Timeseries Feature Generation & Selection

In this notebook we show how one can create and select features specifically for time series modelling.
There are some places in which you can explore alternative solutions, and try to find an even better solution yourself.

The notebook contains the following parts:

Setup: Here we setup and verify the environment (mainly data directory and imports)
Data load: Now we load the data, and show some statistics
Feature generation: Derive features to allow better models
Defining evaluation: Define our objective/cost function, and train/validate/test sets.
Model tuning: Determine a model which performs best given the features
Selecting features: Choose other features, such that the model generalizes better
Final score on the test set: After all our tuning, get the final score on the testset

1 - Setup

Folders

Here we define the directory holding the dataset, this folder should contain the soi.dat and recruit.dat datasets:



In [1]:

    
datafolder = "../data"

Determining wether the folder holds the expected data files:



In [2]:

    
import os
has_soi = sum([name.endswith("soi.dat") for name in os.listdir(datafolder)])
has_recruit = sum([name.endswith("recruit.dat") for name in os.listdir(datafolder)])

And telling you if the folder is correct:



In [3]:

    
if (has_soi and has_recruit):
    print 'You are ready to go'
else:
    print 'Your current directory is:'
    print os.getcwd()
    print 'And found the following files in the "{}" directory:'.format(datafolder)
    print os.listdir(datafolder)
    print ''
if not has_soi:
    print 'You are missing soi.dat'
if not has_recruit:
    print 'You are missing recruit.dat'
assert (has_soi and has_recruit)









    



You are ready to go

Imports

We have placed all imports at the beginning to not clutter the other cells. Any failed import means you probably aren't running in the correct kernel. Please verify you are using 'Python [conda env:meetup_ds_timeseris]', which can be created using conda env create -f environment.yml



In [4]:

    
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
matplotlib.style.use('ggplot')
#%load_ext autoreload
#%autoreload 1
#%aimport bdranalytics
import bdranalytics
import pandas as pd
import numpy as np
import scipy as sc
import seaborn as sns
from scipy.ndimage.interpolation import shift
import sklearn
from sklearn import linear_model, model_selection
from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.linear_model import Ridge, ElasticNet
from sklearn.feature_selection import RFE, RFECV
from sklearn.metrics import mean_squared_error
import itertools
from sklearn.metrics import make_scorer, r2_score
from sklearn.metrics.scorer import r2_scorer, mean_squared_error_scorer
import statsmodels
import statsmodels.tsa.api as sm
from bdranalytics.model_selection.growingwindow import GrowingWindow
from bdranalytics.pandaspipeline.transformers import PdFeatureChain, PdFeatureUnion, PdWindowTransformer, PdLagTransformer
from IPython.display import display
import IPython
print "IPython version: {}".format(IPython.__version__)
print "statsmodels: {}".format(statsmodels.__version__)
print "numpy: {}".format(np.__version__)
print "scipy: {}".format(sc.__version__)
print "sklearn: {}".format(sklearn.__version__)
print "pandas: {}".format(pd.__version__)









    



/Users/gerben/anaconda3/envs/bdranalytics/lib/python2.7/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.
  from pandas.core import datetools






    



IPython version: 5.3.0
statsmodels: 0.8.0
numpy: 1.13.1
scipy: 0.19.1
sklearn: 0.18.2
pandas: 0.20.3

2 - Data load

Here we load the two datasets, soi.dat and recruit.dat.

soi.dat holds the Southern Oscillation Index Data, which is is the difference in barometric pressure at sea level between Tahiti and Darwin. This is related to the El Nino / El Nina effect.
recruit.dat holds new fish recruitment



In [5]:

    
X_orig = pd.read_csv(os.path.join(datafolder, "soi.dat"), header=0, names=["soi"])
rng=pd.date_range('1/1/1866', periods=X_orig.size, freq='MS')
X_orig = X_orig.set_index(rng)
y_orig = pd.read_csv(os.path.join(datafolder, "recruit.dat"), header=0, names=["recruit"]).set_index(rng).iloc[:,0]

Some information about the data set

To following cells show you some (basic) information about the dataset



In [6]:

    
print "The soi dataset is used as features, and is {} rows by {} columns".format(X_orig.shape[0], X_orig.shape[1])
print "The recruit dataset holds the target value, and is a series of {} rows".format(y_orig.shape[0])
print "The first few rows, combining the features with the target, looks as follows:"
print X_orig.join(y_orig).head()
print "Some quantile statistics about the range of values:"
print X_orig.join(y_orig).describe()









    



The soi dataset is used as features, and is 452 rows by 1 columns
The recruit dataset holds the target value, and is a series of 452 rows
The first few rows, combining the features with the target, looks as follows:
                       soi  recruit
1866-01-01 00:00:00  0.246    68.63
1866-02-01 00:00:00  0.311    68.63
1866-03-01 00:00:00  0.104    68.63
1866-04-01 00:00:00 -0.016    68.63
1866-05-01 00:00:00  0.235    68.63
Some quantile statistics about the range of values:
              soi     recruit
count  452.000000  452.000000
mean     0.079381   62.248695
std      0.382915   28.006504
min     -1.000000    1.720000
25%     -0.182750   39.597500
50%      0.115000   68.625000
75%      0.366000   86.860000
max      1.000000  100.000000

Let us now show how the timeseries look through time:



In [7]:

    
fig, ax = plt.subplots(figsize=(17, 5), ncols=1, nrows=2)
ax[0].set_title("soi (the feature)")
fig1 = sns.tsplot(X_orig.soi, ax=ax[0])
ax[1].set_title("recruit (the target)")
fig2 = sns.tsplot(y_orig, ax=ax[1])









    



/Users/gerben/anaconda3/envs/bdranalytics/lib/python2.7/site-packages/seaborn/timeseries.py:183: UserWarning: The tsplot function is deprecated and will be removed or replaced (in a substantially altered version) in a future release.
  warnings.warn(msg, UserWarning)

Defining the target variable

Instead of predicting the current recruit, we will attempt to predict the next recruit. Therefore we shift the y_orig by -1 to get the value of 1 time ahead.

Note that this will result in a NaN value on the last index, which we therefore remove.



In [8]:

    
y = y_orig.shift(-1).dropna() # the next recruit

Defining the base features

Currently we only have the soi feature as dataset. As we also know the current soi value, we add that to X.

As we have one less value of y (we don't know the next value at the last row), we subselect only the X features for which we have a predictable future recruit value.



In [9]:

    
X = pd.concat([X_orig,  # the original features: the current soi
               y_orig.to_frame() # the current recruit
              ], axis=1, join_axes=[X_orig.index]).loc[y.index,:]

3 - Feature generation

Now we have a set of features X, and a target sequence y. We will now enrich the dataset by with additional features to allow better predictions on y. The final set of features will be assigned to the variable X.

This uses a sklearn transformer PdLagTransformer which will be explained in the next section

Add derived features

Given this first version of X, we can add new features. In general, you can add transformations of the colums, using for example :

To simplify the application of such transformations, we have created a few helper transformers, which work nicely with sklearn's pipelines:

PdLagTransformer(lag): This transforms the columns by adding a 'lagged' version. The constructor argument defines the lag to apply. This uses pandas.DataFrame.shift to shift the columns. The returned transformation however, also has modified column names. A column soi, if shifted 1, will be transformed into a column named soi_lag1.
PdWindowTransformer(function, window): This transforms the column using a rolling. All constructor arguments are passed through to pandas.DataFrame.rolling. In general, one usually provides a function, and a window. The window defines the number of previous values to take, and then applies the provided function to those values.

The sklearn FeatureUnion and Pipeline unfortunately drop the column names when pandas dataframes are passed to them. Therefore we've also made pandas versions:

PdFeatureUnion: Same as sklearn's FeatureUnion, but propagates column names of the contained transformers.
The sklearn's FeatureUnion always returns a numpy array, without column labels.
Our PdFeatureUnion always returns a pandas DataFrame, propagating the column labels of the contained transformers.
If the applied transformer does not return a pandas DataFrame (thus no column labels), column labels are generated using the format transformername-index. For example, PdFeatureUnion([(feat,MyTransformer())]) will generate column labels like feat-1 and feat-2 if the MyTransformer's transform() function returns a numpy array.
PdFeatureChain: Similar to sklearn's Pipeline, applies subsequent transformers to each other result.
Thus PdFeatureChain( [ ('f1', MyFirstTransformer()), ('f2', MySecondTransformer()) ] ) will apply MySecondTransformer.transform on the result of MyFirstTransformer.transform.

Selecting usefull rows

As the previous examples show, applying lags and windows result in NaN values for the first few rows. Let us remove those to only have complete rows.



In [11]:

    
X_dev = combined_features.fit_transform(X).dropna()
y = y[X_dev.index] # because of dropped rows in X, need to also select corresponding remaining rows from y
X = X.loc[X_dev.index,:]

ps. You might think, are we allowed to do fit_transform on the complete dataset?! Yes we are, because we don't have information leakage, because:

the feature only takes into acount previous rows (rows with older timestamps)

and our cross validation, explained below, only tests on future rows (rows with more recent timestamps).

4 - Defining the evaluation

Defining the test method of the model

With a dataset of features (X), and a target variable (y), let's see how well we can predict the recruit.
First we define the evaluation metric, and some helper functions to easily get results for cross validation:

model_score is the function we use to determine the cost
model_scorer is the same function, wrapped by sklearn to be able to be used by model selectors.
cross_val determines the cross validated test score, in which the folds are created specifically for timeseries. The data is divided into cv_count+ splits.
The first fold uses split 1 as train set, and split 2 as validation set.
The second fold uses split 1 and 2 as train set, and split 3 as validation set. The cv_countth fold uses split 1 up till cv_count as train set, and split cv_count+1 as validation set.
cross_val_train determines the cross validated train score. Thus similar to cross_val, but returns the train error instead of the validation error.



In [12]:

    
model_score = mean_squared_error
model_scorer = make_scorer(mean_squared_error, greater_is_better=False)

def cross_val(estimator, X, y, scorer = model_scorer, cv_count=10):
    return model_selection.cross_val_score(estimator, X, y.to_frame(), 
                                           scoring = scorer,
                                           cv=GrowingWindow(cv_count))

## for different folds, trains the model, en returns the error on the **train** sets.
def cross_val_train(estimator, X, y, scorer = model_scorer, cv_count=10):
    return [scorer(estimator.fit(X.iloc[train,:], y.iloc[train]),
                   X.iloc[train,:],
                   y.iloc[train])
             for train, test in GrowingWindow(cv_count).split(X)]

Selecting a hold out set

First we extract a train & test set from the full dataset



In [13]:

    
i_train, i_test = list(itertools.islice(GrowingWindow(8).split(X), 6, 7))[0]
X_train = X.iloc[i_train,:]
y_train = y[i_train]

X_test = X.iloc[i_test,:]
y_test = y[i_test]
print "Train datasize dimensions = {}, Test datasets dimensions= {} ".format(X_train.shape, X_test.shape)









    



Train datasize dimensions = (332, 2), Test datasets dimensions= (48, 2)



In [14]:

    
print "The names of the available columns:"
display(X_train.columns)









    



The names of the available columns:






    





Index([u'soi', u'recruit'], dtype='object')

Neural network approach



In [15]:

    
num_series = 1
timesteps = X_train.shape[0]
data_dim = X_train.shape[1]

from sklearn.preprocessing import StandardScaler
x_scaler = StandardScaler().fit(X_train)
y_scaler = StandardScaler().fit(y_train.values.reshape(-1, 1))



In [16]:

    
X_train_p = x_scaler.transform(X_train).reshape(num_series, timesteps, data_dim)
y_train_p = y_scaler.transform(y_train.values.reshape(-1, 1)).reshape(num_series, timesteps, 1)



In [17]:

    
print X_train_p.shape
print y_train_p.shape









    



(1, 332, 2)
(1, 332, 1)



In [18]:

    
print y_scaler.mean_
print y_scaler.scale_









    



[ 58.65421705]
[ 29.50997955]



In [19]:

    
x_scaler.transform(X_train)[0:5,:]









    Out[19]:





array([[ 1.66291068,  0.46302952],
       [ 2.00151723,  0.31591731],
       [ 1.26743891,  0.21535134],
       [ 1.18214108, -0.16041367],
       [-0.28860034, -0.7002781 ]])



In [20]:

    
X_train_p[:,0:5,:]









    Out[20]:





array([[[ 1.66291068,  0.46302952],
        [ 2.00151723,  0.31591731],
        [ 1.26743891,  0.21535134],
        [ 1.18214108, -0.16041367],
        [-0.28860034, -0.7002781 ]]])



In [21]:

    
import keras
import keras.backend as K
from keras.models import Sequential
from keras.layers import LSTM, Dense, TimeDistributed, Dropout
from keras.callbacks import EarlyStopping, TensorBoard, ReduceLROnPlateau


val_size = 40
i_fit = np.arange(0, timesteps - val_size)

def mse(y_true, y_pred):
    y_true = y_true * y_scaler.scale_ + y_scaler.mean_
    y_pred = y_pred * y_scaler.scale_ + y_scaler.mean_
    return K.mean(K.square(y_true[-val_size:] - y_pred[-val_size:]))









    



Using TensorFlow backend.



In [21]:

    
def run1():
    tensor_board = TensorBoard(log_dir="../tensorboardlog/baseline")
    early_stopping = EarlyStopping(monitor='val_loss', min_delta=0, patience=20, verbose=0, mode='auto')

    model = Sequential()
    model.add(LSTM(128, return_sequences=True, activation='tanh', input_shape=(None, 2)))
    model.add(LSTM(128, return_sequences=True, activation='tanh', dropout=0.5))
    model.add(TimeDistributed(Dense(1, activation='linear')))
    model.compile(loss='mean_squared_error', optimizer='adam', metrics=[mse])

    model.summary()


    fit = model.fit(X_train_p[:,i_fit,:], y_train_p[:,i_fit,:], epochs=1000,
              validation_data=(X_train_p, y_train_p),
              verbose=2, callbacks=[early_stopping, tensor_board])
    return fit
run1()









    



Using TensorFlow backend.






    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_1 (LSTM)                (None, None, 128)         67072     
_________________________________________________________________
lstm_2 (LSTM)                (None, None, 128)         131584    
_________________________________________________________________
time_distributed_1 (TimeDist (None, None, 1)           129       
=================================================================
Total params: 198,785
Trainable params: 198,785
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.9083 - mse: 790.9547 - val_loss: 0.8972 - val_mse: 781.3371
Epoch 2/1000
1s - loss: 0.8545 - mse: 744.1086 - val_loss: 0.8220 - val_mse: 715.8292
Epoch 3/1000
1s - loss: 0.7201 - mse: 627.1072 - val_loss: 0.7449 - val_mse: 648.7037
Epoch 4/1000
1s - loss: 0.6964 - mse: 606.4576 - val_loss: 0.6683 - val_mse: 582.0075
Epoch 5/1000
1s - loss: 0.5992 - mse: 521.8114 - val_loss: 0.5940 - val_mse: 517.2427
Epoch 6/1000
1s - loss: 0.5811 - mse: 506.0759 - val_loss: 0.5254 - val_mse: 457.5026
Epoch 7/1000
1s - loss: 0.4938 - mse: 430.0151 - val_loss: 0.4597 - val_mse: 400.3083
Epoch 8/1000
1s - loss: 0.4550 - mse: 396.2624 - val_loss: 0.3962 - val_mse: 344.9967
Epoch 9/1000
1s - loss: 0.3530 - mse: 307.4027 - val_loss: 0.3350 - val_mse: 291.7655
Epoch 10/1000
1s - loss: 0.2901 - mse: 252.6662 - val_loss: 0.2872 - val_mse: 250.1254
Epoch 11/1000
1s - loss: 0.2736 - mse: 238.2263 - val_loss: 0.2682 - val_mse: 233.5919
Epoch 12/1000
1s - loss: 0.2781 - mse: 242.1921 - val_loss: 0.2633 - val_mse: 229.3116
Epoch 13/1000
1s - loss: 0.2814 - mse: 245.0701 - val_loss: 0.2577 - val_mse: 224.4009
Epoch 14/1000
1s - loss: 0.2767 - mse: 240.9391 - val_loss: 0.2511 - val_mse: 218.6911
Epoch 15/1000
1s - loss: 0.3114 - mse: 271.1451 - val_loss: 0.2364 - val_mse: 205.8622
Epoch 16/1000
1s - loss: 0.2619 - mse: 228.0664 - val_loss: 0.2182 - val_mse: 190.0244
Epoch 17/1000
1s - loss: 0.2818 - mse: 245.3675 - val_loss: 0.2062 - val_mse: 179.6104
Epoch 18/1000
1s - loss: 0.2044 - mse: 177.9973 - val_loss: 0.2047 - val_mse: 178.2897
Epoch 19/1000
1s - loss: 0.1942 - mse: 169.0754 - val_loss: 0.2073 - val_mse: 180.5076
Epoch 20/1000
1s - loss: 0.3306 - mse: 287.9187 - val_loss: 0.2037 - val_mse: 177.3622
Epoch 21/1000
1s - loss: 0.2130 - mse: 185.4852 - val_loss: 0.1985 - val_mse: 172.8472
Epoch 22/1000
1s - loss: 0.2941 - mse: 256.1532 - val_loss: 0.1929 - val_mse: 168.0213
Epoch 23/1000
1s - loss: 0.1936 - mse: 168.6019 - val_loss: 0.1911 - val_mse: 166.4178
Epoch 24/1000
1s - loss: 0.2203 - mse: 191.8451 - val_loss: 0.1939 - val_mse: 168.8548
Epoch 25/1000
1s - loss: 0.2065 - mse: 179.8041 - val_loss: 0.2105 - val_mse: 183.3094
Epoch 26/1000
1s - loss: 0.2015 - mse: 175.5173 - val_loss: 0.2343 - val_mse: 204.0158
Epoch 27/1000
1s - loss: 0.1837 - mse: 159.9419 - val_loss: 0.2422 - val_mse: 210.9469
Epoch 28/1000
1s - loss: 0.1833 - mse: 159.6100 - val_loss: 0.2349 - val_mse: 204.5684
Epoch 29/1000
1s - loss: 0.2445 - mse: 212.9469 - val_loss: 0.1979 - val_mse: 172.3583
Epoch 30/1000
1s - loss: 0.2161 - mse: 188.2079 - val_loss: 0.1684 - val_mse: 146.6255
Epoch 31/1000
1s - loss: 0.1626 - mse: 141.6063 - val_loss: 0.1639 - val_mse: 142.7368
Epoch 32/1000
1s - loss: 0.1724 - mse: 150.1331 - val_loss: 0.1769 - val_mse: 154.0398
Epoch 33/1000
1s - loss: 0.1604 - mse: 139.6449 - val_loss: 0.1985 - val_mse: 172.8857
Epoch 34/1000
1s - loss: 0.1878 - mse: 163.5768 - val_loss: 0.2125 - val_mse: 185.0526
Epoch 35/1000
1s - loss: 0.2004 - mse: 174.5559 - val_loss: 0.2125 - val_mse: 185.0214
Epoch 36/1000
1s - loss: 0.2185 - mse: 190.2495 - val_loss: 0.1997 - val_mse: 173.9435
Epoch 37/1000
1s - loss: 0.2271 - mse: 197.7722 - val_loss: 0.1810 - val_mse: 157.6171
Epoch 38/1000
1s - loss: 0.2218 - mse: 193.1829 - val_loss: 0.1620 - val_mse: 141.0877
Epoch 39/1000
1s - loss: 0.1919 - mse: 167.1468 - val_loss: 0.1515 - val_mse: 131.9361
Epoch 40/1000
1s - loss: 0.1535 - mse: 133.7166 - val_loss: 0.1518 - val_mse: 132.1612
Epoch 41/1000
1s - loss: 0.1539 - mse: 133.9853 - val_loss: 0.1576 - val_mse: 137.2102
Epoch 42/1000
1s - loss: 0.1678 - mse: 146.1017 - val_loss: 0.1604 - val_mse: 139.7161
Epoch 43/1000
1s - loss: 0.1471 - mse: 128.1036 - val_loss: 0.1624 - val_mse: 141.3821
Epoch 44/1000
1s - loss: 0.2245 - mse: 195.5364 - val_loss: 0.1568 - val_mse: 136.5336
Epoch 45/1000
1s - loss: 0.1524 - mse: 132.7142 - val_loss: 0.1542 - val_mse: 134.3004
Epoch 46/1000
1s - loss: 0.1840 - mse: 160.2746 - val_loss: 0.1490 - val_mse: 129.7815
Epoch 47/1000
1s - loss: 0.1563 - mse: 136.0831 - val_loss: 0.1461 - val_mse: 127.2540
Epoch 48/1000
1s - loss: 0.1372 - mse: 119.4427 - val_loss: 0.1467 - val_mse: 127.7800
Epoch 49/1000
1s - loss: 0.1346 - mse: 117.2456 - val_loss: 0.1510 - val_mse: 131.4627
Epoch 50/1000
1s - loss: 0.1376 - mse: 119.8246 - val_loss: 0.1552 - val_mse: 135.1169
Epoch 51/1000
1s - loss: 0.1362 - mse: 118.6021 - val_loss: 0.1570 - val_mse: 136.7486
Epoch 52/1000
1s - loss: 0.1613 - mse: 140.4967 - val_loss: 0.1552 - val_mse: 135.1500
Epoch 53/1000
1s - loss: 0.1307 - mse: 113.7794 - val_loss: 0.1513 - val_mse: 131.7612
Epoch 54/1000
1s - loss: 0.2208 - mse: 192.3058 - val_loss: 0.1435 - val_mse: 124.9799
Epoch 55/1000
1s - loss: 0.1257 - mse: 109.4633 - val_loss: 0.1385 - val_mse: 120.5724
Epoch 56/1000
1s - loss: 0.1270 - mse: 110.6120 - val_loss: 0.1347 - val_mse: 117.3207
Epoch 57/1000
1s - loss: 0.1805 - mse: 157.1558 - val_loss: 0.1330 - val_mse: 115.7831
Epoch 58/1000
1s - loss: 0.1624 - mse: 141.4470 - val_loss: 0.1358 - val_mse: 118.2851
Epoch 59/1000
1s - loss: 0.1632 - mse: 142.1065 - val_loss: 0.1374 - val_mse: 119.6755
Epoch 60/1000
1s - loss: 0.1383 - mse: 120.4376 - val_loss: 0.1397 - val_mse: 121.6656
Epoch 61/1000
1s - loss: 0.1555 - mse: 135.4362 - val_loss: 0.1385 - val_mse: 120.6030
Epoch 62/1000
1s - loss: 0.1372 - mse: 119.5116 - val_loss: 0.1393 - val_mse: 121.3228
Epoch 63/1000
1s - loss: 0.1297 - mse: 112.9816 - val_loss: 0.1389 - val_mse: 120.9676
Epoch 64/1000
1s - loss: 0.1178 - mse: 102.5564 - val_loss: 0.1380 - val_mse: 120.1913
Epoch 65/1000
1s - loss: 0.1434 - mse: 124.8869 - val_loss: 0.1374 - val_mse: 119.6929
Epoch 66/1000
1s - loss: 0.1140 - mse: 99.2693 - val_loss: 0.1359 - val_mse: 118.3578
Epoch 67/1000
1s - loss: 0.1201 - mse: 104.5711 - val_loss: 0.1325 - val_mse: 115.3851
Epoch 68/1000
1s - loss: 0.1170 - mse: 101.8704 - val_loss: 0.1279 - val_mse: 111.3930
Epoch 69/1000
1s - loss: 0.1135 - mse: 98.8300 - val_loss: 0.1247 - val_mse: 108.5933
Epoch 70/1000
1s - loss: 0.1205 - mse: 104.9758 - val_loss: 0.1233 - val_mse: 107.3951
Epoch 71/1000
1s - loss: 0.1111 - mse: 96.7330 - val_loss: 0.1218 - val_mse: 106.0637
Epoch 72/1000
1s - loss: 0.1202 - mse: 104.6330 - val_loss: 0.1198 - val_mse: 104.2951
Epoch 73/1000
1s - loss: 0.1128 - mse: 98.1955 - val_loss: 0.1185 - val_mse: 103.2204
Epoch 74/1000
1s - loss: 0.1037 - mse: 90.3159 - val_loss: 0.1174 - val_mse: 102.2423
Epoch 75/1000
1s - loss: 0.1033 - mse: 89.9682 - val_loss: 0.1168 - val_mse: 101.7077
Epoch 76/1000
1s - loss: 0.1119 - mse: 97.4672 - val_loss: 0.1160 - val_mse: 100.9744
Epoch 77/1000
1s - loss: 0.1065 - mse: 92.7217 - val_loss: 0.1147 - val_mse: 99.9124
Epoch 78/1000
1s - loss: 0.1051 - mse: 91.5340 - val_loss: 0.1137 - val_mse: 99.0092
Epoch 79/1000
1s - loss: 0.1063 - mse: 92.6031 - val_loss: 0.1121 - val_mse: 97.6027
Epoch 80/1000
1s - loss: 0.1202 - mse: 104.6314 - val_loss: 0.1107 - val_mse: 96.3913
Epoch 81/1000
1s - loss: 0.1204 - mse: 104.8131 - val_loss: 0.1090 - val_mse: 94.9133
Epoch 82/1000
1s - loss: 0.0980 - mse: 85.3662 - val_loss: 0.1081 - val_mse: 94.1610
Epoch 83/1000
1s - loss: 0.1105 - mse: 96.2268 - val_loss: 0.1081 - val_mse: 94.1771
Epoch 84/1000
1s - loss: 0.0972 - mse: 84.6610 - val_loss: 0.1079 - val_mse: 93.9676
Epoch 85/1000
1s - loss: 0.0994 - mse: 86.5996 - val_loss: 0.1069 - val_mse: 93.0885
Epoch 86/1000
1s - loss: 0.1257 - mse: 109.4343 - val_loss: 0.1049 - val_mse: 91.3109
Epoch 87/1000
1s - loss: 0.0951 - mse: 82.7767 - val_loss: 0.1048 - val_mse: 91.2785
Epoch 88/1000
1s - loss: 0.0948 - mse: 82.5715 - val_loss: 0.1036 - val_mse: 90.2457
Epoch 89/1000
1s - loss: 0.1124 - mse: 97.9170 - val_loss: 0.1025 - val_mse: 89.2864
Epoch 90/1000
1s - loss: 0.1045 - mse: 90.9808 - val_loss: 0.1004 - val_mse: 87.4332
Epoch 91/1000
1s - loss: 0.0907 - mse: 79.0079 - val_loss: 0.1005 - val_mse: 87.5444
Epoch 92/1000
1s - loss: 0.1184 - mse: 103.1285 - val_loss: 0.0985 - val_mse: 85.7699
Epoch 93/1000
1s - loss: 0.1157 - mse: 100.7416 - val_loss: 0.0955 - val_mse: 83.2083
Epoch 94/1000
1s - loss: 0.1190 - mse: 103.6401 - val_loss: 0.0950 - val_mse: 82.7130
Epoch 95/1000
1s - loss: 0.1210 - mse: 105.4023 - val_loss: 0.0933 - val_mse: 81.2413
Epoch 96/1000
1s - loss: 0.0848 - mse: 73.8514 - val_loss: 0.0930 - val_mse: 81.0007
Epoch 97/1000
1s - loss: 0.0905 - mse: 78.8280 - val_loss: 0.0918 - val_mse: 79.9519
Epoch 98/1000
1s - loss: 0.0947 - mse: 82.4417 - val_loss: 0.0896 - val_mse: 78.0054
Epoch 99/1000
1s - loss: 0.1018 - mse: 88.6559 - val_loss: 0.0874 - val_mse: 76.1100
Epoch 100/1000
1s - loss: 0.0861 - mse: 74.9937 - val_loss: 0.0862 - val_mse: 75.1052
Epoch 101/1000
1s - loss: 0.0872 - mse: 75.9684 - val_loss: 0.0853 - val_mse: 74.2714
Epoch 102/1000
1s - loss: 0.0732 - mse: 63.7717 - val_loss: 0.0846 - val_mse: 73.6401
Epoch 103/1000
1s - loss: 0.0829 - mse: 72.2009 - val_loss: 0.0837 - val_mse: 72.8614
Epoch 104/1000
1s - loss: 0.0813 - mse: 70.8370 - val_loss: 0.0831 - val_mse: 72.4073
Epoch 105/1000
1s - loss: 0.0950 - mse: 82.7439 - val_loss: 0.0843 - val_mse: 73.3819
Epoch 106/1000
1s - loss: 0.0808 - mse: 70.4017 - val_loss: 0.0858 - val_mse: 74.7128
Epoch 107/1000
1s - loss: 0.0880 - mse: 76.6234 - val_loss: 0.0858 - val_mse: 74.7516
Epoch 108/1000
1s - loss: 0.0794 - mse: 69.1472 - val_loss: 0.0835 - val_mse: 72.7304
Epoch 109/1000
1s - loss: 0.0955 - mse: 83.1477 - val_loss: 0.0802 - val_mse: 69.8361
Epoch 110/1000
1s - loss: 0.0805 - mse: 70.0702 - val_loss: 0.0762 - val_mse: 66.3376
Epoch 111/1000
1s - loss: 0.0642 - mse: 55.9143 - val_loss: 0.0736 - val_mse: 64.0842
Epoch 112/1000
1s - loss: 0.0671 - mse: 58.4030 - val_loss: 0.0728 - val_mse: 63.4173
Epoch 113/1000
1s - loss: 0.0659 - mse: 57.4085 - val_loss: 0.0731 - val_mse: 63.6168
Epoch 114/1000
1s - loss: 0.1013 - mse: 88.2473 - val_loss: 0.0723 - val_mse: 62.9779
Epoch 115/1000
1s - loss: 0.0821 - mse: 71.4999 - val_loss: 0.0734 - val_mse: 63.9336
Epoch 116/1000
1s - loss: 0.0696 - mse: 60.5828 - val_loss: 0.0764 - val_mse: 66.5572
Epoch 117/1000
1s - loss: 0.0800 - mse: 69.6441 - val_loss: 0.0777 - val_mse: 67.6460
Epoch 118/1000
1s - loss: 0.0723 - mse: 62.9801 - val_loss: 0.0762 - val_mse: 66.3920
Epoch 119/1000
1s - loss: 0.0599 - mse: 52.1769 - val_loss: 0.0742 - val_mse: 64.5909
Epoch 120/1000
1s - loss: 0.0723 - mse: 62.9356 - val_loss: 0.0703 - val_mse: 61.2229
Epoch 121/1000
1s - loss: 0.0730 - mse: 63.5731 - val_loss: 0.0664 - val_mse: 57.8112
Epoch 122/1000
1s - loss: 0.0819 - mse: 71.3524 - val_loss: 0.0655 - val_mse: 57.0145
Epoch 123/1000
1s - loss: 0.0592 - mse: 51.5968 - val_loss: 0.0681 - val_mse: 59.2802
Epoch 124/1000
1s - loss: 0.0714 - mse: 62.1368 - val_loss: 0.0739 - val_mse: 64.3187
Epoch 125/1000
1s - loss: 0.1414 - mse: 123.1134 - val_loss: 0.0739 - val_mse: 64.3515
Epoch 126/1000
1s - loss: 0.0740 - mse: 64.4629 - val_loss: 0.0698 - val_mse: 60.7531
Epoch 127/1000
1s - loss: 0.0756 - mse: 65.8090 - val_loss: 0.0652 - val_mse: 56.8106
Epoch 128/1000
1s - loss: 0.0623 - mse: 54.2742 - val_loss: 0.0623 - val_mse: 54.2130
Epoch 129/1000
1s - loss: 0.0849 - mse: 73.9324 - val_loss: 0.0600 - val_mse: 52.2197
Epoch 130/1000
1s - loss: 0.0642 - mse: 55.9325 - val_loss: 0.0610 - val_mse: 53.1611
Epoch 131/1000
1s - loss: 0.0536 - mse: 46.6396 - val_loss: 0.0652 - val_mse: 56.7380
Epoch 132/1000
1s - loss: 0.0646 - mse: 56.2374 - val_loss: 0.0671 - val_mse: 58.4548
Epoch 133/1000
1s - loss: 0.0704 - mse: 61.2862 - val_loss: 0.0654 - val_mse: 56.9163
Epoch 134/1000
1s - loss: 0.0671 - mse: 58.4420 - val_loss: 0.0612 - val_mse: 53.2528
Epoch 135/1000
1s - loss: 0.0656 - mse: 57.1286 - val_loss: 0.0574 - val_mse: 49.9647
Epoch 136/1000
1s - loss: 0.0602 - mse: 52.4673 - val_loss: 0.0559 - val_mse: 48.6455
Epoch 137/1000
1s - loss: 0.0584 - mse: 50.8433 - val_loss: 0.0568 - val_mse: 49.4215
Epoch 138/1000
1s - loss: 0.0603 - mse: 52.4844 - val_loss: 0.0577 - val_mse: 50.2571
Epoch 139/1000
1s - loss: 0.0544 - mse: 47.3429 - val_loss: 0.0581 - val_mse: 50.5951
Epoch 140/1000
1s - loss: 0.0624 - mse: 54.3192 - val_loss: 0.0557 - val_mse: 48.5443
Epoch 141/1000
1s - loss: 0.0799 - mse: 69.6224 - val_loss: 0.0567 - val_mse: 49.3430
Epoch 142/1000
1s - loss: 0.0522 - mse: 45.4318 - val_loss: 0.0585 - val_mse: 50.9816
Epoch 143/1000
1s - loss: 0.0840 - mse: 73.1153 - val_loss: 0.0579 - val_mse: 50.4065
Epoch 144/1000
1s - loss: 0.0591 - mse: 51.4576 - val_loss: 0.0575 - val_mse: 50.1074
Epoch 145/1000
1s - loss: 0.1035 - mse: 90.0985 - val_loss: 0.0519 - val_mse: 45.1880
Epoch 146/1000
1s - loss: 0.0516 - mse: 44.9362 - val_loss: 0.0497 - val_mse: 43.3079
Epoch 147/1000
1s - loss: 0.0547 - mse: 47.6384 - val_loss: 0.0506 - val_mse: 44.0872
Epoch 148/1000
1s - loss: 0.0573 - mse: 49.9043 - val_loss: 0.0524 - val_mse: 45.6420
Epoch 149/1000
1s - loss: 0.0591 - mse: 51.5081 - val_loss: 0.0537 - val_mse: 46.7469
Epoch 150/1000
1s - loss: 0.0503 - mse: 43.8238 - val_loss: 0.0549 - val_mse: 47.8310
Epoch 151/1000
1s - loss: 0.0539 - mse: 46.9762 - val_loss: 0.0551 - val_mse: 47.9897
Epoch 152/1000
1s - loss: 0.0526 - mse: 45.7710 - val_loss: 0.0542 - val_mse: 47.1580
Epoch 153/1000
1s - loss: 0.0773 - mse: 67.3304 - val_loss: 0.0531 - val_mse: 46.2105
Epoch 154/1000
1s - loss: 0.0691 - mse: 60.1510 - val_loss: 0.0492 - val_mse: 42.8825
Epoch 155/1000
1s - loss: 0.0492 - mse: 42.8325 - val_loss: 0.0463 - val_mse: 40.3593
Epoch 156/1000
1s - loss: 0.1011 - mse: 88.0809 - val_loss: 0.0462 - val_mse: 40.2181
Epoch 157/1000
1s - loss: 0.0765 - mse: 66.5921 - val_loss: 0.0471 - val_mse: 41.0075
Epoch 158/1000
1s - loss: 0.0595 - mse: 51.7943 - val_loss: 0.0475 - val_mse: 41.3547
Epoch 159/1000
1s - loss: 0.0456 - mse: 39.7497 - val_loss: 0.0496 - val_mse: 43.1677
Epoch 160/1000
1s - loss: 0.0604 - mse: 52.5630 - val_loss: 0.0536 - val_mse: 46.6879
Epoch 161/1000
1s - loss: 0.0719 - mse: 62.5769 - val_loss: 0.0529 - val_mse: 46.0758
Epoch 162/1000
1s - loss: 0.0868 - mse: 75.5905 - val_loss: 0.0482 - val_mse: 41.9876
Epoch 163/1000
1s - loss: 0.0525 - mse: 45.7433 - val_loss: 0.0437 - val_mse: 38.0892
Epoch 164/1000
1s - loss: 0.0455 - mse: 39.6568 - val_loss: 0.0415 - val_mse: 36.1424
Epoch 165/1000
1s - loss: 0.0416 - mse: 36.2600 - val_loss: 0.0420 - val_mse: 36.6147
Epoch 166/1000
1s - loss: 0.0440 - mse: 38.2811 - val_loss: 0.0438 - val_mse: 38.1830
Epoch 167/1000
1s - loss: 0.0426 - mse: 37.1007 - val_loss: 0.0454 - val_mse: 39.5515
Epoch 168/1000
1s - loss: 0.0546 - mse: 47.5601 - val_loss: 0.0458 - val_mse: 39.8883
Epoch 169/1000
1s - loss: 0.0551 - mse: 47.9949 - val_loss: 0.0433 - val_mse: 37.6899
Epoch 170/1000
1s - loss: 0.0466 - mse: 40.6051 - val_loss: 0.0413 - val_mse: 35.9455
Epoch 171/1000
1s - loss: 0.0622 - mse: 54.1763 - val_loss: 0.0407 - val_mse: 35.4224
Epoch 172/1000
1s - loss: 0.0428 - mse: 37.3082 - val_loss: 0.0433 - val_mse: 37.6853
Epoch 173/1000
1s - loss: 0.0418 - mse: 36.3979 - val_loss: 0.0463 - val_mse: 40.2890
Epoch 174/1000
1s - loss: 0.0527 - mse: 45.9148 - val_loss: 0.0459 - val_mse: 40.0007
Epoch 175/1000
1s - loss: 0.0520 - mse: 45.2563 - val_loss: 0.0463 - val_mse: 40.3205
Epoch 176/1000
1s - loss: 0.0422 - mse: 36.7868 - val_loss: 0.0459 - val_mse: 39.9339
Epoch 177/1000
1s - loss: 0.0404 - mse: 35.1677 - val_loss: 0.0447 - val_mse: 38.9013
Epoch 178/1000
1s - loss: 0.0394 - mse: 34.2991 - val_loss: 0.0432 - val_mse: 37.6205
Epoch 179/1000
1s - loss: 0.0460 - mse: 40.0824 - val_loss: 0.0410 - val_mse: 35.6734
Epoch 180/1000
1s - loss: 0.0444 - mse: 38.6780 - val_loss: 0.0393 - val_mse: 34.2383
Epoch 181/1000
1s - loss: 0.0553 - mse: 48.1582 - val_loss: 0.0374 - val_mse: 32.5278
Epoch 182/1000
1s - loss: 0.0399 - mse: 34.7895 - val_loss: 0.0368 - val_mse: 32.0135
Epoch 183/1000
1s - loss: 0.0502 - mse: 43.7044 - val_loss: 0.0372 - val_mse: 32.4369
Epoch 184/1000
1s - loss: 0.0363 - mse: 31.5982 - val_loss: 0.0381 - val_mse: 33.2090
Epoch 185/1000
1s - loss: 0.0477 - mse: 41.5755 - val_loss: 0.0385 - val_mse: 33.5367
Epoch 186/1000
1s - loss: 0.0430 - mse: 37.4745 - val_loss: 0.0389 - val_mse: 33.9146
Epoch 187/1000
1s - loss: 0.0484 - mse: 42.1331 - val_loss: 0.0386 - val_mse: 33.6459
Epoch 188/1000
1s - loss: 0.0347 - mse: 30.2259 - val_loss: 0.0387 - val_mse: 33.7303
Epoch 189/1000
1s - loss: 0.0385 - mse: 33.4922 - val_loss: 0.0397 - val_mse: 34.5716
Epoch 190/1000
1s - loss: 0.0775 - mse: 67.5116 - val_loss: 0.0392 - val_mse: 34.1039
Epoch 191/1000
1s - loss: 0.0421 - mse: 36.6361 - val_loss: 0.0382 - val_mse: 33.2592
Epoch 192/1000
1s - loss: 0.0383 - mse: 33.3505 - val_loss: 0.0376 - val_mse: 32.7001
Epoch 193/1000
1s - loss: 0.0432 - mse: 37.6010 - val_loss: 0.0363 - val_mse: 31.6132
Epoch 194/1000
1s - loss: 0.0452 - mse: 39.3804 - val_loss: 0.0352 - val_mse: 30.6933
Epoch 195/1000
1s - loss: 0.0471 - mse: 41.0564 - val_loss: 0.0358 - val_mse: 31.1750
Epoch 196/1000
1s - loss: 0.0388 - mse: 33.8010 - val_loss: 0.0362 - val_mse: 31.5662
Epoch 197/1000
1s - loss: 0.0416 - mse: 36.2050 - val_loss: 0.0364 - val_mse: 31.6998
Epoch 198/1000
1s - loss: 0.0420 - mse: 36.5998 - val_loss: 0.0357 - val_mse: 31.1135
Epoch 199/1000
1s - loss: 0.0425 - mse: 37.0475 - val_loss: 0.0348 - val_mse: 30.3219
Epoch 200/1000
1s - loss: 0.0425 - mse: 37.0414 - val_loss: 0.0350 - val_mse: 30.4434
Epoch 201/1000
1s - loss: 0.0648 - mse: 56.4550 - val_loss: 0.0365 - val_mse: 31.7438
Epoch 202/1000
1s - loss: 0.0351 - mse: 30.5457 - val_loss: 0.0403 - val_mse: 35.1135
Epoch 203/1000
1s - loss: 0.0654 - mse: 56.9385 - val_loss: 0.0413 - val_mse: 35.9984
Epoch 204/1000
1s - loss: 0.0371 - mse: 32.3235 - val_loss: 0.0417 - val_mse: 36.3204
Epoch 205/1000
1s - loss: 0.0666 - mse: 58.0123 - val_loss: 0.0391 - val_mse: 34.0262
Epoch 206/1000
1s - loss: 0.0356 - mse: 30.9718 - val_loss: 0.0363 - val_mse: 31.5842
Epoch 207/1000
1s - loss: 0.0617 - mse: 53.7635 - val_loss: 0.0342 - val_mse: 29.8222
Epoch 208/1000
1s - loss: 0.0491 - mse: 42.7184 - val_loss: 0.0352 - val_mse: 30.6342
Epoch 209/1000
1s - loss: 0.0369 - mse: 32.1279 - val_loss: 0.0384 - val_mse: 33.4310
Epoch 210/1000
1s - loss: 0.0481 - mse: 41.9140 - val_loss: 0.0415 - val_mse: 36.1211
Epoch 211/1000
1s - loss: 0.0500 - mse: 43.5665 - val_loss: 0.0433 - val_mse: 37.7344
Epoch 212/1000
1s - loss: 0.0519 - mse: 45.2337 - val_loss: 0.0406 - val_mse: 35.3833
Epoch 213/1000
1s - loss: 0.0435 - mse: 37.8833 - val_loss: 0.0370 - val_mse: 32.2214
Epoch 214/1000
1s - loss: 0.0469 - mse: 40.8749 - val_loss: 0.0337 - val_mse: 29.3585
Epoch 215/1000
1s - loss: 0.0505 - mse: 44.0147 - val_loss: 0.0352 - val_mse: 30.6570
Epoch 216/1000
1s - loss: 0.0402 - mse: 35.0095 - val_loss: 0.0402 - val_mse: 34.9787
Epoch 217/1000
1s - loss: 0.0345 - mse: 30.0196 - val_loss: 0.0447 - val_mse: 38.9681
Epoch 218/1000
1s - loss: 0.0646 - mse: 56.2780 - val_loss: 0.0444 - val_mse: 38.6787
Epoch 219/1000
1s - loss: 0.0420 - mse: 36.5457 - val_loss: 0.0415 - val_mse: 36.1105
Epoch 220/1000
1s - loss: 0.0508 - mse: 44.2634 - val_loss: 0.0370 - val_mse: 32.2478
Epoch 221/1000
1s - loss: 0.0350 - mse: 30.4381 - val_loss: 0.0339 - val_mse: 29.5207
Epoch 222/1000
1s - loss: 0.0361 - mse: 31.4221 - val_loss: 0.0328 - val_mse: 28.5946
Epoch 223/1000
1s - loss: 0.0442 - mse: 38.5312 - val_loss: 0.0328 - val_mse: 28.5453
Epoch 224/1000
1s - loss: 0.0355 - mse: 30.8768 - val_loss: 0.0342 - val_mse: 29.7414
Epoch 225/1000
1s - loss: 0.0465 - mse: 40.5089 - val_loss: 0.0359 - val_mse: 31.2381
Epoch 226/1000
1s - loss: 0.0646 - mse: 56.2876 - val_loss: 0.0350 - val_mse: 30.4869
Epoch 227/1000
1s - loss: 0.0360 - mse: 31.3754 - val_loss: 0.0339 - val_mse: 29.5451
Epoch 228/1000
1s - loss: 0.0392 - mse: 34.1020 - val_loss: 0.0329 - val_mse: 28.6580
Epoch 229/1000
1s - loss: 0.0396 - mse: 34.5189 - val_loss: 0.0330 - val_mse: 28.7482
Epoch 230/1000
1s - loss: 0.0320 - mse: 27.8401 - val_loss: 0.0333 - val_mse: 29.0175
Epoch 231/1000
1s - loss: 0.0404 - mse: 35.2244 - val_loss: 0.0327 - val_mse: 28.4711
Epoch 232/1000
1s - loss: 0.0397 - mse: 34.5503 - val_loss: 0.0320 - val_mse: 27.8468
Epoch 233/1000
1s - loss: 0.0362 - mse: 31.5538 - val_loss: 0.0320 - val_mse: 27.9021
Epoch 234/1000
1s - loss: 0.0326 - mse: 28.4041 - val_loss: 0.0326 - val_mse: 28.3932
Epoch 235/1000
1s - loss: 0.0379 - mse: 33.0129 - val_loss: 0.0331 - val_mse: 28.8638
Epoch 236/1000
1s - loss: 0.0462 - mse: 40.2076 - val_loss: 0.0331 - val_mse: 28.8250
Epoch 237/1000
1s - loss: 0.0333 - mse: 28.9578 - val_loss: 0.0329 - val_mse: 28.6826
Epoch 238/1000
1s - loss: 0.0417 - mse: 36.3561 - val_loss: 0.0324 - val_mse: 28.2299
Epoch 239/1000
1s - loss: 0.0328 - mse: 28.5512 - val_loss: 0.0326 - val_mse: 28.3753
Epoch 240/1000
1s - loss: 0.0339 - mse: 29.5278 - val_loss: 0.0335 - val_mse: 29.1932
Epoch 241/1000
1s - loss: 0.0387 - mse: 33.7023 - val_loss: 0.0346 - val_mse: 30.1528
Epoch 242/1000
1s - loss: 0.0312 - mse: 27.2127 - val_loss: 0.0363 - val_mse: 31.5886
Epoch 243/1000
1s - loss: 0.0369 - mse: 32.1000 - val_loss: 0.0371 - val_mse: 32.2843
Epoch 244/1000
1s - loss: 0.0380 - mse: 33.0910 - val_loss: 0.0360 - val_mse: 31.3113
Epoch 245/1000
1s - loss: 0.0355 - mse: 30.9226 - val_loss: 0.0345 - val_mse: 30.0697
Epoch 246/1000
1s - loss: 0.0353 - mse: 30.7592 - val_loss: 0.0339 - val_mse: 29.4826
Epoch 247/1000
1s - loss: 0.0369 - mse: 32.0942 - val_loss: 0.0350 - val_mse: 30.4509
Epoch 248/1000
1s - loss: 0.0389 - mse: 33.8972 - val_loss: 0.0358 - val_mse: 31.1962
Epoch 249/1000
1s - loss: 0.0448 - mse: 39.0287 - val_loss: 0.0360 - val_mse: 31.3933
Epoch 250/1000
1s - loss: 0.0702 - mse: 61.1286 - val_loss: 0.0345 - val_mse: 30.0231
Epoch 251/1000
1s - loss: 0.0448 - mse: 38.9710 - val_loss: 0.0325 - val_mse: 28.3129
Epoch 252/1000
1s - loss: 0.0357 - mse: 31.1127 - val_loss: 0.0330 - val_mse: 28.7171
Epoch 253/1000
1s - loss: 0.0342 - mse: 29.7554 - val_loss: 0.0352 - val_mse: 30.6663






    Out[21]:





<keras.callbacks.History at 0x122463110>



In [ ]:

    
#import tensorflow as tf
#config = tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1, \
#                        allow_soft_placement=True, device_count = {'CPU': 1})
#session = tf.Session(config=config)
#K.set_session(session)

With adaptive learning rate



In [22]:

    
def run2():
    tensor_board = TensorBoard(log_dir="../tensorboardlog/adaptivelearningrate")
    reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.3, patience=10, min_lr=1e-4)
    early_stopping = EarlyStopping(monitor='val_loss', min_delta=0, patience=21, verbose=0, mode='auto')

    model = Sequential()
    model.add(LSTM(128, return_sequences=True, activation='tanh', input_shape=(None, 2)))
    model.add(LSTM(128, return_sequences=True, activation='tanh', dropout=0.5))
    model.add(TimeDistributed(Dense(1, activation='linear')))
    optimizer = keras.optimizers.Adam(lr=3e-2, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.0)
    model.compile(loss='mean_squared_error', optimizer=optimizer, metrics=[mse])
    model.summary()

    fit = model.fit(X_train_p[:,i_fit,:], y_train_p[:,i_fit,:], epochs=1000,
              validation_data=(X_train_p, y_train_p),
              verbose=2, callbacks=[reduce_lr, early_stopping, tensor_board])
    return fit
run2()









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_3 (LSTM)                (None, None, 128)         67072     
_________________________________________________________________
lstm_4 (LSTM)                (None, None, 128)         131584    
_________________________________________________________________
time_distributed_2 (TimeDist (None, None, 1)           129       
=================================================================
Total params: 198,785
Trainable params: 198,785
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.1465 - mse: 998.4250 - val_loss: 5.1012 - val_mse: 4442.3613
Epoch 2/1000
1s - loss: 1.2659 - mse: 1102.3705 - val_loss: 0.7449 - val_mse: 648.6743
Epoch 3/1000
1s - loss: 1.2923 - mse: 1125.3623 - val_loss: 7.9018 - val_mse: 6881.2305
Epoch 4/1000
1s - loss: 6.3767 - mse: 5553.1060 - val_loss: 6.3168 - val_mse: 5500.9170
Epoch 5/1000
1s - loss: 7.1250 - mse: 6204.7271 - val_loss: 0.9911 - val_mse: 863.0881
Epoch 6/1000
1s - loss: 0.9746 - mse: 848.7036 - val_loss: 2.1019 - val_mse: 1830.4066
Epoch 7/1000
1s - loss: 2.2955 - mse: 1998.9812 - val_loss: 1.4191 - val_mse: 1235.7671
Epoch 8/1000
1s - loss: 1.5638 - mse: 1361.8092 - val_loss: 0.9853 - val_mse: 858.0172
Epoch 9/1000
1s - loss: 0.9327 - mse: 812.2507 - val_loss: 1.0880 - val_mse: 947.4519
Epoch 10/1000
1s - loss: 1.2820 - mse: 1116.4261 - val_loss: 1.0319 - val_mse: 898.6151
Epoch 11/1000
1s - loss: 0.9334 - mse: 812.8337 - val_loss: 0.9842 - val_mse: 857.0486
Epoch 12/1000
1s - loss: 0.9720 - mse: 846.4697 - val_loss: 0.9725 - val_mse: 846.9117
Epoch 13/1000
1s - loss: 0.9328 - mse: 812.3026 - val_loss: 0.9795 - val_mse: 852.9534
Epoch 14/1000
1s - loss: 0.9850 - mse: 857.7466 - val_loss: 0.9740 - val_mse: 848.1866
Epoch 15/1000
1s - loss: 0.9891 - mse: 861.3672 - val_loss: 0.9595 - val_mse: 835.5325
Epoch 16/1000
1s - loss: 0.9378 - mse: 816.6587 - val_loss: 0.9694 - val_mse: 844.1813
Epoch 17/1000
1s - loss: 0.9170 - mse: 798.5861 - val_loss: 0.9791 - val_mse: 852.6243
Epoch 18/1000
1s - loss: 0.9233 - mse: 804.0872 - val_loss: 0.9862 - val_mse: 858.8570
Epoch 19/1000
1s - loss: 0.9146 - mse: 796.4493 - val_loss: 0.9898 - val_mse: 861.9689
Epoch 20/1000
1s - loss: 1.0133 - mse: 882.4155 - val_loss: 0.9815 - val_mse: 854.7602
Epoch 21/1000
1s - loss: 0.9097 - mse: 792.1597 - val_loss: 0.9683 - val_mse: 843.2084
Epoch 22/1000
1s - loss: 0.9330 - mse: 812.5115 - val_loss: 0.9553 - val_mse: 831.9518
Epoch 23/1000
1s - loss: 0.9243 - mse: 804.8976 - val_loss: 0.9395 - val_mse: 818.1611
Epoch 24/1000
1s - loss: 0.9126 - mse: 794.7335 - val_loss: 0.9357 - val_mse: 814.8511






    Out[22]:





<keras.callbacks.History at 0x124a59bd0>

thus in 40 epochs less a 10% improved val_mse by using adaptive lr

iterative

if adding nodes did not improve for this nr of steps, we stop adding nodes:



In [22]:

    
def assign_weights(model, prev_weights):
    for i in range(min(len(prev_weights), len(model.layers))): # over minimum nr of layers
            old_weights = prev_weights[i]
            curr_weights = model.layers[i].get_weights()
            for j in range(len(curr_weights)): # within layer
                if (curr_weights[j].shape == old_weights[j].shape): # only if shape is equal (else useless)
                    curr_weights[j] = old_weights[j]
            model.layers[i].set_weights(curr_weights)

note , the reduce_lr and early stopping should collaborate well, in case the initial lr is way too high, it should have the possibility to be reduced enough before the early stopping kicks in

so initial lr * factor^floor(patience_early_stopping / patience_lr_reduce) should be low enough to always converge in a few steps : patience_early_stopping % patience_lr_reduce



In [59]:

    
def run_depth1(width, learning_params, initial_weights=None, label=''):
    model = Sequential()
    model.add(LSTM(width, return_sequences=True, activation='tanh', input_shape=(None, 2)))
    model.add(TimeDistributed(Dense(1, activation='linear')))
    optimizer = keras.optimizers.Adam(lr=learning_params['lr_intial'], 
                                      beta_1=0.9, 
                                      beta_2=0.999, 
                                      epsilon=1e-08, 
                                      decay=learning_params['lr_decay'])
    model.compile(loss='mean_squared_error', optimizer=optimizer, metrics=[mse])
    if not initial_weights is None:
        assign_weights(model, initial_weights)   
    model.summary()

    reduce_lr = ReduceLROnPlateau(monitor='val_loss', 
                                  cooldown=learning_params['lr_plateau_cooldown'], 
                                  factor=learning_params['lr_plateau_factor'], 
                                  patience=learning_params['lr_plateau_patience'], 
                                  min_lr=learning_params['lr_minimum'],
                                  verbose=1)
    tensor_board = TensorBoard(log_dir="../tensorboardlog/{}depth1_width{}".format(label, width))
    early_stopping = EarlyStopping(monitor='val_loss', 
                                   min_delta=learning_params['stop_delta'],
                                   patience=learning_params['stop_patience'], 
                                   verbose=0, 
                                   mode='auto')
    
    fit = model.fit(X_train_p[:,i_fit,:], 
                    y_train_p[:,i_fit,:], 
                    epochs=learning_params['epochs_max'], 
                    validation_data=(X_train_p, y_train_p),
                    verbose=2, 
                    callbacks=[reduce_lr, early_stopping, tensor_board]
                   )
    return fit, {'width':width, 
                 'label':label,
                 'dropout':0.0,
                       'val_mse':fit.history['val_mse'][-1],
                       'val_loss':fit.history['val_loss'][-1],
                       'mse':fit.history['mse'][-1],
                       'loss':fit.history['loss'][-1],
                      }, [layer.get_weights() for layer in model.layers]



In [24]:

    
learningrates1 = {
'lr_intial' : 1e-2, # higher than the default
'lr_decay' : 0.01, # for adam it is 1 / (1 + decay * t) , thus with decay 0.001 and at t==1000, lr is divided by 2
                # note that the effect of this decay is not visible in tensorboard
'lr_plateau_factor' : 0.7, # if no convergence (possibly by too high lr), we boost the lr decay
'lr_plateau_patience' : 4, # nr of consequetive epochs without improvement before we boost the lr decay
'lr_plateau_cooldown' : 10, # first do this nr of iterations at new lr before detecting plateau
'lr_minimum' : 1e-6, # the minimum lr too which we decay (for plateau detection)

'stop_patience' : 30, # if no extra improvement after this nr of steps , we terminate learning
'stop_delta' : 0.0001, # the epsilon, changes below this threshold are 'no improvement'
'epochs_max' : 1000 # limit the total nr op epochs, very high, we will stop based on plateau
}



In [64]:

    
width_patience=2 # if increasing width this nr of times did not improve val_loss, stop
width_perf = []
prev_weights = []
for width in range(10, 411, 100):
    fit, results = run_depth1(width, learningrates1, prev_weights, 'bigsteps')
    width_perf.append(results)
    prev_weights=[layer.get_weights() for layer in model.layers]
    print width_perf
    if len(width_perf)>width_patience and width_perf[-1]['val_mse']>np.min(x['val_mse'] for x in width_perf[-width_patience:-1]):
        break









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_59 (LSTM)               (None, None, 10)          520       
_________________________________________________________________
time_distributed_56 (TimeDis (None, None, 1)           11        
=================================================================
Total params: 531
Trainable params: 531
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 1.3547 - mse: 1179.7335 - val_loss: 1.2747 - val_mse: 1110.0435
Epoch 2/1000
0s - loss: 1.2338 - mse: 1074.4353 - val_loss: 1.1850 - val_mse: 1031.9619
Epoch 3/1000
0s - loss: 1.1431 - mse: 995.4827 - val_loss: 1.0981 - val_mse: 956.3091
Epoch 4/1000
0s - loss: 1.0556 - mse: 919.2869 - val_loss: 1.0151 - val_mse: 884.0290
Epoch 5/1000
0s - loss: 0.9723 - mse: 846.6887 - val_loss: 0.9360 - val_mse: 815.0782
Epoch 6/1000
0s - loss: 0.8929 - mse: 777.6034 - val_loss: 0.8585 - val_mse: 747.6198
Epoch 7/1000
0s - loss: 0.8155 - mse: 710.1999 - val_loss: 0.7881 - val_mse: 686.2993
Epoch 8/1000
0s - loss: 0.7454 - mse: 649.1453 - val_loss: 0.7233 - val_mse: 629.8950
Epoch 9/1000
0s - loss: 0.6812 - mse: 593.2500 - val_loss: 0.6652 - val_mse: 579.3065
Epoch 10/1000
0s - loss: 0.6240 - mse: 543.4362 - val_loss: 0.6145 - val_mse: 535.1041
Epoch 11/1000
0s - loss: 0.5745 - mse: 500.2588 - val_loss: 0.5709 - val_mse: 497.1838
Epoch 12/1000
0s - loss: 0.5323 - mse: 463.5423 - val_loss: 0.5336 - val_mse: 464.7080
Epoch 13/1000
0s - loss: 0.4965 - mse: 432.3303 - val_loss: 0.5012 - val_mse: 436.4428
Epoch 14/1000
0s - loss: 0.4654 - mse: 405.2642 - val_loss: 0.4722 - val_mse: 411.2238
Epoch 15/1000
0s - loss: 0.4376 - mse: 381.0974 - val_loss: 0.4457 - val_mse: 388.1028
Epoch 16/1000
0s - loss: 0.4121 - mse: 358.8678 - val_loss: 0.4207 - val_mse: 366.3392
Epoch 17/1000
0s - loss: 0.3880 - mse: 337.8780 - val_loss: 0.3966 - val_mse: 345.4022
Epoch 18/1000
0s - loss: 0.3648 - mse: 317.6667 - val_loss: 0.3732 - val_mse: 325.0078
Epoch 19/1000
0s - loss: 0.3422 - mse: 298.0150 - val_loss: 0.3504 - val_mse: 305.1399
Epoch 20/1000
0s - loss: 0.3203 - mse: 278.9517 - val_loss: 0.3284 - val_mse: 285.9854
Epoch 21/1000
0s - loss: 0.2993 - mse: 260.6832 - val_loss: 0.3075 - val_mse: 267.8020
Epoch 22/1000
0s - loss: 0.2796 - mse: 243.4658 - val_loss: 0.2880 - val_mse: 250.7869
Epoch 23/1000
0s - loss: 0.2612 - mse: 227.4813 - val_loss: 0.2699 - val_mse: 234.9961
Epoch 24/1000
0s - loss: 0.2443 - mse: 212.7672 - val_loss: 0.2530 - val_mse: 220.3377
Epoch 25/1000
0s - loss: 0.2288 - mse: 199.2192 - val_loss: 0.2373 - val_mse: 206.6260
Epoch 26/1000
0s - loss: 0.2143 - mse: 186.6522 - val_loss: 0.2224 - val_mse: 193.6642
Epoch 27/1000
0s - loss: 0.2008 - mse: 174.8815 - val_loss: 0.2082 - val_mse: 181.3066
Epoch 28/1000
0s - loss: 0.1881 - mse: 163.7771 - val_loss: 0.1948 - val_mse: 169.6130
Epoch 29/1000
0s - loss: 0.1761 - mse: 153.3901 - val_loss: 0.1818 - val_mse: 158.3001
Epoch 30/1000
0s - loss: 0.1647 - mse: 143.4556 - val_loss: 0.1695 - val_mse: 147.5660
Epoch 31/1000
0s - loss: 0.1540 - mse: 134.1203 - val_loss: 0.1579 - val_mse: 137.5199
Epoch 32/1000
0s - loss: 0.1440 - mse: 125.4388 - val_loss: 0.1473 - val_mse: 128.3141
Epoch 33/1000
0s - loss: 0.1349 - mse: 117.5014 - val_loss: 0.1379 - val_mse: 120.1214
Epoch 34/1000
0s - loss: 0.1268 - mse: 110.4019 - val_loss: 0.1298 - val_mse: 113.0358
Epoch 35/1000
0s - loss: 0.1196 - mse: 104.1749 - val_loss: 0.1230 - val_mse: 107.0760
Epoch 36/1000
0s - loss: 0.1135 - mse: 98.8196 - val_loss: 0.1172 - val_mse: 102.0328
Epoch 37/1000
0s - loss: 0.1081 - mse: 94.1371 - val_loss: 0.1124 - val_mse: 97.8990
Epoch 38/1000
0s - loss: 0.1035 - mse: 90.1350 - val_loss: 0.1087 - val_mse: 94.6634
Epoch 39/1000
0s - loss: 0.0997 - mse: 86.8474 - val_loss: 0.1060 - val_mse: 92.3249
Epoch 40/1000
0s - loss: 0.0968 - mse: 84.3314 - val_loss: 0.1042 - val_mse: 90.7707
Epoch 41/1000
0s - loss: 0.0948 - mse: 82.5717 - val_loss: 0.1032 - val_mse: 89.8557
Epoch 42/1000
0s - loss: 0.0935 - mse: 81.4481 - val_loss: 0.1025 - val_mse: 89.2860
Epoch 43/1000
0s - loss: 0.0927 - mse: 80.7063 - val_loss: 0.1019 - val_mse: 88.6950
Epoch 44/1000
0s - loss: 0.0919 - mse: 80.0025 - val_loss: 0.1008 - val_mse: 87.7764
Epoch 45/1000
0s - loss: 0.0908 - mse: 79.0434 - val_loss: 0.0992 - val_mse: 86.4155
Epoch 46/1000
0s - loss: 0.0892 - mse: 77.7093 - val_loss: 0.0973 - val_mse: 84.6951
Epoch 47/1000
0s - loss: 0.0874 - mse: 76.0782 - val_loss: 0.0951 - val_mse: 82.8344
Epoch 48/1000
0s - loss: 0.0854 - mse: 74.3685 - val_loss: 0.0931 - val_mse: 81.0627
Epoch 49/1000
0s - loss: 0.0836 - mse: 72.8101 - val_loss: 0.0913 - val_mse: 79.5218
Epoch 50/1000
0s - loss: 0.0821 - mse: 71.5369 - val_loss: 0.0898 - val_mse: 78.2432
Epoch 51/1000
0s - loss: 0.0810 - mse: 70.5540 - val_loss: 0.0886 - val_mse: 77.1253
Epoch 52/1000
0s - loss: 0.0801 - mse: 69.7262 - val_loss: 0.0874 - val_mse: 76.0957
Epoch 53/1000
0s - loss: 0.0792 - mse: 68.9456 - val_loss: 0.0863 - val_mse: 75.1569
Epoch 54/1000
0s - loss: 0.0783 - mse: 68.2111 - val_loss: 0.0854 - val_mse: 74.3466
Epoch 55/1000
0s - loss: 0.0776 - mse: 67.5775 - val_loss: 0.0846 - val_mse: 73.6581
Epoch 56/1000
0s - loss: 0.0770 - mse: 67.0499 - val_loss: 0.0839 - val_mse: 73.0304
Epoch 57/1000
0s - loss: 0.0764 - mse: 66.5652 - val_loss: 0.0831 - val_mse: 72.3776
Epoch 58/1000
0s - loss: 0.0758 - mse: 66.0284 - val_loss: 0.0823 - val_mse: 71.6549
Epoch 59/1000
0s - loss: 0.0751 - mse: 65.3890 - val_loss: 0.0814 - val_mse: 70.9175
Epoch 60/1000
0s - loss: 0.0743 - mse: 64.7104 - val_loss: 0.0807 - val_mse: 70.2366
Epoch 61/1000
0s - loss: 0.0736 - mse: 64.0818 - val_loss: 0.0800 - val_mse: 69.6359
Epoch 62/1000
0s - loss: 0.0730 - mse: 63.5423 - val_loss: 0.0793 - val_mse: 69.1001
Epoch 63/1000
0s - loss: 0.0724 - mse: 63.0754 - val_loss: 0.0787 - val_mse: 68.5781
Epoch 64/1000
0s - loss: 0.0719 - mse: 62.6161 - val_loss: 0.0781 - val_mse: 68.0390
Epoch 65/1000
0s - loss: 0.0713 - mse: 62.1342 - val_loss: 0.0775 - val_mse: 67.4808
Epoch 66/1000
0s - loss: 0.0708 - mse: 61.6483 - val_loss: 0.0769 - val_mse: 66.9260
Epoch 67/1000
0s - loss: 0.0703 - mse: 61.1908 - val_loss: 0.0762 - val_mse: 66.3855
Epoch 68/1000
0s - loss: 0.0698 - mse: 60.7598 - val_loss: 0.0756 - val_mse: 65.8473
Epoch 69/1000
0s - loss: 0.0693 - mse: 60.3226 - val_loss: 0.0750 - val_mse: 65.2970
Epoch 70/1000
0s - loss: 0.0687 - mse: 59.8559 - val_loss: 0.0743 - val_mse: 64.7451
Epoch 71/1000
0s - loss: 0.0682 - mse: 59.3785 - val_loss: 0.0737 - val_mse: 64.2158
Epoch 72/1000
0s - loss: 0.0677 - mse: 58.9270 - val_loss: 0.0732 - val_mse: 63.7451
Epoch 73/1000
0s - loss: 0.0672 - mse: 58.5359 - val_loss: 0.0727 - val_mse: 63.3374
Epoch 74/1000
0s - loss: 0.0668 - mse: 58.1969 - val_loss: 0.0723 - val_mse: 62.9619
Epoch 75/1000
0s - loss: 0.0665 - mse: 57.8817 - val_loss: 0.0719 - val_mse: 62.5880
Epoch 76/1000
0s - loss: 0.0661 - mse: 57.5765 - val_loss: 0.0715 - val_mse: 62.2236
Epoch 77/1000
0s - loss: 0.0658 - mse: 57.2896 - val_loss: 0.0711 - val_mse: 61.8932
Epoch 78/1000
0s - loss: 0.0655 - mse: 57.0267 - val_loss: 0.0707 - val_mse: 61.5854
Epoch 79/1000
0s - loss: 0.0652 - mse: 56.7661 - val_loss: 0.0704 - val_mse: 61.2679
Epoch 80/1000
0s - loss: 0.0649 - mse: 56.4888 - val_loss: 0.0700 - val_mse: 60.9322
Epoch 81/1000
0s - loss: 0.0645 - mse: 56.1957 - val_loss: 0.0696 - val_mse: 60.6078
Epoch 82/1000
0s - loss: 0.0642 - mse: 55.9086 - val_loss: 0.0692 - val_mse: 60.3026
Epoch 83/1000
0s - loss: 0.0639 - mse: 55.6349 - val_loss: 0.0689 - val_mse: 59.9948
Epoch 84/1000
0s - loss: 0.0636 - mse: 55.3690 - val_loss: 0.0685 - val_mse: 59.6736
Epoch 85/1000
0s - loss: 0.0633 - mse: 55.1042 - val_loss: 0.0682 - val_mse: 59.3595
Epoch 86/1000
0s - loss: 0.0630 - mse: 54.8497 - val_loss: 0.0678 - val_mse: 59.0662
Epoch 87/1000
0s - loss: 0.0627 - mse: 54.6141 - val_loss: 0.0675 - val_mse: 58.7778
Epoch 88/1000
0s - loss: 0.0625 - mse: 54.3870 - val_loss: 0.0672 - val_mse: 58.4860
Epoch 89/1000
0s - loss: 0.0622 - mse: 54.1590 - val_loss: 0.0668 - val_mse: 58.1937
Epoch 90/1000
0s - loss: 0.0619 - mse: 53.9263 - val_loss: 0.0665 - val_mse: 57.9063
Epoch 91/1000
0s - loss: 0.0617 - mse: 53.6936 - val_loss: 0.0662 - val_mse: 57.6257
Epoch 92/1000
0s - loss: 0.0614 - mse: 53.4680 - val_loss: 0.0659 - val_mse: 57.3509
Epoch 93/1000
0s - loss: 0.0611 - mse: 53.2500 - val_loss: 0.0656 - val_mse: 57.0844
Epoch 94/1000
0s - loss: 0.0609 - mse: 53.0371 - val_loss: 0.0653 - val_mse: 56.8274
Epoch 95/1000
0s - loss: 0.0607 - mse: 52.8289 - val_loss: 0.0650 - val_mse: 56.5798
Epoch 96/1000
0s - loss: 0.0604 - mse: 52.6275 - val_loss: 0.0647 - val_mse: 56.3419
Epoch 97/1000
0s - loss: 0.0602 - mse: 52.4326 - val_loss: 0.0644 - val_mse: 56.1132
Epoch 98/1000
1s - loss: 0.0600 - mse: 52.2401 - val_loss: 0.0642 - val_mse: 55.8892
Epoch 99/1000
0s - loss: 0.0598 - mse: 52.0462 - val_loss: 0.0639 - val_mse: 55.6689
Epoch 100/1000
0s - loss: 0.0595 - mse: 51.8529 - val_loss: 0.0637 - val_mse: 55.4500
Epoch 101/1000
0s - loss: 0.0593 - mse: 51.6593 - val_loss: 0.0634 - val_mse: 55.2381
Epoch 102/1000
0s - loss: 0.0591 - mse: 51.4700 - val_loss: 0.0632 - val_mse: 55.0298
Epoch 103/1000
0s - loss: 0.0589 - mse: 51.2842 - val_loss: 0.0630 - val_mse: 54.8226
Epoch 104/1000
0s - loss: 0.0587 - mse: 51.1016 - val_loss: 0.0627 - val_mse: 54.6182
Epoch 105/1000
0s - loss: 0.0585 - mse: 50.9234 - val_loss: 0.0625 - val_mse: 54.4173
Epoch 106/1000
0s - loss: 0.0583 - mse: 50.7493 - val_loss: 0.0623 - val_mse: 54.2167
Epoch 107/1000
0s - loss: 0.0581 - mse: 50.5781 - val_loss: 0.0620 - val_mse: 54.0143
Epoch 108/1000
0s - loss: 0.0579 - mse: 50.4078 - val_loss: 0.0618 - val_mse: 53.8115
Epoch 109/1000
0s - loss: 0.0577 - mse: 50.2379 - val_loss: 0.0616 - val_mse: 53.6122
Epoch 110/1000
0s - loss: 0.0575 - mse: 50.0699 - val_loss: 0.0613 - val_mse: 53.4144
Epoch 111/1000
0s - loss: 0.0573 - mse: 49.9053 - val_loss: 0.0611 - val_mse: 53.2191
Epoch 112/1000
0s - loss: 0.0571 - mse: 49.7437 - val_loss: 0.0609 - val_mse: 53.0264
Epoch 113/1000
0s - loss: 0.0569 - mse: 49.5843 - val_loss: 0.0607 - val_mse: 52.8347
Epoch 114/1000
0s - loss: 0.0568 - mse: 49.4266 - val_loss: 0.0605 - val_mse: 52.6442
Epoch 115/1000
0s - loss: 0.0566 - mse: 49.2696 - val_loss: 0.0602 - val_mse: 52.4568
Epoch 116/1000
0s - loss: 0.0564 - mse: 49.1138 - val_loss: 0.0600 - val_mse: 52.2708
Epoch 117/1000
0s - loss: 0.0562 - mse: 48.9589 - val_loss: 0.0598 - val_mse: 52.0861
Epoch 118/1000
0s - loss: 0.0560 - mse: 48.8048 - val_loss: 0.0596 - val_mse: 51.9050
Epoch 119/1000
0s - loss: 0.0559 - mse: 48.6527 - val_loss: 0.0594 - val_mse: 51.7266
Epoch 120/1000
0s - loss: 0.0557 - mse: 48.5028 - val_loss: 0.0592 - val_mse: 51.5501
Epoch 121/1000
0s - loss: 0.0555 - mse: 48.3547 - val_loss: 0.0590 - val_mse: 51.3765
Epoch 122/1000
0s - loss: 0.0554 - mse: 48.2083 - val_loss: 0.0588 - val_mse: 51.2030
Epoch 123/1000
0s - loss: 0.0552 - mse: 48.0623 - val_loss: 0.0586 - val_mse: 51.0305
Epoch 124/1000
0s - loss: 0.0550 - mse: 47.9177 - val_loss: 0.0584 - val_mse: 50.8590
Epoch 125/1000
0s - loss: 0.0549 - mse: 47.7735 - val_loss: 0.0582 - val_mse: 50.6879
Epoch 126/1000
0s - loss: 0.0547 - mse: 47.6303 - val_loss: 0.0580 - val_mse: 50.5175
Epoch 127/1000
0s - loss: 0.0545 - mse: 47.4880 - val_loss: 0.0578 - val_mse: 50.3484
Epoch 128/1000
0s - loss: 0.0544 - mse: 47.3464 - val_loss: 0.0576 - val_mse: 50.1793
Epoch 129/1000
0s - loss: 0.0542 - mse: 47.2059 - val_loss: 0.0574 - val_mse: 50.0116
Epoch 130/1000
0s - loss: 0.0540 - mse: 47.0660 - val_loss: 0.0572 - val_mse: 49.8443
Epoch 131/1000
0s - loss: 0.0539 - mse: 46.9269 - val_loss: 0.0570 - val_mse: 49.6800
Epoch 132/1000
0s - loss: 0.0537 - mse: 46.7898 - val_loss: 0.0569 - val_mse: 49.5178
Epoch 133/1000
0s - loss: 0.0536 - mse: 46.6548 - val_loss: 0.0567 - val_mse: 49.3567
Epoch 134/1000
0s - loss: 0.0534 - mse: 46.5201 - val_loss: 0.0565 - val_mse: 49.1962
Epoch 135/1000
0s - loss: 0.0533 - mse: 46.3862 - val_loss: 0.0563 - val_mse: 49.0366
Epoch 136/1000
0s - loss: 0.0531 - mse: 46.2524 - val_loss: 0.0561 - val_mse: 48.8770
Epoch 137/1000
0s - loss: 0.0530 - mse: 46.1197 - val_loss: 0.0559 - val_mse: 48.7208
Epoch 138/1000
0s - loss: 0.0528 - mse: 45.9885 - val_loss: 0.0558 - val_mse: 48.5630
Epoch 139/1000
0s - loss: 0.0527 - mse: 45.8597 - val_loss: 0.0556 - val_mse: 48.4196
Epoch 140/1000
0s - loss: 0.0525 - mse: 45.7380 - val_loss: 0.0555 - val_mse: 48.2927
Epoch 141/1000
0s - loss: 0.0524 - mse: 45.6532 - val_loss: 0.0555 - val_mse: 48.3620
Epoch 142/1000
0s - loss: 0.0525 - mse: 45.7432 - val_loss: 0.0559 - val_mse: 48.6911
Epoch 143/1000
0s - loss: 0.0530 - mse: 46.1973 - val_loss: 0.0558 - val_mse: 48.6026
Epoch 144/1000
0s - loss: 0.0529 - mse: 46.0710 - val_loss: 0.0548 - val_mse: 47.6887
Epoch 145/1000
0s - loss: 0.0518 - mse: 45.1385 - val_loss: 0.0551 - val_mse: 48.0233
Epoch 146/1000
0s - loss: 0.0523 - mse: 45.5607 - val_loss: 0.0549 - val_mse: 47.7767
Epoch 147/1000
0s - loss: 0.0520 - mse: 45.2860 - val_loss: 0.0544 - val_mse: 47.3657
Epoch 148/1000
0s - loss: 0.0515 - mse: 44.8814 - val_loss: 0.0546 - val_mse: 47.5799
Epoch 149/1000
0s - loss: 0.0519 - mse: 45.1816 - val_loss: 0.0540 - val_mse: 47.0298
Epoch 150/1000
0s - loss: 0.0512 - mse: 44.5914 - val_loss: 0.0542 - val_mse: 47.2376
Epoch 151/1000
0s - loss: 0.0515 - mse: 44.8386 - val_loss: 0.0538 - val_mse: 46.8250
Epoch 152/1000
0s - loss: 0.0510 - mse: 44.4427 - val_loss: 0.0538 - val_mse: 46.8367
Epoch 153/1000
0s - loss: 0.0511 - mse: 44.4926 - val_loss: 0.0536 - val_mse: 46.6463
Epoch 154/1000
0s - loss: 0.0509 - mse: 44.2993 - val_loss: 0.0534 - val_mse: 46.5181
Epoch 155/1000
0s - loss: 0.0507 - mse: 44.1927 - val_loss: 0.0533 - val_mse: 46.4065
Epoch 156/1000
0s - loss: 0.0507 - mse: 44.1186 - val_loss: 0.0531 - val_mse: 46.2057
Epoch 157/1000
0s - loss: 0.0504 - mse: 43.9298 - val_loss: 0.0530 - val_mse: 46.1767
Epoch 158/1000
0s - loss: 0.0504 - mse: 43.9186 - val_loss: 0.0528 - val_mse: 45.9466
Epoch 159/1000
0s - loss: 0.0502 - mse: 43.7042 - val_loss: 0.0527 - val_mse: 45.9169
Epoch 160/1000
0s - loss: 0.0502 - mse: 43.7143 - val_loss: 0.0525 - val_mse: 45.6928
Epoch 161/1000
0s - loss: 0.0499 - mse: 43.4937 - val_loss: 0.0525 - val_mse: 45.6817
Epoch 162/1000
0s - loss: 0.0500 - mse: 43.5046 - val_loss: 0.0522 - val_mse: 45.4601
Epoch 163/1000
0s - loss: 0.0497 - mse: 43.2990 - val_loss: 0.0522 - val_mse: 45.4259
Epoch 164/1000
0s - loss: 0.0497 - mse: 43.2980 - val_loss: 0.0519 - val_mse: 45.2353
Epoch 165/1000
0s - loss: 0.0495 - mse: 43.1145 - val_loss: 0.0519 - val_mse: 45.1844
Epoch 166/1000
0s - loss: 0.0495 - mse: 43.0874 - val_loss: 0.0517 - val_mse: 45.0127
Epoch 167/1000
0s - loss: 0.0493 - mse: 42.9374 - val_loss: 0.0516 - val_mse: 44.9275
Epoch 168/1000
0s - loss: 0.0492 - mse: 42.8772 - val_loss: 0.0514 - val_mse: 44.8016
Epoch 169/1000
0s - loss: 0.0491 - mse: 42.7657 - val_loss: 0.0513 - val_mse: 44.6856
Epoch 170/1000
0s - loss: 0.0490 - mse: 42.6702 - val_loss: 0.0512 - val_mse: 44.5849
Epoch 171/1000
0s - loss: 0.0489 - mse: 42.5941 - val_loss: 0.0510 - val_mse: 44.4474
Epoch 172/1000
0s - loss: 0.0488 - mse: 42.4734 - val_loss: 0.0509 - val_mse: 44.3675
Epoch 173/1000
0s - loss: 0.0487 - mse: 42.4161 - val_loss: 0.0508 - val_mse: 44.2210
Epoch 174/1000
0s - loss: 0.0486 - mse: 42.2883 - val_loss: 0.0507 - val_mse: 44.1391
Epoch 175/1000
0s - loss: 0.0485 - mse: 42.2311 - val_loss: 0.0505 - val_mse: 44.0049
Epoch 176/1000
0s - loss: 0.0484 - mse: 42.1151 - val_loss: 0.0504 - val_mse: 43.9082
Epoch 177/1000
0s - loss: 0.0483 - mse: 42.0405 - val_loss: 0.0503 - val_mse: 43.7974
Epoch 178/1000
0s - loss: 0.0482 - mse: 41.9491 - val_loss: 0.0502 - val_mse: 43.6818
Epoch 179/1000
0s - loss: 0.0481 - mse: 41.8524 - val_loss: 0.0501 - val_mse: 43.5873
Epoch 180/1000
0s - loss: 0.0480 - mse: 41.7804 - val_loss: 0.0499 - val_mse: 43.4635
Epoch 181/1000
0s - loss: 0.0479 - mse: 41.6745 - val_loss: 0.0498 - val_mse: 43.3722
Epoch 182/1000
0s - loss: 0.0478 - mse: 41.6041 - val_loss: 0.0497 - val_mse: 43.2555
Epoch 183/1000
0s - loss: 0.0477 - mse: 41.5081 - val_loss: 0.0496 - val_mse: 43.1510
Epoch 184/1000
0s - loss: 0.0476 - mse: 41.4235 - val_loss: 0.0494 - val_mse: 43.0538
Epoch 185/1000
0s - loss: 0.0475 - mse: 41.3442 - val_loss: 0.0493 - val_mse: 42.9396
Epoch 186/1000
0s - loss: 0.0474 - mse: 41.2487 - val_loss: 0.0492 - val_mse: 42.8453
Epoch 187/1000
0s - loss: 0.0473 - mse: 41.1747 - val_loss: 0.0491 - val_mse: 42.7399
Epoch 188/1000
0s - loss: 0.0472 - mse: 41.0841 - val_loss: 0.0490 - val_mse: 42.6400
Epoch 189/1000
0s - loss: 0.0471 - mse: 41.0015 - val_loss: 0.0489 - val_mse: 42.5412
Epoch 190/1000
0s - loss: 0.0470 - mse: 40.9226 - val_loss: 0.0487 - val_mse: 42.4364
Epoch 191/1000
0s - loss: 0.0469 - mse: 40.8330 - val_loss: 0.0486 - val_mse: 42.3438
Epoch 192/1000
0s - loss: 0.0468 - mse: 40.7568 - val_loss: 0.0485 - val_mse: 42.2406
Epoch 193/1000
0s - loss: 0.0467 - mse: 40.6726 - val_loss: 0.0484 - val_mse: 42.1415
Epoch 194/1000
0s - loss: 0.0466 - mse: 40.5896 - val_loss: 0.0483 - val_mse: 42.0500
Epoch 195/1000
0s - loss: 0.0465 - mse: 40.5127 - val_loss: 0.0482 - val_mse: 41.9476
Epoch 196/1000
0s - loss: 0.0464 - mse: 40.4274 - val_loss: 0.0481 - val_mse: 41.8523
Epoch 197/1000
0s - loss: 0.0463 - mse: 40.3488 - val_loss: 0.0480 - val_mse: 41.7588
Epoch 198/1000
0s - loss: 0.0462 - mse: 40.2692 - val_loss: 0.0478 - val_mse: 41.6589
Epoch 199/1000
0s - loss: 0.0461 - mse: 40.1860 - val_loss: 0.0477 - val_mse: 41.5643
Epoch 200/1000
0s - loss: 0.0461 - mse: 40.1087 - val_loss: 0.0476 - val_mse: 41.4696
Epoch 201/1000
0s - loss: 0.0460 - mse: 40.0278 - val_loss: 0.0475 - val_mse: 41.3731
Epoch 202/1000
0s - loss: 0.0459 - mse: 39.9472 - val_loss: 0.0474 - val_mse: 41.2786
Epoch 203/1000
0s - loss: 0.0458 - mse: 39.8697 - val_loss: 0.0473 - val_mse: 41.1838
Epoch 204/1000
0s - loss: 0.0457 - mse: 39.7887 - val_loss: 0.0472 - val_mse: 41.0897
Epoch 205/1000
0s - loss: 0.0456 - mse: 39.7098 - val_loss: 0.0471 - val_mse: 40.9949
Epoch 206/1000
0s - loss: 0.0455 - mse: 39.6317 - val_loss: 0.0470 - val_mse: 40.9004
Epoch 207/1000
0s - loss: 0.0454 - mse: 39.5512 - val_loss: 0.0469 - val_mse: 40.8074
Epoch 208/1000
0s - loss: 0.0453 - mse: 39.4731 - val_loss: 0.0468 - val_mse: 40.7124
Epoch 209/1000
0s - loss: 0.0452 - mse: 39.3947 - val_loss: 0.0466 - val_mse: 40.6184
Epoch 210/1000
0s - loss: 0.0451 - mse: 39.3146 - val_loss: 0.0465 - val_mse: 40.5259
Epoch 211/1000
0s - loss: 0.0451 - mse: 39.2364 - val_loss: 0.0464 - val_mse: 40.4314
Epoch 212/1000
0s - loss: 0.0450 - mse: 39.1574 - val_loss: 0.0463 - val_mse: 40.3381
Epoch 213/1000
0s - loss: 0.0449 - mse: 39.0779 - val_loss: 0.0462 - val_mse: 40.2461
Epoch 214/1000
0s - loss: 0.0448 - mse: 38.9997 - val_loss: 0.0461 - val_mse: 40.1522
Epoch 215/1000
0s - loss: 0.0447 - mse: 38.9212 - val_loss: 0.0460 - val_mse: 40.0599
Epoch 216/1000
0s - loss: 0.0446 - mse: 38.8427 - val_loss: 0.0459 - val_mse: 39.9686
Epoch 217/1000
0s - loss: 0.0445 - mse: 38.7649 - val_loss: 0.0458 - val_mse: 39.8754
Epoch 218/1000
0s - loss: 0.0444 - mse: 38.6863 - val_loss: 0.0457 - val_mse: 39.7831
Epoch 219/1000
0s - loss: 0.0443 - mse: 38.6075 - val_loss: 0.0456 - val_mse: 39.6919
Epoch 220/1000
0s - loss: 0.0442 - mse: 38.5290 - val_loss: 0.0455 - val_mse: 39.5990
Epoch 221/1000
0s - loss: 0.0442 - mse: 38.4501 - val_loss: 0.0454 - val_mse: 39.5072
Epoch 222/1000
0s - loss: 0.0441 - mse: 38.3715 - val_loss: 0.0453 - val_mse: 39.4169
Epoch 223/1000
0s - loss: 0.0440 - mse: 38.2939 - val_loss: 0.0452 - val_mse: 39.3252
Epoch 224/1000
0s - loss: 0.0439 - mse: 38.2160 - val_loss: 0.0451 - val_mse: 39.2344
Epoch 225/1000
0s - loss: 0.0438 - mse: 38.1383 - val_loss: 0.0449 - val_mse: 39.1442
Epoch 226/1000
0s - loss: 0.0437 - mse: 38.0605 - val_loss: 0.0448 - val_mse: 39.0527
Epoch 227/1000
0s - loss: 0.0436 - mse: 37.9820 - val_loss: 0.0447 - val_mse: 38.9618
Epoch 228/1000
0s - loss: 0.0435 - mse: 37.9035 - val_loss: 0.0446 - val_mse: 38.8718
Epoch 229/1000
0s - loss: 0.0434 - mse: 37.8251 - val_loss: 0.0445 - val_mse: 38.7806
Epoch 230/1000
0s - loss: 0.0433 - mse: 37.7463 - val_loss: 0.0444 - val_mse: 38.6899
Epoch 231/1000
0s - loss: 0.0433 - mse: 37.6677 - val_loss: 0.0443 - val_mse: 38.5999
Epoch 232/1000
0s - loss: 0.0432 - mse: 37.5891 - val_loss: 0.0442 - val_mse: 38.5095
Epoch 233/1000
0s - loss: 0.0431 - mse: 37.5105 - val_loss: 0.0441 - val_mse: 38.4200
Epoch 234/1000
0s - loss: 0.0430 - mse: 37.4324 - val_loss: 0.0440 - val_mse: 38.3315
Epoch 235/1000
0s - loss: 0.0429 - mse: 37.3546 - val_loss: 0.0439 - val_mse: 38.2429
Epoch 236/1000
0s - loss: 0.0428 - mse: 37.2769 - val_loss: 0.0438 - val_mse: 38.1546
Epoch 237/1000
0s - loss: 0.0427 - mse: 37.1996 - val_loss: 0.0437 - val_mse: 38.0673
Epoch 238/1000
0s - loss: 0.0426 - mse: 37.1227 - val_loss: 0.0436 - val_mse: 37.9801
Epoch 239/1000
0s - loss: 0.0425 - mse: 37.0461 - val_loss: 0.0435 - val_mse: 37.8929
Epoch 240/1000
0s - loss: 0.0425 - mse: 36.9694 - val_loss: 0.0434 - val_mse: 37.8064
Epoch 241/1000
0s - loss: 0.0424 - mse: 36.8929 - val_loss: 0.0433 - val_mse: 37.7196
Epoch 242/1000
0s - loss: 0.0423 - mse: 36.8164 - val_loss: 0.0432 - val_mse: 37.6328
Epoch 243/1000
0s - loss: 0.0422 - mse: 36.7402 - val_loss: 0.0431 - val_mse: 37.5465
Epoch 244/1000
0s - loss: 0.0421 - mse: 36.6640 - val_loss: 0.0430 - val_mse: 37.4599
Epoch 245/1000
0s - loss: 0.0420 - mse: 36.5878 - val_loss: 0.0429 - val_mse: 37.3735
Epoch 246/1000
0s - loss: 0.0419 - mse: 36.5117 - val_loss: 0.0428 - val_mse: 37.2876
Epoch 247/1000
0s - loss: 0.0418 - mse: 36.4357 - val_loss: 0.0427 - val_mse: 37.2017
Epoch 248/1000
0s - loss: 0.0418 - mse: 36.3599 - val_loss: 0.0426 - val_mse: 37.1159
Epoch 249/1000
0s - loss: 0.0417 - mse: 36.2842 - val_loss: 0.0425 - val_mse: 37.0306
Epoch 250/1000
0s - loss: 0.0416 - mse: 36.2086 - val_loss: 0.0424 - val_mse: 36.9466
Epoch 251/1000
0s - loss: 0.0415 - mse: 36.1332 - val_loss: 0.0423 - val_mse: 36.8644
Epoch 252/1000
0s - loss: 0.0414 - mse: 36.0580 - val_loss: 0.0422 - val_mse: 36.7827
Epoch 253/1000
0s - loss: 0.0413 - mse: 35.9830 - val_loss: 0.0421 - val_mse: 36.7012
Epoch 254/1000
0s - loss: 0.0412 - mse: 35.9085 - val_loss: 0.0421 - val_mse: 36.6200
Epoch 255/1000
0s - loss: 0.0411 - mse: 35.8340 - val_loss: 0.0420 - val_mse: 36.5390
Epoch 256/1000
0s - loss: 0.0411 - mse: 35.7597 - val_loss: 0.0419 - val_mse: 36.4581
Epoch 257/1000
0s - loss: 0.0410 - mse: 35.6858 - val_loss: 0.0418 - val_mse: 36.3774
Epoch 258/1000
0s - loss: 0.0409 - mse: 35.6118 - val_loss: 0.0417 - val_mse: 36.2972
Epoch 259/1000
0s - loss: 0.0408 - mse: 35.5381 - val_loss: 0.0416 - val_mse: 36.2174
Epoch 260/1000
0s - loss: 0.0407 - mse: 35.4649 - val_loss: 0.0415 - val_mse: 36.1384
Epoch 261/1000
0s - loss: 0.0406 - mse: 35.3924 - val_loss: 0.0414 - val_mse: 36.0599
Epoch 262/1000
0s - loss: 0.0406 - mse: 35.3202 - val_loss: 0.0413 - val_mse: 35.9818
Epoch 263/1000
0s - loss: 0.0405 - mse: 35.2483 - val_loss: 0.0412 - val_mse: 35.9042
Epoch 264/1000
0s - loss: 0.0404 - mse: 35.1767 - val_loss: 0.0411 - val_mse: 35.8271
Epoch 265/1000
0s - loss: 0.0403 - mse: 35.1054 - val_loss: 0.0411 - val_mse: 35.7505
Epoch 266/1000
0s - loss: 0.0402 - mse: 35.0345 - val_loss: 0.0410 - val_mse: 35.6745
Epoch 267/1000
0s - loss: 0.0401 - mse: 34.9642 - val_loss: 0.0409 - val_mse: 35.5995
Epoch 268/1000
0s - loss: 0.0401 - mse: 34.8946 - val_loss: 0.0408 - val_mse: 35.5249
Epoch 269/1000
0s - loss: 0.0400 - mse: 34.8253 - val_loss: 0.0407 - val_mse: 35.4509
Epoch 270/1000
0s - loss: 0.0399 - mse: 34.7564 - val_loss: 0.0406 - val_mse: 35.3777
Epoch 271/1000
0s - loss: 0.0398 - mse: 34.6880 - val_loss: 0.0405 - val_mse: 35.3049
Epoch 272/1000
0s - loss: 0.0398 - mse: 34.6199 - val_loss: 0.0405 - val_mse: 35.2326
Epoch 273/1000
0s - loss: 0.0397 - mse: 34.5521 - val_loss: 0.0404 - val_mse: 35.1607
Epoch 274/1000
0s - loss: 0.0396 - mse: 34.4847 - val_loss: 0.0403 - val_mse: 35.0887
Epoch 275/1000
0s - loss: 0.0395 - mse: 34.4176 - val_loss: 0.0402 - val_mse: 35.0171
Epoch 276/1000
0s - loss: 0.0394 - mse: 34.3508 - val_loss: 0.0401 - val_mse: 34.9460
Epoch 277/1000
0s - loss: 0.0394 - mse: 34.2843 - val_loss: 0.0400 - val_mse: 34.8757
Epoch 278/1000
0s - loss: 0.0393 - mse: 34.2180 - val_loss: 0.0400 - val_mse: 34.8057
Epoch 279/1000
0s - loss: 0.0392 - mse: 34.1520 - val_loss: 0.0399 - val_mse: 34.7362
Epoch 280/1000
0s - loss: 0.0391 - mse: 34.0862 - val_loss: 0.0398 - val_mse: 34.6670
Epoch 281/1000
0s - loss: 0.0391 - mse: 34.0207 - val_loss: 0.0397 - val_mse: 34.5983
Epoch 282/1000
0s - loss: 0.0390 - mse: 33.9555 - val_loss: 0.0397 - val_mse: 34.5303
Epoch 283/1000
0s - loss: 0.0389 - mse: 33.8905 - val_loss: 0.0396 - val_mse: 34.4627
Epoch 284/1000
0s - loss: 0.0388 - mse: 33.8257 - val_loss: 0.0395 - val_mse: 34.3955
Epoch 285/1000
0s - loss: 0.0388 - mse: 33.7612 - val_loss: 0.0394 - val_mse: 34.3282
Epoch 286/1000
0s - loss: 0.0387 - mse: 33.6966 - val_loss: 0.0393 - val_mse: 34.2610
Epoch 287/1000
0s - loss: 0.0386 - mse: 33.6321 - val_loss: 0.0393 - val_mse: 34.1940
Epoch 288/1000
0s - loss: 0.0385 - mse: 33.5678 - val_loss: 0.0392 - val_mse: 34.1272
Epoch 289/1000
0s - loss: 0.0385 - mse: 33.5036 - val_loss: 0.0391 - val_mse: 34.0607
Epoch 290/1000
0s - loss: 0.0384 - mse: 33.4396 - val_loss: 0.0390 - val_mse: 33.9944
Epoch 291/1000
0s - loss: 0.0383 - mse: 33.3759 - val_loss: 0.0390 - val_mse: 33.9284
Epoch 292/1000
0s - loss: 0.0383 - mse: 33.3123 - val_loss: 0.0389 - val_mse: 33.8627
Epoch 293/1000
0s - loss: 0.0382 - mse: 33.2489 - val_loss: 0.0388 - val_mse: 33.7974
Epoch 294/1000
0s - loss: 0.0381 - mse: 33.1857 - val_loss: 0.0387 - val_mse: 33.7324
Epoch 295/1000
0s - loss: 0.0380 - mse: 33.1227 - val_loss: 0.0387 - val_mse: 33.6678
Epoch 296/1000
0s - loss: 0.0380 - mse: 33.0599 - val_loss: 0.0386 - val_mse: 33.6035
Epoch 297/1000
0s - loss: 0.0379 - mse: 32.9973 - val_loss: 0.0385 - val_mse: 33.5397
Epoch 298/1000
0s - loss: 0.0378 - mse: 32.9349 - val_loss: 0.0384 - val_mse: 33.4761
Epoch 299/1000
0s - loss: 0.0377 - mse: 32.8727 - val_loss: 0.0384 - val_mse: 33.4130
Epoch 300/1000
0s - loss: 0.0377 - mse: 32.8108 - val_loss: 0.0383 - val_mse: 33.3504
Epoch 301/1000
0s - loss: 0.0376 - mse: 32.7492 - val_loss: 0.0382 - val_mse: 33.2885
Epoch 302/1000
0s - loss: 0.0375 - mse: 32.6879 - val_loss: 0.0382 - val_mse: 33.2270
Epoch 303/1000
0s - loss: 0.0375 - mse: 32.6269 - val_loss: 0.0381 - val_mse: 33.1657
Epoch 304/1000
0s - loss: 0.0374 - mse: 32.5661 - val_loss: 0.0380 - val_mse: 33.1046
Epoch 305/1000
0s - loss: 0.0373 - mse: 32.5055 - val_loss: 0.0379 - val_mse: 33.0439
Epoch 306/1000
0s - loss: 0.0373 - mse: 32.4452 - val_loss: 0.0379 - val_mse: 32.9837
Epoch 307/1000
0s - loss: 0.0372 - mse: 32.3850 - val_loss: 0.0378 - val_mse: 32.9240
Epoch 308/1000
0s - loss: 0.0371 - mse: 32.3252 - val_loss: 0.0377 - val_mse: 32.8649
Epoch 309/1000
0s - loss: 0.0371 - mse: 32.2656 - val_loss: 0.0377 - val_mse: 32.8056
Epoch 310/1000
0s - loss: 0.0370 - mse: 32.2062 - val_loss: 0.0376 - val_mse: 32.7461
Epoch 311/1000
0s - loss: 0.0369 - mse: 32.1470 - val_loss: 0.0375 - val_mse: 32.6863
Epoch 312/1000
0s - loss: 0.0368 - mse: 32.0880 - val_loss: 0.0375 - val_mse: 32.6267
Epoch 313/1000
0s - loss: 0.0368 - mse: 32.0292 - val_loss: 0.0374 - val_mse: 32.5677
Epoch 314/1000
0s - loss: 0.0367 - mse: 31.9707 - val_loss: 0.0373 - val_mse: 32.5094
Epoch 315/1000
0s - loss: 0.0366 - mse: 31.9124 - val_loss: 0.0373 - val_mse: 32.4510
Epoch 316/1000
0s - loss: 0.0366 - mse: 31.8543 - val_loss: 0.0372 - val_mse: 32.3930
Epoch 317/1000
0s - loss: 0.0365 - mse: 31.7964 - val_loss: 0.0371 - val_mse: 32.3353
Epoch 318/1000
0s - loss: 0.0364 - mse: 31.7387 - val_loss: 0.0371 - val_mse: 32.2777
Epoch 319/1000
0s - loss: 0.0364 - mse: 31.6813 - val_loss: 0.0370 - val_mse: 32.2210
Epoch 320/1000
0s - loss: 0.0363 - mse: 31.6240 - val_loss: 0.0369 - val_mse: 32.1645
Epoch 321/1000
0s - loss: 0.0362 - mse: 31.5669 - val_loss: 0.0369 - val_mse: 32.1083
Epoch 322/1000
0s - loss: 0.0362 - mse: 31.5100 - val_loss: 0.0368 - val_mse: 32.0527
Epoch 323/1000
0s - loss: 0.0361 - mse: 31.4534 - val_loss: 0.0367 - val_mse: 31.9972
Epoch 324/1000
0s - loss: 0.0361 - mse: 31.3972 - val_loss: 0.0367 - val_mse: 31.9420
Epoch 325/1000
0s - loss: 0.0360 - mse: 31.3412 - val_loss: 0.0366 - val_mse: 31.8879
Epoch 326/1000
0s - loss: 0.0359 - mse: 31.2857 - val_loss: 0.0366 - val_mse: 31.8338
Epoch 327/1000
0s - loss: 0.0359 - mse: 31.2305 - val_loss: 0.0365 - val_mse: 31.7799
Epoch 328/1000
0s - loss: 0.0358 - mse: 31.1753 - val_loss: 0.0364 - val_mse: 31.7264
Epoch 329/1000
0s - loss: 0.0357 - mse: 31.1204 - val_loss: 0.0364 - val_mse: 31.6731
Epoch 330/1000
0s - loss: 0.0357 - mse: 31.0657 - val_loss: 0.0363 - val_mse: 31.6205
Epoch 331/1000
0s - loss: 0.0356 - mse: 31.0113 - val_loss: 0.0362 - val_mse: 31.5675
Epoch 332/1000
0s - loss: 0.0355 - mse: 30.9570 - val_loss: 0.0362 - val_mse: 31.5154
Epoch 333/1000
0s - loss: 0.0355 - mse: 30.9029 - val_loss: 0.0361 - val_mse: 31.4634
Epoch 334/1000
0s - loss: 0.0354 - mse: 30.8490 - val_loss: 0.0361 - val_mse: 31.4120
Epoch 335/1000
0s - loss: 0.0354 - mse: 30.7954 - val_loss: 0.0360 - val_mse: 31.3615
Epoch 336/1000
0s - loss: 0.0353 - mse: 30.7420 - val_loss: 0.0360 - val_mse: 31.3107
Epoch 337/1000
0s - loss: 0.0352 - mse: 30.6887 - val_loss: 0.0359 - val_mse: 31.2609
Epoch 338/1000
0s - loss: 0.0352 - mse: 30.6358 - val_loss: 0.0358 - val_mse: 31.2104
Epoch 339/1000
0s - loss: 0.0351 - mse: 30.5831 - val_loss: 0.0358 - val_mse: 31.1611
Epoch 340/1000
0s - loss: 0.0351 - mse: 30.5304 - val_loss: 0.0357 - val_mse: 31.1114
Epoch 341/1000
0s - loss: 0.0350 - mse: 30.4780 - val_loss: 0.0357 - val_mse: 31.0620
Epoch 342/1000
0s - loss: 0.0349 - mse: 30.4259 - val_loss: 0.0356 - val_mse: 31.0139
Epoch 343/1000
0s - loss: 0.0349 - mse: 30.3739 - val_loss: 0.0356 - val_mse: 30.9650
Epoch 344/1000
0s - loss: 0.0348 - mse: 30.3221 - val_loss: 0.0355 - val_mse: 30.9179
Epoch 345/1000
0s - loss: 0.0348 - mse: 30.2705 - val_loss: 0.0354 - val_mse: 30.8696
Epoch 346/1000
0s - loss: 0.0347 - mse: 30.2189 - val_loss: 0.0354 - val_mse: 30.8223
Epoch 347/1000
0s - loss: 0.0346 - mse: 30.1676 - val_loss: 0.0353 - val_mse: 30.7748
Epoch 348/1000
0s - loss: 0.0346 - mse: 30.1165 - val_loss: 0.0353 - val_mse: 30.7272
Epoch 349/1000
0s - loss: 0.0345 - mse: 30.0656 - val_loss: 0.0352 - val_mse: 30.6816
Epoch 350/1000
0s - loss: 0.0345 - mse: 30.0150 - val_loss: 0.0352 - val_mse: 30.6341
Epoch 351/1000
0s - loss: 0.0344 - mse: 29.9645 - val_loss: 0.0351 - val_mse: 30.5890
Epoch 352/1000
0s - loss: 0.0344 - mse: 29.9149 - val_loss: 0.0351 - val_mse: 30.5409
Epoch 353/1000
0s - loss: 0.0343 - mse: 29.8652 - val_loss: 0.0350 - val_mse: 30.4948
Epoch 354/1000
0s - loss: 0.0342 - mse: 29.8157 - val_loss: 0.0350 - val_mse: 30.4486
Epoch 355/1000
0s - loss: 0.0342 - mse: 29.7667 - val_loss: 0.0349 - val_mse: 30.4020
Epoch 356/1000
0s - loss: 0.0341 - mse: 29.7179 - val_loss: 0.0349 - val_mse: 30.3567
Epoch 357/1000
0s - loss: 0.0341 - mse: 29.6692 - val_loss: 0.0348 - val_mse: 30.3093
Epoch 358/1000
0s - loss: 0.0340 - mse: 29.6206 - val_loss: 0.0348 - val_mse: 30.2634
Epoch 359/1000
0s - loss: 0.0340 - mse: 29.5722 - val_loss: 0.0347 - val_mse: 30.2166
Epoch 360/1000
0s - loss: 0.0339 - mse: 29.5240 - val_loss: 0.0346 - val_mse: 30.1708
Epoch 361/1000
0s - loss: 0.0338 - mse: 29.4759 - val_loss: 0.0346 - val_mse: 30.1253
Epoch 362/1000
0s - loss: 0.0338 - mse: 29.4281 - val_loss: 0.0345 - val_mse: 30.0794
Epoch 363/1000
0s - loss: 0.0337 - mse: 29.3804 - val_loss: 0.0345 - val_mse: 30.0348
Epoch 364/1000
0s - loss: 0.0337 - mse: 29.3329 - val_loss: 0.0344 - val_mse: 29.9885
Epoch 365/1000
0s - loss: 0.0336 - mse: 29.2856 - val_loss: 0.0344 - val_mse: 29.9450
Epoch 366/1000
0s - loss: 0.0336 - mse: 29.2384 - val_loss: 0.0343 - val_mse: 29.8991
Epoch 367/1000
0s - loss: 0.0335 - mse: 29.1915 - val_loss: 0.0343 - val_mse: 29.8569
Epoch 368/1000
0s - loss: 0.0335 - mse: 29.1446 - val_loss: 0.0342 - val_mse: 29.8115
Epoch 369/1000
0s - loss: 0.0334 - mse: 29.0979 - val_loss: 0.0342 - val_mse: 29.7696
Epoch 370/1000
0s - loss: 0.0334 - mse: 29.0512 - val_loss: 0.0341 - val_mse: 29.7246
Epoch 371/1000
0s - loss: 0.0333 - mse: 29.0047 - val_loss: 0.0341 - val_mse: 29.6829
Epoch 372/1000
0s - loss: 0.0333 - mse: 28.9584 - val_loss: 0.0340 - val_mse: 29.6393
Epoch 373/1000
0s - loss: 0.0332 - mse: 28.9122 - val_loss: 0.0340 - val_mse: 29.5976
Epoch 374/1000
0s - loss: 0.0331 - mse: 28.8662 - val_loss: 0.0339 - val_mse: 29.5554
Epoch 375/1000
0s - loss: 0.0331 - mse: 28.8203 - val_loss: 0.0339 - val_mse: 29.5126
Epoch 376/1000
0s - loss: 0.0330 - mse: 28.7747 - val_loss: 0.0338 - val_mse: 29.4715
Epoch 377/1000
0s - loss: 0.0330 - mse: 28.7292 - val_loss: 0.0338 - val_mse: 29.4283
Epoch 378/1000
0s - loss: 0.0329 - mse: 28.6839 - val_loss: 0.0337 - val_mse: 29.3886
Epoch 379/1000
0s - loss: 0.0329 - mse: 28.6388 - val_loss: 0.0337 - val_mse: 29.3451
Epoch 380/1000
0s - loss: 0.0328 - mse: 28.5936 - val_loss: 0.0337 - val_mse: 29.3057
Epoch 381/1000
0s - loss: 0.0328 - mse: 28.5487 - val_loss: 0.0336 - val_mse: 29.2622
Epoch 382/1000
0s - loss: 0.0327 - mse: 28.5037 - val_loss: 0.0336 - val_mse: 29.2228
Epoch 383/1000
0s - loss: 0.0327 - mse: 28.4587 - val_loss: 0.0335 - val_mse: 29.1808
Epoch 384/1000
0s - loss: 0.0326 - mse: 28.4138 - val_loss: 0.0335 - val_mse: 29.1413
Epoch 385/1000
0s - loss: 0.0326 - mse: 28.3691 - val_loss: 0.0334 - val_mse: 29.1009
Epoch 386/1000
0s - loss: 0.0325 - mse: 28.3247 - val_loss: 0.0334 - val_mse: 29.0611
Epoch 387/1000
0s - loss: 0.0325 - mse: 28.2804 - val_loss: 0.0333 - val_mse: 29.0218
Epoch 388/1000
0s - loss: 0.0324 - mse: 28.2363 - val_loss: 0.0333 - val_mse: 28.9814
Epoch 389/1000
0s - loss: 0.0324 - mse: 28.1923 - val_loss: 0.0332 - val_mse: 28.9428
Epoch 390/1000
0s - loss: 0.0323 - mse: 28.1485 - val_loss: 0.0332 - val_mse: 28.9017
Epoch 391/1000
0s - loss: 0.0323 - mse: 28.1047 - val_loss: 0.0331 - val_mse: 28.8638
Epoch 392/1000
0s - loss: 0.0322 - mse: 28.0612 - val_loss: 0.0331 - val_mse: 28.8226
Epoch 393/1000
0s - loss: 0.0322 - mse: 28.0176 - val_loss: 0.0331 - val_mse: 28.7850
Epoch 394/1000
0s - loss: 0.0321 - mse: 27.9741 - val_loss: 0.0330 - val_mse: 28.7449
Epoch 395/1000
0s - loss: 0.0321 - mse: 27.9307 - val_loss: 0.0330 - val_mse: 28.7076
Epoch 396/1000
0s - loss: 0.0320 - mse: 27.8875 - val_loss: 0.0329 - val_mse: 28.6682
Epoch 397/1000
0s - loss: 0.0320 - mse: 27.8445 - val_loss: 0.0329 - val_mse: 28.6311
Epoch 398/1000
0s - loss: 0.0319 - mse: 27.8014 - val_loss: 0.0328 - val_mse: 28.5918
Epoch 399/1000
0s - loss: 0.0319 - mse: 27.7585 - val_loss: 0.0328 - val_mse: 28.5550
Epoch 400/1000
0s - loss: 0.0318 - mse: 27.7156 - val_loss: 0.0327 - val_mse: 28.5166
Epoch 401/1000
0s - loss: 0.0318 - mse: 27.6729 - val_loss: 0.0327 - val_mse: 28.4800
Epoch 402/1000
0s - loss: 0.0317 - mse: 27.6303 - val_loss: 0.0327 - val_mse: 28.4422
Epoch 403/1000
0s - loss: 0.0317 - mse: 27.5878 - val_loss: 0.0326 - val_mse: 28.4048
Epoch 404/1000
0s - loss: 0.0316 - mse: 27.5454 - val_loss: 0.0326 - val_mse: 28.3678
Epoch 405/1000
0s - loss: 0.0316 - mse: 27.5032 - val_loss: 0.0325 - val_mse: 28.3294
Epoch 406/1000
0s - loss: 0.0315 - mse: 27.4612 - val_loss: 0.0325 - val_mse: 28.2946
Epoch 407/1000
0s - loss: 0.0315 - mse: 27.4196 - val_loss: 0.0324 - val_mse: 28.2553
Epoch 408/1000
0s - loss: 0.0314 - mse: 27.3781 - val_loss: 0.0324 - val_mse: 28.2231
Epoch 409/1000
0s - loss: 0.0314 - mse: 27.3366 - val_loss: 0.0324 - val_mse: 28.1837
Epoch 410/1000
0s - loss: 0.0313 - mse: 27.2952 - val_loss: 0.0323 - val_mse: 28.1530
Epoch 411/1000
0s - loss: 0.0313 - mse: 27.2540 - val_loss: 0.0323 - val_mse: 28.1130
Epoch 412/1000
0s - loss: 0.0312 - mse: 27.2130 - val_loss: 0.0322 - val_mse: 28.0831
Epoch 413/1000
0s - loss: 0.0312 - mse: 27.1720 - val_loss: 0.0322 - val_mse: 28.0420
Epoch 414/1000
0s - loss: 0.0312 - mse: 27.1313 - val_loss: 0.0322 - val_mse: 28.0134
Epoch 415/1000
0s - loss: 0.0311 - mse: 27.0906 - val_loss: 0.0321 - val_mse: 27.9712
Epoch 416/1000
0s - loss: 0.0311 - mse: 27.0498 - val_loss: 0.0321 - val_mse: 27.9427
Epoch 417/1000
0s - loss: 0.0310 - mse: 27.0093 - val_loss: 0.0320 - val_mse: 27.8995
Epoch 418/1000
0s - loss: 0.0310 - mse: 26.9682 - val_loss: 0.0320 - val_mse: 27.8695
Epoch 419/1000
0s - loss: 0.0309 - mse: 26.9264 - val_loss: 0.0320 - val_mse: 27.8272
Epoch 420/1000
0s - loss: 0.0309 - mse: 26.8844 - val_loss: 0.0319 - val_mse: 27.7959
Epoch 421/1000
0s - loss: 0.0308 - mse: 26.8425 - val_loss: 0.0319 - val_mse: 27.7573
Epoch 422/1000
0s - loss: 0.0308 - mse: 26.8010 - val_loss: 0.0318 - val_mse: 27.7244
Epoch 423/1000
0s - loss: 0.0307 - mse: 26.7600 - val_loss: 0.0318 - val_mse: 27.6893
Epoch 424/1000
0s - loss: 0.0307 - mse: 26.7194 - val_loss: 0.0318 - val_mse: 27.6552
Epoch 425/1000
0s - loss: 0.0306 - mse: 26.6791 - val_loss: 0.0317 - val_mse: 27.6220
Epoch 426/1000
0s - loss: 0.0306 - mse: 26.6390 - val_loss: 0.0317 - val_mse: 27.5875
Epoch 427/1000
0s - loss: 0.0305 - mse: 26.5990 - val_loss: 0.0316 - val_mse: 27.5552
Epoch 428/1000
0s - loss: 0.0305 - mse: 26.5591 - val_loss: 0.0316 - val_mse: 27.5195
Epoch 429/1000
0s - loss: 0.0305 - mse: 26.5194 - val_loss: 0.0316 - val_mse: 27.4875
Epoch 430/1000
0s - loss: 0.0304 - mse: 26.4796 - val_loss: 0.0315 - val_mse: 27.4514
Epoch 431/1000
0s - loss: 0.0304 - mse: 26.4400 - val_loss: 0.0315 - val_mse: 27.4200
Epoch 432/1000
0s - loss: 0.0303 - mse: 26.4004 - val_loss: 0.0314 - val_mse: 27.3839
Epoch 433/1000
0s - loss: 0.0303 - mse: 26.3605 - val_loss: 0.0314 - val_mse: 27.3528
Epoch 434/1000
0s - loss: 0.0302 - mse: 26.3204 - val_loss: 0.0314 - val_mse: 27.3170
Epoch 435/1000
0s - loss: 0.0302 - mse: 26.2804 - val_loss: 0.0313 - val_mse: 27.2855
Epoch 436/1000
0s - loss: 0.0301 - mse: 26.2402 - val_loss: 0.0313 - val_mse: 27.2506
Epoch 437/1000
0s - loss: 0.0301 - mse: 26.2002 - val_loss: 0.0313 - val_mse: 27.2190
Epoch 438/1000
0s - loss: 0.0300 - mse: 26.1602 - val_loss: 0.0312 - val_mse: 27.1854
Epoch 439/1000
0s - loss: 0.0300 - mse: 26.1203 - val_loss: 0.0312 - val_mse: 27.1537
Epoch 440/1000
0s - loss: 0.0299 - mse: 26.0805 - val_loss: 0.0311 - val_mse: 27.1207
Epoch 441/1000
0s - loss: 0.0299 - mse: 26.0407 - val_loss: 0.0311 - val_mse: 27.0885
Epoch 442/1000
0s - loss: 0.0299 - mse: 26.0010 - val_loss: 0.0311 - val_mse: 27.0566
Epoch 443/1000
0s - loss: 0.0298 - mse: 25.9614 - val_loss: 0.0310 - val_mse: 27.0237
Epoch 444/1000
0s - loss: 0.0298 - mse: 25.9218 - val_loss: 0.0310 - val_mse: 26.9925
Epoch 445/1000
0s - loss: 0.0297 - mse: 25.8823 - val_loss: 0.0310 - val_mse: 26.9590
Epoch 446/1000
0s - loss: 0.0297 - mse: 25.8428 - val_loss: 0.0309 - val_mse: 26.9285
Epoch 447/1000
0s - loss: 0.0296 - mse: 25.8033 - val_loss: 0.0309 - val_mse: 26.8952
Epoch 448/1000
0s - loss: 0.0296 - mse: 25.7640 - val_loss: 0.0309 - val_mse: 26.8658
Epoch 449/1000
0s - loss: 0.0295 - mse: 25.7247 - val_loss: 0.0308 - val_mse: 26.8322
Epoch 450/1000
0s - loss: 0.0295 - mse: 25.6855 - val_loss: 0.0308 - val_mse: 26.8029
Epoch 451/1000
0s - loss: 0.0295 - mse: 25.6464 - val_loss: 0.0307 - val_mse: 26.7697
Epoch 452/1000
0s - loss: 0.0294 - mse: 25.6073 - val_loss: 0.0307 - val_mse: 26.7400
Epoch 453/1000
0s - loss: 0.0294 - mse: 25.5682 - val_loss: 0.0307 - val_mse: 26.7079
Epoch 454/1000
0s - loss: 0.0293 - mse: 25.5293 - val_loss: 0.0306 - val_mse: 26.6779
Epoch 455/1000
0s - loss: 0.0293 - mse: 25.4904 - val_loss: 0.0306 - val_mse: 26.6461
Epoch 456/1000
0s - loss: 0.0292 - mse: 25.4516 - val_loss: 0.0306 - val_mse: 26.6168
Epoch 457/1000
0s - loss: 0.0292 - mse: 25.4129 - val_loss: 0.0305 - val_mse: 26.5855
Epoch 458/1000
0s - loss: 0.0291 - mse: 25.3743 - val_loss: 0.0305 - val_mse: 26.5579
Epoch 459/1000
0s - loss: 0.0291 - mse: 25.3360 - val_loss: 0.0305 - val_mse: 26.5255
Epoch 460/1000
0s - loss: 0.0291 - mse: 25.2981 - val_loss: 0.0304 - val_mse: 26.4996
Epoch 461/1000
0s - loss: 0.0290 - mse: 25.2603 - val_loss: 0.0304 - val_mse: 26.4645
Epoch 462/1000
0s - loss: 0.0290 - mse: 25.2225 - val_loss: 0.0304 - val_mse: 26.4395
Epoch 463/1000
0s - loss: 0.0289 - mse: 25.1843 - val_loss: 0.0303 - val_mse: 26.4036
Epoch 464/1000
0s - loss: 0.0289 - mse: 25.1459 - val_loss: 0.0303 - val_mse: 26.3772
Epoch 465/1000
0s - loss: 0.0288 - mse: 25.1072 - val_loss: 0.0303 - val_mse: 26.3430
Epoch 466/1000
0s - loss: 0.0288 - mse: 25.0688 - val_loss: 0.0302 - val_mse: 26.3157
Epoch 467/1000
0s - loss: 0.0287 - mse: 25.0307 - val_loss: 0.0302 - val_mse: 26.2843
Epoch 468/1000
0s - loss: 0.0287 - mse: 24.9927 - val_loss: 0.0302 - val_mse: 26.2567
Epoch 469/1000
0s - loss: 0.0287 - mse: 24.9548 - val_loss: 0.0301 - val_mse: 26.2277
Epoch 470/1000
0s - loss: 0.0286 - mse: 24.9171 - val_loss: 0.0301 - val_mse: 26.1994
Epoch 471/1000
0s - loss: 0.0286 - mse: 24.8794 - val_loss: 0.0301 - val_mse: 26.1709
Epoch 472/1000
0s - loss: 0.0285 - mse: 24.8417 - val_loss: 0.0300 - val_mse: 26.1429
Epoch 473/1000
0s - loss: 0.0285 - mse: 24.8040 - val_loss: 0.0300 - val_mse: 26.1149
Epoch 474/1000
0s - loss: 0.0284 - mse: 24.7663 - val_loss: 0.0300 - val_mse: 26.0882
Epoch 475/1000
0s - loss: 0.0284 - mse: 24.7288 - val_loss: 0.0299 - val_mse: 26.0595
Epoch 476/1000
0s - loss: 0.0284 - mse: 24.6914 - val_loss: 0.0299 - val_mse: 26.0340
Epoch 477/1000
0s - loss: 0.0283 - mse: 24.6541 - val_loss: 0.0299 - val_mse: 26.0042
Epoch 478/1000
0s - loss: 0.0283 - mse: 24.6169 - val_loss: 0.0298 - val_mse: 25.9801
Epoch 479/1000
0s - loss: 0.0282 - mse: 24.5797 - val_loss: 0.0298 - val_mse: 25.9500
Epoch 480/1000
0s - loss: 0.0282 - mse: 24.5425 - val_loss: 0.0298 - val_mse: 25.9259
Epoch 481/1000
0s - loss: 0.0281 - mse: 24.5052 - val_loss: 0.0297 - val_mse: 25.8957
Epoch 482/1000
0s - loss: 0.0281 - mse: 24.4680 - val_loss: 0.0297 - val_mse: 25.8702
Epoch 483/1000
0s - loss: 0.0281 - mse: 24.4308 - val_loss: 0.0297 - val_mse: 25.8416
Epoch 484/1000
0s - loss: 0.0280 - mse: 24.3937 - val_loss: 0.0296 - val_mse: 25.8150
Epoch 485/1000
0s - loss: 0.0280 - mse: 24.3570 - val_loss: 0.0296 - val_mse: 25.7877
Epoch 486/1000
0s - loss: 0.0279 - mse: 24.3205 - val_loss: 0.0296 - val_mse: 25.7618
Epoch 487/1000
0s - loss: 0.0279 - mse: 24.2842 - val_loss: 0.0296 - val_mse: 25.7367
Epoch 488/1000
0s - loss: 0.0278 - mse: 24.2482 - val_loss: 0.0295 - val_mse: 25.7099
Epoch 489/1000
0s - loss: 0.0278 - mse: 24.2123 - val_loss: 0.0295 - val_mse: 25.6860
Epoch 490/1000
0s - loss: 0.0278 - mse: 24.1766 - val_loss: 0.0295 - val_mse: 25.6584
Epoch 491/1000
0s - loss: 0.0277 - mse: 24.1409 - val_loss: 0.0294 - val_mse: 25.6360
Epoch 492/1000
0s - loss: 0.0277 - mse: 24.1053 - val_loss: 0.0294 - val_mse: 25.6084
Epoch 493/1000
0s - loss: 0.0276 - mse: 24.0699 - val_loss: 0.0294 - val_mse: 25.5874
Epoch 494/1000
0s - loss: 0.0276 - mse: 24.0347 - val_loss: 0.0293 - val_mse: 25.5589
Epoch 495/1000
0s - loss: 0.0276 - mse: 23.9995 - val_loss: 0.0293 - val_mse: 25.5383
Epoch 496/1000
0s - loss: 0.0275 - mse: 23.9642 - val_loss: 0.0293 - val_mse: 25.5095
Epoch 497/1000
0s - loss: 0.0275 - mse: 23.9288 - val_loss: 0.0293 - val_mse: 25.4885
Epoch 498/1000
0s - loss: 0.0274 - mse: 23.8935 - val_loss: 0.0292 - val_mse: 25.4613
Epoch 499/1000
0s - loss: 0.0274 - mse: 23.8584 - val_loss: 0.0292 - val_mse: 25.4411
Epoch 500/1000
0s - loss: 0.0274 - mse: 23.8236 - val_loss: 0.0292 - val_mse: 25.4142
Epoch 501/1000
0s - loss: 0.0273 - mse: 23.7889 - val_loss: 0.0292 - val_mse: 25.3940
Epoch 502/1000
0s - loss: 0.0273 - mse: 23.7540 - val_loss: 0.0291 - val_mse: 25.3672
Epoch 503/1000
0s - loss: 0.0272 - mse: 23.7191 - val_loss: 0.0291 - val_mse: 25.3437
Epoch 504/1000
0s - loss: 0.0272 - mse: 23.6845 - val_loss: 0.0291 - val_mse: 25.3197
Epoch 505/1000
0s - loss: 0.0272 - mse: 23.6501 - val_loss: 0.0290 - val_mse: 25.2943
Epoch 506/1000
0s - loss: 0.0271 - mse: 23.6160 - val_loss: 0.0290 - val_mse: 25.2743
Epoch 507/1000
0s - loss: 0.0271 - mse: 23.5819 - val_loss: 0.0290 - val_mse: 25.2490
Epoch 508/1000
0s - loss: 0.0270 - mse: 23.5477 - val_loss: 0.0290 - val_mse: 25.2296
Epoch 509/1000
0s - loss: 0.0270 - mse: 23.5135 - val_loss: 0.0289 - val_mse: 25.2066
Epoch 510/1000
0s - loss: 0.0270 - mse: 23.4794 - val_loss: 0.0289 - val_mse: 25.1848
Epoch 511/1000
0s - loss: 0.0269 - mse: 23.4455 - val_loss: 0.0289 - val_mse: 25.1635
Epoch 512/1000
0s - loss: 0.0269 - mse: 23.4118 - val_loss: 0.0289 - val_mse: 25.1398
Epoch 513/1000
0s - loss: 0.0268 - mse: 23.3782 - val_loss: 0.0288 - val_mse: 25.1195
Epoch 514/1000
0s - loss: 0.0268 - mse: 23.3446 - val_loss: 0.0288 - val_mse: 25.0963
Epoch 515/1000
0s - loss: 0.0268 - mse: 23.3111 - val_loss: 0.0288 - val_mse: 25.0784
Epoch 516/1000
0s - loss: 0.0267 - mse: 23.2778 - val_loss: 0.0288 - val_mse: 25.0547
Epoch 517/1000
0s - loss: 0.0267 - mse: 23.2446 - val_loss: 0.0288 - val_mse: 25.0382
Epoch 518/1000
0s - loss: 0.0267 - mse: 23.2112 - val_loss: 0.0287 - val_mse: 25.0149
Epoch 519/1000
0s - loss: 0.0266 - mse: 23.1778 - val_loss: 0.0287 - val_mse: 24.9959
Epoch 520/1000
0s - loss: 0.0266 - mse: 23.1447 - val_loss: 0.0287 - val_mse: 24.9752
Epoch 521/1000
0s - loss: 0.0265 - mse: 23.1121 - val_loss: 0.0287 - val_mse: 24.9540
Epoch 522/1000
0s - loss: 0.0265 - mse: 23.0796 - val_loss: 0.0286 - val_mse: 24.9375
Epoch 523/1000
0s - loss: 0.0265 - mse: 23.0478 - val_loss: 0.0286 - val_mse: 24.9121
Epoch 524/1000
0s - loss: 0.0264 - mse: 23.0159 - val_loss: 0.0286 - val_mse: 24.8962
Epoch 525/1000
0s - loss: 0.0264 - mse: 22.9837 - val_loss: 0.0286 - val_mse: 24.8700
Epoch 526/1000
0s - loss: 0.0264 - mse: 22.9512 - val_loss: 0.0285 - val_mse: 24.8512
Epoch 527/1000
0s - loss: 0.0263 - mse: 22.9190 - val_loss: 0.0285 - val_mse: 24.8286
Epoch 528/1000
0s - loss: 0.0263 - mse: 22.8870 - val_loss: 0.0285 - val_mse: 24.8101
Epoch 529/1000
0s - loss: 0.0262 - mse: 22.8552 - val_loss: 0.0285 - val_mse: 24.7904
Epoch 530/1000
0s - loss: 0.0262 - mse: 22.8236 - val_loss: 0.0284 - val_mse: 24.7719
Epoch 531/1000
0s - loss: 0.0262 - mse: 22.7920 - val_loss: 0.0284 - val_mse: 24.7502
Epoch 532/1000
0s - loss: 0.0261 - mse: 22.7606 - val_loss: 0.0284 - val_mse: 24.7307
Epoch 533/1000
0s - loss: 0.0261 - mse: 22.7292 - val_loss: 0.0284 - val_mse: 24.7085
Epoch 534/1000
0s - loss: 0.0261 - mse: 22.6982 - val_loss: 0.0284 - val_mse: 24.6935
Epoch 535/1000
0s - loss: 0.0260 - mse: 22.6674 - val_loss: 0.0283 - val_mse: 24.6695
Epoch 536/1000
0s - loss: 0.0260 - mse: 22.6371 - val_loss: 0.0283 - val_mse: 24.6585
Epoch 537/1000
0s - loss: 0.0260 - mse: 22.6064 - val_loss: 0.0283 - val_mse: 24.6315
Epoch 538/1000
0s - loss: 0.0259 - mse: 22.5754 - val_loss: 0.0283 - val_mse: 24.6194
Epoch 539/1000
0s - loss: 0.0259 - mse: 22.5445 - val_loss: 0.0282 - val_mse: 24.5949
Epoch 540/1000
0s - loss: 0.0259 - mse: 22.5133 - val_loss: 0.0282 - val_mse: 24.5775
Epoch 541/1000
0s - loss: 0.0258 - mse: 22.4827 - val_loss: 0.0282 - val_mse: 24.5603
Epoch 542/1000
0s - loss: 0.0258 - mse: 22.4528 - val_loss: 0.0282 - val_mse: 24.5371
Epoch 543/1000
0s - loss: 0.0257 - mse: 22.4231 - val_loss: 0.0282 - val_mse: 24.5244
Epoch 544/1000
0s - loss: 0.0257 - mse: 22.3932 - val_loss: 0.0281 - val_mse: 24.5002
Epoch 545/1000
0s - loss: 0.0257 - mse: 22.3631 - val_loss: 0.0281 - val_mse: 24.4860
Epoch 546/1000
0s - loss: 0.0256 - mse: 22.3329 - val_loss: 0.0281 - val_mse: 24.4642
Epoch 547/1000
0s - loss: 0.0256 - mse: 22.3028 - val_loss: 0.0281 - val_mse: 24.4454
Epoch 548/1000
0s - loss: 0.0256 - mse: 22.2731 - val_loss: 0.0281 - val_mse: 24.4310
Epoch 549/1000
0s - loss: 0.0255 - mse: 22.2444 - val_loss: 0.0280 - val_mse: 24.4070
Epoch 550/1000
0s - loss: 0.0255 - mse: 22.2161 - val_loss: 0.0280 - val_mse: 24.4010
Epoch 551/1000
0s - loss: 0.0255 - mse: 22.1879 - val_loss: 0.0280 - val_mse: 24.3721
Epoch 552/1000
0s - loss: 0.0254 - mse: 22.1579 - val_loss: 0.0280 - val_mse: 24.3599
Epoch 553/1000
0s - loss: 0.0254 - mse: 22.1274 - val_loss: 0.0279 - val_mse: 24.3378
Epoch 554/1000
0s - loss: 0.0254 - mse: 22.0978 - val_loss: 0.0279 - val_mse: 24.3175
Epoch 555/1000
0s - loss: 0.0253 - mse: 22.0698 - val_loss: 0.0279 - val_mse: 24.3088
Epoch 556/1000
0s - loss: 0.0253 - mse: 22.0424 - val_loss: 0.0279 - val_mse: 24.2830
Epoch 557/1000
0s - loss: 0.0253 - mse: 22.0139 - val_loss: 0.0279 - val_mse: 24.2753
Epoch 558/1000
0s - loss: 0.0252 - mse: 21.9851 - val_loss: 0.0278 - val_mse: 24.2497
Epoch 559/1000

Epoch 00558: reducing learning rate to 0.00699999984354.
5s - loss: 0.0252 - mse: 21.9556 - val_loss: 0.0278 - val_mse: 24.2346
Epoch 560/1000
0s - loss: 0.0252 - mse: 21.9265 - val_loss: 0.0278 - val_mse: 24.2230
Epoch 561/1000
0s - loss: 0.0252 - mse: 21.9068 - val_loss: 0.0278 - val_mse: 24.2075
Epoch 562/1000
0s - loss: 0.0251 - mse: 21.8870 - val_loss: 0.0278 - val_mse: 24.1957
Epoch 563/1000
0s - loss: 0.0251 - mse: 21.8672 - val_loss: 0.0278 - val_mse: 24.1857
Epoch 564/1000
0s - loss: 0.0251 - mse: 21.8477 - val_loss: 0.0278 - val_mse: 24.1724
Epoch 565/1000
0s - loss: 0.0251 - mse: 21.8279 - val_loss: 0.0277 - val_mse: 24.1611
Epoch 566/1000
0s - loss: 0.0250 - mse: 21.8084 - val_loss: 0.0277 - val_mse: 24.1521
Epoch 567/1000
0s - loss: 0.0250 - mse: 21.7889 - val_loss: 0.0277 - val_mse: 24.1400
Epoch 568/1000
0s - loss: 0.0250 - mse: 21.7693 - val_loss: 0.0277 - val_mse: 24.1275
Epoch 569/1000
0s - loss: 0.0250 - mse: 21.7499 - val_loss: 0.0277 - val_mse: 24.1164
Epoch 570/1000
0s - loss: 0.0250 - mse: 21.7304 - val_loss: 0.0277 - val_mse: 24.1042
Epoch 571/1000
0s - loss: 0.0249 - mse: 21.7111 - val_loss: 0.0277 - val_mse: 24.0910
Epoch 572/1000
0s - loss: 0.0249 - mse: 21.6919 - val_loss: 0.0277 - val_mse: 24.0804
Epoch 573/1000

Epoch 00572: reducing learning rate to 0.00489999982528.
0s - loss: 0.0249 - mse: 21.6726 - val_loss: 0.0276 - val_mse: 24.0701
Epoch 574/1000
0s - loss: 0.0249 - mse: 21.6535 - val_loss: 0.0276 - val_mse: 24.0610
Epoch 575/1000
0s - loss: 0.0248 - mse: 21.6400 - val_loss: 0.0276 - val_mse: 24.0524
Epoch 576/1000
0s - loss: 0.0248 - mse: 21.6267 - val_loss: 0.0276 - val_mse: 24.0452
Epoch 577/1000
0s - loss: 0.0248 - mse: 21.6133 - val_loss: 0.0276 - val_mse: 24.0378
Epoch 578/1000
0s - loss: 0.0248 - mse: 21.5999 - val_loss: 0.0276 - val_mse: 24.0288
Epoch 579/1000
0s - loss: 0.0248 - mse: 21.5864 - val_loss: 0.0276 - val_mse: 24.0204
Epoch 580/1000
0s - loss: 0.0248 - mse: 21.5731 - val_loss: 0.0276 - val_mse: 24.0130
Epoch 581/1000
0s - loss: 0.0248 - mse: 21.5596 - val_loss: 0.0276 - val_mse: 24.0056
Epoch 582/1000
0s - loss: 0.0247 - mse: 21.5462 - val_loss: 0.0276 - val_mse: 23.9968
Epoch 583/1000
0s - loss: 0.0247 - mse: 21.5328 - val_loss: 0.0275 - val_mse: 23.9881
Epoch 584/1000
0s - loss: 0.0247 - mse: 21.5195 - val_loss: 0.0275 - val_mse: 23.9809
Epoch 585/1000
0s - loss: 0.0247 - mse: 21.5061 - val_loss: 0.0275 - val_mse: 23.9743
Epoch 586/1000
0s - loss: 0.0247 - mse: 21.4928 - val_loss: 0.0275 - val_mse: 23.9665
Epoch 587/1000

Epoch 00586: reducing learning rate to 0.00343000004068.
0s - loss: 0.0247 - mse: 21.4794 - val_loss: 0.0275 - val_mse: 23.9588
Epoch 588/1000
0s - loss: 0.0246 - mse: 21.4661 - val_loss: 0.0275 - val_mse: 23.9542
Epoch 589/1000
0s - loss: 0.0246 - mse: 21.4568 - val_loss: 0.0275 - val_mse: 23.9499
Epoch 590/1000
0s - loss: 0.0246 - mse: 21.4475 - val_loss: 0.0275 - val_mse: 23.9446
Epoch 591/1000
0s - loss: 0.0246 - mse: 21.4382 - val_loss: 0.0275 - val_mse: 23.9386
Epoch 592/1000
0s - loss: 0.0246 - mse: 21.4289 - val_loss: 0.0275 - val_mse: 23.9330
Epoch 593/1000
0s - loss: 0.0246 - mse: 21.4197 - val_loss: 0.0275 - val_mse: 23.9280
Epoch 594/1000
0s - loss: 0.0246 - mse: 21.4104 - val_loss: 0.0275 - val_mse: 23.9236
Epoch 595/1000
0s - loss: 0.0246 - mse: 21.4012 - val_loss: 0.0275 - val_mse: 23.9185
Epoch 596/1000
0s - loss: 0.0246 - mse: 21.3920 - val_loss: 0.0275 - val_mse: 23.9129
Epoch 597/1000
0s - loss: 0.0246 - mse: 21.3827 - val_loss: 0.0275 - val_mse: 23.9077
Epoch 598/1000
0s - loss: 0.0245 - mse: 21.3736 - val_loss: 0.0274 - val_mse: 23.9030
Epoch 599/1000
0s - loss: 0.0245 - mse: 21.3644 - val_loss: 0.0274 - val_mse: 23.8984
Epoch 600/1000
0s - loss: 0.0245 - mse: 21.3552 - val_loss: 0.0274 - val_mse: 23.8934
Epoch 601/1000

Epoch 00600: reducing learning rate to 0.00240100002848.
0s - loss: 0.0245 - mse: 21.3460 - val_loss: 0.0274 - val_mse: 23.8880
Epoch 602/1000
0s - loss: 0.0245 - mse: 21.3368 - val_loss: 0.0274 - val_mse: 23.8843
Epoch 603/1000
0s - loss: 0.0245 - mse: 21.3304 - val_loss: 0.0274 - val_mse: 23.8807
Epoch 604/1000
0s - loss: 0.0245 - mse: 21.3239 - val_loss: 0.0274 - val_mse: 23.8774
Epoch 605/1000
0s - loss: 0.0245 - mse: 21.3175 - val_loss: 0.0274 - val_mse: 23.8742
Epoch 606/1000
0s - loss: 0.0245 - mse: 21.3111 - val_loss: 0.0274 - val_mse: 23.8707
Epoch 607/1000
0s - loss: 0.0245 - mse: 21.3047 - val_loss: 0.0274 - val_mse: 23.8668
Epoch 608/1000
0s - loss: 0.0245 - mse: 21.2982 - val_loss: 0.0274 - val_mse: 23.8629
Epoch 609/1000
0s - loss: 0.0244 - mse: 21.2918 - val_loss: 0.0274 - val_mse: 23.8594
Epoch 610/1000
0s - loss: 0.0244 - mse: 21.2855 - val_loss: 0.0274 - val_mse: 23.8561
Epoch 611/1000
0s - loss: 0.0244 - mse: 21.2791 - val_loss: 0.0274 - val_mse: 23.8528
Epoch 612/1000
0s - loss: 0.0244 - mse: 21.2727 - val_loss: 0.0274 - val_mse: 23.8494
Epoch 613/1000
0s - loss: 0.0244 - mse: 21.2663 - val_loss: 0.0274 - val_mse: 23.8461
Epoch 614/1000
0s - loss: 0.0244 - mse: 21.2599 - val_loss: 0.0274 - val_mse: 23.8428
Epoch 615/1000

Epoch 00614: reducing learning rate to 0.00168070008513.
0s - loss: 0.0244 - mse: 21.2536 - val_loss: 0.0274 - val_mse: 23.8394
Epoch 616/1000
0s - loss: 0.0244 - mse: 21.2472 - val_loss: 0.0274 - val_mse: 23.8369
Epoch 617/1000
0s - loss: 0.0244 - mse: 21.2428 - val_loss: 0.0274 - val_mse: 23.8342
Epoch 618/1000
0s - loss: 0.0244 - mse: 21.2383 - val_loss: 0.0274 - val_mse: 23.8317
Epoch 619/1000
0s - loss: 0.0244 - mse: 21.2339 - val_loss: 0.0274 - val_mse: 23.8293
Epoch 620/1000
0s - loss: 0.0244 - mse: 21.2295 - val_loss: 0.0274 - val_mse: 23.8271
Epoch 621/1000
0s - loss: 0.0244 - mse: 21.2250 - val_loss: 0.0274 - val_mse: 23.8249
Epoch 622/1000
0s - loss: 0.0244 - mse: 21.2207 - val_loss: 0.0274 - val_mse: 23.8224
Epoch 623/1000
0s - loss: 0.0244 - mse: 21.2162 - val_loss: 0.0274 - val_mse: 23.8198
Epoch 624/1000
0s - loss: 0.0244 - mse: 21.2118 - val_loss: 0.0273 - val_mse: 23.8172
Epoch 625/1000
0s - loss: 0.0244 - mse: 21.2075 - val_loss: 0.0273 - val_mse: 23.8149
Epoch 626/1000
0s - loss: 0.0243 - mse: 21.2031 - val_loss: 0.0273 - val_mse: 23.8128
Epoch 627/1000
0s - loss: 0.0243 - mse: 21.1987 - val_loss: 0.0273 - val_mse: 23.8107
Epoch 628/1000
0s - loss: 0.0243 - mse: 21.1943 - val_loss: 0.0273 - val_mse: 23.8081
Epoch 629/1000

Epoch 00628: reducing learning rate to 0.00117649007589.
0s - loss: 0.0243 - mse: 21.1900 - val_loss: 0.0273 - val_mse: 23.8054
Epoch 630/1000
0s - loss: 0.0243 - mse: 21.1857 - val_loss: 0.0273 - val_mse: 23.8035
Epoch 631/1000
0s - loss: 0.0243 - mse: 21.1826 - val_loss: 0.0273 - val_mse: 23.8016
Epoch 632/1000
0s - loss: 0.0243 - mse: 21.1796 - val_loss: 0.0273 - val_mse: 23.7999
Epoch 633/1000
0s - loss: 0.0243 - mse: 21.1766 - val_loss: 0.0273 - val_mse: 23.7982
Epoch 634/1000
0s - loss: 0.0243 - mse: 21.1736 - val_loss: 0.0273 - val_mse: 23.7965
Epoch 635/1000
0s - loss: 0.0243 - mse: 21.1705 - val_loss: 0.0273 - val_mse: 23.7948
Epoch 636/1000
0s - loss: 0.0243 - mse: 21.1675 - val_loss: 0.0273 - val_mse: 23.7928
Epoch 637/1000
0s - loss: 0.0243 - mse: 21.1645 - val_loss: 0.0273 - val_mse: 23.7908
Epoch 638/1000
0s - loss: 0.0243 - mse: 21.1615 - val_loss: 0.0273 - val_mse: 23.7887
Epoch 639/1000
0s - loss: 0.0243 - mse: 21.1585 - val_loss: 0.0273 - val_mse: 23.7867
Epoch 640/1000
0s - loss: 0.0243 - mse: 21.1555 - val_loss: 0.0273 - val_mse: 23.7847
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_60 (LSTM)               (None, None, 110)         49720     
_________________________________________________________________
time_distributed_57 (TimeDis (None, None, 1)           111       
=================================================================
Total params: 49,831
Trainable params: 49,831
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.7365 - mse: 641.3654 - val_loss: 0.5433 - val_mse: 473.1311
Epoch 2/1000
0s - loss: 0.5076 - mse: 442.0287 - val_loss: 0.3253 - val_mse: 283.3094
Epoch 3/1000
0s - loss: 0.3100 - mse: 269.9839 - val_loss: 0.3372 - val_mse: 293.6357
Epoch 4/1000
0s - loss: 0.3307 - mse: 287.9990 - val_loss: 0.2563 - val_mse: 223.2028
Epoch 5/1000
0s - loss: 0.2490 - mse: 216.8209 - val_loss: 0.1950 - val_mse: 169.8398
Epoch 6/1000
0s - loss: 0.1880 - mse: 163.6879 - val_loss: 0.1962 - val_mse: 170.8252
Epoch 7/1000
0s - loss: 0.1822 - mse: 158.6581 - val_loss: 0.1334 - val_mse: 116.1705
Epoch 8/1000
0s - loss: 0.1234 - mse: 107.5031 - val_loss: 0.1279 - val_mse: 111.4091
Epoch 9/1000
0s - loss: 0.1186 - mse: 103.2709 - val_loss: 0.1259 - val_mse: 109.6017
Epoch 10/1000
0s - loss: 0.1161 - mse: 101.0995 - val_loss: 0.1218 - val_mse: 106.0683
Epoch 11/1000
0s - loss: 0.1114 - mse: 97.0205 - val_loss: 0.1206 - val_mse: 105.0086
Epoch 12/1000
0s - loss: 0.1086 - mse: 94.5747 - val_loss: 0.1240 - val_mse: 107.9594
Epoch 13/1000
0s - loss: 0.1084 - mse: 94.4353 - val_loss: 0.1293 - val_mse: 112.6279
Epoch 14/1000
0s - loss: 0.1089 - mse: 94.8657 - val_loss: 0.1305 - val_mse: 113.6810
Epoch 15/1000
0s - loss: 0.1072 - mse: 93.3968 - val_loss: 0.1231 - val_mse: 107.1900
Epoch 16/1000
0s - loss: 0.1011 - mse: 88.0818 - val_loss: 0.1120 - val_mse: 97.5286
Epoch 17/1000
0s - loss: 0.0940 - mse: 81.8917 - val_loss: 0.1037 - val_mse: 90.3205
Epoch 18/1000
0s - loss: 0.0898 - mse: 78.2228 - val_loss: 0.0988 - val_mse: 86.0671
Epoch 19/1000
0s - loss: 0.0880 - mse: 76.6174 - val_loss: 0.0949 - val_mse: 82.6390
Epoch 20/1000
0s - loss: 0.0861 - mse: 74.9839 - val_loss: 0.0903 - val_mse: 78.6506
Epoch 21/1000
0s - loss: 0.0829 - mse: 72.2169 - val_loss: 0.0856 - val_mse: 74.5602
Epoch 22/1000
0s - loss: 0.0792 - mse: 68.9555 - val_loss: 0.0825 - val_mse: 71.8667
Epoch 23/1000
0s - loss: 0.0767 - mse: 66.7866 - val_loss: 0.0813 - val_mse: 70.8222
Epoch 24/1000
0s - loss: 0.0759 - mse: 66.0786 - val_loss: 0.0794 - val_mse: 69.1466
Epoch 25/1000
0s - loss: 0.0743 - mse: 64.6916 - val_loss: 0.0752 - val_mse: 65.4767
Epoch 26/1000
0s - loss: 0.0703 - mse: 61.2402 - val_loss: 0.0711 - val_mse: 61.9030
Epoch 27/1000
0s - loss: 0.0662 - mse: 57.6762 - val_loss: 0.0691 - val_mse: 60.1905
Epoch 28/1000
0s - loss: 0.0641 - mse: 55.7917 - val_loss: 0.0678 - val_mse: 59.0485
Epoch 29/1000
0s - loss: 0.0626 - mse: 54.4860 - val_loss: 0.0650 - val_mse: 56.6461
Epoch 30/1000
0s - loss: 0.0598 - mse: 52.0894 - val_loss: 0.0617 - val_mse: 53.7389
Epoch 31/1000
0s - loss: 0.0567 - mse: 49.3956 - val_loss: 0.0598 - val_mse: 52.0420
Epoch 32/1000
0s - loss: 0.0551 - mse: 48.0220 - val_loss: 0.0589 - val_mse: 51.3275
Epoch 33/1000
0s - loss: 0.0546 - mse: 47.5853 - val_loss: 0.0580 - val_mse: 50.4715
Epoch 34/1000
0s - loss: 0.0538 - mse: 46.8308 - val_loss: 0.0564 - val_mse: 49.1349
Epoch 35/1000
0s - loss: 0.0520 - mse: 45.3101 - val_loss: 0.0555 - val_mse: 48.3306
Epoch 36/1000
0s - loss: 0.0508 - mse: 44.2279 - val_loss: 0.0550 - val_mse: 47.9048
Epoch 37/1000
0s - loss: 0.0499 - mse: 43.4897 - val_loss: 0.0540 - val_mse: 46.9914
Epoch 38/1000
0s - loss: 0.0484 - mse: 42.1874 - val_loss: 0.0528 - val_mse: 45.9668
Epoch 39/1000
0s - loss: 0.0469 - mse: 40.8260 - val_loss: 0.0519 - val_mse: 45.1971
Epoch 40/1000
0s - loss: 0.0458 - mse: 39.9137 - val_loss: 0.0510 - val_mse: 44.4149
Epoch 41/1000
0s - loss: 0.0450 - mse: 39.1533 - val_loss: 0.0499 - val_mse: 43.4321
Epoch 42/1000
0s - loss: 0.0439 - mse: 38.2560 - val_loss: 0.0487 - val_mse: 42.4127
Epoch 43/1000
0s - loss: 0.0428 - mse: 37.2568 - val_loss: 0.0480 - val_mse: 41.8263
Epoch 44/1000
0s - loss: 0.0421 - mse: 36.6301 - val_loss: 0.0472 - val_mse: 41.0743
Epoch 45/1000
0s - loss: 0.0411 - mse: 35.8268 - val_loss: 0.0461 - val_mse: 40.1102
Epoch 46/1000
0s - loss: 0.0400 - mse: 34.8181 - val_loss: 0.0450 - val_mse: 39.2305
Epoch 47/1000
0s - loss: 0.0390 - mse: 33.9583 - val_loss: 0.0439 - val_mse: 38.2322
Epoch 48/1000
0s - loss: 0.0381 - mse: 33.1657 - val_loss: 0.0424 - val_mse: 36.9566
Epoch 49/1000
0s - loss: 0.0370 - mse: 32.2604 - val_loss: 0.0410 - val_mse: 35.7440
Epoch 50/1000
0s - loss: 0.0361 - mse: 31.4664 - val_loss: 0.0400 - val_mse: 34.8749
Epoch 51/1000
0s - loss: 0.0356 - mse: 31.0273 - val_loss: 0.0389 - val_mse: 33.8808
Epoch 52/1000
0s - loss: 0.0350 - mse: 30.4437 - val_loss: 0.0378 - val_mse: 32.8784
Epoch 53/1000
0s - loss: 0.0342 - mse: 29.7405 - val_loss: 0.0370 - val_mse: 32.1870
Epoch 54/1000
0s - loss: 0.0335 - mse: 29.1440 - val_loss: 0.0363 - val_mse: 31.6354
Epoch 55/1000
0s - loss: 0.0328 - mse: 28.5638 - val_loss: 0.0356 - val_mse: 31.0248
Epoch 56/1000
0s - loss: 0.0321 - mse: 27.9945 - val_loss: 0.0349 - val_mse: 30.3883
Epoch 57/1000
0s - loss: 0.0316 - mse: 27.5032 - val_loss: 0.0342 - val_mse: 29.7685
Epoch 58/1000
0s - loss: 0.0311 - mse: 27.0527 - val_loss: 0.0335 - val_mse: 29.1712
Epoch 59/1000
0s - loss: 0.0305 - mse: 26.5461 - val_loss: 0.0330 - val_mse: 28.7483
Epoch 60/1000
0s - loss: 0.0300 - mse: 26.1310 - val_loss: 0.0324 - val_mse: 28.1859
Epoch 61/1000
0s - loss: 0.0294 - mse: 25.5753 - val_loss: 0.0318 - val_mse: 27.6567
Epoch 62/1000
0s - loss: 0.0287 - mse: 25.0081 - val_loss: 0.0313 - val_mse: 27.2769
Epoch 63/1000
0s - loss: 0.0282 - mse: 24.5711 - val_loss: 0.0307 - val_mse: 26.7406
Epoch 64/1000
0s - loss: 0.0277 - mse: 24.1176 - val_loss: 0.0300 - val_mse: 26.1021
Epoch 65/1000
0s - loss: 0.0272 - mse: 23.6764 - val_loss: 0.0294 - val_mse: 25.6054
Epoch 66/1000
0s - loss: 0.0268 - mse: 23.3132 - val_loss: 0.0289 - val_mse: 25.1763
Epoch 67/1000
0s - loss: 0.0263 - mse: 22.9108 - val_loss: 0.0285 - val_mse: 24.8253
Epoch 68/1000
0s - loss: 0.0259 - mse: 22.5391 - val_loss: 0.0282 - val_mse: 24.5369
Epoch 69/1000
0s - loss: 0.0255 - mse: 22.1889 - val_loss: 0.0279 - val_mse: 24.2848
Epoch 70/1000
0s - loss: 0.0251 - mse: 21.8324 - val_loss: 0.0277 - val_mse: 24.0966
Epoch 71/1000
0s - loss: 0.0248 - mse: 21.5723 - val_loss: 0.0274 - val_mse: 23.8369
Epoch 72/1000
0s - loss: 0.0244 - mse: 21.2812 - val_loss: 0.0271 - val_mse: 23.5572
Epoch 73/1000
0s - loss: 0.0241 - mse: 20.9686 - val_loss: 0.0266 - val_mse: 23.1994
Epoch 74/1000
0s - loss: 0.0237 - mse: 20.6677 - val_loss: 0.0262 - val_mse: 22.7954
Epoch 75/1000
0s - loss: 0.0234 - mse: 20.3479 - val_loss: 0.0257 - val_mse: 22.4179
Epoch 76/1000
0s - loss: 0.0230 - mse: 20.0659 - val_loss: 0.0254 - val_mse: 22.0775
Epoch 77/1000
0s - loss: 0.0227 - mse: 19.7711 - val_loss: 0.0250 - val_mse: 21.7585
Epoch 78/1000
0s - loss: 0.0224 - mse: 19.4797 - val_loss: 0.0245 - val_mse: 21.3785
Epoch 79/1000
0s - loss: 0.0220 - mse: 19.1829 - val_loss: 0.0241 - val_mse: 20.9994
Epoch 80/1000
0s - loss: 0.0217 - mse: 18.8851 - val_loss: 0.0237 - val_mse: 20.6710
Epoch 81/1000
0s - loss: 0.0214 - mse: 18.6010 - val_loss: 0.0234 - val_mse: 20.4104
Epoch 82/1000
0s - loss: 0.0210 - mse: 18.3093 - val_loss: 0.0232 - val_mse: 20.1723
Epoch 83/1000
0s - loss: 0.0207 - mse: 18.0418 - val_loss: 0.0229 - val_mse: 19.8996
Epoch 84/1000
0s - loss: 0.0204 - mse: 17.7677 - val_loss: 0.0225 - val_mse: 19.6029
Epoch 85/1000
0s - loss: 0.0201 - mse: 17.4860 - val_loss: 0.0222 - val_mse: 19.3422
Epoch 86/1000
0s - loss: 0.0198 - mse: 17.2067 - val_loss: 0.0220 - val_mse: 19.1258
Epoch 87/1000
0s - loss: 0.0195 - mse: 16.9587 - val_loss: 0.0218 - val_mse: 18.9657
Epoch 88/1000
0s - loss: 0.0193 - mse: 16.8198 - val_loss: 0.0222 - val_mse: 19.3374
Epoch 89/1000
0s - loss: 0.0199 - mse: 17.3064 - val_loss: 0.0260 - val_mse: 22.6555
Epoch 90/1000
0s - loss: 0.0241 - mse: 20.9555 - val_loss: 0.0233 - val_mse: 20.2515
Epoch 91/1000
0s - loss: 0.0212 - mse: 18.4631 - val_loss: 0.0210 - val_mse: 18.2627
Epoch 92/1000
0s - loss: 0.0186 - mse: 16.2009 - val_loss: 0.0218 - val_mse: 19.0085
Epoch 93/1000
0s - loss: 0.0195 - mse: 16.9511 - val_loss: 0.0209 - val_mse: 18.1994
Epoch 94/1000
0s - loss: 0.0184 - mse: 16.0202 - val_loss: 0.0208 - val_mse: 18.1529
Epoch 95/1000
0s - loss: 0.0181 - mse: 15.7509 - val_loss: 0.0214 - val_mse: 18.6240
Epoch 96/1000
0s - loss: 0.0184 - mse: 15.9989 - val_loss: 0.0202 - val_mse: 17.6017
Epoch 97/1000
0s - loss: 0.0173 - mse: 15.0260 - val_loss: 0.0205 - val_mse: 17.8475
Epoch 98/1000
0s - loss: 0.0179 - mse: 15.6262 - val_loss: 0.0196 - val_mse: 17.0812
Epoch 99/1000
0s - loss: 0.0172 - mse: 14.9350 - val_loss: 0.0191 - val_mse: 16.6677
Epoch 100/1000
0s - loss: 0.0168 - mse: 14.6084 - val_loss: 0.0194 - val_mse: 16.9163
Epoch 101/1000
0s - loss: 0.0172 - mse: 14.9420 - val_loss: 0.0185 - val_mse: 16.0987
Epoch 102/1000
0s - loss: 0.0160 - mse: 13.9491 - val_loss: 0.0188 - val_mse: 16.3833
Epoch 103/1000
0s - loss: 0.0162 - mse: 14.1353 - val_loss: 0.0186 - val_mse: 16.2201
Epoch 104/1000
0s - loss: 0.0159 - mse: 13.8416 - val_loss: 0.0182 - val_mse: 15.8200
Epoch 105/1000
0s - loss: 0.0153 - mse: 13.2938 - val_loss: 0.0183 - val_mse: 15.8939
Epoch 106/1000
0s - loss: 0.0153 - mse: 13.3532 - val_loss: 0.0178 - val_mse: 15.4781
Epoch 107/1000
0s - loss: 0.0149 - mse: 12.9795 - val_loss: 0.0174 - val_mse: 15.1873
Epoch 108/1000
0s - loss: 0.0146 - mse: 12.7301 - val_loss: 0.0175 - val_mse: 15.2133
Epoch 109/1000
0s - loss: 0.0146 - mse: 12.7158 - val_loss: 0.0171 - val_mse: 14.9243
Epoch 110/1000
0s - loss: 0.0142 - mse: 12.3565 - val_loss: 0.0169 - val_mse: 14.7035
Epoch 111/1000
0s - loss: 0.0139 - mse: 12.1089 - val_loss: 0.0167 - val_mse: 14.5662
Epoch 112/1000
0s - loss: 0.0138 - mse: 12.0523 - val_loss: 0.0163 - val_mse: 14.2321
Epoch 113/1000
0s - loss: 0.0136 - mse: 11.8452 - val_loss: 0.0161 - val_mse: 13.9820
Epoch 114/1000
0s - loss: 0.0133 - mse: 11.5560 - val_loss: 0.0158 - val_mse: 13.7706
Epoch 115/1000
0s - loss: 0.0130 - mse: 11.3283 - val_loss: 0.0156 - val_mse: 13.6077
Epoch 116/1000
0s - loss: 0.0129 - mse: 11.2063 - val_loss: 0.0157 - val_mse: 13.6795
Epoch 117/1000
0s - loss: 0.0129 - mse: 11.1911 - val_loss: 0.0157 - val_mse: 13.6498
Epoch 118/1000
0s - loss: 0.0127 - mse: 11.0917 - val_loss: 0.0156 - val_mse: 13.6027
Epoch 119/1000
0s - loss: 0.0127 - mse: 11.0301 - val_loss: 0.0152 - val_mse: 13.2769
Epoch 120/1000
0s - loss: 0.0124 - mse: 10.8003 - val_loss: 0.0152 - val_mse: 13.1986
Epoch 121/1000
0s - loss: 0.0121 - mse: 10.5594 - val_loss: 0.0150 - val_mse: 13.0468
Epoch 122/1000
0s - loss: 0.0118 - mse: 10.2495 - val_loss: 0.0147 - val_mse: 12.8411
Epoch 123/1000
0s - loss: 0.0115 - mse: 10.0305 - val_loss: 0.0146 - val_mse: 12.6915
Epoch 124/1000
0s - loss: 0.0113 - mse: 9.8264 - val_loss: 0.0145 - val_mse: 12.6111
Epoch 125/1000
0s - loss: 0.0111 - mse: 9.6916 - val_loss: 0.0145 - val_mse: 12.5920
Epoch 126/1000
0s - loss: 0.0111 - mse: 9.6475 - val_loss: 0.0146 - val_mse: 12.7441
Epoch 127/1000
0s - loss: 0.0113 - mse: 9.8220 - val_loss: 0.0154 - val_mse: 13.3963
Epoch 128/1000
0s - loss: 0.0120 - mse: 10.4435 - val_loss: 0.0182 - val_mse: 15.8225
Epoch 129/1000
0s - loss: 0.0151 - mse: 13.1617 - val_loss: 0.0173 - val_mse: 15.0691
Epoch 130/1000

Epoch 00129: reducing learning rate to 0.00699999984354.
4s - loss: 0.0139 - mse: 12.1237 - val_loss: 0.0148 - val_mse: 12.8634
Epoch 131/1000
0s - loss: 0.0115 - mse: 9.9824 - val_loss: 0.0140 - val_mse: 12.1651
Epoch 132/1000
0s - loss: 0.0107 - mse: 9.3494 - val_loss: 0.0143 - val_mse: 12.4962
Epoch 133/1000
0s - loss: 0.0110 - mse: 9.5951 - val_loss: 0.0140 - val_mse: 12.2213
Epoch 134/1000
0s - loss: 0.0102 - mse: 8.9160 - val_loss: 0.0144 - val_mse: 12.5268
Epoch 135/1000
0s - loss: 0.0106 - mse: 9.2471 - val_loss: 0.0136 - val_mse: 11.8413
Epoch 136/1000
0s - loss: 0.0100 - mse: 8.6966 - val_loss: 0.0138 - val_mse: 12.0307
Epoch 137/1000
0s - loss: 0.0103 - mse: 8.9633 - val_loss: 0.0135 - val_mse: 11.7276
Epoch 138/1000
0s - loss: 0.0097 - mse: 8.4136 - val_loss: 0.0138 - val_mse: 11.9848
Epoch 139/1000
0s - loss: 0.0100 - mse: 8.6920 - val_loss: 0.0130 - val_mse: 11.3191
Epoch 140/1000
0s - loss: 0.0094 - mse: 8.1902 - val_loss: 0.0131 - val_mse: 11.3899
Epoch 141/1000
0s - loss: 0.0097 - mse: 8.4064 - val_loss: 0.0128 - val_mse: 11.1504
Epoch 142/1000
0s - loss: 0.0092 - mse: 7.9772 - val_loss: 0.0132 - val_mse: 11.4601
Epoch 143/1000
0s - loss: 0.0094 - mse: 8.1667 - val_loss: 0.0126 - val_mse: 10.9900
Epoch 144/1000
0s - loss: 0.0090 - mse: 7.7954 - val_loss: 0.0126 - val_mse: 10.9458
Epoch 145/1000
0s - loss: 0.0091 - mse: 7.9604 - val_loss: 0.0123 - val_mse: 10.7397
Epoch 146/1000
0s - loss: 0.0088 - mse: 7.6266 - val_loss: 0.0127 - val_mse: 11.0168
Epoch 147/1000
0s - loss: 0.0089 - mse: 7.7408 - val_loss: 0.0123 - val_mse: 10.7041
Epoch 148/1000
0s - loss: 0.0085 - mse: 7.4341 - val_loss: 0.0122 - val_mse: 10.6509
Epoch 149/1000
0s - loss: 0.0087 - mse: 7.5558 - val_loss: 0.0120 - val_mse: 10.4137
Epoch 150/1000
0s - loss: 0.0083 - mse: 7.2610 - val_loss: 0.0121 - val_mse: 10.5730
Epoch 151/1000
0s - loss: 0.0084 - mse: 7.3489 - val_loss: 0.0119 - val_mse: 10.3215
Epoch 152/1000
0s - loss: 0.0082 - mse: 7.1218 - val_loss: 0.0118 - val_mse: 10.2560
Epoch 153/1000
0s - loss: 0.0082 - mse: 7.1410 - val_loss: 0.0117 - val_mse: 10.1862
Epoch 154/1000
0s - loss: 0.0080 - mse: 6.9881 - val_loss: 0.0117 - val_mse: 10.2125
Epoch 155/1000
0s - loss: 0.0080 - mse: 6.9281 - val_loss: 0.0116 - val_mse: 10.1280
Epoch 156/1000
0s - loss: 0.0079 - mse: 6.8734 - val_loss: 0.0115 - val_mse: 9.9844
Epoch 157/1000
0s - loss: 0.0077 - mse: 6.7393 - val_loss: 0.0115 - val_mse: 10.0384
Epoch 158/1000
0s - loss: 0.0077 - mse: 6.7407 - val_loss: 0.0114 - val_mse: 9.9313
Epoch 159/1000
0s - loss: 0.0076 - mse: 6.5891 - val_loss: 0.0114 - val_mse: 9.9022
Epoch 160/1000
0s - loss: 0.0076 - mse: 6.5848 - val_loss: 0.0113 - val_mse: 9.7975
Epoch 161/1000
0s - loss: 0.0074 - mse: 6.4820 - val_loss: 0.0112 - val_mse: 9.7274
Epoch 162/1000
0s - loss: 0.0074 - mse: 6.4084 - val_loss: 0.0112 - val_mse: 9.7271
Epoch 163/1000
0s - loss: 0.0073 - mse: 6.3886 - val_loss: 0.0111 - val_mse: 9.6474
Epoch 164/1000
0s - loss: 0.0072 - mse: 6.2669 - val_loss: 0.0110 - val_mse: 9.5518
Epoch 165/1000
0s - loss: 0.0072 - mse: 6.2301 - val_loss: 0.0109 - val_mse: 9.4591
Epoch 166/1000
0s - loss: 0.0071 - mse: 6.1712 - val_loss: 0.0109 - val_mse: 9.4519
Epoch 167/1000
0s - loss: 0.0070 - mse: 6.0772 - val_loss: 0.0108 - val_mse: 9.3979
Epoch 168/1000
0s - loss: 0.0069 - mse: 6.0468 - val_loss: 0.0106 - val_mse: 9.2473
Epoch 169/1000
0s - loss: 0.0069 - mse: 5.9811 - val_loss: 0.0106 - val_mse: 9.2279
Epoch 170/1000
0s - loss: 0.0068 - mse: 5.8993 - val_loss: 0.0106 - val_mse: 9.1980
Epoch 171/1000
0s - loss: 0.0067 - mse: 5.8667 - val_loss: 0.0104 - val_mse: 9.0472
Epoch 172/1000
0s - loss: 0.0067 - mse: 5.8044 - val_loss: 0.0104 - val_mse: 9.0594
Epoch 173/1000
0s - loss: 0.0066 - mse: 5.7301 - val_loss: 0.0104 - val_mse: 9.0761
Epoch 174/1000
0s - loss: 0.0065 - mse: 5.6928 - val_loss: 0.0102 - val_mse: 8.9236
Epoch 175/1000
0s - loss: 0.0065 - mse: 5.6395 - val_loss: 0.0102 - val_mse: 8.8974
Epoch 176/1000
0s - loss: 0.0064 - mse: 5.5704 - val_loss: 0.0102 - val_mse: 8.8839
Epoch 177/1000
0s - loss: 0.0063 - mse: 5.5238 - val_loss: 0.0101 - val_mse: 8.7632
Epoch 178/1000
0s - loss: 0.0063 - mse: 5.4801 - val_loss: 0.0100 - val_mse: 8.7485
Epoch 179/1000
0s - loss: 0.0062 - mse: 5.4229 - val_loss: 0.0100 - val_mse: 8.7278
Epoch 180/1000
0s - loss: 0.0062 - mse: 5.3674 - val_loss: 0.0099 - val_mse: 8.6566
Epoch 181/1000
0s - loss: 0.0061 - mse: 5.3222 - val_loss: 0.0099 - val_mse: 8.6627
Epoch 182/1000
0s - loss: 0.0061 - mse: 5.2792 - val_loss: 0.0099 - val_mse: 8.6197
Epoch 183/1000
0s - loss: 0.0060 - mse: 5.2256 - val_loss: 0.0098 - val_mse: 8.5595
Epoch 184/1000
0s - loss: 0.0059 - mse: 5.1738 - val_loss: 0.0098 - val_mse: 8.5182
Epoch 185/1000
0s - loss: 0.0059 - mse: 5.1306 - val_loss: 0.0097 - val_mse: 8.4782
Epoch 186/1000
0s - loss: 0.0058 - mse: 5.0873 - val_loss: 0.0097 - val_mse: 8.4447
Epoch 187/1000
0s - loss: 0.0058 - mse: 5.0380 - val_loss: 0.0096 - val_mse: 8.3766
Epoch 188/1000
0s - loss: 0.0057 - mse: 4.9894 - val_loss: 0.0096 - val_mse: 8.3692
Epoch 189/1000
0s - loss: 0.0057 - mse: 4.9442 - val_loss: 0.0096 - val_mse: 8.3492
Epoch 190/1000
0s - loss: 0.0056 - mse: 4.9003 - val_loss: 0.0095 - val_mse: 8.2858
Epoch 191/1000
0s - loss: 0.0056 - mse: 4.8574 - val_loss: 0.0095 - val_mse: 8.3012
Epoch 192/1000
0s - loss: 0.0055 - mse: 4.8126 - val_loss: 0.0095 - val_mse: 8.2499
Epoch 193/1000
0s - loss: 0.0055 - mse: 4.7693 - val_loss: 0.0095 - val_mse: 8.2384
Epoch 194/1000
0s - loss: 0.0054 - mse: 4.7257 - val_loss: 0.0094 - val_mse: 8.2175
Epoch 195/1000
0s - loss: 0.0054 - mse: 4.6846 - val_loss: 0.0094 - val_mse: 8.1571
Epoch 196/1000
0s - loss: 0.0053 - mse: 4.6434 - val_loss: 0.0093 - val_mse: 8.1397
Epoch 197/1000
0s - loss: 0.0053 - mse: 4.6038 - val_loss: 0.0093 - val_mse: 8.1147
Epoch 198/1000
0s - loss: 0.0052 - mse: 4.5643 - val_loss: 0.0093 - val_mse: 8.1122
Epoch 199/1000
0s - loss: 0.0052 - mse: 4.5254 - val_loss: 0.0093 - val_mse: 8.0903
Epoch 200/1000

Epoch 00199: reducing learning rate to 0.00489999982528.
0s - loss: 0.0052 - mse: 4.4870 - val_loss: 0.0093 - val_mse: 8.0899
Epoch 201/1000
0s - loss: 0.0051 - mse: 4.4484 - val_loss: 0.0093 - val_mse: 8.0564
Epoch 202/1000
0s - loss: 0.0051 - mse: 4.4210 - val_loss: 0.0092 - val_mse: 8.0351
Epoch 203/1000
0s - loss: 0.0050 - mse: 4.3948 - val_loss: 0.0092 - val_mse: 8.0440
Epoch 204/1000
0s - loss: 0.0050 - mse: 4.3697 - val_loss: 0.0092 - val_mse: 8.0341
Epoch 205/1000
0s - loss: 0.0050 - mse: 4.3430 - val_loss: 0.0092 - val_mse: 8.0140
Epoch 206/1000
0s - loss: 0.0050 - mse: 4.3177 - val_loss: 0.0092 - val_mse: 8.0377
Epoch 207/1000
0s - loss: 0.0049 - mse: 4.2923 - val_loss: 0.0092 - val_mse: 8.0199
Epoch 208/1000
0s - loss: 0.0049 - mse: 4.2663 - val_loss: 0.0092 - val_mse: 7.9955
Epoch 209/1000
0s - loss: 0.0049 - mse: 4.2416 - val_loss: 0.0092 - val_mse: 7.9940
Epoch 210/1000
0s - loss: 0.0048 - mse: 4.2164 - val_loss: 0.0092 - val_mse: 7.9685
Epoch 211/1000
0s - loss: 0.0048 - mse: 4.1912 - val_loss: 0.0091 - val_mse: 7.9531
Epoch 212/1000
0s - loss: 0.0048 - mse: 4.1672 - val_loss: 0.0092 - val_mse: 7.9687
Epoch 213/1000
0s - loss: 0.0048 - mse: 4.1431 - val_loss: 0.0091 - val_mse: 7.9550
Epoch 214/1000
0s - loss: 0.0047 - mse: 4.1189 - val_loss: 0.0091 - val_mse: 7.9476
Epoch 215/1000

Epoch 00214: reducing learning rate to 0.00343000004068.
0s - loss: 0.0047 - mse: 4.0958 - val_loss: 0.0091 - val_mse: 7.9458
Epoch 216/1000
0s - loss: 0.0047 - mse: 4.0729 - val_loss: 0.0091 - val_mse: 7.9240
Epoch 217/1000
0s - loss: 0.0047 - mse: 4.0561 - val_loss: 0.0091 - val_mse: 7.9106
Epoch 218/1000
0s - loss: 0.0046 - mse: 4.0407 - val_loss: 0.0091 - val_mse: 7.9186
Epoch 219/1000
0s - loss: 0.0046 - mse: 4.0245 - val_loss: 0.0091 - val_mse: 7.9190
Epoch 220/1000
0s - loss: 0.0046 - mse: 4.0092 - val_loss: 0.0091 - val_mse: 7.9056
Epoch 221/1000
0s - loss: 0.0046 - mse: 3.9934 - val_loss: 0.0091 - val_mse: 7.8973
Epoch 222/1000
0s - loss: 0.0046 - mse: 3.9783 - val_loss: 0.0091 - val_mse: 7.9039
Epoch 223/1000
0s - loss: 0.0046 - mse: 3.9629 - val_loss: 0.0091 - val_mse: 7.8987
Epoch 224/1000
0s - loss: 0.0045 - mse: 3.9473 - val_loss: 0.0091 - val_mse: 7.8880
Epoch 225/1000
0s - loss: 0.0045 - mse: 3.9324 - val_loss: 0.0091 - val_mse: 7.8869
Epoch 226/1000
0s - loss: 0.0045 - mse: 3.9172 - val_loss: 0.0091 - val_mse: 7.8972
Epoch 227/1000
0s - loss: 0.0045 - mse: 3.9022 - val_loss: 0.0091 - val_mse: 7.8902
Epoch 228/1000
0s - loss: 0.0045 - mse: 3.8872 - val_loss: 0.0090 - val_mse: 7.8752
Epoch 229/1000
0s - loss: 0.0044 - mse: 3.8725 - val_loss: 0.0090 - val_mse: 7.8779
Epoch 230/1000
0s - loss: 0.0044 - mse: 3.8572 - val_loss: 0.0091 - val_mse: 7.8883
Epoch 231/1000
0s - loss: 0.0044 - mse: 3.8428 - val_loss: 0.0090 - val_mse: 7.8800
Epoch 232/1000
0s - loss: 0.0044 - mse: 3.8278 - val_loss: 0.0090 - val_mse: 7.8731
Epoch 233/1000

Epoch 00232: reducing learning rate to 0.00240100002848.
0s - loss: 0.0044 - mse: 3.8132 - val_loss: 0.0091 - val_mse: 7.8874
Epoch 234/1000
0s - loss: 0.0044 - mse: 3.7987 - val_loss: 0.0091 - val_mse: 7.8827
Epoch 235/1000
0s - loss: 0.0044 - mse: 3.7882 - val_loss: 0.0090 - val_mse: 7.8712
Epoch 236/1000
0s - loss: 0.0043 - mse: 3.7781 - val_loss: 0.0090 - val_mse: 7.8739
Epoch 237/1000
0s - loss: 0.0043 - mse: 3.7679 - val_loss: 0.0091 - val_mse: 7.8835
Epoch 238/1000
0s - loss: 0.0043 - mse: 3.7578 - val_loss: 0.0091 - val_mse: 7.8839
Epoch 239/1000
0s - loss: 0.0043 - mse: 3.7477 - val_loss: 0.0090 - val_mse: 7.8807
Epoch 240/1000
0s - loss: 0.0043 - mse: 3.7377 - val_loss: 0.0090 - val_mse: 7.8757
Epoch 241/1000
0s - loss: 0.0043 - mse: 3.7277 - val_loss: 0.0090 - val_mse: 7.8727
Epoch 242/1000
0s - loss: 0.0043 - mse: 3.7177 - val_loss: 0.0090 - val_mse: 7.8759
Epoch 243/1000
0s - loss: 0.0043 - mse: 3.7077 - val_loss: 0.0090 - val_mse: 7.8799
Epoch 244/1000
0s - loss: 0.0042 - mse: 3.6978 - val_loss: 0.0090 - val_mse: 7.8791
Epoch 245/1000
0s - loss: 0.0042 - mse: 3.6879 - val_loss: 0.0090 - val_mse: 7.8772
Epoch 246/1000
0s - loss: 0.0042 - mse: 3.6778 - val_loss: 0.0090 - val_mse: 7.8783
Epoch 247/1000

Epoch 00246: reducing learning rate to 0.00168070008513.
0s - loss: 0.0042 - mse: 3.6680 - val_loss: 0.0090 - val_mse: 7.8717
Epoch 248/1000
0s - loss: 0.0042 - mse: 3.6581 - val_loss: 0.0090 - val_mse: 7.8665
Epoch 249/1000
0s - loss: 0.0042 - mse: 3.6512 - val_loss: 0.0090 - val_mse: 7.8680
Epoch 250/1000
0s - loss: 0.0042 - mse: 3.6443 - val_loss: 0.0090 - val_mse: 7.8746
Epoch 251/1000
0s - loss: 0.0042 - mse: 3.6374 - val_loss: 0.0090 - val_mse: 7.8776
Epoch 252/1000
0s - loss: 0.0042 - mse: 3.6306 - val_loss: 0.0090 - val_mse: 7.8752
Epoch 253/1000
0s - loss: 0.0042 - mse: 3.6238 - val_loss: 0.0090 - val_mse: 7.8740
Epoch 254/1000
0s - loss: 0.0042 - mse: 3.6170 - val_loss: 0.0090 - val_mse: 7.8721
Epoch 255/1000
0s - loss: 0.0041 - mse: 3.6102 - val_loss: 0.0090 - val_mse: 7.8712
Epoch 256/1000
0s - loss: 0.0041 - mse: 3.6034 - val_loss: 0.0090 - val_mse: 7.8750
Epoch 257/1000
0s - loss: 0.0041 - mse: 3.5966 - val_loss: 0.0090 - val_mse: 7.8764
Epoch 258/1000
0s - loss: 0.0041 - mse: 3.5899 - val_loss: 0.0090 - val_mse: 7.8711
Epoch 259/1000
0s - loss: 0.0041 - mse: 3.5830 - val_loss: 0.0090 - val_mse: 7.8668
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_61 (LSTM)               (None, None, 210)         178920    
_________________________________________________________________
time_distributed_58 (TimeDis (None, None, 1)           211       
=================================================================
Total params: 179,131
Trainable params: 179,131
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 0.9337 - mse: 813.0980 - val_loss: 0.8469 - val_mse: 737.4858
Epoch 2/1000
0s - loss: 0.8268 - mse: 720.0391 - val_loss: 0.6121 - val_mse: 533.0340
Epoch 3/1000
0s - loss: 0.5848 - mse: 509.2330 - val_loss: 0.6801 - val_mse: 592.2913
Epoch 4/1000
0s - loss: 0.6511 - mse: 567.0449 - val_loss: 0.5522 - val_mse: 480.8908
Epoch 5/1000
0s - loss: 0.5313 - mse: 462.6993 - val_loss: 0.3531 - val_mse: 307.4778
Epoch 6/1000
0s - loss: 0.3346 - mse: 291.3590 - val_loss: 0.3336 - val_mse: 290.5438
Epoch 7/1000
0s - loss: 0.3164 - mse: 275.5431 - val_loss: 0.2267 - val_mse: 197.3759
Epoch 8/1000
0s - loss: 0.2220 - mse: 193.2933 - val_loss: 0.1826 - val_mse: 159.0040
Epoch 9/1000
0s - loss: 0.1846 - mse: 160.7847 - val_loss: 0.1583 - val_mse: 137.8739
Epoch 10/1000
0s - loss: 0.1560 - mse: 135.8562 - val_loss: 0.1416 - val_mse: 123.2750
Epoch 11/1000
0s - loss: 0.1349 - mse: 117.4843 - val_loss: 0.1526 - val_mse: 132.8505
Epoch 12/1000
0s - loss: 0.1429 - mse: 124.4127 - val_loss: 0.1244 - val_mse: 108.3210
Epoch 13/1000
0s - loss: 0.1142 - mse: 99.4490 - val_loss: 0.1044 - val_mse: 90.9488
Epoch 14/1000
0s - loss: 0.0884 - mse: 76.9802 - val_loss: 0.1286 - val_mse: 111.9713
Epoch 15/1000
0s - loss: 0.1046 - mse: 91.0547 - val_loss: 0.1293 - val_mse: 112.5734
Epoch 16/1000
0s - loss: 0.1059 - mse: 92.1819 - val_loss: 0.1082 - val_mse: 94.2266
Epoch 17/1000
0s - loss: 0.0928 - mse: 80.8057 - val_loss: 0.0953 - val_mse: 83.0281
Epoch 18/1000
0s - loss: 0.0844 - mse: 73.4843 - val_loss: 0.0927 - val_mse: 80.7114
Epoch 19/1000
0s - loss: 0.0823 - mse: 71.6658 - val_loss: 0.0914 - val_mse: 79.5876
Epoch 20/1000
0s - loss: 0.0814 - mse: 70.8868 - val_loss: 0.0842 - val_mse: 73.3409
Epoch 21/1000
0s - loss: 0.0752 - mse: 65.5042 - val_loss: 0.0758 - val_mse: 65.9810
Epoch 22/1000
0s - loss: 0.0680 - mse: 59.2196 - val_loss: 0.0703 - val_mse: 61.2272
Epoch 23/1000
0s - loss: 0.0637 - mse: 55.4662 - val_loss: 0.0687 - val_mse: 59.8581
Epoch 24/1000
0s - loss: 0.0632 - mse: 55.0423 - val_loss: 0.0671 - val_mse: 58.3998
Epoch 25/1000
0s - loss: 0.0626 - mse: 54.5022 - val_loss: 0.0608 - val_mse: 52.9450
Epoch 26/1000
0s - loss: 0.0570 - mse: 49.6084 - val_loss: 0.0543 - val_mse: 47.3018
Epoch 27/1000
0s - loss: 0.0506 - mse: 44.0853 - val_loss: 0.0509 - val_mse: 44.2847
Epoch 28/1000
0s - loss: 0.0470 - mse: 40.9158 - val_loss: 0.0486 - val_mse: 42.2990
Epoch 29/1000
0s - loss: 0.0444 - mse: 38.6319 - val_loss: 0.0465 - val_mse: 40.4524
Epoch 30/1000
0s - loss: 0.0419 - mse: 36.4758 - val_loss: 0.0451 - val_mse: 39.3164
Epoch 31/1000
0s - loss: 0.0404 - mse: 35.2213 - val_loss: 0.0436 - val_mse: 37.9768
Epoch 32/1000
0s - loss: 0.0393 - mse: 34.1936 - val_loss: 0.0407 - val_mse: 35.4840
Epoch 33/1000
0s - loss: 0.0372 - mse: 32.3909 - val_loss: 0.0383 - val_mse: 33.3239
Epoch 34/1000
0s - loss: 0.0354 - mse: 30.8088 - val_loss: 0.0372 - val_mse: 32.4383
Epoch 35/1000
0s - loss: 0.0345 - mse: 30.0498 - val_loss: 0.0368 - val_mse: 32.0146
Epoch 36/1000
0s - loss: 0.0339 - mse: 29.4845 - val_loss: 0.0356 - val_mse: 30.9890
Epoch 37/1000
0s - loss: 0.0326 - mse: 28.3702 - val_loss: 0.0340 - val_mse: 29.5898
Epoch 38/1000
0s - loss: 0.0309 - mse: 26.9066 - val_loss: 0.0331 - val_mse: 28.8265
Epoch 39/1000
0s - loss: 0.0298 - mse: 25.9105 - val_loss: 0.0328 - val_mse: 28.5431
Epoch 40/1000
0s - loss: 0.0291 - mse: 25.3097 - val_loss: 0.0319 - val_mse: 27.7750
Epoch 41/1000
0s - loss: 0.0280 - mse: 24.4096 - val_loss: 0.0308 - val_mse: 26.8165
Epoch 42/1000
0s - loss: 0.0270 - mse: 23.5320 - val_loss: 0.0305 - val_mse: 26.5251
Epoch 43/1000
0s - loss: 0.0268 - mse: 23.3426 - val_loss: 0.0306 - val_mse: 26.6908
Epoch 44/1000
0s - loss: 0.0270 - mse: 23.4915 - val_loss: 0.0304 - val_mse: 26.4876
Epoch 45/1000
0s - loss: 0.0266 - mse: 23.1338 - val_loss: 0.0296 - val_mse: 25.7511
Epoch 46/1000
0s - loss: 0.0254 - mse: 22.1274 - val_loss: 0.0289 - val_mse: 25.1479
Epoch 47/1000
0s - loss: 0.0243 - mse: 21.1710 - val_loss: 0.0289 - val_mse: 25.1269
Epoch 48/1000
0s - loss: 0.0239 - mse: 20.8135 - val_loss: 0.0289 - val_mse: 25.1817
Epoch 49/1000
0s - loss: 0.0238 - mse: 20.7134 - val_loss: 0.0283 - val_mse: 24.6141
Epoch 50/1000
0s - loss: 0.0233 - mse: 20.2607 - val_loss: 0.0271 - val_mse: 23.5971
Epoch 51/1000
0s - loss: 0.0224 - mse: 19.5373 - val_loss: 0.0262 - val_mse: 22.7798
Epoch 52/1000
0s - loss: 0.0218 - mse: 19.0149 - val_loss: 0.0256 - val_mse: 22.3357
Epoch 53/1000
0s - loss: 0.0215 - mse: 18.7598 - val_loss: 0.0252 - val_mse: 21.9843
Epoch 54/1000
0s - loss: 0.0212 - mse: 18.4750 - val_loss: 0.0248 - val_mse: 21.6005
Epoch 55/1000
0s - loss: 0.0207 - mse: 18.0336 - val_loss: 0.0245 - val_mse: 21.3385
Epoch 56/1000
0s - loss: 0.0202 - mse: 17.5957 - val_loss: 0.0244 - val_mse: 21.2445
Epoch 57/1000
0s - loss: 0.0198 - mse: 17.2784 - val_loss: 0.0242 - val_mse: 21.1087
Epoch 58/1000
0s - loss: 0.0195 - mse: 17.0009 - val_loss: 0.0238 - val_mse: 20.7433
Epoch 59/1000
0s - loss: 0.0191 - mse: 16.6695 - val_loss: 0.0232 - val_mse: 20.2015
Epoch 60/1000
0s - loss: 0.0187 - mse: 16.3228 - val_loss: 0.0226 - val_mse: 19.6487
Epoch 61/1000
0s - loss: 0.0184 - mse: 16.0233 - val_loss: 0.0220 - val_mse: 19.1815
Epoch 62/1000
0s - loss: 0.0181 - mse: 15.7552 - val_loss: 0.0216 - val_mse: 18.8303
Epoch 63/1000
0s - loss: 0.0178 - mse: 15.4800 - val_loss: 0.0214 - val_mse: 18.6079
Epoch 64/1000
0s - loss: 0.0175 - mse: 15.1978 - val_loss: 0.0212 - val_mse: 18.4829
Epoch 65/1000
0s - loss: 0.0171 - mse: 14.9194 - val_loss: 0.0211 - val_mse: 18.3735
Epoch 66/1000
0s - loss: 0.0168 - mse: 14.6456 - val_loss: 0.0209 - val_mse: 18.2090
Epoch 67/1000
0s - loss: 0.0165 - mse: 14.3861 - val_loss: 0.0206 - val_mse: 17.9697
Epoch 68/1000
0s - loss: 0.0162 - mse: 14.1508 - val_loss: 0.0203 - val_mse: 17.6703
Epoch 69/1000
0s - loss: 0.0160 - mse: 13.9276 - val_loss: 0.0199 - val_mse: 17.3439
Epoch 70/1000
0s - loss: 0.0157 - mse: 13.7024 - val_loss: 0.0196 - val_mse: 17.0301
Epoch 71/1000
0s - loss: 0.0155 - mse: 13.4823 - val_loss: 0.0192 - val_mse: 16.7363
Epoch 72/1000
0s - loss: 0.0152 - mse: 13.2666 - val_loss: 0.0189 - val_mse: 16.4346
Epoch 73/1000
0s - loss: 0.0150 - mse: 13.0420 - val_loss: 0.0185 - val_mse: 16.1233
Epoch 74/1000
0s - loss: 0.0147 - mse: 12.8244 - val_loss: 0.0182 - val_mse: 15.8289
Epoch 75/1000
0s - loss: 0.0145 - mse: 12.6454 - val_loss: 0.0179 - val_mse: 15.5606
Epoch 76/1000
0s - loss: 0.0143 - mse: 12.4936 - val_loss: 0.0176 - val_mse: 15.2981
Epoch 77/1000
0s - loss: 0.0141 - mse: 12.3184 - val_loss: 0.0173 - val_mse: 15.0569
Epoch 78/1000
0s - loss: 0.0139 - mse: 12.1171 - val_loss: 0.0171 - val_mse: 14.8808
Epoch 79/1000
0s - loss: 0.0137 - mse: 11.9412 - val_loss: 0.0169 - val_mse: 14.7494
Epoch 80/1000
0s - loss: 0.0135 - mse: 11.7993 - val_loss: 0.0167 - val_mse: 14.5848
Epoch 81/1000
0s - loss: 0.0134 - mse: 11.6465 - val_loss: 0.0165 - val_mse: 14.3603
Epoch 82/1000
0s - loss: 0.0132 - mse: 11.4731 - val_loss: 0.0162 - val_mse: 14.1279
Epoch 83/1000
0s - loss: 0.0130 - mse: 11.3207 - val_loss: 0.0160 - val_mse: 13.9238
Epoch 84/1000
0s - loss: 0.0129 - mse: 11.1998 - val_loss: 0.0158 - val_mse: 13.7340
Epoch 85/1000
0s - loss: 0.0127 - mse: 11.0755 - val_loss: 0.0156 - val_mse: 13.5582
Epoch 86/1000
0s - loss: 0.0126 - mse: 10.9439 - val_loss: 0.0154 - val_mse: 13.4079
Epoch 87/1000
0s - loss: 0.0124 - mse: 10.8266 - val_loss: 0.0152 - val_mse: 13.2642
Epoch 88/1000
0s - loss: 0.0123 - mse: 10.7154 - val_loss: 0.0151 - val_mse: 13.1073
Epoch 89/1000
0s - loss: 0.0122 - mse: 10.5948 - val_loss: 0.0149 - val_mse: 12.9504
Epoch 90/1000
0s - loss: 0.0120 - mse: 10.4769 - val_loss: 0.0147 - val_mse: 12.8028
Epoch 91/1000
0s - loss: 0.0119 - mse: 10.3712 - val_loss: 0.0145 - val_mse: 12.6520
Epoch 92/1000
0s - loss: 0.0118 - mse: 10.2661 - val_loss: 0.0143 - val_mse: 12.4949
Epoch 93/1000
0s - loss: 0.0117 - mse: 10.1590 - val_loss: 0.0142 - val_mse: 12.3407
Epoch 94/1000
0s - loss: 0.0115 - mse: 10.0572 - val_loss: 0.0140 - val_mse: 12.1900
Epoch 95/1000
0s - loss: 0.0114 - mse: 9.9577 - val_loss: 0.0138 - val_mse: 12.0460
Epoch 96/1000
0s - loss: 0.0113 - mse: 9.8578 - val_loss: 0.0137 - val_mse: 11.9227
Epoch 97/1000
0s - loss: 0.0112 - mse: 9.7598 - val_loss: 0.0136 - val_mse: 11.8287
Epoch 98/1000
0s - loss: 0.0111 - mse: 9.6630 - val_loss: 0.0135 - val_mse: 11.7588
Epoch 99/1000
0s - loss: 0.0110 - mse: 9.5673 - val_loss: 0.0134 - val_mse: 11.6956
Epoch 100/1000
0s - loss: 0.0109 - mse: 9.4753 - val_loss: 0.0133 - val_mse: 11.6191
Epoch 101/1000
0s - loss: 0.0108 - mse: 9.3857 - val_loss: 0.0132 - val_mse: 11.5326
Epoch 102/1000
0s - loss: 0.0107 - mse: 9.2978 - val_loss: 0.0132 - val_mse: 11.4531
Epoch 103/1000
0s - loss: 0.0106 - mse: 9.2115 - val_loss: 0.0131 - val_mse: 11.3909
Epoch 104/1000
0s - loss: 0.0105 - mse: 9.1263 - val_loss: 0.0130 - val_mse: 11.3415
Epoch 105/1000
0s - loss: 0.0104 - mse: 9.0436 - val_loss: 0.0130 - val_mse: 11.2894
Epoch 106/1000
0s - loss: 0.0103 - mse: 8.9632 - val_loss: 0.0129 - val_mse: 11.2174
Epoch 107/1000
0s - loss: 0.0102 - mse: 8.8811 - val_loss: 0.0128 - val_mse: 11.1262
Epoch 108/1000
0s - loss: 0.0101 - mse: 8.7996 - val_loss: 0.0127 - val_mse: 11.0311
Epoch 109/1000
0s - loss: 0.0100 - mse: 8.7218 - val_loss: 0.0126 - val_mse: 10.9463
Epoch 110/1000
0s - loss: 0.0099 - mse: 8.6441 - val_loss: 0.0125 - val_mse: 10.8756
Epoch 111/1000
0s - loss: 0.0098 - mse: 8.5660 - val_loss: 0.0124 - val_mse: 10.8081
Epoch 112/1000
0s - loss: 0.0098 - mse: 8.4907 - val_loss: 0.0123 - val_mse: 10.7304
Epoch 113/1000
0s - loss: 0.0097 - mse: 8.4155 - val_loss: 0.0122 - val_mse: 10.6499
Epoch 114/1000
0s - loss: 0.0096 - mse: 8.3396 - val_loss: 0.0122 - val_mse: 10.5857
Epoch 115/1000
0s - loss: 0.0095 - mse: 8.2651 - val_loss: 0.0121 - val_mse: 10.5419
Epoch 116/1000
0s - loss: 0.0094 - mse: 8.1906 - val_loss: 0.0121 - val_mse: 10.5114
Epoch 117/1000
0s - loss: 0.0093 - mse: 8.1162 - val_loss: 0.0120 - val_mse: 10.4732
Epoch 118/1000
0s - loss: 0.0092 - mse: 8.0427 - val_loss: 0.0120 - val_mse: 10.4083
Epoch 119/1000
0s - loss: 0.0092 - mse: 7.9694 - val_loss: 0.0119 - val_mse: 10.3247
Epoch 120/1000
0s - loss: 0.0091 - mse: 7.8960 - val_loss: 0.0118 - val_mse: 10.2413
Epoch 121/1000
0s - loss: 0.0090 - mse: 7.8224 - val_loss: 0.0117 - val_mse: 10.1651
Epoch 122/1000
0s - loss: 0.0089 - mse: 7.7484 - val_loss: 0.0116 - val_mse: 10.0985
Epoch 123/1000
0s - loss: 0.0088 - mse: 7.6740 - val_loss: 0.0115 - val_mse: 10.0249
Epoch 124/1000
0s - loss: 0.0087 - mse: 7.5993 - val_loss: 0.0114 - val_mse: 9.9369
Epoch 125/1000
0s - loss: 0.0086 - mse: 7.5245 - val_loss: 0.0113 - val_mse: 9.8479
Epoch 126/1000
0s - loss: 0.0086 - mse: 7.4488 - val_loss: 0.0112 - val_mse: 9.7580
Epoch 127/1000
0s - loss: 0.0085 - mse: 7.3719 - val_loss: 0.0111 - val_mse: 9.6762
Epoch 128/1000
0s - loss: 0.0084 - mse: 7.2948 - val_loss: 0.0110 - val_mse: 9.5908
Epoch 129/1000
0s - loss: 0.0083 - mse: 7.2163 - val_loss: 0.0109 - val_mse: 9.5099
Epoch 130/1000
0s - loss: 0.0082 - mse: 7.1368 - val_loss: 0.0108 - val_mse: 9.4250
Epoch 131/1000
0s - loss: 0.0081 - mse: 7.0575 - val_loss: 0.0107 - val_mse: 9.3504
Epoch 132/1000
0s - loss: 0.0080 - mse: 6.9773 - val_loss: 0.0106 - val_mse: 9.2217
Epoch 133/1000
0s - loss: 0.0079 - mse: 6.9031 - val_loss: 0.0107 - val_mse: 9.2808
Epoch 134/1000
0s - loss: 0.0079 - mse: 6.8966 - val_loss: 0.0110 - val_mse: 9.5878
Epoch 135/1000
0s - loss: 0.0088 - mse: 7.6652 - val_loss: 0.0198 - val_mse: 17.2342
Epoch 136/1000
0s - loss: 0.0173 - mse: 15.0680 - val_loss: 0.0164 - val_mse: 14.3223
Epoch 137/1000

Epoch 00136: reducing learning rate to 0.00699999984354.
5s - loss: 0.0162 - mse: 14.0918 - val_loss: 0.0113 - val_mse: 9.8571
Epoch 138/1000
0s - loss: 0.0095 - mse: 8.2812 - val_loss: 0.0131 - val_mse: 11.3907
Epoch 139/1000
0s - loss: 0.0110 - mse: 9.5420 - val_loss: 0.0115 - val_mse: 9.9924
Epoch 140/1000
0s - loss: 0.0092 - mse: 8.0420 - val_loss: 0.0113 - val_mse: 9.8569
Epoch 141/1000
0s - loss: 0.0095 - mse: 8.2654 - val_loss: 0.0118 - val_mse: 10.3032
Epoch 142/1000
0s - loss: 0.0103 - mse: 9.0045 - val_loss: 0.0108 - val_mse: 9.4052
Epoch 143/1000
0s - loss: 0.0091 - mse: 7.9010 - val_loss: 0.0109 - val_mse: 9.4824
Epoch 144/1000
0s - loss: 0.0088 - mse: 7.6281 - val_loss: 0.0120 - val_mse: 10.4141
Epoch 145/1000
0s - loss: 0.0096 - mse: 8.3434 - val_loss: 0.0118 - val_mse: 10.2380
Epoch 146/1000
0s - loss: 0.0093 - mse: 8.1232 - val_loss: 0.0108 - val_mse: 9.4295
Epoch 147/1000
0s - loss: 0.0086 - mse: 7.4464 - val_loss: 0.0108 - val_mse: 9.4479
Epoch 148/1000
0s - loss: 0.0088 - mse: 7.6805 - val_loss: 0.0111 - val_mse: 9.7035
Epoch 149/1000
0s - loss: 0.0092 - mse: 7.9838 - val_loss: 0.0108 - val_mse: 9.4370
Epoch 150/1000
0s - loss: 0.0086 - mse: 7.4963 - val_loss: 0.0108 - val_mse: 9.4351
Epoch 151/1000

Epoch 00150: reducing learning rate to 0.00489999982528.
0s - loss: 0.0083 - mse: 7.2242 - val_loss: 0.0112 - val_mse: 9.7732
Epoch 152/1000
0s - loss: 0.0086 - mse: 7.4669 - val_loss: 0.0111 - val_mse: 9.6462
Epoch 153/1000
0s - loss: 0.0085 - mse: 7.4187 - val_loss: 0.0105 - val_mse: 9.1713
Epoch 154/1000
0s - loss: 0.0082 - mse: 7.1213 - val_loss: 0.0101 - val_mse: 8.7954
Epoch 155/1000
0s - loss: 0.0080 - mse: 6.9537 - val_loss: 0.0100 - val_mse: 8.7127
Epoch 156/1000
0s - loss: 0.0081 - mse: 7.0295 - val_loss: 0.0100 - val_mse: 8.7227
Epoch 157/1000
0s - loss: 0.0081 - mse: 7.0797 - val_loss: 0.0099 - val_mse: 8.6537
Epoch 158/1000
0s - loss: 0.0080 - mse: 6.9384 - val_loss: 0.0099 - val_mse: 8.6027
Epoch 159/1000
0s - loss: 0.0078 - mse: 6.7855 - val_loss: 0.0099 - val_mse: 8.6446
Epoch 160/1000
0s - loss: 0.0078 - mse: 6.7834 - val_loss: 0.0099 - val_mse: 8.6476
Epoch 161/1000
0s - loss: 0.0078 - mse: 6.8240 - val_loss: 0.0098 - val_mse: 8.4976
Epoch 162/1000
0s - loss: 0.0078 - mse: 6.7621 - val_loss: 0.0095 - val_mse: 8.2874
Epoch 163/1000
0s - loss: 0.0076 - mse: 6.6416 - val_loss: 0.0094 - val_mse: 8.1823
Epoch 164/1000
0s - loss: 0.0076 - mse: 6.5827 - val_loss: 0.0094 - val_mse: 8.2114
Epoch 165/1000
0s - loss: 0.0076 - mse: 6.5815 - val_loss: 0.0095 - val_mse: 8.2741
Epoch 166/1000
0s - loss: 0.0075 - mse: 6.5413 - val_loss: 0.0095 - val_mse: 8.3034
Epoch 167/1000
0s - loss: 0.0074 - mse: 6.4530 - val_loss: 0.0095 - val_mse: 8.3057
Epoch 168/1000

Epoch 00167: reducing learning rate to 0.00343000004068.
0s - loss: 0.0073 - mse: 6.3952 - val_loss: 0.0095 - val_mse: 8.2706
Epoch 169/1000
0s - loss: 0.0073 - mse: 6.3827 - val_loss: 0.0094 - val_mse: 8.1992
Epoch 170/1000
0s - loss: 0.0073 - mse: 6.3622 - val_loss: 0.0093 - val_mse: 8.0964
Epoch 171/1000
0s - loss: 0.0073 - mse: 6.3171 - val_loss: 0.0092 - val_mse: 8.0112
Epoch 172/1000
0s - loss: 0.0072 - mse: 6.2716 - val_loss: 0.0092 - val_mse: 7.9762
Epoch 173/1000
0s - loss: 0.0072 - mse: 6.2440 - val_loss: 0.0092 - val_mse: 7.9831
Epoch 174/1000
0s - loss: 0.0071 - mse: 6.2262 - val_loss: 0.0092 - val_mse: 7.9958
Epoch 175/1000
0s - loss: 0.0071 - mse: 6.1988 - val_loss: 0.0092 - val_mse: 7.9833
Epoch 176/1000
0s - loss: 0.0071 - mse: 6.1582 - val_loss: 0.0091 - val_mse: 7.9376
Epoch 177/1000
0s - loss: 0.0070 - mse: 6.1188 - val_loss: 0.0090 - val_mse: 7.8658
Epoch 178/1000
0s - loss: 0.0070 - mse: 6.0909 - val_loss: 0.0089 - val_mse: 7.7776
Epoch 179/1000
0s - loss: 0.0070 - mse: 6.0685 - val_loss: 0.0088 - val_mse: 7.6858
Epoch 180/1000
0s - loss: 0.0069 - mse: 6.0402 - val_loss: 0.0087 - val_mse: 7.6090
Epoch 181/1000
0s - loss: 0.0069 - mse: 6.0045 - val_loss: 0.0087 - val_mse: 7.5647
Epoch 182/1000
0s - loss: 0.0069 - mse: 5.9708 - val_loss: 0.0087 - val_mse: 7.5555
Epoch 183/1000
0s - loss: 0.0068 - mse: 5.9448 - val_loss: 0.0087 - val_mse: 7.5611
Epoch 184/1000
0s - loss: 0.0068 - mse: 5.9215 - val_loss: 0.0087 - val_mse: 7.5533
Epoch 185/1000
0s - loss: 0.0068 - mse: 5.8926 - val_loss: 0.0086 - val_mse: 7.5186
Epoch 186/1000
0s - loss: 0.0067 - mse: 5.8592 - val_loss: 0.0086 - val_mse: 7.4648
Epoch 187/1000
0s - loss: 0.0067 - mse: 5.8292 - val_loss: 0.0085 - val_mse: 7.4064
Epoch 188/1000
0s - loss: 0.0067 - mse: 5.8048 - val_loss: 0.0084 - val_mse: 7.3532
Epoch 189/1000
0s - loss: 0.0066 - mse: 5.7795 - val_loss: 0.0084 - val_mse: 7.3130
Epoch 190/1000
0s - loss: 0.0066 - mse: 5.7493 - val_loss: 0.0084 - val_mse: 7.2920
Epoch 191/1000
0s - loss: 0.0066 - mse: 5.7182 - val_loss: 0.0084 - val_mse: 7.2878
Epoch 192/1000
0s - loss: 0.0065 - mse: 5.6915 - val_loss: 0.0084 - val_mse: 7.2847
Epoch 193/1000
0s - loss: 0.0065 - mse: 5.6670 - val_loss: 0.0083 - val_mse: 7.2648
Epoch 194/1000
0s - loss: 0.0065 - mse: 5.6396 - val_loss: 0.0083 - val_mse: 7.2235
Epoch 195/1000
0s - loss: 0.0064 - mse: 5.6097 - val_loss: 0.0082 - val_mse: 7.1715
Epoch 196/1000
0s - loss: 0.0064 - mse: 5.5819 - val_loss: 0.0082 - val_mse: 7.1222
Epoch 197/1000
0s - loss: 0.0064 - mse: 5.5568 - val_loss: 0.0081 - val_mse: 7.0827
Epoch 198/1000
0s - loss: 0.0064 - mse: 5.5306 - val_loss: 0.0081 - val_mse: 7.0556
Epoch 199/1000
0s - loss: 0.0063 - mse: 5.5017 - val_loss: 0.0081 - val_mse: 7.0397
Epoch 200/1000
0s - loss: 0.0063 - mse: 5.4735 - val_loss: 0.0081 - val_mse: 7.0263
Epoch 201/1000
0s - loss: 0.0063 - mse: 5.4473 - val_loss: 0.0080 - val_mse: 7.0022
Epoch 202/1000
0s - loss: 0.0062 - mse: 5.4208 - val_loss: 0.0080 - val_mse: 6.9607
Epoch 203/1000
0s - loss: 0.0062 - mse: 5.3920 - val_loss: 0.0079 - val_mse: 6.9081
Epoch 204/1000
0s - loss: 0.0062 - mse: 5.3632 - val_loss: 0.0079 - val_mse: 6.8566
Epoch 205/1000
0s - loss: 0.0061 - mse: 5.3361 - val_loss: 0.0078 - val_mse: 6.8142
Epoch 206/1000
0s - loss: 0.0061 - mse: 5.3093 - val_loss: 0.0078 - val_mse: 6.7831
Epoch 207/1000
0s - loss: 0.0061 - mse: 5.2807 - val_loss: 0.0078 - val_mse: 6.7616
Epoch 208/1000
0s - loss: 0.0060 - mse: 5.2516 - val_loss: 0.0077 - val_mse: 6.7431
Epoch 209/1000
0s - loss: 0.0060 - mse: 5.2237 - val_loss: 0.0077 - val_mse: 6.7185
Epoch 210/1000
0s - loss: 0.0060 - mse: 5.1960 - val_loss: 0.0077 - val_mse: 6.6831
Epoch 211/1000
0s - loss: 0.0059 - mse: 5.1672 - val_loss: 0.0076 - val_mse: 6.6407
Epoch 212/1000
0s - loss: 0.0059 - mse: 5.1377 - val_loss: 0.0076 - val_mse: 6.5992
Epoch 213/1000
0s - loss: 0.0059 - mse: 5.1090 - val_loss: 0.0075 - val_mse: 6.5642
Epoch 214/1000
0s - loss: 0.0058 - mse: 5.0801 - val_loss: 0.0075 - val_mse: 6.5365
Epoch 215/1000
0s - loss: 0.0058 - mse: 5.0502 - val_loss: 0.0075 - val_mse: 6.5132
Epoch 216/1000
0s - loss: 0.0058 - mse: 5.0200 - val_loss: 0.0075 - val_mse: 6.4894
Epoch 217/1000
0s - loss: 0.0057 - mse: 4.9900 - val_loss: 0.0074 - val_mse: 6.4596
Epoch 218/1000
0s - loss: 0.0057 - mse: 4.9598 - val_loss: 0.0074 - val_mse: 6.4223
Epoch 219/1000
0s - loss: 0.0057 - mse: 4.9288 - val_loss: 0.0073 - val_mse: 6.3811
Epoch 220/1000
0s - loss: 0.0056 - mse: 4.8974 - val_loss: 0.0073 - val_mse: 6.3417
Epoch 221/1000
0s - loss: 0.0056 - mse: 4.8660 - val_loss: 0.0072 - val_mse: 6.3071
Epoch 222/1000
0s - loss: 0.0056 - mse: 4.8343 - val_loss: 0.0072 - val_mse: 6.2765
Epoch 223/1000
0s - loss: 0.0055 - mse: 4.8019 - val_loss: 0.0072 - val_mse: 6.2475
Epoch 224/1000
0s - loss: 0.0055 - mse: 4.7692 - val_loss: 0.0071 - val_mse: 6.2164
Epoch 225/1000
0s - loss: 0.0054 - mse: 4.7365 - val_loss: 0.0071 - val_mse: 6.1812
Epoch 226/1000
0s - loss: 0.0054 - mse: 4.7031 - val_loss: 0.0071 - val_mse: 6.1429
Epoch 227/1000
0s - loss: 0.0054 - mse: 4.6690 - val_loss: 0.0070 - val_mse: 6.1047
Epoch 228/1000
0s - loss: 0.0053 - mse: 4.6345 - val_loss: 0.0070 - val_mse: 6.0690
Epoch 229/1000
0s - loss: 0.0053 - mse: 4.5996 - val_loss: 0.0069 - val_mse: 6.0358
Epoch 230/1000
0s - loss: 0.0052 - mse: 4.5641 - val_loss: 0.0069 - val_mse: 6.0039
Epoch 231/1000
0s - loss: 0.0052 - mse: 4.5281 - val_loss: 0.0069 - val_mse: 5.9718
Epoch 232/1000
0s - loss: 0.0052 - mse: 4.4916 - val_loss: 0.0068 - val_mse: 5.9378
Epoch 233/1000
0s - loss: 0.0051 - mse: 4.4543 - val_loss: 0.0068 - val_mse: 5.9018
Epoch 234/1000
0s - loss: 0.0051 - mse: 4.4162 - val_loss: 0.0067 - val_mse: 5.8649
Epoch 235/1000
0s - loss: 0.0050 - mse: 4.3778 - val_loss: 0.0067 - val_mse: 5.8278
Epoch 236/1000
0s - loss: 0.0050 - mse: 4.3388 - val_loss: 0.0067 - val_mse: 5.7916
Epoch 237/1000
0s - loss: 0.0049 - mse: 4.2990 - val_loss: 0.0066 - val_mse: 5.7562
Epoch 238/1000
0s - loss: 0.0049 - mse: 4.2584 - val_loss: 0.0066 - val_mse: 5.7215
Epoch 239/1000
0s - loss: 0.0048 - mse: 4.2171 - val_loss: 0.0065 - val_mse: 5.6865
Epoch 240/1000
0s - loss: 0.0048 - mse: 4.1751 - val_loss: 0.0065 - val_mse: 5.6496
Epoch 241/1000
0s - loss: 0.0047 - mse: 4.1323 - val_loss: 0.0064 - val_mse: 5.6105
Epoch 242/1000
0s - loss: 0.0047 - mse: 4.0889 - val_loss: 0.0064 - val_mse: 5.5708
Epoch 243/1000
0s - loss: 0.0046 - mse: 4.0450 - val_loss: 0.0064 - val_mse: 5.5321
Epoch 244/1000
0s - loss: 0.0046 - mse: 4.0002 - val_loss: 0.0063 - val_mse: 5.4954
Epoch 245/1000
0s - loss: 0.0045 - mse: 3.9547 - val_loss: 0.0063 - val_mse: 5.4596
Epoch 246/1000
0s - loss: 0.0045 - mse: 3.9085 - val_loss: 0.0062 - val_mse: 5.4227
Epoch 247/1000
0s - loss: 0.0044 - mse: 3.8617 - val_loss: 0.0062 - val_mse: 5.3844
Epoch 248/1000
0s - loss: 0.0044 - mse: 3.8145 - val_loss: 0.0061 - val_mse: 5.3453
Epoch 249/1000
0s - loss: 0.0043 - mse: 3.7669 - val_loss: 0.0061 - val_mse: 5.3077
Epoch 250/1000
0s - loss: 0.0043 - mse: 3.7190 - val_loss: 0.0061 - val_mse: 5.2715
Epoch 251/1000
0s - loss: 0.0042 - mse: 3.6707 - val_loss: 0.0060 - val_mse: 5.2347
Epoch 252/1000
0s - loss: 0.0042 - mse: 3.6212 - val_loss: 0.0060 - val_mse: 5.1963
Epoch 253/1000
0s - loss: 0.0041 - mse: 3.5703 - val_loss: 0.0059 - val_mse: 5.1571
Epoch 254/1000
0s - loss: 0.0040 - mse: 3.5186 - val_loss: 0.0059 - val_mse: 5.1188
Epoch 255/1000
0s - loss: 0.0040 - mse: 3.4661 - val_loss: 0.0058 - val_mse: 5.0809
Epoch 256/1000
0s - loss: 0.0039 - mse: 3.4133 - val_loss: 0.0058 - val_mse: 5.0422
Epoch 257/1000
0s - loss: 0.0039 - mse: 3.3602 - val_loss: 0.0057 - val_mse: 5.0018
Epoch 258/1000
0s - loss: 0.0038 - mse: 3.3065 - val_loss: 0.0057 - val_mse: 4.9620
Epoch 259/1000
0s - loss: 0.0037 - mse: 3.2527 - val_loss: 0.0057 - val_mse: 4.9236
Epoch 260/1000
0s - loss: 0.0037 - mse: 3.1987 - val_loss: 0.0056 - val_mse: 4.8848
Epoch 261/1000
0s - loss: 0.0036 - mse: 3.1442 - val_loss: 0.0056 - val_mse: 4.8446
Epoch 262/1000
0s - loss: 0.0035 - mse: 3.0896 - val_loss: 0.0055 - val_mse: 4.8054
Epoch 263/1000
0s - loss: 0.0035 - mse: 3.0349 - val_loss: 0.0055 - val_mse: 4.7683
Epoch 264/1000
0s - loss: 0.0034 - mse: 2.9800 - val_loss: 0.0054 - val_mse: 4.7306
Epoch 265/1000
0s - loss: 0.0034 - mse: 2.9243 - val_loss: 0.0054 - val_mse: 4.6908
Epoch 266/1000
0s - loss: 0.0033 - mse: 2.8694 - val_loss: 0.0053 - val_mse: 4.6500
Epoch 267/1000
0s - loss: 0.0032 - mse: 2.8146 - val_loss: 0.0053 - val_mse: 4.6094
Epoch 268/1000
0s - loss: 0.0032 - mse: 2.7597 - val_loss: 0.0052 - val_mse: 4.5686
Epoch 269/1000
0s - loss: 0.0031 - mse: 2.7048 - val_loss: 0.0052 - val_mse: 4.5270
Epoch 270/1000
0s - loss: 0.0030 - mse: 2.6502 - val_loss: 0.0052 - val_mse: 4.4864
Epoch 271/1000
0s - loss: 0.0030 - mse: 2.5966 - val_loss: 0.0051 - val_mse: 4.4455
Epoch 272/1000
0s - loss: 0.0029 - mse: 2.5436 - val_loss: 0.0051 - val_mse: 4.4025
Epoch 273/1000
0s - loss: 0.0029 - mse: 2.4912 - val_loss: 0.0050 - val_mse: 4.3597
Epoch 274/1000
0s - loss: 0.0028 - mse: 2.4395 - val_loss: 0.0050 - val_mse: 4.3207
Epoch 275/1000
0s - loss: 0.0027 - mse: 2.3892 - val_loss: 0.0049 - val_mse: 4.2811
Epoch 276/1000
0s - loss: 0.0027 - mse: 2.3401 - val_loss: 0.0049 - val_mse: 4.2374
Epoch 277/1000
0s - loss: 0.0026 - mse: 2.2919 - val_loss: 0.0048 - val_mse: 4.1959
Epoch 278/1000
0s - loss: 0.0026 - mse: 2.2453 - val_loss: 0.0048 - val_mse: 4.1581
Epoch 279/1000
0s - loss: 0.0025 - mse: 2.1996 - val_loss: 0.0047 - val_mse: 4.1195
Epoch 280/1000
0s - loss: 0.0025 - mse: 2.1553 - val_loss: 0.0047 - val_mse: 4.0808
Epoch 281/1000
0s - loss: 0.0024 - mse: 2.1117 - val_loss: 0.0046 - val_mse: 4.0451
Epoch 282/1000
0s - loss: 0.0024 - mse: 2.0690 - val_loss: 0.0046 - val_mse: 4.0104
Epoch 283/1000
0s - loss: 0.0023 - mse: 2.0282 - val_loss: 0.0046 - val_mse: 3.9754
Epoch 284/1000
0s - loss: 0.0023 - mse: 1.9888 - val_loss: 0.0045 - val_mse: 3.9425
Epoch 285/1000
0s - loss: 0.0022 - mse: 1.9505 - val_loss: 0.0045 - val_mse: 3.9118
Epoch 286/1000
0s - loss: 0.0022 - mse: 1.9132 - val_loss: 0.0045 - val_mse: 3.8785
Epoch 287/1000
0s - loss: 0.0022 - mse: 1.8770 - val_loss: 0.0044 - val_mse: 3.8464
Epoch 288/1000
0s - loss: 0.0021 - mse: 1.8419 - val_loss: 0.0044 - val_mse: 3.8159
Epoch 289/1000
0s - loss: 0.0021 - mse: 1.8079 - val_loss: 0.0043 - val_mse: 3.7864
Epoch 290/1000
0s - loss: 0.0020 - mse: 1.7749 - val_loss: 0.0043 - val_mse: 3.7592
Epoch 291/1000
0s - loss: 0.0020 - mse: 1.7430 - val_loss: 0.0043 - val_mse: 3.7344
Epoch 292/1000
0s - loss: 0.0020 - mse: 1.7123 - val_loss: 0.0043 - val_mse: 3.7103
Epoch 293/1000
0s - loss: 0.0019 - mse: 1.6828 - val_loss: 0.0042 - val_mse: 3.6885
Epoch 294/1000
0s - loss: 0.0019 - mse: 1.6543 - val_loss: 0.0042 - val_mse: 3.6681
Epoch 295/1000
0s - loss: 0.0019 - mse: 1.6271 - val_loss: 0.0042 - val_mse: 3.6488
Epoch 296/1000
0s - loss: 0.0018 - mse: 1.6012 - val_loss: 0.0042 - val_mse: 3.6313
Epoch 297/1000
0s - loss: 0.0018 - mse: 1.5764 - val_loss: 0.0042 - val_mse: 3.6158
Epoch 298/1000
0s - loss: 0.0018 - mse: 1.5526 - val_loss: 0.0041 - val_mse: 3.6009
Epoch 299/1000

Epoch 00298: reducing learning rate to 0.00240100002848.
0s - loss: 0.0018 - mse: 1.5296 - val_loss: 0.0041 - val_mse: 3.5866
Epoch 300/1000
0s - loss: 0.0017 - mse: 1.5074 - val_loss: 0.0041 - val_mse: 3.5774
Epoch 301/1000
0s - loss: 0.0017 - mse: 1.4925 - val_loss: 0.0041 - val_mse: 3.5683
Epoch 302/1000
0s - loss: 0.0017 - mse: 1.4779 - val_loss: 0.0041 - val_mse: 3.5585
Epoch 303/1000
0s - loss: 0.0017 - mse: 1.4638 - val_loss: 0.0041 - val_mse: 3.5495
Epoch 304/1000
0s - loss: 0.0017 - mse: 1.4501 - val_loss: 0.0041 - val_mse: 3.5416
Epoch 305/1000
0s - loss: 0.0016 - mse: 1.4368 - val_loss: 0.0041 - val_mse: 3.5333
Epoch 306/1000
0s - loss: 0.0016 - mse: 1.4239 - val_loss: 0.0040 - val_mse: 3.5245
Epoch 307/1000
0s - loss: 0.0016 - mse: 1.4114 - val_loss: 0.0040 - val_mse: 3.5161
Epoch 308/1000
0s - loss: 0.0016 - mse: 1.3992 - val_loss: 0.0040 - val_mse: 3.5085
Epoch 309/1000
0s - loss: 0.0016 - mse: 1.3874 - val_loss: 0.0040 - val_mse: 3.5013
Epoch 310/1000
0s - loss: 0.0016 - mse: 1.3759 - val_loss: 0.0040 - val_mse: 3.4948
Epoch 311/1000
0s - loss: 0.0016 - mse: 1.3647 - val_loss: 0.0040 - val_mse: 3.4891
Epoch 312/1000
0s - loss: 0.0016 - mse: 1.3538 - val_loss: 0.0040 - val_mse: 3.4834
Epoch 313/1000
0s - loss: 0.0015 - mse: 1.3432 - val_loss: 0.0040 - val_mse: 3.4786
Epoch 314/1000
0s - loss: 0.0015 - mse: 1.3329 - val_loss: 0.0040 - val_mse: 3.4743
Epoch 315/1000
0s - loss: 0.0015 - mse: 1.3228 - val_loss: 0.0040 - val_mse: 3.4695
Epoch 316/1000

Epoch 00315: reducing learning rate to 0.00168070008513.
0s - loss: 0.0015 - mse: 1.3131 - val_loss: 0.0040 - val_mse: 3.4640
Epoch 317/1000
0s - loss: 0.0015 - mse: 1.3036 - val_loss: 0.0040 - val_mse: 3.4604
Epoch 318/1000
0s - loss: 0.0015 - mse: 1.2971 - val_loss: 0.0040 - val_mse: 3.4569
Epoch 319/1000
0s - loss: 0.0015 - mse: 1.2908 - val_loss: 0.0040 - val_mse: 3.4537
Epoch 320/1000
0s - loss: 0.0015 - mse: 1.2846 - val_loss: 0.0040 - val_mse: 3.4507
Epoch 321/1000
0s - loss: 0.0015 - mse: 1.2785 - val_loss: 0.0040 - val_mse: 3.4477
Epoch 322/1000
0s - loss: 0.0015 - mse: 1.2725 - val_loss: 0.0040 - val_mse: 3.4446
Epoch 323/1000
0s - loss: 0.0015 - mse: 1.2666 - val_loss: 0.0040 - val_mse: 3.4415
Epoch 324/1000
0s - loss: 0.0014 - mse: 1.2608 - val_loss: 0.0039 - val_mse: 3.4387
Epoch 325/1000
0s - loss: 0.0014 - mse: 1.2551 - val_loss: 0.0039 - val_mse: 3.4364
Epoch 326/1000
0s - loss: 0.0014 - mse: 1.2495 - val_loss: 0.0039 - val_mse: 3.4343
Epoch 327/1000
0s - loss: 0.0014 - mse: 1.2439 - val_loss: 0.0039 - val_mse: 3.4322
Epoch 328/1000
0s - loss: 0.0014 - mse: 1.2384 - val_loss: 0.0039 - val_mse: 3.4300
Epoch 329/1000
0s - loss: 0.0014 - mse: 1.2331 - val_loss: 0.0039 - val_mse: 3.4279
Epoch 330/1000

Epoch 00329: reducing learning rate to 0.00117649007589.
0s - loss: 0.0014 - mse: 1.2278 - val_loss: 0.0039 - val_mse: 3.4257
Epoch 331/1000
0s - loss: 0.0014 - mse: 1.2225 - val_loss: 0.0039 - val_mse: 3.4241
Epoch 332/1000
0s - loss: 0.0014 - mse: 1.2189 - val_loss: 0.0039 - val_mse: 3.4227
Epoch 333/1000
0s - loss: 0.0014 - mse: 1.2153 - val_loss: 0.0039 - val_mse: 3.4214
Epoch 334/1000
0s - loss: 0.0014 - mse: 1.2118 - val_loss: 0.0039 - val_mse: 3.4199
Epoch 335/1000
0s - loss: 0.0014 - mse: 1.2084 - val_loss: 0.0039 - val_mse: 3.4187
Epoch 336/1000
0s - loss: 0.0014 - mse: 1.2049 - val_loss: 0.0039 - val_mse: 3.4173
Epoch 337/1000
0s - loss: 0.0014 - mse: 1.2015 - val_loss: 0.0039 - val_mse: 3.4160
Epoch 338/1000
0s - loss: 0.0014 - mse: 1.1981 - val_loss: 0.0039 - val_mse: 3.4146
Epoch 339/1000
0s - loss: 0.0014 - mse: 1.1947 - val_loss: 0.0039 - val_mse: 3.4131
Epoch 340/1000
0s - loss: 0.0014 - mse: 1.1914 - val_loss: 0.0039 - val_mse: 3.4116
Epoch 341/1000
0s - loss: 0.0014 - mse: 1.1880 - val_loss: 0.0039 - val_mse: 3.4103
Epoch 342/1000
0s - loss: 0.0014 - mse: 1.1847 - val_loss: 0.0039 - val_mse: 3.4095
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_62 (LSTM)               (None, None, 310)         388120    
_________________________________________________________________
time_distributed_59 (TimeDis (None, None, 1)           311       
=================================================================
Total params: 388,431
Trainable params: 388,431
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 1.0260 - mse: 893.4940 - val_loss: 0.7142 - val_mse: 621.9908
Epoch 2/1000
0s - loss: 0.6783 - mse: 590.7087 - val_loss: 0.6959 - val_mse: 606.0475
Epoch 3/1000
0s - loss: 0.6680 - mse: 581.7374 - val_loss: 0.5772 - val_mse: 502.6556
Epoch 4/1000
0s - loss: 0.5572 - mse: 485.2192 - val_loss: 0.3772 - val_mse: 328.5114
Epoch 5/1000
0s - loss: 0.3442 - mse: 299.7696 - val_loss: 0.3075 - val_mse: 267.7470
Epoch 6/1000
0s - loss: 0.3163 - mse: 275.4109 - val_loss: 0.3049 - val_mse: 265.4926
Epoch 7/1000
0s - loss: 0.2990 - mse: 260.4160 - val_loss: 0.2543 - val_mse: 221.4547
Epoch 8/1000
0s - loss: 0.2466 - mse: 214.7823 - val_loss: 0.2375 - val_mse: 206.8568
Epoch 9/1000
0s - loss: 0.2268 - mse: 197.5102 - val_loss: 0.1712 - val_mse: 149.0692
Epoch 10/1000
0s - loss: 0.1660 - mse: 144.5650 - val_loss: 0.2468 - val_mse: 214.9185
Epoch 11/1000
0s - loss: 0.2348 - mse: 204.4991 - val_loss: 0.1438 - val_mse: 125.2340
Epoch 12/1000
0s - loss: 0.1311 - mse: 114.1534 - val_loss: 0.1830 - val_mse: 159.3876
Epoch 13/1000
0s - loss: 0.1684 - mse: 146.6598 - val_loss: 0.1580 - val_mse: 137.5986
Epoch 14/1000
0s - loss: 0.1444 - mse: 125.7562 - val_loss: 0.1258 - val_mse: 109.5865
Epoch 15/1000
0s - loss: 0.1137 - mse: 99.0236 - val_loss: 0.1121 - val_mse: 97.6092
Epoch 16/1000
0s - loss: 0.0994 - mse: 86.5487 - val_loss: 0.1118 - val_mse: 97.3708
Epoch 17/1000
0s - loss: 0.0966 - mse: 84.1660 - val_loss: 0.1063 - val_mse: 92.5805
Epoch 18/1000
0s - loss: 0.0899 - mse: 78.3062 - val_loss: 0.0927 - val_mse: 80.7402
Epoch 19/1000
0s - loss: 0.0772 - mse: 67.2719 - val_loss: 0.0829 - val_mse: 72.1493
Epoch 20/1000
0s - loss: 0.0684 - mse: 59.6067 - val_loss: 0.0790 - val_mse: 68.8222
Epoch 21/1000
0s - loss: 0.0658 - mse: 57.2752 - val_loss: 0.0758 - val_mse: 66.0353
Epoch 22/1000
0s - loss: 0.0647 - mse: 56.3005 - val_loss: 0.0709 - val_mse: 61.7702
Epoch 23/1000
0s - loss: 0.0622 - mse: 54.1942 - val_loss: 0.0653 - val_mse: 56.8666
Epoch 24/1000
0s - loss: 0.0587 - mse: 51.0935 - val_loss: 0.0600 - val_mse: 52.2078
Epoch 25/1000
0s - loss: 0.0548 - mse: 47.6912 - val_loss: 0.0552 - val_mse: 48.0820
Epoch 26/1000
0s - loss: 0.0508 - mse: 44.2714 - val_loss: 0.0514 - val_mse: 44.8039
Epoch 27/1000
0s - loss: 0.0472 - mse: 41.1130 - val_loss: 0.0492 - val_mse: 42.8488
Epoch 28/1000
0s - loss: 0.0445 - mse: 38.7906 - val_loss: 0.0480 - val_mse: 41.7825
Epoch 29/1000
0s - loss: 0.0428 - mse: 37.2476 - val_loss: 0.0464 - val_mse: 40.4146
Epoch 30/1000
0s - loss: 0.0410 - mse: 35.6710 - val_loss: 0.0443 - val_mse: 38.5381
Epoch 31/1000
0s - loss: 0.0389 - mse: 33.8556 - val_loss: 0.0420 - val_mse: 36.5418
Epoch 32/1000
0s - loss: 0.0367 - mse: 31.9607 - val_loss: 0.0395 - val_mse: 34.3623
Epoch 33/1000
0s - loss: 0.0343 - mse: 29.8375 - val_loss: 0.0368 - val_mse: 32.0491
Epoch 34/1000
0s - loss: 0.0318 - mse: 27.6660 - val_loss: 0.0343 - val_mse: 29.9063
Epoch 35/1000
0s - loss: 0.0298 - mse: 25.9412 - val_loss: 0.0320 - val_mse: 27.8347
Epoch 36/1000
0s - loss: 0.0283 - mse: 24.6092 - val_loss: 0.0296 - val_mse: 25.7762
Epoch 37/1000
0s - loss: 0.0270 - mse: 23.4734 - val_loss: 0.0274 - val_mse: 23.8799
Epoch 38/1000
0s - loss: 0.0257 - mse: 22.4070 - val_loss: 0.0256 - val_mse: 22.3278
Epoch 39/1000
0s - loss: 0.0246 - mse: 21.3980 - val_loss: 0.0247 - val_mse: 21.5020
Epoch 40/1000
0s - loss: 0.0239 - mse: 20.7977 - val_loss: 0.0243 - val_mse: 21.1784
Epoch 41/1000
0s - loss: 0.0234 - mse: 20.4095 - val_loss: 0.0240 - val_mse: 20.8902
Epoch 42/1000
0s - loss: 0.0228 - mse: 19.8339 - val_loss: 0.0236 - val_mse: 20.5670
Epoch 43/1000
0s - loss: 0.0219 - mse: 19.1146 - val_loss: 0.0231 - val_mse: 20.0901
Epoch 44/1000
0s - loss: 0.0209 - mse: 18.2231 - val_loss: 0.0224 - val_mse: 19.5419
Epoch 45/1000
0s - loss: 0.0199 - mse: 17.3004 - val_loss: 0.0220 - val_mse: 19.1323
Epoch 46/1000
0s - loss: 0.0191 - mse: 16.6081 - val_loss: 0.0216 - val_mse: 18.7975
Epoch 47/1000
0s - loss: 0.0185 - mse: 16.0881 - val_loss: 0.0213 - val_mse: 18.5712
Epoch 48/1000
0s - loss: 0.0181 - mse: 15.7251 - val_loss: 0.0212 - val_mse: 18.4472
Epoch 49/1000
0s - loss: 0.0178 - mse: 15.4618 - val_loss: 0.0210 - val_mse: 18.2600
Epoch 50/1000
0s - loss: 0.0174 - mse: 15.1176 - val_loss: 0.0208 - val_mse: 18.0886
Epoch 51/1000
0s - loss: 0.0170 - mse: 14.7776 - val_loss: 0.0206 - val_mse: 17.9307
Epoch 52/1000
0s - loss: 0.0166 - mse: 14.4609 - val_loss: 0.0203 - val_mse: 17.6898
Epoch 53/1000
0s - loss: 0.0162 - mse: 14.1212 - val_loss: 0.0199 - val_mse: 17.3042
Epoch 54/1000
0s - loss: 0.0157 - mse: 13.7102 - val_loss: 0.0194 - val_mse: 16.8574
Epoch 55/1000
0s - loss: 0.0153 - mse: 13.2886 - val_loss: 0.0189 - val_mse: 16.4511
Epoch 56/1000
0s - loss: 0.0148 - mse: 12.9223 - val_loss: 0.0185 - val_mse: 16.1517
Epoch 57/1000
0s - loss: 0.0145 - mse: 12.6532 - val_loss: 0.0183 - val_mse: 15.9359
Epoch 58/1000
0s - loss: 0.0143 - mse: 12.4453 - val_loss: 0.0181 - val_mse: 15.7533
Epoch 59/1000
0s - loss: 0.0140 - mse: 12.2341 - val_loss: 0.0179 - val_mse: 15.6150
Epoch 60/1000
0s - loss: 0.0138 - mse: 12.0438 - val_loss: 0.0178 - val_mse: 15.4585
Epoch 61/1000
0s - loss: 0.0136 - mse: 11.8619 - val_loss: 0.0175 - val_mse: 15.2397
Epoch 62/1000
0s - loss: 0.0134 - mse: 11.6976 - val_loss: 0.0171 - val_mse: 14.9178
Epoch 63/1000
0s - loss: 0.0132 - mse: 11.5211 - val_loss: 0.0167 - val_mse: 14.5167
Epoch 64/1000
0s - loss: 0.0130 - mse: 11.3116 - val_loss: 0.0162 - val_mse: 14.1210
Epoch 65/1000
0s - loss: 0.0127 - mse: 11.0878 - val_loss: 0.0159 - val_mse: 13.8238
Epoch 66/1000
0s - loss: 0.0125 - mse: 10.9184 - val_loss: 0.0156 - val_mse: 13.6259
Epoch 67/1000
0s - loss: 0.0124 - mse: 10.7945 - val_loss: 0.0155 - val_mse: 13.5010
Epoch 68/1000
0s - loss: 0.0123 - mse: 10.6878 - val_loss: 0.0154 - val_mse: 13.3844
Epoch 69/1000
0s - loss: 0.0121 - mse: 10.5424 - val_loss: 0.0152 - val_mse: 13.2685
Epoch 70/1000
0s - loss: 0.0119 - mse: 10.3629 - val_loss: 0.0151 - val_mse: 13.1834
Epoch 71/1000
0s - loss: 0.0117 - mse: 10.1887 - val_loss: 0.0151 - val_mse: 13.1457
Epoch 72/1000
0s - loss: 0.0115 - mse: 10.0458 - val_loss: 0.0151 - val_mse: 13.1187
Epoch 73/1000
0s - loss: 0.0114 - mse: 9.9191 - val_loss: 0.0150 - val_mse: 13.0564
Epoch 74/1000
0s - loss: 0.0113 - mse: 9.7989 - val_loss: 0.0149 - val_mse: 12.9351
Epoch 75/1000
0s - loss: 0.0111 - mse: 9.6794 - val_loss: 0.0147 - val_mse: 12.7680
Epoch 76/1000
0s - loss: 0.0110 - mse: 9.5620 - val_loss: 0.0144 - val_mse: 12.5750
Epoch 77/1000
0s - loss: 0.0108 - mse: 9.4481 - val_loss: 0.0142 - val_mse: 12.3762
Epoch 78/1000
0s - loss: 0.0107 - mse: 9.3283 - val_loss: 0.0140 - val_mse: 12.2151
Epoch 79/1000
0s - loss: 0.0106 - mse: 9.2118 - val_loss: 0.0139 - val_mse: 12.0989
Epoch 80/1000
0s - loss: 0.0104 - mse: 9.0972 - val_loss: 0.0138 - val_mse: 12.0102
Epoch 81/1000
0s - loss: 0.0103 - mse: 8.9844 - val_loss: 0.0137 - val_mse: 11.9305
Epoch 82/1000
0s - loss: 0.0102 - mse: 8.8689 - val_loss: 0.0136 - val_mse: 11.8508
Epoch 83/1000
0s - loss: 0.0100 - mse: 8.7502 - val_loss: 0.0135 - val_mse: 11.7726
Epoch 84/1000
0s - loss: 0.0099 - mse: 8.6433 - val_loss: 0.0134 - val_mse: 11.6959
Epoch 85/1000
0s - loss: 0.0098 - mse: 8.5493 - val_loss: 0.0134 - val_mse: 11.6316
Epoch 86/1000
0s - loss: 0.0097 - mse: 8.4569 - val_loss: 0.0133 - val_mse: 11.5692
Epoch 87/1000
0s - loss: 0.0096 - mse: 8.3559 - val_loss: 0.0132 - val_mse: 11.4993
Epoch 88/1000
0s - loss: 0.0095 - mse: 8.2547 - val_loss: 0.0131 - val_mse: 11.4230
Epoch 89/1000
0s - loss: 0.0094 - mse: 8.1616 - val_loss: 0.0130 - val_mse: 11.3184
Epoch 90/1000
0s - loss: 0.0093 - mse: 8.0742 - val_loss: 0.0129 - val_mse: 11.1934
Epoch 91/1000
0s - loss: 0.0092 - mse: 7.9866 - val_loss: 0.0127 - val_mse: 11.0772
Epoch 92/1000
0s - loss: 0.0091 - mse: 7.8979 - val_loss: 0.0126 - val_mse: 10.9758
Epoch 93/1000
0s - loss: 0.0090 - mse: 7.8111 - val_loss: 0.0125 - val_mse: 10.9158
Epoch 94/1000
0s - loss: 0.0089 - mse: 7.7251 - val_loss: 0.0125 - val_mse: 10.8777
Epoch 95/1000
0s - loss: 0.0088 - mse: 7.6383 - val_loss: 0.0125 - val_mse: 10.8554
Epoch 96/1000
0s - loss: 0.0087 - mse: 7.5518 - val_loss: 0.0124 - val_mse: 10.8345
Epoch 97/1000
0s - loss: 0.0086 - mse: 7.4691 - val_loss: 0.0124 - val_mse: 10.7876
Epoch 98/1000
0s - loss: 0.0085 - mse: 7.3884 - val_loss: 0.0123 - val_mse: 10.7348
Epoch 99/1000
0s - loss: 0.0084 - mse: 7.3094 - val_loss: 0.0122 - val_mse: 10.6437
Epoch 100/1000
0s - loss: 0.0083 - mse: 7.2356 - val_loss: 0.0122 - val_mse: 10.6315
Epoch 101/1000
0s - loss: 0.0083 - mse: 7.1925 - val_loss: 0.0122 - val_mse: 10.6396
Epoch 102/1000
0s - loss: 0.0084 - mse: 7.2851 - val_loss: 0.0134 - val_mse: 11.6567
Epoch 103/1000
0s - loss: 0.0095 - mse: 8.2360 - val_loss: 0.0160 - val_mse: 13.9187
Epoch 104/1000

Epoch 00103: reducing learning rate to 0.00699999984354.
4s - loss: 0.0128 - mse: 11.1487 - val_loss: 0.0290 - val_mse: 25.2714
Epoch 105/1000
0s - loss: 0.0265 - mse: 23.1163 - val_loss: 0.0156 - val_mse: 13.5469
Epoch 106/1000
0s - loss: 0.0121 - mse: 10.5673 - val_loss: 0.0172 - val_mse: 14.9656
Epoch 107/1000
0s - loss: 0.0144 - mse: 12.5004 - val_loss: 0.0191 - val_mse: 16.6003
Epoch 108/1000
0s - loss: 0.0167 - mse: 14.5560 - val_loss: 0.0136 - val_mse: 11.8656
Epoch 109/1000
0s - loss: 0.0103 - mse: 8.9641 - val_loss: 0.0170 - val_mse: 14.8060
Epoch 110/1000
0s - loss: 0.0130 - mse: 11.3017 - val_loss: 0.0177 - val_mse: 15.4418
Epoch 111/1000
0s - loss: 0.0134 - mse: 11.6994 - val_loss: 0.0148 - val_mse: 12.8450
Epoch 112/1000
0s - loss: 0.0107 - mse: 9.2866 - val_loss: 0.0153 - val_mse: 13.3344
Epoch 113/1000
0s - loss: 0.0117 - mse: 10.1641 - val_loss: 0.0156 - val_mse: 13.6098
Epoch 114/1000
0s - loss: 0.0124 - mse: 10.7774 - val_loss: 0.0133 - val_mse: 11.5740
Epoch 115/1000
0s - loss: 0.0101 - mse: 8.8251 - val_loss: 0.0133 - val_mse: 11.5649
Epoch 116/1000
0s - loss: 0.0099 - mse: 8.6451 - val_loss: 0.0149 - val_mse: 13.0123
Epoch 117/1000
0s - loss: 0.0113 - mse: 9.8618 - val_loss: 0.0146 - val_mse: 12.7510
Epoch 118/1000

Epoch 00117: reducing learning rate to 0.00489999982528.
0s - loss: 0.0110 - mse: 9.5455 - val_loss: 0.0131 - val_mse: 11.4137
Epoch 119/1000
0s - loss: 0.0096 - mse: 8.3443 - val_loss: 0.0128 - val_mse: 11.1371
Epoch 120/1000
0s - loss: 0.0094 - mse: 8.1876 - val_loss: 0.0130 - val_mse: 11.2926
Epoch 121/1000
0s - loss: 0.0097 - mse: 8.4208 - val_loss: 0.0129 - val_mse: 11.2235
Epoch 122/1000
0s - loss: 0.0096 - mse: 8.3614 - val_loss: 0.0126 - val_mse: 10.9336
Epoch 123/1000
0s - loss: 0.0092 - mse: 8.0287 - val_loss: 0.0125 - val_mse: 10.8813
Epoch 124/1000
0s - loss: 0.0091 - mse: 7.9115 - val_loss: 0.0127 - val_mse: 11.0790
Epoch 125/1000
0s - loss: 0.0092 - mse: 8.0424 - val_loss: 0.0128 - val_mse: 11.1387
Epoch 126/1000
0s - loss: 0.0092 - mse: 8.0431 - val_loss: 0.0125 - val_mse: 10.9135
Epoch 127/1000
0s - loss: 0.0089 - mse: 7.7778 - val_loss: 0.0122 - val_mse: 10.6634
Epoch 128/1000
0s - loss: 0.0086 - mse: 7.5242 - val_loss: 0.0122 - val_mse: 10.6141
Epoch 129/1000
0s - loss: 0.0086 - mse: 7.5240 - val_loss: 0.0122 - val_mse: 10.6205
Epoch 130/1000
0s - loss: 0.0088 - mse: 7.6282 - val_loss: 0.0120 - val_mse: 10.4491
Epoch 131/1000
0s - loss: 0.0087 - mse: 7.5690 - val_loss: 0.0117 - val_mse: 10.1771
Epoch 132/1000
0s - loss: 0.0085 - mse: 7.3795 - val_loss: 0.0115 - val_mse: 10.0500
Epoch 133/1000
0s - loss: 0.0084 - mse: 7.2785 - val_loss: 0.0116 - val_mse: 10.1009
Epoch 134/1000
0s - loss: 0.0084 - mse: 7.3005 - val_loss: 0.0117 - val_mse: 10.1630
Epoch 135/1000
0s - loss: 0.0084 - mse: 7.2892 - val_loss: 0.0117 - val_mse: 10.1515
Epoch 136/1000
0s - loss: 0.0082 - mse: 7.1733 - val_loss: 0.0117 - val_mse: 10.1579
Epoch 137/1000

Epoch 00136: reducing learning rate to 0.00343000004068.
0s - loss: 0.0081 - mse: 7.0639 - val_loss: 0.0118 - val_mse: 10.2496
Epoch 138/1000
0s - loss: 0.0081 - mse: 7.0583 - val_loss: 0.0118 - val_mse: 10.2945
Epoch 139/1000
0s - loss: 0.0081 - mse: 7.0702 - val_loss: 0.0118 - val_mse: 10.2518
Epoch 140/1000
0s - loss: 0.0081 - mse: 7.0332 - val_loss: 0.0116 - val_mse: 10.1396
Epoch 141/1000
0s - loss: 0.0080 - mse: 6.9573 - val_loss: 0.0115 - val_mse: 10.0259
Epoch 142/1000
0s - loss: 0.0079 - mse: 6.8939 - val_loss: 0.0114 - val_mse: 9.9562
Epoch 143/1000
0s - loss: 0.0079 - mse: 6.8732 - val_loss: 0.0114 - val_mse: 9.9216
Epoch 144/1000
0s - loss: 0.0079 - mse: 6.8764 - val_loss: 0.0114 - val_mse: 9.8883
Epoch 145/1000
0s - loss: 0.0079 - mse: 6.8656 - val_loss: 0.0113 - val_mse: 9.8428
Epoch 146/1000
0s - loss: 0.0078 - mse: 6.8262 - val_loss: 0.0113 - val_mse: 9.8033
Epoch 147/1000
0s - loss: 0.0078 - mse: 6.7773 - val_loss: 0.0112 - val_mse: 9.7922
Epoch 148/1000
0s - loss: 0.0077 - mse: 6.7447 - val_loss: 0.0113 - val_mse: 9.8072
Epoch 149/1000
0s - loss: 0.0077 - mse: 6.7320 - val_loss: 0.0113 - val_mse: 9.8221
Epoch 150/1000
0s - loss: 0.0077 - mse: 6.7199 - val_loss: 0.0113 - val_mse: 9.8164
Epoch 151/1000

Epoch 00150: reducing learning rate to 0.00240100002848.
0s - loss: 0.0077 - mse: 6.6925 - val_loss: 0.0112 - val_mse: 9.7935
Epoch 152/1000
0s - loss: 0.0076 - mse: 6.6548 - val_loss: 0.0112 - val_mse: 9.7766
Epoch 153/1000
0s - loss: 0.0076 - mse: 6.6315 - val_loss: 0.0112 - val_mse: 9.7649
Epoch 154/1000
0s - loss: 0.0076 - mse: 6.6160 - val_loss: 0.0112 - val_mse: 9.7585
Epoch 155/1000
0s - loss: 0.0076 - mse: 6.6069 - val_loss: 0.0112 - val_mse: 9.7525
Epoch 156/1000
0s - loss: 0.0076 - mse: 6.5982 - val_loss: 0.0112 - val_mse: 9.7418
Epoch 157/1000
0s - loss: 0.0076 - mse: 6.5848 - val_loss: 0.0112 - val_mse: 9.7260
Epoch 158/1000
0s - loss: 0.0075 - mse: 6.5662 - val_loss: 0.0111 - val_mse: 9.7080
Epoch 159/1000
0s - loss: 0.0075 - mse: 6.5462 - val_loss: 0.0111 - val_mse: 9.6913
Epoch 160/1000
0s - loss: 0.0075 - mse: 6.5292 - val_loss: 0.0111 - val_mse: 9.6766
Epoch 161/1000
0s - loss: 0.0075 - mse: 6.5165 - val_loss: 0.0111 - val_mse: 9.6616
Epoch 162/1000
0s - loss: 0.0075 - mse: 6.5062 - val_loss: 0.0111 - val_mse: 9.6433
Epoch 163/1000
0s - loss: 0.0075 - mse: 6.4951 - val_loss: 0.0110 - val_mse: 9.6211
Epoch 164/1000
0s - loss: 0.0074 - mse: 6.4814 - val_loss: 0.0110 - val_mse: 9.5971
Epoch 165/1000
0s - loss: 0.0074 - mse: 6.4659 - val_loss: 0.0110 - val_mse: 9.5751
Epoch 166/1000
0s - loss: 0.0074 - mse: 6.4507 - val_loss: 0.0110 - val_mse: 9.5582
Epoch 167/1000
0s - loss: 0.0074 - mse: 6.4375 - val_loss: 0.0110 - val_mse: 9.5472
Epoch 168/1000
0s - loss: 0.0074 - mse: 6.4258 - val_loss: 0.0110 - val_mse: 9.5408
Epoch 169/1000
0s - loss: 0.0074 - mse: 6.4143 - val_loss: 0.0110 - val_mse: 9.5374
Epoch 170/1000
0s - loss: 0.0074 - mse: 6.4018 - val_loss: 0.0110 - val_mse: 9.5361
Epoch 171/1000

Epoch 00170: reducing learning rate to 0.00168070008513.
0s - loss: 0.0073 - mse: 6.3882 - val_loss: 0.0110 - val_mse: 9.5361
Epoch 172/1000
0s - loss: 0.0073 - mse: 6.3748 - val_loss: 0.0110 - val_mse: 9.5363
Epoch 173/1000
0s - loss: 0.0073 - mse: 6.3659 - val_loss: 0.0110 - val_mse: 9.5360
Epoch 174/1000
0s - loss: 0.0073 - mse: 6.3576 - val_loss: 0.0109 - val_mse: 9.5343
Epoch 175/1000
0s - loss: 0.0073 - mse: 6.3496 - val_loss: 0.0109 - val_mse: 9.5305
Epoch 176/1000
0s - loss: 0.0073 - mse: 6.3416 - val_loss: 0.0109 - val_mse: 9.5242
Epoch 177/1000
0s - loss: 0.0073 - mse: 6.3334 - val_loss: 0.0109 - val_mse: 9.5155
Epoch 178/1000
0s - loss: 0.0073 - mse: 6.3250 - val_loss: 0.0109 - val_mse: 9.5047
Epoch 179/1000
0s - loss: 0.0073 - mse: 6.3163 - val_loss: 0.0109 - val_mse: 9.4927
Epoch 180/1000
0s - loss: 0.0072 - mse: 6.3078 - val_loss: 0.0109 - val_mse: 9.4803
Epoch 181/1000
0s - loss: 0.0072 - mse: 6.2996 - val_loss: 0.0109 - val_mse: 9.4682
Epoch 182/1000
0s - loss: 0.0072 - mse: 6.2917 - val_loss: 0.0109 - val_mse: 9.4570
Epoch 183/1000
0s - loss: 0.0072 - mse: 6.2840 - val_loss: 0.0108 - val_mse: 9.4468
Epoch 184/1000
0s - loss: 0.0072 - mse: 6.2763 - val_loss: 0.0108 - val_mse: 9.4378
Epoch 185/1000
0s - loss: 0.0072 - mse: 6.2684 - val_loss: 0.0108 - val_mse: 9.4301
Epoch 186/1000

Epoch 00185: reducing learning rate to 0.00117649007589.
0s - loss: 0.0072 - mse: 6.2605 - val_loss: 0.0108 - val_mse: 9.4236
Epoch 187/1000
0s - loss: 0.0072 - mse: 6.2525 - val_loss: 0.0108 - val_mse: 9.4198
Epoch 188/1000
0s - loss: 0.0072 - mse: 6.2469 - val_loss: 0.0108 - val_mse: 9.4166
Epoch 189/1000
0s - loss: 0.0072 - mse: 6.2414 - val_loss: 0.0108 - val_mse: 9.4136
Epoch 190/1000
0s - loss: 0.0072 - mse: 6.2360 - val_loss: 0.0108 - val_mse: 9.4109
Epoch 191/1000
0s - loss: 0.0072 - mse: 6.2307 - val_loss: 0.0108 - val_mse: 9.4080
Epoch 192/1000
0s - loss: 0.0071 - mse: 6.2254 - val_loss: 0.0108 - val_mse: 9.4050
Epoch 193/1000
0s - loss: 0.0071 - mse: 6.2201 - val_loss: 0.0108 - val_mse: 9.4016
Epoch 194/1000
0s - loss: 0.0071 - mse: 6.2148 - val_loss: 0.0108 - val_mse: 9.3979
Epoch 195/1000
0s - loss: 0.0071 - mse: 6.2095 - val_loss: 0.0108 - val_mse: 9.3938
Epoch 196/1000
0s - loss: 0.0071 - mse: 6.2042 - val_loss: 0.0108 - val_mse: 9.3892
Epoch 197/1000
0s - loss: 0.0071 - mse: 6.1989 - val_loss: 0.0108 - val_mse: 9.3844
Epoch 198/1000
0s - loss: 0.0071 - mse: 6.1936 - val_loss: 0.0108 - val_mse: 9.3793
Epoch 199/1000
0s - loss: 0.0071 - mse: 6.1884 - val_loss: 0.0108 - val_mse: 9.3741
Epoch 200/1000
0s - loss: 0.0071 - mse: 6.1832 - val_loss: 0.0108 - val_mse: 9.3688
Epoch 201/1000
0s - loss: 0.0071 - mse: 6.1780 - val_loss: 0.0108 - val_mse: 9.3635
Epoch 202/1000
0s - loss: 0.0071 - mse: 6.1729 - val_loss: 0.0107 - val_mse: 9.3582
Epoch 203/1000

Epoch 00202: reducing learning rate to 0.000823543069419.
0s - loss: 0.0071 - mse: 6.1677 - val_loss: 0.0107 - val_mse: 9.3531
Epoch 204/1000
0s - loss: 0.0071 - mse: 6.1626 - val_loss: 0.0107 - val_mse: 9.3495
Epoch 205/1000
0s - loss: 0.0071 - mse: 6.1590 - val_loss: 0.0107 - val_mse: 9.3461
Epoch 206/1000
0s - loss: 0.0071 - mse: 6.1554 - val_loss: 0.0107 - val_mse: 9.3427
Epoch 207/1000
0s - loss: 0.0071 - mse: 6.1519 - val_loss: 0.0107 - val_mse: 9.3395
Epoch 208/1000
0s - loss: 0.0071 - mse: 6.1483 - val_loss: 0.0107 - val_mse: 9.3363
Epoch 209/1000
0s - loss: 0.0071 - mse: 6.1448 - val_loss: 0.0107 - val_mse: 9.3332
Epoch 210/1000
0s - loss: 0.0071 - mse: 6.1413 - val_loss: 0.0107 - val_mse: 9.3301
Epoch 211/1000
0s - loss: 0.0070 - mse: 6.1378 - val_loss: 0.0107 - val_mse: 9.3270
Epoch 212/1000
0s - loss: 0.0070 - mse: 6.1343 - val_loss: 0.0107 - val_mse: 9.3239
Epoch 213/1000
0s - loss: 0.0070 - mse: 6.1308 - val_loss: 0.0107 - val_mse: 9.3208
Epoch 214/1000
0s - loss: 0.0070 - mse: 6.1273 - val_loss: 0.0107 - val_mse: 9.3178
Epoch 215/1000
0s - loss: 0.0070 - mse: 6.1238 - val_loss: 0.0107 - val_mse: 9.3148
Epoch 216/1000
0s - loss: 0.0070 - mse: 6.1203 - val_loss: 0.0107 - val_mse: 9.3118
Epoch 217/1000

Epoch 00216: reducing learning rate to 0.000576480140444.
0s - loss: 0.0070 - mse: 6.1169 - val_loss: 0.0107 - val_mse: 9.3088
Epoch 218/1000
0s - loss: 0.0070 - mse: 6.1134 - val_loss: 0.0107 - val_mse: 9.3067
Epoch 219/1000
0s - loss: 0.0070 - mse: 6.1110 - val_loss: 0.0107 - val_mse: 9.3045
Epoch 220/1000
0s - loss: 0.0070 - mse: 6.1086 - val_loss: 0.0107 - val_mse: 9.3022
Epoch 221/1000
0s - loss: 0.0070 - mse: 6.1062 - val_loss: 0.0107 - val_mse: 9.2999
Epoch 222/1000
0s - loss: 0.0070 - mse: 6.1038 - val_loss: 0.0107 - val_mse: 9.2976
Epoch 223/1000
0s - loss: 0.0070 - mse: 6.1014 - val_loss: 0.0107 - val_mse: 9.2952
Epoch 224/1000
0s - loss: 0.0070 - mse: 6.0990 - val_loss: 0.0107 - val_mse: 9.2929
Epoch 225/1000
0s - loss: 0.0070 - mse: 6.0966 - val_loss: 0.0107 - val_mse: 9.2906
Epoch 226/1000
0s - loss: 0.0070 - mse: 6.0942 - val_loss: 0.0107 - val_mse: 9.2883
Epoch 227/1000
0s - loss: 0.0070 - mse: 6.0918 - val_loss: 0.0107 - val_mse: 9.2859
Epoch 228/1000
0s - loss: 0.0070 - mse: 6.0894 - val_loss: 0.0107 - val_mse: 9.2835
Epoch 229/1000
0s - loss: 0.0070 - mse: 6.0870 - val_loss: 0.0107 - val_mse: 9.2811
Epoch 230/1000
0s - loss: 0.0070 - mse: 6.0847 - val_loss: 0.0107 - val_mse: 9.2788
Epoch 231/1000

Epoch 00230: reducing learning rate to 0.000403536082013.
0s - loss: 0.0070 - mse: 6.0823 - val_loss: 0.0107 - val_mse: 9.2764
Epoch 232/1000
0s - loss: 0.0070 - mse: 6.0799 - val_loss: 0.0107 - val_mse: 9.2747
Epoch 233/1000
0s - loss: 0.0070 - mse: 6.0783 - val_loss: 0.0106 - val_mse: 9.2731
Epoch 234/1000
0s - loss: 0.0070 - mse: 6.0766 - val_loss: 0.0106 - val_mse: 9.2714
Epoch 235/1000
0s - loss: 0.0070 - mse: 6.0750 - val_loss: 0.0106 - val_mse: 9.2697
Epoch 236/1000
0s - loss: 0.0070 - mse: 6.0733 - val_loss: 0.0106 - val_mse: 9.2681
Epoch 237/1000
0s - loss: 0.0070 - mse: 6.0717 - val_loss: 0.0106 - val_mse: 9.2664
Epoch 238/1000
0s - loss: 0.0070 - mse: 6.0700 - val_loss: 0.0106 - val_mse: 9.2648
Epoch 239/1000
0s - loss: 0.0070 - mse: 6.0684 - val_loss: 0.0106 - val_mse: 9.2632
Epoch 240/1000
0s - loss: 0.0070 - mse: 6.0668 - val_loss: 0.0106 - val_mse: 9.2616
Epoch 241/1000
0s - loss: 0.0070 - mse: 6.0651 - val_loss: 0.0106 - val_mse: 9.2599
Epoch 242/1000
0s - loss: 0.0070 - mse: 6.0635 - val_loss: 0.0106 - val_mse: 9.2583
Epoch 243/1000
0s - loss: 0.0070 - mse: 6.0619 - val_loss: 0.0106 - val_mse: 9.2567
Epoch 244/1000
0s - loss: 0.0070 - mse: 6.0602 - val_loss: 0.0106 - val_mse: 9.2551
Epoch 245/1000

Epoch 00244: reducing learning rate to 0.000282475253334.
0s - loss: 0.0070 - mse: 6.0586 - val_loss: 0.0106 - val_mse: 9.2535
Epoch 246/1000
0s - loss: 0.0070 - mse: 6.0570 - val_loss: 0.0106 - val_mse: 9.2524
Epoch 247/1000
0s - loss: 0.0070 - mse: 6.0559 - val_loss: 0.0106 - val_mse: 9.2512
Epoch 248/1000
0s - loss: 0.0070 - mse: 6.0547 - val_loss: 0.0106 - val_mse: 9.2501
Epoch 249/1000
0s - loss: 0.0070 - mse: 6.0536 - val_loss: 0.0106 - val_mse: 9.2489
Epoch 250/1000
0s - loss: 0.0070 - mse: 6.0525 - val_loss: 0.0106 - val_mse: 9.2478
Epoch 251/1000
0s - loss: 0.0069 - mse: 6.0513 - val_loss: 0.0106 - val_mse: 9.2466
Epoch 252/1000
0s - loss: 0.0069 - mse: 6.0502 - val_loss: 0.0106 - val_mse: 9.2454
Epoch 253/1000
0s - loss: 0.0069 - mse: 6.0491 - val_loss: 0.0106 - val_mse: 9.2442
Epoch 254/1000
0s - loss: 0.0069 - mse: 6.0479 - val_loss: 0.0106 - val_mse: 9.2430
Epoch 255/1000
0s - loss: 0.0069 - mse: 6.0468 - val_loss: 0.0106 - val_mse: 9.2418
Epoch 256/1000
0s - loss: 0.0069 - mse: 6.0457 - val_loss: 0.0106 - val_mse: 9.2406
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_63 (LSTM)               (None, None, 410)         677320    
_________________________________________________________________
time_distributed_60 (TimeDis (None, None, 1)           411       
=================================================================
Total params: 677,731
Trainable params: 677,731
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 1.1006 - mse: 958.4122 - val_loss: 2.3375 - val_mse: 2035.6252
Epoch 2/1000
0s - loss: 2.4132 - mse: 2101.4675 - val_loss: 0.8951 - val_mse: 779.5086
Epoch 3/1000
0s - loss: 0.8461 - mse: 736.8291 - val_loss: 4.0227 - val_mse: 3503.1533
Epoch 4/1000
0s - loss: 4.0086 - mse: 3490.8865 - val_loss: 36.8235 - val_mse: 32067.3438
Epoch 5/1000
0s - loss: 36.5487 - mse: 31828.0000 - val_loss: 16.9065 - val_mse: 14722.8115
Epoch 6/1000
0s - loss: 16.8125 - mse: 14641.0000 - val_loss: 3.6342 - val_mse: 3164.7866
Epoch 7/1000

Epoch 00006: reducing learning rate to 0.00699999984354.
4s - loss: 3.6041 - mse: 3138.6069 - val_loss: 1.3419 - val_mse: 1168.6183
Epoch 8/1000
0s - loss: 1.3018 - mse: 1133.6401 - val_loss: 2.2022 - val_mse: 1917.7869
Epoch 9/1000
0s - loss: 2.1627 - mse: 1883.3838 - val_loss: 3.0337 - val_mse: 2641.8533
Epoch 10/1000
0s - loss: 2.9914 - mse: 2605.0496 - val_loss: 3.0475 - val_mse: 2653.9065
Epoch 11/1000
0s - loss: 3.0072 - mse: 2618.7988 - val_loss: 2.4855 - val_mse: 2164.4668
Epoch 12/1000
0s - loss: 2.4471 - mse: 2131.0718 - val_loss: 1.7448 - val_mse: 1519.4222
Epoch 13/1000
0s - loss: 1.7084 - mse: 1487.7103 - val_loss: 1.1877 - val_mse: 1034.3383
Epoch 14/1000
0s - loss: 1.1519 - mse: 1003.1459 - val_loss: 0.9550 - val_mse: 831.6653
Epoch 15/1000
0s - loss: 0.9189 - mse: 800.2324 - val_loss: 1.0340 - val_mse: 900.4411
Epoch 16/1000
0s - loss: 0.9963 - mse: 867.6051 - val_loss: 1.1701 - val_mse: 1018.9464
Epoch 17/1000
0s - loss: 1.1310 - mse: 984.9281 - val_loss: 1.2208 - val_mse: 1063.1036
Epoch 18/1000
0s - loss: 1.1811 - mse: 1028.5531 - val_loss: 1.1691 - val_mse: 1018.1335
Epoch 19/1000
0s - loss: 1.1295 - mse: 983.6422 - val_loss: 1.0646 - val_mse: 927.1246
Epoch 20/1000
0s - loss: 1.0253 - mse: 892.9117 - val_loss: 0.9582 - val_mse: 834.4328
Epoch 21/1000

Epoch 00020: reducing learning rate to 0.00489999982528.
0s - loss: 0.9191 - mse: 800.3691 - val_loss: 0.8977 - val_mse: 781.7936
Epoch 22/1000
0s - loss: 0.8593 - mse: 748.3133 - val_loss: 0.8923 - val_mse: 777.0812
Epoch 23/1000
0s - loss: 0.8541 - mse: 743.7648 - val_loss: 0.9052 - val_mse: 788.2512
Epoch 24/1000
0s - loss: 0.8666 - mse: 754.6543 - val_loss: 0.9187 - val_mse: 800.0731
Epoch 25/1000
0s - loss: 0.8814 - mse: 767.5675 - val_loss: 0.9224 - val_mse: 803.2388
Epoch 26/1000
0s - loss: 0.8847 - mse: 770.4394 - val_loss: 0.9138 - val_mse: 795.8054
Epoch 27/1000
0s - loss: 0.8761 - mse: 762.9713 - val_loss: 0.8974 - val_mse: 781.5170
Epoch 28/1000
0s - loss: 0.8602 - mse: 749.1096 - val_loss: 0.8741 - val_mse: 761.2253
Epoch 29/1000
0s - loss: 0.8368 - mse: 728.7306 - val_loss: 0.8560 - val_mse: 745.4622
Epoch 30/1000
0s - loss: 0.8186 - mse: 712.8535 - val_loss: 0.8509 - val_mse: 741.0015
Epoch 31/1000
0s - loss: 0.8130 - mse: 708.0076 - val_loss: 0.8515 - val_mse: 741.4895
Epoch 32/1000
0s - loss: 0.8138 - mse: 708.7024 - val_loss: 0.8470 - val_mse: 737.5798
Epoch 33/1000
0s - loss: 0.8092 - mse: 704.7196 - val_loss: 0.8373 - val_mse: 729.1829
Epoch 34/1000
0s - loss: 0.7995 - mse: 696.2567 - val_loss: 0.8253 - val_mse: 718.6602
Epoch 35/1000
0s - loss: 0.7878 - mse: 686.0153 - val_loss: 0.8097 - val_mse: 705.1255
Epoch 36/1000
0s - loss: 0.7725 - mse: 672.7638 - val_loss: 0.7942 - val_mse: 691.6073
Epoch 37/1000
0s - loss: 0.7573 - mse: 659.4495 - val_loss: 0.7832 - val_mse: 682.0322
Epoch 38/1000
0s - loss: 0.7463 - mse: 649.9368 - val_loss: 0.7773 - val_mse: 676.8800
Epoch 39/1000
0s - loss: 0.7405 - mse: 644.8490 - val_loss: 0.7665 - val_mse: 667.4739
Epoch 40/1000
0s - loss: 0.7299 - mse: 635.6636 - val_loss: 0.7442 - val_mse: 648.0978
Epoch 41/1000
0s - loss: 0.7079 - mse: 616.5047 - val_loss: 0.7175 - val_mse: 624.8403
Epoch 42/1000
0s - loss: 0.6811 - mse: 593.1638 - val_loss: 0.7047 - val_mse: 613.6486
Epoch 43/1000
0s - loss: 0.6677 - mse: 581.4871 - val_loss: 0.6886 - val_mse: 599.6600
Epoch 44/1000
0s - loss: 0.6512 - mse: 567.0562 - val_loss: 0.6681 - val_mse: 581.8247
Epoch 45/1000
0s - loss: 0.6307 - mse: 549.1946 - val_loss: 0.6520 - val_mse: 567.8051
Epoch 46/1000
0s - loss: 0.6139 - mse: 534.5876 - val_loss: 0.6290 - val_mse: 547.7825
Epoch 47/1000
0s - loss: 0.5912 - mse: 514.8054 - val_loss: 0.6044 - val_mse: 526.3656
Epoch 48/1000
0s - loss: 0.5678 - mse: 494.4255 - val_loss: 0.5927 - val_mse: 516.1829
Epoch 49/1000
0s - loss: 0.5566 - mse: 484.6828 - val_loss: 0.5665 - val_mse: 493.3150
Epoch 50/1000
0s - loss: 0.5302 - mse: 461.6938 - val_loss: 0.5546 - val_mse: 482.9259
Epoch 51/1000
0s - loss: 0.5178 - mse: 450.9179 - val_loss: 0.5341 - val_mse: 465.1078
Epoch 52/1000
0s - loss: 0.4977 - mse: 433.4292 - val_loss: 0.5175 - val_mse: 450.6293
Epoch 53/1000
0s - loss: 0.4823 - mse: 419.9793 - val_loss: 0.5022 - val_mse: 437.3299
Epoch 54/1000
0s - loss: 0.4675 - mse: 407.0965 - val_loss: 0.4870 - val_mse: 424.0975
Epoch 55/1000
0s - loss: 0.4515 - mse: 393.1881 - val_loss: 0.4741 - val_mse: 412.8338
Epoch 56/1000
0s - loss: 0.4389 - mse: 382.2155 - val_loss: 0.4561 - val_mse: 397.2016
Epoch 57/1000
0s - loss: 0.4228 - mse: 368.1754 - val_loss: 0.4442 - val_mse: 386.8565
Epoch 58/1000
0s - loss: 0.4119 - mse: 358.6962 - val_loss: 0.4300 - val_mse: 374.4708
Epoch 59/1000
0s - loss: 0.3974 - mse: 346.0506 - val_loss: 0.4193 - val_mse: 365.0998
Epoch 60/1000
0s - loss: 0.3871 - mse: 337.1168 - val_loss: 0.4033 - val_mse: 351.2529
Epoch 61/1000
0s - loss: 0.3728 - mse: 324.6758 - val_loss: 0.3940 - val_mse: 343.0948
Epoch 62/1000
0s - loss: 0.3646 - mse: 317.5195 - val_loss: 0.3808 - val_mse: 331.6472
Epoch 63/1000
0s - loss: 0.3514 - mse: 305.9784 - val_loss: 0.3735 - val_mse: 325.2219
Epoch 64/1000
0s - loss: 0.3440 - mse: 299.6058 - val_loss: 0.3606 - val_mse: 314.0447
Epoch 65/1000
0s - loss: 0.3324 - mse: 289.4518 - val_loss: 0.3527 - val_mse: 307.1436
Epoch 66/1000
0s - loss: 0.3258 - mse: 283.6809 - val_loss: 0.3427 - val_mse: 298.4740
Epoch 67/1000
0s - loss: 0.3160 - mse: 275.1782 - val_loss: 0.3367 - val_mse: 293.1721
Epoch 68/1000
0s - loss: 0.3098 - mse: 269.7773 - val_loss: 0.3277 - val_mse: 285.4164
Epoch 69/1000
0s - loss: 0.3017 - mse: 262.7401 - val_loss: 0.3203 - val_mse: 278.8973
Epoch 70/1000
0s - loss: 0.2955 - mse: 257.3346 - val_loss: 0.3129 - val_mse: 272.4930
Epoch 71/1000
0s - loss: 0.2886 - mse: 251.3228 - val_loss: 0.3068 - val_mse: 267.1794
Epoch 72/1000
0s - loss: 0.2823 - mse: 245.8759 - val_loss: 0.3004 - val_mse: 261.6218
Epoch 73/1000
0s - loss: 0.2764 - mse: 240.7211 - val_loss: 0.2932 - val_mse: 255.3226
Epoch 74/1000
0s - loss: 0.2703 - mse: 235.3714 - val_loss: 0.2874 - val_mse: 250.3213
Epoch 75/1000
0s - loss: 0.2652 - mse: 230.9266 - val_loss: 0.2815 - val_mse: 245.1229
Epoch 76/1000
0s - loss: 0.2591 - mse: 225.6732 - val_loss: 0.2766 - val_mse: 240.8372
Epoch 77/1000
0s - loss: 0.2544 - mse: 221.5563 - val_loss: 0.2698 - val_mse: 234.9689
Epoch 78/1000
0s - loss: 0.2485 - mse: 216.4300 - val_loss: 0.2644 - val_mse: 230.2860
Epoch 79/1000
0s - loss: 0.2439 - mse: 212.4123 - val_loss: 0.2586 - val_mse: 225.2319
Epoch 80/1000
0s - loss: 0.2382 - mse: 207.4505 - val_loss: 0.2539 - val_mse: 221.0763
Epoch 81/1000
0s - loss: 0.2335 - mse: 203.3528 - val_loss: 0.2477 - val_mse: 215.6824
Epoch 82/1000
0s - loss: 0.2280 - mse: 198.5198 - val_loss: 0.2421 - val_mse: 210.8149
Epoch 83/1000
0s - loss: 0.2231 - mse: 194.3210 - val_loss: 0.2364 - val_mse: 205.8597
Epoch 84/1000
0s - loss: 0.2177 - mse: 189.5389 - val_loss: 0.2314 - val_mse: 201.5273
Epoch 85/1000
0s - loss: 0.2127 - mse: 185.2216 - val_loss: 0.2254 - val_mse: 196.3206
Epoch 86/1000
0s - loss: 0.2072 - mse: 180.4391 - val_loss: 0.2198 - val_mse: 191.3919
Epoch 87/1000
0s - loss: 0.2022 - mse: 176.0497 - val_loss: 0.2142 - val_mse: 186.5120
Epoch 88/1000
0s - loss: 0.1967 - mse: 171.2797 - val_loss: 0.2091 - val_mse: 182.0999
Epoch 89/1000
0s - loss: 0.1917 - mse: 166.9059 - val_loss: 0.2032 - val_mse: 176.9374
Epoch 90/1000
0s - loss: 0.1862 - mse: 162.1788 - val_loss: 0.1977 - val_mse: 172.1427
Epoch 91/1000
0s - loss: 0.1812 - mse: 157.7954 - val_loss: 0.1923 - val_mse: 167.4554
Epoch 92/1000
0s - loss: 0.1758 - mse: 153.0898 - val_loss: 0.1868 - val_mse: 162.7028
Epoch 93/1000
0s - loss: 0.1705 - mse: 148.4806 - val_loss: 0.1810 - val_mse: 157.6251
Epoch 94/1000
0s - loss: 0.1652 - mse: 143.8332 - val_loss: 0.1755 - val_mse: 152.8575
Epoch 95/1000
0s - loss: 0.1595 - mse: 138.8856 - val_loss: 0.1700 - val_mse: 148.0784
Epoch 96/1000
0s - loss: 0.1539 - mse: 134.0498 - val_loss: 0.1650 - val_mse: 143.6826
Epoch 97/1000
0s - loss: 0.1493 - mse: 130.0057 - val_loss: 0.1676 - val_mse: 145.9535
Epoch 98/1000
0s - loss: 0.1507 - mse: 131.2679 - val_loss: 0.1981 - val_mse: 172.5337
Epoch 99/1000
0s - loss: 0.1868 - mse: 162.6363 - val_loss: 0.2570 - val_mse: 223.7771
Epoch 100/1000
0s - loss: 0.2390 - mse: 208.0996 - val_loss: 0.1609 - val_mse: 140.1088
Epoch 101/1000
0s - loss: 0.1445 - mse: 125.8042 - val_loss: 0.2559 - val_mse: 222.8724
Epoch 102/1000
0s - loss: 0.2470 - mse: 215.1170 - val_loss: 0.1533 - val_mse: 133.5398
Epoch 103/1000
0s - loss: 0.1381 - mse: 120.2908 - val_loss: 0.2197 - val_mse: 191.3598
Epoch 104/1000
0s - loss: 0.2032 - mse: 176.9440 - val_loss: 0.1700 - val_mse: 148.0649
Epoch 105/1000
0s - loss: 0.1545 - mse: 134.5783 - val_loss: 0.1659 - val_mse: 144.5102
Epoch 106/1000
0s - loss: 0.1541 - mse: 134.1719 - val_loss: 0.1860 - val_mse: 161.9886
Epoch 107/1000
0s - loss: 0.1753 - mse: 152.6478 - val_loss: 0.1441 - val_mse: 125.5191
Epoch 108/1000
0s - loss: 0.1307 - mse: 113.7958 - val_loss: 0.1736 - val_mse: 151.1822
Epoch 109/1000
0s - loss: 0.1577 - mse: 137.3672 - val_loss: 0.1630 - val_mse: 141.9503
Epoch 110/1000
0s - loss: 0.1472 - mse: 128.1824 - val_loss: 0.1368 - val_mse: 119.1123
Epoch 111/1000
0s - loss: 0.1234 - mse: 107.4867 - val_loss: 0.1580 - val_mse: 137.5871
Epoch 112/1000
0s - loss: 0.1468 - mse: 127.8512 - val_loss: 0.1374 - val_mse: 119.6718
Epoch 113/1000
0s - loss: 0.1244 - mse: 108.3681 - val_loss: 0.1398 - val_mse: 121.7315
Epoch 114/1000
0s - loss: 0.1232 - mse: 107.2633 - val_loss: 0.1524 - val_mse: 132.6823
Epoch 115/1000
0s - loss: 0.1344 - mse: 117.0469 - val_loss: 0.1314 - val_mse: 114.4588
Epoch 116/1000
0s - loss: 0.1151 - mse: 100.1929 - val_loss: 0.1364 - val_mse: 118.7691
Epoch 117/1000
0s - loss: 0.1231 - mse: 107.2116 - val_loss: 0.1361 - val_mse: 118.5579
Epoch 118/1000
0s - loss: 0.1230 - mse: 107.0989 - val_loss: 0.1273 - val_mse: 110.8145
Epoch 119/1000
0s - loss: 0.1111 - mse: 96.7145 - val_loss: 0.1391 - val_mse: 121.1702
Epoch 120/1000
0s - loss: 0.1211 - mse: 105.4697 - val_loss: 0.1300 - val_mse: 113.1983
Epoch 121/1000
0s - loss: 0.1129 - mse: 98.3437 - val_loss: 0.1236 - val_mse: 107.6360
Epoch 122/1000
1s - loss: 0.1095 - mse: 95.3588 - val_loss: 0.1278 - val_mse: 111.2735
Epoch 123/1000
0s - loss: 0.1152 - mse: 100.2851 - val_loss: 0.1199 - val_mse: 104.4302
Epoch 124/1000
0s - loss: 0.1056 - mse: 91.9731 - val_loss: 0.1247 - val_mse: 108.6123
Epoch 125/1000
0s - loss: 0.1084 - mse: 94.4236 - val_loss: 0.1245 - val_mse: 108.4060
Epoch 126/1000
0s - loss: 0.1082 - mse: 94.2296 - val_loss: 0.1165 - val_mse: 101.4705
Epoch 127/1000
0s - loss: 0.1021 - mse: 88.9226 - val_loss: 0.1187 - val_mse: 103.3527
Epoch 128/1000
0s - loss: 0.1060 - mse: 92.3049 - val_loss: 0.1156 - val_mse: 100.7054
Epoch 129/1000
0s - loss: 0.1024 - mse: 89.2048 - val_loss: 0.1152 - val_mse: 100.3582
Epoch 130/1000
0s - loss: 0.1003 - mse: 87.3874 - val_loss: 0.1180 - val_mse: 102.7997
Epoch 131/1000
0s - loss: 0.1025 - mse: 89.2828 - val_loss: 0.1127 - val_mse: 98.1423
Epoch 132/1000
0s - loss: 0.0982 - mse: 85.5226 - val_loss: 0.1117 - val_mse: 97.2801
Epoch 133/1000
0s - loss: 0.0989 - mse: 86.0865 - val_loss: 0.1110 - val_mse: 96.6816
Epoch 134/1000
0s - loss: 0.0984 - mse: 85.7010 - val_loss: 0.1093 - val_mse: 95.1529
Epoch 135/1000
0s - loss: 0.0954 - mse: 83.0963 - val_loss: 0.1116 - val_mse: 97.1922
Epoch 136/1000
0s - loss: 0.0970 - mse: 84.4378 - val_loss: 0.1084 - val_mse: 94.4373
Epoch 137/1000
0s - loss: 0.0945 - mse: 82.2548 - val_loss: 0.1067 - val_mse: 92.9349
Epoch 138/1000
0s - loss: 0.0941 - mse: 81.9695 - val_loss: 0.1065 - val_mse: 92.7298
Epoch 139/1000
0s - loss: 0.0942 - mse: 82.0410 - val_loss: 0.1055 - val_mse: 91.8735
Epoch 140/1000
0s - loss: 0.0921 - mse: 80.2418 - val_loss: 0.1072 - val_mse: 93.3946
Epoch 141/1000
0s - loss: 0.0931 - mse: 81.0810 - val_loss: 0.1051 - val_mse: 91.5283
Epoch 142/1000
1s - loss: 0.0915 - mse: 79.6422 - val_loss: 0.1039 - val_mse: 90.5109
Epoch 143/1000
0s - loss: 0.0914 - mse: 79.5696 - val_loss: 0.1036 - val_mse: 90.2079
Epoch 144/1000
0s - loss: 0.0911 - mse: 79.3171 - val_loss: 0.1034 - val_mse: 90.0710
Epoch 145/1000
1s - loss: 0.0899 - mse: 78.2958 - val_loss: 0.1043 - val_mse: 90.8606
Epoch 146/1000
0s - loss: 0.0903 - mse: 78.6662 - val_loss: 0.1023 - val_mse: 89.0796
Epoch 147/1000
1s - loss: 0.0889 - mse: 77.4329 - val_loss: 0.1018 - val_mse: 88.6114
Epoch 148/1000
0s - loss: 0.0892 - mse: 77.6482 - val_loss: 0.1011 - val_mse: 88.0009
Epoch 149/1000
0s - loss: 0.0882 - mse: 76.7703 - val_loss: 0.1016 - val_mse: 88.4378
Epoch 150/1000
0s - loss: 0.0879 - mse: 76.5696 - val_loss: 0.1010 - val_mse: 87.9347
Epoch 151/1000
0s - loss: 0.0874 - mse: 76.1353 - val_loss: 0.0996 - val_mse: 86.7013
Epoch 152/1000
0s - loss: 0.0868 - mse: 75.5657 - val_loss: 0.0991 - val_mse: 86.3436
Epoch 153/1000
0s - loss: 0.0866 - mse: 75.4313 - val_loss: 0.0989 - val_mse: 86.1123
Epoch 154/1000
0s - loss: 0.0858 - mse: 74.7301 - val_loss: 0.0990 - val_mse: 86.2507
Epoch 155/1000
0s - loss: 0.0858 - mse: 74.7079 - val_loss: 0.0978 - val_mse: 85.1289
Epoch 156/1000
1s - loss: 0.0850 - mse: 74.0182 - val_loss: 0.0973 - val_mse: 84.7242
Epoch 157/1000
0s - loss: 0.0850 - mse: 74.0094 - val_loss: 0.0969 - val_mse: 84.3429
Epoch 158/1000
0s - loss: 0.0843 - mse: 73.4051 - val_loss: 0.0970 - val_mse: 84.5093
Epoch 159/1000
0s - loss: 0.0842 - mse: 73.3317 - val_loss: 0.0962 - val_mse: 83.7665
Epoch 160/1000
0s - loss: 0.0836 - mse: 72.8277 - val_loss: 0.0956 - val_mse: 83.2192
Epoch 161/1000
0s - loss: 0.0835 - mse: 72.6757 - val_loss: 0.0951 - val_mse: 82.8598
Epoch 162/1000
0s - loss: 0.0830 - mse: 72.2444 - val_loss: 0.0952 - val_mse: 82.8981
Epoch 163/1000
0s - loss: 0.0827 - mse: 72.0360 - val_loss: 0.0946 - val_mse: 82.3953
Epoch 164/1000
0s - loss: 0.0823 - mse: 71.6612 - val_loss: 0.0939 - val_mse: 81.8075
Epoch 165/1000
0s - loss: 0.0820 - mse: 71.4194 - val_loss: 0.0936 - val_mse: 81.4763
Epoch 166/1000
0s - loss: 0.0816 - mse: 71.0700 - val_loss: 0.0935 - val_mse: 81.4425
Epoch 167/1000
0s - loss: 0.0813 - mse: 70.8178 - val_loss: 0.0930 - val_mse: 81.0132
Epoch 168/1000
0s - loss: 0.0809 - mse: 70.4865 - val_loss: 0.0924 - val_mse: 80.4694
Epoch 169/1000
0s - loss: 0.0807 - mse: 70.2379 - val_loss: 0.0920 - val_mse: 80.1596
Epoch 170/1000
0s - loss: 0.0803 - mse: 69.9145 - val_loss: 0.0920 - val_mse: 80.0931
Epoch 171/1000
1s - loss: 0.0800 - mse: 69.6770 - val_loss: 0.0915 - val_mse: 79.6534
Epoch 172/1000
0s - loss: 0.0796 - mse: 69.3583 - val_loss: 0.0909 - val_mse: 79.1688
Epoch 173/1000
0s - loss: 0.0794 - mse: 69.1303 - val_loss: 0.0906 - val_mse: 78.8871
Epoch 174/1000
0s - loss: 0.0790 - mse: 68.8137 - val_loss: 0.0905 - val_mse: 78.7805
Epoch 175/1000
0s - loss: 0.0788 - mse: 68.5915 - val_loss: 0.0899 - val_mse: 78.3134
Epoch 176/1000
0s - loss: 0.0784 - mse: 68.2771 - val_loss: 0.0894 - val_mse: 77.8917
Epoch 177/1000
0s - loss: 0.0782 - mse: 68.0580 - val_loss: 0.0892 - val_mse: 77.6581
Epoch 178/1000
0s - loss: 0.0778 - mse: 67.7488 - val_loss: 0.0890 - val_mse: 77.4849
Epoch 179/1000
0s - loss: 0.0775 - mse: 67.5273 - val_loss: 0.0884 - val_mse: 77.0051
Epoch 180/1000
0s - loss: 0.0772 - mse: 67.2371 - val_loss: 0.0880 - val_mse: 76.6635
Epoch 181/1000
0s - loss: 0.0769 - mse: 67.0066 - val_loss: 0.0878 - val_mse: 76.4891
Epoch 182/1000
0s - loss: 0.0766 - mse: 66.7402 - val_loss: 0.0875 - val_mse: 76.2182
Epoch 183/1000
0s - loss: 0.0764 - mse: 66.5004 - val_loss: 0.0870 - val_mse: 75.7910
Epoch 184/1000
0s - loss: 0.0761 - mse: 66.2548 - val_loss: 0.0867 - val_mse: 75.5233
Epoch 185/1000
0s - loss: 0.0758 - mse: 66.0031 - val_loss: 0.0865 - val_mse: 75.3677
Epoch 186/1000
0s - loss: 0.0755 - mse: 65.7802 - val_loss: 0.0861 - val_mse: 74.9978
Epoch 187/1000
0s - loss: 0.0752 - mse: 65.5283 - val_loss: 0.0858 - val_mse: 74.6747
Epoch 188/1000
0s - loss: 0.0750 - mse: 65.3132 - val_loss: 0.0855 - val_mse: 74.4883
Epoch 189/1000
0s - loss: 0.0747 - mse: 65.0750 - val_loss: 0.0853 - val_mse: 74.2446
Epoch 190/1000
0s - loss: 0.0745 - mse: 64.8583 - val_loss: 0.0849 - val_mse: 73.8940
Epoch 191/1000
0s - loss: 0.0742 - mse: 64.6424 - val_loss: 0.0846 - val_mse: 73.6683
Epoch 192/1000
0s - loss: 0.0740 - mse: 64.4183 - val_loss: 0.0844 - val_mse: 73.5039
Epoch 193/1000
0s - loss: 0.0737 - mse: 64.2131 - val_loss: 0.0840 - val_mse: 73.1874
Epoch 194/1000
0s - loss: 0.0735 - mse: 63.9902 - val_loss: 0.0837 - val_mse: 72.9164
Epoch 195/1000
0s - loss: 0.0732 - mse: 63.7857 - val_loss: 0.0835 - val_mse: 72.7549
Epoch 196/1000
0s - loss: 0.0730 - mse: 63.5734 - val_loss: 0.0833 - val_mse: 72.5086
Epoch 197/1000
0s - loss: 0.0728 - mse: 63.3657 - val_loss: 0.0829 - val_mse: 72.2227
Epoch 198/1000
0s - loss: 0.0725 - mse: 63.1686 - val_loss: 0.0827 - val_mse: 72.0437
Epoch 199/1000
0s - loss: 0.0723 - mse: 62.9610 - val_loss: 0.0825 - val_mse: 71.8507
Epoch 200/1000
0s - loss: 0.0721 - mse: 62.7655 - val_loss: 0.0822 - val_mse: 71.5684
Epoch 201/1000
0s - loss: 0.0718 - mse: 62.5683 - val_loss: 0.0820 - val_mse: 71.3763
Epoch 202/1000
0s - loss: 0.0716 - mse: 62.3712 - val_loss: 0.0818 - val_mse: 71.2054
Epoch 203/1000
0s - loss: 0.0714 - mse: 62.1846 - val_loss: 0.0815 - val_mse: 70.9404
Epoch 204/1000
0s - loss: 0.0712 - mse: 61.9944 - val_loss: 0.0812 - val_mse: 70.7325
Epoch 205/1000
0s - loss: 0.0710 - mse: 61.8085 - val_loss: 0.0810 - val_mse: 70.5712
Epoch 206/1000
0s - loss: 0.0708 - mse: 61.6278 - val_loss: 0.0807 - val_mse: 70.3185
Epoch 207/1000
0s - loss: 0.0706 - mse: 61.4438 - val_loss: 0.0805 - val_mse: 70.1063
Epoch 208/1000
0s - loss: 0.0704 - mse: 61.2644 - val_loss: 0.0803 - val_mse: 69.9423
Epoch 209/1000
0s - loss: 0.0701 - mse: 61.0879 - val_loss: 0.0800 - val_mse: 69.7053
Epoch 210/1000
0s - loss: 0.0699 - mse: 60.9121 - val_loss: 0.0798 - val_mse: 69.5042
Epoch 211/1000
0s - loss: 0.0698 - mse: 60.7420 - val_loss: 0.0796 - val_mse: 69.3543
Epoch 212/1000
0s - loss: 0.0696 - mse: 60.5737 - val_loss: 0.0794 - val_mse: 69.1229
Epoch 213/1000
0s - loss: 0.0694 - mse: 60.4030 - val_loss: 0.0792 - val_mse: 68.9374
Epoch 214/1000
0s - loss: 0.0692 - mse: 60.2370 - val_loss: 0.0790 - val_mse: 68.7867
Epoch 215/1000
0s - loss: 0.0690 - mse: 60.0752 - val_loss: 0.0787 - val_mse: 68.5723
Epoch 216/1000
0s - loss: 0.0688 - mse: 59.9119 - val_loss: 0.0785 - val_mse: 68.4021
Epoch 217/1000
0s - loss: 0.0686 - mse: 59.7478 - val_loss: 0.0784 - val_mse: 68.2371
Epoch 218/1000
0s - loss: 0.0684 - mse: 59.5820 - val_loss: 0.0781 - val_mse: 68.0250
Epoch 219/1000
0s - loss: 0.0682 - mse: 59.4141 - val_loss: 0.0779 - val_mse: 67.8656
Epoch 220/1000
0s - loss: 0.0680 - mse: 59.2443 - val_loss: 0.0777 - val_mse: 67.6903
Epoch 221/1000
0s - loss: 0.0678 - mse: 59.0760 - val_loss: 0.0775 - val_mse: 67.4999
Epoch 222/1000
0s - loss: 0.0677 - mse: 58.9129 - val_loss: 0.0774 - val_mse: 67.3616
Epoch 223/1000
0s - loss: 0.0675 - mse: 58.7565 - val_loss: 0.0771 - val_mse: 67.1814
Epoch 224/1000
0s - loss: 0.0673 - mse: 58.6091 - val_loss: 0.0770 - val_mse: 67.0197
Epoch 225/1000
0s - loss: 0.0671 - mse: 58.4622 - val_loss: 0.0768 - val_mse: 66.8737
Epoch 226/1000
0s - loss: 0.0670 - mse: 58.3107 - val_loss: 0.0766 - val_mse: 66.6988
Epoch 227/1000
0s - loss: 0.0668 - mse: 58.1552 - val_loss: 0.0764 - val_mse: 66.5608
Epoch 228/1000
0s - loss: 0.0666 - mse: 58.0004 - val_loss: 0.0762 - val_mse: 66.3809
Epoch 229/1000
0s - loss: 0.0664 - mse: 57.8511 - val_loss: 0.0761 - val_mse: 66.2478
Epoch 230/1000
0s - loss: 0.0663 - mse: 57.7089 - val_loss: 0.0759 - val_mse: 66.0823
Epoch 231/1000
0s - loss: 0.0661 - mse: 57.5672 - val_loss: 0.0757 - val_mse: 65.9383
Epoch 232/1000
0s - loss: 0.0659 - mse: 57.4286 - val_loss: 0.0756 - val_mse: 65.8073
Epoch 233/1000
0s - loss: 0.0658 - mse: 57.2938 - val_loss: 0.0754 - val_mse: 65.6340
Epoch 234/1000
0s - loss: 0.0656 - mse: 57.1627 - val_loss: 0.0753 - val_mse: 65.5376
Epoch 235/1000
0s - loss: 0.0655 - mse: 57.0345 - val_loss: 0.0750 - val_mse: 65.3556
Epoch 236/1000
0s - loss: 0.0653 - mse: 56.9093 - val_loss: 0.0749 - val_mse: 65.2433
Epoch 237/1000
0s - loss: 0.0652 - mse: 56.7836 - val_loss: 0.0748 - val_mse: 65.0987
Epoch 238/1000
0s - loss: 0.0651 - mse: 56.6582 - val_loss: 0.0746 - val_mse: 64.9480
Epoch 239/1000
0s - loss: 0.0649 - mse: 56.5347 - val_loss: 0.0745 - val_mse: 64.8509
Epoch 240/1000
0s - loss: 0.0648 - mse: 56.4137 - val_loss: 0.0743 - val_mse: 64.6602
Epoch 241/1000
0s - loss: 0.0646 - mse: 56.2945 - val_loss: 0.0742 - val_mse: 64.5853
Epoch 242/1000
0s - loss: 0.0645 - mse: 56.1765 - val_loss: 0.0739 - val_mse: 64.3956
Epoch 243/1000
0s - loss: 0.0644 - mse: 56.0581 - val_loss: 0.0738 - val_mse: 64.2994
Epoch 244/1000
0s - loss: 0.0642 - mse: 55.9397 - val_loss: 0.0737 - val_mse: 64.1511
Epoch 245/1000
0s - loss: 0.0641 - mse: 55.8225 - val_loss: 0.0735 - val_mse: 64.0166
Epoch 246/1000
0s - loss: 0.0640 - mse: 55.7073 - val_loss: 0.0734 - val_mse: 63.8994
Epoch 247/1000
0s - loss: 0.0638 - mse: 55.5936 - val_loss: 0.0732 - val_mse: 63.7438
Epoch 248/1000
0s - loss: 0.0637 - mse: 55.4812 - val_loss: 0.0731 - val_mse: 63.6476
Epoch 249/1000
0s - loss: 0.0636 - mse: 55.3689 - val_loss: 0.0729 - val_mse: 63.4852
Epoch 250/1000
0s - loss: 0.0635 - mse: 55.2572 - val_loss: 0.0728 - val_mse: 63.3979
Epoch 251/1000
0s - loss: 0.0633 - mse: 55.1460 - val_loss: 0.0726 - val_mse: 63.2201
Epoch 252/1000
0s - loss: 0.0632 - mse: 55.0361 - val_loss: 0.0725 - val_mse: 63.1496
Epoch 253/1000
0s - loss: 0.0631 - mse: 54.9274 - val_loss: 0.0723 - val_mse: 62.9630
Epoch 254/1000
0s - loss: 0.0630 - mse: 54.8199 - val_loss: 0.0722 - val_mse: 62.9141
Epoch 255/1000
0s - loss: 0.0628 - mse: 54.7152 - val_loss: 0.0720 - val_mse: 62.6916
Epoch 256/1000
0s - loss: 0.0627 - mse: 54.6146 - val_loss: 0.0720 - val_mse: 62.7169
Epoch 257/1000
0s - loss: 0.0626 - mse: 54.5233 - val_loss: 0.0717 - val_mse: 62.4139
Epoch 258/1000
0s - loss: 0.0625 - mse: 54.4344 - val_loss: 0.0718 - val_mse: 62.5498
Epoch 259/1000
0s - loss: 0.0624 - mse: 54.3552 - val_loss: 0.0714 - val_mse: 62.1587
Epoch 260/1000
0s - loss: 0.0623 - mse: 54.2743 - val_loss: 0.0717 - val_mse: 62.4006
Epoch 261/1000
0s - loss: 0.0623 - mse: 54.2113 - val_loss: 0.0711 - val_mse: 61.9078
Epoch 262/1000
0s - loss: 0.0621 - mse: 54.1124 - val_loss: 0.0713 - val_mse: 62.1051
Epoch 263/1000
1s - loss: 0.0620 - mse: 53.9814 - val_loss: 0.0708 - val_mse: 61.6623
Epoch 264/1000
0s - loss: 0.0618 - mse: 53.8236 - val_loss: 0.0708 - val_mse: 61.6798
Epoch 265/1000
0s - loss: 0.0616 - mse: 53.6866 - val_loss: 0.0706 - val_mse: 61.4934
Epoch 266/1000
0s - loss: 0.0615 - mse: 53.5786 - val_loss: 0.0705 - val_mse: 61.3538
Epoch 267/1000
0s - loss: 0.0614 - mse: 53.4730 - val_loss: 0.0703 - val_mse: 61.2620
Epoch 268/1000
1s - loss: 0.0613 - mse: 53.3779 - val_loss: 0.0702 - val_mse: 61.1028
Epoch 269/1000
0s - loss: 0.0612 - mse: 53.2787 - val_loss: 0.0701 - val_mse: 61.0495
Epoch 270/1000
0s - loss: 0.0611 - mse: 53.1780 - val_loss: 0.0699 - val_mse: 60.8759
Epoch 271/1000
0s - loss: 0.0610 - mse: 53.0968 - val_loss: 0.0700 - val_mse: 60.9405
Epoch 272/1000
0s - loss: 0.0609 - mse: 53.0323 - val_loss: 0.0696 - val_mse: 60.6038
Epoch 273/1000
0s - loss: 0.0609 - mse: 53.0087 - val_loss: 0.0700 - val_mse: 60.9158
Epoch 274/1000
0s - loss: 0.0608 - mse: 52.9626 - val_loss: 0.0693 - val_mse: 60.3806
Epoch 275/1000
0s - loss: 0.0607 - mse: 52.8432 - val_loss: 0.0696 - val_mse: 60.5862
Epoch 276/1000
0s - loss: 0.0605 - mse: 52.7005 - val_loss: 0.0691 - val_mse: 60.1580
Epoch 277/1000
0s - loss: 0.0604 - mse: 52.5870 - val_loss: 0.0693 - val_mse: 60.3142
Epoch 278/1000
0s - loss: 0.0603 - mse: 52.5007 - val_loss: 0.0688 - val_mse: 59.8892
Epoch 279/1000
0s - loss: 0.0602 - mse: 52.4375 - val_loss: 0.0690 - val_mse: 60.0653
Epoch 280/1000
0s - loss: 0.0601 - mse: 52.3239 - val_loss: 0.0685 - val_mse: 59.6482
Epoch 281/1000
0s - loss: 0.0599 - mse: 52.1726 - val_loss: 0.0684 - val_mse: 59.6064
Epoch 282/1000
0s - loss: 0.0598 - mse: 52.0419 - val_loss: 0.0684 - val_mse: 59.5232
Epoch 283/1000
0s - loss: 0.0597 - mse: 51.9558 - val_loss: 0.0681 - val_mse: 59.2876
Epoch 284/1000
0s - loss: 0.0596 - mse: 51.8953 - val_loss: 0.0682 - val_mse: 59.4093
Epoch 285/1000
0s - loss: 0.0595 - mse: 51.8262 - val_loss: 0.0678 - val_mse: 59.0436
Epoch 286/1000
0s - loss: 0.0594 - mse: 51.7191 - val_loss: 0.0678 - val_mse: 59.0716
Epoch 287/1000
0s - loss: 0.0592 - mse: 51.5897 - val_loss: 0.0676 - val_mse: 58.8367
Epoch 288/1000
0s - loss: 0.0591 - mse: 51.4728 - val_loss: 0.0674 - val_mse: 58.7123
Epoch 289/1000
0s - loss: 0.0590 - mse: 51.3810 - val_loss: 0.0674 - val_mse: 58.6968
Epoch 290/1000
0s - loss: 0.0589 - mse: 51.3024 - val_loss: 0.0671 - val_mse: 58.4610
Epoch 291/1000
0s - loss: 0.0588 - mse: 51.2188 - val_loss: 0.0672 - val_mse: 58.4867
Epoch 292/1000
0s - loss: 0.0587 - mse: 51.1209 - val_loss: 0.0669 - val_mse: 58.2551
Epoch 293/1000
0s - loss: 0.0586 - mse: 51.0166 - val_loss: 0.0668 - val_mse: 58.2042
Epoch 294/1000
0s - loss: 0.0585 - mse: 50.9150 - val_loss: 0.0667 - val_mse: 58.0873
Epoch 295/1000
0s - loss: 0.0584 - mse: 50.8218 - val_loss: 0.0665 - val_mse: 57.9374
Epoch 296/1000
0s - loss: 0.0583 - mse: 50.7355 - val_loss: 0.0665 - val_mse: 57.9133
Epoch 297/1000
0s - loss: 0.0582 - mse: 50.6496 - val_loss: 0.0663 - val_mse: 57.7044
Epoch 298/1000
0s - loss: 0.0581 - mse: 50.5594 - val_loss: 0.0662 - val_mse: 57.6805
Epoch 299/1000
0s - loss: 0.0579 - mse: 50.4612 - val_loss: 0.0660 - val_mse: 57.4928
Epoch 300/1000
0s - loss: 0.0578 - mse: 50.3608 - val_loss: 0.0659 - val_mse: 57.4044
Epoch 301/1000
0s - loss: 0.0577 - mse: 50.2637 - val_loss: 0.0658 - val_mse: 57.2998
Epoch 302/1000
1s - loss: 0.0576 - mse: 50.1705 - val_loss: 0.0656 - val_mse: 57.1520
Epoch 303/1000
1s - loss: 0.0575 - mse: 50.0787 - val_loss: 0.0656 - val_mse: 57.1005
Epoch 304/1000
0s - loss: 0.0574 - mse: 49.9898 - val_loss: 0.0654 - val_mse: 56.9223
Epoch 305/1000
0s - loss: 0.0573 - mse: 49.9031 - val_loss: 0.0653 - val_mse: 56.8887
Epoch 306/1000
0s - loss: 0.0572 - mse: 49.8130 - val_loss: 0.0651 - val_mse: 56.7171
Epoch 307/1000
0s - loss: 0.0571 - mse: 49.7187 - val_loss: 0.0650 - val_mse: 56.6467
Epoch 308/1000
0s - loss: 0.0570 - mse: 49.6269 - val_loss: 0.0649 - val_mse: 56.5154
Epoch 309/1000
0s - loss: 0.0569 - mse: 49.5360 - val_loss: 0.0648 - val_mse: 56.4111
Epoch 310/1000
0s - loss: 0.0568 - mse: 49.4463 - val_loss: 0.0647 - val_mse: 56.3236
Epoch 311/1000
0s - loss: 0.0567 - mse: 49.3583 - val_loss: 0.0645 - val_mse: 56.1821
Epoch 312/1000
0s - loss: 0.0566 - mse: 49.2713 - val_loss: 0.0645 - val_mse: 56.1277
Epoch 313/1000
0s - loss: 0.0565 - mse: 49.1843 - val_loss: 0.0643 - val_mse: 55.9623
Epoch 314/1000
0s - loss: 0.0564 - mse: 49.0944 - val_loss: 0.0642 - val_mse: 55.8959
Epoch 315/1000
0s - loss: 0.0563 - mse: 49.0026 - val_loss: 0.0640 - val_mse: 55.7619
Epoch 316/1000
0s - loss: 0.0562 - mse: 48.9107 - val_loss: 0.0639 - val_mse: 55.6474
Epoch 317/1000
0s - loss: 0.0561 - mse: 48.8210 - val_loss: 0.0638 - val_mse: 55.5663
Epoch 318/1000
0s - loss: 0.0560 - mse: 48.7323 - val_loss: 0.0636 - val_mse: 55.4160
Epoch 319/1000
0s - loss: 0.0559 - mse: 48.6440 - val_loss: 0.0636 - val_mse: 55.3592
Epoch 320/1000
0s - loss: 0.0558 - mse: 48.5540 - val_loss: 0.0634 - val_mse: 55.2072
Epoch 321/1000
0s - loss: 0.0556 - mse: 48.4617 - val_loss: 0.0633 - val_mse: 55.1281
Epoch 322/1000
0s - loss: 0.0555 - mse: 48.3699 - val_loss: 0.0632 - val_mse: 55.0115
Epoch 323/1000
0s - loss: 0.0554 - mse: 48.2792 - val_loss: 0.0630 - val_mse: 54.9024
Epoch 324/1000
0s - loss: 0.0553 - mse: 48.1893 - val_loss: 0.0629 - val_mse: 54.8192
Epoch 325/1000
0s - loss: 0.0552 - mse: 48.1004 - val_loss: 0.0628 - val_mse: 54.6883
Epoch 326/1000
0s - loss: 0.0551 - mse: 48.0117 - val_loss: 0.0627 - val_mse: 54.6161
Epoch 327/1000
0s - loss: 0.0550 - mse: 47.9226 - val_loss: 0.0626 - val_mse: 54.4806
Epoch 328/1000
0s - loss: 0.0549 - mse: 47.8331 - val_loss: 0.0625 - val_mse: 54.4085
Epoch 329/1000
0s - loss: 0.0548 - mse: 47.7447 - val_loss: 0.0623 - val_mse: 54.2726
Epoch 330/1000
0s - loss: 0.0547 - mse: 47.6557 - val_loss: 0.0622 - val_mse: 54.1985
Epoch 331/1000
0s - loss: 0.0546 - mse: 47.5661 - val_loss: 0.0621 - val_mse: 54.0752
Epoch 332/1000
0s - loss: 0.0545 - mse: 47.4775 - val_loss: 0.0620 - val_mse: 53.9822
Epoch 333/1000
0s - loss: 0.0544 - mse: 47.3910 - val_loss: 0.0619 - val_mse: 53.8796
Epoch 334/1000
0s - loss: 0.0543 - mse: 47.3060 - val_loss: 0.0617 - val_mse: 53.7645
Epoch 335/1000
0s - loss: 0.0542 - mse: 47.2220 - val_loss: 0.0616 - val_mse: 53.6831
Epoch 336/1000
0s - loss: 0.0541 - mse: 47.1392 - val_loss: 0.0615 - val_mse: 53.5424
Epoch 337/1000
0s - loss: 0.0540 - mse: 47.0572 - val_loss: 0.0614 - val_mse: 53.4900
Epoch 338/1000
0s - loss: 0.0539 - mse: 46.9744 - val_loss: 0.0612 - val_mse: 53.3262
Epoch 339/1000
0s - loss: 0.0538 - mse: 46.8894 - val_loss: 0.0612 - val_mse: 53.2876
Epoch 340/1000
0s - loss: 0.0537 - mse: 46.8038 - val_loss: 0.0610 - val_mse: 53.1178
Epoch 341/1000
0s - loss: 0.0536 - mse: 46.7163 - val_loss: 0.0609 - val_mse: 53.0726
Epoch 342/1000
0s - loss: 0.0535 - mse: 46.6272 - val_loss: 0.0608 - val_mse: 52.9231
Epoch 343/1000
0s - loss: 0.0534 - mse: 46.5372 - val_loss: 0.0607 - val_mse: 52.8413
Epoch 344/1000
0s - loss: 0.0533 - mse: 46.4483 - val_loss: 0.0606 - val_mse: 52.7373
Epoch 345/1000
0s - loss: 0.0532 - mse: 46.3617 - val_loss: 0.0604 - val_mse: 52.6155
Epoch 346/1000
0s - loss: 0.0531 - mse: 46.2769 - val_loss: 0.0603 - val_mse: 52.5476
Epoch 347/1000
0s - loss: 0.0530 - mse: 46.1928 - val_loss: 0.0602 - val_mse: 52.3968
Epoch 348/1000
0s - loss: 0.0529 - mse: 46.1085 - val_loss: 0.0601 - val_mse: 52.3430
Epoch 349/1000
0s - loss: 0.0528 - mse: 46.0229 - val_loss: 0.0599 - val_mse: 52.1923
Epoch 350/1000
0s - loss: 0.0527 - mse: 45.9357 - val_loss: 0.0599 - val_mse: 52.1261
Epoch 351/1000
0s - loss: 0.0526 - mse: 45.8487 - val_loss: 0.0597 - val_mse: 51.9980
Epoch 352/1000
0s - loss: 0.0525 - mse: 45.7617 - val_loss: 0.0596 - val_mse: 51.9104
Epoch 353/1000
0s - loss: 0.0524 - mse: 45.6753 - val_loss: 0.0595 - val_mse: 51.8171
Epoch 354/1000
0s - loss: 0.0524 - mse: 45.5908 - val_loss: 0.0594 - val_mse: 51.7004
Epoch 355/1000
0s - loss: 0.0523 - mse: 45.5079 - val_loss: 0.0593 - val_mse: 51.6396
Epoch 356/1000
0s - loss: 0.0522 - mse: 45.4252 - val_loss: 0.0591 - val_mse: 51.4992
Epoch 357/1000
0s - loss: 0.0521 - mse: 45.3411 - val_loss: 0.0591 - val_mse: 51.4491
Epoch 358/1000
0s - loss: 0.0520 - mse: 45.2561 - val_loss: 0.0589 - val_mse: 51.3073
Epoch 359/1000
0s - loss: 0.0519 - mse: 45.1688 - val_loss: 0.0588 - val_mse: 51.2457
Epoch 360/1000
0s - loss: 0.0518 - mse: 45.0820 - val_loss: 0.0587 - val_mse: 51.1207
Epoch 361/1000
0s - loss: 0.0517 - mse: 44.9947 - val_loss: 0.0586 - val_mse: 51.0428
Epoch 362/1000
0s - loss: 0.0516 - mse: 44.9071 - val_loss: 0.0585 - val_mse: 50.9358
Epoch 363/1000
0s - loss: 0.0515 - mse: 44.8206 - val_loss: 0.0584 - val_mse: 50.8357
Epoch 364/1000
0s - loss: 0.0514 - mse: 44.7347 - val_loss: 0.0583 - val_mse: 50.7502
Epoch 365/1000
0s - loss: 0.0513 - mse: 44.6502 - val_loss: 0.0581 - val_mse: 50.6352
Epoch 366/1000
0s - loss: 0.0512 - mse: 44.5667 - val_loss: 0.0581 - val_mse: 50.5701
Epoch 367/1000
0s - loss: 0.0511 - mse: 44.4833 - val_loss: 0.0579 - val_mse: 50.4441
Epoch 368/1000
0s - loss: 0.0510 - mse: 44.4005 - val_loss: 0.0579 - val_mse: 50.3927
Epoch 369/1000
0s - loss: 0.0509 - mse: 44.3170 - val_loss: 0.0577 - val_mse: 50.2600
Epoch 370/1000
0s - loss: 0.0508 - mse: 44.2326 - val_loss: 0.0576 - val_mse: 50.1990
Epoch 371/1000
0s - loss: 0.0507 - mse: 44.1472 - val_loss: 0.0575 - val_mse: 50.0801
Epoch 372/1000
0s - loss: 0.0506 - mse: 44.0619 - val_loss: 0.0574 - val_mse: 49.9953
Epoch 373/1000
0s - loss: 0.0505 - mse: 43.9772 - val_loss: 0.0573 - val_mse: 49.8954
Epoch 374/1000
0s - loss: 0.0504 - mse: 43.8931 - val_loss: 0.0572 - val_mse: 49.7897
Epoch 375/1000
0s - loss: 0.0503 - mse: 43.8097 - val_loss: 0.0571 - val_mse: 49.7099
Epoch 376/1000
0s - loss: 0.0502 - mse: 43.7267 - val_loss: 0.0569 - val_mse: 49.5900
Epoch 377/1000
0s - loss: 0.0501 - mse: 43.6431 - val_loss: 0.0569 - val_mse: 49.5164
Epoch 378/1000
0s - loss: 0.0500 - mse: 43.5593 - val_loss: 0.0567 - val_mse: 49.3990
Epoch 379/1000
0s - loss: 0.0499 - mse: 43.4746 - val_loss: 0.0566 - val_mse: 49.3113
Epoch 380/1000
0s - loss: 0.0498 - mse: 43.3894 - val_loss: 0.0565 - val_mse: 49.2106
Epoch 381/1000
0s - loss: 0.0497 - mse: 43.3043 - val_loss: 0.0564 - val_mse: 49.0926
Epoch 382/1000
0s - loss: 0.0496 - mse: 43.2185 - val_loss: 0.0563 - val_mse: 49.0165
Epoch 383/1000
0s - loss: 0.0495 - mse: 43.1362 - val_loss: 0.0561 - val_mse: 48.8801
Epoch 384/1000
0s - loss: 0.0494 - mse: 43.0557 - val_loss: 0.0561 - val_mse: 48.8176
Epoch 385/1000
0s - loss: 0.0493 - mse: 42.9752 - val_loss: 0.0559 - val_mse: 48.6838
Epoch 386/1000
0s - loss: 0.0493 - mse: 42.8917 - val_loss: 0.0558 - val_mse: 48.6088
Epoch 387/1000
0s - loss: 0.0492 - mse: 42.8074 - val_loss: 0.0557 - val_mse: 48.5021
Epoch 388/1000
0s - loss: 0.0491 - mse: 42.7230 - val_loss: 0.0556 - val_mse: 48.4061
Epoch 389/1000
0s - loss: 0.0490 - mse: 42.6397 - val_loss: 0.0555 - val_mse: 48.3261
Epoch 390/1000
0s - loss: 0.0489 - mse: 42.5571 - val_loss: 0.0554 - val_mse: 48.2133
Epoch 391/1000
0s - loss: 0.0488 - mse: 42.4759 - val_loss: 0.0553 - val_mse: 48.1474
Epoch 392/1000
0s - loss: 0.0487 - mse: 42.3957 - val_loss: 0.0551 - val_mse: 48.0216
Epoch 393/1000
0s - loss: 0.0486 - mse: 42.3169 - val_loss: 0.0551 - val_mse: 47.9655
Epoch 394/1000
0s - loss: 0.0485 - mse: 42.2379 - val_loss: 0.0549 - val_mse: 47.8314
Epoch 395/1000
0s - loss: 0.0484 - mse: 42.1558 - val_loss: 0.0548 - val_mse: 47.7593
Epoch 396/1000
0s - loss: 0.0483 - mse: 42.0709 - val_loss: 0.0547 - val_mse: 47.6448
Epoch 397/1000
0s - loss: 0.0482 - mse: 41.9875 - val_loss: 0.0546 - val_mse: 47.5515
Epoch 398/1000
0s - loss: 0.0481 - mse: 41.9060 - val_loss: 0.0545 - val_mse: 47.4656
Epoch 399/1000
0s - loss: 0.0480 - mse: 41.8256 - val_loss: 0.0544 - val_mse: 47.3559
Epoch 400/1000
0s - loss: 0.0479 - mse: 41.7457 - val_loss: 0.0543 - val_mse: 47.2846
Epoch 401/1000
0s - loss: 0.0478 - mse: 41.6664 - val_loss: 0.0542 - val_mse: 47.1672
Epoch 402/1000
0s - loss: 0.0478 - mse: 41.5861 - val_loss: 0.0541 - val_mse: 47.0940
Epoch 403/1000
0s - loss: 0.0477 - mse: 41.5054 - val_loss: 0.0540 - val_mse: 46.9899
Epoch 404/1000
0s - loss: 0.0476 - mse: 41.4246 - val_loss: 0.0539 - val_mse: 46.8988
Epoch 405/1000
0s - loss: 0.0475 - mse: 41.3445 - val_loss: 0.0538 - val_mse: 46.8217
Epoch 406/1000
0s - loss: 0.0474 - mse: 41.2652 - val_loss: 0.0536 - val_mse: 46.7121
Epoch 407/1000
0s - loss: 0.0473 - mse: 41.1863 - val_loss: 0.0536 - val_mse: 46.6473
Epoch 408/1000
0s - loss: 0.0472 - mse: 41.1065 - val_loss: 0.0534 - val_mse: 46.5311
Epoch 409/1000
0s - loss: 0.0471 - mse: 41.0263 - val_loss: 0.0534 - val_mse: 46.4625
Epoch 410/1000
0s - loss: 0.0470 - mse: 40.9450 - val_loss: 0.0532 - val_mse: 46.3539
Epoch 411/1000
0s - loss: 0.0469 - mse: 40.8640 - val_loss: 0.0531 - val_mse: 46.2708
Epoch 412/1000
0s - loss: 0.0468 - mse: 40.7838 - val_loss: 0.0530 - val_mse: 46.1818
Epoch 413/1000
0s - loss: 0.0467 - mse: 40.7046 - val_loss: 0.0529 - val_mse: 46.0831
Epoch 414/1000
0s - loss: 0.0467 - mse: 40.6261 - val_loss: 0.0528 - val_mse: 46.0122
Epoch 415/1000
0s - loss: 0.0466 - mse: 40.5484 - val_loss: 0.0527 - val_mse: 45.8991
Epoch 416/1000
0s - loss: 0.0465 - mse: 40.4713 - val_loss: 0.0526 - val_mse: 45.8372
Epoch 417/1000
0s - loss: 0.0464 - mse: 40.3932 - val_loss: 0.0525 - val_mse: 45.7204
Epoch 418/1000
0s - loss: 0.0463 - mse: 40.3142 - val_loss: 0.0524 - val_mse: 45.6422
Epoch 419/1000
0s - loss: 0.0462 - mse: 40.2352 - val_loss: 0.0523 - val_mse: 45.5465
Epoch 420/1000
0s - loss: 0.0461 - mse: 40.1581 - val_loss: 0.0522 - val_mse: 45.4455
Epoch 421/1000
0s - loss: 0.0460 - mse: 40.0823 - val_loss: 0.0521 - val_mse: 45.3712
Epoch 422/1000
0s - loss: 0.0459 - mse: 40.0065 - val_loss: 0.0520 - val_mse: 45.2573
Epoch 423/1000
0s - loss: 0.0459 - mse: 39.9302 - val_loss: 0.0519 - val_mse: 45.1854
Epoch 424/1000
0s - loss: 0.0458 - mse: 39.8536 - val_loss: 0.0518 - val_mse: 45.0733
Epoch 425/1000
0s - loss: 0.0457 - mse: 39.7772 - val_loss: 0.0517 - val_mse: 44.9882
Epoch 426/1000
0s - loss: 0.0456 - mse: 39.7012 - val_loss: 0.0516 - val_mse: 44.8949
Epoch 427/1000
0s - loss: 0.0455 - mse: 39.6259 - val_loss: 0.0514 - val_mse: 44.7942
Epoch 428/1000
0s - loss: 0.0454 - mse: 39.5514 - val_loss: 0.0513 - val_mse: 44.7152
Epoch 429/1000
0s - loss: 0.0453 - mse: 39.4774 - val_loss: 0.0512 - val_mse: 44.6054
Epoch 430/1000
0s - loss: 0.0452 - mse: 39.4044 - val_loss: 0.0511 - val_mse: 44.5382
Epoch 431/1000
0s - loss: 0.0452 - mse: 39.3306 - val_loss: 0.0510 - val_mse: 44.4241
Epoch 432/1000
0s - loss: 0.0451 - mse: 39.2561 - val_loss: 0.0509 - val_mse: 44.3558
Epoch 433/1000
0s - loss: 0.0450 - mse: 39.1809 - val_loss: 0.0508 - val_mse: 44.2534
Epoch 434/1000
0s - loss: 0.0449 - mse: 39.1050 - val_loss: 0.0507 - val_mse: 44.1672
Epoch 435/1000
0s - loss: 0.0448 - mse: 39.0302 - val_loss: 0.0506 - val_mse: 44.0878
Epoch 436/1000
0s - loss: 0.0447 - mse: 38.9559 - val_loss: 0.0505 - val_mse: 43.9849
Epoch 437/1000
0s - loss: 0.0446 - mse: 38.8820 - val_loss: 0.0504 - val_mse: 43.9177
Epoch 438/1000
0s - loss: 0.0446 - mse: 38.8077 - val_loss: 0.0503 - val_mse: 43.8087
Epoch 439/1000
0s - loss: 0.0445 - mse: 38.7343 - val_loss: 0.0502 - val_mse: 43.7431
Epoch 440/1000
0s - loss: 0.0444 - mse: 38.6587 - val_loss: 0.0501 - val_mse: 43.6349
Epoch 441/1000
0s - loss: 0.0443 - mse: 38.5835 - val_loss: 0.0500 - val_mse: 43.5606
Epoch 442/1000
0s - loss: 0.0442 - mse: 38.5078 - val_loss: 0.0499 - val_mse: 43.4687
Epoch 443/1000
0s - loss: 0.0441 - mse: 38.4327 - val_loss: 0.0498 - val_mse: 43.3746
Epoch 444/1000
0s - loss: 0.0440 - mse: 38.3583 - val_loss: 0.0497 - val_mse: 43.3045
Epoch 445/1000
0s - loss: 0.0440 - mse: 38.2868 - val_loss: 0.0496 - val_mse: 43.1973
Epoch 446/1000
0s - loss: 0.0439 - mse: 38.2158 - val_loss: 0.0495 - val_mse: 43.1369
Epoch 447/1000
0s - loss: 0.0438 - mse: 38.1409 - val_loss: 0.0494 - val_mse: 43.0199
Epoch 448/1000
0s - loss: 0.0437 - mse: 38.0651 - val_loss: 0.0493 - val_mse: 42.9529
Epoch 449/1000
0s - loss: 0.0436 - mse: 37.9896 - val_loss: 0.0492 - val_mse: 42.8568
Epoch 450/1000
0s - loss: 0.0435 - mse: 37.9150 - val_loss: 0.0491 - val_mse: 42.7628
Epoch 451/1000
0s - loss: 0.0435 - mse: 37.8422 - val_loss: 0.0490 - val_mse: 42.6944
Epoch 452/1000
0s - loss: 0.0434 - mse: 37.7702 - val_loss: 0.0489 - val_mse: 42.5805
Epoch 453/1000
0s - loss: 0.0433 - mse: 37.6974 - val_loss: 0.0488 - val_mse: 42.5155
Epoch 454/1000
0s - loss: 0.0432 - mse: 37.6210 - val_loss: 0.0487 - val_mse: 42.4026
Epoch 455/1000
0s - loss: 0.0431 - mse: 37.5431 - val_loss: 0.0486 - val_mse: 42.3182
Epoch 456/1000
0s - loss: 0.0430 - mse: 37.4658 - val_loss: 0.0485 - val_mse: 42.2317
Epoch 457/1000
0s - loss: 0.0429 - mse: 37.3907 - val_loss: 0.0484 - val_mse: 42.1315
Epoch 458/1000
0s - loss: 0.0429 - mse: 37.3182 - val_loss: 0.0483 - val_mse: 42.0615
Epoch 459/1000
0s - loss: 0.0428 - mse: 37.2456 - val_loss: 0.0482 - val_mse: 41.9523
Epoch 460/1000
0s - loss: 0.0427 - mse: 37.1717 - val_loss: 0.0481 - val_mse: 41.8714
Epoch 461/1000
0s - loss: 0.0426 - mse: 37.0970 - val_loss: 0.0480 - val_mse: 41.7759
Epoch 462/1000
0s - loss: 0.0425 - mse: 37.0233 - val_loss: 0.0479 - val_mse: 41.6805
Epoch 463/1000
0s - loss: 0.0424 - mse: 36.9511 - val_loss: 0.0478 - val_mse: 41.5990
Epoch 464/1000
0s - loss: 0.0423 - mse: 36.8793 - val_loss: 0.0477 - val_mse: 41.4974
Epoch 465/1000
0s - loss: 0.0423 - mse: 36.8068 - val_loss: 0.0476 - val_mse: 41.4174
Epoch 466/1000
0s - loss: 0.0422 - mse: 36.7334 - val_loss: 0.0475 - val_mse: 41.3226
Epoch 467/1000
0s - loss: 0.0421 - mse: 36.6603 - val_loss: 0.0474 - val_mse: 41.2346
Epoch 468/1000
0s - loss: 0.0420 - mse: 36.5889 - val_loss: 0.0473 - val_mse: 41.1564
Epoch 469/1000
0s - loss: 0.0419 - mse: 36.5182 - val_loss: 0.0471 - val_mse: 41.0567
Epoch 470/1000
0s - loss: 0.0419 - mse: 36.4465 - val_loss: 0.0471 - val_mse: 40.9809
Epoch 471/1000
0s - loss: 0.0418 - mse: 36.3741 - val_loss: 0.0470 - val_mse: 40.8910
Epoch 472/1000
0s - loss: 0.0417 - mse: 36.3023 - val_loss: 0.0469 - val_mse: 40.8051
Epoch 473/1000
0s - loss: 0.0416 - mse: 36.2313 - val_loss: 0.0468 - val_mse: 40.7339
Epoch 474/1000
0s - loss: 0.0415 - mse: 36.1613 - val_loss: 0.0467 - val_mse: 40.6385
Epoch 475/1000
0s - loss: 0.0414 - mse: 36.0904 - val_loss: 0.0466 - val_mse: 40.5663
Epoch 476/1000
0s - loss: 0.0414 - mse: 36.0194 - val_loss: 0.0465 - val_mse: 40.4763
Epoch 477/1000
0s - loss: 0.0413 - mse: 35.9486 - val_loss: 0.0464 - val_mse: 40.3913
Epoch 478/1000
0s - loss: 0.0412 - mse: 35.8787 - val_loss: 0.0463 - val_mse: 40.3127
Epoch 479/1000
0s - loss: 0.0411 - mse: 35.8093 - val_loss: 0.0462 - val_mse: 40.2211
Epoch 480/1000
0s - loss: 0.0410 - mse: 35.7400 - val_loss: 0.0461 - val_mse: 40.1439
Epoch 481/1000
0s - loss: 0.0410 - mse: 35.6705 - val_loss: 0.0460 - val_mse: 40.0539
Epoch 482/1000
0s - loss: 0.0409 - mse: 35.6009 - val_loss: 0.0459 - val_mse: 39.9706
Epoch 483/1000
0s - loss: 0.0408 - mse: 35.5317 - val_loss: 0.0458 - val_mse: 39.8871
Epoch 484/1000
0s - loss: 0.0407 - mse: 35.4623 - val_loss: 0.0457 - val_mse: 39.8018
Epoch 485/1000
0s - loss: 0.0406 - mse: 35.3931 - val_loss: 0.0456 - val_mse: 39.7220
Epoch 486/1000
0s - loss: 0.0406 - mse: 35.3239 - val_loss: 0.0455 - val_mse: 39.6372
Epoch 487/1000
0s - loss: 0.0405 - mse: 35.2549 - val_loss: 0.0454 - val_mse: 39.5544
Epoch 488/1000
0s - loss: 0.0404 - mse: 35.1860 - val_loss: 0.0453 - val_mse: 39.4676
Epoch 489/1000
0s - loss: 0.0403 - mse: 35.1170 - val_loss: 0.0452 - val_mse: 39.3864
Epoch 490/1000
0s - loss: 0.0402 - mse: 35.0481 - val_loss: 0.0451 - val_mse: 39.2963
Epoch 491/1000
0s - loss: 0.0402 - mse: 34.9801 - val_loss: 0.0450 - val_mse: 39.2192
Epoch 492/1000
0s - loss: 0.0401 - mse: 34.9116 - val_loss: 0.0449 - val_mse: 39.1311
Epoch 493/1000
0s - loss: 0.0400 - mse: 34.8431 - val_loss: 0.0448 - val_mse: 39.0502
Epoch 494/1000
0s - loss: 0.0399 - mse: 34.7745 - val_loss: 0.0447 - val_mse: 38.9674
Epoch 495/1000
0s - loss: 0.0399 - mse: 34.7063 - val_loss: 0.0447 - val_mse: 38.8842
Epoch 496/1000
0s - loss: 0.0398 - mse: 34.6383 - val_loss: 0.0446 - val_mse: 38.8050
Epoch 497/1000
0s - loss: 0.0397 - mse: 34.5703 - val_loss: 0.0445 - val_mse: 38.7206
Epoch 498/1000
0s - loss: 0.0396 - mse: 34.5025 - val_loss: 0.0444 - val_mse: 38.6406
Epoch 499/1000
0s - loss: 0.0395 - mse: 34.4353 - val_loss: 0.0443 - val_mse: 38.5575
Epoch 500/1000
0s - loss: 0.0395 - mse: 34.3679 - val_loss: 0.0442 - val_mse: 38.4789
Epoch 501/1000
0s - loss: 0.0394 - mse: 34.3009 - val_loss: 0.0441 - val_mse: 38.3962
Epoch 502/1000
0s - loss: 0.0393 - mse: 34.2342 - val_loss: 0.0440 - val_mse: 38.3174
Epoch 503/1000
0s - loss: 0.0392 - mse: 34.1678 - val_loss: 0.0439 - val_mse: 38.2401
Epoch 504/1000
0s - loss: 0.0392 - mse: 34.1017 - val_loss: 0.0438 - val_mse: 38.1592
Epoch 505/1000
0s - loss: 0.0391 - mse: 34.0364 - val_loss: 0.0437 - val_mse: 38.0882
Epoch 506/1000
0s - loss: 0.0390 - mse: 33.9716 - val_loss: 0.0436 - val_mse: 38.0040
Epoch 507/1000
0s - loss: 0.0389 - mse: 33.9071 - val_loss: 0.0436 - val_mse: 37.9344
Epoch 508/1000
0s - loss: 0.0389 - mse: 33.8425 - val_loss: 0.0435 - val_mse: 37.8520
Epoch 509/1000
0s - loss: 0.0388 - mse: 33.7781 - val_loss: 0.0434 - val_mse: 37.7756
Epoch 510/1000
0s - loss: 0.0387 - mse: 33.7141 - val_loss: 0.0433 - val_mse: 37.7038
Epoch 511/1000
0s - loss: 0.0386 - mse: 33.6502 - val_loss: 0.0432 - val_mse: 37.6238
Epoch 512/1000
0s - loss: 0.0386 - mse: 33.5865 - val_loss: 0.0431 - val_mse: 37.5547
Epoch 513/1000
0s - loss: 0.0385 - mse: 33.5230 - val_loss: 0.0430 - val_mse: 37.4753
Epoch 514/1000
0s - loss: 0.0384 - mse: 33.4596 - val_loss: 0.0430 - val_mse: 37.4054
Epoch 515/1000
0s - loss: 0.0383 - mse: 33.3963 - val_loss: 0.0429 - val_mse: 37.3265
Epoch 516/1000
0s - loss: 0.0383 - mse: 33.3332 - val_loss: 0.0428 - val_mse: 37.2540
Epoch 517/1000
0s - loss: 0.0382 - mse: 33.2706 - val_loss: 0.0427 - val_mse: 37.1781
Epoch 518/1000
0s - loss: 0.0381 - mse: 33.2085 - val_loss: 0.0426 - val_mse: 37.1034
Epoch 519/1000
0s - loss: 0.0381 - mse: 33.1467 - val_loss: 0.0425 - val_mse: 37.0300
Epoch 520/1000
0s - loss: 0.0380 - mse: 33.0849 - val_loss: 0.0424 - val_mse: 36.9540
Epoch 521/1000
0s - loss: 0.0379 - mse: 33.0236 - val_loss: 0.0424 - val_mse: 36.8858
Epoch 522/1000
0s - loss: 0.0379 - mse: 32.9627 - val_loss: 0.0423 - val_mse: 36.8089
Epoch 523/1000
0s - loss: 0.0378 - mse: 32.9021 - val_loss: 0.0422 - val_mse: 36.7412
Epoch 524/1000
0s - loss: 0.0377 - mse: 32.8417 - val_loss: 0.0421 - val_mse: 36.6685
Epoch 525/1000
0s - loss: 0.0376 - mse: 32.7817 - val_loss: 0.0420 - val_mse: 36.5945
Epoch 526/1000
0s - loss: 0.0376 - mse: 32.7225 - val_loss: 0.0419 - val_mse: 36.5293
Epoch 527/1000
0s - loss: 0.0375 - mse: 32.6639 - val_loss: 0.0419 - val_mse: 36.4517
Epoch 528/1000
0s - loss: 0.0374 - mse: 32.6050 - val_loss: 0.0418 - val_mse: 36.3863
Epoch 529/1000
0s - loss: 0.0374 - mse: 32.5460 - val_loss: 0.0417 - val_mse: 36.3170
Epoch 530/1000
0s - loss: 0.0373 - mse: 32.4878 - val_loss: 0.0416 - val_mse: 36.2450
Epoch 531/1000
0s - loss: 0.0372 - mse: 32.4301 - val_loss: 0.0415 - val_mse: 36.1826
Epoch 532/1000
0s - loss: 0.0372 - mse: 32.3722 - val_loss: 0.0415 - val_mse: 36.1101
Epoch 533/1000
0s - loss: 0.0371 - mse: 32.3138 - val_loss: 0.0414 - val_mse: 36.0468
Epoch 534/1000
0s - loss: 0.0370 - mse: 32.2556 - val_loss: 0.0413 - val_mse: 35.9822
Epoch 535/1000
0s - loss: 0.0370 - mse: 32.1981 - val_loss: 0.0412 - val_mse: 35.9098
Epoch 536/1000
0s - loss: 0.0369 - mse: 32.1405 - val_loss: 0.0412 - val_mse: 35.8481
Epoch 537/1000
0s - loss: 0.0368 - mse: 32.0822 - val_loss: 0.0411 - val_mse: 35.7785
Epoch 538/1000
0s - loss: 0.0368 - mse: 32.0229 - val_loss: 0.0410 - val_mse: 35.7058
Epoch 539/1000
0s - loss: 0.0367 - mse: 31.9617 - val_loss: 0.0409 - val_mse: 35.6396
Epoch 540/1000
0s - loss: 0.0366 - mse: 31.8987 - val_loss: 0.0408 - val_mse: 35.5683
Epoch 541/1000
0s - loss: 0.0366 - mse: 31.8370 - val_loss: 0.0408 - val_mse: 35.5042
Epoch 542/1000
0s - loss: 0.0365 - mse: 31.7762 - val_loss: 0.0407 - val_mse: 35.4364
Epoch 543/1000
0s - loss: 0.0364 - mse: 31.7140 - val_loss: 0.0406 - val_mse: 35.3671
Epoch 544/1000
0s - loss: 0.0363 - mse: 31.6530 - val_loss: 0.0405 - val_mse: 35.3059
Epoch 545/1000
0s - loss: 0.0363 - mse: 31.5928 - val_loss: 0.0405 - val_mse: 35.2382
Epoch 546/1000
0s - loss: 0.0362 - mse: 31.5329 - val_loss: 0.0404 - val_mse: 35.1751
Epoch 547/1000
0s - loss: 0.0361 - mse: 31.4747 - val_loss: 0.0403 - val_mse: 35.1136
Epoch 548/1000
0s - loss: 0.0361 - mse: 31.4171 - val_loss: 0.0403 - val_mse: 35.0513
Epoch 549/1000
0s - loss: 0.0360 - mse: 31.3611 - val_loss: 0.0402 - val_mse: 34.9923
Epoch 550/1000
0s - loss: 0.0359 - mse: 31.3047 - val_loss: 0.0401 - val_mse: 34.9322
Epoch 551/1000
0s - loss: 0.0359 - mse: 31.2492 - val_loss: 0.0400 - val_mse: 34.8733
Epoch 552/1000
0s - loss: 0.0358 - mse: 31.1957 - val_loss: 0.0400 - val_mse: 34.8193
Epoch 553/1000
0s - loss: 0.0358 - mse: 31.1431 - val_loss: 0.0399 - val_mse: 34.7564
Epoch 554/1000
0s - loss: 0.0357 - mse: 31.0912 - val_loss: 0.0398 - val_mse: 34.7007
Epoch 555/1000
0s - loss: 0.0356 - mse: 31.0395 - val_loss: 0.0398 - val_mse: 34.6381
Epoch 556/1000
0s - loss: 0.0356 - mse: 30.9879 - val_loss: 0.0397 - val_mse: 34.5771
Epoch 557/1000
0s - loss: 0.0355 - mse: 30.9364 - val_loss: 0.0396 - val_mse: 34.5194
Epoch 558/1000
0s - loss: 0.0355 - mse: 30.8855 - val_loss: 0.0396 - val_mse: 34.4559
Epoch 559/1000
0s - loss: 0.0354 - mse: 30.8349 - val_loss: 0.0395 - val_mse: 34.3998
Epoch 560/1000
0s - loss: 0.0354 - mse: 30.7848 - val_loss: 0.0394 - val_mse: 34.3432
Epoch 561/1000
0s - loss: 0.0353 - mse: 30.7352 - val_loss: 0.0394 - val_mse: 34.2830
Epoch 562/1000
0s - loss: 0.0352 - mse: 30.6864 - val_loss: 0.0393 - val_mse: 34.2314
Epoch 563/1000
0s - loss: 0.0352 - mse: 30.6386 - val_loss: 0.0392 - val_mse: 34.1718
Epoch 564/1000
0s - loss: 0.0351 - mse: 30.5910 - val_loss: 0.0392 - val_mse: 34.1158
Epoch 565/1000
0s - loss: 0.0351 - mse: 30.5435 - val_loss: 0.0391 - val_mse: 34.0624
Epoch 566/1000
0s - loss: 0.0350 - mse: 30.4969 - val_loss: 0.0390 - val_mse: 34.0017
Epoch 567/1000
0s - loss: 0.0350 - mse: 30.4504 - val_loss: 0.0390 - val_mse: 33.9492
Epoch 568/1000
0s - loss: 0.0349 - mse: 30.4040 - val_loss: 0.0389 - val_mse: 33.8912
Epoch 569/1000
0s - loss: 0.0349 - mse: 30.3579 - val_loss: 0.0389 - val_mse: 33.8350
Epoch 570/1000
0s - loss: 0.0348 - mse: 30.3124 - val_loss: 0.0388 - val_mse: 33.7836
Epoch 571/1000
0s - loss: 0.0348 - mse: 30.2676 - val_loss: 0.0387 - val_mse: 33.7283
Epoch 572/1000
0s - loss: 0.0347 - mse: 30.2233 - val_loss: 0.0387 - val_mse: 33.6785
Epoch 573/1000
0s - loss: 0.0347 - mse: 30.1791 - val_loss: 0.0386 - val_mse: 33.6290
Epoch 574/1000
0s - loss: 0.0346 - mse: 30.1351 - val_loss: 0.0386 - val_mse: 33.5779
Epoch 575/1000
0s - loss: 0.0346 - mse: 30.0915 - val_loss: 0.0385 - val_mse: 33.5319
Epoch 576/1000
0s - loss: 0.0345 - mse: 30.0481 - val_loss: 0.0384 - val_mse: 33.4833
Epoch 577/1000
0s - loss: 0.0345 - mse: 30.0050 - val_loss: 0.0384 - val_mse: 33.4350
Epoch 578/1000
0s - loss: 0.0344 - mse: 29.9622 - val_loss: 0.0383 - val_mse: 33.3888
Epoch 579/1000
0s - loss: 0.0344 - mse: 29.9194 - val_loss: 0.0383 - val_mse: 33.3407
Epoch 580/1000
0s - loss: 0.0343 - mse: 29.8767 - val_loss: 0.0382 - val_mse: 33.2935
Epoch 581/1000
0s - loss: 0.0343 - mse: 29.8340 - val_loss: 0.0382 - val_mse: 33.2465
Epoch 582/1000
0s - loss: 0.0342 - mse: 29.7920 - val_loss: 0.0381 - val_mse: 33.2006
Epoch 583/1000
0s - loss: 0.0342 - mse: 29.7507 - val_loss: 0.0381 - val_mse: 33.1522
Epoch 584/1000
0s - loss: 0.0341 - mse: 29.7095 - val_loss: 0.0380 - val_mse: 33.1080
Epoch 585/1000
0s - loss: 0.0341 - mse: 29.6686 - val_loss: 0.0380 - val_mse: 33.0618
Epoch 586/1000
0s - loss: 0.0340 - mse: 29.6282 - val_loss: 0.0379 - val_mse: 33.0186
Epoch 587/1000
0s - loss: 0.0340 - mse: 29.5879 - val_loss: 0.0379 - val_mse: 32.9752
Epoch 588/1000
0s - loss: 0.0339 - mse: 29.5477 - val_loss: 0.0378 - val_mse: 32.9303
Epoch 589/1000
0s - loss: 0.0339 - mse: 29.5076 - val_loss: 0.0378 - val_mse: 32.8871
Epoch 590/1000
0s - loss: 0.0338 - mse: 29.4678 - val_loss: 0.0377 - val_mse: 32.8426
Epoch 591/1000
0s - loss: 0.0338 - mse: 29.4280 - val_loss: 0.0377 - val_mse: 32.7980
Epoch 592/1000
0s - loss: 0.0337 - mse: 29.3883 - val_loss: 0.0376 - val_mse: 32.7570
Epoch 593/1000
0s - loss: 0.0337 - mse: 29.3486 - val_loss: 0.0376 - val_mse: 32.7119
Epoch 594/1000
0s - loss: 0.0337 - mse: 29.3092 - val_loss: 0.0375 - val_mse: 32.6690
Epoch 595/1000
0s - loss: 0.0336 - mse: 29.2699 - val_loss: 0.0375 - val_mse: 32.6277
Epoch 596/1000
0s - loss: 0.0336 - mse: 29.2308 - val_loss: 0.0374 - val_mse: 32.5824
Epoch 597/1000
0s - loss: 0.0335 - mse: 29.1918 - val_loss: 0.0374 - val_mse: 32.5404
Epoch 598/1000
0s - loss: 0.0335 - mse: 29.1527 - val_loss: 0.0373 - val_mse: 32.4969
Epoch 599/1000
0s - loss: 0.0334 - mse: 29.1137 - val_loss: 0.0373 - val_mse: 32.4523
Epoch 600/1000
0s - loss: 0.0334 - mse: 29.0744 - val_loss: 0.0372 - val_mse: 32.4081
Epoch 601/1000
0s - loss: 0.0333 - mse: 29.0349 - val_loss: 0.0372 - val_mse: 32.3628
Epoch 602/1000
0s - loss: 0.0333 - mse: 28.9953 - val_loss: 0.0371 - val_mse: 32.3180
Epoch 603/1000
0s - loss: 0.0333 - mse: 28.9564 - val_loss: 0.0371 - val_mse: 32.2763
Epoch 604/1000
0s - loss: 0.0332 - mse: 28.9183 - val_loss: 0.0370 - val_mse: 32.2336
Epoch 605/1000
0s - loss: 0.0332 - mse: 28.8806 - val_loss: 0.0370 - val_mse: 32.1934
Epoch 606/1000
0s - loss: 0.0331 - mse: 28.8439 - val_loss: 0.0369 - val_mse: 32.1545
Epoch 607/1000
0s - loss: 0.0331 - mse: 28.8078 - val_loss: 0.0369 - val_mse: 32.1128
Epoch 608/1000
0s - loss: 0.0330 - mse: 28.7716 - val_loss: 0.0368 - val_mse: 32.0724
Epoch 609/1000
0s - loss: 0.0330 - mse: 28.7354 - val_loss: 0.0368 - val_mse: 32.0331
Epoch 610/1000
0s - loss: 0.0330 - mse: 28.6992 - val_loss: 0.0367 - val_mse: 31.9912
Epoch 611/1000
0s - loss: 0.0329 - mse: 28.6628 - val_loss: 0.0367 - val_mse: 31.9511
Epoch 612/1000
0s - loss: 0.0329 - mse: 28.6264 - val_loss: 0.0366 - val_mse: 31.9128
Epoch 613/1000
0s - loss: 0.0328 - mse: 28.5900 - val_loss: 0.0366 - val_mse: 31.8718
Epoch 614/1000
0s - loss: 0.0328 - mse: 28.5536 - val_loss: 0.0366 - val_mse: 31.8330
Epoch 615/1000
0s - loss: 0.0327 - mse: 28.5174 - val_loss: 0.0365 - val_mse: 31.7955
Epoch 616/1000
0s - loss: 0.0327 - mse: 28.4815 - val_loss: 0.0365 - val_mse: 31.7551
Epoch 617/1000
0s - loss: 0.0327 - mse: 28.4458 - val_loss: 0.0364 - val_mse: 31.7191
Epoch 618/1000
0s - loss: 0.0326 - mse: 28.4101 - val_loss: 0.0364 - val_mse: 31.6814
Epoch 619/1000
0s - loss: 0.0326 - mse: 28.3745 - val_loss: 0.0363 - val_mse: 31.6420
Epoch 620/1000
0s - loss: 0.0325 - mse: 28.3394 - val_loss: 0.0363 - val_mse: 31.6076
Epoch 621/1000
0s - loss: 0.0325 - mse: 28.3045 - val_loss: 0.0363 - val_mse: 31.5718
Epoch 622/1000
0s - loss: 0.0325 - mse: 28.2698 - val_loss: 0.0362 - val_mse: 31.5331
Epoch 623/1000
0s - loss: 0.0324 - mse: 28.2351 - val_loss: 0.0362 - val_mse: 31.5011
Epoch 624/1000
0s - loss: 0.0324 - mse: 28.2009 - val_loss: 0.0361 - val_mse: 31.4603
Epoch 625/1000
0s - loss: 0.0323 - mse: 28.1661 - val_loss: 0.0361 - val_mse: 31.4225
Epoch 626/1000
0s - loss: 0.0323 - mse: 28.1316 - val_loss: 0.0360 - val_mse: 31.3876
Epoch 627/1000
0s - loss: 0.0323 - mse: 28.0972 - val_loss: 0.0360 - val_mse: 31.3469
Epoch 628/1000
0s - loss: 0.0322 - mse: 28.0625 - val_loss: 0.0360 - val_mse: 31.3107
Epoch 629/1000
0s - loss: 0.0322 - mse: 28.0282 - val_loss: 0.0359 - val_mse: 31.2765
Epoch 630/1000
0s - loss: 0.0321 - mse: 27.9946 - val_loss: 0.0359 - val_mse: 31.2361
Epoch 631/1000
0s - loss: 0.0321 - mse: 27.9606 - val_loss: 0.0358 - val_mse: 31.2011
Epoch 632/1000
0s - loss: 0.0321 - mse: 27.9261 - val_loss: 0.0358 - val_mse: 31.1647
Epoch 633/1000
0s - loss: 0.0320 - mse: 27.8918 - val_loss: 0.0357 - val_mse: 31.1259
Epoch 634/1000
0s - loss: 0.0320 - mse: 27.8576 - val_loss: 0.0357 - val_mse: 31.0927
Epoch 635/1000
0s - loss: 0.0319 - mse: 27.8229 - val_loss: 0.0357 - val_mse: 31.0576
Epoch 636/1000
0s - loss: 0.0319 - mse: 27.7884 - val_loss: 0.0356 - val_mse: 31.0232
Epoch 637/1000
0s - loss: 0.0319 - mse: 27.7545 - val_loss: 0.0356 - val_mse: 30.9914
Epoch 638/1000
0s - loss: 0.0318 - mse: 27.7206 - val_loss: 0.0355 - val_mse: 30.9528
Epoch 639/1000
0s - loss: 0.0318 - mse: 27.6863 - val_loss: 0.0355 - val_mse: 30.9163
Epoch 640/1000
0s - loss: 0.0318 - mse: 27.6522 - val_loss: 0.0355 - val_mse: 30.8808
Epoch 641/1000
0s - loss: 0.0317 - mse: 27.6183 - val_loss: 0.0354 - val_mse: 30.8421
Epoch 642/1000
0s - loss: 0.0317 - mse: 27.5845 - val_loss: 0.0354 - val_mse: 30.8076
Epoch 643/1000
0s - loss: 0.0316 - mse: 27.5502 - val_loss: 0.0353 - val_mse: 30.7714
Epoch 644/1000
0s - loss: 0.0316 - mse: 27.5163 - val_loss: 0.0353 - val_mse: 30.7326
Epoch 645/1000
0s - loss: 0.0316 - mse: 27.4828 - val_loss: 0.0353 - val_mse: 30.6977
Epoch 646/1000
0s - loss: 0.0315 - mse: 27.4489 - val_loss: 0.0352 - val_mse: 30.6600
Epoch 647/1000
0s - loss: 0.0315 - mse: 27.4149 - val_loss: 0.0352 - val_mse: 30.6212
Epoch 648/1000
0s - loss: 0.0314 - mse: 27.3810 - val_loss: 0.0351 - val_mse: 30.5871
Epoch 649/1000
0s - loss: 0.0314 - mse: 27.3467 - val_loss: 0.0351 - val_mse: 30.5498
Epoch 650/1000
0s - loss: 0.0314 - mse: 27.3103 - val_loss: 0.0350 - val_mse: 30.5124
Epoch 651/1000
0s - loss: 0.0313 - mse: 27.2718 - val_loss: 0.0350 - val_mse: 30.4765
Epoch 652/1000
0s - loss: 0.0313 - mse: 27.2322 - val_loss: 0.0350 - val_mse: 30.4374
Epoch 653/1000
0s - loss: 0.0312 - mse: 27.1923 - val_loss: 0.0349 - val_mse: 30.3972
Epoch 654/1000
0s - loss: 0.0312 - mse: 27.1539 - val_loss: 0.0349 - val_mse: 30.3582
Epoch 655/1000
0s - loss: 0.0311 - mse: 27.1169 - val_loss: 0.0348 - val_mse: 30.3165
Epoch 656/1000
0s - loss: 0.0311 - mse: 27.0796 - val_loss: 0.0348 - val_mse: 30.2750
Epoch 657/1000
0s - loss: 0.0311 - mse: 27.0435 - val_loss: 0.0347 - val_mse: 30.2364
Epoch 658/1000
0s - loss: 0.0310 - mse: 27.0079 - val_loss: 0.0347 - val_mse: 30.1958
Epoch 659/1000
0s - loss: 0.0310 - mse: 26.9724 - val_loss: 0.0346 - val_mse: 30.1564
Epoch 660/1000
0s - loss: 0.0309 - mse: 26.9371 - val_loss: 0.0346 - val_mse: 30.1201
Epoch 661/1000
0s - loss: 0.0309 - mse: 26.9012 - val_loss: 0.0345 - val_mse: 30.0831
Epoch 662/1000
0s - loss: 0.0309 - mse: 26.8656 - val_loss: 0.0345 - val_mse: 30.0452
Epoch 663/1000
0s - loss: 0.0308 - mse: 26.8301 - val_loss: 0.0345 - val_mse: 30.0075
Epoch 664/1000
0s - loss: 0.0308 - mse: 26.7940 - val_loss: 0.0344 - val_mse: 29.9683
Epoch 665/1000
0s - loss: 0.0307 - mse: 26.7571 - val_loss: 0.0344 - val_mse: 29.9304
Epoch 666/1000
0s - loss: 0.0307 - mse: 26.7202 - val_loss: 0.0343 - val_mse: 29.8947
Epoch 667/1000
0s - loss: 0.0306 - mse: 26.6831 - val_loss: 0.0343 - val_mse: 29.8575
Epoch 668/1000
0s - loss: 0.0306 - mse: 26.6459 - val_loss: 0.0342 - val_mse: 29.8209
Epoch 669/1000
0s - loss: 0.0306 - mse: 26.6091 - val_loss: 0.0342 - val_mse: 29.7813
Epoch 670/1000
0s - loss: 0.0305 - mse: 26.5723 - val_loss: 0.0341 - val_mse: 29.7359
Epoch 671/1000
0s - loss: 0.0305 - mse: 26.5357 - val_loss: 0.0341 - val_mse: 29.6892
Epoch 672/1000
0s - loss: 0.0304 - mse: 26.4990 - val_loss: 0.0340 - val_mse: 29.6441
Epoch 673/1000
0s - loss: 0.0304 - mse: 26.4623 - val_loss: 0.0340 - val_mse: 29.5997
Epoch 674/1000
0s - loss: 0.0303 - mse: 26.4259 - val_loss: 0.0339 - val_mse: 29.5611
Epoch 675/1000
0s - loss: 0.0303 - mse: 26.3895 - val_loss: 0.0339 - val_mse: 29.5270
Epoch 676/1000
0s - loss: 0.0303 - mse: 26.3534 - val_loss: 0.0339 - val_mse: 29.4917
Epoch 677/1000
0s - loss: 0.0302 - mse: 26.3177 - val_loss: 0.0338 - val_mse: 29.4580
Epoch 678/1000
0s - loss: 0.0302 - mse: 26.2818 - val_loss: 0.0338 - val_mse: 29.4219
Epoch 679/1000
0s - loss: 0.0301 - mse: 26.2459 - val_loss: 0.0337 - val_mse: 29.3826
Epoch 680/1000
0s - loss: 0.0301 - mse: 26.2104 - val_loss: 0.0337 - val_mse: 29.3464
Epoch 681/1000
0s - loss: 0.0301 - mse: 26.1746 - val_loss: 0.0337 - val_mse: 29.3113
Epoch 682/1000
0s - loss: 0.0300 - mse: 26.1389 - val_loss: 0.0336 - val_mse: 29.2729
Epoch 683/1000
0s - loss: 0.0300 - mse: 26.1031 - val_loss: 0.0336 - val_mse: 29.2364
Epoch 684/1000
0s - loss: 0.0299 - mse: 26.0672 - val_loss: 0.0335 - val_mse: 29.1985
Epoch 685/1000
0s - loss: 0.0299 - mse: 26.0317 - val_loss: 0.0335 - val_mse: 29.1570
Epoch 686/1000
0s - loss: 0.0299 - mse: 25.9958 - val_loss: 0.0334 - val_mse: 29.1189
Epoch 687/1000
1s - loss: 0.0298 - mse: 25.9601 - val_loss: 0.0334 - val_mse: 29.0814
Epoch 688/1000
0s - loss: 0.0298 - mse: 25.9248 - val_loss: 0.0334 - val_mse: 29.0444
Epoch 689/1000
0s - loss: 0.0297 - mse: 25.8899 - val_loss: 0.0333 - val_mse: 29.0112
Epoch 690/1000
0s - loss: 0.0297 - mse: 25.8547 - val_loss: 0.0333 - val_mse: 28.9785
Epoch 691/1000
0s - loss: 0.0296 - mse: 25.8196 - val_loss: 0.0332 - val_mse: 28.9440
Epoch 692/1000
0s - loss: 0.0296 - mse: 25.7850 - val_loss: 0.0332 - val_mse: 28.9109
Epoch 693/1000
0s - loss: 0.0296 - mse: 25.7516 - val_loss: 0.0332 - val_mse: 28.8785
Epoch 694/1000
0s - loss: 0.0295 - mse: 25.7188 - val_loss: 0.0331 - val_mse: 28.8454
Epoch 695/1000
0s - loss: 0.0295 - mse: 25.6860 - val_loss: 0.0331 - val_mse: 28.8097
Epoch 696/1000
0s - loss: 0.0295 - mse: 25.6532 - val_loss: 0.0330 - val_mse: 28.7733
Epoch 697/1000
0s - loss: 0.0294 - mse: 25.6203 - val_loss: 0.0330 - val_mse: 28.7355
Epoch 698/1000
0s - loss: 0.0294 - mse: 25.5874 - val_loss: 0.0330 - val_mse: 28.6992
Epoch 699/1000
0s - loss: 0.0293 - mse: 25.5545 - val_loss: 0.0329 - val_mse: 28.6644
Epoch 700/1000
0s - loss: 0.0293 - mse: 25.5216 - val_loss: 0.0329 - val_mse: 28.6328
Epoch 701/1000
0s - loss: 0.0293 - mse: 25.4888 - val_loss: 0.0328 - val_mse: 28.6025
Epoch 702/1000
0s - loss: 0.0292 - mse: 25.4560 - val_loss: 0.0328 - val_mse: 28.5715
Epoch 703/1000
0s - loss: 0.0292 - mse: 25.4230 - val_loss: 0.0328 - val_mse: 28.5399
Epoch 704/1000
0s - loss: 0.0292 - mse: 25.3906 - val_loss: 0.0327 - val_mse: 28.5083
Epoch 705/1000
0s - loss: 0.0291 - mse: 25.3584 - val_loss: 0.0327 - val_mse: 28.4774
Epoch 706/1000
0s - loss: 0.0291 - mse: 25.3262 - val_loss: 0.0327 - val_mse: 28.4467
Epoch 707/1000
0s - loss: 0.0290 - mse: 25.2939 - val_loss: 0.0326 - val_mse: 28.4160
Epoch 708/1000
0s - loss: 0.0290 - mse: 25.2618 - val_loss: 0.0326 - val_mse: 28.3814
Epoch 709/1000
0s - loss: 0.0290 - mse: 25.2298 - val_loss: 0.0326 - val_mse: 28.3470
Epoch 710/1000
0s - loss: 0.0289 - mse: 25.1982 - val_loss: 0.0325 - val_mse: 28.3152
Epoch 711/1000
0s - loss: 0.0289 - mse: 25.1670 - val_loss: 0.0325 - val_mse: 28.2863
Epoch 712/1000
0s - loss: 0.0289 - mse: 25.1357 - val_loss: 0.0324 - val_mse: 28.2548
Epoch 713/1000
0s - loss: 0.0288 - mse: 25.1045 - val_loss: 0.0324 - val_mse: 28.2226
Epoch 714/1000
0s - loss: 0.0288 - mse: 25.0733 - val_loss: 0.0324 - val_mse: 28.1921
Epoch 715/1000
0s - loss: 0.0288 - mse: 25.0417 - val_loss: 0.0323 - val_mse: 28.1608
Epoch 716/1000
0s - loss: 0.0287 - mse: 25.0099 - val_loss: 0.0323 - val_mse: 28.1296
Epoch 717/1000
0s - loss: 0.0287 - mse: 24.9780 - val_loss: 0.0323 - val_mse: 28.0992
Epoch 718/1000
0s - loss: 0.0286 - mse: 24.9462 - val_loss: 0.0322 - val_mse: 28.0585
Epoch 719/1000
0s - loss: 0.0286 - mse: 24.9145 - val_loss: 0.0322 - val_mse: 28.0225
Epoch 720/1000
0s - loss: 0.0286 - mse: 24.8826 - val_loss: 0.0321 - val_mse: 27.9917
Epoch 721/1000
0s - loss: 0.0285 - mse: 24.8509 - val_loss: 0.0321 - val_mse: 27.9522
Epoch 722/1000
0s - loss: 0.0285 - mse: 24.8187 - val_loss: 0.0321 - val_mse: 27.9162
Epoch 723/1000
0s - loss: 0.0285 - mse: 24.7868 - val_loss: 0.0320 - val_mse: 27.8839
Epoch 724/1000
0s - loss: 0.0284 - mse: 24.7552 - val_loss: 0.0320 - val_mse: 27.8446
Epoch 725/1000
0s - loss: 0.0284 - mse: 24.7230 - val_loss: 0.0319 - val_mse: 27.8132
Epoch 726/1000
0s - loss: 0.0284 - mse: 24.6912 - val_loss: 0.0319 - val_mse: 27.7778
Epoch 727/1000
0s - loss: 0.0283 - mse: 24.6589 - val_loss: 0.0319 - val_mse: 27.7473
Epoch 728/1000
0s - loss: 0.0283 - mse: 24.6272 - val_loss: 0.0318 - val_mse: 27.7124
Epoch 729/1000
0s - loss: 0.0282 - mse: 24.5956 - val_loss: 0.0318 - val_mse: 27.6820
Epoch 730/1000
0s - loss: 0.0282 - mse: 24.5645 - val_loss: 0.0318 - val_mse: 27.6537
Epoch 731/1000
0s - loss: 0.0282 - mse: 24.5343 - val_loss: 0.0317 - val_mse: 27.6184
Epoch 732/1000
0s - loss: 0.0281 - mse: 24.5033 - val_loss: 0.0317 - val_mse: 27.5858
Epoch 733/1000
0s - loss: 0.0281 - mse: 24.4741 - val_loss: 0.0316 - val_mse: 27.5605
Epoch 734/1000
0s - loss: 0.0281 - mse: 24.4439 - val_loss: 0.0316 - val_mse: 27.5342
Epoch 735/1000
0s - loss: 0.0280 - mse: 24.4152 - val_loss: 0.0316 - val_mse: 27.5028
Epoch 736/1000
0s - loss: 0.0280 - mse: 24.3862 - val_loss: 0.0316 - val_mse: 27.4753
Epoch 737/1000
0s - loss: 0.0280 - mse: 24.3581 - val_loss: 0.0315 - val_mse: 27.4436
Epoch 738/1000
0s - loss: 0.0279 - mse: 24.3302 - val_loss: 0.0315 - val_mse: 27.4122
Epoch 739/1000
0s - loss: 0.0279 - mse: 24.3033 - val_loss: 0.0314 - val_mse: 27.3861
Epoch 740/1000
0s - loss: 0.0279 - mse: 24.2757 - val_loss: 0.0314 - val_mse: 27.3568
Epoch 741/1000
0s - loss: 0.0278 - mse: 24.2490 - val_loss: 0.0314 - val_mse: 27.3252
Epoch 742/1000
0s - loss: 0.0278 - mse: 24.2227 - val_loss: 0.0313 - val_mse: 27.2977
Epoch 743/1000
0s - loss: 0.0278 - mse: 24.1962 - val_loss: 0.0313 - val_mse: 27.2732
Epoch 744/1000
0s - loss: 0.0278 - mse: 24.1708 - val_loss: 0.0313 - val_mse: 27.2409
Epoch 745/1000
0s - loss: 0.0277 - mse: 24.1442 - val_loss: 0.0312 - val_mse: 27.2067
Epoch 746/1000
0s - loss: 0.0277 - mse: 24.1187 - val_loss: 0.0312 - val_mse: 27.1808
Epoch 747/1000
0s - loss: 0.0277 - mse: 24.0920 - val_loss: 0.0312 - val_mse: 27.1630
Epoch 748/1000
0s - loss: 0.0276 - mse: 24.0665 - val_loss: 0.0312 - val_mse: 27.1358
Epoch 749/1000
0s - loss: 0.0276 - mse: 24.0404 - val_loss: 0.0311 - val_mse: 27.1000
Epoch 750/1000
0s - loss: 0.0276 - mse: 24.0134 - val_loss: 0.0311 - val_mse: 27.0640
Epoch 751/1000
0s - loss: 0.0275 - mse: 23.9878 - val_loss: 0.0310 - val_mse: 27.0368
Epoch 752/1000
0s - loss: 0.0275 - mse: 23.9606 - val_loss: 0.0310 - val_mse: 27.0203
Epoch 753/1000
0s - loss: 0.0275 - mse: 23.9357 - val_loss: 0.0310 - val_mse: 26.9937
Epoch 754/1000
0s - loss: 0.0275 - mse: 23.9099 - val_loss: 0.0310 - val_mse: 26.9551
Epoch 755/1000
0s - loss: 0.0274 - mse: 23.8828 - val_loss: 0.0309 - val_mse: 26.9183
Epoch 756/1000
0s - loss: 0.0274 - mse: 23.8573 - val_loss: 0.0309 - val_mse: 26.8960
Epoch 757/1000
0s - loss: 0.0274 - mse: 23.8304 - val_loss: 0.0309 - val_mse: 26.8765
Epoch 758/1000
0s - loss: 0.0273 - mse: 23.8046 - val_loss: 0.0308 - val_mse: 26.8508
Epoch 759/1000
0s - loss: 0.0273 - mse: 23.7786 - val_loss: 0.0308 - val_mse: 26.8189
Epoch 760/1000
0s - loss: 0.0273 - mse: 23.7530 - val_loss: 0.0308 - val_mse: 26.7937
Epoch 761/1000
0s - loss: 0.0272 - mse: 23.7270 - val_loss: 0.0307 - val_mse: 26.7727
Epoch 762/1000
0s - loss: 0.0272 - mse: 23.7014 - val_loss: 0.0307 - val_mse: 26.7416
Epoch 763/1000
0s - loss: 0.0272 - mse: 23.6755 - val_loss: 0.0307 - val_mse: 26.7146
Epoch 764/1000
0s - loss: 0.0272 - mse: 23.6501 - val_loss: 0.0306 - val_mse: 26.6807
Epoch 765/1000
0s - loss: 0.0271 - mse: 23.6249 - val_loss: 0.0306 - val_mse: 26.6529
Epoch 766/1000
0s - loss: 0.0271 - mse: 23.5992 - val_loss: 0.0306 - val_mse: 26.6313
Epoch 767/1000
0s - loss: 0.0271 - mse: 23.5739 - val_loss: 0.0305 - val_mse: 26.5970
Epoch 768/1000
0s - loss: 0.0270 - mse: 23.5486 - val_loss: 0.0305 - val_mse: 26.5673
Epoch 769/1000
0s - loss: 0.0270 - mse: 23.5233 - val_loss: 0.0305 - val_mse: 26.5438
Epoch 770/1000
0s - loss: 0.0270 - mse: 23.4980 - val_loss: 0.0304 - val_mse: 26.5137
Epoch 771/1000
0s - loss: 0.0270 - mse: 23.4730 - val_loss: 0.0304 - val_mse: 26.4890
Epoch 772/1000
0s - loss: 0.0269 - mse: 23.4478 - val_loss: 0.0304 - val_mse: 26.4560
Epoch 773/1000
0s - loss: 0.0269 - mse: 23.4229 - val_loss: 0.0304 - val_mse: 26.4323
Epoch 774/1000
0s - loss: 0.0269 - mse: 23.3978 - val_loss: 0.0303 - val_mse: 26.4106
Epoch 775/1000
0s - loss: 0.0268 - mse: 23.3730 - val_loss: 0.0303 - val_mse: 26.3838
Epoch 776/1000
0s - loss: 0.0268 - mse: 23.3484 - val_loss: 0.0303 - val_mse: 26.3467
Epoch 777/1000
0s - loss: 0.0268 - mse: 23.3241 - val_loss: 0.0302 - val_mse: 26.3209
Epoch 778/1000
0s - loss: 0.0268 - mse: 23.2991 - val_loss: 0.0302 - val_mse: 26.3037
Epoch 779/1000
0s - loss: 0.0267 - mse: 23.2739 - val_loss: 0.0302 - val_mse: 26.2751
Epoch 780/1000
0s - loss: 0.0267 - mse: 23.2491 - val_loss: 0.0301 - val_mse: 26.2464
Epoch 781/1000
0s - loss: 0.0267 - mse: 23.2247 - val_loss: 0.0301 - val_mse: 26.2155
Epoch 782/1000
0s - loss: 0.0266 - mse: 23.2003 - val_loss: 0.0301 - val_mse: 26.1893
Epoch 783/1000
0s - loss: 0.0266 - mse: 23.1763 - val_loss: 0.0300 - val_mse: 26.1563
Epoch 784/1000
0s - loss: 0.0266 - mse: 23.1520 - val_loss: 0.0300 - val_mse: 26.1294
Epoch 785/1000
0s - loss: 0.0266 - mse: 23.1276 - val_loss: 0.0300 - val_mse: 26.1107
Epoch 786/1000
0s - loss: 0.0265 - mse: 23.1041 - val_loss: 0.0299 - val_mse: 26.0775
Epoch 787/1000
0s - loss: 0.0265 - mse: 23.0794 - val_loss: 0.0299 - val_mse: 26.0498
Epoch 788/1000
0s - loss: 0.0265 - mse: 23.0555 - val_loss: 0.0299 - val_mse: 26.0271
Epoch 789/1000
0s - loss: 0.0264 - mse: 23.0314 - val_loss: 0.0299 - val_mse: 25.9956
Epoch 790/1000
0s - loss: 0.0264 - mse: 23.0079 - val_loss: 0.0298 - val_mse: 25.9756
Epoch 791/1000
0s - loss: 0.0264 - mse: 22.9839 - val_loss: 0.0298 - val_mse: 25.9431
Epoch 792/1000
0s - loss: 0.0264 - mse: 22.9604 - val_loss: 0.0298 - val_mse: 25.9207
Epoch 793/1000
0s - loss: 0.0263 - mse: 22.9362 - val_loss: 0.0297 - val_mse: 25.9028
Epoch 794/1000
0s - loss: 0.0263 - mse: 22.9137 - val_loss: 0.0297 - val_mse: 25.8629
Epoch 795/1000
0s - loss: 0.0263 - mse: 22.8892 - val_loss: 0.0297 - val_mse: 25.8400
Epoch 796/1000
0s - loss: 0.0263 - mse: 22.8651 - val_loss: 0.0296 - val_mse: 25.8108
Epoch 797/1000
0s - loss: 0.0262 - mse: 22.8414 - val_loss: 0.0296 - val_mse: 25.7912
Epoch 798/1000
0s - loss: 0.0262 - mse: 22.8186 - val_loss: 0.0296 - val_mse: 25.7523
Epoch 799/1000
0s - loss: 0.0262 - mse: 22.7950 - val_loss: 0.0295 - val_mse: 25.7258
Epoch 800/1000
0s - loss: 0.0261 - mse: 22.7716 - val_loss: 0.0295 - val_mse: 25.7072
Epoch 801/1000
0s - loss: 0.0261 - mse: 22.7478 - val_loss: 0.0295 - val_mse: 25.6760
Epoch 802/1000
0s - loss: 0.0261 - mse: 22.7245 - val_loss: 0.0295 - val_mse: 25.6495
Epoch 803/1000
0s - loss: 0.0261 - mse: 22.7016 - val_loss: 0.0294 - val_mse: 25.6247
Epoch 804/1000
0s - loss: 0.0260 - mse: 22.6783 - val_loss: 0.0294 - val_mse: 25.6041
Epoch 805/1000
0s - loss: 0.0260 - mse: 22.6556 - val_loss: 0.0294 - val_mse: 25.5686
Epoch 806/1000
0s - loss: 0.0260 - mse: 22.6321 - val_loss: 0.0293 - val_mse: 25.5439
Epoch 807/1000
0s - loss: 0.0260 - mse: 22.6086 - val_loss: 0.0293 - val_mse: 25.5285
Epoch 808/1000
0s - loss: 0.0259 - mse: 22.5867 - val_loss: 0.0293 - val_mse: 25.4927
Epoch 809/1000
0s - loss: 0.0259 - mse: 22.5621 - val_loss: 0.0292 - val_mse: 25.4683
Epoch 810/1000
0s - loss: 0.0259 - mse: 22.5389 - val_loss: 0.0292 - val_mse: 25.4469
Epoch 811/1000
0s - loss: 0.0259 - mse: 22.5169 - val_loss: 0.0292 - val_mse: 25.4101
Epoch 812/1000
0s - loss: 0.0258 - mse: 22.4943 - val_loss: 0.0292 - val_mse: 25.3867
Epoch 813/1000
0s - loss: 0.0258 - mse: 22.4714 - val_loss: 0.0291 - val_mse: 25.3704
Epoch 814/1000
0s - loss: 0.0258 - mse: 22.4494 - val_loss: 0.0291 - val_mse: 25.3359
Epoch 815/1000
0s - loss: 0.0258 - mse: 22.4261 - val_loss: 0.0291 - val_mse: 25.3071
Epoch 816/1000
0s - loss: 0.0257 - mse: 22.4037 - val_loss: 0.0290 - val_mse: 25.2790
Epoch 817/1000
0s - loss: 0.0257 - mse: 22.3806 - val_loss: 0.0290 - val_mse: 25.2595
Epoch 818/1000
0s - loss: 0.0257 - mse: 22.3576 - val_loss: 0.0290 - val_mse: 25.2396
Epoch 819/1000
0s - loss: 0.0256 - mse: 22.3352 - val_loss: 0.0289 - val_mse: 25.2084
Epoch 820/1000
0s - loss: 0.0256 - mse: 22.3125 - val_loss: 0.0289 - val_mse: 25.1827
Epoch 821/1000
0s - loss: 0.0256 - mse: 22.2903 - val_loss: 0.0289 - val_mse: 25.1602
Epoch 822/1000
0s - loss: 0.0256 - mse: 22.2687 - val_loss: 0.0289 - val_mse: 25.1249
Epoch 823/1000
0s - loss: 0.0255 - mse: 22.2465 - val_loss: 0.0288 - val_mse: 25.1033
Epoch 824/1000
0s - loss: 0.0255 - mse: 22.2242 - val_loss: 0.0288 - val_mse: 25.0793
Epoch 825/1000
0s - loss: 0.0255 - mse: 22.2024 - val_loss: 0.0288 - val_mse: 25.0503
Epoch 826/1000
0s - loss: 0.0255 - mse: 22.1807 - val_loss: 0.0287 - val_mse: 25.0252
Epoch 827/1000
0s - loss: 0.0254 - mse: 22.1588 - val_loss: 0.0287 - val_mse: 24.9975
Epoch 828/1000
0s - loss: 0.0254 - mse: 22.1373 - val_loss: 0.0287 - val_mse: 24.9760
Epoch 829/1000
0s - loss: 0.0254 - mse: 22.1157 - val_loss: 0.0287 - val_mse: 24.9597
Epoch 830/1000
0s - loss: 0.0254 - mse: 22.0948 - val_loss: 0.0286 - val_mse: 24.9230
Epoch 831/1000
0s - loss: 0.0253 - mse: 22.0737 - val_loss: 0.0286 - val_mse: 24.9022
Epoch 832/1000
0s - loss: 0.0253 - mse: 22.0524 - val_loss: 0.0286 - val_mse: 24.8876
Epoch 833/1000
0s - loss: 0.0253 - mse: 22.0315 - val_loss: 0.0285 - val_mse: 24.8624
Epoch 834/1000
0s - loss: 0.0253 - mse: 22.0107 - val_loss: 0.0285 - val_mse: 24.8329
Epoch 835/1000
0s - loss: 0.0253 - mse: 21.9896 - val_loss: 0.0285 - val_mse: 24.8054
Epoch 836/1000
0s - loss: 0.0252 - mse: 21.9693 - val_loss: 0.0285 - val_mse: 24.7849
Epoch 837/1000
0s - loss: 0.0252 - mse: 21.9486 - val_loss: 0.0284 - val_mse: 24.7728
Epoch 838/1000
0s - loss: 0.0252 - mse: 21.9286 - val_loss: 0.0284 - val_mse: 24.7424
Epoch 839/1000
0s - loss: 0.0252 - mse: 21.9077 - val_loss: 0.0284 - val_mse: 24.7162
Epoch 840/1000
0s - loss: 0.0251 - mse: 21.8877 - val_loss: 0.0284 - val_mse: 24.6993
Epoch 841/1000
0s - loss: 0.0251 - mse: 21.8674 - val_loss: 0.0283 - val_mse: 24.6836
Epoch 842/1000
0s - loss: 0.0251 - mse: 21.8474 - val_loss: 0.0283 - val_mse: 24.6555
Epoch 843/1000
0s - loss: 0.0251 - mse: 21.8266 - val_loss: 0.0283 - val_mse: 24.6341
Epoch 844/1000
0s - loss: 0.0250 - mse: 21.8069 - val_loss: 0.0283 - val_mse: 24.6122
Epoch 845/1000
0s - loss: 0.0250 - mse: 21.7869 - val_loss: 0.0282 - val_mse: 24.5876
Epoch 846/1000
0s - loss: 0.0250 - mse: 21.7663 - val_loss: 0.0282 - val_mse: 24.5667
Epoch 847/1000
0s - loss: 0.0250 - mse: 21.7467 - val_loss: 0.0282 - val_mse: 24.5423
Epoch 848/1000
0s - loss: 0.0249 - mse: 21.7272 - val_loss: 0.0282 - val_mse: 24.5178
Epoch 849/1000
0s - loss: 0.0249 - mse: 21.7073 - val_loss: 0.0281 - val_mse: 24.4983
Epoch 850/1000
0s - loss: 0.0249 - mse: 21.6878 - val_loss: 0.0281 - val_mse: 24.4744
Epoch 851/1000
0s - loss: 0.0249 - mse: 21.6683 - val_loss: 0.0281 - val_mse: 24.4648
Epoch 852/1000
0s - loss: 0.0249 - mse: 21.6487 - val_loss: 0.0281 - val_mse: 24.4337
Epoch 853/1000
0s - loss: 0.0248 - mse: 21.6289 - val_loss: 0.0280 - val_mse: 24.4118
Epoch 854/1000
0s - loss: 0.0248 - mse: 21.6097 - val_loss: 0.0280 - val_mse: 24.3966
Epoch 855/1000
0s - loss: 0.0248 - mse: 21.5910 - val_loss: 0.0280 - val_mse: 24.3616
Epoch 856/1000
0s - loss: 0.0248 - mse: 21.5725 - val_loss: 0.0280 - val_mse: 24.3504
Epoch 857/1000
0s - loss: 0.0247 - mse: 21.5531 - val_loss: 0.0279 - val_mse: 24.3302
Epoch 858/1000
0s - loss: 0.0247 - mse: 21.5346 - val_loss: 0.0279 - val_mse: 24.3065
Epoch 859/1000
0s - loss: 0.0247 - mse: 21.5156 - val_loss: 0.0279 - val_mse: 24.2809
Epoch 860/1000
0s - loss: 0.0247 - mse: 21.4970 - val_loss: 0.0278 - val_mse: 24.2522
Epoch 861/1000
0s - loss: 0.0247 - mse: 21.4786 - val_loss: 0.0278 - val_mse: 24.2442
Epoch 862/1000
0s - loss: 0.0246 - mse: 21.4600 - val_loss: 0.0278 - val_mse: 24.2158
Epoch 863/1000
0s - loss: 0.0246 - mse: 21.4414 - val_loss: 0.0278 - val_mse: 24.1921
Epoch 864/1000
0s - loss: 0.0246 - mse: 21.4232 - val_loss: 0.0278 - val_mse: 24.1713
Epoch 865/1000
0s - loss: 0.0246 - mse: 21.4051 - val_loss: 0.0277 - val_mse: 24.1495
Epoch 866/1000
0s - loss: 0.0246 - mse: 21.3871 - val_loss: 0.0277 - val_mse: 24.1343
Epoch 867/1000
0s - loss: 0.0245 - mse: 21.3692 - val_loss: 0.0277 - val_mse: 24.1059
Epoch 868/1000
0s - loss: 0.0245 - mse: 21.3516 - val_loss: 0.0277 - val_mse: 24.0907
Epoch 869/1000
0s - loss: 0.0245 - mse: 21.3337 - val_loss: 0.0276 - val_mse: 24.0734
Epoch 870/1000
0s - loss: 0.0245 - mse: 21.3162 - val_loss: 0.0276 - val_mse: 24.0507
Epoch 871/1000
0s - loss: 0.0245 - mse: 21.2985 - val_loss: 0.0276 - val_mse: 24.0284
Epoch 872/1000
0s - loss: 0.0244 - mse: 21.2811 - val_loss: 0.0276 - val_mse: 24.0059
Epoch 873/1000
0s - loss: 0.0244 - mse: 21.2636 - val_loss: 0.0276 - val_mse: 23.9918
Epoch 874/1000
0s - loss: 0.0244 - mse: 21.2459 - val_loss: 0.0275 - val_mse: 23.9725
Epoch 875/1000
0s - loss: 0.0244 - mse: 21.2285 - val_loss: 0.0275 - val_mse: 23.9506
Epoch 876/1000
0s - loss: 0.0244 - mse: 21.2108 - val_loss: 0.0275 - val_mse: 23.9269
Epoch 877/1000
0s - loss: 0.0243 - mse: 21.1932 - val_loss: 0.0275 - val_mse: 23.9058
Epoch 878/1000
0s - loss: 0.0243 - mse: 21.1755 - val_loss: 0.0274 - val_mse: 23.8909
Epoch 879/1000
0s - loss: 0.0243 - mse: 21.1580 - val_loss: 0.0274 - val_mse: 23.8674
Epoch 880/1000
0s - loss: 0.0243 - mse: 21.1406 - val_loss: 0.0274 - val_mse: 23.8487
Epoch 881/1000
0s - loss: 0.0243 - mse: 21.1233 - val_loss: 0.0274 - val_mse: 23.8234
Epoch 882/1000
0s - loss: 0.0242 - mse: 21.1059 - val_loss: 0.0273 - val_mse: 23.8038
Epoch 883/1000
0s - loss: 0.0242 - mse: 21.0885 - val_loss: 0.0273 - val_mse: 23.7841
Epoch 884/1000
0s - loss: 0.0242 - mse: 21.0712 - val_loss: 0.0273 - val_mse: 23.7590
Epoch 885/1000
0s - loss: 0.0242 - mse: 21.0541 - val_loss: 0.0273 - val_mse: 23.7447
Epoch 886/1000
0s - loss: 0.0242 - mse: 21.0370 - val_loss: 0.0272 - val_mse: 23.7179
Epoch 887/1000
0s - loss: 0.0241 - mse: 21.0198 - val_loss: 0.0272 - val_mse: 23.7069
Epoch 888/1000
0s - loss: 0.0241 - mse: 21.0026 - val_loss: 0.0272 - val_mse: 23.6807
Epoch 889/1000
0s - loss: 0.0241 - mse: 20.9854 - val_loss: 0.0272 - val_mse: 23.6617
Epoch 890/1000
0s - loss: 0.0241 - mse: 20.9681 - val_loss: 0.0271 - val_mse: 23.6403
Epoch 891/1000
0s - loss: 0.0241 - mse: 20.9508 - val_loss: 0.0271 - val_mse: 23.6156
Epoch 892/1000
0s - loss: 0.0240 - mse: 20.9336 - val_loss: 0.0271 - val_mse: 23.6055
Epoch 893/1000
0s - loss: 0.0240 - mse: 20.9167 - val_loss: 0.0271 - val_mse: 23.5719
Epoch 894/1000
0s - loss: 0.0240 - mse: 20.8999 - val_loss: 0.0271 - val_mse: 23.5670
Epoch 895/1000
0s - loss: 0.0240 - mse: 20.8827 - val_loss: 0.0270 - val_mse: 23.5306
Epoch 896/1000
0s - loss: 0.0240 - mse: 20.8655 - val_loss: 0.0270 - val_mse: 23.5263
Epoch 897/1000
0s - loss: 0.0239 - mse: 20.8480 - val_loss: 0.0270 - val_mse: 23.4946
Epoch 898/1000
0s - loss: 0.0239 - mse: 20.8306 - val_loss: 0.0270 - val_mse: 23.4824
Epoch 899/1000
0s - loss: 0.0239 - mse: 20.8133 - val_loss: 0.0269 - val_mse: 23.4601
Epoch 900/1000
0s - loss: 0.0239 - mse: 20.7961 - val_loss: 0.0269 - val_mse: 23.4409
Epoch 901/1000
0s - loss: 0.0239 - mse: 20.7791 - val_loss: 0.0269 - val_mse: 23.4276
Epoch 902/1000
0s - loss: 0.0238 - mse: 20.7621 - val_loss: 0.0269 - val_mse: 23.3948
Epoch 903/1000
0s - loss: 0.0238 - mse: 20.7449 - val_loss: 0.0269 - val_mse: 23.3918
Epoch 904/1000
0s - loss: 0.0238 - mse: 20.7282 - val_loss: 0.0268 - val_mse: 23.3542
Epoch 905/1000
0s - loss: 0.0238 - mse: 20.7112 - val_loss: 0.0268 - val_mse: 23.3603
Epoch 906/1000
0s - loss: 0.0238 - mse: 20.6941 - val_loss: 0.0268 - val_mse: 23.3116
Epoch 907/1000
0s - loss: 0.0237 - mse: 20.6768 - val_loss: 0.0268 - val_mse: 23.3110
Epoch 908/1000
0s - loss: 0.0237 - mse: 20.6593 - val_loss: 0.0267 - val_mse: 23.2771
Epoch 909/1000
0s - loss: 0.0237 - mse: 20.6415 - val_loss: 0.0267 - val_mse: 23.2688
Epoch 910/1000
0s - loss: 0.0237 - mse: 20.6242 - val_loss: 0.0267 - val_mse: 23.2449
Epoch 911/1000
0s - loss: 0.0237 - mse: 20.6072 - val_loss: 0.0267 - val_mse: 23.2217
Epoch 912/1000
0s - loss: 0.0236 - mse: 20.5906 - val_loss: 0.0267 - val_mse: 23.2128
Epoch 913/1000
0s - loss: 0.0236 - mse: 20.5740 - val_loss: 0.0266 - val_mse: 23.1879
Epoch 914/1000
0s - loss: 0.0236 - mse: 20.5580 - val_loss: 0.0266 - val_mse: 23.1900
Epoch 915/1000
0s - loss: 0.0236 - mse: 20.5423 - val_loss: 0.0266 - val_mse: 23.1474
Epoch 916/1000

Epoch 00915: reducing learning rate to 0.00343000004068.
0s - loss: 0.0236 - mse: 20.5271 - val_loss: 0.0266 - val_mse: 23.1668
Epoch 917/1000
0s - loss: 0.0236 - mse: 20.5123 - val_loss: 0.0266 - val_mse: 23.1222
Epoch 918/1000
0s - loss: 0.0235 - mse: 20.4990 - val_loss: 0.0265 - val_mse: 23.1172
Epoch 919/1000
0s - loss: 0.0235 - mse: 20.4870 - val_loss: 0.0266 - val_mse: 23.1335
Epoch 920/1000
0s - loss: 0.0235 - mse: 20.4773 - val_loss: 0.0265 - val_mse: 23.0937
Epoch 921/1000
0s - loss: 0.0235 - mse: 20.4642 - val_loss: 0.0265 - val_mse: 23.0780
Epoch 922/1000
0s - loss: 0.0235 - mse: 20.4532 - val_loss: 0.0265 - val_mse: 23.0944
Epoch 923/1000
0s - loss: 0.0235 - mse: 20.4427 - val_loss: 0.0265 - val_mse: 23.0666
Epoch 924/1000
0s - loss: 0.0235 - mse: 20.4302 - val_loss: 0.0265 - val_mse: 23.0515
Epoch 925/1000
0s - loss: 0.0234 - mse: 20.4200 - val_loss: 0.0265 - val_mse: 23.0679
Epoch 926/1000
0s - loss: 0.0234 - mse: 20.4092 - val_loss: 0.0265 - val_mse: 23.0405
Epoch 927/1000
0s - loss: 0.0234 - mse: 20.3973 - val_loss: 0.0264 - val_mse: 23.0202
Epoch 928/1000
0s - loss: 0.0234 - mse: 20.3872 - val_loss: 0.0265 - val_mse: 23.0355
Epoch 929/1000
0s - loss: 0.0234 - mse: 20.3763 - val_loss: 0.0264 - val_mse: 23.0176
Epoch 930/1000
0s - loss: 0.0234 - mse: 20.3649 - val_loss: 0.0264 - val_mse: 22.9969
Epoch 931/1000
0s - loss: 0.0234 - mse: 20.3547 - val_loss: 0.0264 - val_mse: 23.0061
Epoch 932/1000

Epoch 00931: reducing learning rate to 0.00240100002848.
0s - loss: 0.0234 - mse: 20.3438 - val_loss: 0.0264 - val_mse: 22.9837
Epoch 933/1000
0s - loss: 0.0233 - mse: 20.3325 - val_loss: 0.0264 - val_mse: 22.9699
Epoch 934/1000
0s - loss: 0.0233 - mse: 20.3252 - val_loss: 0.0264 - val_mse: 22.9706
Epoch 935/1000
0s - loss: 0.0233 - mse: 20.3175 - val_loss: 0.0264 - val_mse: 22.9724
Epoch 936/1000
0s - loss: 0.0233 - mse: 20.3101 - val_loss: 0.0264 - val_mse: 22.9586
Epoch 937/1000
0s - loss: 0.0233 - mse: 20.3025 - val_loss: 0.0263 - val_mse: 22.9462
Epoch 938/1000
0s - loss: 0.0233 - mse: 20.2951 - val_loss: 0.0263 - val_mse: 22.9444
Epoch 939/1000
0s - loss: 0.0233 - mse: 20.2876 - val_loss: 0.0263 - val_mse: 22.9415
Epoch 940/1000
0s - loss: 0.0233 - mse: 20.2802 - val_loss: 0.0263 - val_mse: 22.9318
Epoch 941/1000
0s - loss: 0.0233 - mse: 20.2728 - val_loss: 0.0263 - val_mse: 22.9268
Epoch 942/1000
0s - loss: 0.0233 - mse: 20.2654 - val_loss: 0.0263 - val_mse: 22.9251
Epoch 943/1000
0s - loss: 0.0233 - mse: 20.2580 - val_loss: 0.0263 - val_mse: 22.9161
Epoch 944/1000
0s - loss: 0.0233 - mse: 20.2506 - val_loss: 0.0263 - val_mse: 22.9056
Epoch 945/1000
0s - loss: 0.0232 - mse: 20.2433 - val_loss: 0.0263 - val_mse: 22.9030
Epoch 946/1000

Epoch 00945: reducing learning rate to 0.00168070008513.
0s - loss: 0.0232 - mse: 20.2359 - val_loss: 0.0263 - val_mse: 22.9016
Epoch 947/1000
0s - loss: 0.0232 - mse: 20.2286 - val_loss: 0.0263 - val_mse: 22.8941
Epoch 948/1000
0s - loss: 0.0232 - mse: 20.2234 - val_loss: 0.0263 - val_mse: 22.8870
Epoch 949/1000
0s - loss: 0.0232 - mse: 20.2183 - val_loss: 0.0263 - val_mse: 22.8840
Epoch 950/1000
0s - loss: 0.0232 - mse: 20.2131 - val_loss: 0.0263 - val_mse: 22.8829
Epoch 951/1000
0s - loss: 0.0232 - mse: 20.2080 - val_loss: 0.0263 - val_mse: 22.8800
Epoch 952/1000
0s - loss: 0.0232 - mse: 20.2029 - val_loss: 0.0263 - val_mse: 22.8745
Epoch 953/1000
0s - loss: 0.0232 - mse: 20.1978 - val_loss: 0.0263 - val_mse: 22.8699
Epoch 954/1000
0s - loss: 0.0232 - mse: 20.1927 - val_loss: 0.0263 - val_mse: 22.8673
Epoch 955/1000
0s - loss: 0.0232 - mse: 20.1876 - val_loss: 0.0263 - val_mse: 22.8634
Epoch 956/1000
0s - loss: 0.0232 - mse: 20.1825 - val_loss: 0.0262 - val_mse: 22.8579
Epoch 957/1000
0s - loss: 0.0232 - mse: 20.1774 - val_loss: 0.0262 - val_mse: 22.8541
Epoch 958/1000
0s - loss: 0.0232 - mse: 20.1723 - val_loss: 0.0262 - val_mse: 22.8515
Epoch 959/1000
0s - loss: 0.0232 - mse: 20.1672 - val_loss: 0.0262 - val_mse: 22.8477
Epoch 960/1000
0s - loss: 0.0232 - mse: 20.1621 - val_loss: 0.0262 - val_mse: 22.8419
Epoch 961/1000
0s - loss: 0.0231 - mse: 20.1570 - val_loss: 0.0262 - val_mse: 22.8368
Epoch 962/1000
0s - loss: 0.0231 - mse: 20.1519 - val_loss: 0.0262 - val_mse: 22.8336
Epoch 963/1000
0s - loss: 0.0231 - mse: 20.1467 - val_loss: 0.0262 - val_mse: 22.8301
Epoch 964/1000
0s - loss: 0.0231 - mse: 20.1416 - val_loss: 0.0262 - val_mse: 22.8244
Epoch 965/1000

Epoch 00964: reducing learning rate to 0.00117649007589.
0s - loss: 0.0231 - mse: 20.1365 - val_loss: 0.0262 - val_mse: 22.8185
Epoch 966/1000
0s - loss: 0.0231 - mse: 20.1315 - val_loss: 0.0262 - val_mse: 22.8159
Epoch 967/1000
0s - loss: 0.0231 - mse: 20.1279 - val_loss: 0.0262 - val_mse: 22.8143
Epoch 968/1000
0s - loss: 0.0231 - mse: 20.1243 - val_loss: 0.0262 - val_mse: 22.8125
Epoch 969/1000
0s - loss: 0.0231 - mse: 20.1208 - val_loss: 0.0262 - val_mse: 22.8098
Epoch 970/1000
0s - loss: 0.0231 - mse: 20.1172 - val_loss: 0.0262 - val_mse: 22.8078
Epoch 971/1000
0s - loss: 0.0231 - mse: 20.1137 - val_loss: 0.0262 - val_mse: 22.8064
Epoch 972/1000
0s - loss: 0.0231 - mse: 20.1102 - val_loss: 0.0262 - val_mse: 22.8038
Epoch 973/1000
0s - loss: 0.0231 - mse: 20.1066 - val_loss: 0.0262 - val_mse: 22.8004
Epoch 974/1000
0s - loss: 0.0231 - mse: 20.1031 - val_loss: 0.0262 - val_mse: 22.7974
Epoch 975/1000
0s - loss: 0.0231 - mse: 20.0996 - val_loss: 0.0262 - val_mse: 22.7957
Epoch 976/1000
0s - loss: 0.0231 - mse: 20.0961 - val_loss: 0.0262 - val_mse: 22.7948
Epoch 977/1000
0s - loss: 0.0231 - mse: 20.0926 - val_loss: 0.0262 - val_mse: 22.7931
Epoch 978/1000
0s - loss: 0.0231 - mse: 20.0890 - val_loss: 0.0262 - val_mse: 22.7905
Epoch 979/1000

Epoch 00978: reducing learning rate to 0.000823543069419.
0s - loss: 0.0231 - mse: 20.0855 - val_loss: 0.0262 - val_mse: 22.7890
Epoch 980/1000
0s - loss: 0.0231 - mse: 20.0820 - val_loss: 0.0262 - val_mse: 22.7886
Epoch 981/1000
0s - loss: 0.0231 - mse: 20.0795 - val_loss: 0.0262 - val_mse: 22.7876
Epoch 982/1000
0s - loss: 0.0231 - mse: 20.0771 - val_loss: 0.0262 - val_mse: 22.7862
Epoch 983/1000
0s - loss: 0.0231 - mse: 20.0746 - val_loss: 0.0262 - val_mse: 22.7844
Epoch 984/1000
0s - loss: 0.0230 - mse: 20.0722 - val_loss: 0.0262 - val_mse: 22.7825
Epoch 985/1000
0s - loss: 0.0230 - mse: 20.0697 - val_loss: 0.0262 - val_mse: 22.7808
Epoch 986/1000
0s - loss: 0.0230 - mse: 20.0673 - val_loss: 0.0262 - val_mse: 22.7798
Epoch 987/1000
0s - loss: 0.0230 - mse: 20.0649 - val_loss: 0.0262 - val_mse: 22.7787
Epoch 988/1000
0s - loss: 0.0230 - mse: 20.0624 - val_loss: 0.0262 - val_mse: 22.7773
Epoch 989/1000
0s - loss: 0.0230 - mse: 20.0600 - val_loss: 0.0262 - val_mse: 22.7762
Epoch 990/1000
0s - loss: 0.0230 - mse: 20.0575 - val_loss: 0.0262 - val_mse: 22.7752
Epoch 991/1000
0s - loss: 0.0230 - mse: 20.0551 - val_loss: 0.0262 - val_mse: 22.7743
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]



In [65]:

    
pd.DataFrame(width_perf).loc[:,['width','loss','val_loss']].set_index('width').plot(logy=True)









    Out[65]:





<matplotlib.axes._subplots.AxesSubplot at 0x17e2bfe50>



In [25]:

    
learningrates2 = {
    'lr_intial' : 1e-2, # higher than the default
    'lr_decay' : 0.01, # for adam it is 1 / (1 + decay * t) , thus with decay 0.001 and at t==1000, lr is divided by 2
                    # note that the effect of this decay is not visible in tensorboard
    'lr_plateau_factor' : 0.7, # if no convergence (possibly by too high lr), we boost the lr decay
    'lr_plateau_patience' : 4, # nr of consequetive epochs without improvement before we boost the lr decay
    'lr_plateau_cooldown' : 10, # first do this nr of iterations at new lr before detecting plateau
    'lr_minimum' : 1e-6, # the minimum lr too which we decay (for plateau detection)

    'stop_patience' : 30, # if no extra improvement after this nr of steps , we terminate learning
    'stop_delta' : 0.0001, # the epsilon, changes below this threshold are 'no improvement'

    'epochs_max' : 1000 # limit the total nr op epochs, very high, we will stop based on plateau
}



In [66]:

    
width_patience=2 # if increasing width this nr of times did not improve val_loss, stop
width2_perf = []
prev_weights = []
for width in range(50, 301, 50):
    fit, results = run_depth1(width, learningrates2, prev_weights, 'mediumsteps')
    width2_perf.append(results)
    prev_weights=[layer.get_weights() for layer in model.layers]
    print width_perf
    if len(width_perf)>width_patience and width_perf[-1]['val_mse']>np.min(x['val_mse'] for x in width_perf[-width_patience:-1]):
        break









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_64 (LSTM)               (None, None, 50)          10600     
_________________________________________________________________
time_distributed_61 (TimeDis (None, None, 1)           51        
=================================================================
Total params: 10,651
Trainable params: 10,651
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 0.8481 - mse: 738.5408 - val_loss: 0.6401 - val_mse: 557.3804
Epoch 2/1000
0s - loss: 0.5927 - mse: 516.1166 - val_loss: 0.5083 - val_mse: 442.6301
Epoch 3/1000
0s - loss: 0.4647 - mse: 404.7019 - val_loss: 0.4050 - val_mse: 352.6635
Epoch 4/1000
0s - loss: 0.3734 - mse: 325.1505 - val_loss: 0.3196 - val_mse: 278.3061
Epoch 5/1000
0s - loss: 0.3009 - mse: 262.0180 - val_loss: 0.2749 - val_mse: 239.4184
Epoch 6/1000
0s - loss: 0.2666 - mse: 232.1522 - val_loss: 0.2423 - val_mse: 210.9966
Epoch 7/1000
0s - loss: 0.2395 - mse: 208.5226 - val_loss: 0.2007 - val_mse: 174.7970
Epoch 8/1000
0s - loss: 0.1999 - mse: 174.0808 - val_loss: 0.1763 - val_mse: 153.5540
Epoch 9/1000
0s - loss: 0.1735 - mse: 151.0896 - val_loss: 0.1504 - val_mse: 130.9589
Epoch 10/1000
0s - loss: 0.1462 - mse: 127.3290 - val_loss: 0.1235 - val_mse: 107.5748
Epoch 11/1000
0s - loss: 0.1185 - mse: 103.2099 - val_loss: 0.1111 - val_mse: 96.7488
Epoch 12/1000
0s - loss: 0.1038 - mse: 90.3867 - val_loss: 0.1148 - val_mse: 99.9612
Epoch 13/1000
0s - loss: 0.1052 - mse: 91.6135 - val_loss: 0.1189 - val_mse: 103.5004
Epoch 14/1000
0s - loss: 0.1073 - mse: 93.4314 - val_loss: 0.1159 - val_mse: 100.9622
Epoch 15/1000
0s - loss: 0.1027 - mse: 89.3941 - val_loss: 0.1148 - val_mse: 99.9322
Epoch 16/1000

Epoch 00015: reducing learning rate to 0.00699999984354.
4s - loss: 0.1003 - mse: 87.3219 - val_loss: 0.1181 - val_mse: 102.8645
Epoch 17/1000
0s - loss: 0.1018 - mse: 88.6925 - val_loss: 0.1184 - val_mse: 103.1503
Epoch 18/1000
0s - loss: 0.0996 - mse: 86.7610 - val_loss: 0.1195 - val_mse: 104.0706
Epoch 19/1000
0s - loss: 0.0986 - mse: 85.8900 - val_loss: 0.1178 - val_mse: 102.6095
Epoch 20/1000
0s - loss: 0.0971 - mse: 84.5840 - val_loss: 0.1102 - val_mse: 95.9420
Epoch 21/1000
0s - loss: 0.0916 - mse: 79.7990 - val_loss: 0.1024 - val_mse: 89.1700
Epoch 22/1000
0s - loss: 0.0869 - mse: 75.6408 - val_loss: 0.0977 - val_mse: 85.1006
Epoch 23/1000
0s - loss: 0.0847 - mse: 73.7230 - val_loss: 0.0940 - val_mse: 81.8696
Epoch 24/1000
0s - loss: 0.0822 - mse: 71.6048 - val_loss: 0.0913 - val_mse: 79.5392
Epoch 25/1000
0s - loss: 0.0801 - mse: 69.7728 - val_loss: 0.0899 - val_mse: 78.2826
Epoch 26/1000
0s - loss: 0.0792 - mse: 68.9606 - val_loss: 0.0880 - val_mse: 76.6268
Epoch 27/1000
0s - loss: 0.0779 - mse: 67.8473 - val_loss: 0.0851 - val_mse: 74.1094
Epoch 28/1000
0s - loss: 0.0757 - mse: 65.9328 - val_loss: 0.0826 - val_mse: 71.9186
Epoch 29/1000
0s - loss: 0.0739 - mse: 64.3762 - val_loss: 0.0814 - val_mse: 70.8506
Epoch 30/1000
0s - loss: 0.0733 - mse: 63.8206 - val_loss: 0.0805 - val_mse: 70.0886
Epoch 31/1000
0s - loss: 0.0726 - mse: 63.2398 - val_loss: 0.0796 - val_mse: 69.3252
Epoch 32/1000
0s - loss: 0.0717 - mse: 62.4156 - val_loss: 0.0791 - val_mse: 68.8641
Epoch 33/1000
0s - loss: 0.0712 - mse: 61.9997 - val_loss: 0.0782 - val_mse: 68.1364
Epoch 34/1000
0s - loss: 0.0707 - mse: 61.5886 - val_loss: 0.0769 - val_mse: 66.9704
Epoch 35/1000
0s - loss: 0.0700 - mse: 60.9218 - val_loss: 0.0759 - val_mse: 66.1264
Epoch 36/1000
0s - loss: 0.0696 - mse: 60.5786 - val_loss: 0.0754 - val_mse: 65.6408
Epoch 37/1000
0s - loss: 0.0694 - mse: 60.4116 - val_loss: 0.0746 - val_mse: 64.9303
Epoch 38/1000
0s - loss: 0.0686 - mse: 59.7322 - val_loss: 0.0738 - val_mse: 64.2276
Epoch 39/1000
0s - loss: 0.0676 - mse: 58.8786 - val_loss: 0.0732 - val_mse: 63.7545
Epoch 40/1000
0s - loss: 0.0669 - mse: 58.2322 - val_loss: 0.0725 - val_mse: 63.1526
Epoch 41/1000
0s - loss: 0.0661 - mse: 57.5454 - val_loss: 0.0715 - val_mse: 62.2822
Epoch 42/1000
0s - loss: 0.0652 - mse: 56.7418 - val_loss: 0.0704 - val_mse: 61.3389
Epoch 43/1000
0s - loss: 0.0643 - mse: 55.9940 - val_loss: 0.0694 - val_mse: 60.4149
Epoch 44/1000
0s - loss: 0.0635 - mse: 55.2730 - val_loss: 0.0683 - val_mse: 59.5020
Epoch 45/1000
0s - loss: 0.0626 - mse: 54.4788 - val_loss: 0.0675 - val_mse: 58.7888
Epoch 46/1000
0s - loss: 0.0618 - mse: 53.8125 - val_loss: 0.0669 - val_mse: 58.2789
Epoch 47/1000
0s - loss: 0.0612 - mse: 53.3302 - val_loss: 0.0662 - val_mse: 57.6831
Epoch 48/1000
0s - loss: 0.0606 - mse: 52.7690 - val_loss: 0.0654 - val_mse: 56.9139
Epoch 49/1000
0s - loss: 0.0598 - mse: 52.0452 - val_loss: 0.0645 - val_mse: 56.1790
Epoch 50/1000
0s - loss: 0.0590 - mse: 51.3481 - val_loss: 0.0638 - val_mse: 55.5817
Epoch 51/1000
0s - loss: 0.0583 - mse: 50.7342 - val_loss: 0.0632 - val_mse: 55.0504
Epoch 52/1000
0s - loss: 0.0575 - mse: 50.1094 - val_loss: 0.0627 - val_mse: 54.5700
Epoch 53/1000
0s - loss: 0.0569 - mse: 49.5132 - val_loss: 0.0621 - val_mse: 54.0905
Epoch 54/1000
0s - loss: 0.0562 - mse: 48.9757 - val_loss: 0.0614 - val_mse: 53.4877
Epoch 55/1000
0s - loss: 0.0556 - mse: 48.4031 - val_loss: 0.0606 - val_mse: 52.7947
Epoch 56/1000
0s - loss: 0.0549 - mse: 47.8080 - val_loss: 0.0598 - val_mse: 52.1016
Epoch 57/1000
0s - loss: 0.0542 - mse: 47.2392 - val_loss: 0.0590 - val_mse: 51.3853
Epoch 58/1000
0s - loss: 0.0535 - mse: 46.6305 - val_loss: 0.0581 - val_mse: 50.6372
Epoch 59/1000
0s - loss: 0.0528 - mse: 45.9657 - val_loss: 0.0573 - val_mse: 49.9108
Epoch 60/1000
0s - loss: 0.0521 - mse: 45.3286 - val_loss: 0.0565 - val_mse: 49.1914
Epoch 61/1000
0s - loss: 0.0514 - mse: 44.7321 - val_loss: 0.0556 - val_mse: 48.4351
Epoch 62/1000
0s - loss: 0.0507 - mse: 44.1358 - val_loss: 0.0548 - val_mse: 47.6916
Epoch 63/1000
0s - loss: 0.0500 - mse: 43.5547 - val_loss: 0.0539 - val_mse: 46.9581
Epoch 64/1000
0s - loss: 0.0493 - mse: 42.9402 - val_loss: 0.0531 - val_mse: 46.2519
Epoch 65/1000
0s - loss: 0.0486 - mse: 42.2935 - val_loss: 0.0524 - val_mse: 45.6105
Epoch 66/1000
0s - loss: 0.0479 - mse: 41.6869 - val_loss: 0.0517 - val_mse: 44.9975
Epoch 67/1000
0s - loss: 0.0472 - mse: 41.1228 - val_loss: 0.0509 - val_mse: 44.3512
Epoch 68/1000
0s - loss: 0.0466 - mse: 40.5548 - val_loss: 0.0502 - val_mse: 43.6787
Epoch 69/1000
0s - loss: 0.0459 - mse: 39.9871 - val_loss: 0.0493 - val_mse: 42.9676
Epoch 70/1000
0s - loss: 0.0452 - mse: 39.3982 - val_loss: 0.0485 - val_mse: 42.2410
Epoch 71/1000
0s - loss: 0.0446 - mse: 38.8107 - val_loss: 0.0477 - val_mse: 41.5168
Epoch 72/1000
0s - loss: 0.0439 - mse: 38.2487 - val_loss: 0.0468 - val_mse: 40.7833
Epoch 73/1000
0s - loss: 0.0433 - mse: 37.6901 - val_loss: 0.0460 - val_mse: 40.0766
Epoch 74/1000
0s - loss: 0.0426 - mse: 37.1372 - val_loss: 0.0453 - val_mse: 39.4207
Epoch 75/1000
0s - loss: 0.0420 - mse: 36.5780 - val_loss: 0.0446 - val_mse: 38.8283
Epoch 76/1000
0s - loss: 0.0414 - mse: 36.0244 - val_loss: 0.0440 - val_mse: 38.2784
Epoch 77/1000
0s - loss: 0.0408 - mse: 35.5011 - val_loss: 0.0433 - val_mse: 37.7065
Epoch 78/1000
0s - loss: 0.0402 - mse: 34.9841 - val_loss: 0.0426 - val_mse: 37.0789
Epoch 79/1000
0s - loss: 0.0396 - mse: 34.4679 - val_loss: 0.0418 - val_mse: 36.3837
Epoch 80/1000
0s - loss: 0.0390 - mse: 33.9432 - val_loss: 0.0410 - val_mse: 35.6739
Epoch 81/1000
0s - loss: 0.0384 - mse: 33.4283 - val_loss: 0.0402 - val_mse: 35.0002
Epoch 82/1000
0s - loss: 0.0378 - mse: 32.9366 - val_loss: 0.0395 - val_mse: 34.3675
Epoch 83/1000
0s - loss: 0.0373 - mse: 32.4396 - val_loss: 0.0388 - val_mse: 33.7954
Epoch 84/1000
0s - loss: 0.0367 - mse: 31.9417 - val_loss: 0.0382 - val_mse: 33.2721
Epoch 85/1000
0s - loss: 0.0361 - mse: 31.4509 - val_loss: 0.0376 - val_mse: 32.7582
Epoch 86/1000
0s - loss: 0.0356 - mse: 30.9886 - val_loss: 0.0370 - val_mse: 32.1950
Epoch 87/1000
0s - loss: 0.0351 - mse: 30.5341 - val_loss: 0.0363 - val_mse: 31.5967
Epoch 88/1000
0s - loss: 0.0346 - mse: 30.0876 - val_loss: 0.0356 - val_mse: 31.0359
Epoch 89/1000
0s - loss: 0.0341 - mse: 29.6757 - val_loss: 0.0351 - val_mse: 30.5445
Epoch 90/1000
0s - loss: 0.0336 - mse: 29.2839 - val_loss: 0.0346 - val_mse: 30.1368
Epoch 91/1000
0s - loss: 0.0332 - mse: 28.9111 - val_loss: 0.0342 - val_mse: 29.7950
Epoch 92/1000
0s - loss: 0.0328 - mse: 28.5564 - val_loss: 0.0339 - val_mse: 29.4914
Epoch 93/1000
0s - loss: 0.0324 - mse: 28.2270 - val_loss: 0.0335 - val_mse: 29.1757
Epoch 94/1000
0s - loss: 0.0321 - mse: 27.9128 - val_loss: 0.0331 - val_mse: 28.8336
Epoch 95/1000
0s - loss: 0.0317 - mse: 27.6147 - val_loss: 0.0327 - val_mse: 28.4980
Epoch 96/1000
0s - loss: 0.0314 - mse: 27.3323 - val_loss: 0.0324 - val_mse: 28.2078
Epoch 97/1000
0s - loss: 0.0311 - mse: 27.0656 - val_loss: 0.0321 - val_mse: 27.9715
Epoch 98/1000
0s - loss: 0.0308 - mse: 26.8052 - val_loss: 0.0319 - val_mse: 27.7747
Epoch 99/1000
0s - loss: 0.0305 - mse: 26.5516 - val_loss: 0.0317 - val_mse: 27.5872
Epoch 100/1000
0s - loss: 0.0302 - mse: 26.3075 - val_loss: 0.0314 - val_mse: 27.3734
Epoch 101/1000
0s - loss: 0.0299 - mse: 26.0708 - val_loss: 0.0311 - val_mse: 27.1198
Epoch 102/1000
0s - loss: 0.0297 - mse: 25.8361 - val_loss: 0.0308 - val_mse: 26.8534
Epoch 103/1000
0s - loss: 0.0294 - mse: 25.6059 - val_loss: 0.0305 - val_mse: 26.5992
Epoch 104/1000
0s - loss: 0.0291 - mse: 25.3756 - val_loss: 0.0303 - val_mse: 26.3719
Epoch 105/1000
0s - loss: 0.0289 - mse: 25.1487 - val_loss: 0.0300 - val_mse: 26.1669
Epoch 106/1000
0s - loss: 0.0286 - mse: 24.9280 - val_loss: 0.0298 - val_mse: 25.9683
Epoch 107/1000
0s - loss: 0.0284 - mse: 24.7169 - val_loss: 0.0296 - val_mse: 25.7579
Epoch 108/1000
0s - loss: 0.0282 - mse: 24.5145 - val_loss: 0.0293 - val_mse: 25.5310
Epoch 109/1000
0s - loss: 0.0279 - mse: 24.3171 - val_loss: 0.0291 - val_mse: 25.3049
Epoch 110/1000
0s - loss: 0.0277 - mse: 24.1272 - val_loss: 0.0288 - val_mse: 25.0942
Epoch 111/1000
0s - loss: 0.0275 - mse: 23.9431 - val_loss: 0.0286 - val_mse: 24.9084
Epoch 112/1000
0s - loss: 0.0273 - mse: 23.7631 - val_loss: 0.0284 - val_mse: 24.7423
Epoch 113/1000
0s - loss: 0.0271 - mse: 23.5853 - val_loss: 0.0282 - val_mse: 24.5833
Epoch 114/1000
0s - loss: 0.0269 - mse: 23.4126 - val_loss: 0.0280 - val_mse: 24.4150
Epoch 115/1000
0s - loss: 0.0267 - mse: 23.2426 - val_loss: 0.0278 - val_mse: 24.2307
Epoch 116/1000
0s - loss: 0.0265 - mse: 23.0733 - val_loss: 0.0276 - val_mse: 24.0394
Epoch 117/1000
0s - loss: 0.0263 - mse: 22.9059 - val_loss: 0.0274 - val_mse: 23.8535
Epoch 118/1000
0s - loss: 0.0261 - mse: 22.7409 - val_loss: 0.0272 - val_mse: 23.6803
Epoch 119/1000
0s - loss: 0.0259 - mse: 22.5774 - val_loss: 0.0270 - val_mse: 23.5180
Epoch 120/1000
0s - loss: 0.0257 - mse: 22.4155 - val_loss: 0.0268 - val_mse: 23.3578
Epoch 121/1000
0s - loss: 0.0256 - mse: 22.2565 - val_loss: 0.0266 - val_mse: 23.1917
Epoch 122/1000
0s - loss: 0.0254 - mse: 22.0989 - val_loss: 0.0264 - val_mse: 23.0207
Epoch 123/1000
0s - loss: 0.0252 - mse: 21.9428 - val_loss: 0.0262 - val_mse: 22.8524
Epoch 124/1000
0s - loss: 0.0250 - mse: 21.7884 - val_loss: 0.0261 - val_mse: 22.6942
Epoch 125/1000
0s - loss: 0.0248 - mse: 21.6343 - val_loss: 0.0259 - val_mse: 22.5458
Epoch 126/1000
0s - loss: 0.0247 - mse: 21.4809 - val_loss: 0.0257 - val_mse: 22.4053
Epoch 127/1000
0s - loss: 0.0245 - mse: 21.3301 - val_loss: 0.0256 - val_mse: 22.2647
Epoch 128/1000
0s - loss: 0.0243 - mse: 21.1792 - val_loss: 0.0254 - val_mse: 22.1227
Epoch 129/1000
0s - loss: 0.0241 - mse: 21.0278 - val_loss: 0.0252 - val_mse: 21.9820
Epoch 130/1000
0s - loss: 0.0240 - mse: 20.8757 - val_loss: 0.0251 - val_mse: 21.8476
Epoch 131/1000
0s - loss: 0.0238 - mse: 20.7254 - val_loss: 0.0249 - val_mse: 21.7215
Epoch 132/1000
0s - loss: 0.0236 - mse: 20.5765 - val_loss: 0.0248 - val_mse: 21.6029
Epoch 133/1000
0s - loss: 0.0235 - mse: 20.4283 - val_loss: 0.0247 - val_mse: 21.4886
Epoch 134/1000
0s - loss: 0.0233 - mse: 20.2810 - val_loss: 0.0245 - val_mse: 21.3770
Epoch 135/1000
0s - loss: 0.0231 - mse: 20.1397 - val_loss: 0.0244 - val_mse: 21.2552
Epoch 136/1000
0s - loss: 0.0230 - mse: 19.9988 - val_loss: 0.0243 - val_mse: 21.1367
Epoch 137/1000
0s - loss: 0.0228 - mse: 19.8584 - val_loss: 0.0241 - val_mse: 21.0296
Epoch 138/1000
0s - loss: 0.0226 - mse: 19.7173 - val_loss: 0.0240 - val_mse: 20.9298
Epoch 139/1000
0s - loss: 0.0225 - mse: 19.5760 - val_loss: 0.0239 - val_mse: 20.8197
Epoch 140/1000
0s - loss: 0.0223 - mse: 19.4349 - val_loss: 0.0238 - val_mse: 20.7032
Epoch 141/1000
0s - loss: 0.0222 - mse: 19.2959 - val_loss: 0.0236 - val_mse: 20.5756
Epoch 142/1000
0s - loss: 0.0220 - mse: 19.1660 - val_loss: 0.0235 - val_mse: 20.5080
Epoch 143/1000
0s - loss: 0.0219 - mse: 19.0807 - val_loss: 0.0237 - val_mse: 20.5971
Epoch 144/1000
0s - loss: 0.0221 - mse: 19.2116 - val_loss: 0.0239 - val_mse: 20.8393
Epoch 145/1000
0s - loss: 0.0223 - mse: 19.4596 - val_loss: 0.0241 - val_mse: 21.0207
Epoch 146/1000
0s - loss: 0.0226 - mse: 19.6710 - val_loss: 0.0229 - val_mse: 19.9836
Epoch 147/1000
0s - loss: 0.0213 - mse: 18.5330 - val_loss: 0.0236 - val_mse: 20.5135
Epoch 148/1000
0s - loss: 0.0220 - mse: 19.1230 - val_loss: 0.0237 - val_mse: 20.6050
Epoch 149/1000
0s - loss: 0.0221 - mse: 19.2357 - val_loss: 0.0227 - val_mse: 19.7307
Epoch 150/1000
0s - loss: 0.0210 - mse: 18.2962 - val_loss: 0.0237 - val_mse: 20.5991
Epoch 151/1000
0s - loss: 0.0221 - mse: 19.2745 - val_loss: 0.0226 - val_mse: 19.6826
Epoch 152/1000
0s - loss: 0.0209 - mse: 18.2221 - val_loss: 0.0229 - val_mse: 19.9629
Epoch 153/1000
0s - loss: 0.0213 - mse: 18.5143 - val_loss: 0.0225 - val_mse: 19.5509
Epoch 154/1000
0s - loss: 0.0208 - mse: 18.0769 - val_loss: 0.0224 - val_mse: 19.4651
Epoch 155/1000
0s - loss: 0.0206 - mse: 17.9767 - val_loss: 0.0224 - val_mse: 19.5119
Epoch 156/1000
0s - loss: 0.0207 - mse: 17.9885 - val_loss: 0.0221 - val_mse: 19.2335
Epoch 157/1000
0s - loss: 0.0203 - mse: 17.6603 - val_loss: 0.0222 - val_mse: 19.3493
Epoch 158/1000
0s - loss: 0.0204 - mse: 17.7955 - val_loss: 0.0217 - val_mse: 18.9290
Epoch 159/1000
0s - loss: 0.0199 - mse: 17.3207 - val_loss: 0.0220 - val_mse: 19.1428
Epoch 160/1000
0s - loss: 0.0201 - mse: 17.5392 - val_loss: 0.0215 - val_mse: 18.7408
Epoch 161/1000
0s - loss: 0.0196 - mse: 17.1084 - val_loss: 0.0217 - val_mse: 18.9181
Epoch 162/1000
0s - loss: 0.0199 - mse: 17.3318 - val_loss: 0.0213 - val_mse: 18.5304
Epoch 163/1000
0s - loss: 0.0194 - mse: 16.9146 - val_loss: 0.0214 - val_mse: 18.6326
Epoch 164/1000
0s - loss: 0.0196 - mse: 17.0449 - val_loss: 0.0211 - val_mse: 18.3401
Epoch 165/1000
0s - loss: 0.0192 - mse: 16.7388 - val_loss: 0.0211 - val_mse: 18.3895
Epoch 166/1000
0s - loss: 0.0193 - mse: 16.8019 - val_loss: 0.0209 - val_mse: 18.2235
Epoch 167/1000
0s - loss: 0.0191 - mse: 16.6013 - val_loss: 0.0209 - val_mse: 18.1924
Epoch 168/1000
0s - loss: 0.0190 - mse: 16.5470 - val_loss: 0.0208 - val_mse: 18.1228
Epoch 169/1000
0s - loss: 0.0189 - mse: 16.4425 - val_loss: 0.0207 - val_mse: 18.0259
Epoch 170/1000
0s - loss: 0.0187 - mse: 16.3068 - val_loss: 0.0207 - val_mse: 18.0214
Epoch 171/1000
0s - loss: 0.0187 - mse: 16.2816 - val_loss: 0.0205 - val_mse: 17.8753
Epoch 172/1000
0s - loss: 0.0185 - mse: 16.1024 - val_loss: 0.0206 - val_mse: 17.9000
Epoch 173/1000
0s - loss: 0.0185 - mse: 16.1092 - val_loss: 0.0204 - val_mse: 17.7429
Epoch 174/1000
0s - loss: 0.0183 - mse: 15.9128 - val_loss: 0.0204 - val_mse: 17.7431
Epoch 175/1000
0s - loss: 0.0183 - mse: 15.9093 - val_loss: 0.0202 - val_mse: 17.5812
Epoch 176/1000
0s - loss: 0.0181 - mse: 15.7477 - val_loss: 0.0202 - val_mse: 17.5510
Epoch 177/1000
0s - loss: 0.0180 - mse: 15.7084 - val_loss: 0.0201 - val_mse: 17.4867
Epoch 178/1000
0s - loss: 0.0179 - mse: 15.6009 - val_loss: 0.0200 - val_mse: 17.4240
Epoch 179/1000
0s - loss: 0.0178 - mse: 15.5069 - val_loss: 0.0199 - val_mse: 17.3627
Epoch 180/1000
0s - loss: 0.0177 - mse: 15.4475 - val_loss: 0.0198 - val_mse: 17.2530
Epoch 181/1000
0s - loss: 0.0176 - mse: 15.3190 - val_loss: 0.0198 - val_mse: 17.2408
Epoch 182/1000
0s - loss: 0.0175 - mse: 15.2779 - val_loss: 0.0197 - val_mse: 17.1437
Epoch 183/1000
0s - loss: 0.0174 - mse: 15.1526 - val_loss: 0.0196 - val_mse: 17.1002
Epoch 184/1000
0s - loss: 0.0173 - mse: 15.0953 - val_loss: 0.0195 - val_mse: 17.0226
Epoch 185/1000
0s - loss: 0.0172 - mse: 15.0034 - val_loss: 0.0195 - val_mse: 16.9413
Epoch 186/1000
0s - loss: 0.0171 - mse: 14.9069 - val_loss: 0.0194 - val_mse: 16.9026
Epoch 187/1000
0s - loss: 0.0171 - mse: 14.8484 - val_loss: 0.0193 - val_mse: 16.8205
Epoch 188/1000
0s - loss: 0.0169 - mse: 14.7366 - val_loss: 0.0192 - val_mse: 16.7559
Epoch 189/1000
0s - loss: 0.0168 - mse: 14.6730 - val_loss: 0.0191 - val_mse: 16.6682
Epoch 190/1000
0s - loss: 0.0167 - mse: 14.5840 - val_loss: 0.0191 - val_mse: 16.6047
Epoch 191/1000
0s - loss: 0.0166 - mse: 14.4944 - val_loss: 0.0190 - val_mse: 16.5610
Epoch 192/1000
0s - loss: 0.0166 - mse: 14.4317 - val_loss: 0.0189 - val_mse: 16.4729
Epoch 193/1000
0s - loss: 0.0165 - mse: 14.3342 - val_loss: 0.0189 - val_mse: 16.4289
Epoch 194/1000
0s - loss: 0.0164 - mse: 14.2655 - val_loss: 0.0188 - val_mse: 16.3971
Epoch 195/1000
0s - loss: 0.0163 - mse: 14.1878 - val_loss: 0.0187 - val_mse: 16.3277
Epoch 196/1000
0s - loss: 0.0162 - mse: 14.0996 - val_loss: 0.0187 - val_mse: 16.2682
Epoch 197/1000
0s - loss: 0.0161 - mse: 14.0367 - val_loss: 0.0186 - val_mse: 16.2048
Epoch 198/1000
0s - loss: 0.0160 - mse: 13.9530 - val_loss: 0.0186 - val_mse: 16.1544
Epoch 199/1000
0s - loss: 0.0159 - mse: 13.8763 - val_loss: 0.0185 - val_mse: 16.0883
Epoch 200/1000
0s - loss: 0.0159 - mse: 13.8090 - val_loss: 0.0184 - val_mse: 16.0046
Epoch 201/1000
0s - loss: 0.0158 - mse: 13.7251 - val_loss: 0.0183 - val_mse: 15.9457
Epoch 202/1000
0s - loss: 0.0157 - mse: 13.6514 - val_loss: 0.0183 - val_mse: 15.9053
Epoch 203/1000
0s - loss: 0.0156 - mse: 13.5809 - val_loss: 0.0182 - val_mse: 15.8377
Epoch 204/1000
0s - loss: 0.0155 - mse: 13.4990 - val_loss: 0.0181 - val_mse: 15.7655
Epoch 205/1000
0s - loss: 0.0154 - mse: 13.4269 - val_loss: 0.0180 - val_mse: 15.7104
Epoch 206/1000
0s - loss: 0.0153 - mse: 13.3553 - val_loss: 0.0180 - val_mse: 15.6688
Epoch 207/1000
0s - loss: 0.0152 - mse: 13.2759 - val_loss: 0.0179 - val_mse: 15.6172
Epoch 208/1000
0s - loss: 0.0152 - mse: 13.2039 - val_loss: 0.0179 - val_mse: 15.5532
Epoch 209/1000
0s - loss: 0.0151 - mse: 13.1341 - val_loss: 0.0178 - val_mse: 15.4862
Epoch 210/1000
0s - loss: 0.0150 - mse: 13.0589 - val_loss: 0.0177 - val_mse: 15.4330
Epoch 211/1000
0s - loss: 0.0149 - mse: 12.9866 - val_loss: 0.0177 - val_mse: 15.3845
Epoch 212/1000
0s - loss: 0.0148 - mse: 12.9209 - val_loss: 0.0176 - val_mse: 15.3270
Epoch 213/1000
0s - loss: 0.0148 - mse: 12.8513 - val_loss: 0.0175 - val_mse: 15.2740
Epoch 214/1000
0s - loss: 0.0147 - mse: 12.7813 - val_loss: 0.0175 - val_mse: 15.2317
Epoch 215/1000
0s - loss: 0.0146 - mse: 12.7151 - val_loss: 0.0174 - val_mse: 15.1869
Epoch 216/1000
0s - loss: 0.0145 - mse: 12.6481 - val_loss: 0.0174 - val_mse: 15.1288
Epoch 217/1000
0s - loss: 0.0144 - mse: 12.5781 - val_loss: 0.0173 - val_mse: 15.0630
Epoch 218/1000
0s - loss: 0.0144 - mse: 12.5093 - val_loss: 0.0172 - val_mse: 15.0083
Epoch 219/1000
0s - loss: 0.0143 - mse: 12.4423 - val_loss: 0.0172 - val_mse: 14.9630
Epoch 220/1000
0s - loss: 0.0142 - mse: 12.3747 - val_loss: 0.0171 - val_mse: 14.9067
Epoch 221/1000
0s - loss: 0.0141 - mse: 12.3053 - val_loss: 0.0170 - val_mse: 14.8455
Epoch 222/1000
0s - loss: 0.0141 - mse: 12.2363 - val_loss: 0.0170 - val_mse: 14.7875
Epoch 223/1000
0s - loss: 0.0140 - mse: 12.1683 - val_loss: 0.0169 - val_mse: 14.7308
Epoch 224/1000
0s - loss: 0.0139 - mse: 12.1008 - val_loss: 0.0168 - val_mse: 14.6699
Epoch 225/1000
0s - loss: 0.0138 - mse: 12.0340 - val_loss: 0.0168 - val_mse: 14.6077
Epoch 226/1000
0s - loss: 0.0137 - mse: 11.9667 - val_loss: 0.0167 - val_mse: 14.5466
Epoch 227/1000
0s - loss: 0.0137 - mse: 11.8991 - val_loss: 0.0166 - val_mse: 14.4809
Epoch 228/1000
0s - loss: 0.0136 - mse: 11.8316 - val_loss: 0.0166 - val_mse: 14.4184
Epoch 229/1000
0s - loss: 0.0135 - mse: 11.7650 - val_loss: 0.0165 - val_mse: 14.3579
Epoch 230/1000
0s - loss: 0.0134 - mse: 11.6992 - val_loss: 0.0164 - val_mse: 14.2944
Epoch 231/1000
0s - loss: 0.0134 - mse: 11.6332 - val_loss: 0.0164 - val_mse: 14.2396
Epoch 232/1000
0s - loss: 0.0133 - mse: 11.5672 - val_loss: 0.0163 - val_mse: 14.1709
Epoch 233/1000
0s - loss: 0.0132 - mse: 11.5024 - val_loss: 0.0162 - val_mse: 14.1122
Epoch 234/1000
0s - loss: 0.0131 - mse: 11.4389 - val_loss: 0.0161 - val_mse: 14.0579
Epoch 235/1000
0s - loss: 0.0131 - mse: 11.3782 - val_loss: 0.0161 - val_mse: 14.0150
Epoch 236/1000
0s - loss: 0.0130 - mse: 11.3228 - val_loss: 0.0160 - val_mse: 13.9601
Epoch 237/1000
0s - loss: 0.0130 - mse: 11.2834 - val_loss: 0.0160 - val_mse: 13.9765
Epoch 238/1000
0s - loss: 0.0129 - mse: 11.2735 - val_loss: 0.0161 - val_mse: 14.0182
Epoch 239/1000
0s - loss: 0.0130 - mse: 11.3557 - val_loss: 0.0163 - val_mse: 14.1979
Epoch 240/1000

Epoch 00239: reducing learning rate to 0.00489999982528.
0s - loss: 0.0132 - mse: 11.4992 - val_loss: 0.0167 - val_mse: 14.5115
Epoch 241/1000
0s - loss: 0.0137 - mse: 11.9275 - val_loss: 0.0158 - val_mse: 13.7422
Epoch 242/1000
0s - loss: 0.0126 - mse: 11.0128 - val_loss: 0.0163 - val_mse: 14.2317
Epoch 243/1000
0s - loss: 0.0132 - mse: 11.5177 - val_loss: 0.0161 - val_mse: 14.0412
Epoch 244/1000
0s - loss: 0.0131 - mse: 11.3655 - val_loss: 0.0158 - val_mse: 13.7926
Epoch 245/1000
0s - loss: 0.0127 - mse: 11.0903 - val_loss: 0.0162 - val_mse: 14.1320
Epoch 246/1000
0s - loss: 0.0131 - mse: 11.4100 - val_loss: 0.0156 - val_mse: 13.5540
Epoch 247/1000
0s - loss: 0.0124 - mse: 10.7725 - val_loss: 0.0160 - val_mse: 13.9281
Epoch 248/1000
0s - loss: 0.0129 - mse: 11.1963 - val_loss: 0.0155 - val_mse: 13.5021
Epoch 249/1000
0s - loss: 0.0123 - mse: 10.6895 - val_loss: 0.0159 - val_mse: 13.8690
Epoch 250/1000
0s - loss: 0.0127 - mse: 11.0691 - val_loss: 0.0155 - val_mse: 13.5030
Epoch 251/1000
0s - loss: 0.0123 - mse: 10.6761 - val_loss: 0.0157 - val_mse: 13.6695
Epoch 252/1000
0s - loss: 0.0125 - mse: 10.8464 - val_loss: 0.0155 - val_mse: 13.5044
Epoch 253/1000
0s - loss: 0.0122 - mse: 10.6169 - val_loss: 0.0156 - val_mse: 13.5544
Epoch 254/1000
0s - loss: 0.0123 - mse: 10.6729 - val_loss: 0.0154 - val_mse: 13.4476
Epoch 255/1000
0s - loss: 0.0122 - mse: 10.5942 - val_loss: 0.0154 - val_mse: 13.3991
Epoch 256/1000
0s - loss: 0.0121 - mse: 10.5372 - val_loss: 0.0154 - val_mse: 13.4233
Epoch 257/1000
0s - loss: 0.0121 - mse: 10.5260 - val_loss: 0.0153 - val_mse: 13.3107
Epoch 258/1000
0s - loss: 0.0119 - mse: 10.4025 - val_loss: 0.0153 - val_mse: 13.3305
Epoch 259/1000
0s - loss: 0.0120 - mse: 10.4551 - val_loss: 0.0152 - val_mse: 13.2044
Epoch 260/1000
0s - loss: 0.0118 - mse: 10.3125 - val_loss: 0.0153 - val_mse: 13.2877
Epoch 261/1000
0s - loss: 0.0119 - mse: 10.3788 - val_loss: 0.0151 - val_mse: 13.1495
Epoch 262/1000
0s - loss: 0.0117 - mse: 10.2232 - val_loss: 0.0152 - val_mse: 13.1994
Epoch 263/1000
0s - loss: 0.0118 - mse: 10.2879 - val_loss: 0.0150 - val_mse: 13.0855
Epoch 264/1000
0s - loss: 0.0117 - mse: 10.1508 - val_loss: 0.0151 - val_mse: 13.1443
Epoch 265/1000
0s - loss: 0.0117 - mse: 10.2044 - val_loss: 0.0150 - val_mse: 13.0321
Epoch 266/1000
0s - loss: 0.0116 - mse: 10.0868 - val_loss: 0.0150 - val_mse: 13.0600
Epoch 267/1000
0s - loss: 0.0116 - mse: 10.1097 - val_loss: 0.0149 - val_mse: 13.0039
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.00343000004068.
0s - loss: 0.0115 - mse: 10.0243 - val_loss: 0.0149 - val_mse: 13.0005
Epoch 269/1000
0s - loss: 0.0115 - mse: 10.0205 - val_loss: 0.0149 - val_mse: 12.9332
Epoch 270/1000
0s - loss: 0.0114 - mse: 9.9577 - val_loss: 0.0149 - val_mse: 12.9442
Epoch 271/1000
0s - loss: 0.0114 - mse: 9.9710 - val_loss: 0.0148 - val_mse: 12.9030
Epoch 272/1000
0s - loss: 0.0114 - mse: 9.9097 - val_loss: 0.0148 - val_mse: 12.9154
Epoch 273/1000
0s - loss: 0.0114 - mse: 9.9105 - val_loss: 0.0148 - val_mse: 12.8739
Epoch 274/1000
0s - loss: 0.0113 - mse: 9.8699 - val_loss: 0.0147 - val_mse: 12.8428
Epoch 275/1000
0s - loss: 0.0113 - mse: 9.8488 - val_loss: 0.0147 - val_mse: 12.8277
Epoch 276/1000
0s - loss: 0.0113 - mse: 9.8302 - val_loss: 0.0147 - val_mse: 12.8076
Epoch 277/1000
0s - loss: 0.0112 - mse: 9.7916 - val_loss: 0.0147 - val_mse: 12.8101
Epoch 278/1000
0s - loss: 0.0112 - mse: 9.7847 - val_loss: 0.0147 - val_mse: 12.7663
Epoch 279/1000
0s - loss: 0.0112 - mse: 9.7422 - val_loss: 0.0146 - val_mse: 12.7540
Epoch 280/1000
0s - loss: 0.0112 - mse: 9.7343 - val_loss: 0.0146 - val_mse: 12.7291
Epoch 281/1000
0s - loss: 0.0111 - mse: 9.6975 - val_loss: 0.0146 - val_mse: 12.7271
Epoch 282/1000
0s - loss: 0.0111 - mse: 9.6821 - val_loss: 0.0146 - val_mse: 12.7036
Epoch 283/1000
0s - loss: 0.0111 - mse: 9.6540 - val_loss: 0.0146 - val_mse: 12.6781
Epoch 284/1000
0s - loss: 0.0111 - mse: 9.6310 - val_loss: 0.0145 - val_mse: 12.6610
Epoch 285/1000
0s - loss: 0.0110 - mse: 9.6105 - val_loss: 0.0145 - val_mse: 12.6459
Epoch 286/1000
0s - loss: 0.0110 - mse: 9.5823 - val_loss: 0.0145 - val_mse: 12.6378
Epoch 287/1000
0s - loss: 0.0110 - mse: 9.5657 - val_loss: 0.0145 - val_mse: 12.6099
Epoch 288/1000
0s - loss: 0.0110 - mse: 9.5360 - val_loss: 0.0145 - val_mse: 12.5965
Epoch 289/1000

Epoch 00288: reducing learning rate to 0.00240100002848.
0s - loss: 0.0109 - mse: 9.5197 - val_loss: 0.0144 - val_mse: 12.5798
Epoch 290/1000
0s - loss: 0.0109 - mse: 9.4921 - val_loss: 0.0144 - val_mse: 12.5741
Epoch 291/1000
0s - loss: 0.0109 - mse: 9.4783 - val_loss: 0.0144 - val_mse: 12.5651
Epoch 292/1000
0s - loss: 0.0109 - mse: 9.4636 - val_loss: 0.0144 - val_mse: 12.5521
Epoch 293/1000
0s - loss: 0.0108 - mse: 9.4465 - val_loss: 0.0144 - val_mse: 12.5432
Epoch 294/1000
0s - loss: 0.0108 - mse: 9.4331 - val_loss: 0.0144 - val_mse: 12.5338
Epoch 295/1000
0s - loss: 0.0108 - mse: 9.4172 - val_loss: 0.0144 - val_mse: 12.5235
Epoch 296/1000
0s - loss: 0.0108 - mse: 9.4016 - val_loss: 0.0144 - val_mse: 12.5121
Epoch 297/1000
0s - loss: 0.0108 - mse: 9.3878 - val_loss: 0.0144 - val_mse: 12.4970
Epoch 298/1000
0s - loss: 0.0108 - mse: 9.3717 - val_loss: 0.0143 - val_mse: 12.4853
Epoch 299/1000
0s - loss: 0.0107 - mse: 9.3570 - val_loss: 0.0143 - val_mse: 12.4772
Epoch 300/1000
0s - loss: 0.0107 - mse: 9.3423 - val_loss: 0.0143 - val_mse: 12.4690
Epoch 301/1000
0s - loss: 0.0107 - mse: 9.3267 - val_loss: 0.0143 - val_mse: 12.4597
Epoch 302/1000
0s - loss: 0.0107 - mse: 9.3123 - val_loss: 0.0143 - val_mse: 12.4475
Epoch 303/1000
0s - loss: 0.0107 - mse: 9.2973 - val_loss: 0.0143 - val_mse: 12.4369
Epoch 304/1000

Epoch 00303: reducing learning rate to 0.00168070008513.
0s - loss: 0.0107 - mse: 9.2823 - val_loss: 0.0143 - val_mse: 12.4302
Epoch 305/1000
0s - loss: 0.0106 - mse: 9.2676 - val_loss: 0.0143 - val_mse: 12.4264
Epoch 306/1000
0s - loss: 0.0106 - mse: 9.2571 - val_loss: 0.0143 - val_mse: 12.4216
Epoch 307/1000
0s - loss: 0.0106 - mse: 9.2468 - val_loss: 0.0143 - val_mse: 12.4144
Epoch 308/1000
0s - loss: 0.0106 - mse: 9.2366 - val_loss: 0.0142 - val_mse: 12.4053
Epoch 309/1000
0s - loss: 0.0106 - mse: 9.2261 - val_loss: 0.0142 - val_mse: 12.3970
Epoch 310/1000
0s - loss: 0.0106 - mse: 9.2159 - val_loss: 0.0142 - val_mse: 12.3910
Epoch 311/1000
0s - loss: 0.0106 - mse: 9.2056 - val_loss: 0.0142 - val_mse: 12.3865
Epoch 312/1000
0s - loss: 0.0106 - mse: 9.1952 - val_loss: 0.0142 - val_mse: 12.3818
Epoch 313/1000
0s - loss: 0.0105 - mse: 9.1850 - val_loss: 0.0142 - val_mse: 12.3751
Epoch 314/1000
0s - loss: 0.0105 - mse: 9.1748 - val_loss: 0.0142 - val_mse: 12.3660
Epoch 315/1000
0s - loss: 0.0105 - mse: 9.1644 - val_loss: 0.0142 - val_mse: 12.3569
Epoch 316/1000
0s - loss: 0.0105 - mse: 9.1543 - val_loss: 0.0142 - val_mse: 12.3495
Epoch 317/1000
0s - loss: 0.0105 - mse: 9.1442 - val_loss: 0.0142 - val_mse: 12.3440
Epoch 318/1000

Epoch 00317: reducing learning rate to 0.00117649007589.
0s - loss: 0.0105 - mse: 9.1338 - val_loss: 0.0142 - val_mse: 12.3399
Epoch 319/1000
0s - loss: 0.0105 - mse: 9.1237 - val_loss: 0.0142 - val_mse: 12.3364
Epoch 320/1000
0s - loss: 0.0105 - mse: 9.1167 - val_loss: 0.0142 - val_mse: 12.3318
Epoch 321/1000
0s - loss: 0.0105 - mse: 9.1095 - val_loss: 0.0142 - val_mse: 12.3264
Epoch 322/1000
0s - loss: 0.0105 - mse: 9.1023 - val_loss: 0.0141 - val_mse: 12.3212
Epoch 323/1000
0s - loss: 0.0104 - mse: 9.0952 - val_loss: 0.0141 - val_mse: 12.3169
Epoch 324/1000
0s - loss: 0.0104 - mse: 9.0882 - val_loss: 0.0141 - val_mse: 12.3135
Epoch 325/1000
0s - loss: 0.0104 - mse: 9.0810 - val_loss: 0.0141 - val_mse: 12.3108
Epoch 326/1000
0s - loss: 0.0104 - mse: 9.0739 - val_loss: 0.0141 - val_mse: 12.3075
Epoch 327/1000
0s - loss: 0.0104 - mse: 9.0670 - val_loss: 0.0141 - val_mse: 12.3029
Epoch 328/1000
0s - loss: 0.0104 - mse: 9.0599 - val_loss: 0.0141 - val_mse: 12.2971
Epoch 329/1000
0s - loss: 0.0104 - mse: 9.0528 - val_loss: 0.0141 - val_mse: 12.2911
Epoch 330/1000
0s - loss: 0.0104 - mse: 9.0457 - val_loss: 0.0141 - val_mse: 12.2860
Epoch 331/1000
0s - loss: 0.0104 - mse: 9.0388 - val_loss: 0.0141 - val_mse: 12.2819
Epoch 332/1000
0s - loss: 0.0104 - mse: 9.0317 - val_loss: 0.0141 - val_mse: 12.2786
Epoch 333/1000

Epoch 00332: reducing learning rate to 0.000823543069419.
0s - loss: 0.0104 - mse: 9.0247 - val_loss: 0.0141 - val_mse: 12.2752
Epoch 334/1000
0s - loss: 0.0104 - mse: 9.0177 - val_loss: 0.0141 - val_mse: 12.2724
Epoch 335/1000
0s - loss: 0.0103 - mse: 9.0129 - val_loss: 0.0141 - val_mse: 12.2691
Epoch 336/1000
0s - loss: 0.0103 - mse: 9.0079 - val_loss: 0.0141 - val_mse: 12.2657
Epoch 337/1000
0s - loss: 0.0103 - mse: 9.0031 - val_loss: 0.0141 - val_mse: 12.2625
Epoch 338/1000
0s - loss: 0.0103 - mse: 8.9982 - val_loss: 0.0141 - val_mse: 12.2597
Epoch 339/1000
0s - loss: 0.0103 - mse: 8.9933 - val_loss: 0.0141 - val_mse: 12.2570
Epoch 340/1000
0s - loss: 0.0103 - mse: 8.9885 - val_loss: 0.0141 - val_mse: 12.2543
Epoch 341/1000
0s - loss: 0.0103 - mse: 8.9837 - val_loss: 0.0141 - val_mse: 12.2512
Epoch 342/1000
0s - loss: 0.0103 - mse: 8.9788 - val_loss: 0.0141 - val_mse: 12.2480
Epoch 343/1000
0s - loss: 0.0103 - mse: 8.9740 - val_loss: 0.0141 - val_mse: 12.2448
Epoch 344/1000
0s - loss: 0.0103 - mse: 8.9692 - val_loss: 0.0141 - val_mse: 12.2419
Epoch 345/1000
0s - loss: 0.0103 - mse: 8.9644 - val_loss: 0.0141 - val_mse: 12.2392
Epoch 346/1000
0s - loss: 0.0103 - mse: 8.9596 - val_loss: 0.0141 - val_mse: 12.2367
Epoch 347/1000

Epoch 00346: reducing learning rate to 0.000576480140444.
0s - loss: 0.0103 - mse: 8.9548 - val_loss: 0.0140 - val_mse: 12.2341
Epoch 348/1000
0s - loss: 0.0103 - mse: 8.9500 - val_loss: 0.0140 - val_mse: 12.2319
Epoch 349/1000
0s - loss: 0.0103 - mse: 8.9467 - val_loss: 0.0140 - val_mse: 12.2295
Epoch 350/1000
0s - loss: 0.0103 - mse: 8.9433 - val_loss: 0.0140 - val_mse: 12.2271
Epoch 351/1000
0s - loss: 0.0103 - mse: 8.9400 - val_loss: 0.0140 - val_mse: 12.2248
Epoch 352/1000
0s - loss: 0.0103 - mse: 8.9366 - val_loss: 0.0140 - val_mse: 12.2226
Epoch 353/1000
0s - loss: 0.0103 - mse: 8.9333 - val_loss: 0.0140 - val_mse: 12.2204
Epoch 354/1000
0s - loss: 0.0103 - mse: 8.9300 - val_loss: 0.0140 - val_mse: 12.2182
Epoch 355/1000
0s - loss: 0.0103 - mse: 8.9267 - val_loss: 0.0140 - val_mse: 12.2160
Epoch 356/1000
0s - loss: 0.0102 - mse: 8.9234 - val_loss: 0.0140 - val_mse: 12.2138
Epoch 357/1000
0s - loss: 0.0102 - mse: 8.9201 - val_loss: 0.0140 - val_mse: 12.2118
Epoch 358/1000
0s - loss: 0.0102 - mse: 8.9167 - val_loss: 0.0140 - val_mse: 12.2098
Epoch 359/1000
0s - loss: 0.0102 - mse: 8.9134 - val_loss: 0.0140 - val_mse: 12.2079
Epoch 360/1000
0s - loss: 0.0102 - mse: 8.9101 - val_loss: 0.0140 - val_mse: 12.2060
Epoch 361/1000
0s - loss: 0.0102 - mse: 8.9068 - val_loss: 0.0140 - val_mse: 12.2040
Epoch 362/1000
0s - loss: 0.0102 - mse: 8.9035 - val_loss: 0.0140 - val_mse: 12.2019
Epoch 363/1000

Epoch 00362: reducing learning rate to 0.000403536082013.
0s - loss: 0.0102 - mse: 8.9002 - val_loss: 0.0140 - val_mse: 12.1997
Epoch 364/1000
0s - loss: 0.0102 - mse: 8.8970 - val_loss: 0.0140 - val_mse: 12.1982
Epoch 365/1000
0s - loss: 0.0102 - mse: 8.8947 - val_loss: 0.0140 - val_mse: 12.1966
Epoch 366/1000
0s - loss: 0.0102 - mse: 8.8924 - val_loss: 0.0140 - val_mse: 12.1950
Epoch 367/1000
0s - loss: 0.0102 - mse: 8.8901 - val_loss: 0.0140 - val_mse: 12.1935
Epoch 368/1000
0s - loss: 0.0102 - mse: 8.8878 - val_loss: 0.0140 - val_mse: 12.1920
Epoch 369/1000
0s - loss: 0.0102 - mse: 8.8855 - val_loss: 0.0140 - val_mse: 12.1905
Epoch 370/1000
0s - loss: 0.0102 - mse: 8.8832 - val_loss: 0.0140 - val_mse: 12.1891
Epoch 371/1000
0s - loss: 0.0102 - mse: 8.8810 - val_loss: 0.0140 - val_mse: 12.1877
Epoch 372/1000
0s - loss: 0.0102 - mse: 8.8787 - val_loss: 0.0140 - val_mse: 12.1862
Epoch 373/1000
0s - loss: 0.0102 - mse: 8.8764 - val_loss: 0.0140 - val_mse: 12.1846
Epoch 374/1000
0s - loss: 0.0102 - mse: 8.8741 - val_loss: 0.0140 - val_mse: 12.1831
Epoch 375/1000
0s - loss: 0.0102 - mse: 8.8719 - val_loss: 0.0140 - val_mse: 12.1817
Epoch 376/1000
0s - loss: 0.0102 - mse: 8.8696 - val_loss: 0.0140 - val_mse: 12.1803
Epoch 377/1000

Epoch 00376: reducing learning rate to 0.000282475253334.
0s - loss: 0.0102 - mse: 8.8674 - val_loss: 0.0140 - val_mse: 12.1788
Epoch 378/1000
0s - loss: 0.0102 - mse: 8.8651 - val_loss: 0.0140 - val_mse: 12.1777
Epoch 379/1000
0s - loss: 0.0102 - mse: 8.8635 - val_loss: 0.0140 - val_mse: 12.1767
Epoch 380/1000
0s - loss: 0.0102 - mse: 8.8620 - val_loss: 0.0140 - val_mse: 12.1757
Epoch 381/1000
0s - loss: 0.0102 - mse: 8.8604 - val_loss: 0.0140 - val_mse: 12.1747
Epoch 382/1000
0s - loss: 0.0102 - mse: 8.8588 - val_loss: 0.0140 - val_mse: 12.1737
Epoch 383/1000
0s - loss: 0.0102 - mse: 8.8573 - val_loss: 0.0140 - val_mse: 12.1727
Epoch 384/1000
0s - loss: 0.0102 - mse: 8.8557 - val_loss: 0.0140 - val_mse: 12.1717
Epoch 385/1000
0s - loss: 0.0102 - mse: 8.8542 - val_loss: 0.0140 - val_mse: 12.1707
Epoch 386/1000
0s - loss: 0.0102 - mse: 8.8526 - val_loss: 0.0140 - val_mse: 12.1697
Epoch 387/1000
0s - loss: 0.0102 - mse: 8.8510 - val_loss: 0.0140 - val_mse: 12.1687
Epoch 388/1000
0s - loss: 0.0102 - mse: 8.8495 - val_loss: 0.0140 - val_mse: 12.1677
Epoch 389/1000
0s - loss: 0.0102 - mse: 8.8479 - val_loss: 0.0140 - val_mse: 12.1667
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_65 (LSTM)               (None, None, 100)         41200     
_________________________________________________________________
time_distributed_62 (TimeDis (None, None, 1)           101       
=================================================================
Total params: 41,301
Trainable params: 41,301
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 1.1292 - mse: 983.3284 - val_loss: 0.6596 - val_mse: 574.4092
Epoch 2/1000
0s - loss: 0.6116 - mse: 532.5966 - val_loss: 0.3756 - val_mse: 327.1118
Epoch 3/1000
0s - loss: 0.3487 - mse: 303.6971 - val_loss: 0.3051 - val_mse: 265.6767
Epoch 4/1000
0s - loss: 0.3062 - mse: 266.6526 - val_loss: 0.2438 - val_mse: 212.2954
Epoch 5/1000
0s - loss: 0.2418 - mse: 210.5301 - val_loss: 0.1719 - val_mse: 149.6708
Epoch 6/1000
0s - loss: 0.1686 - mse: 146.7932 - val_loss: 0.1790 - val_mse: 155.8658
Epoch 7/1000
0s - loss: 0.1723 - mse: 150.0370 - val_loss: 0.1508 - val_mse: 131.3632
Epoch 8/1000
0s - loss: 0.1391 - mse: 121.1223 - val_loss: 0.1453 - val_mse: 126.5366
Epoch 9/1000
0s - loss: 0.1306 - mse: 113.7700 - val_loss: 0.1320 - val_mse: 114.9591
Epoch 10/1000
0s - loss: 0.1159 - mse: 100.8913 - val_loss: 0.1266 - val_mse: 110.2739
Epoch 11/1000
0s - loss: 0.1074 - mse: 93.5707 - val_loss: 0.1390 - val_mse: 121.0580
Epoch 12/1000
0s - loss: 0.1131 - mse: 98.5346 - val_loss: 0.1411 - val_mse: 122.8473
Epoch 13/1000
0s - loss: 0.1132 - mse: 98.5521 - val_loss: 0.1227 - val_mse: 106.8723
Epoch 14/1000
0s - loss: 0.1005 - mse: 87.5319 - val_loss: 0.1118 - val_mse: 97.3559
Epoch 15/1000
0s - loss: 0.0947 - mse: 82.4666 - val_loss: 0.1075 - val_mse: 93.6316
Epoch 16/1000
0s - loss: 0.0931 - mse: 81.1041 - val_loss: 0.1022 - val_mse: 88.9614
Epoch 17/1000
0s - loss: 0.0893 - mse: 77.7793 - val_loss: 0.0935 - val_mse: 81.4215
Epoch 18/1000
0s - loss: 0.0818 - mse: 71.2130 - val_loss: 0.0846 - val_mse: 73.6452
Epoch 19/1000
0s - loss: 0.0738 - mse: 64.2927 - val_loss: 0.0797 - val_mse: 69.3850
Epoch 20/1000
0s - loss: 0.0700 - mse: 60.9566 - val_loss: 0.0785 - val_mse: 68.3841
Epoch 21/1000
0s - loss: 0.0701 - mse: 61.0859 - val_loss: 0.0772 - val_mse: 67.2715
Epoch 22/1000
0s - loss: 0.0703 - mse: 61.1898 - val_loss: 0.0743 - val_mse: 64.7445
Epoch 23/1000
0s - loss: 0.0684 - mse: 59.5822 - val_loss: 0.0709 - val_mse: 61.7158
Epoch 24/1000
0s - loss: 0.0655 - mse: 57.0262 - val_loss: 0.0675 - val_mse: 58.8228
Epoch 25/1000
0s - loss: 0.0625 - mse: 54.4218 - val_loss: 0.0653 - val_mse: 56.8621
Epoch 26/1000
0s - loss: 0.0604 - mse: 52.6093 - val_loss: 0.0632 - val_mse: 55.0733
Epoch 27/1000
0s - loss: 0.0584 - mse: 50.8640 - val_loss: 0.0609 - val_mse: 53.0608
Epoch 28/1000
0s - loss: 0.0562 - mse: 48.9292 - val_loss: 0.0591 - val_mse: 51.4552
Epoch 29/1000
0s - loss: 0.0544 - mse: 47.3838 - val_loss: 0.0572 - val_mse: 49.8158
Epoch 30/1000
0s - loss: 0.0525 - mse: 45.7440 - val_loss: 0.0552 - val_mse: 48.0320
Epoch 31/1000
0s - loss: 0.0504 - mse: 43.8807 - val_loss: 0.0538 - val_mse: 46.8840
Epoch 32/1000
0s - loss: 0.0488 - mse: 42.5155 - val_loss: 0.0528 - val_mse: 45.9933
Epoch 33/1000
0s - loss: 0.0474 - mse: 41.3112 - val_loss: 0.0512 - val_mse: 44.5664
Epoch 34/1000
0s - loss: 0.0456 - mse: 39.7250 - val_loss: 0.0499 - val_mse: 43.4654
Epoch 35/1000
0s - loss: 0.0445 - mse: 38.7135 - val_loss: 0.0498 - val_mse: 43.3421
Epoch 36/1000
0s - loss: 0.0444 - mse: 38.6667 - val_loss: 0.0495 - val_mse: 43.1459
Epoch 37/1000
0s - loss: 0.0439 - mse: 38.2430 - val_loss: 0.0486 - val_mse: 42.2832
Epoch 38/1000
0s - loss: 0.0426 - mse: 37.1065 - val_loss: 0.0468 - val_mse: 40.7142
Epoch 39/1000
0s - loss: 0.0409 - mse: 35.6454 - val_loss: 0.0450 - val_mse: 39.2229
Epoch 40/1000
0s - loss: 0.0398 - mse: 34.6351 - val_loss: 0.0434 - val_mse: 37.7926
Epoch 41/1000
0s - loss: 0.0387 - mse: 33.6815 - val_loss: 0.0417 - val_mse: 36.3515
Epoch 42/1000
0s - loss: 0.0375 - mse: 32.6161 - val_loss: 0.0404 - val_mse: 35.1768
Epoch 43/1000
0s - loss: 0.0364 - mse: 31.7418 - val_loss: 0.0395 - val_mse: 34.4073
Epoch 44/1000
0s - loss: 0.0358 - mse: 31.1394 - val_loss: 0.0387 - val_mse: 33.7255
Epoch 45/1000
0s - loss: 0.0350 - mse: 30.4471 - val_loss: 0.0378 - val_mse: 32.8950
Epoch 46/1000
0s - loss: 0.0340 - mse: 29.6048 - val_loss: 0.0366 - val_mse: 31.8644
Epoch 47/1000
0s - loss: 0.0331 - mse: 28.7882 - val_loss: 0.0356 - val_mse: 30.9794
Epoch 48/1000
0s - loss: 0.0324 - mse: 28.2265 - val_loss: 0.0350 - val_mse: 30.4671
Epoch 49/1000
0s - loss: 0.0320 - mse: 27.8290 - val_loss: 0.0346 - val_mse: 30.1490
Epoch 50/1000
0s - loss: 0.0315 - mse: 27.4141 - val_loss: 0.0341 - val_mse: 29.7338
Epoch 51/1000
0s - loss: 0.0309 - mse: 26.9226 - val_loss: 0.0336 - val_mse: 29.2729
Epoch 52/1000
0s - loss: 0.0303 - mse: 26.4286 - val_loss: 0.0331 - val_mse: 28.8584
Epoch 53/1000
0s - loss: 0.0298 - mse: 25.9156 - val_loss: 0.0326 - val_mse: 28.4072
Epoch 54/1000
0s - loss: 0.0293 - mse: 25.5297 - val_loss: 0.0321 - val_mse: 27.9137
Epoch 55/1000
0s - loss: 0.0290 - mse: 25.2577 - val_loss: 0.0315 - val_mse: 27.4310
Epoch 56/1000
0s - loss: 0.0286 - mse: 24.8928 - val_loss: 0.0309 - val_mse: 26.8654
Epoch 57/1000
0s - loss: 0.0280 - mse: 24.4089 - val_loss: 0.0302 - val_mse: 26.2809
Epoch 58/1000
0s - loss: 0.0275 - mse: 23.9811 - val_loss: 0.0297 - val_mse: 25.8674
Epoch 59/1000
0s - loss: 0.0271 - mse: 23.6321 - val_loss: 0.0292 - val_mse: 25.4345
Epoch 60/1000
0s - loss: 0.0267 - mse: 23.2667 - val_loss: 0.0287 - val_mse: 24.9637
Epoch 61/1000
0s - loss: 0.0264 - mse: 22.9500 - val_loss: 0.0283 - val_mse: 24.6857
Epoch 62/1000
0s - loss: 0.0261 - mse: 22.7011 - val_loss: 0.0279 - val_mse: 24.3087
Epoch 63/1000
0s - loss: 0.0257 - mse: 22.3909 - val_loss: 0.0274 - val_mse: 23.8900
Epoch 64/1000
0s - loss: 0.0253 - mse: 22.0736 - val_loss: 0.0272 - val_mse: 23.6514
Epoch 65/1000
0s - loss: 0.0251 - mse: 21.8320 - val_loss: 0.0268 - val_mse: 23.3450
Epoch 66/1000
0s - loss: 0.0248 - mse: 21.5952 - val_loss: 0.0266 - val_mse: 23.1479
Epoch 67/1000
0s - loss: 0.0245 - mse: 21.3126 - val_loss: 0.0264 - val_mse: 22.9657
Epoch 68/1000
0s - loss: 0.0241 - mse: 21.0247 - val_loss: 0.0262 - val_mse: 22.8463
Epoch 69/1000
0s - loss: 0.0239 - mse: 20.7751 - val_loss: 0.0261 - val_mse: 22.7145
Epoch 70/1000
0s - loss: 0.0236 - mse: 20.5636 - val_loss: 0.0258 - val_mse: 22.4417
Epoch 71/1000
0s - loss: 0.0234 - mse: 20.3553 - val_loss: 0.0255 - val_mse: 22.2192
Epoch 72/1000
0s - loss: 0.0231 - mse: 20.1507 - val_loss: 0.0251 - val_mse: 21.8563
Epoch 73/1000
0s - loss: 0.0230 - mse: 20.0308 - val_loss: 0.0257 - val_mse: 22.3630
Epoch 74/1000
0s - loss: 0.0235 - mse: 20.4359 - val_loss: 0.0269 - val_mse: 23.4645
Epoch 75/1000
0s - loss: 0.0256 - mse: 22.2861 - val_loss: 0.0320 - val_mse: 27.8845
Epoch 76/1000
0s - loss: 0.0304 - mse: 26.4327 - val_loss: 0.0246 - val_mse: 21.4380
Epoch 77/1000
0s - loss: 0.0232 - mse: 20.2175 - val_loss: 0.0261 - val_mse: 22.7526
Epoch 78/1000
0s - loss: 0.0250 - mse: 21.7840 - val_loss: 0.0271 - val_mse: 23.5806
Epoch 79/1000
0s - loss: 0.0253 - mse: 22.0064 - val_loss: 0.0246 - val_mse: 21.4107
Epoch 80/1000
0s - loss: 0.0227 - mse: 19.7693 - val_loss: 0.0260 - val_mse: 22.6566
Epoch 81/1000
0s - loss: 0.0245 - mse: 21.3396 - val_loss: 0.0235 - val_mse: 20.4234
Epoch 82/1000
0s - loss: 0.0217 - mse: 18.8914 - val_loss: 0.0250 - val_mse: 21.7620
Epoch 83/1000
0s - loss: 0.0230 - mse: 20.0474 - val_loss: 0.0238 - val_mse: 20.7589
Epoch 84/1000
0s - loss: 0.0217 - mse: 18.9286 - val_loss: 0.0237 - val_mse: 20.6476
Epoch 85/1000
0s - loss: 0.0218 - mse: 18.9551 - val_loss: 0.0236 - val_mse: 20.5359
Epoch 86/1000
0s - loss: 0.0216 - mse: 18.8521 - val_loss: 0.0228 - val_mse: 19.8482
Epoch 87/1000
0s - loss: 0.0208 - mse: 18.0760 - val_loss: 0.0235 - val_mse: 20.4809
Epoch 88/1000
0s - loss: 0.0215 - mse: 18.7417 - val_loss: 0.0220 - val_mse: 19.1530
Epoch 89/1000
0s - loss: 0.0201 - mse: 17.4900 - val_loss: 0.0227 - val_mse: 19.7919
Epoch 90/1000
0s - loss: 0.0210 - mse: 18.2598 - val_loss: 0.0218 - val_mse: 18.9643
Epoch 91/1000
0s - loss: 0.0199 - mse: 17.3460 - val_loss: 0.0220 - val_mse: 19.1527
Epoch 92/1000
0s - loss: 0.0201 - mse: 17.4999 - val_loss: 0.0218 - val_mse: 18.9645
Epoch 93/1000
0s - loss: 0.0199 - mse: 17.3665 - val_loss: 0.0211 - val_mse: 18.3952
Epoch 94/1000
0s - loss: 0.0193 - mse: 16.8328 - val_loss: 0.0214 - val_mse: 18.6570
Epoch 95/1000
0s - loss: 0.0197 - mse: 17.1274 - val_loss: 0.0207 - val_mse: 18.0695
Epoch 96/1000
0s - loss: 0.0189 - mse: 16.4754 - val_loss: 0.0210 - val_mse: 18.2687
Epoch 97/1000
0s - loss: 0.0191 - mse: 16.6515 - val_loss: 0.0206 - val_mse: 17.9040
Epoch 98/1000
0s - loss: 0.0187 - mse: 16.2523 - val_loss: 0.0206 - val_mse: 17.8972
Epoch 99/1000
0s - loss: 0.0186 - mse: 16.1726 - val_loss: 0.0203 - val_mse: 17.6713
Epoch 100/1000
0s - loss: 0.0184 - mse: 15.9905 - val_loss: 0.0200 - val_mse: 17.4159
Epoch 101/1000
0s - loss: 0.0181 - mse: 15.7907 - val_loss: 0.0198 - val_mse: 17.2370
Epoch 102/1000
0s - loss: 0.0180 - mse: 15.6765 - val_loss: 0.0196 - val_mse: 17.0685
Epoch 103/1000
0s - loss: 0.0177 - mse: 15.4413 - val_loss: 0.0196 - val_mse: 17.0550
Epoch 104/1000
0s - loss: 0.0176 - mse: 15.3511 - val_loss: 0.0193 - val_mse: 16.8270
Epoch 105/1000
0s - loss: 0.0173 - mse: 15.1066 - val_loss: 0.0192 - val_mse: 16.7469
Epoch 106/1000
0s - loss: 0.0173 - mse: 15.0377 - val_loss: 0.0190 - val_mse: 16.5243
Epoch 107/1000
0s - loss: 0.0170 - mse: 14.7941 - val_loss: 0.0190 - val_mse: 16.5351
Epoch 108/1000
0s - loss: 0.0169 - mse: 14.7328 - val_loss: 0.0187 - val_mse: 16.2807
Epoch 109/1000
0s - loss: 0.0166 - mse: 14.4718 - val_loss: 0.0187 - val_mse: 16.2424
Epoch 110/1000
0s - loss: 0.0166 - mse: 14.4342 - val_loss: 0.0183 - val_mse: 15.9774
Epoch 111/1000
0s - loss: 0.0163 - mse: 14.1677 - val_loss: 0.0184 - val_mse: 15.9898
Epoch 112/1000
0s - loss: 0.0162 - mse: 14.1306 - val_loss: 0.0181 - val_mse: 15.7568
Epoch 113/1000
0s - loss: 0.0159 - mse: 13.8814 - val_loss: 0.0181 - val_mse: 15.7397
Epoch 114/1000
0s - loss: 0.0159 - mse: 13.8213 - val_loss: 0.0179 - val_mse: 15.5563
Epoch 115/1000
0s - loss: 0.0156 - mse: 13.6152 - val_loss: 0.0177 - val_mse: 15.4291
Epoch 116/1000
0s - loss: 0.0155 - mse: 13.5046 - val_loss: 0.0175 - val_mse: 15.2516
Epoch 117/1000
0s - loss: 0.0153 - mse: 13.3550 - val_loss: 0.0174 - val_mse: 15.1716
Epoch 118/1000
0s - loss: 0.0152 - mse: 13.2030 - val_loss: 0.0174 - val_mse: 15.1228
Epoch 119/1000
0s - loss: 0.0150 - mse: 13.0866 - val_loss: 0.0171 - val_mse: 14.9246
Epoch 120/1000
0s - loss: 0.0148 - mse: 12.9237 - val_loss: 0.0170 - val_mse: 14.7717
Epoch 121/1000
0s - loss: 0.0147 - mse: 12.7914 - val_loss: 0.0169 - val_mse: 14.7027
Epoch 122/1000
0s - loss: 0.0145 - mse: 12.6659 - val_loss: 0.0167 - val_mse: 14.5601
Epoch 123/1000
0s - loss: 0.0143 - mse: 12.4907 - val_loss: 0.0166 - val_mse: 14.4634
Epoch 124/1000
0s - loss: 0.0142 - mse: 12.3925 - val_loss: 0.0165 - val_mse: 14.3278
Epoch 125/1000
0s - loss: 0.0140 - mse: 12.2209 - val_loss: 0.0163 - val_mse: 14.2055
Epoch 126/1000
0s - loss: 0.0139 - mse: 12.0949 - val_loss: 0.0162 - val_mse: 14.0700
Epoch 127/1000
0s - loss: 0.0137 - mse: 11.9614 - val_loss: 0.0160 - val_mse: 13.9700
Epoch 128/1000
0s - loss: 0.0136 - mse: 11.8142 - val_loss: 0.0159 - val_mse: 13.8231
Epoch 129/1000
0s - loss: 0.0134 - mse: 11.6685 - val_loss: 0.0157 - val_mse: 13.6830
Epoch 130/1000
0s - loss: 0.0133 - mse: 11.5536 - val_loss: 0.0156 - val_mse: 13.5481
Epoch 131/1000
0s - loss: 0.0131 - mse: 11.3945 - val_loss: 0.0154 - val_mse: 13.4229
Epoch 132/1000
0s - loss: 0.0129 - mse: 11.2576 - val_loss: 0.0153 - val_mse: 13.2948
Epoch 133/1000
0s - loss: 0.0128 - mse: 11.1308 - val_loss: 0.0151 - val_mse: 13.1844
Epoch 134/1000
0s - loss: 0.0126 - mse: 10.9957 - val_loss: 0.0150 - val_mse: 13.0545
Epoch 135/1000
0s - loss: 0.0125 - mse: 10.8512 - val_loss: 0.0148 - val_mse: 12.9289
Epoch 136/1000
0s - loss: 0.0123 - mse: 10.7111 - val_loss: 0.0147 - val_mse: 12.8232
Epoch 137/1000
0s - loss: 0.0122 - mse: 10.5947 - val_loss: 0.0146 - val_mse: 12.6943
Epoch 138/1000
0s - loss: 0.0120 - mse: 10.4683 - val_loss: 0.0145 - val_mse: 12.6008
Epoch 139/1000
0s - loss: 0.0119 - mse: 10.3370 - val_loss: 0.0143 - val_mse: 12.4704
Epoch 140/1000
0s - loss: 0.0117 - mse: 10.1961 - val_loss: 0.0142 - val_mse: 12.3436
Epoch 141/1000
0s - loss: 0.0115 - mse: 10.0538 - val_loss: 0.0140 - val_mse: 12.2090
Epoch 142/1000
0s - loss: 0.0114 - mse: 9.9208 - val_loss: 0.0139 - val_mse: 12.0768
Epoch 143/1000
0s - loss: 0.0112 - mse: 9.7844 - val_loss: 0.0137 - val_mse: 11.9577
Epoch 144/1000
0s - loss: 0.0111 - mse: 9.6531 - val_loss: 0.0136 - val_mse: 11.8251
Epoch 145/1000
0s - loss: 0.0109 - mse: 9.5238 - val_loss: 0.0134 - val_mse: 11.6776
Epoch 146/1000
0s - loss: 0.0108 - mse: 9.3924 - val_loss: 0.0133 - val_mse: 11.5467
Epoch 147/1000
0s - loss: 0.0106 - mse: 9.2647 - val_loss: 0.0131 - val_mse: 11.4328
Epoch 148/1000
0s - loss: 0.0105 - mse: 9.1514 - val_loss: 0.0130 - val_mse: 11.3513
Epoch 149/1000
0s - loss: 0.0104 - mse: 9.0973 - val_loss: 0.0134 - val_mse: 11.6528
Epoch 150/1000
0s - loss: 0.0108 - mse: 9.3856 - val_loss: 0.0152 - val_mse: 13.1960
Epoch 151/1000
0s - loss: 0.0128 - mse: 11.1173 - val_loss: 0.0233 - val_mse: 20.3008
Epoch 152/1000

Epoch 00151: reducing learning rate to 0.00699999984354.
4s - loss: 0.0211 - mse: 18.3754 - val_loss: 0.0179 - val_mse: 15.6283
Epoch 153/1000
0s - loss: 0.0160 - mse: 13.9253 - val_loss: 0.0140 - val_mse: 12.1597
Epoch 154/1000
0s - loss: 0.0116 - mse: 10.1406 - val_loss: 0.0168 - val_mse: 14.6359
Epoch 155/1000
0s - loss: 0.0141 - mse: 12.2583 - val_loss: 0.0143 - val_mse: 12.4267
Epoch 156/1000
0s - loss: 0.0118 - mse: 10.2676 - val_loss: 0.0141 - val_mse: 12.2520
Epoch 157/1000
0s - loss: 0.0117 - mse: 10.2289 - val_loss: 0.0150 - val_mse: 13.0470
Epoch 158/1000
0s - loss: 0.0127 - mse: 11.0297 - val_loss: 0.0128 - val_mse: 11.1812
Epoch 159/1000
0s - loss: 0.0102 - mse: 8.8796 - val_loss: 0.0154 - val_mse: 13.3762
Epoch 160/1000
0s - loss: 0.0125 - mse: 10.8895 - val_loss: 0.0127 - val_mse: 11.0526
Epoch 161/1000
0s - loss: 0.0101 - mse: 8.7675 - val_loss: 0.0132 - val_mse: 11.5201
Epoch 162/1000
0s - loss: 0.0110 - mse: 9.6209 - val_loss: 0.0130 - val_mse: 11.2908
Epoch 163/1000
0s - loss: 0.0109 - mse: 9.5281 - val_loss: 0.0120 - val_mse: 10.4656
Epoch 164/1000
0s - loss: 0.0098 - mse: 8.5056 - val_loss: 0.0134 - val_mse: 11.6785
Epoch 165/1000
0s - loss: 0.0110 - mse: 9.5502 - val_loss: 0.0122 - val_mse: 10.6215
Epoch 166/1000
0s - loss: 0.0099 - mse: 8.5793 - val_loss: 0.0121 - val_mse: 10.5536
Epoch 167/1000
0s - loss: 0.0099 - mse: 8.6541 - val_loss: 0.0124 - val_mse: 10.8138
Epoch 168/1000
0s - loss: 0.0102 - mse: 8.9010 - val_loss: 0.0119 - val_mse: 10.3536
Epoch 169/1000
0s - loss: 0.0095 - mse: 8.2388 - val_loss: 0.0124 - val_mse: 10.8166
Epoch 170/1000
0s - loss: 0.0098 - mse: 8.5691 - val_loss: 0.0121 - val_mse: 10.5364
Epoch 171/1000
0s - loss: 0.0096 - mse: 8.3524 - val_loss: 0.0117 - val_mse: 10.2192
Epoch 172/1000
0s - loss: 0.0094 - mse: 8.1654 - val_loss: 0.0117 - val_mse: 10.2264
Epoch 173/1000
0s - loss: 0.0095 - mse: 8.2495 - val_loss: 0.0116 - val_mse: 10.0934
Epoch 174/1000
0s - loss: 0.0092 - mse: 8.0461 - val_loss: 0.0116 - val_mse: 10.1245
Epoch 175/1000
0s - loss: 0.0092 - mse: 8.0141 - val_loss: 0.0114 - val_mse: 9.9554
Epoch 176/1000
0s - loss: 0.0091 - mse: 7.9218 - val_loss: 0.0113 - val_mse: 9.7992
Epoch 177/1000
0s - loss: 0.0090 - mse: 7.8787 - val_loss: 0.0111 - val_mse: 9.6279
Epoch 178/1000
0s - loss: 0.0089 - mse: 7.7648 - val_loss: 0.0111 - val_mse: 9.6651
Epoch 179/1000
0s - loss: 0.0089 - mse: 7.7092 - val_loss: 0.0112 - val_mse: 9.7758
Epoch 180/1000
0s - loss: 0.0088 - mse: 7.6995 - val_loss: 0.0110 - val_mse: 9.5987
Epoch 181/1000
0s - loss: 0.0087 - mse: 7.5392 - val_loss: 0.0109 - val_mse: 9.5344
Epoch 182/1000
0s - loss: 0.0087 - mse: 7.5664 - val_loss: 0.0108 - val_mse: 9.3685
Epoch 183/1000
0s - loss: 0.0086 - mse: 7.4790 - val_loss: 0.0106 - val_mse: 9.2601
Epoch 184/1000
0s - loss: 0.0085 - mse: 7.3652 - val_loss: 0.0107 - val_mse: 9.3599
Epoch 185/1000
0s - loss: 0.0085 - mse: 7.4229 - val_loss: 0.0105 - val_mse: 9.1697
Epoch 186/1000
0s - loss: 0.0083 - mse: 7.2612 - val_loss: 0.0105 - val_mse: 9.1097
Epoch 187/1000
0s - loss: 0.0083 - mse: 7.2530 - val_loss: 0.0104 - val_mse: 9.0689
Epoch 188/1000
0s - loss: 0.0083 - mse: 7.2236 - val_loss: 0.0103 - val_mse: 8.9833
Epoch 189/1000
0s - loss: 0.0081 - mse: 7.0960 - val_loss: 0.0104 - val_mse: 9.0673
Epoch 190/1000
0s - loss: 0.0082 - mse: 7.1390 - val_loss: 0.0102 - val_mse: 8.9195
Epoch 191/1000
0s - loss: 0.0081 - mse: 7.0260 - val_loss: 0.0101 - val_mse: 8.8371
Epoch 192/1000
0s - loss: 0.0080 - mse: 6.9924 - val_loss: 0.0101 - val_mse: 8.8229
Epoch 193/1000
0s - loss: 0.0080 - mse: 6.9717 - val_loss: 0.0101 - val_mse: 8.7672
Epoch 194/1000
0s - loss: 0.0079 - mse: 6.8740 - val_loss: 0.0101 - val_mse: 8.7882
Epoch 195/1000
0s - loss: 0.0079 - mse: 6.8808 - val_loss: 0.0099 - val_mse: 8.6577
Epoch 196/1000
0s - loss: 0.0078 - mse: 6.7978 - val_loss: 0.0099 - val_mse: 8.5859
Epoch 197/1000
0s - loss: 0.0078 - mse: 6.7652 - val_loss: 0.0098 - val_mse: 8.5694
Epoch 198/1000
0s - loss: 0.0077 - mse: 6.7270 - val_loss: 0.0098 - val_mse: 8.5550
Epoch 199/1000
0s - loss: 0.0077 - mse: 6.6666 - val_loss: 0.0098 - val_mse: 8.5386
Epoch 200/1000
0s - loss: 0.0076 - mse: 6.6440 - val_loss: 0.0097 - val_mse: 8.4425
Epoch 201/1000
0s - loss: 0.0076 - mse: 6.5868 - val_loss: 0.0096 - val_mse: 8.3876
Epoch 202/1000
0s - loss: 0.0075 - mse: 6.5501 - val_loss: 0.0096 - val_mse: 8.3681
Epoch 203/1000
0s - loss: 0.0075 - mse: 6.5120 - val_loss: 0.0096 - val_mse: 8.3390
Epoch 204/1000
0s - loss: 0.0074 - mse: 6.4652 - val_loss: 0.0095 - val_mse: 8.2946
Epoch 205/1000
0s - loss: 0.0074 - mse: 6.4317 - val_loss: 0.0095 - val_mse: 8.2354
Epoch 206/1000
0s - loss: 0.0073 - mse: 6.3882 - val_loss: 0.0094 - val_mse: 8.2053
Epoch 207/1000
0s - loss: 0.0073 - mse: 6.3484 - val_loss: 0.0094 - val_mse: 8.1851
Epoch 208/1000
0s - loss: 0.0073 - mse: 6.3152 - val_loss: 0.0093 - val_mse: 8.1329
Epoch 209/1000
0s - loss: 0.0072 - mse: 6.2685 - val_loss: 0.0093 - val_mse: 8.0921
Epoch 210/1000
0s - loss: 0.0072 - mse: 6.2398 - val_loss: 0.0093 - val_mse: 8.0554
Epoch 211/1000
0s - loss: 0.0071 - mse: 6.1920 - val_loss: 0.0092 - val_mse: 8.0436
Epoch 212/1000
0s - loss: 0.0071 - mse: 6.1620 - val_loss: 0.0092 - val_mse: 7.9965
Epoch 213/1000
0s - loss: 0.0070 - mse: 6.1190 - val_loss: 0.0091 - val_mse: 7.9451
Epoch 214/1000
0s - loss: 0.0070 - mse: 6.0846 - val_loss: 0.0091 - val_mse: 7.9130
Epoch 215/1000
0s - loss: 0.0069 - mse: 6.0475 - val_loss: 0.0091 - val_mse: 7.9001
Epoch 216/1000
0s - loss: 0.0069 - mse: 6.0088 - val_loss: 0.0090 - val_mse: 7.8788
Epoch 217/1000
0s - loss: 0.0069 - mse: 5.9753 - val_loss: 0.0090 - val_mse: 7.8317
Epoch 218/1000
0s - loss: 0.0068 - mse: 5.9356 - val_loss: 0.0090 - val_mse: 7.7992
Epoch 219/1000
0s - loss: 0.0068 - mse: 5.9037 - val_loss: 0.0089 - val_mse: 7.7735
Epoch 220/1000
0s - loss: 0.0067 - mse: 5.8645 - val_loss: 0.0089 - val_mse: 7.7476
Epoch 221/1000
0s - loss: 0.0067 - mse: 5.8322 - val_loss: 0.0089 - val_mse: 7.7070
Epoch 222/1000
0s - loss: 0.0067 - mse: 5.7943 - val_loss: 0.0088 - val_mse: 7.6792
Epoch 223/1000
0s - loss: 0.0066 - mse: 5.7615 - val_loss: 0.0088 - val_mse: 7.6546
Epoch 224/1000
0s - loss: 0.0066 - mse: 5.7253 - val_loss: 0.0088 - val_mse: 7.6207
Epoch 225/1000
0s - loss: 0.0065 - mse: 5.6914 - val_loss: 0.0087 - val_mse: 7.5818
Epoch 226/1000
0s - loss: 0.0065 - mse: 5.6568 - val_loss: 0.0087 - val_mse: 7.5575
Epoch 227/1000
0s - loss: 0.0065 - mse: 5.6225 - val_loss: 0.0087 - val_mse: 7.5388
Epoch 228/1000
0s - loss: 0.0064 - mse: 5.5886 - val_loss: 0.0086 - val_mse: 7.5073
Epoch 229/1000
0s - loss: 0.0064 - mse: 5.5540 - val_loss: 0.0086 - val_mse: 7.4738
Epoch 230/1000
0s - loss: 0.0063 - mse: 5.5204 - val_loss: 0.0086 - val_mse: 7.4471
Epoch 231/1000
0s - loss: 0.0063 - mse: 5.4861 - val_loss: 0.0085 - val_mse: 7.4208
Epoch 232/1000
0s - loss: 0.0063 - mse: 5.4529 - val_loss: 0.0085 - val_mse: 7.3862
Epoch 233/1000
0s - loss: 0.0062 - mse: 5.4191 - val_loss: 0.0084 - val_mse: 7.3535
Epoch 234/1000
0s - loss: 0.0062 - mse: 5.3858 - val_loss: 0.0084 - val_mse: 7.3260
Epoch 235/1000
0s - loss: 0.0061 - mse: 5.3526 - val_loss: 0.0084 - val_mse: 7.2946
Epoch 236/1000
0s - loss: 0.0061 - mse: 5.3194 - val_loss: 0.0083 - val_mse: 7.2617
Epoch 237/1000
0s - loss: 0.0061 - mse: 5.2871 - val_loss: 0.0083 - val_mse: 7.2341
Epoch 238/1000
0s - loss: 0.0060 - mse: 5.2546 - val_loss: 0.0083 - val_mse: 7.2060
Epoch 239/1000
0s - loss: 0.0060 - mse: 5.2225 - val_loss: 0.0082 - val_mse: 7.1708
Epoch 240/1000
0s - loss: 0.0060 - mse: 5.1900 - val_loss: 0.0082 - val_mse: 7.1381
Epoch 241/1000
0s - loss: 0.0059 - mse: 5.1576 - val_loss: 0.0082 - val_mse: 7.1107
Epoch 242/1000
0s - loss: 0.0059 - mse: 5.1251 - val_loss: 0.0081 - val_mse: 7.0818
Epoch 243/1000
0s - loss: 0.0058 - mse: 5.0928 - val_loss: 0.0081 - val_mse: 7.0489
Epoch 244/1000
0s - loss: 0.0058 - mse: 5.0602 - val_loss: 0.0081 - val_mse: 7.0190
Epoch 245/1000
0s - loss: 0.0058 - mse: 5.0287 - val_loss: 0.0080 - val_mse: 6.9896
Epoch 246/1000
0s - loss: 0.0057 - mse: 4.9964 - val_loss: 0.0080 - val_mse: 6.9597
Epoch 247/1000
0s - loss: 0.0057 - mse: 4.9654 - val_loss: 0.0080 - val_mse: 6.9295
Epoch 248/1000
0s - loss: 0.0057 - mse: 4.9338 - val_loss: 0.0079 - val_mse: 6.8999
Epoch 249/1000
0s - loss: 0.0056 - mse: 4.9030 - val_loss: 0.0079 - val_mse: 6.8678
Epoch 250/1000
0s - loss: 0.0056 - mse: 4.8716 - val_loss: 0.0079 - val_mse: 6.8366
Epoch 251/1000
0s - loss: 0.0056 - mse: 4.8405 - val_loss: 0.0078 - val_mse: 6.8078
Epoch 252/1000
0s - loss: 0.0055 - mse: 4.8092 - val_loss: 0.0078 - val_mse: 6.7795
Epoch 253/1000
0s - loss: 0.0055 - mse: 4.7783 - val_loss: 0.0078 - val_mse: 6.7510
Epoch 254/1000
0s - loss: 0.0055 - mse: 4.7480 - val_loss: 0.0077 - val_mse: 6.7205
Epoch 255/1000
0s - loss: 0.0054 - mse: 4.7173 - val_loss: 0.0077 - val_mse: 6.6893
Epoch 256/1000
0s - loss: 0.0054 - mse: 4.6872 - val_loss: 0.0076 - val_mse: 6.6591
Epoch 257/1000
0s - loss: 0.0053 - mse: 4.6566 - val_loss: 0.0076 - val_mse: 6.6326
Epoch 258/1000
0s - loss: 0.0053 - mse: 4.6262 - val_loss: 0.0076 - val_mse: 6.6053
Epoch 259/1000
0s - loss: 0.0053 - mse: 4.5957 - val_loss: 0.0076 - val_mse: 6.5755
Epoch 260/1000
0s - loss: 0.0052 - mse: 4.5650 - val_loss: 0.0075 - val_mse: 6.5475
Epoch 261/1000
0s - loss: 0.0052 - mse: 4.5345 - val_loss: 0.0075 - val_mse: 6.5181
Epoch 262/1000
0s - loss: 0.0052 - mse: 4.5037 - val_loss: 0.0074 - val_mse: 6.4874
Epoch 263/1000
0s - loss: 0.0051 - mse: 4.4729 - val_loss: 0.0074 - val_mse: 6.4608
Epoch 264/1000
0s - loss: 0.0051 - mse: 4.4423 - val_loss: 0.0074 - val_mse: 6.4313
Epoch 265/1000
0s - loss: 0.0051 - mse: 4.4115 - val_loss: 0.0073 - val_mse: 6.4006
Epoch 266/1000
0s - loss: 0.0050 - mse: 4.3810 - val_loss: 0.0073 - val_mse: 6.3741
Epoch 267/1000
0s - loss: 0.0050 - mse: 4.3504 - val_loss: 0.0073 - val_mse: 6.3459
Epoch 268/1000
0s - loss: 0.0050 - mse: 4.3199 - val_loss: 0.0073 - val_mse: 6.3159
Epoch 269/1000
0s - loss: 0.0049 - mse: 4.2891 - val_loss: 0.0072 - val_mse: 6.2899
Epoch 270/1000
0s - loss: 0.0049 - mse: 4.2585 - val_loss: 0.0072 - val_mse: 6.2587
Epoch 271/1000
0s - loss: 0.0049 - mse: 4.2278 - val_loss: 0.0072 - val_mse: 6.2270
Epoch 272/1000
0s - loss: 0.0048 - mse: 4.1973 - val_loss: 0.0071 - val_mse: 6.2012
Epoch 273/1000
0s - loss: 0.0048 - mse: 4.1669 - val_loss: 0.0071 - val_mse: 6.1733
Epoch 274/1000
0s - loss: 0.0047 - mse: 4.1364 - val_loss: 0.0071 - val_mse: 6.1447
Epoch 275/1000
0s - loss: 0.0047 - mse: 4.1059 - val_loss: 0.0070 - val_mse: 6.1213
Epoch 276/1000
0s - loss: 0.0047 - mse: 4.0753 - val_loss: 0.0070 - val_mse: 6.0914
Epoch 277/1000
0s - loss: 0.0046 - mse: 4.0450 - val_loss: 0.0070 - val_mse: 6.0650
Epoch 278/1000
0s - loss: 0.0046 - mse: 4.0152 - val_loss: 0.0069 - val_mse: 6.0405
Epoch 279/1000
0s - loss: 0.0046 - mse: 3.9855 - val_loss: 0.0069 - val_mse: 6.0127
Epoch 280/1000
0s - loss: 0.0045 - mse: 3.9562 - val_loss: 0.0069 - val_mse: 5.9862
Epoch 281/1000
0s - loss: 0.0045 - mse: 3.9271 - val_loss: 0.0068 - val_mse: 5.9633
Epoch 282/1000
0s - loss: 0.0045 - mse: 3.8989 - val_loss: 0.0068 - val_mse: 5.9351
Epoch 283/1000
0s - loss: 0.0044 - mse: 3.8741 - val_loss: 0.0068 - val_mse: 5.9392
Epoch 284/1000
0s - loss: 0.0044 - mse: 3.8651 - val_loss: 0.0069 - val_mse: 5.9906
Epoch 285/1000

Epoch 00284: reducing learning rate to 0.00489999982528.
0s - loss: 0.0045 - mse: 3.9317 - val_loss: 0.0074 - val_mse: 6.4849
Epoch 286/1000
0s - loss: 0.0050 - mse: 4.3676 - val_loss: 0.0076 - val_mse: 6.6419
Epoch 287/1000
0s - loss: 0.0053 - mse: 4.5842 - val_loss: 0.0068 - val_mse: 5.9248
Epoch 288/1000
0s - loss: 0.0044 - mse: 3.8386 - val_loss: 0.0070 - val_mse: 6.0838
Epoch 289/1000
0s - loss: 0.0046 - mse: 3.9959 - val_loss: 0.0073 - val_mse: 6.3759
Epoch 290/1000
0s - loss: 0.0049 - mse: 4.3048 - val_loss: 0.0067 - val_mse: 5.8603
Epoch 291/1000
0s - loss: 0.0043 - mse: 3.7663 - val_loss: 0.0069 - val_mse: 5.9947
Epoch 292/1000
0s - loss: 0.0045 - mse: 3.9078 - val_loss: 0.0071 - val_mse: 6.1498
Epoch 293/1000
0s - loss: 0.0047 - mse: 4.0698 - val_loss: 0.0066 - val_mse: 5.7527
Epoch 294/1000
0s - loss: 0.0042 - mse: 3.6649 - val_loss: 0.0068 - val_mse: 5.9603
Epoch 295/1000
0s - loss: 0.0044 - mse: 3.8745 - val_loss: 0.0068 - val_mse: 5.9401
Epoch 296/1000
0s - loss: 0.0044 - mse: 3.8498 - val_loss: 0.0065 - val_mse: 5.6931
Epoch 297/1000
0s - loss: 0.0041 - mse: 3.6130 - val_loss: 0.0068 - val_mse: 5.9140
Epoch 298/1000
0s - loss: 0.0044 - mse: 3.8251 - val_loss: 0.0067 - val_mse: 5.8132
Epoch 299/1000

Epoch 00298: reducing learning rate to 0.00343000004068.
0s - loss: 0.0042 - mse: 3.6756 - val_loss: 0.0066 - val_mse: 5.7334
Epoch 300/1000
0s - loss: 0.0041 - mse: 3.5992 - val_loss: 0.0066 - val_mse: 5.7317
Epoch 301/1000
0s - loss: 0.0041 - mse: 3.6070 - val_loss: 0.0066 - val_mse: 5.7135
Epoch 302/1000
0s - loss: 0.0041 - mse: 3.5713 - val_loss: 0.0066 - val_mse: 5.7245
Epoch 303/1000
0s - loss: 0.0041 - mse: 3.5693 - val_loss: 0.0065 - val_mse: 5.6916
Epoch 304/1000
0s - loss: 0.0041 - mse: 3.5444 - val_loss: 0.0065 - val_mse: 5.6687
Epoch 305/1000
0s - loss: 0.0041 - mse: 3.5355 - val_loss: 0.0065 - val_mse: 5.6639
Epoch 306/1000
0s - loss: 0.0040 - mse: 3.5157 - val_loss: 0.0065 - val_mse: 5.6728
Epoch 307/1000
0s - loss: 0.0040 - mse: 3.5045 - val_loss: 0.0065 - val_mse: 5.6549
Epoch 308/1000
0s - loss: 0.0040 - mse: 3.4874 - val_loss: 0.0065 - val_mse: 5.6308
Epoch 309/1000
0s - loss: 0.0040 - mse: 3.4759 - val_loss: 0.0065 - val_mse: 5.6232
Epoch 310/1000
0s - loss: 0.0040 - mse: 3.4590 - val_loss: 0.0065 - val_mse: 5.6317
Epoch 311/1000
0s - loss: 0.0040 - mse: 3.4489 - val_loss: 0.0065 - val_mse: 5.6177
Epoch 312/1000
0s - loss: 0.0039 - mse: 3.4313 - val_loss: 0.0064 - val_mse: 5.6026
Epoch 313/1000

Epoch 00312: reducing learning rate to 0.00240100002848.
0s - loss: 0.0039 - mse: 3.4225 - val_loss: 0.0064 - val_mse: 5.5928
Epoch 314/1000
0s - loss: 0.0039 - mse: 3.4040 - val_loss: 0.0064 - val_mse: 5.5868
Epoch 315/1000
0s - loss: 0.0039 - mse: 3.3882 - val_loss: 0.0064 - val_mse: 5.5927
Epoch 316/1000
0s - loss: 0.0039 - mse: 3.3915 - val_loss: 0.0064 - val_mse: 5.5659
Epoch 317/1000
0s - loss: 0.0039 - mse: 3.3685 - val_loss: 0.0064 - val_mse: 5.5641
Epoch 318/1000
0s - loss: 0.0039 - mse: 3.3703 - val_loss: 0.0064 - val_mse: 5.5560
Epoch 319/1000
0s - loss: 0.0039 - mse: 3.3557 - val_loss: 0.0064 - val_mse: 5.5565
Epoch 320/1000
0s - loss: 0.0038 - mse: 3.3466 - val_loss: 0.0064 - val_mse: 5.5547
Epoch 321/1000
0s - loss: 0.0038 - mse: 3.3424 - val_loss: 0.0064 - val_mse: 5.5342
Epoch 322/1000
0s - loss: 0.0038 - mse: 3.3262 - val_loss: 0.0064 - val_mse: 5.5305
Epoch 323/1000
0s - loss: 0.0038 - mse: 3.3249 - val_loss: 0.0063 - val_mse: 5.5233
Epoch 324/1000
0s - loss: 0.0038 - mse: 3.3102 - val_loss: 0.0063 - val_mse: 5.5269
Epoch 325/1000
0s - loss: 0.0038 - mse: 3.3043 - val_loss: 0.0063 - val_mse: 5.5205
Epoch 326/1000
0s - loss: 0.0038 - mse: 3.2955 - val_loss: 0.0063 - val_mse: 5.5050
Epoch 327/1000

Epoch 00326: reducing learning rate to 0.00168070008513.
0s - loss: 0.0038 - mse: 3.2842 - val_loss: 0.0063 - val_mse: 5.4979
Epoch 328/1000
0s - loss: 0.0038 - mse: 3.2794 - val_loss: 0.0063 - val_mse: 5.4926
Epoch 329/1000
0s - loss: 0.0038 - mse: 3.2697 - val_loss: 0.0063 - val_mse: 5.4941
Epoch 330/1000
0s - loss: 0.0037 - mse: 3.2646 - val_loss: 0.0063 - val_mse: 5.4940
Epoch 331/1000
0s - loss: 0.0037 - mse: 3.2603 - val_loss: 0.0063 - val_mse: 5.4853
Epoch 332/1000
0s - loss: 0.0037 - mse: 3.2516 - val_loss: 0.0063 - val_mse: 5.4783
Epoch 333/1000
0s - loss: 0.0037 - mse: 3.2466 - val_loss: 0.0063 - val_mse: 5.4733
Epoch 334/1000
0s - loss: 0.0037 - mse: 3.2415 - val_loss: 0.0063 - val_mse: 5.4695
Epoch 335/1000
0s - loss: 0.0037 - mse: 3.2336 - val_loss: 0.0063 - val_mse: 5.4700
Epoch 336/1000
0s - loss: 0.0037 - mse: 3.2288 - val_loss: 0.0063 - val_mse: 5.4677
Epoch 337/1000
0s - loss: 0.0037 - mse: 3.2230 - val_loss: 0.0063 - val_mse: 5.4612
Epoch 338/1000
0s - loss: 0.0037 - mse: 3.2157 - val_loss: 0.0063 - val_mse: 5.4561
Epoch 339/1000
0s - loss: 0.0037 - mse: 3.2108 - val_loss: 0.0063 - val_mse: 5.4516
Epoch 340/1000
0s - loss: 0.0037 - mse: 3.2046 - val_loss: 0.0063 - val_mse: 5.4489
Epoch 341/1000

Epoch 00340: reducing learning rate to 0.00117649007589.
0s - loss: 0.0037 - mse: 3.1979 - val_loss: 0.0063 - val_mse: 5.4486
Epoch 342/1000
0s - loss: 0.0037 - mse: 3.1928 - val_loss: 0.0063 - val_mse: 5.4467
Epoch 343/1000
0s - loss: 0.0037 - mse: 3.1883 - val_loss: 0.0063 - val_mse: 5.4432
Epoch 344/1000
0s - loss: 0.0037 - mse: 3.1836 - val_loss: 0.0062 - val_mse: 5.4400
Epoch 345/1000
0s - loss: 0.0037 - mse: 3.1798 - val_loss: 0.0062 - val_mse: 5.4367
Epoch 346/1000
0s - loss: 0.0036 - mse: 3.1758 - val_loss: 0.0062 - val_mse: 5.4335
Epoch 347/1000
0s - loss: 0.0036 - mse: 3.1712 - val_loss: 0.0062 - val_mse: 5.4311
Epoch 348/1000
0s - loss: 0.0036 - mse: 3.1669 - val_loss: 0.0062 - val_mse: 5.4292
Epoch 349/1000
0s - loss: 0.0036 - mse: 3.1631 - val_loss: 0.0062 - val_mse: 5.4268
Epoch 350/1000
0s - loss: 0.0036 - mse: 3.1587 - val_loss: 0.0062 - val_mse: 5.4242
Epoch 351/1000
0s - loss: 0.0036 - mse: 3.1543 - val_loss: 0.0062 - val_mse: 5.4224
Epoch 352/1000
0s - loss: 0.0036 - mse: 3.1503 - val_loss: 0.0062 - val_mse: 5.4212
Epoch 353/1000
0s - loss: 0.0036 - mse: 3.1462 - val_loss: 0.0062 - val_mse: 5.4204
Epoch 354/1000
0s - loss: 0.0036 - mse: 3.1417 - val_loss: 0.0062 - val_mse: 5.4200
Epoch 355/1000

Epoch 00354: reducing learning rate to 0.000823543069419.
0s - loss: 0.0036 - mse: 3.1376 - val_loss: 0.0062 - val_mse: 5.4187
Epoch 356/1000
0s - loss: 0.0036 - mse: 3.1335 - val_loss: 0.0062 - val_mse: 5.4167
Epoch 357/1000
0s - loss: 0.0036 - mse: 3.1305 - val_loss: 0.0062 - val_mse: 5.4144
Epoch 358/1000
0s - loss: 0.0036 - mse: 3.1274 - val_loss: 0.0062 - val_mse: 5.4122
Epoch 359/1000
0s - loss: 0.0036 - mse: 3.1246 - val_loss: 0.0062 - val_mse: 5.4103
Epoch 360/1000
0s - loss: 0.0036 - mse: 3.1217 - val_loss: 0.0062 - val_mse: 5.4087
Epoch 361/1000
0s - loss: 0.0036 - mse: 3.1187 - val_loss: 0.0062 - val_mse: 5.4074
Epoch 362/1000
0s - loss: 0.0036 - mse: 3.1157 - val_loss: 0.0062 - val_mse: 5.4061
Epoch 363/1000
0s - loss: 0.0036 - mse: 3.1128 - val_loss: 0.0062 - val_mse: 5.4045
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_66 (LSTM)               (None, None, 150)         91800     
_________________________________________________________________
time_distributed_63 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 91,951
Trainable params: 91,951
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.8630 - mse: 751.5712 - val_loss: 0.5130 - val_mse: 446.7815
Epoch 2/1000
0s - loss: 0.4781 - mse: 416.3656 - val_loss: 0.3998 - val_mse: 348.1419
Epoch 3/1000
0s - loss: 0.3805 - mse: 331.3315 - val_loss: 0.3704 - val_mse: 322.6012
Epoch 4/1000
0s - loss: 0.3564 - mse: 310.4024 - val_loss: 0.2307 - val_mse: 200.9016
Epoch 5/1000
0s - loss: 0.2203 - mse: 191.8124 - val_loss: 0.2507 - val_mse: 218.3298
Epoch 6/1000
0s - loss: 0.2409 - mse: 209.7416 - val_loss: 0.1624 - val_mse: 141.4271
Epoch 7/1000
0s - loss: 0.1515 - mse: 131.9211 - val_loss: 0.1455 - val_mse: 126.6745
Epoch 8/1000
0s - loss: 0.1361 - mse: 118.5520 - val_loss: 0.1455 - val_mse: 126.7248
Epoch 9/1000
0s - loss: 0.1359 - mse: 118.3692 - val_loss: 0.1394 - val_mse: 121.4077
Epoch 10/1000
0s - loss: 0.1299 - mse: 113.1359 - val_loss: 0.1353 - val_mse: 117.8349
Epoch 11/1000
0s - loss: 0.1245 - mse: 108.3821 - val_loss: 0.1368 - val_mse: 119.1356
Epoch 12/1000
0s - loss: 0.1218 - mse: 106.1045 - val_loss: 0.1359 - val_mse: 118.3055
Epoch 13/1000
0s - loss: 0.1158 - mse: 100.8062 - val_loss: 0.1263 - val_mse: 109.9823
Epoch 14/1000
0s - loss: 0.1046 - mse: 91.0828 - val_loss: 0.1140 - val_mse: 99.3099
Epoch 15/1000
0s - loss: 0.0950 - mse: 82.7512 - val_loss: 0.1058 - val_mse: 92.1564
Epoch 16/1000
0s - loss: 0.0909 - mse: 79.1201 - val_loss: 0.1000 - val_mse: 87.1258
Epoch 17/1000
0s - loss: 0.0887 - mse: 77.2689 - val_loss: 0.0928 - val_mse: 80.8555
Epoch 18/1000
0s - loss: 0.0845 - mse: 73.6098 - val_loss: 0.0844 - val_mse: 73.4777
Epoch 19/1000
0s - loss: 0.0784 - mse: 68.3110 - val_loss: 0.0771 - val_mse: 67.1210
Epoch 20/1000
0s - loss: 0.0726 - mse: 63.2596 - val_loss: 0.0721 - val_mse: 62.7916
Epoch 21/1000
0s - loss: 0.0682 - mse: 59.3904 - val_loss: 0.0688 - val_mse: 59.9564
Epoch 22/1000
0s - loss: 0.0652 - mse: 56.7516 - val_loss: 0.0659 - val_mse: 57.3633
Epoch 23/1000
0s - loss: 0.0613 - mse: 53.4228 - val_loss: 0.0657 - val_mse: 57.2506
Epoch 24/1000
0s - loss: 0.0599 - mse: 52.1836 - val_loss: 0.0617 - val_mse: 53.6987
Epoch 25/1000
0s - loss: 0.0559 - mse: 48.7128 - val_loss: 0.0593 - val_mse: 51.6100
Epoch 26/1000
0s - loss: 0.0534 - mse: 46.5149 - val_loss: 0.0582 - val_mse: 50.6626
Epoch 27/1000
0s - loss: 0.0525 - mse: 45.7007 - val_loss: 0.0563 - val_mse: 49.0643
Epoch 28/1000
0s - loss: 0.0507 - mse: 44.1691 - val_loss: 0.0545 - val_mse: 47.4181
Epoch 29/1000
0s - loss: 0.0491 - mse: 42.7447 - val_loss: 0.0534 - val_mse: 46.4839
Epoch 30/1000
0s - loss: 0.0481 - mse: 41.8919 - val_loss: 0.0515 - val_mse: 44.8623
Epoch 31/1000
0s - loss: 0.0458 - mse: 39.8668 - val_loss: 0.0493 - val_mse: 42.9422
Epoch 32/1000
0s - loss: 0.0441 - mse: 38.4342 - val_loss: 0.0463 - val_mse: 40.2958
Epoch 33/1000
0s - loss: 0.0422 - mse: 36.7609 - val_loss: 0.0444 - val_mse: 38.6655
Epoch 34/1000
0s - loss: 0.0402 - mse: 34.9881 - val_loss: 0.0442 - val_mse: 38.4729
Epoch 35/1000
0s - loss: 0.0392 - mse: 34.1697 - val_loss: 0.0441 - val_mse: 38.4033
Epoch 36/1000
0s - loss: 0.0391 - mse: 34.0197 - val_loss: 0.0424 - val_mse: 36.9087
Epoch 37/1000
0s - loss: 0.0380 - mse: 33.0499 - val_loss: 0.0413 - val_mse: 35.9698
Epoch 38/1000
0s - loss: 0.0373 - mse: 32.5004 - val_loss: 0.0404 - val_mse: 35.1709
Epoch 39/1000
0s - loss: 0.0365 - mse: 31.7811 - val_loss: 0.0396 - val_mse: 34.4672
Epoch 40/1000
0s - loss: 0.0354 - mse: 30.8358 - val_loss: 0.0388 - val_mse: 33.7848
Epoch 41/1000
0s - loss: 0.0343 - mse: 29.8948 - val_loss: 0.0379 - val_mse: 33.0157
Epoch 42/1000
0s - loss: 0.0333 - mse: 29.0378 - val_loss: 0.0367 - val_mse: 31.9662
Epoch 43/1000
0s - loss: 0.0321 - mse: 27.9604 - val_loss: 0.0363 - val_mse: 31.5704
Epoch 44/1000
0s - loss: 0.0317 - mse: 27.5694 - val_loss: 0.0360 - val_mse: 31.3159
Epoch 45/1000
0s - loss: 0.0313 - mse: 27.2160 - val_loss: 0.0357 - val_mse: 31.0750
Epoch 46/1000
0s - loss: 0.0308 - mse: 26.8148 - val_loss: 0.0355 - val_mse: 30.8894
Epoch 47/1000
0s - loss: 0.0305 - mse: 26.5977 - val_loss: 0.0345 - val_mse: 30.0874
Epoch 48/1000
0s - loss: 0.0299 - mse: 26.0113 - val_loss: 0.0333 - val_mse: 28.9657
Epoch 49/1000
0s - loss: 0.0291 - mse: 25.3463 - val_loss: 0.0322 - val_mse: 28.0363
Epoch 50/1000
0s - loss: 0.0285 - mse: 24.8263 - val_loss: 0.0313 - val_mse: 27.2951
Epoch 51/1000
0s - loss: 0.0278 - mse: 24.2528 - val_loss: 0.0309 - val_mse: 26.8816
Epoch 52/1000
0s - loss: 0.0274 - mse: 23.8649 - val_loss: 0.0305 - val_mse: 26.5791
Epoch 53/1000
0s - loss: 0.0271 - mse: 23.6121 - val_loss: 0.0299 - val_mse: 26.0136
Epoch 54/1000
0s - loss: 0.0266 - mse: 23.1924 - val_loss: 0.0294 - val_mse: 25.5686
Epoch 55/1000
0s - loss: 0.0263 - mse: 22.8730 - val_loss: 0.0289 - val_mse: 25.1634
Epoch 56/1000
0s - loss: 0.0258 - mse: 22.4982 - val_loss: 0.0285 - val_mse: 24.8341
Epoch 57/1000
0s - loss: 0.0254 - mse: 22.1050 - val_loss: 0.0283 - val_mse: 24.6190
Epoch 58/1000
0s - loss: 0.0251 - mse: 21.8452 - val_loss: 0.0278 - val_mse: 24.2502
Epoch 59/1000
0s - loss: 0.0247 - mse: 21.5473 - val_loss: 0.0273 - val_mse: 23.7616
Epoch 60/1000
0s - loss: 0.0243 - mse: 21.2030 - val_loss: 0.0268 - val_mse: 23.3624
Epoch 61/1000
0s - loss: 0.0240 - mse: 20.9054 - val_loss: 0.0265 - val_mse: 23.0499
Epoch 62/1000
0s - loss: 0.0236 - mse: 20.5885 - val_loss: 0.0262 - val_mse: 22.8561
Epoch 63/1000
0s - loss: 0.0234 - mse: 20.3582 - val_loss: 0.0260 - val_mse: 22.6032
Epoch 64/1000
0s - loss: 0.0231 - mse: 20.1140 - val_loss: 0.0255 - val_mse: 22.2359
Epoch 65/1000
0s - loss: 0.0227 - mse: 19.8058 - val_loss: 0.0252 - val_mse: 21.9072
Epoch 66/1000
0s - loss: 0.0224 - mse: 19.4952 - val_loss: 0.0249 - val_mse: 21.6480
Epoch 67/1000
0s - loss: 0.0220 - mse: 19.1558 - val_loss: 0.0247 - val_mse: 21.5136
Epoch 68/1000
0s - loss: 0.0217 - mse: 18.8714 - val_loss: 0.0245 - val_mse: 21.3597
Epoch 69/1000
0s - loss: 0.0213 - mse: 18.5920 - val_loss: 0.0242 - val_mse: 21.1137
Epoch 70/1000
0s - loss: 0.0210 - mse: 18.2901 - val_loss: 0.0239 - val_mse: 20.8521
Epoch 71/1000
0s - loss: 0.0207 - mse: 17.9994 - val_loss: 0.0236 - val_mse: 20.5794
Epoch 72/1000
0s - loss: 0.0203 - mse: 17.6925 - val_loss: 0.0233 - val_mse: 20.3116
Epoch 73/1000
0s - loss: 0.0200 - mse: 17.4268 - val_loss: 0.0230 - val_mse: 19.9873
Epoch 74/1000
0s - loss: 0.0197 - mse: 17.1374 - val_loss: 0.0226 - val_mse: 19.7041
Epoch 75/1000
0s - loss: 0.0194 - mse: 16.8576 - val_loss: 0.0224 - val_mse: 19.4932
Epoch 76/1000
0s - loss: 0.0190 - mse: 16.5655 - val_loss: 0.0222 - val_mse: 19.3458
Epoch 77/1000
0s - loss: 0.0187 - mse: 16.3115 - val_loss: 0.0219 - val_mse: 19.1090
Epoch 78/1000
0s - loss: 0.0184 - mse: 16.0324 - val_loss: 0.0216 - val_mse: 18.8344
Epoch 79/1000
0s - loss: 0.0181 - mse: 15.7477 - val_loss: 0.0214 - val_mse: 18.6606
Epoch 80/1000
0s - loss: 0.0178 - mse: 15.5053 - val_loss: 0.0220 - val_mse: 19.1249
Epoch 81/1000
0s - loss: 0.0183 - mse: 15.9142 - val_loss: 0.0275 - val_mse: 23.9812
Epoch 82/1000
0s - loss: 0.0244 - mse: 21.2131 - val_loss: 0.0388 - val_mse: 33.7950
Epoch 83/1000
0s - loss: 0.0366 - mse: 31.8440 - val_loss: 0.0301 - val_mse: 26.1889
Epoch 84/1000

Epoch 00083: reducing learning rate to 0.00699999984354.
4s - loss: 0.0278 - mse: 24.2076 - val_loss: 0.0300 - val_mse: 26.0829
Epoch 85/1000
0s - loss: 0.0284 - mse: 24.7561 - val_loss: 0.0216 - val_mse: 18.7935
Epoch 86/1000
0s - loss: 0.0197 - mse: 17.1964 - val_loss: 0.0256 - val_mse: 22.3102
Epoch 87/1000
0s - loss: 0.0241 - mse: 20.9736 - val_loss: 0.0265 - val_mse: 23.0831
Epoch 88/1000
0s - loss: 0.0253 - mse: 22.0335 - val_loss: 0.0219 - val_mse: 19.0528
Epoch 89/1000
0s - loss: 0.0201 - mse: 17.4831 - val_loss: 0.0227 - val_mse: 19.7479
Epoch 90/1000
0s - loss: 0.0200 - mse: 17.4587 - val_loss: 0.0250 - val_mse: 21.7289
Epoch 91/1000
0s - loss: 0.0220 - mse: 19.1323 - val_loss: 0.0236 - val_mse: 20.5764
Epoch 92/1000
0s - loss: 0.0206 - mse: 17.9774 - val_loss: 0.0218 - val_mse: 19.0136
Epoch 93/1000
0s - loss: 0.0189 - mse: 16.4719 - val_loss: 0.0220 - val_mse: 19.1784
Epoch 94/1000
0s - loss: 0.0192 - mse: 16.7359 - val_loss: 0.0219 - val_mse: 19.0499
Epoch 95/1000
0s - loss: 0.0192 - mse: 16.6781 - val_loss: 0.0215 - val_mse: 18.7066
Epoch 96/1000
0s - loss: 0.0186 - mse: 16.2134 - val_loss: 0.0212 - val_mse: 18.4951
Epoch 97/1000
0s - loss: 0.0183 - mse: 15.9090 - val_loss: 0.0209 - val_mse: 18.1731
Epoch 98/1000
0s - loss: 0.0180 - mse: 15.6788 - val_loss: 0.0205 - val_mse: 17.8761
Epoch 99/1000
0s - loss: 0.0178 - mse: 15.5376 - val_loss: 0.0202 - val_mse: 17.6114
Epoch 100/1000
0s - loss: 0.0177 - mse: 15.3714 - val_loss: 0.0198 - val_mse: 17.2172
Epoch 101/1000
0s - loss: 0.0172 - mse: 14.9763 - val_loss: 0.0195 - val_mse: 16.9672
Epoch 102/1000
0s - loss: 0.0168 - mse: 14.6056 - val_loss: 0.0196 - val_mse: 17.0674
Epoch 103/1000
0s - loss: 0.0167 - mse: 14.5599 - val_loss: 0.0194 - val_mse: 16.8739
Epoch 104/1000
0s - loss: 0.0165 - mse: 14.3652 - val_loss: 0.0188 - val_mse: 16.3411
Epoch 105/1000
0s - loss: 0.0160 - mse: 13.9299 - val_loss: 0.0186 - val_mse: 16.2109
Epoch 106/1000
0s - loss: 0.0158 - mse: 13.7992 - val_loss: 0.0188 - val_mse: 16.3828
Epoch 107/1000
0s - loss: 0.0159 - mse: 13.8681 - val_loss: 0.0185 - val_mse: 16.1143
Epoch 108/1000
0s - loss: 0.0155 - mse: 13.5407 - val_loss: 0.0180 - val_mse: 15.6874
Epoch 109/1000
0s - loss: 0.0150 - mse: 13.0663 - val_loss: 0.0182 - val_mse: 15.8283
Epoch 110/1000
0s - loss: 0.0150 - mse: 13.0624 - val_loss: 0.0184 - val_mse: 16.0155
Epoch 111/1000
0s - loss: 0.0151 - mse: 13.1287 - val_loss: 0.0179 - val_mse: 15.6176
Epoch 112/1000
0s - loss: 0.0147 - mse: 12.7586 - val_loss: 0.0175 - val_mse: 15.2642
Epoch 113/1000
0s - loss: 0.0143 - mse: 12.4542 - val_loss: 0.0177 - val_mse: 15.3857
Epoch 114/1000
0s - loss: 0.0144 - mse: 12.5228 - val_loss: 0.0177 - val_mse: 15.4310
Epoch 115/1000
0s - loss: 0.0143 - mse: 12.4849 - val_loss: 0.0174 - val_mse: 15.1398
Epoch 116/1000
0s - loss: 0.0140 - mse: 12.1538 - val_loss: 0.0172 - val_mse: 14.9733
Epoch 117/1000
0s - loss: 0.0137 - mse: 11.9408 - val_loss: 0.0173 - val_mse: 15.0426
Epoch 118/1000
0s - loss: 0.0137 - mse: 11.9503 - val_loss: 0.0171 - val_mse: 14.9291
Epoch 119/1000
0s - loss: 0.0136 - mse: 11.8430 - val_loss: 0.0168 - val_mse: 14.6219
Epoch 120/1000
0s - loss: 0.0133 - mse: 11.6154 - val_loss: 0.0166 - val_mse: 14.4297
Epoch 121/1000
0s - loss: 0.0132 - mse: 11.5020 - val_loss: 0.0164 - val_mse: 14.3171
Epoch 122/1000
0s - loss: 0.0131 - mse: 11.4373 - val_loss: 0.0163 - val_mse: 14.1530
Epoch 123/1000
0s - loss: 0.0130 - mse: 11.2910 - val_loss: 0.0161 - val_mse: 14.0274
Epoch 124/1000
0s - loss: 0.0128 - mse: 11.1380 - val_loss: 0.0161 - val_mse: 13.9922
Epoch 125/1000
0s - loss: 0.0127 - mse: 11.0440 - val_loss: 0.0160 - val_mse: 13.9166
Epoch 126/1000
0s - loss: 0.0126 - mse: 10.9417 - val_loss: 0.0158 - val_mse: 13.7476
Epoch 127/1000
0s - loss: 0.0124 - mse: 10.8138 - val_loss: 0.0156 - val_mse: 13.5619
Epoch 128/1000
0s - loss: 0.0123 - mse: 10.6984 - val_loss: 0.0154 - val_mse: 13.4009
Epoch 129/1000
0s - loss: 0.0122 - mse: 10.5849 - val_loss: 0.0153 - val_mse: 13.2913
Epoch 130/1000
0s - loss: 0.0120 - mse: 10.4790 - val_loss: 0.0152 - val_mse: 13.2264
Epoch 131/1000
0s - loss: 0.0119 - mse: 10.3835 - val_loss: 0.0151 - val_mse: 13.1489
Epoch 132/1000
0s - loss: 0.0118 - mse: 10.2709 - val_loss: 0.0150 - val_mse: 13.0490
Epoch 133/1000
0s - loss: 0.0117 - mse: 10.1558 - val_loss: 0.0149 - val_mse: 12.9536
Epoch 134/1000
0s - loss: 0.0116 - mse: 10.0711 - val_loss: 0.0147 - val_mse: 12.8277
Epoch 135/1000
0s - loss: 0.0115 - mse: 9.9770 - val_loss: 0.0145 - val_mse: 12.6664
Epoch 136/1000
0s - loss: 0.0113 - mse: 9.8580 - val_loss: 0.0144 - val_mse: 12.5356
Epoch 137/1000
0s - loss: 0.0112 - mse: 9.7660 - val_loss: 0.0143 - val_mse: 12.4262
Epoch 138/1000
0s - loss: 0.0111 - mse: 9.6873 - val_loss: 0.0141 - val_mse: 12.2965
Epoch 139/1000
0s - loss: 0.0110 - mse: 9.5797 - val_loss: 0.0140 - val_mse: 12.1871
Epoch 140/1000
0s - loss: 0.0109 - mse: 9.4783 - val_loss: 0.0139 - val_mse: 12.1185
Epoch 141/1000
0s - loss: 0.0108 - mse: 9.4015 - val_loss: 0.0138 - val_mse: 12.0342
Epoch 142/1000
0s - loss: 0.0107 - mse: 9.3070 - val_loss: 0.0137 - val_mse: 11.9314
Epoch 143/1000
0s - loss: 0.0106 - mse: 9.2070 - val_loss: 0.0136 - val_mse: 11.8314
Epoch 144/1000
0s - loss: 0.0105 - mse: 9.1285 - val_loss: 0.0134 - val_mse: 11.7101
Epoch 145/1000
0s - loss: 0.0104 - mse: 9.0428 - val_loss: 0.0133 - val_mse: 11.5848
Epoch 146/1000
0s - loss: 0.0103 - mse: 8.9483 - val_loss: 0.0132 - val_mse: 11.5007
Epoch 147/1000
0s - loss: 0.0102 - mse: 8.8699 - val_loss: 0.0131 - val_mse: 11.4380
Epoch 148/1000
0s - loss: 0.0101 - mse: 8.7933 - val_loss: 0.0130 - val_mse: 11.3632
Epoch 149/1000
0s - loss: 0.0100 - mse: 8.7092 - val_loss: 0.0129 - val_mse: 11.2710
Epoch 150/1000
0s - loss: 0.0099 - mse: 8.6308 - val_loss: 0.0128 - val_mse: 11.1610
Epoch 151/1000
0s - loss: 0.0098 - mse: 8.5542 - val_loss: 0.0127 - val_mse: 11.0547
Epoch 152/1000
0s - loss: 0.0097 - mse: 8.4769 - val_loss: 0.0126 - val_mse: 10.9785
Epoch 153/1000
0s - loss: 0.0096 - mse: 8.4020 - val_loss: 0.0125 - val_mse: 10.9281
Epoch 154/1000
0s - loss: 0.0096 - mse: 8.3276 - val_loss: 0.0125 - val_mse: 10.8753
Epoch 155/1000
0s - loss: 0.0095 - mse: 8.2570 - val_loss: 0.0124 - val_mse: 10.7896
Epoch 156/1000
0s - loss: 0.0094 - mse: 8.1862 - val_loss: 0.0123 - val_mse: 10.6790
Epoch 157/1000
0s - loss: 0.0093 - mse: 8.1146 - val_loss: 0.0122 - val_mse: 10.5841
Epoch 158/1000
0s - loss: 0.0092 - mse: 8.0481 - val_loss: 0.0121 - val_mse: 10.5243
Epoch 159/1000
0s - loss: 0.0092 - mse: 7.9797 - val_loss: 0.0120 - val_mse: 10.4922
Epoch 160/1000
0s - loss: 0.0091 - mse: 7.9105 - val_loss: 0.0120 - val_mse: 10.4573
Epoch 161/1000
0s - loss: 0.0090 - mse: 7.8458 - val_loss: 0.0119 - val_mse: 10.3857
Epoch 162/1000
0s - loss: 0.0089 - mse: 7.7788 - val_loss: 0.0118 - val_mse: 10.2894
Epoch 163/1000
0s - loss: 0.0089 - mse: 7.7122 - val_loss: 0.0117 - val_mse: 10.2041
Epoch 164/1000
0s - loss: 0.0088 - mse: 7.6488 - val_loss: 0.0116 - val_mse: 10.1439
Epoch 165/1000
0s - loss: 0.0087 - mse: 7.5834 - val_loss: 0.0116 - val_mse: 10.1003
Epoch 166/1000
0s - loss: 0.0086 - mse: 7.5191 - val_loss: 0.0115 - val_mse: 10.0454
Epoch 167/1000
0s - loss: 0.0086 - mse: 7.4555 - val_loss: 0.0115 - val_mse: 9.9723
Epoch 168/1000
0s - loss: 0.0085 - mse: 7.3920 - val_loss: 0.0114 - val_mse: 9.8948
Epoch 169/1000
0s - loss: 0.0084 - mse: 7.3284 - val_loss: 0.0113 - val_mse: 9.8300
Epoch 170/1000
0s - loss: 0.0083 - mse: 7.2650 - val_loss: 0.0112 - val_mse: 9.7797
Epoch 171/1000
0s - loss: 0.0083 - mse: 7.2033 - val_loss: 0.0112 - val_mse: 9.7310
Epoch 172/1000
0s - loss: 0.0082 - mse: 7.1403 - val_loss: 0.0111 - val_mse: 9.6804
Epoch 173/1000
0s - loss: 0.0081 - mse: 7.0784 - val_loss: 0.0111 - val_mse: 9.6266
Epoch 174/1000
0s - loss: 0.0081 - mse: 7.0167 - val_loss: 0.0110 - val_mse: 9.5698
Epoch 175/1000
0s - loss: 0.0080 - mse: 6.9548 - val_loss: 0.0109 - val_mse: 9.5101
Epoch 176/1000
0s - loss: 0.0079 - mse: 6.8943 - val_loss: 0.0109 - val_mse: 9.4508
Epoch 177/1000
0s - loss: 0.0078 - mse: 6.8334 - val_loss: 0.0108 - val_mse: 9.4041
Epoch 178/1000
0s - loss: 0.0078 - mse: 6.7731 - val_loss: 0.0108 - val_mse: 9.3687
Epoch 179/1000
0s - loss: 0.0077 - mse: 6.7128 - val_loss: 0.0107 - val_mse: 9.3308
Epoch 180/1000
0s - loss: 0.0076 - mse: 6.6530 - val_loss: 0.0107 - val_mse: 9.2795
Epoch 181/1000
0s - loss: 0.0076 - mse: 6.5932 - val_loss: 0.0106 - val_mse: 9.2231
Epoch 182/1000
0s - loss: 0.0075 - mse: 6.5339 - val_loss: 0.0105 - val_mse: 9.1735
Epoch 183/1000
0s - loss: 0.0074 - mse: 6.4748 - val_loss: 0.0105 - val_mse: 9.1303
Epoch 184/1000
0s - loss: 0.0074 - mse: 6.4164 - val_loss: 0.0104 - val_mse: 9.0864
Epoch 185/1000
0s - loss: 0.0073 - mse: 6.3581 - val_loss: 0.0104 - val_mse: 9.0425
Epoch 186/1000
0s - loss: 0.0072 - mse: 6.3003 - val_loss: 0.0103 - val_mse: 9.0002
Epoch 187/1000
0s - loss: 0.0072 - mse: 6.2421 - val_loss: 0.0103 - val_mse: 8.9573
Epoch 188/1000
0s - loss: 0.0071 - mse: 6.1847 - val_loss: 0.0102 - val_mse: 8.9107
Epoch 189/1000
0s - loss: 0.0070 - mse: 6.1269 - val_loss: 0.0102 - val_mse: 8.8644
Epoch 190/1000
0s - loss: 0.0070 - mse: 6.0697 - val_loss: 0.0101 - val_mse: 8.8168
Epoch 191/1000
0s - loss: 0.0069 - mse: 6.0124 - val_loss: 0.0101 - val_mse: 8.7584
Epoch 192/1000
0s - loss: 0.0068 - mse: 5.9551 - val_loss: 0.0100 - val_mse: 8.6959
Epoch 193/1000
0s - loss: 0.0068 - mse: 5.8975 - val_loss: 0.0099 - val_mse: 8.6429
Epoch 194/1000
0s - loss: 0.0067 - mse: 5.8402 - val_loss: 0.0099 - val_mse: 8.5936
Epoch 195/1000
0s - loss: 0.0066 - mse: 5.7835 - val_loss: 0.0098 - val_mse: 8.5338
Epoch 196/1000
0s - loss: 0.0066 - mse: 5.7268 - val_loss: 0.0097 - val_mse: 8.4713
Epoch 197/1000
0s - loss: 0.0065 - mse: 5.6704 - val_loss: 0.0097 - val_mse: 8.4149
Epoch 198/1000
0s - loss: 0.0064 - mse: 5.6142 - val_loss: 0.0096 - val_mse: 8.3591
Epoch 199/1000
0s - loss: 0.0064 - mse: 5.5581 - val_loss: 0.0095 - val_mse: 8.3026
Epoch 200/1000
0s - loss: 0.0063 - mse: 5.5021 - val_loss: 0.0095 - val_mse: 8.2515
Epoch 201/1000
0s - loss: 0.0063 - mse: 5.4462 - val_loss: 0.0094 - val_mse: 8.2029
Epoch 202/1000
0s - loss: 0.0062 - mse: 5.3907 - val_loss: 0.0094 - val_mse: 8.1507
Epoch 203/1000
0s - loss: 0.0061 - mse: 5.3354 - val_loss: 0.0093 - val_mse: 8.1064
Epoch 204/1000
0s - loss: 0.0061 - mse: 5.2803 - val_loss: 0.0093 - val_mse: 8.0600
Epoch 205/1000
0s - loss: 0.0060 - mse: 5.2250 - val_loss: 0.0092 - val_mse: 8.0117
Epoch 206/1000
0s - loss: 0.0059 - mse: 5.1696 - val_loss: 0.0091 - val_mse: 7.9585
Epoch 207/1000
0s - loss: 0.0059 - mse: 5.1146 - val_loss: 0.0091 - val_mse: 7.9134
Epoch 208/1000
0s - loss: 0.0058 - mse: 5.0594 - val_loss: 0.0090 - val_mse: 7.8684
Epoch 209/1000
0s - loss: 0.0057 - mse: 5.0037 - val_loss: 0.0090 - val_mse: 7.8028
Epoch 210/1000
0s - loss: 0.0057 - mse: 4.9478 - val_loss: 0.0089 - val_mse: 7.7491
Epoch 211/1000
0s - loss: 0.0056 - mse: 4.8926 - val_loss: 0.0088 - val_mse: 7.6826
Epoch 212/1000
0s - loss: 0.0056 - mse: 4.8377 - val_loss: 0.0088 - val_mse: 7.6443
Epoch 213/1000
0s - loss: 0.0055 - mse: 4.7837 - val_loss: 0.0087 - val_mse: 7.5668
Epoch 214/1000
0s - loss: 0.0054 - mse: 4.7323 - val_loss: 0.0087 - val_mse: 7.5712
Epoch 215/1000
0s - loss: 0.0054 - mse: 4.6932 - val_loss: 0.0086 - val_mse: 7.5032
Epoch 216/1000
0s - loss: 0.0054 - mse: 4.7009 - val_loss: 0.0091 - val_mse: 7.8928
Epoch 217/1000
0s - loss: 0.0056 - mse: 4.9058 - val_loss: 0.0097 - val_mse: 8.4899
Epoch 218/1000
0s - loss: 0.0067 - mse: 5.8228 - val_loss: 0.0130 - val_mse: 11.3049
Epoch 219/1000
0s - loss: 0.0091 - mse: 7.9548 - val_loss: 0.0121 - val_mse: 10.5048
Epoch 220/1000

Epoch 00219: reducing learning rate to 0.00489999982528.
0s - loss: 0.0094 - mse: 8.1836 - val_loss: 0.0087 - val_mse: 7.5938
Epoch 221/1000
0s - loss: 0.0058 - mse: 5.0172 - val_loss: 0.0096 - val_mse: 8.3276
Epoch 222/1000
0s - loss: 0.0064 - mse: 5.5540 - val_loss: 0.0084 - val_mse: 7.2858
Epoch 223/1000
0s - loss: 0.0055 - mse: 4.7783 - val_loss: 0.0089 - val_mse: 7.7291
Epoch 224/1000
0s - loss: 0.0062 - mse: 5.3895 - val_loss: 0.0083 - val_mse: 7.2135
Epoch 225/1000
0s - loss: 0.0053 - mse: 4.6005 - val_loss: 0.0093 - val_mse: 8.0700
Epoch 226/1000
0s - loss: 0.0060 - mse: 5.1946 - val_loss: 0.0084 - val_mse: 7.3364
Epoch 227/1000
0s - loss: 0.0052 - mse: 4.5375 - val_loss: 0.0084 - val_mse: 7.3463
Epoch 228/1000
0s - loss: 0.0056 - mse: 4.8728 - val_loss: 0.0080 - val_mse: 7.0073
Epoch 229/1000
0s - loss: 0.0052 - mse: 4.5583 - val_loss: 0.0083 - val_mse: 7.2126
Epoch 230/1000
0s - loss: 0.0053 - mse: 4.5914 - val_loss: 0.0084 - val_mse: 7.3033
Epoch 231/1000
0s - loss: 0.0053 - mse: 4.5807 - val_loss: 0.0081 - val_mse: 7.0362
Epoch 232/1000
0s - loss: 0.0051 - mse: 4.4029 - val_loss: 0.0082 - val_mse: 7.0991
Epoch 233/1000
0s - loss: 0.0052 - mse: 4.5363 - val_loss: 0.0080 - val_mse: 6.9969
Epoch 234/1000

Epoch 00233: reducing learning rate to 0.00343000004068.
0s - loss: 0.0049 - mse: 4.3011 - val_loss: 0.0083 - val_mse: 7.2482
Epoch 235/1000
0s - loss: 0.0051 - mse: 4.4144 - val_loss: 0.0081 - val_mse: 7.0405
Epoch 236/1000
0s - loss: 0.0049 - mse: 4.2346 - val_loss: 0.0079 - val_mse: 6.9214
Epoch 237/1000
0s - loss: 0.0049 - mse: 4.2282 - val_loss: 0.0079 - val_mse: 6.8987
Epoch 238/1000
0s - loss: 0.0049 - mse: 4.2638 - val_loss: 0.0078 - val_mse: 6.8246
Epoch 239/1000
0s - loss: 0.0047 - mse: 4.1318 - val_loss: 0.0080 - val_mse: 6.9543
Epoch 240/1000
0s - loss: 0.0048 - mse: 4.1690 - val_loss: 0.0080 - val_mse: 6.9385
Epoch 241/1000
0s - loss: 0.0047 - mse: 4.1262 - val_loss: 0.0078 - val_mse: 6.8010
Epoch 242/1000
0s - loss: 0.0047 - mse: 4.0547 - val_loss: 0.0077 - val_mse: 6.7447
Epoch 243/1000
0s - loss: 0.0047 - mse: 4.0819 - val_loss: 0.0077 - val_mse: 6.6781
Epoch 244/1000
0s - loss: 0.0046 - mse: 4.0176 - val_loss: 0.0077 - val_mse: 6.7290
Epoch 245/1000
0s - loss: 0.0046 - mse: 3.9938 - val_loss: 0.0078 - val_mse: 6.7929
Epoch 246/1000
0s - loss: 0.0046 - mse: 3.9876 - val_loss: 0.0077 - val_mse: 6.7219
Epoch 247/1000
0s - loss: 0.0045 - mse: 3.9268 - val_loss: 0.0076 - val_mse: 6.6338
Epoch 248/1000
0s - loss: 0.0045 - mse: 3.9215 - val_loss: 0.0075 - val_mse: 6.5398
Epoch 249/1000
0s - loss: 0.0045 - mse: 3.8896 - val_loss: 0.0075 - val_mse: 6.5253
Epoch 250/1000
0s - loss: 0.0044 - mse: 3.8552 - val_loss: 0.0076 - val_mse: 6.5925
Epoch 251/1000
0s - loss: 0.0044 - mse: 3.8467 - val_loss: 0.0076 - val_mse: 6.5971
Epoch 252/1000
0s - loss: 0.0044 - mse: 3.8038 - val_loss: 0.0075 - val_mse: 6.5583
Epoch 253/1000

Epoch 00252: reducing learning rate to 0.00240100002848.
0s - loss: 0.0044 - mse: 3.7914 - val_loss: 0.0074 - val_mse: 6.4779
Epoch 254/1000
0s - loss: 0.0043 - mse: 3.7646 - val_loss: 0.0074 - val_mse: 6.4364
Epoch 255/1000
0s - loss: 0.0043 - mse: 3.7351 - val_loss: 0.0074 - val_mse: 6.4443
Epoch 256/1000
0s - loss: 0.0043 - mse: 3.7269 - val_loss: 0.0074 - val_mse: 6.4547
Epoch 257/1000
0s - loss: 0.0043 - mse: 3.7122 - val_loss: 0.0074 - val_mse: 6.4372
Epoch 258/1000
0s - loss: 0.0042 - mse: 3.6851 - val_loss: 0.0074 - val_mse: 6.4103
Epoch 259/1000
0s - loss: 0.0042 - mse: 3.6747 - val_loss: 0.0073 - val_mse: 6.3705
Epoch 260/1000
0s - loss: 0.0042 - mse: 3.6606 - val_loss: 0.0073 - val_mse: 6.3330
Epoch 261/1000
0s - loss: 0.0042 - mse: 3.6357 - val_loss: 0.0073 - val_mse: 6.3298
Epoch 262/1000
0s - loss: 0.0042 - mse: 3.6236 - val_loss: 0.0073 - val_mse: 6.3376
Epoch 263/1000
0s - loss: 0.0041 - mse: 3.6096 - val_loss: 0.0073 - val_mse: 6.3315
Epoch 264/1000
0s - loss: 0.0041 - mse: 3.5861 - val_loss: 0.0073 - val_mse: 6.3183
Epoch 265/1000
0s - loss: 0.0041 - mse: 3.5735 - val_loss: 0.0072 - val_mse: 6.2910
Epoch 266/1000
0s - loss: 0.0041 - mse: 3.5597 - val_loss: 0.0072 - val_mse: 6.2575
Epoch 267/1000
0s - loss: 0.0041 - mse: 3.5376 - val_loss: 0.0072 - val_mse: 6.2428
Epoch 268/1000
0s - loss: 0.0040 - mse: 3.5239 - val_loss: 0.0072 - val_mse: 6.2338
Epoch 269/1000
0s - loss: 0.0040 - mse: 3.5092 - val_loss: 0.0071 - val_mse: 6.2159
Epoch 270/1000
0s - loss: 0.0040 - mse: 3.4882 - val_loss: 0.0071 - val_mse: 6.1947
Epoch 271/1000
0s - loss: 0.0040 - mse: 3.4741 - val_loss: 0.0071 - val_mse: 6.1652
Epoch 272/1000
0s - loss: 0.0040 - mse: 3.4586 - val_loss: 0.0070 - val_mse: 6.1344
Epoch 273/1000
0s - loss: 0.0039 - mse: 3.4387 - val_loss: 0.0070 - val_mse: 6.1200
Epoch 274/1000
0s - loss: 0.0039 - mse: 3.4242 - val_loss: 0.0070 - val_mse: 6.1119
Epoch 275/1000
0s - loss: 0.0039 - mse: 3.4078 - val_loss: 0.0070 - val_mse: 6.0998
Epoch 276/1000
0s - loss: 0.0039 - mse: 3.3893 - val_loss: 0.0070 - val_mse: 6.0828
Epoch 277/1000

Epoch 00276: reducing learning rate to 0.00168070008513.
0s - loss: 0.0039 - mse: 3.3750 - val_loss: 0.0070 - val_mse: 6.0571
Epoch 278/1000
0s - loss: 0.0039 - mse: 3.3585 - val_loss: 0.0069 - val_mse: 6.0384
Epoch 279/1000
0s - loss: 0.0038 - mse: 3.3456 - val_loss: 0.0069 - val_mse: 6.0247
Epoch 280/1000
0s - loss: 0.0038 - mse: 3.3347 - val_loss: 0.0069 - val_mse: 6.0143
Epoch 281/1000
0s - loss: 0.0038 - mse: 3.3239 - val_loss: 0.0069 - val_mse: 6.0025
Epoch 282/1000
0s - loss: 0.0038 - mse: 3.3115 - val_loss: 0.0069 - val_mse: 5.9888
Epoch 283/1000
0s - loss: 0.0038 - mse: 3.2996 - val_loss: 0.0069 - val_mse: 5.9741
Epoch 284/1000
0s - loss: 0.0038 - mse: 3.2888 - val_loss: 0.0068 - val_mse: 5.9585
Epoch 285/1000
0s - loss: 0.0038 - mse: 3.2772 - val_loss: 0.0068 - val_mse: 5.9449
Epoch 286/1000
0s - loss: 0.0037 - mse: 3.2649 - val_loss: 0.0068 - val_mse: 5.9353
Epoch 287/1000
0s - loss: 0.0037 - mse: 3.2540 - val_loss: 0.0068 - val_mse: 5.9277
Epoch 288/1000
0s - loss: 0.0037 - mse: 3.2431 - val_loss: 0.0068 - val_mse: 5.9183
Epoch 289/1000
0s - loss: 0.0037 - mse: 3.2314 - val_loss: 0.0068 - val_mse: 5.9064
Epoch 290/1000
0s - loss: 0.0037 - mse: 3.2201 - val_loss: 0.0068 - val_mse: 5.8926
Epoch 291/1000

Epoch 00290: reducing learning rate to 0.00117649007589.
0s - loss: 0.0037 - mse: 3.2093 - val_loss: 0.0067 - val_mse: 5.8773
Epoch 292/1000
0s - loss: 0.0037 - mse: 3.1978 - val_loss: 0.0067 - val_mse: 5.8677
Epoch 293/1000
0s - loss: 0.0037 - mse: 3.1896 - val_loss: 0.0067 - val_mse: 5.8599
Epoch 294/1000
0s - loss: 0.0037 - mse: 3.1818 - val_loss: 0.0067 - val_mse: 5.8536
Epoch 295/1000
0s - loss: 0.0036 - mse: 3.1740 - val_loss: 0.0067 - val_mse: 5.8472
Epoch 296/1000
0s - loss: 0.0036 - mse: 3.1661 - val_loss: 0.0067 - val_mse: 5.8397
Epoch 297/1000
0s - loss: 0.0036 - mse: 3.1580 - val_loss: 0.0067 - val_mse: 5.8310
Epoch 298/1000
0s - loss: 0.0036 - mse: 3.1500 - val_loss: 0.0067 - val_mse: 5.8215
Epoch 299/1000
0s - loss: 0.0036 - mse: 3.1422 - val_loss: 0.0067 - val_mse: 5.8118
Epoch 300/1000
0s - loss: 0.0036 - mse: 3.1341 - val_loss: 0.0067 - val_mse: 5.8026
Epoch 301/1000
0s - loss: 0.0036 - mse: 3.1260 - val_loss: 0.0067 - val_mse: 5.7945
Epoch 302/1000
0s - loss: 0.0036 - mse: 3.1179 - val_loss: 0.0066 - val_mse: 5.7872
Epoch 303/1000
0s - loss: 0.0036 - mse: 3.1100 - val_loss: 0.0066 - val_mse: 5.7804
Epoch 304/1000
0s - loss: 0.0036 - mse: 3.1019 - val_loss: 0.0066 - val_mse: 5.7734
Epoch 305/1000
0s - loss: 0.0036 - mse: 3.0938 - val_loss: 0.0066 - val_mse: 5.7652
Epoch 306/1000
0s - loss: 0.0035 - mse: 3.0858 - val_loss: 0.0066 - val_mse: 5.7561
Epoch 307/1000
0s - loss: 0.0035 - mse: 3.0777 - val_loss: 0.0066 - val_mse: 5.7467
Epoch 308/1000
0s - loss: 0.0035 - mse: 3.0696 - val_loss: 0.0066 - val_mse: 5.7381
Epoch 309/1000
0s - loss: 0.0035 - mse: 3.0614 - val_loss: 0.0066 - val_mse: 5.7307
Epoch 310/1000

Epoch 00309: reducing learning rate to 0.000823543069419.
0s - loss: 0.0035 - mse: 3.0533 - val_loss: 0.0066 - val_mse: 5.7235
Epoch 311/1000
0s - loss: 0.0035 - mse: 3.0452 - val_loss: 0.0066 - val_mse: 5.7181
Epoch 312/1000
0s - loss: 0.0035 - mse: 3.0394 - val_loss: 0.0066 - val_mse: 5.7121
Epoch 313/1000
0s - loss: 0.0035 - mse: 3.0336 - val_loss: 0.0066 - val_mse: 5.7059
Epoch 314/1000
0s - loss: 0.0035 - mse: 3.0279 - val_loss: 0.0065 - val_mse: 5.6998
Epoch 315/1000
0s - loss: 0.0035 - mse: 3.0222 - val_loss: 0.0065 - val_mse: 5.6939
Epoch 316/1000
0s - loss: 0.0035 - mse: 3.0164 - val_loss: 0.0065 - val_mse: 5.6885
Epoch 317/1000
0s - loss: 0.0035 - mse: 3.0107 - val_loss: 0.0065 - val_mse: 5.6838
Epoch 318/1000
0s - loss: 0.0035 - mse: 3.0049 - val_loss: 0.0065 - val_mse: 5.6791
Epoch 319/1000
0s - loss: 0.0034 - mse: 2.9992 - val_loss: 0.0065 - val_mse: 5.6740
Epoch 320/1000
0s - loss: 0.0034 - mse: 2.9934 - val_loss: 0.0065 - val_mse: 5.6685
Epoch 321/1000
0s - loss: 0.0034 - mse: 2.9877 - val_loss: 0.0065 - val_mse: 5.6628
Epoch 322/1000
0s - loss: 0.0034 - mse: 2.9820 - val_loss: 0.0065 - val_mse: 5.6572
Epoch 323/1000
0s - loss: 0.0034 - mse: 2.9762 - val_loss: 0.0065 - val_mse: 5.6519
Epoch 324/1000

Epoch 00323: reducing learning rate to 0.000576480140444.
0s - loss: 0.0034 - mse: 2.9705 - val_loss: 0.0065 - val_mse: 5.6468
Epoch 325/1000
0s - loss: 0.0034 - mse: 2.9648 - val_loss: 0.0065 - val_mse: 5.6430
Epoch 326/1000
0s - loss: 0.0034 - mse: 2.9608 - val_loss: 0.0065 - val_mse: 5.6393
Epoch 327/1000
0s - loss: 0.0034 - mse: 2.9568 - val_loss: 0.0065 - val_mse: 5.6359
Epoch 328/1000
0s - loss: 0.0034 - mse: 2.9528 - val_loss: 0.0065 - val_mse: 5.6327
Epoch 329/1000
0s - loss: 0.0034 - mse: 2.9488 - val_loss: 0.0065 - val_mse: 5.6294
Epoch 330/1000
0s - loss: 0.0034 - mse: 2.9448 - val_loss: 0.0065 - val_mse: 5.6263
Epoch 331/1000
0s - loss: 0.0034 - mse: 2.9408 - val_loss: 0.0065 - val_mse: 5.6228
Epoch 332/1000
0s - loss: 0.0034 - mse: 2.9369 - val_loss: 0.0065 - val_mse: 5.6191
Epoch 333/1000
0s - loss: 0.0034 - mse: 2.9329 - val_loss: 0.0064 - val_mse: 5.6152
Epoch 334/1000
0s - loss: 0.0034 - mse: 2.9289 - val_loss: 0.0064 - val_mse: 5.6114
Epoch 335/1000
0s - loss: 0.0034 - mse: 2.9249 - val_loss: 0.0064 - val_mse: 5.6076
Epoch 336/1000
0s - loss: 0.0034 - mse: 2.9210 - val_loss: 0.0064 - val_mse: 5.6037
Epoch 337/1000
0s - loss: 0.0033 - mse: 2.9170 - val_loss: 0.0064 - val_mse: 5.5996
Epoch 338/1000

Epoch 00337: reducing learning rate to 0.000403536082013.
0s - loss: 0.0033 - mse: 2.9130 - val_loss: 0.0064 - val_mse: 5.5957
Epoch 339/1000
0s - loss: 0.0033 - mse: 2.9090 - val_loss: 0.0064 - val_mse: 5.5932
Epoch 340/1000
0s - loss: 0.0033 - mse: 2.9062 - val_loss: 0.0064 - val_mse: 5.5908
Epoch 341/1000
0s - loss: 0.0033 - mse: 2.9034 - val_loss: 0.0064 - val_mse: 5.5883
Epoch 342/1000
0s - loss: 0.0033 - mse: 2.9007 - val_loss: 0.0064 - val_mse: 5.5858
Epoch 343/1000
0s - loss: 0.0033 - mse: 2.8979 - val_loss: 0.0064 - val_mse: 5.5831
Epoch 344/1000
0s - loss: 0.0033 - mse: 2.8951 - val_loss: 0.0064 - val_mse: 5.5806
Epoch 345/1000
0s - loss: 0.0033 - mse: 2.8923 - val_loss: 0.0064 - val_mse: 5.5782
Epoch 346/1000
0s - loss: 0.0033 - mse: 2.8896 - val_loss: 0.0064 - val_mse: 5.5759
Epoch 347/1000
0s - loss: 0.0033 - mse: 2.8868 - val_loss: 0.0064 - val_mse: 5.5734
Epoch 348/1000
0s - loss: 0.0033 - mse: 2.8840 - val_loss: 0.0064 - val_mse: 5.5708
Epoch 349/1000
0s - loss: 0.0033 - mse: 2.8813 - val_loss: 0.0064 - val_mse: 5.5681
Epoch 350/1000
0s - loss: 0.0033 - mse: 2.8785 - val_loss: 0.0064 - val_mse: 5.5653
Epoch 351/1000
0s - loss: 0.0033 - mse: 2.8757 - val_loss: 0.0064 - val_mse: 5.5626
Epoch 352/1000

Epoch 00351: reducing learning rate to 0.000282475253334.
0s - loss: 0.0033 - mse: 2.8730 - val_loss: 0.0064 - val_mse: 5.5601
Epoch 353/1000
0s - loss: 0.0033 - mse: 2.8702 - val_loss: 0.0064 - val_mse: 5.5583
Epoch 354/1000
0s - loss: 0.0033 - mse: 2.8683 - val_loss: 0.0064 - val_mse: 5.5567
Epoch 355/1000
0s - loss: 0.0033 - mse: 2.8663 - val_loss: 0.0064 - val_mse: 5.5551
Epoch 356/1000
0s - loss: 0.0033 - mse: 2.8644 - val_loss: 0.0064 - val_mse: 5.5533
Epoch 357/1000
0s - loss: 0.0033 - mse: 2.8625 - val_loss: 0.0064 - val_mse: 5.5516
Epoch 358/1000
0s - loss: 0.0033 - mse: 2.8606 - val_loss: 0.0064 - val_mse: 5.5498
Epoch 359/1000
0s - loss: 0.0033 - mse: 2.8586 - val_loss: 0.0064 - val_mse: 5.5480
Epoch 360/1000
0s - loss: 0.0033 - mse: 2.8567 - val_loss: 0.0064 - val_mse: 5.5462
Epoch 361/1000
0s - loss: 0.0033 - mse: 2.8548 - val_loss: 0.0064 - val_mse: 5.5445
Epoch 362/1000
0s - loss: 0.0033 - mse: 2.8529 - val_loss: 0.0064 - val_mse: 5.5428
Epoch 363/1000
0s - loss: 0.0033 - mse: 2.8510 - val_loss: 0.0064 - val_mse: 5.5410
Epoch 364/1000
0s - loss: 0.0033 - mse: 2.8491 - val_loss: 0.0064 - val_mse: 5.5392
Epoch 365/1000
0s - loss: 0.0033 - mse: 2.8471 - val_loss: 0.0064 - val_mse: 5.5375
Epoch 366/1000

Epoch 00365: reducing learning rate to 0.000197732681409.
0s - loss: 0.0033 - mse: 2.8452 - val_loss: 0.0064 - val_mse: 5.5357
Epoch 367/1000
0s - loss: 0.0033 - mse: 2.8433 - val_loss: 0.0064 - val_mse: 5.5345
Epoch 368/1000
0s - loss: 0.0033 - mse: 2.8420 - val_loss: 0.0064 - val_mse: 5.5333
Epoch 369/1000
0s - loss: 0.0033 - mse: 2.8406 - val_loss: 0.0064 - val_mse: 5.5321
Epoch 370/1000
0s - loss: 0.0033 - mse: 2.8393 - val_loss: 0.0064 - val_mse: 5.5308
Epoch 371/1000
0s - loss: 0.0033 - mse: 2.8380 - val_loss: 0.0063 - val_mse: 5.5295
Epoch 372/1000
0s - loss: 0.0033 - mse: 2.8366 - val_loss: 0.0063 - val_mse: 5.5283
Epoch 373/1000
0s - loss: 0.0033 - mse: 2.8353 - val_loss: 0.0063 - val_mse: 5.5271
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_67 (LSTM)               (None, None, 200)         162400    
_________________________________________________________________
time_distributed_64 (TimeDis (None, None, 1)           201       
=================================================================
Total params: 162,601
Trainable params: 162,601
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 1.0735 - mse: 934.8682 - val_loss: 0.6219 - val_mse: 541.5839
Epoch 2/1000
0s - loss: 0.5841 - mse: 508.6770 - val_loss: 0.5004 - val_mse: 435.7998
Epoch 3/1000
0s - loss: 0.4829 - mse: 420.5453 - val_loss: 0.4784 - val_mse: 416.6251
Epoch 4/1000
0s - loss: 0.4611 - mse: 401.5368 - val_loss: 0.2917 - val_mse: 254.0587
Epoch 5/1000
0s - loss: 0.2690 - mse: 234.2787 - val_loss: 1.5644 - val_mse: 1362.3813
Epoch 6/1000
0s - loss: 1.5636 - mse: 1361.6821 - val_loss: 0.2422 - val_mse: 210.8924
Epoch 7/1000
0s - loss: 0.2358 - mse: 205.3062 - val_loss: 0.2528 - val_mse: 220.1516
Epoch 8/1000
0s - loss: 0.2397 - mse: 208.7741 - val_loss: 0.2190 - val_mse: 190.6854
Epoch 9/1000
0s - loss: 0.2067 - mse: 180.0369 - val_loss: 0.1930 - val_mse: 168.0999
Epoch 10/1000
0s - loss: 0.1836 - mse: 159.8609 - val_loss: 0.1871 - val_mse: 162.9625
Epoch 11/1000
0s - loss: 0.1797 - mse: 156.5287 - val_loss: 0.1742 - val_mse: 151.6966
Epoch 12/1000
0s - loss: 0.1658 - mse: 144.4123 - val_loss: 0.1427 - val_mse: 124.2503
Epoch 13/1000
0s - loss: 0.1314 - mse: 114.4498 - val_loss: 0.1292 - val_mse: 112.5016
Epoch 14/1000
0s - loss: 0.1153 - mse: 100.3863 - val_loss: 0.1391 - val_mse: 121.1467
Epoch 15/1000
0s - loss: 0.1231 - mse: 107.1845 - val_loss: 0.1475 - val_mse: 128.4394
Epoch 16/1000
0s - loss: 0.1302 - mse: 113.3563 - val_loss: 0.1423 - val_mse: 123.9052
Epoch 17/1000
0s - loss: 0.1243 - mse: 108.2307 - val_loss: 0.1317 - val_mse: 114.6507
Epoch 18/1000
0s - loss: 0.1128 - mse: 98.2068 - val_loss: 0.1283 - val_mse: 111.7542
Epoch 19/1000
0s - loss: 0.1079 - mse: 93.9668 - val_loss: 0.1323 - val_mse: 115.2030
Epoch 20/1000
0s - loss: 0.1110 - mse: 96.6963 - val_loss: 0.1286 - val_mse: 111.9743
Epoch 21/1000
0s - loss: 0.1092 - mse: 95.1258 - val_loss: 0.1171 - val_mse: 101.9381
Epoch 22/1000
0s - loss: 0.1014 - mse: 88.2822 - val_loss: 0.1066 - val_mse: 92.8634
Epoch 23/1000
0s - loss: 0.0945 - mse: 82.2883 - val_loss: 0.0997 - val_mse: 86.8597
Epoch 24/1000
0s - loss: 0.0901 - mse: 78.4854 - val_loss: 0.0948 - val_mse: 82.5530
Epoch 25/1000
0s - loss: 0.0867 - mse: 75.5389 - val_loss: 0.0908 - val_mse: 79.0566
Epoch 26/1000
0s - loss: 0.0834 - mse: 72.6153 - val_loss: 0.0871 - val_mse: 75.8413
Epoch 27/1000
0s - loss: 0.0796 - mse: 69.3585 - val_loss: 0.0834 - val_mse: 72.6373
Epoch 28/1000
0s - loss: 0.0756 - mse: 65.8514 - val_loss: 0.0795 - val_mse: 69.2014
Epoch 29/1000
0s - loss: 0.0716 - mse: 62.3854 - val_loss: 0.0751 - val_mse: 65.3985
Epoch 30/1000
0s - loss: 0.0680 - mse: 59.2189 - val_loss: 0.0701 - val_mse: 61.0460
Epoch 31/1000
0s - loss: 0.0645 - mse: 56.1413 - val_loss: 0.0647 - val_mse: 56.3754
Epoch 32/1000
0s - loss: 0.0607 - mse: 52.8867 - val_loss: 0.0604 - val_mse: 52.5615
Epoch 33/1000
0s - loss: 0.0575 - mse: 50.1154 - val_loss: 0.0578 - val_mse: 50.3669
Epoch 34/1000
0s - loss: 0.0556 - mse: 48.4519 - val_loss: 0.0564 - val_mse: 49.1186
Epoch 35/1000
0s - loss: 0.0544 - mse: 47.3765 - val_loss: 0.0547 - val_mse: 47.6274
Epoch 36/1000
0s - loss: 0.0527 - mse: 45.9029 - val_loss: 0.0523 - val_mse: 45.5082
Epoch 37/1000
0s - loss: 0.0502 - mse: 43.7251 - val_loss: 0.0499 - val_mse: 43.4593
Epoch 38/1000
0s - loss: 0.0476 - mse: 41.4843 - val_loss: 0.0487 - val_mse: 42.4207
Epoch 39/1000
0s - loss: 0.0460 - mse: 40.0370 - val_loss: 0.0488 - val_mse: 42.4950
Epoch 40/1000
0s - loss: 0.0455 - mse: 39.5800 - val_loss: 0.0488 - val_mse: 42.4797
Epoch 41/1000
0s - loss: 0.0450 - mse: 39.1883 - val_loss: 0.0472 - val_mse: 41.1427
Epoch 42/1000
0s - loss: 0.0435 - mse: 37.9073 - val_loss: 0.0446 - val_mse: 38.8586
Epoch 43/1000
0s - loss: 0.0414 - mse: 36.0221 - val_loss: 0.0424 - val_mse: 36.9120
Epoch 44/1000
0s - loss: 0.0396 - mse: 34.5170 - val_loss: 0.0410 - val_mse: 35.7341
Epoch 45/1000
0s - loss: 0.0386 - mse: 33.6540 - val_loss: 0.0401 - val_mse: 34.9226
Epoch 46/1000
0s - loss: 0.0379 - mse: 33.0152 - val_loss: 0.0392 - val_mse: 34.1103
Epoch 47/1000
0s - loss: 0.0371 - mse: 32.2647 - val_loss: 0.0383 - val_mse: 33.3880
Epoch 48/1000
0s - loss: 0.0362 - mse: 31.4942 - val_loss: 0.0379 - val_mse: 32.9776
Epoch 49/1000
0s - loss: 0.0355 - mse: 30.9364 - val_loss: 0.0376 - val_mse: 32.7840
Epoch 50/1000
0s - loss: 0.0351 - mse: 30.5432 - val_loss: 0.0372 - val_mse: 32.4185
Epoch 51/1000
0s - loss: 0.0344 - mse: 29.9976 - val_loss: 0.0364 - val_mse: 31.6896
Epoch 52/1000
0s - loss: 0.0335 - mse: 29.1527 - val_loss: 0.0354 - val_mse: 30.8314
Epoch 53/1000
0s - loss: 0.0324 - mse: 28.2331 - val_loss: 0.0347 - val_mse: 30.1786
Epoch 54/1000
0s - loss: 0.0316 - mse: 27.5459 - val_loss: 0.0342 - val_mse: 29.7579
Epoch 55/1000
0s - loss: 0.0311 - mse: 27.0970 - val_loss: 0.0337 - val_mse: 29.3845
Epoch 56/1000
0s - loss: 0.0306 - mse: 26.6874 - val_loss: 0.0332 - val_mse: 28.9524
Epoch 57/1000
0s - loss: 0.0301 - mse: 26.2008 - val_loss: 0.0328 - val_mse: 28.5581
Epoch 58/1000
0s - loss: 0.0295 - mse: 25.7224 - val_loss: 0.0325 - val_mse: 28.2810
Epoch 59/1000
0s - loss: 0.0291 - mse: 25.3551 - val_loss: 0.0322 - val_mse: 28.0021
Epoch 60/1000
0s - loss: 0.0288 - mse: 25.0402 - val_loss: 0.0316 - val_mse: 27.5487
Epoch 61/1000
0s - loss: 0.0283 - mse: 24.6514 - val_loss: 0.0310 - val_mse: 26.9609
Epoch 62/1000
0s - loss: 0.0278 - mse: 24.2094 - val_loss: 0.0304 - val_mse: 26.4385
Epoch 63/1000
0s - loss: 0.0274 - mse: 23.8468 - val_loss: 0.0300 - val_mse: 26.0903
Epoch 64/1000
0s - loss: 0.0271 - mse: 23.6103 - val_loss: 0.0297 - val_mse: 25.8637
Epoch 65/1000
0s - loss: 0.0269 - mse: 23.4135 - val_loss: 0.0295 - val_mse: 25.6852
Epoch 66/1000
0s - loss: 0.0266 - mse: 23.1712 - val_loss: 0.0294 - val_mse: 25.5704
Epoch 67/1000
0s - loss: 0.0263 - mse: 22.9007 - val_loss: 0.0293 - val_mse: 25.5552
Epoch 68/1000
0s - loss: 0.0260 - mse: 22.6732 - val_loss: 0.0294 - val_mse: 25.5840
Epoch 69/1000
0s - loss: 0.0258 - mse: 22.5016 - val_loss: 0.0293 - val_mse: 25.5253
Epoch 70/1000
0s - loss: 0.0256 - mse: 22.3342 - val_loss: 0.0291 - val_mse: 25.3026
Epoch 71/1000
0s - loss: 0.0254 - mse: 22.1320 - val_loss: 0.0287 - val_mse: 24.9615
Epoch 72/1000
0s - loss: 0.0252 - mse: 21.9142 - val_loss: 0.0283 - val_mse: 24.6044
Epoch 73/1000
0s - loss: 0.0249 - mse: 21.7157 - val_loss: 0.0279 - val_mse: 24.2896
Epoch 74/1000
0s - loss: 0.0247 - mse: 21.5359 - val_loss: 0.0276 - val_mse: 24.0346
Epoch 75/1000
0s - loss: 0.0245 - mse: 21.3596 - val_loss: 0.0274 - val_mse: 23.8391
Epoch 76/1000
0s - loss: 0.0243 - mse: 21.1846 - val_loss: 0.0272 - val_mse: 23.6913
Epoch 77/1000
0s - loss: 0.0241 - mse: 21.0170 - val_loss: 0.0271 - val_mse: 23.5630
Epoch 78/1000
0s - loss: 0.0239 - mse: 20.8559 - val_loss: 0.0269 - val_mse: 23.4143
Epoch 79/1000
0s - loss: 0.0238 - mse: 20.6874 - val_loss: 0.0267 - val_mse: 23.2302
Epoch 80/1000
0s - loss: 0.0236 - mse: 20.5102 - val_loss: 0.0264 - val_mse: 23.0255
Epoch 81/1000
0s - loss: 0.0234 - mse: 20.3380 - val_loss: 0.0262 - val_mse: 22.8215
Epoch 82/1000
0s - loss: 0.0232 - mse: 20.1827 - val_loss: 0.0260 - val_mse: 22.6197
Epoch 83/1000
0s - loss: 0.0230 - mse: 20.0348 - val_loss: 0.0257 - val_mse: 22.4228
Epoch 84/1000
0s - loss: 0.0228 - mse: 19.8865 - val_loss: 0.0255 - val_mse: 22.2365
Epoch 85/1000
0s - loss: 0.0227 - mse: 19.7385 - val_loss: 0.0253 - val_mse: 22.0700
Epoch 86/1000
0s - loss: 0.0225 - mse: 19.5975 - val_loss: 0.0252 - val_mse: 21.9176
Epoch 87/1000
0s - loss: 0.0223 - mse: 19.4601 - val_loss: 0.0250 - val_mse: 21.7715
Epoch 88/1000
0s - loss: 0.0222 - mse: 19.3220 - val_loss: 0.0248 - val_mse: 21.6348
Epoch 89/1000
0s - loss: 0.0220 - mse: 19.1863 - val_loss: 0.0247 - val_mse: 21.5126
Epoch 90/1000
0s - loss: 0.0219 - mse: 19.0564 - val_loss: 0.0246 - val_mse: 21.3981
Epoch 91/1000
0s - loss: 0.0217 - mse: 18.9265 - val_loss: 0.0244 - val_mse: 21.2830
Epoch 92/1000
0s - loss: 0.0216 - mse: 18.7909 - val_loss: 0.0243 - val_mse: 21.1693
Epoch 93/1000
0s - loss: 0.0214 - mse: 18.6545 - val_loss: 0.0242 - val_mse: 21.0615
Epoch 94/1000
0s - loss: 0.0213 - mse: 18.5245 - val_loss: 0.0241 - val_mse: 20.9534
Epoch 95/1000
0s - loss: 0.0211 - mse: 18.3989 - val_loss: 0.0239 - val_mse: 20.8344
Epoch 96/1000
0s - loss: 0.0210 - mse: 18.2712 - val_loss: 0.0238 - val_mse: 20.7019
Epoch 97/1000
0s - loss: 0.0208 - mse: 18.1401 - val_loss: 0.0236 - val_mse: 20.5640
Epoch 98/1000
0s - loss: 0.0207 - mse: 18.0118 - val_loss: 0.0235 - val_mse: 20.4243
Epoch 99/1000
0s - loss: 0.0205 - mse: 17.8874 - val_loss: 0.0233 - val_mse: 20.2824
Epoch 100/1000
0s - loss: 0.0204 - mse: 17.7638 - val_loss: 0.0231 - val_mse: 20.1401
Epoch 101/1000
0s - loss: 0.0203 - mse: 17.6394 - val_loss: 0.0230 - val_mse: 20.0030
Epoch 102/1000
0s - loss: 0.0201 - mse: 17.5171 - val_loss: 0.0228 - val_mse: 19.8728
Epoch 103/1000
0s - loss: 0.0200 - mse: 17.3946 - val_loss: 0.0227 - val_mse: 19.7471
Epoch 104/1000
0s - loss: 0.0198 - mse: 17.2692 - val_loss: 0.0225 - val_mse: 19.6280
Epoch 105/1000
0s - loss: 0.0197 - mse: 17.1435 - val_loss: 0.0224 - val_mse: 19.5181
Epoch 106/1000
0s - loss: 0.0195 - mse: 17.0204 - val_loss: 0.0223 - val_mse: 19.4127
Epoch 107/1000
0s - loss: 0.0194 - mse: 16.8985 - val_loss: 0.0222 - val_mse: 19.3061
Epoch 108/1000
0s - loss: 0.0193 - mse: 16.7751 - val_loss: 0.0220 - val_mse: 19.1972
Epoch 109/1000
0s - loss: 0.0191 - mse: 16.6516 - val_loss: 0.0219 - val_mse: 19.0871
Epoch 110/1000
0s - loss: 0.0190 - mse: 16.5300 - val_loss: 0.0218 - val_mse: 18.9756
Epoch 111/1000
0s - loss: 0.0188 - mse: 16.4101 - val_loss: 0.0217 - val_mse: 18.8617
Epoch 112/1000
0s - loss: 0.0187 - mse: 16.2900 - val_loss: 0.0215 - val_mse: 18.7473
Epoch 113/1000
0s - loss: 0.0186 - mse: 16.1711 - val_loss: 0.0214 - val_mse: 18.6308
Epoch 114/1000
0s - loss: 0.0184 - mse: 16.0534 - val_loss: 0.0213 - val_mse: 18.5115
Epoch 115/1000
0s - loss: 0.0183 - mse: 15.9359 - val_loss: 0.0211 - val_mse: 18.3919
Epoch 116/1000
0s - loss: 0.0182 - mse: 15.8193 - val_loss: 0.0210 - val_mse: 18.2746
Epoch 117/1000
0s - loss: 0.0180 - mse: 15.7039 - val_loss: 0.0209 - val_mse: 18.1610
Epoch 118/1000
0s - loss: 0.0179 - mse: 15.5898 - val_loss: 0.0207 - val_mse: 18.0502
Epoch 119/1000
0s - loss: 0.0178 - mse: 15.4759 - val_loss: 0.0206 - val_mse: 17.9419
Epoch 120/1000
0s - loss: 0.0176 - mse: 15.3628 - val_loss: 0.0205 - val_mse: 17.8337
Epoch 121/1000
0s - loss: 0.0175 - mse: 15.2507 - val_loss: 0.0204 - val_mse: 17.7248
Epoch 122/1000
0s - loss: 0.0174 - mse: 15.1388 - val_loss: 0.0202 - val_mse: 17.6176
Epoch 123/1000
0s - loss: 0.0173 - mse: 15.0268 - val_loss: 0.0201 - val_mse: 17.5139
Epoch 124/1000
0s - loss: 0.0171 - mse: 14.9139 - val_loss: 0.0200 - val_mse: 17.4151
Epoch 125/1000
0s - loss: 0.0170 - mse: 14.8010 - val_loss: 0.0199 - val_mse: 17.3208
Epoch 126/1000
0s - loss: 0.0169 - mse: 14.6883 - val_loss: 0.0198 - val_mse: 17.2281
Epoch 127/1000
0s - loss: 0.0167 - mse: 14.5758 - val_loss: 0.0197 - val_mse: 17.1332
Epoch 128/1000
0s - loss: 0.0166 - mse: 14.4640 - val_loss: 0.0196 - val_mse: 17.0342
Epoch 129/1000
0s - loss: 0.0165 - mse: 14.3518 - val_loss: 0.0194 - val_mse: 16.9348
Epoch 130/1000
0s - loss: 0.0164 - mse: 14.2414 - val_loss: 0.0193 - val_mse: 16.8354
Epoch 131/1000
0s - loss: 0.0162 - mse: 14.1311 - val_loss: 0.0192 - val_mse: 16.7375
Epoch 132/1000
0s - loss: 0.0161 - mse: 14.0208 - val_loss: 0.0191 - val_mse: 16.6422
Epoch 133/1000
0s - loss: 0.0160 - mse: 13.9116 - val_loss: 0.0190 - val_mse: 16.5489
Epoch 134/1000
0s - loss: 0.0159 - mse: 13.8034 - val_loss: 0.0189 - val_mse: 16.4564
Epoch 135/1000
0s - loss: 0.0157 - mse: 13.6953 - val_loss: 0.0188 - val_mse: 16.3654
Epoch 136/1000
0s - loss: 0.0156 - mse: 13.5870 - val_loss: 0.0187 - val_mse: 16.2766
Epoch 137/1000
0s - loss: 0.0155 - mse: 13.4788 - val_loss: 0.0186 - val_mse: 16.1894
Epoch 138/1000
0s - loss: 0.0154 - mse: 13.3705 - val_loss: 0.0185 - val_mse: 16.1020
Epoch 139/1000
0s - loss: 0.0152 - mse: 13.2624 - val_loss: 0.0184 - val_mse: 16.0122
Epoch 140/1000
0s - loss: 0.0151 - mse: 13.1545 - val_loss: 0.0183 - val_mse: 15.9185
Epoch 141/1000
0s - loss: 0.0150 - mse: 13.0461 - val_loss: 0.0182 - val_mse: 15.8240
Epoch 142/1000
0s - loss: 0.0149 - mse: 12.9383 - val_loss: 0.0181 - val_mse: 15.7338
Epoch 143/1000
0s - loss: 0.0147 - mse: 12.8316 - val_loss: 0.0180 - val_mse: 15.6490
Epoch 144/1000
0s - loss: 0.0146 - mse: 12.7248 - val_loss: 0.0179 - val_mse: 15.5680
Epoch 145/1000
0s - loss: 0.0145 - mse: 12.6181 - val_loss: 0.0178 - val_mse: 15.4878
Epoch 146/1000
0s - loss: 0.0144 - mse: 12.5114 - val_loss: 0.0177 - val_mse: 15.4035
Epoch 147/1000
0s - loss: 0.0142 - mse: 12.4036 - val_loss: 0.0176 - val_mse: 15.3188
Epoch 148/1000
0s - loss: 0.0141 - mse: 12.2957 - val_loss: 0.0175 - val_mse: 15.2360
Epoch 149/1000
0s - loss: 0.0140 - mse: 12.1877 - val_loss: 0.0174 - val_mse: 15.1555
Epoch 150/1000
0s - loss: 0.0139 - mse: 12.0789 - val_loss: 0.0173 - val_mse: 15.0767
Epoch 151/1000
0s - loss: 0.0137 - mse: 11.9706 - val_loss: 0.0172 - val_mse: 14.9965
Epoch 152/1000
0s - loss: 0.0136 - mse: 11.8618 - val_loss: 0.0171 - val_mse: 14.9152
Epoch 153/1000
0s - loss: 0.0135 - mse: 11.7531 - val_loss: 0.0170 - val_mse: 14.8367
Epoch 154/1000
0s - loss: 0.0134 - mse: 11.6455 - val_loss: 0.0170 - val_mse: 14.7629
Epoch 155/1000
0s - loss: 0.0133 - mse: 11.5389 - val_loss: 0.0169 - val_mse: 14.6914
Epoch 156/1000
0s - loss: 0.0131 - mse: 11.4332 - val_loss: 0.0168 - val_mse: 14.6190
Epoch 157/1000
0s - loss: 0.0130 - mse: 11.3277 - val_loss: 0.0167 - val_mse: 14.5452
Epoch 158/1000
0s - loss: 0.0129 - mse: 11.2227 - val_loss: 0.0166 - val_mse: 14.4720
Epoch 159/1000
0s - loss: 0.0128 - mse: 11.1186 - val_loss: 0.0165 - val_mse: 14.4016
Epoch 160/1000
0s - loss: 0.0127 - mse: 11.0162 - val_loss: 0.0165 - val_mse: 14.3334
Epoch 161/1000
0s - loss: 0.0125 - mse: 10.9148 - val_loss: 0.0164 - val_mse: 14.2643
Epoch 162/1000
0s - loss: 0.0124 - mse: 10.8140 - val_loss: 0.0163 - val_mse: 14.1921
Epoch 163/1000
0s - loss: 0.0123 - mse: 10.7139 - val_loss: 0.0162 - val_mse: 14.1173
Epoch 164/1000
0s - loss: 0.0122 - mse: 10.6149 - val_loss: 0.0161 - val_mse: 14.0421
Epoch 165/1000
0s - loss: 0.0121 - mse: 10.5172 - val_loss: 0.0160 - val_mse: 13.9694
Epoch 166/1000
0s - loss: 0.0120 - mse: 10.4200 - val_loss: 0.0160 - val_mse: 13.9015
Epoch 167/1000
0s - loss: 0.0119 - mse: 10.3230 - val_loss: 0.0159 - val_mse: 13.8377
Epoch 168/1000
0s - loss: 0.0117 - mse: 10.2276 - val_loss: 0.0158 - val_mse: 13.7748
Epoch 169/1000
0s - loss: 0.0116 - mse: 10.1342 - val_loss: 0.0157 - val_mse: 13.7085
Epoch 170/1000
0s - loss: 0.0115 - mse: 10.0411 - val_loss: 0.0157 - val_mse: 13.6398
Epoch 171/1000
0s - loss: 0.0114 - mse: 9.9488 - val_loss: 0.0156 - val_mse: 13.5715
Epoch 172/1000
0s - loss: 0.0113 - mse: 9.8570 - val_loss: 0.0155 - val_mse: 13.5063
Epoch 173/1000
0s - loss: 0.0112 - mse: 9.7656 - val_loss: 0.0154 - val_mse: 13.4450
Epoch 174/1000
0s - loss: 0.0111 - mse: 9.6745 - val_loss: 0.0154 - val_mse: 13.3846
Epoch 175/1000
0s - loss: 0.0110 - mse: 9.5838 - val_loss: 0.0153 - val_mse: 13.3202
Epoch 176/1000
0s - loss: 0.0109 - mse: 9.4934 - val_loss: 0.0152 - val_mse: 13.2499
Epoch 177/1000
0s - loss: 0.0108 - mse: 9.4030 - val_loss: 0.0151 - val_mse: 13.1765
Epoch 178/1000
0s - loss: 0.0107 - mse: 9.3130 - val_loss: 0.0150 - val_mse: 13.1041
Epoch 179/1000
0s - loss: 0.0106 - mse: 9.2235 - val_loss: 0.0150 - val_mse: 13.0374
Epoch 180/1000
0s - loss: 0.0105 - mse: 9.1345 - val_loss: 0.0149 - val_mse: 12.9751
Epoch 181/1000
0s - loss: 0.0104 - mse: 9.0454 - val_loss: 0.0148 - val_mse: 12.9133
Epoch 182/1000
0s - loss: 0.0103 - mse: 8.9561 - val_loss: 0.0148 - val_mse: 12.8495
Epoch 183/1000
0s - loss: 0.0102 - mse: 8.8669 - val_loss: 0.0147 - val_mse: 12.7848
Epoch 184/1000
0s - loss: 0.0101 - mse: 8.7783 - val_loss: 0.0146 - val_mse: 12.7224
Epoch 185/1000
0s - loss: 0.0100 - mse: 8.6919 - val_loss: 0.0145 - val_mse: 12.6611
Epoch 186/1000
0s - loss: 0.0099 - mse: 8.6046 - val_loss: 0.0145 - val_mse: 12.5941
Epoch 187/1000
0s - loss: 0.0098 - mse: 8.5160 - val_loss: 0.0144 - val_mse: 12.5276
Epoch 188/1000
0s - loss: 0.0097 - mse: 8.4282 - val_loss: 0.0143 - val_mse: 12.4645
Epoch 189/1000
0s - loss: 0.0096 - mse: 8.3388 - val_loss: 0.0142 - val_mse: 12.4024
Epoch 190/1000
0s - loss: 0.0095 - mse: 8.2504 - val_loss: 0.0142 - val_mse: 12.3349
Epoch 191/1000
0s - loss: 0.0094 - mse: 8.1617 - val_loss: 0.0141 - val_mse: 12.2602
Epoch 192/1000
0s - loss: 0.0093 - mse: 8.0727 - val_loss: 0.0140 - val_mse: 12.1865
Epoch 193/1000
0s - loss: 0.0092 - mse: 7.9833 - val_loss: 0.0139 - val_mse: 12.1186
Epoch 194/1000
0s - loss: 0.0091 - mse: 7.8933 - val_loss: 0.0138 - val_mse: 12.0507
Epoch 195/1000
0s - loss: 0.0090 - mse: 7.8017 - val_loss: 0.0138 - val_mse: 11.9809
Epoch 196/1000
0s - loss: 0.0089 - mse: 7.7082 - val_loss: 0.0137 - val_mse: 11.9120
Epoch 197/1000
0s - loss: 0.0087 - mse: 7.6141 - val_loss: 0.0136 - val_mse: 11.8440
Epoch 198/1000
0s - loss: 0.0086 - mse: 7.5194 - val_loss: 0.0135 - val_mse: 11.7704
Epoch 199/1000
0s - loss: 0.0085 - mse: 7.4256 - val_loss: 0.0134 - val_mse: 11.6906
Epoch 200/1000
0s - loss: 0.0084 - mse: 7.3315 - val_loss: 0.0133 - val_mse: 11.6142
Epoch 201/1000
0s - loss: 0.0083 - mse: 7.2350 - val_loss: 0.0133 - val_mse: 11.5476
Epoch 202/1000
0s - loss: 0.0082 - mse: 7.1379 - val_loss: 0.0132 - val_mse: 11.4842
Epoch 203/1000
0s - loss: 0.0081 - mse: 7.0429 - val_loss: 0.0131 - val_mse: 11.4183
Epoch 204/1000
0s - loss: 0.0080 - mse: 6.9506 - val_loss: 0.0130 - val_mse: 11.3588
Epoch 205/1000
0s - loss: 0.0079 - mse: 6.8630 - val_loss: 0.0130 - val_mse: 11.3056
Epoch 206/1000
0s - loss: 0.0078 - mse: 6.7770 - val_loss: 0.0129 - val_mse: 11.2528
Epoch 207/1000
0s - loss: 0.0077 - mse: 6.6932 - val_loss: 0.0129 - val_mse: 11.1985
Epoch 208/1000
0s - loss: 0.0076 - mse: 6.6102 - val_loss: 0.0128 - val_mse: 11.1551
Epoch 209/1000
0s - loss: 0.0075 - mse: 6.5278 - val_loss: 0.0128 - val_mse: 11.1214
Epoch 210/1000
0s - loss: 0.0074 - mse: 6.4467 - val_loss: 0.0127 - val_mse: 11.0843
Epoch 211/1000
0s - loss: 0.0073 - mse: 6.3661 - val_loss: 0.0127 - val_mse: 11.0416
Epoch 212/1000
0s - loss: 0.0072 - mse: 6.2868 - val_loss: 0.0126 - val_mse: 10.9978
Epoch 213/1000
0s - loss: 0.0071 - mse: 6.2077 - val_loss: 0.0126 - val_mse: 10.9534
Epoch 214/1000
0s - loss: 0.0070 - mse: 6.1302 - val_loss: 0.0125 - val_mse: 10.9101
Epoch 215/1000
0s - loss: 0.0070 - mse: 6.0547 - val_loss: 0.0125 - val_mse: 10.8776
Epoch 216/1000
0s - loss: 0.0069 - mse: 5.9816 - val_loss: 0.0125 - val_mse: 10.8459
Epoch 217/1000
0s - loss: 0.0068 - mse: 5.9093 - val_loss: 0.0124 - val_mse: 10.8142
Epoch 218/1000
0s - loss: 0.0067 - mse: 5.8374 - val_loss: 0.0124 - val_mse: 10.7906
Epoch 219/1000
0s - loss: 0.0066 - mse: 5.7668 - val_loss: 0.0124 - val_mse: 10.7688
Epoch 220/1000
0s - loss: 0.0065 - mse: 5.6971 - val_loss: 0.0123 - val_mse: 10.7351
Epoch 221/1000
0s - loss: 0.0065 - mse: 5.6276 - val_loss: 0.0123 - val_mse: 10.6983
Epoch 222/1000
0s - loss: 0.0064 - mse: 5.5593 - val_loss: 0.0122 - val_mse: 10.6640
Epoch 223/1000
0s - loss: 0.0063 - mse: 5.4929 - val_loss: 0.0122 - val_mse: 10.6271
Epoch 224/1000
0s - loss: 0.0062 - mse: 5.4274 - val_loss: 0.0122 - val_mse: 10.5945
Epoch 225/1000
0s - loss: 0.0062 - mse: 5.3636 - val_loss: 0.0121 - val_mse: 10.5570
Epoch 226/1000
0s - loss: 0.0061 - mse: 5.3007 - val_loss: 0.0121 - val_mse: 10.5080
Epoch 227/1000
0s - loss: 0.0060 - mse: 5.2384 - val_loss: 0.0120 - val_mse: 10.4619
Epoch 228/1000
0s - loss: 0.0059 - mse: 5.1777 - val_loss: 0.0120 - val_mse: 10.4161
Epoch 229/1000
0s - loss: 0.0059 - mse: 5.1182 - val_loss: 0.0119 - val_mse: 10.3723
Epoch 230/1000
0s - loss: 0.0058 - mse: 5.0594 - val_loss: 0.0119 - val_mse: 10.3402
Epoch 231/1000
0s - loss: 0.0057 - mse: 5.0010 - val_loss: 0.0118 - val_mse: 10.3097
Epoch 232/1000
0s - loss: 0.0057 - mse: 4.9442 - val_loss: 0.0118 - val_mse: 10.2687
Epoch 233/1000
0s - loss: 0.0056 - mse: 4.8892 - val_loss: 0.0117 - val_mse: 10.2247
Epoch 234/1000
0s - loss: 0.0056 - mse: 4.8357 - val_loss: 0.0117 - val_mse: 10.1854
Epoch 235/1000
0s - loss: 0.0055 - mse: 4.7834 - val_loss: 0.0117 - val_mse: 10.1463
Epoch 236/1000
0s - loss: 0.0054 - mse: 4.7323 - val_loss: 0.0116 - val_mse: 10.1126
Epoch 237/1000
0s - loss: 0.0054 - mse: 4.6829 - val_loss: 0.0116 - val_mse: 10.0787
Epoch 238/1000
0s - loss: 0.0053 - mse: 4.6345 - val_loss: 0.0115 - val_mse: 10.0367
Epoch 239/1000
0s - loss: 0.0053 - mse: 4.5866 - val_loss: 0.0115 - val_mse: 9.9931
Epoch 240/1000
0s - loss: 0.0052 - mse: 4.5405 - val_loss: 0.0114 - val_mse: 9.9556
Epoch 241/1000
0s - loss: 0.0052 - mse: 4.4946 - val_loss: 0.0114 - val_mse: 9.9145
Epoch 242/1000
0s - loss: 0.0051 - mse: 4.4500 - val_loss: 0.0113 - val_mse: 9.8738
Epoch 243/1000
0s - loss: 0.0051 - mse: 4.4061 - val_loss: 0.0113 - val_mse: 9.8358
Epoch 244/1000
0s - loss: 0.0050 - mse: 4.3631 - val_loss: 0.0112 - val_mse: 9.7965
Epoch 245/1000
0s - loss: 0.0050 - mse: 4.3211 - val_loss: 0.0112 - val_mse: 9.7567
Epoch 246/1000
0s - loss: 0.0049 - mse: 4.2794 - val_loss: 0.0112 - val_mse: 9.7155
Epoch 247/1000
0s - loss: 0.0049 - mse: 4.2389 - val_loss: 0.0111 - val_mse: 9.6676
Epoch 248/1000
0s - loss: 0.0048 - mse: 4.1995 - val_loss: 0.0110 - val_mse: 9.6159
Epoch 249/1000
0s - loss: 0.0048 - mse: 4.1606 - val_loss: 0.0110 - val_mse: 9.5725
Epoch 250/1000
0s - loss: 0.0047 - mse: 4.1219 - val_loss: 0.0109 - val_mse: 9.5321
Epoch 251/1000
0s - loss: 0.0047 - mse: 4.0840 - val_loss: 0.0109 - val_mse: 9.4906
Epoch 252/1000
0s - loss: 0.0046 - mse: 4.0466 - val_loss: 0.0108 - val_mse: 9.4423
Epoch 253/1000
0s - loss: 0.0046 - mse: 4.0104 - val_loss: 0.0108 - val_mse: 9.3932
Epoch 254/1000
0s - loss: 0.0046 - mse: 3.9746 - val_loss: 0.0107 - val_mse: 9.3559
Epoch 255/1000
0s - loss: 0.0045 - mse: 3.9390 - val_loss: 0.0107 - val_mse: 9.3132
Epoch 256/1000
0s - loss: 0.0045 - mse: 3.9041 - val_loss: 0.0106 - val_mse: 9.2677
Epoch 257/1000
0s - loss: 0.0044 - mse: 3.8694 - val_loss: 0.0106 - val_mse: 9.2320
Epoch 258/1000
0s - loss: 0.0044 - mse: 3.8352 - val_loss: 0.0106 - val_mse: 9.2048
Epoch 259/1000
0s - loss: 0.0044 - mse: 3.8013 - val_loss: 0.0105 - val_mse: 9.1731
Epoch 260/1000
0s - loss: 0.0043 - mse: 3.7678 - val_loss: 0.0105 - val_mse: 9.1301
Epoch 261/1000
0s - loss: 0.0043 - mse: 3.7344 - val_loss: 0.0104 - val_mse: 9.0917
Epoch 262/1000
0s - loss: 0.0043 - mse: 3.7011 - val_loss: 0.0104 - val_mse: 9.0584
Epoch 263/1000
0s - loss: 0.0042 - mse: 3.6685 - val_loss: 0.0104 - val_mse: 9.0194
Epoch 264/1000
0s - loss: 0.0042 - mse: 3.6362 - val_loss: 0.0103 - val_mse: 8.9808
Epoch 265/1000
0s - loss: 0.0041 - mse: 3.6040 - val_loss: 0.0103 - val_mse: 8.9509
Epoch 266/1000
0s - loss: 0.0041 - mse: 3.5720 - val_loss: 0.0102 - val_mse: 8.9151
Epoch 267/1000
0s - loss: 0.0041 - mse: 3.5410 - val_loss: 0.0102 - val_mse: 8.8766
Epoch 268/1000
0s - loss: 0.0040 - mse: 3.5104 - val_loss: 0.0102 - val_mse: 8.8460
Epoch 269/1000
0s - loss: 0.0040 - mse: 3.4796 - val_loss: 0.0101 - val_mse: 8.8173
Epoch 270/1000
0s - loss: 0.0040 - mse: 3.4482 - val_loss: 0.0101 - val_mse: 8.7846
Epoch 271/1000
0s - loss: 0.0039 - mse: 3.4168 - val_loss: 0.0100 - val_mse: 8.7511
Epoch 272/1000
0s - loss: 0.0039 - mse: 3.3853 - val_loss: 0.0100 - val_mse: 8.7290
Epoch 273/1000
0s - loss: 0.0039 - mse: 3.3535 - val_loss: 0.0100 - val_mse: 8.6943
Epoch 274/1000
0s - loss: 0.0038 - mse: 3.3213 - val_loss: 0.0099 - val_mse: 8.6610
Epoch 275/1000
0s - loss: 0.0038 - mse: 3.2892 - val_loss: 0.0099 - val_mse: 8.6261
Epoch 276/1000
0s - loss: 0.0037 - mse: 3.2581 - val_loss: 0.0099 - val_mse: 8.6229
Epoch 277/1000
0s - loss: 0.0037 - mse: 3.2293 - val_loss: 0.0099 - val_mse: 8.5832
Epoch 278/1000
0s - loss: 0.0037 - mse: 3.2070 - val_loss: 0.0099 - val_mse: 8.6093
Epoch 279/1000

Epoch 00278: reducing learning rate to 0.00699999984354.
4s - loss: 0.0037 - mse: 3.2048 - val_loss: 0.0099 - val_mse: 8.5976
Epoch 280/1000
0s - loss: 0.0037 - mse: 3.2505 - val_loss: 0.0099 - val_mse: 8.6246
Epoch 281/1000
0s - loss: 0.0037 - mse: 3.1958 - val_loss: 0.0098 - val_mse: 8.4987
Epoch 282/1000
0s - loss: 0.0035 - mse: 3.0831 - val_loss: 0.0098 - val_mse: 8.5291
Epoch 283/1000
0s - loss: 0.0036 - mse: 3.1700 - val_loss: 0.0098 - val_mse: 8.5231
Epoch 284/1000
0s - loss: 0.0036 - mse: 3.0979 - val_loss: 0.0097 - val_mse: 8.4392
Epoch 285/1000
0s - loss: 0.0035 - mse: 3.0166 - val_loss: 0.0097 - val_mse: 8.4637
Epoch 286/1000
0s - loss: 0.0035 - mse: 3.0841 - val_loss: 0.0097 - val_mse: 8.4374
Epoch 287/1000
0s - loss: 0.0034 - mse: 2.9984 - val_loss: 0.0096 - val_mse: 8.3794
Epoch 288/1000
0s - loss: 0.0034 - mse: 2.9492 - val_loss: 0.0096 - val_mse: 8.3726
Epoch 289/1000
0s - loss: 0.0034 - mse: 2.9915 - val_loss: 0.0096 - val_mse: 8.3398
Epoch 290/1000
0s - loss: 0.0033 - mse: 2.9045 - val_loss: 0.0095 - val_mse: 8.3097
Epoch 291/1000
0s - loss: 0.0033 - mse: 2.8741 - val_loss: 0.0095 - val_mse: 8.2856
Epoch 292/1000
0s - loss: 0.0033 - mse: 2.8936 - val_loss: 0.0095 - val_mse: 8.2515
Epoch 293/1000
0s - loss: 0.0032 - mse: 2.8151 - val_loss: 0.0095 - val_mse: 8.2381
Epoch 294/1000
0s - loss: 0.0032 - mse: 2.7907 - val_loss: 0.0094 - val_mse: 8.2200
Epoch 295/1000
0s - loss: 0.0032 - mse: 2.7963 - val_loss: 0.0094 - val_mse: 8.1964
Epoch 296/1000
0s - loss: 0.0031 - mse: 2.7277 - val_loss: 0.0094 - val_mse: 8.1766
Epoch 297/1000
0s - loss: 0.0031 - mse: 2.7004 - val_loss: 0.0094 - val_mse: 8.1520
Epoch 298/1000
0s - loss: 0.0031 - mse: 2.6965 - val_loss: 0.0093 - val_mse: 8.1382
Epoch 299/1000
0s - loss: 0.0030 - mse: 2.6388 - val_loss: 0.0093 - val_mse: 8.1158
Epoch 300/1000
0s - loss: 0.0030 - mse: 2.6056 - val_loss: 0.0093 - val_mse: 8.0957
Epoch 301/1000
0s - loss: 0.0030 - mse: 2.5978 - val_loss: 0.0093 - val_mse: 8.0898
Epoch 302/1000
0s - loss: 0.0029 - mse: 2.5516 - val_loss: 0.0093 - val_mse: 8.0650
Epoch 303/1000
0s - loss: 0.0029 - mse: 2.5106 - val_loss: 0.0093 - val_mse: 8.0568
Epoch 304/1000
0s - loss: 0.0029 - mse: 2.4978 - val_loss: 0.0093 - val_mse: 8.0612
Epoch 305/1000

Epoch 00304: reducing learning rate to 0.00489999982528.
0s - loss: 0.0028 - mse: 2.4644 - val_loss: 0.0092 - val_mse: 8.0153
Epoch 306/1000
0s - loss: 0.0028 - mse: 2.4171 - val_loss: 0.0092 - val_mse: 8.0048
Epoch 307/1000
0s - loss: 0.0028 - mse: 2.3997 - val_loss: 0.0092 - val_mse: 8.0038
Epoch 308/1000
0s - loss: 0.0027 - mse: 2.3743 - val_loss: 0.0092 - val_mse: 7.9951
Epoch 309/1000
0s - loss: 0.0027 - mse: 2.3530 - val_loss: 0.0092 - val_mse: 7.9728
Epoch 310/1000
0s - loss: 0.0027 - mse: 2.3315 - val_loss: 0.0091 - val_mse: 7.9604
Epoch 311/1000
0s - loss: 0.0026 - mse: 2.3069 - val_loss: 0.0091 - val_mse: 7.9628
Epoch 312/1000
0s - loss: 0.0026 - mse: 2.2869 - val_loss: 0.0091 - val_mse: 7.9494
Epoch 313/1000
0s - loss: 0.0026 - mse: 2.2608 - val_loss: 0.0091 - val_mse: 7.9382
Epoch 314/1000
0s - loss: 0.0026 - mse: 2.2410 - val_loss: 0.0091 - val_mse: 7.9306
Epoch 315/1000
0s - loss: 0.0025 - mse: 2.2161 - val_loss: 0.0091 - val_mse: 7.9255
Epoch 316/1000
0s - loss: 0.0025 - mse: 2.1949 - val_loss: 0.0091 - val_mse: 7.9169
Epoch 317/1000
0s - loss: 0.0025 - mse: 2.1715 - val_loss: 0.0091 - val_mse: 7.9158
Epoch 318/1000
0s - loss: 0.0025 - mse: 2.1481 - val_loss: 0.0091 - val_mse: 7.9129
Epoch 319/1000
0s - loss: 0.0024 - mse: 2.1269 - val_loss: 0.0091 - val_mse: 7.8945
Epoch 320/1000
0s - loss: 0.0024 - mse: 2.1030 - val_loss: 0.0091 - val_mse: 7.8817
Epoch 321/1000

Epoch 00320: reducing learning rate to 0.00343000004068.
0s - loss: 0.0024 - mse: 2.0819 - val_loss: 0.0090 - val_mse: 7.8790
Epoch 322/1000
0s - loss: 0.0024 - mse: 2.0588 - val_loss: 0.0090 - val_mse: 7.8759
Epoch 323/1000
0s - loss: 0.0023 - mse: 2.0431 - val_loss: 0.0090 - val_mse: 7.8692
Epoch 324/1000
0s - loss: 0.0023 - mse: 2.0274 - val_loss: 0.0090 - val_mse: 7.8624
Epoch 325/1000
0s - loss: 0.0023 - mse: 2.0121 - val_loss: 0.0090 - val_mse: 7.8569
Epoch 326/1000
0s - loss: 0.0023 - mse: 1.9964 - val_loss: 0.0090 - val_mse: 7.8520
Epoch 327/1000
0s - loss: 0.0023 - mse: 1.9813 - val_loss: 0.0090 - val_mse: 7.8462
Epoch 328/1000
0s - loss: 0.0023 - mse: 1.9656 - val_loss: 0.0090 - val_mse: 7.8429
Epoch 329/1000
0s - loss: 0.0022 - mse: 1.9508 - val_loss: 0.0090 - val_mse: 7.8412
Epoch 330/1000
0s - loss: 0.0022 - mse: 1.9354 - val_loss: 0.0090 - val_mse: 7.8393
Epoch 331/1000
0s - loss: 0.0022 - mse: 1.9208 - val_loss: 0.0090 - val_mse: 7.8348
Epoch 332/1000
0s - loss: 0.0022 - mse: 1.9055 - val_loss: 0.0090 - val_mse: 7.8314
Epoch 333/1000
0s - loss: 0.0022 - mse: 1.8910 - val_loss: 0.0090 - val_mse: 7.8296
Epoch 334/1000
0s - loss: 0.0022 - mse: 1.8761 - val_loss: 0.0090 - val_mse: 7.8268
Epoch 335/1000
0s - loss: 0.0021 - mse: 1.8618 - val_loss: 0.0090 - val_mse: 7.8213
Epoch 336/1000
0s - loss: 0.0021 - mse: 1.8474 - val_loss: 0.0090 - val_mse: 7.8163
Epoch 337/1000
0s - loss: 0.0021 - mse: 1.8337 - val_loss: 0.0090 - val_mse: 7.8132
Epoch 338/1000

Epoch 00337: reducing learning rate to 0.00240100002848.
0s - loss: 0.0021 - mse: 1.8198 - val_loss: 0.0090 - val_mse: 7.8120
Epoch 339/1000
0s - loss: 0.0021 - mse: 1.8063 - val_loss: 0.0090 - val_mse: 7.8112
Epoch 340/1000
0s - loss: 0.0021 - mse: 1.7969 - val_loss: 0.0090 - val_mse: 7.8114
Epoch 341/1000
0s - loss: 0.0021 - mse: 1.7876 - val_loss: 0.0090 - val_mse: 7.8122
Epoch 342/1000
0s - loss: 0.0020 - mse: 1.7782 - val_loss: 0.0090 - val_mse: 7.8124
Epoch 343/1000
0s - loss: 0.0020 - mse: 1.7691 - val_loss: 0.0090 - val_mse: 7.8109
Epoch 344/1000
0s - loss: 0.0020 - mse: 1.7601 - val_loss: 0.0090 - val_mse: 7.8086
Epoch 345/1000
0s - loss: 0.0020 - mse: 1.7510 - val_loss: 0.0090 - val_mse: 7.8072
Epoch 346/1000
0s - loss: 0.0020 - mse: 1.7422 - val_loss: 0.0090 - val_mse: 7.8081
Epoch 347/1000
0s - loss: 0.0020 - mse: 1.7332 - val_loss: 0.0090 - val_mse: 7.8108
Epoch 348/1000
0s - loss: 0.0020 - mse: 1.7244 - val_loss: 0.0090 - val_mse: 7.8121
Epoch 349/1000
0s - loss: 0.0020 - mse: 1.7156 - val_loss: 0.0090 - val_mse: 7.8107
Epoch 350/1000
0s - loss: 0.0020 - mse: 1.7069 - val_loss: 0.0090 - val_mse: 7.8081
Epoch 351/1000
0s - loss: 0.0020 - mse: 1.6982 - val_loss: 0.0090 - val_mse: 7.8057
Epoch 352/1000

Epoch 00351: reducing learning rate to 0.00168070008513.
0s - loss: 0.0019 - mse: 1.6895 - val_loss: 0.0090 - val_mse: 7.8041
Epoch 353/1000
0s - loss: 0.0019 - mse: 1.6810 - val_loss: 0.0090 - val_mse: 7.8035
Epoch 354/1000
0s - loss: 0.0019 - mse: 1.6750 - val_loss: 0.0090 - val_mse: 7.8035
Epoch 355/1000
0s - loss: 0.0019 - mse: 1.6690 - val_loss: 0.0090 - val_mse: 7.8036
Epoch 356/1000
0s - loss: 0.0019 - mse: 1.6631 - val_loss: 0.0090 - val_mse: 7.8035
Epoch 357/1000
0s - loss: 0.0019 - mse: 1.6571 - val_loss: 0.0090 - val_mse: 7.8026
Epoch 358/1000
0s - loss: 0.0019 - mse: 1.6512 - val_loss: 0.0090 - val_mse: 7.8015
Epoch 359/1000
0s - loss: 0.0019 - mse: 1.6455 - val_loss: 0.0090 - val_mse: 7.8007
Epoch 360/1000
0s - loss: 0.0019 - mse: 1.6398 - val_loss: 0.0090 - val_mse: 7.8004
Epoch 361/1000
0s - loss: 0.0019 - mse: 1.6342 - val_loss: 0.0090 - val_mse: 7.8007
Epoch 362/1000
0s - loss: 0.0019 - mse: 1.6287 - val_loss: 0.0090 - val_mse: 7.8009
Epoch 363/1000
0s - loss: 0.0019 - mse: 1.6232 - val_loss: 0.0090 - val_mse: 7.8004
Epoch 364/1000
0s - loss: 0.0019 - mse: 1.6178 - val_loss: 0.0090 - val_mse: 7.7996
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_68 (LSTM)               (None, None, 250)         253000    
_________________________________________________________________
time_distributed_65 (TimeDis (None, None, 1)           251       
=================================================================
Total params: 253,251
Trainable params: 253,251
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 0.9635 - mse: 839.0684 - val_loss: 0.4927 - val_mse: 429.0824
Epoch 2/1000
0s - loss: 0.4588 - mse: 399.5082 - val_loss: 0.6047 - val_mse: 526.6235
Epoch 3/1000
0s - loss: 0.5803 - mse: 505.3800 - val_loss: 0.4310 - val_mse: 375.3112
Epoch 4/1000
0s - loss: 0.4100 - mse: 357.0021 - val_loss: 1.4106 - val_mse: 1228.4028
Epoch 5/1000
0s - loss: 1.2789 - mse: 1113.7079 - val_loss: 0.3311 - val_mse: 288.2928
Epoch 6/1000
0s - loss: 0.3105 - mse: 270.4366 - val_loss: 0.3909 - val_mse: 340.3718
Epoch 7/1000
0s - loss: 0.3658 - mse: 318.5628 - val_loss: 0.3979 - val_mse: 346.5008
Epoch 8/1000
0s - loss: 0.3781 - mse: 329.3042 - val_loss: 0.3244 - val_mse: 282.4670
Epoch 9/1000
0s - loss: 0.3105 - mse: 270.3890 - val_loss: 0.2406 - val_mse: 209.5569
Epoch 10/1000
0s - loss: 0.2250 - mse: 195.9279 - val_loss: 0.1981 - val_mse: 172.4815
Epoch 11/1000
0s - loss: 0.1743 - mse: 151.8158 - val_loss: 0.2082 - val_mse: 181.3236
Epoch 12/1000
0s - loss: 0.1789 - mse: 155.8193 - val_loss: 0.1811 - val_mse: 157.6782
Epoch 13/1000
0s - loss: 0.1581 - mse: 137.6856 - val_loss: 0.1781 - val_mse: 155.1200
Epoch 14/1000
0s - loss: 0.1655 - mse: 144.1079 - val_loss: 0.1474 - val_mse: 128.3308
Epoch 15/1000
0s - loss: 0.1369 - mse: 119.1877 - val_loss: 0.1144 - val_mse: 99.6275
Epoch 16/1000
0s - loss: 0.1034 - mse: 90.0292 - val_loss: 0.1106 - val_mse: 96.3099
Epoch 17/1000
0s - loss: 0.0995 - mse: 86.6752 - val_loss: 0.1159 - val_mse: 100.8932
Epoch 18/1000
0s - loss: 0.1050 - mse: 91.4205 - val_loss: 0.1173 - val_mse: 102.1278
Epoch 19/1000
0s - loss: 0.1066 - mse: 92.7969 - val_loss: 0.1132 - val_mse: 98.5621
Epoch 20/1000
0s - loss: 0.1027 - mse: 89.4587 - val_loss: 0.1048 - val_mse: 91.2821
Epoch 21/1000
0s - loss: 0.0947 - mse: 82.5042 - val_loss: 0.0945 - val_mse: 82.3328
Epoch 22/1000
0s - loss: 0.0847 - mse: 73.7650 - val_loss: 0.0864 - val_mse: 75.2579
Epoch 23/1000
0s - loss: 0.0763 - mse: 66.4089 - val_loss: 0.0841 - val_mse: 73.2222
Epoch 24/1000
0s - loss: 0.0728 - mse: 63.4017 - val_loss: 0.0853 - val_mse: 74.3081
Epoch 25/1000
0s - loss: 0.0729 - mse: 63.4494 - val_loss: 0.0826 - val_mse: 71.9134
Epoch 26/1000
0s - loss: 0.0703 - mse: 61.2362 - val_loss: 0.0744 - val_mse: 64.7803
Epoch 27/1000
0s - loss: 0.0640 - mse: 55.7071 - val_loss: 0.0667 - val_mse: 58.0941
Epoch 28/1000
0s - loss: 0.0584 - mse: 50.8663 - val_loss: 0.0630 - val_mse: 54.8469
Epoch 29/1000
0s - loss: 0.0561 - mse: 48.8966 - val_loss: 0.0616 - val_mse: 53.6396
Epoch 30/1000
0s - loss: 0.0557 - mse: 48.4941 - val_loss: 0.0596 - val_mse: 51.9050
Epoch 31/1000
0s - loss: 0.0545 - mse: 47.4203 - val_loss: 0.0559 - val_mse: 48.6757
Epoch 32/1000
0s - loss: 0.0515 - mse: 44.8101 - val_loss: 0.0516 - val_mse: 44.9541
Epoch 33/1000
0s - loss: 0.0477 - mse: 41.5202 - val_loss: 0.0486 - val_mse: 42.3046
Epoch 34/1000
0s - loss: 0.0447 - mse: 38.9406 - val_loss: 0.0472 - val_mse: 41.1156
Epoch 35/1000
0s - loss: 0.0431 - mse: 37.5593 - val_loss: 0.0463 - val_mse: 40.3354
Epoch 36/1000
0s - loss: 0.0422 - mse: 36.7323 - val_loss: 0.0447 - val_mse: 38.9281
Epoch 37/1000
0s - loss: 0.0409 - mse: 35.6470 - val_loss: 0.0424 - val_mse: 36.9161
Epoch 38/1000
0s - loss: 0.0392 - mse: 34.1047 - val_loss: 0.0401 - val_mse: 34.9253
Epoch 39/1000
0s - loss: 0.0373 - mse: 32.4774 - val_loss: 0.0384 - val_mse: 33.4199
Epoch 40/1000
0s - loss: 0.0358 - mse: 31.2184 - val_loss: 0.0370 - val_mse: 32.2340
Epoch 41/1000
0s - loss: 0.0347 - mse: 30.2439 - val_loss: 0.0355 - val_mse: 30.9418
Epoch 42/1000
0s - loss: 0.0334 - mse: 29.1262 - val_loss: 0.0341 - val_mse: 29.7068
Epoch 43/1000
0s - loss: 0.0321 - mse: 27.9773 - val_loss: 0.0333 - val_mse: 28.9799
Epoch 44/1000
0s - loss: 0.0313 - mse: 27.2571 - val_loss: 0.0329 - val_mse: 28.6449
Epoch 45/1000
0s - loss: 0.0309 - mse: 26.9290 - val_loss: 0.0324 - val_mse: 28.2372
Epoch 46/1000
0s - loss: 0.0305 - mse: 26.5928 - val_loss: 0.0315 - val_mse: 27.4284
Epoch 47/1000
0s - loss: 0.0297 - mse: 25.9003 - val_loss: 0.0301 - val_mse: 26.2319
Epoch 48/1000
0s - loss: 0.0285 - mse: 24.7986 - val_loss: 0.0288 - val_mse: 25.1136
Epoch 49/1000
0s - loss: 0.0272 - mse: 23.7173 - val_loss: 0.0281 - val_mse: 24.4934
Epoch 50/1000
0s - loss: 0.0265 - mse: 23.0918 - val_loss: 0.0278 - val_mse: 24.2409
Epoch 51/1000
0s - loss: 0.0262 - mse: 22.8143 - val_loss: 0.0276 - val_mse: 24.0081
Epoch 52/1000
0s - loss: 0.0259 - mse: 22.5461 - val_loss: 0.0271 - val_mse: 23.6431
Epoch 53/1000
0s - loss: 0.0254 - mse: 22.1427 - val_loss: 0.0266 - val_mse: 23.1912
Epoch 54/1000
0s - loss: 0.0249 - mse: 21.6651 - val_loss: 0.0262 - val_mse: 22.7988
Epoch 55/1000
0s - loss: 0.0244 - mse: 21.2703 - val_loss: 0.0259 - val_mse: 22.5575
Epoch 56/1000
0s - loss: 0.0242 - mse: 21.0440 - val_loss: 0.0257 - val_mse: 22.3477
Epoch 57/1000
0s - loss: 0.0240 - mse: 20.8599 - val_loss: 0.0253 - val_mse: 21.9983
Epoch 58/1000
0s - loss: 0.0236 - mse: 20.5496 - val_loss: 0.0247 - val_mse: 21.5458
Epoch 59/1000
0s - loss: 0.0231 - mse: 20.1387 - val_loss: 0.0243 - val_mse: 21.1690
Epoch 60/1000
0s - loss: 0.0227 - mse: 19.7870 - val_loss: 0.0240 - val_mse: 20.9397
Epoch 61/1000
0s - loss: 0.0225 - mse: 19.5572 - val_loss: 0.0239 - val_mse: 20.7737
Epoch 62/1000
0s - loss: 0.0222 - mse: 19.3677 - val_loss: 0.0236 - val_mse: 20.5882
Epoch 63/1000
0s - loss: 0.0220 - mse: 19.1412 - val_loss: 0.0234 - val_mse: 20.3750
Epoch 64/1000
0s - loss: 0.0217 - mse: 18.8706 - val_loss: 0.0232 - val_mse: 20.1741
Epoch 65/1000
0s - loss: 0.0214 - mse: 18.5962 - val_loss: 0.0230 - val_mse: 20.0118
Epoch 66/1000
0s - loss: 0.0211 - mse: 18.3486 - val_loss: 0.0228 - val_mse: 19.8553
Epoch 67/1000
0s - loss: 0.0208 - mse: 18.1024 - val_loss: 0.0226 - val_mse: 19.6783
Epoch 68/1000
0s - loss: 0.0205 - mse: 17.8349 - val_loss: 0.0224 - val_mse: 19.5208
Epoch 69/1000
0s - loss: 0.0202 - mse: 17.5809 - val_loss: 0.0223 - val_mse: 19.4129
Epoch 70/1000
0s - loss: 0.0199 - mse: 17.3641 - val_loss: 0.0222 - val_mse: 19.3451
Epoch 71/1000
0s - loss: 0.0197 - mse: 17.1735 - val_loss: 0.0221 - val_mse: 19.2854
Epoch 72/1000
0s - loss: 0.0195 - mse: 16.9876 - val_loss: 0.0220 - val_mse: 19.1944
Epoch 73/1000
0s - loss: 0.0193 - mse: 16.7883 - val_loss: 0.0219 - val_mse: 19.0595
Epoch 74/1000
0s - loss: 0.0190 - mse: 16.5797 - val_loss: 0.0217 - val_mse: 18.8965
Epoch 75/1000
0s - loss: 0.0188 - mse: 16.3782 - val_loss: 0.0215 - val_mse: 18.7137
Epoch 76/1000
0s - loss: 0.0186 - mse: 16.1822 - val_loss: 0.0213 - val_mse: 18.5274
Epoch 77/1000
0s - loss: 0.0184 - mse: 15.9943 - val_loss: 0.0211 - val_mse: 18.3637
Epoch 78/1000
0s - loss: 0.0182 - mse: 15.8234 - val_loss: 0.0209 - val_mse: 18.2283
Epoch 79/1000
0s - loss: 0.0180 - mse: 15.6568 - val_loss: 0.0208 - val_mse: 18.1160
Epoch 80/1000
0s - loss: 0.0178 - mse: 15.4811 - val_loss: 0.0207 - val_mse: 18.0279
Epoch 81/1000
0s - loss: 0.0176 - mse: 15.3051 - val_loss: 0.0206 - val_mse: 17.9596
Epoch 82/1000
0s - loss: 0.0174 - mse: 15.1389 - val_loss: 0.0205 - val_mse: 17.8917
Epoch 83/1000
0s - loss: 0.0172 - mse: 14.9779 - val_loss: 0.0204 - val_mse: 17.8002
Epoch 84/1000
0s - loss: 0.0170 - mse: 14.8073 - val_loss: 0.0203 - val_mse: 17.6812
Epoch 85/1000
0s - loss: 0.0168 - mse: 14.6254 - val_loss: 0.0202 - val_mse: 17.5588
Epoch 86/1000
0s - loss: 0.0166 - mse: 14.4507 - val_loss: 0.0200 - val_mse: 17.4456
Epoch 87/1000
0s - loss: 0.0164 - mse: 14.2878 - val_loss: 0.0199 - val_mse: 17.3259
Epoch 88/1000
0s - loss: 0.0162 - mse: 14.1187 - val_loss: 0.0197 - val_mse: 17.1945
Epoch 89/1000
0s - loss: 0.0160 - mse: 13.9385 - val_loss: 0.0196 - val_mse: 17.0628
Epoch 90/1000
0s - loss: 0.0158 - mse: 13.7596 - val_loss: 0.0194 - val_mse: 16.9325
Epoch 91/1000
0s - loss: 0.0156 - mse: 13.5835 - val_loss: 0.0193 - val_mse: 16.7888
Epoch 92/1000
0s - loss: 0.0154 - mse: 13.3994 - val_loss: 0.0191 - val_mse: 16.6314
Epoch 93/1000
0s - loss: 0.0152 - mse: 13.2105 - val_loss: 0.0189 - val_mse: 16.4719
Epoch 94/1000
0s - loss: 0.0150 - mse: 13.0293 - val_loss: 0.0187 - val_mse: 16.3128
Epoch 95/1000
0s - loss: 0.0148 - mse: 12.8513 - val_loss: 0.0185 - val_mse: 16.1479
Epoch 96/1000
0s - loss: 0.0145 - mse: 12.6599 - val_loss: 0.0184 - val_mse: 15.9888
Epoch 97/1000
0s - loss: 0.0143 - mse: 12.4639 - val_loss: 0.0182 - val_mse: 15.8415
Epoch 98/1000
0s - loss: 0.0141 - mse: 12.2754 - val_loss: 0.0180 - val_mse: 15.6870
Epoch 99/1000
0s - loss: 0.0139 - mse: 12.0848 - val_loss: 0.0178 - val_mse: 15.5289
Epoch 100/1000
0s - loss: 0.0137 - mse: 11.8929 - val_loss: 0.0177 - val_mse: 15.3907
Epoch 101/1000
0s - loss: 0.0134 - mse: 11.7122 - val_loss: 0.0175 - val_mse: 15.2742
Epoch 102/1000
0s - loss: 0.0132 - mse: 11.5323 - val_loss: 0.0174 - val_mse: 15.1750
Epoch 103/1000
0s - loss: 0.0130 - mse: 11.3502 - val_loss: 0.0173 - val_mse: 15.0891
Epoch 104/1000
0s - loss: 0.0128 - mse: 11.1772 - val_loss: 0.0172 - val_mse: 14.9898
Epoch 105/1000
0s - loss: 0.0126 - mse: 11.0070 - val_loss: 0.0171 - val_mse: 14.8650
Epoch 106/1000
0s - loss: 0.0124 - mse: 10.8362 - val_loss: 0.0169 - val_mse: 14.7367
Epoch 107/1000
0s - loss: 0.0123 - mse: 10.6723 - val_loss: 0.0168 - val_mse: 14.6138
Epoch 108/1000
0s - loss: 0.0121 - mse: 10.5045 - val_loss: 0.0166 - val_mse: 14.4991
Epoch 109/1000
0s - loss: 0.0119 - mse: 10.3389 - val_loss: 0.0165 - val_mse: 14.3829
Epoch 110/1000
0s - loss: 0.0117 - mse: 10.1778 - val_loss: 0.0164 - val_mse: 14.2606
Epoch 111/1000
0s - loss: 0.0115 - mse: 10.0182 - val_loss: 0.0163 - val_mse: 14.1537
Epoch 112/1000
0s - loss: 0.0113 - mse: 9.8648 - val_loss: 0.0162 - val_mse: 14.0701
Epoch 113/1000
0s - loss: 0.0112 - mse: 9.7114 - val_loss: 0.0161 - val_mse: 13.9916
Epoch 114/1000
0s - loss: 0.0110 - mse: 9.5649 - val_loss: 0.0159 - val_mse: 13.8840
Epoch 115/1000
0s - loss: 0.0108 - mse: 9.4203 - val_loss: 0.0158 - val_mse: 13.7601
Epoch 116/1000
0s - loss: 0.0107 - mse: 9.2765 - val_loss: 0.0157 - val_mse: 13.6496
Epoch 117/1000
0s - loss: 0.0105 - mse: 9.1327 - val_loss: 0.0155 - val_mse: 13.5338
Epoch 118/1000
0s - loss: 0.0103 - mse: 8.9899 - val_loss: 0.0154 - val_mse: 13.3962
Epoch 119/1000
0s - loss: 0.0102 - mse: 8.8494 - val_loss: 0.0152 - val_mse: 13.2629
Epoch 120/1000
0s - loss: 0.0100 - mse: 8.7126 - val_loss: 0.0151 - val_mse: 13.1508
Epoch 121/1000
0s - loss: 0.0099 - mse: 8.5795 - val_loss: 0.0150 - val_mse: 13.0290
Epoch 122/1000
0s - loss: 0.0097 - mse: 8.4522 - val_loss: 0.0148 - val_mse: 12.9019
Epoch 123/1000
0s - loss: 0.0096 - mse: 8.3311 - val_loss: 0.0147 - val_mse: 12.7870
Epoch 124/1000
0s - loss: 0.0094 - mse: 8.2153 - val_loss: 0.0145 - val_mse: 12.6652
Epoch 125/1000
0s - loss: 0.0093 - mse: 8.1050 - val_loss: 0.0144 - val_mse: 12.5181
Epoch 126/1000
0s - loss: 0.0092 - mse: 7.9983 - val_loss: 0.0142 - val_mse: 12.3942
Epoch 127/1000
0s - loss: 0.0091 - mse: 7.8943 - val_loss: 0.0141 - val_mse: 12.2870
Epoch 128/1000
0s - loss: 0.0089 - mse: 7.7938 - val_loss: 0.0139 - val_mse: 12.1480
Epoch 129/1000
0s - loss: 0.0088 - mse: 7.6940 - val_loss: 0.0138 - val_mse: 12.0491
Epoch 130/1000
0s - loss: 0.0087 - mse: 7.5963 - val_loss: 0.0137 - val_mse: 11.9480
Epoch 131/1000
0s - loss: 0.0086 - mse: 7.5004 - val_loss: 0.0136 - val_mse: 11.8161
Epoch 132/1000
0s - loss: 0.0085 - mse: 7.4045 - val_loss: 0.0134 - val_mse: 11.7010
Epoch 133/1000
0s - loss: 0.0084 - mse: 7.3099 - val_loss: 0.0133 - val_mse: 11.5954
Epoch 134/1000
0s - loss: 0.0083 - mse: 7.2170 - val_loss: 0.0132 - val_mse: 11.4687
Epoch 135/1000
0s - loss: 0.0082 - mse: 7.1318 - val_loss: 0.0131 - val_mse: 11.4112
Epoch 136/1000
0s - loss: 0.0081 - mse: 7.0590 - val_loss: 0.0130 - val_mse: 11.3131
Epoch 137/1000
0s - loss: 0.0081 - mse: 7.0256 - val_loss: 0.0131 - val_mse: 11.4265
Epoch 138/1000
0s - loss: 0.0082 - mse: 7.1350 - val_loss: 0.0137 - val_mse: 11.9635
Epoch 139/1000
0s - loss: 0.0089 - mse: 7.7297 - val_loss: 0.0153 - val_mse: 13.2808
Epoch 140/1000
0s - loss: 0.0106 - mse: 9.2212 - val_loss: 0.0175 - val_mse: 15.2726
Epoch 141/1000

Epoch 00140: reducing learning rate to 0.00699999984354.
4s - loss: 0.0129 - mse: 11.2758 - val_loss: 0.0136 - val_mse: 11.8847
Epoch 142/1000
0s - loss: 0.0092 - mse: 8.0040 - val_loss: 0.0130 - val_mse: 11.3396
Epoch 143/1000
0s - loss: 0.0090 - mse: 7.8657 - val_loss: 0.0131 - val_mse: 11.4190
Epoch 144/1000
0s - loss: 0.0088 - mse: 7.6348 - val_loss: 0.0130 - val_mse: 11.3315
Epoch 145/1000
0s - loss: 0.0087 - mse: 7.5886 - val_loss: 0.0124 - val_mse: 10.7620
Epoch 146/1000
0s - loss: 0.0081 - mse: 7.0734 - val_loss: 0.0128 - val_mse: 11.1331
Epoch 147/1000
0s - loss: 0.0087 - mse: 7.5736 - val_loss: 0.0120 - val_mse: 10.4668
Epoch 148/1000
0s - loss: 0.0076 - mse: 6.6533 - val_loss: 0.0130 - val_mse: 11.2855
Epoch 149/1000
0s - loss: 0.0084 - mse: 7.3035 - val_loss: 0.0121 - val_mse: 10.5084
Epoch 150/1000
0s - loss: 0.0076 - mse: 6.6049 - val_loss: 0.0121 - val_mse: 10.5763
Epoch 151/1000
0s - loss: 0.0078 - mse: 6.7909 - val_loss: 0.0120 - val_mse: 10.4275
Epoch 152/1000
0s - loss: 0.0077 - mse: 6.6958 - val_loss: 0.0118 - val_mse: 10.2907
Epoch 153/1000
0s - loss: 0.0073 - mse: 6.3654 - val_loss: 0.0122 - val_mse: 10.6673
Epoch 154/1000
0s - loss: 0.0077 - mse: 6.6764 - val_loss: 0.0116 - val_mse: 10.0907
Epoch 155/1000
0s - loss: 0.0071 - mse: 6.1648 - val_loss: 0.0118 - val_mse: 10.2761
Epoch 156/1000
0s - loss: 0.0074 - mse: 6.4417 - val_loss: 0.0115 - val_mse: 10.0075
Epoch 157/1000
0s - loss: 0.0070 - mse: 6.1172 - val_loss: 0.0117 - val_mse: 10.1783
Epoch 158/1000
0s - loss: 0.0070 - mse: 6.0954 - val_loss: 0.0118 - val_mse: 10.2417
Epoch 159/1000
0s - loss: 0.0070 - mse: 6.1111 - val_loss: 0.0113 - val_mse: 9.8440
Epoch 160/1000
0s - loss: 0.0067 - mse: 5.8155 - val_loss: 0.0114 - val_mse: 9.9550
Epoch 161/1000
0s - loss: 0.0069 - mse: 6.0062 - val_loss: 0.0111 - val_mse: 9.6930
Epoch 162/1000
0s - loss: 0.0065 - mse: 5.6664 - val_loss: 0.0114 - val_mse: 9.8976
Epoch 163/1000
0s - loss: 0.0066 - mse: 5.7847 - val_loss: 0.0111 - val_mse: 9.6531
Epoch 164/1000
0s - loss: 0.0064 - mse: 5.5829 - val_loss: 0.0109 - val_mse: 9.4973
Epoch 165/1000
0s - loss: 0.0064 - mse: 5.5518 - val_loss: 0.0108 - val_mse: 9.4280
Epoch 166/1000
0s - loss: 0.0063 - mse: 5.4835 - val_loss: 0.0108 - val_mse: 9.3768
Epoch 167/1000
0s - loss: 0.0061 - mse: 5.3498 - val_loss: 0.0108 - val_mse: 9.3935
Epoch 168/1000
0s - loss: 0.0061 - mse: 5.3315 - val_loss: 0.0106 - val_mse: 9.1977
Epoch 169/1000
0s - loss: 0.0060 - mse: 5.1815 - val_loss: 0.0105 - val_mse: 9.1817
Epoch 170/1000
0s - loss: 0.0059 - mse: 5.1496 - val_loss: 0.0105 - val_mse: 9.1460
Epoch 171/1000
0s - loss: 0.0058 - mse: 5.0213 - val_loss: 0.0104 - val_mse: 9.0869
Epoch 172/1000
0s - loss: 0.0057 - mse: 4.9584 - val_loss: 0.0102 - val_mse: 8.9094
Epoch 173/1000
0s - loss: 0.0056 - mse: 4.8408 - val_loss: 0.0102 - val_mse: 8.8442
Epoch 174/1000
0s - loss: 0.0055 - mse: 4.7548 - val_loss: 0.0101 - val_mse: 8.8243
Epoch 175/1000
0s - loss: 0.0053 - mse: 4.6582 - val_loss: 0.0099 - val_mse: 8.6435
Epoch 176/1000
0s - loss: 0.0052 - mse: 4.5433 - val_loss: 0.0097 - val_mse: 8.4438
Epoch 177/1000
0s - loss: 0.0051 - mse: 4.4622 - val_loss: 0.0096 - val_mse: 8.3587
Epoch 178/1000
0s - loss: 0.0049 - mse: 4.3100 - val_loss: 0.0096 - val_mse: 8.3991
Epoch 179/1000
0s - loss: 0.0049 - mse: 4.2435 - val_loss: 0.0094 - val_mse: 8.1618
Epoch 180/1000
0s - loss: 0.0047 - mse: 4.0771 - val_loss: 0.0092 - val_mse: 7.9725
Epoch 181/1000
0s - loss: 0.0046 - mse: 3.9859 - val_loss: 0.0091 - val_mse: 7.9136
Epoch 182/1000
0s - loss: 0.0044 - mse: 3.8588 - val_loss: 0.0089 - val_mse: 7.7819
Epoch 183/1000
0s - loss: 0.0043 - mse: 3.7091 - val_loss: 0.0087 - val_mse: 7.6065
Epoch 184/1000
0s - loss: 0.0041 - mse: 3.6063 - val_loss: 0.0086 - val_mse: 7.4776
Epoch 185/1000
0s - loss: 0.0040 - mse: 3.4828 - val_loss: 0.0084 - val_mse: 7.3089
Epoch 186/1000
0s - loss: 0.0038 - mse: 3.3231 - val_loss: 0.0083 - val_mse: 7.2469
Epoch 187/1000
0s - loss: 0.0037 - mse: 3.2300 - val_loss: 0.0082 - val_mse: 7.1537
Epoch 188/1000
0s - loss: 0.0036 - mse: 3.1250 - val_loss: 0.0079 - val_mse: 6.9169
Epoch 189/1000
0s - loss: 0.0034 - mse: 2.9917 - val_loss: 0.0079 - val_mse: 6.8455
Epoch 190/1000
0s - loss: 0.0033 - mse: 2.8557 - val_loss: 0.0078 - val_mse: 6.7690
Epoch 191/1000
0s - loss: 0.0032 - mse: 2.7437 - val_loss: 0.0076 - val_mse: 6.6359
Epoch 192/1000
0s - loss: 0.0031 - mse: 2.6566 - val_loss: 0.0076 - val_mse: 6.6424
Epoch 193/1000
0s - loss: 0.0030 - mse: 2.5771 - val_loss: 0.0075 - val_mse: 6.5315
Epoch 194/1000
0s - loss: 0.0029 - mse: 2.4930 - val_loss: 0.0076 - val_mse: 6.5861
Epoch 195/1000
0s - loss: 0.0028 - mse: 2.4461 - val_loss: 0.0075 - val_mse: 6.5105
Epoch 196/1000
0s - loss: 0.0028 - mse: 2.4437 - val_loss: 0.0078 - val_mse: 6.7520
Epoch 197/1000
0s - loss: 0.0029 - mse: 2.5650 - val_loss: 0.0081 - val_mse: 7.0232
Epoch 198/1000

Epoch 00197: reducing learning rate to 0.00489999982528.
0s - loss: 0.0034 - mse: 2.9482 - val_loss: 0.0094 - val_mse: 8.1841
Epoch 199/1000
0s - loss: 0.0045 - mse: 3.8941 - val_loss: 0.0077 - val_mse: 6.7100
Epoch 200/1000
0s - loss: 0.0030 - mse: 2.5701 - val_loss: 0.0076 - val_mse: 6.5789
Epoch 201/1000
0s - loss: 0.0029 - mse: 2.5129 - val_loss: 0.0083 - val_mse: 7.2641
Epoch 202/1000
0s - loss: 0.0035 - mse: 3.0541 - val_loss: 0.0071 - val_mse: 6.1902
Epoch 203/1000
0s - loss: 0.0023 - mse: 1.9727 - val_loss: 0.0080 - val_mse: 6.9281
Epoch 204/1000
0s - loss: 0.0033 - mse: 2.8843 - val_loss: 0.0071 - val_mse: 6.2104
Epoch 205/1000
0s - loss: 0.0022 - mse: 1.9539 - val_loss: 0.0077 - val_mse: 6.7200
Epoch 206/1000
0s - loss: 0.0029 - mse: 2.4992 - val_loss: 0.0070 - val_mse: 6.0667
Epoch 207/1000
0s - loss: 0.0023 - mse: 1.9977 - val_loss: 0.0072 - val_mse: 6.2734
Epoch 208/1000
0s - loss: 0.0025 - mse: 2.1570 - val_loss: 0.0072 - val_mse: 6.3021
Epoch 209/1000
0s - loss: 0.0023 - mse: 2.0231 - val_loss: 0.0071 - val_mse: 6.1492
Epoch 210/1000
0s - loss: 0.0022 - mse: 1.9530 - val_loss: 0.0069 - val_mse: 5.9911
Epoch 211/1000
0s - loss: 0.0023 - mse: 2.0036 - val_loss: 0.0068 - val_mse: 5.9044
Epoch 212/1000
0s - loss: 0.0020 - mse: 1.7803 - val_loss: 0.0071 - val_mse: 6.1855
Epoch 213/1000
0s - loss: 0.0022 - mse: 1.9214 - val_loss: 0.0067 - val_mse: 5.8773
Epoch 214/1000
0s - loss: 0.0019 - mse: 1.6813 - val_loss: 0.0068 - val_mse: 5.8812
Epoch 215/1000
0s - loss: 0.0021 - mse: 1.8560 - val_loss: 0.0066 - val_mse: 5.7448
Epoch 216/1000
0s - loss: 0.0018 - mse: 1.6060 - val_loss: 0.0069 - val_mse: 5.9689
Epoch 217/1000
0s - loss: 0.0020 - mse: 1.7622 - val_loss: 0.0065 - val_mse: 5.6779
Epoch 218/1000
0s - loss: 0.0018 - mse: 1.5455 - val_loss: 0.0066 - val_mse: 5.7269
Epoch 219/1000
0s - loss: 0.0019 - mse: 1.6827 - val_loss: 0.0065 - val_mse: 5.6664
Epoch 220/1000

Epoch 00219: reducing learning rate to 0.00343000004068.
0s - loss: 0.0017 - mse: 1.5089 - val_loss: 0.0066 - val_mse: 5.7681
Epoch 221/1000
0s - loss: 0.0018 - mse: 1.5960 - val_loss: 0.0064 - val_mse: 5.5595
Epoch 222/1000
0s - loss: 0.0017 - mse: 1.4531 - val_loss: 0.0064 - val_mse: 5.5914
Epoch 223/1000
0s - loss: 0.0018 - mse: 1.5471 - val_loss: 0.0064 - val_mse: 5.5459
Epoch 224/1000
0s - loss: 0.0017 - mse: 1.4427 - val_loss: 0.0065 - val_mse: 5.6443
Epoch 225/1000
0s - loss: 0.0017 - mse: 1.4680 - val_loss: 0.0065 - val_mse: 5.6202
Epoch 226/1000
0s - loss: 0.0017 - mse: 1.4502 - val_loss: 0.0063 - val_mse: 5.5013
Epoch 227/1000
0s - loss: 0.0016 - mse: 1.3976 - val_loss: 0.0063 - val_mse: 5.5179
Epoch 228/1000
0s - loss: 0.0017 - mse: 1.4381 - val_loss: 0.0063 - val_mse: 5.5109
Epoch 229/1000
0s - loss: 0.0016 - mse: 1.3596 - val_loss: 0.0064 - val_mse: 5.6064
Epoch 230/1000
0s - loss: 0.0016 - mse: 1.3995 - val_loss: 0.0064 - val_mse: 5.5384
Epoch 231/1000
0s - loss: 0.0015 - mse: 1.3465 - val_loss: 0.0063 - val_mse: 5.4850
Epoch 232/1000
0s - loss: 0.0015 - mse: 1.3498 - val_loss: 0.0063 - val_mse: 5.4716
Epoch 233/1000
0s - loss: 0.0015 - mse: 1.3373 - val_loss: 0.0063 - val_mse: 5.5031
Epoch 234/1000
0s - loss: 0.0015 - mse: 1.3080 - val_loss: 0.0064 - val_mse: 5.5551
Epoch 235/1000
0s - loss: 0.0015 - mse: 1.3188 - val_loss: 0.0063 - val_mse: 5.5031
Epoch 236/1000
0s - loss: 0.0015 - mse: 1.2810 - val_loss: 0.0063 - val_mse: 5.4766
Epoch 237/1000

Epoch 00236: reducing learning rate to 0.00240100002848.
0s - loss: 0.0015 - mse: 1.2901 - val_loss: 0.0063 - val_mse: 5.4652
Epoch 238/1000
0s - loss: 0.0015 - mse: 1.2636 - val_loss: 0.0063 - val_mse: 5.4868
Epoch 239/1000
0s - loss: 0.0014 - mse: 1.2537 - val_loss: 0.0063 - val_mse: 5.5119
Epoch 240/1000
0s - loss: 0.0014 - mse: 1.2534 - val_loss: 0.0063 - val_mse: 5.5007
Epoch 241/1000
0s - loss: 0.0014 - mse: 1.2396 - val_loss: 0.0063 - val_mse: 5.4778
Epoch 242/1000
0s - loss: 0.0014 - mse: 1.2316 - val_loss: 0.0063 - val_mse: 5.4689
Epoch 243/1000
0s - loss: 0.0014 - mse: 1.2294 - val_loss: 0.0063 - val_mse: 5.4689
Epoch 244/1000
0s - loss: 0.0014 - mse: 1.2169 - val_loss: 0.0063 - val_mse: 5.4822
Epoch 245/1000
0s - loss: 0.0014 - mse: 1.2103 - val_loss: 0.0063 - val_mse: 5.4898
Epoch 246/1000
0s - loss: 0.0014 - mse: 1.2069 - val_loss: 0.0063 - val_mse: 5.4720
Epoch 247/1000
0s - loss: 0.0014 - mse: 1.1952 - val_loss: 0.0063 - val_mse: 5.4555
Epoch 248/1000
0s - loss: 0.0014 - mse: 1.1900 - val_loss: 0.0063 - val_mse: 5.4516
Epoch 249/1000
0s - loss: 0.0014 - mse: 1.1854 - val_loss: 0.0063 - val_mse: 5.4538
Epoch 250/1000
0s - loss: 0.0013 - mse: 1.1746 - val_loss: 0.0063 - val_mse: 5.4643
Epoch 251/1000

Epoch 00250: reducing learning rate to 0.00168070008513.
0s - loss: 0.0013 - mse: 1.1708 - val_loss: 0.0063 - val_mse: 5.4608
Epoch 252/1000
0s - loss: 0.0013 - mse: 1.1648 - val_loss: 0.0063 - val_mse: 5.4475
Epoch 253/1000
0s - loss: 0.0013 - mse: 1.1575 - val_loss: 0.0062 - val_mse: 5.4384
Epoch 254/1000
0s - loss: 0.0013 - mse: 1.1543 - val_loss: 0.0062 - val_mse: 5.4351
Epoch 255/1000
0s - loss: 0.0013 - mse: 1.1515 - val_loss: 0.0062 - val_mse: 5.4350
Epoch 256/1000
0s - loss: 0.0013 - mse: 1.1453 - val_loss: 0.0062 - val_mse: 5.4395
Epoch 257/1000
0s - loss: 0.0013 - mse: 1.1409 - val_loss: 0.0062 - val_mse: 5.4424
Epoch 258/1000
0s - loss: 0.0013 - mse: 1.1380 - val_loss: 0.0062 - val_mse: 5.4374
Epoch 259/1000
0s - loss: 0.0013 - mse: 1.1332 - val_loss: 0.0062 - val_mse: 5.4283
Epoch 260/1000
0s - loss: 0.0013 - mse: 1.1283 - val_loss: 0.0062 - val_mse: 5.4225
Epoch 261/1000
0s - loss: 0.0013 - mse: 1.1249 - val_loss: 0.0062 - val_mse: 5.4209
Epoch 262/1000
0s - loss: 0.0013 - mse: 1.1209 - val_loss: 0.0062 - val_mse: 5.4232
Epoch 263/1000
0s - loss: 0.0013 - mse: 1.1163 - val_loss: 0.0062 - val_mse: 5.4268
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_69 (LSTM)               (None, None, 300)         363600    
_________________________________________________________________
time_distributed_66 (TimeDis (None, None, 1)           301       
=================================================================
Total params: 363,901
Trainable params: 363,901
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 0.9170 - mse: 798.5510 - val_loss: 0.8931 - val_mse: 777.7495
Epoch 2/1000
0s - loss: 0.8757 - mse: 762.5922 - val_loss: 0.7370 - val_mse: 641.8371
Epoch 3/1000
0s - loss: 0.7000 - mse: 609.5845 - val_loss: 0.7261 - val_mse: 632.3378
Epoch 4/1000
0s - loss: 0.6942 - mse: 604.5554 - val_loss: 0.5673 - val_mse: 494.0233
Epoch 5/1000
0s - loss: 0.5422 - mse: 472.1487 - val_loss: 0.3308 - val_mse: 288.1050
Epoch 6/1000
0s - loss: 0.3070 - mse: 267.3444 - val_loss: 0.4779 - val_mse: 416.1436
Epoch 7/1000
0s - loss: 0.4632 - mse: 403.3993 - val_loss: 0.3262 - val_mse: 284.0400
Epoch 8/1000
0s - loss: 0.3241 - mse: 282.2263 - val_loss: 0.2727 - val_mse: 237.4731
Epoch 9/1000
0s - loss: 0.2622 - mse: 228.3368 - val_loss: 0.2551 - val_mse: 222.1876
Epoch 10/1000
0s - loss: 0.2414 - mse: 210.1838 - val_loss: 0.2208 - val_mse: 192.3170
Epoch 11/1000
0s - loss: 0.2085 - mse: 181.5340 - val_loss: 0.1722 - val_mse: 149.9648
Epoch 12/1000
0s - loss: 0.1623 - mse: 141.3564 - val_loss: 0.1323 - val_mse: 115.2125
Epoch 13/1000
1s - loss: 0.1255 - mse: 109.3324 - val_loss: 0.1249 - val_mse: 108.7889
Epoch 14/1000
1s - loss: 0.1165 - mse: 101.4150 - val_loss: 0.1365 - val_mse: 118.9016
Epoch 15/1000
0s - loss: 0.1220 - mse: 106.2790 - val_loss: 0.1294 - val_mse: 112.6820
Epoch 16/1000
1s - loss: 0.1145 - mse: 99.7101 - val_loss: 0.0984 - val_mse: 85.6778
Epoch 17/1000
1s - loss: 0.0868 - mse: 75.5701 - val_loss: 0.0985 - val_mse: 85.7816
Epoch 18/1000
0s - loss: 0.0879 - mse: 76.5392 - val_loss: 0.1047 - val_mse: 91.1632
Epoch 19/1000
0s - loss: 0.0942 - mse: 82.0458 - val_loss: 0.1034 - val_mse: 90.0018
Epoch 20/1000
0s - loss: 0.0932 - mse: 81.1757 - val_loss: 0.0962 - val_mse: 83.7387
Epoch 21/1000
0s - loss: 0.0867 - mse: 75.4857 - val_loss: 0.0886 - val_mse: 77.1483
Epoch 22/1000
0s - loss: 0.0797 - mse: 69.4384 - val_loss: 0.0827 - val_mse: 71.9947
Epoch 23/1000
0s - loss: 0.0740 - mse: 64.4547 - val_loss: 0.0787 - val_mse: 68.5427
Epoch 24/1000
0s - loss: 0.0699 - mse: 60.8545 - val_loss: 0.0760 - val_mse: 66.1897
Epoch 25/1000
0s - loss: 0.0672 - mse: 58.4835 - val_loss: 0.0732 - val_mse: 63.7041
Epoch 26/1000
0s - loss: 0.0652 - mse: 56.8011 - val_loss: 0.0730 - val_mse: 63.5463
Epoch 27/1000
0s - loss: 0.0664 - mse: 57.8627 - val_loss: 0.0679 - val_mse: 59.1440
Epoch 28/1000
0s - loss: 0.0615 - mse: 53.5700 - val_loss: 0.0642 - val_mse: 55.9101
Epoch 29/1000
0s - loss: 0.0587 - mse: 51.1345 - val_loss: 0.0600 - val_mse: 52.2145
Epoch 30/1000
0s - loss: 0.0552 - mse: 48.0473 - val_loss: 0.0573 - val_mse: 49.8989
Epoch 31/1000
0s - loss: 0.0530 - mse: 46.1815 - val_loss: 0.0554 - val_mse: 48.2835
Epoch 32/1000
0s - loss: 0.0518 - mse: 45.0669 - val_loss: 0.0532 - val_mse: 46.3516
Epoch 33/1000
0s - loss: 0.0501 - mse: 43.6191 - val_loss: 0.0512 - val_mse: 44.6213
Epoch 34/1000
0s - loss: 0.0485 - mse: 42.2618 - val_loss: 0.0498 - val_mse: 43.3783
Epoch 35/1000
0s - loss: 0.0475 - mse: 41.3229 - val_loss: 0.0476 - val_mse: 41.4109
Epoch 36/1000
0s - loss: 0.0455 - mse: 39.6000 - val_loss: 0.0441 - val_mse: 38.3945
Epoch 37/1000
0s - loss: 0.0422 - mse: 36.7140 - val_loss: 0.0418 - val_mse: 36.3764
Epoch 38/1000
0s - loss: 0.0399 - mse: 34.7575 - val_loss: 0.0416 - val_mse: 36.2630
Epoch 39/1000
1s - loss: 0.0399 - mse: 34.7606 - val_loss: 0.0405 - val_mse: 35.2313
Epoch 40/1000
1s - loss: 0.0390 - mse: 33.9276 - val_loss: 0.0391 - val_mse: 34.0841
Epoch 41/1000
1s - loss: 0.0378 - mse: 32.9316 - val_loss: 0.0391 - val_mse: 34.0842
Epoch 42/1000
1s - loss: 0.0379 - mse: 33.0177 - val_loss: 0.0377 - val_mse: 32.8700
Epoch 43/1000
0s - loss: 0.0366 - mse: 31.8852 - val_loss: 0.0359 - val_mse: 31.2606
Epoch 44/1000
1s - loss: 0.0348 - mse: 30.3363 - val_loss: 0.0353 - val_mse: 30.7298
Epoch 45/1000
0s - loss: 0.0341 - mse: 29.6620 - val_loss: 0.0347 - val_mse: 30.2240
Epoch 46/1000
0s - loss: 0.0330 - mse: 28.7719 - val_loss: 0.0345 - val_mse: 30.0211
Epoch 47/1000
0s - loss: 0.0324 - mse: 28.1763 - val_loss: 0.0347 - val_mse: 30.2320
Epoch 48/1000
1s - loss: 0.0323 - mse: 28.1386 - val_loss: 0.0342 - val_mse: 29.7627
Epoch 49/1000
0s - loss: 0.0317 - mse: 27.5965 - val_loss: 0.0331 - val_mse: 28.7971
Epoch 50/1000
0s - loss: 0.0308 - mse: 26.7860 - val_loss: 0.0321 - val_mse: 27.9813
Epoch 51/1000
0s - loss: 0.0302 - mse: 26.2932 - val_loss: 0.0312 - val_mse: 27.1575
Epoch 52/1000
0s - loss: 0.0295 - mse: 25.7266 - val_loss: 0.0304 - val_mse: 26.5140
Epoch 53/1000
0s - loss: 0.0289 - mse: 25.1672 - val_loss: 0.0303 - val_mse: 26.3840
Epoch 54/1000
0s - loss: 0.0288 - mse: 25.0370 - val_loss: 0.0301 - val_mse: 26.2192
Epoch 55/1000
0s - loss: 0.0285 - mse: 24.8604 - val_loss: 0.0295 - val_mse: 25.7158
Epoch 56/1000
0s - loss: 0.0280 - mse: 24.3480 - val_loss: 0.0291 - val_mse: 25.3334
Epoch 57/1000
1s - loss: 0.0275 - mse: 23.9608 - val_loss: 0.0289 - val_mse: 25.1344
Epoch 58/1000
0s - loss: 0.0273 - mse: 23.7415 - val_loss: 0.0284 - val_mse: 24.7681
Epoch 59/1000
0s - loss: 0.0268 - mse: 23.3330 - val_loss: 0.0280 - val_mse: 24.3874
Epoch 60/1000
1s - loss: 0.0263 - mse: 22.9359 - val_loss: 0.0278 - val_mse: 24.1726
Epoch 61/1000
0s - loss: 0.0261 - mse: 22.7566 - val_loss: 0.0274 - val_mse: 23.9004
Epoch 62/1000
0s - loss: 0.0259 - mse: 22.5465 - val_loss: 0.0270 - val_mse: 23.4992
Epoch 63/1000
0s - loss: 0.0255 - mse: 22.2066 - val_loss: 0.0266 - val_mse: 23.1438
Epoch 64/1000
0s - loss: 0.0251 - mse: 21.8855 - val_loss: 0.0263 - val_mse: 22.8875
Epoch 65/1000
0s - loss: 0.0248 - mse: 21.6081 - val_loss: 0.0261 - val_mse: 22.6970
Epoch 66/1000
0s - loss: 0.0245 - mse: 21.3566 - val_loss: 0.0259 - val_mse: 22.5271
Epoch 67/1000
0s - loss: 0.0243 - mse: 21.1531 - val_loss: 0.0256 - val_mse: 22.2732
Epoch 68/1000
0s - loss: 0.0240 - mse: 20.9318 - val_loss: 0.0252 - val_mse: 21.9613
Epoch 69/1000
0s - loss: 0.0238 - mse: 20.6910 - val_loss: 0.0249 - val_mse: 21.6723
Epoch 70/1000
0s - loss: 0.0235 - mse: 20.4512 - val_loss: 0.0246 - val_mse: 21.4033
Epoch 71/1000
0s - loss: 0.0232 - mse: 20.1794 - val_loss: 0.0244 - val_mse: 21.2139
Epoch 72/1000
0s - loss: 0.0229 - mse: 19.9580 - val_loss: 0.0242 - val_mse: 21.0520
Epoch 73/1000
0s - loss: 0.0227 - mse: 19.7703 - val_loss: 0.0239 - val_mse: 20.8226
Epoch 74/1000
0s - loss: 0.0224 - mse: 19.5345 - val_loss: 0.0236 - val_mse: 20.5866
Epoch 75/1000
0s - loss: 0.0222 - mse: 19.3098 - val_loss: 0.0234 - val_mse: 20.3555
Epoch 76/1000
0s - loss: 0.0219 - mse: 19.0951 - val_loss: 0.0231 - val_mse: 20.0937
Epoch 77/1000
0s - loss: 0.0216 - mse: 18.8414 - val_loss: 0.0228 - val_mse: 19.8618
Epoch 78/1000
0s - loss: 0.0214 - mse: 18.6057 - val_loss: 0.0226 - val_mse: 19.6600
Epoch 79/1000
0s - loss: 0.0211 - mse: 18.3950 - val_loss: 0.0223 - val_mse: 19.4365
Epoch 80/1000
0s - loss: 0.0209 - mse: 18.1608 - val_loss: 0.0221 - val_mse: 19.2178
Epoch 81/1000
0s - loss: 0.0206 - mse: 17.9206 - val_loss: 0.0218 - val_mse: 19.0070
Epoch 82/1000
0s - loss: 0.0203 - mse: 17.6788 - val_loss: 0.0216 - val_mse: 18.8014
Epoch 83/1000
0s - loss: 0.0200 - mse: 17.4543 - val_loss: 0.0213 - val_mse: 18.5700
Epoch 84/1000
0s - loss: 0.0198 - mse: 17.2302 - val_loss: 0.0211 - val_mse: 18.3341
Epoch 85/1000
0s - loss: 0.0195 - mse: 17.0191 - val_loss: 0.0208 - val_mse: 18.1016
Epoch 86/1000
0s - loss: 0.0193 - mse: 16.7985 - val_loss: 0.0205 - val_mse: 17.8744
Epoch 87/1000
0s - loss: 0.0190 - mse: 16.5601 - val_loss: 0.0203 - val_mse: 17.6708
Epoch 88/1000
0s - loss: 0.0188 - mse: 16.3427 - val_loss: 0.0200 - val_mse: 17.4563
Epoch 89/1000
0s - loss: 0.0185 - mse: 16.1189 - val_loss: 0.0198 - val_mse: 17.2486
Epoch 90/1000
0s - loss: 0.0183 - mse: 15.9018 - val_loss: 0.0196 - val_mse: 17.0422
Epoch 91/1000
0s - loss: 0.0180 - mse: 15.6937 - val_loss: 0.0193 - val_mse: 16.7970
Epoch 92/1000
0s - loss: 0.0178 - mse: 15.4603 - val_loss: 0.0190 - val_mse: 16.5722
Epoch 93/1000
0s - loss: 0.0175 - mse: 15.2444 - val_loss: 0.0188 - val_mse: 16.3545
Epoch 94/1000
0s - loss: 0.0173 - mse: 15.0305 - val_loss: 0.0185 - val_mse: 16.1451
Epoch 95/1000
0s - loss: 0.0170 - mse: 14.8158 - val_loss: 0.0183 - val_mse: 15.9640
Epoch 96/1000
0s - loss: 0.0168 - mse: 14.5958 - val_loss: 0.0181 - val_mse: 15.7824
Epoch 97/1000
0s - loss: 0.0165 - mse: 14.3815 - val_loss: 0.0179 - val_mse: 15.5871
Epoch 98/1000
0s - loss: 0.0163 - mse: 14.1664 - val_loss: 0.0177 - val_mse: 15.3861
Epoch 99/1000
0s - loss: 0.0160 - mse: 13.9650 - val_loss: 0.0174 - val_mse: 15.1694
Epoch 100/1000
0s - loss: 0.0158 - mse: 13.7510 - val_loss: 0.0172 - val_mse: 14.9660
Epoch 101/1000
0s - loss: 0.0156 - mse: 13.5500 - val_loss: 0.0170 - val_mse: 14.7617
Epoch 102/1000
0s - loss: 0.0154 - mse: 13.3839 - val_loss: 0.0171 - val_mse: 14.8659
Epoch 103/1000
0s - loss: 0.0155 - mse: 13.5025 - val_loss: 0.0184 - val_mse: 16.0093
Epoch 104/1000
0s - loss: 0.0170 - mse: 14.8227 - val_loss: 0.0175 - val_mse: 15.2537
Epoch 105/1000
0s - loss: 0.0158 - mse: 13.7685 - val_loss: 0.0172 - val_mse: 14.9456
Epoch 106/1000

Epoch 00105: reducing learning rate to 0.00699999984354.
6s - loss: 0.0154 - mse: 13.3704 - val_loss: 0.0173 - val_mse: 15.0700
Epoch 107/1000
0s - loss: 0.0158 - mse: 13.7742 - val_loss: 0.0167 - val_mse: 14.5274
Epoch 108/1000
0s - loss: 0.0151 - mse: 13.1248 - val_loss: 0.0170 - val_mse: 14.7681
Epoch 109/1000
0s - loss: 0.0154 - mse: 13.3784 - val_loss: 0.0160 - val_mse: 13.9457
Epoch 110/1000
0s - loss: 0.0144 - mse: 12.5640 - val_loss: 0.0162 - val_mse: 14.0722
Epoch 111/1000
0s - loss: 0.0146 - mse: 12.6856 - val_loss: 0.0161 - val_mse: 13.9841
Epoch 112/1000
0s - loss: 0.0142 - mse: 12.3914 - val_loss: 0.0157 - val_mse: 13.6990
Epoch 113/1000
0s - loss: 0.0139 - mse: 12.1359 - val_loss: 0.0153 - val_mse: 13.2818
Epoch 114/1000
0s - loss: 0.0136 - mse: 11.8840 - val_loss: 0.0151 - val_mse: 13.1554
Epoch 115/1000
0s - loss: 0.0135 - mse: 11.7641 - val_loss: 0.0154 - val_mse: 13.4015
Epoch 116/1000
0s - loss: 0.0136 - mse: 11.8596 - val_loss: 0.0151 - val_mse: 13.1142
Epoch 117/1000
0s - loss: 0.0132 - mse: 11.4612 - val_loss: 0.0152 - val_mse: 13.2434
Epoch 118/1000
0s - loss: 0.0133 - mse: 11.5444 - val_loss: 0.0149 - val_mse: 12.9580
Epoch 119/1000
0s - loss: 0.0128 - mse: 11.1245 - val_loss: 0.0148 - val_mse: 12.8807
Epoch 120/1000
0s - loss: 0.0127 - mse: 11.0606 - val_loss: 0.0144 - val_mse: 12.5805
Epoch 121/1000
0s - loss: 0.0126 - mse: 10.9337 - val_loss: 0.0142 - val_mse: 12.3772
Epoch 122/1000
0s - loss: 0.0124 - mse: 10.7987 - val_loss: 0.0142 - val_mse: 12.3625
Epoch 123/1000
0s - loss: 0.0123 - mse: 10.6888 - val_loss: 0.0140 - val_mse: 12.2292
Epoch 124/1000
0s - loss: 0.0121 - mse: 10.5167 - val_loss: 0.0139 - val_mse: 12.1312
Epoch 125/1000
0s - loss: 0.0120 - mse: 10.4430 - val_loss: 0.0137 - val_mse: 11.9650
Epoch 126/1000
0s - loss: 0.0117 - mse: 10.2087 - val_loss: 0.0136 - val_mse: 11.8280
Epoch 127/1000
0s - loss: 0.0116 - mse: 10.0819 - val_loss: 0.0134 - val_mse: 11.6745
Epoch 128/1000
0s - loss: 0.0114 - mse: 9.9693 - val_loss: 0.0134 - val_mse: 11.6821
Epoch 129/1000
0s - loss: 0.0113 - mse: 9.8584 - val_loss: 0.0134 - val_mse: 11.6689
Epoch 130/1000
0s - loss: 0.0112 - mse: 9.7536 - val_loss: 0.0132 - val_mse: 11.4932
Epoch 131/1000
0s - loss: 0.0110 - mse: 9.6151 - val_loss: 0.0130 - val_mse: 11.3519
Epoch 132/1000
0s - loss: 0.0109 - mse: 9.4551 - val_loss: 0.0129 - val_mse: 11.2361
Epoch 133/1000
0s - loss: 0.0107 - mse: 9.3340 - val_loss: 0.0127 - val_mse: 11.0719
Epoch 134/1000
0s - loss: 0.0106 - mse: 9.2242 - val_loss: 0.0126 - val_mse: 10.9679
Epoch 135/1000
0s - loss: 0.0104 - mse: 9.0851 - val_loss: 0.0125 - val_mse: 10.9081
Epoch 136/1000
0s - loss: 0.0103 - mse: 8.9797 - val_loss: 0.0124 - val_mse: 10.8079
Epoch 137/1000
0s - loss: 0.0102 - mse: 8.8414 - val_loss: 0.0124 - val_mse: 10.7645
Epoch 138/1000
0s - loss: 0.0100 - mse: 8.7025 - val_loss: 0.0122 - val_mse: 10.6125
Epoch 139/1000
0s - loss: 0.0098 - mse: 8.5736 - val_loss: 0.0120 - val_mse: 10.4790
Epoch 140/1000
0s - loss: 0.0097 - mse: 8.4454 - val_loss: 0.0120 - val_mse: 10.4502
Epoch 141/1000
0s - loss: 0.0096 - mse: 8.3362 - val_loss: 0.0119 - val_mse: 10.3867
Epoch 142/1000
0s - loss: 0.0094 - mse: 8.2268 - val_loss: 0.0119 - val_mse: 10.3340
Epoch 143/1000
0s - loss: 0.0093 - mse: 8.0891 - val_loss: 0.0117 - val_mse: 10.1556
Epoch 144/1000
0s - loss: 0.0092 - mse: 7.9974 - val_loss: 0.0117 - val_mse: 10.1726
Epoch 145/1000
0s - loss: 0.0091 - mse: 7.9169 - val_loss: 0.0116 - val_mse: 10.0925
Epoch 146/1000
0s - loss: 0.0091 - mse: 7.8978 - val_loss: 0.0121 - val_mse: 10.5079
Epoch 147/1000
0s - loss: 0.0094 - mse: 8.1449 - val_loss: 0.0122 - val_mse: 10.6485
Epoch 148/1000

Epoch 00147: reducing learning rate to 0.00489999982528.
0s - loss: 0.0099 - mse: 8.6458 - val_loss: 0.0149 - val_mse: 12.9826
Epoch 149/1000
0s - loss: 0.0123 - mse: 10.7221 - val_loss: 0.0112 - val_mse: 9.7269
Epoch 150/1000
0s - loss: 0.0086 - mse: 7.4915 - val_loss: 0.0133 - val_mse: 11.5789
Epoch 151/1000
0s - loss: 0.0111 - mse: 9.6975 - val_loss: 0.0129 - val_mse: 11.2221
Epoch 152/1000
0s - loss: 0.0100 - mse: 8.6948 - val_loss: 0.0129 - val_mse: 11.2562
Epoch 153/1000
0s - loss: 0.0101 - mse: 8.7540 - val_loss: 0.0117 - val_mse: 10.1936
Epoch 154/1000
0s - loss: 0.0093 - mse: 8.0849 - val_loss: 0.0119 - val_mse: 10.3615
Epoch 155/1000
0s - loss: 0.0095 - mse: 8.2522 - val_loss: 0.0120 - val_mse: 10.4284
Epoch 156/1000
0s - loss: 0.0090 - mse: 7.8160 - val_loss: 0.0124 - val_mse: 10.7800
Epoch 157/1000
0s - loss: 0.0094 - mse: 8.1498 - val_loss: 0.0110 - val_mse: 9.5686
Epoch 158/1000
0s - loss: 0.0083 - mse: 7.2099 - val_loss: 0.0117 - val_mse: 10.1810
Epoch 159/1000
0s - loss: 0.0092 - mse: 7.9833 - val_loss: 0.0111 - val_mse: 9.6458
Epoch 160/1000
0s - loss: 0.0080 - mse: 6.9765 - val_loss: 0.0121 - val_mse: 10.5080
Epoch 161/1000
0s - loss: 0.0089 - mse: 7.7216 - val_loss: 0.0107 - val_mse: 9.3307
Epoch 162/1000
0s - loss: 0.0077 - mse: 6.6971 - val_loss: 0.0113 - val_mse: 9.8619
Epoch 163/1000
0s - loss: 0.0086 - mse: 7.5064 - val_loss: 0.0106 - val_mse: 9.2047
Epoch 164/1000
0s - loss: 0.0075 - mse: 6.5623 - val_loss: 0.0114 - val_mse: 9.9200
Epoch 165/1000
0s - loss: 0.0082 - mse: 7.1695 - val_loss: 0.0104 - val_mse: 9.0809
Epoch 166/1000
0s - loss: 0.0074 - mse: 6.4222 - val_loss: 0.0107 - val_mse: 9.3582
Epoch 167/1000
0s - loss: 0.0080 - mse: 6.9598 - val_loss: 0.0102 - val_mse: 8.8682
Epoch 168/1000
0s - loss: 0.0072 - mse: 6.2935 - val_loss: 0.0108 - val_mse: 9.3831
Epoch 169/1000
0s - loss: 0.0077 - mse: 6.6949 - val_loss: 0.0101 - val_mse: 8.8310
Epoch 170/1000
0s - loss: 0.0071 - mse: 6.1736 - val_loss: 0.0103 - val_mse: 9.0121
Epoch 171/1000
0s - loss: 0.0075 - mse: 6.5064 - val_loss: 0.0100 - val_mse: 8.7165
Epoch 172/1000
0s - loss: 0.0069 - mse: 6.0395 - val_loss: 0.0104 - val_mse: 9.0635
Epoch 173/1000
0s - loss: 0.0072 - mse: 6.2890 - val_loss: 0.0099 - val_mse: 8.6243
Epoch 174/1000
0s - loss: 0.0068 - mse: 5.9175 - val_loss: 0.0100 - val_mse: 8.7221
Epoch 175/1000
0s - loss: 0.0070 - mse: 6.1288 - val_loss: 0.0098 - val_mse: 8.5712
Epoch 176/1000
0s - loss: 0.0066 - mse: 5.7900 - val_loss: 0.0101 - val_mse: 8.8163
Epoch 177/1000
0s - loss: 0.0068 - mse: 5.9458 - val_loss: 0.0097 - val_mse: 8.4447
Epoch 178/1000
0s - loss: 0.0065 - mse: 5.6733 - val_loss: 0.0098 - val_mse: 8.4958
Epoch 179/1000
0s - loss: 0.0067 - mse: 5.7923 - val_loss: 0.0097 - val_mse: 8.4761
Epoch 180/1000
0s - loss: 0.0064 - mse: 5.5806 - val_loss: 0.0099 - val_mse: 8.5878
Epoch 181/1000
0s - loss: 0.0065 - mse: 5.6245 - val_loss: 0.0096 - val_mse: 8.3412
Epoch 182/1000
0s - loss: 0.0063 - mse: 5.4898 - val_loss: 0.0095 - val_mse: 8.2992
Epoch 183/1000
0s - loss: 0.0063 - mse: 5.4629 - val_loss: 0.0096 - val_mse: 8.3822
Epoch 184/1000
0s - loss: 0.0062 - mse: 5.4108 - val_loss: 0.0095 - val_mse: 8.2927
Epoch 185/1000
0s - loss: 0.0061 - mse: 5.3100 - val_loss: 0.0094 - val_mse: 8.2157
Epoch 186/1000
0s - loss: 0.0061 - mse: 5.3254 - val_loss: 0.0093 - val_mse: 8.1421
Epoch 187/1000
0s - loss: 0.0059 - mse: 5.1800 - val_loss: 0.0095 - val_mse: 8.2328
Epoch 188/1000
0s - loss: 0.0060 - mse: 5.2066 - val_loss: 0.0093 - val_mse: 8.0617
Epoch 189/1000
0s - loss: 0.0058 - mse: 5.0869 - val_loss: 0.0092 - val_mse: 8.0351
Epoch 190/1000
0s - loss: 0.0058 - mse: 5.0662 - val_loss: 0.0093 - val_mse: 8.0728
Epoch 191/1000
0s - loss: 0.0058 - mse: 5.0151 - val_loss: 0.0091 - val_mse: 7.9666
Epoch 192/1000
0s - loss: 0.0057 - mse: 4.9281 - val_loss: 0.0091 - val_mse: 7.9106
Epoch 193/1000
0s - loss: 0.0057 - mse: 4.9259 - val_loss: 0.0091 - val_mse: 7.8897
Epoch 194/1000
0s - loss: 0.0055 - mse: 4.8261 - val_loss: 0.0090 - val_mse: 7.8775
Epoch 195/1000
0s - loss: 0.0055 - mse: 4.7983 - val_loss: 0.0089 - val_mse: 7.7548
Epoch 196/1000
0s - loss: 0.0055 - mse: 4.7497 - val_loss: 0.0089 - val_mse: 7.7132
Epoch 197/1000
0s - loss: 0.0054 - mse: 4.6711 - val_loss: 0.0089 - val_mse: 7.7532
Epoch 198/1000
0s - loss: 0.0053 - mse: 4.6504 - val_loss: 0.0088 - val_mse: 7.6462
Epoch 199/1000
0s - loss: 0.0053 - mse: 4.5775 - val_loss: 0.0087 - val_mse: 7.5948
Epoch 200/1000
0s - loss: 0.0052 - mse: 4.5281 - val_loss: 0.0087 - val_mse: 7.6085
Epoch 201/1000
0s - loss: 0.0052 - mse: 4.4942 - val_loss: 0.0086 - val_mse: 7.5279
Epoch 202/1000
0s - loss: 0.0051 - mse: 4.4228 - val_loss: 0.0086 - val_mse: 7.5004
Epoch 203/1000
0s - loss: 0.0050 - mse: 4.3888 - val_loss: 0.0086 - val_mse: 7.5107
Epoch 204/1000
0s - loss: 0.0050 - mse: 4.3462 - val_loss: 0.0085 - val_mse: 7.4326
Epoch 205/1000
0s - loss: 0.0049 - mse: 4.2833 - val_loss: 0.0085 - val_mse: 7.3993
Epoch 206/1000
0s - loss: 0.0049 - mse: 4.2517 - val_loss: 0.0085 - val_mse: 7.4160
Epoch 207/1000
0s - loss: 0.0048 - mse: 4.2117 - val_loss: 0.0084 - val_mse: 7.3505
Epoch 208/1000
0s - loss: 0.0048 - mse: 4.1550 - val_loss: 0.0084 - val_mse: 7.3113
Epoch 209/1000
0s - loss: 0.0047 - mse: 4.1200 - val_loss: 0.0084 - val_mse: 7.3144
Epoch 210/1000
0s - loss: 0.0047 - mse: 4.0847 - val_loss: 0.0083 - val_mse: 7.2534
Epoch 211/1000
0s - loss: 0.0046 - mse: 4.0337 - val_loss: 0.0083 - val_mse: 7.2225
Epoch 212/1000
0s - loss: 0.0046 - mse: 3.9947 - val_loss: 0.0083 - val_mse: 7.2140
Epoch 213/1000
0s - loss: 0.0046 - mse: 3.9629 - val_loss: 0.0082 - val_mse: 7.1508
Epoch 214/1000
0s - loss: 0.0045 - mse: 3.9191 - val_loss: 0.0082 - val_mse: 7.1295
Epoch 215/1000
0s - loss: 0.0045 - mse: 3.8756 - val_loss: 0.0082 - val_mse: 7.1173
Epoch 216/1000
0s - loss: 0.0044 - mse: 3.8424 - val_loss: 0.0081 - val_mse: 7.0602
Epoch 217/1000
0s - loss: 0.0044 - mse: 3.8071 - val_loss: 0.0081 - val_mse: 7.0393
Epoch 218/1000
0s - loss: 0.0043 - mse: 3.7646 - val_loss: 0.0081 - val_mse: 7.0103
Epoch 219/1000
0s - loss: 0.0043 - mse: 3.7244 - val_loss: 0.0080 - val_mse: 6.9784
Epoch 220/1000
0s - loss: 0.0042 - mse: 3.6905 - val_loss: 0.0080 - val_mse: 6.9638
Epoch 221/1000
0s - loss: 0.0042 - mse: 3.6559 - val_loss: 0.0079 - val_mse: 6.9151
Epoch 222/1000
0s - loss: 0.0042 - mse: 3.6164 - val_loss: 0.0079 - val_mse: 6.8919
Epoch 223/1000
0s - loss: 0.0041 - mse: 3.5767 - val_loss: 0.0079 - val_mse: 6.8567
Epoch 224/1000
0s - loss: 0.0041 - mse: 3.5406 - val_loss: 0.0078 - val_mse: 6.8161
Epoch 225/1000
0s - loss: 0.0040 - mse: 3.5076 - val_loss: 0.0078 - val_mse: 6.7989
Epoch 226/1000
0s - loss: 0.0040 - mse: 3.4743 - val_loss: 0.0078 - val_mse: 6.7536
Epoch 227/1000
0s - loss: 0.0039 - mse: 3.4390 - val_loss: 0.0077 - val_mse: 6.7239
Epoch 228/1000
0s - loss: 0.0039 - mse: 3.4031 - val_loss: 0.0077 - val_mse: 6.6859
Epoch 229/1000
0s - loss: 0.0039 - mse: 3.3686 - val_loss: 0.0076 - val_mse: 6.6615
Epoch 230/1000
0s - loss: 0.0038 - mse: 3.3357 - val_loss: 0.0076 - val_mse: 6.6443
Epoch 231/1000
0s - loss: 0.0038 - mse: 3.3047 - val_loss: 0.0076 - val_mse: 6.6125
Epoch 232/1000
0s - loss: 0.0038 - mse: 3.2741 - val_loss: 0.0076 - val_mse: 6.6008
Epoch 233/1000
0s - loss: 0.0037 - mse: 3.2443 - val_loss: 0.0075 - val_mse: 6.5739
Epoch 234/1000
0s - loss: 0.0037 - mse: 3.2150 - val_loss: 0.0076 - val_mse: 6.5792
Epoch 235/1000
0s - loss: 0.0037 - mse: 3.1879 - val_loss: 0.0075 - val_mse: 6.5390
Epoch 236/1000

Epoch 00235: reducing learning rate to 0.00343000004068.
0s - loss: 0.0036 - mse: 3.1634 - val_loss: 0.0075 - val_mse: 6.5487
Epoch 237/1000
0s - loss: 0.0036 - mse: 3.1481 - val_loss: 0.0075 - val_mse: 6.4891
Epoch 238/1000
0s - loss: 0.0036 - mse: 3.1028 - val_loss: 0.0074 - val_mse: 6.4709
Epoch 239/1000
0s - loss: 0.0035 - mse: 3.0706 - val_loss: 0.0075 - val_mse: 6.4878
Epoch 240/1000
0s - loss: 0.0035 - mse: 3.0725 - val_loss: 0.0074 - val_mse: 6.4258
Epoch 241/1000
0s - loss: 0.0035 - mse: 3.0300 - val_loss: 0.0074 - val_mse: 6.4080
Epoch 242/1000
0s - loss: 0.0035 - mse: 3.0057 - val_loss: 0.0074 - val_mse: 6.4245
Epoch 243/1000
0s - loss: 0.0034 - mse: 3.0002 - val_loss: 0.0073 - val_mse: 6.3749
Epoch 244/1000
0s - loss: 0.0034 - mse: 2.9622 - val_loss: 0.0073 - val_mse: 6.3541
Epoch 245/1000
0s - loss: 0.0034 - mse: 2.9398 - val_loss: 0.0073 - val_mse: 6.3645
Epoch 246/1000
0s - loss: 0.0034 - mse: 2.9310 - val_loss: 0.0073 - val_mse: 6.3251
Epoch 247/1000
0s - loss: 0.0033 - mse: 2.8974 - val_loss: 0.0072 - val_mse: 6.3070
Epoch 248/1000
0s - loss: 0.0033 - mse: 2.8731 - val_loss: 0.0072 - val_mse: 6.3086
Epoch 249/1000
0s - loss: 0.0033 - mse: 2.8622 - val_loss: 0.0072 - val_mse: 6.2707
Epoch 250/1000
0s - loss: 0.0033 - mse: 2.8348 - val_loss: 0.0072 - val_mse: 6.2556
Epoch 251/1000
0s - loss: 0.0032 - mse: 2.8075 - val_loss: 0.0072 - val_mse: 6.2566
Epoch 252/1000
0s - loss: 0.0032 - mse: 2.7936 - val_loss: 0.0072 - val_mse: 6.2274
Epoch 253/1000
0s - loss: 0.0032 - mse: 2.7724 - val_loss: 0.0071 - val_mse: 6.2107
Epoch 254/1000

Epoch 00253: reducing learning rate to 0.00240100002848.
0s - loss: 0.0032 - mse: 2.7444 - val_loss: 0.0071 - val_mse: 6.1964
Epoch 255/1000
0s - loss: 0.0031 - mse: 2.7247 - val_loss: 0.0071 - val_mse: 6.1788
Epoch 256/1000
0s - loss: 0.0031 - mse: 2.7093 - val_loss: 0.0071 - val_mse: 6.1690
Epoch 257/1000
0s - loss: 0.0031 - mse: 2.6931 - val_loss: 0.0071 - val_mse: 6.1614
Epoch 258/1000
0s - loss: 0.0031 - mse: 2.6792 - val_loss: 0.0071 - val_mse: 6.1396
Epoch 259/1000
0s - loss: 0.0031 - mse: 2.6619 - val_loss: 0.0070 - val_mse: 6.1209
Epoch 260/1000
0s - loss: 0.0030 - mse: 2.6486 - val_loss: 0.0070 - val_mse: 6.1100
Epoch 261/1000
0s - loss: 0.0030 - mse: 2.6313 - val_loss: 0.0070 - val_mse: 6.1015
Epoch 262/1000
0s - loss: 0.0030 - mse: 2.6174 - val_loss: 0.0070 - val_mse: 6.0826
Epoch 263/1000
0s - loss: 0.0030 - mse: 2.6010 - val_loss: 0.0070 - val_mse: 6.0660
Epoch 264/1000
0s - loss: 0.0030 - mse: 2.5859 - val_loss: 0.0070 - val_mse: 6.0550
Epoch 265/1000
0s - loss: 0.0030 - mse: 2.5710 - val_loss: 0.0069 - val_mse: 6.0396
Epoch 266/1000
0s - loss: 0.0029 - mse: 2.5550 - val_loss: 0.0069 - val_mse: 6.0240
Epoch 267/1000
0s - loss: 0.0029 - mse: 2.5410 - val_loss: 0.0069 - val_mse: 6.0104
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.00168070008513.
0s - loss: 0.0029 - mse: 2.5249 - val_loss: 0.0069 - val_mse: 5.9958
Epoch 269/1000
0s - loss: 0.0029 - mse: 2.5104 - val_loss: 0.0069 - val_mse: 5.9837
Epoch 270/1000
0s - loss: 0.0029 - mse: 2.4993 - val_loss: 0.0069 - val_mse: 5.9747
Epoch 271/1000
0s - loss: 0.0029 - mse: 2.4892 - val_loss: 0.0069 - val_mse: 5.9675
Epoch 272/1000
0s - loss: 0.0028 - mse: 2.4781 - val_loss: 0.0068 - val_mse: 5.9594
Epoch 273/1000
0s - loss: 0.0028 - mse: 2.4681 - val_loss: 0.0068 - val_mse: 5.9473
Epoch 274/1000
0s - loss: 0.0028 - mse: 2.4571 - val_loss: 0.0068 - val_mse: 5.9363
Epoch 275/1000
0s - loss: 0.0028 - mse: 2.4472 - val_loss: 0.0068 - val_mse: 5.9272
Epoch 276/1000
0s - loss: 0.0028 - mse: 2.4365 - val_loss: 0.0068 - val_mse: 5.9193
Epoch 277/1000
0s - loss: 0.0028 - mse: 2.4265 - val_loss: 0.0068 - val_mse: 5.9085
Epoch 278/1000
0s - loss: 0.0028 - mse: 2.4160 - val_loss: 0.0068 - val_mse: 5.8972
Epoch 279/1000
0s - loss: 0.0028 - mse: 2.4060 - val_loss: 0.0068 - val_mse: 5.8870
Epoch 280/1000
0s - loss: 0.0028 - mse: 2.3957 - val_loss: 0.0068 - val_mse: 5.8782
Epoch 281/1000
0s - loss: 0.0027 - mse: 2.3857 - val_loss: 0.0067 - val_mse: 5.8680
Epoch 282/1000
0s - loss: 0.0027 - mse: 2.3758 - val_loss: 0.0067 - val_mse: 5.8579
Epoch 283/1000
0s - loss: 0.0027 - mse: 2.3661 - val_loss: 0.0067 - val_mse: 5.8487
Epoch 284/1000

Epoch 00283: reducing learning rate to 0.00117649007589.
0s - loss: 0.0027 - mse: 2.3562 - val_loss: 0.0067 - val_mse: 5.8388
Epoch 285/1000
0s - loss: 0.0027 - mse: 2.3465 - val_loss: 0.0067 - val_mse: 5.8304
Epoch 286/1000
0s - loss: 0.0027 - mse: 2.3396 - val_loss: 0.0067 - val_mse: 5.8216
Epoch 287/1000
0s - loss: 0.0027 - mse: 2.3327 - val_loss: 0.0067 - val_mse: 5.8143
Epoch 288/1000
0s - loss: 0.0027 - mse: 2.3261 - val_loss: 0.0067 - val_mse: 5.8079
Epoch 289/1000
0s - loss: 0.0027 - mse: 2.3194 - val_loss: 0.0067 - val_mse: 5.8017
Epoch 290/1000
0s - loss: 0.0027 - mse: 2.3128 - val_loss: 0.0067 - val_mse: 5.7945
Epoch 291/1000
0s - loss: 0.0026 - mse: 2.3062 - val_loss: 0.0066 - val_mse: 5.7866
Epoch 292/1000
0s - loss: 0.0026 - mse: 2.2996 - val_loss: 0.0066 - val_mse: 5.7795
Epoch 293/1000
0s - loss: 0.0026 - mse: 2.2931 - val_loss: 0.0066 - val_mse: 5.7733
Epoch 294/1000
0s - loss: 0.0026 - mse: 2.2864 - val_loss: 0.0066 - val_mse: 5.7674
Epoch 295/1000
0s - loss: 0.0026 - mse: 2.2799 - val_loss: 0.0066 - val_mse: 5.7605
Epoch 296/1000
0s - loss: 0.0026 - mse: 2.2734 - val_loss: 0.0066 - val_mse: 5.7527
Epoch 297/1000
0s - loss: 0.0026 - mse: 2.2668 - val_loss: 0.0066 - val_mse: 5.7449
Epoch 298/1000

Epoch 00297: reducing learning rate to 0.000823543069419.
0s - loss: 0.0026 - mse: 2.2603 - val_loss: 0.0066 - val_mse: 5.7381
Epoch 299/1000
0s - loss: 0.0026 - mse: 2.2537 - val_loss: 0.0066 - val_mse: 5.7335
Epoch 300/1000
0s - loss: 0.0026 - mse: 2.2492 - val_loss: 0.0066 - val_mse: 5.7288
Epoch 301/1000
0s - loss: 0.0026 - mse: 2.2447 - val_loss: 0.0066 - val_mse: 5.7238
Epoch 302/1000
0s - loss: 0.0026 - mse: 2.2402 - val_loss: 0.0066 - val_mse: 5.7186
Epoch 303/1000
0s - loss: 0.0026 - mse: 2.2357 - val_loss: 0.0066 - val_mse: 5.7134
Epoch 304/1000
0s - loss: 0.0026 - mse: 2.2312 - val_loss: 0.0066 - val_mse: 5.7080
Epoch 305/1000
0s - loss: 0.0026 - mse: 2.2267 - val_loss: 0.0065 - val_mse: 5.7029
Epoch 306/1000
0s - loss: 0.0026 - mse: 2.2222 - val_loss: 0.0065 - val_mse: 5.6979
Epoch 307/1000
0s - loss: 0.0025 - mse: 2.2178 - val_loss: 0.0065 - val_mse: 5.6926
Epoch 308/1000
0s - loss: 0.0025 - mse: 2.2133 - val_loss: 0.0065 - val_mse: 5.6872
Epoch 309/1000
0s - loss: 0.0025 - mse: 2.2089 - val_loss: 0.0065 - val_mse: 5.6818
Epoch 310/1000
0s - loss: 0.0025 - mse: 2.2045 - val_loss: 0.0065 - val_mse: 5.6760
Epoch 311/1000
0s - loss: 0.0025 - mse: 2.2001 - val_loss: 0.0065 - val_mse: 5.6705
Epoch 312/1000

Epoch 00311: reducing learning rate to 0.000576480140444.
0s - loss: 0.0025 - mse: 2.1956 - val_loss: 0.0065 - val_mse: 5.6654
Epoch 313/1000
0s - loss: 0.0025 - mse: 2.1912 - val_loss: 0.0065 - val_mse: 5.6617
Epoch 314/1000
0s - loss: 0.0025 - mse: 2.1881 - val_loss: 0.0065 - val_mse: 5.6580
Epoch 315/1000
0s - loss: 0.0025 - mse: 2.1850 - val_loss: 0.0065 - val_mse: 5.6540
Epoch 316/1000
1s - loss: 0.0025 - mse: 2.1820 - val_loss: 0.0065 - val_mse: 5.6501
Epoch 317/1000
0s - loss: 0.0025 - mse: 2.1789 - val_loss: 0.0065 - val_mse: 5.6465
Epoch 318/1000
0s - loss: 0.0025 - mse: 2.1758 - val_loss: 0.0065 - val_mse: 5.6431
Epoch 319/1000
0s - loss: 0.0025 - mse: 2.1727 - val_loss: 0.0065 - val_mse: 5.6395
Epoch 320/1000
0s - loss: 0.0025 - mse: 2.1696 - val_loss: 0.0065 - val_mse: 5.6356
Epoch 321/1000
0s - loss: 0.0025 - mse: 2.1665 - val_loss: 0.0065 - val_mse: 5.6319
Epoch 322/1000
0s - loss: 0.0025 - mse: 2.1634 - val_loss: 0.0065 - val_mse: 5.6286
Epoch 323/1000
0s - loss: 0.0025 - mse: 2.1603 - val_loss: 0.0065 - val_mse: 5.6256
Epoch 324/1000
0s - loss: 0.0025 - mse: 2.1572 - val_loss: 0.0065 - val_mse: 5.6224
Epoch 325/1000
0s - loss: 0.0025 - mse: 2.1541 - val_loss: 0.0065 - val_mse: 5.6191
Epoch 326/1000
0s - loss: 0.0025 - mse: 2.1510 - val_loss: 0.0064 - val_mse: 5.6157
Epoch 327/1000
0s - loss: 0.0025 - mse: 2.1479 - val_loss: 0.0064 - val_mse: 5.6122
Epoch 328/1000
0s - loss: 0.0025 - mse: 2.1448 - val_loss: 0.0064 - val_mse: 5.6084
Epoch 329/1000
0s - loss: 0.0025 - mse: 2.1417 - val_loss: 0.0064 - val_mse: 5.6046
Epoch 330/1000
0s - loss: 0.0025 - mse: 2.1387 - val_loss: 0.0064 - val_mse: 5.6009
Epoch 331/1000

Epoch 00330: reducing learning rate to 0.000403536082013.
0s - loss: 0.0025 - mse: 2.1356 - val_loss: 0.0064 - val_mse: 5.5973
Epoch 332/1000
0s - loss: 0.0024 - mse: 2.1325 - val_loss: 0.0064 - val_mse: 5.5948
Epoch 333/1000
0s - loss: 0.0024 - mse: 2.1303 - val_loss: 0.0064 - val_mse: 5.5924
Epoch 334/1000
0s - loss: 0.0024 - mse: 2.1282 - val_loss: 0.0064 - val_mse: 5.5900
Epoch 335/1000
0s - loss: 0.0024 - mse: 2.1261 - val_loss: 0.0064 - val_mse: 5.5873
Epoch 336/1000
0s - loss: 0.0024 - mse: 2.1239 - val_loss: 0.0064 - val_mse: 5.5847
Epoch 337/1000
0s - loss: 0.0024 - mse: 2.1218 - val_loss: 0.0064 - val_mse: 5.5821
Epoch 338/1000
0s - loss: 0.0024 - mse: 2.1196 - val_loss: 0.0064 - val_mse: 5.5795
Epoch 339/1000
0s - loss: 0.0024 - mse: 2.1174 - val_loss: 0.0064 - val_mse: 5.5771
Epoch 340/1000
0s - loss: 0.0024 - mse: 2.1153 - val_loss: 0.0064 - val_mse: 5.5747
Epoch 341/1000
0s - loss: 0.0024 - mse: 2.1132 - val_loss: 0.0064 - val_mse: 5.5721
Epoch 342/1000
0s - loss: 0.0024 - mse: 2.1111 - val_loss: 0.0064 - val_mse: 5.5696
Epoch 343/1000
0s - loss: 0.0024 - mse: 2.1090 - val_loss: 0.0064 - val_mse: 5.5673
Epoch 344/1000
0s - loss: 0.0024 - mse: 2.1069 - val_loss: 0.0064 - val_mse: 5.5651
Epoch 345/1000

Epoch 00344: reducing learning rate to 0.000282475253334.
0s - loss: 0.0024 - mse: 2.1047 - val_loss: 0.0064 - val_mse: 5.5629
Epoch 346/1000
0s - loss: 0.0024 - mse: 2.1026 - val_loss: 0.0064 - val_mse: 5.5613
Epoch 347/1000
0s - loss: 0.0024 - mse: 2.1011 - val_loss: 0.0064 - val_mse: 5.5598
Epoch 348/1000
0s - loss: 0.0024 - mse: 2.0996 - val_loss: 0.0064 - val_mse: 5.5582
Epoch 349/1000
0s - loss: 0.0024 - mse: 2.0982 - val_loss: 0.0064 - val_mse: 5.5565
Epoch 350/1000
0s - loss: 0.0024 - mse: 2.0967 - val_loss: 0.0064 - val_mse: 5.5547
Epoch 351/1000
0s - loss: 0.0024 - mse: 2.0952 - val_loss: 0.0064 - val_mse: 5.5528
Epoch 352/1000
0s - loss: 0.0024 - mse: 2.0938 - val_loss: 0.0064 - val_mse: 5.5509
Epoch 353/1000
0s - loss: 0.0024 - mse: 2.0923 - val_loss: 0.0064 - val_mse: 5.5492
Epoch 354/1000
0s - loss: 0.0024 - mse: 2.0908 - val_loss: 0.0064 - val_mse: 5.5474
Epoch 355/1000
0s - loss: 0.0024 - mse: 2.0893 - val_loss: 0.0064 - val_mse: 5.5457
Epoch 356/1000
0s - loss: 0.0024 - mse: 2.0879 - val_loss: 0.0064 - val_mse: 5.5441
Epoch 357/1000
0s - loss: 0.0024 - mse: 2.0864 - val_loss: 0.0064 - val_mse: 5.5423
[{'loss': 0.024293258786201477, 'dropout': 0.0, 'val_mse': 23.78474235534668, 'width': 10, 'mse': 21.155517578125, 'val_loss': 0.027312444522976875}, {'loss': 0.0041144080460071564, 'dropout': 0.0, 'val_mse': 7.8667654991149902, 'width': 110, 'mse': 3.5829868316650391, 'val_loss': 0.0090335477143526077}, {'loss': 0.0013604337582364678, 'dropout': 0.0, 'val_mse': 3.409489631652832, 'width': 210, 'mse': 1.1847187280654907, 'val_loss': 0.003915177658200264}, {'loss': 0.0069423709064722061, 'dropout': 0.0, 'val_mse': 9.2405805587768555, 'width': 310, 'mse': 6.0456881523132324, 'val_loss': 0.010611124336719513}, {'loss': 0.023029616102576256, 'dropout': 0.0, 'val_mse': 22.774328231811523, 'width': 410, 'mse': 20.055086135864258, 'val_loss': 0.026152169331908226}]



In [67]:

    
pd.DataFrame(width2_perf).loc[:,['width','loss','val_loss']].set_index('width').plot(logy=True)









    Out[67]:





<matplotlib.axes._subplots.AxesSubplot at 0x1793aef90>



In [69]:

    
width_patience=2 # if increasing width this nr of times did not improve val_loss, stop
width3_perf = []
prev_weights = []
for width in range(75, 150, 15):
    fit, results, prev_weights = run_depth1(width, learningrates2, prev_weights, 'smallsteps')
    width3_perf.append(results)
    print width3_perf
    if len(width2_perf)>width_patience and width2_perf[-1]['val_mse']>np.min(x['val_mse'] for x in width2_perf[-width_patience:-1]):
        break









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_70 (LSTM)               (None, None, 75)          23400     
_________________________________________________________________
time_distributed_67 (TimeDis (None, None, 1)           76        
=================================================================
Total params: 23,476
Trainable params: 23,476
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 1.0390 - mse: 904.8274 - val_loss: 0.7489 - val_mse: 652.1671
Epoch 2/1000
0s - loss: 0.7070 - mse: 615.6877 - val_loss: 0.4976 - val_mse: 433.3028
Epoch 3/1000
0s - loss: 0.4583 - mse: 399.0903 - val_loss: 0.3232 - val_mse: 281.4737
Epoch 4/1000
0s - loss: 0.2991 - mse: 260.4613 - val_loss: 0.2695 - val_mse: 234.6826
Epoch 5/1000
0s - loss: 0.2615 - mse: 227.7144 - val_loss: 0.2829 - val_mse: 246.3958
Epoch 6/1000
0s - loss: 0.2820 - mse: 245.5874 - val_loss: 0.2222 - val_mse: 193.5296
Epoch 7/1000
0s - loss: 0.2218 - mse: 193.1415 - val_loss: 0.1911 - val_mse: 166.4041
Epoch 8/1000
0s - loss: 0.1891 - mse: 164.7025 - val_loss: 0.1686 - val_mse: 146.8249
Epoch 9/1000
0s - loss: 0.1610 - mse: 140.1980 - val_loss: 0.1681 - val_mse: 146.3538
Epoch 10/1000
0s - loss: 0.1578 - mse: 137.3996 - val_loss: 0.1531 - val_mse: 133.3293
Epoch 11/1000
0s - loss: 0.1434 - mse: 124.8550 - val_loss: 0.1307 - val_mse: 113.8366
Epoch 12/1000
0s - loss: 0.1222 - mse: 106.3880 - val_loss: 0.1142 - val_mse: 99.4323
Epoch 13/1000
0s - loss: 0.1022 - mse: 89.0337 - val_loss: 0.1231 - val_mse: 107.1939
Epoch 14/1000
0s - loss: 0.1020 - mse: 88.7939 - val_loss: 0.1378 - val_mse: 119.9802
Epoch 15/1000
0s - loss: 0.1111 - mse: 96.7923 - val_loss: 0.1297 - val_mse: 112.9359
Epoch 16/1000
0s - loss: 0.1063 - mse: 92.5607 - val_loss: 0.1162 - val_mse: 101.2286
Epoch 17/1000
0s - loss: 0.0973 - mse: 84.7437 - val_loss: 0.1084 - val_mse: 94.4051
Epoch 18/1000
0s - loss: 0.0923 - mse: 80.3688 - val_loss: 0.1081 - val_mse: 94.1070
Epoch 19/1000
0s - loss: 0.0941 - mse: 81.9077 - val_loss: 0.1056 - val_mse: 91.9860
Epoch 20/1000
0s - loss: 0.0931 - mse: 81.0668 - val_loss: 0.1012 - val_mse: 88.1716
Epoch 21/1000
0s - loss: 0.0900 - mse: 78.3533 - val_loss: 0.0972 - val_mse: 84.6386
Epoch 22/1000
0s - loss: 0.0870 - mse: 75.7777 - val_loss: 0.0909 - val_mse: 79.1904
Epoch 23/1000
0s - loss: 0.0812 - mse: 70.7314 - val_loss: 0.0844 - val_mse: 73.4933
Epoch 24/1000
0s - loss: 0.0746 - mse: 64.9530 - val_loss: 0.0825 - val_mse: 71.8409
Epoch 25/1000
0s - loss: 0.0728 - mse: 63.3702 - val_loss: 0.0819 - val_mse: 71.3266
Epoch 26/1000
0s - loss: 0.0728 - mse: 63.4166 - val_loss: 0.0798 - val_mse: 69.5106
Epoch 27/1000
0s - loss: 0.0720 - mse: 62.6679 - val_loss: 0.0773 - val_mse: 67.3512
Epoch 28/1000
0s - loss: 0.0705 - mse: 61.3662 - val_loss: 0.0746 - val_mse: 64.9656
Epoch 29/1000
0s - loss: 0.0678 - mse: 59.0699 - val_loss: 0.0745 - val_mse: 64.8989
Epoch 30/1000
0s - loss: 0.0679 - mse: 59.1098 - val_loss: 0.0736 - val_mse: 64.1093
Epoch 31/1000
0s - loss: 0.0672 - mse: 58.5283 - val_loss: 0.0720 - val_mse: 62.7293
Epoch 32/1000
0s - loss: 0.0660 - mse: 57.4934 - val_loss: 0.0708 - val_mse: 61.6244
Epoch 33/1000
0s - loss: 0.0653 - mse: 56.8610 - val_loss: 0.0688 - val_mse: 59.9309
Epoch 34/1000
0s - loss: 0.0638 - mse: 55.5598 - val_loss: 0.0671 - val_mse: 58.3931
Epoch 35/1000
0s - loss: 0.0624 - mse: 54.3334 - val_loss: 0.0660 - val_mse: 57.4979
Epoch 36/1000
0s - loss: 0.0617 - mse: 53.7231 - val_loss: 0.0650 - val_mse: 56.6115
Epoch 37/1000
0s - loss: 0.0609 - mse: 53.0453 - val_loss: 0.0639 - val_mse: 55.6147
Epoch 38/1000
0s - loss: 0.0599 - mse: 52.1578 - val_loss: 0.0625 - val_mse: 54.4523
Epoch 39/1000
0s - loss: 0.0586 - mse: 51.0095 - val_loss: 0.0612 - val_mse: 53.3042
Epoch 40/1000
0s - loss: 0.0571 - mse: 49.7173 - val_loss: 0.0608 - val_mse: 52.9106
Epoch 41/1000
0s - loss: 0.0563 - mse: 49.0352 - val_loss: 0.0609 - val_mse: 53.0344
Epoch 42/1000
0s - loss: 0.0561 - mse: 48.8768 - val_loss: 0.0603 - val_mse: 52.4978
Epoch 43/1000
0s - loss: 0.0553 - mse: 48.1464 - val_loss: 0.0588 - val_mse: 51.2182
Epoch 44/1000
0s - loss: 0.0537 - mse: 46.7402 - val_loss: 0.0576 - val_mse: 50.1884
Epoch 45/1000
0s - loss: 0.0523 - mse: 45.5722 - val_loss: 0.0571 - val_mse: 49.7557
Epoch 46/1000
0s - loss: 0.0516 - mse: 44.9400 - val_loss: 0.0568 - val_mse: 49.4345
Epoch 47/1000
0s - loss: 0.0511 - mse: 44.4657 - val_loss: 0.0560 - val_mse: 48.7338
Epoch 48/1000
0s - loss: 0.0503 - mse: 43.8084 - val_loss: 0.0547 - val_mse: 47.6381
Epoch 49/1000
0s - loss: 0.0493 - mse: 42.9092 - val_loss: 0.0535 - val_mse: 46.5634
Epoch 50/1000
0s - loss: 0.0482 - mse: 41.9940 - val_loss: 0.0525 - val_mse: 45.7617
Epoch 51/1000
0s - loss: 0.0472 - mse: 41.1398 - val_loss: 0.0519 - val_mse: 45.1722
Epoch 52/1000
0s - loss: 0.0462 - mse: 40.2683 - val_loss: 0.0513 - val_mse: 44.6829
Epoch 53/1000
0s - loss: 0.0453 - mse: 39.4696 - val_loss: 0.0505 - val_mse: 43.9389
Epoch 54/1000
0s - loss: 0.0444 - mse: 38.6492 - val_loss: 0.0492 - val_mse: 42.8438
Epoch 55/1000
0s - loss: 0.0434 - mse: 37.8164 - val_loss: 0.0479 - val_mse: 41.7354
Epoch 56/1000
0s - loss: 0.0426 - mse: 37.1175 - val_loss: 0.0469 - val_mse: 40.8070
Epoch 57/1000
0s - loss: 0.0419 - mse: 36.4764 - val_loss: 0.0459 - val_mse: 40.0009
Epoch 58/1000
0s - loss: 0.0411 - mse: 35.8173 - val_loss: 0.0451 - val_mse: 39.2357
Epoch 59/1000
0s - loss: 0.0403 - mse: 35.1227 - val_loss: 0.0444 - val_mse: 38.6930
Epoch 60/1000
0s - loss: 0.0397 - mse: 34.5750 - val_loss: 0.0440 - val_mse: 38.3223
Epoch 61/1000
0s - loss: 0.0392 - mse: 34.1253 - val_loss: 0.0434 - val_mse: 37.8030
Epoch 62/1000
0s - loss: 0.0385 - mse: 33.5497 - val_loss: 0.0426 - val_mse: 37.0959
Epoch 63/1000
0s - loss: 0.0378 - mse: 32.9149 - val_loss: 0.0418 - val_mse: 36.4307
Epoch 64/1000
0s - loss: 0.0372 - mse: 32.3691 - val_loss: 0.0413 - val_mse: 35.9737
Epoch 65/1000
0s - loss: 0.0366 - mse: 31.8764 - val_loss: 0.0409 - val_mse: 35.5880
Epoch 66/1000
0s - loss: 0.0359 - mse: 31.2826 - val_loss: 0.0404 - val_mse: 35.1432
Epoch 67/1000
0s - loss: 0.0353 - mse: 30.7328 - val_loss: 0.0397 - val_mse: 34.5720
Epoch 68/1000
0s - loss: 0.0348 - mse: 30.2852 - val_loss: 0.0390 - val_mse: 33.9786
Epoch 69/1000
0s - loss: 0.0343 - mse: 29.8278 - val_loss: 0.0383 - val_mse: 33.3803
Epoch 70/1000
0s - loss: 0.0337 - mse: 29.3404 - val_loss: 0.0376 - val_mse: 32.7288
Epoch 71/1000
0s - loss: 0.0331 - mse: 28.8483 - val_loss: 0.0370 - val_mse: 32.2359
Epoch 72/1000
0s - loss: 0.0326 - mse: 28.4295 - val_loss: 0.0366 - val_mse: 31.8362
Epoch 73/1000
0s - loss: 0.0322 - mse: 28.0531 - val_loss: 0.0358 - val_mse: 31.1695
Epoch 74/1000
0s - loss: 0.0317 - mse: 27.6087 - val_loss: 0.0350 - val_mse: 30.5195
Epoch 75/1000
0s - loss: 0.0312 - mse: 27.1857 - val_loss: 0.0345 - val_mse: 30.0571
Epoch 76/1000
0s - loss: 0.0308 - mse: 26.8426 - val_loss: 0.0339 - val_mse: 29.5523
Epoch 77/1000
0s - loss: 0.0304 - mse: 26.4777 - val_loss: 0.0335 - val_mse: 29.1649
Epoch 78/1000
0s - loss: 0.0300 - mse: 26.0892 - val_loss: 0.0331 - val_mse: 28.8389
Epoch 79/1000
0s - loss: 0.0296 - mse: 25.7375 - val_loss: 0.0326 - val_mse: 28.4197
Epoch 80/1000
0s - loss: 0.0292 - mse: 25.4038 - val_loss: 0.0323 - val_mse: 28.1129
Epoch 81/1000
0s - loss: 0.0288 - mse: 25.0535 - val_loss: 0.0318 - val_mse: 27.6964
Epoch 82/1000
0s - loss: 0.0284 - mse: 24.6998 - val_loss: 0.0316 - val_mse: 27.4775
Epoch 83/1000
0s - loss: 0.0280 - mse: 24.3796 - val_loss: 0.0312 - val_mse: 27.1326
Epoch 84/1000
0s - loss: 0.0276 - mse: 24.0582 - val_loss: 0.0309 - val_mse: 26.8935
Epoch 85/1000
0s - loss: 0.0272 - mse: 23.7285 - val_loss: 0.0304 - val_mse: 26.5032
Epoch 86/1000
0s - loss: 0.0269 - mse: 23.4422 - val_loss: 0.0304 - val_mse: 26.4622
Epoch 87/1000
0s - loss: 0.0267 - mse: 23.2357 - val_loss: 0.0299 - val_mse: 26.0809
Epoch 88/1000
0s - loss: 0.0269 - mse: 23.3966 - val_loss: 0.0328 - val_mse: 28.5831
Epoch 89/1000
0s - loss: 0.0290 - mse: 25.2628 - val_loss: 0.0336 - val_mse: 29.2692
Epoch 90/1000
0s - loss: 0.0318 - mse: 27.6930 - val_loss: 0.0335 - val_mse: 29.1810
Epoch 91/1000
0s - loss: 0.0302 - mse: 26.2636 - val_loss: 0.0284 - val_mse: 24.7445
Epoch 92/1000
0s - loss: 0.0255 - mse: 22.2304 - val_loss: 0.0316 - val_mse: 27.4789
Epoch 93/1000
0s - loss: 0.0300 - mse: 26.1373 - val_loss: 0.0285 - val_mse: 24.8033
Epoch 94/1000
0s - loss: 0.0255 - mse: 22.2398 - val_loss: 0.0299 - val_mse: 26.0707
Epoch 95/1000
0s - loss: 0.0270 - mse: 23.5125 - val_loss: 0.0277 - val_mse: 24.0860
Epoch 96/1000
0s - loss: 0.0253 - mse: 22.0445 - val_loss: 0.0278 - val_mse: 24.2430
Epoch 97/1000
0s - loss: 0.0257 - mse: 22.4072 - val_loss: 0.0284 - val_mse: 24.7337
Epoch 98/1000
0s - loss: 0.0250 - mse: 21.8000 - val_loss: 0.0278 - val_mse: 24.2067
Epoch 99/1000
0s - loss: 0.0246 - mse: 21.4184 - val_loss: 0.0271 - val_mse: 23.6071
Epoch 100/1000
0s - loss: 0.0245 - mse: 21.3011 - val_loss: 0.0266 - val_mse: 23.1553
Epoch 101/1000
0s - loss: 0.0241 - mse: 21.0291 - val_loss: 0.0270 - val_mse: 23.5510
Epoch 102/1000
0s - loss: 0.0238 - mse: 20.7093 - val_loss: 0.0268 - val_mse: 23.3676
Epoch 103/1000
0s - loss: 0.0236 - mse: 20.5441 - val_loss: 0.0256 - val_mse: 22.2654
Epoch 104/1000
0s - loss: 0.0232 - mse: 20.1930 - val_loss: 0.0254 - val_mse: 22.1567
Epoch 105/1000
0s - loss: 0.0233 - mse: 20.3130 - val_loss: 0.0252 - val_mse: 21.9384
Epoch 106/1000
0s - loss: 0.0225 - mse: 19.6061 - val_loss: 0.0261 - val_mse: 22.7425
Epoch 107/1000
0s - loss: 0.0230 - mse: 20.0440 - val_loss: 0.0244 - val_mse: 21.2229
Epoch 108/1000
0s - loss: 0.0221 - mse: 19.2597 - val_loss: 0.0245 - val_mse: 21.3054
Epoch 109/1000
0s - loss: 0.0226 - mse: 19.6521 - val_loss: 0.0241 - val_mse: 20.9552
Epoch 110/1000
0s - loss: 0.0218 - mse: 18.9423 - val_loss: 0.0251 - val_mse: 21.8652
Epoch 111/1000
0s - loss: 0.0221 - mse: 19.2622 - val_loss: 0.0240 - val_mse: 20.9202
Epoch 112/1000
0s - loss: 0.0215 - mse: 18.6840 - val_loss: 0.0237 - val_mse: 20.6319
Epoch 113/1000
0s - loss: 0.0216 - mse: 18.8076 - val_loss: 0.0235 - val_mse: 20.4379
Epoch 114/1000
0s - loss: 0.0212 - mse: 18.4738 - val_loss: 0.0239 - val_mse: 20.8021
Epoch 115/1000
0s - loss: 0.0211 - mse: 18.3895 - val_loss: 0.0236 - val_mse: 20.5278
Epoch 116/1000
0s - loss: 0.0209 - mse: 18.1937 - val_loss: 0.0229 - val_mse: 19.9410
Epoch 117/1000
0s - loss: 0.0207 - mse: 18.0394 - val_loss: 0.0227 - val_mse: 19.8030
Epoch 118/1000
0s - loss: 0.0206 - mse: 17.9044 - val_loss: 0.0229 - val_mse: 19.9258
Epoch 119/1000
0s - loss: 0.0203 - mse: 17.7166 - val_loss: 0.0227 - val_mse: 19.8014
Epoch 120/1000
0s - loss: 0.0202 - mse: 17.5823 - val_loss: 0.0222 - val_mse: 19.2955
Epoch 121/1000
0s - loss: 0.0200 - mse: 17.4346 - val_loss: 0.0220 - val_mse: 19.1408
Epoch 122/1000
0s - loss: 0.0198 - mse: 17.2740 - val_loss: 0.0222 - val_mse: 19.2996
Epoch 123/1000
0s - loss: 0.0197 - mse: 17.1565 - val_loss: 0.0219 - val_mse: 19.1112
Epoch 124/1000
0s - loss: 0.0195 - mse: 16.9721 - val_loss: 0.0216 - val_mse: 18.7817
Epoch 125/1000
0s - loss: 0.0194 - mse: 16.8978 - val_loss: 0.0214 - val_mse: 18.6547
Epoch 126/1000
0s - loss: 0.0192 - mse: 16.6854 - val_loss: 0.0216 - val_mse: 18.7956
Epoch 127/1000
0s - loss: 0.0191 - mse: 16.6370 - val_loss: 0.0212 - val_mse: 18.4505
Epoch 128/1000
0s - loss: 0.0189 - mse: 16.4264 - val_loss: 0.0210 - val_mse: 18.2642
Epoch 129/1000
0s - loss: 0.0188 - mse: 16.3672 - val_loss: 0.0210 - val_mse: 18.2689
Epoch 130/1000
0s - loss: 0.0186 - mse: 16.2127 - val_loss: 0.0208 - val_mse: 18.1495
Epoch 131/1000
0s - loss: 0.0185 - mse: 16.0798 - val_loss: 0.0206 - val_mse: 17.9268
Epoch 132/1000
0s - loss: 0.0184 - mse: 16.0142 - val_loss: 0.0205 - val_mse: 17.8322
Epoch 133/1000
0s - loss: 0.0182 - mse: 15.8235 - val_loss: 0.0205 - val_mse: 17.8225
Epoch 134/1000
0s - loss: 0.0181 - mse: 15.7699 - val_loss: 0.0202 - val_mse: 17.5621
Epoch 135/1000
0s - loss: 0.0180 - mse: 15.6445 - val_loss: 0.0201 - val_mse: 17.4961
Epoch 136/1000
0s - loss: 0.0178 - mse: 15.5028 - val_loss: 0.0201 - val_mse: 17.5074
Epoch 137/1000
0s - loss: 0.0177 - mse: 15.4404 - val_loss: 0.0198 - val_mse: 17.2474
Epoch 138/1000
0s - loss: 0.0176 - mse: 15.3183 - val_loss: 0.0197 - val_mse: 17.1875
Epoch 139/1000
0s - loss: 0.0174 - mse: 15.1860 - val_loss: 0.0197 - val_mse: 17.1865
Epoch 140/1000
0s - loss: 0.0174 - mse: 15.1162 - val_loss: 0.0195 - val_mse: 16.9525
Epoch 141/1000
0s - loss: 0.0172 - mse: 15.0198 - val_loss: 0.0194 - val_mse: 16.9141
Epoch 142/1000
0s - loss: 0.0171 - mse: 14.8820 - val_loss: 0.0194 - val_mse: 16.8570
Epoch 143/1000
0s - loss: 0.0170 - mse: 14.7934 - val_loss: 0.0191 - val_mse: 16.6613
Epoch 144/1000
0s - loss: 0.0169 - mse: 14.7202 - val_loss: 0.0192 - val_mse: 16.6786
Epoch 145/1000
0s - loss: 0.0168 - mse: 14.6107 - val_loss: 0.0190 - val_mse: 16.5136
Epoch 146/1000
0s - loss: 0.0166 - mse: 14.4886 - val_loss: 0.0188 - val_mse: 16.4033
Epoch 147/1000
0s - loss: 0.0165 - mse: 14.3879 - val_loss: 0.0188 - val_mse: 16.4082
Epoch 148/1000
0s - loss: 0.0164 - mse: 14.3126 - val_loss: 0.0186 - val_mse: 16.2390
Epoch 149/1000
0s - loss: 0.0163 - mse: 14.2178 - val_loss: 0.0187 - val_mse: 16.2534
Epoch 150/1000
0s - loss: 0.0162 - mse: 14.1054 - val_loss: 0.0185 - val_mse: 16.0918
Epoch 151/1000
0s - loss: 0.0161 - mse: 13.9942 - val_loss: 0.0184 - val_mse: 16.0427
Epoch 152/1000
0s - loss: 0.0159 - mse: 13.8894 - val_loss: 0.0184 - val_mse: 16.0227
Epoch 153/1000
0s - loss: 0.0158 - mse: 13.8001 - val_loss: 0.0182 - val_mse: 15.8681
Epoch 154/1000
0s - loss: 0.0158 - mse: 13.7172 - val_loss: 0.0183 - val_mse: 15.9169
Epoch 155/1000
0s - loss: 0.0156 - mse: 13.6240 - val_loss: 0.0181 - val_mse: 15.7257
Epoch 156/1000
0s - loss: 0.0155 - mse: 13.5281 - val_loss: 0.0181 - val_mse: 15.7663
Epoch 157/1000
0s - loss: 0.0154 - mse: 13.4305 - val_loss: 0.0179 - val_mse: 15.5758
Epoch 158/1000
0s - loss: 0.0153 - mse: 13.3285 - val_loss: 0.0179 - val_mse: 15.6213
Epoch 159/1000
0s - loss: 0.0152 - mse: 13.2295 - val_loss: 0.0177 - val_mse: 15.4282
Epoch 160/1000
0s - loss: 0.0151 - mse: 13.1349 - val_loss: 0.0178 - val_mse: 15.4870
Epoch 161/1000
0s - loss: 0.0150 - mse: 13.0451 - val_loss: 0.0175 - val_mse: 15.2830
Epoch 162/1000
0s - loss: 0.0149 - mse: 12.9692 - val_loss: 0.0177 - val_mse: 15.4345
Epoch 163/1000
0s - loss: 0.0148 - mse: 12.9288 - val_loss: 0.0175 - val_mse: 15.2124
Epoch 164/1000
0s - loss: 0.0149 - mse: 12.9542 - val_loss: 0.0181 - val_mse: 15.7714
Epoch 165/1000
0s - loss: 0.0151 - mse: 13.1498 - val_loss: 0.0181 - val_mse: 15.7313
Epoch 166/1000

Epoch 00165: reducing learning rate to 0.00699999984354.
5s - loss: 0.0157 - mse: 13.6443 - val_loss: 0.0193 - val_mse: 16.8145
Epoch 167/1000
0s - loss: 0.0162 - mse: 14.1009 - val_loss: 0.0171 - val_mse: 14.8922
Epoch 168/1000
0s - loss: 0.0145 - mse: 12.6391 - val_loss: 0.0175 - val_mse: 15.2009
Epoch 169/1000
0s - loss: 0.0150 - mse: 13.0790 - val_loss: 0.0181 - val_mse: 15.7291
Epoch 170/1000
0s - loss: 0.0150 - mse: 13.0568 - val_loss: 0.0171 - val_mse: 14.8739
Epoch 171/1000
0s - loss: 0.0142 - mse: 12.3324 - val_loss: 0.0175 - val_mse: 15.1973
Epoch 172/1000
0s - loss: 0.0149 - mse: 12.9656 - val_loss: 0.0168 - val_mse: 14.5926
Epoch 173/1000
0s - loss: 0.0139 - mse: 12.0800 - val_loss: 0.0177 - val_mse: 15.4003
Epoch 174/1000
0s - loss: 0.0145 - mse: 12.6580 - val_loss: 0.0167 - val_mse: 14.5644
Epoch 175/1000
0s - loss: 0.0139 - mse: 12.0757 - val_loss: 0.0168 - val_mse: 14.6342
Epoch 176/1000
0s - loss: 0.0141 - mse: 12.2495 - val_loss: 0.0169 - val_mse: 14.7173
Epoch 177/1000
0s - loss: 0.0139 - mse: 12.0628 - val_loss: 0.0166 - val_mse: 14.4928
Epoch 178/1000
0s - loss: 0.0136 - mse: 11.8842 - val_loss: 0.0165 - val_mse: 14.3959
Epoch 179/1000
0s - loss: 0.0138 - mse: 12.0081 - val_loss: 0.0162 - val_mse: 14.1004
Epoch 180/1000
0s - loss: 0.0134 - mse: 11.6355 - val_loss: 0.0167 - val_mse: 14.5434
Epoch 181/1000
0s - loss: 0.0137 - mse: 11.8872 - val_loss: 0.0161 - val_mse: 13.9861
Epoch 182/1000
0s - loss: 0.0132 - mse: 11.4724 - val_loss: 0.0162 - val_mse: 14.1014
Epoch 183/1000
0s - loss: 0.0134 - mse: 11.6614 - val_loss: 0.0160 - val_mse: 13.9759
Epoch 184/1000
0s - loss: 0.0131 - mse: 11.3833 - val_loss: 0.0161 - val_mse: 14.0484
Epoch 185/1000
0s - loss: 0.0131 - mse: 11.4148 - val_loss: 0.0159 - val_mse: 13.8264
Epoch 186/1000
0s - loss: 0.0130 - mse: 11.3202 - val_loss: 0.0158 - val_mse: 13.7478
Epoch 187/1000
0s - loss: 0.0128 - mse: 11.1823 - val_loss: 0.0159 - val_mse: 13.8758
Epoch 188/1000
0s - loss: 0.0129 - mse: 11.2189 - val_loss: 0.0156 - val_mse: 13.5678
Epoch 189/1000
0s - loss: 0.0126 - mse: 11.0039 - val_loss: 0.0156 - val_mse: 13.5687
Epoch 190/1000
0s - loss: 0.0127 - mse: 11.0565 - val_loss: 0.0155 - val_mse: 13.5052
Epoch 191/1000
0s - loss: 0.0125 - mse: 10.8950 - val_loss: 0.0154 - val_mse: 13.4447
Epoch 192/1000
0s - loss: 0.0125 - mse: 10.8496 - val_loss: 0.0153 - val_mse: 13.2943
Epoch 193/1000
0s - loss: 0.0124 - mse: 10.8092 - val_loss: 0.0152 - val_mse: 13.2130
Epoch 194/1000
0s - loss: 0.0122 - mse: 10.6624 - val_loss: 0.0152 - val_mse: 13.2682
Epoch 195/1000
0s - loss: 0.0123 - mse: 10.6724 - val_loss: 0.0150 - val_mse: 13.0560
Epoch 196/1000
0s - loss: 0.0121 - mse: 10.5394 - val_loss: 0.0149 - val_mse: 13.0099
Epoch 197/1000
0s - loss: 0.0120 - mse: 10.4821 - val_loss: 0.0150 - val_mse: 13.0444
Epoch 198/1000
0s - loss: 0.0120 - mse: 10.4430 - val_loss: 0.0148 - val_mse: 12.8651
Epoch 199/1000
0s - loss: 0.0118 - mse: 10.3114 - val_loss: 0.0147 - val_mse: 12.8056
Epoch 200/1000
0s - loss: 0.0118 - mse: 10.2946 - val_loss: 0.0147 - val_mse: 12.7831
Epoch 201/1000
0s - loss: 0.0117 - mse: 10.2063 - val_loss: 0.0146 - val_mse: 12.6776
Epoch 202/1000
0s - loss: 0.0116 - mse: 10.1119 - val_loss: 0.0145 - val_mse: 12.5938
Epoch 203/1000
0s - loss: 0.0116 - mse: 10.0831 - val_loss: 0.0144 - val_mse: 12.5311
Epoch 204/1000
0s - loss: 0.0115 - mse: 9.9870 - val_loss: 0.0143 - val_mse: 12.4681
Epoch 205/1000
0s - loss: 0.0114 - mse: 9.9078 - val_loss: 0.0142 - val_mse: 12.3987
Epoch 206/1000
0s - loss: 0.0113 - mse: 9.8685 - val_loss: 0.0141 - val_mse: 12.3204
Epoch 207/1000
0s - loss: 0.0112 - mse: 9.7840 - val_loss: 0.0141 - val_mse: 12.2606
Epoch 208/1000
0s - loss: 0.0111 - mse: 9.7005 - val_loss: 0.0140 - val_mse: 12.2154
Epoch 209/1000
0s - loss: 0.0111 - mse: 9.6579 - val_loss: 0.0139 - val_mse: 12.1304
Epoch 210/1000
0s - loss: 0.0110 - mse: 9.5901 - val_loss: 0.0139 - val_mse: 12.0645
Epoch 211/1000
0s - loss: 0.0109 - mse: 9.4995 - val_loss: 0.0138 - val_mse: 12.0237
Epoch 212/1000
0s - loss: 0.0108 - mse: 9.4443 - val_loss: 0.0137 - val_mse: 11.9354
Epoch 213/1000
0s - loss: 0.0108 - mse: 9.3891 - val_loss: 0.0136 - val_mse: 11.8775
Epoch 214/1000
0s - loss: 0.0107 - mse: 9.3083 - val_loss: 0.0136 - val_mse: 11.8256
Epoch 215/1000
0s - loss: 0.0106 - mse: 9.2351 - val_loss: 0.0135 - val_mse: 11.7425
Epoch 216/1000
0s - loss: 0.0105 - mse: 9.1800 - val_loss: 0.0135 - val_mse: 11.7132
Epoch 217/1000
0s - loss: 0.0105 - mse: 9.1217 - val_loss: 0.0134 - val_mse: 11.6356
Epoch 218/1000
0s - loss: 0.0104 - mse: 9.0471 - val_loss: 0.0133 - val_mse: 11.5718
Epoch 219/1000
0s - loss: 0.0103 - mse: 8.9698 - val_loss: 0.0132 - val_mse: 11.5052
Epoch 220/1000
0s - loss: 0.0102 - mse: 8.9062 - val_loss: 0.0131 - val_mse: 11.4393
Epoch 221/1000
0s - loss: 0.0102 - mse: 8.8522 - val_loss: 0.0131 - val_mse: 11.4350
Epoch 222/1000
0s - loss: 0.0101 - mse: 8.7967 - val_loss: 0.0130 - val_mse: 11.3120
Epoch 223/1000
0s - loss: 0.0100 - mse: 8.7348 - val_loss: 0.0130 - val_mse: 11.3271
Epoch 224/1000
0s - loss: 0.0100 - mse: 8.6670 - val_loss: 0.0129 - val_mse: 11.2111
Epoch 225/1000
0s - loss: 0.0099 - mse: 8.5987 - val_loss: 0.0129 - val_mse: 11.1943
Epoch 226/1000
0s - loss: 0.0098 - mse: 8.5302 - val_loss: 0.0128 - val_mse: 11.1242
Epoch 227/1000
0s - loss: 0.0097 - mse: 8.4646 - val_loss: 0.0127 - val_mse: 11.0819
Epoch 228/1000
0s - loss: 0.0096 - mse: 8.4017 - val_loss: 0.0127 - val_mse: 11.0210
Epoch 229/1000
0s - loss: 0.0096 - mse: 8.3414 - val_loss: 0.0126 - val_mse: 11.0030
Epoch 230/1000
0s - loss: 0.0095 - mse: 8.2821 - val_loss: 0.0126 - val_mse: 10.9299
Epoch 231/1000
0s - loss: 0.0094 - mse: 8.2222 - val_loss: 0.0125 - val_mse: 10.8976
Epoch 232/1000
0s - loss: 0.0094 - mse: 8.1627 - val_loss: 0.0125 - val_mse: 10.8896
Epoch 233/1000
0s - loss: 0.0093 - mse: 8.1055 - val_loss: 0.0124 - val_mse: 10.7996
Epoch 234/1000
0s - loss: 0.0092 - mse: 8.0489 - val_loss: 0.0124 - val_mse: 10.8360
Epoch 235/1000
0s - loss: 0.0092 - mse: 7.9950 - val_loss: 0.0123 - val_mse: 10.7337
Epoch 236/1000
0s - loss: 0.0091 - mse: 7.9579 - val_loss: 0.0126 - val_mse: 10.9440
Epoch 237/1000
0s - loss: 0.0092 - mse: 7.9823 - val_loss: 0.0125 - val_mse: 10.9152
Epoch 238/1000

Epoch 00237: reducing learning rate to 0.00489999982528.
0s - loss: 0.0095 - mse: 8.2671 - val_loss: 0.0149 - val_mse: 12.9381
Epoch 239/1000
0s - loss: 0.0110 - mse: 9.5430 - val_loss: 0.0132 - val_mse: 11.5308
Epoch 240/1000
0s - loss: 0.0104 - mse: 9.0980 - val_loss: 0.0121 - val_mse: 10.5725
Epoch 241/1000
0s - loss: 0.0089 - mse: 7.7796 - val_loss: 0.0141 - val_mse: 12.3098
Epoch 242/1000
0s - loss: 0.0104 - mse: 9.0545 - val_loss: 0.0120 - val_mse: 10.4801
Epoch 243/1000
0s - loss: 0.0090 - mse: 7.8808 - val_loss: 0.0124 - val_mse: 10.8318
Epoch 244/1000
0s - loss: 0.0095 - mse: 8.2862 - val_loss: 0.0131 - val_mse: 11.4366
Epoch 245/1000
0s - loss: 0.0094 - mse: 8.2024 - val_loss: 0.0123 - val_mse: 10.7501
Epoch 246/1000
0s - loss: 0.0089 - mse: 7.7554 - val_loss: 0.0124 - val_mse: 10.7670
Epoch 247/1000
0s - loss: 0.0095 - mse: 8.2689 - val_loss: 0.0120 - val_mse: 10.4484
Epoch 248/1000
0s - loss: 0.0087 - mse: 7.5365 - val_loss: 0.0130 - val_mse: 11.3291
Epoch 249/1000
0s - loss: 0.0093 - mse: 8.0917 - val_loss: 0.0118 - val_mse: 10.2514
Epoch 250/1000
0s - loss: 0.0086 - mse: 7.4981 - val_loss: 0.0120 - val_mse: 10.4237
Epoch 251/1000
0s - loss: 0.0090 - mse: 7.8611 - val_loss: 0.0121 - val_mse: 10.5520
Epoch 252/1000
0s - loss: 0.0086 - mse: 7.5091 - val_loss: 0.0124 - val_mse: 10.7812
Epoch 253/1000
0s - loss: 0.0088 - mse: 7.6358 - val_loss: 0.0118 - val_mse: 10.2360
Epoch 254/1000

Epoch 00253: reducing learning rate to 0.00343000004068.
0s - loss: 0.0086 - mse: 7.5071 - val_loss: 0.0118 - val_mse: 10.2452
Epoch 255/1000
0s - loss: 0.0086 - mse: 7.4574 - val_loss: 0.0120 - val_mse: 10.4478
Epoch 256/1000
0s - loss: 0.0084 - mse: 7.3379 - val_loss: 0.0123 - val_mse: 10.7237
Epoch 257/1000
0s - loss: 0.0086 - mse: 7.4529 - val_loss: 0.0119 - val_mse: 10.3349
Epoch 258/1000
0s - loss: 0.0083 - mse: 7.2601 - val_loss: 0.0118 - val_mse: 10.2651
Epoch 259/1000
0s - loss: 0.0085 - mse: 7.3809 - val_loss: 0.0118 - val_mse: 10.2412
Epoch 260/1000
0s - loss: 0.0083 - mse: 7.2432 - val_loss: 0.0121 - val_mse: 10.5083
Epoch 261/1000
0s - loss: 0.0084 - mse: 7.2756 - val_loss: 0.0120 - val_mse: 10.4778
Epoch 262/1000
0s - loss: 0.0083 - mse: 7.2408 - val_loss: 0.0117 - val_mse: 10.2101
Epoch 263/1000
0s - loss: 0.0082 - mse: 7.1833 - val_loss: 0.0117 - val_mse: 10.1567
Epoch 264/1000
0s - loss: 0.0083 - mse: 7.2211 - val_loss: 0.0117 - val_mse: 10.2037
Epoch 265/1000
0s - loss: 0.0082 - mse: 7.1229 - val_loss: 0.0119 - val_mse: 10.3986
Epoch 266/1000
0s - loss: 0.0082 - mse: 7.1725 - val_loss: 0.0118 - val_mse: 10.2552
Epoch 267/1000
0s - loss: 0.0081 - mse: 7.0904 - val_loss: 0.0116 - val_mse: 10.1319
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.00240100002848.
0s - loss: 0.0082 - mse: 7.1088 - val_loss: 0.0116 - val_mse: 10.1145
Epoch 269/1000
0s - loss: 0.0081 - mse: 7.0679 - val_loss: 0.0117 - val_mse: 10.1936
Epoch 270/1000
0s - loss: 0.0081 - mse: 7.0365 - val_loss: 0.0118 - val_mse: 10.3003
Epoch 271/1000
0s - loss: 0.0081 - mse: 7.0508 - val_loss: 0.0118 - val_mse: 10.2603
Epoch 272/1000
0s - loss: 0.0081 - mse: 7.0177 - val_loss: 0.0117 - val_mse: 10.1695
Epoch 273/1000
0s - loss: 0.0080 - mse: 7.0009 - val_loss: 0.0116 - val_mse: 10.1347
Epoch 274/1000
0s - loss: 0.0080 - mse: 7.0055 - val_loss: 0.0117 - val_mse: 10.1506
Epoch 275/1000
0s - loss: 0.0080 - mse: 6.9734 - val_loss: 0.0117 - val_mse: 10.2255
Epoch 276/1000
0s - loss: 0.0080 - mse: 6.9662 - val_loss: 0.0118 - val_mse: 10.2514
Epoch 277/1000
0s - loss: 0.0080 - mse: 6.9606 - val_loss: 0.0117 - val_mse: 10.1841
Epoch 278/1000
0s - loss: 0.0080 - mse: 6.9331 - val_loss: 0.0116 - val_mse: 10.1302
Epoch 279/1000
0s - loss: 0.0080 - mse: 6.9298 - val_loss: 0.0116 - val_mse: 10.1189
Epoch 280/1000
0s - loss: 0.0079 - mse: 6.9171 - val_loss: 0.0117 - val_mse: 10.1498
Epoch 281/1000
0s - loss: 0.0079 - mse: 6.8960 - val_loss: 0.0117 - val_mse: 10.1919
Epoch 282/1000

Epoch 00281: reducing learning rate to 0.00168070008513.
0s - loss: 0.0079 - mse: 6.8924 - val_loss: 0.0117 - val_mse: 10.1703
Epoch 283/1000
0s - loss: 0.0079 - mse: 6.8759 - val_loss: 0.0116 - val_mse: 10.1328
Epoch 284/1000
0s - loss: 0.0079 - mse: 6.8631 - val_loss: 0.0116 - val_mse: 10.1084
Epoch 285/1000
0s - loss: 0.0079 - mse: 6.8583 - val_loss: 0.0116 - val_mse: 10.1091
Epoch 286/1000
0s - loss: 0.0079 - mse: 6.8506 - val_loss: 0.0116 - val_mse: 10.1309
Epoch 287/1000
0s - loss: 0.0079 - mse: 6.8382 - val_loss: 0.0117 - val_mse: 10.1581
Epoch 288/1000
0s - loss: 0.0078 - mse: 6.8309 - val_loss: 0.0117 - val_mse: 10.1647
Epoch 289/1000
0s - loss: 0.0078 - mse: 6.8246 - val_loss: 0.0116 - val_mse: 10.1434
Epoch 290/1000
0s - loss: 0.0078 - mse: 6.8138 - val_loss: 0.0116 - val_mse: 10.1187
Epoch 291/1000
0s - loss: 0.0078 - mse: 6.8049 - val_loss: 0.0116 - val_mse: 10.1116
Epoch 292/1000
0s - loss: 0.0078 - mse: 6.7985 - val_loss: 0.0116 - val_mse: 10.1249
Epoch 293/1000
0s - loss: 0.0078 - mse: 6.7892 - val_loss: 0.0117 - val_mse: 10.1462
Epoch 294/1000
0s - loss: 0.0078 - mse: 6.7799 - val_loss: 0.0117 - val_mse: 10.1581
[{'loss': 0.0077854436822235584, 'dropout': 0.0, 'val_mse': 10.15809154510498, 'width': 75, 'mse': 6.7798690795898438, 'val_loss': 0.011664718389511108}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_71 (LSTM)               (None, None, 90)          33480     
_________________________________________________________________
time_distributed_68 (TimeDis (None, None, 1)           91        
=================================================================
Total params: 33,571
Trainable params: 33,571
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 1.1689 - mse: 1017.9467 - val_loss: 0.7711 - val_mse: 671.5232
Epoch 2/1000
0s - loss: 0.7222 - mse: 628.8787 - val_loss: 0.4866 - val_mse: 423.7838
Epoch 3/1000
0s - loss: 0.4451 - mse: 387.6071 - val_loss: 0.2882 - val_mse: 250.9570
Epoch 4/1000
0s - loss: 0.2730 - mse: 237.7436 - val_loss: 0.2968 - val_mse: 258.4979
Epoch 5/1000
0s - loss: 0.3043 - mse: 265.0014 - val_loss: 0.2375 - val_mse: 206.8383
Epoch 6/1000
0s - loss: 0.2386 - mse: 207.8196 - val_loss: 0.2042 - val_mse: 177.8098
Epoch 7/1000
0s - loss: 0.2003 - mse: 174.4047 - val_loss: 0.1798 - val_mse: 156.6105
Epoch 8/1000
0s - loss: 0.1727 - mse: 150.4045 - val_loss: 0.1723 - val_mse: 150.0242
Epoch 9/1000
0s - loss: 0.1625 - mse: 141.5265 - val_loss: 0.1568 - val_mse: 136.5253
Epoch 10/1000
0s - loss: 0.1462 - mse: 127.3133 - val_loss: 0.1350 - val_mse: 117.5821
Epoch 11/1000
0s - loss: 0.1236 - mse: 107.6595 - val_loss: 0.1207 - val_mse: 105.0946
Epoch 12/1000
0s - loss: 0.1059 - mse: 92.2429 - val_loss: 0.1273 - val_mse: 110.8262
Epoch 13/1000
0s - loss: 0.1055 - mse: 91.9039 - val_loss: 0.1473 - val_mse: 128.2342
Epoch 14/1000
0s - loss: 0.1189 - mse: 103.5282 - val_loss: 0.1500 - val_mse: 130.6197
Epoch 15/1000
0s - loss: 0.1216 - mse: 105.8953 - val_loss: 0.1324 - val_mse: 115.2597
Epoch 16/1000
0s - loss: 0.1093 - mse: 95.2205 - val_loss: 0.1160 - val_mse: 101.0091
Epoch 17/1000
0s - loss: 0.0987 - mse: 85.9769 - val_loss: 0.1085 - val_mse: 94.5107
Epoch 18/1000
0s - loss: 0.0952 - mse: 82.8744 - val_loss: 0.1046 - val_mse: 91.0584
Epoch 19/1000
0s - loss: 0.0934 - mse: 81.3417 - val_loss: 0.0988 - val_mse: 86.0817
Epoch 20/1000
0s - loss: 0.0888 - mse: 77.3508 - val_loss: 0.0912 - val_mse: 79.4101
Epoch 21/1000
0s - loss: 0.0816 - mse: 71.0862 - val_loss: 0.0857 - val_mse: 74.6599
Epoch 22/1000
0s - loss: 0.0764 - mse: 66.5091 - val_loss: 0.0848 - val_mse: 73.8122
Epoch 23/1000
0s - loss: 0.0759 - mse: 66.1358 - val_loss: 0.0829 - val_mse: 72.1989
Epoch 24/1000
0s - loss: 0.0754 - mse: 65.6782 - val_loss: 0.0784 - val_mse: 68.2340
Epoch 25/1000
0s - loss: 0.0723 - mse: 62.9746 - val_loss: 0.0759 - val_mse: 66.0964
Epoch 26/1000
0s - loss: 0.0709 - mse: 61.7309 - val_loss: 0.0743 - val_mse: 64.7323
Epoch 27/1000
0s - loss: 0.0699 - mse: 60.8590 - val_loss: 0.0713 - val_mse: 62.1018
Epoch 28/1000
0s - loss: 0.0669 - mse: 58.2767 - val_loss: 0.0677 - val_mse: 58.9364
Epoch 29/1000
0s - loss: 0.0630 - mse: 54.8728 - val_loss: 0.0657 - val_mse: 57.1875
Epoch 30/1000
0s - loss: 0.0606 - mse: 52.8087 - val_loss: 0.0642 - val_mse: 55.9155
Epoch 31/1000
0s - loss: 0.0591 - mse: 51.4580 - val_loss: 0.0623 - val_mse: 54.2165
Epoch 32/1000
0s - loss: 0.0575 - mse: 50.0441 - val_loss: 0.0606 - val_mse: 52.7365
Epoch 33/1000
0s - loss: 0.0562 - mse: 48.9830 - val_loss: 0.0588 - val_mse: 51.2029
Epoch 34/1000
0s - loss: 0.0549 - mse: 47.7684 - val_loss: 0.0568 - val_mse: 49.4856
Epoch 35/1000
0s - loss: 0.0529 - mse: 46.0775 - val_loss: 0.0559 - val_mse: 48.6573
Epoch 36/1000
0s - loss: 0.0516 - mse: 44.9120 - val_loss: 0.0553 - val_mse: 48.1760
Epoch 37/1000
0s - loss: 0.0505 - mse: 43.9969 - val_loss: 0.0536 - val_mse: 46.7188
Epoch 38/1000
0s - loss: 0.0486 - mse: 42.3453 - val_loss: 0.0514 - val_mse: 44.7624
Epoch 39/1000
0s - loss: 0.0465 - mse: 40.4816 - val_loss: 0.0501 - val_mse: 43.6472
Epoch 40/1000
0s - loss: 0.0455 - mse: 39.6240 - val_loss: 0.0494 - val_mse: 42.9881
Epoch 41/1000
0s - loss: 0.0449 - mse: 39.0971 - val_loss: 0.0485 - val_mse: 42.1955
Epoch 42/1000
0s - loss: 0.0442 - mse: 38.4499 - val_loss: 0.0473 - val_mse: 41.1911
Epoch 43/1000
0s - loss: 0.0432 - mse: 37.6146 - val_loss: 0.0470 - val_mse: 40.9027
Epoch 44/1000
0s - loss: 0.0427 - mse: 37.2005 - val_loss: 0.0467 - val_mse: 40.7108
Epoch 45/1000
0s - loss: 0.0421 - mse: 36.6458 - val_loss: 0.0456 - val_mse: 39.7331
Epoch 46/1000
0s - loss: 0.0408 - mse: 35.5064 - val_loss: 0.0445 - val_mse: 38.7611
Epoch 47/1000
0s - loss: 0.0397 - mse: 34.5735 - val_loss: 0.0439 - val_mse: 38.2102
Epoch 48/1000
0s - loss: 0.0391 - mse: 34.0115 - val_loss: 0.0427 - val_mse: 37.1598
Epoch 49/1000
0s - loss: 0.0382 - mse: 33.2887 - val_loss: 0.0412 - val_mse: 35.8704
Epoch 50/1000
0s - loss: 0.0372 - mse: 32.4139 - val_loss: 0.0404 - val_mse: 35.1791
Epoch 51/1000
0s - loss: 0.0366 - mse: 31.8906 - val_loss: 0.0397 - val_mse: 34.5372
Epoch 52/1000
0s - loss: 0.0362 - mse: 31.5176 - val_loss: 0.0388 - val_mse: 33.7949
Epoch 53/1000
0s - loss: 0.0354 - mse: 30.8307 - val_loss: 0.0379 - val_mse: 33.0395
Epoch 54/1000
0s - loss: 0.0345 - mse: 30.0703 - val_loss: 0.0373 - val_mse: 32.4733
Epoch 55/1000
0s - loss: 0.0340 - mse: 29.6459 - val_loss: 0.0369 - val_mse: 32.1319
Epoch 56/1000
0s - loss: 0.0336 - mse: 29.2657 - val_loss: 0.0359 - val_mse: 31.2196
Epoch 57/1000
0s - loss: 0.0329 - mse: 28.6334 - val_loss: 0.0353 - val_mse: 30.7336
Epoch 58/1000
0s - loss: 0.0324 - mse: 28.1896 - val_loss: 0.0348 - val_mse: 30.3405
Epoch 59/1000
0s - loss: 0.0321 - mse: 27.9593 - val_loss: 0.0343 - val_mse: 29.8537
Epoch 60/1000
0s - loss: 0.0316 - mse: 27.5143 - val_loss: 0.0337 - val_mse: 29.3349
Epoch 61/1000
0s - loss: 0.0310 - mse: 27.0123 - val_loss: 0.0333 - val_mse: 28.9627
Epoch 62/1000
0s - loss: 0.0306 - mse: 26.6872 - val_loss: 0.0330 - val_mse: 28.6981
Epoch 63/1000
0s - loss: 0.0302 - mse: 26.2840 - val_loss: 0.0323 - val_mse: 28.1414
Epoch 64/1000
0s - loss: 0.0297 - mse: 25.8952 - val_loss: 0.0325 - val_mse: 28.3342
Epoch 65/1000
0s - loss: 0.0296 - mse: 25.8011 - val_loss: 0.0319 - val_mse: 27.7485
Epoch 66/1000
0s - loss: 0.0295 - mse: 25.6494 - val_loss: 0.0322 - val_mse: 28.0457
Epoch 67/1000
0s - loss: 0.0293 - mse: 25.5013 - val_loss: 0.0310 - val_mse: 26.9615
Epoch 68/1000
0s - loss: 0.0286 - mse: 24.9344 - val_loss: 0.0308 - val_mse: 26.8423
Epoch 69/1000
0s - loss: 0.0280 - mse: 24.3908 - val_loss: 0.0298 - val_mse: 25.9688
Epoch 70/1000
0s - loss: 0.0273 - mse: 23.7451 - val_loss: 0.0295 - val_mse: 25.6842
Epoch 71/1000
0s - loss: 0.0270 - mse: 23.5173 - val_loss: 0.0297 - val_mse: 25.8602
Epoch 72/1000
0s - loss: 0.0270 - mse: 23.4893 - val_loss: 0.0289 - val_mse: 25.1849
Epoch 73/1000
0s - loss: 0.0265 - mse: 23.1024 - val_loss: 0.0286 - val_mse: 24.9366
Epoch 74/1000
0s - loss: 0.0261 - mse: 22.6954 - val_loss: 0.0286 - val_mse: 24.8836
Epoch 75/1000
0s - loss: 0.0259 - mse: 22.5440 - val_loss: 0.0282 - val_mse: 24.5184
Epoch 76/1000
0s - loss: 0.0257 - mse: 22.3783 - val_loss: 0.0281 - val_mse: 24.4637
Epoch 77/1000
0s - loss: 0.0253 - mse: 22.0511 - val_loss: 0.0276 - val_mse: 24.0318
Epoch 78/1000
0s - loss: 0.0249 - mse: 21.6998 - val_loss: 0.0273 - val_mse: 23.8117
Epoch 79/1000
0s - loss: 0.0247 - mse: 21.5008 - val_loss: 0.0274 - val_mse: 23.8791
Epoch 80/1000
0s - loss: 0.0245 - mse: 21.3657 - val_loss: 0.0269 - val_mse: 23.4348
Epoch 81/1000
0s - loss: 0.0243 - mse: 21.1258 - val_loss: 0.0268 - val_mse: 23.3261
Epoch 82/1000
0s - loss: 0.0239 - mse: 20.8356 - val_loss: 0.0264 - val_mse: 23.0040
Epoch 83/1000
0s - loss: 0.0236 - mse: 20.5791 - val_loss: 0.0261 - val_mse: 22.7670
Epoch 84/1000
0s - loss: 0.0234 - mse: 20.3929 - val_loss: 0.0261 - val_mse: 22.7244
Epoch 85/1000
0s - loss: 0.0232 - mse: 20.2341 - val_loss: 0.0257 - val_mse: 22.3482
Epoch 86/1000
0s - loss: 0.0230 - mse: 20.0547 - val_loss: 0.0257 - val_mse: 22.3487
Epoch 87/1000
0s - loss: 0.0228 - mse: 19.8529 - val_loss: 0.0252 - val_mse: 21.9491
Epoch 88/1000
0s - loss: 0.0225 - mse: 19.6084 - val_loss: 0.0251 - val_mse: 21.8521
Epoch 89/1000
0s - loss: 0.0222 - mse: 19.3688 - val_loss: 0.0248 - val_mse: 21.6106
Epoch 90/1000
0s - loss: 0.0220 - mse: 19.1547 - val_loss: 0.0246 - val_mse: 21.4359
Epoch 91/1000
0s - loss: 0.0218 - mse: 18.9614 - val_loss: 0.0246 - val_mse: 21.3889
Epoch 92/1000
0s - loss: 0.0216 - mse: 18.7906 - val_loss: 0.0243 - val_mse: 21.1472
Epoch 93/1000
0s - loss: 0.0214 - mse: 18.6387 - val_loss: 0.0244 - val_mse: 21.2902
Epoch 94/1000
0s - loss: 0.0213 - mse: 18.5178 - val_loss: 0.0241 - val_mse: 20.9573
Epoch 95/1000
0s - loss: 0.0212 - mse: 18.4373 - val_loss: 0.0246 - val_mse: 21.4504
Epoch 96/1000
0s - loss: 0.0213 - mse: 18.5082 - val_loss: 0.0241 - val_mse: 20.9613
Epoch 97/1000
0s - loss: 0.0213 - mse: 18.5907 - val_loss: 0.0252 - val_mse: 21.9584
Epoch 98/1000
0s - loss: 0.0218 - mse: 18.9418 - val_loss: 0.0238 - val_mse: 20.7062
Epoch 99/1000
0s - loss: 0.0212 - mse: 18.4685 - val_loss: 0.0237 - val_mse: 20.6669
Epoch 100/1000
0s - loss: 0.0205 - mse: 17.8315 - val_loss: 0.0226 - val_mse: 19.7007
Epoch 101/1000
0s - loss: 0.0197 - mse: 17.1490 - val_loss: 0.0225 - val_mse: 19.6121
Epoch 102/1000
0s - loss: 0.0198 - mse: 17.2449 - val_loss: 0.0233 - val_mse: 20.2928
Epoch 103/1000
0s - loss: 0.0201 - mse: 17.4781 - val_loss: 0.0221 - val_mse: 19.2886
Epoch 104/1000
0s - loss: 0.0194 - mse: 16.8845 - val_loss: 0.0219 - val_mse: 19.0732
Epoch 105/1000
0s - loss: 0.0189 - mse: 16.4314 - val_loss: 0.0222 - val_mse: 19.3533
Epoch 106/1000
0s - loss: 0.0189 - mse: 16.4984 - val_loss: 0.0218 - val_mse: 18.9458
Epoch 107/1000
0s - loss: 0.0189 - mse: 16.4332 - val_loss: 0.0218 - val_mse: 18.9672
Epoch 108/1000
0s - loss: 0.0184 - mse: 16.0606 - val_loss: 0.0213 - val_mse: 18.5161
Epoch 109/1000
0s - loss: 0.0181 - mse: 15.7209 - val_loss: 0.0211 - val_mse: 18.3367
Epoch 110/1000
0s - loss: 0.0180 - mse: 15.6887 - val_loss: 0.0214 - val_mse: 18.6257
Epoch 111/1000
0s - loss: 0.0180 - mse: 15.6683 - val_loss: 0.0206 - val_mse: 17.9814
Epoch 112/1000
0s - loss: 0.0176 - mse: 15.3445 - val_loss: 0.0205 - val_mse: 17.8394
Epoch 113/1000
0s - loss: 0.0172 - mse: 15.0030 - val_loss: 0.0204 - val_mse: 17.7533
Epoch 114/1000
0s - loss: 0.0171 - mse: 14.8506 - val_loss: 0.0201 - val_mse: 17.5225
Epoch 115/1000
0s - loss: 0.0170 - mse: 14.8025 - val_loss: 0.0204 - val_mse: 17.8068
Epoch 116/1000
0s - loss: 0.0169 - mse: 14.6988 - val_loss: 0.0198 - val_mse: 17.2772
Epoch 117/1000
0s - loss: 0.0166 - mse: 14.4363 - val_loss: 0.0199 - val_mse: 17.3304
Epoch 118/1000
0s - loss: 0.0162 - mse: 14.1510 - val_loss: 0.0195 - val_mse: 16.9397
Epoch 119/1000
0s - loss: 0.0159 - mse: 13.8772 - val_loss: 0.0193 - val_mse: 16.8285
Epoch 120/1000
0s - loss: 0.0157 - mse: 13.6559 - val_loss: 0.0192 - val_mse: 16.7038
Epoch 121/1000
0s - loss: 0.0155 - mse: 13.4720 - val_loss: 0.0189 - val_mse: 16.4494
Epoch 122/1000
0s - loss: 0.0153 - mse: 13.3284 - val_loss: 0.0191 - val_mse: 16.6502
Epoch 123/1000
0s - loss: 0.0153 - mse: 13.2945 - val_loss: 0.0189 - val_mse: 16.4872
Epoch 124/1000
0s - loss: 0.0156 - mse: 13.6030 - val_loss: 0.0218 - val_mse: 18.9687
Epoch 125/1000
0s - loss: 0.0178 - mse: 15.4708 - val_loss: 0.0240 - val_mse: 20.9099
Epoch 126/1000

Epoch 00125: reducing learning rate to 0.00699999984354.
5s - loss: 0.0220 - mse: 19.1540 - val_loss: 0.0308 - val_mse: 26.8605
Epoch 127/1000
0s - loss: 0.0273 - mse: 23.8030 - val_loss: 0.0193 - val_mse: 16.7915
Epoch 128/1000
0s - loss: 0.0160 - mse: 13.9250 - val_loss: 0.0247 - val_mse: 21.5441
Epoch 129/1000
0s - loss: 0.0235 - mse: 20.4515 - val_loss: 0.0183 - val_mse: 15.9360
Epoch 130/1000
0s - loss: 0.0161 - mse: 14.0379 - val_loss: 0.0216 - val_mse: 18.7689
Epoch 131/1000
0s - loss: 0.0184 - mse: 15.9888 - val_loss: 0.0223 - val_mse: 19.4520
Epoch 132/1000
0s - loss: 0.0190 - mse: 16.5116 - val_loss: 0.0174 - val_mse: 15.1169
Epoch 133/1000
0s - loss: 0.0144 - mse: 12.5201 - val_loss: 0.0208 - val_mse: 18.0981
Epoch 134/1000
0s - loss: 0.0185 - mse: 16.1524 - val_loss: 0.0183 - val_mse: 15.9542
Epoch 135/1000
0s - loss: 0.0155 - mse: 13.4653 - val_loss: 0.0187 - val_mse: 16.2763
Epoch 136/1000
0s - loss: 0.0150 - mse: 13.0644 - val_loss: 0.0209 - val_mse: 18.2374
Epoch 137/1000
0s - loss: 0.0170 - mse: 14.8253 - val_loss: 0.0181 - val_mse: 15.7500
Epoch 138/1000
0s - loss: 0.0144 - mse: 12.5487 - val_loss: 0.0177 - val_mse: 15.4385
Epoch 139/1000
0s - loss: 0.0147 - mse: 12.8421 - val_loss: 0.0185 - val_mse: 16.0820
Epoch 140/1000
0s - loss: 0.0158 - mse: 13.7527 - val_loss: 0.0168 - val_mse: 14.6223
Epoch 141/1000
0s - loss: 0.0137 - mse: 11.9545 - val_loss: 0.0177 - val_mse: 15.3931
Epoch 142/1000
0s - loss: 0.0144 - mse: 12.5057 - val_loss: 0.0181 - val_mse: 15.7972
Epoch 143/1000
0s - loss: 0.0149 - mse: 12.9502 - val_loss: 0.0165 - val_mse: 14.3844
Epoch 144/1000
0s - loss: 0.0135 - mse: 11.7442 - val_loss: 0.0164 - val_mse: 14.3085
Epoch 145/1000
0s - loss: 0.0138 - mse: 11.9848 - val_loss: 0.0168 - val_mse: 14.5935
Epoch 146/1000
0s - loss: 0.0142 - mse: 12.3309 - val_loss: 0.0161 - val_mse: 13.9850
Epoch 147/1000
0s - loss: 0.0131 - mse: 11.4164 - val_loss: 0.0166 - val_mse: 14.4512
Epoch 148/1000
0s - loss: 0.0133 - mse: 11.6026 - val_loss: 0.0169 - val_mse: 14.7194
Epoch 149/1000
0s - loss: 0.0135 - mse: 11.7902 - val_loss: 0.0160 - val_mse: 13.9467
Epoch 150/1000
0s - loss: 0.0128 - mse: 11.1251 - val_loss: 0.0159 - val_mse: 13.8675
Epoch 151/1000
0s - loss: 0.0129 - mse: 11.2579 - val_loss: 0.0160 - val_mse: 13.9658
Epoch 152/1000
0s - loss: 0.0131 - mse: 11.3788 - val_loss: 0.0157 - val_mse: 13.6568
Epoch 153/1000
0s - loss: 0.0124 - mse: 10.8330 - val_loss: 0.0160 - val_mse: 13.9672
Epoch 154/1000
0s - loss: 0.0126 - mse: 10.9537 - val_loss: 0.0161 - val_mse: 13.9820
Epoch 155/1000
0s - loss: 0.0126 - mse: 10.9852 - val_loss: 0.0153 - val_mse: 13.3663
Epoch 156/1000
0s - loss: 0.0121 - mse: 10.5683 - val_loss: 0.0152 - val_mse: 13.2238
Epoch 157/1000
0s - loss: 0.0123 - mse: 10.6720 - val_loss: 0.0151 - val_mse: 13.1593
Epoch 158/1000
0s - loss: 0.0122 - mse: 10.6516 - val_loss: 0.0149 - val_mse: 13.0061
Epoch 159/1000
0s - loss: 0.0119 - mse: 10.3364 - val_loss: 0.0152 - val_mse: 13.2300
Epoch 160/1000
0s - loss: 0.0120 - mse: 10.4206 - val_loss: 0.0151 - val_mse: 13.1453
Epoch 161/1000
0s - loss: 0.0119 - mse: 10.3321 - val_loss: 0.0147 - val_mse: 12.7826
Epoch 162/1000
0s - loss: 0.0116 - mse: 10.1007 - val_loss: 0.0146 - val_mse: 12.7186
Epoch 163/1000
0s - loss: 0.0117 - mse: 10.1770 - val_loss: 0.0145 - val_mse: 12.6157
Epoch 164/1000
0s - loss: 0.0115 - mse: 10.0392 - val_loss: 0.0145 - val_mse: 12.6294
Epoch 165/1000
0s - loss: 0.0114 - mse: 9.8994 - val_loss: 0.0147 - val_mse: 12.7649
Epoch 166/1000
0s - loss: 0.0114 - mse: 9.9433 - val_loss: 0.0144 - val_mse: 12.5629
Epoch 167/1000
0s - loss: 0.0112 - mse: 9.7820 - val_loss: 0.0142 - val_mse: 12.3510
Epoch 168/1000
0s - loss: 0.0111 - mse: 9.7068 - val_loss: 0.0141 - val_mse: 12.2594
Epoch 169/1000
0s - loss: 0.0111 - mse: 9.6969 - val_loss: 0.0140 - val_mse: 12.1746
Epoch 170/1000
0s - loss: 0.0110 - mse: 9.5454 - val_loss: 0.0141 - val_mse: 12.2602
Epoch 171/1000
0s - loss: 0.0109 - mse: 9.5180 - val_loss: 0.0141 - val_mse: 12.2374
Epoch 172/1000
0s - loss: 0.0109 - mse: 9.4527 - val_loss: 0.0139 - val_mse: 12.0642
Epoch 173/1000
0s - loss: 0.0107 - mse: 9.3418 - val_loss: 0.0137 - val_mse: 11.9540
Epoch 174/1000
0s - loss: 0.0107 - mse: 9.3177 - val_loss: 0.0137 - val_mse: 11.8887
Epoch 175/1000
0s - loss: 0.0106 - mse: 9.2244 - val_loss: 0.0137 - val_mse: 11.9505
Epoch 176/1000
0s - loss: 0.0105 - mse: 9.1511 - val_loss: 0.0138 - val_mse: 12.0244
Epoch 177/1000
0s - loss: 0.0105 - mse: 9.1099 - val_loss: 0.0137 - val_mse: 11.9137
Epoch 178/1000
0s - loss: 0.0104 - mse: 9.0168 - val_loss: 0.0135 - val_mse: 11.7538
Epoch 179/1000
0s - loss: 0.0103 - mse: 8.9667 - val_loss: 0.0134 - val_mse: 11.6638
Epoch 180/1000
0s - loss: 0.0102 - mse: 8.9082 - val_loss: 0.0134 - val_mse: 11.6753
Epoch 181/1000
0s - loss: 0.0101 - mse: 8.8264 - val_loss: 0.0135 - val_mse: 11.7253
Epoch 182/1000
0s - loss: 0.0101 - mse: 8.7867 - val_loss: 0.0133 - val_mse: 11.5904
Epoch 183/1000
0s - loss: 0.0100 - mse: 8.7106 - val_loss: 0.0131 - val_mse: 11.3963
Epoch 184/1000
0s - loss: 0.0099 - mse: 8.6541 - val_loss: 0.0130 - val_mse: 11.3213
Epoch 185/1000
0s - loss: 0.0099 - mse: 8.6019 - val_loss: 0.0131 - val_mse: 11.3687
Epoch 186/1000
0s - loss: 0.0098 - mse: 8.5304 - val_loss: 0.0131 - val_mse: 11.4227
Epoch 187/1000
0s - loss: 0.0097 - mse: 8.4878 - val_loss: 0.0130 - val_mse: 11.3128
Epoch 188/1000
0s - loss: 0.0097 - mse: 8.4202 - val_loss: 0.0128 - val_mse: 11.1845
Epoch 189/1000
0s - loss: 0.0096 - mse: 8.3729 - val_loss: 0.0128 - val_mse: 11.1640
Epoch 190/1000
0s - loss: 0.0096 - mse: 8.3176 - val_loss: 0.0129 - val_mse: 11.2137
Epoch 191/1000
0s - loss: 0.0095 - mse: 8.2617 - val_loss: 0.0129 - val_mse: 11.1992
Epoch 192/1000
0s - loss: 0.0094 - mse: 8.2139 - val_loss: 0.0127 - val_mse: 11.0891
Epoch 193/1000
0s - loss: 0.0094 - mse: 8.1567 - val_loss: 0.0126 - val_mse: 11.0023
Epoch 194/1000
0s - loss: 0.0093 - mse: 8.1081 - val_loss: 0.0126 - val_mse: 10.9716
Epoch 195/1000
0s - loss: 0.0093 - mse: 8.0558 - val_loss: 0.0126 - val_mse: 10.9669
Epoch 196/1000
0s - loss: 0.0092 - mse: 8.0040 - val_loss: 0.0126 - val_mse: 10.9489
Epoch 197/1000
0s - loss: 0.0091 - mse: 7.9566 - val_loss: 0.0125 - val_mse: 10.8982
Epoch 198/1000
0s - loss: 0.0091 - mse: 7.9031 - val_loss: 0.0124 - val_mse: 10.8401
Epoch 199/1000
0s - loss: 0.0090 - mse: 7.8579 - val_loss: 0.0124 - val_mse: 10.7943
Epoch 200/1000
0s - loss: 0.0090 - mse: 7.8056 - val_loss: 0.0124 - val_mse: 10.7999
Epoch 201/1000
0s - loss: 0.0089 - mse: 7.7603 - val_loss: 0.0124 - val_mse: 10.7704
Epoch 202/1000
0s - loss: 0.0089 - mse: 7.7114 - val_loss: 0.0123 - val_mse: 10.6755
Epoch 203/1000
0s - loss: 0.0088 - mse: 7.6648 - val_loss: 0.0122 - val_mse: 10.6074
Epoch 204/1000
0s - loss: 0.0087 - mse: 7.6190 - val_loss: 0.0122 - val_mse: 10.6003
Epoch 205/1000
0s - loss: 0.0087 - mse: 7.5714 - val_loss: 0.0122 - val_mse: 10.5863
Epoch 206/1000
0s - loss: 0.0086 - mse: 7.5277 - val_loss: 0.0121 - val_mse: 10.4960
Epoch 207/1000
0s - loss: 0.0086 - mse: 7.4798 - val_loss: 0.0120 - val_mse: 10.4139
Epoch 208/1000
0s - loss: 0.0085 - mse: 7.4368 - val_loss: 0.0119 - val_mse: 10.3898
Epoch 209/1000
0s - loss: 0.0085 - mse: 7.3904 - val_loss: 0.0119 - val_mse: 10.3699
Epoch 210/1000
0s - loss: 0.0084 - mse: 7.3472 - val_loss: 0.0119 - val_mse: 10.3212
Epoch 211/1000
0s - loss: 0.0084 - mse: 7.3023 - val_loss: 0.0118 - val_mse: 10.2708
Epoch 212/1000
0s - loss: 0.0083 - mse: 7.2582 - val_loss: 0.0118 - val_mse: 10.2365
Epoch 213/1000
0s - loss: 0.0083 - mse: 7.2151 - val_loss: 0.0117 - val_mse: 10.2249
Epoch 214/1000
0s - loss: 0.0082 - mse: 7.1710 - val_loss: 0.0117 - val_mse: 10.2061
Epoch 215/1000
0s - loss: 0.0082 - mse: 7.1290 - val_loss: 0.0117 - val_mse: 10.1537
Epoch 216/1000
0s - loss: 0.0081 - mse: 7.0857 - val_loss: 0.0116 - val_mse: 10.1136
Epoch 217/1000
0s - loss: 0.0081 - mse: 7.0446 - val_loss: 0.0116 - val_mse: 10.0846
Epoch 218/1000
0s - loss: 0.0080 - mse: 7.0022 - val_loss: 0.0116 - val_mse: 10.0776
Epoch 219/1000
0s - loss: 0.0080 - mse: 6.9615 - val_loss: 0.0116 - val_mse: 10.0598
Epoch 220/1000
0s - loss: 0.0079 - mse: 6.9201 - val_loss: 0.0115 - val_mse: 10.0221
Epoch 221/1000
0s - loss: 0.0079 - mse: 6.8797 - val_loss: 0.0115 - val_mse: 10.0117
Epoch 222/1000
0s - loss: 0.0079 - mse: 6.8385 - val_loss: 0.0115 - val_mse: 9.9940
Epoch 223/1000
0s - loss: 0.0078 - mse: 6.7985 - val_loss: 0.0115 - val_mse: 9.9778
Epoch 224/1000
0s - loss: 0.0078 - mse: 6.7582 - val_loss: 0.0114 - val_mse: 9.9565
Epoch 225/1000
0s - loss: 0.0077 - mse: 6.7187 - val_loss: 0.0114 - val_mse: 9.9565
Epoch 226/1000
0s - loss: 0.0077 - mse: 6.6790 - val_loss: 0.0114 - val_mse: 9.9602
Epoch 227/1000
0s - loss: 0.0076 - mse: 6.6403 - val_loss: 0.0114 - val_mse: 9.9255
Epoch 228/1000
0s - loss: 0.0076 - mse: 6.6012 - val_loss: 0.0114 - val_mse: 9.9260
Epoch 229/1000

Epoch 00228: reducing learning rate to 0.00489999982528.
0s - loss: 0.0075 - mse: 6.5627 - val_loss: 0.0114 - val_mse: 9.8951
Epoch 230/1000
0s - loss: 0.0075 - mse: 6.5236 - val_loss: 0.0114 - val_mse: 9.9062
Epoch 231/1000
0s - loss: 0.0075 - mse: 6.4964 - val_loss: 0.0114 - val_mse: 9.9112
Epoch 232/1000
0s - loss: 0.0074 - mse: 6.4696 - val_loss: 0.0113 - val_mse: 9.8786
Epoch 233/1000
0s - loss: 0.0074 - mse: 6.4426 - val_loss: 0.0113 - val_mse: 9.8636
Epoch 234/1000
0s - loss: 0.0074 - mse: 6.4159 - val_loss: 0.0113 - val_mse: 9.8778
Epoch 235/1000
0s - loss: 0.0073 - mse: 6.3891 - val_loss: 0.0113 - val_mse: 9.8645
Epoch 236/1000
0s - loss: 0.0073 - mse: 6.3621 - val_loss: 0.0113 - val_mse: 9.8459
Epoch 237/1000
0s - loss: 0.0073 - mse: 6.3351 - val_loss: 0.0113 - val_mse: 9.8412
Epoch 238/1000
0s - loss: 0.0072 - mse: 6.3082 - val_loss: 0.0113 - val_mse: 9.8111
Epoch 239/1000
0s - loss: 0.0072 - mse: 6.2811 - val_loss: 0.0113 - val_mse: 9.8002
Epoch 240/1000
0s - loss: 0.0072 - mse: 6.2543 - val_loss: 0.0113 - val_mse: 9.8075
Epoch 241/1000
0s - loss: 0.0072 - mse: 6.2274 - val_loss: 0.0112 - val_mse: 9.7862
Epoch 242/1000
0s - loss: 0.0071 - mse: 6.2003 - val_loss: 0.0112 - val_mse: 9.7754
Epoch 243/1000
0s - loss: 0.0071 - mse: 6.1737 - val_loss: 0.0112 - val_mse: 9.7748
Epoch 244/1000
0s - loss: 0.0071 - mse: 6.1474 - val_loss: 0.0112 - val_mse: 9.7489
Epoch 245/1000
0s - loss: 0.0070 - mse: 6.1207 - val_loss: 0.0112 - val_mse: 9.7458
Epoch 246/1000
0s - loss: 0.0070 - mse: 6.0941 - val_loss: 0.0112 - val_mse: 9.7241
Epoch 247/1000

Epoch 00246: reducing learning rate to 0.00343000004068.
0s - loss: 0.0070 - mse: 6.0674 - val_loss: 0.0112 - val_mse: 9.7131
Epoch 248/1000
0s - loss: 0.0069 - mse: 6.0408 - val_loss: 0.0112 - val_mse: 9.7137
Epoch 249/1000
0s - loss: 0.0069 - mse: 6.0221 - val_loss: 0.0111 - val_mse: 9.7091
Epoch 250/1000
0s - loss: 0.0069 - mse: 6.0034 - val_loss: 0.0111 - val_mse: 9.6983
Epoch 251/1000
0s - loss: 0.0069 - mse: 5.9847 - val_loss: 0.0111 - val_mse: 9.6890
Epoch 252/1000
0s - loss: 0.0069 - mse: 5.9660 - val_loss: 0.0111 - val_mse: 9.6763
Epoch 253/1000
0s - loss: 0.0068 - mse: 5.9473 - val_loss: 0.0111 - val_mse: 9.6730
Epoch 254/1000
0s - loss: 0.0068 - mse: 5.9284 - val_loss: 0.0111 - val_mse: 9.6640
Epoch 255/1000
0s - loss: 0.0068 - mse: 5.9094 - val_loss: 0.0111 - val_mse: 9.6549
Epoch 256/1000
0s - loss: 0.0068 - mse: 5.8906 - val_loss: 0.0111 - val_mse: 9.6422
Epoch 257/1000
0s - loss: 0.0067 - mse: 5.8717 - val_loss: 0.0111 - val_mse: 9.6314
Epoch 258/1000
0s - loss: 0.0067 - mse: 5.8528 - val_loss: 0.0110 - val_mse: 9.6128
Epoch 259/1000
0s - loss: 0.0067 - mse: 5.8339 - val_loss: 0.0110 - val_mse: 9.6055
Epoch 260/1000
0s - loss: 0.0067 - mse: 5.8149 - val_loss: 0.0110 - val_mse: 9.6044
Epoch 261/1000

Epoch 00260: reducing learning rate to 0.00240100002848.
0s - loss: 0.0067 - mse: 5.7960 - val_loss: 0.0110 - val_mse: 9.6004
Epoch 262/1000
0s - loss: 0.0066 - mse: 5.7771 - val_loss: 0.0110 - val_mse: 9.5843
Epoch 263/1000
0s - loss: 0.0066 - mse: 5.7637 - val_loss: 0.0110 - val_mse: 9.5684
Epoch 264/1000
0s - loss: 0.0066 - mse: 5.7504 - val_loss: 0.0110 - val_mse: 9.5600
Epoch 265/1000
0s - loss: 0.0066 - mse: 5.7370 - val_loss: 0.0110 - val_mse: 9.5505
Epoch 266/1000
0s - loss: 0.0066 - mse: 5.7235 - val_loss: 0.0110 - val_mse: 9.5360
Epoch 267/1000
0s - loss: 0.0066 - mse: 5.7099 - val_loss: 0.0109 - val_mse: 9.5266
Epoch 268/1000
0s - loss: 0.0065 - mse: 5.6963 - val_loss: 0.0109 - val_mse: 9.5222
Epoch 269/1000
0s - loss: 0.0065 - mse: 5.6827 - val_loss: 0.0109 - val_mse: 9.5160
Epoch 270/1000
0s - loss: 0.0065 - mse: 5.6690 - val_loss: 0.0109 - val_mse: 9.5035
Epoch 271/1000
0s - loss: 0.0065 - mse: 5.6553 - val_loss: 0.0109 - val_mse: 9.4903
Epoch 272/1000
0s - loss: 0.0065 - mse: 5.6416 - val_loss: 0.0109 - val_mse: 9.4797
Epoch 273/1000
0s - loss: 0.0065 - mse: 5.6278 - val_loss: 0.0109 - val_mse: 9.4763
Epoch 274/1000
0s - loss: 0.0064 - mse: 5.6141 - val_loss: 0.0109 - val_mse: 9.4696
Epoch 275/1000
0s - loss: 0.0064 - mse: 5.6003 - val_loss: 0.0109 - val_mse: 9.4567
Epoch 276/1000

Epoch 00275: reducing learning rate to 0.00168070008513.
0s - loss: 0.0064 - mse: 5.5866 - val_loss: 0.0108 - val_mse: 9.4481
Epoch 277/1000
0s - loss: 0.0064 - mse: 5.5730 - val_loss: 0.0108 - val_mse: 9.4437
Epoch 278/1000
0s - loss: 0.0064 - mse: 5.5634 - val_loss: 0.0108 - val_mse: 9.4357
Epoch 279/1000
0s - loss: 0.0064 - mse: 5.5538 - val_loss: 0.0108 - val_mse: 9.4262
Epoch 280/1000
0s - loss: 0.0064 - mse: 5.5443 - val_loss: 0.0108 - val_mse: 9.4198
Epoch 281/1000
0s - loss: 0.0064 - mse: 5.5348 - val_loss: 0.0108 - val_mse: 9.4137
Epoch 282/1000
0s - loss: 0.0063 - mse: 5.5254 - val_loss: 0.0108 - val_mse: 9.4072
Epoch 283/1000
0s - loss: 0.0063 - mse: 5.5160 - val_loss: 0.0108 - val_mse: 9.4016
Epoch 284/1000
0s - loss: 0.0063 - mse: 5.5067 - val_loss: 0.0108 - val_mse: 9.3926
Epoch 285/1000
0s - loss: 0.0063 - mse: 5.4974 - val_loss: 0.0108 - val_mse: 9.3831
Epoch 286/1000
0s - loss: 0.0063 - mse: 5.4881 - val_loss: 0.0108 - val_mse: 9.3720
Epoch 287/1000
0s - loss: 0.0063 - mse: 5.4788 - val_loss: 0.0108 - val_mse: 9.3676
Epoch 288/1000
0s - loss: 0.0063 - mse: 5.4695 - val_loss: 0.0108 - val_mse: 9.3631
Epoch 289/1000
0s - loss: 0.0063 - mse: 5.4601 - val_loss: 0.0107 - val_mse: 9.3542
Epoch 290/1000

Epoch 00289: reducing learning rate to 0.00117649007589.
0s - loss: 0.0063 - mse: 5.4508 - val_loss: 0.0107 - val_mse: 9.3433
Epoch 291/1000
0s - loss: 0.0062 - mse: 5.4415 - val_loss: 0.0107 - val_mse: 9.3366
Epoch 292/1000
0s - loss: 0.0062 - mse: 5.4349 - val_loss: 0.0107 - val_mse: 9.3315
Epoch 293/1000
0s - loss: 0.0062 - mse: 5.4284 - val_loss: 0.0107 - val_mse: 9.3277
Epoch 294/1000
0s - loss: 0.0062 - mse: 5.4218 - val_loss: 0.0107 - val_mse: 9.3239
Epoch 295/1000
0s - loss: 0.0062 - mse: 5.4152 - val_loss: 0.0107 - val_mse: 9.3162
Epoch 296/1000
0s - loss: 0.0062 - mse: 5.4087 - val_loss: 0.0107 - val_mse: 9.3077
Epoch 297/1000
0s - loss: 0.0062 - mse: 5.4021 - val_loss: 0.0107 - val_mse: 9.3019
Epoch 298/1000
0s - loss: 0.0062 - mse: 5.3956 - val_loss: 0.0107 - val_mse: 9.3009
Epoch 299/1000
0s - loss: 0.0062 - mse: 5.3889 - val_loss: 0.0107 - val_mse: 9.3002
Epoch 300/1000
0s - loss: 0.0062 - mse: 5.3824 - val_loss: 0.0107 - val_mse: 9.2951
Epoch 301/1000
0s - loss: 0.0062 - mse: 5.3758 - val_loss: 0.0107 - val_mse: 9.2878
Epoch 302/1000
0s - loss: 0.0062 - mse: 5.3692 - val_loss: 0.0107 - val_mse: 9.2832
Epoch 303/1000
0s - loss: 0.0062 - mse: 5.3626 - val_loss: 0.0107 - val_mse: 9.2780
Epoch 304/1000

Epoch 00303: reducing learning rate to 0.000823543069419.
0s - loss: 0.0062 - mse: 5.3560 - val_loss: 0.0106 - val_mse: 9.2727
Epoch 305/1000
0s - loss: 0.0061 - mse: 5.3495 - val_loss: 0.0106 - val_mse: 9.2685
Epoch 306/1000
0s - loss: 0.0061 - mse: 5.3448 - val_loss: 0.0106 - val_mse: 9.2640
Epoch 307/1000
0s - loss: 0.0061 - mse: 5.3402 - val_loss: 0.0106 - val_mse: 9.2597
Epoch 308/1000
0s - loss: 0.0061 - mse: 5.3355 - val_loss: 0.0106 - val_mse: 9.2564
Epoch 309/1000
0s - loss: 0.0061 - mse: 5.3309 - val_loss: 0.0106 - val_mse: 9.2545
Epoch 310/1000
0s - loss: 0.0061 - mse: 5.3262 - val_loss: 0.0106 - val_mse: 9.2523
Epoch 311/1000
0s - loss: 0.0061 - mse: 5.3216 - val_loss: 0.0106 - val_mse: 9.2474
Epoch 312/1000
0s - loss: 0.0061 - mse: 5.3169 - val_loss: 0.0106 - val_mse: 9.2419
Epoch 313/1000
0s - loss: 0.0061 - mse: 5.3123 - val_loss: 0.0106 - val_mse: 9.2382
Epoch 314/1000
0s - loss: 0.0061 - mse: 5.3076 - val_loss: 0.0106 - val_mse: 9.2350
Epoch 315/1000
0s - loss: 0.0061 - mse: 5.3030 - val_loss: 0.0106 - val_mse: 9.2313
Epoch 316/1000
0s - loss: 0.0061 - mse: 5.2983 - val_loss: 0.0106 - val_mse: 9.2282
Epoch 317/1000
0s - loss: 0.0061 - mse: 5.2937 - val_loss: 0.0106 - val_mse: 9.2261
Epoch 318/1000

Epoch 00317: reducing learning rate to 0.000576480140444.
0s - loss: 0.0061 - mse: 5.2890 - val_loss: 0.0106 - val_mse: 9.2221
Epoch 319/1000
0s - loss: 0.0061 - mse: 5.2844 - val_loss: 0.0106 - val_mse: 9.2189
Epoch 320/1000
0s - loss: 0.0061 - mse: 5.2811 - val_loss: 0.0106 - val_mse: 9.2160
Epoch 321/1000
0s - loss: 0.0061 - mse: 5.2779 - val_loss: 0.0106 - val_mse: 9.2135
Epoch 322/1000
0s - loss: 0.0061 - mse: 5.2746 - val_loss: 0.0106 - val_mse: 9.2117
Epoch 323/1000
0s - loss: 0.0061 - mse: 5.2714 - val_loss: 0.0106 - val_mse: 9.2095
Epoch 324/1000
0s - loss: 0.0060 - mse: 5.2681 - val_loss: 0.0106 - val_mse: 9.2065
Epoch 325/1000
0s - loss: 0.0060 - mse: 5.2649 - val_loss: 0.0106 - val_mse: 9.2034
Epoch 326/1000
0s - loss: 0.0060 - mse: 5.2616 - val_loss: 0.0106 - val_mse: 9.2003
Epoch 327/1000
0s - loss: 0.0060 - mse: 5.2584 - val_loss: 0.0106 - val_mse: 9.1973
Epoch 328/1000
0s - loss: 0.0060 - mse: 5.2552 - val_loss: 0.0106 - val_mse: 9.1944
Epoch 329/1000
0s - loss: 0.0060 - mse: 5.2519 - val_loss: 0.0106 - val_mse: 9.1914
Epoch 330/1000
0s - loss: 0.0060 - mse: 5.2487 - val_loss: 0.0106 - val_mse: 9.1875
Epoch 331/1000
0s - loss: 0.0060 - mse: 5.2455 - val_loss: 0.0105 - val_mse: 9.1847
Epoch 332/1000

Epoch 00331: reducing learning rate to 0.000403536082013.
0s - loss: 0.0060 - mse: 5.2422 - val_loss: 0.0105 - val_mse: 9.1832
Epoch 333/1000
0s - loss: 0.0060 - mse: 5.2390 - val_loss: 0.0105 - val_mse: 9.1817
Epoch 334/1000
0s - loss: 0.0060 - mse: 5.2367 - val_loss: 0.0105 - val_mse: 9.1794
Epoch 335/1000
0s - loss: 0.0060 - mse: 5.2345 - val_loss: 0.0105 - val_mse: 9.1775
Epoch 336/1000
0s - loss: 0.0060 - mse: 5.2322 - val_loss: 0.0105 - val_mse: 9.1760
Epoch 337/1000
0s - loss: 0.0060 - mse: 5.2299 - val_loss: 0.0105 - val_mse: 9.1742
Epoch 338/1000
0s - loss: 0.0060 - mse: 5.2277 - val_loss: 0.0105 - val_mse: 9.1732
Epoch 339/1000
0s - loss: 0.0060 - mse: 5.2254 - val_loss: 0.0105 - val_mse: 9.1724
Epoch 340/1000
0s - loss: 0.0060 - mse: 5.2232 - val_loss: 0.0105 - val_mse: 9.1715
Epoch 341/1000
0s - loss: 0.0060 - mse: 5.2210 - val_loss: 0.0105 - val_mse: 9.1699
Epoch 342/1000
0s - loss: 0.0060 - mse: 5.2187 - val_loss: 0.0105 - val_mse: 9.1678
Epoch 343/1000
0s - loss: 0.0060 - mse: 5.2165 - val_loss: 0.0105 - val_mse: 9.1656
Epoch 344/1000
0s - loss: 0.0060 - mse: 5.2142 - val_loss: 0.0105 - val_mse: 9.1635
Epoch 345/1000
0s - loss: 0.0060 - mse: 5.2120 - val_loss: 0.0105 - val_mse: 9.1619
Epoch 346/1000

Epoch 00345: reducing learning rate to 0.000282475253334.
0s - loss: 0.0060 - mse: 5.2098 - val_loss: 0.0105 - val_mse: 9.1602
Epoch 347/1000
0s - loss: 0.0060 - mse: 5.2075 - val_loss: 0.0105 - val_mse: 9.1589
Epoch 348/1000
0s - loss: 0.0060 - mse: 5.2060 - val_loss: 0.0105 - val_mse: 9.1576
Epoch 349/1000
0s - loss: 0.0060 - mse: 5.2044 - val_loss: 0.0105 - val_mse: 9.1560
Epoch 350/1000
0s - loss: 0.0060 - mse: 5.2028 - val_loss: 0.0105 - val_mse: 9.1544
[{'loss': 0.0077854436822235584, 'dropout': 0.0, 'val_mse': 10.15809154510498, 'width': 75, 'mse': 6.7798690795898438, 'val_loss': 0.011664718389511108}, {'loss': 0.0059745172038674355, 'dropout': 0.0, 'val_mse': 9.1544342041015625, 'width': 90, 'mse': 5.202843189239502, 'val_loss': 0.010512201115489006}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_72 (LSTM)               (None, None, 105)         45360     
_________________________________________________________________
time_distributed_69 (TimeDis (None, None, 1)           106       
=================================================================
Total params: 45,466
Trainable params: 45,466
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 1.0763 - mse: 937.2563 - val_loss: 0.5898 - val_mse: 513.5988
Epoch 2/1000
0s - loss: 0.5400 - mse: 470.2236 - val_loss: 0.3584 - val_mse: 312.1037
Epoch 3/1000
0s - loss: 0.3322 - mse: 289.3189 - val_loss: 0.2848 - val_mse: 247.9979
Epoch 4/1000
0s - loss: 0.2847 - mse: 247.9124 - val_loss: 0.2599 - val_mse: 226.3305
Epoch 5/1000
0s - loss: 0.2603 - mse: 226.6826 - val_loss: 0.2129 - val_mse: 185.4069
Epoch 6/1000
0s - loss: 0.2115 - mse: 184.1610 - val_loss: 0.1784 - val_mse: 155.3302
Epoch 7/1000
0s - loss: 0.1682 - mse: 146.4456 - val_loss: 0.1748 - val_mse: 152.1924
Epoch 8/1000
0s - loss: 0.1618 - mse: 140.9052 - val_loss: 0.1450 - val_mse: 126.3113
Epoch 9/1000
0s - loss: 0.1317 - mse: 114.7063 - val_loss: 0.1286 - val_mse: 111.9825
Epoch 10/1000
0s - loss: 0.1121 - mse: 97.6401 - val_loss: 0.1370 - val_mse: 119.3045
Epoch 11/1000
0s - loss: 0.1104 - mse: 96.1683 - val_loss: 0.1550 - val_mse: 134.9478
Epoch 12/1000
0s - loss: 0.1196 - mse: 104.1645 - val_loss: 0.1426 - val_mse: 124.1861
Epoch 13/1000
0s - loss: 0.1176 - mse: 102.4357 - val_loss: 0.1257 - val_mse: 109.4810
Epoch 14/1000
0s - loss: 0.1089 - mse: 94.8532 - val_loss: 0.1120 - val_mse: 97.5453
Epoch 15/1000
0s - loss: 0.0978 - mse: 85.1422 - val_loss: 0.1063 - val_mse: 92.6003
Epoch 16/1000
0s - loss: 0.0919 - mse: 80.0491 - val_loss: 0.1060 - val_mse: 92.2937
Epoch 17/1000
0s - loss: 0.0917 - mse: 79.8525 - val_loss: 0.0951 - val_mse: 82.7953
Epoch 18/1000
0s - loss: 0.0840 - mse: 73.1102 - val_loss: 0.0849 - val_mse: 73.9232
Epoch 19/1000
0s - loss: 0.0771 - mse: 67.1116 - val_loss: 0.0823 - val_mse: 71.6716
Epoch 20/1000
0s - loss: 0.0759 - mse: 66.1300 - val_loss: 0.0822 - val_mse: 71.5477
Epoch 21/1000
0s - loss: 0.0762 - mse: 66.3255 - val_loss: 0.0813 - val_mse: 70.8379
Epoch 22/1000
0s - loss: 0.0754 - mse: 65.6764 - val_loss: 0.0818 - val_mse: 71.2199
Epoch 23/1000
0s - loss: 0.0764 - mse: 66.5196 - val_loss: 0.0768 - val_mse: 66.9095
Epoch 24/1000
0s - loss: 0.0715 - mse: 62.2512 - val_loss: 0.0728 - val_mse: 63.4352
Epoch 25/1000
0s - loss: 0.0681 - mse: 59.3152 - val_loss: 0.0715 - val_mse: 62.3017
Epoch 26/1000
0s - loss: 0.0673 - mse: 58.5811 - val_loss: 0.0691 - val_mse: 60.2175
Epoch 27/1000
0s - loss: 0.0648 - mse: 56.4153 - val_loss: 0.0670 - val_mse: 58.3789
Epoch 28/1000
0s - loss: 0.0621 - mse: 54.0858 - val_loss: 0.0662 - val_mse: 57.6420
Epoch 29/1000
0s - loss: 0.0604 - mse: 52.6062 - val_loss: 0.0651 - val_mse: 56.6581
Epoch 30/1000
0s - loss: 0.0589 - mse: 51.3090 - val_loss: 0.0627 - val_mse: 54.6044
Epoch 31/1000
0s - loss: 0.0570 - mse: 49.6528 - val_loss: 0.0601 - val_mse: 52.3342
Epoch 32/1000
0s - loss: 0.0551 - mse: 47.9526 - val_loss: 0.0585 - val_mse: 50.9789
Epoch 33/1000
0s - loss: 0.0537 - mse: 46.7855 - val_loss: 0.0568 - val_mse: 49.4922
Epoch 34/1000
0s - loss: 0.0517 - mse: 45.0005 - val_loss: 0.0556 - val_mse: 48.3957
Epoch 35/1000
0s - loss: 0.0499 - mse: 43.4128 - val_loss: 0.0546 - val_mse: 47.5865
Epoch 36/1000
0s - loss: 0.0485 - mse: 42.2197 - val_loss: 0.0535 - val_mse: 46.6179
Epoch 37/1000
0s - loss: 0.0476 - mse: 41.4858 - val_loss: 0.0523 - val_mse: 45.5029
Epoch 38/1000
0s - loss: 0.0469 - mse: 40.8847 - val_loss: 0.0508 - val_mse: 44.2178
Epoch 39/1000
0s - loss: 0.0456 - mse: 39.6736 - val_loss: 0.0498 - val_mse: 43.3851
Epoch 40/1000
0s - loss: 0.0445 - mse: 38.7834 - val_loss: 0.0484 - val_mse: 42.1155
Epoch 41/1000
0s - loss: 0.0429 - mse: 37.3867 - val_loss: 0.0482 - val_mse: 41.9982
Epoch 42/1000
0s - loss: 0.0423 - mse: 36.8720 - val_loss: 0.0478 - val_mse: 41.6489
Epoch 43/1000
0s - loss: 0.0413 - mse: 35.9760 - val_loss: 0.0466 - val_mse: 40.5889
Epoch 44/1000
0s - loss: 0.0404 - mse: 35.1687 - val_loss: 0.0446 - val_mse: 38.8282
Epoch 45/1000
0s - loss: 0.0395 - mse: 34.4169 - val_loss: 0.0432 - val_mse: 37.5980
Epoch 46/1000
0s - loss: 0.0388 - mse: 33.7774 - val_loss: 0.0424 - val_mse: 36.8952
Epoch 47/1000
0s - loss: 0.0380 - mse: 33.1273 - val_loss: 0.0413 - val_mse: 35.9241
Epoch 48/1000
0s - loss: 0.0369 - mse: 32.1682 - val_loss: 0.0405 - val_mse: 35.3064
Epoch 49/1000
0s - loss: 0.0363 - mse: 31.6195 - val_loss: 0.0397 - val_mse: 34.5941
Epoch 50/1000
0s - loss: 0.0354 - mse: 30.8538 - val_loss: 0.0387 - val_mse: 33.7209
Epoch 51/1000
0s - loss: 0.0348 - mse: 30.2708 - val_loss: 0.0373 - val_mse: 32.5077
Epoch 52/1000
0s - loss: 0.0340 - mse: 29.6463 - val_loss: 0.0366 - val_mse: 31.8619
Epoch 53/1000
0s - loss: 0.0335 - mse: 29.1937 - val_loss: 0.0363 - val_mse: 31.6086
Epoch 54/1000
0s - loss: 0.0328 - mse: 28.5991 - val_loss: 0.0362 - val_mse: 31.5230
Epoch 55/1000
0s - loss: 0.0325 - mse: 28.3048 - val_loss: 0.0355 - val_mse: 30.9443
Epoch 56/1000
0s - loss: 0.0321 - mse: 27.9474 - val_loss: 0.0346 - val_mse: 30.1594
Epoch 57/1000
0s - loss: 0.0315 - mse: 27.4434 - val_loss: 0.0340 - val_mse: 29.6033
Epoch 58/1000
0s - loss: 0.0311 - mse: 27.0832 - val_loss: 0.0332 - val_mse: 28.9120
Epoch 59/1000
0s - loss: 0.0306 - mse: 26.6372 - val_loss: 0.0326 - val_mse: 28.3908
Epoch 60/1000
0s - loss: 0.0301 - mse: 26.2305 - val_loss: 0.0323 - val_mse: 28.0933
Epoch 61/1000
0s - loss: 0.0297 - mse: 25.8243 - val_loss: 0.0318 - val_mse: 27.6685
Epoch 62/1000
0s - loss: 0.0292 - mse: 25.4583 - val_loss: 0.0310 - val_mse: 27.0092
Epoch 63/1000
0s - loss: 0.0288 - mse: 25.0786 - val_loss: 0.0305 - val_mse: 26.5519
Epoch 64/1000
0s - loss: 0.0284 - mse: 24.7372 - val_loss: 0.0301 - val_mse: 26.2336
Epoch 65/1000
0s - loss: 0.0280 - mse: 24.4111 - val_loss: 0.0297 - val_mse: 25.8375
Epoch 66/1000
0s - loss: 0.0277 - mse: 24.0841 - val_loss: 0.0293 - val_mse: 25.5361
Epoch 67/1000
0s - loss: 0.0274 - mse: 23.8220 - val_loss: 0.0290 - val_mse: 25.2754
Epoch 68/1000
0s - loss: 0.0270 - mse: 23.5250 - val_loss: 0.0286 - val_mse: 24.8910
Epoch 69/1000
0s - loss: 0.0267 - mse: 23.2199 - val_loss: 0.0282 - val_mse: 24.5539
Epoch 70/1000
0s - loss: 0.0263 - mse: 22.9352 - val_loss: 0.0280 - val_mse: 24.3765
Epoch 71/1000
0s - loss: 0.0260 - mse: 22.6623 - val_loss: 0.0277 - val_mse: 24.1165
Epoch 72/1000
0s - loss: 0.0257 - mse: 22.3925 - val_loss: 0.0273 - val_mse: 23.8128
Epoch 73/1000
0s - loss: 0.0254 - mse: 22.1505 - val_loss: 0.0271 - val_mse: 23.6069
Epoch 74/1000
0s - loss: 0.0251 - mse: 21.8980 - val_loss: 0.0268 - val_mse: 23.2994
Epoch 75/1000
0s - loss: 0.0248 - mse: 21.6165 - val_loss: 0.0264 - val_mse: 23.0203
Epoch 76/1000
0s - loss: 0.0245 - mse: 21.3790 - val_loss: 0.0262 - val_mse: 22.8269
Epoch 77/1000
0s - loss: 0.0243 - mse: 21.1181 - val_loss: 0.0259 - val_mse: 22.5211
Epoch 78/1000
0s - loss: 0.0240 - mse: 20.8665 - val_loss: 0.0255 - val_mse: 22.2399
Epoch 79/1000
0s - loss: 0.0237 - mse: 20.6298 - val_loss: 0.0253 - val_mse: 22.0091
Epoch 80/1000
0s - loss: 0.0234 - mse: 20.3832 - val_loss: 0.0249 - val_mse: 21.6929
Epoch 81/1000
0s - loss: 0.0231 - mse: 20.1471 - val_loss: 0.0247 - val_mse: 21.4839
Epoch 82/1000
0s - loss: 0.0228 - mse: 19.8893 - val_loss: 0.0244 - val_mse: 21.2792
Epoch 83/1000
0s - loss: 0.0226 - mse: 19.6629 - val_loss: 0.0242 - val_mse: 21.0527
Epoch 84/1000
0s - loss: 0.0223 - mse: 19.4328 - val_loss: 0.0240 - val_mse: 20.9017
Epoch 85/1000
0s - loss: 0.0221 - mse: 19.2144 - val_loss: 0.0237 - val_mse: 20.6390
Epoch 86/1000
0s - loss: 0.0218 - mse: 18.9975 - val_loss: 0.0236 - val_mse: 20.5628
Epoch 87/1000
0s - loss: 0.0216 - mse: 18.7930 - val_loss: 0.0233 - val_mse: 20.2727
Epoch 88/1000
0s - loss: 0.0214 - mse: 18.6247 - val_loss: 0.0234 - val_mse: 20.3811
Epoch 89/1000
0s - loss: 0.0213 - mse: 18.5528 - val_loss: 0.0231 - val_mse: 20.1458
Epoch 90/1000
0s - loss: 0.0215 - mse: 18.7201 - val_loss: 0.0248 - val_mse: 21.5679
Epoch 91/1000
0s - loss: 0.0226 - mse: 19.6772 - val_loss: 0.0243 - val_mse: 21.1486
Epoch 92/1000
0s - loss: 0.0232 - mse: 20.1657 - val_loss: 0.0254 - val_mse: 22.0826
Epoch 93/1000
0s - loss: 0.0233 - mse: 20.2894 - val_loss: 0.0218 - val_mse: 18.9566
Epoch 94/1000
0s - loss: 0.0202 - mse: 17.6036 - val_loss: 0.0224 - val_mse: 19.5275
Epoch 95/1000
0s - loss: 0.0211 - mse: 18.4127 - val_loss: 0.0243 - val_mse: 21.1924
Epoch 96/1000
0s - loss: 0.0222 - mse: 19.3432 - val_loss: 0.0212 - val_mse: 18.4853
Epoch 97/1000
0s - loss: 0.0195 - mse: 16.9398 - val_loss: 0.0225 - val_mse: 19.6222
Epoch 98/1000
0s - loss: 0.0213 - mse: 18.5440 - val_loss: 0.0232 - val_mse: 20.1914
Epoch 99/1000
0s - loss: 0.0209 - mse: 18.1798 - val_loss: 0.0213 - val_mse: 18.5801
Epoch 100/1000
0s - loss: 0.0192 - mse: 16.7017 - val_loss: 0.0224 - val_mse: 19.4827
Epoch 101/1000
0s - loss: 0.0211 - mse: 18.4087 - val_loss: 0.0210 - val_mse: 18.2697
Epoch 102/1000
0s - loss: 0.0189 - mse: 16.4234 - val_loss: 0.0217 - val_mse: 18.9198
Epoch 103/1000
0s - loss: 0.0195 - mse: 16.9922 - val_loss: 0.0205 - val_mse: 17.8174
Epoch 104/1000
0s - loss: 0.0189 - mse: 16.4656 - val_loss: 0.0200 - val_mse: 17.4000
Epoch 105/1000
0s - loss: 0.0183 - mse: 15.9623 - val_loss: 0.0209 - val_mse: 18.2262
Epoch 106/1000
0s - loss: 0.0188 - mse: 16.3496 - val_loss: 0.0197 - val_mse: 17.1867
Epoch 107/1000
0s - loss: 0.0177 - mse: 15.4152 - val_loss: 0.0201 - val_mse: 17.4677
Epoch 108/1000
0s - loss: 0.0185 - mse: 16.1068 - val_loss: 0.0194 - val_mse: 16.8565
Epoch 109/1000
0s - loss: 0.0173 - mse: 15.0913 - val_loss: 0.0200 - val_mse: 17.4198
Epoch 110/1000
0s - loss: 0.0178 - mse: 15.4802 - val_loss: 0.0190 - val_mse: 16.5518
Epoch 111/1000
0s - loss: 0.0171 - mse: 14.9185 - val_loss: 0.0188 - val_mse: 16.4131
Epoch 112/1000
0s - loss: 0.0171 - mse: 14.8723 - val_loss: 0.0191 - val_mse: 16.6761
Epoch 113/1000
0s - loss: 0.0170 - mse: 14.8321 - val_loss: 0.0186 - val_mse: 16.1902
Epoch 114/1000
0s - loss: 0.0165 - mse: 14.3712 - val_loss: 0.0186 - val_mse: 16.1550
Epoch 115/1000
0s - loss: 0.0168 - mse: 14.6270 - val_loss: 0.0181 - val_mse: 15.7674
Epoch 116/1000
0s - loss: 0.0161 - mse: 14.0436 - val_loss: 0.0184 - val_mse: 16.0460
Epoch 117/1000
0s - loss: 0.0163 - mse: 14.1516 - val_loss: 0.0180 - val_mse: 15.6482
Epoch 118/1000
0s - loss: 0.0159 - mse: 13.8741 - val_loss: 0.0177 - val_mse: 15.3817
Epoch 119/1000
0s - loss: 0.0157 - mse: 13.6378 - val_loss: 0.0179 - val_mse: 15.6069
Epoch 120/1000
0s - loss: 0.0157 - mse: 13.6859 - val_loss: 0.0175 - val_mse: 15.2581
Epoch 121/1000
0s - loss: 0.0153 - mse: 13.2965 - val_loss: 0.0174 - val_mse: 15.1226
Epoch 122/1000
0s - loss: 0.0153 - mse: 13.3006 - val_loss: 0.0173 - val_mse: 15.1015
Epoch 123/1000
0s - loss: 0.0151 - mse: 13.1849 - val_loss: 0.0170 - val_mse: 14.8365
Epoch 124/1000
0s - loss: 0.0148 - mse: 12.8462 - val_loss: 0.0170 - val_mse: 14.7635
Epoch 125/1000
0s - loss: 0.0148 - mse: 12.8749 - val_loss: 0.0168 - val_mse: 14.6717
Epoch 126/1000
0s - loss: 0.0146 - mse: 12.7539 - val_loss: 0.0165 - val_mse: 14.4063
Epoch 127/1000
0s - loss: 0.0142 - mse: 12.4028 - val_loss: 0.0165 - val_mse: 14.3800
Epoch 128/1000
0s - loss: 0.0142 - mse: 12.3674 - val_loss: 0.0165 - val_mse: 14.4076
Epoch 129/1000
0s - loss: 0.0142 - mse: 12.3867 - val_loss: 0.0162 - val_mse: 14.1284
Epoch 130/1000
0s - loss: 0.0139 - mse: 12.1019 - val_loss: 0.0161 - val_mse: 13.9967
Epoch 131/1000
0s - loss: 0.0136 - mse: 11.8295 - val_loss: 0.0158 - val_mse: 13.7775
Epoch 132/1000
0s - loss: 0.0134 - mse: 11.6744 - val_loss: 0.0158 - val_mse: 13.7160
Epoch 133/1000
0s - loss: 0.0134 - mse: 11.6479 - val_loss: 0.0161 - val_mse: 14.0037
Epoch 134/1000
0s - loss: 0.0135 - mse: 11.7899 - val_loss: 0.0162 - val_mse: 14.0787
Epoch 135/1000
0s - loss: 0.0139 - mse: 12.0983 - val_loss: 0.0178 - val_mse: 15.5261
Epoch 136/1000

Epoch 00135: reducing learning rate to 0.00699999984354.
5s - loss: 0.0155 - mse: 13.4768 - val_loss: 0.0179 - val_mse: 15.5935
Epoch 137/1000
0s - loss: 0.0159 - mse: 13.8824 - val_loss: 0.0158 - val_mse: 13.7995
Epoch 138/1000
0s - loss: 0.0134 - mse: 11.6614 - val_loss: 0.0164 - val_mse: 14.2919
Epoch 139/1000
0s - loss: 0.0141 - mse: 12.2646 - val_loss: 0.0155 - val_mse: 13.4937
Epoch 140/1000
0s - loss: 0.0134 - mse: 11.6930 - val_loss: 0.0152 - val_mse: 13.2411
Epoch 141/1000
0s - loss: 0.0130 - mse: 11.2781 - val_loss: 0.0160 - val_mse: 13.9207
Epoch 142/1000
0s - loss: 0.0134 - mse: 11.6905 - val_loss: 0.0151 - val_mse: 13.1277
Epoch 143/1000
0s - loss: 0.0125 - mse: 10.9174 - val_loss: 0.0154 - val_mse: 13.4209
Epoch 144/1000
0s - loss: 0.0132 - mse: 11.4908 - val_loss: 0.0146 - val_mse: 12.7234
Epoch 145/1000
0s - loss: 0.0121 - mse: 10.5132 - val_loss: 0.0155 - val_mse: 13.4850
Epoch 146/1000
0s - loss: 0.0128 - mse: 11.1528 - val_loss: 0.0144 - val_mse: 12.5628
Epoch 147/1000
0s - loss: 0.0119 - mse: 10.3460 - val_loss: 0.0148 - val_mse: 12.8680
Epoch 148/1000
0s - loss: 0.0125 - mse: 10.9022 - val_loss: 0.0142 - val_mse: 12.3300
Epoch 149/1000
0s - loss: 0.0117 - mse: 10.1465 - val_loss: 0.0147 - val_mse: 12.8411
Epoch 150/1000
0s - loss: 0.0122 - mse: 10.5849 - val_loss: 0.0140 - val_mse: 12.1988
Epoch 151/1000
0s - loss: 0.0115 - mse: 9.9968 - val_loss: 0.0143 - val_mse: 12.4390
Epoch 152/1000
0s - loss: 0.0119 - mse: 10.3536 - val_loss: 0.0139 - val_mse: 12.1370
Epoch 153/1000
0s - loss: 0.0113 - mse: 9.8655 - val_loss: 0.0142 - val_mse: 12.3403
Epoch 154/1000
0s - loss: 0.0115 - mse: 10.0534 - val_loss: 0.0137 - val_mse: 11.9273
Epoch 155/1000
0s - loss: 0.0112 - mse: 9.7474 - val_loss: 0.0137 - val_mse: 11.9370
Epoch 156/1000
0s - loss: 0.0112 - mse: 9.7792 - val_loss: 0.0137 - val_mse: 11.9514
Epoch 157/1000
0s - loss: 0.0111 - mse: 9.6574 - val_loss: 0.0135 - val_mse: 11.7225
Epoch 158/1000
0s - loss: 0.0109 - mse: 9.4968 - val_loss: 0.0134 - val_mse: 11.6432
Epoch 159/1000
0s - loss: 0.0110 - mse: 9.5514 - val_loss: 0.0132 - val_mse: 11.4731
Epoch 160/1000
0s - loss: 0.0106 - mse: 9.2638 - val_loss: 0.0133 - val_mse: 11.6179
Epoch 161/1000
0s - loss: 0.0108 - mse: 9.3721 - val_loss: 0.0129 - val_mse: 11.2618
Epoch 162/1000
0s - loss: 0.0105 - mse: 9.1384 - val_loss: 0.0129 - val_mse: 11.2524
Epoch 163/1000
0s - loss: 0.0105 - mse: 9.1073 - val_loss: 0.0131 - val_mse: 11.3800
Epoch 164/1000
0s - loss: 0.0104 - mse: 9.0848 - val_loss: 0.0127 - val_mse: 11.0729
Epoch 165/1000
0s - loss: 0.0102 - mse: 8.8606 - val_loss: 0.0127 - val_mse: 11.0453
Epoch 166/1000
0s - loss: 0.0103 - mse: 8.9311 - val_loss: 0.0127 - val_mse: 11.0692
Epoch 167/1000
0s - loss: 0.0101 - mse: 8.8017 - val_loss: 0.0125 - val_mse: 10.8932
Epoch 168/1000
0s - loss: 0.0099 - mse: 8.6431 - val_loss: 0.0124 - val_mse: 10.8350
Epoch 169/1000
0s - loss: 0.0100 - mse: 8.6858 - val_loss: 0.0125 - val_mse: 10.8557
Epoch 170/1000
0s - loss: 0.0099 - mse: 8.5962 - val_loss: 0.0122 - val_mse: 10.6528
Epoch 171/1000
0s - loss: 0.0097 - mse: 8.4217 - val_loss: 0.0122 - val_mse: 10.5855
Epoch 172/1000
0s - loss: 0.0096 - mse: 8.4016 - val_loss: 0.0122 - val_mse: 10.6607
Epoch 173/1000
0s - loss: 0.0097 - mse: 8.4131 - val_loss: 0.0120 - val_mse: 10.4313
Epoch 174/1000
0s - loss: 0.0095 - mse: 8.2791 - val_loss: 0.0119 - val_mse: 10.3640
Epoch 175/1000
0s - loss: 0.0093 - mse: 8.1347 - val_loss: 0.0118 - val_mse: 10.2890
Epoch 176/1000
0s - loss: 0.0093 - mse: 8.0690 - val_loss: 0.0117 - val_mse: 10.2031
Epoch 177/1000
0s - loss: 0.0093 - mse: 8.0628 - val_loss: 0.0118 - val_mse: 10.2976
Epoch 178/1000
0s - loss: 0.0093 - mse: 8.0583 - val_loss: 0.0117 - val_mse: 10.1758
Epoch 179/1000
0s - loss: 0.0092 - mse: 8.0133 - val_loss: 0.0117 - val_mse: 10.2001
Epoch 180/1000
0s - loss: 0.0091 - mse: 7.9555 - val_loss: 0.0115 - val_mse: 10.0176
Epoch 181/1000
0s - loss: 0.0091 - mse: 7.8901 - val_loss: 0.0116 - val_mse: 10.1199
Epoch 182/1000
0s - loss: 0.0090 - mse: 7.8792 - val_loss: 0.0115 - val_mse: 10.0081
Epoch 183/1000
0s - loss: 0.0091 - mse: 7.8928 - val_loss: 0.0118 - val_mse: 10.2419
Epoch 184/1000
0s - loss: 0.0092 - mse: 8.0485 - val_loss: 0.0118 - val_mse: 10.2813
Epoch 185/1000

Epoch 00184: reducing learning rate to 0.00489999982528.
0s - loss: 0.0095 - mse: 8.2599 - val_loss: 0.0126 - val_mse: 10.9321
Epoch 186/1000
0s - loss: 0.0101 - mse: 8.7741 - val_loss: 0.0111 - val_mse: 9.6627
Epoch 187/1000
0s - loss: 0.0087 - mse: 7.5368 - val_loss: 0.0115 - val_mse: 9.9849
Epoch 188/1000
0s - loss: 0.0092 - mse: 7.9837 - val_loss: 0.0117 - val_mse: 10.2176
Epoch 189/1000
0s - loss: 0.0093 - mse: 8.0880 - val_loss: 0.0109 - val_mse: 9.5115
Epoch 190/1000
0s - loss: 0.0084 - mse: 7.3398 - val_loss: 0.0116 - val_mse: 10.1250
Epoch 191/1000
0s - loss: 0.0094 - mse: 8.1531 - val_loss: 0.0108 - val_mse: 9.4145
Epoch 192/1000
0s - loss: 0.0083 - mse: 7.2584 - val_loss: 0.0113 - val_mse: 9.8138
Epoch 193/1000
0s - loss: 0.0088 - mse: 7.6770 - val_loss: 0.0108 - val_mse: 9.4438
Epoch 194/1000
0s - loss: 0.0085 - mse: 7.3651 - val_loss: 0.0108 - val_mse: 9.3668
Epoch 195/1000
0s - loss: 0.0083 - mse: 7.2625 - val_loss: 0.0110 - val_mse: 9.6026
Epoch 196/1000
0s - loss: 0.0085 - mse: 7.4384 - val_loss: 0.0105 - val_mse: 9.1782
Epoch 197/1000
0s - loss: 0.0081 - mse: 7.0276 - val_loss: 0.0108 - val_mse: 9.4225
Epoch 198/1000
0s - loss: 0.0085 - mse: 7.3899 - val_loss: 0.0104 - val_mse: 9.0783
Epoch 199/1000
0s - loss: 0.0080 - mse: 6.9355 - val_loss: 0.0107 - val_mse: 9.3313
Epoch 200/1000
0s - loss: 0.0082 - mse: 7.1662 - val_loss: 0.0104 - val_mse: 9.0756
Epoch 201/1000
0s - loss: 0.0080 - mse: 6.9409 - val_loss: 0.0104 - val_mse: 9.0470
Epoch 202/1000
0s - loss: 0.0080 - mse: 6.9265 - val_loss: 0.0105 - val_mse: 9.1227
Epoch 203/1000
0s - loss: 0.0080 - mse: 6.9636 - val_loss: 0.0102 - val_mse: 8.9232
Epoch 204/1000
0s - loss: 0.0078 - mse: 6.7491 - val_loss: 0.0104 - val_mse: 9.0368
Epoch 205/1000
0s - loss: 0.0079 - mse: 6.9108 - val_loss: 0.0102 - val_mse: 8.8558
Epoch 206/1000
0s - loss: 0.0077 - mse: 6.6733 - val_loss: 0.0102 - val_mse: 8.9224
Epoch 207/1000
0s - loss: 0.0077 - mse: 6.7450 - val_loss: 0.0101 - val_mse: 8.8222
Epoch 208/1000
0s - loss: 0.0077 - mse: 6.6728 - val_loss: 0.0100 - val_mse: 8.7499
Epoch 209/1000
0s - loss: 0.0075 - mse: 6.5716 - val_loss: 0.0101 - val_mse: 8.8364
Epoch 210/1000
0s - loss: 0.0076 - mse: 6.6391 - val_loss: 0.0100 - val_mse: 8.6693
Epoch 211/1000
0s - loss: 0.0074 - mse: 6.4859 - val_loss: 0.0100 - val_mse: 8.6879
Epoch 212/1000
0s - loss: 0.0075 - mse: 6.5235 - val_loss: 0.0100 - val_mse: 8.6937
Epoch 213/1000
0s - loss: 0.0074 - mse: 6.4833 - val_loss: 0.0099 - val_mse: 8.6029
Epoch 214/1000
0s - loss: 0.0073 - mse: 6.3833 - val_loss: 0.0099 - val_mse: 8.6152
Epoch 215/1000
0s - loss: 0.0074 - mse: 6.4326 - val_loss: 0.0098 - val_mse: 8.5556
Epoch 216/1000
0s - loss: 0.0073 - mse: 6.3427 - val_loss: 0.0098 - val_mse: 8.5183
Epoch 217/1000
0s - loss: 0.0072 - mse: 6.2916 - val_loss: 0.0098 - val_mse: 8.5203
Epoch 218/1000
0s - loss: 0.0072 - mse: 6.3134 - val_loss: 0.0097 - val_mse: 8.4568
Epoch 219/1000
0s - loss: 0.0071 - mse: 6.2245 - val_loss: 0.0097 - val_mse: 8.4304
Epoch 220/1000
0s - loss: 0.0071 - mse: 6.1889 - val_loss: 0.0097 - val_mse: 8.4252
Epoch 221/1000
0s - loss: 0.0071 - mse: 6.1955 - val_loss: 0.0096 - val_mse: 8.3694
Epoch 222/1000
0s - loss: 0.0070 - mse: 6.1199 - val_loss: 0.0096 - val_mse: 8.3293
Epoch 223/1000
0s - loss: 0.0070 - mse: 6.0786 - val_loss: 0.0096 - val_mse: 8.3173
Epoch 224/1000
0s - loss: 0.0070 - mse: 6.0803 - val_loss: 0.0095 - val_mse: 8.2739
Epoch 225/1000
0s - loss: 0.0069 - mse: 6.0232 - val_loss: 0.0094 - val_mse: 8.2273
Epoch 226/1000
0s - loss: 0.0069 - mse: 5.9683 - val_loss: 0.0094 - val_mse: 8.2061
Epoch 227/1000
0s - loss: 0.0068 - mse: 5.9630 - val_loss: 0.0094 - val_mse: 8.1743
Epoch 228/1000
0s - loss: 0.0068 - mse: 5.9324 - val_loss: 0.0093 - val_mse: 8.1149
Epoch 229/1000
0s - loss: 0.0067 - mse: 5.8693 - val_loss: 0.0093 - val_mse: 8.0884
Epoch 230/1000
0s - loss: 0.0067 - mse: 5.8394 - val_loss: 0.0093 - val_mse: 8.0700
Epoch 231/1000
0s - loss: 0.0067 - mse: 5.8262 - val_loss: 0.0092 - val_mse: 8.0127
Epoch 232/1000
0s - loss: 0.0066 - mse: 5.7820 - val_loss: 0.0091 - val_mse: 7.9627
Epoch 233/1000
0s - loss: 0.0066 - mse: 5.7308 - val_loss: 0.0091 - val_mse: 7.9413
Epoch 234/1000
0s - loss: 0.0065 - mse: 5.7020 - val_loss: 0.0091 - val_mse: 7.9159
Epoch 235/1000
0s - loss: 0.0065 - mse: 5.6790 - val_loss: 0.0090 - val_mse: 7.8799
Epoch 236/1000
0s - loss: 0.0065 - mse: 5.6430 - val_loss: 0.0090 - val_mse: 7.8398
Epoch 237/1000
0s - loss: 0.0064 - mse: 5.5967 - val_loss: 0.0090 - val_mse: 7.8111
Epoch 238/1000
0s - loss: 0.0064 - mse: 5.5591 - val_loss: 0.0089 - val_mse: 7.7847
Epoch 239/1000
0s - loss: 0.0064 - mse: 5.5324 - val_loss: 0.0089 - val_mse: 7.7599
Epoch 240/1000
0s - loss: 0.0063 - mse: 5.5059 - val_loss: 0.0089 - val_mse: 7.7377
Epoch 241/1000
0s - loss: 0.0063 - mse: 5.4725 - val_loss: 0.0088 - val_mse: 7.7039
Epoch 242/1000
0s - loss: 0.0062 - mse: 5.4318 - val_loss: 0.0088 - val_mse: 7.6675
Epoch 243/1000
0s - loss: 0.0062 - mse: 5.3914 - val_loss: 0.0088 - val_mse: 7.6421
Epoch 244/1000
0s - loss: 0.0061 - mse: 5.3540 - val_loss: 0.0087 - val_mse: 7.6131
Epoch 245/1000
0s - loss: 0.0061 - mse: 5.3203 - val_loss: 0.0087 - val_mse: 7.5871
Epoch 246/1000
0s - loss: 0.0061 - mse: 5.2893 - val_loss: 0.0087 - val_mse: 7.5749
Epoch 247/1000
0s - loss: 0.0060 - mse: 5.2608 - val_loss: 0.0087 - val_mse: 7.5605
Epoch 248/1000

Epoch 00247: reducing learning rate to 0.00343000004068.
0s - loss: 0.0060 - mse: 5.2378 - val_loss: 0.0087 - val_mse: 7.5582
Epoch 249/1000
0s - loss: 0.0060 - mse: 5.2218 - val_loss: 0.0086 - val_mse: 7.5051
Epoch 250/1000
0s - loss: 0.0059 - mse: 5.1792 - val_loss: 0.0086 - val_mse: 7.4814
Epoch 251/1000
0s - loss: 0.0059 - mse: 5.1414 - val_loss: 0.0086 - val_mse: 7.5005
Epoch 252/1000
0s - loss: 0.0059 - mse: 5.1429 - val_loss: 0.0086 - val_mse: 7.4581
Epoch 253/1000
0s - loss: 0.0059 - mse: 5.1039 - val_loss: 0.0085 - val_mse: 7.4317
Epoch 254/1000
0s - loss: 0.0058 - mse: 5.0716 - val_loss: 0.0085 - val_mse: 7.4350
Epoch 255/1000
0s - loss: 0.0058 - mse: 5.0678 - val_loss: 0.0085 - val_mse: 7.3986
Epoch 256/1000
0s - loss: 0.0058 - mse: 5.0327 - val_loss: 0.0085 - val_mse: 7.3844
Epoch 257/1000
0s - loss: 0.0057 - mse: 5.0016 - val_loss: 0.0085 - val_mse: 7.3847
Epoch 258/1000
0s - loss: 0.0057 - mse: 4.9934 - val_loss: 0.0084 - val_mse: 7.3468
Epoch 259/1000
0s - loss: 0.0057 - mse: 4.9655 - val_loss: 0.0084 - val_mse: 7.3275
Epoch 260/1000
0s - loss: 0.0057 - mse: 4.9324 - val_loss: 0.0084 - val_mse: 7.3311
Epoch 261/1000
0s - loss: 0.0057 - mse: 4.9203 - val_loss: 0.0084 - val_mse: 7.3074
Epoch 262/1000
0s - loss: 0.0056 - mse: 4.9000 - val_loss: 0.0084 - val_mse: 7.2865
Epoch 263/1000
0s - loss: 0.0056 - mse: 4.8666 - val_loss: 0.0084 - val_mse: 7.2759
Epoch 264/1000
0s - loss: 0.0056 - mse: 4.8476 - val_loss: 0.0083 - val_mse: 7.2590
Epoch 265/1000
0s - loss: 0.0055 - mse: 4.8324 - val_loss: 0.0083 - val_mse: 7.2471
Epoch 266/1000

Epoch 00265: reducing learning rate to 0.00240100002848.
0s - loss: 0.0055 - mse: 4.8031 - val_loss: 0.0083 - val_mse: 7.2266
Epoch 267/1000
0s - loss: 0.0055 - mse: 4.7771 - val_loss: 0.0083 - val_mse: 7.2173
Epoch 268/1000
0s - loss: 0.0055 - mse: 4.7640 - val_loss: 0.0083 - val_mse: 7.2093
Epoch 269/1000
0s - loss: 0.0054 - mse: 4.7459 - val_loss: 0.0083 - val_mse: 7.2050
Epoch 270/1000
0s - loss: 0.0054 - mse: 4.7326 - val_loss: 0.0083 - val_mse: 7.1911
Epoch 271/1000
0s - loss: 0.0054 - mse: 4.7154 - val_loss: 0.0083 - val_mse: 7.1845
Epoch 272/1000
0s - loss: 0.0054 - mse: 4.7012 - val_loss: 0.0082 - val_mse: 7.1800
Epoch 273/1000
0s - loss: 0.0054 - mse: 4.6852 - val_loss: 0.0082 - val_mse: 7.1691
Epoch 274/1000
0s - loss: 0.0054 - mse: 4.6697 - val_loss: 0.0082 - val_mse: 7.1596
Epoch 275/1000
0s - loss: 0.0053 - mse: 4.6553 - val_loss: 0.0082 - val_mse: 7.1550
Epoch 276/1000
0s - loss: 0.0053 - mse: 4.6389 - val_loss: 0.0082 - val_mse: 7.1516
Epoch 277/1000
0s - loss: 0.0053 - mse: 4.6248 - val_loss: 0.0082 - val_mse: 7.1386
Epoch 278/1000
0s - loss: 0.0053 - mse: 4.6086 - val_loss: 0.0082 - val_mse: 7.1294
Epoch 279/1000
0s - loss: 0.0053 - mse: 4.5936 - val_loss: 0.0082 - val_mse: 7.1240
Epoch 280/1000
0s - loss: 0.0053 - mse: 4.5788 - val_loss: 0.0082 - val_mse: 7.1134
Epoch 281/1000
0s - loss: 0.0052 - mse: 4.5628 - val_loss: 0.0082 - val_mse: 7.1006
Epoch 282/1000
0s - loss: 0.0052 - mse: 4.5482 - val_loss: 0.0081 - val_mse: 7.0916
Epoch 283/1000

Epoch 00282: reducing learning rate to 0.00168070008513.
0s - loss: 0.0052 - mse: 4.5328 - val_loss: 0.0081 - val_mse: 7.0815
Epoch 284/1000
0s - loss: 0.0052 - mse: 4.5176 - val_loss: 0.0081 - val_mse: 7.0694
Epoch 285/1000
0s - loss: 0.0052 - mse: 4.5071 - val_loss: 0.0081 - val_mse: 7.0585
Epoch 286/1000
0s - loss: 0.0052 - mse: 4.4965 - val_loss: 0.0081 - val_mse: 7.0531
Epoch 287/1000
0s - loss: 0.0052 - mse: 4.4860 - val_loss: 0.0081 - val_mse: 7.0494
Epoch 288/1000
0s - loss: 0.0051 - mse: 4.4755 - val_loss: 0.0081 - val_mse: 7.0438
Epoch 289/1000
0s - loss: 0.0051 - mse: 4.4650 - val_loss: 0.0081 - val_mse: 7.0351
Epoch 290/1000
0s - loss: 0.0051 - mse: 4.4545 - val_loss: 0.0081 - val_mse: 7.0248
Epoch 291/1000
0s - loss: 0.0051 - mse: 4.4442 - val_loss: 0.0081 - val_mse: 7.0188
Epoch 292/1000
0s - loss: 0.0051 - mse: 4.4337 - val_loss: 0.0081 - val_mse: 7.0142
Epoch 293/1000
0s - loss: 0.0051 - mse: 4.4234 - val_loss: 0.0080 - val_mse: 7.0065
Epoch 294/1000
0s - loss: 0.0051 - mse: 4.4129 - val_loss: 0.0080 - val_mse: 6.9961
Epoch 295/1000
0s - loss: 0.0051 - mse: 4.4026 - val_loss: 0.0080 - val_mse: 6.9888
Epoch 296/1000
0s - loss: 0.0050 - mse: 4.3923 - val_loss: 0.0080 - val_mse: 6.9820
Epoch 297/1000

Epoch 00296: reducing learning rate to 0.00117649007589.
0s - loss: 0.0050 - mse: 4.3818 - val_loss: 0.0080 - val_mse: 6.9744
Epoch 298/1000
0s - loss: 0.0050 - mse: 4.3715 - val_loss: 0.0080 - val_mse: 6.9686
Epoch 299/1000
0s - loss: 0.0050 - mse: 4.3641 - val_loss: 0.0080 - val_mse: 6.9627
Epoch 300/1000
0s - loss: 0.0050 - mse: 4.3569 - val_loss: 0.0080 - val_mse: 6.9573
Epoch 301/1000
0s - loss: 0.0050 - mse: 4.3497 - val_loss: 0.0080 - val_mse: 6.9533
Epoch 302/1000
0s - loss: 0.0050 - mse: 4.3424 - val_loss: 0.0080 - val_mse: 6.9496
Epoch 303/1000
0s - loss: 0.0050 - mse: 4.3352 - val_loss: 0.0080 - val_mse: 6.9463
Epoch 304/1000
0s - loss: 0.0050 - mse: 4.3280 - val_loss: 0.0080 - val_mse: 6.9395
Epoch 305/1000
0s - loss: 0.0050 - mse: 4.3208 - val_loss: 0.0080 - val_mse: 6.9321
Epoch 306/1000
0s - loss: 0.0050 - mse: 4.3136 - val_loss: 0.0080 - val_mse: 6.9271
Epoch 307/1000
0s - loss: 0.0049 - mse: 4.3064 - val_loss: 0.0080 - val_mse: 6.9249
Epoch 308/1000
0s - loss: 0.0049 - mse: 4.2992 - val_loss: 0.0079 - val_mse: 6.9204
Epoch 309/1000
0s - loss: 0.0049 - mse: 4.2921 - val_loss: 0.0079 - val_mse: 6.9137
Epoch 310/1000
0s - loss: 0.0049 - mse: 4.2848 - val_loss: 0.0079 - val_mse: 6.9076
Epoch 311/1000

Epoch 00310: reducing learning rate to 0.000823543069419.
0s - loss: 0.0049 - mse: 4.2778 - val_loss: 0.0079 - val_mse: 6.9038
Epoch 312/1000
0s - loss: 0.0049 - mse: 4.2706 - val_loss: 0.0079 - val_mse: 6.9018
Epoch 313/1000
0s - loss: 0.0049 - mse: 4.2657 - val_loss: 0.0079 - val_mse: 6.8976
Epoch 314/1000
0s - loss: 0.0049 - mse: 4.2607 - val_loss: 0.0079 - val_mse: 6.8928
Epoch 315/1000
0s - loss: 0.0049 - mse: 4.2557 - val_loss: 0.0079 - val_mse: 6.8894
Epoch 316/1000
0s - loss: 0.0049 - mse: 4.2507 - val_loss: 0.0079 - val_mse: 6.8868
Epoch 317/1000
0s - loss: 0.0049 - mse: 4.2457 - val_loss: 0.0079 - val_mse: 6.8839
Epoch 318/1000
0s - loss: 0.0049 - mse: 4.2407 - val_loss: 0.0079 - val_mse: 6.8811
Epoch 319/1000
0s - loss: 0.0049 - mse: 4.2357 - val_loss: 0.0079 - val_mse: 6.8778
Epoch 320/1000
0s - loss: 0.0049 - mse: 4.2307 - val_loss: 0.0079 - val_mse: 6.8733
Epoch 321/1000
0s - loss: 0.0049 - mse: 4.2258 - val_loss: 0.0079 - val_mse: 6.8685
Epoch 322/1000
0s - loss: 0.0048 - mse: 4.2208 - val_loss: 0.0079 - val_mse: 6.8645
Epoch 323/1000
0s - loss: 0.0048 - mse: 4.2158 - val_loss: 0.0079 - val_mse: 6.8609
Epoch 324/1000
0s - loss: 0.0048 - mse: 4.2109 - val_loss: 0.0079 - val_mse: 6.8585
Epoch 325/1000
0s - loss: 0.0048 - mse: 4.2059 - val_loss: 0.0079 - val_mse: 6.8546
Epoch 326/1000
0s - loss: 0.0048 - mse: 4.2009 - val_loss: 0.0079 - val_mse: 6.8491
Epoch 327/1000
0s - loss: 0.0048 - mse: 4.1960 - val_loss: 0.0079 - val_mse: 6.8453
Epoch 328/1000
0s - loss: 0.0048 - mse: 4.1910 - val_loss: 0.0079 - val_mse: 6.8433
Epoch 329/1000

Epoch 00328: reducing learning rate to 0.000576480140444.
0s - loss: 0.0048 - mse: 4.1860 - val_loss: 0.0079 - val_mse: 6.8410
Epoch 330/1000
0s - loss: 0.0048 - mse: 4.1811 - val_loss: 0.0079 - val_mse: 6.8381
Epoch 331/1000
0s - loss: 0.0048 - mse: 4.1776 - val_loss: 0.0078 - val_mse: 6.8352
Epoch 332/1000
0s - loss: 0.0048 - mse: 4.1741 - val_loss: 0.0078 - val_mse: 6.8327
Epoch 333/1000
0s - loss: 0.0048 - mse: 4.1706 - val_loss: 0.0078 - val_mse: 6.8306
Epoch 334/1000
0s - loss: 0.0048 - mse: 4.1671 - val_loss: 0.0078 - val_mse: 6.8288
Epoch 335/1000
0s - loss: 0.0048 - mse: 4.1636 - val_loss: 0.0078 - val_mse: 6.8266
Epoch 336/1000
0s - loss: 0.0048 - mse: 4.1601 - val_loss: 0.0078 - val_mse: 6.8243
Epoch 337/1000
0s - loss: 0.0048 - mse: 4.1566 - val_loss: 0.0078 - val_mse: 6.8219
Epoch 338/1000
0s - loss: 0.0048 - mse: 4.1532 - val_loss: 0.0078 - val_mse: 6.8194
Epoch 339/1000
0s - loss: 0.0048 - mse: 4.1497 - val_loss: 0.0078 - val_mse: 6.8174
Epoch 340/1000
0s - loss: 0.0048 - mse: 4.1462 - val_loss: 0.0078 - val_mse: 6.8156
Epoch 341/1000
0s - loss: 0.0048 - mse: 4.1427 - val_loss: 0.0078 - val_mse: 6.8138
Epoch 342/1000
0s - loss: 0.0048 - mse: 4.1393 - val_loss: 0.0078 - val_mse: 6.8119
Epoch 343/1000

Epoch 00342: reducing learning rate to 0.000403536082013.
0s - loss: 0.0047 - mse: 4.1358 - val_loss: 0.0078 - val_mse: 6.8093
Epoch 344/1000
0s - loss: 0.0047 - mse: 4.1324 - val_loss: 0.0078 - val_mse: 6.8076
Epoch 345/1000
0s - loss: 0.0047 - mse: 4.1299 - val_loss: 0.0078 - val_mse: 6.8062
Epoch 346/1000
0s - loss: 0.0047 - mse: 4.1275 - val_loss: 0.0078 - val_mse: 6.8052
Epoch 347/1000
0s - loss: 0.0047 - mse: 4.1252 - val_loss: 0.0078 - val_mse: 6.8036
Epoch 348/1000
0s - loss: 0.0047 - mse: 4.1228 - val_loss: 0.0078 - val_mse: 6.8016
Epoch 349/1000
0s - loss: 0.0047 - mse: 4.1204 - val_loss: 0.0078 - val_mse: 6.7999
Epoch 350/1000
0s - loss: 0.0047 - mse: 4.1180 - val_loss: 0.0078 - val_mse: 6.7986
Epoch 351/1000
0s - loss: 0.0047 - mse: 4.1156 - val_loss: 0.0078 - val_mse: 6.7970
Epoch 352/1000
0s - loss: 0.0047 - mse: 4.1132 - val_loss: 0.0078 - val_mse: 6.7950
Epoch 353/1000
0s - loss: 0.0047 - mse: 4.1108 - val_loss: 0.0078 - val_mse: 6.7930
Epoch 354/1000
0s - loss: 0.0047 - mse: 4.1084 - val_loss: 0.0078 - val_mse: 6.7912
Epoch 355/1000
0s - loss: 0.0047 - mse: 4.1060 - val_loss: 0.0078 - val_mse: 6.7899
[{'loss': 0.0077854436822235584, 'dropout': 0.0, 'val_mse': 10.15809154510498, 'width': 75, 'mse': 6.7798690795898438, 'val_loss': 0.011664718389511108}, {'loss': 0.0059745172038674355, 'dropout': 0.0, 'val_mse': 9.1544342041015625, 'width': 90, 'mse': 5.202843189239502, 'val_loss': 0.010512201115489006}, {'loss': 0.0047149923630058765, 'dropout': 0.0, 'val_mse': 6.7898726463317871, 'width': 105, 'mse': 4.1059994697570801, 'val_loss': 0.007796931080520153}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_73 (LSTM)               (None, None, 120)         59040     
_________________________________________________________________
time_distributed_70 (TimeDis (None, None, 1)           121       
=================================================================
Total params: 59,161
Trainable params: 59,161
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
3s - loss: 0.9153 - mse: 797.1002 - val_loss: 0.5424 - val_mse: 472.3399
Epoch 2/1000
0s - loss: 0.5018 - mse: 437.0032 - val_loss: 0.3442 - val_mse: 299.7430
Epoch 3/1000
0s - loss: 0.3253 - mse: 283.3073 - val_loss: 0.3390 - val_mse: 295.2536
Epoch 4/1000
0s - loss: 0.3308 - mse: 288.0421 - val_loss: 0.2448 - val_mse: 213.1783
Epoch 5/1000
0s - loss: 0.2357 - mse: 205.2550 - val_loss: 0.1996 - val_mse: 173.7909
Epoch 6/1000
0s - loss: 0.1943 - mse: 169.1762 - val_loss: 0.1759 - val_mse: 153.2011
Epoch 7/1000
0s - loss: 0.1656 - mse: 144.2273 - val_loss: 0.1571 - val_mse: 136.8190
Epoch 8/1000
0s - loss: 0.1462 - mse: 127.3288 - val_loss: 0.1425 - val_mse: 124.0591
Epoch 9/1000
0s - loss: 0.1305 - mse: 113.6425 - val_loss: 0.1331 - val_mse: 115.9275
Epoch 10/1000
0s - loss: 0.1209 - mse: 105.2690 - val_loss: 0.1287 - val_mse: 112.1158
Epoch 11/1000
0s - loss: 0.1160 - mse: 101.0044 - val_loss: 0.1338 - val_mse: 116.4957
Epoch 12/1000
0s - loss: 0.1165 - mse: 101.4763 - val_loss: 0.1447 - val_mse: 125.9952
Epoch 13/1000
0s - loss: 0.1199 - mse: 104.4538 - val_loss: 0.1378 - val_mse: 120.0196
Epoch 14/1000
0s - loss: 0.1127 - mse: 98.1599 - val_loss: 0.1162 - val_mse: 101.1519
Epoch 15/1000
0s - loss: 0.0971 - mse: 84.5386 - val_loss: 0.1015 - val_mse: 88.3906
Epoch 16/1000
0s - loss: 0.0880 - mse: 76.6626 - val_loss: 0.0953 - val_mse: 83.0279
Epoch 17/1000
0s - loss: 0.0852 - mse: 74.2283 - val_loss: 0.0921 - val_mse: 80.1904
Epoch 18/1000
0s - loss: 0.0838 - mse: 73.0128 - val_loss: 0.0885 - val_mse: 77.0815
Epoch 19/1000
0s - loss: 0.0814 - mse: 70.9101 - val_loss: 0.0844 - val_mse: 73.4703
Epoch 20/1000
0s - loss: 0.0781 - mse: 68.0204 - val_loss: 0.0809 - val_mse: 70.4101
Epoch 21/1000
0s - loss: 0.0752 - mse: 65.5047 - val_loss: 0.0785 - val_mse: 68.3490
Epoch 22/1000
0s - loss: 0.0734 - mse: 63.9154 - val_loss: 0.0764 - val_mse: 66.5645
Epoch 23/1000
0s - loss: 0.0719 - mse: 62.6370 - val_loss: 0.0742 - val_mse: 64.5868
Epoch 24/1000
0s - loss: 0.0703 - mse: 61.1780 - val_loss: 0.0710 - val_mse: 61.8598
Epoch 25/1000
0s - loss: 0.0675 - mse: 58.7843 - val_loss: 0.0672 - val_mse: 58.5463
Epoch 26/1000
0s - loss: 0.0638 - mse: 55.5910 - val_loss: 0.0644 - val_mse: 56.0722
Epoch 27/1000
0s - loss: 0.0609 - mse: 53.0220 - val_loss: 0.0630 - val_mse: 54.8982
Epoch 28/1000
0s - loss: 0.0593 - mse: 51.6151 - val_loss: 0.0617 - val_mse: 53.7060
Epoch 29/1000
0s - loss: 0.0578 - mse: 50.3616 - val_loss: 0.0589 - val_mse: 51.3136
Epoch 30/1000
0s - loss: 0.0553 - mse: 48.1777 - val_loss: 0.0567 - val_mse: 49.4054
Epoch 31/1000
0s - loss: 0.0534 - mse: 46.4748 - val_loss: 0.0560 - val_mse: 48.7828
Epoch 32/1000
0s - loss: 0.0526 - mse: 45.8354 - val_loss: 0.0554 - val_mse: 48.2418
Epoch 33/1000
0s - loss: 0.0518 - mse: 45.0764 - val_loss: 0.0541 - val_mse: 47.1051
Epoch 34/1000
0s - loss: 0.0500 - mse: 43.5663 - val_loss: 0.0528 - val_mse: 45.9880
Epoch 35/1000
0s - loss: 0.0481 - mse: 41.9101 - val_loss: 0.0520 - val_mse: 45.3115
Epoch 36/1000
0s - loss: 0.0467 - mse: 40.6449 - val_loss: 0.0512 - val_mse: 44.6012
Epoch 37/1000
0s - loss: 0.0454 - mse: 39.5370 - val_loss: 0.0500 - val_mse: 43.5797
Epoch 38/1000
0s - loss: 0.0441 - mse: 38.4125 - val_loss: 0.0486 - val_mse: 42.3056
Epoch 39/1000
0s - loss: 0.0428 - mse: 37.2716 - val_loss: 0.0469 - val_mse: 40.8549
Epoch 40/1000
0s - loss: 0.0414 - mse: 36.0767 - val_loss: 0.0455 - val_mse: 39.6478
Epoch 41/1000
0s - loss: 0.0404 - mse: 35.1432 - val_loss: 0.0446 - val_mse: 38.8346
Epoch 42/1000
0s - loss: 0.0397 - mse: 34.5759 - val_loss: 0.0435 - val_mse: 37.8889
Epoch 43/1000
0s - loss: 0.0389 - mse: 33.8537 - val_loss: 0.0421 - val_mse: 36.6223
Epoch 44/1000
0s - loss: 0.0377 - mse: 32.8234 - val_loss: 0.0408 - val_mse: 35.5520
Epoch 45/1000
0s - loss: 0.0368 - mse: 32.0141 - val_loss: 0.0400 - val_mse: 34.7955
Epoch 46/1000
0s - loss: 0.0362 - mse: 31.5144 - val_loss: 0.0390 - val_mse: 33.9712
Epoch 47/1000
0s - loss: 0.0355 - mse: 30.9140 - val_loss: 0.0379 - val_mse: 33.0141
Epoch 48/1000
0s - loss: 0.0346 - mse: 30.1350 - val_loss: 0.0369 - val_mse: 32.1473
Epoch 49/1000
0s - loss: 0.0338 - mse: 29.3966 - val_loss: 0.0361 - val_mse: 31.4097
Epoch 50/1000
0s - loss: 0.0330 - mse: 28.7407 - val_loss: 0.0353 - val_mse: 30.7572
Epoch 51/1000
0s - loss: 0.0323 - mse: 28.1033 - val_loss: 0.0347 - val_mse: 30.2066
Epoch 52/1000
0s - loss: 0.0316 - mse: 27.4830 - val_loss: 0.0341 - val_mse: 29.7183
Epoch 53/1000
0s - loss: 0.0309 - mse: 26.8667 - val_loss: 0.0337 - val_mse: 29.3451
Epoch 54/1000
0s - loss: 0.0303 - mse: 26.3463 - val_loss: 0.0333 - val_mse: 29.0392
Epoch 55/1000
0s - loss: 0.0298 - mse: 25.9316 - val_loss: 0.0328 - val_mse: 28.5595
Epoch 56/1000
0s - loss: 0.0292 - mse: 25.4390 - val_loss: 0.0320 - val_mse: 27.8804
Epoch 57/1000
0s - loss: 0.0285 - mse: 24.8333 - val_loss: 0.0312 - val_mse: 27.2008
Epoch 58/1000
0s - loss: 0.0279 - mse: 24.2869 - val_loss: 0.0305 - val_mse: 26.5571
Epoch 59/1000
0s - loss: 0.0274 - mse: 23.8194 - val_loss: 0.0297 - val_mse: 25.8915
Epoch 60/1000
0s - loss: 0.0268 - mse: 23.3195 - val_loss: 0.0291 - val_mse: 25.3781
Epoch 61/1000
0s - loss: 0.0263 - mse: 22.8822 - val_loss: 0.0287 - val_mse: 25.0077
Epoch 62/1000
0s - loss: 0.0259 - mse: 22.5199 - val_loss: 0.0282 - val_mse: 24.5895
Epoch 63/1000
0s - loss: 0.0254 - mse: 22.1273 - val_loss: 0.0278 - val_mse: 24.1881
Epoch 64/1000
0s - loss: 0.0249 - mse: 21.7272 - val_loss: 0.0274 - val_mse: 23.8491
Epoch 65/1000
0s - loss: 0.0245 - mse: 21.2931 - val_loss: 0.0271 - val_mse: 23.6096
Epoch 66/1000
0s - loss: 0.0240 - mse: 20.8996 - val_loss: 0.0268 - val_mse: 23.3641
Epoch 67/1000
0s - loss: 0.0236 - mse: 20.5354 - val_loss: 0.0266 - val_mse: 23.1289
Epoch 68/1000
0s - loss: 0.0232 - mse: 20.1753 - val_loss: 0.0264 - val_mse: 22.9770
Epoch 69/1000
0s - loss: 0.0228 - mse: 19.8680 - val_loss: 0.0261 - val_mse: 22.7103
Epoch 70/1000
0s - loss: 0.0224 - mse: 19.5367 - val_loss: 0.0257 - val_mse: 22.3388
Epoch 71/1000
0s - loss: 0.0220 - mse: 19.1989 - val_loss: 0.0253 - val_mse: 21.9907
Epoch 72/1000
0s - loss: 0.0217 - mse: 18.9045 - val_loss: 0.0249 - val_mse: 21.6448
Epoch 73/1000
0s - loss: 0.0214 - mse: 18.6316 - val_loss: 0.0245 - val_mse: 21.3622
Epoch 74/1000
0s - loss: 0.0211 - mse: 18.3581 - val_loss: 0.0242 - val_mse: 21.1042
Epoch 75/1000
0s - loss: 0.0208 - mse: 18.0811 - val_loss: 0.0239 - val_mse: 20.7726
Epoch 76/1000
0s - loss: 0.0204 - mse: 17.7844 - val_loss: 0.0236 - val_mse: 20.5311
Epoch 77/1000
0s - loss: 0.0201 - mse: 17.5185 - val_loss: 0.0233 - val_mse: 20.2756
Epoch 78/1000
0s - loss: 0.0198 - mse: 17.2826 - val_loss: 0.0233 - val_mse: 20.3024
Epoch 79/1000
0s - loss: 0.0196 - mse: 17.1101 - val_loss: 0.0233 - val_mse: 20.2559
Epoch 80/1000
0s - loss: 0.0199 - mse: 17.2918 - val_loss: 0.0252 - val_mse: 21.9217
Epoch 81/1000
0s - loss: 0.0214 - mse: 18.6101 - val_loss: 0.0253 - val_mse: 21.9982
Epoch 82/1000

Epoch 00081: reducing learning rate to 0.00699999984354.
5s - loss: 0.0226 - mse: 19.6808 - val_loss: 0.0235 - val_mse: 20.4353
Epoch 83/1000
0s - loss: 0.0201 - mse: 17.5303 - val_loss: 0.0226 - val_mse: 19.6766
Epoch 84/1000
0s - loss: 0.0193 - mse: 16.8184 - val_loss: 0.0220 - val_mse: 19.1826
Epoch 85/1000
0s - loss: 0.0193 - mse: 16.7829 - val_loss: 0.0218 - val_mse: 18.9832
Epoch 86/1000
0s - loss: 0.0189 - mse: 16.4804 - val_loss: 0.0220 - val_mse: 19.1447
Epoch 87/1000
0s - loss: 0.0184 - mse: 16.0037 - val_loss: 0.0226 - val_mse: 19.6834
Epoch 88/1000
0s - loss: 0.0187 - mse: 16.2766 - val_loss: 0.0214 - val_mse: 18.6096
Epoch 89/1000
0s - loss: 0.0177 - mse: 15.4499 - val_loss: 0.0218 - val_mse: 18.9969
Epoch 90/1000
0s - loss: 0.0184 - mse: 16.0268 - val_loss: 0.0211 - val_mse: 18.3707
Epoch 91/1000
0s - loss: 0.0173 - mse: 15.0615 - val_loss: 0.0217 - val_mse: 18.9099
Epoch 92/1000
0s - loss: 0.0179 - mse: 15.5554 - val_loss: 0.0204 - val_mse: 17.7698
Epoch 93/1000
0s - loss: 0.0169 - mse: 14.7601 - val_loss: 0.0205 - val_mse: 17.8408
Epoch 94/1000
0s - loss: 0.0174 - mse: 15.1428 - val_loss: 0.0200 - val_mse: 17.4308
Epoch 95/1000
0s - loss: 0.0168 - mse: 14.5922 - val_loss: 0.0204 - val_mse: 17.7925
Epoch 96/1000
0s - loss: 0.0169 - mse: 14.6910 - val_loss: 0.0201 - val_mse: 17.5438
Epoch 97/1000
0s - loss: 0.0166 - mse: 14.4223 - val_loss: 0.0198 - val_mse: 17.2277
Epoch 98/1000
0s - loss: 0.0164 - mse: 14.2435 - val_loss: 0.0198 - val_mse: 17.2512
Epoch 99/1000
0s - loss: 0.0163 - mse: 14.2094 - val_loss: 0.0198 - val_mse: 17.2600
Epoch 100/1000
0s - loss: 0.0160 - mse: 13.9240 - val_loss: 0.0200 - val_mse: 17.3769
Epoch 101/1000
0s - loss: 0.0160 - mse: 13.9584 - val_loss: 0.0193 - val_mse: 16.8199
Epoch 102/1000
0s - loss: 0.0156 - mse: 13.6202 - val_loss: 0.0192 - val_mse: 16.6950
Epoch 103/1000
0s - loss: 0.0157 - mse: 13.6748 - val_loss: 0.0189 - val_mse: 16.4487
Epoch 104/1000
0s - loss: 0.0153 - mse: 13.3394 - val_loss: 0.0190 - val_mse: 16.5223
Epoch 105/1000
0s - loss: 0.0154 - mse: 13.3854 - val_loss: 0.0184 - val_mse: 16.0527
Epoch 106/1000
0s - loss: 0.0150 - mse: 13.0905 - val_loss: 0.0183 - val_mse: 15.9179
Epoch 107/1000
0s - loss: 0.0150 - mse: 13.1044 - val_loss: 0.0181 - val_mse: 15.7835
Epoch 108/1000
0s - loss: 0.0147 - mse: 12.8396 - val_loss: 0.0183 - val_mse: 15.9316
Epoch 109/1000
0s - loss: 0.0147 - mse: 12.8268 - val_loss: 0.0179 - val_mse: 15.6049
Epoch 110/1000
0s - loss: 0.0145 - mse: 12.5874 - val_loss: 0.0177 - val_mse: 15.4084
Epoch 111/1000
0s - loss: 0.0144 - mse: 12.5560 - val_loss: 0.0175 - val_mse: 15.2590
Epoch 112/1000
0s - loss: 0.0142 - mse: 12.3326 - val_loss: 0.0176 - val_mse: 15.3230
Epoch 113/1000
0s - loss: 0.0141 - mse: 12.2939 - val_loss: 0.0172 - val_mse: 14.9614
Epoch 114/1000
0s - loss: 0.0139 - mse: 12.0757 - val_loss: 0.0169 - val_mse: 14.7487
Epoch 115/1000
0s - loss: 0.0138 - mse: 12.0289 - val_loss: 0.0168 - val_mse: 14.6238
Epoch 116/1000
0s - loss: 0.0136 - mse: 11.8285 - val_loss: 0.0168 - val_mse: 14.6303
Epoch 117/1000
0s - loss: 0.0135 - mse: 11.7658 - val_loss: 0.0165 - val_mse: 14.3578
Epoch 118/1000
0s - loss: 0.0133 - mse: 11.5946 - val_loss: 0.0163 - val_mse: 14.2284
Epoch 119/1000
0s - loss: 0.0132 - mse: 11.4968 - val_loss: 0.0163 - val_mse: 14.2054
Epoch 120/1000
0s - loss: 0.0130 - mse: 11.3614 - val_loss: 0.0161 - val_mse: 14.0555
Epoch 121/1000
0s - loss: 0.0129 - mse: 11.2255 - val_loss: 0.0159 - val_mse: 13.8554
Epoch 122/1000
0s - loss: 0.0128 - mse: 11.1314 - val_loss: 0.0158 - val_mse: 13.7409
Epoch 123/1000
0s - loss: 0.0126 - mse: 10.9747 - val_loss: 0.0157 - val_mse: 13.6551
Epoch 124/1000
0s - loss: 0.0125 - mse: 10.8765 - val_loss: 0.0154 - val_mse: 13.4135
Epoch 125/1000
0s - loss: 0.0123 - mse: 10.7459 - val_loss: 0.0153 - val_mse: 13.2853
Epoch 126/1000
0s - loss: 0.0122 - mse: 10.6099 - val_loss: 0.0152 - val_mse: 13.2485
Epoch 127/1000
0s - loss: 0.0121 - mse: 10.5147 - val_loss: 0.0150 - val_mse: 13.0381
Epoch 128/1000
0s - loss: 0.0119 - mse: 10.3670 - val_loss: 0.0148 - val_mse: 12.9181
Epoch 129/1000
0s - loss: 0.0118 - mse: 10.2476 - val_loss: 0.0148 - val_mse: 12.8793
Epoch 130/1000
0s - loss: 0.0116 - mse: 10.1378 - val_loss: 0.0146 - val_mse: 12.7075
Epoch 131/1000
0s - loss: 0.0115 - mse: 9.9961 - val_loss: 0.0145 - val_mse: 12.5951
Epoch 132/1000
0s - loss: 0.0113 - mse: 9.8756 - val_loss: 0.0144 - val_mse: 12.5210
Epoch 133/1000
0s - loss: 0.0112 - mse: 9.7593 - val_loss: 0.0142 - val_mse: 12.3311
Epoch 134/1000
0s - loss: 0.0111 - mse: 9.6315 - val_loss: 0.0140 - val_mse: 12.2267
Epoch 135/1000
0s - loss: 0.0109 - mse: 9.5012 - val_loss: 0.0139 - val_mse: 12.1274
Epoch 136/1000
0s - loss: 0.0108 - mse: 9.3842 - val_loss: 0.0137 - val_mse: 11.9705
Epoch 137/1000
0s - loss: 0.0106 - mse: 9.2701 - val_loss: 0.0137 - val_mse: 11.9112
Epoch 138/1000
0s - loss: 0.0105 - mse: 9.1440 - val_loss: 0.0135 - val_mse: 11.7597
Epoch 139/1000
0s - loss: 0.0103 - mse: 9.0131 - val_loss: 0.0134 - val_mse: 11.6916
Epoch 140/1000
0s - loss: 0.0102 - mse: 8.8857 - val_loss: 0.0133 - val_mse: 11.5530
Epoch 141/1000
0s - loss: 0.0101 - mse: 8.7589 - val_loss: 0.0131 - val_mse: 11.4384
Epoch 142/1000
0s - loss: 0.0099 - mse: 8.6349 - val_loss: 0.0130 - val_mse: 11.3232
Epoch 143/1000
0s - loss: 0.0098 - mse: 8.5117 - val_loss: 0.0129 - val_mse: 11.2048
Epoch 144/1000
0s - loss: 0.0096 - mse: 8.3889 - val_loss: 0.0128 - val_mse: 11.1250
Epoch 145/1000
0s - loss: 0.0095 - mse: 8.2672 - val_loss: 0.0127 - val_mse: 11.0236
Epoch 146/1000
0s - loss: 0.0094 - mse: 8.1543 - val_loss: 0.0127 - val_mse: 11.0971
Epoch 147/1000
0s - loss: 0.0093 - mse: 8.1051 - val_loss: 0.0130 - val_mse: 11.3134
Epoch 148/1000
0s - loss: 0.0098 - mse: 8.4951 - val_loss: 0.0174 - val_mse: 15.1850
Epoch 149/1000
0s - loss: 0.0139 - mse: 12.1200 - val_loss: 0.0246 - val_mse: 21.4031
Epoch 150/1000

Epoch 00149: reducing learning rate to 0.00489999982528.
0s - loss: 0.0229 - mse: 19.9411 - val_loss: 0.0249 - val_mse: 21.6657
Epoch 151/1000
0s - loss: 0.0219 - mse: 19.0670 - val_loss: 0.0189 - val_mse: 16.4321
Epoch 152/1000
0s - loss: 0.0161 - mse: 14.0546 - val_loss: 0.0144 - val_mse: 12.5077
Epoch 153/1000
0s - loss: 0.0123 - mse: 10.6766 - val_loss: 0.0198 - val_mse: 17.2812
Epoch 154/1000
0s - loss: 0.0184 - mse: 16.0451 - val_loss: 0.0136 - val_mse: 11.8074
Epoch 155/1000
0s - loss: 0.0110 - mse: 9.5732 - val_loss: 0.0155 - val_mse: 13.4789
Epoch 156/1000
0s - loss: 0.0120 - mse: 10.4205 - val_loss: 0.0187 - val_mse: 16.2518
Epoch 157/1000
0s - loss: 0.0149 - mse: 12.9454 - val_loss: 0.0148 - val_mse: 12.8597
Epoch 158/1000
0s - loss: 0.0110 - mse: 9.5752 - val_loss: 0.0136 - val_mse: 11.8767
Epoch 159/1000
0s - loss: 0.0105 - mse: 9.1750 - val_loss: 0.0155 - val_mse: 13.4849
Epoch 160/1000
0s - loss: 0.0130 - mse: 11.3269 - val_loss: 0.0139 - val_mse: 12.1117
Epoch 161/1000
0s - loss: 0.0112 - mse: 9.7113 - val_loss: 0.0130 - val_mse: 11.3105
Epoch 162/1000
0s - loss: 0.0097 - mse: 8.4539 - val_loss: 0.0143 - val_mse: 12.4204
Epoch 163/1000
0s - loss: 0.0110 - mse: 9.5460 - val_loss: 0.0142 - val_mse: 12.3766
Epoch 164/1000

Epoch 00163: reducing learning rate to 0.00343000004068.
0s - loss: 0.0113 - mse: 9.8002 - val_loss: 0.0127 - val_mse: 11.0383
Epoch 165/1000
0s - loss: 0.0101 - mse: 8.7706 - val_loss: 0.0120 - val_mse: 10.4768
Epoch 166/1000
0s - loss: 0.0096 - mse: 8.3378 - val_loss: 0.0122 - val_mse: 10.6044
Epoch 167/1000
0s - loss: 0.0098 - mse: 8.4909 - val_loss: 0.0126 - val_mse: 10.9722
Epoch 168/1000
0s - loss: 0.0101 - mse: 8.7540 - val_loss: 0.0126 - val_mse: 10.9676
Epoch 169/1000
0s - loss: 0.0098 - mse: 8.5477 - val_loss: 0.0123 - val_mse: 10.6732
Epoch 170/1000
0s - loss: 0.0093 - mse: 8.0711 - val_loss: 0.0121 - val_mse: 10.5696
Epoch 171/1000
0s - loss: 0.0091 - mse: 7.9053 - val_loss: 0.0123 - val_mse: 10.7470
Epoch 172/1000
0s - loss: 0.0093 - mse: 8.1269 - val_loss: 0.0124 - val_mse: 10.7888
Epoch 173/1000
0s - loss: 0.0095 - mse: 8.2407 - val_loss: 0.0120 - val_mse: 10.4643
Epoch 174/1000
0s - loss: 0.0091 - mse: 7.9586 - val_loss: 0.0117 - val_mse: 10.1492
Epoch 175/1000
0s - loss: 0.0088 - mse: 7.6632 - val_loss: 0.0117 - val_mse: 10.1902
Epoch 176/1000
0s - loss: 0.0089 - mse: 7.7283 - val_loss: 0.0119 - val_mse: 10.3232
Epoch 177/1000
0s - loss: 0.0091 - mse: 7.8861 - val_loss: 0.0117 - val_mse: 10.1932
Epoch 178/1000
0s - loss: 0.0089 - mse: 7.7663 - val_loss: 0.0114 - val_mse: 9.9465
Epoch 179/1000
0s - loss: 0.0086 - mse: 7.5204 - val_loss: 0.0114 - val_mse: 9.8910
Epoch 180/1000
0s - loss: 0.0086 - mse: 7.4690 - val_loss: 0.0115 - val_mse: 9.9798
Epoch 181/1000
0s - loss: 0.0087 - mse: 7.5537 - val_loss: 0.0115 - val_mse: 9.9860
Epoch 182/1000
0s - loss: 0.0086 - mse: 7.5279 - val_loss: 0.0114 - val_mse: 9.8964
Epoch 183/1000
0s - loss: 0.0085 - mse: 7.3873 - val_loss: 0.0113 - val_mse: 9.8470
Epoch 184/1000
0s - loss: 0.0084 - mse: 7.3020 - val_loss: 0.0113 - val_mse: 9.8603
Epoch 185/1000
0s - loss: 0.0084 - mse: 7.3120 - val_loss: 0.0113 - val_mse: 9.8485
Epoch 186/1000
0s - loss: 0.0084 - mse: 7.3094 - val_loss: 0.0112 - val_mse: 9.7853
Epoch 187/1000
0s - loss: 0.0083 - mse: 7.2307 - val_loss: 0.0112 - val_mse: 9.7515
Epoch 188/1000
0s - loss: 0.0082 - mse: 7.1389 - val_loss: 0.0113 - val_mse: 9.8068
Epoch 189/1000
0s - loss: 0.0082 - mse: 7.1040 - val_loss: 0.0114 - val_mse: 9.8994
Epoch 190/1000
0s - loss: 0.0082 - mse: 7.1025 - val_loss: 0.0114 - val_mse: 9.9262
Epoch 191/1000
0s - loss: 0.0081 - mse: 7.0678 - val_loss: 0.0113 - val_mse: 9.8599
Epoch 192/1000

Epoch 00191: reducing learning rate to 0.00240100002848.
0s - loss: 0.0080 - mse: 6.9950 - val_loss: 0.0112 - val_mse: 9.7641
Epoch 193/1000
0s - loss: 0.0080 - mse: 6.9415 - val_loss: 0.0112 - val_mse: 9.7112
Epoch 194/1000
0s - loss: 0.0080 - mse: 6.9273 - val_loss: 0.0111 - val_mse: 9.6692
Epoch 195/1000
0s - loss: 0.0079 - mse: 6.9119 - val_loss: 0.0111 - val_mse: 9.6362
Epoch 196/1000
0s - loss: 0.0079 - mse: 6.8804 - val_loss: 0.0110 - val_mse: 9.6186
Epoch 197/1000
0s - loss: 0.0079 - mse: 6.8396 - val_loss: 0.0111 - val_mse: 9.6242
Epoch 198/1000
0s - loss: 0.0078 - mse: 6.8087 - val_loss: 0.0111 - val_mse: 9.6460
Epoch 199/1000
0s - loss: 0.0078 - mse: 6.7946 - val_loss: 0.0111 - val_mse: 9.6561
Epoch 200/1000
0s - loss: 0.0078 - mse: 6.7810 - val_loss: 0.0111 - val_mse: 9.6326
Epoch 201/1000
0s - loss: 0.0078 - mse: 6.7527 - val_loss: 0.0110 - val_mse: 9.5840
Epoch 202/1000
0s - loss: 0.0077 - mse: 6.7171 - val_loss: 0.0109 - val_mse: 9.5355
Epoch 203/1000
0s - loss: 0.0077 - mse: 6.6915 - val_loss: 0.0109 - val_mse: 9.5015
Epoch 204/1000
0s - loss: 0.0077 - mse: 6.6772 - val_loss: 0.0109 - val_mse: 9.4801
Epoch 205/1000
0s - loss: 0.0076 - mse: 6.6599 - val_loss: 0.0109 - val_mse: 9.4700
Epoch 206/1000
0s - loss: 0.0076 - mse: 6.6329 - val_loss: 0.0109 - val_mse: 9.4738
Epoch 207/1000

Epoch 00206: reducing learning rate to 0.00168070008513.
0s - loss: 0.0076 - mse: 6.6036 - val_loss: 0.0109 - val_mse: 9.4887
Epoch 208/1000
0s - loss: 0.0076 - mse: 6.5816 - val_loss: 0.0109 - val_mse: 9.4958
Epoch 209/1000
0s - loss: 0.0075 - mse: 6.5696 - val_loss: 0.0109 - val_mse: 9.4906
Epoch 210/1000
0s - loss: 0.0075 - mse: 6.5561 - val_loss: 0.0109 - val_mse: 9.4709
Epoch 211/1000
0s - loss: 0.0075 - mse: 6.5396 - val_loss: 0.0108 - val_mse: 9.4419
Epoch 212/1000
0s - loss: 0.0075 - mse: 6.5218 - val_loss: 0.0108 - val_mse: 9.4114
Epoch 213/1000
0s - loss: 0.0075 - mse: 6.5052 - val_loss: 0.0108 - val_mse: 9.3868
Epoch 214/1000
0s - loss: 0.0075 - mse: 6.4911 - val_loss: 0.0108 - val_mse: 9.3711
Epoch 215/1000
0s - loss: 0.0074 - mse: 6.4779 - val_loss: 0.0108 - val_mse: 9.3641
Epoch 216/1000
0s - loss: 0.0074 - mse: 6.4642 - val_loss: 0.0108 - val_mse: 9.3633
Epoch 217/1000
0s - loss: 0.0074 - mse: 6.4491 - val_loss: 0.0108 - val_mse: 9.3658
Epoch 218/1000
0s - loss: 0.0074 - mse: 6.4339 - val_loss: 0.0108 - val_mse: 9.3680
Epoch 219/1000
0s - loss: 0.0074 - mse: 6.4195 - val_loss: 0.0108 - val_mse: 9.3671
Epoch 220/1000
0s - loss: 0.0074 - mse: 6.4060 - val_loss: 0.0107 - val_mse: 9.3615
Epoch 221/1000
0s - loss: 0.0073 - mse: 6.3928 - val_loss: 0.0107 - val_mse: 9.3522
Epoch 222/1000
0s - loss: 0.0073 - mse: 6.3794 - val_loss: 0.0107 - val_mse: 9.3413
Epoch 223/1000
0s - loss: 0.0073 - mse: 6.3654 - val_loss: 0.0107 - val_mse: 9.3314
Epoch 224/1000
0s - loss: 0.0073 - mse: 6.3511 - val_loss: 0.0107 - val_mse: 9.3240
Epoch 225/1000
0s - loss: 0.0073 - mse: 6.3371 - val_loss: 0.0107 - val_mse: 9.3195
Epoch 226/1000

Epoch 00225: reducing learning rate to 0.00117649007589.
0s - loss: 0.0073 - mse: 6.3238 - val_loss: 0.0107 - val_mse: 9.3164
Epoch 227/1000
0s - loss: 0.0072 - mse: 6.3108 - val_loss: 0.0107 - val_mse: 9.3140
Epoch 228/1000
0s - loss: 0.0072 - mse: 6.3015 - val_loss: 0.0107 - val_mse: 9.3106
Epoch 229/1000
0s - loss: 0.0072 - mse: 6.2921 - val_loss: 0.0107 - val_mse: 9.3067
Epoch 230/1000
0s - loss: 0.0072 - mse: 6.2825 - val_loss: 0.0107 - val_mse: 9.3029
Epoch 231/1000
0s - loss: 0.0072 - mse: 6.2731 - val_loss: 0.0107 - val_mse: 9.3000
Epoch 232/1000
0s - loss: 0.0072 - mse: 6.2639 - val_loss: 0.0107 - val_mse: 9.2979
Epoch 233/1000
0s - loss: 0.0072 - mse: 6.2548 - val_loss: 0.0107 - val_mse: 9.2965
Epoch 234/1000
0s - loss: 0.0072 - mse: 6.2457 - val_loss: 0.0107 - val_mse: 9.2953
Epoch 235/1000
0s - loss: 0.0072 - mse: 6.2365 - val_loss: 0.0107 - val_mse: 9.2936
Epoch 236/1000
0s - loss: 0.0072 - mse: 6.2272 - val_loss: 0.0107 - val_mse: 9.2909
Epoch 237/1000
0s - loss: 0.0071 - mse: 6.2180 - val_loss: 0.0107 - val_mse: 9.2867
Epoch 238/1000
0s - loss: 0.0071 - mse: 6.2089 - val_loss: 0.0107 - val_mse: 9.2809
Epoch 239/1000
0s - loss: 0.0071 - mse: 6.1998 - val_loss: 0.0106 - val_mse: 9.2738
Epoch 240/1000

Epoch 00239: reducing learning rate to 0.000823543069419.
0s - loss: 0.0071 - mse: 6.1908 - val_loss: 0.0106 - val_mse: 9.2661
Epoch 241/1000
0s - loss: 0.0071 - mse: 6.1818 - val_loss: 0.0106 - val_mse: 9.2612
Epoch 242/1000
0s - loss: 0.0071 - mse: 6.1755 - val_loss: 0.0106 - val_mse: 9.2570
Epoch 243/1000
0s - loss: 0.0071 - mse: 6.1692 - val_loss: 0.0106 - val_mse: 9.2537
Epoch 244/1000
0s - loss: 0.0071 - mse: 6.1630 - val_loss: 0.0106 - val_mse: 9.2511
Epoch 245/1000
0s - loss: 0.0071 - mse: 6.1568 - val_loss: 0.0106 - val_mse: 9.2493
Epoch 246/1000
0s - loss: 0.0071 - mse: 6.1505 - val_loss: 0.0106 - val_mse: 9.2483
Epoch 247/1000
0s - loss: 0.0071 - mse: 6.1444 - val_loss: 0.0106 - val_mse: 9.2477
Epoch 248/1000
0s - loss: 0.0070 - mse: 6.1383 - val_loss: 0.0106 - val_mse: 9.2472
Epoch 249/1000
0s - loss: 0.0070 - mse: 6.1323 - val_loss: 0.0106 - val_mse: 9.2463
Epoch 250/1000
0s - loss: 0.0070 - mse: 6.1262 - val_loss: 0.0106 - val_mse: 9.2445
Epoch 251/1000
0s - loss: 0.0070 - mse: 6.1201 - val_loss: 0.0106 - val_mse: 9.2422
Epoch 252/1000
0s - loss: 0.0070 - mse: 6.1141 - val_loss: 0.0106 - val_mse: 9.2390
Epoch 253/1000
0s - loss: 0.0070 - mse: 6.1082 - val_loss: 0.0106 - val_mse: 9.2355
Epoch 254/1000

Epoch 00253: reducing learning rate to 0.000576480140444.
0s - loss: 0.0070 - mse: 6.1022 - val_loss: 0.0106 - val_mse: 9.2318
Epoch 255/1000
0s - loss: 0.0070 - mse: 6.0963 - val_loss: 0.0106 - val_mse: 9.2293
Epoch 256/1000
0s - loss: 0.0070 - mse: 6.0922 - val_loss: 0.0106 - val_mse: 9.2270
Epoch 257/1000
0s - loss: 0.0070 - mse: 6.0880 - val_loss: 0.0106 - val_mse: 9.2250
Epoch 258/1000
0s - loss: 0.0070 - mse: 6.0839 - val_loss: 0.0106 - val_mse: 9.2235
Epoch 259/1000
0s - loss: 0.0070 - mse: 6.0798 - val_loss: 0.0106 - val_mse: 9.2223
Epoch 260/1000
0s - loss: 0.0070 - mse: 6.0757 - val_loss: 0.0106 - val_mse: 9.2213
Epoch 261/1000
0s - loss: 0.0070 - mse: 6.0717 - val_loss: 0.0106 - val_mse: 9.2205
Epoch 262/1000
0s - loss: 0.0070 - mse: 6.0677 - val_loss: 0.0106 - val_mse: 9.2196
Epoch 263/1000
0s - loss: 0.0070 - mse: 6.0637 - val_loss: 0.0106 - val_mse: 9.2187
Epoch 264/1000
0s - loss: 0.0070 - mse: 6.0597 - val_loss: 0.0106 - val_mse: 9.2175
Epoch 265/1000
0s - loss: 0.0070 - mse: 6.0557 - val_loss: 0.0106 - val_mse: 9.2161
Epoch 266/1000
0s - loss: 0.0069 - mse: 6.0517 - val_loss: 0.0106 - val_mse: 9.2148
Epoch 267/1000
0s - loss: 0.0069 - mse: 6.0478 - val_loss: 0.0106 - val_mse: 9.2134
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.000403536082013.
0s - loss: 0.0069 - mse: 6.0438 - val_loss: 0.0106 - val_mse: 9.2121
Epoch 269/1000
0s - loss: 0.0069 - mse: 6.0398 - val_loss: 0.0106 - val_mse: 9.2112
Epoch 270/1000
0s - loss: 0.0069 - mse: 6.0370 - val_loss: 0.0106 - val_mse: 9.2102
Epoch 271/1000
0s - loss: 0.0069 - mse: 6.0343 - val_loss: 0.0106 - val_mse: 9.2090
Epoch 272/1000
0s - loss: 0.0069 - mse: 6.0315 - val_loss: 0.0106 - val_mse: 9.2076
[{'loss': 0.0077854436822235584, 'dropout': 0.0, 'val_mse': 10.15809154510498, 'width': 75, 'mse': 6.7798690795898438, 'val_loss': 0.011664718389511108}, {'loss': 0.0059745172038674355, 'dropout': 0.0, 'val_mse': 9.1544342041015625, 'width': 90, 'mse': 5.202843189239502, 'val_loss': 0.010512201115489006}, {'loss': 0.0047149923630058765, 'dropout': 0.0, 'val_mse': 6.7898726463317871, 'width': 105, 'mse': 4.1059994697570801, 'val_loss': 0.007796931080520153}, {'loss': 0.0069261062890291214, 'dropout': 0.0, 'val_mse': 9.2075967788696289, 'width': 120, 'mse': 6.0315232276916504, 'val_loss': 0.010573248378932476}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_74 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
time_distributed_71 (TimeDis (None, None, 1)           136       
=================================================================
Total params: 74,656
Trainable params: 74,656
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
4s - loss: 0.9989 - mse: 869.8665 - val_loss: 0.5419 - val_mse: 471.8831
Epoch 2/1000
0s - loss: 0.4974 - mse: 433.1248 - val_loss: 0.2903 - val_mse: 252.8065
Epoch 3/1000
0s - loss: 0.2760 - mse: 240.3453 - val_loss: 0.2483 - val_mse: 216.2318
Epoch 4/1000
0s - loss: 0.2508 - mse: 218.4299 - val_loss: 0.2303 - val_mse: 200.5875
Epoch 5/1000
0s - loss: 0.2282 - mse: 198.7171 - val_loss: 0.2292 - val_mse: 199.6307
Epoch 6/1000
0s - loss: 0.2099 - mse: 182.7479 - val_loss: 0.2185 - val_mse: 190.3174
Epoch 7/1000
0s - loss: 0.1985 - mse: 172.8571 - val_loss: 0.1561 - val_mse: 135.9172
Epoch 8/1000
0s - loss: 0.1419 - mse: 123.5940 - val_loss: 0.1452 - val_mse: 126.4024
Epoch 9/1000
0s - loss: 0.1350 - mse: 117.5487 - val_loss: 0.1483 - val_mse: 129.1851
Epoch 10/1000
0s - loss: 0.1273 - mse: 110.8390 - val_loss: 0.1524 - val_mse: 132.7547
Epoch 11/1000
0s - loss: 0.1264 - mse: 110.1113 - val_loss: 0.1384 - val_mse: 120.5405
Epoch 12/1000
0s - loss: 0.1180 - mse: 102.7181 - val_loss: 0.1195 - val_mse: 104.0410
Epoch 13/1000
0s - loss: 0.1053 - mse: 91.7167 - val_loss: 0.1128 - val_mse: 98.2398
Epoch 14/1000
0s - loss: 0.1027 - mse: 89.3929 - val_loss: 0.1076 - val_mse: 93.7338
Epoch 15/1000
0s - loss: 0.0993 - mse: 86.4502 - val_loss: 0.0963 - val_mse: 83.8186
Epoch 16/1000
0s - loss: 0.0881 - mse: 76.7559 - val_loss: 0.0862 - val_mse: 75.0818
Epoch 17/1000
0s - loss: 0.0781 - mse: 67.9830 - val_loss: 0.0838 - val_mse: 72.9926
Epoch 18/1000
0s - loss: 0.0756 - mse: 65.8428 - val_loss: 0.0862 - val_mse: 75.0521
Epoch 19/1000
0s - loss: 0.0780 - mse: 67.9638 - val_loss: 0.0825 - val_mse: 71.8661
Epoch 20/1000
0s - loss: 0.0760 - mse: 66.1531 - val_loss: 0.0769 - val_mse: 67.0035
Epoch 21/1000
0s - loss: 0.0713 - mse: 62.1281 - val_loss: 0.0754 - val_mse: 65.6601
Epoch 22/1000
0s - loss: 0.0706 - mse: 61.5081 - val_loss: 0.0711 - val_mse: 61.9516
Epoch 23/1000
0s - loss: 0.0670 - mse: 58.3098 - val_loss: 0.0662 - val_mse: 57.6472
Epoch 24/1000
0s - loss: 0.0625 - mse: 54.4274 - val_loss: 0.0624 - val_mse: 54.3527
Epoch 25/1000
0s - loss: 0.0591 - mse: 51.4971 - val_loss: 0.0617 - val_mse: 53.7236
Epoch 26/1000
0s - loss: 0.0582 - mse: 50.6915 - val_loss: 0.0617 - val_mse: 53.7389
Epoch 27/1000
0s - loss: 0.0578 - mse: 50.3518 - val_loss: 0.0600 - val_mse: 52.2286
Epoch 28/1000
0s - loss: 0.0559 - mse: 48.6675 - val_loss: 0.0568 - val_mse: 49.4264
Epoch 29/1000
0s - loss: 0.0523 - mse: 45.5430 - val_loss: 0.0553 - val_mse: 48.1770
Epoch 30/1000
0s - loss: 0.0502 - mse: 43.7546 - val_loss: 0.0527 - val_mse: 45.8905
Epoch 31/1000
0s - loss: 0.0480 - mse: 41.8342 - val_loss: 0.0512 - val_mse: 44.5656
Epoch 32/1000
0s - loss: 0.0472 - mse: 41.1357 - val_loss: 0.0512 - val_mse: 44.6004
Epoch 33/1000
0s - loss: 0.0471 - mse: 41.0470 - val_loss: 0.0492 - val_mse: 42.8186
Epoch 34/1000
0s - loss: 0.0445 - mse: 38.7360 - val_loss: 0.0489 - val_mse: 42.6204
Epoch 35/1000
0s - loss: 0.0436 - mse: 37.9940 - val_loss: 0.0472 - val_mse: 41.1283
Epoch 36/1000
0s - loss: 0.0418 - mse: 36.3631 - val_loss: 0.0459 - val_mse: 39.9820
Epoch 37/1000
0s - loss: 0.0407 - mse: 35.4678 - val_loss: 0.0447 - val_mse: 38.8854
Epoch 38/1000
0s - loss: 0.0399 - mse: 34.7658 - val_loss: 0.0434 - val_mse: 37.8110
Epoch 39/1000
0s - loss: 0.0393 - mse: 34.2170 - val_loss: 0.0415 - val_mse: 36.1645
Epoch 40/1000
0s - loss: 0.0378 - mse: 32.8807 - val_loss: 0.0408 - val_mse: 35.5458
Epoch 41/1000
0s - loss: 0.0373 - mse: 32.4684 - val_loss: 0.0396 - val_mse: 34.4825
Epoch 42/1000
0s - loss: 0.0364 - mse: 31.6806 - val_loss: 0.0381 - val_mse: 33.1842
Epoch 43/1000
0s - loss: 0.0353 - mse: 30.7055 - val_loss: 0.0372 - val_mse: 32.3920
Epoch 44/1000
0s - loss: 0.0344 - mse: 29.9566 - val_loss: 0.0368 - val_mse: 32.0178
Epoch 45/1000
0s - loss: 0.0337 - mse: 29.3632 - val_loss: 0.0364 - val_mse: 31.6798
Epoch 46/1000
0s - loss: 0.0331 - mse: 28.8017 - val_loss: 0.0359 - val_mse: 31.2691
Epoch 47/1000
0s - loss: 0.0325 - mse: 28.2638 - val_loss: 0.0350 - val_mse: 30.4541
Epoch 48/1000
0s - loss: 0.0316 - mse: 27.5532 - val_loss: 0.0335 - val_mse: 29.2109
Epoch 49/1000
0s - loss: 0.0305 - mse: 26.5763 - val_loss: 0.0329 - val_mse: 28.6640
Epoch 50/1000
0s - loss: 0.0301 - mse: 26.2374 - val_loss: 0.0324 - val_mse: 28.2182
Epoch 51/1000
0s - loss: 0.0297 - mse: 25.8404 - val_loss: 0.0320 - val_mse: 27.8699
Epoch 52/1000
0s - loss: 0.0291 - mse: 25.3414 - val_loss: 0.0317 - val_mse: 27.6130
Epoch 53/1000
0s - loss: 0.0285 - mse: 24.8422 - val_loss: 0.0313 - val_mse: 27.2233
Epoch 54/1000
0s - loss: 0.0281 - mse: 24.4287 - val_loss: 0.0304 - val_mse: 26.5117
Epoch 55/1000
0s - loss: 0.0275 - mse: 23.9251 - val_loss: 0.0296 - val_mse: 25.8078
Epoch 56/1000
0s - loss: 0.0270 - mse: 23.5050 - val_loss: 0.0290 - val_mse: 25.2203
Epoch 57/1000
0s - loss: 0.0265 - mse: 23.0610 - val_loss: 0.0285 - val_mse: 24.8320
Epoch 58/1000
0s - loss: 0.0260 - mse: 22.6484 - val_loss: 0.0282 - val_mse: 24.5274
Epoch 59/1000
0s - loss: 0.0256 - mse: 22.3247 - val_loss: 0.0276 - val_mse: 24.0706
Epoch 60/1000
0s - loss: 0.0252 - mse: 21.9624 - val_loss: 0.0270 - val_mse: 23.5132
Epoch 61/1000
0s - loss: 0.0247 - mse: 21.5130 - val_loss: 0.0267 - val_mse: 23.2453
Epoch 62/1000
0s - loss: 0.0244 - mse: 21.2382 - val_loss: 0.0263 - val_mse: 22.9377
Epoch 63/1000
0s - loss: 0.0240 - mse: 20.8798 - val_loss: 0.0261 - val_mse: 22.7309
Epoch 64/1000
0s - loss: 0.0236 - mse: 20.5658 - val_loss: 0.0258 - val_mse: 22.4965
Epoch 65/1000
0s - loss: 0.0232 - mse: 20.2380 - val_loss: 0.0254 - val_mse: 22.0981
Epoch 66/1000
0s - loss: 0.0228 - mse: 19.8531 - val_loss: 0.0251 - val_mse: 21.8425
Epoch 67/1000
0s - loss: 0.0224 - mse: 19.5490 - val_loss: 0.0248 - val_mse: 21.6271
Epoch 68/1000
0s - loss: 0.0220 - mse: 19.1899 - val_loss: 0.0246 - val_mse: 21.3995
Epoch 69/1000
0s - loss: 0.0217 - mse: 18.9036 - val_loss: 0.0243 - val_mse: 21.1664
Epoch 70/1000
0s - loss: 0.0213 - mse: 18.5777 - val_loss: 0.0237 - val_mse: 20.6685
Epoch 71/1000
0s - loss: 0.0209 - mse: 18.1708 - val_loss: 0.0233 - val_mse: 20.3134
Epoch 72/1000
0s - loss: 0.0205 - mse: 17.8240 - val_loss: 0.0228 - val_mse: 19.8459
Epoch 73/1000
0s - loss: 0.0200 - mse: 17.4421 - val_loss: 0.0224 - val_mse: 19.4767
Epoch 74/1000
0s - loss: 0.0196 - mse: 17.0947 - val_loss: 0.0218 - val_mse: 19.0106
Epoch 75/1000
0s - loss: 0.0192 - mse: 16.7472 - val_loss: 0.0215 - val_mse: 18.7571
Epoch 76/1000
0s - loss: 0.0189 - mse: 16.4410 - val_loss: 0.0211 - val_mse: 18.3836
Epoch 77/1000
0s - loss: 0.0187 - mse: 16.2880 - val_loss: 0.0227 - val_mse: 19.7594
Epoch 78/1000
0s - loss: 0.0199 - mse: 17.3696 - val_loss: 0.0255 - val_mse: 22.1859
Epoch 79/1000
0s - loss: 0.0241 - mse: 21.0011 - val_loss: 0.0359 - val_mse: 31.2364
Epoch 80/1000
0s - loss: 0.0337 - mse: 29.3665 - val_loss: 0.0209 - val_mse: 18.2207
Epoch 81/1000
0s - loss: 0.0186 - mse: 16.2225 - val_loss: 0.0311 - val_mse: 27.0991
Epoch 82/1000
0s - loss: 0.0309 - mse: 26.8718 - val_loss: 0.0195 - val_mse: 16.9959
Epoch 83/1000
0s - loss: 0.0175 - mse: 15.2401 - val_loss: 0.0258 - val_mse: 22.4482
Epoch 84/1000
0s - loss: 0.0235 - mse: 20.4353 - val_loss: 0.0233 - val_mse: 20.3260
Epoch 85/1000
0s - loss: 0.0209 - mse: 18.1825 - val_loss: 0.0202 - val_mse: 17.6061
Epoch 86/1000
0s - loss: 0.0179 - mse: 15.6163 - val_loss: 0.0231 - val_mse: 20.0838
Epoch 87/1000

Epoch 00086: reducing learning rate to 0.00699999984354.
6s - loss: 0.0213 - mse: 18.5795 - val_loss: 0.0207 - val_mse: 17.9964
Epoch 88/1000
0s - loss: 0.0186 - mse: 16.2367 - val_loss: 0.0199 - val_mse: 17.3650
Epoch 89/1000
0s - loss: 0.0175 - mse: 15.2302 - val_loss: 0.0206 - val_mse: 17.9699
Epoch 90/1000
0s - loss: 0.0179 - mse: 15.6302 - val_loss: 0.0205 - val_mse: 17.8169
Epoch 91/1000
0s - loss: 0.0177 - mse: 15.4319 - val_loss: 0.0197 - val_mse: 17.1138
Epoch 92/1000
0s - loss: 0.0170 - mse: 14.7889 - val_loss: 0.0192 - val_mse: 16.7509
Epoch 93/1000
0s - loss: 0.0168 - mse: 14.5923 - val_loss: 0.0184 - val_mse: 16.0648
Epoch 94/1000
0s - loss: 0.0161 - mse: 14.0584 - val_loss: 0.0182 - val_mse: 15.8098
Epoch 95/1000
0s - loss: 0.0158 - mse: 13.8005 - val_loss: 0.0184 - val_mse: 16.0097
Epoch 96/1000
0s - loss: 0.0160 - mse: 13.9239 - val_loss: 0.0180 - val_mse: 15.6420
Epoch 97/1000
0s - loss: 0.0156 - mse: 13.5419 - val_loss: 0.0172 - val_mse: 14.9556
Epoch 98/1000
0s - loss: 0.0148 - mse: 12.8922 - val_loss: 0.0171 - val_mse: 14.9330
Epoch 99/1000
0s - loss: 0.0148 - mse: 12.8688 - val_loss: 0.0174 - val_mse: 15.1513
Epoch 100/1000
0s - loss: 0.0150 - mse: 13.0591 - val_loss: 0.0168 - val_mse: 14.6049
Epoch 101/1000
0s - loss: 0.0144 - mse: 12.5273 - val_loss: 0.0162 - val_mse: 14.1345
Epoch 102/1000
0s - loss: 0.0139 - mse: 12.0978 - val_loss: 0.0163 - val_mse: 14.2322
Epoch 103/1000
0s - loss: 0.0141 - mse: 12.2598 - val_loss: 0.0162 - val_mse: 14.1070
Epoch 104/1000
0s - loss: 0.0140 - mse: 12.2339 - val_loss: 0.0156 - val_mse: 13.5875
Epoch 105/1000
0s - loss: 0.0135 - mse: 11.7937 - val_loss: 0.0154 - val_mse: 13.3929
Epoch 106/1000
0s - loss: 0.0133 - mse: 11.5681 - val_loss: 0.0156 - val_mse: 13.6142
Epoch 107/1000
0s - loss: 0.0134 - mse: 11.6660 - val_loss: 0.0156 - val_mse: 13.5808
Epoch 108/1000
0s - loss: 0.0133 - mse: 11.5406 - val_loss: 0.0152 - val_mse: 13.1958
Epoch 109/1000
0s - loss: 0.0129 - mse: 11.1937 - val_loss: 0.0149 - val_mse: 12.9465
Epoch 110/1000
0s - loss: 0.0127 - mse: 11.0824 - val_loss: 0.0148 - val_mse: 12.8709
Epoch 111/1000
0s - loss: 0.0128 - mse: 11.1348 - val_loss: 0.0145 - val_mse: 12.6346
Epoch 112/1000
0s - loss: 0.0126 - mse: 10.9343 - val_loss: 0.0143 - val_mse: 12.4428
Epoch 113/1000
0s - loss: 0.0123 - mse: 10.6700 - val_loss: 0.0144 - val_mse: 12.5445
Epoch 114/1000
0s - loss: 0.0123 - mse: 10.6680 - val_loss: 0.0144 - val_mse: 12.5087
Epoch 115/1000
0s - loss: 0.0122 - mse: 10.6299 - val_loss: 0.0140 - val_mse: 12.1606
Epoch 116/1000
0s - loss: 0.0119 - mse: 10.4022 - val_loss: 0.0137 - val_mse: 11.9256
Epoch 117/1000
0s - loss: 0.0118 - mse: 10.2933 - val_loss: 0.0136 - val_mse: 11.8727
Epoch 118/1000
0s - loss: 0.0118 - mse: 10.2789 - val_loss: 0.0135 - val_mse: 11.7892
Epoch 119/1000
0s - loss: 0.0117 - mse: 10.1514 - val_loss: 0.0134 - val_mse: 11.6900
Epoch 120/1000
0s - loss: 0.0115 - mse: 10.0049 - val_loss: 0.0133 - val_mse: 11.6061
Epoch 121/1000
0s - loss: 0.0114 - mse: 9.9439 - val_loss: 0.0132 - val_mse: 11.4643
Epoch 122/1000
0s - loss: 0.0113 - mse: 9.8779 - val_loss: 0.0129 - val_mse: 11.2736
Epoch 123/1000
0s - loss: 0.0112 - mse: 9.7498 - val_loss: 0.0128 - val_mse: 11.1594
Epoch 124/1000
0s - loss: 0.0111 - mse: 9.6573 - val_loss: 0.0127 - val_mse: 11.0955
Epoch 125/1000
0s - loss: 0.0110 - mse: 9.6034 - val_loss: 0.0126 - val_mse: 10.9621
Epoch 126/1000
0s - loss: 0.0109 - mse: 9.5042 - val_loss: 0.0124 - val_mse: 10.8418
Epoch 127/1000
0s - loss: 0.0108 - mse: 9.4169 - val_loss: 0.0124 - val_mse: 10.7873
Epoch 128/1000
0s - loss: 0.0107 - mse: 9.3557 - val_loss: 0.0123 - val_mse: 10.7305
Epoch 129/1000
0s - loss: 0.0107 - mse: 9.2756 - val_loss: 0.0122 - val_mse: 10.6572
Epoch 130/1000
0s - loss: 0.0106 - mse: 9.2084 - val_loss: 0.0121 - val_mse: 10.5399
Epoch 131/1000
0s - loss: 0.0105 - mse: 9.1404 - val_loss: 0.0120 - val_mse: 10.4126
Epoch 132/1000
0s - loss: 0.0104 - mse: 9.0681 - val_loss: 0.0119 - val_mse: 10.3307
Epoch 133/1000
0s - loss: 0.0103 - mse: 9.0026 - val_loss: 0.0118 - val_mse: 10.2871
Epoch 134/1000
0s - loss: 0.0103 - mse: 8.9387 - val_loss: 0.0117 - val_mse: 10.2268
Epoch 135/1000
0s - loss: 0.0102 - mse: 8.8660 - val_loss: 0.0117 - val_mse: 10.1503
Epoch 136/1000
0s - loss: 0.0101 - mse: 8.8034 - val_loss: 0.0116 - val_mse: 10.0715
Epoch 137/1000
0s - loss: 0.0100 - mse: 8.7479 - val_loss: 0.0115 - val_mse: 9.9778
Epoch 138/1000
0s - loss: 0.0100 - mse: 8.6739 - val_loss: 0.0114 - val_mse: 9.9061
Epoch 139/1000
0s - loss: 0.0099 - mse: 8.6158 - val_loss: 0.0113 - val_mse: 9.8406
Epoch 140/1000
0s - loss: 0.0098 - mse: 8.5621 - val_loss: 0.0112 - val_mse: 9.7724
Epoch 141/1000
0s - loss: 0.0098 - mse: 8.4946 - val_loss: 0.0112 - val_mse: 9.7257
Epoch 142/1000
0s - loss: 0.0097 - mse: 8.4345 - val_loss: 0.0111 - val_mse: 9.6822
Epoch 143/1000
0s - loss: 0.0096 - mse: 8.3835 - val_loss: 0.0110 - val_mse: 9.6029
Epoch 144/1000
0s - loss: 0.0096 - mse: 8.3187 - val_loss: 0.0109 - val_mse: 9.5225
Epoch 145/1000
0s - loss: 0.0095 - mse: 8.2620 - val_loss: 0.0109 - val_mse: 9.4639
Epoch 146/1000
0s - loss: 0.0094 - mse: 8.2097 - val_loss: 0.0108 - val_mse: 9.4171
Epoch 147/1000
0s - loss: 0.0094 - mse: 8.1501 - val_loss: 0.0108 - val_mse: 9.3739
Epoch 148/1000
0s - loss: 0.0093 - mse: 8.0940 - val_loss: 0.0107 - val_mse: 9.3277
Epoch 149/1000
0s - loss: 0.0092 - mse: 8.0415 - val_loss: 0.0106 - val_mse: 9.2690
Epoch 150/1000
0s - loss: 0.0092 - mse: 7.9847 - val_loss: 0.0106 - val_mse: 9.2035
Epoch 151/1000
0s - loss: 0.0091 - mse: 7.9308 - val_loss: 0.0105 - val_mse: 9.1283
Epoch 152/1000
0s - loss: 0.0090 - mse: 7.8765 - val_loss: 0.0104 - val_mse: 9.0617
Epoch 153/1000
0s - loss: 0.0090 - mse: 7.8237 - val_loss: 0.0103 - val_mse: 9.0063
Epoch 154/1000
0s - loss: 0.0089 - mse: 7.7693 - val_loss: 0.0103 - val_mse: 8.9541
Epoch 155/1000
0s - loss: 0.0089 - mse: 7.7163 - val_loss: 0.0102 - val_mse: 8.8913
Epoch 156/1000
0s - loss: 0.0088 - mse: 7.6638 - val_loss: 0.0101 - val_mse: 8.8217
Epoch 157/1000
0s - loss: 0.0087 - mse: 7.6102 - val_loss: 0.0101 - val_mse: 8.7584
Epoch 158/1000
0s - loss: 0.0087 - mse: 7.5574 - val_loss: 0.0100 - val_mse: 8.7004
Epoch 159/1000
0s - loss: 0.0086 - mse: 7.5060 - val_loss: 0.0099 - val_mse: 8.6460
Epoch 160/1000
0s - loss: 0.0086 - mse: 7.4528 - val_loss: 0.0099 - val_mse: 8.5991
Epoch 161/1000
0s - loss: 0.0085 - mse: 7.4006 - val_loss: 0.0098 - val_mse: 8.5428
Epoch 162/1000
0s - loss: 0.0084 - mse: 7.3492 - val_loss: 0.0097 - val_mse: 8.4708
Epoch 163/1000
0s - loss: 0.0084 - mse: 7.2960 - val_loss: 0.0096 - val_mse: 8.4016
Epoch 164/1000
0s - loss: 0.0083 - mse: 7.2444 - val_loss: 0.0096 - val_mse: 8.3409
Epoch 165/1000
0s - loss: 0.0083 - mse: 7.1920 - val_loss: 0.0095 - val_mse: 8.2865
Epoch 166/1000
0s - loss: 0.0082 - mse: 7.1396 - val_loss: 0.0095 - val_mse: 8.2376
Epoch 167/1000
0s - loss: 0.0081 - mse: 7.0870 - val_loss: 0.0094 - val_mse: 8.1792
Epoch 168/1000
0s - loss: 0.0081 - mse: 7.0349 - val_loss: 0.0093 - val_mse: 8.1094
Epoch 169/1000
0s - loss: 0.0080 - mse: 6.9822 - val_loss: 0.0092 - val_mse: 8.0437
Epoch 170/1000
0s - loss: 0.0080 - mse: 6.9293 - val_loss: 0.0092 - val_mse: 7.9850
Epoch 171/1000
0s - loss: 0.0079 - mse: 6.8769 - val_loss: 0.0091 - val_mse: 7.9298
Epoch 172/1000
0s - loss: 0.0078 - mse: 6.8244 - val_loss: 0.0090 - val_mse: 7.8773
Epoch 173/1000
0s - loss: 0.0078 - mse: 6.7725 - val_loss: 0.0090 - val_mse: 7.8123
Epoch 174/1000
0s - loss: 0.0077 - mse: 6.7194 - val_loss: 0.0089 - val_mse: 7.7492
Epoch 175/1000
0s - loss: 0.0077 - mse: 6.6667 - val_loss: 0.0088 - val_mse: 7.6828
Epoch 176/1000
0s - loss: 0.0076 - mse: 6.6126 - val_loss: 0.0088 - val_mse: 7.6246
Epoch 177/1000
0s - loss: 0.0075 - mse: 6.5583 - val_loss: 0.0087 - val_mse: 7.5623
Epoch 178/1000
0s - loss: 0.0075 - mse: 6.5038 - val_loss: 0.0086 - val_mse: 7.4970
Epoch 179/1000
0s - loss: 0.0074 - mse: 6.4487 - val_loss: 0.0085 - val_mse: 7.4292
Epoch 180/1000
0s - loss: 0.0073 - mse: 6.3935 - val_loss: 0.0085 - val_mse: 7.3720
Epoch 181/1000
0s - loss: 0.0073 - mse: 6.3396 - val_loss: 0.0084 - val_mse: 7.3238
Epoch 182/1000
0s - loss: 0.0072 - mse: 6.2931 - val_loss: 0.0084 - val_mse: 7.3112
Epoch 183/1000
0s - loss: 0.0072 - mse: 6.2832 - val_loss: 0.0086 - val_mse: 7.4898
Epoch 184/1000
0s - loss: 0.0074 - mse: 6.4487 - val_loss: 0.0096 - val_mse: 8.3707
Epoch 185/1000
0s - loss: 0.0083 - mse: 7.2492 - val_loss: 0.0121 - val_mse: 10.5224
Epoch 186/1000

Epoch 00185: reducing learning rate to 0.00489999982528.
0s - loss: 0.0106 - mse: 9.2475 - val_loss: 0.0112 - val_mse: 9.7273
Epoch 187/1000
0s - loss: 0.0097 - mse: 8.4674 - val_loss: 0.0082 - val_mse: 7.1529
Epoch 188/1000
0s - loss: 0.0072 - mse: 6.2272 - val_loss: 0.0098 - val_mse: 8.5454
Epoch 189/1000
0s - loss: 0.0088 - mse: 7.6808 - val_loss: 0.0084 - val_mse: 7.2774
Epoch 190/1000
0s - loss: 0.0074 - mse: 6.4105 - val_loss: 0.0093 - val_mse: 8.1264
Epoch 191/1000
0s - loss: 0.0080 - mse: 6.9829 - val_loss: 0.0090 - val_mse: 7.8230
Epoch 192/1000
0s - loss: 0.0077 - mse: 6.6813 - val_loss: 0.0084 - val_mse: 7.3002
Epoch 193/1000
0s - loss: 0.0073 - mse: 6.3477 - val_loss: 0.0090 - val_mse: 7.8160
Epoch 194/1000
0s - loss: 0.0079 - mse: 6.8641 - val_loss: 0.0080 - val_mse: 6.9914
Epoch 195/1000
0s - loss: 0.0069 - mse: 6.0042 - val_loss: 0.0090 - val_mse: 7.8107
Epoch 196/1000
0s - loss: 0.0077 - mse: 6.6698 - val_loss: 0.0082 - val_mse: 7.1431
Epoch 197/1000
0s - loss: 0.0070 - mse: 6.0967 - val_loss: 0.0082 - val_mse: 7.1638
Epoch 198/1000
0s - loss: 0.0071 - mse: 6.2101 - val_loss: 0.0084 - val_mse: 7.2826
Epoch 199/1000
0s - loss: 0.0072 - mse: 6.2955 - val_loss: 0.0080 - val_mse: 6.9273
Epoch 200/1000

Epoch 00199: reducing learning rate to 0.00343000004068.
0s - loss: 0.0067 - mse: 5.8682 - val_loss: 0.0085 - val_mse: 7.3925
Epoch 201/1000
0s - loss: 0.0072 - mse: 6.2536 - val_loss: 0.0080 - val_mse: 6.9970
Epoch 202/1000
0s - loss: 0.0068 - mse: 5.9031 - val_loss: 0.0079 - val_mse: 6.9170
Epoch 203/1000
0s - loss: 0.0067 - mse: 5.8580 - val_loss: 0.0082 - val_mse: 7.1352
Epoch 204/1000
0s - loss: 0.0070 - mse: 6.0690 - val_loss: 0.0079 - val_mse: 6.8424
Epoch 205/1000
0s - loss: 0.0066 - mse: 5.7838 - val_loss: 0.0079 - val_mse: 6.8592
Epoch 206/1000
0s - loss: 0.0066 - mse: 5.7836 - val_loss: 0.0080 - val_mse: 6.9831
Epoch 207/1000
0s - loss: 0.0068 - mse: 5.9092 - val_loss: 0.0077 - val_mse: 6.6980
Epoch 208/1000
0s - loss: 0.0065 - mse: 5.6760 - val_loss: 0.0077 - val_mse: 6.7074
Epoch 209/1000
0s - loss: 0.0066 - mse: 5.7122 - val_loss: 0.0078 - val_mse: 6.7567
Epoch 210/1000
0s - loss: 0.0066 - mse: 5.7657 - val_loss: 0.0075 - val_mse: 6.5687
Epoch 211/1000
0s - loss: 0.0064 - mse: 5.5800 - val_loss: 0.0076 - val_mse: 6.6474
Epoch 212/1000
0s - loss: 0.0065 - mse: 5.6391 - val_loss: 0.0076 - val_mse: 6.6430
Epoch 213/1000
0s - loss: 0.0065 - mse: 5.6342 - val_loss: 0.0075 - val_mse: 6.4894
Epoch 214/1000
0s - loss: 0.0063 - mse: 5.4986 - val_loss: 0.0075 - val_mse: 6.5553
Epoch 215/1000

Epoch 00214: reducing learning rate to 0.00240100002848.
0s - loss: 0.0064 - mse: 5.5650 - val_loss: 0.0075 - val_mse: 6.4894
Epoch 216/1000
0s - loss: 0.0063 - mse: 5.5089 - val_loss: 0.0074 - val_mse: 6.4036
Epoch 217/1000
0s - loss: 0.0062 - mse: 5.4325 - val_loss: 0.0074 - val_mse: 6.4283
Epoch 218/1000
0s - loss: 0.0063 - mse: 5.4564 - val_loss: 0.0074 - val_mse: 6.4276
Epoch 219/1000
0s - loss: 0.0063 - mse: 5.4539 - val_loss: 0.0073 - val_mse: 6.3590
Epoch 220/1000
0s - loss: 0.0062 - mse: 5.3848 - val_loss: 0.0073 - val_mse: 6.3623
Epoch 221/1000
0s - loss: 0.0062 - mse: 5.3783 - val_loss: 0.0073 - val_mse: 6.3829
Epoch 222/1000
0s - loss: 0.0062 - mse: 5.3871 - val_loss: 0.0073 - val_mse: 6.3323
Epoch 223/1000
0s - loss: 0.0061 - mse: 5.3349 - val_loss: 0.0072 - val_mse: 6.3077
Epoch 224/1000
0s - loss: 0.0061 - mse: 5.3116 - val_loss: 0.0073 - val_mse: 6.3190
Epoch 225/1000
0s - loss: 0.0061 - mse: 5.3195 - val_loss: 0.0072 - val_mse: 6.2890
Epoch 226/1000
0s - loss: 0.0061 - mse: 5.2817 - val_loss: 0.0072 - val_mse: 6.2728
Epoch 227/1000
0s - loss: 0.0060 - mse: 5.2519 - val_loss: 0.0072 - val_mse: 6.2882
Epoch 228/1000
0s - loss: 0.0060 - mse: 5.2540 - val_loss: 0.0072 - val_mse: 6.2605
Epoch 229/1000
0s - loss: 0.0060 - mse: 5.2253 - val_loss: 0.0071 - val_mse: 6.2204
Epoch 230/1000
0s - loss: 0.0060 - mse: 5.1944 - val_loss: 0.0071 - val_mse: 6.2090
Epoch 231/1000
0s - loss: 0.0060 - mse: 5.1909 - val_loss: 0.0071 - val_mse: 6.1855
Epoch 232/1000
0s - loss: 0.0059 - mse: 5.1669 - val_loss: 0.0071 - val_mse: 6.1660
Epoch 233/1000
0s - loss: 0.0059 - mse: 5.1378 - val_loss: 0.0071 - val_mse: 6.1708
Epoch 234/1000

Epoch 00233: reducing learning rate to 0.00168070008513.
0s - loss: 0.0059 - mse: 5.1307 - val_loss: 0.0071 - val_mse: 6.1513
Epoch 235/1000
0s - loss: 0.0059 - mse: 5.1085 - val_loss: 0.0070 - val_mse: 6.1261
Epoch 236/1000
0s - loss: 0.0058 - mse: 5.0874 - val_loss: 0.0070 - val_mse: 6.1110
Epoch 237/1000
0s - loss: 0.0058 - mse: 5.0774 - val_loss: 0.0070 - val_mse: 6.1008
Epoch 238/1000
0s - loss: 0.0058 - mse: 5.0684 - val_loss: 0.0070 - val_mse: 6.0868
Epoch 239/1000
0s - loss: 0.0058 - mse: 5.0499 - val_loss: 0.0070 - val_mse: 6.0795
Epoch 240/1000
0s - loss: 0.0058 - mse: 5.0339 - val_loss: 0.0070 - val_mse: 6.0781
Epoch 241/1000
0s - loss: 0.0058 - mse: 5.0248 - val_loss: 0.0070 - val_mse: 6.0663
Epoch 242/1000
0s - loss: 0.0058 - mse: 5.0109 - val_loss: 0.0069 - val_mse: 6.0456
Epoch 243/1000
0s - loss: 0.0057 - mse: 4.9930 - val_loss: 0.0069 - val_mse: 6.0298
Epoch 244/1000
0s - loss: 0.0057 - mse: 4.9809 - val_loss: 0.0069 - val_mse: 6.0184
Epoch 245/1000
0s - loss: 0.0057 - mse: 4.9694 - val_loss: 0.0069 - val_mse: 6.0070
Epoch 246/1000
0s - loss: 0.0057 - mse: 4.9530 - val_loss: 0.0069 - val_mse: 6.0006
Epoch 247/1000
0s - loss: 0.0057 - mse: 4.9383 - val_loss: 0.0069 - val_mse: 5.9961
Epoch 248/1000

Epoch 00247: reducing learning rate to 0.00117649007589.
0s - loss: 0.0057 - mse: 4.9268 - val_loss: 0.0069 - val_mse: 5.9841
Epoch 249/1000
0s - loss: 0.0056 - mse: 4.9122 - val_loss: 0.0069 - val_mse: 5.9723
Epoch 250/1000
0s - loss: 0.0056 - mse: 4.9009 - val_loss: 0.0068 - val_mse: 5.9622
Epoch 251/1000
0s - loss: 0.0056 - mse: 4.8913 - val_loss: 0.0068 - val_mse: 5.9545
Epoch 252/1000
0s - loss: 0.0056 - mse: 4.8828 - val_loss: 0.0068 - val_mse: 5.9474
Epoch 253/1000
0s - loss: 0.0056 - mse: 4.8727 - val_loss: 0.0068 - val_mse: 5.9410
Epoch 254/1000
0s - loss: 0.0056 - mse: 4.8618 - val_loss: 0.0068 - val_mse: 5.9359
Epoch 255/1000
0s - loss: 0.0056 - mse: 4.8520 - val_loss: 0.0068 - val_mse: 5.9299
Epoch 256/1000
0s - loss: 0.0056 - mse: 4.8429 - val_loss: 0.0068 - val_mse: 5.9202
Epoch 257/1000
0s - loss: 0.0055 - mse: 4.8328 - val_loss: 0.0068 - val_mse: 5.9081
Epoch 258/1000
0s - loss: 0.0055 - mse: 4.8221 - val_loss: 0.0068 - val_mse: 5.8966
Epoch 259/1000
0s - loss: 0.0055 - mse: 4.8122 - val_loss: 0.0068 - val_mse: 5.8870
Epoch 260/1000
0s - loss: 0.0055 - mse: 4.8027 - val_loss: 0.0068 - val_mse: 5.8788
Epoch 261/1000
0s - loss: 0.0055 - mse: 4.7925 - val_loss: 0.0067 - val_mse: 5.8721
Epoch 262/1000

Epoch 00261: reducing learning rate to 0.000823543069419.
0s - loss: 0.0055 - mse: 4.7819 - val_loss: 0.0067 - val_mse: 5.8664
Epoch 263/1000
0s - loss: 0.0055 - mse: 4.7720 - val_loss: 0.0067 - val_mse: 5.8617
Epoch 264/1000
0s - loss: 0.0055 - mse: 4.7651 - val_loss: 0.0067 - val_mse: 5.8554
Epoch 265/1000
0s - loss: 0.0055 - mse: 4.7578 - val_loss: 0.0067 - val_mse: 5.8481
Epoch 266/1000
0s - loss: 0.0055 - mse: 4.7504 - val_loss: 0.0067 - val_mse: 5.8407
Epoch 267/1000
0s - loss: 0.0054 - mse: 4.7432 - val_loss: 0.0067 - val_mse: 5.8339
Epoch 268/1000
0s - loss: 0.0054 - mse: 4.7362 - val_loss: 0.0067 - val_mse: 5.8279
Epoch 269/1000
0s - loss: 0.0054 - mse: 4.7290 - val_loss: 0.0067 - val_mse: 5.8226
Epoch 270/1000
0s - loss: 0.0054 - mse: 4.7217 - val_loss: 0.0067 - val_mse: 5.8180
Epoch 271/1000
0s - loss: 0.0054 - mse: 4.7143 - val_loss: 0.0067 - val_mse: 5.8135
Epoch 272/1000
0s - loss: 0.0054 - mse: 4.7071 - val_loss: 0.0067 - val_mse: 5.8085
Epoch 273/1000
0s - loss: 0.0054 - mse: 4.6999 - val_loss: 0.0067 - val_mse: 5.8026
Epoch 274/1000
0s - loss: 0.0054 - mse: 4.6926 - val_loss: 0.0067 - val_mse: 5.7960
Epoch 275/1000
0s - loss: 0.0054 - mse: 4.6851 - val_loss: 0.0066 - val_mse: 5.7896
Epoch 276/1000

Epoch 00275: reducing learning rate to 0.000576480140444.
0s - loss: 0.0054 - mse: 4.6778 - val_loss: 0.0066 - val_mse: 5.7834
Epoch 277/1000
0s - loss: 0.0054 - mse: 4.6705 - val_loss: 0.0066 - val_mse: 5.7794
Epoch 278/1000
0s - loss: 0.0054 - mse: 4.6653 - val_loss: 0.0066 - val_mse: 5.7755
Epoch 279/1000
0s - loss: 0.0054 - mse: 4.6600 - val_loss: 0.0066 - val_mse: 5.7721
Epoch 280/1000
0s - loss: 0.0053 - mse: 4.6548 - val_loss: 0.0066 - val_mse: 5.7687
Epoch 281/1000
0s - loss: 0.0053 - mse: 4.6496 - val_loss: 0.0066 - val_mse: 5.7653
Epoch 282/1000
0s - loss: 0.0053 - mse: 4.6444 - val_loss: 0.0066 - val_mse: 5.7617
Epoch 283/1000
0s - loss: 0.0053 - mse: 4.6392 - val_loss: 0.0066 - val_mse: 5.7578
Epoch 284/1000
0s - loss: 0.0053 - mse: 4.6339 - val_loss: 0.0066 - val_mse: 5.7537
Epoch 285/1000
0s - loss: 0.0053 - mse: 4.6287 - val_loss: 0.0066 - val_mse: 5.7496
Epoch 286/1000
0s - loss: 0.0053 - mse: 4.6234 - val_loss: 0.0066 - val_mse: 5.7453
Epoch 287/1000
0s - loss: 0.0053 - mse: 4.6182 - val_loss: 0.0066 - val_mse: 5.7411
Epoch 288/1000
0s - loss: 0.0053 - mse: 4.6129 - val_loss: 0.0066 - val_mse: 5.7370
Epoch 289/1000
0s - loss: 0.0053 - mse: 4.6077 - val_loss: 0.0066 - val_mse: 5.7329
Epoch 290/1000

Epoch 00289: reducing learning rate to 0.000403536082013.
0s - loss: 0.0053 - mse: 4.6024 - val_loss: 0.0066 - val_mse: 5.7289
Epoch 291/1000
0s - loss: 0.0053 - mse: 4.5972 - val_loss: 0.0066 - val_mse: 5.7262
Epoch 292/1000
0s - loss: 0.0053 - mse: 4.5936 - val_loss: 0.0066 - val_mse: 5.7235
Epoch 293/1000
0s - loss: 0.0053 - mse: 4.5899 - val_loss: 0.0066 - val_mse: 5.7209
Epoch 294/1000
0s - loss: 0.0053 - mse: 4.5863 - val_loss: 0.0066 - val_mse: 5.7183
Epoch 295/1000
0s - loss: 0.0053 - mse: 4.5826 - val_loss: 0.0066 - val_mse: 5.7156
Epoch 296/1000
0s - loss: 0.0053 - mse: 4.5789 - val_loss: 0.0066 - val_mse: 5.7130
Epoch 297/1000
0s - loss: 0.0053 - mse: 4.5753 - val_loss: 0.0066 - val_mse: 5.7104
Epoch 298/1000
0s - loss: 0.0052 - mse: 4.5716 - val_loss: 0.0066 - val_mse: 5.7078
Epoch 299/1000
0s - loss: 0.0052 - mse: 4.5679 - val_loss: 0.0066 - val_mse: 5.7052
Epoch 300/1000
0s - loss: 0.0052 - mse: 4.5642 - val_loss: 0.0065 - val_mse: 5.7027
Epoch 301/1000
0s - loss: 0.0052 - mse: 4.5606 - val_loss: 0.0065 - val_mse: 5.7000
Epoch 302/1000
0s - loss: 0.0052 - mse: 4.5569 - val_loss: 0.0065 - val_mse: 5.6972
Epoch 303/1000
0s - loss: 0.0052 - mse: 4.5532 - val_loss: 0.0065 - val_mse: 5.6943
Epoch 304/1000

Epoch 00303: reducing learning rate to 0.000282475253334.
0s - loss: 0.0052 - mse: 4.5495 - val_loss: 0.0065 - val_mse: 5.6913
Epoch 305/1000
0s - loss: 0.0052 - mse: 4.5459 - val_loss: 0.0065 - val_mse: 5.6892
Epoch 306/1000
0s - loss: 0.0052 - mse: 4.5433 - val_loss: 0.0065 - val_mse: 5.6871
Epoch 307/1000
0s - loss: 0.0052 - mse: 4.5407 - val_loss: 0.0065 - val_mse: 5.6851
Epoch 308/1000
0s - loss: 0.0052 - mse: 4.5381 - val_loss: 0.0065 - val_mse: 5.6830
Epoch 309/1000
0s - loss: 0.0052 - mse: 4.5356 - val_loss: 0.0065 - val_mse: 5.6811
Epoch 310/1000
0s - loss: 0.0052 - mse: 4.5330 - val_loss: 0.0065 - val_mse: 5.6792
Epoch 311/1000
0s - loss: 0.0052 - mse: 4.5304 - val_loss: 0.0065 - val_mse: 5.6773
Epoch 312/1000
0s - loss: 0.0052 - mse: 4.5278 - val_loss: 0.0065 - val_mse: 5.6755
Epoch 313/1000
0s - loss: 0.0052 - mse: 4.5253 - val_loss: 0.0065 - val_mse: 5.6736
Epoch 314/1000
0s - loss: 0.0052 - mse: 4.5227 - val_loss: 0.0065 - val_mse: 5.6717
[{'loss': 0.0077854436822235584, 'dropout': 0.0, 'val_mse': 10.15809154510498, 'width': 75, 'mse': 6.7798690795898438, 'val_loss': 0.011664718389511108}, {'loss': 0.0059745172038674355, 'dropout': 0.0, 'val_mse': 9.1544342041015625, 'width': 90, 'mse': 5.202843189239502, 'val_loss': 0.010512201115489006}, {'loss': 0.0047149923630058765, 'dropout': 0.0, 'val_mse': 6.7898726463317871, 'width': 105, 'mse': 4.1059994697570801, 'val_loss': 0.007796931080520153}, {'loss': 0.0069261062890291214, 'dropout': 0.0, 'val_mse': 9.2075967788696289, 'width': 120, 'mse': 6.0315232276916504, 'val_loss': 0.010573248378932476}, {'loss': 0.0051935072988271713, 'dropout': 0.0, 'val_mse': 5.6717453002929688, 'width': 135, 'mse': 4.5227084159851074, 'val_loss': 0.0065129664726555347}]



In [70]:

    
pd.DataFrame(width3_perf).loc[:,['width','mse','val_mse']].set_index('width').plot(logy=True)









    Out[70]:





<matplotlib.axes._subplots.AxesSubplot at 0x1a2037610>

Final run for 1 layer

Conclusion 1 layer of about 135 seems best, let's see if we can improve with another layer.
Because there can be a bit of variance, let's do a few runs first.



In [60]:

    
width1 = 135



In [61]:

    
rerun1_perf = []
prev_weights = []
for run in range(3):
    fit, results, prev_weights = run_depth1(width1, learningrates2, None, "finalFirst")
    results['run']=run
    rerun1_perf.append(results)
    print rerun1_perf









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_27 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
time_distributed_14 (TimeDis (None, None, 1)           136       
=================================================================
Total params: 74,656
Trainable params: 74,656
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.0755 - mse: 936.5521 - val_loss: 0.5915 - val_mse: 515.1248
Epoch 2/1000
0s - loss: 0.5472 - mse: 476.5555 - val_loss: 0.2828 - val_mse: 246.3094
Epoch 3/1000
0s - loss: 0.2685 - mse: 233.7912 - val_loss: 0.3783 - val_mse: 329.4532
Epoch 4/1000
0s - loss: 0.3844 - mse: 334.7589 - val_loss: 0.2879 - val_mse: 250.6860
Epoch 5/1000
0s - loss: 0.2867 - mse: 249.6930 - val_loss: 0.2523 - val_mse: 219.7462
Epoch 6/1000
0s - loss: 0.2356 - mse: 205.1404 - val_loss: 0.2714 - val_mse: 236.3164
Epoch 7/1000
0s - loss: 0.2522 - mse: 219.6522 - val_loss: 0.2393 - val_mse: 208.3498
Epoch 8/1000
0s - loss: 0.2240 - mse: 195.0594 - val_loss: 0.1980 - val_mse: 172.4024
Epoch 9/1000
0s - loss: 0.1878 - mse: 163.5803 - val_loss: 0.1625 - val_mse: 141.4877
Epoch 10/1000
0s - loss: 0.1545 - mse: 134.5228 - val_loss: 0.1349 - val_mse: 117.5050
Epoch 11/1000
0s - loss: 0.1229 - mse: 107.0380 - val_loss: 0.1424 - val_mse: 124.0016
Epoch 12/1000
0s - loss: 0.1231 - mse: 107.1724 - val_loss: 0.1719 - val_mse: 149.6581
Epoch 13/1000
0s - loss: 0.1462 - mse: 127.3299 - val_loss: 0.1710 - val_mse: 148.9068
Epoch 14/1000
0s - loss: 0.1452 - mse: 126.4489 - val_loss: 0.1406 - val_mse: 122.4820
Epoch 15/1000
0s - loss: 0.1196 - mse: 104.1503 - val_loss: 0.1171 - val_mse: 101.9558
Epoch 16/1000
0s - loss: 0.1017 - mse: 88.5271 - val_loss: 0.1094 - val_mse: 95.2968
Epoch 17/1000
0s - loss: 0.0979 - mse: 85.2883 - val_loss: 0.1085 - val_mse: 94.4832
Epoch 18/1000
0s - loss: 0.0985 - mse: 85.7488 - val_loss: 0.1105 - val_mse: 96.2572
Epoch 19/1000
0s - loss: 0.1007 - mse: 87.7029 - val_loss: 0.1122 - val_mse: 97.6723
Epoch 20/1000
0s - loss: 0.1024 - mse: 89.2119 - val_loss: 0.1097 - val_mse: 95.5449
Epoch 21/1000
0s - loss: 0.1005 - mse: 87.4855 - val_loss: 0.1027 - val_mse: 89.4775
Epoch 22/1000
0s - loss: 0.0943 - mse: 82.1541 - val_loss: 0.0944 - val_mse: 82.2374
Epoch 23/1000
0s - loss: 0.0870 - mse: 75.7913 - val_loss: 0.0891 - val_mse: 77.5620
Epoch 24/1000
0s - loss: 0.0824 - mse: 71.7273 - val_loss: 0.0869 - val_mse: 75.6431
Epoch 25/1000
0s - loss: 0.0801 - mse: 69.7621 - val_loss: 0.0862 - val_mse: 75.0418
Epoch 26/1000
0s - loss: 0.0790 - mse: 68.8112 - val_loss: 0.0859 - val_mse: 74.8476
Epoch 27/1000
0s - loss: 0.0786 - mse: 68.4910 - val_loss: 0.0837 - val_mse: 72.8735
Epoch 28/1000
0s - loss: 0.0762 - mse: 66.3229 - val_loss: 0.0810 - val_mse: 70.4972
Epoch 29/1000
0s - loss: 0.0730 - mse: 63.5621 - val_loss: 0.0800 - val_mse: 69.6663
Epoch 30/1000
0s - loss: 0.0719 - mse: 62.6554 - val_loss: 0.0767 - val_mse: 66.7712
Epoch 31/1000
0s - loss: 0.0692 - mse: 60.2265 - val_loss: 0.0713 - val_mse: 62.1120
Epoch 32/1000
0s - loss: 0.0647 - mse: 56.3674 - val_loss: 0.0682 - val_mse: 59.3648
Epoch 33/1000
0s - loss: 0.0625 - mse: 54.4328 - val_loss: 0.0664 - val_mse: 57.7867
Epoch 34/1000
0s - loss: 0.0613 - mse: 53.3900 - val_loss: 0.0647 - val_mse: 56.3189
Epoch 35/1000
0s - loss: 0.0601 - mse: 52.3502 - val_loss: 0.0627 - val_mse: 54.6082
Epoch 36/1000
0s - loss: 0.0587 - mse: 51.1278 - val_loss: 0.0596 - val_mse: 51.9412
Epoch 37/1000
0s - loss: 0.0561 - mse: 48.8224 - val_loss: 0.0569 - val_mse: 49.5414
Epoch 38/1000
0s - loss: 0.0535 - mse: 46.5661 - val_loss: 0.0554 - val_mse: 48.2148
Epoch 39/1000
0s - loss: 0.0520 - mse: 45.2669 - val_loss: 0.0536 - val_mse: 46.6728
Epoch 40/1000
0s - loss: 0.0502 - mse: 43.7211 - val_loss: 0.0509 - val_mse: 44.2943
Epoch 41/1000
0s - loss: 0.0476 - mse: 41.4511 - val_loss: 0.0486 - val_mse: 42.3396
Epoch 42/1000
0s - loss: 0.0458 - mse: 39.8639 - val_loss: 0.0475 - val_mse: 41.3870
Epoch 43/1000
0s - loss: 0.0452 - mse: 39.3891 - val_loss: 0.0460 - val_mse: 40.0435
Epoch 44/1000
0s - loss: 0.0441 - mse: 38.3612 - val_loss: 0.0435 - val_mse: 37.9192
Epoch 45/1000
0s - loss: 0.0417 - mse: 36.3197 - val_loss: 0.0420 - val_mse: 36.5863
Epoch 46/1000
0s - loss: 0.0400 - mse: 34.8724 - val_loss: 0.0418 - val_mse: 36.4011
Epoch 47/1000
0s - loss: 0.0397 - mse: 34.5565 - val_loss: 0.0412 - val_mse: 35.8912
Epoch 48/1000
0s - loss: 0.0391 - mse: 34.0238 - val_loss: 0.0402 - val_mse: 35.0156
Epoch 49/1000
0s - loss: 0.0381 - mse: 33.2013 - val_loss: 0.0395 - val_mse: 34.3810
Epoch 50/1000
0s - loss: 0.0375 - mse: 32.6307 - val_loss: 0.0389 - val_mse: 33.8948
Epoch 51/1000
0s - loss: 0.0370 - mse: 32.1796 - val_loss: 0.0382 - val_mse: 33.2506
Epoch 52/1000
0s - loss: 0.0361 - mse: 31.4693 - val_loss: 0.0376 - val_mse: 32.7825
Epoch 53/1000
0s - loss: 0.0353 - mse: 30.7447 - val_loss: 0.0377 - val_mse: 32.8389
Epoch 54/1000
0s - loss: 0.0350 - mse: 30.4483 - val_loss: 0.0371 - val_mse: 32.3258
Epoch 55/1000
0s - loss: 0.0343 - mse: 29.8336 - val_loss: 0.0358 - val_mse: 31.1862
Epoch 56/1000
0s - loss: 0.0332 - mse: 28.8899 - val_loss: 0.0351 - val_mse: 30.5619
Epoch 57/1000
0s - loss: 0.0327 - mse: 28.4334 - val_loss: 0.0345 - val_mse: 30.0643
Epoch 58/1000
0s - loss: 0.0321 - mse: 27.9849 - val_loss: 0.0336 - val_mse: 29.2900
Epoch 59/1000
0s - loss: 0.0312 - mse: 27.1642 - val_loss: 0.0331 - val_mse: 28.8344
Epoch 60/1000
0s - loss: 0.0305 - mse: 26.5646 - val_loss: 0.0328 - val_mse: 28.5614
Epoch 61/1000
0s - loss: 0.0301 - mse: 26.2276 - val_loss: 0.0320 - val_mse: 27.8878
Epoch 62/1000
0s - loss: 0.0296 - mse: 25.7434 - val_loss: 0.0313 - val_mse: 27.2831
Epoch 63/1000
0s - loss: 0.0292 - mse: 25.4148 - val_loss: 0.0310 - val_mse: 26.9600
Epoch 64/1000
0s - loss: 0.0290 - mse: 25.2272 - val_loss: 0.0305 - val_mse: 26.5909
Epoch 65/1000
0s - loss: 0.0285 - mse: 24.7908 - val_loss: 0.0303 - val_mse: 26.3785
Epoch 66/1000
0s - loss: 0.0280 - mse: 24.4052 - val_loss: 0.0301 - val_mse: 26.2463
Epoch 67/1000
0s - loss: 0.0277 - mse: 24.1473 - val_loss: 0.0297 - val_mse: 25.8315
Epoch 68/1000
0s - loss: 0.0273 - mse: 23.7593 - val_loss: 0.0291 - val_mse: 25.3323
Epoch 69/1000
0s - loss: 0.0268 - mse: 23.3617 - val_loss: 0.0287 - val_mse: 25.0300
Epoch 70/1000
0s - loss: 0.0265 - mse: 23.1026 - val_loss: 0.0285 - val_mse: 24.7917
Epoch 71/1000
0s - loss: 0.0262 - mse: 22.7860 - val_loss: 0.0283 - val_mse: 24.6829
Epoch 72/1000
0s - loss: 0.0258 - mse: 22.4891 - val_loss: 0.0282 - val_mse: 24.5996
Epoch 73/1000
0s - loss: 0.0256 - mse: 22.2500 - val_loss: 0.0279 - val_mse: 24.2610
Epoch 74/1000
0s - loss: 0.0252 - mse: 21.9279 - val_loss: 0.0274 - val_mse: 23.8565
Epoch 75/1000
0s - loss: 0.0249 - mse: 21.6542 - val_loss: 0.0270 - val_mse: 23.5156
Epoch 76/1000
0s - loss: 0.0246 - mse: 21.4091 - val_loss: 0.0266 - val_mse: 23.1524
Epoch 77/1000
0s - loss: 0.0242 - mse: 21.0824 - val_loss: 0.0262 - val_mse: 22.8315
Epoch 78/1000
0s - loss: 0.0239 - mse: 20.7887 - val_loss: 0.0259 - val_mse: 22.5149
Epoch 79/1000
0s - loss: 0.0236 - mse: 20.5326 - val_loss: 0.0254 - val_mse: 22.1097
Epoch 80/1000
0s - loss: 0.0233 - mse: 20.2489 - val_loss: 0.0250 - val_mse: 21.7540
Epoch 81/1000
0s - loss: 0.0230 - mse: 20.0084 - val_loss: 0.0247 - val_mse: 21.4824
Epoch 82/1000
0s - loss: 0.0227 - mse: 19.7605 - val_loss: 0.0244 - val_mse: 21.2420
Epoch 83/1000
0s - loss: 0.0224 - mse: 19.4986 - val_loss: 0.0241 - val_mse: 21.0133
Epoch 84/1000
0s - loss: 0.0221 - mse: 19.2516 - val_loss: 0.0238 - val_mse: 20.7247
Epoch 85/1000
0s - loss: 0.0218 - mse: 18.9480 - val_loss: 0.0235 - val_mse: 20.4552
Epoch 86/1000
0s - loss: 0.0214 - mse: 18.6740 - val_loss: 0.0233 - val_mse: 20.2521
Epoch 87/1000
0s - loss: 0.0211 - mse: 18.4115 - val_loss: 0.0230 - val_mse: 20.0680
Epoch 88/1000
0s - loss: 0.0208 - mse: 18.1302 - val_loss: 0.0228 - val_mse: 19.8751
Epoch 89/1000
0s - loss: 0.0205 - mse: 17.8740 - val_loss: 0.0226 - val_mse: 19.6466
Epoch 90/1000
0s - loss: 0.0202 - mse: 17.5965 - val_loss: 0.0222 - val_mse: 19.3455
Epoch 91/1000
0s - loss: 0.0199 - mse: 17.3221 - val_loss: 0.0219 - val_mse: 19.1021
Epoch 92/1000
0s - loss: 0.0196 - mse: 17.0465 - val_loss: 0.0216 - val_mse: 18.8010
Epoch 93/1000
0s - loss: 0.0193 - mse: 16.7921 - val_loss: 0.0214 - val_mse: 18.6591
Epoch 94/1000
0s - loss: 0.0191 - mse: 16.5944 - val_loss: 0.0211 - val_mse: 18.4037
Epoch 95/1000
0s - loss: 0.0190 - mse: 16.5289 - val_loss: 0.0220 - val_mse: 19.1415
Epoch 96/1000
0s - loss: 0.0196 - mse: 17.0724 - val_loss: 0.0221 - val_mse: 19.2399
Epoch 97/1000
0s - loss: 0.0203 - mse: 17.6889 - val_loss: 0.0240 - val_mse: 20.9335
Epoch 98/1000
0s - loss: 0.0217 - mse: 18.9051 - val_loss: 0.0201 - val_mse: 17.4755
Epoch 99/1000
0s - loss: 0.0180 - mse: 15.6356 - val_loss: 0.0208 - val_mse: 18.1092
Epoch 100/1000
0s - loss: 0.0190 - mse: 16.5550 - val_loss: 0.0225 - val_mse: 19.6241
Epoch 101/1000
0s - loss: 0.0202 - mse: 17.6075 - val_loss: 0.0193 - val_mse: 16.8153
Epoch 102/1000
0s - loss: 0.0170 - mse: 14.8176 - val_loss: 0.0216 - val_mse: 18.8425
Epoch 103/1000
0s - loss: 0.0200 - mse: 17.4191 - val_loss: 0.0200 - val_mse: 17.4561
Epoch 104/1000
0s - loss: 0.0176 - mse: 15.2867 - val_loss: 0.0204 - val_mse: 17.8020
Epoch 105/1000
0s - loss: 0.0179 - mse: 15.6192 - val_loss: 0.0190 - val_mse: 16.5824
Epoch 106/1000
0s - loss: 0.0170 - mse: 14.7925 - val_loss: 0.0188 - val_mse: 16.4072
Epoch 107/1000
0s - loss: 0.0168 - mse: 14.6425 - val_loss: 0.0190 - val_mse: 16.5330
Epoch 108/1000
0s - loss: 0.0165 - mse: 14.4022 - val_loss: 0.0188 - val_mse: 16.3431
Epoch 109/1000
0s - loss: 0.0163 - mse: 14.1520 - val_loss: 0.0181 - val_mse: 15.7449
Epoch 110/1000
0s - loss: 0.0158 - mse: 13.7300 - val_loss: 0.0178 - val_mse: 15.5225
Epoch 111/1000
0s - loss: 0.0156 - mse: 13.5946 - val_loss: 0.0176 - val_mse: 15.3428
Epoch 112/1000
0s - loss: 0.0152 - mse: 13.2342 - val_loss: 0.0176 - val_mse: 15.3398
Epoch 113/1000
0s - loss: 0.0151 - mse: 13.1438 - val_loss: 0.0170 - val_mse: 14.8045
Epoch 114/1000
0s - loss: 0.0145 - mse: 12.6436 - val_loss: 0.0169 - val_mse: 14.7005
Epoch 115/1000
0s - loss: 0.0145 - mse: 12.6650 - val_loss: 0.0165 - val_mse: 14.3349
Epoch 116/1000
0s - loss: 0.0140 - mse: 12.2095 - val_loss: 0.0165 - val_mse: 14.3388
Epoch 117/1000
0s - loss: 0.0140 - mse: 12.1919 - val_loss: 0.0158 - val_mse: 13.7958
Epoch 118/1000
0s - loss: 0.0135 - mse: 11.7589 - val_loss: 0.0157 - val_mse: 13.6964
Epoch 119/1000
0s - loss: 0.0134 - mse: 11.6835 - val_loss: 0.0156 - val_mse: 13.5479
Epoch 120/1000
0s - loss: 0.0131 - mse: 11.4145 - val_loss: 0.0152 - val_mse: 13.2577
Epoch 121/1000
0s - loss: 0.0129 - mse: 11.2115 - val_loss: 0.0148 - val_mse: 12.9134
Epoch 122/1000
0s - loss: 0.0127 - mse: 11.0842 - val_loss: 0.0146 - val_mse: 12.7331
Epoch 123/1000
0s - loss: 0.0123 - mse: 10.7386 - val_loss: 0.0146 - val_mse: 12.7398
Epoch 124/1000
0s - loss: 0.0123 - mse: 10.7253 - val_loss: 0.0140 - val_mse: 12.1608
Epoch 125/1000
0s - loss: 0.0119 - mse: 10.3789 - val_loss: 0.0139 - val_mse: 12.1329
Epoch 126/1000
0s - loss: 0.0119 - mse: 10.3357 - val_loss: 0.0141 - val_mse: 12.2450
Epoch 127/1000
0s - loss: 0.0117 - mse: 10.1463 - val_loss: 0.0134 - val_mse: 11.6825
Epoch 128/1000
0s - loss: 0.0114 - mse: 9.9469 - val_loss: 0.0131 - val_mse: 11.4330
Epoch 129/1000
0s - loss: 0.0113 - mse: 9.8214 - val_loss: 0.0136 - val_mse: 11.8570
Epoch 130/1000
0s - loss: 0.0112 - mse: 9.7570 - val_loss: 0.0128 - val_mse: 11.1691
Epoch 131/1000
0s - loss: 0.0108 - mse: 9.4231 - val_loss: 0.0126 - val_mse: 11.0148
Epoch 132/1000
0s - loss: 0.0108 - mse: 9.4251 - val_loss: 0.0129 - val_mse: 11.2566
Epoch 133/1000
0s - loss: 0.0107 - mse: 9.2870 - val_loss: 0.0124 - val_mse: 10.7943
Epoch 134/1000
0s - loss: 0.0104 - mse: 9.0680 - val_loss: 0.0122 - val_mse: 10.6171
Epoch 135/1000
0s - loss: 0.0103 - mse: 8.9472 - val_loss: 0.0123 - val_mse: 10.6702
Epoch 136/1000
0s - loss: 0.0101 - mse: 8.8321 - val_loss: 0.0120 - val_mse: 10.4206
Epoch 137/1000
0s - loss: 0.0101 - mse: 8.7622 - val_loss: 0.0119 - val_mse: 10.3598
Epoch 138/1000
0s - loss: 0.0098 - mse: 8.5569 - val_loss: 0.0116 - val_mse: 10.0917
Epoch 139/1000
0s - loss: 0.0096 - mse: 8.4014 - val_loss: 0.0115 - val_mse: 10.0466
Epoch 140/1000
0s - loss: 0.0095 - mse: 8.3050 - val_loss: 0.0115 - val_mse: 10.0131
Epoch 141/1000
0s - loss: 0.0094 - mse: 8.1916 - val_loss: 0.0112 - val_mse: 9.7456
Epoch 142/1000
0s - loss: 0.0094 - mse: 8.1425 - val_loss: 0.0115 - val_mse: 9.9930
Epoch 143/1000
0s - loss: 0.0093 - mse: 8.0605 - val_loss: 0.0110 - val_mse: 9.5392
Epoch 144/1000
0s - loss: 0.0091 - mse: 7.9635 - val_loss: 0.0113 - val_mse: 9.8686
Epoch 145/1000
0s - loss: 0.0091 - mse: 7.9676 - val_loss: 0.0110 - val_mse: 9.5430
Epoch 146/1000
0s - loss: 0.0092 - mse: 7.9944 - val_loss: 0.0120 - val_mse: 10.4584
Epoch 147/1000
0s - loss: 0.0096 - mse: 8.3399 - val_loss: 0.0119 - val_mse: 10.3690
Epoch 148/1000

Epoch 00147: reducing learning rate to 0.00699999984354.
1s - loss: 0.0104 - mse: 9.0342 - val_loss: 0.0147 - val_mse: 12.7904
Epoch 149/1000
0s - loss: 0.0119 - mse: 10.3878 - val_loss: 0.0105 - val_mse: 9.1692
Epoch 150/1000
0s - loss: 0.0087 - mse: 7.5578 - val_loss: 0.0118 - val_mse: 10.2933
Epoch 151/1000
0s - loss: 0.0104 - mse: 9.0477 - val_loss: 0.0120 - val_mse: 10.4125
Epoch 152/1000
0s - loss: 0.0096 - mse: 8.3369 - val_loss: 0.0117 - val_mse: 10.1804
Epoch 153/1000
0s - loss: 0.0092 - mse: 8.0345 - val_loss: 0.0112 - val_mse: 9.7848
Epoch 154/1000
0s - loss: 0.0096 - mse: 8.3179 - val_loss: 0.0105 - val_mse: 9.1223
Epoch 155/1000
0s - loss: 0.0085 - mse: 7.3934 - val_loss: 0.0117 - val_mse: 10.2152
Epoch 156/1000
0s - loss: 0.0092 - mse: 8.0245 - val_loss: 0.0108 - val_mse: 9.3628
Epoch 157/1000
0s - loss: 0.0083 - mse: 7.2470 - val_loss: 0.0108 - val_mse: 9.3849
Epoch 158/1000
0s - loss: 0.0089 - mse: 7.7663 - val_loss: 0.0102 - val_mse: 8.8696
Epoch 159/1000
0s - loss: 0.0081 - mse: 7.0377 - val_loss: 0.0110 - val_mse: 9.6086
Epoch 160/1000
0s - loss: 0.0086 - mse: 7.4594 - val_loss: 0.0104 - val_mse: 9.0293
Epoch 161/1000
0s - loss: 0.0080 - mse: 6.9595 - val_loss: 0.0102 - val_mse: 8.9126
Epoch 162/1000
0s - loss: 0.0083 - mse: 7.2135 - val_loss: 0.0099 - val_mse: 8.6020
Epoch 163/1000
0s - loss: 0.0078 - mse: 6.8064 - val_loss: 0.0104 - val_mse: 9.0408
Epoch 164/1000
0s - loss: 0.0080 - mse: 6.9880 - val_loss: 0.0100 - val_mse: 8.7134
Epoch 165/1000
0s - loss: 0.0077 - mse: 6.7055 - val_loss: 0.0098 - val_mse: 8.5277
Epoch 166/1000
0s - loss: 0.0078 - mse: 6.7915 - val_loss: 0.0096 - val_mse: 8.3508
Epoch 167/1000
0s - loss: 0.0075 - mse: 6.5551 - val_loss: 0.0100 - val_mse: 8.6716
Epoch 168/1000
0s - loss: 0.0076 - mse: 6.6373 - val_loss: 0.0097 - val_mse: 8.4093
Epoch 169/1000
0s - loss: 0.0074 - mse: 6.4195 - val_loss: 0.0095 - val_mse: 8.2887
Epoch 170/1000
0s - loss: 0.0075 - mse: 6.4994 - val_loss: 0.0093 - val_mse: 8.1304
Epoch 171/1000
0s - loss: 0.0072 - mse: 6.2592 - val_loss: 0.0096 - val_mse: 8.3943
Epoch 172/1000
0s - loss: 0.0073 - mse: 6.3720 - val_loss: 0.0092 - val_mse: 8.0434
Epoch 173/1000
0s - loss: 0.0070 - mse: 6.1247 - val_loss: 0.0092 - val_mse: 8.0326
Epoch 174/1000
0s - loss: 0.0072 - mse: 6.2401 - val_loss: 0.0091 - val_mse: 7.9400
Epoch 175/1000
0s - loss: 0.0069 - mse: 6.0086 - val_loss: 0.0092 - val_mse: 8.0507
Epoch 176/1000
0s - loss: 0.0070 - mse: 6.0742 - val_loss: 0.0090 - val_mse: 7.8158
Epoch 177/1000
0s - loss: 0.0068 - mse: 5.9288 - val_loss: 0.0090 - val_mse: 7.8060
Epoch 178/1000
0s - loss: 0.0068 - mse: 5.9044 - val_loss: 0.0090 - val_mse: 7.8770
Epoch 179/1000
0s - loss: 0.0067 - mse: 5.8578 - val_loss: 0.0088 - val_mse: 7.6825
Epoch 180/1000
0s - loss: 0.0066 - mse: 5.7474 - val_loss: 0.0088 - val_mse: 7.6673
Epoch 181/1000
0s - loss: 0.0066 - mse: 5.7469 - val_loss: 0.0088 - val_mse: 7.6600
Epoch 182/1000
0s - loss: 0.0065 - mse: 5.6393 - val_loss: 0.0087 - val_mse: 7.5393
Epoch 183/1000
0s - loss: 0.0064 - mse: 5.5991 - val_loss: 0.0085 - val_mse: 7.4356
Epoch 184/1000
0s - loss: 0.0064 - mse: 5.5434 - val_loss: 0.0086 - val_mse: 7.4762
Epoch 185/1000
0s - loss: 0.0063 - mse: 5.4666 - val_loss: 0.0085 - val_mse: 7.4024
Epoch 186/1000
0s - loss: 0.0062 - mse: 5.4171 - val_loss: 0.0083 - val_mse: 7.2560
Epoch 187/1000
0s - loss: 0.0062 - mse: 5.3663 - val_loss: 0.0084 - val_mse: 7.2975
Epoch 188/1000
0s - loss: 0.0061 - mse: 5.2937 - val_loss: 0.0083 - val_mse: 7.2670
Epoch 189/1000
0s - loss: 0.0060 - mse: 5.2393 - val_loss: 0.0082 - val_mse: 7.1176
Epoch 190/1000
0s - loss: 0.0060 - mse: 5.2067 - val_loss: 0.0082 - val_mse: 7.1454
Epoch 191/1000
0s - loss: 0.0059 - mse: 5.1199 - val_loss: 0.0082 - val_mse: 7.1066
Epoch 192/1000
0s - loss: 0.0058 - mse: 5.0607 - val_loss: 0.0080 - val_mse: 6.9723
Epoch 193/1000
0s - loss: 0.0058 - mse: 5.0360 - val_loss: 0.0081 - val_mse: 7.0190
Epoch 194/1000
0s - loss: 0.0057 - mse: 4.9602 - val_loss: 0.0080 - val_mse: 6.9307
Epoch 195/1000
0s - loss: 0.0056 - mse: 4.8778 - val_loss: 0.0079 - val_mse: 6.8556
Epoch 196/1000
0s - loss: 0.0056 - mse: 4.8416 - val_loss: 0.0079 - val_mse: 6.9222
Epoch 197/1000
0s - loss: 0.0055 - mse: 4.8016 - val_loss: 0.0078 - val_mse: 6.7730
Epoch 198/1000
0s - loss: 0.0054 - mse: 4.7253 - val_loss: 0.0078 - val_mse: 6.7688
Epoch 199/1000
0s - loss: 0.0053 - mse: 4.6511 - val_loss: 0.0077 - val_mse: 6.7100
Epoch 200/1000
0s - loss: 0.0053 - mse: 4.5975 - val_loss: 0.0076 - val_mse: 6.6389
Epoch 201/1000
0s - loss: 0.0052 - mse: 4.5478 - val_loss: 0.0077 - val_mse: 6.7222
Epoch 202/1000
0s - loss: 0.0052 - mse: 4.4983 - val_loss: 0.0075 - val_mse: 6.5593
Epoch 203/1000
0s - loss: 0.0051 - mse: 4.4582 - val_loss: 0.0077 - val_mse: 6.7429
Epoch 204/1000
0s - loss: 0.0051 - mse: 4.4392 - val_loss: 0.0076 - val_mse: 6.6107
Epoch 205/1000
0s - loss: 0.0052 - mse: 4.4865 - val_loss: 0.0082 - val_mse: 7.1186
Epoch 206/1000
0s - loss: 0.0054 - mse: 4.6896 - val_loss: 0.0084 - val_mse: 7.3211
Epoch 207/1000

Epoch 00206: reducing learning rate to 0.00489999982528.
0s - loss: 0.0060 - mse: 5.2586 - val_loss: 0.0104 - val_mse: 9.0501
Epoch 208/1000
0s - loss: 0.0074 - mse: 6.4182 - val_loss: 0.0078 - val_mse: 6.8254
Epoch 209/1000
0s - loss: 0.0053 - mse: 4.6477 - val_loss: 0.0081 - val_mse: 7.0296
Epoch 210/1000
0s - loss: 0.0057 - mse: 4.9531 - val_loss: 0.0088 - val_mse: 7.6577
Epoch 211/1000
0s - loss: 0.0059 - mse: 5.1807 - val_loss: 0.0079 - val_mse: 6.8771
Epoch 212/1000
0s - loss: 0.0050 - mse: 4.3332 - val_loss: 0.0083 - val_mse: 7.2661
Epoch 213/1000
0s - loss: 0.0059 - mse: 5.1415 - val_loss: 0.0074 - val_mse: 6.4797
Epoch 214/1000
0s - loss: 0.0049 - mse: 4.2437 - val_loss: 0.0083 - val_mse: 7.1909
Epoch 215/1000
0s - loss: 0.0054 - mse: 4.6955 - val_loss: 0.0076 - val_mse: 6.6422
Epoch 216/1000
0s - loss: 0.0049 - mse: 4.2301 - val_loss: 0.0075 - val_mse: 6.4973
Epoch 217/1000
0s - loss: 0.0050 - mse: 4.3697 - val_loss: 0.0074 - val_mse: 6.4369
Epoch 218/1000
0s - loss: 0.0049 - mse: 4.2653 - val_loss: 0.0076 - val_mse: 6.5901
Epoch 219/1000
0s - loss: 0.0047 - mse: 4.1241 - val_loss: 0.0076 - val_mse: 6.6264
Epoch 220/1000
0s - loss: 0.0048 - mse: 4.2121 - val_loss: 0.0070 - val_mse: 6.1384
Epoch 221/1000
0s - loss: 0.0045 - mse: 3.9262 - val_loss: 0.0073 - val_mse: 6.3305
Epoch 222/1000
0s - loss: 0.0047 - mse: 4.1255 - val_loss: 0.0073 - val_mse: 6.3219
Epoch 223/1000
0s - loss: 0.0044 - mse: 3.8241 - val_loss: 0.0075 - val_mse: 6.5332
Epoch 224/1000
0s - loss: 0.0046 - mse: 4.0070 - val_loss: 0.0070 - val_mse: 6.1301
Epoch 225/1000

Epoch 00224: reducing learning rate to 0.00343000004068.
0s - loss: 0.0043 - mse: 3.7577 - val_loss: 0.0071 - val_mse: 6.2026
Epoch 226/1000
0s - loss: 0.0044 - mse: 3.8573 - val_loss: 0.0070 - val_mse: 6.1203
Epoch 227/1000
0s - loss: 0.0042 - mse: 3.6294 - val_loss: 0.0074 - val_mse: 6.4269
Epoch 228/1000
0s - loss: 0.0044 - mse: 3.8012 - val_loss: 0.0072 - val_mse: 6.2345
Epoch 229/1000
0s - loss: 0.0041 - mse: 3.6024 - val_loss: 0.0071 - val_mse: 6.1792
Epoch 230/1000
0s - loss: 0.0042 - mse: 3.6658 - val_loss: 0.0070 - val_mse: 6.0731
Epoch 231/1000
0s - loss: 0.0041 - mse: 3.6047 - val_loss: 0.0070 - val_mse: 6.1107
Epoch 232/1000
0s - loss: 0.0041 - mse: 3.5637 - val_loss: 0.0072 - val_mse: 6.2490
Epoch 233/1000
0s - loss: 0.0041 - mse: 3.5588 - val_loss: 0.0072 - val_mse: 6.2291
Epoch 234/1000
0s - loss: 0.0040 - mse: 3.5132 - val_loss: 0.0070 - val_mse: 6.1031
Epoch 235/1000
0s - loss: 0.0040 - mse: 3.4885 - val_loss: 0.0069 - val_mse: 6.0056
Epoch 236/1000
0s - loss: 0.0040 - mse: 3.4701 - val_loss: 0.0069 - val_mse: 6.0146
Epoch 237/1000
0s - loss: 0.0039 - mse: 3.4328 - val_loss: 0.0070 - val_mse: 6.1172
Epoch 238/1000
0s - loss: 0.0039 - mse: 3.4089 - val_loss: 0.0070 - val_mse: 6.1246
Epoch 239/1000
0s - loss: 0.0039 - mse: 3.3939 - val_loss: 0.0069 - val_mse: 5.9891
Epoch 240/1000

Epoch 00239: reducing learning rate to 0.00240100002848.
0s - loss: 0.0038 - mse: 3.3431 - val_loss: 0.0068 - val_mse: 5.9290
Epoch 241/1000
0s - loss: 0.0038 - mse: 3.3517 - val_loss: 0.0068 - val_mse: 5.9105
Epoch 242/1000
0s - loss: 0.0038 - mse: 3.2967 - val_loss: 0.0069 - val_mse: 5.9925
Epoch 243/1000
0s - loss: 0.0038 - mse: 3.2973 - val_loss: 0.0069 - val_mse: 6.0268
Epoch 244/1000
0s - loss: 0.0038 - mse: 3.2847 - val_loss: 0.0069 - val_mse: 5.9699
Epoch 245/1000
0s - loss: 0.0037 - mse: 3.2481 - val_loss: 0.0068 - val_mse: 5.9146
Epoch 246/1000
0s - loss: 0.0037 - mse: 3.2490 - val_loss: 0.0067 - val_mse: 5.8577
Epoch 247/1000
0s - loss: 0.0037 - mse: 3.2225 - val_loss: 0.0067 - val_mse: 5.8692
Epoch 248/1000
0s - loss: 0.0037 - mse: 3.2060 - val_loss: 0.0068 - val_mse: 5.9175
Epoch 249/1000
0s - loss: 0.0037 - mse: 3.1927 - val_loss: 0.0068 - val_mse: 5.9344
Epoch 250/1000
0s - loss: 0.0036 - mse: 3.1700 - val_loss: 0.0068 - val_mse: 5.9164
Epoch 251/1000
0s - loss: 0.0036 - mse: 3.1599 - val_loss: 0.0067 - val_mse: 5.8582
Epoch 252/1000
0s - loss: 0.0036 - mse: 3.1365 - val_loss: 0.0067 - val_mse: 5.8245
Epoch 253/1000
0s - loss: 0.0036 - mse: 3.1243 - val_loss: 0.0067 - val_mse: 5.8261
Epoch 254/1000

Epoch 00253: reducing learning rate to 0.00168070008513.
0s - loss: 0.0036 - mse: 3.1072 - val_loss: 0.0067 - val_mse: 5.8478
Epoch 255/1000
0s - loss: 0.0035 - mse: 3.0872 - val_loss: 0.0067 - val_mse: 5.8570
Epoch 256/1000
0s - loss: 0.0035 - mse: 3.0791 - val_loss: 0.0067 - val_mse: 5.8412
Epoch 257/1000
0s - loss: 0.0035 - mse: 3.0645 - val_loss: 0.0067 - val_mse: 5.8141
Epoch 258/1000
0s - loss: 0.0035 - mse: 3.0528 - val_loss: 0.0067 - val_mse: 5.7920
Epoch 259/1000
0s - loss: 0.0035 - mse: 3.0446 - val_loss: 0.0066 - val_mse: 5.7793
Epoch 260/1000
0s - loss: 0.0035 - mse: 3.0311 - val_loss: 0.0066 - val_mse: 5.7838
Epoch 261/1000
0s - loss: 0.0035 - mse: 3.0191 - val_loss: 0.0067 - val_mse: 5.7970
Epoch 262/1000
0s - loss: 0.0035 - mse: 3.0102 - val_loss: 0.0067 - val_mse: 5.7992
Epoch 263/1000
0s - loss: 0.0034 - mse: 2.9974 - val_loss: 0.0066 - val_mse: 5.7886
Epoch 264/1000
0s - loss: 0.0034 - mse: 2.9858 - val_loss: 0.0066 - val_mse: 5.7710
Epoch 265/1000
0s - loss: 0.0034 - mse: 2.9764 - val_loss: 0.0066 - val_mse: 5.7514
Epoch 266/1000
0s - loss: 0.0034 - mse: 2.9641 - val_loss: 0.0066 - val_mse: 5.7414
Epoch 267/1000
0s - loss: 0.0034 - mse: 2.9526 - val_loss: 0.0066 - val_mse: 5.7431
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.00117649007589.
0s - loss: 0.0034 - mse: 2.9427 - val_loss: 0.0066 - val_mse: 5.7456
Epoch 269/1000
0s - loss: 0.0034 - mse: 2.9308 - val_loss: 0.0066 - val_mse: 5.7428
Epoch 270/1000
0s - loss: 0.0034 - mse: 2.9225 - val_loss: 0.0066 - val_mse: 5.7350
Epoch 271/1000
0s - loss: 0.0033 - mse: 2.9152 - val_loss: 0.0066 - val_mse: 5.7234
Epoch 272/1000
0s - loss: 0.0033 - mse: 2.9077 - val_loss: 0.0066 - val_mse: 5.7115
Epoch 273/1000
0s - loss: 0.0033 - mse: 2.8995 - val_loss: 0.0065 - val_mse: 5.7027
Epoch 274/1000
0s - loss: 0.0033 - mse: 2.8918 - val_loss: 0.0065 - val_mse: 5.6977
Epoch 275/1000
0s - loss: 0.0033 - mse: 2.8842 - val_loss: 0.0065 - val_mse: 5.6947
Epoch 276/1000
0s - loss: 0.0033 - mse: 2.8764 - val_loss: 0.0065 - val_mse: 5.6926
Epoch 277/1000
0s - loss: 0.0033 - mse: 2.8686 - val_loss: 0.0065 - val_mse: 5.6899
Epoch 278/1000
0s - loss: 0.0033 - mse: 2.8610 - val_loss: 0.0065 - val_mse: 5.6856
Epoch 279/1000
0s - loss: 0.0033 - mse: 2.8532 - val_loss: 0.0065 - val_mse: 5.6799
Epoch 280/1000
0s - loss: 0.0033 - mse: 2.8455 - val_loss: 0.0065 - val_mse: 5.6735
Epoch 281/1000
0s - loss: 0.0033 - mse: 2.8380 - val_loss: 0.0065 - val_mse: 5.6670
Epoch 282/1000

Epoch 00281: reducing learning rate to 0.000823543069419.
0s - loss: 0.0033 - mse: 2.8303 - val_loss: 0.0065 - val_mse: 5.6604
Epoch 283/1000
0s - loss: 0.0032 - mse: 2.8224 - val_loss: 0.0065 - val_mse: 5.6558
Epoch 284/1000
0s - loss: 0.0032 - mse: 2.8170 - val_loss: 0.0065 - val_mse: 5.6514
Epoch 285/1000
0s - loss: 0.0032 - mse: 2.8118 - val_loss: 0.0065 - val_mse: 5.6482
Epoch 286/1000
0s - loss: 0.0032 - mse: 2.8064 - val_loss: 0.0065 - val_mse: 5.6461
Epoch 287/1000
0s - loss: 0.0032 - mse: 2.8009 - val_loss: 0.0065 - val_mse: 5.6441
Epoch 288/1000
0s - loss: 0.0032 - mse: 2.7956 - val_loss: 0.0065 - val_mse: 5.6405
Epoch 289/1000
0s - loss: 0.0032 - mse: 2.7903 - val_loss: 0.0065 - val_mse: 5.6354
Epoch 290/1000
0s - loss: 0.0032 - mse: 2.7850 - val_loss: 0.0065 - val_mse: 5.6299
Epoch 291/1000
0s - loss: 0.0032 - mse: 2.7796 - val_loss: 0.0065 - val_mse: 5.6260
Epoch 292/1000
0s - loss: 0.0032 - mse: 2.7742 - val_loss: 0.0065 - val_mse: 5.6230
Epoch 293/1000
0s - loss: 0.0032 - mse: 2.7689 - val_loss: 0.0065 - val_mse: 5.6197
Epoch 294/1000
0s - loss: 0.0032 - mse: 2.7637 - val_loss: 0.0064 - val_mse: 5.6158
Epoch 295/1000
0s - loss: 0.0032 - mse: 2.7583 - val_loss: 0.0064 - val_mse: 5.6114
Epoch 296/1000

Epoch 00295: reducing learning rate to 0.000576480140444.
0s - loss: 0.0032 - mse: 2.7530 - val_loss: 0.0064 - val_mse: 5.6072
Epoch 297/1000
0s - loss: 0.0032 - mse: 2.7477 - val_loss: 0.0064 - val_mse: 5.6045
Epoch 298/1000
0s - loss: 0.0032 - mse: 2.7440 - val_loss: 0.0064 - val_mse: 5.6020
Epoch 299/1000
0s - loss: 0.0031 - mse: 2.7403 - val_loss: 0.0064 - val_mse: 5.6001
Epoch 300/1000
0s - loss: 0.0031 - mse: 2.7366 - val_loss: 0.0064 - val_mse: 5.5978
Epoch 301/1000
0s - loss: 0.0031 - mse: 2.7329 - val_loss: 0.0064 - val_mse: 5.5952
Epoch 302/1000
0s - loss: 0.0031 - mse: 2.7291 - val_loss: 0.0064 - val_mse: 5.5921
Epoch 303/1000
0s - loss: 0.0031 - mse: 2.7254 - val_loss: 0.0064 - val_mse: 5.5895
Epoch 304/1000
0s - loss: 0.0031 - mse: 2.7217 - val_loss: 0.0064 - val_mse: 5.5873
Epoch 305/1000
0s - loss: 0.0031 - mse: 2.7179 - val_loss: 0.0064 - val_mse: 5.5852
Epoch 306/1000
0s - loss: 0.0031 - mse: 2.7141 - val_loss: 0.0064 - val_mse: 5.5834
Epoch 307/1000
0s - loss: 0.0031 - mse: 2.7104 - val_loss: 0.0064 - val_mse: 5.5816
Epoch 308/1000
0s - loss: 0.0031 - mse: 2.7067 - val_loss: 0.0064 - val_mse: 5.5792
Epoch 309/1000
0s - loss: 0.0031 - mse: 2.7030 - val_loss: 0.0064 - val_mse: 5.5764
Epoch 310/1000

Epoch 00309: reducing learning rate to 0.000403536082013.
0s - loss: 0.0031 - mse: 2.6993 - val_loss: 0.0064 - val_mse: 5.5736
Epoch 311/1000
0s - loss: 0.0031 - mse: 2.6956 - val_loss: 0.0064 - val_mse: 5.5717
Epoch 312/1000
0s - loss: 0.0031 - mse: 2.6930 - val_loss: 0.0064 - val_mse: 5.5699
Epoch 313/1000
0s - loss: 0.0031 - mse: 2.6904 - val_loss: 0.0064 - val_mse: 5.5681
Epoch 314/1000
0s - loss: 0.0031 - mse: 2.6879 - val_loss: 0.0064 - val_mse: 5.5660
Epoch 315/1000
0s - loss: 0.0031 - mse: 2.6853 - val_loss: 0.0064 - val_mse: 5.5639
Epoch 316/1000
0s - loss: 0.0031 - mse: 2.6827 - val_loss: 0.0064 - val_mse: 5.5619
Epoch 317/1000
0s - loss: 0.0031 - mse: 2.6802 - val_loss: 0.0064 - val_mse: 5.5604
Epoch 318/1000
0s - loss: 0.0031 - mse: 2.6776 - val_loss: 0.0064 - val_mse: 5.5593
Epoch 319/1000
0s - loss: 0.0031 - mse: 2.6750 - val_loss: 0.0064 - val_mse: 5.5580
Epoch 320/1000
0s - loss: 0.0031 - mse: 2.6725 - val_loss: 0.0064 - val_mse: 5.5563
Epoch 321/1000
0s - loss: 0.0031 - mse: 2.6699 - val_loss: 0.0064 - val_mse: 5.5547
Epoch 322/1000
0s - loss: 0.0031 - mse: 2.6674 - val_loss: 0.0064 - val_mse: 5.5531
Epoch 323/1000
0s - loss: 0.0031 - mse: 2.6648 - val_loss: 0.0064 - val_mse: 5.5514
Epoch 324/1000

Epoch 00323: reducing learning rate to 0.000282475253334.
0s - loss: 0.0031 - mse: 2.6623 - val_loss: 0.0064 - val_mse: 5.5492
Epoch 325/1000
0s - loss: 0.0031 - mse: 2.6597 - val_loss: 0.0064 - val_mse: 5.5478
Epoch 326/1000
0s - loss: 0.0031 - mse: 2.6579 - val_loss: 0.0064 - val_mse: 5.5465
Epoch 327/1000
0s - loss: 0.0031 - mse: 2.6561 - val_loss: 0.0064 - val_mse: 5.5454
Epoch 328/1000
0s - loss: 0.0030 - mse: 2.6543 - val_loss: 0.0064 - val_mse: 5.5444
Epoch 329/1000
0s - loss: 0.0030 - mse: 2.6525 - val_loss: 0.0064 - val_mse: 5.5433
Epoch 330/1000
0s - loss: 0.0030 - mse: 2.6507 - val_loss: 0.0064 - val_mse: 5.5422
Epoch 331/1000
0s - loss: 0.0030 - mse: 2.6490 - val_loss: 0.0064 - val_mse: 5.5410
Epoch 332/1000
0s - loss: 0.0030 - mse: 2.6472 - val_loss: 0.0064 - val_mse: 5.5397
Epoch 333/1000
0s - loss: 0.0030 - mse: 2.6454 - val_loss: 0.0064 - val_mse: 5.5385
Epoch 334/1000
0s - loss: 0.0030 - mse: 2.6436 - val_loss: 0.0064 - val_mse: 5.5374
Epoch 335/1000
0s - loss: 0.0030 - mse: 2.6419 - val_loss: 0.0064 - val_mse: 5.5362
Epoch 336/1000
0s - loss: 0.0030 - mse: 2.6401 - val_loss: 0.0064 - val_mse: 5.5350
Epoch 337/1000
0s - loss: 0.0030 - mse: 2.6383 - val_loss: 0.0064 - val_mse: 5.5338
Epoch 338/1000

Epoch 00337: reducing learning rate to 0.000197732681409.
0s - loss: 0.0030 - mse: 2.6366 - val_loss: 0.0064 - val_mse: 5.5328
Epoch 339/1000
0s - loss: 0.0030 - mse: 2.6348 - val_loss: 0.0064 - val_mse: 5.5320
Epoch 340/1000
0s - loss: 0.0030 - mse: 2.6336 - val_loss: 0.0064 - val_mse: 5.5312
Epoch 341/1000
0s - loss: 0.0030 - mse: 2.6324 - val_loss: 0.0064 - val_mse: 5.5303
Epoch 342/1000
0s - loss: 0.0030 - mse: 2.6312 - val_loss: 0.0063 - val_mse: 5.5295
Epoch 343/1000
0s - loss: 0.0030 - mse: 2.6299 - val_loss: 0.0063 - val_mse: 5.5287
Epoch 344/1000
0s - loss: 0.0030 - mse: 2.6287 - val_loss: 0.0063 - val_mse: 5.5278
Epoch 345/1000
0s - loss: 0.0030 - mse: 2.6275 - val_loss: 0.0063 - val_mse: 5.5269
Epoch 346/1000
0s - loss: 0.0030 - mse: 2.6263 - val_loss: 0.0063 - val_mse: 5.5258
Epoch 347/1000
0s - loss: 0.0030 - mse: 2.6251 - val_loss: 0.0063 - val_mse: 5.5248
Epoch 348/1000
0s - loss: 0.0030 - mse: 2.6238 - val_loss: 0.0063 - val_mse: 5.5240
Epoch 349/1000
0s - loss: 0.0030 - mse: 2.6226 - val_loss: 0.0063 - val_mse: 5.5234
Epoch 350/1000
0s - loss: 0.0030 - mse: 2.6214 - val_loss: 0.0063 - val_mse: 5.5227
Epoch 351/1000
0s - loss: 0.0030 - mse: 2.6202 - val_loss: 0.0063 - val_mse: 5.5218
Epoch 352/1000

Epoch 00351: reducing learning rate to 0.000138412872911.
0s - loss: 0.0030 - mse: 2.6190 - val_loss: 0.0063 - val_mse: 5.5209
Epoch 353/1000
0s - loss: 0.0030 - mse: 2.6178 - val_loss: 0.0063 - val_mse: 5.5203
Epoch 354/1000
0s - loss: 0.0030 - mse: 2.6169 - val_loss: 0.0063 - val_mse: 5.5197
Epoch 355/1000
0s - loss: 0.0030 - mse: 2.6161 - val_loss: 0.0063 - val_mse: 5.5192
Epoch 356/1000
0s - loss: 0.0030 - mse: 2.6152 - val_loss: 0.0063 - val_mse: 5.5186
Epoch 357/1000
0s - loss: 0.0030 - mse: 2.6144 - val_loss: 0.0063 - val_mse: 5.5179
Epoch 358/1000
0s - loss: 0.0030 - mse: 2.6135 - val_loss: 0.0063 - val_mse: 5.5173
Epoch 359/1000
0s - loss: 0.0030 - mse: 2.6127 - val_loss: 0.0063 - val_mse: 5.5166
Epoch 360/1000
0s - loss: 0.0030 - mse: 2.6118 - val_loss: 0.0063 - val_mse: 5.5160
Epoch 361/1000
0s - loss: 0.0030 - mse: 2.6110 - val_loss: 0.0063 - val_mse: 5.5155
Epoch 362/1000
0s - loss: 0.0030 - mse: 2.6102 - val_loss: 0.0063 - val_mse: 5.5150
Epoch 363/1000
0s - loss: 0.0030 - mse: 2.6093 - val_loss: 0.0063 - val_mse: 5.5146
Epoch 364/1000
0s - loss: 0.0030 - mse: 2.6085 - val_loss: 0.0063 - val_mse: 5.5142
Epoch 365/1000
0s - loss: 0.0030 - mse: 2.6076 - val_loss: 0.0063 - val_mse: 5.5137
Epoch 366/1000

Epoch 00365: reducing learning rate to 9.68890090007e-05.
0s - loss: 0.0030 - mse: 2.6068 - val_loss: 0.0063 - val_mse: 5.5131
Epoch 367/1000
0s - loss: 0.0030 - mse: 2.6060 - val_loss: 0.0063 - val_mse: 5.5126
Epoch 368/1000
0s - loss: 0.0030 - mse: 2.6054 - val_loss: 0.0063 - val_mse: 5.5121
Epoch 369/1000
0s - loss: 0.0030 - mse: 2.6048 - val_loss: 0.0063 - val_mse: 5.5115
Epoch 370/1000
0s - loss: 0.0030 - mse: 2.6042 - val_loss: 0.0063 - val_mse: 5.5110
Epoch 371/1000
0s - loss: 0.0030 - mse: 2.6036 - val_loss: 0.0063 - val_mse: 5.5107
Epoch 372/1000
0s - loss: 0.0030 - mse: 2.6030 - val_loss: 0.0063 - val_mse: 5.5104
Epoch 373/1000
0s - loss: 0.0030 - mse: 2.6024 - val_loss: 0.0063 - val_mse: 5.5101
Epoch 374/1000
0s - loss: 0.0030 - mse: 2.6019 - val_loss: 0.0063 - val_mse: 5.5098
Epoch 375/1000
0s - loss: 0.0030 - mse: 2.6013 - val_loss: 0.0063 - val_mse: 5.5093
Epoch 376/1000
0s - loss: 0.0030 - mse: 2.6007 - val_loss: 0.0063 - val_mse: 5.5088
[{'loss': 0.0029864141251891851, 'run': 0, 'dropout': 0.0, 'val_mse': 5.508796215057373, 'label': '', 'width': 135, 'mse': 2.6006863117218018, 'val_loss': 0.0063258488662540913}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_28 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
time_distributed_15 (TimeDis (None, None, 1)           136       
=================================================================
Total params: 74,656
Trainable params: 74,656
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.8552 - mse: 744.7449 - val_loss: 0.5704 - val_mse: 496.7196
Epoch 2/1000
0s - loss: 0.5258 - mse: 457.9178 - val_loss: 0.3682 - val_mse: 320.6707
Epoch 3/1000
0s - loss: 0.3456 - mse: 300.9524 - val_loss: 0.3177 - val_mse: 276.6601
Epoch 4/1000
0s - loss: 0.3083 - mse: 268.4990 - val_loss: 0.2351 - val_mse: 204.7233
Epoch 5/1000
0s - loss: 0.2262 - mse: 196.9733 - val_loss: 0.2971 - val_mse: 258.7527
Epoch 6/1000
0s - loss: 0.2809 - mse: 244.6419 - val_loss: 0.1750 - val_mse: 152.4134
Epoch 7/1000
0s - loss: 0.1628 - mse: 141.7626 - val_loss: 0.1768 - val_mse: 153.9745
Epoch 8/1000
0s - loss: 0.1647 - mse: 143.4472 - val_loss: 0.1682 - val_mse: 146.5147
Epoch 9/1000
0s - loss: 0.1598 - mse: 139.1431 - val_loss: 0.1466 - val_mse: 127.6349
Epoch 10/1000
0s - loss: 0.1383 - mse: 120.4576 - val_loss: 0.1342 - val_mse: 116.8553
Epoch 11/1000
0s - loss: 0.1219 - mse: 106.1221 - val_loss: 0.1435 - val_mse: 124.9460
Epoch 12/1000
0s - loss: 0.1257 - mse: 109.4503 - val_loss: 0.1435 - val_mse: 124.9850
Epoch 13/1000
0s - loss: 0.1220 - mse: 106.2501 - val_loss: 0.1316 - val_mse: 114.5865
Epoch 14/1000
0s - loss: 0.1108 - mse: 96.4923 - val_loss: 0.1214 - val_mse: 105.7237
Epoch 15/1000
0s - loss: 0.1042 - mse: 90.7804 - val_loss: 0.1128 - val_mse: 98.1986
Epoch 16/1000
0s - loss: 0.0991 - mse: 86.3323 - val_loss: 0.1053 - val_mse: 91.6971
Epoch 17/1000
0s - loss: 0.0939 - mse: 81.7801 - val_loss: 0.0997 - val_mse: 86.8344
Epoch 18/1000
0s - loss: 0.0896 - mse: 77.9994 - val_loss: 0.0946 - val_mse: 82.3773
Epoch 19/1000
0s - loss: 0.0854 - mse: 74.4064 - val_loss: 0.0902 - val_mse: 78.5862
Epoch 20/1000
0s - loss: 0.0824 - mse: 71.7666 - val_loss: 0.0877 - val_mse: 76.3637
Epoch 21/1000
0s - loss: 0.0813 - mse: 70.8386 - val_loss: 0.0812 - val_mse: 70.6949
Epoch 22/1000
0s - loss: 0.0750 - mse: 65.3459 - val_loss: 0.0768 - val_mse: 66.8642
Epoch 23/1000
0s - loss: 0.0709 - mse: 61.7038 - val_loss: 0.0745 - val_mse: 64.8514
Epoch 24/1000
0s - loss: 0.0685 - mse: 59.6691 - val_loss: 0.0720 - val_mse: 62.6999
Epoch 25/1000
0s - loss: 0.0655 - mse: 57.0288 - val_loss: 0.0703 - val_mse: 61.2634
Epoch 26/1000
0s - loss: 0.0633 - mse: 55.1319 - val_loss: 0.0696 - val_mse: 60.6472
Epoch 27/1000
0s - loss: 0.0627 - mse: 54.6004 - val_loss: 0.0672 - val_mse: 58.4941
Epoch 28/1000
0s - loss: 0.0612 - mse: 53.2761 - val_loss: 0.0620 - val_mse: 53.9557
Epoch 29/1000
0s - loss: 0.0574 - mse: 49.9678 - val_loss: 0.0580 - val_mse: 50.5220
Epoch 30/1000
0s - loss: 0.0544 - mse: 47.3597 - val_loss: 0.0580 - val_mse: 50.5482
Epoch 31/1000
0s - loss: 0.0545 - mse: 47.4768 - val_loss: 0.0562 - val_mse: 48.9250
Epoch 32/1000
0s - loss: 0.0534 - mse: 46.4794 - val_loss: 0.0536 - val_mse: 46.7100
Epoch 33/1000
0s - loss: 0.0511 - mse: 44.4909 - val_loss: 0.0509 - val_mse: 44.3013
Epoch 34/1000
0s - loss: 0.0478 - mse: 41.6198 - val_loss: 0.0507 - val_mse: 44.1201
Epoch 35/1000
0s - loss: 0.0469 - mse: 40.8334 - val_loss: 0.0495 - val_mse: 43.1266
Epoch 36/1000
0s - loss: 0.0452 - mse: 39.3952 - val_loss: 0.0489 - val_mse: 42.5974
Epoch 37/1000
0s - loss: 0.0445 - mse: 38.7779 - val_loss: 0.0485 - val_mse: 42.2621
Epoch 38/1000
0s - loss: 0.0442 - mse: 38.5093 - val_loss: 0.0475 - val_mse: 41.3328
Epoch 39/1000
0s - loss: 0.0432 - mse: 37.5826 - val_loss: 0.0462 - val_mse: 40.2453
Epoch 40/1000
0s - loss: 0.0421 - mse: 36.6252 - val_loss: 0.0448 - val_mse: 39.0564
Epoch 41/1000
0s - loss: 0.0412 - mse: 35.8552 - val_loss: 0.0435 - val_mse: 37.8587
Epoch 42/1000
0s - loss: 0.0403 - mse: 35.0960 - val_loss: 0.0426 - val_mse: 37.0603
Epoch 43/1000
0s - loss: 0.0396 - mse: 34.4997 - val_loss: 0.0416 - val_mse: 36.2591
Epoch 44/1000
0s - loss: 0.0386 - mse: 33.6485 - val_loss: 0.0408 - val_mse: 35.5430
Epoch 45/1000
0s - loss: 0.0375 - mse: 32.6749 - val_loss: 0.0404 - val_mse: 35.1995
Epoch 46/1000
0s - loss: 0.0368 - mse: 32.0358 - val_loss: 0.0397 - val_mse: 34.5429
Epoch 47/1000
0s - loss: 0.0359 - mse: 31.2865 - val_loss: 0.0390 - val_mse: 33.9815
Epoch 48/1000
0s - loss: 0.0354 - mse: 30.7950 - val_loss: 0.0387 - val_mse: 33.6580
Epoch 49/1000
0s - loss: 0.0351 - mse: 30.5768 - val_loss: 0.0378 - val_mse: 32.8888
Epoch 50/1000
0s - loss: 0.0344 - mse: 29.9294 - val_loss: 0.0369 - val_mse: 32.1338
Epoch 51/1000
0s - loss: 0.0336 - mse: 29.2910 - val_loss: 0.0360 - val_mse: 31.3753
Epoch 52/1000
0s - loss: 0.0330 - mse: 28.7540 - val_loss: 0.0347 - val_mse: 30.2506
Epoch 53/1000
0s - loss: 0.0322 - mse: 28.0121 - val_loss: 0.0338 - val_mse: 29.4167
Epoch 54/1000
0s - loss: 0.0316 - mse: 27.5214 - val_loss: 0.0331 - val_mse: 28.8564
Epoch 55/1000
0s - loss: 0.0312 - mse: 27.1399 - val_loss: 0.0325 - val_mse: 28.3132
Epoch 56/1000
0s - loss: 0.0306 - mse: 26.6176 - val_loss: 0.0321 - val_mse: 27.9842
Epoch 57/1000
0s - loss: 0.0301 - mse: 26.2211 - val_loss: 0.0316 - val_mse: 27.5113
Epoch 58/1000
0s - loss: 0.0296 - mse: 25.7536 - val_loss: 0.0309 - val_mse: 26.9300
Epoch 59/1000
0s - loss: 0.0290 - mse: 25.2461 - val_loss: 0.0305 - val_mse: 26.6005
Epoch 60/1000
0s - loss: 0.0286 - mse: 24.9309 - val_loss: 0.0302 - val_mse: 26.3325
Epoch 61/1000
0s - loss: 0.0282 - mse: 24.5951 - val_loss: 0.0300 - val_mse: 26.1629
Epoch 62/1000
0s - loss: 0.0279 - mse: 24.2946 - val_loss: 0.0298 - val_mse: 25.9531
Epoch 63/1000
0s - loss: 0.0276 - mse: 23.9940 - val_loss: 0.0293 - val_mse: 25.5232
Epoch 64/1000
0s - loss: 0.0271 - mse: 23.6117 - val_loss: 0.0289 - val_mse: 25.1405
Epoch 65/1000
0s - loss: 0.0268 - mse: 23.2989 - val_loss: 0.0285 - val_mse: 24.8417
Epoch 66/1000
0s - loss: 0.0264 - mse: 23.0156 - val_loss: 0.0283 - val_mse: 24.6824
Epoch 67/1000
0s - loss: 0.0262 - mse: 22.8336 - val_loss: 0.0281 - val_mse: 24.4329
Epoch 68/1000
0s - loss: 0.0259 - mse: 22.5500 - val_loss: 0.0278 - val_mse: 24.2264
Epoch 69/1000
0s - loss: 0.0256 - mse: 22.3111 - val_loss: 0.0276 - val_mse: 24.0234
Epoch 70/1000
0s - loss: 0.0253 - mse: 22.0303 - val_loss: 0.0275 - val_mse: 23.9047
Epoch 71/1000
0s - loss: 0.0250 - mse: 21.7992 - val_loss: 0.0273 - val_mse: 23.7625
Epoch 72/1000
0s - loss: 0.0247 - mse: 21.5399 - val_loss: 0.0272 - val_mse: 23.6517
Epoch 73/1000
0s - loss: 0.0245 - mse: 21.3147 - val_loss: 0.0269 - val_mse: 23.4531
Epoch 74/1000
0s - loss: 0.0242 - mse: 21.0624 - val_loss: 0.0266 - val_mse: 23.1564
Epoch 75/1000
0s - loss: 0.0239 - mse: 20.8217 - val_loss: 0.0261 - val_mse: 22.7284
Epoch 76/1000
0s - loss: 0.0236 - mse: 20.5224 - val_loss: 0.0257 - val_mse: 22.3863
Epoch 77/1000
0s - loss: 0.0233 - mse: 20.2944 - val_loss: 0.0254 - val_mse: 22.0829
Epoch 78/1000
0s - loss: 0.0230 - mse: 20.0209 - val_loss: 0.0251 - val_mse: 21.8504
Epoch 79/1000
0s - loss: 0.0227 - mse: 19.7691 - val_loss: 0.0248 - val_mse: 21.6153
Epoch 80/1000
0s - loss: 0.0224 - mse: 19.5110 - val_loss: 0.0245 - val_mse: 21.3649
Epoch 81/1000
0s - loss: 0.0221 - mse: 19.2309 - val_loss: 0.0243 - val_mse: 21.1631
Epoch 82/1000
0s - loss: 0.0218 - mse: 18.9845 - val_loss: 0.0241 - val_mse: 20.9544
Epoch 83/1000
0s - loss: 0.0215 - mse: 18.7332 - val_loss: 0.0237 - val_mse: 20.6586
Epoch 84/1000
0s - loss: 0.0212 - mse: 18.4430 - val_loss: 0.0234 - val_mse: 20.3353
Epoch 85/1000
0s - loss: 0.0209 - mse: 18.1736 - val_loss: 0.0230 - val_mse: 20.0195
Epoch 86/1000
0s - loss: 0.0206 - mse: 17.9114 - val_loss: 0.0226 - val_mse: 19.7096
Epoch 87/1000
0s - loss: 0.0202 - mse: 17.6209 - val_loss: 0.0223 - val_mse: 19.3811
Epoch 88/1000
0s - loss: 0.0199 - mse: 17.3165 - val_loss: 0.0219 - val_mse: 19.0971
Epoch 89/1000
0s - loss: 0.0195 - mse: 17.0105 - val_loss: 0.0216 - val_mse: 18.8378
Epoch 90/1000
0s - loss: 0.0192 - mse: 16.6941 - val_loss: 0.0214 - val_mse: 18.6108
Epoch 91/1000
0s - loss: 0.0188 - mse: 16.3990 - val_loss: 0.0211 - val_mse: 18.4143
Epoch 92/1000
0s - loss: 0.0186 - mse: 16.2165 - val_loss: 0.0219 - val_mse: 19.0953
Epoch 93/1000
0s - loss: 0.0194 - mse: 16.8865 - val_loss: 0.0280 - val_mse: 24.4132
Epoch 94/1000
0s - loss: 0.0264 - mse: 23.0050 - val_loss: 0.0278 - val_mse: 24.2372
Epoch 95/1000
0s - loss: 0.0256 - mse: 22.3024 - val_loss: 0.0218 - val_mse: 18.9757
Epoch 96/1000

Epoch 00095: reducing learning rate to 0.00699999984354.
1s - loss: 0.0199 - mse: 17.2891 - val_loss: 0.0225 - val_mse: 19.6328
Epoch 97/1000
0s - loss: 0.0207 - mse: 17.9931 - val_loss: 0.0209 - val_mse: 18.2137
Epoch 98/1000
0s - loss: 0.0182 - mse: 15.8590 - val_loss: 0.0232 - val_mse: 20.2169
Epoch 99/1000
0s - loss: 0.0202 - mse: 17.5536 - val_loss: 0.0209 - val_mse: 18.1983
Epoch 100/1000
0s - loss: 0.0180 - mse: 15.6501 - val_loss: 0.0213 - val_mse: 18.5522
Epoch 101/1000
0s - loss: 0.0185 - mse: 16.1161 - val_loss: 0.0214 - val_mse: 18.6384
Epoch 102/1000
0s - loss: 0.0186 - mse: 16.1690 - val_loss: 0.0205 - val_mse: 17.8686
Epoch 103/1000
0s - loss: 0.0172 - mse: 15.0134 - val_loss: 0.0213 - val_mse: 18.5876
Epoch 104/1000
0s - loss: 0.0180 - mse: 15.6745 - val_loss: 0.0199 - val_mse: 17.3215
Epoch 105/1000
0s - loss: 0.0171 - mse: 14.8491 - val_loss: 0.0195 - val_mse: 17.0130
Epoch 106/1000
0s - loss: 0.0170 - mse: 14.8013 - val_loss: 0.0195 - val_mse: 16.9592
Epoch 107/1000
0s - loss: 0.0170 - mse: 14.8453 - val_loss: 0.0191 - val_mse: 16.6405
Epoch 108/1000
0s - loss: 0.0163 - mse: 14.2063 - val_loss: 0.0197 - val_mse: 17.1215
Epoch 109/1000
0s - loss: 0.0165 - mse: 14.3333 - val_loss: 0.0189 - val_mse: 16.4753
Epoch 110/1000
0s - loss: 0.0160 - mse: 13.8984 - val_loss: 0.0186 - val_mse: 16.1708
Epoch 111/1000
0s - loss: 0.0157 - mse: 13.7121 - val_loss: 0.0186 - val_mse: 16.2190
Epoch 112/1000
0s - loss: 0.0157 - mse: 13.7081 - val_loss: 0.0185 - val_mse: 16.1128
Epoch 113/1000
0s - loss: 0.0153 - mse: 13.3224 - val_loss: 0.0188 - val_mse: 16.3475
Epoch 114/1000
0s - loss: 0.0153 - mse: 13.3572 - val_loss: 0.0180 - val_mse: 15.6775
Epoch 115/1000
0s - loss: 0.0150 - mse: 13.0755 - val_loss: 0.0174 - val_mse: 15.1755
Epoch 116/1000
0s - loss: 0.0148 - mse: 12.9039 - val_loss: 0.0173 - val_mse: 15.1040
Epoch 117/1000
0s - loss: 0.0148 - mse: 12.8588 - val_loss: 0.0172 - val_mse: 14.9524
Epoch 118/1000
0s - loss: 0.0144 - mse: 12.5377 - val_loss: 0.0173 - val_mse: 15.0706
Epoch 119/1000
0s - loss: 0.0144 - mse: 12.5260 - val_loss: 0.0168 - val_mse: 14.6194
Epoch 120/1000
0s - loss: 0.0141 - mse: 12.2525 - val_loss: 0.0166 - val_mse: 14.4452
Epoch 121/1000
0s - loss: 0.0140 - mse: 12.1997 - val_loss: 0.0165 - val_mse: 14.3732
Epoch 122/1000
0s - loss: 0.0138 - mse: 12.0521 - val_loss: 0.0165 - val_mse: 14.3973
Epoch 123/1000
0s - loss: 0.0137 - mse: 11.9066 - val_loss: 0.0165 - val_mse: 14.3313
Epoch 124/1000
0s - loss: 0.0136 - mse: 11.8042 - val_loss: 0.0159 - val_mse: 13.8784
Epoch 125/1000
0s - loss: 0.0133 - mse: 11.5754 - val_loss: 0.0157 - val_mse: 13.7084
Epoch 126/1000
0s - loss: 0.0133 - mse: 11.5474 - val_loss: 0.0156 - val_mse: 13.5877
Epoch 127/1000
0s - loss: 0.0130 - mse: 11.3214 - val_loss: 0.0158 - val_mse: 13.7462
Epoch 128/1000
0s - loss: 0.0130 - mse: 11.2804 - val_loss: 0.0156 - val_mse: 13.5904
Epoch 129/1000
0s - loss: 0.0127 - mse: 11.0814 - val_loss: 0.0154 - val_mse: 13.4014
Epoch 130/1000
0s - loss: 0.0126 - mse: 10.9840 - val_loss: 0.0152 - val_mse: 13.2661
Epoch 131/1000
0s - loss: 0.0125 - mse: 10.8526 - val_loss: 0.0152 - val_mse: 13.2204
Epoch 132/1000
0s - loss: 0.0123 - mse: 10.7013 - val_loss: 0.0151 - val_mse: 13.1707
Epoch 133/1000
0s - loss: 0.0122 - mse: 10.6047 - val_loss: 0.0148 - val_mse: 12.9013
Epoch 134/1000
0s - loss: 0.0120 - mse: 10.4471 - val_loss: 0.0146 - val_mse: 12.6946
Epoch 135/1000
0s - loss: 0.0119 - mse: 10.3715 - val_loss: 0.0144 - val_mse: 12.5694
Epoch 136/1000
0s - loss: 0.0117 - mse: 10.2128 - val_loss: 0.0145 - val_mse: 12.5882
Epoch 137/1000
0s - loss: 0.0116 - mse: 10.1097 - val_loss: 0.0143 - val_mse: 12.4689
Epoch 138/1000
0s - loss: 0.0114 - mse: 9.9673 - val_loss: 0.0141 - val_mse: 12.2729
Epoch 139/1000
0s - loss: 0.0113 - mse: 9.8553 - val_loss: 0.0139 - val_mse: 12.1480
Epoch 140/1000
0s - loss: 0.0112 - mse: 9.7420 - val_loss: 0.0139 - val_mse: 12.0657
Epoch 141/1000
0s - loss: 0.0110 - mse: 9.5971 - val_loss: 0.0138 - val_mse: 11.9757
Epoch 142/1000
0s - loss: 0.0109 - mse: 9.5039 - val_loss: 0.0135 - val_mse: 11.7443
Epoch 143/1000
0s - loss: 0.0108 - mse: 9.3635 - val_loss: 0.0133 - val_mse: 11.5857
Epoch 144/1000
0s - loss: 0.0106 - mse: 9.2597 - val_loss: 0.0132 - val_mse: 11.5293
Epoch 145/1000
0s - loss: 0.0105 - mse: 9.1435 - val_loss: 0.0132 - val_mse: 11.4797
Epoch 146/1000
0s - loss: 0.0104 - mse: 9.0286 - val_loss: 0.0130 - val_mse: 11.3081
Epoch 147/1000
0s - loss: 0.0102 - mse: 8.9127 - val_loss: 0.0128 - val_mse: 11.1535
Epoch 148/1000
0s - loss: 0.0101 - mse: 8.8211 - val_loss: 0.0127 - val_mse: 11.0772
Epoch 149/1000
0s - loss: 0.0100 - mse: 8.7004 - val_loss: 0.0126 - val_mse: 10.9899
Epoch 150/1000
0s - loss: 0.0099 - mse: 8.5937 - val_loss: 0.0124 - val_mse: 10.8330
Epoch 151/1000
0s - loss: 0.0097 - mse: 8.4815 - val_loss: 0.0123 - val_mse: 10.7506
Epoch 152/1000
0s - loss: 0.0096 - mse: 8.3901 - val_loss: 0.0123 - val_mse: 10.6937
Epoch 153/1000
0s - loss: 0.0095 - mse: 8.2783 - val_loss: 0.0122 - val_mse: 10.6275
Epoch 154/1000
0s - loss: 0.0094 - mse: 8.1743 - val_loss: 0.0120 - val_mse: 10.4716
Epoch 155/1000
0s - loss: 0.0093 - mse: 8.0624 - val_loss: 0.0119 - val_mse: 10.3952
Epoch 156/1000
0s - loss: 0.0091 - mse: 7.9507 - val_loss: 0.0119 - val_mse: 10.3403
Epoch 157/1000
0s - loss: 0.0090 - mse: 7.8432 - val_loss: 0.0117 - val_mse: 10.2316
Epoch 158/1000
0s - loss: 0.0089 - mse: 7.7331 - val_loss: 0.0116 - val_mse: 10.1042
Epoch 159/1000
0s - loss: 0.0088 - mse: 7.6342 - val_loss: 0.0116 - val_mse: 10.0933
Epoch 160/1000
0s - loss: 0.0087 - mse: 7.5487 - val_loss: 0.0115 - val_mse: 10.0330
Epoch 161/1000
0s - loss: 0.0086 - mse: 7.5230 - val_loss: 0.0119 - val_mse: 10.3269
Epoch 162/1000
0s - loss: 0.0089 - mse: 7.7609 - val_loss: 0.0127 - val_mse: 11.1004
Epoch 163/1000

Epoch 00162: reducing learning rate to 0.00489999982528.
0s - loss: 0.0101 - mse: 8.7737 - val_loss: 0.0171 - val_mse: 14.8808
Epoch 164/1000
0s - loss: 0.0144 - mse: 12.5670 - val_loss: 0.0114 - val_mse: 9.9684
Epoch 165/1000
0s - loss: 0.0088 - mse: 7.6755 - val_loss: 0.0150 - val_mse: 13.0710
Epoch 166/1000
0s - loss: 0.0130 - mse: 11.2914 - val_loss: 0.0129 - val_mse: 11.1952
Epoch 167/1000
0s - loss: 0.0101 - mse: 8.7705 - val_loss: 0.0146 - val_mse: 12.6946
Epoch 168/1000
0s - loss: 0.0117 - mse: 10.2203 - val_loss: 0.0115 - val_mse: 9.9839
Epoch 169/1000
0s - loss: 0.0085 - mse: 7.4352 - val_loss: 0.0141 - val_mse: 12.2879
Epoch 170/1000
0s - loss: 0.0117 - mse: 10.1477 - val_loss: 0.0111 - val_mse: 9.6541
Epoch 171/1000
0s - loss: 0.0082 - mse: 7.1524 - val_loss: 0.0134 - val_mse: 11.6929
Epoch 172/1000
0s - loss: 0.0105 - mse: 9.1532 - val_loss: 0.0120 - val_mse: 10.4123
Epoch 173/1000
0s - loss: 0.0089 - mse: 7.7802 - val_loss: 0.0117 - val_mse: 10.1991
Epoch 174/1000
0s - loss: 0.0088 - mse: 7.6835 - val_loss: 0.0122 - val_mse: 10.6318
Epoch 175/1000
0s - loss: 0.0096 - mse: 8.3376 - val_loss: 0.0110 - val_mse: 9.5826
Epoch 176/1000
0s - loss: 0.0081 - mse: 7.0718 - val_loss: 0.0121 - val_mse: 10.5729
Epoch 177/1000

Epoch 00176: reducing learning rate to 0.00343000004068.
0s - loss: 0.0090 - mse: 7.8789 - val_loss: 0.0118 - val_mse: 10.3088
Epoch 178/1000
0s - loss: 0.0086 - mse: 7.4499 - val_loss: 0.0112 - val_mse: 9.7503
Epoch 179/1000
0s - loss: 0.0080 - mse: 6.9389 - val_loss: 0.0112 - val_mse: 9.7650
Epoch 180/1000
0s - loss: 0.0083 - mse: 7.2173 - val_loss: 0.0111 - val_mse: 9.6671
Epoch 181/1000
0s - loss: 0.0083 - mse: 7.2497 - val_loss: 0.0107 - val_mse: 9.3480
Epoch 182/1000
0s - loss: 0.0078 - mse: 6.8096 - val_loss: 0.0110 - val_mse: 9.6107
Epoch 183/1000
0s - loss: 0.0079 - mse: 6.8864 - val_loss: 0.0114 - val_mse: 9.8852
Epoch 184/1000
0s - loss: 0.0080 - mse: 7.0066 - val_loss: 0.0110 - val_mse: 9.5967
Epoch 185/1000
0s - loss: 0.0077 - mse: 6.7008 - val_loss: 0.0107 - val_mse: 9.3432
Epoch 186/1000
0s - loss: 0.0076 - mse: 6.6178 - val_loss: 0.0107 - val_mse: 9.3511
Epoch 187/1000
0s - loss: 0.0078 - mse: 6.7716 - val_loss: 0.0106 - val_mse: 9.1930
Epoch 188/1000
0s - loss: 0.0075 - mse: 6.5607 - val_loss: 0.0106 - val_mse: 9.2439
Epoch 189/1000
0s - loss: 0.0074 - mse: 6.4433 - val_loss: 0.0109 - val_mse: 9.5033
Epoch 190/1000
0s - loss: 0.0075 - mse: 6.5688 - val_loss: 0.0107 - val_mse: 9.3527
Epoch 191/1000
0s - loss: 0.0074 - mse: 6.4403 - val_loss: 0.0104 - val_mse: 9.0541
Epoch 192/1000
0s - loss: 0.0072 - mse: 6.3004 - val_loss: 0.0104 - val_mse: 9.0458
Epoch 193/1000
0s - loss: 0.0074 - mse: 6.4044 - val_loss: 0.0104 - val_mse: 9.0146
Epoch 194/1000
0s - loss: 0.0072 - mse: 6.3054 - val_loss: 0.0104 - val_mse: 9.0849
Epoch 195/1000
0s - loss: 0.0071 - mse: 6.1848 - val_loss: 0.0107 - val_mse: 9.2938
Epoch 196/1000

Epoch 00195: reducing learning rate to 0.00240100002848.
0s - loss: 0.0072 - mse: 6.2624 - val_loss: 0.0105 - val_mse: 9.1538
Epoch 197/1000
0s - loss: 0.0071 - mse: 6.1712 - val_loss: 0.0103 - val_mse: 8.9596
Epoch 198/1000
0s - loss: 0.0070 - mse: 6.0827 - val_loss: 0.0102 - val_mse: 8.8836
Epoch 199/1000
0s - loss: 0.0070 - mse: 6.0986 - val_loss: 0.0102 - val_mse: 8.8746
Epoch 200/1000
0s - loss: 0.0070 - mse: 6.1040 - val_loss: 0.0102 - val_mse: 8.8704
Epoch 201/1000
0s - loss: 0.0069 - mse: 6.0271 - val_loss: 0.0103 - val_mse: 8.9373
Epoch 202/1000
0s - loss: 0.0069 - mse: 5.9886 - val_loss: 0.0104 - val_mse: 9.0163
Epoch 203/1000
0s - loss: 0.0069 - mse: 6.0039 - val_loss: 0.0103 - val_mse: 8.9734
Epoch 204/1000
0s - loss: 0.0069 - mse: 5.9722 - val_loss: 0.0102 - val_mse: 8.8558
Epoch 205/1000
0s - loss: 0.0068 - mse: 5.9131 - val_loss: 0.0101 - val_mse: 8.7924
Epoch 206/1000
0s - loss: 0.0068 - mse: 5.9025 - val_loss: 0.0101 - val_mse: 8.7840
Epoch 207/1000
0s - loss: 0.0068 - mse: 5.8989 - val_loss: 0.0101 - val_mse: 8.7870
Epoch 208/1000
0s - loss: 0.0067 - mse: 5.8523 - val_loss: 0.0101 - val_mse: 8.8226
Epoch 209/1000
0s - loss: 0.0067 - mse: 5.8177 - val_loss: 0.0102 - val_mse: 8.8639
Epoch 210/1000

Epoch 00209: reducing learning rate to 0.00168070008513.
0s - loss: 0.0067 - mse: 5.8139 - val_loss: 0.0101 - val_mse: 8.8384
Epoch 211/1000
0s - loss: 0.0066 - mse: 5.7888 - val_loss: 0.0101 - val_mse: 8.7844
Epoch 212/1000
0s - loss: 0.0066 - mse: 5.7572 - val_loss: 0.0100 - val_mse: 8.7363
Epoch 213/1000
0s - loss: 0.0066 - mse: 5.7373 - val_loss: 0.0100 - val_mse: 8.7135
Epoch 214/1000
0s - loss: 0.0066 - mse: 5.7311 - val_loss: 0.0100 - val_mse: 8.7055
Epoch 215/1000
0s - loss: 0.0066 - mse: 5.7176 - val_loss: 0.0100 - val_mse: 8.7060
Epoch 216/1000
0s - loss: 0.0065 - mse: 5.6923 - val_loss: 0.0100 - val_mse: 8.7188
Epoch 217/1000
0s - loss: 0.0065 - mse: 5.6714 - val_loss: 0.0100 - val_mse: 8.7352
Epoch 218/1000
0s - loss: 0.0065 - mse: 5.6609 - val_loss: 0.0100 - val_mse: 8.7330
Epoch 219/1000
0s - loss: 0.0065 - mse: 5.6482 - val_loss: 0.0100 - val_mse: 8.7048
Epoch 220/1000
0s - loss: 0.0065 - mse: 5.6265 - val_loss: 0.0100 - val_mse: 8.6687
Epoch 221/1000
0s - loss: 0.0064 - mse: 5.6061 - val_loss: 0.0099 - val_mse: 8.6438
Epoch 222/1000
0s - loss: 0.0064 - mse: 5.5932 - val_loss: 0.0099 - val_mse: 8.6314
Epoch 223/1000
0s - loss: 0.0064 - mse: 5.5800 - val_loss: 0.0099 - val_mse: 8.6272
Epoch 224/1000
0s - loss: 0.0064 - mse: 5.5604 - val_loss: 0.0099 - val_mse: 8.6314
Epoch 225/1000
0s - loss: 0.0064 - mse: 5.5412 - val_loss: 0.0099 - val_mse: 8.6392
Epoch 226/1000

Epoch 00225: reducing learning rate to 0.00117649007589.
0s - loss: 0.0063 - mse: 5.5274 - val_loss: 0.0099 - val_mse: 8.6376
Epoch 227/1000
0s - loss: 0.0063 - mse: 5.5134 - val_loss: 0.0099 - val_mse: 8.6252
Epoch 228/1000
0s - loss: 0.0063 - mse: 5.5007 - val_loss: 0.0099 - val_mse: 8.6058
Epoch 229/1000
0s - loss: 0.0063 - mse: 5.4876 - val_loss: 0.0099 - val_mse: 8.5860
Epoch 230/1000
0s - loss: 0.0063 - mse: 5.4766 - val_loss: 0.0098 - val_mse: 8.5693
Epoch 231/1000
0s - loss: 0.0063 - mse: 5.4670 - val_loss: 0.0098 - val_mse: 8.5563
Epoch 232/1000
0s - loss: 0.0063 - mse: 5.4563 - val_loss: 0.0098 - val_mse: 8.5473
Epoch 233/1000
0s - loss: 0.0063 - mse: 5.4439 - val_loss: 0.0098 - val_mse: 8.5428
Epoch 234/1000
0s - loss: 0.0062 - mse: 5.4318 - val_loss: 0.0098 - val_mse: 8.5414
Epoch 235/1000
0s - loss: 0.0062 - mse: 5.4211 - val_loss: 0.0098 - val_mse: 8.5398
Epoch 236/1000
0s - loss: 0.0062 - mse: 5.4110 - val_loss: 0.0098 - val_mse: 8.5343
Epoch 237/1000
0s - loss: 0.0062 - mse: 5.3999 - val_loss: 0.0098 - val_mse: 8.5250
Epoch 238/1000
0s - loss: 0.0062 - mse: 5.3881 - val_loss: 0.0098 - val_mse: 8.5135
Epoch 239/1000
0s - loss: 0.0062 - mse: 5.3767 - val_loss: 0.0098 - val_mse: 8.5021
Epoch 240/1000

Epoch 00239: reducing learning rate to 0.000823543069419.
0s - loss: 0.0062 - mse: 5.3661 - val_loss: 0.0098 - val_mse: 8.4921
Epoch 241/1000
0s - loss: 0.0061 - mse: 5.3556 - val_loss: 0.0097 - val_mse: 8.4863
Epoch 242/1000
0s - loss: 0.0061 - mse: 5.3476 - val_loss: 0.0097 - val_mse: 8.4820
Epoch 243/1000
0s - loss: 0.0061 - mse: 5.3394 - val_loss: 0.0097 - val_mse: 8.4794
Epoch 244/1000
0s - loss: 0.0061 - mse: 5.3313 - val_loss: 0.0097 - val_mse: 8.4781
Epoch 245/1000
0s - loss: 0.0061 - mse: 5.3237 - val_loss: 0.0097 - val_mse: 8.4766
Epoch 246/1000
0s - loss: 0.0061 - mse: 5.3162 - val_loss: 0.0097 - val_mse: 8.4738
Epoch 247/1000
0s - loss: 0.0061 - mse: 5.3086 - val_loss: 0.0097 - val_mse: 8.4690
Epoch 248/1000
0s - loss: 0.0061 - mse: 5.3006 - val_loss: 0.0097 - val_mse: 8.4624
Epoch 249/1000
0s - loss: 0.0061 - mse: 5.2927 - val_loss: 0.0097 - val_mse: 8.4548
Epoch 250/1000
0s - loss: 0.0061 - mse: 5.2849 - val_loss: 0.0097 - val_mse: 8.4468
Epoch 251/1000
0s - loss: 0.0061 - mse: 5.2772 - val_loss: 0.0097 - val_mse: 8.4391
Epoch 252/1000
0s - loss: 0.0061 - mse: 5.2696 - val_loss: 0.0097 - val_mse: 8.4329
Epoch 253/1000
0s - loss: 0.0060 - mse: 5.2618 - val_loss: 0.0097 - val_mse: 8.4282
Epoch 254/1000

Epoch 00253: reducing learning rate to 0.000576480140444.
0s - loss: 0.0060 - mse: 5.2539 - val_loss: 0.0097 - val_mse: 8.4249
Epoch 255/1000
0s - loss: 0.0060 - mse: 5.2461 - val_loss: 0.0097 - val_mse: 8.4231
Epoch 256/1000
0s - loss: 0.0060 - mse: 5.2406 - val_loss: 0.0097 - val_mse: 8.4216
Epoch 257/1000
0s - loss: 0.0060 - mse: 5.2353 - val_loss: 0.0097 - val_mse: 8.4195
Epoch 258/1000
0s - loss: 0.0060 - mse: 5.2299 - val_loss: 0.0097 - val_mse: 8.4166
Epoch 259/1000
0s - loss: 0.0060 - mse: 5.2246 - val_loss: 0.0097 - val_mse: 8.4130
Epoch 260/1000
0s - loss: 0.0060 - mse: 5.2192 - val_loss: 0.0097 - val_mse: 8.4089
Epoch 261/1000
0s - loss: 0.0060 - mse: 5.2137 - val_loss: 0.0097 - val_mse: 8.4046
Epoch 262/1000
0s - loss: 0.0060 - mse: 5.2084 - val_loss: 0.0096 - val_mse: 8.4008
Epoch 263/1000
0s - loss: 0.0060 - mse: 5.2032 - val_loss: 0.0096 - val_mse: 8.3977
Epoch 264/1000
0s - loss: 0.0060 - mse: 5.1980 - val_loss: 0.0096 - val_mse: 8.3951
Epoch 265/1000
0s - loss: 0.0060 - mse: 5.1928 - val_loss: 0.0096 - val_mse: 8.3930
Epoch 266/1000
0s - loss: 0.0060 - mse: 5.1875 - val_loss: 0.0096 - val_mse: 8.3912
Epoch 267/1000
0s - loss: 0.0060 - mse: 5.1824 - val_loss: 0.0096 - val_mse: 8.3893
Epoch 268/1000

Epoch 00267: reducing learning rate to 0.000403536082013.
0s - loss: 0.0059 - mse: 5.1772 - val_loss: 0.0096 - val_mse: 8.3869
Epoch 269/1000
0s - loss: 0.0059 - mse: 5.1721 - val_loss: 0.0096 - val_mse: 8.3849
Epoch 270/1000
0s - loss: 0.0059 - mse: 5.1685 - val_loss: 0.0096 - val_mse: 8.3828
Epoch 271/1000
0s - loss: 0.0059 - mse: 5.1649 - val_loss: 0.0096 - val_mse: 8.3806
Epoch 272/1000
0s - loss: 0.0059 - mse: 5.1613 - val_loss: 0.0096 - val_mse: 8.3784
Epoch 273/1000
0s - loss: 0.0059 - mse: 5.1578 - val_loss: 0.0096 - val_mse: 8.3762
Epoch 274/1000
0s - loss: 0.0059 - mse: 5.1543 - val_loss: 0.0096 - val_mse: 8.3740
Epoch 275/1000
0s - loss: 0.0059 - mse: 5.1507 - val_loss: 0.0096 - val_mse: 8.3716
Epoch 276/1000
0s - loss: 0.0059 - mse: 5.1472 - val_loss: 0.0096 - val_mse: 8.3692
Epoch 277/1000
0s - loss: 0.0059 - mse: 5.1437 - val_loss: 0.0096 - val_mse: 8.3667
Epoch 278/1000
0s - loss: 0.0059 - mse: 5.1402 - val_loss: 0.0096 - val_mse: 8.3645
Epoch 279/1000
0s - loss: 0.0059 - mse: 5.1367 - val_loss: 0.0096 - val_mse: 8.3625
Epoch 280/1000
0s - loss: 0.0059 - mse: 5.1332 - val_loss: 0.0096 - val_mse: 8.3608
Epoch 281/1000
0s - loss: 0.0059 - mse: 5.1297 - val_loss: 0.0096 - val_mse: 8.3592
Epoch 282/1000

Epoch 00281: reducing learning rate to 0.000282475253334.
0s - loss: 0.0059 - mse: 5.1262 - val_loss: 0.0096 - val_mse: 8.3576
Epoch 283/1000
0s - loss: 0.0059 - mse: 5.1227 - val_loss: 0.0096 - val_mse: 8.3564
Epoch 284/1000
0s - loss: 0.0059 - mse: 5.1203 - val_loss: 0.0096 - val_mse: 8.3552
Epoch 285/1000
0s - loss: 0.0059 - mse: 5.1179 - val_loss: 0.0096 - val_mse: 8.3539
Epoch 286/1000
0s - loss: 0.0059 - mse: 5.1154 - val_loss: 0.0096 - val_mse: 8.3527
Epoch 287/1000
0s - loss: 0.0059 - mse: 5.1130 - val_loss: 0.0096 - val_mse: 8.3516
Epoch 288/1000
0s - loss: 0.0059 - mse: 5.1105 - val_loss: 0.0096 - val_mse: 8.3505
Epoch 289/1000
0s - loss: 0.0059 - mse: 5.1081 - val_loss: 0.0096 - val_mse: 8.3495
Epoch 290/1000
0s - loss: 0.0059 - mse: 5.1057 - val_loss: 0.0096 - val_mse: 8.3485
Epoch 291/1000
0s - loss: 0.0059 - mse: 5.1033 - val_loss: 0.0096 - val_mse: 8.3475
Epoch 292/1000
0s - loss: 0.0059 - mse: 5.1008 - val_loss: 0.0096 - val_mse: 8.3463
Epoch 293/1000
0s - loss: 0.0059 - mse: 5.0984 - val_loss: 0.0096 - val_mse: 8.3451
Epoch 294/1000
0s - loss: 0.0059 - mse: 5.0960 - val_loss: 0.0096 - val_mse: 8.3439
Epoch 295/1000
0s - loss: 0.0058 - mse: 5.0936 - val_loss: 0.0096 - val_mse: 8.3428
Epoch 296/1000

Epoch 00295: reducing learning rate to 0.000197732681409.
0s - loss: 0.0058 - mse: 5.0912 - val_loss: 0.0096 - val_mse: 8.3417
Epoch 297/1000
0s - loss: 0.0058 - mse: 5.0888 - val_loss: 0.0096 - val_mse: 8.3410
Epoch 298/1000
0s - loss: 0.0058 - mse: 5.0871 - val_loss: 0.0096 - val_mse: 8.3403
Epoch 299/1000
0s - loss: 0.0058 - mse: 5.0854 - val_loss: 0.0096 - val_mse: 8.3396
Epoch 300/1000
0s - loss: 0.0058 - mse: 5.0838 - val_loss: 0.0096 - val_mse: 8.3388
Epoch 301/1000
0s - loss: 0.0058 - mse: 5.0821 - val_loss: 0.0096 - val_mse: 8.3379
Epoch 302/1000
0s - loss: 0.0058 - mse: 5.0804 - val_loss: 0.0096 - val_mse: 8.3370
Epoch 303/1000
0s - loss: 0.0058 - mse: 5.0788 - val_loss: 0.0096 - val_mse: 8.3361
Epoch 304/1000
0s - loss: 0.0058 - mse: 5.0771 - val_loss: 0.0096 - val_mse: 8.3352
Epoch 305/1000
0s - loss: 0.0058 - mse: 5.0755 - val_loss: 0.0096 - val_mse: 8.3344
Epoch 306/1000
0s - loss: 0.0058 - mse: 5.0738 - val_loss: 0.0096 - val_mse: 8.3336
Epoch 307/1000
0s - loss: 0.0058 - mse: 5.0722 - val_loss: 0.0096 - val_mse: 8.3328
Epoch 308/1000
0s - loss: 0.0058 - mse: 5.0705 - val_loss: 0.0096 - val_mse: 8.3322
Epoch 309/1000
0s - loss: 0.0058 - mse: 5.0689 - val_loss: 0.0096 - val_mse: 8.3316
Epoch 310/1000

Epoch 00309: reducing learning rate to 0.000138412872911.
0s - loss: 0.0058 - mse: 5.0672 - val_loss: 0.0096 - val_mse: 8.3309
Epoch 311/1000
0s - loss: 0.0058 - mse: 5.0656 - val_loss: 0.0096 - val_mse: 8.3304
Epoch 312/1000
0s - loss: 0.0058 - mse: 5.0644 - val_loss: 0.0096 - val_mse: 8.3299
Epoch 313/1000
0s - loss: 0.0058 - mse: 5.0633 - val_loss: 0.0096 - val_mse: 8.3293
Epoch 314/1000
0s - loss: 0.0058 - mse: 5.0621 - val_loss: 0.0096 - val_mse: 8.3288
Epoch 315/1000
0s - loss: 0.0058 - mse: 5.0610 - val_loss: 0.0096 - val_mse: 8.3282
Epoch 316/1000
0s - loss: 0.0058 - mse: 5.0598 - val_loss: 0.0096 - val_mse: 8.3276
Epoch 317/1000
0s - loss: 0.0058 - mse: 5.0587 - val_loss: 0.0096 - val_mse: 8.3271
Epoch 318/1000
0s - loss: 0.0058 - mse: 5.0576 - val_loss: 0.0096 - val_mse: 8.3265
Epoch 319/1000
0s - loss: 0.0058 - mse: 5.0564 - val_loss: 0.0096 - val_mse: 8.3260
Epoch 320/1000
0s - loss: 0.0058 - mse: 5.0553 - val_loss: 0.0096 - val_mse: 8.3254
Epoch 321/1000
0s - loss: 0.0058 - mse: 5.0542 - val_loss: 0.0096 - val_mse: 8.3249
Epoch 322/1000
0s - loss: 0.0058 - mse: 5.0530 - val_loss: 0.0096 - val_mse: 8.3243
[{'loss': 0.0029864141251891851, 'run': 0, 'dropout': 0.0, 'val_mse': 5.508796215057373, 'label': '', 'width': 135, 'mse': 2.6006863117218018, 'val_loss': 0.0063258488662540913}, {'loss': 0.0058024991303682327, 'run': 1, 'dropout': 0.0, 'val_mse': 8.3242835998535156, 'label': '', 'width': 135, 'mse': 5.053041934967041, 'val_loss': 0.0095589244738221169}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_29 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
time_distributed_16 (TimeDis (None, None, 1)           136       
=================================================================
Total params: 74,656
Trainable params: 74,656
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.2004 - mse: 1045.3596 - val_loss: 0.6737 - val_mse: 586.6693
Epoch 2/1000
0s - loss: 0.6215 - mse: 541.2297 - val_loss: 0.3848 - val_mse: 335.1357
Epoch 3/1000
0s - loss: 0.3589 - mse: 312.5642 - val_loss: 0.4376 - val_mse: 381.0556
Epoch 4/1000
0s - loss: 0.4290 - mse: 373.5837 - val_loss: 0.3176 - val_mse: 276.5996
Epoch 5/1000
0s - loss: 0.3047 - mse: 265.3586 - val_loss: 0.2308 - val_mse: 200.9966
Epoch 6/1000
0s - loss: 0.2239 - mse: 194.9586 - val_loss: 0.2302 - val_mse: 200.4707
Epoch 7/1000
0s - loss: 0.2219 - mse: 193.2511 - val_loss: 0.1662 - val_mse: 144.7220
Epoch 8/1000
0s - loss: 0.1541 - mse: 134.2384 - val_loss: 0.1485 - val_mse: 129.2766
Epoch 9/1000
0s - loss: 0.1357 - mse: 118.1374 - val_loss: 0.1332 - val_mse: 116.0156
Epoch 10/1000
0s - loss: 0.1201 - mse: 104.6165 - val_loss: 0.1522 - val_mse: 132.5723
Epoch 11/1000
0s - loss: 0.1335 - mse: 116.2844 - val_loss: 0.1519 - val_mse: 132.2557
Epoch 12/1000
0s - loss: 0.1281 - mse: 111.5508 - val_loss: 0.1318 - val_mse: 114.7333
Epoch 13/1000
0s - loss: 0.1107 - mse: 96.4419 - val_loss: 0.1247 - val_mse: 108.5963
Epoch 14/1000
0s - loss: 0.1065 - mse: 92.7657 - val_loss: 0.1197 - val_mse: 104.2760
Epoch 15/1000
0s - loss: 0.1031 - mse: 89.8166 - val_loss: 0.1120 - val_mse: 97.5540
Epoch 16/1000
0s - loss: 0.0967 - mse: 84.2165 - val_loss: 0.1020 - val_mse: 88.8154
Epoch 17/1000
0s - loss: 0.0884 - mse: 76.9886 - val_loss: 0.0931 - val_mse: 81.1018
Epoch 18/1000
0s - loss: 0.0815 - mse: 70.9656 - val_loss: 0.0908 - val_mse: 79.0318
Epoch 19/1000
0s - loss: 0.0808 - mse: 70.3593 - val_loss: 0.0880 - val_mse: 76.6575
Epoch 20/1000
0s - loss: 0.0801 - mse: 69.7293 - val_loss: 0.0792 - val_mse: 68.9670
Epoch 21/1000
0s - loss: 0.0734 - mse: 63.9522 - val_loss: 0.0724 - val_mse: 63.0588
Epoch 22/1000
0s - loss: 0.0676 - mse: 58.8396 - val_loss: 0.0730 - val_mse: 63.5685
Epoch 23/1000
0s - loss: 0.0676 - mse: 58.8388 - val_loss: 0.0755 - val_mse: 65.7695
Epoch 24/1000
0s - loss: 0.0692 - mse: 60.2927 - val_loss: 0.0724 - val_mse: 63.0656
Epoch 25/1000
0s - loss: 0.0662 - mse: 57.6513 - val_loss: 0.0646 - val_mse: 56.2544
Epoch 26/1000
0s - loss: 0.0593 - mse: 51.6452 - val_loss: 0.0616 - val_mse: 53.6638
Epoch 27/1000
0s - loss: 0.0575 - mse: 50.0513 - val_loss: 0.0615 - val_mse: 53.5723
Epoch 28/1000
0s - loss: 0.0581 - mse: 50.6255 - val_loss: 0.0592 - val_mse: 51.5416
Epoch 29/1000
0s - loss: 0.0559 - mse: 48.6480 - val_loss: 0.0554 - val_mse: 48.2749
Epoch 30/1000
0s - loss: 0.0515 - mse: 44.8845 - val_loss: 0.0525 - val_mse: 45.7223
Epoch 31/1000
0s - loss: 0.0474 - mse: 41.3192 - val_loss: 0.0541 - val_mse: 47.1012
Epoch 32/1000
0s - loss: 0.0480 - mse: 41.7894 - val_loss: 0.0534 - val_mse: 46.5284
Epoch 33/1000
0s - loss: 0.0469 - mse: 40.8073 - val_loss: 0.0511 - val_mse: 44.4807
Epoch 34/1000
0s - loss: 0.0450 - mse: 39.2060 - val_loss: 0.0481 - val_mse: 41.9116
Epoch 35/1000
0s - loss: 0.0430 - mse: 37.4340 - val_loss: 0.0475 - val_mse: 41.3354
Epoch 36/1000
0s - loss: 0.0431 - mse: 37.5687 - val_loss: 0.0461 - val_mse: 40.1161
Epoch 37/1000
0s - loss: 0.0415 - mse: 36.1256 - val_loss: 0.0457 - val_mse: 39.7917
Epoch 38/1000
0s - loss: 0.0405 - mse: 35.3112 - val_loss: 0.0442 - val_mse: 38.4877
Epoch 39/1000
0s - loss: 0.0389 - mse: 33.9057 - val_loss: 0.0432 - val_mse: 37.5834
Epoch 40/1000
0s - loss: 0.0382 - mse: 33.2524 - val_loss: 0.0419 - val_mse: 36.5056
Epoch 41/1000
0s - loss: 0.0372 - mse: 32.4365 - val_loss: 0.0409 - val_mse: 35.5838
Epoch 42/1000
0s - loss: 0.0365 - mse: 31.7578 - val_loss: 0.0399 - val_mse: 34.7357
Epoch 43/1000
0s - loss: 0.0359 - mse: 31.2292 - val_loss: 0.0381 - val_mse: 33.2092
Epoch 44/1000
0s - loss: 0.0345 - mse: 30.0559 - val_loss: 0.0371 - val_mse: 32.2791
Epoch 45/1000
0s - loss: 0.0337 - mse: 29.3726 - val_loss: 0.0362 - val_mse: 31.5437
Epoch 46/1000
0s - loss: 0.0328 - mse: 28.5389 - val_loss: 0.0360 - val_mse: 31.3609
Epoch 47/1000
0s - loss: 0.0324 - mse: 28.2146 - val_loss: 0.0351 - val_mse: 30.5551
Epoch 48/1000
0s - loss: 0.0316 - mse: 27.4864 - val_loss: 0.0339 - val_mse: 29.5534
Epoch 49/1000
0s - loss: 0.0307 - mse: 26.7698 - val_loss: 0.0331 - val_mse: 28.8397
Epoch 50/1000
0s - loss: 0.0302 - mse: 26.2664 - val_loss: 0.0327 - val_mse: 28.4469
Epoch 51/1000
0s - loss: 0.0297 - mse: 25.8639 - val_loss: 0.0322 - val_mse: 28.0438
Epoch 52/1000
0s - loss: 0.0292 - mse: 25.4118 - val_loss: 0.0315 - val_mse: 27.4147
Epoch 53/1000
0s - loss: 0.0285 - mse: 24.8184 - val_loss: 0.0310 - val_mse: 27.0066
Epoch 54/1000
0s - loss: 0.0281 - mse: 24.4729 - val_loss: 0.0304 - val_mse: 26.4682
Epoch 55/1000
0s - loss: 0.0275 - mse: 23.9741 - val_loss: 0.0299 - val_mse: 26.0400
Epoch 56/1000
0s - loss: 0.0272 - mse: 23.6802 - val_loss: 0.0292 - val_mse: 25.4549
Epoch 57/1000
0s - loss: 0.0268 - mse: 23.3036 - val_loss: 0.0287 - val_mse: 24.9557
Epoch 58/1000
0s - loss: 0.0264 - mse: 22.9473 - val_loss: 0.0282 - val_mse: 24.5622
Epoch 59/1000
0s - loss: 0.0259 - mse: 22.5133 - val_loss: 0.0281 - val_mse: 24.4325
Epoch 60/1000
0s - loss: 0.0256 - mse: 22.3363 - val_loss: 0.0275 - val_mse: 23.9405
Epoch 61/1000
0s - loss: 0.0252 - mse: 21.9670 - val_loss: 0.0269 - val_mse: 23.4505
Epoch 62/1000
0s - loss: 0.0249 - mse: 21.6582 - val_loss: 0.0266 - val_mse: 23.1341
Epoch 63/1000
0s - loss: 0.0246 - mse: 21.3930 - val_loss: 0.0263 - val_mse: 22.9174
Epoch 64/1000
0s - loss: 0.0243 - mse: 21.1621 - val_loss: 0.0259 - val_mse: 22.5368
Epoch 65/1000
0s - loss: 0.0239 - mse: 20.7907 - val_loss: 0.0256 - val_mse: 22.3339
Epoch 66/1000
0s - loss: 0.0236 - mse: 20.5683 - val_loss: 0.0255 - val_mse: 22.1643
Epoch 67/1000
0s - loss: 0.0233 - mse: 20.2847 - val_loss: 0.0252 - val_mse: 21.9799
Epoch 68/1000
0s - loss: 0.0230 - mse: 20.0215 - val_loss: 0.0249 - val_mse: 21.7205
Epoch 69/1000
0s - loss: 0.0227 - mse: 19.7566 - val_loss: 0.0247 - val_mse: 21.5330
Epoch 70/1000
0s - loss: 0.0224 - mse: 19.5156 - val_loss: 0.0245 - val_mse: 21.3749
Epoch 71/1000
0s - loss: 0.0221 - mse: 19.2286 - val_loss: 0.0243 - val_mse: 21.1790
Epoch 72/1000
1s - loss: 0.0218 - mse: 18.9931 - val_loss: 0.0240 - val_mse: 20.8641
Epoch 73/1000
0s - loss: 0.0215 - mse: 18.7439 - val_loss: 0.0236 - val_mse: 20.5817
Epoch 74/1000
0s - loss: 0.0212 - mse: 18.4651 - val_loss: 0.0234 - val_mse: 20.3734
Epoch 75/1000
0s - loss: 0.0210 - mse: 18.2451 - val_loss: 0.0230 - val_mse: 20.0703
Epoch 76/1000
0s - loss: 0.0207 - mse: 17.9919 - val_loss: 0.0228 - val_mse: 19.8361
Epoch 77/1000
0s - loss: 0.0204 - mse: 17.7552 - val_loss: 0.0226 - val_mse: 19.6699
Epoch 78/1000
0s - loss: 0.0201 - mse: 17.5330 - val_loss: 0.0223 - val_mse: 19.4028
Epoch 79/1000
0s - loss: 0.0198 - mse: 17.2840 - val_loss: 0.0220 - val_mse: 19.1947
Epoch 80/1000
0s - loss: 0.0196 - mse: 17.0507 - val_loss: 0.0219 - val_mse: 19.0798
Epoch 81/1000
0s - loss: 0.0193 - mse: 16.8173 - val_loss: 0.0217 - val_mse: 18.8949
Epoch 82/1000
0s - loss: 0.0190 - mse: 16.5799 - val_loss: 0.0215 - val_mse: 18.7415
Epoch 83/1000
0s - loss: 0.0188 - mse: 16.3508 - val_loss: 0.0213 - val_mse: 18.5339
Epoch 84/1000
0s - loss: 0.0185 - mse: 16.1128 - val_loss: 0.0210 - val_mse: 18.2483
Epoch 85/1000
0s - loss: 0.0182 - mse: 15.8866 - val_loss: 0.0208 - val_mse: 18.0817
Epoch 86/1000
0s - loss: 0.0180 - mse: 15.6553 - val_loss: 0.0204 - val_mse: 17.7824
Epoch 87/1000
0s - loss: 0.0177 - mse: 15.4128 - val_loss: 0.0203 - val_mse: 17.6814
Epoch 88/1000
0s - loss: 0.0175 - mse: 15.2013 - val_loss: 0.0199 - val_mse: 17.3436
Epoch 89/1000
0s - loss: 0.0173 - mse: 15.0221 - val_loss: 0.0201 - val_mse: 17.5203
Epoch 90/1000
0s - loss: 0.0173 - mse: 15.0268 - val_loss: 0.0200 - val_mse: 17.4194
Epoch 91/1000
0s - loss: 0.0177 - mse: 15.3757 - val_loss: 0.0224 - val_mse: 19.4711
Epoch 92/1000
0s - loss: 0.0195 - mse: 16.9806 - val_loss: 0.0210 - val_mse: 18.2969
Epoch 93/1000

Epoch 00092: reducing learning rate to 0.00699999984354.
1s - loss: 0.0192 - mse: 16.6936 - val_loss: 0.0204 - val_mse: 17.8060
Epoch 94/1000
0s - loss: 0.0178 - mse: 15.5356 - val_loss: 0.0184 - val_mse: 16.0460
Epoch 95/1000
0s - loss: 0.0160 - mse: 13.9107 - val_loss: 0.0191 - val_mse: 16.6185
Epoch 96/1000
0s - loss: 0.0173 - mse: 15.0247 - val_loss: 0.0176 - val_mse: 15.3509
Epoch 97/1000
0s - loss: 0.0154 - mse: 13.3778 - val_loss: 0.0190 - val_mse: 16.5605
Epoch 98/1000
0s - loss: 0.0164 - mse: 14.2779 - val_loss: 0.0176 - val_mse: 15.3623
Epoch 99/1000
0s - loss: 0.0151 - mse: 13.1696 - val_loss: 0.0178 - val_mse: 15.5072
Epoch 100/1000
0s - loss: 0.0157 - mse: 13.7073 - val_loss: 0.0171 - val_mse: 14.9012
Epoch 101/1000
0s - loss: 0.0148 - mse: 12.8744 - val_loss: 0.0178 - val_mse: 15.4999
Epoch 102/1000
0s - loss: 0.0151 - mse: 13.1519 - val_loss: 0.0172 - val_mse: 14.9755
Epoch 103/1000
0s - loss: 0.0146 - mse: 12.7019 - val_loss: 0.0167 - val_mse: 14.5197
Epoch 104/1000
0s - loss: 0.0145 - mse: 12.6286 - val_loss: 0.0164 - val_mse: 14.3048
Epoch 105/1000
0s - loss: 0.0143 - mse: 12.4573 - val_loss: 0.0164 - val_mse: 14.3076
Epoch 106/1000
0s - loss: 0.0140 - mse: 12.1999 - val_loss: 0.0164 - val_mse: 14.3201
Epoch 107/1000
0s - loss: 0.0140 - mse: 12.2072 - val_loss: 0.0157 - val_mse: 13.6590
Epoch 108/1000
0s - loss: 0.0135 - mse: 11.7971 - val_loss: 0.0157 - val_mse: 13.6669
Epoch 109/1000
0s - loss: 0.0137 - mse: 11.9365 - val_loss: 0.0154 - val_mse: 13.4308
Epoch 110/1000
0s - loss: 0.0132 - mse: 11.4846 - val_loss: 0.0157 - val_mse: 13.6775
Epoch 111/1000
1s - loss: 0.0133 - mse: 11.6217 - val_loss: 0.0151 - val_mse: 13.1300
Epoch 112/1000
0s - loss: 0.0129 - mse: 11.1955 - val_loss: 0.0150 - val_mse: 13.1001
Epoch 113/1000
0s - loss: 0.0130 - mse: 11.3085 - val_loss: 0.0148 - val_mse: 12.9008
Epoch 114/1000
0s - loss: 0.0126 - mse: 10.9304 - val_loss: 0.0151 - val_mse: 13.1247
Epoch 115/1000
0s - loss: 0.0126 - mse: 10.9864 - val_loss: 0.0146 - val_mse: 12.7540
Epoch 116/1000
0s - loss: 0.0123 - mse: 10.6773 - val_loss: 0.0145 - val_mse: 12.6307
Epoch 117/1000
0s - loss: 0.0123 - mse: 10.6944 - val_loss: 0.0143 - val_mse: 12.4749
Epoch 118/1000
0s - loss: 0.0120 - mse: 10.4174 - val_loss: 0.0145 - val_mse: 12.6319
Epoch 119/1000
0s - loss: 0.0120 - mse: 10.4145 - val_loss: 0.0142 - val_mse: 12.3286
Epoch 120/1000
0s - loss: 0.0117 - mse: 10.1745 - val_loss: 0.0140 - val_mse: 12.1766
Epoch 121/1000
0s - loss: 0.0117 - mse: 10.1575 - val_loss: 0.0138 - val_mse: 12.0492
Epoch 122/1000
0s - loss: 0.0114 - mse: 9.9381 - val_loss: 0.0139 - val_mse: 12.1358
Epoch 123/1000
0s - loss: 0.0114 - mse: 9.9124 - val_loss: 0.0136 - val_mse: 11.8743
Epoch 124/1000
0s - loss: 0.0112 - mse: 9.7144 - val_loss: 0.0135 - val_mse: 11.7563
Epoch 125/1000
0s - loss: 0.0111 - mse: 9.6820 - val_loss: 0.0134 - val_mse: 11.6738
Epoch 126/1000
0s - loss: 0.0109 - mse: 9.4989 - val_loss: 0.0134 - val_mse: 11.6977
Epoch 127/1000
0s - loss: 0.0109 - mse: 9.4575 - val_loss: 0.0131 - val_mse: 11.4475
Epoch 128/1000
0s - loss: 0.0107 - mse: 9.2975 - val_loss: 0.0130 - val_mse: 11.3457
Epoch 129/1000
0s - loss: 0.0106 - mse: 9.2441 - val_loss: 0.0130 - val_mse: 11.3165
Epoch 130/1000
0s - loss: 0.0105 - mse: 9.1106 - val_loss: 0.0129 - val_mse: 11.2666
Epoch 131/1000
0s - loss: 0.0104 - mse: 9.0344 - val_loss: 0.0127 - val_mse: 11.0829
Epoch 132/1000
0s - loss: 0.0103 - mse: 8.9342 - val_loss: 0.0126 - val_mse: 10.9886
Epoch 133/1000
0s - loss: 0.0101 - mse: 8.8359 - val_loss: 0.0126 - val_mse: 10.9947
Epoch 134/1000
0s - loss: 0.0101 - mse: 8.7675 - val_loss: 0.0125 - val_mse: 10.8679
Epoch 135/1000
0s - loss: 0.0099 - mse: 8.6559 - val_loss: 0.0124 - val_mse: 10.7616
Epoch 136/1000
0s - loss: 0.0099 - mse: 8.6023 - val_loss: 0.0123 - val_mse: 10.6737
Epoch 137/1000
0s - loss: 0.0098 - mse: 8.4970 - val_loss: 0.0122 - val_mse: 10.6160
Epoch 138/1000
0s - loss: 0.0097 - mse: 8.4339 - val_loss: 0.0121 - val_mse: 10.5100
Epoch 139/1000
0s - loss: 0.0096 - mse: 8.3552 - val_loss: 0.0120 - val_mse: 10.4485
Epoch 140/1000
0s - loss: 0.0095 - mse: 8.2723 - val_loss: 0.0120 - val_mse: 10.4102
Epoch 141/1000
0s - loss: 0.0094 - mse: 8.2158 - val_loss: 0.0118 - val_mse: 10.2896
Epoch 142/1000
0s - loss: 0.0093 - mse: 8.1292 - val_loss: 0.0117 - val_mse: 10.2249
Epoch 143/1000
0s - loss: 0.0093 - mse: 8.0709 - val_loss: 0.0117 - val_mse: 10.1822
Epoch 144/1000
0s - loss: 0.0092 - mse: 8.0016 - val_loss: 0.0116 - val_mse: 10.0773
Epoch 145/1000
0s - loss: 0.0091 - mse: 7.9274 - val_loss: 0.0115 - val_mse: 9.9778
Epoch 146/1000
0s - loss: 0.0090 - mse: 7.8739 - val_loss: 0.0114 - val_mse: 9.9221
Epoch 147/1000
0s - loss: 0.0090 - mse: 7.8015 - val_loss: 0.0113 - val_mse: 9.8826
Epoch 148/1000
0s - loss: 0.0089 - mse: 7.7395 - val_loss: 0.0113 - val_mse: 9.8187
Epoch 149/1000
0s - loss: 0.0088 - mse: 7.6844 - val_loss: 0.0112 - val_mse: 9.7457
Epoch 150/1000
0s - loss: 0.0087 - mse: 7.6164 - val_loss: 0.0111 - val_mse: 9.7018
Epoch 151/1000
0s - loss: 0.0087 - mse: 7.5586 - val_loss: 0.0111 - val_mse: 9.6609
Epoch 152/1000
0s - loss: 0.0086 - mse: 7.5046 - val_loss: 0.0110 - val_mse: 9.5844
Epoch 153/1000
0s - loss: 0.0085 - mse: 7.4404 - val_loss: 0.0109 - val_mse: 9.5108
Epoch 154/1000
0s - loss: 0.0085 - mse: 7.3842 - val_loss: 0.0109 - val_mse: 9.4718
Epoch 155/1000
0s - loss: 0.0084 - mse: 7.3306 - val_loss: 0.0108 - val_mse: 9.4356
Epoch 156/1000
0s - loss: 0.0083 - mse: 7.2706 - val_loss: 0.0108 - val_mse: 9.3768
Epoch 157/1000
0s - loss: 0.0083 - mse: 7.2137 - val_loss: 0.0107 - val_mse: 9.3258
Epoch 158/1000
0s - loss: 0.0082 - mse: 7.1623 - val_loss: 0.0107 - val_mse: 9.2968
Epoch 159/1000
0s - loss: 0.0082 - mse: 7.1069 - val_loss: 0.0106 - val_mse: 9.2663
Epoch 160/1000
0s - loss: 0.0081 - mse: 7.0523 - val_loss: 0.0106 - val_mse: 9.2121
Epoch 161/1000
0s - loss: 0.0080 - mse: 7.0024 - val_loss: 0.0105 - val_mse: 9.1687
Epoch 162/1000
0s - loss: 0.0080 - mse: 6.9530 - val_loss: 0.0105 - val_mse: 9.1551
Epoch 163/1000
0s - loss: 0.0079 - mse: 6.9012 - val_loss: 0.0105 - val_mse: 9.1051
Epoch 164/1000
0s - loss: 0.0079 - mse: 6.8504 - val_loss: 0.0104 - val_mse: 9.0411
Epoch 165/1000
0s - loss: 0.0078 - mse: 6.8032 - val_loss: 0.0104 - val_mse: 9.0195
Epoch 166/1000
0s - loss: 0.0078 - mse: 6.7562 - val_loss: 0.0103 - val_mse: 8.9862
Epoch 167/1000
0s - loss: 0.0077 - mse: 6.7077 - val_loss: 0.0103 - val_mse: 8.9404
Epoch 168/1000
0s - loss: 0.0076 - mse: 6.6590 - val_loss: 0.0102 - val_mse: 8.8998
Epoch 169/1000
0s - loss: 0.0076 - mse: 6.6120 - val_loss: 0.0102 - val_mse: 8.8656
Epoch 170/1000
0s - loss: 0.0075 - mse: 6.5661 - val_loss: 0.0101 - val_mse: 8.8223
Epoch 171/1000
0s - loss: 0.0075 - mse: 6.5196 - val_loss: 0.0100 - val_mse: 8.7439
Epoch 172/1000
0s - loss: 0.0074 - mse: 6.4725 - val_loss: 0.0100 - val_mse: 8.7244
Epoch 173/1000
0s - loss: 0.0074 - mse: 6.4250 - val_loss: 0.0099 - val_mse: 8.6596
Epoch 174/1000
0s - loss: 0.0073 - mse: 6.3774 - val_loss: 0.0099 - val_mse: 8.6017
Epoch 175/1000
0s - loss: 0.0073 - mse: 6.3307 - val_loss: 0.0098 - val_mse: 8.5568
Epoch 176/1000
0s - loss: 0.0072 - mse: 6.2843 - val_loss: 0.0098 - val_mse: 8.5016
Epoch 177/1000
0s - loss: 0.0072 - mse: 6.2383 - val_loss: 0.0097 - val_mse: 8.4417
Epoch 178/1000
0s - loss: 0.0071 - mse: 6.1932 - val_loss: 0.0096 - val_mse: 8.3723
Epoch 179/1000
0s - loss: 0.0071 - mse: 6.1488 - val_loss: 0.0096 - val_mse: 8.3443
Epoch 180/1000
0s - loss: 0.0070 - mse: 6.1057 - val_loss: 0.0095 - val_mse: 8.2518
Epoch 181/1000
0s - loss: 0.0070 - mse: 6.0654 - val_loss: 0.0095 - val_mse: 8.2617
Epoch 182/1000
0s - loss: 0.0069 - mse: 6.0333 - val_loss: 0.0094 - val_mse: 8.1649
Epoch 183/1000
0s - loss: 0.0069 - mse: 6.0276 - val_loss: 0.0096 - val_mse: 8.3745
Epoch 184/1000
0s - loss: 0.0070 - mse: 6.1046 - val_loss: 0.0097 - val_mse: 8.4365
Epoch 185/1000

Epoch 00184: reducing learning rate to 0.00489999982528.
0s - loss: 0.0074 - mse: 6.4250 - val_loss: 0.0110 - val_mse: 9.5895
Epoch 186/1000
0s - loss: 0.0083 - mse: 7.2190 - val_loss: 0.0098 - val_mse: 8.5124
Epoch 187/1000
0s - loss: 0.0074 - mse: 6.4305 - val_loss: 0.0093 - val_mse: 8.0945
Epoch 188/1000
0s - loss: 0.0070 - mse: 6.1042 - val_loss: 0.0102 - val_mse: 8.9174
Epoch 189/1000
0s - loss: 0.0078 - mse: 6.8110 - val_loss: 0.0092 - val_mse: 7.9912
Epoch 190/1000
0s - loss: 0.0066 - mse: 5.7705 - val_loss: 0.0098 - val_mse: 8.5299
Epoch 191/1000
0s - loss: 0.0074 - mse: 6.4532 - val_loss: 0.0091 - val_mse: 7.9541
Epoch 192/1000
0s - loss: 0.0067 - mse: 5.8593 - val_loss: 0.0094 - val_mse: 8.1705
Epoch 193/1000
0s - loss: 0.0070 - mse: 6.0561 - val_loss: 0.0093 - val_mse: 8.1341
Epoch 194/1000
0s - loss: 0.0069 - mse: 5.9940 - val_loss: 0.0091 - val_mse: 7.9593
Epoch 195/1000
0s - loss: 0.0066 - mse: 5.7799 - val_loss: 0.0093 - val_mse: 8.1316
Epoch 196/1000
0s - loss: 0.0069 - mse: 5.9989 - val_loss: 0.0088 - val_mse: 7.6774
Epoch 197/1000
0s - loss: 0.0064 - mse: 5.6102 - val_loss: 0.0091 - val_mse: 7.9679
Epoch 198/1000
0s - loss: 0.0068 - mse: 5.9152 - val_loss: 0.0089 - val_mse: 7.7112
Epoch 199/1000
0s - loss: 0.0064 - mse: 5.5448 - val_loss: 0.0091 - val_mse: 7.9423
Epoch 200/1000
0s - loss: 0.0067 - mse: 5.8051 - val_loss: 0.0087 - val_mse: 7.5496
Epoch 201/1000
0s - loss: 0.0063 - mse: 5.5127 - val_loss: 0.0088 - val_mse: 7.7061
Epoch 202/1000
0s - loss: 0.0065 - mse: 5.6717 - val_loss: 0.0088 - val_mse: 7.6642
Epoch 203/1000
0s - loss: 0.0063 - mse: 5.4949 - val_loss: 0.0089 - val_mse: 7.7193
Epoch 204/1000
0s - loss: 0.0064 - mse: 5.5469 - val_loss: 0.0087 - val_mse: 7.5403
Epoch 205/1000

Epoch 00204: reducing learning rate to 0.00343000004068.
0s - loss: 0.0063 - mse: 5.4788 - val_loss: 0.0086 - val_mse: 7.4904
Epoch 206/1000
0s - loss: 0.0062 - mse: 5.4357 - val_loss: 0.0086 - val_mse: 7.4975
Epoch 207/1000
0s - loss: 0.0062 - mse: 5.3754 - val_loss: 0.0087 - val_mse: 7.5851
Epoch 208/1000
0s - loss: 0.0062 - mse: 5.4195 - val_loss: 0.0086 - val_mse: 7.4591
Epoch 209/1000
0s - loss: 0.0061 - mse: 5.3200 - val_loss: 0.0086 - val_mse: 7.4575
Epoch 210/1000
0s - loss: 0.0062 - mse: 5.3732 - val_loss: 0.0085 - val_mse: 7.3781
Epoch 211/1000
0s - loss: 0.0061 - mse: 5.2919 - val_loss: 0.0085 - val_mse: 7.4402
Epoch 212/1000
0s - loss: 0.0061 - mse: 5.3111 - val_loss: 0.0085 - val_mse: 7.4346
Epoch 213/1000
0s - loss: 0.0061 - mse: 5.2723 - val_loss: 0.0085 - val_mse: 7.3962
Epoch 214/1000
0s - loss: 0.0060 - mse: 5.2498 - val_loss: 0.0085 - val_mse: 7.3657
Epoch 215/1000
0s - loss: 0.0060 - mse: 5.2483 - val_loss: 0.0084 - val_mse: 7.3129
Epoch 216/1000
0s - loss: 0.0060 - mse: 5.1985 - val_loss: 0.0084 - val_mse: 7.3409
Epoch 217/1000
0s - loss: 0.0060 - mse: 5.2134 - val_loss: 0.0084 - val_mse: 7.2973
Epoch 218/1000
0s - loss: 0.0059 - mse: 5.1591 - val_loss: 0.0084 - val_mse: 7.2977
Epoch 219/1000
0s - loss: 0.0059 - mse: 5.1691 - val_loss: 0.0083 - val_mse: 7.2464
Epoch 220/1000
0s - loss: 0.0059 - mse: 5.1266 - val_loss: 0.0083 - val_mse: 7.2328
Epoch 221/1000
0s - loss: 0.0059 - mse: 5.1212 - val_loss: 0.0083 - val_mse: 7.2049
Epoch 222/1000
0s - loss: 0.0059 - mse: 5.0953 - val_loss: 0.0083 - val_mse: 7.1878
Epoch 223/1000
0s - loss: 0.0058 - mse: 5.0748 - val_loss: 0.0082 - val_mse: 7.1842
Epoch 224/1000
0s - loss: 0.0058 - mse: 5.0614 - val_loss: 0.0082 - val_mse: 7.1589
Epoch 225/1000
0s - loss: 0.0058 - mse: 5.0318 - val_loss: 0.0082 - val_mse: 7.1371
Epoch 226/1000
0s - loss: 0.0058 - mse: 5.0242 - val_loss: 0.0081 - val_mse: 7.0926
Epoch 227/1000
0s - loss: 0.0057 - mse: 4.9922 - val_loss: 0.0081 - val_mse: 7.0943
Epoch 228/1000
0s - loss: 0.0057 - mse: 4.9849 - val_loss: 0.0081 - val_mse: 7.0889
Epoch 229/1000

Epoch 00228: reducing learning rate to 0.00240100002848.
0s - loss: 0.0057 - mse: 4.9543 - val_loss: 0.0081 - val_mse: 7.0843
Epoch 230/1000
0s - loss: 0.0057 - mse: 4.9446 - val_loss: 0.0081 - val_mse: 7.0520
Epoch 231/1000
0s - loss: 0.0057 - mse: 4.9242 - val_loss: 0.0081 - val_mse: 7.0266
Epoch 232/1000
0s - loss: 0.0056 - mse: 4.9117 - val_loss: 0.0081 - val_mse: 7.0211
Epoch 233/1000
0s - loss: 0.0056 - mse: 4.9019 - val_loss: 0.0081 - val_mse: 7.0211
Epoch 234/1000
0s - loss: 0.0056 - mse: 4.8821 - val_loss: 0.0081 - val_mse: 7.0277
Epoch 235/1000
0s - loss: 0.0056 - mse: 4.8732 - val_loss: 0.0081 - val_mse: 7.0114
Epoch 236/1000
0s - loss: 0.0056 - mse: 4.8579 - val_loss: 0.0080 - val_mse: 6.9837
Epoch 237/1000
0s - loss: 0.0056 - mse: 4.8422 - val_loss: 0.0080 - val_mse: 6.9681
Epoch 238/1000
0s - loss: 0.0055 - mse: 4.8322 - val_loss: 0.0080 - val_mse: 6.9605
Epoch 239/1000
0s - loss: 0.0055 - mse: 4.8149 - val_loss: 0.0080 - val_mse: 6.9626
Epoch 240/1000
0s - loss: 0.0055 - mse: 4.8029 - val_loss: 0.0080 - val_mse: 6.9547
Epoch 241/1000
0s - loss: 0.0055 - mse: 4.7896 - val_loss: 0.0080 - val_mse: 6.9340
Epoch 242/1000
0s - loss: 0.0055 - mse: 4.7739 - val_loss: 0.0079 - val_mse: 6.9151
Epoch 243/1000

Epoch 00242: reducing learning rate to 0.00168070008513.
0s - loss: 0.0055 - mse: 4.7627 - val_loss: 0.0079 - val_mse: 6.9011
Epoch 244/1000
0s - loss: 0.0055 - mse: 4.7471 - val_loss: 0.0079 - val_mse: 6.8981
Epoch 245/1000
0s - loss: 0.0054 - mse: 4.7374 - val_loss: 0.0079 - val_mse: 6.8963
Epoch 246/1000
0s - loss: 0.0054 - mse: 4.7288 - val_loss: 0.0079 - val_mse: 6.8889
Epoch 247/1000
0s - loss: 0.0054 - mse: 4.7184 - val_loss: 0.0079 - val_mse: 6.8774
Epoch 248/1000
0s - loss: 0.0054 - mse: 4.7086 - val_loss: 0.0079 - val_mse: 6.8651
Epoch 249/1000
0s - loss: 0.0054 - mse: 4.6998 - val_loss: 0.0079 - val_mse: 6.8534
Epoch 250/1000
0s - loss: 0.0054 - mse: 4.6896 - val_loss: 0.0079 - val_mse: 6.8450
Epoch 251/1000
0s - loss: 0.0054 - mse: 4.6796 - val_loss: 0.0079 - val_mse: 6.8399
Epoch 252/1000
0s - loss: 0.0054 - mse: 4.6705 - val_loss: 0.0078 - val_mse: 6.8348
Epoch 253/1000
0s - loss: 0.0054 - mse: 4.6605 - val_loss: 0.0078 - val_mse: 6.8294
Epoch 254/1000
0s - loss: 0.0053 - mse: 4.6505 - val_loss: 0.0078 - val_mse: 6.8231
Epoch 255/1000
0s - loss: 0.0053 - mse: 4.6412 - val_loss: 0.0078 - val_mse: 6.8148
Epoch 256/1000
0s - loss: 0.0053 - mse: 4.6313 - val_loss: 0.0078 - val_mse: 6.8053
Epoch 257/1000

Epoch 00256: reducing learning rate to 0.00117649007589.
0s - loss: 0.0053 - mse: 4.6215 - val_loss: 0.0078 - val_mse: 6.7967
Epoch 258/1000
0s - loss: 0.0053 - mse: 4.6122 - val_loss: 0.0078 - val_mse: 6.7920
Epoch 259/1000
0s - loss: 0.0053 - mse: 4.6053 - val_loss: 0.0078 - val_mse: 6.7890
Epoch 260/1000
0s - loss: 0.0053 - mse: 4.5984 - val_loss: 0.0078 - val_mse: 6.7873
Epoch 261/1000
0s - loss: 0.0053 - mse: 4.5918 - val_loss: 0.0078 - val_mse: 6.7854
Epoch 262/1000
0s - loss: 0.0053 - mse: 4.5851 - val_loss: 0.0078 - val_mse: 6.7825
Epoch 263/1000
0s - loss: 0.0053 - mse: 4.5782 - val_loss: 0.0078 - val_mse: 6.7789
Epoch 264/1000
0s - loss: 0.0052 - mse: 4.5714 - val_loss: 0.0078 - val_mse: 6.7738
Epoch 265/1000
0s - loss: 0.0052 - mse: 4.5648 - val_loss: 0.0078 - val_mse: 6.7669
Epoch 266/1000
0s - loss: 0.0052 - mse: 4.5581 - val_loss: 0.0078 - val_mse: 6.7605
Epoch 267/1000
0s - loss: 0.0052 - mse: 4.5513 - val_loss: 0.0078 - val_mse: 6.7563
Epoch 268/1000
0s - loss: 0.0052 - mse: 4.5446 - val_loss: 0.0078 - val_mse: 6.7529
Epoch 269/1000
0s - loss: 0.0052 - mse: 4.5379 - val_loss: 0.0078 - val_mse: 6.7495
Epoch 270/1000
0s - loss: 0.0052 - mse: 4.5311 - val_loss: 0.0077 - val_mse: 6.7448
Epoch 271/1000

Epoch 00270: reducing learning rate to 0.000823543069419.
0s - loss: 0.0052 - mse: 4.5243 - val_loss: 0.0077 - val_mse: 6.7389
Epoch 272/1000
0s - loss: 0.0052 - mse: 4.5176 - val_loss: 0.0077 - val_mse: 6.7344
Epoch 273/1000
0s - loss: 0.0052 - mse: 4.5128 - val_loss: 0.0077 - val_mse: 6.7296
Epoch 274/1000
0s - loss: 0.0052 - mse: 4.5080 - val_loss: 0.0077 - val_mse: 6.7251
Epoch 275/1000
0s - loss: 0.0052 - mse: 4.5032 - val_loss: 0.0077 - val_mse: 6.7220
Epoch 276/1000
0s - loss: 0.0052 - mse: 4.4984 - val_loss: 0.0077 - val_mse: 6.7198
Epoch 277/1000
0s - loss: 0.0052 - mse: 4.4937 - val_loss: 0.0077 - val_mse: 6.7181
Epoch 278/1000
0s - loss: 0.0052 - mse: 4.4889 - val_loss: 0.0077 - val_mse: 6.7163
Epoch 279/1000
0s - loss: 0.0051 - mse: 4.4841 - val_loss: 0.0077 - val_mse: 6.7136
Epoch 280/1000
0s - loss: 0.0051 - mse: 4.4793 - val_loss: 0.0077 - val_mse: 6.7098
Epoch 281/1000
0s - loss: 0.0051 - mse: 4.4744 - val_loss: 0.0077 - val_mse: 6.7057
Epoch 282/1000
0s - loss: 0.0051 - mse: 4.4694 - val_loss: 0.0077 - val_mse: 6.7017
Epoch 283/1000
0s - loss: 0.0051 - mse: 4.4645 - val_loss: 0.0077 - val_mse: 6.6981
Epoch 284/1000
0s - loss: 0.0051 - mse: 4.4596 - val_loss: 0.0077 - val_mse: 6.6949
Epoch 285/1000

Epoch 00284: reducing learning rate to 0.000576480140444.
0s - loss: 0.0051 - mse: 4.4546 - val_loss: 0.0077 - val_mse: 6.6915
Epoch 286/1000
0s - loss: 0.0051 - mse: 4.4496 - val_loss: 0.0077 - val_mse: 6.6886
Epoch 287/1000
0s - loss: 0.0051 - mse: 4.4461 - val_loss: 0.0077 - val_mse: 6.6852
Epoch 288/1000
0s - loss: 0.0051 - mse: 4.4425 - val_loss: 0.0077 - val_mse: 6.6818
Epoch 289/1000
0s - loss: 0.0051 - mse: 4.4390 - val_loss: 0.0077 - val_mse: 6.6791
Epoch 290/1000
0s - loss: 0.0051 - mse: 4.4354 - val_loss: 0.0077 - val_mse: 6.6770
Epoch 291/1000
0s - loss: 0.0051 - mse: 4.4318 - val_loss: 0.0077 - val_mse: 6.6749
Epoch 292/1000
0s - loss: 0.0051 - mse: 4.4282 - val_loss: 0.0077 - val_mse: 6.6722
Epoch 293/1000
0s - loss: 0.0051 - mse: 4.4246 - val_loss: 0.0077 - val_mse: 6.6687
Epoch 294/1000
0s - loss: 0.0051 - mse: 4.4210 - val_loss: 0.0077 - val_mse: 6.6648
Epoch 295/1000
0s - loss: 0.0051 - mse: 4.4174 - val_loss: 0.0076 - val_mse: 6.6613
Epoch 296/1000
0s - loss: 0.0051 - mse: 4.4138 - val_loss: 0.0076 - val_mse: 6.6583
Epoch 297/1000
0s - loss: 0.0051 - mse: 4.4103 - val_loss: 0.0076 - val_mse: 6.6556
Epoch 298/1000
0s - loss: 0.0051 - mse: 4.4067 - val_loss: 0.0076 - val_mse: 6.6534
Epoch 299/1000

Epoch 00298: reducing learning rate to 0.000403536082013.
0s - loss: 0.0051 - mse: 4.4031 - val_loss: 0.0076 - val_mse: 6.6515
Epoch 300/1000
0s - loss: 0.0051 - mse: 4.3995 - val_loss: 0.0076 - val_mse: 6.6500
Epoch 301/1000
0s - loss: 0.0050 - mse: 4.3970 - val_loss: 0.0076 - val_mse: 6.6483
Epoch 302/1000
0s - loss: 0.0050 - mse: 4.3945 - val_loss: 0.0076 - val_mse: 6.6466
Epoch 303/1000
0s - loss: 0.0050 - mse: 4.3920 - val_loss: 0.0076 - val_mse: 6.6449
Epoch 304/1000
0s - loss: 0.0050 - mse: 4.3895 - val_loss: 0.0076 - val_mse: 6.6432
Epoch 305/1000
0s - loss: 0.0050 - mse: 4.3870 - val_loss: 0.0076 - val_mse: 6.6420
Epoch 306/1000
0s - loss: 0.0050 - mse: 4.3845 - val_loss: 0.0076 - val_mse: 6.6409
Epoch 307/1000
0s - loss: 0.0050 - mse: 4.3819 - val_loss: 0.0076 - val_mse: 6.6396
Epoch 308/1000
0s - loss: 0.0050 - mse: 4.3794 - val_loss: 0.0076 - val_mse: 6.6382
Epoch 309/1000
0s - loss: 0.0050 - mse: 4.3769 - val_loss: 0.0076 - val_mse: 6.6367
Epoch 310/1000
0s - loss: 0.0050 - mse: 4.3744 - val_loss: 0.0076 - val_mse: 6.6351
Epoch 311/1000
0s - loss: 0.0050 - mse: 4.3719 - val_loss: 0.0076 - val_mse: 6.6333
Epoch 312/1000
0s - loss: 0.0050 - mse: 4.3694 - val_loss: 0.0076 - val_mse: 6.6317
Epoch 313/1000

Epoch 00312: reducing learning rate to 0.000282475253334.
0s - loss: 0.0050 - mse: 4.3668 - val_loss: 0.0076 - val_mse: 6.6303
Epoch 314/1000
0s - loss: 0.0050 - mse: 4.3643 - val_loss: 0.0076 - val_mse: 6.6293
Epoch 315/1000
0s - loss: 0.0050 - mse: 4.3626 - val_loss: 0.0076 - val_mse: 6.6281
Epoch 316/1000
0s - loss: 0.0050 - mse: 4.3608 - val_loss: 0.0076 - val_mse: 6.6270
Epoch 317/1000
0s - loss: 0.0050 - mse: 4.3590 - val_loss: 0.0076 - val_mse: 6.6259
Epoch 318/1000
0s - loss: 0.0050 - mse: 4.3573 - val_loss: 0.0076 - val_mse: 6.6251
Epoch 319/1000
0s - loss: 0.0050 - mse: 4.3555 - val_loss: 0.0076 - val_mse: 6.6242
Epoch 320/1000
0s - loss: 0.0050 - mse: 4.3537 - val_loss: 0.0076 - val_mse: 6.6232
Epoch 321/1000
0s - loss: 0.0050 - mse: 4.3520 - val_loss: 0.0076 - val_mse: 6.6221
Epoch 322/1000
0s - loss: 0.0050 - mse: 4.3502 - val_loss: 0.0076 - val_mse: 6.6209
Epoch 323/1000
0s - loss: 0.0050 - mse: 4.3485 - val_loss: 0.0076 - val_mse: 6.6199
Epoch 324/1000
0s - loss: 0.0050 - mse: 4.3467 - val_loss: 0.0076 - val_mse: 6.6187
Epoch 325/1000
0s - loss: 0.0050 - mse: 4.3449 - val_loss: 0.0076 - val_mse: 6.6175
Epoch 326/1000
0s - loss: 0.0050 - mse: 4.3432 - val_loss: 0.0076 - val_mse: 6.6163
Epoch 327/1000

Epoch 00326: reducing learning rate to 0.000197732681409.
0s - loss: 0.0050 - mse: 4.3414 - val_loss: 0.0076 - val_mse: 6.6151
Epoch 328/1000
0s - loss: 0.0050 - mse: 4.3397 - val_loss: 0.0076 - val_mse: 6.6144
Epoch 329/1000
0s - loss: 0.0050 - mse: 4.3384 - val_loss: 0.0076 - val_mse: 6.6138
Epoch 330/1000
0s - loss: 0.0050 - mse: 4.3372 - val_loss: 0.0076 - val_mse: 6.6130
Epoch 331/1000
0s - loss: 0.0050 - mse: 4.3360 - val_loss: 0.0076 - val_mse: 6.6121
Epoch 332/1000
0s - loss: 0.0050 - mse: 4.3348 - val_loss: 0.0076 - val_mse: 6.6112
Epoch 333/1000
0s - loss: 0.0050 - mse: 4.3336 - val_loss: 0.0076 - val_mse: 6.6104
Epoch 334/1000
0s - loss: 0.0050 - mse: 4.3324 - val_loss: 0.0076 - val_mse: 6.6097
Epoch 335/1000
0s - loss: 0.0050 - mse: 4.3312 - val_loss: 0.0076 - val_mse: 6.6091
Epoch 336/1000
0s - loss: 0.0050 - mse: 4.3300 - val_loss: 0.0076 - val_mse: 6.6084
Epoch 337/1000
0s - loss: 0.0050 - mse: 4.3288 - val_loss: 0.0076 - val_mse: 6.6076
Epoch 338/1000
0s - loss: 0.0050 - mse: 4.3276 - val_loss: 0.0076 - val_mse: 6.6069
[{'loss': 0.0029864141251891851, 'run': 0, 'dropout': 0.0, 'val_mse': 5.508796215057373, 'label': '', 'width': 135, 'mse': 2.6006863117218018, 'val_loss': 0.0063258488662540913}, {'loss': 0.0058024991303682327, 'run': 1, 'dropout': 0.0, 'val_mse': 8.3242835998535156, 'label': '', 'width': 135, 'mse': 5.053041934967041, 'val_loss': 0.0095589244738221169}, {'loss': 0.0049694813787937164, 'run': 2, 'dropout': 0.0, 'val_mse': 6.6069202423095703, 'label': '', 'width': 135, 'mse': 4.3276176452636719, 'val_loss': 0.0075868424028158188}]



In [65]:

    
print pd.DataFrame(rerun1_perf)['val_mse']
print np.mean(pd.DataFrame(rerun1_perf)['val_mse'])
pd.DataFrame(rerun1_perf).loc[:,['run','mse','val_mse']].set_index('run').plot()









    



0    5.508796
1    8.324284
2    6.606920
Name: val_mse, dtype: float64
6.81333335241






    Out[65]:





<matplotlib.axes._subplots.AxesSubplot at 0x1ba52e850>

Adding a second layer



In [36]:

    
def run_depthn(layers, learning_params, initial_weights=None):
    model = Sequential()
    model.add(LSTM(layers[0]['width'], return_sequences=True, activation='tanh', input_shape=(None, 2), dropout=layers[0]['dropout']))
    if len(layers)>1:
        extra_layers = layers[1:]
        for i in range(len(extra_layers)):
            model.add(LSTM(extra_layers[i]['width'], return_sequences=True, activation='tanh', dropout=extra_layers[i]['dropout']))
    model.add(TimeDistributed(Dense(1, activation='linear')))
    optimizer = keras.optimizers.Adam(lr=learning_params['lr_intial'], 
                                      beta_1=0.9, 
                                      beta_2=0.999, 
                                      epsilon=1e-08, 
                                      decay=learning_params['lr_decay'])
    model.compile(loss='mean_squared_error', 
                  optimizer=optimizer, 
                  metrics=[mse])
    if not initial_weights is None:
        assign_weights(model, initial_weights)   
    model.summary()

    reduce_lr = ReduceLROnPlateau(monitor='val_loss', 
                                  cooldown=learning_params['lr_plateau_cooldown'], 
                                  factor=learning_params['lr_plateau_factor'], 
                                  patience=learning_params['lr_plateau_patience'], 
                                  min_lr=learning_params['lr_minimum'],
                                  verbose=1)
    tensor_board = TensorBoard(log_dir="../tensorboardlog/depthn{}_{}".format(
        len(layers),
        "_".join(["width{}x{}".format(l['width'],l['dropout']) for l in layers])))
    early_stopping = EarlyStopping(monitor='val_loss', 
                                   min_delta=learning_params['stop_delta'],
                                   patience=learning_params['stop_patience'], 
                                   verbose=0, 
                                   mode='auto')
    
    fit = model.fit(X_train_p[:,i_fit,:], 
                    y_train_p[:,i_fit,:], 
                    epochs=learning_params['epochs_max'], 
                    validation_data=(X_train_p, y_train_p),
                    verbose=2, 
                    callbacks=[reduce_lr, early_stopping, tensor_board]
                   )
    result_widths = {'width{}'.format(i):y['width'] for i,y in enumerate(layers)}
    result_dropouts = {'dropout{}'.format(i):y['dropout'] for i,y in enumerate(layers)}
    result_values = {'val_mse':fit.history['val_mse'][-1],
                       'val_loss':fit.history['val_loss'][-1],
                       'mse':fit.history['mse'][-1],
                       'loss':fit.history['loss'][-1],
                      }
    results = result_widths.copy()
    results.update(result_dropouts)
    results.update(result_values)
    return fit, results, [layer.get_weights() for layer in model.layers]



In [38]:

    
width1 = 135
dropout_perf = []
prev_weights = []
for width2 in range(75, 151, 25):
        fit, results, prev_weights = run_depthn([{'width':width1, 'dropout':0},
                                                 {'width':width2, 'dropout':0}
                                                ], learningrates2, prev_weights, 'secondlayer')
        dropout_perf.append(results)
        print dropout_perf









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_3 (LSTM)                (None, None, 135)         74520     
_________________________________________________________________
lstm_4 (LSTM)                (None, None, 75)          63300     
_________________________________________________________________
time_distributed_2 (TimeDist (None, None, 1)           76        
=================================================================
Total params: 137,896
Trainable params: 137,896
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.0955 - mse: 954.0013 - val_loss: 0.6145 - val_mse: 535.0911
Epoch 2/1000
1s - loss: 0.5657 - mse: 492.5928 - val_loss: 0.3368 - val_mse: 293.2662
Epoch 3/1000
1s - loss: 0.3268 - mse: 284.6288 - val_loss: 0.4502 - val_mse: 392.0319
Epoch 4/1000
1s - loss: 0.4492 - mse: 391.2126 - val_loss: 0.3925 - val_mse: 341.8412
Epoch 5/1000
1s - loss: 0.3851 - mse: 335.3211 - val_loss: 0.4012 - val_mse: 349.4204
Epoch 6/1000
1s - loss: 0.3784 - mse: 329.5274 - val_loss: 0.3668 - val_mse: 319.4286
Epoch 7/1000
1s - loss: 0.3441 - mse: 299.6553 - val_loss: 0.3200 - val_mse: 278.6736
Epoch 8/1000
1s - loss: 0.3027 - mse: 263.5776 - val_loss: 0.2233 - val_mse: 194.4197
Epoch 9/1000
1s - loss: 0.2060 - mse: 179.4205 - val_loss: 0.1707 - val_mse: 148.6415
Epoch 10/1000
1s - loss: 0.1548 - mse: 134.8146 - val_loss: 0.1780 - val_mse: 154.9733
Epoch 11/1000
1s - loss: 0.1643 - mse: 143.0431 - val_loss: 0.1723 - val_mse: 150.0839
Epoch 12/1000
1s - loss: 0.1572 - mse: 136.9104 - val_loss: 0.1397 - val_mse: 121.6849
Epoch 13/1000
1s - loss: 0.1251 - mse: 108.9122 - val_loss: 0.1143 - val_mse: 99.5259
Epoch 14/1000
1s - loss: 0.1019 - mse: 88.7342 - val_loss: 0.1099 - val_mse: 95.6996
Epoch 15/1000
1s - loss: 0.0977 - mse: 85.1153 - val_loss: 0.1184 - val_mse: 103.1136
Epoch 16/1000
1s - loss: 0.1060 - mse: 92.2721 - val_loss: 0.1209 - val_mse: 105.3087
Epoch 17/1000
1s - loss: 0.1085 - mse: 94.5289 - val_loss: 0.1136 - val_mse: 98.9482
Epoch 18/1000
1s - loss: 0.1013 - mse: 88.2187 - val_loss: 0.1043 - val_mse: 90.8120
Epoch 19/1000
1s - loss: 0.0913 - mse: 79.4860 - val_loss: 0.1002 - val_mse: 87.2380
Epoch 20/1000
1s - loss: 0.0856 - mse: 74.5532 - val_loss: 0.1001 - val_mse: 87.2125
Epoch 21/1000
1s - loss: 0.0844 - mse: 73.4991 - val_loss: 0.0983 - val_mse: 85.6290
Epoch 22/1000
1s - loss: 0.0835 - mse: 72.7010 - val_loss: 0.0917 - val_mse: 79.8981
Epoch 23/1000
1s - loss: 0.0797 - mse: 69.4154 - val_loss: 0.0829 - val_mse: 72.2227
Epoch 24/1000
1s - loss: 0.0740 - mse: 64.4123 - val_loss: 0.0769 - val_mse: 66.9365
Epoch 25/1000
1s - loss: 0.0701 - mse: 61.0528 - val_loss: 0.0753 - val_mse: 65.5430
Epoch 26/1000
1s - loss: 0.0697 - mse: 60.7291 - val_loss: 0.0758 - val_mse: 65.9931
Epoch 27/1000
1s - loss: 0.0709 - mse: 61.7267 - val_loss: 0.0749 - val_mse: 65.2183
Epoch 28/1000
1s - loss: 0.0704 - mse: 61.3173 - val_loss: 0.0707 - val_mse: 61.5885
Epoch 29/1000
1s - loss: 0.0666 - mse: 57.9894 - val_loss: 0.0647 - val_mse: 56.3176
Epoch 30/1000
1s - loss: 0.0607 - mse: 52.8278 - val_loss: 0.0603 - val_mse: 52.5329
Epoch 31/1000
1s - loss: 0.0560 - mse: 48.7662 - val_loss: 0.0600 - val_mse: 52.2112
Epoch 32/1000
1s - loss: 0.0549 - mse: 47.8098 - val_loss: 0.0621 - val_mse: 54.0783
Epoch 33/1000
1s - loss: 0.0562 - mse: 48.9685 - val_loss: 0.0631 - val_mse: 54.9149
Epoch 34/1000
1s - loss: 0.0568 - mse: 49.4231 - val_loss: 0.0603 - val_mse: 52.5348
Epoch 35/1000
1s - loss: 0.0544 - mse: 47.3805 - val_loss: 0.0554 - val_mse: 48.2381
Epoch 36/1000
1s - loss: 0.0506 - mse: 44.0550 - val_loss: 0.0512 - val_mse: 44.5503
Epoch 37/1000
1s - loss: 0.0475 - mse: 41.3745 - val_loss: 0.0489 - val_mse: 42.5563
Epoch 38/1000
1s - loss: 0.0459 - mse: 39.9706 - val_loss: 0.0483 - val_mse: 42.0667
Epoch 39/1000
1s - loss: 0.0455 - mse: 39.6310 - val_loss: 0.0484 - val_mse: 42.1702
Epoch 40/1000
1s - loss: 0.0456 - mse: 39.6790 - val_loss: 0.0478 - val_mse: 41.6123
Epoch 41/1000
1s - loss: 0.0449 - mse: 39.1232 - val_loss: 0.0457 - val_mse: 39.7845
Epoch 42/1000
1s - loss: 0.0431 - mse: 37.5143 - val_loss: 0.0430 - val_mse: 37.4346
Epoch 43/1000
1s - loss: 0.0408 - mse: 35.5575 - val_loss: 0.0410 - val_mse: 35.7230
Epoch 44/1000
1s - loss: 0.0393 - mse: 34.2179 - val_loss: 0.0401 - val_mse: 34.9053
Epoch 45/1000
1s - loss: 0.0386 - mse: 33.6209 - val_loss: 0.0394 - val_mse: 34.2970
Epoch 46/1000
1s - loss: 0.0380 - mse: 33.0978 - val_loss: 0.0382 - val_mse: 33.2243
Epoch 47/1000
1s - loss: 0.0368 - mse: 32.0357 - val_loss: 0.0367 - val_mse: 32.0013
Epoch 48/1000
1s - loss: 0.0354 - mse: 30.8004 - val_loss: 0.0358 - val_mse: 31.1828
Epoch 49/1000
1s - loss: 0.0344 - mse: 29.9403 - val_loss: 0.0354 - val_mse: 30.8004
Epoch 50/1000
1s - loss: 0.0339 - mse: 29.4948 - val_loss: 0.0349 - val_mse: 30.4163
Epoch 51/1000
1s - loss: 0.0334 - mse: 29.0614 - val_loss: 0.0342 - val_mse: 29.7448
Epoch 52/1000
1s - loss: 0.0326 - mse: 28.3505 - val_loss: 0.0333 - val_mse: 29.0290
Epoch 53/1000
1s - loss: 0.0317 - mse: 27.5657 - val_loss: 0.0328 - val_mse: 28.5507
Epoch 54/1000
1s - loss: 0.0310 - mse: 26.9797 - val_loss: 0.0325 - val_mse: 28.2903
Epoch 55/1000
1s - loss: 0.0306 - mse: 26.6402 - val_loss: 0.0321 - val_mse: 27.9488
Epoch 56/1000
1s - loss: 0.0302 - mse: 26.3337 - val_loss: 0.0313 - val_mse: 27.2640
Epoch 57/1000
1s - loss: 0.0296 - mse: 25.7950 - val_loss: 0.0304 - val_mse: 26.4590
Epoch 58/1000
1s - loss: 0.0289 - mse: 25.1729 - val_loss: 0.0297 - val_mse: 25.8827
Epoch 59/1000
1s - loss: 0.0284 - mse: 24.7358 - val_loss: 0.0294 - val_mse: 25.5848
Epoch 60/1000
1s - loss: 0.0282 - mse: 24.5207 - val_loss: 0.0291 - val_mse: 25.3322
Epoch 61/1000
1s - loss: 0.0279 - mse: 24.3359 - val_loss: 0.0286 - val_mse: 24.9491
Epoch 62/1000
1s - loss: 0.0276 - mse: 24.0102 - val_loss: 0.0282 - val_mse: 24.5399
Epoch 63/1000
1s - loss: 0.0271 - mse: 23.5973 - val_loss: 0.0279 - val_mse: 24.2574
Epoch 64/1000
1s - loss: 0.0266 - mse: 23.1998 - val_loss: 0.0277 - val_mse: 24.1433
Epoch 65/1000
1s - loss: 0.0263 - mse: 22.8840 - val_loss: 0.0276 - val_mse: 24.0286
Epoch 66/1000
1s - loss: 0.0259 - mse: 22.5810 - val_loss: 0.0273 - val_mse: 23.7710
Epoch 67/1000
1s - loss: 0.0255 - mse: 22.2282 - val_loss: 0.0269 - val_mse: 23.4620
Epoch 68/1000
1s - loss: 0.0251 - mse: 21.8973 - val_loss: 0.0266 - val_mse: 23.1915
Epoch 69/1000
1s - loss: 0.0248 - mse: 21.6011 - val_loss: 0.0264 - val_mse: 22.9658
Epoch 70/1000
1s - loss: 0.0245 - mse: 21.3450 - val_loss: 0.0261 - val_mse: 22.7069
Epoch 71/1000
1s - loss: 0.0242 - mse: 21.0787 - val_loss: 0.0257 - val_mse: 22.4115
Epoch 72/1000
1s - loss: 0.0239 - mse: 20.7893 - val_loss: 0.0255 - val_mse: 22.1741
Epoch 73/1000
1s - loss: 0.0236 - mse: 20.5144 - val_loss: 0.0253 - val_mse: 22.0291
Epoch 74/1000
1s - loss: 0.0233 - mse: 20.2661 - val_loss: 0.0252 - val_mse: 21.9066
Epoch 75/1000
1s - loss: 0.0230 - mse: 20.0206 - val_loss: 0.0249 - val_mse: 21.6893
Epoch 76/1000
1s - loss: 0.0227 - mse: 19.7536 - val_loss: 0.0245 - val_mse: 21.3581
Epoch 77/1000
1s - loss: 0.0224 - mse: 19.4690 - val_loss: 0.0241 - val_mse: 21.0234
Epoch 78/1000
1s - loss: 0.0221 - mse: 19.2191 - val_loss: 0.0238 - val_mse: 20.7578
Epoch 79/1000
1s - loss: 0.0218 - mse: 18.9871 - val_loss: 0.0236 - val_mse: 20.5834
Epoch 80/1000
1s - loss: 0.0215 - mse: 18.7321 - val_loss: 0.0235 - val_mse: 20.4304
Epoch 81/1000
1s - loss: 0.0212 - mse: 18.4713 - val_loss: 0.0232 - val_mse: 20.2073
Epoch 82/1000
1s - loss: 0.0209 - mse: 18.2292 - val_loss: 0.0229 - val_mse: 19.9234
Epoch 83/1000
1s - loss: 0.0206 - mse: 17.9743 - val_loss: 0.0225 - val_mse: 19.5952
Epoch 84/1000
1s - loss: 0.0203 - mse: 17.6883 - val_loss: 0.0221 - val_mse: 19.2849
Epoch 85/1000
1s - loss: 0.0200 - mse: 17.4233 - val_loss: 0.0219 - val_mse: 19.0486
Epoch 86/1000
1s - loss: 0.0197 - mse: 17.1628 - val_loss: 0.0216 - val_mse: 18.8227
Epoch 87/1000
1s - loss: 0.0194 - mse: 16.8744 - val_loss: 0.0215 - val_mse: 18.6919
Epoch 88/1000
1s - loss: 0.0191 - mse: 16.6055 - val_loss: 0.0212 - val_mse: 18.4782
Epoch 89/1000
1s - loss: 0.0188 - mse: 16.3419 - val_loss: 0.0208 - val_mse: 18.1142
Epoch 90/1000
1s - loss: 0.0184 - mse: 16.0379 - val_loss: 0.0204 - val_mse: 17.7434
Epoch 91/1000
1s - loss: 0.0181 - mse: 15.7433 - val_loss: 0.0201 - val_mse: 17.4796
Epoch 92/1000
1s - loss: 0.0177 - mse: 15.4461 - val_loss: 0.0198 - val_mse: 17.2791
Epoch 93/1000
1s - loss: 0.0174 - mse: 15.1648 - val_loss: 0.0203 - val_mse: 17.7142
Epoch 94/1000
1s - loss: 0.0176 - mse: 15.3375 - val_loss: 0.0248 - val_mse: 21.5963
Epoch 95/1000
1s - loss: 0.0230 - mse: 20.0441 - val_loss: 0.0522 - val_mse: 45.4415
Epoch 96/1000
1s - loss: 0.0511 - mse: 44.4965 - val_loss: 0.0255 - val_mse: 22.2342
Epoch 97/1000

Epoch 00096: reducing learning rate to 0.00699999984354.
1s - loss: 0.0252 - mse: 21.9572 - val_loss: 0.0291 - val_mse: 25.3249
Epoch 98/1000
1s - loss: 0.0287 - mse: 25.0033 - val_loss: 0.0202 - val_mse: 17.5860
Epoch 99/1000
1s - loss: 0.0185 - mse: 16.0939 - val_loss: 0.0250 - val_mse: 21.7631
Epoch 100/1000
1s - loss: 0.0231 - mse: 20.0844 - val_loss: 0.0267 - val_mse: 23.2333
Epoch 101/1000
1s - loss: 0.0248 - mse: 21.6209 - val_loss: 0.0221 - val_mse: 19.2617
Epoch 102/1000
1s - loss: 0.0203 - mse: 17.7010 - val_loss: 0.0204 - val_mse: 17.7351
Epoch 103/1000
1s - loss: 0.0189 - mse: 16.5016 - val_loss: 0.0224 - val_mse: 19.4930
Epoch 104/1000
1s - loss: 0.0215 - mse: 18.7491 - val_loss: 0.0222 - val_mse: 19.2917
Epoch 105/1000
1s - loss: 0.0214 - mse: 18.6354 - val_loss: 0.0202 - val_mse: 17.5633
Epoch 106/1000
1s - loss: 0.0190 - mse: 16.5885 - val_loss: 0.0201 - val_mse: 17.4791
Epoch 107/1000
1s - loss: 0.0186 - mse: 16.1578 - val_loss: 0.0212 - val_mse: 18.4411
Epoch 108/1000
1s - loss: 0.0194 - mse: 16.9215 - val_loss: 0.0212 - val_mse: 18.4674
Epoch 109/1000
1s - loss: 0.0195 - mse: 16.9383 - val_loss: 0.0201 - val_mse: 17.5153
Epoch 110/1000
1s - loss: 0.0185 - mse: 16.1507 - val_loss: 0.0192 - val_mse: 16.7094
Epoch 111/1000
1s - loss: 0.0179 - mse: 15.6056 - val_loss: 0.0188 - val_mse: 16.3557
Epoch 112/1000
1s - loss: 0.0178 - mse: 15.4581 - val_loss: 0.0186 - val_mse: 16.1853
Epoch 113/1000
1s - loss: 0.0176 - mse: 15.2848 - val_loss: 0.0186 - val_mse: 16.1913
Epoch 114/1000
1s - loss: 0.0173 - mse: 15.0933 - val_loss: 0.0187 - val_mse: 16.3069
Epoch 115/1000
1s - loss: 0.0172 - mse: 14.9934 - val_loss: 0.0186 - val_mse: 16.2230
Epoch 116/1000
1s - loss: 0.0170 - mse: 14.8176 - val_loss: 0.0182 - val_mse: 15.8569
Epoch 117/1000
1s - loss: 0.0166 - mse: 14.4802 - val_loss: 0.0178 - val_mse: 15.5040
Epoch 118/1000
1s - loss: 0.0163 - mse: 14.1933 - val_loss: 0.0176 - val_mse: 15.3597
Epoch 119/1000
1s - loss: 0.0162 - mse: 14.0728 - val_loss: 0.0176 - val_mse: 15.3176
Epoch 120/1000
1s - loss: 0.0160 - mse: 13.9475 - val_loss: 0.0176 - val_mse: 15.3137
Epoch 121/1000
1s - loss: 0.0158 - mse: 13.7698 - val_loss: 0.0176 - val_mse: 15.3251
Epoch 122/1000
1s - loss: 0.0157 - mse: 13.6445 - val_loss: 0.0174 - val_mse: 15.1878
Epoch 123/1000
1s - loss: 0.0155 - mse: 13.5213 - val_loss: 0.0170 - val_mse: 14.8381
Epoch 124/1000
1s - loss: 0.0153 - mse: 13.3016 - val_loss: 0.0167 - val_mse: 14.5095
Epoch 125/1000
1s - loss: 0.0150 - mse: 13.0913 - val_loss: 0.0166 - val_mse: 14.4212
Epoch 126/1000
1s - loss: 0.0150 - mse: 13.0225 - val_loss: 0.0166 - val_mse: 14.4333
Epoch 127/1000
1s - loss: 0.0149 - mse: 12.9703 - val_loss: 0.0164 - val_mse: 14.2994
Epoch 128/1000
1s - loss: 0.0146 - mse: 12.7500 - val_loss: 0.0162 - val_mse: 14.1271
Epoch 129/1000
1s - loss: 0.0144 - mse: 12.4988 - val_loss: 0.0162 - val_mse: 14.1432
Epoch 130/1000
1s - loss: 0.0143 - mse: 12.4329 - val_loss: 0.0163 - val_mse: 14.1986
Epoch 131/1000
1s - loss: 0.0142 - mse: 12.4081 - val_loss: 0.0161 - val_mse: 14.0596
Epoch 132/1000
1s - loss: 0.0140 - mse: 12.2264 - val_loss: 0.0159 - val_mse: 13.8445
Epoch 133/1000
1s - loss: 0.0138 - mse: 12.0192 - val_loss: 0.0158 - val_mse: 13.7278
Epoch 134/1000
1s - loss: 0.0137 - mse: 11.9510 - val_loss: 0.0156 - val_mse: 13.6247
Epoch 135/1000
1s - loss: 0.0137 - mse: 11.9094 - val_loss: 0.0154 - val_mse: 13.4489
Epoch 136/1000
1s - loss: 0.0135 - mse: 11.7505 - val_loss: 0.0153 - val_mse: 13.3520
Epoch 137/1000
1s - loss: 0.0133 - mse: 11.5765 - val_loss: 0.0154 - val_mse: 13.4381
Epoch 138/1000
1s - loss: 0.0132 - mse: 11.5214 - val_loss: 0.0155 - val_mse: 13.4958
Epoch 139/1000
1s - loss: 0.0132 - mse: 11.4848 - val_loss: 0.0153 - val_mse: 13.3557
Epoch 140/1000
1s - loss: 0.0130 - mse: 11.3488 - val_loss: 0.0151 - val_mse: 13.1692
Epoch 141/1000
1s - loss: 0.0129 - mse: 11.2016 - val_loss: 0.0151 - val_mse: 13.1200
Epoch 142/1000
1s - loss: 0.0128 - mse: 11.1330 - val_loss: 0.0151 - val_mse: 13.1512
Epoch 143/1000
1s - loss: 0.0127 - mse: 11.0787 - val_loss: 0.0151 - val_mse: 13.1296
Epoch 144/1000
1s - loss: 0.0126 - mse: 10.9756 - val_loss: 0.0150 - val_mse: 13.0448
Epoch 145/1000
1s - loss: 0.0125 - mse: 10.8652 - val_loss: 0.0149 - val_mse: 12.9498
Epoch 146/1000
1s - loss: 0.0124 - mse: 10.7871 - val_loss: 0.0148 - val_mse: 12.8601
Epoch 147/1000
1s - loss: 0.0123 - mse: 10.7133 - val_loss: 0.0147 - val_mse: 12.7754
Epoch 148/1000
1s - loss: 0.0122 - mse: 10.6251 - val_loss: 0.0146 - val_mse: 12.6947
Epoch 149/1000
1s - loss: 0.0121 - mse: 10.5401 - val_loss: 0.0145 - val_mse: 12.5995
Epoch 150/1000
1s - loss: 0.0120 - mse: 10.4611 - val_loss: 0.0144 - val_mse: 12.5041
Epoch 151/1000
1s - loss: 0.0119 - mse: 10.3820 - val_loss: 0.0143 - val_mse: 12.4461
Epoch 152/1000
1s - loss: 0.0118 - mse: 10.3041 - val_loss: 0.0143 - val_mse: 12.4180
Epoch 153/1000
1s - loss: 0.0117 - mse: 10.2262 - val_loss: 0.0142 - val_mse: 12.3749
Epoch 154/1000
1s - loss: 0.0117 - mse: 10.1480 - val_loss: 0.0141 - val_mse: 12.2939
Epoch 155/1000
1s - loss: 0.0116 - mse: 10.0748 - val_loss: 0.0140 - val_mse: 12.1970
Epoch 156/1000
1s - loss: 0.0115 - mse: 10.0047 - val_loss: 0.0139 - val_mse: 12.1161
Epoch 157/1000
1s - loss: 0.0114 - mse: 9.9286 - val_loss: 0.0138 - val_mse: 12.0540
Epoch 158/1000
1s - loss: 0.0113 - mse: 9.8525 - val_loss: 0.0138 - val_mse: 11.9913
Epoch 159/1000
1s - loss: 0.0112 - mse: 9.7856 - val_loss: 0.0137 - val_mse: 11.9092
Epoch 160/1000
1s - loss: 0.0112 - mse: 9.7197 - val_loss: 0.0136 - val_mse: 11.8273
Epoch 161/1000
1s - loss: 0.0111 - mse: 9.6479 - val_loss: 0.0135 - val_mse: 11.7831
Epoch 162/1000
1s - loss: 0.0110 - mse: 9.5769 - val_loss: 0.0135 - val_mse: 11.7798
Epoch 163/1000
1s - loss: 0.0109 - mse: 9.5115 - val_loss: 0.0135 - val_mse: 11.7738
Epoch 164/1000
1s - loss: 0.0108 - mse: 9.4468 - val_loss: 0.0135 - val_mse: 11.7413
Epoch 165/1000
1s - loss: 0.0108 - mse: 9.3799 - val_loss: 0.0134 - val_mse: 11.7001
Epoch 166/1000
1s - loss: 0.0107 - mse: 9.3134 - val_loss: 0.0134 - val_mse: 11.6640
Epoch 167/1000
1s - loss: 0.0106 - mse: 9.2493 - val_loss: 0.0134 - val_mse: 11.6258
Epoch 168/1000
1s - loss: 0.0105 - mse: 9.1868 - val_loss: 0.0133 - val_mse: 11.5797
Epoch 169/1000
1s - loss: 0.0105 - mse: 9.1229 - val_loss: 0.0132 - val_mse: 11.5372
Epoch 170/1000
1s - loss: 0.0104 - mse: 9.0584 - val_loss: 0.0132 - val_mse: 11.5147
Epoch 171/1000
1s - loss: 0.0103 - mse: 8.9963 - val_loss: 0.0132 - val_mse: 11.4995
Epoch 172/1000
1s - loss: 0.0103 - mse: 8.9346 - val_loss: 0.0132 - val_mse: 11.4628
Epoch 173/1000
1s - loss: 0.0102 - mse: 8.8708 - val_loss: 0.0131 - val_mse: 11.4072
Epoch 174/1000
1s - loss: 0.0101 - mse: 8.8085 - val_loss: 0.0130 - val_mse: 11.3572
Epoch 175/1000
1s - loss: 0.0100 - mse: 8.7487 - val_loss: 0.0130 - val_mse: 11.3231
Epoch 176/1000
1s - loss: 0.0100 - mse: 8.6868 - val_loss: 0.0130 - val_mse: 11.2978
Epoch 177/1000
1s - loss: 0.0099 - mse: 8.6244 - val_loss: 0.0129 - val_mse: 11.2712
Epoch 178/1000
1s - loss: 0.0098 - mse: 8.5651 - val_loss: 0.0129 - val_mse: 11.2350
Epoch 179/1000
1s - loss: 0.0098 - mse: 8.5060 - val_loss: 0.0128 - val_mse: 11.1852
Epoch 180/1000
1s - loss: 0.0097 - mse: 8.4460 - val_loss: 0.0128 - val_mse: 11.1471
Epoch 181/1000
1s - loss: 0.0096 - mse: 8.3871 - val_loss: 0.0128 - val_mse: 11.1321
Epoch 182/1000
1s - loss: 0.0096 - mse: 8.3283 - val_loss: 0.0128 - val_mse: 11.1116
Epoch 183/1000
1s - loss: 0.0095 - mse: 8.2690 - val_loss: 0.0127 - val_mse: 11.0754
Epoch 184/1000
1s - loss: 0.0094 - mse: 8.2102 - val_loss: 0.0127 - val_mse: 11.0366
Epoch 185/1000
1s - loss: 0.0094 - mse: 8.1518 - val_loss: 0.0126 - val_mse: 10.9969
Epoch 186/1000
1s - loss: 0.0093 - mse: 8.0932 - val_loss: 0.0126 - val_mse: 10.9579
Epoch 187/1000
1s - loss: 0.0092 - mse: 8.0353 - val_loss: 0.0125 - val_mse: 10.9130
Epoch 188/1000
1s - loss: 0.0092 - mse: 7.9774 - val_loss: 0.0125 - val_mse: 10.8741
Epoch 189/1000
1s - loss: 0.0091 - mse: 7.9197 - val_loss: 0.0125 - val_mse: 10.8585
Epoch 190/1000
1s - loss: 0.0090 - mse: 7.8625 - val_loss: 0.0124 - val_mse: 10.8409
Epoch 191/1000
1s - loss: 0.0090 - mse: 7.8057 - val_loss: 0.0124 - val_mse: 10.7952
Epoch 192/1000
1s - loss: 0.0089 - mse: 7.7490 - val_loss: 0.0123 - val_mse: 10.7437
Epoch 193/1000
1s - loss: 0.0088 - mse: 7.6934 - val_loss: 0.0123 - val_mse: 10.7169
Epoch 194/1000
1s - loss: 0.0088 - mse: 7.6379 - val_loss: 0.0123 - val_mse: 10.6925
Epoch 195/1000
1s - loss: 0.0087 - mse: 7.5824 - val_loss: 0.0122 - val_mse: 10.6514
Epoch 196/1000
1s - loss: 0.0086 - mse: 7.5275 - val_loss: 0.0122 - val_mse: 10.6042
Epoch 197/1000
1s - loss: 0.0086 - mse: 7.4728 - val_loss: 0.0121 - val_mse: 10.5782
Epoch 198/1000
1s - loss: 0.0085 - mse: 7.4178 - val_loss: 0.0121 - val_mse: 10.5568
Epoch 199/1000
1s - loss: 0.0085 - mse: 7.3634 - val_loss: 0.0121 - val_mse: 10.5220
Epoch 200/1000
1s - loss: 0.0084 - mse: 7.3090 - val_loss: 0.0120 - val_mse: 10.4870
Epoch 201/1000
1s - loss: 0.0083 - mse: 7.2546 - val_loss: 0.0120 - val_mse: 10.4678
Epoch 202/1000
1s - loss: 0.0083 - mse: 7.2004 - val_loss: 0.0120 - val_mse: 10.4411
Epoch 203/1000
1s - loss: 0.0082 - mse: 7.1461 - val_loss: 0.0119 - val_mse: 10.3898
Epoch 204/1000
1s - loss: 0.0081 - mse: 7.0919 - val_loss: 0.0119 - val_mse: 10.3452
Epoch 205/1000
1s - loss: 0.0081 - mse: 7.0374 - val_loss: 0.0119 - val_mse: 10.3277
Epoch 206/1000
1s - loss: 0.0080 - mse: 6.9825 - val_loss: 0.0118 - val_mse: 10.3089
Epoch 207/1000
1s - loss: 0.0080 - mse: 6.9278 - val_loss: 0.0118 - val_mse: 10.2647
Epoch 208/1000
1s - loss: 0.0079 - mse: 6.8728 - val_loss: 0.0117 - val_mse: 10.2287
Epoch 209/1000
1s - loss: 0.0078 - mse: 6.8178 - val_loss: 0.0117 - val_mse: 10.2118
Epoch 210/1000
1s - loss: 0.0078 - mse: 6.7624 - val_loss: 0.0117 - val_mse: 10.1839
Epoch 211/1000
1s - loss: 0.0077 - mse: 6.7069 - val_loss: 0.0116 - val_mse: 10.1274
Epoch 212/1000
1s - loss: 0.0076 - mse: 6.6510 - val_loss: 0.0116 - val_mse: 10.0928
Epoch 213/1000
1s - loss: 0.0076 - mse: 6.5955 - val_loss: 0.0116 - val_mse: 10.0661
Epoch 214/1000
1s - loss: 0.0075 - mse: 6.5407 - val_loss: 0.0115 - val_mse: 10.0406
Epoch 215/1000
1s - loss: 0.0074 - mse: 6.4862 - val_loss: 0.0115 - val_mse: 9.9928
Epoch 216/1000
1s - loss: 0.0074 - mse: 6.4322 - val_loss: 0.0114 - val_mse: 9.9626
Epoch 217/1000
1s - loss: 0.0073 - mse: 6.3783 - val_loss: 0.0114 - val_mse: 9.9546
Epoch 218/1000
1s - loss: 0.0073 - mse: 6.3245 - val_loss: 0.0114 - val_mse: 9.9104
Epoch 219/1000
1s - loss: 0.0072 - mse: 6.2706 - val_loss: 0.0113 - val_mse: 9.8822
Epoch 220/1000
1s - loss: 0.0071 - mse: 6.2166 - val_loss: 0.0113 - val_mse: 9.8662
Epoch 221/1000
1s - loss: 0.0071 - mse: 6.1626 - val_loss: 0.0113 - val_mse: 9.8159
Epoch 222/1000
1s - loss: 0.0070 - mse: 6.1081 - val_loss: 0.0112 - val_mse: 9.7675
Epoch 223/1000
1s - loss: 0.0070 - mse: 6.0538 - val_loss: 0.0112 - val_mse: 9.7500
Epoch 224/1000
1s - loss: 0.0069 - mse: 5.9998 - val_loss: 0.0112 - val_mse: 9.7320
Epoch 225/1000
1s - loss: 0.0068 - mse: 5.9453 - val_loss: 0.0111 - val_mse: 9.6906
Epoch 226/1000
1s - loss: 0.0068 - mse: 5.8905 - val_loss: 0.0111 - val_mse: 9.6475
Epoch 227/1000
1s - loss: 0.0067 - mse: 5.8358 - val_loss: 0.0111 - val_mse: 9.6275
Epoch 228/1000
1s - loss: 0.0066 - mse: 5.7820 - val_loss: 0.0110 - val_mse: 9.5964
Epoch 229/1000
1s - loss: 0.0066 - mse: 5.7286 - val_loss: 0.0110 - val_mse: 9.5776
Epoch 230/1000
1s - loss: 0.0065 - mse: 5.6754 - val_loss: 0.0110 - val_mse: 9.5433
Epoch 231/1000
1s - loss: 0.0065 - mse: 5.6223 - val_loss: 0.0109 - val_mse: 9.4990
Epoch 232/1000
1s - loss: 0.0064 - mse: 5.5695 - val_loss: 0.0109 - val_mse: 9.4839
Epoch 233/1000
1s - loss: 0.0063 - mse: 5.5171 - val_loss: 0.0109 - val_mse: 9.4486
Epoch 234/1000
1s - loss: 0.0063 - mse: 5.4645 - val_loss: 0.0108 - val_mse: 9.4118
Epoch 235/1000
1s - loss: 0.0062 - mse: 5.4121 - val_loss: 0.0108 - val_mse: 9.3906
Epoch 236/1000
1s - loss: 0.0062 - mse: 5.3599 - val_loss: 0.0107 - val_mse: 9.3479
Epoch 237/1000
1s - loss: 0.0061 - mse: 5.3079 - val_loss: 0.0107 - val_mse: 9.3089
Epoch 238/1000
1s - loss: 0.0060 - mse: 5.2559 - val_loss: 0.0107 - val_mse: 9.2880
Epoch 239/1000
1s - loss: 0.0060 - mse: 5.2040 - val_loss: 0.0106 - val_mse: 9.2370
Epoch 240/1000
1s - loss: 0.0059 - mse: 5.1523 - val_loss: 0.0106 - val_mse: 9.2433
Epoch 241/1000
1s - loss: 0.0059 - mse: 5.1012 - val_loss: 0.0105 - val_mse: 9.1695
Epoch 242/1000
1s - loss: 0.0058 - mse: 5.0502 - val_loss: 0.0105 - val_mse: 9.1657
Epoch 243/1000
1s - loss: 0.0057 - mse: 5.0002 - val_loss: 0.0105 - val_mse: 9.1290
Epoch 244/1000
1s - loss: 0.0057 - mse: 4.9506 - val_loss: 0.0104 - val_mse: 9.0728
Epoch 245/1000
1s - loss: 0.0056 - mse: 4.9013 - val_loss: 0.0104 - val_mse: 9.0803
Epoch 246/1000
1s - loss: 0.0056 - mse: 4.8527 - val_loss: 0.0104 - val_mse: 9.0218
Epoch 247/1000
1s - loss: 0.0055 - mse: 4.8044 - val_loss: 0.0103 - val_mse: 9.0126
Epoch 248/1000
1s - loss: 0.0055 - mse: 4.7564 - val_loss: 0.0103 - val_mse: 8.9537
Epoch 249/1000
1s - loss: 0.0054 - mse: 4.7090 - val_loss: 0.0102 - val_mse: 8.9175
Epoch 250/1000
1s - loss: 0.0054 - mse: 4.6622 - val_loss: 0.0102 - val_mse: 8.8636
Epoch 251/1000
1s - loss: 0.0053 - mse: 4.6179 - val_loss: 0.0101 - val_mse: 8.8183
Epoch 252/1000
1s - loss: 0.0053 - mse: 4.5740 - val_loss: 0.0101 - val_mse: 8.7689
Epoch 253/1000
1s - loss: 0.0052 - mse: 4.5302 - val_loss: 0.0099 - val_mse: 8.6640
Epoch 254/1000
1s - loss: 0.0052 - mse: 4.4873 - val_loss: 0.0100 - val_mse: 8.6862
Epoch 255/1000
1s - loss: 0.0051 - mse: 4.4448 - val_loss: 0.0098 - val_mse: 8.5227
Epoch 256/1000
1s - loss: 0.0051 - mse: 4.4028 - val_loss: 0.0099 - val_mse: 8.6232
Epoch 257/1000
1s - loss: 0.0050 - mse: 4.3628 - val_loss: 0.0095 - val_mse: 8.2996
Epoch 258/1000
1s - loss: 0.0050 - mse: 4.3297 - val_loss: 0.0101 - val_mse: 8.7534
Epoch 259/1000
1s - loss: 0.0050 - mse: 4.3186 - val_loss: 0.0090 - val_mse: 7.8719
Epoch 260/1000
1s - loss: 0.0050 - mse: 4.3907 - val_loss: 0.0112 - val_mse: 9.7885
Epoch 261/1000
1s - loss: 0.0054 - mse: 4.6987 - val_loss: 0.0092 - val_mse: 7.9844
Epoch 262/1000
1s - loss: 0.0064 - mse: 5.5398 - val_loss: 0.0133 - val_mse: 11.5846
Epoch 263/1000
1s - loss: 0.0072 - mse: 6.2599 - val_loss: 0.0101 - val_mse: 8.7784
Epoch 264/1000
1s - loss: 0.0070 - mse: 6.1331 - val_loss: 0.0084 - val_mse: 7.3195
Epoch 265/1000
1s - loss: 0.0051 - mse: 4.4209 - val_loss: 0.0100 - val_mse: 8.6673
Epoch 266/1000
1s - loss: 0.0055 - mse: 4.8084 - val_loss: 0.0095 - val_mse: 8.2917
Epoch 267/1000
1s - loss: 0.0061 - mse: 5.3142 - val_loss: 0.0080 - val_mse: 6.9293
Epoch 268/1000
1s - loss: 0.0048 - mse: 4.1527 - val_loss: 0.0094 - val_mse: 8.1822
Epoch 269/1000
1s - loss: 0.0058 - mse: 5.0598 - val_loss: 0.0088 - val_mse: 7.6961
Epoch 270/1000
1s - loss: 0.0052 - mse: 4.5018 - val_loss: 0.0085 - val_mse: 7.4081
Epoch 271/1000
1s - loss: 0.0050 - mse: 4.3750 - val_loss: 0.0087 - val_mse: 7.5988
Epoch 272/1000

Epoch 00271: reducing learning rate to 0.00489999982528.
1s - loss: 0.0054 - mse: 4.6680 - val_loss: 0.0079 - val_mse: 6.9055
Epoch 273/1000
1s - loss: 0.0046 - mse: 4.0053 - val_loss: 0.0082 - val_mse: 7.1780
Epoch 274/1000
1s - loss: 0.0048 - mse: 4.1914 - val_loss: 0.0083 - val_mse: 7.2127
Epoch 275/1000
1s - loss: 0.0046 - mse: 4.0203 - val_loss: 0.0083 - val_mse: 7.2369
Epoch 276/1000
1s - loss: 0.0046 - mse: 4.0089 - val_loss: 0.0081 - val_mse: 7.0413
Epoch 277/1000
1s - loss: 0.0046 - mse: 4.0048 - val_loss: 0.0079 - val_mse: 6.8762
Epoch 278/1000
1s - loss: 0.0045 - mse: 3.8894 - val_loss: 0.0083 - val_mse: 7.2116
Epoch 279/1000
1s - loss: 0.0045 - mse: 3.9591 - val_loss: 0.0084 - val_mse: 7.3546
Epoch 280/1000
1s - loss: 0.0044 - mse: 3.8110 - val_loss: 0.0083 - val_mse: 7.2589
Epoch 281/1000
1s - loss: 0.0045 - mse: 3.8871 - val_loss: 0.0078 - val_mse: 6.8245
Epoch 282/1000
1s - loss: 0.0043 - mse: 3.7589 - val_loss: 0.0080 - val_mse: 6.9885
Epoch 283/1000
1s - loss: 0.0044 - mse: 3.8156 - val_loss: 0.0084 - val_mse: 7.3278
Epoch 284/1000
1s - loss: 0.0043 - mse: 3.7141 - val_loss: 0.0085 - val_mse: 7.4254
Epoch 285/1000
1s - loss: 0.0043 - mse: 3.7525 - val_loss: 0.0080 - val_mse: 6.9331
Epoch 286/1000

Epoch 00285: reducing learning rate to 0.00343000004068.
1s - loss: 0.0042 - mse: 3.6632 - val_loss: 0.0079 - val_mse: 6.8411
Epoch 287/1000
1s - loss: 0.0042 - mse: 3.6926 - val_loss: 0.0081 - val_mse: 7.0557
Epoch 288/1000
1s - loss: 0.0042 - mse: 3.6257 - val_loss: 0.0085 - val_mse: 7.3703
Epoch 289/1000
1s - loss: 0.0042 - mse: 3.6223 - val_loss: 0.0084 - val_mse: 7.3227
Epoch 290/1000
1s - loss: 0.0042 - mse: 3.6214 - val_loss: 0.0080 - val_mse: 6.9349
Epoch 291/1000
1s - loss: 0.0041 - mse: 3.5622 - val_loss: 0.0078 - val_mse: 6.7589
Epoch 292/1000
1s - loss: 0.0041 - mse: 3.5862 - val_loss: 0.0079 - val_mse: 6.8421
Epoch 293/1000
1s - loss: 0.0041 - mse: 3.5402 - val_loss: 0.0081 - val_mse: 7.0888
Epoch 294/1000
1s - loss: 0.0040 - mse: 3.5249 - val_loss: 0.0082 - val_mse: 7.1212
Epoch 295/1000
1s - loss: 0.0040 - mse: 3.5263 - val_loss: 0.0078 - val_mse: 6.8303
Epoch 296/1000
1s - loss: 0.0040 - mse: 3.4793 - val_loss: 0.0076 - val_mse: 6.6310
Epoch 297/1000
1s - loss: 0.0040 - mse: 3.4892 - val_loss: 0.0076 - val_mse: 6.6522
Epoch 298/1000
1s - loss: 0.0040 - mse: 3.4581 - val_loss: 0.0079 - val_mse: 6.8440
Epoch 299/1000
1s - loss: 0.0040 - mse: 3.4403 - val_loss: 0.0079 - val_mse: 6.9159
Epoch 300/1000
1s - loss: 0.0039 - mse: 3.4367 - val_loss: 0.0077 - val_mse: 6.7254
Epoch 301/1000

Epoch 00300: reducing learning rate to 0.00240100002848.
1s - loss: 0.0039 - mse: 3.4024 - val_loss: 0.0075 - val_mse: 6.5477
Epoch 302/1000
1s - loss: 0.0039 - mse: 3.4010 - val_loss: 0.0075 - val_mse: 6.5374
Epoch 303/1000
1s - loss: 0.0039 - mse: 3.3821 - val_loss: 0.0076 - val_mse: 6.6320
Epoch 304/1000
1s - loss: 0.0039 - mse: 3.3646 - val_loss: 0.0077 - val_mse: 6.7283
Epoch 305/1000
1s - loss: 0.0039 - mse: 3.3628 - val_loss: 0.0077 - val_mse: 6.7064
Epoch 306/1000
1s - loss: 0.0038 - mse: 3.3456 - val_loss: 0.0076 - val_mse: 6.5979
Epoch 307/1000
1s - loss: 0.0038 - mse: 3.3302 - val_loss: 0.0075 - val_mse: 6.5040
Epoch 308/1000
1s - loss: 0.0038 - mse: 3.3250 - val_loss: 0.0074 - val_mse: 6.4815
Epoch 309/1000
1s - loss: 0.0038 - mse: 3.3090 - val_loss: 0.0075 - val_mse: 6.5369
Epoch 310/1000
1s - loss: 0.0038 - mse: 3.2954 - val_loss: 0.0076 - val_mse: 6.6037
Epoch 311/1000
1s - loss: 0.0038 - mse: 3.2882 - val_loss: 0.0076 - val_mse: 6.5976
Epoch 312/1000
1s - loss: 0.0038 - mse: 3.2726 - val_loss: 0.0075 - val_mse: 6.5336
Epoch 313/1000
1s - loss: 0.0037 - mse: 3.2605 - val_loss: 0.0074 - val_mse: 6.4746
Epoch 314/1000
1s - loss: 0.0037 - mse: 3.2515 - val_loss: 0.0074 - val_mse: 6.4584
Epoch 315/1000

Epoch 00314: reducing learning rate to 0.00168070008513.
1s - loss: 0.0037 - mse: 3.2364 - val_loss: 0.0075 - val_mse: 6.4880
Epoch 316/1000
1s - loss: 0.0037 - mse: 3.2256 - val_loss: 0.0075 - val_mse: 6.5068
Epoch 317/1000
1s - loss: 0.0037 - mse: 3.2182 - val_loss: 0.0075 - val_mse: 6.5016
Epoch 318/1000
1s - loss: 0.0037 - mse: 3.2081 - val_loss: 0.0074 - val_mse: 6.4770
Epoch 319/1000
1s - loss: 0.0037 - mse: 3.1997 - val_loss: 0.0074 - val_mse: 6.4481
Epoch 320/1000
1s - loss: 0.0037 - mse: 3.1930 - val_loss: 0.0074 - val_mse: 6.4261
Epoch 321/1000
1s - loss: 0.0037 - mse: 3.1840 - val_loss: 0.0074 - val_mse: 6.4203
Epoch 322/1000
1s - loss: 0.0036 - mse: 3.1747 - val_loss: 0.0074 - val_mse: 6.4251
Epoch 323/1000
1s - loss: 0.0036 - mse: 3.1675 - val_loss: 0.0074 - val_mse: 6.4257
Epoch 324/1000
1s - loss: 0.0036 - mse: 3.1597 - val_loss: 0.0074 - val_mse: 6.4126
Epoch 325/1000
1s - loss: 0.0036 - mse: 3.1504 - val_loss: 0.0073 - val_mse: 6.3929
Epoch 326/1000
1s - loss: 0.0036 - mse: 3.1424 - val_loss: 0.0073 - val_mse: 6.3782
Epoch 327/1000
1s - loss: 0.0036 - mse: 3.1350 - val_loss: 0.0073 - val_mse: 6.3711
Epoch 328/1000
1s - loss: 0.0036 - mse: 3.1262 - val_loss: 0.0073 - val_mse: 6.3703
Epoch 329/1000

Epoch 00328: reducing learning rate to 0.00117649007589.
1s - loss: 0.0036 - mse: 3.1176 - val_loss: 0.0073 - val_mse: 6.3661
Epoch 330/1000
1s - loss: 0.0036 - mse: 3.1100 - val_loss: 0.0073 - val_mse: 6.3563
Epoch 331/1000
1s - loss: 0.0036 - mse: 3.1042 - val_loss: 0.0073 - val_mse: 6.3430
Epoch 332/1000
1s - loss: 0.0036 - mse: 3.0979 - val_loss: 0.0073 - val_mse: 6.3327
Epoch 333/1000
1s - loss: 0.0036 - mse: 3.0921 - val_loss: 0.0073 - val_mse: 6.3277
Epoch 334/1000
1s - loss: 0.0035 - mse: 3.0865 - val_loss: 0.0073 - val_mse: 6.3263
Epoch 335/1000
1s - loss: 0.0035 - mse: 3.0807 - val_loss: 0.0073 - val_mse: 6.3241
Epoch 336/1000
1s - loss: 0.0035 - mse: 3.0747 - val_loss: 0.0073 - val_mse: 6.3189
Epoch 337/1000
1s - loss: 0.0035 - mse: 3.0688 - val_loss: 0.0072 - val_mse: 6.3097
Epoch 338/1000
1s - loss: 0.0035 - mse: 3.0631 - val_loss: 0.0072 - val_mse: 6.2998
Epoch 339/1000
1s - loss: 0.0035 - mse: 3.0573 - val_loss: 0.0072 - val_mse: 6.2905
Epoch 340/1000
1s - loss: 0.0035 - mse: 3.0513 - val_loss: 0.0072 - val_mse: 6.2830
Epoch 341/1000
1s - loss: 0.0035 - mse: 3.0453 - val_loss: 0.0072 - val_mse: 6.2786
Epoch 342/1000
1s - loss: 0.0035 - mse: 3.0396 - val_loss: 0.0072 - val_mse: 6.2768
Epoch 343/1000

Epoch 00342: reducing learning rate to 0.000823543069419.
1s - loss: 0.0035 - mse: 3.0338 - val_loss: 0.0072 - val_mse: 6.2741
Epoch 344/1000
1s - loss: 0.0035 - mse: 3.0278 - val_loss: 0.0072 - val_mse: 6.2709
Epoch 345/1000
1s - loss: 0.0035 - mse: 3.0236 - val_loss: 0.0072 - val_mse: 6.2663
Epoch 346/1000
1s - loss: 0.0035 - mse: 3.0195 - val_loss: 0.0072 - val_mse: 6.2605
Epoch 347/1000
1s - loss: 0.0035 - mse: 3.0154 - val_loss: 0.0072 - val_mse: 6.2538
Epoch 348/1000
1s - loss: 0.0035 - mse: 3.0112 - val_loss: 0.0072 - val_mse: 6.2487
Epoch 349/1000
1s - loss: 0.0035 - mse: 3.0069 - val_loss: 0.0072 - val_mse: 6.2463
Epoch 350/1000
1s - loss: 0.0034 - mse: 3.0026 - val_loss: 0.0072 - val_mse: 6.2460
Epoch 351/1000
1s - loss: 0.0034 - mse: 2.9983 - val_loss: 0.0072 - val_mse: 6.2469
Epoch 352/1000
1s - loss: 0.0034 - mse: 2.9941 - val_loss: 0.0072 - val_mse: 6.2476
Epoch 353/1000
1s - loss: 0.0034 - mse: 2.9898 - val_loss: 0.0072 - val_mse: 6.2460
Epoch 354/1000
1s - loss: 0.0034 - mse: 2.9855 - val_loss: 0.0072 - val_mse: 6.2417
Epoch 355/1000
1s - loss: 0.0034 - mse: 2.9812 - val_loss: 0.0072 - val_mse: 6.2358
Epoch 356/1000
1s - loss: 0.0034 - mse: 2.9769 - val_loss: 0.0072 - val_mse: 6.2302
Epoch 357/1000

Epoch 00356: reducing learning rate to 0.000576480140444.
1s - loss: 0.0034 - mse: 2.9727 - val_loss: 0.0071 - val_mse: 6.2259
Epoch 358/1000
1s - loss: 0.0034 - mse: 2.9684 - val_loss: 0.0071 - val_mse: 6.2238
Epoch 359/1000
1s - loss: 0.0034 - mse: 2.9654 - val_loss: 0.0071 - val_mse: 6.2225
Epoch 360/1000
1s - loss: 0.0034 - mse: 2.9624 - val_loss: 0.0071 - val_mse: 6.2209
Epoch 361/1000
1s - loss: 0.0034 - mse: 2.9594 - val_loss: 0.0071 - val_mse: 6.2190
Epoch 362/1000
1s - loss: 0.0034 - mse: 2.9564 - val_loss: 0.0071 - val_mse: 6.2165
Epoch 363/1000
1s - loss: 0.0034 - mse: 2.9534 - val_loss: 0.0071 - val_mse: 6.2134
Epoch 364/1000
1s - loss: 0.0034 - mse: 2.9503 - val_loss: 0.0071 - val_mse: 6.2107
Epoch 365/1000
1s - loss: 0.0034 - mse: 2.9473 - val_loss: 0.0071 - val_mse: 6.2087
Epoch 366/1000
1s - loss: 0.0034 - mse: 2.9443 - val_loss: 0.0071 - val_mse: 6.2066
Epoch 367/1000
1s - loss: 0.0034 - mse: 2.9412 - val_loss: 0.0071 - val_mse: 6.2045
Epoch 368/1000
1s - loss: 0.0034 - mse: 2.9382 - val_loss: 0.0071 - val_mse: 6.2022
Epoch 369/1000
1s - loss: 0.0034 - mse: 2.9352 - val_loss: 0.0071 - val_mse: 6.1989
Epoch 370/1000
1s - loss: 0.0034 - mse: 2.9321 - val_loss: 0.0071 - val_mse: 6.1947
Epoch 371/1000

Epoch 00370: reducing learning rate to 0.000403536082013.
1s - loss: 0.0034 - mse: 2.9291 - val_loss: 0.0071 - val_mse: 6.1916
Epoch 372/1000
1s - loss: 0.0034 - mse: 2.9261 - val_loss: 0.0071 - val_mse: 6.1903
Epoch 373/1000
1s - loss: 0.0034 - mse: 2.9239 - val_loss: 0.0071 - val_mse: 6.1889
Epoch 374/1000
1s - loss: 0.0034 - mse: 2.9218 - val_loss: 0.0071 - val_mse: 6.1881
Epoch 375/1000
1s - loss: 0.0034 - mse: 2.9197 - val_loss: 0.0071 - val_mse: 6.1879
Epoch 376/1000
1s - loss: 0.0034 - mse: 2.9176 - val_loss: 0.0071 - val_mse: 6.1876
[{'loss': 0.0033503014128655195, 'width0': 135, 'width1': 75, 'val_mse': 6.1875839233398438, 'mse': 2.9175732135772705, 'val_loss': 0.007105313241481781, 'dropout1': 0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_5 (LSTM)                (None, None, 135)         74520     
_________________________________________________________________
lstm_6 (LSTM)                (None, None, 100)         94400     
_________________________________________________________________
time_distributed_3 (TimeDist (None, None, 1)           101       
=================================================================
Total params: 169,021
Trainable params: 169,021
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.0021 - mse: 872.7087 - val_loss: 1.4950 - val_mse: 1301.9291
Epoch 2/1000
1s - loss: 1.5226 - mse: 1325.9220 - val_loss: 0.3037 - val_mse: 264.4788
Epoch 3/1000
1s - loss: 0.3010 - mse: 262.0965 - val_loss: 0.2465 - val_mse: 214.6238
Epoch 4/1000
1s - loss: 0.2499 - mse: 217.5805 - val_loss: 0.1315 - val_mse: 114.5068
Epoch 5/1000
1s - loss: 0.1329 - mse: 115.7124 - val_loss: 0.2429 - val_mse: 211.5253
Epoch 6/1000
1s - loss: 0.2441 - mse: 212.5704 - val_loss: 0.1675 - val_mse: 145.8399
Epoch 7/1000
1s - loss: 0.1575 - mse: 137.1647 - val_loss: 0.1399 - val_mse: 121.8484
Epoch 8/1000
1s - loss: 0.1305 - mse: 113.6011 - val_loss: 0.1075 - val_mse: 93.6427
Epoch 9/1000
1s - loss: 0.0997 - mse: 86.8615 - val_loss: 0.1372 - val_mse: 119.4750
Epoch 10/1000
1s - loss: 0.1289 - mse: 112.2385 - val_loss: 0.1140 - val_mse: 99.2988
Epoch 11/1000
1s - loss: 0.1044 - mse: 90.9283 - val_loss: 0.0919 - val_mse: 80.0108
Epoch 12/1000
1s - loss: 0.0832 - mse: 72.4914 - val_loss: 0.0960 - val_mse: 83.6027
Epoch 13/1000
1s - loss: 0.0891 - mse: 77.5638 - val_loss: 0.0931 - val_mse: 81.0446
Epoch 14/1000
1s - loss: 0.0874 - mse: 76.0804 - val_loss: 0.0833 - val_mse: 72.5159
Epoch 15/1000
1s - loss: 0.0789 - mse: 68.6863 - val_loss: 0.0719 - val_mse: 62.5918
Epoch 16/1000
1s - loss: 0.0682 - mse: 59.3855 - val_loss: 0.0602 - val_mse: 52.3989
Epoch 17/1000
1s - loss: 0.0562 - mse: 48.9190 - val_loss: 0.0587 - val_mse: 51.1060
Epoch 18/1000
1s - loss: 0.0545 - mse: 47.4758 - val_loss: 0.0644 - val_mse: 56.1171
Epoch 19/1000
1s - loss: 0.0608 - mse: 52.9065 - val_loss: 0.0653 - val_mse: 56.8832
Epoch 20/1000
1s - loss: 0.0627 - mse: 54.5606 - val_loss: 0.0590 - val_mse: 51.4161
Epoch 21/1000
1s - loss: 0.0574 - mse: 50.0231 - val_loss: 0.0535 - val_mse: 46.5533
Epoch 22/1000
1s - loss: 0.0525 - mse: 45.6986 - val_loss: 0.0526 - val_mse: 45.7974
Epoch 23/1000
1s - loss: 0.0517 - mse: 45.0409 - val_loss: 0.0530 - val_mse: 46.1630
Epoch 24/1000
1s - loss: 0.0519 - mse: 45.1910 - val_loss: 0.0512 - val_mse: 44.6162
Epoch 25/1000
1s - loss: 0.0498 - mse: 43.3292 - val_loss: 0.0481 - val_mse: 41.8687
Epoch 26/1000
1s - loss: 0.0464 - mse: 40.4141 - val_loss: 0.0455 - val_mse: 39.6016
Epoch 27/1000
1s - loss: 0.0437 - mse: 38.0929 - val_loss: 0.0441 - val_mse: 38.3861
Epoch 28/1000
1s - loss: 0.0422 - mse: 36.7072 - val_loss: 0.0434 - val_mse: 37.8191
Epoch 29/1000
1s - loss: 0.0412 - mse: 35.8491 - val_loss: 0.0424 - val_mse: 36.9226
Epoch 30/1000
1s - loss: 0.0399 - mse: 34.7601 - val_loss: 0.0405 - val_mse: 35.2968
Epoch 31/1000
1s - loss: 0.0380 - mse: 33.1186 - val_loss: 0.0387 - val_mse: 33.7052
Epoch 32/1000
1s - loss: 0.0362 - mse: 31.5574 - val_loss: 0.0376 - val_mse: 32.7239
Epoch 33/1000
1s - loss: 0.0351 - mse: 30.5491 - val_loss: 0.0365 - val_mse: 31.8213
Epoch 34/1000
1s - loss: 0.0340 - mse: 29.6196 - val_loss: 0.0349 - val_mse: 30.3559
Epoch 35/1000
1s - loss: 0.0324 - mse: 28.2283 - val_loss: 0.0329 - val_mse: 28.6829
Epoch 36/1000
1s - loss: 0.0307 - mse: 26.7561 - val_loss: 0.0317 - val_mse: 27.5695
Epoch 37/1000
1s - loss: 0.0297 - mse: 25.8585 - val_loss: 0.0310 - val_mse: 26.9605
Epoch 38/1000
1s - loss: 0.0291 - mse: 25.3384 - val_loss: 0.0300 - val_mse: 26.0993
Epoch 39/1000
1s - loss: 0.0281 - mse: 24.4273 - val_loss: 0.0285 - val_mse: 24.7875
Epoch 40/1000
1s - loss: 0.0264 - mse: 23.0128 - val_loss: 0.0271 - val_mse: 23.6405
Epoch 41/1000
1s - loss: 0.0250 - mse: 21.7818 - val_loss: 0.0265 - val_mse: 23.0595
Epoch 42/1000
1s - loss: 0.0243 - mse: 21.1627 - val_loss: 0.0261 - val_mse: 22.7579
Epoch 43/1000
1s - loss: 0.0240 - mse: 20.8614 - val_loss: 0.0255 - val_mse: 22.2198
Epoch 44/1000
1s - loss: 0.0234 - mse: 20.3512 - val_loss: 0.0244 - val_mse: 21.2597
Epoch 45/1000
1s - loss: 0.0223 - mse: 19.4516 - val_loss: 0.0232 - val_mse: 20.2156
Epoch 46/1000
1s - loss: 0.0213 - mse: 18.5223 - val_loss: 0.0224 - val_mse: 19.5230
Epoch 47/1000
1s - loss: 0.0207 - mse: 17.9857 - val_loss: 0.0221 - val_mse: 19.2396
Epoch 48/1000
1s - loss: 0.0205 - mse: 17.8461 - val_loss: 0.0217 - val_mse: 18.9227
Epoch 49/1000
1s - loss: 0.0202 - mse: 17.5998 - val_loss: 0.0211 - val_mse: 18.3934
Epoch 50/1000
1s - loss: 0.0196 - mse: 17.0512 - val_loss: 0.0207 - val_mse: 17.9889
Epoch 51/1000
1s - loss: 0.0190 - mse: 16.5723 - val_loss: 0.0205 - val_mse: 17.8230
Epoch 52/1000
1s - loss: 0.0188 - mse: 16.3291 - val_loss: 0.0202 - val_mse: 17.6222
Epoch 53/1000
1s - loss: 0.0185 - mse: 16.0744 - val_loss: 0.0198 - val_mse: 17.2789
Epoch 54/1000
1s - loss: 0.0180 - mse: 15.6966 - val_loss: 0.0195 - val_mse: 16.9677
Epoch 55/1000
1s - loss: 0.0176 - mse: 15.3596 - val_loss: 0.0193 - val_mse: 16.7982
Epoch 56/1000
1s - loss: 0.0174 - mse: 15.1676 - val_loss: 0.0191 - val_mse: 16.6629
Epoch 57/1000
1s - loss: 0.0172 - mse: 15.0153 - val_loss: 0.0189 - val_mse: 16.4431
Epoch 58/1000
1s - loss: 0.0170 - mse: 14.7903 - val_loss: 0.0186 - val_mse: 16.1865
Epoch 59/1000
1s - loss: 0.0167 - mse: 14.5400 - val_loss: 0.0184 - val_mse: 15.9900
Epoch 60/1000
1s - loss: 0.0165 - mse: 14.3579 - val_loss: 0.0182 - val_mse: 15.8192
Epoch 61/1000
1s - loss: 0.0163 - mse: 14.2133 - val_loss: 0.0179 - val_mse: 15.5743
Epoch 62/1000
1s - loss: 0.0161 - mse: 14.0109 - val_loss: 0.0175 - val_mse: 15.2695
Epoch 63/1000
1s - loss: 0.0158 - mse: 13.7562 - val_loss: 0.0173 - val_mse: 15.0283
Epoch 64/1000
1s - loss: 0.0156 - mse: 13.5518 - val_loss: 0.0171 - val_mse: 14.8989
Epoch 65/1000
1s - loss: 0.0154 - mse: 13.4312 - val_loss: 0.0170 - val_mse: 14.7853
Epoch 66/1000
1s - loss: 0.0153 - mse: 13.3031 - val_loss: 0.0168 - val_mse: 14.6159
Epoch 67/1000
1s - loss: 0.0151 - mse: 13.1135 - val_loss: 0.0166 - val_mse: 14.4320
Epoch 68/1000
1s - loss: 0.0148 - mse: 12.9224 - val_loss: 0.0164 - val_mse: 14.2682
Epoch 69/1000
1s - loss: 0.0147 - mse: 12.7781 - val_loss: 0.0162 - val_mse: 14.0906
Epoch 70/1000
1s - loss: 0.0145 - mse: 12.6483 - val_loss: 0.0159 - val_mse: 13.8797
Epoch 71/1000
1s - loss: 0.0143 - mse: 12.4963 - val_loss: 0.0157 - val_mse: 13.6794
Epoch 72/1000
1s - loss: 0.0142 - mse: 12.3365 - val_loss: 0.0155 - val_mse: 13.5353
Epoch 73/1000
1s - loss: 0.0140 - mse: 12.1960 - val_loss: 0.0154 - val_mse: 13.4347
Epoch 74/1000
1s - loss: 0.0139 - mse: 12.0673 - val_loss: 0.0153 - val_mse: 13.3375
Epoch 75/1000
1s - loss: 0.0137 - mse: 11.9321 - val_loss: 0.0152 - val_mse: 13.2276
Epoch 76/1000
1s - loss: 0.0135 - mse: 11.7956 - val_loss: 0.0151 - val_mse: 13.1080
Epoch 77/1000
1s - loss: 0.0134 - mse: 11.6715 - val_loss: 0.0149 - val_mse: 12.9700
Epoch 78/1000
1s - loss: 0.0133 - mse: 11.5493 - val_loss: 0.0147 - val_mse: 12.8106
Epoch 79/1000
1s - loss: 0.0131 - mse: 11.4163 - val_loss: 0.0145 - val_mse: 12.6514
Epoch 80/1000
1s - loss: 0.0130 - mse: 11.2840 - val_loss: 0.0144 - val_mse: 12.5145
Epoch 81/1000
1s - loss: 0.0128 - mse: 11.1662 - val_loss: 0.0142 - val_mse: 12.3998
Epoch 82/1000
1s - loss: 0.0127 - mse: 11.0562 - val_loss: 0.0141 - val_mse: 12.2934
Epoch 83/1000
1s - loss: 0.0126 - mse: 10.9400 - val_loss: 0.0140 - val_mse: 12.1887
Epoch 84/1000
1s - loss: 0.0124 - mse: 10.8192 - val_loss: 0.0139 - val_mse: 12.0839
Epoch 85/1000
1s - loss: 0.0123 - mse: 10.7056 - val_loss: 0.0137 - val_mse: 11.9700
Epoch 86/1000
1s - loss: 0.0122 - mse: 10.5989 - val_loss: 0.0136 - val_mse: 11.8377
Epoch 87/1000
1s - loss: 0.0120 - mse: 10.4891 - val_loss: 0.0134 - val_mse: 11.6988
Epoch 88/1000
1s - loss: 0.0119 - mse: 10.3772 - val_loss: 0.0133 - val_mse: 11.5766
Epoch 89/1000
1s - loss: 0.0118 - mse: 10.2726 - val_loss: 0.0132 - val_mse: 11.4754
Epoch 90/1000
1s - loss: 0.0117 - mse: 10.1726 - val_loss: 0.0131 - val_mse: 11.3838
Epoch 91/1000
1s - loss: 0.0116 - mse: 10.0693 - val_loss: 0.0130 - val_mse: 11.2947
Epoch 92/1000
1s - loss: 0.0114 - mse: 9.9645 - val_loss: 0.0129 - val_mse: 11.2103
Epoch 93/1000
1s - loss: 0.0113 - mse: 9.8650 - val_loss: 0.0128 - val_mse: 11.1293
Epoch 94/1000
1s - loss: 0.0112 - mse: 9.7696 - val_loss: 0.0127 - val_mse: 11.0473
Epoch 95/1000
1s - loss: 0.0111 - mse: 9.6725 - val_loss: 0.0126 - val_mse: 10.9649
Epoch 96/1000
1s - loss: 0.0110 - mse: 9.5763 - val_loss: 0.0125 - val_mse: 10.8822
Epoch 97/1000
1s - loss: 0.0109 - mse: 9.4849 - val_loss: 0.0124 - val_mse: 10.7937
Epoch 98/1000
1s - loss: 0.0108 - mse: 9.3934 - val_loss: 0.0123 - val_mse: 10.7019
Epoch 99/1000
1s - loss: 0.0107 - mse: 9.3000 - val_loss: 0.0122 - val_mse: 10.6158
Epoch 100/1000
1s - loss: 0.0106 - mse: 9.2083 - val_loss: 0.0121 - val_mse: 10.5359
Epoch 101/1000
1s - loss: 0.0105 - mse: 9.1192 - val_loss: 0.0120 - val_mse: 10.4535
Epoch 102/1000
1s - loss: 0.0104 - mse: 9.0295 - val_loss: 0.0119 - val_mse: 10.3682
Epoch 103/1000
1s - loss: 0.0103 - mse: 8.9395 - val_loss: 0.0118 - val_mse: 10.2856
Epoch 104/1000
1s - loss: 0.0102 - mse: 8.8517 - val_loss: 0.0117 - val_mse: 10.2068
Epoch 105/1000
1s - loss: 0.0101 - mse: 8.7637 - val_loss: 0.0116 - val_mse: 10.1286
Epoch 106/1000
1s - loss: 0.0100 - mse: 8.6738 - val_loss: 0.0115 - val_mse: 10.0504
Epoch 107/1000
1s - loss: 0.0099 - mse: 8.5840 - val_loss: 0.0115 - val_mse: 9.9729
Epoch 108/1000
1s - loss: 0.0098 - mse: 8.4952 - val_loss: 0.0114 - val_mse: 9.8956
Epoch 109/1000
1s - loss: 0.0097 - mse: 8.4057 - val_loss: 0.0113 - val_mse: 9.8176
Epoch 110/1000
1s - loss: 0.0095 - mse: 8.3162 - val_loss: 0.0112 - val_mse: 9.7363
Epoch 111/1000
1s - loss: 0.0094 - mse: 8.2275 - val_loss: 0.0111 - val_mse: 9.6516
Epoch 112/1000
1s - loss: 0.0093 - mse: 8.1385 - val_loss: 0.0110 - val_mse: 9.5665
Epoch 113/1000
1s - loss: 0.0092 - mse: 8.0494 - val_loss: 0.0109 - val_mse: 9.4830
Epoch 114/1000
1s - loss: 0.0091 - mse: 7.9604 - val_loss: 0.0108 - val_mse: 9.3967
Epoch 115/1000
1s - loss: 0.0090 - mse: 7.8714 - val_loss: 0.0107 - val_mse: 9.3064
Epoch 116/1000
1s - loss: 0.0089 - mse: 7.7823 - val_loss: 0.0106 - val_mse: 9.2158
Epoch 117/1000
1s - loss: 0.0088 - mse: 7.6939 - val_loss: 0.0105 - val_mse: 9.1274
Epoch 118/1000
1s - loss: 0.0087 - mse: 7.6054 - val_loss: 0.0104 - val_mse: 9.0416
Epoch 119/1000
1s - loss: 0.0086 - mse: 7.5165 - val_loss: 0.0103 - val_mse: 8.9571
Epoch 120/1000
1s - loss: 0.0085 - mse: 7.4271 - val_loss: 0.0102 - val_mse: 8.8745
Epoch 121/1000
1s - loss: 0.0084 - mse: 7.3375 - val_loss: 0.0101 - val_mse: 8.7932
Epoch 122/1000
1s - loss: 0.0083 - mse: 7.2481 - val_loss: 0.0100 - val_mse: 8.7078
Epoch 123/1000
1s - loss: 0.0082 - mse: 7.1587 - val_loss: 0.0099 - val_mse: 8.6193
Epoch 124/1000
2s - loss: 0.0081 - mse: 7.0705 - val_loss: 0.0098 - val_mse: 8.5326
Epoch 125/1000
1s - loss: 0.0080 - mse: 6.9824 - val_loss: 0.0097 - val_mse: 8.4491
Epoch 126/1000
1s - loss: 0.0079 - mse: 6.8953 - val_loss: 0.0096 - val_mse: 8.3653
Epoch 127/1000
1s - loss: 0.0078 - mse: 6.8086 - val_loss: 0.0095 - val_mse: 8.2834
Epoch 128/1000
1s - loss: 0.0077 - mse: 6.7236 - val_loss: 0.0094 - val_mse: 8.2036
Epoch 129/1000
1s - loss: 0.0076 - mse: 6.6400 - val_loss: 0.0093 - val_mse: 8.1238
Epoch 130/1000
1s - loss: 0.0075 - mse: 6.5581 - val_loss: 0.0092 - val_mse: 8.0468
Epoch 131/1000
1s - loss: 0.0074 - mse: 6.4782 - val_loss: 0.0092 - val_mse: 7.9740
Epoch 132/1000
1s - loss: 0.0073 - mse: 6.4000 - val_loss: 0.0091 - val_mse: 7.9019
Epoch 133/1000
1s - loss: 0.0073 - mse: 6.3238 - val_loss: 0.0090 - val_mse: 7.8341
Epoch 134/1000
1s - loss: 0.0072 - mse: 6.2508 - val_loss: 0.0089 - val_mse: 7.7706
Epoch 135/1000
1s - loss: 0.0071 - mse: 6.1819 - val_loss: 0.0089 - val_mse: 7.7128
Epoch 136/1000
1s - loss: 0.0070 - mse: 6.1194 - val_loss: 0.0088 - val_mse: 7.6564
Epoch 137/1000
1s - loss: 0.0070 - mse: 6.0584 - val_loss: 0.0087 - val_mse: 7.5978
Epoch 138/1000
1s - loss: 0.0069 - mse: 5.9991 - val_loss: 0.0087 - val_mse: 7.5392
Epoch 139/1000
1s - loss: 0.0068 - mse: 5.9416 - val_loss: 0.0086 - val_mse: 7.4784
Epoch 140/1000
1s - loss: 0.0068 - mse: 5.8862 - val_loss: 0.0085 - val_mse: 7.4192
Epoch 141/1000
1s - loss: 0.0067 - mse: 5.8319 - val_loss: 0.0085 - val_mse: 7.3640
Epoch 142/1000
1s - loss: 0.0066 - mse: 5.7784 - val_loss: 0.0084 - val_mse: 7.3087
Epoch 143/1000
1s - loss: 0.0066 - mse: 5.7258 - val_loss: 0.0083 - val_mse: 7.2557
Epoch 144/1000
1s - loss: 0.0065 - mse: 5.6747 - val_loss: 0.0083 - val_mse: 7.2019
Epoch 145/1000
1s - loss: 0.0065 - mse: 5.6246 - val_loss: 0.0082 - val_mse: 7.1485
Epoch 146/1000
1s - loss: 0.0064 - mse: 5.5754 - val_loss: 0.0082 - val_mse: 7.1008
Epoch 147/1000
1s - loss: 0.0063 - mse: 5.5275 - val_loss: 0.0081 - val_mse: 7.0551
Epoch 148/1000
1s - loss: 0.0063 - mse: 5.4808 - val_loss: 0.0080 - val_mse: 7.0102
Epoch 149/1000
1s - loss: 0.0062 - mse: 5.4348 - val_loss: 0.0080 - val_mse: 6.9666
Epoch 150/1000
1s - loss: 0.0062 - mse: 5.3892 - val_loss: 0.0079 - val_mse: 6.9222
Epoch 151/1000
1s - loss: 0.0061 - mse: 5.3439 - val_loss: 0.0079 - val_mse: 6.8813
Epoch 152/1000
1s - loss: 0.0061 - mse: 5.2994 - val_loss: 0.0079 - val_mse: 6.8401
Epoch 153/1000
1s - loss: 0.0060 - mse: 5.2552 - val_loss: 0.0078 - val_mse: 6.7980
Epoch 154/1000
1s - loss: 0.0060 - mse: 5.2115 - val_loss: 0.0078 - val_mse: 6.7553
Epoch 155/1000
1s - loss: 0.0059 - mse: 5.1678 - val_loss: 0.0077 - val_mse: 6.7097
Epoch 156/1000
1s - loss: 0.0059 - mse: 5.1240 - val_loss: 0.0077 - val_mse: 6.6678
Epoch 157/1000
1s - loss: 0.0058 - mse: 5.0803 - val_loss: 0.0076 - val_mse: 6.6252
Epoch 158/1000
1s - loss: 0.0058 - mse: 5.0362 - val_loss: 0.0076 - val_mse: 6.5847
Epoch 159/1000
1s - loss: 0.0057 - mse: 4.9918 - val_loss: 0.0075 - val_mse: 6.5400
Epoch 160/1000
1s - loss: 0.0057 - mse: 4.9473 - val_loss: 0.0075 - val_mse: 6.4995
Epoch 161/1000
1s - loss: 0.0056 - mse: 4.9032 - val_loss: 0.0074 - val_mse: 6.4562
Epoch 162/1000
1s - loss: 0.0056 - mse: 4.8597 - val_loss: 0.0074 - val_mse: 6.4208
Epoch 163/1000
1s - loss: 0.0055 - mse: 4.8162 - val_loss: 0.0073 - val_mse: 6.3763
Epoch 164/1000
1s - loss: 0.0055 - mse: 4.7728 - val_loss: 0.0073 - val_mse: 6.3417
Epoch 165/1000
1s - loss: 0.0054 - mse: 4.7295 - val_loss: 0.0072 - val_mse: 6.2881
Epoch 166/1000
1s - loss: 0.0054 - mse: 4.6864 - val_loss: 0.0072 - val_mse: 6.2647
Epoch 167/1000
1s - loss: 0.0053 - mse: 4.6443 - val_loss: 0.0071 - val_mse: 6.1997
Epoch 168/1000
1s - loss: 0.0053 - mse: 4.6062 - val_loss: 0.0072 - val_mse: 6.2282
Epoch 169/1000
1s - loss: 0.0053 - mse: 4.5835 - val_loss: 0.0071 - val_mse: 6.1559
Epoch 170/1000
1s - loss: 0.0053 - mse: 4.6119 - val_loss: 0.0075 - val_mse: 6.5319
Epoch 171/1000
1s - loss: 0.0056 - mse: 4.8421 - val_loss: 0.0079 - val_mse: 6.8837
Epoch 172/1000

Epoch 00171: reducing learning rate to 0.00699999984354.
1s - loss: 0.0064 - mse: 5.5898 - val_loss: 0.0107 - val_mse: 9.3174
Epoch 173/1000
1s - loss: 0.0088 - mse: 7.6861 - val_loss: 0.0072 - val_mse: 6.2378
Epoch 174/1000
1s - loss: 0.0055 - mse: 4.8093 - val_loss: 0.0083 - val_mse: 7.2267
Epoch 175/1000
1s - loss: 0.0070 - mse: 6.0634 - val_loss: 0.0083 - val_mse: 7.2334
Epoch 176/1000
1s - loss: 0.0064 - mse: 5.6032 - val_loss: 0.0079 - val_mse: 6.8806
Epoch 177/1000
1s - loss: 0.0061 - mse: 5.2824 - val_loss: 0.0076 - val_mse: 6.5804
Epoch 178/1000
1s - loss: 0.0062 - mse: 5.3850 - val_loss: 0.0071 - val_mse: 6.1786
Epoch 179/1000
1s - loss: 0.0056 - mse: 4.8693 - val_loss: 0.0077 - val_mse: 6.7232
Epoch 180/1000
1s - loss: 0.0058 - mse: 5.0909 - val_loss: 0.0075 - val_mse: 6.5296
Epoch 181/1000
1s - loss: 0.0056 - mse: 4.8792 - val_loss: 0.0070 - val_mse: 6.0777
Epoch 182/1000
1s - loss: 0.0054 - mse: 4.6888 - val_loss: 0.0071 - val_mse: 6.1898
Epoch 183/1000
1s - loss: 0.0056 - mse: 4.8335 - val_loss: 0.0070 - val_mse: 6.1030
Epoch 184/1000
1s - loss: 0.0051 - mse: 4.4394 - val_loss: 0.0075 - val_mse: 6.5127
Epoch 185/1000
1s - loss: 0.0055 - mse: 4.8025 - val_loss: 0.0066 - val_mse: 5.7768
Epoch 186/1000
1s - loss: 0.0048 - mse: 4.2099 - val_loss: 0.0070 - val_mse: 6.1319
Epoch 187/1000
1s - loss: 0.0054 - mse: 4.7187 - val_loss: 0.0066 - val_mse: 5.7592
Epoch 188/1000
1s - loss: 0.0047 - mse: 4.1155 - val_loss: 0.0072 - val_mse: 6.2818
Epoch 189/1000
1s - loss: 0.0052 - mse: 4.5507 - val_loss: 0.0066 - val_mse: 5.7266
Epoch 190/1000

Epoch 00189: reducing learning rate to 0.00489999982528.
1s - loss: 0.0047 - mse: 4.0749 - val_loss: 0.0067 - val_mse: 5.8374
Epoch 191/1000
1s - loss: 0.0050 - mse: 4.3756 - val_loss: 0.0065 - val_mse: 5.6536
Epoch 192/1000
1s - loss: 0.0047 - mse: 4.1181 - val_loss: 0.0066 - val_mse: 5.7321
Epoch 193/1000
1s - loss: 0.0047 - mse: 4.0595 - val_loss: 0.0068 - val_mse: 5.9291
Epoch 194/1000
1s - loss: 0.0048 - mse: 4.2221 - val_loss: 0.0064 - val_mse: 5.5962
Epoch 195/1000
1s - loss: 0.0045 - mse: 3.9449 - val_loss: 0.0064 - val_mse: 5.5845
Epoch 196/1000
1s - loss: 0.0047 - mse: 4.0514 - val_loss: 0.0064 - val_mse: 5.5534
Epoch 197/1000
1s - loss: 0.0046 - mse: 4.0234 - val_loss: 0.0063 - val_mse: 5.4960
Epoch 198/1000
1s - loss: 0.0044 - mse: 3.8629 - val_loss: 0.0065 - val_mse: 5.6709
Epoch 199/1000
1s - loss: 0.0046 - mse: 3.9921 - val_loss: 0.0063 - val_mse: 5.4954
Epoch 200/1000
1s - loss: 0.0044 - mse: 3.8467 - val_loss: 0.0062 - val_mse: 5.3955
Epoch 201/1000
1s - loss: 0.0044 - mse: 3.8333 - val_loss: 0.0062 - val_mse: 5.4039
Epoch 202/1000
1s - loss: 0.0044 - mse: 3.8674 - val_loss: 0.0061 - val_mse: 5.3406
Epoch 203/1000
1s - loss: 0.0043 - mse: 3.7298 - val_loss: 0.0063 - val_mse: 5.4515
Epoch 204/1000
1s - loss: 0.0044 - mse: 3.7927 - val_loss: 0.0061 - val_mse: 5.3544
Epoch 205/1000
1s - loss: 0.0043 - mse: 3.7146 - val_loss: 0.0060 - val_mse: 5.2437
Epoch 206/1000
1s - loss: 0.0042 - mse: 3.6725 - val_loss: 0.0060 - val_mse: 5.2372
Epoch 207/1000
1s - loss: 0.0042 - mse: 3.6950 - val_loss: 0.0060 - val_mse: 5.1935
Epoch 208/1000
1s - loss: 0.0041 - mse: 3.5964 - val_loss: 0.0060 - val_mse: 5.2653
Epoch 209/1000
1s - loss: 0.0042 - mse: 3.6242 - val_loss: 0.0060 - val_mse: 5.1955
Epoch 210/1000
1s - loss: 0.0041 - mse: 3.5648 - val_loss: 0.0059 - val_mse: 5.1152
Epoch 211/1000
1s - loss: 0.0041 - mse: 3.5341 - val_loss: 0.0059 - val_mse: 5.0965
Epoch 212/1000
1s - loss: 0.0041 - mse: 3.5305 - val_loss: 0.0058 - val_mse: 5.0720
Epoch 213/1000
1s - loss: 0.0040 - mse: 3.4622 - val_loss: 0.0059 - val_mse: 5.1082
Epoch 214/1000
1s - loss: 0.0040 - mse: 3.4712 - val_loss: 0.0058 - val_mse: 5.0309
Epoch 215/1000
1s - loss: 0.0039 - mse: 3.4115 - val_loss: 0.0057 - val_mse: 4.9788
Epoch 216/1000
1s - loss: 0.0039 - mse: 3.3978 - val_loss: 0.0057 - val_mse: 4.9528
Epoch 217/1000
1s - loss: 0.0039 - mse: 3.3669 - val_loss: 0.0057 - val_mse: 4.9515
Epoch 218/1000
1s - loss: 0.0038 - mse: 3.3269 - val_loss: 0.0057 - val_mse: 4.9536
Epoch 219/1000
1s - loss: 0.0038 - mse: 3.3162 - val_loss: 0.0056 - val_mse: 4.8795
Epoch 220/1000
1s - loss: 0.0038 - mse: 3.2663 - val_loss: 0.0056 - val_mse: 4.8457
Epoch 221/1000
1s - loss: 0.0037 - mse: 3.2576 - val_loss: 0.0055 - val_mse: 4.8189
Epoch 222/1000
1s - loss: 0.0037 - mse: 3.2133 - val_loss: 0.0055 - val_mse: 4.8273
Epoch 223/1000
1s - loss: 0.0037 - mse: 3.1944 - val_loss: 0.0055 - val_mse: 4.7937
Epoch 224/1000
1s - loss: 0.0036 - mse: 3.1611 - val_loss: 0.0054 - val_mse: 4.7434
Epoch 225/1000
1s - loss: 0.0036 - mse: 3.1314 - val_loss: 0.0054 - val_mse: 4.7184
Epoch 226/1000
1s - loss: 0.0036 - mse: 3.1073 - val_loss: 0.0054 - val_mse: 4.7076
Epoch 227/1000
1s - loss: 0.0035 - mse: 3.0716 - val_loss: 0.0054 - val_mse: 4.6988
Epoch 228/1000
1s - loss: 0.0035 - mse: 3.0511 - val_loss: 0.0053 - val_mse: 4.6475
Epoch 229/1000
1s - loss: 0.0035 - mse: 3.0135 - val_loss: 0.0053 - val_mse: 4.6179
Epoch 230/1000
1s - loss: 0.0034 - mse: 2.9944 - val_loss: 0.0053 - val_mse: 4.6008
Epoch 231/1000
1s - loss: 0.0034 - mse: 2.9597 - val_loss: 0.0053 - val_mse: 4.5991
Epoch 232/1000
1s - loss: 0.0034 - mse: 2.9397 - val_loss: 0.0052 - val_mse: 4.5628
Epoch 233/1000
2s - loss: 0.0033 - mse: 2.9078 - val_loss: 0.0052 - val_mse: 4.5282
Epoch 234/1000
1s - loss: 0.0033 - mse: 2.8859 - val_loss: 0.0052 - val_mse: 4.5067
Epoch 235/1000
1s - loss: 0.0033 - mse: 2.8571 - val_loss: 0.0052 - val_mse: 4.4995
Epoch 236/1000
1s - loss: 0.0033 - mse: 2.8336 - val_loss: 0.0051 - val_mse: 4.4739
Epoch 237/1000
1s - loss: 0.0032 - mse: 2.8067 - val_loss: 0.0051 - val_mse: 4.4400
Epoch 238/1000
1s - loss: 0.0032 - mse: 2.7814 - val_loss: 0.0051 - val_mse: 4.4194
Epoch 239/1000
1s - loss: 0.0032 - mse: 2.7556 - val_loss: 0.0051 - val_mse: 4.4097
Epoch 240/1000
1s - loss: 0.0031 - mse: 2.7296 - val_loss: 0.0050 - val_mse: 4.3895
Epoch 241/1000
1s - loss: 0.0031 - mse: 2.7044 - val_loss: 0.0050 - val_mse: 4.3566
Epoch 242/1000
1s - loss: 0.0031 - mse: 2.6777 - val_loss: 0.0050 - val_mse: 4.3339
Epoch 243/1000
1s - loss: 0.0030 - mse: 2.6525 - val_loss: 0.0050 - val_mse: 4.3217
Epoch 244/1000
1s - loss: 0.0030 - mse: 2.6256 - val_loss: 0.0049 - val_mse: 4.3046
Epoch 245/1000
1s - loss: 0.0030 - mse: 2.6011 - val_loss: 0.0049 - val_mse: 4.2753
Epoch 246/1000
1s - loss: 0.0030 - mse: 2.5745 - val_loss: 0.0049 - val_mse: 4.2544
Epoch 247/1000
1s - loss: 0.0029 - mse: 2.5502 - val_loss: 0.0049 - val_mse: 4.2418
Epoch 248/1000
1s - loss: 0.0029 - mse: 2.5239 - val_loss: 0.0049 - val_mse: 4.2243
Epoch 249/1000
1s - loss: 0.0029 - mse: 2.4990 - val_loss: 0.0048 - val_mse: 4.1962
Epoch 250/1000
1s - loss: 0.0028 - mse: 2.4725 - val_loss: 0.0048 - val_mse: 4.1751
Epoch 251/1000
1s - loss: 0.0028 - mse: 2.4474 - val_loss: 0.0048 - val_mse: 4.1620
Epoch 252/1000
1s - loss: 0.0028 - mse: 2.4214 - val_loss: 0.0048 - val_mse: 4.1457
Epoch 253/1000
1s - loss: 0.0028 - mse: 2.3966 - val_loss: 0.0047 - val_mse: 4.1210
Epoch 254/1000
1s - loss: 0.0027 - mse: 2.3706 - val_loss: 0.0047 - val_mse: 4.1022
Epoch 255/1000
1s - loss: 0.0027 - mse: 2.3451 - val_loss: 0.0047 - val_mse: 4.0894
Epoch 256/1000
1s - loss: 0.0027 - mse: 2.3191 - val_loss: 0.0047 - val_mse: 4.0716
Epoch 257/1000
1s - loss: 0.0026 - mse: 2.2934 - val_loss: 0.0046 - val_mse: 4.0488
Epoch 258/1000
1s - loss: 0.0026 - mse: 2.2676 - val_loss: 0.0046 - val_mse: 4.0323
Epoch 259/1000
1s - loss: 0.0026 - mse: 2.2419 - val_loss: 0.0046 - val_mse: 4.0208
Epoch 260/1000
1s - loss: 0.0025 - mse: 2.2165 - val_loss: 0.0046 - val_mse: 4.0031
Epoch 261/1000
1s - loss: 0.0025 - mse: 2.1906 - val_loss: 0.0046 - val_mse: 3.9833
Epoch 262/1000

Epoch 00261: reducing learning rate to 0.00343000004068.
1s - loss: 0.0025 - mse: 2.1650 - val_loss: 0.0046 - val_mse: 3.9686
Epoch 263/1000
1s - loss: 0.0025 - mse: 2.1389 - val_loss: 0.0045 - val_mse: 3.9593
Epoch 264/1000
1s - loss: 0.0024 - mse: 2.1211 - val_loss: 0.0045 - val_mse: 3.9482
Epoch 265/1000
1s - loss: 0.0024 - mse: 2.1036 - val_loss: 0.0045 - val_mse: 3.9354
Epoch 266/1000
1s - loss: 0.0024 - mse: 2.0861 - val_loss: 0.0045 - val_mse: 3.9237
Epoch 267/1000
1s - loss: 0.0024 - mse: 2.0688 - val_loss: 0.0045 - val_mse: 3.9135
Epoch 268/1000
1s - loss: 0.0024 - mse: 2.0513 - val_loss: 0.0045 - val_mse: 3.9032
Epoch 269/1000
1s - loss: 0.0023 - mse: 2.0340 - val_loss: 0.0045 - val_mse: 3.8912
Epoch 270/1000
1s - loss: 0.0023 - mse: 2.0166 - val_loss: 0.0045 - val_mse: 3.8793
Epoch 271/1000
1s - loss: 0.0023 - mse: 1.9995 - val_loss: 0.0044 - val_mse: 3.8695
Epoch 272/1000
1s - loss: 0.0023 - mse: 1.9824 - val_loss: 0.0044 - val_mse: 3.8612
Epoch 273/1000
1s - loss: 0.0023 - mse: 1.9655 - val_loss: 0.0044 - val_mse: 3.8522
Epoch 274/1000
1s - loss: 0.0022 - mse: 1.9486 - val_loss: 0.0044 - val_mse: 3.8424
Epoch 275/1000
1s - loss: 0.0022 - mse: 1.9318 - val_loss: 0.0044 - val_mse: 3.8337
Epoch 276/1000

Epoch 00275: reducing learning rate to 0.00240100002848.
1s - loss: 0.0022 - mse: 1.9152 - val_loss: 0.0044 - val_mse: 3.8263
Epoch 277/1000
1s - loss: 0.0022 - mse: 1.8986 - val_loss: 0.0044 - val_mse: 3.8213
Epoch 278/1000
1s - loss: 0.0022 - mse: 1.8873 - val_loss: 0.0044 - val_mse: 3.8154
Epoch 279/1000
1s - loss: 0.0022 - mse: 1.8760 - val_loss: 0.0044 - val_mse: 3.8092
Epoch 280/1000
1s - loss: 0.0021 - mse: 1.8648 - val_loss: 0.0044 - val_mse: 3.8035
Epoch 281/1000
1s - loss: 0.0021 - mse: 1.8537 - val_loss: 0.0044 - val_mse: 3.7986
Epoch 282/1000
1s - loss: 0.0021 - mse: 1.8429 - val_loss: 0.0044 - val_mse: 3.7940
Epoch 283/1000
1s - loss: 0.0021 - mse: 1.8321 - val_loss: 0.0044 - val_mse: 3.7892
Epoch 284/1000
1s - loss: 0.0021 - mse: 1.8215 - val_loss: 0.0043 - val_mse: 3.7840
Epoch 285/1000
1s - loss: 0.0021 - mse: 1.8108 - val_loss: 0.0043 - val_mse: 3.7789
Epoch 286/1000
1s - loss: 0.0021 - mse: 1.8003 - val_loss: 0.0043 - val_mse: 3.7741
Epoch 287/1000
1s - loss: 0.0021 - mse: 1.7898 - val_loss: 0.0043 - val_mse: 3.7699
Epoch 288/1000
1s - loss: 0.0020 - mse: 1.7795 - val_loss: 0.0043 - val_mse: 3.7654
Epoch 289/1000
1s - loss: 0.0020 - mse: 1.7693 - val_loss: 0.0043 - val_mse: 3.7603
Epoch 290/1000

Epoch 00289: reducing learning rate to 0.00168070008513.
1s - loss: 0.0020 - mse: 1.7592 - val_loss: 0.0043 - val_mse: 3.7551
Epoch 291/1000
1s - loss: 0.0020 - mse: 1.7493 - val_loss: 0.0043 - val_mse: 3.7519
Epoch 292/1000
1s - loss: 0.0020 - mse: 1.7424 - val_loss: 0.0043 - val_mse: 3.7492
Epoch 293/1000
1s - loss: 0.0020 - mse: 1.7356 - val_loss: 0.0043 - val_mse: 3.7467
Epoch 294/1000
1s - loss: 0.0020 - mse: 1.7288 - val_loss: 0.0043 - val_mse: 3.7443
Epoch 295/1000
1s - loss: 0.0020 - mse: 1.7221 - val_loss: 0.0043 - val_mse: 3.7416
Epoch 296/1000
1s - loss: 0.0020 - mse: 1.7154 - val_loss: 0.0043 - val_mse: 3.7389
Epoch 297/1000
1s - loss: 0.0020 - mse: 1.7088 - val_loss: 0.0043 - val_mse: 3.7361
Epoch 298/1000
1s - loss: 0.0020 - mse: 1.7022 - val_loss: 0.0043 - val_mse: 3.7334
Epoch 299/1000
1s - loss: 0.0019 - mse: 1.6957 - val_loss: 0.0043 - val_mse: 3.7308
Epoch 300/1000
1s - loss: 0.0019 - mse: 1.6893 - val_loss: 0.0043 - val_mse: 3.7281
Epoch 301/1000
1s - loss: 0.0019 - mse: 1.6828 - val_loss: 0.0043 - val_mse: 3.7252
Epoch 302/1000
1s - loss: 0.0019 - mse: 1.6764 - val_loss: 0.0043 - val_mse: 3.7224
Epoch 303/1000
1s - loss: 0.0019 - mse: 1.6700 - val_loss: 0.0043 - val_mse: 3.7197
Epoch 304/1000

Epoch 00303: reducing learning rate to 0.00117649007589.
1s - loss: 0.0019 - mse: 1.6637 - val_loss: 0.0043 - val_mse: 3.7173
Epoch 305/1000
1s - loss: 0.0019 - mse: 1.6574 - val_loss: 0.0043 - val_mse: 3.7158
Epoch 306/1000
1s - loss: 0.0019 - mse: 1.6530 - val_loss: 0.0043 - val_mse: 3.7143
Epoch 307/1000
1s - loss: 0.0019 - mse: 1.6487 - val_loss: 0.0043 - val_mse: 3.7128
Epoch 308/1000
1s - loss: 0.0019 - mse: 1.6443 - val_loss: 0.0043 - val_mse: 3.7112
Epoch 309/1000
1s - loss: 0.0019 - mse: 1.6400 - val_loss: 0.0043 - val_mse: 3.7095
Epoch 310/1000
1s - loss: 0.0019 - mse: 1.6357 - val_loss: 0.0043 - val_mse: 3.7078
Epoch 311/1000
1s - loss: 0.0019 - mse: 1.6315 - val_loss: 0.0043 - val_mse: 3.7062
Epoch 312/1000
1s - loss: 0.0019 - mse: 1.6272 - val_loss: 0.0043 - val_mse: 3.7047
Epoch 313/1000
1s - loss: 0.0019 - mse: 1.6230 - val_loss: 0.0043 - val_mse: 3.7032
Epoch 314/1000
1s - loss: 0.0019 - mse: 1.6189 - val_loss: 0.0043 - val_mse: 3.7017
Epoch 315/1000
1s - loss: 0.0019 - mse: 1.6147 - val_loss: 0.0042 - val_mse: 3.7001
Epoch 316/1000
1s - loss: 0.0018 - mse: 1.6106 - val_loss: 0.0042 - val_mse: 3.6984
[{'loss': 0.0033503014128655195, 'width0': 135, 'width1': 75, 'val_mse': 6.1875839233398438, 'mse': 2.9175732135772705, 'val_loss': 0.007105313241481781, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.0018494370160624385, 'width0': 135, 'width1': 100, 'val_mse': 3.698413610458374, 'mse': 1.6105610132217407, 'val_loss': 0.0042469552718102932, 'dropout1': 0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_7 (LSTM)                (None, None, 135)         74520     
_________________________________________________________________
lstm_8 (LSTM)                (None, None, 125)         130500    
_________________________________________________________________
time_distributed_4 (TimeDist (None, None, 1)           126       
=================================================================
Total params: 205,146
Trainable params: 205,146
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.0762 - mse: 937.1887 - val_loss: 1.6855 - val_mse: 1467.7700
Epoch 2/1000
1s - loss: 1.7553 - mse: 1528.6241 - val_loss: 1.4271 - val_mse: 1242.7629
Epoch 3/1000
1s - loss: 1.5003 - mse: 1306.4886 - val_loss: 0.5967 - val_mse: 519.5998
Epoch 4/1000
1s - loss: 0.5839 - mse: 508.5075 - val_loss: 0.5504 - val_mse: 479.3116
Epoch 5/1000
1s - loss: 0.5222 - mse: 454.7095 - val_loss: 0.4274 - val_mse: 372.2094
Epoch 6/1000
1s - loss: 0.4014 - mse: 349.5149 - val_loss: 0.2961 - val_mse: 257.8587
Epoch 7/1000
1s - loss: 0.2767 - mse: 240.9353 - val_loss: 0.2318 - val_mse: 201.8172
Epoch 8/1000
1s - loss: 0.2203 - mse: 191.8293 - val_loss: 0.1561 - val_mse: 135.9707
Epoch 9/1000
1s - loss: 0.1495 - mse: 130.1976 - val_loss: 0.1079 - val_mse: 93.9905
Epoch 10/1000
1s - loss: 0.1035 - mse: 90.0980 - val_loss: 0.1301 - val_mse: 113.2728
Epoch 11/1000
1s - loss: 0.1231 - mse: 107.2229 - val_loss: 0.1343 - val_mse: 116.9952
Epoch 12/1000
1s - loss: 0.1255 - mse: 109.2778 - val_loss: 0.1048 - val_mse: 91.2279
Epoch 13/1000
1s - loss: 0.0958 - mse: 83.3917 - val_loss: 0.1003 - val_mse: 87.3745
Epoch 14/1000
1s - loss: 0.0922 - mse: 80.3176 - val_loss: 0.1077 - val_mse: 93.8020
Epoch 15/1000
1s - loss: 0.1010 - mse: 87.9541 - val_loss: 0.0921 - val_mse: 80.1679
Epoch 16/1000
1s - loss: 0.0851 - mse: 74.1334 - val_loss: 0.0771 - val_mse: 67.1316
Epoch 17/1000
1s - loss: 0.0686 - mse: 59.7697 - val_loss: 0.0740 - val_mse: 64.4681
Epoch 18/1000
1s - loss: 0.0641 - mse: 55.8296 - val_loss: 0.0725 - val_mse: 63.1272
Epoch 19/1000
1s - loss: 0.0624 - mse: 54.3707 - val_loss: 0.0666 - val_mse: 57.9827
Epoch 20/1000
1s - loss: 0.0582 - mse: 50.7148 - val_loss: 0.0608 - val_mse: 52.9148
Epoch 21/1000
1s - loss: 0.0553 - mse: 48.1411 - val_loss: 0.0610 - val_mse: 53.1113
Epoch 22/1000
1s - loss: 0.0579 - mse: 50.4321 - val_loss: 0.0637 - val_mse: 55.4816
Epoch 23/1000
1s - loss: 0.0615 - mse: 53.5354 - val_loss: 0.0604 - val_mse: 52.6408
Epoch 24/1000
1s - loss: 0.0579 - mse: 50.4010 - val_loss: 0.0530 - val_mse: 46.1399
Epoch 25/1000
1s - loss: 0.0496 - mse: 43.2270 - val_loss: 0.0485 - val_mse: 42.2249
Epoch 26/1000
1s - loss: 0.0443 - mse: 38.5489 - val_loss: 0.0482 - val_mse: 41.9644
Epoch 27/1000
1s - loss: 0.0432 - mse: 37.6451 - val_loss: 0.0486 - val_mse: 42.3583
Epoch 28/1000
1s - loss: 0.0433 - mse: 37.7058 - val_loss: 0.0473 - val_mse: 41.1564
Epoch 29/1000
1s - loss: 0.0419 - mse: 36.5301 - val_loss: 0.0443 - val_mse: 38.6197
Epoch 30/1000
1s - loss: 0.0394 - mse: 34.2898 - val_loss: 0.0418 - val_mse: 36.3708
Epoch 31/1000
1s - loss: 0.0372 - mse: 32.4340 - val_loss: 0.0405 - val_mse: 35.3105
Epoch 32/1000
1s - loss: 0.0364 - mse: 31.6927 - val_loss: 0.0398 - val_mse: 34.6704
Epoch 33/1000
1s - loss: 0.0358 - mse: 31.2086 - val_loss: 0.0383 - val_mse: 33.3298
Epoch 34/1000
1s - loss: 0.0343 - mse: 29.8547 - val_loss: 0.0363 - val_mse: 31.6201
Epoch 35/1000
1s - loss: 0.0321 - mse: 27.9965 - val_loss: 0.0353 - val_mse: 30.7376
Epoch 36/1000
1s - loss: 0.0309 - mse: 26.9195 - val_loss: 0.0353 - val_mse: 30.7114
Epoch 37/1000
1s - loss: 0.0308 - mse: 26.7835 - val_loss: 0.0348 - val_mse: 30.2971
Epoch 38/1000
1s - loss: 0.0304 - mse: 26.4430 - val_loss: 0.0330 - val_mse: 28.7390
Epoch 39/1000
1s - loss: 0.0289 - mse: 25.1253 - val_loss: 0.0307 - val_mse: 26.7179
Epoch 40/1000
1s - loss: 0.0269 - mse: 23.3837 - val_loss: 0.0291 - val_mse: 25.3516
Epoch 41/1000
1s - loss: 0.0255 - mse: 22.1993 - val_loss: 0.0285 - val_mse: 24.7963
Epoch 42/1000
1s - loss: 0.0249 - mse: 21.6877 - val_loss: 0.0279 - val_mse: 24.3136
Epoch 43/1000
1s - loss: 0.0243 - mse: 21.1778 - val_loss: 0.0269 - val_mse: 23.4660
Epoch 44/1000
1s - loss: 0.0233 - mse: 20.3313 - val_loss: 0.0259 - val_mse: 22.5641
Epoch 45/1000
1s - loss: 0.0224 - mse: 19.5024 - val_loss: 0.0252 - val_mse: 21.9371
Epoch 46/1000
1s - loss: 0.0218 - mse: 18.9891 - val_loss: 0.0246 - val_mse: 21.4416
Epoch 47/1000
1s - loss: 0.0213 - mse: 18.5825 - val_loss: 0.0239 - val_mse: 20.8044
Epoch 48/1000
1s - loss: 0.0206 - mse: 17.9585 - val_loss: 0.0231 - val_mse: 20.1063
Epoch 49/1000
1s - loss: 0.0197 - mse: 17.1882 - val_loss: 0.0226 - val_mse: 19.6486
Epoch 50/1000
1s - loss: 0.0191 - mse: 16.6200 - val_loss: 0.0223 - val_mse: 19.4194
Epoch 51/1000
1s - loss: 0.0188 - mse: 16.3294 - val_loss: 0.0218 - val_mse: 19.0276
Epoch 52/1000
1s - loss: 0.0184 - mse: 15.9959 - val_loss: 0.0210 - val_mse: 18.2989
Epoch 53/1000
1s - loss: 0.0177 - mse: 15.4392 - val_loss: 0.0202 - val_mse: 17.5655
Epoch 54/1000
1s - loss: 0.0171 - mse: 14.9102 - val_loss: 0.0197 - val_mse: 17.1560
Epoch 55/1000
1s - loss: 0.0168 - mse: 14.6486 - val_loss: 0.0195 - val_mse: 16.9812
Epoch 56/1000
1s - loss: 0.0167 - mse: 14.5195 - val_loss: 0.0193 - val_mse: 16.7903
Epoch 57/1000
1s - loss: 0.0164 - mse: 14.2698 - val_loss: 0.0190 - val_mse: 16.5608
Epoch 58/1000
1s - loss: 0.0160 - mse: 13.8963 - val_loss: 0.0189 - val_mse: 16.4550
Epoch 59/1000
1s - loss: 0.0156 - mse: 13.5961 - val_loss: 0.0190 - val_mse: 16.5054
Epoch 60/1000
1s - loss: 0.0155 - mse: 13.4592 - val_loss: 0.0190 - val_mse: 16.5272
Epoch 61/1000
1s - loss: 0.0153 - mse: 13.3666 - val_loss: 0.0188 - val_mse: 16.3552
Epoch 62/1000
1s - loss: 0.0152 - mse: 13.1963 - val_loss: 0.0184 - val_mse: 16.0302
Epoch 63/1000
1s - loss: 0.0149 - mse: 12.9824 - val_loss: 0.0180 - val_mse: 15.6852
Epoch 64/1000
1s - loss: 0.0147 - mse: 12.8134 - val_loss: 0.0177 - val_mse: 15.3735
Epoch 65/1000
1s - loss: 0.0146 - mse: 12.6892 - val_loss: 0.0173 - val_mse: 15.0692
Epoch 66/1000
1s - loss: 0.0144 - mse: 12.5501 - val_loss: 0.0170 - val_mse: 14.7818
Epoch 67/1000
1s - loss: 0.0142 - mse: 12.3862 - val_loss: 0.0167 - val_mse: 14.5583
Epoch 68/1000
1s - loss: 0.0141 - mse: 12.2417 - val_loss: 0.0165 - val_mse: 14.4089
Epoch 69/1000
1s - loss: 0.0139 - mse: 12.1325 - val_loss: 0.0164 - val_mse: 14.2836
Epoch 70/1000
1s - loss: 0.0138 - mse: 12.0215 - val_loss: 0.0162 - val_mse: 14.1367
Epoch 71/1000
1s - loss: 0.0136 - mse: 11.8788 - val_loss: 0.0160 - val_mse: 13.9768
Epoch 72/1000
1s - loss: 0.0135 - mse: 11.7270 - val_loss: 0.0159 - val_mse: 13.8308
Epoch 73/1000
1s - loss: 0.0133 - mse: 11.5996 - val_loss: 0.0157 - val_mse: 13.6956
Epoch 74/1000
1s - loss: 0.0132 - mse: 11.4927 - val_loss: 0.0156 - val_mse: 13.5551
Epoch 75/1000
1s - loss: 0.0131 - mse: 11.3827 - val_loss: 0.0154 - val_mse: 13.4117
Epoch 76/1000
1s - loss: 0.0129 - mse: 11.2659 - val_loss: 0.0153 - val_mse: 13.2826
Epoch 77/1000
1s - loss: 0.0128 - mse: 11.1554 - val_loss: 0.0151 - val_mse: 13.1698
Epoch 78/1000
1s - loss: 0.0127 - mse: 11.0533 - val_loss: 0.0150 - val_mse: 13.0607
Epoch 79/1000
1s - loss: 0.0126 - mse: 10.9487 - val_loss: 0.0149 - val_mse: 12.9497
Epoch 80/1000
1s - loss: 0.0124 - mse: 10.8377 - val_loss: 0.0147 - val_mse: 12.8430
Epoch 81/1000
1s - loss: 0.0123 - mse: 10.7290 - val_loss: 0.0146 - val_mse: 12.7409
Epoch 82/1000
1s - loss: 0.0122 - mse: 10.6264 - val_loss: 0.0145 - val_mse: 12.6360
Epoch 83/1000
1s - loss: 0.0121 - mse: 10.5249 - val_loss: 0.0144 - val_mse: 12.5280
Epoch 84/1000
1s - loss: 0.0120 - mse: 10.4244 - val_loss: 0.0143 - val_mse: 12.4255
Epoch 85/1000
1s - loss: 0.0119 - mse: 10.3314 - val_loss: 0.0142 - val_mse: 12.3309
Epoch 86/1000
1s - loss: 0.0118 - mse: 10.2451 - val_loss: 0.0141 - val_mse: 12.2371
Epoch 87/1000
1s - loss: 0.0117 - mse: 10.1556 - val_loss: 0.0139 - val_mse: 12.1426
Epoch 88/1000
1s - loss: 0.0116 - mse: 10.0592 - val_loss: 0.0138 - val_mse: 12.0574
Epoch 89/1000
1s - loss: 0.0114 - mse: 9.9651 - val_loss: 0.0138 - val_mse: 11.9855
Epoch 90/1000
1s - loss: 0.0113 - mse: 9.8797 - val_loss: 0.0137 - val_mse: 11.9181
Epoch 91/1000
1s - loss: 0.0113 - mse: 9.7981 - val_loss: 0.0136 - val_mse: 11.8448
Epoch 92/1000
1s - loss: 0.0112 - mse: 9.7131 - val_loss: 0.0135 - val_mse: 11.7666
Epoch 93/1000
1s - loss: 0.0111 - mse: 9.6266 - val_loss: 0.0134 - val_mse: 11.6906
Epoch 94/1000
1s - loss: 0.0110 - mse: 9.5443 - val_loss: 0.0133 - val_mse: 11.6189
Epoch 95/1000
1s - loss: 0.0109 - mse: 9.4664 - val_loss: 0.0133 - val_mse: 11.5470
Epoch 96/1000
1s - loss: 0.0108 - mse: 9.3875 - val_loss: 0.0132 - val_mse: 11.4732
Epoch 97/1000
1s - loss: 0.0107 - mse: 9.3063 - val_loss: 0.0131 - val_mse: 11.3988
Epoch 98/1000
1s - loss: 0.0106 - mse: 9.2258 - val_loss: 0.0130 - val_mse: 11.3235
Epoch 99/1000
1s - loss: 0.0105 - mse: 9.1475 - val_loss: 0.0129 - val_mse: 11.2446
Epoch 100/1000
1s - loss: 0.0104 - mse: 9.0701 - val_loss: 0.0128 - val_mse: 11.1626
Epoch 101/1000
1s - loss: 0.0103 - mse: 8.9932 - val_loss: 0.0127 - val_mse: 11.0812
Epoch 102/1000
1s - loss: 0.0102 - mse: 8.9173 - val_loss: 0.0126 - val_mse: 11.0045
Epoch 103/1000
1s - loss: 0.0102 - mse: 8.8422 - val_loss: 0.0126 - val_mse: 10.9350
Epoch 104/1000
1s - loss: 0.0101 - mse: 8.7671 - val_loss: 0.0125 - val_mse: 10.8741
Epoch 105/1000
1s - loss: 0.0100 - mse: 8.6920 - val_loss: 0.0124 - val_mse: 10.8211
Epoch 106/1000
1s - loss: 0.0099 - mse: 8.6178 - val_loss: 0.0124 - val_mse: 10.7725
Epoch 107/1000
1s - loss: 0.0098 - mse: 8.5443 - val_loss: 0.0123 - val_mse: 10.7237
Epoch 108/1000
1s - loss: 0.0097 - mse: 8.4708 - val_loss: 0.0123 - val_mse: 10.6721
Epoch 109/1000
1s - loss: 0.0096 - mse: 8.3980 - val_loss: 0.0122 - val_mse: 10.6169
Epoch 110/1000
1s - loss: 0.0096 - mse: 8.3263 - val_loss: 0.0121 - val_mse: 10.5588
Epoch 111/1000
1s - loss: 0.0095 - mse: 8.2556 - val_loss: 0.0121 - val_mse: 10.4986
Epoch 112/1000
1s - loss: 0.0094 - mse: 8.1850 - val_loss: 0.0120 - val_mse: 10.4382
Epoch 113/1000
1s - loss: 0.0093 - mse: 8.1143 - val_loss: 0.0119 - val_mse: 10.3799
Epoch 114/1000
1s - loss: 0.0092 - mse: 8.0442 - val_loss: 0.0119 - val_mse: 10.3243
Epoch 115/1000
1s - loss: 0.0092 - mse: 7.9748 - val_loss: 0.0118 - val_mse: 10.2696
Epoch 116/1000
1s - loss: 0.0091 - mse: 7.9059 - val_loss: 0.0117 - val_mse: 10.2146
Epoch 117/1000
1s - loss: 0.0090 - mse: 7.8372 - val_loss: 0.0117 - val_mse: 10.1592
Epoch 118/1000
1s - loss: 0.0089 - mse: 7.7692 - val_loss: 0.0116 - val_mse: 10.1037
Epoch 119/1000
1s - loss: 0.0088 - mse: 7.7018 - val_loss: 0.0115 - val_mse: 10.0482
Epoch 120/1000
1s - loss: 0.0088 - mse: 7.6347 - val_loss: 0.0115 - val_mse: 9.9939
Epoch 121/1000
1s - loss: 0.0087 - mse: 7.5681 - val_loss: 0.0114 - val_mse: 9.9420
Epoch 122/1000
1s - loss: 0.0086 - mse: 7.5025 - val_loss: 0.0114 - val_mse: 9.8923
Epoch 123/1000
1s - loss: 0.0085 - mse: 7.4377 - val_loss: 0.0113 - val_mse: 9.8443
Epoch 124/1000
1s - loss: 0.0085 - mse: 7.3734 - val_loss: 0.0113 - val_mse: 9.7972
Epoch 125/1000
1s - loss: 0.0084 - mse: 7.3096 - val_loss: 0.0112 - val_mse: 9.7506
Epoch 126/1000
1s - loss: 0.0083 - mse: 7.2466 - val_loss: 0.0111 - val_mse: 9.7033
Epoch 127/1000
1s - loss: 0.0082 - mse: 7.1843 - val_loss: 0.0111 - val_mse: 9.6548
Epoch 128/1000
1s - loss: 0.0082 - mse: 7.1226 - val_loss: 0.0110 - val_mse: 9.6050
Epoch 129/1000
1s - loss: 0.0081 - mse: 7.0620 - val_loss: 0.0110 - val_mse: 9.5541
Epoch 130/1000
1s - loss: 0.0080 - mse: 7.0023 - val_loss: 0.0109 - val_mse: 9.5030
Epoch 131/1000
1s - loss: 0.0080 - mse: 6.9436 - val_loss: 0.0109 - val_mse: 9.4527
Epoch 132/1000
1s - loss: 0.0079 - mse: 6.8856 - val_loss: 0.0108 - val_mse: 9.4044
Epoch 133/1000
1s - loss: 0.0078 - mse: 6.8285 - val_loss: 0.0107 - val_mse: 9.3588
Epoch 134/1000
1s - loss: 0.0078 - mse: 6.7723 - val_loss: 0.0107 - val_mse: 9.3160
Epoch 135/1000
1s - loss: 0.0077 - mse: 6.7170 - val_loss: 0.0107 - val_mse: 9.2749
Epoch 136/1000
1s - loss: 0.0077 - mse: 6.6624 - val_loss: 0.0106 - val_mse: 9.2343
Epoch 137/1000
1s - loss: 0.0076 - mse: 6.6086 - val_loss: 0.0106 - val_mse: 9.1933
Epoch 138/1000
1s - loss: 0.0075 - mse: 6.5556 - val_loss: 0.0105 - val_mse: 9.1515
Epoch 139/1000
1s - loss: 0.0075 - mse: 6.5034 - val_loss: 0.0105 - val_mse: 9.1091
Epoch 140/1000
1s - loss: 0.0074 - mse: 6.4522 - val_loss: 0.0104 - val_mse: 9.0667
Epoch 141/1000
1s - loss: 0.0074 - mse: 6.4018 - val_loss: 0.0104 - val_mse: 9.0256
Epoch 142/1000
1s - loss: 0.0073 - mse: 6.3527 - val_loss: 0.0103 - val_mse: 8.9866
Epoch 143/1000
1s - loss: 0.0072 - mse: 6.3047 - val_loss: 0.0103 - val_mse: 8.9501
Epoch 144/1000
1s - loss: 0.0072 - mse: 6.2579 - val_loss: 0.0102 - val_mse: 8.9150
Epoch 145/1000
1s - loss: 0.0071 - mse: 6.2121 - val_loss: 0.0102 - val_mse: 8.8802
Epoch 146/1000
1s - loss: 0.0071 - mse: 6.1678 - val_loss: 0.0102 - val_mse: 8.8451
Epoch 147/1000
1s - loss: 0.0070 - mse: 6.1244 - val_loss: 0.0101 - val_mse: 8.8095
Epoch 148/1000
1s - loss: 0.0070 - mse: 6.0818 - val_loss: 0.0101 - val_mse: 8.7740
Epoch 149/1000
1s - loss: 0.0069 - mse: 6.0400 - val_loss: 0.0100 - val_mse: 8.7391
Epoch 150/1000
1s - loss: 0.0069 - mse: 5.9991 - val_loss: 0.0100 - val_mse: 8.7051
Epoch 151/1000
1s - loss: 0.0068 - mse: 5.9587 - val_loss: 0.0100 - val_mse: 8.6718
Epoch 152/1000
1s - loss: 0.0068 - mse: 5.9189 - val_loss: 0.0099 - val_mse: 8.6392
Epoch 153/1000
1s - loss: 0.0068 - mse: 5.8803 - val_loss: 0.0099 - val_mse: 8.6061
Epoch 154/1000
1s - loss: 0.0067 - mse: 5.8428 - val_loss: 0.0098 - val_mse: 8.5716
Epoch 155/1000
1s - loss: 0.0067 - mse: 5.8057 - val_loss: 0.0098 - val_mse: 8.5361
Epoch 156/1000
1s - loss: 0.0066 - mse: 5.7692 - val_loss: 0.0098 - val_mse: 8.5005
Epoch 157/1000
1s - loss: 0.0066 - mse: 5.7334 - val_loss: 0.0097 - val_mse: 8.4655
Epoch 158/1000
1s - loss: 0.0065 - mse: 5.6982 - val_loss: 0.0097 - val_mse: 8.4316
Epoch 159/1000
1s - loss: 0.0065 - mse: 5.6634 - val_loss: 0.0096 - val_mse: 8.3989
Epoch 160/1000
1s - loss: 0.0065 - mse: 5.6290 - val_loss: 0.0096 - val_mse: 8.3671
Epoch 161/1000
1s - loss: 0.0064 - mse: 5.5950 - val_loss: 0.0096 - val_mse: 8.3361
Epoch 162/1000
1s - loss: 0.0064 - mse: 5.5615 - val_loss: 0.0095 - val_mse: 8.3055
Epoch 163/1000
1s - loss: 0.0063 - mse: 5.5286 - val_loss: 0.0095 - val_mse: 8.2750
Epoch 164/1000
1s - loss: 0.0063 - mse: 5.4963 - val_loss: 0.0095 - val_mse: 8.2453
Epoch 165/1000
1s - loss: 0.0063 - mse: 5.4646 - val_loss: 0.0094 - val_mse: 8.2161
Epoch 166/1000
1s - loss: 0.0062 - mse: 5.4334 - val_loss: 0.0094 - val_mse: 8.1869
Epoch 167/1000
1s - loss: 0.0062 - mse: 5.4024 - val_loss: 0.0094 - val_mse: 8.1577
Epoch 168/1000
1s - loss: 0.0062 - mse: 5.3718 - val_loss: 0.0093 - val_mse: 8.1288
Epoch 169/1000
1s - loss: 0.0061 - mse: 5.3414 - val_loss: 0.0093 - val_mse: 8.1000
Epoch 170/1000
1s - loss: 0.0061 - mse: 5.3114 - val_loss: 0.0093 - val_mse: 8.0711
Epoch 171/1000
1s - loss: 0.0061 - mse: 5.2820 - val_loss: 0.0092 - val_mse: 8.0421
Epoch 172/1000
1s - loss: 0.0060 - mse: 5.2531 - val_loss: 0.0092 - val_mse: 8.0126
Epoch 173/1000
1s - loss: 0.0060 - mse: 5.2245 - val_loss: 0.0092 - val_mse: 7.9828
Epoch 174/1000
1s - loss: 0.0060 - mse: 5.1961 - val_loss: 0.0091 - val_mse: 7.9536
Epoch 175/1000
1s - loss: 0.0059 - mse: 5.1681 - val_loss: 0.0091 - val_mse: 7.9251
Epoch 176/1000
1s - loss: 0.0059 - mse: 5.1403 - val_loss: 0.0091 - val_mse: 7.8972
Epoch 177/1000
1s - loss: 0.0059 - mse: 5.1128 - val_loss: 0.0090 - val_mse: 7.8700
Epoch 178/1000
1s - loss: 0.0058 - mse: 5.0856 - val_loss: 0.0090 - val_mse: 7.8435
Epoch 179/1000
1s - loss: 0.0058 - mse: 5.0588 - val_loss: 0.0090 - val_mse: 7.8169
Epoch 180/1000
1s - loss: 0.0058 - mse: 5.0319 - val_loss: 0.0089 - val_mse: 7.7902
Epoch 181/1000
1s - loss: 0.0057 - mse: 5.0053 - val_loss: 0.0089 - val_mse: 7.7632
Epoch 182/1000
1s - loss: 0.0057 - mse: 4.9788 - val_loss: 0.0089 - val_mse: 7.7366
Epoch 183/1000
1s - loss: 0.0057 - mse: 4.9524 - val_loss: 0.0089 - val_mse: 7.7098
Epoch 184/1000
1s - loss: 0.0057 - mse: 4.9263 - val_loss: 0.0088 - val_mse: 7.6833
Epoch 185/1000
1s - loss: 0.0056 - mse: 4.9004 - val_loss: 0.0088 - val_mse: 7.6569
Epoch 186/1000
1s - loss: 0.0056 - mse: 4.8746 - val_loss: 0.0088 - val_mse: 7.6305
Epoch 187/1000
1s - loss: 0.0056 - mse: 4.8491 - val_loss: 0.0087 - val_mse: 7.6040
Epoch 188/1000
1s - loss: 0.0055 - mse: 4.8237 - val_loss: 0.0087 - val_mse: 7.5770
Epoch 189/1000
1s - loss: 0.0055 - mse: 4.7986 - val_loss: 0.0087 - val_mse: 7.5497
Epoch 190/1000
1s - loss: 0.0055 - mse: 4.7734 - val_loss: 0.0086 - val_mse: 7.5228
Epoch 191/1000
1s - loss: 0.0055 - mse: 4.7484 - val_loss: 0.0086 - val_mse: 7.4965
Epoch 192/1000
1s - loss: 0.0054 - mse: 4.7236 - val_loss: 0.0086 - val_mse: 7.4704
Epoch 193/1000
1s - loss: 0.0054 - mse: 4.6990 - val_loss: 0.0085 - val_mse: 7.4445
Epoch 194/1000
1s - loss: 0.0054 - mse: 4.6744 - val_loss: 0.0085 - val_mse: 7.4186
Epoch 195/1000
1s - loss: 0.0053 - mse: 4.6498 - val_loss: 0.0085 - val_mse: 7.3922
Epoch 196/1000
1s - loss: 0.0053 - mse: 4.6252 - val_loss: 0.0085 - val_mse: 7.3660
Epoch 197/1000
1s - loss: 0.0053 - mse: 4.6007 - val_loss: 0.0084 - val_mse: 7.3407
Epoch 198/1000
1s - loss: 0.0053 - mse: 4.5771 - val_loss: 0.0084 - val_mse: 7.3158
Epoch 199/1000
1s - loss: 0.0052 - mse: 4.5535 - val_loss: 0.0084 - val_mse: 7.2912
Epoch 200/1000
1s - loss: 0.0052 - mse: 4.5306 - val_loss: 0.0083 - val_mse: 7.2659
Epoch 201/1000
1s - loss: 0.0052 - mse: 4.5076 - val_loss: 0.0083 - val_mse: 7.2398
Epoch 202/1000
1s - loss: 0.0051 - mse: 4.4844 - val_loss: 0.0083 - val_mse: 7.2135
Epoch 203/1000
1s - loss: 0.0051 - mse: 4.4613 - val_loss: 0.0083 - val_mse: 7.1875
Epoch 204/1000
1s - loss: 0.0051 - mse: 4.4384 - val_loss: 0.0082 - val_mse: 7.1620
Epoch 205/1000
1s - loss: 0.0051 - mse: 4.4157 - val_loss: 0.0082 - val_mse: 7.1369
Epoch 206/1000
1s - loss: 0.0050 - mse: 4.3930 - val_loss: 0.0082 - val_mse: 7.1118
Epoch 207/1000
1s - loss: 0.0050 - mse: 4.3703 - val_loss: 0.0081 - val_mse: 7.0865
Epoch 208/1000
1s - loss: 0.0050 - mse: 4.3476 - val_loss: 0.0081 - val_mse: 7.0607
Epoch 209/1000
1s - loss: 0.0050 - mse: 4.3250 - val_loss: 0.0081 - val_mse: 7.0347
Epoch 210/1000
1s - loss: 0.0049 - mse: 4.3024 - val_loss: 0.0080 - val_mse: 7.0088
Epoch 211/1000
1s - loss: 0.0049 - mse: 4.2800 - val_loss: 0.0080 - val_mse: 6.9835
Epoch 212/1000
1s - loss: 0.0049 - mse: 4.2577 - val_loss: 0.0080 - val_mse: 6.9587
Epoch 213/1000
1s - loss: 0.0049 - mse: 4.2356 - val_loss: 0.0080 - val_mse: 6.9336
Epoch 214/1000
1s - loss: 0.0048 - mse: 4.2136 - val_loss: 0.0079 - val_mse: 6.9082
Epoch 215/1000
1s - loss: 0.0048 - mse: 4.1916 - val_loss: 0.0079 - val_mse: 6.8826
Epoch 216/1000
1s - loss: 0.0048 - mse: 4.1695 - val_loss: 0.0079 - val_mse: 6.8574
Epoch 217/1000
1s - loss: 0.0048 - mse: 4.1475 - val_loss: 0.0078 - val_mse: 6.8324
Epoch 218/1000
1s - loss: 0.0047 - mse: 4.1254 - val_loss: 0.0078 - val_mse: 6.8082
Epoch 219/1000
1s - loss: 0.0047 - mse: 4.1032 - val_loss: 0.0078 - val_mse: 6.7844
Epoch 220/1000
1s - loss: 0.0047 - mse: 4.0810 - val_loss: 0.0078 - val_mse: 6.7610
Epoch 221/1000
1s - loss: 0.0047 - mse: 4.0588 - val_loss: 0.0077 - val_mse: 6.7374
Epoch 222/1000
1s - loss: 0.0046 - mse: 4.0365 - val_loss: 0.0077 - val_mse: 6.7136
Epoch 223/1000
1s - loss: 0.0046 - mse: 4.0143 - val_loss: 0.0077 - val_mse: 6.6890
Epoch 224/1000
1s - loss: 0.0046 - mse: 3.9921 - val_loss: 0.0077 - val_mse: 6.6640
Epoch 225/1000
1s - loss: 0.0046 - mse: 3.9699 - val_loss: 0.0076 - val_mse: 6.6379
Epoch 226/1000
1s - loss: 0.0045 - mse: 3.9471 - val_loss: 0.0076 - val_mse: 6.6105
Epoch 227/1000
1s - loss: 0.0045 - mse: 3.9239 - val_loss: 0.0076 - val_mse: 6.5830
Epoch 228/1000
1s - loss: 0.0045 - mse: 3.9009 - val_loss: 0.0075 - val_mse: 6.5559
Epoch 229/1000
1s - loss: 0.0045 - mse: 3.8779 - val_loss: 0.0075 - val_mse: 6.5301
Epoch 230/1000
1s - loss: 0.0044 - mse: 3.8555 - val_loss: 0.0075 - val_mse: 6.5053
Epoch 231/1000
1s - loss: 0.0044 - mse: 3.8337 - val_loss: 0.0074 - val_mse: 6.4807
Epoch 232/1000
1s - loss: 0.0044 - mse: 3.8124 - val_loss: 0.0074 - val_mse: 6.4561
Epoch 233/1000
1s - loss: 0.0044 - mse: 3.7911 - val_loss: 0.0074 - val_mse: 6.4316
Epoch 234/1000
1s - loss: 0.0043 - mse: 3.7699 - val_loss: 0.0074 - val_mse: 6.4078
Epoch 235/1000
1s - loss: 0.0043 - mse: 3.7491 - val_loss: 0.0073 - val_mse: 6.3842
Epoch 236/1000
1s - loss: 0.0043 - mse: 3.7283 - val_loss: 0.0073 - val_mse: 6.3607
Epoch 237/1000
1s - loss: 0.0043 - mse: 3.7077 - val_loss: 0.0073 - val_mse: 6.3371
Epoch 238/1000
1s - loss: 0.0042 - mse: 3.6872 - val_loss: 0.0072 - val_mse: 6.3132
Epoch 239/1000
1s - loss: 0.0042 - mse: 3.6672 - val_loss: 0.0072 - val_mse: 6.2890
Epoch 240/1000
1s - loss: 0.0042 - mse: 3.6472 - val_loss: 0.0072 - val_mse: 6.2653
Epoch 241/1000
1s - loss: 0.0042 - mse: 3.6275 - val_loss: 0.0072 - val_mse: 6.2424
Epoch 242/1000
1s - loss: 0.0041 - mse: 3.6077 - val_loss: 0.0071 - val_mse: 6.2200
Epoch 243/1000
1s - loss: 0.0041 - mse: 3.5879 - val_loss: 0.0071 - val_mse: 6.1981
Epoch 244/1000
1s - loss: 0.0041 - mse: 3.5684 - val_loss: 0.0071 - val_mse: 6.1763
Epoch 245/1000
1s - loss: 0.0041 - mse: 3.5491 - val_loss: 0.0071 - val_mse: 6.1546
Epoch 246/1000
1s - loss: 0.0041 - mse: 3.5299 - val_loss: 0.0070 - val_mse: 6.1328
Epoch 247/1000
1s - loss: 0.0040 - mse: 3.5103 - val_loss: 0.0070 - val_mse: 6.1115
Epoch 248/1000
1s - loss: 0.0040 - mse: 3.4911 - val_loss: 0.0070 - val_mse: 6.0903
Epoch 249/1000
1s - loss: 0.0040 - mse: 3.4724 - val_loss: 0.0070 - val_mse: 6.0693
Epoch 250/1000
1s - loss: 0.0040 - mse: 3.4537 - val_loss: 0.0069 - val_mse: 6.0482
Epoch 251/1000
1s - loss: 0.0039 - mse: 3.4349 - val_loss: 0.0069 - val_mse: 6.0266
Epoch 252/1000
1s - loss: 0.0039 - mse: 3.4161 - val_loss: 0.0069 - val_mse: 6.0048
Epoch 253/1000
1s - loss: 0.0039 - mse: 3.3974 - val_loss: 0.0069 - val_mse: 5.9827
Epoch 254/1000
1s - loss: 0.0039 - mse: 3.3786 - val_loss: 0.0068 - val_mse: 5.9610
Epoch 255/1000
1s - loss: 0.0039 - mse: 3.3599 - val_loss: 0.0068 - val_mse: 5.9395
Epoch 256/1000
1s - loss: 0.0038 - mse: 3.3414 - val_loss: 0.0068 - val_mse: 5.9176
Epoch 257/1000
1s - loss: 0.0038 - mse: 3.3230 - val_loss: 0.0068 - val_mse: 5.8955
Epoch 258/1000
1s - loss: 0.0038 - mse: 3.3046 - val_loss: 0.0067 - val_mse: 5.8739
Epoch 259/1000
1s - loss: 0.0038 - mse: 3.2865 - val_loss: 0.0067 - val_mse: 5.8523
Epoch 260/1000
1s - loss: 0.0038 - mse: 3.2686 - val_loss: 0.0067 - val_mse: 5.8309
Epoch 261/1000
1s - loss: 0.0037 - mse: 3.2506 - val_loss: 0.0067 - val_mse: 5.8101
Epoch 262/1000
1s - loss: 0.0037 - mse: 3.2326 - val_loss: 0.0066 - val_mse: 5.7893
Epoch 263/1000
1s - loss: 0.0037 - mse: 3.2146 - val_loss: 0.0066 - val_mse: 5.7685
Epoch 264/1000
1s - loss: 0.0037 - mse: 3.1965 - val_loss: 0.0066 - val_mse: 5.7476
Epoch 265/1000
1s - loss: 0.0036 - mse: 3.1783 - val_loss: 0.0066 - val_mse: 5.7270
Epoch 266/1000
1s - loss: 0.0036 - mse: 3.1601 - val_loss: 0.0066 - val_mse: 5.7068
Epoch 267/1000
1s - loss: 0.0036 - mse: 3.1419 - val_loss: 0.0065 - val_mse: 5.6867
Epoch 268/1000
1s - loss: 0.0036 - mse: 3.1238 - val_loss: 0.0065 - val_mse: 5.6660
Epoch 269/1000
1s - loss: 0.0036 - mse: 3.1057 - val_loss: 0.0065 - val_mse: 5.6447
Epoch 270/1000
1s - loss: 0.0035 - mse: 3.0876 - val_loss: 0.0065 - val_mse: 5.6227
Epoch 271/1000
1s - loss: 0.0035 - mse: 3.0695 - val_loss: 0.0064 - val_mse: 5.6007
Epoch 272/1000
1s - loss: 0.0035 - mse: 3.0514 - val_loss: 0.0064 - val_mse: 5.5791
Epoch 273/1000
1s - loss: 0.0035 - mse: 3.0333 - val_loss: 0.0064 - val_mse: 5.5573
Epoch 274/1000
1s - loss: 0.0035 - mse: 3.0150 - val_loss: 0.0064 - val_mse: 5.5356
Epoch 275/1000
1s - loss: 0.0034 - mse: 2.9965 - val_loss: 0.0063 - val_mse: 5.5134
Epoch 276/1000
1s - loss: 0.0034 - mse: 2.9781 - val_loss: 0.0063 - val_mse: 5.4914
Epoch 277/1000
1s - loss: 0.0034 - mse: 2.9597 - val_loss: 0.0063 - val_mse: 5.4698
Epoch 278/1000
1s - loss: 0.0034 - mse: 2.9411 - val_loss: 0.0063 - val_mse: 5.4484
Epoch 279/1000
1s - loss: 0.0034 - mse: 2.9225 - val_loss: 0.0062 - val_mse: 5.4263
Epoch 280/1000
1s - loss: 0.0033 - mse: 2.9038 - val_loss: 0.0062 - val_mse: 5.4035
Epoch 281/1000
1s - loss: 0.0033 - mse: 2.8849 - val_loss: 0.0062 - val_mse: 5.3807
Epoch 282/1000
1s - loss: 0.0033 - mse: 2.8660 - val_loss: 0.0062 - val_mse: 5.3580
Epoch 283/1000
1s - loss: 0.0033 - mse: 2.8469 - val_loss: 0.0061 - val_mse: 5.3352
Epoch 284/1000
1s - loss: 0.0032 - mse: 2.8278 - val_loss: 0.0061 - val_mse: 5.3126
Epoch 285/1000
1s - loss: 0.0032 - mse: 2.8086 - val_loss: 0.0061 - val_mse: 5.2897
Epoch 286/1000
1s - loss: 0.0032 - mse: 2.7892 - val_loss: 0.0060 - val_mse: 5.2668
Epoch 287/1000
1s - loss: 0.0032 - mse: 2.7698 - val_loss: 0.0060 - val_mse: 5.2437
Epoch 288/1000
1s - loss: 0.0032 - mse: 2.7503 - val_loss: 0.0060 - val_mse: 5.2204
Epoch 289/1000
1s - loss: 0.0031 - mse: 2.7307 - val_loss: 0.0060 - val_mse: 5.1966
Epoch 290/1000
1s - loss: 0.0031 - mse: 2.7110 - val_loss: 0.0059 - val_mse: 5.1726
Epoch 291/1000
1s - loss: 0.0031 - mse: 2.6910 - val_loss: 0.0059 - val_mse: 5.1485
Epoch 292/1000
1s - loss: 0.0031 - mse: 2.6711 - val_loss: 0.0059 - val_mse: 5.1243
Epoch 293/1000
1s - loss: 0.0030 - mse: 2.6510 - val_loss: 0.0059 - val_mse: 5.0997
Epoch 294/1000
1s - loss: 0.0030 - mse: 2.6308 - val_loss: 0.0058 - val_mse: 5.0756
Epoch 295/1000
1s - loss: 0.0030 - mse: 2.6104 - val_loss: 0.0058 - val_mse: 5.0519
Epoch 296/1000
1s - loss: 0.0030 - mse: 2.5899 - val_loss: 0.0058 - val_mse: 5.0279
Epoch 297/1000
1s - loss: 0.0030 - mse: 2.5692 - val_loss: 0.0057 - val_mse: 5.0035
Epoch 298/1000
1s - loss: 0.0029 - mse: 2.5483 - val_loss: 0.0057 - val_mse: 4.9780
Epoch 299/1000
1s - loss: 0.0029 - mse: 2.5272 - val_loss: 0.0057 - val_mse: 4.9522
Epoch 300/1000
1s - loss: 0.0029 - mse: 2.5060 - val_loss: 0.0057 - val_mse: 4.9263
Epoch 301/1000
1s - loss: 0.0029 - mse: 2.4845 - val_loss: 0.0056 - val_mse: 4.9007
Epoch 302/1000
1s - loss: 0.0028 - mse: 2.4629 - val_loss: 0.0056 - val_mse: 4.8750
Epoch 303/1000
1s - loss: 0.0028 - mse: 2.4411 - val_loss: 0.0056 - val_mse: 4.8493
Epoch 304/1000
1s - loss: 0.0028 - mse: 2.4194 - val_loss: 0.0055 - val_mse: 4.8240
Epoch 305/1000
1s - loss: 0.0028 - mse: 2.3976 - val_loss: 0.0055 - val_mse: 4.7991
Epoch 306/1000
1s - loss: 0.0027 - mse: 2.3756 - val_loss: 0.0055 - val_mse: 4.7742
Epoch 307/1000
1s - loss: 0.0027 - mse: 2.3535 - val_loss: 0.0055 - val_mse: 4.7490
Epoch 308/1000
1s - loss: 0.0027 - mse: 2.3312 - val_loss: 0.0054 - val_mse: 4.7235
Epoch 309/1000
1s - loss: 0.0027 - mse: 2.3090 - val_loss: 0.0054 - val_mse: 4.6977
Epoch 310/1000
1s - loss: 0.0026 - mse: 2.2866 - val_loss: 0.0054 - val_mse: 4.6717
Epoch 311/1000
1s - loss: 0.0026 - mse: 2.2640 - val_loss: 0.0053 - val_mse: 4.6457
Epoch 312/1000
1s - loss: 0.0026 - mse: 2.2414 - val_loss: 0.0053 - val_mse: 4.6199
Epoch 313/1000
1s - loss: 0.0025 - mse: 2.2187 - val_loss: 0.0053 - val_mse: 4.5945
Epoch 314/1000
1s - loss: 0.0025 - mse: 2.1960 - val_loss: 0.0052 - val_mse: 4.5690
Epoch 315/1000
1s - loss: 0.0025 - mse: 2.1733 - val_loss: 0.0052 - val_mse: 4.5432
Epoch 316/1000
1s - loss: 0.0025 - mse: 2.1503 - val_loss: 0.0052 - val_mse: 4.5179
Epoch 317/1000
1s - loss: 0.0024 - mse: 2.1274 - val_loss: 0.0052 - val_mse: 4.4941
Epoch 318/1000
1s - loss: 0.0024 - mse: 2.1046 - val_loss: 0.0051 - val_mse: 4.4713
Epoch 319/1000
1s - loss: 0.0024 - mse: 2.0817 - val_loss: 0.0051 - val_mse: 4.4480
Epoch 320/1000
1s - loss: 0.0024 - mse: 2.0587 - val_loss: 0.0051 - val_mse: 4.4232
Epoch 321/1000
1s - loss: 0.0023 - mse: 2.0356 - val_loss: 0.0050 - val_mse: 4.3969
Epoch 322/1000
1s - loss: 0.0023 - mse: 2.0123 - val_loss: 0.0050 - val_mse: 4.3702
Epoch 323/1000
1s - loss: 0.0023 - mse: 1.9889 - val_loss: 0.0050 - val_mse: 4.3443
Epoch 324/1000
1s - loss: 0.0023 - mse: 1.9654 - val_loss: 0.0050 - val_mse: 4.3201
Epoch 325/1000
1s - loss: 0.0022 - mse: 1.9422 - val_loss: 0.0049 - val_mse: 4.2975
Epoch 326/1000
1s - loss: 0.0022 - mse: 1.9194 - val_loss: 0.0049 - val_mse: 4.2754
Epoch 327/1000
1s - loss: 0.0022 - mse: 1.8968 - val_loss: 0.0049 - val_mse: 4.2533
Epoch 328/1000
1s - loss: 0.0022 - mse: 1.8741 - val_loss: 0.0049 - val_mse: 4.2307
Epoch 329/1000
1s - loss: 0.0021 - mse: 1.8514 - val_loss: 0.0048 - val_mse: 4.2073
Epoch 330/1000
1s - loss: 0.0021 - mse: 1.8288 - val_loss: 0.0048 - val_mse: 4.1833
Epoch 331/1000
1s - loss: 0.0021 - mse: 1.8063 - val_loss: 0.0048 - val_mse: 4.1596
Epoch 332/1000
1s - loss: 0.0020 - mse: 1.7838 - val_loss: 0.0048 - val_mse: 4.1370
Epoch 333/1000
1s - loss: 0.0020 - mse: 1.7614 - val_loss: 0.0047 - val_mse: 4.1152
Epoch 334/1000
1s - loss: 0.0020 - mse: 1.7390 - val_loss: 0.0047 - val_mse: 4.0934
Epoch 335/1000
1s - loss: 0.0020 - mse: 1.7170 - val_loss: 0.0047 - val_mse: 4.0713
Epoch 336/1000
1s - loss: 0.0019 - mse: 1.6951 - val_loss: 0.0046 - val_mse: 4.0489
Epoch 337/1000
1s - loss: 0.0019 - mse: 1.6733 - val_loss: 0.0046 - val_mse: 4.0264
Epoch 338/1000
1s - loss: 0.0019 - mse: 1.6517 - val_loss: 0.0046 - val_mse: 4.0042
Epoch 339/1000
1s - loss: 0.0019 - mse: 1.6302 - val_loss: 0.0046 - val_mse: 3.9830
Epoch 340/1000
1s - loss: 0.0018 - mse: 1.6091 - val_loss: 0.0045 - val_mse: 3.9622
Epoch 341/1000
1s - loss: 0.0018 - mse: 1.5882 - val_loss: 0.0045 - val_mse: 3.9414
Epoch 342/1000
1s - loss: 0.0018 - mse: 1.5675 - val_loss: 0.0045 - val_mse: 3.9201
Epoch 343/1000
1s - loss: 0.0018 - mse: 1.5471 - val_loss: 0.0045 - val_mse: 3.8987
Epoch 344/1000
1s - loss: 0.0018 - mse: 1.5271 - val_loss: 0.0045 - val_mse: 3.8776
Epoch 345/1000
1s - loss: 0.0017 - mse: 1.5073 - val_loss: 0.0044 - val_mse: 3.8573
Epoch 346/1000
1s - loss: 0.0017 - mse: 1.4879 - val_loss: 0.0044 - val_mse: 3.8380
Epoch 347/1000
1s - loss: 0.0017 - mse: 1.4687 - val_loss: 0.0044 - val_mse: 3.8192
Epoch 348/1000
1s - loss: 0.0017 - mse: 1.4498 - val_loss: 0.0044 - val_mse: 3.8004
Epoch 349/1000
1s - loss: 0.0016 - mse: 1.4311 - val_loss: 0.0043 - val_mse: 3.7817
Epoch 350/1000
1s - loss: 0.0016 - mse: 1.4126 - val_loss: 0.0043 - val_mse: 3.7632
Epoch 351/1000
1s - loss: 0.0016 - mse: 1.3944 - val_loss: 0.0043 - val_mse: 3.7453
Epoch 352/1000
1s - loss: 0.0016 - mse: 1.3765 - val_loss: 0.0043 - val_mse: 3.7279
Epoch 353/1000
1s - loss: 0.0016 - mse: 1.3587 - val_loss: 0.0043 - val_mse: 3.7104
Epoch 354/1000
1s - loss: 0.0015 - mse: 1.3413 - val_loss: 0.0042 - val_mse: 3.6924
Epoch 355/1000
1s - loss: 0.0015 - mse: 1.3242 - val_loss: 0.0042 - val_mse: 3.6743
Epoch 356/1000
1s - loss: 0.0015 - mse: 1.3071 - val_loss: 0.0042 - val_mse: 3.6564
Epoch 357/1000
1s - loss: 0.0015 - mse: 1.2903 - val_loss: 0.0042 - val_mse: 3.6386
Epoch 358/1000
1s - loss: 0.0015 - mse: 1.2736 - val_loss: 0.0042 - val_mse: 3.6216
Epoch 359/1000
1s - loss: 0.0014 - mse: 1.2571 - val_loss: 0.0041 - val_mse: 3.6047
Epoch 360/1000
1s - loss: 0.0014 - mse: 1.2408 - val_loss: 0.0041 - val_mse: 3.5880
Epoch 361/1000
1s - loss: 0.0014 - mse: 1.2246 - val_loss: 0.0041 - val_mse: 3.5715
Epoch 362/1000

Epoch 00361: reducing learning rate to 0.00699999984354.
1s - loss: 0.0014 - mse: 1.2087 - val_loss: 0.0041 - val_mse: 3.5550
Epoch 363/1000
1s - loss: 0.0014 - mse: 1.1930 - val_loss: 0.0041 - val_mse: 3.5428
Epoch 364/1000
1s - loss: 0.0014 - mse: 1.1822 - val_loss: 0.0041 - val_mse: 3.5300
Epoch 365/1000
1s - loss: 0.0013 - mse: 1.1714 - val_loss: 0.0040 - val_mse: 3.5172
Epoch 366/1000
1s - loss: 0.0013 - mse: 1.1607 - val_loss: 0.0040 - val_mse: 3.5052
Epoch 367/1000
1s - loss: 0.0013 - mse: 1.1502 - val_loss: 0.0040 - val_mse: 3.4939
Epoch 368/1000
1s - loss: 0.0013 - mse: 1.1399 - val_loss: 0.0040 - val_mse: 3.4825
Epoch 369/1000
1s - loss: 0.0013 - mse: 1.1296 - val_loss: 0.0040 - val_mse: 3.4710
Epoch 370/1000
1s - loss: 0.0013 - mse: 1.1194 - val_loss: 0.0040 - val_mse: 3.4595
Epoch 371/1000
1s - loss: 0.0013 - mse: 1.1094 - val_loss: 0.0040 - val_mse: 3.4487
Epoch 372/1000
1s - loss: 0.0013 - mse: 1.0996 - val_loss: 0.0039 - val_mse: 3.4382
Epoch 373/1000
1s - loss: 0.0013 - mse: 1.0900 - val_loss: 0.0039 - val_mse: 3.4271
Epoch 374/1000
1s - loss: 0.0012 - mse: 1.0804 - val_loss: 0.0039 - val_mse: 3.4158
Epoch 375/1000
1s - loss: 0.0012 - mse: 1.0708 - val_loss: 0.0039 - val_mse: 3.4046
Epoch 376/1000

Epoch 00375: reducing learning rate to 0.00489999982528.
1s - loss: 0.0012 - mse: 1.0614 - val_loss: 0.0039 - val_mse: 3.3942
Epoch 377/1000
1s - loss: 0.0012 - mse: 1.0520 - val_loss: 0.0039 - val_mse: 3.3876
Epoch 378/1000
1s - loss: 0.0012 - mse: 1.0456 - val_loss: 0.0039 - val_mse: 3.3813
Epoch 379/1000
1s - loss: 0.0012 - mse: 1.0393 - val_loss: 0.0039 - val_mse: 3.3750
Epoch 380/1000
1s - loss: 0.0012 - mse: 1.0329 - val_loss: 0.0039 - val_mse: 3.3687
Epoch 381/1000
1s - loss: 0.0012 - mse: 1.0266 - val_loss: 0.0039 - val_mse: 3.3622
Epoch 382/1000
1s - loss: 0.0012 - mse: 1.0203 - val_loss: 0.0039 - val_mse: 3.3556
Epoch 383/1000
1s - loss: 0.0012 - mse: 1.0140 - val_loss: 0.0038 - val_mse: 3.3491
Epoch 384/1000
1s - loss: 0.0012 - mse: 1.0079 - val_loss: 0.0038 - val_mse: 3.3425
Epoch 385/1000
1s - loss: 0.0012 - mse: 1.0017 - val_loss: 0.0038 - val_mse: 3.3357
Epoch 386/1000
1s - loss: 0.0011 - mse: 0.9957 - val_loss: 0.0038 - val_mse: 3.3288
Epoch 387/1000
1s - loss: 0.0011 - mse: 0.9897 - val_loss: 0.0038 - val_mse: 3.3219
Epoch 388/1000
1s - loss: 0.0011 - mse: 0.9837 - val_loss: 0.0038 - val_mse: 3.3152
Epoch 389/1000
1s - loss: 0.0011 - mse: 0.9777 - val_loss: 0.0038 - val_mse: 3.3085
Epoch 390/1000

Epoch 00389: reducing learning rate to 0.00343000004068.
1s - loss: 0.0011 - mse: 0.9719 - val_loss: 0.0038 - val_mse: 3.3019
Epoch 391/1000
1s - loss: 0.0011 - mse: 0.9661 - val_loss: 0.0038 - val_mse: 3.2974
Epoch 392/1000
1s - loss: 0.0011 - mse: 0.9620 - val_loss: 0.0038 - val_mse: 3.2931
Epoch 393/1000
1s - loss: 0.0011 - mse: 0.9580 - val_loss: 0.0038 - val_mse: 3.2889
Epoch 394/1000
1s - loss: 0.0011 - mse: 0.9540 - val_loss: 0.0038 - val_mse: 3.2847
Epoch 395/1000
1s - loss: 0.0011 - mse: 0.9501 - val_loss: 0.0038 - val_mse: 3.2804
Epoch 396/1000
1s - loss: 0.0011 - mse: 0.9462 - val_loss: 0.0038 - val_mse: 3.2762
Epoch 397/1000
1s - loss: 0.0011 - mse: 0.9422 - val_loss: 0.0038 - val_mse: 3.2722
Epoch 398/1000
1s - loss: 0.0011 - mse: 0.9384 - val_loss: 0.0038 - val_mse: 3.2684
Epoch 399/1000
1s - loss: 0.0011 - mse: 0.9345 - val_loss: 0.0037 - val_mse: 3.2647
Epoch 400/1000
1s - loss: 0.0011 - mse: 0.9306 - val_loss: 0.0037 - val_mse: 3.2609
Epoch 401/1000
1s - loss: 0.0011 - mse: 0.9268 - val_loss: 0.0037 - val_mse: 3.2569
Epoch 402/1000
1s - loss: 0.0011 - mse: 0.9230 - val_loss: 0.0037 - val_mse: 3.2529
Epoch 403/1000
1s - loss: 0.0011 - mse: 0.9193 - val_loss: 0.0037 - val_mse: 3.2487
Epoch 404/1000

Epoch 00403: reducing learning rate to 0.00240100002848.
1s - loss: 0.0011 - mse: 0.9156 - val_loss: 0.0037 - val_mse: 3.2446
Epoch 405/1000
1s - loss: 0.0010 - mse: 0.9118 - val_loss: 0.0037 - val_mse: 3.2416
Epoch 406/1000
1s - loss: 0.0010 - mse: 0.9093 - val_loss: 0.0037 - val_mse: 3.2386
Epoch 407/1000
1s - loss: 0.0010 - mse: 0.9067 - val_loss: 0.0037 - val_mse: 3.2358
Epoch 408/1000
1s - loss: 0.0010 - mse: 0.9043 - val_loss: 0.0037 - val_mse: 3.2330
Epoch 409/1000
1s - loss: 0.0010 - mse: 0.9018 - val_loss: 0.0037 - val_mse: 3.2304
Epoch 410/1000
1s - loss: 0.0010 - mse: 0.8993 - val_loss: 0.0037 - val_mse: 3.2280
Epoch 411/1000
1s - loss: 0.0010 - mse: 0.8969 - val_loss: 0.0037 - val_mse: 3.2256
Epoch 412/1000
1s - loss: 0.0010 - mse: 0.8945 - val_loss: 0.0037 - val_mse: 3.2233
Epoch 413/1000
1s - loss: 0.0010 - mse: 0.8920 - val_loss: 0.0037 - val_mse: 3.2207
Epoch 414/1000
1s - loss: 0.0010 - mse: 0.8896 - val_loss: 0.0037 - val_mse: 3.2179
Epoch 415/1000
1s - loss: 0.0010 - mse: 0.8873 - val_loss: 0.0037 - val_mse: 3.2150
Epoch 416/1000
1s - loss: 0.0010 - mse: 0.8849 - val_loss: 0.0037 - val_mse: 3.2120
Epoch 417/1000
1s - loss: 0.0010 - mse: 0.8825 - val_loss: 0.0037 - val_mse: 3.2092
Epoch 418/1000

Epoch 00417: reducing learning rate to 0.00168070008513.
1s - loss: 0.0010 - mse: 0.8802 - val_loss: 0.0037 - val_mse: 3.2066
Epoch 419/1000
1s - loss: 0.0010 - mse: 0.8779 - val_loss: 0.0037 - val_mse: 3.2049
Epoch 420/1000
1s - loss: 0.0010 - mse: 0.8763 - val_loss: 0.0037 - val_mse: 3.2032
Epoch 421/1000
1s - loss: 0.0010 - mse: 0.8747 - val_loss: 0.0037 - val_mse: 3.2015
Epoch 422/1000
1s - loss: 0.0010 - mse: 0.8731 - val_loss: 0.0037 - val_mse: 3.1998
Epoch 423/1000
1s - loss: 0.0010 - mse: 0.8715 - val_loss: 0.0037 - val_mse: 3.1981
Epoch 424/1000
1s - loss: 9.9891e-04 - mse: 0.8699 - val_loss: 0.0037 - val_mse: 3.1964
Epoch 425/1000
1s - loss: 9.9710e-04 - mse: 0.8683 - val_loss: 0.0037 - val_mse: 3.1946
Epoch 426/1000
1s - loss: 9.9529e-04 - mse: 0.8667 - val_loss: 0.0037 - val_mse: 3.1928
Epoch 427/1000
1s - loss: 9.9348e-04 - mse: 0.8652 - val_loss: 0.0037 - val_mse: 3.1910
Epoch 428/1000
1s - loss: 9.9168e-04 - mse: 0.8636 - val_loss: 0.0037 - val_mse: 3.1893
Epoch 429/1000
1s - loss: 9.8989e-04 - mse: 0.8620 - val_loss: 0.0037 - val_mse: 3.1877
[{'loss': 0.0033503014128655195, 'width0': 135, 'width1': 75, 'val_mse': 6.1875839233398438, 'mse': 2.9175732135772705, 'val_loss': 0.007105313241481781, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.0018494370160624385, 'width0': 135, 'width1': 100, 'val_mse': 3.698413610458374, 'mse': 1.6105610132217407, 'val_loss': 0.0042469552718102932, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.00098988576792180538, 'width0': 135, 'width1': 125, 'val_mse': 3.1876635551452637, 'mse': 0.8620307445526123, 'val_loss': 0.0036604509223252535, 'dropout1': 0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_9 (LSTM)                (None, None, 135)         74520     
_________________________________________________________________
lstm_10 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_5 (TimeDist (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 1.0436 - mse: 908.8286 - val_loss: 1.9815 - val_mse: 1725.5627
Epoch 2/1000
1s - loss: 2.0687 - mse: 1801.5411 - val_loss: 0.5695 - val_mse: 495.9612
Epoch 3/1000
1s - loss: 0.5700 - mse: 496.3499 - val_loss: 0.6486 - val_mse: 564.8232
Epoch 4/1000
1s - loss: 0.6345 - mse: 552.5880 - val_loss: 0.5247 - val_mse: 456.9244
Epoch 5/1000
1s - loss: 0.5093 - mse: 443.5373 - val_loss: 0.2861 - val_mse: 249.1307
Epoch 6/1000
1s - loss: 0.2793 - mse: 243.1973 - val_loss: 0.2019 - val_mse: 175.8373
Epoch 7/1000
1s - loss: 0.1946 - mse: 169.5047 - val_loss: 0.2279 - val_mse: 198.4827
Epoch 8/1000
1s - loss: 0.2131 - mse: 185.5636 - val_loss: 0.1711 - val_mse: 149.0104
Epoch 9/1000
1s - loss: 0.1611 - mse: 140.3083 - val_loss: 0.1295 - val_mse: 112.7766
Epoch 10/1000
1s - loss: 0.1213 - mse: 105.6003 - val_loss: 0.1037 - val_mse: 90.3174
Epoch 11/1000
1s - loss: 0.0956 - mse: 83.2729 - val_loss: 0.1180 - val_mse: 102.7740
Epoch 12/1000
1s - loss: 0.1112 - mse: 96.8807 - val_loss: 0.1364 - val_mse: 118.8166
Epoch 13/1000
1s - loss: 0.1301 - mse: 113.3171 - val_loss: 0.1236 - val_mse: 107.6166
Epoch 14/1000
1s - loss: 0.1168 - mse: 101.6825 - val_loss: 0.1031 - val_mse: 89.7495
Epoch 15/1000
1s - loss: 0.0956 - mse: 83.2824 - val_loss: 0.0882 - val_mse: 76.7907
Epoch 16/1000
1s - loss: 0.0808 - mse: 70.3285 - val_loss: 0.0761 - val_mse: 66.2292
Epoch 17/1000
1s - loss: 0.0695 - mse: 60.5128 - val_loss: 0.0666 - val_mse: 58.0176
Epoch 18/1000
1s - loss: 0.0615 - mse: 53.5166 - val_loss: 0.0628 - val_mse: 54.6526
Epoch 19/1000
1s - loss: 0.0589 - mse: 51.3269 - val_loss: 0.0637 - val_mse: 55.4800
Epoch 20/1000
1s - loss: 0.0607 - mse: 52.8630 - val_loss: 0.0631 - val_mse: 54.9202
Epoch 21/1000
1s - loss: 0.0604 - mse: 52.5804 - val_loss: 0.0567 - val_mse: 49.3401
Epoch 22/1000
1s - loss: 0.0541 - mse: 47.1440 - val_loss: 0.0489 - val_mse: 42.5914
Epoch 23/1000
1s - loss: 0.0465 - mse: 40.4728 - val_loss: 0.0458 - val_mse: 39.8452
Epoch 24/1000
1s - loss: 0.0432 - mse: 37.6384 - val_loss: 0.0469 - val_mse: 40.8601
Epoch 25/1000
1s - loss: 0.0442 - mse: 38.4805 - val_loss: 0.0482 - val_mse: 41.9577
Epoch 26/1000
1s - loss: 0.0454 - mse: 39.5259 - val_loss: 0.0469 - val_mse: 40.8038
Epoch 27/1000
1s - loss: 0.0442 - mse: 38.5264 - val_loss: 0.0436 - val_mse: 37.9715
Epoch 28/1000
1s - loss: 0.0413 - mse: 35.9571 - val_loss: 0.0404 - val_mse: 35.1813
Epoch 29/1000
1s - loss: 0.0383 - mse: 33.3792 - val_loss: 0.0378 - val_mse: 32.9422
Epoch 30/1000
1s - loss: 0.0359 - mse: 31.2499 - val_loss: 0.0353 - val_mse: 30.7132
Epoch 31/1000
1s - loss: 0.0334 - mse: 29.0848 - val_loss: 0.0332 - val_mse: 28.9383
Epoch 32/1000
1s - loss: 0.0314 - mse: 27.3373 - val_loss: 0.0328 - val_mse: 28.5310
Epoch 33/1000
1s - loss: 0.0309 - mse: 26.9089 - val_loss: 0.0332 - val_mse: 28.9069
Epoch 34/1000
1s - loss: 0.0313 - mse: 27.2706 - val_loss: 0.0328 - val_mse: 28.5251
Epoch 35/1000
1s - loss: 0.0309 - mse: 26.8926 - val_loss: 0.0309 - val_mse: 26.9117
Epoch 36/1000
1s - loss: 0.0289 - mse: 25.1643 - val_loss: 0.0287 - val_mse: 25.0136
Epoch 37/1000
1s - loss: 0.0263 - mse: 22.9096 - val_loss: 0.0274 - val_mse: 23.8547
Epoch 38/1000
1s - loss: 0.0244 - mse: 21.2436 - val_loss: 0.0269 - val_mse: 23.3986
Epoch 39/1000
1s - loss: 0.0234 - mse: 20.3856 - val_loss: 0.0263 - val_mse: 22.8892
Epoch 40/1000
1s - loss: 0.0227 - mse: 19.7836 - val_loss: 0.0253 - val_mse: 22.0012
Epoch 41/1000
1s - loss: 0.0219 - mse: 19.0905 - val_loss: 0.0242 - val_mse: 21.0905
Epoch 42/1000
1s - loss: 0.0212 - mse: 18.4883 - val_loss: 0.0235 - val_mse: 20.4320
Epoch 43/1000
1s - loss: 0.0208 - mse: 18.1045 - val_loss: 0.0228 - val_mse: 19.8118
Epoch 44/1000
1s - loss: 0.0203 - mse: 17.6851 - val_loss: 0.0218 - val_mse: 18.9901
Epoch 45/1000
1s - loss: 0.0195 - mse: 17.0062 - val_loss: 0.0208 - val_mse: 18.1106
Epoch 46/1000
1s - loss: 0.0186 - mse: 16.1989 - val_loss: 0.0201 - val_mse: 17.4617
Epoch 47/1000
1s - loss: 0.0178 - mse: 15.5208 - val_loss: 0.0196 - val_mse: 17.0404
Epoch 48/1000
1s - loss: 0.0172 - mse: 14.9892 - val_loss: 0.0191 - val_mse: 16.6102
Epoch 49/1000
1s - loss: 0.0166 - mse: 14.4517 - val_loss: 0.0185 - val_mse: 16.0997
Epoch 50/1000
1s - loss: 0.0160 - mse: 13.9118 - val_loss: 0.0180 - val_mse: 15.6415
Epoch 51/1000
1s - loss: 0.0155 - mse: 13.5052 - val_loss: 0.0175 - val_mse: 15.2699
Epoch 52/1000
1s - loss: 0.0152 - mse: 13.2230 - val_loss: 0.0171 - val_mse: 14.8682
Epoch 53/1000
1s - loss: 0.0148 - mse: 12.9062 - val_loss: 0.0165 - val_mse: 14.3797
Epoch 54/1000
1s - loss: 0.0143 - mse: 12.4842 - val_loss: 0.0160 - val_mse: 13.9186
Epoch 55/1000
1s - loss: 0.0139 - mse: 12.0753 - val_loss: 0.0156 - val_mse: 13.6069
Epoch 56/1000
1s - loss: 0.0136 - mse: 11.8163 - val_loss: 0.0154 - val_mse: 13.4019
Epoch 57/1000
1s - loss: 0.0134 - mse: 11.6782 - val_loss: 0.0151 - val_mse: 13.1683
Epoch 58/1000
1s - loss: 0.0132 - mse: 11.5251 - val_loss: 0.0148 - val_mse: 12.8607
Epoch 59/1000
1s - loss: 0.0130 - mse: 11.2952 - val_loss: 0.0144 - val_mse: 12.5282
Epoch 60/1000
1s - loss: 0.0127 - mse: 11.0195 - val_loss: 0.0140 - val_mse: 12.2049
Epoch 61/1000
1s - loss: 0.0123 - mse: 10.7254 - val_loss: 0.0137 - val_mse: 11.9137
Epoch 62/1000
1s - loss: 0.0120 - mse: 10.4328 - val_loss: 0.0134 - val_mse: 11.7055
Epoch 63/1000
1s - loss: 0.0117 - mse: 10.1926 - val_loss: 0.0133 - val_mse: 11.6047
Epoch 64/1000
1s - loss: 0.0115 - mse: 10.0408 - val_loss: 0.0132 - val_mse: 11.5315
Epoch 65/1000
1s - loss: 0.0114 - mse: 9.9263 - val_loss: 0.0131 - val_mse: 11.3723
Epoch 66/1000
1s - loss: 0.0112 - mse: 9.7592 - val_loss: 0.0128 - val_mse: 11.1111
Epoch 67/1000
1s - loss: 0.0109 - mse: 9.5210 - val_loss: 0.0124 - val_mse: 10.8345
Epoch 68/1000
1s - loss: 0.0106 - mse: 9.2735 - val_loss: 0.0122 - val_mse: 10.6203
Epoch 69/1000
1s - loss: 0.0104 - mse: 9.0702 - val_loss: 0.0120 - val_mse: 10.4670
Epoch 70/1000
1s - loss: 0.0102 - mse: 8.9056 - val_loss: 0.0119 - val_mse: 10.3406
Epoch 71/1000
1s - loss: 0.0101 - mse: 8.7529 - val_loss: 0.0117 - val_mse: 10.2241
Epoch 72/1000
1s - loss: 0.0099 - mse: 8.6034 - val_loss: 0.0116 - val_mse: 10.1059
Epoch 73/1000
1s - loss: 0.0097 - mse: 8.4518 - val_loss: 0.0114 - val_mse: 9.9664
Epoch 74/1000
1s - loss: 0.0095 - mse: 8.2870 - val_loss: 0.0113 - val_mse: 9.7985
Epoch 75/1000
1s - loss: 0.0093 - mse: 8.1117 - val_loss: 0.0110 - val_mse: 9.6197
Epoch 76/1000
1s - loss: 0.0091 - mse: 7.9482 - val_loss: 0.0108 - val_mse: 9.4422
Epoch 77/1000
1s - loss: 0.0090 - mse: 7.8063 - val_loss: 0.0106 - val_mse: 9.2596
Epoch 78/1000
1s - loss: 0.0088 - mse: 7.6718 - val_loss: 0.0104 - val_mse: 9.0676
Epoch 79/1000
1s - loss: 0.0086 - mse: 7.5313 - val_loss: 0.0102 - val_mse: 8.8818
Epoch 80/1000
1s - loss: 0.0085 - mse: 7.3905 - val_loss: 0.0100 - val_mse: 8.7203
Epoch 81/1000
1s - loss: 0.0083 - mse: 7.2607 - val_loss: 0.0099 - val_mse: 8.5833
Epoch 82/1000
1s - loss: 0.0082 - mse: 7.1386 - val_loss: 0.0097 - val_mse: 8.4655
Epoch 83/1000
1s - loss: 0.0081 - mse: 7.0181 - val_loss: 0.0096 - val_mse: 8.3669
Epoch 84/1000
1s - loss: 0.0079 - mse: 6.9010 - val_loss: 0.0095 - val_mse: 8.2875
Epoch 85/1000
1s - loss: 0.0078 - mse: 6.7927 - val_loss: 0.0094 - val_mse: 8.2189
Epoch 86/1000
1s - loss: 0.0077 - mse: 6.6933 - val_loss: 0.0094 - val_mse: 8.1459
Epoch 87/1000
1s - loss: 0.0076 - mse: 6.5958 - val_loss: 0.0093 - val_mse: 8.0644
Epoch 88/1000
1s - loss: 0.0075 - mse: 6.5009 - val_loss: 0.0092 - val_mse: 7.9746
Epoch 89/1000
1s - loss: 0.0074 - mse: 6.4106 - val_loss: 0.0090 - val_mse: 7.8775
Epoch 90/1000
1s - loss: 0.0073 - mse: 6.3233 - val_loss: 0.0089 - val_mse: 7.7785
Epoch 91/1000
1s - loss: 0.0072 - mse: 6.2383 - val_loss: 0.0088 - val_mse: 7.6886
Epoch 92/1000
1s - loss: 0.0071 - mse: 6.1582 - val_loss: 0.0087 - val_mse: 7.6146
Epoch 93/1000
1s - loss: 0.0070 - mse: 6.0832 - val_loss: 0.0087 - val_mse: 7.5516
Epoch 94/1000
1s - loss: 0.0069 - mse: 6.0099 - val_loss: 0.0086 - val_mse: 7.4951
Epoch 95/1000
1s - loss: 0.0068 - mse: 5.9361 - val_loss: 0.0085 - val_mse: 7.4423
Epoch 96/1000
1s - loss: 0.0067 - mse: 5.8641 - val_loss: 0.0085 - val_mse: 7.3908
Epoch 97/1000
1s - loss: 0.0067 - mse: 5.7967 - val_loss: 0.0084 - val_mse: 7.3360
Epoch 98/1000
1s - loss: 0.0066 - mse: 5.7334 - val_loss: 0.0084 - val_mse: 7.2746
Epoch 99/1000
1s - loss: 0.0065 - mse: 5.6722 - val_loss: 0.0083 - val_mse: 7.2080
Epoch 100/1000
1s - loss: 0.0064 - mse: 5.6123 - val_loss: 0.0082 - val_mse: 7.1398
Epoch 101/1000
1s - loss: 0.0064 - mse: 5.5533 - val_loss: 0.0081 - val_mse: 7.0734
Epoch 102/1000
1s - loss: 0.0063 - mse: 5.4947 - val_loss: 0.0081 - val_mse: 7.0126
Epoch 103/1000
1s - loss: 0.0062 - mse: 5.4369 - val_loss: 0.0080 - val_mse: 6.9603
Epoch 104/1000
1s - loss: 0.0062 - mse: 5.3814 - val_loss: 0.0079 - val_mse: 6.9155
Epoch 105/1000
1s - loss: 0.0061 - mse: 5.3278 - val_loss: 0.0079 - val_mse: 6.8750
Epoch 106/1000
1s - loss: 0.0061 - mse: 5.2752 - val_loss: 0.0078 - val_mse: 6.8347
Epoch 107/1000
1s - loss: 0.0060 - mse: 5.2228 - val_loss: 0.0078 - val_mse: 6.7926
Epoch 108/1000
1s - loss: 0.0059 - mse: 5.1710 - val_loss: 0.0077 - val_mse: 6.7473
Epoch 109/1000
1s - loss: 0.0059 - mse: 5.1201 - val_loss: 0.0077 - val_mse: 6.6988
Epoch 110/1000
1s - loss: 0.0058 - mse: 5.0702 - val_loss: 0.0076 - val_mse: 6.6481
Epoch 111/1000
1s - loss: 0.0058 - mse: 5.0214 - val_loss: 0.0076 - val_mse: 6.5975
Epoch 112/1000
1s - loss: 0.0057 - mse: 4.9739 - val_loss: 0.0075 - val_mse: 6.5485
Epoch 113/1000
1s - loss: 0.0057 - mse: 4.9271 - val_loss: 0.0075 - val_mse: 6.5024
Epoch 114/1000
1s - loss: 0.0056 - mse: 4.8806 - val_loss: 0.0074 - val_mse: 6.4602
Epoch 115/1000
1s - loss: 0.0056 - mse: 4.8347 - val_loss: 0.0074 - val_mse: 6.4214
Epoch 116/1000
1s - loss: 0.0055 - mse: 4.7901 - val_loss: 0.0073 - val_mse: 6.3838
Epoch 117/1000
1s - loss: 0.0055 - mse: 4.7463 - val_loss: 0.0073 - val_mse: 6.3449
Epoch 118/1000
1s - loss: 0.0054 - mse: 4.7030 - val_loss: 0.0072 - val_mse: 6.3038
Epoch 119/1000
1s - loss: 0.0054 - mse: 4.6600 - val_loss: 0.0072 - val_mse: 6.2608
Epoch 120/1000
1s - loss: 0.0053 - mse: 4.6173 - val_loss: 0.0071 - val_mse: 6.2173
Epoch 121/1000
1s - loss: 0.0053 - mse: 4.5750 - val_loss: 0.0071 - val_mse: 6.1752
Epoch 122/1000
1s - loss: 0.0052 - mse: 4.5333 - val_loss: 0.0070 - val_mse: 6.1356
Epoch 123/1000
1s - loss: 0.0052 - mse: 4.4921 - val_loss: 0.0070 - val_mse: 6.0984
Epoch 124/1000
1s - loss: 0.0051 - mse: 4.4514 - val_loss: 0.0070 - val_mse: 6.0623
Epoch 125/1000
1s - loss: 0.0051 - mse: 4.4109 - val_loss: 0.0069 - val_mse: 6.0259
Epoch 126/1000
1s - loss: 0.0050 - mse: 4.3708 - val_loss: 0.0069 - val_mse: 5.9884
Epoch 127/1000
1s - loss: 0.0050 - mse: 4.3310 - val_loss: 0.0068 - val_mse: 5.9495
Epoch 128/1000
1s - loss: 0.0049 - mse: 4.2915 - val_loss: 0.0068 - val_mse: 5.9093
Epoch 129/1000
1s - loss: 0.0049 - mse: 4.2523 - val_loss: 0.0067 - val_mse: 5.8688
Epoch 130/1000
1s - loss: 0.0048 - mse: 4.2136 - val_loss: 0.0067 - val_mse: 5.8292
Epoch 131/1000
1s - loss: 0.0048 - mse: 4.1752 - val_loss: 0.0066 - val_mse: 5.7910
Epoch 132/1000
1s - loss: 0.0048 - mse: 4.1370 - val_loss: 0.0066 - val_mse: 5.7544
Epoch 133/1000
1s - loss: 0.0047 - mse: 4.0990 - val_loss: 0.0066 - val_mse: 5.7194
Epoch 134/1000
1s - loss: 0.0047 - mse: 4.0612 - val_loss: 0.0065 - val_mse: 5.6860
Epoch 135/1000
1s - loss: 0.0046 - mse: 4.0237 - val_loss: 0.0065 - val_mse: 5.6532
Epoch 136/1000
1s - loss: 0.0046 - mse: 3.9863 - val_loss: 0.0065 - val_mse: 5.6207
Epoch 137/1000
1s - loss: 0.0045 - mse: 3.9488 - val_loss: 0.0064 - val_mse: 5.5879
Epoch 138/1000
1s - loss: 0.0045 - mse: 3.9116 - val_loss: 0.0064 - val_mse: 5.5545
Epoch 139/1000
1s - loss: 0.0044 - mse: 3.8743 - val_loss: 0.0063 - val_mse: 5.5208
Epoch 140/1000
1s - loss: 0.0044 - mse: 3.8373 - val_loss: 0.0063 - val_mse: 5.4867
Epoch 141/1000
1s - loss: 0.0044 - mse: 3.8003 - val_loss: 0.0063 - val_mse: 5.4525
Epoch 142/1000
1s - loss: 0.0043 - mse: 3.7633 - val_loss: 0.0062 - val_mse: 5.4187
Epoch 143/1000
1s - loss: 0.0043 - mse: 3.7262 - val_loss: 0.0062 - val_mse: 5.3852
Epoch 144/1000
1s - loss: 0.0042 - mse: 3.6889 - val_loss: 0.0061 - val_mse: 5.3520
Epoch 145/1000
1s - loss: 0.0042 - mse: 3.6514 - val_loss: 0.0061 - val_mse: 5.3187
Epoch 146/1000
1s - loss: 0.0041 - mse: 3.6137 - val_loss: 0.0061 - val_mse: 5.2849
Epoch 147/1000
1s - loss: 0.0041 - mse: 3.5758 - val_loss: 0.0060 - val_mse: 5.2507
Epoch 148/1000
1s - loss: 0.0041 - mse: 3.5376 - val_loss: 0.0060 - val_mse: 5.2162
Epoch 149/1000
1s - loss: 0.0040 - mse: 3.4995 - val_loss: 0.0060 - val_mse: 5.1821
Epoch 150/1000
1s - loss: 0.0040 - mse: 3.4614 - val_loss: 0.0059 - val_mse: 5.1481
Epoch 151/1000
1s - loss: 0.0039 - mse: 3.4231 - val_loss: 0.0059 - val_mse: 5.1142
Epoch 152/1000
1s - loss: 0.0039 - mse: 3.3846 - val_loss: 0.0058 - val_mse: 5.0801
Epoch 153/1000
1s - loss: 0.0038 - mse: 3.3459 - val_loss: 0.0058 - val_mse: 5.0458
Epoch 154/1000
1s - loss: 0.0038 - mse: 3.3069 - val_loss: 0.0058 - val_mse: 5.0115
Epoch 155/1000
1s - loss: 0.0038 - mse: 3.2677 - val_loss: 0.0057 - val_mse: 4.9774
Epoch 156/1000
1s - loss: 0.0037 - mse: 3.2282 - val_loss: 0.0057 - val_mse: 4.9432
Epoch 157/1000
1s - loss: 0.0037 - mse: 3.1884 - val_loss: 0.0056 - val_mse: 4.9091
Epoch 158/1000
1s - loss: 0.0036 - mse: 3.1482 - val_loss: 0.0056 - val_mse: 4.8748
Epoch 159/1000
1s - loss: 0.0036 - mse: 3.1078 - val_loss: 0.0056 - val_mse: 4.8403
Epoch 160/1000
1s - loss: 0.0035 - mse: 3.0670 - val_loss: 0.0055 - val_mse: 4.8058
Epoch 161/1000
1s - loss: 0.0035 - mse: 3.0258 - val_loss: 0.0055 - val_mse: 4.7713
Epoch 162/1000
1s - loss: 0.0034 - mse: 2.9845 - val_loss: 0.0054 - val_mse: 4.7370
Epoch 163/1000
1s - loss: 0.0034 - mse: 2.9434 - val_loss: 0.0054 - val_mse: 4.7024
Epoch 164/1000
1s - loss: 0.0033 - mse: 2.9023 - val_loss: 0.0054 - val_mse: 4.6671
Epoch 165/1000
1s - loss: 0.0033 - mse: 2.8609 - val_loss: 0.0053 - val_mse: 4.6314
Epoch 166/1000
1s - loss: 0.0032 - mse: 2.8194 - val_loss: 0.0053 - val_mse: 4.5959
Epoch 167/1000
1s - loss: 0.0032 - mse: 2.7778 - val_loss: 0.0052 - val_mse: 4.5611
Epoch 168/1000
1s - loss: 0.0031 - mse: 2.7363 - val_loss: 0.0052 - val_mse: 4.5269
Epoch 169/1000
1s - loss: 0.0031 - mse: 2.6948 - val_loss: 0.0052 - val_mse: 4.4934
Epoch 170/1000
1s - loss: 0.0030 - mse: 2.6537 - val_loss: 0.0051 - val_mse: 4.4601
Epoch 171/1000
1s - loss: 0.0030 - mse: 2.6131 - val_loss: 0.0051 - val_mse: 4.4267
Epoch 172/1000
1s - loss: 0.0030 - mse: 2.5728 - val_loss: 0.0050 - val_mse: 4.3931
Epoch 173/1000
1s - loss: 0.0029 - mse: 2.5328 - val_loss: 0.0050 - val_mse: 4.3594
Epoch 174/1000
1s - loss: 0.0029 - mse: 2.4932 - val_loss: 0.0050 - val_mse: 4.3259
Epoch 175/1000
1s - loss: 0.0028 - mse: 2.4539 - val_loss: 0.0049 - val_mse: 4.2927
Epoch 176/1000
1s - loss: 0.0028 - mse: 2.4150 - val_loss: 0.0049 - val_mse: 4.2600
Epoch 177/1000
1s - loss: 0.0027 - mse: 2.3765 - val_loss: 0.0049 - val_mse: 4.2277
Epoch 178/1000
1s - loss: 0.0027 - mse: 2.3383 - val_loss: 0.0048 - val_mse: 4.1961
Epoch 179/1000
1s - loss: 0.0026 - mse: 2.3006 - val_loss: 0.0048 - val_mse: 4.1661
Epoch 180/1000
1s - loss: 0.0026 - mse: 2.2638 - val_loss: 0.0048 - val_mse: 4.1366
Epoch 181/1000
1s - loss: 0.0026 - mse: 2.2277 - val_loss: 0.0047 - val_mse: 4.1072
Epoch 182/1000
1s - loss: 0.0025 - mse: 2.1923 - val_loss: 0.0047 - val_mse: 4.0778
Epoch 183/1000
1s - loss: 0.0025 - mse: 2.1576 - val_loss: 0.0046 - val_mse: 4.0487
Epoch 184/1000
1s - loss: 0.0024 - mse: 2.1237 - val_loss: 0.0046 - val_mse: 4.0197
Epoch 185/1000
1s - loss: 0.0024 - mse: 2.0906 - val_loss: 0.0046 - val_mse: 3.9915
Epoch 186/1000
1s - loss: 0.0024 - mse: 2.0582 - val_loss: 0.0046 - val_mse: 3.9641
Epoch 187/1000
1s - loss: 0.0023 - mse: 2.0267 - val_loss: 0.0045 - val_mse: 3.9372
Epoch 188/1000
1s - loss: 0.0023 - mse: 1.9960 - val_loss: 0.0045 - val_mse: 3.9109
Epoch 189/1000
1s - loss: 0.0023 - mse: 1.9661 - val_loss: 0.0045 - val_mse: 3.8850
Epoch 190/1000
1s - loss: 0.0022 - mse: 1.9369 - val_loss: 0.0044 - val_mse: 3.8593
Epoch 191/1000
1s - loss: 0.0022 - mse: 1.9084 - val_loss: 0.0044 - val_mse: 3.8342
Epoch 192/1000
1s - loss: 0.0022 - mse: 1.8806 - val_loss: 0.0044 - val_mse: 3.8093
Epoch 193/1000
1s - loss: 0.0021 - mse: 1.8535 - val_loss: 0.0043 - val_mse: 3.7847
Epoch 194/1000
1s - loss: 0.0021 - mse: 1.8270 - val_loss: 0.0043 - val_mse: 3.7605
Epoch 195/1000
1s - loss: 0.0021 - mse: 1.8012 - val_loss: 0.0043 - val_mse: 3.7367
Epoch 196/1000
1s - loss: 0.0020 - mse: 1.7762 - val_loss: 0.0043 - val_mse: 3.7131
Epoch 197/1000
1s - loss: 0.0020 - mse: 1.7518 - val_loss: 0.0042 - val_mse: 3.6898
Epoch 198/1000
1s - loss: 0.0020 - mse: 1.7280 - val_loss: 0.0042 - val_mse: 3.6669
Epoch 199/1000
1s - loss: 0.0020 - mse: 1.7048 - val_loss: 0.0042 - val_mse: 3.6442
Epoch 200/1000
1s - loss: 0.0019 - mse: 1.6823 - val_loss: 0.0042 - val_mse: 3.6216
Epoch 201/1000
1s - loss: 0.0019 - mse: 1.6604 - val_loss: 0.0041 - val_mse: 3.5994
Epoch 202/1000
1s - loss: 0.0019 - mse: 1.6389 - val_loss: 0.0041 - val_mse: 3.5777
Epoch 203/1000
1s - loss: 0.0019 - mse: 1.6181 - val_loss: 0.0041 - val_mse: 3.5566
Epoch 204/1000
1s - loss: 0.0018 - mse: 1.5977 - val_loss: 0.0041 - val_mse: 3.5358
Epoch 205/1000
1s - loss: 0.0018 - mse: 1.5777 - val_loss: 0.0040 - val_mse: 3.5156
Epoch 206/1000
1s - loss: 0.0018 - mse: 1.5581 - val_loss: 0.0040 - val_mse: 3.4960
Epoch 207/1000
1s - loss: 0.0018 - mse: 1.5391 - val_loss: 0.0040 - val_mse: 3.4767
Epoch 208/1000
1s - loss: 0.0017 - mse: 1.5200 - val_loss: 0.0040 - val_mse: 3.4578
Epoch 209/1000
1s - loss: 0.0017 - mse: 1.5013 - val_loss: 0.0039 - val_mse: 3.4390
Epoch 210/1000
1s - loss: 0.0017 - mse: 1.4829 - val_loss: 0.0039 - val_mse: 3.4204
Epoch 211/1000
1s - loss: 0.0017 - mse: 1.4649 - val_loss: 0.0039 - val_mse: 3.4020
Epoch 212/1000
1s - loss: 0.0017 - mse: 1.4472 - val_loss: 0.0039 - val_mse: 3.3838
Epoch 213/1000
1s - loss: 0.0016 - mse: 1.4298 - val_loss: 0.0039 - val_mse: 3.3659
Epoch 214/1000
1s - loss: 0.0016 - mse: 1.4128 - val_loss: 0.0038 - val_mse: 3.3483
Epoch 215/1000
1s - loss: 0.0016 - mse: 1.3961 - val_loss: 0.0038 - val_mse: 3.3310
Epoch 216/1000
1s - loss: 0.0016 - mse: 1.3797 - val_loss: 0.0038 - val_mse: 3.3139
Epoch 217/1000
1s - loss: 0.0016 - mse: 1.3636 - val_loss: 0.0038 - val_mse: 3.2973
Epoch 218/1000

Epoch 00217: reducing learning rate to 0.00699999984354.
1s - loss: 0.0015 - mse: 1.3477 - val_loss: 0.0038 - val_mse: 3.2812
Epoch 219/1000
1s - loss: 0.0015 - mse: 1.3321 - val_loss: 0.0038 - val_mse: 3.2702
Epoch 220/1000
1s - loss: 0.0015 - mse: 1.3214 - val_loss: 0.0037 - val_mse: 3.2594
Epoch 221/1000
1s - loss: 0.0015 - mse: 1.3108 - val_loss: 0.0037 - val_mse: 3.2487
Epoch 222/1000
1s - loss: 0.0015 - mse: 1.3004 - val_loss: 0.0037 - val_mse: 3.2381
Epoch 223/1000
1s - loss: 0.0015 - mse: 1.2900 - val_loss: 0.0037 - val_mse: 3.2276
Epoch 224/1000
1s - loss: 0.0015 - mse: 1.2798 - val_loss: 0.0037 - val_mse: 3.2172
Epoch 225/1000
1s - loss: 0.0015 - mse: 1.2697 - val_loss: 0.0037 - val_mse: 3.2067
Epoch 226/1000
1s - loss: 0.0014 - mse: 1.2597 - val_loss: 0.0037 - val_mse: 3.1963
Epoch 227/1000
1s - loss: 0.0014 - mse: 1.2496 - val_loss: 0.0037 - val_mse: 3.1861
Epoch 228/1000
1s - loss: 0.0014 - mse: 1.2396 - val_loss: 0.0036 - val_mse: 3.1759
Epoch 229/1000
1s - loss: 0.0014 - mse: 1.2301 - val_loss: 0.0036 - val_mse: 3.1657
Epoch 230/1000
1s - loss: 0.0014 - mse: 1.2207 - val_loss: 0.0036 - val_mse: 3.1554
Epoch 231/1000
1s - loss: 0.0014 - mse: 1.2114 - val_loss: 0.0036 - val_mse: 3.1451
Epoch 232/1000
1s - loss: 0.0014 - mse: 1.2022 - val_loss: 0.0036 - val_mse: 3.1348
Epoch 233/1000

Epoch 00232: reducing learning rate to 0.00489999982528.
1s - loss: 0.0014 - mse: 1.1932 - val_loss: 0.0036 - val_mse: 3.1245
Epoch 234/1000
1s - loss: 0.0014 - mse: 1.1843 - val_loss: 0.0036 - val_mse: 3.1173
Epoch 235/1000
1s - loss: 0.0014 - mse: 1.1782 - val_loss: 0.0036 - val_mse: 3.1100
Epoch 236/1000
1s - loss: 0.0013 - mse: 1.1721 - val_loss: 0.0036 - val_mse: 3.1028
Epoch 237/1000
1s - loss: 0.0013 - mse: 1.1662 - val_loss: 0.0036 - val_mse: 3.0956
Epoch 238/1000
1s - loss: 0.0013 - mse: 1.1603 - val_loss: 0.0035 - val_mse: 3.0885
Epoch 239/1000
1s - loss: 0.0013 - mse: 1.1545 - val_loss: 0.0035 - val_mse: 3.0815
Epoch 240/1000
1s - loss: 0.0013 - mse: 1.1488 - val_loss: 0.0035 - val_mse: 3.0745
Epoch 241/1000
1s - loss: 0.0013 - mse: 1.1432 - val_loss: 0.0035 - val_mse: 3.0677
Epoch 242/1000
1s - loss: 0.0013 - mse: 1.1378 - val_loss: 0.0035 - val_mse: 3.0610
Epoch 243/1000
1s - loss: 0.0013 - mse: 1.1325 - val_loss: 0.0035 - val_mse: 3.0544
Epoch 244/1000
1s - loss: 0.0013 - mse: 1.1272 - val_loss: 0.0035 - val_mse: 3.0480
Epoch 245/1000
1s - loss: 0.0013 - mse: 1.1219 - val_loss: 0.0035 - val_mse: 3.0415
Epoch 246/1000
1s - loss: 0.0013 - mse: 1.1167 - val_loss: 0.0035 - val_mse: 3.0352
Epoch 247/1000

Epoch 00246: reducing learning rate to 0.00343000004068.
1s - loss: 0.0013 - mse: 1.1115 - val_loss: 0.0035 - val_mse: 3.0290
Epoch 248/1000
1s - loss: 0.0013 - mse: 1.1064 - val_loss: 0.0035 - val_mse: 3.0248
Epoch 249/1000
1s - loss: 0.0013 - mse: 1.1029 - val_loss: 0.0035 - val_mse: 3.0205
Epoch 250/1000
1s - loss: 0.0013 - mse: 1.0994 - val_loss: 0.0035 - val_mse: 3.0163
Epoch 251/1000
1s - loss: 0.0013 - mse: 1.0959 - val_loss: 0.0035 - val_mse: 3.0121
Epoch 252/1000
1s - loss: 0.0013 - mse: 1.0925 - val_loss: 0.0035 - val_mse: 3.0080
Epoch 253/1000
1s - loss: 0.0013 - mse: 1.0891 - val_loss: 0.0034 - val_mse: 3.0039
Epoch 254/1000
1s - loss: 0.0012 - mse: 1.0857 - val_loss: 0.0034 - val_mse: 2.9999
Epoch 255/1000
1s - loss: 0.0012 - mse: 1.0823 - val_loss: 0.0034 - val_mse: 2.9958
Epoch 256/1000
1s - loss: 0.0012 - mse: 1.0790 - val_loss: 0.0034 - val_mse: 2.9918
Epoch 257/1000
1s - loss: 0.0012 - mse: 1.0756 - val_loss: 0.0034 - val_mse: 2.9877
Epoch 258/1000
1s - loss: 0.0012 - mse: 1.0723 - val_loss: 0.0034 - val_mse: 2.9837
Epoch 259/1000
1s - loss: 0.0012 - mse: 1.0690 - val_loss: 0.0034 - val_mse: 2.9796
Epoch 260/1000
1s - loss: 0.0012 - mse: 1.0658 - val_loss: 0.0034 - val_mse: 2.9755
Epoch 261/1000

Epoch 00260: reducing learning rate to 0.00240100002848.
1s - loss: 0.0012 - mse: 1.0625 - val_loss: 0.0034 - val_mse: 2.9715
Epoch 262/1000
1s - loss: 0.0012 - mse: 1.0593 - val_loss: 0.0034 - val_mse: 2.9687
Epoch 263/1000
1s - loss: 0.0012 - mse: 1.0571 - val_loss: 0.0034 - val_mse: 2.9658
Epoch 264/1000
1s - loss: 0.0012 - mse: 1.0548 - val_loss: 0.0034 - val_mse: 2.9630
Epoch 265/1000
1s - loss: 0.0012 - mse: 1.0526 - val_loss: 0.0034 - val_mse: 2.9601
Epoch 266/1000
1s - loss: 0.0012 - mse: 1.0504 - val_loss: 0.0034 - val_mse: 2.9573
Epoch 267/1000
1s - loss: 0.0012 - mse: 1.0482 - val_loss: 0.0034 - val_mse: 2.9545
Epoch 268/1000
1s - loss: 0.0012 - mse: 1.0460 - val_loss: 0.0034 - val_mse: 2.9518
Epoch 269/1000
1s - loss: 0.0012 - mse: 1.0439 - val_loss: 0.0034 - val_mse: 2.9490
Epoch 270/1000
1s - loss: 0.0012 - mse: 1.0417 - val_loss: 0.0034 - val_mse: 2.9462
Epoch 271/1000
1s - loss: 0.0012 - mse: 1.0396 - val_loss: 0.0034 - val_mse: 2.9435
Epoch 272/1000
1s - loss: 0.0012 - mse: 1.0374 - val_loss: 0.0034 - val_mse: 2.9407
Epoch 273/1000
1s - loss: 0.0012 - mse: 1.0353 - val_loss: 0.0034 - val_mse: 2.9379
Epoch 274/1000
1s - loss: 0.0012 - mse: 1.0332 - val_loss: 0.0034 - val_mse: 2.9351
Epoch 275/1000

Epoch 00274: reducing learning rate to 0.00168070008513.
1s - loss: 0.0012 - mse: 1.0311 - val_loss: 0.0034 - val_mse: 2.9324
Epoch 276/1000
1s - loss: 0.0012 - mse: 1.0290 - val_loss: 0.0034 - val_mse: 2.9305
Epoch 277/1000
1s - loss: 0.0012 - mse: 1.0276 - val_loss: 0.0034 - val_mse: 2.9286
Epoch 278/1000
1s - loss: 0.0012 - mse: 1.0261 - val_loss: 0.0034 - val_mse: 2.9267
Epoch 279/1000
1s - loss: 0.0012 - mse: 1.0247 - val_loss: 0.0034 - val_mse: 2.9248
Epoch 280/1000
1s - loss: 0.0012 - mse: 1.0232 - val_loss: 0.0034 - val_mse: 2.9230
Epoch 281/1000
1s - loss: 0.0012 - mse: 1.0218 - val_loss: 0.0034 - val_mse: 2.9212
Epoch 282/1000
1s - loss: 0.0012 - mse: 1.0204 - val_loss: 0.0034 - val_mse: 2.9193
Epoch 283/1000
1s - loss: 0.0012 - mse: 1.0190 - val_loss: 0.0034 - val_mse: 2.9176
Epoch 284/1000
1s - loss: 0.0012 - mse: 1.0176 - val_loss: 0.0033 - val_mse: 2.9158
Epoch 285/1000
1s - loss: 0.0012 - mse: 1.0162 - val_loss: 0.0033 - val_mse: 2.9140
[{'loss': 0.0033503014128655195, 'width0': 135, 'width1': 75, 'val_mse': 6.1875839233398438, 'mse': 2.9175732135772705, 'val_loss': 0.007105313241481781, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.0018494370160624385, 'width0': 135, 'width1': 100, 'val_mse': 3.698413610458374, 'mse': 1.6105610132217407, 'val_loss': 0.0042469552718102932, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.00098988576792180538, 'width0': 135, 'width1': 125, 'val_mse': 3.1876635551452637, 'mse': 0.8620307445526123, 'val_loss': 0.0036604509223252535, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.0011669626692309976, 'width0': 135, 'width1': 150, 'val_mse': 2.914015531539917, 'mse': 1.0162359476089478, 'val_loss': 0.0033462168648838997, 'dropout1': 0, 'dropout0': 0}]



In [43]:

    
pd.DataFrame(dropout_perf).loc[:,['width1','mse','val_mse']].set_index('width1').plot()#logy=True)









    Out[43]:





<matplotlib.axes._subplots.AxesSubplot at 0x136bf2d50>

Final run for 2 layers (no dropout)

If we add a second layer, 150 seems a good choice.



In [49]:

    
learningrates3 = {
    'lr_intial' : 1e-2, # higher than the default
    'lr_decay' : 0.01, # for adam it is 1 / (1 + decay * t) , thus with decay 0.001 and at t==1000, lr is divided by 2
                    # note that the effect of this decay is not visible in tensorboard
    'lr_plateau_factor' : 0.7, # if no convergence (possibly by too high lr), we boost the lr decay
    'lr_plateau_patience' : 4, # nr of consequetive epochs without improvement before we boost the lr decay
    'lr_plateau_cooldown' : 10, # first do this nr of iterations at new lr before detecting plateau
    'lr_minimum' : 1e-6, # the minimum lr too which we decay (for plateau detection)

    'stop_patience' : 50, # if no extra improvement after this nr of steps , we terminate learning
    'stop_delta' : 0.0001, # the epsilon, changes below this threshold are 'no improvement'

    'epochs_max' : 1000 # limit the total nr op epochs, very high, we will stop based on plateau
}



In [51]:

    
width1 = 135
width2 = 150
rerun_perf = []
prev_weights = []
for run in range(3):
    fit, results, prev_weights = run_depthn([{'width':width1, 'dropout':0},
                                             {'width':width2, 'dropout':0}
                                            ], learningrates3, None, 'final2nd') # No prev_weights
    results['run']=run
    rerun_perf.append(results)
    print rerun_perf









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_21 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_22 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_11 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.9382 - mse: 817.0059 - val_loss: 0.6523 - val_mse: 568.0666
Epoch 2/1000
1s - loss: 0.6038 - mse: 525.8548 - val_loss: 0.6912 - val_mse: 601.9639
Epoch 3/1000
1s - loss: 0.6882 - mse: 599.2872 - val_loss: 0.4110 - val_mse: 357.9218
Epoch 4/1000
1s - loss: 0.3912 - mse: 340.7106 - val_loss: 0.9569 - val_mse: 833.3126
Epoch 5/1000
1s - loss: 1.0005 - mse: 871.2885 - val_loss: 0.3710 - val_mse: 323.0926
Epoch 6/1000
1s - loss: 0.3626 - mse: 315.8009 - val_loss: 0.4728 - val_mse: 411.7694
Epoch 7/1000
1s - loss: 0.4562 - mse: 397.3150 - val_loss: 0.3979 - val_mse: 346.5014
Epoch 8/1000
1s - loss: 0.3752 - mse: 326.6953 - val_loss: 0.3119 - val_mse: 271.5948
Epoch 9/1000
1s - loss: 0.2915 - mse: 253.8087 - val_loss: 0.2562 - val_mse: 223.1440
Epoch 10/1000
1s - loss: 0.2376 - mse: 206.9051 - val_loss: 0.1800 - val_mse: 156.7583
Epoch 11/1000
1s - loss: 0.1673 - mse: 145.7078 - val_loss: 0.1359 - val_mse: 118.3245
Epoch 12/1000
1s - loss: 0.1236 - mse: 107.6317 - val_loss: 0.1324 - val_mse: 115.2921
Epoch 13/1000
1s - loss: 0.1186 - mse: 103.2725 - val_loss: 0.1415 - val_mse: 123.1972
Epoch 14/1000
1s - loss: 0.1264 - mse: 110.0724 - val_loss: 0.1476 - val_mse: 128.4958
Epoch 15/1000
1s - loss: 0.1320 - mse: 114.9937 - val_loss: 0.1442 - val_mse: 125.6111
Epoch 16/1000
1s - loss: 0.1298 - mse: 113.0412 - val_loss: 0.1291 - val_mse: 112.4657
Epoch 17/1000
1s - loss: 0.1167 - mse: 101.6656 - val_loss: 0.1106 - val_mse: 96.2962
Epoch 18/1000
1s - loss: 0.0999 - mse: 87.0118 - val_loss: 0.0990 - val_mse: 86.2417
Epoch 19/1000
1s - loss: 0.0887 - mse: 77.2059 - val_loss: 0.0973 - val_mse: 84.7423
Epoch 20/1000
1s - loss: 0.0856 - mse: 74.5574 - val_loss: 0.1006 - val_mse: 87.6084
Epoch 21/1000
1s - loss: 0.0872 - mse: 75.9094 - val_loss: 0.1031 - val_mse: 89.7902
Epoch 22/1000
1s - loss: 0.0889 - mse: 77.3770 - val_loss: 0.1024 - val_mse: 89.1465
Epoch 23/1000
1s - loss: 0.0885 - mse: 77.0842 - val_loss: 0.0981 - val_mse: 85.4486
Epoch 24/1000
1s - loss: 0.0853 - mse: 74.3239 - val_loss: 0.0912 - val_mse: 79.3855
Epoch 25/1000
1s - loss: 0.0796 - mse: 69.3375 - val_loss: 0.0834 - val_mse: 72.5917
Epoch 26/1000
1s - loss: 0.0732 - mse: 63.7077 - val_loss: 0.0765 - val_mse: 66.6197
Epoch 27/1000
1s - loss: 0.0679 - mse: 59.1568 - val_loss: 0.0712 - val_mse: 61.9654
Epoch 28/1000
1s - loss: 0.0645 - mse: 56.1301 - val_loss: 0.0673 - val_mse: 58.6460
Epoch 29/1000
1s - loss: 0.0623 - mse: 54.2590 - val_loss: 0.0650 - val_mse: 56.5911
Epoch 30/1000
1s - loss: 0.0610 - mse: 53.1203 - val_loss: 0.0634 - val_mse: 55.2272
Epoch 31/1000
1s - loss: 0.0598 - mse: 52.0721 - val_loss: 0.0621 - val_mse: 54.0372
Epoch 32/1000
1s - loss: 0.0582 - mse: 50.7059 - val_loss: 0.0605 - val_mse: 52.6949
Epoch 33/1000
1s - loss: 0.0561 - mse: 48.8539 - val_loss: 0.0581 - val_mse: 50.6032
Epoch 34/1000
1s - loss: 0.0529 - mse: 46.0799 - val_loss: 0.0554 - val_mse: 48.2800
Epoch 35/1000
1s - loss: 0.0494 - mse: 43.0043 - val_loss: 0.0540 - val_mse: 46.9847
Epoch 36/1000
1s - loss: 0.0470 - mse: 40.9582 - val_loss: 0.0535 - val_mse: 46.6296
Epoch 37/1000
1s - loss: 0.0460 - mse: 40.0181 - val_loss: 0.0530 - val_mse: 46.1602
Epoch 38/1000
1s - loss: 0.0450 - mse: 39.1858 - val_loss: 0.0521 - val_mse: 45.3587
Epoch 39/1000
1s - loss: 0.0439 - mse: 38.2327 - val_loss: 0.0504 - val_mse: 43.8618
Epoch 40/1000
1s - loss: 0.0423 - mse: 36.7972 - val_loss: 0.0479 - val_mse: 41.7481
Epoch 41/1000
1s - loss: 0.0402 - mse: 34.9844 - val_loss: 0.0456 - val_mse: 39.7002
Epoch 42/1000
1s - loss: 0.0384 - mse: 33.4662 - val_loss: 0.0437 - val_mse: 38.0676
Epoch 43/1000
1s - loss: 0.0373 - mse: 32.4596 - val_loss: 0.0421 - val_mse: 36.7047
Epoch 44/1000
1s - loss: 0.0363 - mse: 31.6362 - val_loss: 0.0407 - val_mse: 35.4054
Epoch 45/1000
1s - loss: 0.0352 - mse: 30.6815 - val_loss: 0.0393 - val_mse: 34.1897
Epoch 46/1000
1s - loss: 0.0341 - mse: 29.6811 - val_loss: 0.0380 - val_mse: 33.0913
Epoch 47/1000
1s - loss: 0.0330 - mse: 28.7788 - val_loss: 0.0370 - val_mse: 32.2349
Epoch 48/1000
1s - loss: 0.0323 - mse: 28.1273 - val_loss: 0.0363 - val_mse: 31.5741
Epoch 49/1000
1s - loss: 0.0317 - mse: 27.6437 - val_loss: 0.0354 - val_mse: 30.8150
Epoch 50/1000
1s - loss: 0.0310 - mse: 26.9798 - val_loss: 0.0344 - val_mse: 29.9677
Epoch 51/1000
1s - loss: 0.0300 - mse: 26.1139 - val_loss: 0.0335 - val_mse: 29.2166
Epoch 52/1000
1s - loss: 0.0289 - mse: 25.2020 - val_loss: 0.0330 - val_mse: 28.7399
Epoch 53/1000
1s - loss: 0.0281 - mse: 24.4486 - val_loss: 0.0328 - val_mse: 28.5602
Epoch 54/1000
1s - loss: 0.0275 - mse: 23.9898 - val_loss: 0.0326 - val_mse: 28.3600
Epoch 55/1000
1s - loss: 0.0271 - mse: 23.6274 - val_loss: 0.0320 - val_mse: 27.8273
Epoch 56/1000
1s - loss: 0.0265 - mse: 23.1193 - val_loss: 0.0310 - val_mse: 26.9902
Epoch 57/1000
1s - loss: 0.0258 - mse: 22.4649 - val_loss: 0.0300 - val_mse: 26.1106
Epoch 58/1000
1s - loss: 0.0251 - mse: 21.8452 - val_loss: 0.0292 - val_mse: 25.4145
Epoch 59/1000
1s - loss: 0.0246 - mse: 21.3973 - val_loss: 0.0285 - val_mse: 24.7922
Epoch 60/1000
1s - loss: 0.0241 - mse: 20.9566 - val_loss: 0.0278 - val_mse: 24.2318
Epoch 61/1000
1s - loss: 0.0235 - mse: 20.4736 - val_loss: 0.0273 - val_mse: 23.7600
Epoch 62/1000
1s - loss: 0.0229 - mse: 19.9646 - val_loss: 0.0269 - val_mse: 23.4396
Epoch 63/1000
1s - loss: 0.0224 - mse: 19.5321 - val_loss: 0.0266 - val_mse: 23.1565
Epoch 64/1000
1s - loss: 0.0220 - mse: 19.1617 - val_loss: 0.0262 - val_mse: 22.7744
Epoch 65/1000
1s - loss: 0.0216 - mse: 18.7775 - val_loss: 0.0256 - val_mse: 22.2926
Epoch 66/1000
1s - loss: 0.0211 - mse: 18.3549 - val_loss: 0.0251 - val_mse: 21.8207
Epoch 67/1000
1s - loss: 0.0206 - mse: 17.9594 - val_loss: 0.0246 - val_mse: 21.4312
Epoch 68/1000
1s - loss: 0.0203 - mse: 17.6428 - val_loss: 0.0243 - val_mse: 21.1232
Epoch 69/1000
1s - loss: 0.0199 - mse: 17.3671 - val_loss: 0.0240 - val_mse: 20.8864
Epoch 70/1000
1s - loss: 0.0196 - mse: 17.0740 - val_loss: 0.0237 - val_mse: 20.6605
Epoch 71/1000
1s - loss: 0.0192 - mse: 16.7544 - val_loss: 0.0235 - val_mse: 20.4314
Epoch 72/1000
1s - loss: 0.0189 - mse: 16.4484 - val_loss: 0.0232 - val_mse: 20.2429
Epoch 73/1000
1s - loss: 0.0186 - mse: 16.1806 - val_loss: 0.0231 - val_mse: 20.0782
Epoch 74/1000
1s - loss: 0.0183 - mse: 15.9246 - val_loss: 0.0229 - val_mse: 19.9448
Epoch 75/1000
1s - loss: 0.0180 - mse: 15.6720 - val_loss: 0.0227 - val_mse: 19.7888
Epoch 76/1000
1s - loss: 0.0177 - mse: 15.4266 - val_loss: 0.0226 - val_mse: 19.6402
Epoch 77/1000
1s - loss: 0.0175 - mse: 15.2034 - val_loss: 0.0224 - val_mse: 19.4997
Epoch 78/1000
1s - loss: 0.0172 - mse: 14.9771 - val_loss: 0.0222 - val_mse: 19.3299
Epoch 79/1000
1s - loss: 0.0169 - mse: 14.7472 - val_loss: 0.0220 - val_mse: 19.1888
Epoch 80/1000
1s - loss: 0.0167 - mse: 14.5205 - val_loss: 0.0219 - val_mse: 19.0332
Epoch 81/1000
1s - loss: 0.0165 - mse: 14.3548 - val_loss: 0.0221 - val_mse: 19.2839
Epoch 82/1000
1s - loss: 0.0166 - mse: 14.4900 - val_loss: 0.0231 - val_mse: 20.1392
Epoch 83/1000
1s - loss: 0.0181 - mse: 15.7363 - val_loss: 0.0280 - val_mse: 24.3580
Epoch 84/1000
1s - loss: 0.0229 - mse: 19.9293 - val_loss: 0.0225 - val_mse: 19.6258
Epoch 85/1000
1s - loss: 0.0176 - mse: 15.3625 - val_loss: 0.0212 - val_mse: 18.4378
Epoch 86/1000
1s - loss: 0.0162 - mse: 14.1475 - val_loss: 0.0233 - val_mse: 20.3148
Epoch 87/1000
1s - loss: 0.0182 - mse: 15.8227 - val_loss: 0.0206 - val_mse: 17.9053
Epoch 88/1000
1s - loss: 0.0153 - mse: 13.3589 - val_loss: 0.0223 - val_mse: 19.3825
Epoch 89/1000
1s - loss: 0.0176 - mse: 15.2995 - val_loss: 0.0203 - val_mse: 17.7148
Epoch 90/1000
1s - loss: 0.0151 - mse: 13.1099 - val_loss: 0.0218 - val_mse: 18.9584
Epoch 91/1000
1s - loss: 0.0164 - mse: 14.2835 - val_loss: 0.0199 - val_mse: 17.3314
Epoch 92/1000
1s - loss: 0.0147 - mse: 12.8227 - val_loss: 0.0207 - val_mse: 18.0048
Epoch 93/1000
1s - loss: 0.0158 - mse: 13.7808 - val_loss: 0.0195 - val_mse: 17.0052
Epoch 94/1000
1s - loss: 0.0144 - mse: 12.5543 - val_loss: 0.0202 - val_mse: 17.5737
Epoch 95/1000
1s - loss: 0.0152 - mse: 13.2150 - val_loss: 0.0188 - val_mse: 16.4061
Epoch 96/1000
1s - loss: 0.0140 - mse: 12.1929 - val_loss: 0.0194 - val_mse: 16.8516
Epoch 97/1000
1s - loss: 0.0147 - mse: 12.7790 - val_loss: 0.0185 - val_mse: 16.0857
Epoch 98/1000
1s - loss: 0.0137 - mse: 11.9114 - val_loss: 0.0189 - val_mse: 16.4951
Epoch 99/1000
1s - loss: 0.0142 - mse: 12.3293 - val_loss: 0.0182 - val_mse: 15.8138
Epoch 100/1000
1s - loss: 0.0133 - mse: 11.6038 - val_loss: 0.0186 - val_mse: 16.2240
Epoch 101/1000
1s - loss: 0.0137 - mse: 11.9277 - val_loss: 0.0182 - val_mse: 15.8480
Epoch 102/1000
1s - loss: 0.0130 - mse: 11.3415 - val_loss: 0.0185 - val_mse: 16.0903
Epoch 103/1000
1s - loss: 0.0132 - mse: 11.5297 - val_loss: 0.0180 - val_mse: 15.6928
Epoch 104/1000
1s - loss: 0.0127 - mse: 11.0971 - val_loss: 0.0182 - val_mse: 15.8845
Epoch 105/1000
1s - loss: 0.0128 - mse: 11.1759 - val_loss: 0.0181 - val_mse: 15.7393
Epoch 106/1000
1s - loss: 0.0124 - mse: 10.8279 - val_loss: 0.0180 - val_mse: 15.7003
Epoch 107/1000
1s - loss: 0.0124 - mse: 10.8088 - val_loss: 0.0177 - val_mse: 15.3809
Epoch 108/1000
1s - loss: 0.0121 - mse: 10.5720 - val_loss: 0.0176 - val_mse: 15.3612
Epoch 109/1000
1s - loss: 0.0120 - mse: 10.4773 - val_loss: 0.0176 - val_mse: 15.3236
Epoch 110/1000
1s - loss: 0.0118 - mse: 10.3106 - val_loss: 0.0174 - val_mse: 15.1098
Epoch 111/1000
1s - loss: 0.0117 - mse: 10.1539 - val_loss: 0.0172 - val_mse: 14.9627
Epoch 112/1000
1s - loss: 0.0115 - mse: 10.0537 - val_loss: 0.0171 - val_mse: 14.8987
Epoch 113/1000
1s - loss: 0.0113 - mse: 9.8501 - val_loss: 0.0172 - val_mse: 14.9566
Epoch 114/1000
1s - loss: 0.0112 - mse: 9.7883 - val_loss: 0.0168 - val_mse: 14.6718
Epoch 115/1000
1s - loss: 0.0110 - mse: 9.5621 - val_loss: 0.0168 - val_mse: 14.6193
Epoch 116/1000
1s - loss: 0.0109 - mse: 9.5295 - val_loss: 0.0167 - val_mse: 14.5659
Epoch 117/1000
1s - loss: 0.0107 - mse: 9.2998 - val_loss: 0.0168 - val_mse: 14.6160
Epoch 118/1000
1s - loss: 0.0106 - mse: 9.2500 - val_loss: 0.0164 - val_mse: 14.3193
Epoch 119/1000
1s - loss: 0.0104 - mse: 9.0423 - val_loss: 0.0164 - val_mse: 14.2401
Epoch 120/1000
1s - loss: 0.0103 - mse: 8.9717 - val_loss: 0.0163 - val_mse: 14.2267
Epoch 121/1000
1s - loss: 0.0101 - mse: 8.8013 - val_loss: 0.0163 - val_mse: 14.1818
Epoch 122/1000
1s - loss: 0.0100 - mse: 8.6948 - val_loss: 0.0160 - val_mse: 13.9589
Epoch 123/1000
1s - loss: 0.0098 - mse: 8.5470 - val_loss: 0.0159 - val_mse: 13.8627
Epoch 124/1000
1s - loss: 0.0097 - mse: 8.4467 - val_loss: 0.0158 - val_mse: 13.7857
Epoch 125/1000
1s - loss: 0.0095 - mse: 8.2844 - val_loss: 0.0158 - val_mse: 13.7783
Epoch 126/1000
1s - loss: 0.0094 - mse: 8.2095 - val_loss: 0.0157 - val_mse: 13.6488
Epoch 127/1000
1s - loss: 0.0092 - mse: 8.0487 - val_loss: 0.0155 - val_mse: 13.5375
Epoch 128/1000
1s - loss: 0.0091 - mse: 7.9536 - val_loss: 0.0155 - val_mse: 13.4771
Epoch 129/1000
1s - loss: 0.0090 - mse: 7.8329 - val_loss: 0.0155 - val_mse: 13.5210
Epoch 130/1000
1s - loss: 0.0089 - mse: 7.7412 - val_loss: 0.0153 - val_mse: 13.3619
Epoch 131/1000
1s - loss: 0.0087 - mse: 7.6030 - val_loss: 0.0152 - val_mse: 13.2452
Epoch 132/1000
1s - loss: 0.0086 - mse: 7.5211 - val_loss: 0.0152 - val_mse: 13.2209
Epoch 133/1000
1s - loss: 0.0085 - mse: 7.4197 - val_loss: 0.0151 - val_mse: 13.1298
Epoch 134/1000
1s - loss: 0.0084 - mse: 7.3398 - val_loss: 0.0150 - val_mse: 13.0336
Epoch 135/1000
1s - loss: 0.0083 - mse: 7.2287 - val_loss: 0.0148 - val_mse: 12.8667
Epoch 136/1000
1s - loss: 0.0082 - mse: 7.1397 - val_loss: 0.0147 - val_mse: 12.7997
Epoch 137/1000
1s - loss: 0.0081 - mse: 7.0394 - val_loss: 0.0147 - val_mse: 12.7918
Epoch 138/1000
1s - loss: 0.0080 - mse: 6.9657 - val_loss: 0.0146 - val_mse: 12.6903
Epoch 139/1000
1s - loss: 0.0079 - mse: 6.8844 - val_loss: 0.0145 - val_mse: 12.6691
Epoch 140/1000
1s - loss: 0.0078 - mse: 6.8219 - val_loss: 0.0144 - val_mse: 12.5403
Epoch 141/1000
1s - loss: 0.0078 - mse: 6.7589 - val_loss: 0.0145 - val_mse: 12.6380
Epoch 142/1000
1s - loss: 0.0077 - mse: 6.7321 - val_loss: 0.0144 - val_mse: 12.4986
Epoch 143/1000
1s - loss: 0.0078 - mse: 6.7706 - val_loss: 0.0149 - val_mse: 13.0130
Epoch 144/1000
1s - loss: 0.0081 - mse: 7.0622 - val_loss: 0.0151 - val_mse: 13.1602
Epoch 145/1000

Epoch 00144: reducing learning rate to 0.00699999984354.
2s - loss: 0.0089 - mse: 7.7493 - val_loss: 0.0179 - val_mse: 15.5546
Epoch 146/1000
1s - loss: 0.0112 - mse: 9.7149 - val_loss: 0.0141 - val_mse: 12.2727
Epoch 147/1000
1s - loss: 0.0077 - mse: 6.7453 - val_loss: 0.0151 - val_mse: 13.1771
Epoch 148/1000
1s - loss: 0.0091 - mse: 7.9550 - val_loss: 0.0156 - val_mse: 13.5679
Epoch 149/1000
1s - loss: 0.0090 - mse: 7.8065 - val_loss: 0.0145 - val_mse: 12.6449
Epoch 150/1000
1s - loss: 0.0079 - mse: 6.9203 - val_loss: 0.0148 - val_mse: 12.9293
Epoch 151/1000
1s - loss: 0.0090 - mse: 7.7964 - val_loss: 0.0136 - val_mse: 11.8089
Epoch 152/1000
1s - loss: 0.0073 - mse: 6.3139 - val_loss: 0.0151 - val_mse: 13.1403
Epoch 153/1000
1s - loss: 0.0085 - mse: 7.3855 - val_loss: 0.0137 - val_mse: 11.9304
Epoch 154/1000
1s - loss: 0.0072 - mse: 6.2437 - val_loss: 0.0141 - val_mse: 12.3129
Epoch 155/1000
1s - loss: 0.0081 - mse: 7.0755 - val_loss: 0.0133 - val_mse: 11.5776
Epoch 156/1000
1s - loss: 0.0070 - mse: 6.0934 - val_loss: 0.0143 - val_mse: 12.4236
Epoch 157/1000
1s - loss: 0.0077 - mse: 6.7205 - val_loss: 0.0135 - val_mse: 11.7375
Epoch 158/1000
1s - loss: 0.0070 - mse: 6.0630 - val_loss: 0.0136 - val_mse: 11.8236
Epoch 159/1000
1s - loss: 0.0074 - mse: 6.4522 - val_loss: 0.0132 - val_mse: 11.4728
Epoch 160/1000
1s - loss: 0.0068 - mse: 5.9645 - val_loss: 0.0137 - val_mse: 11.9320
Epoch 161/1000
1s - loss: 0.0071 - mse: 6.2087 - val_loss: 0.0133 - val_mse: 11.6009
Epoch 162/1000
1s - loss: 0.0068 - mse: 5.9171 - val_loss: 0.0131 - val_mse: 11.4241
Epoch 163/1000
1s - loss: 0.0069 - mse: 6.0059 - val_loss: 0.0129 - val_mse: 11.2692
Epoch 164/1000
1s - loss: 0.0067 - mse: 5.8250 - val_loss: 0.0132 - val_mse: 11.4608
Epoch 165/1000
1s - loss: 0.0067 - mse: 5.8447 - val_loss: 0.0130 - val_mse: 11.3089
Epoch 166/1000
1s - loss: 0.0066 - mse: 5.7534 - val_loss: 0.0126 - val_mse: 11.0148
Epoch 167/1000
1s - loss: 0.0065 - mse: 5.6896 - val_loss: 0.0126 - val_mse: 10.9844
Epoch 168/1000
1s - loss: 0.0065 - mse: 5.6604 - val_loss: 0.0127 - val_mse: 11.0830
Epoch 169/1000
1s - loss: 0.0064 - mse: 5.5723 - val_loss: 0.0127 - val_mse: 11.0542
Epoch 170/1000
1s - loss: 0.0064 - mse: 5.5711 - val_loss: 0.0123 - val_mse: 10.7270
Epoch 171/1000
1s - loss: 0.0063 - mse: 5.4551 - val_loss: 0.0123 - val_mse: 10.6942
Epoch 172/1000
1s - loss: 0.0063 - mse: 5.4753 - val_loss: 0.0123 - val_mse: 10.7474
Epoch 173/1000
1s - loss: 0.0062 - mse: 5.3619 - val_loss: 0.0124 - val_mse: 10.7699
Epoch 174/1000
1s - loss: 0.0062 - mse: 5.3765 - val_loss: 0.0121 - val_mse: 10.4982
Epoch 175/1000
1s - loss: 0.0060 - mse: 5.2658 - val_loss: 0.0120 - val_mse: 10.4553
Epoch 176/1000
1s - loss: 0.0061 - mse: 5.2790 - val_loss: 0.0120 - val_mse: 10.4906
Epoch 177/1000
1s - loss: 0.0059 - mse: 5.1812 - val_loss: 0.0121 - val_mse: 10.5136
Epoch 178/1000
1s - loss: 0.0060 - mse: 5.1819 - val_loss: 0.0118 - val_mse: 10.3001
Epoch 179/1000
1s - loss: 0.0059 - mse: 5.0965 - val_loss: 0.0118 - val_mse: 10.2416
Epoch 180/1000
1s - loss: 0.0058 - mse: 5.0843 - val_loss: 0.0118 - val_mse: 10.2778
Epoch 181/1000
1s - loss: 0.0058 - mse: 5.0161 - val_loss: 0.0118 - val_mse: 10.2661
Epoch 182/1000
1s - loss: 0.0057 - mse: 4.9870 - val_loss: 0.0116 - val_mse: 10.1104
Epoch 183/1000
1s - loss: 0.0057 - mse: 4.9358 - val_loss: 0.0115 - val_mse: 10.0503
Epoch 184/1000
1s - loss: 0.0056 - mse: 4.8906 - val_loss: 0.0116 - val_mse: 10.0859
Epoch 185/1000
1s - loss: 0.0056 - mse: 4.8548 - val_loss: 0.0115 - val_mse: 9.9929
Epoch 186/1000
1s - loss: 0.0055 - mse: 4.7953 - val_loss: 0.0113 - val_mse: 9.8772
Epoch 187/1000
1s - loss: 0.0055 - mse: 4.7734 - val_loss: 0.0113 - val_mse: 9.8409
Epoch 188/1000
1s - loss: 0.0054 - mse: 4.7007 - val_loss: 0.0113 - val_mse: 9.8779
Epoch 189/1000
1s - loss: 0.0054 - mse: 4.6889 - val_loss: 0.0112 - val_mse: 9.7318
Epoch 190/1000
1s - loss: 0.0053 - mse: 4.6109 - val_loss: 0.0111 - val_mse: 9.6692
Epoch 191/1000
1s - loss: 0.0053 - mse: 4.5991 - val_loss: 0.0111 - val_mse: 9.6752
Epoch 192/1000
1s - loss: 0.0052 - mse: 4.5273 - val_loss: 0.0111 - val_mse: 9.6498
Epoch 193/1000
1s - loss: 0.0052 - mse: 4.4992 - val_loss: 0.0109 - val_mse: 9.5083
Epoch 194/1000
1s - loss: 0.0051 - mse: 4.4486 - val_loss: 0.0109 - val_mse: 9.4766
Epoch 195/1000
1s - loss: 0.0050 - mse: 4.3969 - val_loss: 0.0109 - val_mse: 9.5077
Epoch 196/1000
1s - loss: 0.0050 - mse: 4.3659 - val_loss: 0.0108 - val_mse: 9.3790
Epoch 197/1000
1s - loss: 0.0049 - mse: 4.3022 - val_loss: 0.0107 - val_mse: 9.3055
Epoch 198/1000
1s - loss: 0.0049 - mse: 4.2712 - val_loss: 0.0107 - val_mse: 9.3365
Epoch 199/1000
1s - loss: 0.0048 - mse: 4.2190 - val_loss: 0.0106 - val_mse: 9.2566
Epoch 200/1000
1s - loss: 0.0048 - mse: 4.1676 - val_loss: 0.0105 - val_mse: 9.1517
Epoch 201/1000
1s - loss: 0.0047 - mse: 4.1326 - val_loss: 0.0105 - val_mse: 9.1579
Epoch 202/1000
1s - loss: 0.0047 - mse: 4.0742 - val_loss: 0.0105 - val_mse: 9.1177
Epoch 203/1000
1s - loss: 0.0046 - mse: 4.0336 - val_loss: 0.0103 - val_mse: 8.9998
Epoch 204/1000
1s - loss: 0.0046 - mse: 3.9935 - val_loss: 0.0103 - val_mse: 9.0057
Epoch 205/1000
1s - loss: 0.0045 - mse: 3.9401 - val_loss: 0.0103 - val_mse: 8.9833
Epoch 206/1000
1s - loss: 0.0045 - mse: 3.8999 - val_loss: 0.0102 - val_mse: 8.8779
Epoch 207/1000
1s - loss: 0.0044 - mse: 3.8575 - val_loss: 0.0102 - val_mse: 8.8737
Epoch 208/1000
1s - loss: 0.0044 - mse: 3.8050 - val_loss: 0.0102 - val_mse: 8.8409
Epoch 209/1000
1s - loss: 0.0043 - mse: 3.7618 - val_loss: 0.0100 - val_mse: 8.7381
Epoch 210/1000
1s - loss: 0.0043 - mse: 3.7174 - val_loss: 0.0100 - val_mse: 8.7261
Epoch 211/1000
1s - loss: 0.0042 - mse: 3.6664 - val_loss: 0.0100 - val_mse: 8.6865
Epoch 212/1000
1s - loss: 0.0042 - mse: 3.6219 - val_loss: 0.0099 - val_mse: 8.6046
Epoch 213/1000
1s - loss: 0.0041 - mse: 3.5827 - val_loss: 0.0099 - val_mse: 8.6242
Epoch 214/1000
1s - loss: 0.0041 - mse: 3.5388 - val_loss: 0.0098 - val_mse: 8.5459
Epoch 215/1000
1s - loss: 0.0040 - mse: 3.4923 - val_loss: 0.0098 - val_mse: 8.5217
Epoch 216/1000
1s - loss: 0.0040 - mse: 3.4491 - val_loss: 0.0098 - val_mse: 8.5181
Epoch 217/1000
1s - loss: 0.0039 - mse: 3.4096 - val_loss: 0.0097 - val_mse: 8.4315
Epoch 218/1000
1s - loss: 0.0039 - mse: 3.3709 - val_loss: 0.0097 - val_mse: 8.4636
Epoch 219/1000
1s - loss: 0.0038 - mse: 3.3301 - val_loss: 0.0096 - val_mse: 8.3721
Epoch 220/1000
1s - loss: 0.0038 - mse: 3.2872 - val_loss: 0.0096 - val_mse: 8.3902
Epoch 221/1000
1s - loss: 0.0037 - mse: 3.2461 - val_loss: 0.0096 - val_mse: 8.3406
Epoch 222/1000
1s - loss: 0.0037 - mse: 3.2055 - val_loss: 0.0096 - val_mse: 8.3400
Epoch 223/1000
1s - loss: 0.0036 - mse: 3.1654 - val_loss: 0.0095 - val_mse: 8.3007
Epoch 224/1000
1s - loss: 0.0036 - mse: 3.1262 - val_loss: 0.0095 - val_mse: 8.3053
Epoch 225/1000
1s - loss: 0.0035 - mse: 3.0882 - val_loss: 0.0095 - val_mse: 8.2683
Epoch 226/1000

Epoch 00225: reducing learning rate to 0.00489999982528.
1s - loss: 0.0035 - mse: 3.0510 - val_loss: 0.0095 - val_mse: 8.3072
Epoch 227/1000
1s - loss: 0.0035 - mse: 3.0163 - val_loss: 0.0095 - val_mse: 8.2361
Epoch 228/1000
1s - loss: 0.0034 - mse: 2.9878 - val_loss: 0.0095 - val_mse: 8.2532
Epoch 229/1000
1s - loss: 0.0034 - mse: 2.9553 - val_loss: 0.0095 - val_mse: 8.2666
Epoch 230/1000
1s - loss: 0.0034 - mse: 2.9313 - val_loss: 0.0094 - val_mse: 8.2105
Epoch 231/1000
1s - loss: 0.0033 - mse: 2.9072 - val_loss: 0.0095 - val_mse: 8.2330
Epoch 232/1000
1s - loss: 0.0033 - mse: 2.8774 - val_loss: 0.0094 - val_mse: 8.2239
Epoch 233/1000
1s - loss: 0.0033 - mse: 2.8511 - val_loss: 0.0094 - val_mse: 8.1793
Epoch 234/1000
1s - loss: 0.0032 - mse: 2.8271 - val_loss: 0.0094 - val_mse: 8.2070
Epoch 235/1000
1s - loss: 0.0032 - mse: 2.8005 - val_loss: 0.0094 - val_mse: 8.1724
Epoch 236/1000
1s - loss: 0.0032 - mse: 2.7720 - val_loss: 0.0094 - val_mse: 8.1516
Epoch 237/1000
1s - loss: 0.0032 - mse: 2.7480 - val_loss: 0.0094 - val_mse: 8.1868
Epoch 238/1000
1s - loss: 0.0031 - mse: 2.7253 - val_loss: 0.0093 - val_mse: 8.1245
Epoch 239/1000
1s - loss: 0.0031 - mse: 2.7005 - val_loss: 0.0094 - val_mse: 8.1521
Epoch 240/1000
1s - loss: 0.0031 - mse: 2.6716 - val_loss: 0.0093 - val_mse: 8.1235
Epoch 241/1000
1s - loss: 0.0030 - mse: 2.6448 - val_loss: 0.0093 - val_mse: 8.1005
Epoch 242/1000
1s - loss: 0.0030 - mse: 2.6203 - val_loss: 0.0093 - val_mse: 8.1264
Epoch 243/1000

Epoch 00242: reducing learning rate to 0.00343000004068.
1s - loss: 0.0030 - mse: 2.5964 - val_loss: 0.0093 - val_mse: 8.0701
Epoch 244/1000
1s - loss: 0.0030 - mse: 2.5720 - val_loss: 0.0093 - val_mse: 8.0838
Epoch 245/1000
1s - loss: 0.0029 - mse: 2.5511 - val_loss: 0.0093 - val_mse: 8.0874
Epoch 246/1000
1s - loss: 0.0029 - mse: 2.5353 - val_loss: 0.0092 - val_mse: 8.0482
Epoch 247/1000
1s - loss: 0.0029 - mse: 2.5177 - val_loss: 0.0092 - val_mse: 8.0533
Epoch 248/1000
1s - loss: 0.0029 - mse: 2.4984 - val_loss: 0.0093 - val_mse: 8.0744
Epoch 249/1000
1s - loss: 0.0029 - mse: 2.4837 - val_loss: 0.0092 - val_mse: 8.0362
Epoch 250/1000
1s - loss: 0.0028 - mse: 2.4643 - val_loss: 0.0092 - val_mse: 8.0236
Epoch 251/1000
1s - loss: 0.0028 - mse: 2.4475 - val_loss: 0.0092 - val_mse: 8.0394
Epoch 252/1000
1s - loss: 0.0028 - mse: 2.4311 - val_loss: 0.0092 - val_mse: 8.0122
Epoch 253/1000
1s - loss: 0.0028 - mse: 2.4121 - val_loss: 0.0092 - val_mse: 7.9931
Epoch 254/1000
1s - loss: 0.0028 - mse: 2.3961 - val_loss: 0.0092 - val_mse: 8.0074
Epoch 255/1000
1s - loss: 0.0027 - mse: 2.3785 - val_loss: 0.0092 - val_mse: 7.9906
Epoch 256/1000
1s - loss: 0.0027 - mse: 2.3606 - val_loss: 0.0091 - val_mse: 7.9682
Epoch 257/1000

Epoch 00256: reducing learning rate to 0.00240100002848.
1s - loss: 0.0027 - mse: 2.3444 - val_loss: 0.0092 - val_mse: 7.9805
Epoch 258/1000
1s - loss: 0.0027 - mse: 2.3262 - val_loss: 0.0092 - val_mse: 7.9730
Epoch 259/1000
1s - loss: 0.0027 - mse: 2.3140 - val_loss: 0.0091 - val_mse: 7.9559
Epoch 260/1000
1s - loss: 0.0026 - mse: 2.3025 - val_loss: 0.0091 - val_mse: 7.9555
Epoch 261/1000
1s - loss: 0.0026 - mse: 2.2901 - val_loss: 0.0091 - val_mse: 7.9614
Epoch 262/1000
1s - loss: 0.0026 - mse: 2.2786 - val_loss: 0.0091 - val_mse: 7.9487
Epoch 263/1000
1s - loss: 0.0026 - mse: 2.2665 - val_loss: 0.0091 - val_mse: 7.9281
Epoch 264/1000
1s - loss: 0.0026 - mse: 2.2547 - val_loss: 0.0091 - val_mse: 7.9255
Epoch 265/1000
1s - loss: 0.0026 - mse: 2.2424 - val_loss: 0.0091 - val_mse: 7.9296
Epoch 266/1000
1s - loss: 0.0026 - mse: 2.2311 - val_loss: 0.0091 - val_mse: 7.9202
Epoch 267/1000
1s - loss: 0.0025 - mse: 2.2187 - val_loss: 0.0091 - val_mse: 7.9142
Epoch 268/1000
1s - loss: 0.0025 - mse: 2.2069 - val_loss: 0.0091 - val_mse: 7.9204
Epoch 269/1000
1s - loss: 0.0025 - mse: 2.1945 - val_loss: 0.0091 - val_mse: 7.9206
Epoch 270/1000
1s - loss: 0.0025 - mse: 2.1832 - val_loss: 0.0091 - val_mse: 7.9074
Epoch 271/1000

Epoch 00270: reducing learning rate to 0.00168070008513.
1s - loss: 0.0025 - mse: 2.1711 - val_loss: 0.0091 - val_mse: 7.9019
Epoch 272/1000
1s - loss: 0.0025 - mse: 2.1592 - val_loss: 0.0091 - val_mse: 7.9066
Epoch 273/1000
1s - loss: 0.0025 - mse: 2.1507 - val_loss: 0.0091 - val_mse: 7.9100
Epoch 274/1000
1s - loss: 0.0025 - mse: 2.1424 - val_loss: 0.0091 - val_mse: 7.9068
Epoch 275/1000
1s - loss: 0.0025 - mse: 2.1340 - val_loss: 0.0091 - val_mse: 7.9038
Epoch 276/1000
1s - loss: 0.0024 - mse: 2.1257 - val_loss: 0.0091 - val_mse: 7.9054
Epoch 277/1000
1s - loss: 0.0024 - mse: 2.1172 - val_loss: 0.0091 - val_mse: 7.9046
Epoch 278/1000
1s - loss: 0.0024 - mse: 2.1089 - val_loss: 0.0091 - val_mse: 7.8969
Epoch 279/1000
1s - loss: 0.0024 - mse: 2.1003 - val_loss: 0.0091 - val_mse: 7.8916
Epoch 280/1000
1s - loss: 0.0024 - mse: 2.0921 - val_loss: 0.0091 - val_mse: 7.8940
Epoch 281/1000
1s - loss: 0.0024 - mse: 2.0837 - val_loss: 0.0091 - val_mse: 7.8957
Epoch 282/1000
1s - loss: 0.0024 - mse: 2.0756 - val_loss: 0.0091 - val_mse: 7.8924
Epoch 283/1000
1s - loss: 0.0024 - mse: 2.0671 - val_loss: 0.0091 - val_mse: 7.8896
Epoch 284/1000
1s - loss: 0.0024 - mse: 2.0594 - val_loss: 0.0091 - val_mse: 7.8893
Epoch 285/1000

Epoch 00284: reducing learning rate to 0.00117649007589.
1s - loss: 0.0024 - mse: 2.0515 - val_loss: 0.0091 - val_mse: 7.8871
Epoch 286/1000
1s - loss: 0.0023 - mse: 2.0437 - val_loss: 0.0091 - val_mse: 7.8844
Epoch 287/1000
1s - loss: 0.0023 - mse: 2.0380 - val_loss: 0.0091 - val_mse: 7.8816
Epoch 288/1000
1s - loss: 0.0023 - mse: 2.0322 - val_loss: 0.0090 - val_mse: 7.8802
Epoch 289/1000
1s - loss: 0.0023 - mse: 2.0268 - val_loss: 0.0090 - val_mse: 7.8801
Epoch 290/1000
1s - loss: 0.0023 - mse: 2.0210 - val_loss: 0.0090 - val_mse: 7.8797
Epoch 291/1000
1s - loss: 0.0023 - mse: 2.0153 - val_loss: 0.0090 - val_mse: 7.8776
Epoch 292/1000
1s - loss: 0.0023 - mse: 2.0095 - val_loss: 0.0090 - val_mse: 7.8743
Epoch 293/1000
1s - loss: 0.0023 - mse: 2.0037 - val_loss: 0.0090 - val_mse: 7.8703
Epoch 294/1000
1s - loss: 0.0023 - mse: 1.9980 - val_loss: 0.0090 - val_mse: 7.8684
Epoch 295/1000
1s - loss: 0.0023 - mse: 1.9922 - val_loss: 0.0090 - val_mse: 7.8680
Epoch 296/1000
1s - loss: 0.0023 - mse: 1.9864 - val_loss: 0.0090 - val_mse: 7.8671
Epoch 297/1000
1s - loss: 0.0023 - mse: 1.9807 - val_loss: 0.0090 - val_mse: 7.8635
Epoch 298/1000
1s - loss: 0.0023 - mse: 1.9747 - val_loss: 0.0090 - val_mse: 7.8600
Epoch 299/1000
1s - loss: 0.0023 - mse: 1.9690 - val_loss: 0.0090 - val_mse: 7.8581
Epoch 300/1000
1s - loss: 0.0023 - mse: 1.9632 - val_loss: 0.0090 - val_mse: 7.8545
Epoch 301/1000
1s - loss: 0.0022 - mse: 1.9574 - val_loss: 0.0090 - val_mse: 7.8511
Epoch 302/1000
1s - loss: 0.0022 - mse: 1.9517 - val_loss: 0.0090 - val_mse: 7.8491
Epoch 303/1000

Epoch 00302: reducing learning rate to 0.000823543069419.
1s - loss: 0.0022 - mse: 1.9462 - val_loss: 0.0090 - val_mse: 7.8458
Epoch 304/1000
1s - loss: 0.0022 - mse: 1.9407 - val_loss: 0.0090 - val_mse: 7.8436
Epoch 305/1000
1s - loss: 0.0022 - mse: 1.9367 - val_loss: 0.0090 - val_mse: 7.8417
Epoch 306/1000
1s - loss: 0.0022 - mse: 1.9328 - val_loss: 0.0090 - val_mse: 7.8398
Epoch 307/1000
1s - loss: 0.0022 - mse: 1.9290 - val_loss: 0.0090 - val_mse: 7.8373
Epoch 308/1000
1s - loss: 0.0022 - mse: 1.9250 - val_loss: 0.0090 - val_mse: 7.8352
Epoch 309/1000
1s - loss: 0.0022 - mse: 1.9211 - val_loss: 0.0090 - val_mse: 7.8348
Epoch 310/1000
1s - loss: 0.0022 - mse: 1.9172 - val_loss: 0.0090 - val_mse: 7.8351
Epoch 311/1000
1s - loss: 0.0022 - mse: 1.9133 - val_loss: 0.0090 - val_mse: 7.8335
Epoch 312/1000
1s - loss: 0.0022 - mse: 1.9094 - val_loss: 0.0090 - val_mse: 7.8301
Epoch 313/1000
1s - loss: 0.0022 - mse: 1.9055 - val_loss: 0.0090 - val_mse: 7.8267
Epoch 314/1000
1s - loss: 0.0022 - mse: 1.9016 - val_loss: 0.0090 - val_mse: 7.8251
Epoch 315/1000
1s - loss: 0.0022 - mse: 1.8978 - val_loss: 0.0090 - val_mse: 7.8241
Epoch 316/1000
1s - loss: 0.0022 - mse: 1.8939 - val_loss: 0.0090 - val_mse: 7.8228
Epoch 317/1000

Epoch 00316: reducing learning rate to 0.000576480140444.
1s - loss: 0.0022 - mse: 1.8900 - val_loss: 0.0090 - val_mse: 7.8208
Epoch 318/1000
1s - loss: 0.0022 - mse: 1.8862 - val_loss: 0.0090 - val_mse: 7.8194
Epoch 319/1000
1s - loss: 0.0022 - mse: 1.8835 - val_loss: 0.0090 - val_mse: 7.8186
Epoch 320/1000
1s - loss: 0.0022 - mse: 1.8808 - val_loss: 0.0090 - val_mse: 7.8176
Epoch 321/1000
1s - loss: 0.0022 - mse: 1.8782 - val_loss: 0.0090 - val_mse: 7.8157
Epoch 322/1000
1s - loss: 0.0022 - mse: 1.8755 - val_loss: 0.0090 - val_mse: 7.8133
Epoch 323/1000
1s - loss: 0.0022 - mse: 1.8729 - val_loss: 0.0090 - val_mse: 7.8116
Epoch 324/1000
1s - loss: 0.0021 - mse: 1.8702 - val_loss: 0.0090 - val_mse: 7.8111
Epoch 325/1000
1s - loss: 0.0021 - mse: 1.8676 - val_loss: 0.0090 - val_mse: 7.8114
Epoch 326/1000
1s - loss: 0.0021 - mse: 1.8649 - val_loss: 0.0090 - val_mse: 7.8109
Epoch 327/1000
1s - loss: 0.0021 - mse: 1.8623 - val_loss: 0.0090 - val_mse: 7.8090
Epoch 328/1000
1s - loss: 0.0021 - mse: 1.8597 - val_loss: 0.0090 - val_mse: 7.8062
Epoch 329/1000
1s - loss: 0.0021 - mse: 1.8570 - val_loss: 0.0090 - val_mse: 7.8037
Epoch 330/1000
1s - loss: 0.0021 - mse: 1.8544 - val_loss: 0.0090 - val_mse: 7.8019
Epoch 331/1000

Epoch 00330: reducing learning rate to 0.000403536082013.
1s - loss: 0.0021 - mse: 1.8518 - val_loss: 0.0090 - val_mse: 7.8013
Epoch 332/1000
1s - loss: 0.0021 - mse: 1.8492 - val_loss: 0.0090 - val_mse: 7.8017
Epoch 333/1000
1s - loss: 0.0021 - mse: 1.8473 - val_loss: 0.0090 - val_mse: 7.8021
Epoch 334/1000
1s - loss: 0.0021 - mse: 1.8454 - val_loss: 0.0090 - val_mse: 7.8020
Epoch 335/1000
1s - loss: 0.0021 - mse: 1.8437 - val_loss: 0.0090 - val_mse: 7.8009
Epoch 336/1000
1s - loss: 0.0021 - mse: 1.8418 - val_loss: 0.0090 - val_mse: 7.7991
Epoch 337/1000
1s - loss: 0.0021 - mse: 1.8399 - val_loss: 0.0090 - val_mse: 7.7976
Epoch 338/1000
1s - loss: 0.0021 - mse: 1.8381 - val_loss: 0.0090 - val_mse: 7.7968
Epoch 339/1000
1s - loss: 0.0021 - mse: 1.8363 - val_loss: 0.0090 - val_mse: 7.7965
Epoch 340/1000
1s - loss: 0.0021 - mse: 1.8345 - val_loss: 0.0090 - val_mse: 7.7961
Epoch 341/1000
1s - loss: 0.0021 - mse: 1.8327 - val_loss: 0.0090 - val_mse: 7.7951
Epoch 342/1000
1s - loss: 0.0021 - mse: 1.8308 - val_loss: 0.0090 - val_mse: 7.7943
Epoch 343/1000
1s - loss: 0.0021 - mse: 1.8290 - val_loss: 0.0089 - val_mse: 7.7937
Epoch 344/1000
1s - loss: 0.0021 - mse: 1.8272 - val_loss: 0.0089 - val_mse: 7.7934
Epoch 345/1000

Epoch 00344: reducing learning rate to 0.000282475253334.
1s - loss: 0.0021 - mse: 1.8254 - val_loss: 0.0089 - val_mse: 7.7932
Epoch 346/1000
1s - loss: 0.0021 - mse: 1.8236 - val_loss: 0.0089 - val_mse: 7.7924
Epoch 347/1000
1s - loss: 0.0021 - mse: 1.8223 - val_loss: 0.0089 - val_mse: 7.7911
Epoch 348/1000
1s - loss: 0.0021 - mse: 1.8210 - val_loss: 0.0089 - val_mse: 7.7898
Epoch 349/1000
1s - loss: 0.0021 - mse: 1.8198 - val_loss: 0.0089 - val_mse: 7.7888
[{'loss': 0.002089665038511157, 'run': 0, 'width0': 135, 'width1': 150, 'val_mse': 7.7888374328613281, 'mse': 1.8197623491287231, 'val_loss': 0.0089440615847706795, 'dropout1': 0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_23 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_24 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_12 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.9529 - mse: 829.8391 - val_loss: 0.6082 - val_mse: 529.6533
Epoch 2/1000
1s - loss: 0.5713 - mse: 497.5490 - val_loss: 0.7971 - val_mse: 694.1743
Epoch 3/1000
1s - loss: 0.7851 - mse: 683.7131 - val_loss: 0.5636 - val_mse: 490.8225
Epoch 4/1000
1s - loss: 0.5409 - mse: 471.0020 - val_loss: 0.3225 - val_mse: 280.8627
Epoch 5/1000
1s - loss: 0.3012 - mse: 262.2697 - val_loss: 0.3761 - val_mse: 327.5312
Epoch 6/1000
1s - loss: 0.3545 - mse: 308.6709 - val_loss: 0.2079 - val_mse: 181.0416
Epoch 7/1000
1s - loss: 0.2044 - mse: 177.9571 - val_loss: 0.2297 - val_mse: 199.9892
Epoch 8/1000
1s - loss: 0.2224 - mse: 193.6732 - val_loss: 0.1919 - val_mse: 167.1216
Epoch 9/1000
1s - loss: 0.1831 - mse: 159.4766 - val_loss: 0.1804 - val_mse: 157.1223
Epoch 10/1000
1s - loss: 0.1746 - mse: 152.0082 - val_loss: 0.1194 - val_mse: 103.9589
Epoch 11/1000
1s - loss: 0.1062 - mse: 92.5015 - val_loss: 0.1428 - val_mse: 124.3518
Epoch 12/1000
1s - loss: 0.1203 - mse: 104.7795 - val_loss: 0.1463 - val_mse: 127.3636
Epoch 13/1000
1s - loss: 0.1222 - mse: 106.4340 - val_loss: 0.1148 - val_mse: 99.9956
Epoch 14/1000
1s - loss: 0.0983 - mse: 85.5897 - val_loss: 0.1039 - val_mse: 90.4887
Epoch 15/1000
1s - loss: 0.0954 - mse: 83.0882 - val_loss: 0.1047 - val_mse: 91.1579
Epoch 16/1000
1s - loss: 0.0990 - mse: 86.2505 - val_loss: 0.0993 - val_mse: 86.4580
Epoch 17/1000
1s - loss: 0.0926 - mse: 80.6096 - val_loss: 0.0882 - val_mse: 76.8133
Epoch 18/1000
1s - loss: 0.0807 - mse: 70.3054 - val_loss: 0.0762 - val_mse: 66.3200
Epoch 19/1000
1s - loss: 0.0690 - mse: 60.1153 - val_loss: 0.0720 - val_mse: 62.6655
Epoch 20/1000
1s - loss: 0.0646 - mse: 56.2418 - val_loss: 0.0791 - val_mse: 68.9014
Epoch 21/1000
1s - loss: 0.0706 - mse: 61.4843 - val_loss: 0.0785 - val_mse: 68.3698
Epoch 22/1000
1s - loss: 0.0707 - mse: 61.6054 - val_loss: 0.0661 - val_mse: 57.5930
Epoch 23/1000
1s - loss: 0.0613 - mse: 53.4242 - val_loss: 0.0595 - val_mse: 51.8261
Epoch 24/1000
1s - loss: 0.0570 - mse: 49.6461 - val_loss: 0.0581 - val_mse: 50.5757
Epoch 25/1000
1s - loss: 0.0565 - mse: 49.1770 - val_loss: 0.0571 - val_mse: 49.7340
Epoch 26/1000
1s - loss: 0.0560 - mse: 48.7865 - val_loss: 0.0575 - val_mse: 50.0868
Epoch 27/1000
1s - loss: 0.0569 - mse: 49.5325 - val_loss: 0.0556 - val_mse: 48.4558
Epoch 28/1000
1s - loss: 0.0544 - mse: 47.3760 - val_loss: 0.0530 - val_mse: 46.1359
Epoch 29/1000
1s - loss: 0.0507 - mse: 44.1894 - val_loss: 0.0525 - val_mse: 45.7088
Epoch 30/1000
1s - loss: 0.0497 - mse: 43.3146 - val_loss: 0.0517 - val_mse: 45.0265
Epoch 31/1000
1s - loss: 0.0488 - mse: 42.5237 - val_loss: 0.0489 - val_mse: 42.5688
Epoch 32/1000
1s - loss: 0.0462 - mse: 40.2099 - val_loss: 0.0480 - val_mse: 41.8384
Epoch 33/1000
1s - loss: 0.0453 - mse: 39.4567 - val_loss: 0.0474 - val_mse: 41.3144
Epoch 34/1000
1s - loss: 0.0445 - mse: 38.7867 - val_loss: 0.0456 - val_mse: 39.7491
Epoch 35/1000
1s - loss: 0.0424 - mse: 36.9502 - val_loss: 0.0441 - val_mse: 38.3666
Epoch 36/1000
1s - loss: 0.0407 - mse: 35.4528 - val_loss: 0.0428 - val_mse: 37.2940
Epoch 37/1000
1s - loss: 0.0398 - mse: 34.6492 - val_loss: 0.0416 - val_mse: 36.2127
Epoch 38/1000
1s - loss: 0.0390 - mse: 33.9817 - val_loss: 0.0410 - val_mse: 35.6693
Epoch 39/1000
1s - loss: 0.0388 - mse: 33.7626 - val_loss: 0.0404 - val_mse: 35.2013
Epoch 40/1000
1s - loss: 0.0384 - mse: 33.4330 - val_loss: 0.0392 - val_mse: 34.1645
Epoch 41/1000
1s - loss: 0.0371 - mse: 32.3130 - val_loss: 0.0383 - val_mse: 33.3852
Epoch 42/1000
1s - loss: 0.0359 - mse: 31.2413 - val_loss: 0.0379 - val_mse: 33.0458
Epoch 43/1000
1s - loss: 0.0350 - mse: 30.4531 - val_loss: 0.0378 - val_mse: 32.9218
Epoch 44/1000
1s - loss: 0.0342 - mse: 29.7414 - val_loss: 0.0380 - val_mse: 33.1133
Epoch 45/1000
1s - loss: 0.0337 - mse: 29.3498 - val_loss: 0.0377 - val_mse: 32.8346
Epoch 46/1000
1s - loss: 0.0331 - mse: 28.8640 - val_loss: 0.0363 - val_mse: 31.5956
Epoch 47/1000
1s - loss: 0.0322 - mse: 28.0544 - val_loss: 0.0343 - val_mse: 29.8748
Epoch 48/1000
1s - loss: 0.0312 - mse: 27.1792 - val_loss: 0.0332 - val_mse: 28.8754
Epoch 49/1000
1s - loss: 0.0309 - mse: 26.9147 - val_loss: 0.0324 - val_mse: 28.2188
Epoch 50/1000
1s - loss: 0.0307 - mse: 26.7027 - val_loss: 0.0317 - val_mse: 27.6436
Epoch 51/1000
1s - loss: 0.0302 - mse: 26.3241 - val_loss: 0.0310 - val_mse: 27.0148
Epoch 52/1000
1s - loss: 0.0296 - mse: 25.7537 - val_loss: 0.0306 - val_mse: 26.6334
Epoch 53/1000
1s - loss: 0.0289 - mse: 25.1706 - val_loss: 0.0304 - val_mse: 26.4678
Epoch 54/1000
1s - loss: 0.0282 - mse: 24.5773 - val_loss: 0.0305 - val_mse: 26.5265
Epoch 55/1000
1s - loss: 0.0278 - mse: 24.2433 - val_loss: 0.0303 - val_mse: 26.3438
Epoch 56/1000
1s - loss: 0.0274 - mse: 23.8883 - val_loss: 0.0296 - val_mse: 25.8023
Epoch 57/1000
1s - loss: 0.0269 - mse: 23.4421 - val_loss: 0.0288 - val_mse: 25.0888
Epoch 58/1000
1s - loss: 0.0264 - mse: 23.0011 - val_loss: 0.0281 - val_mse: 24.4895
Epoch 59/1000
1s - loss: 0.0260 - mse: 22.6662 - val_loss: 0.0275 - val_mse: 23.9366
Epoch 60/1000
1s - loss: 0.0256 - mse: 22.2670 - val_loss: 0.0271 - val_mse: 23.5998
Epoch 61/1000
1s - loss: 0.0251 - mse: 21.8930 - val_loss: 0.0268 - val_mse: 23.3739
Epoch 62/1000
1s - loss: 0.0247 - mse: 21.5007 - val_loss: 0.0266 - val_mse: 23.1482
Epoch 63/1000
1s - loss: 0.0242 - mse: 21.1140 - val_loss: 0.0263 - val_mse: 22.9085
Epoch 64/1000
1s - loss: 0.0239 - mse: 20.8118 - val_loss: 0.0259 - val_mse: 22.5655
Epoch 65/1000
1s - loss: 0.0236 - mse: 20.5348 - val_loss: 0.0254 - val_mse: 22.0955
Epoch 66/1000
1s - loss: 0.0232 - mse: 20.2127 - val_loss: 0.0248 - val_mse: 21.6378
Epoch 67/1000
1s - loss: 0.0229 - mse: 19.9085 - val_loss: 0.0243 - val_mse: 21.1935
Epoch 68/1000
1s - loss: 0.0225 - mse: 19.5791 - val_loss: 0.0239 - val_mse: 20.7948
Epoch 69/1000
1s - loss: 0.0221 - mse: 19.2359 - val_loss: 0.0236 - val_mse: 20.5469
Epoch 70/1000
1s - loss: 0.0218 - mse: 18.9729 - val_loss: 0.0233 - val_mse: 20.3340
Epoch 71/1000
1s - loss: 0.0215 - mse: 18.6927 - val_loss: 0.0230 - val_mse: 20.0519
Epoch 72/1000
1s - loss: 0.0211 - mse: 18.3778 - val_loss: 0.0226 - val_mse: 19.6847
Epoch 73/1000
1s - loss: 0.0208 - mse: 18.0730 - val_loss: 0.0222 - val_mse: 19.3073
Epoch 74/1000
1s - loss: 0.0204 - mse: 17.7977 - val_loss: 0.0218 - val_mse: 19.0073
Epoch 75/1000
1s - loss: 0.0201 - mse: 17.5260 - val_loss: 0.0216 - val_mse: 18.8038
Epoch 76/1000
1s - loss: 0.0198 - mse: 17.2241 - val_loss: 0.0215 - val_mse: 18.6918
Epoch 77/1000
1s - loss: 0.0195 - mse: 16.9841 - val_loss: 0.0211 - val_mse: 18.4163
Epoch 78/1000
1s - loss: 0.0192 - mse: 16.7162 - val_loss: 0.0207 - val_mse: 18.0277
Epoch 79/1000
1s - loss: 0.0189 - mse: 16.4296 - val_loss: 0.0204 - val_mse: 17.7337
Epoch 80/1000
1s - loss: 0.0186 - mse: 16.1754 - val_loss: 0.0202 - val_mse: 17.5637
Epoch 81/1000
1s - loss: 0.0183 - mse: 15.9544 - val_loss: 0.0199 - val_mse: 17.3480
Epoch 82/1000
1s - loss: 0.0180 - mse: 15.6972 - val_loss: 0.0196 - val_mse: 17.0771
Epoch 83/1000
1s - loss: 0.0177 - mse: 15.4413 - val_loss: 0.0193 - val_mse: 16.8338
Epoch 84/1000
1s - loss: 0.0175 - mse: 15.2014 - val_loss: 0.0191 - val_mse: 16.6061
Epoch 85/1000
1s - loss: 0.0172 - mse: 14.9738 - val_loss: 0.0187 - val_mse: 16.2988
Epoch 86/1000
1s - loss: 0.0169 - mse: 14.7365 - val_loss: 0.0184 - val_mse: 16.0544
Epoch 87/1000
1s - loss: 0.0167 - mse: 14.5061 - val_loss: 0.0183 - val_mse: 15.9440
Epoch 88/1000
1s - loss: 0.0164 - mse: 14.2636 - val_loss: 0.0181 - val_mse: 15.7543
Epoch 89/1000
1s - loss: 0.0161 - mse: 14.0262 - val_loss: 0.0177 - val_mse: 15.4499
Epoch 90/1000
1s - loss: 0.0158 - mse: 13.7902 - val_loss: 0.0175 - val_mse: 15.2396
Epoch 91/1000
1s - loss: 0.0156 - mse: 13.5685 - val_loss: 0.0172 - val_mse: 15.0013
Epoch 92/1000
1s - loss: 0.0153 - mse: 13.3531 - val_loss: 0.0170 - val_mse: 14.8246
Epoch 93/1000
1s - loss: 0.0151 - mse: 13.1442 - val_loss: 0.0169 - val_mse: 14.7484
Epoch 94/1000
1s - loss: 0.0149 - mse: 12.9358 - val_loss: 0.0167 - val_mse: 14.5383
Epoch 95/1000
1s - loss: 0.0146 - mse: 12.7177 - val_loss: 0.0165 - val_mse: 14.3517
Epoch 96/1000
1s - loss: 0.0144 - mse: 12.5253 - val_loss: 0.0165 - val_mse: 14.3446
Epoch 97/1000
1s - loss: 0.0142 - mse: 12.3815 - val_loss: 0.0164 - val_mse: 14.2852
Epoch 98/1000
1s - loss: 0.0143 - mse: 12.4785 - val_loss: 0.0187 - val_mse: 16.3216
Epoch 99/1000
1s - loss: 0.0160 - mse: 13.9150 - val_loss: 0.0223 - val_mse: 19.3969
Epoch 100/1000

Epoch 00099: reducing learning rate to 0.00699999984354.
2s - loss: 0.0205 - mse: 17.8807 - val_loss: 0.0330 - val_mse: 28.7463
Epoch 101/1000
1s - loss: 0.0294 - mse: 25.5826 - val_loss: 0.0181 - val_mse: 15.7926
Epoch 102/1000
1s - loss: 0.0155 - mse: 13.4967 - val_loss: 0.0248 - val_mse: 21.5727
Epoch 103/1000
1s - loss: 0.0229 - mse: 19.9619 - val_loss: 0.0178 - val_mse: 15.5086
Epoch 104/1000
1s - loss: 0.0164 - mse: 14.2742 - val_loss: 0.0203 - val_mse: 17.6633
Epoch 105/1000
1s - loss: 0.0173 - mse: 15.0841 - val_loss: 0.0212 - val_mse: 18.4388
Epoch 106/1000
1s - loss: 0.0182 - mse: 15.8620 - val_loss: 0.0196 - val_mse: 17.0856
Epoch 107/1000
1s - loss: 0.0165 - mse: 14.3312 - val_loss: 0.0182 - val_mse: 15.8498
Epoch 108/1000
1s - loss: 0.0154 - mse: 13.3807 - val_loss: 0.0186 - val_mse: 16.2066
Epoch 109/1000
1s - loss: 0.0168 - mse: 14.6101 - val_loss: 0.0177 - val_mse: 15.3800
Epoch 110/1000
1s - loss: 0.0157 - mse: 13.6562 - val_loss: 0.0164 - val_mse: 14.3213
Epoch 111/1000
1s - loss: 0.0140 - mse: 12.1778 - val_loss: 0.0187 - val_mse: 16.3168
Epoch 112/1000
1s - loss: 0.0159 - mse: 13.8586 - val_loss: 0.0178 - val_mse: 15.5315
Epoch 113/1000
1s - loss: 0.0149 - mse: 12.9494 - val_loss: 0.0160 - val_mse: 13.9111
Epoch 114/1000
1s - loss: 0.0132 - mse: 11.4882 - val_loss: 0.0170 - val_mse: 14.8402
Epoch 115/1000
1s - loss: 0.0146 - mse: 12.7350 - val_loss: 0.0163 - val_mse: 14.1539
Epoch 116/1000
1s - loss: 0.0139 - mse: 12.1022 - val_loss: 0.0155 - val_mse: 13.4886
Epoch 117/1000
1s - loss: 0.0128 - mse: 11.1259 - val_loss: 0.0164 - val_mse: 14.3227
Epoch 118/1000
1s - loss: 0.0135 - mse: 11.7685 - val_loss: 0.0160 - val_mse: 13.9109
Epoch 119/1000
1s - loss: 0.0131 - mse: 11.3800 - val_loss: 0.0152 - val_mse: 13.2628
Epoch 120/1000
1s - loss: 0.0124 - mse: 10.8067 - val_loss: 0.0153 - val_mse: 13.3013
Epoch 121/1000
1s - loss: 0.0126 - mse: 11.0023 - val_loss: 0.0151 - val_mse: 13.1117
Epoch 122/1000
1s - loss: 0.0124 - mse: 10.8303 - val_loss: 0.0149 - val_mse: 12.9609
Epoch 123/1000
1s - loss: 0.0120 - mse: 10.4715 - val_loss: 0.0149 - val_mse: 12.9917
Epoch 124/1000
1s - loss: 0.0119 - mse: 10.3906 - val_loss: 0.0149 - val_mse: 13.0007
Epoch 125/1000
1s - loss: 0.0120 - mse: 10.4096 - val_loss: 0.0146 - val_mse: 12.6858
Epoch 126/1000
1s - loss: 0.0117 - mse: 10.1578 - val_loss: 0.0141 - val_mse: 12.2902
Epoch 127/1000
1s - loss: 0.0113 - mse: 9.8593 - val_loss: 0.0143 - val_mse: 12.4615
Epoch 128/1000
1s - loss: 0.0115 - mse: 10.0115 - val_loss: 0.0141 - val_mse: 12.3000
Epoch 129/1000
1s - loss: 0.0112 - mse: 9.7830 - val_loss: 0.0138 - val_mse: 11.9936
Epoch 130/1000
1s - loss: 0.0108 - mse: 9.4480 - val_loss: 0.0140 - val_mse: 12.1715
Epoch 131/1000
1s - loss: 0.0110 - mse: 9.5952 - val_loss: 0.0137 - val_mse: 11.9475
Epoch 132/1000
1s - loss: 0.0108 - mse: 9.3792 - val_loss: 0.0134 - val_mse: 11.6639
Epoch 133/1000
1s - loss: 0.0104 - mse: 9.0953 - val_loss: 0.0136 - val_mse: 11.8216
Epoch 134/1000
1s - loss: 0.0106 - mse: 9.1971 - val_loss: 0.0134 - val_mse: 11.6260
Epoch 135/1000
1s - loss: 0.0103 - mse: 8.9690 - val_loss: 0.0132 - val_mse: 11.4579
Epoch 136/1000
1s - loss: 0.0101 - mse: 8.7712 - val_loss: 0.0133 - val_mse: 11.5457
Epoch 137/1000
1s - loss: 0.0101 - mse: 8.8110 - val_loss: 0.0130 - val_mse: 11.3594
Epoch 138/1000
1s - loss: 0.0099 - mse: 8.5948 - val_loss: 0.0129 - val_mse: 11.2430
Epoch 139/1000
1s - loss: 0.0097 - mse: 8.4478 - val_loss: 0.0129 - val_mse: 11.2648
Epoch 140/1000
1s - loss: 0.0097 - mse: 8.4431 - val_loss: 0.0128 - val_mse: 11.1163
Epoch 141/1000
1s - loss: 0.0095 - mse: 8.2610 - val_loss: 0.0127 - val_mse: 11.0730
Epoch 142/1000
1s - loss: 0.0094 - mse: 8.1474 - val_loss: 0.0127 - val_mse: 11.0908
Epoch 143/1000
1s - loss: 0.0093 - mse: 8.1037 - val_loss: 0.0126 - val_mse: 10.9477
Epoch 144/1000
1s - loss: 0.0091 - mse: 7.9480 - val_loss: 0.0124 - val_mse: 10.8261
Epoch 145/1000
1s - loss: 0.0090 - mse: 7.8457 - val_loss: 0.0124 - val_mse: 10.7562
Epoch 146/1000
1s - loss: 0.0089 - mse: 7.7732 - val_loss: 0.0123 - val_mse: 10.6752
Epoch 147/1000
1s - loss: 0.0088 - mse: 7.6344 - val_loss: 0.0122 - val_mse: 10.6570
Epoch 148/1000
1s - loss: 0.0087 - mse: 7.5495 - val_loss: 0.0122 - val_mse: 10.5821
Epoch 149/1000
1s - loss: 0.0086 - mse: 7.4573 - val_loss: 0.0120 - val_mse: 10.4447
Epoch 150/1000
1s - loss: 0.0084 - mse: 7.3431 - val_loss: 0.0119 - val_mse: 10.3636
Epoch 151/1000
1s - loss: 0.0083 - mse: 7.2641 - val_loss: 0.0118 - val_mse: 10.3098
Epoch 152/1000
1s - loss: 0.0082 - mse: 7.1664 - val_loss: 0.0118 - val_mse: 10.2584
Epoch 153/1000
1s - loss: 0.0081 - mse: 7.0739 - val_loss: 0.0117 - val_mse: 10.1843
Epoch 154/1000
1s - loss: 0.0080 - mse: 6.9915 - val_loss: 0.0116 - val_mse: 10.0991
Epoch 155/1000
1s - loss: 0.0079 - mse: 6.9002 - val_loss: 0.0116 - val_mse: 10.0599
Epoch 156/1000
1s - loss: 0.0078 - mse: 6.8174 - val_loss: 0.0115 - val_mse: 10.0379
Epoch 157/1000
1s - loss: 0.0077 - mse: 6.7381 - val_loss: 0.0115 - val_mse: 9.9779
Epoch 158/1000
1s - loss: 0.0076 - mse: 6.6543 - val_loss: 0.0114 - val_mse: 9.9071
Epoch 159/1000
1s - loss: 0.0076 - mse: 6.5806 - val_loss: 0.0113 - val_mse: 9.8579
Epoch 160/1000
1s - loss: 0.0075 - mse: 6.5037 - val_loss: 0.0113 - val_mse: 9.8464
Epoch 161/1000
1s - loss: 0.0074 - mse: 6.4324 - val_loss: 0.0113 - val_mse: 9.8250
Epoch 162/1000
1s - loss: 0.0073 - mse: 6.3620 - val_loss: 0.0112 - val_mse: 9.7734
Epoch 163/1000
1s - loss: 0.0072 - mse: 6.2910 - val_loss: 0.0112 - val_mse: 9.7235
Epoch 164/1000
1s - loss: 0.0071 - mse: 6.2252 - val_loss: 0.0111 - val_mse: 9.6767
Epoch 165/1000
1s - loss: 0.0071 - mse: 6.1537 - val_loss: 0.0111 - val_mse: 9.6330
Epoch 166/1000
1s - loss: 0.0070 - mse: 6.0909 - val_loss: 0.0110 - val_mse: 9.5757
Epoch 167/1000
1s - loss: 0.0069 - mse: 6.0248 - val_loss: 0.0109 - val_mse: 9.5344
Epoch 168/1000
1s - loss: 0.0068 - mse: 5.9600 - val_loss: 0.0109 - val_mse: 9.5195
Epoch 169/1000
1s - loss: 0.0068 - mse: 5.8991 - val_loss: 0.0109 - val_mse: 9.4915
Epoch 170/1000
1s - loss: 0.0067 - mse: 5.8353 - val_loss: 0.0108 - val_mse: 9.4409
Epoch 171/1000
1s - loss: 0.0066 - mse: 5.7761 - val_loss: 0.0108 - val_mse: 9.3847
Epoch 172/1000
1s - loss: 0.0066 - mse: 5.7169 - val_loss: 0.0107 - val_mse: 9.3434
Epoch 173/1000
1s - loss: 0.0065 - mse: 5.6571 - val_loss: 0.0107 - val_mse: 9.3109
Epoch 174/1000
1s - loss: 0.0064 - mse: 5.6025 - val_loss: 0.0106 - val_mse: 9.2638
Epoch 175/1000
1s - loss: 0.0064 - mse: 5.5440 - val_loss: 0.0106 - val_mse: 9.2214
Epoch 176/1000
1s - loss: 0.0063 - mse: 5.4909 - val_loss: 0.0105 - val_mse: 9.1861
Epoch 177/1000
1s - loss: 0.0062 - mse: 5.4358 - val_loss: 0.0105 - val_mse: 9.1464
Epoch 178/1000
1s - loss: 0.0062 - mse: 5.3811 - val_loss: 0.0105 - val_mse: 9.1003
Epoch 179/1000
1s - loss: 0.0061 - mse: 5.3301 - val_loss: 0.0104 - val_mse: 9.0540
Epoch 180/1000
1s - loss: 0.0061 - mse: 5.2766 - val_loss: 0.0104 - val_mse: 9.0204
Epoch 181/1000
1s - loss: 0.0060 - mse: 5.2269 - val_loss: 0.0103 - val_mse: 8.9828
Epoch 182/1000
1s - loss: 0.0059 - mse: 5.1760 - val_loss: 0.0103 - val_mse: 8.9399
Epoch 183/1000
1s - loss: 0.0059 - mse: 5.1264 - val_loss: 0.0102 - val_mse: 8.9020
Epoch 184/1000
1s - loss: 0.0058 - mse: 5.0786 - val_loss: 0.0102 - val_mse: 8.8691
Epoch 185/1000
1s - loss: 0.0058 - mse: 5.0292 - val_loss: 0.0101 - val_mse: 8.8389
Epoch 186/1000
1s - loss: 0.0057 - mse: 4.9826 - val_loss: 0.0101 - val_mse: 8.8072
Epoch 187/1000
1s - loss: 0.0057 - mse: 4.9349 - val_loss: 0.0101 - val_mse: 8.7787
Epoch 188/1000
1s - loss: 0.0056 - mse: 4.8888 - val_loss: 0.0100 - val_mse: 8.7505
Epoch 189/1000
1s - loss: 0.0056 - mse: 4.8424 - val_loss: 0.0100 - val_mse: 8.7228
Epoch 190/1000
1s - loss: 0.0055 - mse: 4.7956 - val_loss: 0.0100 - val_mse: 8.6984
Epoch 191/1000
1s - loss: 0.0055 - mse: 4.7497 - val_loss: 0.0100 - val_mse: 8.6713
Epoch 192/1000
1s - loss: 0.0054 - mse: 4.7030 - val_loss: 0.0099 - val_mse: 8.6424
Epoch 193/1000
1s - loss: 0.0053 - mse: 4.6583 - val_loss: 0.0099 - val_mse: 8.6112
Epoch 194/1000
1s - loss: 0.0053 - mse: 4.6131 - val_loss: 0.0099 - val_mse: 8.5782
Epoch 195/1000
1s - loss: 0.0052 - mse: 4.5688 - val_loss: 0.0098 - val_mse: 8.5428
Epoch 196/1000
1s - loss: 0.0052 - mse: 4.5244 - val_loss: 0.0098 - val_mse: 8.5076
Epoch 197/1000
1s - loss: 0.0051 - mse: 4.4801 - val_loss: 0.0097 - val_mse: 8.4748
Epoch 198/1000
1s - loss: 0.0051 - mse: 4.4362 - val_loss: 0.0097 - val_mse: 8.4470
Epoch 199/1000
1s - loss: 0.0050 - mse: 4.3945 - val_loss: 0.0097 - val_mse: 8.4266
Epoch 200/1000
1s - loss: 0.0050 - mse: 4.3540 - val_loss: 0.0097 - val_mse: 8.4082
Epoch 201/1000
1s - loss: 0.0050 - mse: 4.3131 - val_loss: 0.0096 - val_mse: 8.3867
Epoch 202/1000
1s - loss: 0.0049 - mse: 4.2725 - val_loss: 0.0096 - val_mse: 8.3651
Epoch 203/1000
1s - loss: 0.0049 - mse: 4.2328 - val_loss: 0.0096 - val_mse: 8.3447
Epoch 204/1000
1s - loss: 0.0048 - mse: 4.1929 - val_loss: 0.0096 - val_mse: 8.3220
Epoch 205/1000
1s - loss: 0.0048 - mse: 4.1522 - val_loss: 0.0095 - val_mse: 8.2992
Epoch 206/1000
1s - loss: 0.0047 - mse: 4.1117 - val_loss: 0.0095 - val_mse: 8.2790
Epoch 207/1000
1s - loss: 0.0047 - mse: 4.0718 - val_loss: 0.0095 - val_mse: 8.2558
Epoch 208/1000
1s - loss: 0.0046 - mse: 4.0322 - val_loss: 0.0095 - val_mse: 8.2308
Epoch 209/1000
1s - loss: 0.0046 - mse: 3.9928 - val_loss: 0.0094 - val_mse: 8.2062
Epoch 210/1000
1s - loss: 0.0045 - mse: 3.9529 - val_loss: 0.0094 - val_mse: 8.1815
Epoch 211/1000
1s - loss: 0.0045 - mse: 3.9132 - val_loss: 0.0094 - val_mse: 8.1563
Epoch 212/1000
1s - loss: 0.0044 - mse: 3.8737 - val_loss: 0.0093 - val_mse: 8.1211
Epoch 213/1000
1s - loss: 0.0044 - mse: 3.8339 - val_loss: 0.0093 - val_mse: 8.0898
Epoch 214/1000
1s - loss: 0.0044 - mse: 3.7942 - val_loss: 0.0093 - val_mse: 8.0645
Epoch 215/1000
1s - loss: 0.0043 - mse: 3.7547 - val_loss: 0.0092 - val_mse: 8.0421
Epoch 216/1000
1s - loss: 0.0043 - mse: 3.7152 - val_loss: 0.0092 - val_mse: 8.0242
Epoch 217/1000
1s - loss: 0.0042 - mse: 3.6757 - val_loss: 0.0092 - val_mse: 7.9917
Epoch 218/1000
1s - loss: 0.0042 - mse: 3.6373 - val_loss: 0.0091 - val_mse: 7.9640
Epoch 219/1000
1s - loss: 0.0041 - mse: 3.5987 - val_loss: 0.0091 - val_mse: 7.9361
Epoch 220/1000
1s - loss: 0.0041 - mse: 3.5603 - val_loss: 0.0091 - val_mse: 7.9172
Epoch 221/1000
1s - loss: 0.0040 - mse: 3.5216 - val_loss: 0.0091 - val_mse: 7.8950
Epoch 222/1000
1s - loss: 0.0040 - mse: 3.4827 - val_loss: 0.0090 - val_mse: 7.8734
Epoch 223/1000
1s - loss: 0.0040 - mse: 3.4437 - val_loss: 0.0090 - val_mse: 7.8418
Epoch 224/1000
1s - loss: 0.0039 - mse: 3.4046 - val_loss: 0.0090 - val_mse: 7.8184
Epoch 225/1000
1s - loss: 0.0039 - mse: 3.3651 - val_loss: 0.0089 - val_mse: 7.7894
Epoch 226/1000
1s - loss: 0.0038 - mse: 3.3256 - val_loss: 0.0089 - val_mse: 7.7751
Epoch 227/1000
1s - loss: 0.0038 - mse: 3.2852 - val_loss: 0.0089 - val_mse: 7.7639
Epoch 228/1000
1s - loss: 0.0037 - mse: 3.2435 - val_loss: 0.0089 - val_mse: 7.7405
Epoch 229/1000
1s - loss: 0.0037 - mse: 3.2006 - val_loss: 0.0089 - val_mse: 7.7236
Epoch 230/1000
1s - loss: 0.0036 - mse: 3.1573 - val_loss: 0.0088 - val_mse: 7.6750
Epoch 231/1000
1s - loss: 0.0036 - mse: 3.1144 - val_loss: 0.0088 - val_mse: 7.6884
Epoch 232/1000
1s - loss: 0.0035 - mse: 3.0730 - val_loss: 0.0088 - val_mse: 7.6300
Epoch 233/1000
1s - loss: 0.0035 - mse: 3.0373 - val_loss: 0.0089 - val_mse: 7.7443
Epoch 234/1000
1s - loss: 0.0035 - mse: 3.0198 - val_loss: 0.0087 - val_mse: 7.6179
Epoch 235/1000

Epoch 00234: reducing learning rate to 0.00489999982528.
1s - loss: 0.0035 - mse: 3.0677 - val_loss: 0.0094 - val_mse: 8.2147
Epoch 236/1000
1s - loss: 0.0038 - mse: 3.3403 - val_loss: 0.0088 - val_mse: 7.6250
Epoch 237/1000
1s - loss: 0.0036 - mse: 3.1487 - val_loss: 0.0086 - val_mse: 7.4784
Epoch 238/1000
1s - loss: 0.0033 - mse: 2.8325 - val_loss: 0.0091 - val_mse: 7.9404
Epoch 239/1000
1s - loss: 0.0036 - mse: 3.0948 - val_loss: 0.0085 - val_mse: 7.4218
Epoch 240/1000
1s - loss: 0.0033 - mse: 2.8447 - val_loss: 0.0085 - val_mse: 7.3876
Epoch 241/1000
1s - loss: 0.0032 - mse: 2.8054 - val_loss: 0.0089 - val_mse: 7.7345
Epoch 242/1000
1s - loss: 0.0033 - mse: 2.9046 - val_loss: 0.0084 - val_mse: 7.3466
Epoch 243/1000
1s - loss: 0.0031 - mse: 2.6612 - val_loss: 0.0084 - val_mse: 7.3536
Epoch 244/1000
1s - loss: 0.0032 - mse: 2.7838 - val_loss: 0.0086 - val_mse: 7.5204
Epoch 245/1000
1s - loss: 0.0031 - mse: 2.6877 - val_loss: 0.0085 - val_mse: 7.3704
Epoch 246/1000
1s - loss: 0.0030 - mse: 2.5790 - val_loss: 0.0083 - val_mse: 7.2670
Epoch 247/1000
1s - loss: 0.0031 - mse: 2.6695 - val_loss: 0.0084 - val_mse: 7.2850
Epoch 248/1000
1s - loss: 0.0029 - mse: 2.4981 - val_loss: 0.0084 - val_mse: 7.3504
Epoch 249/1000
1s - loss: 0.0029 - mse: 2.5138 - val_loss: 0.0082 - val_mse: 7.1492
Epoch 250/1000
1s - loss: 0.0029 - mse: 2.4894 - val_loss: 0.0082 - val_mse: 7.1301
Epoch 251/1000
1s - loss: 0.0027 - mse: 2.3714 - val_loss: 0.0084 - val_mse: 7.2801
Epoch 252/1000
1s - loss: 0.0028 - mse: 2.4106 - val_loss: 0.0081 - val_mse: 7.0441
Epoch 253/1000
1s - loss: 0.0027 - mse: 2.3122 - val_loss: 0.0080 - val_mse: 7.0082
Epoch 254/1000
1s - loss: 0.0026 - mse: 2.2736 - val_loss: 0.0082 - val_mse: 7.1403
Epoch 255/1000
1s - loss: 0.0026 - mse: 2.2666 - val_loss: 0.0080 - val_mse: 6.9558
Epoch 256/1000
1s - loss: 0.0025 - mse: 2.1658 - val_loss: 0.0079 - val_mse: 6.8916
Epoch 257/1000
1s - loss: 0.0025 - mse: 2.1623 - val_loss: 0.0080 - val_mse: 6.9760
Epoch 258/1000
1s - loss: 0.0024 - mse: 2.1080 - val_loss: 0.0079 - val_mse: 6.8676
Epoch 259/1000
1s - loss: 0.0023 - mse: 2.0328 - val_loss: 0.0078 - val_mse: 6.7767
Epoch 260/1000
1s - loss: 0.0023 - mse: 2.0256 - val_loss: 0.0078 - val_mse: 6.8182
Epoch 261/1000
1s - loss: 0.0022 - mse: 1.9511 - val_loss: 0.0077 - val_mse: 6.7419
Epoch 262/1000
1s - loss: 0.0022 - mse: 1.8938 - val_loss: 0.0076 - val_mse: 6.6183
Epoch 263/1000
1s - loss: 0.0022 - mse: 1.8733 - val_loss: 0.0076 - val_mse: 6.6356
Epoch 264/1000
1s - loss: 0.0021 - mse: 1.7983 - val_loss: 0.0075 - val_mse: 6.5637
Epoch 265/1000
1s - loss: 0.0020 - mse: 1.7422 - val_loss: 0.0074 - val_mse: 6.4444
Epoch 266/1000
1s - loss: 0.0020 - mse: 1.7134 - val_loss: 0.0074 - val_mse: 6.4578
Epoch 267/1000
1s - loss: 0.0019 - mse: 1.6437 - val_loss: 0.0073 - val_mse: 6.3688
Epoch 268/1000
1s - loss: 0.0018 - mse: 1.5837 - val_loss: 0.0072 - val_mse: 6.2547
Epoch 269/1000
1s - loss: 0.0018 - mse: 1.5500 - val_loss: 0.0072 - val_mse: 6.2668
Epoch 270/1000
1s - loss: 0.0017 - mse: 1.4882 - val_loss: 0.0071 - val_mse: 6.1682
Epoch 271/1000
1s - loss: 0.0016 - mse: 1.4236 - val_loss: 0.0070 - val_mse: 6.0806
Epoch 272/1000
1s - loss: 0.0016 - mse: 1.3847 - val_loss: 0.0070 - val_mse: 6.0999
Epoch 273/1000
1s - loss: 0.0015 - mse: 1.3330 - val_loss: 0.0069 - val_mse: 5.9816
Epoch 274/1000
1s - loss: 0.0015 - mse: 1.2682 - val_loss: 0.0068 - val_mse: 5.9139
Epoch 275/1000
1s - loss: 0.0014 - mse: 1.2224 - val_loss: 0.0068 - val_mse: 5.9314
Epoch 276/1000
1s - loss: 0.0014 - mse: 1.1798 - val_loss: 0.0067 - val_mse: 5.8151
Epoch 277/1000
1s - loss: 0.0013 - mse: 1.1222 - val_loss: 0.0066 - val_mse: 5.7802
Epoch 278/1000
1s - loss: 0.0012 - mse: 1.0695 - val_loss: 0.0066 - val_mse: 5.7754
Epoch 279/1000
1s - loss: 0.0012 - mse: 1.0294 - val_loss: 0.0065 - val_mse: 5.6704
Epoch 280/1000
1s - loss: 0.0011 - mse: 0.9848 - val_loss: 0.0065 - val_mse: 5.6666
Epoch 281/1000
1s - loss: 0.0011 - mse: 0.9352 - val_loss: 0.0064 - val_mse: 5.6166
Epoch 282/1000
1s - loss: 0.0010 - mse: 0.8930 - val_loss: 0.0064 - val_mse: 5.5505
Epoch 283/1000
1s - loss: 9.8696e-04 - mse: 0.8595 - val_loss: 0.0064 - val_mse: 5.5671
Epoch 284/1000
1s - loss: 9.4712e-04 - mse: 0.8248 - val_loss: 0.0063 - val_mse: 5.4929
Epoch 285/1000
1s - loss: 9.0323e-04 - mse: 0.7866 - val_loss: 0.0063 - val_mse: 5.4767
Epoch 286/1000
1s - loss: 8.6484e-04 - mse: 0.7531 - val_loss: 0.0063 - val_mse: 5.4725
Epoch 287/1000
1s - loss: 8.3443e-04 - mse: 0.7267 - val_loss: 0.0062 - val_mse: 5.4158
Epoch 288/1000
1s - loss: 8.0639e-04 - mse: 0.7022 - val_loss: 0.0063 - val_mse: 5.4432
Epoch 289/1000
1s - loss: 7.7650e-04 - mse: 0.6762 - val_loss: 0.0062 - val_mse: 5.4013
Epoch 290/1000
1s - loss: 7.4768e-04 - mse: 0.6511 - val_loss: 0.0062 - val_mse: 5.3897
Epoch 291/1000
1s - loss: 7.2386e-04 - mse: 0.6304 - val_loss: 0.0062 - val_mse: 5.3977
Epoch 292/1000

Epoch 00291: reducing learning rate to 0.00343000004068.
1s - loss: 7.0466e-04 - mse: 0.6136 - val_loss: 0.0061 - val_mse: 5.3537
Epoch 293/1000
1s - loss: 6.8673e-04 - mse: 0.5980 - val_loss: 0.0062 - val_mse: 5.3626
Epoch 294/1000
1s - loss: 6.7047e-04 - mse: 0.5839 - val_loss: 0.0062 - val_mse: 5.3581
Epoch 295/1000
1s - loss: 6.5959e-04 - mse: 0.5744 - val_loss: 0.0061 - val_mse: 5.3223
Epoch 296/1000
1s - loss: 6.4753e-04 - mse: 0.5639 - val_loss: 0.0061 - val_mse: 5.3199
Epoch 297/1000
1s - loss: 6.3437e-04 - mse: 0.5524 - val_loss: 0.0061 - val_mse: 5.3313
Epoch 298/1000
1s - loss: 6.2540e-04 - mse: 0.5446 - val_loss: 0.0061 - val_mse: 5.3027
Epoch 299/1000
1s - loss: 6.1274e-04 - mse: 0.5336 - val_loss: 0.0061 - val_mse: 5.2885
Epoch 300/1000
1s - loss: 6.0360e-04 - mse: 0.5256 - val_loss: 0.0061 - val_mse: 5.2985
Epoch 301/1000
1s - loss: 5.9395e-04 - mse: 0.5172 - val_loss: 0.0061 - val_mse: 5.2837
Epoch 302/1000
1s - loss: 5.8381e-04 - mse: 0.5084 - val_loss: 0.0060 - val_mse: 5.2665
Epoch 303/1000
1s - loss: 5.7635e-04 - mse: 0.5019 - val_loss: 0.0061 - val_mse: 5.2777
Epoch 304/1000
1s - loss: 5.6665e-04 - mse: 0.4935 - val_loss: 0.0061 - val_mse: 5.2783
Epoch 305/1000
1s - loss: 5.5929e-04 - mse: 0.4870 - val_loss: 0.0060 - val_mse: 5.2575
Epoch 306/1000

Epoch 00305: reducing learning rate to 0.00240100002848.
1s - loss: 5.5183e-04 - mse: 0.4806 - val_loss: 0.0060 - val_mse: 5.2576
Epoch 307/1000
1s - loss: 5.4385e-04 - mse: 0.4736 - val_loss: 0.0060 - val_mse: 5.2612
Epoch 308/1000
1s - loss: 5.3925e-04 - mse: 0.4696 - val_loss: 0.0060 - val_mse: 5.2555
Epoch 309/1000
1s - loss: 5.3420e-04 - mse: 0.4652 - val_loss: 0.0060 - val_mse: 5.2477
Epoch 310/1000
1s - loss: 5.2989e-04 - mse: 0.4614 - val_loss: 0.0060 - val_mse: 5.2475
Epoch 311/1000
1s - loss: 5.2522e-04 - mse: 0.4574 - val_loss: 0.0060 - val_mse: 5.2512
Epoch 312/1000
1s - loss: 5.2095e-04 - mse: 0.4537 - val_loss: 0.0060 - val_mse: 5.2490
Epoch 313/1000
1s - loss: 5.1656e-04 - mse: 0.4498 - val_loss: 0.0060 - val_mse: 5.2459
Epoch 314/1000
1s - loss: 5.1250e-04 - mse: 0.4463 - val_loss: 0.0060 - val_mse: 5.2497
Epoch 315/1000
1s - loss: 5.0838e-04 - mse: 0.4427 - val_loss: 0.0060 - val_mse: 5.2574
Epoch 316/1000
1s - loss: 5.0448e-04 - mse: 0.4393 - val_loss: 0.0060 - val_mse: 5.2584
Epoch 317/1000
1s - loss: 5.0062e-04 - mse: 0.4360 - val_loss: 0.0060 - val_mse: 5.2540
Epoch 318/1000
1s - loss: 4.9682e-04 - mse: 0.4326 - val_loss: 0.0060 - val_mse: 5.2542
Epoch 319/1000
1s - loss: 4.9318e-04 - mse: 0.4295 - val_loss: 0.0060 - val_mse: 5.2591
Epoch 320/1000

Epoch 00319: reducing learning rate to 0.00168070008513.
1s - loss: 4.8954e-04 - mse: 0.4263 - val_loss: 0.0060 - val_mse: 5.2620
Epoch 321/1000
1s - loss: 4.8604e-04 - mse: 0.4233 - val_loss: 0.0060 - val_mse: 5.2620
Epoch 322/1000
1s - loss: 4.8355e-04 - mse: 0.4211 - val_loss: 0.0060 - val_mse: 5.2628
Epoch 323/1000
1s - loss: 4.8123e-04 - mse: 0.4191 - val_loss: 0.0060 - val_mse: 5.2657
Epoch 324/1000
1s - loss: 4.7883e-04 - mse: 0.4170 - val_loss: 0.0061 - val_mse: 5.2692
Epoch 325/1000
1s - loss: 4.7651e-04 - mse: 0.4150 - val_loss: 0.0061 - val_mse: 5.2703
Epoch 326/1000
1s - loss: 4.7426e-04 - mse: 0.4130 - val_loss: 0.0060 - val_mse: 5.2683
Epoch 327/1000
1s - loss: 4.7197e-04 - mse: 0.4110 - val_loss: 0.0060 - val_mse: 5.2662
Epoch 328/1000
1s - loss: 4.6979e-04 - mse: 0.4091 - val_loss: 0.0060 - val_mse: 5.2663
Epoch 329/1000
1s - loss: 4.6759e-04 - mse: 0.4072 - val_loss: 0.0060 - val_mse: 5.2683
Epoch 330/1000
1s - loss: 4.6542e-04 - mse: 0.4053 - val_loss: 0.0061 - val_mse: 5.2696
Epoch 331/1000
1s - loss: 4.6335e-04 - mse: 0.4035 - val_loss: 0.0060 - val_mse: 5.2685
Epoch 332/1000
1s - loss: 4.6124e-04 - mse: 0.4017 - val_loss: 0.0060 - val_mse: 5.2671
Epoch 333/1000
1s - loss: 4.5920e-04 - mse: 0.3999 - val_loss: 0.0060 - val_mse: 5.2670
Epoch 334/1000

Epoch 00333: reducing learning rate to 0.00117649007589.
1s - loss: 4.5719e-04 - mse: 0.3981 - val_loss: 0.0060 - val_mse: 5.2685
Epoch 335/1000
1s - loss: 4.5519e-04 - mse: 0.3964 - val_loss: 0.0061 - val_mse: 5.2692
Epoch 336/1000
1s - loss: 4.5382e-04 - mse: 0.3952 - val_loss: 0.0061 - val_mse: 5.2694
Epoch 337/1000
1s - loss: 4.5245e-04 - mse: 0.3940 - val_loss: 0.0061 - val_mse: 5.2690
Epoch 338/1000
1s - loss: 4.5109e-04 - mse: 0.3928 - val_loss: 0.0061 - val_mse: 5.2687
Epoch 339/1000
1s - loss: 4.4974e-04 - mse: 0.3917 - val_loss: 0.0061 - val_mse: 5.2686
Epoch 340/1000
1s - loss: 4.4842e-04 - mse: 0.3905 - val_loss: 0.0060 - val_mse: 5.2683
Epoch 341/1000
1s - loss: 4.4709e-04 - mse: 0.3893 - val_loss: 0.0060 - val_mse: 5.2677
Epoch 342/1000
1s - loss: 4.4579e-04 - mse: 0.3882 - val_loss: 0.0060 - val_mse: 5.2667
Epoch 343/1000
1s - loss: 4.4449e-04 - mse: 0.3871 - val_loss: 0.0060 - val_mse: 5.2655
Epoch 344/1000
1s - loss: 4.4319e-04 - mse: 0.3859 - val_loss: 0.0060 - val_mse: 5.2646
Epoch 345/1000
1s - loss: 4.4191e-04 - mse: 0.3848 - val_loss: 0.0060 - val_mse: 5.2642
Epoch 346/1000
1s - loss: 4.4064e-04 - mse: 0.3837 - val_loss: 0.0060 - val_mse: 5.2644
[{'loss': 0.002089665038511157, 'run': 0, 'width0': 135, 'width1': 150, 'val_mse': 7.7888374328613281, 'mse': 1.8197623491287231, 'val_loss': 0.0089440615847706795, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.00044063656241632998, 'run': 1, 'width0': 135, 'width1': 150, 'val_mse': 5.2644405364990234, 'mse': 0.38372343778610229, 'val_loss': 0.0060452516190707684, 'dropout1': 0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_25 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_26 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_13 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.9263 - mse: 806.6520 - val_loss: 0.5977 - val_mse: 520.4668
Epoch 2/1000
1s - loss: 0.5609 - mse: 488.4483 - val_loss: 0.8422 - val_mse: 733.4261
Epoch 3/1000
1s - loss: 0.8390 - mse: 730.6136 - val_loss: 0.6236 - val_mse: 543.0341
Epoch 4/1000
1s - loss: 0.6009 - mse: 523.3284 - val_loss: 0.4052 - val_mse: 352.8575
Epoch 5/1000
1s - loss: 0.3811 - mse: 331.8678 - val_loss: 0.2928 - val_mse: 254.9869
Epoch 6/1000
1s - loss: 0.2785 - mse: 242.5585 - val_loss: 0.2464 - val_mse: 214.5857
Epoch 7/1000
1s - loss: 0.2380 - mse: 207.2917 - val_loss: 0.2246 - val_mse: 195.5958
Epoch 8/1000
1s - loss: 0.2237 - mse: 194.8149 - val_loss: 0.1767 - val_mse: 153.8427
Epoch 9/1000
1s - loss: 0.1690 - mse: 147.2031 - val_loss: 0.1272 - val_mse: 110.7352
Epoch 10/1000
1s - loss: 0.1195 - mse: 104.0712 - val_loss: 0.1553 - val_mse: 135.2010
Epoch 11/1000
1s - loss: 0.1514 - mse: 131.8340 - val_loss: 0.1342 - val_mse: 116.8792
Epoch 12/1000
1s - loss: 0.1225 - mse: 106.7116 - val_loss: 0.1308 - val_mse: 113.9396
Epoch 13/1000
1s - loss: 0.1089 - mse: 94.8448 - val_loss: 0.1471 - val_mse: 128.1169
Epoch 14/1000

Epoch 00013: reducing learning rate to 0.00699999984354.
2s - loss: 0.1251 - mse: 108.9470 - val_loss: 0.1298 - val_mse: 113.0097
Epoch 15/1000
1s - loss: 0.1129 - mse: 98.2804 - val_loss: 0.1123 - val_mse: 97.7675
Epoch 16/1000
1s - loss: 0.0980 - mse: 85.3384 - val_loss: 0.1035 - val_mse: 90.1395
Epoch 17/1000
1s - loss: 0.0904 - mse: 78.7289 - val_loss: 0.1030 - val_mse: 89.6809
Epoch 18/1000
1s - loss: 0.0908 - mse: 79.0437 - val_loss: 0.0998 - val_mse: 86.9159
Epoch 19/1000
1s - loss: 0.0894 - mse: 77.8199 - val_loss: 0.0902 - val_mse: 78.5555
Epoch 20/1000
1s - loss: 0.0819 - mse: 71.3426 - val_loss: 0.0817 - val_mse: 71.1419
Epoch 21/1000
1s - loss: 0.0750 - mse: 65.2706 - val_loss: 0.0799 - val_mse: 69.5726
Epoch 22/1000
1s - loss: 0.0741 - mse: 64.5119 - val_loss: 0.0807 - val_mse: 70.2410
Epoch 23/1000
1s - loss: 0.0757 - mse: 65.8795 - val_loss: 0.0776 - val_mse: 67.5870
Epoch 24/1000
1s - loss: 0.0733 - mse: 63.8668 - val_loss: 0.0715 - val_mse: 62.2657
Epoch 25/1000
1s - loss: 0.0676 - mse: 58.8493 - val_loss: 0.0679 - val_mse: 59.1541
Epoch 26/1000
1s - loss: 0.0638 - mse: 55.5265 - val_loss: 0.0683 - val_mse: 59.4614
Epoch 27/1000
1s - loss: 0.0636 - mse: 55.3933 - val_loss: 0.0675 - val_mse: 58.7561
Epoch 28/1000
1s - loss: 0.0627 - mse: 54.5648 - val_loss: 0.0630 - val_mse: 54.8393
Epoch 29/1000
1s - loss: 0.0585 - mse: 50.9636 - val_loss: 0.0589 - val_mse: 51.2634
Epoch 30/1000
1s - loss: 0.0548 - mse: 47.6826 - val_loss: 0.0578 - val_mse: 50.3008
Epoch 31/1000
1s - loss: 0.0537 - mse: 46.7466 - val_loss: 0.0570 - val_mse: 49.6273
Epoch 32/1000
1s - loss: 0.0527 - mse: 45.9360 - val_loss: 0.0554 - val_mse: 48.2460
Epoch 33/1000
1s - loss: 0.0507 - mse: 44.1808 - val_loss: 0.0554 - val_mse: 48.2236
Epoch 34/1000
1s - loss: 0.0498 - mse: 43.3968 - val_loss: 0.0561 - val_mse: 48.8506
Epoch 35/1000
1s - loss: 0.0498 - mse: 43.3686 - val_loss: 0.0535 - val_mse: 46.6037
Epoch 36/1000
1s - loss: 0.0476 - mse: 41.4196 - val_loss: 0.0505 - val_mse: 43.9972
Epoch 37/1000
1s - loss: 0.0456 - mse: 39.6868 - val_loss: 0.0499 - val_mse: 43.4200
Epoch 38/1000
1s - loss: 0.0456 - mse: 39.7409 - val_loss: 0.0486 - val_mse: 42.2850
Epoch 39/1000
1s - loss: 0.0447 - mse: 38.9673 - val_loss: 0.0461 - val_mse: 40.1202
Epoch 40/1000
1s - loss: 0.0425 - mse: 36.9789 - val_loss: 0.0447 - val_mse: 38.9285
Epoch 41/1000
1s - loss: 0.0410 - mse: 35.7250 - val_loss: 0.0445 - val_mse: 38.7271
Epoch 42/1000
1s - loss: 0.0407 - mse: 35.4242 - val_loss: 0.0431 - val_mse: 37.5181
Epoch 43/1000
1s - loss: 0.0396 - mse: 34.4503 - val_loss: 0.0405 - val_mse: 35.2524
Epoch 44/1000
1s - loss: 0.0375 - mse: 32.6942 - val_loss: 0.0388 - val_mse: 33.7867
Epoch 45/1000
1s - loss: 0.0363 - mse: 31.5892 - val_loss: 0.0384 - val_mse: 33.4142
Epoch 46/1000
1s - loss: 0.0359 - mse: 31.2520 - val_loss: 0.0378 - val_mse: 32.9133
Epoch 47/1000
1s - loss: 0.0351 - mse: 30.5933 - val_loss: 0.0367 - val_mse: 31.9569
Epoch 48/1000
1s - loss: 0.0338 - mse: 29.4293 - val_loss: 0.0360 - val_mse: 31.3478
Epoch 49/1000
1s - loss: 0.0329 - mse: 28.6162 - val_loss: 0.0359 - val_mse: 31.2199
Epoch 50/1000
1s - loss: 0.0326 - mse: 28.3568 - val_loss: 0.0352 - val_mse: 30.6685
Epoch 51/1000
1s - loss: 0.0320 - mse: 27.8514 - val_loss: 0.0340 - val_mse: 29.5845
Epoch 52/1000
1s - loss: 0.0309 - mse: 26.9368 - val_loss: 0.0331 - val_mse: 28.7956
Epoch 53/1000
1s - loss: 0.0302 - mse: 26.2758 - val_loss: 0.0327 - val_mse: 28.5123
Epoch 54/1000
1s - loss: 0.0299 - mse: 26.0183 - val_loss: 0.0324 - val_mse: 28.2327
Epoch 55/1000
1s - loss: 0.0295 - mse: 25.6886 - val_loss: 0.0319 - val_mse: 27.7630
Epoch 56/1000
1s - loss: 0.0288 - mse: 25.0864 - val_loss: 0.0316 - val_mse: 27.4844
Epoch 57/1000
1s - loss: 0.0282 - mse: 24.5731 - val_loss: 0.0316 - val_mse: 27.4824
Epoch 58/1000
1s - loss: 0.0279 - mse: 24.3108 - val_loss: 0.0313 - val_mse: 27.2868
Epoch 59/1000
1s - loss: 0.0275 - mse: 23.9586 - val_loss: 0.0308 - val_mse: 26.8580
Epoch 60/1000
1s - loss: 0.0270 - mse: 23.4913 - val_loss: 0.0304 - val_mse: 26.4322
Epoch 61/1000
1s - loss: 0.0265 - mse: 23.1010 - val_loss: 0.0298 - val_mse: 25.9101
Epoch 62/1000
1s - loss: 0.0261 - mse: 22.6929 - val_loss: 0.0291 - val_mse: 25.3075
Epoch 63/1000
1s - loss: 0.0255 - mse: 22.2404 - val_loss: 0.0285 - val_mse: 24.8433
Epoch 64/1000
1s - loss: 0.0251 - mse: 21.8535 - val_loss: 0.0281 - val_mse: 24.4915
Epoch 65/1000
1s - loss: 0.0247 - mse: 21.4784 - val_loss: 0.0277 - val_mse: 24.1560
Epoch 66/1000
1s - loss: 0.0242 - mse: 21.0723 - val_loss: 0.0275 - val_mse: 23.9232
Epoch 67/1000
1s - loss: 0.0238 - mse: 20.7358 - val_loss: 0.0273 - val_mse: 23.7437
Epoch 68/1000
1s - loss: 0.0234 - mse: 20.4192 - val_loss: 0.0270 - val_mse: 23.4944
Epoch 69/1000
1s - loss: 0.0230 - mse: 20.0360 - val_loss: 0.0267 - val_mse: 23.2404
Epoch 70/1000
1s - loss: 0.0226 - mse: 19.6869 - val_loss: 0.0264 - val_mse: 23.0325
Epoch 71/1000
1s - loss: 0.0223 - mse: 19.4137 - val_loss: 0.0261 - val_mse: 22.7314
Epoch 72/1000
1s - loss: 0.0219 - mse: 19.0813 - val_loss: 0.0257 - val_mse: 22.3664
Epoch 73/1000
1s - loss: 0.0215 - mse: 18.7239 - val_loss: 0.0254 - val_mse: 22.0901
Epoch 74/1000
1s - loss: 0.0212 - mse: 18.4693 - val_loss: 0.0250 - val_mse: 21.7984
Epoch 75/1000
1s - loss: 0.0209 - mse: 18.1869 - val_loss: 0.0247 - val_mse: 21.4670
Epoch 76/1000
1s - loss: 0.0205 - mse: 17.8468 - val_loss: 0.0244 - val_mse: 21.2430
Epoch 77/1000
1s - loss: 0.0202 - mse: 17.5968 - val_loss: 0.0242 - val_mse: 21.0384
Epoch 78/1000
1s - loss: 0.0199 - mse: 17.3596 - val_loss: 0.0239 - val_mse: 20.7716
Epoch 79/1000
1s - loss: 0.0196 - mse: 17.0666 - val_loss: 0.0236 - val_mse: 20.5696
Epoch 80/1000
1s - loss: 0.0193 - mse: 16.8435 - val_loss: 0.0234 - val_mse: 20.3759
Epoch 81/1000
1s - loss: 0.0191 - mse: 16.6276 - val_loss: 0.0231 - val_mse: 20.1523
Epoch 82/1000
1s - loss: 0.0188 - mse: 16.3683 - val_loss: 0.0229 - val_mse: 19.9833
Epoch 83/1000
1s - loss: 0.0185 - mse: 16.1525 - val_loss: 0.0227 - val_mse: 19.7965
Epoch 84/1000
1s - loss: 0.0183 - mse: 15.9260 - val_loss: 0.0225 - val_mse: 19.5936
Epoch 85/1000
1s - loss: 0.0180 - mse: 15.7001 - val_loss: 0.0223 - val_mse: 19.3959
Epoch 86/1000
1s - loss: 0.0178 - mse: 15.4997 - val_loss: 0.0220 - val_mse: 19.1491
Epoch 87/1000
1s - loss: 0.0175 - mse: 15.2631 - val_loss: 0.0217 - val_mse: 18.9278
Epoch 88/1000
1s - loss: 0.0173 - mse: 15.0580 - val_loss: 0.0215 - val_mse: 18.6900
Epoch 89/1000
1s - loss: 0.0170 - mse: 14.8436 - val_loss: 0.0212 - val_mse: 18.4577
Epoch 90/1000
1s - loss: 0.0168 - mse: 14.6159 - val_loss: 0.0210 - val_mse: 18.2875
Epoch 91/1000
1s - loss: 0.0166 - mse: 14.4173 - val_loss: 0.0208 - val_mse: 18.1061
Epoch 92/1000
1s - loss: 0.0163 - mse: 14.1983 - val_loss: 0.0206 - val_mse: 17.9426
Epoch 93/1000
1s - loss: 0.0161 - mse: 14.0069 - val_loss: 0.0204 - val_mse: 17.7496
Epoch 94/1000
1s - loss: 0.0158 - mse: 13.7976 - val_loss: 0.0202 - val_mse: 17.5858
Epoch 95/1000
1s - loss: 0.0156 - mse: 13.6085 - val_loss: 0.0200 - val_mse: 17.4347
Epoch 96/1000
1s - loss: 0.0154 - mse: 13.4207 - val_loss: 0.0198 - val_mse: 17.2842
Epoch 97/1000
1s - loss: 0.0152 - mse: 13.2333 - val_loss: 0.0197 - val_mse: 17.1304
Epoch 98/1000
1s - loss: 0.0150 - mse: 13.0526 - val_loss: 0.0195 - val_mse: 16.9440
Epoch 99/1000
1s - loss: 0.0148 - mse: 12.8688 - val_loss: 0.0192 - val_mse: 16.7382
Epoch 100/1000
1s - loss: 0.0146 - mse: 12.6950 - val_loss: 0.0190 - val_mse: 16.5379
Epoch 101/1000
1s - loss: 0.0144 - mse: 12.5275 - val_loss: 0.0188 - val_mse: 16.3759
Epoch 102/1000
1s - loss: 0.0142 - mse: 12.3562 - val_loss: 0.0186 - val_mse: 16.2388
Epoch 103/1000
1s - loss: 0.0140 - mse: 12.2019 - val_loss: 0.0184 - val_mse: 16.0507
Epoch 104/1000
1s - loss: 0.0138 - mse: 12.0352 - val_loss: 0.0182 - val_mse: 15.8860
Epoch 105/1000
1s - loss: 0.0136 - mse: 11.8806 - val_loss: 0.0181 - val_mse: 15.7764
Epoch 106/1000
1s - loss: 0.0135 - mse: 11.7188 - val_loss: 0.0180 - val_mse: 15.6865
Epoch 107/1000
1s - loss: 0.0133 - mse: 11.5606 - val_loss: 0.0179 - val_mse: 15.5865
Epoch 108/1000
1s - loss: 0.0131 - mse: 11.4123 - val_loss: 0.0178 - val_mse: 15.4674
Epoch 109/1000
1s - loss: 0.0129 - mse: 11.2565 - val_loss: 0.0176 - val_mse: 15.3334
Epoch 110/1000
1s - loss: 0.0128 - mse: 11.1070 - val_loss: 0.0175 - val_mse: 15.2218
Epoch 111/1000
1s - loss: 0.0126 - mse: 10.9611 - val_loss: 0.0174 - val_mse: 15.1443
Epoch 112/1000
1s - loss: 0.0124 - mse: 10.8131 - val_loss: 0.0173 - val_mse: 15.0383
Epoch 113/1000
1s - loss: 0.0122 - mse: 10.6677 - val_loss: 0.0171 - val_mse: 14.9284
Epoch 114/1000
1s - loss: 0.0121 - mse: 10.5324 - val_loss: 0.0170 - val_mse: 14.8197
Epoch 115/1000
1s - loss: 0.0119 - mse: 10.3981 - val_loss: 0.0169 - val_mse: 14.7091
Epoch 116/1000
1s - loss: 0.0118 - mse: 10.2649 - val_loss: 0.0168 - val_mse: 14.6132
Epoch 117/1000
1s - loss: 0.0116 - mse: 10.1326 - val_loss: 0.0166 - val_mse: 14.4851
Epoch 118/1000
1s - loss: 0.0115 - mse: 9.9972 - val_loss: 0.0166 - val_mse: 14.4169
Epoch 119/1000
1s - loss: 0.0113 - mse: 9.8773 - val_loss: 0.0165 - val_mse: 14.3406
Epoch 120/1000
1s - loss: 0.0112 - mse: 9.7847 - val_loss: 0.0166 - val_mse: 14.4792
Epoch 121/1000
1s - loss: 0.0113 - mse: 9.8462 - val_loss: 0.0169 - val_mse: 14.6938
Epoch 122/1000
1s - loss: 0.0117 - mse: 10.2144 - val_loss: 0.0185 - val_mse: 16.1433
Epoch 123/1000
1s - loss: 0.0133 - mse: 11.5790 - val_loss: 0.0171 - val_mse: 14.9323
Epoch 124/1000
1s - loss: 0.0122 - mse: 10.6014 - val_loss: 0.0160 - val_mse: 13.8961
Epoch 125/1000
1s - loss: 0.0107 - mse: 9.2967 - val_loss: 0.0161 - val_mse: 14.0184
Epoch 126/1000
1s - loss: 0.0108 - mse: 9.4482 - val_loss: 0.0159 - val_mse: 13.8626
Epoch 127/1000
1s - loss: 0.0110 - mse: 9.5414 - val_loss: 0.0153 - val_mse: 13.3669
Epoch 128/1000
1s - loss: 0.0102 - mse: 8.8521 - val_loss: 0.0158 - val_mse: 13.7576
Epoch 129/1000
1s - loss: 0.0105 - mse: 9.1068 - val_loss: 0.0153 - val_mse: 13.3197
Epoch 130/1000
1s - loss: 0.0101 - mse: 8.7955 - val_loss: 0.0151 - val_mse: 13.1246
Epoch 131/1000
1s - loss: 0.0099 - mse: 8.6040 - val_loss: 0.0153 - val_mse: 13.3587
Epoch 132/1000
1s - loss: 0.0100 - mse: 8.6981 - val_loss: 0.0148 - val_mse: 12.9040
Epoch 133/1000
1s - loss: 0.0096 - mse: 8.3177 - val_loss: 0.0149 - val_mse: 12.9654
Epoch 134/1000
1s - loss: 0.0097 - mse: 8.4349 - val_loss: 0.0150 - val_mse: 13.0240
Epoch 135/1000
1s - loss: 0.0094 - mse: 8.2211 - val_loss: 0.0148 - val_mse: 12.8529
Epoch 136/1000
1s - loss: 0.0093 - mse: 8.0568 - val_loss: 0.0146 - val_mse: 12.6748
Epoch 137/1000
1s - loss: 0.0093 - mse: 8.1097 - val_loss: 0.0143 - val_mse: 12.4651
Epoch 138/1000
1s - loss: 0.0090 - mse: 7.8093 - val_loss: 0.0143 - val_mse: 12.4481
Epoch 139/1000
1s - loss: 0.0089 - mse: 7.7921 - val_loss: 0.0140 - val_mse: 12.1869
Epoch 140/1000
1s - loss: 0.0089 - mse: 7.7218 - val_loss: 0.0138 - val_mse: 12.0280
Epoch 141/1000
1s - loss: 0.0086 - mse: 7.5010 - val_loss: 0.0138 - val_mse: 12.0531
Epoch 142/1000
1s - loss: 0.0086 - mse: 7.5088 - val_loss: 0.0135 - val_mse: 11.7341
Epoch 143/1000
1s - loss: 0.0085 - mse: 7.3852 - val_loss: 0.0134 - val_mse: 11.6503
Epoch 144/1000
1s - loss: 0.0083 - mse: 7.2330 - val_loss: 0.0135 - val_mse: 11.7161
Epoch 145/1000
1s - loss: 0.0083 - mse: 7.2130 - val_loss: 0.0131 - val_mse: 11.4118
Epoch 146/1000
1s - loss: 0.0081 - mse: 7.0895 - val_loss: 0.0130 - val_mse: 11.2951
Epoch 147/1000
1s - loss: 0.0080 - mse: 6.9503 - val_loss: 0.0130 - val_mse: 11.3090
Epoch 148/1000
1s - loss: 0.0079 - mse: 6.9075 - val_loss: 0.0127 - val_mse: 11.0813
Epoch 149/1000
1s - loss: 0.0078 - mse: 6.8079 - val_loss: 0.0127 - val_mse: 11.0380
Epoch 150/1000
1s - loss: 0.0077 - mse: 6.6685 - val_loss: 0.0126 - val_mse: 10.9716
Epoch 151/1000
1s - loss: 0.0076 - mse: 6.5943 - val_loss: 0.0123 - val_mse: 10.7401
Epoch 152/1000
1s - loss: 0.0075 - mse: 6.5257 - val_loss: 0.0123 - val_mse: 10.7047
Epoch 153/1000
1s - loss: 0.0074 - mse: 6.4119 - val_loss: 0.0121 - val_mse: 10.5328
Epoch 154/1000
1s - loss: 0.0072 - mse: 6.2999 - val_loss: 0.0119 - val_mse: 10.3706
Epoch 155/1000
1s - loss: 0.0071 - mse: 6.2239 - val_loss: 0.0119 - val_mse: 10.3391
Epoch 156/1000
1s - loss: 0.0071 - mse: 6.1523 - val_loss: 0.0116 - val_mse: 10.0814
Epoch 157/1000
1s - loss: 0.0069 - mse: 6.0510 - val_loss: 0.0115 - val_mse: 10.0028
Epoch 158/1000
1s - loss: 0.0068 - mse: 5.9393 - val_loss: 0.0113 - val_mse: 9.8429
Epoch 159/1000
1s - loss: 0.0067 - mse: 5.8439 - val_loss: 0.0111 - val_mse: 9.6654
Epoch 160/1000
1s - loss: 0.0066 - mse: 5.7621 - val_loss: 0.0111 - val_mse: 9.6253
Epoch 161/1000
1s - loss: 0.0065 - mse: 5.6863 - val_loss: 0.0108 - val_mse: 9.4003
Epoch 162/1000
1s - loss: 0.0064 - mse: 5.6124 - val_loss: 0.0109 - val_mse: 9.4623
Epoch 163/1000
1s - loss: 0.0064 - mse: 5.5540 - val_loss: 0.0106 - val_mse: 9.1943
Epoch 164/1000
1s - loss: 0.0064 - mse: 5.5301 - val_loss: 0.0109 - val_mse: 9.5021
Epoch 165/1000
1s - loss: 0.0064 - mse: 5.6089 - val_loss: 0.0107 - val_mse: 9.3339
Epoch 166/1000
1s - loss: 0.0068 - mse: 5.9093 - val_loss: 0.0124 - val_mse: 10.7726
Epoch 167/1000
1s - loss: 0.0078 - mse: 6.8220 - val_loss: 0.0120 - val_mse: 10.4724
Epoch 168/1000

Epoch 00167: reducing learning rate to 0.00489999982528.
1s - loss: 0.0086 - mse: 7.5013 - val_loss: 0.0129 - val_mse: 11.2467
Epoch 169/1000
1s - loss: 0.0085 - mse: 7.3978 - val_loss: 0.0101 - val_mse: 8.7670
Epoch 170/1000
1s - loss: 0.0059 - mse: 5.1148 - val_loss: 0.0115 - val_mse: 9.9787
Epoch 171/1000
1s - loss: 0.0080 - mse: 6.9941 - val_loss: 0.0099 - val_mse: 8.5960
Epoch 172/1000
1s - loss: 0.0057 - mse: 4.9972 - val_loss: 0.0116 - val_mse: 10.1390
Epoch 173/1000
1s - loss: 0.0073 - mse: 6.3573 - val_loss: 0.0097 - val_mse: 8.4099
Epoch 174/1000
1s - loss: 0.0056 - mse: 4.8912 - val_loss: 0.0104 - val_mse: 9.0509
Epoch 175/1000
1s - loss: 0.0069 - mse: 5.9915 - val_loss: 0.0095 - val_mse: 8.3027
Epoch 176/1000
1s - loss: 0.0055 - mse: 4.7967 - val_loss: 0.0108 - val_mse: 9.3667
Epoch 177/1000
1s - loss: 0.0064 - mse: 5.6031 - val_loss: 0.0096 - val_mse: 8.3610
Epoch 178/1000
1s - loss: 0.0055 - mse: 4.7564 - val_loss: 0.0098 - val_mse: 8.5130
Epoch 179/1000
1s - loss: 0.0061 - mse: 5.2787 - val_loss: 0.0094 - val_mse: 8.2054
Epoch 180/1000
1s - loss: 0.0054 - mse: 4.7047 - val_loss: 0.0101 - val_mse: 8.8226
Epoch 181/1000
1s - loss: 0.0057 - mse: 4.9806 - val_loss: 0.0097 - val_mse: 8.4632
Epoch 182/1000
1s - loss: 0.0054 - mse: 4.6923 - val_loss: 0.0094 - val_mse: 8.1601
Epoch 183/1000
1s - loss: 0.0054 - mse: 4.7150 - val_loss: 0.0093 - val_mse: 8.1281
Epoch 184/1000

Epoch 00183: reducing learning rate to 0.00343000004068.
1s - loss: 0.0053 - mse: 4.6418 - val_loss: 0.0096 - val_mse: 8.3466
Epoch 185/1000
1s - loss: 0.0052 - mse: 4.5180 - val_loss: 0.0096 - val_mse: 8.3947
Epoch 186/1000
1s - loss: 0.0052 - mse: 4.5271 - val_loss: 0.0093 - val_mse: 8.0936
Epoch 187/1000
1s - loss: 0.0050 - mse: 4.3498 - val_loss: 0.0092 - val_mse: 8.0308
Epoch 188/1000
1s - loss: 0.0051 - mse: 4.4232 - val_loss: 0.0092 - val_mse: 8.0181
Epoch 189/1000
1s - loss: 0.0050 - mse: 4.3435 - val_loss: 0.0093 - val_mse: 8.1071
Epoch 190/1000
1s - loss: 0.0049 - mse: 4.2707 - val_loss: 0.0094 - val_mse: 8.1869
Epoch 191/1000
1s - loss: 0.0049 - mse: 4.2968 - val_loss: 0.0092 - val_mse: 8.0329
Epoch 192/1000
1s - loss: 0.0048 - mse: 4.2144 - val_loss: 0.0090 - val_mse: 7.8794
Epoch 193/1000
1s - loss: 0.0048 - mse: 4.1791 - val_loss: 0.0090 - val_mse: 7.8717
Epoch 194/1000
1s - loss: 0.0048 - mse: 4.1789 - val_loss: 0.0091 - val_mse: 7.8836
Epoch 195/1000
1s - loss: 0.0047 - mse: 4.1018 - val_loss: 0.0091 - val_mse: 7.9222
Epoch 196/1000
1s - loss: 0.0047 - mse: 4.0937 - val_loss: 0.0090 - val_mse: 7.8686
Epoch 197/1000
1s - loss: 0.0047 - mse: 4.0708 - val_loss: 0.0089 - val_mse: 7.7282
Epoch 198/1000
1s - loss: 0.0046 - mse: 4.0021 - val_loss: 0.0089 - val_mse: 7.7230
Epoch 199/1000
1s - loss: 0.0046 - mse: 4.0151 - val_loss: 0.0089 - val_mse: 7.7123
Epoch 200/1000
1s - loss: 0.0045 - mse: 3.9536 - val_loss: 0.0089 - val_mse: 7.7316
Epoch 201/1000
1s - loss: 0.0045 - mse: 3.9275 - val_loss: 0.0089 - val_mse: 7.7227
Epoch 202/1000
1s - loss: 0.0045 - mse: 3.9185 - val_loss: 0.0088 - val_mse: 7.6199
Epoch 203/1000
1s - loss: 0.0044 - mse: 3.8524 - val_loss: 0.0087 - val_mse: 7.6091
Epoch 204/1000
1s - loss: 0.0044 - mse: 3.8607 - val_loss: 0.0087 - val_mse: 7.5820
Epoch 205/1000
1s - loss: 0.0044 - mse: 3.8042 - val_loss: 0.0087 - val_mse: 7.6100
Epoch 206/1000
1s - loss: 0.0043 - mse: 3.7841 - val_loss: 0.0087 - val_mse: 7.6153
Epoch 207/1000

Epoch 00206: reducing learning rate to 0.00240100002848.
1s - loss: 0.0043 - mse: 3.7632 - val_loss: 0.0087 - val_mse: 7.5582
Epoch 208/1000
1s - loss: 0.0043 - mse: 3.7150 - val_loss: 0.0087 - val_mse: 7.5374
Epoch 209/1000
1s - loss: 0.0043 - mse: 3.7071 - val_loss: 0.0086 - val_mse: 7.5116
Epoch 210/1000
1s - loss: 0.0042 - mse: 3.6804 - val_loss: 0.0086 - val_mse: 7.5096
Epoch 211/1000
1s - loss: 0.0042 - mse: 3.6573 - val_loss: 0.0086 - val_mse: 7.5225
Epoch 212/1000
1s - loss: 0.0042 - mse: 3.6440 - val_loss: 0.0086 - val_mse: 7.5110
Epoch 213/1000
1s - loss: 0.0042 - mse: 3.6207 - val_loss: 0.0086 - val_mse: 7.4798
Epoch 214/1000
1s - loss: 0.0041 - mse: 3.5986 - val_loss: 0.0086 - val_mse: 7.4482
Epoch 215/1000
1s - loss: 0.0041 - mse: 3.5822 - val_loss: 0.0085 - val_mse: 7.4315
Epoch 216/1000
1s - loss: 0.0041 - mse: 3.5619 - val_loss: 0.0085 - val_mse: 7.4376
Epoch 217/1000
1s - loss: 0.0041 - mse: 3.5398 - val_loss: 0.0086 - val_mse: 7.4519
Epoch 218/1000
1s - loss: 0.0040 - mse: 3.5224 - val_loss: 0.0085 - val_mse: 7.4453
Epoch 219/1000
1s - loss: 0.0040 - mse: 3.5039 - val_loss: 0.0085 - val_mse: 7.4151
Epoch 220/1000
1s - loss: 0.0040 - mse: 3.4816 - val_loss: 0.0085 - val_mse: 7.3939
Epoch 221/1000
1s - loss: 0.0040 - mse: 3.4660 - val_loss: 0.0085 - val_mse: 7.3923
Epoch 222/1000
1s - loss: 0.0040 - mse: 3.4466 - val_loss: 0.0085 - val_mse: 7.4054
Epoch 223/1000
1s - loss: 0.0039 - mse: 3.4258 - val_loss: 0.0085 - val_mse: 7.4143
Epoch 224/1000

Epoch 00223: reducing learning rate to 0.00168070008513.
1s - loss: 0.0039 - mse: 3.4101 - val_loss: 0.0085 - val_mse: 7.3954
Epoch 225/1000
1s - loss: 0.0039 - mse: 3.3897 - val_loss: 0.0085 - val_mse: 7.3746
Epoch 226/1000
1s - loss: 0.0039 - mse: 3.3758 - val_loss: 0.0084 - val_mse: 7.3586
Epoch 227/1000
1s - loss: 0.0039 - mse: 3.3639 - val_loss: 0.0084 - val_mse: 7.3523
Epoch 228/1000
1s - loss: 0.0038 - mse: 3.3508 - val_loss: 0.0084 - val_mse: 7.3547
Epoch 229/1000
1s - loss: 0.0038 - mse: 3.3370 - val_loss: 0.0085 - val_mse: 7.3588
Epoch 230/1000
1s - loss: 0.0038 - mse: 3.3244 - val_loss: 0.0084 - val_mse: 7.3563
Epoch 231/1000
1s - loss: 0.0038 - mse: 3.3120 - val_loss: 0.0084 - val_mse: 7.3451
Epoch 232/1000
1s - loss: 0.0038 - mse: 3.2989 - val_loss: 0.0084 - val_mse: 7.3309
Epoch 233/1000
1s - loss: 0.0038 - mse: 3.2859 - val_loss: 0.0084 - val_mse: 7.3206
Epoch 234/1000
1s - loss: 0.0038 - mse: 3.2734 - val_loss: 0.0084 - val_mse: 7.3172
Epoch 235/1000
1s - loss: 0.0037 - mse: 3.2608 - val_loss: 0.0084 - val_mse: 7.3179
Epoch 236/1000
1s - loss: 0.0037 - mse: 3.2477 - val_loss: 0.0084 - val_mse: 7.3182
Epoch 237/1000
1s - loss: 0.0037 - mse: 3.2349 - val_loss: 0.0084 - val_mse: 7.3144
Epoch 238/1000

Epoch 00237: reducing learning rate to 0.00117649007589.
1s - loss: 0.0037 - mse: 3.2226 - val_loss: 0.0084 - val_mse: 7.3053
Epoch 239/1000
1s - loss: 0.0037 - mse: 3.2100 - val_loss: 0.0084 - val_mse: 7.2971
Epoch 240/1000
1s - loss: 0.0037 - mse: 3.2010 - val_loss: 0.0084 - val_mse: 7.2897
Epoch 241/1000
1s - loss: 0.0037 - mse: 3.1925 - val_loss: 0.0084 - val_mse: 7.2846
Epoch 242/1000
1s - loss: 0.0037 - mse: 3.1841 - val_loss: 0.0084 - val_mse: 7.2821
Epoch 243/1000
1s - loss: 0.0036 - mse: 3.1754 - val_loss: 0.0084 - val_mse: 7.2811
Epoch 244/1000
1s - loss: 0.0036 - mse: 3.1667 - val_loss: 0.0084 - val_mse: 7.2803
Epoch 245/1000
1s - loss: 0.0036 - mse: 3.1582 - val_loss: 0.0084 - val_mse: 7.2782
Epoch 246/1000
1s - loss: 0.0036 - mse: 3.1497 - val_loss: 0.0084 - val_mse: 7.2738
Epoch 247/1000
1s - loss: 0.0036 - mse: 3.1411 - val_loss: 0.0083 - val_mse: 7.2676
Epoch 248/1000
1s - loss: 0.0036 - mse: 3.1325 - val_loss: 0.0083 - val_mse: 7.2609
Epoch 249/1000
1s - loss: 0.0036 - mse: 3.1241 - val_loss: 0.0083 - val_mse: 7.2549
Epoch 250/1000
1s - loss: 0.0036 - mse: 3.1155 - val_loss: 0.0083 - val_mse: 7.2509
Epoch 251/1000
1s - loss: 0.0036 - mse: 3.1069 - val_loss: 0.0083 - val_mse: 7.2490
Epoch 252/1000

Epoch 00251: reducing learning rate to 0.000823543069419.
1s - loss: 0.0036 - mse: 3.0985 - val_loss: 0.0083 - val_mse: 7.2479
Epoch 253/1000
1s - loss: 0.0035 - mse: 3.0901 - val_loss: 0.0083 - val_mse: 7.2469
Epoch 254/1000
1s - loss: 0.0035 - mse: 3.0842 - val_loss: 0.0083 - val_mse: 7.2449
Epoch 255/1000
1s - loss: 0.0035 - mse: 3.0783 - val_loss: 0.0083 - val_mse: 7.2419
Epoch 256/1000
1s - loss: 0.0035 - mse: 3.0723 - val_loss: 0.0083 - val_mse: 7.2378
Epoch 257/1000
1s - loss: 0.0035 - mse: 3.0664 - val_loss: 0.0083 - val_mse: 7.2333
Epoch 258/1000
1s - loss: 0.0035 - mse: 3.0604 - val_loss: 0.0083 - val_mse: 7.2294
Epoch 259/1000
1s - loss: 0.0035 - mse: 3.0545 - val_loss: 0.0083 - val_mse: 7.2265
Epoch 260/1000
1s - loss: 0.0035 - mse: 3.0486 - val_loss: 0.0083 - val_mse: 7.2244
Epoch 261/1000
1s - loss: 0.0035 - mse: 3.0428 - val_loss: 0.0083 - val_mse: 7.2224
Epoch 262/1000
1s - loss: 0.0035 - mse: 3.0369 - val_loss: 0.0083 - val_mse: 7.2201
Epoch 263/1000
1s - loss: 0.0035 - mse: 3.0311 - val_loss: 0.0083 - val_mse: 7.2168
Epoch 264/1000
1s - loss: 0.0035 - mse: 3.0253 - val_loss: 0.0083 - val_mse: 7.2128
Epoch 265/1000
1s - loss: 0.0035 - mse: 3.0195 - val_loss: 0.0083 - val_mse: 7.2083
Epoch 266/1000

Epoch 00265: reducing learning rate to 0.000576480140444.
1s - loss: 0.0035 - mse: 3.0137 - val_loss: 0.0083 - val_mse: 7.2038
Epoch 267/1000
1s - loss: 0.0035 - mse: 3.0078 - val_loss: 0.0083 - val_mse: 7.2010
Epoch 268/1000
1s - loss: 0.0034 - mse: 3.0038 - val_loss: 0.0083 - val_mse: 7.1987
Epoch 269/1000
1s - loss: 0.0034 - mse: 2.9996 - val_loss: 0.0083 - val_mse: 7.1970
Epoch 270/1000
1s - loss: 0.0034 - mse: 2.9956 - val_loss: 0.0083 - val_mse: 7.1955
Epoch 271/1000
1s - loss: 0.0034 - mse: 2.9915 - val_loss: 0.0083 - val_mse: 7.1940
Epoch 272/1000
1s - loss: 0.0034 - mse: 2.9874 - val_loss: 0.0083 - val_mse: 7.1921
Epoch 273/1000
1s - loss: 0.0034 - mse: 2.9832 - val_loss: 0.0083 - val_mse: 7.1900
Epoch 274/1000
1s - loss: 0.0034 - mse: 2.9791 - val_loss: 0.0083 - val_mse: 7.1879
Epoch 275/1000
1s - loss: 0.0034 - mse: 2.9750 - val_loss: 0.0083 - val_mse: 7.1857
Epoch 276/1000
1s - loss: 0.0034 - mse: 2.9709 - val_loss: 0.0082 - val_mse: 7.1835
Epoch 277/1000
1s - loss: 0.0034 - mse: 2.9668 - val_loss: 0.0082 - val_mse: 7.1811
Epoch 278/1000
1s - loss: 0.0034 - mse: 2.9627 - val_loss: 0.0082 - val_mse: 7.1787
Epoch 279/1000
1s - loss: 0.0034 - mse: 2.9585 - val_loss: 0.0082 - val_mse: 7.1763
Epoch 280/1000

Epoch 00279: reducing learning rate to 0.000403536082013.
1s - loss: 0.0034 - mse: 2.9544 - val_loss: 0.0082 - val_mse: 7.1740
Epoch 281/1000
1s - loss: 0.0034 - mse: 2.9503 - val_loss: 0.0082 - val_mse: 7.1724
Epoch 282/1000
1s - loss: 0.0034 - mse: 2.9474 - val_loss: 0.0082 - val_mse: 7.1710
Epoch 283/1000
1s - loss: 0.0034 - mse: 2.9445 - val_loss: 0.0082 - val_mse: 7.1696
Epoch 284/1000
1s - loss: 0.0034 - mse: 2.9416 - val_loss: 0.0082 - val_mse: 7.1680
Epoch 285/1000
1s - loss: 0.0034 - mse: 2.9387 - val_loss: 0.0082 - val_mse: 7.1666
Epoch 286/1000
1s - loss: 0.0034 - mse: 2.9359 - val_loss: 0.0082 - val_mse: 7.1652
Epoch 287/1000
1s - loss: 0.0034 - mse: 2.9330 - val_loss: 0.0082 - val_mse: 7.1638
Epoch 288/1000
1s - loss: 0.0034 - mse: 2.9301 - val_loss: 0.0082 - val_mse: 7.1624
Epoch 289/1000
1s - loss: 0.0034 - mse: 2.9272 - val_loss: 0.0082 - val_mse: 7.1611
Epoch 290/1000
1s - loss: 0.0034 - mse: 2.9243 - val_loss: 0.0082 - val_mse: 7.1598
Epoch 291/1000
1s - loss: 0.0034 - mse: 2.9214 - val_loss: 0.0082 - val_mse: 7.1587
Epoch 292/1000
1s - loss: 0.0034 - mse: 2.9186 - val_loss: 0.0082 - val_mse: 7.1577
Epoch 293/1000
1s - loss: 0.0033 - mse: 2.9157 - val_loss: 0.0082 - val_mse: 7.1565
Epoch 294/1000

Epoch 00293: reducing learning rate to 0.000282475253334.
1s - loss: 0.0033 - mse: 2.9128 - val_loss: 0.0082 - val_mse: 7.1551
Epoch 295/1000
1s - loss: 0.0033 - mse: 2.9100 - val_loss: 0.0082 - val_mse: 7.1542
Epoch 296/1000
1s - loss: 0.0033 - mse: 2.9080 - val_loss: 0.0082 - val_mse: 7.1533
Epoch 297/1000
1s - loss: 0.0033 - mse: 2.9060 - val_loss: 0.0082 - val_mse: 7.1526
Epoch 298/1000
1s - loss: 0.0033 - mse: 2.9040 - val_loss: 0.0082 - val_mse: 7.1519
Epoch 299/1000
1s - loss: 0.0033 - mse: 2.9020 - val_loss: 0.0082 - val_mse: 7.1512
Epoch 300/1000
1s - loss: 0.0033 - mse: 2.9001 - val_loss: 0.0082 - val_mse: 7.1505
Epoch 301/1000
1s - loss: 0.0033 - mse: 2.8981 - val_loss: 0.0082 - val_mse: 7.1497
Epoch 302/1000
1s - loss: 0.0033 - mse: 2.8962 - val_loss: 0.0082 - val_mse: 7.1489
Epoch 303/1000
1s - loss: 0.0033 - mse: 2.8942 - val_loss: 0.0082 - val_mse: 7.1480
Epoch 304/1000
1s - loss: 0.0033 - mse: 2.8923 - val_loss: 0.0082 - val_mse: 7.1473
Epoch 305/1000
1s - loss: 0.0033 - mse: 2.8903 - val_loss: 0.0082 - val_mse: 7.1465
Epoch 306/1000
1s - loss: 0.0033 - mse: 2.8884 - val_loss: 0.0082 - val_mse: 7.1458
Epoch 307/1000
1s - loss: 0.0033 - mse: 2.8865 - val_loss: 0.0082 - val_mse: 7.1450
Epoch 308/1000
1s - loss: 0.0033 - mse: 2.8845 - val_loss: 0.0082 - val_mse: 7.1441
Epoch 309/1000
1s - loss: 0.0033 - mse: 2.8826 - val_loss: 0.0082 - val_mse: 7.1431
Epoch 310/1000
1s - loss: 0.0033 - mse: 2.8806 - val_loss: 0.0082 - val_mse: 7.1423
Epoch 311/1000

Epoch 00310: reducing learning rate to 0.000197732681409.
1s - loss: 0.0033 - mse: 2.8787 - val_loss: 0.0082 - val_mse: 7.1415
Epoch 312/1000
1s - loss: 0.0033 - mse: 2.8768 - val_loss: 0.0082 - val_mse: 7.1409
Epoch 313/1000
1s - loss: 0.0033 - mse: 2.8754 - val_loss: 0.0082 - val_mse: 7.1403
Epoch 314/1000
1s - loss: 0.0033 - mse: 2.8740 - val_loss: 0.0082 - val_mse: 7.1397
Epoch 315/1000
1s - loss: 0.0033 - mse: 2.8727 - val_loss: 0.0082 - val_mse: 7.1391
Epoch 316/1000
1s - loss: 0.0033 - mse: 2.8713 - val_loss: 0.0082 - val_mse: 7.1385
Epoch 317/1000
1s - loss: 0.0033 - mse: 2.8700 - val_loss: 0.0082 - val_mse: 7.1380
Epoch 318/1000
1s - loss: 0.0033 - mse: 2.8686 - val_loss: 0.0082 - val_mse: 7.1374
Epoch 319/1000
1s - loss: 0.0033 - mse: 2.8672 - val_loss: 0.0082 - val_mse: 7.1368
Epoch 320/1000
1s - loss: 0.0033 - mse: 2.8659 - val_loss: 0.0082 - val_mse: 7.1361
Epoch 321/1000
1s - loss: 0.0033 - mse: 2.8645 - val_loss: 0.0082 - val_mse: 7.1356
Epoch 322/1000
1s - loss: 0.0033 - mse: 2.8631 - val_loss: 0.0082 - val_mse: 7.1351
Epoch 323/1000
1s - loss: 0.0033 - mse: 2.8617 - val_loss: 0.0082 - val_mse: 7.1347
Epoch 324/1000
1s - loss: 0.0033 - mse: 2.8604 - val_loss: 0.0082 - val_mse: 7.1343
Epoch 325/1000

Epoch 00324: reducing learning rate to 0.000138412872911.
1s - loss: 0.0033 - mse: 2.8590 - val_loss: 0.0082 - val_mse: 7.1338
Epoch 326/1000
1s - loss: 0.0033 - mse: 2.8576 - val_loss: 0.0082 - val_mse: 7.1335
Epoch 327/1000
1s - loss: 0.0033 - mse: 2.8567 - val_loss: 0.0082 - val_mse: 7.1331
Epoch 328/1000
1s - loss: 0.0033 - mse: 2.8557 - val_loss: 0.0082 - val_mse: 7.1326
Epoch 329/1000
1s - loss: 0.0033 - mse: 2.8547 - val_loss: 0.0082 - val_mse: 7.1322
Epoch 330/1000
1s - loss: 0.0033 - mse: 2.8538 - val_loss: 0.0082 - val_mse: 7.1319
Epoch 331/1000
1s - loss: 0.0033 - mse: 2.8528 - val_loss: 0.0082 - val_mse: 7.1315
Epoch 332/1000
1s - loss: 0.0033 - mse: 2.8519 - val_loss: 0.0082 - val_mse: 7.1311
Epoch 333/1000
1s - loss: 0.0033 - mse: 2.8509 - val_loss: 0.0082 - val_mse: 7.1308
Epoch 334/1000
1s - loss: 0.0033 - mse: 2.8500 - val_loss: 0.0082 - val_mse: 7.1305
Epoch 335/1000
1s - loss: 0.0033 - mse: 2.8490 - val_loss: 0.0082 - val_mse: 7.1302
Epoch 336/1000
1s - loss: 0.0033 - mse: 2.8480 - val_loss: 0.0082 - val_mse: 7.1299
Epoch 337/1000
1s - loss: 0.0033 - mse: 2.8471 - val_loss: 0.0082 - val_mse: 7.1295
Epoch 338/1000
1s - loss: 0.0033 - mse: 2.8461 - val_loss: 0.0082 - val_mse: 7.1291
Epoch 339/1000

Epoch 00338: reducing learning rate to 9.68890090007e-05.
1s - loss: 0.0033 - mse: 2.8452 - val_loss: 0.0082 - val_mse: 7.1287
Epoch 340/1000
1s - loss: 0.0033 - mse: 2.8442 - val_loss: 0.0082 - val_mse: 7.1284
Epoch 341/1000
1s - loss: 0.0033 - mse: 2.8436 - val_loss: 0.0082 - val_mse: 7.1282
Epoch 342/1000
1s - loss: 0.0033 - mse: 2.8429 - val_loss: 0.0082 - val_mse: 7.1279
Epoch 343/1000
1s - loss: 0.0033 - mse: 2.8422 - val_loss: 0.0082 - val_mse: 7.1278
Epoch 344/1000
1s - loss: 0.0033 - mse: 2.8416 - val_loss: 0.0082 - val_mse: 7.1275
Epoch 345/1000
1s - loss: 0.0033 - mse: 2.8409 - val_loss: 0.0082 - val_mse: 7.1273
Epoch 346/1000
1s - loss: 0.0033 - mse: 2.8402 - val_loss: 0.0082 - val_mse: 7.1270
Epoch 347/1000
1s - loss: 0.0033 - mse: 2.8396 - val_loss: 0.0082 - val_mse: 7.1268
Epoch 348/1000
1s - loss: 0.0033 - mse: 2.8389 - val_loss: 0.0082 - val_mse: 7.1266
Epoch 349/1000
1s - loss: 0.0033 - mse: 2.8382 - val_loss: 0.0082 - val_mse: 7.1264
Epoch 350/1000
1s - loss: 0.0033 - mse: 2.8376 - val_loss: 0.0082 - val_mse: 7.1262
Epoch 351/1000
1s - loss: 0.0033 - mse: 2.8369 - val_loss: 0.0082 - val_mse: 7.1259
Epoch 352/1000
1s - loss: 0.0033 - mse: 2.8363 - val_loss: 0.0082 - val_mse: 7.1256
Epoch 353/1000

Epoch 00352: reducing learning rate to 6.78223063005e-05.
1s - loss: 0.0033 - mse: 2.8356 - val_loss: 0.0082 - val_mse: 7.1253
Epoch 354/1000
1s - loss: 0.0033 - mse: 2.8350 - val_loss: 0.0082 - val_mse: 7.1251
Epoch 355/1000
1s - loss: 0.0033 - mse: 2.8345 - val_loss: 0.0082 - val_mse: 7.1250
Epoch 356/1000
1s - loss: 0.0033 - mse: 2.8340 - val_loss: 0.0082 - val_mse: 7.1248
Epoch 357/1000
1s - loss: 0.0033 - mse: 2.8336 - val_loss: 0.0082 - val_mse: 7.1246
[{'loss': 0.002089665038511157, 'run': 0, 'width0': 135, 'width1': 150, 'val_mse': 7.7888374328613281, 'mse': 1.8197623491287231, 'val_loss': 0.0089440615847706795, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.00044063656241632998, 'run': 1, 'width0': 135, 'width1': 150, 'val_mse': 5.2644405364990234, 'mse': 0.38372343778610229, 'val_loss': 0.0060452516190707684, 'dropout1': 0, 'dropout0': 0}, {'loss': 0.0032538396771997213, 'run': 2, 'width0': 135, 'width1': 150, 'val_mse': 7.1246442794799805, 'mse': 2.8335700035095215, 'val_loss': 0.0081813549622893333, 'dropout1': 0, 'dropout0': 0}]



In [55]:

    
print pd.DataFrame(rerun_perf)['val_mse']
print np.mean(pd.DataFrame(rerun_perf)['val_mse'])
pd.DataFrame(rerun_perf).loc[:,['run','mse','val_mse']].set_index('run').plot()









    



0    7.788837
1    5.264441
2    7.124644
Name: val_mse, dtype: float64
6.72597408295






    Out[55]:





<matplotlib.axes._subplots.AxesSubplot at 0x1669520d0>

Dropout on 2nd layer?



In [63]:

    
dropout_patience = 2
width1 = 135
width2 = 150
dropout_perf = []
prev_weights = None
for dropout2 in np.linspace(0.0, 0.5, num=6):
    fit, results, prev_weights = run_depthn([{'width':width1, 'dropout':0},
                                             {'width':width2, 'dropout':dropout2}
                                            ], learningrates2, prev_weights, 'dropout2nd')
    dropout_perf.append(results)
    print dropout_perf
    if len(dropout_perf)>dropout_patience and \
            dropout_perf[-1]['val_mse']>np.min(x['val_mse'] for x in dropout_perf[-dropout_patience:-1]):
        break









    



_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_30 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_31 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_17 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.9826 - mse: 855.6521 - val_loss: 0.7567 - val_mse: 658.9590
Epoch 2/1000
1s - loss: 0.7259 - mse: 632.1243 - val_loss: 0.8886 - val_mse: 773.8506
Epoch 3/1000
1s - loss: 0.8643 - mse: 752.7092 - val_loss: 0.7393 - val_mse: 643.8422
Epoch 4/1000
1s - loss: 0.7118 - mse: 619.9037 - val_loss: 0.4595 - val_mse: 400.1246
Epoch 5/1000
1s - loss: 0.4344 - mse: 378.2612 - val_loss: 0.2200 - val_mse: 191.5490
Epoch 6/1000
1s - loss: 0.2038 - mse: 177.4739 - val_loss: 0.5566 - val_mse: 484.7417
Epoch 7/1000
1s - loss: 0.5259 - mse: 457.9442 - val_loss: 0.2449 - val_mse: 213.3027
Epoch 8/1000
1s - loss: 0.2415 - mse: 210.3280 - val_loss: 0.2643 - val_mse: 230.1663
Epoch 9/1000
1s - loss: 0.2522 - mse: 219.6137 - val_loss: 0.2595 - val_mse: 226.0228
Epoch 10/1000

Epoch 00009: reducing learning rate to 0.00699999984354.
2s - loss: 0.2496 - mse: 217.3465 - val_loss: 0.2443 - val_mse: 212.7811
Epoch 11/1000
1s - loss: 0.2402 - mse: 209.1695 - val_loss: 0.1779 - val_mse: 154.9556
Epoch 12/1000
1s - loss: 0.1721 - mse: 149.8468 - val_loss: 0.1254 - val_mse: 109.1878
Epoch 13/1000
1s - loss: 0.1165 - mse: 101.4894 - val_loss: 0.1245 - val_mse: 108.4243
Epoch 14/1000
1s - loss: 0.1145 - mse: 99.7028 - val_loss: 0.1299 - val_mse: 113.1565
Epoch 15/1000
1s - loss: 0.1188 - mse: 103.4623 - val_loss: 0.1313 - val_mse: 114.3843
Epoch 16/1000
1s - loss: 0.1171 - mse: 101.9899 - val_loss: 0.1425 - val_mse: 124.1223
Epoch 17/1000
1s - loss: 0.1261 - mse: 109.7882 - val_loss: 0.1156 - val_mse: 100.7072
Epoch 18/1000
1s - loss: 0.1017 - mse: 88.5761 - val_loss: 0.0918 - val_mse: 79.9160
Epoch 19/1000
1s - loss: 0.0809 - mse: 70.4579 - val_loss: 0.0924 - val_mse: 80.4505
Epoch 20/1000
1s - loss: 0.0833 - mse: 72.5652 - val_loss: 0.0987 - val_mse: 85.9109
Epoch 21/1000
1s - loss: 0.0909 - mse: 79.1810 - val_loss: 0.0974 - val_mse: 84.8512
Epoch 22/1000
1s - loss: 0.0909 - mse: 79.1204 - val_loss: 0.0873 - val_mse: 76.0664
Epoch 23/1000
1s - loss: 0.0815 - mse: 70.9810 - val_loss: 0.0746 - val_mse: 64.9431
Epoch 24/1000
1s - loss: 0.0690 - mse: 60.0739 - val_loss: 0.0657 - val_mse: 57.1860
Epoch 25/1000
1s - loss: 0.0600 - mse: 52.2270 - val_loss: 0.0628 - val_mse: 54.6848
Epoch 26/1000
1s - loss: 0.0569 - mse: 49.5442 - val_loss: 0.0638 - val_mse: 55.5259
Epoch 27/1000
1s - loss: 0.0578 - mse: 50.3541 - val_loss: 0.0646 - val_mse: 56.2962
Epoch 28/1000
1s - loss: 0.0590 - mse: 51.4001 - val_loss: 0.0624 - val_mse: 54.3742
Epoch 29/1000
1s - loss: 0.0575 - mse: 50.0343 - val_loss: 0.0567 - val_mse: 49.3752
Epoch 30/1000
1s - loss: 0.0525 - mse: 45.6947 - val_loss: 0.0499 - val_mse: 43.4580
Epoch 31/1000
1s - loss: 0.0463 - mse: 40.3388 - val_loss: 0.0456 - val_mse: 39.6808
Epoch 32/1000
1s - loss: 0.0424 - mse: 36.9266 - val_loss: 0.0446 - val_mse: 38.8193
Epoch 33/1000
1s - loss: 0.0417 - mse: 36.3463 - val_loss: 0.0444 - val_mse: 38.6238
Epoch 34/1000
1s - loss: 0.0420 - mse: 36.6091 - val_loss: 0.0440 - val_mse: 38.3166
Epoch 35/1000
1s - loss: 0.0422 - mse: 36.7804 - val_loss: 0.0439 - val_mse: 38.2641
Epoch 36/1000
1s - loss: 0.0422 - mse: 36.7508 - val_loss: 0.0417 - val_mse: 36.3408
Epoch 37/1000
1s - loss: 0.0395 - mse: 34.4272 - val_loss: 0.0379 - val_mse: 33.0282
Epoch 38/1000
1s - loss: 0.0351 - mse: 30.5989 - val_loss: 0.0364 - val_mse: 31.7259
Epoch 39/1000
1s - loss: 0.0329 - mse: 28.6796 - val_loss: 0.0374 - val_mse: 32.5828
Epoch 40/1000
1s - loss: 0.0332 - mse: 28.9097 - val_loss: 0.0381 - val_mse: 33.2032
Epoch 41/1000
1s - loss: 0.0334 - mse: 29.1082 - val_loss: 0.0376 - val_mse: 32.7477
Epoch 42/1000
1s - loss: 0.0328 - mse: 28.5396 - val_loss: 0.0364 - val_mse: 31.6792
Epoch 43/1000
1s - loss: 0.0318 - mse: 27.6555 - val_loss: 0.0345 - val_mse: 30.0820
Epoch 44/1000
1s - loss: 0.0305 - mse: 26.5387 - val_loss: 0.0322 - val_mse: 28.0219
Epoch 45/1000
1s - loss: 0.0289 - mse: 25.1744 - val_loss: 0.0302 - val_mse: 26.2591
Epoch 46/1000
1s - loss: 0.0276 - mse: 24.0757 - val_loss: 0.0293 - val_mse: 25.4814
Epoch 47/1000
1s - loss: 0.0272 - mse: 23.6880 - val_loss: 0.0292 - val_mse: 25.4255
Epoch 48/1000
1s - loss: 0.0272 - mse: 23.6694 - val_loss: 0.0290 - val_mse: 25.2608
Epoch 49/1000
1s - loss: 0.0267 - mse: 23.2805 - val_loss: 0.0286 - val_mse: 24.9183
Epoch 50/1000
1s - loss: 0.0259 - mse: 22.5313 - val_loss: 0.0286 - val_mse: 24.8838
Epoch 51/1000
1s - loss: 0.0252 - mse: 21.9839 - val_loss: 0.0288 - val_mse: 25.0420
Epoch 52/1000
1s - loss: 0.0249 - mse: 21.6954 - val_loss: 0.0286 - val_mse: 24.9148
Epoch 53/1000
1s - loss: 0.0245 - mse: 21.3501 - val_loss: 0.0281 - val_mse: 24.4588
Epoch 54/1000
1s - loss: 0.0240 - mse: 20.9241 - val_loss: 0.0275 - val_mse: 23.9327
Epoch 55/1000
1s - loss: 0.0237 - mse: 20.6047 - val_loss: 0.0269 - val_mse: 23.4394
Epoch 56/1000
1s - loss: 0.0234 - mse: 20.4095 - val_loss: 0.0263 - val_mse: 22.9066
Epoch 57/1000
1s - loss: 0.0232 - mse: 20.1907 - val_loss: 0.0256 - val_mse: 22.3360
Epoch 58/1000
1s - loss: 0.0228 - mse: 19.8824 - val_loss: 0.0251 - val_mse: 21.8405
Epoch 59/1000
1s - loss: 0.0224 - mse: 19.5452 - val_loss: 0.0247 - val_mse: 21.4853
Epoch 60/1000
1s - loss: 0.0221 - mse: 19.2205 - val_loss: 0.0244 - val_mse: 21.2409
Epoch 61/1000
1s - loss: 0.0217 - mse: 18.8928 - val_loss: 0.0242 - val_mse: 21.0930
Epoch 62/1000
1s - loss: 0.0213 - mse: 18.5878 - val_loss: 0.0242 - val_mse: 21.0660
Epoch 63/1000
1s - loss: 0.0211 - mse: 18.3814 - val_loss: 0.0242 - val_mse: 21.0882
Epoch 64/1000
1s - loss: 0.0210 - mse: 18.2550 - val_loss: 0.0241 - val_mse: 20.9792
Epoch 65/1000
1s - loss: 0.0208 - mse: 18.0708 - val_loss: 0.0237 - val_mse: 20.6624
Epoch 66/1000
1s - loss: 0.0204 - mse: 17.7692 - val_loss: 0.0233 - val_mse: 20.2473
Epoch 67/1000
1s - loss: 0.0200 - mse: 17.4501 - val_loss: 0.0228 - val_mse: 19.8535
Epoch 68/1000
1s - loss: 0.0198 - mse: 17.2133 - val_loss: 0.0224 - val_mse: 19.5052
Epoch 69/1000
1s - loss: 0.0196 - mse: 17.0498 - val_loss: 0.0220 - val_mse: 19.1905
Epoch 70/1000
1s - loss: 0.0194 - mse: 16.9034 - val_loss: 0.0217 - val_mse: 18.9095
Epoch 71/1000
1s - loss: 0.0192 - mse: 16.7302 - val_loss: 0.0214 - val_mse: 18.6744
Epoch 72/1000
1s - loss: 0.0190 - mse: 16.5212 - val_loss: 0.0212 - val_mse: 18.4988
Epoch 73/1000
1s - loss: 0.0187 - mse: 16.2890 - val_loss: 0.0211 - val_mse: 18.3980
Epoch 74/1000
1s - loss: 0.0185 - mse: 16.0739 - val_loss: 0.0211 - val_mse: 18.3764
Epoch 75/1000
1s - loss: 0.0183 - mse: 15.9191 - val_loss: 0.0211 - val_mse: 18.3690
Epoch 76/1000
1s - loss: 0.0182 - mse: 15.8140 - val_loss: 0.0210 - val_mse: 18.2657
Epoch 77/1000
1s - loss: 0.0180 - mse: 15.6947 - val_loss: 0.0207 - val_mse: 18.0235
Epoch 78/1000
1s - loss: 0.0178 - mse: 15.5275 - val_loss: 0.0203 - val_mse: 17.7085
Epoch 79/1000
1s - loss: 0.0176 - mse: 15.3454 - val_loss: 0.0200 - val_mse: 17.4107
Epoch 80/1000
1s - loss: 0.0174 - mse: 15.1903 - val_loss: 0.0197 - val_mse: 17.1664
Epoch 81/1000
1s - loss: 0.0173 - mse: 15.0634 - val_loss: 0.0195 - val_mse: 16.9710
Epoch 82/1000
1s - loss: 0.0172 - mse: 14.9441 - val_loss: 0.0193 - val_mse: 16.8098
Epoch 83/1000
1s - loss: 0.0170 - mse: 14.8167 - val_loss: 0.0191 - val_mse: 16.6693
Epoch 84/1000
1s - loss: 0.0169 - mse: 14.6768 - val_loss: 0.0190 - val_mse: 16.5400
Epoch 85/1000
1s - loss: 0.0167 - mse: 14.5309 - val_loss: 0.0189 - val_mse: 16.4234
Epoch 86/1000
1s - loss: 0.0165 - mse: 14.3959 - val_loss: 0.0187 - val_mse: 16.3136
Epoch 87/1000
1s - loss: 0.0164 - mse: 14.2784 - val_loss: 0.0186 - val_mse: 16.1928
Epoch 88/1000
1s - loss: 0.0163 - mse: 14.1683 - val_loss: 0.0184 - val_mse: 16.0455
Epoch 89/1000
1s - loss: 0.0161 - mse: 14.0540 - val_loss: 0.0182 - val_mse: 15.8750
Epoch 90/1000
1s - loss: 0.0160 - mse: 13.9364 - val_loss: 0.0180 - val_mse: 15.6989
Epoch 91/1000
1s - loss: 0.0159 - mse: 13.8234 - val_loss: 0.0178 - val_mse: 15.5342
Epoch 92/1000
1s - loss: 0.0158 - mse: 13.7173 - val_loss: 0.0177 - val_mse: 15.3911
Epoch 93/1000
1s - loss: 0.0156 - mse: 13.6133 - val_loss: 0.0175 - val_mse: 15.2761
Epoch 94/1000
1s - loss: 0.0155 - mse: 13.5107 - val_loss: 0.0174 - val_mse: 15.1882
Epoch 95/1000
1s - loss: 0.0154 - mse: 13.4118 - val_loss: 0.0174 - val_mse: 15.1146
Epoch 96/1000
1s - loss: 0.0153 - mse: 13.3146 - val_loss: 0.0173 - val_mse: 15.0380
Epoch 97/1000
1s - loss: 0.0152 - mse: 13.2165 - val_loss: 0.0172 - val_mse: 14.9465
Epoch 98/1000
1s - loss: 0.0151 - mse: 13.1168 - val_loss: 0.0170 - val_mse: 14.8388
Epoch 99/1000
1s - loss: 0.0149 - mse: 13.0183 - val_loss: 0.0169 - val_mse: 14.7242
Epoch 100/1000
1s - loss: 0.0148 - mse: 12.9246 - val_loss: 0.0168 - val_mse: 14.6109
Epoch 101/1000
1s - loss: 0.0147 - mse: 12.8340 - val_loss: 0.0167 - val_mse: 14.5062
Epoch 102/1000
1s - loss: 0.0146 - mse: 12.7426 - val_loss: 0.0166 - val_mse: 14.4133
Epoch 103/1000
1s - loss: 0.0145 - mse: 12.6493 - val_loss: 0.0165 - val_mse: 14.3322
Epoch 104/1000
1s - loss: 0.0144 - mse: 12.5578 - val_loss: 0.0164 - val_mse: 14.2568
Epoch 105/1000
1s - loss: 0.0143 - mse: 12.4702 - val_loss: 0.0163 - val_mse: 14.1789
Epoch 106/1000
1s - loss: 0.0142 - mse: 12.3850 - val_loss: 0.0162 - val_mse: 14.0930
Epoch 107/1000
1s - loss: 0.0141 - mse: 12.2984 - val_loss: 0.0161 - val_mse: 14.0022
Epoch 108/1000
1s - loss: 0.0140 - mse: 12.2105 - val_loss: 0.0160 - val_mse: 13.9159
Epoch 109/1000
1s - loss: 0.0139 - mse: 12.1244 - val_loss: 0.0159 - val_mse: 13.8383
Epoch 110/1000
1s - loss: 0.0138 - mse: 12.0403 - val_loss: 0.0158 - val_mse: 13.7681
Epoch 111/1000
1s - loss: 0.0137 - mse: 11.9574 - val_loss: 0.0157 - val_mse: 13.6989
Epoch 112/1000
1s - loss: 0.0136 - mse: 11.8743 - val_loss: 0.0156 - val_mse: 13.6265
Epoch 113/1000
1s - loss: 0.0135 - mse: 11.7910 - val_loss: 0.0156 - val_mse: 13.5502
Epoch 114/1000
1s - loss: 0.0134 - mse: 11.7092 - val_loss: 0.0155 - val_mse: 13.4713
Epoch 115/1000
1s - loss: 0.0134 - mse: 11.6280 - val_loss: 0.0154 - val_mse: 13.3928
Epoch 116/1000
1s - loss: 0.0133 - mse: 11.5470 - val_loss: 0.0153 - val_mse: 13.3182
Epoch 117/1000
1s - loss: 0.0132 - mse: 11.4670 - val_loss: 0.0152 - val_mse: 13.2487
Epoch 118/1000
1s - loss: 0.0131 - mse: 11.3881 - val_loss: 0.0151 - val_mse: 13.1836
Epoch 119/1000
1s - loss: 0.0130 - mse: 11.3107 - val_loss: 0.0151 - val_mse: 13.1206
Epoch 120/1000
1s - loss: 0.0129 - mse: 11.2335 - val_loss: 0.0150 - val_mse: 13.0589
Epoch 121/1000
1s - loss: 0.0128 - mse: 11.1567 - val_loss: 0.0149 - val_mse: 12.9986
Epoch 122/1000
1s - loss: 0.0127 - mse: 11.0806 - val_loss: 0.0149 - val_mse: 12.9393
Epoch 123/1000
1s - loss: 0.0126 - mse: 11.0049 - val_loss: 0.0148 - val_mse: 12.8780
Epoch 124/1000
1s - loss: 0.0126 - mse: 10.9299 - val_loss: 0.0147 - val_mse: 12.8129
Epoch 125/1000
1s - loss: 0.0125 - mse: 10.8552 - val_loss: 0.0146 - val_mse: 12.7453
Epoch 126/1000
1s - loss: 0.0124 - mse: 10.7816 - val_loss: 0.0146 - val_mse: 12.6785
Epoch 127/1000
1s - loss: 0.0123 - mse: 10.7093 - val_loss: 0.0145 - val_mse: 12.6156
Epoch 128/1000
1s - loss: 0.0122 - mse: 10.6380 - val_loss: 0.0144 - val_mse: 12.5584
Epoch 129/1000
1s - loss: 0.0121 - mse: 10.5672 - val_loss: 0.0144 - val_mse: 12.5059
Epoch 130/1000
1s - loss: 0.0121 - mse: 10.4971 - val_loss: 0.0143 - val_mse: 12.4540
Epoch 131/1000
1s - loss: 0.0120 - mse: 10.4282 - val_loss: 0.0142 - val_mse: 12.3979
Epoch 132/1000
1s - loss: 0.0119 - mse: 10.3601 - val_loss: 0.0142 - val_mse: 12.3358
Epoch 133/1000
1s - loss: 0.0118 - mse: 10.2926 - val_loss: 0.0141 - val_mse: 12.2702
Epoch 134/1000
1s - loss: 0.0117 - mse: 10.2260 - val_loss: 0.0140 - val_mse: 12.2058
Epoch 135/1000
1s - loss: 0.0117 - mse: 10.1603 - val_loss: 0.0139 - val_mse: 12.1459
Epoch 136/1000
1s - loss: 0.0116 - mse: 10.0951 - val_loss: 0.0139 - val_mse: 12.0919
Epoch 137/1000
1s - loss: 0.0115 - mse: 10.0304 - val_loss: 0.0138 - val_mse: 12.0424
Epoch 138/1000
1s - loss: 0.0114 - mse: 9.9662 - val_loss: 0.0138 - val_mse: 11.9945
Epoch 139/1000
1s - loss: 0.0114 - mse: 9.9029 - val_loss: 0.0137 - val_mse: 11.9462
Epoch 140/1000
1s - loss: 0.0113 - mse: 9.8407 - val_loss: 0.0137 - val_mse: 11.8968
Epoch 141/1000
1s - loss: 0.0112 - mse: 9.7788 - val_loss: 0.0136 - val_mse: 11.8473
Epoch 142/1000
1s - loss: 0.0112 - mse: 9.7174 - val_loss: 0.0135 - val_mse: 11.7983
Epoch 143/1000
1s - loss: 0.0111 - mse: 9.6564 - val_loss: 0.0135 - val_mse: 11.7508
Epoch 144/1000
1s - loss: 0.0110 - mse: 9.5961 - val_loss: 0.0134 - val_mse: 11.7052
Epoch 145/1000
1s - loss: 0.0110 - mse: 9.5367 - val_loss: 0.0134 - val_mse: 11.6618
Epoch 146/1000
1s - loss: 0.0109 - mse: 9.4781 - val_loss: 0.0133 - val_mse: 11.6207
Epoch 147/1000
1s - loss: 0.0108 - mse: 9.4203 - val_loss: 0.0133 - val_mse: 11.5816
Epoch 148/1000
1s - loss: 0.0108 - mse: 9.3633 - val_loss: 0.0133 - val_mse: 11.5438
Epoch 149/1000
1s - loss: 0.0107 - mse: 9.3072 - val_loss: 0.0132 - val_mse: 11.5063
Epoch 150/1000
1s - loss: 0.0106 - mse: 9.2519 - val_loss: 0.0132 - val_mse: 11.4684
Epoch 151/1000
1s - loss: 0.0106 - mse: 9.1975 - val_loss: 0.0131 - val_mse: 11.4300
Epoch 152/1000
1s - loss: 0.0105 - mse: 9.1439 - val_loss: 0.0131 - val_mse: 11.3926
Epoch 153/1000
1s - loss: 0.0104 - mse: 9.0916 - val_loss: 0.0130 - val_mse: 11.3575
Epoch 154/1000
1s - loss: 0.0104 - mse: 9.0402 - val_loss: 0.0130 - val_mse: 11.3234
Epoch 155/1000
1s - loss: 0.0103 - mse: 8.9895 - val_loss: 0.0130 - val_mse: 11.2890
Epoch 156/1000
1s - loss: 0.0103 - mse: 8.9392 - val_loss: 0.0129 - val_mse: 11.2535
Epoch 157/1000
1s - loss: 0.0102 - mse: 8.8894 - val_loss: 0.0129 - val_mse: 11.2173
Epoch 158/1000
1s - loss: 0.0102 - mse: 8.8404 - val_loss: 0.0128 - val_mse: 11.1808
Epoch 159/1000
1s - loss: 0.0101 - mse: 8.7918 - val_loss: 0.0128 - val_mse: 11.1445
Epoch 160/1000
1s - loss: 0.0100 - mse: 8.7436 - val_loss: 0.0128 - val_mse: 11.1092
Epoch 161/1000
1s - loss: 0.0100 - mse: 8.6958 - val_loss: 0.0127 - val_mse: 11.0750
Epoch 162/1000
1s - loss: 0.0099 - mse: 8.6485 - val_loss: 0.0127 - val_mse: 11.0417
Epoch 163/1000
1s - loss: 0.0099 - mse: 8.6015 - val_loss: 0.0126 - val_mse: 11.0093
Epoch 164/1000
1s - loss: 0.0098 - mse: 8.5552 - val_loss: 0.0126 - val_mse: 10.9776
Epoch 165/1000
1s - loss: 0.0098 - mse: 8.5094 - val_loss: 0.0126 - val_mse: 10.9463
Epoch 166/1000
1s - loss: 0.0097 - mse: 8.4641 - val_loss: 0.0125 - val_mse: 10.9152
Epoch 167/1000
1s - loss: 0.0097 - mse: 8.4194 - val_loss: 0.0125 - val_mse: 10.8834
Epoch 168/1000
1s - loss: 0.0096 - mse: 8.3750 - val_loss: 0.0125 - val_mse: 10.8510
Epoch 169/1000
1s - loss: 0.0096 - mse: 8.3311 - val_loss: 0.0124 - val_mse: 10.8187
Epoch 170/1000
1s - loss: 0.0095 - mse: 8.2877 - val_loss: 0.0124 - val_mse: 10.7873
Epoch 171/1000
1s - loss: 0.0095 - mse: 8.2446 - val_loss: 0.0124 - val_mse: 10.7573
Epoch 172/1000
1s - loss: 0.0094 - mse: 8.2019 - val_loss: 0.0123 - val_mse: 10.7282
Epoch 173/1000
1s - loss: 0.0094 - mse: 8.1598 - val_loss: 0.0123 - val_mse: 10.6996
Epoch 174/1000
1s - loss: 0.0093 - mse: 8.1183 - val_loss: 0.0123 - val_mse: 10.6711
Epoch 175/1000
1s - loss: 0.0093 - mse: 8.0773 - val_loss: 0.0122 - val_mse: 10.6419
Epoch 176/1000
1s - loss: 0.0092 - mse: 8.0366 - val_loss: 0.0122 - val_mse: 10.6122
Epoch 177/1000
1s - loss: 0.0092 - mse: 7.9961 - val_loss: 0.0122 - val_mse: 10.5829
Epoch 178/1000
1s - loss: 0.0091 - mse: 7.9561 - val_loss: 0.0121 - val_mse: 10.5538
Epoch 179/1000
1s - loss: 0.0091 - mse: 7.9163 - val_loss: 0.0121 - val_mse: 10.5258
Epoch 180/1000
1s - loss: 0.0090 - mse: 7.8770 - val_loss: 0.0121 - val_mse: 10.4993
Epoch 181/1000
1s - loss: 0.0090 - mse: 7.8380 - val_loss: 0.0120 - val_mse: 10.4743
Epoch 182/1000
1s - loss: 0.0090 - mse: 7.7993 - val_loss: 0.0120 - val_mse: 10.4497
Epoch 183/1000
1s - loss: 0.0089 - mse: 7.7610 - val_loss: 0.0120 - val_mse: 10.4250
Epoch 184/1000
1s - loss: 0.0089 - mse: 7.7229 - val_loss: 0.0119 - val_mse: 10.4000
Epoch 185/1000
1s - loss: 0.0088 - mse: 7.6851 - val_loss: 0.0119 - val_mse: 10.3750
Epoch 186/1000
1s - loss: 0.0088 - mse: 7.6473 - val_loss: 0.0119 - val_mse: 10.3507
Epoch 187/1000
1s - loss: 0.0087 - mse: 7.6099 - val_loss: 0.0119 - val_mse: 10.3278
Epoch 188/1000
1s - loss: 0.0087 - mse: 7.5728 - val_loss: 0.0118 - val_mse: 10.3058
Epoch 189/1000
1s - loss: 0.0087 - mse: 7.5358 - val_loss: 0.0118 - val_mse: 10.2840
Epoch 190/1000
1s - loss: 0.0086 - mse: 7.4990 - val_loss: 0.0118 - val_mse: 10.2634
Epoch 191/1000
1s - loss: 0.0086 - mse: 7.4625 - val_loss: 0.0118 - val_mse: 10.2436
Epoch 192/1000
1s - loss: 0.0085 - mse: 7.4263 - val_loss: 0.0117 - val_mse: 10.2245
Epoch 193/1000
1s - loss: 0.0085 - mse: 7.3909 - val_loss: 0.0117 - val_mse: 10.2050
Epoch 194/1000
1s - loss: 0.0084 - mse: 7.3561 - val_loss: 0.0117 - val_mse: 10.1848
Epoch 195/1000
1s - loss: 0.0084 - mse: 7.3217 - val_loss: 0.0117 - val_mse: 10.1652
Epoch 196/1000
1s - loss: 0.0084 - mse: 7.2879 - val_loss: 0.0117 - val_mse: 10.1455
Epoch 197/1000
1s - loss: 0.0083 - mse: 7.2542 - val_loss: 0.0116 - val_mse: 10.1261
Epoch 198/1000
1s - loss: 0.0083 - mse: 7.2205 - val_loss: 0.0116 - val_mse: 10.1076
Epoch 199/1000
1s - loss: 0.0083 - mse: 7.1867 - val_loss: 0.0116 - val_mse: 10.0896
Epoch 200/1000
1s - loss: 0.0082 - mse: 7.1532 - val_loss: 0.0116 - val_mse: 10.0733
Epoch 201/1000
1s - loss: 0.0082 - mse: 7.1203 - val_loss: 0.0115 - val_mse: 10.0571
Epoch 202/1000
1s - loss: 0.0081 - mse: 7.0874 - val_loss: 0.0115 - val_mse: 10.0400
Epoch 203/1000

Epoch 00202: reducing learning rate to 0.00489999982528.
1s - loss: 0.0081 - mse: 7.0545 - val_loss: 0.0115 - val_mse: 10.0227
Epoch 204/1000
1s - loss: 0.0081 - mse: 7.0219 - val_loss: 0.0115 - val_mse: 10.0115
Epoch 205/1000
1s - loss: 0.0080 - mse: 6.9991 - val_loss: 0.0115 - val_mse: 10.0009
Epoch 206/1000
1s - loss: 0.0080 - mse: 6.9762 - val_loss: 0.0115 - val_mse: 9.9901
Epoch 207/1000
1s - loss: 0.0080 - mse: 6.9534 - val_loss: 0.0115 - val_mse: 9.9787
Epoch 208/1000
1s - loss: 0.0080 - mse: 6.9306 - val_loss: 0.0114 - val_mse: 9.9668
Epoch 209/1000
1s - loss: 0.0079 - mse: 6.9079 - val_loss: 0.0114 - val_mse: 9.9554
Epoch 210/1000
1s - loss: 0.0079 - mse: 6.8852 - val_loss: 0.0114 - val_mse: 9.9447
Epoch 211/1000
1s - loss: 0.0079 - mse: 6.8627 - val_loss: 0.0114 - val_mse: 9.9344
Epoch 212/1000
1s - loss: 0.0079 - mse: 6.8405 - val_loss: 0.0114 - val_mse: 9.9241
Epoch 213/1000
1s - loss: 0.0078 - mse: 6.8186 - val_loss: 0.0114 - val_mse: 9.9130
Epoch 214/1000
1s - loss: 0.0078 - mse: 6.7966 - val_loss: 0.0114 - val_mse: 9.9011
Epoch 215/1000
1s - loss: 0.0078 - mse: 6.7748 - val_loss: 0.0114 - val_mse: 9.8888
Epoch 216/1000
1s - loss: 0.0078 - mse: 6.7530 - val_loss: 0.0113 - val_mse: 9.8766
Epoch 217/1000

Epoch 00216: reducing learning rate to 0.00343000004068.
1s - loss: 0.0077 - mse: 6.7314 - val_loss: 0.0113 - val_mse: 9.8643
Epoch 218/1000
1s - loss: 0.0077 - mse: 6.7096 - val_loss: 0.0113 - val_mse: 9.8556
Epoch 219/1000
1s - loss: 0.0077 - mse: 6.6944 - val_loss: 0.0113 - val_mse: 9.8470
Epoch 220/1000
1s - loss: 0.0077 - mse: 6.6791 - val_loss: 0.0113 - val_mse: 9.8384
Epoch 221/1000
1s - loss: 0.0077 - mse: 6.6639 - val_loss: 0.0113 - val_mse: 9.8300
Epoch 222/1000
1s - loss: 0.0076 - mse: 6.6487 - val_loss: 0.0113 - val_mse: 9.8217
Epoch 223/1000
1s - loss: 0.0076 - mse: 6.6335 - val_loss: 0.0113 - val_mse: 9.8134
Epoch 224/1000
1s - loss: 0.0076 - mse: 6.6183 - val_loss: 0.0113 - val_mse: 9.8050
Epoch 225/1000
1s - loss: 0.0076 - mse: 6.6031 - val_loss: 0.0112 - val_mse: 9.7966
Epoch 226/1000
1s - loss: 0.0076 - mse: 6.5879 - val_loss: 0.0112 - val_mse: 9.7881
Epoch 227/1000
1s - loss: 0.0075 - mse: 6.5726 - val_loss: 0.0112 - val_mse: 9.7795
Epoch 228/1000
1s - loss: 0.0075 - mse: 6.5573 - val_loss: 0.0112 - val_mse: 9.7710
Epoch 229/1000
1s - loss: 0.0075 - mse: 6.5421 - val_loss: 0.0112 - val_mse: 9.7624
Epoch 230/1000
1s - loss: 0.0075 - mse: 6.5269 - val_loss: 0.0112 - val_mse: 9.7542
Epoch 231/1000

Epoch 00230: reducing learning rate to 0.00240100002848.
1s - loss: 0.0075 - mse: 6.5118 - val_loss: 0.0112 - val_mse: 9.7460
Epoch 232/1000
1s - loss: 0.0075 - mse: 6.4967 - val_loss: 0.0112 - val_mse: 9.7404
Epoch 233/1000
1s - loss: 0.0074 - mse: 6.4860 - val_loss: 0.0112 - val_mse: 9.7352
Epoch 234/1000
1s - loss: 0.0074 - mse: 6.4754 - val_loss: 0.0112 - val_mse: 9.7302
Epoch 235/1000
1s - loss: 0.0074 - mse: 6.4648 - val_loss: 0.0112 - val_mse: 9.7255
Epoch 236/1000
1s - loss: 0.0074 - mse: 6.4542 - val_loss: 0.0112 - val_mse: 9.7210
Epoch 237/1000
1s - loss: 0.0074 - mse: 6.4436 - val_loss: 0.0112 - val_mse: 9.7165
Epoch 238/1000
1s - loss: 0.0074 - mse: 6.4331 - val_loss: 0.0112 - val_mse: 9.7117
Epoch 239/1000
1s - loss: 0.0074 - mse: 6.4227 - val_loss: 0.0111 - val_mse: 9.7066
Epoch 240/1000
1s - loss: 0.0074 - mse: 6.4123 - val_loss: 0.0111 - val_mse: 9.7014
Epoch 241/1000
1s - loss: 0.0074 - mse: 6.4018 - val_loss: 0.0111 - val_mse: 9.6962
Epoch 242/1000
1s - loss: 0.0073 - mse: 6.3914 - val_loss: 0.0111 - val_mse: 9.6909
Epoch 243/1000
1s - loss: 0.0073 - mse: 6.3810 - val_loss: 0.0111 - val_mse: 9.6857
Epoch 244/1000
1s - loss: 0.0073 - mse: 6.3706 - val_loss: 0.0111 - val_mse: 9.6805
Epoch 245/1000

Epoch 00244: reducing learning rate to 0.00168070008513.
1s - loss: 0.0073 - mse: 6.3603 - val_loss: 0.0111 - val_mse: 9.6753
Epoch 246/1000
1s - loss: 0.0073 - mse: 6.3499 - val_loss: 0.0111 - val_mse: 9.6716
Epoch 247/1000
1s - loss: 0.0073 - mse: 6.3426 - val_loss: 0.0111 - val_mse: 9.6678
Epoch 248/1000
1s - loss: 0.0073 - mse: 6.3354 - val_loss: 0.0111 - val_mse: 9.6640
Epoch 249/1000
1s - loss: 0.0073 - mse: 6.3282 - val_loss: 0.0111 - val_mse: 9.6603
Epoch 250/1000
1s - loss: 0.0073 - mse: 6.3210 - val_loss: 0.0111 - val_mse: 9.6566
Epoch 251/1000
1s - loss: 0.0073 - mse: 6.3138 - val_loss: 0.0111 - val_mse: 9.6530
Epoch 252/1000
1s - loss: 0.0072 - mse: 6.3066 - val_loss: 0.0111 - val_mse: 9.6495
Epoch 253/1000
1s - loss: 0.0072 - mse: 6.2994 - val_loss: 0.0111 - val_mse: 9.6460
Epoch 254/1000
1s - loss: 0.0072 - mse: 6.2923 - val_loss: 0.0111 - val_mse: 9.6427
Epoch 255/1000
1s - loss: 0.0072 - mse: 6.2852 - val_loss: 0.0111 - val_mse: 9.6395
Epoch 256/1000
1s - loss: 0.0072 - mse: 6.2781 - val_loss: 0.0111 - val_mse: 9.6364
Epoch 257/1000
1s - loss: 0.0072 - mse: 6.2710 - val_loss: 0.0111 - val_mse: 9.6334
Epoch 258/1000
1s - loss: 0.0072 - mse: 6.2639 - val_loss: 0.0111 - val_mse: 9.6305
Epoch 259/1000

Epoch 00258: reducing learning rate to 0.00117649007589.
1s - loss: 0.0072 - mse: 6.2568 - val_loss: 0.0111 - val_mse: 9.6277
Epoch 260/1000
1s - loss: 0.0072 - mse: 6.2497 - val_loss: 0.0111 - val_mse: 9.6257
Epoch 261/1000
1s - loss: 0.0072 - mse: 6.2447 - val_loss: 0.0111 - val_mse: 9.6238
Epoch 262/1000
1s - loss: 0.0072 - mse: 6.2398 - val_loss: 0.0110 - val_mse: 9.6219
Epoch 263/1000
1s - loss: 0.0072 - mse: 6.2348 - val_loss: 0.0110 - val_mse: 9.6199
Epoch 264/1000
1s - loss: 0.0072 - mse: 6.2299 - val_loss: 0.0110 - val_mse: 9.6179
Epoch 265/1000
1s - loss: 0.0071 - mse: 6.2249 - val_loss: 0.0110 - val_mse: 9.6160
Epoch 266/1000
1s - loss: 0.0071 - mse: 6.2200 - val_loss: 0.0110 - val_mse: 9.6142
Epoch 267/1000
1s - loss: 0.0071 - mse: 6.2150 - val_loss: 0.0110 - val_mse: 9.6125
Epoch 268/1000
1s - loss: 0.0071 - mse: 6.2101 - val_loss: 0.0110 - val_mse: 9.6107
Epoch 269/1000
1s - loss: 0.0071 - mse: 6.2053 - val_loss: 0.0110 - val_mse: 9.6088
Epoch 270/1000
1s - loss: 0.0071 - mse: 6.2004 - val_loss: 0.0110 - val_mse: 9.6069
Epoch 271/1000
1s - loss: 0.0071 - mse: 6.1956 - val_loss: 0.0110 - val_mse: 9.6049
Epoch 272/1000
1s - loss: 0.0071 - mse: 6.1907 - val_loss: 0.0110 - val_mse: 9.6029
Epoch 273/1000

Epoch 00272: reducing learning rate to 0.000823543069419.
1s - loss: 0.0071 - mse: 6.1859 - val_loss: 0.0110 - val_mse: 9.6009
Epoch 274/1000
1s - loss: 0.0071 - mse: 6.1810 - val_loss: 0.0110 - val_mse: 9.5995
Epoch 275/1000
1s - loss: 0.0071 - mse: 6.1777 - val_loss: 0.0110 - val_mse: 9.5982
Epoch 276/1000
1s - loss: 0.0071 - mse: 6.1743 - val_loss: 0.0110 - val_mse: 9.5969
Epoch 277/1000
1s - loss: 0.0071 - mse: 6.1710 - val_loss: 0.0110 - val_mse: 9.5955
Epoch 278/1000
1s - loss: 0.0071 - mse: 6.1676 - val_loss: 0.0110 - val_mse: 9.5942
Epoch 279/1000
1s - loss: 0.0071 - mse: 6.1643 - val_loss: 0.0110 - val_mse: 9.5928
Epoch 280/1000
1s - loss: 0.0071 - mse: 6.1609 - val_loss: 0.0110 - val_mse: 9.5915
Epoch 281/1000
1s - loss: 0.0071 - mse: 6.1576 - val_loss: 0.0110 - val_mse: 9.5902
Epoch 282/1000
1s - loss: 0.0071 - mse: 6.1543 - val_loss: 0.0110 - val_mse: 9.5889
Epoch 283/1000
1s - loss: 0.0071 - mse: 6.1509 - val_loss: 0.0110 - val_mse: 9.5874
Epoch 284/1000
1s - loss: 0.0071 - mse: 6.1476 - val_loss: 0.0110 - val_mse: 9.5859
Epoch 285/1000
1s - loss: 0.0071 - mse: 6.1442 - val_loss: 0.0110 - val_mse: 9.5842
Epoch 286/1000
1s - loss: 0.0071 - mse: 6.1409 - val_loss: 0.0110 - val_mse: 9.5825
Epoch 287/1000

Epoch 00286: reducing learning rate to 0.000576480140444.
1s - loss: 0.0070 - mse: 6.1375 - val_loss: 0.0110 - val_mse: 9.5807
Epoch 288/1000
1s - loss: 0.0070 - mse: 6.1342 - val_loss: 0.0110 - val_mse: 9.5795
Epoch 289/1000
1s - loss: 0.0070 - mse: 6.1319 - val_loss: 0.0110 - val_mse: 9.5784
Epoch 290/1000
1s - loss: 0.0070 - mse: 6.1295 - val_loss: 0.0110 - val_mse: 9.5774
Epoch 291/1000
1s - loss: 0.0070 - mse: 6.1272 - val_loss: 0.0110 - val_mse: 9.5764
Epoch 292/1000
1s - loss: 0.0070 - mse: 6.1249 - val_loss: 0.0110 - val_mse: 9.5755
Epoch 293/1000
1s - loss: 0.0070 - mse: 6.1226 - val_loss: 0.0110 - val_mse: 9.5745
Epoch 294/1000
1s - loss: 0.0070 - mse: 6.1202 - val_loss: 0.0110 - val_mse: 9.5736
Epoch 295/1000
1s - loss: 0.0070 - mse: 6.1179 - val_loss: 0.0110 - val_mse: 9.5727
Epoch 296/1000
1s - loss: 0.0070 - mse: 6.1156 - val_loss: 0.0110 - val_mse: 9.5718
Epoch 297/1000
1s - loss: 0.0070 - mse: 6.1133 - val_loss: 0.0110 - val_mse: 9.5710
Epoch 298/1000
1s - loss: 0.0070 - mse: 6.1110 - val_loss: 0.0110 - val_mse: 9.5700
Epoch 299/1000
1s - loss: 0.0070 - mse: 6.1086 - val_loss: 0.0110 - val_mse: 9.5690
Epoch 300/1000
1s - loss: 0.0070 - mse: 6.1063 - val_loss: 0.0110 - val_mse: 9.5679
Epoch 301/1000

Epoch 00300: reducing learning rate to 0.000403536082013.
1s - loss: 0.0070 - mse: 6.1040 - val_loss: 0.0110 - val_mse: 9.5668
Epoch 302/1000
1s - loss: 0.0070 - mse: 6.1017 - val_loss: 0.0110 - val_mse: 9.5660
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_32 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_33 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_18 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
1s - loss: 0.0130 - mse: 11.3188 - val_loss: 1.6522 - val_mse: 1438.8083
Epoch 2/1000
1s - loss: 1.5405 - mse: 1341.5188 - val_loss: 0.3892 - val_mse: 338.8870
Epoch 3/1000
1s - loss: 0.3898 - mse: 339.4636 - val_loss: 0.3059 - val_mse: 266.4151
Epoch 4/1000
1s - loss: 0.2760 - mse: 240.3912 - val_loss: 0.2583 - val_mse: 224.9667
Epoch 5/1000
1s - loss: 0.2478 - mse: 215.7588 - val_loss: 0.2123 - val_mse: 184.8978
Epoch 6/1000
1s - loss: 0.2034 - mse: 177.0938 - val_loss: 0.1894 - val_mse: 164.9477
Epoch 7/1000
1s - loss: 0.1796 - mse: 156.3925 - val_loss: 0.1701 - val_mse: 148.1096
Epoch 8/1000
1s - loss: 0.1638 - mse: 142.6672 - val_loss: 0.1500 - val_mse: 130.5898
Epoch 9/1000
1s - loss: 0.1429 - mse: 124.4588 - val_loss: 0.1143 - val_mse: 99.5282
Epoch 10/1000
1s - loss: 0.1176 - mse: 102.4143 - val_loss: 0.1044 - val_mse: 90.9178
Epoch 11/1000
1s - loss: 0.1034 - mse: 90.0794 - val_loss: 0.0958 - val_mse: 83.4513
Epoch 12/1000
1s - loss: 0.0969 - mse: 84.3532 - val_loss: 0.0961 - val_mse: 83.7203
Epoch 13/1000
1s - loss: 0.0983 - mse: 85.5954 - val_loss: 0.0804 - val_mse: 70.0301
Epoch 14/1000
1s - loss: 0.0738 - mse: 64.2771 - val_loss: 0.0951 - val_mse: 82.8295
Epoch 15/1000
1s - loss: 0.0936 - mse: 81.5533 - val_loss: 0.0718 - val_mse: 62.4914
Epoch 16/1000
1s - loss: 0.0668 - mse: 58.1810 - val_loss: 0.0593 - val_mse: 51.6495
Epoch 17/1000
1s - loss: 0.0551 - mse: 47.9855 - val_loss: 0.0832 - val_mse: 72.4181
Epoch 18/1000
1s - loss: 0.0656 - mse: 57.1345 - val_loss: 0.0685 - val_mse: 59.6674
Epoch 19/1000
1s - loss: 0.0665 - mse: 57.8707 - val_loss: 0.0628 - val_mse: 54.6707
Epoch 20/1000
1s - loss: 0.0608 - mse: 52.9495 - val_loss: 0.0742 - val_mse: 64.6180
Epoch 21/1000

Epoch 00020: reducing learning rate to 0.00699999984354.
2s - loss: 0.0649 - mse: 56.5427 - val_loss: 0.0596 - val_mse: 51.8981
Epoch 22/1000
1s - loss: 0.0609 - mse: 53.0595 - val_loss: 0.0527 - val_mse: 45.8678
Epoch 23/1000
1s - loss: 0.0460 - mse: 40.0229 - val_loss: 0.0462 - val_mse: 40.2645
Epoch 24/1000
1s - loss: 0.0445 - mse: 38.7643 - val_loss: 0.0426 - val_mse: 37.1081
Epoch 25/1000
1s - loss: 0.0412 - mse: 35.9198 - val_loss: 0.0412 - val_mse: 35.8451
Epoch 26/1000
1s - loss: 0.0390 - mse: 33.9715 - val_loss: 0.0432 - val_mse: 37.5970
Epoch 27/1000
1s - loss: 0.0397 - mse: 34.5847 - val_loss: 0.0464 - val_mse: 40.4346
Epoch 28/1000
1s - loss: 0.0458 - mse: 39.8410 - val_loss: 0.0441 - val_mse: 38.4347
Epoch 29/1000
1s - loss: 0.0378 - mse: 32.9001 - val_loss: 0.0383 - val_mse: 33.3354
Epoch 30/1000
1s - loss: 0.0347 - mse: 30.1976 - val_loss: 0.0358 - val_mse: 31.1582
Epoch 31/1000
1s - loss: 0.0328 - mse: 28.5428 - val_loss: 0.0348 - val_mse: 30.3170
Epoch 32/1000
1s - loss: 0.0325 - mse: 28.3133 - val_loss: 0.0331 - val_mse: 28.8422
Epoch 33/1000
1s - loss: 0.0381 - mse: 33.1873 - val_loss: 0.0301 - val_mse: 26.2470
Epoch 34/1000
1s - loss: 0.0299 - mse: 26.0718 - val_loss: 0.0295 - val_mse: 25.6688
Epoch 35/1000
1s - loss: 0.0288 - mse: 25.1231 - val_loss: 0.0289 - val_mse: 25.1589
Epoch 36/1000
1s - loss: 0.0292 - mse: 25.4515 - val_loss: 0.0280 - val_mse: 24.3879
Epoch 37/1000
1s - loss: 0.0263 - mse: 22.8617 - val_loss: 0.0280 - val_mse: 24.3926
Epoch 38/1000
1s - loss: 0.0257 - mse: 22.4186 - val_loss: 0.0275 - val_mse: 23.9910
Epoch 39/1000
1s - loss: 0.0279 - mse: 24.2905 - val_loss: 0.0265 - val_mse: 23.1127
Epoch 40/1000
1s - loss: 0.0279 - mse: 24.2856 - val_loss: 0.0287 - val_mse: 24.9992
Epoch 41/1000
1s - loss: 0.0294 - mse: 25.6152 - val_loss: 0.0280 - val_mse: 24.4231
Epoch 42/1000
1s - loss: 0.0264 - mse: 23.0030 - val_loss: 0.0271 - val_mse: 23.6000
Epoch 43/1000
1s - loss: 0.0263 - mse: 22.9259 - val_loss: 0.0262 - val_mse: 22.8119
Epoch 44/1000
1s - loss: 0.0240 - mse: 20.9092 - val_loss: 0.0244 - val_mse: 21.2381
Epoch 45/1000
1s - loss: 0.0215 - mse: 18.7063 - val_loss: 0.0243 - val_mse: 21.1857
Epoch 46/1000
1s - loss: 0.0233 - mse: 20.2766 - val_loss: 0.0239 - val_mse: 20.8094
Epoch 47/1000
1s - loss: 0.0216 - mse: 18.8167 - val_loss: 0.0235 - val_mse: 20.4595
Epoch 48/1000
1s - loss: 0.0212 - mse: 18.4345 - val_loss: 0.0232 - val_mse: 20.1665
Epoch 49/1000
1s - loss: 0.0212 - mse: 18.4936 - val_loss: 0.0233 - val_mse: 20.2502
Epoch 50/1000
1s - loss: 0.0220 - mse: 19.1437 - val_loss: 0.0231 - val_mse: 20.1008
Epoch 51/1000
1s - loss: 0.0225 - mse: 19.6325 - val_loss: 0.0218 - val_mse: 19.0260
Epoch 52/1000
1s - loss: 0.0231 - mse: 20.1418 - val_loss: 0.0275 - val_mse: 23.9586
Epoch 53/1000
1s - loss: 0.0213 - mse: 18.5554 - val_loss: 0.0341 - val_mse: 29.7009
Epoch 54/1000
1s - loss: 0.0281 - mse: 24.4835 - val_loss: 0.0289 - val_mse: 25.1351
Epoch 55/1000
1s - loss: 0.0322 - mse: 28.0203 - val_loss: 0.0220 - val_mse: 19.1580
Epoch 56/1000

Epoch 00055: reducing learning rate to 0.00489999982528.
1s - loss: 0.0215 - mse: 18.7319 - val_loss: 0.0316 - val_mse: 27.5592
Epoch 57/1000
1s - loss: 0.0256 - mse: 22.3336 - val_loss: 0.0352 - val_mse: 30.6689
Epoch 58/1000
1s - loss: 0.0288 - mse: 25.1009 - val_loss: 0.0302 - val_mse: 26.2991
Epoch 59/1000
1s - loss: 0.0334 - mse: 29.0623 - val_loss: 0.0247 - val_mse: 21.5209
Epoch 60/1000
1s - loss: 0.0266 - mse: 23.1455 - val_loss: 0.0271 - val_mse: 23.6389
Epoch 61/1000
1s - loss: 0.0219 - mse: 19.1003 - val_loss: 0.0307 - val_mse: 26.7575
Epoch 62/1000
1s - loss: 0.0294 - mse: 25.6306 - val_loss: 0.0267 - val_mse: 23.2257
Epoch 63/1000
1s - loss: 0.0226 - mse: 19.7071 - val_loss: 0.0216 - val_mse: 18.8433
Epoch 64/1000
1s - loss: 0.0208 - mse: 18.1445 - val_loss: 0.0223 - val_mse: 19.4456
Epoch 65/1000
1s - loss: 0.0215 - mse: 18.7214 - val_loss: 0.0293 - val_mse: 25.5180
Epoch 66/1000
1s - loss: 0.0328 - mse: 28.5405 - val_loss: 0.0292 - val_mse: 25.4537
Epoch 67/1000
1s - loss: 0.0246 - mse: 21.4318 - val_loss: 0.0234 - val_mse: 20.3566
Epoch 68/1000
1s - loss: 0.0215 - mse: 18.7307 - val_loss: 0.0182 - val_mse: 15.8080
Epoch 69/1000
1s - loss: 0.0161 - mse: 14.0191 - val_loss: 0.0187 - val_mse: 16.3163
Epoch 70/1000
1s - loss: 0.0175 - mse: 15.2093 - val_loss: 0.0224 - val_mse: 19.4638
Epoch 71/1000
1s - loss: 0.0245 - mse: 21.3328 - val_loss: 0.0268 - val_mse: 23.3291
Epoch 72/1000
1s - loss: 0.0256 - mse: 22.2732 - val_loss: 0.0253 - val_mse: 22.0025
Epoch 73/1000

Epoch 00072: reducing learning rate to 0.00343000004068.
1s - loss: 0.0240 - mse: 20.9118 - val_loss: 0.0204 - val_mse: 17.7411
Epoch 74/1000
1s - loss: 0.0177 - mse: 15.4239 - val_loss: 0.0181 - val_mse: 15.7805
Epoch 75/1000
1s - loss: 0.0198 - mse: 17.2373 - val_loss: 0.0177 - val_mse: 15.4142
Epoch 76/1000
1s - loss: 0.0171 - mse: 14.9034 - val_loss: 0.0194 - val_mse: 16.8711
Epoch 77/1000
1s - loss: 0.0189 - mse: 16.4841 - val_loss: 0.0214 - val_mse: 18.5970
Epoch 78/1000
1s - loss: 0.0193 - mse: 16.8100 - val_loss: 0.0219 - val_mse: 19.0484
Epoch 79/1000
1s - loss: 0.0170 - mse: 14.8154 - val_loss: 0.0211 - val_mse: 18.3733
Epoch 80/1000
1s - loss: 0.0190 - mse: 16.5531 - val_loss: 0.0198 - val_mse: 17.2402
Epoch 81/1000
1s - loss: 0.0217 - mse: 18.9148 - val_loss: 0.0178 - val_mse: 15.4602
Epoch 82/1000
1s - loss: 0.0156 - mse: 13.5628 - val_loss: 0.0174 - val_mse: 15.1212
Epoch 83/1000
1s - loss: 0.0193 - mse: 16.7809 - val_loss: 0.0178 - val_mse: 15.4640
Epoch 84/1000
1s - loss: 0.0160 - mse: 13.9278 - val_loss: 0.0190 - val_mse: 16.5056
Epoch 85/1000
1s - loss: 0.0209 - mse: 18.1806 - val_loss: 0.0191 - val_mse: 16.6482
Epoch 86/1000
1s - loss: 0.0218 - mse: 18.9802 - val_loss: 0.0180 - val_mse: 15.7133
Epoch 87/1000
1s - loss: 0.0175 - mse: 15.2123 - val_loss: 0.0172 - val_mse: 14.9917
Epoch 88/1000
1s - loss: 0.0164 - mse: 14.2464 - val_loss: 0.0174 - val_mse: 15.1913
Epoch 89/1000
1s - loss: 0.0153 - mse: 13.3325 - val_loss: 0.0187 - val_mse: 16.3008
Epoch 90/1000
1s - loss: 0.0201 - mse: 17.5256 - val_loss: 0.0186 - val_mse: 16.1842
Epoch 91/1000
1s - loss: 0.0174 - mse: 15.1404 - val_loss: 0.0176 - val_mse: 15.3698
Epoch 92/1000
1s - loss: 0.0176 - mse: 15.3628 - val_loss: 0.0163 - val_mse: 14.1973
Epoch 93/1000
1s - loss: 0.0164 - mse: 14.2512 - val_loss: 0.0160 - val_mse: 13.9369
Epoch 94/1000
1s - loss: 0.0151 - mse: 13.1535 - val_loss: 0.0164 - val_mse: 14.3180
Epoch 95/1000
1s - loss: 0.0173 - mse: 15.0249 - val_loss: 0.0180 - val_mse: 15.6536
Epoch 96/1000
1s - loss: 0.0218 - mse: 18.9671 - val_loss: 0.0178 - val_mse: 15.4672
Epoch 97/1000
1s - loss: 0.0166 - mse: 14.4448 - val_loss: 0.0176 - val_mse: 15.3342
Epoch 98/1000

Epoch 00097: reducing learning rate to 0.00240100002848.
1s - loss: 0.0148 - mse: 12.8950 - val_loss: 0.0170 - val_mse: 14.7678
Epoch 99/1000
1s - loss: 0.0183 - mse: 15.9333 - val_loss: 0.0161 - val_mse: 13.9841
Epoch 100/1000
1s - loss: 0.0170 - mse: 14.7751 - val_loss: 0.0157 - val_mse: 13.6576
Epoch 101/1000
1s - loss: 0.0147 - mse: 12.7764 - val_loss: 0.0155 - val_mse: 13.5147
Epoch 102/1000
1s - loss: 0.0165 - mse: 14.3363 - val_loss: 0.0156 - val_mse: 13.5439
Epoch 103/1000
1s - loss: 0.0145 - mse: 12.6671 - val_loss: 0.0160 - val_mse: 13.9555
Epoch 104/1000
1s - loss: 0.0211 - mse: 18.3824 - val_loss: 0.0159 - val_mse: 13.8473
Epoch 105/1000
1s - loss: 0.0168 - mse: 14.6471 - val_loss: 0.0153 - val_mse: 13.3529
Epoch 106/1000
1s - loss: 0.0134 - mse: 11.6496 - val_loss: 0.0150 - val_mse: 13.0950
Epoch 107/1000
1s - loss: 0.0163 - mse: 14.2341 - val_loss: 0.0151 - val_mse: 13.1367
Epoch 108/1000
1s - loss: 0.0141 - mse: 12.3191 - val_loss: 0.0152 - val_mse: 13.2091
Epoch 109/1000
1s - loss: 0.0149 - mse: 12.9442 - val_loss: 0.0151 - val_mse: 13.1417
Epoch 110/1000
1s - loss: 0.0155 - mse: 13.4802 - val_loss: 0.0150 - val_mse: 13.0301
Epoch 111/1000
1s - loss: 0.0163 - mse: 14.1560 - val_loss: 0.0149 - val_mse: 13.0037
Epoch 112/1000
1s - loss: 0.0140 - mse: 12.1837 - val_loss: 0.0150 - val_mse: 13.0388
Epoch 113/1000
1s - loss: 0.0145 - mse: 12.5905 - val_loss: 0.0150 - val_mse: 13.1032
Epoch 114/1000
1s - loss: 0.0147 - mse: 12.8345 - val_loss: 0.0153 - val_mse: 13.3543
Epoch 115/1000
1s - loss: 0.0156 - mse: 13.6093 - val_loss: 0.0160 - val_mse: 13.9171
Epoch 116/1000

Epoch 00115: reducing learning rate to 0.00168070008513.
1s - loss: 0.0151 - mse: 13.1279 - val_loss: 0.0164 - val_mse: 14.3094
Epoch 117/1000
1s - loss: 0.0133 - mse: 11.5934 - val_loss: 0.0165 - val_mse: 14.3778
Epoch 118/1000
1s - loss: 0.0146 - mse: 12.6885 - val_loss: 0.0164 - val_mse: 14.2537
Epoch 119/1000
1s - loss: 0.0138 - mse: 11.9906 - val_loss: 0.0161 - val_mse: 14.0086
Epoch 120/1000
1s - loss: 0.0160 - mse: 13.9139 - val_loss: 0.0154 - val_mse: 13.4164
Epoch 121/1000
1s - loss: 0.0137 - mse: 11.9088 - val_loss: 0.0148 - val_mse: 12.9302
Epoch 122/1000
1s - loss: 0.0137 - mse: 11.9298 - val_loss: 0.0144 - val_mse: 12.5563
Epoch 123/1000
1s - loss: 0.0148 - mse: 12.8753 - val_loss: 0.0141 - val_mse: 12.3044
Epoch 124/1000
1s - loss: 0.0128 - mse: 11.1668 - val_loss: 0.0142 - val_mse: 12.3423
Epoch 125/1000
1s - loss: 0.0144 - mse: 12.5222 - val_loss: 0.0142 - val_mse: 12.3884
Epoch 126/1000
1s - loss: 0.0152 - mse: 13.2599 - val_loss: 0.0141 - val_mse: 12.2924
Epoch 127/1000
1s - loss: 0.0139 - mse: 12.1244 - val_loss: 0.0140 - val_mse: 12.1858
Epoch 128/1000
1s - loss: 0.0152 - mse: 13.2130 - val_loss: 0.0139 - val_mse: 12.0668
Epoch 129/1000
1s - loss: 0.0130 - mse: 11.3597 - val_loss: 0.0139 - val_mse: 12.0964
Epoch 130/1000
1s - loss: 0.0141 - mse: 12.2511 - val_loss: 0.0141 - val_mse: 12.3044
Epoch 131/1000
1s - loss: 0.0155 - mse: 13.5237 - val_loss: 0.0143 - val_mse: 12.4250
Epoch 132/1000
1s - loss: 0.0178 - mse: 15.5210 - val_loss: 0.0143 - val_mse: 12.4514
Epoch 133/1000

Epoch 00132: reducing learning rate to 0.00117649007589.
1s - loss: 0.0149 - mse: 12.9521 - val_loss: 0.0143 - val_mse: 12.4758
Epoch 134/1000
1s - loss: 0.0158 - mse: 13.7478 - val_loss: 0.0144 - val_mse: 12.5185
Epoch 135/1000
1s - loss: 0.0148 - mse: 12.8559 - val_loss: 0.0145 - val_mse: 12.6348
Epoch 136/1000
1s - loss: 0.0165 - mse: 14.3778 - val_loss: 0.0148 - val_mse: 12.8908
Epoch 137/1000
1s - loss: 0.0127 - mse: 11.0657 - val_loss: 0.0151 - val_mse: 13.1617
Epoch 138/1000
1s - loss: 0.0182 - mse: 15.8680 - val_loss: 0.0150 - val_mse: 13.0642
Epoch 139/1000
1s - loss: 0.0145 - mse: 12.6040 - val_loss: 0.0147 - val_mse: 12.7652
Epoch 140/1000
1s - loss: 0.0160 - mse: 13.9720 - val_loss: 0.0142 - val_mse: 12.3873
Epoch 141/1000
1s - loss: 0.0150 - mse: 13.0530 - val_loss: 0.0139 - val_mse: 12.1024
Epoch 142/1000
1s - loss: 0.0127 - mse: 11.0316 - val_loss: 0.0138 - val_mse: 12.0460
Epoch 143/1000
1s - loss: 0.0135 - mse: 11.7482 - val_loss: 0.0139 - val_mse: 12.1417
Epoch 144/1000
1s - loss: 0.0144 - mse: 12.5451 - val_loss: 0.0141 - val_mse: 12.2617
Epoch 145/1000
1s - loss: 0.0181 - mse: 15.7414 - val_loss: 0.0140 - val_mse: 12.2347
Epoch 146/1000
1s - loss: 0.0142 - mse: 12.3655 - val_loss: 0.0139 - val_mse: 12.1403
Epoch 147/1000

Epoch 00146: reducing learning rate to 0.000823543069419.
1s - loss: 0.0145 - mse: 12.6336 - val_loss: 0.0138 - val_mse: 12.0195
Epoch 148/1000
1s - loss: 0.0191 - mse: 16.6431 - val_loss: 0.0137 - val_mse: 11.9658
Epoch 149/1000
1s - loss: 0.0139 - mse: 12.0723 - val_loss: 0.0137 - val_mse: 11.9631
Epoch 150/1000
1s - loss: 0.0148 - mse: 12.8777 - val_loss: 0.0137 - val_mse: 11.9659
Epoch 151/1000
1s - loss: 0.0125 - mse: 10.8962 - val_loss: 0.0138 - val_mse: 12.0037
Epoch 152/1000
1s - loss: 0.0151 - mse: 13.1258 - val_loss: 0.0137 - val_mse: 11.9700
Epoch 153/1000
1s - loss: 0.0144 - mse: 12.5596 - val_loss: 0.0138 - val_mse: 12.0140
Epoch 154/1000
1s - loss: 0.0173 - mse: 15.0239 - val_loss: 0.0139 - val_mse: 12.0955
Epoch 155/1000
1s - loss: 0.0162 - mse: 14.0749 - val_loss: 0.0139 - val_mse: 12.0627
Epoch 156/1000
1s - loss: 0.0153 - mse: 13.3171 - val_loss: 0.0137 - val_mse: 11.9607
Epoch 157/1000
1s - loss: 0.0128 - mse: 11.1609 - val_loss: 0.0137 - val_mse: 11.9310
Epoch 158/1000
1s - loss: 0.0156 - mse: 13.6070 - val_loss: 0.0136 - val_mse: 11.8816
Epoch 159/1000
1s - loss: 0.0154 - mse: 13.4217 - val_loss: 0.0137 - val_mse: 11.9403
Epoch 160/1000
1s - loss: 0.0133 - mse: 11.6021 - val_loss: 0.0137 - val_mse: 11.9740
Epoch 161/1000

Epoch 00160: reducing learning rate to 0.000576480140444.
1s - loss: 0.0239 - mse: 20.7887 - val_loss: 0.0138 - val_mse: 11.9805
Epoch 162/1000
1s - loss: 0.0164 - mse: 14.3232 - val_loss: 0.0137 - val_mse: 11.9615
Epoch 163/1000
1s - loss: 0.0131 - mse: 11.4019 - val_loss: 0.0137 - val_mse: 11.8955
Epoch 164/1000
1s - loss: 0.0142 - mse: 12.3662 - val_loss: 0.0136 - val_mse: 11.8182
Epoch 165/1000
1s - loss: 0.0128 - mse: 11.1467 - val_loss: 0.0135 - val_mse: 11.7397
Epoch 166/1000
1s - loss: 0.0123 - mse: 10.7224 - val_loss: 0.0134 - val_mse: 11.6699
Epoch 167/1000
1s - loss: 0.0146 - mse: 12.7011 - val_loss: 0.0134 - val_mse: 11.6275
Epoch 168/1000
1s - loss: 0.0116 - mse: 10.1102 - val_loss: 0.0133 - val_mse: 11.6019
Epoch 169/1000
1s - loss: 0.0126 - mse: 10.9574 - val_loss: 0.0133 - val_mse: 11.5933
Epoch 170/1000
1s - loss: 0.0123 - mse: 10.7112 - val_loss: 0.0133 - val_mse: 11.5784
Epoch 171/1000
1s - loss: 0.0124 - mse: 10.7855 - val_loss: 0.0133 - val_mse: 11.5735
Epoch 172/1000
1s - loss: 0.0142 - mse: 12.3851 - val_loss: 0.0133 - val_mse: 11.5688
Epoch 173/1000
1s - loss: 0.0152 - mse: 13.2414 - val_loss: 0.0132 - val_mse: 11.5377
Epoch 174/1000
1s - loss: 0.0169 - mse: 14.6929 - val_loss: 0.0132 - val_mse: 11.4827
Epoch 175/1000
1s - loss: 0.0122 - mse: 10.6019 - val_loss: 0.0131 - val_mse: 11.4485
Epoch 176/1000
1s - loss: 0.0138 - mse: 12.0307 - val_loss: 0.0131 - val_mse: 11.4328
Epoch 177/1000
1s - loss: 0.0135 - mse: 11.7633 - val_loss: 0.0131 - val_mse: 11.4320
Epoch 178/1000
1s - loss: 0.0142 - mse: 12.3961 - val_loss: 0.0132 - val_mse: 11.4551
Epoch 179/1000

Epoch 00178: reducing learning rate to 0.000403536082013.
1s - loss: 0.0116 - mse: 10.0788 - val_loss: 0.0132 - val_mse: 11.4850
Epoch 180/1000
1s - loss: 0.0119 - mse: 10.3647 - val_loss: 0.0132 - val_mse: 11.5129
Epoch 181/1000
1s - loss: 0.0118 - mse: 10.2456 - val_loss: 0.0132 - val_mse: 11.5383
Epoch 182/1000
1s - loss: 0.0132 - mse: 11.4611 - val_loss: 0.0133 - val_mse: 11.5496
Epoch 183/1000
1s - loss: 0.0121 - mse: 10.5448 - val_loss: 0.0133 - val_mse: 11.5668
Epoch 184/1000
1s - loss: 0.0122 - mse: 10.6335 - val_loss: 0.0133 - val_mse: 11.5974
Epoch 185/1000
1s - loss: 0.0123 - mse: 10.7331 - val_loss: 0.0133 - val_mse: 11.6177
Epoch 186/1000
1s - loss: 0.0129 - mse: 11.2004 - val_loss: 0.0134 - val_mse: 11.6401
Epoch 187/1000
1s - loss: 0.0157 - mse: 13.6334 - val_loss: 0.0133 - val_mse: 11.6224
Epoch 188/1000
1s - loss: 0.0143 - mse: 12.4288 - val_loss: 0.0133 - val_mse: 11.5826
Epoch 189/1000
1s - loss: 0.0119 - mse: 10.3691 - val_loss: 0.0133 - val_mse: 11.5580
Epoch 190/1000
1s - loss: 0.0120 - mse: 10.4115 - val_loss: 0.0132 - val_mse: 11.5213
Epoch 191/1000
1s - loss: 0.0131 - mse: 11.4330 - val_loss: 0.0132 - val_mse: 11.4724
Epoch 192/1000
1s - loss: 0.0125 - mse: 10.9201 - val_loss: 0.0131 - val_mse: 11.4251
Epoch 193/1000
1s - loss: 0.0152 - mse: 13.2478 - val_loss: 0.0131 - val_mse: 11.3948
Epoch 194/1000
1s - loss: 0.0124 - mse: 10.7738 - val_loss: 0.0131 - val_mse: 11.3722
Epoch 195/1000
1s - loss: 0.0132 - mse: 11.4871 - val_loss: 0.0130 - val_mse: 11.3621
Epoch 196/1000
1s - loss: 0.0127 - mse: 11.0806 - val_loss: 0.0131 - val_mse: 11.3646
Epoch 197/1000
1s - loss: 0.0128 - mse: 11.1156 - val_loss: 0.0131 - val_mse: 11.3677
Epoch 198/1000

Epoch 00197: reducing learning rate to 0.000282475253334.
1s - loss: 0.0127 - mse: 11.0253 - val_loss: 0.0130 - val_mse: 11.3610
Epoch 199/1000
1s - loss: 0.0130 - mse: 11.3057 - val_loss: 0.0130 - val_mse: 11.3511
Epoch 200/1000
1s - loss: 0.0131 - mse: 11.4089 - val_loss: 0.0130 - val_mse: 11.3402
Epoch 201/1000
1s - loss: 0.0126 - mse: 10.9478 - val_loss: 0.0130 - val_mse: 11.3221
Epoch 202/1000
1s - loss: 0.0132 - mse: 11.5014 - val_loss: 0.0130 - val_mse: 11.3156
Epoch 203/1000
1s - loss: 0.0121 - mse: 10.5708 - val_loss: 0.0130 - val_mse: 11.3085
Epoch 204/1000
1s - loss: 0.0126 - mse: 10.9308 - val_loss: 0.0130 - val_mse: 11.3023
Epoch 205/1000
1s - loss: 0.0122 - mse: 10.5913 - val_loss: 0.0130 - val_mse: 11.2932
Epoch 206/1000
1s - loss: 0.0123 - mse: 10.7255 - val_loss: 0.0130 - val_mse: 11.2897
Epoch 207/1000
1s - loss: 0.0121 - mse: 10.5355 - val_loss: 0.0130 - val_mse: 11.2845
Epoch 208/1000
1s - loss: 0.0151 - mse: 13.1480 - val_loss: 0.0129 - val_mse: 11.2729
Epoch 209/1000
1s - loss: 0.0126 - mse: 10.9933 - val_loss: 0.0129 - val_mse: 11.2658
Epoch 210/1000
1s - loss: 0.0120 - mse: 10.4510 - val_loss: 0.0129 - val_mse: 11.2564
Epoch 211/1000
1s - loss: 0.0121 - mse: 10.5065 - val_loss: 0.0129 - val_mse: 11.2426
Epoch 212/1000

Epoch 00211: reducing learning rate to 0.000197732681409.
1s - loss: 0.0116 - mse: 10.1358 - val_loss: 0.0129 - val_mse: 11.2314
Epoch 213/1000
1s - loss: 0.0116 - mse: 10.1184 - val_loss: 0.0129 - val_mse: 11.2236
Epoch 214/1000
1s - loss: 0.0119 - mse: 10.3427 - val_loss: 0.0129 - val_mse: 11.2164
Epoch 215/1000
1s - loss: 0.0151 - mse: 13.1489 - val_loss: 0.0129 - val_mse: 11.2119
Epoch 216/1000
1s - loss: 0.0130 - mse: 11.3259 - val_loss: 0.0129 - val_mse: 11.2051
Epoch 217/1000
1s - loss: 0.0125 - mse: 10.9198 - val_loss: 0.0129 - val_mse: 11.1965
Epoch 218/1000
1s - loss: 0.0131 - mse: 11.4121 - val_loss: 0.0129 - val_mse: 11.1907
Epoch 219/1000
1s - loss: 0.0127 - mse: 11.0803 - val_loss: 0.0128 - val_mse: 11.1888
Epoch 220/1000
1s - loss: 0.0142 - mse: 12.3816 - val_loss: 0.0128 - val_mse: 11.1875
Epoch 221/1000
1s - loss: 0.0132 - mse: 11.5347 - val_loss: 0.0128 - val_mse: 11.1845
Epoch 222/1000
1s - loss: 0.0135 - mse: 11.7236 - val_loss: 0.0128 - val_mse: 11.1802
Epoch 223/1000
1s - loss: 0.0122 - mse: 10.6032 - val_loss: 0.0128 - val_mse: 11.1785
Epoch 224/1000
1s - loss: 0.0126 - mse: 10.9989 - val_loss: 0.0128 - val_mse: 11.1781
Epoch 225/1000
1s - loss: 0.0125 - mse: 10.9127 - val_loss: 0.0128 - val_mse: 11.1764
Epoch 226/1000

Epoch 00225: reducing learning rate to 0.000138412872911.
1s - loss: 0.0134 - mse: 11.7078 - val_loss: 0.0128 - val_mse: 11.1752
Epoch 227/1000
1s - loss: 0.0124 - mse: 10.7871 - val_loss: 0.0128 - val_mse: 11.1747
Epoch 228/1000
1s - loss: 0.0136 - mse: 11.8852 - val_loss: 0.0128 - val_mse: 11.1762
Epoch 229/1000
1s - loss: 0.0131 - mse: 11.3753 - val_loss: 0.0128 - val_mse: 11.1782
Epoch 230/1000
1s - loss: 0.0116 - mse: 10.0758 - val_loss: 0.0128 - val_mse: 11.1806
Epoch 231/1000
1s - loss: 0.0130 - mse: 11.2845 - val_loss: 0.0128 - val_mse: 11.1794
Epoch 232/1000
1s - loss: 0.0124 - mse: 10.7986 - val_loss: 0.0128 - val_mse: 11.1755
Epoch 233/1000
1s - loss: 0.0132 - mse: 11.4640 - val_loss: 0.0128 - val_mse: 11.1741
Epoch 234/1000
1s - loss: 0.0116 - mse: 10.1286 - val_loss: 0.0128 - val_mse: 11.1733
Epoch 235/1000
1s - loss: 0.0126 - mse: 10.9982 - val_loss: 0.0128 - val_mse: 11.1731
Epoch 236/1000
1s - loss: 0.0138 - mse: 12.0435 - val_loss: 0.0128 - val_mse: 11.1722
Epoch 237/1000
1s - loss: 0.0124 - mse: 10.8331 - val_loss: 0.0128 - val_mse: 11.1731
Epoch 238/1000
1s - loss: 0.0150 - mse: 13.0381 - val_loss: 0.0128 - val_mse: 11.1753
Epoch 239/1000
1s - loss: 0.0131 - mse: 11.3798 - val_loss: 0.0128 - val_mse: 11.1756
Epoch 240/1000

Epoch 00239: reducing learning rate to 9.68890090007e-05.
1s - loss: 0.0120 - mse: 10.4470 - val_loss: 0.0128 - val_mse: 11.1753
Epoch 241/1000
1s - loss: 0.0133 - mse: 11.5933 - val_loss: 0.0128 - val_mse: 11.1747
Epoch 242/1000
1s - loss: 0.0124 - mse: 10.7625 - val_loss: 0.0128 - val_mse: 11.1733
Epoch 243/1000
1s - loss: 0.0123 - mse: 10.6990 - val_loss: 0.0128 - val_mse: 11.1704
Epoch 244/1000
1s - loss: 0.0167 - mse: 14.5079 - val_loss: 0.0128 - val_mse: 11.1672
Epoch 245/1000
1s - loss: 0.0120 - mse: 10.4205 - val_loss: 0.0128 - val_mse: 11.1644
Epoch 246/1000
1s - loss: 0.0120 - mse: 10.4649 - val_loss: 0.0128 - val_mse: 11.1618
Epoch 247/1000
1s - loss: 0.0113 - mse: 9.8535 - val_loss: 0.0128 - val_mse: 11.1593
Epoch 248/1000
1s - loss: 0.0114 - mse: 9.9379 - val_loss: 0.0128 - val_mse: 11.1568
Epoch 249/1000
1s - loss: 0.0164 - mse: 14.2639 - val_loss: 0.0128 - val_mse: 11.1550
Epoch 250/1000
1s - loss: 0.0117 - mse: 10.1922 - val_loss: 0.0128 - val_mse: 11.1532
Epoch 251/1000
1s - loss: 0.0120 - mse: 10.4864 - val_loss: 0.0128 - val_mse: 11.1537
Epoch 252/1000
1s - loss: 0.0133 - mse: 11.5729 - val_loss: 0.0128 - val_mse: 11.1541
Epoch 253/1000
1s - loss: 0.0120 - mse: 10.4645 - val_loss: 0.0128 - val_mse: 11.1536
Epoch 254/1000

Epoch 00253: reducing learning rate to 6.78223063005e-05.
1s - loss: 0.0117 - mse: 10.1870 - val_loss: 0.0128 - val_mse: 11.1537
Epoch 255/1000
1s - loss: 0.0121 - mse: 10.5683 - val_loss: 0.0128 - val_mse: 11.1530
Epoch 256/1000
1s - loss: 0.0130 - mse: 11.3140 - val_loss: 0.0128 - val_mse: 11.1534
Epoch 257/1000
1s - loss: 0.0126 - mse: 10.9448 - val_loss: 0.0128 - val_mse: 11.1554
Epoch 258/1000
1s - loss: 0.0132 - mse: 11.4696 - val_loss: 0.0128 - val_mse: 11.1560
Epoch 259/1000
1s - loss: 0.0121 - mse: 10.5054 - val_loss: 0.0128 - val_mse: 11.1556
Epoch 260/1000
1s - loss: 0.0145 - mse: 12.5844 - val_loss: 0.0128 - val_mse: 11.1544
Epoch 261/1000
1s - loss: 0.0127 - mse: 11.0203 - val_loss: 0.0128 - val_mse: 11.1538
Epoch 262/1000
1s - loss: 0.0118 - mse: 10.2841 - val_loss: 0.0128 - val_mse: 11.1541
Epoch 263/1000
1s - loss: 0.0118 - mse: 10.3161 - val_loss: 0.0128 - val_mse: 11.1539
Epoch 264/1000
1s - loss: 0.0184 - mse: 16.0311 - val_loss: 0.0128 - val_mse: 11.1537
Epoch 265/1000
1s - loss: 0.0122 - mse: 10.6278 - val_loss: 0.0128 - val_mse: 11.1531
Epoch 266/1000
1s - loss: 0.0123 - mse: 10.6784 - val_loss: 0.0128 - val_mse: 11.1535
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}, {'loss': 0.012262199074029922, 'width0': 135, 'width1': 150, 'val_mse': 11.153453826904297, 'mse': 10.678401947021484, 'val_loss': 0.012807708233594894, 'dropout1': 0.10000000000000001, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_34 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_35 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_19 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.0144 - mse: 12.5246 - val_loss: 1.0793 - val_mse: 939.9023
Epoch 2/1000
1s - loss: 1.0006 - mse: 871.3946 - val_loss: 0.3035 - val_mse: 264.3270
Epoch 3/1000
1s - loss: 0.3426 - mse: 298.3321 - val_loss: 0.1632 - val_mse: 142.1244
Epoch 4/1000
1s - loss: 0.1977 - mse: 172.1987 - val_loss: 0.1186 - val_mse: 103.2402
Epoch 5/1000
1s - loss: 0.0925 - mse: 80.5232 - val_loss: 0.1061 - val_mse: 92.3955
Epoch 6/1000
1s - loss: 0.0909 - mse: 79.1767 - val_loss: 0.0880 - val_mse: 76.6512
Epoch 7/1000
1s - loss: 0.0881 - mse: 76.6901 - val_loss: 0.1146 - val_mse: 99.8258
Epoch 8/1000
1s - loss: 0.0860 - mse: 74.8730 - val_loss: 0.0916 - val_mse: 79.7539
Epoch 9/1000
1s - loss: 0.0731 - mse: 63.6198 - val_loss: 0.1000 - val_mse: 87.0613
Epoch 10/1000
1s - loss: 0.1203 - mse: 104.8007 - val_loss: 0.0706 - val_mse: 61.4846
Epoch 11/1000
1s - loss: 0.0631 - mse: 54.9430 - val_loss: 0.1017 - val_mse: 88.5589
Epoch 12/1000
1s - loss: 0.1080 - mse: 94.0670 - val_loss: 0.0818 - val_mse: 71.1994
Epoch 13/1000
1s - loss: 0.0840 - mse: 73.1072 - val_loss: 0.0592 - val_mse: 51.5861
Epoch 14/1000
1s - loss: 0.0592 - mse: 51.5310 - val_loss: 0.0814 - val_mse: 70.8858
Epoch 15/1000
1s - loss: 0.0864 - mse: 75.2651 - val_loss: 0.0781 - val_mse: 68.0169
Epoch 16/1000
1s - loss: 0.0750 - mse: 65.3496 - val_loss: 0.0551 - val_mse: 47.9686
Epoch 17/1000
1s - loss: 0.0350 - mse: 30.5005 - val_loss: 0.0522 - val_mse: 45.4235
Epoch 18/1000
1s - loss: 0.0664 - mse: 57.8097 - val_loss: 0.0506 - val_mse: 44.0460
Epoch 19/1000
1s - loss: 0.0546 - mse: 47.5496 - val_loss: 0.0513 - val_mse: 44.6783
Epoch 20/1000
1s - loss: 0.0525 - mse: 45.7034 - val_loss: 0.0447 - val_mse: 38.8908
Epoch 21/1000
1s - loss: 0.0495 - mse: 43.0665 - val_loss: 0.0351 - val_mse: 30.5257
Epoch 22/1000
1s - loss: 0.0380 - mse: 33.0908 - val_loss: 0.0477 - val_mse: 41.5531
Epoch 23/1000
1s - loss: 0.0493 - mse: 42.9265 - val_loss: 0.0658 - val_mse: 57.3161
Epoch 24/1000
1s - loss: 0.0488 - mse: 42.5110 - val_loss: 0.0616 - val_mse: 53.6815
Epoch 25/1000
1s - loss: 0.0796 - mse: 69.3373 - val_loss: 0.0384 - val_mse: 33.4398
Epoch 26/1000

Epoch 00025: reducing learning rate to 0.00699999984354.
2s - loss: 0.0449 - mse: 39.1166 - val_loss: 0.0486 - val_mse: 42.2951
Epoch 27/1000
1s - loss: 0.0414 - mse: 36.0118 - val_loss: 0.0603 - val_mse: 52.5320
Epoch 28/1000
1s - loss: 0.1012 - mse: 88.1185 - val_loss: 0.0574 - val_mse: 49.9594
Epoch 29/1000
1s - loss: 0.0616 - mse: 53.6148 - val_loss: 0.0515 - val_mse: 44.8184
Epoch 30/1000
1s - loss: 0.0694 - mse: 60.4051 - val_loss: 0.0517 - val_mse: 45.0329
Epoch 31/1000
1s - loss: 0.0571 - mse: 49.7483 - val_loss: 0.0618 - val_mse: 53.7873
Epoch 32/1000
1s - loss: 0.0515 - mse: 44.8357 - val_loss: 0.0705 - val_mse: 61.4315
Epoch 33/1000
1s - loss: 0.0398 - mse: 34.6993 - val_loss: 0.0707 - val_mse: 61.5708
Epoch 34/1000
1s - loss: 0.0744 - mse: 64.7708 - val_loss: 0.0541 - val_mse: 47.0951
Epoch 35/1000
1s - loss: 0.0475 - mse: 41.3549 - val_loss: 0.0413 - val_mse: 35.9421
Epoch 36/1000
1s - loss: 0.0551 - mse: 47.9822 - val_loss: 0.0410 - val_mse: 35.6683
Epoch 37/1000
1s - loss: 0.0375 - mse: 32.6156 - val_loss: 0.0525 - val_mse: 45.7366
Epoch 38/1000
1s - loss: 0.0280 - mse: 24.3603 - val_loss: 0.0672 - val_mse: 58.5368
Epoch 39/1000
1s - loss: 0.0578 - mse: 50.3528 - val_loss: 0.0689 - val_mse: 60.0106
Epoch 40/1000

Epoch 00039: reducing learning rate to 0.00489999982528.
1s - loss: 0.0571 - mse: 49.7076 - val_loss: 0.0570 - val_mse: 49.6425
Epoch 41/1000
1s - loss: 0.0525 - mse: 45.7309 - val_loss: 0.0453 - val_mse: 39.4186
Epoch 42/1000
1s - loss: 0.0350 - mse: 30.4482 - val_loss: 0.0341 - val_mse: 29.6929
Epoch 43/1000
1s - loss: 0.0378 - mse: 32.9278 - val_loss: 0.0274 - val_mse: 23.8477
Epoch 44/1000
1s - loss: 0.0400 - mse: 34.8430 - val_loss: 0.0279 - val_mse: 24.2727
Epoch 45/1000
1s - loss: 0.0397 - mse: 34.5393 - val_loss: 0.0332 - val_mse: 28.9071
Epoch 46/1000
1s - loss: 0.0303 - mse: 26.3580 - val_loss: 0.0451 - val_mse: 39.2554
Epoch 47/1000
1s - loss: 0.0348 - mse: 30.2898 - val_loss: 0.0526 - val_mse: 45.7920
Epoch 48/1000
1s - loss: 0.0605 - mse: 52.7216 - val_loss: 0.0490 - val_mse: 42.6304
Epoch 49/1000
1s - loss: 0.0727 - mse: 63.3239 - val_loss: 0.0353 - val_mse: 30.7346
Epoch 50/1000
1s - loss: 0.0226 - mse: 19.6468 - val_loss: 0.0272 - val_mse: 23.6710
Epoch 51/1000
1s - loss: 0.0331 - mse: 28.8482 - val_loss: 0.0239 - val_mse: 20.7937
Epoch 52/1000
1s - loss: 0.0288 - mse: 25.0825 - val_loss: 0.0264 - val_mse: 22.9643
Epoch 53/1000
1s - loss: 0.0239 - mse: 20.7697 - val_loss: 0.0323 - val_mse: 28.1629
Epoch 54/1000
1s - loss: 0.0394 - mse: 34.3199 - val_loss: 0.0364 - val_mse: 31.6980
Epoch 55/1000
1s - loss: 0.0257 - mse: 22.4172 - val_loss: 0.0386 - val_mse: 33.6506
Epoch 56/1000

Epoch 00055: reducing learning rate to 0.00343000004068.
1s - loss: 0.0360 - mse: 31.3720 - val_loss: 0.0368 - val_mse: 32.0354
Epoch 57/1000
1s - loss: 0.0371 - mse: 32.2906 - val_loss: 0.0334 - val_mse: 29.0642
Epoch 58/1000
1s - loss: 0.0254 - mse: 22.1567 - val_loss: 0.0297 - val_mse: 25.8897
Epoch 59/1000
1s - loss: 0.0276 - mse: 24.0626 - val_loss: 0.0259 - val_mse: 22.5807
Epoch 60/1000
1s - loss: 0.0208 - mse: 18.0932 - val_loss: 0.0233 - val_mse: 20.3061
Epoch 61/1000
1s - loss: 0.0270 - mse: 23.5155 - val_loss: 0.0217 - val_mse: 18.8891
Epoch 62/1000
1s - loss: 0.0201 - mse: 17.4971 - val_loss: 0.0216 - val_mse: 18.7969
Epoch 63/1000
1s - loss: 0.0221 - mse: 19.2375 - val_loss: 0.0226 - val_mse: 19.6703
Epoch 64/1000
1s - loss: 0.0242 - mse: 21.0603 - val_loss: 0.0241 - val_mse: 20.9925
Epoch 65/1000
1s - loss: 0.0282 - mse: 24.5539 - val_loss: 0.0259 - val_mse: 22.5775
Epoch 66/1000
1s - loss: 0.0230 - mse: 20.0683 - val_loss: 0.0292 - val_mse: 25.4181
Epoch 67/1000
1s - loss: 0.0282 - mse: 24.5328 - val_loss: 0.0312 - val_mse: 27.1657
Epoch 68/1000
1s - loss: 0.0449 - mse: 39.1367 - val_loss: 0.0299 - val_mse: 26.0358
Epoch 69/1000
1s - loss: 0.0367 - mse: 31.9237 - val_loss: 0.0270 - val_mse: 23.5167
Epoch 70/1000

Epoch 00069: reducing learning rate to 0.00240100002848.
1s - loss: 0.0229 - mse: 19.9791 - val_loss: 0.0242 - val_mse: 21.0866
Epoch 71/1000
1s - loss: 0.0295 - mse: 25.7177 - val_loss: 0.0223 - val_mse: 19.4003
Epoch 72/1000
1s - loss: 0.0252 - mse: 21.9682 - val_loss: 0.0210 - val_mse: 18.2539
Epoch 73/1000
1s - loss: 0.0214 - mse: 18.6406 - val_loss: 0.0208 - val_mse: 18.0932
Epoch 74/1000
1s - loss: 0.0200 - mse: 17.4101 - val_loss: 0.0215 - val_mse: 18.7021
Epoch 75/1000
1s - loss: 0.0415 - mse: 36.1585 - val_loss: 0.0219 - val_mse: 19.0715
Epoch 76/1000
1s - loss: 0.0243 - mse: 21.1432 - val_loss: 0.0220 - val_mse: 19.1546
Epoch 77/1000
1s - loss: 0.0229 - mse: 19.9651 - val_loss: 0.0218 - val_mse: 18.9510
Epoch 78/1000
1s - loss: 0.0238 - mse: 20.7535 - val_loss: 0.0216 - val_mse: 18.7871
Epoch 79/1000
1s - loss: 0.0186 - mse: 16.2037 - val_loss: 0.0213 - val_mse: 18.5337
Epoch 80/1000
1s - loss: 0.0180 - mse: 15.6346 - val_loss: 0.0210 - val_mse: 18.2717
Epoch 81/1000
1s - loss: 0.0259 - mse: 22.5160 - val_loss: 0.0204 - val_mse: 17.7372
Epoch 82/1000
1s - loss: 0.0253 - mse: 21.9959 - val_loss: 0.0198 - val_mse: 17.2399
Epoch 83/1000
1s - loss: 0.0207 - mse: 18.0074 - val_loss: 0.0196 - val_mse: 17.0768
Epoch 84/1000
1s - loss: 0.0276 - mse: 24.0746 - val_loss: 0.0193 - val_mse: 16.7871
Epoch 85/1000
1s - loss: 0.0185 - mse: 16.1449 - val_loss: 0.0191 - val_mse: 16.6430
Epoch 86/1000
1s - loss: 0.0205 - mse: 17.8477 - val_loss: 0.0190 - val_mse: 16.5345
Epoch 87/1000
1s - loss: 0.0217 - mse: 18.8579 - val_loss: 0.0189 - val_mse: 16.4449
Epoch 88/1000
1s - loss: 0.0482 - mse: 41.9784 - val_loss: 0.0188 - val_mse: 16.3551
Epoch 89/1000
1s - loss: 0.0175 - mse: 15.2647 - val_loss: 0.0189 - val_mse: 16.4448
Epoch 90/1000
1s - loss: 0.0206 - mse: 17.9538 - val_loss: 0.0192 - val_mse: 16.6821
Epoch 91/1000
1s - loss: 0.0197 - mse: 17.1690 - val_loss: 0.0193 - val_mse: 16.8031
Epoch 92/1000
1s - loss: 0.0194 - mse: 16.8618 - val_loss: 0.0195 - val_mse: 16.9728
Epoch 93/1000

Epoch 00092: reducing learning rate to 0.00168070008513.
1s - loss: 0.0223 - mse: 19.4207 - val_loss: 0.0194 - val_mse: 16.9017
Epoch 94/1000
1s - loss: 0.0247 - mse: 21.4728 - val_loss: 0.0194 - val_mse: 16.8923
Epoch 95/1000
1s - loss: 0.0174 - mse: 15.1130 - val_loss: 0.0193 - val_mse: 16.7975
Epoch 96/1000
1s - loss: 0.0191 - mse: 16.6006 - val_loss: 0.0191 - val_mse: 16.6242
Epoch 97/1000
1s - loss: 0.0182 - mse: 15.8506 - val_loss: 0.0188 - val_mse: 16.3897
Epoch 98/1000
1s - loss: 0.0207 - mse: 18.0128 - val_loss: 0.0185 - val_mse: 16.1374
Epoch 99/1000
1s - loss: 0.0290 - mse: 25.2710 - val_loss: 0.0184 - val_mse: 16.0271
Epoch 100/1000
1s - loss: 0.0361 - mse: 31.4096 - val_loss: 0.0180 - val_mse: 15.6868
Epoch 101/1000
1s - loss: 0.0198 - mse: 17.2034 - val_loss: 0.0177 - val_mse: 15.4432
Epoch 102/1000
1s - loss: 0.0212 - mse: 18.4459 - val_loss: 0.0176 - val_mse: 15.3295
Epoch 103/1000
1s - loss: 0.0199 - mse: 17.3020 - val_loss: 0.0178 - val_mse: 15.5052
Epoch 104/1000
1s - loss: 0.0159 - mse: 13.8361 - val_loss: 0.0183 - val_mse: 15.9667
Epoch 105/1000
1s - loss: 0.0178 - mse: 15.5133 - val_loss: 0.0189 - val_mse: 16.4652
Epoch 106/1000
1s - loss: 0.0336 - mse: 29.2307 - val_loss: 0.0192 - val_mse: 16.7407
Epoch 107/1000

Epoch 00106: reducing learning rate to 0.00117649007589.
1s - loss: 0.0575 - mse: 50.0808 - val_loss: 0.0188 - val_mse: 16.3578
Epoch 108/1000
1s - loss: 0.0350 - mse: 30.4653 - val_loss: 0.0182 - val_mse: 15.8663
Epoch 109/1000
1s - loss: 0.0184 - mse: 16.0653 - val_loss: 0.0177 - val_mse: 15.4247
Epoch 110/1000
1s - loss: 0.0183 - mse: 15.9481 - val_loss: 0.0174 - val_mse: 15.1290
Epoch 111/1000
1s - loss: 0.0221 - mse: 19.2239 - val_loss: 0.0171 - val_mse: 14.8923
Epoch 112/1000
1s - loss: 0.0191 - mse: 16.6464 - val_loss: 0.0170 - val_mse: 14.7998
Epoch 113/1000
1s - loss: 0.0152 - mse: 13.2626 - val_loss: 0.0170 - val_mse: 14.7758
Epoch 114/1000
1s - loss: 0.0202 - mse: 17.5899 - val_loss: 0.0170 - val_mse: 14.7868
Epoch 115/1000
1s - loss: 0.0195 - mse: 16.9383 - val_loss: 0.0170 - val_mse: 14.8377
Epoch 116/1000
1s - loss: 0.0197 - mse: 17.1817 - val_loss: 0.0171 - val_mse: 14.8607
Epoch 117/1000
1s - loss: 0.0181 - mse: 15.7958 - val_loss: 0.0171 - val_mse: 14.9130
Epoch 118/1000
1s - loss: 0.0213 - mse: 18.5907 - val_loss: 0.0173 - val_mse: 15.0253
Epoch 119/1000
1s - loss: 0.0269 - mse: 23.4335 - val_loss: 0.0173 - val_mse: 15.0427
Epoch 120/1000
1s - loss: 0.0191 - mse: 16.6091 - val_loss: 0.0172 - val_mse: 14.9921
Epoch 121/1000

Epoch 00120: reducing learning rate to 0.000823543069419.
1s - loss: 0.0192 - mse: 16.7038 - val_loss: 0.0171 - val_mse: 14.9067
Epoch 122/1000
1s - loss: 0.0175 - mse: 15.2232 - val_loss: 0.0171 - val_mse: 14.8660
Epoch 123/1000
1s - loss: 0.0287 - mse: 25.0085 - val_loss: 0.0170 - val_mse: 14.7995
Epoch 124/1000
1s - loss: 0.0221 - mse: 19.2574 - val_loss: 0.0169 - val_mse: 14.7540
Epoch 125/1000
1s - loss: 0.0162 - mse: 14.1121 - val_loss: 0.0169 - val_mse: 14.7259
Epoch 126/1000
1s - loss: 0.0170 - mse: 14.8049 - val_loss: 0.0169 - val_mse: 14.7111
Epoch 127/1000
1s - loss: 0.0178 - mse: 15.4861 - val_loss: 0.0169 - val_mse: 14.6888
Epoch 128/1000
1s - loss: 0.0159 - mse: 13.8871 - val_loss: 0.0168 - val_mse: 14.6626
Epoch 129/1000
1s - loss: 0.0217 - mse: 18.8996 - val_loss: 0.0168 - val_mse: 14.6184
Epoch 130/1000
1s - loss: 0.0177 - mse: 15.4120 - val_loss: 0.0168 - val_mse: 14.5992
Epoch 131/1000
1s - loss: 0.0143 - mse: 12.4948 - val_loss: 0.0167 - val_mse: 14.5845
Epoch 132/1000
1s - loss: 0.0162 - mse: 14.1260 - val_loss: 0.0167 - val_mse: 14.5650
Epoch 133/1000
1s - loss: 0.0163 - mse: 14.1894 - val_loss: 0.0167 - val_mse: 14.5634
Epoch 134/1000
1s - loss: 0.0207 - mse: 18.0400 - val_loss: 0.0167 - val_mse: 14.5402
Epoch 135/1000
1s - loss: 0.0165 - mse: 14.4064 - val_loss: 0.0167 - val_mse: 14.5247
Epoch 136/1000
1s - loss: 0.0152 - mse: 13.2513 - val_loss: 0.0167 - val_mse: 14.5222
Epoch 137/1000
1s - loss: 0.0185 - mse: 16.1275 - val_loss: 0.0167 - val_mse: 14.5188
Epoch 138/1000
1s - loss: 0.0203 - mse: 17.7032 - val_loss: 0.0167 - val_mse: 14.5228
Epoch 139/1000
1s - loss: 0.0166 - mse: 14.4137 - val_loss: 0.0167 - val_mse: 14.5135
Epoch 140/1000

Epoch 00139: reducing learning rate to 0.000576480140444.
1s - loss: 0.0202 - mse: 17.6069 - val_loss: 0.0167 - val_mse: 14.5320
Epoch 141/1000
1s - loss: 0.0156 - mse: 13.6010 - val_loss: 0.0167 - val_mse: 14.5343
Epoch 142/1000
1s - loss: 0.0170 - mse: 14.8478 - val_loss: 0.0167 - val_mse: 14.5418
Epoch 143/1000
1s - loss: 0.0171 - mse: 14.9332 - val_loss: 0.0167 - val_mse: 14.5671
Epoch 144/1000
1s - loss: 0.0173 - mse: 15.0906 - val_loss: 0.0167 - val_mse: 14.5790
Epoch 145/1000
1s - loss: 0.0162 - mse: 14.1079 - val_loss: 0.0168 - val_mse: 14.5907
Epoch 146/1000
1s - loss: 0.0192 - mse: 16.7433 - val_loss: 0.0168 - val_mse: 14.5886
Epoch 147/1000
1s - loss: 0.0166 - mse: 14.4650 - val_loss: 0.0168 - val_mse: 14.5908
Epoch 148/1000
1s - loss: 0.0166 - mse: 14.4780 - val_loss: 0.0168 - val_mse: 14.5950
Epoch 149/1000
1s - loss: 0.0159 - mse: 13.8735 - val_loss: 0.0168 - val_mse: 14.5894
Epoch 150/1000
1s - loss: 0.0166 - mse: 14.4555 - val_loss: 0.0168 - val_mse: 14.5966
Epoch 151/1000
1s - loss: 0.0152 - mse: 13.2386 - val_loss: 0.0168 - val_mse: 14.5877
Epoch 152/1000
1s - loss: 0.0182 - mse: 15.8853 - val_loss: 0.0167 - val_mse: 14.5519
Epoch 153/1000
1s - loss: 0.0174 - mse: 15.1827 - val_loss: 0.0167 - val_mse: 14.5128
Epoch 154/1000

Epoch 00153: reducing learning rate to 0.000403536082013.
1s - loss: 0.0210 - mse: 18.2834 - val_loss: 0.0166 - val_mse: 14.4549
Epoch 155/1000
1s - loss: 0.0170 - mse: 14.8200 - val_loss: 0.0166 - val_mse: 14.4167
Epoch 156/1000
1s - loss: 0.0176 - mse: 15.3185 - val_loss: 0.0165 - val_mse: 14.3757
Epoch 157/1000
1s - loss: 0.0165 - mse: 14.4085 - val_loss: 0.0165 - val_mse: 14.3400
Epoch 158/1000
1s - loss: 0.0202 - mse: 17.5508 - val_loss: 0.0164 - val_mse: 14.3239
Epoch 159/1000
1s - loss: 0.0142 - mse: 12.3304 - val_loss: 0.0164 - val_mse: 14.3139
Epoch 160/1000
1s - loss: 0.0177 - mse: 15.3722 - val_loss: 0.0164 - val_mse: 14.3116
Epoch 161/1000
1s - loss: 0.0175 - mse: 15.2181 - val_loss: 0.0164 - val_mse: 14.3027
Epoch 162/1000
1s - loss: 0.0224 - mse: 19.5131 - val_loss: 0.0164 - val_mse: 14.2767
Epoch 163/1000
1s - loss: 0.0153 - mse: 13.3665 - val_loss: 0.0164 - val_mse: 14.2549
Epoch 164/1000
1s - loss: 0.0165 - mse: 14.3963 - val_loss: 0.0163 - val_mse: 14.2335
Epoch 165/1000
1s - loss: 0.0240 - mse: 20.8899 - val_loss: 0.0163 - val_mse: 14.1991
Epoch 166/1000
1s - loss: 0.0156 - mse: 13.5445 - val_loss: 0.0163 - val_mse: 14.1656
Epoch 167/1000
1s - loss: 0.0175 - mse: 15.2729 - val_loss: 0.0162 - val_mse: 14.1354
Epoch 168/1000
1s - loss: 0.0185 - mse: 16.1012 - val_loss: 0.0162 - val_mse: 14.1114
Epoch 169/1000
1s - loss: 0.0154 - mse: 13.4355 - val_loss: 0.0162 - val_mse: 14.0932
Epoch 170/1000
1s - loss: 0.0214 - mse: 18.6669 - val_loss: 0.0162 - val_mse: 14.0779
Epoch 171/1000
1s - loss: 0.0210 - mse: 18.3182 - val_loss: 0.0162 - val_mse: 14.0657
Epoch 172/1000

Epoch 00171: reducing learning rate to 0.000282475253334.
1s - loss: 0.0233 - mse: 20.2562 - val_loss: 0.0161 - val_mse: 14.0620
Epoch 173/1000
1s - loss: 0.0232 - mse: 20.1701 - val_loss: 0.0162 - val_mse: 14.0681
Epoch 174/1000
1s - loss: 0.0170 - mse: 14.7961 - val_loss: 0.0162 - val_mse: 14.0750
Epoch 175/1000
1s - loss: 0.0174 - mse: 15.1823 - val_loss: 0.0162 - val_mse: 14.0797
Epoch 176/1000
1s - loss: 0.0145 - mse: 12.6124 - val_loss: 0.0162 - val_mse: 14.0859
Epoch 177/1000
1s - loss: 0.0173 - mse: 15.0879 - val_loss: 0.0162 - val_mse: 14.0906
Epoch 178/1000
1s - loss: 0.0190 - mse: 16.5242 - val_loss: 0.0162 - val_mse: 14.0993
Epoch 179/1000
1s - loss: 0.0175 - mse: 15.2332 - val_loss: 0.0162 - val_mse: 14.1094
Epoch 180/1000
1s - loss: 0.0147 - mse: 12.7659 - val_loss: 0.0162 - val_mse: 14.1155
Epoch 181/1000
1s - loss: 0.0166 - mse: 14.4846 - val_loss: 0.0162 - val_mse: 14.1263
Epoch 182/1000
1s - loss: 0.0207 - mse: 18.0396 - val_loss: 0.0162 - val_mse: 14.1247
Epoch 183/1000
1s - loss: 0.0145 - mse: 12.6503 - val_loss: 0.0162 - val_mse: 14.1226
Epoch 184/1000
1s - loss: 0.0231 - mse: 20.0819 - val_loss: 0.0162 - val_mse: 14.1071
Epoch 185/1000
1s - loss: 0.0156 - mse: 13.5953 - val_loss: 0.0162 - val_mse: 14.0867
Epoch 186/1000

Epoch 00185: reducing learning rate to 0.000197732681409.
1s - loss: 0.0162 - mse: 14.1086 - val_loss: 0.0162 - val_mse: 14.0693
Epoch 187/1000
1s - loss: 0.0164 - mse: 14.2609 - val_loss: 0.0161 - val_mse: 14.0621
Epoch 188/1000
1s - loss: 0.0156 - mse: 13.6231 - val_loss: 0.0161 - val_mse: 14.0555
Epoch 189/1000
1s - loss: 0.0161 - mse: 14.0474 - val_loss: 0.0161 - val_mse: 14.0504
Epoch 190/1000
1s - loss: 0.0150 - mse: 13.0490 - val_loss: 0.0161 - val_mse: 14.0462
Epoch 191/1000
1s - loss: 0.0168 - mse: 14.5960 - val_loss: 0.0161 - val_mse: 14.0366
Epoch 192/1000
1s - loss: 0.0174 - mse: 15.1295 - val_loss: 0.0161 - val_mse: 14.0251
Epoch 193/1000
1s - loss: 0.0154 - mse: 13.4266 - val_loss: 0.0161 - val_mse: 14.0165
Epoch 194/1000
1s - loss: 0.0148 - mse: 12.8464 - val_loss: 0.0161 - val_mse: 14.0075
Epoch 195/1000
1s - loss: 0.0138 - mse: 12.0157 - val_loss: 0.0161 - val_mse: 14.0009
Epoch 196/1000
1s - loss: 0.0178 - mse: 15.4924 - val_loss: 0.0161 - val_mse: 13.9894
Epoch 197/1000
1s - loss: 0.0365 - mse: 31.7775 - val_loss: 0.0161 - val_mse: 13.9814
Epoch 198/1000
1s - loss: 0.0193 - mse: 16.8115 - val_loss: 0.0160 - val_mse: 13.9674
Epoch 199/1000
1s - loss: 0.0189 - mse: 16.4555 - val_loss: 0.0160 - val_mse: 13.9582
Epoch 200/1000
1s - loss: 0.0175 - mse: 15.2601 - val_loss: 0.0160 - val_mse: 13.9496
Epoch 201/1000
1s - loss: 0.0174 - mse: 15.1219 - val_loss: 0.0160 - val_mse: 13.9421
Epoch 202/1000
1s - loss: 0.0263 - mse: 22.8782 - val_loss: 0.0160 - val_mse: 13.9360
Epoch 203/1000
1s - loss: 0.0167 - mse: 14.5582 - val_loss: 0.0160 - val_mse: 13.9273
Epoch 204/1000

Epoch 00203: reducing learning rate to 0.000138412872911.
1s - loss: 0.0195 - mse: 16.9577 - val_loss: 0.0160 - val_mse: 13.9205
Epoch 205/1000
1s - loss: 0.0153 - mse: 13.3198 - val_loss: 0.0160 - val_mse: 13.9162
Epoch 206/1000
1s - loss: 0.0326 - mse: 28.3758 - val_loss: 0.0160 - val_mse: 13.9145
Epoch 207/1000
1s - loss: 0.0176 - mse: 15.3682 - val_loss: 0.0160 - val_mse: 13.9135
Epoch 208/1000
1s - loss: 0.0197 - mse: 17.1529 - val_loss: 0.0160 - val_mse: 13.9096
Epoch 209/1000
1s - loss: 0.0160 - mse: 13.9574 - val_loss: 0.0160 - val_mse: 13.9051
Epoch 210/1000
1s - loss: 0.0160 - mse: 13.9414 - val_loss: 0.0160 - val_mse: 13.9024
Epoch 211/1000
1s - loss: 0.0172 - mse: 14.9726 - val_loss: 0.0160 - val_mse: 13.8982
Epoch 212/1000
1s - loss: 0.0157 - mse: 13.6691 - val_loss: 0.0160 - val_mse: 13.8923
Epoch 213/1000
1s - loss: 0.0173 - mse: 15.0351 - val_loss: 0.0159 - val_mse: 13.8883
Epoch 214/1000
1s - loss: 0.0150 - mse: 13.0405 - val_loss: 0.0159 - val_mse: 13.8837
Epoch 215/1000
1s - loss: 0.0147 - mse: 12.7762 - val_loss: 0.0159 - val_mse: 13.8802
Epoch 216/1000
1s - loss: 0.0215 - mse: 18.7487 - val_loss: 0.0159 - val_mse: 13.8734
Epoch 217/1000
1s - loss: 0.0151 - mse: 13.1131 - val_loss: 0.0159 - val_mse: 13.8681
Epoch 218/1000
1s - loss: 0.0141 - mse: 12.2422 - val_loss: 0.0159 - val_mse: 13.8640
Epoch 219/1000
1s - loss: 0.0158 - mse: 13.7556 - val_loss: 0.0159 - val_mse: 13.8591
Epoch 220/1000
1s - loss: 0.0165 - mse: 14.4011 - val_loss: 0.0159 - val_mse: 13.8536
Epoch 221/1000
1s - loss: 0.0170 - mse: 14.7836 - val_loss: 0.0159 - val_mse: 13.8483
Epoch 222/1000

Epoch 00221: reducing learning rate to 9.68890090007e-05.
1s - loss: 0.0338 - mse: 29.3978 - val_loss: 0.0159 - val_mse: 13.8444
Epoch 223/1000
1s - loss: 0.0263 - mse: 22.9106 - val_loss: 0.0159 - val_mse: 13.8393
Epoch 224/1000
1s - loss: 0.0162 - mse: 14.0810 - val_loss: 0.0159 - val_mse: 13.8332
Epoch 225/1000
1s - loss: 0.0158 - mse: 13.7696 - val_loss: 0.0159 - val_mse: 13.8288
Epoch 226/1000
1s - loss: 0.0148 - mse: 12.8590 - val_loss: 0.0159 - val_mse: 13.8243
Epoch 227/1000
1s - loss: 0.0185 - mse: 16.1507 - val_loss: 0.0159 - val_mse: 13.8215
Epoch 228/1000
1s - loss: 0.0141 - mse: 12.2907 - val_loss: 0.0159 - val_mse: 13.8187
Epoch 229/1000
1s - loss: 0.0147 - mse: 12.8011 - val_loss: 0.0159 - val_mse: 13.8166
Epoch 230/1000
1s - loss: 0.0181 - mse: 15.7723 - val_loss: 0.0159 - val_mse: 13.8160
Epoch 231/1000
1s - loss: 0.0161 - mse: 14.0205 - val_loss: 0.0159 - val_mse: 13.8157
Epoch 232/1000
1s - loss: 0.0148 - mse: 12.9093 - val_loss: 0.0159 - val_mse: 13.8155
Epoch 233/1000
1s - loss: 0.0232 - mse: 20.2003 - val_loss: 0.0159 - val_mse: 13.8137
Epoch 234/1000
1s - loss: 0.0158 - mse: 13.7986 - val_loss: 0.0159 - val_mse: 13.8124
Epoch 235/1000
1s - loss: 0.0189 - mse: 16.4876 - val_loss: 0.0159 - val_mse: 13.8119
Epoch 236/1000

Epoch 00235: reducing learning rate to 6.78223063005e-05.
1s - loss: 0.0181 - mse: 15.7218 - val_loss: 0.0159 - val_mse: 13.8107
Epoch 237/1000
1s - loss: 0.0138 - mse: 12.0528 - val_loss: 0.0159 - val_mse: 13.8096
Epoch 238/1000
1s - loss: 0.0149 - mse: 12.9915 - val_loss: 0.0159 - val_mse: 13.8086
Epoch 239/1000
1s - loss: 0.0168 - mse: 14.6084 - val_loss: 0.0159 - val_mse: 13.8074
Epoch 240/1000
1s - loss: 0.0155 - mse: 13.4632 - val_loss: 0.0159 - val_mse: 13.8059
Epoch 241/1000
1s - loss: 0.0173 - mse: 15.1080 - val_loss: 0.0159 - val_mse: 13.8045
Epoch 242/1000
1s - loss: 0.0148 - mse: 12.8908 - val_loss: 0.0159 - val_mse: 13.8030
Epoch 243/1000
1s - loss: 0.0212 - mse: 18.4348 - val_loss: 0.0158 - val_mse: 13.8017
Epoch 244/1000
1s - loss: 0.0253 - mse: 22.0110 - val_loss: 0.0158 - val_mse: 13.7991
Epoch 245/1000
1s - loss: 0.0168 - mse: 14.6235 - val_loss: 0.0158 - val_mse: 13.7962
Epoch 246/1000
1s - loss: 0.0169 - mse: 14.7052 - val_loss: 0.0158 - val_mse: 13.7938
Epoch 247/1000
1s - loss: 0.0164 - mse: 14.3237 - val_loss: 0.0158 - val_mse: 13.7913
Epoch 248/1000
1s - loss: 0.0177 - mse: 15.4003 - val_loss: 0.0158 - val_mse: 13.7894
Epoch 249/1000
1s - loss: 0.0148 - mse: 12.8788 - val_loss: 0.0158 - val_mse: 13.7880
Epoch 250/1000

Epoch 00249: reducing learning rate to 4.7475615429e-05.
1s - loss: 0.0183 - mse: 15.9043 - val_loss: 0.0158 - val_mse: 13.7860
Epoch 251/1000
1s - loss: 0.0143 - mse: 12.4646 - val_loss: 0.0158 - val_mse: 13.7846
Epoch 252/1000
1s - loss: 0.0143 - mse: 12.4469 - val_loss: 0.0158 - val_mse: 13.7832
Epoch 253/1000
1s - loss: 0.0151 - mse: 13.1923 - val_loss: 0.0158 - val_mse: 13.7823
Epoch 254/1000
1s - loss: 0.0158 - mse: 13.7919 - val_loss: 0.0158 - val_mse: 13.7813
Epoch 255/1000
1s - loss: 0.0146 - mse: 12.7420 - val_loss: 0.0158 - val_mse: 13.7802
Epoch 256/1000
1s - loss: 0.0153 - mse: 13.3376 - val_loss: 0.0158 - val_mse: 13.7791
Epoch 257/1000
1s - loss: 0.0191 - mse: 16.6539 - val_loss: 0.0158 - val_mse: 13.7776
Epoch 258/1000
1s - loss: 0.0143 - mse: 12.4945 - val_loss: 0.0158 - val_mse: 13.7762
Epoch 259/1000
1s - loss: 0.0137 - mse: 11.9012 - val_loss: 0.0158 - val_mse: 13.7748
Epoch 260/1000
1s - loss: 0.0184 - mse: 16.0078 - val_loss: 0.0158 - val_mse: 13.7738
Epoch 261/1000
1s - loss: 0.0172 - mse: 14.9575 - val_loss: 0.0158 - val_mse: 13.7729
Epoch 262/1000
1s - loss: 0.0285 - mse: 24.8448 - val_loss: 0.0158 - val_mse: 13.7724
Epoch 263/1000
1s - loss: 0.0164 - mse: 14.2788 - val_loss: 0.0158 - val_mse: 13.7724
Epoch 264/1000

Epoch 00263: reducing learning rate to 3.32329313096e-05.
1s - loss: 0.0138 - mse: 11.9909 - val_loss: 0.0158 - val_mse: 13.7722
Epoch 265/1000
1s - loss: 0.0198 - mse: 17.2121 - val_loss: 0.0158 - val_mse: 13.7724
Epoch 266/1000
1s - loss: 0.0169 - mse: 14.6805 - val_loss: 0.0158 - val_mse: 13.7725
Epoch 267/1000
1s - loss: 0.0213 - mse: 18.5228 - val_loss: 0.0158 - val_mse: 13.7727
Epoch 268/1000
1s - loss: 0.0181 - mse: 15.7270 - val_loss: 0.0158 - val_mse: 13.7731
Epoch 269/1000
1s - loss: 0.0160 - mse: 13.8928 - val_loss: 0.0158 - val_mse: 13.7734
Epoch 270/1000
1s - loss: 0.0181 - mse: 15.7735 - val_loss: 0.0158 - val_mse: 13.7737
Epoch 271/1000
1s - loss: 0.0154 - mse: 13.3899 - val_loss: 0.0158 - val_mse: 13.7735
Epoch 272/1000
1s - loss: 0.0148 - mse: 12.8579 - val_loss: 0.0158 - val_mse: 13.7735
Epoch 273/1000
1s - loss: 0.0265 - mse: 23.1114 - val_loss: 0.0158 - val_mse: 13.7737
Epoch 274/1000
1s - loss: 0.0147 - mse: 12.8077 - val_loss: 0.0158 - val_mse: 13.7739
Epoch 275/1000
1s - loss: 0.0157 - mse: 13.6387 - val_loss: 0.0158 - val_mse: 13.7741
Epoch 276/1000
1s - loss: 0.0237 - mse: 20.6524 - val_loss: 0.0158 - val_mse: 13.7745
Epoch 277/1000
1s - loss: 0.0160 - mse: 13.9592 - val_loss: 0.0158 - val_mse: 13.7747
Epoch 278/1000

Epoch 00277: reducing learning rate to 2.32630529354e-05.
1s - loss: 0.0241 - mse: 21.0138 - val_loss: 0.0158 - val_mse: 13.7748
Epoch 279/1000
1s - loss: 0.0144 - mse: 12.5412 - val_loss: 0.0158 - val_mse: 13.7747
Epoch 280/1000
1s - loss: 0.0188 - mse: 16.3998 - val_loss: 0.0158 - val_mse: 13.7750
Epoch 281/1000
1s - loss: 0.0188 - mse: 16.3380 - val_loss: 0.0158 - val_mse: 13.7750
Epoch 282/1000
1s - loss: 0.0357 - mse: 31.0736 - val_loss: 0.0158 - val_mse: 13.7753
Epoch 283/1000
1s - loss: 0.0197 - mse: 17.1909 - val_loss: 0.0158 - val_mse: 13.7759
Epoch 284/1000
1s - loss: 0.0174 - mse: 15.1584 - val_loss: 0.0158 - val_mse: 13.7766
Epoch 285/1000
1s - loss: 0.0235 - mse: 20.4271 - val_loss: 0.0158 - val_mse: 13.7776
Epoch 286/1000
1s - loss: 0.0165 - mse: 14.3744 - val_loss: 0.0158 - val_mse: 13.7783
Epoch 287/1000
1s - loss: 0.0187 - mse: 16.3079 - val_loss: 0.0158 - val_mse: 13.7793
Epoch 288/1000
1s - loss: 0.0220 - mse: 19.1821 - val_loss: 0.0158 - val_mse: 13.7798
Epoch 289/1000
1s - loss: 0.0149 - mse: 12.9643 - val_loss: 0.0158 - val_mse: 13.7802
Epoch 290/1000
1s - loss: 0.0156 - mse: 13.5800 - val_loss: 0.0158 - val_mse: 13.7802
Epoch 291/1000
1s - loss: 0.0295 - mse: 25.6809 - val_loss: 0.0158 - val_mse: 13.7806
Epoch 292/1000

Epoch 00291: reducing learning rate to 1.62841375641e-05.
1s - loss: 0.0237 - mse: 20.6306 - val_loss: 0.0158 - val_mse: 13.7814
Epoch 293/1000
1s - loss: 0.0141 - mse: 12.2624 - val_loss: 0.0158 - val_mse: 13.7818
Epoch 294/1000
1s - loss: 0.0140 - mse: 12.1694 - val_loss: 0.0158 - val_mse: 13.7821
Epoch 295/1000
1s - loss: 0.0166 - mse: 14.4415 - val_loss: 0.0158 - val_mse: 13.7825
Epoch 296/1000
1s - loss: 0.0292 - mse: 25.4377 - val_loss: 0.0158 - val_mse: 13.7832
Epoch 297/1000
1s - loss: 0.0144 - mse: 12.5354 - val_loss: 0.0158 - val_mse: 13.7838
Epoch 298/1000
1s - loss: 0.0249 - mse: 21.7126 - val_loss: 0.0158 - val_mse: 13.7840
Epoch 299/1000
1s - loss: 0.0151 - mse: 13.1591 - val_loss: 0.0158 - val_mse: 13.7841
Epoch 300/1000
1s - loss: 0.0232 - mse: 20.2110 - val_loss: 0.0158 - val_mse: 13.7839
Epoch 301/1000
1s - loss: 0.0149 - mse: 12.9969 - val_loss: 0.0158 - val_mse: 13.7836
Epoch 302/1000
1s - loss: 0.0145 - mse: 12.6671 - val_loss: 0.0158 - val_mse: 13.7832
Epoch 303/1000
1s - loss: 0.0156 - mse: 13.6166 - val_loss: 0.0158 - val_mse: 13.7829
Epoch 304/1000
1s - loss: 0.0191 - mse: 16.6536 - val_loss: 0.0158 - val_mse: 13.7825
Epoch 305/1000
1s - loss: 0.0195 - mse: 17.0051 - val_loss: 0.0158 - val_mse: 13.7818
Epoch 306/1000

Epoch 00305: reducing learning rate to 1.13988959129e-05.
1s - loss: 0.0169 - mse: 14.6926 - val_loss: 0.0158 - val_mse: 13.7810
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}, {'loss': 0.012262199074029922, 'width0': 135, 'width1': 150, 'val_mse': 11.153453826904297, 'mse': 10.678401947021484, 'val_loss': 0.012807708233594894, 'dropout1': 0.10000000000000001, 'dropout0': 0}, {'loss': 0.016871752217411995, 'width0': 135, 'width1': 150, 'val_mse': 13.781032562255859, 'mse': 14.692578315734863, 'val_loss': 0.015825005248188972, 'dropout1': 0.20000000000000001, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_36 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_37 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_20 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.0313 - mse: 27.2898 - val_loss: 0.3248 - val_mse: 282.8837
Epoch 2/1000
1s - loss: 0.3484 - mse: 303.4375 - val_loss: 0.1350 - val_mse: 117.5637
Epoch 3/1000
1s - loss: 0.1258 - mse: 109.5938 - val_loss: 0.0886 - val_mse: 77.1267
Epoch 4/1000
1s - loss: 0.0803 - mse: 69.9170 - val_loss: 0.1150 - val_mse: 100.1477
Epoch 5/1000
1s - loss: 0.1201 - mse: 104.5503 - val_loss: 0.0616 - val_mse: 53.6254
Epoch 6/1000
1s - loss: 0.0643 - mse: 55.9942 - val_loss: 0.0415 - val_mse: 36.1484
Epoch 7/1000
1s - loss: 0.0422 - mse: 36.7796 - val_loss: 0.0602 - val_mse: 52.3864
Epoch 8/1000
1s - loss: 0.0543 - mse: 47.3100 - val_loss: 0.0533 - val_mse: 46.3835
Epoch 9/1000
1s - loss: 0.1014 - mse: 88.2741 - val_loss: 0.0349 - val_mse: 30.3774
Epoch 10/1000
1s - loss: 0.0382 - mse: 33.2985 - val_loss: 0.0553 - val_mse: 48.1535
Epoch 11/1000
1s - loss: 0.0784 - mse: 68.3045 - val_loss: 0.0517 - val_mse: 45.0036
Epoch 12/1000
1s - loss: 0.0665 - mse: 57.8798 - val_loss: 0.0286 - val_mse: 24.8712
Epoch 13/1000
1s - loss: 0.0363 - mse: 31.6018 - val_loss: 0.0260 - val_mse: 22.6553
Epoch 14/1000
1s - loss: 0.0224 - mse: 19.5400 - val_loss: 0.0396 - val_mse: 34.4931
Epoch 15/1000
1s - loss: 0.0319 - mse: 27.8006 - val_loss: 0.0427 - val_mse: 37.1672
Epoch 16/1000
1s - loss: 0.0285 - mse: 24.7758 - val_loss: 0.0439 - val_mse: 38.2638
Epoch 17/1000
1s - loss: 0.0657 - mse: 57.2058 - val_loss: 0.0277 - val_mse: 24.1645
Epoch 18/1000
1s - loss: 0.0284 - mse: 24.7449 - val_loss: 0.0214 - val_mse: 18.6380
Epoch 19/1000
1s - loss: 0.0225 - mse: 19.6289 - val_loss: 0.0237 - val_mse: 20.6728
Epoch 20/1000
1s - loss: 0.0410 - mse: 35.7435 - val_loss: 0.0244 - val_mse: 21.2051
Epoch 21/1000
1s - loss: 0.0282 - mse: 24.5384 - val_loss: 0.0291 - val_mse: 25.3246
Epoch 22/1000
1s - loss: 0.0370 - mse: 32.1901 - val_loss: 0.0281 - val_mse: 24.5063
Epoch 23/1000

Epoch 00022: reducing learning rate to 0.00699999984354.
3s - loss: 0.0278 - mse: 24.1676 - val_loss: 0.0263 - val_mse: 22.9400
Epoch 24/1000
1s - loss: 0.0491 - mse: 42.7247 - val_loss: 0.0261 - val_mse: 22.7434
Epoch 25/1000
1s - loss: 0.0284 - mse: 24.7182 - val_loss: 0.0263 - val_mse: 22.9047
Epoch 26/1000
1s - loss: 0.0266 - mse: 23.1908 - val_loss: 0.0254 - val_mse: 22.1276
Epoch 27/1000
1s - loss: 0.0326 - mse: 28.4048 - val_loss: 0.0225 - val_mse: 19.6294
Epoch 28/1000
1s - loss: 0.0287 - mse: 24.9961 - val_loss: 0.0236 - val_mse: 20.5762
Epoch 29/1000
1s - loss: 0.1168 - mse: 101.7123 - val_loss: 0.0311 - val_mse: 27.1083
Epoch 30/1000
1s - loss: 0.0263 - mse: 22.9038 - val_loss: 0.0458 - val_mse: 39.9015
Epoch 31/1000
1s - loss: 0.0439 - mse: 38.2523 - val_loss: 0.0483 - val_mse: 42.0449
Epoch 32/1000
1s - loss: 0.0237 - mse: 20.6003 - val_loss: 0.0443 - val_mse: 38.5621
Epoch 33/1000
1s - loss: 0.0448 - mse: 38.9871 - val_loss: 0.0297 - val_mse: 25.8808
Epoch 34/1000
1s - loss: 0.0264 - mse: 22.9699 - val_loss: 0.0199 - val_mse: 17.3445
Epoch 35/1000
1s - loss: 0.0176 - mse: 15.3350 - val_loss: 0.0186 - val_mse: 16.2276
Epoch 36/1000
1s - loss: 0.0162 - mse: 14.1465 - val_loss: 0.0210 - val_mse: 18.3280
Epoch 37/1000
1s - loss: 0.0303 - mse: 26.3568 - val_loss: 0.0213 - val_mse: 18.5907
Epoch 38/1000
1s - loss: 0.0180 - mse: 15.6856 - val_loss: 0.0205 - val_mse: 17.8840
Epoch 39/1000
1s - loss: 0.0195 - mse: 17.0183 - val_loss: 0.0195 - val_mse: 17.0136
Epoch 40/1000

Epoch 00039: reducing learning rate to 0.00489999982528.
1s - loss: 0.0203 - mse: 17.6844 - val_loss: 0.0188 - val_mse: 16.3664
Epoch 41/1000
1s - loss: 0.0201 - mse: 17.5113 - val_loss: 0.0185 - val_mse: 16.1532
Epoch 42/1000
1s - loss: 0.0193 - mse: 16.7829 - val_loss: 0.0191 - val_mse: 16.6673
Epoch 43/1000
1s - loss: 0.0215 - mse: 18.7005 - val_loss: 0.0195 - val_mse: 16.9635
Epoch 44/1000
1s - loss: 0.0215 - mse: 18.7367 - val_loss: 0.0180 - val_mse: 15.6333
Epoch 45/1000
1s - loss: 0.0266 - mse: 23.1929 - val_loss: 0.0151 - val_mse: 13.1736
Epoch 46/1000
1s - loss: 0.0169 - mse: 14.7496 - val_loss: 0.0142 - val_mse: 12.3775
Epoch 47/1000
1s - loss: 0.0186 - mse: 16.1971 - val_loss: 0.0154 - val_mse: 13.4051
Epoch 48/1000
1s - loss: 0.0127 - mse: 11.0794 - val_loss: 0.0185 - val_mse: 16.1222
Epoch 49/1000
1s - loss: 0.0222 - mse: 19.3200 - val_loss: 0.0203 - val_mse: 17.6968
Epoch 50/1000
1s - loss: 0.0232 - mse: 20.2356 - val_loss: 0.0202 - val_mse: 17.5765
Epoch 51/1000
1s - loss: 0.0284 - mse: 24.7645 - val_loss: 0.0181 - val_mse: 15.7747
Epoch 52/1000
1s - loss: 0.0190 - mse: 16.5035 - val_loss: 0.0166 - val_mse: 14.4525
Epoch 53/1000
1s - loss: 0.0215 - mse: 18.7490 - val_loss: 0.0156 - val_mse: 13.5549
Epoch 54/1000

Epoch 00053: reducing learning rate to 0.00343000004068.
1s - loss: 0.0183 - mse: 15.8967 - val_loss: 0.0165 - val_mse: 14.3419
Epoch 55/1000
1s - loss: 0.0185 - mse: 16.1490 - val_loss: 0.0177 - val_mse: 15.4347
Epoch 56/1000
1s - loss: 0.0292 - mse: 25.4270 - val_loss: 0.0169 - val_mse: 14.7243
Epoch 57/1000
1s - loss: 0.0144 - mse: 12.5013 - val_loss: 0.0159 - val_mse: 13.8604
Epoch 58/1000
1s - loss: 0.0158 - mse: 13.7955 - val_loss: 0.0144 - val_mse: 12.5717
Epoch 59/1000
1s - loss: 0.0349 - mse: 30.3538 - val_loss: 0.0123 - val_mse: 10.7155
Epoch 60/1000
1s - loss: 0.0188 - mse: 16.3928 - val_loss: 0.0124 - val_mse: 10.7707
Epoch 61/1000
1s - loss: 0.0166 - mse: 14.4213 - val_loss: 0.0138 - val_mse: 11.9813
Epoch 62/1000
1s - loss: 0.0368 - mse: 32.0277 - val_loss: 0.0138 - val_mse: 12.0470
Epoch 63/1000
1s - loss: 0.0105 - mse: 9.1633 - val_loss: 0.0143 - val_mse: 12.4242
Epoch 64/1000
1s - loss: 0.0123 - mse: 10.6775 - val_loss: 0.0146 - val_mse: 12.7168
Epoch 65/1000
1s - loss: 0.0258 - mse: 22.4337 - val_loss: 0.0139 - val_mse: 12.1385
Epoch 66/1000
1s - loss: 0.0262 - mse: 22.8166 - val_loss: 0.0128 - val_mse: 11.1748
Epoch 67/1000
1s - loss: 0.0180 - mse: 15.6514 - val_loss: 0.0122 - val_mse: 10.5985
Epoch 68/1000
1s - loss: 0.0117 - mse: 10.1485 - val_loss: 0.0121 - val_mse: 10.5588
Epoch 69/1000
1s - loss: 0.0131 - mse: 11.3782 - val_loss: 0.0124 - val_mse: 10.7980
Epoch 70/1000
1s - loss: 0.0144 - mse: 12.5419 - val_loss: 0.0125 - val_mse: 10.8852
Epoch 71/1000
1s - loss: 0.0197 - mse: 17.1384 - val_loss: 0.0123 - val_mse: 10.6826
Epoch 72/1000
1s - loss: 0.0160 - mse: 13.9028 - val_loss: 0.0118 - val_mse: 10.2403
Epoch 73/1000
1s - loss: 0.0118 - mse: 10.2927 - val_loss: 0.0114 - val_mse: 9.8914
Epoch 74/1000
1s - loss: 0.0150 - mse: 13.0864 - val_loss: 0.0114 - val_mse: 9.9551
Epoch 75/1000
1s - loss: 0.0114 - mse: 9.9182 - val_loss: 0.0119 - val_mse: 10.3863
Epoch 76/1000
1s - loss: 0.0123 - mse: 10.6799 - val_loss: 0.0127 - val_mse: 11.0363
Epoch 77/1000
1s - loss: 0.0134 - mse: 11.6397 - val_loss: 0.0129 - val_mse: 11.2056
Epoch 78/1000

Epoch 00077: reducing learning rate to 0.00240100002848.
1s - loss: 0.0157 - mse: 13.7099 - val_loss: 0.0125 - val_mse: 10.8558
Epoch 79/1000
1s - loss: 0.0125 - mse: 10.9041 - val_loss: 0.0121 - val_mse: 10.4993
Epoch 80/1000
1s - loss: 0.0167 - mse: 14.5307 - val_loss: 0.0119 - val_mse: 10.3828
Epoch 81/1000
1s - loss: 0.0222 - mse: 19.2962 - val_loss: 0.0114 - val_mse: 9.9554
Epoch 82/1000
1s - loss: 0.0183 - mse: 15.9731 - val_loss: 0.0108 - val_mse: 9.3683
Epoch 83/1000
1s - loss: 0.0094 - mse: 8.1774 - val_loss: 0.0105 - val_mse: 9.1325
Epoch 84/1000
1s - loss: 0.0143 - mse: 12.4486 - val_loss: 0.0103 - val_mse: 8.9741
Epoch 85/1000
1s - loss: 0.0304 - mse: 26.4547 - val_loss: 0.0105 - val_mse: 9.1509
Epoch 86/1000
1s - loss: 0.0151 - mse: 13.1112 - val_loss: 0.0108 - val_mse: 9.3775
Epoch 87/1000
1s - loss: 0.0170 - mse: 14.8150 - val_loss: 0.0112 - val_mse: 9.7622
Epoch 88/1000
1s - loss: 0.0154 - mse: 13.4298 - val_loss: 0.0122 - val_mse: 10.6013
Epoch 89/1000
1s - loss: 0.0125 - mse: 10.9212 - val_loss: 0.0128 - val_mse: 11.1177
Epoch 90/1000
1s - loss: 0.0149 - mse: 12.9530 - val_loss: 0.0130 - val_mse: 11.3561
Epoch 91/1000
1s - loss: 0.0097 - mse: 8.4333 - val_loss: 0.0132 - val_mse: 11.5031
Epoch 92/1000

Epoch 00091: reducing learning rate to 0.00168070008513.
1s - loss: 0.0108 - mse: 9.4151 - val_loss: 0.0135 - val_mse: 11.7248
Epoch 93/1000
1s - loss: 0.0137 - mse: 11.9549 - val_loss: 0.0133 - val_mse: 11.5583
Epoch 94/1000
1s - loss: 0.0170 - mse: 14.8422 - val_loss: 0.0126 - val_mse: 10.9344
Epoch 95/1000
1s - loss: 0.0105 - mse: 9.1277 - val_loss: 0.0122 - val_mse: 10.6134
Epoch 96/1000
1s - loss: 0.0118 - mse: 10.2738 - val_loss: 0.0120 - val_mse: 10.4368
Epoch 97/1000
1s - loss: 0.0120 - mse: 10.4159 - val_loss: 0.0118 - val_mse: 10.2974
Epoch 98/1000
1s - loss: 0.0118 - mse: 10.2660 - val_loss: 0.0115 - val_mse: 10.0133
Epoch 99/1000
1s - loss: 0.0079 - mse: 6.8985 - val_loss: 0.0113 - val_mse: 9.8219
Epoch 100/1000
1s - loss: 0.0132 - mse: 11.5378 - val_loss: 0.0108 - val_mse: 9.4482
Epoch 101/1000
1s - loss: 0.0101 - mse: 8.7544 - val_loss: 0.0105 - val_mse: 9.1075
Epoch 102/1000
1s - loss: 0.0152 - mse: 13.2724 - val_loss: 0.0101 - val_mse: 8.7657
Epoch 103/1000
1s - loss: 0.0158 - mse: 13.7221 - val_loss: 0.0098 - val_mse: 8.5160
Epoch 104/1000
1s - loss: 0.0107 - mse: 9.3415 - val_loss: 0.0098 - val_mse: 8.5061
Epoch 105/1000
1s - loss: 0.0126 - mse: 10.9989 - val_loss: 0.0101 - val_mse: 8.7613
Epoch 106/1000
1s - loss: 0.0087 - mse: 7.5792 - val_loss: 0.0107 - val_mse: 9.2845
Epoch 107/1000
1s - loss: 0.0083 - mse: 7.2129 - val_loss: 0.0113 - val_mse: 9.8764
Epoch 108/1000

Epoch 00107: reducing learning rate to 0.00117649007589.
1s - loss: 0.0129 - mse: 11.2024 - val_loss: 0.0124 - val_mse: 10.8048
Epoch 109/1000
1s - loss: 0.0101 - mse: 8.8000 - val_loss: 0.0130 - val_mse: 11.3466
Epoch 110/1000
1s - loss: 0.0088 - mse: 7.6826 - val_loss: 0.0135 - val_mse: 11.7688
Epoch 111/1000
1s - loss: 0.0239 - mse: 20.7758 - val_loss: 0.0135 - val_mse: 11.7367
Epoch 112/1000
1s - loss: 0.0139 - mse: 12.0674 - val_loss: 0.0132 - val_mse: 11.5131
Epoch 113/1000
2s - loss: 0.0091 - mse: 7.9033 - val_loss: 0.0130 - val_mse: 11.3313
Epoch 114/1000
1s - loss: 0.0140 - mse: 12.1734 - val_loss: 0.0126 - val_mse: 10.9788
Epoch 115/1000
1s - loss: 0.0110 - mse: 9.6159 - val_loss: 0.0121 - val_mse: 10.5362
Epoch 116/1000
1s - loss: 0.0098 - mse: 8.5213 - val_loss: 0.0116 - val_mse: 10.1082
Epoch 117/1000
1s - loss: 0.0147 - mse: 12.8303 - val_loss: 0.0112 - val_mse: 9.7637
Epoch 118/1000
1s - loss: 0.0123 - mse: 10.6811 - val_loss: 0.0107 - val_mse: 9.3461
Epoch 119/1000
1s - loss: 0.0244 - mse: 21.2739 - val_loss: 0.0101 - val_mse: 8.7826
Epoch 120/1000
1s - loss: 0.0097 - mse: 8.4722 - val_loss: 0.0095 - val_mse: 8.2919
Epoch 121/1000
1s - loss: 0.0094 - mse: 8.2035 - val_loss: 0.0091 - val_mse: 7.9422
Epoch 122/1000
1s - loss: 0.0098 - mse: 8.5299 - val_loss: 0.0089 - val_mse: 7.7262
Epoch 123/1000
1s - loss: 0.0105 - mse: 9.1404 - val_loss: 0.0087 - val_mse: 7.5603
Epoch 124/1000
1s - loss: 0.0210 - mse: 18.2982 - val_loss: 0.0086 - val_mse: 7.5101
Epoch 125/1000
1s - loss: 0.0085 - mse: 7.4221 - val_loss: 0.0087 - val_mse: 7.6075
Epoch 126/1000
1s - loss: 0.0107 - mse: 9.3337 - val_loss: 0.0090 - val_mse: 7.8539
Epoch 127/1000
1s - loss: 0.0131 - mse: 11.3689 - val_loss: 0.0093 - val_mse: 8.0945
Epoch 128/1000

Epoch 00127: reducing learning rate to 0.000823543069419.
1s - loss: 0.0098 - mse: 8.5738 - val_loss: 0.0096 - val_mse: 8.3496
Epoch 129/1000
1s - loss: 0.0083 - mse: 7.1898 - val_loss: 0.0098 - val_mse: 8.5074
Epoch 130/1000
1s - loss: 0.0107 - mse: 9.2879 - val_loss: 0.0099 - val_mse: 8.6635
Epoch 131/1000
1s - loss: 0.0193 - mse: 16.7759 - val_loss: 0.0099 - val_mse: 8.6259
Epoch 132/1000
1s - loss: 0.0078 - mse: 6.7579 - val_loss: 0.0098 - val_mse: 8.5676
Epoch 133/1000
1s - loss: 0.0140 - mse: 12.2064 - val_loss: 0.0096 - val_mse: 8.4010
Epoch 134/1000
1s - loss: 0.0122 - mse: 10.6450 - val_loss: 0.0094 - val_mse: 8.1812
Epoch 135/1000
1s - loss: 0.0103 - mse: 8.9674 - val_loss: 0.0092 - val_mse: 8.0016
Epoch 136/1000
1s - loss: 0.0114 - mse: 9.9012 - val_loss: 0.0089 - val_mse: 7.7917
Epoch 137/1000
1s - loss: 0.0077 - mse: 6.7238 - val_loss: 0.0088 - val_mse: 7.6477
Epoch 138/1000
1s - loss: 0.0090 - mse: 7.8705 - val_loss: 0.0086 - val_mse: 7.5174
Epoch 139/1000
1s - loss: 0.0080 - mse: 6.9451 - val_loss: 0.0085 - val_mse: 7.4355
Epoch 140/1000
1s - loss: 0.0087 - mse: 7.5768 - val_loss: 0.0085 - val_mse: 7.3951
Epoch 141/1000
1s - loss: 0.0087 - mse: 7.6114 - val_loss: 0.0085 - val_mse: 7.3979
Epoch 142/1000
1s - loss: 0.0093 - mse: 8.0919 - val_loss: 0.0085 - val_mse: 7.3867
Epoch 143/1000
1s - loss: 0.0123 - mse: 10.6726 - val_loss: 0.0085 - val_mse: 7.3782
Epoch 144/1000

Epoch 00143: reducing learning rate to 0.000576480140444.
1s - loss: 0.0121 - mse: 10.5586 - val_loss: 0.0085 - val_mse: 7.3650
Epoch 145/1000
1s - loss: 0.0094 - mse: 8.1818 - val_loss: 0.0084 - val_mse: 7.3377
Epoch 146/1000
1s - loss: 0.0146 - mse: 12.6761 - val_loss: 0.0084 - val_mse: 7.3363
Epoch 147/1000
1s - loss: 0.0103 - mse: 8.9504 - val_loss: 0.0084 - val_mse: 7.3435
Epoch 148/1000
1s - loss: 0.0109 - mse: 9.4744 - val_loss: 0.0084 - val_mse: 7.3256
Epoch 149/1000
1s - loss: 0.0077 - mse: 6.7408 - val_loss: 0.0084 - val_mse: 7.3200
Epoch 150/1000
1s - loss: 0.0067 - mse: 5.8021 - val_loss: 0.0084 - val_mse: 7.3083
Epoch 151/1000
1s - loss: 0.0085 - mse: 7.3684 - val_loss: 0.0084 - val_mse: 7.2960
Epoch 152/1000
1s - loss: 0.0107 - mse: 9.2906 - val_loss: 0.0084 - val_mse: 7.2874
Epoch 153/1000
1s - loss: 0.0106 - mse: 9.2385 - val_loss: 0.0084 - val_mse: 7.3065
Epoch 154/1000
1s - loss: 0.0090 - mse: 7.7943 - val_loss: 0.0084 - val_mse: 7.3054
Epoch 155/1000
1s - loss: 0.0116 - mse: 10.1410 - val_loss: 0.0084 - val_mse: 7.2884
Epoch 156/1000
1s - loss: 0.0193 - mse: 16.8166 - val_loss: 0.0083 - val_mse: 7.2562
Epoch 157/1000
1s - loss: 0.0077 - mse: 6.7054 - val_loss: 0.0083 - val_mse: 7.2190
Epoch 158/1000
1s - loss: 0.0104 - mse: 9.0837 - val_loss: 0.0083 - val_mse: 7.2067
Epoch 159/1000
1s - loss: 0.0116 - mse: 10.1318 - val_loss: 0.0082 - val_mse: 7.1838
Epoch 160/1000
1s - loss: 0.0074 - mse: 6.4141 - val_loss: 0.0082 - val_mse: 7.1753
Epoch 161/1000
1s - loss: 0.0099 - mse: 8.6511 - val_loss: 0.0082 - val_mse: 7.1513
Epoch 162/1000
1s - loss: 0.0107 - mse: 9.2890 - val_loss: 0.0082 - val_mse: 7.1142
Epoch 163/1000
1s - loss: 0.0080 - mse: 6.9506 - val_loss: 0.0081 - val_mse: 7.0921
Epoch 164/1000
1s - loss: 0.0084 - mse: 7.2944 - val_loss: 0.0081 - val_mse: 7.0727
Epoch 165/1000
1s - loss: 0.0086 - mse: 7.5252 - val_loss: 0.0081 - val_mse: 7.0564
Epoch 166/1000
1s - loss: 0.0082 - mse: 7.1607 - val_loss: 0.0081 - val_mse: 7.0431
Epoch 167/1000
1s - loss: 0.0113 - mse: 9.8552 - val_loss: 0.0081 - val_mse: 7.0130
Epoch 168/1000
1s - loss: 0.0080 - mse: 6.9832 - val_loss: 0.0080 - val_mse: 6.9870
Epoch 169/1000
1s - loss: 0.0096 - mse: 8.3190 - val_loss: 0.0080 - val_mse: 6.9670
Epoch 170/1000
1s - loss: 0.0105 - mse: 9.1027 - val_loss: 0.0080 - val_mse: 6.9534
Epoch 171/1000
1s - loss: 0.0100 - mse: 8.7086 - val_loss: 0.0080 - val_mse: 6.9484
Epoch 172/1000

Epoch 00171: reducing learning rate to 0.000403536082013.
1s - loss: 0.0110 - mse: 9.6045 - val_loss: 0.0080 - val_mse: 6.9503
Epoch 173/1000
1s - loss: 0.0076 - mse: 6.5829 - val_loss: 0.0080 - val_mse: 6.9552
Epoch 174/1000
1s - loss: 0.0117 - mse: 10.1892 - val_loss: 0.0080 - val_mse: 6.9518
Epoch 175/1000
1s - loss: 0.0111 - mse: 9.6268 - val_loss: 0.0080 - val_mse: 6.9429
Epoch 176/1000
1s - loss: 0.0083 - mse: 7.2274 - val_loss: 0.0080 - val_mse: 6.9344
Epoch 177/1000
1s - loss: 0.0159 - mse: 13.8184 - val_loss: 0.0079 - val_mse: 6.9179
Epoch 178/1000
1s - loss: 0.0071 - mse: 6.2201 - val_loss: 0.0079 - val_mse: 6.9056
Epoch 179/1000
1s - loss: 0.0079 - mse: 6.9212 - val_loss: 0.0079 - val_mse: 6.8924
Epoch 180/1000
1s - loss: 0.0098 - mse: 8.5259 - val_loss: 0.0079 - val_mse: 6.8785
Epoch 181/1000
1s - loss: 0.0100 - mse: 8.6707 - val_loss: 0.0079 - val_mse: 6.8666
Epoch 182/1000
1s - loss: 0.0082 - mse: 7.1572 - val_loss: 0.0079 - val_mse: 6.8575
Epoch 183/1000
1s - loss: 0.0084 - mse: 7.2947 - val_loss: 0.0079 - val_mse: 6.8539
Epoch 184/1000
1s - loss: 0.0121 - mse: 10.5237 - val_loss: 0.0079 - val_mse: 6.8524
Epoch 185/1000
1s - loss: 0.0092 - mse: 7.9955 - val_loss: 0.0079 - val_mse: 6.8486
Epoch 186/1000

Epoch 00185: reducing learning rate to 0.000282475253334.
1s - loss: 0.0077 - mse: 6.6856 - val_loss: 0.0079 - val_mse: 6.8460
Epoch 187/1000
1s - loss: 0.0077 - mse: 6.7486 - val_loss: 0.0079 - val_mse: 6.8478
Epoch 188/1000
1s - loss: 0.0100 - mse: 8.6994 - val_loss: 0.0079 - val_mse: 6.8453
Epoch 189/1000
1s - loss: 0.0166 - mse: 14.4233 - val_loss: 0.0079 - val_mse: 6.8366
Epoch 190/1000
1s - loss: 0.0141 - mse: 12.2492 - val_loss: 0.0078 - val_mse: 6.8254
Epoch 191/1000
1s - loss: 0.0090 - mse: 7.8474 - val_loss: 0.0078 - val_mse: 6.8173
Epoch 192/1000
1s - loss: 0.0067 - mse: 5.8466 - val_loss: 0.0078 - val_mse: 6.8106
Epoch 193/1000
1s - loss: 0.0084 - mse: 7.2762 - val_loss: 0.0078 - val_mse: 6.8099
Epoch 194/1000
1s - loss: 0.0069 - mse: 6.0179 - val_loss: 0.0078 - val_mse: 6.8104
Epoch 195/1000
1s - loss: 0.0081 - mse: 7.0792 - val_loss: 0.0078 - val_mse: 6.8135
Epoch 196/1000
1s - loss: 0.0130 - mse: 11.3545 - val_loss: 0.0078 - val_mse: 6.8110
Epoch 197/1000
1s - loss: 0.0115 - mse: 10.0147 - val_loss: 0.0078 - val_mse: 6.8122
Epoch 198/1000
1s - loss: 0.0090 - mse: 7.8421 - val_loss: 0.0078 - val_mse: 6.8146
Epoch 199/1000
1s - loss: 0.0078 - mse: 6.7938 - val_loss: 0.0078 - val_mse: 6.8142
Epoch 200/1000

Epoch 00199: reducing learning rate to 0.000197732681409.
1s - loss: 0.0064 - mse: 5.5858 - val_loss: 0.0078 - val_mse: 6.8162
Epoch 201/1000
1s - loss: 0.0077 - mse: 6.6725 - val_loss: 0.0078 - val_mse: 6.8189
Epoch 202/1000
1s - loss: 0.0092 - mse: 8.0158 - val_loss: 0.0078 - val_mse: 6.8185
Epoch 203/1000
1s - loss: 0.0076 - mse: 6.6221 - val_loss: 0.0078 - val_mse: 6.8211
Epoch 204/1000
1s - loss: 0.0097 - mse: 8.4686 - val_loss: 0.0078 - val_mse: 6.8196
Epoch 205/1000
1s - loss: 0.0083 - mse: 7.2489 - val_loss: 0.0078 - val_mse: 6.8174
Epoch 206/1000
1s - loss: 0.0075 - mse: 6.5733 - val_loss: 0.0078 - val_mse: 6.8132
Epoch 207/1000
1s - loss: 0.0089 - mse: 7.7938 - val_loss: 0.0078 - val_mse: 6.8102
Epoch 208/1000
1s - loss: 0.0092 - mse: 7.9942 - val_loss: 0.0078 - val_mse: 6.8061
Epoch 209/1000
1s - loss: 0.0097 - mse: 8.4698 - val_loss: 0.0078 - val_mse: 6.8069
Epoch 210/1000
1s - loss: 0.0089 - mse: 7.7169 - val_loss: 0.0078 - val_mse: 6.8061
Epoch 211/1000
1s - loss: 0.0068 - mse: 5.9218 - val_loss: 0.0078 - val_mse: 6.8075
Epoch 212/1000
1s - loss: 0.0099 - mse: 8.6459 - val_loss: 0.0078 - val_mse: 6.8078
Epoch 213/1000
1s - loss: 0.0078 - mse: 6.7774 - val_loss: 0.0078 - val_mse: 6.8056
Epoch 214/1000

Epoch 00213: reducing learning rate to 0.000138412872911.
1s - loss: 0.0082 - mse: 7.1666 - val_loss: 0.0078 - val_mse: 6.8038
Epoch 215/1000
1s - loss: 0.0092 - mse: 7.9696 - val_loss: 0.0078 - val_mse: 6.8045
Epoch 216/1000
1s - loss: 0.0085 - mse: 7.3915 - val_loss: 0.0078 - val_mse: 6.8050
Epoch 217/1000
1s - loss: 0.0085 - mse: 7.3744 - val_loss: 0.0078 - val_mse: 6.8055
Epoch 218/1000
1s - loss: 0.0085 - mse: 7.3679 - val_loss: 0.0078 - val_mse: 6.8071
Epoch 219/1000
1s - loss: 0.0077 - mse: 6.7414 - val_loss: 0.0078 - val_mse: 6.8071
Epoch 220/1000
1s - loss: 0.0080 - mse: 7.0035 - val_loss: 0.0078 - val_mse: 6.8063
Epoch 221/1000
1s - loss: 0.0101 - mse: 8.8351 - val_loss: 0.0078 - val_mse: 6.8061
Epoch 222/1000
1s - loss: 0.0093 - mse: 8.1415 - val_loss: 0.0078 - val_mse: 6.8067
Epoch 223/1000
1s - loss: 0.0064 - mse: 5.5453 - val_loss: 0.0078 - val_mse: 6.8083
Epoch 224/1000
1s - loss: 0.0078 - mse: 6.7558 - val_loss: 0.0078 - val_mse: 6.8075
Epoch 225/1000
1s - loss: 0.0073 - mse: 6.3437 - val_loss: 0.0078 - val_mse: 6.8071
Epoch 226/1000
1s - loss: 0.0190 - mse: 16.5466 - val_loss: 0.0078 - val_mse: 6.8085
Epoch 227/1000
1s - loss: 0.0080 - mse: 6.9404 - val_loss: 0.0078 - val_mse: 6.8076
Epoch 228/1000

Epoch 00227: reducing learning rate to 9.68890090007e-05.
1s - loss: 0.0117 - mse: 10.1490 - val_loss: 0.0078 - val_mse: 6.8073
Epoch 229/1000
1s - loss: 0.0079 - mse: 6.8591 - val_loss: 0.0078 - val_mse: 6.8084
Epoch 230/1000
1s - loss: 0.0086 - mse: 7.5304 - val_loss: 0.0078 - val_mse: 6.8083
Epoch 231/1000
1s - loss: 0.0085 - mse: 7.4052 - val_loss: 0.0078 - val_mse: 6.8090
Epoch 232/1000
1s - loss: 0.0071 - mse: 6.2143 - val_loss: 0.0078 - val_mse: 6.8110
Epoch 233/1000
1s - loss: 0.0098 - mse: 8.5242 - val_loss: 0.0078 - val_mse: 6.8103
Epoch 234/1000
1s - loss: 0.0085 - mse: 7.3716 - val_loss: 0.0078 - val_mse: 6.8079
Epoch 235/1000
1s - loss: 0.0087 - mse: 7.5436 - val_loss: 0.0078 - val_mse: 6.8045
Epoch 236/1000
1s - loss: 0.0092 - mse: 8.0499 - val_loss: 0.0078 - val_mse: 6.8029
Epoch 237/1000
1s - loss: 0.0128 - mse: 11.1351 - val_loss: 0.0078 - val_mse: 6.8018
Epoch 238/1000
1s - loss: 0.0080 - mse: 6.9504 - val_loss: 0.0078 - val_mse: 6.8008
Epoch 239/1000
1s - loss: 0.0077 - mse: 6.6824 - val_loss: 0.0078 - val_mse: 6.7991
Epoch 240/1000
1s - loss: 0.0083 - mse: 7.2584 - val_loss: 0.0078 - val_mse: 6.7961
Epoch 241/1000
1s - loss: 0.0079 - mse: 6.8809 - val_loss: 0.0078 - val_mse: 6.7947
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}, {'loss': 0.012262199074029922, 'width0': 135, 'width1': 150, 'val_mse': 11.153453826904297, 'mse': 10.678401947021484, 'val_loss': 0.012807708233594894, 'dropout1': 0.10000000000000001, 'dropout0': 0}, {'loss': 0.016871752217411995, 'width0': 135, 'width1': 150, 'val_mse': 13.781032562255859, 'mse': 14.692578315734863, 'val_loss': 0.015825005248188972, 'dropout1': 0.20000000000000001, 'dropout0': 0}, {'loss': 0.0079014608636498451, 'width0': 135, 'width1': 150, 'val_mse': 6.7946681976318359, 'mse': 6.8809013366699219, 'val_loss': 0.0078024403192102909, 'dropout1': 0.30000000000000004, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_38 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_39 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_21 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.0104 - mse: 9.0223 - val_loss: 0.1895 - val_mse: 165.0675
Epoch 2/1000
1s - loss: 0.1872 - mse: 163.0241 - val_loss: 0.0584 - val_mse: 50.8445
Epoch 3/1000
1s - loss: 0.0365 - mse: 31.7444 - val_loss: 0.0583 - val_mse: 50.7584
Epoch 4/1000
1s - loss: 0.0364 - mse: 31.6704 - val_loss: 0.1174 - val_mse: 102.2213
Epoch 5/1000
1s - loss: 0.1486 - mse: 129.4168 - val_loss: 0.0447 - val_mse: 38.8894
Epoch 6/1000
1s - loss: 0.0266 - mse: 23.1433 - val_loss: 0.0603 - val_mse: 52.5117
Epoch 7/1000
1s - loss: 0.0620 - mse: 53.9719 - val_loss: 0.0360 - val_mse: 31.3112
Epoch 8/1000
1s - loss: 0.0394 - mse: 34.3101 - val_loss: 0.0241 - val_mse: 20.9844
Epoch 9/1000
1s - loss: 0.0386 - mse: 33.6049 - val_loss: 0.0257 - val_mse: 22.3895
Epoch 10/1000
1s - loss: 0.0356 - mse: 30.9971 - val_loss: 0.0291 - val_mse: 25.3402
Epoch 11/1000
1s - loss: 0.0450 - mse: 39.1530 - val_loss: 0.0372 - val_mse: 32.4369
Epoch 12/1000
1s - loss: 0.0233 - mse: 20.3069 - val_loss: 0.0411 - val_mse: 35.8103
Epoch 13/1000

Epoch 00012: reducing learning rate to 0.00699999984354.
3s - loss: 0.0564 - mse: 49.1385 - val_loss: 0.0321 - val_mse: 27.9194
Epoch 14/1000
1s - loss: 0.0444 - mse: 38.6253 - val_loss: 0.0192 - val_mse: 16.7586
Epoch 15/1000
1s - loss: 0.0130 - mse: 11.3135 - val_loss: 0.0176 - val_mse: 15.3039
Epoch 16/1000
1s - loss: 0.0252 - mse: 21.9193 - val_loss: 0.0197 - val_mse: 17.1394
Epoch 17/1000
1s - loss: 0.0327 - mse: 28.4576 - val_loss: 0.0199 - val_mse: 17.3552
Epoch 18/1000
1s - loss: 0.0237 - mse: 20.6136 - val_loss: 0.0165 - val_mse: 14.3452
Epoch 19/1000
1s - loss: 0.0305 - mse: 26.5344 - val_loss: 0.0133 - val_mse: 11.5537
Epoch 20/1000
1s - loss: 0.0394 - mse: 34.2767 - val_loss: 0.0143 - val_mse: 12.4251
Epoch 21/1000
1s - loss: 0.0246 - mse: 21.3826 - val_loss: 0.0200 - val_mse: 17.4322
Epoch 22/1000
1s - loss: 0.0231 - mse: 20.1036 - val_loss: 0.0222 - val_mse: 19.3712
Epoch 23/1000
1s - loss: 0.0157 - mse: 13.7086 - val_loss: 0.0233 - val_mse: 20.3055
Epoch 24/1000
1s - loss: 0.0250 - mse: 21.7739 - val_loss: 0.0209 - val_mse: 18.1716
Epoch 25/1000
1s - loss: 0.0265 - mse: 23.0497 - val_loss: 0.0250 - val_mse: 21.7521
Epoch 26/1000
1s - loss: 0.0375 - mse: 32.6792 - val_loss: 0.0242 - val_mse: 21.1011
Epoch 27/1000

Epoch 00026: reducing learning rate to 0.00489999982528.
1s - loss: 0.0452 - mse: 39.3447 - val_loss: 0.0203 - val_mse: 17.7000
Epoch 28/1000
1s - loss: 0.0200 - mse: 17.4494 - val_loss: 0.0196 - val_mse: 17.0777
Epoch 29/1000
1s - loss: 0.0141 - mse: 12.3115 - val_loss: 0.0209 - val_mse: 18.1667
Epoch 30/1000
1s - loss: 0.0307 - mse: 26.7456 - val_loss: 0.0209 - val_mse: 18.2094
Epoch 31/1000
1s - loss: 0.0333 - mse: 28.9769 - val_loss: 0.0186 - val_mse: 16.2175
Epoch 32/1000
1s - loss: 0.0354 - mse: 30.7999 - val_loss: 0.0141 - val_mse: 12.3130
Epoch 33/1000
1s - loss: 0.0210 - mse: 18.2805 - val_loss: 0.0108 - val_mse: 9.3748
Epoch 34/1000
1s - loss: 0.0091 - mse: 7.8956 - val_loss: 0.0100 - val_mse: 8.6898
Epoch 35/1000
1s - loss: 0.0163 - mse: 14.2340 - val_loss: 0.0114 - val_mse: 9.9362
Epoch 36/1000
1s - loss: 0.0214 - mse: 18.6165 - val_loss: 0.0132 - val_mse: 11.4864
Epoch 37/1000
1s - loss: 0.0183 - mse: 15.9712 - val_loss: 0.0133 - val_mse: 11.6016
Epoch 38/1000
1s - loss: 0.0130 - mse: 11.2956 - val_loss: 0.0124 - val_mse: 10.8130
Epoch 39/1000
1s - loss: 0.0132 - mse: 11.5137 - val_loss: 0.0111 - val_mse: 9.6787
Epoch 40/1000
1s - loss: 0.0180 - mse: 15.6484 - val_loss: 0.0104 - val_mse: 9.0295
Epoch 41/1000

Epoch 00040: reducing learning rate to 0.00343000004068.
1s - loss: 0.0077 - mse: 6.7184 - val_loss: 0.0104 - val_mse: 9.0457
Epoch 42/1000
1s - loss: 0.0091 - mse: 7.9280 - val_loss: 0.0103 - val_mse: 8.9894
Epoch 43/1000
1s - loss: 0.0128 - mse: 11.1699 - val_loss: 0.0099 - val_mse: 8.6513
Epoch 44/1000
1s - loss: 0.0212 - mse: 18.4535 - val_loss: 0.0098 - val_mse: 8.5735
Epoch 45/1000
1s - loss: 0.0132 - mse: 11.4914 - val_loss: 0.0096 - val_mse: 8.3646
Epoch 46/1000
1s - loss: 0.0174 - mse: 15.1774 - val_loss: 0.0090 - val_mse: 7.8250
Epoch 47/1000
1s - loss: 0.0115 - mse: 9.9810 - val_loss: 0.0084 - val_mse: 7.3458
Epoch 48/1000
1s - loss: 0.0200 - mse: 17.4156 - val_loss: 0.0080 - val_mse: 6.9421
Epoch 49/1000
1s - loss: 0.0090 - mse: 7.8015 - val_loss: 0.0082 - val_mse: 7.1668
Epoch 50/1000
1s - loss: 0.0136 - mse: 11.8796 - val_loss: 0.0085 - val_mse: 7.4157
Epoch 51/1000
1s - loss: 0.0089 - mse: 7.7226 - val_loss: 0.0088 - val_mse: 7.6521
Epoch 52/1000
1s - loss: 0.0113 - mse: 9.8571 - val_loss: 0.0086 - val_mse: 7.4893
Epoch 53/1000
1s - loss: 0.0107 - mse: 9.3384 - val_loss: 0.0086 - val_mse: 7.4932
Epoch 54/1000
1s - loss: 0.0292 - mse: 25.3944 - val_loss: 0.0080 - val_mse: 6.9468
Epoch 55/1000

Epoch 00054: reducing learning rate to 0.00240100002848.
1s - loss: 0.0201 - mse: 17.5087 - val_loss: 0.0087 - val_mse: 7.5977
Epoch 56/1000
1s - loss: 0.0121 - mse: 10.5458 - val_loss: 0.0092 - val_mse: 7.9899
Epoch 57/1000
1s - loss: 0.0076 - mse: 6.5860 - val_loss: 0.0094 - val_mse: 8.2138
Epoch 58/1000
1s - loss: 0.0122 - mse: 10.6012 - val_loss: 0.0092 - val_mse: 8.0409
Epoch 59/1000
1s - loss: 0.0172 - mse: 14.9986 - val_loss: 0.0086 - val_mse: 7.5187
Epoch 60/1000
1s - loss: 0.0168 - mse: 14.6313 - val_loss: 0.0077 - val_mse: 6.7288
Epoch 61/1000
1s - loss: 0.0127 - mse: 11.0951 - val_loss: 0.0073 - val_mse: 6.3622
Epoch 62/1000
1s - loss: 0.0162 - mse: 14.1354 - val_loss: 0.0071 - val_mse: 6.2241
Epoch 63/1000
1s - loss: 0.0066 - mse: 5.7794 - val_loss: 0.0072 - val_mse: 6.2940
Epoch 64/1000
1s - loss: 0.0076 - mse: 6.5931 - val_loss: 0.0072 - val_mse: 6.3117
Epoch 65/1000
1s - loss: 0.0079 - mse: 6.8686 - val_loss: 0.0071 - val_mse: 6.2260
Epoch 66/1000
1s - loss: 0.0103 - mse: 8.9584 - val_loss: 0.0073 - val_mse: 6.3614
Epoch 67/1000
1s - loss: 0.0124 - mse: 10.8279 - val_loss: 0.0074 - val_mse: 6.4705
Epoch 68/1000
1s - loss: 0.0246 - mse: 21.4102 - val_loss: 0.0070 - val_mse: 6.1225
Epoch 69/1000
1s - loss: 0.0058 - mse: 5.0829 - val_loss: 0.0067 - val_mse: 5.8562
Epoch 70/1000
1s - loss: 0.0086 - mse: 7.4747 - val_loss: 0.0066 - val_mse: 5.7120
Epoch 71/1000
1s - loss: 0.0152 - mse: 13.2357 - val_loss: 0.0067 - val_mse: 5.8486
Epoch 72/1000
1s - loss: 0.0108 - mse: 9.4052 - val_loss: 0.0074 - val_mse: 6.4847
Epoch 73/1000
1s - loss: 0.0066 - mse: 5.7057 - val_loss: 0.0089 - val_mse: 7.7586
Epoch 74/1000
1s - loss: 0.0080 - mse: 7.0038 - val_loss: 0.0106 - val_mse: 9.2446
Epoch 75/1000

Epoch 00074: reducing learning rate to 0.00168070008513.
1s - loss: 0.0307 - mse: 26.7502 - val_loss: 0.0110 - val_mse: 9.6207
Epoch 76/1000
1s - loss: 0.0251 - mse: 21.8804 - val_loss: 0.0105 - val_mse: 9.1534
Epoch 77/1000
1s - loss: 0.0112 - mse: 9.7309 - val_loss: 0.0096 - val_mse: 8.3691
Epoch 78/1000
1s - loss: 0.0187 - mse: 16.3282 - val_loss: 0.0084 - val_mse: 7.2919
Epoch 79/1000
1s - loss: 0.0055 - mse: 4.7755 - val_loss: 0.0075 - val_mse: 6.5437
Epoch 80/1000
1s - loss: 0.0148 - mse: 12.9234 - val_loss: 0.0065 - val_mse: 5.6990
Epoch 81/1000
1s - loss: 0.0111 - mse: 9.6768 - val_loss: 0.0060 - val_mse: 5.2631
Epoch 82/1000
1s - loss: 0.0060 - mse: 5.2134 - val_loss: 0.0057 - val_mse: 4.9746
Epoch 83/1000
1s - loss: 0.0142 - mse: 12.3430 - val_loss: 0.0055 - val_mse: 4.8027
Epoch 84/1000
1s - loss: 0.0080 - mse: 7.0102 - val_loss: 0.0055 - val_mse: 4.7736
Epoch 85/1000
1s - loss: 0.0080 - mse: 6.9286 - val_loss: 0.0055 - val_mse: 4.7906
Epoch 86/1000
1s - loss: 0.0070 - mse: 6.1355 - val_loss: 0.0056 - val_mse: 4.9013
Epoch 87/1000
1s - loss: 0.0098 - mse: 8.5536 - val_loss: 0.0057 - val_mse: 4.9831
Epoch 88/1000
1s - loss: 0.0103 - mse: 8.9640 - val_loss: 0.0057 - val_mse: 4.9601
Epoch 89/1000

Epoch 00088: reducing learning rate to 0.00117649007589.
1s - loss: 0.0051 - mse: 4.4679 - val_loss: 0.0057 - val_mse: 4.9203
Epoch 90/1000
1s - loss: 0.0114 - mse: 9.9544 - val_loss: 0.0056 - val_mse: 4.8760
Epoch 91/1000
1s - loss: 0.0118 - mse: 10.3086 - val_loss: 0.0055 - val_mse: 4.8009
Epoch 92/1000
1s - loss: 0.0079 - mse: 6.9125 - val_loss: 0.0054 - val_mse: 4.7189
Epoch 93/1000
1s - loss: 0.0125 - mse: 10.9282 - val_loss: 0.0053 - val_mse: 4.6297
Epoch 94/1000
1s - loss: 0.0049 - mse: 4.2794 - val_loss: 0.0053 - val_mse: 4.5962
Epoch 95/1000
1s - loss: 0.0150 - mse: 13.0681 - val_loss: 0.0054 - val_mse: 4.6592
Epoch 96/1000
1s - loss: 0.0045 - mse: 3.9615 - val_loss: 0.0055 - val_mse: 4.7534
Epoch 97/1000
1s - loss: 0.0075 - mse: 6.5584 - val_loss: 0.0056 - val_mse: 4.8749
Epoch 98/1000
1s - loss: 0.0065 - mse: 5.6289 - val_loss: 0.0058 - val_mse: 5.0498
Epoch 99/1000
1s - loss: 0.0048 - mse: 4.1764 - val_loss: 0.0060 - val_mse: 5.2073
Epoch 100/1000
1s - loss: 0.0082 - mse: 7.1661 - val_loss: 0.0060 - val_mse: 5.2515
Epoch 101/1000
1s - loss: 0.0086 - mse: 7.5029 - val_loss: 0.0060 - val_mse: 5.1917
Epoch 102/1000
1s - loss: 0.0132 - mse: 11.5295 - val_loss: 0.0059 - val_mse: 5.1003
Epoch 103/1000

Epoch 00102: reducing learning rate to 0.000823543069419.
1s - loss: 0.0056 - mse: 4.9108 - val_loss: 0.0057 - val_mse: 5.0016
Epoch 104/1000
1s - loss: 0.0099 - mse: 8.6135 - val_loss: 0.0057 - val_mse: 4.9359
Epoch 105/1000
1s - loss: 0.0081 - mse: 7.0908 - val_loss: 0.0056 - val_mse: 4.8489
Epoch 106/1000
1s - loss: 0.0072 - mse: 6.2522 - val_loss: 0.0055 - val_mse: 4.7828
Epoch 107/1000
1s - loss: 0.0088 - mse: 7.6929 - val_loss: 0.0054 - val_mse: 4.7041
Epoch 108/1000
1s - loss: 0.0120 - mse: 10.4419 - val_loss: 0.0053 - val_mse: 4.6364
Epoch 109/1000
1s - loss: 0.0049 - mse: 4.2265 - val_loss: 0.0053 - val_mse: 4.6082
Epoch 110/1000
1s - loss: 0.0050 - mse: 4.3943 - val_loss: 0.0053 - val_mse: 4.5979
Epoch 111/1000
1s - loss: 0.0048 - mse: 4.1560 - val_loss: 0.0053 - val_mse: 4.6080
Epoch 112/1000
1s - loss: 0.0067 - mse: 5.8203 - val_loss: 0.0053 - val_mse: 4.6350
Epoch 113/1000
1s - loss: 0.0056 - mse: 4.8476 - val_loss: 0.0053 - val_mse: 4.6294
Epoch 114/1000
1s - loss: 0.0102 - mse: 8.8404 - val_loss: 0.0053 - val_mse: 4.5963
Epoch 115/1000
1s - loss: 0.0068 - mse: 5.9081 - val_loss: 0.0053 - val_mse: 4.6002
Epoch 116/1000
1s - loss: 0.0126 - mse: 10.9715 - val_loss: 0.0053 - val_mse: 4.5737
Epoch 117/1000
1s - loss: 0.0160 - mse: 13.9344 - val_loss: 0.0052 - val_mse: 4.5115
Epoch 118/1000
1s - loss: 0.0066 - mse: 5.7315 - val_loss: 0.0051 - val_mse: 4.4505
Epoch 119/1000
1s - loss: 0.0087 - mse: 7.5457 - val_loss: 0.0050 - val_mse: 4.3779
Epoch 120/1000
1s - loss: 0.0048 - mse: 4.2108 - val_loss: 0.0050 - val_mse: 4.3424
Epoch 121/1000
1s - loss: 0.0055 - mse: 4.7746 - val_loss: 0.0050 - val_mse: 4.3147
Epoch 122/1000
1s - loss: 0.0105 - mse: 9.1737 - val_loss: 0.0049 - val_mse: 4.2689
Epoch 123/1000
1s - loss: 0.0050 - mse: 4.3783 - val_loss: 0.0049 - val_mse: 4.2291
Epoch 124/1000
1s - loss: 0.0066 - mse: 5.7592 - val_loss: 0.0048 - val_mse: 4.2143
Epoch 125/1000
1s - loss: 0.0087 - mse: 7.5567 - val_loss: 0.0048 - val_mse: 4.1905
Epoch 126/1000
1s - loss: 0.0132 - mse: 11.4689 - val_loss: 0.0048 - val_mse: 4.1744
Epoch 127/1000
1s - loss: 0.0107 - mse: 9.2862 - val_loss: 0.0048 - val_mse: 4.1692
Epoch 128/1000
1s - loss: 0.0103 - mse: 8.9388 - val_loss: 0.0048 - val_mse: 4.1621
Epoch 129/1000
1s - loss: 0.0087 - mse: 7.5644 - val_loss: 0.0048 - val_mse: 4.1541
Epoch 130/1000
1s - loss: 0.0094 - mse: 8.1512 - val_loss: 0.0048 - val_mse: 4.1584
Epoch 131/1000

Epoch 00130: reducing learning rate to 0.000576480140444.
1s - loss: 0.0051 - mse: 4.4146 - val_loss: 0.0048 - val_mse: 4.1742
Epoch 132/1000
1s - loss: 0.0057 - mse: 4.9593 - val_loss: 0.0048 - val_mse: 4.1940
Epoch 133/1000
1s - loss: 0.0050 - mse: 4.3660 - val_loss: 0.0048 - val_mse: 4.2081
Epoch 134/1000
1s - loss: 0.0068 - mse: 5.9402 - val_loss: 0.0048 - val_mse: 4.2215
Epoch 135/1000
1s - loss: 0.0092 - mse: 8.0345 - val_loss: 0.0048 - val_mse: 4.2168
Epoch 136/1000
1s - loss: 0.0080 - mse: 6.9850 - val_loss: 0.0049 - val_mse: 4.2253
Epoch 137/1000
1s - loss: 0.0084 - mse: 7.3156 - val_loss: 0.0049 - val_mse: 4.2311
Epoch 138/1000
1s - loss: 0.0058 - mse: 5.0749 - val_loss: 0.0049 - val_mse: 4.2460
Epoch 139/1000
1s - loss: 0.0083 - mse: 7.2162 - val_loss: 0.0049 - val_mse: 4.2526
Epoch 140/1000
1s - loss: 0.0083 - mse: 7.2402 - val_loss: 0.0049 - val_mse: 4.2588
Epoch 141/1000
1s - loss: 0.0095 - mse: 8.2777 - val_loss: 0.0049 - val_mse: 4.2670
Epoch 142/1000
1s - loss: 0.0062 - mse: 5.4115 - val_loss: 0.0049 - val_mse: 4.2716
Epoch 143/1000
1s - loss: 0.0057 - mse: 4.9978 - val_loss: 0.0049 - val_mse: 4.2616
Epoch 144/1000
1s - loss: 0.0075 - mse: 6.5528 - val_loss: 0.0049 - val_mse: 4.2399
Epoch 145/1000

Epoch 00144: reducing learning rate to 0.000403536082013.
1s - loss: 0.0046 - mse: 3.9885 - val_loss: 0.0048 - val_mse: 4.2193
Epoch 146/1000
1s - loss: 0.0146 - mse: 12.6960 - val_loss: 0.0048 - val_mse: 4.2041
Epoch 147/1000
1s - loss: 0.0149 - mse: 13.0030 - val_loss: 0.0048 - val_mse: 4.1953
Epoch 148/1000
1s - loss: 0.0092 - mse: 8.0454 - val_loss: 0.0048 - val_mse: 4.1983
Epoch 149/1000
1s - loss: 0.0118 - mse: 10.2820 - val_loss: 0.0048 - val_mse: 4.2108
Epoch 150/1000
1s - loss: 0.0080 - mse: 6.9426 - val_loss: 0.0049 - val_mse: 4.2318
Epoch 151/1000
1s - loss: 0.0066 - mse: 5.7622 - val_loss: 0.0049 - val_mse: 4.2594
Epoch 152/1000
1s - loss: 0.0109 - mse: 9.4549 - val_loss: 0.0049 - val_mse: 4.2806
Epoch 153/1000
1s - loss: 0.0085 - mse: 7.4338 - val_loss: 0.0050 - val_mse: 4.3137
Epoch 154/1000
1s - loss: 0.0133 - mse: 11.5643 - val_loss: 0.0050 - val_mse: 4.3356
Epoch 155/1000
1s - loss: 0.0052 - mse: 4.5545 - val_loss: 0.0050 - val_mse: 4.3670
Epoch 156/1000
1s - loss: 0.0057 - mse: 4.9862 - val_loss: 0.0050 - val_mse: 4.3948
Epoch 157/1000
1s - loss: 0.0057 - mse: 4.9378 - val_loss: 0.0051 - val_mse: 4.4306
Epoch 158/1000
1s - loss: 0.0143 - mse: 12.4214 - val_loss: 0.0051 - val_mse: 4.4664
Epoch 159/1000

Epoch 00158: reducing learning rate to 0.000282475253334.
1s - loss: 0.0058 - mse: 5.0100 - val_loss: 0.0052 - val_mse: 4.5103
Epoch 160/1000
1s - loss: 0.0130 - mse: 11.2917 - val_loss: 0.0052 - val_mse: 4.5435
Epoch 161/1000
1s - loss: 0.0050 - mse: 4.3182 - val_loss: 0.0053 - val_mse: 4.5749
Epoch 162/1000
1s - loss: 0.0062 - mse: 5.4187 - val_loss: 0.0053 - val_mse: 4.5981
Epoch 163/1000
1s - loss: 0.0071 - mse: 6.1529 - val_loss: 0.0053 - val_mse: 4.6299
Epoch 164/1000
1s - loss: 0.0048 - mse: 4.1839 - val_loss: 0.0053 - val_mse: 4.6529
Epoch 165/1000
1s - loss: 0.0067 - mse: 5.8187 - val_loss: 0.0054 - val_mse: 4.6614
Epoch 166/1000
1s - loss: 0.0056 - mse: 4.8855 - val_loss: 0.0053 - val_mse: 4.6539
Epoch 167/1000
1s - loss: 0.0098 - mse: 8.5067 - val_loss: 0.0053 - val_mse: 4.6187
Epoch 168/1000
1s - loss: 0.0038 - mse: 3.3458 - val_loss: 0.0053 - val_mse: 4.5919
Epoch 169/1000
1s - loss: 0.0122 - mse: 10.6482 - val_loss: 0.0053 - val_mse: 4.5867
Epoch 170/1000
1s - loss: 0.0049 - mse: 4.2523 - val_loss: 0.0053 - val_mse: 4.5835
Epoch 171/1000
1s - loss: 0.0074 - mse: 6.4240 - val_loss: 0.0053 - val_mse: 4.5725
Epoch 172/1000
1s - loss: 0.0077 - mse: 6.7397 - val_loss: 0.0052 - val_mse: 4.5615
Epoch 173/1000

Epoch 00172: reducing learning rate to 0.000197732681409.
1s - loss: 0.0086 - mse: 7.4583 - val_loss: 0.0052 - val_mse: 4.5286
Epoch 174/1000
1s - loss: 0.0102 - mse: 8.9184 - val_loss: 0.0052 - val_mse: 4.4972
Epoch 175/1000
1s - loss: 0.0088 - mse: 7.6878 - val_loss: 0.0051 - val_mse: 4.4557
Epoch 176/1000
1s - loss: 0.0125 - mse: 10.8976 - val_loss: 0.0051 - val_mse: 4.4087
Epoch 177/1000
1s - loss: 0.0078 - mse: 6.7832 - val_loss: 0.0050 - val_mse: 4.3584
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}, {'loss': 0.012262199074029922, 'width0': 135, 'width1': 150, 'val_mse': 11.153453826904297, 'mse': 10.678401947021484, 'val_loss': 0.012807708233594894, 'dropout1': 0.10000000000000001, 'dropout0': 0}, {'loss': 0.016871752217411995, 'width0': 135, 'width1': 150, 'val_mse': 13.781032562255859, 'mse': 14.692578315734863, 'val_loss': 0.015825005248188972, 'dropout1': 0.20000000000000001, 'dropout0': 0}, {'loss': 0.0079014608636498451, 'width0': 135, 'width1': 150, 'val_mse': 6.7946681976318359, 'mse': 6.8809013366699219, 'val_loss': 0.0078024403192102909, 'dropout1': 0.30000000000000004, 'dropout0': 0}, {'loss': 0.0077892974950373173, 'width0': 135, 'width1': 150, 'val_mse': 4.3584160804748535, 'mse': 6.7832231521606445, 'val_loss': 0.0050048483535647392, 'dropout1': 0.40000000000000002, 'dropout0': 0}]
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_40 (LSTM)               (None, None, 135)         74520     
_________________________________________________________________
lstm_41 (LSTM)               (None, None, 150)         171600    
_________________________________________________________________
time_distributed_22 (TimeDis (None, None, 1)           151       
=================================================================
Total params: 246,271
Trainable params: 246,271
Non-trainable params: 0
_________________________________________________________________
Train on 1 samples, validate on 1 samples
Epoch 1/1000
2s - loss: 0.0104 - mse: 9.0597 - val_loss: 0.2979 - val_mse: 259.4381
Epoch 2/1000
1s - loss: 0.3539 - mse: 308.2012 - val_loss: 0.0630 - val_mse: 54.8601
Epoch 3/1000
1s - loss: 0.0638 - mse: 55.5423 - val_loss: 0.0634 - val_mse: 55.2524
Epoch 4/1000
1s - loss: 0.0499 - mse: 43.4372 - val_loss: 0.1100 - val_mse: 95.7903
Epoch 5/1000
1s - loss: 0.0839 - mse: 73.0413 - val_loss: 0.0859 - val_mse: 74.7839
Epoch 6/1000
1s - loss: 0.0726 - mse: 63.1871 - val_loss: 0.0446 - val_mse: 38.8184
Epoch 7/1000
1s - loss: 0.0991 - mse: 86.2778 - val_loss: 0.0469 - val_mse: 40.8733
Epoch 8/1000
1s - loss: 0.1460 - mse: 127.1755 - val_loss: 0.0299 - val_mse: 26.0714
Epoch 9/1000
1s - loss: 0.0260 - mse: 22.6031 - val_loss: 0.0256 - val_mse: 22.3159
Epoch 10/1000
1s - loss: 0.0218 - mse: 18.9519 - val_loss: 0.0356 - val_mse: 31.0283
Epoch 11/1000
1s - loss: 0.0484 - mse: 42.1291 - val_loss: 0.0238 - val_mse: 20.7241
Epoch 12/1000
1s - loss: 0.0194 - mse: 16.8813 - val_loss: 0.0252 - val_mse: 21.9118
Epoch 13/1000
1s - loss: 0.0187 - mse: 16.2669 - val_loss: 0.0271 - val_mse: 23.5656
Epoch 14/1000
1s - loss: 0.0198 - mse: 17.2446 - val_loss: 0.0261 - val_mse: 22.7511
Epoch 15/1000
1s - loss: 0.0323 - mse: 28.1092 - val_loss: 0.0218 - val_mse: 18.9587
Epoch 16/1000
1s - loss: 0.0478 - mse: 41.6465 - val_loss: 0.0239 - val_mse: 20.7929
Epoch 17/1000
1s - loss: 0.0252 - mse: 21.9472 - val_loss: 0.0315 - val_mse: 27.4376
Epoch 18/1000
1s - loss: 0.0442 - mse: 38.4643 - val_loss: 0.0245 - val_mse: 21.3437
Epoch 19/1000
1s - loss: 0.0277 - mse: 24.0896 - val_loss: 0.0246 - val_mse: 21.4519
Epoch 20/1000

Epoch 00019: reducing learning rate to 0.00699999984354.
3s - loss: 0.0251 - mse: 21.8595 - val_loss: 0.0323 - val_mse: 28.1328
Epoch 21/1000
1s - loss: 0.0309 - mse: 26.9472 - val_loss: 0.0361 - val_mse: 31.4091
Epoch 22/1000
1s - loss: 0.0381 - mse: 33.1732 - val_loss: 0.0306 - val_mse: 26.6765
Epoch 23/1000
1s - loss: 0.0192 - mse: 16.7380 - val_loss: 0.0221 - val_mse: 19.2023
Epoch 24/1000
1s - loss: 0.0217 - mse: 18.9299 - val_loss: 0.0148 - val_mse: 12.8662
Epoch 25/1000
1s - loss: 0.0170 - mse: 14.8079 - val_loss: 0.0148 - val_mse: 12.8939
Epoch 26/1000
1s - loss: 0.0136 - mse: 11.8598 - val_loss: 0.0241 - val_mse: 21.0264
Epoch 27/1000
1s - loss: 0.0230 - mse: 20.0259 - val_loss: 0.0285 - val_mse: 24.7944
Epoch 28/1000
1s - loss: 0.0395 - mse: 34.4102 - val_loss: 0.0245 - val_mse: 21.3770
Epoch 29/1000
1s - loss: 0.0224 - mse: 19.4996 - val_loss: 0.0176 - val_mse: 15.3327
Epoch 30/1000
1s - loss: 0.0471 - mse: 40.9988 - val_loss: 0.0159 - val_mse: 13.8649
Epoch 31/1000
1s - loss: 0.0415 - mse: 36.1646 - val_loss: 0.0134 - val_mse: 11.7091
Epoch 32/1000
1s - loss: 0.0330 - mse: 28.7197 - val_loss: 0.0169 - val_mse: 14.6984
Epoch 33/1000
1s - loss: 0.0250 - mse: 21.7506 - val_loss: 0.0199 - val_mse: 17.3207
Epoch 34/1000
1s - loss: 0.0318 - mse: 27.7016 - val_loss: 0.0186 - val_mse: 16.2405
Epoch 35/1000
1s - loss: 0.0166 - mse: 14.4512 - val_loss: 0.0196 - val_mse: 17.0674
Epoch 36/1000

Epoch 00035: reducing learning rate to 0.00489999982528.
1s - loss: 0.0309 - mse: 26.9096 - val_loss: 0.0168 - val_mse: 14.6408
Epoch 37/1000
1s - loss: 0.0210 - mse: 18.2606 - val_loss: 0.0145 - val_mse: 12.6204
Epoch 38/1000
1s - loss: 0.0161 - mse: 14.0313 - val_loss: 0.0129 - val_mse: 11.2299
Epoch 39/1000
1s - loss: 0.0176 - mse: 15.2862 - val_loss: 0.0115 - val_mse: 10.0302
Epoch 40/1000
1s - loss: 0.0194 - mse: 16.8835 - val_loss: 0.0110 - val_mse: 9.6150
Epoch 41/1000
1s - loss: 0.0223 - mse: 19.4144 - val_loss: 0.0137 - val_mse: 11.8916
Epoch 42/1000
1s - loss: 0.0259 - mse: 22.5163 - val_loss: 0.0153 - val_mse: 13.3187
Epoch 43/1000
1s - loss: 0.0171 - mse: 14.8861 - val_loss: 0.0156 - val_mse: 13.6248
Epoch 44/1000
1s - loss: 0.0188 - mse: 16.3583 - val_loss: 0.0142 - val_mse: 12.3376
Epoch 45/1000
1s - loss: 0.0156 - mse: 13.5826 - val_loss: 0.0120 - val_mse: 10.4151
Epoch 46/1000
1s - loss: 0.0198 - mse: 17.2433 - val_loss: 0.0101 - val_mse: 8.7945
Epoch 47/1000
1s - loss: 0.0214 - mse: 18.6699 - val_loss: 0.0090 - val_mse: 7.8200
Epoch 48/1000
1s - loss: 0.0112 - mse: 9.7570 - val_loss: 0.0095 - val_mse: 8.2779
Epoch 49/1000
1s - loss: 0.0186 - mse: 16.1920 - val_loss: 0.0109 - val_mse: 9.5245
Epoch 50/1000
1s - loss: 0.0147 - mse: 12.8088 - val_loss: 0.0121 - val_mse: 10.5382
Epoch 51/1000
1s - loss: 0.0156 - mse: 13.5641 - val_loss: 0.0122 - val_mse: 10.6189
Epoch 52/1000

Epoch 00051: reducing learning rate to 0.00343000004068.
1s - loss: 0.0151 - mse: 13.1204 - val_loss: 0.0115 - val_mse: 10.0219
Epoch 53/1000
1s - loss: 0.0108 - mse: 9.4226 - val_loss: 0.0106 - val_mse: 9.2646
Epoch 54/1000
1s - loss: 0.0146 - mse: 12.7480 - val_loss: 0.0097 - val_mse: 8.4667
Epoch 55/1000
1s - loss: 0.0142 - mse: 12.4041 - val_loss: 0.0088 - val_mse: 7.7025
Epoch 56/1000
1s - loss: 0.0111 - mse: 9.7047 - val_loss: 0.0083 - val_mse: 7.2533
Epoch 57/1000
1s - loss: 0.0096 - mse: 8.3618 - val_loss: 0.0082 - val_mse: 7.1325
Epoch 58/1000
1s - loss: 0.0113 - mse: 9.8295 - val_loss: 0.0082 - val_mse: 7.1840
Epoch 59/1000
1s - loss: 0.0098 - mse: 8.5071 - val_loss: 0.0087 - val_mse: 7.5882
Epoch 60/1000
1s - loss: 0.0179 - mse: 15.5527 - val_loss: 0.0102 - val_mse: 8.9231
Epoch 61/1000
1s - loss: 0.0108 - mse: 9.4167 - val_loss: 0.0117 - val_mse: 10.1930
Epoch 62/1000
1s - loss: 0.0255 - mse: 22.2141 - val_loss: 0.0117 - val_mse: 10.1738
Epoch 63/1000
1s - loss: 0.0219 - mse: 19.1077 - val_loss: 0.0110 - val_mse: 9.6210
Epoch 64/1000
1s - loss: 0.0098 - mse: 8.5565 - val_loss: 0.0103 - val_mse: 8.9597
Epoch 65/1000
1s - loss: 0.0178 - mse: 15.4676 - val_loss: 0.0090 - val_mse: 7.8339
Epoch 66/1000
1s - loss: 0.0114 - mse: 9.9099 - val_loss: 0.0078 - val_mse: 6.7652
Epoch 67/1000
1s - loss: 0.0090 - mse: 7.8593 - val_loss: 0.0072 - val_mse: 6.2388
Epoch 68/1000
1s - loss: 0.0088 - mse: 7.6216 - val_loss: 0.0069 - val_mse: 6.0142
Epoch 69/1000
1s - loss: 0.0110 - mse: 9.5910 - val_loss: 0.0072 - val_mse: 6.3129
Epoch 70/1000
1s - loss: 0.0075 - mse: 6.4983 - val_loss: 0.0075 - val_mse: 6.5395
Epoch 71/1000
1s - loss: 0.0114 - mse: 9.9142 - val_loss: 0.0083 - val_mse: 7.1979
Epoch 72/1000
1s - loss: 0.0224 - mse: 19.4813 - val_loss: 0.0095 - val_mse: 8.2665
Epoch 73/1000

Epoch 00072: reducing learning rate to 0.00240100002848.
1s - loss: 0.0103 - mse: 8.9466 - val_loss: 0.0102 - val_mse: 8.9090
Epoch 74/1000
1s - loss: 0.0182 - mse: 15.8649 - val_loss: 0.0099 - val_mse: 8.6511
Epoch 75/1000
1s - loss: 0.0086 - mse: 7.5025 - val_loss: 0.0094 - val_mse: 8.2036
Epoch 76/1000
1s - loss: 0.0172 - mse: 14.9649 - val_loss: 0.0096 - val_mse: 8.3954
Epoch 77/1000
1s - loss: 0.0174 - mse: 15.1602 - val_loss: 0.0091 - val_mse: 7.9024
Epoch 78/1000
1s - loss: 0.0113 - mse: 9.8112 - val_loss: 0.0083 - val_mse: 7.2636
Epoch 79/1000
1s - loss: 0.0092 - mse: 8.0151 - val_loss: 0.0077 - val_mse: 6.7340
Epoch 80/1000
1s - loss: 0.0104 - mse: 9.0232 - val_loss: 0.0075 - val_mse: 6.5691
Epoch 81/1000
1s - loss: 0.0119 - mse: 10.3360 - val_loss: 0.0073 - val_mse: 6.3588
Epoch 82/1000
1s - loss: 0.0140 - mse: 12.1717 - val_loss: 0.0069 - val_mse: 6.0189
Epoch 83/1000
1s - loss: 0.0089 - mse: 7.7494 - val_loss: 0.0067 - val_mse: 5.8076
Epoch 84/1000
1s - loss: 0.0111 - mse: 9.6692 - val_loss: 0.0064 - val_mse: 5.5565
Epoch 85/1000
1s - loss: 0.0087 - mse: 7.6091 - val_loss: 0.0063 - val_mse: 5.4446
Epoch 86/1000
1s - loss: 0.0092 - mse: 8.0469 - val_loss: 0.0063 - val_mse: 5.4676
Epoch 87/1000
1s - loss: 0.0068 - mse: 5.9592 - val_loss: 0.0066 - val_mse: 5.7339
Epoch 88/1000
1s - loss: 0.0108 - mse: 9.4382 - val_loss: 0.0071 - val_mse: 6.1455
Epoch 89/1000
1s - loss: 0.0155 - mse: 13.5162 - val_loss: 0.0074 - val_mse: 6.4578
Epoch 90/1000

Epoch 00089: reducing learning rate to 0.00168070008513.
1s - loss: 0.0088 - mse: 7.6953 - val_loss: 0.0076 - val_mse: 6.6429
Epoch 91/1000
1s - loss: 0.0101 - mse: 8.7795 - val_loss: 0.0076 - val_mse: 6.5942
Epoch 92/1000
1s - loss: 0.0220 - mse: 19.1478 - val_loss: 0.0073 - val_mse: 6.3654
Epoch 93/1000
1s - loss: 0.0092 - mse: 8.0069 - val_loss: 0.0070 - val_mse: 6.1271
Epoch 94/1000
1s - loss: 0.0145 - mse: 12.6292 - val_loss: 0.0068 - val_mse: 5.9431
Epoch 95/1000
1s - loss: 0.0099 - mse: 8.6367 - val_loss: 0.0066 - val_mse: 5.7306
Epoch 96/1000
1s - loss: 0.0070 - mse: 6.1210 - val_loss: 0.0064 - val_mse: 5.5930
Epoch 97/1000
1s - loss: 0.0157 - mse: 13.6447 - val_loss: 0.0063 - val_mse: 5.5270
Epoch 98/1000
1s - loss: 0.0071 - mse: 6.1568 - val_loss: 0.0064 - val_mse: 5.5459
Epoch 99/1000
1s - loss: 0.0221 - mse: 19.2199 - val_loss: 0.0063 - val_mse: 5.5247
Epoch 100/1000
1s - loss: 0.0128 - mse: 11.1145 - val_loss: 0.0065 - val_mse: 5.6428
Epoch 101/1000
1s - loss: 0.0062 - mse: 5.3931 - val_loss: 0.0067 - val_mse: 5.8579
Epoch 102/1000
1s - loss: 0.0092 - mse: 8.0371 - val_loss: 0.0070 - val_mse: 6.0794
Epoch 103/1000
1s - loss: 0.0120 - mse: 10.4932 - val_loss: 0.0074 - val_mse: 6.4263
Epoch 104/1000

Epoch 00103: reducing learning rate to 0.00117649007589.
1s - loss: 0.0147 - mse: 12.8392 - val_loss: 0.0076 - val_mse: 6.6403
Epoch 105/1000
1s - loss: 0.0135 - mse: 11.7851 - val_loss: 0.0075 - val_mse: 6.5403
Epoch 106/1000
1s - loss: 0.0087 - mse: 7.5917 - val_loss: 0.0073 - val_mse: 6.3416
Epoch 107/1000
1s - loss: 0.0054 - mse: 4.7288 - val_loss: 0.0070 - val_mse: 6.1123
Epoch 108/1000
1s - loss: 0.0047 - mse: 4.1229 - val_loss: 0.0067 - val_mse: 5.8776
Epoch 109/1000
1s - loss: 0.0074 - mse: 6.4810 - val_loss: 0.0066 - val_mse: 5.7134
Epoch 110/1000
1s - loss: 0.0101 - mse: 8.8282 - val_loss: 0.0064 - val_mse: 5.5359
Epoch 111/1000
1s - loss: 0.0086 - mse: 7.4550 - val_loss: 0.0061 - val_mse: 5.3099
Epoch 112/1000
1s - loss: 0.0105 - mse: 9.1645 - val_loss: 0.0058 - val_mse: 5.0542
Epoch 113/1000
1s - loss: 0.0135 - mse: 11.7918 - val_loss: 0.0055 - val_mse: 4.7952
Epoch 114/1000
1s - loss: 0.0098 - mse: 8.5760 - val_loss: 0.0053 - val_mse: 4.6113
Epoch 115/1000
1s - loss: 0.0056 - mse: 4.8509 - val_loss: 0.0052 - val_mse: 4.5181
Epoch 116/1000
1s - loss: 0.0070 - mse: 6.0984 - val_loss: 0.0051 - val_mse: 4.4226
Epoch 117/1000
1s - loss: 0.0095 - mse: 8.2452 - val_loss: 0.0049 - val_mse: 4.3026
Epoch 118/1000
1s - loss: 0.0194 - mse: 16.8735 - val_loss: 0.0048 - val_mse: 4.1788
Epoch 119/1000
1s - loss: 0.0076 - mse: 6.6052 - val_loss: 0.0047 - val_mse: 4.0868
Epoch 120/1000
1s - loss: 0.0065 - mse: 5.6523 - val_loss: 0.0046 - val_mse: 4.0347
Epoch 121/1000
1s - loss: 0.0069 - mse: 6.0249 - val_loss: 0.0046 - val_mse: 4.0036
Epoch 122/1000
1s - loss: 0.0085 - mse: 7.3826 - val_loss: 0.0046 - val_mse: 4.0034
Epoch 123/1000
1s - loss: 0.0101 - mse: 8.8049 - val_loss: 0.0046 - val_mse: 4.0189
Epoch 124/1000

Epoch 00123: reducing learning rate to 0.000823543069419.
1s - loss: 0.0068 - mse: 5.9617 - val_loss: 0.0046 - val_mse: 4.0428
Epoch 125/1000
1s - loss: 0.0095 - mse: 8.2919 - val_loss: 0.0047 - val_mse: 4.0698
Epoch 126/1000
1s - loss: 0.0050 - mse: 4.3931 - val_loss: 0.0047 - val_mse: 4.1030
Epoch 127/1000
1s - loss: 0.0115 - mse: 10.0344 - val_loss: 0.0047 - val_mse: 4.1150
Epoch 128/1000
1s - loss: 0.0063 - mse: 5.4656 - val_loss: 0.0048 - val_mse: 4.1442
Epoch 129/1000
1s - loss: 0.0142 - mse: 12.3470 - val_loss: 0.0047 - val_mse: 4.1284
Epoch 130/1000
1s - loss: 0.0094 - mse: 8.1556 - val_loss: 0.0047 - val_mse: 4.1108
Epoch 131/1000
1s - loss: 0.0090 - mse: 7.8049 - val_loss: 0.0047 - val_mse: 4.1057
Epoch 132/1000
1s - loss: 0.0056 - mse: 4.9026 - val_loss: 0.0047 - val_mse: 4.1048
Epoch 133/1000
1s - loss: 0.0184 - mse: 16.0500 - val_loss: 0.0047 - val_mse: 4.0997
Epoch 134/1000
1s - loss: 0.0115 - mse: 9.9964 - val_loss: 0.0047 - val_mse: 4.1207
Epoch 135/1000
1s - loss: 0.0127 - mse: 11.0984 - val_loss: 0.0047 - val_mse: 4.1353
Epoch 136/1000
1s - loss: 0.0245 - mse: 21.3637 - val_loss: 0.0048 - val_mse: 4.1365
Epoch 137/1000
1s - loss: 0.0048 - mse: 4.1953 - val_loss: 0.0048 - val_mse: 4.1437
Epoch 138/1000

Epoch 00137: reducing learning rate to 0.000576480140444.
1s - loss: 0.0115 - mse: 9.9785 - val_loss: 0.0048 - val_mse: 4.1780
Epoch 139/1000
1s - loss: 0.0091 - mse: 7.8980 - val_loss: 0.0048 - val_mse: 4.2089
Epoch 140/1000
1s - loss: 0.0104 - mse: 9.0328 - val_loss: 0.0048 - val_mse: 4.2198
Epoch 141/1000
1s - loss: 0.0058 - mse: 5.0448 - val_loss: 0.0049 - val_mse: 4.2372
Epoch 142/1000
1s - loss: 0.0062 - mse: 5.3758 - val_loss: 0.0049 - val_mse: 4.2451
Epoch 143/1000
1s - loss: 0.0073 - mse: 6.3627 - val_loss: 0.0049 - val_mse: 4.2395
Epoch 144/1000
1s - loss: 0.0043 - mse: 3.7712 - val_loss: 0.0049 - val_mse: 4.2363
Epoch 145/1000
1s - loss: 0.0239 - mse: 20.8517 - val_loss: 0.0049 - val_mse: 4.2572
Epoch 146/1000
1s - loss: 0.0132 - mse: 11.5047 - val_loss: 0.0049 - val_mse: 4.2987
Epoch 147/1000
1s - loss: 0.0105 - mse: 9.1486 - val_loss: 0.0050 - val_mse: 4.3294
Epoch 148/1000
1s - loss: 0.0121 - mse: 10.5611 - val_loss: 0.0050 - val_mse: 4.3365
Epoch 149/1000
1s - loss: 0.0051 - mse: 4.4083 - val_loss: 0.0050 - val_mse: 4.3454
Epoch 150/1000
1s - loss: 0.0110 - mse: 9.5965 - val_loss: 0.0050 - val_mse: 4.3679
Epoch 151/1000
1s - loss: 0.0102 - mse: 8.8633 - val_loss: 0.0050 - val_mse: 4.3794
Epoch 152/1000

Epoch 00151: reducing learning rate to 0.000403536082013.
1s - loss: 0.0061 - mse: 5.2904 - val_loss: 0.0051 - val_mse: 4.3986
Epoch 153/1000
1s - loss: 0.0140 - mse: 12.1538 - val_loss: 0.0050 - val_mse: 4.3936
Epoch 154/1000
1s - loss: 0.0090 - mse: 7.8745 - val_loss: 0.0051 - val_mse: 4.4112
Epoch 155/1000
1s - loss: 0.0103 - mse: 8.9266 - val_loss: 0.0051 - val_mse: 4.4211
Epoch 156/1000
1s - loss: 0.0119 - mse: 10.3766 - val_loss: 0.0051 - val_mse: 4.4319
Epoch 157/1000
1s - loss: 0.0088 - mse: 7.6797 - val_loss: 0.0051 - val_mse: 4.4396
Epoch 158/1000
1s - loss: 0.0069 - mse: 6.0294 - val_loss: 0.0051 - val_mse: 4.4328
Epoch 159/1000
1s - loss: 0.0084 - mse: 7.3045 - val_loss: 0.0051 - val_mse: 4.4231
Epoch 160/1000
1s - loss: 0.0056 - mse: 4.9117 - val_loss: 0.0051 - val_mse: 4.4047
Epoch 161/1000
1s - loss: 0.0088 - mse: 7.6552 - val_loss: 0.0051 - val_mse: 4.4038
Epoch 162/1000
1s - loss: 0.0177 - mse: 15.4302 - val_loss: 0.0051 - val_mse: 4.4238
Epoch 163/1000
1s - loss: 0.0139 - mse: 12.1216 - val_loss: 0.0051 - val_mse: 4.4242
Epoch 164/1000
1s - loss: 0.0060 - mse: 5.1960 - val_loss: 0.0051 - val_mse: 4.4413
Epoch 165/1000
1s - loss: 0.0162 - mse: 14.1468 - val_loss: 0.0051 - val_mse: 4.4194
Epoch 166/1000

Epoch 00165: reducing learning rate to 0.000282475253334.
1s - loss: 0.0051 - mse: 4.4375 - val_loss: 0.0051 - val_mse: 4.4081
Epoch 167/1000
1s - loss: 0.0073 - mse: 6.3922 - val_loss: 0.0050 - val_mse: 4.3899
Epoch 168/1000
1s - loss: 0.0072 - mse: 6.2866 - val_loss: 0.0050 - val_mse: 4.3722
Epoch 169/1000
1s - loss: 0.0103 - mse: 8.9291 - val_loss: 0.0050 - val_mse: 4.3637
Epoch 170/1000
1s - loss: 0.0063 - mse: 5.4721 - val_loss: 0.0050 - val_mse: 4.3569
[{'loss': 0.0070067006163299084, 'width0': 135, 'width1': 150, 'val_mse': 9.5660200119018555, 'mse': 6.101707935333252, 'val_loss': 0.010984830558300018, 'dropout1': 0.0, 'dropout0': 0}, {'loss': 0.012262199074029922, 'width0': 135, 'width1': 150, 'val_mse': 11.153453826904297, 'mse': 10.678401947021484, 'val_loss': 0.012807708233594894, 'dropout1': 0.10000000000000001, 'dropout0': 0}, {'loss': 0.016871752217411995, 'width0': 135, 'width1': 150, 'val_mse': 13.781032562255859, 'mse': 14.692578315734863, 'val_loss': 0.015825005248188972, 'dropout1': 0.20000000000000001, 'dropout0': 0}, {'loss': 0.0079014608636498451, 'width0': 135, 'width1': 150, 'val_mse': 6.7946681976318359, 'mse': 6.8809013366699219, 'val_loss': 0.0078024403192102909, 'dropout1': 0.30000000000000004, 'dropout0': 0}, {'loss': 0.0077892974950373173, 'width0': 135, 'width1': 150, 'val_mse': 4.3584160804748535, 'mse': 6.7832231521606445, 'val_loss': 0.0050048483535647392, 'dropout1': 0.40000000000000002, 'dropout0': 0}, {'loss': 0.006283740047365427, 'width0': 135, 'width1': 150, 'val_mse': 4.3569273948669434, 'mse': 5.4721245765686035, 'val_loss': 0.0050031379796564579, 'dropout1': 0.5, 'dropout0': 0}]



In [66]:

    
pd.DataFrame(dropout_perf).loc[:,['dropout1','mse','val_mse']].set_index('dropout1').plot()









    Out[66]:





<matplotlib.axes._subplots.AxesSubplot at 0x160b10a10>

no improvement....

5 - Model tuning

With the evaluation functions defined, we can start to create a predictive model

First naive model

Here we create a first model, a simple linear regression.



In [ ]:

    
linear_regression = Pipeline([
        ("lm", linear_model.LinearRegression())
    ])

The quality of our first naive model:

For reference, predicting y with the original features (thus only just the soi):



In [ ]:

    
print "num features:{}".format(X_orig.shape[1])
print "Scores (higher is better);"
print "cv train:\t{}".format(np.mean(cross_val_train(linear_regression, X_orig.loc[X_train.index,:], y_train, cv_count=10)))
print "cv test:\t{}".format(np.mean(cross_val(linear_regression, X_orig.loc[X_train.index,:], y_train, cv_count=10)))

Probably you do much better with your new set of features.



In [ ]:

    
print "num features:{}".format(X.shape[1])
print "Scores (higher is better);"
print "cv train:\t{}".format(np.mean(cross_val_train(linear_regression, X, y, cv_count=10)))
print "cv test:\t{}".format(np.mean(cross_val(linear_regression, X, y, cv_count=10)))

Choosing a different model

Feel free to select a different model, and see if you can increase the performance



In [ ]:

    
alternative = Pipeline([
        ("ridge", Ridge(alpha=1.0))
    ])
print "num features:\t{}".format(X.shape[1])
print "Scores (higher is better);"
print "cv train:\t{}".format(np.mean(cross_val_train(alternative, X_train, y_train, cv_count=10)))
print "cv test:\t{}".format(np.mean(cross_val(alternative, X_train, y_train, cv_count=10)))

Model tuning

6 - Selecting features

Not all features are actually equally usefull. With too many available features, most models will have problems distinguishing noise from signal. One way is to use regularization (as used above), the other is to actually remove useless features.

(partial) Autocorrelation

One classic way to determine usefull features is by looking at the autocorrelation, and partial autocorrelation.
The regular autocorrelation shows the correlation of the target variable recruit with the lagged versions. Thus this is done by correlating the recruit with just the 1 lagged version of recruit, and then repeated for different lags.
However, if lag 1 correlates, lag 2 will also correlate, because lag 2 is the 1 lagged version of lag 1.
Therefore the partial autocorrelation plot is more usefull, as it shows the correlation, corrected for the correlation with the other lags. It can be made by applying a linear regression of the target recruit with all lagged versions in 1 model, such that the individual coefficients indicate the individual marginal effect.



In [ ]:

    
fig = plt.figure(figsize=(12,8))
ax1 = fig.add_subplot(211)
fig = sm.graphics.plot_acf(y_orig.squeeze(), lags=40, ax=ax1)
ax2 = fig.add_subplot(212)
fig = sm.graphics.plot_pacf(y_orig.squeeze(), lags=40, ax=ax2)

This shows that mainly the first 2 lags of recruit are useful, the others are just noise. (The first one at x==0 reflects the correlation of recruit with itself)

7 - Final score on the test set

When you are done tuning and selection, it is time to evaluate the performance on a hold out set.

To easily print the same measurements for different configurations, we define a helper function here:

Here we multiply the model_score by -1 to get the score comparable to the previous cross validations
Note that the holdout test score will very likely be worse than the cv test score. One reason is that all meta params were selected to optimize that test score.



In [ ]:

    
def final_describe(model, train, test):
    """Evaluates a model on the final test set. For comparison, also (cv) measurements are given about the train set.
    model is the pandas pipeline that is evaluated
    train is the train dataset (with more/less features)
    test is the test dataset (with the same features as x_train)
    """
    # first some cross validation measurements
    print "cross validated (within train set)"
    print "cv train:\t{}".format(np.mean(cross_val_train(model, train, y_train, cv_count=10)))
    print "cv test:\t{}".format(np.mean(cross_val(model, train, y_train, cv_count=10)))
    # first fit the model on the FULL train set
    fit = model.fit(train, y_train)
    test_predictions = fit.predict(test)
    print 'full train:\t{}'.format(-model_score(y_train, fit.predict(train)))
    print "After fitting on full train set, evaluating on holdout set:"
    print 'Holdout test:\t{}'.format(-model_score(y_test, test_predictions))
    print 'Holdout r2:\t{}'.format(r2_score(y_test, test_predictions))

Conclusion

Best model on selected features



In [ ]:

    
model_best



In [ ]:

    
final_describe(model_best, X_sub_train, X_sub_test)



In [ ]:

    
fit = model_best.fit(X_sub_train, y_train)
test_predictions = fit.predict(X_sub_test)
result = pd.DataFrame({"y_pred":test_predictions, "y_real":y_test})
result.plot()

Best model on all features



In [ ]:

    
final_describe(model_best, X_train, X_test)

Alternative model on all features



In [ ]:

    
final_describe(alternative, X_train, X_test)

Initial (linear) model on all features



In [ ]:

    
final_describe(linear_regression, X_train, X_test)