In this notebook, we'll build a model that takes in a sequence of letters, and outputs a sorted version of that sequence. We'll do that using what we've learned so far about Sequence to Sequence models.
The dataset lives in the /data/ folder. At the moment, it is made up of the following files:
In [1]:
import helper
source_path = 'data/letters_source.txt'
target_path = 'data/letters_target.txt'
source_sentences = helper.load_data(source_path)
target_sentences = helper.load_data(target_path)
Let's start by examining the current state of the dataset. source_sentences contains the entire input sequence file as text delimited by newline symbols.
In [2]:
source_sentences[:50].split('\n')
Out[2]:
['bsaqq',
'npy',
'lbwuj',
'bqv',
'kial',
'tddam',
'edxpjpg',
'nspv',
'huloz',
'']
target_sentences contains the entire output sequence file as text delimited by newline symbols. Each line corresponds to the line from source_sentences. target_sentences contains a sorted characters of the line.
In [3]:
target_sentences[:50].split('\n')
Out[3]:
['abqqs',
'npy',
'bjluw',
'bqv',
'aikl',
'addmt',
'degjppx',
'npsv',
'hlouz',
'']
In [4]:
def extract_character_vocab(data):
special_words = ['<pad>', '<unk>', '<s>', '<\s>']
set_words = set([character for line in data.split('\n') for character in line])
int_to_vocab = {word_i: word for word_i, word in enumerate(special_words + list(set_words))}
vocab_to_int = {word: word_i for word_i, word in int_to_vocab.items()}
return int_to_vocab, vocab_to_int
# Build int2letter and letter2int dicts
source_int_to_letter, source_letter_to_int = extract_character_vocab(source_sentences)
target_int_to_letter, target_letter_to_int = extract_character_vocab(target_sentences)
# Convert characters to ids
source_letter_ids = [[source_letter_to_int.get(letter, source_letter_to_int['<unk>']) for letter in line] for line in source_sentences.split('\n')]
target_letter_ids = [[target_letter_to_int.get(letter, target_letter_to_int['<unk>']) for letter in line] for line in target_sentences.split('\n')]
print("Example source sequence")
print(source_letter_ids[:3])
print("\n")
print("Example target sequence")
print(target_letter_ids[:3])
Example source sequence
[[14, 23, 16, 10, 10], [8, 29, 21], [26, 14, 24, 17, 25]]
Example target sequence
[[16, 14, 10, 10, 23], [8, 29, 21], [14, 24, 26, 17, 25]]
The last step in the preprocessing stage is to determine the the longest sequence size in the dataset we'll be using, then pad all the sequences to that length.
In [5]:
def pad_id_sequences(source_ids, source_letter_to_int, target_ids, target_letter_to_int, sequence_length):
new_source_ids = [sentence + [source_letter_to_int['<pad>']] * (sequence_length - len(sentence)) \
for sentence in source_ids]
new_target_ids = [sentence + [target_letter_to_int['<pad>']] * (sequence_length - len(sentence)) \
for sentence in target_ids]
return new_source_ids, new_target_ids
# Use the longest sequence as sequence length
sequence_length = max(
[len(sentence) for sentence in source_letter_ids] + [len(sentence) for sentence in target_letter_ids])
# Pad all sequences up to sequence length
source_ids, target_ids = pad_id_sequences(source_letter_ids, source_letter_to_int,
target_letter_ids, target_letter_to_int, sequence_length)
print("Sequence Length")
print(sequence_length)
print("\n")
print("Input sequence example")
print(source_ids[:3])
print("\n")
print("Target sequence example")
print(target_ids[:3])
Sequence Length
7
Input sequence example
[[14, 23, 16, 10, 10, 0, 0], [8, 29, 21, 0, 0, 0, 0], [26, 14, 24, 17, 25, 0, 0]]
Target sequence example
[[16, 14, 10, 10, 23, 0, 0], [8, 29, 21, 0, 0, 0, 0], [14, 24, 26, 17, 25, 0, 0]]
This is the final shape we need them to be in. We can now proceed to building the model.
In [6]:
from distutils.version import LooseVersion
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer'
print('TensorFlow Version: {}'.format(tf.__version__))
TensorFlow Version: 1.0.0
In [7]:
# Number of Epochs
epochs = 60
# Batch Size
batch_size = 32
# RNN Size
rnn_size = 50
# Number of Layers
num_layers = 2
# Embedding Size
encoding_embedding_size = 13
decoding_embedding_size = 13
# Learning Rate
learning_rate = 0.001
In [8]:
input_data = tf.placeholder(tf.int32, [batch_size, sequence_length])
targets = tf.placeholder(tf.int32, [batch_size, sequence_length])
lr = tf.placeholder(tf.float32)
The decoder is probably the most complex part of this model. We need to declare a decoder for the training phase, and a decoder for the inference/prediction phase. These two decoders will share their parameters (so that all the weights and biases that are set during the training phase can be used when we deploy the model).
First, we'll need to define the type of cell we'll be using for our decoder RNNs. We opted for LSTM.
Then, we'll need to hookup a fully connected layer to the output of decoder. The output of this layer tells us which word the RNN is choosing to output at each time step.
Let's first look at the inference/prediction decoder. It is the one we'll use when we deploy our chatbot to the wild (even though it comes second in the actual code).
We'll hand our encoder hidden state to the inference decoder and have it process its output. TensorFlow handles most of the logic for us. We just have to use tf.contrib.seq2seq.simple_decoder_fn_inference and tf.contrib.seq2seq.dynamic_rnn_decoder and supply them with the appropriate inputs.
Notice that the inference decoder feeds the output of each time step as an input to the next.
As for the training decoder, we can think of it as looking like this:
The training decoder does not feed the output of each time step to the next. Rather, the inputs to the decoder time steps are the target sequence from the training dataset (the orange letters).
tf.contrib.layers.embed_sequence
In [9]:
source_vocab_size = len(source_letter_to_int)
# Encoder embedding
enc_embed_input = tf.contrib.layers.embed_sequence(input_data, source_vocab_size, encoding_embedding_size)
# Encoder
enc_cell = tf.contrib.rnn.MultiRNNCell([tf.contrib.rnn.BasicLSTMCell(rnn_size)] * num_layers)
_, enc_state = tf.nn.dynamic_rnn(enc_cell, enc_embed_input, dtype=tf.float32)
In [10]:
import numpy as np
# Process the input we'll feed to the decoder
ending = tf.strided_slice(targets, [0, 0], [batch_size, -1], [1, 1])
dec_input = tf.concat([tf.fill([batch_size, 1], target_letter_to_int['<s>']), ending], 1)
demonstration_outputs = np.reshape(range(batch_size * sequence_length), (batch_size, sequence_length))
sess = tf.InteractiveSession()
print("Targets")
print(demonstration_outputs[:2])
print("\n")
print("Processed Decoding Input")
print(sess.run(dec_input, {targets: demonstration_outputs})[:2])
Targets
[[ 0 1 2 3 4 5 6]
[ 7 8 9 10 11 12 13]]
Processed Decoding Input
[[ 2 0 1 2 3 4 5]
[ 2 7 8 9 10 11 12]]
In [11]:
target_vocab_size = len(target_letter_to_int)
# Decoder Embedding
dec_embeddings = tf.Variable(tf.random_uniform([target_vocab_size, decoding_embedding_size]))
dec_embed_input = tf.nn.embedding_lookup(dec_embeddings, dec_input)
# Decoder RNNs
dec_cell = tf.contrib.rnn.MultiRNNCell([tf.contrib.rnn.BasicLSTMCell(rnn_size)] * num_layers)
with tf.variable_scope("decoding") as decoding_scope:
# Output Layer
output_fn = lambda x: tf.contrib.layers.fully_connected(x, target_vocab_size, None, scope=decoding_scope)
tf.contrib.seq2seq.simple_decoder_fn_train and tf.contrib.seq2seq.dynamic_rnn_decoder.
In [12]:
with tf.variable_scope("decoding") as decoding_scope:
# Training Decoder
train_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_train(enc_state)
train_pred, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(
dec_cell, train_decoder_fn, dec_embed_input, sequence_length, scope=decoding_scope)
# Apply output function
train_logits = output_fn(train_pred)
tf.variable_scope("decoding", reuse=True)tf.contrib.seq2seq.simple_decoder_fn_inference and tf.contrib.seq2seq.dynamic_rnn_decoder.
In [13]:
with tf.variable_scope("decoding", reuse=True) as decoding_scope:
# Inference Decoder
infer_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_inference(
output_fn, enc_state, dec_embeddings, target_letter_to_int['<s>'], target_letter_to_int['<\s>'],
sequence_length - 1, target_vocab_size)
inference_logits, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(dec_cell, infer_decoder_fn, scope=decoding_scope)
Our loss function is tf.contrib.seq2seq.sequence_loss provided by the tensor flow seq2seq module. It calculates a weighted cross-entropy loss for the output logits.
In [14]:
# Loss function
cost = tf.contrib.seq2seq.sequence_loss(
train_logits,
targets,
tf.ones([batch_size, sequence_length]))
# Optimizer
optimizer = tf.train.AdamOptimizer(lr)
# Gradient Clipping
gradients = optimizer.compute_gradients(cost)
capped_gradients = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gradients if grad is not None]
train_op = optimizer.apply_gradients(capped_gradients)
In [15]:
import numpy as np
train_source = source_ids[batch_size:]
train_target = target_ids[batch_size:]
valid_source = source_ids[:batch_size]
valid_target = target_ids[:batch_size]
sess.run(tf.global_variables_initializer())
for epoch_i in range(epochs):
for batch_i, (source_batch, target_batch) in enumerate(
helper.batch_data(train_source, train_target, batch_size)):
_, loss = sess.run(
[train_op, cost],
{input_data: source_batch, targets: target_batch, lr: learning_rate})
batch_train_logits = sess.run(
inference_logits,
{input_data: source_batch})
batch_valid_logits = sess.run(
inference_logits,
{input_data: valid_source})
train_acc = np.mean(np.equal(target_batch, np.argmax(batch_train_logits, 2)))
valid_acc = np.mean(np.equal(valid_target, np.argmax(batch_valid_logits, 2)))
print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.3f}, Validation Accuracy: {:>6.3f}, Loss: {:>6.3f}'
.format(epoch_i, batch_i, len(source_ids) // batch_size, train_acc, valid_acc, loss))
Epoch 0 Batch 0/312 - Train Accuracy: 0.054, Validation Accuracy: 0.022, Loss: 3.413
Epoch 0 Batch 1/312 - Train Accuracy: 0.237, Validation Accuracy: 0.241, Loss: 3.386
Epoch 0 Batch 2/312 - Train Accuracy: 0.411, Validation Accuracy: 0.460, Loss: 3.366
Epoch 0 Batch 3/312 - Train Accuracy: 0.455, Validation Accuracy: 0.460, Loss: 3.335
Epoch 0 Batch 4/312 - Train Accuracy: 0.308, Validation Accuracy: 0.460, Loss: 3.338
Epoch 0 Batch 5/312 - Train Accuracy: 0.460, Validation Accuracy: 0.460, Loss: 3.282
Epoch 0 Batch 6/312 - Train Accuracy: 0.393, Validation Accuracy: 0.460, Loss: 3.269
Epoch 0 Batch 7/312 - Train Accuracy: 0.469, Validation Accuracy: 0.460, Loss: 3.201
Epoch 0 Batch 8/312 - Train Accuracy: 0.433, Validation Accuracy: 0.460, Loss: 3.186
Epoch 0 Batch 9/312 - Train Accuracy: 0.371, Validation Accuracy: 0.460, Loss: 3.177
Epoch 0 Batch 10/312 - Train Accuracy: 0.415, Validation Accuracy: 0.460, Loss: 3.106
Epoch 0 Batch 11/312 - Train Accuracy: 0.518, Validation Accuracy: 0.460, Loss: 2.964
Epoch 0 Batch 12/312 - Train Accuracy: 0.500, Validation Accuracy: 0.460, Loss: 2.911
Epoch 0 Batch 13/312 - Train Accuracy: 0.304, Validation Accuracy: 0.460, Loss: 3.051
Epoch 0 Batch 14/312 - Train Accuracy: 0.522, Validation Accuracy: 0.460, Loss: 2.681
Epoch 0 Batch 15/312 - Train Accuracy: 0.473, Validation Accuracy: 0.460, Loss: 2.672
Epoch 0 Batch 16/312 - Train Accuracy: 0.406, Validation Accuracy: 0.460, Loss: 2.666
Epoch 0 Batch 17/312 - Train Accuracy: 0.473, Validation Accuracy: 0.460, Loss: 2.455
Epoch 0 Batch 18/312 - Train Accuracy: 0.446, Validation Accuracy: 0.460, Loss: 2.429
Epoch 0 Batch 19/312 - Train Accuracy: 0.451, Validation Accuracy: 0.460, Loss: 2.337
Epoch 0 Batch 20/312 - Train Accuracy: 0.424, Validation Accuracy: 0.460, Loss: 2.370
Epoch 0 Batch 21/312 - Train Accuracy: 0.335, Validation Accuracy: 0.460, Loss: 2.657
Epoch 0 Batch 22/312 - Train Accuracy: 0.576, Validation Accuracy: 0.460, Loss: 1.846
Epoch 0 Batch 23/312 - Train Accuracy: 0.527, Validation Accuracy: 0.460, Loss: 1.991
Epoch 0 Batch 24/312 - Train Accuracy: 0.473, Validation Accuracy: 0.460, Loss: 2.246
Epoch 0 Batch 25/312 - Train Accuracy: 0.357, Validation Accuracy: 0.460, Loss: 2.768
Epoch 0 Batch 26/312 - Train Accuracy: 0.424, Validation Accuracy: 0.460, Loss: 2.455
Epoch 0 Batch 27/312 - Train Accuracy: 0.438, Validation Accuracy: 0.460, Loss: 2.366
Epoch 0 Batch 28/312 - Train Accuracy: 0.424, Validation Accuracy: 0.460, Loss: 2.426
Epoch 0 Batch 29/312 - Train Accuracy: 0.402, Validation Accuracy: 0.460, Loss: 2.513
Epoch 0 Batch 30/312 - Train Accuracy: 0.464, Validation Accuracy: 0.460, Loss: 2.263
Epoch 0 Batch 31/312 - Train Accuracy: 0.478, Validation Accuracy: 0.460, Loss: 2.190
Epoch 0 Batch 32/312 - Train Accuracy: 0.362, Validation Accuracy: 0.460, Loss: 2.603
Epoch 0 Batch 33/312 - Train Accuracy: 0.509, Validation Accuracy: 0.460, Loss: 2.022
Epoch 0 Batch 34/312 - Train Accuracy: 0.379, Validation Accuracy: 0.460, Loss: 2.463
Epoch 0 Batch 35/312 - Train Accuracy: 0.464, Validation Accuracy: 0.460, Loss: 2.179
Epoch 0 Batch 36/312 - Train Accuracy: 0.415, Validation Accuracy: 0.460, Loss: 2.300
Epoch 0 Batch 37/312 - Train Accuracy: 0.384, Validation Accuracy: 0.460, Loss: 2.434
Epoch 0 Batch 38/312 - Train Accuracy: 0.406, Validation Accuracy: 0.460, Loss: 2.318
Epoch 0 Batch 39/312 - Train Accuracy: 0.433, Validation Accuracy: 0.460, Loss: 2.235
Epoch 0 Batch 40/312 - Train Accuracy: 0.451, Validation Accuracy: 0.460, Loss: 2.182
Epoch 0 Batch 41/312 - Train Accuracy: 0.397, Validation Accuracy: 0.460, Loss: 2.387
Epoch 0 Batch 42/312 - Train Accuracy: 0.522, Validation Accuracy: 0.460, Loss: 1.981
Epoch 0 Batch 43/312 - Train Accuracy: 0.397, Validation Accuracy: 0.460, Loss: 2.340
Epoch 0 Batch 44/312 - Train Accuracy: 0.411, Validation Accuracy: 0.460, Loss: 2.306
Epoch 0 Batch 45/312 - Train Accuracy: 0.420, Validation Accuracy: 0.460, Loss: 2.257
Epoch 0 Batch 46/312 - Train Accuracy: 0.379, Validation Accuracy: 0.460, Loss: 2.373
Epoch 0 Batch 47/312 - Train Accuracy: 0.411, Validation Accuracy: 0.460, Loss: 2.279
Epoch 0 Batch 48/312 - Train Accuracy: 0.420, Validation Accuracy: 0.460, Loss: 2.216
Epoch 0 Batch 49/312 - Train Accuracy: 0.344, Validation Accuracy: 0.460, Loss: 2.462
Epoch 0 Batch 50/312 - Train Accuracy: 0.393, Validation Accuracy: 0.460, Loss: 2.285
Epoch 0 Batch 51/312 - Train Accuracy: 0.455, Validation Accuracy: 0.460, Loss: 2.103
Epoch 0 Batch 52/312 - Train Accuracy: 0.357, Validation Accuracy: 0.460, Loss: 2.406
Epoch 0 Batch 53/312 - Train Accuracy: 0.375, Validation Accuracy: 0.460, Loss: 2.346
Epoch 0 Batch 54/312 - Train Accuracy: 0.446, Validation Accuracy: 0.460, Loss: 2.072
Epoch 0 Batch 55/312 - Train Accuracy: 0.438, Validation Accuracy: 0.464, Loss: 2.124
Epoch 0 Batch 56/312 - Train Accuracy: 0.424, Validation Accuracy: 0.464, Loss: 2.172
Epoch 0 Batch 57/312 - Train Accuracy: 0.388, Validation Accuracy: 0.464, Loss: 2.266
Epoch 0 Batch 58/312 - Train Accuracy: 0.429, Validation Accuracy: 0.464, Loss: 2.144
Epoch 0 Batch 59/312 - Train Accuracy: 0.496, Validation Accuracy: 0.464, Loss: 1.889
Epoch 0 Batch 60/312 - Train Accuracy: 0.482, Validation Accuracy: 0.464, Loss: 1.928
Epoch 0 Batch 61/312 - Train Accuracy: 0.451, Validation Accuracy: 0.464, Loss: 2.082
Epoch 0 Batch 62/312 - Train Accuracy: 0.527, Validation Accuracy: 0.464, Loss: 1.766
Epoch 0 Batch 63/312 - Train Accuracy: 0.420, Validation Accuracy: 0.469, Loss: 2.164
Epoch 0 Batch 64/312 - Train Accuracy: 0.402, Validation Accuracy: 0.473, Loss: 2.197
Epoch 0 Batch 65/312 - Train Accuracy: 0.411, Validation Accuracy: 0.473, Loss: 2.196
Epoch 0 Batch 66/312 - Train Accuracy: 0.451, Validation Accuracy: 0.473, Loss: 2.023
Epoch 0 Batch 67/312 - Train Accuracy: 0.473, Validation Accuracy: 0.473, Loss: 1.968
Epoch 0 Batch 68/312 - Train Accuracy: 0.442, Validation Accuracy: 0.473, Loss: 2.042
Epoch 0 Batch 69/312 - Train Accuracy: 0.509, Validation Accuracy: 0.473, Loss: 1.820
Epoch 0 Batch 70/312 - Train Accuracy: 0.446, Validation Accuracy: 0.473, Loss: 2.031
Epoch 0 Batch 71/312 - Train Accuracy: 0.478, Validation Accuracy: 0.473, Loss: 1.954
Epoch 0 Batch 72/312 - Train Accuracy: 0.518, Validation Accuracy: 0.473, Loss: 1.818
Epoch 0 Batch 73/312 - Train Accuracy: 0.500, Validation Accuracy: 0.473, Loss: 1.804
Epoch 0 Batch 74/312 - Train Accuracy: 0.429, Validation Accuracy: 0.473, Loss: 2.031
Epoch 0 Batch 75/312 - Train Accuracy: 0.366, Validation Accuracy: 0.469, Loss: 2.237
Epoch 0 Batch 76/312 - Train Accuracy: 0.518, Validation Accuracy: 0.473, Loss: 1.784
Epoch 0 Batch 77/312 - Train Accuracy: 0.424, Validation Accuracy: 0.478, Loss: 2.030
Epoch 0 Batch 78/312 - Train Accuracy: 0.420, Validation Accuracy: 0.482, Loss: 2.079
Epoch 0 Batch 79/312 - Train Accuracy: 0.438, Validation Accuracy: 0.482, Loss: 2.051
Epoch 0 Batch 80/312 - Train Accuracy: 0.500, Validation Accuracy: 0.482, Loss: 1.848
Epoch 0 Batch 81/312 - Train Accuracy: 0.491, Validation Accuracy: 0.482, Loss: 1.902
Epoch 0 Batch 82/312 - Train Accuracy: 0.478, Validation Accuracy: 0.482, Loss: 1.928
Epoch 0 Batch 83/312 - Train Accuracy: 0.482, Validation Accuracy: 0.487, Loss: 1.909
Epoch 0 Batch 84/312 - Train Accuracy: 0.531, Validation Accuracy: 0.487, Loss: 1.758
Epoch 0 Batch 85/312 - Train Accuracy: 0.491, Validation Accuracy: 0.487, Loss: 1.805
Epoch 0 Batch 86/312 - Train Accuracy: 0.509, Validation Accuracy: 0.487, Loss: 1.766
Epoch 0 Batch 87/312 - Train Accuracy: 0.473, Validation Accuracy: 0.491, Loss: 1.875
Epoch 0 Batch 88/312 - Train Accuracy: 0.491, Validation Accuracy: 0.491, Loss: 1.881
Epoch 0 Batch 89/312 - Train Accuracy: 0.411, Validation Accuracy: 0.496, Loss: 2.118
Epoch 0 Batch 90/312 - Train Accuracy: 0.344, Validation Accuracy: 0.491, Loss: 2.315
Epoch 0 Batch 91/312 - Train Accuracy: 0.527, Validation Accuracy: 0.491, Loss: 1.641
Epoch 0 Batch 92/312 - Train Accuracy: 0.424, Validation Accuracy: 0.491, Loss: 2.030
Epoch 0 Batch 93/312 - Train Accuracy: 0.406, Validation Accuracy: 0.491, Loss: 2.122
Epoch 0 Batch 94/312 - Train Accuracy: 0.455, Validation Accuracy: 0.496, Loss: 1.899
Epoch 0 Batch 95/312 - Train Accuracy: 0.580, Validation Accuracy: 0.496, Loss: 1.510
Epoch 0 Batch 96/312 - Train Accuracy: 0.487, Validation Accuracy: 0.496, Loss: 1.843
Epoch 0 Batch 97/312 - Train Accuracy: 0.429, Validation Accuracy: 0.496, Loss: 1.963
Epoch 0 Batch 98/312 - Train Accuracy: 0.487, Validation Accuracy: 0.491, Loss: 1.748
Epoch 0 Batch 99/312 - Train Accuracy: 0.482, Validation Accuracy: 0.491, Loss: 1.773
Epoch 0 Batch 100/312 - Train Accuracy: 0.357, Validation Accuracy: 0.491, Loss: 2.214
Epoch 0 Batch 101/312 - Train Accuracy: 0.513, Validation Accuracy: 0.491, Loss: 1.673
Epoch 0 Batch 102/312 - Train Accuracy: 0.504, Validation Accuracy: 0.496, Loss: 1.732
Epoch 0 Batch 103/312 - Train Accuracy: 0.496, Validation Accuracy: 0.496, Loss: 1.728
Epoch 0 Batch 104/312 - Train Accuracy: 0.549, Validation Accuracy: 0.496, Loss: 1.615
Epoch 0 Batch 105/312 - Train Accuracy: 0.371, Validation Accuracy: 0.496, Loss: 2.119
Epoch 0 Batch 106/312 - Train Accuracy: 0.406, Validation Accuracy: 0.496, Loss: 2.044
Epoch 0 Batch 107/312 - Train Accuracy: 0.406, Validation Accuracy: 0.496, Loss: 2.061
Epoch 0 Batch 108/312 - Train Accuracy: 0.487, Validation Accuracy: 0.496, Loss: 1.713
Epoch 0 Batch 109/312 - Train Accuracy: 0.384, Validation Accuracy: 0.496, Loss: 2.092
Epoch 0 Batch 110/312 - Train Accuracy: 0.438, Validation Accuracy: 0.496, Loss: 1.856
Epoch 0 Batch 111/312 - Train Accuracy: 0.415, Validation Accuracy: 0.500, Loss: 2.047
Epoch 0 Batch 112/312 - Train Accuracy: 0.469, Validation Accuracy: 0.500, Loss: 1.872
Epoch 0 Batch 113/312 - Train Accuracy: 0.460, Validation Accuracy: 0.500, Loss: 1.837
Epoch 0 Batch 114/312 - Train Accuracy: 0.500, Validation Accuracy: 0.496, Loss: 1.686
Epoch 0 Batch 115/312 - Train Accuracy: 0.406, Validation Accuracy: 0.496, Loss: 1.954
Epoch 0 Batch 116/312 - Train Accuracy: 0.429, Validation Accuracy: 0.504, Loss: 1.956
Epoch 0 Batch 117/312 - Train Accuracy: 0.522, Validation Accuracy: 0.504, Loss: 1.628
Epoch 0 Batch 118/312 - Train Accuracy: 0.451, Validation Accuracy: 0.496, Loss: 1.844
Epoch 0 Batch 119/312 - Train Accuracy: 0.531, Validation Accuracy: 0.496, Loss: 1.577
Epoch 0 Batch 120/312 - Train Accuracy: 0.518, Validation Accuracy: 0.496, Loss: 1.605
Epoch 0 Batch 121/312 - Train Accuracy: 0.420, Validation Accuracy: 0.504, Loss: 1.978
Epoch 0 Batch 122/312 - Train Accuracy: 0.482, Validation Accuracy: 0.504, Loss: 1.728
Epoch 0 Batch 123/312 - Train Accuracy: 0.496, Validation Accuracy: 0.504, Loss: 1.665
Epoch 0 Batch 124/312 - Train Accuracy: 0.460, Validation Accuracy: 0.500, Loss: 1.749
Epoch 0 Batch 125/312 - Train Accuracy: 0.487, Validation Accuracy: 0.504, Loss: 1.664
Epoch 0 Batch 126/312 - Train Accuracy: 0.455, Validation Accuracy: 0.500, Loss: 1.834
Epoch 0 Batch 127/312 - Train Accuracy: 0.504, Validation Accuracy: 0.504, Loss: 1.599
Epoch 0 Batch 128/312 - Train Accuracy: 0.509, Validation Accuracy: 0.500, Loss: 1.595
Epoch 0 Batch 129/312 - Train Accuracy: 0.393, Validation Accuracy: 0.504, Loss: 1.940
Epoch 0 Batch 130/312 - Train Accuracy: 0.558, Validation Accuracy: 0.496, Loss: 1.449
Epoch 0 Batch 131/312 - Train Accuracy: 0.402, Validation Accuracy: 0.496, Loss: 1.978
Epoch 0 Batch 132/312 - Train Accuracy: 0.522, Validation Accuracy: 0.496, Loss: 1.634
Epoch 0 Batch 133/312 - Train Accuracy: 0.527, Validation Accuracy: 0.491, Loss: 1.520
Epoch 0 Batch 134/312 - Train Accuracy: 0.482, Validation Accuracy: 0.491, Loss: 1.735
Epoch 0 Batch 135/312 - Train Accuracy: 0.451, Validation Accuracy: 0.491, Loss: 1.766
Epoch 0 Batch 136/312 - Train Accuracy: 0.366, Validation Accuracy: 0.491, Loss: 2.027
Epoch 0 Batch 137/312 - Train Accuracy: 0.446, Validation Accuracy: 0.491, Loss: 1.738
Epoch 0 Batch 138/312 - Train Accuracy: 0.518, Validation Accuracy: 0.491, Loss: 1.603
Epoch 0 Batch 139/312 - Train Accuracy: 0.464, Validation Accuracy: 0.496, Loss: 1.758
Epoch 0 Batch 140/312 - Train Accuracy: 0.567, Validation Accuracy: 0.496, Loss: 1.381
Epoch 0 Batch 141/312 - Train Accuracy: 0.371, Validation Accuracy: 0.500, Loss: 2.020
Epoch 0 Batch 142/312 - Train Accuracy: 0.513, Validation Accuracy: 0.491, Loss: 1.570
Epoch 0 Batch 143/312 - Train Accuracy: 0.424, Validation Accuracy: 0.491, Loss: 1.847
Epoch 0 Batch 144/312 - Train Accuracy: 0.433, Validation Accuracy: 0.487, Loss: 1.751
Epoch 0 Batch 145/312 - Train Accuracy: 0.496, Validation Accuracy: 0.491, Loss: 1.584
Epoch 0 Batch 146/312 - Train Accuracy: 0.504, Validation Accuracy: 0.513, Loss: 1.578
Epoch 0 Batch 147/312 - Train Accuracy: 0.522, Validation Accuracy: 0.518, Loss: 1.633
Epoch 0 Batch 148/312 - Train Accuracy: 0.504, Validation Accuracy: 0.513, Loss: 1.620
Epoch 0 Batch 149/312 - Train Accuracy: 0.464, Validation Accuracy: 0.500, Loss: 1.716
Epoch 0 Batch 150/312 - Train Accuracy: 0.451, Validation Accuracy: 0.496, Loss: 1.780
Epoch 0 Batch 151/312 - Train Accuracy: 0.522, Validation Accuracy: 0.504, Loss: 1.527
Epoch 0 Batch 152/312 - Train Accuracy: 0.415, Validation Accuracy: 0.513, Loss: 1.781
Epoch 0 Batch 153/312 - Train Accuracy: 0.411, Validation Accuracy: 0.513, Loss: 1.827
Epoch 0 Batch 154/312 - Train Accuracy: 0.469, Validation Accuracy: 0.504, Loss: 1.635
Epoch 0 Batch 155/312 - Train Accuracy: 0.487, Validation Accuracy: 0.500, Loss: 1.595
Epoch 0 Batch 156/312 - Train Accuracy: 0.504, Validation Accuracy: 0.500, Loss: 1.616
Epoch 0 Batch 157/312 - Train Accuracy: 0.513, Validation Accuracy: 0.509, Loss: 1.636
Epoch 0 Batch 158/312 - Train Accuracy: 0.438, Validation Accuracy: 0.509, Loss: 1.769
Epoch 0 Batch 159/312 - Train Accuracy: 0.420, Validation Accuracy: 0.509, Loss: 1.808
Epoch 0 Batch 160/312 - Train Accuracy: 0.438, Validation Accuracy: 0.509, Loss: 1.797
Epoch 0 Batch 161/312 - Train Accuracy: 0.482, Validation Accuracy: 0.509, Loss: 1.684
Epoch 0 Batch 162/312 - Train Accuracy: 0.509, Validation Accuracy: 0.513, Loss: 1.592
Epoch 0 Batch 163/312 - Train Accuracy: 0.513, Validation Accuracy: 0.509, Loss: 1.582
Epoch 0 Batch 164/312 - Train Accuracy: 0.540, Validation Accuracy: 0.504, Loss: 1.480
Epoch 0 Batch 165/312 - Train Accuracy: 0.549, Validation Accuracy: 0.504, Loss: 1.471
Epoch 0 Batch 166/312 - Train Accuracy: 0.371, Validation Accuracy: 0.500, Loss: 1.925
Epoch 0 Batch 167/312 - Train Accuracy: 0.424, Validation Accuracy: 0.500, Loss: 1.767
Epoch 0 Batch 168/312 - Train Accuracy: 0.429, Validation Accuracy: 0.509, Loss: 1.738
Epoch 0 Batch 169/312 - Train Accuracy: 0.424, Validation Accuracy: 0.509, Loss: 1.725
Epoch 0 Batch 170/312 - Train Accuracy: 0.473, Validation Accuracy: 0.513, Loss: 1.618
Epoch 0 Batch 171/312 - Train Accuracy: 0.455, Validation Accuracy: 0.509, Loss: 1.684
Epoch 0 Batch 172/312 - Train Accuracy: 0.536, Validation Accuracy: 0.509, Loss: 1.490
Epoch 0 Batch 173/312 - Train Accuracy: 0.518, Validation Accuracy: 0.509, Loss: 1.542
Epoch 0 Batch 174/312 - Train Accuracy: 0.438, Validation Accuracy: 0.518, Loss: 1.649
Epoch 0 Batch 175/312 - Train Accuracy: 0.420, Validation Accuracy: 0.513, Loss: 1.788
Epoch 0 Batch 176/312 - Train Accuracy: 0.496, Validation Accuracy: 0.504, Loss: 1.585
Epoch 0 Batch 177/312 - Train Accuracy: 0.438, Validation Accuracy: 0.513, Loss: 1.735
Epoch 0 Batch 178/312 - Train Accuracy: 0.464, Validation Accuracy: 0.513, Loss: 1.706
Epoch 0 Batch 179/312 - Train Accuracy: 0.491, Validation Accuracy: 0.518, Loss: 1.644
Epoch 0 Batch 180/312 - Train Accuracy: 0.491, Validation Accuracy: 0.522, Loss: 1.659
Epoch 0 Batch 181/312 - Train Accuracy: 0.545, Validation Accuracy: 0.513, Loss: 1.472
Epoch 0 Batch 182/312 - Train Accuracy: 0.509, Validation Accuracy: 0.513, Loss: 1.495
Epoch 0 Batch 183/312 - Train Accuracy: 0.451, Validation Accuracy: 0.522, Loss: 1.670
Epoch 0 Batch 184/312 - Train Accuracy: 0.491, Validation Accuracy: 0.522, Loss: 1.610
Epoch 0 Batch 185/312 - Train Accuracy: 0.496, Validation Accuracy: 0.518, Loss: 1.466
Epoch 0 Batch 186/312 - Train Accuracy: 0.487, Validation Accuracy: 0.513, Loss: 1.517
Epoch 0 Batch 187/312 - Train Accuracy: 0.478, Validation Accuracy: 0.518, Loss: 1.523
Epoch 0 Batch 188/312 - Train Accuracy: 0.455, Validation Accuracy: 0.531, Loss: 1.645
Epoch 0 Batch 189/312 - Train Accuracy: 0.451, Validation Accuracy: 0.531, Loss: 1.690
Epoch 0 Batch 190/312 - Train Accuracy: 0.473, Validation Accuracy: 0.531, Loss: 1.609
Epoch 0 Batch 191/312 - Train Accuracy: 0.580, Validation Accuracy: 0.554, Loss: 1.333
Epoch 0 Batch 192/312 - Train Accuracy: 0.496, Validation Accuracy: 0.580, Loss: 1.578
Epoch 0 Batch 193/312 - Train Accuracy: 0.536, Validation Accuracy: 0.558, Loss: 1.456
Epoch 0 Batch 194/312 - Train Accuracy: 0.522, Validation Accuracy: 0.549, Loss: 1.485
Epoch 0 Batch 195/312 - Train Accuracy: 0.509, Validation Accuracy: 0.540, Loss: 1.524
Epoch 0 Batch 196/312 - Train Accuracy: 0.500, Validation Accuracy: 0.536, Loss: 1.541
Epoch 0 Batch 197/312 - Train Accuracy: 0.562, Validation Accuracy: 0.540, Loss: 1.341
Epoch 0 Batch 198/312 - Train Accuracy: 0.504, Validation Accuracy: 0.545, Loss: 1.448
Epoch 0 Batch 199/312 - Train Accuracy: 0.438, Validation Accuracy: 0.554, Loss: 1.692
Epoch 0 Batch 200/312 - Train Accuracy: 0.540, Validation Accuracy: 0.558, Loss: 1.428
Epoch 0 Batch 201/312 - Train Accuracy: 0.504, Validation Accuracy: 0.558, Loss: 1.581
Epoch 0 Batch 202/312 - Train Accuracy: 0.451, Validation Accuracy: 0.545, Loss: 1.682
Epoch 0 Batch 203/312 - Train Accuracy: 0.438, Validation Accuracy: 0.554, Loss: 1.679
Epoch 0 Batch 204/312 - Train Accuracy: 0.411, Validation Accuracy: 0.540, Loss: 1.708
Epoch 0 Batch 205/312 - Train Accuracy: 0.438, Validation Accuracy: 0.558, Loss: 1.756
Epoch 0 Batch 206/312 - Train Accuracy: 0.522, Validation Accuracy: 0.562, Loss: 1.496
Epoch 0 Batch 207/312 - Train Accuracy: 0.469, Validation Accuracy: 0.571, Loss: 1.627
Epoch 0 Batch 208/312 - Train Accuracy: 0.545, Validation Accuracy: 0.576, Loss: 1.375
Epoch 0 Batch 209/312 - Train Accuracy: 0.527, Validation Accuracy: 0.567, Loss: 1.465
Epoch 0 Batch 210/312 - Train Accuracy: 0.545, Validation Accuracy: 0.545, Loss: 1.439
Epoch 0 Batch 211/312 - Train Accuracy: 0.585, Validation Accuracy: 0.549, Loss: 1.271
Epoch 0 Batch 212/312 - Train Accuracy: 0.509, Validation Accuracy: 0.554, Loss: 1.450
Epoch 0 Batch 213/312 - Train Accuracy: 0.513, Validation Accuracy: 0.554, Loss: 1.490
Epoch 0 Batch 214/312 - Train Accuracy: 0.397, Validation Accuracy: 0.554, Loss: 1.757
Epoch 0 Batch 215/312 - Train Accuracy: 0.460, Validation Accuracy: 0.554, Loss: 1.596
Epoch 0 Batch 216/312 - Train Accuracy: 0.522, Validation Accuracy: 0.558, Loss: 1.486
Epoch 0 Batch 217/312 - Train Accuracy: 0.571, Validation Accuracy: 0.554, Loss: 1.352
Epoch 0 Batch 218/312 - Train Accuracy: 0.487, Validation Accuracy: 0.554, Loss: 1.549
Epoch 0 Batch 219/312 - Train Accuracy: 0.460, Validation Accuracy: 0.554, Loss: 1.632
Epoch 0 Batch 220/312 - Train Accuracy: 0.540, Validation Accuracy: 0.558, Loss: 1.427
Epoch 0 Batch 221/312 - Train Accuracy: 0.473, Validation Accuracy: 0.558, Loss: 1.587
Epoch 0 Batch 222/312 - Train Accuracy: 0.482, Validation Accuracy: 0.558, Loss: 1.496
Epoch 0 Batch 223/312 - Train Accuracy: 0.446, Validation Accuracy: 0.554, Loss: 1.627
Epoch 0 Batch 224/312 - Train Accuracy: 0.518, Validation Accuracy: 0.558, Loss: 1.501
Epoch 0 Batch 225/312 - Train Accuracy: 0.478, Validation Accuracy: 0.545, Loss: 1.575
Epoch 0 Batch 226/312 - Train Accuracy: 0.540, Validation Accuracy: 0.554, Loss: 1.396
Epoch 0 Batch 227/312 - Train Accuracy: 0.540, Validation Accuracy: 0.576, Loss: 1.395
Epoch 0 Batch 228/312 - Train Accuracy: 0.442, Validation Accuracy: 0.580, Loss: 1.545
Epoch 0 Batch 229/312 - Train Accuracy: 0.567, Validation Accuracy: 0.585, Loss: 1.427
Epoch 0 Batch 230/312 - Train Accuracy: 0.469, Validation Accuracy: 0.562, Loss: 1.589
Epoch 0 Batch 231/312 - Train Accuracy: 0.491, Validation Accuracy: 0.558, Loss: 1.523
Epoch 0 Batch 232/312 - Train Accuracy: 0.424, Validation Accuracy: 0.562, Loss: 1.699
Epoch 0 Batch 233/312 - Train Accuracy: 0.540, Validation Accuracy: 0.562, Loss: 1.406
Epoch 0 Batch 234/312 - Train Accuracy: 0.473, Validation Accuracy: 0.562, Loss: 1.489
Epoch 0 Batch 235/312 - Train Accuracy: 0.509, Validation Accuracy: 0.554, Loss: 1.510
Epoch 0 Batch 236/312 - Train Accuracy: 0.438, Validation Accuracy: 0.554, Loss: 1.643
Epoch 0 Batch 237/312 - Train Accuracy: 0.527, Validation Accuracy: 0.549, Loss: 1.400
Epoch 0 Batch 238/312 - Train Accuracy: 0.469, Validation Accuracy: 0.549, Loss: 1.630
Epoch 0 Batch 239/312 - Train Accuracy: 0.540, Validation Accuracy: 0.558, Loss: 1.398
Epoch 0 Batch 240/312 - Train Accuracy: 0.504, Validation Accuracy: 0.558, Loss: 1.471
Epoch 0 Batch 241/312 - Train Accuracy: 0.473, Validation Accuracy: 0.554, Loss: 1.612
Epoch 0 Batch 242/312 - Train Accuracy: 0.469, Validation Accuracy: 0.540, Loss: 1.541
Epoch 0 Batch 243/312 - Train Accuracy: 0.549, Validation Accuracy: 0.549, Loss: 1.361
Epoch 0 Batch 244/312 - Train Accuracy: 0.558, Validation Accuracy: 0.549, Loss: 1.310
Epoch 0 Batch 245/312 - Train Accuracy: 0.585, Validation Accuracy: 0.562, Loss: 1.303
Epoch 0 Batch 246/312 - Train Accuracy: 0.567, Validation Accuracy: 0.571, Loss: 1.282
Epoch 0 Batch 247/312 - Train Accuracy: 0.522, Validation Accuracy: 0.585, Loss: 1.432
Epoch 0 Batch 248/312 - Train Accuracy: 0.424, Validation Accuracy: 0.585, Loss: 1.633
Epoch 0 Batch 249/312 - Train Accuracy: 0.464, Validation Accuracy: 0.594, Loss: 1.512
Epoch 0 Batch 250/312 - Train Accuracy: 0.522, Validation Accuracy: 0.598, Loss: 1.397
Epoch 0 Batch 251/312 - Train Accuracy: 0.580, Validation Accuracy: 0.585, Loss: 1.319
Epoch 0 Batch 252/312 - Train Accuracy: 0.571, Validation Accuracy: 0.580, Loss: 1.393
Epoch 0 Batch 253/312 - Train Accuracy: 0.571, Validation Accuracy: 0.576, Loss: 1.360
Epoch 0 Batch 254/312 - Train Accuracy: 0.527, Validation Accuracy: 0.576, Loss: 1.458
Epoch 0 Batch 255/312 - Train Accuracy: 0.540, Validation Accuracy: 0.571, Loss: 1.348
Epoch 0 Batch 256/312 - Train Accuracy: 0.638, Validation Accuracy: 0.585, Loss: 1.184
Epoch 0 Batch 257/312 - Train Accuracy: 0.500, Validation Accuracy: 0.594, Loss: 1.402
Epoch 0 Batch 258/312 - Train Accuracy: 0.496, Validation Accuracy: 0.589, Loss: 1.489
Epoch 0 Batch 259/312 - Train Accuracy: 0.589, Validation Accuracy: 0.580, Loss: 1.230
Epoch 0 Batch 260/312 - Train Accuracy: 0.460, Validation Accuracy: 0.594, Loss: 1.614
Epoch 0 Batch 261/312 - Train Accuracy: 0.509, Validation Accuracy: 0.589, Loss: 1.444
Epoch 0 Batch 262/312 - Train Accuracy: 0.571, Validation Accuracy: 0.585, Loss: 1.274
Epoch 0 Batch 263/312 - Train Accuracy: 0.545, Validation Accuracy: 0.603, Loss: 1.278
Epoch 0 Batch 264/312 - Train Accuracy: 0.571, Validation Accuracy: 0.585, Loss: 1.285
Epoch 0 Batch 265/312 - Train Accuracy: 0.531, Validation Accuracy: 0.576, Loss: 1.429
Epoch 0 Batch 266/312 - Train Accuracy: 0.540, Validation Accuracy: 0.585, Loss: 1.352
Epoch 0 Batch 267/312 - Train Accuracy: 0.571, Validation Accuracy: 0.612, Loss: 1.296
Epoch 0 Batch 268/312 - Train Accuracy: 0.549, Validation Accuracy: 0.629, Loss: 1.349
Epoch 0 Batch 269/312 - Train Accuracy: 0.531, Validation Accuracy: 0.621, Loss: 1.352
Epoch 0 Batch 270/312 - Train Accuracy: 0.562, Validation Accuracy: 0.616, Loss: 1.316
Epoch 0 Batch 271/312 - Train Accuracy: 0.562, Validation Accuracy: 0.571, Loss: 1.416
Epoch 0 Batch 272/312 - Train Accuracy: 0.540, Validation Accuracy: 0.567, Loss: 1.449
Epoch 0 Batch 273/312 - Train Accuracy: 0.598, Validation Accuracy: 0.594, Loss: 1.204
Epoch 0 Batch 274/312 - Train Accuracy: 0.603, Validation Accuracy: 0.607, Loss: 1.197
Epoch 0 Batch 275/312 - Train Accuracy: 0.589, Validation Accuracy: 0.603, Loss: 1.294
Epoch 0 Batch 276/312 - Train Accuracy: 0.500, Validation Accuracy: 0.576, Loss: 1.542
Epoch 0 Batch 277/312 - Train Accuracy: 0.621, Validation Accuracy: 0.576, Loss: 1.212
Epoch 0 Batch 278/312 - Train Accuracy: 0.540, Validation Accuracy: 0.589, Loss: 1.489
Epoch 0 Batch 279/312 - Train Accuracy: 0.549, Validation Accuracy: 0.598, Loss: 1.385
Epoch 0 Batch 280/312 - Train Accuracy: 0.696, Validation Accuracy: 0.616, Loss: 1.040
Epoch 0 Batch 281/312 - Train Accuracy: 0.554, Validation Accuracy: 0.621, Loss: 1.357
Epoch 0 Batch 282/312 - Train Accuracy: 0.594, Validation Accuracy: 0.621, Loss: 1.212
Epoch 0 Batch 283/312 - Train Accuracy: 0.638, Validation Accuracy: 0.625, Loss: 1.205
Epoch 0 Batch 284/312 - Train Accuracy: 0.638, Validation Accuracy: 0.634, Loss: 1.129
Epoch 0 Batch 285/312 - Train Accuracy: 0.513, Validation Accuracy: 0.643, Loss: 1.432
Epoch 0 Batch 286/312 - Train Accuracy: 0.460, Validation Accuracy: 0.652, Loss: 1.607
Epoch 0 Batch 287/312 - Train Accuracy: 0.567, Validation Accuracy: 0.647, Loss: 1.318
Epoch 0 Batch 288/312 - Train Accuracy: 0.621, Validation Accuracy: 0.638, Loss: 1.179
Epoch 0 Batch 289/312 - Train Accuracy: 0.598, Validation Accuracy: 0.643, Loss: 1.343
Epoch 0 Batch 290/312 - Train Accuracy: 0.562, Validation Accuracy: 0.638, Loss: 1.352
Epoch 0 Batch 291/312 - Train Accuracy: 0.558, Validation Accuracy: 0.647, Loss: 1.400
Epoch 0 Batch 292/312 - Train Accuracy: 0.527, Validation Accuracy: 0.634, Loss: 1.425
Epoch 0 Batch 293/312 - Train Accuracy: 0.545, Validation Accuracy: 0.603, Loss: 1.271
Epoch 0 Batch 294/312 - Train Accuracy: 0.518, Validation Accuracy: 0.598, Loss: 1.440
Epoch 0 Batch 295/312 - Train Accuracy: 0.460, Validation Accuracy: 0.612, Loss: 1.517
Epoch 0 Batch 296/312 - Train Accuracy: 0.513, Validation Accuracy: 0.625, Loss: 1.546
Epoch 0 Batch 297/312 - Train Accuracy: 0.562, Validation Accuracy: 0.634, Loss: 1.383
Epoch 0 Batch 298/312 - Train Accuracy: 0.576, Validation Accuracy: 0.625, Loss: 1.399
Epoch 0 Batch 299/312 - Train Accuracy: 0.580, Validation Accuracy: 0.625, Loss: 1.262
Epoch 0 Batch 300/312 - Train Accuracy: 0.652, Validation Accuracy: 0.647, Loss: 1.167
Epoch 0 Batch 301/312 - Train Accuracy: 0.576, Validation Accuracy: 0.638, Loss: 1.300
Epoch 0 Batch 302/312 - Train Accuracy: 0.571, Validation Accuracy: 0.629, Loss: 1.406
Epoch 0 Batch 303/312 - Train Accuracy: 0.571, Validation Accuracy: 0.621, Loss: 1.317
Epoch 0 Batch 304/312 - Train Accuracy: 0.545, Validation Accuracy: 0.616, Loss: 1.343
Epoch 0 Batch 305/312 - Train Accuracy: 0.576, Validation Accuracy: 0.612, Loss: 1.271
Epoch 0 Batch 306/312 - Train Accuracy: 0.585, Validation Accuracy: 0.629, Loss: 1.278
Epoch 0 Batch 307/312 - Train Accuracy: 0.580, Validation Accuracy: 0.638, Loss: 1.353
Epoch 0 Batch 308/312 - Train Accuracy: 0.522, Validation Accuracy: 0.638, Loss: 1.477
Epoch 0 Batch 309/312 - Train Accuracy: 0.616, Validation Accuracy: 0.643, Loss: 1.153
Epoch 0 Batch 310/312 - Train Accuracy: 0.558, Validation Accuracy: 0.638, Loss: 1.352
Epoch 1 Batch 0/312 - Train Accuracy: 0.571, Validation Accuracy: 0.638, Loss: 1.258
Epoch 1 Batch 1/312 - Train Accuracy: 0.616, Validation Accuracy: 0.652, Loss: 1.159
Epoch 1 Batch 2/312 - Train Accuracy: 0.531, Validation Accuracy: 0.670, Loss: 1.345
Epoch 1 Batch 3/312 - Train Accuracy: 0.607, Validation Accuracy: 0.656, Loss: 1.198
Epoch 1 Batch 4/312 - Train Accuracy: 0.496, Validation Accuracy: 0.647, Loss: 1.535
Epoch 1 Batch 5/312 - Train Accuracy: 0.634, Validation Accuracy: 0.638, Loss: 1.158
Epoch 1 Batch 6/312 - Train Accuracy: 0.558, Validation Accuracy: 0.652, Loss: 1.371
Epoch 1 Batch 7/312 - Train Accuracy: 0.634, Validation Accuracy: 0.661, Loss: 1.171
Epoch 1 Batch 8/312 - Train Accuracy: 0.589, Validation Accuracy: 0.647, Loss: 1.237
Epoch 1 Batch 9/312 - Train Accuracy: 0.585, Validation Accuracy: 0.638, Loss: 1.362
Epoch 1 Batch 10/312 - Train Accuracy: 0.527, Validation Accuracy: 0.634, Loss: 1.359
Epoch 1 Batch 11/312 - Train Accuracy: 0.656, Validation Accuracy: 0.643, Loss: 1.063
Epoch 1 Batch 12/312 - Train Accuracy: 0.710, Validation Accuracy: 0.647, Loss: 1.077
Epoch 1 Batch 13/312 - Train Accuracy: 0.522, Validation Accuracy: 0.647, Loss: 1.524
Epoch 1 Batch 14/312 - Train Accuracy: 0.674, Validation Accuracy: 0.647, Loss: 1.042
Epoch 1 Batch 15/312 - Train Accuracy: 0.629, Validation Accuracy: 0.638, Loss: 1.121
Epoch 1 Batch 16/312 - Train Accuracy: 0.558, Validation Accuracy: 0.643, Loss: 1.316
Epoch 1 Batch 17/312 - Train Accuracy: 0.634, Validation Accuracy: 0.661, Loss: 1.142
Epoch 1 Batch 18/312 - Train Accuracy: 0.594, Validation Accuracy: 0.652, Loss: 1.214
Epoch 1 Batch 19/312 - Train Accuracy: 0.594, Validation Accuracy: 0.656, Loss: 1.212
Epoch 1 Batch 20/312 - Train Accuracy: 0.585, Validation Accuracy: 0.647, Loss: 1.227
Epoch 1 Batch 21/312 - Train Accuracy: 0.527, Validation Accuracy: 0.670, Loss: 1.438
Epoch 1 Batch 22/312 - Train Accuracy: 0.763, Validation Accuracy: 0.674, Loss: 0.904
Epoch 1 Batch 23/312 - Train Accuracy: 0.732, Validation Accuracy: 0.679, Loss: 0.980
Epoch 1 Batch 24/312 - Train Accuracy: 0.621, Validation Accuracy: 0.661, Loss: 1.135
Epoch 1 Batch 25/312 - Train Accuracy: 0.536, Validation Accuracy: 0.670, Loss: 1.360
Epoch 1 Batch 26/312 - Train Accuracy: 0.580, Validation Accuracy: 0.683, Loss: 1.244
Epoch 1 Batch 27/312 - Train Accuracy: 0.603, Validation Accuracy: 0.701, Loss: 1.191
Epoch 1 Batch 28/312 - Train Accuracy: 0.594, Validation Accuracy: 0.705, Loss: 1.222
Epoch 1 Batch 29/312 - Train Accuracy: 0.554, Validation Accuracy: 0.701, Loss: 1.318
Epoch 1 Batch 30/312 - Train Accuracy: 0.665, Validation Accuracy: 0.688, Loss: 1.085
Epoch 1 Batch 31/312 - Train Accuracy: 0.688, Validation Accuracy: 0.674, Loss: 1.095
Epoch 1 Batch 32/312 - Train Accuracy: 0.527, Validation Accuracy: 0.679, Loss: 1.383
Epoch 1 Batch 33/312 - Train Accuracy: 0.741, Validation Accuracy: 0.683, Loss: 1.001
Epoch 1 Batch 34/312 - Train Accuracy: 0.621, Validation Accuracy: 0.688, Loss: 1.249
Epoch 1 Batch 35/312 - Train Accuracy: 0.616, Validation Accuracy: 0.679, Loss: 1.091
Epoch 1 Batch 36/312 - Train Accuracy: 0.598, Validation Accuracy: 0.688, Loss: 1.263
Epoch 1 Batch 37/312 - Train Accuracy: 0.562, Validation Accuracy: 0.696, Loss: 1.323
Epoch 1 Batch 38/312 - Train Accuracy: 0.594, Validation Accuracy: 0.701, Loss: 1.267
Epoch 1 Batch 39/312 - Train Accuracy: 0.625, Validation Accuracy: 0.696, Loss: 1.145
Epoch 1 Batch 40/312 - Train Accuracy: 0.616, Validation Accuracy: 0.683, Loss: 1.163
Epoch 1 Batch 41/312 - Train Accuracy: 0.558, Validation Accuracy: 0.674, Loss: 1.315
Epoch 1 Batch 42/312 - Train Accuracy: 0.674, Validation Accuracy: 0.683, Loss: 1.010
Epoch 1 Batch 43/312 - Train Accuracy: 0.589, Validation Accuracy: 0.688, Loss: 1.263
Epoch 1 Batch 44/312 - Train Accuracy: 0.621, Validation Accuracy: 0.688, Loss: 1.183
Epoch 1 Batch 45/312 - Train Accuracy: 0.647, Validation Accuracy: 0.692, Loss: 1.189
Epoch 1 Batch 46/312 - Train Accuracy: 0.585, Validation Accuracy: 0.683, Loss: 1.289
Epoch 1 Batch 47/312 - Train Accuracy: 0.665, Validation Accuracy: 0.701, Loss: 1.152
Epoch 1 Batch 48/312 - Train Accuracy: 0.634, Validation Accuracy: 0.701, Loss: 1.191
Epoch 1 Batch 49/312 - Train Accuracy: 0.598, Validation Accuracy: 0.701, Loss: 1.343
Epoch 1 Batch 50/312 - Train Accuracy: 0.607, Validation Accuracy: 0.701, Loss: 1.248
Epoch 1 Batch 51/312 - Train Accuracy: 0.670, Validation Accuracy: 0.701, Loss: 1.114
Epoch 1 Batch 52/312 - Train Accuracy: 0.571, Validation Accuracy: 0.705, Loss: 1.287
Epoch 1 Batch 53/312 - Train Accuracy: 0.571, Validation Accuracy: 0.705, Loss: 1.285
Epoch 1 Batch 54/312 - Train Accuracy: 0.679, Validation Accuracy: 0.701, Loss: 1.094
Epoch 1 Batch 55/312 - Train Accuracy: 0.621, Validation Accuracy: 0.696, Loss: 1.171
Epoch 1 Batch 56/312 - Train Accuracy: 0.665, Validation Accuracy: 0.696, Loss: 1.161
Epoch 1 Batch 57/312 - Train Accuracy: 0.625, Validation Accuracy: 0.679, Loss: 1.229
Epoch 1 Batch 58/312 - Train Accuracy: 0.634, Validation Accuracy: 0.683, Loss: 1.164
Epoch 1 Batch 59/312 - Train Accuracy: 0.670, Validation Accuracy: 0.688, Loss: 1.004
Epoch 1 Batch 60/312 - Train Accuracy: 0.661, Validation Accuracy: 0.688, Loss: 0.999
Epoch 1 Batch 61/312 - Train Accuracy: 0.589, Validation Accuracy: 0.688, Loss: 1.183
Epoch 1 Batch 62/312 - Train Accuracy: 0.679, Validation Accuracy: 0.714, Loss: 0.976
Epoch 1 Batch 63/312 - Train Accuracy: 0.616, Validation Accuracy: 0.701, Loss: 1.204
Epoch 1 Batch 64/312 - Train Accuracy: 0.576, Validation Accuracy: 0.688, Loss: 1.267
Epoch 1 Batch 65/312 - Train Accuracy: 0.540, Validation Accuracy: 0.705, Loss: 1.277
Epoch 1 Batch 66/312 - Train Accuracy: 0.674, Validation Accuracy: 0.710, Loss: 1.058
Epoch 1 Batch 67/312 - Train Accuracy: 0.629, Validation Accuracy: 0.696, Loss: 1.073
Epoch 1 Batch 68/312 - Train Accuracy: 0.634, Validation Accuracy: 0.701, Loss: 1.100
Epoch 1 Batch 69/312 - Train Accuracy: 0.728, Validation Accuracy: 0.705, Loss: 0.977
Epoch 1 Batch 70/312 - Train Accuracy: 0.598, Validation Accuracy: 0.705, Loss: 1.178
Epoch 1 Batch 71/312 - Train Accuracy: 0.683, Validation Accuracy: 0.701, Loss: 1.029
Epoch 1 Batch 72/312 - Train Accuracy: 0.670, Validation Accuracy: 0.705, Loss: 1.023
Epoch 1 Batch 73/312 - Train Accuracy: 0.670, Validation Accuracy: 0.710, Loss: 0.989
Epoch 1 Batch 74/312 - Train Accuracy: 0.670, Validation Accuracy: 0.692, Loss: 1.126
Epoch 1 Batch 75/312 - Train Accuracy: 0.580, Validation Accuracy: 0.692, Loss: 1.238
Epoch 1 Batch 76/312 - Train Accuracy: 0.674, Validation Accuracy: 0.696, Loss: 1.034
Epoch 1 Batch 77/312 - Train Accuracy: 0.670, Validation Accuracy: 0.692, Loss: 1.103
Epoch 1 Batch 78/312 - Train Accuracy: 0.594, Validation Accuracy: 0.696, Loss: 1.172
Epoch 1 Batch 79/312 - Train Accuracy: 0.679, Validation Accuracy: 0.710, Loss: 1.134
Epoch 1 Batch 80/312 - Train Accuracy: 0.652, Validation Accuracy: 0.701, Loss: 0.989
Epoch 1 Batch 81/312 - Train Accuracy: 0.656, Validation Accuracy: 0.701, Loss: 1.035
Epoch 1 Batch 82/312 - Train Accuracy: 0.683, Validation Accuracy: 0.701, Loss: 1.039
Epoch 1 Batch 83/312 - Train Accuracy: 0.705, Validation Accuracy: 0.710, Loss: 1.023
Epoch 1 Batch 84/312 - Train Accuracy: 0.705, Validation Accuracy: 0.710, Loss: 0.946
Epoch 1 Batch 85/312 - Train Accuracy: 0.705, Validation Accuracy: 0.705, Loss: 0.979
Epoch 1 Batch 86/312 - Train Accuracy: 0.683, Validation Accuracy: 0.719, Loss: 0.968
Epoch 1 Batch 87/312 - Train Accuracy: 0.696, Validation Accuracy: 0.710, Loss: 0.998
Epoch 1 Batch 88/312 - Train Accuracy: 0.647, Validation Accuracy: 0.705, Loss: 1.021
Epoch 1 Batch 89/312 - Train Accuracy: 0.616, Validation Accuracy: 0.728, Loss: 1.204
Epoch 1 Batch 90/312 - Train Accuracy: 0.554, Validation Accuracy: 0.719, Loss: 1.360
Epoch 1 Batch 91/312 - Train Accuracy: 0.723, Validation Accuracy: 0.710, Loss: 0.885
Epoch 1 Batch 92/312 - Train Accuracy: 0.652, Validation Accuracy: 0.719, Loss: 1.127
Epoch 1 Batch 93/312 - Train Accuracy: 0.647, Validation Accuracy: 0.728, Loss: 1.171
Epoch 1 Batch 94/312 - Train Accuracy: 0.683, Validation Accuracy: 0.710, Loss: 1.004
Epoch 1 Batch 95/312 - Train Accuracy: 0.719, Validation Accuracy: 0.714, Loss: 0.828
Epoch 1 Batch 96/312 - Train Accuracy: 0.661, Validation Accuracy: 0.710, Loss: 1.031
Epoch 1 Batch 97/312 - Train Accuracy: 0.665, Validation Accuracy: 0.714, Loss: 1.123
Epoch 1 Batch 98/312 - Train Accuracy: 0.696, Validation Accuracy: 0.710, Loss: 0.963
Epoch 1 Batch 99/312 - Train Accuracy: 0.679, Validation Accuracy: 0.705, Loss: 0.989
Epoch 1 Batch 100/312 - Train Accuracy: 0.580, Validation Accuracy: 0.701, Loss: 1.276
Epoch 1 Batch 101/312 - Train Accuracy: 0.701, Validation Accuracy: 0.705, Loss: 0.950
Epoch 1 Batch 102/312 - Train Accuracy: 0.670, Validation Accuracy: 0.701, Loss: 0.977
Epoch 1 Batch 103/312 - Train Accuracy: 0.688, Validation Accuracy: 0.705, Loss: 0.923
Epoch 1 Batch 104/312 - Train Accuracy: 0.723, Validation Accuracy: 0.714, Loss: 0.878
Epoch 1 Batch 105/312 - Train Accuracy: 0.594, Validation Accuracy: 0.714, Loss: 1.179
Epoch 1 Batch 106/312 - Train Accuracy: 0.656, Validation Accuracy: 0.719, Loss: 1.150
Epoch 1 Batch 107/312 - Train Accuracy: 0.638, Validation Accuracy: 0.737, Loss: 1.223
Epoch 1 Batch 108/312 - Train Accuracy: 0.688, Validation Accuracy: 0.728, Loss: 0.941
Epoch 1 Batch 109/312 - Train Accuracy: 0.607, Validation Accuracy: 0.741, Loss: 1.263
Epoch 1 Batch 110/312 - Train Accuracy: 0.679, Validation Accuracy: 0.732, Loss: 1.032
Epoch 1 Batch 111/312 - Train Accuracy: 0.598, Validation Accuracy: 0.737, Loss: 1.193
Epoch 1 Batch 112/312 - Train Accuracy: 0.625, Validation Accuracy: 0.737, Loss: 1.178
Epoch 1 Batch 113/312 - Train Accuracy: 0.665, Validation Accuracy: 0.746, Loss: 1.069
Epoch 1 Batch 114/312 - Train Accuracy: 0.692, Validation Accuracy: 0.741, Loss: 0.989
Epoch 1 Batch 115/312 - Train Accuracy: 0.688, Validation Accuracy: 0.719, Loss: 1.100
Epoch 1 Batch 116/312 - Train Accuracy: 0.603, Validation Accuracy: 0.732, Loss: 1.161
Epoch 1 Batch 117/312 - Train Accuracy: 0.679, Validation Accuracy: 0.737, Loss: 0.950
Epoch 1 Batch 118/312 - Train Accuracy: 0.652, Validation Accuracy: 0.737, Loss: 1.102
Epoch 1 Batch 119/312 - Train Accuracy: 0.741, Validation Accuracy: 0.741, Loss: 0.910
Epoch 1 Batch 120/312 - Train Accuracy: 0.683, Validation Accuracy: 0.737, Loss: 0.926
Epoch 1 Batch 121/312 - Train Accuracy: 0.625, Validation Accuracy: 0.723, Loss: 1.218
Epoch 1 Batch 122/312 - Train Accuracy: 0.692, Validation Accuracy: 0.710, Loss: 1.038
Epoch 1 Batch 123/312 - Train Accuracy: 0.670, Validation Accuracy: 0.723, Loss: 0.985
Epoch 1 Batch 124/312 - Train Accuracy: 0.638, Validation Accuracy: 0.714, Loss: 1.039
Epoch 1 Batch 125/312 - Train Accuracy: 0.728, Validation Accuracy: 0.705, Loss: 0.893
Epoch 1 Batch 126/312 - Train Accuracy: 0.652, Validation Accuracy: 0.705, Loss: 1.113
Epoch 1 Batch 127/312 - Train Accuracy: 0.696, Validation Accuracy: 0.746, Loss: 0.921
Epoch 1 Batch 128/312 - Train Accuracy: 0.732, Validation Accuracy: 0.719, Loss: 0.893
Epoch 1 Batch 129/312 - Train Accuracy: 0.643, Validation Accuracy: 0.714, Loss: 1.151
Epoch 1 Batch 130/312 - Train Accuracy: 0.737, Validation Accuracy: 0.710, Loss: 0.820
Epoch 1 Batch 131/312 - Train Accuracy: 0.652, Validation Accuracy: 0.701, Loss: 1.162
Epoch 1 Batch 132/312 - Train Accuracy: 0.661, Validation Accuracy: 0.692, Loss: 1.015
Epoch 1 Batch 133/312 - Train Accuracy: 0.728, Validation Accuracy: 0.701, Loss: 0.884
Epoch 1 Batch 134/312 - Train Accuracy: 0.652, Validation Accuracy: 0.705, Loss: 1.053
Epoch 1 Batch 135/312 - Train Accuracy: 0.696, Validation Accuracy: 0.705, Loss: 1.035
Epoch 1 Batch 136/312 - Train Accuracy: 0.629, Validation Accuracy: 0.701, Loss: 1.193
Epoch 1 Batch 137/312 - Train Accuracy: 0.670, Validation Accuracy: 0.705, Loss: 0.978
Epoch 1 Batch 138/312 - Train Accuracy: 0.737, Validation Accuracy: 0.719, Loss: 0.910
Epoch 1 Batch 139/312 - Train Accuracy: 0.679, Validation Accuracy: 0.728, Loss: 1.041
Epoch 1 Batch 140/312 - Train Accuracy: 0.790, Validation Accuracy: 0.723, Loss: 0.770
Epoch 1 Batch 141/312 - Train Accuracy: 0.585, Validation Accuracy: 0.723, Loss: 1.248
Epoch 1 Batch 142/312 - Train Accuracy: 0.754, Validation Accuracy: 0.719, Loss: 0.887
Epoch 1 Batch 143/312 - Train Accuracy: 0.688, Validation Accuracy: 0.728, Loss: 1.051
Epoch 1 Batch 144/312 - Train Accuracy: 0.701, Validation Accuracy: 0.732, Loss: 0.992
Epoch 1 Batch 145/312 - Train Accuracy: 0.710, Validation Accuracy: 0.719, Loss: 0.931
Epoch 1 Batch 146/312 - Train Accuracy: 0.683, Validation Accuracy: 0.732, Loss: 0.967
Epoch 1 Batch 147/312 - Train Accuracy: 0.719, Validation Accuracy: 0.741, Loss: 0.974
Epoch 1 Batch 148/312 - Train Accuracy: 0.670, Validation Accuracy: 0.754, Loss: 1.014
Epoch 1 Batch 149/312 - Train Accuracy: 0.692, Validation Accuracy: 0.741, Loss: 1.040
Epoch 1 Batch 150/312 - Train Accuracy: 0.670, Validation Accuracy: 0.746, Loss: 1.080
Epoch 1 Batch 151/312 - Train Accuracy: 0.741, Validation Accuracy: 0.754, Loss: 0.901
Epoch 1 Batch 152/312 - Train Accuracy: 0.656, Validation Accuracy: 0.750, Loss: 1.092
Epoch 1 Batch 153/312 - Train Accuracy: 0.661, Validation Accuracy: 0.759, Loss: 1.076
Epoch 1 Batch 154/312 - Train Accuracy: 0.647, Validation Accuracy: 0.737, Loss: 0.981
Epoch 1 Batch 155/312 - Train Accuracy: 0.728, Validation Accuracy: 0.741, Loss: 0.893
Epoch 1 Batch 156/312 - Train Accuracy: 0.696, Validation Accuracy: 0.728, Loss: 0.960
Epoch 1 Batch 157/312 - Train Accuracy: 0.728, Validation Accuracy: 0.728, Loss: 0.947
Epoch 1 Batch 158/312 - Train Accuracy: 0.634, Validation Accuracy: 0.741, Loss: 1.083
Epoch 1 Batch 159/312 - Train Accuracy: 0.647, Validation Accuracy: 0.746, Loss: 1.104
Epoch 1 Batch 160/312 - Train Accuracy: 0.629, Validation Accuracy: 0.741, Loss: 1.085
Epoch 1 Batch 161/312 - Train Accuracy: 0.688, Validation Accuracy: 0.737, Loss: 1.026
Epoch 1 Batch 162/312 - Train Accuracy: 0.719, Validation Accuracy: 0.723, Loss: 0.923
Epoch 1 Batch 163/312 - Train Accuracy: 0.728, Validation Accuracy: 0.728, Loss: 0.897
Epoch 1 Batch 164/312 - Train Accuracy: 0.759, Validation Accuracy: 0.719, Loss: 0.818
Epoch 1 Batch 165/312 - Train Accuracy: 0.746, Validation Accuracy: 0.732, Loss: 0.827
Epoch 1 Batch 166/312 - Train Accuracy: 0.643, Validation Accuracy: 0.732, Loss: 1.185
Epoch 1 Batch 167/312 - Train Accuracy: 0.656, Validation Accuracy: 0.732, Loss: 1.032
Epoch 1 Batch 168/312 - Train Accuracy: 0.679, Validation Accuracy: 0.737, Loss: 1.045
Epoch 1 Batch 169/312 - Train Accuracy: 0.679, Validation Accuracy: 0.750, Loss: 1.034
Epoch 1 Batch 170/312 - Train Accuracy: 0.688, Validation Accuracy: 0.741, Loss: 0.945
Epoch 1 Batch 171/312 - Train Accuracy: 0.696, Validation Accuracy: 0.768, Loss: 1.016
Epoch 1 Batch 172/312 - Train Accuracy: 0.714, Validation Accuracy: 0.754, Loss: 0.900
Epoch 1 Batch 173/312 - Train Accuracy: 0.723, Validation Accuracy: 0.750, Loss: 0.891
Epoch 1 Batch 174/312 - Train Accuracy: 0.705, Validation Accuracy: 0.759, Loss: 0.984
Epoch 1 Batch 175/312 - Train Accuracy: 0.679, Validation Accuracy: 0.741, Loss: 1.052
Epoch 1 Batch 176/312 - Train Accuracy: 0.688, Validation Accuracy: 0.732, Loss: 0.966
Epoch 1 Batch 177/312 - Train Accuracy: 0.705, Validation Accuracy: 0.746, Loss: 1.074
Epoch 1 Batch 178/312 - Train Accuracy: 0.701, Validation Accuracy: 0.741, Loss: 0.995
Epoch 1 Batch 179/312 - Train Accuracy: 0.723, Validation Accuracy: 0.746, Loss: 0.989
Epoch 1 Batch 180/312 - Train Accuracy: 0.732, Validation Accuracy: 0.728, Loss: 0.962
Epoch 1 Batch 181/312 - Train Accuracy: 0.763, Validation Accuracy: 0.737, Loss: 0.827
Epoch 1 Batch 182/312 - Train Accuracy: 0.746, Validation Accuracy: 0.728, Loss: 0.865
Epoch 1 Batch 183/312 - Train Accuracy: 0.750, Validation Accuracy: 0.750, Loss: 0.946
Epoch 1 Batch 184/312 - Train Accuracy: 0.719, Validation Accuracy: 0.754, Loss: 0.916
Epoch 1 Batch 185/312 - Train Accuracy: 0.705, Validation Accuracy: 0.759, Loss: 0.933
Epoch 1 Batch 186/312 - Train Accuracy: 0.719, Validation Accuracy: 0.754, Loss: 0.893
Epoch 1 Batch 187/312 - Train Accuracy: 0.728, Validation Accuracy: 0.746, Loss: 0.861
Epoch 1 Batch 188/312 - Train Accuracy: 0.634, Validation Accuracy: 0.750, Loss: 1.070
Epoch 1 Batch 189/312 - Train Accuracy: 0.679, Validation Accuracy: 0.750, Loss: 0.990
Epoch 1 Batch 190/312 - Train Accuracy: 0.723, Validation Accuracy: 0.750, Loss: 0.933
Epoch 1 Batch 191/312 - Train Accuracy: 0.763, Validation Accuracy: 0.737, Loss: 0.766
Epoch 1 Batch 192/312 - Train Accuracy: 0.710, Validation Accuracy: 0.746, Loss: 0.941
Epoch 1 Batch 193/312 - Train Accuracy: 0.750, Validation Accuracy: 0.741, Loss: 0.830
Epoch 1 Batch 194/312 - Train Accuracy: 0.737, Validation Accuracy: 0.746, Loss: 0.870
Epoch 1 Batch 195/312 - Train Accuracy: 0.714, Validation Accuracy: 0.741, Loss: 0.884
Epoch 1 Batch 196/312 - Train Accuracy: 0.728, Validation Accuracy: 0.750, Loss: 0.894
Epoch 1 Batch 197/312 - Train Accuracy: 0.772, Validation Accuracy: 0.759, Loss: 0.772
Epoch 1 Batch 198/312 - Train Accuracy: 0.786, Validation Accuracy: 0.750, Loss: 0.830
Epoch 1 Batch 199/312 - Train Accuracy: 0.705, Validation Accuracy: 0.754, Loss: 1.011
Epoch 1 Batch 200/312 - Train Accuracy: 0.781, Validation Accuracy: 0.754, Loss: 0.772
Epoch 1 Batch 201/312 - Train Accuracy: 0.692, Validation Accuracy: 0.763, Loss: 0.937
Epoch 1 Batch 202/312 - Train Accuracy: 0.656, Validation Accuracy: 0.768, Loss: 1.040
Epoch 1 Batch 203/312 - Train Accuracy: 0.683, Validation Accuracy: 0.759, Loss: 1.026
Epoch 1 Batch 204/312 - Train Accuracy: 0.701, Validation Accuracy: 0.750, Loss: 0.989
Epoch 1 Batch 205/312 - Train Accuracy: 0.616, Validation Accuracy: 0.759, Loss: 1.155
Epoch 1 Batch 206/312 - Train Accuracy: 0.710, Validation Accuracy: 0.746, Loss: 0.976
Epoch 1 Batch 207/312 - Train Accuracy: 0.670, Validation Accuracy: 0.737, Loss: 0.948
Epoch 1 Batch 208/312 - Train Accuracy: 0.710, Validation Accuracy: 0.737, Loss: 0.820
Epoch 1 Batch 209/312 - Train Accuracy: 0.719, Validation Accuracy: 0.737, Loss: 0.886
Epoch 1 Batch 210/312 - Train Accuracy: 0.732, Validation Accuracy: 0.754, Loss: 0.849
Epoch 1 Batch 211/312 - Train Accuracy: 0.777, Validation Accuracy: 0.746, Loss: 0.763
Epoch 1 Batch 212/312 - Train Accuracy: 0.746, Validation Accuracy: 0.750, Loss: 0.799
Epoch 1 Batch 213/312 - Train Accuracy: 0.714, Validation Accuracy: 0.728, Loss: 0.922
Epoch 1 Batch 214/312 - Train Accuracy: 0.647, Validation Accuracy: 0.750, Loss: 1.080
Epoch 1 Batch 215/312 - Train Accuracy: 0.634, Validation Accuracy: 0.746, Loss: 1.005
Epoch 1 Batch 216/312 - Train Accuracy: 0.728, Validation Accuracy: 0.746, Loss: 0.895
Epoch 1 Batch 217/312 - Train Accuracy: 0.790, Validation Accuracy: 0.750, Loss: 0.742
Epoch 1 Batch 218/312 - Train Accuracy: 0.723, Validation Accuracy: 0.750, Loss: 0.895
Epoch 1 Batch 219/312 - Train Accuracy: 0.688, Validation Accuracy: 0.759, Loss: 1.001
Epoch 1 Batch 220/312 - Train Accuracy: 0.786, Validation Accuracy: 0.750, Loss: 0.830
Epoch 1 Batch 221/312 - Train Accuracy: 0.701, Validation Accuracy: 0.750, Loss: 0.984
Epoch 1 Batch 222/312 - Train Accuracy: 0.714, Validation Accuracy: 0.746, Loss: 0.897
Epoch 1 Batch 223/312 - Train Accuracy: 0.696, Validation Accuracy: 0.750, Loss: 0.980
Epoch 1 Batch 224/312 - Train Accuracy: 0.710, Validation Accuracy: 0.746, Loss: 0.926
Epoch 1 Batch 225/312 - Train Accuracy: 0.692, Validation Accuracy: 0.754, Loss: 0.997
Epoch 1 Batch 226/312 - Train Accuracy: 0.750, Validation Accuracy: 0.746, Loss: 0.828
Epoch 1 Batch 227/312 - Train Accuracy: 0.786, Validation Accuracy: 0.741, Loss: 0.797
Epoch 1 Batch 228/312 - Train Accuracy: 0.710, Validation Accuracy: 0.741, Loss: 0.976
Epoch 1 Batch 229/312 - Train Accuracy: 0.768, Validation Accuracy: 0.759, Loss: 0.790
Epoch 1 Batch 230/312 - Train Accuracy: 0.705, Validation Accuracy: 0.750, Loss: 0.902
Epoch 1 Batch 231/312 - Train Accuracy: 0.737, Validation Accuracy: 0.750, Loss: 0.897
Epoch 1 Batch 232/312 - Train Accuracy: 0.661, Validation Accuracy: 0.754, Loss: 1.029
Epoch 1 Batch 233/312 - Train Accuracy: 0.732, Validation Accuracy: 0.763, Loss: 0.844
Epoch 1 Batch 234/312 - Train Accuracy: 0.679, Validation Accuracy: 0.759, Loss: 0.893
Epoch 1 Batch 235/312 - Train Accuracy: 0.714, Validation Accuracy: 0.754, Loss: 0.895
Epoch 1 Batch 236/312 - Train Accuracy: 0.674, Validation Accuracy: 0.750, Loss: 1.009
Epoch 1 Batch 237/312 - Train Accuracy: 0.768, Validation Accuracy: 0.754, Loss: 0.802
Epoch 1 Batch 238/312 - Train Accuracy: 0.656, Validation Accuracy: 0.759, Loss: 1.054
Epoch 1 Batch 239/312 - Train Accuracy: 0.737, Validation Accuracy: 0.750, Loss: 0.811
Epoch 1 Batch 240/312 - Train Accuracy: 0.723, Validation Accuracy: 0.732, Loss: 0.882
Epoch 1 Batch 241/312 - Train Accuracy: 0.683, Validation Accuracy: 0.750, Loss: 1.046
Epoch 1 Batch 242/312 - Train Accuracy: 0.679, Validation Accuracy: 0.754, Loss: 0.965
Epoch 1 Batch 243/312 - Train Accuracy: 0.759, Validation Accuracy: 0.768, Loss: 0.776
Epoch 1 Batch 244/312 - Train Accuracy: 0.763, Validation Accuracy: 0.763, Loss: 0.774
Epoch 1 Batch 245/312 - Train Accuracy: 0.763, Validation Accuracy: 0.768, Loss: 0.778
Epoch 1 Batch 246/312 - Train Accuracy: 0.790, Validation Accuracy: 0.754, Loss: 0.730
Epoch 1 Batch 247/312 - Train Accuracy: 0.710, Validation Accuracy: 0.754, Loss: 0.896
Epoch 1 Batch 248/312 - Train Accuracy: 0.679, Validation Accuracy: 0.759, Loss: 1.015
Epoch 1 Batch 249/312 - Train Accuracy: 0.696, Validation Accuracy: 0.763, Loss: 0.953
Epoch 1 Batch 250/312 - Train Accuracy: 0.786, Validation Accuracy: 0.781, Loss: 0.777
Epoch 1 Batch 251/312 - Train Accuracy: 0.759, Validation Accuracy: 0.786, Loss: 0.803
Epoch 1 Batch 252/312 - Train Accuracy: 0.754, Validation Accuracy: 0.781, Loss: 0.826
Epoch 1 Batch 253/312 - Train Accuracy: 0.737, Validation Accuracy: 0.772, Loss: 0.842
Epoch 1 Batch 254/312 - Train Accuracy: 0.723, Validation Accuracy: 0.772, Loss: 0.913
Epoch 1 Batch 255/312 - Train Accuracy: 0.719, Validation Accuracy: 0.772, Loss: 0.824
Epoch 1 Batch 256/312 - Train Accuracy: 0.830, Validation Accuracy: 0.763, Loss: 0.637
Epoch 1 Batch 257/312 - Train Accuracy: 0.737, Validation Accuracy: 0.763, Loss: 0.816
Epoch 1 Batch 258/312 - Train Accuracy: 0.719, Validation Accuracy: 0.777, Loss: 0.910
Epoch 1 Batch 259/312 - Train Accuracy: 0.795, Validation Accuracy: 0.777, Loss: 0.691
Epoch 1 Batch 260/312 - Train Accuracy: 0.670, Validation Accuracy: 0.790, Loss: 0.984
Epoch 1 Batch 261/312 - Train Accuracy: 0.746, Validation Accuracy: 0.781, Loss: 0.866
Epoch 1 Batch 262/312 - Train Accuracy: 0.781, Validation Accuracy: 0.777, Loss: 0.714
Epoch 1 Batch 263/312 - Train Accuracy: 0.790, Validation Accuracy: 0.786, Loss: 0.730
Epoch 1 Batch 264/312 - Train Accuracy: 0.763, Validation Accuracy: 0.799, Loss: 0.747
Epoch 1 Batch 265/312 - Train Accuracy: 0.728, Validation Accuracy: 0.804, Loss: 0.886
Epoch 1 Batch 266/312 - Train Accuracy: 0.741, Validation Accuracy: 0.799, Loss: 0.799
Epoch 1 Batch 267/312 - Train Accuracy: 0.804, Validation Accuracy: 0.808, Loss: 0.729
Epoch 1 Batch 268/312 - Train Accuracy: 0.759, Validation Accuracy: 0.790, Loss: 0.780
Epoch 1 Batch 269/312 - Train Accuracy: 0.786, Validation Accuracy: 0.790, Loss: 0.795
Epoch 1 Batch 270/312 - Train Accuracy: 0.737, Validation Accuracy: 0.790, Loss: 0.783
Epoch 1 Batch 271/312 - Train Accuracy: 0.754, Validation Accuracy: 0.781, Loss: 0.823
Epoch 1 Batch 272/312 - Train Accuracy: 0.759, Validation Accuracy: 0.777, Loss: 0.864
Epoch 1 Batch 273/312 - Train Accuracy: 0.790, Validation Accuracy: 0.781, Loss: 0.684
Epoch 1 Batch 274/312 - Train Accuracy: 0.759, Validation Accuracy: 0.768, Loss: 0.713
Epoch 1 Batch 275/312 - Train Accuracy: 0.768, Validation Accuracy: 0.772, Loss: 0.756
Epoch 1 Batch 276/312 - Train Accuracy: 0.688, Validation Accuracy: 0.786, Loss: 0.949
Epoch 1 Batch 277/312 - Train Accuracy: 0.826, Validation Accuracy: 0.777, Loss: 0.652
Epoch 1 Batch 278/312 - Train Accuracy: 0.710, Validation Accuracy: 0.790, Loss: 0.952
Epoch 1 Batch 279/312 - Train Accuracy: 0.746, Validation Accuracy: 0.777, Loss: 0.783
Epoch 1 Batch 280/312 - Train Accuracy: 0.862, Validation Accuracy: 0.781, Loss: 0.544
Epoch 1 Batch 281/312 - Train Accuracy: 0.781, Validation Accuracy: 0.777, Loss: 0.770
Epoch 1 Batch 282/312 - Train Accuracy: 0.790, Validation Accuracy: 0.781, Loss: 0.711
Epoch 1 Batch 283/312 - Train Accuracy: 0.759, Validation Accuracy: 0.768, Loss: 0.756
Epoch 1 Batch 284/312 - Train Accuracy: 0.812, Validation Accuracy: 0.781, Loss: 0.592
Epoch 1 Batch 285/312 - Train Accuracy: 0.728, Validation Accuracy: 0.786, Loss: 0.929
Epoch 1 Batch 286/312 - Train Accuracy: 0.670, Validation Accuracy: 0.790, Loss: 0.995
Epoch 1 Batch 287/312 - Train Accuracy: 0.768, Validation Accuracy: 0.790, Loss: 0.763
Epoch 1 Batch 288/312 - Train Accuracy: 0.808, Validation Accuracy: 0.795, Loss: 0.703
Epoch 1 Batch 289/312 - Train Accuracy: 0.768, Validation Accuracy: 0.790, Loss: 0.762
Epoch 1 Batch 290/312 - Train Accuracy: 0.759, Validation Accuracy: 0.790, Loss: 0.807
Epoch 1 Batch 291/312 - Train Accuracy: 0.781, Validation Accuracy: 0.790, Loss: 0.782
Epoch 1 Batch 292/312 - Train Accuracy: 0.710, Validation Accuracy: 0.790, Loss: 0.874
Epoch 1 Batch 293/312 - Train Accuracy: 0.759, Validation Accuracy: 0.790, Loss: 0.778
Epoch 1 Batch 294/312 - Train Accuracy: 0.732, Validation Accuracy: 0.795, Loss: 0.848
Epoch 1 Batch 295/312 - Train Accuracy: 0.714, Validation Accuracy: 0.790, Loss: 0.944
Epoch 1 Batch 296/312 - Train Accuracy: 0.714, Validation Accuracy: 0.795, Loss: 0.919
Epoch 1 Batch 297/312 - Train Accuracy: 0.719, Validation Accuracy: 0.795, Loss: 0.834
Epoch 1 Batch 298/312 - Train Accuracy: 0.750, Validation Accuracy: 0.808, Loss: 0.862
Epoch 1 Batch 299/312 - Train Accuracy: 0.790, Validation Accuracy: 0.799, Loss: 0.742
Epoch 1 Batch 300/312 - Train Accuracy: 0.768, Validation Accuracy: 0.795, Loss: 0.691
Epoch 1 Batch 301/312 - Train Accuracy: 0.763, Validation Accuracy: 0.795, Loss: 0.796
Epoch 1 Batch 302/312 - Train Accuracy: 0.746, Validation Accuracy: 0.795, Loss: 0.857
Epoch 1 Batch 303/312 - Train Accuracy: 0.737, Validation Accuracy: 0.781, Loss: 0.800
Epoch 1 Batch 304/312 - Train Accuracy: 0.754, Validation Accuracy: 0.804, Loss: 0.795
Epoch 1 Batch 305/312 - Train Accuracy: 0.759, Validation Accuracy: 0.799, Loss: 0.743
Epoch 1 Batch 306/312 - Train Accuracy: 0.772, Validation Accuracy: 0.799, Loss: 0.770
Epoch 1 Batch 307/312 - Train Accuracy: 0.737, Validation Accuracy: 0.790, Loss: 0.832
Epoch 1 Batch 308/312 - Train Accuracy: 0.768, Validation Accuracy: 0.786, Loss: 0.870
Epoch 1 Batch 309/312 - Train Accuracy: 0.786, Validation Accuracy: 0.777, Loss: 0.682
Epoch 1 Batch 310/312 - Train Accuracy: 0.777, Validation Accuracy: 0.777, Loss: 0.798
Epoch 2 Batch 0/312 - Train Accuracy: 0.759, Validation Accuracy: 0.786, Loss: 0.771
Epoch 2 Batch 1/312 - Train Accuracy: 0.844, Validation Accuracy: 0.795, Loss: 0.619
Epoch 2 Batch 2/312 - Train Accuracy: 0.737, Validation Accuracy: 0.786, Loss: 0.816
Epoch 2 Batch 3/312 - Train Accuracy: 0.790, Validation Accuracy: 0.786, Loss: 0.684
Epoch 2 Batch 4/312 - Train Accuracy: 0.746, Validation Accuracy: 0.786, Loss: 0.941
Epoch 2 Batch 5/312 - Train Accuracy: 0.768, Validation Accuracy: 0.781, Loss: 0.710
Epoch 2 Batch 6/312 - Train Accuracy: 0.772, Validation Accuracy: 0.781, Loss: 0.812
Epoch 2 Batch 7/312 - Train Accuracy: 0.830, Validation Accuracy: 0.795, Loss: 0.663
Epoch 2 Batch 8/312 - Train Accuracy: 0.741, Validation Accuracy: 0.799, Loss: 0.797
Epoch 2 Batch 9/312 - Train Accuracy: 0.759, Validation Accuracy: 0.799, Loss: 0.838
Epoch 2 Batch 10/312 - Train Accuracy: 0.741, Validation Accuracy: 0.808, Loss: 0.778
Epoch 2 Batch 11/312 - Train Accuracy: 0.817, Validation Accuracy: 0.808, Loss: 0.610
Epoch 2 Batch 12/312 - Train Accuracy: 0.857, Validation Accuracy: 0.799, Loss: 0.617
Epoch 2 Batch 13/312 - Train Accuracy: 0.710, Validation Accuracy: 0.804, Loss: 0.953
Epoch 2 Batch 14/312 - Train Accuracy: 0.821, Validation Accuracy: 0.804, Loss: 0.611
Epoch 2 Batch 15/312 - Train Accuracy: 0.772, Validation Accuracy: 0.804, Loss: 0.691
Epoch 2 Batch 16/312 - Train Accuracy: 0.768, Validation Accuracy: 0.804, Loss: 0.800
Epoch 2 Batch 17/312 - Train Accuracy: 0.808, Validation Accuracy: 0.799, Loss: 0.674
Epoch 2 Batch 18/312 - Train Accuracy: 0.737, Validation Accuracy: 0.795, Loss: 0.764
Epoch 2 Batch 19/312 - Train Accuracy: 0.781, Validation Accuracy: 0.804, Loss: 0.712
Epoch 2 Batch 20/312 - Train Accuracy: 0.772, Validation Accuracy: 0.804, Loss: 0.757
Epoch 2 Batch 21/312 - Train Accuracy: 0.746, Validation Accuracy: 0.812, Loss: 0.871
Epoch 2 Batch 22/312 - Train Accuracy: 0.862, Validation Accuracy: 0.821, Loss: 0.497
Epoch 2 Batch 23/312 - Train Accuracy: 0.839, Validation Accuracy: 0.821, Loss: 0.555
Epoch 2 Batch 24/312 - Train Accuracy: 0.795, Validation Accuracy: 0.826, Loss: 0.678
Epoch 2 Batch 25/312 - Train Accuracy: 0.737, Validation Accuracy: 0.817, Loss: 0.820
Epoch 2 Batch 26/312 - Train Accuracy: 0.799, Validation Accuracy: 0.821, Loss: 0.755
Epoch 2 Batch 27/312 - Train Accuracy: 0.754, Validation Accuracy: 0.826, Loss: 0.721
Epoch 2 Batch 28/312 - Train Accuracy: 0.768, Validation Accuracy: 0.817, Loss: 0.762
Epoch 2 Batch 29/312 - Train Accuracy: 0.719, Validation Accuracy: 0.812, Loss: 0.795
Epoch 2 Batch 30/312 - Train Accuracy: 0.826, Validation Accuracy: 0.804, Loss: 0.638
Epoch 2 Batch 31/312 - Train Accuracy: 0.835, Validation Accuracy: 0.799, Loss: 0.631
Epoch 2 Batch 32/312 - Train Accuracy: 0.696, Validation Accuracy: 0.804, Loss: 0.882
Epoch 2 Batch 33/312 - Train Accuracy: 0.817, Validation Accuracy: 0.772, Loss: 0.583
Epoch 2 Batch 34/312 - Train Accuracy: 0.719, Validation Accuracy: 0.772, Loss: 0.818
Epoch 2 Batch 35/312 - Train Accuracy: 0.808, Validation Accuracy: 0.790, Loss: 0.661
Epoch 2 Batch 36/312 - Train Accuracy: 0.754, Validation Accuracy: 0.768, Loss: 0.777
Epoch 2 Batch 37/312 - Train Accuracy: 0.750, Validation Accuracy: 0.768, Loss: 0.823
Epoch 2 Batch 38/312 - Train Accuracy: 0.790, Validation Accuracy: 0.781, Loss: 0.756
Epoch 2 Batch 39/312 - Train Accuracy: 0.817, Validation Accuracy: 0.790, Loss: 0.691
Epoch 2 Batch 40/312 - Train Accuracy: 0.795, Validation Accuracy: 0.795, Loss: 0.704
Epoch 2 Batch 41/312 - Train Accuracy: 0.732, Validation Accuracy: 0.799, Loss: 0.827
Epoch 2 Batch 42/312 - Train Accuracy: 0.835, Validation Accuracy: 0.799, Loss: 0.574
Epoch 2 Batch 43/312 - Train Accuracy: 0.746, Validation Accuracy: 0.804, Loss: 0.773
Epoch 2 Batch 44/312 - Train Accuracy: 0.781, Validation Accuracy: 0.786, Loss: 0.747
Epoch 2 Batch 45/312 - Train Accuracy: 0.768, Validation Accuracy: 0.799, Loss: 0.728
Epoch 2 Batch 46/312 - Train Accuracy: 0.759, Validation Accuracy: 0.799, Loss: 0.807
Epoch 2 Batch 47/312 - Train Accuracy: 0.768, Validation Accuracy: 0.808, Loss: 0.729
Epoch 2 Batch 48/312 - Train Accuracy: 0.741, Validation Accuracy: 0.808, Loss: 0.770
Epoch 2 Batch 49/312 - Train Accuracy: 0.714, Validation Accuracy: 0.808, Loss: 0.869
Epoch 2 Batch 50/312 - Train Accuracy: 0.804, Validation Accuracy: 0.799, Loss: 0.722
Epoch 2 Batch 51/312 - Train Accuracy: 0.812, Validation Accuracy: 0.799, Loss: 0.665
Epoch 2 Batch 52/312 - Train Accuracy: 0.705, Validation Accuracy: 0.795, Loss: 0.860
Epoch 2 Batch 53/312 - Train Accuracy: 0.732, Validation Accuracy: 0.795, Loss: 0.814
Epoch 2 Batch 54/312 - Train Accuracy: 0.799, Validation Accuracy: 0.799, Loss: 0.665
Epoch 2 Batch 55/312 - Train Accuracy: 0.768, Validation Accuracy: 0.790, Loss: 0.723
Epoch 2 Batch 56/312 - Train Accuracy: 0.830, Validation Accuracy: 0.790, Loss: 0.656
Epoch 2 Batch 57/312 - Train Accuracy: 0.768, Validation Accuracy: 0.795, Loss: 0.788
Epoch 2 Batch 58/312 - Train Accuracy: 0.763, Validation Accuracy: 0.799, Loss: 0.746
Epoch 2 Batch 59/312 - Train Accuracy: 0.839, Validation Accuracy: 0.808, Loss: 0.575
Epoch 2 Batch 60/312 - Train Accuracy: 0.835, Validation Accuracy: 0.804, Loss: 0.578
Epoch 2 Batch 61/312 - Train Accuracy: 0.777, Validation Accuracy: 0.799, Loss: 0.699
Epoch 2 Batch 62/312 - Train Accuracy: 0.799, Validation Accuracy: 0.795, Loss: 0.586
Epoch 2 Batch 63/312 - Train Accuracy: 0.790, Validation Accuracy: 0.795, Loss: 0.735
Epoch 2 Batch 64/312 - Train Accuracy: 0.768, Validation Accuracy: 0.812, Loss: 0.778
Epoch 2 Batch 65/312 - Train Accuracy: 0.710, Validation Accuracy: 0.804, Loss: 0.832
Epoch 2 Batch 66/312 - Train Accuracy: 0.839, Validation Accuracy: 0.808, Loss: 0.594
Epoch 2 Batch 67/312 - Train Accuracy: 0.812, Validation Accuracy: 0.808, Loss: 0.629
Epoch 2 Batch 68/312 - Train Accuracy: 0.790, Validation Accuracy: 0.808, Loss: 0.655
Epoch 2 Batch 69/312 - Train Accuracy: 0.821, Validation Accuracy: 0.799, Loss: 0.590
Epoch 2 Batch 70/312 - Train Accuracy: 0.786, Validation Accuracy: 0.799, Loss: 0.746
Epoch 2 Batch 71/312 - Train Accuracy: 0.804, Validation Accuracy: 0.808, Loss: 0.632
Epoch 2 Batch 72/312 - Train Accuracy: 0.808, Validation Accuracy: 0.795, Loss: 0.620
Epoch 2 Batch 73/312 - Train Accuracy: 0.812, Validation Accuracy: 0.804, Loss: 0.626
Epoch 2 Batch 74/312 - Train Accuracy: 0.804, Validation Accuracy: 0.804, Loss: 0.678
Epoch 2 Batch 75/312 - Train Accuracy: 0.746, Validation Accuracy: 0.795, Loss: 0.798
Epoch 2 Batch 76/312 - Train Accuracy: 0.812, Validation Accuracy: 0.804, Loss: 0.601
Epoch 2 Batch 77/312 - Train Accuracy: 0.804, Validation Accuracy: 0.799, Loss: 0.680
Epoch 2 Batch 78/312 - Train Accuracy: 0.759, Validation Accuracy: 0.808, Loss: 0.749
Epoch 2 Batch 79/312 - Train Accuracy: 0.808, Validation Accuracy: 0.808, Loss: 0.696
Epoch 2 Batch 80/312 - Train Accuracy: 0.795, Validation Accuracy: 0.808, Loss: 0.606
Epoch 2 Batch 81/312 - Train Accuracy: 0.790, Validation Accuracy: 0.808, Loss: 0.647
Epoch 2 Batch 82/312 - Train Accuracy: 0.804, Validation Accuracy: 0.808, Loss: 0.651
Epoch 2 Batch 83/312 - Train Accuracy: 0.830, Validation Accuracy: 0.812, Loss: 0.614
Epoch 2 Batch 84/312 - Train Accuracy: 0.821, Validation Accuracy: 0.804, Loss: 0.583
Epoch 2 Batch 85/312 - Train Accuracy: 0.839, Validation Accuracy: 0.812, Loss: 0.600
Epoch 2 Batch 86/312 - Train Accuracy: 0.795, Validation Accuracy: 0.817, Loss: 0.609
Epoch 2 Batch 87/312 - Train Accuracy: 0.799, Validation Accuracy: 0.804, Loss: 0.618
Epoch 2 Batch 88/312 - Train Accuracy: 0.812, Validation Accuracy: 0.812, Loss: 0.647
Epoch 2 Batch 89/312 - Train Accuracy: 0.763, Validation Accuracy: 0.817, Loss: 0.759
Epoch 2 Batch 90/312 - Train Accuracy: 0.701, Validation Accuracy: 0.812, Loss: 0.891
Epoch 2 Batch 91/312 - Train Accuracy: 0.862, Validation Accuracy: 0.812, Loss: 0.496
Epoch 2 Batch 92/312 - Train Accuracy: 0.759, Validation Accuracy: 0.817, Loss: 0.761
Epoch 2 Batch 93/312 - Train Accuracy: 0.781, Validation Accuracy: 0.812, Loss: 0.734
Epoch 2 Batch 94/312 - Train Accuracy: 0.759, Validation Accuracy: 0.799, Loss: 0.650
Epoch 2 Batch 95/312 - Train Accuracy: 0.848, Validation Accuracy: 0.808, Loss: 0.488
Epoch 2 Batch 96/312 - Train Accuracy: 0.799, Validation Accuracy: 0.812, Loss: 0.644
Epoch 2 Batch 97/312 - Train Accuracy: 0.754, Validation Accuracy: 0.821, Loss: 0.721
Epoch 2 Batch 98/312 - Train Accuracy: 0.826, Validation Accuracy: 0.812, Loss: 0.609
Epoch 2 Batch 99/312 - Train Accuracy: 0.808, Validation Accuracy: 0.804, Loss: 0.590
Epoch 2 Batch 100/312 - Train Accuracy: 0.719, Validation Accuracy: 0.804, Loss: 0.827
Epoch 2 Batch 101/312 - Train Accuracy: 0.821, Validation Accuracy: 0.808, Loss: 0.573
Epoch 2 Batch 102/312 - Train Accuracy: 0.821, Validation Accuracy: 0.808, Loss: 0.591
Epoch 2 Batch 103/312 - Train Accuracy: 0.821, Validation Accuracy: 0.812, Loss: 0.565
Epoch 2 Batch 104/312 - Train Accuracy: 0.835, Validation Accuracy: 0.799, Loss: 0.535
Epoch 2 Batch 105/312 - Train Accuracy: 0.750, Validation Accuracy: 0.821, Loss: 0.815
Epoch 2 Batch 106/312 - Train Accuracy: 0.759, Validation Accuracy: 0.821, Loss: 0.764
Epoch 2 Batch 107/312 - Train Accuracy: 0.772, Validation Accuracy: 0.817, Loss: 0.782
Epoch 2 Batch 108/312 - Train Accuracy: 0.835, Validation Accuracy: 0.812, Loss: 0.585
Epoch 2 Batch 109/312 - Train Accuracy: 0.723, Validation Accuracy: 0.817, Loss: 0.874
Epoch 2 Batch 110/312 - Train Accuracy: 0.790, Validation Accuracy: 0.817, Loss: 0.638
Epoch 2 Batch 111/312 - Train Accuracy: 0.737, Validation Accuracy: 0.812, Loss: 0.795
Epoch 2 Batch 112/312 - Train Accuracy: 0.790, Validation Accuracy: 0.821, Loss: 0.678
Epoch 2 Batch 113/312 - Train Accuracy: 0.768, Validation Accuracy: 0.817, Loss: 0.685
Epoch 2 Batch 114/312 - Train Accuracy: 0.830, Validation Accuracy: 0.821, Loss: 0.609
Epoch 2 Batch 115/312 - Train Accuracy: 0.746, Validation Accuracy: 0.835, Loss: 0.754
Epoch 2 Batch 116/312 - Train Accuracy: 0.754, Validation Accuracy: 0.830, Loss: 0.788
Epoch 2 Batch 117/312 - Train Accuracy: 0.790, Validation Accuracy: 0.826, Loss: 0.620
Epoch 2 Batch 118/312 - Train Accuracy: 0.795, Validation Accuracy: 0.808, Loss: 0.672
Epoch 2 Batch 119/312 - Train Accuracy: 0.812, Validation Accuracy: 0.790, Loss: 0.555
Epoch 2 Batch 120/312 - Train Accuracy: 0.848, Validation Accuracy: 0.790, Loss: 0.575
Epoch 2 Batch 121/312 - Train Accuracy: 0.737, Validation Accuracy: 0.795, Loss: 0.776
Epoch 2 Batch 122/312 - Train Accuracy: 0.759, Validation Accuracy: 0.804, Loss: 0.657
Epoch 2 Batch 123/312 - Train Accuracy: 0.799, Validation Accuracy: 0.826, Loss: 0.616
Epoch 2 Batch 124/312 - Train Accuracy: 0.781, Validation Accuracy: 0.826, Loss: 0.672
Epoch 2 Batch 125/312 - Train Accuracy: 0.839, Validation Accuracy: 0.830, Loss: 0.561
Epoch 2 Batch 126/312 - Train Accuracy: 0.790, Validation Accuracy: 0.830, Loss: 0.698
Epoch 2 Batch 127/312 - Train Accuracy: 0.812, Validation Accuracy: 0.821, Loss: 0.605
Epoch 2 Batch 128/312 - Train Accuracy: 0.839, Validation Accuracy: 0.826, Loss: 0.554
Epoch 2 Batch 129/312 - Train Accuracy: 0.754, Validation Accuracy: 0.812, Loss: 0.799
Epoch 2 Batch 130/312 - Train Accuracy: 0.839, Validation Accuracy: 0.804, Loss: 0.511
Epoch 2 Batch 131/312 - Train Accuracy: 0.763, Validation Accuracy: 0.799, Loss: 0.775
Epoch 2 Batch 132/312 - Train Accuracy: 0.790, Validation Accuracy: 0.790, Loss: 0.647
Epoch 2 Batch 133/312 - Train Accuracy: 0.844, Validation Accuracy: 0.790, Loss: 0.534
Epoch 2 Batch 134/312 - Train Accuracy: 0.768, Validation Accuracy: 0.777, Loss: 0.730
Epoch 2 Batch 135/312 - Train Accuracy: 0.795, Validation Accuracy: 0.777, Loss: 0.654
Epoch 2 Batch 136/312 - Train Accuracy: 0.759, Validation Accuracy: 0.790, Loss: 0.841
Epoch 2 Batch 137/312 - Train Accuracy: 0.839, Validation Accuracy: 0.799, Loss: 0.624
Epoch 2 Batch 138/312 - Train Accuracy: 0.826, Validation Accuracy: 0.808, Loss: 0.587
Epoch 2 Batch 139/312 - Train Accuracy: 0.777, Validation Accuracy: 0.804, Loss: 0.736
Epoch 2 Batch 140/312 - Train Accuracy: 0.871, Validation Accuracy: 0.790, Loss: 0.456
Epoch 2 Batch 141/312 - Train Accuracy: 0.728, Validation Accuracy: 0.795, Loss: 0.846
Epoch 2 Batch 142/312 - Train Accuracy: 0.808, Validation Accuracy: 0.808, Loss: 0.574
Epoch 2 Batch 143/312 - Train Accuracy: 0.750, Validation Accuracy: 0.812, Loss: 0.726
Epoch 2 Batch 144/312 - Train Accuracy: 0.777, Validation Accuracy: 0.795, Loss: 0.694
Epoch 2 Batch 145/312 - Train Accuracy: 0.799, Validation Accuracy: 0.799, Loss: 0.608
Epoch 2 Batch 146/312 - Train Accuracy: 0.817, Validation Accuracy: 0.795, Loss: 0.621
Epoch 2 Batch 147/312 - Train Accuracy: 0.844, Validation Accuracy: 0.790, Loss: 0.572
Epoch 2 Batch 148/312 - Train Accuracy: 0.772, Validation Accuracy: 0.795, Loss: 0.685
Epoch 2 Batch 149/312 - Train Accuracy: 0.768, Validation Accuracy: 0.795, Loss: 0.703
Epoch 2 Batch 150/312 - Train Accuracy: 0.763, Validation Accuracy: 0.799, Loss: 0.714
Epoch 2 Batch 151/312 - Train Accuracy: 0.848, Validation Accuracy: 0.804, Loss: 0.577
Epoch 2 Batch 152/312 - Train Accuracy: 0.750, Validation Accuracy: 0.804, Loss: 0.740
Epoch 2 Batch 153/312 - Train Accuracy: 0.772, Validation Accuracy: 0.808, Loss: 0.715
Epoch 2 Batch 154/312 - Train Accuracy: 0.772, Validation Accuracy: 0.804, Loss: 0.645
Epoch 2 Batch 155/312 - Train Accuracy: 0.862, Validation Accuracy: 0.804, Loss: 0.574
Epoch 2 Batch 156/312 - Train Accuracy: 0.812, Validation Accuracy: 0.808, Loss: 0.644
Epoch 2 Batch 157/312 - Train Accuracy: 0.848, Validation Accuracy: 0.808, Loss: 0.624
Epoch 2 Batch 158/312 - Train Accuracy: 0.763, Validation Accuracy: 0.799, Loss: 0.726
Epoch 2 Batch 159/312 - Train Accuracy: 0.763, Validation Accuracy: 0.812, Loss: 0.721
Epoch 2 Batch 160/312 - Train Accuracy: 0.777, Validation Accuracy: 0.808, Loss: 0.697
Epoch 2 Batch 161/312 - Train Accuracy: 0.781, Validation Accuracy: 0.812, Loss: 0.704
Epoch 2 Batch 162/312 - Train Accuracy: 0.804, Validation Accuracy: 0.817, Loss: 0.610
Epoch 2 Batch 163/312 - Train Accuracy: 0.817, Validation Accuracy: 0.817, Loss: 0.593
Epoch 2 Batch 164/312 - Train Accuracy: 0.857, Validation Accuracy: 0.812, Loss: 0.518
Epoch 2 Batch 165/312 - Train Accuracy: 0.826, Validation Accuracy: 0.821, Loss: 0.558
Epoch 2 Batch 166/312 - Train Accuracy: 0.741, Validation Accuracy: 0.835, Loss: 0.813
Epoch 2 Batch 167/312 - Train Accuracy: 0.763, Validation Accuracy: 0.830, Loss: 0.732
Epoch 2 Batch 168/312 - Train Accuracy: 0.772, Validation Accuracy: 0.826, Loss: 0.712
Epoch 2 Batch 169/312 - Train Accuracy: 0.799, Validation Accuracy: 0.826, Loss: 0.679
Epoch 2 Batch 170/312 - Train Accuracy: 0.808, Validation Accuracy: 0.821, Loss: 0.631
Epoch 2 Batch 171/312 - Train Accuracy: 0.821, Validation Accuracy: 0.830, Loss: 0.670
Epoch 2 Batch 172/312 - Train Accuracy: 0.821, Validation Accuracy: 0.817, Loss: 0.573
Epoch 2 Batch 173/312 - Train Accuracy: 0.848, Validation Accuracy: 0.804, Loss: 0.544
Epoch 2 Batch 174/312 - Train Accuracy: 0.812, Validation Accuracy: 0.817, Loss: 0.630
Epoch 2 Batch 175/312 - Train Accuracy: 0.799, Validation Accuracy: 0.821, Loss: 0.706
Epoch 2 Batch 176/312 - Train Accuracy: 0.786, Validation Accuracy: 0.817, Loss: 0.667
Epoch 2 Batch 177/312 - Train Accuracy: 0.763, Validation Accuracy: 0.821, Loss: 0.753
Epoch 2 Batch 178/312 - Train Accuracy: 0.737, Validation Accuracy: 0.808, Loss: 0.706
Epoch 2 Batch 179/312 - Train Accuracy: 0.795, Validation Accuracy: 0.804, Loss: 0.665
Epoch 2 Batch 180/312 - Train Accuracy: 0.808, Validation Accuracy: 0.804, Loss: 0.620
Epoch 2 Batch 181/312 - Train Accuracy: 0.817, Validation Accuracy: 0.817, Loss: 0.532
Epoch 2 Batch 182/312 - Train Accuracy: 0.839, Validation Accuracy: 0.795, Loss: 0.570
Epoch 2 Batch 183/312 - Train Accuracy: 0.830, Validation Accuracy: 0.799, Loss: 0.638
Epoch 2 Batch 184/312 - Train Accuracy: 0.848, Validation Accuracy: 0.808, Loss: 0.584
Epoch 2 Batch 185/312 - Train Accuracy: 0.781, Validation Accuracy: 0.804, Loss: 0.631
Epoch 2 Batch 186/312 - Train Accuracy: 0.808, Validation Accuracy: 0.808, Loss: 0.596
Epoch 2 Batch 187/312 - Train Accuracy: 0.853, Validation Accuracy: 0.817, Loss: 0.584
Epoch 2 Batch 188/312 - Train Accuracy: 0.759, Validation Accuracy: 0.812, Loss: 0.720
Epoch 2 Batch 189/312 - Train Accuracy: 0.817, Validation Accuracy: 0.804, Loss: 0.681
Epoch 2 Batch 190/312 - Train Accuracy: 0.772, Validation Accuracy: 0.790, Loss: 0.660
Epoch 2 Batch 191/312 - Train Accuracy: 0.839, Validation Accuracy: 0.804, Loss: 0.479
Epoch 2 Batch 192/312 - Train Accuracy: 0.808, Validation Accuracy: 0.804, Loss: 0.619
Epoch 2 Batch 193/312 - Train Accuracy: 0.830, Validation Accuracy: 0.804, Loss: 0.560
Epoch 2 Batch 194/312 - Train Accuracy: 0.795, Validation Accuracy: 0.808, Loss: 0.601
Epoch 2 Batch 195/312 - Train Accuracy: 0.808, Validation Accuracy: 0.812, Loss: 0.615
Epoch 2 Batch 196/312 - Train Accuracy: 0.826, Validation Accuracy: 0.817, Loss: 0.586
Epoch 2 Batch 197/312 - Train Accuracy: 0.853, Validation Accuracy: 0.821, Loss: 0.482
Epoch 2 Batch 198/312 - Train Accuracy: 0.848, Validation Accuracy: 0.817, Loss: 0.546
Epoch 2 Batch 199/312 - Train Accuracy: 0.799, Validation Accuracy: 0.826, Loss: 0.670
Epoch 2 Batch 200/312 - Train Accuracy: 0.821, Validation Accuracy: 0.817, Loss: 0.499
Epoch 2 Batch 201/312 - Train Accuracy: 0.812, Validation Accuracy: 0.808, Loss: 0.609
Epoch 2 Batch 202/312 - Train Accuracy: 0.750, Validation Accuracy: 0.804, Loss: 0.729
Epoch 2 Batch 203/312 - Train Accuracy: 0.786, Validation Accuracy: 0.804, Loss: 0.731
Epoch 2 Batch 204/312 - Train Accuracy: 0.795, Validation Accuracy: 0.808, Loss: 0.671
Epoch 2 Batch 205/312 - Train Accuracy: 0.705, Validation Accuracy: 0.817, Loss: 0.835
Epoch 2 Batch 206/312 - Train Accuracy: 0.799, Validation Accuracy: 0.826, Loss: 0.654
Epoch 2 Batch 207/312 - Train Accuracy: 0.759, Validation Accuracy: 0.826, Loss: 0.646
Epoch 2 Batch 208/312 - Train Accuracy: 0.812, Validation Accuracy: 0.817, Loss: 0.537
Epoch 2 Batch 209/312 - Train Accuracy: 0.826, Validation Accuracy: 0.826, Loss: 0.616
Epoch 2 Batch 210/312 - Train Accuracy: 0.804, Validation Accuracy: 0.826, Loss: 0.560
Epoch 2 Batch 211/312 - Train Accuracy: 0.844, Validation Accuracy: 0.821, Loss: 0.491
Epoch 2 Batch 212/312 - Train Accuracy: 0.857, Validation Accuracy: 0.812, Loss: 0.534
Epoch 2 Batch 213/312 - Train Accuracy: 0.772, Validation Accuracy: 0.817, Loss: 0.658
Epoch 2 Batch 214/312 - Train Accuracy: 0.754, Validation Accuracy: 0.812, Loss: 0.741
Epoch 2 Batch 215/312 - Train Accuracy: 0.754, Validation Accuracy: 0.812, Loss: 0.683
Epoch 2 Batch 216/312 - Train Accuracy: 0.799, Validation Accuracy: 0.817, Loss: 0.598
Epoch 2 Batch 217/312 - Train Accuracy: 0.848, Validation Accuracy: 0.817, Loss: 0.508
Epoch 2 Batch 218/312 - Train Accuracy: 0.830, Validation Accuracy: 0.812, Loss: 0.595
Epoch 2 Batch 219/312 - Train Accuracy: 0.826, Validation Accuracy: 0.817, Loss: 0.659
Epoch 2 Batch 220/312 - Train Accuracy: 0.835, Validation Accuracy: 0.812, Loss: 0.538
Epoch 2 Batch 221/312 - Train Accuracy: 0.804, Validation Accuracy: 0.826, Loss: 0.670
Epoch 2 Batch 222/312 - Train Accuracy: 0.830, Validation Accuracy: 0.830, Loss: 0.594
Epoch 2 Batch 223/312 - Train Accuracy: 0.786, Validation Accuracy: 0.835, Loss: 0.686
Epoch 2 Batch 224/312 - Train Accuracy: 0.790, Validation Accuracy: 0.830, Loss: 0.691
Epoch 2 Batch 225/312 - Train Accuracy: 0.777, Validation Accuracy: 0.821, Loss: 0.722
Epoch 2 Batch 226/312 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.560
Epoch 2 Batch 227/312 - Train Accuracy: 0.821, Validation Accuracy: 0.826, Loss: 0.534
Epoch 2 Batch 228/312 - Train Accuracy: 0.781, Validation Accuracy: 0.830, Loss: 0.678
Epoch 2 Batch 229/312 - Train Accuracy: 0.826, Validation Accuracy: 0.830, Loss: 0.549
Epoch 2 Batch 230/312 - Train Accuracy: 0.817, Validation Accuracy: 0.835, Loss: 0.641
Epoch 2 Batch 231/312 - Train Accuracy: 0.821, Validation Accuracy: 0.830, Loss: 0.632
Epoch 2 Batch 232/312 - Train Accuracy: 0.737, Validation Accuracy: 0.826, Loss: 0.736
Epoch 2 Batch 233/312 - Train Accuracy: 0.853, Validation Accuracy: 0.844, Loss: 0.580
Epoch 2 Batch 234/312 - Train Accuracy: 0.795, Validation Accuracy: 0.839, Loss: 0.597
Epoch 2 Batch 235/312 - Train Accuracy: 0.786, Validation Accuracy: 0.844, Loss: 0.634
Epoch 2 Batch 236/312 - Train Accuracy: 0.759, Validation Accuracy: 0.839, Loss: 0.723
Epoch 2 Batch 237/312 - Train Accuracy: 0.853, Validation Accuracy: 0.853, Loss: 0.534
Epoch 2 Batch 238/312 - Train Accuracy: 0.777, Validation Accuracy: 0.839, Loss: 0.740
Epoch 2 Batch 239/312 - Train Accuracy: 0.857, Validation Accuracy: 0.830, Loss: 0.536
Epoch 2 Batch 240/312 - Train Accuracy: 0.830, Validation Accuracy: 0.839, Loss: 0.585
Epoch 2 Batch 241/312 - Train Accuracy: 0.777, Validation Accuracy: 0.830, Loss: 0.731
Epoch 2 Batch 242/312 - Train Accuracy: 0.781, Validation Accuracy: 0.821, Loss: 0.665
Epoch 2 Batch 243/312 - Train Accuracy: 0.808, Validation Accuracy: 0.821, Loss: 0.537
Epoch 2 Batch 244/312 - Train Accuracy: 0.848, Validation Accuracy: 0.812, Loss: 0.495
Epoch 2 Batch 245/312 - Train Accuracy: 0.866, Validation Accuracy: 0.812, Loss: 0.527
Epoch 2 Batch 246/312 - Train Accuracy: 0.853, Validation Accuracy: 0.808, Loss: 0.478
Epoch 2 Batch 247/312 - Train Accuracy: 0.795, Validation Accuracy: 0.804, Loss: 0.633
Epoch 2 Batch 248/312 - Train Accuracy: 0.786, Validation Accuracy: 0.812, Loss: 0.711
Epoch 2 Batch 249/312 - Train Accuracy: 0.768, Validation Accuracy: 0.830, Loss: 0.707
Epoch 2 Batch 250/312 - Train Accuracy: 0.826, Validation Accuracy: 0.821, Loss: 0.550
Epoch 2 Batch 251/312 - Train Accuracy: 0.862, Validation Accuracy: 0.821, Loss: 0.539
Epoch 2 Batch 252/312 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.580
Epoch 2 Batch 253/312 - Train Accuracy: 0.777, Validation Accuracy: 0.817, Loss: 0.607
Epoch 2 Batch 254/312 - Train Accuracy: 0.790, Validation Accuracy: 0.821, Loss: 0.655
Epoch 2 Batch 255/312 - Train Accuracy: 0.804, Validation Accuracy: 0.830, Loss: 0.574
Epoch 2 Batch 256/312 - Train Accuracy: 0.897, Validation Accuracy: 0.826, Loss: 0.400
Epoch 2 Batch 257/312 - Train Accuracy: 0.817, Validation Accuracy: 0.821, Loss: 0.569
Epoch 2 Batch 258/312 - Train Accuracy: 0.804, Validation Accuracy: 0.817, Loss: 0.658
Epoch 2 Batch 259/312 - Train Accuracy: 0.844, Validation Accuracy: 0.830, Loss: 0.458
Epoch 2 Batch 260/312 - Train Accuracy: 0.754, Validation Accuracy: 0.826, Loss: 0.714
Epoch 2 Batch 261/312 - Train Accuracy: 0.812, Validation Accuracy: 0.830, Loss: 0.605
Epoch 2 Batch 262/312 - Train Accuracy: 0.853, Validation Accuracy: 0.839, Loss: 0.482
Epoch 2 Batch 263/312 - Train Accuracy: 0.871, Validation Accuracy: 0.835, Loss: 0.476
Epoch 2 Batch 264/312 - Train Accuracy: 0.812, Validation Accuracy: 0.830, Loss: 0.538
Epoch 2 Batch 265/312 - Train Accuracy: 0.808, Validation Accuracy: 0.821, Loss: 0.623
Epoch 2 Batch 266/312 - Train Accuracy: 0.812, Validation Accuracy: 0.830, Loss: 0.549
Epoch 2 Batch 267/312 - Train Accuracy: 0.848, Validation Accuracy: 0.830, Loss: 0.486
Epoch 2 Batch 268/312 - Train Accuracy: 0.862, Validation Accuracy: 0.812, Loss: 0.519
Epoch 2 Batch 269/312 - Train Accuracy: 0.879, Validation Accuracy: 0.821, Loss: 0.539
Epoch 2 Batch 270/312 - Train Accuracy: 0.879, Validation Accuracy: 0.821, Loss: 0.523
Epoch 2 Batch 271/312 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.579
Epoch 2 Batch 272/312 - Train Accuracy: 0.839, Validation Accuracy: 0.826, Loss: 0.570
Epoch 2 Batch 273/312 - Train Accuracy: 0.866, Validation Accuracy: 0.826, Loss: 0.463
Epoch 2 Batch 274/312 - Train Accuracy: 0.839, Validation Accuracy: 0.830, Loss: 0.513
Epoch 2 Batch 275/312 - Train Accuracy: 0.830, Validation Accuracy: 0.826, Loss: 0.518
Epoch 2 Batch 276/312 - Train Accuracy: 0.790, Validation Accuracy: 0.826, Loss: 0.688
Epoch 2 Batch 277/312 - Train Accuracy: 0.875, Validation Accuracy: 0.817, Loss: 0.429
Epoch 2 Batch 278/312 - Train Accuracy: 0.772, Validation Accuracy: 0.812, Loss: 0.720
Epoch 2 Batch 279/312 - Train Accuracy: 0.835, Validation Accuracy: 0.821, Loss: 0.549
Epoch 2 Batch 280/312 - Train Accuracy: 0.902, Validation Accuracy: 0.830, Loss: 0.363
Epoch 2 Batch 281/312 - Train Accuracy: 0.830, Validation Accuracy: 0.812, Loss: 0.554
Epoch 2 Batch 282/312 - Train Accuracy: 0.839, Validation Accuracy: 0.812, Loss: 0.493
Epoch 2 Batch 283/312 - Train Accuracy: 0.812, Validation Accuracy: 0.808, Loss: 0.588
Epoch 2 Batch 284/312 - Train Accuracy: 0.906, Validation Accuracy: 0.808, Loss: 0.388
Epoch 2 Batch 285/312 - Train Accuracy: 0.804, Validation Accuracy: 0.799, Loss: 0.645
Epoch 2 Batch 286/312 - Train Accuracy: 0.772, Validation Accuracy: 0.804, Loss: 0.723
Epoch 2 Batch 287/312 - Train Accuracy: 0.817, Validation Accuracy: 0.808, Loss: 0.511
Epoch 2 Batch 288/312 - Train Accuracy: 0.875, Validation Accuracy: 0.812, Loss: 0.466
Epoch 2 Batch 289/312 - Train Accuracy: 0.844, Validation Accuracy: 0.812, Loss: 0.521
Epoch 2 Batch 290/312 - Train Accuracy: 0.853, Validation Accuracy: 0.821, Loss: 0.528
Epoch 2 Batch 291/312 - Train Accuracy: 0.866, Validation Accuracy: 0.821, Loss: 0.574
Epoch 2 Batch 292/312 - Train Accuracy: 0.786, Validation Accuracy: 0.817, Loss: 0.621
Epoch 2 Batch 293/312 - Train Accuracy: 0.781, Validation Accuracy: 0.817, Loss: 0.572
Epoch 2 Batch 294/312 - Train Accuracy: 0.808, Validation Accuracy: 0.817, Loss: 0.615
Epoch 2 Batch 295/312 - Train Accuracy: 0.786, Validation Accuracy: 0.839, Loss: 0.677
Epoch 2 Batch 296/312 - Train Accuracy: 0.795, Validation Accuracy: 0.835, Loss: 0.660
Epoch 2 Batch 297/312 - Train Accuracy: 0.826, Validation Accuracy: 0.826, Loss: 0.582
Epoch 2 Batch 298/312 - Train Accuracy: 0.781, Validation Accuracy: 0.830, Loss: 0.640
Epoch 2 Batch 299/312 - Train Accuracy: 0.848, Validation Accuracy: 0.835, Loss: 0.528
Epoch 2 Batch 300/312 - Train Accuracy: 0.857, Validation Accuracy: 0.826, Loss: 0.469
Epoch 2 Batch 301/312 - Train Accuracy: 0.821, Validation Accuracy: 0.835, Loss: 0.578
Epoch 2 Batch 302/312 - Train Accuracy: 0.795, Validation Accuracy: 0.830, Loss: 0.621
Epoch 2 Batch 303/312 - Train Accuracy: 0.808, Validation Accuracy: 0.826, Loss: 0.573
Epoch 2 Batch 304/312 - Train Accuracy: 0.808, Validation Accuracy: 0.817, Loss: 0.591
Epoch 2 Batch 305/312 - Train Accuracy: 0.812, Validation Accuracy: 0.821, Loss: 0.541
Epoch 2 Batch 306/312 - Train Accuracy: 0.848, Validation Accuracy: 0.830, Loss: 0.517
Epoch 2 Batch 307/312 - Train Accuracy: 0.795, Validation Accuracy: 0.830, Loss: 0.604
Epoch 2 Batch 308/312 - Train Accuracy: 0.812, Validation Accuracy: 0.839, Loss: 0.626
Epoch 2 Batch 309/312 - Train Accuracy: 0.857, Validation Accuracy: 0.835, Loss: 0.497
Epoch 2 Batch 310/312 - Train Accuracy: 0.830, Validation Accuracy: 0.830, Loss: 0.588
Epoch 3 Batch 0/312 - Train Accuracy: 0.821, Validation Accuracy: 0.826, Loss: 0.573
Epoch 3 Batch 1/312 - Train Accuracy: 0.875, Validation Accuracy: 0.830, Loss: 0.437
Epoch 3 Batch 2/312 - Train Accuracy: 0.812, Validation Accuracy: 0.830, Loss: 0.602
Epoch 3 Batch 3/312 - Train Accuracy: 0.826, Validation Accuracy: 0.826, Loss: 0.536
Epoch 3 Batch 4/312 - Train Accuracy: 0.777, Validation Accuracy: 0.821, Loss: 0.687
Epoch 3 Batch 5/312 - Train Accuracy: 0.835, Validation Accuracy: 0.830, Loss: 0.513
Epoch 3 Batch 6/312 - Train Accuracy: 0.862, Validation Accuracy: 0.830, Loss: 0.580
Epoch 3 Batch 7/312 - Train Accuracy: 0.897, Validation Accuracy: 0.830, Loss: 0.463
Epoch 3 Batch 8/312 - Train Accuracy: 0.777, Validation Accuracy: 0.830, Loss: 0.577
Epoch 3 Batch 9/312 - Train Accuracy: 0.821, Validation Accuracy: 0.830, Loss: 0.594
Epoch 3 Batch 10/312 - Train Accuracy: 0.830, Validation Accuracy: 0.830, Loss: 0.549
Epoch 3 Batch 11/312 - Train Accuracy: 0.871, Validation Accuracy: 0.835, Loss: 0.422
Epoch 3 Batch 12/312 - Train Accuracy: 0.879, Validation Accuracy: 0.835, Loss: 0.448
Epoch 3 Batch 13/312 - Train Accuracy: 0.795, Validation Accuracy: 0.844, Loss: 0.678
Epoch 3 Batch 14/312 - Train Accuracy: 0.848, Validation Accuracy: 0.853, Loss: 0.457
Epoch 3 Batch 15/312 - Train Accuracy: 0.857, Validation Accuracy: 0.853, Loss: 0.483
Epoch 3 Batch 16/312 - Train Accuracy: 0.812, Validation Accuracy: 0.835, Loss: 0.616
Epoch 3 Batch 17/312 - Train Accuracy: 0.848, Validation Accuracy: 0.826, Loss: 0.455
Epoch 3 Batch 18/312 - Train Accuracy: 0.795, Validation Accuracy: 0.830, Loss: 0.560
Epoch 3 Batch 19/312 - Train Accuracy: 0.844, Validation Accuracy: 0.830, Loss: 0.522
Epoch 3 Batch 20/312 - Train Accuracy: 0.826, Validation Accuracy: 0.830, Loss: 0.560
Epoch 3 Batch 21/312 - Train Accuracy: 0.812, Validation Accuracy: 0.835, Loss: 0.611
Epoch 3 Batch 22/312 - Train Accuracy: 0.902, Validation Accuracy: 0.848, Loss: 0.343
Epoch 3 Batch 23/312 - Train Accuracy: 0.866, Validation Accuracy: 0.844, Loss: 0.380
Epoch 3 Batch 24/312 - Train Accuracy: 0.844, Validation Accuracy: 0.835, Loss: 0.494
Epoch 3 Batch 25/312 - Train Accuracy: 0.835, Validation Accuracy: 0.839, Loss: 0.574
Epoch 3 Batch 26/312 - Train Accuracy: 0.817, Validation Accuracy: 0.835, Loss: 0.543
Epoch 3 Batch 27/312 - Train Accuracy: 0.835, Validation Accuracy: 0.830, Loss: 0.493
Epoch 3 Batch 28/312 - Train Accuracy: 0.839, Validation Accuracy: 0.835, Loss: 0.549
Epoch 3 Batch 29/312 - Train Accuracy: 0.781, Validation Accuracy: 0.839, Loss: 0.609
Epoch 3 Batch 30/312 - Train Accuracy: 0.848, Validation Accuracy: 0.848, Loss: 0.454
Epoch 3 Batch 31/312 - Train Accuracy: 0.871, Validation Accuracy: 0.839, Loss: 0.438
Epoch 3 Batch 32/312 - Train Accuracy: 0.808, Validation Accuracy: 0.844, Loss: 0.646
Epoch 3 Batch 33/312 - Train Accuracy: 0.915, Validation Accuracy: 0.844, Loss: 0.381
Epoch 3 Batch 34/312 - Train Accuracy: 0.799, Validation Accuracy: 0.830, Loss: 0.613
Epoch 3 Batch 35/312 - Train Accuracy: 0.862, Validation Accuracy: 0.830, Loss: 0.456
Epoch 3 Batch 36/312 - Train Accuracy: 0.830, Validation Accuracy: 0.830, Loss: 0.548
Epoch 3 Batch 37/312 - Train Accuracy: 0.821, Validation Accuracy: 0.835, Loss: 0.586
Epoch 3 Batch 38/312 - Train Accuracy: 0.826, Validation Accuracy: 0.835, Loss: 0.558
Epoch 3 Batch 39/312 - Train Accuracy: 0.862, Validation Accuracy: 0.844, Loss: 0.513
Epoch 3 Batch 40/312 - Train Accuracy: 0.866, Validation Accuracy: 0.848, Loss: 0.484
Epoch 3 Batch 41/312 - Train Accuracy: 0.772, Validation Accuracy: 0.848, Loss: 0.636
Epoch 3 Batch 42/312 - Train Accuracy: 0.893, Validation Accuracy: 0.857, Loss: 0.417
Epoch 3 Batch 43/312 - Train Accuracy: 0.786, Validation Accuracy: 0.857, Loss: 0.570
Epoch 3 Batch 44/312 - Train Accuracy: 0.812, Validation Accuracy: 0.844, Loss: 0.536
Epoch 3 Batch 45/312 - Train Accuracy: 0.804, Validation Accuracy: 0.853, Loss: 0.550
Epoch 3 Batch 46/312 - Train Accuracy: 0.853, Validation Accuracy: 0.853, Loss: 0.581
Epoch 3 Batch 47/312 - Train Accuracy: 0.808, Validation Accuracy: 0.844, Loss: 0.524
Epoch 3 Batch 48/312 - Train Accuracy: 0.857, Validation Accuracy: 0.853, Loss: 0.574
Epoch 3 Batch 49/312 - Train Accuracy: 0.790, Validation Accuracy: 0.857, Loss: 0.651
Epoch 3 Batch 50/312 - Train Accuracy: 0.839, Validation Accuracy: 0.844, Loss: 0.532
Epoch 3 Batch 51/312 - Train Accuracy: 0.839, Validation Accuracy: 0.844, Loss: 0.474
Epoch 3 Batch 52/312 - Train Accuracy: 0.786, Validation Accuracy: 0.844, Loss: 0.639
Epoch 3 Batch 53/312 - Train Accuracy: 0.795, Validation Accuracy: 0.839, Loss: 0.606
Epoch 3 Batch 54/312 - Train Accuracy: 0.839, Validation Accuracy: 0.835, Loss: 0.474
Epoch 3 Batch 55/312 - Train Accuracy: 0.835, Validation Accuracy: 0.835, Loss: 0.524
Epoch 3 Batch 56/312 - Train Accuracy: 0.871, Validation Accuracy: 0.830, Loss: 0.474
Epoch 3 Batch 57/312 - Train Accuracy: 0.848, Validation Accuracy: 0.830, Loss: 0.570
Epoch 3 Batch 58/312 - Train Accuracy: 0.839, Validation Accuracy: 0.835, Loss: 0.545
Epoch 3 Batch 59/312 - Train Accuracy: 0.893, Validation Accuracy: 0.844, Loss: 0.399
Epoch 3 Batch 60/312 - Train Accuracy: 0.875, Validation Accuracy: 0.844, Loss: 0.424
Epoch 3 Batch 61/312 - Train Accuracy: 0.844, Validation Accuracy: 0.835, Loss: 0.513
Epoch 3 Batch 62/312 - Train Accuracy: 0.862, Validation Accuracy: 0.839, Loss: 0.434
Epoch 3 Batch 63/312 - Train Accuracy: 0.848, Validation Accuracy: 0.848, Loss: 0.504
Epoch 3 Batch 64/312 - Train Accuracy: 0.821, Validation Accuracy: 0.835, Loss: 0.584
Epoch 3 Batch 65/312 - Train Accuracy: 0.759, Validation Accuracy: 0.844, Loss: 0.636
Epoch 3 Batch 66/312 - Train Accuracy: 0.862, Validation Accuracy: 0.844, Loss: 0.433
Epoch 3 Batch 67/312 - Train Accuracy: 0.839, Validation Accuracy: 0.844, Loss: 0.444
Epoch 3 Batch 68/312 - Train Accuracy: 0.875, Validation Accuracy: 0.844, Loss: 0.461
Epoch 3 Batch 69/312 - Train Accuracy: 0.888, Validation Accuracy: 0.830, Loss: 0.421
Epoch 3 Batch 70/312 - Train Accuracy: 0.848, Validation Accuracy: 0.830, Loss: 0.545
Epoch 3 Batch 71/312 - Train Accuracy: 0.871, Validation Accuracy: 0.848, Loss: 0.438
Epoch 3 Batch 72/312 - Train Accuracy: 0.866, Validation Accuracy: 0.826, Loss: 0.443
Epoch 3 Batch 73/312 - Train Accuracy: 0.857, Validation Accuracy: 0.839, Loss: 0.443
Epoch 3 Batch 74/312 - Train Accuracy: 0.844, Validation Accuracy: 0.857, Loss: 0.491
Epoch 3 Batch 75/312 - Train Accuracy: 0.817, Validation Accuracy: 0.857, Loss: 0.588
Epoch 3 Batch 76/312 - Train Accuracy: 0.866, Validation Accuracy: 0.839, Loss: 0.437
Epoch 3 Batch 77/312 - Train Accuracy: 0.826, Validation Accuracy: 0.853, Loss: 0.506
Epoch 3 Batch 78/312 - Train Accuracy: 0.830, Validation Accuracy: 0.862, Loss: 0.570
Epoch 3 Batch 79/312 - Train Accuracy: 0.826, Validation Accuracy: 0.866, Loss: 0.519
Epoch 3 Batch 80/312 - Train Accuracy: 0.875, Validation Accuracy: 0.853, Loss: 0.440
Epoch 3 Batch 81/312 - Train Accuracy: 0.848, Validation Accuracy: 0.857, Loss: 0.482
Epoch 3 Batch 82/312 - Train Accuracy: 0.853, Validation Accuracy: 0.862, Loss: 0.462
Epoch 3 Batch 83/312 - Train Accuracy: 0.857, Validation Accuracy: 0.866, Loss: 0.470
Epoch 3 Batch 84/312 - Train Accuracy: 0.884, Validation Accuracy: 0.866, Loss: 0.426
Epoch 3 Batch 85/312 - Train Accuracy: 0.866, Validation Accuracy: 0.853, Loss: 0.434
Epoch 3 Batch 86/312 - Train Accuracy: 0.871, Validation Accuracy: 0.848, Loss: 0.459
Epoch 3 Batch 87/312 - Train Accuracy: 0.866, Validation Accuracy: 0.848, Loss: 0.465
Epoch 3 Batch 88/312 - Train Accuracy: 0.875, Validation Accuracy: 0.844, Loss: 0.455
Epoch 3 Batch 89/312 - Train Accuracy: 0.839, Validation Accuracy: 0.848, Loss: 0.565
Epoch 3 Batch 90/312 - Train Accuracy: 0.781, Validation Accuracy: 0.866, Loss: 0.685
Epoch 3 Batch 91/312 - Train Accuracy: 0.888, Validation Accuracy: 0.862, Loss: 0.356
Epoch 3 Batch 92/312 - Train Accuracy: 0.772, Validation Accuracy: 0.848, Loss: 0.576
Epoch 3 Batch 93/312 - Train Accuracy: 0.844, Validation Accuracy: 0.866, Loss: 0.555
Epoch 3 Batch 94/312 - Train Accuracy: 0.848, Validation Accuracy: 0.857, Loss: 0.475
Epoch 3 Batch 95/312 - Train Accuracy: 0.875, Validation Accuracy: 0.844, Loss: 0.345
Epoch 3 Batch 96/312 - Train Accuracy: 0.826, Validation Accuracy: 0.853, Loss: 0.482
Epoch 3 Batch 97/312 - Train Accuracy: 0.839, Validation Accuracy: 0.857, Loss: 0.517
Epoch 3 Batch 98/312 - Train Accuracy: 0.848, Validation Accuracy: 0.826, Loss: 0.445
Epoch 3 Batch 99/312 - Train Accuracy: 0.884, Validation Accuracy: 0.839, Loss: 0.441
Epoch 3 Batch 100/312 - Train Accuracy: 0.804, Validation Accuracy: 0.853, Loss: 0.626
Epoch 3 Batch 101/312 - Train Accuracy: 0.853, Validation Accuracy: 0.839, Loss: 0.400
Epoch 3 Batch 102/312 - Train Accuracy: 0.826, Validation Accuracy: 0.835, Loss: 0.463
Epoch 3 Batch 103/312 - Train Accuracy: 0.871, Validation Accuracy: 0.844, Loss: 0.436
Epoch 3 Batch 104/312 - Train Accuracy: 0.875, Validation Accuracy: 0.830, Loss: 0.386
Epoch 3 Batch 105/312 - Train Accuracy: 0.804, Validation Accuracy: 0.830, Loss: 0.626
Epoch 3 Batch 106/312 - Train Accuracy: 0.826, Validation Accuracy: 0.844, Loss: 0.574
Epoch 3 Batch 107/312 - Train Accuracy: 0.808, Validation Accuracy: 0.826, Loss: 0.584
Epoch 3 Batch 108/312 - Train Accuracy: 0.893, Validation Accuracy: 0.804, Loss: 0.407
Epoch 3 Batch 109/312 - Train Accuracy: 0.786, Validation Accuracy: 0.844, Loss: 0.665
Epoch 3 Batch 110/312 - Train Accuracy: 0.862, Validation Accuracy: 0.844, Loss: 0.472
Epoch 3 Batch 111/312 - Train Accuracy: 0.844, Validation Accuracy: 0.839, Loss: 0.578
Epoch 3 Batch 112/312 - Train Accuracy: 0.853, Validation Accuracy: 0.839, Loss: 0.499
Epoch 3 Batch 113/312 - Train Accuracy: 0.821, Validation Accuracy: 0.844, Loss: 0.528
Epoch 3 Batch 114/312 - Train Accuracy: 0.853, Validation Accuracy: 0.839, Loss: 0.429
Epoch 3 Batch 115/312 - Train Accuracy: 0.786, Validation Accuracy: 0.839, Loss: 0.582
Epoch 3 Batch 116/312 - Train Accuracy: 0.817, Validation Accuracy: 0.844, Loss: 0.625
Epoch 3 Batch 117/312 - Train Accuracy: 0.839, Validation Accuracy: 0.853, Loss: 0.465
Epoch 3 Batch 118/312 - Train Accuracy: 0.853, Validation Accuracy: 0.844, Loss: 0.497
Epoch 3 Batch 119/312 - Train Accuracy: 0.879, Validation Accuracy: 0.848, Loss: 0.421
Epoch 3 Batch 120/312 - Train Accuracy: 0.879, Validation Accuracy: 0.848, Loss: 0.396
Epoch 3 Batch 121/312 - Train Accuracy: 0.839, Validation Accuracy: 0.848, Loss: 0.564
Epoch 3 Batch 122/312 - Train Accuracy: 0.844, Validation Accuracy: 0.844, Loss: 0.473
Epoch 3 Batch 123/312 - Train Accuracy: 0.848, Validation Accuracy: 0.844, Loss: 0.455
Epoch 3 Batch 124/312 - Train Accuracy: 0.839, Validation Accuracy: 0.857, Loss: 0.506
Epoch 3 Batch 125/312 - Train Accuracy: 0.893, Validation Accuracy: 0.844, Loss: 0.396
Epoch 3 Batch 126/312 - Train Accuracy: 0.853, Validation Accuracy: 0.848, Loss: 0.520
Epoch 3 Batch 127/312 - Train Accuracy: 0.857, Validation Accuracy: 0.857, Loss: 0.457
Epoch 3 Batch 128/312 - Train Accuracy: 0.871, Validation Accuracy: 0.848, Loss: 0.394
Epoch 3 Batch 129/312 - Train Accuracy: 0.786, Validation Accuracy: 0.853, Loss: 0.621
Epoch 3 Batch 130/312 - Train Accuracy: 0.884, Validation Accuracy: 0.853, Loss: 0.377
Epoch 3 Batch 131/312 - Train Accuracy: 0.826, Validation Accuracy: 0.853, Loss: 0.581
Epoch 3 Batch 132/312 - Train Accuracy: 0.839, Validation Accuracy: 0.844, Loss: 0.492
Epoch 3 Batch 133/312 - Train Accuracy: 0.879, Validation Accuracy: 0.839, Loss: 0.393
Epoch 3 Batch 134/312 - Train Accuracy: 0.817, Validation Accuracy: 0.844, Loss: 0.544
Epoch 3 Batch 135/312 - Train Accuracy: 0.826, Validation Accuracy: 0.835, Loss: 0.494
Epoch 3 Batch 136/312 - Train Accuracy: 0.786, Validation Accuracy: 0.839, Loss: 0.660
Epoch 3 Batch 137/312 - Train Accuracy: 0.902, Validation Accuracy: 0.871, Loss: 0.454
Epoch 3 Batch 138/312 - Train Accuracy: 0.866, Validation Accuracy: 0.857, Loss: 0.427
Epoch 3 Batch 139/312 - Train Accuracy: 0.835, Validation Accuracy: 0.862, Loss: 0.539
Epoch 3 Batch 140/312 - Train Accuracy: 0.920, Validation Accuracy: 0.866, Loss: 0.333
Epoch 3 Batch 141/312 - Train Accuracy: 0.795, Validation Accuracy: 0.866, Loss: 0.615
Epoch 3 Batch 142/312 - Train Accuracy: 0.848, Validation Accuracy: 0.862, Loss: 0.451
Epoch 3 Batch 143/312 - Train Accuracy: 0.808, Validation Accuracy: 0.871, Loss: 0.567
Epoch 3 Batch 144/312 - Train Accuracy: 0.866, Validation Accuracy: 0.857, Loss: 0.543
Epoch 3 Batch 145/312 - Train Accuracy: 0.844, Validation Accuracy: 0.848, Loss: 0.458
Epoch 3 Batch 146/312 - Train Accuracy: 0.857, Validation Accuracy: 0.853, Loss: 0.483
Epoch 3 Batch 147/312 - Train Accuracy: 0.888, Validation Accuracy: 0.844, Loss: 0.436
Epoch 3 Batch 148/312 - Train Accuracy: 0.821, Validation Accuracy: 0.835, Loss: 0.510
Epoch 3 Batch 149/312 - Train Accuracy: 0.804, Validation Accuracy: 0.835, Loss: 0.532
Epoch 3 Batch 150/312 - Train Accuracy: 0.835, Validation Accuracy: 0.835, Loss: 0.561
Epoch 3 Batch 151/312 - Train Accuracy: 0.875, Validation Accuracy: 0.853, Loss: 0.410
Epoch 3 Batch 152/312 - Train Accuracy: 0.795, Validation Accuracy: 0.853, Loss: 0.584
Epoch 3 Batch 153/312 - Train Accuracy: 0.857, Validation Accuracy: 0.862, Loss: 0.540
Epoch 3 Batch 154/312 - Train Accuracy: 0.857, Validation Accuracy: 0.857, Loss: 0.471
Epoch 3 Batch 155/312 - Train Accuracy: 0.902, Validation Accuracy: 0.848, Loss: 0.412
Epoch 3 Batch 156/312 - Train Accuracy: 0.835, Validation Accuracy: 0.844, Loss: 0.491
Epoch 3 Batch 157/312 - Train Accuracy: 0.879, Validation Accuracy: 0.848, Loss: 0.456
Epoch 3 Batch 158/312 - Train Accuracy: 0.839, Validation Accuracy: 0.862, Loss: 0.531
Epoch 3 Batch 159/312 - Train Accuracy: 0.790, Validation Accuracy: 0.857, Loss: 0.546
Epoch 3 Batch 160/312 - Train Accuracy: 0.821, Validation Accuracy: 0.857, Loss: 0.549
Epoch 3 Batch 161/312 - Train Accuracy: 0.808, Validation Accuracy: 0.866, Loss: 0.546
Epoch 3 Batch 162/312 - Train Accuracy: 0.888, Validation Accuracy: 0.871, Loss: 0.429
Epoch 3 Batch 163/312 - Train Accuracy: 0.857, Validation Accuracy: 0.862, Loss: 0.442
Epoch 3 Batch 164/312 - Train Accuracy: 0.866, Validation Accuracy: 0.853, Loss: 0.382
Epoch 3 Batch 165/312 - Train Accuracy: 0.862, Validation Accuracy: 0.862, Loss: 0.433
Epoch 3 Batch 166/312 - Train Accuracy: 0.795, Validation Accuracy: 0.879, Loss: 0.620
Epoch 3 Batch 167/312 - Train Accuracy: 0.817, Validation Accuracy: 0.902, Loss: 0.557
Epoch 3 Batch 168/312 - Train Accuracy: 0.871, Validation Accuracy: 0.893, Loss: 0.529
Epoch 3 Batch 169/312 - Train Accuracy: 0.844, Validation Accuracy: 0.875, Loss: 0.483
Epoch 3 Batch 170/312 - Train Accuracy: 0.853, Validation Accuracy: 0.866, Loss: 0.470
Epoch 3 Batch 171/312 - Train Accuracy: 0.844, Validation Accuracy: 0.875, Loss: 0.501
Epoch 3 Batch 172/312 - Train Accuracy: 0.879, Validation Accuracy: 0.875, Loss: 0.417
Epoch 3 Batch 173/312 - Train Accuracy: 0.911, Validation Accuracy: 0.888, Loss: 0.382
Epoch 3 Batch 174/312 - Train Accuracy: 0.879, Validation Accuracy: 0.879, Loss: 0.454
Epoch 3 Batch 175/312 - Train Accuracy: 0.844, Validation Accuracy: 0.888, Loss: 0.543
Epoch 3 Batch 176/312 - Train Accuracy: 0.821, Validation Accuracy: 0.875, Loss: 0.524
Epoch 3 Batch 177/312 - Train Accuracy: 0.808, Validation Accuracy: 0.866, Loss: 0.560
Epoch 3 Batch 178/312 - Train Accuracy: 0.781, Validation Accuracy: 0.879, Loss: 0.594
Epoch 3 Batch 179/312 - Train Accuracy: 0.844, Validation Accuracy: 0.879, Loss: 0.485
Epoch 3 Batch 180/312 - Train Accuracy: 0.884, Validation Accuracy: 0.884, Loss: 0.445
Epoch 3 Batch 181/312 - Train Accuracy: 0.853, Validation Accuracy: 0.879, Loss: 0.402
Epoch 3 Batch 182/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.429
Epoch 3 Batch 183/312 - Train Accuracy: 0.844, Validation Accuracy: 0.871, Loss: 0.454
Epoch 3 Batch 184/312 - Train Accuracy: 0.866, Validation Accuracy: 0.866, Loss: 0.437
Epoch 3 Batch 185/312 - Train Accuracy: 0.839, Validation Accuracy: 0.862, Loss: 0.481
Epoch 3 Batch 186/312 - Train Accuracy: 0.848, Validation Accuracy: 0.862, Loss: 0.467
Epoch 3 Batch 187/312 - Train Accuracy: 0.862, Validation Accuracy: 0.888, Loss: 0.432
Epoch 3 Batch 188/312 - Train Accuracy: 0.812, Validation Accuracy: 0.875, Loss: 0.537
Epoch 3 Batch 189/312 - Train Accuracy: 0.817, Validation Accuracy: 0.884, Loss: 0.555
Epoch 3 Batch 190/312 - Train Accuracy: 0.830, Validation Accuracy: 0.871, Loss: 0.491
Epoch 3 Batch 191/312 - Train Accuracy: 0.884, Validation Accuracy: 0.862, Loss: 0.333
Epoch 3 Batch 192/312 - Train Accuracy: 0.875, Validation Accuracy: 0.866, Loss: 0.434
Epoch 3 Batch 193/312 - Train Accuracy: 0.906, Validation Accuracy: 0.879, Loss: 0.395
Epoch 3 Batch 194/312 - Train Accuracy: 0.844, Validation Accuracy: 0.875, Loss: 0.468
Epoch 3 Batch 195/312 - Train Accuracy: 0.884, Validation Accuracy: 0.879, Loss: 0.437
Epoch 3 Batch 196/312 - Train Accuracy: 0.862, Validation Accuracy: 0.875, Loss: 0.424
Epoch 3 Batch 197/312 - Train Accuracy: 0.893, Validation Accuracy: 0.862, Loss: 0.352
Epoch 3 Batch 198/312 - Train Accuracy: 0.893, Validation Accuracy: 0.875, Loss: 0.391
Epoch 3 Batch 199/312 - Train Accuracy: 0.839, Validation Accuracy: 0.884, Loss: 0.512
Epoch 3 Batch 200/312 - Train Accuracy: 0.879, Validation Accuracy: 0.884, Loss: 0.365
Epoch 3 Batch 201/312 - Train Accuracy: 0.848, Validation Accuracy: 0.879, Loss: 0.451
Epoch 3 Batch 202/312 - Train Accuracy: 0.786, Validation Accuracy: 0.871, Loss: 0.571
Epoch 3 Batch 203/312 - Train Accuracy: 0.844, Validation Accuracy: 0.875, Loss: 0.557
Epoch 3 Batch 204/312 - Train Accuracy: 0.871, Validation Accuracy: 0.871, Loss: 0.488
Epoch 3 Batch 205/312 - Train Accuracy: 0.754, Validation Accuracy: 0.875, Loss: 0.660
Epoch 3 Batch 206/312 - Train Accuracy: 0.857, Validation Accuracy: 0.875, Loss: 0.478
Epoch 3 Batch 207/312 - Train Accuracy: 0.821, Validation Accuracy: 0.866, Loss: 0.481
Epoch 3 Batch 208/312 - Train Accuracy: 0.902, Validation Accuracy: 0.871, Loss: 0.370
Epoch 3 Batch 209/312 - Train Accuracy: 0.862, Validation Accuracy: 0.871, Loss: 0.461
Epoch 3 Batch 210/312 - Train Accuracy: 0.879, Validation Accuracy: 0.875, Loss: 0.405
Epoch 3 Batch 211/312 - Train Accuracy: 0.871, Validation Accuracy: 0.879, Loss: 0.373
Epoch 3 Batch 212/312 - Train Accuracy: 0.853, Validation Accuracy: 0.888, Loss: 0.386
Epoch 3 Batch 213/312 - Train Accuracy: 0.804, Validation Accuracy: 0.893, Loss: 0.511
Epoch 3 Batch 214/312 - Train Accuracy: 0.830, Validation Accuracy: 0.893, Loss: 0.560
Epoch 3 Batch 215/312 - Train Accuracy: 0.830, Validation Accuracy: 0.888, Loss: 0.514
Epoch 3 Batch 216/312 - Train Accuracy: 0.848, Validation Accuracy: 0.884, Loss: 0.437
Epoch 3 Batch 217/312 - Train Accuracy: 0.875, Validation Accuracy: 0.884, Loss: 0.384
Epoch 3 Batch 218/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.436
Epoch 3 Batch 219/312 - Train Accuracy: 0.875, Validation Accuracy: 0.871, Loss: 0.471
Epoch 3 Batch 220/312 - Train Accuracy: 0.879, Validation Accuracy: 0.875, Loss: 0.383
Epoch 3 Batch 221/312 - Train Accuracy: 0.817, Validation Accuracy: 0.884, Loss: 0.517
Epoch 3 Batch 222/312 - Train Accuracy: 0.857, Validation Accuracy: 0.893, Loss: 0.443
Epoch 3 Batch 223/312 - Train Accuracy: 0.835, Validation Accuracy: 0.884, Loss: 0.521
Epoch 3 Batch 224/312 - Train Accuracy: 0.830, Validation Accuracy: 0.884, Loss: 0.552
Epoch 3 Batch 225/312 - Train Accuracy: 0.853, Validation Accuracy: 0.879, Loss: 0.543
Epoch 3 Batch 226/312 - Train Accuracy: 0.866, Validation Accuracy: 0.888, Loss: 0.427
Epoch 3 Batch 227/312 - Train Accuracy: 0.897, Validation Accuracy: 0.875, Loss: 0.395
Epoch 3 Batch 228/312 - Train Accuracy: 0.812, Validation Accuracy: 0.875, Loss: 0.526
Epoch 3 Batch 229/312 - Train Accuracy: 0.862, Validation Accuracy: 0.888, Loss: 0.407
Epoch 3 Batch 230/312 - Train Accuracy: 0.844, Validation Accuracy: 0.879, Loss: 0.481
Epoch 3 Batch 231/312 - Train Accuracy: 0.857, Validation Accuracy: 0.875, Loss: 0.484
Epoch 3 Batch 232/312 - Train Accuracy: 0.772, Validation Accuracy: 0.879, Loss: 0.568
Epoch 3 Batch 233/312 - Train Accuracy: 0.893, Validation Accuracy: 0.875, Loss: 0.417
Epoch 3 Batch 234/312 - Train Accuracy: 0.879, Validation Accuracy: 0.879, Loss: 0.414
Epoch 3 Batch 235/312 - Train Accuracy: 0.853, Validation Accuracy: 0.884, Loss: 0.476
Epoch 3 Batch 236/312 - Train Accuracy: 0.853, Validation Accuracy: 0.888, Loss: 0.543
Epoch 3 Batch 237/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.399
Epoch 3 Batch 238/312 - Train Accuracy: 0.839, Validation Accuracy: 0.888, Loss: 0.549
Epoch 3 Batch 239/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.400
Epoch 3 Batch 240/312 - Train Accuracy: 0.871, Validation Accuracy: 0.884, Loss: 0.429
Epoch 3 Batch 241/312 - Train Accuracy: 0.853, Validation Accuracy: 0.879, Loss: 0.531
Epoch 3 Batch 242/312 - Train Accuracy: 0.817, Validation Accuracy: 0.875, Loss: 0.508
Epoch 3 Batch 243/312 - Train Accuracy: 0.866, Validation Accuracy: 0.879, Loss: 0.396
Epoch 3 Batch 244/312 - Train Accuracy: 0.893, Validation Accuracy: 0.879, Loss: 0.376
Epoch 3 Batch 245/312 - Train Accuracy: 0.911, Validation Accuracy: 0.884, Loss: 0.379
Epoch 3 Batch 246/312 - Train Accuracy: 0.920, Validation Accuracy: 0.884, Loss: 0.350
Epoch 3 Batch 247/312 - Train Accuracy: 0.857, Validation Accuracy: 0.884, Loss: 0.459
Epoch 3 Batch 248/312 - Train Accuracy: 0.821, Validation Accuracy: 0.902, Loss: 0.539
Epoch 3 Batch 249/312 - Train Accuracy: 0.817, Validation Accuracy: 0.897, Loss: 0.511
Epoch 3 Batch 250/312 - Train Accuracy: 0.857, Validation Accuracy: 0.897, Loss: 0.391
Epoch 3 Batch 251/312 - Train Accuracy: 0.884, Validation Accuracy: 0.893, Loss: 0.403
Epoch 3 Batch 252/312 - Train Accuracy: 0.879, Validation Accuracy: 0.902, Loss: 0.424
Epoch 3 Batch 253/312 - Train Accuracy: 0.866, Validation Accuracy: 0.897, Loss: 0.445
Epoch 3 Batch 254/312 - Train Accuracy: 0.839, Validation Accuracy: 0.884, Loss: 0.513
Epoch 3 Batch 255/312 - Train Accuracy: 0.871, Validation Accuracy: 0.875, Loss: 0.425
Epoch 3 Batch 256/312 - Train Accuracy: 0.929, Validation Accuracy: 0.884, Loss: 0.287
Epoch 3 Batch 257/312 - Train Accuracy: 0.862, Validation Accuracy: 0.879, Loss: 0.422
Epoch 3 Batch 258/312 - Train Accuracy: 0.857, Validation Accuracy: 0.888, Loss: 0.508
Epoch 3 Batch 259/312 - Train Accuracy: 0.888, Validation Accuracy: 0.879, Loss: 0.325
Epoch 3 Batch 260/312 - Train Accuracy: 0.808, Validation Accuracy: 0.879, Loss: 0.540
Epoch 3 Batch 261/312 - Train Accuracy: 0.848, Validation Accuracy: 0.915, Loss: 0.457
Epoch 3 Batch 262/312 - Train Accuracy: 0.893, Validation Accuracy: 0.920, Loss: 0.353
Epoch 3 Batch 263/312 - Train Accuracy: 0.906, Validation Accuracy: 0.911, Loss: 0.334
Epoch 3 Batch 264/312 - Train Accuracy: 0.857, Validation Accuracy: 0.915, Loss: 0.410
Epoch 3 Batch 265/312 - Train Accuracy: 0.853, Validation Accuracy: 0.924, Loss: 0.457
Epoch 3 Batch 266/312 - Train Accuracy: 0.871, Validation Accuracy: 0.897, Loss: 0.430
Epoch 3 Batch 267/312 - Train Accuracy: 0.888, Validation Accuracy: 0.893, Loss: 0.368
Epoch 3 Batch 268/312 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.373
Epoch 3 Batch 269/312 - Train Accuracy: 0.902, Validation Accuracy: 0.888, Loss: 0.378
Epoch 3 Batch 270/312 - Train Accuracy: 0.911, Validation Accuracy: 0.888, Loss: 0.347
Epoch 3 Batch 271/312 - Train Accuracy: 0.844, Validation Accuracy: 0.893, Loss: 0.443
Epoch 3 Batch 272/312 - Train Accuracy: 0.902, Validation Accuracy: 0.893, Loss: 0.391
Epoch 3 Batch 273/312 - Train Accuracy: 0.924, Validation Accuracy: 0.888, Loss: 0.317
Epoch 3 Batch 274/312 - Train Accuracy: 0.862, Validation Accuracy: 0.888, Loss: 0.375
Epoch 3 Batch 275/312 - Train Accuracy: 0.893, Validation Accuracy: 0.906, Loss: 0.348
Epoch 3 Batch 276/312 - Train Accuracy: 0.821, Validation Accuracy: 0.906, Loss: 0.507
Epoch 3 Batch 277/312 - Train Accuracy: 0.924, Validation Accuracy: 0.906, Loss: 0.309
Epoch 3 Batch 278/312 - Train Accuracy: 0.835, Validation Accuracy: 0.906, Loss: 0.518
Epoch 3 Batch 279/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.414
Epoch 3 Batch 280/312 - Train Accuracy: 0.933, Validation Accuracy: 0.893, Loss: 0.255
Epoch 3 Batch 281/312 - Train Accuracy: 0.862, Validation Accuracy: 0.893, Loss: 0.410
Epoch 3 Batch 282/312 - Train Accuracy: 0.862, Validation Accuracy: 0.902, Loss: 0.387
Epoch 3 Batch 283/312 - Train Accuracy: 0.848, Validation Accuracy: 0.879, Loss: 0.452
Epoch 3 Batch 284/312 - Train Accuracy: 0.929, Validation Accuracy: 0.893, Loss: 0.265
Epoch 3 Batch 285/312 - Train Accuracy: 0.839, Validation Accuracy: 0.893, Loss: 0.467
Epoch 3 Batch 286/312 - Train Accuracy: 0.826, Validation Accuracy: 0.906, Loss: 0.529
Epoch 3 Batch 287/312 - Train Accuracy: 0.866, Validation Accuracy: 0.893, Loss: 0.373
Epoch 3 Batch 288/312 - Train Accuracy: 0.906, Validation Accuracy: 0.893, Loss: 0.341
Epoch 3 Batch 289/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.390
Epoch 3 Batch 290/312 - Train Accuracy: 0.915, Validation Accuracy: 0.888, Loss: 0.350
Epoch 3 Batch 291/312 - Train Accuracy: 0.911, Validation Accuracy: 0.884, Loss: 0.406
Epoch 3 Batch 292/312 - Train Accuracy: 0.866, Validation Accuracy: 0.888, Loss: 0.441
Epoch 3 Batch 293/312 - Train Accuracy: 0.844, Validation Accuracy: 0.897, Loss: 0.426
Epoch 3 Batch 294/312 - Train Accuracy: 0.853, Validation Accuracy: 0.897, Loss: 0.429
Epoch 3 Batch 295/312 - Train Accuracy: 0.875, Validation Accuracy: 0.902, Loss: 0.499
Epoch 3 Batch 296/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.478
Epoch 3 Batch 297/312 - Train Accuracy: 0.857, Validation Accuracy: 0.897, Loss: 0.428
Epoch 3 Batch 298/312 - Train Accuracy: 0.844, Validation Accuracy: 0.897, Loss: 0.470
Epoch 3 Batch 299/312 - Train Accuracy: 0.888, Validation Accuracy: 0.906, Loss: 0.388
Epoch 3 Batch 300/312 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.336
Epoch 3 Batch 301/312 - Train Accuracy: 0.857, Validation Accuracy: 0.902, Loss: 0.421
Epoch 3 Batch 302/312 - Train Accuracy: 0.830, Validation Accuracy: 0.911, Loss: 0.462
Epoch 3 Batch 303/312 - Train Accuracy: 0.835, Validation Accuracy: 0.888, Loss: 0.418
Epoch 3 Batch 304/312 - Train Accuracy: 0.875, Validation Accuracy: 0.875, Loss: 0.445
Epoch 3 Batch 305/312 - Train Accuracy: 0.871, Validation Accuracy: 0.897, Loss: 0.416
Epoch 3 Batch 306/312 - Train Accuracy: 0.888, Validation Accuracy: 0.920, Loss: 0.366
Epoch 3 Batch 307/312 - Train Accuracy: 0.853, Validation Accuracy: 0.902, Loss: 0.445
Epoch 3 Batch 308/312 - Train Accuracy: 0.857, Validation Accuracy: 0.906, Loss: 0.456
Epoch 3 Batch 309/312 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.371
Epoch 3 Batch 310/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.440
Epoch 4 Batch 0/312 - Train Accuracy: 0.853, Validation Accuracy: 0.884, Loss: 0.420
Epoch 4 Batch 1/312 - Train Accuracy: 0.911, Validation Accuracy: 0.884, Loss: 0.323
Epoch 4 Batch 2/312 - Train Accuracy: 0.862, Validation Accuracy: 0.902, Loss: 0.447
Epoch 4 Batch 3/312 - Train Accuracy: 0.857, Validation Accuracy: 0.906, Loss: 0.399
Epoch 4 Batch 4/312 - Train Accuracy: 0.844, Validation Accuracy: 0.893, Loss: 0.528
Epoch 4 Batch 5/312 - Train Accuracy: 0.866, Validation Accuracy: 0.888, Loss: 0.391
Epoch 4 Batch 6/312 - Train Accuracy: 0.884, Validation Accuracy: 0.888, Loss: 0.450
Epoch 4 Batch 7/312 - Train Accuracy: 0.902, Validation Accuracy: 0.884, Loss: 0.340
Epoch 4 Batch 8/312 - Train Accuracy: 0.830, Validation Accuracy: 0.884, Loss: 0.432
Epoch 4 Batch 9/312 - Train Accuracy: 0.871, Validation Accuracy: 0.879, Loss: 0.437
Epoch 4 Batch 10/312 - Train Accuracy: 0.862, Validation Accuracy: 0.879, Loss: 0.416
Epoch 4 Batch 11/312 - Train Accuracy: 0.911, Validation Accuracy: 0.884, Loss: 0.317
Epoch 4 Batch 12/312 - Train Accuracy: 0.893, Validation Accuracy: 0.888, Loss: 0.354
Epoch 4 Batch 13/312 - Train Accuracy: 0.839, Validation Accuracy: 0.888, Loss: 0.503
Epoch 4 Batch 14/312 - Train Accuracy: 0.888, Validation Accuracy: 0.884, Loss: 0.343
Epoch 4 Batch 15/312 - Train Accuracy: 0.911, Validation Accuracy: 0.884, Loss: 0.365
Epoch 4 Batch 16/312 - Train Accuracy: 0.844, Validation Accuracy: 0.897, Loss: 0.465
Epoch 4 Batch 17/312 - Train Accuracy: 0.879, Validation Accuracy: 0.897, Loss: 0.341
Epoch 4 Batch 18/312 - Train Accuracy: 0.853, Validation Accuracy: 0.897, Loss: 0.411
Epoch 4 Batch 19/312 - Train Accuracy: 0.897, Validation Accuracy: 0.902, Loss: 0.397
Epoch 4 Batch 20/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.409
Epoch 4 Batch 21/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.464
Epoch 4 Batch 22/312 - Train Accuracy: 0.933, Validation Accuracy: 0.893, Loss: 0.255
Epoch 4 Batch 23/312 - Train Accuracy: 0.911, Validation Accuracy: 0.897, Loss: 0.283
Epoch 4 Batch 24/312 - Train Accuracy: 0.875, Validation Accuracy: 0.897, Loss: 0.361
Epoch 4 Batch 25/312 - Train Accuracy: 0.862, Validation Accuracy: 0.893, Loss: 0.428
Epoch 4 Batch 26/312 - Train Accuracy: 0.844, Validation Accuracy: 0.884, Loss: 0.418
Epoch 4 Batch 27/312 - Train Accuracy: 0.902, Validation Accuracy: 0.893, Loss: 0.359
Epoch 4 Batch 28/312 - Train Accuracy: 0.866, Validation Accuracy: 0.902, Loss: 0.406
Epoch 4 Batch 29/312 - Train Accuracy: 0.835, Validation Accuracy: 0.897, Loss: 0.458
Epoch 4 Batch 30/312 - Train Accuracy: 0.888, Validation Accuracy: 0.902, Loss: 0.333
Epoch 4 Batch 31/312 - Train Accuracy: 0.902, Validation Accuracy: 0.902, Loss: 0.339
Epoch 4 Batch 32/312 - Train Accuracy: 0.839, Validation Accuracy: 0.906, Loss: 0.485
Epoch 4 Batch 33/312 - Train Accuracy: 0.942, Validation Accuracy: 0.897, Loss: 0.274
Epoch 4 Batch 34/312 - Train Accuracy: 0.871, Validation Accuracy: 0.897, Loss: 0.443
Epoch 4 Batch 35/312 - Train Accuracy: 0.920, Validation Accuracy: 0.897, Loss: 0.314
Epoch 4 Batch 36/312 - Train Accuracy: 0.857, Validation Accuracy: 0.897, Loss: 0.405
Epoch 4 Batch 37/312 - Train Accuracy: 0.893, Validation Accuracy: 0.897, Loss: 0.423
Epoch 4 Batch 38/312 - Train Accuracy: 0.871, Validation Accuracy: 0.897, Loss: 0.423
Epoch 4 Batch 39/312 - Train Accuracy: 0.875, Validation Accuracy: 0.893, Loss: 0.395
Epoch 4 Batch 40/312 - Train Accuracy: 0.915, Validation Accuracy: 0.888, Loss: 0.348
Epoch 4 Batch 41/312 - Train Accuracy: 0.835, Validation Accuracy: 0.897, Loss: 0.528
Epoch 4 Batch 42/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.297
Epoch 4 Batch 43/312 - Train Accuracy: 0.866, Validation Accuracy: 0.906, Loss: 0.425
Epoch 4 Batch 44/312 - Train Accuracy: 0.871, Validation Accuracy: 0.915, Loss: 0.428
Epoch 4 Batch 45/312 - Train Accuracy: 0.853, Validation Accuracy: 0.911, Loss: 0.416
Epoch 4 Batch 46/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.435
Epoch 4 Batch 47/312 - Train Accuracy: 0.862, Validation Accuracy: 0.911, Loss: 0.406
Epoch 4 Batch 48/312 - Train Accuracy: 0.875, Validation Accuracy: 0.906, Loss: 0.396
Epoch 4 Batch 49/312 - Train Accuracy: 0.808, Validation Accuracy: 0.897, Loss: 0.504
Epoch 4 Batch 50/312 - Train Accuracy: 0.875, Validation Accuracy: 0.893, Loss: 0.396
Epoch 4 Batch 51/312 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.339
Epoch 4 Batch 52/312 - Train Accuracy: 0.839, Validation Accuracy: 0.911, Loss: 0.497
Epoch 4 Batch 53/312 - Train Accuracy: 0.835, Validation Accuracy: 0.906, Loss: 0.451
Epoch 4 Batch 54/312 - Train Accuracy: 0.902, Validation Accuracy: 0.915, Loss: 0.347
Epoch 4 Batch 55/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.387
Epoch 4 Batch 56/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.385
Epoch 4 Batch 57/312 - Train Accuracy: 0.871, Validation Accuracy: 0.888, Loss: 0.406
Epoch 4 Batch 58/312 - Train Accuracy: 0.857, Validation Accuracy: 0.897, Loss: 0.426
Epoch 4 Batch 59/312 - Train Accuracy: 0.920, Validation Accuracy: 0.906, Loss: 0.287
Epoch 4 Batch 60/312 - Train Accuracy: 0.897, Validation Accuracy: 0.897, Loss: 0.313
Epoch 4 Batch 61/312 - Train Accuracy: 0.875, Validation Accuracy: 0.897, Loss: 0.412
Epoch 4 Batch 62/312 - Train Accuracy: 0.902, Validation Accuracy: 0.897, Loss: 0.316
Epoch 4 Batch 63/312 - Train Accuracy: 0.906, Validation Accuracy: 0.893, Loss: 0.374
Epoch 4 Batch 64/312 - Train Accuracy: 0.853, Validation Accuracy: 0.902, Loss: 0.446
Epoch 4 Batch 65/312 - Train Accuracy: 0.835, Validation Accuracy: 0.915, Loss: 0.481
Epoch 4 Batch 66/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.321
Epoch 4 Batch 67/312 - Train Accuracy: 0.893, Validation Accuracy: 0.911, Loss: 0.335
Epoch 4 Batch 68/312 - Train Accuracy: 0.897, Validation Accuracy: 0.911, Loss: 0.342
Epoch 4 Batch 69/312 - Train Accuracy: 0.911, Validation Accuracy: 0.897, Loss: 0.315
Epoch 4 Batch 70/312 - Train Accuracy: 0.866, Validation Accuracy: 0.906, Loss: 0.387
Epoch 4 Batch 71/312 - Train Accuracy: 0.893, Validation Accuracy: 0.897, Loss: 0.321
Epoch 4 Batch 72/312 - Train Accuracy: 0.879, Validation Accuracy: 0.902, Loss: 0.341
Epoch 4 Batch 73/312 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.319
Epoch 4 Batch 74/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.351
Epoch 4 Batch 75/312 - Train Accuracy: 0.830, Validation Accuracy: 0.915, Loss: 0.445
Epoch 4 Batch 76/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.325
Epoch 4 Batch 77/312 - Train Accuracy: 0.884, Validation Accuracy: 0.920, Loss: 0.377
Epoch 4 Batch 78/312 - Train Accuracy: 0.862, Validation Accuracy: 0.911, Loss: 0.425
Epoch 4 Batch 79/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.381
Epoch 4 Batch 80/312 - Train Accuracy: 0.920, Validation Accuracy: 0.906, Loss: 0.313
Epoch 4 Batch 81/312 - Train Accuracy: 0.875, Validation Accuracy: 0.902, Loss: 0.366
Epoch 4 Batch 82/312 - Train Accuracy: 0.893, Validation Accuracy: 0.911, Loss: 0.349
Epoch 4 Batch 83/312 - Train Accuracy: 0.879, Validation Accuracy: 0.906, Loss: 0.346
Epoch 4 Batch 84/312 - Train Accuracy: 0.933, Validation Accuracy: 0.911, Loss: 0.297
Epoch 4 Batch 85/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.308
Epoch 4 Batch 86/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.331
Epoch 4 Batch 87/312 - Train Accuracy: 0.906, Validation Accuracy: 0.911, Loss: 0.349
Epoch 4 Batch 88/312 - Train Accuracy: 0.933, Validation Accuracy: 0.911, Loss: 0.319
Epoch 4 Batch 89/312 - Train Accuracy: 0.888, Validation Accuracy: 0.906, Loss: 0.416
Epoch 4 Batch 90/312 - Train Accuracy: 0.830, Validation Accuracy: 0.911, Loss: 0.490
Epoch 4 Batch 91/312 - Train Accuracy: 0.929, Validation Accuracy: 0.906, Loss: 0.268
Epoch 4 Batch 92/312 - Train Accuracy: 0.826, Validation Accuracy: 0.906, Loss: 0.421
Epoch 4 Batch 93/312 - Train Accuracy: 0.884, Validation Accuracy: 0.906, Loss: 0.399
Epoch 4 Batch 94/312 - Train Accuracy: 0.884, Validation Accuracy: 0.906, Loss: 0.367
Epoch 4 Batch 95/312 - Train Accuracy: 0.933, Validation Accuracy: 0.897, Loss: 0.228
Epoch 4 Batch 96/312 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.345
Epoch 4 Batch 97/312 - Train Accuracy: 0.902, Validation Accuracy: 0.893, Loss: 0.366
Epoch 4 Batch 98/312 - Train Accuracy: 0.897, Validation Accuracy: 0.893, Loss: 0.318
Epoch 4 Batch 99/312 - Train Accuracy: 0.933, Validation Accuracy: 0.884, Loss: 0.293
Epoch 4 Batch 100/312 - Train Accuracy: 0.839, Validation Accuracy: 0.884, Loss: 0.445
Epoch 4 Batch 101/312 - Train Accuracy: 0.938, Validation Accuracy: 0.884, Loss: 0.275
Epoch 4 Batch 102/312 - Train Accuracy: 0.879, Validation Accuracy: 0.879, Loss: 0.347
Epoch 4 Batch 103/312 - Train Accuracy: 0.906, Validation Accuracy: 0.884, Loss: 0.310
Epoch 4 Batch 104/312 - Train Accuracy: 0.924, Validation Accuracy: 0.884, Loss: 0.279
Epoch 4 Batch 105/312 - Train Accuracy: 0.839, Validation Accuracy: 0.879, Loss: 0.464
Epoch 4 Batch 106/312 - Train Accuracy: 0.866, Validation Accuracy: 0.879, Loss: 0.416
Epoch 4 Batch 107/312 - Train Accuracy: 0.835, Validation Accuracy: 0.893, Loss: 0.439
Epoch 4 Batch 108/312 - Train Accuracy: 0.902, Validation Accuracy: 0.897, Loss: 0.307
Epoch 4 Batch 109/312 - Train Accuracy: 0.871, Validation Accuracy: 0.902, Loss: 0.508
Epoch 4 Batch 110/312 - Train Accuracy: 0.915, Validation Accuracy: 0.884, Loss: 0.319
Epoch 4 Batch 111/312 - Train Accuracy: 0.857, Validation Accuracy: 0.893, Loss: 0.421
Epoch 4 Batch 112/312 - Train Accuracy: 0.888, Validation Accuracy: 0.888, Loss: 0.394
Epoch 4 Batch 113/312 - Train Accuracy: 0.862, Validation Accuracy: 0.906, Loss: 0.381
Epoch 4 Batch 114/312 - Train Accuracy: 0.906, Validation Accuracy: 0.893, Loss: 0.315
Epoch 4 Batch 115/312 - Train Accuracy: 0.853, Validation Accuracy: 0.893, Loss: 0.443
Epoch 4 Batch 116/312 - Train Accuracy: 0.835, Validation Accuracy: 0.888, Loss: 0.488
Epoch 4 Batch 117/312 - Train Accuracy: 0.871, Validation Accuracy: 0.879, Loss: 0.363
Epoch 4 Batch 118/312 - Train Accuracy: 0.884, Validation Accuracy: 0.879, Loss: 0.355
Epoch 4 Batch 119/312 - Train Accuracy: 0.888, Validation Accuracy: 0.884, Loss: 0.330
Epoch 4 Batch 120/312 - Train Accuracy: 0.924, Validation Accuracy: 0.902, Loss: 0.281
Epoch 4 Batch 121/312 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.424
Epoch 4 Batch 122/312 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.346
Epoch 4 Batch 123/312 - Train Accuracy: 0.888, Validation Accuracy: 0.893, Loss: 0.372
Epoch 4 Batch 124/312 - Train Accuracy: 0.862, Validation Accuracy: 0.897, Loss: 0.402
Epoch 4 Batch 125/312 - Train Accuracy: 0.933, Validation Accuracy: 0.888, Loss: 0.283
Epoch 4 Batch 126/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.431
Epoch 4 Batch 127/312 - Train Accuracy: 0.871, Validation Accuracy: 0.920, Loss: 0.334
Epoch 4 Batch 128/312 - Train Accuracy: 0.911, Validation Accuracy: 0.920, Loss: 0.283
Epoch 4 Batch 129/312 - Train Accuracy: 0.848, Validation Accuracy: 0.906, Loss: 0.453
Epoch 4 Batch 130/312 - Train Accuracy: 0.902, Validation Accuracy: 0.911, Loss: 0.293
Epoch 4 Batch 131/312 - Train Accuracy: 0.871, Validation Accuracy: 0.893, Loss: 0.451
Epoch 4 Batch 132/312 - Train Accuracy: 0.866, Validation Accuracy: 0.884, Loss: 0.376
Epoch 4 Batch 133/312 - Train Accuracy: 0.902, Validation Accuracy: 0.884, Loss: 0.289
Epoch 4 Batch 134/312 - Train Accuracy: 0.844, Validation Accuracy: 0.897, Loss: 0.404
Epoch 4 Batch 135/312 - Train Accuracy: 0.866, Validation Accuracy: 0.897, Loss: 0.387
Epoch 4 Batch 136/312 - Train Accuracy: 0.821, Validation Accuracy: 0.902, Loss: 0.485
Epoch 4 Batch 137/312 - Train Accuracy: 0.933, Validation Accuracy: 0.911, Loss: 0.327
Epoch 4 Batch 138/312 - Train Accuracy: 0.906, Validation Accuracy: 0.920, Loss: 0.323
Epoch 4 Batch 139/312 - Train Accuracy: 0.875, Validation Accuracy: 0.920, Loss: 0.405
Epoch 4 Batch 140/312 - Train Accuracy: 0.929, Validation Accuracy: 0.915, Loss: 0.262
Epoch 4 Batch 141/312 - Train Accuracy: 0.844, Validation Accuracy: 0.915, Loss: 0.456
Epoch 4 Batch 142/312 - Train Accuracy: 0.857, Validation Accuracy: 0.915, Loss: 0.333
Epoch 4 Batch 143/312 - Train Accuracy: 0.871, Validation Accuracy: 0.915, Loss: 0.426
Epoch 4 Batch 144/312 - Train Accuracy: 0.875, Validation Accuracy: 0.911, Loss: 0.433
Epoch 4 Batch 145/312 - Train Accuracy: 0.875, Validation Accuracy: 0.915, Loss: 0.341
Epoch 4 Batch 146/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.351
Epoch 4 Batch 147/312 - Train Accuracy: 0.888, Validation Accuracy: 0.911, Loss: 0.319
Epoch 4 Batch 148/312 - Train Accuracy: 0.866, Validation Accuracy: 0.924, Loss: 0.386
Epoch 4 Batch 149/312 - Train Accuracy: 0.862, Validation Accuracy: 0.915, Loss: 0.395
Epoch 4 Batch 150/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.416
Epoch 4 Batch 151/312 - Train Accuracy: 0.906, Validation Accuracy: 0.906, Loss: 0.299
Epoch 4 Batch 152/312 - Train Accuracy: 0.804, Validation Accuracy: 0.902, Loss: 0.473
Epoch 4 Batch 153/312 - Train Accuracy: 0.875, Validation Accuracy: 0.902, Loss: 0.406
Epoch 4 Batch 154/312 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.348
Epoch 4 Batch 155/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.307
Epoch 4 Batch 156/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.355
Epoch 4 Batch 157/312 - Train Accuracy: 0.938, Validation Accuracy: 0.893, Loss: 0.312
Epoch 4 Batch 158/312 - Train Accuracy: 0.875, Validation Accuracy: 0.888, Loss: 0.398
Epoch 4 Batch 159/312 - Train Accuracy: 0.857, Validation Accuracy: 0.897, Loss: 0.430
Epoch 4 Batch 160/312 - Train Accuracy: 0.862, Validation Accuracy: 0.902, Loss: 0.419
Epoch 4 Batch 161/312 - Train Accuracy: 0.835, Validation Accuracy: 0.897, Loss: 0.410
Epoch 4 Batch 162/312 - Train Accuracy: 0.915, Validation Accuracy: 0.888, Loss: 0.316
Epoch 4 Batch 163/312 - Train Accuracy: 0.897, Validation Accuracy: 0.902, Loss: 0.347
Epoch 4 Batch 164/312 - Train Accuracy: 0.920, Validation Accuracy: 0.911, Loss: 0.270
Epoch 4 Batch 165/312 - Train Accuracy: 0.924, Validation Accuracy: 0.911, Loss: 0.302
Epoch 4 Batch 166/312 - Train Accuracy: 0.821, Validation Accuracy: 0.920, Loss: 0.476
Epoch 4 Batch 167/312 - Train Accuracy: 0.866, Validation Accuracy: 0.920, Loss: 0.408
Epoch 4 Batch 168/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.375
Epoch 4 Batch 169/312 - Train Accuracy: 0.893, Validation Accuracy: 0.924, Loss: 0.346
Epoch 4 Batch 170/312 - Train Accuracy: 0.893, Validation Accuracy: 0.933, Loss: 0.342
Epoch 4 Batch 171/312 - Train Accuracy: 0.893, Validation Accuracy: 0.929, Loss: 0.360
Epoch 4 Batch 172/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.288
Epoch 4 Batch 173/312 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.273
Epoch 4 Batch 174/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.332
Epoch 4 Batch 175/312 - Train Accuracy: 0.875, Validation Accuracy: 0.915, Loss: 0.398
Epoch 4 Batch 176/312 - Train Accuracy: 0.857, Validation Accuracy: 0.915, Loss: 0.403
Epoch 4 Batch 177/312 - Train Accuracy: 0.839, Validation Accuracy: 0.920, Loss: 0.435
Epoch 4 Batch 178/312 - Train Accuracy: 0.830, Validation Accuracy: 0.915, Loss: 0.454
Epoch 4 Batch 179/312 - Train Accuracy: 0.884, Validation Accuracy: 0.915, Loss: 0.374
Epoch 4 Batch 180/312 - Train Accuracy: 0.920, Validation Accuracy: 0.915, Loss: 0.329
Epoch 4 Batch 181/312 - Train Accuracy: 0.897, Validation Accuracy: 0.911, Loss: 0.294
Epoch 4 Batch 182/312 - Train Accuracy: 0.915, Validation Accuracy: 0.911, Loss: 0.312
Epoch 4 Batch 183/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.350
Epoch 4 Batch 184/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.331
Epoch 4 Batch 185/312 - Train Accuracy: 0.875, Validation Accuracy: 0.920, Loss: 0.369
Epoch 4 Batch 186/312 - Train Accuracy: 0.857, Validation Accuracy: 0.911, Loss: 0.360
Epoch 4 Batch 187/312 - Train Accuracy: 0.888, Validation Accuracy: 0.911, Loss: 0.320
Epoch 4 Batch 188/312 - Train Accuracy: 0.866, Validation Accuracy: 0.906, Loss: 0.405
Epoch 4 Batch 189/312 - Train Accuracy: 0.844, Validation Accuracy: 0.906, Loss: 0.418
Epoch 4 Batch 190/312 - Train Accuracy: 0.875, Validation Accuracy: 0.911, Loss: 0.357
Epoch 4 Batch 191/312 - Train Accuracy: 0.902, Validation Accuracy: 0.915, Loss: 0.254
Epoch 4 Batch 192/312 - Train Accuracy: 0.911, Validation Accuracy: 0.915, Loss: 0.316
Epoch 4 Batch 193/312 - Train Accuracy: 0.920, Validation Accuracy: 0.911, Loss: 0.294
Epoch 4 Batch 194/312 - Train Accuracy: 0.871, Validation Accuracy: 0.911, Loss: 0.379
Epoch 4 Batch 195/312 - Train Accuracy: 0.929, Validation Accuracy: 0.906, Loss: 0.315
Epoch 4 Batch 196/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.312
Epoch 4 Batch 197/312 - Train Accuracy: 0.915, Validation Accuracy: 0.920, Loss: 0.252
Epoch 4 Batch 198/312 - Train Accuracy: 0.915, Validation Accuracy: 0.915, Loss: 0.281
Epoch 4 Batch 199/312 - Train Accuracy: 0.857, Validation Accuracy: 0.924, Loss: 0.416
Epoch 4 Batch 200/312 - Train Accuracy: 0.920, Validation Accuracy: 0.915, Loss: 0.270
Epoch 4 Batch 201/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.341
Epoch 4 Batch 202/312 - Train Accuracy: 0.830, Validation Accuracy: 0.902, Loss: 0.443
Epoch 4 Batch 203/312 - Train Accuracy: 0.875, Validation Accuracy: 0.902, Loss: 0.424
Epoch 4 Batch 204/312 - Train Accuracy: 0.911, Validation Accuracy: 0.911, Loss: 0.375
Epoch 4 Batch 205/312 - Train Accuracy: 0.808, Validation Accuracy: 0.920, Loss: 0.525
Epoch 4 Batch 206/312 - Train Accuracy: 0.879, Validation Accuracy: 0.906, Loss: 0.363
Epoch 4 Batch 207/312 - Train Accuracy: 0.848, Validation Accuracy: 0.911, Loss: 0.373
Epoch 4 Batch 208/312 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.291
Epoch 4 Batch 209/312 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.351
Epoch 4 Batch 210/312 - Train Accuracy: 0.915, Validation Accuracy: 0.906, Loss: 0.309
Epoch 4 Batch 211/312 - Train Accuracy: 0.884, Validation Accuracy: 0.911, Loss: 0.294
Epoch 4 Batch 212/312 - Train Accuracy: 0.920, Validation Accuracy: 0.911, Loss: 0.274
Epoch 4 Batch 213/312 - Train Accuracy: 0.884, Validation Accuracy: 0.915, Loss: 0.390
Epoch 4 Batch 214/312 - Train Accuracy: 0.857, Validation Accuracy: 0.911, Loss: 0.431
Epoch 4 Batch 215/312 - Train Accuracy: 0.835, Validation Accuracy: 0.897, Loss: 0.397
Epoch 4 Batch 216/312 - Train Accuracy: 0.915, Validation Accuracy: 0.893, Loss: 0.334
Epoch 4 Batch 217/312 - Train Accuracy: 0.906, Validation Accuracy: 0.906, Loss: 0.307
Epoch 4 Batch 218/312 - Train Accuracy: 0.942, Validation Accuracy: 0.911, Loss: 0.313
Epoch 4 Batch 219/312 - Train Accuracy: 0.911, Validation Accuracy: 0.888, Loss: 0.348
Epoch 4 Batch 220/312 - Train Accuracy: 0.920, Validation Accuracy: 0.906, Loss: 0.275
Epoch 4 Batch 221/312 - Train Accuracy: 0.857, Validation Accuracy: 0.920, Loss: 0.413
Epoch 4 Batch 222/312 - Train Accuracy: 0.902, Validation Accuracy: 0.915, Loss: 0.335
Epoch 4 Batch 223/312 - Train Accuracy: 0.879, Validation Accuracy: 0.897, Loss: 0.398
Epoch 4 Batch 224/312 - Train Accuracy: 0.848, Validation Accuracy: 0.911, Loss: 0.429
Epoch 4 Batch 225/312 - Train Accuracy: 0.875, Validation Accuracy: 0.920, Loss: 0.408
Epoch 4 Batch 226/312 - Train Accuracy: 0.884, Validation Accuracy: 0.911, Loss: 0.329
Epoch 4 Batch 227/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.296
Epoch 4 Batch 228/312 - Train Accuracy: 0.848, Validation Accuracy: 0.911, Loss: 0.411
Epoch 4 Batch 229/312 - Train Accuracy: 0.911, Validation Accuracy: 0.915, Loss: 0.309
Epoch 4 Batch 230/312 - Train Accuracy: 0.871, Validation Accuracy: 0.906, Loss: 0.363
Epoch 4 Batch 231/312 - Train Accuracy: 0.879, Validation Accuracy: 0.920, Loss: 0.362
Epoch 4 Batch 232/312 - Train Accuracy: 0.830, Validation Accuracy: 0.924, Loss: 0.467
Epoch 4 Batch 233/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.301
Epoch 4 Batch 234/312 - Train Accuracy: 0.924, Validation Accuracy: 0.920, Loss: 0.293
Epoch 4 Batch 235/312 - Train Accuracy: 0.879, Validation Accuracy: 0.915, Loss: 0.362
Epoch 4 Batch 236/312 - Train Accuracy: 0.875, Validation Accuracy: 0.911, Loss: 0.414
Epoch 4 Batch 237/312 - Train Accuracy: 0.915, Validation Accuracy: 0.915, Loss: 0.299
Epoch 4 Batch 238/312 - Train Accuracy: 0.879, Validation Accuracy: 0.915, Loss: 0.418
Epoch 4 Batch 239/312 - Train Accuracy: 0.897, Validation Accuracy: 0.911, Loss: 0.312
Epoch 4 Batch 240/312 - Train Accuracy: 0.888, Validation Accuracy: 0.906, Loss: 0.321
Epoch 4 Batch 241/312 - Train Accuracy: 0.879, Validation Accuracy: 0.897, Loss: 0.406
Epoch 4 Batch 242/312 - Train Accuracy: 0.835, Validation Accuracy: 0.893, Loss: 0.407
Epoch 4 Batch 243/312 - Train Accuracy: 0.893, Validation Accuracy: 0.897, Loss: 0.293
Epoch 4 Batch 244/312 - Train Accuracy: 0.915, Validation Accuracy: 0.893, Loss: 0.272
Epoch 4 Batch 245/312 - Train Accuracy: 0.929, Validation Accuracy: 0.888, Loss: 0.278
Epoch 4 Batch 246/312 - Train Accuracy: 0.929, Validation Accuracy: 0.893, Loss: 0.270
Epoch 4 Batch 247/312 - Train Accuracy: 0.875, Validation Accuracy: 0.906, Loss: 0.342
Epoch 4 Batch 248/312 - Train Accuracy: 0.862, Validation Accuracy: 0.906, Loss: 0.420
Epoch 4 Batch 249/312 - Train Accuracy: 0.879, Validation Accuracy: 0.906, Loss: 0.383
Epoch 4 Batch 250/312 - Train Accuracy: 0.929, Validation Accuracy: 0.924, Loss: 0.294
Epoch 4 Batch 251/312 - Train Accuracy: 0.915, Validation Accuracy: 0.924, Loss: 0.304
Epoch 4 Batch 252/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.337
Epoch 4 Batch 253/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.343
Epoch 4 Batch 254/312 - Train Accuracy: 0.853, Validation Accuracy: 0.938, Loss: 0.403
Epoch 4 Batch 255/312 - Train Accuracy: 0.951, Validation Accuracy: 0.933, Loss: 0.318
Epoch 4 Batch 256/312 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.214
Epoch 4 Batch 257/312 - Train Accuracy: 0.906, Validation Accuracy: 0.938, Loss: 0.325
Epoch 4 Batch 258/312 - Train Accuracy: 0.862, Validation Accuracy: 0.933, Loss: 0.409
Epoch 4 Batch 259/312 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.228
Epoch 4 Batch 260/312 - Train Accuracy: 0.862, Validation Accuracy: 0.929, Loss: 0.440
Epoch 4 Batch 261/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.347
Epoch 4 Batch 262/312 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.277
Epoch 4 Batch 263/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.244
Epoch 4 Batch 264/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.305
Epoch 4 Batch 265/312 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.342
Epoch 4 Batch 266/312 - Train Accuracy: 0.884, Validation Accuracy: 0.924, Loss: 0.344
Epoch 4 Batch 267/312 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.286
Epoch 4 Batch 268/312 - Train Accuracy: 0.933, Validation Accuracy: 0.924, Loss: 0.279
Epoch 4 Batch 269/312 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.269
Epoch 4 Batch 270/312 - Train Accuracy: 0.942, Validation Accuracy: 0.929, Loss: 0.251
Epoch 4 Batch 271/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.355
Epoch 4 Batch 272/312 - Train Accuracy: 0.942, Validation Accuracy: 0.911, Loss: 0.300
Epoch 4 Batch 273/312 - Train Accuracy: 0.942, Validation Accuracy: 0.911, Loss: 0.229
Epoch 4 Batch 274/312 - Train Accuracy: 0.884, Validation Accuracy: 0.911, Loss: 0.291
Epoch 4 Batch 275/312 - Train Accuracy: 0.955, Validation Accuracy: 0.924, Loss: 0.245
Epoch 4 Batch 276/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.390
Epoch 4 Batch 277/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.236
Epoch 4 Batch 278/312 - Train Accuracy: 0.902, Validation Accuracy: 0.915, Loss: 0.397
Epoch 4 Batch 279/312 - Train Accuracy: 0.893, Validation Accuracy: 0.915, Loss: 0.303
Epoch 4 Batch 280/312 - Train Accuracy: 0.929, Validation Accuracy: 0.911, Loss: 0.197
Epoch 4 Batch 281/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.329
Epoch 4 Batch 282/312 - Train Accuracy: 0.906, Validation Accuracy: 0.924, Loss: 0.278
Epoch 4 Batch 283/312 - Train Accuracy: 0.875, Validation Accuracy: 0.920, Loss: 0.341
Epoch 4 Batch 284/312 - Train Accuracy: 0.969, Validation Accuracy: 0.924, Loss: 0.180
Epoch 4 Batch 285/312 - Train Accuracy: 0.875, Validation Accuracy: 0.924, Loss: 0.350
Epoch 4 Batch 286/312 - Train Accuracy: 0.866, Validation Accuracy: 0.924, Loss: 0.401
Epoch 4 Batch 287/312 - Train Accuracy: 0.911, Validation Accuracy: 0.920, Loss: 0.278
Epoch 4 Batch 288/312 - Train Accuracy: 0.920, Validation Accuracy: 0.915, Loss: 0.254
Epoch 4 Batch 289/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.306
Epoch 4 Batch 290/312 - Train Accuracy: 0.938, Validation Accuracy: 0.915, Loss: 0.253
Epoch 4 Batch 291/312 - Train Accuracy: 0.911, Validation Accuracy: 0.906, Loss: 0.306
Epoch 4 Batch 292/312 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.325
Epoch 4 Batch 293/312 - Train Accuracy: 0.871, Validation Accuracy: 0.915, Loss: 0.307
Epoch 4 Batch 294/312 - Train Accuracy: 0.924, Validation Accuracy: 0.920, Loss: 0.313
Epoch 4 Batch 295/312 - Train Accuracy: 0.893, Validation Accuracy: 0.920, Loss: 0.390
Epoch 4 Batch 296/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.367
Epoch 4 Batch 297/312 - Train Accuracy: 0.879, Validation Accuracy: 0.924, Loss: 0.326
Epoch 4 Batch 298/312 - Train Accuracy: 0.879, Validation Accuracy: 0.924, Loss: 0.355
Epoch 4 Batch 299/312 - Train Accuracy: 0.902, Validation Accuracy: 0.929, Loss: 0.295
Epoch 4 Batch 300/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.245
Epoch 4 Batch 301/312 - Train Accuracy: 0.888, Validation Accuracy: 0.929, Loss: 0.315
Epoch 4 Batch 302/312 - Train Accuracy: 0.884, Validation Accuracy: 0.929, Loss: 0.337
Epoch 4 Batch 303/312 - Train Accuracy: 0.888, Validation Accuracy: 0.929, Loss: 0.326
Epoch 4 Batch 304/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.327
Epoch 4 Batch 305/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.301
Epoch 4 Batch 306/312 - Train Accuracy: 0.911, Validation Accuracy: 0.929, Loss: 0.286
Epoch 4 Batch 307/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.335
Epoch 4 Batch 308/312 - Train Accuracy: 0.906, Validation Accuracy: 0.920, Loss: 0.355
Epoch 4 Batch 309/312 - Train Accuracy: 0.911, Validation Accuracy: 0.915, Loss: 0.280
Epoch 4 Batch 310/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.347
Epoch 5 Batch 0/312 - Train Accuracy: 0.884, Validation Accuracy: 0.920, Loss: 0.316
Epoch 5 Batch 1/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.242
Epoch 5 Batch 2/312 - Train Accuracy: 0.893, Validation Accuracy: 0.915, Loss: 0.336
Epoch 5 Batch 3/312 - Train Accuracy: 0.906, Validation Accuracy: 0.920, Loss: 0.308
Epoch 5 Batch 4/312 - Train Accuracy: 0.879, Validation Accuracy: 0.915, Loss: 0.403
Epoch 5 Batch 5/312 - Train Accuracy: 0.911, Validation Accuracy: 0.911, Loss: 0.288
Epoch 5 Batch 6/312 - Train Accuracy: 0.902, Validation Accuracy: 0.915, Loss: 0.366
Epoch 5 Batch 7/312 - Train Accuracy: 0.938, Validation Accuracy: 0.915, Loss: 0.259
Epoch 5 Batch 8/312 - Train Accuracy: 0.915, Validation Accuracy: 0.902, Loss: 0.300
Epoch 5 Batch 9/312 - Train Accuracy: 0.857, Validation Accuracy: 0.902, Loss: 0.353
Epoch 5 Batch 10/312 - Train Accuracy: 0.879, Validation Accuracy: 0.906, Loss: 0.362
Epoch 5 Batch 11/312 - Train Accuracy: 0.938, Validation Accuracy: 0.906, Loss: 0.242
Epoch 5 Batch 12/312 - Train Accuracy: 0.915, Validation Accuracy: 0.897, Loss: 0.269
Epoch 5 Batch 13/312 - Train Accuracy: 0.848, Validation Accuracy: 0.906, Loss: 0.407
Epoch 5 Batch 14/312 - Train Accuracy: 0.911, Validation Accuracy: 0.897, Loss: 0.253
Epoch 5 Batch 15/312 - Train Accuracy: 0.920, Validation Accuracy: 0.884, Loss: 0.278
Epoch 5 Batch 16/312 - Train Accuracy: 0.857, Validation Accuracy: 0.902, Loss: 0.351
Epoch 5 Batch 17/312 - Train Accuracy: 0.933, Validation Accuracy: 0.915, Loss: 0.257
Epoch 5 Batch 18/312 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.297
Epoch 5 Batch 19/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.296
Epoch 5 Batch 20/312 - Train Accuracy: 0.897, Validation Accuracy: 0.915, Loss: 0.298
Epoch 5 Batch 21/312 - Train Accuracy: 0.906, Validation Accuracy: 0.911, Loss: 0.325
Epoch 5 Batch 22/312 - Train Accuracy: 0.942, Validation Accuracy: 0.915, Loss: 0.194
Epoch 5 Batch 23/312 - Train Accuracy: 0.933, Validation Accuracy: 0.920, Loss: 0.212
Epoch 5 Batch 24/312 - Train Accuracy: 0.911, Validation Accuracy: 0.929, Loss: 0.277
Epoch 5 Batch 25/312 - Train Accuracy: 0.884, Validation Accuracy: 0.920, Loss: 0.329
Epoch 5 Batch 26/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.316
Epoch 5 Batch 27/312 - Train Accuracy: 0.929, Validation Accuracy: 0.924, Loss: 0.268
Epoch 5 Batch 28/312 - Train Accuracy: 0.902, Validation Accuracy: 0.924, Loss: 0.310
Epoch 5 Batch 29/312 - Train Accuracy: 0.875, Validation Accuracy: 0.915, Loss: 0.344
Epoch 5 Batch 30/312 - Train Accuracy: 0.938, Validation Accuracy: 0.911, Loss: 0.258
Epoch 5 Batch 31/312 - Train Accuracy: 0.906, Validation Accuracy: 0.897, Loss: 0.263
Epoch 5 Batch 32/312 - Train Accuracy: 0.866, Validation Accuracy: 0.897, Loss: 0.374
Epoch 5 Batch 33/312 - Train Accuracy: 0.964, Validation Accuracy: 0.897, Loss: 0.187
Epoch 5 Batch 34/312 - Train Accuracy: 0.875, Validation Accuracy: 0.906, Loss: 0.336
Epoch 5 Batch 35/312 - Train Accuracy: 0.942, Validation Accuracy: 0.911, Loss: 0.233
Epoch 5 Batch 36/312 - Train Accuracy: 0.911, Validation Accuracy: 0.911, Loss: 0.309
Epoch 5 Batch 37/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.323
Epoch 5 Batch 38/312 - Train Accuracy: 0.902, Validation Accuracy: 0.911, Loss: 0.332
Epoch 5 Batch 39/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.300
Epoch 5 Batch 40/312 - Train Accuracy: 0.915, Validation Accuracy: 0.906, Loss: 0.262
Epoch 5 Batch 41/312 - Train Accuracy: 0.853, Validation Accuracy: 0.915, Loss: 0.420
Epoch 5 Batch 42/312 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.234
Epoch 5 Batch 43/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.324
Epoch 5 Batch 44/312 - Train Accuracy: 0.915, Validation Accuracy: 0.933, Loss: 0.307
Epoch 5 Batch 45/312 - Train Accuracy: 0.875, Validation Accuracy: 0.924, Loss: 0.325
Epoch 5 Batch 46/312 - Train Accuracy: 0.902, Validation Accuracy: 0.911, Loss: 0.329
Epoch 5 Batch 47/312 - Train Accuracy: 0.888, Validation Accuracy: 0.920, Loss: 0.289
Epoch 5 Batch 48/312 - Train Accuracy: 0.902, Validation Accuracy: 0.906, Loss: 0.301
Epoch 5 Batch 49/312 - Train Accuracy: 0.844, Validation Accuracy: 0.920, Loss: 0.401
Epoch 5 Batch 50/312 - Train Accuracy: 0.875, Validation Accuracy: 0.929, Loss: 0.304
Epoch 5 Batch 51/312 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.251
Epoch 5 Batch 52/312 - Train Accuracy: 0.871, Validation Accuracy: 0.929, Loss: 0.394
Epoch 5 Batch 53/312 - Train Accuracy: 0.888, Validation Accuracy: 0.942, Loss: 0.362
Epoch 5 Batch 54/312 - Train Accuracy: 0.933, Validation Accuracy: 0.942, Loss: 0.262
Epoch 5 Batch 55/312 - Train Accuracy: 0.902, Validation Accuracy: 0.929, Loss: 0.281
Epoch 5 Batch 56/312 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.294
Epoch 5 Batch 57/312 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.300
Epoch 5 Batch 58/312 - Train Accuracy: 0.884, Validation Accuracy: 0.924, Loss: 0.291
Epoch 5 Batch 59/312 - Train Accuracy: 0.933, Validation Accuracy: 0.920, Loss: 0.214
Epoch 5 Batch 60/312 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.220
Epoch 5 Batch 61/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.318
Epoch 5 Batch 62/312 - Train Accuracy: 0.929, Validation Accuracy: 0.915, Loss: 0.247
Epoch 5 Batch 63/312 - Train Accuracy: 0.920, Validation Accuracy: 0.929, Loss: 0.291
Epoch 5 Batch 64/312 - Train Accuracy: 0.875, Validation Accuracy: 0.929, Loss: 0.355
Epoch 5 Batch 65/312 - Train Accuracy: 0.866, Validation Accuracy: 0.933, Loss: 0.374
Epoch 5 Batch 66/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.243
Epoch 5 Batch 67/312 - Train Accuracy: 0.902, Validation Accuracy: 0.933, Loss: 0.256
Epoch 5 Batch 68/312 - Train Accuracy: 0.942, Validation Accuracy: 0.924, Loss: 0.250
Epoch 5 Batch 69/312 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.229
Epoch 5 Batch 70/312 - Train Accuracy: 0.920, Validation Accuracy: 0.929, Loss: 0.292
Epoch 5 Batch 71/312 - Train Accuracy: 0.915, Validation Accuracy: 0.920, Loss: 0.230
Epoch 5 Batch 72/312 - Train Accuracy: 0.915, Validation Accuracy: 0.920, Loss: 0.252
Epoch 5 Batch 73/312 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.230
Epoch 5 Batch 74/312 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.265
Epoch 5 Batch 75/312 - Train Accuracy: 0.871, Validation Accuracy: 0.938, Loss: 0.330
Epoch 5 Batch 76/312 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.239
Epoch 5 Batch 77/312 - Train Accuracy: 0.902, Validation Accuracy: 0.924, Loss: 0.297
Epoch 5 Batch 78/312 - Train Accuracy: 0.924, Validation Accuracy: 0.929, Loss: 0.321
Epoch 5 Batch 79/312 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.279
Epoch 5 Batch 80/312 - Train Accuracy: 0.929, Validation Accuracy: 0.924, Loss: 0.228
Epoch 5 Batch 81/312 - Train Accuracy: 0.897, Validation Accuracy: 0.924, Loss: 0.271
Epoch 5 Batch 82/312 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.255
Epoch 5 Batch 83/312 - Train Accuracy: 0.906, Validation Accuracy: 0.924, Loss: 0.264
Epoch 5 Batch 84/312 - Train Accuracy: 0.946, Validation Accuracy: 0.915, Loss: 0.214
Epoch 5 Batch 85/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.231
Epoch 5 Batch 86/312 - Train Accuracy: 0.960, Validation Accuracy: 0.929, Loss: 0.241
Epoch 5 Batch 87/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.267
Epoch 5 Batch 88/312 - Train Accuracy: 0.951, Validation Accuracy: 0.924, Loss: 0.219
Epoch 5 Batch 89/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.311
Epoch 5 Batch 90/312 - Train Accuracy: 0.884, Validation Accuracy: 0.915, Loss: 0.369
Epoch 5 Batch 91/312 - Train Accuracy: 0.938, Validation Accuracy: 0.920, Loss: 0.202
Epoch 5 Batch 92/312 - Train Accuracy: 0.888, Validation Accuracy: 0.920, Loss: 0.314
Epoch 5 Batch 93/312 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.295
Epoch 5 Batch 94/312 - Train Accuracy: 0.906, Validation Accuracy: 0.929, Loss: 0.295
Epoch 5 Batch 95/312 - Train Accuracy: 0.960, Validation Accuracy: 0.933, Loss: 0.164
Epoch 5 Batch 96/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.253
Epoch 5 Batch 97/312 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.274
Epoch 5 Batch 98/312 - Train Accuracy: 0.933, Validation Accuracy: 0.924, Loss: 0.220
Epoch 5 Batch 99/312 - Train Accuracy: 0.938, Validation Accuracy: 0.933, Loss: 0.221
Epoch 5 Batch 100/312 - Train Accuracy: 0.857, Validation Accuracy: 0.933, Loss: 0.346
Epoch 5 Batch 101/312 - Train Accuracy: 0.951, Validation Accuracy: 0.929, Loss: 0.206
Epoch 5 Batch 102/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.260
Epoch 5 Batch 103/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.229
Epoch 5 Batch 104/312 - Train Accuracy: 0.924, Validation Accuracy: 0.929, Loss: 0.212
Epoch 5 Batch 105/312 - Train Accuracy: 0.862, Validation Accuracy: 0.924, Loss: 0.355
Epoch 5 Batch 106/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.304
Epoch 5 Batch 107/312 - Train Accuracy: 0.884, Validation Accuracy: 0.929, Loss: 0.340
Epoch 5 Batch 108/312 - Train Accuracy: 0.906, Validation Accuracy: 0.911, Loss: 0.233
Epoch 5 Batch 109/312 - Train Accuracy: 0.871, Validation Accuracy: 0.924, Loss: 0.374
Epoch 5 Batch 110/312 - Train Accuracy: 0.933, Validation Accuracy: 0.924, Loss: 0.237
Epoch 5 Batch 111/312 - Train Accuracy: 0.893, Validation Accuracy: 0.920, Loss: 0.322
Epoch 5 Batch 112/312 - Train Accuracy: 0.888, Validation Accuracy: 0.920, Loss: 0.284
Epoch 5 Batch 113/312 - Train Accuracy: 0.893, Validation Accuracy: 0.920, Loss: 0.289
Epoch 5 Batch 114/312 - Train Accuracy: 0.929, Validation Accuracy: 0.920, Loss: 0.241
Epoch 5 Batch 115/312 - Train Accuracy: 0.893, Validation Accuracy: 0.920, Loss: 0.304
Epoch 5 Batch 116/312 - Train Accuracy: 0.853, Validation Accuracy: 0.924, Loss: 0.380
Epoch 5 Batch 117/312 - Train Accuracy: 0.884, Validation Accuracy: 0.933, Loss: 0.271
Epoch 5 Batch 118/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.239
Epoch 5 Batch 119/312 - Train Accuracy: 0.915, Validation Accuracy: 0.933, Loss: 0.224
Epoch 5 Batch 120/312 - Train Accuracy: 0.946, Validation Accuracy: 0.929, Loss: 0.208
Epoch 5 Batch 121/312 - Train Accuracy: 0.924, Validation Accuracy: 0.929, Loss: 0.342
Epoch 5 Batch 122/312 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.250
Epoch 5 Batch 123/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.286
Epoch 5 Batch 124/312 - Train Accuracy: 0.902, Validation Accuracy: 0.911, Loss: 0.291
Epoch 5 Batch 125/312 - Train Accuracy: 0.946, Validation Accuracy: 0.906, Loss: 0.217
Epoch 5 Batch 126/312 - Train Accuracy: 0.911, Validation Accuracy: 0.906, Loss: 0.286
Epoch 5 Batch 127/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.256
Epoch 5 Batch 128/312 - Train Accuracy: 0.951, Validation Accuracy: 0.906, Loss: 0.198
Epoch 5 Batch 129/312 - Train Accuracy: 0.893, Validation Accuracy: 0.911, Loss: 0.348
Epoch 5 Batch 130/312 - Train Accuracy: 0.920, Validation Accuracy: 0.911, Loss: 0.223
Epoch 5 Batch 131/312 - Train Accuracy: 0.866, Validation Accuracy: 0.915, Loss: 0.349
Epoch 5 Batch 132/312 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.297
Epoch 5 Batch 133/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.227
Epoch 5 Batch 134/312 - Train Accuracy: 0.888, Validation Accuracy: 0.929, Loss: 0.302
Epoch 5 Batch 135/312 - Train Accuracy: 0.893, Validation Accuracy: 0.933, Loss: 0.286
Epoch 5 Batch 136/312 - Train Accuracy: 0.853, Validation Accuracy: 0.929, Loss: 0.399
Epoch 5 Batch 137/312 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.243
Epoch 5 Batch 138/312 - Train Accuracy: 0.924, Validation Accuracy: 0.920, Loss: 0.249
Epoch 5 Batch 139/312 - Train Accuracy: 0.897, Validation Accuracy: 0.933, Loss: 0.315
Epoch 5 Batch 140/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.196
Epoch 5 Batch 141/312 - Train Accuracy: 0.897, Validation Accuracy: 0.938, Loss: 0.333
Epoch 5 Batch 142/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.235
Epoch 5 Batch 143/312 - Train Accuracy: 0.884, Validation Accuracy: 0.933, Loss: 0.340
Epoch 5 Batch 144/312 - Train Accuracy: 0.911, Validation Accuracy: 0.929, Loss: 0.330
Epoch 5 Batch 145/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.260
Epoch 5 Batch 146/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.264
Epoch 5 Batch 147/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.254
Epoch 5 Batch 148/312 - Train Accuracy: 0.879, Validation Accuracy: 0.924, Loss: 0.300
Epoch 5 Batch 149/312 - Train Accuracy: 0.893, Validation Accuracy: 0.929, Loss: 0.302
Epoch 5 Batch 150/312 - Train Accuracy: 0.902, Validation Accuracy: 0.933, Loss: 0.326
Epoch 5 Batch 151/312 - Train Accuracy: 0.942, Validation Accuracy: 0.929, Loss: 0.215
Epoch 5 Batch 152/312 - Train Accuracy: 0.848, Validation Accuracy: 0.929, Loss: 0.369
Epoch 5 Batch 153/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.315
Epoch 5 Batch 154/312 - Train Accuracy: 0.915, Validation Accuracy: 0.920, Loss: 0.260
Epoch 5 Batch 155/312 - Train Accuracy: 0.946, Validation Accuracy: 0.920, Loss: 0.217
Epoch 5 Batch 156/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.277
Epoch 5 Batch 157/312 - Train Accuracy: 0.946, Validation Accuracy: 0.906, Loss: 0.241
Epoch 5 Batch 158/312 - Train Accuracy: 0.906, Validation Accuracy: 0.911, Loss: 0.315
Epoch 5 Batch 159/312 - Train Accuracy: 0.879, Validation Accuracy: 0.920, Loss: 0.331
Epoch 5 Batch 160/312 - Train Accuracy: 0.884, Validation Accuracy: 0.933, Loss: 0.325
Epoch 5 Batch 161/312 - Train Accuracy: 0.871, Validation Accuracy: 0.942, Loss: 0.334
Epoch 5 Batch 162/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.234
Epoch 5 Batch 163/312 - Train Accuracy: 0.929, Validation Accuracy: 0.946, Loss: 0.256
Epoch 5 Batch 164/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.187
Epoch 5 Batch 165/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.224
Epoch 5 Batch 166/312 - Train Accuracy: 0.853, Validation Accuracy: 0.942, Loss: 0.382
Epoch 5 Batch 167/312 - Train Accuracy: 0.906, Validation Accuracy: 0.942, Loss: 0.289
Epoch 5 Batch 168/312 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.277
Epoch 5 Batch 169/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.263
Epoch 5 Batch 170/312 - Train Accuracy: 0.933, Validation Accuracy: 0.938, Loss: 0.260
Epoch 5 Batch 171/312 - Train Accuracy: 0.906, Validation Accuracy: 0.942, Loss: 0.284
Epoch 5 Batch 172/312 - Train Accuracy: 0.938, Validation Accuracy: 0.942, Loss: 0.216
Epoch 5 Batch 173/312 - Train Accuracy: 0.964, Validation Accuracy: 0.933, Loss: 0.208
Epoch 5 Batch 174/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.248
Epoch 5 Batch 175/312 - Train Accuracy: 0.897, Validation Accuracy: 0.942, Loss: 0.316
Epoch 5 Batch 176/312 - Train Accuracy: 0.888, Validation Accuracy: 0.933, Loss: 0.301
Epoch 5 Batch 177/312 - Train Accuracy: 0.871, Validation Accuracy: 0.924, Loss: 0.336
Epoch 5 Batch 178/312 - Train Accuracy: 0.879, Validation Accuracy: 0.924, Loss: 0.341
Epoch 5 Batch 179/312 - Train Accuracy: 0.897, Validation Accuracy: 0.938, Loss: 0.297
Epoch 5 Batch 180/312 - Train Accuracy: 0.929, Validation Accuracy: 0.946, Loss: 0.254
Epoch 5 Batch 181/312 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.216
Epoch 5 Batch 182/312 - Train Accuracy: 0.951, Validation Accuracy: 0.929, Loss: 0.227
Epoch 5 Batch 183/312 - Train Accuracy: 0.888, Validation Accuracy: 0.920, Loss: 0.279
Epoch 5 Batch 184/312 - Train Accuracy: 0.920, Validation Accuracy: 0.915, Loss: 0.249
Epoch 5 Batch 185/312 - Train Accuracy: 0.929, Validation Accuracy: 0.933, Loss: 0.294
Epoch 5 Batch 186/312 - Train Accuracy: 0.897, Validation Accuracy: 0.933, Loss: 0.281
Epoch 5 Batch 187/312 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.240
Epoch 5 Batch 188/312 - Train Accuracy: 0.884, Validation Accuracy: 0.938, Loss: 0.303
Epoch 5 Batch 189/312 - Train Accuracy: 0.853, Validation Accuracy: 0.938, Loss: 0.334
Epoch 5 Batch 190/312 - Train Accuracy: 0.902, Validation Accuracy: 0.946, Loss: 0.278
Epoch 5 Batch 191/312 - Train Accuracy: 0.929, Validation Accuracy: 0.942, Loss: 0.197
Epoch 5 Batch 192/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.243
Epoch 5 Batch 193/312 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.242
Epoch 5 Batch 194/312 - Train Accuracy: 0.893, Validation Accuracy: 0.933, Loss: 0.321
Epoch 5 Batch 195/312 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.236
Epoch 5 Batch 196/312 - Train Accuracy: 0.902, Validation Accuracy: 0.946, Loss: 0.240
Epoch 5 Batch 197/312 - Train Accuracy: 0.973, Validation Accuracy: 0.938, Loss: 0.188
Epoch 5 Batch 198/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.224
Epoch 5 Batch 199/312 - Train Accuracy: 0.884, Validation Accuracy: 0.946, Loss: 0.349
Epoch 5 Batch 200/312 - Train Accuracy: 0.938, Validation Accuracy: 0.938, Loss: 0.199
Epoch 5 Batch 201/312 - Train Accuracy: 0.942, Validation Accuracy: 0.929, Loss: 0.282
Epoch 5 Batch 202/312 - Train Accuracy: 0.884, Validation Accuracy: 0.920, Loss: 0.351
Epoch 5 Batch 203/312 - Train Accuracy: 0.888, Validation Accuracy: 0.911, Loss: 0.334
Epoch 5 Batch 204/312 - Train Accuracy: 0.915, Validation Accuracy: 0.924, Loss: 0.304
Epoch 5 Batch 205/312 - Train Accuracy: 0.839, Validation Accuracy: 0.929, Loss: 0.426
Epoch 5 Batch 206/312 - Train Accuracy: 0.879, Validation Accuracy: 0.911, Loss: 0.290
Epoch 5 Batch 207/312 - Train Accuracy: 0.875, Validation Accuracy: 0.897, Loss: 0.292
Epoch 5 Batch 208/312 - Train Accuracy: 0.924, Validation Accuracy: 0.902, Loss: 0.235
Epoch 5 Batch 209/312 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.285
Epoch 5 Batch 210/312 - Train Accuracy: 0.938, Validation Accuracy: 0.933, Loss: 0.232
Epoch 5 Batch 211/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.236
Epoch 5 Batch 212/312 - Train Accuracy: 0.960, Validation Accuracy: 0.933, Loss: 0.192
Epoch 5 Batch 213/312 - Train Accuracy: 0.888, Validation Accuracy: 0.933, Loss: 0.292
Epoch 5 Batch 214/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.332
Epoch 5 Batch 215/312 - Train Accuracy: 0.884, Validation Accuracy: 0.920, Loss: 0.291
Epoch 5 Batch 216/312 - Train Accuracy: 0.924, Validation Accuracy: 0.915, Loss: 0.261
Epoch 5 Batch 217/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.235
Epoch 5 Batch 218/312 - Train Accuracy: 0.960, Validation Accuracy: 0.942, Loss: 0.231
Epoch 5 Batch 219/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.266
Epoch 5 Batch 220/312 - Train Accuracy: 0.938, Validation Accuracy: 0.933, Loss: 0.200
Epoch 5 Batch 221/312 - Train Accuracy: 0.875, Validation Accuracy: 0.938, Loss: 0.305
Epoch 5 Batch 222/312 - Train Accuracy: 0.920, Validation Accuracy: 0.938, Loss: 0.258
Epoch 5 Batch 223/312 - Train Accuracy: 0.879, Validation Accuracy: 0.920, Loss: 0.310
Epoch 5 Batch 224/312 - Train Accuracy: 0.911, Validation Accuracy: 0.929, Loss: 0.323
Epoch 5 Batch 225/312 - Train Accuracy: 0.897, Validation Accuracy: 0.938, Loss: 0.318
Epoch 5 Batch 226/312 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.231
Epoch 5 Batch 227/312 - Train Accuracy: 0.920, Validation Accuracy: 0.942, Loss: 0.233
Epoch 5 Batch 228/312 - Train Accuracy: 0.866, Validation Accuracy: 0.942, Loss: 0.322
Epoch 5 Batch 229/312 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.250
Epoch 5 Batch 230/312 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.279
Epoch 5 Batch 231/312 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.253
Epoch 5 Batch 232/312 - Train Accuracy: 0.875, Validation Accuracy: 0.906, Loss: 0.370
Epoch 5 Batch 233/312 - Train Accuracy: 0.946, Validation Accuracy: 0.924, Loss: 0.227
Epoch 5 Batch 234/312 - Train Accuracy: 0.929, Validation Accuracy: 0.933, Loss: 0.217
Epoch 5 Batch 235/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.276
Epoch 5 Batch 236/312 - Train Accuracy: 0.893, Validation Accuracy: 0.929, Loss: 0.335
Epoch 5 Batch 237/312 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.232
Epoch 5 Batch 238/312 - Train Accuracy: 0.888, Validation Accuracy: 0.924, Loss: 0.319
Epoch 5 Batch 239/312 - Train Accuracy: 0.893, Validation Accuracy: 0.929, Loss: 0.244
Epoch 5 Batch 240/312 - Train Accuracy: 0.929, Validation Accuracy: 0.920, Loss: 0.251
Epoch 5 Batch 241/312 - Train Accuracy: 0.906, Validation Accuracy: 0.924, Loss: 0.320
Epoch 5 Batch 242/312 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.311
Epoch 5 Batch 243/312 - Train Accuracy: 0.951, Validation Accuracy: 0.915, Loss: 0.211
Epoch 5 Batch 244/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.196
Epoch 5 Batch 245/312 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.214
Epoch 5 Batch 246/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.205
Epoch 5 Batch 247/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.252
Epoch 5 Batch 248/312 - Train Accuracy: 0.871, Validation Accuracy: 0.933, Loss: 0.341
Epoch 5 Batch 249/312 - Train Accuracy: 0.893, Validation Accuracy: 0.938, Loss: 0.303
Epoch 5 Batch 250/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.221
Epoch 5 Batch 251/312 - Train Accuracy: 0.924, Validation Accuracy: 0.933, Loss: 0.224
Epoch 5 Batch 252/312 - Train Accuracy: 0.920, Validation Accuracy: 0.929, Loss: 0.260
Epoch 5 Batch 253/312 - Train Accuracy: 0.897, Validation Accuracy: 0.946, Loss: 0.256
Epoch 5 Batch 254/312 - Train Accuracy: 0.879, Validation Accuracy: 0.946, Loss: 0.315
Epoch 5 Batch 255/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.244
Epoch 5 Batch 256/312 - Train Accuracy: 0.960, Validation Accuracy: 0.924, Loss: 0.159
Epoch 5 Batch 257/312 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.251
Epoch 5 Batch 258/312 - Train Accuracy: 0.875, Validation Accuracy: 0.933, Loss: 0.319
Epoch 5 Batch 259/312 - Train Accuracy: 0.955, Validation Accuracy: 0.924, Loss: 0.166
Epoch 5 Batch 260/312 - Train Accuracy: 0.857, Validation Accuracy: 0.933, Loss: 0.356
Epoch 5 Batch 261/312 - Train Accuracy: 0.897, Validation Accuracy: 0.924, Loss: 0.270
Epoch 5 Batch 262/312 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.204
Epoch 5 Batch 263/312 - Train Accuracy: 0.960, Validation Accuracy: 0.924, Loss: 0.185
Epoch 5 Batch 264/312 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.230
Epoch 5 Batch 265/312 - Train Accuracy: 0.929, Validation Accuracy: 0.920, Loss: 0.249
Epoch 5 Batch 266/312 - Train Accuracy: 0.897, Validation Accuracy: 0.920, Loss: 0.259
Epoch 5 Batch 267/312 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.211
Epoch 5 Batch 268/312 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.204
Epoch 5 Batch 269/312 - Train Accuracy: 0.969, Validation Accuracy: 0.942, Loss: 0.200
Epoch 5 Batch 270/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.198
Epoch 5 Batch 271/312 - Train Accuracy: 0.902, Validation Accuracy: 0.924, Loss: 0.271
Epoch 5 Batch 272/312 - Train Accuracy: 0.955, Validation Accuracy: 0.924, Loss: 0.246
Epoch 5 Batch 273/312 - Train Accuracy: 0.960, Validation Accuracy: 0.911, Loss: 0.153
Epoch 5 Batch 274/312 - Train Accuracy: 0.911, Validation Accuracy: 0.915, Loss: 0.221
Epoch 5 Batch 275/312 - Train Accuracy: 0.978, Validation Accuracy: 0.915, Loss: 0.188
Epoch 5 Batch 276/312 - Train Accuracy: 0.893, Validation Accuracy: 0.929, Loss: 0.309
Epoch 5 Batch 277/312 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.184
Epoch 5 Batch 278/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.299
Epoch 5 Batch 279/312 - Train Accuracy: 0.893, Validation Accuracy: 0.933, Loss: 0.239
Epoch 5 Batch 280/312 - Train Accuracy: 0.951, Validation Accuracy: 0.933, Loss: 0.145
Epoch 5 Batch 281/312 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.258
Epoch 5 Batch 282/312 - Train Accuracy: 0.946, Validation Accuracy: 0.938, Loss: 0.203
Epoch 5 Batch 283/312 - Train Accuracy: 0.906, Validation Accuracy: 0.933, Loss: 0.268
Epoch 5 Batch 284/312 - Train Accuracy: 0.982, Validation Accuracy: 0.933, Loss: 0.127
Epoch 5 Batch 285/312 - Train Accuracy: 0.888, Validation Accuracy: 0.933, Loss: 0.268
Epoch 5 Batch 286/312 - Train Accuracy: 0.902, Validation Accuracy: 0.933, Loss: 0.301
Epoch 5 Batch 287/312 - Train Accuracy: 0.960, Validation Accuracy: 0.929, Loss: 0.197
Epoch 5 Batch 288/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.200
Epoch 5 Batch 289/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.243
Epoch 5 Batch 290/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.184
Epoch 5 Batch 291/312 - Train Accuracy: 0.920, Validation Accuracy: 0.955, Loss: 0.237
Epoch 5 Batch 292/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.247
Epoch 5 Batch 293/312 - Train Accuracy: 0.897, Validation Accuracy: 0.951, Loss: 0.233
Epoch 5 Batch 294/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.225
Epoch 5 Batch 295/312 - Train Accuracy: 0.920, Validation Accuracy: 0.946, Loss: 0.312
Epoch 5 Batch 296/312 - Train Accuracy: 0.897, Validation Accuracy: 0.946, Loss: 0.293
Epoch 5 Batch 297/312 - Train Accuracy: 0.920, Validation Accuracy: 0.938, Loss: 0.257
Epoch 5 Batch 298/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.257
Epoch 5 Batch 299/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.238
Epoch 5 Batch 300/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.173
Epoch 5 Batch 301/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.237
Epoch 5 Batch 302/312 - Train Accuracy: 0.920, Validation Accuracy: 0.942, Loss: 0.247
Epoch 5 Batch 303/312 - Train Accuracy: 0.902, Validation Accuracy: 0.938, Loss: 0.258
Epoch 5 Batch 304/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.244
Epoch 5 Batch 305/312 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.223
Epoch 5 Batch 306/312 - Train Accuracy: 0.924, Validation Accuracy: 0.933, Loss: 0.213
Epoch 5 Batch 307/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.245
Epoch 5 Batch 308/312 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.271
Epoch 5 Batch 309/312 - Train Accuracy: 0.938, Validation Accuracy: 0.915, Loss: 0.213
Epoch 5 Batch 310/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.273
Epoch 6 Batch 0/312 - Train Accuracy: 0.915, Validation Accuracy: 0.929, Loss: 0.235
Epoch 6 Batch 1/312 - Train Accuracy: 0.955, Validation Accuracy: 0.929, Loss: 0.175
Epoch 6 Batch 2/312 - Train Accuracy: 0.906, Validation Accuracy: 0.929, Loss: 0.260
Epoch 6 Batch 3/312 - Train Accuracy: 0.933, Validation Accuracy: 0.938, Loss: 0.239
Epoch 6 Batch 4/312 - Train Accuracy: 0.871, Validation Accuracy: 0.933, Loss: 0.330
Epoch 6 Batch 5/312 - Train Accuracy: 0.960, Validation Accuracy: 0.929, Loss: 0.206
Epoch 6 Batch 6/312 - Train Accuracy: 0.902, Validation Accuracy: 0.924, Loss: 0.294
Epoch 6 Batch 7/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.202
Epoch 6 Batch 8/312 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.206
Epoch 6 Batch 9/312 - Train Accuracy: 0.897, Validation Accuracy: 0.933, Loss: 0.271
Epoch 6 Batch 10/312 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.300
Epoch 6 Batch 11/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.185
Epoch 6 Batch 12/312 - Train Accuracy: 0.915, Validation Accuracy: 0.933, Loss: 0.206
Epoch 6 Batch 13/312 - Train Accuracy: 0.866, Validation Accuracy: 0.938, Loss: 0.330
Epoch 6 Batch 14/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.188
Epoch 6 Batch 15/312 - Train Accuracy: 0.929, Validation Accuracy: 0.946, Loss: 0.214
Epoch 6 Batch 16/312 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.248
Epoch 6 Batch 17/312 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.196
Epoch 6 Batch 18/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.219
Epoch 6 Batch 19/312 - Train Accuracy: 0.933, Validation Accuracy: 0.946, Loss: 0.206
Epoch 6 Batch 20/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.219
Epoch 6 Batch 21/312 - Train Accuracy: 0.915, Validation Accuracy: 0.933, Loss: 0.239
Epoch 6 Batch 22/312 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.147
Epoch 6 Batch 23/312 - Train Accuracy: 0.960, Validation Accuracy: 0.933, Loss: 0.158
Epoch 6 Batch 24/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.223
Epoch 6 Batch 25/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.250
Epoch 6 Batch 26/312 - Train Accuracy: 0.924, Validation Accuracy: 0.933, Loss: 0.237
Epoch 6 Batch 27/312 - Train Accuracy: 0.938, Validation Accuracy: 0.933, Loss: 0.207
Epoch 6 Batch 28/312 - Train Accuracy: 0.924, Validation Accuracy: 0.946, Loss: 0.250
Epoch 6 Batch 29/312 - Train Accuracy: 0.897, Validation Accuracy: 0.933, Loss: 0.261
Epoch 6 Batch 30/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.193
Epoch 6 Batch 31/312 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.187
Epoch 6 Batch 32/312 - Train Accuracy: 0.902, Validation Accuracy: 0.924, Loss: 0.289
Epoch 6 Batch 33/312 - Train Accuracy: 0.964, Validation Accuracy: 0.929, Loss: 0.143
Epoch 6 Batch 34/312 - Train Accuracy: 0.897, Validation Accuracy: 0.929, Loss: 0.264
Epoch 6 Batch 35/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.175
Epoch 6 Batch 36/312 - Train Accuracy: 0.893, Validation Accuracy: 0.946, Loss: 0.237
Epoch 6 Batch 37/312 - Train Accuracy: 0.893, Validation Accuracy: 0.951, Loss: 0.256
Epoch 6 Batch 38/312 - Train Accuracy: 0.906, Validation Accuracy: 0.942, Loss: 0.263
Epoch 6 Batch 39/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.234
Epoch 6 Batch 40/312 - Train Accuracy: 0.933, Validation Accuracy: 0.942, Loss: 0.195
Epoch 6 Batch 41/312 - Train Accuracy: 0.879, Validation Accuracy: 0.938, Loss: 0.309
Epoch 6 Batch 42/312 - Train Accuracy: 0.946, Validation Accuracy: 0.938, Loss: 0.182
Epoch 6 Batch 43/312 - Train Accuracy: 0.893, Validation Accuracy: 0.933, Loss: 0.253
Epoch 6 Batch 44/312 - Train Accuracy: 0.933, Validation Accuracy: 0.938, Loss: 0.227
Epoch 6 Batch 45/312 - Train Accuracy: 0.888, Validation Accuracy: 0.938, Loss: 0.246
Epoch 6 Batch 46/312 - Train Accuracy: 0.938, Validation Accuracy: 0.938, Loss: 0.235
Epoch 6 Batch 47/312 - Train Accuracy: 0.951, Validation Accuracy: 0.946, Loss: 0.198
Epoch 6 Batch 48/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.228
Epoch 6 Batch 49/312 - Train Accuracy: 0.853, Validation Accuracy: 0.946, Loss: 0.318
Epoch 6 Batch 50/312 - Train Accuracy: 0.915, Validation Accuracy: 0.946, Loss: 0.225
Epoch 6 Batch 51/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.202
Epoch 6 Batch 52/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.288
Epoch 6 Batch 53/312 - Train Accuracy: 0.893, Validation Accuracy: 0.951, Loss: 0.271
Epoch 6 Batch 54/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.207
Epoch 6 Batch 55/312 - Train Accuracy: 0.920, Validation Accuracy: 0.955, Loss: 0.212
Epoch 6 Batch 56/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.210
Epoch 6 Batch 57/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.225
Epoch 6 Batch 58/312 - Train Accuracy: 0.911, Validation Accuracy: 0.946, Loss: 0.217
Epoch 6 Batch 59/312 - Train Accuracy: 0.960, Validation Accuracy: 0.946, Loss: 0.152
Epoch 6 Batch 60/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.162
Epoch 6 Batch 61/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.245
Epoch 6 Batch 62/312 - Train Accuracy: 0.938, Validation Accuracy: 0.942, Loss: 0.193
Epoch 6 Batch 63/312 - Train Accuracy: 0.933, Validation Accuracy: 0.946, Loss: 0.219
Epoch 6 Batch 64/312 - Train Accuracy: 0.915, Validation Accuracy: 0.946, Loss: 0.274
Epoch 6 Batch 65/312 - Train Accuracy: 0.888, Validation Accuracy: 0.951, Loss: 0.287
Epoch 6 Batch 66/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.180
Epoch 6 Batch 67/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.196
Epoch 6 Batch 68/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.187
Epoch 6 Batch 69/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.173
Epoch 6 Batch 70/312 - Train Accuracy: 0.942, Validation Accuracy: 0.946, Loss: 0.221
Epoch 6 Batch 71/312 - Train Accuracy: 0.951, Validation Accuracy: 0.938, Loss: 0.165
Epoch 6 Batch 72/312 - Train Accuracy: 0.915, Validation Accuracy: 0.938, Loss: 0.187
Epoch 6 Batch 73/312 - Train Accuracy: 0.960, Validation Accuracy: 0.929, Loss: 0.160
Epoch 6 Batch 74/312 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.200
Epoch 6 Batch 75/312 - Train Accuracy: 0.888, Validation Accuracy: 0.942, Loss: 0.251
Epoch 6 Batch 76/312 - Train Accuracy: 0.933, Validation Accuracy: 0.946, Loss: 0.184
Epoch 6 Batch 77/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.234
Epoch 6 Batch 78/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.251
Epoch 6 Batch 79/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.215
Epoch 6 Batch 80/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.164
Epoch 6 Batch 81/312 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.201
Epoch 6 Batch 82/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.193
Epoch 6 Batch 83/312 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.206
Epoch 6 Batch 84/312 - Train Accuracy: 0.960, Validation Accuracy: 0.933, Loss: 0.167
Epoch 6 Batch 85/312 - Train Accuracy: 0.951, Validation Accuracy: 0.924, Loss: 0.170
Epoch 6 Batch 86/312 - Train Accuracy: 0.969, Validation Accuracy: 0.920, Loss: 0.181
Epoch 6 Batch 87/312 - Train Accuracy: 0.906, Validation Accuracy: 0.938, Loss: 0.226
Epoch 6 Batch 88/312 - Train Accuracy: 0.978, Validation Accuracy: 0.938, Loss: 0.159
Epoch 6 Batch 89/312 - Train Accuracy: 0.929, Validation Accuracy: 0.946, Loss: 0.231
Epoch 6 Batch 90/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.285
Epoch 6 Batch 91/312 - Train Accuracy: 0.964, Validation Accuracy: 0.942, Loss: 0.163
Epoch 6 Batch 92/312 - Train Accuracy: 0.897, Validation Accuracy: 0.960, Loss: 0.237
Epoch 6 Batch 93/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.218
Epoch 6 Batch 94/312 - Train Accuracy: 0.911, Validation Accuracy: 0.951, Loss: 0.233
Epoch 6 Batch 95/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.127
Epoch 6 Batch 96/312 - Train Accuracy: 0.920, Validation Accuracy: 0.955, Loss: 0.205
Epoch 6 Batch 97/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.205
Epoch 6 Batch 98/312 - Train Accuracy: 0.960, Validation Accuracy: 0.951, Loss: 0.157
Epoch 6 Batch 99/312 - Train Accuracy: 0.951, Validation Accuracy: 0.942, Loss: 0.175
Epoch 6 Batch 100/312 - Train Accuracy: 0.875, Validation Accuracy: 0.951, Loss: 0.276
Epoch 6 Batch 101/312 - Train Accuracy: 0.969, Validation Accuracy: 0.938, Loss: 0.149
Epoch 6 Batch 102/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.191
Epoch 6 Batch 103/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.179
Epoch 6 Batch 104/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.156
Epoch 6 Batch 105/312 - Train Accuracy: 0.871, Validation Accuracy: 0.955, Loss: 0.277
Epoch 6 Batch 106/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.223
Epoch 6 Batch 107/312 - Train Accuracy: 0.906, Validation Accuracy: 0.955, Loss: 0.261
Epoch 6 Batch 108/312 - Train Accuracy: 0.933, Validation Accuracy: 0.946, Loss: 0.176
Epoch 6 Batch 109/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.270
Epoch 6 Batch 110/312 - Train Accuracy: 0.964, Validation Accuracy: 0.942, Loss: 0.175
Epoch 6 Batch 111/312 - Train Accuracy: 0.897, Validation Accuracy: 0.951, Loss: 0.252
Epoch 6 Batch 112/312 - Train Accuracy: 0.906, Validation Accuracy: 0.946, Loss: 0.213
Epoch 6 Batch 113/312 - Train Accuracy: 0.924, Validation Accuracy: 0.946, Loss: 0.216
Epoch 6 Batch 114/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.170
Epoch 6 Batch 115/312 - Train Accuracy: 0.915, Validation Accuracy: 0.951, Loss: 0.233
Epoch 6 Batch 116/312 - Train Accuracy: 0.893, Validation Accuracy: 0.955, Loss: 0.275
Epoch 6 Batch 117/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.209
Epoch 6 Batch 118/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.177
Epoch 6 Batch 119/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.167
Epoch 6 Batch 120/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.144
Epoch 6 Batch 121/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.256
Epoch 6 Batch 122/312 - Train Accuracy: 0.960, Validation Accuracy: 0.942, Loss: 0.184
Epoch 6 Batch 123/312 - Train Accuracy: 0.902, Validation Accuracy: 0.933, Loss: 0.206
Epoch 6 Batch 124/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.211
Epoch 6 Batch 125/312 - Train Accuracy: 0.955, Validation Accuracy: 0.929, Loss: 0.167
Epoch 6 Batch 126/312 - Train Accuracy: 0.955, Validation Accuracy: 0.929, Loss: 0.208
Epoch 6 Batch 127/312 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.198
Epoch 6 Batch 128/312 - Train Accuracy: 0.955, Validation Accuracy: 0.933, Loss: 0.136
Epoch 6 Batch 129/312 - Train Accuracy: 0.893, Validation Accuracy: 0.942, Loss: 0.271
Epoch 6 Batch 130/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.180
Epoch 6 Batch 131/312 - Train Accuracy: 0.902, Validation Accuracy: 0.960, Loss: 0.270
Epoch 6 Batch 132/312 - Train Accuracy: 0.920, Validation Accuracy: 0.955, Loss: 0.241
Epoch 6 Batch 133/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.158
Epoch 6 Batch 134/312 - Train Accuracy: 0.924, Validation Accuracy: 0.955, Loss: 0.221
Epoch 6 Batch 135/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.215
Epoch 6 Batch 136/312 - Train Accuracy: 0.879, Validation Accuracy: 0.955, Loss: 0.305
Epoch 6 Batch 137/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.179
Epoch 6 Batch 138/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.188
Epoch 6 Batch 139/312 - Train Accuracy: 0.911, Validation Accuracy: 0.973, Loss: 0.253
Epoch 6 Batch 140/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.143
Epoch 6 Batch 141/312 - Train Accuracy: 0.911, Validation Accuracy: 0.960, Loss: 0.262
Epoch 6 Batch 142/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.158
Epoch 6 Batch 143/312 - Train Accuracy: 0.893, Validation Accuracy: 0.964, Loss: 0.267
Epoch 6 Batch 144/312 - Train Accuracy: 0.915, Validation Accuracy: 0.960, Loss: 0.254
Epoch 6 Batch 145/312 - Train Accuracy: 0.924, Validation Accuracy: 0.951, Loss: 0.197
Epoch 6 Batch 146/312 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.186
Epoch 6 Batch 147/312 - Train Accuracy: 0.929, Validation Accuracy: 0.933, Loss: 0.199
Epoch 6 Batch 148/312 - Train Accuracy: 0.902, Validation Accuracy: 0.951, Loss: 0.239
Epoch 6 Batch 149/312 - Train Accuracy: 0.902, Validation Accuracy: 0.951, Loss: 0.222
Epoch 6 Batch 150/312 - Train Accuracy: 0.897, Validation Accuracy: 0.955, Loss: 0.256
Epoch 6 Batch 151/312 - Train Accuracy: 0.955, Validation Accuracy: 0.946, Loss: 0.155
Epoch 6 Batch 152/312 - Train Accuracy: 0.893, Validation Accuracy: 0.955, Loss: 0.312
Epoch 6 Batch 153/312 - Train Accuracy: 0.924, Validation Accuracy: 0.951, Loss: 0.235
Epoch 6 Batch 154/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.188
Epoch 6 Batch 155/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.164
Epoch 6 Batch 156/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.214
Epoch 6 Batch 157/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.177
Epoch 6 Batch 158/312 - Train Accuracy: 0.920, Validation Accuracy: 0.942, Loss: 0.244
Epoch 6 Batch 159/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.248
Epoch 6 Batch 160/312 - Train Accuracy: 0.884, Validation Accuracy: 0.946, Loss: 0.257
Epoch 6 Batch 161/312 - Train Accuracy: 0.906, Validation Accuracy: 0.946, Loss: 0.253
Epoch 6 Batch 162/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.182
Epoch 6 Batch 163/312 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.202
Epoch 6 Batch 164/312 - Train Accuracy: 0.969, Validation Accuracy: 0.942, Loss: 0.146
Epoch 6 Batch 165/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.179
Epoch 6 Batch 166/312 - Train Accuracy: 0.875, Validation Accuracy: 0.964, Loss: 0.308
Epoch 6 Batch 167/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.211
Epoch 6 Batch 168/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.210
Epoch 6 Batch 169/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.197
Epoch 6 Batch 170/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.194
Epoch 6 Batch 171/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.225
Epoch 6 Batch 172/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.180
Epoch 6 Batch 173/312 - Train Accuracy: 0.973, Validation Accuracy: 0.960, Loss: 0.155
Epoch 6 Batch 174/312 - Train Accuracy: 0.902, Validation Accuracy: 0.955, Loss: 0.193
Epoch 6 Batch 175/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.237
Epoch 6 Batch 176/312 - Train Accuracy: 0.888, Validation Accuracy: 0.960, Loss: 0.230
Epoch 6 Batch 177/312 - Train Accuracy: 0.879, Validation Accuracy: 0.951, Loss: 0.271
Epoch 6 Batch 178/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.256
Epoch 6 Batch 179/312 - Train Accuracy: 0.911, Validation Accuracy: 0.951, Loss: 0.229
Epoch 6 Batch 180/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.188
Epoch 6 Batch 181/312 - Train Accuracy: 0.955, Validation Accuracy: 0.964, Loss: 0.156
Epoch 6 Batch 182/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.165
Epoch 6 Batch 183/312 - Train Accuracy: 0.902, Validation Accuracy: 0.964, Loss: 0.228
Epoch 6 Batch 184/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.191
Epoch 6 Batch 185/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.194
Epoch 6 Batch 186/312 - Train Accuracy: 0.902, Validation Accuracy: 0.960, Loss: 0.216
Epoch 6 Batch 187/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.177
Epoch 6 Batch 188/312 - Train Accuracy: 0.902, Validation Accuracy: 0.955, Loss: 0.226
Epoch 6 Batch 189/312 - Train Accuracy: 0.893, Validation Accuracy: 0.951, Loss: 0.267
Epoch 6 Batch 190/312 - Train Accuracy: 0.906, Validation Accuracy: 0.946, Loss: 0.207
Epoch 6 Batch 191/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.133
Epoch 6 Batch 192/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.197
Epoch 6 Batch 193/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.178
Epoch 6 Batch 194/312 - Train Accuracy: 0.924, Validation Accuracy: 0.946, Loss: 0.226
Epoch 6 Batch 195/312 - Train Accuracy: 0.951, Validation Accuracy: 0.942, Loss: 0.173
Epoch 6 Batch 196/312 - Train Accuracy: 0.951, Validation Accuracy: 0.942, Loss: 0.177
Epoch 6 Batch 197/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.137
Epoch 6 Batch 198/312 - Train Accuracy: 0.969, Validation Accuracy: 0.951, Loss: 0.144
Epoch 6 Batch 199/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.233
Epoch 6 Batch 200/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.130
Epoch 6 Batch 201/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.192
Epoch 6 Batch 202/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.253
Epoch 6 Batch 203/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.240
Epoch 6 Batch 204/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.214
Epoch 6 Batch 205/312 - Train Accuracy: 0.888, Validation Accuracy: 0.955, Loss: 0.304
Epoch 6 Batch 206/312 - Train Accuracy: 0.897, Validation Accuracy: 0.955, Loss: 0.214
Epoch 6 Batch 207/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.214
Epoch 6 Batch 208/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.158
Epoch 6 Batch 209/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.213
Epoch 6 Batch 210/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.172
Epoch 6 Batch 211/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.172
Epoch 6 Batch 212/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.130
Epoch 6 Batch 213/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.216
Epoch 6 Batch 214/312 - Train Accuracy: 0.897, Validation Accuracy: 0.960, Loss: 0.253
Epoch 6 Batch 215/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.218
Epoch 6 Batch 216/312 - Train Accuracy: 0.929, Validation Accuracy: 0.964, Loss: 0.196
Epoch 6 Batch 217/312 - Train Accuracy: 0.920, Validation Accuracy: 0.951, Loss: 0.161
Epoch 6 Batch 218/312 - Train Accuracy: 0.960, Validation Accuracy: 0.946, Loss: 0.175
Epoch 6 Batch 219/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.199
Epoch 6 Batch 220/312 - Train Accuracy: 0.960, Validation Accuracy: 0.942, Loss: 0.140
Epoch 6 Batch 221/312 - Train Accuracy: 0.893, Validation Accuracy: 0.951, Loss: 0.230
Epoch 6 Batch 222/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.190
Epoch 6 Batch 223/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.240
Epoch 6 Batch 224/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.220
Epoch 6 Batch 225/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.230
Epoch 6 Batch 226/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.171
Epoch 6 Batch 227/312 - Train Accuracy: 0.955, Validation Accuracy: 0.933, Loss: 0.176
Epoch 6 Batch 228/312 - Train Accuracy: 0.888, Validation Accuracy: 0.942, Loss: 0.255
Epoch 6 Batch 229/312 - Train Accuracy: 0.938, Validation Accuracy: 0.942, Loss: 0.178
Epoch 6 Batch 230/312 - Train Accuracy: 0.920, Validation Accuracy: 0.946, Loss: 0.223
Epoch 6 Batch 231/312 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.187
Epoch 6 Batch 232/312 - Train Accuracy: 0.897, Validation Accuracy: 0.946, Loss: 0.266
Epoch 6 Batch 233/312 - Train Accuracy: 0.942, Validation Accuracy: 0.946, Loss: 0.161
Epoch 6 Batch 234/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.159
Epoch 6 Batch 235/312 - Train Accuracy: 0.960, Validation Accuracy: 0.938, Loss: 0.190
Epoch 6 Batch 236/312 - Train Accuracy: 0.920, Validation Accuracy: 0.951, Loss: 0.256
Epoch 6 Batch 237/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.171
Epoch 6 Batch 238/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.245
Epoch 6 Batch 239/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.182
Epoch 6 Batch 240/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.180
Epoch 6 Batch 241/312 - Train Accuracy: 0.915, Validation Accuracy: 0.960, Loss: 0.246
Epoch 6 Batch 242/312 - Train Accuracy: 0.920, Validation Accuracy: 0.969, Loss: 0.251
Epoch 6 Batch 243/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.151
Epoch 6 Batch 244/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.133
Epoch 6 Batch 245/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.162
Epoch 6 Batch 246/312 - Train Accuracy: 0.938, Validation Accuracy: 0.955, Loss: 0.170
Epoch 6 Batch 247/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.179
Epoch 6 Batch 248/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.277
Epoch 6 Batch 249/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.234
Epoch 6 Batch 250/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.161
Epoch 6 Batch 251/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.169
Epoch 6 Batch 252/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.213
Epoch 6 Batch 253/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.203
Epoch 6 Batch 254/312 - Train Accuracy: 0.893, Validation Accuracy: 0.955, Loss: 0.229
Epoch 6 Batch 255/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.178
Epoch 6 Batch 256/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.127
Epoch 6 Batch 257/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.169
Epoch 6 Batch 258/312 - Train Accuracy: 0.888, Validation Accuracy: 0.942, Loss: 0.232
Epoch 6 Batch 259/312 - Train Accuracy: 0.964, Validation Accuracy: 0.946, Loss: 0.107
Epoch 6 Batch 260/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.265
Epoch 6 Batch 261/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.201
Epoch 6 Batch 262/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.136
Epoch 6 Batch 263/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.134
Epoch 6 Batch 264/312 - Train Accuracy: 0.924, Validation Accuracy: 0.951, Loss: 0.168
Epoch 6 Batch 265/312 - Train Accuracy: 0.924, Validation Accuracy: 0.955, Loss: 0.189
Epoch 6 Batch 266/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.195
Epoch 6 Batch 267/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.154
Epoch 6 Batch 268/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.136
Epoch 6 Batch 269/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.144
Epoch 6 Batch 270/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.142
Epoch 6 Batch 271/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.189
Epoch 6 Batch 272/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.184
Epoch 6 Batch 273/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.107
Epoch 6 Batch 274/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.159
Epoch 6 Batch 275/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.120
Epoch 6 Batch 276/312 - Train Accuracy: 0.902, Validation Accuracy: 0.964, Loss: 0.235
Epoch 6 Batch 277/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.138
Epoch 6 Batch 278/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.214
Epoch 6 Batch 279/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.194
Epoch 6 Batch 280/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.105
Epoch 6 Batch 281/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.203
Epoch 6 Batch 282/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.153
Epoch 6 Batch 283/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.192
Epoch 6 Batch 284/312 - Train Accuracy: 0.996, Validation Accuracy: 0.960, Loss: 0.086
Epoch 6 Batch 285/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.212
Epoch 6 Batch 286/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.237
Epoch 6 Batch 287/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.142
Epoch 6 Batch 288/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.153
Epoch 6 Batch 289/312 - Train Accuracy: 0.902, Validation Accuracy: 0.964, Loss: 0.198
Epoch 6 Batch 290/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.139
Epoch 6 Batch 291/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.181
Epoch 6 Batch 292/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.187
Epoch 6 Batch 293/312 - Train Accuracy: 0.933, Validation Accuracy: 0.942, Loss: 0.196
Epoch 6 Batch 294/312 - Train Accuracy: 0.955, Validation Accuracy: 0.942, Loss: 0.165
Epoch 6 Batch 295/312 - Train Accuracy: 0.911, Validation Accuracy: 0.946, Loss: 0.235
Epoch 6 Batch 296/312 - Train Accuracy: 0.897, Validation Accuracy: 0.951, Loss: 0.232
Epoch 6 Batch 297/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.210
Epoch 6 Batch 298/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.189
Epoch 6 Batch 299/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.177
Epoch 6 Batch 300/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.121
Epoch 6 Batch 301/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.174
Epoch 6 Batch 302/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.184
Epoch 6 Batch 303/312 - Train Accuracy: 0.924, Validation Accuracy: 0.955, Loss: 0.198
Epoch 6 Batch 304/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.182
Epoch 6 Batch 305/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.176
Epoch 6 Batch 306/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.169
Epoch 6 Batch 307/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.183
Epoch 6 Batch 308/312 - Train Accuracy: 0.920, Validation Accuracy: 0.951, Loss: 0.195
Epoch 6 Batch 309/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.158
Epoch 6 Batch 310/312 - Train Accuracy: 0.938, Validation Accuracy: 0.955, Loss: 0.206
Epoch 7 Batch 0/312 - Train Accuracy: 0.924, Validation Accuracy: 0.955, Loss: 0.190
Epoch 7 Batch 1/312 - Train Accuracy: 0.964, Validation Accuracy: 0.946, Loss: 0.125
Epoch 7 Batch 2/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.204
Epoch 7 Batch 3/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.168
Epoch 7 Batch 4/312 - Train Accuracy: 0.875, Validation Accuracy: 0.964, Loss: 0.254
Epoch 7 Batch 5/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.153
Epoch 7 Batch 6/312 - Train Accuracy: 0.911, Validation Accuracy: 0.938, Loss: 0.202
Epoch 7 Batch 7/312 - Train Accuracy: 0.964, Validation Accuracy: 0.938, Loss: 0.139
Epoch 7 Batch 8/312 - Train Accuracy: 0.946, Validation Accuracy: 0.938, Loss: 0.153
Epoch 7 Batch 9/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.221
Epoch 7 Batch 10/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.174
Epoch 7 Batch 11/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.134
Epoch 7 Batch 12/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.157
Epoch 7 Batch 13/312 - Train Accuracy: 0.830, Validation Accuracy: 0.964, Loss: 0.245
Epoch 7 Batch 14/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.140
Epoch 7 Batch 15/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.155
Epoch 7 Batch 16/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.181
Epoch 7 Batch 17/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.155
Epoch 7 Batch 18/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.150
Epoch 7 Batch 19/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.146
Epoch 7 Batch 20/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.153
Epoch 7 Batch 21/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.181
Epoch 7 Batch 22/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.110
Epoch 7 Batch 23/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.116
Epoch 7 Batch 24/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.171
Epoch 7 Batch 25/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.191
Epoch 7 Batch 26/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.176
Epoch 7 Batch 27/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.156
Epoch 7 Batch 28/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.188
Epoch 7 Batch 29/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.191
Epoch 7 Batch 30/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.144
Epoch 7 Batch 31/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.129
Epoch 7 Batch 32/312 - Train Accuracy: 0.875, Validation Accuracy: 0.951, Loss: 0.227
Epoch 7 Batch 33/312 - Train Accuracy: 0.982, Validation Accuracy: 0.946, Loss: 0.098
Epoch 7 Batch 34/312 - Train Accuracy: 0.888, Validation Accuracy: 0.955, Loss: 0.201
Epoch 7 Batch 35/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.136
Epoch 7 Batch 36/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.176
Epoch 7 Batch 37/312 - Train Accuracy: 0.897, Validation Accuracy: 0.960, Loss: 0.189
Epoch 7 Batch 38/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.200
Epoch 7 Batch 39/312 - Train Accuracy: 0.929, Validation Accuracy: 0.964, Loss: 0.191
Epoch 7 Batch 40/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.147
Epoch 7 Batch 41/312 - Train Accuracy: 0.897, Validation Accuracy: 0.960, Loss: 0.238
Epoch 7 Batch 42/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.126
Epoch 7 Batch 43/312 - Train Accuracy: 0.906, Validation Accuracy: 0.955, Loss: 0.200
Epoch 7 Batch 44/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.175
Epoch 7 Batch 45/312 - Train Accuracy: 0.893, Validation Accuracy: 0.960, Loss: 0.193
Epoch 7 Batch 46/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.179
Epoch 7 Batch 47/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.144
Epoch 7 Batch 48/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.182
Epoch 7 Batch 49/312 - Train Accuracy: 0.857, Validation Accuracy: 0.951, Loss: 0.260
Epoch 7 Batch 50/312 - Train Accuracy: 0.942, Validation Accuracy: 0.946, Loss: 0.171
Epoch 7 Batch 51/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.165
Epoch 7 Batch 52/312 - Train Accuracy: 0.920, Validation Accuracy: 0.960, Loss: 0.230
Epoch 7 Batch 53/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.206
Epoch 7 Batch 54/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.159
Epoch 7 Batch 55/312 - Train Accuracy: 0.938, Validation Accuracy: 0.946, Loss: 0.168
Epoch 7 Batch 56/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.182
Epoch 7 Batch 57/312 - Train Accuracy: 0.969, Validation Accuracy: 0.955, Loss: 0.170
Epoch 7 Batch 58/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.156
Epoch 7 Batch 59/312 - Train Accuracy: 0.973, Validation Accuracy: 0.951, Loss: 0.111
Epoch 7 Batch 60/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.134
Epoch 7 Batch 61/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.204
Epoch 7 Batch 62/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.162
Epoch 7 Batch 63/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.169
Epoch 7 Batch 64/312 - Train Accuracy: 0.933, Validation Accuracy: 0.942, Loss: 0.216
Epoch 7 Batch 65/312 - Train Accuracy: 0.875, Validation Accuracy: 0.946, Loss: 0.238
Epoch 7 Batch 66/312 - Train Accuracy: 0.951, Validation Accuracy: 0.955, Loss: 0.144
Epoch 7 Batch 67/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.163
Epoch 7 Batch 68/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.155
Epoch 7 Batch 69/312 - Train Accuracy: 0.960, Validation Accuracy: 0.951, Loss: 0.141
Epoch 7 Batch 70/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.174
Epoch 7 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.951, Loss: 0.122
Epoch 7 Batch 72/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.155
Epoch 7 Batch 73/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.128
Epoch 7 Batch 74/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.148
Epoch 7 Batch 75/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.203
Epoch 7 Batch 76/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.142
Epoch 7 Batch 77/312 - Train Accuracy: 0.911, Validation Accuracy: 0.946, Loss: 0.188
Epoch 7 Batch 78/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.205
Epoch 7 Batch 79/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.177
Epoch 7 Batch 80/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.120
Epoch 7 Batch 81/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.154
Epoch 7 Batch 82/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.159
Epoch 7 Batch 83/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.158
Epoch 7 Batch 84/312 - Train Accuracy: 0.982, Validation Accuracy: 0.960, Loss: 0.121
Epoch 7 Batch 85/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.124
Epoch 7 Batch 86/312 - Train Accuracy: 0.964, Validation Accuracy: 0.951, Loss: 0.141
Epoch 7 Batch 87/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.166
Epoch 7 Batch 88/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.129
Epoch 7 Batch 89/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.184
Epoch 7 Batch 90/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.203
Epoch 7 Batch 91/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.134
Epoch 7 Batch 92/312 - Train Accuracy: 0.911, Validation Accuracy: 0.978, Loss: 0.196
Epoch 7 Batch 93/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.162
Epoch 7 Batch 94/312 - Train Accuracy: 0.915, Validation Accuracy: 0.969, Loss: 0.183
Epoch 7 Batch 95/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.099
Epoch 7 Batch 96/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.170
Epoch 7 Batch 97/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.158
Epoch 7 Batch 98/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.124
Epoch 7 Batch 99/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.136
Epoch 7 Batch 100/312 - Train Accuracy: 0.888, Validation Accuracy: 0.960, Loss: 0.208
Epoch 7 Batch 101/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.115
Epoch 7 Batch 102/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.149
Epoch 7 Batch 103/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.128
Epoch 7 Batch 104/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.116
Epoch 7 Batch 105/312 - Train Accuracy: 0.911, Validation Accuracy: 0.964, Loss: 0.227
Epoch 7 Batch 106/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.170
Epoch 7 Batch 107/312 - Train Accuracy: 0.915, Validation Accuracy: 0.969, Loss: 0.194
Epoch 7 Batch 108/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.121
Epoch 7 Batch 109/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.200
Epoch 7 Batch 110/312 - Train Accuracy: 0.955, Validation Accuracy: 0.964, Loss: 0.130
Epoch 7 Batch 111/312 - Train Accuracy: 0.911, Validation Accuracy: 0.964, Loss: 0.183
Epoch 7 Batch 112/312 - Train Accuracy: 0.906, Validation Accuracy: 0.969, Loss: 0.165
Epoch 7 Batch 113/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.165
Epoch 7 Batch 114/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.115
Epoch 7 Batch 115/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.170
Epoch 7 Batch 116/312 - Train Accuracy: 0.902, Validation Accuracy: 0.964, Loss: 0.211
Epoch 7 Batch 117/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.157
Epoch 7 Batch 118/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.126
Epoch 7 Batch 119/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.123
Epoch 7 Batch 120/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.101
Epoch 7 Batch 121/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.193
Epoch 7 Batch 122/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.133
Epoch 7 Batch 123/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.159
Epoch 7 Batch 124/312 - Train Accuracy: 0.951, Validation Accuracy: 0.955, Loss: 0.166
Epoch 7 Batch 125/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.139
Epoch 7 Batch 126/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.153
Epoch 7 Batch 127/312 - Train Accuracy: 0.915, Validation Accuracy: 0.951, Loss: 0.143
Epoch 7 Batch 128/312 - Train Accuracy: 0.978, Validation Accuracy: 0.951, Loss: 0.097
Epoch 7 Batch 129/312 - Train Accuracy: 0.902, Validation Accuracy: 0.969, Loss: 0.219
Epoch 7 Batch 130/312 - Train Accuracy: 0.942, Validation Accuracy: 0.969, Loss: 0.141
Epoch 7 Batch 131/312 - Train Accuracy: 0.906, Validation Accuracy: 0.969, Loss: 0.215
Epoch 7 Batch 132/312 - Train Accuracy: 0.906, Validation Accuracy: 0.969, Loss: 0.196
Epoch 7 Batch 133/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.107
Epoch 7 Batch 134/312 - Train Accuracy: 0.924, Validation Accuracy: 0.969, Loss: 0.170
Epoch 7 Batch 135/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.161
Epoch 7 Batch 136/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.227
Epoch 7 Batch 137/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.127
Epoch 7 Batch 138/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.139
Epoch 7 Batch 139/312 - Train Accuracy: 0.911, Validation Accuracy: 0.964, Loss: 0.184
Epoch 7 Batch 140/312 - Train Accuracy: 0.960, Validation Accuracy: 0.951, Loss: 0.103
Epoch 7 Batch 141/312 - Train Accuracy: 0.920, Validation Accuracy: 0.951, Loss: 0.197
Epoch 7 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.102
Epoch 7 Batch 143/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.214
Epoch 7 Batch 144/312 - Train Accuracy: 0.920, Validation Accuracy: 0.973, Loss: 0.195
Epoch 7 Batch 145/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.144
Epoch 7 Batch 146/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.137
Epoch 7 Batch 147/312 - Train Accuracy: 0.920, Validation Accuracy: 0.969, Loss: 0.152
Epoch 7 Batch 148/312 - Train Accuracy: 0.915, Validation Accuracy: 0.973, Loss: 0.180
Epoch 7 Batch 149/312 - Train Accuracy: 0.906, Validation Accuracy: 0.973, Loss: 0.172
Epoch 7 Batch 150/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.185
Epoch 7 Batch 151/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.114
Epoch 7 Batch 152/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.234
Epoch 7 Batch 153/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.177
Epoch 7 Batch 154/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.138
Epoch 7 Batch 155/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.124
Epoch 7 Batch 156/312 - Train Accuracy: 0.920, Validation Accuracy: 0.960, Loss: 0.171
Epoch 7 Batch 157/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.131
Epoch 7 Batch 158/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.180
Epoch 7 Batch 159/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.192
Epoch 7 Batch 160/312 - Train Accuracy: 0.911, Validation Accuracy: 0.942, Loss: 0.204
Epoch 7 Batch 161/312 - Train Accuracy: 0.915, Validation Accuracy: 0.942, Loss: 0.203
Epoch 7 Batch 162/312 - Train Accuracy: 0.951, Validation Accuracy: 0.942, Loss: 0.132
Epoch 7 Batch 163/312 - Train Accuracy: 0.924, Validation Accuracy: 0.946, Loss: 0.153
Epoch 7 Batch 164/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.105
Epoch 7 Batch 165/312 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.137
Epoch 7 Batch 166/312 - Train Accuracy: 0.888, Validation Accuracy: 0.964, Loss: 0.248
Epoch 7 Batch 167/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.164
Epoch 7 Batch 168/312 - Train Accuracy: 0.951, Validation Accuracy: 0.955, Loss: 0.145
Epoch 7 Batch 169/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.145
Epoch 7 Batch 170/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.143
Epoch 7 Batch 171/312 - Train Accuracy: 0.911, Validation Accuracy: 0.973, Loss: 0.164
Epoch 7 Batch 172/312 - Train Accuracy: 0.924, Validation Accuracy: 0.969, Loss: 0.132
Epoch 7 Batch 173/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.119
Epoch 7 Batch 174/312 - Train Accuracy: 0.897, Validation Accuracy: 0.969, Loss: 0.160
Epoch 7 Batch 175/312 - Train Accuracy: 0.920, Validation Accuracy: 0.973, Loss: 0.201
Epoch 7 Batch 176/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.176
Epoch 7 Batch 177/312 - Train Accuracy: 0.906, Validation Accuracy: 0.960, Loss: 0.207
Epoch 7 Batch 178/312 - Train Accuracy: 0.911, Validation Accuracy: 0.946, Loss: 0.196
Epoch 7 Batch 179/312 - Train Accuracy: 0.955, Validation Accuracy: 0.946, Loss: 0.181
Epoch 7 Batch 180/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.149
Epoch 7 Batch 181/312 - Train Accuracy: 0.969, Validation Accuracy: 0.955, Loss: 0.123
Epoch 7 Batch 182/312 - Train Accuracy: 0.978, Validation Accuracy: 0.955, Loss: 0.128
Epoch 7 Batch 183/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.184
Epoch 7 Batch 184/312 - Train Accuracy: 0.929, Validation Accuracy: 0.964, Loss: 0.146
Epoch 7 Batch 185/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.140
Epoch 7 Batch 186/312 - Train Accuracy: 0.911, Validation Accuracy: 0.960, Loss: 0.182
Epoch 7 Batch 187/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.138
Epoch 7 Batch 188/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.179
Epoch 7 Batch 189/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.208
Epoch 7 Batch 190/312 - Train Accuracy: 0.911, Validation Accuracy: 0.960, Loss: 0.157
Epoch 7 Batch 191/312 - Train Accuracy: 0.964, Validation Accuracy: 0.951, Loss: 0.095
Epoch 7 Batch 192/312 - Train Accuracy: 0.946, Validation Accuracy: 0.951, Loss: 0.156
Epoch 7 Batch 193/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.142
Epoch 7 Batch 194/312 - Train Accuracy: 0.938, Validation Accuracy: 0.955, Loss: 0.177
Epoch 7 Batch 195/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.141
Epoch 7 Batch 196/312 - Train Accuracy: 0.982, Validation Accuracy: 0.951, Loss: 0.131
Epoch 7 Batch 197/312 - Train Accuracy: 0.964, Validation Accuracy: 0.951, Loss: 0.099
Epoch 7 Batch 198/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.106
Epoch 7 Batch 199/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.176
Epoch 7 Batch 200/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.103
Epoch 7 Batch 201/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.150
Epoch 7 Batch 202/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.187
Epoch 7 Batch 203/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.179
Epoch 7 Batch 204/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.157
Epoch 7 Batch 205/312 - Train Accuracy: 0.929, Validation Accuracy: 0.964, Loss: 0.227
Epoch 7 Batch 206/312 - Train Accuracy: 0.911, Validation Accuracy: 0.969, Loss: 0.162
Epoch 7 Batch 207/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.165
Epoch 7 Batch 208/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.119
Epoch 7 Batch 209/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.160
Epoch 7 Batch 210/312 - Train Accuracy: 0.973, Validation Accuracy: 0.946, Loss: 0.130
Epoch 7 Batch 211/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.135
Epoch 7 Batch 212/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.099
Epoch 7 Batch 213/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.155
Epoch 7 Batch 214/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.191
Epoch 7 Batch 215/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.160
Epoch 7 Batch 216/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.144
Epoch 7 Batch 217/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.125
Epoch 7 Batch 218/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.127
Epoch 7 Batch 219/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.146
Epoch 7 Batch 220/312 - Train Accuracy: 0.969, Validation Accuracy: 0.946, Loss: 0.107
Epoch 7 Batch 221/312 - Train Accuracy: 0.915, Validation Accuracy: 0.946, Loss: 0.176
Epoch 7 Batch 222/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.141
Epoch 7 Batch 223/312 - Train Accuracy: 0.924, Validation Accuracy: 0.960, Loss: 0.176
Epoch 7 Batch 224/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.159
Epoch 7 Batch 225/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.172
Epoch 7 Batch 226/312 - Train Accuracy: 0.964, Validation Accuracy: 0.951, Loss: 0.128
Epoch 7 Batch 227/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.132
Epoch 7 Batch 228/312 - Train Accuracy: 0.906, Validation Accuracy: 0.951, Loss: 0.186
Epoch 7 Batch 229/312 - Train Accuracy: 0.960, Validation Accuracy: 0.951, Loss: 0.132
Epoch 7 Batch 230/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.162
Epoch 7 Batch 231/312 - Train Accuracy: 0.964, Validation Accuracy: 0.951, Loss: 0.137
Epoch 7 Batch 232/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.206
Epoch 7 Batch 233/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.115
Epoch 7 Batch 234/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.113
Epoch 7 Batch 235/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.145
Epoch 7 Batch 236/312 - Train Accuracy: 0.920, Validation Accuracy: 0.960, Loss: 0.199
Epoch 7 Batch 237/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.121
Epoch 7 Batch 238/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.189
Epoch 7 Batch 239/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.132
Epoch 7 Batch 240/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.129
Epoch 7 Batch 241/312 - Train Accuracy: 0.938, Validation Accuracy: 0.955, Loss: 0.174
Epoch 7 Batch 242/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.198
Epoch 7 Batch 243/312 - Train Accuracy: 0.982, Validation Accuracy: 0.955, Loss: 0.112
Epoch 7 Batch 244/312 - Train Accuracy: 0.982, Validation Accuracy: 0.955, Loss: 0.093
Epoch 7 Batch 245/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.122
Epoch 7 Batch 246/312 - Train Accuracy: 0.924, Validation Accuracy: 0.951, Loss: 0.127
Epoch 7 Batch 247/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.131
Epoch 7 Batch 248/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.213
Epoch 7 Batch 249/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.185
Epoch 7 Batch 250/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.118
Epoch 7 Batch 251/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.122
Epoch 7 Batch 252/312 - Train Accuracy: 0.942, Validation Accuracy: 0.969, Loss: 0.174
Epoch 7 Batch 253/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.149
Epoch 7 Batch 254/312 - Train Accuracy: 0.942, Validation Accuracy: 0.969, Loss: 0.178
Epoch 7 Batch 255/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.134
Epoch 7 Batch 256/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.094
Epoch 7 Batch 257/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.121
Epoch 7 Batch 258/312 - Train Accuracy: 0.915, Validation Accuracy: 0.978, Loss: 0.166
Epoch 7 Batch 259/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.075
Epoch 7 Batch 260/312 - Train Accuracy: 0.915, Validation Accuracy: 0.969, Loss: 0.202
Epoch 7 Batch 261/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.143
Epoch 7 Batch 262/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.098
Epoch 7 Batch 263/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.103
Epoch 7 Batch 264/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.127
Epoch 7 Batch 265/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.141
Epoch 7 Batch 266/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.138
Epoch 7 Batch 267/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.116
Epoch 7 Batch 268/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.095
Epoch 7 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.109
Epoch 7 Batch 270/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.101
Epoch 7 Batch 271/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.142
Epoch 7 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.142
Epoch 7 Batch 273/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.075
Epoch 7 Batch 274/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.113
Epoch 7 Batch 275/312 - Train Accuracy: 0.982, Validation Accuracy: 0.960, Loss: 0.085
Epoch 7 Batch 276/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.178
Epoch 7 Batch 277/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.107
Epoch 7 Batch 278/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.156
Epoch 7 Batch 279/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.150
Epoch 7 Batch 280/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.075
Epoch 7 Batch 281/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.146
Epoch 7 Batch 282/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.113
Epoch 7 Batch 283/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.151
Epoch 7 Batch 284/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.062
Epoch 7 Batch 285/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.166
Epoch 7 Batch 286/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.175
Epoch 7 Batch 287/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.101
Epoch 7 Batch 288/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.111
Epoch 7 Batch 289/312 - Train Accuracy: 0.906, Validation Accuracy: 0.964, Loss: 0.154
Epoch 7 Batch 290/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.105
Epoch 7 Batch 291/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.139
Epoch 7 Batch 292/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.136
Epoch 7 Batch 293/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.141
Epoch 7 Batch 294/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.124
Epoch 7 Batch 295/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.176
Epoch 7 Batch 296/312 - Train Accuracy: 0.929, Validation Accuracy: 0.960, Loss: 0.175
Epoch 7 Batch 297/312 - Train Accuracy: 0.933, Validation Accuracy: 0.964, Loss: 0.167
Epoch 7 Batch 298/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.139
Epoch 7 Batch 299/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.127
Epoch 7 Batch 300/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.091
Epoch 7 Batch 301/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.126
Epoch 7 Batch 302/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.133
Epoch 7 Batch 303/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.152
Epoch 7 Batch 304/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.138
Epoch 7 Batch 305/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.138
Epoch 7 Batch 306/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.126
Epoch 7 Batch 307/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.135
Epoch 7 Batch 308/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.141
Epoch 7 Batch 309/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.115
Epoch 7 Batch 310/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.169
Epoch 8 Batch 0/312 - Train Accuracy: 0.929, Validation Accuracy: 0.973, Loss: 0.132
Epoch 8 Batch 1/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.093
Epoch 8 Batch 2/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.164
Epoch 8 Batch 3/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.130
Epoch 8 Batch 4/312 - Train Accuracy: 0.906, Validation Accuracy: 0.978, Loss: 0.196
Epoch 8 Batch 5/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.112
Epoch 8 Batch 6/312 - Train Accuracy: 0.911, Validation Accuracy: 0.982, Loss: 0.167
Epoch 8 Batch 7/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.105
Epoch 8 Batch 8/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.112
Epoch 8 Batch 9/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.161
Epoch 8 Batch 10/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.128
Epoch 8 Batch 11/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.104
Epoch 8 Batch 12/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.117
Epoch 8 Batch 13/312 - Train Accuracy: 0.888, Validation Accuracy: 0.969, Loss: 0.184
Epoch 8 Batch 14/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.100
Epoch 8 Batch 15/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.111
Epoch 8 Batch 16/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.136
Epoch 8 Batch 17/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.112
Epoch 8 Batch 18/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.108
Epoch 8 Batch 19/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.105
Epoch 8 Batch 20/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.108
Epoch 8 Batch 21/312 - Train Accuracy: 0.938, Validation Accuracy: 0.955, Loss: 0.133
Epoch 8 Batch 22/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.082
Epoch 8 Batch 23/312 - Train Accuracy: 0.987, Validation Accuracy: 0.951, Loss: 0.094
Epoch 8 Batch 24/312 - Train Accuracy: 0.942, Validation Accuracy: 0.969, Loss: 0.129
Epoch 8 Batch 25/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.134
Epoch 8 Batch 26/312 - Train Accuracy: 0.933, Validation Accuracy: 0.951, Loss: 0.132
Epoch 8 Batch 27/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.128
Epoch 8 Batch 28/312 - Train Accuracy: 0.951, Validation Accuracy: 0.955, Loss: 0.147
Epoch 8 Batch 29/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.143
Epoch 8 Batch 30/312 - Train Accuracy: 0.924, Validation Accuracy: 0.951, Loss: 0.106
Epoch 8 Batch 31/312 - Train Accuracy: 0.960, Validation Accuracy: 0.951, Loss: 0.092
Epoch 8 Batch 32/312 - Train Accuracy: 0.897, Validation Accuracy: 0.955, Loss: 0.187
Epoch 8 Batch 33/312 - Train Accuracy: 0.991, Validation Accuracy: 0.955, Loss: 0.067
Epoch 8 Batch 34/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.163
Epoch 8 Batch 35/312 - Train Accuracy: 0.982, Validation Accuracy: 0.955, Loss: 0.103
Epoch 8 Batch 36/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.124
Epoch 8 Batch 37/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.140
Epoch 8 Batch 38/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.149
Epoch 8 Batch 39/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.160
Epoch 8 Batch 40/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.101
Epoch 8 Batch 41/312 - Train Accuracy: 0.911, Validation Accuracy: 0.969, Loss: 0.181
Epoch 8 Batch 42/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.086
Epoch 8 Batch 43/312 - Train Accuracy: 0.911, Validation Accuracy: 0.964, Loss: 0.155
Epoch 8 Batch 44/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.133
Epoch 8 Batch 45/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.149
Epoch 8 Batch 46/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.136
Epoch 8 Batch 47/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.105
Epoch 8 Batch 48/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.151
Epoch 8 Batch 49/312 - Train Accuracy: 0.915, Validation Accuracy: 0.951, Loss: 0.201
Epoch 8 Batch 50/312 - Train Accuracy: 0.964, Validation Accuracy: 0.946, Loss: 0.129
Epoch 8 Batch 51/312 - Train Accuracy: 0.969, Validation Accuracy: 0.955, Loss: 0.121
Epoch 8 Batch 52/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.191
Epoch 8 Batch 53/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.147
Epoch 8 Batch 54/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.119
Epoch 8 Batch 55/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.134
Epoch 8 Batch 56/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.131
Epoch 8 Batch 57/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.138
Epoch 8 Batch 58/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.119
Epoch 8 Batch 59/312 - Train Accuracy: 0.969, Validation Accuracy: 0.942, Loss: 0.086
Epoch 8 Batch 60/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.096
Epoch 8 Batch 61/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.168
Epoch 8 Batch 62/312 - Train Accuracy: 0.938, Validation Accuracy: 0.951, Loss: 0.134
Epoch 8 Batch 63/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.140
Epoch 8 Batch 64/312 - Train Accuracy: 0.933, Validation Accuracy: 0.955, Loss: 0.157
Epoch 8 Batch 65/312 - Train Accuracy: 0.875, Validation Accuracy: 0.946, Loss: 0.199
Epoch 8 Batch 66/312 - Train Accuracy: 0.978, Validation Accuracy: 0.955, Loss: 0.115
Epoch 8 Batch 67/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.142
Epoch 8 Batch 68/312 - Train Accuracy: 0.982, Validation Accuracy: 0.955, Loss: 0.127
Epoch 8 Batch 69/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.118
Epoch 8 Batch 70/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.144
Epoch 8 Batch 71/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.090
Epoch 8 Batch 72/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.125
Epoch 8 Batch 73/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.101
Epoch 8 Batch 74/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.119
Epoch 8 Batch 75/312 - Train Accuracy: 0.929, Validation Accuracy: 0.955, Loss: 0.176
Epoch 8 Batch 76/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.116
Epoch 8 Batch 77/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.129
Epoch 8 Batch 78/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.164
Epoch 8 Batch 79/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.169
Epoch 8 Batch 80/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.092
Epoch 8 Batch 81/312 - Train Accuracy: 0.906, Validation Accuracy: 0.978, Loss: 0.126
Epoch 8 Batch 82/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.130
Epoch 8 Batch 83/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.131
Epoch 8 Batch 84/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.092
Epoch 8 Batch 85/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.098
Epoch 8 Batch 86/312 - Train Accuracy: 0.978, Validation Accuracy: 0.951, Loss: 0.116
Epoch 8 Batch 87/312 - Train Accuracy: 0.955, Validation Accuracy: 0.938, Loss: 0.130
Epoch 8 Batch 88/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.108
Epoch 8 Batch 89/312 - Train Accuracy: 0.929, Validation Accuracy: 0.982, Loss: 0.179
Epoch 8 Batch 90/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.165
Epoch 8 Batch 91/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.127
Epoch 8 Batch 92/312 - Train Accuracy: 0.915, Validation Accuracy: 0.978, Loss: 0.182
Epoch 8 Batch 93/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.124
Epoch 8 Batch 94/312 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.149
Epoch 8 Batch 95/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.105
Epoch 8 Batch 96/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.144
Epoch 8 Batch 97/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.118
Epoch 8 Batch 98/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.090
Epoch 8 Batch 99/312 - Train Accuracy: 0.920, Validation Accuracy: 0.969, Loss: 0.112
Epoch 8 Batch 100/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.167
Epoch 8 Batch 101/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.100
Epoch 8 Batch 102/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.120
Epoch 8 Batch 103/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.101
Epoch 8 Batch 104/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.095
Epoch 8 Batch 105/312 - Train Accuracy: 0.938, Validation Accuracy: 0.973, Loss: 0.189
Epoch 8 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.130
Epoch 8 Batch 107/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.173
Epoch 8 Batch 108/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.102
Epoch 8 Batch 109/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.166
Epoch 8 Batch 110/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.103
Epoch 8 Batch 111/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.135
Epoch 8 Batch 112/312 - Train Accuracy: 0.929, Validation Accuracy: 0.951, Loss: 0.134
Epoch 8 Batch 113/312 - Train Accuracy: 0.942, Validation Accuracy: 0.960, Loss: 0.140
Epoch 8 Batch 114/312 - Train Accuracy: 0.996, Validation Accuracy: 0.955, Loss: 0.084
Epoch 8 Batch 115/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.141
Epoch 8 Batch 116/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.154
Epoch 8 Batch 117/312 - Train Accuracy: 0.929, Validation Accuracy: 0.964, Loss: 0.127
Epoch 8 Batch 118/312 - Train Accuracy: 0.996, Validation Accuracy: 0.964, Loss: 0.093
Epoch 8 Batch 119/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.097
Epoch 8 Batch 120/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.078
Epoch 8 Batch 121/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.149
Epoch 8 Batch 122/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.107
Epoch 8 Batch 123/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.124
Epoch 8 Batch 124/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.123
Epoch 8 Batch 125/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.130
Epoch 8 Batch 126/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.122
Epoch 8 Batch 127/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.115
Epoch 8 Batch 128/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.073
Epoch 8 Batch 129/312 - Train Accuracy: 0.938, Validation Accuracy: 0.960, Loss: 0.173
Epoch 8 Batch 130/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.111
Epoch 8 Batch 131/312 - Train Accuracy: 0.915, Validation Accuracy: 0.973, Loss: 0.164
Epoch 8 Batch 132/312 - Train Accuracy: 0.902, Validation Accuracy: 0.978, Loss: 0.164
Epoch 8 Batch 133/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.078
Epoch 8 Batch 134/312 - Train Accuracy: 0.924, Validation Accuracy: 0.978, Loss: 0.140
Epoch 8 Batch 135/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.121
Epoch 8 Batch 136/312 - Train Accuracy: 0.924, Validation Accuracy: 0.982, Loss: 0.179
Epoch 8 Batch 137/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.087
Epoch 8 Batch 138/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.110
Epoch 8 Batch 139/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.148
Epoch 8 Batch 140/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.076
Epoch 8 Batch 141/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.151
Epoch 8 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.072
Epoch 8 Batch 143/312 - Train Accuracy: 0.902, Validation Accuracy: 0.978, Loss: 0.160
Epoch 8 Batch 144/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.153
Epoch 8 Batch 145/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.107
Epoch 8 Batch 146/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.100
Epoch 8 Batch 147/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.120
Epoch 8 Batch 148/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.138
Epoch 8 Batch 149/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.128
Epoch 8 Batch 150/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.134
Epoch 8 Batch 151/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.085
Epoch 8 Batch 152/312 - Train Accuracy: 0.915, Validation Accuracy: 0.973, Loss: 0.171
Epoch 8 Batch 153/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.130
Epoch 8 Batch 154/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.098
Epoch 8 Batch 155/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.091
Epoch 8 Batch 156/312 - Train Accuracy: 0.938, Validation Accuracy: 0.973, Loss: 0.125
Epoch 8 Batch 157/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.101
Epoch 8 Batch 158/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.132
Epoch 8 Batch 159/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.156
Epoch 8 Batch 160/312 - Train Accuracy: 0.920, Validation Accuracy: 0.978, Loss: 0.154
Epoch 8 Batch 161/312 - Train Accuracy: 0.915, Validation Accuracy: 0.951, Loss: 0.167
Epoch 8 Batch 162/312 - Train Accuracy: 0.951, Validation Accuracy: 0.942, Loss: 0.102
Epoch 8 Batch 163/312 - Train Accuracy: 0.938, Validation Accuracy: 0.942, Loss: 0.121
Epoch 8 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.942, Loss: 0.080
Epoch 8 Batch 165/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.111
Epoch 8 Batch 166/312 - Train Accuracy: 0.888, Validation Accuracy: 0.955, Loss: 0.206
Epoch 8 Batch 167/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.142
Epoch 8 Batch 168/312 - Train Accuracy: 0.982, Validation Accuracy: 0.960, Loss: 0.108
Epoch 8 Batch 169/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.112
Epoch 8 Batch 170/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.113
Epoch 8 Batch 171/312 - Train Accuracy: 0.929, Validation Accuracy: 0.978, Loss: 0.132
Epoch 8 Batch 172/312 - Train Accuracy: 0.929, Validation Accuracy: 0.978, Loss: 0.102
Epoch 8 Batch 173/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.094
Epoch 8 Batch 174/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.135
Epoch 8 Batch 175/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.186
Epoch 8 Batch 176/312 - Train Accuracy: 0.920, Validation Accuracy: 0.978, Loss: 0.142
Epoch 8 Batch 177/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.163
Epoch 8 Batch 178/312 - Train Accuracy: 0.902, Validation Accuracy: 0.969, Loss: 0.153
Epoch 8 Batch 179/312 - Train Accuracy: 0.973, Validation Accuracy: 0.946, Loss: 0.144
Epoch 8 Batch 180/312 - Train Accuracy: 0.951, Validation Accuracy: 0.946, Loss: 0.132
Epoch 8 Batch 181/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.102
Epoch 8 Batch 182/312 - Train Accuracy: 0.978, Validation Accuracy: 0.955, Loss: 0.099
Epoch 8 Batch 183/312 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.148
Epoch 8 Batch 184/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.112
Epoch 8 Batch 185/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.105
Epoch 8 Batch 186/312 - Train Accuracy: 0.915, Validation Accuracy: 0.960, Loss: 0.151
Epoch 8 Batch 187/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.104
Epoch 8 Batch 188/312 - Train Accuracy: 0.920, Validation Accuracy: 0.978, Loss: 0.138
Epoch 8 Batch 189/312 - Train Accuracy: 0.915, Validation Accuracy: 0.964, Loss: 0.159
Epoch 8 Batch 190/312 - Train Accuracy: 0.929, Validation Accuracy: 0.969, Loss: 0.139
Epoch 8 Batch 191/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.069
Epoch 8 Batch 192/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.123
Epoch 8 Batch 193/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.116
Epoch 8 Batch 194/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.150
Epoch 8 Batch 195/312 - Train Accuracy: 0.955, Validation Accuracy: 0.960, Loss: 0.098
Epoch 8 Batch 196/312 - Train Accuracy: 0.991, Validation Accuracy: 0.960, Loss: 0.098
Epoch 8 Batch 197/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.077
Epoch 8 Batch 198/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.087
Epoch 8 Batch 199/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.142
Epoch 8 Batch 200/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.080
Epoch 8 Batch 201/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.100
Epoch 8 Batch 202/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.138
Epoch 8 Batch 203/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.131
Epoch 8 Batch 204/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.125
Epoch 8 Batch 205/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.197
Epoch 8 Batch 206/312 - Train Accuracy: 0.906, Validation Accuracy: 0.982, Loss: 0.129
Epoch 8 Batch 207/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.124
Epoch 8 Batch 208/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.089
Epoch 8 Batch 209/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.135
Epoch 8 Batch 210/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.095
Epoch 8 Batch 211/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.100
Epoch 8 Batch 212/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.077
Epoch 8 Batch 213/312 - Train Accuracy: 0.933, Validation Accuracy: 0.969, Loss: 0.126
Epoch 8 Batch 214/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.145
Epoch 8 Batch 215/312 - Train Accuracy: 0.938, Validation Accuracy: 0.973, Loss: 0.124
Epoch 8 Batch 216/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.110
Epoch 8 Batch 217/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.096
Epoch 8 Batch 218/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.092
Epoch 8 Batch 219/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.117
Epoch 8 Batch 220/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.086
Epoch 8 Batch 221/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.133
Epoch 8 Batch 222/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.109
Epoch 8 Batch 223/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.132
Epoch 8 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.116
Epoch 8 Batch 225/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.145
Epoch 8 Batch 226/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.101
Epoch 8 Batch 227/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.105
Epoch 8 Batch 228/312 - Train Accuracy: 0.920, Validation Accuracy: 0.946, Loss: 0.142
Epoch 8 Batch 229/312 - Train Accuracy: 0.951, Validation Accuracy: 0.951, Loss: 0.096
Epoch 8 Batch 230/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.121
Epoch 8 Batch 231/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.108
Epoch 8 Batch 232/312 - Train Accuracy: 0.915, Validation Accuracy: 0.955, Loss: 0.164
Epoch 8 Batch 233/312 - Train Accuracy: 0.978, Validation Accuracy: 0.955, Loss: 0.090
Epoch 8 Batch 234/312 - Train Accuracy: 0.973, Validation Accuracy: 0.951, Loss: 0.082
Epoch 8 Batch 235/312 - Train Accuracy: 0.946, Validation Accuracy: 0.946, Loss: 0.114
Epoch 8 Batch 236/312 - Train Accuracy: 0.920, Validation Accuracy: 0.964, Loss: 0.157
Epoch 8 Batch 237/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.088
Epoch 8 Batch 238/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.145
Epoch 8 Batch 239/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.102
Epoch 8 Batch 240/312 - Train Accuracy: 0.973, Validation Accuracy: 0.960, Loss: 0.104
Epoch 8 Batch 241/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.131
Epoch 8 Batch 242/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.161
Epoch 8 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.080
Epoch 8 Batch 244/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.071
Epoch 8 Batch 245/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.089
Epoch 8 Batch 246/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.103
Epoch 8 Batch 247/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.114
Epoch 8 Batch 248/312 - Train Accuracy: 0.924, Validation Accuracy: 0.978, Loss: 0.168
Epoch 8 Batch 249/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.152
Epoch 8 Batch 250/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.088
Epoch 8 Batch 251/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.097
Epoch 8 Batch 252/312 - Train Accuracy: 0.951, Validation Accuracy: 0.955, Loss: 0.135
Epoch 8 Batch 253/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.121
Epoch 8 Batch 254/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.141
Epoch 8 Batch 255/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.097
Epoch 8 Batch 256/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.078
Epoch 8 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.084
Epoch 8 Batch 258/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.125
Epoch 8 Batch 259/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.053
Epoch 8 Batch 260/312 - Train Accuracy: 0.924, Validation Accuracy: 0.978, Loss: 0.159
Epoch 8 Batch 261/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.106
Epoch 8 Batch 262/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.073
Epoch 8 Batch 263/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.071
Epoch 8 Batch 264/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.091
Epoch 8 Batch 265/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.114
Epoch 8 Batch 266/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.111
Epoch 8 Batch 267/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.090
Epoch 8 Batch 268/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.073
Epoch 8 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.085
Epoch 8 Batch 270/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.079
Epoch 8 Batch 271/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.109
Epoch 8 Batch 272/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.109
Epoch 8 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.053
Epoch 8 Batch 274/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.088
Epoch 8 Batch 275/312 - Train Accuracy: 0.996, Validation Accuracy: 0.960, Loss: 0.067
Epoch 8 Batch 276/312 - Train Accuracy: 0.973, Validation Accuracy: 0.960, Loss: 0.139
Epoch 8 Batch 277/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.076
Epoch 8 Batch 278/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.112
Epoch 8 Batch 279/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.120
Epoch 8 Batch 280/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.054
Epoch 8 Batch 281/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.110
Epoch 8 Batch 282/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.086
Epoch 8 Batch 283/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.122
Epoch 8 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.048
Epoch 8 Batch 285/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.126
Epoch 8 Batch 286/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.133
Epoch 8 Batch 287/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.077
Epoch 8 Batch 288/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.084
Epoch 8 Batch 289/312 - Train Accuracy: 0.929, Validation Accuracy: 0.978, Loss: 0.119
Epoch 8 Batch 290/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.078
Epoch 8 Batch 291/312 - Train Accuracy: 0.915, Validation Accuracy: 0.973, Loss: 0.108
Epoch 8 Batch 292/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.102
Epoch 8 Batch 293/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.103
Epoch 8 Batch 294/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.097
Epoch 8 Batch 295/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.132
Epoch 8 Batch 296/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.136
Epoch 8 Batch 297/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.126
Epoch 8 Batch 298/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.102
Epoch 8 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.096
Epoch 8 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.072
Epoch 8 Batch 301/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.098
Epoch 8 Batch 302/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.098
Epoch 8 Batch 303/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.112
Epoch 8 Batch 304/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.109
Epoch 8 Batch 305/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.112
Epoch 8 Batch 306/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.096
Epoch 8 Batch 307/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.113
Epoch 8 Batch 308/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.108
Epoch 8 Batch 309/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.084
Epoch 8 Batch 310/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.146
Epoch 9 Batch 0/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.096
Epoch 9 Batch 1/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.066
Epoch 9 Batch 2/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.121
Epoch 9 Batch 3/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.095
Epoch 9 Batch 4/312 - Train Accuracy: 0.929, Validation Accuracy: 0.978, Loss: 0.168
Epoch 9 Batch 5/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.079
Epoch 9 Batch 6/312 - Train Accuracy: 0.911, Validation Accuracy: 0.973, Loss: 0.129
Epoch 9 Batch 7/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.084
Epoch 9 Batch 8/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.086
Epoch 9 Batch 9/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.110
Epoch 9 Batch 10/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.093
Epoch 9 Batch 11/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.090
Epoch 9 Batch 12/312 - Train Accuracy: 0.946, Validation Accuracy: 0.960, Loss: 0.097
Epoch 9 Batch 13/312 - Train Accuracy: 0.929, Validation Accuracy: 0.978, Loss: 0.146
Epoch 9 Batch 14/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.076
Epoch 9 Batch 15/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.081
Epoch 9 Batch 16/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.092
Epoch 9 Batch 17/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.084
Epoch 9 Batch 18/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.079
Epoch 9 Batch 19/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.081
Epoch 9 Batch 20/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.077
Epoch 9 Batch 21/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.106
Epoch 9 Batch 22/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.058
Epoch 9 Batch 23/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.069
Epoch 9 Batch 24/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.094
Epoch 9 Batch 25/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.100
Epoch 9 Batch 26/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.096
Epoch 9 Batch 27/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.096
Epoch 9 Batch 28/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.107
Epoch 9 Batch 29/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.109
Epoch 9 Batch 30/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.083
Epoch 9 Batch 31/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.067
Epoch 9 Batch 32/312 - Train Accuracy: 0.911, Validation Accuracy: 0.969, Loss: 0.149
Epoch 9 Batch 33/312 - Train Accuracy: 0.991, Validation Accuracy: 0.960, Loss: 0.046
Epoch 9 Batch 34/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.118
Epoch 9 Batch 35/312 - Train Accuracy: 0.991, Validation Accuracy: 0.951, Loss: 0.075
Epoch 9 Batch 36/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.096
Epoch 9 Batch 37/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.107
Epoch 9 Batch 38/312 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.119
Epoch 9 Batch 39/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.106
Epoch 9 Batch 40/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.085
Epoch 9 Batch 41/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.147
Epoch 9 Batch 42/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.060
Epoch 9 Batch 43/312 - Train Accuracy: 0.911, Validation Accuracy: 0.982, Loss: 0.125
Epoch 9 Batch 44/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.089
Epoch 9 Batch 45/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.111
Epoch 9 Batch 46/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.096
Epoch 9 Batch 47/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.082
Epoch 9 Batch 48/312 - Train Accuracy: 0.924, Validation Accuracy: 0.964, Loss: 0.106
Epoch 9 Batch 49/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.139
Epoch 9 Batch 50/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.095
Epoch 9 Batch 51/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.075
Epoch 9 Batch 52/312 - Train Accuracy: 0.955, Validation Accuracy: 0.964, Loss: 0.140
Epoch 9 Batch 53/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.104
Epoch 9 Batch 54/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.091
Epoch 9 Batch 55/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.088
Epoch 9 Batch 56/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.089
Epoch 9 Batch 57/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.094
Epoch 9 Batch 58/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.083
Epoch 9 Batch 59/312 - Train Accuracy: 0.969, Validation Accuracy: 0.960, Loss: 0.062
Epoch 9 Batch 60/312 - Train Accuracy: 0.978, Validation Accuracy: 0.955, Loss: 0.073
Epoch 9 Batch 61/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.108
Epoch 9 Batch 62/312 - Train Accuracy: 0.942, Validation Accuracy: 0.951, Loss: 0.094
Epoch 9 Batch 63/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.105
Epoch 9 Batch 64/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.113
Epoch 9 Batch 65/312 - Train Accuracy: 0.897, Validation Accuracy: 0.964, Loss: 0.146
Epoch 9 Batch 66/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.084
Epoch 9 Batch 67/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.099
Epoch 9 Batch 68/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.086
Epoch 9 Batch 69/312 - Train Accuracy: 0.973, Validation Accuracy: 0.951, Loss: 0.070
Epoch 9 Batch 70/312 - Train Accuracy: 0.955, Validation Accuracy: 0.951, Loss: 0.104
Epoch 9 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.955, Loss: 0.068
Epoch 9 Batch 72/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.097
Epoch 9 Batch 73/312 - Train Accuracy: 0.996, Validation Accuracy: 0.960, Loss: 0.061
Epoch 9 Batch 74/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.076
Epoch 9 Batch 75/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.113
Epoch 9 Batch 76/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.091
Epoch 9 Batch 77/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.102
Epoch 9 Batch 78/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.126
Epoch 9 Batch 79/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.108
Epoch 9 Batch 80/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.076
Epoch 9 Batch 81/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.080
Epoch 9 Batch 82/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.091
Epoch 9 Batch 83/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.091
Epoch 9 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.054
Epoch 9 Batch 85/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.074
Epoch 9 Batch 86/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.080
Epoch 9 Batch 87/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.089
Epoch 9 Batch 88/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.074
Epoch 9 Batch 89/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.114
Epoch 9 Batch 90/312 - Train Accuracy: 0.929, Validation Accuracy: 0.973, Loss: 0.128
Epoch 9 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.073
Epoch 9 Batch 92/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.111
Epoch 9 Batch 93/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.093
Epoch 9 Batch 94/312 - Train Accuracy: 0.933, Validation Accuracy: 0.982, Loss: 0.107
Epoch 9 Batch 95/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.059
Epoch 9 Batch 96/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.096
Epoch 9 Batch 97/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.082
Epoch 9 Batch 98/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.071
Epoch 9 Batch 99/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.082
Epoch 9 Batch 100/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.116
Epoch 9 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.057
Epoch 9 Batch 102/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.082
Epoch 9 Batch 103/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.072
Epoch 9 Batch 104/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.068
Epoch 9 Batch 105/312 - Train Accuracy: 0.933, Validation Accuracy: 0.960, Loss: 0.138
Epoch 9 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.101
Epoch 9 Batch 107/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.108
Epoch 9 Batch 108/312 - Train Accuracy: 0.969, Validation Accuracy: 0.951, Loss: 0.067
Epoch 9 Batch 109/312 - Train Accuracy: 0.960, Validation Accuracy: 0.946, Loss: 0.123
Epoch 9 Batch 110/312 - Train Accuracy: 0.973, Validation Accuracy: 0.955, Loss: 0.083
Epoch 9 Batch 111/312 - Train Accuracy: 0.929, Validation Accuracy: 0.973, Loss: 0.110
Epoch 9 Batch 112/312 - Train Accuracy: 0.920, Validation Accuracy: 0.982, Loss: 0.107
Epoch 9 Batch 113/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.097
Epoch 9 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.061
Epoch 9 Batch 115/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.110
Epoch 9 Batch 116/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.126
Epoch 9 Batch 117/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.100
Epoch 9 Batch 118/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.064
Epoch 9 Batch 119/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.071
Epoch 9 Batch 120/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.066
Epoch 9 Batch 121/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.120
Epoch 9 Batch 122/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.088
Epoch 9 Batch 123/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.093
Epoch 9 Batch 124/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.095
Epoch 9 Batch 125/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.094
Epoch 9 Batch 126/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.098
Epoch 9 Batch 127/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.097
Epoch 9 Batch 128/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.052
Epoch 9 Batch 129/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.140
Epoch 9 Batch 130/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.083
Epoch 9 Batch 131/312 - Train Accuracy: 0.955, Validation Accuracy: 0.991, Loss: 0.151
Epoch 9 Batch 132/312 - Train Accuracy: 0.929, Validation Accuracy: 0.991, Loss: 0.135
Epoch 9 Batch 133/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.056
Epoch 9 Batch 134/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.104
Epoch 9 Batch 135/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.090
Epoch 9 Batch 136/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.142
Epoch 9 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.057
Epoch 9 Batch 138/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.087
Epoch 9 Batch 139/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.115
Epoch 9 Batch 140/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.060
Epoch 9 Batch 141/312 - Train Accuracy: 0.915, Validation Accuracy: 0.973, Loss: 0.133
Epoch 9 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.053
Epoch 9 Batch 143/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.119
Epoch 9 Batch 144/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.124
Epoch 9 Batch 145/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.084
Epoch 9 Batch 146/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.080
Epoch 9 Batch 147/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.103
Epoch 9 Batch 148/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.100
Epoch 9 Batch 149/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.096
Epoch 9 Batch 150/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.101
Epoch 9 Batch 151/312 - Train Accuracy: 0.964, Validation Accuracy: 0.960, Loss: 0.066
Epoch 9 Batch 152/312 - Train Accuracy: 0.906, Validation Accuracy: 0.960, Loss: 0.127
Epoch 9 Batch 153/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.104
Epoch 9 Batch 154/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.068
Epoch 9 Batch 155/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.067
Epoch 9 Batch 156/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.088
Epoch 9 Batch 157/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.085
Epoch 9 Batch 158/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.103
Epoch 9 Batch 159/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.130
Epoch 9 Batch 160/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.117
Epoch 9 Batch 161/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.136
Epoch 9 Batch 162/312 - Train Accuracy: 0.969, Validation Accuracy: 0.942, Loss: 0.079
Epoch 9 Batch 163/312 - Train Accuracy: 0.942, Validation Accuracy: 0.955, Loss: 0.099
Epoch 9 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.058
Epoch 9 Batch 165/312 - Train Accuracy: 0.973, Validation Accuracy: 0.960, Loss: 0.076
Epoch 9 Batch 166/312 - Train Accuracy: 0.893, Validation Accuracy: 0.973, Loss: 0.159
Epoch 9 Batch 167/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.093
Epoch 9 Batch 168/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.082
Epoch 9 Batch 169/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.087
Epoch 9 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.081
Epoch 9 Batch 171/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.111
Epoch 9 Batch 172/312 - Train Accuracy: 0.906, Validation Accuracy: 0.973, Loss: 0.077
Epoch 9 Batch 173/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.076
Epoch 9 Batch 174/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.114
Epoch 9 Batch 175/312 - Train Accuracy: 0.938, Validation Accuracy: 0.973, Loss: 0.147
Epoch 9 Batch 176/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.116
Epoch 9 Batch 177/312 - Train Accuracy: 0.946, Validation Accuracy: 0.969, Loss: 0.129
Epoch 9 Batch 178/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.112
Epoch 9 Batch 179/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.104
Epoch 9 Batch 180/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.098
Epoch 9 Batch 181/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.078
Epoch 9 Batch 182/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.087
Epoch 9 Batch 183/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.109
Epoch 9 Batch 184/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.083
Epoch 9 Batch 185/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.082
Epoch 9 Batch 186/312 - Train Accuracy: 0.929, Validation Accuracy: 0.973, Loss: 0.133
Epoch 9 Batch 187/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.078
Epoch 9 Batch 188/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.112
Epoch 9 Batch 189/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.139
Epoch 9 Batch 190/312 - Train Accuracy: 0.946, Validation Accuracy: 0.964, Loss: 0.112
Epoch 9 Batch 191/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.057
Epoch 9 Batch 192/312 - Train Accuracy: 0.942, Validation Accuracy: 0.969, Loss: 0.106
Epoch 9 Batch 193/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.097
Epoch 9 Batch 194/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.119
Epoch 9 Batch 195/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.074
Epoch 9 Batch 196/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.073
Epoch 9 Batch 197/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.067
Epoch 9 Batch 198/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.076
Epoch 9 Batch 199/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.123
Epoch 9 Batch 200/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.060
Epoch 9 Batch 201/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.074
Epoch 9 Batch 202/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.103
Epoch 9 Batch 203/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.097
Epoch 9 Batch 204/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.090
Epoch 9 Batch 205/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.149
Epoch 9 Batch 206/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.107
Epoch 9 Batch 207/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.093
Epoch 9 Batch 208/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.066
Epoch 9 Batch 209/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.075
Epoch 9 Batch 210/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.075
Epoch 9 Batch 211/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.077
Epoch 9 Batch 212/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.057
Epoch 9 Batch 213/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.086
Epoch 9 Batch 214/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.107
Epoch 9 Batch 215/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.095
Epoch 9 Batch 216/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.076
Epoch 9 Batch 217/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.070
Epoch 9 Batch 218/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.067
Epoch 9 Batch 219/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.093
Epoch 9 Batch 220/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.066
Epoch 9 Batch 221/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.097
Epoch 9 Batch 222/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.086
Epoch 9 Batch 223/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.100
Epoch 9 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.085
Epoch 9 Batch 225/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.103
Epoch 9 Batch 226/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.073
Epoch 9 Batch 227/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.077
Epoch 9 Batch 228/312 - Train Accuracy: 0.924, Validation Accuracy: 0.978, Loss: 0.116
Epoch 9 Batch 229/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.075
Epoch 9 Batch 230/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.096
Epoch 9 Batch 231/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.079
Epoch 9 Batch 232/312 - Train Accuracy: 0.938, Validation Accuracy: 0.973, Loss: 0.120
Epoch 9 Batch 233/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.067
Epoch 9 Batch 234/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.070
Epoch 9 Batch 235/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.087
Epoch 9 Batch 236/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.120
Epoch 9 Batch 237/312 - Train Accuracy: 0.960, Validation Accuracy: 0.991, Loss: 0.069
Epoch 9 Batch 238/312 - Train Accuracy: 0.938, Validation Accuracy: 0.991, Loss: 0.111
Epoch 9 Batch 239/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.073
Epoch 9 Batch 240/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.083
Epoch 9 Batch 241/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.103
Epoch 9 Batch 242/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.130
Epoch 9 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.063
Epoch 9 Batch 244/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.054
Epoch 9 Batch 245/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.063
Epoch 9 Batch 246/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.080
Epoch 9 Batch 247/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.089
Epoch 9 Batch 248/312 - Train Accuracy: 0.933, Validation Accuracy: 0.978, Loss: 0.136
Epoch 9 Batch 249/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.123
Epoch 9 Batch 250/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.069
Epoch 9 Batch 251/312 - Train Accuracy: 0.951, Validation Accuracy: 0.960, Loss: 0.076
Epoch 9 Batch 252/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.113
Epoch 9 Batch 253/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.094
Epoch 9 Batch 254/312 - Train Accuracy: 0.938, Validation Accuracy: 0.969, Loss: 0.128
Epoch 9 Batch 255/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.076
Epoch 9 Batch 256/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.071
Epoch 9 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.063
Epoch 9 Batch 258/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.094
Epoch 9 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.044
Epoch 9 Batch 260/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.126
Epoch 9 Batch 261/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.080
Epoch 9 Batch 262/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.053
Epoch 9 Batch 263/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.058
Epoch 9 Batch 264/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.065
Epoch 9 Batch 265/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.090
Epoch 9 Batch 266/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.087
Epoch 9 Batch 267/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.068
Epoch 9 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.055
Epoch 9 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.062
Epoch 9 Batch 270/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.065
Epoch 9 Batch 271/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.088
Epoch 9 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.085
Epoch 9 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.038
Epoch 9 Batch 274/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.067
Epoch 9 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.051
Epoch 9 Batch 276/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.112
Epoch 9 Batch 277/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.059
Epoch 9 Batch 278/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.080
Epoch 9 Batch 279/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.092
Epoch 9 Batch 280/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.040
Epoch 9 Batch 281/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.087
Epoch 9 Batch 282/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.069
Epoch 9 Batch 283/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.096
Epoch 9 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 9 Batch 285/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.098
Epoch 9 Batch 286/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.104
Epoch 9 Batch 287/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.061
Epoch 9 Batch 288/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.063
Epoch 9 Batch 289/312 - Train Accuracy: 0.929, Validation Accuracy: 0.991, Loss: 0.093
Epoch 9 Batch 290/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.059
Epoch 9 Batch 291/312 - Train Accuracy: 0.933, Validation Accuracy: 0.991, Loss: 0.091
Epoch 9 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.080
Epoch 9 Batch 293/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.078
Epoch 9 Batch 294/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.076
Epoch 9 Batch 295/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.100
Epoch 9 Batch 296/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.116
Epoch 9 Batch 297/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.097
Epoch 9 Batch 298/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.073
Epoch 9 Batch 299/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.073
Epoch 9 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 9 Batch 301/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.078
Epoch 9 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.081
Epoch 9 Batch 303/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.097
Epoch 9 Batch 304/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.083
Epoch 9 Batch 305/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.085
Epoch 9 Batch 306/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.073
Epoch 9 Batch 307/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.087
Epoch 9 Batch 308/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.086
Epoch 9 Batch 309/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.065
Epoch 9 Batch 310/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.098
Epoch 10 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.070
Epoch 10 Batch 1/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.051
Epoch 10 Batch 2/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.091
Epoch 10 Batch 3/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.074
Epoch 10 Batch 4/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.124
Epoch 10 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.058
Epoch 10 Batch 6/312 - Train Accuracy: 0.929, Validation Accuracy: 0.982, Loss: 0.105
Epoch 10 Batch 7/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.065
Epoch 10 Batch 8/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.067
Epoch 10 Batch 9/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.087
Epoch 10 Batch 10/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.067
Epoch 10 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.071
Epoch 10 Batch 12/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.075
Epoch 10 Batch 13/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.115
Epoch 10 Batch 14/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.057
Epoch 10 Batch 15/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.060
Epoch 10 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.066
Epoch 10 Batch 17/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.069
Epoch 10 Batch 18/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.061
Epoch 10 Batch 19/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.070
Epoch 10 Batch 20/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.061
Epoch 10 Batch 21/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.084
Epoch 10 Batch 22/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.045
Epoch 10 Batch 23/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.050
Epoch 10 Batch 24/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.071
Epoch 10 Batch 25/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.075
Epoch 10 Batch 26/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.074
Epoch 10 Batch 27/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.072
Epoch 10 Batch 28/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.078
Epoch 10 Batch 29/312 - Train Accuracy: 0.951, Validation Accuracy: 0.964, Loss: 0.085
Epoch 10 Batch 30/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.067
Epoch 10 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.050
Epoch 10 Batch 32/312 - Train Accuracy: 0.915, Validation Accuracy: 0.978, Loss: 0.122
Epoch 10 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.034
Epoch 10 Batch 34/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.088
Epoch 10 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.054
Epoch 10 Batch 36/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.066
Epoch 10 Batch 37/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.081
Epoch 10 Batch 38/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.094
Epoch 10 Batch 39/312 - Train Accuracy: 0.960, Validation Accuracy: 0.991, Loss: 0.075
Epoch 10 Batch 40/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.067
Epoch 10 Batch 41/312 - Train Accuracy: 0.933, Validation Accuracy: 0.991, Loss: 0.115
Epoch 10 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.046
Epoch 10 Batch 43/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.102
Epoch 10 Batch 44/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.070
Epoch 10 Batch 45/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.096
Epoch 10 Batch 46/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.073
Epoch 10 Batch 47/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.065
Epoch 10 Batch 48/312 - Train Accuracy: 0.929, Validation Accuracy: 0.973, Loss: 0.088
Epoch 10 Batch 49/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.114
Epoch 10 Batch 50/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.080
Epoch 10 Batch 51/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.058
Epoch 10 Batch 52/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.112
Epoch 10 Batch 53/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.084
Epoch 10 Batch 54/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.079
Epoch 10 Batch 55/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.073
Epoch 10 Batch 56/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.070
Epoch 10 Batch 57/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.075
Epoch 10 Batch 58/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.057
Epoch 10 Batch 59/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.048
Epoch 10 Batch 60/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.062
Epoch 10 Batch 61/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.089
Epoch 10 Batch 62/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.072
Epoch 10 Batch 63/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.092
Epoch 10 Batch 64/312 - Train Accuracy: 0.938, Validation Accuracy: 0.991, Loss: 0.096
Epoch 10 Batch 65/312 - Train Accuracy: 0.951, Validation Accuracy: 0.991, Loss: 0.121
Epoch 10 Batch 66/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.060
Epoch 10 Batch 67/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.079
Epoch 10 Batch 68/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.066
Epoch 10 Batch 69/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.051
Epoch 10 Batch 70/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.091
Epoch 10 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.056
Epoch 10 Batch 72/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.082
Epoch 10 Batch 73/312 - Train Accuracy: 0.996, Validation Accuracy: 0.960, Loss: 0.044
Epoch 10 Batch 74/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.060
Epoch 10 Batch 75/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.104
Epoch 10 Batch 76/312 - Train Accuracy: 0.960, Validation Accuracy: 0.991, Loss: 0.076
Epoch 10 Batch 77/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.076
Epoch 10 Batch 78/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.101
Epoch 10 Batch 79/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.087
Epoch 10 Batch 80/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.059
Epoch 10 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.062
Epoch 10 Batch 82/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.064
Epoch 10 Batch 83/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.068
Epoch 10 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.040
Epoch 10 Batch 85/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.056
Epoch 10 Batch 86/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.060
Epoch 10 Batch 87/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.071
Epoch 10 Batch 88/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.059
Epoch 10 Batch 89/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.093
Epoch 10 Batch 90/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.104
Epoch 10 Batch 91/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.060
Epoch 10 Batch 92/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.086
Epoch 10 Batch 93/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.075
Epoch 10 Batch 94/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.086
Epoch 10 Batch 95/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.052
Epoch 10 Batch 96/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.077
Epoch 10 Batch 97/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.062
Epoch 10 Batch 98/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.055
Epoch 10 Batch 99/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.064
Epoch 10 Batch 100/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.078
Epoch 10 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 10 Batch 102/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.062
Epoch 10 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.055
Epoch 10 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.048
Epoch 10 Batch 105/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.111
Epoch 10 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.084
Epoch 10 Batch 107/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.086
Epoch 10 Batch 108/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.051
Epoch 10 Batch 109/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.094
Epoch 10 Batch 110/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.060
Epoch 10 Batch 111/312 - Train Accuracy: 0.938, Validation Accuracy: 0.964, Loss: 0.086
Epoch 10 Batch 112/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.091
Epoch 10 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.075
Epoch 10 Batch 114/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.048
Epoch 10 Batch 115/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.090
Epoch 10 Batch 116/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.087
Epoch 10 Batch 117/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.070
Epoch 10 Batch 118/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.053
Epoch 10 Batch 119/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.058
Epoch 10 Batch 120/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.044
Epoch 10 Batch 121/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.090
Epoch 10 Batch 122/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.066
Epoch 10 Batch 123/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.088
Epoch 10 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.068
Epoch 10 Batch 125/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.070
Epoch 10 Batch 126/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.074
Epoch 10 Batch 127/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.077
Epoch 10 Batch 128/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.059
Epoch 10 Batch 129/312 - Train Accuracy: 0.924, Validation Accuracy: 0.987, Loss: 0.108
Epoch 10 Batch 130/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.060
Epoch 10 Batch 131/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.100
Epoch 10 Batch 132/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.109
Epoch 10 Batch 133/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.047
Epoch 10 Batch 134/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.105
Epoch 10 Batch 135/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.071
Epoch 10 Batch 136/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.114
Epoch 10 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.048
Epoch 10 Batch 138/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.070
Epoch 10 Batch 139/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.104
Epoch 10 Batch 140/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.046
Epoch 10 Batch 141/312 - Train Accuracy: 0.924, Validation Accuracy: 0.969, Loss: 0.115
Epoch 10 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.044
Epoch 10 Batch 143/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.096
Epoch 10 Batch 144/312 - Train Accuracy: 0.960, Validation Accuracy: 0.955, Loss: 0.098
Epoch 10 Batch 145/312 - Train Accuracy: 0.964, Validation Accuracy: 0.955, Loss: 0.063
Epoch 10 Batch 146/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.054
Epoch 10 Batch 147/312 - Train Accuracy: 0.964, Validation Accuracy: 0.969, Loss: 0.088
Epoch 10 Batch 148/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.086
Epoch 10 Batch 149/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.078
Epoch 10 Batch 150/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.084
Epoch 10 Batch 151/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.065
Epoch 10 Batch 152/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.100
Epoch 10 Batch 153/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.078
Epoch 10 Batch 154/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.053
Epoch 10 Batch 155/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.054
Epoch 10 Batch 156/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.072
Epoch 10 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.064
Epoch 10 Batch 158/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.075
Epoch 10 Batch 159/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.101
Epoch 10 Batch 160/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.100
Epoch 10 Batch 161/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.108
Epoch 10 Batch 162/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.070
Epoch 10 Batch 163/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.079
Epoch 10 Batch 164/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.045
Epoch 10 Batch 165/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.054
Epoch 10 Batch 166/312 - Train Accuracy: 0.933, Validation Accuracy: 0.973, Loss: 0.123
Epoch 10 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.082
Epoch 10 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.075
Epoch 10 Batch 169/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.065
Epoch 10 Batch 170/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.064
Epoch 10 Batch 171/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.096
Epoch 10 Batch 172/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.066
Epoch 10 Batch 173/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.062
Epoch 10 Batch 174/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.075
Epoch 10 Batch 175/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.111
Epoch 10 Batch 176/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.093
Epoch 10 Batch 177/312 - Train Accuracy: 0.960, Validation Accuracy: 0.964, Loss: 0.113
Epoch 10 Batch 178/312 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.094
Epoch 10 Batch 179/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.075
Epoch 10 Batch 180/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.067
Epoch 10 Batch 181/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.061
Epoch 10 Batch 182/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.069
Epoch 10 Batch 183/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.085
Epoch 10 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.059
Epoch 10 Batch 185/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.067
Epoch 10 Batch 186/312 - Train Accuracy: 0.933, Validation Accuracy: 0.987, Loss: 0.100
Epoch 10 Batch 187/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.058
Epoch 10 Batch 188/312 - Train Accuracy: 0.942, Validation Accuracy: 0.973, Loss: 0.087
Epoch 10 Batch 189/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.092
Epoch 10 Batch 190/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.086
Epoch 10 Batch 191/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.047
Epoch 10 Batch 192/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.087
Epoch 10 Batch 193/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.068
Epoch 10 Batch 194/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.096
Epoch 10 Batch 195/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.056
Epoch 10 Batch 196/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.063
Epoch 10 Batch 197/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.052
Epoch 10 Batch 198/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.045
Epoch 10 Batch 199/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.087
Epoch 10 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.045
Epoch 10 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.057
Epoch 10 Batch 202/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.082
Epoch 10 Batch 203/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.076
Epoch 10 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.062
Epoch 10 Batch 205/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.118
Epoch 10 Batch 206/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.080
Epoch 10 Batch 207/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.076
Epoch 10 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.047
Epoch 10 Batch 209/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.061
Epoch 10 Batch 210/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.056
Epoch 10 Batch 211/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.067
Epoch 10 Batch 212/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.044
Epoch 10 Batch 213/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.066
Epoch 10 Batch 214/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.084
Epoch 10 Batch 215/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.085
Epoch 10 Batch 216/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.056
Epoch 10 Batch 217/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.057
Epoch 10 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.052
Epoch 10 Batch 219/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.067
Epoch 10 Batch 220/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.053
Epoch 10 Batch 221/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.075
Epoch 10 Batch 222/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.071
Epoch 10 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.075
Epoch 10 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.070
Epoch 10 Batch 225/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.084
Epoch 10 Batch 226/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.054
Epoch 10 Batch 227/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.059
Epoch 10 Batch 228/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.098
Epoch 10 Batch 229/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.054
Epoch 10 Batch 230/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.079
Epoch 10 Batch 231/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.060
Epoch 10 Batch 232/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.085
Epoch 10 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.053
Epoch 10 Batch 234/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.051
Epoch 10 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.065
Epoch 10 Batch 236/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.093
Epoch 10 Batch 237/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.063
Epoch 10 Batch 238/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.090
Epoch 10 Batch 239/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.060
Epoch 10 Batch 240/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.065
Epoch 10 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.075
Epoch 10 Batch 242/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.100
Epoch 10 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 10 Batch 244/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 10 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.046
Epoch 10 Batch 246/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.057
Epoch 10 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.065
Epoch 10 Batch 248/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.111
Epoch 10 Batch 249/312 - Train Accuracy: 0.960, Validation Accuracy: 0.991, Loss: 0.100
Epoch 10 Batch 250/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.051
Epoch 10 Batch 251/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.051
Epoch 10 Batch 252/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.079
Epoch 10 Batch 253/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.069
Epoch 10 Batch 254/312 - Train Accuracy: 0.946, Validation Accuracy: 0.978, Loss: 0.106
Epoch 10 Batch 255/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.060
Epoch 10 Batch 256/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.056
Epoch 10 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 10 Batch 258/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.075
Epoch 10 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 10 Batch 260/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.094
Epoch 10 Batch 261/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.060
Epoch 10 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.045
Epoch 10 Batch 263/312 - Train Accuracy: 0.969, Validation Accuracy: 0.991, Loss: 0.047
Epoch 10 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.050
Epoch 10 Batch 265/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.067
Epoch 10 Batch 266/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.070
Epoch 10 Batch 267/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.050
Epoch 10 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 10 Batch 269/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.054
Epoch 10 Batch 270/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.050
Epoch 10 Batch 271/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.070
Epoch 10 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.067
Epoch 10 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 10 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.057
Epoch 10 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 10 Batch 276/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.085
Epoch 10 Batch 277/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.048
Epoch 10 Batch 278/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.067
Epoch 10 Batch 279/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.080
Epoch 10 Batch 280/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.034
Epoch 10 Batch 281/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.063
Epoch 10 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.046
Epoch 10 Batch 283/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.079
Epoch 10 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 10 Batch 285/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.080
Epoch 10 Batch 286/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.080
Epoch 10 Batch 287/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.050
Epoch 10 Batch 288/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.046
Epoch 10 Batch 289/312 - Train Accuracy: 0.933, Validation Accuracy: 0.991, Loss: 0.075
Epoch 10 Batch 290/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.052
Epoch 10 Batch 291/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.079
Epoch 10 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.063
Epoch 10 Batch 293/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.063
Epoch 10 Batch 294/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.058
Epoch 10 Batch 295/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.085
Epoch 10 Batch 296/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.097
Epoch 10 Batch 297/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.077
Epoch 10 Batch 298/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.051
Epoch 10 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.058
Epoch 10 Batch 300/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.038
Epoch 10 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.068
Epoch 10 Batch 302/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.069
Epoch 10 Batch 303/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.072
Epoch 10 Batch 304/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.069
Epoch 10 Batch 305/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.069
Epoch 10 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.052
Epoch 10 Batch 307/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.071
Epoch 10 Batch 308/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.073
Epoch 10 Batch 309/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.053
Epoch 10 Batch 310/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.076
Epoch 11 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.059
Epoch 11 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.041
Epoch 11 Batch 2/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.085
Epoch 11 Batch 3/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 4/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.093
Epoch 11 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.045
Epoch 11 Batch 6/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.092
Epoch 11 Batch 7/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.053
Epoch 11 Batch 8/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 9/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.065
Epoch 11 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.050
Epoch 11 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.061
Epoch 11 Batch 12/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.057
Epoch 11 Batch 13/312 - Train Accuracy: 0.920, Validation Accuracy: 0.978, Loss: 0.099
Epoch 11 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.043
Epoch 11 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.044
Epoch 11 Batch 16/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.052
Epoch 11 Batch 17/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.053
Epoch 11 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.050
Epoch 11 Batch 19/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.062
Epoch 11 Batch 20/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.045
Epoch 11 Batch 21/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.072
Epoch 11 Batch 22/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.036
Epoch 11 Batch 23/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.043
Epoch 11 Batch 24/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.061
Epoch 11 Batch 25/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.061
Epoch 11 Batch 26/312 - Train Accuracy: 0.991, Validation Accuracy: 0.955, Loss: 0.059
Epoch 11 Batch 27/312 - Train Accuracy: 0.991, Validation Accuracy: 0.960, Loss: 0.059
Epoch 11 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.064
Epoch 11 Batch 29/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.070
Epoch 11 Batch 30/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.060
Epoch 11 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.043
Epoch 11 Batch 32/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.116
Epoch 11 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 11 Batch 34/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.072
Epoch 11 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.043
Epoch 11 Batch 36/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.069
Epoch 11 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.079
Epoch 11 Batch 38/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.077
Epoch 11 Batch 39/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.067
Epoch 11 Batch 40/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.062
Epoch 11 Batch 41/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.112
Epoch 11 Batch 42/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.038
Epoch 11 Batch 43/312 - Train Accuracy: 0.951, Validation Accuracy: 0.973, Loss: 0.086
Epoch 11 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 45/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.061
Epoch 11 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.048
Epoch 11 Batch 47/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 48/312 - Train Accuracy: 0.933, Validation Accuracy: 0.987, Loss: 0.074
Epoch 11 Batch 49/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.111
Epoch 11 Batch 50/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.062
Epoch 11 Batch 51/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.049
Epoch 11 Batch 52/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.093
Epoch 11 Batch 53/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.061
Epoch 11 Batch 54/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.059
Epoch 11 Batch 55/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.059
Epoch 11 Batch 56/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.053
Epoch 11 Batch 57/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.060
Epoch 11 Batch 58/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.048
Epoch 11 Batch 59/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.038
Epoch 11 Batch 60/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 61/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.069
Epoch 11 Batch 62/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.052
Epoch 11 Batch 63/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.077
Epoch 11 Batch 64/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.075
Epoch 11 Batch 65/312 - Train Accuracy: 0.955, Validation Accuracy: 0.991, Loss: 0.098
Epoch 11 Batch 66/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.047
Epoch 11 Batch 67/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.059
Epoch 11 Batch 68/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.051
Epoch 11 Batch 69/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.034
Epoch 11 Batch 70/312 - Train Accuracy: 0.964, Validation Accuracy: 0.991, Loss: 0.060
Epoch 11 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.040
Epoch 11 Batch 72/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.062
Epoch 11 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 11 Batch 74/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.043
Epoch 11 Batch 75/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.071
Epoch 11 Batch 76/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.053
Epoch 11 Batch 77/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.057
Epoch 11 Batch 78/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.073
Epoch 11 Batch 79/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.065
Epoch 11 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 11 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.048
Epoch 11 Batch 82/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.045
Epoch 11 Batch 83/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.051
Epoch 11 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 11 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.043
Epoch 11 Batch 86/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.047
Epoch 11 Batch 87/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.059
Epoch 11 Batch 88/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.044
Epoch 11 Batch 89/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.069
Epoch 11 Batch 90/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.085
Epoch 11 Batch 91/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.051
Epoch 11 Batch 92/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.073
Epoch 11 Batch 93/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.056
Epoch 11 Batch 94/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.065
Epoch 11 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 11 Batch 96/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.061
Epoch 11 Batch 97/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 98/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 99/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.053
Epoch 11 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.057
Epoch 11 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.035
Epoch 11 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.041
Epoch 11 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.048
Epoch 11 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.035
Epoch 11 Batch 105/312 - Train Accuracy: 0.946, Validation Accuracy: 0.973, Loss: 0.075
Epoch 11 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.065
Epoch 11 Batch 107/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.087
Epoch 11 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 11 Batch 109/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.074
Epoch 11 Batch 110/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.056
Epoch 11 Batch 111/312 - Train Accuracy: 0.955, Validation Accuracy: 0.969, Loss: 0.078
Epoch 11 Batch 112/312 - Train Accuracy: 0.960, Validation Accuracy: 0.969, Loss: 0.076
Epoch 11 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.059
Epoch 11 Batch 114/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.034
Epoch 11 Batch 115/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.082
Epoch 11 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.067
Epoch 11 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.048
Epoch 11 Batch 118/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 11 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.047
Epoch 11 Batch 120/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.037
Epoch 11 Batch 121/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.067
Epoch 11 Batch 122/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.053
Epoch 11 Batch 123/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.054
Epoch 11 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.059
Epoch 11 Batch 125/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.072
Epoch 11 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.057
Epoch 11 Batch 127/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.067
Epoch 11 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 11 Batch 129/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.094
Epoch 11 Batch 130/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 131/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.087
Epoch 11 Batch 132/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.085
Epoch 11 Batch 133/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.034
Epoch 11 Batch 134/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.070
Epoch 11 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.058
Epoch 11 Batch 136/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.077
Epoch 11 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 11 Batch 138/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.045
Epoch 11 Batch 139/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.080
Epoch 11 Batch 140/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.038
Epoch 11 Batch 141/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.075
Epoch 11 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 11 Batch 143/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.072
Epoch 11 Batch 144/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.076
Epoch 11 Batch 145/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.050
Epoch 11 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.042
Epoch 11 Batch 147/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.067
Epoch 11 Batch 148/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.059
Epoch 11 Batch 149/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.062
Epoch 11 Batch 150/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.060
Epoch 11 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.038
Epoch 11 Batch 152/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.086
Epoch 11 Batch 153/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.068
Epoch 11 Batch 154/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.036
Epoch 11 Batch 155/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 11 Batch 156/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 158/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.060
Epoch 11 Batch 159/312 - Train Accuracy: 0.915, Validation Accuracy: 0.978, Loss: 0.095
Epoch 11 Batch 160/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.075
Epoch 11 Batch 161/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.093
Epoch 11 Batch 162/312 - Train Accuracy: 0.969, Validation Accuracy: 0.969, Loss: 0.060
Epoch 11 Batch 163/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.062
Epoch 11 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.039
Epoch 11 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.041
Epoch 11 Batch 166/312 - Train Accuracy: 0.938, Validation Accuracy: 0.978, Loss: 0.108
Epoch 11 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.059
Epoch 11 Batch 168/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.053
Epoch 11 Batch 169/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.052
Epoch 11 Batch 170/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.053
Epoch 11 Batch 171/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.075
Epoch 11 Batch 172/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.053
Epoch 11 Batch 173/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.045
Epoch 11 Batch 174/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.055
Epoch 11 Batch 175/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.076
Epoch 11 Batch 176/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.072
Epoch 11 Batch 177/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.094
Epoch 11 Batch 178/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.074
Epoch 11 Batch 179/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.066
Epoch 11 Batch 180/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.050
Epoch 11 Batch 181/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.045
Epoch 11 Batch 182/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.053
Epoch 11 Batch 183/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.049
Epoch 11 Batch 185/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.051
Epoch 11 Batch 186/312 - Train Accuracy: 0.924, Validation Accuracy: 0.982, Loss: 0.073
Epoch 11 Batch 187/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.049
Epoch 11 Batch 188/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.074
Epoch 11 Batch 189/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.074
Epoch 11 Batch 190/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.067
Epoch 11 Batch 191/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.033
Epoch 11 Batch 192/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.056
Epoch 11 Batch 193/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.056
Epoch 11 Batch 194/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.079
Epoch 11 Batch 195/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.042
Epoch 11 Batch 196/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.047
Epoch 11 Batch 197/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.041
Epoch 11 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 11 Batch 199/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.078
Epoch 11 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 11 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.049
Epoch 11 Batch 202/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.068
Epoch 11 Batch 203/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.062
Epoch 11 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.049
Epoch 11 Batch 205/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.094
Epoch 11 Batch 206/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.064
Epoch 11 Batch 207/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.065
Epoch 11 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.039
Epoch 11 Batch 209/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.050
Epoch 11 Batch 210/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.044
Epoch 11 Batch 211/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.051
Epoch 11 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.033
Epoch 11 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.054
Epoch 11 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.075
Epoch 11 Batch 215/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.071
Epoch 11 Batch 216/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.050
Epoch 11 Batch 217/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.042
Epoch 11 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.951, Loss: 0.044
Epoch 11 Batch 219/312 - Train Accuracy: 0.987, Validation Accuracy: 0.955, Loss: 0.064
Epoch 11 Batch 220/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.054
Epoch 11 Batch 221/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.081
Epoch 11 Batch 222/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.060
Epoch 11 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.074
Epoch 11 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.077
Epoch 11 Batch 225/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.072
Epoch 11 Batch 226/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.050
Epoch 11 Batch 227/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.046
Epoch 11 Batch 228/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.081
Epoch 11 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.043
Epoch 11 Batch 230/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.067
Epoch 11 Batch 231/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.058
Epoch 11 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.074
Epoch 11 Batch 233/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.049
Epoch 11 Batch 234/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.067
Epoch 11 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.061
Epoch 11 Batch 236/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.076
Epoch 11 Batch 237/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.054
Epoch 11 Batch 238/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.078
Epoch 11 Batch 239/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.054
Epoch 11 Batch 240/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.069
Epoch 11 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.065
Epoch 11 Batch 242/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.085
Epoch 11 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 11 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.041
Epoch 11 Batch 245/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.038
Epoch 11 Batch 246/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.056
Epoch 11 Batch 247/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.076
Epoch 11 Batch 248/312 - Train Accuracy: 0.929, Validation Accuracy: 0.982, Loss: 0.118
Epoch 11 Batch 249/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.076
Epoch 11 Batch 250/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.047
Epoch 11 Batch 251/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.045
Epoch 11 Batch 252/312 - Train Accuracy: 0.951, Validation Accuracy: 0.969, Loss: 0.090
Epoch 11 Batch 253/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.065
Epoch 11 Batch 254/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.084
Epoch 11 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 11 Batch 256/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.067
Epoch 11 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 11 Batch 258/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.067
Epoch 11 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 11 Batch 260/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.074
Epoch 11 Batch 261/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.048
Epoch 11 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 11 Batch 263/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.041
Epoch 11 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 11 Batch 265/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.065
Epoch 11 Batch 266/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.062
Epoch 11 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 11 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 11 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 11 Batch 270/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.041
Epoch 11 Batch 271/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.067
Epoch 11 Batch 272/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 11 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.042
Epoch 11 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 11 Batch 276/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.064
Epoch 11 Batch 277/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.038
Epoch 11 Batch 278/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.047
Epoch 11 Batch 279/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.068
Epoch 11 Batch 280/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 11 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.055
Epoch 11 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 11 Batch 283/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.064
Epoch 11 Batch 284/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.032
Epoch 11 Batch 285/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.067
Epoch 11 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.061
Epoch 11 Batch 287/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.038
Epoch 11 Batch 288/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.040
Epoch 11 Batch 289/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.058
Epoch 11 Batch 290/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.037
Epoch 11 Batch 291/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.063
Epoch 11 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.052
Epoch 11 Batch 293/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.046
Epoch 11 Batch 294/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.047
Epoch 11 Batch 295/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.060
Epoch 11 Batch 296/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.075
Epoch 11 Batch 297/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.061
Epoch 11 Batch 298/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.041
Epoch 11 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.046
Epoch 11 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 11 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.051
Epoch 11 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.049
Epoch 11 Batch 303/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.059
Epoch 11 Batch 304/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.050
Epoch 11 Batch 305/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.052
Epoch 11 Batch 306/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.048
Epoch 11 Batch 307/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.054
Epoch 11 Batch 308/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.053
Epoch 11 Batch 309/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.040
Epoch 11 Batch 310/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.065
Epoch 12 Batch 0/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.053
Epoch 12 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.032
Epoch 12 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 12 Batch 4/312 - Train Accuracy: 0.969, Validation Accuracy: 0.991, Loss: 0.077
Epoch 12 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.033
Epoch 12 Batch 6/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.058
Epoch 12 Batch 7/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.046
Epoch 12 Batch 8/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.041
Epoch 12 Batch 9/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.053
Epoch 12 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.037
Epoch 12 Batch 11/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 12/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.040
Epoch 12 Batch 13/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.080
Epoch 12 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 12 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.038
Epoch 12 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.035
Epoch 12 Batch 17/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 12 Batch 19/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.051
Epoch 12 Batch 20/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.036
Epoch 12 Batch 21/312 - Train Accuracy: 0.951, Validation Accuracy: 0.978, Loss: 0.060
Epoch 12 Batch 22/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.029
Epoch 12 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.032
Epoch 12 Batch 24/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.043
Epoch 12 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.047
Epoch 12 Batch 26/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.047
Epoch 12 Batch 27/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.045
Epoch 12 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.046
Epoch 12 Batch 29/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.054
Epoch 12 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.042
Epoch 12 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.031
Epoch 12 Batch 32/312 - Train Accuracy: 0.946, Validation Accuracy: 0.991, Loss: 0.083
Epoch 12 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 12 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.050
Epoch 12 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 12 Batch 36/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.041
Epoch 12 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.042
Epoch 12 Batch 38/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.066
Epoch 12 Batch 39/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.047
Epoch 12 Batch 40/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.043
Epoch 12 Batch 41/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.089
Epoch 12 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.028
Epoch 12 Batch 43/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.065
Epoch 12 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.041
Epoch 12 Batch 45/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.070
Epoch 12 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.048
Epoch 12 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 12 Batch 48/312 - Train Accuracy: 0.946, Validation Accuracy: 0.982, Loss: 0.052
Epoch 12 Batch 49/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.081
Epoch 12 Batch 50/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.063
Epoch 12 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.039
Epoch 12 Batch 52/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.085
Epoch 12 Batch 53/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.053
Epoch 12 Batch 54/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.039
Epoch 12 Batch 55/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.058
Epoch 12 Batch 56/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 57/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 12 Batch 60/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.033
Epoch 12 Batch 61/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.068
Epoch 12 Batch 62/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.047
Epoch 12 Batch 63/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.067
Epoch 12 Batch 64/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.059
Epoch 12 Batch 65/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.081
Epoch 12 Batch 66/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 67/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.065
Epoch 12 Batch 68/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 12 Batch 70/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.050
Epoch 12 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.038
Epoch 12 Batch 72/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.058
Epoch 12 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.029
Epoch 12 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 12 Batch 75/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.066
Epoch 12 Batch 76/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.048
Epoch 12 Batch 77/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.050
Epoch 12 Batch 78/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.067
Epoch 12 Batch 79/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.065
Epoch 12 Batch 80/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.034
Epoch 12 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 82/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.034
Epoch 12 Batch 83/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.044
Epoch 12 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 12 Batch 85/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.038
Epoch 12 Batch 86/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.040
Epoch 12 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 88/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.035
Epoch 12 Batch 89/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.063
Epoch 12 Batch 90/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.075
Epoch 12 Batch 91/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.043
Epoch 12 Batch 92/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.065
Epoch 12 Batch 93/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.049
Epoch 12 Batch 94/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.058
Epoch 12 Batch 95/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.028
Epoch 12 Batch 96/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.049
Epoch 12 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 12 Batch 98/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.038
Epoch 12 Batch 99/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.042
Epoch 12 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 12 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.033
Epoch 12 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.037
Epoch 12 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.026
Epoch 12 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.058
Epoch 12 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.057
Epoch 12 Batch 107/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.074
Epoch 12 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 12 Batch 109/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.062
Epoch 12 Batch 110/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 111/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.058
Epoch 12 Batch 112/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.060
Epoch 12 Batch 113/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.047
Epoch 12 Batch 114/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.035
Epoch 12 Batch 115/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.065
Epoch 12 Batch 116/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.051
Epoch 12 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 12 Batch 118/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.034
Epoch 12 Batch 119/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.040
Epoch 12 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.032
Epoch 12 Batch 121/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.050
Epoch 12 Batch 122/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.040
Epoch 12 Batch 123/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.042
Epoch 12 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.045
Epoch 12 Batch 125/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.052
Epoch 12 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.046
Epoch 12 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 12 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 12 Batch 129/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.071
Epoch 12 Batch 130/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.035
Epoch 12 Batch 131/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.061
Epoch 12 Batch 132/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.060
Epoch 12 Batch 133/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.031
Epoch 12 Batch 134/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.058
Epoch 12 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 12 Batch 136/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.064
Epoch 12 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 12 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 12 Batch 139/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.068
Epoch 12 Batch 140/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.034
Epoch 12 Batch 141/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.061
Epoch 12 Batch 142/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.028
Epoch 12 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.089
Epoch 12 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.061
Epoch 12 Batch 145/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.060
Epoch 12 Batch 146/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.050
Epoch 12 Batch 147/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.085
Epoch 12 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.054
Epoch 12 Batch 149/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.053
Epoch 12 Batch 150/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.053
Epoch 12 Batch 151/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.047
Epoch 12 Batch 152/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.101
Epoch 12 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.072
Epoch 12 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.028
Epoch 12 Batch 155/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.061
Epoch 12 Batch 156/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.087
Epoch 12 Batch 157/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.048
Epoch 12 Batch 158/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.063
Epoch 12 Batch 159/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.068
Epoch 12 Batch 160/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.068
Epoch 12 Batch 161/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.078
Epoch 12 Batch 162/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.054
Epoch 12 Batch 163/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.066
Epoch 12 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 12 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 12 Batch 166/312 - Train Accuracy: 0.938, Validation Accuracy: 0.982, Loss: 0.105
Epoch 12 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.064
Epoch 12 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.046
Epoch 12 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.040
Epoch 12 Batch 170/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.053
Epoch 12 Batch 171/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.069
Epoch 12 Batch 172/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.052
Epoch 12 Batch 173/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.046
Epoch 12 Batch 174/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.051
Epoch 12 Batch 175/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.058
Epoch 12 Batch 176/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.062
Epoch 12 Batch 177/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.087
Epoch 12 Batch 178/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.082
Epoch 12 Batch 179/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.063
Epoch 12 Batch 180/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.042
Epoch 12 Batch 181/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.036
Epoch 12 Batch 182/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.044
Epoch 12 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.055
Epoch 12 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.038
Epoch 12 Batch 185/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.045
Epoch 12 Batch 186/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.060
Epoch 12 Batch 187/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 188/312 - Train Accuracy: 0.942, Validation Accuracy: 0.982, Loss: 0.082
Epoch 12 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.068
Epoch 12 Batch 190/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.057
Epoch 12 Batch 191/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.038
Epoch 12 Batch 192/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.058
Epoch 12 Batch 193/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.059
Epoch 12 Batch 194/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.078
Epoch 12 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.033
Epoch 12 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.036
Epoch 12 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.046
Epoch 12 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.035
Epoch 12 Batch 199/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.075
Epoch 12 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.032
Epoch 12 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 12 Batch 202/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.055
Epoch 12 Batch 203/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.056
Epoch 12 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.046
Epoch 12 Batch 205/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.096
Epoch 12 Batch 206/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.053
Epoch 12 Batch 207/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.046
Epoch 12 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.033
Epoch 12 Batch 209/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.059
Epoch 12 Batch 210/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.040
Epoch 12 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 12 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.041
Epoch 12 Batch 214/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.061
Epoch 12 Batch 215/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.056
Epoch 12 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.035
Epoch 12 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.035
Epoch 12 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.037
Epoch 12 Batch 219/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.049
Epoch 12 Batch 220/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.033
Epoch 12 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.052
Epoch 12 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.051
Epoch 12 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.058
Epoch 12 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 226/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.039
Epoch 12 Batch 227/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.043
Epoch 12 Batch 228/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.075
Epoch 12 Batch 229/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.044
Epoch 12 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.054
Epoch 12 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.034
Epoch 12 Batch 232/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.054
Epoch 12 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 12 Batch 234/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.038
Epoch 12 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.044
Epoch 12 Batch 236/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.063
Epoch 12 Batch 237/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 238/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.056
Epoch 12 Batch 239/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.040
Epoch 12 Batch 240/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.053
Epoch 12 Batch 241/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.055
Epoch 12 Batch 242/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.070
Epoch 12 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 12 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 12 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 12 Batch 246/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.040
Epoch 12 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 12 Batch 248/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.070
Epoch 12 Batch 249/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.066
Epoch 12 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 12 Batch 251/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.033
Epoch 12 Batch 252/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.055
Epoch 12 Batch 253/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.042
Epoch 12 Batch 254/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.063
Epoch 12 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.039
Epoch 12 Batch 256/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.040
Epoch 12 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 12 Batch 258/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.050
Epoch 12 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 12 Batch 260/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.063
Epoch 12 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 12 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 12 Batch 263/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.032
Epoch 12 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 12 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 12 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 12 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 12 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 12 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 12 Batch 270/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.031
Epoch 12 Batch 271/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 12 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.033
Epoch 12 Batch 275/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.028
Epoch 12 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.053
Epoch 12 Batch 277/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 12 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 12 Batch 279/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.053
Epoch 12 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 12 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 12 Batch 283/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.051
Epoch 12 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 12 Batch 285/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.055
Epoch 12 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.032
Epoch 12 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 12 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.049
Epoch 12 Batch 290/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.026
Epoch 12 Batch 291/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.049
Epoch 12 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 12 Batch 293/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.038
Epoch 12 Batch 294/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.038
Epoch 12 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 296/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.062
Epoch 12 Batch 297/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.047
Epoch 12 Batch 298/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.032
Epoch 12 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.043
Epoch 12 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.020
Epoch 12 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.040
Epoch 12 Batch 302/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.043
Epoch 12 Batch 303/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.042
Epoch 12 Batch 304/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.044
Epoch 12 Batch 305/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.042
Epoch 12 Batch 306/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 12 Batch 307/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.046
Epoch 12 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.039
Epoch 12 Batch 309/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.034
Epoch 12 Batch 310/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.049
Epoch 13 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.037
Epoch 13 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 13 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.055
Epoch 13 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 13 Batch 4/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.064
Epoch 13 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 6/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.049
Epoch 13 Batch 7/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.040
Epoch 13 Batch 8/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.033
Epoch 13 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.054
Epoch 13 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 11/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 12/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 13/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.076
Epoch 13 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.031
Epoch 13 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 13 Batch 17/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.037
Epoch 13 Batch 18/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.032
Epoch 13 Batch 19/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.047
Epoch 13 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.031
Epoch 13 Batch 21/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.048
Epoch 13 Batch 22/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.022
Epoch 13 Batch 23/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.031
Epoch 13 Batch 24/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.040
Epoch 13 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 13 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.043
Epoch 13 Batch 27/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.040
Epoch 13 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.038
Epoch 13 Batch 29/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.055
Epoch 13 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.038
Epoch 13 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.028
Epoch 13 Batch 32/312 - Train Accuracy: 0.942, Validation Accuracy: 0.987, Loss: 0.075
Epoch 13 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 13 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.045
Epoch 13 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 13 Batch 36/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.037
Epoch 13 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.041
Epoch 13 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.055
Epoch 13 Batch 39/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 13 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.032
Epoch 13 Batch 41/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.071
Epoch 13 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.025
Epoch 13 Batch 43/312 - Train Accuracy: 0.951, Validation Accuracy: 0.982, Loss: 0.052
Epoch 13 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.034
Epoch 13 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.049
Epoch 13 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 13 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.031
Epoch 13 Batch 48/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.043
Epoch 13 Batch 49/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.064
Epoch 13 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 51/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 52/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.054
Epoch 13 Batch 53/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 54/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.032
Epoch 13 Batch 55/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 13 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 13 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 13 Batch 60/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.022
Epoch 13 Batch 61/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.040
Epoch 13 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 63/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.052
Epoch 13 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 65/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.060
Epoch 13 Batch 66/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 67/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.035
Epoch 13 Batch 68/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.033
Epoch 13 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 70/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 71/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 72/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 13 Batch 74/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.030
Epoch 13 Batch 75/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.049
Epoch 13 Batch 76/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.034
Epoch 13 Batch 77/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.044
Epoch 13 Batch 78/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.043
Epoch 13 Batch 79/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.043
Epoch 13 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.031
Epoch 13 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 13 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 13 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 13 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 13 Batch 86/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.036
Epoch 13 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 88/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 89/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.048
Epoch 13 Batch 90/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.059
Epoch 13 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.035
Epoch 13 Batch 92/312 - Train Accuracy: 0.960, Validation Accuracy: 0.978, Loss: 0.048
Epoch 13 Batch 93/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.037
Epoch 13 Batch 94/312 - Train Accuracy: 0.964, Validation Accuracy: 0.978, Loss: 0.048
Epoch 13 Batch 95/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.022
Epoch 13 Batch 96/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.043
Epoch 13 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 13 Batch 98/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.032
Epoch 13 Batch 99/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.035
Epoch 13 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 13 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 13 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 13 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 13 Batch 106/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 107/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.052
Epoch 13 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.024
Epoch 13 Batch 109/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.049
Epoch 13 Batch 110/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.034
Epoch 13 Batch 111/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.063
Epoch 13 Batch 112/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.054
Epoch 13 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 13 Batch 115/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.054
Epoch 13 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.061
Epoch 13 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.038
Epoch 13 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.033
Epoch 13 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.027
Epoch 13 Batch 121/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.057
Epoch 13 Batch 122/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.035
Epoch 13 Batch 123/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.039
Epoch 13 Batch 124/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.043
Epoch 13 Batch 125/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.044
Epoch 13 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.047
Epoch 13 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 13 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 129/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.065
Epoch 13 Batch 130/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.031
Epoch 13 Batch 131/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.048
Epoch 13 Batch 132/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.051
Epoch 13 Batch 133/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.025
Epoch 13 Batch 134/312 - Train Accuracy: 0.946, Validation Accuracy: 0.987, Loss: 0.055
Epoch 13 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.035
Epoch 13 Batch 136/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.063
Epoch 13 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.025
Epoch 13 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 13 Batch 139/312 - Train Accuracy: 0.946, Validation Accuracy: 0.991, Loss: 0.062
Epoch 13 Batch 140/312 - Train Accuracy: 0.973, Validation Accuracy: 0.991, Loss: 0.026
Epoch 13 Batch 141/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.062
Epoch 13 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.023
Epoch 13 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.055
Epoch 13 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.053
Epoch 13 Batch 145/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 13 Batch 147/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.056
Epoch 13 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.054
Epoch 13 Batch 149/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.044
Epoch 13 Batch 150/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.043
Epoch 13 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.027
Epoch 13 Batch 152/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.068
Epoch 13 Batch 153/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 13 Batch 155/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.033
Epoch 13 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 13 Batch 158/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.048
Epoch 13 Batch 159/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.054
Epoch 13 Batch 160/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.061
Epoch 13 Batch 161/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.053
Epoch 13 Batch 162/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.050
Epoch 13 Batch 163/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.071
Epoch 13 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 13 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 13 Batch 166/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.064
Epoch 13 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 13 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 13 Batch 169/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 170/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.037
Epoch 13 Batch 171/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.047
Epoch 13 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 173/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.034
Epoch 13 Batch 174/312 - Train Accuracy: 0.964, Validation Accuracy: 0.991, Loss: 0.045
Epoch 13 Batch 175/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.055
Epoch 13 Batch 176/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.059
Epoch 13 Batch 177/312 - Train Accuracy: 0.960, Validation Accuracy: 0.973, Loss: 0.066
Epoch 13 Batch 178/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.060
Epoch 13 Batch 179/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.046
Epoch 13 Batch 180/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.040
Epoch 13 Batch 181/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.043
Epoch 13 Batch 182/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 13 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.046
Epoch 13 Batch 184/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.052
Epoch 13 Batch 185/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 186/312 - Train Accuracy: 0.942, Validation Accuracy: 0.991, Loss: 0.057
Epoch 13 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.034
Epoch 13 Batch 188/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.068
Epoch 13 Batch 189/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.055
Epoch 13 Batch 190/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.042
Epoch 13 Batch 191/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.037
Epoch 13 Batch 192/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 193/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.046
Epoch 13 Batch 194/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.054
Epoch 13 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 13 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 13 Batch 197/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.031
Epoch 13 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 199/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.070
Epoch 13 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 13 Batch 202/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.048
Epoch 13 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 13 Batch 205/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.072
Epoch 13 Batch 206/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.039
Epoch 13 Batch 207/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.038
Epoch 13 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 13 Batch 209/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.038
Epoch 13 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.030
Epoch 13 Batch 211/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 13 Batch 214/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.045
Epoch 13 Batch 215/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.047
Epoch 13 Batch 216/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 13 Batch 219/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 220/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 13 Batch 221/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.040
Epoch 13 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 13 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 13 Batch 226/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.028
Epoch 13 Batch 227/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.036
Epoch 13 Batch 228/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.058
Epoch 13 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 13 Batch 230/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.043
Epoch 13 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.025
Epoch 13 Batch 232/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.040
Epoch 13 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.029
Epoch 13 Batch 234/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.033
Epoch 13 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 13 Batch 236/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 237/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 238/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.046
Epoch 13 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 13 Batch 240/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 241/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 242/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.054
Epoch 13 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 13 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.021
Epoch 13 Batch 246/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.032
Epoch 13 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 13 Batch 248/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.063
Epoch 13 Batch 249/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.049
Epoch 13 Batch 250/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.032
Epoch 13 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 13 Batch 252/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 253/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 254/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.047
Epoch 13 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 13 Batch 256/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.036
Epoch 13 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 13 Batch 258/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.042
Epoch 13 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 13 Batch 260/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.051
Epoch 13 Batch 261/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.033
Epoch 13 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 13 Batch 263/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.028
Epoch 13 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 13 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 13 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.028
Epoch 13 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.022
Epoch 13 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.028
Epoch 13 Batch 270/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.024
Epoch 13 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.036
Epoch 13 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.034
Epoch 13 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 13 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.027
Epoch 13 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 13 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.042
Epoch 13 Batch 277/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.030
Epoch 13 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 13 Batch 279/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.046
Epoch 13 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 13 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 13 Batch 283/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 13 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 13 Batch 285/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.044
Epoch 13 Batch 286/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.047
Epoch 13 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 13 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 13 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 13 Batch 290/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.022
Epoch 13 Batch 291/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 293/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.034
Epoch 13 Batch 294/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.032
Epoch 13 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.041
Epoch 13 Batch 296/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.050
Epoch 13 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.038
Epoch 13 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 13 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.032
Epoch 13 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 13 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.032
Epoch 13 Batch 302/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.036
Epoch 13 Batch 303/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.039
Epoch 13 Batch 304/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.032
Epoch 13 Batch 305/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.037
Epoch 13 Batch 306/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.031
Epoch 13 Batch 307/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.046
Epoch 13 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 13 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 13 Batch 310/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.040
Epoch 14 Batch 0/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.030
Epoch 14 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.022
Epoch 14 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.047
Epoch 14 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 4/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.057
Epoch 14 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 14 Batch 7/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.035
Epoch 14 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.027
Epoch 14 Batch 9/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.037
Epoch 14 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.022
Epoch 14 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.032
Epoch 14 Batch 12/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.025
Epoch 14 Batch 13/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.056
Epoch 14 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 14 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 14 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 14 Batch 17/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 14 Batch 19/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.036
Epoch 14 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 14 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.042
Epoch 14 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 14 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.020
Epoch 14 Batch 24/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.031
Epoch 14 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.030
Epoch 14 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.028
Epoch 14 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.029
Epoch 14 Batch 29/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.044
Epoch 14 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.029
Epoch 14 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.023
Epoch 14 Batch 32/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.060
Epoch 14 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 14 Batch 34/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 14 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 14 Batch 36/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 14 Batch 37/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.033
Epoch 14 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.045
Epoch 14 Batch 39/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 14 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.050
Epoch 14 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 43/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.042
Epoch 14 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 14 Batch 45/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 14 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 14 Batch 48/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.037
Epoch 14 Batch 49/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.057
Epoch 14 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 14 Batch 51/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 52/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.043
Epoch 14 Batch 53/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.032
Epoch 14 Batch 54/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.027
Epoch 14 Batch 55/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.032
Epoch 14 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 57/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.032
Epoch 14 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 14 Batch 60/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 14 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 14 Batch 62/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.041
Epoch 14 Batch 63/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.045
Epoch 14 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 65/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.046
Epoch 14 Batch 66/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 67/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 14 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 14 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 14 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 72/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 14 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 75/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 76/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 14 Batch 78/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.034
Epoch 14 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.037
Epoch 14 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 14 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.020
Epoch 14 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 14 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 14 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 14 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 14 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 14 Batch 89/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.039
Epoch 14 Batch 90/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.051
Epoch 14 Batch 91/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 92/312 - Train Accuracy: 0.960, Validation Accuracy: 0.991, Loss: 0.046
Epoch 14 Batch 93/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.026
Epoch 14 Batch 94/312 - Train Accuracy: 0.964, Validation Accuracy: 0.991, Loss: 0.042
Epoch 14 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 14 Batch 96/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.030
Epoch 14 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 14 Batch 98/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.029
Epoch 14 Batch 99/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.029
Epoch 14 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 14 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 14 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 14 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.026
Epoch 14 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 14 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.039
Epoch 14 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.046
Epoch 14 Batch 107/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.058
Epoch 14 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.018
Epoch 14 Batch 109/312 - Train Accuracy: 0.982, Validation Accuracy: 0.960, Loss: 0.051
Epoch 14 Batch 110/312 - Train Accuracy: 0.996, Validation Accuracy: 0.964, Loss: 0.035
Epoch 14 Batch 111/312 - Train Accuracy: 0.969, Validation Accuracy: 0.964, Loss: 0.064
Epoch 14 Batch 112/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.045
Epoch 14 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 14 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.021
Epoch 14 Batch 115/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.049
Epoch 14 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.038
Epoch 14 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.027
Epoch 14 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.036
Epoch 14 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.028
Epoch 14 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.024
Epoch 14 Batch 121/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.042
Epoch 14 Batch 122/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.035
Epoch 14 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.029
Epoch 14 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.030
Epoch 14 Batch 125/312 - Train Accuracy: 0.982, Validation Accuracy: 0.960, Loss: 0.040
Epoch 14 Batch 126/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.041
Epoch 14 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.031
Epoch 14 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.017
Epoch 14 Batch 129/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.060
Epoch 14 Batch 130/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.026
Epoch 14 Batch 131/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.048
Epoch 14 Batch 132/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.044
Epoch 14 Batch 133/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.051
Epoch 14 Batch 134/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.042
Epoch 14 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.036
Epoch 14 Batch 136/312 - Train Accuracy: 0.982, Validation Accuracy: 0.964, Loss: 0.060
Epoch 14 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.033
Epoch 14 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 14 Batch 139/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.045
Epoch 14 Batch 140/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.032
Epoch 14 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.054
Epoch 14 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.027
Epoch 14 Batch 143/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.059
Epoch 14 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.057
Epoch 14 Batch 145/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.035
Epoch 14 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.030
Epoch 14 Batch 147/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.074
Epoch 14 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.049
Epoch 14 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 14 Batch 150/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.038
Epoch 14 Batch 151/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.036
Epoch 14 Batch 152/312 - Train Accuracy: 0.973, Validation Accuracy: 0.973, Loss: 0.078
Epoch 14 Batch 153/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.059
Epoch 14 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.043
Epoch 14 Batch 155/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 14 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.027
Epoch 14 Batch 158/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.037
Epoch 14 Batch 159/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.069
Epoch 14 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.062
Epoch 14 Batch 161/312 - Train Accuracy: 0.964, Validation Accuracy: 0.973, Loss: 0.062
Epoch 14 Batch 162/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.049
Epoch 14 Batch 163/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.050
Epoch 14 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.960, Loss: 0.032
Epoch 14 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.025
Epoch 14 Batch 166/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.058
Epoch 14 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.034
Epoch 14 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.040
Epoch 14 Batch 169/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.040
Epoch 14 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 14 Batch 171/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.042
Epoch 14 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 173/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.060
Epoch 14 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 175/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.051
Epoch 14 Batch 176/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.062
Epoch 14 Batch 177/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.070
Epoch 14 Batch 178/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.065
Epoch 14 Batch 179/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.064
Epoch 14 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 14 Batch 181/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 182/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.037
Epoch 14 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.056
Epoch 14 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 14 Batch 185/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.036
Epoch 14 Batch 186/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.043
Epoch 14 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 14 Batch 188/312 - Train Accuracy: 0.955, Validation Accuracy: 0.973, Loss: 0.044
Epoch 14 Batch 189/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.042
Epoch 14 Batch 190/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.040
Epoch 14 Batch 191/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.033
Epoch 14 Batch 192/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.049
Epoch 14 Batch 193/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.055
Epoch 14 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 14 Batch 195/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.024
Epoch 14 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.027
Epoch 14 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.031
Epoch 14 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.043
Epoch 14 Batch 199/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.070
Epoch 14 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 14 Batch 202/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 14 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 14 Batch 205/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.080
Epoch 14 Batch 206/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.047
Epoch 14 Batch 207/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 208/312 - Train Accuracy: 0.991, Validation Accuracy: 0.996, Loss: 0.021
Epoch 14 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.043
Epoch 14 Batch 210/312 - Train Accuracy: 0.987, Validation Accuracy: 0.996, Loss: 0.024
Epoch 14 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.026
Epoch 14 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.020
Epoch 14 Batch 213/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.038
Epoch 14 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.036
Epoch 14 Batch 215/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.045
Epoch 14 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 219/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 14 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 14 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.041
Epoch 14 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.033
Epoch 14 Batch 223/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.035
Epoch 14 Batch 224/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.044
Epoch 14 Batch 225/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.051
Epoch 14 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 14 Batch 227/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 228/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.052
Epoch 14 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 232/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.039
Epoch 14 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 234/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 14 Batch 236/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 237/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.034
Epoch 14 Batch 238/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.036
Epoch 14 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 240/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.044
Epoch 14 Batch 241/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.034
Epoch 14 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 14 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 14 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 14 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 14 Batch 246/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 14 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.030
Epoch 14 Batch 248/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.052
Epoch 14 Batch 249/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.041
Epoch 14 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 14 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 14 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 14 Batch 253/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.028
Epoch 14 Batch 254/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.055
Epoch 14 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 14 Batch 256/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.030
Epoch 14 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.033
Epoch 14 Batch 258/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.035
Epoch 14 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 14 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.038
Epoch 14 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 14 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 14 Batch 263/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.025
Epoch 14 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 14 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.028
Epoch 14 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.029
Epoch 14 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 14 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 14 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 14 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 14 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.029
Epoch 14 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 14 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.026
Epoch 14 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 14 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.044
Epoch 14 Batch 277/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.021
Epoch 14 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 14 Batch 279/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.041
Epoch 14 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 14 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 14 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 14 Batch 283/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.037
Epoch 14 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 14 Batch 285/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.038
Epoch 14 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.037
Epoch 14 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.027
Epoch 14 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.035
Epoch 14 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 14 Batch 290/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.019
Epoch 14 Batch 291/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.034
Epoch 14 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 14 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.034
Epoch 14 Batch 294/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.023
Epoch 14 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 14 Batch 296/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.052
Epoch 14 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.042
Epoch 14 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.023
Epoch 14 Batch 299/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.029
Epoch 14 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.014
Epoch 14 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.051
Epoch 14 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.031
Epoch 14 Batch 303/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.028
Epoch 14 Batch 304/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.034
Epoch 14 Batch 305/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.051
Epoch 14 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.025
Epoch 14 Batch 307/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.059
Epoch 14 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 14 Batch 309/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.036
Epoch 14 Batch 310/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.054
Epoch 15 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 15 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 15 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.048
Epoch 15 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 15 Batch 4/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.063
Epoch 15 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 15 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.054
Epoch 15 Batch 7/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.028
Epoch 15 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 15 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.028
Epoch 15 Batch 10/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.026
Epoch 15 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.033
Epoch 15 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 15 Batch 13/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.047
Epoch 15 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 15 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 15 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 15 Batch 17/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.040
Epoch 15 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 15 Batch 19/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.033
Epoch 15 Batch 20/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.024
Epoch 15 Batch 21/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.046
Epoch 15 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 15 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.020
Epoch 15 Batch 24/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.068
Epoch 15 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.028
Epoch 15 Batch 26/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.032
Epoch 15 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.045
Epoch 15 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.031
Epoch 15 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 15 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.021
Epoch 15 Batch 32/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.046
Epoch 15 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 15 Batch 34/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.037
Epoch 15 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.021
Epoch 15 Batch 36/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.029
Epoch 15 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.043
Epoch 15 Batch 39/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.033
Epoch 15 Batch 40/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.027
Epoch 15 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.049
Epoch 15 Batch 42/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.025
Epoch 15 Batch 43/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.039
Epoch 15 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 15 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 15 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 15 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 48/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 49/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.061
Epoch 15 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 15 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 52/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.048
Epoch 15 Batch 53/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.032
Epoch 15 Batch 54/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.031
Epoch 15 Batch 55/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.033
Epoch 15 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 15 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.023
Epoch 15 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 15 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 15 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 15 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.036
Epoch 15 Batch 63/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.039
Epoch 15 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 15 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.056
Epoch 15 Batch 66/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.030
Epoch 15 Batch 67/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.028
Epoch 15 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 15 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.043
Epoch 15 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 15 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 15 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 15 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 15 Batch 75/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.043
Epoch 15 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.020
Epoch 15 Batch 77/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.036
Epoch 15 Batch 78/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.039
Epoch 15 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 80/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.030
Epoch 15 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.030
Epoch 15 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.018
Epoch 15 Batch 83/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.036
Epoch 15 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 15 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.021
Epoch 15 Batch 86/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.026
Epoch 15 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.024
Epoch 15 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 15 Batch 89/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.033
Epoch 15 Batch 90/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.051
Epoch 15 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.031
Epoch 15 Batch 92/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.046
Epoch 15 Batch 93/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 15 Batch 94/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 15 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 15 Batch 96/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.023
Epoch 15 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.022
Epoch 15 Batch 98/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.023
Epoch 15 Batch 99/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.027
Epoch 15 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.022
Epoch 15 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.023
Epoch 15 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.019
Epoch 15 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.026
Epoch 15 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 15 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 15 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.038
Epoch 15 Batch 107/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 15 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 15 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 15 Batch 110/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.021
Epoch 15 Batch 111/312 - Train Accuracy: 0.969, Validation Accuracy: 0.973, Loss: 0.044
Epoch 15 Batch 112/312 - Train Accuracy: 0.973, Validation Accuracy: 0.969, Loss: 0.036
Epoch 15 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.024
Epoch 15 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.021
Epoch 15 Batch 115/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.042
Epoch 15 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.028
Epoch 15 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.015
Epoch 15 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.023
Epoch 15 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.024
Epoch 15 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 15 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 15 Batch 122/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.022
Epoch 15 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.028
Epoch 15 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 15 Batch 125/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.029
Epoch 15 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 15 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 15 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 15 Batch 129/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.053
Epoch 15 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 15 Batch 131/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.037
Epoch 15 Batch 132/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.031
Epoch 15 Batch 133/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.017
Epoch 15 Batch 134/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 15 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 15 Batch 136/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.037
Epoch 15 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 15 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 15 Batch 139/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 15 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 15 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 15 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.018
Epoch 15 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 15 Batch 144/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.039
Epoch 15 Batch 145/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 15 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 15 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 15 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 15 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 15 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 15 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 15 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 15 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 15 Batch 155/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 15 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 15 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 15 Batch 158/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.028
Epoch 15 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.033
Epoch 15 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.038
Epoch 15 Batch 161/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.043
Epoch 15 Batch 162/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.032
Epoch 15 Batch 163/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.034
Epoch 15 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.014
Epoch 15 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.016
Epoch 15 Batch 166/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.042
Epoch 15 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.034
Epoch 15 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.043
Epoch 15 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 15 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.022
Epoch 15 Batch 171/312 - Train Accuracy: 0.973, Validation Accuracy: 0.978, Loss: 0.033
Epoch 15 Batch 172/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.033
Epoch 15 Batch 173/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.032
Epoch 15 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.025
Epoch 15 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.051
Epoch 15 Batch 176/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.047
Epoch 15 Batch 177/312 - Train Accuracy: 0.951, Validation Accuracy: 0.987, Loss: 0.056
Epoch 15 Batch 178/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.050
Epoch 15 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.028
Epoch 15 Batch 180/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.066
Epoch 15 Batch 181/312 - Train Accuracy: 0.991, Validation Accuracy: 0.969, Loss: 0.027
Epoch 15 Batch 182/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.025
Epoch 15 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.040
Epoch 15 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 15 Batch 185/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.029
Epoch 15 Batch 186/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.050
Epoch 15 Batch 187/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.025
Epoch 15 Batch 188/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.042
Epoch 15 Batch 189/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.055
Epoch 15 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 15 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 15 Batch 192/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 15 Batch 193/312 - Train Accuracy: 0.964, Validation Accuracy: 0.982, Loss: 0.042
Epoch 15 Batch 194/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.036
Epoch 15 Batch 195/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.030
Epoch 15 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 15 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.022
Epoch 15 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 15 Batch 199/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.045
Epoch 15 Batch 200/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.015
Epoch 15 Batch 201/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.035
Epoch 15 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.068
Epoch 15 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.042
Epoch 15 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 15 Batch 205/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.053
Epoch 15 Batch 206/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.049
Epoch 15 Batch 207/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.043
Epoch 15 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.018
Epoch 15 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.037
Epoch 15 Batch 210/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.020
Epoch 15 Batch 211/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.031
Epoch 15 Batch 212/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.040
Epoch 15 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.045
Epoch 15 Batch 214/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.052
Epoch 15 Batch 215/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.040
Epoch 15 Batch 216/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.019
Epoch 15 Batch 217/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.025
Epoch 15 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.036
Epoch 15 Batch 219/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.060
Epoch 15 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.049
Epoch 15 Batch 222/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.030
Epoch 15 Batch 223/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.045
Epoch 15 Batch 224/312 - Train Accuracy: 0.942, Validation Accuracy: 0.978, Loss: 0.084
Epoch 15 Batch 225/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.046
Epoch 15 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 15 Batch 227/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.036
Epoch 15 Batch 228/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.047
Epoch 15 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.020
Epoch 15 Batch 230/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.040
Epoch 15 Batch 231/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.068
Epoch 15 Batch 232/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.050
Epoch 15 Batch 233/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.026
Epoch 15 Batch 234/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.067
Epoch 15 Batch 235/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.037
Epoch 15 Batch 236/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.058
Epoch 15 Batch 237/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 238/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.037
Epoch 15 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 15 Batch 240/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.035
Epoch 15 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 15 Batch 242/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.063
Epoch 15 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 15 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 15 Batch 245/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.039
Epoch 15 Batch 246/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.046
Epoch 15 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.051
Epoch 15 Batch 248/312 - Train Accuracy: 0.960, Validation Accuracy: 0.960, Loss: 0.050
Epoch 15 Batch 249/312 - Train Accuracy: 0.991, Validation Accuracy: 0.960, Loss: 0.046
Epoch 15 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 0.955, Loss: 0.031
Epoch 15 Batch 251/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.041
Epoch 15 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.037
Epoch 15 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.041
Epoch 15 Batch 254/312 - Train Accuracy: 0.964, Validation Accuracy: 0.964, Loss: 0.067
Epoch 15 Batch 255/312 - Train Accuracy: 0.996, Validation Accuracy: 0.969, Loss: 0.044
Epoch 15 Batch 256/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.047
Epoch 15 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.035
Epoch 15 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.039
Epoch 15 Batch 259/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.015
Epoch 15 Batch 260/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.061
Epoch 15 Batch 261/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.049
Epoch 15 Batch 262/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.036
Epoch 15 Batch 263/312 - Train Accuracy: 0.982, Validation Accuracy: 0.996, Loss: 0.040
Epoch 15 Batch 264/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.035
Epoch 15 Batch 265/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.040
Epoch 15 Batch 266/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.038
Epoch 15 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 15 Batch 268/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.017
Epoch 15 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 15 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.019
Epoch 15 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 15 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.027
Epoch 15 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.016
Epoch 15 Batch 274/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.018
Epoch 15 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.024
Epoch 15 Batch 276/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.068
Epoch 15 Batch 277/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.018
Epoch 15 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.040
Epoch 15 Batch 279/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.040
Epoch 15 Batch 280/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.020
Epoch 15 Batch 281/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.033
Epoch 15 Batch 282/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.025
Epoch 15 Batch 283/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.075
Epoch 15 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 15 Batch 285/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.041
Epoch 15 Batch 286/312 - Train Accuracy: 0.991, Validation Accuracy: 0.996, Loss: 0.047
Epoch 15 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 15 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 15 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.035
Epoch 15 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 15 Batch 291/312 - Train Accuracy: 0.982, Validation Accuracy: 0.969, Loss: 0.039
Epoch 15 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.029
Epoch 15 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.029
Epoch 15 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.023
Epoch 15 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.026
Epoch 15 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.048
Epoch 15 Batch 297/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.050
Epoch 15 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 15 Batch 299/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.028
Epoch 15 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 15 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.043
Epoch 15 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 15 Batch 303/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.032
Epoch 15 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 15 Batch 305/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.029
Epoch 15 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.031
Epoch 15 Batch 307/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.040
Epoch 15 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.035
Epoch 15 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.024
Epoch 15 Batch 310/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.030
Epoch 16 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.038
Epoch 16 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.025
Epoch 16 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.964, Loss: 0.043
Epoch 16 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.027
Epoch 16 Batch 4/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.048
Epoch 16 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 16 Batch 6/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 16 Batch 7/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 9/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.038
Epoch 16 Batch 10/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 11/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 12/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.026
Epoch 16 Batch 13/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.059
Epoch 16 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 17/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 19/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.038
Epoch 16 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 21/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.033
Epoch 16 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 24/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 25/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.035
Epoch 16 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 16 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 16 Batch 28/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.024
Epoch 16 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.033
Epoch 16 Batch 30/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.033
Epoch 16 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.031
Epoch 16 Batch 32/312 - Train Accuracy: 0.960, Validation Accuracy: 1.000, Loss: 0.059
Epoch 16 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 16 Batch 34/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 36/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.036
Epoch 16 Batch 39/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.040
Epoch 16 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.041
Epoch 16 Batch 42/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 43/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.036
Epoch 16 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.026
Epoch 16 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 16 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 16 Batch 48/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.031
Epoch 16 Batch 49/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.047
Epoch 16 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.026
Epoch 16 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 16 Batch 52/312 - Train Accuracy: 0.978, Validation Accuracy: 1.000, Loss: 0.047
Epoch 16 Batch 53/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.026
Epoch 16 Batch 54/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.025
Epoch 16 Batch 55/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.032
Epoch 16 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 16 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 63/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.026
Epoch 16 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 16 Batch 66/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 16 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 16 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 16 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 16 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 16 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 16 Batch 75/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 78/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.026
Epoch 16 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 89/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.035
Epoch 16 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 92/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.034
Epoch 16 Batch 93/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 94/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 16 Batch 96/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 98/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 99/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 16 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 107/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.036
Epoch 16 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 111/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.030
Epoch 16 Batch 112/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.029
Epoch 16 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.020
Epoch 16 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 115/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.032
Epoch 16 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 16 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 16 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 122/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 125/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.028
Epoch 16 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 16 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.021
Epoch 16 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.009
Epoch 16 Batch 129/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.054
Epoch 16 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 16 Batch 131/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.030
Epoch 16 Batch 132/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.028
Epoch 16 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 134/312 - Train Accuracy: 0.969, Validation Accuracy: 0.987, Loss: 0.036
Epoch 16 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 136/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 139/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.037
Epoch 16 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 16 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 16 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.015
Epoch 16 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 16 Batch 144/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.031
Epoch 16 Batch 145/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 16 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 16 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 16 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 16 Batch 155/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 16 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 16 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 158/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.032
Epoch 16 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 16 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 161/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.031
Epoch 16 Batch 162/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.030
Epoch 16 Batch 163/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.035
Epoch 16 Batch 164/312 - Train Accuracy: 0.987, Validation Accuracy: 0.973, Loss: 0.015
Epoch 16 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 166/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 16 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 16 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 16 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 171/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.031
Epoch 16 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 173/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 176/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.032
Epoch 16 Batch 177/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.042
Epoch 16 Batch 178/312 - Train Accuracy: 0.969, Validation Accuracy: 0.978, Loss: 0.029
Epoch 16 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 16 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 181/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.016
Epoch 16 Batch 182/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.022
Epoch 16 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 16 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 16 Batch 185/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.018
Epoch 16 Batch 186/312 - Train Accuracy: 0.955, Validation Accuracy: 0.987, Loss: 0.039
Epoch 16 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 16 Batch 188/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.032
Epoch 16 Batch 189/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.033
Epoch 16 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 191/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 192/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 193/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.037
Epoch 16 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 16 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 16 Batch 199/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.033
Epoch 16 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 16 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.021
Epoch 16 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 16 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 205/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.053
Epoch 16 Batch 206/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 16 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 215/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.024
Epoch 16 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 219/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.018
Epoch 16 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 16 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 16 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.034
Epoch 16 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 16 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.034
Epoch 16 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.030
Epoch 16 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 16 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 16 Batch 228/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.028
Epoch 16 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 234/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 16 Batch 237/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 240/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 16 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 16 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 16 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 16 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 16 Batch 246/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.024
Epoch 16 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 16 Batch 248/312 - Train Accuracy: 0.969, Validation Accuracy: 1.000, Loss: 0.042
Epoch 16 Batch 249/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.034
Epoch 16 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 16 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 253/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.020
Epoch 16 Batch 254/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 16 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 256/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 16 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 16 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 16 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 16 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 16 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 271/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 272/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 274/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 16 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 16 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 16 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 279/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.027
Epoch 16 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 16 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 16 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 16 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 16 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 16 Batch 285/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.028
Epoch 16 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 16 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 16 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 16 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 16 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 16 Batch 291/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.019
Epoch 16 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 16 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 16 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 16 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.039
Epoch 16 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 16 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 16 Batch 299/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 16 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 16 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 16 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 16 Batch 303/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.024
Epoch 16 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 16 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 16 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 16 Batch 307/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 16 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 16 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 16 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 17 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 2/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.027
Epoch 17 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 17 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.027
Epoch 17 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 17 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 17 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 17 Batch 10/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.027
Epoch 17 Batch 11/312 - Train Accuracy: 0.978, Validation Accuracy: 0.991, Loss: 0.024
Epoch 17 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 17 Batch 13/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.037
Epoch 17 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 17 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 17/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 17 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 17 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 17 Batch 24/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.022
Epoch 17 Batch 25/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.025
Epoch 17 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 17 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.021
Epoch 17 Batch 28/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.037
Epoch 17 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 17 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 32/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.035
Epoch 17 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 17 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.029
Epoch 17 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 36/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 17 Batch 39/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 17 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.035
Epoch 17 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 43/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 17 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 48/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.032
Epoch 17 Batch 49/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.032
Epoch 17 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 17 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 17 Batch 52/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.037
Epoch 17 Batch 53/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.022
Epoch 17 Batch 54/312 - Train Accuracy: 0.982, Validation Accuracy: 0.996, Loss: 0.021
Epoch 17 Batch 55/312 - Train Accuracy: 0.982, Validation Accuracy: 0.996, Loss: 0.023
Epoch 17 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.024
Epoch 17 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 61/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.034
Epoch 17 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 63/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 17 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 17 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.033
Epoch 17 Batch 66/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.024
Epoch 17 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.019
Epoch 17 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.017
Epoch 17 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.010
Epoch 17 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.017
Epoch 17 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.010
Epoch 17 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.016
Epoch 17 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 75/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 78/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.024
Epoch 17 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 17 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 17 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.019
Epoch 17 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.009
Epoch 17 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.015
Epoch 17 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.016
Epoch 17 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.016
Epoch 17 Batch 88/312 - Train Accuracy: 0.996, Validation Accuracy: 0.978, Loss: 0.016
Epoch 17 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 17 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 17 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 92/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.028
Epoch 17 Batch 93/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 94/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 96/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.031
Epoch 17 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 98/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 99/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 17 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 107/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.032
Epoch 17 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 111/312 - Train Accuracy: 0.973, Validation Accuracy: 0.982, Loss: 0.028
Epoch 17 Batch 112/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 17 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 115/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 17 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 119/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 122/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 125/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 17 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 17 Batch 129/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.037
Epoch 17 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 131/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.028
Epoch 17 Batch 132/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 17 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 134/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.029
Epoch 17 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 136/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 139/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 17 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 17 Batch 144/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.029
Epoch 17 Batch 145/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 17 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.009
Epoch 17 Batch 155/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 17 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 158/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 161/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 162/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.027
Epoch 17 Batch 163/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.021
Epoch 17 Batch 164/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 166/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 17 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 17 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 17 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.018
Epoch 17 Batch 171/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.018
Epoch 17 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 17 Batch 173/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.020
Epoch 17 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 17 Batch 176/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 17 Batch 177/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.033
Epoch 17 Batch 178/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 17 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 17 Batch 181/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 182/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.037
Epoch 17 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 17 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 185/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 17 Batch 186/312 - Train Accuracy: 0.955, Validation Accuracy: 0.982, Loss: 0.029
Epoch 17 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 17 Batch 188/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.035
Epoch 17 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.031
Epoch 17 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 17 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 17 Batch 192/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.025
Epoch 17 Batch 193/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.031
Epoch 17 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 17 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 17 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.021
Epoch 17 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.016
Epoch 17 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 17 Batch 199/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.029
Epoch 17 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 17 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 17 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 17 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 17 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 17 Batch 205/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.033
Epoch 17 Batch 206/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 17 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 17 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 17 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 17 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 17 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 17 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 17 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 17 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 17 Batch 215/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.023
Epoch 17 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 17 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 17 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 17 Batch 219/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 17 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 17 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 17 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 17 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 17 Batch 224/312 - Train Accuracy: 0.978, Validation Accuracy: 1.000, Loss: 0.029
Epoch 17 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 17 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 17 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 17 Batch 228/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.015
Epoch 17 Batch 234/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.021
Epoch 17 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 237/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 240/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 17 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 17 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 17 Batch 246/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 17 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 17 Batch 248/312 - Train Accuracy: 0.969, Validation Accuracy: 1.000, Loss: 0.035
Epoch 17 Batch 249/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.024
Epoch 17 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 17 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 17 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 254/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 256/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.017
Epoch 17 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 17 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 17 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 17 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 17 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 272/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 17 Batch 274/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 17 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 17 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 17 Batch 279/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.019
Epoch 17 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 17 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 17 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 17 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 17 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 17 Batch 285/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.024
Epoch 17 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 17 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 17 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 17 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 17 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 291/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.018
Epoch 17 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 17 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 17 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 17 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 17 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 17 Batch 299/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.015
Epoch 17 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 17 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 303/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 17 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 17 Batch 307/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 17 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 17 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 17 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 2/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 18 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 18 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 18 Batch 13/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 18 Batch 17/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 18 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 18 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 22/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.012
Epoch 18 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 18 Batch 24/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.021
Epoch 18 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 28/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 32/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.029
Epoch 18 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 18 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 36/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 18 Batch 38/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 39/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 18 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 18 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.030
Epoch 18 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 43/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 47/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.030
Epoch 18 Batch 48/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 18 Batch 49/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 18 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 18 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.030
Epoch 18 Batch 52/312 - Train Accuracy: 0.973, Validation Accuracy: 1.000, Loss: 0.034
Epoch 18 Batch 53/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 18 Batch 54/312 - Train Accuracy: 0.978, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 55/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 18 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 18 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 18 Batch 61/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 62/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.028
Epoch 18 Batch 63/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.030
Epoch 18 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 66/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 18 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 18 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 18 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 18 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 18 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 75/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.029
Epoch 18 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 18 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 78/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.016
Epoch 18 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 18 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 18 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 86/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.016
Epoch 18 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 91/312 - Train Accuracy: 0.978, Validation Accuracy: 0.978, Loss: 0.025
Epoch 18 Batch 92/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 93/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 94/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 96/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 98/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 99/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.026
Epoch 18 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 18 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 18 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.012
Epoch 18 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 18 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.015
Epoch 18 Batch 107/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.041
Epoch 18 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.015
Epoch 18 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.027
Epoch 18 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 111/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.028
Epoch 18 Batch 112/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.057
Epoch 18 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 18 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.031
Epoch 18 Batch 115/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.039
Epoch 18 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.029
Epoch 18 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 119/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 122/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 18 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 18 Batch 125/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.048
Epoch 18 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.033
Epoch 18 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.020
Epoch 18 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 18 Batch 129/312 - Train Accuracy: 0.969, Validation Accuracy: 0.982, Loss: 0.070
Epoch 18 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 18 Batch 131/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.045
Epoch 18 Batch 132/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 134/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.046
Epoch 18 Batch 135/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.033
Epoch 18 Batch 136/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.034
Epoch 18 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 18 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.034
Epoch 18 Batch 139/312 - Train Accuracy: 0.973, Validation Accuracy: 0.996, Loss: 0.048
Epoch 18 Batch 140/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.022
Epoch 18 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.022
Epoch 18 Batch 142/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.049
Epoch 18 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 18 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.033
Epoch 18 Batch 145/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 18 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.042
Epoch 18 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.039
Epoch 18 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.026
Epoch 18 Batch 152/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.036
Epoch 18 Batch 153/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.036
Epoch 18 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 155/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 158/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 18 Batch 160/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.041
Epoch 18 Batch 161/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 162/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 163/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.035
Epoch 18 Batch 164/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 166/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 18 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 18 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 169/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.026
Epoch 18 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 171/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 173/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.031
Epoch 18 Batch 176/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.026
Epoch 18 Batch 177/312 - Train Accuracy: 0.969, Validation Accuracy: 1.000, Loss: 0.033
Epoch 18 Batch 178/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.032
Epoch 18 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 18 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 18 Batch 181/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.013
Epoch 18 Batch 182/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.025
Epoch 18 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.018
Epoch 18 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 18 Batch 185/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 18 Batch 186/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.029
Epoch 18 Batch 187/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.019
Epoch 18 Batch 188/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.033
Epoch 18 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.037
Epoch 18 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 18 Batch 192/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 193/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 18 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 18 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 197/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.018
Epoch 18 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 18 Batch 199/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 18 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 18 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 18 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 205/312 - Train Accuracy: 0.973, Validation Accuracy: 1.000, Loss: 0.052
Epoch 18 Batch 206/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.030
Epoch 18 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 18 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 18 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 18 Batch 210/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.025
Epoch 18 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 18 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 18 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.055
Epoch 18 Batch 215/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.032
Epoch 18 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 18 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 219/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 220/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.049
Epoch 18 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.015
Epoch 18 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.029
Epoch 18 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.015
Epoch 18 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.012
Epoch 18 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.016
Epoch 18 Batch 228/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.032
Epoch 18 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 18 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 18 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.026
Epoch 18 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 18 Batch 234/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.024
Epoch 18 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 18 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 237/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.016
Epoch 18 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 240/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 18 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 18 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.036
Epoch 18 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 18 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 18 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 18 Batch 246/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.041
Epoch 18 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.024
Epoch 18 Batch 248/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.049
Epoch 18 Batch 249/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.027
Epoch 18 Batch 250/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.029
Epoch 18 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.032
Epoch 18 Batch 254/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.029
Epoch 18 Batch 255/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.019
Epoch 18 Batch 256/312 - Train Accuracy: 0.978, Validation Accuracy: 1.000, Loss: 0.019
Epoch 18 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 18 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.040
Epoch 18 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 18 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 18 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 18 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 18 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.025
Epoch 18 Batch 264/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.025
Epoch 18 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 18 Batch 266/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.027
Epoch 18 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 18 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 18 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.023
Epoch 18 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.013
Epoch 18 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.034
Epoch 18 Batch 272/312 - Train Accuracy: 0.987, Validation Accuracy: 0.996, Loss: 0.021
Epoch 18 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.009
Epoch 18 Batch 274/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.024
Epoch 18 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 18 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 18 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.042
Epoch 18 Batch 279/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.029
Epoch 18 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 18 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 18 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.021
Epoch 18 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.009
Epoch 18 Batch 285/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 18 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 18 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 18 Batch 291/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 18 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 18 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 18 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 18 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 18 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.038
Epoch 18 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 18 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 18 Batch 299/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 18 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 18 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 18 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 18 Batch 303/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.038
Epoch 18 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 18 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.023
Epoch 18 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 18 Batch 307/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.029
Epoch 18 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 18 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 18 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 19 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 2/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.030
Epoch 19 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 19 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 10/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.045
Epoch 19 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.021
Epoch 19 Batch 12/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.021
Epoch 19 Batch 13/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.029
Epoch 19 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 19 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 19 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 19 Batch 17/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 19 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.013
Epoch 19 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.025
Epoch 19 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 19 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 19 Batch 24/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 19 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 28/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.011
Epoch 19 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.023
Epoch 19 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.033
Epoch 19 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.016
Epoch 19 Batch 32/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.040
Epoch 19 Batch 33/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.008
Epoch 19 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.019
Epoch 19 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.015
Epoch 19 Batch 36/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.028
Epoch 19 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 19 Batch 38/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 19 Batch 39/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 40/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.023
Epoch 19 Batch 41/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.053
Epoch 19 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.022
Epoch 19 Batch 43/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 44/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.029
Epoch 19 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 19 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 48/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.034
Epoch 19 Batch 49/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.033
Epoch 19 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.022
Epoch 19 Batch 52/312 - Train Accuracy: 0.969, Validation Accuracy: 0.991, Loss: 0.068
Epoch 19 Batch 53/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 54/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 19 Batch 55/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.025
Epoch 19 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.027
Epoch 19 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.022
Epoch 19 Batch 63/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.027
Epoch 19 Batch 64/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.032
Epoch 19 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 19 Batch 66/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 19 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 19 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.020
Epoch 19 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 19 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 19 Batch 75/312 - Train Accuracy: 0.982, Validation Accuracy: 0.991, Loss: 0.019
Epoch 19 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 19 Batch 77/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.019
Epoch 19 Batch 78/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 79/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.023
Epoch 19 Batch 91/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 92/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.026
Epoch 19 Batch 93/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 94/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.023
Epoch 19 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 19 Batch 96/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.020
Epoch 19 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 19 Batch 98/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 99/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 19 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 103/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.033
Epoch 19 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 19 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 107/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.028
Epoch 19 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 19 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 19 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 111/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.031
Epoch 19 Batch 112/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 19 Batch 115/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.032
Epoch 19 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 19 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 19 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 19 Batch 119/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.006
Epoch 19 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 122/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 19 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.016
Epoch 19 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 19 Batch 125/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 19 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 19 Batch 129/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.029
Epoch 19 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 131/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 132/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 134/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 136/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 19 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 19 Batch 139/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.024
Epoch 19 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 19 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 19 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 19 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.024
Epoch 19 Batch 145/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.006
Epoch 19 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.013
Epoch 19 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 19 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 19 Batch 155/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 19 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 19 Batch 158/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 19 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 19 Batch 161/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 162/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 19 Batch 163/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 164/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 19 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.006
Epoch 19 Batch 166/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 19 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 19 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 19 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 19 Batch 171/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.013
Epoch 19 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 19 Batch 173/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 19 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 19 Batch 176/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 19 Batch 177/312 - Train Accuracy: 0.969, Validation Accuracy: 0.991, Loss: 0.030
Epoch 19 Batch 178/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.019
Epoch 19 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.018
Epoch 19 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 181/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 19 Batch 182/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 19 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 19 Batch 185/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 19 Batch 186/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.025
Epoch 19 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 188/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.021
Epoch 19 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 19 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 192/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 193/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 19 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 197/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 19 Batch 199/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 19 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 205/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.027
Epoch 19 Batch 206/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 19 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 19 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 19 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 19 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 19 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 19 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 215/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 19 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 19 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 219/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 19 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.012
Epoch 19 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.015
Epoch 19 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 19 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 19 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.027
Epoch 19 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 19 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 19 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 228/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.020
Epoch 19 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 19 Batch 234/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.019
Epoch 19 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 19 Batch 237/312 - Train Accuracy: 0.973, Validation Accuracy: 0.987, Loss: 0.018
Epoch 19 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 19 Batch 240/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 19 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 19 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.017
Epoch 19 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.015
Epoch 19 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.012
Epoch 19 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.009
Epoch 19 Batch 246/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.016
Epoch 19 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.018
Epoch 19 Batch 248/312 - Train Accuracy: 0.969, Validation Accuracy: 1.000, Loss: 0.027
Epoch 19 Batch 249/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.024
Epoch 19 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 19 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 19 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 254/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 19 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 256/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.019
Epoch 19 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 19 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 19 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 19 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 19 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 19 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 19 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 19 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 19 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 19 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 19 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 19 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 19 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 19 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 19 Batch 272/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 19 Batch 274/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 19 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 19 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 19 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 19 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 19 Batch 279/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 19 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 19 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 19 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 19 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 19 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.003
Epoch 19 Batch 285/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 19 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 19 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 19 Batch 291/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 19 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 19 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 19 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 19 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 19 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.021
Epoch 19 Batch 297/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.022
Epoch 19 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 19 Batch 299/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.015
Epoch 19 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 19 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 19 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 303/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 19 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 19 Batch 307/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 19 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 19 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 19 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 2/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 20 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 10/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 13/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.019
Epoch 20 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 17/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 20 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 24/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 28/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 32/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.023
Epoch 20 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.003
Epoch 20 Batch 34/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 36/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 38/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 39/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 20 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 20 Batch 41/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 20 Batch 42/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 43/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.017
Epoch 20 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 20 Batch 48/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 20 Batch 49/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 52/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.024
Epoch 20 Batch 53/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 54/312 - Train Accuracy: 0.978, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 55/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.019
Epoch 20 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 63/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 20 Batch 66/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 20 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 75/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 78/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 79/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 20 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 91/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 92/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 20 Batch 93/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 94/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 96/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 98/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 99/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 107/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 111/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 20 Batch 112/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 115/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 119/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 122/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 125/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 127/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 129/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 20 Batch 130/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 131/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 132/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 134/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 20 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 136/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 139/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 141/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 20 Batch 144/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 145/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 146/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 148/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 149/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 150/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 155/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 158/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.022
Epoch 20 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 161/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 162/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 163/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 164/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 166/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 20 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.009
Epoch 20 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 20 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.014
Epoch 20 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 171/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 173/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 176/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 20 Batch 177/312 - Train Accuracy: 0.964, Validation Accuracy: 0.987, Loss: 0.023
Epoch 20 Batch 178/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.019
Epoch 20 Batch 181/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 182/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 185/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 186/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.032
Epoch 20 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 188/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.017
Epoch 20 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 20 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 192/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 193/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 20 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 20 Batch 197/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 20 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 199/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.030
Epoch 20 Batch 200/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 203/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 20 Batch 205/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 20 Batch 206/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 20 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 20 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.028
Epoch 20 Batch 215/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 20 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 219/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.016
Epoch 20 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.024
Epoch 20 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 20 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 224/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.024
Epoch 20 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 226/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.017
Epoch 20 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 20 Batch 228/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 20 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 20 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 234/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 237/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 240/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 20 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 20 Batch 246/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 248/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.022
Epoch 20 Batch 249/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 254/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 20 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 256/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 20 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 20 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 20 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 20 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 272/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 20 Batch 274/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 20 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 20 Batch 278/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.007
Epoch 20 Batch 279/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 20 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 20 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 20 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 20 Batch 285/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.019
Epoch 20 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 20 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 20 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.021
Epoch 20 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 20 Batch 291/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.012
Epoch 20 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.013
Epoch 20 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 20 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 20 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 20 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.025
Epoch 20 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.010
Epoch 20 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.014
Epoch 20 Batch 299/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 20 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 20 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.044
Epoch 20 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 20 Batch 303/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 20 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.036
Epoch 20 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.034
Epoch 20 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 20 Batch 307/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.023
Epoch 20 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.017
Epoch 20 Batch 309/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.020
Epoch 20 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.036
Epoch 21 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.015
Epoch 21 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.040
Epoch 21 Batch 2/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.039
Epoch 21 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.015
Epoch 21 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.033
Epoch 21 Batch 5/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.036
Epoch 21 Batch 6/312 - Train Accuracy: 0.996, Validation Accuracy: 0.996, Loss: 0.048
Epoch 21 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.013
Epoch 21 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.011
Epoch 21 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.037
Epoch 21 Batch 10/312 - Train Accuracy: 0.991, Validation Accuracy: 0.996, Loss: 0.062
Epoch 21 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.022
Epoch 21 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.018
Epoch 21 Batch 13/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 21 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.010
Epoch 21 Batch 15/312 - Train Accuracy: 0.991, Validation Accuracy: 0.996, Loss: 0.046
Epoch 21 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 0.996, Loss: 0.027
Epoch 21 Batch 17/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.034
Epoch 21 Batch 18/312 - Train Accuracy: 0.991, Validation Accuracy: 1.000, Loss: 0.041
Epoch 21 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 21 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 21 Batch 21/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.037
Epoch 21 Batch 22/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.016
Epoch 21 Batch 23/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.054
Epoch 21 Batch 24/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.067
Epoch 21 Batch 25/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.030
Epoch 21 Batch 26/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.017
Epoch 21 Batch 27/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.069
Epoch 21 Batch 28/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.067
Epoch 21 Batch 29/312 - Train Accuracy: 0.987, Validation Accuracy: 0.996, Loss: 0.027
Epoch 21 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.025
Epoch 21 Batch 31/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.027
Epoch 21 Batch 32/312 - Train Accuracy: 0.978, Validation Accuracy: 0.960, Loss: 0.129
Epoch 21 Batch 33/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.047
Epoch 21 Batch 34/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.031
Epoch 21 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.017
Epoch 21 Batch 36/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.080
Epoch 21 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.073
Epoch 21 Batch 38/312 - Train Accuracy: 0.996, Validation Accuracy: 0.991, Loss: 0.054
Epoch 21 Batch 39/312 - Train Accuracy: 0.987, Validation Accuracy: 0.991, Loss: 0.045
Epoch 21 Batch 40/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.032
Epoch 21 Batch 41/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.096
Epoch 21 Batch 42/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.037
Epoch 21 Batch 43/312 - Train Accuracy: 0.978, Validation Accuracy: 0.969, Loss: 0.035
Epoch 21 Batch 44/312 - Train Accuracy: 0.973, Validation Accuracy: 0.964, Loss: 0.085
Epoch 21 Batch 45/312 - Train Accuracy: 0.991, Validation Accuracy: 0.978, Loss: 0.087
Epoch 21 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.025
Epoch 21 Batch 47/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.025
Epoch 21 Batch 48/312 - Train Accuracy: 0.960, Validation Accuracy: 0.987, Loss: 0.048
Epoch 21 Batch 49/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.112
Epoch 21 Batch 50/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.032
Epoch 21 Batch 51/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.061
Epoch 21 Batch 52/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.059
Epoch 21 Batch 53/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.032
Epoch 21 Batch 54/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.035
Epoch 21 Batch 55/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.025
Epoch 21 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 21 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.047
Epoch 21 Batch 58/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.067
Epoch 21 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.016
Epoch 21 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.018
Epoch 21 Batch 61/312 - Train Accuracy: 0.982, Validation Accuracy: 0.973, Loss: 0.040
Epoch 21 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.041
Epoch 21 Batch 63/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.020
Epoch 21 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 0.964, Loss: 0.033
Epoch 21 Batch 65/312 - Train Accuracy: 0.960, Validation Accuracy: 0.982, Loss: 0.075
Epoch 21 Batch 66/312 - Train Accuracy: 0.955, Validation Accuracy: 0.978, Loss: 0.052
Epoch 21 Batch 67/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.032
Epoch 21 Batch 68/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.027
Epoch 21 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.017
Epoch 21 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.024
Epoch 21 Batch 71/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.023
Epoch 21 Batch 72/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.036
Epoch 21 Batch 73/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.028
Epoch 21 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.037
Epoch 21 Batch 75/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 21 Batch 76/312 - Train Accuracy: 0.978, Validation Accuracy: 0.973, Loss: 0.040
Epoch 21 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.059
Epoch 21 Batch 78/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.021
Epoch 21 Batch 79/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.031
Epoch 21 Batch 80/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.027
Epoch 21 Batch 81/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.028
Epoch 21 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.024
Epoch 21 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 21 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.016
Epoch 21 Batch 85/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.037
Epoch 21 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 0.960, Loss: 0.014
Epoch 21 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.040
Epoch 21 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.033
Epoch 21 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.061
Epoch 21 Batch 90/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.037
Epoch 21 Batch 91/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.028
Epoch 21 Batch 92/312 - Train Accuracy: 0.987, Validation Accuracy: 0.978, Loss: 0.092
Epoch 21 Batch 93/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 21 Batch 94/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.030
Epoch 21 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.019
Epoch 21 Batch 96/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.022
Epoch 21 Batch 97/312 - Train Accuracy: 0.987, Validation Accuracy: 0.969, Loss: 0.042
Epoch 21 Batch 98/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.033
Epoch 21 Batch 99/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.024
Epoch 21 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.969, Loss: 0.028
Epoch 21 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 21 Batch 103/312 - Train Accuracy: 0.991, Validation Accuracy: 0.973, Loss: 0.073
Epoch 21 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 21 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.031
Epoch 21 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.023
Epoch 21 Batch 107/312 - Train Accuracy: 0.996, Validation Accuracy: 0.973, Loss: 0.033
Epoch 21 Batch 108/312 - Train Accuracy: 0.991, Validation Accuracy: 0.964, Loss: 0.016
Epoch 21 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.955, Loss: 0.020
Epoch 21 Batch 110/312 - Train Accuracy: 0.996, Validation Accuracy: 0.964, Loss: 0.018
Epoch 21 Batch 111/312 - Train Accuracy: 0.987, Validation Accuracy: 0.964, Loss: 0.035
Epoch 21 Batch 112/312 - Train Accuracy: 0.982, Validation Accuracy: 0.978, Loss: 0.045
Epoch 21 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.017
Epoch 21 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.010
Epoch 21 Batch 115/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.028
Epoch 21 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.019
Epoch 21 Batch 117/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.043
Epoch 21 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 119/312 - Train Accuracy: 0.978, Validation Accuracy: 0.987, Loss: 0.022
Epoch 21 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 121/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.039
Epoch 21 Batch 122/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 21 Batch 123/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 124/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 125/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 21 Batch 126/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 21 Batch 127/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.037
Epoch 21 Batch 128/312 - Train Accuracy: 1.000, Validation Accuracy: 0.973, Loss: 0.007
Epoch 21 Batch 129/312 - Train Accuracy: 0.978, Validation Accuracy: 0.982, Loss: 0.047
Epoch 21 Batch 130/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.030
Epoch 21 Batch 131/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 132/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.023
Epoch 21 Batch 133/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.006
Epoch 21 Batch 134/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.024
Epoch 21 Batch 135/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 21 Batch 136/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.037
Epoch 21 Batch 137/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 21 Batch 138/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 139/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.024
Epoch 21 Batch 140/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 141/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.026
Epoch 21 Batch 142/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 21 Batch 143/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 21 Batch 144/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.028
Epoch 21 Batch 145/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 146/312 - Train Accuracy: 0.996, Validation Accuracy: 0.982, Loss: 0.014
Epoch 21 Batch 147/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.027
Epoch 21 Batch 148/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.016
Epoch 21 Batch 149/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 150/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 151/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 152/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.018
Epoch 21 Batch 153/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 21 Batch 154/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.007
Epoch 21 Batch 155/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.014
Epoch 21 Batch 156/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.011
Epoch 21 Batch 157/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.013
Epoch 21 Batch 158/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.018
Epoch 21 Batch 159/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.029
Epoch 21 Batch 160/312 - Train Accuracy: 1.000, Validation Accuracy: 0.978, Loss: 0.019
Epoch 21 Batch 161/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 162/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.020
Epoch 21 Batch 163/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.019
Epoch 21 Batch 164/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 21 Batch 165/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 21 Batch 166/312 - Train Accuracy: 0.991, Validation Accuracy: 0.991, Loss: 0.026
Epoch 21 Batch 167/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 21 Batch 168/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 21 Batch 169/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 170/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 171/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 172/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 173/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 21 Batch 174/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 21 Batch 175/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.016
Epoch 21 Batch 176/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.016
Epoch 21 Batch 177/312 - Train Accuracy: 0.991, Validation Accuracy: 0.982, Loss: 0.024
Epoch 21 Batch 178/312 - Train Accuracy: 0.987, Validation Accuracy: 0.982, Loss: 0.022
Epoch 21 Batch 179/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.023
Epoch 21 Batch 180/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 21 Batch 181/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 21 Batch 182/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 183/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 184/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 185/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 21 Batch 186/312 - Train Accuracy: 0.991, Validation Accuracy: 0.987, Loss: 0.021
Epoch 21 Batch 187/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 188/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.021
Epoch 21 Batch 189/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 190/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 21 Batch 191/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 192/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 193/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 194/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 195/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 21 Batch 196/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 197/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 21 Batch 198/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 21 Batch 199/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 200/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.016
Epoch 21 Batch 201/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 202/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 21 Batch 203/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 21 Batch 204/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 205/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.023
Epoch 21 Batch 206/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 21 Batch 207/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 208/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 209/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 210/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 211/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 212/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 21 Batch 213/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 214/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 21 Batch 215/312 - Train Accuracy: 0.996, Validation Accuracy: 1.000, Loss: 0.017
Epoch 21 Batch 216/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 217/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 21 Batch 218/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 21 Batch 219/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 220/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 21 Batch 221/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 222/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 223/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 21 Batch 224/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.019
Epoch 21 Batch 225/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 226/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 21 Batch 227/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 228/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 21 Batch 229/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 230/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 21 Batch 231/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 232/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.012
Epoch 21 Batch 233/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.006
Epoch 21 Batch 234/312 - Train Accuracy: 0.982, Validation Accuracy: 0.982, Loss: 0.014
Epoch 21 Batch 235/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.011
Epoch 21 Batch 236/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 237/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 21 Batch 238/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.014
Epoch 21 Batch 239/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 21 Batch 240/312 - Train Accuracy: 0.996, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 241/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 21 Batch 242/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.013
Epoch 21 Batch 243/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 21 Batch 244/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 21 Batch 245/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 246/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 247/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 248/312 - Train Accuracy: 0.987, Validation Accuracy: 1.000, Loss: 0.023
Epoch 21 Batch 249/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 21 Batch 250/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 21 Batch 251/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 21 Batch 252/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 21 Batch 253/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 21 Batch 254/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 21 Batch 255/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 21 Batch 256/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 21 Batch 257/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 21 Batch 258/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 259/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 21 Batch 260/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 21 Batch 261/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 262/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 21 Batch 263/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 264/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 21 Batch 265/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 266/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 267/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 21 Batch 268/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 21 Batch 269/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 270/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 271/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 21 Batch 272/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 21 Batch 273/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 21 Batch 274/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 275/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 21 Batch 276/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 21 Batch 277/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 21 Batch 278/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 279/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 280/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 21 Batch 281/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 282/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 21 Batch 283/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.022
Epoch 21 Batch 284/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.003
Epoch 21 Batch 285/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 21 Batch 286/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 287/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 288/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 21 Batch 289/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 21 Batch 290/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 21 Batch 291/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.015
Epoch 21 Batch 292/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 293/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 294/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 295/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 296/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.017
Epoch 21 Batch 297/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 298/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 21 Batch 299/312 - Train Accuracy: 0.987, Validation Accuracy: 0.987, Loss: 0.011
Epoch 21 Batch 300/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.003
Epoch 21 Batch 301/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 21 Batch 302/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 21 Batch 303/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.009
Epoch 21 Batch 304/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 21 Batch 305/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 306/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 21 Batch 307/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.015
Epoch 21 Batch 308/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 21 Batch 309/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 21 Batch 310/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 0/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 1/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 2/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 3/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 4/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 22 Batch 5/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 22 Batch 6/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 7/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 8/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 9/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 10/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 11/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.013
Epoch 22 Batch 12/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 13/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 22 Batch 14/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 15/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 16/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 17/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 22 Batch 18/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 19/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 20/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 21/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.010
Epoch 22 Batch 22/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
Epoch 22 Batch 23/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.002
Epoch 22 Batch 24/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 22 Batch 25/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 22 Batch 26/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 27/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.007
Epoch 22 Batch 28/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.008
Epoch 22 Batch 29/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 22 Batch 30/312 - Train Accuracy: 1.000, Validation Accuracy: 0.991, Loss: 0.009
Epoch 22 Batch 31/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 22 Batch 32/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.024
Epoch 22 Batch 33/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.003
Epoch 22 Batch 34/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 35/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 36/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 37/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 38/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 39/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 40/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 41/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.014
Epoch 22 Batch 42/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 43/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 22 Batch 44/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 45/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 22 Batch 46/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 47/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 48/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 22 Batch 49/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.016
Epoch 22 Batch 50/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 51/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 52/312 - Train Accuracy: 0.982, Validation Accuracy: 1.000, Loss: 0.017
Epoch 22 Batch 53/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 54/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 55/312 - Train Accuracy: 0.982, Validation Accuracy: 0.987, Loss: 0.015
Epoch 22 Batch 56/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 22 Batch 57/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 58/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 22 Batch 59/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 22 Batch 60/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 61/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 62/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.010
Epoch 22 Batch 63/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.017
Epoch 22 Batch 64/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 65/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.013
Epoch 22 Batch 66/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 67/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 68/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 22 Batch 69/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.004
Epoch 22 Batch 70/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 71/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 72/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 22 Batch 73/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.003
Epoch 22 Batch 74/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 22 Batch 75/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 22 Batch 76/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 22 Batch 77/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 78/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 79/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 80/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 81/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.005
Epoch 22 Batch 82/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 83/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 84/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.002
Epoch 22 Batch 85/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 86/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.007
Epoch 22 Batch 87/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.008
Epoch 22 Batch 88/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.004
Epoch 22 Batch 89/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.009
Epoch 22 Batch 90/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.012
Epoch 22 Batch 91/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.006
Epoch 22 Batch 92/312 - Train Accuracy: 1.000, Validation Accuracy: 1.000, Loss: 0.011
Epoch 22 Batch 93/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 22 Batch 94/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 95/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.002
Epoch 22 Batch 96/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 22 Batch 97/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.005
Epoch 22 Batch 98/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 22 Batch 99/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 22 Batch 100/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.005
Epoch 22 Batch 101/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.003
Epoch 22 Batch 102/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.004
Epoch 22 Batch 103/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.006
Epoch 22 Batch 104/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.003
Epoch 22 Batch 105/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.007
Epoch 22 Batch 106/312 - Train Accuracy: 1.000, Validation Accuracy: 0.982, Loss: 0.008
Epoch 22 Batch 107/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 108/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 22 Batch 109/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.008
Epoch 22 Batch 110/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 22 Batch 111/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.012
Epoch 22 Batch 112/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 22 Batch 113/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 22 Batch 114/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 22 Batch 115/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.011
Epoch 22 Batch 116/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.007
Epoch 22 Batch 117/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.003
Epoch 22 Batch 118/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.005
Epoch 22 Batch 119/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.006
Epoch 22 Batch 120/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.003
Epoch 22 Batch 121/312 - Train Accuracy: 1.000, Validation Accuracy: 0.987, Loss: 0.009
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-15-29d5072a99c2> in <module>()
20 batch_valid_logits = sess.run(
21 inference_logits,
---> 22 {input_data: valid_source})
23
24 train_acc = np.mean(np.equal(target_batch, np.argmax(batch_train_logits, 2)))
C:\Users\Abdul\Anaconda3\envs\dlnd-tf-lab\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
765 try:
766 result = self._run(None, fetches, feed_dict, options_ptr,
--> 767 run_metadata_ptr)
768 if run_metadata:
769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
C:\Users\Abdul\Anaconda3\envs\dlnd-tf-lab\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
963 if final_fetches or final_targets:
964 results = self._do_run(handle, final_targets, final_fetches,
--> 965 feed_dict_string, options, run_metadata)
966 else:
967 results = []
C:\Users\Abdul\Anaconda3\envs\dlnd-tf-lab\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1013 if handle is None:
1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015 target_list, options, run_metadata)
1016 else:
1017 return self._do_call(_prun_fn, self._session, handle, feed_dict,
C:\Users\Abdul\Anaconda3\envs\dlnd-tf-lab\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1020 def _do_call(self, fn, *args):
1021 try:
-> 1022 return fn(*args)
1023 except errors.OpError as e:
1024 message = compat.as_text(e.message)
C:\Users\Abdul\Anaconda3\envs\dlnd-tf-lab\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1002 return tf_session.TF_Run(session, options,
1003 feed_dict, fetch_list, target_list,
-> 1004 status, run_metadata)
1005
1006 def _prun_fn(session, handle, feed_dict, fetch_list):
KeyboardInterrupt:
In [17]:
input_sentence = 'hello'
input_sentence = [source_letter_to_int.get(word, source_letter_to_int['<unk>']) for word in input_sentence.lower()]
input_sentence = input_sentence + [0] * (sequence_length - len(input_sentence))
batch_shell = np.zeros((batch_size, sequence_length))
batch_shell[0] = input_sentence
chatbot_logits = sess.run(inference_logits, {input_data: batch_shell})[0]
print('Input')
print(' Word Ids: {}'.format([i for i in input_sentence]))
print(' Input Words: {}'.format([source_int_to_letter[i] for i in input_sentence]))
print('\nPrediction')
print(' Word Ids: {}'.format([i for i in np.argmax(chatbot_logits, 1)]))
print(' Chatbot Answer Words: {}'.format([target_int_to_letter[i] for i in np.argmax(chatbot_logits, 1)]))
Input
Word Ids: [13, 11, 26, 26, 22, 0, 0]
Input Words: ['h', 'e', 'l', 'l', 'o', '<pad>', '<pad>']
Prediction
Word Ids: [11, 13, 26, 26, 22, 0, 0]
Chatbot Answer Words: ['e', 'h', 'l', 'l', 'o', '<pad>', '<pad>']
Content source: y2ee201/Deep-Learning-Nanodegree
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