In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
Since translating the whole language of English to French will take lots of time to train, we have provided you with a small portion of the English corpus.
In [26]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
import problem_unittests as tests
source_path = 'data/training-giga-fren/giga-fren.release2.fixed.en'
target_path = 'data/training-giga-fren/giga-fren.release2.fixed.fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-26-e08acb2b5e50> in <module>()
7 source_path = 'data/training-giga-fren/giga-fren.release2.fixed.en'
8 target_path = 'data/training-giga-fren/giga-fren.release2.fixed.fr'
----> 9 source_text = helper.load_data(source_path)
10 target_text = helper.load_data(target_path)
F:\AllProjects\deep-learning\language-translation\helper.py in load_data(path)
14 input_file = os.path.join(path)
15 with open(input_file, 'r', encoding='utf-8') as f:
---> 16 return f.read()
17
18
c:\users\administrator\anaconda3\envs\intro-to-rnns\lib\codecs.py in decode(self, input, final)
316 raise NotImplementedError
317
--> 318 def decode(self, input, final=False):
319 # decode input (taking the buffer into account)
320 data = self.buffer + input
KeyboardInterrupt:
In [2]:
view_sentence_range = (0, 10)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
print('Dataset Stats')
print('Roughly the number of unique words: {}'.format(len({word: None for word in source_text.split()})))
print('Roughly the number of unique words: {}'.format(len({word: None for word in target_text.split()})))
sentences = source_text.split('\n')
word_counts = [len(sentence.split()) for sentence in sentences]
print('Number of sentences: {}'.format(len(sentences)))
print('Average number of words in a sentence: {}'.format(np.average(word_counts)))
print()
print('English sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(source_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))
print()
print('French sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(target_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))
Dataset Stats
Roughly the number of unique words: 227
Roughly the number of unique words: 355
Number of sentences: 137861
Average number of words in a sentence: 13.225277634719028
English sentences 0 to 10:
new jersey is sometimes quiet during autumn , and it is snowy in april .
the united states is usually chilly during july , and it is usually freezing in november .
california is usually quiet during march , and it is usually hot in june .
the united states is sometimes mild during june , and it is cold in september .
your least liked fruit is the grape , but my least liked is the apple .
his favorite fruit is the orange , but my favorite is the grape .
paris is relaxing during december , but it is usually chilly in july .
new jersey is busy during spring , and it is never hot in march .
our least liked fruit is the lemon , but my least liked is the grape .
the united states is sometimes busy during january , and it is sometimes warm in november .
French sentences 0 to 10:
new jersey est parfois calme pendant l' automne , et il est neigeux en avril .
les états-unis est généralement froid en juillet , et il gèle habituellement en novembre .
california est généralement calme en mars , et il est généralement chaud en juin .
les états-unis est parfois légère en juin , et il fait froid en septembre .
votre moins aimé fruit est le raisin , mais mon moins aimé est la pomme .
son fruit préféré est l'orange , mais mon préféré est le raisin .
paris est relaxant en décembre , mais il est généralement froid en juillet .
new jersey est occupé au printemps , et il est jamais chaude en mars .
notre fruit est moins aimé le citron , mais mon moins aimé est le raisin .
les états-unis est parfois occupé en janvier , et il est parfois chaud en novembre .
As you did with other RNNs, you must turn the text into a number so the computer can understand it. In the function text_to_ids(), you'll turn source_text and target_text from words to ids. However, you need to add the <EOS> word id at the end of target_text. This will help the neural network predict when the sentence should end.
You can get the <EOS> word id by doing:
target_vocab_to_int['<EOS>']
You can get other word ids using source_vocab_to_int and target_vocab_to_int.
In [3]:
def text_to_ids(source_text, target_text, source_vocab_to_int, target_vocab_to_int):
"""
Convert source and target text to proper word ids
:param source_text: String that contains all the source text.
:param target_text: String that contains all the target text.
:param source_vocab_to_int: Dictionary to go from the source words to an id
:param target_vocab_to_int: Dictionary to go from the target words to an id
:return: A tuple of lists (source_id_text, target_id_text)
"""
#sentences2 = target_text.split('n')
#wordList1 = source_text.split(' ')
mat_in = []
mat_tar = []
# TODO: Implement Function
#print(source_vocab_to_int)
#target_text = temp.replace(".", "<EOS>")
for sentence in source_text.split("\n"):
arr = []
for word in sentence.split():
arr.append(source_vocab_to_int[word])
mat_in.append(arr)
for sentence in target_text.split("\n"):
arr = []
for word in sentence.split():
arr.append(target_vocab_to_int[word])
arr.append(target_vocab_to_int['<EOS>'])
#print(np.array(arr).shape)
mat_tar.append(arr)
#print (mat_tar[1])
#for count, word in enumerate(target_text)
return mat_in, mat_tar
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_text_to_ids(text_to_ids)
Tests Passed
In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
helper.preprocess_and_save_data(source_path, target_path, text_to_ids)
In [5]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
import helper
import problem_unittests as tests
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
In [6]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
from tensorflow.python.layers.core import Dense
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.1'), 'Please use TensorFlow version 1.1 or newer'
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.1.0
Default GPU Device: /gpu:0
You'll build the components necessary to build a Sequence-to-Sequence model by implementing the following functions below:
model_inputsprocess_decoder_inputencoding_layerdecoding_layer_traindecoding_layer_inferdecoding_layerseq2seq_modelImplement the model_inputs() function to create TF Placeholders for the Neural Network. It should create the following placeholders:
Return the placeholders in the following the tuple (input, targets, learning rate, keep probability, target sequence length, max target sequence length, source sequence length)
In [7]:
def model_inputs():
"""
Create TF Placeholders for input, targets, learning rate, and lengths of source and target sequences.
:return: Tuple (input, targets, learning rate, keep probability, target sequence length,
max target sequence length, source sequence length)
"""
# TODO: Implement Function
inputs = tf.placeholder(tf.int32, shape=(None,None), name='input')
targets = tf.placeholder(tf.int32, shape=(None, None), name='target')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
target_seq_len = tf.placeholder(tf.int32, shape=[None], name='target_sequence_length')
max_target_len = tf.reduce_max(target_seq_len, name='max_target_len')
source_seq_len = tf.placeholder(tf.int32, shape=[None], name='source_sequence_length')
return inputs, targets, learning_rate, keep_prob, target_seq_len, max_target_len, source_seq_len
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
In [8]:
def process_decoder_input(target_data, target_vocab_to_int, batch_size):
"""
Preprocess target data for encoding
:param target_data: Target Placehoder
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param batch_size: Batch Size
:return: Preprocessed target data
"""
# TODO: Implement Function
print(target_data[0:200])
go = tf.constant(target_vocab_to_int['<GO>'], shape=(batch_size,1), dtype=tf.int32)
new_target = tf.concat([go,target_data[:,:-1]],1)
return new_target
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_process_encoding_input(process_decoder_input)
Tensor("strided_slice:0", shape=(2, 3), dtype=int32)
Tests Passed
Implement encoding_layer() to create a Encoder RNN layer:
tf.contrib.layers.embed_sequencetf.contrib.rnn.LSTMCell wrapped in a tf.contrib.rnn.DropoutWrappertf.nn.dynamic_rnn()
In [9]:
from imp import reload
reload(tests)
def encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob,
source_sequence_length, source_vocab_size,
encoding_embedding_size):
"""
Create encoding layer
:param rnn_inputs: Inputs for the RNN
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param keep_prob: Dropout keep probability
:param source_sequence_length: a list of the lengths of each sequence in the batch
:param source_vocab_size: vocabulary size of source data
:param encoding_embedding_size: embedding size of source data
:return: tuple (RNN output, RNN state)
"""
# TODO: Implement Function
cell_stack = []
for _ in range(num_layers):
lstm = tf.contrib.rnn.LSTMCell(rnn_size)
drop = tf.contrib.rnn.DropoutWrapper(lstm, output_keep_prob=keep_prob)
cell_stack.append(drop)
lstms = tf.contrib.rnn.MultiRNNCell(cell_stack)
encoder = tf.contrib.layers.embed_sequence(rnn_inputs, vocab_size = source_vocab_size, embed_dim = encoding_embedding_size)
output, state = tf.nn.dynamic_rnn(lstms, encoder, source_sequence_length, dtype=tf.float32)
return output, state
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_encoding_layer(encoding_layer)
Tests Passed
Create a training decoding layer:
tf.contrib.seq2seq.TrainingHelper tf.contrib.seq2seq.BasicDecodertf.contrib.seq2seq.dynamic_decode
In [10]:
def decoding_layer_train(encoder_state, dec_cell, dec_embed_input,
target_sequence_length, max_summary_length,
output_layer, keep_prob):
"""
Create a decoding layer for training
:param encoder_state: Encoder State
:param dec_cell: Decoder RNN Cell
:param dec_embed_input: Decoder embedded input
:param target_sequence_length: The lengths of each sequence in the target batch
:param max_summary_length: The length of the longest sequence in the batch
:param output_layer: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: BasicDecoderOutput containing training logits and sample_id
"""
# TODO: Implement Function
#print("seq length")
#print(target_sequence_length)
train_helper = tf.contrib.seq2seq.TrainingHelper(dec_embed_input, target_sequence_length)
basic_decoder = tf.contrib.seq2seq.BasicDecoder(dec_cell, train_helper, encoder_state, output_layer)
output, _ = tf.contrib.seq2seq.dynamic_decode(basic_decoder,maximum_iterations=max_summary_length)
return output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_train(decoding_layer_train)
Tests Passed
Create inference decoder:
tf.contrib.seq2seq.GreedyEmbeddingHelpertf.contrib.seq2seq.BasicDecodertf.contrib.seq2seq.dynamic_decode
In [11]:
def decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id,
end_of_sequence_id, max_target_sequence_length,
vocab_size, output_layer, batch_size, keep_prob):
"""
Create a decoding layer for inference
:param encoder_state: Encoder state
:param dec_cell: Decoder RNN Cell
:param dec_embeddings: Decoder embeddings
:param start_of_sequence_id: GO ID
:param end_of_sequence_id: EOS Id
:param max_target_sequence_length: Maximum length of target sequences
:param vocab_size: Size of decoder/target vocabulary
:param decoding_scope: TenorFlow Variable Scope for decoding
:param output_layer: Function to apply the output layer
:param batch_size: Batch size
:param keep_prob: Dropout keep probability
:return: BasicDecoderOutput containing inference logits and sample_id
"""
# TODO: Implement Function
ids = tf.tile([start_of_sequence_id], [batch_size])
# Create the embedding helper.
embedding_helper = tf.contrib.seq2seq.GreedyEmbeddingHelper(
dec_embeddings, ids, end_of_sequence_id)
basic_decoder = tf.contrib.seq2seq.BasicDecoder(
dec_cell, embedding_helper, encoder_state, output_layer)
output, _ = tf.contrib.seq2seq.dynamic_decode(
basic_decoder,maximum_iterations=max_target_sequence_length)
return output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_infer(decoding_layer_infer)
Tests Passed
Implement decoding_layer() to create a Decoder RNN layer.
decoding_layer_train(encoder_state, dec_cell, dec_embed_input, target_sequence_length, max_target_sequence_length, output_layer, keep_prob) function to get the training logits.decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id, max_target_sequence_length, vocab_size, output_layer, batch_size, keep_prob) function to get the inference logits.Note: You'll need to use tf.variable_scope to share variables between training and inference.
In [12]:
def decoding_layer(dec_input, encoder_state,
target_sequence_length, max_target_sequence_length,
rnn_size,
num_layers, target_vocab_to_int, target_vocab_size,
batch_size, keep_prob, decoding_embedding_size):
"""
Create decoding layer
:param dec_input: Decoder input
:param encoder_state: Encoder state
:param target_sequence_length: The lengths of each sequence in the target batch
:param max_target_sequence_length: Maximum length of target sequences
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param target_vocab_size: Size of target vocabulary
:param batch_size: The size of the batch
:param keep_prob: Dropout keep probability
:param decoding_embedding_size: Decoding embedding size
:return: Tuple of (Training BasicDecoderOutput, Inference BasicDecoderOutput)
"""
# TODO: Implement Function
cells = []
for _ in range(num_layers):
lstm = tf.contrib.rnn.LSTMCell(rnn_size)
drop = tf.contrib.rnn.DropoutWrapper(lstm, output_keep_prob=keep_prob)
cells.append(drop)
lstms = tf.contrib.rnn.MultiRNNCell(cells)
dec_embeds = tf.Variable(tf.random_uniform([target_vocab_size, decoding_embedding_size]))
dec_embed_in = tf.nn.embedding_lookup(dec_embeds, dec_input)
dense_layer = Dense(target_vocab_size, kernel_initializer = tf.truncated_normal_initializer(mean = 0.0, stddev=0.1))
with tf.variable_scope("decode") as scope:
train_decoder_outputs = decoding_layer_train(encoder_state, lstms, dec_embed_in,
target_sequence_length, max_target_sequence_length, dense_layer, keep_prob)
scope.reuse_variables()
infer_decoder_outputs = decoding_layer_infer(encoder_state, lstms, dec_embeds,
target_vocab_to_int['<GO>'], target_vocab_to_int['<EOS>'], max_target_sequence_length, target_vocab_size,
dense_layer, batch_size, keep_prob)
return train_decoder_outputs , infer_decoder_outputs
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer(decoding_layer)
Tests Passed
Apply the functions you implemented above to:
encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob, source_sequence_length, source_vocab_size, encoding_embedding_size).process_decoder_input(target_data, target_vocab_to_int, batch_size) function.decoding_layer(dec_input, enc_state, target_sequence_length, max_target_sentence_length, rnn_size, num_layers, target_vocab_to_int, target_vocab_size, batch_size, keep_prob, dec_embedding_size) function.
In [13]:
def seq2seq_model(input_data, target_data, keep_prob, batch_size,
source_sequence_length, target_sequence_length,
max_target_sentence_length,
source_vocab_size, target_vocab_size,
enc_embedding_size, dec_embedding_size,
rnn_size, num_layers, target_vocab_to_int):
"""
Build the Sequence-to-Sequence part of the neural network
:param input_data: Input placeholder
:param target_data: Target placeholder
:param keep_prob: Dropout keep probability placeholder
:param batch_size: Batch Size
:param source_sequence_length: Sequence Lengths of source sequences in the batch
:param target_sequence_length: Sequence Lengths of target sequences in the batch
:param source_vocab_size: Source vocabulary size
:param target_vocab_size: Target vocabulary size
:param enc_embedding_size: Decoder embedding size
:param dec_embedding_size: Encoder embedding size
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:return: Tuple of (Training BasicDecoderOutput, Inference BasicDecoderOutput)
"""
# TODO: Implement Function
outputs, state = encoding_layer(input_data, rnn_size, num_layers, keep_prob,
source_sequence_length, source_vocab_size,
enc_embedding_size)
processed_input = process_decoder_input(target_data, target_vocab_to_int, batch_size)
train_decoder_output, interface_decoder_output = decoding_layer(processed_input, state,
target_sequence_length, max_target_sentence_length,
rnn_size, num_layers, target_vocab_to_int, target_vocab_size,
batch_size, keep_prob, dec_embedding_size)
return train_decoder_output, interface_decoder_output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_seq2seq_model(seq2seq_model)
Tensor("strided_slice:0", shape=(64, 22), dtype=int32)
Tests Passed
Tune the following parameters:
epochs to the number of epochs.batch_size to the batch size.rnn_size to the size of the RNNs.num_layers to the number of layers.encoding_embedding_size to the size of the embedding for the encoder.decoding_embedding_size to the size of the embedding for the decoder.learning_rate to the learning rate.keep_probability to the Dropout keep probabilitydisplay_step to state how many steps between each debug output statement
In [14]:
# Number of Epochs
epochs = 20
# Batch Size
batch_size = 512
# RNN Size
rnn_size = 128
# Number of Layers
num_layers = 2
# Embedding Size
encoding_embedding_size = 128
decoding_embedding_size = 128
# Learning Rate
learning_rate = 0.0009
# Dropout Keep Probability
keep_probability = 0.5
display_step = True
In [15]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
save_path = 'checkpoints/dev'
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
max_target_sentence_length = max([len(sentence) for sentence in source_int_text])
train_graph = tf.Graph()
with train_graph.as_default():
input_data, targets, lr, keep_prob, target_sequence_length, max_target_sequence_length, source_sequence_length = model_inputs()
#sequence_length = tf.placeholder_with_default(max_target_sentence_length, None, name='sequence_length')
input_shape = tf.shape(input_data)
train_logits, inference_logits = seq2seq_model(tf.reverse(input_data, [-1]),
targets,
keep_prob,
batch_size,
source_sequence_length,
target_sequence_length,
max_target_sequence_length,
len(source_vocab_to_int),
len(target_vocab_to_int),
encoding_embedding_size,
decoding_embedding_size,
rnn_size,
num_layers,
target_vocab_to_int)
training_logits = tf.identity(train_logits.rnn_output, name='logits')
inference_logits = tf.identity(inference_logits.sample_id, name='predictions')
masks = tf.sequence_mask(target_sequence_length, max_target_sequence_length, dtype=tf.float32, name='masks')
with tf.name_scope("optimization"):
# Loss function
cost = tf.contrib.seq2seq.sequence_loss(
training_logits,
targets,
masks)
# 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)
Tensor("strided_slice:0", shape=(?, ?), dtype=int32)
Batch and pad the source and target sequences
In [16]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
def pad_sentence_batch(sentence_batch, pad_int):
"""Pad sentences with <PAD> so that each sentence of a batch has the same length"""
max_sentence = max([len(sentence) for sentence in sentence_batch])
return [sentence + [pad_int] * (max_sentence - len(sentence)) for sentence in sentence_batch]
def get_batches(sources, targets, batch_size, source_pad_int, target_pad_int):
"""Batch targets, sources, and the lengths of their sentences together"""
for batch_i in range(0, len(sources)//batch_size):
start_i = batch_i * batch_size
# Slice the right amount for the batch
sources_batch = sources[start_i:start_i + batch_size]
targets_batch = targets[start_i:start_i + batch_size]
# Pad
pad_sources_batch = np.array(pad_sentence_batch(sources_batch, source_pad_int))
pad_targets_batch = np.array(pad_sentence_batch(targets_batch, target_pad_int))
# Need the lengths for the _lengths parameters
pad_targets_lengths = []
for target in pad_targets_batch:
pad_targets_lengths.append(len(target))
pad_source_lengths = []
for source in pad_sources_batch:
pad_source_lengths.append(len(source))
yield pad_sources_batch, pad_targets_batch, pad_source_lengths, pad_targets_lengths
In [17]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
def get_accuracy(target, logits):
"""
Calculate accuracy
"""
max_seq = max(target.shape[1], logits.shape[1])
if max_seq - target.shape[1]:
target = np.pad(
target,
[(0,0),(0,max_seq - target.shape[1])],
'constant')
if max_seq - logits.shape[1]:
logits = np.pad(
logits,
[(0,0),(0,max_seq - logits.shape[1])],
'constant')
return np.mean(np.equal(target, logits))
# Split data to training and validation sets
train_source = source_int_text[batch_size:]
train_target = target_int_text[batch_size:]
valid_source = source_int_text[:batch_size]
valid_target = target_int_text[:batch_size]
(valid_sources_batch, valid_targets_batch, valid_sources_lengths, valid_targets_lengths ) = next(get_batches(valid_source,
valid_target,
batch_size,
source_vocab_to_int['<PAD>'],
target_vocab_to_int['<PAD>']))
with tf.Session(graph=train_graph) as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epochs):
for batch_i, (source_batch, target_batch, sources_lengths, targets_lengths) in enumerate(
get_batches(train_source, train_target, batch_size,
source_vocab_to_int['<PAD>'],
target_vocab_to_int['<PAD>'])):
_, loss = sess.run(
[train_op, cost],
{input_data: source_batch,
targets: target_batch,
lr: learning_rate,
target_sequence_length: targets_lengths,
source_sequence_length: sources_lengths,
keep_prob: keep_probability})
if batch_i % display_step == 0 and batch_i > 0:
batch_train_logits = sess.run(
inference_logits,
{input_data: source_batch,
source_sequence_length: sources_lengths,
target_sequence_length: targets_lengths,
keep_prob: 1.0})
batch_valid_logits = sess.run(
inference_logits,
{input_data: valid_sources_batch,
source_sequence_length: valid_sources_lengths,
target_sequence_length: valid_targets_lengths,
keep_prob: 1.0})
train_acc = get_accuracy(target_batch, batch_train_logits)
valid_acc = get_accuracy(valid_targets_batch, batch_valid_logits)
print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.4f}, Validation Accuracy: {:>6.4f}, Loss: {:>6.4f}'
.format(epoch_i, batch_i, len(source_int_text) // batch_size, train_acc, valid_acc, loss))
# Save Model
saver = tf.train.Saver()
saver.save(sess, save_path)
print('Model Trained and Saved')
Epoch 0 Batch 1/269 - Train Accuracy: 0.2329, Validation Accuracy: 0.3096, Loss: 5.7262
Epoch 0 Batch 2/269 - Train Accuracy: 0.2655, Validation Accuracy: 0.3096, Loss: 5.5192
Epoch 0 Batch 3/269 - Train Accuracy: 0.2444, Validation Accuracy: 0.3096, Loss: 5.3796
Epoch 0 Batch 4/269 - Train Accuracy: 0.2317, Validation Accuracy: 0.3096, Loss: 5.2292
Epoch 0 Batch 5/269 - Train Accuracy: 0.2325, Validation Accuracy: 0.3096, Loss: 5.0729
Epoch 0 Batch 6/269 - Train Accuracy: 0.2787, Validation Accuracy: 0.3099, Loss: 4.7808
Epoch 0 Batch 7/269 - Train Accuracy: 0.2840, Validation Accuracy: 0.3177, Loss: 4.6387
Epoch 0 Batch 8/269 - Train Accuracy: 0.2535, Validation Accuracy: 0.3223, Loss: 4.6668
Epoch 0 Batch 9/269 - Train Accuracy: 0.2866, Validation Accuracy: 0.3283, Loss: 4.4565
Epoch 0 Batch 10/269 - Train Accuracy: 0.2659, Validation Accuracy: 0.3399, Loss: 4.5089
Epoch 0 Batch 11/269 - Train Accuracy: 0.3055, Validation Accuracy: 0.3411, Loss: 4.2574
Epoch 0 Batch 12/269 - Train Accuracy: 0.2791, Validation Accuracy: 0.3421, Loss: 4.3017
Epoch 0 Batch 13/269 - Train Accuracy: 0.3443, Validation Accuracy: 0.3427, Loss: 3.9052
Epoch 0 Batch 14/269 - Train Accuracy: 0.3053, Validation Accuracy: 0.3426, Loss: 4.0173
Epoch 0 Batch 15/269 - Train Accuracy: 0.2960, Validation Accuracy: 0.3426, Loss: 3.9817
Epoch 0 Batch 16/269 - Train Accuracy: 0.3116, Validation Accuracy: 0.3426, Loss: 3.8692
Epoch 0 Batch 17/269 - Train Accuracy: 0.3022, Validation Accuracy: 0.3427, Loss: 3.8145
Epoch 0 Batch 18/269 - Train Accuracy: 0.2711, Validation Accuracy: 0.3427, Loss: 3.8973
Epoch 0 Batch 19/269 - Train Accuracy: 0.3412, Validation Accuracy: 0.3427, Loss: 3.5360
Epoch 0 Batch 20/269 - Train Accuracy: 0.2751, Validation Accuracy: 0.3428, Loss: 3.7738
Epoch 0 Batch 21/269 - Train Accuracy: 0.2934, Validation Accuracy: 0.3593, Loss: 3.7429
Epoch 0 Batch 22/269 - Train Accuracy: 0.3449, Validation Accuracy: 0.3709, Loss: 3.5209
Epoch 0 Batch 23/269 - Train Accuracy: 0.3613, Validation Accuracy: 0.3775, Loss: 3.4517
Epoch 0 Batch 24/269 - Train Accuracy: 0.2949, Validation Accuracy: 0.3622, Loss: 3.5959
Epoch 0 Batch 25/269 - Train Accuracy: 0.2918, Validation Accuracy: 0.3548, Loss: 3.5642
Epoch 0 Batch 26/269 - Train Accuracy: 0.3580, Validation Accuracy: 0.3565, Loss: 3.2350
Epoch 0 Batch 27/269 - Train Accuracy: 0.3185, Validation Accuracy: 0.3538, Loss: 3.3540
Epoch 0 Batch 28/269 - Train Accuracy: 0.3000, Validation Accuracy: 0.3770, Loss: 3.5321
Epoch 0 Batch 29/269 - Train Accuracy: 0.3071, Validation Accuracy: 0.3738, Loss: 3.4388
Epoch 0 Batch 30/269 - Train Accuracy: 0.3344, Validation Accuracy: 0.3734, Loss: 3.2954
Epoch 0 Batch 31/269 - Train Accuracy: 0.3444, Validation Accuracy: 0.3722, Loss: 3.2377
Epoch 0 Batch 32/269 - Train Accuracy: 0.3340, Validation Accuracy: 0.3736, Loss: 3.2550
Epoch 0 Batch 33/269 - Train Accuracy: 0.3449, Validation Accuracy: 0.3738, Loss: 3.1640
Epoch 0 Batch 34/269 - Train Accuracy: 0.3429, Validation Accuracy: 0.3755, Loss: 3.1753
Epoch 0 Batch 35/269 - Train Accuracy: 0.3545, Validation Accuracy: 0.3840, Loss: 3.1487
Epoch 0 Batch 36/269 - Train Accuracy: 0.3724, Validation Accuracy: 0.4056, Loss: 3.1315
Epoch 0 Batch 37/269 - Train Accuracy: 0.4041, Validation Accuracy: 0.4326, Loss: 3.1066
Epoch 0 Batch 38/269 - Train Accuracy: 0.3997, Validation Accuracy: 0.4314, Loss: 3.1051
Epoch 0 Batch 39/269 - Train Accuracy: 0.3948, Validation Accuracy: 0.4229, Loss: 3.0761
Epoch 0 Batch 40/269 - Train Accuracy: 0.3735, Validation Accuracy: 0.4267, Loss: 3.2056
Epoch 0 Batch 41/269 - Train Accuracy: 0.4106, Validation Accuracy: 0.4411, Loss: 3.0601
Epoch 0 Batch 42/269 - Train Accuracy: 0.4292, Validation Accuracy: 0.4330, Loss: 2.9160
Epoch 0 Batch 43/269 - Train Accuracy: 0.3710, Validation Accuracy: 0.4228, Loss: 3.1254
Epoch 0 Batch 44/269 - Train Accuracy: 0.4107, Validation Accuracy: 0.4302, Loss: 2.9973
Epoch 0 Batch 45/269 - Train Accuracy: 0.3903, Validation Accuracy: 0.4442, Loss: 3.1261
Epoch 0 Batch 46/269 - Train Accuracy: 0.3740, Validation Accuracy: 0.4356, Loss: 3.1623
Epoch 0 Batch 47/269 - Train Accuracy: 0.4342, Validation Accuracy: 0.4339, Loss: 2.8194
Epoch 0 Batch 48/269 - Train Accuracy: 0.4222, Validation Accuracy: 0.4490, Loss: 2.9217
Epoch 0 Batch 49/269 - Train Accuracy: 0.3937, Validation Accuracy: 0.4498, Loss: 3.0640
Epoch 0 Batch 50/269 - Train Accuracy: 0.3934, Validation Accuracy: 0.4453, Loss: 3.0595
Epoch 0 Batch 51/269 - Train Accuracy: 0.4178, Validation Accuracy: 0.4533, Loss: 2.9510
Epoch 0 Batch 52/269 - Train Accuracy: 0.4314, Validation Accuracy: 0.4569, Loss: 2.8921
Epoch 0 Batch 53/269 - Train Accuracy: 0.4024, Validation Accuracy: 0.4561, Loss: 3.0218
Epoch 0 Batch 54/269 - Train Accuracy: 0.4037, Validation Accuracy: 0.4557, Loss: 2.9993
Epoch 0 Batch 55/269 - Train Accuracy: 0.4223, Validation Accuracy: 0.4498, Loss: 2.8690
Epoch 0 Batch 56/269 - Train Accuracy: 0.4288, Validation Accuracy: 0.4538, Loss: 2.8517
Epoch 0 Batch 57/269 - Train Accuracy: 0.4171, Validation Accuracy: 0.4425, Loss: 2.8327
Epoch 0 Batch 58/269 - Train Accuracy: 0.4304, Validation Accuracy: 0.4507, Loss: 2.8354
Epoch 0 Batch 59/269 - Train Accuracy: 0.4275, Validation Accuracy: 0.4535, Loss: 2.8191
Epoch 0 Batch 60/269 - Train Accuracy: 0.4328, Validation Accuracy: 0.4500, Loss: 2.7428
Epoch 0 Batch 61/269 - Train Accuracy: 0.4536, Validation Accuracy: 0.4561, Loss: 2.6664
Epoch 0 Batch 62/269 - Train Accuracy: 0.4573, Validation Accuracy: 0.4528, Loss: 2.6864
Epoch 0 Batch 63/269 - Train Accuracy: 0.4329, Validation Accuracy: 0.4609, Loss: 2.7687
Epoch 0 Batch 64/269 - Train Accuracy: 0.4169, Validation Accuracy: 0.4482, Loss: 2.7705
Epoch 0 Batch 65/269 - Train Accuracy: 0.4316, Validation Accuracy: 0.4555, Loss: 2.7464
Epoch 0 Batch 66/269 - Train Accuracy: 0.4489, Validation Accuracy: 0.4585, Loss: 2.6635
Epoch 0 Batch 67/269 - Train Accuracy: 0.4314, Validation Accuracy: 0.4636, Loss: 2.7536
Epoch 0 Batch 68/269 - Train Accuracy: 0.4356, Validation Accuracy: 0.4662, Loss: 2.7344
Epoch 0 Batch 69/269 - Train Accuracy: 0.4077, Validation Accuracy: 0.4640, Loss: 2.8731
Epoch 0 Batch 70/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4681, Loss: 2.6961
Epoch 0 Batch 71/269 - Train Accuracy: 0.4192, Validation Accuracy: 0.4690, Loss: 2.8332
Epoch 0 Batch 72/269 - Train Accuracy: 0.4567, Validation Accuracy: 0.4640, Loss: 2.5873
Epoch 0 Batch 73/269 - Train Accuracy: 0.4391, Validation Accuracy: 0.4645, Loss: 2.6788
Epoch 0 Batch 74/269 - Train Accuracy: 0.4229, Validation Accuracy: 0.4635, Loss: 2.7760
Epoch 0 Batch 75/269 - Train Accuracy: 0.4439, Validation Accuracy: 0.4691, Loss: 2.6535
Epoch 0 Batch 76/269 - Train Accuracy: 0.4336, Validation Accuracy: 0.4685, Loss: 2.7044
Epoch 0 Batch 77/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4665, Loss: 2.6265
Epoch 0 Batch 78/269 - Train Accuracy: 0.4408, Validation Accuracy: 0.4702, Loss: 2.6579
Epoch 0 Batch 79/269 - Train Accuracy: 0.4395, Validation Accuracy: 0.4674, Loss: 2.6439
Epoch 0 Batch 80/269 - Train Accuracy: 0.4524, Validation Accuracy: 0.4719, Loss: 2.5661
Epoch 0 Batch 81/269 - Train Accuracy: 0.4426, Validation Accuracy: 0.4677, Loss: 2.6215
Epoch 0 Batch 82/269 - Train Accuracy: 0.4592, Validation Accuracy: 0.4749, Loss: 2.5633
Epoch 0 Batch 83/269 - Train Accuracy: 0.4453, Validation Accuracy: 0.4672, Loss: 2.5624
Epoch 0 Batch 84/269 - Train Accuracy: 0.4560, Validation Accuracy: 0.4769, Loss: 2.5879
Epoch 0 Batch 85/269 - Train Accuracy: 0.4442, Validation Accuracy: 0.4767, Loss: 2.5916
Epoch 0 Batch 86/269 - Train Accuracy: 0.4494, Validation Accuracy: 0.4728, Loss: 2.5792
Epoch 0 Batch 87/269 - Train Accuracy: 0.3909, Validation Accuracy: 0.4667, Loss: 2.7354
Epoch 0 Batch 88/269 - Train Accuracy: 0.4483, Validation Accuracy: 0.4648, Loss: 2.5689
Epoch 0 Batch 89/269 - Train Accuracy: 0.4643, Validation Accuracy: 0.4801, Loss: 2.5399
Epoch 0 Batch 90/269 - Train Accuracy: 0.4162, Validation Accuracy: 0.4808, Loss: 2.6791
Epoch 0 Batch 91/269 - Train Accuracy: 0.4518, Validation Accuracy: 0.4752, Loss: 2.5248
Epoch 0 Batch 92/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4775, Loss: 2.5198
Epoch 0 Batch 93/269 - Train Accuracy: 0.4743, Validation Accuracy: 0.4825, Loss: 2.4282
Epoch 0 Batch 94/269 - Train Accuracy: 0.4644, Validation Accuracy: 0.4833, Loss: 2.4931
Epoch 0 Batch 95/269 - Train Accuracy: 0.4535, Validation Accuracy: 0.4785, Loss: 2.4889
Epoch 0 Batch 96/269 - Train Accuracy: 0.4553, Validation Accuracy: 0.4794, Loss: 2.4823
Epoch 0 Batch 97/269 - Train Accuracy: 0.4594, Validation Accuracy: 0.4795, Loss: 2.4660
Epoch 0 Batch 98/269 - Train Accuracy: 0.4634, Validation Accuracy: 0.4787, Loss: 2.4319
Epoch 0 Batch 99/269 - Train Accuracy: 0.4300, Validation Accuracy: 0.4834, Loss: 2.5870
Epoch 0 Batch 100/269 - Train Accuracy: 0.4832, Validation Accuracy: 0.4861, Loss: 2.3901
Epoch 0 Batch 101/269 - Train Accuracy: 0.4228, Validation Accuracy: 0.4767, Loss: 2.5665
Epoch 0 Batch 102/269 - Train Accuracy: 0.4592, Validation Accuracy: 0.4829, Loss: 2.4401
Epoch 0 Batch 103/269 - Train Accuracy: 0.4626, Validation Accuracy: 0.4808, Loss: 2.4231
Epoch 0 Batch 104/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4812, Loss: 2.4278
Epoch 0 Batch 105/269 - Train Accuracy: 0.4529, Validation Accuracy: 0.4859, Loss: 2.4338
Epoch 0 Batch 106/269 - Train Accuracy: 0.4544, Validation Accuracy: 0.4901, Loss: 2.4218
Epoch 0 Batch 107/269 - Train Accuracy: 0.4151, Validation Accuracy: 0.4820, Loss: 2.5388
Epoch 0 Batch 108/269 - Train Accuracy: 0.4593, Validation Accuracy: 0.4867, Loss: 2.4064
Epoch 0 Batch 109/269 - Train Accuracy: 0.4541, Validation Accuracy: 0.4866, Loss: 2.3880
Epoch 0 Batch 110/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4838, Loss: 2.3783
Epoch 0 Batch 111/269 - Train Accuracy: 0.4302, Validation Accuracy: 0.4843, Loss: 2.5120
Epoch 0 Batch 112/269 - Train Accuracy: 0.4636, Validation Accuracy: 0.4878, Loss: 2.3477
Epoch 0 Batch 113/269 - Train Accuracy: 0.4832, Validation Accuracy: 0.4885, Loss: 2.2506
Epoch 0 Batch 114/269 - Train Accuracy: 0.4625, Validation Accuracy: 0.4943, Loss: 2.3329
Epoch 0 Batch 115/269 - Train Accuracy: 0.4273, Validation Accuracy: 0.4869, Loss: 2.4452
Epoch 0 Batch 116/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.4956, Loss: 2.3395
Epoch 0 Batch 117/269 - Train Accuracy: 0.4539, Validation Accuracy: 0.4890, Loss: 2.3327
Epoch 0 Batch 118/269 - Train Accuracy: 0.4812, Validation Accuracy: 0.4893, Loss: 2.2513
Epoch 0 Batch 119/269 - Train Accuracy: 0.4500, Validation Accuracy: 0.4916, Loss: 2.4051
Epoch 0 Batch 120/269 - Train Accuracy: 0.4330, Validation Accuracy: 0.4873, Loss: 2.4097
Epoch 0 Batch 121/269 - Train Accuracy: 0.4660, Validation Accuracy: 0.4933, Loss: 2.2843
Epoch 0 Batch 122/269 - Train Accuracy: 0.4748, Validation Accuracy: 0.4905, Loss: 2.2582
Epoch 0 Batch 123/269 - Train Accuracy: 0.4249, Validation Accuracy: 0.4903, Loss: 2.3993
Epoch 0 Batch 124/269 - Train Accuracy: 0.4733, Validation Accuracy: 0.4988, Loss: 2.2576
Epoch 0 Batch 125/269 - Train Accuracy: 0.4540, Validation Accuracy: 0.4867, Loss: 2.2461
Epoch 0 Batch 126/269 - Train Accuracy: 0.4740, Validation Accuracy: 0.4874, Loss: 2.2198
Epoch 0 Batch 127/269 - Train Accuracy: 0.4385, Validation Accuracy: 0.4877, Loss: 2.3597
Epoch 0 Batch 128/269 - Train Accuracy: 0.4765, Validation Accuracy: 0.4909, Loss: 2.2107
Epoch 0 Batch 129/269 - Train Accuracy: 0.4647, Validation Accuracy: 0.4967, Loss: 2.2413
Epoch 0 Batch 130/269 - Train Accuracy: 0.4225, Validation Accuracy: 0.4880, Loss: 2.3685
Epoch 0 Batch 131/269 - Train Accuracy: 0.4521, Validation Accuracy: 0.4938, Loss: 2.3164
Epoch 0 Batch 132/269 - Train Accuracy: 0.4542, Validation Accuracy: 0.4887, Loss: 2.2225
Epoch 0 Batch 133/269 - Train Accuracy: 0.4643, Validation Accuracy: 0.4893, Loss: 2.2018
Epoch 0 Batch 134/269 - Train Accuracy: 0.4339, Validation Accuracy: 0.4901, Loss: 2.2850
Epoch 0 Batch 135/269 - Train Accuracy: 0.4334, Validation Accuracy: 0.4943, Loss: 2.3274
Epoch 0 Batch 136/269 - Train Accuracy: 0.4357, Validation Accuracy: 0.4969, Loss: 2.3018
Epoch 0 Batch 137/269 - Train Accuracy: 0.4520, Validation Accuracy: 0.4996, Loss: 2.2673
Epoch 0 Batch 138/269 - Train Accuracy: 0.4590, Validation Accuracy: 0.4990, Loss: 2.2216
Epoch 0 Batch 139/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4846, Loss: 2.1255
Epoch 0 Batch 140/269 - Train Accuracy: 0.4696, Validation Accuracy: 0.4887, Loss: 2.1456
Epoch 0 Batch 141/269 - Train Accuracy: 0.4524, Validation Accuracy: 0.4873, Loss: 2.1877
Epoch 0 Batch 142/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4901, Loss: 2.1138
Epoch 0 Batch 143/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5041, Loss: 2.1328
Epoch 0 Batch 144/269 - Train Accuracy: 0.4688, Validation Accuracy: 0.4956, Loss: 2.1164
Epoch 0 Batch 145/269 - Train Accuracy: 0.4659, Validation Accuracy: 0.4980, Loss: 2.1204
Epoch 0 Batch 146/269 - Train Accuracy: 0.4694, Validation Accuracy: 0.4957, Loss: 2.0783
Epoch 0 Batch 147/269 - Train Accuracy: 0.4866, Validation Accuracy: 0.4907, Loss: 1.9982
Epoch 0 Batch 148/269 - Train Accuracy: 0.4584, Validation Accuracy: 0.4897, Loss: 2.1440
Epoch 0 Batch 149/269 - Train Accuracy: 0.4584, Validation Accuracy: 0.4837, Loss: 2.0843
Epoch 0 Batch 150/269 - Train Accuracy: 0.4765, Validation Accuracy: 0.5033, Loss: 2.0900
Epoch 0 Batch 151/269 - Train Accuracy: 0.5154, Validation Accuracy: 0.5090, Loss: 1.9720
Epoch 0 Batch 152/269 - Train Accuracy: 0.4475, Validation Accuracy: 0.4810, Loss: 2.0803
Epoch 0 Batch 153/269 - Train Accuracy: 0.4792, Validation Accuracy: 0.5021, Loss: 2.0697
Epoch 0 Batch 154/269 - Train Accuracy: 0.4464, Validation Accuracy: 0.5036, Loss: 2.1562
Epoch 0 Batch 155/269 - Train Accuracy: 0.4896, Validation Accuracy: 0.4917, Loss: 1.9451
Epoch 0 Batch 156/269 - Train Accuracy: 0.4604, Validation Accuracy: 0.5016, Loss: 2.1030
Epoch 0 Batch 157/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.5053, Loss: 2.0173
Epoch 0 Batch 158/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4947, Loss: 2.0127
Epoch 0 Batch 159/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5114, Loss: 2.0261
Epoch 0 Batch 160/269 - Train Accuracy: 0.4826, Validation Accuracy: 0.5043, Loss: 2.0013
Epoch 0 Batch 161/269 - Train Accuracy: 0.4679, Validation Accuracy: 0.5061, Loss: 2.0274
Epoch 0 Batch 162/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.5065, Loss: 1.9795
Epoch 0 Batch 163/269 - Train Accuracy: 0.4825, Validation Accuracy: 0.4974, Loss: 1.9755
Epoch 0 Batch 164/269 - Train Accuracy: 0.4781, Validation Accuracy: 0.5002, Loss: 1.9787
Epoch 0 Batch 165/269 - Train Accuracy: 0.4405, Validation Accuracy: 0.5030, Loss: 2.0453
Epoch 0 Batch 166/269 - Train Accuracy: 0.5074, Validation Accuracy: 0.5052, Loss: 1.8504
Epoch 0 Batch 167/269 - Train Accuracy: 0.4816, Validation Accuracy: 0.5042, Loss: 1.9344
Epoch 0 Batch 168/269 - Train Accuracy: 0.4781, Validation Accuracy: 0.5061, Loss: 1.9711
Epoch 0 Batch 169/269 - Train Accuracy: 0.4710, Validation Accuracy: 0.5055, Loss: 1.9376
Epoch 0 Batch 170/269 - Train Accuracy: 0.4810, Validation Accuracy: 0.5049, Loss: 1.9275
Epoch 0 Batch 171/269 - Train Accuracy: 0.4613, Validation Accuracy: 0.5061, Loss: 1.9937
Epoch 0 Batch 172/269 - Train Accuracy: 0.4725, Validation Accuracy: 0.5044, Loss: 1.9269
Epoch 0 Batch 173/269 - Train Accuracy: 0.4841, Validation Accuracy: 0.5056, Loss: 1.9184
Epoch 0 Batch 174/269 - Train Accuracy: 0.4772, Validation Accuracy: 0.5059, Loss: 1.9011
Epoch 0 Batch 175/269 - Train Accuracy: 0.4803, Validation Accuracy: 0.5057, Loss: 1.9028
Epoch 0 Batch 176/269 - Train Accuracy: 0.4554, Validation Accuracy: 0.5078, Loss: 1.9795
Epoch 0 Batch 177/269 - Train Accuracy: 0.4978, Validation Accuracy: 0.5082, Loss: 1.8110
Epoch 0 Batch 178/269 - Train Accuracy: 0.4521, Validation Accuracy: 0.5022, Loss: 1.9472
Epoch 0 Batch 179/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5054, Loss: 1.8743
Epoch 0 Batch 180/269 - Train Accuracy: 0.4795, Validation Accuracy: 0.5079, Loss: 1.8519
Epoch 0 Batch 181/269 - Train Accuracy: 0.4735, Validation Accuracy: 0.5038, Loss: 1.8517
Epoch 0 Batch 182/269 - Train Accuracy: 0.4714, Validation Accuracy: 0.4980, Loss: 1.8445
Epoch 0 Batch 183/269 - Train Accuracy: 0.5439, Validation Accuracy: 0.5050, Loss: 1.6045
Epoch 0 Batch 184/269 - Train Accuracy: 0.4519, Validation Accuracy: 0.5032, Loss: 1.9131
Epoch 0 Batch 185/269 - Train Accuracy: 0.4784, Validation Accuracy: 0.4946, Loss: 1.7946
Epoch 0 Batch 186/269 - Train Accuracy: 0.4418, Validation Accuracy: 0.5004, Loss: 1.8988
Epoch 0 Batch 187/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5076, Loss: 1.7731
Epoch 0 Batch 188/269 - Train Accuracy: 0.4772, Validation Accuracy: 0.4932, Loss: 1.7594
Epoch 0 Batch 189/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.4894, Loss: 1.7817
Epoch 0 Batch 190/269 - Train Accuracy: 0.4726, Validation Accuracy: 0.4995, Loss: 1.7856
Epoch 0 Batch 191/269 - Train Accuracy: 0.4691, Validation Accuracy: 0.4947, Loss: 1.8049
Epoch 0 Batch 192/269 - Train Accuracy: 0.4657, Validation Accuracy: 0.4936, Loss: 1.7889
Epoch 0 Batch 193/269 - Train Accuracy: 0.4679, Validation Accuracy: 0.4997, Loss: 1.7817
Epoch 0 Batch 194/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5016, Loss: 1.7762
Epoch 0 Batch 195/269 - Train Accuracy: 0.4463, Validation Accuracy: 0.4935, Loss: 1.7943
Epoch 0 Batch 196/269 - Train Accuracy: 0.4695, Validation Accuracy: 0.5046, Loss: 1.7555
Epoch 0 Batch 197/269 - Train Accuracy: 0.4510, Validation Accuracy: 0.5016, Loss: 1.8267
Epoch 0 Batch 198/269 - Train Accuracy: 0.4416, Validation Accuracy: 0.5028, Loss: 1.8514
Epoch 0 Batch 199/269 - Train Accuracy: 0.4674, Validation Accuracy: 0.5017, Loss: 1.7778
Epoch 0 Batch 200/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4963, Loss: 1.7987
Epoch 0 Batch 201/269 - Train Accuracy: 0.4713, Validation Accuracy: 0.4920, Loss: 1.7334
Epoch 0 Batch 202/269 - Train Accuracy: 0.4627, Validation Accuracy: 0.4964, Loss: 1.7393
Epoch 0 Batch 203/269 - Train Accuracy: 0.4546, Validation Accuracy: 0.5059, Loss: 1.7906
Epoch 0 Batch 204/269 - Train Accuracy: 0.4386, Validation Accuracy: 0.5001, Loss: 1.7837
Epoch 0 Batch 205/269 - Train Accuracy: 0.4622, Validation Accuracy: 0.4988, Loss: 1.7089
Epoch 0 Batch 206/269 - Train Accuracy: 0.4458, Validation Accuracy: 0.4969, Loss: 1.8048
Epoch 0 Batch 207/269 - Train Accuracy: 0.4854, Validation Accuracy: 0.4987, Loss: 1.6408
Epoch 0 Batch 208/269 - Train Accuracy: 0.4493, Validation Accuracy: 0.5012, Loss: 1.8011
Epoch 0 Batch 209/269 - Train Accuracy: 0.4514, Validation Accuracy: 0.5012, Loss: 1.7525
Epoch 0 Batch 210/269 - Train Accuracy: 0.4753, Validation Accuracy: 0.4995, Loss: 1.6736
Epoch 0 Batch 211/269 - Train Accuracy: 0.4617, Validation Accuracy: 0.4920, Loss: 1.6723
Epoch 0 Batch 212/269 - Train Accuracy: 0.4848, Validation Accuracy: 0.4926, Loss: 1.6403
Epoch 0 Batch 213/269 - Train Accuracy: 0.4710, Validation Accuracy: 0.4933, Loss: 1.6537
Epoch 0 Batch 214/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.4975, Loss: 1.6544
Epoch 0 Batch 215/269 - Train Accuracy: 0.5044, Validation Accuracy: 0.5008, Loss: 1.5673
Epoch 0 Batch 216/269 - Train Accuracy: 0.4540, Validation Accuracy: 0.5098, Loss: 1.7664
Epoch 0 Batch 217/269 - Train Accuracy: 0.4437, Validation Accuracy: 0.5000, Loss: 1.7360
Epoch 0 Batch 218/269 - Train Accuracy: 0.4557, Validation Accuracy: 0.5020, Loss: 1.7402
Epoch 0 Batch 219/269 - Train Accuracy: 0.4651, Validation Accuracy: 0.5099, Loss: 1.6977
Epoch 0 Batch 220/269 - Train Accuracy: 0.4873, Validation Accuracy: 0.5036, Loss: 1.5883
Epoch 0 Batch 221/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5026, Loss: 1.6270
Epoch 0 Batch 222/269 - Train Accuracy: 0.4880, Validation Accuracy: 0.5114, Loss: 1.5873
Epoch 0 Batch 223/269 - Train Accuracy: 0.4909, Validation Accuracy: 0.5107, Loss: 1.5858
Epoch 0 Batch 224/269 - Train Accuracy: 0.4877, Validation Accuracy: 0.5091, Loss: 1.6209
Epoch 0 Batch 225/269 - Train Accuracy: 0.4697, Validation Accuracy: 0.5173, Loss: 1.6816
Epoch 0 Batch 226/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5190, Loss: 1.6094
Epoch 0 Batch 227/269 - Train Accuracy: 0.5532, Validation Accuracy: 0.5041, Loss: 1.4092
Epoch 0 Batch 228/269 - Train Accuracy: 0.4762, Validation Accuracy: 0.5044, Loss: 1.6186
Epoch 0 Batch 229/269 - Train Accuracy: 0.4874, Validation Accuracy: 0.5075, Loss: 1.5995
Epoch 0 Batch 230/269 - Train Accuracy: 0.4752, Validation Accuracy: 0.5102, Loss: 1.6093
Epoch 0 Batch 231/269 - Train Accuracy: 0.4511, Validation Accuracy: 0.5074, Loss: 1.6736
Epoch 0 Batch 232/269 - Train Accuracy: 0.4497, Validation Accuracy: 0.5153, Loss: 1.6503
Epoch 0 Batch 233/269 - Train Accuracy: 0.4920, Validation Accuracy: 0.5131, Loss: 1.5962
Epoch 0 Batch 234/269 - Train Accuracy: 0.4693, Validation Accuracy: 0.4998, Loss: 1.5909
Epoch 0 Batch 235/269 - Train Accuracy: 0.4865, Validation Accuracy: 0.5063, Loss: 1.5873
Epoch 0 Batch 236/269 - Train Accuracy: 0.4829, Validation Accuracy: 0.5138, Loss: 1.5768
Epoch 0 Batch 237/269 - Train Accuracy: 0.4703, Validation Accuracy: 0.4983, Loss: 1.5737
Epoch 0 Batch 238/269 - Train Accuracy: 0.4821, Validation Accuracy: 0.5080, Loss: 1.5841
Epoch 0 Batch 239/269 - Train Accuracy: 0.5036, Validation Accuracy: 0.5198, Loss: 1.5568
Epoch 0 Batch 240/269 - Train Accuracy: 0.5234, Validation Accuracy: 0.5187, Loss: 1.4530
Epoch 0 Batch 241/269 - Train Accuracy: 0.4871, Validation Accuracy: 0.5055, Loss: 1.5444
Epoch 0 Batch 242/269 - Train Accuracy: 0.4754, Validation Accuracy: 0.5078, Loss: 1.5449
Epoch 0 Batch 243/269 - Train Accuracy: 0.4949, Validation Accuracy: 0.5028, Loss: 1.5163
Epoch 0 Batch 244/269 - Train Accuracy: 0.4731, Validation Accuracy: 0.5044, Loss: 1.5339
Epoch 0 Batch 245/269 - Train Accuracy: 0.4757, Validation Accuracy: 0.5177, Loss: 1.6176
Epoch 0 Batch 246/269 - Train Accuracy: 0.4906, Validation Accuracy: 0.5224, Loss: 1.5399
Epoch 0 Batch 247/269 - Train Accuracy: 0.4662, Validation Accuracy: 0.5143, Loss: 1.5879
Epoch 0 Batch 248/269 - Train Accuracy: 0.4799, Validation Accuracy: 0.5177, Loss: 1.5336
Epoch 0 Batch 249/269 - Train Accuracy: 0.5236, Validation Accuracy: 0.5187, Loss: 1.4682
Epoch 0 Batch 250/269 - Train Accuracy: 0.4615, Validation Accuracy: 0.5037, Loss: 1.5743
Epoch 0 Batch 251/269 - Train Accuracy: 0.4787, Validation Accuracy: 0.4991, Loss: 1.5016
Epoch 0 Batch 252/269 - Train Accuracy: 0.4759, Validation Accuracy: 0.5089, Loss: 1.5430
Epoch 0 Batch 253/269 - Train Accuracy: 0.4688, Validation Accuracy: 0.5004, Loss: 1.5157
Epoch 0 Batch 254/269 - Train Accuracy: 0.4678, Validation Accuracy: 0.5006, Loss: 1.4929
Epoch 0 Batch 255/269 - Train Accuracy: 0.5247, Validation Accuracy: 0.5201, Loss: 1.4474
Epoch 0 Batch 256/269 - Train Accuracy: 0.4750, Validation Accuracy: 0.5207, Loss: 1.5282
Epoch 0 Batch 257/269 - Train Accuracy: 0.4726, Validation Accuracy: 0.5086, Loss: 1.5025
Epoch 0 Batch 258/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5196, Loss: 1.5079
Epoch 0 Batch 259/269 - Train Accuracy: 0.4998, Validation Accuracy: 0.5186, Loss: 1.4843
Epoch 0 Batch 260/269 - Train Accuracy: 0.4678, Validation Accuracy: 0.5131, Loss: 1.5561
Epoch 0 Batch 261/269 - Train Accuracy: 0.4491, Validation Accuracy: 0.5167, Loss: 1.5744
Epoch 0 Batch 262/269 - Train Accuracy: 0.5025, Validation Accuracy: 0.5246, Loss: 1.4893
Epoch 0 Batch 263/269 - Train Accuracy: 0.4700, Validation Accuracy: 0.5151, Loss: 1.5379
Epoch 0 Batch 264/269 - Train Accuracy: 0.4733, Validation Accuracy: 0.5154, Loss: 1.5540
Epoch 0 Batch 265/269 - Train Accuracy: 0.4671, Validation Accuracy: 0.5162, Loss: 1.5159
Epoch 0 Batch 266/269 - Train Accuracy: 0.4850, Validation Accuracy: 0.5132, Loss: 1.4385
Epoch 0 Batch 267/269 - Train Accuracy: 0.4870, Validation Accuracy: 0.5152, Loss: 1.4830
Epoch 1 Batch 1/269 - Train Accuracy: 0.4578, Validation Accuracy: 0.5124, Loss: 1.5173
Epoch 1 Batch 2/269 - Train Accuracy: 0.4770, Validation Accuracy: 0.5179, Loss: 1.4861
Epoch 1 Batch 3/269 - Train Accuracy: 0.4776, Validation Accuracy: 0.5239, Loss: 1.5178
Epoch 1 Batch 4/269 - Train Accuracy: 0.4629, Validation Accuracy: 0.5182, Loss: 1.4998
Epoch 1 Batch 5/269 - Train Accuracy: 0.4606, Validation Accuracy: 0.5154, Loss: 1.5138
Epoch 1 Batch 6/269 - Train Accuracy: 0.5093, Validation Accuracy: 0.5224, Loss: 1.3856
Epoch 1 Batch 7/269 - Train Accuracy: 0.5007, Validation Accuracy: 0.5173, Loss: 1.4242
Epoch 1 Batch 8/269 - Train Accuracy: 0.4653, Validation Accuracy: 0.5142, Loss: 1.4902
Epoch 1 Batch 9/269 - Train Accuracy: 0.4914, Validation Accuracy: 0.5274, Loss: 1.4322
Epoch 1 Batch 10/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.5248, Loss: 1.4527
Epoch 1 Batch 11/269 - Train Accuracy: 0.4871, Validation Accuracy: 0.5171, Loss: 1.4371
Epoch 1 Batch 12/269 - Train Accuracy: 0.4708, Validation Accuracy: 0.5233, Loss: 1.4897
Epoch 1 Batch 13/269 - Train Accuracy: 0.5309, Validation Accuracy: 0.5229, Loss: 1.3260
Epoch 1 Batch 14/269 - Train Accuracy: 0.4819, Validation Accuracy: 0.5201, Loss: 1.4111
Epoch 1 Batch 15/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5208, Loss: 1.4087
Epoch 1 Batch 16/269 - Train Accuracy: 0.5103, Validation Accuracy: 0.5225, Loss: 1.4071
Epoch 1 Batch 17/269 - Train Accuracy: 0.4881, Validation Accuracy: 0.5168, Loss: 1.3855
Epoch 1 Batch 18/269 - Train Accuracy: 0.4731, Validation Accuracy: 0.5265, Loss: 1.4501
Epoch 1 Batch 19/269 - Train Accuracy: 0.5173, Validation Accuracy: 0.5218, Loss: 1.3269
Epoch 1 Batch 20/269 - Train Accuracy: 0.4727, Validation Accuracy: 0.5167, Loss: 1.4447
Epoch 1 Batch 21/269 - Train Accuracy: 0.4713, Validation Accuracy: 0.5188, Loss: 1.4829
Epoch 1 Batch 22/269 - Train Accuracy: 0.5033, Validation Accuracy: 0.5286, Loss: 1.3776
Epoch 1 Batch 23/269 - Train Accuracy: 0.5086, Validation Accuracy: 0.5264, Loss: 1.3966
Epoch 1 Batch 24/269 - Train Accuracy: 0.4823, Validation Accuracy: 0.5302, Loss: 1.4430
Epoch 1 Batch 25/269 - Train Accuracy: 0.4813, Validation Accuracy: 0.5289, Loss: 1.4339
Epoch 1 Batch 26/269 - Train Accuracy: 0.5320, Validation Accuracy: 0.5278, Loss: 1.2937
Epoch 1 Batch 27/269 - Train Accuracy: 0.5010, Validation Accuracy: 0.5270, Loss: 1.3879
Epoch 1 Batch 28/269 - Train Accuracy: 0.4641, Validation Accuracy: 0.5305, Loss: 1.4522
Epoch 1 Batch 29/269 - Train Accuracy: 0.4846, Validation Accuracy: 0.5266, Loss: 1.4151
Epoch 1 Batch 30/269 - Train Accuracy: 0.5170, Validation Accuracy: 0.5293, Loss: 1.3502
Epoch 1 Batch 31/269 - Train Accuracy: 0.5190, Validation Accuracy: 0.5298, Loss: 1.3540
Epoch 1 Batch 32/269 - Train Accuracy: 0.5052, Validation Accuracy: 0.5289, Loss: 1.3668
Epoch 1 Batch 33/269 - Train Accuracy: 0.5156, Validation Accuracy: 0.5265, Loss: 1.3221
Epoch 1 Batch 34/269 - Train Accuracy: 0.5068, Validation Accuracy: 0.5234, Loss: 1.3394
Epoch 1 Batch 35/269 - Train Accuracy: 0.5145, Validation Accuracy: 0.5264, Loss: 1.3366
Epoch 1 Batch 36/269 - Train Accuracy: 0.5091, Validation Accuracy: 0.5294, Loss: 1.3483
Epoch 1 Batch 37/269 - Train Accuracy: 0.5099, Validation Accuracy: 0.5272, Loss: 1.3561
Epoch 1 Batch 38/269 - Train Accuracy: 0.5026, Validation Accuracy: 0.5334, Loss: 1.3389
Epoch 1 Batch 39/269 - Train Accuracy: 0.5118, Validation Accuracy: 0.5359, Loss: 1.3292
Epoch 1 Batch 40/269 - Train Accuracy: 0.4847, Validation Accuracy: 0.5328, Loss: 1.3791
Epoch 1 Batch 41/269 - Train Accuracy: 0.5032, Validation Accuracy: 0.5368, Loss: 1.3396
Epoch 1 Batch 42/269 - Train Accuracy: 0.5240, Validation Accuracy: 0.5301, Loss: 1.2667
Epoch 1 Batch 43/269 - Train Accuracy: 0.4943, Validation Accuracy: 0.5312, Loss: 1.3673
Epoch 1 Batch 44/269 - Train Accuracy: 0.5183, Validation Accuracy: 0.5295, Loss: 1.3219
Epoch 1 Batch 45/269 - Train Accuracy: 0.4843, Validation Accuracy: 0.5310, Loss: 1.3685
Epoch 1 Batch 46/269 - Train Accuracy: 0.4847, Validation Accuracy: 0.5297, Loss: 1.3813
Epoch 1 Batch 47/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5237, Loss: 1.2289
Epoch 1 Batch 48/269 - Train Accuracy: 0.5096, Validation Accuracy: 0.5287, Loss: 1.2803
Epoch 1 Batch 49/269 - Train Accuracy: 0.4905, Validation Accuracy: 0.5281, Loss: 1.3439
Epoch 1 Batch 50/269 - Train Accuracy: 0.4937, Validation Accuracy: 0.5319, Loss: 1.3615
Epoch 1 Batch 51/269 - Train Accuracy: 0.5028, Validation Accuracy: 0.5324, Loss: 1.3248
Epoch 1 Batch 52/269 - Train Accuracy: 0.5133, Validation Accuracy: 0.5352, Loss: 1.2844
Epoch 1 Batch 53/269 - Train Accuracy: 0.4928, Validation Accuracy: 0.5340, Loss: 1.3577
Epoch 1 Batch 54/269 - Train Accuracy: 0.5051, Validation Accuracy: 0.5365, Loss: 1.3459
Epoch 1 Batch 55/269 - Train Accuracy: 0.5168, Validation Accuracy: 0.5279, Loss: 1.2844
Epoch 1 Batch 56/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5268, Loss: 1.2918
Epoch 1 Batch 57/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5327, Loss: 1.2972
Epoch 1 Batch 58/269 - Train Accuracy: 0.5199, Validation Accuracy: 0.5373, Loss: 1.2715
Epoch 1 Batch 59/269 - Train Accuracy: 0.5233, Validation Accuracy: 0.5286, Loss: 1.2571
Epoch 1 Batch 60/269 - Train Accuracy: 0.5265, Validation Accuracy: 0.5347, Loss: 1.2262
Epoch 1 Batch 61/269 - Train Accuracy: 0.5361, Validation Accuracy: 0.5281, Loss: 1.2051
Epoch 1 Batch 62/269 - Train Accuracy: 0.5272, Validation Accuracy: 0.5298, Loss: 1.2338
Epoch 1 Batch 63/269 - Train Accuracy: 0.5114, Validation Accuracy: 0.5367, Loss: 1.2770
Epoch 1 Batch 64/269 - Train Accuracy: 0.5127, Validation Accuracy: 0.5349, Loss: 1.2611
Epoch 1 Batch 65/269 - Train Accuracy: 0.5127, Validation Accuracy: 0.5249, Loss: 1.2410
Epoch 1 Batch 66/269 - Train Accuracy: 0.5204, Validation Accuracy: 0.5251, Loss: 1.2163
Epoch 1 Batch 67/269 - Train Accuracy: 0.5053, Validation Accuracy: 0.5330, Loss: 1.2713
Epoch 1 Batch 68/269 - Train Accuracy: 0.5068, Validation Accuracy: 0.5275, Loss: 1.2711
Epoch 1 Batch 69/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5239, Loss: 1.3526
Epoch 1 Batch 70/269 - Train Accuracy: 0.5206, Validation Accuracy: 0.5303, Loss: 1.2386
Epoch 1 Batch 71/269 - Train Accuracy: 0.5042, Validation Accuracy: 0.5400, Loss: 1.3001
Epoch 1 Batch 72/269 - Train Accuracy: 0.5389, Validation Accuracy: 0.5385, Loss: 1.2084
Epoch 1 Batch 73/269 - Train Accuracy: 0.5192, Validation Accuracy: 0.5384, Loss: 1.2706
Epoch 1 Batch 74/269 - Train Accuracy: 0.5048, Validation Accuracy: 0.5321, Loss: 1.2664
Epoch 1 Batch 75/269 - Train Accuracy: 0.5126, Validation Accuracy: 0.5297, Loss: 1.2339
Epoch 1 Batch 76/269 - Train Accuracy: 0.5047, Validation Accuracy: 0.5330, Loss: 1.2541
Epoch 1 Batch 77/269 - Train Accuracy: 0.5293, Validation Accuracy: 0.5373, Loss: 1.2328
Epoch 1 Batch 78/269 - Train Accuracy: 0.5172, Validation Accuracy: 0.5392, Loss: 1.2384
Epoch 1 Batch 79/269 - Train Accuracy: 0.5327, Validation Accuracy: 0.5433, Loss: 1.2188
Epoch 1 Batch 80/269 - Train Accuracy: 0.5446, Validation Accuracy: 0.5426, Loss: 1.2055
Epoch 1 Batch 81/269 - Train Accuracy: 0.5202, Validation Accuracy: 0.5396, Loss: 1.2422
Epoch 1 Batch 82/269 - Train Accuracy: 0.5255, Validation Accuracy: 0.5356, Loss: 1.1858
Epoch 1 Batch 83/269 - Train Accuracy: 0.5405, Validation Accuracy: 0.5405, Loss: 1.1962
Epoch 1 Batch 84/269 - Train Accuracy: 0.5362, Validation Accuracy: 0.5450, Loss: 1.1919
Epoch 1 Batch 85/269 - Train Accuracy: 0.5156, Validation Accuracy: 0.5373, Loss: 1.2125
Epoch 1 Batch 86/269 - Train Accuracy: 0.5019, Validation Accuracy: 0.5384, Loss: 1.2269
Epoch 1 Batch 87/269 - Train Accuracy: 0.4930, Validation Accuracy: 0.5391, Loss: 1.2869
Epoch 1 Batch 88/269 - Train Accuracy: 0.5162, Validation Accuracy: 0.5389, Loss: 1.2094
Epoch 1 Batch 89/269 - Train Accuracy: 0.5236, Validation Accuracy: 0.5407, Loss: 1.1959
Epoch 1 Batch 90/269 - Train Accuracy: 0.4823, Validation Accuracy: 0.5463, Loss: 1.2748
Epoch 1 Batch 91/269 - Train Accuracy: 0.5193, Validation Accuracy: 0.5422, Loss: 1.1914
Epoch 1 Batch 92/269 - Train Accuracy: 0.5174, Validation Accuracy: 0.5405, Loss: 1.1907
Epoch 1 Batch 93/269 - Train Accuracy: 0.5455, Validation Accuracy: 0.5389, Loss: 1.1464
Epoch 1 Batch 94/269 - Train Accuracy: 0.5210, Validation Accuracy: 0.5391, Loss: 1.2105
Epoch 1 Batch 95/269 - Train Accuracy: 0.5254, Validation Accuracy: 0.5440, Loss: 1.1873
Epoch 1 Batch 96/269 - Train Accuracy: 0.5238, Validation Accuracy: 0.5435, Loss: 1.1711
Epoch 1 Batch 97/269 - Train Accuracy: 0.5278, Validation Accuracy: 0.5484, Loss: 1.1873
Epoch 1 Batch 98/269 - Train Accuracy: 0.5403, Validation Accuracy: 0.5395, Loss: 1.1517
Epoch 1 Batch 99/269 - Train Accuracy: 0.5115, Validation Accuracy: 0.5468, Loss: 1.2289
Epoch 1 Batch 100/269 - Train Accuracy: 0.5341, Validation Accuracy: 0.5474, Loss: 1.1421
Epoch 1 Batch 101/269 - Train Accuracy: 0.5041, Validation Accuracy: 0.5434, Loss: 1.2313
Epoch 1 Batch 102/269 - Train Accuracy: 0.5322, Validation Accuracy: 0.5446, Loss: 1.1567
Epoch 1 Batch 103/269 - Train Accuracy: 0.5288, Validation Accuracy: 0.5493, Loss: 1.1628
Epoch 1 Batch 104/269 - Train Accuracy: 0.5183, Validation Accuracy: 0.5488, Loss: 1.1714
Epoch 1 Batch 105/269 - Train Accuracy: 0.5177, Validation Accuracy: 0.5410, Loss: 1.1737
Epoch 1 Batch 106/269 - Train Accuracy: 0.5115, Validation Accuracy: 0.5361, Loss: 1.1566
Epoch 1 Batch 107/269 - Train Accuracy: 0.4899, Validation Accuracy: 0.5410, Loss: 1.2103
Epoch 1 Batch 108/269 - Train Accuracy: 0.5280, Validation Accuracy: 0.5468, Loss: 1.1464
Epoch 1 Batch 109/269 - Train Accuracy: 0.5089, Validation Accuracy: 0.5400, Loss: 1.1637
Epoch 1 Batch 110/269 - Train Accuracy: 0.5281, Validation Accuracy: 0.5470, Loss: 1.1414
Epoch 1 Batch 111/269 - Train Accuracy: 0.5038, Validation Accuracy: 0.5520, Loss: 1.2321
Epoch 1 Batch 112/269 - Train Accuracy: 0.5406, Validation Accuracy: 0.5542, Loss: 1.1404
Epoch 1 Batch 113/269 - Train Accuracy: 0.5471, Validation Accuracy: 0.5484, Loss: 1.0933
Epoch 1 Batch 114/269 - Train Accuracy: 0.5290, Validation Accuracy: 0.5513, Loss: 1.1349
Epoch 1 Batch 115/269 - Train Accuracy: 0.5157, Validation Accuracy: 0.5532, Loss: 1.1670
Epoch 1 Batch 116/269 - Train Accuracy: 0.5325, Validation Accuracy: 0.5490, Loss: 1.1376
Epoch 1 Batch 117/269 - Train Accuracy: 0.5307, Validation Accuracy: 0.5476, Loss: 1.1233
Epoch 1 Batch 118/269 - Train Accuracy: 0.5481, Validation Accuracy: 0.5445, Loss: 1.0962
Epoch 1 Batch 119/269 - Train Accuracy: 0.5219, Validation Accuracy: 0.5491, Loss: 1.1848
Epoch 1 Batch 120/269 - Train Accuracy: 0.5135, Validation Accuracy: 0.5429, Loss: 1.1698
Epoch 1 Batch 121/269 - Train Accuracy: 0.5230, Validation Accuracy: 0.5437, Loss: 1.1113
Epoch 1 Batch 122/269 - Train Accuracy: 0.5407, Validation Accuracy: 0.5507, Loss: 1.1070
Epoch 1 Batch 123/269 - Train Accuracy: 0.5110, Validation Accuracy: 0.5519, Loss: 1.1692
Epoch 1 Batch 124/269 - Train Accuracy: 0.5365, Validation Accuracy: 0.5513, Loss: 1.0877
Epoch 1 Batch 125/269 - Train Accuracy: 0.5352, Validation Accuracy: 0.5500, Loss: 1.0886
Epoch 1 Batch 126/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5483, Loss: 1.0868
Epoch 1 Batch 127/269 - Train Accuracy: 0.5059, Validation Accuracy: 0.5532, Loss: 1.1649
Epoch 1 Batch 128/269 - Train Accuracy: 0.5553, Validation Accuracy: 0.5557, Loss: 1.0968
Epoch 1 Batch 129/269 - Train Accuracy: 0.5322, Validation Accuracy: 0.5566, Loss: 1.1141
Epoch 1 Batch 130/269 - Train Accuracy: 0.5118, Validation Accuracy: 0.5536, Loss: 1.1695
Epoch 1 Batch 131/269 - Train Accuracy: 0.5255, Validation Accuracy: 0.5554, Loss: 1.1379
Epoch 1 Batch 132/269 - Train Accuracy: 0.5402, Validation Accuracy: 0.5562, Loss: 1.0957
Epoch 1 Batch 133/269 - Train Accuracy: 0.5346, Validation Accuracy: 0.5562, Loss: 1.0787
Epoch 1 Batch 134/269 - Train Accuracy: 0.5075, Validation Accuracy: 0.5586, Loss: 1.1410
Epoch 1 Batch 135/269 - Train Accuracy: 0.5038, Validation Accuracy: 0.5588, Loss: 1.1655
Epoch 1 Batch 136/269 - Train Accuracy: 0.5054, Validation Accuracy: 0.5555, Loss: 1.1622
Epoch 1 Batch 137/269 - Train Accuracy: 0.5239, Validation Accuracy: 0.5510, Loss: 1.1416
Epoch 1 Batch 138/269 - Train Accuracy: 0.5265, Validation Accuracy: 0.5529, Loss: 1.1155
Epoch 1 Batch 139/269 - Train Accuracy: 0.5494, Validation Accuracy: 0.5547, Loss: 1.0586
Epoch 1 Batch 140/269 - Train Accuracy: 0.5415, Validation Accuracy: 0.5519, Loss: 1.0887
Epoch 1 Batch 141/269 - Train Accuracy: 0.5302, Validation Accuracy: 0.5517, Loss: 1.0956
Epoch 1 Batch 142/269 - Train Accuracy: 0.5418, Validation Accuracy: 0.5531, Loss: 1.0588
Epoch 1 Batch 143/269 - Train Accuracy: 0.5309, Validation Accuracy: 0.5478, Loss: 1.0717
Epoch 1 Batch 144/269 - Train Accuracy: 0.5303, Validation Accuracy: 0.5425, Loss: 1.0552
Epoch 1 Batch 145/269 - Train Accuracy: 0.5318, Validation Accuracy: 0.5489, Loss: 1.0685
Epoch 1 Batch 146/269 - Train Accuracy: 0.5253, Validation Accuracy: 0.5488, Loss: 1.0495
Epoch 1 Batch 147/269 - Train Accuracy: 0.5534, Validation Accuracy: 0.5498, Loss: 1.0186
Epoch 1 Batch 148/269 - Train Accuracy: 0.5218, Validation Accuracy: 0.5534, Loss: 1.0933
Epoch 1 Batch 149/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5515, Loss: 1.0729
Epoch 1 Batch 150/269 - Train Accuracy: 0.5388, Validation Accuracy: 0.5525, Loss: 1.0704
Epoch 1 Batch 151/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5549, Loss: 1.0256
Epoch 1 Batch 152/269 - Train Accuracy: 0.5373, Validation Accuracy: 0.5526, Loss: 1.0552
Epoch 1 Batch 153/269 - Train Accuracy: 0.5429, Validation Accuracy: 0.5517, Loss: 1.0532
Epoch 1 Batch 154/269 - Train Accuracy: 0.5155, Validation Accuracy: 0.5524, Loss: 1.0900
Epoch 1 Batch 155/269 - Train Accuracy: 0.5643, Validation Accuracy: 0.5528, Loss: 0.9941
Epoch 1 Batch 156/269 - Train Accuracy: 0.5262, Validation Accuracy: 0.5570, Loss: 1.0889
Epoch 1 Batch 157/269 - Train Accuracy: 0.5375, Validation Accuracy: 0.5607, Loss: 1.0442
Epoch 1 Batch 158/269 - Train Accuracy: 0.5394, Validation Accuracy: 0.5615, Loss: 1.0360
Epoch 1 Batch 159/269 - Train Accuracy: 0.5390, Validation Accuracy: 0.5542, Loss: 1.0551
Epoch 1 Batch 160/269 - Train Accuracy: 0.5397, Validation Accuracy: 0.5516, Loss: 1.0474
Epoch 1 Batch 161/269 - Train Accuracy: 0.5275, Validation Accuracy: 0.5468, Loss: 1.0460
Epoch 1 Batch 162/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5475, Loss: 1.0358
Epoch 1 Batch 163/269 - Train Accuracy: 0.5454, Validation Accuracy: 0.5553, Loss: 1.0306
Epoch 1 Batch 164/269 - Train Accuracy: 0.5504, Validation Accuracy: 0.5577, Loss: 1.0326
Epoch 1 Batch 165/269 - Train Accuracy: 0.5178, Validation Accuracy: 0.5581, Loss: 1.0664
Epoch 1 Batch 166/269 - Train Accuracy: 0.5635, Validation Accuracy: 0.5561, Loss: 0.9799
Epoch 1 Batch 167/269 - Train Accuracy: 0.5469, Validation Accuracy: 0.5592, Loss: 1.0362
Epoch 1 Batch 168/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5538, Loss: 1.0477
Epoch 1 Batch 169/269 - Train Accuracy: 0.5366, Validation Accuracy: 0.5573, Loss: 1.0301
Epoch 1 Batch 170/269 - Train Accuracy: 0.5427, Validation Accuracy: 0.5570, Loss: 1.0240
Epoch 1 Batch 171/269 - Train Accuracy: 0.5340, Validation Accuracy: 0.5586, Loss: 1.0649
Epoch 1 Batch 172/269 - Train Accuracy: 0.5369, Validation Accuracy: 0.5559, Loss: 1.0308
Epoch 1 Batch 173/269 - Train Accuracy: 0.5313, Validation Accuracy: 0.5528, Loss: 1.0101
Epoch 1 Batch 174/269 - Train Accuracy: 0.5305, Validation Accuracy: 0.5528, Loss: 1.0237
Epoch 1 Batch 175/269 - Train Accuracy: 0.5312, Validation Accuracy: 0.5546, Loss: 1.0267
Epoch 1 Batch 176/269 - Train Accuracy: 0.5229, Validation Accuracy: 0.5483, Loss: 1.0613
Epoch 1 Batch 177/269 - Train Accuracy: 0.5404, Validation Accuracy: 0.5475, Loss: 0.9771
Epoch 1 Batch 178/269 - Train Accuracy: 0.5209, Validation Accuracy: 0.5493, Loss: 1.0413
Epoch 1 Batch 179/269 - Train Accuracy: 0.5328, Validation Accuracy: 0.5499, Loss: 1.0135
Epoch 1 Batch 180/269 - Train Accuracy: 0.5328, Validation Accuracy: 0.5549, Loss: 0.9946
Epoch 1 Batch 181/269 - Train Accuracy: 0.5217, Validation Accuracy: 0.5532, Loss: 1.0111
Epoch 1 Batch 182/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5532, Loss: 1.0149
Epoch 1 Batch 183/269 - Train Accuracy: 0.6023, Validation Accuracy: 0.5530, Loss: 0.8692
Epoch 1 Batch 184/269 - Train Accuracy: 0.5220, Validation Accuracy: 0.5588, Loss: 1.0455
Epoch 1 Batch 185/269 - Train Accuracy: 0.5488, Validation Accuracy: 0.5589, Loss: 0.9929
Epoch 1 Batch 186/269 - Train Accuracy: 0.5109, Validation Accuracy: 0.5597, Loss: 1.0324
Epoch 1 Batch 187/269 - Train Accuracy: 0.5428, Validation Accuracy: 0.5567, Loss: 0.9778
Epoch 1 Batch 188/269 - Train Accuracy: 0.5519, Validation Accuracy: 0.5616, Loss: 0.9666
Epoch 1 Batch 189/269 - Train Accuracy: 0.5543, Validation Accuracy: 0.5596, Loss: 0.9811
Epoch 1 Batch 190/269 - Train Accuracy: 0.5392, Validation Accuracy: 0.5602, Loss: 0.9785
Epoch 1 Batch 191/269 - Train Accuracy: 0.5395, Validation Accuracy: 0.5596, Loss: 0.9820
Epoch 1 Batch 192/269 - Train Accuracy: 0.5475, Validation Accuracy: 0.5612, Loss: 0.9957
Epoch 1 Batch 193/269 - Train Accuracy: 0.5469, Validation Accuracy: 0.5615, Loss: 0.9882
Epoch 1 Batch 194/269 - Train Accuracy: 0.5531, Validation Accuracy: 0.5608, Loss: 0.9954
Epoch 1 Batch 195/269 - Train Accuracy: 0.5245, Validation Accuracy: 0.5590, Loss: 0.9968
Epoch 1 Batch 196/269 - Train Accuracy: 0.5229, Validation Accuracy: 0.5561, Loss: 0.9753
Epoch 1 Batch 197/269 - Train Accuracy: 0.5169, Validation Accuracy: 0.5645, Loss: 1.0294
Epoch 1 Batch 198/269 - Train Accuracy: 0.5171, Validation Accuracy: 0.5661, Loss: 1.0417
Epoch 1 Batch 199/269 - Train Accuracy: 0.5436, Validation Accuracy: 0.5698, Loss: 0.9999
Epoch 1 Batch 200/269 - Train Accuracy: 0.5390, Validation Accuracy: 0.5726, Loss: 1.0068
Epoch 1 Batch 201/269 - Train Accuracy: 0.5419, Validation Accuracy: 0.5733, Loss: 0.9799
Epoch 1 Batch 202/269 - Train Accuracy: 0.5476, Validation Accuracy: 0.5699, Loss: 0.9778
Epoch 1 Batch 203/269 - Train Accuracy: 0.5246, Validation Accuracy: 0.5656, Loss: 1.0348
Epoch 1 Batch 204/269 - Train Accuracy: 0.5256, Validation Accuracy: 0.5669, Loss: 1.0091
Epoch 1 Batch 205/269 - Train Accuracy: 0.5332, Validation Accuracy: 0.5682, Loss: 0.9642
Epoch 1 Batch 206/269 - Train Accuracy: 0.5228, Validation Accuracy: 0.5699, Loss: 1.0271
Epoch 1 Batch 207/269 - Train Accuracy: 0.5755, Validation Accuracy: 0.5667, Loss: 0.9367
Epoch 1 Batch 208/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5695, Loss: 1.0268
Epoch 1 Batch 209/269 - Train Accuracy: 0.5234, Validation Accuracy: 0.5635, Loss: 0.9893
Epoch 1 Batch 210/269 - Train Accuracy: 0.5516, Validation Accuracy: 0.5614, Loss: 0.9579
Epoch 1 Batch 211/269 - Train Accuracy: 0.5438, Validation Accuracy: 0.5597, Loss: 0.9740
Epoch 1 Batch 212/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5604, Loss: 0.9500
Epoch 1 Batch 213/269 - Train Accuracy: 0.5488, Validation Accuracy: 0.5569, Loss: 0.9502
Epoch 1 Batch 214/269 - Train Accuracy: 0.5434, Validation Accuracy: 0.5547, Loss: 0.9500
Epoch 1 Batch 215/269 - Train Accuracy: 0.5651, Validation Accuracy: 0.5644, Loss: 0.9016
Epoch 1 Batch 216/269 - Train Accuracy: 0.5217, Validation Accuracy: 0.5726, Loss: 1.0311
Epoch 1 Batch 217/269 - Train Accuracy: 0.5233, Validation Accuracy: 0.5703, Loss: 0.9948
Epoch 1 Batch 218/269 - Train Accuracy: 0.5437, Validation Accuracy: 0.5700, Loss: 0.9941
Epoch 1 Batch 219/269 - Train Accuracy: 0.5481, Validation Accuracy: 0.5691, Loss: 0.9917
Epoch 1 Batch 220/269 - Train Accuracy: 0.5585, Validation Accuracy: 0.5690, Loss: 0.9058
Epoch 1 Batch 221/269 - Train Accuracy: 0.5685, Validation Accuracy: 0.5705, Loss: 0.9390
Epoch 1 Batch 222/269 - Train Accuracy: 0.5614, Validation Accuracy: 0.5656, Loss: 0.9151
Epoch 1 Batch 223/269 - Train Accuracy: 0.5530, Validation Accuracy: 0.5583, Loss: 0.9225
Epoch 1 Batch 224/269 - Train Accuracy: 0.5605, Validation Accuracy: 0.5657, Loss: 0.9652
Epoch 1 Batch 225/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5684, Loss: 0.9761
Epoch 1 Batch 226/269 - Train Accuracy: 0.5460, Validation Accuracy: 0.5697, Loss: 0.9473
Epoch 1 Batch 227/269 - Train Accuracy: 0.6117, Validation Accuracy: 0.5684, Loss: 0.8344
Epoch 1 Batch 228/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5696, Loss: 0.9400
Epoch 1 Batch 229/269 - Train Accuracy: 0.5511, Validation Accuracy: 0.5750, Loss: 0.9330
Epoch 1 Batch 230/269 - Train Accuracy: 0.5522, Validation Accuracy: 0.5690, Loss: 0.9394
Epoch 1 Batch 231/269 - Train Accuracy: 0.5186, Validation Accuracy: 0.5616, Loss: 0.9828
Epoch 1 Batch 232/269 - Train Accuracy: 0.5157, Validation Accuracy: 0.5703, Loss: 0.9741
Epoch 1 Batch 233/269 - Train Accuracy: 0.5536, Validation Accuracy: 0.5746, Loss: 0.9463
Epoch 1 Batch 234/269 - Train Accuracy: 0.5559, Validation Accuracy: 0.5731, Loss: 0.9366
Epoch 1 Batch 235/269 - Train Accuracy: 0.5499, Validation Accuracy: 0.5729, Loss: 0.9328
Epoch 1 Batch 236/269 - Train Accuracy: 0.5446, Validation Accuracy: 0.5685, Loss: 0.9220
Epoch 1 Batch 237/269 - Train Accuracy: 0.5402, Validation Accuracy: 0.5662, Loss: 0.9221
Epoch 1 Batch 238/269 - Train Accuracy: 0.5567, Validation Accuracy: 0.5691, Loss: 0.9221
Epoch 1 Batch 239/269 - Train Accuracy: 0.5657, Validation Accuracy: 0.5697, Loss: 0.9154
Epoch 1 Batch 240/269 - Train Accuracy: 0.5859, Validation Accuracy: 0.5697, Loss: 0.8565
Epoch 1 Batch 241/269 - Train Accuracy: 0.5537, Validation Accuracy: 0.5698, Loss: 0.9349
Epoch 1 Batch 242/269 - Train Accuracy: 0.5459, Validation Accuracy: 0.5716, Loss: 0.9287
Epoch 1 Batch 243/269 - Train Accuracy: 0.5751, Validation Accuracy: 0.5735, Loss: 0.8925
Epoch 1 Batch 244/269 - Train Accuracy: 0.5518, Validation Accuracy: 0.5724, Loss: 0.9131
Epoch 1 Batch 245/269 - Train Accuracy: 0.5491, Validation Accuracy: 0.5724, Loss: 0.9721
Epoch 1 Batch 246/269 - Train Accuracy: 0.5428, Validation Accuracy: 0.5695, Loss: 0.9277
Epoch 1 Batch 247/269 - Train Accuracy: 0.5509, Validation Accuracy: 0.5766, Loss: 0.9582
Epoch 1 Batch 248/269 - Train Accuracy: 0.5625, Validation Accuracy: 0.5789, Loss: 0.9106
Epoch 1 Batch 249/269 - Train Accuracy: 0.6048, Validation Accuracy: 0.5830, Loss: 0.8715
Epoch 1 Batch 250/269 - Train Accuracy: 0.5506, Validation Accuracy: 0.5823, Loss: 0.9373
Epoch 1 Batch 251/269 - Train Accuracy: 0.5714, Validation Accuracy: 0.5771, Loss: 0.8922
Epoch 1 Batch 252/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5760, Loss: 0.9135
Epoch 1 Batch 253/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5810, Loss: 0.9199
Epoch 1 Batch 254/269 - Train Accuracy: 0.5652, Validation Accuracy: 0.5809, Loss: 0.9017
Epoch 1 Batch 255/269 - Train Accuracy: 0.5899, Validation Accuracy: 0.5776, Loss: 0.8665
Epoch 1 Batch 256/269 - Train Accuracy: 0.5445, Validation Accuracy: 0.5771, Loss: 0.9147
Epoch 1 Batch 257/269 - Train Accuracy: 0.5497, Validation Accuracy: 0.5848, Loss: 0.9136
Epoch 1 Batch 258/269 - Train Accuracy: 0.5535, Validation Accuracy: 0.5804, Loss: 0.9047
Epoch 1 Batch 259/269 - Train Accuracy: 0.5789, Validation Accuracy: 0.5773, Loss: 0.9018
Epoch 1 Batch 260/269 - Train Accuracy: 0.5491, Validation Accuracy: 0.5781, Loss: 0.9501
Epoch 1 Batch 261/269 - Train Accuracy: 0.5256, Validation Accuracy: 0.5767, Loss: 0.9667
Epoch 1 Batch 262/269 - Train Accuracy: 0.5747, Validation Accuracy: 0.5803, Loss: 0.9134
Epoch 1 Batch 263/269 - Train Accuracy: 0.5775, Validation Accuracy: 0.5825, Loss: 0.9339
Epoch 1 Batch 264/269 - Train Accuracy: 0.5485, Validation Accuracy: 0.5894, Loss: 0.9451
Epoch 1 Batch 265/269 - Train Accuracy: 0.5539, Validation Accuracy: 0.5842, Loss: 0.9268
Epoch 1 Batch 266/269 - Train Accuracy: 0.5762, Validation Accuracy: 0.5764, Loss: 0.8808
Epoch 1 Batch 267/269 - Train Accuracy: 0.5557, Validation Accuracy: 0.5722, Loss: 0.9194
Epoch 2 Batch 1/269 - Train Accuracy: 0.5531, Validation Accuracy: 0.5802, Loss: 0.9217
Epoch 2 Batch 2/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5852, Loss: 0.9074
Epoch 2 Batch 3/269 - Train Accuracy: 0.5633, Validation Accuracy: 0.5836, Loss: 0.9206
Epoch 2 Batch 4/269 - Train Accuracy: 0.5484, Validation Accuracy: 0.5822, Loss: 0.9245
Epoch 2 Batch 5/269 - Train Accuracy: 0.5421, Validation Accuracy: 0.5808, Loss: 0.9260
Epoch 2 Batch 6/269 - Train Accuracy: 0.5725, Validation Accuracy: 0.5837, Loss: 0.8492
Epoch 2 Batch 7/269 - Train Accuracy: 0.5852, Validation Accuracy: 0.5839, Loss: 0.8746
Epoch 2 Batch 8/269 - Train Accuracy: 0.5510, Validation Accuracy: 0.5787, Loss: 0.9291
Epoch 2 Batch 9/269 - Train Accuracy: 0.5714, Validation Accuracy: 0.5819, Loss: 0.9048
Epoch 2 Batch 10/269 - Train Accuracy: 0.5542, Validation Accuracy: 0.5802, Loss: 0.9035
Epoch 2 Batch 11/269 - Train Accuracy: 0.5655, Validation Accuracy: 0.5806, Loss: 0.9052
Epoch 2 Batch 12/269 - Train Accuracy: 0.5456, Validation Accuracy: 0.5825, Loss: 0.9191
Epoch 2 Batch 13/269 - Train Accuracy: 0.5848, Validation Accuracy: 0.5678, Loss: 0.8226
Epoch 2 Batch 14/269 - Train Accuracy: 0.5470, Validation Accuracy: 0.5659, Loss: 0.8752
Epoch 2 Batch 15/269 - Train Accuracy: 0.5556, Validation Accuracy: 0.5680, Loss: 0.8702
Epoch 2 Batch 16/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.5740, Loss: 0.8747
Epoch 2 Batch 17/269 - Train Accuracy: 0.5707, Validation Accuracy: 0.5788, Loss: 0.8594
Epoch 2 Batch 18/269 - Train Accuracy: 0.5543, Validation Accuracy: 0.5808, Loss: 0.9069
Epoch 2 Batch 19/269 - Train Accuracy: 0.5966, Validation Accuracy: 0.5769, Loss: 0.8292
Epoch 2 Batch 20/269 - Train Accuracy: 0.5524, Validation Accuracy: 0.5639, Loss: 0.9047
Epoch 2 Batch 21/269 - Train Accuracy: 0.5551, Validation Accuracy: 0.5677, Loss: 0.9330
Epoch 2 Batch 22/269 - Train Accuracy: 0.5675, Validation Accuracy: 0.5714, Loss: 0.8576
Epoch 2 Batch 23/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.5767, Loss: 0.8717
Epoch 2 Batch 24/269 - Train Accuracy: 0.5602, Validation Accuracy: 0.5743, Loss: 0.9060
Epoch 2 Batch 25/269 - Train Accuracy: 0.5514, Validation Accuracy: 0.5693, Loss: 0.9122
Epoch 2 Batch 26/269 - Train Accuracy: 0.6055, Validation Accuracy: 0.5726, Loss: 0.8118
Epoch 2 Batch 27/269 - Train Accuracy: 0.5706, Validation Accuracy: 0.5846, Loss: 0.8667
Epoch 2 Batch 28/269 - Train Accuracy: 0.5483, Validation Accuracy: 0.5917, Loss: 0.9225
Epoch 2 Batch 29/269 - Train Accuracy: 0.5655, Validation Accuracy: 0.5909, Loss: 0.8878
Epoch 2 Batch 30/269 - Train Accuracy: 0.5786, Validation Accuracy: 0.5786, Loss: 0.8502
Epoch 2 Batch 31/269 - Train Accuracy: 0.5802, Validation Accuracy: 0.5778, Loss: 0.8504
Epoch 2 Batch 32/269 - Train Accuracy: 0.5749, Validation Accuracy: 0.5755, Loss: 0.8577
Epoch 2 Batch 33/269 - Train Accuracy: 0.5821, Validation Accuracy: 0.5758, Loss: 0.8287
Epoch 2 Batch 34/269 - Train Accuracy: 0.5768, Validation Accuracy: 0.5785, Loss: 0.8523
Epoch 2 Batch 35/269 - Train Accuracy: 0.5847, Validation Accuracy: 0.5787, Loss: 0.8637
Epoch 2 Batch 36/269 - Train Accuracy: 0.5696, Validation Accuracy: 0.5738, Loss: 0.8632
Epoch 2 Batch 37/269 - Train Accuracy: 0.5823, Validation Accuracy: 0.5771, Loss: 0.8643
Epoch 2 Batch 38/269 - Train Accuracy: 0.5812, Validation Accuracy: 0.5795, Loss: 0.8536
Epoch 2 Batch 39/269 - Train Accuracy: 0.5806, Validation Accuracy: 0.5753, Loss: 0.8498
Epoch 2 Batch 40/269 - Train Accuracy: 0.5645, Validation Accuracy: 0.5737, Loss: 0.8858
Epoch 2 Batch 41/269 - Train Accuracy: 0.5687, Validation Accuracy: 0.5708, Loss: 0.8674
Epoch 2 Batch 42/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.5787, Loss: 0.8064
Epoch 2 Batch 43/269 - Train Accuracy: 0.5574, Validation Accuracy: 0.5826, Loss: 0.8846
Epoch 2 Batch 44/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.5863, Loss: 0.8560
Epoch 2 Batch 45/269 - Train Accuracy: 0.5591, Validation Accuracy: 0.5854, Loss: 0.8866
Epoch 2 Batch 46/269 - Train Accuracy: 0.5604, Validation Accuracy: 0.5730, Loss: 0.8655
Epoch 2 Batch 47/269 - Train Accuracy: 0.6005, Validation Accuracy: 0.5719, Loss: 0.7930
Epoch 2 Batch 48/269 - Train Accuracy: 0.5837, Validation Accuracy: 0.5797, Loss: 0.8252
Epoch 2 Batch 49/269 - Train Accuracy: 0.5649, Validation Accuracy: 0.5862, Loss: 0.8690
Epoch 2 Batch 50/269 - Train Accuracy: 0.5613, Validation Accuracy: 0.5831, Loss: 0.8899
Epoch 2 Batch 51/269 - Train Accuracy: 0.5617, Validation Accuracy: 0.5788, Loss: 0.8612
Epoch 2 Batch 52/269 - Train Accuracy: 0.5667, Validation Accuracy: 0.5761, Loss: 0.8229
Epoch 2 Batch 53/269 - Train Accuracy: 0.5569, Validation Accuracy: 0.5748, Loss: 0.8858
Epoch 2 Batch 54/269 - Train Accuracy: 0.5827, Validation Accuracy: 0.5869, Loss: 0.8739
Epoch 2 Batch 55/269 - Train Accuracy: 0.5888, Validation Accuracy: 0.5801, Loss: 0.8366
Epoch 2 Batch 56/269 - Train Accuracy: 0.5902, Validation Accuracy: 0.5806, Loss: 0.8433
Epoch 2 Batch 57/269 - Train Accuracy: 0.5881, Validation Accuracy: 0.5798, Loss: 0.8572
Epoch 2 Batch 58/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.5819, Loss: 0.8362
Epoch 2 Batch 59/269 - Train Accuracy: 0.5954, Validation Accuracy: 0.5914, Loss: 0.8074
Epoch 2 Batch 60/269 - Train Accuracy: 0.5943, Validation Accuracy: 0.5858, Loss: 0.7977
Epoch 2 Batch 61/269 - Train Accuracy: 0.5956, Validation Accuracy: 0.5788, Loss: 0.7870
Epoch 2 Batch 62/269 - Train Accuracy: 0.5912, Validation Accuracy: 0.5793, Loss: 0.8090
Epoch 2 Batch 63/269 - Train Accuracy: 0.5717, Validation Accuracy: 0.5864, Loss: 0.8465
Epoch 2 Batch 64/269 - Train Accuracy: 0.5763, Validation Accuracy: 0.5918, Loss: 0.8205
Epoch 2 Batch 65/269 - Train Accuracy: 0.5894, Validation Accuracy: 0.5904, Loss: 0.8190
Epoch 2 Batch 66/269 - Train Accuracy: 0.5929, Validation Accuracy: 0.5841, Loss: 0.8040
Epoch 2 Batch 67/269 - Train Accuracy: 0.5683, Validation Accuracy: 0.5834, Loss: 0.8380
Epoch 2 Batch 68/269 - Train Accuracy: 0.5760, Validation Accuracy: 0.5837, Loss: 0.8449
Epoch 2 Batch 69/269 - Train Accuracy: 0.5617, Validation Accuracy: 0.5970, Loss: 0.9064
Epoch 2 Batch 70/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.5996, Loss: 0.8372
Epoch 2 Batch 71/269 - Train Accuracy: 0.5744, Validation Accuracy: 0.5993, Loss: 0.8639
Epoch 2 Batch 72/269 - Train Accuracy: 0.5979, Validation Accuracy: 0.5985, Loss: 0.8095
Epoch 2 Batch 73/269 - Train Accuracy: 0.5850, Validation Accuracy: 0.5902, Loss: 0.8480
Epoch 2 Batch 74/269 - Train Accuracy: 0.5760, Validation Accuracy: 0.5911, Loss: 0.8411
Epoch 2 Batch 75/269 - Train Accuracy: 0.5852, Validation Accuracy: 0.5939, Loss: 0.8214
Epoch 2 Batch 76/269 - Train Accuracy: 0.5753, Validation Accuracy: 0.5957, Loss: 0.8400
Epoch 2 Batch 77/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.5941, Loss: 0.8214
Epoch 2 Batch 78/269 - Train Accuracy: 0.5891, Validation Accuracy: 0.5986, Loss: 0.8176
Epoch 2 Batch 79/269 - Train Accuracy: 0.5962, Validation Accuracy: 0.5994, Loss: 0.8109
Epoch 2 Batch 80/269 - Train Accuracy: 0.6016, Validation Accuracy: 0.6023, Loss: 0.8139
Epoch 2 Batch 81/269 - Train Accuracy: 0.5945, Validation Accuracy: 0.6041, Loss: 0.8387
Epoch 2 Batch 82/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6059, Loss: 0.7915
Epoch 2 Batch 83/269 - Train Accuracy: 0.5938, Validation Accuracy: 0.6026, Loss: 0.8144
Epoch 2 Batch 84/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6009, Loss: 0.8025
Epoch 2 Batch 85/269 - Train Accuracy: 0.5795, Validation Accuracy: 0.5958, Loss: 0.8190
Epoch 2 Batch 86/269 - Train Accuracy: 0.5553, Validation Accuracy: 0.5961, Loss: 0.8180
Epoch 2 Batch 87/269 - Train Accuracy: 0.5614, Validation Accuracy: 0.5945, Loss: 0.8768
Epoch 2 Batch 88/269 - Train Accuracy: 0.5831, Validation Accuracy: 0.5949, Loss: 0.8195
Epoch 2 Batch 89/269 - Train Accuracy: 0.6011, Validation Accuracy: 0.5974, Loss: 0.8176
Epoch 2 Batch 90/269 - Train Accuracy: 0.5557, Validation Accuracy: 0.5981, Loss: 0.8649
Epoch 2 Batch 91/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6048, Loss: 0.7986
Epoch 2 Batch 92/269 - Train Accuracy: 0.5927, Validation Accuracy: 0.6075, Loss: 0.8003
Epoch 2 Batch 93/269 - Train Accuracy: 0.6069, Validation Accuracy: 0.6050, Loss: 0.7763
Epoch 2 Batch 94/269 - Train Accuracy: 0.5943, Validation Accuracy: 0.6042, Loss: 0.8335
Epoch 2 Batch 95/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.6037, Loss: 0.8139
Epoch 2 Batch 96/269 - Train Accuracy: 0.5964, Validation Accuracy: 0.6062, Loss: 0.8065
Epoch 2 Batch 97/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.6096, Loss: 0.8117
Epoch 2 Batch 98/269 - Train Accuracy: 0.6045, Validation Accuracy: 0.6095, Loss: 0.8100
Epoch 2 Batch 99/269 - Train Accuracy: 0.5841, Validation Accuracy: 0.6036, Loss: 0.8446
Epoch 2 Batch 100/269 - Train Accuracy: 0.6082, Validation Accuracy: 0.5998, Loss: 0.7986
Epoch 2 Batch 101/269 - Train Accuracy: 0.5611, Validation Accuracy: 0.6016, Loss: 0.8509
Epoch 2 Batch 102/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.5973, Loss: 0.8015
Epoch 2 Batch 103/269 - Train Accuracy: 0.5878, Validation Accuracy: 0.5985, Loss: 0.8000
Epoch 2 Batch 104/269 - Train Accuracy: 0.5804, Validation Accuracy: 0.6004, Loss: 0.8022
Epoch 2 Batch 105/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.5992, Loss: 0.8205
Epoch 2 Batch 106/269 - Train Accuracy: 0.5887, Validation Accuracy: 0.6024, Loss: 0.7994
Epoch 2 Batch 107/269 - Train Accuracy: 0.5641, Validation Accuracy: 0.6047, Loss: 0.8405
Epoch 2 Batch 108/269 - Train Accuracy: 0.5945, Validation Accuracy: 0.6060, Loss: 0.7863
Epoch 2 Batch 109/269 - Train Accuracy: 0.5767, Validation Accuracy: 0.6067, Loss: 0.8146
Epoch 2 Batch 110/269 - Train Accuracy: 0.5901, Validation Accuracy: 0.6054, Loss: 0.7903
Epoch 2 Batch 111/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.6029, Loss: 0.8573
Epoch 2 Batch 112/269 - Train Accuracy: 0.6028, Validation Accuracy: 0.6050, Loss: 0.8003
Epoch 2 Batch 113/269 - Train Accuracy: 0.6086, Validation Accuracy: 0.6043, Loss: 0.7568
Epoch 2 Batch 114/269 - Train Accuracy: 0.5885, Validation Accuracy: 0.6054, Loss: 0.7923
Epoch 2 Batch 115/269 - Train Accuracy: 0.5864, Validation Accuracy: 0.6069, Loss: 0.8223
Epoch 2 Batch 116/269 - Train Accuracy: 0.5939, Validation Accuracy: 0.6070, Loss: 0.7979
Epoch 2 Batch 117/269 - Train Accuracy: 0.5887, Validation Accuracy: 0.6058, Loss: 0.7935
Epoch 2 Batch 118/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6037, Loss: 0.7722
Epoch 2 Batch 119/269 - Train Accuracy: 0.5745, Validation Accuracy: 0.6057, Loss: 0.8391
Epoch 2 Batch 120/269 - Train Accuracy: 0.5800, Validation Accuracy: 0.6025, Loss: 0.8216
Epoch 2 Batch 121/269 - Train Accuracy: 0.5996, Validation Accuracy: 0.6040, Loss: 0.7772
Epoch 2 Batch 122/269 - Train Accuracy: 0.5948, Validation Accuracy: 0.6039, Loss: 0.7898
Epoch 2 Batch 123/269 - Train Accuracy: 0.5734, Validation Accuracy: 0.5993, Loss: 0.8170
Epoch 2 Batch 124/269 - Train Accuracy: 0.5821, Validation Accuracy: 0.5983, Loss: 0.7693
Epoch 2 Batch 125/269 - Train Accuracy: 0.5974, Validation Accuracy: 0.6029, Loss: 0.7708
Epoch 2 Batch 126/269 - Train Accuracy: 0.5949, Validation Accuracy: 0.6041, Loss: 0.7773
Epoch 2 Batch 127/269 - Train Accuracy: 0.5912, Validation Accuracy: 0.6060, Loss: 0.8239
Epoch 2 Batch 128/269 - Train Accuracy: 0.6109, Validation Accuracy: 0.6054, Loss: 0.7907
Epoch 2 Batch 129/269 - Train Accuracy: 0.5918, Validation Accuracy: 0.6032, Loss: 0.7989
Epoch 2 Batch 130/269 - Train Accuracy: 0.5715, Validation Accuracy: 0.5990, Loss: 0.8287
Epoch 2 Batch 131/269 - Train Accuracy: 0.5855, Validation Accuracy: 0.6014, Loss: 0.8132
Epoch 2 Batch 132/269 - Train Accuracy: 0.5973, Validation Accuracy: 0.6068, Loss: 0.7945
Epoch 2 Batch 133/269 - Train Accuracy: 0.6018, Validation Accuracy: 0.6074, Loss: 0.7667
Epoch 2 Batch 134/269 - Train Accuracy: 0.5780, Validation Accuracy: 0.6040, Loss: 0.8074
Epoch 2 Batch 135/269 - Train Accuracy: 0.5700, Validation Accuracy: 0.6011, Loss: 0.8380
Epoch 2 Batch 136/269 - Train Accuracy: 0.5690, Validation Accuracy: 0.6039, Loss: 0.8320
Epoch 2 Batch 137/269 - Train Accuracy: 0.5920, Validation Accuracy: 0.6100, Loss: 0.8163
Epoch 2 Batch 138/269 - Train Accuracy: 0.5895, Validation Accuracy: 0.6086, Loss: 0.8054
Epoch 2 Batch 139/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6075, Loss: 0.7557
Epoch 2 Batch 140/269 - Train Accuracy: 0.6097, Validation Accuracy: 0.6085, Loss: 0.7962
Epoch 2 Batch 141/269 - Train Accuracy: 0.6037, Validation Accuracy: 0.6104, Loss: 0.7930
Epoch 2 Batch 142/269 - Train Accuracy: 0.6050, Validation Accuracy: 0.6109, Loss: 0.7601
Epoch 2 Batch 143/269 - Train Accuracy: 0.6032, Validation Accuracy: 0.6098, Loss: 0.7787
Epoch 2 Batch 144/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6078, Loss: 0.7473
Epoch 2 Batch 145/269 - Train Accuracy: 0.6007, Validation Accuracy: 0.6068, Loss: 0.7743
Epoch 2 Batch 146/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6085, Loss: 0.7614
Epoch 2 Batch 147/269 - Train Accuracy: 0.6225, Validation Accuracy: 0.6114, Loss: 0.7419
Epoch 2 Batch 148/269 - Train Accuracy: 0.5952, Validation Accuracy: 0.6112, Loss: 0.7892
Epoch 2 Batch 149/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6090, Loss: 0.7863
Epoch 2 Batch 150/269 - Train Accuracy: 0.5981, Validation Accuracy: 0.6069, Loss: 0.7895
Epoch 2 Batch 151/269 - Train Accuracy: 0.6236, Validation Accuracy: 0.6025, Loss: 0.7451
Epoch 2 Batch 152/269 - Train Accuracy: 0.5978, Validation Accuracy: 0.6066, Loss: 0.7756
Epoch 2 Batch 153/269 - Train Accuracy: 0.6150, Validation Accuracy: 0.6111, Loss: 0.7580
Epoch 2 Batch 154/269 - Train Accuracy: 0.5906, Validation Accuracy: 0.6096, Loss: 0.7894
Epoch 2 Batch 155/269 - Train Accuracy: 0.6273, Validation Accuracy: 0.6048, Loss: 0.7374
Epoch 2 Batch 156/269 - Train Accuracy: 0.5804, Validation Accuracy: 0.6028, Loss: 0.8014
Epoch 2 Batch 157/269 - Train Accuracy: 0.5922, Validation Accuracy: 0.6055, Loss: 0.7752
Epoch 2 Batch 158/269 - Train Accuracy: 0.6047, Validation Accuracy: 0.6097, Loss: 0.7643
Epoch 2 Batch 159/269 - Train Accuracy: 0.6043, Validation Accuracy: 0.6128, Loss: 0.7733
Epoch 2 Batch 160/269 - Train Accuracy: 0.5992, Validation Accuracy: 0.6073, Loss: 0.7685
Epoch 2 Batch 161/269 - Train Accuracy: 0.5889, Validation Accuracy: 0.6032, Loss: 0.7757
Epoch 2 Batch 162/269 - Train Accuracy: 0.6010, Validation Accuracy: 0.6053, Loss: 0.7566
Epoch 2 Batch 163/269 - Train Accuracy: 0.6097, Validation Accuracy: 0.6103, Loss: 0.7622
Epoch 2 Batch 164/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.6127, Loss: 0.7626
Epoch 2 Batch 165/269 - Train Accuracy: 0.5859, Validation Accuracy: 0.6142, Loss: 0.7770
Epoch 2 Batch 166/269 - Train Accuracy: 0.6248, Validation Accuracy: 0.6143, Loss: 0.7271
Epoch 2 Batch 167/269 - Train Accuracy: 0.6007, Validation Accuracy: 0.6092, Loss: 0.7665
Epoch 2 Batch 168/269 - Train Accuracy: 0.5941, Validation Accuracy: 0.6123, Loss: 0.7750
Epoch 2 Batch 169/269 - Train Accuracy: 0.6033, Validation Accuracy: 0.6150, Loss: 0.7600
Epoch 2 Batch 170/269 - Train Accuracy: 0.6093, Validation Accuracy: 0.6177, Loss: 0.7585
Epoch 2 Batch 171/269 - Train Accuracy: 0.5987, Validation Accuracy: 0.6151, Loss: 0.7933
Epoch 2 Batch 172/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6129, Loss: 0.7692
Epoch 2 Batch 173/269 - Train Accuracy: 0.6084, Validation Accuracy: 0.6103, Loss: 0.7435
Epoch 2 Batch 174/269 - Train Accuracy: 0.5923, Validation Accuracy: 0.6107, Loss: 0.7635
Epoch 2 Batch 175/269 - Train Accuracy: 0.6073, Validation Accuracy: 0.6116, Loss: 0.7725
Epoch 2 Batch 176/269 - Train Accuracy: 0.5883, Validation Accuracy: 0.6133, Loss: 0.7936
Epoch 2 Batch 177/269 - Train Accuracy: 0.6140, Validation Accuracy: 0.6113, Loss: 0.7309
Epoch 2 Batch 178/269 - Train Accuracy: 0.5980, Validation Accuracy: 0.6113, Loss: 0.7753
Epoch 2 Batch 179/269 - Train Accuracy: 0.6084, Validation Accuracy: 0.6106, Loss: 0.7598
Epoch 2 Batch 180/269 - Train Accuracy: 0.6006, Validation Accuracy: 0.6079, Loss: 0.7510
Epoch 2 Batch 181/269 - Train Accuracy: 0.5903, Validation Accuracy: 0.6082, Loss: 0.7635
Epoch 2 Batch 182/269 - Train Accuracy: 0.6059, Validation Accuracy: 0.6119, Loss: 0.7647
Epoch 2 Batch 183/269 - Train Accuracy: 0.6626, Validation Accuracy: 0.6107, Loss: 0.6581
Epoch 2 Batch 184/269 - Train Accuracy: 0.5851, Validation Accuracy: 0.6070, Loss: 0.7832
Epoch 2 Batch 185/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.6080, Loss: 0.7520
Epoch 2 Batch 186/269 - Train Accuracy: 0.5822, Validation Accuracy: 0.6133, Loss: 0.7754
Epoch 2 Batch 187/269 - Train Accuracy: 0.6068, Validation Accuracy: 0.6128, Loss: 0.7363
Epoch 2 Batch 188/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6103, Loss: 0.7232
Epoch 2 Batch 189/269 - Train Accuracy: 0.6044, Validation Accuracy: 0.6099, Loss: 0.7298
Epoch 2 Batch 190/269 - Train Accuracy: 0.6039, Validation Accuracy: 0.6130, Loss: 0.7264
Epoch 2 Batch 191/269 - Train Accuracy: 0.6199, Validation Accuracy: 0.6127, Loss: 0.7380
Epoch 2 Batch 192/269 - Train Accuracy: 0.6137, Validation Accuracy: 0.6102, Loss: 0.7491
Epoch 2 Batch 193/269 - Train Accuracy: 0.6042, Validation Accuracy: 0.6104, Loss: 0.7451
Epoch 2 Batch 194/269 - Train Accuracy: 0.6118, Validation Accuracy: 0.6104, Loss: 0.7519
Epoch 2 Batch 195/269 - Train Accuracy: 0.6015, Validation Accuracy: 0.6130, Loss: 0.7497
Epoch 2 Batch 196/269 - Train Accuracy: 0.5890, Validation Accuracy: 0.6119, Loss: 0.7429
Epoch 2 Batch 197/269 - Train Accuracy: 0.5843, Validation Accuracy: 0.6105, Loss: 0.7743
Epoch 2 Batch 198/269 - Train Accuracy: 0.5936, Validation Accuracy: 0.6113, Loss: 0.7865
Epoch 2 Batch 199/269 - Train Accuracy: 0.5954, Validation Accuracy: 0.6105, Loss: 0.7599
Epoch 2 Batch 200/269 - Train Accuracy: 0.5946, Validation Accuracy: 0.6140, Loss: 0.7655
Epoch 2 Batch 201/269 - Train Accuracy: 0.6083, Validation Accuracy: 0.6160, Loss: 0.7387
Epoch 2 Batch 202/269 - Train Accuracy: 0.6091, Validation Accuracy: 0.6192, Loss: 0.7406
Epoch 2 Batch 203/269 - Train Accuracy: 0.5795, Validation Accuracy: 0.6143, Loss: 0.7887
Epoch 2 Batch 204/269 - Train Accuracy: 0.5834, Validation Accuracy: 0.6143, Loss: 0.7741
Epoch 2 Batch 205/269 - Train Accuracy: 0.5981, Validation Accuracy: 0.6150, Loss: 0.7277
Epoch 2 Batch 206/269 - Train Accuracy: 0.5948, Validation Accuracy: 0.6159, Loss: 0.7705
Epoch 2 Batch 207/269 - Train Accuracy: 0.6346, Validation Accuracy: 0.6160, Loss: 0.7237
Epoch 2 Batch 208/269 - Train Accuracy: 0.5820, Validation Accuracy: 0.6149, Loss: 0.7778
Epoch 2 Batch 209/269 - Train Accuracy: 0.6050, Validation Accuracy: 0.6160, Loss: 0.7493
Epoch 2 Batch 210/269 - Train Accuracy: 0.6118, Validation Accuracy: 0.6154, Loss: 0.7249
Epoch 2 Batch 211/269 - Train Accuracy: 0.6113, Validation Accuracy: 0.6129, Loss: 0.7420
Epoch 2 Batch 212/269 - Train Accuracy: 0.6177, Validation Accuracy: 0.6139, Loss: 0.7241
Epoch 2 Batch 213/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6133, Loss: 0.7331
Epoch 2 Batch 214/269 - Train Accuracy: 0.6123, Validation Accuracy: 0.6146, Loss: 0.7355
Epoch 2 Batch 215/269 - Train Accuracy: 0.6338, Validation Accuracy: 0.6150, Loss: 0.6933
Epoch 2 Batch 216/269 - Train Accuracy: 0.5841, Validation Accuracy: 0.6155, Loss: 0.7942
Epoch 2 Batch 217/269 - Train Accuracy: 0.5792, Validation Accuracy: 0.6169, Loss: 0.7603
Epoch 2 Batch 218/269 - Train Accuracy: 0.5983, Validation Accuracy: 0.6156, Loss: 0.7581
Epoch 2 Batch 219/269 - Train Accuracy: 0.6092, Validation Accuracy: 0.6183, Loss: 0.7682
Epoch 2 Batch 220/269 - Train Accuracy: 0.6152, Validation Accuracy: 0.6207, Loss: 0.7005
Epoch 2 Batch 221/269 - Train Accuracy: 0.6412, Validation Accuracy: 0.6221, Loss: 0.7219
Epoch 2 Batch 222/269 - Train Accuracy: 0.6300, Validation Accuracy: 0.6214, Loss: 0.7074
Epoch 2 Batch 223/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6152, Loss: 0.7123
Epoch 2 Batch 224/269 - Train Accuracy: 0.6064, Validation Accuracy: 0.6159, Loss: 0.7515
Epoch 2 Batch 225/269 - Train Accuracy: 0.5985, Validation Accuracy: 0.6221, Loss: 0.7447
Epoch 2 Batch 226/269 - Train Accuracy: 0.6100, Validation Accuracy: 0.6239, Loss: 0.7305
Epoch 2 Batch 227/269 - Train Accuracy: 0.6700, Validation Accuracy: 0.6246, Loss: 0.6474
Epoch 2 Batch 228/269 - Train Accuracy: 0.6098, Validation Accuracy: 0.6238, Loss: 0.7266
Epoch 2 Batch 229/269 - Train Accuracy: 0.6102, Validation Accuracy: 0.6198, Loss: 0.7130
Epoch 2 Batch 230/269 - Train Accuracy: 0.5988, Validation Accuracy: 0.6191, Loss: 0.7282
Epoch 2 Batch 231/269 - Train Accuracy: 0.5862, Validation Accuracy: 0.6200, Loss: 0.7654
Epoch 2 Batch 232/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.6208, Loss: 0.7543
Epoch 2 Batch 233/269 - Train Accuracy: 0.6183, Validation Accuracy: 0.6214, Loss: 0.7364
Epoch 2 Batch 234/269 - Train Accuracy: 0.6198, Validation Accuracy: 0.6233, Loss: 0.7279
Epoch 2 Batch 235/269 - Train Accuracy: 0.6151, Validation Accuracy: 0.6193, Loss: 0.7171
Epoch 2 Batch 236/269 - Train Accuracy: 0.6016, Validation Accuracy: 0.6246, Loss: 0.7122
Epoch 2 Batch 237/269 - Train Accuracy: 0.6008, Validation Accuracy: 0.6246, Loss: 0.7173
Epoch 2 Batch 238/269 - Train Accuracy: 0.6308, Validation Accuracy: 0.6230, Loss: 0.7119
Epoch 2 Batch 239/269 - Train Accuracy: 0.6216, Validation Accuracy: 0.6183, Loss: 0.7202
Epoch 2 Batch 240/269 - Train Accuracy: 0.6359, Validation Accuracy: 0.6201, Loss: 0.6579
Epoch 2 Batch 241/269 - Train Accuracy: 0.6105, Validation Accuracy: 0.6209, Loss: 0.7309
Epoch 2 Batch 242/269 - Train Accuracy: 0.6044, Validation Accuracy: 0.6222, Loss: 0.7243
Epoch 2 Batch 243/269 - Train Accuracy: 0.6390, Validation Accuracy: 0.6222, Loss: 0.6953
Epoch 2 Batch 244/269 - Train Accuracy: 0.6074, Validation Accuracy: 0.6225, Loss: 0.7138
Epoch 2 Batch 245/269 - Train Accuracy: 0.6068, Validation Accuracy: 0.6226, Loss: 0.7621
Epoch 2 Batch 246/269 - Train Accuracy: 0.5983, Validation Accuracy: 0.6219, Loss: 0.7247
Epoch 2 Batch 247/269 - Train Accuracy: 0.6030, Validation Accuracy: 0.6206, Loss: 0.7430
Epoch 2 Batch 248/269 - Train Accuracy: 0.6131, Validation Accuracy: 0.6224, Loss: 0.7148
Epoch 2 Batch 249/269 - Train Accuracy: 0.6401, Validation Accuracy: 0.6206, Loss: 0.6800
Epoch 2 Batch 250/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6173, Loss: 0.7321
Epoch 2 Batch 251/269 - Train Accuracy: 0.6287, Validation Accuracy: 0.6167, Loss: 0.7013
Epoch 2 Batch 252/269 - Train Accuracy: 0.6241, Validation Accuracy: 0.6174, Loss: 0.7181
Epoch 2 Batch 253/269 - Train Accuracy: 0.6045, Validation Accuracy: 0.6191, Loss: 0.7235
Epoch 2 Batch 254/269 - Train Accuracy: 0.6098, Validation Accuracy: 0.6172, Loss: 0.7114
Epoch 2 Batch 255/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6127, Loss: 0.6829
Epoch 2 Batch 256/269 - Train Accuracy: 0.6000, Validation Accuracy: 0.6191, Loss: 0.7250
Epoch 2 Batch 257/269 - Train Accuracy: 0.5905, Validation Accuracy: 0.6203, Loss: 0.7237
Epoch 2 Batch 258/269 - Train Accuracy: 0.6093, Validation Accuracy: 0.6176, Loss: 0.7172
Epoch 2 Batch 259/269 - Train Accuracy: 0.6204, Validation Accuracy: 0.6135, Loss: 0.7058
Epoch 2 Batch 260/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.6126, Loss: 0.7509
Epoch 2 Batch 261/269 - Train Accuracy: 0.5839, Validation Accuracy: 0.6188, Loss: 0.7628
Epoch 2 Batch 262/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6216, Loss: 0.7149
Epoch 2 Batch 263/269 - Train Accuracy: 0.6106, Validation Accuracy: 0.6174, Loss: 0.7344
Epoch 2 Batch 264/269 - Train Accuracy: 0.5856, Validation Accuracy: 0.6166, Loss: 0.7404
Epoch 2 Batch 265/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.6159, Loss: 0.7318
Epoch 2 Batch 266/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6226, Loss: 0.7009
Epoch 2 Batch 267/269 - Train Accuracy: 0.6121, Validation Accuracy: 0.6225, Loss: 0.7194
Epoch 3 Batch 1/269 - Train Accuracy: 0.5923, Validation Accuracy: 0.6184, Loss: 0.7258
Epoch 3 Batch 2/269 - Train Accuracy: 0.5911, Validation Accuracy: 0.6189, Loss: 0.7145
Epoch 3 Batch 3/269 - Train Accuracy: 0.6160, Validation Accuracy: 0.6181, Loss: 0.7225
Epoch 3 Batch 4/269 - Train Accuracy: 0.5880, Validation Accuracy: 0.6210, Loss: 0.7392
Epoch 3 Batch 5/269 - Train Accuracy: 0.5914, Validation Accuracy: 0.6181, Loss: 0.7328
Epoch 3 Batch 6/269 - Train Accuracy: 0.6144, Validation Accuracy: 0.6143, Loss: 0.6755
Epoch 3 Batch 7/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6148, Loss: 0.6884
Epoch 3 Batch 8/269 - Train Accuracy: 0.5937, Validation Accuracy: 0.6190, Loss: 0.7413
Epoch 3 Batch 9/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6203, Loss: 0.7122
Epoch 3 Batch 10/269 - Train Accuracy: 0.6060, Validation Accuracy: 0.6195, Loss: 0.7235
Epoch 3 Batch 11/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6153, Loss: 0.7173
Epoch 3 Batch 12/269 - Train Accuracy: 0.5922, Validation Accuracy: 0.6183, Loss: 0.7321
Epoch 3 Batch 13/269 - Train Accuracy: 0.6342, Validation Accuracy: 0.6201, Loss: 0.6568
Epoch 3 Batch 14/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6206, Loss: 0.6941
Epoch 3 Batch 15/269 - Train Accuracy: 0.6061, Validation Accuracy: 0.6215, Loss: 0.6872
Epoch 3 Batch 16/269 - Train Accuracy: 0.6226, Validation Accuracy: 0.6167, Loss: 0.7003
Epoch 3 Batch 17/269 - Train Accuracy: 0.6186, Validation Accuracy: 0.6190, Loss: 0.6906
Epoch 3 Batch 18/269 - Train Accuracy: 0.5855, Validation Accuracy: 0.6214, Loss: 0.7194
Epoch 3 Batch 19/269 - Train Accuracy: 0.6402, Validation Accuracy: 0.6212, Loss: 0.6535
Epoch 3 Batch 20/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6216, Loss: 0.7217
Epoch 3 Batch 21/269 - Train Accuracy: 0.6032, Validation Accuracy: 0.6213, Loss: 0.7371
Epoch 3 Batch 22/269 - Train Accuracy: 0.6173, Validation Accuracy: 0.6240, Loss: 0.6765
Epoch 3 Batch 23/269 - Train Accuracy: 0.6201, Validation Accuracy: 0.6223, Loss: 0.6919
Epoch 3 Batch 24/269 - Train Accuracy: 0.6085, Validation Accuracy: 0.6230, Loss: 0.7253
Epoch 3 Batch 25/269 - Train Accuracy: 0.6008, Validation Accuracy: 0.6250, Loss: 0.7306
Epoch 3 Batch 26/269 - Train Accuracy: 0.6365, Validation Accuracy: 0.6198, Loss: 0.6478
Epoch 3 Batch 27/269 - Train Accuracy: 0.6062, Validation Accuracy: 0.6228, Loss: 0.6930
Epoch 3 Batch 28/269 - Train Accuracy: 0.5747, Validation Accuracy: 0.6207, Loss: 0.7444
Epoch 3 Batch 29/269 - Train Accuracy: 0.6054, Validation Accuracy: 0.6194, Loss: 0.7189
Epoch 3 Batch 30/269 - Train Accuracy: 0.6177, Validation Accuracy: 0.6242, Loss: 0.6792
Epoch 3 Batch 31/269 - Train Accuracy: 0.6307, Validation Accuracy: 0.6254, Loss: 0.6715
Epoch 3 Batch 32/269 - Train Accuracy: 0.6077, Validation Accuracy: 0.6233, Loss: 0.6871
Epoch 3 Batch 33/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6226, Loss: 0.6676
Epoch 3 Batch 34/269 - Train Accuracy: 0.6206, Validation Accuracy: 0.6222, Loss: 0.6837
Epoch 3 Batch 35/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6212, Loss: 0.6945
Epoch 3 Batch 36/269 - Train Accuracy: 0.6178, Validation Accuracy: 0.6237, Loss: 0.6853
Epoch 3 Batch 37/269 - Train Accuracy: 0.6306, Validation Accuracy: 0.6238, Loss: 0.6810
Epoch 3 Batch 38/269 - Train Accuracy: 0.6178, Validation Accuracy: 0.6272, Loss: 0.6869
Epoch 3 Batch 39/269 - Train Accuracy: 0.6184, Validation Accuracy: 0.6239, Loss: 0.6728
Epoch 3 Batch 40/269 - Train Accuracy: 0.6095, Validation Accuracy: 0.6230, Loss: 0.7140
Epoch 3 Batch 41/269 - Train Accuracy: 0.6151, Validation Accuracy: 0.6246, Loss: 0.6955
Epoch 3 Batch 42/269 - Train Accuracy: 0.6439, Validation Accuracy: 0.6254, Loss: 0.6549
Epoch 3 Batch 43/269 - Train Accuracy: 0.6122, Validation Accuracy: 0.6276, Loss: 0.7089
Epoch 3 Batch 44/269 - Train Accuracy: 0.6313, Validation Accuracy: 0.6270, Loss: 0.6892
Epoch 3 Batch 45/269 - Train Accuracy: 0.5957, Validation Accuracy: 0.6242, Loss: 0.7144
Epoch 3 Batch 46/269 - Train Accuracy: 0.6210, Validation Accuracy: 0.6256, Loss: 0.7014
Epoch 3 Batch 47/269 - Train Accuracy: 0.6508, Validation Accuracy: 0.6232, Loss: 0.6323
Epoch 3 Batch 48/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6230, Loss: 0.6654
Epoch 3 Batch 49/269 - Train Accuracy: 0.5883, Validation Accuracy: 0.6270, Loss: 0.7032
Epoch 3 Batch 50/269 - Train Accuracy: 0.6048, Validation Accuracy: 0.6271, Loss: 0.7111
Epoch 3 Batch 51/269 - Train Accuracy: 0.6119, Validation Accuracy: 0.6260, Loss: 0.6890
Epoch 3 Batch 52/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6273, Loss: 0.6585
Epoch 3 Batch 53/269 - Train Accuracy: 0.6065, Validation Accuracy: 0.6254, Loss: 0.7178
Epoch 3 Batch 54/269 - Train Accuracy: 0.6124, Validation Accuracy: 0.6274, Loss: 0.7028
Epoch 3 Batch 55/269 - Train Accuracy: 0.6307, Validation Accuracy: 0.6277, Loss: 0.6736
Epoch 3 Batch 56/269 - Train Accuracy: 0.6310, Validation Accuracy: 0.6293, Loss: 0.6821
Epoch 3 Batch 57/269 - Train Accuracy: 0.6222, Validation Accuracy: 0.6331, Loss: 0.6959
Epoch 3 Batch 58/269 - Train Accuracy: 0.6323, Validation Accuracy: 0.6252, Loss: 0.6661
Epoch 3 Batch 59/269 - Train Accuracy: 0.6316, Validation Accuracy: 0.6240, Loss: 0.6527
Epoch 3 Batch 60/269 - Train Accuracy: 0.6250, Validation Accuracy: 0.6241, Loss: 0.6429
Epoch 3 Batch 61/269 - Train Accuracy: 0.6315, Validation Accuracy: 0.6293, Loss: 0.6401
Epoch 3 Batch 62/269 - Train Accuracy: 0.6362, Validation Accuracy: 0.6296, Loss: 0.6559
Epoch 3 Batch 63/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6278, Loss: 0.6861
Epoch 3 Batch 64/269 - Train Accuracy: 0.6111, Validation Accuracy: 0.6276, Loss: 0.6584
Epoch 3 Batch 65/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6322, Loss: 0.6632
Epoch 3 Batch 66/269 - Train Accuracy: 0.6278, Validation Accuracy: 0.6294, Loss: 0.6524
Epoch 3 Batch 67/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6261, Loss: 0.6810
Epoch 3 Batch 68/269 - Train Accuracy: 0.6026, Validation Accuracy: 0.6244, Loss: 0.6768
Epoch 3 Batch 69/269 - Train Accuracy: 0.5936, Validation Accuracy: 0.6269, Loss: 0.7365
Epoch 3 Batch 70/269 - Train Accuracy: 0.6322, Validation Accuracy: 0.6244, Loss: 0.6782
Epoch 3 Batch 71/269 - Train Accuracy: 0.6055, Validation Accuracy: 0.6199, Loss: 0.7047
Epoch 3 Batch 72/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6207, Loss: 0.6622
Epoch 3 Batch 73/269 - Train Accuracy: 0.6290, Validation Accuracy: 0.6238, Loss: 0.6821
Epoch 3 Batch 74/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6215, Loss: 0.6784
Epoch 3 Batch 75/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6204, Loss: 0.6628
Epoch 3 Batch 76/269 - Train Accuracy: 0.6031, Validation Accuracy: 0.6195, Loss: 0.6841
Epoch 3 Batch 77/269 - Train Accuracy: 0.6385, Validation Accuracy: 0.6244, Loss: 0.6545
Epoch 3 Batch 78/269 - Train Accuracy: 0.6240, Validation Accuracy: 0.6279, Loss: 0.6655
Epoch 3 Batch 79/269 - Train Accuracy: 0.6206, Validation Accuracy: 0.6263, Loss: 0.6584
Epoch 3 Batch 80/269 - Train Accuracy: 0.6373, Validation Accuracy: 0.6278, Loss: 0.6632
Epoch 3 Batch 81/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6308, Loss: 0.6847
Epoch 3 Batch 82/269 - Train Accuracy: 0.6324, Validation Accuracy: 0.6307, Loss: 0.6418
Epoch 3 Batch 83/269 - Train Accuracy: 0.6258, Validation Accuracy: 0.6357, Loss: 0.6695
Epoch 3 Batch 84/269 - Train Accuracy: 0.6392, Validation Accuracy: 0.6309, Loss: 0.6537
Epoch 3 Batch 85/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6323, Loss: 0.6609
Epoch 3 Batch 86/269 - Train Accuracy: 0.6079, Validation Accuracy: 0.6315, Loss: 0.6539
Epoch 3 Batch 87/269 - Train Accuracy: 0.6043, Validation Accuracy: 0.6353, Loss: 0.7009
Epoch 3 Batch 88/269 - Train Accuracy: 0.6300, Validation Accuracy: 0.6330, Loss: 0.6620
Epoch 3 Batch 89/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6283, Loss: 0.6672
Epoch 3 Batch 90/269 - Train Accuracy: 0.5932, Validation Accuracy: 0.6265, Loss: 0.7035
Epoch 3 Batch 91/269 - Train Accuracy: 0.6257, Validation Accuracy: 0.6286, Loss: 0.6383
Epoch 3 Batch 92/269 - Train Accuracy: 0.6285, Validation Accuracy: 0.6262, Loss: 0.6507
Epoch 3 Batch 93/269 - Train Accuracy: 0.6345, Validation Accuracy: 0.6304, Loss: 0.6324
Epoch 3 Batch 94/269 - Train Accuracy: 0.6129, Validation Accuracy: 0.6265, Loss: 0.6698
Epoch 3 Batch 95/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6314, Loss: 0.6631
Epoch 3 Batch 96/269 - Train Accuracy: 0.6185, Validation Accuracy: 0.6308, Loss: 0.6594
Epoch 3 Batch 97/269 - Train Accuracy: 0.6375, Validation Accuracy: 0.6254, Loss: 0.6508
Epoch 3 Batch 98/269 - Train Accuracy: 0.6323, Validation Accuracy: 0.6290, Loss: 0.6552
Epoch 3 Batch 99/269 - Train Accuracy: 0.6088, Validation Accuracy: 0.6295, Loss: 0.6787
Epoch 3 Batch 100/269 - Train Accuracy: 0.6468, Validation Accuracy: 0.6235, Loss: 0.6496
Epoch 3 Batch 101/269 - Train Accuracy: 0.6006, Validation Accuracy: 0.6332, Loss: 0.6954
Epoch 3 Batch 102/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6393, Loss: 0.6575
Epoch 3 Batch 103/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6376, Loss: 0.6539
Epoch 3 Batch 104/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6321, Loss: 0.6509
Epoch 3 Batch 105/269 - Train Accuracy: 0.6244, Validation Accuracy: 0.6341, Loss: 0.6648
Epoch 3 Batch 106/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6406, Loss: 0.6496
Epoch 3 Batch 107/269 - Train Accuracy: 0.5965, Validation Accuracy: 0.6334, Loss: 0.6898
Epoch 3 Batch 108/269 - Train Accuracy: 0.6259, Validation Accuracy: 0.6243, Loss: 0.6516
Epoch 3 Batch 109/269 - Train Accuracy: 0.6099, Validation Accuracy: 0.6316, Loss: 0.6573
Epoch 3 Batch 110/269 - Train Accuracy: 0.6205, Validation Accuracy: 0.6306, Loss: 0.6407
Epoch 3 Batch 111/269 - Train Accuracy: 0.5906, Validation Accuracy: 0.6278, Loss: 0.7011
Epoch 3 Batch 112/269 - Train Accuracy: 0.6296, Validation Accuracy: 0.6329, Loss: 0.6506
Epoch 3 Batch 113/269 - Train Accuracy: 0.6232, Validation Accuracy: 0.6308, Loss: 0.6273
Epoch 3 Batch 114/269 - Train Accuracy: 0.6200, Validation Accuracy: 0.6277, Loss: 0.6468
Epoch 3 Batch 115/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6283, Loss: 0.6805
Epoch 3 Batch 116/269 - Train Accuracy: 0.6148, Validation Accuracy: 0.6281, Loss: 0.6607
Epoch 3 Batch 117/269 - Train Accuracy: 0.6015, Validation Accuracy: 0.6206, Loss: 0.6478
Epoch 3 Batch 118/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6308, Loss: 0.6276
Epoch 3 Batch 119/269 - Train Accuracy: 0.6074, Validation Accuracy: 0.6335, Loss: 0.6842
Epoch 3 Batch 120/269 - Train Accuracy: 0.6158, Validation Accuracy: 0.6326, Loss: 0.6709
Epoch 3 Batch 121/269 - Train Accuracy: 0.6123, Validation Accuracy: 0.6344, Loss: 0.6321
Epoch 3 Batch 122/269 - Train Accuracy: 0.6299, Validation Accuracy: 0.6373, Loss: 0.6328
Epoch 3 Batch 123/269 - Train Accuracy: 0.6146, Validation Accuracy: 0.6337, Loss: 0.6680
Epoch 3 Batch 124/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6369, Loss: 0.6314
Epoch 3 Batch 125/269 - Train Accuracy: 0.6371, Validation Accuracy: 0.6404, Loss: 0.6325
Epoch 3 Batch 126/269 - Train Accuracy: 0.6283, Validation Accuracy: 0.6290, Loss: 0.6325
Epoch 3 Batch 127/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6285, Loss: 0.6696
Epoch 3 Batch 128/269 - Train Accuracy: 0.6423, Validation Accuracy: 0.6427, Loss: 0.6490
Epoch 3 Batch 129/269 - Train Accuracy: 0.6209, Validation Accuracy: 0.6386, Loss: 0.6460
Epoch 3 Batch 130/269 - Train Accuracy: 0.6091, Validation Accuracy: 0.6373, Loss: 0.6732
Epoch 3 Batch 131/269 - Train Accuracy: 0.6176, Validation Accuracy: 0.6312, Loss: 0.6590
Epoch 3 Batch 132/269 - Train Accuracy: 0.6220, Validation Accuracy: 0.6348, Loss: 0.6557
Epoch 3 Batch 133/269 - Train Accuracy: 0.6316, Validation Accuracy: 0.6311, Loss: 0.6272
Epoch 3 Batch 134/269 - Train Accuracy: 0.6072, Validation Accuracy: 0.6306, Loss: 0.6577
Epoch 3 Batch 135/269 - Train Accuracy: 0.5987, Validation Accuracy: 0.6325, Loss: 0.6828
Epoch 3 Batch 136/269 - Train Accuracy: 0.6040, Validation Accuracy: 0.6308, Loss: 0.6812
Epoch 3 Batch 137/269 - Train Accuracy: 0.6195, Validation Accuracy: 0.6334, Loss: 0.6701
Epoch 3 Batch 138/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6283, Loss: 0.6672
Epoch 3 Batch 139/269 - Train Accuracy: 0.6344, Validation Accuracy: 0.6278, Loss: 0.6334
Epoch 3 Batch 140/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6391, Loss: 0.6574
Epoch 3 Batch 141/269 - Train Accuracy: 0.6217, Validation Accuracy: 0.6288, Loss: 0.6574
Epoch 3 Batch 142/269 - Train Accuracy: 0.6258, Validation Accuracy: 0.6355, Loss: 0.6306
Epoch 3 Batch 143/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6356, Loss: 0.6363
Epoch 3 Batch 144/269 - Train Accuracy: 0.6354, Validation Accuracy: 0.6328, Loss: 0.6162
Epoch 3 Batch 145/269 - Train Accuracy: 0.6360, Validation Accuracy: 0.6331, Loss: 0.6341
Epoch 3 Batch 146/269 - Train Accuracy: 0.6344, Validation Accuracy: 0.6404, Loss: 0.6242
Epoch 3 Batch 147/269 - Train Accuracy: 0.6526, Validation Accuracy: 0.6454, Loss: 0.6053
Epoch 3 Batch 148/269 - Train Accuracy: 0.6232, Validation Accuracy: 0.6428, Loss: 0.6475
Epoch 3 Batch 149/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6353, Loss: 0.6464
Epoch 3 Batch 150/269 - Train Accuracy: 0.6322, Validation Accuracy: 0.6372, Loss: 0.6441
Epoch 3 Batch 151/269 - Train Accuracy: 0.6486, Validation Accuracy: 0.6369, Loss: 0.6166
Epoch 3 Batch 152/269 - Train Accuracy: 0.6391, Validation Accuracy: 0.6310, Loss: 0.6350
Epoch 3 Batch 153/269 - Train Accuracy: 0.6271, Validation Accuracy: 0.6372, Loss: 0.6216
Epoch 3 Batch 154/269 - Train Accuracy: 0.6209, Validation Accuracy: 0.6342, Loss: 0.6423
Epoch 3 Batch 155/269 - Train Accuracy: 0.6523, Validation Accuracy: 0.6395, Loss: 0.5998
Epoch 3 Batch 156/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6358, Loss: 0.6588
Epoch 3 Batch 157/269 - Train Accuracy: 0.6235, Validation Accuracy: 0.6420, Loss: 0.6283
Epoch 3 Batch 158/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6395, Loss: 0.6283
Epoch 3 Batch 159/269 - Train Accuracy: 0.6246, Validation Accuracy: 0.6394, Loss: 0.6334
Epoch 3 Batch 160/269 - Train Accuracy: 0.6239, Validation Accuracy: 0.6429, Loss: 0.6284
Epoch 3 Batch 161/269 - Train Accuracy: 0.6213, Validation Accuracy: 0.6356, Loss: 0.6297
Epoch 3 Batch 162/269 - Train Accuracy: 0.6463, Validation Accuracy: 0.6364, Loss: 0.6242
Epoch 3 Batch 163/269 - Train Accuracy: 0.6408, Validation Accuracy: 0.6375, Loss: 0.6132
Epoch 3 Batch 164/269 - Train Accuracy: 0.6441, Validation Accuracy: 0.6431, Loss: 0.6200
Epoch 3 Batch 165/269 - Train Accuracy: 0.6086, Validation Accuracy: 0.6383, Loss: 0.6400
Epoch 3 Batch 166/269 - Train Accuracy: 0.6442, Validation Accuracy: 0.6400, Loss: 0.5935
Epoch 3 Batch 167/269 - Train Accuracy: 0.6312, Validation Accuracy: 0.6436, Loss: 0.6256
Epoch 3 Batch 168/269 - Train Accuracy: 0.6219, Validation Accuracy: 0.6429, Loss: 0.6283
Epoch 3 Batch 169/269 - Train Accuracy: 0.6336, Validation Accuracy: 0.6427, Loss: 0.6283
Epoch 3 Batch 170/269 - Train Accuracy: 0.6326, Validation Accuracy: 0.6397, Loss: 0.6114
Epoch 3 Batch 171/269 - Train Accuracy: 0.6447, Validation Accuracy: 0.6409, Loss: 0.6484
Epoch 3 Batch 172/269 - Train Accuracy: 0.6187, Validation Accuracy: 0.6413, Loss: 0.6312
Epoch 3 Batch 173/269 - Train Accuracy: 0.6414, Validation Accuracy: 0.6415, Loss: 0.6124
Epoch 3 Batch 174/269 - Train Accuracy: 0.6284, Validation Accuracy: 0.6381, Loss: 0.6198
Epoch 3 Batch 175/269 - Train Accuracy: 0.6248, Validation Accuracy: 0.6406, Loss: 0.6319
Epoch 3 Batch 176/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6452, Loss: 0.6644
Epoch 3 Batch 177/269 - Train Accuracy: 0.6435, Validation Accuracy: 0.6439, Loss: 0.5957
Epoch 3 Batch 178/269 - Train Accuracy: 0.6186, Validation Accuracy: 0.6403, Loss: 0.6350
Epoch 3 Batch 179/269 - Train Accuracy: 0.6218, Validation Accuracy: 0.6390, Loss: 0.6250
Epoch 3 Batch 180/269 - Train Accuracy: 0.6350, Validation Accuracy: 0.6356, Loss: 0.6074
Epoch 3 Batch 181/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6357, Loss: 0.6278
Epoch 3 Batch 182/269 - Train Accuracy: 0.6407, Validation Accuracy: 0.6345, Loss: 0.6184
Epoch 3 Batch 183/269 - Train Accuracy: 0.6880, Validation Accuracy: 0.6366, Loss: 0.5311
Epoch 3 Batch 184/269 - Train Accuracy: 0.6112, Validation Accuracy: 0.6381, Loss: 0.6410
Epoch 3 Batch 185/269 - Train Accuracy: 0.6416, Validation Accuracy: 0.6405, Loss: 0.6113
Epoch 3 Batch 186/269 - Train Accuracy: 0.6135, Validation Accuracy: 0.6367, Loss: 0.6387
Epoch 3 Batch 187/269 - Train Accuracy: 0.6374, Validation Accuracy: 0.6396, Loss: 0.6036
Epoch 3 Batch 188/269 - Train Accuracy: 0.6393, Validation Accuracy: 0.6403, Loss: 0.5998
Epoch 3 Batch 189/269 - Train Accuracy: 0.6401, Validation Accuracy: 0.6405, Loss: 0.5980
Epoch 3 Batch 190/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6400, Loss: 0.6013
Epoch 3 Batch 191/269 - Train Accuracy: 0.6542, Validation Accuracy: 0.6419, Loss: 0.6041
Epoch 3 Batch 192/269 - Train Accuracy: 0.6422, Validation Accuracy: 0.6373, Loss: 0.6133
Epoch 3 Batch 193/269 - Train Accuracy: 0.6475, Validation Accuracy: 0.6398, Loss: 0.6053
Epoch 3 Batch 194/269 - Train Accuracy: 0.6348, Validation Accuracy: 0.6398, Loss: 0.6140
Epoch 3 Batch 195/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6411, Loss: 0.6117
Epoch 3 Batch 196/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6389, Loss: 0.6122
Epoch 3 Batch 197/269 - Train Accuracy: 0.6127, Validation Accuracy: 0.6363, Loss: 0.6431
Epoch 3 Batch 198/269 - Train Accuracy: 0.6148, Validation Accuracy: 0.6371, Loss: 0.6461
Epoch 3 Batch 199/269 - Train Accuracy: 0.6421, Validation Accuracy: 0.6388, Loss: 0.6331
Epoch 3 Batch 200/269 - Train Accuracy: 0.6292, Validation Accuracy: 0.6396, Loss: 0.6238
Epoch 3 Batch 201/269 - Train Accuracy: 0.6409, Validation Accuracy: 0.6460, Loss: 0.6133
Epoch 3 Batch 202/269 - Train Accuracy: 0.6382, Validation Accuracy: 0.6440, Loss: 0.6125
Epoch 3 Batch 203/269 - Train Accuracy: 0.6187, Validation Accuracy: 0.6405, Loss: 0.6505
Epoch 3 Batch 204/269 - Train Accuracy: 0.6340, Validation Accuracy: 0.6404, Loss: 0.6502
Epoch 3 Batch 205/269 - Train Accuracy: 0.6489, Validation Accuracy: 0.6347, Loss: 0.6003
Epoch 3 Batch 206/269 - Train Accuracy: 0.6227, Validation Accuracy: 0.6364, Loss: 0.6379
Epoch 3 Batch 207/269 - Train Accuracy: 0.6519, Validation Accuracy: 0.6430, Loss: 0.5982
Epoch 3 Batch 208/269 - Train Accuracy: 0.6214, Validation Accuracy: 0.6448, Loss: 0.6398
Epoch 3 Batch 209/269 - Train Accuracy: 0.6374, Validation Accuracy: 0.6404, Loss: 0.6136
Epoch 3 Batch 210/269 - Train Accuracy: 0.6415, Validation Accuracy: 0.6397, Loss: 0.6032
Epoch 3 Batch 211/269 - Train Accuracy: 0.6263, Validation Accuracy: 0.6364, Loss: 0.6193
Epoch 3 Batch 212/269 - Train Accuracy: 0.6458, Validation Accuracy: 0.6398, Loss: 0.5971
Epoch 3 Batch 213/269 - Train Accuracy: 0.6349, Validation Accuracy: 0.6345, Loss: 0.6011
Epoch 3 Batch 214/269 - Train Accuracy: 0.6408, Validation Accuracy: 0.6404, Loss: 0.6099
Epoch 3 Batch 215/269 - Train Accuracy: 0.6632, Validation Accuracy: 0.6382, Loss: 0.5669
Epoch 3 Batch 216/269 - Train Accuracy: 0.6142, Validation Accuracy: 0.6507, Loss: 0.6475
Epoch 3 Batch 217/269 - Train Accuracy: 0.6105, Validation Accuracy: 0.6499, Loss: 0.6330
Epoch 3 Batch 218/269 - Train Accuracy: 0.6303, Validation Accuracy: 0.6373, Loss: 0.6243
Epoch 3 Batch 219/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6359, Loss: 0.6388
Epoch 3 Batch 220/269 - Train Accuracy: 0.6476, Validation Accuracy: 0.6370, Loss: 0.5705
Epoch 3 Batch 221/269 - Train Accuracy: 0.6630, Validation Accuracy: 0.6444, Loss: 0.5958
Epoch 3 Batch 222/269 - Train Accuracy: 0.6576, Validation Accuracy: 0.6362, Loss: 0.5823
Epoch 3 Batch 223/269 - Train Accuracy: 0.6239, Validation Accuracy: 0.6350, Loss: 0.5926
Epoch 3 Batch 224/269 - Train Accuracy: 0.6422, Validation Accuracy: 0.6344, Loss: 0.6214
Epoch 3 Batch 225/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6460, Loss: 0.6048
Epoch 3 Batch 226/269 - Train Accuracy: 0.6607, Validation Accuracy: 0.6550, Loss: 0.6035
Epoch 3 Batch 227/269 - Train Accuracy: 0.6966, Validation Accuracy: 0.6440, Loss: 0.5360
Epoch 3 Batch 228/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6372, Loss: 0.5991
Epoch 3 Batch 229/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6349, Loss: 0.5879
Epoch 3 Batch 230/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6452, Loss: 0.5912
Epoch 3 Batch 231/269 - Train Accuracy: 0.6308, Validation Accuracy: 0.6539, Loss: 0.6278
Epoch 3 Batch 232/269 - Train Accuracy: 0.6257, Validation Accuracy: 0.6490, Loss: 0.6245
Epoch 3 Batch 233/269 - Train Accuracy: 0.6438, Validation Accuracy: 0.6462, Loss: 0.6027
Epoch 3 Batch 234/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6444, Loss: 0.5949
Epoch 3 Batch 235/269 - Train Accuracy: 0.6496, Validation Accuracy: 0.6473, Loss: 0.5851
Epoch 3 Batch 236/269 - Train Accuracy: 0.6337, Validation Accuracy: 0.6461, Loss: 0.5875
Epoch 3 Batch 237/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6422, Loss: 0.5880
Epoch 3 Batch 238/269 - Train Accuracy: 0.6513, Validation Accuracy: 0.6365, Loss: 0.5892
Epoch 3 Batch 239/269 - Train Accuracy: 0.6379, Validation Accuracy: 0.6423, Loss: 0.5883
Epoch 3 Batch 240/269 - Train Accuracy: 0.6707, Validation Accuracy: 0.6458, Loss: 0.5481
Epoch 3 Batch 241/269 - Train Accuracy: 0.6478, Validation Accuracy: 0.6387, Loss: 0.6014
Epoch 3 Batch 242/269 - Train Accuracy: 0.6338, Validation Accuracy: 0.6411, Loss: 0.5931
Epoch 3 Batch 243/269 - Train Accuracy: 0.6632, Validation Accuracy: 0.6430, Loss: 0.5758
Epoch 3 Batch 244/269 - Train Accuracy: 0.6528, Validation Accuracy: 0.6460, Loss: 0.5946
Epoch 3 Batch 245/269 - Train Accuracy: 0.6249, Validation Accuracy: 0.6500, Loss: 0.6268
Epoch 3 Batch 246/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6496, Loss: 0.5965
Epoch 3 Batch 247/269 - Train Accuracy: 0.6236, Validation Accuracy: 0.6409, Loss: 0.6192
Epoch 3 Batch 248/269 - Train Accuracy: 0.6410, Validation Accuracy: 0.6501, Loss: 0.5875
Epoch 3 Batch 249/269 - Train Accuracy: 0.6715, Validation Accuracy: 0.6521, Loss: 0.5603
Epoch 3 Batch 250/269 - Train Accuracy: 0.6266, Validation Accuracy: 0.6460, Loss: 0.6060
Epoch 3 Batch 251/269 - Train Accuracy: 0.6549, Validation Accuracy: 0.6434, Loss: 0.5829
Epoch 3 Batch 252/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6447, Loss: 0.5991
Epoch 3 Batch 253/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6548, Loss: 0.6008
Epoch 3 Batch 254/269 - Train Accuracy: 0.6413, Validation Accuracy: 0.6469, Loss: 0.5942
Epoch 3 Batch 255/269 - Train Accuracy: 0.6466, Validation Accuracy: 0.6395, Loss: 0.5745
Epoch 3 Batch 256/269 - Train Accuracy: 0.6380, Validation Accuracy: 0.6506, Loss: 0.5957
Epoch 3 Batch 257/269 - Train Accuracy: 0.6359, Validation Accuracy: 0.6580, Loss: 0.6033
Epoch 3 Batch 258/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6544, Loss: 0.5980
Epoch 3 Batch 259/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6317, Loss: 0.5860
Epoch 3 Batch 260/269 - Train Accuracy: 0.6261, Validation Accuracy: 0.6532, Loss: 0.6261
Epoch 3 Batch 261/269 - Train Accuracy: 0.6272, Validation Accuracy: 0.6600, Loss: 0.6185
Epoch 3 Batch 262/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6440, Loss: 0.5916
Epoch 3 Batch 263/269 - Train Accuracy: 0.6267, Validation Accuracy: 0.6359, Loss: 0.6072
Epoch 3 Batch 264/269 - Train Accuracy: 0.6141, Validation Accuracy: 0.6385, Loss: 0.6126
Epoch 3 Batch 265/269 - Train Accuracy: 0.6208, Validation Accuracy: 0.6505, Loss: 0.6105
Epoch 3 Batch 266/269 - Train Accuracy: 0.6680, Validation Accuracy: 0.6582, Loss: 0.5795
Epoch 3 Batch 267/269 - Train Accuracy: 0.6429, Validation Accuracy: 0.6557, Loss: 0.5925
Epoch 4 Batch 1/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6425, Loss: 0.6001
Epoch 4 Batch 2/269 - Train Accuracy: 0.6329, Validation Accuracy: 0.6477, Loss: 0.5906
Epoch 4 Batch 3/269 - Train Accuracy: 0.6386, Validation Accuracy: 0.6466, Loss: 0.5973
Epoch 4 Batch 4/269 - Train Accuracy: 0.6025, Validation Accuracy: 0.6517, Loss: 0.6053
Epoch 4 Batch 5/269 - Train Accuracy: 0.6252, Validation Accuracy: 0.6506, Loss: 0.6014
Epoch 4 Batch 6/269 - Train Accuracy: 0.6507, Validation Accuracy: 0.6453, Loss: 0.5604
Epoch 4 Batch 7/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6479, Loss: 0.5702
Epoch 4 Batch 8/269 - Train Accuracy: 0.6272, Validation Accuracy: 0.6536, Loss: 0.6103
Epoch 4 Batch 9/269 - Train Accuracy: 0.6295, Validation Accuracy: 0.6395, Loss: 0.5892
Epoch 4 Batch 10/269 - Train Accuracy: 0.6415, Validation Accuracy: 0.6578, Loss: 0.5980
Epoch 4 Batch 11/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6562, Loss: 0.5923
Epoch 4 Batch 12/269 - Train Accuracy: 0.6394, Validation Accuracy: 0.6507, Loss: 0.6050
Epoch 4 Batch 13/269 - Train Accuracy: 0.6469, Validation Accuracy: 0.6473, Loss: 0.5407
Epoch 4 Batch 14/269 - Train Accuracy: 0.6360, Validation Accuracy: 0.6380, Loss: 0.5759
Epoch 4 Batch 15/269 - Train Accuracy: 0.6449, Validation Accuracy: 0.6586, Loss: 0.5675
Epoch 4 Batch 16/269 - Train Accuracy: 0.6535, Validation Accuracy: 0.6590, Loss: 0.5714
Epoch 4 Batch 17/269 - Train Accuracy: 0.6497, Validation Accuracy: 0.6492, Loss: 0.5706
Epoch 4 Batch 18/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6465, Loss: 0.5874
Epoch 4 Batch 19/269 - Train Accuracy: 0.6643, Validation Accuracy: 0.6424, Loss: 0.5418
Epoch 4 Batch 20/269 - Train Accuracy: 0.6547, Validation Accuracy: 0.6617, Loss: 0.6010
Epoch 4 Batch 21/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6609, Loss: 0.6117
Epoch 4 Batch 22/269 - Train Accuracy: 0.6633, Validation Accuracy: 0.6521, Loss: 0.5580
Epoch 4 Batch 23/269 - Train Accuracy: 0.6489, Validation Accuracy: 0.6486, Loss: 0.5687
Epoch 4 Batch 24/269 - Train Accuracy: 0.6393, Validation Accuracy: 0.6574, Loss: 0.6027
Epoch 4 Batch 25/269 - Train Accuracy: 0.6482, Validation Accuracy: 0.6618, Loss: 0.6063
Epoch 4 Batch 26/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6522, Loss: 0.5368
Epoch 4 Batch 27/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6523, Loss: 0.5693
Epoch 4 Batch 28/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6559, Loss: 0.6149
Epoch 4 Batch 29/269 - Train Accuracy: 0.6488, Validation Accuracy: 0.6534, Loss: 0.6037
Epoch 4 Batch 30/269 - Train Accuracy: 0.6628, Validation Accuracy: 0.6531, Loss: 0.5632
Epoch 4 Batch 31/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6523, Loss: 0.5621
Epoch 4 Batch 32/269 - Train Accuracy: 0.6447, Validation Accuracy: 0.6538, Loss: 0.5623
Epoch 4 Batch 33/269 - Train Accuracy: 0.6749, Validation Accuracy: 0.6547, Loss: 0.5447
Epoch 4 Batch 34/269 - Train Accuracy: 0.6554, Validation Accuracy: 0.6547, Loss: 0.5670
Epoch 4 Batch 35/269 - Train Accuracy: 0.6464, Validation Accuracy: 0.6546, Loss: 0.5812
Epoch 4 Batch 36/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6570, Loss: 0.5657
Epoch 4 Batch 37/269 - Train Accuracy: 0.6586, Validation Accuracy: 0.6524, Loss: 0.5636
Epoch 4 Batch 38/269 - Train Accuracy: 0.6488, Validation Accuracy: 0.6493, Loss: 0.5658
Epoch 4 Batch 39/269 - Train Accuracy: 0.6443, Validation Accuracy: 0.6503, Loss: 0.5566
Epoch 4 Batch 40/269 - Train Accuracy: 0.6284, Validation Accuracy: 0.6456, Loss: 0.5849
Epoch 4 Batch 41/269 - Train Accuracy: 0.6276, Validation Accuracy: 0.6477, Loss: 0.5752
Epoch 4 Batch 42/269 - Train Accuracy: 0.6663, Validation Accuracy: 0.6464, Loss: 0.5393
Epoch 4 Batch 43/269 - Train Accuracy: 0.6437, Validation Accuracy: 0.6578, Loss: 0.5901
Epoch 4 Batch 44/269 - Train Accuracy: 0.6474, Validation Accuracy: 0.6535, Loss: 0.5716
Epoch 4 Batch 45/269 - Train Accuracy: 0.6381, Validation Accuracy: 0.6523, Loss: 0.5898
Epoch 4 Batch 46/269 - Train Accuracy: 0.6292, Validation Accuracy: 0.6562, Loss: 0.5783
Epoch 4 Batch 47/269 - Train Accuracy: 0.6716, Validation Accuracy: 0.6570, Loss: 0.5215
Epoch 4 Batch 48/269 - Train Accuracy: 0.6618, Validation Accuracy: 0.6503, Loss: 0.5482
Epoch 4 Batch 49/269 - Train Accuracy: 0.6247, Validation Accuracy: 0.6499, Loss: 0.5770
Epoch 4 Batch 50/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6498, Loss: 0.5804
Epoch 4 Batch 51/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6485, Loss: 0.5683
Epoch 4 Batch 52/269 - Train Accuracy: 0.6361, Validation Accuracy: 0.6480, Loss: 0.5419
Epoch 4 Batch 53/269 - Train Accuracy: 0.6456, Validation Accuracy: 0.6547, Loss: 0.5954
Epoch 4 Batch 54/269 - Train Accuracy: 0.6483, Validation Accuracy: 0.6556, Loss: 0.5805
Epoch 4 Batch 55/269 - Train Accuracy: 0.6556, Validation Accuracy: 0.6444, Loss: 0.5552
Epoch 4 Batch 56/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6514, Loss: 0.5680
Epoch 4 Batch 57/269 - Train Accuracy: 0.6571, Validation Accuracy: 0.6617, Loss: 0.5726
Epoch 4 Batch 58/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6583, Loss: 0.5558
Epoch 4 Batch 59/269 - Train Accuracy: 0.6712, Validation Accuracy: 0.6485, Loss: 0.5373
Epoch 4 Batch 60/269 - Train Accuracy: 0.6648, Validation Accuracy: 0.6584, Loss: 0.5307
Epoch 4 Batch 61/269 - Train Accuracy: 0.6675, Validation Accuracy: 0.6574, Loss: 0.5229
Epoch 4 Batch 62/269 - Train Accuracy: 0.6614, Validation Accuracy: 0.6546, Loss: 0.5377
Epoch 4 Batch 63/269 - Train Accuracy: 0.6377, Validation Accuracy: 0.6586, Loss: 0.5666
Epoch 4 Batch 64/269 - Train Accuracy: 0.6607, Validation Accuracy: 0.6614, Loss: 0.5386
Epoch 4 Batch 65/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6607, Loss: 0.5556
Epoch 4 Batch 66/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6544, Loss: 0.5419
Epoch 4 Batch 67/269 - Train Accuracy: 0.6496, Validation Accuracy: 0.6590, Loss: 0.5644
Epoch 4 Batch 68/269 - Train Accuracy: 0.6635, Validation Accuracy: 0.6573, Loss: 0.5582
Epoch 4 Batch 69/269 - Train Accuracy: 0.5952, Validation Accuracy: 0.6539, Loss: 0.6121
Epoch 4 Batch 70/269 - Train Accuracy: 0.6569, Validation Accuracy: 0.6504, Loss: 0.5651
Epoch 4 Batch 71/269 - Train Accuracy: 0.6246, Validation Accuracy: 0.6509, Loss: 0.5973
Epoch 4 Batch 72/269 - Train Accuracy: 0.6535, Validation Accuracy: 0.6507, Loss: 0.5721
Epoch 4 Batch 73/269 - Train Accuracy: 0.6494, Validation Accuracy: 0.6608, Loss: 0.5854
Epoch 4 Batch 74/269 - Train Accuracy: 0.6503, Validation Accuracy: 0.6587, Loss: 0.5697
Epoch 4 Batch 75/269 - Train Accuracy: 0.6590, Validation Accuracy: 0.6552, Loss: 0.5608
Epoch 4 Batch 76/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6476, Loss: 0.5758
Epoch 4 Batch 77/269 - Train Accuracy: 0.6541, Validation Accuracy: 0.6507, Loss: 0.5543
Epoch 4 Batch 78/269 - Train Accuracy: 0.6598, Validation Accuracy: 0.6615, Loss: 0.5554
Epoch 4 Batch 79/269 - Train Accuracy: 0.6385, Validation Accuracy: 0.6606, Loss: 0.5535
Epoch 4 Batch 80/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6589, Loss: 0.5529
Epoch 4 Batch 81/269 - Train Accuracy: 0.6588, Validation Accuracy: 0.6567, Loss: 0.5744
Epoch 4 Batch 82/269 - Train Accuracy: 0.6695, Validation Accuracy: 0.6589, Loss: 0.5363
Epoch 4 Batch 83/269 - Train Accuracy: 0.6567, Validation Accuracy: 0.6657, Loss: 0.5583
Epoch 4 Batch 84/269 - Train Accuracy: 0.6534, Validation Accuracy: 0.6633, Loss: 0.5350
Epoch 4 Batch 85/269 - Train Accuracy: 0.6469, Validation Accuracy: 0.6618, Loss: 0.5541
Epoch 4 Batch 86/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6593, Loss: 0.5507
Epoch 4 Batch 87/269 - Train Accuracy: 0.6432, Validation Accuracy: 0.6669, Loss: 0.5860
Epoch 4 Batch 88/269 - Train Accuracy: 0.6518, Validation Accuracy: 0.6628, Loss: 0.5530
Epoch 4 Batch 89/269 - Train Accuracy: 0.6606, Validation Accuracy: 0.6641, Loss: 0.5567
Epoch 4 Batch 90/269 - Train Accuracy: 0.6229, Validation Accuracy: 0.6594, Loss: 0.5865
Epoch 4 Batch 91/269 - Train Accuracy: 0.6648, Validation Accuracy: 0.6614, Loss: 0.5276
Epoch 4 Batch 92/269 - Train Accuracy: 0.6745, Validation Accuracy: 0.6675, Loss: 0.5399
Epoch 4 Batch 93/269 - Train Accuracy: 0.6809, Validation Accuracy: 0.6661, Loss: 0.5248
Epoch 4 Batch 94/269 - Train Accuracy: 0.6540, Validation Accuracy: 0.6695, Loss: 0.5646
Epoch 4 Batch 95/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6635, Loss: 0.5436
Epoch 4 Batch 96/269 - Train Accuracy: 0.6580, Validation Accuracy: 0.6635, Loss: 0.5474
Epoch 4 Batch 97/269 - Train Accuracy: 0.6695, Validation Accuracy: 0.6648, Loss: 0.5410
Epoch 4 Batch 98/269 - Train Accuracy: 0.6669, Validation Accuracy: 0.6645, Loss: 0.5450
Epoch 4 Batch 99/269 - Train Accuracy: 0.6454, Validation Accuracy: 0.6658, Loss: 0.5625
Epoch 4 Batch 100/269 - Train Accuracy: 0.6817, Validation Accuracy: 0.6612, Loss: 0.5359
Epoch 4 Batch 101/269 - Train Accuracy: 0.6274, Validation Accuracy: 0.6636, Loss: 0.5873
Epoch 4 Batch 102/269 - Train Accuracy: 0.6505, Validation Accuracy: 0.6621, Loss: 0.5539
Epoch 4 Batch 103/269 - Train Accuracy: 0.6763, Validation Accuracy: 0.6634, Loss: 0.5456
Epoch 4 Batch 104/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6609, Loss: 0.5455
Epoch 4 Batch 105/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6618, Loss: 0.5521
Epoch 4 Batch 106/269 - Train Accuracy: 0.6531, Validation Accuracy: 0.6626, Loss: 0.5428
Epoch 4 Batch 107/269 - Train Accuracy: 0.6224, Validation Accuracy: 0.6622, Loss: 0.5728
Epoch 4 Batch 108/269 - Train Accuracy: 0.6676, Validation Accuracy: 0.6653, Loss: 0.5464
Epoch 4 Batch 109/269 - Train Accuracy: 0.6457, Validation Accuracy: 0.6604, Loss: 0.5544
Epoch 4 Batch 110/269 - Train Accuracy: 0.6473, Validation Accuracy: 0.6518, Loss: 0.5310
Epoch 4 Batch 111/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6599, Loss: 0.5794
Epoch 4 Batch 112/269 - Train Accuracy: 0.6505, Validation Accuracy: 0.6625, Loss: 0.5439
Epoch 4 Batch 113/269 - Train Accuracy: 0.6616, Validation Accuracy: 0.6657, Loss: 0.5246
Epoch 4 Batch 114/269 - Train Accuracy: 0.6661, Validation Accuracy: 0.6693, Loss: 0.5450
Epoch 4 Batch 115/269 - Train Accuracy: 0.6409, Validation Accuracy: 0.6657, Loss: 0.5660
Epoch 4 Batch 116/269 - Train Accuracy: 0.6652, Validation Accuracy: 0.6689, Loss: 0.5501
Epoch 4 Batch 117/269 - Train Accuracy: 0.6570, Validation Accuracy: 0.6573, Loss: 0.5429
Epoch 4 Batch 118/269 - Train Accuracy: 0.6565, Validation Accuracy: 0.6525, Loss: 0.5221
Epoch 4 Batch 119/269 - Train Accuracy: 0.6364, Validation Accuracy: 0.6602, Loss: 0.5661
Epoch 4 Batch 120/269 - Train Accuracy: 0.6437, Validation Accuracy: 0.6678, Loss: 0.5594
Epoch 4 Batch 121/269 - Train Accuracy: 0.6647, Validation Accuracy: 0.6630, Loss: 0.5364
Epoch 4 Batch 122/269 - Train Accuracy: 0.6619, Validation Accuracy: 0.6628, Loss: 0.5327
Epoch 4 Batch 123/269 - Train Accuracy: 0.6635, Validation Accuracy: 0.6673, Loss: 0.5623
Epoch 4 Batch 124/269 - Train Accuracy: 0.6585, Validation Accuracy: 0.6643, Loss: 0.5244
Epoch 4 Batch 125/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6630, Loss: 0.5284
Epoch 4 Batch 126/269 - Train Accuracy: 0.6645, Validation Accuracy: 0.6629, Loss: 0.5294
Epoch 4 Batch 127/269 - Train Accuracy: 0.6439, Validation Accuracy: 0.6658, Loss: 0.5581
Epoch 4 Batch 128/269 - Train Accuracy: 0.6692, Validation Accuracy: 0.6628, Loss: 0.5400
Epoch 4 Batch 129/269 - Train Accuracy: 0.6616, Validation Accuracy: 0.6672, Loss: 0.5374
Epoch 4 Batch 130/269 - Train Accuracy: 0.6337, Validation Accuracy: 0.6648, Loss: 0.5606
Epoch 4 Batch 131/269 - Train Accuracy: 0.6339, Validation Accuracy: 0.6598, Loss: 0.5565
Epoch 4 Batch 132/269 - Train Accuracy: 0.6355, Validation Accuracy: 0.6655, Loss: 0.5500
Epoch 4 Batch 133/269 - Train Accuracy: 0.6653, Validation Accuracy: 0.6611, Loss: 0.5249
Epoch 4 Batch 134/269 - Train Accuracy: 0.6405, Validation Accuracy: 0.6652, Loss: 0.5522
Epoch 4 Batch 135/269 - Train Accuracy: 0.6280, Validation Accuracy: 0.6599, Loss: 0.5723
Epoch 4 Batch 136/269 - Train Accuracy: 0.6342, Validation Accuracy: 0.6590, Loss: 0.5692
Epoch 4 Batch 137/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6597, Loss: 0.5622
Epoch 4 Batch 138/269 - Train Accuracy: 0.6637, Validation Accuracy: 0.6598, Loss: 0.5471
Epoch 4 Batch 139/269 - Train Accuracy: 0.6604, Validation Accuracy: 0.6645, Loss: 0.5177
Epoch 4 Batch 140/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6607, Loss: 0.5550
Epoch 4 Batch 141/269 - Train Accuracy: 0.6485, Validation Accuracy: 0.6634, Loss: 0.5539
Epoch 4 Batch 142/269 - Train Accuracy: 0.6710, Validation Accuracy: 0.6716, Loss: 0.5246
Epoch 4 Batch 143/269 - Train Accuracy: 0.6533, Validation Accuracy: 0.6655, Loss: 0.5294
Epoch 4 Batch 144/269 - Train Accuracy: 0.6722, Validation Accuracy: 0.6648, Loss: 0.5177
Epoch 4 Batch 145/269 - Train Accuracy: 0.6478, Validation Accuracy: 0.6622, Loss: 0.5319
Epoch 4 Batch 146/269 - Train Accuracy: 0.6527, Validation Accuracy: 0.6634, Loss: 0.5251
Epoch 4 Batch 147/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6652, Loss: 0.5085
Epoch 4 Batch 148/269 - Train Accuracy: 0.6458, Validation Accuracy: 0.6742, Loss: 0.5356
Epoch 4 Batch 149/269 - Train Accuracy: 0.6537, Validation Accuracy: 0.6671, Loss: 0.5430
Epoch 4 Batch 150/269 - Train Accuracy: 0.6647, Validation Accuracy: 0.6735, Loss: 0.5394
Epoch 4 Batch 151/269 - Train Accuracy: 0.6832, Validation Accuracy: 0.6739, Loss: 0.5133
Epoch 4 Batch 152/269 - Train Accuracy: 0.6537, Validation Accuracy: 0.6654, Loss: 0.5323
Epoch 4 Batch 153/269 - Train Accuracy: 0.6682, Validation Accuracy: 0.6688, Loss: 0.5211
Epoch 4 Batch 154/269 - Train Accuracy: 0.6657, Validation Accuracy: 0.6718, Loss: 0.5393
Epoch 4 Batch 155/269 - Train Accuracy: 0.6883, Validation Accuracy: 0.6784, Loss: 0.5102
Epoch 4 Batch 156/269 - Train Accuracy: 0.6406, Validation Accuracy: 0.6646, Loss: 0.5485
Epoch 4 Batch 157/269 - Train Accuracy: 0.6435, Validation Accuracy: 0.6690, Loss: 0.5294
Epoch 4 Batch 158/269 - Train Accuracy: 0.6547, Validation Accuracy: 0.6729, Loss: 0.5250
Epoch 4 Batch 159/269 - Train Accuracy: 0.6549, Validation Accuracy: 0.6680, Loss: 0.5344
Epoch 4 Batch 160/269 - Train Accuracy: 0.6597, Validation Accuracy: 0.6672, Loss: 0.5209
Epoch 4 Batch 161/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6711, Loss: 0.5319
Epoch 4 Batch 162/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6692, Loss: 0.5213
Epoch 4 Batch 163/269 - Train Accuracy: 0.6519, Validation Accuracy: 0.6649, Loss: 0.5213
Epoch 4 Batch 164/269 - Train Accuracy: 0.6677, Validation Accuracy: 0.6693, Loss: 0.5243
Epoch 4 Batch 165/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6697, Loss: 0.5411
Epoch 4 Batch 166/269 - Train Accuracy: 0.6683, Validation Accuracy: 0.6768, Loss: 0.5087
Epoch 4 Batch 167/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6645, Loss: 0.5297
Epoch 4 Batch 168/269 - Train Accuracy: 0.6563, Validation Accuracy: 0.6709, Loss: 0.5366
Epoch 4 Batch 169/269 - Train Accuracy: 0.6709, Validation Accuracy: 0.6730, Loss: 0.5305
Epoch 4 Batch 170/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6693, Loss: 0.5290
Epoch 4 Batch 171/269 - Train Accuracy: 0.6698, Validation Accuracy: 0.6700, Loss: 0.5429
Epoch 4 Batch 172/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6674, Loss: 0.5509
Epoch 4 Batch 173/269 - Train Accuracy: 0.6773, Validation Accuracy: 0.6744, Loss: 0.5110
Epoch 4 Batch 174/269 - Train Accuracy: 0.6511, Validation Accuracy: 0.6735, Loss: 0.5256
Epoch 4 Batch 175/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6725, Loss: 0.5422
Epoch 4 Batch 176/269 - Train Accuracy: 0.6450, Validation Accuracy: 0.6721, Loss: 0.5578
Epoch 4 Batch 177/269 - Train Accuracy: 0.6900, Validation Accuracy: 0.6734, Loss: 0.4982
Epoch 4 Batch 178/269 - Train Accuracy: 0.6521, Validation Accuracy: 0.6703, Loss: 0.5346
Epoch 4 Batch 179/269 - Train Accuracy: 0.6527, Validation Accuracy: 0.6721, Loss: 0.5291
Epoch 4 Batch 180/269 - Train Accuracy: 0.6639, Validation Accuracy: 0.6673, Loss: 0.5137
Epoch 4 Batch 181/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6708, Loss: 0.5265
Epoch 4 Batch 182/269 - Train Accuracy: 0.6843, Validation Accuracy: 0.6720, Loss: 0.5276
Epoch 4 Batch 183/269 - Train Accuracy: 0.7183, Validation Accuracy: 0.6736, Loss: 0.4518
Epoch 4 Batch 184/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6715, Loss: 0.5361
Epoch 4 Batch 185/269 - Train Accuracy: 0.6784, Validation Accuracy: 0.6731, Loss: 0.5176
Epoch 4 Batch 186/269 - Train Accuracy: 0.6477, Validation Accuracy: 0.6717, Loss: 0.5392
Epoch 4 Batch 187/269 - Train Accuracy: 0.6740, Validation Accuracy: 0.6789, Loss: 0.5130
Epoch 4 Batch 188/269 - Train Accuracy: 0.6655, Validation Accuracy: 0.6710, Loss: 0.4988
Epoch 4 Batch 189/269 - Train Accuracy: 0.6650, Validation Accuracy: 0.6740, Loss: 0.5070
Epoch 4 Batch 190/269 - Train Accuracy: 0.6410, Validation Accuracy: 0.6743, Loss: 0.4971
Epoch 4 Batch 191/269 - Train Accuracy: 0.6752, Validation Accuracy: 0.6815, Loss: 0.5173
Epoch 4 Batch 192/269 - Train Accuracy: 0.6798, Validation Accuracy: 0.6818, Loss: 0.5196
Epoch 4 Batch 193/269 - Train Accuracy: 0.6859, Validation Accuracy: 0.6757, Loss: 0.5119
Epoch 4 Batch 194/269 - Train Accuracy: 0.6583, Validation Accuracy: 0.6793, Loss: 0.5214
Epoch 4 Batch 195/269 - Train Accuracy: 0.6702, Validation Accuracy: 0.6696, Loss: 0.5197
Epoch 4 Batch 196/269 - Train Accuracy: 0.6644, Validation Accuracy: 0.6690, Loss: 0.5093
Epoch 4 Batch 197/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6733, Loss: 0.5400
Epoch 4 Batch 198/269 - Train Accuracy: 0.6536, Validation Accuracy: 0.6722, Loss: 0.5409
Epoch 4 Batch 199/269 - Train Accuracy: 0.6813, Validation Accuracy: 0.6746, Loss: 0.5177
Epoch 4 Batch 200/269 - Train Accuracy: 0.6745, Validation Accuracy: 0.6670, Loss: 0.5285
Epoch 4 Batch 201/269 - Train Accuracy: 0.6790, Validation Accuracy: 0.6713, Loss: 0.5159
Epoch 4 Batch 202/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6687, Loss: 0.5117
Epoch 4 Batch 203/269 - Train Accuracy: 0.6445, Validation Accuracy: 0.6772, Loss: 0.5440
Epoch 4 Batch 204/269 - Train Accuracy: 0.6538, Validation Accuracy: 0.6719, Loss: 0.5394
Epoch 4 Batch 205/269 - Train Accuracy: 0.6827, Validation Accuracy: 0.6748, Loss: 0.5025
Epoch 4 Batch 206/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6702, Loss: 0.5293
Epoch 4 Batch 207/269 - Train Accuracy: 0.6772, Validation Accuracy: 0.6783, Loss: 0.5005
Epoch 4 Batch 208/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6801, Loss: 0.5366
Epoch 4 Batch 209/269 - Train Accuracy: 0.6743, Validation Accuracy: 0.6676, Loss: 0.5209
Epoch 4 Batch 210/269 - Train Accuracy: 0.6740, Validation Accuracy: 0.6645, Loss: 0.5007
Epoch 4 Batch 211/269 - Train Accuracy: 0.6803, Validation Accuracy: 0.6713, Loss: 0.5179
Epoch 4 Batch 212/269 - Train Accuracy: 0.6699, Validation Accuracy: 0.6711, Loss: 0.5013
Epoch 4 Batch 213/269 - Train Accuracy: 0.6719, Validation Accuracy: 0.6763, Loss: 0.5084
Epoch 4 Batch 214/269 - Train Accuracy: 0.6748, Validation Accuracy: 0.6756, Loss: 0.5141
Epoch 4 Batch 215/269 - Train Accuracy: 0.6949, Validation Accuracy: 0.6657, Loss: 0.4805
Epoch 4 Batch 216/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6775, Loss: 0.5510
Epoch 4 Batch 217/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6663, Loss: 0.5404
Epoch 4 Batch 218/269 - Train Accuracy: 0.6643, Validation Accuracy: 0.6767, Loss: 0.5383
Epoch 4 Batch 219/269 - Train Accuracy: 0.6729, Validation Accuracy: 0.6776, Loss: 0.5484
Epoch 4 Batch 220/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6667, Loss: 0.4816
Epoch 4 Batch 221/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.6625, Loss: 0.5099
Epoch 4 Batch 222/269 - Train Accuracy: 0.6887, Validation Accuracy: 0.6754, Loss: 0.5026
Epoch 4 Batch 223/269 - Train Accuracy: 0.6656, Validation Accuracy: 0.6709, Loss: 0.5032
Epoch 4 Batch 224/269 - Train Accuracy: 0.6619, Validation Accuracy: 0.6649, Loss: 0.5287
Epoch 4 Batch 225/269 - Train Accuracy: 0.6783, Validation Accuracy: 0.6746, Loss: 0.5241
Epoch 4 Batch 226/269 - Train Accuracy: 0.6921, Validation Accuracy: 0.6669, Loss: 0.4985
Epoch 4 Batch 227/269 - Train Accuracy: 0.7201, Validation Accuracy: 0.6735, Loss: 0.4699
Epoch 4 Batch 228/269 - Train Accuracy: 0.6671, Validation Accuracy: 0.6742, Loss: 0.5052
Epoch 4 Batch 229/269 - Train Accuracy: 0.6681, Validation Accuracy: 0.6750, Loss: 0.5023
Epoch 4 Batch 230/269 - Train Accuracy: 0.6783, Validation Accuracy: 0.6713, Loss: 0.5001
Epoch 4 Batch 231/269 - Train Accuracy: 0.6698, Validation Accuracy: 0.6723, Loss: 0.5386
Epoch 4 Batch 232/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6788, Loss: 0.5317
Epoch 4 Batch 233/269 - Train Accuracy: 0.6963, Validation Accuracy: 0.6785, Loss: 0.5173
Epoch 4 Batch 234/269 - Train Accuracy: 0.6717, Validation Accuracy: 0.6800, Loss: 0.5023
Epoch 4 Batch 235/269 - Train Accuracy: 0.6830, Validation Accuracy: 0.6831, Loss: 0.4963
Epoch 4 Batch 236/269 - Train Accuracy: 0.6644, Validation Accuracy: 0.6799, Loss: 0.4974
Epoch 4 Batch 237/269 - Train Accuracy: 0.6707, Validation Accuracy: 0.6787, Loss: 0.4997
Epoch 4 Batch 238/269 - Train Accuracy: 0.7127, Validation Accuracy: 0.6833, Loss: 0.4988
Epoch 4 Batch 239/269 - Train Accuracy: 0.6812, Validation Accuracy: 0.6880, Loss: 0.4966
Epoch 4 Batch 240/269 - Train Accuracy: 0.7031, Validation Accuracy: 0.6828, Loss: 0.4623
Epoch 4 Batch 241/269 - Train Accuracy: 0.6970, Validation Accuracy: 0.6788, Loss: 0.5109
Epoch 4 Batch 242/269 - Train Accuracy: 0.6718, Validation Accuracy: 0.6777, Loss: 0.4945
Epoch 4 Batch 243/269 - Train Accuracy: 0.6793, Validation Accuracy: 0.6798, Loss: 0.4870
Epoch 4 Batch 244/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6859, Loss: 0.4934
Epoch 4 Batch 245/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6822, Loss: 0.5267
Epoch 4 Batch 246/269 - Train Accuracy: 0.6626, Validation Accuracy: 0.6744, Loss: 0.5004
Epoch 4 Batch 247/269 - Train Accuracy: 0.6653, Validation Accuracy: 0.6758, Loss: 0.5168
Epoch 4 Batch 248/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.6744, Loss: 0.4852
Epoch 4 Batch 249/269 - Train Accuracy: 0.7025, Validation Accuracy: 0.6790, Loss: 0.4691
Epoch 4 Batch 250/269 - Train Accuracy: 0.6531, Validation Accuracy: 0.6711, Loss: 0.5027
Epoch 4 Batch 251/269 - Train Accuracy: 0.7079, Validation Accuracy: 0.6726, Loss: 0.4857
Epoch 4 Batch 252/269 - Train Accuracy: 0.6654, Validation Accuracy: 0.6774, Loss: 0.4992
Epoch 4 Batch 253/269 - Train Accuracy: 0.6499, Validation Accuracy: 0.6738, Loss: 0.5042
Epoch 4 Batch 254/269 - Train Accuracy: 0.6712, Validation Accuracy: 0.6756, Loss: 0.4943
Epoch 4 Batch 255/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6681, Loss: 0.4833
Epoch 4 Batch 256/269 - Train Accuracy: 0.6778, Validation Accuracy: 0.6755, Loss: 0.5058
Epoch 4 Batch 257/269 - Train Accuracy: 0.6801, Validation Accuracy: 0.6851, Loss: 0.5024
Epoch 4 Batch 258/269 - Train Accuracy: 0.6694, Validation Accuracy: 0.6789, Loss: 0.5028
Epoch 4 Batch 259/269 - Train Accuracy: 0.6897, Validation Accuracy: 0.6773, Loss: 0.4990
Epoch 4 Batch 260/269 - Train Accuracy: 0.6580, Validation Accuracy: 0.6848, Loss: 0.5200
Epoch 4 Batch 261/269 - Train Accuracy: 0.6663, Validation Accuracy: 0.6895, Loss: 0.5159
Epoch 4 Batch 262/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6867, Loss: 0.5016
Epoch 4 Batch 263/269 - Train Accuracy: 0.6572, Validation Accuracy: 0.6814, Loss: 0.5136
Epoch 4 Batch 264/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6812, Loss: 0.5360
Epoch 4 Batch 265/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6622, Loss: 0.5615
Epoch 4 Batch 266/269 - Train Accuracy: 0.6573, Validation Accuracy: 0.6603, Loss: 0.6630
Epoch 4 Batch 267/269 - Train Accuracy: 0.6273, Validation Accuracy: 0.6323, Loss: 0.5395
Epoch 5 Batch 1/269 - Train Accuracy: 0.6289, Validation Accuracy: 0.6541, Loss: 0.5419
Epoch 5 Batch 2/269 - Train Accuracy: 0.6328, Validation Accuracy: 0.6557, Loss: 0.5596
Epoch 5 Batch 3/269 - Train Accuracy: 0.6442, Validation Accuracy: 0.6539, Loss: 0.5941
Epoch 5 Batch 4/269 - Train Accuracy: 0.6196, Validation Accuracy: 0.6511, Loss: 0.5687
Epoch 5 Batch 5/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6484, Loss: 0.5532
Epoch 5 Batch 6/269 - Train Accuracy: 0.6732, Validation Accuracy: 0.6539, Loss: 0.5301
Epoch 5 Batch 7/269 - Train Accuracy: 0.6688, Validation Accuracy: 0.6645, Loss: 0.5369
Epoch 5 Batch 8/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6571, Loss: 0.5466
Epoch 5 Batch 9/269 - Train Accuracy: 0.6368, Validation Accuracy: 0.6646, Loss: 0.5330
Epoch 5 Batch 10/269 - Train Accuracy: 0.6618, Validation Accuracy: 0.6694, Loss: 0.5393
Epoch 5 Batch 11/269 - Train Accuracy: 0.6623, Validation Accuracy: 0.6757, Loss: 0.5281
Epoch 5 Batch 12/269 - Train Accuracy: 0.6734, Validation Accuracy: 0.6810, Loss: 0.5491
Epoch 5 Batch 13/269 - Train Accuracy: 0.6857, Validation Accuracy: 0.6830, Loss: 0.4833
Epoch 5 Batch 14/269 - Train Accuracy: 0.6682, Validation Accuracy: 0.6847, Loss: 0.5223
Epoch 5 Batch 15/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6746, Loss: 0.4967
Epoch 5 Batch 16/269 - Train Accuracy: 0.6639, Validation Accuracy: 0.6692, Loss: 0.5105
Epoch 5 Batch 17/269 - Train Accuracy: 0.6628, Validation Accuracy: 0.6718, Loss: 0.5021
Epoch 5 Batch 18/269 - Train Accuracy: 0.6630, Validation Accuracy: 0.6781, Loss: 0.5186
Epoch 5 Batch 19/269 - Train Accuracy: 0.6908, Validation Accuracy: 0.6847, Loss: 0.4798
Epoch 5 Batch 20/269 - Train Accuracy: 0.6738, Validation Accuracy: 0.6878, Loss: 0.5183
Epoch 5 Batch 21/269 - Train Accuracy: 0.6735, Validation Accuracy: 0.6856, Loss: 0.5401
Epoch 5 Batch 22/269 - Train Accuracy: 0.7050, Validation Accuracy: 0.6833, Loss: 0.4882
Epoch 5 Batch 23/269 - Train Accuracy: 0.6739, Validation Accuracy: 0.6834, Loss: 0.4923
Epoch 5 Batch 24/269 - Train Accuracy: 0.6676, Validation Accuracy: 0.6769, Loss: 0.5198
Epoch 5 Batch 25/269 - Train Accuracy: 0.6608, Validation Accuracy: 0.6784, Loss: 0.5301
Epoch 5 Batch 26/269 - Train Accuracy: 0.6964, Validation Accuracy: 0.6799, Loss: 0.4645
Epoch 5 Batch 27/269 - Train Accuracy: 0.6942, Validation Accuracy: 0.6857, Loss: 0.4961
Epoch 5 Batch 28/269 - Train Accuracy: 0.6421, Validation Accuracy: 0.6878, Loss: 0.5340
Epoch 5 Batch 29/269 - Train Accuracy: 0.7027, Validation Accuracy: 0.6850, Loss: 0.5110
Epoch 5 Batch 30/269 - Train Accuracy: 0.6947, Validation Accuracy: 0.6861, Loss: 0.4820
Epoch 5 Batch 31/269 - Train Accuracy: 0.6866, Validation Accuracy: 0.6813, Loss: 0.4827
Epoch 5 Batch 32/269 - Train Accuracy: 0.6911, Validation Accuracy: 0.6826, Loss: 0.4837
Epoch 5 Batch 33/269 - Train Accuracy: 0.7038, Validation Accuracy: 0.6843, Loss: 0.4774
Epoch 5 Batch 34/269 - Train Accuracy: 0.6834, Validation Accuracy: 0.6830, Loss: 0.4806
Epoch 5 Batch 35/269 - Train Accuracy: 0.6824, Validation Accuracy: 0.6852, Loss: 0.5006
Epoch 5 Batch 36/269 - Train Accuracy: 0.6827, Validation Accuracy: 0.6791, Loss: 0.4853
Epoch 5 Batch 37/269 - Train Accuracy: 0.7068, Validation Accuracy: 0.6803, Loss: 0.4841
Epoch 5 Batch 38/269 - Train Accuracy: 0.6926, Validation Accuracy: 0.6815, Loss: 0.4910
Epoch 5 Batch 39/269 - Train Accuracy: 0.6814, Validation Accuracy: 0.6866, Loss: 0.4792
Epoch 5 Batch 40/269 - Train Accuracy: 0.6785, Validation Accuracy: 0.6824, Loss: 0.5069
Epoch 5 Batch 41/269 - Train Accuracy: 0.6700, Validation Accuracy: 0.6812, Loss: 0.4903
Epoch 5 Batch 42/269 - Train Accuracy: 0.7027, Validation Accuracy: 0.6782, Loss: 0.4654
Epoch 5 Batch 43/269 - Train Accuracy: 0.6764, Validation Accuracy: 0.6851, Loss: 0.4926
Epoch 5 Batch 44/269 - Train Accuracy: 0.6841, Validation Accuracy: 0.6808, Loss: 0.4850
Epoch 5 Batch 45/269 - Train Accuracy: 0.6677, Validation Accuracy: 0.6831, Loss: 0.4977
Epoch 5 Batch 46/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6816, Loss: 0.4991
Epoch 5 Batch 47/269 - Train Accuracy: 0.7022, Validation Accuracy: 0.6831, Loss: 0.4495
Epoch 5 Batch 48/269 - Train Accuracy: 0.6917, Validation Accuracy: 0.6811, Loss: 0.4733
Epoch 5 Batch 49/269 - Train Accuracy: 0.6694, Validation Accuracy: 0.6783, Loss: 0.4892
Epoch 5 Batch 50/269 - Train Accuracy: 0.6699, Validation Accuracy: 0.6802, Loss: 0.4993
Epoch 5 Batch 51/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6852, Loss: 0.4854
Epoch 5 Batch 52/269 - Train Accuracy: 0.6734, Validation Accuracy: 0.6930, Loss: 0.4650
Epoch 5 Batch 53/269 - Train Accuracy: 0.6852, Validation Accuracy: 0.6892, Loss: 0.5062
Epoch 5 Batch 54/269 - Train Accuracy: 0.7001, Validation Accuracy: 0.6887, Loss: 0.4958
Epoch 5 Batch 55/269 - Train Accuracy: 0.7048, Validation Accuracy: 0.6879, Loss: 0.4745
Epoch 5 Batch 56/269 - Train Accuracy: 0.6930, Validation Accuracy: 0.6919, Loss: 0.4776
Epoch 5 Batch 57/269 - Train Accuracy: 0.6835, Validation Accuracy: 0.6892, Loss: 0.4891
Epoch 5 Batch 58/269 - Train Accuracy: 0.7083, Validation Accuracy: 0.6919, Loss: 0.4713
Epoch 5 Batch 59/269 - Train Accuracy: 0.7058, Validation Accuracy: 0.6852, Loss: 0.4542
Epoch 5 Batch 60/269 - Train Accuracy: 0.6987, Validation Accuracy: 0.6923, Loss: 0.4583
Epoch 5 Batch 61/269 - Train Accuracy: 0.7139, Validation Accuracy: 0.6901, Loss: 0.4429
Epoch 5 Batch 62/269 - Train Accuracy: 0.7131, Validation Accuracy: 0.6885, Loss: 0.4562
Epoch 5 Batch 63/269 - Train Accuracy: 0.6750, Validation Accuracy: 0.6905, Loss: 0.4781
Epoch 5 Batch 64/269 - Train Accuracy: 0.6903, Validation Accuracy: 0.6918, Loss: 0.4676
Epoch 5 Batch 65/269 - Train Accuracy: 0.6863, Validation Accuracy: 0.6906, Loss: 0.4757
Epoch 5 Batch 66/269 - Train Accuracy: 0.7031, Validation Accuracy: 0.6875, Loss: 0.4599
Epoch 5 Batch 67/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6986, Loss: 0.4840
Epoch 5 Batch 68/269 - Train Accuracy: 0.6752, Validation Accuracy: 0.6949, Loss: 0.4771
Epoch 5 Batch 69/269 - Train Accuracy: 0.6467, Validation Accuracy: 0.6821, Loss: 0.5238
Epoch 5 Batch 70/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6812, Loss: 0.4805
Epoch 5 Batch 71/269 - Train Accuracy: 0.6683, Validation Accuracy: 0.6894, Loss: 0.5029
Epoch 5 Batch 72/269 - Train Accuracy: 0.6950, Validation Accuracy: 0.6948, Loss: 0.4676
Epoch 5 Batch 73/269 - Train Accuracy: 0.6844, Validation Accuracy: 0.6972, Loss: 0.4894
Epoch 5 Batch 74/269 - Train Accuracy: 0.6971, Validation Accuracy: 0.6904, Loss: 0.4871
Epoch 5 Batch 75/269 - Train Accuracy: 0.6876, Validation Accuracy: 0.6792, Loss: 0.4674
Epoch 5 Batch 76/269 - Train Accuracy: 0.6816, Validation Accuracy: 0.6858, Loss: 0.4839
Epoch 5 Batch 77/269 - Train Accuracy: 0.6949, Validation Accuracy: 0.6957, Loss: 0.4650
Epoch 5 Batch 78/269 - Train Accuracy: 0.7034, Validation Accuracy: 0.6896, Loss: 0.4742
Epoch 5 Batch 79/269 - Train Accuracy: 0.7041, Validation Accuracy: 0.6898, Loss: 0.4717
Epoch 5 Batch 80/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6865, Loss: 0.4630
Epoch 5 Batch 81/269 - Train Accuracy: 0.7055, Validation Accuracy: 0.6885, Loss: 0.4904
Epoch 5 Batch 82/269 - Train Accuracy: 0.7094, Validation Accuracy: 0.6891, Loss: 0.4486
Epoch 5 Batch 83/269 - Train Accuracy: 0.6848, Validation Accuracy: 0.6934, Loss: 0.4735
Epoch 5 Batch 84/269 - Train Accuracy: 0.6890, Validation Accuracy: 0.6900, Loss: 0.4628
Epoch 5 Batch 85/269 - Train Accuracy: 0.6958, Validation Accuracy: 0.6907, Loss: 0.4694
Epoch 5 Batch 86/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6964, Loss: 0.4638
Epoch 5 Batch 87/269 - Train Accuracy: 0.6800, Validation Accuracy: 0.6879, Loss: 0.4981
Epoch 5 Batch 88/269 - Train Accuracy: 0.6839, Validation Accuracy: 0.6857, Loss: 0.4675
Epoch 5 Batch 89/269 - Train Accuracy: 0.6913, Validation Accuracy: 0.6920, Loss: 0.4699
Epoch 5 Batch 90/269 - Train Accuracy: 0.6784, Validation Accuracy: 0.7014, Loss: 0.4947
Epoch 5 Batch 91/269 - Train Accuracy: 0.7124, Validation Accuracy: 0.6996, Loss: 0.4514
Epoch 5 Batch 92/269 - Train Accuracy: 0.6961, Validation Accuracy: 0.6964, Loss: 0.4612
Epoch 5 Batch 93/269 - Train Accuracy: 0.7057, Validation Accuracy: 0.6966, Loss: 0.4471
Epoch 5 Batch 94/269 - Train Accuracy: 0.6862, Validation Accuracy: 0.6984, Loss: 0.4804
Epoch 5 Batch 95/269 - Train Accuracy: 0.6866, Validation Accuracy: 0.6990, Loss: 0.4605
Epoch 5 Batch 96/269 - Train Accuracy: 0.6895, Validation Accuracy: 0.6990, Loss: 0.4676
Epoch 5 Batch 97/269 - Train Accuracy: 0.7086, Validation Accuracy: 0.7006, Loss: 0.4585
Epoch 5 Batch 98/269 - Train Accuracy: 0.7013, Validation Accuracy: 0.6998, Loss: 0.4675
Epoch 5 Batch 99/269 - Train Accuracy: 0.6850, Validation Accuracy: 0.7020, Loss: 0.4773
Epoch 5 Batch 100/269 - Train Accuracy: 0.7121, Validation Accuracy: 0.7010, Loss: 0.4484
Epoch 5 Batch 101/269 - Train Accuracy: 0.6735, Validation Accuracy: 0.7072, Loss: 0.4947
Epoch 5 Batch 102/269 - Train Accuracy: 0.6825, Validation Accuracy: 0.6993, Loss: 0.4597
Epoch 5 Batch 103/269 - Train Accuracy: 0.7145, Validation Accuracy: 0.6956, Loss: 0.4678
Epoch 5 Batch 104/269 - Train Accuracy: 0.6795, Validation Accuracy: 0.7011, Loss: 0.4531
Epoch 5 Batch 105/269 - Train Accuracy: 0.7085, Validation Accuracy: 0.7026, Loss: 0.4606
Epoch 5 Batch 106/269 - Train Accuracy: 0.6972, Validation Accuracy: 0.7052, Loss: 0.4589
Epoch 5 Batch 107/269 - Train Accuracy: 0.6756, Validation Accuracy: 0.7042, Loss: 0.4853
Epoch 5 Batch 108/269 - Train Accuracy: 0.6974, Validation Accuracy: 0.6957, Loss: 0.4588
Epoch 5 Batch 109/269 - Train Accuracy: 0.6875, Validation Accuracy: 0.6978, Loss: 0.4632
Epoch 5 Batch 110/269 - Train Accuracy: 0.7017, Validation Accuracy: 0.6921, Loss: 0.4552
Epoch 5 Batch 111/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6943, Loss: 0.4992
Epoch 5 Batch 112/269 - Train Accuracy: 0.6830, Validation Accuracy: 0.6988, Loss: 0.4598
Epoch 5 Batch 113/269 - Train Accuracy: 0.7006, Validation Accuracy: 0.6916, Loss: 0.4416
Epoch 5 Batch 114/269 - Train Accuracy: 0.7036, Validation Accuracy: 0.6929, Loss: 0.4557
Epoch 5 Batch 115/269 - Train Accuracy: 0.6797, Validation Accuracy: 0.6970, Loss: 0.4770
Epoch 5 Batch 116/269 - Train Accuracy: 0.7124, Validation Accuracy: 0.7048, Loss: 0.4699
Epoch 5 Batch 117/269 - Train Accuracy: 0.7001, Validation Accuracy: 0.6879, Loss: 0.4606
Epoch 5 Batch 118/269 - Train Accuracy: 0.7024, Validation Accuracy: 0.6852, Loss: 0.4455
Epoch 5 Batch 119/269 - Train Accuracy: 0.7028, Validation Accuracy: 0.6963, Loss: 0.4863
Epoch 5 Batch 120/269 - Train Accuracy: 0.6771, Validation Accuracy: 0.6976, Loss: 0.4719
Epoch 5 Batch 121/269 - Train Accuracy: 0.6882, Validation Accuracy: 0.7024, Loss: 0.4468
Epoch 5 Batch 122/269 - Train Accuracy: 0.6944, Validation Accuracy: 0.7029, Loss: 0.4532
Epoch 5 Batch 123/269 - Train Accuracy: 0.6929, Validation Accuracy: 0.6985, Loss: 0.4735
Epoch 5 Batch 124/269 - Train Accuracy: 0.6853, Validation Accuracy: 0.7077, Loss: 0.4491
Epoch 5 Batch 125/269 - Train Accuracy: 0.7086, Validation Accuracy: 0.7102, Loss: 0.4411
Epoch 5 Batch 126/269 - Train Accuracy: 0.7039, Validation Accuracy: 0.7047, Loss: 0.4533
Epoch 5 Batch 127/269 - Train Accuracy: 0.6744, Validation Accuracy: 0.7044, Loss: 0.4709
Epoch 5 Batch 128/269 - Train Accuracy: 0.7065, Validation Accuracy: 0.7035, Loss: 0.4494
Epoch 5 Batch 129/269 - Train Accuracy: 0.7051, Validation Accuracy: 0.7032, Loss: 0.4497
Epoch 5 Batch 130/269 - Train Accuracy: 0.6863, Validation Accuracy: 0.7055, Loss: 0.4787
Epoch 5 Batch 131/269 - Train Accuracy: 0.6852, Validation Accuracy: 0.7046, Loss: 0.4613
Epoch 5 Batch 132/269 - Train Accuracy: 0.6936, Validation Accuracy: 0.7054, Loss: 0.4687
Epoch 5 Batch 133/269 - Train Accuracy: 0.7087, Validation Accuracy: 0.7074, Loss: 0.4349
Epoch 5 Batch 134/269 - Train Accuracy: 0.6734, Validation Accuracy: 0.7072, Loss: 0.4675
Epoch 5 Batch 135/269 - Train Accuracy: 0.6827, Validation Accuracy: 0.7118, Loss: 0.4805
Epoch 5 Batch 136/269 - Train Accuracy: 0.6792, Validation Accuracy: 0.7007, Loss: 0.4791
Epoch 5 Batch 137/269 - Train Accuracy: 0.6998, Validation Accuracy: 0.7090, Loss: 0.4815
Epoch 5 Batch 138/269 - Train Accuracy: 0.7143, Validation Accuracy: 0.7027, Loss: 0.4611
Epoch 5 Batch 139/269 - Train Accuracy: 0.7216, Validation Accuracy: 0.7006, Loss: 0.4382
Epoch 5 Batch 140/269 - Train Accuracy: 0.7098, Validation Accuracy: 0.6999, Loss: 0.4610
Epoch 5 Batch 141/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.7025, Loss: 0.4655
Epoch 5 Batch 142/269 - Train Accuracy: 0.7182, Validation Accuracy: 0.7049, Loss: 0.4456
Epoch 5 Batch 143/269 - Train Accuracy: 0.6892, Validation Accuracy: 0.7098, Loss: 0.4471
Epoch 5 Batch 144/269 - Train Accuracy: 0.7055, Validation Accuracy: 0.7126, Loss: 0.4286
Epoch 5 Batch 145/269 - Train Accuracy: 0.7096, Validation Accuracy: 0.7067, Loss: 0.4460
Epoch 5 Batch 146/269 - Train Accuracy: 0.7075, Validation Accuracy: 0.7045, Loss: 0.4339
Epoch 5 Batch 147/269 - Train Accuracy: 0.7194, Validation Accuracy: 0.7087, Loss: 0.4313
Epoch 5 Batch 148/269 - Train Accuracy: 0.6848, Validation Accuracy: 0.7033, Loss: 0.4543
Epoch 5 Batch 149/269 - Train Accuracy: 0.6890, Validation Accuracy: 0.7023, Loss: 0.4657
Epoch 5 Batch 150/269 - Train Accuracy: 0.7161, Validation Accuracy: 0.6967, Loss: 0.4503
Epoch 5 Batch 151/269 - Train Accuracy: 0.7218, Validation Accuracy: 0.6987, Loss: 0.4314
Epoch 5 Batch 152/269 - Train Accuracy: 0.6952, Validation Accuracy: 0.7066, Loss: 0.4470
Epoch 5 Batch 153/269 - Train Accuracy: 0.7108, Validation Accuracy: 0.7027, Loss: 0.4449
Epoch 5 Batch 154/269 - Train Accuracy: 0.7057, Validation Accuracy: 0.7088, Loss: 0.4532
Epoch 5 Batch 155/269 - Train Accuracy: 0.7178, Validation Accuracy: 0.7069, Loss: 0.4269
Epoch 5 Batch 156/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.7009, Loss: 0.4641
Epoch 5 Batch 157/269 - Train Accuracy: 0.6985, Validation Accuracy: 0.7099, Loss: 0.4369
Epoch 5 Batch 158/269 - Train Accuracy: 0.7001, Validation Accuracy: 0.7115, Loss: 0.4370
Epoch 5 Batch 159/269 - Train Accuracy: 0.6978, Validation Accuracy: 0.7121, Loss: 0.4584
Epoch 5 Batch 160/269 - Train Accuracy: 0.7161, Validation Accuracy: 0.7137, Loss: 0.4488
Epoch 5 Batch 161/269 - Train Accuracy: 0.6868, Validation Accuracy: 0.7037, Loss: 0.4519
Epoch 5 Batch 162/269 - Train Accuracy: 0.7196, Validation Accuracy: 0.7100, Loss: 0.4462
Epoch 5 Batch 163/269 - Train Accuracy: 0.7041, Validation Accuracy: 0.7078, Loss: 0.4572
Epoch 5 Batch 164/269 - Train Accuracy: 0.7061, Validation Accuracy: 0.7051, Loss: 0.4520
Epoch 5 Batch 165/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.7051, Loss: 0.4572
Epoch 5 Batch 166/269 - Train Accuracy: 0.7098, Validation Accuracy: 0.7001, Loss: 0.4284
Epoch 5 Batch 167/269 - Train Accuracy: 0.7003, Validation Accuracy: 0.7008, Loss: 0.4500
Epoch 5 Batch 168/269 - Train Accuracy: 0.7135, Validation Accuracy: 0.7069, Loss: 0.4568
Epoch 5 Batch 169/269 - Train Accuracy: 0.7031, Validation Accuracy: 0.7119, Loss: 0.4490
Epoch 5 Batch 170/269 - Train Accuracy: 0.7120, Validation Accuracy: 0.7138, Loss: 0.4456
Epoch 5 Batch 171/269 - Train Accuracy: 0.7130, Validation Accuracy: 0.7118, Loss: 0.4588
Epoch 5 Batch 172/269 - Train Accuracy: 0.6954, Validation Accuracy: 0.7140, Loss: 0.4494
Epoch 5 Batch 173/269 - Train Accuracy: 0.7255, Validation Accuracy: 0.7193, Loss: 0.4325
Epoch 5 Batch 174/269 - Train Accuracy: 0.7012, Validation Accuracy: 0.7175, Loss: 0.4494
Epoch 5 Batch 175/269 - Train Accuracy: 0.7035, Validation Accuracy: 0.7178, Loss: 0.4524
Epoch 5 Batch 176/269 - Train Accuracy: 0.6951, Validation Accuracy: 0.7142, Loss: 0.4607
Epoch 5 Batch 177/269 - Train Accuracy: 0.7243, Validation Accuracy: 0.7112, Loss: 0.4179
Epoch 5 Batch 178/269 - Train Accuracy: 0.7271, Validation Accuracy: 0.7168, Loss: 0.4524
Epoch 5 Batch 179/269 - Train Accuracy: 0.7107, Validation Accuracy: 0.7186, Loss: 0.4442
Epoch 5 Batch 180/269 - Train Accuracy: 0.7443, Validation Accuracy: 0.7222, Loss: 0.4305
Epoch 5 Batch 181/269 - Train Accuracy: 0.7033, Validation Accuracy: 0.7141, Loss: 0.4419
Epoch 5 Batch 182/269 - Train Accuracy: 0.7320, Validation Accuracy: 0.7151, Loss: 0.4383
Epoch 5 Batch 183/269 - Train Accuracy: 0.7700, Validation Accuracy: 0.7236, Loss: 0.3801
Epoch 5 Batch 184/269 - Train Accuracy: 0.6950, Validation Accuracy: 0.7206, Loss: 0.4552
Epoch 5 Batch 185/269 - Train Accuracy: 0.7294, Validation Accuracy: 0.7134, Loss: 0.4315
Epoch 5 Batch 186/269 - Train Accuracy: 0.6994, Validation Accuracy: 0.7162, Loss: 0.4400
Epoch 5 Batch 187/269 - Train Accuracy: 0.7189, Validation Accuracy: 0.7198, Loss: 0.4263
Epoch 5 Batch 188/269 - Train Accuracy: 0.7175, Validation Accuracy: 0.7235, Loss: 0.4191
Epoch 5 Batch 189/269 - Train Accuracy: 0.7278, Validation Accuracy: 0.7156, Loss: 0.4225
Epoch 5 Batch 190/269 - Train Accuracy: 0.7207, Validation Accuracy: 0.7268, Loss: 0.4203
Epoch 5 Batch 191/269 - Train Accuracy: 0.7183, Validation Accuracy: 0.7208, Loss: 0.4232
Epoch 5 Batch 192/269 - Train Accuracy: 0.7153, Validation Accuracy: 0.7065, Loss: 0.4391
Epoch 5 Batch 193/269 - Train Accuracy: 0.7286, Validation Accuracy: 0.7263, Loss: 0.4263
Epoch 5 Batch 194/269 - Train Accuracy: 0.7088, Validation Accuracy: 0.7245, Loss: 0.4428
Epoch 5 Batch 195/269 - Train Accuracy: 0.7259, Validation Accuracy: 0.7270, Loss: 0.4393
Epoch 5 Batch 196/269 - Train Accuracy: 0.6970, Validation Accuracy: 0.7037, Loss: 0.4206
Epoch 5 Batch 197/269 - Train Accuracy: 0.7110, Validation Accuracy: 0.7245, Loss: 0.4503
Epoch 5 Batch 198/269 - Train Accuracy: 0.6869, Validation Accuracy: 0.7180, Loss: 0.4601
Epoch 5 Batch 199/269 - Train Accuracy: 0.7136, Validation Accuracy: 0.7241, Loss: 0.4507
Epoch 5 Batch 200/269 - Train Accuracy: 0.7047, Validation Accuracy: 0.7115, Loss: 0.4479
Epoch 5 Batch 201/269 - Train Accuracy: 0.7195, Validation Accuracy: 0.7136, Loss: 0.4361
Epoch 5 Batch 202/269 - Train Accuracy: 0.7147, Validation Accuracy: 0.7240, Loss: 0.4342
Epoch 5 Batch 203/269 - Train Accuracy: 0.6893, Validation Accuracy: 0.7148, Loss: 0.4595
Epoch 5 Batch 204/269 - Train Accuracy: 0.7046, Validation Accuracy: 0.7251, Loss: 0.4580
Epoch 5 Batch 205/269 - Train Accuracy: 0.7230, Validation Accuracy: 0.7146, Loss: 0.4234
Epoch 5 Batch 206/269 - Train Accuracy: 0.7081, Validation Accuracy: 0.7166, Loss: 0.4553
Epoch 5 Batch 207/269 - Train Accuracy: 0.7236, Validation Accuracy: 0.7271, Loss: 0.4148
Epoch 5 Batch 208/269 - Train Accuracy: 0.7157, Validation Accuracy: 0.7240, Loss: 0.4450
Epoch 5 Batch 209/269 - Train Accuracy: 0.7360, Validation Accuracy: 0.7251, Loss: 0.4310
Epoch 5 Batch 210/269 - Train Accuracy: 0.7210, Validation Accuracy: 0.7226, Loss: 0.4203
Epoch 5 Batch 211/269 - Train Accuracy: 0.7082, Validation Accuracy: 0.7234, Loss: 0.4346
Epoch 5 Batch 212/269 - Train Accuracy: 0.7125, Validation Accuracy: 0.7257, Loss: 0.4280
Epoch 5 Batch 213/269 - Train Accuracy: 0.7188, Validation Accuracy: 0.7301, Loss: 0.4271
Epoch 5 Batch 214/269 - Train Accuracy: 0.7098, Validation Accuracy: 0.7263, Loss: 0.4320
Epoch 5 Batch 215/269 - Train Accuracy: 0.7460, Validation Accuracy: 0.7258, Loss: 0.3977
Epoch 5 Batch 216/269 - Train Accuracy: 0.6834, Validation Accuracy: 0.7294, Loss: 0.4629
Epoch 5 Batch 217/269 - Train Accuracy: 0.7089, Validation Accuracy: 0.7329, Loss: 0.4451
Epoch 5 Batch 218/269 - Train Accuracy: 0.7258, Validation Accuracy: 0.7239, Loss: 0.4434
Epoch 5 Batch 219/269 - Train Accuracy: 0.7118, Validation Accuracy: 0.7154, Loss: 0.4553
Epoch 5 Batch 220/269 - Train Accuracy: 0.7425, Validation Accuracy: 0.7232, Loss: 0.4083
Epoch 5 Batch 221/269 - Train Accuracy: 0.7466, Validation Accuracy: 0.7259, Loss: 0.4292
Epoch 5 Batch 222/269 - Train Accuracy: 0.7518, Validation Accuracy: 0.7321, Loss: 0.4069
Epoch 5 Batch 223/269 - Train Accuracy: 0.7348, Validation Accuracy: 0.7275, Loss: 0.4145
Epoch 5 Batch 224/269 - Train Accuracy: 0.7320, Validation Accuracy: 0.7344, Loss: 0.4383
Epoch 5 Batch 225/269 - Train Accuracy: 0.7293, Validation Accuracy: 0.7262, Loss: 0.4216
Epoch 5 Batch 226/269 - Train Accuracy: 0.7322, Validation Accuracy: 0.7206, Loss: 0.4139
Epoch 5 Batch 227/269 - Train Accuracy: 0.7579, Validation Accuracy: 0.7331, Loss: 0.3892
Epoch 5 Batch 228/269 - Train Accuracy: 0.7257, Validation Accuracy: 0.7294, Loss: 0.4218
Epoch 5 Batch 229/269 - Train Accuracy: 0.7344, Validation Accuracy: 0.7295, Loss: 0.4171
Epoch 5 Batch 230/269 - Train Accuracy: 0.7180, Validation Accuracy: 0.7231, Loss: 0.4194
Epoch 5 Batch 231/269 - Train Accuracy: 0.7185, Validation Accuracy: 0.7251, Loss: 0.4463
Epoch 5 Batch 232/269 - Train Accuracy: 0.7120, Validation Accuracy: 0.7339, Loss: 0.4363
Epoch 5 Batch 233/269 - Train Accuracy: 0.7393, Validation Accuracy: 0.7300, Loss: 0.4292
Epoch 5 Batch 234/269 - Train Accuracy: 0.7187, Validation Accuracy: 0.7175, Loss: 0.4239
Epoch 5 Batch 235/269 - Train Accuracy: 0.7344, Validation Accuracy: 0.7304, Loss: 0.4092
Epoch 5 Batch 236/269 - Train Accuracy: 0.7188, Validation Accuracy: 0.7267, Loss: 0.4153
Epoch 5 Batch 237/269 - Train Accuracy: 0.7299, Validation Accuracy: 0.7259, Loss: 0.4212
Epoch 5 Batch 238/269 - Train Accuracy: 0.7329, Validation Accuracy: 0.7329, Loss: 0.4180
Epoch 5 Batch 239/269 - Train Accuracy: 0.7255, Validation Accuracy: 0.7298, Loss: 0.4189
Epoch 5 Batch 240/269 - Train Accuracy: 0.7505, Validation Accuracy: 0.7251, Loss: 0.3827
Epoch 5 Batch 241/269 - Train Accuracy: 0.7324, Validation Accuracy: 0.7178, Loss: 0.4333
Epoch 5 Batch 242/269 - Train Accuracy: 0.7286, Validation Accuracy: 0.7280, Loss: 0.4203
Epoch 5 Batch 243/269 - Train Accuracy: 0.7282, Validation Accuracy: 0.7237, Loss: 0.4043
Epoch 5 Batch 244/269 - Train Accuracy: 0.7120, Validation Accuracy: 0.7262, Loss: 0.4156
Epoch 5 Batch 245/269 - Train Accuracy: 0.6998, Validation Accuracy: 0.7293, Loss: 0.4653
Epoch 5 Batch 246/269 - Train Accuracy: 0.7158, Validation Accuracy: 0.7249, Loss: 0.4272
Epoch 5 Batch 247/269 - Train Accuracy: 0.7202, Validation Accuracy: 0.7283, Loss: 0.4353
Epoch 5 Batch 248/269 - Train Accuracy: 0.7118, Validation Accuracy: 0.7237, Loss: 0.4091
Epoch 5 Batch 249/269 - Train Accuracy: 0.7551, Validation Accuracy: 0.7355, Loss: 0.3943
Epoch 5 Batch 250/269 - Train Accuracy: 0.7124, Validation Accuracy: 0.7201, Loss: 0.4191
Epoch 5 Batch 251/269 - Train Accuracy: 0.7487, Validation Accuracy: 0.7346, Loss: 0.4065
Epoch 5 Batch 252/269 - Train Accuracy: 0.7121, Validation Accuracy: 0.7184, Loss: 0.4191
Epoch 5 Batch 253/269 - Train Accuracy: 0.7126, Validation Accuracy: 0.7275, Loss: 0.4248
Epoch 5 Batch 254/269 - Train Accuracy: 0.7347, Validation Accuracy: 0.7379, Loss: 0.4171
Epoch 5 Batch 255/269 - Train Accuracy: 0.7348, Validation Accuracy: 0.7341, Loss: 0.4129
Epoch 5 Batch 256/269 - Train Accuracy: 0.7070, Validation Accuracy: 0.7303, Loss: 0.4229
Epoch 5 Batch 257/269 - Train Accuracy: 0.7144, Validation Accuracy: 0.7322, Loss: 0.4234
Epoch 5 Batch 258/269 - Train Accuracy: 0.7429, Validation Accuracy: 0.7460, Loss: 0.4210
Epoch 5 Batch 259/269 - Train Accuracy: 0.7305, Validation Accuracy: 0.7432, Loss: 0.4129
Epoch 5 Batch 260/269 - Train Accuracy: 0.7154, Validation Accuracy: 0.7425, Loss: 0.4335
Epoch 5 Batch 261/269 - Train Accuracy: 0.7219, Validation Accuracy: 0.7325, Loss: 0.4417
Epoch 5 Batch 262/269 - Train Accuracy: 0.7244, Validation Accuracy: 0.7429, Loss: 0.4206
Epoch 5 Batch 263/269 - Train Accuracy: 0.7262, Validation Accuracy: 0.7440, Loss: 0.4251
Epoch 5 Batch 264/269 - Train Accuracy: 0.7215, Validation Accuracy: 0.7377, Loss: 0.4265
Epoch 5 Batch 265/269 - Train Accuracy: 0.7213, Validation Accuracy: 0.7387, Loss: 0.4137
Epoch 5 Batch 266/269 - Train Accuracy: 0.7451, Validation Accuracy: 0.7409, Loss: 0.4080
Epoch 5 Batch 267/269 - Train Accuracy: 0.7302, Validation Accuracy: 0.7415, Loss: 0.4233
Epoch 6 Batch 1/269 - Train Accuracy: 0.7192, Validation Accuracy: 0.7435, Loss: 0.4269
Epoch 6 Batch 2/269 - Train Accuracy: 0.7308, Validation Accuracy: 0.7380, Loss: 0.4206
Epoch 6 Batch 3/269 - Train Accuracy: 0.7356, Validation Accuracy: 0.7269, Loss: 0.4150
Epoch 6 Batch 4/269 - Train Accuracy: 0.7120, Validation Accuracy: 0.7450, Loss: 0.4344
Epoch 6 Batch 5/269 - Train Accuracy: 0.6963, Validation Accuracy: 0.7403, Loss: 0.4273
Epoch 6 Batch 6/269 - Train Accuracy: 0.7460, Validation Accuracy: 0.7480, Loss: 0.3991
Epoch 6 Batch 7/269 - Train Accuracy: 0.7241, Validation Accuracy: 0.7231, Loss: 0.3954
Epoch 6 Batch 8/269 - Train Accuracy: 0.7204, Validation Accuracy: 0.7367, Loss: 0.4329
Epoch 6 Batch 9/269 - Train Accuracy: 0.7201, Validation Accuracy: 0.7423, Loss: 0.4245
Epoch 6 Batch 10/269 - Train Accuracy: 0.7350, Validation Accuracy: 0.7383, Loss: 0.4227
Epoch 6 Batch 11/269 - Train Accuracy: 0.7305, Validation Accuracy: 0.7375, Loss: 0.4111
Epoch 6 Batch 12/269 - Train Accuracy: 0.7174, Validation Accuracy: 0.7430, Loss: 0.4375
Epoch 6 Batch 13/269 - Train Accuracy: 0.7502, Validation Accuracy: 0.7441, Loss: 0.3835
Epoch 6 Batch 14/269 - Train Accuracy: 0.7197, Validation Accuracy: 0.7411, Loss: 0.4167
Epoch 6 Batch 15/269 - Train Accuracy: 0.7311, Validation Accuracy: 0.7448, Loss: 0.3970
Epoch 6 Batch 16/269 - Train Accuracy: 0.7231, Validation Accuracy: 0.7203, Loss: 0.4116
Epoch 6 Batch 17/269 - Train Accuracy: 0.7331, Validation Accuracy: 0.7384, Loss: 0.3983
Epoch 6 Batch 18/269 - Train Accuracy: 0.7250, Validation Accuracy: 0.7421, Loss: 0.4134
Epoch 6 Batch 19/269 - Train Accuracy: 0.7520, Validation Accuracy: 0.7426, Loss: 0.3849
Epoch 6 Batch 20/269 - Train Accuracy: 0.7312, Validation Accuracy: 0.7427, Loss: 0.4145
Epoch 6 Batch 21/269 - Train Accuracy: 0.7218, Validation Accuracy: 0.7362, Loss: 0.4399
Epoch 6 Batch 22/269 - Train Accuracy: 0.7611, Validation Accuracy: 0.7356, Loss: 0.3969
Epoch 6 Batch 23/269 - Train Accuracy: 0.7252, Validation Accuracy: 0.7326, Loss: 0.4007
Epoch 6 Batch 24/269 - Train Accuracy: 0.7100, Validation Accuracy: 0.7312, Loss: 0.4224
Epoch 6 Batch 25/269 - Train Accuracy: 0.7210, Validation Accuracy: 0.7361, Loss: 0.4423
Epoch 6 Batch 26/269 - Train Accuracy: 0.7463, Validation Accuracy: 0.7388, Loss: 0.3828
Epoch 6 Batch 27/269 - Train Accuracy: 0.7374, Validation Accuracy: 0.7417, Loss: 0.4030
Epoch 6 Batch 28/269 - Train Accuracy: 0.6948, Validation Accuracy: 0.7351, Loss: 0.4412
Epoch 6 Batch 29/269 - Train Accuracy: 0.7466, Validation Accuracy: 0.7443, Loss: 0.4270
Epoch 6 Batch 30/269 - Train Accuracy: 0.7297, Validation Accuracy: 0.7414, Loss: 0.3997
Epoch 6 Batch 31/269 - Train Accuracy: 0.7418, Validation Accuracy: 0.7421, Loss: 0.3987
Epoch 6 Batch 32/269 - Train Accuracy: 0.7413, Validation Accuracy: 0.7400, Loss: 0.4033
Epoch 6 Batch 33/269 - Train Accuracy: 0.7634, Validation Accuracy: 0.7358, Loss: 0.3810
Epoch 6 Batch 34/269 - Train Accuracy: 0.7347, Validation Accuracy: 0.7440, Loss: 0.3966
Epoch 6 Batch 35/269 - Train Accuracy: 0.7394, Validation Accuracy: 0.7446, Loss: 0.4139
Epoch 6 Batch 36/269 - Train Accuracy: 0.7338, Validation Accuracy: 0.7447, Loss: 0.4023
Epoch 6 Batch 37/269 - Train Accuracy: 0.7473, Validation Accuracy: 0.7573, Loss: 0.4019
Epoch 6 Batch 38/269 - Train Accuracy: 0.7436, Validation Accuracy: 0.7534, Loss: 0.4020
Epoch 6 Batch 39/269 - Train Accuracy: 0.7312, Validation Accuracy: 0.7474, Loss: 0.4021
Epoch 6 Batch 40/269 - Train Accuracy: 0.7162, Validation Accuracy: 0.7506, Loss: 0.4160
Epoch 6 Batch 41/269 - Train Accuracy: 0.7459, Validation Accuracy: 0.7486, Loss: 0.4137
Epoch 6 Batch 42/269 - Train Accuracy: 0.7554, Validation Accuracy: 0.7537, Loss: 0.3777
Epoch 6 Batch 43/269 - Train Accuracy: 0.7258, Validation Accuracy: 0.7401, Loss: 0.4115
Epoch 6 Batch 44/269 - Train Accuracy: 0.7345, Validation Accuracy: 0.7445, Loss: 0.4004
Epoch 6 Batch 45/269 - Train Accuracy: 0.7345, Validation Accuracy: 0.7321, Loss: 0.4137
Epoch 6 Batch 46/269 - Train Accuracy: 0.7271, Validation Accuracy: 0.7456, Loss: 0.4087
Epoch 6 Batch 47/269 - Train Accuracy: 0.7567, Validation Accuracy: 0.7462, Loss: 0.3754
Epoch 6 Batch 48/269 - Train Accuracy: 0.7459, Validation Accuracy: 0.7367, Loss: 0.3868
Epoch 6 Batch 49/269 - Train Accuracy: 0.7226, Validation Accuracy: 0.7415, Loss: 0.4033
Epoch 6 Batch 50/269 - Train Accuracy: 0.7333, Validation Accuracy: 0.7546, Loss: 0.4224
Epoch 6 Batch 51/269 - Train Accuracy: 0.7496, Validation Accuracy: 0.7572, Loss: 0.4003
Epoch 6 Batch 52/269 - Train Accuracy: 0.7309, Validation Accuracy: 0.7518, Loss: 0.3824
Epoch 6 Batch 53/269 - Train Accuracy: 0.7384, Validation Accuracy: 0.7390, Loss: 0.4196
Epoch 6 Batch 54/269 - Train Accuracy: 0.7491, Validation Accuracy: 0.7449, Loss: 0.4038
Epoch 6 Batch 55/269 - Train Accuracy: 0.7415, Validation Accuracy: 0.7469, Loss: 0.3884
Epoch 6 Batch 56/269 - Train Accuracy: 0.7396, Validation Accuracy: 0.7500, Loss: 0.4051
Epoch 6 Batch 57/269 - Train Accuracy: 0.7536, Validation Accuracy: 0.7497, Loss: 0.4125
Epoch 6 Batch 58/269 - Train Accuracy: 0.7414, Validation Accuracy: 0.7427, Loss: 0.3827
Epoch 6 Batch 59/269 - Train Accuracy: 0.7653, Validation Accuracy: 0.7546, Loss: 0.3782
Epoch 6 Batch 60/269 - Train Accuracy: 0.7445, Validation Accuracy: 0.7567, Loss: 0.3747
Epoch 6 Batch 61/269 - Train Accuracy: 0.7629, Validation Accuracy: 0.7656, Loss: 0.3693
Epoch 6 Batch 62/269 - Train Accuracy: 0.7625, Validation Accuracy: 0.7547, Loss: 0.3769
Epoch 6 Batch 63/269 - Train Accuracy: 0.7426, Validation Accuracy: 0.7363, Loss: 0.3954
Epoch 6 Batch 64/269 - Train Accuracy: 0.7431, Validation Accuracy: 0.7578, Loss: 0.3876
Epoch 6 Batch 65/269 - Train Accuracy: 0.7353, Validation Accuracy: 0.7603, Loss: 0.3915
Epoch 6 Batch 66/269 - Train Accuracy: 0.7415, Validation Accuracy: 0.7461, Loss: 0.3876
Epoch 6 Batch 67/269 - Train Accuracy: 0.7371, Validation Accuracy: 0.7536, Loss: 0.3997
Epoch 6 Batch 68/269 - Train Accuracy: 0.7420, Validation Accuracy: 0.7572, Loss: 0.4056
Epoch 6 Batch 69/269 - Train Accuracy: 0.7154, Validation Accuracy: 0.7479, Loss: 0.4348
Epoch 6 Batch 70/269 - Train Accuracy: 0.7538, Validation Accuracy: 0.7418, Loss: 0.4010
Epoch 6 Batch 71/269 - Train Accuracy: 0.7353, Validation Accuracy: 0.7433, Loss: 0.4134
Epoch 6 Batch 72/269 - Train Accuracy: 0.7514, Validation Accuracy: 0.7456, Loss: 0.3968
Epoch 6 Batch 73/269 - Train Accuracy: 0.7457, Validation Accuracy: 0.7503, Loss: 0.4097
Epoch 6 Batch 74/269 - Train Accuracy: 0.7452, Validation Accuracy: 0.7504, Loss: 0.3902
Epoch 6 Batch 75/269 - Train Accuracy: 0.7475, Validation Accuracy: 0.7475, Loss: 0.3900
Epoch 6 Batch 76/269 - Train Accuracy: 0.7417, Validation Accuracy: 0.7549, Loss: 0.3996
Epoch 6 Batch 77/269 - Train Accuracy: 0.7515, Validation Accuracy: 0.7568, Loss: 0.3898
Epoch 6 Batch 78/269 - Train Accuracy: 0.7606, Validation Accuracy: 0.7483, Loss: 0.3870
Epoch 6 Batch 79/269 - Train Accuracy: 0.7456, Validation Accuracy: 0.7567, Loss: 0.3879
Epoch 6 Batch 80/269 - Train Accuracy: 0.7612, Validation Accuracy: 0.7526, Loss: 0.3876
Epoch 6 Batch 81/269 - Train Accuracy: 0.7440, Validation Accuracy: 0.7539, Loss: 0.4052
Epoch 6 Batch 82/269 - Train Accuracy: 0.7689, Validation Accuracy: 0.7575, Loss: 0.3724
Epoch 6 Batch 83/269 - Train Accuracy: 0.7434, Validation Accuracy: 0.7486, Loss: 0.4035
Epoch 6 Batch 84/269 - Train Accuracy: 0.7547, Validation Accuracy: 0.7441, Loss: 0.3853
Epoch 6 Batch 85/269 - Train Accuracy: 0.7538, Validation Accuracy: 0.7576, Loss: 0.3879
Epoch 6 Batch 86/269 - Train Accuracy: 0.7542, Validation Accuracy: 0.7530, Loss: 0.3847
Epoch 6 Batch 87/269 - Train Accuracy: 0.7291, Validation Accuracy: 0.7484, Loss: 0.4215
Epoch 6 Batch 88/269 - Train Accuracy: 0.7370, Validation Accuracy: 0.7469, Loss: 0.3947
Epoch 6 Batch 89/269 - Train Accuracy: 0.7510, Validation Accuracy: 0.7387, Loss: 0.3962
Epoch 6 Batch 90/269 - Train Accuracy: 0.7350, Validation Accuracy: 0.7520, Loss: 0.4122
Epoch 6 Batch 91/269 - Train Accuracy: 0.7505, Validation Accuracy: 0.7520, Loss: 0.3794
Epoch 6 Batch 92/269 - Train Accuracy: 0.7613, Validation Accuracy: 0.7504, Loss: 0.3812
Epoch 6 Batch 93/269 - Train Accuracy: 0.7316, Validation Accuracy: 0.7482, Loss: 0.3761
Epoch 6 Batch 94/269 - Train Accuracy: 0.7331, Validation Accuracy: 0.7593, Loss: 0.4052
Epoch 6 Batch 95/269 - Train Accuracy: 0.7406, Validation Accuracy: 0.7567, Loss: 0.3876
Epoch 6 Batch 96/269 - Train Accuracy: 0.7501, Validation Accuracy: 0.7631, Loss: 0.3812
Epoch 6 Batch 97/269 - Train Accuracy: 0.7636, Validation Accuracy: 0.7588, Loss: 0.3781
Epoch 6 Batch 98/269 - Train Accuracy: 0.7456, Validation Accuracy: 0.7533, Loss: 0.3843
Epoch 6 Batch 99/269 - Train Accuracy: 0.7280, Validation Accuracy: 0.7594, Loss: 0.3995
Epoch 6 Batch 100/269 - Train Accuracy: 0.7639, Validation Accuracy: 0.7546, Loss: 0.3829
Epoch 6 Batch 101/269 - Train Accuracy: 0.7272, Validation Accuracy: 0.7525, Loss: 0.4088
Epoch 6 Batch 102/269 - Train Accuracy: 0.7310, Validation Accuracy: 0.7546, Loss: 0.3864
Epoch 6 Batch 103/269 - Train Accuracy: 0.7476, Validation Accuracy: 0.7514, Loss: 0.3910
Epoch 6 Batch 104/269 - Train Accuracy: 0.7460, Validation Accuracy: 0.7567, Loss: 0.3816
Epoch 6 Batch 105/269 - Train Accuracy: 0.7341, Validation Accuracy: 0.7460, Loss: 0.3921
Epoch 6 Batch 106/269 - Train Accuracy: 0.7487, Validation Accuracy: 0.7540, Loss: 0.3823
Epoch 6 Batch 107/269 - Train Accuracy: 0.7273, Validation Accuracy: 0.7413, Loss: 0.4018
Epoch 6 Batch 108/269 - Train Accuracy: 0.7403, Validation Accuracy: 0.7616, Loss: 0.3915
Epoch 6 Batch 109/269 - Train Accuracy: 0.7324, Validation Accuracy: 0.7579, Loss: 0.4038
Epoch 6 Batch 110/269 - Train Accuracy: 0.7623, Validation Accuracy: 0.7637, Loss: 0.3858
Epoch 6 Batch 111/269 - Train Accuracy: 0.7433, Validation Accuracy: 0.7575, Loss: 0.4126
Epoch 6 Batch 112/269 - Train Accuracy: 0.7335, Validation Accuracy: 0.7596, Loss: 0.3901
Epoch 6 Batch 113/269 - Train Accuracy: 0.7479, Validation Accuracy: 0.7625, Loss: 0.3688
Epoch 6 Batch 114/269 - Train Accuracy: 0.7546, Validation Accuracy: 0.7568, Loss: 0.3811
Epoch 6 Batch 115/269 - Train Accuracy: 0.7294, Validation Accuracy: 0.7622, Loss: 0.4077
Epoch 6 Batch 116/269 - Train Accuracy: 0.7631, Validation Accuracy: 0.7527, Loss: 0.3861
Epoch 6 Batch 117/269 - Train Accuracy: 0.7467, Validation Accuracy: 0.7520, Loss: 0.3813
Epoch 6 Batch 118/269 - Train Accuracy: 0.7626, Validation Accuracy: 0.7617, Loss: 0.3692
Epoch 6 Batch 119/269 - Train Accuracy: 0.7499, Validation Accuracy: 0.7650, Loss: 0.3991
Epoch 6 Batch 120/269 - Train Accuracy: 0.7462, Validation Accuracy: 0.7694, Loss: 0.3943
Epoch 6 Batch 121/269 - Train Accuracy: 0.7440, Validation Accuracy: 0.7590, Loss: 0.3656
Epoch 6 Batch 122/269 - Train Accuracy: 0.7468, Validation Accuracy: 0.7527, Loss: 0.3760
Epoch 6 Batch 123/269 - Train Accuracy: 0.7500, Validation Accuracy: 0.7654, Loss: 0.3957
Epoch 6 Batch 124/269 - Train Accuracy: 0.7414, Validation Accuracy: 0.7615, Loss: 0.3713
Epoch 6 Batch 125/269 - Train Accuracy: 0.7693, Validation Accuracy: 0.7516, Loss: 0.3679
Epoch 6 Batch 126/269 - Train Accuracy: 0.7547, Validation Accuracy: 0.7394, Loss: 0.3799
Epoch 6 Batch 127/269 - Train Accuracy: 0.7460, Validation Accuracy: 0.7615, Loss: 0.3982
Epoch 6 Batch 128/269 - Train Accuracy: 0.7567, Validation Accuracy: 0.7592, Loss: 0.3750
Epoch 6 Batch 129/269 - Train Accuracy: 0.7521, Validation Accuracy: 0.7620, Loss: 0.3706
Epoch 6 Batch 130/269 - Train Accuracy: 0.7186, Validation Accuracy: 0.7467, Loss: 0.3999
Epoch 6 Batch 131/269 - Train Accuracy: 0.7366, Validation Accuracy: 0.7476, Loss: 0.3898
Epoch 6 Batch 132/269 - Train Accuracy: 0.7283, Validation Accuracy: 0.7567, Loss: 0.3920
Epoch 6 Batch 133/269 - Train Accuracy: 0.7698, Validation Accuracy: 0.7662, Loss: 0.3711
Epoch 6 Batch 134/269 - Train Accuracy: 0.7340, Validation Accuracy: 0.7591, Loss: 0.3878
Epoch 6 Batch 135/269 - Train Accuracy: 0.7265, Validation Accuracy: 0.7609, Loss: 0.4098
Epoch 6 Batch 136/269 - Train Accuracy: 0.7446, Validation Accuracy: 0.7678, Loss: 0.4086
Epoch 6 Batch 137/269 - Train Accuracy: 0.7511, Validation Accuracy: 0.7688, Loss: 0.3993
Epoch 6 Batch 138/269 - Train Accuracy: 0.7602, Validation Accuracy: 0.7648, Loss: 0.3838
Epoch 6 Batch 139/269 - Train Accuracy: 0.7583, Validation Accuracy: 0.7676, Loss: 0.3622
Epoch 6 Batch 140/269 - Train Accuracy: 0.7641, Validation Accuracy: 0.7540, Loss: 0.3914
Epoch 6 Batch 141/269 - Train Accuracy: 0.7655, Validation Accuracy: 0.7635, Loss: 0.3852
Epoch 6 Batch 142/269 - Train Accuracy: 0.7687, Validation Accuracy: 0.7596, Loss: 0.3663
Epoch 6 Batch 143/269 - Train Accuracy: 0.7568, Validation Accuracy: 0.7670, Loss: 0.3761
Epoch 6 Batch 144/269 - Train Accuracy: 0.7631, Validation Accuracy: 0.7610, Loss: 0.3640
Epoch 6 Batch 145/269 - Train Accuracy: 0.7582, Validation Accuracy: 0.7598, Loss: 0.3635
Epoch 6 Batch 146/269 - Train Accuracy: 0.7617, Validation Accuracy: 0.7639, Loss: 0.3701
Epoch 6 Batch 147/269 - Train Accuracy: 0.7760, Validation Accuracy: 0.7625, Loss: 0.3618
Epoch 6 Batch 148/269 - Train Accuracy: 0.7548, Validation Accuracy: 0.7690, Loss: 0.3797
Epoch 6 Batch 149/269 - Train Accuracy: 0.7400, Validation Accuracy: 0.7732, Loss: 0.3850
Epoch 6 Batch 150/269 - Train Accuracy: 0.7666, Validation Accuracy: 0.7652, Loss: 0.3763
Epoch 6 Batch 151/269 - Train Accuracy: 0.7693, Validation Accuracy: 0.7662, Loss: 0.3621
Epoch 6 Batch 152/269 - Train Accuracy: 0.7483, Validation Accuracy: 0.7685, Loss: 0.3713
Epoch 6 Batch 153/269 - Train Accuracy: 0.7628, Validation Accuracy: 0.7685, Loss: 0.3602
Epoch 6 Batch 154/269 - Train Accuracy: 0.7622, Validation Accuracy: 0.7678, Loss: 0.3815
Epoch 6 Batch 155/269 - Train Accuracy: 0.7743, Validation Accuracy: 0.7590, Loss: 0.3492
Epoch 6 Batch 156/269 - Train Accuracy: 0.7417, Validation Accuracy: 0.7617, Loss: 0.3855
Epoch 6 Batch 157/269 - Train Accuracy: 0.7518, Validation Accuracy: 0.7669, Loss: 0.3638
Epoch 6 Batch 158/269 - Train Accuracy: 0.7511, Validation Accuracy: 0.7630, Loss: 0.3742
Epoch 6 Batch 159/269 - Train Accuracy: 0.7458, Validation Accuracy: 0.7643, Loss: 0.3770
Epoch 6 Batch 160/269 - Train Accuracy: 0.7653, Validation Accuracy: 0.7664, Loss: 0.3673
Epoch 6 Batch 161/269 - Train Accuracy: 0.7564, Validation Accuracy: 0.7696, Loss: 0.3753
Epoch 6 Batch 162/269 - Train Accuracy: 0.7680, Validation Accuracy: 0.7636, Loss: 0.3667
Epoch 6 Batch 163/269 - Train Accuracy: 0.7575, Validation Accuracy: 0.7623, Loss: 0.3771
Epoch 6 Batch 164/269 - Train Accuracy: 0.7729, Validation Accuracy: 0.7719, Loss: 0.3709
Epoch 6 Batch 165/269 - Train Accuracy: 0.7653, Validation Accuracy: 0.7740, Loss: 0.3744
Epoch 6 Batch 166/269 - Train Accuracy: 0.7617, Validation Accuracy: 0.7655, Loss: 0.3478
Epoch 6 Batch 167/269 - Train Accuracy: 0.7546, Validation Accuracy: 0.7677, Loss: 0.3762
Epoch 6 Batch 168/269 - Train Accuracy: 0.7480, Validation Accuracy: 0.7704, Loss: 0.3834
Epoch 6 Batch 169/269 - Train Accuracy: 0.7476, Validation Accuracy: 0.7636, Loss: 0.3728
Epoch 6 Batch 170/269 - Train Accuracy: 0.7495, Validation Accuracy: 0.7632, Loss: 0.3707
Epoch 6 Batch 171/269 - Train Accuracy: 0.7752, Validation Accuracy: 0.7668, Loss: 0.3856
Epoch 6 Batch 172/269 - Train Accuracy: 0.7586, Validation Accuracy: 0.7638, Loss: 0.3763
Epoch 6 Batch 173/269 - Train Accuracy: 0.7653, Validation Accuracy: 0.7685, Loss: 0.3634
Epoch 6 Batch 174/269 - Train Accuracy: 0.7553, Validation Accuracy: 0.7662, Loss: 0.3736
Epoch 6 Batch 175/269 - Train Accuracy: 0.7525, Validation Accuracy: 0.7723, Loss: 0.3887
Epoch 6 Batch 176/269 - Train Accuracy: 0.7635, Validation Accuracy: 0.7701, Loss: 0.3821
Epoch 6 Batch 177/269 - Train Accuracy: 0.7752, Validation Accuracy: 0.7746, Loss: 0.3523
Epoch 6 Batch 178/269 - Train Accuracy: 0.7588, Validation Accuracy: 0.7622, Loss: 0.3716
Epoch 6 Batch 179/269 - Train Accuracy: 0.7532, Validation Accuracy: 0.7599, Loss: 0.3655
Epoch 6 Batch 180/269 - Train Accuracy: 0.7646, Validation Accuracy: 0.7685, Loss: 0.3622
Epoch 6 Batch 181/269 - Train Accuracy: 0.7404, Validation Accuracy: 0.7770, Loss: 0.3750
Epoch 6 Batch 182/269 - Train Accuracy: 0.7767, Validation Accuracy: 0.7722, Loss: 0.3666
Epoch 6 Batch 183/269 - Train Accuracy: 0.8135, Validation Accuracy: 0.7718, Loss: 0.3168
Epoch 6 Batch 184/269 - Train Accuracy: 0.7513, Validation Accuracy: 0.7706, Loss: 0.3719
Epoch 6 Batch 185/269 - Train Accuracy: 0.7762, Validation Accuracy: 0.7757, Loss: 0.3651
Epoch 6 Batch 186/269 - Train Accuracy: 0.7615, Validation Accuracy: 0.7700, Loss: 0.3680
Epoch 6 Batch 187/269 - Train Accuracy: 0.7764, Validation Accuracy: 0.7725, Loss: 0.3555
Epoch 6 Batch 188/269 - Train Accuracy: 0.7797, Validation Accuracy: 0.7731, Loss: 0.3462
Epoch 6 Batch 189/269 - Train Accuracy: 0.7742, Validation Accuracy: 0.7735, Loss: 0.3485
Epoch 6 Batch 190/269 - Train Accuracy: 0.7612, Validation Accuracy: 0.7740, Loss: 0.3448
Epoch 6 Batch 191/269 - Train Accuracy: 0.7560, Validation Accuracy: 0.7721, Loss: 0.3529
Epoch 6 Batch 192/269 - Train Accuracy: 0.7708, Validation Accuracy: 0.7732, Loss: 0.3613
Epoch 6 Batch 193/269 - Train Accuracy: 0.7905, Validation Accuracy: 0.7857, Loss: 0.3518
Epoch 6 Batch 194/269 - Train Accuracy: 0.7658, Validation Accuracy: 0.7815, Loss: 0.3585
Epoch 6 Batch 195/269 - Train Accuracy: 0.7682, Validation Accuracy: 0.7742, Loss: 0.3640
Epoch 6 Batch 196/269 - Train Accuracy: 0.7526, Validation Accuracy: 0.7763, Loss: 0.3518
Epoch 6 Batch 197/269 - Train Accuracy: 0.7505, Validation Accuracy: 0.7638, Loss: 0.3812
Epoch 6 Batch 198/269 - Train Accuracy: 0.7396, Validation Accuracy: 0.7710, Loss: 0.3922
Epoch 6 Batch 199/269 - Train Accuracy: 0.7630, Validation Accuracy: 0.7771, Loss: 0.3851
Epoch 6 Batch 200/269 - Train Accuracy: 0.7654, Validation Accuracy: 0.7731, Loss: 0.3704
Epoch 6 Batch 201/269 - Train Accuracy: 0.7718, Validation Accuracy: 0.7703, Loss: 0.3655
Epoch 6 Batch 202/269 - Train Accuracy: 0.7547, Validation Accuracy: 0.7706, Loss: 0.3618
Epoch 6 Batch 203/269 - Train Accuracy: 0.7691, Validation Accuracy: 0.7754, Loss: 0.3848
Epoch 6 Batch 204/269 - Train Accuracy: 0.7551, Validation Accuracy: 0.7617, Loss: 0.3823
Epoch 6 Batch 205/269 - Train Accuracy: 0.7659, Validation Accuracy: 0.7785, Loss: 0.3537
Epoch 6 Batch 206/269 - Train Accuracy: 0.7612, Validation Accuracy: 0.7621, Loss: 0.3782
Epoch 6 Batch 207/269 - Train Accuracy: 0.7730, Validation Accuracy: 0.7782, Loss: 0.3565
Epoch 6 Batch 208/269 - Train Accuracy: 0.7718, Validation Accuracy: 0.7814, Loss: 0.3662
Epoch 6 Batch 209/269 - Train Accuracy: 0.7768, Validation Accuracy: 0.7716, Loss: 0.3586
Epoch 6 Batch 210/269 - Train Accuracy: 0.7655, Validation Accuracy: 0.7756, Loss: 0.3537
Epoch 6 Batch 211/269 - Train Accuracy: 0.7679, Validation Accuracy: 0.7805, Loss: 0.3603
Epoch 6 Batch 212/269 - Train Accuracy: 0.7773, Validation Accuracy: 0.7795, Loss: 0.3581
Epoch 6 Batch 213/269 - Train Accuracy: 0.7755, Validation Accuracy: 0.7778, Loss: 0.3573
Epoch 6 Batch 214/269 - Train Accuracy: 0.7603, Validation Accuracy: 0.7776, Loss: 0.3652
Epoch 6 Batch 215/269 - Train Accuracy: 0.7891, Validation Accuracy: 0.7741, Loss: 0.3350
Epoch 6 Batch 216/269 - Train Accuracy: 0.7597, Validation Accuracy: 0.7822, Loss: 0.3901
Epoch 6 Batch 217/269 - Train Accuracy: 0.7655, Validation Accuracy: 0.7822, Loss: 0.3673
Epoch 6 Batch 218/269 - Train Accuracy: 0.7818, Validation Accuracy: 0.7781, Loss: 0.3718
Epoch 6 Batch 219/269 - Train Accuracy: 0.7688, Validation Accuracy: 0.7790, Loss: 0.3672
Epoch 6 Batch 220/269 - Train Accuracy: 0.7991, Validation Accuracy: 0.7804, Loss: 0.3400
Epoch 6 Batch 221/269 - Train Accuracy: 0.8016, Validation Accuracy: 0.7764, Loss: 0.3599
Epoch 6 Batch 222/269 - Train Accuracy: 0.8024, Validation Accuracy: 0.7737, Loss: 0.3388
Epoch 6 Batch 223/269 - Train Accuracy: 0.7897, Validation Accuracy: 0.7763, Loss: 0.3481
Epoch 6 Batch 224/269 - Train Accuracy: 0.7692, Validation Accuracy: 0.7682, Loss: 0.3611
Epoch 6 Batch 225/269 - Train Accuracy: 0.7604, Validation Accuracy: 0.7592, Loss: 0.3638
Epoch 6 Batch 226/269 - Train Accuracy: 0.7811, Validation Accuracy: 0.7796, Loss: 0.3651
Epoch 6 Batch 227/269 - Train Accuracy: 0.8004, Validation Accuracy: 0.7725, Loss: 0.3350
Epoch 6 Batch 228/269 - Train Accuracy: 0.7499, Validation Accuracy: 0.7505, Loss: 0.3615
Epoch 6 Batch 229/269 - Train Accuracy: 0.7681, Validation Accuracy: 0.7644, Loss: 0.3664
Epoch 6 Batch 230/269 - Train Accuracy: 0.7580, Validation Accuracy: 0.7720, Loss: 0.3484
Epoch 6 Batch 231/269 - Train Accuracy: 0.7530, Validation Accuracy: 0.7665, Loss: 0.3743
Epoch 6 Batch 232/269 - Train Accuracy: 0.7476, Validation Accuracy: 0.7733, Loss: 0.3840
Epoch 6 Batch 233/269 - Train Accuracy: 0.7852, Validation Accuracy: 0.7739, Loss: 0.3624
Epoch 6 Batch 234/269 - Train Accuracy: 0.7694, Validation Accuracy: 0.7757, Loss: 0.3559
Epoch 6 Batch 235/269 - Train Accuracy: 0.7769, Validation Accuracy: 0.7724, Loss: 0.3476
Epoch 6 Batch 236/269 - Train Accuracy: 0.7652, Validation Accuracy: 0.7697, Loss: 0.3495
Epoch 6 Batch 237/269 - Train Accuracy: 0.7826, Validation Accuracy: 0.7815, Loss: 0.3605
Epoch 6 Batch 238/269 - Train Accuracy: 0.7710, Validation Accuracy: 0.7708, Loss: 0.3512
Epoch 6 Batch 239/269 - Train Accuracy: 0.7846, Validation Accuracy: 0.7833, Loss: 0.3624
Epoch 6 Batch 240/269 - Train Accuracy: 0.7897, Validation Accuracy: 0.7785, Loss: 0.3237
Epoch 6 Batch 241/269 - Train Accuracy: 0.7842, Validation Accuracy: 0.7797, Loss: 0.3658
Epoch 6 Batch 242/269 - Train Accuracy: 0.7717, Validation Accuracy: 0.7700, Loss: 0.3402
Epoch 6 Batch 243/269 - Train Accuracy: 0.7869, Validation Accuracy: 0.7846, Loss: 0.3376
Epoch 6 Batch 244/269 - Train Accuracy: 0.7637, Validation Accuracy: 0.7828, Loss: 0.3530
Epoch 6 Batch 245/269 - Train Accuracy: 0.7521, Validation Accuracy: 0.7705, Loss: 0.3766
Epoch 6 Batch 246/269 - Train Accuracy: 0.7635, Validation Accuracy: 0.7727, Loss: 0.3562
Epoch 6 Batch 247/269 - Train Accuracy: 0.7639, Validation Accuracy: 0.7739, Loss: 0.3613
Epoch 6 Batch 248/269 - Train Accuracy: 0.7830, Validation Accuracy: 0.7747, Loss: 0.3405
Epoch 6 Batch 249/269 - Train Accuracy: 0.8038, Validation Accuracy: 0.7808, Loss: 0.3271
Epoch 6 Batch 250/269 - Train Accuracy: 0.7602, Validation Accuracy: 0.7769, Loss: 0.3504
Epoch 6 Batch 251/269 - Train Accuracy: 0.7992, Validation Accuracy: 0.7801, Loss: 0.3403
Epoch 6 Batch 252/269 - Train Accuracy: 0.7575, Validation Accuracy: 0.7766, Loss: 0.3527
Epoch 6 Batch 253/269 - Train Accuracy: 0.7680, Validation Accuracy: 0.7852, Loss: 0.3641
Epoch 6 Batch 254/269 - Train Accuracy: 0.7904, Validation Accuracy: 0.7828, Loss: 0.3478
Epoch 6 Batch 255/269 - Train Accuracy: 0.7793, Validation Accuracy: 0.7767, Loss: 0.3435
Epoch 6 Batch 256/269 - Train Accuracy: 0.7677, Validation Accuracy: 0.7797, Loss: 0.3534
Epoch 6 Batch 257/269 - Train Accuracy: 0.7888, Validation Accuracy: 0.7818, Loss: 0.3489
Epoch 6 Batch 258/269 - Train Accuracy: 0.7873, Validation Accuracy: 0.7778, Loss: 0.3553
Epoch 6 Batch 259/269 - Train Accuracy: 0.7840, Validation Accuracy: 0.7834, Loss: 0.3490
Epoch 6 Batch 260/269 - Train Accuracy: 0.7648, Validation Accuracy: 0.7866, Loss: 0.3687
Epoch 6 Batch 261/269 - Train Accuracy: 0.7884, Validation Accuracy: 0.7894, Loss: 0.3650
Epoch 6 Batch 262/269 - Train Accuracy: 0.7809, Validation Accuracy: 0.7952, Loss: 0.3439
Epoch 6 Batch 263/269 - Train Accuracy: 0.7652, Validation Accuracy: 0.7888, Loss: 0.3571
Epoch 6 Batch 264/269 - Train Accuracy: 0.7671, Validation Accuracy: 0.7872, Loss: 0.3631
Epoch 6 Batch 265/269 - Train Accuracy: 0.7856, Validation Accuracy: 0.7866, Loss: 0.3493
Epoch 6 Batch 266/269 - Train Accuracy: 0.7800, Validation Accuracy: 0.7883, Loss: 0.3385
Epoch 6 Batch 267/269 - Train Accuracy: 0.7692, Validation Accuracy: 0.7825, Loss: 0.3569
Epoch 7 Batch 1/269 - Train Accuracy: 0.7770, Validation Accuracy: 0.7754, Loss: 0.3528
Epoch 7 Batch 2/269 - Train Accuracy: 0.7717, Validation Accuracy: 0.7856, Loss: 0.3498
Epoch 7 Batch 3/269 - Train Accuracy: 0.7872, Validation Accuracy: 0.7778, Loss: 0.3557
Epoch 7 Batch 4/269 - Train Accuracy: 0.7424, Validation Accuracy: 0.7741, Loss: 0.3639
Epoch 7 Batch 5/269 - Train Accuracy: 0.7491, Validation Accuracy: 0.7893, Loss: 0.3612
Epoch 7 Batch 6/269 - Train Accuracy: 0.7917, Validation Accuracy: 0.7781, Loss: 0.3312
Epoch 7 Batch 7/269 - Train Accuracy: 0.7839, Validation Accuracy: 0.7769, Loss: 0.3456
Epoch 7 Batch 8/269 - Train Accuracy: 0.7734, Validation Accuracy: 0.7841, Loss: 0.3618
Epoch 7 Batch 9/269 - Train Accuracy: 0.7621, Validation Accuracy: 0.7701, Loss: 0.3566
Epoch 7 Batch 10/269 - Train Accuracy: 0.7812, Validation Accuracy: 0.7844, Loss: 0.3537
Epoch 7 Batch 11/269 - Train Accuracy: 0.7825, Validation Accuracy: 0.7890, Loss: 0.3527
Epoch 7 Batch 12/269 - Train Accuracy: 0.7825, Validation Accuracy: 0.7834, Loss: 0.3625
Epoch 7 Batch 13/269 - Train Accuracy: 0.7886, Validation Accuracy: 0.7881, Loss: 0.3173
Epoch 7 Batch 14/269 - Train Accuracy: 0.7601, Validation Accuracy: 0.7645, Loss: 0.3412
Epoch 7 Batch 15/269 - Train Accuracy: 0.7795, Validation Accuracy: 0.7884, Loss: 0.3394
Epoch 7 Batch 16/269 - Train Accuracy: 0.7731, Validation Accuracy: 0.7820, Loss: 0.3515
Epoch 7 Batch 17/269 - Train Accuracy: 0.7901, Validation Accuracy: 0.7830, Loss: 0.3368
Epoch 7 Batch 18/269 - Train Accuracy: 0.7684, Validation Accuracy: 0.7820, Loss: 0.3539
Epoch 7 Batch 19/269 - Train Accuracy: 0.8056, Validation Accuracy: 0.7833, Loss: 0.3173
Epoch 7 Batch 20/269 - Train Accuracy: 0.7793, Validation Accuracy: 0.7834, Loss: 0.3471
Epoch 7 Batch 21/269 - Train Accuracy: 0.7852, Validation Accuracy: 0.7908, Loss: 0.3660
Epoch 7 Batch 22/269 - Train Accuracy: 0.7967, Validation Accuracy: 0.7858, Loss: 0.3309
Epoch 7 Batch 23/269 - Train Accuracy: 0.7750, Validation Accuracy: 0.7798, Loss: 0.3312
Epoch 7 Batch 24/269 - Train Accuracy: 0.7783, Validation Accuracy: 0.7907, Loss: 0.3486
Epoch 7 Batch 25/269 - Train Accuracy: 0.7812, Validation Accuracy: 0.7888, Loss: 0.3614
Epoch 7 Batch 26/269 - Train Accuracy: 0.7892, Validation Accuracy: 0.7786, Loss: 0.3131
Epoch 7 Batch 27/269 - Train Accuracy: 0.7793, Validation Accuracy: 0.7728, Loss: 0.3308
Epoch 7 Batch 28/269 - Train Accuracy: 0.7406, Validation Accuracy: 0.7887, Loss: 0.3704
Epoch 7 Batch 29/269 - Train Accuracy: 0.8040, Validation Accuracy: 0.7819, Loss: 0.3531
Epoch 7 Batch 30/269 - Train Accuracy: 0.7768, Validation Accuracy: 0.7764, Loss: 0.3320
Epoch 7 Batch 31/269 - Train Accuracy: 0.7766, Validation Accuracy: 0.7773, Loss: 0.3260
Epoch 7 Batch 32/269 - Train Accuracy: 0.7731, Validation Accuracy: 0.7766, Loss: 0.3416
Epoch 7 Batch 33/269 - Train Accuracy: 0.7992, Validation Accuracy: 0.7882, Loss: 0.3274
Epoch 7 Batch 34/269 - Train Accuracy: 0.7820, Validation Accuracy: 0.7829, Loss: 0.3352
Epoch 7 Batch 35/269 - Train Accuracy: 0.7767, Validation Accuracy: 0.7694, Loss: 0.3559
Epoch 7 Batch 36/269 - Train Accuracy: 0.7733, Validation Accuracy: 0.7947, Loss: 0.3440
Epoch 7 Batch 37/269 - Train Accuracy: 0.7801, Validation Accuracy: 0.7813, Loss: 0.3348
Epoch 7 Batch 38/269 - Train Accuracy: 0.7793, Validation Accuracy: 0.7788, Loss: 0.3453
Epoch 7 Batch 39/269 - Train Accuracy: 0.7744, Validation Accuracy: 0.7765, Loss: 0.3384
Epoch 7 Batch 40/269 - Train Accuracy: 0.7591, Validation Accuracy: 0.7821, Loss: 0.3566
Epoch 7 Batch 41/269 - Train Accuracy: 0.7741, Validation Accuracy: 0.7923, Loss: 0.3554
Epoch 7 Batch 42/269 - Train Accuracy: 0.7970, Validation Accuracy: 0.7862, Loss: 0.3201
Epoch 7 Batch 43/269 - Train Accuracy: 0.7664, Validation Accuracy: 0.7836, Loss: 0.3532
Epoch 7 Batch 44/269 - Train Accuracy: 0.7846, Validation Accuracy: 0.7837, Loss: 0.3331
Epoch 7 Batch 45/269 - Train Accuracy: 0.7716, Validation Accuracy: 0.7730, Loss: 0.3531
Epoch 7 Batch 46/269 - Train Accuracy: 0.7733, Validation Accuracy: 0.7874, Loss: 0.3500
Epoch 7 Batch 47/269 - Train Accuracy: 0.7919, Validation Accuracy: 0.7828, Loss: 0.3097
Epoch 7 Batch 48/269 - Train Accuracy: 0.7990, Validation Accuracy: 0.7820, Loss: 0.3324
Epoch 7 Batch 49/269 - Train Accuracy: 0.7569, Validation Accuracy: 0.7664, Loss: 0.3372
Epoch 7 Batch 50/269 - Train Accuracy: 0.7707, Validation Accuracy: 0.7939, Loss: 0.3599
Epoch 7 Batch 51/269 - Train Accuracy: 0.7779, Validation Accuracy: 0.7941, Loss: 0.3323
Epoch 7 Batch 52/269 - Train Accuracy: 0.7717, Validation Accuracy: 0.7983, Loss: 0.3141
Epoch 7 Batch 53/269 - Train Accuracy: 0.7786, Validation Accuracy: 0.7827, Loss: 0.3501
Epoch 7 Batch 54/269 - Train Accuracy: 0.7953, Validation Accuracy: 0.7907, Loss: 0.3429
Epoch 7 Batch 55/269 - Train Accuracy: 0.7848, Validation Accuracy: 0.7882, Loss: 0.3221
Epoch 7 Batch 56/269 - Train Accuracy: 0.7723, Validation Accuracy: 0.7878, Loss: 0.3356
Epoch 7 Batch 57/269 - Train Accuracy: 0.7966, Validation Accuracy: 0.7992, Loss: 0.3494
Epoch 7 Batch 58/269 - Train Accuracy: 0.7833, Validation Accuracy: 0.7815, Loss: 0.3220
Epoch 7 Batch 59/269 - Train Accuracy: 0.8036, Validation Accuracy: 0.7805, Loss: 0.3086
Epoch 7 Batch 60/269 - Train Accuracy: 0.7910, Validation Accuracy: 0.7895, Loss: 0.3205
Epoch 7 Batch 61/269 - Train Accuracy: 0.7957, Validation Accuracy: 0.7906, Loss: 0.3117
Epoch 7 Batch 62/269 - Train Accuracy: 0.7971, Validation Accuracy: 0.7954, Loss: 0.3232
Epoch 7 Batch 63/269 - Train Accuracy: 0.7786, Validation Accuracy: 0.7872, Loss: 0.3362
Epoch 7 Batch 64/269 - Train Accuracy: 0.7859, Validation Accuracy: 0.8017, Loss: 0.3162
Epoch 7 Batch 65/269 - Train Accuracy: 0.7792, Validation Accuracy: 0.7983, Loss: 0.3270
Epoch 7 Batch 66/269 - Train Accuracy: 0.7887, Validation Accuracy: 0.8023, Loss: 0.3216
Epoch 7 Batch 67/269 - Train Accuracy: 0.7932, Validation Accuracy: 0.8024, Loss: 0.3408
Epoch 7 Batch 68/269 - Train Accuracy: 0.7818, Validation Accuracy: 0.8003, Loss: 0.3408
Epoch 7 Batch 69/269 - Train Accuracy: 0.7667, Validation Accuracy: 0.7922, Loss: 0.3678
Epoch 7 Batch 70/269 - Train Accuracy: 0.8113, Validation Accuracy: 0.7932, Loss: 0.3328
Epoch 7 Batch 71/269 - Train Accuracy: 0.7757, Validation Accuracy: 0.7902, Loss: 0.3465
Epoch 7 Batch 72/269 - Train Accuracy: 0.7831, Validation Accuracy: 0.7983, Loss: 0.3294
Epoch 7 Batch 73/269 - Train Accuracy: 0.7813, Validation Accuracy: 0.7944, Loss: 0.3401
Epoch 7 Batch 74/269 - Train Accuracy: 0.7954, Validation Accuracy: 0.7997, Loss: 0.3288
Epoch 7 Batch 75/269 - Train Accuracy: 0.8012, Validation Accuracy: 0.7961, Loss: 0.3231
Epoch 7 Batch 76/269 - Train Accuracy: 0.7867, Validation Accuracy: 0.7968, Loss: 0.3361
Epoch 7 Batch 77/269 - Train Accuracy: 0.7903, Validation Accuracy: 0.7902, Loss: 0.3245
Epoch 7 Batch 78/269 - Train Accuracy: 0.8031, Validation Accuracy: 0.7931, Loss: 0.3252
Epoch 7 Batch 79/269 - Train Accuracy: 0.7799, Validation Accuracy: 0.7914, Loss: 0.3229
Epoch 7 Batch 80/269 - Train Accuracy: 0.8072, Validation Accuracy: 0.7904, Loss: 0.3259
Epoch 7 Batch 81/269 - Train Accuracy: 0.7904, Validation Accuracy: 0.7970, Loss: 0.3503
Epoch 7 Batch 82/269 - Train Accuracy: 0.8125, Validation Accuracy: 0.7965, Loss: 0.3098
Epoch 7 Batch 83/269 - Train Accuracy: 0.7764, Validation Accuracy: 0.7967, Loss: 0.3360
Epoch 7 Batch 84/269 - Train Accuracy: 0.7997, Validation Accuracy: 0.7932, Loss: 0.3225
Epoch 7 Batch 85/269 - Train Accuracy: 0.8031, Validation Accuracy: 0.7899, Loss: 0.3277
Epoch 7 Batch 86/269 - Train Accuracy: 0.7919, Validation Accuracy: 0.7936, Loss: 0.3302
Epoch 7 Batch 87/269 - Train Accuracy: 0.7761, Validation Accuracy: 0.7980, Loss: 0.3561
Epoch 7 Batch 88/269 - Train Accuracy: 0.7824, Validation Accuracy: 0.7951, Loss: 0.3383
Epoch 7 Batch 89/269 - Train Accuracy: 0.7869, Validation Accuracy: 0.7811, Loss: 0.3326
Epoch 7 Batch 90/269 - Train Accuracy: 0.7793, Validation Accuracy: 0.7955, Loss: 0.3481
Epoch 7 Batch 91/269 - Train Accuracy: 0.8043, Validation Accuracy: 0.7891, Loss: 0.3132
Epoch 7 Batch 92/269 - Train Accuracy: 0.8039, Validation Accuracy: 0.7985, Loss: 0.3238
Epoch 7 Batch 93/269 - Train Accuracy: 0.7969, Validation Accuracy: 0.7927, Loss: 0.3151
Epoch 7 Batch 94/269 - Train Accuracy: 0.7835, Validation Accuracy: 0.7978, Loss: 0.3412
Epoch 7 Batch 95/269 - Train Accuracy: 0.7996, Validation Accuracy: 0.8016, Loss: 0.3239
Epoch 7 Batch 96/269 - Train Accuracy: 0.7773, Validation Accuracy: 0.7917, Loss: 0.3197
Epoch 7 Batch 97/269 - Train Accuracy: 0.8052, Validation Accuracy: 0.7993, Loss: 0.3268
Epoch 7 Batch 98/269 - Train Accuracy: 0.8005, Validation Accuracy: 0.7966, Loss: 0.3242
Epoch 7 Batch 99/269 - Train Accuracy: 0.7650, Validation Accuracy: 0.8016, Loss: 0.3343
Epoch 7 Batch 100/269 - Train Accuracy: 0.8178, Validation Accuracy: 0.8028, Loss: 0.3260
Epoch 7 Batch 101/269 - Train Accuracy: 0.7739, Validation Accuracy: 0.7918, Loss: 0.3497
Epoch 7 Batch 102/269 - Train Accuracy: 0.7745, Validation Accuracy: 0.7919, Loss: 0.3232
Epoch 7 Batch 103/269 - Train Accuracy: 0.8065, Validation Accuracy: 0.7973, Loss: 0.3313
Epoch 7 Batch 104/269 - Train Accuracy: 0.7879, Validation Accuracy: 0.7843, Loss: 0.3167
Epoch 7 Batch 105/269 - Train Accuracy: 0.7938, Validation Accuracy: 0.8013, Loss: 0.3292
Epoch 7 Batch 106/269 - Train Accuracy: 0.7928, Validation Accuracy: 0.7926, Loss: 0.3161
Epoch 7 Batch 107/269 - Train Accuracy: 0.7808, Validation Accuracy: 0.7947, Loss: 0.3403
Epoch 7 Batch 108/269 - Train Accuracy: 0.7978, Validation Accuracy: 0.7952, Loss: 0.3225
Epoch 7 Batch 109/269 - Train Accuracy: 0.7746, Validation Accuracy: 0.8067, Loss: 0.3289
Epoch 7 Batch 110/269 - Train Accuracy: 0.7960, Validation Accuracy: 0.8094, Loss: 0.3214
Epoch 7 Batch 111/269 - Train Accuracy: 0.7847, Validation Accuracy: 0.7951, Loss: 0.3508
Epoch 7 Batch 112/269 - Train Accuracy: 0.7839, Validation Accuracy: 0.7884, Loss: 0.3161
Epoch 7 Batch 113/269 - Train Accuracy: 0.7970, Validation Accuracy: 0.8034, Loss: 0.3128
Epoch 7 Batch 114/269 - Train Accuracy: 0.8087, Validation Accuracy: 0.8076, Loss: 0.3198
Epoch 7 Batch 115/269 - Train Accuracy: 0.7767, Validation Accuracy: 0.8086, Loss: 0.3437
Epoch 7 Batch 116/269 - Train Accuracy: 0.8078, Validation Accuracy: 0.8011, Loss: 0.3323
Epoch 7 Batch 117/269 - Train Accuracy: 0.7818, Validation Accuracy: 0.7978, Loss: 0.3166
Epoch 7 Batch 118/269 - Train Accuracy: 0.8006, Validation Accuracy: 0.8000, Loss: 0.3095
Epoch 7 Batch 119/269 - Train Accuracy: 0.7898, Validation Accuracy: 0.7992, Loss: 0.3304
Epoch 7 Batch 120/269 - Train Accuracy: 0.7852, Validation Accuracy: 0.8058, Loss: 0.3341
Epoch 7 Batch 121/269 - Train Accuracy: 0.7883, Validation Accuracy: 0.8046, Loss: 0.3123
Epoch 7 Batch 122/269 - Train Accuracy: 0.7902, Validation Accuracy: 0.7995, Loss: 0.3138
Epoch 7 Batch 123/269 - Train Accuracy: 0.7932, Validation Accuracy: 0.7861, Loss: 0.3341
Epoch 7 Batch 124/269 - Train Accuracy: 0.7812, Validation Accuracy: 0.7952, Loss: 0.3095
Epoch 7 Batch 125/269 - Train Accuracy: 0.7959, Validation Accuracy: 0.7822, Loss: 0.3067
Epoch 7 Batch 126/269 - Train Accuracy: 0.7917, Validation Accuracy: 0.7877, Loss: 0.3219
Epoch 7 Batch 127/269 - Train Accuracy: 0.7914, Validation Accuracy: 0.7917, Loss: 0.3279
Epoch 7 Batch 128/269 - Train Accuracy: 0.7877, Validation Accuracy: 0.7974, Loss: 0.3204
Epoch 7 Batch 129/269 - Train Accuracy: 0.7999, Validation Accuracy: 0.8026, Loss: 0.3170
Epoch 7 Batch 130/269 - Train Accuracy: 0.7763, Validation Accuracy: 0.7877, Loss: 0.3327
Epoch 7 Batch 131/269 - Train Accuracy: 0.7826, Validation Accuracy: 0.7963, Loss: 0.3287
Epoch 7 Batch 132/269 - Train Accuracy: 0.7790, Validation Accuracy: 0.8089, Loss: 0.3280
Epoch 7 Batch 133/269 - Train Accuracy: 0.8079, Validation Accuracy: 0.7984, Loss: 0.3081
Epoch 7 Batch 134/269 - Train Accuracy: 0.7742, Validation Accuracy: 0.8009, Loss: 0.3213
Epoch 7 Batch 135/269 - Train Accuracy: 0.7881, Validation Accuracy: 0.8023, Loss: 0.3399
Epoch 7 Batch 136/269 - Train Accuracy: 0.7918, Validation Accuracy: 0.8059, Loss: 0.3305
Epoch 7 Batch 137/269 - Train Accuracy: 0.7765, Validation Accuracy: 0.8053, Loss: 0.3311
Epoch 7 Batch 138/269 - Train Accuracy: 0.8038, Validation Accuracy: 0.7985, Loss: 0.3156
Epoch 7 Batch 139/269 - Train Accuracy: 0.8056, Validation Accuracy: 0.8066, Loss: 0.3045
Epoch 7 Batch 140/269 - Train Accuracy: 0.8073, Validation Accuracy: 0.8088, Loss: 0.3252
Epoch 7 Batch 141/269 - Train Accuracy: 0.8003, Validation Accuracy: 0.8096, Loss: 0.3234
Epoch 7 Batch 142/269 - Train Accuracy: 0.8057, Validation Accuracy: 0.8101, Loss: 0.3016
Epoch 7 Batch 143/269 - Train Accuracy: 0.8051, Validation Accuracy: 0.8092, Loss: 0.3160
Epoch 7 Batch 144/269 - Train Accuracy: 0.8013, Validation Accuracy: 0.8081, Loss: 0.3020
Epoch 7 Batch 145/269 - Train Accuracy: 0.8051, Validation Accuracy: 0.8079, Loss: 0.3127
Epoch 7 Batch 146/269 - Train Accuracy: 0.8093, Validation Accuracy: 0.8041, Loss: 0.3065
Epoch 7 Batch 147/269 - Train Accuracy: 0.8165, Validation Accuracy: 0.8049, Loss: 0.3010
Epoch 7 Batch 148/269 - Train Accuracy: 0.7941, Validation Accuracy: 0.8060, Loss: 0.3135
Epoch 7 Batch 149/269 - Train Accuracy: 0.7782, Validation Accuracy: 0.8089, Loss: 0.3171
Epoch 7 Batch 150/269 - Train Accuracy: 0.7954, Validation Accuracy: 0.8108, Loss: 0.3113
Epoch 7 Batch 151/269 - Train Accuracy: 0.8082, Validation Accuracy: 0.8135, Loss: 0.3053
Epoch 7 Batch 152/269 - Train Accuracy: 0.7985, Validation Accuracy: 0.8085, Loss: 0.3096
Epoch 7 Batch 153/269 - Train Accuracy: 0.8060, Validation Accuracy: 0.8039, Loss: 0.3005
Epoch 7 Batch 154/269 - Train Accuracy: 0.8018, Validation Accuracy: 0.8089, Loss: 0.3195
Epoch 7 Batch 155/269 - Train Accuracy: 0.8244, Validation Accuracy: 0.8079, Loss: 0.2999
Epoch 7 Batch 156/269 - Train Accuracy: 0.7854, Validation Accuracy: 0.8089, Loss: 0.3194
Epoch 7 Batch 157/269 - Train Accuracy: 0.8074, Validation Accuracy: 0.8119, Loss: 0.3025
Epoch 7 Batch 158/269 - Train Accuracy: 0.7998, Validation Accuracy: 0.8098, Loss: 0.3095
Epoch 7 Batch 159/269 - Train Accuracy: 0.7844, Validation Accuracy: 0.8143, Loss: 0.3072
Epoch 7 Batch 160/269 - Train Accuracy: 0.8083, Validation Accuracy: 0.8139, Loss: 0.3063
Epoch 7 Batch 161/269 - Train Accuracy: 0.8022, Validation Accuracy: 0.8127, Loss: 0.3142
Epoch 7 Batch 162/269 - Train Accuracy: 0.8155, Validation Accuracy: 0.8118, Loss: 0.2957
Epoch 7 Batch 163/269 - Train Accuracy: 0.8144, Validation Accuracy: 0.8000, Loss: 0.3074
Epoch 7 Batch 164/269 - Train Accuracy: 0.8167, Validation Accuracy: 0.8070, Loss: 0.3078
Epoch 7 Batch 165/269 - Train Accuracy: 0.8044, Validation Accuracy: 0.8047, Loss: 0.3157
Epoch 7 Batch 166/269 - Train Accuracy: 0.8126, Validation Accuracy: 0.8111, Loss: 0.2981
Epoch 7 Batch 167/269 - Train Accuracy: 0.8134, Validation Accuracy: 0.8050, Loss: 0.3069
Epoch 7 Batch 168/269 - Train Accuracy: 0.7973, Validation Accuracy: 0.8112, Loss: 0.3221
Epoch 7 Batch 169/269 - Train Accuracy: 0.7951, Validation Accuracy: 0.8096, Loss: 0.3145
Epoch 7 Batch 170/269 - Train Accuracy: 0.8090, Validation Accuracy: 0.8088, Loss: 0.3051
Epoch 7 Batch 171/269 - Train Accuracy: 0.8185, Validation Accuracy: 0.8113, Loss: 0.3119
Epoch 7 Batch 172/269 - Train Accuracy: 0.7955, Validation Accuracy: 0.8061, Loss: 0.3179
Epoch 7 Batch 173/269 - Train Accuracy: 0.8244, Validation Accuracy: 0.8081, Loss: 0.2954
Epoch 7 Batch 174/269 - Train Accuracy: 0.8111, Validation Accuracy: 0.8050, Loss: 0.3087
Epoch 7 Batch 175/269 - Train Accuracy: 0.8001, Validation Accuracy: 0.8124, Loss: 0.3275
Epoch 7 Batch 176/269 - Train Accuracy: 0.7871, Validation Accuracy: 0.8091, Loss: 0.3198
Epoch 7 Batch 177/269 - Train Accuracy: 0.8059, Validation Accuracy: 0.8050, Loss: 0.2918
Epoch 7 Batch 178/269 - Train Accuracy: 0.8144, Validation Accuracy: 0.8132, Loss: 0.3095
Epoch 7 Batch 179/269 - Train Accuracy: 0.7964, Validation Accuracy: 0.8061, Loss: 0.3076
Epoch 7 Batch 180/269 - Train Accuracy: 0.8196, Validation Accuracy: 0.8067, Loss: 0.3022
Epoch 7 Batch 181/269 - Train Accuracy: 0.7871, Validation Accuracy: 0.8155, Loss: 0.3074
Epoch 7 Batch 182/269 - Train Accuracy: 0.8084, Validation Accuracy: 0.8110, Loss: 0.3086
Epoch 7 Batch 183/269 - Train Accuracy: 0.8359, Validation Accuracy: 0.8137, Loss: 0.2678
Epoch 7 Batch 184/269 - Train Accuracy: 0.7978, Validation Accuracy: 0.8135, Loss: 0.3122
Epoch 7 Batch 185/269 - Train Accuracy: 0.8140, Validation Accuracy: 0.8119, Loss: 0.3004
Epoch 7 Batch 186/269 - Train Accuracy: 0.8111, Validation Accuracy: 0.8145, Loss: 0.3063
Epoch 7 Batch 187/269 - Train Accuracy: 0.8063, Validation Accuracy: 0.8129, Loss: 0.2941
Epoch 7 Batch 188/269 - Train Accuracy: 0.8252, Validation Accuracy: 0.8205, Loss: 0.2930
Epoch 7 Batch 189/269 - Train Accuracy: 0.8162, Validation Accuracy: 0.8132, Loss: 0.2924
Epoch 7 Batch 190/269 - Train Accuracy: 0.8037, Validation Accuracy: 0.8106, Loss: 0.2905
Epoch 7 Batch 191/269 - Train Accuracy: 0.8008, Validation Accuracy: 0.8111, Loss: 0.2951
Epoch 7 Batch 192/269 - Train Accuracy: 0.8131, Validation Accuracy: 0.8158, Loss: 0.3041
Epoch 7 Batch 193/269 - Train Accuracy: 0.8248, Validation Accuracy: 0.8140, Loss: 0.2958
Epoch 7 Batch 194/269 - Train Accuracy: 0.8053, Validation Accuracy: 0.8174, Loss: 0.3023
Epoch 7 Batch 195/269 - Train Accuracy: 0.8175, Validation Accuracy: 0.8116, Loss: 0.3039
Epoch 7 Batch 196/269 - Train Accuracy: 0.8096, Validation Accuracy: 0.8094, Loss: 0.2883
Epoch 7 Batch 197/269 - Train Accuracy: 0.7986, Validation Accuracy: 0.8112, Loss: 0.3179
Epoch 7 Batch 198/269 - Train Accuracy: 0.7915, Validation Accuracy: 0.8106, Loss: 0.3193
Epoch 7 Batch 199/269 - Train Accuracy: 0.8050, Validation Accuracy: 0.8123, Loss: 0.3130
Epoch 7 Batch 200/269 - Train Accuracy: 0.8076, Validation Accuracy: 0.8112, Loss: 0.3092
Epoch 7 Batch 201/269 - Train Accuracy: 0.8169, Validation Accuracy: 0.8067, Loss: 0.3005
Epoch 7 Batch 202/269 - Train Accuracy: 0.7869, Validation Accuracy: 0.7966, Loss: 0.3046
Epoch 7 Batch 203/269 - Train Accuracy: 0.7956, Validation Accuracy: 0.7980, Loss: 0.3336
Epoch 7 Batch 204/269 - Train Accuracy: 0.7971, Validation Accuracy: 0.8065, Loss: 0.3263
Epoch 7 Batch 205/269 - Train Accuracy: 0.8015, Validation Accuracy: 0.7947, Loss: 0.3013
Epoch 7 Batch 206/269 - Train Accuracy: 0.7925, Validation Accuracy: 0.8008, Loss: 0.3191
Epoch 7 Batch 207/269 - Train Accuracy: 0.7980, Validation Accuracy: 0.7879, Loss: 0.3010
Epoch 7 Batch 208/269 - Train Accuracy: 0.8159, Validation Accuracy: 0.8031, Loss: 0.3168
Epoch 7 Batch 209/269 - Train Accuracy: 0.8261, Validation Accuracy: 0.8084, Loss: 0.2986
Epoch 7 Batch 210/269 - Train Accuracy: 0.8107, Validation Accuracy: 0.8031, Loss: 0.2932
Epoch 7 Batch 211/269 - Train Accuracy: 0.8026, Validation Accuracy: 0.8035, Loss: 0.3076
Epoch 7 Batch 212/269 - Train Accuracy: 0.8111, Validation Accuracy: 0.8124, Loss: 0.2990
Epoch 7 Batch 213/269 - Train Accuracy: 0.8061, Validation Accuracy: 0.8079, Loss: 0.2999
Epoch 7 Batch 214/269 - Train Accuracy: 0.7977, Validation Accuracy: 0.8092, Loss: 0.3078
Epoch 7 Batch 215/269 - Train Accuracy: 0.8247, Validation Accuracy: 0.8049, Loss: 0.2725
Epoch 7 Batch 216/269 - Train Accuracy: 0.7903, Validation Accuracy: 0.8089, Loss: 0.3270
Epoch 7 Batch 217/269 - Train Accuracy: 0.7966, Validation Accuracy: 0.8056, Loss: 0.3106
Epoch 7 Batch 218/269 - Train Accuracy: 0.8243, Validation Accuracy: 0.8053, Loss: 0.3089
Epoch 7 Batch 219/269 - Train Accuracy: 0.8046, Validation Accuracy: 0.8098, Loss: 0.3151
Epoch 7 Batch 220/269 - Train Accuracy: 0.8362, Validation Accuracy: 0.8109, Loss: 0.2769
Epoch 7 Batch 221/269 - Train Accuracy: 0.8282, Validation Accuracy: 0.8070, Loss: 0.3001
Epoch 7 Batch 222/269 - Train Accuracy: 0.8427, Validation Accuracy: 0.8102, Loss: 0.2858
Epoch 7 Batch 223/269 - Train Accuracy: 0.8131, Validation Accuracy: 0.8034, Loss: 0.2916
Epoch 7 Batch 224/269 - Train Accuracy: 0.8171, Validation Accuracy: 0.8119, Loss: 0.3105
Epoch 7 Batch 225/269 - Train Accuracy: 0.8117, Validation Accuracy: 0.8109, Loss: 0.2929
Epoch 7 Batch 226/269 - Train Accuracy: 0.8145, Validation Accuracy: 0.8115, Loss: 0.2992
Epoch 7 Batch 227/269 - Train Accuracy: 0.8360, Validation Accuracy: 0.8083, Loss: 0.2777
Epoch 7 Batch 228/269 - Train Accuracy: 0.8038, Validation Accuracy: 0.8011, Loss: 0.2973
Epoch 7 Batch 229/269 - Train Accuracy: 0.8076, Validation Accuracy: 0.8118, Loss: 0.2946
Epoch 7 Batch 230/269 - Train Accuracy: 0.7981, Validation Accuracy: 0.7995, Loss: 0.2907
Epoch 7 Batch 231/269 - Train Accuracy: 0.7988, Validation Accuracy: 0.8105, Loss: 0.3169
Epoch 7 Batch 232/269 - Train Accuracy: 0.7968, Validation Accuracy: 0.8120, Loss: 0.3202
Epoch 7 Batch 233/269 - Train Accuracy: 0.8172, Validation Accuracy: 0.8058, Loss: 0.2996
Epoch 7 Batch 234/269 - Train Accuracy: 0.8134, Validation Accuracy: 0.8070, Loss: 0.2954
Epoch 7 Batch 235/269 - Train Accuracy: 0.8182, Validation Accuracy: 0.8101, Loss: 0.2847
Epoch 7 Batch 236/269 - Train Accuracy: 0.8105, Validation Accuracy: 0.8145, Loss: 0.2892
Epoch 7 Batch 237/269 - Train Accuracy: 0.8136, Validation Accuracy: 0.8047, Loss: 0.2891
Epoch 7 Batch 238/269 - Train Accuracy: 0.8247, Validation Accuracy: 0.8144, Loss: 0.2968
Epoch 7 Batch 239/269 - Train Accuracy: 0.8163, Validation Accuracy: 0.8090, Loss: 0.2876
Epoch 7 Batch 240/269 - Train Accuracy: 0.8244, Validation Accuracy: 0.8123, Loss: 0.2670
Epoch 7 Batch 241/269 - Train Accuracy: 0.8135, Validation Accuracy: 0.8051, Loss: 0.2995
Epoch 7 Batch 242/269 - Train Accuracy: 0.8158, Validation Accuracy: 0.8146, Loss: 0.2914
Epoch 7 Batch 243/269 - Train Accuracy: 0.8209, Validation Accuracy: 0.8116, Loss: 0.2831
Epoch 7 Batch 244/269 - Train Accuracy: 0.8063, Validation Accuracy: 0.8098, Loss: 0.2929
Epoch 7 Batch 245/269 - Train Accuracy: 0.7929, Validation Accuracy: 0.8110, Loss: 0.3163
Epoch 7 Batch 246/269 - Train Accuracy: 0.8042, Validation Accuracy: 0.8124, Loss: 0.2945
Epoch 7 Batch 247/269 - Train Accuracy: 0.8032, Validation Accuracy: 0.8110, Loss: 0.3067
Epoch 7 Batch 248/269 - Train Accuracy: 0.8246, Validation Accuracy: 0.8008, Loss: 0.2860
Epoch 7 Batch 249/269 - Train Accuracy: 0.8366, Validation Accuracy: 0.7989, Loss: 0.2726
Epoch 7 Batch 250/269 - Train Accuracy: 0.7911, Validation Accuracy: 0.8073, Loss: 0.2910
Epoch 7 Batch 251/269 - Train Accuracy: 0.8369, Validation Accuracy: 0.8073, Loss: 0.2839
Epoch 7 Batch 252/269 - Train Accuracy: 0.8071, Validation Accuracy: 0.8030, Loss: 0.2889
Epoch 7 Batch 253/269 - Train Accuracy: 0.8026, Validation Accuracy: 0.8063, Loss: 0.3003
Epoch 7 Batch 254/269 - Train Accuracy: 0.8211, Validation Accuracy: 0.8086, Loss: 0.2917
Epoch 7 Batch 255/269 - Train Accuracy: 0.8204, Validation Accuracy: 0.8092, Loss: 0.2887
Epoch 7 Batch 256/269 - Train Accuracy: 0.7941, Validation Accuracy: 0.8164, Loss: 0.2948
Epoch 7 Batch 257/269 - Train Accuracy: 0.8012, Validation Accuracy: 0.8090, Loss: 0.3107
Epoch 7 Batch 258/269 - Train Accuracy: 0.8227, Validation Accuracy: 0.8143, Loss: 0.2964
Epoch 7 Batch 259/269 - Train Accuracy: 0.8232, Validation Accuracy: 0.8146, Loss: 0.2855
Epoch 7 Batch 260/269 - Train Accuracy: 0.7916, Validation Accuracy: 0.8142, Loss: 0.3131
Epoch 7 Batch 261/269 - Train Accuracy: 0.8291, Validation Accuracy: 0.8224, Loss: 0.3016
Epoch 7 Batch 262/269 - Train Accuracy: 0.8223, Validation Accuracy: 0.8233, Loss: 0.2910
Epoch 7 Batch 263/269 - Train Accuracy: 0.8023, Validation Accuracy: 0.8073, Loss: 0.2981
Epoch 7 Batch 264/269 - Train Accuracy: 0.7918, Validation Accuracy: 0.8168, Loss: 0.3034
Epoch 7 Batch 265/269 - Train Accuracy: 0.8207, Validation Accuracy: 0.8193, Loss: 0.2910
Epoch 7 Batch 266/269 - Train Accuracy: 0.8169, Validation Accuracy: 0.8182, Loss: 0.2849
Epoch 7 Batch 267/269 - Train Accuracy: 0.8025, Validation Accuracy: 0.8086, Loss: 0.3012
Epoch 8 Batch 1/269 - Train Accuracy: 0.8189, Validation Accuracy: 0.8142, Loss: 0.2917
Epoch 8 Batch 2/269 - Train Accuracy: 0.8133, Validation Accuracy: 0.8192, Loss: 0.2932
Epoch 8 Batch 3/269 - Train Accuracy: 0.8269, Validation Accuracy: 0.8203, Loss: 0.2866
Epoch 8 Batch 4/269 - Train Accuracy: 0.7921, Validation Accuracy: 0.8191, Loss: 0.3020
Epoch 8 Batch 5/269 - Train Accuracy: 0.7914, Validation Accuracy: 0.8177, Loss: 0.3006
Epoch 8 Batch 6/269 - Train Accuracy: 0.8317, Validation Accuracy: 0.8220, Loss: 0.2762
Epoch 8 Batch 7/269 - Train Accuracy: 0.8091, Validation Accuracy: 0.8090, Loss: 0.2823
Epoch 8 Batch 8/269 - Train Accuracy: 0.8256, Validation Accuracy: 0.8183, Loss: 0.3083
Epoch 8 Batch 9/269 - Train Accuracy: 0.8079, Validation Accuracy: 0.8162, Loss: 0.2935
Epoch 8 Batch 10/269 - Train Accuracy: 0.8205, Validation Accuracy: 0.8074, Loss: 0.2873
Epoch 8 Batch 11/269 - Train Accuracy: 0.8135, Validation Accuracy: 0.8169, Loss: 0.2959
Epoch 8 Batch 12/269 - Train Accuracy: 0.8184, Validation Accuracy: 0.8179, Loss: 0.3098
Epoch 8 Batch 13/269 - Train Accuracy: 0.8295, Validation Accuracy: 0.8170, Loss: 0.2617
Epoch 8 Batch 14/269 - Train Accuracy: 0.8105, Validation Accuracy: 0.8185, Loss: 0.2852
Epoch 8 Batch 15/269 - Train Accuracy: 0.8214, Validation Accuracy: 0.8147, Loss: 0.2754
Epoch 8 Batch 16/269 - Train Accuracy: 0.8131, Validation Accuracy: 0.8208, Loss: 0.2873
Epoch 8 Batch 17/269 - Train Accuracy: 0.8224, Validation Accuracy: 0.8227, Loss: 0.2714
Epoch 8 Batch 18/269 - Train Accuracy: 0.8082, Validation Accuracy: 0.8216, Loss: 0.2880
Epoch 8 Batch 19/269 - Train Accuracy: 0.8321, Validation Accuracy: 0.8215, Loss: 0.2680
Epoch 8 Batch 20/269 - Train Accuracy: 0.8307, Validation Accuracy: 0.8251, Loss: 0.2890
Epoch 8 Batch 21/269 - Train Accuracy: 0.8071, Validation Accuracy: 0.8167, Loss: 0.3112
Epoch 8 Batch 22/269 - Train Accuracy: 0.8381, Validation Accuracy: 0.8228, Loss: 0.2720
Epoch 8 Batch 23/269 - Train Accuracy: 0.8121, Validation Accuracy: 0.8219, Loss: 0.2841
Epoch 8 Batch 24/269 - Train Accuracy: 0.8077, Validation Accuracy: 0.8137, Loss: 0.2905
Epoch 8 Batch 25/269 - Train Accuracy: 0.8131, Validation Accuracy: 0.8152, Loss: 0.3042
Epoch 8 Batch 26/269 - Train Accuracy: 0.8308, Validation Accuracy: 0.8176, Loss: 0.2589
Epoch 8 Batch 27/269 - Train Accuracy: 0.8124, Validation Accuracy: 0.8188, Loss: 0.2793
Epoch 8 Batch 28/269 - Train Accuracy: 0.7750, Validation Accuracy: 0.8142, Loss: 0.2996
Epoch 8 Batch 29/269 - Train Accuracy: 0.8332, Validation Accuracy: 0.8261, Loss: 0.3014
Epoch 8 Batch 30/269 - Train Accuracy: 0.8205, Validation Accuracy: 0.8207, Loss: 0.2815
Epoch 8 Batch 31/269 - Train Accuracy: 0.8232, Validation Accuracy: 0.8125, Loss: 0.2723
Epoch 8 Batch 32/269 - Train Accuracy: 0.8182, Validation Accuracy: 0.8191, Loss: 0.2803
Epoch 8 Batch 33/269 - Train Accuracy: 0.8342, Validation Accuracy: 0.8161, Loss: 0.2669
Epoch 8 Batch 34/269 - Train Accuracy: 0.8283, Validation Accuracy: 0.8210, Loss: 0.2762
Epoch 8 Batch 35/269 - Train Accuracy: 0.8170, Validation Accuracy: 0.8225, Loss: 0.2868
Epoch 8 Batch 36/269 - Train Accuracy: 0.8075, Validation Accuracy: 0.8218, Loss: 0.2789
Epoch 8 Batch 37/269 - Train Accuracy: 0.8205, Validation Accuracy: 0.8154, Loss: 0.2847
Epoch 8 Batch 38/269 - Train Accuracy: 0.8247, Validation Accuracy: 0.8183, Loss: 0.2788
Epoch 8 Batch 39/269 - Train Accuracy: 0.8355, Validation Accuracy: 0.8236, Loss: 0.2828
Epoch 8 Batch 40/269 - Train Accuracy: 0.8164, Validation Accuracy: 0.8185, Loss: 0.2903
Epoch 8 Batch 41/269 - Train Accuracy: 0.8216, Validation Accuracy: 0.8207, Loss: 0.2846
Epoch 8 Batch 42/269 - Train Accuracy: 0.8417, Validation Accuracy: 0.8229, Loss: 0.2662
Epoch 8 Batch 43/269 - Train Accuracy: 0.8046, Validation Accuracy: 0.8161, Loss: 0.2918
Epoch 8 Batch 44/269 - Train Accuracy: 0.8187, Validation Accuracy: 0.8199, Loss: 0.2791
Epoch 8 Batch 45/269 - Train Accuracy: 0.8129, Validation Accuracy: 0.8207, Loss: 0.2964
Epoch 8 Batch 46/269 - Train Accuracy: 0.8123, Validation Accuracy: 0.8201, Loss: 0.2867
Epoch 8 Batch 47/269 - Train Accuracy: 0.8309, Validation Accuracy: 0.8256, Loss: 0.2546
Epoch 8 Batch 48/269 - Train Accuracy: 0.8307, Validation Accuracy: 0.8169, Loss: 0.2682
Epoch 8 Batch 49/269 - Train Accuracy: 0.8067, Validation Accuracy: 0.8139, Loss: 0.2785
Epoch 8 Batch 50/269 - Train Accuracy: 0.7880, Validation Accuracy: 0.8126, Loss: 0.2991
Epoch 8 Batch 51/269 - Train Accuracy: 0.8070, Validation Accuracy: 0.8132, Loss: 0.2907
Epoch 8 Batch 52/269 - Train Accuracy: 0.8227, Validation Accuracy: 0.8216, Loss: 0.2679
Epoch 8 Batch 53/269 - Train Accuracy: 0.8244, Validation Accuracy: 0.8105, Loss: 0.2932
Epoch 8 Batch 54/269 - Train Accuracy: 0.8111, Validation Accuracy: 0.8183, Loss: 0.2872
Epoch 8 Batch 55/269 - Train Accuracy: 0.8187, Validation Accuracy: 0.8130, Loss: 0.2699
Epoch 8 Batch 56/269 - Train Accuracy: 0.8101, Validation Accuracy: 0.8004, Loss: 0.2814
Epoch 8 Batch 57/269 - Train Accuracy: 0.8232, Validation Accuracy: 0.8140, Loss: 0.2993
Epoch 8 Batch 58/269 - Train Accuracy: 0.8177, Validation Accuracy: 0.8140, Loss: 0.2750
Epoch 8 Batch 59/269 - Train Accuracy: 0.8305, Validation Accuracy: 0.8118, Loss: 0.2586
Epoch 8 Batch 60/269 - Train Accuracy: 0.8256, Validation Accuracy: 0.8164, Loss: 0.2707
Epoch 8 Batch 61/269 - Train Accuracy: 0.8293, Validation Accuracy: 0.8148, Loss: 0.2552
Epoch 8 Batch 62/269 - Train Accuracy: 0.8344, Validation Accuracy: 0.8266, Loss: 0.2652
Epoch 8 Batch 63/269 - Train Accuracy: 0.8199, Validation Accuracy: 0.8288, Loss: 0.2802
Epoch 8 Batch 64/269 - Train Accuracy: 0.8217, Validation Accuracy: 0.8269, Loss: 0.2656
Epoch 8 Batch 65/269 - Train Accuracy: 0.8177, Validation Accuracy: 0.8262, Loss: 0.2755
Epoch 8 Batch 66/269 - Train Accuracy: 0.8282, Validation Accuracy: 0.8252, Loss: 0.2709
Epoch 8 Batch 67/269 - Train Accuracy: 0.8243, Validation Accuracy: 0.8175, Loss: 0.2805
Epoch 8 Batch 68/269 - Train Accuracy: 0.8192, Validation Accuracy: 0.8188, Loss: 0.2814
Epoch 8 Batch 69/269 - Train Accuracy: 0.7886, Validation Accuracy: 0.8251, Loss: 0.3069
Epoch 8 Batch 70/269 - Train Accuracy: 0.8383, Validation Accuracy: 0.8272, Loss: 0.2810
Epoch 8 Batch 71/269 - Train Accuracy: 0.8109, Validation Accuracy: 0.8101, Loss: 0.2893
Epoch 8 Batch 72/269 - Train Accuracy: 0.8287, Validation Accuracy: 0.8097, Loss: 0.2763
Epoch 8 Batch 73/269 - Train Accuracy: 0.8085, Validation Accuracy: 0.8221, Loss: 0.2964
Epoch 8 Batch 74/269 - Train Accuracy: 0.8231, Validation Accuracy: 0.8208, Loss: 0.2725
Epoch 8 Batch 75/269 - Train Accuracy: 0.8251, Validation Accuracy: 0.8149, Loss: 0.2812
Epoch 8 Batch 76/269 - Train Accuracy: 0.8160, Validation Accuracy: 0.8162, Loss: 0.2757
Epoch 8 Batch 77/269 - Train Accuracy: 0.8269, Validation Accuracy: 0.8259, Loss: 0.2700
Epoch 8 Batch 78/269 - Train Accuracy: 0.8371, Validation Accuracy: 0.8227, Loss: 0.2670
Epoch 8 Batch 79/269 - Train Accuracy: 0.8132, Validation Accuracy: 0.8198, Loss: 0.2726
Epoch 8 Batch 80/269 - Train Accuracy: 0.8309, Validation Accuracy: 0.8237, Loss: 0.2642
Epoch 8 Batch 81/269 - Train Accuracy: 0.8150, Validation Accuracy: 0.8234, Loss: 0.2828
Epoch 8 Batch 82/269 - Train Accuracy: 0.8386, Validation Accuracy: 0.8161, Loss: 0.2645
Epoch 8 Batch 83/269 - Train Accuracy: 0.8048, Validation Accuracy: 0.8131, Loss: 0.2827
Epoch 8 Batch 84/269 - Train Accuracy: 0.8371, Validation Accuracy: 0.8214, Loss: 0.2681
Epoch 8 Batch 85/269 - Train Accuracy: 0.8309, Validation Accuracy: 0.8237, Loss: 0.2659
Epoch 8 Batch 86/269 - Train Accuracy: 0.8314, Validation Accuracy: 0.8237, Loss: 0.2797
Epoch 8 Batch 87/269 - Train Accuracy: 0.8104, Validation Accuracy: 0.8230, Loss: 0.2955
Epoch 8 Batch 88/269 - Train Accuracy: 0.8140, Validation Accuracy: 0.8151, Loss: 0.2786
Epoch 8 Batch 89/269 - Train Accuracy: 0.8224, Validation Accuracy: 0.8208, Loss: 0.2761
Epoch 8 Batch 90/269 - Train Accuracy: 0.8048, Validation Accuracy: 0.8180, Loss: 0.2876
Epoch 8 Batch 91/269 - Train Accuracy: 0.8297, Validation Accuracy: 0.8006, Loss: 0.2678
Epoch 8 Batch 92/269 - Train Accuracy: 0.8367, Validation Accuracy: 0.8218, Loss: 0.2725
Epoch 8 Batch 93/269 - Train Accuracy: 0.8294, Validation Accuracy: 0.8162, Loss: 0.2619
Epoch 8 Batch 94/269 - Train Accuracy: 0.8060, Validation Accuracy: 0.8123, Loss: 0.2954
Epoch 8 Batch 95/269 - Train Accuracy: 0.8211, Validation Accuracy: 0.8146, Loss: 0.2740
Epoch 8 Batch 96/269 - Train Accuracy: 0.8192, Validation Accuracy: 0.8190, Loss: 0.2676
Epoch 8 Batch 97/269 - Train Accuracy: 0.8350, Validation Accuracy: 0.8251, Loss: 0.2768
Epoch 8 Batch 98/269 - Train Accuracy: 0.8220, Validation Accuracy: 0.8233, Loss: 0.2744
Epoch 8 Batch 99/269 - Train Accuracy: 0.8110, Validation Accuracy: 0.8142, Loss: 0.2795
Epoch 8 Batch 100/269 - Train Accuracy: 0.8373, Validation Accuracy: 0.8202, Loss: 0.2693
Epoch 8 Batch 101/269 - Train Accuracy: 0.8042, Validation Accuracy: 0.8184, Loss: 0.2946
Epoch 8 Batch 102/269 - Train Accuracy: 0.8207, Validation Accuracy: 0.8236, Loss: 0.2706
Epoch 8 Batch 103/269 - Train Accuracy: 0.8351, Validation Accuracy: 0.8240, Loss: 0.2784
Epoch 8 Batch 104/269 - Train Accuracy: 0.8082, Validation Accuracy: 0.8239, Loss: 0.2644
Epoch 8 Batch 105/269 - Train Accuracy: 0.8355, Validation Accuracy: 0.8303, Loss: 0.2654
Epoch 8 Batch 106/269 - Train Accuracy: 0.8266, Validation Accuracy: 0.8217, Loss: 0.2610
Epoch 8 Batch 107/269 - Train Accuracy: 0.8237, Validation Accuracy: 0.8220, Loss: 0.2802
Epoch 8 Batch 108/269 - Train Accuracy: 0.8306, Validation Accuracy: 0.8228, Loss: 0.2636
Epoch 8 Batch 109/269 - Train Accuracy: 0.8018, Validation Accuracy: 0.8236, Loss: 0.2762
Epoch 8 Batch 110/269 - Train Accuracy: 0.8233, Validation Accuracy: 0.8131, Loss: 0.2656
Epoch 8 Batch 111/269 - Train Accuracy: 0.8214, Validation Accuracy: 0.8177, Loss: 0.3006
Epoch 8 Batch 112/269 - Train Accuracy: 0.8100, Validation Accuracy: 0.8247, Loss: 0.2687
Epoch 8 Batch 113/269 - Train Accuracy: 0.8210, Validation Accuracy: 0.8207, Loss: 0.2641
Epoch 8 Batch 114/269 - Train Accuracy: 0.8265, Validation Accuracy: 0.8182, Loss: 0.2672
Epoch 8 Batch 115/269 - Train Accuracy: 0.8004, Validation Accuracy: 0.8244, Loss: 0.2777
Epoch 8 Batch 116/269 - Train Accuracy: 0.8365, Validation Accuracy: 0.8259, Loss: 0.2806
Epoch 8 Batch 117/269 - Train Accuracy: 0.8062, Validation Accuracy: 0.8215, Loss: 0.2667
Epoch 8 Batch 118/269 - Train Accuracy: 0.8290, Validation Accuracy: 0.8208, Loss: 0.2508
Epoch 8 Batch 119/269 - Train Accuracy: 0.8173, Validation Accuracy: 0.8312, Loss: 0.2890
Epoch 8 Batch 120/269 - Train Accuracy: 0.8183, Validation Accuracy: 0.8270, Loss: 0.2728
Epoch 8 Batch 121/269 - Train Accuracy: 0.8212, Validation Accuracy: 0.8191, Loss: 0.2584
Epoch 8 Batch 122/269 - Train Accuracy: 0.8170, Validation Accuracy: 0.8208, Loss: 0.2637
Epoch 8 Batch 123/269 - Train Accuracy: 0.8293, Validation Accuracy: 0.8177, Loss: 0.2733
Epoch 8 Batch 124/269 - Train Accuracy: 0.8151, Validation Accuracy: 0.8177, Loss: 0.2532
Epoch 8 Batch 125/269 - Train Accuracy: 0.8318, Validation Accuracy: 0.8194, Loss: 0.2523
Epoch 8 Batch 126/269 - Train Accuracy: 0.8199, Validation Accuracy: 0.8200, Loss: 0.2623
Epoch 8 Batch 127/269 - Train Accuracy: 0.8150, Validation Accuracy: 0.8194, Loss: 0.2832
Epoch 8 Batch 128/269 - Train Accuracy: 0.8179, Validation Accuracy: 0.8138, Loss: 0.2628
Epoch 8 Batch 129/269 - Train Accuracy: 0.8296, Validation Accuracy: 0.8246, Loss: 0.2694
Epoch 8 Batch 130/269 - Train Accuracy: 0.8359, Validation Accuracy: 0.8263, Loss: 0.2747
Epoch 8 Batch 131/269 - Train Accuracy: 0.8104, Validation Accuracy: 0.8289, Loss: 0.2691
Epoch 8 Batch 132/269 - Train Accuracy: 0.8075, Validation Accuracy: 0.8262, Loss: 0.2736
Epoch 8 Batch 133/269 - Train Accuracy: 0.8382, Validation Accuracy: 0.8263, Loss: 0.2561
Epoch 8 Batch 134/269 - Train Accuracy: 0.8153, Validation Accuracy: 0.8346, Loss: 0.2735
Epoch 8 Batch 135/269 - Train Accuracy: 0.8086, Validation Accuracy: 0.8287, Loss: 0.2837
Epoch 8 Batch 136/269 - Train Accuracy: 0.8110, Validation Accuracy: 0.8325, Loss: 0.2869
Epoch 8 Batch 137/269 - Train Accuracy: 0.8113, Validation Accuracy: 0.8254, Loss: 0.2787
Epoch 8 Batch 138/269 - Train Accuracy: 0.8354, Validation Accuracy: 0.8207, Loss: 0.2633
Epoch 8 Batch 139/269 - Train Accuracy: 0.8239, Validation Accuracy: 0.8244, Loss: 0.2534
Epoch 8 Batch 140/269 - Train Accuracy: 0.8384, Validation Accuracy: 0.8273, Loss: 0.2664
Epoch 8 Batch 141/269 - Train Accuracy: 0.8199, Validation Accuracy: 0.8250, Loss: 0.2739
Epoch 8 Batch 142/269 - Train Accuracy: 0.8305, Validation Accuracy: 0.8281, Loss: 0.2534
Epoch 8 Batch 143/269 - Train Accuracy: 0.8291, Validation Accuracy: 0.8170, Loss: 0.2589
Epoch 8 Batch 144/269 - Train Accuracy: 0.8306, Validation Accuracy: 0.8229, Loss: 0.2492
Epoch 8 Batch 145/269 - Train Accuracy: 0.8236, Validation Accuracy: 0.8300, Loss: 0.2560
Epoch 8 Batch 146/269 - Train Accuracy: 0.8337, Validation Accuracy: 0.8206, Loss: 0.2557
Epoch 8 Batch 147/269 - Train Accuracy: 0.8370, Validation Accuracy: 0.8327, Loss: 0.2536
Epoch 8 Batch 148/269 - Train Accuracy: 0.8198, Validation Accuracy: 0.8260, Loss: 0.2702
Epoch 8 Batch 149/269 - Train Accuracy: 0.7985, Validation Accuracy: 0.8173, Loss: 0.2689
Epoch 8 Batch 150/269 - Train Accuracy: 0.8210, Validation Accuracy: 0.8271, Loss: 0.2653
Epoch 8 Batch 151/269 - Train Accuracy: 0.8295, Validation Accuracy: 0.8240, Loss: 0.2518
Epoch 8 Batch 152/269 - Train Accuracy: 0.8245, Validation Accuracy: 0.8190, Loss: 0.2679
Epoch 8 Batch 153/269 - Train Accuracy: 0.8323, Validation Accuracy: 0.8272, Loss: 0.2641
Epoch 8 Batch 154/269 - Train Accuracy: 0.8380, Validation Accuracy: 0.8288, Loss: 0.2650
Epoch 8 Batch 155/269 - Train Accuracy: 0.8382, Validation Accuracy: 0.8234, Loss: 0.2458
Epoch 8 Batch 156/269 - Train Accuracy: 0.8073, Validation Accuracy: 0.8239, Loss: 0.2669
Epoch 8 Batch 157/269 - Train Accuracy: 0.8222, Validation Accuracy: 0.8258, Loss: 0.2594
Epoch 8 Batch 158/269 - Train Accuracy: 0.8240, Validation Accuracy: 0.8254, Loss: 0.2573
Epoch 8 Batch 159/269 - Train Accuracy: 0.8105, Validation Accuracy: 0.8325, Loss: 0.2664
Epoch 8 Batch 160/269 - Train Accuracy: 0.8303, Validation Accuracy: 0.8231, Loss: 0.2611
Epoch 8 Batch 161/269 - Train Accuracy: 0.8215, Validation Accuracy: 0.8190, Loss: 0.2585
Epoch 8 Batch 162/269 - Train Accuracy: 0.8365, Validation Accuracy: 0.8326, Loss: 0.2540
Epoch 8 Batch 163/269 - Train Accuracy: 0.8484, Validation Accuracy: 0.8320, Loss: 0.2572
Epoch 8 Batch 164/269 - Train Accuracy: 0.8382, Validation Accuracy: 0.8199, Loss: 0.2523
Epoch 8 Batch 165/269 - Train Accuracy: 0.8361, Validation Accuracy: 0.8254, Loss: 0.2583
Epoch 8 Batch 166/269 - Train Accuracy: 0.8431, Validation Accuracy: 0.8326, Loss: 0.2434
Epoch 8 Batch 167/269 - Train Accuracy: 0.8323, Validation Accuracy: 0.8236, Loss: 0.2647
Epoch 8 Batch 168/269 - Train Accuracy: 0.8312, Validation Accuracy: 0.8307, Loss: 0.2782
Epoch 8 Batch 169/269 - Train Accuracy: 0.8198, Validation Accuracy: 0.8295, Loss: 0.2599
Epoch 8 Batch 170/269 - Train Accuracy: 0.8314, Validation Accuracy: 0.8276, Loss: 0.2550
Epoch 8 Batch 171/269 - Train Accuracy: 0.8391, Validation Accuracy: 0.8291, Loss: 0.2664
Epoch 8 Batch 172/269 - Train Accuracy: 0.8132, Validation Accuracy: 0.8299, Loss: 0.2715
Epoch 8 Batch 173/269 - Train Accuracy: 0.8389, Validation Accuracy: 0.8239, Loss: 0.2549
Epoch 8 Batch 174/269 - Train Accuracy: 0.8322, Validation Accuracy: 0.8313, Loss: 0.2594
Epoch 8 Batch 175/269 - Train Accuracy: 0.8218, Validation Accuracy: 0.8236, Loss: 0.2785
Epoch 8 Batch 176/269 - Train Accuracy: 0.8241, Validation Accuracy: 0.8331, Loss: 0.2722
Epoch 8 Batch 177/269 - Train Accuracy: 0.8271, Validation Accuracy: 0.8294, Loss: 0.2500
Epoch 8 Batch 178/269 - Train Accuracy: 0.8435, Validation Accuracy: 0.8192, Loss: 0.2620
Epoch 8 Batch 179/269 - Train Accuracy: 0.8290, Validation Accuracy: 0.8256, Loss: 0.2547
Epoch 8 Batch 180/269 - Train Accuracy: 0.8504, Validation Accuracy: 0.8279, Loss: 0.2474
Epoch 8 Batch 181/269 - Train Accuracy: 0.8203, Validation Accuracy: 0.8317, Loss: 0.2542
Epoch 8 Batch 182/269 - Train Accuracy: 0.8315, Validation Accuracy: 0.8233, Loss: 0.2571
Epoch 8 Batch 183/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8246, Loss: 0.2225
Epoch 8 Batch 184/269 - Train Accuracy: 0.8219, Validation Accuracy: 0.8280, Loss: 0.2558
Epoch 8 Batch 185/269 - Train Accuracy: 0.8519, Validation Accuracy: 0.8298, Loss: 0.2419
Epoch 8 Batch 186/269 - Train Accuracy: 0.8324, Validation Accuracy: 0.8201, Loss: 0.2556
Epoch 8 Batch 187/269 - Train Accuracy: 0.8279, Validation Accuracy: 0.8259, Loss: 0.2510
Epoch 8 Batch 188/269 - Train Accuracy: 0.8448, Validation Accuracy: 0.8308, Loss: 0.2441
Epoch 8 Batch 189/269 - Train Accuracy: 0.8370, Validation Accuracy: 0.8331, Loss: 0.2422
Epoch 8 Batch 190/269 - Train Accuracy: 0.8264, Validation Accuracy: 0.8279, Loss: 0.2384
Epoch 8 Batch 191/269 - Train Accuracy: 0.8182, Validation Accuracy: 0.8280, Loss: 0.2475
Epoch 8 Batch 192/269 - Train Accuracy: 0.8365, Validation Accuracy: 0.8301, Loss: 0.2540
Epoch 8 Batch 193/269 - Train Accuracy: 0.8490, Validation Accuracy: 0.8268, Loss: 0.2484
Epoch 8 Batch 194/269 - Train Accuracy: 0.8230, Validation Accuracy: 0.8251, Loss: 0.2581
Epoch 8 Batch 195/269 - Train Accuracy: 0.8400, Validation Accuracy: 0.8315, Loss: 0.2558
Epoch 8 Batch 196/269 - Train Accuracy: 0.8234, Validation Accuracy: 0.8350, Loss: 0.2456
Epoch 8 Batch 197/269 - Train Accuracy: 0.8303, Validation Accuracy: 0.8302, Loss: 0.2655
Epoch 8 Batch 198/269 - Train Accuracy: 0.8152, Validation Accuracy: 0.8313, Loss: 0.2689
Epoch 8 Batch 199/269 - Train Accuracy: 0.8292, Validation Accuracy: 0.8318, Loss: 0.2559
Epoch 8 Batch 200/269 - Train Accuracy: 0.8320, Validation Accuracy: 0.8361, Loss: 0.2627
Epoch 8 Batch 201/269 - Train Accuracy: 0.8401, Validation Accuracy: 0.8311, Loss: 0.2497
Epoch 8 Batch 202/269 - Train Accuracy: 0.8211, Validation Accuracy: 0.8271, Loss: 0.2509
Epoch 8 Batch 203/269 - Train Accuracy: 0.8332, Validation Accuracy: 0.8360, Loss: 0.2784
Epoch 8 Batch 204/269 - Train Accuracy: 0.8256, Validation Accuracy: 0.8346, Loss: 0.2698
Epoch 8 Batch 205/269 - Train Accuracy: 0.8305, Validation Accuracy: 0.8394, Loss: 0.2539
Epoch 8 Batch 206/269 - Train Accuracy: 0.8157, Validation Accuracy: 0.8332, Loss: 0.2693
Epoch 8 Batch 207/269 - Train Accuracy: 0.8181, Validation Accuracy: 0.8257, Loss: 0.2516
Epoch 8 Batch 208/269 - Train Accuracy: 0.8335, Validation Accuracy: 0.8305, Loss: 0.2585
Epoch 8 Batch 209/269 - Train Accuracy: 0.8411, Validation Accuracy: 0.8157, Loss: 0.2403
Epoch 8 Batch 210/269 - Train Accuracy: 0.8341, Validation Accuracy: 0.8311, Loss: 0.2588
Epoch 8 Batch 211/269 - Train Accuracy: 0.8293, Validation Accuracy: 0.8276, Loss: 0.2561
Epoch 8 Batch 212/269 - Train Accuracy: 0.8343, Validation Accuracy: 0.8310, Loss: 0.2492
Epoch 8 Batch 213/269 - Train Accuracy: 0.8399, Validation Accuracy: 0.8298, Loss: 0.2505
Epoch 8 Batch 214/269 - Train Accuracy: 0.8211, Validation Accuracy: 0.8283, Loss: 0.2621
Epoch 8 Batch 215/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8318, Loss: 0.2332
Epoch 8 Batch 216/269 - Train Accuracy: 0.8174, Validation Accuracy: 0.8320, Loss: 0.2792
Epoch 8 Batch 217/269 - Train Accuracy: 0.8267, Validation Accuracy: 0.8285, Loss: 0.2589
Epoch 8 Batch 218/269 - Train Accuracy: 0.8509, Validation Accuracy: 0.8335, Loss: 0.2571
Epoch 8 Batch 219/269 - Train Accuracy: 0.8303, Validation Accuracy: 0.8349, Loss: 0.2709
Epoch 8 Batch 220/269 - Train Accuracy: 0.8617, Validation Accuracy: 0.8369, Loss: 0.2345
Epoch 8 Batch 221/269 - Train Accuracy: 0.8557, Validation Accuracy: 0.8410, Loss: 0.2505
Epoch 8 Batch 222/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8357, Loss: 0.2369
Epoch 8 Batch 223/269 - Train Accuracy: 0.8390, Validation Accuracy: 0.8374, Loss: 0.2427
Epoch 8 Batch 224/269 - Train Accuracy: 0.8403, Validation Accuracy: 0.8380, Loss: 0.2706
Epoch 8 Batch 225/269 - Train Accuracy: 0.8319, Validation Accuracy: 0.8292, Loss: 0.2470
Epoch 8 Batch 226/269 - Train Accuracy: 0.8477, Validation Accuracy: 0.8303, Loss: 0.2489
Epoch 8 Batch 227/269 - Train Accuracy: 0.8551, Validation Accuracy: 0.8357, Loss: 0.2365
Epoch 8 Batch 228/269 - Train Accuracy: 0.8321, Validation Accuracy: 0.8291, Loss: 0.2520
Epoch 8 Batch 229/269 - Train Accuracy: 0.8317, Validation Accuracy: 0.8305, Loss: 0.2418
Epoch 8 Batch 230/269 - Train Accuracy: 0.8344, Validation Accuracy: 0.8331, Loss: 0.2452
Epoch 8 Batch 231/269 - Train Accuracy: 0.8214, Validation Accuracy: 0.8326, Loss: 0.2612
Epoch 8 Batch 232/269 - Train Accuracy: 0.8279, Validation Accuracy: 0.8333, Loss: 0.2513
Epoch 8 Batch 233/269 - Train Accuracy: 0.8467, Validation Accuracy: 0.8367, Loss: 0.2512
Epoch 8 Batch 234/269 - Train Accuracy: 0.8407, Validation Accuracy: 0.8327, Loss: 0.2475
Epoch 8 Batch 235/269 - Train Accuracy: 0.8438, Validation Accuracy: 0.8342, Loss: 0.2367
Epoch 8 Batch 236/269 - Train Accuracy: 0.8223, Validation Accuracy: 0.8425, Loss: 0.2407
Epoch 8 Batch 237/269 - Train Accuracy: 0.8357, Validation Accuracy: 0.8388, Loss: 0.2461
Epoch 8 Batch 238/269 - Train Accuracy: 0.8453, Validation Accuracy: 0.8253, Loss: 0.2485
Epoch 8 Batch 239/269 - Train Accuracy: 0.8330, Validation Accuracy: 0.8361, Loss: 0.2430
Epoch 8 Batch 240/269 - Train Accuracy: 0.8624, Validation Accuracy: 0.8311, Loss: 0.2228
Epoch 8 Batch 241/269 - Train Accuracy: 0.8452, Validation Accuracy: 0.8310, Loss: 0.2595
Epoch 8 Batch 242/269 - Train Accuracy: 0.8364, Validation Accuracy: 0.8303, Loss: 0.2381
Epoch 8 Batch 243/269 - Train Accuracy: 0.8418, Validation Accuracy: 0.8382, Loss: 0.2360
Epoch 8 Batch 244/269 - Train Accuracy: 0.8358, Validation Accuracy: 0.8336, Loss: 0.2407
Epoch 8 Batch 245/269 - Train Accuracy: 0.8236, Validation Accuracy: 0.8380, Loss: 0.2690
Epoch 8 Batch 246/269 - Train Accuracy: 0.8162, Validation Accuracy: 0.8240, Loss: 0.2459
Epoch 8 Batch 247/269 - Train Accuracy: 0.8334, Validation Accuracy: 0.8276, Loss: 0.2521
Epoch 8 Batch 248/269 - Train Accuracy: 0.8467, Validation Accuracy: 0.8340, Loss: 0.2374
Epoch 8 Batch 249/269 - Train Accuracy: 0.8556, Validation Accuracy: 0.8400, Loss: 0.2327
Epoch 8 Batch 250/269 - Train Accuracy: 0.8241, Validation Accuracy: 0.8265, Loss: 0.2423
Epoch 8 Batch 251/269 - Train Accuracy: 0.8625, Validation Accuracy: 0.8351, Loss: 0.2378
Epoch 8 Batch 252/269 - Train Accuracy: 0.8340, Validation Accuracy: 0.8399, Loss: 0.2464
Epoch 8 Batch 253/269 - Train Accuracy: 0.8214, Validation Accuracy: 0.8262, Loss: 0.2596
Epoch 8 Batch 254/269 - Train Accuracy: 0.8364, Validation Accuracy: 0.8383, Loss: 0.2414
Epoch 8 Batch 255/269 - Train Accuracy: 0.8446, Validation Accuracy: 0.8381, Loss: 0.2388
Epoch 8 Batch 256/269 - Train Accuracy: 0.8146, Validation Accuracy: 0.8263, Loss: 0.2486
Epoch 8 Batch 257/269 - Train Accuracy: 0.8182, Validation Accuracy: 0.8402, Loss: 0.2568
Epoch 8 Batch 258/269 - Train Accuracy: 0.8380, Validation Accuracy: 0.8397, Loss: 0.2493
Epoch 8 Batch 259/269 - Train Accuracy: 0.8440, Validation Accuracy: 0.8381, Loss: 0.2417
Epoch 8 Batch 260/269 - Train Accuracy: 0.8136, Validation Accuracy: 0.8427, Loss: 0.2670
Epoch 8 Batch 261/269 - Train Accuracy: 0.8415, Validation Accuracy: 0.8366, Loss: 0.2590
Epoch 8 Batch 262/269 - Train Accuracy: 0.8458, Validation Accuracy: 0.8354, Loss: 0.2492
Epoch 8 Batch 263/269 - Train Accuracy: 0.8376, Validation Accuracy: 0.8365, Loss: 0.2482
Epoch 8 Batch 264/269 - Train Accuracy: 0.8152, Validation Accuracy: 0.8370, Loss: 0.2616
Epoch 8 Batch 265/269 - Train Accuracy: 0.8379, Validation Accuracy: 0.8340, Loss: 0.2427
Epoch 8 Batch 266/269 - Train Accuracy: 0.8417, Validation Accuracy: 0.8330, Loss: 0.2278
Epoch 8 Batch 267/269 - Train Accuracy: 0.8424, Validation Accuracy: 0.8309, Loss: 0.2489
Epoch 9 Batch 1/269 - Train Accuracy: 0.8456, Validation Accuracy: 0.8364, Loss: 0.2459
Epoch 9 Batch 2/269 - Train Accuracy: 0.8381, Validation Accuracy: 0.8321, Loss: 0.2442
Epoch 9 Batch 3/269 - Train Accuracy: 0.8363, Validation Accuracy: 0.8281, Loss: 0.2427
Epoch 9 Batch 4/269 - Train Accuracy: 0.8318, Validation Accuracy: 0.8413, Loss: 0.2480
Epoch 9 Batch 5/269 - Train Accuracy: 0.8306, Validation Accuracy: 0.8395, Loss: 0.2453
Epoch 9 Batch 6/269 - Train Accuracy: 0.8431, Validation Accuracy: 0.8265, Loss: 0.2352
Epoch 9 Batch 7/269 - Train Accuracy: 0.8381, Validation Accuracy: 0.8303, Loss: 0.2357
Epoch 9 Batch 8/269 - Train Accuracy: 0.8296, Validation Accuracy: 0.8350, Loss: 0.2447
Epoch 9 Batch 9/269 - Train Accuracy: 0.8326, Validation Accuracy: 0.8292, Loss: 0.2585
Epoch 9 Batch 10/269 - Train Accuracy: 0.8351, Validation Accuracy: 0.8207, Loss: 0.2415
Epoch 9 Batch 11/269 - Train Accuracy: 0.8340, Validation Accuracy: 0.8324, Loss: 0.2576
Epoch 9 Batch 12/269 - Train Accuracy: 0.8388, Validation Accuracy: 0.8362, Loss: 0.2577
Epoch 9 Batch 13/269 - Train Accuracy: 0.8426, Validation Accuracy: 0.8347, Loss: 0.2170
Epoch 9 Batch 14/269 - Train Accuracy: 0.8251, Validation Accuracy: 0.8396, Loss: 0.2436
Epoch 9 Batch 15/269 - Train Accuracy: 0.8462, Validation Accuracy: 0.8424, Loss: 0.2322
Epoch 9 Batch 16/269 - Train Accuracy: 0.8338, Validation Accuracy: 0.8395, Loss: 0.2436
Epoch 9 Batch 17/269 - Train Accuracy: 0.8378, Validation Accuracy: 0.8338, Loss: 0.2331
Epoch 9 Batch 18/269 - Train Accuracy: 0.8280, Validation Accuracy: 0.8416, Loss: 0.2436
Epoch 9 Batch 19/269 - Train Accuracy: 0.8414, Validation Accuracy: 0.8428, Loss: 0.2258
Epoch 9 Batch 20/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8423, Loss: 0.2493
Epoch 9 Batch 21/269 - Train Accuracy: 0.8399, Validation Accuracy: 0.8339, Loss: 0.2620
Epoch 9 Batch 22/269 - Train Accuracy: 0.8504, Validation Accuracy: 0.8383, Loss: 0.2400
Epoch 9 Batch 23/269 - Train Accuracy: 0.8219, Validation Accuracy: 0.8322, Loss: 0.2474
Epoch 9 Batch 24/269 - Train Accuracy: 0.8416, Validation Accuracy: 0.8297, Loss: 0.2424
Epoch 9 Batch 25/269 - Train Accuracy: 0.8410, Validation Accuracy: 0.8349, Loss: 0.2596
Epoch 9 Batch 26/269 - Train Accuracy: 0.8431, Validation Accuracy: 0.8319, Loss: 0.2185
Epoch 9 Batch 27/269 - Train Accuracy: 0.8326, Validation Accuracy: 0.8351, Loss: 0.2372
Epoch 9 Batch 28/269 - Train Accuracy: 0.8040, Validation Accuracy: 0.8369, Loss: 0.2613
Epoch 9 Batch 29/269 - Train Accuracy: 0.8535, Validation Accuracy: 0.8379, Loss: 0.2518
Epoch 9 Batch 30/269 - Train Accuracy: 0.8406, Validation Accuracy: 0.8286, Loss: 0.2349
Epoch 9 Batch 31/269 - Train Accuracy: 0.8499, Validation Accuracy: 0.8369, Loss: 0.2363
Epoch 9 Batch 32/269 - Train Accuracy: 0.8315, Validation Accuracy: 0.8311, Loss: 0.2318
Epoch 9 Batch 33/269 - Train Accuracy: 0.8404, Validation Accuracy: 0.8295, Loss: 0.2217
Epoch 9 Batch 34/269 - Train Accuracy: 0.8519, Validation Accuracy: 0.8392, Loss: 0.2426
Epoch 9 Batch 35/269 - Train Accuracy: 0.8351, Validation Accuracy: 0.8277, Loss: 0.2499
Epoch 9 Batch 36/269 - Train Accuracy: 0.8116, Validation Accuracy: 0.8347, Loss: 0.2475
Epoch 9 Batch 37/269 - Train Accuracy: 0.8470, Validation Accuracy: 0.8379, Loss: 0.2444
Epoch 9 Batch 38/269 - Train Accuracy: 0.8293, Validation Accuracy: 0.8310, Loss: 0.2389
Epoch 9 Batch 39/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8419, Loss: 0.2390
Epoch 9 Batch 40/269 - Train Accuracy: 0.8255, Validation Accuracy: 0.8353, Loss: 0.2498
Epoch 9 Batch 41/269 - Train Accuracy: 0.8289, Validation Accuracy: 0.8276, Loss: 0.2354
Epoch 9 Batch 42/269 - Train Accuracy: 0.8666, Validation Accuracy: 0.8383, Loss: 0.2297
Epoch 9 Batch 43/269 - Train Accuracy: 0.8139, Validation Accuracy: 0.8327, Loss: 0.2455
Epoch 9 Batch 44/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8388, Loss: 0.2392
Epoch 9 Batch 45/269 - Train Accuracy: 0.8406, Validation Accuracy: 0.8290, Loss: 0.2438
Epoch 9 Batch 46/269 - Train Accuracy: 0.8355, Validation Accuracy: 0.8329, Loss: 0.2417
Epoch 9 Batch 47/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8358, Loss: 0.2159
Epoch 9 Batch 48/269 - Train Accuracy: 0.8557, Validation Accuracy: 0.8345, Loss: 0.2305
Epoch 9 Batch 49/269 - Train Accuracy: 0.8308, Validation Accuracy: 0.8432, Loss: 0.2374
Epoch 9 Batch 50/269 - Train Accuracy: 0.8169, Validation Accuracy: 0.8449, Loss: 0.2487
Epoch 9 Batch 51/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8335, Loss: 0.2484
Epoch 9 Batch 52/269 - Train Accuracy: 0.8356, Validation Accuracy: 0.8386, Loss: 0.2187
Epoch 9 Batch 53/269 - Train Accuracy: 0.8407, Validation Accuracy: 0.8476, Loss: 0.2513
Epoch 9 Batch 54/269 - Train Accuracy: 0.8345, Validation Accuracy: 0.8399, Loss: 0.2380
Epoch 9 Batch 55/269 - Train Accuracy: 0.8383, Validation Accuracy: 0.8329, Loss: 0.2341
Epoch 9 Batch 56/269 - Train Accuracy: 0.8287, Validation Accuracy: 0.8301, Loss: 0.2439
Epoch 9 Batch 57/269 - Train Accuracy: 0.8456, Validation Accuracy: 0.8327, Loss: 0.2483
Epoch 9 Batch 58/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8326, Loss: 0.2306
Epoch 9 Batch 59/269 - Train Accuracy: 0.8468, Validation Accuracy: 0.8383, Loss: 0.2143
Epoch 9 Batch 60/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8403, Loss: 0.2246
Epoch 9 Batch 61/269 - Train Accuracy: 0.8635, Validation Accuracy: 0.8405, Loss: 0.2119
Epoch 9 Batch 62/269 - Train Accuracy: 0.8454, Validation Accuracy: 0.8318, Loss: 0.2275
Epoch 9 Batch 63/269 - Train Accuracy: 0.8324, Validation Accuracy: 0.8368, Loss: 0.2389
Epoch 9 Batch 64/269 - Train Accuracy: 0.8416, Validation Accuracy: 0.8374, Loss: 0.2258
Epoch 9 Batch 65/269 - Train Accuracy: 0.8377, Validation Accuracy: 0.8335, Loss: 0.2310
Epoch 9 Batch 66/269 - Train Accuracy: 0.8410, Validation Accuracy: 0.8429, Loss: 0.2288
Epoch 9 Batch 67/269 - Train Accuracy: 0.8494, Validation Accuracy: 0.8365, Loss: 0.2419
Epoch 9 Batch 68/269 - Train Accuracy: 0.8286, Validation Accuracy: 0.8374, Loss: 0.2392
Epoch 9 Batch 69/269 - Train Accuracy: 0.8142, Validation Accuracy: 0.8414, Loss: 0.2642
Epoch 9 Batch 70/269 - Train Accuracy: 0.8554, Validation Accuracy: 0.8430, Loss: 0.2371
Epoch 9 Batch 71/269 - Train Accuracy: 0.8330, Validation Accuracy: 0.8378, Loss: 0.2448
Epoch 9 Batch 72/269 - Train Accuracy: 0.8490, Validation Accuracy: 0.8383, Loss: 0.2335
Epoch 9 Batch 73/269 - Train Accuracy: 0.8357, Validation Accuracy: 0.8431, Loss: 0.2510
Epoch 9 Batch 74/269 - Train Accuracy: 0.8398, Validation Accuracy: 0.8382, Loss: 0.2281
Epoch 9 Batch 75/269 - Train Accuracy: 0.8406, Validation Accuracy: 0.8408, Loss: 0.2345
Epoch 9 Batch 76/269 - Train Accuracy: 0.8362, Validation Accuracy: 0.8390, Loss: 0.2331
Epoch 9 Batch 77/269 - Train Accuracy: 0.8456, Validation Accuracy: 0.8317, Loss: 0.2238
Epoch 9 Batch 78/269 - Train Accuracy: 0.8594, Validation Accuracy: 0.8331, Loss: 0.2252
Epoch 9 Batch 79/269 - Train Accuracy: 0.8378, Validation Accuracy: 0.8321, Loss: 0.2336
Epoch 9 Batch 80/269 - Train Accuracy: 0.8470, Validation Accuracy: 0.8288, Loss: 0.2211
Epoch 9 Batch 81/269 - Train Accuracy: 0.8233, Validation Accuracy: 0.8285, Loss: 0.2493
Epoch 9 Batch 82/269 - Train Accuracy: 0.8627, Validation Accuracy: 0.8336, Loss: 0.2157
Epoch 9 Batch 83/269 - Train Accuracy: 0.8315, Validation Accuracy: 0.8427, Loss: 0.2425
Epoch 9 Batch 84/269 - Train Accuracy: 0.8575, Validation Accuracy: 0.8277, Loss: 0.2248
Epoch 9 Batch 85/269 - Train Accuracy: 0.8589, Validation Accuracy: 0.8323, Loss: 0.2344
Epoch 9 Batch 86/269 - Train Accuracy: 0.8504, Validation Accuracy: 0.8380, Loss: 0.2288
Epoch 9 Batch 87/269 - Train Accuracy: 0.8287, Validation Accuracy: 0.8441, Loss: 0.2465
Epoch 9 Batch 88/269 - Train Accuracy: 0.8246, Validation Accuracy: 0.8296, Loss: 0.2381
Epoch 9 Batch 89/269 - Train Accuracy: 0.8477, Validation Accuracy: 0.8431, Loss: 0.2367
Epoch 9 Batch 90/269 - Train Accuracy: 0.8150, Validation Accuracy: 0.8265, Loss: 0.2386
Epoch 9 Batch 91/269 - Train Accuracy: 0.8463, Validation Accuracy: 0.8352, Loss: 0.2319
Epoch 9 Batch 92/269 - Train Accuracy: 0.8572, Validation Accuracy: 0.8293, Loss: 0.2275
Epoch 9 Batch 93/269 - Train Accuracy: 0.8607, Validation Accuracy: 0.8340, Loss: 0.2265
Epoch 9 Batch 94/269 - Train Accuracy: 0.8342, Validation Accuracy: 0.8381, Loss: 0.2507
Epoch 9 Batch 95/269 - Train Accuracy: 0.8396, Validation Accuracy: 0.8217, Loss: 0.2213
Epoch 9 Batch 96/269 - Train Accuracy: 0.8310, Validation Accuracy: 0.8365, Loss: 0.2434
Epoch 9 Batch 97/269 - Train Accuracy: 0.8378, Validation Accuracy: 0.8327, Loss: 0.2408
Epoch 9 Batch 98/269 - Train Accuracy: 0.8354, Validation Accuracy: 0.8287, Loss: 0.2364
Epoch 9 Batch 99/269 - Train Accuracy: 0.8060, Validation Accuracy: 0.8255, Loss: 0.2448
Epoch 9 Batch 100/269 - Train Accuracy: 0.8592, Validation Accuracy: 0.8380, Loss: 0.2309
Epoch 9 Batch 101/269 - Train Accuracy: 0.8102, Validation Accuracy: 0.8142, Loss: 0.2543
Epoch 9 Batch 102/269 - Train Accuracy: 0.8320, Validation Accuracy: 0.8354, Loss: 0.2437
Epoch 9 Batch 103/269 - Train Accuracy: 0.8402, Validation Accuracy: 0.8359, Loss: 0.2316
Epoch 9 Batch 104/269 - Train Accuracy: 0.8376, Validation Accuracy: 0.8366, Loss: 0.2288
Epoch 9 Batch 105/269 - Train Accuracy: 0.8293, Validation Accuracy: 0.8295, Loss: 0.2406
Epoch 9 Batch 106/269 - Train Accuracy: 0.8344, Validation Accuracy: 0.8254, Loss: 0.2265
Epoch 9 Batch 107/269 - Train Accuracy: 0.8301, Validation Accuracy: 0.8407, Loss: 0.2451
Epoch 9 Batch 108/269 - Train Accuracy: 0.8401, Validation Accuracy: 0.8396, Loss: 0.2264
Epoch 9 Batch 109/269 - Train Accuracy: 0.8220, Validation Accuracy: 0.8333, Loss: 0.2474
Epoch 9 Batch 110/269 - Train Accuracy: 0.8406, Validation Accuracy: 0.8342, Loss: 0.2248
Epoch 9 Batch 111/269 - Train Accuracy: 0.8394, Validation Accuracy: 0.8453, Loss: 0.2516
Epoch 9 Batch 112/269 - Train Accuracy: 0.8488, Validation Accuracy: 0.8420, Loss: 0.2289
Epoch 9 Batch 113/269 - Train Accuracy: 0.8384, Validation Accuracy: 0.8365, Loss: 0.2223
Epoch 9 Batch 114/269 - Train Accuracy: 0.8479, Validation Accuracy: 0.8327, Loss: 0.2255
Epoch 9 Batch 115/269 - Train Accuracy: 0.8246, Validation Accuracy: 0.8402, Loss: 0.2426
Epoch 9 Batch 116/269 - Train Accuracy: 0.8658, Validation Accuracy: 0.8427, Loss: 0.2296
Epoch 9 Batch 117/269 - Train Accuracy: 0.8268, Validation Accuracy: 0.8446, Loss: 0.2303
Epoch 9 Batch 118/269 - Train Accuracy: 0.8575, Validation Accuracy: 0.8356, Loss: 0.2133
Epoch 9 Batch 119/269 - Train Accuracy: 0.8366, Validation Accuracy: 0.8437, Loss: 0.2431
Epoch 9 Batch 120/269 - Train Accuracy: 0.8457, Validation Accuracy: 0.8456, Loss: 0.2307
Epoch 9 Batch 121/269 - Train Accuracy: 0.8464, Validation Accuracy: 0.8451, Loss: 0.2106
Epoch 9 Batch 122/269 - Train Accuracy: 0.8306, Validation Accuracy: 0.8389, Loss: 0.2221
Epoch 9 Batch 123/269 - Train Accuracy: 0.8483, Validation Accuracy: 0.8406, Loss: 0.2361
Epoch 9 Batch 124/269 - Train Accuracy: 0.8434, Validation Accuracy: 0.8417, Loss: 0.2129
Epoch 9 Batch 125/269 - Train Accuracy: 0.8590, Validation Accuracy: 0.8461, Loss: 0.2156
Epoch 9 Batch 126/269 - Train Accuracy: 0.8446, Validation Accuracy: 0.8456, Loss: 0.2294
Epoch 9 Batch 127/269 - Train Accuracy: 0.8405, Validation Accuracy: 0.8407, Loss: 0.2377
Epoch 9 Batch 128/269 - Train Accuracy: 0.8462, Validation Accuracy: 0.8361, Loss: 0.2280
Epoch 9 Batch 129/269 - Train Accuracy: 0.8460, Validation Accuracy: 0.8419, Loss: 0.2294
Epoch 9 Batch 130/269 - Train Accuracy: 0.8465, Validation Accuracy: 0.8383, Loss: 0.2366
Epoch 9 Batch 131/269 - Train Accuracy: 0.8364, Validation Accuracy: 0.8365, Loss: 0.2267
Epoch 9 Batch 132/269 - Train Accuracy: 0.8297, Validation Accuracy: 0.8441, Loss: 0.2385
Epoch 9 Batch 133/269 - Train Accuracy: 0.8577, Validation Accuracy: 0.8437, Loss: 0.2083
Epoch 9 Batch 134/269 - Train Accuracy: 0.8344, Validation Accuracy: 0.8456, Loss: 0.2371
Epoch 9 Batch 135/269 - Train Accuracy: 0.8344, Validation Accuracy: 0.8449, Loss: 0.2399
Epoch 9 Batch 136/269 - Train Accuracy: 0.8360, Validation Accuracy: 0.8475, Loss: 0.2455
Epoch 9 Batch 137/269 - Train Accuracy: 0.8300, Validation Accuracy: 0.8453, Loss: 0.2370
Epoch 9 Batch 138/269 - Train Accuracy: 0.8537, Validation Accuracy: 0.8349, Loss: 0.2311
Epoch 9 Batch 139/269 - Train Accuracy: 0.8526, Validation Accuracy: 0.8460, Loss: 0.2226
Epoch 9 Batch 140/269 - Train Accuracy: 0.8490, Validation Accuracy: 0.8483, Loss: 0.2364
Epoch 9 Batch 141/269 - Train Accuracy: 0.8531, Validation Accuracy: 0.8441, Loss: 0.2340
Epoch 9 Batch 142/269 - Train Accuracy: 0.8458, Validation Accuracy: 0.8387, Loss: 0.2243
Epoch 9 Batch 143/269 - Train Accuracy: 0.8463, Validation Accuracy: 0.8327, Loss: 0.2244
Epoch 9 Batch 144/269 - Train Accuracy: 0.8423, Validation Accuracy: 0.8420, Loss: 0.2183
Epoch 9 Batch 145/269 - Train Accuracy: 0.8541, Validation Accuracy: 0.8464, Loss: 0.2206
Epoch 9 Batch 146/269 - Train Accuracy: 0.8540, Validation Accuracy: 0.8420, Loss: 0.2182
Epoch 9 Batch 147/269 - Train Accuracy: 0.8542, Validation Accuracy: 0.8360, Loss: 0.2172
Epoch 9 Batch 148/269 - Train Accuracy: 0.8461, Validation Accuracy: 0.8460, Loss: 0.2372
Epoch 9 Batch 149/269 - Train Accuracy: 0.8295, Validation Accuracy: 0.8452, Loss: 0.2393
Epoch 9 Batch 150/269 - Train Accuracy: 0.8433, Validation Accuracy: 0.8393, Loss: 0.2255
Epoch 9 Batch 151/269 - Train Accuracy: 0.8437, Validation Accuracy: 0.8401, Loss: 0.2194
Epoch 9 Batch 152/269 - Train Accuracy: 0.8438, Validation Accuracy: 0.8427, Loss: 0.2308
Epoch 9 Batch 153/269 - Train Accuracy: 0.8381, Validation Accuracy: 0.8462, Loss: 0.2193
Epoch 9 Batch 154/269 - Train Accuracy: 0.8627, Validation Accuracy: 0.8444, Loss: 0.2234
Epoch 9 Batch 155/269 - Train Accuracy: 0.8504, Validation Accuracy: 0.8431, Loss: 0.2143
Epoch 9 Batch 156/269 - Train Accuracy: 0.8334, Validation Accuracy: 0.8365, Loss: 0.2273
Epoch 9 Batch 157/269 - Train Accuracy: 0.8330, Validation Accuracy: 0.8465, Loss: 0.2194
Epoch 9 Batch 158/269 - Train Accuracy: 0.8443, Validation Accuracy: 0.8466, Loss: 0.2199
Epoch 9 Batch 159/269 - Train Accuracy: 0.8390, Validation Accuracy: 0.8536, Loss: 0.2219
Epoch 9 Batch 160/269 - Train Accuracy: 0.8464, Validation Accuracy: 0.8371, Loss: 0.2222
Epoch 9 Batch 161/269 - Train Accuracy: 0.8443, Validation Accuracy: 0.8492, Loss: 0.2202
Epoch 9 Batch 162/269 - Train Accuracy: 0.8604, Validation Accuracy: 0.8523, Loss: 0.2229
Epoch 9 Batch 163/269 - Train Accuracy: 0.8630, Validation Accuracy: 0.8526, Loss: 0.2198
Epoch 9 Batch 164/269 - Train Accuracy: 0.8638, Validation Accuracy: 0.8445, Loss: 0.2208
Epoch 9 Batch 165/269 - Train Accuracy: 0.8659, Validation Accuracy: 0.8453, Loss: 0.2204
Epoch 9 Batch 166/269 - Train Accuracy: 0.8608, Validation Accuracy: 0.8485, Loss: 0.2161
Epoch 9 Batch 167/269 - Train Accuracy: 0.8551, Validation Accuracy: 0.8488, Loss: 0.2171
Epoch 9 Batch 168/269 - Train Accuracy: 0.8415, Validation Accuracy: 0.8439, Loss: 0.2294
Epoch 9 Batch 169/269 - Train Accuracy: 0.8517, Validation Accuracy: 0.8414, Loss: 0.2246
Epoch 9 Batch 170/269 - Train Accuracy: 0.8532, Validation Accuracy: 0.8435, Loss: 0.2211
Epoch 9 Batch 171/269 - Train Accuracy: 0.8540, Validation Accuracy: 0.8468, Loss: 0.2252
Epoch 9 Batch 172/269 - Train Accuracy: 0.8441, Validation Accuracy: 0.8477, Loss: 0.2368
Epoch 9 Batch 173/269 - Train Accuracy: 0.8565, Validation Accuracy: 0.8399, Loss: 0.2140
Epoch 9 Batch 174/269 - Train Accuracy: 0.8488, Validation Accuracy: 0.8482, Loss: 0.2198
Epoch 9 Batch 175/269 - Train Accuracy: 0.8450, Validation Accuracy: 0.8513, Loss: 0.2321
Epoch 9 Batch 176/269 - Train Accuracy: 0.8515, Validation Accuracy: 0.8511, Loss: 0.2289
Epoch 9 Batch 177/269 - Train Accuracy: 0.8482, Validation Accuracy: 0.8524, Loss: 0.2102
Epoch 9 Batch 178/269 - Train Accuracy: 0.8624, Validation Accuracy: 0.8464, Loss: 0.2241
Epoch 9 Batch 179/269 - Train Accuracy: 0.8464, Validation Accuracy: 0.8507, Loss: 0.2155
Epoch 9 Batch 180/269 - Train Accuracy: 0.8557, Validation Accuracy: 0.8541, Loss: 0.2083
Epoch 9 Batch 181/269 - Train Accuracy: 0.8410, Validation Accuracy: 0.8485, Loss: 0.2243
Epoch 9 Batch 182/269 - Train Accuracy: 0.8462, Validation Accuracy: 0.8412, Loss: 0.2177
Epoch 9 Batch 183/269 - Train Accuracy: 0.8761, Validation Accuracy: 0.8411, Loss: 0.1894
Epoch 9 Batch 184/269 - Train Accuracy: 0.8396, Validation Accuracy: 0.8445, Loss: 0.2217
Epoch 9 Batch 185/269 - Train Accuracy: 0.8601, Validation Accuracy: 0.8386, Loss: 0.2111
Epoch 9 Batch 186/269 - Train Accuracy: 0.8359, Validation Accuracy: 0.8369, Loss: 0.2159
Epoch 9 Batch 187/269 - Train Accuracy: 0.8425, Validation Accuracy: 0.8392, Loss: 0.2144
Epoch 9 Batch 188/269 - Train Accuracy: 0.8592, Validation Accuracy: 0.8375, Loss: 0.2076
Epoch 9 Batch 189/269 - Train Accuracy: 0.8505, Validation Accuracy: 0.8392, Loss: 0.2071
Epoch 9 Batch 190/269 - Train Accuracy: 0.8568, Validation Accuracy: 0.8404, Loss: 0.2050
Epoch 9 Batch 191/269 - Train Accuracy: 0.8453, Validation Accuracy: 0.8458, Loss: 0.2178
Epoch 9 Batch 192/269 - Train Accuracy: 0.8535, Validation Accuracy: 0.8562, Loss: 0.2244
Epoch 9 Batch 193/269 - Train Accuracy: 0.8737, Validation Accuracy: 0.8531, Loss: 0.2070
Epoch 9 Batch 194/269 - Train Accuracy: 0.8466, Validation Accuracy: 0.8556, Loss: 0.2199
Epoch 9 Batch 195/269 - Train Accuracy: 0.8597, Validation Accuracy: 0.8489, Loss: 0.2194
Epoch 9 Batch 196/269 - Train Accuracy: 0.8478, Validation Accuracy: 0.8549, Loss: 0.2085
Epoch 9 Batch 197/269 - Train Accuracy: 0.8440, Validation Accuracy: 0.8550, Loss: 0.2269
Epoch 9 Batch 198/269 - Train Accuracy: 0.8359, Validation Accuracy: 0.8517, Loss: 0.2234
Epoch 9 Batch 199/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8496, Loss: 0.2238
Epoch 9 Batch 200/269 - Train Accuracy: 0.8576, Validation Accuracy: 0.8481, Loss: 0.2220
Epoch 9 Batch 201/269 - Train Accuracy: 0.8595, Validation Accuracy: 0.8477, Loss: 0.2141
Epoch 9 Batch 202/269 - Train Accuracy: 0.8457, Validation Accuracy: 0.8430, Loss: 0.2175
Epoch 9 Batch 203/269 - Train Accuracy: 0.8480, Validation Accuracy: 0.8529, Loss: 0.2363
Epoch 9 Batch 204/269 - Train Accuracy: 0.8444, Validation Accuracy: 0.8593, Loss: 0.2333
Epoch 9 Batch 205/269 - Train Accuracy: 0.8557, Validation Accuracy: 0.8580, Loss: 0.2209
Epoch 9 Batch 206/269 - Train Accuracy: 0.8382, Validation Accuracy: 0.8503, Loss: 0.2304
Epoch 9 Batch 207/269 - Train Accuracy: 0.8437, Validation Accuracy: 0.8456, Loss: 0.2125
Epoch 9 Batch 208/269 - Train Accuracy: 0.8634, Validation Accuracy: 0.8446, Loss: 0.2221
Epoch 9 Batch 209/269 - Train Accuracy: 0.8711, Validation Accuracy: 0.8466, Loss: 0.2105
Epoch 9 Batch 210/269 - Train Accuracy: 0.8513, Validation Accuracy: 0.8494, Loss: 0.2140
Epoch 9 Batch 211/269 - Train Accuracy: 0.8550, Validation Accuracy: 0.8388, Loss: 0.2196
Epoch 9 Batch 212/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8454, Loss: 0.2194
Epoch 9 Batch 213/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8468, Loss: 0.2125
Epoch 9 Batch 214/269 - Train Accuracy: 0.8457, Validation Accuracy: 0.8519, Loss: 0.2193
Epoch 9 Batch 215/269 - Train Accuracy: 0.8660, Validation Accuracy: 0.8441, Loss: 0.2005
Epoch 9 Batch 216/269 - Train Accuracy: 0.8441, Validation Accuracy: 0.8550, Loss: 0.2426
Epoch 9 Batch 217/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8618, Loss: 0.2197
Epoch 9 Batch 218/269 - Train Accuracy: 0.8790, Validation Accuracy: 0.8565, Loss: 0.2197
Epoch 9 Batch 219/269 - Train Accuracy: 0.8522, Validation Accuracy: 0.8509, Loss: 0.2283
Epoch 9 Batch 220/269 - Train Accuracy: 0.8767, Validation Accuracy: 0.8473, Loss: 0.1987
Epoch 9 Batch 221/269 - Train Accuracy: 0.8644, Validation Accuracy: 0.8432, Loss: 0.2179
Epoch 9 Batch 222/269 - Train Accuracy: 0.8729, Validation Accuracy: 0.8538, Loss: 0.2047
Epoch 9 Batch 223/269 - Train Accuracy: 0.8546, Validation Accuracy: 0.8435, Loss: 0.2050
Epoch 9 Batch 224/269 - Train Accuracy: 0.8537, Validation Accuracy: 0.8441, Loss: 0.2258
Epoch 9 Batch 225/269 - Train Accuracy: 0.8488, Validation Accuracy: 0.8498, Loss: 0.2066
Epoch 9 Batch 226/269 - Train Accuracy: 0.8627, Validation Accuracy: 0.8471, Loss: 0.2120
Epoch 9 Batch 227/269 - Train Accuracy: 0.8681, Validation Accuracy: 0.8481, Loss: 0.2068
Epoch 9 Batch 228/269 - Train Accuracy: 0.8440, Validation Accuracy: 0.8477, Loss: 0.2124
Epoch 9 Batch 229/269 - Train Accuracy: 0.8471, Validation Accuracy: 0.8453, Loss: 0.2133
Epoch 9 Batch 230/269 - Train Accuracy: 0.8586, Validation Accuracy: 0.8548, Loss: 0.2141
Epoch 9 Batch 231/269 - Train Accuracy: 0.8466, Validation Accuracy: 0.8500, Loss: 0.2191
Epoch 9 Batch 232/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8567, Loss: 0.2223
Epoch 9 Batch 233/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8522, Loss: 0.2125
Epoch 9 Batch 234/269 - Train Accuracy: 0.8688, Validation Accuracy: 0.8523, Loss: 0.2089
Epoch 9 Batch 235/269 - Train Accuracy: 0.8606, Validation Accuracy: 0.8447, Loss: 0.1955
Epoch 9 Batch 236/269 - Train Accuracy: 0.8471, Validation Accuracy: 0.8574, Loss: 0.2078
Epoch 9 Batch 237/269 - Train Accuracy: 0.8480, Validation Accuracy: 0.8517, Loss: 0.2049
Epoch 9 Batch 238/269 - Train Accuracy: 0.8635, Validation Accuracy: 0.8517, Loss: 0.2134
Epoch 9 Batch 239/269 - Train Accuracy: 0.8587, Validation Accuracy: 0.8580, Loss: 0.2041
Epoch 9 Batch 240/269 - Train Accuracy: 0.8817, Validation Accuracy: 0.8593, Loss: 0.1907
Epoch 9 Batch 241/269 - Train Accuracy: 0.8551, Validation Accuracy: 0.8534, Loss: 0.2247
Epoch 9 Batch 242/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8495, Loss: 0.2031
Epoch 9 Batch 243/269 - Train Accuracy: 0.8707, Validation Accuracy: 0.8555, Loss: 0.1984
Epoch 9 Batch 244/269 - Train Accuracy: 0.8585, Validation Accuracy: 0.8552, Loss: 0.1989
Epoch 9 Batch 245/269 - Train Accuracy: 0.8415, Validation Accuracy: 0.8524, Loss: 0.2276
Epoch 9 Batch 246/269 - Train Accuracy: 0.8431, Validation Accuracy: 0.8518, Loss: 0.2108
Epoch 9 Batch 247/269 - Train Accuracy: 0.8587, Validation Accuracy: 0.8576, Loss: 0.2158
Epoch 9 Batch 248/269 - Train Accuracy: 0.8649, Validation Accuracy: 0.8497, Loss: 0.1976
Epoch 9 Batch 249/269 - Train Accuracy: 0.8754, Validation Accuracy: 0.8564, Loss: 0.1994
Epoch 9 Batch 250/269 - Train Accuracy: 0.8507, Validation Accuracy: 0.8595, Loss: 0.2026
Epoch 9 Batch 251/269 - Train Accuracy: 0.8730, Validation Accuracy: 0.8564, Loss: 0.1993
Epoch 9 Batch 252/269 - Train Accuracy: 0.8615, Validation Accuracy: 0.8542, Loss: 0.2051
Epoch 9 Batch 253/269 - Train Accuracy: 0.8407, Validation Accuracy: 0.8542, Loss: 0.2134
Epoch 9 Batch 254/269 - Train Accuracy: 0.8538, Validation Accuracy: 0.8494, Loss: 0.2041
Epoch 9 Batch 255/269 - Train Accuracy: 0.8618, Validation Accuracy: 0.8517, Loss: 0.2082
Epoch 9 Batch 256/269 - Train Accuracy: 0.8358, Validation Accuracy: 0.8557, Loss: 0.2089
Epoch 9 Batch 257/269 - Train Accuracy: 0.8438, Validation Accuracy: 0.8497, Loss: 0.2213
Epoch 9 Batch 258/269 - Train Accuracy: 0.8527, Validation Accuracy: 0.8487, Loss: 0.2178
Epoch 9 Batch 259/269 - Train Accuracy: 0.8616, Validation Accuracy: 0.8548, Loss: 0.2048
Epoch 9 Batch 260/269 - Train Accuracy: 0.8412, Validation Accuracy: 0.8581, Loss: 0.2230
Epoch 9 Batch 261/269 - Train Accuracy: 0.8574, Validation Accuracy: 0.8543, Loss: 0.2198
Epoch 9 Batch 262/269 - Train Accuracy: 0.8687, Validation Accuracy: 0.8597, Loss: 0.2084
Epoch 9 Batch 263/269 - Train Accuracy: 0.8503, Validation Accuracy: 0.8501, Loss: 0.2135
Epoch 9 Batch 264/269 - Train Accuracy: 0.8295, Validation Accuracy: 0.8542, Loss: 0.2213
Epoch 9 Batch 265/269 - Train Accuracy: 0.8677, Validation Accuracy: 0.8544, Loss: 0.2066
Epoch 9 Batch 266/269 - Train Accuracy: 0.8634, Validation Accuracy: 0.8575, Loss: 0.1962
Epoch 9 Batch 267/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8556, Loss: 0.2160
Epoch 10 Batch 1/269 - Train Accuracy: 0.8692, Validation Accuracy: 0.8610, Loss: 0.2053
Epoch 10 Batch 2/269 - Train Accuracy: 0.8561, Validation Accuracy: 0.8478, Loss: 0.2135
Epoch 10 Batch 3/269 - Train Accuracy: 0.8590, Validation Accuracy: 0.8449, Loss: 0.2051
Epoch 10 Batch 4/269 - Train Accuracy: 0.8464, Validation Accuracy: 0.8481, Loss: 0.2157
Epoch 10 Batch 5/269 - Train Accuracy: 0.8485, Validation Accuracy: 0.8538, Loss: 0.2063
Epoch 10 Batch 6/269 - Train Accuracy: 0.8769, Validation Accuracy: 0.8444, Loss: 0.1975
Epoch 10 Batch 7/269 - Train Accuracy: 0.8573, Validation Accuracy: 0.8433, Loss: 0.2001
Epoch 10 Batch 8/269 - Train Accuracy: 0.8684, Validation Accuracy: 0.8558, Loss: 0.2152
Epoch 10 Batch 9/269 - Train Accuracy: 0.8509, Validation Accuracy: 0.8602, Loss: 0.2145
Epoch 10 Batch 10/269 - Train Accuracy: 0.8580, Validation Accuracy: 0.8505, Loss: 0.2025
Epoch 10 Batch 11/269 - Train Accuracy: 0.8513, Validation Accuracy: 0.8526, Loss: 0.2156
Epoch 10 Batch 12/269 - Train Accuracy: 0.8599, Validation Accuracy: 0.8651, Loss: 0.2213
Epoch 10 Batch 13/269 - Train Accuracy: 0.8612, Validation Accuracy: 0.8620, Loss: 0.1874
Epoch 10 Batch 14/269 - Train Accuracy: 0.8468, Validation Accuracy: 0.8599, Loss: 0.2055
Epoch 10 Batch 15/269 - Train Accuracy: 0.8624, Validation Accuracy: 0.8674, Loss: 0.1932
Epoch 10 Batch 16/269 - Train Accuracy: 0.8544, Validation Accuracy: 0.8699, Loss: 0.2111
Epoch 10 Batch 17/269 - Train Accuracy: 0.8717, Validation Accuracy: 0.8654, Loss: 0.1938
Epoch 10 Batch 18/269 - Train Accuracy: 0.8530, Validation Accuracy: 0.8612, Loss: 0.2076
Epoch 10 Batch 19/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8548, Loss: 0.1851
Epoch 10 Batch 20/269 - Train Accuracy: 0.8759, Validation Accuracy: 0.8556, Loss: 0.2105
Epoch 10 Batch 21/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8548, Loss: 0.2291
Epoch 10 Batch 22/269 - Train Accuracy: 0.8695, Validation Accuracy: 0.8589, Loss: 0.1949
Epoch 10 Batch 23/269 - Train Accuracy: 0.8469, Validation Accuracy: 0.8567, Loss: 0.2069
Epoch 10 Batch 24/269 - Train Accuracy: 0.8549, Validation Accuracy: 0.8592, Loss: 0.2162
Epoch 10 Batch 25/269 - Train Accuracy: 0.8471, Validation Accuracy: 0.8607, Loss: 0.2220
Epoch 10 Batch 26/269 - Train Accuracy: 0.8604, Validation Accuracy: 0.8635, Loss: 0.1845
Epoch 10 Batch 27/269 - Train Accuracy: 0.8620, Validation Accuracy: 0.8662, Loss: 0.2015
Epoch 10 Batch 28/269 - Train Accuracy: 0.8266, Validation Accuracy: 0.8655, Loss: 0.2144
Epoch 10 Batch 29/269 - Train Accuracy: 0.8749, Validation Accuracy: 0.8693, Loss: 0.2117
Epoch 10 Batch 30/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8701, Loss: 0.2019
Epoch 10 Batch 31/269 - Train Accuracy: 0.8722, Validation Accuracy: 0.8659, Loss: 0.1878
Epoch 10 Batch 32/269 - Train Accuracy: 0.8677, Validation Accuracy: 0.8667, Loss: 0.1947
Epoch 10 Batch 33/269 - Train Accuracy: 0.8677, Validation Accuracy: 0.8703, Loss: 0.1951
Epoch 10 Batch 34/269 - Train Accuracy: 0.8778, Validation Accuracy: 0.8715, Loss: 0.1954
Epoch 10 Batch 35/269 - Train Accuracy: 0.8582, Validation Accuracy: 0.8667, Loss: 0.2129
Epoch 10 Batch 36/269 - Train Accuracy: 0.8365, Validation Accuracy: 0.8652, Loss: 0.2075
Epoch 10 Batch 37/269 - Train Accuracy: 0.8508, Validation Accuracy: 0.8572, Loss: 0.2061
Epoch 10 Batch 38/269 - Train Accuracy: 0.8537, Validation Accuracy: 0.8523, Loss: 0.1997
Epoch 10 Batch 39/269 - Train Accuracy: 0.8597, Validation Accuracy: 0.8608, Loss: 0.1959
Epoch 10 Batch 40/269 - Train Accuracy: 0.8544, Validation Accuracy: 0.8641, Loss: 0.2103
Epoch 10 Batch 41/269 - Train Accuracy: 0.8636, Validation Accuracy: 0.8635, Loss: 0.2111
Epoch 10 Batch 42/269 - Train Accuracy: 0.8786, Validation Accuracy: 0.8556, Loss: 0.1938
Epoch 10 Batch 43/269 - Train Accuracy: 0.8528, Validation Accuracy: 0.8651, Loss: 0.2147
Epoch 10 Batch 44/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8613, Loss: 0.2035
Epoch 10 Batch 45/269 - Train Accuracy: 0.8478, Validation Accuracy: 0.8443, Loss: 0.2104
Epoch 10 Batch 46/269 - Train Accuracy: 0.8548, Validation Accuracy: 0.8507, Loss: 0.2063
Epoch 10 Batch 47/269 - Train Accuracy: 0.8714, Validation Accuracy: 0.8583, Loss: 0.1868
Epoch 10 Batch 48/269 - Train Accuracy: 0.8785, Validation Accuracy: 0.8569, Loss: 0.1919
Epoch 10 Batch 49/269 - Train Accuracy: 0.8520, Validation Accuracy: 0.8611, Loss: 0.2059
Epoch 10 Batch 50/269 - Train Accuracy: 0.8391, Validation Accuracy: 0.8601, Loss: 0.2158
Epoch 10 Batch 51/269 - Train Accuracy: 0.8587, Validation Accuracy: 0.8453, Loss: 0.2037
Epoch 10 Batch 52/269 - Train Accuracy: 0.8589, Validation Accuracy: 0.8629, Loss: 0.1875
Epoch 10 Batch 53/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8670, Loss: 0.2176
Epoch 10 Batch 54/269 - Train Accuracy: 0.8575, Validation Accuracy: 0.8610, Loss: 0.2012
Epoch 10 Batch 55/269 - Train Accuracy: 0.8612, Validation Accuracy: 0.8439, Loss: 0.1963
Epoch 10 Batch 56/269 - Train Accuracy: 0.8569, Validation Accuracy: 0.8604, Loss: 0.2023
Epoch 10 Batch 57/269 - Train Accuracy: 0.8621, Validation Accuracy: 0.8633, Loss: 0.2111
Epoch 10 Batch 58/269 - Train Accuracy: 0.8652, Validation Accuracy: 0.8619, Loss: 0.2040
Epoch 10 Batch 59/269 - Train Accuracy: 0.8637, Validation Accuracy: 0.8596, Loss: 0.1843
Epoch 10 Batch 60/269 - Train Accuracy: 0.8710, Validation Accuracy: 0.8598, Loss: 0.1896
Epoch 10 Batch 61/269 - Train Accuracy: 0.8819, Validation Accuracy: 0.8669, Loss: 0.1833
Epoch 10 Batch 62/269 - Train Accuracy: 0.8730, Validation Accuracy: 0.8677, Loss: 0.1917
Epoch 10 Batch 63/269 - Train Accuracy: 0.8468, Validation Accuracy: 0.8648, Loss: 0.2104
Epoch 10 Batch 64/269 - Train Accuracy: 0.8654, Validation Accuracy: 0.8601, Loss: 0.1887
Epoch 10 Batch 65/269 - Train Accuracy: 0.8608, Validation Accuracy: 0.8730, Loss: 0.1976
Epoch 10 Batch 66/269 - Train Accuracy: 0.8536, Validation Accuracy: 0.8709, Loss: 0.1960
Epoch 10 Batch 67/269 - Train Accuracy: 0.8653, Validation Accuracy: 0.8660, Loss: 0.2032
Epoch 10 Batch 68/269 - Train Accuracy: 0.8430, Validation Accuracy: 0.8689, Loss: 0.2131
Epoch 10 Batch 69/269 - Train Accuracy: 0.8451, Validation Accuracy: 0.8667, Loss: 0.2255
Epoch 10 Batch 70/269 - Train Accuracy: 0.8689, Validation Accuracy: 0.8689, Loss: 0.2068
Epoch 10 Batch 71/269 - Train Accuracy: 0.8591, Validation Accuracy: 0.8695, Loss: 0.2098
Epoch 10 Batch 72/269 - Train Accuracy: 0.8706, Validation Accuracy: 0.8748, Loss: 0.2058
Epoch 10 Batch 73/269 - Train Accuracy: 0.8624, Validation Accuracy: 0.8643, Loss: 0.2071
Epoch 10 Batch 74/269 - Train Accuracy: 0.8657, Validation Accuracy: 0.8669, Loss: 0.1922
Epoch 10 Batch 75/269 - Train Accuracy: 0.8641, Validation Accuracy: 0.8617, Loss: 0.1999
Epoch 10 Batch 76/269 - Train Accuracy: 0.8516, Validation Accuracy: 0.8602, Loss: 0.2029
Epoch 10 Batch 77/269 - Train Accuracy: 0.8703, Validation Accuracy: 0.8597, Loss: 0.1969
Epoch 10 Batch 78/269 - Train Accuracy: 0.8883, Validation Accuracy: 0.8716, Loss: 0.1938
Epoch 10 Batch 79/269 - Train Accuracy: 0.8677, Validation Accuracy: 0.8659, Loss: 0.1996
Epoch 10 Batch 80/269 - Train Accuracy: 0.8635, Validation Accuracy: 0.8694, Loss: 0.1946
Epoch 10 Batch 81/269 - Train Accuracy: 0.8460, Validation Accuracy: 0.8694, Loss: 0.2130
Epoch 10 Batch 82/269 - Train Accuracy: 0.8935, Validation Accuracy: 0.8675, Loss: 0.1815
Epoch 10 Batch 83/269 - Train Accuracy: 0.8515, Validation Accuracy: 0.8667, Loss: 0.2019
Epoch 10 Batch 84/269 - Train Accuracy: 0.8834, Validation Accuracy: 0.8665, Loss: 0.1896
Epoch 10 Batch 85/269 - Train Accuracy: 0.8806, Validation Accuracy: 0.8687, Loss: 0.1932
Epoch 10 Batch 86/269 - Train Accuracy: 0.8653, Validation Accuracy: 0.8661, Loss: 0.1934
Epoch 10 Batch 87/269 - Train Accuracy: 0.8592, Validation Accuracy: 0.8743, Loss: 0.2150
Epoch 10 Batch 88/269 - Train Accuracy: 0.8515, Validation Accuracy: 0.8682, Loss: 0.1978
Epoch 10 Batch 89/269 - Train Accuracy: 0.8715, Validation Accuracy: 0.8707, Loss: 0.1953
Epoch 10 Batch 90/269 - Train Accuracy: 0.8562, Validation Accuracy: 0.8590, Loss: 0.2070
Epoch 10 Batch 91/269 - Train Accuracy: 0.8744, Validation Accuracy: 0.8596, Loss: 0.1876
Epoch 10 Batch 92/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.8734, Loss: 0.1858
Epoch 10 Batch 93/269 - Train Accuracy: 0.8738, Validation Accuracy: 0.8660, Loss: 0.1931
Epoch 10 Batch 94/269 - Train Accuracy: 0.8562, Validation Accuracy: 0.8605, Loss: 0.2093
Epoch 10 Batch 95/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.8643, Loss: 0.1931
Epoch 10 Batch 96/269 - Train Accuracy: 0.8504, Validation Accuracy: 0.8630, Loss: 0.2022
Epoch 10 Batch 97/269 - Train Accuracy: 0.8627, Validation Accuracy: 0.8649, Loss: 0.1963
Epoch 10 Batch 98/269 - Train Accuracy: 0.8627, Validation Accuracy: 0.8676, Loss: 0.2006
Epoch 10 Batch 99/269 - Train Accuracy: 0.8584, Validation Accuracy: 0.8667, Loss: 0.1927
Epoch 10 Batch 100/269 - Train Accuracy: 0.8868, Validation Accuracy: 0.8666, Loss: 0.1911
Epoch 10 Batch 101/269 - Train Accuracy: 0.8517, Validation Accuracy: 0.8571, Loss: 0.2144
Epoch 10 Batch 102/269 - Train Accuracy: 0.8658, Validation Accuracy: 0.8663, Loss: 0.1981
Epoch 10 Batch 103/269 - Train Accuracy: 0.8887, Validation Accuracy: 0.8674, Loss: 0.2074
Epoch 10 Batch 104/269 - Train Accuracy: 0.8599, Validation Accuracy: 0.8641, Loss: 0.1985
Epoch 10 Batch 105/269 - Train Accuracy: 0.8670, Validation Accuracy: 0.8574, Loss: 0.1925
Epoch 10 Batch 106/269 - Train Accuracy: 0.8645, Validation Accuracy: 0.8586, Loss: 0.1925
Epoch 10 Batch 107/269 - Train Accuracy: 0.8738, Validation Accuracy: 0.8633, Loss: 0.2002
Epoch 10 Batch 108/269 - Train Accuracy: 0.8716, Validation Accuracy: 0.8680, Loss: 0.1950
Epoch 10 Batch 109/269 - Train Accuracy: 0.8490, Validation Accuracy: 0.8755, Loss: 0.2097
Epoch 10 Batch 110/269 - Train Accuracy: 0.8695, Validation Accuracy: 0.8678, Loss: 0.1874
Epoch 10 Batch 111/269 - Train Accuracy: 0.8649, Validation Accuracy: 0.8682, Loss: 0.2123
Epoch 10 Batch 112/269 - Train Accuracy: 0.8734, Validation Accuracy: 0.8666, Loss: 0.1890
Epoch 10 Batch 113/269 - Train Accuracy: 0.8608, Validation Accuracy: 0.8657, Loss: 0.1937
Epoch 10 Batch 114/269 - Train Accuracy: 0.8790, Validation Accuracy: 0.8661, Loss: 0.1944
Epoch 10 Batch 115/269 - Train Accuracy: 0.8493, Validation Accuracy: 0.8644, Loss: 0.2027
Epoch 10 Batch 116/269 - Train Accuracy: 0.8764, Validation Accuracy: 0.8587, Loss: 0.2027
Epoch 10 Batch 117/269 - Train Accuracy: 0.8598, Validation Accuracy: 0.8627, Loss: 0.1972
Epoch 10 Batch 118/269 - Train Accuracy: 0.8836, Validation Accuracy: 0.8657, Loss: 0.1816
Epoch 10 Batch 119/269 - Train Accuracy: 0.8568, Validation Accuracy: 0.8620, Loss: 0.2118
Epoch 10 Batch 120/269 - Train Accuracy: 0.8657, Validation Accuracy: 0.8663, Loss: 0.1963
Epoch 10 Batch 121/269 - Train Accuracy: 0.8675, Validation Accuracy: 0.8667, Loss: 0.1893
Epoch 10 Batch 122/269 - Train Accuracy: 0.8567, Validation Accuracy: 0.8636, Loss: 0.1887
Epoch 10 Batch 123/269 - Train Accuracy: 0.8707, Validation Accuracy: 0.8684, Loss: 0.1995
Epoch 10 Batch 124/269 - Train Accuracy: 0.8661, Validation Accuracy: 0.8697, Loss: 0.1816
Epoch 10 Batch 125/269 - Train Accuracy: 0.8945, Validation Accuracy: 0.8700, Loss: 0.1822
Epoch 10 Batch 126/269 - Train Accuracy: 0.8613, Validation Accuracy: 0.8669, Loss: 0.1894
Epoch 10 Batch 127/269 - Train Accuracy: 0.8656, Validation Accuracy: 0.8666, Loss: 0.2013
Epoch 10 Batch 128/269 - Train Accuracy: 0.8723, Validation Accuracy: 0.8678, Loss: 0.1926
Epoch 10 Batch 129/269 - Train Accuracy: 0.8628, Validation Accuracy: 0.8586, Loss: 0.1884
Epoch 10 Batch 130/269 - Train Accuracy: 0.8782, Validation Accuracy: 0.8611, Loss: 0.1988
Epoch 10 Batch 131/269 - Train Accuracy: 0.8513, Validation Accuracy: 0.8612, Loss: 0.1933
Epoch 10 Batch 132/269 - Train Accuracy: 0.8494, Validation Accuracy: 0.8556, Loss: 0.2044
Epoch 10 Batch 133/269 - Train Accuracy: 0.8791, Validation Accuracy: 0.8667, Loss: 0.1888
Epoch 10 Batch 134/269 - Train Accuracy: 0.8563, Validation Accuracy: 0.8731, Loss: 0.1954
Epoch 10 Batch 135/269 - Train Accuracy: 0.8645, Validation Accuracy: 0.8630, Loss: 0.2104
Epoch 10 Batch 136/269 - Train Accuracy: 0.8567, Validation Accuracy: 0.8626, Loss: 0.2025
Epoch 10 Batch 137/269 - Train Accuracy: 0.8596, Validation Accuracy: 0.8688, Loss: 0.2106
Epoch 10 Batch 138/269 - Train Accuracy: 0.8681, Validation Accuracy: 0.8561, Loss: 0.1962
Epoch 10 Batch 139/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8618, Loss: 0.1892
Epoch 10 Batch 140/269 - Train Accuracy: 0.8739, Validation Accuracy: 0.8585, Loss: 0.1993
Epoch 10 Batch 141/269 - Train Accuracy: 0.8709, Validation Accuracy: 0.8701, Loss: 0.1964
Epoch 10 Batch 142/269 - Train Accuracy: 0.8650, Validation Accuracy: 0.8645, Loss: 0.1833
Epoch 10 Batch 143/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8650, Loss: 0.1960
Epoch 10 Batch 144/269 - Train Accuracy: 0.8781, Validation Accuracy: 0.8702, Loss: 0.1844
Epoch 10 Batch 145/269 - Train Accuracy: 0.8680, Validation Accuracy: 0.8659, Loss: 0.1915
Epoch 10 Batch 146/269 - Train Accuracy: 0.8691, Validation Accuracy: 0.8690, Loss: 0.1859
Epoch 10 Batch 147/269 - Train Accuracy: 0.8749, Validation Accuracy: 0.8706, Loss: 0.1956
Epoch 10 Batch 148/269 - Train Accuracy: 0.8675, Validation Accuracy: 0.8607, Loss: 0.1895
Epoch 10 Batch 149/269 - Train Accuracy: 0.8491, Validation Accuracy: 0.8716, Loss: 0.2058
Epoch 10 Batch 150/269 - Train Accuracy: 0.8671, Validation Accuracy: 0.8640, Loss: 0.1899
Epoch 10 Batch 151/269 - Train Accuracy: 0.8689, Validation Accuracy: 0.8708, Loss: 0.1860
Epoch 10 Batch 152/269 - Train Accuracy: 0.8686, Validation Accuracy: 0.8658, Loss: 0.1912
Epoch 10 Batch 153/269 - Train Accuracy: 0.8779, Validation Accuracy: 0.8689, Loss: 0.1826
Epoch 10 Batch 154/269 - Train Accuracy: 0.8901, Validation Accuracy: 0.8737, Loss: 0.1926
Epoch 10 Batch 155/269 - Train Accuracy: 0.8615, Validation Accuracy: 0.8752, Loss: 0.1833
Epoch 10 Batch 156/269 - Train Accuracy: 0.8546, Validation Accuracy: 0.8714, Loss: 0.1951
Epoch 10 Batch 157/269 - Train Accuracy: 0.8610, Validation Accuracy: 0.8699, Loss: 0.1922
Epoch 10 Batch 158/269 - Train Accuracy: 0.8634, Validation Accuracy: 0.8667, Loss: 0.1878
Epoch 10 Batch 159/269 - Train Accuracy: 0.8511, Validation Accuracy: 0.8523, Loss: 0.1962
Epoch 10 Batch 160/269 - Train Accuracy: 0.8735, Validation Accuracy: 0.8608, Loss: 0.1863
Epoch 10 Batch 161/269 - Train Accuracy: 0.8554, Validation Accuracy: 0.8678, Loss: 0.1890
Epoch 10 Batch 162/269 - Train Accuracy: 0.8756, Validation Accuracy: 0.8603, Loss: 0.1874
Epoch 10 Batch 163/269 - Train Accuracy: 0.8709, Validation Accuracy: 0.8622, Loss: 0.1904
Epoch 10 Batch 164/269 - Train Accuracy: 0.8780, Validation Accuracy: 0.8667, Loss: 0.1935
Epoch 10 Batch 165/269 - Train Accuracy: 0.8821, Validation Accuracy: 0.8691, Loss: 0.1840
Epoch 10 Batch 166/269 - Train Accuracy: 0.8728, Validation Accuracy: 0.8700, Loss: 0.1842
Epoch 10 Batch 167/269 - Train Accuracy: 0.8710, Validation Accuracy: 0.8693, Loss: 0.1883
Epoch 10 Batch 168/269 - Train Accuracy: 0.8578, Validation Accuracy: 0.8746, Loss: 0.1996
Epoch 10 Batch 169/269 - Train Accuracy: 0.8699, Validation Accuracy: 0.8755, Loss: 0.1873
Epoch 10 Batch 170/269 - Train Accuracy: 0.8767, Validation Accuracy: 0.8661, Loss: 0.1833
Epoch 10 Batch 171/269 - Train Accuracy: 0.8693, Validation Accuracy: 0.8719, Loss: 0.1887
Epoch 10 Batch 172/269 - Train Accuracy: 0.8589, Validation Accuracy: 0.8687, Loss: 0.2042
Epoch 10 Batch 173/269 - Train Accuracy: 0.8692, Validation Accuracy: 0.8738, Loss: 0.1777
Epoch 10 Batch 174/269 - Train Accuracy: 0.8744, Validation Accuracy: 0.8808, Loss: 0.1851
Epoch 10 Batch 175/269 - Train Accuracy: 0.8594, Validation Accuracy: 0.8787, Loss: 0.2057
Epoch 10 Batch 176/269 - Train Accuracy: 0.8553, Validation Accuracy: 0.8704, Loss: 0.1971
Epoch 10 Batch 177/269 - Train Accuracy: 0.8696, Validation Accuracy: 0.8722, Loss: 0.1854
Epoch 10 Batch 178/269 - Train Accuracy: 0.8800, Validation Accuracy: 0.8726, Loss: 0.1954
Epoch 10 Batch 179/269 - Train Accuracy: 0.8624, Validation Accuracy: 0.8735, Loss: 0.1832
Epoch 10 Batch 180/269 - Train Accuracy: 0.8793, Validation Accuracy: 0.8747, Loss: 0.1813
Epoch 10 Batch 181/269 - Train Accuracy: 0.8652, Validation Accuracy: 0.8730, Loss: 0.1922
Epoch 10 Batch 182/269 - Train Accuracy: 0.8680, Validation Accuracy: 0.8691, Loss: 0.1865
Epoch 10 Batch 183/269 - Train Accuracy: 0.8997, Validation Accuracy: 0.8716, Loss: 0.1603
Epoch 10 Batch 184/269 - Train Accuracy: 0.8689, Validation Accuracy: 0.8698, Loss: 0.1892
Epoch 10 Batch 185/269 - Train Accuracy: 0.8809, Validation Accuracy: 0.8612, Loss: 0.1850
Epoch 10 Batch 186/269 - Train Accuracy: 0.8711, Validation Accuracy: 0.8714, Loss: 0.1839
Epoch 10 Batch 187/269 - Train Accuracy: 0.8735, Validation Accuracy: 0.8698, Loss: 0.1815
Epoch 10 Batch 188/269 - Train Accuracy: 0.8728, Validation Accuracy: 0.8592, Loss: 0.1770
Epoch 10 Batch 189/269 - Train Accuracy: 0.8739, Validation Accuracy: 0.8653, Loss: 0.1777
Epoch 10 Batch 190/269 - Train Accuracy: 0.8806, Validation Accuracy: 0.8715, Loss: 0.1761
Epoch 10 Batch 191/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8688, Loss: 0.1821
Epoch 10 Batch 192/269 - Train Accuracy: 0.8725, Validation Accuracy: 0.8707, Loss: 0.1860
Epoch 10 Batch 193/269 - Train Accuracy: 0.8940, Validation Accuracy: 0.8738, Loss: 0.1782
Epoch 10 Batch 194/269 - Train Accuracy: 0.8752, Validation Accuracy: 0.8752, Loss: 0.1923
Epoch 10 Batch 195/269 - Train Accuracy: 0.8763, Validation Accuracy: 0.8715, Loss: 0.1813
Epoch 10 Batch 196/269 - Train Accuracy: 0.8807, Validation Accuracy: 0.8740, Loss: 0.1781
Epoch 10 Batch 197/269 - Train Accuracy: 0.8678, Validation Accuracy: 0.8665, Loss: 0.1940
Epoch 10 Batch 198/269 - Train Accuracy: 0.8663, Validation Accuracy: 0.8714, Loss: 0.1937
Epoch 10 Batch 199/269 - Train Accuracy: 0.8731, Validation Accuracy: 0.8704, Loss: 0.1963
Epoch 10 Batch 200/269 - Train Accuracy: 0.8718, Validation Accuracy: 0.8786, Loss: 0.1907
Epoch 10 Batch 201/269 - Train Accuracy: 0.8788, Validation Accuracy: 0.8784, Loss: 0.1858
Epoch 10 Batch 202/269 - Train Accuracy: 0.8720, Validation Accuracy: 0.8799, Loss: 0.1784
Epoch 10 Batch 203/269 - Train Accuracy: 0.8726, Validation Accuracy: 0.8748, Loss: 0.2047
Epoch 10 Batch 204/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8740, Loss: 0.1936
Epoch 10 Batch 205/269 - Train Accuracy: 0.8764, Validation Accuracy: 0.8762, Loss: 0.1805
Epoch 10 Batch 206/269 - Train Accuracy: 0.8602, Validation Accuracy: 0.8715, Loss: 0.1934
Epoch 10 Batch 207/269 - Train Accuracy: 0.8749, Validation Accuracy: 0.8704, Loss: 0.1877
Epoch 10 Batch 208/269 - Train Accuracy: 0.8736, Validation Accuracy: 0.8706, Loss: 0.1920
Epoch 10 Batch 209/269 - Train Accuracy: 0.8880, Validation Accuracy: 0.8678, Loss: 0.1757
Epoch 10 Batch 210/269 - Train Accuracy: 0.8729, Validation Accuracy: 0.8683, Loss: 0.1806
Epoch 10 Batch 211/269 - Train Accuracy: 0.8771, Validation Accuracy: 0.8674, Loss: 0.1898
Epoch 10 Batch 212/269 - Train Accuracy: 0.8725, Validation Accuracy: 0.8660, Loss: 0.1907
Epoch 10 Batch 213/269 - Train Accuracy: 0.8677, Validation Accuracy: 0.8669, Loss: 0.1800
Epoch 10 Batch 214/269 - Train Accuracy: 0.8636, Validation Accuracy: 0.8703, Loss: 0.1903
Epoch 10 Batch 215/269 - Train Accuracy: 0.8830, Validation Accuracy: 0.8719, Loss: 0.1704
Epoch 10 Batch 216/269 - Train Accuracy: 0.8615, Validation Accuracy: 0.8749, Loss: 0.2070
Epoch 10 Batch 217/269 - Train Accuracy: 0.8672, Validation Accuracy: 0.8734, Loss: 0.1893
Epoch 10 Batch 218/269 - Train Accuracy: 0.8840, Validation Accuracy: 0.8774, Loss: 0.1865
Epoch 10 Batch 219/269 - Train Accuracy: 0.8698, Validation Accuracy: 0.8799, Loss: 0.1921
Epoch 10 Batch 220/269 - Train Accuracy: 0.8969, Validation Accuracy: 0.8757, Loss: 0.1743
Epoch 10 Batch 221/269 - Train Accuracy: 0.8916, Validation Accuracy: 0.8857, Loss: 0.1876
Epoch 10 Batch 222/269 - Train Accuracy: 0.8994, Validation Accuracy: 0.8781, Loss: 0.1766
Epoch 10 Batch 223/269 - Train Accuracy: 0.8798, Validation Accuracy: 0.8794, Loss: 0.1787
Epoch 10 Batch 224/269 - Train Accuracy: 0.8798, Validation Accuracy: 0.8765, Loss: 0.1931
Epoch 10 Batch 225/269 - Train Accuracy: 0.8752, Validation Accuracy: 0.8770, Loss: 0.1775
Epoch 10 Batch 226/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.8761, Loss: 0.1833
Epoch 10 Batch 227/269 - Train Accuracy: 0.8957, Validation Accuracy: 0.8642, Loss: 0.1771
Epoch 10 Batch 228/269 - Train Accuracy: 0.8684, Validation Accuracy: 0.8735, Loss: 0.1866
Epoch 10 Batch 229/269 - Train Accuracy: 0.8781, Validation Accuracy: 0.8781, Loss: 0.1827
Epoch 10 Batch 230/269 - Train Accuracy: 0.8813, Validation Accuracy: 0.8635, Loss: 0.1797
Epoch 10 Batch 231/269 - Train Accuracy: 0.8760, Validation Accuracy: 0.8740, Loss: 0.1910
Epoch 10 Batch 232/269 - Train Accuracy: 0.8730, Validation Accuracy: 0.8795, Loss: 0.1839
Epoch 10 Batch 233/269 - Train Accuracy: 0.8859, Validation Accuracy: 0.8760, Loss: 0.1928
Epoch 10 Batch 234/269 - Train Accuracy: 0.8773, Validation Accuracy: 0.8754, Loss: 0.1783
Epoch 10 Batch 235/269 - Train Accuracy: 0.8963, Validation Accuracy: 0.8814, Loss: 0.1731
Epoch 10 Batch 236/269 - Train Accuracy: 0.8675, Validation Accuracy: 0.8794, Loss: 0.1779
Epoch 10 Batch 237/269 - Train Accuracy: 0.8849, Validation Accuracy: 0.8882, Loss: 0.1785
Epoch 10 Batch 238/269 - Train Accuracy: 0.8944, Validation Accuracy: 0.8835, Loss: 0.1815
Epoch 10 Batch 239/269 - Train Accuracy: 0.8747, Validation Accuracy: 0.8795, Loss: 0.1812
Epoch 10 Batch 240/269 - Train Accuracy: 0.8936, Validation Accuracy: 0.8762, Loss: 0.1696
Epoch 10 Batch 241/269 - Train Accuracy: 0.8766, Validation Accuracy: 0.8686, Loss: 0.1915
Epoch 10 Batch 242/269 - Train Accuracy: 0.8855, Validation Accuracy: 0.8654, Loss: 0.1789
Epoch 10 Batch 243/269 - Train Accuracy: 0.8811, Validation Accuracy: 0.8672, Loss: 0.1726
Epoch 10 Batch 244/269 - Train Accuracy: 0.8841, Validation Accuracy: 0.8714, Loss: 0.1772
Epoch 10 Batch 245/269 - Train Accuracy: 0.8717, Validation Accuracy: 0.8802, Loss: 0.1941
Epoch 10 Batch 246/269 - Train Accuracy: 0.8685, Validation Accuracy: 0.8710, Loss: 0.1786
Epoch 10 Batch 247/269 - Train Accuracy: 0.8774, Validation Accuracy: 0.8749, Loss: 0.1822
Epoch 10 Batch 248/269 - Train Accuracy: 0.8830, Validation Accuracy: 0.8748, Loss: 0.1757
Epoch 10 Batch 249/269 - Train Accuracy: 0.8866, Validation Accuracy: 0.8751, Loss: 0.1675
Epoch 10 Batch 250/269 - Train Accuracy: 0.8917, Validation Accuracy: 0.8809, Loss: 0.1797
Epoch 10 Batch 251/269 - Train Accuracy: 0.8947, Validation Accuracy: 0.8751, Loss: 0.1746
Epoch 10 Batch 252/269 - Train Accuracy: 0.8763, Validation Accuracy: 0.8801, Loss: 0.1721
Epoch 10 Batch 253/269 - Train Accuracy: 0.8551, Validation Accuracy: 0.8676, Loss: 0.1847
Epoch 10 Batch 254/269 - Train Accuracy: 0.8803, Validation Accuracy: 0.8620, Loss: 0.1796
Epoch 10 Batch 255/269 - Train Accuracy: 0.8890, Validation Accuracy: 0.8640, Loss: 0.1833
Epoch 10 Batch 256/269 - Train Accuracy: 0.8681, Validation Accuracy: 0.8682, Loss: 0.1832
Epoch 10 Batch 257/269 - Train Accuracy: 0.8581, Validation Accuracy: 0.8737, Loss: 0.1922
Epoch 10 Batch 258/269 - Train Accuracy: 0.8887, Validation Accuracy: 0.8702, Loss: 0.1884
Epoch 10 Batch 259/269 - Train Accuracy: 0.8862, Validation Accuracy: 0.8801, Loss: 0.1824
Epoch 10 Batch 260/269 - Train Accuracy: 0.8568, Validation Accuracy: 0.8740, Loss: 0.1920
Epoch 10 Batch 261/269 - Train Accuracy: 0.8798, Validation Accuracy: 0.8786, Loss: 0.1930
Epoch 10 Batch 262/269 - Train Accuracy: 0.8867, Validation Accuracy: 0.8755, Loss: 0.1830
Epoch 10 Batch 263/269 - Train Accuracy: 0.8820, Validation Accuracy: 0.8823, Loss: 0.1859
Epoch 10 Batch 264/269 - Train Accuracy: 0.8580, Validation Accuracy: 0.8807, Loss: 0.1872
Epoch 10 Batch 265/269 - Train Accuracy: 0.8929, Validation Accuracy: 0.8754, Loss: 0.1848
Epoch 10 Batch 266/269 - Train Accuracy: 0.8830, Validation Accuracy: 0.8724, Loss: 0.1722
Epoch 10 Batch 267/269 - Train Accuracy: 0.8827, Validation Accuracy: 0.8749, Loss: 0.1840
Epoch 11 Batch 1/269 - Train Accuracy: 0.8723, Validation Accuracy: 0.8630, Loss: 0.1765
Epoch 11 Batch 2/269 - Train Accuracy: 0.8847, Validation Accuracy: 0.8710, Loss: 0.1897
Epoch 11 Batch 3/269 - Train Accuracy: 0.8823, Validation Accuracy: 0.8749, Loss: 0.1756
Epoch 11 Batch 4/269 - Train Accuracy: 0.8554, Validation Accuracy: 0.8669, Loss: 0.1948
Epoch 11 Batch 5/269 - Train Accuracy: 0.8678, Validation Accuracy: 0.8742, Loss: 0.1912
Epoch 11 Batch 6/269 - Train Accuracy: 0.8984, Validation Accuracy: 0.8758, Loss: 0.1733
Epoch 11 Batch 7/269 - Train Accuracy: 0.8849, Validation Accuracy: 0.8645, Loss: 0.1715
Epoch 11 Batch 8/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.8731, Loss: 0.1778
Epoch 11 Batch 9/269 - Train Accuracy: 0.8690, Validation Accuracy: 0.8818, Loss: 0.1849
Epoch 11 Batch 10/269 - Train Accuracy: 0.8746, Validation Accuracy: 0.8828, Loss: 0.1823
Epoch 11 Batch 11/269 - Train Accuracy: 0.8806, Validation Accuracy: 0.8760, Loss: 0.1840
Epoch 11 Batch 12/269 - Train Accuracy: 0.8753, Validation Accuracy: 0.8766, Loss: 0.1921
Epoch 11 Batch 13/269 - Train Accuracy: 0.8769, Validation Accuracy: 0.8711, Loss: 0.1617
Epoch 11 Batch 14/269 - Train Accuracy: 0.8715, Validation Accuracy: 0.8734, Loss: 0.1784
Epoch 11 Batch 15/269 - Train Accuracy: 0.8794, Validation Accuracy: 0.8798, Loss: 0.1644
Epoch 11 Batch 16/269 - Train Accuracy: 0.8686, Validation Accuracy: 0.8849, Loss: 0.1947
Epoch 11 Batch 17/269 - Train Accuracy: 0.8839, Validation Accuracy: 0.8803, Loss: 0.1687
Epoch 11 Batch 18/269 - Train Accuracy: 0.8832, Validation Accuracy: 0.8849, Loss: 0.1812
Epoch 11 Batch 19/269 - Train Accuracy: 0.8879, Validation Accuracy: 0.8860, Loss: 0.1654
Epoch 11 Batch 20/269 - Train Accuracy: 0.8895, Validation Accuracy: 0.8845, Loss: 0.1795
Epoch 11 Batch 21/269 - Train Accuracy: 0.8665, Validation Accuracy: 0.8737, Loss: 0.1945
Epoch 11 Batch 22/269 - Train Accuracy: 0.8864, Validation Accuracy: 0.8736, Loss: 0.1699
Epoch 11 Batch 23/269 - Train Accuracy: 0.8743, Validation Accuracy: 0.8837, Loss: 0.1835
Epoch 11 Batch 24/269 - Train Accuracy: 0.8870, Validation Accuracy: 0.8833, Loss: 0.1793
Epoch 11 Batch 25/269 - Train Accuracy: 0.8810, Validation Accuracy: 0.8764, Loss: 0.1920
Epoch 11 Batch 26/269 - Train Accuracy: 0.8886, Validation Accuracy: 0.8817, Loss: 0.1611
Epoch 11 Batch 27/269 - Train Accuracy: 0.8836, Validation Accuracy: 0.8797, Loss: 0.1724
Epoch 11 Batch 28/269 - Train Accuracy: 0.8401, Validation Accuracy: 0.8715, Loss: 0.1890
Epoch 11 Batch 29/269 - Train Accuracy: 0.8955, Validation Accuracy: 0.8762, Loss: 0.1797
Epoch 11 Batch 30/269 - Train Accuracy: 0.8832, Validation Accuracy: 0.8769, Loss: 0.1758
Epoch 11 Batch 31/269 - Train Accuracy: 0.8771, Validation Accuracy: 0.8878, Loss: 0.1698
Epoch 11 Batch 32/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.8725, Loss: 0.1754
Epoch 11 Batch 33/269 - Train Accuracy: 0.8685, Validation Accuracy: 0.8676, Loss: 0.1602
Epoch 11 Batch 34/269 - Train Accuracy: 0.8837, Validation Accuracy: 0.8824, Loss: 0.1746
Epoch 11 Batch 35/269 - Train Accuracy: 0.8716, Validation Accuracy: 0.8858, Loss: 0.1850
Epoch 11 Batch 36/269 - Train Accuracy: 0.8579, Validation Accuracy: 0.8871, Loss: 0.1886
Epoch 11 Batch 37/269 - Train Accuracy: 0.8741, Validation Accuracy: 0.8848, Loss: 0.1723
Epoch 11 Batch 38/269 - Train Accuracy: 0.8748, Validation Accuracy: 0.8774, Loss: 0.1798
Epoch 11 Batch 39/269 - Train Accuracy: 0.8738, Validation Accuracy: 0.8767, Loss: 0.1730
Epoch 11 Batch 40/269 - Train Accuracy: 0.8753, Validation Accuracy: 0.8835, Loss: 0.1868
Epoch 11 Batch 41/269 - Train Accuracy: 0.8780, Validation Accuracy: 0.8850, Loss: 0.1837
Epoch 11 Batch 42/269 - Train Accuracy: 0.8874, Validation Accuracy: 0.8687, Loss: 0.1682
Epoch 11 Batch 43/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.8866, Loss: 0.1889
Epoch 11 Batch 44/269 - Train Accuracy: 0.8820, Validation Accuracy: 0.8875, Loss: 0.1757
Epoch 11 Batch 45/269 - Train Accuracy: 0.8759, Validation Accuracy: 0.8787, Loss: 0.1777
Epoch 11 Batch 46/269 - Train Accuracy: 0.8936, Validation Accuracy: 0.8872, Loss: 0.1799
Epoch 11 Batch 47/269 - Train Accuracy: 0.8989, Validation Accuracy: 0.8848, Loss: 0.1568
Epoch 11 Batch 48/269 - Train Accuracy: 0.9010, Validation Accuracy: 0.8808, Loss: 0.1700
Epoch 11 Batch 49/269 - Train Accuracy: 0.8771, Validation Accuracy: 0.8839, Loss: 0.1744
Epoch 11 Batch 50/269 - Train Accuracy: 0.8590, Validation Accuracy: 0.8788, Loss: 0.1850
Epoch 11 Batch 51/269 - Train Accuracy: 0.8888, Validation Accuracy: 0.8777, Loss: 0.1762
Epoch 11 Batch 52/269 - Train Accuracy: 0.8721, Validation Accuracy: 0.8687, Loss: 0.1584
Epoch 11 Batch 53/269 - Train Accuracy: 0.8833, Validation Accuracy: 0.8782, Loss: 0.1909
Epoch 11 Batch 54/269 - Train Accuracy: 0.8903, Validation Accuracy: 0.8858, Loss: 0.1664
Epoch 11 Batch 55/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.8712, Loss: 0.1731
Epoch 11 Batch 56/269 - Train Accuracy: 0.8837, Validation Accuracy: 0.8733, Loss: 0.1709
Epoch 11 Batch 57/269 - Train Accuracy: 0.8926, Validation Accuracy: 0.8743, Loss: 0.1828
Epoch 11 Batch 58/269 - Train Accuracy: 0.8881, Validation Accuracy: 0.8788, Loss: 0.1694
Epoch 11 Batch 59/269 - Train Accuracy: 0.8917, Validation Accuracy: 0.8868, Loss: 0.1510
Epoch 11 Batch 60/269 - Train Accuracy: 0.8870, Validation Accuracy: 0.8882, Loss: 0.1647
Epoch 11 Batch 61/269 - Train Accuracy: 0.8933, Validation Accuracy: 0.8884, Loss: 0.1594
Epoch 11 Batch 62/269 - Train Accuracy: 0.8871, Validation Accuracy: 0.8827, Loss: 0.1715
Epoch 11 Batch 63/269 - Train Accuracy: 0.8749, Validation Accuracy: 0.8916, Loss: 0.1826
Epoch 11 Batch 64/269 - Train Accuracy: 0.8976, Validation Accuracy: 0.8922, Loss: 0.1681
Epoch 11 Batch 65/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.8878, Loss: 0.1692
Epoch 11 Batch 66/269 - Train Accuracy: 0.8825, Validation Accuracy: 0.8841, Loss: 0.1674
Epoch 11 Batch 67/269 - Train Accuracy: 0.8879, Validation Accuracy: 0.8882, Loss: 0.1792
Epoch 11 Batch 68/269 - Train Accuracy: 0.8713, Validation Accuracy: 0.8839, Loss: 0.1869
Epoch 11 Batch 69/269 - Train Accuracy: 0.8634, Validation Accuracy: 0.8857, Loss: 0.1911
Epoch 11 Batch 70/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.8897, Loss: 0.1713
Epoch 11 Batch 71/269 - Train Accuracy: 0.8818, Validation Accuracy: 0.8839, Loss: 0.1812
Epoch 11 Batch 72/269 - Train Accuracy: 0.8716, Validation Accuracy: 0.8884, Loss: 0.1742
Epoch 11 Batch 73/269 - Train Accuracy: 0.8784, Validation Accuracy: 0.8854, Loss: 0.1845
Epoch 11 Batch 74/269 - Train Accuracy: 0.8889, Validation Accuracy: 0.8713, Loss: 0.1622
Epoch 11 Batch 75/269 - Train Accuracy: 0.8943, Validation Accuracy: 0.8743, Loss: 0.1694
Epoch 11 Batch 76/269 - Train Accuracy: 0.8709, Validation Accuracy: 0.8808, Loss: 0.1703
Epoch 11 Batch 77/269 - Train Accuracy: 0.8834, Validation Accuracy: 0.8802, Loss: 0.1686
Epoch 11 Batch 78/269 - Train Accuracy: 0.8988, Validation Accuracy: 0.8813, Loss: 0.1650
Epoch 11 Batch 79/269 - Train Accuracy: 0.8857, Validation Accuracy: 0.8818, Loss: 0.1675
Epoch 11 Batch 80/269 - Train Accuracy: 0.8824, Validation Accuracy: 0.8800, Loss: 0.1705
Epoch 11 Batch 81/269 - Train Accuracy: 0.8772, Validation Accuracy: 0.8873, Loss: 0.1790
Epoch 11 Batch 82/269 - Train Accuracy: 0.9087, Validation Accuracy: 0.8843, Loss: 0.1547
Epoch 11 Batch 83/269 - Train Accuracy: 0.8681, Validation Accuracy: 0.8865, Loss: 0.1773
Epoch 11 Batch 84/269 - Train Accuracy: 0.8986, Validation Accuracy: 0.8778, Loss: 0.1697
Epoch 11 Batch 85/269 - Train Accuracy: 0.8921, Validation Accuracy: 0.8812, Loss: 0.1675
Epoch 11 Batch 86/269 - Train Accuracy: 0.8800, Validation Accuracy: 0.8882, Loss: 0.1613
Epoch 11 Batch 87/269 - Train Accuracy: 0.8790, Validation Accuracy: 0.8833, Loss: 0.1868
Epoch 11 Batch 88/269 - Train Accuracy: 0.8654, Validation Accuracy: 0.8805, Loss: 0.1835
Epoch 11 Batch 89/269 - Train Accuracy: 0.8987, Validation Accuracy: 0.8859, Loss: 0.1734
Epoch 11 Batch 90/269 - Train Accuracy: 0.8715, Validation Accuracy: 0.8784, Loss: 0.1809
Epoch 11 Batch 91/269 - Train Accuracy: 0.8939, Validation Accuracy: 0.8656, Loss: 0.1626
Epoch 11 Batch 92/269 - Train Accuracy: 0.8916, Validation Accuracy: 0.8738, Loss: 0.1650
Epoch 11 Batch 93/269 - Train Accuracy: 0.8884, Validation Accuracy: 0.8844, Loss: 0.1631
Epoch 11 Batch 94/269 - Train Accuracy: 0.8783, Validation Accuracy: 0.8743, Loss: 0.1875
Epoch 11 Batch 95/269 - Train Accuracy: 0.8879, Validation Accuracy: 0.8688, Loss: 0.1649
Epoch 11 Batch 96/269 - Train Accuracy: 0.8802, Validation Accuracy: 0.8804, Loss: 0.1728
Epoch 11 Batch 97/269 - Train Accuracy: 0.8821, Validation Accuracy: 0.8809, Loss: 0.1681
Epoch 11 Batch 98/269 - Train Accuracy: 0.8754, Validation Accuracy: 0.8674, Loss: 0.1718
Epoch 11 Batch 99/269 - Train Accuracy: 0.8760, Validation Accuracy: 0.8779, Loss: 0.1743
Epoch 11 Batch 100/269 - Train Accuracy: 0.8914, Validation Accuracy: 0.8864, Loss: 0.1698
Epoch 11 Batch 101/269 - Train Accuracy: 0.8680, Validation Accuracy: 0.8788, Loss: 0.1944
Epoch 11 Batch 102/269 - Train Accuracy: 0.8801, Validation Accuracy: 0.8782, Loss: 0.1668
Epoch 11 Batch 103/269 - Train Accuracy: 0.8978, Validation Accuracy: 0.8860, Loss: 0.1689
Epoch 11 Batch 104/269 - Train Accuracy: 0.8867, Validation Accuracy: 0.8817, Loss: 0.1744
Epoch 11 Batch 105/269 - Train Accuracy: 0.8713, Validation Accuracy: 0.8835, Loss: 0.1715
Epoch 11 Batch 106/269 - Train Accuracy: 0.8957, Validation Accuracy: 0.8832, Loss: 0.1686
Epoch 11 Batch 107/269 - Train Accuracy: 0.8971, Validation Accuracy: 0.8883, Loss: 0.1718
Epoch 11 Batch 108/269 - Train Accuracy: 0.8963, Validation Accuracy: 0.8859, Loss: 0.1689
Epoch 11 Batch 109/269 - Train Accuracy: 0.8755, Validation Accuracy: 0.8760, Loss: 0.1739
Epoch 11 Batch 110/269 - Train Accuracy: 0.8916, Validation Accuracy: 0.8739, Loss: 0.1611
Epoch 11 Batch 111/269 - Train Accuracy: 0.8792, Validation Accuracy: 0.8760, Loss: 0.1817
Epoch 11 Batch 112/269 - Train Accuracy: 0.8877, Validation Accuracy: 0.8798, Loss: 0.1717
Epoch 11 Batch 113/269 - Train Accuracy: 0.8784, Validation Accuracy: 0.8788, Loss: 0.1660
Epoch 11 Batch 114/269 - Train Accuracy: 0.8999, Validation Accuracy: 0.8796, Loss: 0.1676
Epoch 11 Batch 115/269 - Train Accuracy: 0.8766, Validation Accuracy: 0.8738, Loss: 0.1668
Epoch 11 Batch 116/269 - Train Accuracy: 0.8992, Validation Accuracy: 0.8759, Loss: 0.1710
Epoch 11 Batch 117/269 - Train Accuracy: 0.8777, Validation Accuracy: 0.8830, Loss: 0.1653
Epoch 11 Batch 118/269 - Train Accuracy: 0.8983, Validation Accuracy: 0.8864, Loss: 0.1518
Epoch 11 Batch 119/269 - Train Accuracy: 0.8754, Validation Accuracy: 0.8859, Loss: 0.1841
Epoch 11 Batch 120/269 - Train Accuracy: 0.8871, Validation Accuracy: 0.8742, Loss: 0.1705
Epoch 11 Batch 121/269 - Train Accuracy: 0.8848, Validation Accuracy: 0.8847, Loss: 0.1596
Epoch 11 Batch 122/269 - Train Accuracy: 0.8755, Validation Accuracy: 0.8855, Loss: 0.1614
Epoch 11 Batch 123/269 - Train Accuracy: 0.8812, Validation Accuracy: 0.8809, Loss: 0.1776
Epoch 11 Batch 124/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.8722, Loss: 0.1586
Epoch 11 Batch 125/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.8841, Loss: 0.1618
Epoch 11 Batch 126/269 - Train Accuracy: 0.8717, Validation Accuracy: 0.8833, Loss: 0.1642
Epoch 11 Batch 127/269 - Train Accuracy: 0.8807, Validation Accuracy: 0.8817, Loss: 0.1816
Epoch 11 Batch 128/269 - Train Accuracy: 0.8803, Validation Accuracy: 0.8667, Loss: 0.1662
Epoch 11 Batch 129/269 - Train Accuracy: 0.8744, Validation Accuracy: 0.8689, Loss: 0.1659
Epoch 11 Batch 130/269 - Train Accuracy: 0.8968, Validation Accuracy: 0.8860, Loss: 0.1727
Epoch 11 Batch 131/269 - Train Accuracy: 0.8792, Validation Accuracy: 0.8893, Loss: 0.1689
Epoch 11 Batch 132/269 - Train Accuracy: 0.8767, Validation Accuracy: 0.8778, Loss: 0.1719
Epoch 11 Batch 133/269 - Train Accuracy: 0.8973, Validation Accuracy: 0.8857, Loss: 0.1586
Epoch 11 Batch 134/269 - Train Accuracy: 0.8788, Validation Accuracy: 0.8846, Loss: 0.1679
Epoch 11 Batch 135/269 - Train Accuracy: 0.8919, Validation Accuracy: 0.8886, Loss: 0.1721
Epoch 11 Batch 136/269 - Train Accuracy: 0.8732, Validation Accuracy: 0.8837, Loss: 0.1767
Epoch 11 Batch 137/269 - Train Accuracy: 0.8718, Validation Accuracy: 0.8783, Loss: 0.1848
Epoch 11 Batch 138/269 - Train Accuracy: 0.8839, Validation Accuracy: 0.8771, Loss: 0.1616
Epoch 11 Batch 139/269 - Train Accuracy: 0.8855, Validation Accuracy: 0.8794, Loss: 0.1597
Epoch 11 Batch 140/269 - Train Accuracy: 0.8882, Validation Accuracy: 0.8741, Loss: 0.1762
Epoch 11 Batch 141/269 - Train Accuracy: 0.8846, Validation Accuracy: 0.8750, Loss: 0.1735
Epoch 11 Batch 142/269 - Train Accuracy: 0.8756, Validation Accuracy: 0.8879, Loss: 0.1582
Epoch 11 Batch 143/269 - Train Accuracy: 0.8933, Validation Accuracy: 0.8857, Loss: 0.1589
Epoch 11 Batch 144/269 - Train Accuracy: 0.8851, Validation Accuracy: 0.8841, Loss: 0.1542
Epoch 11 Batch 145/269 - Train Accuracy: 0.8891, Validation Accuracy: 0.8878, Loss: 0.1607
Epoch 11 Batch 146/269 - Train Accuracy: 0.8876, Validation Accuracy: 0.8865, Loss: 0.1585
Epoch 11 Batch 147/269 - Train Accuracy: 0.8905, Validation Accuracy: 0.8927, Loss: 0.1605
Epoch 11 Batch 148/269 - Train Accuracy: 0.8758, Validation Accuracy: 0.8887, Loss: 0.1707
Epoch 11 Batch 149/269 - Train Accuracy: 0.8722, Validation Accuracy: 0.8801, Loss: 0.1728
Epoch 11 Batch 150/269 - Train Accuracy: 0.8864, Validation Accuracy: 0.8862, Loss: 0.1686
Epoch 11 Batch 151/269 - Train Accuracy: 0.8881, Validation Accuracy: 0.8835, Loss: 0.1654
Epoch 11 Batch 152/269 - Train Accuracy: 0.8877, Validation Accuracy: 0.8938, Loss: 0.1672
Epoch 11 Batch 153/269 - Train Accuracy: 0.8962, Validation Accuracy: 0.8896, Loss: 0.1605
Epoch 11 Batch 154/269 - Train Accuracy: 0.8999, Validation Accuracy: 0.8861, Loss: 0.1654
Epoch 11 Batch 155/269 - Train Accuracy: 0.8805, Validation Accuracy: 0.8848, Loss: 0.1531
Epoch 11 Batch 156/269 - Train Accuracy: 0.8802, Validation Accuracy: 0.8877, Loss: 0.1672
Epoch 11 Batch 157/269 - Train Accuracy: 0.8649, Validation Accuracy: 0.8837, Loss: 0.1560
Epoch 11 Batch 158/269 - Train Accuracy: 0.8846, Validation Accuracy: 0.8858, Loss: 0.1621
Epoch 11 Batch 159/269 - Train Accuracy: 0.8813, Validation Accuracy: 0.8926, Loss: 0.1651
Epoch 11 Batch 160/269 - Train Accuracy: 0.9010, Validation Accuracy: 0.8956, Loss: 0.1628
Epoch 11 Batch 161/269 - Train Accuracy: 0.8891, Validation Accuracy: 0.8932, Loss: 0.1604
Epoch 11 Batch 162/269 - Train Accuracy: 0.8949, Validation Accuracy: 0.8911, Loss: 0.1565
Epoch 11 Batch 163/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.8946, Loss: 0.1687
Epoch 11 Batch 164/269 - Train Accuracy: 0.8979, Validation Accuracy: 0.8920, Loss: 0.1631
Epoch 11 Batch 165/269 - Train Accuracy: 0.8958, Validation Accuracy: 0.8863, Loss: 0.1637
Epoch 11 Batch 166/269 - Train Accuracy: 0.8891, Validation Accuracy: 0.8850, Loss: 0.1591
Epoch 11 Batch 167/269 - Train Accuracy: 0.8991, Validation Accuracy: 0.8909, Loss: 0.1633
Epoch 11 Batch 168/269 - Train Accuracy: 0.8831, Validation Accuracy: 0.8875, Loss: 0.1679
Epoch 11 Batch 169/269 - Train Accuracy: 0.8837, Validation Accuracy: 0.8924, Loss: 0.1674
Epoch 11 Batch 170/269 - Train Accuracy: 0.8810, Validation Accuracy: 0.8866, Loss: 0.1599
Epoch 11 Batch 171/269 - Train Accuracy: 0.8935, Validation Accuracy: 0.8859, Loss: 0.1652
Epoch 11 Batch 172/269 - Train Accuracy: 0.8761, Validation Accuracy: 0.8811, Loss: 0.1750
Epoch 11 Batch 173/269 - Train Accuracy: 0.8846, Validation Accuracy: 0.8779, Loss: 0.1569
Epoch 11 Batch 174/269 - Train Accuracy: 0.8865, Validation Accuracy: 0.8804, Loss: 0.1619
Epoch 11 Batch 175/269 - Train Accuracy: 0.8794, Validation Accuracy: 0.8849, Loss: 0.1858
Epoch 11 Batch 176/269 - Train Accuracy: 0.8750, Validation Accuracy: 0.8896, Loss: 0.1782
Epoch 11 Batch 177/269 - Train Accuracy: 0.8958, Validation Accuracy: 0.8809, Loss: 0.1552
Epoch 11 Batch 178/269 - Train Accuracy: 0.8979, Validation Accuracy: 0.8881, Loss: 0.1619
Epoch 11 Batch 179/269 - Train Accuracy: 0.8929, Validation Accuracy: 0.8934, Loss: 0.1609
Epoch 11 Batch 180/269 - Train Accuracy: 0.8974, Validation Accuracy: 0.8933, Loss: 0.1579
Epoch 11 Batch 181/269 - Train Accuracy: 0.8820, Validation Accuracy: 0.8847, Loss: 0.1690
Epoch 11 Batch 182/269 - Train Accuracy: 0.8814, Validation Accuracy: 0.8840, Loss: 0.1638
Epoch 11 Batch 183/269 - Train Accuracy: 0.9028, Validation Accuracy: 0.8823, Loss: 0.1424
Epoch 11 Batch 184/269 - Train Accuracy: 0.8849, Validation Accuracy: 0.8836, Loss: 0.1693
Epoch 11 Batch 185/269 - Train Accuracy: 0.8973, Validation Accuracy: 0.8718, Loss: 0.1585
Epoch 11 Batch 186/269 - Train Accuracy: 0.8902, Validation Accuracy: 0.8785, Loss: 0.1624
Epoch 11 Batch 187/269 - Train Accuracy: 0.8964, Validation Accuracy: 0.8923, Loss: 0.1551
Epoch 11 Batch 188/269 - Train Accuracy: 0.8891, Validation Accuracy: 0.8849, Loss: 0.1529
Epoch 11 Batch 189/269 - Train Accuracy: 0.8876, Validation Accuracy: 0.8761, Loss: 0.1543
Epoch 11 Batch 190/269 - Train Accuracy: 0.8951, Validation Accuracy: 0.8940, Loss: 0.1554
Epoch 11 Batch 191/269 - Train Accuracy: 0.8785, Validation Accuracy: 0.8896, Loss: 0.1599
Epoch 11 Batch 192/269 - Train Accuracy: 0.8928, Validation Accuracy: 0.8932, Loss: 0.1652
Epoch 11 Batch 193/269 - Train Accuracy: 0.9021, Validation Accuracy: 0.8912, Loss: 0.1533
Epoch 11 Batch 194/269 - Train Accuracy: 0.8890, Validation Accuracy: 0.8898, Loss: 0.1666
Epoch 11 Batch 195/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.8944, Loss: 0.1578
Epoch 11 Batch 196/269 - Train Accuracy: 0.8935, Validation Accuracy: 0.8981, Loss: 0.1528
Epoch 11 Batch 197/269 - Train Accuracy: 0.8929, Validation Accuracy: 0.8848, Loss: 0.1636
Epoch 11 Batch 198/269 - Train Accuracy: 0.8831, Validation Accuracy: 0.8778, Loss: 0.1689
Epoch 11 Batch 199/269 - Train Accuracy: 0.8988, Validation Accuracy: 0.8746, Loss: 0.1697
Epoch 11 Batch 200/269 - Train Accuracy: 0.8855, Validation Accuracy: 0.8909, Loss: 0.1598
Epoch 11 Batch 201/269 - Train Accuracy: 0.9007, Validation Accuracy: 0.8945, Loss: 0.1644
Epoch 11 Batch 202/269 - Train Accuracy: 0.8871, Validation Accuracy: 0.8980, Loss: 0.1631
Epoch 11 Batch 203/269 - Train Accuracy: 0.8780, Validation Accuracy: 0.8858, Loss: 0.1719
Epoch 11 Batch 204/269 - Train Accuracy: 0.8805, Validation Accuracy: 0.8872, Loss: 0.1660
Epoch 11 Batch 205/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9010, Loss: 0.1636
Epoch 11 Batch 206/269 - Train Accuracy: 0.8715, Validation Accuracy: 0.8930, Loss: 0.1685
Epoch 11 Batch 207/269 - Train Accuracy: 0.8862, Validation Accuracy: 0.8879, Loss: 0.1545
Epoch 11 Batch 208/269 - Train Accuracy: 0.8870, Validation Accuracy: 0.8950, Loss: 0.1613
Epoch 11 Batch 209/269 - Train Accuracy: 0.9072, Validation Accuracy: 0.8960, Loss: 0.1491
Epoch 11 Batch 210/269 - Train Accuracy: 0.8842, Validation Accuracy: 0.8944, Loss: 0.1543
Epoch 11 Batch 211/269 - Train Accuracy: 0.8877, Validation Accuracy: 0.8893, Loss: 0.1632
Epoch 11 Batch 212/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.8786, Loss: 0.1632
Epoch 11 Batch 213/269 - Train Accuracy: 0.8881, Validation Accuracy: 0.8827, Loss: 0.1555
Epoch 11 Batch 214/269 - Train Accuracy: 0.8757, Validation Accuracy: 0.8910, Loss: 0.1643
Epoch 11 Batch 215/269 - Train Accuracy: 0.9004, Validation Accuracy: 0.8914, Loss: 0.1513
Epoch 11 Batch 216/269 - Train Accuracy: 0.8663, Validation Accuracy: 0.8793, Loss: 0.1725
Epoch 11 Batch 217/269 - Train Accuracy: 0.8803, Validation Accuracy: 0.8920, Loss: 0.1699
Epoch 11 Batch 218/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9026, Loss: 0.1578
Epoch 11 Batch 219/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.8991, Loss: 0.1656
Epoch 11 Batch 220/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.8939, Loss: 0.1502
Epoch 11 Batch 221/269 - Train Accuracy: 0.8975, Validation Accuracy: 0.8913, Loss: 0.1683
Epoch 11 Batch 222/269 - Train Accuracy: 0.9124, Validation Accuracy: 0.8940, Loss: 0.1511
Epoch 11 Batch 223/269 - Train Accuracy: 0.8783, Validation Accuracy: 0.8975, Loss: 0.1551
Epoch 11 Batch 224/269 - Train Accuracy: 0.8961, Validation Accuracy: 0.8993, Loss: 0.1695
Epoch 11 Batch 225/269 - Train Accuracy: 0.8834, Validation Accuracy: 0.8966, Loss: 0.1512
Epoch 11 Batch 226/269 - Train Accuracy: 0.8870, Validation Accuracy: 0.8866, Loss: 0.1607
Epoch 11 Batch 227/269 - Train Accuracy: 0.9059, Validation Accuracy: 0.8801, Loss: 0.1550
Epoch 11 Batch 228/269 - Train Accuracy: 0.8858, Validation Accuracy: 0.8926, Loss: 0.1594
Epoch 11 Batch 229/269 - Train Accuracy: 0.8885, Validation Accuracy: 0.8958, Loss: 0.1520
Epoch 11 Batch 230/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.8813, Loss: 0.1623
Epoch 11 Batch 231/269 - Train Accuracy: 0.8850, Validation Accuracy: 0.8779, Loss: 0.1634
Epoch 11 Batch 232/269 - Train Accuracy: 0.8871, Validation Accuracy: 0.8920, Loss: 0.1662
Epoch 11 Batch 233/269 - Train Accuracy: 0.9068, Validation Accuracy: 0.8917, Loss: 0.1597
Epoch 11 Batch 234/269 - Train Accuracy: 0.8898, Validation Accuracy: 0.8786, Loss: 0.1572
Epoch 11 Batch 235/269 - Train Accuracy: 0.8903, Validation Accuracy: 0.8780, Loss: 0.1417
Epoch 11 Batch 236/269 - Train Accuracy: 0.8824, Validation Accuracy: 0.8950, Loss: 0.1562
Epoch 11 Batch 237/269 - Train Accuracy: 0.8975, Validation Accuracy: 0.8886, Loss: 0.1537
Epoch 11 Batch 238/269 - Train Accuracy: 0.9066, Validation Accuracy: 0.8918, Loss: 0.1561
Epoch 11 Batch 239/269 - Train Accuracy: 0.8813, Validation Accuracy: 0.8964, Loss: 0.1564
Epoch 11 Batch 240/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.8980, Loss: 0.1421
Epoch 11 Batch 241/269 - Train Accuracy: 0.8900, Validation Accuracy: 0.9005, Loss: 0.1714
Epoch 11 Batch 242/269 - Train Accuracy: 0.9046, Validation Accuracy: 0.8887, Loss: 0.1494
Epoch 11 Batch 243/269 - Train Accuracy: 0.8973, Validation Accuracy: 0.8833, Loss: 0.1471
Epoch 11 Batch 244/269 - Train Accuracy: 0.8920, Validation Accuracy: 0.8896, Loss: 0.1534
Epoch 11 Batch 245/269 - Train Accuracy: 0.8788, Validation Accuracy: 0.8928, Loss: 0.1659
Epoch 11 Batch 246/269 - Train Accuracy: 0.8910, Validation Accuracy: 0.8967, Loss: 0.1572
Epoch 11 Batch 247/269 - Train Accuracy: 0.8991, Validation Accuracy: 0.9038, Loss: 0.1585
Epoch 11 Batch 248/269 - Train Accuracy: 0.8892, Validation Accuracy: 0.8991, Loss: 0.1504
Epoch 11 Batch 249/269 - Train Accuracy: 0.8942, Validation Accuracy: 0.8871, Loss: 0.1455
Epoch 11 Batch 250/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.8949, Loss: 0.1571
Epoch 11 Batch 251/269 - Train Accuracy: 0.9078, Validation Accuracy: 0.9009, Loss: 0.1568
Epoch 11 Batch 252/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.8960, Loss: 0.1499
Epoch 11 Batch 253/269 - Train Accuracy: 0.8680, Validation Accuracy: 0.8820, Loss: 0.1566
Epoch 11 Batch 254/269 - Train Accuracy: 0.8842, Validation Accuracy: 0.8863, Loss: 0.1537
Epoch 11 Batch 255/269 - Train Accuracy: 0.9013, Validation Accuracy: 0.8972, Loss: 0.1547
Epoch 11 Batch 256/269 - Train Accuracy: 0.8890, Validation Accuracy: 0.9092, Loss: 0.1530
Epoch 11 Batch 257/269 - Train Accuracy: 0.8847, Validation Accuracy: 0.9055, Loss: 0.1594
Epoch 11 Batch 258/269 - Train Accuracy: 0.8937, Validation Accuracy: 0.8936, Loss: 0.1603
Epoch 11 Batch 259/269 - Train Accuracy: 0.8927, Validation Accuracy: 0.8947, Loss: 0.1534
Epoch 11 Batch 260/269 - Train Accuracy: 0.8753, Validation Accuracy: 0.9031, Loss: 0.1678
Epoch 11 Batch 261/269 - Train Accuracy: 0.8931, Validation Accuracy: 0.9084, Loss: 0.1622
Epoch 11 Batch 262/269 - Train Accuracy: 0.8980, Validation Accuracy: 0.9016, Loss: 0.1657
Epoch 11 Batch 263/269 - Train Accuracy: 0.8899, Validation Accuracy: 0.8938, Loss: 0.1576
Epoch 11 Batch 264/269 - Train Accuracy: 0.8670, Validation Accuracy: 0.9018, Loss: 0.1693
Epoch 11 Batch 265/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.8944, Loss: 0.1534
Epoch 11 Batch 266/269 - Train Accuracy: 0.8969, Validation Accuracy: 0.8981, Loss: 0.1523
Epoch 11 Batch 267/269 - Train Accuracy: 0.8858, Validation Accuracy: 0.8960, Loss: 0.1591
Epoch 12 Batch 1/269 - Train Accuracy: 0.8970, Validation Accuracy: 0.8957, Loss: 0.1565
Epoch 12 Batch 2/269 - Train Accuracy: 0.8951, Validation Accuracy: 0.9007, Loss: 0.1646
Epoch 12 Batch 3/269 - Train Accuracy: 0.9006, Validation Accuracy: 0.8936, Loss: 0.1498
Epoch 12 Batch 4/269 - Train Accuracy: 0.8829, Validation Accuracy: 0.8807, Loss: 0.1610
Epoch 12 Batch 5/269 - Train Accuracy: 0.8896, Validation Accuracy: 0.8896, Loss: 0.1629
Epoch 12 Batch 6/269 - Train Accuracy: 0.9118, Validation Accuracy: 0.8956, Loss: 0.1461
Epoch 12 Batch 7/269 - Train Accuracy: 0.8961, Validation Accuracy: 0.8958, Loss: 0.1485
Epoch 12 Batch 8/269 - Train Accuracy: 0.9176, Validation Accuracy: 0.9032, Loss: 0.1607
Epoch 12 Batch 9/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9080, Loss: 0.1608
Epoch 12 Batch 10/269 - Train Accuracy: 0.8843, Validation Accuracy: 0.9055, Loss: 0.1480
Epoch 12 Batch 11/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.9014, Loss: 0.1626
Epoch 12 Batch 12/269 - Train Accuracy: 0.8854, Validation Accuracy: 0.9024, Loss: 0.1654
Epoch 12 Batch 13/269 - Train Accuracy: 0.8889, Validation Accuracy: 0.8962, Loss: 0.1381
Epoch 12 Batch 14/269 - Train Accuracy: 0.8866, Validation Accuracy: 0.8849, Loss: 0.1545
Epoch 12 Batch 15/269 - Train Accuracy: 0.8995, Validation Accuracy: 0.9011, Loss: 0.1416
Epoch 12 Batch 16/269 - Train Accuracy: 0.8876, Validation Accuracy: 0.8960, Loss: 0.1558
Epoch 12 Batch 17/269 - Train Accuracy: 0.8958, Validation Accuracy: 0.8996, Loss: 0.1465
Epoch 12 Batch 18/269 - Train Accuracy: 0.8890, Validation Accuracy: 0.8927, Loss: 0.1605
Epoch 12 Batch 19/269 - Train Accuracy: 0.9034, Validation Accuracy: 0.8987, Loss: 0.1348
Epoch 12 Batch 20/269 - Train Accuracy: 0.8956, Validation Accuracy: 0.8935, Loss: 0.1561
Epoch 12 Batch 21/269 - Train Accuracy: 0.8769, Validation Accuracy: 0.8983, Loss: 0.1649
Epoch 12 Batch 22/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.8995, Loss: 0.1440
Epoch 12 Batch 23/269 - Train Accuracy: 0.8844, Validation Accuracy: 0.9039, Loss: 0.1552
Epoch 12 Batch 24/269 - Train Accuracy: 0.8847, Validation Accuracy: 0.9001, Loss: 0.1467
Epoch 12 Batch 25/269 - Train Accuracy: 0.8887, Validation Accuracy: 0.9003, Loss: 0.1627
Epoch 12 Batch 26/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.8967, Loss: 0.1391
Epoch 12 Batch 27/269 - Train Accuracy: 0.8903, Validation Accuracy: 0.9050, Loss: 0.1511
Epoch 12 Batch 28/269 - Train Accuracy: 0.8697, Validation Accuracy: 0.9034, Loss: 0.1662
Epoch 12 Batch 29/269 - Train Accuracy: 0.9042, Validation Accuracy: 0.8982, Loss: 0.1557
Epoch 12 Batch 30/269 - Train Accuracy: 0.9055, Validation Accuracy: 0.9115, Loss: 0.1423
Epoch 12 Batch 31/269 - Train Accuracy: 0.9059, Validation Accuracy: 0.9086, Loss: 0.1426
Epoch 12 Batch 32/269 - Train Accuracy: 0.8999, Validation Accuracy: 0.9063, Loss: 0.1438
Epoch 12 Batch 33/269 - Train Accuracy: 0.8982, Validation Accuracy: 0.9051, Loss: 0.1355
Epoch 12 Batch 34/269 - Train Accuracy: 0.9051, Validation Accuracy: 0.8970, Loss: 0.1470
Epoch 12 Batch 35/269 - Train Accuracy: 0.8805, Validation Accuracy: 0.8929, Loss: 0.1579
Epoch 12 Batch 36/269 - Train Accuracy: 0.8749, Validation Accuracy: 0.9032, Loss: 0.1507
Epoch 12 Batch 37/269 - Train Accuracy: 0.8989, Validation Accuracy: 0.9051, Loss: 0.1499
Epoch 12 Batch 38/269 - Train Accuracy: 0.8978, Validation Accuracy: 0.9011, Loss: 0.1551
Epoch 12 Batch 39/269 - Train Accuracy: 0.8951, Validation Accuracy: 0.9002, Loss: 0.1431
Epoch 12 Batch 40/269 - Train Accuracy: 0.8866, Validation Accuracy: 0.8982, Loss: 0.1502
Epoch 12 Batch 41/269 - Train Accuracy: 0.8923, Validation Accuracy: 0.9015, Loss: 0.1548
Epoch 12 Batch 42/269 - Train Accuracy: 0.9058, Validation Accuracy: 0.8995, Loss: 0.1393
Epoch 12 Batch 43/269 - Train Accuracy: 0.8960, Validation Accuracy: 0.8946, Loss: 0.1510
Epoch 12 Batch 44/269 - Train Accuracy: 0.8916, Validation Accuracy: 0.8955, Loss: 0.1483
Epoch 12 Batch 45/269 - Train Accuracy: 0.8942, Validation Accuracy: 0.9010, Loss: 0.1519
Epoch 12 Batch 46/269 - Train Accuracy: 0.8928, Validation Accuracy: 0.8988, Loss: 0.1416
Epoch 12 Batch 47/269 - Train Accuracy: 0.9013, Validation Accuracy: 0.8970, Loss: 0.1364
Epoch 12 Batch 48/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9047, Loss: 0.1464
Epoch 12 Batch 49/269 - Train Accuracy: 0.9009, Validation Accuracy: 0.9059, Loss: 0.1413
Epoch 12 Batch 50/269 - Train Accuracy: 0.8792, Validation Accuracy: 0.9062, Loss: 0.1613
Epoch 12 Batch 51/269 - Train Accuracy: 0.8982, Validation Accuracy: 0.8967, Loss: 0.1445
Epoch 12 Batch 52/269 - Train Accuracy: 0.8980, Validation Accuracy: 0.8990, Loss: 0.1275
Epoch 12 Batch 53/269 - Train Accuracy: 0.8912, Validation Accuracy: 0.9132, Loss: 0.1571
Epoch 12 Batch 54/269 - Train Accuracy: 0.9110, Validation Accuracy: 0.9147, Loss: 0.1423
Epoch 12 Batch 55/269 - Train Accuracy: 0.9088, Validation Accuracy: 0.9068, Loss: 0.1455
Epoch 12 Batch 56/269 - Train Accuracy: 0.9017, Validation Accuracy: 0.9002, Loss: 0.1502
Epoch 12 Batch 57/269 - Train Accuracy: 0.8948, Validation Accuracy: 0.8986, Loss: 0.1621
Epoch 12 Batch 58/269 - Train Accuracy: 0.9011, Validation Accuracy: 0.9120, Loss: 0.1412
Epoch 12 Batch 59/269 - Train Accuracy: 0.9124, Validation Accuracy: 0.9152, Loss: 0.1274
Epoch 12 Batch 60/269 - Train Accuracy: 0.8912, Validation Accuracy: 0.9003, Loss: 0.1404
Epoch 12 Batch 61/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.9081, Loss: 0.1364
Epoch 12 Batch 62/269 - Train Accuracy: 0.8919, Validation Accuracy: 0.9090, Loss: 0.1434
Epoch 12 Batch 63/269 - Train Accuracy: 0.8908, Validation Accuracy: 0.9112, Loss: 0.1559
Epoch 12 Batch 64/269 - Train Accuracy: 0.9083, Validation Accuracy: 0.9127, Loss: 0.1399
Epoch 12 Batch 65/269 - Train Accuracy: 0.8892, Validation Accuracy: 0.8966, Loss: 0.1565
Epoch 12 Batch 66/269 - Train Accuracy: 0.8805, Validation Accuracy: 0.8953, Loss: 0.1513
Epoch 12 Batch 67/269 - Train Accuracy: 0.8945, Validation Accuracy: 0.8936, Loss: 0.1576
Epoch 12 Batch 68/269 - Train Accuracy: 0.8859, Validation Accuracy: 0.9098, Loss: 0.1587
Epoch 12 Batch 69/269 - Train Accuracy: 0.8795, Validation Accuracy: 0.9115, Loss: 0.1757
Epoch 12 Batch 70/269 - Train Accuracy: 0.9055, Validation Accuracy: 0.9113, Loss: 0.1511
Epoch 12 Batch 71/269 - Train Accuracy: 0.8923, Validation Accuracy: 0.9031, Loss: 0.1630
Epoch 12 Batch 72/269 - Train Accuracy: 0.8917, Validation Accuracy: 0.9044, Loss: 0.1573
Epoch 12 Batch 73/269 - Train Accuracy: 0.8797, Validation Accuracy: 0.9089, Loss: 0.1594
Epoch 12 Batch 74/269 - Train Accuracy: 0.9171, Validation Accuracy: 0.9077, Loss: 0.1481
Epoch 12 Batch 75/269 - Train Accuracy: 0.9072, Validation Accuracy: 0.9106, Loss: 0.1463
Epoch 12 Batch 76/269 - Train Accuracy: 0.8865, Validation Accuracy: 0.8961, Loss: 0.1474
Epoch 12 Batch 77/269 - Train Accuracy: 0.9009, Validation Accuracy: 0.9023, Loss: 0.1406
Epoch 12 Batch 78/269 - Train Accuracy: 0.9159, Validation Accuracy: 0.9061, Loss: 0.1456
Epoch 12 Batch 79/269 - Train Accuracy: 0.8939, Validation Accuracy: 0.9066, Loss: 0.1454
Epoch 12 Batch 80/269 - Train Accuracy: 0.8907, Validation Accuracy: 0.9054, Loss: 0.1467
Epoch 12 Batch 81/269 - Train Accuracy: 0.8822, Validation Accuracy: 0.8933, Loss: 0.1622
Epoch 12 Batch 82/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.8921, Loss: 0.1324
Epoch 12 Batch 83/269 - Train Accuracy: 0.8765, Validation Accuracy: 0.9059, Loss: 0.1553
Epoch 12 Batch 84/269 - Train Accuracy: 0.9137, Validation Accuracy: 0.9077, Loss: 0.1415
Epoch 12 Batch 85/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9047, Loss: 0.1413
Epoch 12 Batch 86/269 - Train Accuracy: 0.8936, Validation Accuracy: 0.9110, Loss: 0.1449
Epoch 12 Batch 87/269 - Train Accuracy: 0.8844, Validation Accuracy: 0.9069, Loss: 0.1549
Epoch 12 Batch 88/269 - Train Accuracy: 0.8770, Validation Accuracy: 0.9003, Loss: 0.1553
Epoch 12 Batch 89/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9010, Loss: 0.1502
Epoch 12 Batch 90/269 - Train Accuracy: 0.8871, Validation Accuracy: 0.8988, Loss: 0.1517
Epoch 12 Batch 91/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.8929, Loss: 0.1421
Epoch 12 Batch 92/269 - Train Accuracy: 0.9005, Validation Accuracy: 0.8980, Loss: 0.1357
Epoch 12 Batch 93/269 - Train Accuracy: 0.9109, Validation Accuracy: 0.8992, Loss: 0.1464
Epoch 12 Batch 94/269 - Train Accuracy: 0.8901, Validation Accuracy: 0.8905, Loss: 0.1597
Epoch 12 Batch 95/269 - Train Accuracy: 0.8977, Validation Accuracy: 0.8940, Loss: 0.1445
Epoch 12 Batch 96/269 - Train Accuracy: 0.8857, Validation Accuracy: 0.9066, Loss: 0.1513
Epoch 12 Batch 97/269 - Train Accuracy: 0.8867, Validation Accuracy: 0.9067, Loss: 0.1564
Epoch 12 Batch 98/269 - Train Accuracy: 0.8986, Validation Accuracy: 0.8945, Loss: 0.1499
Epoch 12 Batch 99/269 - Train Accuracy: 0.8853, Validation Accuracy: 0.8976, Loss: 0.1519
Epoch 12 Batch 100/269 - Train Accuracy: 0.9087, Validation Accuracy: 0.8906, Loss: 0.1437
Epoch 12 Batch 101/269 - Train Accuracy: 0.8823, Validation Accuracy: 0.8887, Loss: 0.1726
Epoch 12 Batch 102/269 - Train Accuracy: 0.8924, Validation Accuracy: 0.8938, Loss: 0.1473
Epoch 12 Batch 103/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9047, Loss: 0.1511
Epoch 12 Batch 104/269 - Train Accuracy: 0.8916, Validation Accuracy: 0.8960, Loss: 0.1454
Epoch 12 Batch 105/269 - Train Accuracy: 0.8836, Validation Accuracy: 0.9095, Loss: 0.1612
Epoch 12 Batch 106/269 - Train Accuracy: 0.8952, Validation Accuracy: 0.8978, Loss: 0.1383
Epoch 12 Batch 107/269 - Train Accuracy: 0.8980, Validation Accuracy: 0.9040, Loss: 0.1696
Epoch 12 Batch 108/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9056, Loss: 0.1496
Epoch 12 Batch 109/269 - Train Accuracy: 0.8829, Validation Accuracy: 0.9023, Loss: 0.1587
Epoch 12 Batch 110/269 - Train Accuracy: 0.8876, Validation Accuracy: 0.8844, Loss: 0.1410
Epoch 12 Batch 111/269 - Train Accuracy: 0.8849, Validation Accuracy: 0.8975, Loss: 0.1678
Epoch 12 Batch 112/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9015, Loss: 0.1490
Epoch 12 Batch 113/269 - Train Accuracy: 0.8985, Validation Accuracy: 0.9076, Loss: 0.1452
Epoch 12 Batch 114/269 - Train Accuracy: 0.9000, Validation Accuracy: 0.8911, Loss: 0.1462
Epoch 12 Batch 115/269 - Train Accuracy: 0.8726, Validation Accuracy: 0.8902, Loss: 0.1497
Epoch 12 Batch 116/269 - Train Accuracy: 0.9024, Validation Accuracy: 0.8988, Loss: 0.1505
Epoch 12 Batch 117/269 - Train Accuracy: 0.8866, Validation Accuracy: 0.9040, Loss: 0.1504
Epoch 12 Batch 118/269 - Train Accuracy: 0.9101, Validation Accuracy: 0.9043, Loss: 0.1358
Epoch 12 Batch 119/269 - Train Accuracy: 0.8854, Validation Accuracy: 0.9012, Loss: 0.1557
Epoch 12 Batch 120/269 - Train Accuracy: 0.9129, Validation Accuracy: 0.9110, Loss: 0.1548
Epoch 12 Batch 121/269 - Train Accuracy: 0.9027, Validation Accuracy: 0.9080, Loss: 0.1405
Epoch 12 Batch 122/269 - Train Accuracy: 0.8845, Validation Accuracy: 0.9051, Loss: 0.1459
Epoch 12 Batch 123/269 - Train Accuracy: 0.8957, Validation Accuracy: 0.9022, Loss: 0.1579
Epoch 12 Batch 124/269 - Train Accuracy: 0.8874, Validation Accuracy: 0.8987, Loss: 0.1360
Epoch 12 Batch 125/269 - Train Accuracy: 0.9037, Validation Accuracy: 0.9086, Loss: 0.1459
Epoch 12 Batch 126/269 - Train Accuracy: 0.8879, Validation Accuracy: 0.8859, Loss: 0.1431
Epoch 12 Batch 127/269 - Train Accuracy: 0.8830, Validation Accuracy: 0.9046, Loss: 0.1652
Epoch 12 Batch 128/269 - Train Accuracy: 0.8951, Validation Accuracy: 0.8987, Loss: 0.1443
Epoch 12 Batch 129/269 - Train Accuracy: 0.8782, Validation Accuracy: 0.8997, Loss: 0.1567
Epoch 12 Batch 130/269 - Train Accuracy: 0.9055, Validation Accuracy: 0.8914, Loss: 0.1534
Epoch 12 Batch 131/269 - Train Accuracy: 0.8826, Validation Accuracy: 0.9075, Loss: 0.1520
Epoch 12 Batch 132/269 - Train Accuracy: 0.8805, Validation Accuracy: 0.9083, Loss: 0.1587
Epoch 12 Batch 133/269 - Train Accuracy: 0.9124, Validation Accuracy: 0.9102, Loss: 0.1369
Epoch 12 Batch 134/269 - Train Accuracy: 0.8895, Validation Accuracy: 0.9072, Loss: 0.1463
Epoch 12 Batch 135/269 - Train Accuracy: 0.9038, Validation Accuracy: 0.9095, Loss: 0.1574
Epoch 12 Batch 136/269 - Train Accuracy: 0.8776, Validation Accuracy: 0.9055, Loss: 0.1638
Epoch 12 Batch 137/269 - Train Accuracy: 0.8834, Validation Accuracy: 0.8856, Loss: 0.1563
Epoch 12 Batch 138/269 - Train Accuracy: 0.8958, Validation Accuracy: 0.8874, Loss: 0.1412
Epoch 12 Batch 139/269 - Train Accuracy: 0.9013, Validation Accuracy: 0.9060, Loss: 0.1370
Epoch 12 Batch 140/269 - Train Accuracy: 0.8977, Validation Accuracy: 0.9101, Loss: 0.1519
Epoch 12 Batch 141/269 - Train Accuracy: 0.9014, Validation Accuracy: 0.8992, Loss: 0.1491
Epoch 12 Batch 142/269 - Train Accuracy: 0.8923, Validation Accuracy: 0.8971, Loss: 0.1423
Epoch 12 Batch 143/269 - Train Accuracy: 0.8986, Validation Accuracy: 0.8915, Loss: 0.1400
Epoch 12 Batch 144/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.8992, Loss: 0.1307
Epoch 12 Batch 145/269 - Train Accuracy: 0.9032, Validation Accuracy: 0.9070, Loss: 0.1337
Epoch 12 Batch 146/269 - Train Accuracy: 0.8925, Validation Accuracy: 0.9128, Loss: 0.1395
Epoch 12 Batch 147/269 - Train Accuracy: 0.9032, Validation Accuracy: 0.9176, Loss: 0.1441
Epoch 12 Batch 148/269 - Train Accuracy: 0.8913, Validation Accuracy: 0.9044, Loss: 0.1478
Epoch 12 Batch 149/269 - Train Accuracy: 0.8860, Validation Accuracy: 0.9078, Loss: 0.1495
Epoch 12 Batch 150/269 - Train Accuracy: 0.8932, Validation Accuracy: 0.9140, Loss: 0.1431
Epoch 12 Batch 151/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9068, Loss: 0.1466
Epoch 12 Batch 152/269 - Train Accuracy: 0.8943, Validation Accuracy: 0.9084, Loss: 0.1432
Epoch 12 Batch 153/269 - Train Accuracy: 0.9062, Validation Accuracy: 0.9039, Loss: 0.1408
Epoch 12 Batch 154/269 - Train Accuracy: 0.9186, Validation Accuracy: 0.9080, Loss: 0.1380
Epoch 12 Batch 155/269 - Train Accuracy: 0.8917, Validation Accuracy: 0.9085, Loss: 0.1339
Epoch 12 Batch 156/269 - Train Accuracy: 0.9002, Validation Accuracy: 0.9097, Loss: 0.1541
Epoch 12 Batch 157/269 - Train Accuracy: 0.8857, Validation Accuracy: 0.9070, Loss: 0.1382
Epoch 12 Batch 158/269 - Train Accuracy: 0.8892, Validation Accuracy: 0.9080, Loss: 0.1407
Epoch 12 Batch 159/269 - Train Accuracy: 0.8823, Validation Accuracy: 0.9084, Loss: 0.1427
Epoch 12 Batch 160/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9088, Loss: 0.1410
Epoch 12 Batch 161/269 - Train Accuracy: 0.9009, Validation Accuracy: 0.9110, Loss: 0.1428
Epoch 12 Batch 162/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9210, Loss: 0.1353
Epoch 12 Batch 163/269 - Train Accuracy: 0.9010, Validation Accuracy: 0.9188, Loss: 0.1402
Epoch 12 Batch 164/269 - Train Accuracy: 0.9022, Validation Accuracy: 0.9127, Loss: 0.1454
Epoch 12 Batch 165/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9066, Loss: 0.1347
Epoch 12 Batch 166/269 - Train Accuracy: 0.9077, Validation Accuracy: 0.9113, Loss: 0.1391
Epoch 12 Batch 167/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9086, Loss: 0.1415
Epoch 12 Batch 168/269 - Train Accuracy: 0.8843, Validation Accuracy: 0.9001, Loss: 0.1516
Epoch 12 Batch 169/269 - Train Accuracy: 0.8913, Validation Accuracy: 0.8930, Loss: 0.1412
Epoch 12 Batch 170/269 - Train Accuracy: 0.8964, Validation Accuracy: 0.9013, Loss: 0.1410
Epoch 12 Batch 171/269 - Train Accuracy: 0.9160, Validation Accuracy: 0.9122, Loss: 0.1432
Epoch 12 Batch 172/269 - Train Accuracy: 0.8877, Validation Accuracy: 0.9118, Loss: 0.1535
Epoch 12 Batch 173/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9086, Loss: 0.1345
Epoch 12 Batch 174/269 - Train Accuracy: 0.9045, Validation Accuracy: 0.9027, Loss: 0.1421
Epoch 12 Batch 175/269 - Train Accuracy: 0.8941, Validation Accuracy: 0.9054, Loss: 0.1569
Epoch 12 Batch 176/269 - Train Accuracy: 0.8898, Validation Accuracy: 0.9113, Loss: 0.1506
Epoch 12 Batch 177/269 - Train Accuracy: 0.9099, Validation Accuracy: 0.9145, Loss: 0.1372
Epoch 12 Batch 178/269 - Train Accuracy: 0.9062, Validation Accuracy: 0.9156, Loss: 0.1327
Epoch 12 Batch 179/269 - Train Accuracy: 0.9059, Validation Accuracy: 0.9129, Loss: 0.1359
Epoch 12 Batch 180/269 - Train Accuracy: 0.9025, Validation Accuracy: 0.9092, Loss: 0.1351
Epoch 12 Batch 181/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.9082, Loss: 0.1491
Epoch 12 Batch 182/269 - Train Accuracy: 0.8985, Validation Accuracy: 0.9108, Loss: 0.1421
Epoch 12 Batch 183/269 - Train Accuracy: 0.9159, Validation Accuracy: 0.9157, Loss: 0.1231
Epoch 12 Batch 184/269 - Train Accuracy: 0.8989, Validation Accuracy: 0.9129, Loss: 0.1381
Epoch 12 Batch 185/269 - Train Accuracy: 0.9131, Validation Accuracy: 0.9090, Loss: 0.1412
Epoch 12 Batch 186/269 - Train Accuracy: 0.9068, Validation Accuracy: 0.9189, Loss: 0.1374
Epoch 12 Batch 187/269 - Train Accuracy: 0.9052, Validation Accuracy: 0.9119, Loss: 0.1393
Epoch 12 Batch 188/269 - Train Accuracy: 0.9018, Validation Accuracy: 0.9095, Loss: 0.1367
Epoch 12 Batch 189/269 - Train Accuracy: 0.8992, Validation Accuracy: 0.9002, Loss: 0.1316
Epoch 12 Batch 190/269 - Train Accuracy: 0.9052, Validation Accuracy: 0.9027, Loss: 0.1380
Epoch 12 Batch 191/269 - Train Accuracy: 0.8912, Validation Accuracy: 0.9050, Loss: 0.1314
Epoch 12 Batch 192/269 - Train Accuracy: 0.9024, Validation Accuracy: 0.9091, Loss: 0.1382
Epoch 12 Batch 193/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9089, Loss: 0.1341
Epoch 12 Batch 194/269 - Train Accuracy: 0.8987, Validation Accuracy: 0.9118, Loss: 0.1431
Epoch 12 Batch 195/269 - Train Accuracy: 0.8997, Validation Accuracy: 0.9108, Loss: 0.1381
Epoch 12 Batch 196/269 - Train Accuracy: 0.8867, Validation Accuracy: 0.9096, Loss: 0.1364
Epoch 12 Batch 197/269 - Train Accuracy: 0.8956, Validation Accuracy: 0.9068, Loss: 0.1522
Epoch 12 Batch 198/269 - Train Accuracy: 0.9008, Validation Accuracy: 0.9092, Loss: 0.1485
Epoch 12 Batch 199/269 - Train Accuracy: 0.9055, Validation Accuracy: 0.9062, Loss: 0.1509
Epoch 12 Batch 200/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9045, Loss: 0.1451
Epoch 12 Batch 201/269 - Train Accuracy: 0.9093, Validation Accuracy: 0.9107, Loss: 0.1396
Epoch 12 Batch 202/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.9090, Loss: 0.1413
Epoch 12 Batch 203/269 - Train Accuracy: 0.9003, Validation Accuracy: 0.9111, Loss: 0.1549
Epoch 12 Batch 204/269 - Train Accuracy: 0.8864, Validation Accuracy: 0.9121, Loss: 0.1452
Epoch 12 Batch 205/269 - Train Accuracy: 0.9047, Validation Accuracy: 0.9031, Loss: 0.1391
Epoch 12 Batch 206/269 - Train Accuracy: 0.8878, Validation Accuracy: 0.9014, Loss: 0.1434
Epoch 12 Batch 207/269 - Train Accuracy: 0.8942, Validation Accuracy: 0.9078, Loss: 0.1348
Epoch 12 Batch 208/269 - Train Accuracy: 0.8957, Validation Accuracy: 0.9135, Loss: 0.1440
Epoch 12 Batch 209/269 - Train Accuracy: 0.9143, Validation Accuracy: 0.9120, Loss: 0.1336
Epoch 12 Batch 210/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9073, Loss: 0.1368
Epoch 12 Batch 211/269 - Train Accuracy: 0.9017, Validation Accuracy: 0.9165, Loss: 0.1429
Epoch 12 Batch 212/269 - Train Accuracy: 0.8985, Validation Accuracy: 0.9143, Loss: 0.1426
Epoch 12 Batch 213/269 - Train Accuracy: 0.9005, Validation Accuracy: 0.9043, Loss: 0.1367
Epoch 12 Batch 214/269 - Train Accuracy: 0.8794, Validation Accuracy: 0.9046, Loss: 0.1413
Epoch 12 Batch 215/269 - Train Accuracy: 0.9047, Validation Accuracy: 0.9069, Loss: 0.1284
Epoch 12 Batch 216/269 - Train Accuracy: 0.8873, Validation Accuracy: 0.9112, Loss: 0.1595
Epoch 12 Batch 217/269 - Train Accuracy: 0.8823, Validation Accuracy: 0.9147, Loss: 0.1453
Epoch 12 Batch 218/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.9111, Loss: 0.1385
Epoch 12 Batch 219/269 - Train Accuracy: 0.9106, Validation Accuracy: 0.9085, Loss: 0.1374
Epoch 12 Batch 220/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9054, Loss: 0.1302
Epoch 12 Batch 221/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.8881, Loss: 0.1372
Epoch 12 Batch 222/269 - Train Accuracy: 0.9130, Validation Accuracy: 0.9071, Loss: 0.1300
Epoch 12 Batch 223/269 - Train Accuracy: 0.8854, Validation Accuracy: 0.9086, Loss: 0.1315
Epoch 12 Batch 224/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9158, Loss: 0.1449
Epoch 12 Batch 225/269 - Train Accuracy: 0.8917, Validation Accuracy: 0.8956, Loss: 0.1286
Epoch 12 Batch 226/269 - Train Accuracy: 0.9006, Validation Accuracy: 0.9102, Loss: 0.1405
Epoch 12 Batch 227/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9108, Loss: 0.1396
Epoch 12 Batch 228/269 - Train Accuracy: 0.8888, Validation Accuracy: 0.9117, Loss: 0.1372
Epoch 12 Batch 229/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.9091, Loss: 0.1361
Epoch 12 Batch 230/269 - Train Accuracy: 0.9141, Validation Accuracy: 0.9078, Loss: 0.1359
Epoch 12 Batch 231/269 - Train Accuracy: 0.8946, Validation Accuracy: 0.9089, Loss: 0.1498
Epoch 12 Batch 232/269 - Train Accuracy: 0.8939, Validation Accuracy: 0.9132, Loss: 0.1442
Epoch 12 Batch 233/269 - Train Accuracy: 0.9135, Validation Accuracy: 0.9205, Loss: 0.1451
Epoch 12 Batch 234/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9111, Loss: 0.1327
Epoch 12 Batch 235/269 - Train Accuracy: 0.9177, Validation Accuracy: 0.9002, Loss: 0.1263
Epoch 12 Batch 236/269 - Train Accuracy: 0.8931, Validation Accuracy: 0.9056, Loss: 0.1327
Epoch 12 Batch 237/269 - Train Accuracy: 0.9073, Validation Accuracy: 0.9054, Loss: 0.1327
Epoch 12 Batch 238/269 - Train Accuracy: 0.9052, Validation Accuracy: 0.9019, Loss: 0.1454
Epoch 12 Batch 239/269 - Train Accuracy: 0.8897, Validation Accuracy: 0.9021, Loss: 0.1344
Epoch 12 Batch 240/269 - Train Accuracy: 0.9240, Validation Accuracy: 0.9118, Loss: 0.1264
Epoch 12 Batch 241/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9101, Loss: 0.1472
Epoch 12 Batch 242/269 - Train Accuracy: 0.9210, Validation Accuracy: 0.9061, Loss: 0.1367
Epoch 12 Batch 243/269 - Train Accuracy: 0.9185, Validation Accuracy: 0.8994, Loss: 0.1270
Epoch 12 Batch 244/269 - Train Accuracy: 0.8993, Validation Accuracy: 0.8999, Loss: 0.1359
Epoch 12 Batch 245/269 - Train Accuracy: 0.8956, Validation Accuracy: 0.9037, Loss: 0.1433
Epoch 12 Batch 246/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9062, Loss: 0.1415
Epoch 12 Batch 247/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.9126, Loss: 0.1396
Epoch 12 Batch 248/269 - Train Accuracy: 0.8966, Validation Accuracy: 0.9088, Loss: 0.1302
Epoch 12 Batch 249/269 - Train Accuracy: 0.9015, Validation Accuracy: 0.9058, Loss: 0.1262
Epoch 12 Batch 250/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9004, Loss: 0.1320
Epoch 12 Batch 251/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9086, Loss: 0.1323
Epoch 12 Batch 252/269 - Train Accuracy: 0.9110, Validation Accuracy: 0.9091, Loss: 0.1274
Epoch 12 Batch 253/269 - Train Accuracy: 0.8810, Validation Accuracy: 0.9103, Loss: 0.1426
Epoch 12 Batch 254/269 - Train Accuracy: 0.8940, Validation Accuracy: 0.9092, Loss: 0.1292
Epoch 12 Batch 255/269 - Train Accuracy: 0.9106, Validation Accuracy: 0.9084, Loss: 0.1335
Epoch 12 Batch 256/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9115, Loss: 0.1352
Epoch 12 Batch 257/269 - Train Accuracy: 0.8921, Validation Accuracy: 0.9128, Loss: 0.1388
Epoch 12 Batch 258/269 - Train Accuracy: 0.8947, Validation Accuracy: 0.9175, Loss: 0.1365
Epoch 12 Batch 259/269 - Train Accuracy: 0.9089, Validation Accuracy: 0.9241, Loss: 0.1313
Epoch 12 Batch 260/269 - Train Accuracy: 0.8921, Validation Accuracy: 0.9244, Loss: 0.1434
Epoch 12 Batch 261/269 - Train Accuracy: 0.9028, Validation Accuracy: 0.9206, Loss: 0.1417
Epoch 12 Batch 262/269 - Train Accuracy: 0.9100, Validation Accuracy: 0.9178, Loss: 0.1379
Epoch 12 Batch 263/269 - Train Accuracy: 0.8915, Validation Accuracy: 0.8993, Loss: 0.1415
Epoch 12 Batch 264/269 - Train Accuracy: 0.8827, Validation Accuracy: 0.9020, Loss: 0.1450
Epoch 12 Batch 265/269 - Train Accuracy: 0.9082, Validation Accuracy: 0.9013, Loss: 0.1312
Epoch 12 Batch 266/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9112, Loss: 0.1227
Epoch 12 Batch 267/269 - Train Accuracy: 0.9040, Validation Accuracy: 0.9122, Loss: 0.1389
Epoch 13 Batch 1/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.9170, Loss: 0.1372
Epoch 13 Batch 2/269 - Train Accuracy: 0.8998, Validation Accuracy: 0.9145, Loss: 0.1396
Epoch 13 Batch 3/269 - Train Accuracy: 0.9106, Validation Accuracy: 0.9141, Loss: 0.1338
Epoch 13 Batch 4/269 - Train Accuracy: 0.8962, Validation Accuracy: 0.9161, Loss: 0.1355
Epoch 13 Batch 5/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9170, Loss: 0.1339
Epoch 13 Batch 6/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9181, Loss: 0.1262
Epoch 13 Batch 7/269 - Train Accuracy: 0.9137, Validation Accuracy: 0.9181, Loss: 0.1287
Epoch 13 Batch 8/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9164, Loss: 0.1333
Epoch 13 Batch 9/269 - Train Accuracy: 0.8974, Validation Accuracy: 0.9149, Loss: 0.1465
Epoch 13 Batch 10/269 - Train Accuracy: 0.8953, Validation Accuracy: 0.9126, Loss: 0.1271
Epoch 13 Batch 11/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9117, Loss: 0.1446
Epoch 13 Batch 12/269 - Train Accuracy: 0.8948, Validation Accuracy: 0.9094, Loss: 0.1453
Epoch 13 Batch 13/269 - Train Accuracy: 0.9033, Validation Accuracy: 0.9098, Loss: 0.1174
Epoch 13 Batch 14/269 - Train Accuracy: 0.8941, Validation Accuracy: 0.9182, Loss: 0.1383
Epoch 13 Batch 15/269 - Train Accuracy: 0.9082, Validation Accuracy: 0.9192, Loss: 0.1190
Epoch 13 Batch 16/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9218, Loss: 0.1389
Epoch 13 Batch 17/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9151, Loss: 0.1220
Epoch 13 Batch 18/269 - Train Accuracy: 0.8983, Validation Accuracy: 0.9110, Loss: 0.1325
Epoch 13 Batch 19/269 - Train Accuracy: 0.9197, Validation Accuracy: 0.9111, Loss: 0.1233
Epoch 13 Batch 20/269 - Train Accuracy: 0.9052, Validation Accuracy: 0.9147, Loss: 0.1306
Epoch 13 Batch 21/269 - Train Accuracy: 0.8865, Validation Accuracy: 0.9123, Loss: 0.1477
Epoch 13 Batch 22/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9118, Loss: 0.1215
Epoch 13 Batch 23/269 - Train Accuracy: 0.9018, Validation Accuracy: 0.9158, Loss: 0.1372
Epoch 13 Batch 24/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9170, Loss: 0.1358
Epoch 13 Batch 25/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9144, Loss: 0.1486
Epoch 13 Batch 26/269 - Train Accuracy: 0.9052, Validation Accuracy: 0.9077, Loss: 0.1203
Epoch 13 Batch 27/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9150, Loss: 0.1298
Epoch 13 Batch 28/269 - Train Accuracy: 0.8807, Validation Accuracy: 0.9166, Loss: 0.1428
Epoch 13 Batch 29/269 - Train Accuracy: 0.9098, Validation Accuracy: 0.9103, Loss: 0.1386
Epoch 13 Batch 30/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9176, Loss: 0.1288
Epoch 13 Batch 31/269 - Train Accuracy: 0.9101, Validation Accuracy: 0.9181, Loss: 0.1246
Epoch 13 Batch 32/269 - Train Accuracy: 0.9095, Validation Accuracy: 0.9190, Loss: 0.1282
Epoch 13 Batch 33/269 - Train Accuracy: 0.9078, Validation Accuracy: 0.9145, Loss: 0.1179
Epoch 13 Batch 34/269 - Train Accuracy: 0.9065, Validation Accuracy: 0.9075, Loss: 0.1320
Epoch 13 Batch 35/269 - Train Accuracy: 0.8997, Validation Accuracy: 0.9118, Loss: 0.1442
Epoch 13 Batch 36/269 - Train Accuracy: 0.8836, Validation Accuracy: 0.9146, Loss: 0.1352
Epoch 13 Batch 37/269 - Train Accuracy: 0.8966, Validation Accuracy: 0.9108, Loss: 0.1315
Epoch 13 Batch 38/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9110, Loss: 0.1313
Epoch 13 Batch 39/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9138, Loss: 0.1280
Epoch 13 Batch 40/269 - Train Accuracy: 0.9037, Validation Accuracy: 0.9173, Loss: 0.1382
Epoch 13 Batch 41/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9205, Loss: 0.1309
Epoch 13 Batch 42/269 - Train Accuracy: 0.9145, Validation Accuracy: 0.9165, Loss: 0.1207
Epoch 13 Batch 43/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9119, Loss: 0.1391
Epoch 13 Batch 44/269 - Train Accuracy: 0.9034, Validation Accuracy: 0.9142, Loss: 0.1335
Epoch 13 Batch 45/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9053, Loss: 0.1400
Epoch 13 Batch 46/269 - Train Accuracy: 0.9107, Validation Accuracy: 0.9038, Loss: 0.1250
Epoch 13 Batch 47/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9038, Loss: 0.1182
Epoch 13 Batch 48/269 - Train Accuracy: 0.9159, Validation Accuracy: 0.9047, Loss: 0.1310
Epoch 13 Batch 49/269 - Train Accuracy: 0.9032, Validation Accuracy: 0.9105, Loss: 0.1270
Epoch 13 Batch 50/269 - Train Accuracy: 0.9006, Validation Accuracy: 0.9173, Loss: 0.1451
Epoch 13 Batch 51/269 - Train Accuracy: 0.9163, Validation Accuracy: 0.9144, Loss: 0.1354
Epoch 13 Batch 52/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.9092, Loss: 0.1227
Epoch 13 Batch 53/269 - Train Accuracy: 0.9031, Validation Accuracy: 0.9132, Loss: 0.1407
Epoch 13 Batch 54/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9149, Loss: 0.1252
Epoch 13 Batch 55/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9097, Loss: 0.1303
Epoch 13 Batch 56/269 - Train Accuracy: 0.9038, Validation Accuracy: 0.9126, Loss: 0.1352
Epoch 13 Batch 57/269 - Train Accuracy: 0.9009, Validation Accuracy: 0.9165, Loss: 0.1456
Epoch 13 Batch 58/269 - Train Accuracy: 0.9107, Validation Accuracy: 0.9123, Loss: 0.1314
Epoch 13 Batch 59/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9151, Loss: 0.1146
Epoch 13 Batch 60/269 - Train Accuracy: 0.8994, Validation Accuracy: 0.9207, Loss: 0.1232
Epoch 13 Batch 61/269 - Train Accuracy: 0.9154, Validation Accuracy: 0.9200, Loss: 0.1174
Epoch 13 Batch 62/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9213, Loss: 0.1319
Epoch 13 Batch 63/269 - Train Accuracy: 0.8890, Validation Accuracy: 0.9165, Loss: 0.1381
Epoch 13 Batch 64/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9193, Loss: 0.1218
Epoch 13 Batch 65/269 - Train Accuracy: 0.9001, Validation Accuracy: 0.9212, Loss: 0.1278
Epoch 13 Batch 66/269 - Train Accuracy: 0.8978, Validation Accuracy: 0.9165, Loss: 0.1315
Epoch 13 Batch 67/269 - Train Accuracy: 0.8991, Validation Accuracy: 0.9225, Loss: 0.1404
Epoch 13 Batch 68/269 - Train Accuracy: 0.8954, Validation Accuracy: 0.9074, Loss: 0.1377
Epoch 13 Batch 69/269 - Train Accuracy: 0.8886, Validation Accuracy: 0.9231, Loss: 0.1559
Epoch 13 Batch 70/269 - Train Accuracy: 0.9011, Validation Accuracy: 0.9122, Loss: 0.1361
Epoch 13 Batch 71/269 - Train Accuracy: 0.8981, Validation Accuracy: 0.9193, Loss: 0.1481
Epoch 13 Batch 72/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9069, Loss: 0.1320
Epoch 13 Batch 73/269 - Train Accuracy: 0.8887, Validation Accuracy: 0.9199, Loss: 0.1431
Epoch 13 Batch 74/269 - Train Accuracy: 0.9282, Validation Accuracy: 0.9142, Loss: 0.1251
Epoch 13 Batch 75/269 - Train Accuracy: 0.9079, Validation Accuracy: 0.9154, Loss: 0.1426
Epoch 13 Batch 76/269 - Train Accuracy: 0.8946, Validation Accuracy: 0.9082, Loss: 0.1314
Epoch 13 Batch 77/269 - Train Accuracy: 0.9058, Validation Accuracy: 0.9113, Loss: 0.1348
Epoch 13 Batch 78/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9136, Loss: 0.1311
Epoch 13 Batch 79/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9148, Loss: 0.1377
Epoch 13 Batch 80/269 - Train Accuracy: 0.8991, Validation Accuracy: 0.9157, Loss: 0.1291
Epoch 13 Batch 81/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.9118, Loss: 0.1407
Epoch 13 Batch 82/269 - Train Accuracy: 0.9297, Validation Accuracy: 0.9085, Loss: 0.1180
Epoch 13 Batch 83/269 - Train Accuracy: 0.8851, Validation Accuracy: 0.9095, Loss: 0.1376
Epoch 13 Batch 84/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9102, Loss: 0.1266
Epoch 13 Batch 85/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9108, Loss: 0.1275
Epoch 13 Batch 86/269 - Train Accuracy: 0.9038, Validation Accuracy: 0.9119, Loss: 0.1285
Epoch 13 Batch 87/269 - Train Accuracy: 0.8925, Validation Accuracy: 0.9145, Loss: 0.1343
Epoch 13 Batch 88/269 - Train Accuracy: 0.8887, Validation Accuracy: 0.9136, Loss: 0.1398
Epoch 13 Batch 89/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9158, Loss: 0.1308
Epoch 13 Batch 90/269 - Train Accuracy: 0.8990, Validation Accuracy: 0.9153, Loss: 0.1359
Epoch 13 Batch 91/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9160, Loss: 0.1208
Epoch 13 Batch 92/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9118, Loss: 0.1202
Epoch 13 Batch 93/269 - Train Accuracy: 0.9151, Validation Accuracy: 0.9144, Loss: 0.1212
Epoch 13 Batch 94/269 - Train Accuracy: 0.9079, Validation Accuracy: 0.9160, Loss: 0.1444
Epoch 13 Batch 95/269 - Train Accuracy: 0.9130, Validation Accuracy: 0.9142, Loss: 0.1236
Epoch 13 Batch 96/269 - Train Accuracy: 0.8928, Validation Accuracy: 0.9190, Loss: 0.1280
Epoch 13 Batch 97/269 - Train Accuracy: 0.9019, Validation Accuracy: 0.9232, Loss: 0.1261
Epoch 13 Batch 98/269 - Train Accuracy: 0.9067, Validation Accuracy: 0.9134, Loss: 0.1298
Epoch 13 Batch 99/269 - Train Accuracy: 0.9007, Validation Accuracy: 0.9083, Loss: 0.1285
Epoch 13 Batch 100/269 - Train Accuracy: 0.9141, Validation Accuracy: 0.9070, Loss: 0.1296
Epoch 13 Batch 101/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9179, Loss: 0.1410
Epoch 13 Batch 102/269 - Train Accuracy: 0.9129, Validation Accuracy: 0.9219, Loss: 0.1239
Epoch 13 Batch 103/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9118, Loss: 0.1379
Epoch 13 Batch 104/269 - Train Accuracy: 0.8967, Validation Accuracy: 0.9047, Loss: 0.1277
Epoch 13 Batch 105/269 - Train Accuracy: 0.8964, Validation Accuracy: 0.9129, Loss: 0.1366
Epoch 13 Batch 106/269 - Train Accuracy: 0.9082, Validation Accuracy: 0.9229, Loss: 0.1206
Epoch 13 Batch 107/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9183, Loss: 0.1336
Epoch 13 Batch 108/269 - Train Accuracy: 0.9217, Validation Accuracy: 0.9155, Loss: 0.1233
Epoch 13 Batch 109/269 - Train Accuracy: 0.8988, Validation Accuracy: 0.9118, Loss: 0.1380
Epoch 13 Batch 110/269 - Train Accuracy: 0.9162, Validation Accuracy: 0.9197, Loss: 0.1163
Epoch 13 Batch 111/269 - Train Accuracy: 0.8979, Validation Accuracy: 0.9239, Loss: 0.1408
Epoch 13 Batch 112/269 - Train Accuracy: 0.9166, Validation Accuracy: 0.9214, Loss: 0.1312
Epoch 13 Batch 113/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9198, Loss: 0.1287
Epoch 13 Batch 114/269 - Train Accuracy: 0.9092, Validation Accuracy: 0.9027, Loss: 0.1247
Epoch 13 Batch 115/269 - Train Accuracy: 0.8964, Validation Accuracy: 0.9041, Loss: 0.1361
Epoch 13 Batch 116/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9157, Loss: 0.1264
Epoch 13 Batch 117/269 - Train Accuracy: 0.9058, Validation Accuracy: 0.9157, Loss: 0.1277
Epoch 13 Batch 118/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9192, Loss: 0.1191
Epoch 13 Batch 119/269 - Train Accuracy: 0.8956, Validation Accuracy: 0.9149, Loss: 0.1389
Epoch 13 Batch 120/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9123, Loss: 0.1315
Epoch 13 Batch 121/269 - Train Accuracy: 0.9077, Validation Accuracy: 0.9169, Loss: 0.1204
Epoch 13 Batch 122/269 - Train Accuracy: 0.9016, Validation Accuracy: 0.9106, Loss: 0.1265
Epoch 13 Batch 123/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9074, Loss: 0.1283
Epoch 13 Batch 124/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9066, Loss: 0.1142
Epoch 13 Batch 125/269 - Train Accuracy: 0.9240, Validation Accuracy: 0.9030, Loss: 0.1172
Epoch 13 Batch 126/269 - Train Accuracy: 0.8987, Validation Accuracy: 0.9056, Loss: 0.1308
Epoch 13 Batch 127/269 - Train Accuracy: 0.8994, Validation Accuracy: 0.9040, Loss: 0.1292
Epoch 13 Batch 128/269 - Train Accuracy: 0.9011, Validation Accuracy: 0.9071, Loss: 0.1298
Epoch 13 Batch 129/269 - Train Accuracy: 0.8922, Validation Accuracy: 0.9138, Loss: 0.1261
Epoch 13 Batch 130/269 - Train Accuracy: 0.9107, Validation Accuracy: 0.9158, Loss: 0.1322
Epoch 13 Batch 131/269 - Train Accuracy: 0.8983, Validation Accuracy: 0.9082, Loss: 0.1313
Epoch 13 Batch 132/269 - Train Accuracy: 0.8983, Validation Accuracy: 0.9080, Loss: 0.1308
Epoch 13 Batch 133/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9157, Loss: 0.1178
Epoch 13 Batch 134/269 - Train Accuracy: 0.9016, Validation Accuracy: 0.9185, Loss: 0.1229
Epoch 13 Batch 135/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9167, Loss: 0.1317
Epoch 13 Batch 136/269 - Train Accuracy: 0.8931, Validation Accuracy: 0.9136, Loss: 0.1379
Epoch 13 Batch 137/269 - Train Accuracy: 0.8891, Validation Accuracy: 0.9118, Loss: 0.1397
Epoch 13 Batch 138/269 - Train Accuracy: 0.8990, Validation Accuracy: 0.9109, Loss: 0.1254
Epoch 13 Batch 139/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9130, Loss: 0.1190
Epoch 13 Batch 140/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9119, Loss: 0.1404
Epoch 13 Batch 141/269 - Train Accuracy: 0.9130, Validation Accuracy: 0.9095, Loss: 0.1319
Epoch 13 Batch 142/269 - Train Accuracy: 0.9004, Validation Accuracy: 0.9101, Loss: 0.1224
Epoch 13 Batch 143/269 - Train Accuracy: 0.9092, Validation Accuracy: 0.9096, Loss: 0.1273
Epoch 13 Batch 144/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9079, Loss: 0.1176
Epoch 13 Batch 145/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9156, Loss: 0.1255
Epoch 13 Batch 146/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9207, Loss: 0.1187
Epoch 13 Batch 147/269 - Train Accuracy: 0.9134, Validation Accuracy: 0.9133, Loss: 0.1325
Epoch 13 Batch 148/269 - Train Accuracy: 0.8979, Validation Accuracy: 0.9090, Loss: 0.1284
Epoch 13 Batch 149/269 - Train Accuracy: 0.8894, Validation Accuracy: 0.9154, Loss: 0.1331
Epoch 13 Batch 150/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9194, Loss: 0.1277
Epoch 13 Batch 151/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9196, Loss: 0.1273
Epoch 13 Batch 152/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9205, Loss: 0.1256
Epoch 13 Batch 153/269 - Train Accuracy: 0.9184, Validation Accuracy: 0.9136, Loss: 0.1163
Epoch 13 Batch 154/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9123, Loss: 0.1210
Epoch 13 Batch 155/269 - Train Accuracy: 0.9074, Validation Accuracy: 0.9146, Loss: 0.1206
Epoch 13 Batch 156/269 - Train Accuracy: 0.9158, Validation Accuracy: 0.9209, Loss: 0.1348
Epoch 13 Batch 157/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9185, Loss: 0.1246
Epoch 13 Batch 158/269 - Train Accuracy: 0.9059, Validation Accuracy: 0.9148, Loss: 0.1233
Epoch 13 Batch 159/269 - Train Accuracy: 0.8940, Validation Accuracy: 0.9219, Loss: 0.1273
Epoch 13 Batch 160/269 - Train Accuracy: 0.9057, Validation Accuracy: 0.9106, Loss: 0.1280
Epoch 13 Batch 161/269 - Train Accuracy: 0.9100, Validation Accuracy: 0.9189, Loss: 0.1259
Epoch 13 Batch 162/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9173, Loss: 0.1193
Epoch 13 Batch 163/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9185, Loss: 0.1293
Epoch 13 Batch 164/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9223, Loss: 0.1270
Epoch 13 Batch 165/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9173, Loss: 0.1220
Epoch 13 Batch 166/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9095, Loss: 0.1262
Epoch 13 Batch 167/269 - Train Accuracy: 0.9200, Validation Accuracy: 0.9164, Loss: 0.1220
Epoch 13 Batch 168/269 - Train Accuracy: 0.9046, Validation Accuracy: 0.9175, Loss: 0.1277
Epoch 13 Batch 169/269 - Train Accuracy: 0.9042, Validation Accuracy: 0.9173, Loss: 0.1240
Epoch 13 Batch 170/269 - Train Accuracy: 0.9062, Validation Accuracy: 0.9200, Loss: 0.1154
Epoch 13 Batch 171/269 - Train Accuracy: 0.9271, Validation Accuracy: 0.9251, Loss: 0.1230
Epoch 13 Batch 172/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9255, Loss: 0.1356
Epoch 13 Batch 173/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.9202, Loss: 0.1120
Epoch 13 Batch 174/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9163, Loss: 0.1251
Epoch 13 Batch 175/269 - Train Accuracy: 0.8995, Validation Accuracy: 0.9191, Loss: 0.1427
Epoch 13 Batch 176/269 - Train Accuracy: 0.8988, Validation Accuracy: 0.9134, Loss: 0.1313
Epoch 13 Batch 177/269 - Train Accuracy: 0.9162, Validation Accuracy: 0.9084, Loss: 0.1177
Epoch 13 Batch 178/269 - Train Accuracy: 0.9176, Validation Accuracy: 0.9157, Loss: 0.1147
Epoch 13 Batch 179/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9168, Loss: 0.1185
Epoch 13 Batch 180/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9167, Loss: 0.1155
Epoch 13 Batch 181/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9180, Loss: 0.1310
Epoch 13 Batch 182/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9199, Loss: 0.1228
Epoch 13 Batch 183/269 - Train Accuracy: 0.9204, Validation Accuracy: 0.9229, Loss: 0.1061
Epoch 13 Batch 184/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9116, Loss: 0.1302
Epoch 13 Batch 185/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9155, Loss: 0.1213
Epoch 13 Batch 186/269 - Train Accuracy: 0.9134, Validation Accuracy: 0.9192, Loss: 0.1199
Epoch 13 Batch 187/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9171, Loss: 0.1163
Epoch 13 Batch 188/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9154, Loss: 0.1184
Epoch 13 Batch 189/269 - Train Accuracy: 0.9044, Validation Accuracy: 0.9066, Loss: 0.1154
Epoch 13 Batch 190/269 - Train Accuracy: 0.9082, Validation Accuracy: 0.9055, Loss: 0.1187
Epoch 13 Batch 191/269 - Train Accuracy: 0.8995, Validation Accuracy: 0.9104, Loss: 0.1297
Epoch 13 Batch 192/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9115, Loss: 0.1180
Epoch 13 Batch 193/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9150, Loss: 0.1208
Epoch 13 Batch 194/269 - Train Accuracy: 0.9062, Validation Accuracy: 0.9124, Loss: 0.1281
Epoch 13 Batch 195/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9138, Loss: 0.1190
Epoch 13 Batch 196/269 - Train Accuracy: 0.9061, Validation Accuracy: 0.9180, Loss: 0.1192
Epoch 13 Batch 197/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9180, Loss: 0.1294
Epoch 13 Batch 198/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9207, Loss: 0.1265
Epoch 13 Batch 199/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9146, Loss: 0.1263
Epoch 13 Batch 200/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9110, Loss: 0.1207
Epoch 13 Batch 201/269 - Train Accuracy: 0.9050, Validation Accuracy: 0.9105, Loss: 0.1252
Epoch 13 Batch 202/269 - Train Accuracy: 0.9113, Validation Accuracy: 0.9163, Loss: 0.1177
Epoch 13 Batch 203/269 - Train Accuracy: 0.9145, Validation Accuracy: 0.9132, Loss: 0.1299
Epoch 13 Batch 204/269 - Train Accuracy: 0.9031, Validation Accuracy: 0.9099, Loss: 0.1260
Epoch 13 Batch 205/269 - Train Accuracy: 0.9095, Validation Accuracy: 0.9063, Loss: 0.1241
Epoch 13 Batch 206/269 - Train Accuracy: 0.9045, Validation Accuracy: 0.9159, Loss: 0.1274
Epoch 13 Batch 207/269 - Train Accuracy: 0.9016, Validation Accuracy: 0.9179, Loss: 0.1244
Epoch 13 Batch 208/269 - Train Accuracy: 0.9055, Validation Accuracy: 0.9139, Loss: 0.1319
Epoch 13 Batch 209/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9149, Loss: 0.1136
Epoch 13 Batch 210/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9210, Loss: 0.1193
Epoch 13 Batch 211/269 - Train Accuracy: 0.9118, Validation Accuracy: 0.9176, Loss: 0.1252
Epoch 13 Batch 212/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9180, Loss: 0.1309
Epoch 13 Batch 213/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9157, Loss: 0.1217
Epoch 13 Batch 214/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9220, Loss: 0.1277
Epoch 13 Batch 215/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9210, Loss: 0.1175
Epoch 13 Batch 216/269 - Train Accuracy: 0.8975, Validation Accuracy: 0.9117, Loss: 0.1439
Epoch 13 Batch 217/269 - Train Accuracy: 0.8937, Validation Accuracy: 0.9134, Loss: 0.1283
Epoch 13 Batch 218/269 - Train Accuracy: 0.9103, Validation Accuracy: 0.9185, Loss: 0.1272
Epoch 13 Batch 219/269 - Train Accuracy: 0.9114, Validation Accuracy: 0.9152, Loss: 0.1308
Epoch 13 Batch 220/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9102, Loss: 0.1118
Epoch 13 Batch 221/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9092, Loss: 0.1264
Epoch 13 Batch 222/269 - Train Accuracy: 0.9238, Validation Accuracy: 0.9200, Loss: 0.1152
Epoch 13 Batch 223/269 - Train Accuracy: 0.9002, Validation Accuracy: 0.9239, Loss: 0.1214
Epoch 13 Batch 224/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9186, Loss: 0.1412
Epoch 13 Batch 225/269 - Train Accuracy: 0.9004, Validation Accuracy: 0.9165, Loss: 0.1231
Epoch 13 Batch 226/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9205, Loss: 0.1230
Epoch 13 Batch 227/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9225, Loss: 0.1290
Epoch 13 Batch 228/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9180, Loss: 0.1184
Epoch 13 Batch 229/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9218, Loss: 0.1134
Epoch 13 Batch 230/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9232, Loss: 0.1206
Epoch 13 Batch 231/269 - Train Accuracy: 0.9026, Validation Accuracy: 0.9165, Loss: 0.1292
Epoch 13 Batch 232/269 - Train Accuracy: 0.9004, Validation Accuracy: 0.9124, Loss: 0.1175
Epoch 13 Batch 233/269 - Train Accuracy: 0.9160, Validation Accuracy: 0.9174, Loss: 0.1286
Epoch 13 Batch 234/269 - Train Accuracy: 0.9042, Validation Accuracy: 0.9185, Loss: 0.1174
Epoch 13 Batch 235/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9203, Loss: 0.1107
Epoch 13 Batch 236/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9203, Loss: 0.1170
Epoch 13 Batch 237/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9200, Loss: 0.1143
Epoch 13 Batch 238/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9234, Loss: 0.1189
Epoch 13 Batch 239/269 - Train Accuracy: 0.9010, Validation Accuracy: 0.9221, Loss: 0.1172
Epoch 13 Batch 240/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9154, Loss: 0.1122
Epoch 13 Batch 241/269 - Train Accuracy: 0.9062, Validation Accuracy: 0.9134, Loss: 0.1363
Epoch 13 Batch 242/269 - Train Accuracy: 0.9310, Validation Accuracy: 0.9138, Loss: 0.1149
Epoch 13 Batch 243/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9127, Loss: 0.1051
Epoch 13 Batch 244/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9123, Loss: 0.1232
Epoch 13 Batch 245/269 - Train Accuracy: 0.8935, Validation Accuracy: 0.9142, Loss: 0.1255
Epoch 13 Batch 246/269 - Train Accuracy: 0.9100, Validation Accuracy: 0.9178, Loss: 0.1196
Epoch 13 Batch 247/269 - Train Accuracy: 0.9232, Validation Accuracy: 0.9249, Loss: 0.1209
Epoch 13 Batch 248/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.9235, Loss: 0.1091
Epoch 13 Batch 249/269 - Train Accuracy: 0.9145, Validation Accuracy: 0.9205, Loss: 0.1114
Epoch 13 Batch 250/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9238, Loss: 0.1174
Epoch 13 Batch 251/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9234, Loss: 0.1200
Epoch 13 Batch 252/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9209, Loss: 0.1120
Epoch 13 Batch 253/269 - Train Accuracy: 0.8938, Validation Accuracy: 0.9113, Loss: 0.1246
Epoch 13 Batch 254/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9152, Loss: 0.1154
Epoch 13 Batch 255/269 - Train Accuracy: 0.9191, Validation Accuracy: 0.9236, Loss: 0.1228
Epoch 13 Batch 256/269 - Train Accuracy: 0.8982, Validation Accuracy: 0.9245, Loss: 0.1211
Epoch 13 Batch 257/269 - Train Accuracy: 0.8954, Validation Accuracy: 0.9280, Loss: 0.1257
Epoch 13 Batch 258/269 - Train Accuracy: 0.9066, Validation Accuracy: 0.9113, Loss: 0.1320
Epoch 13 Batch 259/269 - Train Accuracy: 0.9118, Validation Accuracy: 0.9205, Loss: 0.1166
Epoch 13 Batch 260/269 - Train Accuracy: 0.8996, Validation Accuracy: 0.9250, Loss: 0.1302
Epoch 13 Batch 261/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9219, Loss: 0.1239
Epoch 13 Batch 262/269 - Train Accuracy: 0.9152, Validation Accuracy: 0.9196, Loss: 0.1256
Epoch 13 Batch 263/269 - Train Accuracy: 0.9011, Validation Accuracy: 0.9235, Loss: 0.1241
Epoch 13 Batch 264/269 - Train Accuracy: 0.8933, Validation Accuracy: 0.9284, Loss: 0.1285
Epoch 13 Batch 265/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9193, Loss: 0.1161
Epoch 13 Batch 266/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9165, Loss: 0.1123
Epoch 13 Batch 267/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9259, Loss: 0.1260
Epoch 14 Batch 1/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9141, Loss: 0.1167
Epoch 14 Batch 2/269 - Train Accuracy: 0.9149, Validation Accuracy: 0.9131, Loss: 0.1232
Epoch 14 Batch 3/269 - Train Accuracy: 0.9271, Validation Accuracy: 0.9196, Loss: 0.1206
Epoch 14 Batch 4/269 - Train Accuracy: 0.8981, Validation Accuracy: 0.9189, Loss: 0.1208
Epoch 14 Batch 5/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9173, Loss: 0.1238
Epoch 14 Batch 6/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9189, Loss: 0.1128
Epoch 14 Batch 7/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9240, Loss: 0.1113
Epoch 14 Batch 8/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9194, Loss: 0.1227
Epoch 14 Batch 9/269 - Train Accuracy: 0.9066, Validation Accuracy: 0.9143, Loss: 0.1265
Epoch 14 Batch 10/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9184, Loss: 0.1124
Epoch 14 Batch 11/269 - Train Accuracy: 0.9101, Validation Accuracy: 0.9259, Loss: 0.1287
Epoch 14 Batch 12/269 - Train Accuracy: 0.9026, Validation Accuracy: 0.9215, Loss: 0.1219
Epoch 14 Batch 13/269 - Train Accuracy: 0.9073, Validation Accuracy: 0.9191, Loss: 0.1040
Epoch 14 Batch 14/269 - Train Accuracy: 0.9013, Validation Accuracy: 0.9118, Loss: 0.1195
Epoch 14 Batch 15/269 - Train Accuracy: 0.9099, Validation Accuracy: 0.9162, Loss: 0.1080
Epoch 14 Batch 16/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9248, Loss: 0.1204
Epoch 14 Batch 17/269 - Train Accuracy: 0.9137, Validation Accuracy: 0.9222, Loss: 0.1074
Epoch 14 Batch 18/269 - Train Accuracy: 0.9148, Validation Accuracy: 0.9173, Loss: 0.1223
Epoch 14 Batch 19/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9140, Loss: 0.1086
Epoch 14 Batch 20/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9178, Loss: 0.1135
Epoch 14 Batch 21/269 - Train Accuracy: 0.8920, Validation Accuracy: 0.9179, Loss: 0.1261
Epoch 14 Batch 22/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9194, Loss: 0.1087
Epoch 14 Batch 23/269 - Train Accuracy: 0.9045, Validation Accuracy: 0.9157, Loss: 0.1252
Epoch 14 Batch 24/269 - Train Accuracy: 0.9079, Validation Accuracy: 0.9200, Loss: 0.1174
Epoch 14 Batch 25/269 - Train Accuracy: 0.9048, Validation Accuracy: 0.9197, Loss: 0.1276
Epoch 14 Batch 26/269 - Train Accuracy: 0.9155, Validation Accuracy: 0.9256, Loss: 0.1095
Epoch 14 Batch 27/269 - Train Accuracy: 0.9021, Validation Accuracy: 0.9218, Loss: 0.1143
Epoch 14 Batch 28/269 - Train Accuracy: 0.8856, Validation Accuracy: 0.9120, Loss: 0.1274
Epoch 14 Batch 29/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9135, Loss: 0.1222
Epoch 14 Batch 30/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9247, Loss: 0.1141
Epoch 14 Batch 31/269 - Train Accuracy: 0.9187, Validation Accuracy: 0.9230, Loss: 0.1135
Epoch 14 Batch 32/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9269, Loss: 0.1090
Epoch 14 Batch 33/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9237, Loss: 0.1078
Epoch 14 Batch 34/269 - Train Accuracy: 0.9126, Validation Accuracy: 0.9217, Loss: 0.1121
Epoch 14 Batch 35/269 - Train Accuracy: 0.9069, Validation Accuracy: 0.9215, Loss: 0.1332
Epoch 14 Batch 36/269 - Train Accuracy: 0.8963, Validation Accuracy: 0.9213, Loss: 0.1177
Epoch 14 Batch 37/269 - Train Accuracy: 0.9174, Validation Accuracy: 0.9177, Loss: 0.1159
Epoch 14 Batch 38/269 - Train Accuracy: 0.9038, Validation Accuracy: 0.9116, Loss: 0.1144
Epoch 14 Batch 39/269 - Train Accuracy: 0.9143, Validation Accuracy: 0.9110, Loss: 0.1159
Epoch 14 Batch 40/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9148, Loss: 0.1235
Epoch 14 Batch 41/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9258, Loss: 0.1215
Epoch 14 Batch 42/269 - Train Accuracy: 0.9210, Validation Accuracy: 0.9209, Loss: 0.1110
Epoch 14 Batch 43/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9182, Loss: 0.1164
Epoch 14 Batch 44/269 - Train Accuracy: 0.9098, Validation Accuracy: 0.9178, Loss: 0.1205
Epoch 14 Batch 45/269 - Train Accuracy: 0.9097, Validation Accuracy: 0.9182, Loss: 0.1237
Epoch 14 Batch 46/269 - Train Accuracy: 0.9199, Validation Accuracy: 0.9215, Loss: 0.1102
Epoch 14 Batch 47/269 - Train Accuracy: 0.9317, Validation Accuracy: 0.9230, Loss: 0.1037
Epoch 14 Batch 48/269 - Train Accuracy: 0.9295, Validation Accuracy: 0.9219, Loss: 0.1090
Epoch 14 Batch 49/269 - Train Accuracy: 0.9157, Validation Accuracy: 0.9163, Loss: 0.1086
Epoch 14 Batch 50/269 - Train Accuracy: 0.9021, Validation Accuracy: 0.9136, Loss: 0.1252
Epoch 14 Batch 51/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9157, Loss: 0.1217
Epoch 14 Batch 52/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9178, Loss: 0.1023
Epoch 14 Batch 53/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9179, Loss: 0.1243
Epoch 14 Batch 54/269 - Train Accuracy: 0.9163, Validation Accuracy: 0.9253, Loss: 0.1142
Epoch 14 Batch 55/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9218, Loss: 0.1138
Epoch 14 Batch 56/269 - Train Accuracy: 0.9154, Validation Accuracy: 0.9160, Loss: 0.1179
Epoch 14 Batch 57/269 - Train Accuracy: 0.9162, Validation Accuracy: 0.9150, Loss: 0.1203
Epoch 14 Batch 58/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9110, Loss: 0.1128
Epoch 14 Batch 59/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9244, Loss: 0.1026
Epoch 14 Batch 60/269 - Train Accuracy: 0.9112, Validation Accuracy: 0.9218, Loss: 0.1103
Epoch 14 Batch 61/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9259, Loss: 0.1084
Epoch 14 Batch 62/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9191, Loss: 0.1121
Epoch 14 Batch 63/269 - Train Accuracy: 0.8970, Validation Accuracy: 0.9196, Loss: 0.1282
Epoch 14 Batch 64/269 - Train Accuracy: 0.9239, Validation Accuracy: 0.9188, Loss: 0.1061
Epoch 14 Batch 65/269 - Train Accuracy: 0.9085, Validation Accuracy: 0.9290, Loss: 0.1173
Epoch 14 Batch 66/269 - Train Accuracy: 0.9057, Validation Accuracy: 0.9244, Loss: 0.1179
Epoch 14 Batch 67/269 - Train Accuracy: 0.9089, Validation Accuracy: 0.9233, Loss: 0.1276
Epoch 14 Batch 68/269 - Train Accuracy: 0.9036, Validation Accuracy: 0.9118, Loss: 0.1251
Epoch 14 Batch 69/269 - Train Accuracy: 0.8935, Validation Accuracy: 0.9153, Loss: 0.1355
Epoch 14 Batch 70/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9212, Loss: 0.1206
Epoch 14 Batch 71/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9238, Loss: 0.1229
Epoch 14 Batch 72/269 - Train Accuracy: 0.9085, Validation Accuracy: 0.9205, Loss: 0.1241
Epoch 14 Batch 73/269 - Train Accuracy: 0.8931, Validation Accuracy: 0.9237, Loss: 0.1323
Epoch 14 Batch 74/269 - Train Accuracy: 0.9337, Validation Accuracy: 0.9186, Loss: 0.1149
Epoch 14 Batch 75/269 - Train Accuracy: 0.9158, Validation Accuracy: 0.9153, Loss: 0.1189
Epoch 14 Batch 76/269 - Train Accuracy: 0.9056, Validation Accuracy: 0.9192, Loss: 0.1153
Epoch 14 Batch 77/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9219, Loss: 0.1099
Epoch 14 Batch 78/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9224, Loss: 0.1099
Epoch 14 Batch 79/269 - Train Accuracy: 0.9033, Validation Accuracy: 0.9132, Loss: 0.1089
Epoch 14 Batch 80/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9141, Loss: 0.1108
Epoch 14 Batch 81/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9254, Loss: 0.1304
Epoch 14 Batch 82/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9230, Loss: 0.1073
Epoch 14 Batch 83/269 - Train Accuracy: 0.8889, Validation Accuracy: 0.9150, Loss: 0.1238
Epoch 14 Batch 84/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9071, Loss: 0.1084
Epoch 14 Batch 85/269 - Train Accuracy: 0.9129, Validation Accuracy: 0.9110, Loss: 0.1150
Epoch 14 Batch 86/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9177, Loss: 0.1135
Epoch 14 Batch 87/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9179, Loss: 0.1179
Epoch 14 Batch 88/269 - Train Accuracy: 0.8865, Validation Accuracy: 0.9153, Loss: 0.1181
Epoch 14 Batch 89/269 - Train Accuracy: 0.9242, Validation Accuracy: 0.9219, Loss: 0.1178
Epoch 14 Batch 90/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9122, Loss: 0.1199
Epoch 14 Batch 91/269 - Train Accuracy: 0.9286, Validation Accuracy: 0.9094, Loss: 0.1140
Epoch 14 Batch 92/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9140, Loss: 0.1147
Epoch 14 Batch 93/269 - Train Accuracy: 0.9208, Validation Accuracy: 0.9220, Loss: 0.1116
Epoch 14 Batch 94/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9182, Loss: 0.1284
Epoch 14 Batch 95/269 - Train Accuracy: 0.9126, Validation Accuracy: 0.9177, Loss: 0.1096
Epoch 14 Batch 96/269 - Train Accuracy: 0.9040, Validation Accuracy: 0.9123, Loss: 0.1193
Epoch 14 Batch 97/269 - Train Accuracy: 0.9127, Validation Accuracy: 0.9230, Loss: 0.1178
Epoch 14 Batch 98/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9151, Loss: 0.1165
Epoch 14 Batch 99/269 - Train Accuracy: 0.9060, Validation Accuracy: 0.9225, Loss: 0.1173
Epoch 14 Batch 100/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9178, Loss: 0.1145
Epoch 14 Batch 101/269 - Train Accuracy: 0.9064, Validation Accuracy: 0.9156, Loss: 0.1276
Epoch 14 Batch 102/269 - Train Accuracy: 0.9124, Validation Accuracy: 0.9214, Loss: 0.1119
Epoch 14 Batch 103/269 - Train Accuracy: 0.9190, Validation Accuracy: 0.9267, Loss: 0.1235
Epoch 14 Batch 104/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9264, Loss: 0.1171
Epoch 14 Batch 105/269 - Train Accuracy: 0.9027, Validation Accuracy: 0.9269, Loss: 0.1157
Epoch 14 Batch 106/269 - Train Accuracy: 0.9159, Validation Accuracy: 0.9216, Loss: 0.1078
Epoch 14 Batch 107/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9201, Loss: 0.1169
Epoch 14 Batch 108/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9273, Loss: 0.1154
Epoch 14 Batch 109/269 - Train Accuracy: 0.8985, Validation Accuracy: 0.9295, Loss: 0.1181
Epoch 14 Batch 110/269 - Train Accuracy: 0.9226, Validation Accuracy: 0.9256, Loss: 0.1074
Epoch 14 Batch 111/269 - Train Accuracy: 0.9028, Validation Accuracy: 0.9239, Loss: 0.1232
Epoch 14 Batch 112/269 - Train Accuracy: 0.9154, Validation Accuracy: 0.9231, Loss: 0.1205
Epoch 14 Batch 113/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9258, Loss: 0.1133
Epoch 14 Batch 114/269 - Train Accuracy: 0.9202, Validation Accuracy: 0.9200, Loss: 0.1150
Epoch 14 Batch 115/269 - Train Accuracy: 0.9033, Validation Accuracy: 0.9192, Loss: 0.1247
Epoch 14 Batch 116/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9198, Loss: 0.1169
Epoch 14 Batch 117/269 - Train Accuracy: 0.9113, Validation Accuracy: 0.9223, Loss: 0.1116
Epoch 14 Batch 118/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9239, Loss: 0.1085
Epoch 14 Batch 119/269 - Train Accuracy: 0.9012, Validation Accuracy: 0.9165, Loss: 0.1235
Epoch 14 Batch 120/269 - Train Accuracy: 0.9202, Validation Accuracy: 0.9249, Loss: 0.1102
Epoch 14 Batch 121/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9279, Loss: 0.1046
Epoch 14 Batch 122/269 - Train Accuracy: 0.9185, Validation Accuracy: 0.9310, Loss: 0.1113
Epoch 14 Batch 123/269 - Train Accuracy: 0.9091, Validation Accuracy: 0.9279, Loss: 0.1151
Epoch 14 Batch 124/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9189, Loss: 0.1040
Epoch 14 Batch 125/269 - Train Accuracy: 0.9221, Validation Accuracy: 0.9165, Loss: 0.1088
Epoch 14 Batch 126/269 - Train Accuracy: 0.9057, Validation Accuracy: 0.9157, Loss: 0.1155
Epoch 14 Batch 127/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9169, Loss: 0.1191
Epoch 14 Batch 128/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9278, Loss: 0.1156
Epoch 14 Batch 129/269 - Train Accuracy: 0.9073, Validation Accuracy: 0.9248, Loss: 0.1119
Epoch 14 Batch 130/269 - Train Accuracy: 0.9260, Validation Accuracy: 0.9193, Loss: 0.1145
Epoch 14 Batch 131/269 - Train Accuracy: 0.9060, Validation Accuracy: 0.9205, Loss: 0.1139
Epoch 14 Batch 132/269 - Train Accuracy: 0.9053, Validation Accuracy: 0.9227, Loss: 0.1157
Epoch 14 Batch 133/269 - Train Accuracy: 0.9220, Validation Accuracy: 0.9216, Loss: 0.1011
Epoch 14 Batch 134/269 - Train Accuracy: 0.9124, Validation Accuracy: 0.9142, Loss: 0.1161
Epoch 14 Batch 135/269 - Train Accuracy: 0.9251, Validation Accuracy: 0.9166, Loss: 0.1159
Epoch 14 Batch 136/269 - Train Accuracy: 0.8986, Validation Accuracy: 0.9197, Loss: 0.1267
Epoch 14 Batch 137/269 - Train Accuracy: 0.9078, Validation Accuracy: 0.9260, Loss: 0.1234
Epoch 14 Batch 138/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9221, Loss: 0.1096
Epoch 14 Batch 139/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9148, Loss: 0.1009
Epoch 14 Batch 140/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9156, Loss: 0.1215
Epoch 14 Batch 141/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9139, Loss: 0.1211
Epoch 14 Batch 142/269 - Train Accuracy: 0.9048, Validation Accuracy: 0.9134, Loss: 0.1050
Epoch 14 Batch 143/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9150, Loss: 0.1098
Epoch 14 Batch 144/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9171, Loss: 0.0977
Epoch 14 Batch 145/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9158, Loss: 0.1050
Epoch 14 Batch 146/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9195, Loss: 0.1042
Epoch 14 Batch 147/269 - Train Accuracy: 0.9226, Validation Accuracy: 0.9229, Loss: 0.1184
Epoch 14 Batch 148/269 - Train Accuracy: 0.9021, Validation Accuracy: 0.9198, Loss: 0.1144
Epoch 14 Batch 149/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9195, Loss: 0.1202
Epoch 14 Batch 150/269 - Train Accuracy: 0.9179, Validation Accuracy: 0.9212, Loss: 0.1174
Epoch 14 Batch 151/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9236, Loss: 0.1098
Epoch 14 Batch 152/269 - Train Accuracy: 0.9189, Validation Accuracy: 0.9215, Loss: 0.1094
Epoch 14 Batch 153/269 - Train Accuracy: 0.9297, Validation Accuracy: 0.9213, Loss: 0.1044
Epoch 14 Batch 154/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9189, Loss: 0.1097
Epoch 14 Batch 155/269 - Train Accuracy: 0.9083, Validation Accuracy: 0.9240, Loss: 0.1064
Epoch 14 Batch 156/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9202, Loss: 0.1163
Epoch 14 Batch 157/269 - Train Accuracy: 0.8954, Validation Accuracy: 0.9157, Loss: 0.1053
Epoch 14 Batch 158/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9222, Loss: 0.1130
Epoch 14 Batch 159/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9195, Loss: 0.1083
Epoch 14 Batch 160/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9190, Loss: 0.1071
Epoch 14 Batch 161/269 - Train Accuracy: 0.9162, Validation Accuracy: 0.9177, Loss: 0.1072
Epoch 14 Batch 162/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9172, Loss: 0.1120
Epoch 14 Batch 163/269 - Train Accuracy: 0.9301, Validation Accuracy: 0.9216, Loss: 0.1156
Epoch 14 Batch 164/269 - Train Accuracy: 0.9274, Validation Accuracy: 0.9283, Loss: 0.1117
Epoch 14 Batch 165/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9227, Loss: 0.1065
Epoch 14 Batch 166/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9223, Loss: 0.1094
Epoch 14 Batch 167/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9237, Loss: 0.1161
Epoch 14 Batch 168/269 - Train Accuracy: 0.9089, Validation Accuracy: 0.9249, Loss: 0.1132
Epoch 14 Batch 169/269 - Train Accuracy: 0.9023, Validation Accuracy: 0.9162, Loss: 0.1162
Epoch 14 Batch 170/269 - Train Accuracy: 0.9035, Validation Accuracy: 0.9184, Loss: 0.1044
Epoch 14 Batch 171/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9197, Loss: 0.1079
Epoch 14 Batch 172/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9161, Loss: 0.1245
Epoch 14 Batch 173/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9237, Loss: 0.1039
Epoch 14 Batch 174/269 - Train Accuracy: 0.9287, Validation Accuracy: 0.9229, Loss: 0.1120
Epoch 14 Batch 175/269 - Train Accuracy: 0.9035, Validation Accuracy: 0.9235, Loss: 0.1357
Epoch 14 Batch 176/269 - Train Accuracy: 0.8959, Validation Accuracy: 0.9147, Loss: 0.1231
Epoch 14 Batch 177/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9132, Loss: 0.1087
Epoch 14 Batch 178/269 - Train Accuracy: 0.9155, Validation Accuracy: 0.9195, Loss: 0.1105
Epoch 14 Batch 179/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9185, Loss: 0.1066
Epoch 14 Batch 180/269 - Train Accuracy: 0.9238, Validation Accuracy: 0.9280, Loss: 0.1036
Epoch 14 Batch 181/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9251, Loss: 0.1155
Epoch 14 Batch 182/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9200, Loss: 0.1078
Epoch 14 Batch 183/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9176, Loss: 0.0941
Epoch 14 Batch 184/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.9189, Loss: 0.1150
Epoch 14 Batch 185/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9187, Loss: 0.1177
Epoch 14 Batch 186/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9270, Loss: 0.1019
Epoch 14 Batch 187/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9226, Loss: 0.1131
Epoch 14 Batch 188/269 - Train Accuracy: 0.9226, Validation Accuracy: 0.9233, Loss: 0.1026
Epoch 14 Batch 189/269 - Train Accuracy: 0.9191, Validation Accuracy: 0.9209, Loss: 0.1014
Epoch 14 Batch 190/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9111, Loss: 0.1033
Epoch 14 Batch 191/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.9217, Loss: 0.1065
Epoch 14 Batch 192/269 - Train Accuracy: 0.9144, Validation Accuracy: 0.9245, Loss: 0.1075
Epoch 14 Batch 193/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9256, Loss: 0.1094
Epoch 14 Batch 194/269 - Train Accuracy: 0.9078, Validation Accuracy: 0.9281, Loss: 0.1111
Epoch 14 Batch 195/269 - Train Accuracy: 0.9126, Validation Accuracy: 0.9248, Loss: 0.1097
Epoch 14 Batch 196/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9229, Loss: 0.1061
Epoch 14 Batch 197/269 - Train Accuracy: 0.9085, Validation Accuracy: 0.9213, Loss: 0.1109
Epoch 14 Batch 198/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9269, Loss: 0.1160
Epoch 14 Batch 199/269 - Train Accuracy: 0.9301, Validation Accuracy: 0.9223, Loss: 0.1101
Epoch 14 Batch 200/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9131, Loss: 0.1165
Epoch 14 Batch 201/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9199, Loss: 0.1194
Epoch 14 Batch 202/269 - Train Accuracy: 0.9112, Validation Accuracy: 0.9224, Loss: 0.1062
Epoch 14 Batch 203/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9244, Loss: 0.1184
Epoch 14 Batch 204/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9226, Loss: 0.1116
Epoch 14 Batch 205/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9205, Loss: 0.1060
Epoch 14 Batch 206/269 - Train Accuracy: 0.9021, Validation Accuracy: 0.9238, Loss: 0.1205
Epoch 14 Batch 207/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9221, Loss: 0.1085
Epoch 14 Batch 208/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9203, Loss: 0.1138
Epoch 14 Batch 209/269 - Train Accuracy: 0.9252, Validation Accuracy: 0.9138, Loss: 0.1003
Epoch 14 Batch 210/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9261, Loss: 0.1082
Epoch 14 Batch 211/269 - Train Accuracy: 0.9162, Validation Accuracy: 0.9330, Loss: 0.1163
Epoch 14 Batch 212/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9329, Loss: 0.1117
Epoch 14 Batch 213/269 - Train Accuracy: 0.9144, Validation Accuracy: 0.9208, Loss: 0.1075
Epoch 14 Batch 214/269 - Train Accuracy: 0.9045, Validation Accuracy: 0.9229, Loss: 0.1053
Epoch 14 Batch 215/269 - Train Accuracy: 0.9184, Validation Accuracy: 0.9352, Loss: 0.1071
Epoch 14 Batch 216/269 - Train Accuracy: 0.9132, Validation Accuracy: 0.9384, Loss: 0.1230
Epoch 14 Batch 217/269 - Train Accuracy: 0.9051, Validation Accuracy: 0.9313, Loss: 0.1148
Epoch 14 Batch 218/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9285, Loss: 0.1077
Epoch 14 Batch 219/269 - Train Accuracy: 0.9266, Validation Accuracy: 0.9334, Loss: 0.1137
Epoch 14 Batch 220/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9353, Loss: 0.1037
Epoch 14 Batch 221/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9265, Loss: 0.1084
Epoch 14 Batch 222/269 - Train Accuracy: 0.9298, Validation Accuracy: 0.9277, Loss: 0.1020
Epoch 14 Batch 223/269 - Train Accuracy: 0.9001, Validation Accuracy: 0.9293, Loss: 0.1017
Epoch 14 Batch 224/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9260, Loss: 0.1300
Epoch 14 Batch 225/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9302, Loss: 0.1046
Epoch 14 Batch 226/269 - Train Accuracy: 0.9134, Validation Accuracy: 0.9329, Loss: 0.1156
Epoch 14 Batch 227/269 - Train Accuracy: 0.9284, Validation Accuracy: 0.9223, Loss: 0.1186
Epoch 14 Batch 228/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9173, Loss: 0.1141
Epoch 14 Batch 229/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9258, Loss: 0.1183
Epoch 14 Batch 230/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9254, Loss: 0.1114
Epoch 14 Batch 231/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9250, Loss: 0.1266
Epoch 14 Batch 232/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9123, Loss: 0.1065
Epoch 14 Batch 233/269 - Train Accuracy: 0.9260, Validation Accuracy: 0.9236, Loss: 0.1192
Epoch 14 Batch 234/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9220, Loss: 0.1030
Epoch 14 Batch 235/269 - Train Accuracy: 0.9388, Validation Accuracy: 0.9179, Loss: 0.1032
Epoch 14 Batch 236/269 - Train Accuracy: 0.9048, Validation Accuracy: 0.9144, Loss: 0.1005
Epoch 14 Batch 237/269 - Train Accuracy: 0.9179, Validation Accuracy: 0.9223, Loss: 0.1117
Epoch 14 Batch 238/269 - Train Accuracy: 0.9138, Validation Accuracy: 0.9227, Loss: 0.1055
Epoch 14 Batch 239/269 - Train Accuracy: 0.9101, Validation Accuracy: 0.9228, Loss: 0.1108
Epoch 14 Batch 240/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9149, Loss: 0.0983
Epoch 14 Batch 241/269 - Train Accuracy: 0.9131, Validation Accuracy: 0.9181, Loss: 0.1194
Epoch 14 Batch 242/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9229, Loss: 0.1060
Epoch 14 Batch 243/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9181, Loss: 0.0991
Epoch 14 Batch 244/269 - Train Accuracy: 0.9089, Validation Accuracy: 0.9229, Loss: 0.1120
Epoch 14 Batch 245/269 - Train Accuracy: 0.8933, Validation Accuracy: 0.9263, Loss: 0.1092
Epoch 14 Batch 246/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9301, Loss: 0.1102
Epoch 14 Batch 247/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9300, Loss: 0.1116
Epoch 14 Batch 248/269 - Train Accuracy: 0.9225, Validation Accuracy: 0.9193, Loss: 0.1008
Epoch 14 Batch 249/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9214, Loss: 0.0970
Epoch 14 Batch 250/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9187, Loss: 0.1064
Epoch 14 Batch 251/269 - Train Accuracy: 0.9428, Validation Accuracy: 0.9266, Loss: 0.1002
Epoch 14 Batch 252/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9276, Loss: 0.0970
Epoch 14 Batch 253/269 - Train Accuracy: 0.8930, Validation Accuracy: 0.9207, Loss: 0.1122
Epoch 14 Batch 254/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9171, Loss: 0.1023
Epoch 14 Batch 255/269 - Train Accuracy: 0.9185, Validation Accuracy: 0.9207, Loss: 0.1114
Epoch 14 Batch 256/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9243, Loss: 0.1076
Epoch 14 Batch 257/269 - Train Accuracy: 0.8936, Validation Accuracy: 0.9271, Loss: 0.1179
Epoch 14 Batch 258/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9238, Loss: 0.1203
Epoch 14 Batch 259/269 - Train Accuracy: 0.9200, Validation Accuracy: 0.9197, Loss: 0.1071
Epoch 14 Batch 260/269 - Train Accuracy: 0.9130, Validation Accuracy: 0.9258, Loss: 0.1086
Epoch 14 Batch 261/269 - Train Accuracy: 0.9057, Validation Accuracy: 0.9308, Loss: 0.1095
Epoch 14 Batch 262/269 - Train Accuracy: 0.9271, Validation Accuracy: 0.9324, Loss: 0.1068
Epoch 14 Batch 263/269 - Train Accuracy: 0.9080, Validation Accuracy: 0.9237, Loss: 0.1069
Epoch 14 Batch 264/269 - Train Accuracy: 0.8994, Validation Accuracy: 0.9179, Loss: 0.1147
Epoch 14 Batch 265/269 - Train Accuracy: 0.9161, Validation Accuracy: 0.9213, Loss: 0.1075
Epoch 14 Batch 266/269 - Train Accuracy: 0.9204, Validation Accuracy: 0.9315, Loss: 0.1051
Epoch 14 Batch 267/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9257, Loss: 0.1133
Epoch 15 Batch 1/269 - Train Accuracy: 0.9180, Validation Accuracy: 0.9244, Loss: 0.0990
Epoch 15 Batch 2/269 - Train Accuracy: 0.9200, Validation Accuracy: 0.9225, Loss: 0.1079
Epoch 15 Batch 3/269 - Train Accuracy: 0.9311, Validation Accuracy: 0.9274, Loss: 0.1088
Epoch 15 Batch 4/269 - Train Accuracy: 0.9026, Validation Accuracy: 0.9274, Loss: 0.1123
Epoch 15 Batch 5/269 - Train Accuracy: 0.9188, Validation Accuracy: 0.9244, Loss: 0.1065
Epoch 15 Batch 6/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9274, Loss: 0.0975
Epoch 15 Batch 7/269 - Train Accuracy: 0.9269, Validation Accuracy: 0.9292, Loss: 0.0990
Epoch 15 Batch 8/269 - Train Accuracy: 0.9350, Validation Accuracy: 0.9298, Loss: 0.1064
Epoch 15 Batch 9/269 - Train Accuracy: 0.9137, Validation Accuracy: 0.9282, Loss: 0.1112
Epoch 15 Batch 10/269 - Train Accuracy: 0.9178, Validation Accuracy: 0.9237, Loss: 0.1053
Epoch 15 Batch 11/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9231, Loss: 0.1122
Epoch 15 Batch 12/269 - Train Accuracy: 0.9184, Validation Accuracy: 0.9250, Loss: 0.1147
Epoch 15 Batch 13/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9222, Loss: 0.0963
Epoch 15 Batch 14/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9195, Loss: 0.1007
Epoch 15 Batch 15/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9206, Loss: 0.0946
Epoch 15 Batch 16/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9296, Loss: 0.1073
Epoch 15 Batch 17/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9266, Loss: 0.0885
Epoch 15 Batch 18/269 - Train Accuracy: 0.9200, Validation Accuracy: 0.9208, Loss: 0.1078
Epoch 15 Batch 19/269 - Train Accuracy: 0.9266, Validation Accuracy: 0.9159, Loss: 0.0954
Epoch 15 Batch 20/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9192, Loss: 0.1017
Epoch 15 Batch 21/269 - Train Accuracy: 0.8915, Validation Accuracy: 0.9219, Loss: 0.1156
Epoch 15 Batch 22/269 - Train Accuracy: 0.9379, Validation Accuracy: 0.9268, Loss: 0.0922
Epoch 15 Batch 23/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9297, Loss: 0.1087
Epoch 15 Batch 24/269 - Train Accuracy: 0.9144, Validation Accuracy: 0.9276, Loss: 0.1019
Epoch 15 Batch 25/269 - Train Accuracy: 0.9067, Validation Accuracy: 0.9170, Loss: 0.1104
Epoch 15 Batch 26/269 - Train Accuracy: 0.9243, Validation Accuracy: 0.9243, Loss: 0.0945
Epoch 15 Batch 27/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9280, Loss: 0.0966
Epoch 15 Batch 28/269 - Train Accuracy: 0.9032, Validation Accuracy: 0.9261, Loss: 0.1180
Epoch 15 Batch 29/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9238, Loss: 0.1067
Epoch 15 Batch 30/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9278, Loss: 0.1047
Epoch 15 Batch 31/269 - Train Accuracy: 0.9234, Validation Accuracy: 0.9285, Loss: 0.1033
Epoch 15 Batch 32/269 - Train Accuracy: 0.9260, Validation Accuracy: 0.9252, Loss: 0.0981
Epoch 15 Batch 33/269 - Train Accuracy: 0.9158, Validation Accuracy: 0.9275, Loss: 0.0930
Epoch 15 Batch 34/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9308, Loss: 0.1036
Epoch 15 Batch 35/269 - Train Accuracy: 0.9157, Validation Accuracy: 0.9285, Loss: 0.1103
Epoch 15 Batch 36/269 - Train Accuracy: 0.9000, Validation Accuracy: 0.9264, Loss: 0.1074
Epoch 15 Batch 37/269 - Train Accuracy: 0.9186, Validation Accuracy: 0.9185, Loss: 0.1048
Epoch 15 Batch 38/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9163, Loss: 0.1009
Epoch 15 Batch 39/269 - Train Accuracy: 0.9176, Validation Accuracy: 0.9242, Loss: 0.1019
Epoch 15 Batch 40/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9233, Loss: 0.1068
Epoch 15 Batch 41/269 - Train Accuracy: 0.9073, Validation Accuracy: 0.9247, Loss: 0.1119
Epoch 15 Batch 42/269 - Train Accuracy: 0.9310, Validation Accuracy: 0.9231, Loss: 0.0955
Epoch 15 Batch 43/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9258, Loss: 0.1105
Epoch 15 Batch 44/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9275, Loss: 0.1122
Epoch 15 Batch 45/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9232, Loss: 0.1102
Epoch 15 Batch 46/269 - Train Accuracy: 0.9114, Validation Accuracy: 0.9286, Loss: 0.0995
Epoch 15 Batch 47/269 - Train Accuracy: 0.9389, Validation Accuracy: 0.9309, Loss: 0.0900
Epoch 15 Batch 48/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9234, Loss: 0.0944
Epoch 15 Batch 49/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9263, Loss: 0.1032
Epoch 15 Batch 50/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9278, Loss: 0.1108
Epoch 15 Batch 51/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9297, Loss: 0.1014
Epoch 15 Batch 52/269 - Train Accuracy: 0.9150, Validation Accuracy: 0.9303, Loss: 0.0944
Epoch 15 Batch 53/269 - Train Accuracy: 0.9151, Validation Accuracy: 0.9274, Loss: 0.1128
Epoch 15 Batch 54/269 - Train Accuracy: 0.9173, Validation Accuracy: 0.9251, Loss: 0.1027
Epoch 15 Batch 55/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9284, Loss: 0.1014
Epoch 15 Batch 56/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9282, Loss: 0.1052
Epoch 15 Batch 57/269 - Train Accuracy: 0.9176, Validation Accuracy: 0.9316, Loss: 0.1167
Epoch 15 Batch 58/269 - Train Accuracy: 0.9174, Validation Accuracy: 0.9309, Loss: 0.1008
Epoch 15 Batch 59/269 - Train Accuracy: 0.9435, Validation Accuracy: 0.9313, Loss: 0.0883
Epoch 15 Batch 60/269 - Train Accuracy: 0.9185, Validation Accuracy: 0.9243, Loss: 0.0972
Epoch 15 Batch 61/269 - Train Accuracy: 0.9290, Validation Accuracy: 0.9263, Loss: 0.0921
Epoch 15 Batch 62/269 - Train Accuracy: 0.9200, Validation Accuracy: 0.9330, Loss: 0.1049
Epoch 15 Batch 63/269 - Train Accuracy: 0.9144, Validation Accuracy: 0.9272, Loss: 0.1134
Epoch 15 Batch 64/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9254, Loss: 0.0945
Epoch 15 Batch 65/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9213, Loss: 0.0988
Epoch 15 Batch 66/269 - Train Accuracy: 0.9056, Validation Accuracy: 0.9165, Loss: 0.1033
Epoch 15 Batch 67/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9189, Loss: 0.1093
Epoch 15 Batch 68/269 - Train Accuracy: 0.9096, Validation Accuracy: 0.9218, Loss: 0.1077
Epoch 15 Batch 69/269 - Train Accuracy: 0.9039, Validation Accuracy: 0.9202, Loss: 0.1210
Epoch 15 Batch 70/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9230, Loss: 0.1017
Epoch 15 Batch 71/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9197, Loss: 0.1118
Epoch 15 Batch 72/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.9189, Loss: 0.1110
Epoch 15 Batch 73/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9236, Loss: 0.1127
Epoch 15 Batch 74/269 - Train Accuracy: 0.9445, Validation Accuracy: 0.9225, Loss: 0.0977
Epoch 15 Batch 75/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9205, Loss: 0.1061
Epoch 15 Batch 76/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9229, Loss: 0.1012
Epoch 15 Batch 77/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9225, Loss: 0.0957
Epoch 15 Batch 78/269 - Train Accuracy: 0.9244, Validation Accuracy: 0.9216, Loss: 0.0982
Epoch 15 Batch 79/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9272, Loss: 0.1029
Epoch 15 Batch 80/269 - Train Accuracy: 0.9174, Validation Accuracy: 0.9238, Loss: 0.1029
Epoch 15 Batch 81/269 - Train Accuracy: 0.9091, Validation Accuracy: 0.9259, Loss: 0.1159
Epoch 15 Batch 82/269 - Train Accuracy: 0.9349, Validation Accuracy: 0.9284, Loss: 0.0937
Epoch 15 Batch 83/269 - Train Accuracy: 0.9004, Validation Accuracy: 0.9276, Loss: 0.1115
Epoch 15 Batch 84/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9290, Loss: 0.0969
Epoch 15 Batch 85/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9275, Loss: 0.1015
Epoch 15 Batch 86/269 - Train Accuracy: 0.9163, Validation Accuracy: 0.9274, Loss: 0.0991
Epoch 15 Batch 87/269 - Train Accuracy: 0.9073, Validation Accuracy: 0.9333, Loss: 0.1079
Epoch 15 Batch 88/269 - Train Accuracy: 0.8973, Validation Accuracy: 0.9291, Loss: 0.1087
Epoch 15 Batch 89/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9302, Loss: 0.1008
Epoch 15 Batch 90/269 - Train Accuracy: 0.9181, Validation Accuracy: 0.9277, Loss: 0.1065
Epoch 15 Batch 91/269 - Train Accuracy: 0.9423, Validation Accuracy: 0.9236, Loss: 0.0925
Epoch 15 Batch 92/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9143, Loss: 0.0984
Epoch 15 Batch 93/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9186, Loss: 0.0947
Epoch 15 Batch 94/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9281, Loss: 0.1149
Epoch 15 Batch 95/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9276, Loss: 0.0984
Epoch 15 Batch 96/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9223, Loss: 0.1015
Epoch 15 Batch 97/269 - Train Accuracy: 0.9181, Validation Accuracy: 0.9214, Loss: 0.1030
Epoch 15 Batch 98/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9252, Loss: 0.1055
Epoch 15 Batch 99/269 - Train Accuracy: 0.9172, Validation Accuracy: 0.9306, Loss: 0.0980
Epoch 15 Batch 100/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9260, Loss: 0.1015
Epoch 15 Batch 101/269 - Train Accuracy: 0.9108, Validation Accuracy: 0.9260, Loss: 0.1162
Epoch 15 Batch 102/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9288, Loss: 0.0956
Epoch 15 Batch 103/269 - Train Accuracy: 0.9218, Validation Accuracy: 0.9303, Loss: 0.1084
Epoch 15 Batch 104/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9315, Loss: 0.0987
Epoch 15 Batch 105/269 - Train Accuracy: 0.9138, Validation Accuracy: 0.9316, Loss: 0.1004
Epoch 15 Batch 106/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9355, Loss: 0.0911
Epoch 15 Batch 107/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9304, Loss: 0.0998
Epoch 15 Batch 108/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9255, Loss: 0.1057
Epoch 15 Batch 109/269 - Train Accuracy: 0.9100, Validation Accuracy: 0.9235, Loss: 0.1068
Epoch 15 Batch 110/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9315, Loss: 0.0895
Epoch 15 Batch 111/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9328, Loss: 0.1115
Epoch 15 Batch 112/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9339, Loss: 0.1055
Epoch 15 Batch 113/269 - Train Accuracy: 0.9197, Validation Accuracy: 0.9340, Loss: 0.0987
Epoch 15 Batch 114/269 - Train Accuracy: 0.9218, Validation Accuracy: 0.9347, Loss: 0.1005
Epoch 15 Batch 115/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9304, Loss: 0.1053
Epoch 15 Batch 116/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9245, Loss: 0.1004
Epoch 15 Batch 117/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9246, Loss: 0.0983
Epoch 15 Batch 118/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9284, Loss: 0.0916
Epoch 15 Batch 119/269 - Train Accuracy: 0.9077, Validation Accuracy: 0.9308, Loss: 0.1063
Epoch 15 Batch 120/269 - Train Accuracy: 0.9231, Validation Accuracy: 0.9244, Loss: 0.1029
Epoch 15 Batch 121/269 - Train Accuracy: 0.9131, Validation Accuracy: 0.9272, Loss: 0.0923
Epoch 15 Batch 122/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9318, Loss: 0.0988
Epoch 15 Batch 123/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9243, Loss: 0.0986
Epoch 15 Batch 124/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9187, Loss: 0.0866
Epoch 15 Batch 125/269 - Train Accuracy: 0.9286, Validation Accuracy: 0.9174, Loss: 0.0953
Epoch 15 Batch 126/269 - Train Accuracy: 0.9130, Validation Accuracy: 0.9247, Loss: 0.1017
Epoch 15 Batch 127/269 - Train Accuracy: 0.9054, Validation Accuracy: 0.9316, Loss: 0.1003
Epoch 15 Batch 128/269 - Train Accuracy: 0.9165, Validation Accuracy: 0.9254, Loss: 0.1057
Epoch 15 Batch 129/269 - Train Accuracy: 0.9082, Validation Accuracy: 0.9173, Loss: 0.0959
Epoch 15 Batch 130/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9227, Loss: 0.1100
Epoch 15 Batch 131/269 - Train Accuracy: 0.9063, Validation Accuracy: 0.9316, Loss: 0.0967
Epoch 15 Batch 132/269 - Train Accuracy: 0.9090, Validation Accuracy: 0.9279, Loss: 0.1067
Epoch 15 Batch 133/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9286, Loss: 0.0907
Epoch 15 Batch 134/269 - Train Accuracy: 0.9119, Validation Accuracy: 0.9234, Loss: 0.0979
Epoch 15 Batch 135/269 - Train Accuracy: 0.9248, Validation Accuracy: 0.9174, Loss: 0.1049
Epoch 15 Batch 136/269 - Train Accuracy: 0.8914, Validation Accuracy: 0.9206, Loss: 0.1116
Epoch 15 Batch 137/269 - Train Accuracy: 0.9133, Validation Accuracy: 0.9276, Loss: 0.1053
Epoch 15 Batch 138/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9259, Loss: 0.0973
Epoch 15 Batch 139/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9213, Loss: 0.0945
Epoch 15 Batch 140/269 - Train Accuracy: 0.9216, Validation Accuracy: 0.9229, Loss: 0.1064
Epoch 15 Batch 141/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9249, Loss: 0.1076
Epoch 15 Batch 142/269 - Train Accuracy: 0.9149, Validation Accuracy: 0.9221, Loss: 0.0944
Epoch 15 Batch 143/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9259, Loss: 0.0957
Epoch 15 Batch 144/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9290, Loss: 0.0887
Epoch 15 Batch 145/269 - Train Accuracy: 0.9143, Validation Accuracy: 0.9258, Loss: 0.0956
Epoch 15 Batch 146/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9220, Loss: 0.0923
Epoch 15 Batch 147/269 - Train Accuracy: 0.9301, Validation Accuracy: 0.9242, Loss: 0.1006
Epoch 15 Batch 148/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9281, Loss: 0.1012
Epoch 15 Batch 149/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.9278, Loss: 0.1069
Epoch 15 Batch 150/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9290, Loss: 0.1014
Epoch 15 Batch 151/269 - Train Accuracy: 0.9109, Validation Accuracy: 0.9261, Loss: 0.1030
Epoch 15 Batch 152/269 - Train Accuracy: 0.9251, Validation Accuracy: 0.9259, Loss: 0.1043
Epoch 15 Batch 153/269 - Train Accuracy: 0.9282, Validation Accuracy: 0.9233, Loss: 0.0949
Epoch 15 Batch 154/269 - Train Accuracy: 0.9263, Validation Accuracy: 0.9263, Loss: 0.0945
Epoch 15 Batch 155/269 - Train Accuracy: 0.9110, Validation Accuracy: 0.9244, Loss: 0.0905
Epoch 15 Batch 156/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9233, Loss: 0.1085
Epoch 15 Batch 157/269 - Train Accuracy: 0.8969, Validation Accuracy: 0.9209, Loss: 0.0944
Epoch 15 Batch 158/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.9252, Loss: 0.0990
Epoch 15 Batch 159/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9273, Loss: 0.1068
Epoch 15 Batch 160/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9256, Loss: 0.0967
Epoch 15 Batch 161/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9267, Loss: 0.1006
Epoch 15 Batch 162/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9260, Loss: 0.0982
Epoch 15 Batch 163/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9312, Loss: 0.1011
Epoch 15 Batch 164/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9327, Loss: 0.0995
Epoch 15 Batch 165/269 - Train Accuracy: 0.9242, Validation Accuracy: 0.9254, Loss: 0.0981
Epoch 15 Batch 166/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9238, Loss: 0.0978
Epoch 15 Batch 167/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9272, Loss: 0.0953
Epoch 15 Batch 168/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9373, Loss: 0.1031
Epoch 15 Batch 169/269 - Train Accuracy: 0.9065, Validation Accuracy: 0.9350, Loss: 0.0993
Epoch 15 Batch 170/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9244, Loss: 0.0909
Epoch 15 Batch 171/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9280, Loss: 0.1015
Epoch 15 Batch 172/269 - Train Accuracy: 0.9158, Validation Accuracy: 0.9315, Loss: 0.1105
Epoch 15 Batch 173/269 - Train Accuracy: 0.9229, Validation Accuracy: 0.9300, Loss: 0.0904
Epoch 15 Batch 174/269 - Train Accuracy: 0.9373, Validation Accuracy: 0.9269, Loss: 0.1032
Epoch 15 Batch 175/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9282, Loss: 0.1201
Epoch 15 Batch 176/269 - Train Accuracy: 0.8986, Validation Accuracy: 0.9268, Loss: 0.1061
Epoch 15 Batch 177/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9268, Loss: 0.0950
Epoch 15 Batch 178/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9219, Loss: 0.0976
Epoch 15 Batch 179/269 - Train Accuracy: 0.9125, Validation Accuracy: 0.9173, Loss: 0.0963
Epoch 15 Batch 180/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9205, Loss: 0.0952
Epoch 15 Batch 181/269 - Train Accuracy: 0.9194, Validation Accuracy: 0.9264, Loss: 0.1061
Epoch 15 Batch 182/269 - Train Accuracy: 0.9218, Validation Accuracy: 0.9273, Loss: 0.1003
Epoch 15 Batch 183/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9254, Loss: 0.0850
Epoch 15 Batch 184/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9261, Loss: 0.0952
Epoch 15 Batch 185/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9226, Loss: 0.1016
Epoch 15 Batch 186/269 - Train Accuracy: 0.9241, Validation Accuracy: 0.9205, Loss: 0.0942
Epoch 15 Batch 187/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9196, Loss: 0.0998
Epoch 15 Batch 188/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9252, Loss: 0.0903
Epoch 15 Batch 189/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9244, Loss: 0.0924
Epoch 15 Batch 190/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9276, Loss: 0.0906
Epoch 15 Batch 191/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9259, Loss: 0.0954
Epoch 15 Batch 192/269 - Train Accuracy: 0.9175, Validation Accuracy: 0.9229, Loss: 0.1006
Epoch 15 Batch 193/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9254, Loss: 0.0927
Epoch 15 Batch 194/269 - Train Accuracy: 0.9102, Validation Accuracy: 0.9243, Loss: 0.0998
Epoch 15 Batch 195/269 - Train Accuracy: 0.9138, Validation Accuracy: 0.9307, Loss: 0.1032
Epoch 15 Batch 196/269 - Train Accuracy: 0.9122, Validation Accuracy: 0.9282, Loss: 0.0946
Epoch 15 Batch 197/269 - Train Accuracy: 0.9123, Validation Accuracy: 0.9266, Loss: 0.1070
Epoch 15 Batch 198/269 - Train Accuracy: 0.9204, Validation Accuracy: 0.9316, Loss: 0.1052
Epoch 15 Batch 199/269 - Train Accuracy: 0.9320, Validation Accuracy: 0.9350, Loss: 0.1040
Epoch 15 Batch 200/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9236, Loss: 0.1007
Epoch 15 Batch 201/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9194, Loss: 0.1075
Epoch 15 Batch 202/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9284, Loss: 0.1048
Epoch 15 Batch 203/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9253, Loss: 0.1093
Epoch 15 Batch 204/269 - Train Accuracy: 0.9218, Validation Accuracy: 0.9193, Loss: 0.1220
Epoch 15 Batch 205/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9168, Loss: 0.0973
Epoch 15 Batch 206/269 - Train Accuracy: 0.9109, Validation Accuracy: 0.9184, Loss: 0.1179
Epoch 15 Batch 207/269 - Train Accuracy: 0.8943, Validation Accuracy: 0.9014, Loss: 0.1013
Epoch 15 Batch 208/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9192, Loss: 0.1253
Epoch 15 Batch 209/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9166, Loss: 0.0947
Epoch 15 Batch 210/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9305, Loss: 0.1191
Epoch 15 Batch 211/269 - Train Accuracy: 0.8963, Validation Accuracy: 0.9106, Loss: 0.1022
Epoch 15 Batch 212/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9238, Loss: 0.1417
Epoch 15 Batch 213/269 - Train Accuracy: 0.8831, Validation Accuracy: 0.8975, Loss: 0.1031
Epoch 15 Batch 214/269 - Train Accuracy: 0.8999, Validation Accuracy: 0.9242, Loss: 0.1653
Epoch 15 Batch 215/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9047, Loss: 0.1182
Epoch 15 Batch 216/269 - Train Accuracy: 0.8926, Validation Accuracy: 0.8974, Loss: 0.1715
Epoch 15 Batch 217/269 - Train Accuracy: 0.8674, Validation Accuracy: 0.8905, Loss: 0.1492
Epoch 15 Batch 218/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9232, Loss: 0.1660
Epoch 15 Batch 219/269 - Train Accuracy: 0.8947, Validation Accuracy: 0.9024, Loss: 0.1363
Epoch 15 Batch 220/269 - Train Accuracy: 0.9074, Validation Accuracy: 0.9046, Loss: 0.1386
Epoch 15 Batch 221/269 - Train Accuracy: 0.9048, Validation Accuracy: 0.8966, Loss: 0.1510
Epoch 15 Batch 222/269 - Train Accuracy: 0.8857, Validation Accuracy: 0.8791, Loss: 0.1169
Epoch 15 Batch 223/269 - Train Accuracy: 0.9030, Validation Accuracy: 0.9196, Loss: 0.1642
Epoch 15 Batch 224/269 - Train Accuracy: 0.8899, Validation Accuracy: 0.8981, Loss: 0.1281
Epoch 15 Batch 225/269 - Train Accuracy: 0.8870, Validation Accuracy: 0.8820, Loss: 0.1494
Epoch 15 Batch 226/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9221, Loss: 0.1432
Epoch 15 Batch 227/269 - Train Accuracy: 0.9066, Validation Accuracy: 0.8999, Loss: 0.1340
Epoch 15 Batch 228/269 - Train Accuracy: 0.9042, Validation Accuracy: 0.9069, Loss: 0.1421
Epoch 15 Batch 229/269 - Train Accuracy: 0.9141, Validation Accuracy: 0.9240, Loss: 0.1284
Epoch 15 Batch 230/269 - Train Accuracy: 0.9152, Validation Accuracy: 0.9105, Loss: 0.1110
Epoch 15 Batch 231/269 - Train Accuracy: 0.9051, Validation Accuracy: 0.9125, Loss: 0.1349
Epoch 15 Batch 232/269 - Train Accuracy: 0.9049, Validation Accuracy: 0.9183, Loss: 0.1311
Epoch 15 Batch 233/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9173, Loss: 0.1176
Epoch 15 Batch 234/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9237, Loss: 0.1185
Epoch 15 Batch 235/269 - Train Accuracy: 0.9346, Validation Accuracy: 0.9163, Loss: 0.0999
Epoch 15 Batch 236/269 - Train Accuracy: 0.8941, Validation Accuracy: 0.9182, Loss: 0.1146
Epoch 15 Batch 237/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9174, Loss: 0.1098
Epoch 15 Batch 238/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.9171, Loss: 0.1079
Epoch 15 Batch 239/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9215, Loss: 0.1184
Epoch 15 Batch 240/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9189, Loss: 0.1081
Epoch 15 Batch 241/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9157, Loss: 0.1198
Epoch 15 Batch 242/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9164, Loss: 0.1089
Epoch 15 Batch 243/269 - Train Accuracy: 0.9177, Validation Accuracy: 0.9153, Loss: 0.1056
Epoch 15 Batch 244/269 - Train Accuracy: 0.9143, Validation Accuracy: 0.9213, Loss: 0.1086
Epoch 15 Batch 245/269 - Train Accuracy: 0.9145, Validation Accuracy: 0.9252, Loss: 0.1140
Epoch 15 Batch 246/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9232, Loss: 0.1127
Epoch 15 Batch 247/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9240, Loss: 0.1094
Epoch 15 Batch 248/269 - Train Accuracy: 0.9119, Validation Accuracy: 0.9252, Loss: 0.0980
Epoch 15 Batch 249/269 - Train Accuracy: 0.9207, Validation Accuracy: 0.9213, Loss: 0.0979
Epoch 15 Batch 250/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9222, Loss: 0.1017
Epoch 15 Batch 251/269 - Train Accuracy: 0.9467, Validation Accuracy: 0.9226, Loss: 0.0953
Epoch 15 Batch 252/269 - Train Accuracy: 0.9286, Validation Accuracy: 0.9262, Loss: 0.0948
Epoch 15 Batch 253/269 - Train Accuracy: 0.9095, Validation Accuracy: 0.9290, Loss: 0.1060
Epoch 15 Batch 254/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9286, Loss: 0.0982
Epoch 15 Batch 255/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9318, Loss: 0.1057
Epoch 15 Batch 256/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9260, Loss: 0.1036
Epoch 15 Batch 257/269 - Train Accuracy: 0.9035, Validation Accuracy: 0.9271, Loss: 0.1015
Epoch 15 Batch 258/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9291, Loss: 0.1035
Epoch 15 Batch 259/269 - Train Accuracy: 0.9277, Validation Accuracy: 0.9284, Loss: 0.1016
Epoch 15 Batch 260/269 - Train Accuracy: 0.9141, Validation Accuracy: 0.9296, Loss: 0.1055
Epoch 15 Batch 261/269 - Train Accuracy: 0.9092, Validation Accuracy: 0.9307, Loss: 0.0999
Epoch 15 Batch 262/269 - Train Accuracy: 0.9325, Validation Accuracy: 0.9310, Loss: 0.1013
Epoch 15 Batch 263/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9293, Loss: 0.1069
Epoch 15 Batch 264/269 - Train Accuracy: 0.9007, Validation Accuracy: 0.9301, Loss: 0.1083
Epoch 15 Batch 265/269 - Train Accuracy: 0.9180, Validation Accuracy: 0.9232, Loss: 0.0931
Epoch 15 Batch 266/269 - Train Accuracy: 0.9274, Validation Accuracy: 0.9278, Loss: 0.0904
Epoch 15 Batch 267/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9243, Loss: 0.1098
Epoch 16 Batch 1/269 - Train Accuracy: 0.9196, Validation Accuracy: 0.9316, Loss: 0.0981
Epoch 16 Batch 2/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9316, Loss: 0.0998
Epoch 16 Batch 3/269 - Train Accuracy: 0.9267, Validation Accuracy: 0.9285, Loss: 0.1013
Epoch 16 Batch 4/269 - Train Accuracy: 0.9037, Validation Accuracy: 0.9251, Loss: 0.1073
Epoch 16 Batch 5/269 - Train Accuracy: 0.9256, Validation Accuracy: 0.9277, Loss: 0.0975
Epoch 16 Batch 6/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9253, Loss: 0.0966
Epoch 16 Batch 7/269 - Train Accuracy: 0.9321, Validation Accuracy: 0.9293, Loss: 0.0922
Epoch 16 Batch 8/269 - Train Accuracy: 0.9366, Validation Accuracy: 0.9282, Loss: 0.1024
Epoch 16 Batch 9/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9262, Loss: 0.1045
Epoch 16 Batch 10/269 - Train Accuracy: 0.9239, Validation Accuracy: 0.9293, Loss: 0.0934
Epoch 16 Batch 11/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9270, Loss: 0.1053
Epoch 16 Batch 12/269 - Train Accuracy: 0.9178, Validation Accuracy: 0.9259, Loss: 0.1027
Epoch 16 Batch 13/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9301, Loss: 0.0865
Epoch 16 Batch 14/269 - Train Accuracy: 0.9163, Validation Accuracy: 0.9298, Loss: 0.0988
Epoch 16 Batch 15/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9302, Loss: 0.0818
Epoch 16 Batch 16/269 - Train Accuracy: 0.9170, Validation Accuracy: 0.9336, Loss: 0.0971
Epoch 16 Batch 17/269 - Train Accuracy: 0.9204, Validation Accuracy: 0.9324, Loss: 0.0829
Epoch 16 Batch 18/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9316, Loss: 0.0994
Epoch 16 Batch 19/269 - Train Accuracy: 0.9337, Validation Accuracy: 0.9280, Loss: 0.0870
Epoch 16 Batch 20/269 - Train Accuracy: 0.9265, Validation Accuracy: 0.9273, Loss: 0.0940
Epoch 16 Batch 21/269 - Train Accuracy: 0.9005, Validation Accuracy: 0.9282, Loss: 0.1062
Epoch 16 Batch 22/269 - Train Accuracy: 0.9376, Validation Accuracy: 0.9301, Loss: 0.0887
Epoch 16 Batch 23/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9285, Loss: 0.0999
Epoch 16 Batch 24/269 - Train Accuracy: 0.9187, Validation Accuracy: 0.9306, Loss: 0.0916
Epoch 16 Batch 25/269 - Train Accuracy: 0.9050, Validation Accuracy: 0.9289, Loss: 0.1013
Epoch 16 Batch 26/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9299, Loss: 0.0899
Epoch 16 Batch 27/269 - Train Accuracy: 0.9094, Validation Accuracy: 0.9338, Loss: 0.0912
Epoch 16 Batch 28/269 - Train Accuracy: 0.9071, Validation Accuracy: 0.9300, Loss: 0.1023
Epoch 16 Batch 29/269 - Train Accuracy: 0.9335, Validation Accuracy: 0.9308, Loss: 0.1044
Epoch 16 Batch 30/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9320, Loss: 0.0924
Epoch 16 Batch 31/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9334, Loss: 0.0963
Epoch 16 Batch 32/269 - Train Accuracy: 0.9378, Validation Accuracy: 0.9305, Loss: 0.0890
Epoch 16 Batch 33/269 - Train Accuracy: 0.9241, Validation Accuracy: 0.9289, Loss: 0.0889
Epoch 16 Batch 34/269 - Train Accuracy: 0.9252, Validation Accuracy: 0.9303, Loss: 0.0906
Epoch 16 Batch 35/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9243, Loss: 0.1035
Epoch 16 Batch 36/269 - Train Accuracy: 0.9083, Validation Accuracy: 0.9241, Loss: 0.0917
Epoch 16 Batch 37/269 - Train Accuracy: 0.9260, Validation Accuracy: 0.9290, Loss: 0.0943
Epoch 16 Batch 38/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9374, Loss: 0.0928
Epoch 16 Batch 39/269 - Train Accuracy: 0.9305, Validation Accuracy: 0.9377, Loss: 0.0981
Epoch 16 Batch 40/269 - Train Accuracy: 0.9219, Validation Accuracy: 0.9343, Loss: 0.0984
Epoch 16 Batch 41/269 - Train Accuracy: 0.9115, Validation Accuracy: 0.9314, Loss: 0.0962
Epoch 16 Batch 42/269 - Train Accuracy: 0.9284, Validation Accuracy: 0.9292, Loss: 0.0821
Epoch 16 Batch 43/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9318, Loss: 0.0985
Epoch 16 Batch 44/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9312, Loss: 0.0935
Epoch 16 Batch 45/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9338, Loss: 0.0955
Epoch 16 Batch 46/269 - Train Accuracy: 0.9229, Validation Accuracy: 0.9362, Loss: 0.0906
Epoch 16 Batch 47/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9362, Loss: 0.0859
Epoch 16 Batch 48/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9372, Loss: 0.0837
Epoch 16 Batch 49/269 - Train Accuracy: 0.9284, Validation Accuracy: 0.9349, Loss: 0.0906
Epoch 16 Batch 50/269 - Train Accuracy: 0.9118, Validation Accuracy: 0.9406, Loss: 0.1054
Epoch 16 Batch 51/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9393, Loss: 0.0955
Epoch 16 Batch 52/269 - Train Accuracy: 0.9173, Validation Accuracy: 0.9363, Loss: 0.0810
Epoch 16 Batch 53/269 - Train Accuracy: 0.9220, Validation Accuracy: 0.9379, Loss: 0.1039
Epoch 16 Batch 54/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9351, Loss: 0.0911
Epoch 16 Batch 55/269 - Train Accuracy: 0.9376, Validation Accuracy: 0.9320, Loss: 0.0869
Epoch 16 Batch 56/269 - Train Accuracy: 0.9196, Validation Accuracy: 0.9308, Loss: 0.0957
Epoch 16 Batch 57/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9290, Loss: 0.1079
Epoch 16 Batch 58/269 - Train Accuracy: 0.9303, Validation Accuracy: 0.9315, Loss: 0.0906
Epoch 16 Batch 59/269 - Train Accuracy: 0.9509, Validation Accuracy: 0.9354, Loss: 0.0746
Epoch 16 Batch 60/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9380, Loss: 0.0884
Epoch 16 Batch 61/269 - Train Accuracy: 0.9317, Validation Accuracy: 0.9375, Loss: 0.0882
Epoch 16 Batch 62/269 - Train Accuracy: 0.9217, Validation Accuracy: 0.9335, Loss: 0.0911
Epoch 16 Batch 63/269 - Train Accuracy: 0.9234, Validation Accuracy: 0.9350, Loss: 0.1068
Epoch 16 Batch 64/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9344, Loss: 0.0831
Epoch 16 Batch 65/269 - Train Accuracy: 0.9226, Validation Accuracy: 0.9346, Loss: 0.0895
Epoch 16 Batch 66/269 - Train Accuracy: 0.9128, Validation Accuracy: 0.9361, Loss: 0.0915
Epoch 16 Batch 67/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9330, Loss: 0.0950
Epoch 16 Batch 68/269 - Train Accuracy: 0.9207, Validation Accuracy: 0.9283, Loss: 0.0989
Epoch 16 Batch 69/269 - Train Accuracy: 0.9107, Validation Accuracy: 0.9323, Loss: 0.1104
Epoch 16 Batch 70/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9352, Loss: 0.0955
Epoch 16 Batch 71/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9381, Loss: 0.1030
Epoch 16 Batch 72/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9318, Loss: 0.1009
Epoch 16 Batch 73/269 - Train Accuracy: 0.9180, Validation Accuracy: 0.9323, Loss: 0.0996
Epoch 16 Batch 74/269 - Train Accuracy: 0.9398, Validation Accuracy: 0.9278, Loss: 0.0971
Epoch 16 Batch 75/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9259, Loss: 0.0980
Epoch 16 Batch 76/269 - Train Accuracy: 0.9178, Validation Accuracy: 0.9273, Loss: 0.0911
Epoch 16 Batch 77/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9250, Loss: 0.0887
Epoch 16 Batch 78/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9288, Loss: 0.0884
Epoch 16 Batch 79/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9300, Loss: 0.0859
Epoch 16 Batch 80/269 - Train Accuracy: 0.9267, Validation Accuracy: 0.9244, Loss: 0.0930
Epoch 16 Batch 81/269 - Train Accuracy: 0.9134, Validation Accuracy: 0.9261, Loss: 0.1030
Epoch 16 Batch 82/269 - Train Accuracy: 0.9392, Validation Accuracy: 0.9276, Loss: 0.0827
Epoch 16 Batch 83/269 - Train Accuracy: 0.9070, Validation Accuracy: 0.9290, Loss: 0.1031
Epoch 16 Batch 84/269 - Train Accuracy: 0.9354, Validation Accuracy: 0.9314, Loss: 0.0875
Epoch 16 Batch 85/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9290, Loss: 0.0900
Epoch 16 Batch 86/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9288, Loss: 0.0845
Epoch 16 Batch 87/269 - Train Accuracy: 0.9118, Validation Accuracy: 0.9272, Loss: 0.0949
Epoch 16 Batch 88/269 - Train Accuracy: 0.9043, Validation Accuracy: 0.9218, Loss: 0.0906
Epoch 16 Batch 89/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9229, Loss: 0.0962
Epoch 16 Batch 90/269 - Train Accuracy: 0.9259, Validation Accuracy: 0.9302, Loss: 0.1013
Epoch 16 Batch 91/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9287, Loss: 0.0894
Epoch 16 Batch 92/269 - Train Accuracy: 0.9382, Validation Accuracy: 0.9247, Loss: 0.0860
Epoch 16 Batch 93/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9269, Loss: 0.0895
Epoch 16 Batch 94/269 - Train Accuracy: 0.9165, Validation Accuracy: 0.9225, Loss: 0.1054
Epoch 16 Batch 95/269 - Train Accuracy: 0.9290, Validation Accuracy: 0.9239, Loss: 0.0880
Epoch 16 Batch 96/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9263, Loss: 0.0960
Epoch 16 Batch 97/269 - Train Accuracy: 0.9242, Validation Accuracy: 0.9275, Loss: 0.0955
Epoch 16 Batch 98/269 - Train Accuracy: 0.9307, Validation Accuracy: 0.9256, Loss: 0.0950
Epoch 16 Batch 99/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9292, Loss: 0.0909
Epoch 16 Batch 100/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9358, Loss: 0.0889
Epoch 16 Batch 101/269 - Train Accuracy: 0.9139, Validation Accuracy: 0.9311, Loss: 0.1036
Epoch 16 Batch 102/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9322, Loss: 0.0849
Epoch 16 Batch 103/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9310, Loss: 0.0978
Epoch 16 Batch 104/269 - Train Accuracy: 0.9189, Validation Accuracy: 0.9268, Loss: 0.0929
Epoch 16 Batch 105/269 - Train Accuracy: 0.9210, Validation Accuracy: 0.9326, Loss: 0.0901
Epoch 16 Batch 106/269 - Train Accuracy: 0.9374, Validation Accuracy: 0.9313, Loss: 0.0855
Epoch 16 Batch 107/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9325, Loss: 0.0915
Epoch 16 Batch 108/269 - Train Accuracy: 0.9388, Validation Accuracy: 0.9324, Loss: 0.0888
Epoch 16 Batch 109/269 - Train Accuracy: 0.9065, Validation Accuracy: 0.9243, Loss: 0.0993
Epoch 16 Batch 110/269 - Train Accuracy: 0.9189, Validation Accuracy: 0.9260, Loss: 0.0878
Epoch 16 Batch 111/269 - Train Accuracy: 0.9229, Validation Accuracy: 0.9322, Loss: 0.1009
Epoch 16 Batch 112/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9363, Loss: 0.0916
Epoch 16 Batch 113/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9372, Loss: 0.0914
Epoch 16 Batch 114/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9361, Loss: 0.0893
Epoch 16 Batch 115/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9318, Loss: 0.0926
Epoch 16 Batch 116/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9204, Loss: 0.0906
Epoch 16 Batch 117/269 - Train Accuracy: 0.9272, Validation Accuracy: 0.9190, Loss: 0.0928
Epoch 16 Batch 118/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9236, Loss: 0.0845
Epoch 16 Batch 119/269 - Train Accuracy: 0.9117, Validation Accuracy: 0.9261, Loss: 0.0981
Epoch 16 Batch 120/269 - Train Accuracy: 0.9256, Validation Accuracy: 0.9304, Loss: 0.0983
Epoch 16 Batch 121/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9337, Loss: 0.0876
Epoch 16 Batch 122/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9353, Loss: 0.0910
Epoch 16 Batch 123/269 - Train Accuracy: 0.9240, Validation Accuracy: 0.9290, Loss: 0.0861
Epoch 16 Batch 124/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9278, Loss: 0.0840
Epoch 16 Batch 125/269 - Train Accuracy: 0.9402, Validation Accuracy: 0.9305, Loss: 0.0848
Epoch 16 Batch 126/269 - Train Accuracy: 0.9165, Validation Accuracy: 0.9283, Loss: 0.0853
Epoch 16 Batch 127/269 - Train Accuracy: 0.9175, Validation Accuracy: 0.9312, Loss: 0.0927
Epoch 16 Batch 128/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9345, Loss: 0.0944
Epoch 16 Batch 129/269 - Train Accuracy: 0.9106, Validation Accuracy: 0.9296, Loss: 0.0891
Epoch 16 Batch 130/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9292, Loss: 0.0994
Epoch 16 Batch 131/269 - Train Accuracy: 0.9101, Validation Accuracy: 0.9329, Loss: 0.0918
Epoch 16 Batch 132/269 - Train Accuracy: 0.9129, Validation Accuracy: 0.9314, Loss: 0.0911
Epoch 16 Batch 133/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9334, Loss: 0.0873
Epoch 16 Batch 134/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9349, Loss: 0.0914
Epoch 16 Batch 135/269 - Train Accuracy: 0.9354, Validation Accuracy: 0.9336, Loss: 0.0927
Epoch 16 Batch 136/269 - Train Accuracy: 0.9041, Validation Accuracy: 0.9302, Loss: 0.0968
Epoch 16 Batch 137/269 - Train Accuracy: 0.9085, Validation Accuracy: 0.9295, Loss: 0.1030
Epoch 16 Batch 138/269 - Train Accuracy: 0.9242, Validation Accuracy: 0.9240, Loss: 0.0909
Epoch 16 Batch 139/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9269, Loss: 0.0895
Epoch 16 Batch 140/269 - Train Accuracy: 0.9219, Validation Accuracy: 0.9268, Loss: 0.0973
Epoch 16 Batch 141/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9307, Loss: 0.0929
Epoch 16 Batch 142/269 - Train Accuracy: 0.9263, Validation Accuracy: 0.9324, Loss: 0.0866
Epoch 16 Batch 143/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9286, Loss: 0.0808
Epoch 16 Batch 144/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9285, Loss: 0.0795
Epoch 16 Batch 145/269 - Train Accuracy: 0.9271, Validation Accuracy: 0.9271, Loss: 0.0896
Epoch 16 Batch 146/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9276, Loss: 0.0903
Epoch 16 Batch 147/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9280, Loss: 0.0950
Epoch 16 Batch 148/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9258, Loss: 0.0961
Epoch 16 Batch 149/269 - Train Accuracy: 0.9132, Validation Accuracy: 0.9211, Loss: 0.1016
Epoch 16 Batch 150/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9185, Loss: 0.0941
Epoch 16 Batch 151/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9194, Loss: 0.0969
Epoch 16 Batch 152/269 - Train Accuracy: 0.9321, Validation Accuracy: 0.9234, Loss: 0.0884
Epoch 16 Batch 153/269 - Train Accuracy: 0.9297, Validation Accuracy: 0.9308, Loss: 0.0893
Epoch 16 Batch 154/269 - Train Accuracy: 0.9347, Validation Accuracy: 0.9283, Loss: 0.0850
Epoch 16 Batch 155/269 - Train Accuracy: 0.9127, Validation Accuracy: 0.9244, Loss: 0.0859
Epoch 16 Batch 156/269 - Train Accuracy: 0.9219, Validation Accuracy: 0.9323, Loss: 0.0938
Epoch 16 Batch 157/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9315, Loss: 0.0852
Epoch 16 Batch 158/269 - Train Accuracy: 0.9201, Validation Accuracy: 0.9322, Loss: 0.0921
Epoch 16 Batch 159/269 - Train Accuracy: 0.9190, Validation Accuracy: 0.9296, Loss: 0.0944
Epoch 16 Batch 160/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9308, Loss: 0.0918
Epoch 16 Batch 161/269 - Train Accuracy: 0.9321, Validation Accuracy: 0.9330, Loss: 0.0860
Epoch 16 Batch 162/269 - Train Accuracy: 0.9339, Validation Accuracy: 0.9302, Loss: 0.0831
Epoch 16 Batch 163/269 - Train Accuracy: 0.9485, Validation Accuracy: 0.9279, Loss: 0.0910
Epoch 16 Batch 164/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9277, Loss: 0.0909
Epoch 16 Batch 165/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9280, Loss: 0.0896
Epoch 16 Batch 166/269 - Train Accuracy: 0.9267, Validation Accuracy: 0.9312, Loss: 0.0876
Epoch 16 Batch 167/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9335, Loss: 0.0859
Epoch 16 Batch 168/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9339, Loss: 0.0918
Epoch 16 Batch 169/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9387, Loss: 0.0891
Epoch 16 Batch 170/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9371, Loss: 0.0824
Epoch 16 Batch 171/269 - Train Accuracy: 0.9414, Validation Accuracy: 0.9331, Loss: 0.0890
Epoch 16 Batch 172/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9288, Loss: 0.0984
Epoch 16 Batch 173/269 - Train Accuracy: 0.9267, Validation Accuracy: 0.9284, Loss: 0.0835
Epoch 16 Batch 174/269 - Train Accuracy: 0.9351, Validation Accuracy: 0.9237, Loss: 0.0915
Epoch 16 Batch 175/269 - Train Accuracy: 0.9132, Validation Accuracy: 0.9240, Loss: 0.1034
Epoch 16 Batch 176/269 - Train Accuracy: 0.9072, Validation Accuracy: 0.9233, Loss: 0.1003
Epoch 16 Batch 177/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9287, Loss: 0.0865
Epoch 16 Batch 178/269 - Train Accuracy: 0.9336, Validation Accuracy: 0.9314, Loss: 0.0867
Epoch 16 Batch 179/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9323, Loss: 0.0875
Epoch 16 Batch 180/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9308, Loss: 0.0834
Epoch 16 Batch 181/269 - Train Accuracy: 0.9216, Validation Accuracy: 0.9276, Loss: 0.0908
Epoch 16 Batch 182/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9342, Loss: 0.0891
Epoch 16 Batch 183/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9382, Loss: 0.0748
Epoch 16 Batch 184/269 - Train Accuracy: 0.9234, Validation Accuracy: 0.9418, Loss: 0.0868
Epoch 16 Batch 185/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9405, Loss: 0.0848
Epoch 16 Batch 186/269 - Train Accuracy: 0.9308, Validation Accuracy: 0.9362, Loss: 0.0827
Epoch 16 Batch 187/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9325, Loss: 0.0863
Epoch 16 Batch 188/269 - Train Accuracy: 0.9207, Validation Accuracy: 0.9334, Loss: 0.0841
Epoch 16 Batch 189/269 - Train Accuracy: 0.9254, Validation Accuracy: 0.9321, Loss: 0.0856
Epoch 16 Batch 190/269 - Train Accuracy: 0.9263, Validation Accuracy: 0.9330, Loss: 0.0865
Epoch 16 Batch 191/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9341, Loss: 0.0902
Epoch 16 Batch 192/269 - Train Accuracy: 0.9293, Validation Accuracy: 0.9355, Loss: 0.0923
Epoch 16 Batch 193/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9356, Loss: 0.0867
Epoch 16 Batch 194/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9363, Loss: 0.0907
Epoch 16 Batch 195/269 - Train Accuracy: 0.9229, Validation Accuracy: 0.9331, Loss: 0.0852
Epoch 16 Batch 196/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9307, Loss: 0.0802
Epoch 16 Batch 197/269 - Train Accuracy: 0.9142, Validation Accuracy: 0.9289, Loss: 0.0882
Epoch 16 Batch 198/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9288, Loss: 0.0940
Epoch 16 Batch 199/269 - Train Accuracy: 0.9345, Validation Accuracy: 0.9232, Loss: 0.0908
Epoch 16 Batch 200/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9272, Loss: 0.0897
Epoch 16 Batch 201/269 - Train Accuracy: 0.9270, Validation Accuracy: 0.9277, Loss: 0.0950
Epoch 16 Batch 202/269 - Train Accuracy: 0.9286, Validation Accuracy: 0.9287, Loss: 0.0880
Epoch 16 Batch 203/269 - Train Accuracy: 0.9229, Validation Accuracy: 0.9317, Loss: 0.0963
Epoch 16 Batch 204/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9378, Loss: 0.0951
Epoch 16 Batch 205/269 - Train Accuracy: 0.9349, Validation Accuracy: 0.9397, Loss: 0.0853
Epoch 16 Batch 206/269 - Train Accuracy: 0.9219, Validation Accuracy: 0.9412, Loss: 0.0957
Epoch 16 Batch 207/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9419, Loss: 0.0851
Epoch 16 Batch 208/269 - Train Accuracy: 0.9197, Validation Accuracy: 0.9404, Loss: 0.0930
Epoch 16 Batch 209/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9387, Loss: 0.0825
Epoch 16 Batch 210/269 - Train Accuracy: 0.9327, Validation Accuracy: 0.9313, Loss: 0.0814
Epoch 16 Batch 211/269 - Train Accuracy: 0.9277, Validation Accuracy: 0.9346, Loss: 0.0945
Epoch 16 Batch 212/269 - Train Accuracy: 0.9190, Validation Accuracy: 0.9368, Loss: 0.0961
Epoch 16 Batch 213/269 - Train Accuracy: 0.9191, Validation Accuracy: 0.9362, Loss: 0.0835
Epoch 16 Batch 214/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9291, Loss: 0.0890
Epoch 16 Batch 215/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9328, Loss: 0.0854
Epoch 16 Batch 216/269 - Train Accuracy: 0.9203, Validation Accuracy: 0.9375, Loss: 0.1029
Epoch 16 Batch 217/269 - Train Accuracy: 0.9184, Validation Accuracy: 0.9366, Loss: 0.0903
Epoch 16 Batch 218/269 - Train Accuracy: 0.9330, Validation Accuracy: 0.9347, Loss: 0.0847
Epoch 16 Batch 219/269 - Train Accuracy: 0.9284, Validation Accuracy: 0.9392, Loss: 0.0931
Epoch 16 Batch 220/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9400, Loss: 0.0838
Epoch 16 Batch 221/269 - Train Accuracy: 0.9338, Validation Accuracy: 0.9411, Loss: 0.0881
Epoch 16 Batch 222/269 - Train Accuracy: 0.9391, Validation Accuracy: 0.9387, Loss: 0.0778
Epoch 16 Batch 223/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9363, Loss: 0.0913
Epoch 16 Batch 224/269 - Train Accuracy: 0.9209, Validation Accuracy: 0.9340, Loss: 0.1006
Epoch 16 Batch 225/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9291, Loss: 0.0848
Epoch 16 Batch 226/269 - Train Accuracy: 0.9191, Validation Accuracy: 0.9281, Loss: 0.0905
Epoch 16 Batch 227/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9311, Loss: 0.0971
Epoch 16 Batch 228/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9417, Loss: 0.0896
Epoch 16 Batch 229/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9405, Loss: 0.0855
Epoch 16 Batch 230/269 - Train Accuracy: 0.9352, Validation Accuracy: 0.9363, Loss: 0.0880
Epoch 16 Batch 231/269 - Train Accuracy: 0.9297, Validation Accuracy: 0.9285, Loss: 0.0918
Epoch 16 Batch 232/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9280, Loss: 0.0857
Epoch 16 Batch 233/269 - Train Accuracy: 0.9323, Validation Accuracy: 0.9299, Loss: 0.0934
Epoch 16 Batch 234/269 - Train Accuracy: 0.9290, Validation Accuracy: 0.9376, Loss: 0.0870
Epoch 16 Batch 235/269 - Train Accuracy: 0.9475, Validation Accuracy: 0.9356, Loss: 0.0803
Epoch 16 Batch 236/269 - Train Accuracy: 0.9174, Validation Accuracy: 0.9332, Loss: 0.0864
Epoch 16 Batch 237/269 - Train Accuracy: 0.9330, Validation Accuracy: 0.9361, Loss: 0.0821
Epoch 16 Batch 238/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9263, Loss: 0.0869
Epoch 16 Batch 239/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9247, Loss: 0.0889
Epoch 16 Batch 240/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9249, Loss: 0.0823
Epoch 16 Batch 241/269 - Train Accuracy: 0.9307, Validation Accuracy: 0.9242, Loss: 0.0968
Epoch 16 Batch 242/269 - Train Accuracy: 0.9411, Validation Accuracy: 0.9215, Loss: 0.0826
Epoch 16 Batch 243/269 - Train Accuracy: 0.9391, Validation Accuracy: 0.9268, Loss: 0.0790
Epoch 16 Batch 244/269 - Train Accuracy: 0.9217, Validation Accuracy: 0.9320, Loss: 0.0920
Epoch 16 Batch 245/269 - Train Accuracy: 0.9100, Validation Accuracy: 0.9322, Loss: 0.0859
Epoch 16 Batch 246/269 - Train Accuracy: 0.9239, Validation Accuracy: 0.9277, Loss: 0.0956
Epoch 16 Batch 247/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9263, Loss: 0.0890
Epoch 16 Batch 248/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9277, Loss: 0.0825
Epoch 16 Batch 249/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9400, Loss: 0.0803
Epoch 16 Batch 250/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9352, Loss: 0.0837
Epoch 16 Batch 251/269 - Train Accuracy: 0.9468, Validation Accuracy: 0.9368, Loss: 0.0841
Epoch 16 Batch 252/269 - Train Accuracy: 0.9340, Validation Accuracy: 0.9408, Loss: 0.0810
Epoch 16 Batch 253/269 - Train Accuracy: 0.9098, Validation Accuracy: 0.9333, Loss: 0.0951
Epoch 16 Batch 254/269 - Train Accuracy: 0.9244, Validation Accuracy: 0.9365, Loss: 0.0832
Epoch 16 Batch 255/269 - Train Accuracy: 0.9295, Validation Accuracy: 0.9332, Loss: 0.0887
Epoch 16 Batch 256/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9315, Loss: 0.0824
Epoch 16 Batch 257/269 - Train Accuracy: 0.9093, Validation Accuracy: 0.9297, Loss: 0.0906
Epoch 16 Batch 258/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9284, Loss: 0.0958
Epoch 16 Batch 259/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9277, Loss: 0.0865
Epoch 16 Batch 260/269 - Train Accuracy: 0.9206, Validation Accuracy: 0.9322, Loss: 0.0943
Epoch 16 Batch 261/269 - Train Accuracy: 0.9263, Validation Accuracy: 0.9341, Loss: 0.0910
Epoch 16 Batch 262/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9329, Loss: 0.0914
Epoch 16 Batch 263/269 - Train Accuracy: 0.9232, Validation Accuracy: 0.9378, Loss: 0.0891
Epoch 16 Batch 264/269 - Train Accuracy: 0.9081, Validation Accuracy: 0.9411, Loss: 0.0928
Epoch 16 Batch 265/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9398, Loss: 0.0865
Epoch 16 Batch 266/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9379, Loss: 0.0814
Epoch 16 Batch 267/269 - Train Accuracy: 0.9376, Validation Accuracy: 0.9331, Loss: 0.0932
Epoch 17 Batch 1/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9345, Loss: 0.0858
Epoch 17 Batch 2/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9324, Loss: 0.0891
Epoch 17 Batch 3/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9302, Loss: 0.0890
Epoch 17 Batch 4/269 - Train Accuracy: 0.9075, Validation Accuracy: 0.9299, Loss: 0.0917
Epoch 17 Batch 5/269 - Train Accuracy: 0.9317, Validation Accuracy: 0.9319, Loss: 0.0855
Epoch 17 Batch 6/269 - Train Accuracy: 0.9351, Validation Accuracy: 0.9294, Loss: 0.0825
Epoch 17 Batch 7/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9264, Loss: 0.0841
Epoch 17 Batch 8/269 - Train Accuracy: 0.9453, Validation Accuracy: 0.9265, Loss: 0.0863
Epoch 17 Batch 9/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9320, Loss: 0.0968
Epoch 17 Batch 10/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9333, Loss: 0.0846
Epoch 17 Batch 11/269 - Train Accuracy: 0.9299, Validation Accuracy: 0.9379, Loss: 0.0921
Epoch 17 Batch 12/269 - Train Accuracy: 0.9250, Validation Accuracy: 0.9375, Loss: 0.0969
Epoch 17 Batch 13/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9379, Loss: 0.0769
Epoch 17 Batch 14/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9342, Loss: 0.0790
Epoch 17 Batch 15/269 - Train Accuracy: 0.9421, Validation Accuracy: 0.9326, Loss: 0.0700
Epoch 17 Batch 16/269 - Train Accuracy: 0.9259, Validation Accuracy: 0.9305, Loss: 0.0956
Epoch 17 Batch 17/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9306, Loss: 0.0778
Epoch 17 Batch 18/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9287, Loss: 0.0857
Epoch 17 Batch 19/269 - Train Accuracy: 0.9376, Validation Accuracy: 0.9362, Loss: 0.0765
Epoch 17 Batch 20/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9322, Loss: 0.0866
Epoch 17 Batch 21/269 - Train Accuracy: 0.9076, Validation Accuracy: 0.9348, Loss: 0.0947
Epoch 17 Batch 22/269 - Train Accuracy: 0.9469, Validation Accuracy: 0.9332, Loss: 0.0781
Epoch 17 Batch 23/269 - Train Accuracy: 0.9144, Validation Accuracy: 0.9372, Loss: 0.0893
Epoch 17 Batch 24/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9355, Loss: 0.0831
Epoch 17 Batch 25/269 - Train Accuracy: 0.9198, Validation Accuracy: 0.9327, Loss: 0.0923
Epoch 17 Batch 26/269 - Train Accuracy: 0.9244, Validation Accuracy: 0.9358, Loss: 0.0846
Epoch 17 Batch 27/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9371, Loss: 0.0840
Epoch 17 Batch 28/269 - Train Accuracy: 0.9194, Validation Accuracy: 0.9395, Loss: 0.0967
Epoch 17 Batch 29/269 - Train Accuracy: 0.9382, Validation Accuracy: 0.9398, Loss: 0.0895
Epoch 17 Batch 30/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9399, Loss: 0.0815
Epoch 17 Batch 31/269 - Train Accuracy: 0.9348, Validation Accuracy: 0.9362, Loss: 0.0849
Epoch 17 Batch 32/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9351, Loss: 0.0807
Epoch 17 Batch 33/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9301, Loss: 0.0774
Epoch 17 Batch 34/269 - Train Accuracy: 0.9309, Validation Accuracy: 0.9291, Loss: 0.0817
Epoch 17 Batch 35/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9393, Loss: 0.0977
Epoch 17 Batch 36/269 - Train Accuracy: 0.9172, Validation Accuracy: 0.9395, Loss: 0.0862
Epoch 17 Batch 37/269 - Train Accuracy: 0.9411, Validation Accuracy: 0.9367, Loss: 0.0914
Epoch 17 Batch 38/269 - Train Accuracy: 0.9309, Validation Accuracy: 0.9356, Loss: 0.0863
Epoch 17 Batch 39/269 - Train Accuracy: 0.9384, Validation Accuracy: 0.9307, Loss: 0.0842
Epoch 17 Batch 40/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9285, Loss: 0.0893
Epoch 17 Batch 41/269 - Train Accuracy: 0.9143, Validation Accuracy: 0.9311, Loss: 0.0894
Epoch 17 Batch 42/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9299, Loss: 0.0766
Epoch 17 Batch 43/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9400, Loss: 0.0889
Epoch 17 Batch 44/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9426, Loss: 0.0850
Epoch 17 Batch 45/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9397, Loss: 0.0895
Epoch 17 Batch 46/269 - Train Accuracy: 0.9241, Validation Accuracy: 0.9430, Loss: 0.0828
Epoch 17 Batch 47/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9330, Loss: 0.0810
Epoch 17 Batch 48/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9272, Loss: 0.0836
Epoch 17 Batch 49/269 - Train Accuracy: 0.9413, Validation Accuracy: 0.9330, Loss: 0.0772
Epoch 17 Batch 50/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.9373, Loss: 0.0910
Epoch 17 Batch 51/269 - Train Accuracy: 0.9380, Validation Accuracy: 0.9390, Loss: 0.0830
Epoch 17 Batch 52/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9386, Loss: 0.0742
Epoch 17 Batch 53/269 - Train Accuracy: 0.9252, Validation Accuracy: 0.9338, Loss: 0.0943
Epoch 17 Batch 54/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9325, Loss: 0.0844
Epoch 17 Batch 55/269 - Train Accuracy: 0.9368, Validation Accuracy: 0.9302, Loss: 0.0868
Epoch 17 Batch 56/269 - Train Accuracy: 0.9311, Validation Accuracy: 0.9355, Loss: 0.0863
Epoch 17 Batch 57/269 - Train Accuracy: 0.9208, Validation Accuracy: 0.9371, Loss: 0.0952
Epoch 17 Batch 58/269 - Train Accuracy: 0.9381, Validation Accuracy: 0.9381, Loss: 0.0829
Epoch 17 Batch 59/269 - Train Accuracy: 0.9611, Validation Accuracy: 0.9416, Loss: 0.0672
Epoch 17 Batch 60/269 - Train Accuracy: 0.9282, Validation Accuracy: 0.9444, Loss: 0.0787
Epoch 17 Batch 61/269 - Train Accuracy: 0.9370, Validation Accuracy: 0.9414, Loss: 0.0796
Epoch 17 Batch 62/269 - Train Accuracy: 0.9247, Validation Accuracy: 0.9373, Loss: 0.0829
Epoch 17 Batch 63/269 - Train Accuracy: 0.9203, Validation Accuracy: 0.9414, Loss: 0.0940
Epoch 17 Batch 64/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9415, Loss: 0.0781
Epoch 17 Batch 65/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9401, Loss: 0.0832
Epoch 17 Batch 66/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9419, Loss: 0.0880
Epoch 17 Batch 67/269 - Train Accuracy: 0.9214, Validation Accuracy: 0.9395, Loss: 0.0931
Epoch 17 Batch 68/269 - Train Accuracy: 0.9161, Validation Accuracy: 0.9357, Loss: 0.0920
Epoch 17 Batch 69/269 - Train Accuracy: 0.9199, Validation Accuracy: 0.9386, Loss: 0.1054
Epoch 17 Batch 70/269 - Train Accuracy: 0.9378, Validation Accuracy: 0.9391, Loss: 0.0877
Epoch 17 Batch 71/269 - Train Accuracy: 0.9327, Validation Accuracy: 0.9344, Loss: 0.0936
Epoch 17 Batch 72/269 - Train Accuracy: 0.9287, Validation Accuracy: 0.9354, Loss: 0.0941
Epoch 17 Batch 73/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9362, Loss: 0.0996
Epoch 17 Batch 74/269 - Train Accuracy: 0.9398, Validation Accuracy: 0.9348, Loss: 0.0772
Epoch 17 Batch 75/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9338, Loss: 0.0919
Epoch 17 Batch 76/269 - Train Accuracy: 0.9252, Validation Accuracy: 0.9361, Loss: 0.0878
Epoch 17 Batch 77/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9388, Loss: 0.0880
Epoch 17 Batch 78/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9364, Loss: 0.0903
Epoch 17 Batch 79/269 - Train Accuracy: 0.9186, Validation Accuracy: 0.9342, Loss: 0.0871
Epoch 17 Batch 80/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9350, Loss: 0.0848
Epoch 17 Batch 81/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9309, Loss: 0.0959
Epoch 17 Batch 82/269 - Train Accuracy: 0.9435, Validation Accuracy: 0.9256, Loss: 0.0737
Epoch 17 Batch 83/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9304, Loss: 0.1041
Epoch 17 Batch 84/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9352, Loss: 0.0840
Epoch 17 Batch 85/269 - Train Accuracy: 0.9281, Validation Accuracy: 0.9347, Loss: 0.0852
Epoch 17 Batch 86/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9340, Loss: 0.0847
Epoch 17 Batch 87/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9285, Loss: 0.0852
Epoch 17 Batch 88/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9324, Loss: 0.0927
Epoch 17 Batch 89/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9305, Loss: 0.0867
Epoch 17 Batch 90/269 - Train Accuracy: 0.9342, Validation Accuracy: 0.9370, Loss: 0.0865
Epoch 17 Batch 91/269 - Train Accuracy: 0.9432, Validation Accuracy: 0.9351, Loss: 0.0812
Epoch 17 Batch 92/269 - Train Accuracy: 0.9448, Validation Accuracy: 0.9353, Loss: 0.0747
Epoch 17 Batch 93/269 - Train Accuracy: 0.9394, Validation Accuracy: 0.9290, Loss: 0.0783
Epoch 17 Batch 94/269 - Train Accuracy: 0.9256, Validation Accuracy: 0.9330, Loss: 0.0974
Epoch 17 Batch 95/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9338, Loss: 0.0863
Epoch 17 Batch 96/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9355, Loss: 0.0835
Epoch 17 Batch 97/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9395, Loss: 0.0866
Epoch 17 Batch 98/269 - Train Accuracy: 0.9334, Validation Accuracy: 0.9421, Loss: 0.0838
Epoch 17 Batch 99/269 - Train Accuracy: 0.9305, Validation Accuracy: 0.9453, Loss: 0.0818
Epoch 17 Batch 100/269 - Train Accuracy: 0.9401, Validation Accuracy: 0.9416, Loss: 0.0902
Epoch 17 Batch 101/269 - Train Accuracy: 0.9210, Validation Accuracy: 0.9385, Loss: 0.0969
Epoch 17 Batch 102/269 - Train Accuracy: 0.9335, Validation Accuracy: 0.9370, Loss: 0.0812
Epoch 17 Batch 103/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9297, Loss: 0.0936
Epoch 17 Batch 104/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9371, Loss: 0.0823
Epoch 17 Batch 105/269 - Train Accuracy: 0.9233, Validation Accuracy: 0.9367, Loss: 0.0891
Epoch 17 Batch 106/269 - Train Accuracy: 0.9351, Validation Accuracy: 0.9402, Loss: 0.0780
Epoch 17 Batch 107/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9402, Loss: 0.0807
Epoch 17 Batch 108/269 - Train Accuracy: 0.9419, Validation Accuracy: 0.9388, Loss: 0.0809
Epoch 17 Batch 109/269 - Train Accuracy: 0.9152, Validation Accuracy: 0.9357, Loss: 0.0902
Epoch 17 Batch 110/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9389, Loss: 0.0793
Epoch 17 Batch 111/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9403, Loss: 0.0909
Epoch 17 Batch 112/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9392, Loss: 0.0842
Epoch 17 Batch 113/269 - Train Accuracy: 0.9250, Validation Accuracy: 0.9370, Loss: 0.0806
Epoch 17 Batch 114/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9327, Loss: 0.0833
Epoch 17 Batch 115/269 - Train Accuracy: 0.9283, Validation Accuracy: 0.9292, Loss: 0.0882
Epoch 17 Batch 116/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9265, Loss: 0.0863
Epoch 17 Batch 117/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9330, Loss: 0.0846
Epoch 17 Batch 118/269 - Train Accuracy: 0.9383, Validation Accuracy: 0.9415, Loss: 0.0770
Epoch 17 Batch 119/269 - Train Accuracy: 0.9136, Validation Accuracy: 0.9349, Loss: 0.0925
Epoch 17 Batch 120/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9373, Loss: 0.0877
Epoch 17 Batch 121/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9363, Loss: 0.0772
Epoch 17 Batch 122/269 - Train Accuracy: 0.9383, Validation Accuracy: 0.9376, Loss: 0.0777
Epoch 17 Batch 123/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9320, Loss: 0.0831
Epoch 17 Batch 124/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9328, Loss: 0.0751
Epoch 17 Batch 125/269 - Train Accuracy: 0.9451, Validation Accuracy: 0.9331, Loss: 0.0763
Epoch 17 Batch 126/269 - Train Accuracy: 0.9203, Validation Accuracy: 0.9332, Loss: 0.0836
Epoch 17 Batch 127/269 - Train Accuracy: 0.9281, Validation Accuracy: 0.9319, Loss: 0.0867
Epoch 17 Batch 128/269 - Train Accuracy: 0.9238, Validation Accuracy: 0.9332, Loss: 0.0852
Epoch 17 Batch 129/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9332, Loss: 0.0818
Epoch 17 Batch 130/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9316, Loss: 0.0916
Epoch 17 Batch 131/269 - Train Accuracy: 0.9185, Validation Accuracy: 0.9277, Loss: 0.0855
Epoch 17 Batch 132/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9273, Loss: 0.0904
Epoch 17 Batch 133/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9363, Loss: 0.0743
Epoch 17 Batch 134/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9410, Loss: 0.0825
Epoch 17 Batch 135/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9400, Loss: 0.0824
Epoch 17 Batch 136/269 - Train Accuracy: 0.9123, Validation Accuracy: 0.9393, Loss: 0.0944
Epoch 17 Batch 137/269 - Train Accuracy: 0.9099, Validation Accuracy: 0.9393, Loss: 0.0968
Epoch 17 Batch 138/269 - Train Accuracy: 0.9287, Validation Accuracy: 0.9371, Loss: 0.0814
Epoch 17 Batch 139/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9321, Loss: 0.0755
Epoch 17 Batch 140/269 - Train Accuracy: 0.9239, Validation Accuracy: 0.9297, Loss: 0.0893
Epoch 17 Batch 141/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9308, Loss: 0.0908
Epoch 17 Batch 142/269 - Train Accuracy: 0.9308, Validation Accuracy: 0.9304, Loss: 0.0776
Epoch 17 Batch 143/269 - Train Accuracy: 0.9339, Validation Accuracy: 0.9293, Loss: 0.0814
Epoch 17 Batch 144/269 - Train Accuracy: 0.9392, Validation Accuracy: 0.9279, Loss: 0.0715
Epoch 17 Batch 145/269 - Train Accuracy: 0.9287, Validation Accuracy: 0.9338, Loss: 0.0782
Epoch 17 Batch 146/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9406, Loss: 0.0811
Epoch 17 Batch 147/269 - Train Accuracy: 0.9360, Validation Accuracy: 0.9383, Loss: 0.0870
Epoch 17 Batch 148/269 - Train Accuracy: 0.9258, Validation Accuracy: 0.9285, Loss: 0.0822
Epoch 17 Batch 149/269 - Train Accuracy: 0.9156, Validation Accuracy: 0.9253, Loss: 0.0962
Epoch 17 Batch 150/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9292, Loss: 0.0879
Epoch 17 Batch 151/269 - Train Accuracy: 0.9196, Validation Accuracy: 0.9325, Loss: 0.0878
Epoch 17 Batch 152/269 - Train Accuracy: 0.9329, Validation Accuracy: 0.9311, Loss: 0.0844
Epoch 17 Batch 153/269 - Train Accuracy: 0.9335, Validation Accuracy: 0.9317, Loss: 0.0835
Epoch 17 Batch 154/269 - Train Accuracy: 0.9449, Validation Accuracy: 0.9271, Loss: 0.0847
Epoch 17 Batch 155/269 - Train Accuracy: 0.9208, Validation Accuracy: 0.9294, Loss: 0.0778
Epoch 17 Batch 156/269 - Train Accuracy: 0.9288, Validation Accuracy: 0.9352, Loss: 0.0868
Epoch 17 Batch 157/269 - Train Accuracy: 0.9098, Validation Accuracy: 0.9307, Loss: 0.0805
Epoch 17 Batch 158/269 - Train Accuracy: 0.9303, Validation Accuracy: 0.9291, Loss: 0.0846
Epoch 17 Batch 159/269 - Train Accuracy: 0.9259, Validation Accuracy: 0.9317, Loss: 0.0885
Epoch 17 Batch 160/269 - Train Accuracy: 0.9342, Validation Accuracy: 0.9339, Loss: 0.0851
Epoch 17 Batch 161/269 - Train Accuracy: 0.9387, Validation Accuracy: 0.9347, Loss: 0.0843
Epoch 17 Batch 162/269 - Train Accuracy: 0.9347, Validation Accuracy: 0.9355, Loss: 0.0831
Epoch 17 Batch 163/269 - Train Accuracy: 0.9450, Validation Accuracy: 0.9347, Loss: 0.0862
Epoch 17 Batch 164/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9266, Loss: 0.0846
Epoch 17 Batch 165/269 - Train Accuracy: 0.9342, Validation Accuracy: 0.9321, Loss: 0.0813
Epoch 17 Batch 166/269 - Train Accuracy: 0.9339, Validation Accuracy: 0.9272, Loss: 0.0847
Epoch 17 Batch 167/269 - Train Accuracy: 0.9267, Validation Accuracy: 0.9292, Loss: 0.0818
Epoch 17 Batch 168/269 - Train Accuracy: 0.9301, Validation Accuracy: 0.9284, Loss: 0.0870
Epoch 17 Batch 169/269 - Train Accuracy: 0.9202, Validation Accuracy: 0.9334, Loss: 0.0819
Epoch 17 Batch 170/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9347, Loss: 0.0743
Epoch 17 Batch 171/269 - Train Accuracy: 0.9469, Validation Accuracy: 0.9377, Loss: 0.0836
Epoch 17 Batch 172/269 - Train Accuracy: 0.9243, Validation Accuracy: 0.9384, Loss: 0.0941
Epoch 17 Batch 173/269 - Train Accuracy: 0.9313, Validation Accuracy: 0.9318, Loss: 0.0803
Epoch 17 Batch 174/269 - Train Accuracy: 0.9342, Validation Accuracy: 0.9338, Loss: 0.0847
Epoch 17 Batch 175/269 - Train Accuracy: 0.9174, Validation Accuracy: 0.9380, Loss: 0.0983
Epoch 17 Batch 176/269 - Train Accuracy: 0.9093, Validation Accuracy: 0.9366, Loss: 0.0956
Epoch 17 Batch 177/269 - Train Accuracy: 0.9411, Validation Accuracy: 0.9344, Loss: 0.0771
Epoch 17 Batch 178/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9373, Loss: 0.0830
Epoch 17 Batch 179/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9407, Loss: 0.0833
Epoch 17 Batch 180/269 - Train Accuracy: 0.9349, Validation Accuracy: 0.9419, Loss: 0.0792
Epoch 17 Batch 181/269 - Train Accuracy: 0.9308, Validation Accuracy: 0.9418, Loss: 0.0862
Epoch 17 Batch 182/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9424, Loss: 0.0836
Epoch 17 Batch 183/269 - Train Accuracy: 0.9435, Validation Accuracy: 0.9380, Loss: 0.0711
Epoch 17 Batch 184/269 - Train Accuracy: 0.9306, Validation Accuracy: 0.9382, Loss: 0.0811
Epoch 17 Batch 185/269 - Train Accuracy: 0.9389, Validation Accuracy: 0.9384, Loss: 0.0823
Epoch 17 Batch 186/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9353, Loss: 0.0768
Epoch 17 Batch 187/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9358, Loss: 0.0786
Epoch 17 Batch 188/269 - Train Accuracy: 0.9292, Validation Accuracy: 0.9350, Loss: 0.0803
Epoch 17 Batch 189/269 - Train Accuracy: 0.9363, Validation Accuracy: 0.9399, Loss: 0.0725
Epoch 17 Batch 190/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9342, Loss: 0.0731
Epoch 17 Batch 191/269 - Train Accuracy: 0.9084, Validation Accuracy: 0.9335, Loss: 0.0814
Epoch 17 Batch 192/269 - Train Accuracy: 0.9266, Validation Accuracy: 0.9359, Loss: 0.0809
Epoch 17 Batch 193/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9377, Loss: 0.0789
Epoch 17 Batch 194/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9393, Loss: 0.0854
Epoch 17 Batch 195/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9307, Loss: 0.0804
Epoch 17 Batch 196/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9316, Loss: 0.0833
Epoch 17 Batch 197/269 - Train Accuracy: 0.9195, Validation Accuracy: 0.9367, Loss: 0.0867
Epoch 17 Batch 198/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9406, Loss: 0.0888
Epoch 17 Batch 199/269 - Train Accuracy: 0.9357, Validation Accuracy: 0.9393, Loss: 0.0875
Epoch 17 Batch 200/269 - Train Accuracy: 0.9297, Validation Accuracy: 0.9359, Loss: 0.0805
Epoch 17 Batch 201/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9292, Loss: 0.0824
Epoch 17 Batch 202/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9291, Loss: 0.0825
Epoch 17 Batch 203/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9309, Loss: 0.0878
Epoch 17 Batch 204/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9489, Loss: 0.0864
Epoch 17 Batch 205/269 - Train Accuracy: 0.9384, Validation Accuracy: 0.9399, Loss: 0.0827
Epoch 17 Batch 206/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9393, Loss: 0.0869
Epoch 17 Batch 207/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9439, Loss: 0.0849
Epoch 17 Batch 208/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9347, Loss: 0.0884
Epoch 17 Batch 209/269 - Train Accuracy: 0.9414, Validation Accuracy: 0.9343, Loss: 0.0740
Epoch 17 Batch 210/269 - Train Accuracy: 0.9430, Validation Accuracy: 0.9348, Loss: 0.0759
Epoch 17 Batch 211/269 - Train Accuracy: 0.9283, Validation Accuracy: 0.9385, Loss: 0.0884
Epoch 17 Batch 212/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9382, Loss: 0.0877
Epoch 17 Batch 213/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9440, Loss: 0.0834
Epoch 17 Batch 214/269 - Train Accuracy: 0.9360, Validation Accuracy: 0.9420, Loss: 0.0813
Epoch 17 Batch 215/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9371, Loss: 0.0823
Epoch 17 Batch 216/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9348, Loss: 0.0940
Epoch 17 Batch 217/269 - Train Accuracy: 0.9146, Validation Accuracy: 0.9325, Loss: 0.0822
Epoch 17 Batch 218/269 - Train Accuracy: 0.9334, Validation Accuracy: 0.9342, Loss: 0.0797
Epoch 17 Batch 219/269 - Train Accuracy: 0.9398, Validation Accuracy: 0.9410, Loss: 0.0837
Epoch 17 Batch 220/269 - Train Accuracy: 0.9383, Validation Accuracy: 0.9372, Loss: 0.0778
Epoch 17 Batch 221/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9394, Loss: 0.0847
Epoch 17 Batch 222/269 - Train Accuracy: 0.9408, Validation Accuracy: 0.9372, Loss: 0.0748
Epoch 17 Batch 223/269 - Train Accuracy: 0.9212, Validation Accuracy: 0.9398, Loss: 0.0783
Epoch 17 Batch 224/269 - Train Accuracy: 0.9325, Validation Accuracy: 0.9402, Loss: 0.0873
Epoch 17 Batch 225/269 - Train Accuracy: 0.9250, Validation Accuracy: 0.9421, Loss: 0.0748
Epoch 17 Batch 226/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9375, Loss: 0.0839
Epoch 17 Batch 227/269 - Train Accuracy: 0.9412, Validation Accuracy: 0.9379, Loss: 0.0919
Epoch 17 Batch 228/269 - Train Accuracy: 0.9373, Validation Accuracy: 0.9311, Loss: 0.0800
Epoch 17 Batch 229/269 - Train Accuracy: 0.9246, Validation Accuracy: 0.9343, Loss: 0.0817
Epoch 17 Batch 230/269 - Train Accuracy: 0.9335, Validation Accuracy: 0.9303, Loss: 0.0823
Epoch 17 Batch 231/269 - Train Accuracy: 0.9295, Validation Accuracy: 0.9354, Loss: 0.0838
Epoch 17 Batch 232/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9364, Loss: 0.0829
Epoch 17 Batch 233/269 - Train Accuracy: 0.9376, Validation Accuracy: 0.9341, Loss: 0.0813
Epoch 17 Batch 234/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9340, Loss: 0.0817
Epoch 17 Batch 235/269 - Train Accuracy: 0.9573, Validation Accuracy: 0.9427, Loss: 0.0700
Epoch 17 Batch 236/269 - Train Accuracy: 0.9327, Validation Accuracy: 0.9390, Loss: 0.0735
Epoch 17 Batch 237/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9432, Loss: 0.0737
Epoch 17 Batch 238/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9411, Loss: 0.0798
Epoch 17 Batch 239/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9403, Loss: 0.0762
Epoch 17 Batch 240/269 - Train Accuracy: 0.9357, Validation Accuracy: 0.9391, Loss: 0.0731
Epoch 17 Batch 241/269 - Train Accuracy: 0.9272, Validation Accuracy: 0.9383, Loss: 0.0910
Epoch 17 Batch 242/269 - Train Accuracy: 0.9466, Validation Accuracy: 0.9363, Loss: 0.0760
Epoch 17 Batch 243/269 - Train Accuracy: 0.9370, Validation Accuracy: 0.9355, Loss: 0.0727
Epoch 17 Batch 244/269 - Train Accuracy: 0.9263, Validation Accuracy: 0.9351, Loss: 0.0778
Epoch 17 Batch 245/269 - Train Accuracy: 0.9211, Validation Accuracy: 0.9403, Loss: 0.0811
Epoch 17 Batch 246/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9410, Loss: 0.0840
Epoch 17 Batch 247/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9435, Loss: 0.0782
Epoch 17 Batch 248/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9457, Loss: 0.0789
Epoch 17 Batch 249/269 - Train Accuracy: 0.9340, Validation Accuracy: 0.9411, Loss: 0.0713
Epoch 17 Batch 250/269 - Train Accuracy: 0.9378, Validation Accuracy: 0.9448, Loss: 0.0793
Epoch 17 Batch 251/269 - Train Accuracy: 0.9479, Validation Accuracy: 0.9434, Loss: 0.0722
Epoch 17 Batch 252/269 - Train Accuracy: 0.9366, Validation Accuracy: 0.9474, Loss: 0.0722
Epoch 17 Batch 253/269 - Train Accuracy: 0.9153, Validation Accuracy: 0.9423, Loss: 0.0846
Epoch 17 Batch 254/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9355, Loss: 0.0778
Epoch 17 Batch 255/269 - Train Accuracy: 0.9347, Validation Accuracy: 0.9354, Loss: 0.0805
Epoch 17 Batch 256/269 - Train Accuracy: 0.9369, Validation Accuracy: 0.9393, Loss: 0.0859
Epoch 17 Batch 257/269 - Train Accuracy: 0.9120, Validation Accuracy: 0.9392, Loss: 0.0881
Epoch 17 Batch 258/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9341, Loss: 0.0845
Epoch 17 Batch 259/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9376, Loss: 0.0786
Epoch 17 Batch 260/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9395, Loss: 0.0886
Epoch 17 Batch 261/269 - Train Accuracy: 0.9305, Validation Accuracy: 0.9432, Loss: 0.0831
Epoch 17 Batch 262/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9422, Loss: 0.0848
Epoch 17 Batch 263/269 - Train Accuracy: 0.9299, Validation Accuracy: 0.9372, Loss: 0.0825
Epoch 17 Batch 264/269 - Train Accuracy: 0.9147, Validation Accuracy: 0.9386, Loss: 0.0901
Epoch 17 Batch 265/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9364, Loss: 0.0839
Epoch 17 Batch 266/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9370, Loss: 0.0772
Epoch 17 Batch 267/269 - Train Accuracy: 0.9390, Validation Accuracy: 0.9412, Loss: 0.0870
Epoch 18 Batch 1/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9393, Loss: 0.0789
Epoch 18 Batch 2/269 - Train Accuracy: 0.9389, Validation Accuracy: 0.9407, Loss: 0.0835
Epoch 18 Batch 3/269 - Train Accuracy: 0.9412, Validation Accuracy: 0.9404, Loss: 0.0833
Epoch 18 Batch 4/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9385, Loss: 0.0812
Epoch 18 Batch 5/269 - Train Accuracy: 0.9387, Validation Accuracy: 0.9381, Loss: 0.0826
Epoch 18 Batch 6/269 - Train Accuracy: 0.9484, Validation Accuracy: 0.9384, Loss: 0.0796
Epoch 18 Batch 7/269 - Train Accuracy: 0.9431, Validation Accuracy: 0.9348, Loss: 0.0765
Epoch 18 Batch 8/269 - Train Accuracy: 0.9461, Validation Accuracy: 0.9313, Loss: 0.0819
Epoch 18 Batch 9/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9376, Loss: 0.0849
Epoch 18 Batch 10/269 - Train Accuracy: 0.9426, Validation Accuracy: 0.9279, Loss: 0.0750
Epoch 18 Batch 11/269 - Train Accuracy: 0.9323, Validation Accuracy: 0.9290, Loss: 0.0846
Epoch 18 Batch 12/269 - Train Accuracy: 0.9245, Validation Accuracy: 0.9284, Loss: 0.0853
Epoch 18 Batch 13/269 - Train Accuracy: 0.9447, Validation Accuracy: 0.9420, Loss: 0.0722
Epoch 18 Batch 14/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9488, Loss: 0.0827
Epoch 18 Batch 15/269 - Train Accuracy: 0.9481, Validation Accuracy: 0.9458, Loss: 0.0658
Epoch 18 Batch 16/269 - Train Accuracy: 0.9242, Validation Accuracy: 0.9411, Loss: 0.0889
Epoch 18 Batch 17/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9317, Loss: 0.0801
Epoch 18 Batch 18/269 - Train Accuracy: 0.9276, Validation Accuracy: 0.9319, Loss: 0.0835
Epoch 18 Batch 19/269 - Train Accuracy: 0.9403, Validation Accuracy: 0.9367, Loss: 0.0696
Epoch 18 Batch 20/269 - Train Accuracy: 0.9366, Validation Accuracy: 0.9391, Loss: 0.0796
Epoch 18 Batch 21/269 - Train Accuracy: 0.9164, Validation Accuracy: 0.9406, Loss: 0.0959
Epoch 18 Batch 22/269 - Train Accuracy: 0.9450, Validation Accuracy: 0.9401, Loss: 0.0767
Epoch 18 Batch 23/269 - Train Accuracy: 0.9303, Validation Accuracy: 0.9396, Loss: 0.0833
Epoch 18 Batch 24/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9347, Loss: 0.0775
Epoch 18 Batch 25/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9341, Loss: 0.0883
Epoch 18 Batch 26/269 - Train Accuracy: 0.9302, Validation Accuracy: 0.9389, Loss: 0.0765
Epoch 18 Batch 27/269 - Train Accuracy: 0.9180, Validation Accuracy: 0.9371, Loss: 0.0759
Epoch 18 Batch 28/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9356, Loss: 0.0843
Epoch 18 Batch 29/269 - Train Accuracy: 0.9396, Validation Accuracy: 0.9387, Loss: 0.0863
Epoch 18 Batch 30/269 - Train Accuracy: 0.9266, Validation Accuracy: 0.9310, Loss: 0.0829
Epoch 18 Batch 31/269 - Train Accuracy: 0.9439, Validation Accuracy: 0.9342, Loss: 0.0840
Epoch 18 Batch 32/269 - Train Accuracy: 0.9459, Validation Accuracy: 0.9372, Loss: 0.0751
Epoch 18 Batch 33/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9397, Loss: 0.0724
Epoch 18 Batch 34/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9349, Loss: 0.0771
Epoch 18 Batch 35/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9416, Loss: 0.0929
Epoch 18 Batch 36/269 - Train Accuracy: 0.9199, Validation Accuracy: 0.9375, Loss: 0.0823
Epoch 18 Batch 37/269 - Train Accuracy: 0.9384, Validation Accuracy: 0.9355, Loss: 0.0827
Epoch 18 Batch 38/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9415, Loss: 0.0759
Epoch 18 Batch 39/269 - Train Accuracy: 0.9444, Validation Accuracy: 0.9448, Loss: 0.0759
Epoch 18 Batch 40/269 - Train Accuracy: 0.9222, Validation Accuracy: 0.9442, Loss: 0.0907
Epoch 18 Batch 41/269 - Train Accuracy: 0.9232, Validation Accuracy: 0.9412, Loss: 0.0838
Epoch 18 Batch 42/269 - Train Accuracy: 0.9442, Validation Accuracy: 0.9395, Loss: 0.0778
Epoch 18 Batch 43/269 - Train Accuracy: 0.9363, Validation Accuracy: 0.9394, Loss: 0.0836
Epoch 18 Batch 44/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9392, Loss: 0.0817
Epoch 18 Batch 45/269 - Train Accuracy: 0.9271, Validation Accuracy: 0.9402, Loss: 0.0842
Epoch 18 Batch 46/269 - Train Accuracy: 0.9418, Validation Accuracy: 0.9426, Loss: 0.0738
Epoch 18 Batch 47/269 - Train Accuracy: 0.9433, Validation Accuracy: 0.9460, Loss: 0.0692
Epoch 18 Batch 48/269 - Train Accuracy: 0.9423, Validation Accuracy: 0.9426, Loss: 0.0770
Epoch 18 Batch 49/269 - Train Accuracy: 0.9440, Validation Accuracy: 0.9392, Loss: 0.0736
Epoch 18 Batch 50/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9361, Loss: 0.0879
Epoch 18 Batch 51/269 - Train Accuracy: 0.9365, Validation Accuracy: 0.9370, Loss: 0.0781
Epoch 18 Batch 52/269 - Train Accuracy: 0.9254, Validation Accuracy: 0.9360, Loss: 0.0672
Epoch 18 Batch 53/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9371, Loss: 0.0840
Epoch 18 Batch 54/269 - Train Accuracy: 0.9386, Validation Accuracy: 0.9332, Loss: 0.0775
Epoch 18 Batch 55/269 - Train Accuracy: 0.9461, Validation Accuracy: 0.9363, Loss: 0.0762
Epoch 18 Batch 56/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9341, Loss: 0.0803
Epoch 18 Batch 57/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9367, Loss: 0.0850
Epoch 18 Batch 58/269 - Train Accuracy: 0.9465, Validation Accuracy: 0.9393, Loss: 0.0805
Epoch 18 Batch 59/269 - Train Accuracy: 0.9552, Validation Accuracy: 0.9409, Loss: 0.0633
Epoch 18 Batch 60/269 - Train Accuracy: 0.9363, Validation Accuracy: 0.9395, Loss: 0.0721
Epoch 18 Batch 61/269 - Train Accuracy: 0.9334, Validation Accuracy: 0.9440, Loss: 0.0693
Epoch 18 Batch 62/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9425, Loss: 0.0783
Epoch 18 Batch 63/269 - Train Accuracy: 0.9342, Validation Accuracy: 0.9418, Loss: 0.0895
Epoch 18 Batch 64/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9406, Loss: 0.0717
Epoch 18 Batch 65/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9363, Loss: 0.0779
Epoch 18 Batch 66/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9420, Loss: 0.0807
Epoch 18 Batch 67/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9424, Loss: 0.0857
Epoch 18 Batch 68/269 - Train Accuracy: 0.9180, Validation Accuracy: 0.9355, Loss: 0.0824
Epoch 18 Batch 69/269 - Train Accuracy: 0.9193, Validation Accuracy: 0.9321, Loss: 0.0911
Epoch 18 Batch 70/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9333, Loss: 0.0873
Epoch 18 Batch 71/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9388, Loss: 0.0920
Epoch 18 Batch 72/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9465, Loss: 0.0870
Epoch 18 Batch 73/269 - Train Accuracy: 0.9328, Validation Accuracy: 0.9458, Loss: 0.0848
Epoch 18 Batch 74/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9358, Loss: 0.0752
Epoch 18 Batch 75/269 - Train Accuracy: 0.9330, Validation Accuracy: 0.9325, Loss: 0.0827
Epoch 18 Batch 76/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9353, Loss: 0.0805
Epoch 18 Batch 77/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9371, Loss: 0.0794
Epoch 18 Batch 78/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9473, Loss: 0.0739
Epoch 18 Batch 79/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9441, Loss: 0.0755
Epoch 18 Batch 80/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9432, Loss: 0.0766
Epoch 18 Batch 81/269 - Train Accuracy: 0.9320, Validation Accuracy: 0.9415, Loss: 0.0917
Epoch 18 Batch 82/269 - Train Accuracy: 0.9489, Validation Accuracy: 0.9386, Loss: 0.0666
Epoch 18 Batch 83/269 - Train Accuracy: 0.9140, Validation Accuracy: 0.9387, Loss: 0.0911
Epoch 18 Batch 84/269 - Train Accuracy: 0.9447, Validation Accuracy: 0.9368, Loss: 0.0772
Epoch 18 Batch 85/269 - Train Accuracy: 0.9402, Validation Accuracy: 0.9400, Loss: 0.0743
Epoch 18 Batch 86/269 - Train Accuracy: 0.9374, Validation Accuracy: 0.9370, Loss: 0.0724
Epoch 18 Batch 87/269 - Train Accuracy: 0.9241, Validation Accuracy: 0.9394, Loss: 0.0832
Epoch 18 Batch 88/269 - Train Accuracy: 0.9207, Validation Accuracy: 0.9324, Loss: 0.0835
Epoch 18 Batch 89/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9387, Loss: 0.0774
Epoch 18 Batch 90/269 - Train Accuracy: 0.9450, Validation Accuracy: 0.9413, Loss: 0.0800
Epoch 18 Batch 91/269 - Train Accuracy: 0.9462, Validation Accuracy: 0.9422, Loss: 0.0760
Epoch 18 Batch 92/269 - Train Accuracy: 0.9413, Validation Accuracy: 0.9384, Loss: 0.0712
Epoch 18 Batch 93/269 - Train Accuracy: 0.9393, Validation Accuracy: 0.9353, Loss: 0.0727
Epoch 18 Batch 94/269 - Train Accuracy: 0.9379, Validation Accuracy: 0.9356, Loss: 0.0911
Epoch 18 Batch 95/269 - Train Accuracy: 0.9409, Validation Accuracy: 0.9321, Loss: 0.0775
Epoch 18 Batch 96/269 - Train Accuracy: 0.9210, Validation Accuracy: 0.9375, Loss: 0.0802
Epoch 18 Batch 97/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9390, Loss: 0.0842
Epoch 18 Batch 98/269 - Train Accuracy: 0.9432, Validation Accuracy: 0.9361, Loss: 0.0765
Epoch 18 Batch 99/269 - Train Accuracy: 0.9367, Validation Accuracy: 0.9427, Loss: 0.0756
Epoch 18 Batch 100/269 - Train Accuracy: 0.9409, Validation Accuracy: 0.9420, Loss: 0.0779
Epoch 18 Batch 101/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9422, Loss: 0.0897
Epoch 18 Batch 102/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9392, Loss: 0.0741
Epoch 18 Batch 103/269 - Train Accuracy: 0.9404, Validation Accuracy: 0.9331, Loss: 0.0862
Epoch 18 Batch 104/269 - Train Accuracy: 0.9346, Validation Accuracy: 0.9378, Loss: 0.0794
Epoch 18 Batch 105/269 - Train Accuracy: 0.9315, Validation Accuracy: 0.9441, Loss: 0.0775
Epoch 18 Batch 106/269 - Train Accuracy: 0.9441, Validation Accuracy: 0.9497, Loss: 0.0761
Epoch 18 Batch 107/269 - Train Accuracy: 0.9425, Validation Accuracy: 0.9501, Loss: 0.0764
Epoch 18 Batch 108/269 - Train Accuracy: 0.9509, Validation Accuracy: 0.9463, Loss: 0.0777
Epoch 18 Batch 109/269 - Train Accuracy: 0.9203, Validation Accuracy: 0.9450, Loss: 0.0803
Epoch 18 Batch 110/269 - Train Accuracy: 0.9337, Validation Accuracy: 0.9477, Loss: 0.0700
Epoch 18 Batch 111/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9421, Loss: 0.0882
Epoch 18 Batch 112/269 - Train Accuracy: 0.9330, Validation Accuracy: 0.9409, Loss: 0.0778
Epoch 18 Batch 113/269 - Train Accuracy: 0.9348, Validation Accuracy: 0.9421, Loss: 0.0782
Epoch 18 Batch 114/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9412, Loss: 0.0743
Epoch 18 Batch 115/269 - Train Accuracy: 0.9343, Validation Accuracy: 0.9365, Loss: 0.0798
Epoch 18 Batch 116/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9287, Loss: 0.0776
Epoch 18 Batch 117/269 - Train Accuracy: 0.9353, Validation Accuracy: 0.9282, Loss: 0.0754
Epoch 18 Batch 118/269 - Train Accuracy: 0.9426, Validation Accuracy: 0.9357, Loss: 0.0738
Epoch 18 Batch 119/269 - Train Accuracy: 0.9215, Validation Accuracy: 0.9436, Loss: 0.0906
Epoch 18 Batch 120/269 - Train Accuracy: 0.9303, Validation Accuracy: 0.9444, Loss: 0.0765
Epoch 18 Batch 121/269 - Train Accuracy: 0.9190, Validation Accuracy: 0.9442, Loss: 0.0787
Epoch 18 Batch 122/269 - Train Accuracy: 0.9472, Validation Accuracy: 0.9331, Loss: 0.0777
Epoch 18 Batch 123/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9290, Loss: 0.0753
Epoch 18 Batch 124/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9443, Loss: 0.0736
Epoch 18 Batch 125/269 - Train Accuracy: 0.9435, Validation Accuracy: 0.9437, Loss: 0.0706
Epoch 18 Batch 126/269 - Train Accuracy: 0.9205, Validation Accuracy: 0.9466, Loss: 0.0811
Epoch 18 Batch 127/269 - Train Accuracy: 0.9400, Validation Accuracy: 0.9443, Loss: 0.0792
Epoch 18 Batch 128/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9445, Loss: 0.0808
Epoch 18 Batch 129/269 - Train Accuracy: 0.9181, Validation Accuracy: 0.9359, Loss: 0.0819
Epoch 18 Batch 130/269 - Train Accuracy: 0.9471, Validation Accuracy: 0.9339, Loss: 0.0817
Epoch 18 Batch 131/269 - Train Accuracy: 0.9284, Validation Accuracy: 0.9395, Loss: 0.0831
Epoch 18 Batch 132/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9448, Loss: 0.0804
Epoch 18 Batch 133/269 - Train Accuracy: 0.9413, Validation Accuracy: 0.9468, Loss: 0.0696
Epoch 18 Batch 134/269 - Train Accuracy: 0.9214, Validation Accuracy: 0.9454, Loss: 0.0854
Epoch 18 Batch 135/269 - Train Accuracy: 0.9444, Validation Accuracy: 0.9432, Loss: 0.0815
Epoch 18 Batch 136/269 - Train Accuracy: 0.9103, Validation Accuracy: 0.9406, Loss: 0.0823
Epoch 18 Batch 137/269 - Train Accuracy: 0.9227, Validation Accuracy: 0.9439, Loss: 0.0879
Epoch 18 Batch 138/269 - Train Accuracy: 0.9378, Validation Accuracy: 0.9461, Loss: 0.0735
Epoch 18 Batch 139/269 - Train Accuracy: 0.9488, Validation Accuracy: 0.9421, Loss: 0.0737
Epoch 18 Batch 140/269 - Train Accuracy: 0.9304, Validation Accuracy: 0.9411, Loss: 0.0880
Epoch 18 Batch 141/269 - Train Accuracy: 0.9268, Validation Accuracy: 0.9375, Loss: 0.0833
Epoch 18 Batch 142/269 - Train Accuracy: 0.9261, Validation Accuracy: 0.9324, Loss: 0.0739
Epoch 18 Batch 143/269 - Train Accuracy: 0.9359, Validation Accuracy: 0.9313, Loss: 0.0709
Epoch 18 Batch 144/269 - Train Accuracy: 0.9417, Validation Accuracy: 0.9299, Loss: 0.0637
Epoch 18 Batch 145/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9361, Loss: 0.0755
Epoch 18 Batch 146/269 - Train Accuracy: 0.9411, Validation Accuracy: 0.9390, Loss: 0.0718
Epoch 18 Batch 147/269 - Train Accuracy: 0.9353, Validation Accuracy: 0.9397, Loss: 0.0856
Epoch 18 Batch 148/269 - Train Accuracy: 0.9317, Validation Accuracy: 0.9416, Loss: 0.0816
Epoch 18 Batch 149/269 - Train Accuracy: 0.9169, Validation Accuracy: 0.9434, Loss: 0.0925
Epoch 18 Batch 150/269 - Train Accuracy: 0.9406, Validation Accuracy: 0.9445, Loss: 0.0789
Epoch 18 Batch 151/269 - Train Accuracy: 0.9345, Validation Accuracy: 0.9458, Loss: 0.0768
Epoch 18 Batch 152/269 - Train Accuracy: 0.9352, Validation Accuracy: 0.9440, Loss: 0.0764
Epoch 18 Batch 153/269 - Train Accuracy: 0.9389, Validation Accuracy: 0.9464, Loss: 0.0708
Epoch 18 Batch 154/269 - Train Accuracy: 0.9488, Validation Accuracy: 0.9401, Loss: 0.0759
Epoch 18 Batch 155/269 - Train Accuracy: 0.9382, Validation Accuracy: 0.9403, Loss: 0.0773
Epoch 18 Batch 156/269 - Train Accuracy: 0.9352, Validation Accuracy: 0.9367, Loss: 0.0851
Epoch 18 Batch 157/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9370, Loss: 0.0729
Epoch 18 Batch 158/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9347, Loss: 0.0793
Epoch 18 Batch 159/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9441, Loss: 0.0828
Epoch 18 Batch 160/269 - Train Accuracy: 0.9230, Validation Accuracy: 0.9446, Loss: 0.0706
Epoch 18 Batch 161/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9457, Loss: 0.0769
Epoch 18 Batch 162/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9454, Loss: 0.0768
Epoch 18 Batch 163/269 - Train Accuracy: 0.9412, Validation Accuracy: 0.9399, Loss: 0.0813
Epoch 18 Batch 164/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9327, Loss: 0.0774
Epoch 18 Batch 165/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9360, Loss: 0.0743
Epoch 18 Batch 166/269 - Train Accuracy: 0.9400, Validation Accuracy: 0.9433, Loss: 0.0757
Epoch 18 Batch 167/269 - Train Accuracy: 0.9359, Validation Accuracy: 0.9400, Loss: 0.0766
Epoch 18 Batch 168/269 - Train Accuracy: 0.9364, Validation Accuracy: 0.9392, Loss: 0.0765
Epoch 18 Batch 169/269 - Train Accuracy: 0.9183, Validation Accuracy: 0.9404, Loss: 0.0752
Epoch 18 Batch 170/269 - Train Accuracy: 0.9231, Validation Accuracy: 0.9408, Loss: 0.0776
Epoch 18 Batch 171/269 - Train Accuracy: 0.9490, Validation Accuracy: 0.9428, Loss: 0.0821
Epoch 18 Batch 172/269 - Train Accuracy: 0.9236, Validation Accuracy: 0.9434, Loss: 0.0859
Epoch 18 Batch 173/269 - Train Accuracy: 0.9384, Validation Accuracy: 0.9404, Loss: 0.0683
Epoch 18 Batch 174/269 - Train Accuracy: 0.9478, Validation Accuracy: 0.9390, Loss: 0.0781
Epoch 18 Batch 175/269 - Train Accuracy: 0.9199, Validation Accuracy: 0.9376, Loss: 0.0902
Epoch 18 Batch 176/269 - Train Accuracy: 0.9116, Validation Accuracy: 0.9418, Loss: 0.0822
Epoch 18 Batch 177/269 - Train Accuracy: 0.9404, Validation Accuracy: 0.9378, Loss: 0.0790
Epoch 18 Batch 178/269 - Train Accuracy: 0.9377, Validation Accuracy: 0.9426, Loss: 0.0715
Epoch 18 Batch 179/269 - Train Accuracy: 0.9223, Validation Accuracy: 0.9430, Loss: 0.0760
Epoch 18 Batch 180/269 - Train Accuracy: 0.9467, Validation Accuracy: 0.9383, Loss: 0.0766
Epoch 18 Batch 181/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9456, Loss: 0.0776
Epoch 18 Batch 182/269 - Train Accuracy: 0.9269, Validation Accuracy: 0.9431, Loss: 0.0778
Epoch 18 Batch 183/269 - Train Accuracy: 0.9452, Validation Accuracy: 0.9368, Loss: 0.0664
Epoch 18 Batch 184/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9331, Loss: 0.0765
Epoch 18 Batch 185/269 - Train Accuracy: 0.9374, Validation Accuracy: 0.9370, Loss: 0.0794
Epoch 18 Batch 186/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9371, Loss: 0.0730
Epoch 18 Batch 187/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9326, Loss: 0.0748
Epoch 18 Batch 188/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9362, Loss: 0.0773
Epoch 18 Batch 189/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9381, Loss: 0.0736
Epoch 18 Batch 190/269 - Train Accuracy: 0.9323, Validation Accuracy: 0.9327, Loss: 0.0715
Epoch 18 Batch 191/269 - Train Accuracy: 0.9225, Validation Accuracy: 0.9332, Loss: 0.0739
Epoch 18 Batch 192/269 - Train Accuracy: 0.9356, Validation Accuracy: 0.9413, Loss: 0.0770
Epoch 18 Batch 193/269 - Train Accuracy: 0.9365, Validation Accuracy: 0.9442, Loss: 0.0742
Epoch 18 Batch 194/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9388, Loss: 0.0805
Epoch 18 Batch 195/269 - Train Accuracy: 0.9295, Validation Accuracy: 0.9351, Loss: 0.0733
Epoch 18 Batch 196/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9354, Loss: 0.0748
Epoch 18 Batch 197/269 - Train Accuracy: 0.9254, Validation Accuracy: 0.9394, Loss: 0.0817
Epoch 18 Batch 198/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9400, Loss: 0.0833
Epoch 18 Batch 199/269 - Train Accuracy: 0.9438, Validation Accuracy: 0.9355, Loss: 0.0775
Epoch 18 Batch 200/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9276, Loss: 0.0726
Epoch 18 Batch 201/269 - Train Accuracy: 0.9407, Validation Accuracy: 0.9315, Loss: 0.0781
Epoch 18 Batch 202/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9399, Loss: 0.0778
Epoch 18 Batch 203/269 - Train Accuracy: 0.9272, Validation Accuracy: 0.9412, Loss: 0.0839
Epoch 18 Batch 204/269 - Train Accuracy: 0.9388, Validation Accuracy: 0.9415, Loss: 0.0757
Epoch 18 Batch 205/269 - Train Accuracy: 0.9394, Validation Accuracy: 0.9446, Loss: 0.0743
Epoch 18 Batch 206/269 - Train Accuracy: 0.9191, Validation Accuracy: 0.9447, Loss: 0.0854
Epoch 18 Batch 207/269 - Train Accuracy: 0.9255, Validation Accuracy: 0.9421, Loss: 0.0797
Epoch 18 Batch 208/269 - Train Accuracy: 0.9313, Validation Accuracy: 0.9442, Loss: 0.0826
Epoch 18 Batch 209/269 - Train Accuracy: 0.9459, Validation Accuracy: 0.9431, Loss: 0.0710
Epoch 18 Batch 210/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9431, Loss: 0.0743
Epoch 18 Batch 211/269 - Train Accuracy: 0.9290, Validation Accuracy: 0.9418, Loss: 0.0817
Epoch 18 Batch 212/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9416, Loss: 0.0807
Epoch 18 Batch 213/269 - Train Accuracy: 0.9354, Validation Accuracy: 0.9433, Loss: 0.0745
Epoch 18 Batch 214/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9459, Loss: 0.0764
Epoch 18 Batch 215/269 - Train Accuracy: 0.9341, Validation Accuracy: 0.9438, Loss: 0.0765
Epoch 18 Batch 216/269 - Train Accuracy: 0.9358, Validation Accuracy: 0.9431, Loss: 0.0869
Epoch 18 Batch 217/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9379, Loss: 0.0856
Epoch 18 Batch 218/269 - Train Accuracy: 0.9306, Validation Accuracy: 0.9385, Loss: 0.0738
Epoch 18 Batch 219/269 - Train Accuracy: 0.9405, Validation Accuracy: 0.9374, Loss: 0.0785
Epoch 18 Batch 220/269 - Train Accuracy: 0.9377, Validation Accuracy: 0.9374, Loss: 0.0730
Epoch 18 Batch 221/269 - Train Accuracy: 0.9321, Validation Accuracy: 0.9343, Loss: 0.0790
Epoch 18 Batch 222/269 - Train Accuracy: 0.9466, Validation Accuracy: 0.9351, Loss: 0.0702
Epoch 18 Batch 223/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9401, Loss: 0.0760
Epoch 18 Batch 224/269 - Train Accuracy: 0.9337, Validation Accuracy: 0.9408, Loss: 0.0861
Epoch 18 Batch 225/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9406, Loss: 0.0745
Epoch 18 Batch 226/269 - Train Accuracy: 0.9384, Validation Accuracy: 0.9449, Loss: 0.0794
Epoch 18 Batch 227/269 - Train Accuracy: 0.9419, Validation Accuracy: 0.9387, Loss: 0.0917
Epoch 18 Batch 228/269 - Train Accuracy: 0.9357, Validation Accuracy: 0.9372, Loss: 0.0700
Epoch 18 Batch 229/269 - Train Accuracy: 0.9299, Validation Accuracy: 0.9405, Loss: 0.0736
Epoch 18 Batch 230/269 - Train Accuracy: 0.9369, Validation Accuracy: 0.9453, Loss: 0.0747
Epoch 18 Batch 231/269 - Train Accuracy: 0.9282, Validation Accuracy: 0.9453, Loss: 0.0764
Epoch 18 Batch 232/269 - Train Accuracy: 0.9368, Validation Accuracy: 0.9506, Loss: 0.0818
Epoch 18 Batch 233/269 - Train Accuracy: 0.9461, Validation Accuracy: 0.9507, Loss: 0.0777
Epoch 18 Batch 234/269 - Train Accuracy: 0.9410, Validation Accuracy: 0.9448, Loss: 0.0738
Epoch 18 Batch 235/269 - Train Accuracy: 0.9631, Validation Accuracy: 0.9464, Loss: 0.0671
Epoch 18 Batch 236/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9479, Loss: 0.0726
Epoch 18 Batch 237/269 - Train Accuracy: 0.9374, Validation Accuracy: 0.9444, Loss: 0.0730
Epoch 18 Batch 238/269 - Train Accuracy: 0.9389, Validation Accuracy: 0.9450, Loss: 0.0741
Epoch 18 Batch 239/269 - Train Accuracy: 0.9256, Validation Accuracy: 0.9371, Loss: 0.0796
Epoch 18 Batch 240/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9372, Loss: 0.0755
Epoch 18 Batch 241/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9355, Loss: 0.0877
Epoch 18 Batch 242/269 - Train Accuracy: 0.9488, Validation Accuracy: 0.9379, Loss: 0.0713
Epoch 18 Batch 243/269 - Train Accuracy: 0.9375, Validation Accuracy: 0.9425, Loss: 0.0693
Epoch 18 Batch 244/269 - Train Accuracy: 0.9281, Validation Accuracy: 0.9446, Loss: 0.0766
Epoch 18 Batch 245/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9447, Loss: 0.0784
Epoch 18 Batch 246/269 - Train Accuracy: 0.9264, Validation Accuracy: 0.9403, Loss: 0.0805
Epoch 18 Batch 247/269 - Train Accuracy: 0.9417, Validation Accuracy: 0.9421, Loss: 0.0750
Epoch 18 Batch 248/269 - Train Accuracy: 0.9379, Validation Accuracy: 0.9390, Loss: 0.0699
Epoch 18 Batch 249/269 - Train Accuracy: 0.9325, Validation Accuracy: 0.9398, Loss: 0.0670
Epoch 18 Batch 250/269 - Train Accuracy: 0.9496, Validation Accuracy: 0.9486, Loss: 0.0741
Epoch 18 Batch 251/269 - Train Accuracy: 0.9571, Validation Accuracy: 0.9439, Loss: 0.0679
Epoch 18 Batch 252/269 - Train Accuracy: 0.9439, Validation Accuracy: 0.9427, Loss: 0.0673
Epoch 18 Batch 253/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9424, Loss: 0.0796
Epoch 18 Batch 254/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9474, Loss: 0.0722
Epoch 18 Batch 255/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9403, Loss: 0.0766
Epoch 18 Batch 256/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9434, Loss: 0.0774
Epoch 18 Batch 257/269 - Train Accuracy: 0.9167, Validation Accuracy: 0.9427, Loss: 0.0826
Epoch 18 Batch 258/269 - Train Accuracy: 0.9308, Validation Accuracy: 0.9433, Loss: 0.0819
Epoch 18 Batch 259/269 - Train Accuracy: 0.9408, Validation Accuracy: 0.9429, Loss: 0.0729
Epoch 18 Batch 260/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9420, Loss: 0.0803
Epoch 18 Batch 261/269 - Train Accuracy: 0.9434, Validation Accuracy: 0.9407, Loss: 0.0808
Epoch 18 Batch 262/269 - Train Accuracy: 0.9398, Validation Accuracy: 0.9399, Loss: 0.0813
Epoch 18 Batch 263/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9391, Loss: 0.0791
Epoch 18 Batch 264/269 - Train Accuracy: 0.9106, Validation Accuracy: 0.9451, Loss: 0.0817
Epoch 18 Batch 265/269 - Train Accuracy: 0.9323, Validation Accuracy: 0.9446, Loss: 0.0743
Epoch 18 Batch 266/269 - Train Accuracy: 0.9335, Validation Accuracy: 0.9455, Loss: 0.0677
Epoch 18 Batch 267/269 - Train Accuracy: 0.9437, Validation Accuracy: 0.9417, Loss: 0.0811
Epoch 19 Batch 1/269 - Train Accuracy: 0.9278, Validation Accuracy: 0.9441, Loss: 0.0754
Epoch 19 Batch 2/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9463, Loss: 0.0767
Epoch 19 Batch 3/269 - Train Accuracy: 0.9441, Validation Accuracy: 0.9457, Loss: 0.0761
Epoch 19 Batch 4/269 - Train Accuracy: 0.9172, Validation Accuracy: 0.9424, Loss: 0.0757
Epoch 19 Batch 5/269 - Train Accuracy: 0.9327, Validation Accuracy: 0.9462, Loss: 0.0794
Epoch 19 Batch 6/269 - Train Accuracy: 0.9489, Validation Accuracy: 0.9450, Loss: 0.0719
Epoch 19 Batch 7/269 - Train Accuracy: 0.9409, Validation Accuracy: 0.9461, Loss: 0.0739
Epoch 19 Batch 8/269 - Train Accuracy: 0.9540, Validation Accuracy: 0.9477, Loss: 0.0773
Epoch 19 Batch 9/269 - Train Accuracy: 0.9307, Validation Accuracy: 0.9436, Loss: 0.0823
Epoch 19 Batch 10/269 - Train Accuracy: 0.9374, Validation Accuracy: 0.9426, Loss: 0.0746
Epoch 19 Batch 11/269 - Train Accuracy: 0.9336, Validation Accuracy: 0.9382, Loss: 0.0855
Epoch 19 Batch 12/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9419, Loss: 0.0826
Epoch 19 Batch 13/269 - Train Accuracy: 0.9407, Validation Accuracy: 0.9405, Loss: 0.0637
Epoch 19 Batch 14/269 - Train Accuracy: 0.9262, Validation Accuracy: 0.9407, Loss: 0.0737
Epoch 19 Batch 15/269 - Train Accuracy: 0.9514, Validation Accuracy: 0.9438, Loss: 0.0648
Epoch 19 Batch 16/269 - Train Accuracy: 0.9294, Validation Accuracy: 0.9434, Loss: 0.0829
Epoch 19 Batch 17/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9415, Loss: 0.0683
Epoch 19 Batch 18/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9415, Loss: 0.0767
Epoch 19 Batch 19/269 - Train Accuracy: 0.9496, Validation Accuracy: 0.9385, Loss: 0.0707
Epoch 19 Batch 20/269 - Train Accuracy: 0.9390, Validation Accuracy: 0.9400, Loss: 0.0731
Epoch 19 Batch 21/269 - Train Accuracy: 0.9192, Validation Accuracy: 0.9436, Loss: 0.0843
Epoch 19 Batch 22/269 - Train Accuracy: 0.9436, Validation Accuracy: 0.9434, Loss: 0.0698
Epoch 19 Batch 23/269 - Train Accuracy: 0.9398, Validation Accuracy: 0.9448, Loss: 0.0800
Epoch 19 Batch 24/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9347, Loss: 0.0755
Epoch 19 Batch 25/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9282, Loss: 0.0875
Epoch 19 Batch 26/269 - Train Accuracy: 0.9301, Validation Accuracy: 0.9403, Loss: 0.0763
Epoch 19 Batch 27/269 - Train Accuracy: 0.9265, Validation Accuracy: 0.9462, Loss: 0.0664
Epoch 19 Batch 28/269 - Train Accuracy: 0.9269, Validation Accuracy: 0.9456, Loss: 0.0868
Epoch 19 Batch 29/269 - Train Accuracy: 0.9410, Validation Accuracy: 0.9404, Loss: 0.0783
Epoch 19 Batch 30/269 - Train Accuracy: 0.9364, Validation Accuracy: 0.9407, Loss: 0.0778
Epoch 19 Batch 31/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9388, Loss: 0.0693
Epoch 19 Batch 32/269 - Train Accuracy: 0.9437, Validation Accuracy: 0.9414, Loss: 0.0729
Epoch 19 Batch 33/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9456, Loss: 0.0677
Epoch 19 Batch 34/269 - Train Accuracy: 0.9406, Validation Accuracy: 0.9446, Loss: 0.0791
Epoch 19 Batch 35/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9436, Loss: 0.0839
Epoch 19 Batch 36/269 - Train Accuracy: 0.9279, Validation Accuracy: 0.9441, Loss: 0.0776
Epoch 19 Batch 37/269 - Train Accuracy: 0.9423, Validation Accuracy: 0.9395, Loss: 0.0751
Epoch 19 Batch 38/269 - Train Accuracy: 0.9368, Validation Accuracy: 0.9457, Loss: 0.0750
Epoch 19 Batch 39/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9465, Loss: 0.0773
Epoch 19 Batch 40/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9474, Loss: 0.0768
Epoch 19 Batch 41/269 - Train Accuracy: 0.9235, Validation Accuracy: 0.9461, Loss: 0.0781
Epoch 19 Batch 42/269 - Train Accuracy: 0.9474, Validation Accuracy: 0.9403, Loss: 0.0657
Epoch 19 Batch 43/269 - Train Accuracy: 0.9382, Validation Accuracy: 0.9357, Loss: 0.0753
Epoch 19 Batch 44/269 - Train Accuracy: 0.9303, Validation Accuracy: 0.9341, Loss: 0.0754
Epoch 19 Batch 45/269 - Train Accuracy: 0.9347, Validation Accuracy: 0.9363, Loss: 0.0763
Epoch 19 Batch 46/269 - Train Accuracy: 0.9390, Validation Accuracy: 0.9409, Loss: 0.0749
Epoch 19 Batch 47/269 - Train Accuracy: 0.9475, Validation Accuracy: 0.9433, Loss: 0.0664
Epoch 19 Batch 48/269 - Train Accuracy: 0.9433, Validation Accuracy: 0.9431, Loss: 0.0728
Epoch 19 Batch 49/269 - Train Accuracy: 0.9334, Validation Accuracy: 0.9385, Loss: 0.0697
Epoch 19 Batch 50/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9360, Loss: 0.0877
Epoch 19 Batch 51/269 - Train Accuracy: 0.9350, Validation Accuracy: 0.9419, Loss: 0.0775
Epoch 19 Batch 52/269 - Train Accuracy: 0.9182, Validation Accuracy: 0.9425, Loss: 0.0670
Epoch 19 Batch 53/269 - Train Accuracy: 0.9291, Validation Accuracy: 0.9422, Loss: 0.0790
Epoch 19 Batch 54/269 - Train Accuracy: 0.9462, Validation Accuracy: 0.9435, Loss: 0.0730
Epoch 19 Batch 55/269 - Train Accuracy: 0.9461, Validation Accuracy: 0.9432, Loss: 0.0728
Epoch 19 Batch 56/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9445, Loss: 0.0736
Epoch 19 Batch 57/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9426, Loss: 0.0831
Epoch 19 Batch 58/269 - Train Accuracy: 0.9345, Validation Accuracy: 0.9438, Loss: 0.0717
Epoch 19 Batch 59/269 - Train Accuracy: 0.9575, Validation Accuracy: 0.9408, Loss: 0.0629
Epoch 19 Batch 60/269 - Train Accuracy: 0.9367, Validation Accuracy: 0.9462, Loss: 0.0707
Epoch 19 Batch 61/269 - Train Accuracy: 0.9391, Validation Accuracy: 0.9434, Loss: 0.0661
Epoch 19 Batch 62/269 - Train Accuracy: 0.9311, Validation Accuracy: 0.9490, Loss: 0.0730
Epoch 19 Batch 63/269 - Train Accuracy: 0.9403, Validation Accuracy: 0.9439, Loss: 0.0830
Epoch 19 Batch 64/269 - Train Accuracy: 0.9433, Validation Accuracy: 0.9448, Loss: 0.0688
Epoch 19 Batch 65/269 - Train Accuracy: 0.9234, Validation Accuracy: 0.9406, Loss: 0.0759
Epoch 19 Batch 66/269 - Train Accuracy: 0.9239, Validation Accuracy: 0.9459, Loss: 0.0809
Epoch 19 Batch 67/269 - Train Accuracy: 0.9250, Validation Accuracy: 0.9442, Loss: 0.0843
Epoch 19 Batch 68/269 - Train Accuracy: 0.9300, Validation Accuracy: 0.9441, Loss: 0.0830
Epoch 19 Batch 69/269 - Train Accuracy: 0.9274, Validation Accuracy: 0.9387, Loss: 0.0902
Epoch 19 Batch 70/269 - Train Accuracy: 0.9448, Validation Accuracy: 0.9398, Loss: 0.0785
Epoch 19 Batch 71/269 - Train Accuracy: 0.9338, Validation Accuracy: 0.9413, Loss: 0.0809
Epoch 19 Batch 72/269 - Train Accuracy: 0.9319, Validation Accuracy: 0.9438, Loss: 0.0792
Epoch 19 Batch 73/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9399, Loss: 0.0840
Epoch 19 Batch 74/269 - Train Accuracy: 0.9381, Validation Accuracy: 0.9385, Loss: 0.0692
Epoch 19 Batch 75/269 - Train Accuracy: 0.9373, Validation Accuracy: 0.9442, Loss: 0.0769
Epoch 19 Batch 76/269 - Train Accuracy: 0.9322, Validation Accuracy: 0.9448, Loss: 0.0740
Epoch 19 Batch 77/269 - Train Accuracy: 0.9351, Validation Accuracy: 0.9479, Loss: 0.0725
Epoch 19 Batch 78/269 - Train Accuracy: 0.9468, Validation Accuracy: 0.9447, Loss: 0.0759
Epoch 19 Batch 79/269 - Train Accuracy: 0.9330, Validation Accuracy: 0.9461, Loss: 0.0712
Epoch 19 Batch 80/269 - Train Accuracy: 0.9417, Validation Accuracy: 0.9434, Loss: 0.0747
Epoch 19 Batch 81/269 - Train Accuracy: 0.9281, Validation Accuracy: 0.9466, Loss: 0.0835
Epoch 19 Batch 82/269 - Train Accuracy: 0.9474, Validation Accuracy: 0.9447, Loss: 0.0620
Epoch 19 Batch 83/269 - Train Accuracy: 0.9228, Validation Accuracy: 0.9444, Loss: 0.0831
Epoch 19 Batch 84/269 - Train Accuracy: 0.9391, Validation Accuracy: 0.9434, Loss: 0.0727
Epoch 19 Batch 85/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9410, Loss: 0.0727
Epoch 19 Batch 86/269 - Train Accuracy: 0.9289, Validation Accuracy: 0.9374, Loss: 0.0664
Epoch 19 Batch 87/269 - Train Accuracy: 0.9237, Validation Accuracy: 0.9357, Loss: 0.0765
Epoch 19 Batch 88/269 - Train Accuracy: 0.9218, Validation Accuracy: 0.9389, Loss: 0.0728
Epoch 19 Batch 89/269 - Train Accuracy: 0.9420, Validation Accuracy: 0.9442, Loss: 0.0751
Epoch 19 Batch 90/269 - Train Accuracy: 0.9456, Validation Accuracy: 0.9431, Loss: 0.0739
Epoch 19 Batch 91/269 - Train Accuracy: 0.9496, Validation Accuracy: 0.9442, Loss: 0.0698
Epoch 19 Batch 92/269 - Train Accuracy: 0.9459, Validation Accuracy: 0.9448, Loss: 0.0697
Epoch 19 Batch 93/269 - Train Accuracy: 0.9470, Validation Accuracy: 0.9422, Loss: 0.0703
Epoch 19 Batch 94/269 - Train Accuracy: 0.9273, Validation Accuracy: 0.9443, Loss: 0.0826
Epoch 19 Batch 95/269 - Train Accuracy: 0.9488, Validation Accuracy: 0.9466, Loss: 0.0663
Epoch 19 Batch 96/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9455, Loss: 0.0797
Epoch 19 Batch 97/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9468, Loss: 0.0821
Epoch 19 Batch 98/269 - Train Accuracy: 0.9430, Validation Accuracy: 0.9415, Loss: 0.0726
Epoch 19 Batch 99/269 - Train Accuracy: 0.9400, Validation Accuracy: 0.9367, Loss: 0.0698
Epoch 19 Batch 100/269 - Train Accuracy: 0.9410, Validation Accuracy: 0.9441, Loss: 0.0746
Epoch 19 Batch 101/269 - Train Accuracy: 0.9323, Validation Accuracy: 0.9447, Loss: 0.0844
Epoch 19 Batch 102/269 - Train Accuracy: 0.9406, Validation Accuracy: 0.9482, Loss: 0.0749
Epoch 19 Batch 103/269 - Train Accuracy: 0.9486, Validation Accuracy: 0.9502, Loss: 0.0789
Epoch 19 Batch 104/269 - Train Accuracy: 0.9418, Validation Accuracy: 0.9488, Loss: 0.0689
Epoch 19 Batch 105/269 - Train Accuracy: 0.9337, Validation Accuracy: 0.9466, Loss: 0.0771
Epoch 19 Batch 106/269 - Train Accuracy: 0.9504, Validation Accuracy: 0.9478, Loss: 0.0713
Epoch 19 Batch 107/269 - Train Accuracy: 0.9472, Validation Accuracy: 0.9438, Loss: 0.0744
Epoch 19 Batch 108/269 - Train Accuracy: 0.9515, Validation Accuracy: 0.9409, Loss: 0.0717
Epoch 19 Batch 109/269 - Train Accuracy: 0.9254, Validation Accuracy: 0.9460, Loss: 0.0747
Epoch 19 Batch 110/269 - Train Accuracy: 0.9359, Validation Accuracy: 0.9440, Loss: 0.0658
Epoch 19 Batch 111/269 - Train Accuracy: 0.9370, Validation Accuracy: 0.9432, Loss: 0.0794
Epoch 19 Batch 112/269 - Train Accuracy: 0.9364, Validation Accuracy: 0.9442, Loss: 0.0772
Epoch 19 Batch 113/269 - Train Accuracy: 0.9370, Validation Accuracy: 0.9433, Loss: 0.0738
Epoch 19 Batch 114/269 - Train Accuracy: 0.9379, Validation Accuracy: 0.9383, Loss: 0.0770
Epoch 19 Batch 115/269 - Train Accuracy: 0.9380, Validation Accuracy: 0.9403, Loss: 0.0732
Epoch 19 Batch 116/269 - Train Accuracy: 0.9345, Validation Accuracy: 0.9408, Loss: 0.0771
Epoch 19 Batch 117/269 - Train Accuracy: 0.9352, Validation Accuracy: 0.9447, Loss: 0.0677
Epoch 19 Batch 118/269 - Train Accuracy: 0.9458, Validation Accuracy: 0.9426, Loss: 0.0689
Epoch 19 Batch 119/269 - Train Accuracy: 0.9203, Validation Accuracy: 0.9432, Loss: 0.0797
Epoch 19 Batch 120/269 - Train Accuracy: 0.9326, Validation Accuracy: 0.9442, Loss: 0.0795
Epoch 19 Batch 121/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9417, Loss: 0.0676
Epoch 19 Batch 122/269 - Train Accuracy: 0.9462, Validation Accuracy: 0.9403, Loss: 0.0714
Epoch 19 Batch 123/269 - Train Accuracy: 0.9353, Validation Accuracy: 0.9368, Loss: 0.0754
Epoch 19 Batch 124/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9379, Loss: 0.0691
Epoch 19 Batch 125/269 - Train Accuracy: 0.9472, Validation Accuracy: 0.9403, Loss: 0.0686
Epoch 19 Batch 126/269 - Train Accuracy: 0.9213, Validation Accuracy: 0.9403, Loss: 0.0727
Epoch 19 Batch 127/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9450, Loss: 0.0821
Epoch 19 Batch 128/269 - Train Accuracy: 0.9383, Validation Accuracy: 0.9365, Loss: 0.0736
Epoch 19 Batch 129/269 - Train Accuracy: 0.9216, Validation Accuracy: 0.9367, Loss: 0.0761
Epoch 19 Batch 130/269 - Train Accuracy: 0.9500, Validation Accuracy: 0.9434, Loss: 0.0805
Epoch 19 Batch 131/269 - Train Accuracy: 0.9306, Validation Accuracy: 0.9421, Loss: 0.0769
Epoch 19 Batch 132/269 - Train Accuracy: 0.9168, Validation Accuracy: 0.9347, Loss: 0.0792
Epoch 19 Batch 133/269 - Train Accuracy: 0.9424, Validation Accuracy: 0.9324, Loss: 0.0673
Epoch 19 Batch 134/269 - Train Accuracy: 0.9269, Validation Accuracy: 0.9339, Loss: 0.0724
Epoch 19 Batch 135/269 - Train Accuracy: 0.9420, Validation Accuracy: 0.9388, Loss: 0.0814
Epoch 19 Batch 136/269 - Train Accuracy: 0.9104, Validation Accuracy: 0.9415, Loss: 0.0831
Epoch 19 Batch 137/269 - Train Accuracy: 0.9220, Validation Accuracy: 0.9397, Loss: 0.0853
Epoch 19 Batch 138/269 - Train Accuracy: 0.9352, Validation Accuracy: 0.9411, Loss: 0.0720
Epoch 19 Batch 139/269 - Train Accuracy: 0.9448, Validation Accuracy: 0.9428, Loss: 0.0677
Epoch 19 Batch 140/269 - Train Accuracy: 0.9346, Validation Accuracy: 0.9458, Loss: 0.0803
Epoch 19 Batch 141/269 - Train Accuracy: 0.9332, Validation Accuracy: 0.9420, Loss: 0.0844
Epoch 19 Batch 142/269 - Train Accuracy: 0.9324, Validation Accuracy: 0.9441, Loss: 0.0722
Epoch 19 Batch 143/269 - Train Accuracy: 0.9440, Validation Accuracy: 0.9420, Loss: 0.0678
Epoch 19 Batch 144/269 - Train Accuracy: 0.9521, Validation Accuracy: 0.9374, Loss: 0.0650
Epoch 19 Batch 145/269 - Train Accuracy: 0.9375, Validation Accuracy: 0.9418, Loss: 0.0705
Epoch 19 Batch 146/269 - Train Accuracy: 0.9365, Validation Accuracy: 0.9429, Loss: 0.0689
Epoch 19 Batch 147/269 - Train Accuracy: 0.9372, Validation Accuracy: 0.9472, Loss: 0.0800
Epoch 19 Batch 148/269 - Train Accuracy: 0.9408, Validation Accuracy: 0.9436, Loss: 0.0701
Epoch 19 Batch 149/269 - Train Accuracy: 0.9254, Validation Accuracy: 0.9458, Loss: 0.0843
Epoch 19 Batch 150/269 - Train Accuracy: 0.9426, Validation Accuracy: 0.9430, Loss: 0.0778
Epoch 19 Batch 151/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9385, Loss: 0.0702
Epoch 19 Batch 152/269 - Train Accuracy: 0.9365, Validation Accuracy: 0.9427, Loss: 0.0759
Epoch 19 Batch 153/269 - Train Accuracy: 0.9493, Validation Accuracy: 0.9476, Loss: 0.0720
Epoch 19 Batch 154/269 - Train Accuracy: 0.9458, Validation Accuracy: 0.9468, Loss: 0.0688
Epoch 19 Batch 155/269 - Train Accuracy: 0.9333, Validation Accuracy: 0.9447, Loss: 0.0698
Epoch 19 Batch 156/269 - Train Accuracy: 0.9354, Validation Accuracy: 0.9437, Loss: 0.0813
Epoch 19 Batch 157/269 - Train Accuracy: 0.9280, Validation Accuracy: 0.9427, Loss: 0.0683
Epoch 19 Batch 158/269 - Train Accuracy: 0.9305, Validation Accuracy: 0.9401, Loss: 0.0751
Epoch 19 Batch 159/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9459, Loss: 0.0760
Epoch 19 Batch 160/269 - Train Accuracy: 0.9361, Validation Accuracy: 0.9392, Loss: 0.0723
Epoch 19 Batch 161/269 - Train Accuracy: 0.9435, Validation Accuracy: 0.9396, Loss: 0.0687
Epoch 19 Batch 162/269 - Train Accuracy: 0.9408, Validation Accuracy: 0.9405, Loss: 0.0704
Epoch 19 Batch 163/269 - Train Accuracy: 0.9457, Validation Accuracy: 0.9329, Loss: 0.0715
Epoch 19 Batch 164/269 - Train Accuracy: 0.9405, Validation Accuracy: 0.9336, Loss: 0.0699
Epoch 19 Batch 165/269 - Train Accuracy: 0.9381, Validation Accuracy: 0.9398, Loss: 0.0743
Epoch 19 Batch 166/269 - Train Accuracy: 0.9453, Validation Accuracy: 0.9409, Loss: 0.0748
Epoch 19 Batch 167/269 - Train Accuracy: 0.9450, Validation Accuracy: 0.9450, Loss: 0.0674
Epoch 19 Batch 168/269 - Train Accuracy: 0.9442, Validation Accuracy: 0.9446, Loss: 0.0747
Epoch 19 Batch 169/269 - Train Accuracy: 0.9285, Validation Accuracy: 0.9437, Loss: 0.0711
Epoch 19 Batch 170/269 - Train Accuracy: 0.9318, Validation Accuracy: 0.9456, Loss: 0.0740
Epoch 19 Batch 171/269 - Train Accuracy: 0.9531, Validation Accuracy: 0.9467, Loss: 0.0736
Epoch 19 Batch 172/269 - Train Accuracy: 0.9344, Validation Accuracy: 0.9473, Loss: 0.0825
Epoch 19 Batch 173/269 - Train Accuracy: 0.9450, Validation Accuracy: 0.9422, Loss: 0.0642
Epoch 19 Batch 174/269 - Train Accuracy: 0.9515, Validation Accuracy: 0.9442, Loss: 0.0756
Epoch 19 Batch 175/269 - Train Accuracy: 0.9184, Validation Accuracy: 0.9447, Loss: 0.0840
Epoch 19 Batch 176/269 - Train Accuracy: 0.9224, Validation Accuracy: 0.9437, Loss: 0.0829
Epoch 19 Batch 177/269 - Train Accuracy: 0.9521, Validation Accuracy: 0.9450, Loss: 0.0690
Epoch 19 Batch 178/269 - Train Accuracy: 0.9390, Validation Accuracy: 0.9442, Loss: 0.0681
Epoch 19 Batch 179/269 - Train Accuracy: 0.9248, Validation Accuracy: 0.9446, Loss: 0.0728
Epoch 19 Batch 180/269 - Train Accuracy: 0.9408, Validation Accuracy: 0.9443, Loss: 0.0714
Epoch 19 Batch 181/269 - Train Accuracy: 0.9355, Validation Accuracy: 0.9474, Loss: 0.0813
Epoch 19 Batch 182/269 - Train Accuracy: 0.9338, Validation Accuracy: 0.9444, Loss: 0.0705
Epoch 19 Batch 183/269 - Train Accuracy: 0.9465, Validation Accuracy: 0.9497, Loss: 0.0616
Epoch 19 Batch 184/269 - Train Accuracy: 0.9409, Validation Accuracy: 0.9431, Loss: 0.0694
Epoch 19 Batch 185/269 - Train Accuracy: 0.9406, Validation Accuracy: 0.9437, Loss: 0.0682
Epoch 19 Batch 186/269 - Train Accuracy: 0.9393, Validation Accuracy: 0.9437, Loss: 0.0665
Epoch 19 Batch 187/269 - Train Accuracy: 0.9364, Validation Accuracy: 0.9450, Loss: 0.0715
Epoch 19 Batch 188/269 - Train Accuracy: 0.9380, Validation Accuracy: 0.9464, Loss: 0.0711
Epoch 19 Batch 189/269 - Train Accuracy: 0.9360, Validation Accuracy: 0.9466, Loss: 0.0654
Epoch 19 Batch 190/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9478, Loss: 0.0688
Epoch 19 Batch 191/269 - Train Accuracy: 0.9296, Validation Accuracy: 0.9444, Loss: 0.0684
Epoch 19 Batch 192/269 - Train Accuracy: 0.9432, Validation Accuracy: 0.9471, Loss: 0.0729
Epoch 19 Batch 193/269 - Train Accuracy: 0.9410, Validation Accuracy: 0.9468, Loss: 0.0693
Epoch 19 Batch 194/269 - Train Accuracy: 0.9253, Validation Accuracy: 0.9490, Loss: 0.0715
Epoch 19 Batch 195/269 - Train Accuracy: 0.9363, Validation Accuracy: 0.9452, Loss: 0.0700
Epoch 19 Batch 196/269 - Train Accuracy: 0.9336, Validation Accuracy: 0.9470, Loss: 0.0701
Epoch 19 Batch 197/269 - Train Accuracy: 0.9350, Validation Accuracy: 0.9458, Loss: 0.0736
Epoch 19 Batch 198/269 - Train Accuracy: 0.9441, Validation Accuracy: 0.9463, Loss: 0.0748
Epoch 19 Batch 199/269 - Train Accuracy: 0.9461, Validation Accuracy: 0.9376, Loss: 0.0711
Epoch 19 Batch 200/269 - Train Accuracy: 0.9348, Validation Accuracy: 0.9358, Loss: 0.0719
Epoch 19 Batch 201/269 - Train Accuracy: 0.9429, Validation Accuracy: 0.9436, Loss: 0.0722
Epoch 19 Batch 202/269 - Train Accuracy: 0.9314, Validation Accuracy: 0.9466, Loss: 0.0721
Epoch 19 Batch 203/269 - Train Accuracy: 0.9282, Validation Accuracy: 0.9508, Loss: 0.0812
Epoch 19 Batch 204/269 - Train Accuracy: 0.9428, Validation Accuracy: 0.9498, Loss: 0.0747
Epoch 19 Batch 205/269 - Train Accuracy: 0.9387, Validation Accuracy: 0.9513, Loss: 0.0722
Epoch 19 Batch 206/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9498, Loss: 0.0768
Epoch 19 Batch 207/269 - Train Accuracy: 0.9316, Validation Accuracy: 0.9518, Loss: 0.0697
Epoch 19 Batch 208/269 - Train Accuracy: 0.9357, Validation Accuracy: 0.9490, Loss: 0.0806
Epoch 19 Batch 209/269 - Train Accuracy: 0.9465, Validation Accuracy: 0.9457, Loss: 0.0633
Epoch 19 Batch 210/269 - Train Accuracy: 0.9427, Validation Accuracy: 0.9490, Loss: 0.0729
Epoch 19 Batch 211/269 - Train Accuracy: 0.9345, Validation Accuracy: 0.9458, Loss: 0.0783
Epoch 19 Batch 212/269 - Train Accuracy: 0.9381, Validation Accuracy: 0.9450, Loss: 0.0811
Epoch 19 Batch 213/269 - Train Accuracy: 0.9378, Validation Accuracy: 0.9431, Loss: 0.0674
Epoch 19 Batch 214/269 - Train Accuracy: 0.9400, Validation Accuracy: 0.9434, Loss: 0.0697
Epoch 19 Batch 215/269 - Train Accuracy: 0.9350, Validation Accuracy: 0.9417, Loss: 0.0699
Epoch 19 Batch 216/269 - Train Accuracy: 0.9362, Validation Accuracy: 0.9434, Loss: 0.0823
Epoch 19 Batch 217/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9479, Loss: 0.0767
Epoch 19 Batch 218/269 - Train Accuracy: 0.9487, Validation Accuracy: 0.9482, Loss: 0.0711
Epoch 19 Batch 219/269 - Train Accuracy: 0.9502, Validation Accuracy: 0.9486, Loss: 0.0750
Epoch 19 Batch 220/269 - Train Accuracy: 0.9409, Validation Accuracy: 0.9510, Loss: 0.0676
Epoch 19 Batch 221/269 - Train Accuracy: 0.9416, Validation Accuracy: 0.9455, Loss: 0.0759
Epoch 19 Batch 222/269 - Train Accuracy: 0.9483, Validation Accuracy: 0.9467, Loss: 0.0683
Epoch 19 Batch 223/269 - Train Accuracy: 0.9275, Validation Accuracy: 0.9454, Loss: 0.0715
Epoch 19 Batch 224/269 - Train Accuracy: 0.9392, Validation Accuracy: 0.9445, Loss: 0.0830
Epoch 19 Batch 225/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9462, Loss: 0.0620
Epoch 19 Batch 226/269 - Train Accuracy: 0.9430, Validation Accuracy: 0.9464, Loss: 0.0716
Epoch 19 Batch 227/269 - Train Accuracy: 0.9504, Validation Accuracy: 0.9474, Loss: 0.0840
Epoch 19 Batch 228/269 - Train Accuracy: 0.9430, Validation Accuracy: 0.9450, Loss: 0.0670
Epoch 19 Batch 229/269 - Train Accuracy: 0.9369, Validation Accuracy: 0.9441, Loss: 0.0677
Epoch 19 Batch 230/269 - Train Accuracy: 0.9395, Validation Accuracy: 0.9473, Loss: 0.0708
Epoch 19 Batch 231/269 - Train Accuracy: 0.9388, Validation Accuracy: 0.9490, Loss: 0.0735
Epoch 19 Batch 232/269 - Train Accuracy: 0.9399, Validation Accuracy: 0.9445, Loss: 0.0741
Epoch 19 Batch 233/269 - Train Accuracy: 0.9432, Validation Accuracy: 0.9440, Loss: 0.0745
Epoch 19 Batch 234/269 - Train Accuracy: 0.9432, Validation Accuracy: 0.9471, Loss: 0.0727
Epoch 19 Batch 235/269 - Train Accuracy: 0.9670, Validation Accuracy: 0.9532, Loss: 0.0581
Epoch 19 Batch 236/269 - Train Accuracy: 0.9339, Validation Accuracy: 0.9522, Loss: 0.0711
Epoch 19 Batch 237/269 - Train Accuracy: 0.9417, Validation Accuracy: 0.9497, Loss: 0.0655
Epoch 19 Batch 238/269 - Train Accuracy: 0.9497, Validation Accuracy: 0.9525, Loss: 0.0718
Epoch 19 Batch 239/269 - Train Accuracy: 0.9385, Validation Accuracy: 0.9395, Loss: 0.0690
Epoch 19 Batch 240/269 - Train Accuracy: 0.9487, Validation Accuracy: 0.9505, Loss: 0.0655
Epoch 19 Batch 241/269 - Train Accuracy: 0.9469, Validation Accuracy: 0.9512, Loss: 0.0788
Epoch 19 Batch 242/269 - Train Accuracy: 0.9564, Validation Accuracy: 0.9435, Loss: 0.0727
Epoch 19 Batch 243/269 - Train Accuracy: 0.9430, Validation Accuracy: 0.9417, Loss: 0.0685
Epoch 19 Batch 244/269 - Train Accuracy: 0.9443, Validation Accuracy: 0.9476, Loss: 0.0735
Epoch 19 Batch 245/269 - Train Accuracy: 0.9159, Validation Accuracy: 0.9462, Loss: 0.0736
Epoch 19 Batch 246/269 - Train Accuracy: 0.9396, Validation Accuracy: 0.9508, Loss: 0.0769
Epoch 19 Batch 247/269 - Train Accuracy: 0.9380, Validation Accuracy: 0.9522, Loss: 0.0683
Epoch 19 Batch 248/269 - Train Accuracy: 0.9496, Validation Accuracy: 0.9448, Loss: 0.0664
Epoch 19 Batch 249/269 - Train Accuracy: 0.9385, Validation Accuracy: 0.9440, Loss: 0.0643
Epoch 19 Batch 250/269 - Train Accuracy: 0.9446, Validation Accuracy: 0.9455, Loss: 0.0664
Epoch 19 Batch 251/269 - Train Accuracy: 0.9627, Validation Accuracy: 0.9458, Loss: 0.0707
Epoch 19 Batch 252/269 - Train Accuracy: 0.9431, Validation Accuracy: 0.9443, Loss: 0.0660
Epoch 19 Batch 253/269 - Train Accuracy: 0.9249, Validation Accuracy: 0.9422, Loss: 0.0738
Epoch 19 Batch 254/269 - Train Accuracy: 0.9387, Validation Accuracy: 0.9410, Loss: 0.0740
Epoch 19 Batch 255/269 - Train Accuracy: 0.9491, Validation Accuracy: 0.9399, Loss: 0.0733
Epoch 19 Batch 256/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9411, Loss: 0.0736
Epoch 19 Batch 257/269 - Train Accuracy: 0.9331, Validation Accuracy: 0.9371, Loss: 0.0772
Epoch 19 Batch 258/269 - Train Accuracy: 0.9386, Validation Accuracy: 0.9377, Loss: 0.0769
Epoch 19 Batch 259/269 - Train Accuracy: 0.9422, Validation Accuracy: 0.9496, Loss: 0.0689
Epoch 19 Batch 260/269 - Train Accuracy: 0.9371, Validation Accuracy: 0.9524, Loss: 0.0765
Epoch 19 Batch 261/269 - Train Accuracy: 0.9393, Validation Accuracy: 0.9502, Loss: 0.0726
Epoch 19 Batch 262/269 - Train Accuracy: 0.9382, Validation Accuracy: 0.9490, Loss: 0.0733
Epoch 19 Batch 263/269 - Train Accuracy: 0.9363, Validation Accuracy: 0.9485, Loss: 0.0752
Epoch 19 Batch 264/269 - Train Accuracy: 0.9257, Validation Accuracy: 0.9484, Loss: 0.0772
Epoch 19 Batch 265/269 - Train Accuracy: 0.9433, Validation Accuracy: 0.9465, Loss: 0.0692
Epoch 19 Batch 266/269 - Train Accuracy: 0.9312, Validation Accuracy: 0.9504, Loss: 0.0662
Epoch 19 Batch 267/269 - Train Accuracy: 0.9482, Validation Accuracy: 0.9510, Loss: 0.0777
Model Trained and Saved
In [18]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Save parameters for checkpoint
helper.save_params(save_path)
In [19]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import tensorflow as tf
import numpy as np
import helper
import problem_unittests as tests
_, (source_vocab_to_int, target_vocab_to_int), (source_int_to_vocab, target_int_to_vocab) = helper.load_preprocess()
load_path = helper.load_params()
To feed a sentence into the model for translation, you first need to preprocess it. Implement the function sentence_to_seq() to preprocess new sentences.
vocab_to_int<UNK> word id.
In [20]:
def sentence_to_seq(sentence, vocab_to_int):
"""
Convert a sentence to a sequence of ids
:param sentence: String
:param vocab_to_int: Dictionary to go from the words to an id
:return: List of word ids
"""
# TODO: Implement Function
ids = []
for word in sentence.split():
if word in vocab_to_int:
print(vocab_to_int[word])
ids.append(vocab_to_int[word])
else:
ids.append(vocab_to_int['<UNK>'])
return ids
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_sentence_to_seq(sentence_to_seq)
3
6
5
4
Tests Passed
In [25]:
translate_sentence = 'he saw a old yellow truck .'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
translate_sentence = sentence_to_seq(translate_sentence, source_vocab_to_int)
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
# Load saved model
loader = tf.train.import_meta_graph(load_path + '.meta')
loader.restore(sess, load_path)
input_data = loaded_graph.get_tensor_by_name('input:0')
logits = loaded_graph.get_tensor_by_name('predictions:0')
target_sequence_length = loaded_graph.get_tensor_by_name('target_sequence_length:0')
source_sequence_length = loaded_graph.get_tensor_by_name('source_sequence_length:0')
keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
translate_logits = sess.run(logits, {input_data: [translate_sentence]*batch_size,
target_sequence_length: [len(translate_sentence)*2]*batch_size,
source_sequence_length: [len(translate_sentence)]*batch_size,
keep_prob: 1.0})[0]
print('Input')
print(' Word Ids: {}'.format([i for i in translate_sentence]))
print(' English Words: {}'.format([source_int_to_vocab[i] for i in translate_sentence]))
print('\nPrediction')
print(' Word Ids: {}'.format([i for i in translate_logits]))
print(' French Words: {}'.format(" ".join([target_int_to_vocab[i] for i in translate_logits])))
35
9
8
77
215
158
181
INFO:tensorflow:Restoring parameters from checkpoints/dev
Input
Word Ids: [35, 9, 8, 77, 215, 158, 181]
English Words: ['he', 'saw', 'a', 'old', 'yellow', 'truck', '.']
Prediction
Word Ids: [306, 201, 109, 208, 255, 336, 51, 179, 1]
French Words: il a vu un vieux camion jaune . <EOS>
You might notice that some sentences translate better than others. Since the dataset you're using only has a vocabulary of 227 English words of the thousands that you use, you're only going to see good results using these words. For this project, you don't need a perfect translation. However, if you want to create a better translation model, you'll need better data.
You can train on the WMT10 French-English corpus. This dataset has more vocabulary and richer in topics discussed. However, this will take you days to train, so make sure you've a GPU and the neural network is performing well on dataset we provided. Just make sure you play with the WMT10 corpus after you've submitted this project.
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_language_translation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.
Content source: oscarmore2/deep-learning-study
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