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 [1]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
import problem_unittests as tests
source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
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()})))
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
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 each sentence from 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)
"""
source_id_text = [[source_vocab_to_int.get(word, source_vocab_to_int['<UNK>']) for word in sentence.split()] for sentence in source_text.split('\n')]
target_id_text = [[target_vocab_to_int.get(word, target_vocab_to_int['<UNK>']) for word in sentence.split()] + [target_vocab_to_int['<EOS>']] for sentence in target_text.split('\n')]
return (source_id_text, target_id_text)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_text_to_ids(text_to_ids)
Tests Passed
In [4]:
"""
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"""
helper.preprocess_and_save_data(source_path, target_path, text_to_ids)
In [5]:
"""
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"""
import numpy as np
import helper
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
In [6]:
"""
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"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) in [LooseVersion('1.0.0'), LooseVersion('1.0.1')], 'This project requires TensorFlow version 1.0 You are using {}'.format(tf.__version__)
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: 1.0.0
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_decoding_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, Learing Rate, Keep Probability)
In [7]:
def model_inputs():
"""
Create TF Placeholders for input, targets, and learning rate.
:return: Tuple (input, targets, learning rate, keep probability)
"""
input_ = tf.placeholder(tf.int32, [None, None], name="input")
targets = tf.placeholder(tf.int32, [None, None], name="targets")
learning_rate = tf.placeholder(tf.float32, None, name="lr")
keep_prob = tf.placeholder(tf.float32, None, name="keep_prob")
return (input_, targets, learning_rate, keep_prob)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
In [8]:
def process_decoding_input(target_data, target_vocab_to_int, batch_size):
"""
Preprocess target data for dencoding
: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
"""
ending = tf.strided_slice(target_data, [0, 0], [batch_size, -1], [1, 1])
dec_input = tf.concat([tf.fill([batch_size, 1], target_vocab_to_int['<GO>']), ending], 1)
return dec_input
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_process_decoding_input(process_decoding_input)
Tests Passed
Implement encoding_layer() to create a Encoder RNN layer using tf.nn.dynamic_rnn().
In [9]:
def encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob):
"""
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
:return: RNN state
"""
lstm = tf.contrib.rnn.BasicLSTMCell(rnn_size)
drop = tf.contrib.rnn.DropoutWrapper(lstm, output_keep_prob=keep_prob)
cell = tf.contrib.rnn.MultiRNNCell([drop]*num_layers)
RNN_output, RNN_state = tf.nn.dynamic_rnn(cell, rnn_inputs, dtype=tf.float32)
return RNN_state
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_encoding_layer(encoding_layer)
Tests Passed
Create training logits using tf.contrib.seq2seq.simple_decoder_fn_train() and tf.contrib.seq2seq.dynamic_rnn_decoder(). Apply the output_fn to the tf.contrib.seq2seq.dynamic_rnn_decoder() outputs.
In [10]:
def decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope,
output_fn, 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 sequence_length: Sequence Length
:param decoding_scope: TenorFlow Variable Scope for decoding
:param output_fn: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: Train Logits
"""
train_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_train(encoder_state)
train_pred, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(dec_cell, train_decoder_fn, dec_embed_input,
sequence_length, scope=decoding_scope)
train_pred_drop = tf.nn.dropout(train_pred, keep_prob)
train_logits = output_fn(train_pred_drop)
return train_logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_train(decoding_layer_train)
Tests Passed
Create inference logits using tf.contrib.seq2seq.simple_decoder_fn_inference() and tf.contrib.seq2seq.dynamic_rnn_decoder().
In [11]:
def decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id,
maximum_length, vocab_size, decoding_scope, output_fn, 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 maximum_length: The maximum allowed time steps to decode
:param vocab_size: Size of vocabulary
:param decoding_scope: TensorFlow Variable Scope for decoding
:param output_fn: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: Inference Logits
"""
infer_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_inference(output_fn, encoder_state, dec_embeddings,
start_of_sequence_id, end_of_sequence_id,
maximum_length, vocab_size)
inference_logits, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(dec_cell, infer_decoder_fn, scope=decoding_scope)
return inference_logits
"""
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.
rnn_size and num_layers.lambda to transform it's input, logits, to class logits.decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope, output_fn, 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, maximum_length, vocab_size, decoding_scope, output_fn, 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_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size,
num_layers, target_vocab_to_int, keep_prob):
"""
Create decoding layer
:param dec_embed_input: Decoder embedded input
:param dec_embeddings: Decoder embeddings
:param encoder_state: The encoded state
:param vocab_size: Size of vocabulary
:param sequence_length: Sequence Length
: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 keep_prob: Dropout keep probability
:return: Tuple of (Training Logits, Inference Logits)
"""
start_of_sequence_id = target_vocab_to_int['<GO>']
end_of_sequence_id = target_vocab_to_int['<EOS>']
lstm = tf.contrib.rnn.BasicLSTMCell(rnn_size)
cell = tf.contrib.rnn.MultiRNNCell([lstm]*num_layers)
with tf.variable_scope('decoding') as decoding_scope:
output_fn = lambda logits: tf.contrib.layers.fully_connected(logits, vocab_size, None, scope=decoding_scope)
train_logits = decoding_layer_train(encoder_state, cell, dec_embed_input, sequence_length,
decoding_scope, output_fn, keep_prob)
with tf.variable_scope('decoding', reuse=True) as infer_scope:
infer_logits = decoding_layer_infer(encoder_state, cell, dec_embeddings, start_of_sequence_id,
end_of_sequence_id, sequence_length, vocab_size, infer_scope,
output_fn, keep_prob)
return (train_logits, infer_logits)
"""
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).process_decoding_input(target_data, target_vocab_to_int, batch_size) function.decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob).
In [13]:
def seq2seq_model(input_data, target_data, keep_prob, batch_size, sequence_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 sequence_length: Sequence Length
: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 Logits, Inference Logits)
"""
# Encoder embedding
enc_embed_input = tf.contrib.layers.embed_sequence(input_data, source_vocab_size, enc_embedding_size)
# Encoding layer
encoder_state = encoding_layer(enc_embed_input, rnn_size, num_layers, keep_prob)
# Decoder embedding
dec_input = process_decoding_input(target_data, target_vocab_to_int, batch_size)
dec_embeddings = tf.Variable(tf.random_uniform([target_vocab_size, dec_embedding_size]))
dec_embed_input = tf.nn.embedding_lookup(dec_embeddings, dec_input)
# Decoding layer
train_logits, infer_logits = decoding_layer(dec_embed_input, dec_embeddings, encoder_state, target_vocab_size,
sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob)
return (train_logits, infer_logits)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_seq2seq_model(seq2seq_model)
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 probability
In [14]:
# Number of Epochs
epochs = 15
# 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 = 0.001
# Dropout Keep Probability
keep_probability = 0.7
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_source_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 = model_inputs()
sequence_length = tf.placeholder_with_default(max_source_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, 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)
tf.identity(inference_logits, 'logits')
with tf.name_scope("optimization"):
# Loss function
cost = tf.contrib.seq2seq.sequence_loss(
train_logits,
targets,
tf.ones([input_shape[0], sequence_length]))
# Optimizer
optimizer = tf.train.AdamOptimizer(lr)
# Gradient Clipping
gradients = optimizer.compute_gradients(cost)
capped_gradients = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gradients if grad is not None]
train_op = optimizer.apply_gradients(capped_gradients)
In [16]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import time
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]), (0,0)],
'constant')
return np.mean(np.equal(target, np.argmax(logits, 2)))
train_source = source_int_text[batch_size:]
train_target = target_int_text[batch_size:]
valid_source = helper.pad_sentence_batch(source_int_text[:batch_size])
valid_target = helper.pad_sentence_batch(target_int_text[:batch_size])
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) in enumerate(
helper.batch_data(train_source, train_target, batch_size)):
start_time = time.time()
_, loss = sess.run(
[train_op, cost],
{input_data: source_batch,
targets: target_batch,
lr: learning_rate,
sequence_length: target_batch.shape[1],
keep_prob: keep_probability})
batch_train_logits = sess.run(
inference_logits,
{input_data: source_batch, keep_prob: 1.0})
batch_valid_logits = sess.run(
inference_logits,
{input_data: valid_source, keep_prob: 1.0})
train_acc = get_accuracy(target_batch, batch_train_logits)
valid_acc = get_accuracy(np.array(valid_target), batch_valid_logits)
end_time = time.time()
print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.3f}, Validation Accuracy: {:>6.3f}, Loss: {:>6.3f}'
.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 0/269 - Train Accuracy: 0.243, Validation Accuracy: 0.311, Loss: 5.888
Epoch 0 Batch 1/269 - Train Accuracy: 0.233, Validation Accuracy: 0.310, Loss: 5.743
Epoch 0 Batch 2/269 - Train Accuracy: 0.266, Validation Accuracy: 0.310, Loss: 5.575
Epoch 0 Batch 3/269 - Train Accuracy: 0.244, Validation Accuracy: 0.310, Loss: 5.451
Epoch 0 Batch 4/269 - Train Accuracy: 0.232, Validation Accuracy: 0.310, Loss: 5.312
Epoch 0 Batch 5/269 - Train Accuracy: 0.233, Validation Accuracy: 0.310, Loss: 5.154
Epoch 0 Batch 6/269 - Train Accuracy: 0.282, Validation Accuracy: 0.313, Loss: 4.867
Epoch 0 Batch 7/269 - Train Accuracy: 0.288, Validation Accuracy: 0.322, Loss: 4.702
Epoch 0 Batch 8/269 - Train Accuracy: 0.254, Validation Accuracy: 0.322, Loss: 4.676
Epoch 0 Batch 9/269 - Train Accuracy: 0.297, Validation Accuracy: 0.338, Loss: 4.439
Epoch 0 Batch 10/269 - Train Accuracy: 0.267, Validation Accuracy: 0.341, Loss: 4.432
Epoch 0 Batch 11/269 - Train Accuracy: 0.306, Validation Accuracy: 0.341, Loss: 4.146
Epoch 0 Batch 12/269 - Train Accuracy: 0.279, Validation Accuracy: 0.342, Loss: 4.158
Epoch 0 Batch 13/269 - Train Accuracy: 0.343, Validation Accuracy: 0.342, Loss: 3.766
Epoch 0 Batch 14/269 - Train Accuracy: 0.304, Validation Accuracy: 0.342, Loss: 3.853
Epoch 0 Batch 15/269 - Train Accuracy: 0.296, Validation Accuracy: 0.343, Loss: 3.798
Epoch 0 Batch 16/269 - Train Accuracy: 0.312, Validation Accuracy: 0.343, Loss: 3.663
Epoch 0 Batch 17/269 - Train Accuracy: 0.302, Validation Accuracy: 0.343, Loss: 3.618
Epoch 0 Batch 18/269 - Train Accuracy: 0.271, Validation Accuracy: 0.343, Loss: 3.694
Epoch 0 Batch 19/269 - Train Accuracy: 0.341, Validation Accuracy: 0.343, Loss: 3.312
Epoch 0 Batch 20/269 - Train Accuracy: 0.275, Validation Accuracy: 0.343, Loss: 3.546
Epoch 0 Batch 21/269 - Train Accuracy: 0.277, Validation Accuracy: 0.343, Loss: 3.510
Epoch 0 Batch 22/269 - Train Accuracy: 0.315, Validation Accuracy: 0.343, Loss: 3.288
Epoch 0 Batch 23/269 - Train Accuracy: 0.344, Validation Accuracy: 0.362, Loss: 3.223
Epoch 0 Batch 24/269 - Train Accuracy: 0.323, Validation Accuracy: 0.386, Loss: 3.382
Epoch 0 Batch 25/269 - Train Accuracy: 0.338, Validation Accuracy: 0.397, Loss: 3.343
Epoch 0 Batch 26/269 - Train Accuracy: 0.382, Validation Accuracy: 0.382, Loss: 3.021
Epoch 0 Batch 27/269 - Train Accuracy: 0.355, Validation Accuracy: 0.386, Loss: 3.204
Epoch 0 Batch 28/269 - Train Accuracy: 0.300, Validation Accuracy: 0.376, Loss: 3.364
Epoch 0 Batch 29/269 - Train Accuracy: 0.309, Validation Accuracy: 0.374, Loss: 3.254
Epoch 0 Batch 30/269 - Train Accuracy: 0.338, Validation Accuracy: 0.375, Loss: 3.124
Epoch 0 Batch 31/269 - Train Accuracy: 0.349, Validation Accuracy: 0.376, Loss: 3.084
Epoch 0 Batch 32/269 - Train Accuracy: 0.355, Validation Accuracy: 0.391, Loss: 3.082
Epoch 0 Batch 33/269 - Train Accuracy: 0.367, Validation Accuracy: 0.394, Loss: 3.023
Epoch 0 Batch 34/269 - Train Accuracy: 0.358, Validation Accuracy: 0.387, Loss: 3.009
Epoch 0 Batch 35/269 - Train Accuracy: 0.354, Validation Accuracy: 0.384, Loss: 2.986
Epoch 0 Batch 36/269 - Train Accuracy: 0.359, Validation Accuracy: 0.389, Loss: 3.015
Epoch 0 Batch 37/269 - Train Accuracy: 0.380, Validation Accuracy: 0.404, Loss: 2.964
Epoch 0 Batch 38/269 - Train Accuracy: 0.373, Validation Accuracy: 0.405, Loss: 2.969
Epoch 0 Batch 39/269 - Train Accuracy: 0.363, Validation Accuracy: 0.394, Loss: 2.954
Epoch 0 Batch 40/269 - Train Accuracy: 0.326, Validation Accuracy: 0.388, Loss: 3.054
Epoch 0 Batch 41/269 - Train Accuracy: 0.361, Validation Accuracy: 0.393, Loss: 2.942
Epoch 0 Batch 42/269 - Train Accuracy: 0.406, Validation Accuracy: 0.406, Loss: 2.786
Epoch 0 Batch 43/269 - Train Accuracy: 0.356, Validation Accuracy: 0.407, Loss: 3.000
Epoch 0 Batch 44/269 - Train Accuracy: 0.390, Validation Accuracy: 0.410, Loss: 2.877
Epoch 0 Batch 45/269 - Train Accuracy: 0.348, Validation Accuracy: 0.408, Loss: 2.988
Epoch 0 Batch 46/269 - Train Accuracy: 0.343, Validation Accuracy: 0.413, Loss: 3.024
Epoch 0 Batch 47/269 - Train Accuracy: 0.423, Validation Accuracy: 0.424, Loss: 2.712
Epoch 0 Batch 48/269 - Train Accuracy: 0.399, Validation Accuracy: 0.424, Loss: 2.803
Epoch 0 Batch 49/269 - Train Accuracy: 0.372, Validation Accuracy: 0.427, Loss: 2.955
Epoch 0 Batch 50/269 - Train Accuracy: 0.376, Validation Accuracy: 0.428, Loss: 2.929
Epoch 0 Batch 51/269 - Train Accuracy: 0.395, Validation Accuracy: 0.429, Loss: 2.834
Epoch 0 Batch 52/269 - Train Accuracy: 0.408, Validation Accuracy: 0.432, Loss: 2.776
Epoch 0 Batch 53/269 - Train Accuracy: 0.381, Validation Accuracy: 0.436, Loss: 2.901
Epoch 0 Batch 54/269 - Train Accuracy: 0.381, Validation Accuracy: 0.434, Loss: 2.900
Epoch 0 Batch 55/269 - Train Accuracy: 0.405, Validation Accuracy: 0.435, Loss: 2.763
Epoch 0 Batch 56/269 - Train Accuracy: 0.415, Validation Accuracy: 0.440, Loss: 2.749
Epoch 0 Batch 57/269 - Train Accuracy: 0.418, Validation Accuracy: 0.444, Loss: 2.741
Epoch 0 Batch 58/269 - Train Accuracy: 0.417, Validation Accuracy: 0.442, Loss: 2.734
Epoch 0 Batch 59/269 - Train Accuracy: 0.412, Validation Accuracy: 0.440, Loss: 2.704
Epoch 0 Batch 60/269 - Train Accuracy: 0.424, Validation Accuracy: 0.440, Loss: 2.639
Epoch 0 Batch 61/269 - Train Accuracy: 0.441, Validation Accuracy: 0.440, Loss: 2.576
Epoch 0 Batch 62/269 - Train Accuracy: 0.439, Validation Accuracy: 0.442, Loss: 2.597
Epoch 0 Batch 63/269 - Train Accuracy: 0.414, Validation Accuracy: 0.442, Loss: 2.666
Epoch 0 Batch 64/269 - Train Accuracy: 0.412, Validation Accuracy: 0.443, Loss: 2.679
Epoch 0 Batch 65/269 - Train Accuracy: 0.424, Validation Accuracy: 0.447, Loss: 2.648
Epoch 0 Batch 66/269 - Train Accuracy: 0.440, Validation Accuracy: 0.449, Loss: 2.574
Epoch 0 Batch 67/269 - Train Accuracy: 0.418, Validation Accuracy: 0.448, Loss: 2.662
Epoch 0 Batch 68/269 - Train Accuracy: 0.419, Validation Accuracy: 0.449, Loss: 2.657
Epoch 0 Batch 69/269 - Train Accuracy: 0.390, Validation Accuracy: 0.448, Loss: 2.791
Epoch 0 Batch 70/269 - Train Accuracy: 0.431, Validation Accuracy: 0.450, Loss: 2.607
Epoch 0 Batch 71/269 - Train Accuracy: 0.400, Validation Accuracy: 0.453, Loss: 2.742
Epoch 0 Batch 72/269 - Train Accuracy: 0.448, Validation Accuracy: 0.454, Loss: 2.517
Epoch 0 Batch 73/269 - Train Accuracy: 0.429, Validation Accuracy: 0.453, Loss: 2.607
Epoch 0 Batch 74/269 - Train Accuracy: 0.409, Validation Accuracy: 0.454, Loss: 2.686
Epoch 0 Batch 75/269 - Train Accuracy: 0.431, Validation Accuracy: 0.456, Loss: 2.582
Epoch 0 Batch 76/269 - Train Accuracy: 0.418, Validation Accuracy: 0.458, Loss: 2.619
Epoch 0 Batch 77/269 - Train Accuracy: 0.438, Validation Accuracy: 0.459, Loss: 2.556
Epoch 0 Batch 78/269 - Train Accuracy: 0.432, Validation Accuracy: 0.460, Loss: 2.581
Epoch 0 Batch 79/269 - Train Accuracy: 0.431, Validation Accuracy: 0.460, Loss: 2.564
Epoch 0 Batch 80/269 - Train Accuracy: 0.444, Validation Accuracy: 0.463, Loss: 2.490
Epoch 0 Batch 81/269 - Train Accuracy: 0.440, Validation Accuracy: 0.463, Loss: 2.550
Epoch 0 Batch 82/269 - Train Accuracy: 0.445, Validation Accuracy: 0.463, Loss: 2.491
Epoch 0 Batch 83/269 - Train Accuracy: 0.436, Validation Accuracy: 0.456, Loss: 2.500
Epoch 0 Batch 84/269 - Train Accuracy: 0.413, Validation Accuracy: 0.442, Loss: 2.526
Epoch 0 Batch 85/269 - Train Accuracy: 0.427, Validation Accuracy: 0.460, Loss: 2.579
Epoch 0 Batch 86/269 - Train Accuracy: 0.449, Validation Accuracy: 0.473, Loss: 2.535
Epoch 0 Batch 87/269 - Train Accuracy: 0.389, Validation Accuracy: 0.461, Loss: 2.673
Epoch 0 Batch 88/269 - Train Accuracy: 0.460, Validation Accuracy: 0.475, Loss: 2.500
Epoch 0 Batch 89/269 - Train Accuracy: 0.451, Validation Accuracy: 0.467, Loss: 2.466
Epoch 0 Batch 90/269 - Train Accuracy: 0.413, Validation Accuracy: 0.477, Loss: 2.626
Epoch 0 Batch 91/269 - Train Accuracy: 0.446, Validation Accuracy: 0.472, Loss: 2.461
Epoch 0 Batch 92/269 - Train Accuracy: 0.447, Validation Accuracy: 0.473, Loss: 2.460
Epoch 0 Batch 93/269 - Train Accuracy: 0.471, Validation Accuracy: 0.474, Loss: 2.372
Epoch 0 Batch 94/269 - Train Accuracy: 0.446, Validation Accuracy: 0.473, Loss: 2.445
Epoch 0 Batch 95/269 - Train Accuracy: 0.450, Validation Accuracy: 0.475, Loss: 2.443
Epoch 0 Batch 96/269 - Train Accuracy: 0.450, Validation Accuracy: 0.476, Loss: 2.436
Epoch 0 Batch 97/269 - Train Accuracy: 0.451, Validation Accuracy: 0.478, Loss: 2.427
Epoch 0 Batch 98/269 - Train Accuracy: 0.468, Validation Accuracy: 0.481, Loss: 2.389
Epoch 0 Batch 99/269 - Train Accuracy: 0.428, Validation Accuracy: 0.481, Loss: 2.542
Epoch 0 Batch 100/269 - Train Accuracy: 0.472, Validation Accuracy: 0.478, Loss: 2.356
Epoch 0 Batch 101/269 - Train Accuracy: 0.426, Validation Accuracy: 0.482, Loss: 2.514
Epoch 0 Batch 102/269 - Train Accuracy: 0.454, Validation Accuracy: 0.480, Loss: 2.384
Epoch 0 Batch 103/269 - Train Accuracy: 0.452, Validation Accuracy: 0.477, Loss: 2.377
Epoch 0 Batch 104/269 - Train Accuracy: 0.457, Validation Accuracy: 0.484, Loss: 2.391
Epoch 0 Batch 105/269 - Train Accuracy: 0.451, Validation Accuracy: 0.481, Loss: 2.395
Epoch 0 Batch 106/269 - Train Accuracy: 0.456, Validation Accuracy: 0.486, Loss: 2.389
Epoch 0 Batch 107/269 - Train Accuracy: 0.418, Validation Accuracy: 0.484, Loss: 2.505
Epoch 0 Batch 108/269 - Train Accuracy: 0.455, Validation Accuracy: 0.487, Loss: 2.367
Epoch 0 Batch 109/269 - Train Accuracy: 0.456, Validation Accuracy: 0.490, Loss: 2.362
Epoch 0 Batch 110/269 - Train Accuracy: 0.452, Validation Accuracy: 0.484, Loss: 2.339
Epoch 0 Batch 111/269 - Train Accuracy: 0.434, Validation Accuracy: 0.487, Loss: 2.490
Epoch 0 Batch 112/269 - Train Accuracy: 0.456, Validation Accuracy: 0.486, Loss: 2.331
Epoch 0 Batch 113/269 - Train Accuracy: 0.486, Validation Accuracy: 0.488, Loss: 2.238
Epoch 0 Batch 114/269 - Train Accuracy: 0.460, Validation Accuracy: 0.490, Loss: 2.326
Epoch 0 Batch 115/269 - Train Accuracy: 0.435, Validation Accuracy: 0.488, Loss: 2.418
Epoch 0 Batch 116/269 - Train Accuracy: 0.459, Validation Accuracy: 0.481, Loss: 2.316
Epoch 0 Batch 117/269 - Train Accuracy: 0.439, Validation Accuracy: 0.476, Loss: 2.335
Epoch 0 Batch 118/269 - Train Accuracy: 0.481, Validation Accuracy: 0.486, Loss: 2.263
Epoch 0 Batch 119/269 - Train Accuracy: 0.450, Validation Accuracy: 0.492, Loss: 2.400
Epoch 0 Batch 120/269 - Train Accuracy: 0.432, Validation Accuracy: 0.489, Loss: 2.398
Epoch 0 Batch 121/269 - Train Accuracy: 0.457, Validation Accuracy: 0.482, Loss: 2.282
Epoch 0 Batch 122/269 - Train Accuracy: 0.472, Validation Accuracy: 0.492, Loss: 2.269
Epoch 0 Batch 123/269 - Train Accuracy: 0.443, Validation Accuracy: 0.496, Loss: 2.403
Epoch 0 Batch 124/269 - Train Accuracy: 0.473, Validation Accuracy: 0.496, Loss: 2.266
Epoch 0 Batch 125/269 - Train Accuracy: 0.459, Validation Accuracy: 0.489, Loss: 2.246
Epoch 0 Batch 126/269 - Train Accuracy: 0.473, Validation Accuracy: 0.494, Loss: 2.233
Epoch 0 Batch 127/269 - Train Accuracy: 0.442, Validation Accuracy: 0.494, Loss: 2.367
Epoch 0 Batch 128/269 - Train Accuracy: 0.486, Validation Accuracy: 0.502, Loss: 2.234
Epoch 0 Batch 129/269 - Train Accuracy: 0.473, Validation Accuracy: 0.501, Loss: 2.257
Epoch 0 Batch 130/269 - Train Accuracy: 0.433, Validation Accuracy: 0.496, Loss: 2.395
Epoch 0 Batch 131/269 - Train Accuracy: 0.455, Validation Accuracy: 0.497, Loss: 2.328
Epoch 0 Batch 132/269 - Train Accuracy: 0.467, Validation Accuracy: 0.498, Loss: 2.246
Epoch 0 Batch 133/269 - Train Accuracy: 0.475, Validation Accuracy: 0.500, Loss: 2.219
Epoch 0 Batch 134/269 - Train Accuracy: 0.450, Validation Accuracy: 0.502, Loss: 2.300
Epoch 0 Batch 135/269 - Train Accuracy: 0.444, Validation Accuracy: 0.502, Loss: 2.359
Epoch 0 Batch 136/269 - Train Accuracy: 0.447, Validation Accuracy: 0.502, Loss: 2.334
Epoch 0 Batch 137/269 - Train Accuracy: 0.457, Validation Accuracy: 0.504, Loss: 2.310
Epoch 0 Batch 138/269 - Train Accuracy: 0.463, Validation Accuracy: 0.502, Loss: 2.255
Epoch 0 Batch 139/269 - Train Accuracy: 0.476, Validation Accuracy: 0.497, Loss: 2.164
Epoch 0 Batch 140/269 - Train Accuracy: 0.486, Validation Accuracy: 0.502, Loss: 2.186
Epoch 0 Batch 141/269 - Train Accuracy: 0.462, Validation Accuracy: 0.500, Loss: 2.234
Epoch 0 Batch 142/269 - Train Accuracy: 0.484, Validation Accuracy: 0.505, Loss: 2.156
Epoch 0 Batch 143/269 - Train Accuracy: 0.481, Validation Accuracy: 0.504, Loss: 2.183
Epoch 0 Batch 144/269 - Train Accuracy: 0.473, Validation Accuracy: 0.498, Loss: 2.157
Epoch 0 Batch 145/269 - Train Accuracy: 0.471, Validation Accuracy: 0.496, Loss: 2.175
Epoch 0 Batch 146/269 - Train Accuracy: 0.473, Validation Accuracy: 0.494, Loss: 2.156
Epoch 0 Batch 147/269 - Train Accuracy: 0.504, Validation Accuracy: 0.500, Loss: 2.079
Epoch 0 Batch 148/269 - Train Accuracy: 0.467, Validation Accuracy: 0.502, Loss: 2.208
Epoch 0 Batch 149/269 - Train Accuracy: 0.468, Validation Accuracy: 0.494, Loss: 2.130
Epoch 0 Batch 150/269 - Train Accuracy: 0.476, Validation Accuracy: 0.490, Loss: 2.151
Epoch 0 Batch 151/269 - Train Accuracy: 0.494, Validation Accuracy: 0.495, Loss: 2.063
Epoch 0 Batch 152/269 - Train Accuracy: 0.475, Validation Accuracy: 0.506, Loss: 2.157
Epoch 0 Batch 153/269 - Train Accuracy: 0.485, Validation Accuracy: 0.505, Loss: 2.126
Epoch 0 Batch 154/269 - Train Accuracy: 0.439, Validation Accuracy: 0.499, Loss: 2.266
Epoch 0 Batch 155/269 - Train Accuracy: 0.513, Validation Accuracy: 0.507, Loss: 2.006
Epoch 0 Batch 156/269 - Train Accuracy: 0.467, Validation Accuracy: 0.507, Loss: 2.172
Epoch 0 Batch 157/269 - Train Accuracy: 0.472, Validation Accuracy: 0.502, Loss: 2.112
Epoch 0 Batch 158/269 - Train Accuracy: 0.484, Validation Accuracy: 0.509, Loss: 2.085
Epoch 0 Batch 159/269 - Train Accuracy: 0.486, Validation Accuracy: 0.508, Loss: 2.103
Epoch 0 Batch 160/269 - Train Accuracy: 0.473, Validation Accuracy: 0.499, Loss: 2.107
Epoch 0 Batch 161/269 - Train Accuracy: 0.469, Validation Accuracy: 0.501, Loss: 2.121
Epoch 0 Batch 162/269 - Train Accuracy: 0.475, Validation Accuracy: 0.501, Loss: 2.086
Epoch 0 Batch 163/269 - Train Accuracy: 0.478, Validation Accuracy: 0.504, Loss: 2.083
Epoch 0 Batch 164/269 - Train Accuracy: 0.482, Validation Accuracy: 0.501, Loss: 2.077
Epoch 0 Batch 165/269 - Train Accuracy: 0.421, Validation Accuracy: 0.486, Loss: 2.175
Epoch 0 Batch 166/269 - Train Accuracy: 0.507, Validation Accuracy: 0.504, Loss: 1.974
Epoch 0 Batch 167/269 - Train Accuracy: 0.479, Validation Accuracy: 0.505, Loss: 2.052
Epoch 0 Batch 168/269 - Train Accuracy: 0.460, Validation Accuracy: 0.495, Loss: 2.069
Epoch 0 Batch 169/269 - Train Accuracy: 0.472, Validation Accuracy: 0.506, Loss: 2.071
Epoch 0 Batch 170/269 - Train Accuracy: 0.482, Validation Accuracy: 0.507, Loss: 2.046
Epoch 0 Batch 171/269 - Train Accuracy: 0.448, Validation Accuracy: 0.501, Loss: 2.104
Epoch 0 Batch 172/269 - Train Accuracy: 0.480, Validation Accuracy: 0.506, Loss: 2.051
Epoch 0 Batch 173/269 - Train Accuracy: 0.478, Validation Accuracy: 0.506, Loss: 2.030
Epoch 0 Batch 174/269 - Train Accuracy: 0.464, Validation Accuracy: 0.500, Loss: 2.031
Epoch 0 Batch 175/269 - Train Accuracy: 0.479, Validation Accuracy: 0.506, Loss: 2.040
Epoch 0 Batch 176/269 - Train Accuracy: 0.454, Validation Accuracy: 0.505, Loss: 2.102
Epoch 0 Batch 177/269 - Train Accuracy: 0.490, Validation Accuracy: 0.503, Loss: 1.946
Epoch 0 Batch 178/269 - Train Accuracy: 0.462, Validation Accuracy: 0.508, Loss: 2.084
Epoch 0 Batch 179/269 - Train Accuracy: 0.484, Validation Accuracy: 0.508, Loss: 2.000
Epoch 0 Batch 180/269 - Train Accuracy: 0.475, Validation Accuracy: 0.505, Loss: 1.977
Epoch 0 Batch 181/269 - Train Accuracy: 0.477, Validation Accuracy: 0.506, Loss: 1.967
Epoch 0 Batch 182/269 - Train Accuracy: 0.485, Validation Accuracy: 0.512, Loss: 1.988
Epoch 0 Batch 183/269 - Train Accuracy: 0.549, Validation Accuracy: 0.508, Loss: 1.734
Epoch 0 Batch 184/269 - Train Accuracy: 0.458, Validation Accuracy: 0.505, Loss: 2.048
Epoch 0 Batch 185/269 - Train Accuracy: 0.489, Validation Accuracy: 0.507, Loss: 1.925
Epoch 0 Batch 186/269 - Train Accuracy: 0.446, Validation Accuracy: 0.502, Loss: 2.045
Epoch 0 Batch 187/269 - Train Accuracy: 0.484, Validation Accuracy: 0.506, Loss: 1.901
Epoch 0 Batch 188/269 - Train Accuracy: 0.491, Validation Accuracy: 0.504, Loss: 1.881
Epoch 0 Batch 189/269 - Train Accuracy: 0.481, Validation Accuracy: 0.503, Loss: 1.918
Epoch 0 Batch 190/269 - Train Accuracy: 0.487, Validation Accuracy: 0.506, Loss: 1.914
Epoch 0 Batch 191/269 - Train Accuracy: 0.477, Validation Accuracy: 0.502, Loss: 1.932
Epoch 0 Batch 192/269 - Train Accuracy: 0.479, Validation Accuracy: 0.509, Loss: 1.933
Epoch 0 Batch 193/269 - Train Accuracy: 0.474, Validation Accuracy: 0.503, Loss: 1.914
Epoch 0 Batch 194/269 - Train Accuracy: 0.471, Validation Accuracy: 0.496, Loss: 1.923
Epoch 0 Batch 195/269 - Train Accuracy: 0.470, Validation Accuracy: 0.504, Loss: 1.940
Epoch 0 Batch 196/269 - Train Accuracy: 0.465, Validation Accuracy: 0.496, Loss: 1.888
Epoch 0 Batch 197/269 - Train Accuracy: 0.444, Validation Accuracy: 0.500, Loss: 1.971
Epoch 0 Batch 198/269 - Train Accuracy: 0.453, Validation Accuracy: 0.506, Loss: 2.018
Epoch 0 Batch 199/269 - Train Accuracy: 0.473, Validation Accuracy: 0.505, Loss: 1.919
Epoch 0 Batch 200/269 - Train Accuracy: 0.455, Validation Accuracy: 0.501, Loss: 1.946
Epoch 0 Batch 201/269 - Train Accuracy: 0.475, Validation Accuracy: 0.502, Loss: 1.864
Epoch 0 Batch 202/269 - Train Accuracy: 0.458, Validation Accuracy: 0.493, Loss: 1.877
Epoch 0 Batch 203/269 - Train Accuracy: 0.455, Validation Accuracy: 0.501, Loss: 1.933
Epoch 0 Batch 204/269 - Train Accuracy: 0.439, Validation Accuracy: 0.492, Loss: 1.923
Epoch 0 Batch 205/269 - Train Accuracy: 0.456, Validation Accuracy: 0.494, Loss: 1.846
Epoch 0 Batch 206/269 - Train Accuracy: 0.441, Validation Accuracy: 0.496, Loss: 1.943
Epoch 0 Batch 207/269 - Train Accuracy: 0.494, Validation Accuracy: 0.504, Loss: 1.760
Epoch 0 Batch 208/269 - Train Accuracy: 0.441, Validation Accuracy: 0.500, Loss: 1.935
Epoch 0 Batch 209/269 - Train Accuracy: 0.452, Validation Accuracy: 0.503, Loss: 1.888
Epoch 0 Batch 210/269 - Train Accuracy: 0.475, Validation Accuracy: 0.501, Loss: 1.796
Epoch 0 Batch 211/269 - Train Accuracy: 0.478, Validation Accuracy: 0.503, Loss: 1.792
Epoch 0 Batch 212/269 - Train Accuracy: 0.496, Validation Accuracy: 0.505, Loss: 1.754
Epoch 0 Batch 213/269 - Train Accuracy: 0.485, Validation Accuracy: 0.509, Loss: 1.770
Epoch 0 Batch 214/269 - Train Accuracy: 0.481, Validation Accuracy: 0.504, Loss: 1.768
Epoch 0 Batch 215/269 - Train Accuracy: 0.515, Validation Accuracy: 0.508, Loss: 1.673
Epoch 0 Batch 216/269 - Train Accuracy: 0.448, Validation Accuracy: 0.507, Loss: 1.887
Epoch 0 Batch 217/269 - Train Accuracy: 0.445, Validation Accuracy: 0.500, Loss: 1.850
Epoch 0 Batch 218/269 - Train Accuracy: 0.469, Validation Accuracy: 0.511, Loss: 1.852
Epoch 0 Batch 219/269 - Train Accuracy: 0.451, Validation Accuracy: 0.495, Loss: 1.823
Epoch 0 Batch 220/269 - Train Accuracy: 0.504, Validation Accuracy: 0.514, Loss: 1.698
Epoch 0 Batch 221/269 - Train Accuracy: 0.497, Validation Accuracy: 0.508, Loss: 1.735
Epoch 0 Batch 222/269 - Train Accuracy: 0.492, Validation Accuracy: 0.504, Loss: 1.685
Epoch 0 Batch 223/269 - Train Accuracy: 0.491, Validation Accuracy: 0.510, Loss: 1.690
Epoch 0 Batch 224/269 - Train Accuracy: 0.480, Validation Accuracy: 0.497, Loss: 1.734
Epoch 0 Batch 225/269 - Train Accuracy: 0.449, Validation Accuracy: 0.498, Loss: 1.783
Epoch 0 Batch 226/269 - Train Accuracy: 0.475, Validation Accuracy: 0.502, Loss: 1.702
Epoch 0 Batch 227/269 - Train Accuracy: 0.547, Validation Accuracy: 0.496, Loss: 1.489
Epoch 0 Batch 228/269 - Train Accuracy: 0.469, Validation Accuracy: 0.503, Loss: 1.720
Epoch 0 Batch 229/269 - Train Accuracy: 0.494, Validation Accuracy: 0.516, Loss: 1.675
Epoch 0 Batch 230/269 - Train Accuracy: 0.467, Validation Accuracy: 0.502, Loss: 1.706
Epoch 0 Batch 231/269 - Train Accuracy: 0.454, Validation Accuracy: 0.509, Loss: 1.766
Epoch 0 Batch 232/269 - Train Accuracy: 0.437, Validation Accuracy: 0.507, Loss: 1.762
Epoch 0 Batch 233/269 - Train Accuracy: 0.467, Validation Accuracy: 0.498, Loss: 1.689
Epoch 0 Batch 234/269 - Train Accuracy: 0.481, Validation Accuracy: 0.512, Loss: 1.676
Epoch 0 Batch 235/269 - Train Accuracy: 0.485, Validation Accuracy: 0.508, Loss: 1.662
Epoch 0 Batch 236/269 - Train Accuracy: 0.485, Validation Accuracy: 0.513, Loss: 1.650
Epoch 0 Batch 237/269 - Train Accuracy: 0.481, Validation Accuracy: 0.508, Loss: 1.637
Epoch 0 Batch 238/269 - Train Accuracy: 0.482, Validation Accuracy: 0.503, Loss: 1.641
Epoch 0 Batch 239/269 - Train Accuracy: 0.491, Validation Accuracy: 0.513, Loss: 1.622
Epoch 0 Batch 240/269 - Train Accuracy: 0.522, Validation Accuracy: 0.509, Loss: 1.520
Epoch 0 Batch 241/269 - Train Accuracy: 0.490, Validation Accuracy: 0.507, Loss: 1.607
Epoch 0 Batch 242/269 - Train Accuracy: 0.471, Validation Accuracy: 0.507, Loss: 1.619
Epoch 0 Batch 243/269 - Train Accuracy: 0.488, Validation Accuracy: 0.498, Loss: 1.584
Epoch 0 Batch 244/269 - Train Accuracy: 0.499, Validation Accuracy: 0.527, Loss: 1.610
Epoch 0 Batch 245/269 - Train Accuracy: 0.448, Validation Accuracy: 0.499, Loss: 1.698
Epoch 0 Batch 246/269 - Train Accuracy: 0.495, Validation Accuracy: 0.527, Loss: 1.616
Epoch 0 Batch 247/269 - Train Accuracy: 0.471, Validation Accuracy: 0.514, Loss: 1.655
Epoch 0 Batch 248/269 - Train Accuracy: 0.469, Validation Accuracy: 0.503, Loss: 1.592
Epoch 0 Batch 249/269 - Train Accuracy: 0.524, Validation Accuracy: 0.520, Loss: 1.524
Epoch 0 Batch 250/269 - Train Accuracy: 0.468, Validation Accuracy: 0.502, Loss: 1.641
Epoch 0 Batch 251/269 - Train Accuracy: 0.480, Validation Accuracy: 0.502, Loss: 1.572
Epoch 0 Batch 252/269 - Train Accuracy: 0.480, Validation Accuracy: 0.520, Loss: 1.604
Epoch 0 Batch 253/269 - Train Accuracy: 0.471, Validation Accuracy: 0.499, Loss: 1.585
Epoch 0 Batch 254/269 - Train Accuracy: 0.482, Validation Accuracy: 0.513, Loss: 1.559
Epoch 0 Batch 255/269 - Train Accuracy: 0.526, Validation Accuracy: 0.520, Loss: 1.503
Epoch 0 Batch 256/269 - Train Accuracy: 0.447, Validation Accuracy: 0.493, Loss: 1.595
Epoch 0 Batch 257/269 - Train Accuracy: 0.487, Validation Accuracy: 0.521, Loss: 1.585
Epoch 0 Batch 258/269 - Train Accuracy: 0.476, Validation Accuracy: 0.513, Loss: 1.571
Epoch 0 Batch 259/269 - Train Accuracy: 0.467, Validation Accuracy: 0.492, Loss: 1.547
Epoch 0 Batch 260/269 - Train Accuracy: 0.475, Validation Accuracy: 0.521, Loss: 1.630
Epoch 0 Batch 261/269 - Train Accuracy: 0.441, Validation Accuracy: 0.511, Loss: 1.649
Epoch 0 Batch 262/269 - Train Accuracy: 0.474, Validation Accuracy: 0.499, Loss: 1.546
Epoch 0 Batch 263/269 - Train Accuracy: 0.483, Validation Accuracy: 0.526, Loss: 1.604
Epoch 0 Batch 264/269 - Train Accuracy: 0.475, Validation Accuracy: 0.525, Loss: 1.607
Epoch 0 Batch 265/269 - Train Accuracy: 0.445, Validation Accuracy: 0.496, Loss: 1.581
Epoch 0 Batch 266/269 - Train Accuracy: 0.479, Validation Accuracy: 0.505, Loss: 1.507
Epoch 0 Batch 267/269 - Train Accuracy: 0.481, Validation Accuracy: 0.518, Loss: 1.543
Epoch 1 Batch 0/269 - Train Accuracy: 0.456, Validation Accuracy: 0.503, Loss: 1.596
Epoch 1 Batch 1/269 - Train Accuracy: 0.448, Validation Accuracy: 0.506, Loss: 1.584
Epoch 1 Batch 2/269 - Train Accuracy: 0.475, Validation Accuracy: 0.514, Loss: 1.541
Epoch 1 Batch 3/269 - Train Accuracy: 0.450, Validation Accuracy: 0.502, Loss: 1.572
Epoch 1 Batch 4/269 - Train Accuracy: 0.443, Validation Accuracy: 0.506, Loss: 1.565
Epoch 1 Batch 5/269 - Train Accuracy: 0.461, Validation Accuracy: 0.524, Loss: 1.577
Epoch 1 Batch 6/269 - Train Accuracy: 0.485, Validation Accuracy: 0.504, Loss: 1.441
Epoch 1 Batch 7/269 - Train Accuracy: 0.483, Validation Accuracy: 0.502, Loss: 1.479
Epoch 1 Batch 8/269 - Train Accuracy: 0.459, Validation Accuracy: 0.512, Loss: 1.558
Epoch 1 Batch 9/269 - Train Accuracy: 0.461, Validation Accuracy: 0.509, Loss: 1.499
Epoch 1 Batch 10/269 - Train Accuracy: 0.449, Validation Accuracy: 0.505, Loss: 1.519
Epoch 1 Batch 11/269 - Train Accuracy: 0.465, Validation Accuracy: 0.500, Loss: 1.492
Epoch 1 Batch 12/269 - Train Accuracy: 0.444, Validation Accuracy: 0.497, Loss: 1.544
Epoch 1 Batch 13/269 - Train Accuracy: 0.502, Validation Accuracy: 0.499, Loss: 1.382
Epoch 1 Batch 14/269 - Train Accuracy: 0.467, Validation Accuracy: 0.508, Loss: 1.469
Epoch 1 Batch 15/269 - Train Accuracy: 0.461, Validation Accuracy: 0.506, Loss: 1.470
Epoch 1 Batch 16/269 - Train Accuracy: 0.478, Validation Accuracy: 0.499, Loss: 1.466
Epoch 1 Batch 17/269 - Train Accuracy: 0.467, Validation Accuracy: 0.500, Loss: 1.438
Epoch 1 Batch 18/269 - Train Accuracy: 0.453, Validation Accuracy: 0.503, Loss: 1.507
Epoch 1 Batch 19/269 - Train Accuracy: 0.503, Validation Accuracy: 0.507, Loss: 1.383
Epoch 1 Batch 20/269 - Train Accuracy: 0.464, Validation Accuracy: 0.511, Loss: 1.503
Epoch 1 Batch 21/269 - Train Accuracy: 0.465, Validation Accuracy: 0.515, Loss: 1.535
Epoch 1 Batch 22/269 - Train Accuracy: 0.492, Validation Accuracy: 0.515, Loss: 1.433
Epoch 1 Batch 23/269 - Train Accuracy: 0.506, Validation Accuracy: 0.517, Loss: 1.443
Epoch 1 Batch 24/269 - Train Accuracy: 0.458, Validation Accuracy: 0.513, Loss: 1.496
Epoch 1 Batch 25/269 - Train Accuracy: 0.446, Validation Accuracy: 0.505, Loss: 1.494
Epoch 1 Batch 26/269 - Train Accuracy: 0.509, Validation Accuracy: 0.513, Loss: 1.347
Epoch 1 Batch 27/269 - Train Accuracy: 0.482, Validation Accuracy: 0.513, Loss: 1.431
Epoch 1 Batch 28/269 - Train Accuracy: 0.433, Validation Accuracy: 0.509, Loss: 1.520
Epoch 1 Batch 29/269 - Train Accuracy: 0.462, Validation Accuracy: 0.513, Loss: 1.475
Epoch 1 Batch 30/269 - Train Accuracy: 0.489, Validation Accuracy: 0.517, Loss: 1.423
Epoch 1 Batch 31/269 - Train Accuracy: 0.497, Validation Accuracy: 0.513, Loss: 1.402
Epoch 1 Batch 32/269 - Train Accuracy: 0.496, Validation Accuracy: 0.531, Loss: 1.421
Epoch 1 Batch 33/269 - Train Accuracy: 0.495, Validation Accuracy: 0.521, Loss: 1.377
Epoch 1 Batch 34/269 - Train Accuracy: 0.490, Validation Accuracy: 0.520, Loss: 1.398
Epoch 1 Batch 35/269 - Train Accuracy: 0.505, Validation Accuracy: 0.526, Loss: 1.389
Epoch 1 Batch 36/269 - Train Accuracy: 0.473, Validation Accuracy: 0.506, Loss: 1.408
Epoch 1 Batch 37/269 - Train Accuracy: 0.486, Validation Accuracy: 0.504, Loss: 1.412
Epoch 1 Batch 38/269 - Train Accuracy: 0.495, Validation Accuracy: 0.530, Loss: 1.403
Epoch 1 Batch 39/269 - Train Accuracy: 0.470, Validation Accuracy: 0.503, Loss: 1.391
Epoch 1 Batch 40/269 - Train Accuracy: 0.462, Validation Accuracy: 0.515, Loss: 1.432
Epoch 1 Batch 41/269 - Train Accuracy: 0.495, Validation Accuracy: 0.523, Loss: 1.395
Epoch 1 Batch 42/269 - Train Accuracy: 0.497, Validation Accuracy: 0.504, Loss: 1.322
Epoch 1 Batch 43/269 - Train Accuracy: 0.463, Validation Accuracy: 0.503, Loss: 1.422
Epoch 1 Batch 44/269 - Train Accuracy: 0.495, Validation Accuracy: 0.519, Loss: 1.378
Epoch 1 Batch 45/269 - Train Accuracy: 0.445, Validation Accuracy: 0.501, Loss: 1.434
Epoch 1 Batch 46/269 - Train Accuracy: 0.453, Validation Accuracy: 0.511, Loss: 1.442
Epoch 1 Batch 47/269 - Train Accuracy: 0.492, Validation Accuracy: 0.500, Loss: 1.293
Epoch 1 Batch 48/269 - Train Accuracy: 0.467, Validation Accuracy: 0.500, Loss: 1.331
Epoch 1 Batch 49/269 - Train Accuracy: 0.473, Validation Accuracy: 0.520, Loss: 1.409
Epoch 1 Batch 50/269 - Train Accuracy: 0.445, Validation Accuracy: 0.497, Loss: 1.418
Epoch 1 Batch 51/269 - Train Accuracy: 0.465, Validation Accuracy: 0.501, Loss: 1.382
Epoch 1 Batch 52/269 - Train Accuracy: 0.477, Validation Accuracy: 0.511, Loss: 1.334
Epoch 1 Batch 53/269 - Train Accuracy: 0.444, Validation Accuracy: 0.505, Loss: 1.419
Epoch 1 Batch 54/269 - Train Accuracy: 0.467, Validation Accuracy: 0.511, Loss: 1.413
Epoch 1 Batch 55/269 - Train Accuracy: 0.484, Validation Accuracy: 0.520, Loss: 1.341
Epoch 1 Batch 56/269 - Train Accuracy: 0.486, Validation Accuracy: 0.508, Loss: 1.346
Epoch 1 Batch 57/269 - Train Accuracy: 0.493, Validation Accuracy: 0.513, Loss: 1.349
Epoch 1 Batch 58/269 - Train Accuracy: 0.501, Validation Accuracy: 0.521, Loss: 1.336
Epoch 1 Batch 59/269 - Train Accuracy: 0.489, Validation Accuracy: 0.512, Loss: 1.311
Epoch 1 Batch 60/269 - Train Accuracy: 0.507, Validation Accuracy: 0.533, Loss: 1.294
Epoch 1 Batch 61/269 - Train Accuracy: 0.499, Validation Accuracy: 0.503, Loss: 1.264
Epoch 1 Batch 62/269 - Train Accuracy: 0.500, Validation Accuracy: 0.512, Loss: 1.289
Epoch 1 Batch 63/269 - Train Accuracy: 0.495, Validation Accuracy: 0.529, Loss: 1.330
Epoch 1 Batch 64/269 - Train Accuracy: 0.471, Validation Accuracy: 0.504, Loss: 1.324
Epoch 1 Batch 65/269 - Train Accuracy: 0.510, Validation Accuracy: 0.521, Loss: 1.311
Epoch 1 Batch 66/269 - Train Accuracy: 0.509, Validation Accuracy: 0.526, Loss: 1.279
Epoch 1 Batch 67/269 - Train Accuracy: 0.475, Validation Accuracy: 0.517, Loss: 1.330
Epoch 1 Batch 68/269 - Train Accuracy: 0.515, Validation Accuracy: 0.545, Loss: 1.331
Epoch 1 Batch 69/269 - Train Accuracy: 0.453, Validation Accuracy: 0.513, Loss: 1.419
Epoch 1 Batch 70/269 - Train Accuracy: 0.504, Validation Accuracy: 0.520, Loss: 1.308
Epoch 1 Batch 71/269 - Train Accuracy: 0.471, Validation Accuracy: 0.525, Loss: 1.372
Epoch 1 Batch 72/269 - Train Accuracy: 0.499, Validation Accuracy: 0.512, Loss: 1.268
Epoch 1 Batch 73/269 - Train Accuracy: 0.478, Validation Accuracy: 0.520, Loss: 1.325
Epoch 1 Batch 74/269 - Train Accuracy: 0.486, Validation Accuracy: 0.526, Loss: 1.330
Epoch 1 Batch 75/269 - Train Accuracy: 0.471, Validation Accuracy: 0.510, Loss: 1.292
Epoch 1 Batch 76/269 - Train Accuracy: 0.474, Validation Accuracy: 0.520, Loss: 1.326
Epoch 1 Batch 77/269 - Train Accuracy: 0.503, Validation Accuracy: 0.524, Loss: 1.288
Epoch 1 Batch 78/269 - Train Accuracy: 0.498, Validation Accuracy: 0.528, Loss: 1.301
Epoch 1 Batch 79/269 - Train Accuracy: 0.488, Validation Accuracy: 0.522, Loss: 1.283
Epoch 1 Batch 80/269 - Train Accuracy: 0.491, Validation Accuracy: 0.507, Loss: 1.253
Epoch 1 Batch 81/269 - Train Accuracy: 0.495, Validation Accuracy: 0.527, Loss: 1.305
Epoch 1 Batch 82/269 - Train Accuracy: 0.514, Validation Accuracy: 0.530, Loss: 1.249
Epoch 1 Batch 83/269 - Train Accuracy: 0.495, Validation Accuracy: 0.515, Loss: 1.252
Epoch 1 Batch 84/269 - Train Accuracy: 0.509, Validation Accuracy: 0.534, Loss: 1.253
Epoch 1 Batch 85/269 - Train Accuracy: 0.496, Validation Accuracy: 0.521, Loss: 1.279
Epoch 1 Batch 86/269 - Train Accuracy: 0.490, Validation Accuracy: 0.536, Loss: 1.285
Epoch 1 Batch 87/269 - Train Accuracy: 0.459, Validation Accuracy: 0.529, Loss: 1.357
Epoch 1 Batch 88/269 - Train Accuracy: 0.493, Validation Accuracy: 0.509, Loss: 1.265
Epoch 1 Batch 89/269 - Train Accuracy: 0.511, Validation Accuracy: 0.531, Loss: 1.259
Epoch 1 Batch 90/269 - Train Accuracy: 0.431, Validation Accuracy: 0.506, Loss: 1.332
Epoch 1 Batch 91/269 - Train Accuracy: 0.481, Validation Accuracy: 0.512, Loss: 1.250
Epoch 1 Batch 92/269 - Train Accuracy: 0.487, Validation Accuracy: 0.512, Loss: 1.256
Epoch 1 Batch 93/269 - Train Accuracy: 0.503, Validation Accuracy: 0.516, Loss: 1.206
Epoch 1 Batch 94/269 - Train Accuracy: 0.481, Validation Accuracy: 0.505, Loss: 1.267
Epoch 1 Batch 95/269 - Train Accuracy: 0.501, Validation Accuracy: 0.528, Loss: 1.249
Epoch 1 Batch 96/269 - Train Accuracy: 0.486, Validation Accuracy: 0.519, Loss: 1.230
Epoch 1 Batch 97/269 - Train Accuracy: 0.489, Validation Accuracy: 0.525, Loss: 1.253
Epoch 1 Batch 98/269 - Train Accuracy: 0.509, Validation Accuracy: 0.519, Loss: 1.212
Epoch 1 Batch 99/269 - Train Accuracy: 0.492, Validation Accuracy: 0.530, Loss: 1.307
Epoch 1 Batch 100/269 - Train Accuracy: 0.508, Validation Accuracy: 0.524, Loss: 1.208
Epoch 1 Batch 101/269 - Train Accuracy: 0.455, Validation Accuracy: 0.515, Loss: 1.291
Epoch 1 Batch 102/269 - Train Accuracy: 0.509, Validation Accuracy: 0.539, Loss: 1.233
Epoch 1 Batch 103/269 - Train Accuracy: 0.481, Validation Accuracy: 0.508, Loss: 1.217
Epoch 1 Batch 104/269 - Train Accuracy: 0.501, Validation Accuracy: 0.541, Loss: 1.241
Epoch 1 Batch 105/269 - Train Accuracy: 0.502, Validation Accuracy: 0.534, Loss: 1.233
Epoch 1 Batch 106/269 - Train Accuracy: 0.502, Validation Accuracy: 0.538, Loss: 1.229
Epoch 1 Batch 107/269 - Train Accuracy: 0.454, Validation Accuracy: 0.522, Loss: 1.286
Epoch 1 Batch 108/269 - Train Accuracy: 0.509, Validation Accuracy: 0.533, Loss: 1.209
Epoch 1 Batch 109/269 - Train Accuracy: 0.494, Validation Accuracy: 0.532, Loss: 1.227
Epoch 1 Batch 110/269 - Train Accuracy: 0.513, Validation Accuracy: 0.543, Loss: 1.205
Epoch 1 Batch 111/269 - Train Accuracy: 0.461, Validation Accuracy: 0.524, Loss: 1.297
Epoch 1 Batch 112/269 - Train Accuracy: 0.503, Validation Accuracy: 0.521, Loss: 1.192
Epoch 1 Batch 113/269 - Train Accuracy: 0.525, Validation Accuracy: 0.535, Loss: 1.151
Epoch 1 Batch 114/269 - Train Accuracy: 0.486, Validation Accuracy: 0.525, Loss: 1.199
Epoch 1 Batch 115/269 - Train Accuracy: 0.478, Validation Accuracy: 0.528, Loss: 1.238
Epoch 1 Batch 116/269 - Train Accuracy: 0.514, Validation Accuracy: 0.528, Loss: 1.197
Epoch 1 Batch 117/269 - Train Accuracy: 0.499, Validation Accuracy: 0.531, Loss: 1.191
Epoch 1 Batch 118/269 - Train Accuracy: 0.530, Validation Accuracy: 0.536, Loss: 1.159
Epoch 1 Batch 119/269 - Train Accuracy: 0.502, Validation Accuracy: 0.545, Loss: 1.248
Epoch 1 Batch 120/269 - Train Accuracy: 0.484, Validation Accuracy: 0.533, Loss: 1.233
Epoch 1 Batch 121/269 - Train Accuracy: 0.502, Validation Accuracy: 0.537, Loss: 1.168
Epoch 1 Batch 122/269 - Train Accuracy: 0.524, Validation Accuracy: 0.548, Loss: 1.164
Epoch 1 Batch 123/269 - Train Accuracy: 0.491, Validation Accuracy: 0.544, Loss: 1.233
Epoch 1 Batch 124/269 - Train Accuracy: 0.503, Validation Accuracy: 0.535, Loss: 1.152
Epoch 1 Batch 125/269 - Train Accuracy: 0.514, Validation Accuracy: 0.541, Loss: 1.146
Epoch 1 Batch 126/269 - Train Accuracy: 0.522, Validation Accuracy: 0.543, Loss: 1.145
Epoch 1 Batch 127/269 - Train Accuracy: 0.482, Validation Accuracy: 0.533, Loss: 1.223
Epoch 1 Batch 128/269 - Train Accuracy: 0.516, Validation Accuracy: 0.533, Loss: 1.152
Epoch 1 Batch 129/269 - Train Accuracy: 0.507, Validation Accuracy: 0.532, Loss: 1.178
Epoch 1 Batch 130/269 - Train Accuracy: 0.480, Validation Accuracy: 0.530, Loss: 1.234
Epoch 1 Batch 131/269 - Train Accuracy: 0.483, Validation Accuracy: 0.530, Loss: 1.202
Epoch 1 Batch 132/269 - Train Accuracy: 0.517, Validation Accuracy: 0.541, Loss: 1.158
Epoch 1 Batch 133/269 - Train Accuracy: 0.506, Validation Accuracy: 0.538, Loss: 1.134
Epoch 1 Batch 134/269 - Train Accuracy: 0.476, Validation Accuracy: 0.539, Loss: 1.194
Epoch 1 Batch 135/269 - Train Accuracy: 0.484, Validation Accuracy: 0.542, Loss: 1.229
Epoch 1 Batch 136/269 - Train Accuracy: 0.484, Validation Accuracy: 0.538, Loss: 1.210
Epoch 1 Batch 137/269 - Train Accuracy: 0.507, Validation Accuracy: 0.541, Loss: 1.195
Epoch 1 Batch 138/269 - Train Accuracy: 0.501, Validation Accuracy: 0.543, Loss: 1.162
Epoch 1 Batch 139/269 - Train Accuracy: 0.515, Validation Accuracy: 0.529, Loss: 1.109
Epoch 1 Batch 140/269 - Train Accuracy: 0.517, Validation Accuracy: 0.542, Loss: 1.139
Epoch 1 Batch 141/269 - Train Accuracy: 0.517, Validation Accuracy: 0.548, Loss: 1.153
Epoch 1 Batch 142/269 - Train Accuracy: 0.527, Validation Accuracy: 0.543, Loss: 1.112
Epoch 1 Batch 143/269 - Train Accuracy: 0.522, Validation Accuracy: 0.545, Loss: 1.132
Epoch 1 Batch 144/269 - Train Accuracy: 0.520, Validation Accuracy: 0.542, Loss: 1.113
Epoch 1 Batch 145/269 - Train Accuracy: 0.508, Validation Accuracy: 0.541, Loss: 1.120
Epoch 1 Batch 146/269 - Train Accuracy: 0.512, Validation Accuracy: 0.541, Loss: 1.111
Epoch 1 Batch 147/269 - Train Accuracy: 0.544, Validation Accuracy: 0.543, Loss: 1.069
Epoch 1 Batch 148/269 - Train Accuracy: 0.516, Validation Accuracy: 0.550, Loss: 1.151
Epoch 1 Batch 149/269 - Train Accuracy: 0.519, Validation Accuracy: 0.535, Loss: 1.112
Epoch 1 Batch 150/269 - Train Accuracy: 0.513, Validation Accuracy: 0.540, Loss: 1.128
Epoch 1 Batch 151/269 - Train Accuracy: 0.554, Validation Accuracy: 0.549, Loss: 1.062
Epoch 1 Batch 152/269 - Train Accuracy: 0.488, Validation Accuracy: 0.518, Loss: 1.108
Epoch 1 Batch 153/269 - Train Accuracy: 0.521, Validation Accuracy: 0.543, Loss: 1.096
Epoch 1 Batch 154/269 - Train Accuracy: 0.494, Validation Accuracy: 0.544, Loss: 1.150
Epoch 1 Batch 155/269 - Train Accuracy: 0.523, Validation Accuracy: 0.518, Loss: 1.039
Epoch 1 Batch 156/269 - Train Accuracy: 0.517, Validation Accuracy: 0.549, Loss: 1.133
Epoch 1 Batch 157/269 - Train Accuracy: 0.529, Validation Accuracy: 0.554, Loss: 1.099
Epoch 1 Batch 158/269 - Train Accuracy: 0.511, Validation Accuracy: 0.528, Loss: 1.086
Epoch 1 Batch 159/269 - Train Accuracy: 0.530, Validation Accuracy: 0.545, Loss: 1.095
Epoch 1 Batch 160/269 - Train Accuracy: 0.521, Validation Accuracy: 0.540, Loss: 1.098
Epoch 1 Batch 161/269 - Train Accuracy: 0.502, Validation Accuracy: 0.532, Loss: 1.100
Epoch 1 Batch 162/269 - Train Accuracy: 0.518, Validation Accuracy: 0.545, Loss: 1.078
Epoch 1 Batch 163/269 - Train Accuracy: 0.531, Validation Accuracy: 0.547, Loss: 1.073
Epoch 1 Batch 164/269 - Train Accuracy: 0.538, Validation Accuracy: 0.556, Loss: 1.077
Epoch 1 Batch 165/269 - Train Accuracy: 0.505, Validation Accuracy: 0.546, Loss: 1.106
Epoch 1 Batch 166/269 - Train Accuracy: 0.549, Validation Accuracy: 0.545, Loss: 1.017
Epoch 1 Batch 167/269 - Train Accuracy: 0.537, Validation Accuracy: 0.554, Loss: 1.074
Epoch 1 Batch 168/269 - Train Accuracy: 0.522, Validation Accuracy: 0.550, Loss: 1.080
Epoch 1 Batch 169/269 - Train Accuracy: 0.512, Validation Accuracy: 0.530, Loss: 1.072
Epoch 1 Batch 170/269 - Train Accuracy: 0.528, Validation Accuracy: 0.547, Loss: 1.068
Epoch 1 Batch 171/269 - Train Accuracy: 0.526, Validation Accuracy: 0.555, Loss: 1.094
Epoch 1 Batch 172/269 - Train Accuracy: 0.519, Validation Accuracy: 0.536, Loss: 1.076
Epoch 1 Batch 173/269 - Train Accuracy: 0.519, Validation Accuracy: 0.543, Loss: 1.053
Epoch 1 Batch 174/269 - Train Accuracy: 0.538, Validation Accuracy: 0.557, Loss: 1.060
Epoch 1 Batch 175/269 - Train Accuracy: 0.532, Validation Accuracy: 0.545, Loss: 1.070
Epoch 1 Batch 176/269 - Train Accuracy: 0.502, Validation Accuracy: 0.541, Loss: 1.114
Epoch 1 Batch 177/269 - Train Accuracy: 0.546, Validation Accuracy: 0.553, Loss: 1.026
Epoch 1 Batch 178/269 - Train Accuracy: 0.512, Validation Accuracy: 0.547, Loss: 1.079
Epoch 1 Batch 179/269 - Train Accuracy: 0.526, Validation Accuracy: 0.537, Loss: 1.046
Epoch 1 Batch 180/269 - Train Accuracy: 0.525, Validation Accuracy: 0.539, Loss: 1.030
Epoch 1 Batch 181/269 - Train Accuracy: 0.517, Validation Accuracy: 0.538, Loss: 1.043
Epoch 1 Batch 182/269 - Train Accuracy: 0.538, Validation Accuracy: 0.556, Loss: 1.054
Epoch 1 Batch 183/269 - Train Accuracy: 0.611, Validation Accuracy: 0.558, Loss: 0.903
Epoch 1 Batch 184/269 - Train Accuracy: 0.526, Validation Accuracy: 0.557, Loss: 1.067
Epoch 1 Batch 185/269 - Train Accuracy: 0.546, Validation Accuracy: 0.555, Loss: 1.018
Epoch 1 Batch 186/269 - Train Accuracy: 0.510, Validation Accuracy: 0.554, Loss: 1.058
Epoch 1 Batch 187/269 - Train Accuracy: 0.546, Validation Accuracy: 0.554, Loss: 1.009
Epoch 1 Batch 188/269 - Train Accuracy: 0.543, Validation Accuracy: 0.547, Loss: 0.998
Epoch 1 Batch 189/269 - Train Accuracy: 0.541, Validation Accuracy: 0.552, Loss: 1.010
Epoch 1 Batch 190/269 - Train Accuracy: 0.541, Validation Accuracy: 0.562, Loss: 1.008
Epoch 1 Batch 191/269 - Train Accuracy: 0.535, Validation Accuracy: 0.558, Loss: 1.020
Epoch 1 Batch 192/269 - Train Accuracy: 0.544, Validation Accuracy: 0.560, Loss: 1.020
Epoch 1 Batch 193/269 - Train Accuracy: 0.544, Validation Accuracy: 0.553, Loss: 1.022
Epoch 1 Batch 194/269 - Train Accuracy: 0.550, Validation Accuracy: 0.553, Loss: 1.020
Epoch 1 Batch 195/269 - Train Accuracy: 0.520, Validation Accuracy: 0.546, Loss: 1.029
Epoch 1 Batch 196/269 - Train Accuracy: 0.522, Validation Accuracy: 0.540, Loss: 1.007
Epoch 1 Batch 197/269 - Train Accuracy: 0.489, Validation Accuracy: 0.535, Loss: 1.051
Epoch 1 Batch 198/269 - Train Accuracy: 0.505, Validation Accuracy: 0.551, Loss: 1.076
Epoch 1 Batch 199/269 - Train Accuracy: 0.521, Validation Accuracy: 0.560, Loss: 1.027
Epoch 1 Batch 200/269 - Train Accuracy: 0.517, Validation Accuracy: 0.555, Loss: 1.037
Epoch 1 Batch 201/269 - Train Accuracy: 0.533, Validation Accuracy: 0.557, Loss: 1.002
Epoch 1 Batch 202/269 - Train Accuracy: 0.534, Validation Accuracy: 0.561, Loss: 1.005
Epoch 1 Batch 203/269 - Train Accuracy: 0.515, Validation Accuracy: 0.560, Loss: 1.051
Epoch 1 Batch 204/269 - Train Accuracy: 0.509, Validation Accuracy: 0.549, Loss: 1.031
Epoch 1 Batch 205/269 - Train Accuracy: 0.521, Validation Accuracy: 0.551, Loss: 0.981
Epoch 1 Batch 206/269 - Train Accuracy: 0.512, Validation Accuracy: 0.559, Loss: 1.051
Epoch 1 Batch 207/269 - Train Accuracy: 0.559, Validation Accuracy: 0.555, Loss: 0.960
Epoch 1 Batch 208/269 - Train Accuracy: 0.506, Validation Accuracy: 0.549, Loss: 1.037
Epoch 1 Batch 209/269 - Train Accuracy: 0.520, Validation Accuracy: 0.557, Loss: 1.006
Epoch 1 Batch 210/269 - Train Accuracy: 0.554, Validation Accuracy: 0.556, Loss: 0.972
Epoch 1 Batch 211/269 - Train Accuracy: 0.542, Validation Accuracy: 0.550, Loss: 0.989
Epoch 1 Batch 212/269 - Train Accuracy: 0.554, Validation Accuracy: 0.546, Loss: 0.962
Epoch 1 Batch 213/269 - Train Accuracy: 0.548, Validation Accuracy: 0.557, Loss: 0.968
Epoch 1 Batch 214/269 - Train Accuracy: 0.552, Validation Accuracy: 0.556, Loss: 0.971
Epoch 1 Batch 215/269 - Train Accuracy: 0.564, Validation Accuracy: 0.558, Loss: 0.917
Epoch 1 Batch 216/269 - Train Accuracy: 0.512, Validation Accuracy: 0.561, Loss: 1.047
Epoch 1 Batch 217/269 - Train Accuracy: 0.515, Validation Accuracy: 0.560, Loss: 1.015
Epoch 1 Batch 218/269 - Train Accuracy: 0.535, Validation Accuracy: 0.555, Loss: 1.016
Epoch 1 Batch 219/269 - Train Accuracy: 0.516, Validation Accuracy: 0.541, Loss: 1.005
Epoch 1 Batch 220/269 - Train Accuracy: 0.536, Validation Accuracy: 0.537, Loss: 0.929
Epoch 1 Batch 221/269 - Train Accuracy: 0.541, Validation Accuracy: 0.540, Loss: 0.957
Epoch 1 Batch 222/269 - Train Accuracy: 0.541, Validation Accuracy: 0.554, Loss: 0.927
Epoch 1 Batch 223/269 - Train Accuracy: 0.548, Validation Accuracy: 0.559, Loss: 0.930
Epoch 1 Batch 224/269 - Train Accuracy: 0.547, Validation Accuracy: 0.560, Loss: 0.975
Epoch 1 Batch 225/269 - Train Accuracy: 0.527, Validation Accuracy: 0.559, Loss: 0.982
Epoch 1 Batch 226/269 - Train Accuracy: 0.533, Validation Accuracy: 0.556, Loss: 0.950
Epoch 1 Batch 227/269 - Train Accuracy: 0.596, Validation Accuracy: 0.552, Loss: 0.842
Epoch 1 Batch 228/269 - Train Accuracy: 0.529, Validation Accuracy: 0.558, Loss: 0.960
Epoch 1 Batch 229/269 - Train Accuracy: 0.541, Validation Accuracy: 0.558, Loss: 0.939
Epoch 1 Batch 230/269 - Train Accuracy: 0.535, Validation Accuracy: 0.559, Loss: 0.955
Epoch 1 Batch 231/269 - Train Accuracy: 0.517, Validation Accuracy: 0.559, Loss: 0.994
Epoch 1 Batch 232/269 - Train Accuracy: 0.512, Validation Accuracy: 0.560, Loss: 0.983
Epoch 1 Batch 233/269 - Train Accuracy: 0.544, Validation Accuracy: 0.559, Loss: 0.956
Epoch 1 Batch 234/269 - Train Accuracy: 0.538, Validation Accuracy: 0.555, Loss: 0.950
Epoch 1 Batch 235/269 - Train Accuracy: 0.544, Validation Accuracy: 0.557, Loss: 0.934
Epoch 1 Batch 236/269 - Train Accuracy: 0.531, Validation Accuracy: 0.557, Loss: 0.934
Epoch 1 Batch 237/269 - Train Accuracy: 0.539, Validation Accuracy: 0.558, Loss: 0.933
Epoch 1 Batch 238/269 - Train Accuracy: 0.550, Validation Accuracy: 0.559, Loss: 0.934
Epoch 1 Batch 239/269 - Train Accuracy: 0.558, Validation Accuracy: 0.557, Loss: 0.926
Epoch 1 Batch 240/269 - Train Accuracy: 0.572, Validation Accuracy: 0.557, Loss: 0.863
Epoch 1 Batch 241/269 - Train Accuracy: 0.540, Validation Accuracy: 0.560, Loss: 0.935
Epoch 1 Batch 242/269 - Train Accuracy: 0.534, Validation Accuracy: 0.563, Loss: 0.928
Epoch 1 Batch 243/269 - Train Accuracy: 0.567, Validation Accuracy: 0.559, Loss: 0.898
Epoch 1 Batch 244/269 - Train Accuracy: 0.541, Validation Accuracy: 0.560, Loss: 0.924
Epoch 1 Batch 245/269 - Train Accuracy: 0.526, Validation Accuracy: 0.559, Loss: 0.977
Epoch 1 Batch 246/269 - Train Accuracy: 0.539, Validation Accuracy: 0.559, Loss: 0.936
Epoch 1 Batch 247/269 - Train Accuracy: 0.533, Validation Accuracy: 0.559, Loss: 0.961
Epoch 1 Batch 248/269 - Train Accuracy: 0.532, Validation Accuracy: 0.560, Loss: 0.919
Epoch 1 Batch 249/269 - Train Accuracy: 0.568, Validation Accuracy: 0.557, Loss: 0.881
Epoch 1 Batch 250/269 - Train Accuracy: 0.524, Validation Accuracy: 0.558, Loss: 0.947
Epoch 1 Batch 251/269 - Train Accuracy: 0.554, Validation Accuracy: 0.560, Loss: 0.905
Epoch 1 Batch 252/269 - Train Accuracy: 0.533, Validation Accuracy: 0.559, Loss: 0.926
Epoch 1 Batch 253/269 - Train Accuracy: 0.539, Validation Accuracy: 0.557, Loss: 0.927
Epoch 1 Batch 254/269 - Train Accuracy: 0.547, Validation Accuracy: 0.561, Loss: 0.904
Epoch 1 Batch 255/269 - Train Accuracy: 0.570, Validation Accuracy: 0.560, Loss: 0.874
Epoch 1 Batch 256/269 - Train Accuracy: 0.520, Validation Accuracy: 0.563, Loss: 0.924
Epoch 1 Batch 257/269 - Train Accuracy: 0.527, Validation Accuracy: 0.560, Loss: 0.915
Epoch 1 Batch 258/269 - Train Accuracy: 0.526, Validation Accuracy: 0.561, Loss: 0.914
Epoch 1 Batch 259/269 - Train Accuracy: 0.558, Validation Accuracy: 0.561, Loss: 0.903
Epoch 1 Batch 260/269 - Train Accuracy: 0.539, Validation Accuracy: 0.559, Loss: 0.946
Epoch 1 Batch 261/269 - Train Accuracy: 0.501, Validation Accuracy: 0.559, Loss: 0.962
Epoch 1 Batch 262/269 - Train Accuracy: 0.549, Validation Accuracy: 0.560, Loss: 0.906
Epoch 1 Batch 263/269 - Train Accuracy: 0.535, Validation Accuracy: 0.559, Loss: 0.932
Epoch 1 Batch 264/269 - Train Accuracy: 0.521, Validation Accuracy: 0.560, Loss: 0.944
Epoch 1 Batch 265/269 - Train Accuracy: 0.525, Validation Accuracy: 0.560, Loss: 0.925
Epoch 1 Batch 266/269 - Train Accuracy: 0.551, Validation Accuracy: 0.561, Loss: 0.883
Epoch 1 Batch 267/269 - Train Accuracy: 0.534, Validation Accuracy: 0.561, Loss: 0.912
Epoch 2 Batch 0/269 - Train Accuracy: 0.529, Validation Accuracy: 0.561, Loss: 0.938
Epoch 2 Batch 1/269 - Train Accuracy: 0.515, Validation Accuracy: 0.563, Loss: 0.917
Epoch 2 Batch 2/269 - Train Accuracy: 0.518, Validation Accuracy: 0.559, Loss: 0.905
Epoch 2 Batch 3/269 - Train Accuracy: 0.529, Validation Accuracy: 0.555, Loss: 0.921
Epoch 2 Batch 4/269 - Train Accuracy: 0.523, Validation Accuracy: 0.560, Loss: 0.925
Epoch 2 Batch 5/269 - Train Accuracy: 0.528, Validation Accuracy: 0.565, Loss: 0.928
Epoch 2 Batch 6/269 - Train Accuracy: 0.555, Validation Accuracy: 0.566, Loss: 0.847
Epoch 2 Batch 7/269 - Train Accuracy: 0.548, Validation Accuracy: 0.568, Loss: 0.868
Epoch 2 Batch 8/269 - Train Accuracy: 0.525, Validation Accuracy: 0.567, Loss: 0.923
Epoch 2 Batch 9/269 - Train Accuracy: 0.538, Validation Accuracy: 0.561, Loss: 0.896
Epoch 2 Batch 10/269 - Train Accuracy: 0.529, Validation Accuracy: 0.560, Loss: 0.902
Epoch 2 Batch 11/269 - Train Accuracy: 0.537, Validation Accuracy: 0.562, Loss: 0.898
Epoch 2 Batch 12/269 - Train Accuracy: 0.509, Validation Accuracy: 0.563, Loss: 0.928
Epoch 2 Batch 13/269 - Train Accuracy: 0.567, Validation Accuracy: 0.563, Loss: 0.820
Epoch 2 Batch 14/269 - Train Accuracy: 0.544, Validation Accuracy: 0.566, Loss: 0.878
Epoch 2 Batch 15/269 - Train Accuracy: 0.534, Validation Accuracy: 0.564, Loss: 0.867
Epoch 2 Batch 16/269 - Train Accuracy: 0.562, Validation Accuracy: 0.564, Loss: 0.874
Epoch 2 Batch 17/269 - Train Accuracy: 0.541, Validation Accuracy: 0.563, Loss: 0.857
Epoch 2 Batch 18/269 - Train Accuracy: 0.533, Validation Accuracy: 0.567, Loss: 0.899
Epoch 2 Batch 19/269 - Train Accuracy: 0.579, Validation Accuracy: 0.572, Loss: 0.819
Epoch 2 Batch 20/269 - Train Accuracy: 0.539, Validation Accuracy: 0.562, Loss: 0.899
Epoch 2 Batch 21/269 - Train Accuracy: 0.536, Validation Accuracy: 0.569, Loss: 0.922
Epoch 2 Batch 22/269 - Train Accuracy: 0.561, Validation Accuracy: 0.574, Loss: 0.850
Epoch 2 Batch 23/269 - Train Accuracy: 0.560, Validation Accuracy: 0.572, Loss: 0.867
Epoch 2 Batch 24/269 - Train Accuracy: 0.536, Validation Accuracy: 0.568, Loss: 0.898
Epoch 2 Batch 25/269 - Train Accuracy: 0.526, Validation Accuracy: 0.566, Loss: 0.908
Epoch 2 Batch 26/269 - Train Accuracy: 0.579, Validation Accuracy: 0.565, Loss: 0.802
Epoch 2 Batch 27/269 - Train Accuracy: 0.545, Validation Accuracy: 0.569, Loss: 0.858
Epoch 2 Batch 28/269 - Train Accuracy: 0.525, Validation Accuracy: 0.575, Loss: 0.918
Epoch 2 Batch 29/269 - Train Accuracy: 0.534, Validation Accuracy: 0.569, Loss: 0.886
Epoch 2 Batch 30/269 - Train Accuracy: 0.557, Validation Accuracy: 0.571, Loss: 0.849
Epoch 2 Batch 31/269 - Train Accuracy: 0.569, Validation Accuracy: 0.574, Loss: 0.837
Epoch 2 Batch 32/269 - Train Accuracy: 0.556, Validation Accuracy: 0.567, Loss: 0.844
Epoch 2 Batch 33/269 - Train Accuracy: 0.559, Validation Accuracy: 0.565, Loss: 0.828
Epoch 2 Batch 34/269 - Train Accuracy: 0.561, Validation Accuracy: 0.566, Loss: 0.846
Epoch 2 Batch 35/269 - Train Accuracy: 0.576, Validation Accuracy: 0.564, Loss: 0.856
Epoch 2 Batch 36/269 - Train Accuracy: 0.553, Validation Accuracy: 0.563, Loss: 0.852
Epoch 2 Batch 37/269 - Train Accuracy: 0.558, Validation Accuracy: 0.571, Loss: 0.845
Epoch 2 Batch 38/269 - Train Accuracy: 0.553, Validation Accuracy: 0.570, Loss: 0.849
Epoch 2 Batch 39/269 - Train Accuracy: 0.561, Validation Accuracy: 0.565, Loss: 0.839
Epoch 2 Batch 40/269 - Train Accuracy: 0.543, Validation Accuracy: 0.567, Loss: 0.872
Epoch 2 Batch 41/269 - Train Accuracy: 0.560, Validation Accuracy: 0.575, Loss: 0.859
Epoch 2 Batch 42/269 - Train Accuracy: 0.580, Validation Accuracy: 0.573, Loss: 0.806
Epoch 2 Batch 43/269 - Train Accuracy: 0.544, Validation Accuracy: 0.572, Loss: 0.864
Epoch 2 Batch 44/269 - Train Accuracy: 0.566, Validation Accuracy: 0.569, Loss: 0.835
Epoch 2 Batch 45/269 - Train Accuracy: 0.535, Validation Accuracy: 0.572, Loss: 0.880
Epoch 2 Batch 46/269 - Train Accuracy: 0.542, Validation Accuracy: 0.565, Loss: 0.869
Epoch 2 Batch 47/269 - Train Accuracy: 0.586, Validation Accuracy: 0.565, Loss: 0.780
Epoch 2 Batch 48/269 - Train Accuracy: 0.556, Validation Accuracy: 0.577, Loss: 0.819
Epoch 2 Batch 49/269 - Train Accuracy: 0.540, Validation Accuracy: 0.576, Loss: 0.857
Epoch 2 Batch 50/269 - Train Accuracy: 0.551, Validation Accuracy: 0.565, Loss: 0.867
Epoch 2 Batch 51/269 - Train Accuracy: 0.545, Validation Accuracy: 0.564, Loss: 0.846
Epoch 2 Batch 52/269 - Train Accuracy: 0.553, Validation Accuracy: 0.573, Loss: 0.808
Epoch 2 Batch 53/269 - Train Accuracy: 0.541, Validation Accuracy: 0.563, Loss: 0.870
Epoch 2 Batch 54/269 - Train Accuracy: 0.543, Validation Accuracy: 0.564, Loss: 0.856
Epoch 2 Batch 55/269 - Train Accuracy: 0.564, Validation Accuracy: 0.568, Loss: 0.821
Epoch 2 Batch 56/269 - Train Accuracy: 0.574, Validation Accuracy: 0.575, Loss: 0.831
Epoch 2 Batch 57/269 - Train Accuracy: 0.566, Validation Accuracy: 0.571, Loss: 0.835
Epoch 2 Batch 58/269 - Train Accuracy: 0.568, Validation Accuracy: 0.569, Loss: 0.821
Epoch 2 Batch 59/269 - Train Accuracy: 0.577, Validation Accuracy: 0.579, Loss: 0.789
Epoch 2 Batch 60/269 - Train Accuracy: 0.568, Validation Accuracy: 0.574, Loss: 0.790
Epoch 2 Batch 61/269 - Train Accuracy: 0.586, Validation Accuracy: 0.572, Loss: 0.771
Epoch 2 Batch 62/269 - Train Accuracy: 0.578, Validation Accuracy: 0.570, Loss: 0.792
Epoch 2 Batch 63/269 - Train Accuracy: 0.559, Validation Accuracy: 0.576, Loss: 0.823
Epoch 2 Batch 64/269 - Train Accuracy: 0.554, Validation Accuracy: 0.583, Loss: 0.816
Epoch 2 Batch 65/269 - Train Accuracy: 0.566, Validation Accuracy: 0.583, Loss: 0.805
Epoch 2 Batch 66/269 - Train Accuracy: 0.573, Validation Accuracy: 0.578, Loss: 0.790
Epoch 2 Batch 67/269 - Train Accuracy: 0.558, Validation Accuracy: 0.582, Loss: 0.825
Epoch 2 Batch 68/269 - Train Accuracy: 0.549, Validation Accuracy: 0.583, Loss: 0.816
Epoch 2 Batch 69/269 - Train Accuracy: 0.544, Validation Accuracy: 0.576, Loss: 0.891
Epoch 2 Batch 70/269 - Train Accuracy: 0.576, Validation Accuracy: 0.576, Loss: 0.813
Epoch 2 Batch 71/269 - Train Accuracy: 0.553, Validation Accuracy: 0.584, Loss: 0.844
Epoch 2 Batch 72/269 - Train Accuracy: 0.579, Validation Accuracy: 0.581, Loss: 0.798
Epoch 2 Batch 73/269 - Train Accuracy: 0.551, Validation Accuracy: 0.574, Loss: 0.832
Epoch 2 Batch 74/269 - Train Accuracy: 0.565, Validation Accuracy: 0.582, Loss: 0.826
Epoch 2 Batch 75/269 - Train Accuracy: 0.564, Validation Accuracy: 0.581, Loss: 0.807
Epoch 2 Batch 76/269 - Train Accuracy: 0.547, Validation Accuracy: 0.586, Loss: 0.825
Epoch 2 Batch 77/269 - Train Accuracy: 0.584, Validation Accuracy: 0.585, Loss: 0.800
Epoch 2 Batch 78/269 - Train Accuracy: 0.568, Validation Accuracy: 0.585, Loss: 0.801
Epoch 2 Batch 79/269 - Train Accuracy: 0.573, Validation Accuracy: 0.584, Loss: 0.794
Epoch 2 Batch 80/269 - Train Accuracy: 0.588, Validation Accuracy: 0.586, Loss: 0.791
Epoch 2 Batch 81/269 - Train Accuracy: 0.569, Validation Accuracy: 0.584, Loss: 0.822
Epoch 2 Batch 82/269 - Train Accuracy: 0.578, Validation Accuracy: 0.582, Loss: 0.768
Epoch 2 Batch 83/269 - Train Accuracy: 0.572, Validation Accuracy: 0.582, Loss: 0.798
Epoch 2 Batch 84/269 - Train Accuracy: 0.576, Validation Accuracy: 0.585, Loss: 0.780
Epoch 2 Batch 85/269 - Train Accuracy: 0.566, Validation Accuracy: 0.585, Loss: 0.795
Epoch 2 Batch 86/269 - Train Accuracy: 0.548, Validation Accuracy: 0.587, Loss: 0.794
Epoch 2 Batch 87/269 - Train Accuracy: 0.540, Validation Accuracy: 0.582, Loss: 0.850
Epoch 2 Batch 88/269 - Train Accuracy: 0.562, Validation Accuracy: 0.585, Loss: 0.792
Epoch 2 Batch 89/269 - Train Accuracy: 0.583, Validation Accuracy: 0.584, Loss: 0.797
Epoch 2 Batch 90/269 - Train Accuracy: 0.536, Validation Accuracy: 0.581, Loss: 0.840
Epoch 2 Batch 91/269 - Train Accuracy: 0.569, Validation Accuracy: 0.586, Loss: 0.774
Epoch 2 Batch 92/269 - Train Accuracy: 0.578, Validation Accuracy: 0.586, Loss: 0.782
Epoch 2 Batch 93/269 - Train Accuracy: 0.594, Validation Accuracy: 0.586, Loss: 0.757
Epoch 2 Batch 94/269 - Train Accuracy: 0.575, Validation Accuracy: 0.587, Loss: 0.803
Epoch 2 Batch 95/269 - Train Accuracy: 0.577, Validation Accuracy: 0.587, Loss: 0.793
Epoch 2 Batch 96/269 - Train Accuracy: 0.572, Validation Accuracy: 0.580, Loss: 0.778
Epoch 2 Batch 97/269 - Train Accuracy: 0.556, Validation Accuracy: 0.575, Loss: 0.784
Epoch 2 Batch 98/269 - Train Accuracy: 0.584, Validation Accuracy: 0.581, Loss: 0.780
Epoch 2 Batch 99/269 - Train Accuracy: 0.550, Validation Accuracy: 0.576, Loss: 0.817
Epoch 2 Batch 100/269 - Train Accuracy: 0.588, Validation Accuracy: 0.577, Loss: 0.769
Epoch 2 Batch 101/269 - Train Accuracy: 0.545, Validation Accuracy: 0.591, Loss: 0.821
Epoch 2 Batch 102/269 - Train Accuracy: 0.563, Validation Accuracy: 0.586, Loss: 0.780
Epoch 2 Batch 103/269 - Train Accuracy: 0.574, Validation Accuracy: 0.588, Loss: 0.777
Epoch 2 Batch 104/269 - Train Accuracy: 0.571, Validation Accuracy: 0.593, Loss: 0.775
Epoch 2 Batch 105/269 - Train Accuracy: 0.577, Validation Accuracy: 0.590, Loss: 0.790
Epoch 2 Batch 106/269 - Train Accuracy: 0.577, Validation Accuracy: 0.590, Loss: 0.776
Epoch 2 Batch 107/269 - Train Accuracy: 0.550, Validation Accuracy: 0.593, Loss: 0.820
Epoch 2 Batch 108/269 - Train Accuracy: 0.574, Validation Accuracy: 0.592, Loss: 0.773
Epoch 2 Batch 109/269 - Train Accuracy: 0.563, Validation Accuracy: 0.593, Loss: 0.779
Epoch 2 Batch 110/269 - Train Accuracy: 0.573, Validation Accuracy: 0.592, Loss: 0.764
Epoch 2 Batch 111/269 - Train Accuracy: 0.551, Validation Accuracy: 0.588, Loss: 0.829
Epoch 2 Batch 112/269 - Train Accuracy: 0.585, Validation Accuracy: 0.588, Loss: 0.774
Epoch 2 Batch 113/269 - Train Accuracy: 0.592, Validation Accuracy: 0.591, Loss: 0.745
Epoch 2 Batch 114/269 - Train Accuracy: 0.569, Validation Accuracy: 0.586, Loss: 0.772
Epoch 2 Batch 115/269 - Train Accuracy: 0.565, Validation Accuracy: 0.585, Loss: 0.796
Epoch 2 Batch 116/269 - Train Accuracy: 0.578, Validation Accuracy: 0.585, Loss: 0.776
Epoch 2 Batch 117/269 - Train Accuracy: 0.569, Validation Accuracy: 0.583, Loss: 0.764
Epoch 2 Batch 118/269 - Train Accuracy: 0.602, Validation Accuracy: 0.585, Loss: 0.749
Epoch 2 Batch 119/269 - Train Accuracy: 0.562, Validation Accuracy: 0.589, Loss: 0.808
Epoch 2 Batch 120/269 - Train Accuracy: 0.568, Validation Accuracy: 0.585, Loss: 0.790
Epoch 2 Batch 121/269 - Train Accuracy: 0.583, Validation Accuracy: 0.590, Loss: 0.754
Epoch 2 Batch 122/269 - Train Accuracy: 0.587, Validation Accuracy: 0.592, Loss: 0.755
Epoch 2 Batch 123/269 - Train Accuracy: 0.567, Validation Accuracy: 0.593, Loss: 0.795
Epoch 2 Batch 124/269 - Train Accuracy: 0.576, Validation Accuracy: 0.591, Loss: 0.746
Epoch 2 Batch 125/269 - Train Accuracy: 0.590, Validation Accuracy: 0.595, Loss: 0.745
Epoch 2 Batch 126/269 - Train Accuracy: 0.598, Validation Accuracy: 0.594, Loss: 0.742
Epoch 2 Batch 127/269 - Train Accuracy: 0.569, Validation Accuracy: 0.592, Loss: 0.789
Epoch 2 Batch 128/269 - Train Accuracy: 0.589, Validation Accuracy: 0.588, Loss: 0.760
Epoch 2 Batch 129/269 - Train Accuracy: 0.569, Validation Accuracy: 0.585, Loss: 0.766
Epoch 2 Batch 130/269 - Train Accuracy: 0.553, Validation Accuracy: 0.592, Loss: 0.795
Epoch 2 Batch 131/269 - Train Accuracy: 0.571, Validation Accuracy: 0.594, Loss: 0.783
Epoch 2 Batch 132/269 - Train Accuracy: 0.575, Validation Accuracy: 0.597, Loss: 0.767
Epoch 2 Batch 133/269 - Train Accuracy: 0.590, Validation Accuracy: 0.598, Loss: 0.735
Epoch 2 Batch 134/269 - Train Accuracy: 0.561, Validation Accuracy: 0.599, Loss: 0.778
Epoch 2 Batch 135/269 - Train Accuracy: 0.564, Validation Accuracy: 0.597, Loss: 0.807
Epoch 2 Batch 136/269 - Train Accuracy: 0.558, Validation Accuracy: 0.595, Loss: 0.800
Epoch 2 Batch 137/269 - Train Accuracy: 0.580, Validation Accuracy: 0.596, Loss: 0.791
Epoch 2 Batch 138/269 - Train Accuracy: 0.576, Validation Accuracy: 0.598, Loss: 0.772
Epoch 2 Batch 139/269 - Train Accuracy: 0.608, Validation Accuracy: 0.600, Loss: 0.730
Epoch 2 Batch 140/269 - Train Accuracy: 0.595, Validation Accuracy: 0.598, Loss: 0.763
Epoch 2 Batch 141/269 - Train Accuracy: 0.585, Validation Accuracy: 0.602, Loss: 0.762
Epoch 2 Batch 142/269 - Train Accuracy: 0.589, Validation Accuracy: 0.603, Loss: 0.731
Epoch 2 Batch 143/269 - Train Accuracy: 0.596, Validation Accuracy: 0.603, Loss: 0.749
Epoch 2 Batch 144/269 - Train Accuracy: 0.593, Validation Accuracy: 0.601, Loss: 0.726
Epoch 2 Batch 145/269 - Train Accuracy: 0.593, Validation Accuracy: 0.599, Loss: 0.738
Epoch 2 Batch 146/269 - Train Accuracy: 0.586, Validation Accuracy: 0.602, Loss: 0.732
Epoch 2 Batch 147/269 - Train Accuracy: 0.612, Validation Accuracy: 0.598, Loss: 0.709
Epoch 2 Batch 148/269 - Train Accuracy: 0.585, Validation Accuracy: 0.596, Loss: 0.752
Epoch 2 Batch 149/269 - Train Accuracy: 0.595, Validation Accuracy: 0.596, Loss: 0.747
Epoch 2 Batch 150/269 - Train Accuracy: 0.591, Validation Accuracy: 0.594, Loss: 0.749
Epoch 2 Batch 151/269 - Train Accuracy: 0.624, Validation Accuracy: 0.600, Loss: 0.712
Epoch 2 Batch 152/269 - Train Accuracy: 0.590, Validation Accuracy: 0.603, Loss: 0.745
Epoch 2 Batch 153/269 - Train Accuracy: 0.592, Validation Accuracy: 0.599, Loss: 0.736
Epoch 2 Batch 154/269 - Train Accuracy: 0.583, Validation Accuracy: 0.609, Loss: 0.757
Epoch 2 Batch 155/269 - Train Accuracy: 0.620, Validation Accuracy: 0.611, Loss: 0.699
Epoch 2 Batch 156/269 - Train Accuracy: 0.575, Validation Accuracy: 0.606, Loss: 0.772
Epoch 2 Batch 157/269 - Train Accuracy: 0.589, Validation Accuracy: 0.608, Loss: 0.739
Epoch 2 Batch 158/269 - Train Accuracy: 0.596, Validation Accuracy: 0.605, Loss: 0.735
Epoch 2 Batch 159/269 - Train Accuracy: 0.596, Validation Accuracy: 0.602, Loss: 0.738
Epoch 2 Batch 160/269 - Train Accuracy: 0.600, Validation Accuracy: 0.601, Loss: 0.733
Epoch 2 Batch 161/269 - Train Accuracy: 0.593, Validation Accuracy: 0.599, Loss: 0.735
Epoch 2 Batch 162/269 - Train Accuracy: 0.589, Validation Accuracy: 0.599, Loss: 0.731
Epoch 2 Batch 163/269 - Train Accuracy: 0.605, Validation Accuracy: 0.601, Loss: 0.723
Epoch 2 Batch 164/269 - Train Accuracy: 0.600, Validation Accuracy: 0.599, Loss: 0.722
Epoch 2 Batch 165/269 - Train Accuracy: 0.571, Validation Accuracy: 0.603, Loss: 0.749
Epoch 2 Batch 166/269 - Train Accuracy: 0.617, Validation Accuracy: 0.599, Loss: 0.692
Epoch 2 Batch 167/269 - Train Accuracy: 0.599, Validation Accuracy: 0.598, Loss: 0.730
Epoch 2 Batch 168/269 - Train Accuracy: 0.586, Validation Accuracy: 0.602, Loss: 0.734
Epoch 2 Batch 169/269 - Train Accuracy: 0.585, Validation Accuracy: 0.595, Loss: 0.732
Epoch 2 Batch 170/269 - Train Accuracy: 0.595, Validation Accuracy: 0.594, Loss: 0.717
Epoch 2 Batch 171/269 - Train Accuracy: 0.576, Validation Accuracy: 0.590, Loss: 0.750
Epoch 2 Batch 172/269 - Train Accuracy: 0.596, Validation Accuracy: 0.590, Loss: 0.732
Epoch 2 Batch 173/269 - Train Accuracy: 0.598, Validation Accuracy: 0.593, Loss: 0.710
Epoch 2 Batch 174/269 - Train Accuracy: 0.570, Validation Accuracy: 0.592, Loss: 0.730
Epoch 2 Batch 175/269 - Train Accuracy: 0.587, Validation Accuracy: 0.592, Loss: 0.737
Epoch 2 Batch 176/269 - Train Accuracy: 0.569, Validation Accuracy: 0.595, Loss: 0.769
Epoch 2 Batch 177/269 - Train Accuracy: 0.591, Validation Accuracy: 0.592, Loss: 0.695
Epoch 2 Batch 178/269 - Train Accuracy: 0.583, Validation Accuracy: 0.599, Loss: 0.740
Epoch 2 Batch 179/269 - Train Accuracy: 0.601, Validation Accuracy: 0.599, Loss: 0.723
Epoch 2 Batch 180/269 - Train Accuracy: 0.589, Validation Accuracy: 0.591, Loss: 0.713
Epoch 2 Batch 181/269 - Train Accuracy: 0.596, Validation Accuracy: 0.599, Loss: 0.728
Epoch 2 Batch 182/269 - Train Accuracy: 0.602, Validation Accuracy: 0.596, Loss: 0.722
Epoch 2 Batch 183/269 - Train Accuracy: 0.649, Validation Accuracy: 0.592, Loss: 0.622
Epoch 2 Batch 184/269 - Train Accuracy: 0.564, Validation Accuracy: 0.600, Loss: 0.744
Epoch 2 Batch 185/269 - Train Accuracy: 0.602, Validation Accuracy: 0.603, Loss: 0.707
Epoch 2 Batch 186/269 - Train Accuracy: 0.562, Validation Accuracy: 0.596, Loss: 0.734
Epoch 2 Batch 187/269 - Train Accuracy: 0.593, Validation Accuracy: 0.598, Loss: 0.704
Epoch 2 Batch 188/269 - Train Accuracy: 0.602, Validation Accuracy: 0.601, Loss: 0.692
Epoch 2 Batch 189/269 - Train Accuracy: 0.603, Validation Accuracy: 0.605, Loss: 0.696
Epoch 2 Batch 190/269 - Train Accuracy: 0.584, Validation Accuracy: 0.600, Loss: 0.701
Epoch 2 Batch 191/269 - Train Accuracy: 0.620, Validation Accuracy: 0.605, Loss: 0.700
Epoch 2 Batch 192/269 - Train Accuracy: 0.596, Validation Accuracy: 0.601, Loss: 0.710
Epoch 2 Batch 193/269 - Train Accuracy: 0.590, Validation Accuracy: 0.593, Loss: 0.706
Epoch 2 Batch 194/269 - Train Accuracy: 0.599, Validation Accuracy: 0.598, Loss: 0.714
Epoch 2 Batch 195/269 - Train Accuracy: 0.590, Validation Accuracy: 0.602, Loss: 0.707
Epoch 2 Batch 196/269 - Train Accuracy: 0.571, Validation Accuracy: 0.590, Loss: 0.706
Epoch 2 Batch 197/269 - Train Accuracy: 0.573, Validation Accuracy: 0.603, Loss: 0.744
Epoch 2 Batch 198/269 - Train Accuracy: 0.572, Validation Accuracy: 0.593, Loss: 0.749
Epoch 2 Batch 199/269 - Train Accuracy: 0.584, Validation Accuracy: 0.597, Loss: 0.724
Epoch 2 Batch 200/269 - Train Accuracy: 0.585, Validation Accuracy: 0.607, Loss: 0.726
Epoch 2 Batch 201/269 - Train Accuracy: 0.597, Validation Accuracy: 0.600, Loss: 0.698
Epoch 2 Batch 202/269 - Train Accuracy: 0.597, Validation Accuracy: 0.601, Loss: 0.703
Epoch 2 Batch 203/269 - Train Accuracy: 0.577, Validation Accuracy: 0.600, Loss: 0.747
Epoch 2 Batch 204/269 - Train Accuracy: 0.578, Validation Accuracy: 0.598, Loss: 0.729
Epoch 2 Batch 205/269 - Train Accuracy: 0.593, Validation Accuracy: 0.607, Loss: 0.692
Epoch 2 Batch 206/269 - Train Accuracy: 0.596, Validation Accuracy: 0.608, Loss: 0.733
Epoch 2 Batch 207/269 - Train Accuracy: 0.634, Validation Accuracy: 0.611, Loss: 0.679
Epoch 2 Batch 208/269 - Train Accuracy: 0.576, Validation Accuracy: 0.609, Loss: 0.728
Epoch 2 Batch 209/269 - Train Accuracy: 0.578, Validation Accuracy: 0.603, Loss: 0.701
Epoch 2 Batch 210/269 - Train Accuracy: 0.611, Validation Accuracy: 0.614, Loss: 0.686
Epoch 2 Batch 211/269 - Train Accuracy: 0.602, Validation Accuracy: 0.612, Loss: 0.703
Epoch 2 Batch 212/269 - Train Accuracy: 0.605, Validation Accuracy: 0.610, Loss: 0.684
Epoch 2 Batch 213/269 - Train Accuracy: 0.599, Validation Accuracy: 0.619, Loss: 0.689
Epoch 2 Batch 214/269 - Train Accuracy: 0.609, Validation Accuracy: 0.610, Loss: 0.688
Epoch 2 Batch 215/269 - Train Accuracy: 0.624, Validation Accuracy: 0.603, Loss: 0.650
Epoch 2 Batch 216/269 - Train Accuracy: 0.578, Validation Accuracy: 0.619, Loss: 0.744
Epoch 2 Batch 217/269 - Train Accuracy: 0.567, Validation Accuracy: 0.607, Loss: 0.721
Epoch 2 Batch 218/269 - Train Accuracy: 0.589, Validation Accuracy: 0.615, Loss: 0.714
Epoch 2 Batch 219/269 - Train Accuracy: 0.598, Validation Accuracy: 0.609, Loss: 0.715
Epoch 2 Batch 220/269 - Train Accuracy: 0.610, Validation Accuracy: 0.605, Loss: 0.652
Epoch 2 Batch 221/269 - Train Accuracy: 0.626, Validation Accuracy: 0.618, Loss: 0.687
Epoch 2 Batch 222/269 - Train Accuracy: 0.616, Validation Accuracy: 0.610, Loss: 0.659
Epoch 2 Batch 223/269 - Train Accuracy: 0.607, Validation Accuracy: 0.609, Loss: 0.672
Epoch 2 Batch 224/269 - Train Accuracy: 0.610, Validation Accuracy: 0.613, Loss: 0.707
Epoch 2 Batch 225/269 - Train Accuracy: 0.598, Validation Accuracy: 0.612, Loss: 0.696
Epoch 2 Batch 226/269 - Train Accuracy: 0.605, Validation Accuracy: 0.612, Loss: 0.682
Epoch 2 Batch 227/269 - Train Accuracy: 0.660, Validation Accuracy: 0.610, Loss: 0.605
Epoch 2 Batch 228/269 - Train Accuracy: 0.595, Validation Accuracy: 0.601, Loss: 0.691
Epoch 2 Batch 229/269 - Train Accuracy: 0.606, Validation Accuracy: 0.610, Loss: 0.680
Epoch 2 Batch 230/269 - Train Accuracy: 0.587, Validation Accuracy: 0.598, Loss: 0.681
Epoch 2 Batch 231/269 - Train Accuracy: 0.589, Validation Accuracy: 0.597, Loss: 0.726
Epoch 2 Batch 232/269 - Train Accuracy: 0.577, Validation Accuracy: 0.605, Loss: 0.711
Epoch 2 Batch 233/269 - Train Accuracy: 0.598, Validation Accuracy: 0.611, Loss: 0.680
Epoch 2 Batch 234/269 - Train Accuracy: 0.609, Validation Accuracy: 0.617, Loss: 0.683
Epoch 2 Batch 235/269 - Train Accuracy: 0.626, Validation Accuracy: 0.619, Loss: 0.671
Epoch 2 Batch 236/269 - Train Accuracy: 0.590, Validation Accuracy: 0.609, Loss: 0.679
Epoch 2 Batch 237/269 - Train Accuracy: 0.601, Validation Accuracy: 0.616, Loss: 0.677
Epoch 2 Batch 238/269 - Train Accuracy: 0.637, Validation Accuracy: 0.610, Loss: 0.662
Epoch 2 Batch 239/269 - Train Accuracy: 0.619, Validation Accuracy: 0.610, Loss: 0.667
Epoch 2 Batch 240/269 - Train Accuracy: 0.641, Validation Accuracy: 0.618, Loss: 0.619
Epoch 2 Batch 241/269 - Train Accuracy: 0.631, Validation Accuracy: 0.608, Loss: 0.677
Epoch 2 Batch 242/269 - Train Accuracy: 0.609, Validation Accuracy: 0.608, Loss: 0.682
Epoch 2 Batch 243/269 - Train Accuracy: 0.607, Validation Accuracy: 0.610, Loss: 0.654
Epoch 2 Batch 244/269 - Train Accuracy: 0.601, Validation Accuracy: 0.609, Loss: 0.669
Epoch 2 Batch 245/269 - Train Accuracy: 0.599, Validation Accuracy: 0.609, Loss: 0.708
Epoch 2 Batch 246/269 - Train Accuracy: 0.587, Validation Accuracy: 0.603, Loss: 0.678
Epoch 2 Batch 247/269 - Train Accuracy: 0.600, Validation Accuracy: 0.615, Loss: 0.701
Epoch 2 Batch 248/269 - Train Accuracy: 0.608, Validation Accuracy: 0.620, Loss: 0.661
Epoch 2 Batch 249/269 - Train Accuracy: 0.636, Validation Accuracy: 0.607, Loss: 0.635
Epoch 2 Batch 250/269 - Train Accuracy: 0.599, Validation Accuracy: 0.616, Loss: 0.684
Epoch 2 Batch 251/269 - Train Accuracy: 0.640, Validation Accuracy: 0.627, Loss: 0.652
Epoch 2 Batch 252/269 - Train Accuracy: 0.606, Validation Accuracy: 0.607, Loss: 0.676
Epoch 2 Batch 253/269 - Train Accuracy: 0.597, Validation Accuracy: 0.613, Loss: 0.677
Epoch 2 Batch 254/269 - Train Accuracy: 0.608, Validation Accuracy: 0.622, Loss: 0.658
Epoch 2 Batch 255/269 - Train Accuracy: 0.646, Validation Accuracy: 0.618, Loss: 0.632
Epoch 2 Batch 256/269 - Train Accuracy: 0.596, Validation Accuracy: 0.612, Loss: 0.680
Epoch 2 Batch 257/269 - Train Accuracy: 0.593, Validation Accuracy: 0.618, Loss: 0.676
Epoch 2 Batch 258/269 - Train Accuracy: 0.609, Validation Accuracy: 0.612, Loss: 0.665
Epoch 2 Batch 259/269 - Train Accuracy: 0.627, Validation Accuracy: 0.606, Loss: 0.660
Epoch 2 Batch 260/269 - Train Accuracy: 0.603, Validation Accuracy: 0.607, Loss: 0.695
Epoch 2 Batch 261/269 - Train Accuracy: 0.579, Validation Accuracy: 0.603, Loss: 0.698
Epoch 2 Batch 262/269 - Train Accuracy: 0.624, Validation Accuracy: 0.602, Loss: 0.660
Epoch 2 Batch 263/269 - Train Accuracy: 0.597, Validation Accuracy: 0.600, Loss: 0.679
Epoch 2 Batch 264/269 - Train Accuracy: 0.578, Validation Accuracy: 0.602, Loss: 0.686
Epoch 2 Batch 265/269 - Train Accuracy: 0.600, Validation Accuracy: 0.613, Loss: 0.677
Epoch 2 Batch 266/269 - Train Accuracy: 0.616, Validation Accuracy: 0.607, Loss: 0.646
Epoch 2 Batch 267/269 - Train Accuracy: 0.611, Validation Accuracy: 0.603, Loss: 0.665
Epoch 3 Batch 0/269 - Train Accuracy: 0.601, Validation Accuracy: 0.615, Loss: 0.687
Epoch 3 Batch 1/269 - Train Accuracy: 0.586, Validation Accuracy: 0.614, Loss: 0.672
Epoch 3 Batch 2/269 - Train Accuracy: 0.598, Validation Accuracy: 0.612, Loss: 0.661
Epoch 3 Batch 3/269 - Train Accuracy: 0.611, Validation Accuracy: 0.612, Loss: 0.669
Epoch 3 Batch 4/269 - Train Accuracy: 0.577, Validation Accuracy: 0.608, Loss: 0.682
Epoch 3 Batch 5/269 - Train Accuracy: 0.588, Validation Accuracy: 0.605, Loss: 0.683
Epoch 3 Batch 6/269 - Train Accuracy: 0.610, Validation Accuracy: 0.612, Loss: 0.629
Epoch 3 Batch 7/269 - Train Accuracy: 0.610, Validation Accuracy: 0.611, Loss: 0.640
Epoch 3 Batch 8/269 - Train Accuracy: 0.583, Validation Accuracy: 0.606, Loss: 0.680
Epoch 3 Batch 9/269 - Train Accuracy: 0.598, Validation Accuracy: 0.611, Loss: 0.669
Epoch 3 Batch 10/269 - Train Accuracy: 0.597, Validation Accuracy: 0.609, Loss: 0.665
Epoch 3 Batch 11/269 - Train Accuracy: 0.595, Validation Accuracy: 0.616, Loss: 0.664
Epoch 3 Batch 12/269 - Train Accuracy: 0.602, Validation Accuracy: 0.610, Loss: 0.682
Epoch 3 Batch 13/269 - Train Accuracy: 0.636, Validation Accuracy: 0.614, Loss: 0.604
Epoch 3 Batch 14/269 - Train Accuracy: 0.619, Validation Accuracy: 0.613, Loss: 0.640
Epoch 3 Batch 15/269 - Train Accuracy: 0.607, Validation Accuracy: 0.625, Loss: 0.640
Epoch 3 Batch 16/269 - Train Accuracy: 0.618, Validation Accuracy: 0.627, Loss: 0.645
Epoch 3 Batch 17/269 - Train Accuracy: 0.616, Validation Accuracy: 0.625, Loss: 0.634
Epoch 3 Batch 18/269 - Train Accuracy: 0.588, Validation Accuracy: 0.626, Loss: 0.662
Epoch 3 Batch 19/269 - Train Accuracy: 0.636, Validation Accuracy: 0.624, Loss: 0.607
Epoch 3 Batch 20/269 - Train Accuracy: 0.606, Validation Accuracy: 0.616, Loss: 0.664
Epoch 3 Batch 21/269 - Train Accuracy: 0.602, Validation Accuracy: 0.625, Loss: 0.682
Epoch 3 Batch 22/269 - Train Accuracy: 0.623, Validation Accuracy: 0.631, Loss: 0.621
Epoch 3 Batch 23/269 - Train Accuracy: 0.624, Validation Accuracy: 0.626, Loss: 0.629
Epoch 3 Batch 24/269 - Train Accuracy: 0.616, Validation Accuracy: 0.633, Loss: 0.668
Epoch 3 Batch 25/269 - Train Accuracy: 0.601, Validation Accuracy: 0.628, Loss: 0.675
Epoch 3 Batch 26/269 - Train Accuracy: 0.638, Validation Accuracy: 0.613, Loss: 0.598
Epoch 3 Batch 27/269 - Train Accuracy: 0.619, Validation Accuracy: 0.627, Loss: 0.636
Epoch 3 Batch 28/269 - Train Accuracy: 0.574, Validation Accuracy: 0.620, Loss: 0.689
Epoch 3 Batch 29/269 - Train Accuracy: 0.600, Validation Accuracy: 0.615, Loss: 0.669
Epoch 3 Batch 30/269 - Train Accuracy: 0.618, Validation Accuracy: 0.619, Loss: 0.635
Epoch 3 Batch 31/269 - Train Accuracy: 0.620, Validation Accuracy: 0.618, Loss: 0.618
Epoch 3 Batch 32/269 - Train Accuracy: 0.620, Validation Accuracy: 0.610, Loss: 0.629
Epoch 3 Batch 33/269 - Train Accuracy: 0.633, Validation Accuracy: 0.611, Loss: 0.615
Epoch 3 Batch 34/269 - Train Accuracy: 0.609, Validation Accuracy: 0.612, Loss: 0.630
Epoch 3 Batch 35/269 - Train Accuracy: 0.619, Validation Accuracy: 0.617, Loss: 0.645
Epoch 3 Batch 36/269 - Train Accuracy: 0.611, Validation Accuracy: 0.614, Loss: 0.631
Epoch 3 Batch 37/269 - Train Accuracy: 0.632, Validation Accuracy: 0.612, Loss: 0.629
Epoch 3 Batch 38/269 - Train Accuracy: 0.634, Validation Accuracy: 0.618, Loss: 0.634
Epoch 3 Batch 39/269 - Train Accuracy: 0.629, Validation Accuracy: 0.616, Loss: 0.621
Epoch 3 Batch 40/269 - Train Accuracy: 0.595, Validation Accuracy: 0.612, Loss: 0.654
Epoch 3 Batch 41/269 - Train Accuracy: 0.613, Validation Accuracy: 0.617, Loss: 0.643
Epoch 3 Batch 42/269 - Train Accuracy: 0.656, Validation Accuracy: 0.621, Loss: 0.599
Epoch 3 Batch 43/269 - Train Accuracy: 0.625, Validation Accuracy: 0.618, Loss: 0.647
Epoch 3 Batch 44/269 - Train Accuracy: 0.630, Validation Accuracy: 0.620, Loss: 0.632
Epoch 3 Batch 45/269 - Train Accuracy: 0.610, Validation Accuracy: 0.616, Loss: 0.658
Epoch 3 Batch 46/269 - Train Accuracy: 0.593, Validation Accuracy: 0.612, Loss: 0.650
Epoch 3 Batch 47/269 - Train Accuracy: 0.645, Validation Accuracy: 0.612, Loss: 0.586
Epoch 3 Batch 48/269 - Train Accuracy: 0.636, Validation Accuracy: 0.617, Loss: 0.607
Epoch 3 Batch 49/269 - Train Accuracy: 0.594, Validation Accuracy: 0.614, Loss: 0.641
Epoch 3 Batch 50/269 - Train Accuracy: 0.605, Validation Accuracy: 0.610, Loss: 0.649
Epoch 3 Batch 51/269 - Train Accuracy: 0.617, Validation Accuracy: 0.608, Loss: 0.629
Epoch 3 Batch 52/269 - Train Accuracy: 0.606, Validation Accuracy: 0.602, Loss: 0.602
Epoch 3 Batch 53/269 - Train Accuracy: 0.613, Validation Accuracy: 0.615, Loss: 0.652
Epoch 3 Batch 54/269 - Train Accuracy: 0.603, Validation Accuracy: 0.620, Loss: 0.638
Epoch 3 Batch 55/269 - Train Accuracy: 0.625, Validation Accuracy: 0.608, Loss: 0.610
Epoch 3 Batch 56/269 - Train Accuracy: 0.640, Validation Accuracy: 0.615, Loss: 0.619
Epoch 3 Batch 57/269 - Train Accuracy: 0.622, Validation Accuracy: 0.617, Loss: 0.634
Epoch 3 Batch 58/269 - Train Accuracy: 0.634, Validation Accuracy: 0.624, Loss: 0.612
Epoch 3 Batch 59/269 - Train Accuracy: 0.635, Validation Accuracy: 0.624, Loss: 0.594
Epoch 3 Batch 60/269 - Train Accuracy: 0.644, Validation Accuracy: 0.629, Loss: 0.591
Epoch 3 Batch 61/269 - Train Accuracy: 0.649, Validation Accuracy: 0.633, Loss: 0.576
Epoch 3 Batch 62/269 - Train Accuracy: 0.645, Validation Accuracy: 0.622, Loss: 0.598
Epoch 3 Batch 63/269 - Train Accuracy: 0.620, Validation Accuracy: 0.626, Loss: 0.625
Epoch 3 Batch 64/269 - Train Accuracy: 0.624, Validation Accuracy: 0.626, Loss: 0.610
Epoch 3 Batch 65/269 - Train Accuracy: 0.613, Validation Accuracy: 0.616, Loss: 0.612
Epoch 3 Batch 66/269 - Train Accuracy: 0.645, Validation Accuracy: 0.627, Loss: 0.597
Epoch 3 Batch 67/269 - Train Accuracy: 0.630, Validation Accuracy: 0.628, Loss: 0.618
Epoch 3 Batch 68/269 - Train Accuracy: 0.608, Validation Accuracy: 0.621, Loss: 0.623
Epoch 3 Batch 69/269 - Train Accuracy: 0.597, Validation Accuracy: 0.627, Loss: 0.672
Epoch 3 Batch 70/269 - Train Accuracy: 0.634, Validation Accuracy: 0.631, Loss: 0.614
Epoch 3 Batch 71/269 - Train Accuracy: 0.621, Validation Accuracy: 0.632, Loss: 0.635
Epoch 3 Batch 72/269 - Train Accuracy: 0.638, Validation Accuracy: 0.631, Loss: 0.606
Epoch 3 Batch 73/269 - Train Accuracy: 0.639, Validation Accuracy: 0.630, Loss: 0.626
Epoch 3 Batch 74/269 - Train Accuracy: 0.625, Validation Accuracy: 0.619, Loss: 0.622
Epoch 3 Batch 75/269 - Train Accuracy: 0.632, Validation Accuracy: 0.624, Loss: 0.605
Epoch 3 Batch 76/269 - Train Accuracy: 0.607, Validation Accuracy: 0.624, Loss: 0.622
Epoch 3 Batch 77/269 - Train Accuracy: 0.649, Validation Accuracy: 0.619, Loss: 0.609
Epoch 3 Batch 78/269 - Train Accuracy: 0.641, Validation Accuracy: 0.620, Loss: 0.602
Epoch 3 Batch 79/269 - Train Accuracy: 0.638, Validation Accuracy: 0.628, Loss: 0.601
Epoch 3 Batch 80/269 - Train Accuracy: 0.641, Validation Accuracy: 0.628, Loss: 0.600
Epoch 3 Batch 81/269 - Train Accuracy: 0.619, Validation Accuracy: 0.627, Loss: 0.620
Epoch 3 Batch 82/269 - Train Accuracy: 0.654, Validation Accuracy: 0.626, Loss: 0.591
Epoch 3 Batch 83/269 - Train Accuracy: 0.631, Validation Accuracy: 0.627, Loss: 0.618
Epoch 3 Batch 84/269 - Train Accuracy: 0.636, Validation Accuracy: 0.636, Loss: 0.593
Epoch 3 Batch 85/269 - Train Accuracy: 0.617, Validation Accuracy: 0.636, Loss: 0.606
Epoch 3 Batch 86/269 - Train Accuracy: 0.620, Validation Accuracy: 0.631, Loss: 0.593
Epoch 3 Batch 87/269 - Train Accuracy: 0.623, Validation Accuracy: 0.638, Loss: 0.643
Epoch 3 Batch 88/269 - Train Accuracy: 0.620, Validation Accuracy: 0.629, Loss: 0.608
Epoch 3 Batch 89/269 - Train Accuracy: 0.642, Validation Accuracy: 0.633, Loss: 0.617
Epoch 3 Batch 90/269 - Train Accuracy: 0.599, Validation Accuracy: 0.625, Loss: 0.645
Epoch 3 Batch 91/269 - Train Accuracy: 0.655, Validation Accuracy: 0.630, Loss: 0.590
Epoch 3 Batch 92/269 - Train Accuracy: 0.644, Validation Accuracy: 0.630, Loss: 0.592
Epoch 3 Batch 93/269 - Train Accuracy: 0.653, Validation Accuracy: 0.628, Loss: 0.579
Epoch 3 Batch 94/269 - Train Accuracy: 0.627, Validation Accuracy: 0.631, Loss: 0.610
Epoch 3 Batch 95/269 - Train Accuracy: 0.636, Validation Accuracy: 0.631, Loss: 0.606
Epoch 3 Batch 96/269 - Train Accuracy: 0.634, Validation Accuracy: 0.631, Loss: 0.603
Epoch 3 Batch 97/269 - Train Accuracy: 0.637, Validation Accuracy: 0.636, Loss: 0.600
Epoch 3 Batch 98/269 - Train Accuracy: 0.644, Validation Accuracy: 0.640, Loss: 0.597
Epoch 3 Batch 99/269 - Train Accuracy: 0.618, Validation Accuracy: 0.629, Loss: 0.625
Epoch 3 Batch 100/269 - Train Accuracy: 0.653, Validation Accuracy: 0.633, Loss: 0.599
Epoch 3 Batch 101/269 - Train Accuracy: 0.601, Validation Accuracy: 0.634, Loss: 0.632
Epoch 3 Batch 102/269 - Train Accuracy: 0.630, Validation Accuracy: 0.644, Loss: 0.592
Epoch 3 Batch 103/269 - Train Accuracy: 0.658, Validation Accuracy: 0.647, Loss: 0.592
Epoch 3 Batch 104/269 - Train Accuracy: 0.627, Validation Accuracy: 0.632, Loss: 0.596
Epoch 3 Batch 105/269 - Train Accuracy: 0.628, Validation Accuracy: 0.642, Loss: 0.604
Epoch 3 Batch 106/269 - Train Accuracy: 0.636, Validation Accuracy: 0.637, Loss: 0.593
Epoch 3 Batch 107/269 - Train Accuracy: 0.604, Validation Accuracy: 0.627, Loss: 0.633
Epoch 3 Batch 108/269 - Train Accuracy: 0.632, Validation Accuracy: 0.633, Loss: 0.596
Epoch 3 Batch 109/269 - Train Accuracy: 0.635, Validation Accuracy: 0.634, Loss: 0.596
Epoch 3 Batch 110/269 - Train Accuracy: 0.628, Validation Accuracy: 0.626, Loss: 0.590
Epoch 3 Batch 111/269 - Train Accuracy: 0.608, Validation Accuracy: 0.628, Loss: 0.635
Epoch 3 Batch 112/269 - Train Accuracy: 0.640, Validation Accuracy: 0.635, Loss: 0.597
Epoch 3 Batch 113/269 - Train Accuracy: 0.630, Validation Accuracy: 0.634, Loss: 0.571
Epoch 3 Batch 114/269 - Train Accuracy: 0.638, Validation Accuracy: 0.632, Loss: 0.590
Epoch 3 Batch 115/269 - Train Accuracy: 0.621, Validation Accuracy: 0.638, Loss: 0.621
Epoch 3 Batch 116/269 - Train Accuracy: 0.644, Validation Accuracy: 0.638, Loss: 0.601
Epoch 3 Batch 117/269 - Train Accuracy: 0.638, Validation Accuracy: 0.632, Loss: 0.586
Epoch 3 Batch 118/269 - Train Accuracy: 0.645, Validation Accuracy: 0.634, Loss: 0.578
Epoch 3 Batch 119/269 - Train Accuracy: 0.623, Validation Accuracy: 0.638, Loss: 0.614
Epoch 3 Batch 120/269 - Train Accuracy: 0.625, Validation Accuracy: 0.636, Loss: 0.607
Epoch 3 Batch 121/269 - Train Accuracy: 0.639, Validation Accuracy: 0.634, Loss: 0.584
Epoch 3 Batch 122/269 - Train Accuracy: 0.651, Validation Accuracy: 0.638, Loss: 0.582
Epoch 3 Batch 123/269 - Train Accuracy: 0.630, Validation Accuracy: 0.635, Loss: 0.612
Epoch 3 Batch 124/269 - Train Accuracy: 0.630, Validation Accuracy: 0.628, Loss: 0.576
Epoch 3 Batch 125/269 - Train Accuracy: 0.648, Validation Accuracy: 0.637, Loss: 0.575
Epoch 3 Batch 126/269 - Train Accuracy: 0.633, Validation Accuracy: 0.634, Loss: 0.578
Epoch 3 Batch 127/269 - Train Accuracy: 0.638, Validation Accuracy: 0.640, Loss: 0.607
Epoch 3 Batch 128/269 - Train Accuracy: 0.648, Validation Accuracy: 0.632, Loss: 0.583
Epoch 3 Batch 129/269 - Train Accuracy: 0.644, Validation Accuracy: 0.638, Loss: 0.588
Epoch 3 Batch 130/269 - Train Accuracy: 0.612, Validation Accuracy: 0.630, Loss: 0.616
Epoch 3 Batch 131/269 - Train Accuracy: 0.618, Validation Accuracy: 0.633, Loss: 0.607
Epoch 3 Batch 132/269 - Train Accuracy: 0.622, Validation Accuracy: 0.636, Loss: 0.595
Epoch 3 Batch 133/269 - Train Accuracy: 0.657, Validation Accuracy: 0.630, Loss: 0.572
Epoch 3 Batch 134/269 - Train Accuracy: 0.618, Validation Accuracy: 0.638, Loss: 0.601
Epoch 3 Batch 135/269 - Train Accuracy: 0.606, Validation Accuracy: 0.636, Loss: 0.633
Epoch 3 Batch 136/269 - Train Accuracy: 0.609, Validation Accuracy: 0.644, Loss: 0.636
Epoch 3 Batch 137/269 - Train Accuracy: 0.624, Validation Accuracy: 0.625, Loss: 0.629
Epoch 3 Batch 138/269 - Train Accuracy: 0.650, Validation Accuracy: 0.640, Loss: 0.626
Epoch 3 Batch 139/269 - Train Accuracy: 0.660, Validation Accuracy: 0.638, Loss: 0.573
Epoch 3 Batch 140/269 - Train Accuracy: 0.640, Validation Accuracy: 0.624, Loss: 0.593
Epoch 3 Batch 141/269 - Train Accuracy: 0.623, Validation Accuracy: 0.639, Loss: 0.599
Epoch 3 Batch 142/269 - Train Accuracy: 0.664, Validation Accuracy: 0.639, Loss: 0.569
Epoch 3 Batch 143/269 - Train Accuracy: 0.634, Validation Accuracy: 0.639, Loss: 0.580
Epoch 3 Batch 144/269 - Train Accuracy: 0.650, Validation Accuracy: 0.642, Loss: 0.560
Epoch 3 Batch 145/269 - Train Accuracy: 0.670, Validation Accuracy: 0.646, Loss: 0.577
Epoch 3 Batch 146/269 - Train Accuracy: 0.650, Validation Accuracy: 0.642, Loss: 0.569
Epoch 3 Batch 147/269 - Train Accuracy: 0.661, Validation Accuracy: 0.638, Loss: 0.554
Epoch 3 Batch 148/269 - Train Accuracy: 0.624, Validation Accuracy: 0.644, Loss: 0.578
Epoch 3 Batch 149/269 - Train Accuracy: 0.639, Validation Accuracy: 0.653, Loss: 0.578
Epoch 3 Batch 150/269 - Train Accuracy: 0.655, Validation Accuracy: 0.643, Loss: 0.585
Epoch 3 Batch 151/269 - Train Accuracy: 0.666, Validation Accuracy: 0.640, Loss: 0.552
Epoch 3 Batch 152/269 - Train Accuracy: 0.648, Validation Accuracy: 0.646, Loss: 0.586
Epoch 3 Batch 153/269 - Train Accuracy: 0.657, Validation Accuracy: 0.652, Loss: 0.564
Epoch 3 Batch 154/269 - Train Accuracy: 0.634, Validation Accuracy: 0.643, Loss: 0.584
Epoch 3 Batch 155/269 - Train Accuracy: 0.662, Validation Accuracy: 0.643, Loss: 0.545
Epoch 3 Batch 156/269 - Train Accuracy: 0.628, Validation Accuracy: 0.647, Loss: 0.602
Epoch 3 Batch 157/269 - Train Accuracy: 0.623, Validation Accuracy: 0.650, Loss: 0.568
Epoch 3 Batch 158/269 - Train Accuracy: 0.638, Validation Accuracy: 0.646, Loss: 0.571
Epoch 3 Batch 159/269 - Train Accuracy: 0.640, Validation Accuracy: 0.651, Loss: 0.569
Epoch 3 Batch 160/269 - Train Accuracy: 0.656, Validation Accuracy: 0.660, Loss: 0.564
Epoch 3 Batch 161/269 - Train Accuracy: 0.641, Validation Accuracy: 0.652, Loss: 0.571
Epoch 3 Batch 162/269 - Train Accuracy: 0.646, Validation Accuracy: 0.645, Loss: 0.567
Epoch 3 Batch 163/269 - Train Accuracy: 0.661, Validation Accuracy: 0.655, Loss: 0.574
Epoch 3 Batch 164/269 - Train Accuracy: 0.654, Validation Accuracy: 0.652, Loss: 0.575
Epoch 3 Batch 165/269 - Train Accuracy: 0.633, Validation Accuracy: 0.648, Loss: 0.588
Epoch 3 Batch 166/269 - Train Accuracy: 0.655, Validation Accuracy: 0.651, Loss: 0.540
Epoch 3 Batch 167/269 - Train Accuracy: 0.652, Validation Accuracy: 0.652, Loss: 0.566
Epoch 3 Batch 168/269 - Train Accuracy: 0.645, Validation Accuracy: 0.646, Loss: 0.572
Epoch 3 Batch 169/269 - Train Accuracy: 0.658, Validation Accuracy: 0.646, Loss: 0.570
Epoch 3 Batch 170/269 - Train Accuracy: 0.642, Validation Accuracy: 0.647, Loss: 0.561
Epoch 3 Batch 171/269 - Train Accuracy: 0.655, Validation Accuracy: 0.642, Loss: 0.584
Epoch 3 Batch 172/269 - Train Accuracy: 0.640, Validation Accuracy: 0.638, Loss: 0.576
Epoch 3 Batch 173/269 - Train Accuracy: 0.657, Validation Accuracy: 0.658, Loss: 0.558
Epoch 3 Batch 174/269 - Train Accuracy: 0.629, Validation Accuracy: 0.637, Loss: 0.569
Epoch 3 Batch 175/269 - Train Accuracy: 0.652, Validation Accuracy: 0.633, Loss: 0.579
Epoch 3 Batch 176/269 - Train Accuracy: 0.632, Validation Accuracy: 0.659, Loss: 0.607
Epoch 3 Batch 177/269 - Train Accuracy: 0.654, Validation Accuracy: 0.636, Loss: 0.552
Epoch 3 Batch 178/269 - Train Accuracy: 0.629, Validation Accuracy: 0.643, Loss: 0.577
Epoch 3 Batch 179/269 - Train Accuracy: 0.652, Validation Accuracy: 0.652, Loss: 0.565
Epoch 3 Batch 180/269 - Train Accuracy: 0.653, Validation Accuracy: 0.640, Loss: 0.559
Epoch 3 Batch 181/269 - Train Accuracy: 0.642, Validation Accuracy: 0.647, Loss: 0.574
Epoch 3 Batch 182/269 - Train Accuracy: 0.659, Validation Accuracy: 0.650, Loss: 0.560
Epoch 3 Batch 183/269 - Train Accuracy: 0.700, Validation Accuracy: 0.650, Loss: 0.486
Epoch 3 Batch 184/269 - Train Accuracy: 0.622, Validation Accuracy: 0.650, Loss: 0.582
Epoch 3 Batch 185/269 - Train Accuracy: 0.664, Validation Accuracy: 0.636, Loss: 0.553
Epoch 3 Batch 186/269 - Train Accuracy: 0.637, Validation Accuracy: 0.654, Loss: 0.574
Epoch 3 Batch 187/269 - Train Accuracy: 0.671, Validation Accuracy: 0.654, Loss: 0.545
Epoch 3 Batch 188/269 - Train Accuracy: 0.664, Validation Accuracy: 0.644, Loss: 0.540
Epoch 3 Batch 189/269 - Train Accuracy: 0.659, Validation Accuracy: 0.650, Loss: 0.544
Epoch 3 Batch 190/269 - Train Accuracy: 0.658, Validation Accuracy: 0.668, Loss: 0.546
Epoch 3 Batch 191/269 - Train Accuracy: 0.671, Validation Accuracy: 0.652, Loss: 0.543
Epoch 3 Batch 192/269 - Train Accuracy: 0.670, Validation Accuracy: 0.655, Loss: 0.549
Epoch 3 Batch 193/269 - Train Accuracy: 0.675, Validation Accuracy: 0.670, Loss: 0.546
Epoch 3 Batch 194/269 - Train Accuracy: 0.656, Validation Accuracy: 0.656, Loss: 0.557
Epoch 3 Batch 195/269 - Train Accuracy: 0.659, Validation Accuracy: 0.658, Loss: 0.553
Epoch 3 Batch 196/269 - Train Accuracy: 0.654, Validation Accuracy: 0.664, Loss: 0.550
Epoch 3 Batch 197/269 - Train Accuracy: 0.645, Validation Accuracy: 0.661, Loss: 0.575
Epoch 3 Batch 198/269 - Train Accuracy: 0.635, Validation Accuracy: 0.654, Loss: 0.582
Epoch 3 Batch 199/269 - Train Accuracy: 0.652, Validation Accuracy: 0.665, Loss: 0.559
Epoch 3 Batch 200/269 - Train Accuracy: 0.652, Validation Accuracy: 0.669, Loss: 0.573
Epoch 3 Batch 201/269 - Train Accuracy: 0.659, Validation Accuracy: 0.654, Loss: 0.548
Epoch 3 Batch 202/269 - Train Accuracy: 0.665, Validation Accuracy: 0.659, Loss: 0.546
Epoch 3 Batch 203/269 - Train Accuracy: 0.635, Validation Accuracy: 0.659, Loss: 0.582
Epoch 3 Batch 204/269 - Train Accuracy: 0.640, Validation Accuracy: 0.654, Loss: 0.575
Epoch 3 Batch 205/269 - Train Accuracy: 0.675, Validation Accuracy: 0.663, Loss: 0.537
Epoch 3 Batch 206/269 - Train Accuracy: 0.644, Validation Accuracy: 0.659, Loss: 0.570
Epoch 3 Batch 207/269 - Train Accuracy: 0.672, Validation Accuracy: 0.657, Loss: 0.530
Epoch 3 Batch 208/269 - Train Accuracy: 0.641, Validation Accuracy: 0.661, Loss: 0.565
Epoch 3 Batch 209/269 - Train Accuracy: 0.664, Validation Accuracy: 0.663, Loss: 0.548
Epoch 3 Batch 210/269 - Train Accuracy: 0.672, Validation Accuracy: 0.659, Loss: 0.536
Epoch 3 Batch 211/269 - Train Accuracy: 0.650, Validation Accuracy: 0.658, Loss: 0.547
Epoch 3 Batch 212/269 - Train Accuracy: 0.665, Validation Accuracy: 0.669, Loss: 0.533
Epoch 3 Batch 213/269 - Train Accuracy: 0.659, Validation Accuracy: 0.661, Loss: 0.542
Epoch 3 Batch 214/269 - Train Accuracy: 0.659, Validation Accuracy: 0.655, Loss: 0.541
Epoch 3 Batch 215/269 - Train Accuracy: 0.691, Validation Accuracy: 0.669, Loss: 0.511
Epoch 3 Batch 216/269 - Train Accuracy: 0.639, Validation Accuracy: 0.673, Loss: 0.576
Epoch 3 Batch 217/269 - Train Accuracy: 0.647, Validation Accuracy: 0.660, Loss: 0.566
Epoch 3 Batch 218/269 - Train Accuracy: 0.650, Validation Accuracy: 0.660, Loss: 0.561
Epoch 3 Batch 219/269 - Train Accuracy: 0.664, Validation Accuracy: 0.662, Loss: 0.571
Epoch 3 Batch 220/269 - Train Accuracy: 0.691, Validation Accuracy: 0.675, Loss: 0.531
Epoch 3 Batch 221/269 - Train Accuracy: 0.679, Validation Accuracy: 0.661, Loss: 0.537
Epoch 3 Batch 222/269 - Train Accuracy: 0.666, Validation Accuracy: 0.658, Loss: 0.525
Epoch 3 Batch 223/269 - Train Accuracy: 0.669, Validation Accuracy: 0.665, Loss: 0.541
Epoch 3 Batch 224/269 - Train Accuracy: 0.657, Validation Accuracy: 0.659, Loss: 0.573
Epoch 3 Batch 225/269 - Train Accuracy: 0.651, Validation Accuracy: 0.662, Loss: 0.549
Epoch 3 Batch 226/269 - Train Accuracy: 0.678, Validation Accuracy: 0.672, Loss: 0.530
Epoch 3 Batch 227/269 - Train Accuracy: 0.716, Validation Accuracy: 0.673, Loss: 0.484
Epoch 3 Batch 228/269 - Train Accuracy: 0.665, Validation Accuracy: 0.658, Loss: 0.538
Epoch 3 Batch 229/269 - Train Accuracy: 0.676, Validation Accuracy: 0.677, Loss: 0.536
Epoch 3 Batch 230/269 - Train Accuracy: 0.669, Validation Accuracy: 0.677, Loss: 0.544
Epoch 3 Batch 231/269 - Train Accuracy: 0.635, Validation Accuracy: 0.663, Loss: 0.566
Epoch 3 Batch 232/269 - Train Accuracy: 0.655, Validation Accuracy: 0.676, Loss: 0.560
Epoch 3 Batch 233/269 - Train Accuracy: 0.678, Validation Accuracy: 0.673, Loss: 0.535
Epoch 3 Batch 234/269 - Train Accuracy: 0.670, Validation Accuracy: 0.670, Loss: 0.535
Epoch 3 Batch 235/269 - Train Accuracy: 0.685, Validation Accuracy: 0.667, Loss: 0.520
Epoch 3 Batch 236/269 - Train Accuracy: 0.663, Validation Accuracy: 0.671, Loss: 0.528
Epoch 3 Batch 237/269 - Train Accuracy: 0.669, Validation Accuracy: 0.669, Loss: 0.531
Epoch 3 Batch 238/269 - Train Accuracy: 0.687, Validation Accuracy: 0.680, Loss: 0.522
Epoch 3 Batch 239/269 - Train Accuracy: 0.659, Validation Accuracy: 0.663, Loss: 0.524
Epoch 3 Batch 240/269 - Train Accuracy: 0.692, Validation Accuracy: 0.667, Loss: 0.486
Epoch 3 Batch 241/269 - Train Accuracy: 0.688, Validation Accuracy: 0.678, Loss: 0.534
Epoch 3 Batch 242/269 - Train Accuracy: 0.657, Validation Accuracy: 0.653, Loss: 0.527
Epoch 3 Batch 243/269 - Train Accuracy: 0.676, Validation Accuracy: 0.673, Loss: 0.514
Epoch 3 Batch 244/269 - Train Accuracy: 0.678, Validation Accuracy: 0.678, Loss: 0.527
Epoch 3 Batch 245/269 - Train Accuracy: 0.652, Validation Accuracy: 0.667, Loss: 0.547
Epoch 3 Batch 246/269 - Train Accuracy: 0.660, Validation Accuracy: 0.667, Loss: 0.525
Epoch 3 Batch 247/269 - Train Accuracy: 0.647, Validation Accuracy: 0.676, Loss: 0.540
Epoch 3 Batch 248/269 - Train Accuracy: 0.674, Validation Accuracy: 0.679, Loss: 0.521
Epoch 3 Batch 249/269 - Train Accuracy: 0.678, Validation Accuracy: 0.674, Loss: 0.496
Epoch 3 Batch 250/269 - Train Accuracy: 0.685, Validation Accuracy: 0.675, Loss: 0.537
Epoch 3 Batch 251/269 - Train Accuracy: 0.696, Validation Accuracy: 0.671, Loss: 0.514
Epoch 3 Batch 252/269 - Train Accuracy: 0.657, Validation Accuracy: 0.665, Loss: 0.526
Epoch 3 Batch 253/269 - Train Accuracy: 0.656, Validation Accuracy: 0.678, Loss: 0.534
Epoch 3 Batch 254/269 - Train Accuracy: 0.659, Validation Accuracy: 0.668, Loss: 0.524
Epoch 3 Batch 255/269 - Train Accuracy: 0.686, Validation Accuracy: 0.669, Loss: 0.508
Epoch 3 Batch 256/269 - Train Accuracy: 0.651, Validation Accuracy: 0.663, Loss: 0.526
Epoch 3 Batch 257/269 - Train Accuracy: 0.655, Validation Accuracy: 0.663, Loss: 0.540
Epoch 3 Batch 258/269 - Train Accuracy: 0.667, Validation Accuracy: 0.663, Loss: 0.528
Epoch 3 Batch 259/269 - Train Accuracy: 0.678, Validation Accuracy: 0.671, Loss: 0.525
Epoch 3 Batch 260/269 - Train Accuracy: 0.653, Validation Accuracy: 0.669, Loss: 0.545
Epoch 3 Batch 261/269 - Train Accuracy: 0.648, Validation Accuracy: 0.674, Loss: 0.553
Epoch 3 Batch 262/269 - Train Accuracy: 0.668, Validation Accuracy: 0.664, Loss: 0.526
Epoch 3 Batch 263/269 - Train Accuracy: 0.672, Validation Accuracy: 0.678, Loss: 0.542
Epoch 3 Batch 264/269 - Train Accuracy: 0.661, Validation Accuracy: 0.680, Loss: 0.538
Epoch 3 Batch 265/269 - Train Accuracy: 0.663, Validation Accuracy: 0.660, Loss: 0.538
Epoch 3 Batch 266/269 - Train Accuracy: 0.684, Validation Accuracy: 0.682, Loss: 0.519
Epoch 3 Batch 267/269 - Train Accuracy: 0.666, Validation Accuracy: 0.686, Loss: 0.532
Epoch 4 Batch 0/269 - Train Accuracy: 0.664, Validation Accuracy: 0.669, Loss: 0.541
Epoch 4 Batch 1/269 - Train Accuracy: 0.653, Validation Accuracy: 0.681, Loss: 0.539
Epoch 4 Batch 2/269 - Train Accuracy: 0.668, Validation Accuracy: 0.679, Loss: 0.528
Epoch 4 Batch 3/269 - Train Accuracy: 0.665, Validation Accuracy: 0.663, Loss: 0.527
Epoch 4 Batch 4/269 - Train Accuracy: 0.658, Validation Accuracy: 0.675, Loss: 0.543
Epoch 4 Batch 5/269 - Train Accuracy: 0.659, Validation Accuracy: 0.669, Loss: 0.546
Epoch 4 Batch 6/269 - Train Accuracy: 0.672, Validation Accuracy: 0.674, Loss: 0.505
Epoch 4 Batch 7/269 - Train Accuracy: 0.671, Validation Accuracy: 0.677, Loss: 0.505
Epoch 4 Batch 8/269 - Train Accuracy: 0.657, Validation Accuracy: 0.682, Loss: 0.542
Epoch 4 Batch 9/269 - Train Accuracy: 0.666, Validation Accuracy: 0.684, Loss: 0.527
Epoch 4 Batch 10/269 - Train Accuracy: 0.669, Validation Accuracy: 0.681, Loss: 0.525
Epoch 4 Batch 11/269 - Train Accuracy: 0.674, Validation Accuracy: 0.681, Loss: 0.531
Epoch 4 Batch 12/269 - Train Accuracy: 0.668, Validation Accuracy: 0.677, Loss: 0.543
Epoch 4 Batch 13/269 - Train Accuracy: 0.684, Validation Accuracy: 0.674, Loss: 0.477
Epoch 4 Batch 14/269 - Train Accuracy: 0.667, Validation Accuracy: 0.676, Loss: 0.507
Epoch 4 Batch 15/269 - Train Accuracy: 0.664, Validation Accuracy: 0.673, Loss: 0.495
Epoch 4 Batch 16/269 - Train Accuracy: 0.675, Validation Accuracy: 0.673, Loss: 0.515
Epoch 4 Batch 17/269 - Train Accuracy: 0.685, Validation Accuracy: 0.674, Loss: 0.503
Epoch 4 Batch 18/269 - Train Accuracy: 0.659, Validation Accuracy: 0.676, Loss: 0.519
Epoch 4 Batch 19/269 - Train Accuracy: 0.701, Validation Accuracy: 0.677, Loss: 0.472
Epoch 4 Batch 20/269 - Train Accuracy: 0.663, Validation Accuracy: 0.680, Loss: 0.523
Epoch 4 Batch 21/269 - Train Accuracy: 0.650, Validation Accuracy: 0.670, Loss: 0.541
Epoch 4 Batch 22/269 - Train Accuracy: 0.690, Validation Accuracy: 0.673, Loss: 0.491
Epoch 4 Batch 23/269 - Train Accuracy: 0.684, Validation Accuracy: 0.681, Loss: 0.498
Epoch 4 Batch 24/269 - Train Accuracy: 0.675, Validation Accuracy: 0.672, Loss: 0.527
Epoch 4 Batch 25/269 - Train Accuracy: 0.670, Validation Accuracy: 0.682, Loss: 0.538
Epoch 4 Batch 26/269 - Train Accuracy: 0.701, Validation Accuracy: 0.678, Loss: 0.471
Epoch 4 Batch 27/269 - Train Accuracy: 0.665, Validation Accuracy: 0.666, Loss: 0.500
Epoch 4 Batch 28/269 - Train Accuracy: 0.636, Validation Accuracy: 0.686, Loss: 0.541
Epoch 4 Batch 29/269 - Train Accuracy: 0.673, Validation Accuracy: 0.677, Loss: 0.527
Epoch 4 Batch 30/269 - Train Accuracy: 0.686, Validation Accuracy: 0.671, Loss: 0.500
Epoch 4 Batch 31/269 - Train Accuracy: 0.694, Validation Accuracy: 0.683, Loss: 0.493
Epoch 4 Batch 32/269 - Train Accuracy: 0.686, Validation Accuracy: 0.680, Loss: 0.493
Epoch 4 Batch 33/269 - Train Accuracy: 0.693, Validation Accuracy: 0.674, Loss: 0.486
Epoch 4 Batch 34/269 - Train Accuracy: 0.676, Validation Accuracy: 0.678, Loss: 0.502
Epoch 4 Batch 35/269 - Train Accuracy: 0.679, Validation Accuracy: 0.677, Loss: 0.509
Epoch 4 Batch 36/269 - Train Accuracy: 0.670, Validation Accuracy: 0.668, Loss: 0.502
Epoch 4 Batch 37/269 - Train Accuracy: 0.699, Validation Accuracy: 0.677, Loss: 0.492
Epoch 4 Batch 38/269 - Train Accuracy: 0.679, Validation Accuracy: 0.682, Loss: 0.501
Epoch 4 Batch 39/269 - Train Accuracy: 0.679, Validation Accuracy: 0.686, Loss: 0.497
Epoch 4 Batch 40/269 - Train Accuracy: 0.661, Validation Accuracy: 0.673, Loss: 0.515
Epoch 4 Batch 41/269 - Train Accuracy: 0.683, Validation Accuracy: 0.690, Loss: 0.504
Epoch 4 Batch 42/269 - Train Accuracy: 0.714, Validation Accuracy: 0.688, Loss: 0.474
Epoch 4 Batch 43/269 - Train Accuracy: 0.675, Validation Accuracy: 0.680, Loss: 0.505
Epoch 4 Batch 44/269 - Train Accuracy: 0.664, Validation Accuracy: 0.669, Loss: 0.497
Epoch 4 Batch 45/269 - Train Accuracy: 0.673, Validation Accuracy: 0.684, Loss: 0.517
Epoch 4 Batch 46/269 - Train Accuracy: 0.674, Validation Accuracy: 0.676, Loss: 0.516
Epoch 4 Batch 47/269 - Train Accuracy: 0.691, Validation Accuracy: 0.675, Loss: 0.456
Epoch 4 Batch 48/269 - Train Accuracy: 0.687, Validation Accuracy: 0.684, Loss: 0.483
Epoch 4 Batch 49/269 - Train Accuracy: 0.685, Validation Accuracy: 0.681, Loss: 0.506
Epoch 4 Batch 50/269 - Train Accuracy: 0.643, Validation Accuracy: 0.673, Loss: 0.510
Epoch 4 Batch 51/269 - Train Accuracy: 0.671, Validation Accuracy: 0.680, Loss: 0.488
Epoch 4 Batch 52/269 - Train Accuracy: 0.674, Validation Accuracy: 0.684, Loss: 0.467
Epoch 4 Batch 53/269 - Train Accuracy: 0.675, Validation Accuracy: 0.674, Loss: 0.513
Epoch 4 Batch 54/269 - Train Accuracy: 0.684, Validation Accuracy: 0.681, Loss: 0.501
Epoch 4 Batch 55/269 - Train Accuracy: 0.702, Validation Accuracy: 0.684, Loss: 0.476
Epoch 4 Batch 56/269 - Train Accuracy: 0.684, Validation Accuracy: 0.682, Loss: 0.483
Epoch 4 Batch 57/269 - Train Accuracy: 0.689, Validation Accuracy: 0.684, Loss: 0.496
Epoch 4 Batch 58/269 - Train Accuracy: 0.693, Validation Accuracy: 0.686, Loss: 0.479
Epoch 4 Batch 59/269 - Train Accuracy: 0.705, Validation Accuracy: 0.682, Loss: 0.462
Epoch 4 Batch 60/269 - Train Accuracy: 0.699, Validation Accuracy: 0.683, Loss: 0.461
Epoch 4 Batch 61/269 - Train Accuracy: 0.709, Validation Accuracy: 0.684, Loss: 0.452
Epoch 4 Batch 62/269 - Train Accuracy: 0.707, Validation Accuracy: 0.680, Loss: 0.468
Epoch 4 Batch 63/269 - Train Accuracy: 0.682, Validation Accuracy: 0.686, Loss: 0.489
Epoch 4 Batch 64/269 - Train Accuracy: 0.671, Validation Accuracy: 0.685, Loss: 0.483
Epoch 4 Batch 65/269 - Train Accuracy: 0.683, Validation Accuracy: 0.679, Loss: 0.485
Epoch 4 Batch 66/269 - Train Accuracy: 0.693, Validation Accuracy: 0.682, Loss: 0.465
Epoch 4 Batch 67/269 - Train Accuracy: 0.690, Validation Accuracy: 0.678, Loss: 0.486
Epoch 4 Batch 68/269 - Train Accuracy: 0.676, Validation Accuracy: 0.681, Loss: 0.485
Epoch 4 Batch 69/269 - Train Accuracy: 0.649, Validation Accuracy: 0.683, Loss: 0.526
Epoch 4 Batch 70/269 - Train Accuracy: 0.697, Validation Accuracy: 0.679, Loss: 0.485
Epoch 4 Batch 71/269 - Train Accuracy: 0.668, Validation Accuracy: 0.679, Loss: 0.507
Epoch 4 Batch 72/269 - Train Accuracy: 0.688, Validation Accuracy: 0.681, Loss: 0.481
Epoch 4 Batch 73/269 - Train Accuracy: 0.694, Validation Accuracy: 0.687, Loss: 0.494
Epoch 4 Batch 74/269 - Train Accuracy: 0.689, Validation Accuracy: 0.688, Loss: 0.490
Epoch 4 Batch 75/269 - Train Accuracy: 0.701, Validation Accuracy: 0.678, Loss: 0.473
Epoch 4 Batch 76/269 - Train Accuracy: 0.675, Validation Accuracy: 0.680, Loss: 0.486
Epoch 4 Batch 77/269 - Train Accuracy: 0.693, Validation Accuracy: 0.682, Loss: 0.474
Epoch 4 Batch 78/269 - Train Accuracy: 0.699, Validation Accuracy: 0.676, Loss: 0.474
Epoch 4 Batch 79/269 - Train Accuracy: 0.678, Validation Accuracy: 0.680, Loss: 0.471
Epoch 4 Batch 80/269 - Train Accuracy: 0.689, Validation Accuracy: 0.676, Loss: 0.468
Epoch 4 Batch 81/269 - Train Accuracy: 0.687, Validation Accuracy: 0.678, Loss: 0.483
Epoch 4 Batch 82/269 - Train Accuracy: 0.692, Validation Accuracy: 0.680, Loss: 0.461
Epoch 4 Batch 83/269 - Train Accuracy: 0.688, Validation Accuracy: 0.686, Loss: 0.483
Epoch 4 Batch 84/269 - Train Accuracy: 0.692, Validation Accuracy: 0.689, Loss: 0.474
Epoch 4 Batch 85/269 - Train Accuracy: 0.682, Validation Accuracy: 0.681, Loss: 0.478
Epoch 4 Batch 86/269 - Train Accuracy: 0.691, Validation Accuracy: 0.687, Loss: 0.473
Epoch 4 Batch 87/269 - Train Accuracy: 0.688, Validation Accuracy: 0.685, Loss: 0.505
Epoch 4 Batch 88/269 - Train Accuracy: 0.687, Validation Accuracy: 0.696, Loss: 0.475
Epoch 4 Batch 89/269 - Train Accuracy: 0.703, Validation Accuracy: 0.686, Loss: 0.477
Epoch 4 Batch 90/269 - Train Accuracy: 0.659, Validation Accuracy: 0.690, Loss: 0.505
Epoch 4 Batch 91/269 - Train Accuracy: 0.719, Validation Accuracy: 0.689, Loss: 0.460
Epoch 4 Batch 92/269 - Train Accuracy: 0.707, Validation Accuracy: 0.688, Loss: 0.468
Epoch 4 Batch 93/269 - Train Accuracy: 0.694, Validation Accuracy: 0.688, Loss: 0.453
Epoch 4 Batch 94/269 - Train Accuracy: 0.678, Validation Accuracy: 0.689, Loss: 0.482
Epoch 4 Batch 95/269 - Train Accuracy: 0.692, Validation Accuracy: 0.690, Loss: 0.472
Epoch 4 Batch 96/269 - Train Accuracy: 0.684, Validation Accuracy: 0.688, Loss: 0.470
Epoch 4 Batch 97/269 - Train Accuracy: 0.704, Validation Accuracy: 0.694, Loss: 0.463
Epoch 4 Batch 98/269 - Train Accuracy: 0.707, Validation Accuracy: 0.698, Loss: 0.466
Epoch 4 Batch 99/269 - Train Accuracy: 0.683, Validation Accuracy: 0.696, Loss: 0.484
Epoch 4 Batch 100/269 - Train Accuracy: 0.695, Validation Accuracy: 0.694, Loss: 0.457
Epoch 4 Batch 101/269 - Train Accuracy: 0.665, Validation Accuracy: 0.700, Loss: 0.495
Epoch 4 Batch 102/269 - Train Accuracy: 0.686, Validation Accuracy: 0.691, Loss: 0.465
Epoch 4 Batch 103/269 - Train Accuracy: 0.702, Validation Accuracy: 0.688, Loss: 0.474
Epoch 4 Batch 104/269 - Train Accuracy: 0.682, Validation Accuracy: 0.693, Loss: 0.464
Epoch 4 Batch 105/269 - Train Accuracy: 0.690, Validation Accuracy: 0.693, Loss: 0.470
Epoch 4 Batch 106/269 - Train Accuracy: 0.685, Validation Accuracy: 0.685, Loss: 0.458
Epoch 4 Batch 107/269 - Train Accuracy: 0.673, Validation Accuracy: 0.690, Loss: 0.499
Epoch 4 Batch 108/269 - Train Accuracy: 0.686, Validation Accuracy: 0.688, Loss: 0.471
Epoch 4 Batch 109/269 - Train Accuracy: 0.678, Validation Accuracy: 0.691, Loss: 0.467
Epoch 4 Batch 110/269 - Train Accuracy: 0.693, Validation Accuracy: 0.692, Loss: 0.456
Epoch 4 Batch 111/269 - Train Accuracy: 0.689, Validation Accuracy: 0.694, Loss: 0.490
Epoch 4 Batch 112/269 - Train Accuracy: 0.677, Validation Accuracy: 0.692, Loss: 0.467
Epoch 4 Batch 113/269 - Train Accuracy: 0.699, Validation Accuracy: 0.689, Loss: 0.447
Epoch 4 Batch 114/269 - Train Accuracy: 0.689, Validation Accuracy: 0.684, Loss: 0.459
Epoch 4 Batch 115/269 - Train Accuracy: 0.680, Validation Accuracy: 0.685, Loss: 0.485
Epoch 4 Batch 116/269 - Train Accuracy: 0.703, Validation Accuracy: 0.687, Loss: 0.471
Epoch 4 Batch 117/269 - Train Accuracy: 0.700, Validation Accuracy: 0.689, Loss: 0.456
Epoch 4 Batch 118/269 - Train Accuracy: 0.701, Validation Accuracy: 0.689, Loss: 0.451
Epoch 4 Batch 119/269 - Train Accuracy: 0.679, Validation Accuracy: 0.692, Loss: 0.478
Epoch 4 Batch 120/269 - Train Accuracy: 0.691, Validation Accuracy: 0.693, Loss: 0.472
Epoch 4 Batch 121/269 - Train Accuracy: 0.699, Validation Accuracy: 0.694, Loss: 0.457
Epoch 4 Batch 122/269 - Train Accuracy: 0.710, Validation Accuracy: 0.700, Loss: 0.454
Epoch 4 Batch 123/269 - Train Accuracy: 0.685, Validation Accuracy: 0.703, Loss: 0.477
Epoch 4 Batch 124/269 - Train Accuracy: 0.691, Validation Accuracy: 0.691, Loss: 0.444
Epoch 4 Batch 125/269 - Train Accuracy: 0.697, Validation Accuracy: 0.694, Loss: 0.454
Epoch 4 Batch 126/269 - Train Accuracy: 0.696, Validation Accuracy: 0.681, Loss: 0.464
Epoch 4 Batch 127/269 - Train Accuracy: 0.683, Validation Accuracy: 0.690, Loss: 0.478
Epoch 4 Batch 128/269 - Train Accuracy: 0.702, Validation Accuracy: 0.696, Loss: 0.452
Epoch 4 Batch 129/269 - Train Accuracy: 0.688, Validation Accuracy: 0.694, Loss: 0.461
Epoch 4 Batch 130/269 - Train Accuracy: 0.669, Validation Accuracy: 0.692, Loss: 0.487
Epoch 4 Batch 131/269 - Train Accuracy: 0.672, Validation Accuracy: 0.695, Loss: 0.468
Epoch 4 Batch 132/269 - Train Accuracy: 0.692, Validation Accuracy: 0.693, Loss: 0.462
Epoch 4 Batch 133/269 - Train Accuracy: 0.719, Validation Accuracy: 0.693, Loss: 0.449
Epoch 4 Batch 134/269 - Train Accuracy: 0.679, Validation Accuracy: 0.692, Loss: 0.462
Epoch 4 Batch 135/269 - Train Accuracy: 0.673, Validation Accuracy: 0.701, Loss: 0.488
Epoch 4 Batch 136/269 - Train Accuracy: 0.682, Validation Accuracy: 0.704, Loss: 0.484
Epoch 4 Batch 137/269 - Train Accuracy: 0.684, Validation Accuracy: 0.696, Loss: 0.481
Epoch 4 Batch 138/269 - Train Accuracy: 0.709, Validation Accuracy: 0.697, Loss: 0.467
Epoch 4 Batch 139/269 - Train Accuracy: 0.704, Validation Accuracy: 0.703, Loss: 0.442
Epoch 4 Batch 140/269 - Train Accuracy: 0.709, Validation Accuracy: 0.696, Loss: 0.466
Epoch 4 Batch 141/269 - Train Accuracy: 0.699, Validation Accuracy: 0.695, Loss: 0.463
Epoch 4 Batch 142/269 - Train Accuracy: 0.705, Validation Accuracy: 0.701, Loss: 0.438
Epoch 4 Batch 143/269 - Train Accuracy: 0.696, Validation Accuracy: 0.706, Loss: 0.452
Epoch 4 Batch 144/269 - Train Accuracy: 0.711, Validation Accuracy: 0.703, Loss: 0.432
Epoch 4 Batch 145/269 - Train Accuracy: 0.704, Validation Accuracy: 0.700, Loss: 0.447
Epoch 4 Batch 146/269 - Train Accuracy: 0.704, Validation Accuracy: 0.696, Loss: 0.449
Epoch 4 Batch 147/269 - Train Accuracy: 0.710, Validation Accuracy: 0.699, Loss: 0.428
Epoch 4 Batch 148/269 - Train Accuracy: 0.698, Validation Accuracy: 0.697, Loss: 0.452
Epoch 4 Batch 149/269 - Train Accuracy: 0.685, Validation Accuracy: 0.691, Loss: 0.456
Epoch 4 Batch 150/269 - Train Accuracy: 0.703, Validation Accuracy: 0.699, Loss: 0.449
Epoch 4 Batch 151/269 - Train Accuracy: 0.718, Validation Accuracy: 0.694, Loss: 0.427
Epoch 4 Batch 152/269 - Train Accuracy: 0.697, Validation Accuracy: 0.694, Loss: 0.454
Epoch 4 Batch 153/269 - Train Accuracy: 0.702, Validation Accuracy: 0.696, Loss: 0.438
Epoch 4 Batch 154/269 - Train Accuracy: 0.707, Validation Accuracy: 0.700, Loss: 0.454
Epoch 4 Batch 155/269 - Train Accuracy: 0.714, Validation Accuracy: 0.698, Loss: 0.425
Epoch 4 Batch 156/269 - Train Accuracy: 0.679, Validation Accuracy: 0.688, Loss: 0.461
Epoch 4 Batch 157/269 - Train Accuracy: 0.691, Validation Accuracy: 0.696, Loss: 0.444
Epoch 4 Batch 158/269 - Train Accuracy: 0.694, Validation Accuracy: 0.700, Loss: 0.440
Epoch 4 Batch 159/269 - Train Accuracy: 0.704, Validation Accuracy: 0.697, Loss: 0.441
Epoch 4 Batch 160/269 - Train Accuracy: 0.707, Validation Accuracy: 0.695, Loss: 0.440
Epoch 4 Batch 161/269 - Train Accuracy: 0.688, Validation Accuracy: 0.702, Loss: 0.441
Epoch 4 Batch 162/269 - Train Accuracy: 0.719, Validation Accuracy: 0.707, Loss: 0.439
Epoch 4 Batch 163/269 - Train Accuracy: 0.704, Validation Accuracy: 0.710, Loss: 0.443
Epoch 4 Batch 164/269 - Train Accuracy: 0.712, Validation Accuracy: 0.702, Loss: 0.440
Epoch 4 Batch 165/269 - Train Accuracy: 0.710, Validation Accuracy: 0.702, Loss: 0.447
Epoch 4 Batch 166/269 - Train Accuracy: 0.716, Validation Accuracy: 0.704, Loss: 0.418
Epoch 4 Batch 167/269 - Train Accuracy: 0.708, Validation Accuracy: 0.708, Loss: 0.437
Epoch 4 Batch 168/269 - Train Accuracy: 0.705, Validation Accuracy: 0.712, Loss: 0.443
Epoch 4 Batch 169/269 - Train Accuracy: 0.710, Validation Accuracy: 0.704, Loss: 0.439
Epoch 4 Batch 170/269 - Train Accuracy: 0.698, Validation Accuracy: 0.707, Loss: 0.432
Epoch 4 Batch 171/269 - Train Accuracy: 0.728, Validation Accuracy: 0.707, Loss: 0.452
Epoch 4 Batch 172/269 - Train Accuracy: 0.697, Validation Accuracy: 0.709, Loss: 0.452
Epoch 4 Batch 173/269 - Train Accuracy: 0.710, Validation Accuracy: 0.706, Loss: 0.429
Epoch 4 Batch 174/269 - Train Accuracy: 0.695, Validation Accuracy: 0.704, Loss: 0.441
Epoch 4 Batch 175/269 - Train Accuracy: 0.696, Validation Accuracy: 0.701, Loss: 0.453
Epoch 4 Batch 176/269 - Train Accuracy: 0.695, Validation Accuracy: 0.713, Loss: 0.471
Epoch 4 Batch 177/269 - Train Accuracy: 0.715, Validation Accuracy: 0.699, Loss: 0.416
Epoch 4 Batch 178/269 - Train Accuracy: 0.699, Validation Accuracy: 0.695, Loss: 0.446
Epoch 4 Batch 179/269 - Train Accuracy: 0.698, Validation Accuracy: 0.702, Loss: 0.430
Epoch 4 Batch 180/269 - Train Accuracy: 0.711, Validation Accuracy: 0.706, Loss: 0.428
Epoch 4 Batch 181/269 - Train Accuracy: 0.700, Validation Accuracy: 0.711, Loss: 0.442
Epoch 4 Batch 182/269 - Train Accuracy: 0.706, Validation Accuracy: 0.702, Loss: 0.437
Epoch 4 Batch 183/269 - Train Accuracy: 0.746, Validation Accuracy: 0.707, Loss: 0.376
Epoch 4 Batch 184/269 - Train Accuracy: 0.705, Validation Accuracy: 0.712, Loss: 0.448
Epoch 4 Batch 185/269 - Train Accuracy: 0.728, Validation Accuracy: 0.715, Loss: 0.430
Epoch 4 Batch 186/269 - Train Accuracy: 0.704, Validation Accuracy: 0.714, Loss: 0.442
Epoch 4 Batch 187/269 - Train Accuracy: 0.730, Validation Accuracy: 0.714, Loss: 0.422
Epoch 4 Batch 188/269 - Train Accuracy: 0.710, Validation Accuracy: 0.715, Loss: 0.416
Epoch 4 Batch 189/269 - Train Accuracy: 0.711, Validation Accuracy: 0.702, Loss: 0.422
Epoch 4 Batch 190/269 - Train Accuracy: 0.706, Validation Accuracy: 0.708, Loss: 0.416
Epoch 4 Batch 191/269 - Train Accuracy: 0.711, Validation Accuracy: 0.708, Loss: 0.420
Epoch 4 Batch 192/269 - Train Accuracy: 0.732, Validation Accuracy: 0.713, Loss: 0.430
Epoch 4 Batch 193/269 - Train Accuracy: 0.716, Validation Accuracy: 0.714, Loss: 0.423
Epoch 4 Batch 194/269 - Train Accuracy: 0.701, Validation Accuracy: 0.700, Loss: 0.432
Epoch 4 Batch 195/269 - Train Accuracy: 0.721, Validation Accuracy: 0.703, Loss: 0.425
Epoch 4 Batch 196/269 - Train Accuracy: 0.710, Validation Accuracy: 0.708, Loss: 0.419
Epoch 4 Batch 197/269 - Train Accuracy: 0.688, Validation Accuracy: 0.715, Loss: 0.445
Epoch 4 Batch 198/269 - Train Accuracy: 0.697, Validation Accuracy: 0.723, Loss: 0.452
Epoch 4 Batch 199/269 - Train Accuracy: 0.715, Validation Accuracy: 0.725, Loss: 0.435
Epoch 4 Batch 200/269 - Train Accuracy: 0.710, Validation Accuracy: 0.719, Loss: 0.435
Epoch 4 Batch 201/269 - Train Accuracy: 0.714, Validation Accuracy: 0.711, Loss: 0.426
Epoch 4 Batch 202/269 - Train Accuracy: 0.709, Validation Accuracy: 0.709, Loss: 0.425
Epoch 4 Batch 203/269 - Train Accuracy: 0.703, Validation Accuracy: 0.708, Loss: 0.451
Epoch 4 Batch 204/269 - Train Accuracy: 0.708, Validation Accuracy: 0.721, Loss: 0.452
Epoch 4 Batch 205/269 - Train Accuracy: 0.732, Validation Accuracy: 0.722, Loss: 0.437
Epoch 4 Batch 206/269 - Train Accuracy: 0.688, Validation Accuracy: 0.710, Loss: 0.452
Epoch 4 Batch 207/269 - Train Accuracy: 0.713, Validation Accuracy: 0.707, Loss: 0.415
Epoch 4 Batch 208/269 - Train Accuracy: 0.709, Validation Accuracy: 0.713, Loss: 0.440
Epoch 4 Batch 209/269 - Train Accuracy: 0.722, Validation Accuracy: 0.711, Loss: 0.430
Epoch 4 Batch 210/269 - Train Accuracy: 0.723, Validation Accuracy: 0.706, Loss: 0.413
Epoch 4 Batch 211/269 - Train Accuracy: 0.716, Validation Accuracy: 0.716, Loss: 0.427
Epoch 4 Batch 212/269 - Train Accuracy: 0.714, Validation Accuracy: 0.714, Loss: 0.418
Epoch 4 Batch 213/269 - Train Accuracy: 0.714, Validation Accuracy: 0.709, Loss: 0.427
Epoch 4 Batch 214/269 - Train Accuracy: 0.711, Validation Accuracy: 0.706, Loss: 0.438
Epoch 4 Batch 215/269 - Train Accuracy: 0.741, Validation Accuracy: 0.711, Loss: 0.399
Epoch 4 Batch 216/269 - Train Accuracy: 0.665, Validation Accuracy: 0.697, Loss: 0.456
Epoch 4 Batch 217/269 - Train Accuracy: 0.691, Validation Accuracy: 0.702, Loss: 0.452
Epoch 4 Batch 218/269 - Train Accuracy: 0.698, Validation Accuracy: 0.710, Loss: 0.448
Epoch 4 Batch 219/269 - Train Accuracy: 0.713, Validation Accuracy: 0.705, Loss: 0.444
Epoch 4 Batch 220/269 - Train Accuracy: 0.723, Validation Accuracy: 0.711, Loss: 0.403
Epoch 4 Batch 221/269 - Train Accuracy: 0.713, Validation Accuracy: 0.706, Loss: 0.423
Epoch 4 Batch 222/269 - Train Accuracy: 0.737, Validation Accuracy: 0.715, Loss: 0.411
Epoch 4 Batch 223/269 - Train Accuracy: 0.728, Validation Accuracy: 0.721, Loss: 0.412
Epoch 4 Batch 224/269 - Train Accuracy: 0.709, Validation Accuracy: 0.709, Loss: 0.431
Epoch 4 Batch 225/269 - Train Accuracy: 0.725, Validation Accuracy: 0.720, Loss: 0.433
Epoch 4 Batch 226/269 - Train Accuracy: 0.732, Validation Accuracy: 0.713, Loss: 0.407
Epoch 4 Batch 227/269 - Train Accuracy: 0.767, Validation Accuracy: 0.726, Loss: 0.383
Epoch 4 Batch 228/269 - Train Accuracy: 0.722, Validation Accuracy: 0.718, Loss: 0.417
Epoch 4 Batch 229/269 - Train Accuracy: 0.711, Validation Accuracy: 0.719, Loss: 0.412
Epoch 4 Batch 230/269 - Train Accuracy: 0.725, Validation Accuracy: 0.718, Loss: 0.416
Epoch 4 Batch 231/269 - Train Accuracy: 0.700, Validation Accuracy: 0.720, Loss: 0.433
Epoch 4 Batch 232/269 - Train Accuracy: 0.711, Validation Accuracy: 0.716, Loss: 0.430
Epoch 4 Batch 233/269 - Train Accuracy: 0.734, Validation Accuracy: 0.726, Loss: 0.415
Epoch 4 Batch 234/269 - Train Accuracy: 0.718, Validation Accuracy: 0.720, Loss: 0.415
Epoch 4 Batch 235/269 - Train Accuracy: 0.735, Validation Accuracy: 0.720, Loss: 0.407
Epoch 4 Batch 236/269 - Train Accuracy: 0.709, Validation Accuracy: 0.722, Loss: 0.407
Epoch 4 Batch 237/269 - Train Accuracy: 0.723, Validation Accuracy: 0.710, Loss: 0.413
Epoch 4 Batch 238/269 - Train Accuracy: 0.739, Validation Accuracy: 0.717, Loss: 0.403
Epoch 4 Batch 239/269 - Train Accuracy: 0.708, Validation Accuracy: 0.721, Loss: 0.412
Epoch 4 Batch 240/269 - Train Accuracy: 0.747, Validation Accuracy: 0.719, Loss: 0.374
Epoch 4 Batch 241/269 - Train Accuracy: 0.742, Validation Accuracy: 0.712, Loss: 0.419
Epoch 4 Batch 242/269 - Train Accuracy: 0.727, Validation Accuracy: 0.719, Loss: 0.405
Epoch 4 Batch 243/269 - Train Accuracy: 0.740, Validation Accuracy: 0.727, Loss: 0.394
Epoch 4 Batch 244/269 - Train Accuracy: 0.721, Validation Accuracy: 0.720, Loss: 0.408
Epoch 4 Batch 245/269 - Train Accuracy: 0.701, Validation Accuracy: 0.717, Loss: 0.426
Epoch 4 Batch 246/269 - Train Accuracy: 0.715, Validation Accuracy: 0.710, Loss: 0.408
Epoch 4 Batch 247/269 - Train Accuracy: 0.707, Validation Accuracy: 0.718, Loss: 0.425
Epoch 4 Batch 248/269 - Train Accuracy: 0.718, Validation Accuracy: 0.728, Loss: 0.407
Epoch 4 Batch 249/269 - Train Accuracy: 0.737, Validation Accuracy: 0.735, Loss: 0.388
Epoch 4 Batch 250/269 - Train Accuracy: 0.733, Validation Accuracy: 0.731, Loss: 0.417
Epoch 4 Batch 251/269 - Train Accuracy: 0.750, Validation Accuracy: 0.721, Loss: 0.398
Epoch 4 Batch 252/269 - Train Accuracy: 0.711, Validation Accuracy: 0.714, Loss: 0.416
Epoch 4 Batch 253/269 - Train Accuracy: 0.718, Validation Accuracy: 0.727, Loss: 0.423
Epoch 4 Batch 254/269 - Train Accuracy: 0.722, Validation Accuracy: 0.711, Loss: 0.409
Epoch 4 Batch 255/269 - Train Accuracy: 0.738, Validation Accuracy: 0.729, Loss: 0.406
Epoch 4 Batch 256/269 - Train Accuracy: 0.708, Validation Accuracy: 0.714, Loss: 0.410
Epoch 4 Batch 257/269 - Train Accuracy: 0.700, Validation Accuracy: 0.721, Loss: 0.417
Epoch 4 Batch 258/269 - Train Accuracy: 0.737, Validation Accuracy: 0.721, Loss: 0.411
Epoch 4 Batch 259/269 - Train Accuracy: 0.728, Validation Accuracy: 0.722, Loss: 0.412
Epoch 4 Batch 260/269 - Train Accuracy: 0.701, Validation Accuracy: 0.709, Loss: 0.423
Epoch 4 Batch 261/269 - Train Accuracy: 0.699, Validation Accuracy: 0.715, Loss: 0.428
Epoch 4 Batch 262/269 - Train Accuracy: 0.723, Validation Accuracy: 0.724, Loss: 0.410
Epoch 4 Batch 263/269 - Train Accuracy: 0.734, Validation Accuracy: 0.721, Loss: 0.420
Epoch 4 Batch 264/269 - Train Accuracy: 0.703, Validation Accuracy: 0.724, Loss: 0.421
Epoch 4 Batch 265/269 - Train Accuracy: 0.721, Validation Accuracy: 0.720, Loss: 0.425
Epoch 4 Batch 266/269 - Train Accuracy: 0.735, Validation Accuracy: 0.726, Loss: 0.401
Epoch 4 Batch 267/269 - Train Accuracy: 0.729, Validation Accuracy: 0.727, Loss: 0.411
Epoch 5 Batch 0/269 - Train Accuracy: 0.708, Validation Accuracy: 0.716, Loss: 0.433
Epoch 5 Batch 1/269 - Train Accuracy: 0.743, Validation Accuracy: 0.733, Loss: 0.427
Epoch 5 Batch 2/269 - Train Accuracy: 0.732, Validation Accuracy: 0.737, Loss: 0.407
Epoch 5 Batch 3/269 - Train Accuracy: 0.717, Validation Accuracy: 0.714, Loss: 0.415
Epoch 5 Batch 4/269 - Train Accuracy: 0.715, Validation Accuracy: 0.725, Loss: 0.438
Epoch 5 Batch 5/269 - Train Accuracy: 0.713, Validation Accuracy: 0.725, Loss: 0.432
Epoch 5 Batch 6/269 - Train Accuracy: 0.726, Validation Accuracy: 0.721, Loss: 0.387
Epoch 5 Batch 7/269 - Train Accuracy: 0.730, Validation Accuracy: 0.728, Loss: 0.396
Epoch 5 Batch 8/269 - Train Accuracy: 0.727, Validation Accuracy: 0.729, Loss: 0.424
Epoch 5 Batch 9/269 - Train Accuracy: 0.732, Validation Accuracy: 0.737, Loss: 0.410
Epoch 5 Batch 10/269 - Train Accuracy: 0.729, Validation Accuracy: 0.725, Loss: 0.411
Epoch 5 Batch 11/269 - Train Accuracy: 0.728, Validation Accuracy: 0.727, Loss: 0.414
Epoch 5 Batch 12/269 - Train Accuracy: 0.727, Validation Accuracy: 0.720, Loss: 0.427
Epoch 5 Batch 13/269 - Train Accuracy: 0.744, Validation Accuracy: 0.737, Loss: 0.374
Epoch 5 Batch 14/269 - Train Accuracy: 0.713, Validation Accuracy: 0.722, Loss: 0.396
Epoch 5 Batch 15/269 - Train Accuracy: 0.710, Validation Accuracy: 0.719, Loss: 0.385
Epoch 5 Batch 16/269 - Train Accuracy: 0.731, Validation Accuracy: 0.734, Loss: 0.405
Epoch 5 Batch 17/269 - Train Accuracy: 0.743, Validation Accuracy: 0.736, Loss: 0.384
Epoch 5 Batch 18/269 - Train Accuracy: 0.709, Validation Accuracy: 0.729, Loss: 0.408
Epoch 5 Batch 19/269 - Train Accuracy: 0.748, Validation Accuracy: 0.730, Loss: 0.370
Epoch 5 Batch 20/269 - Train Accuracy: 0.722, Validation Accuracy: 0.734, Loss: 0.403
Epoch 5 Batch 21/269 - Train Accuracy: 0.713, Validation Accuracy: 0.723, Loss: 0.425
Epoch 5 Batch 22/269 - Train Accuracy: 0.740, Validation Accuracy: 0.730, Loss: 0.381
Epoch 5 Batch 23/269 - Train Accuracy: 0.737, Validation Accuracy: 0.728, Loss: 0.388
Epoch 5 Batch 24/269 - Train Accuracy: 0.715, Validation Accuracy: 0.734, Loss: 0.414
Epoch 5 Batch 25/269 - Train Accuracy: 0.731, Validation Accuracy: 0.739, Loss: 0.426
Epoch 5 Batch 26/269 - Train Accuracy: 0.742, Validation Accuracy: 0.735, Loss: 0.367
Epoch 5 Batch 27/269 - Train Accuracy: 0.718, Validation Accuracy: 0.727, Loss: 0.388
Epoch 5 Batch 28/269 - Train Accuracy: 0.700, Validation Accuracy: 0.740, Loss: 0.422
Epoch 5 Batch 29/269 - Train Accuracy: 0.735, Validation Accuracy: 0.732, Loss: 0.411
Epoch 5 Batch 30/269 - Train Accuracy: 0.735, Validation Accuracy: 0.731, Loss: 0.390
Epoch 5 Batch 31/269 - Train Accuracy: 0.740, Validation Accuracy: 0.717, Loss: 0.388
Epoch 5 Batch 32/269 - Train Accuracy: 0.738, Validation Accuracy: 0.733, Loss: 0.388
Epoch 5 Batch 33/269 - Train Accuracy: 0.745, Validation Accuracy: 0.725, Loss: 0.377
Epoch 5 Batch 34/269 - Train Accuracy: 0.724, Validation Accuracy: 0.738, Loss: 0.393
Epoch 5 Batch 35/269 - Train Accuracy: 0.722, Validation Accuracy: 0.725, Loss: 0.396
Epoch 5 Batch 36/269 - Train Accuracy: 0.716, Validation Accuracy: 0.734, Loss: 0.389
Epoch 5 Batch 37/269 - Train Accuracy: 0.751, Validation Accuracy: 0.740, Loss: 0.388
Epoch 5 Batch 38/269 - Train Accuracy: 0.740, Validation Accuracy: 0.749, Loss: 0.387
Epoch 5 Batch 39/269 - Train Accuracy: 0.735, Validation Accuracy: 0.733, Loss: 0.389
Epoch 5 Batch 40/269 - Train Accuracy: 0.720, Validation Accuracy: 0.743, Loss: 0.406
Epoch 5 Batch 41/269 - Train Accuracy: 0.739, Validation Accuracy: 0.749, Loss: 0.393
Epoch 5 Batch 42/269 - Train Accuracy: 0.762, Validation Accuracy: 0.748, Loss: 0.370
Epoch 5 Batch 43/269 - Train Accuracy: 0.734, Validation Accuracy: 0.738, Loss: 0.395
Epoch 5 Batch 44/269 - Train Accuracy: 0.738, Validation Accuracy: 0.740, Loss: 0.390
Epoch 5 Batch 45/269 - Train Accuracy: 0.725, Validation Accuracy: 0.743, Loss: 0.399
Epoch 5 Batch 46/269 - Train Accuracy: 0.734, Validation Accuracy: 0.744, Loss: 0.398
Epoch 5 Batch 47/269 - Train Accuracy: 0.758, Validation Accuracy: 0.742, Loss: 0.359
Epoch 5 Batch 48/269 - Train Accuracy: 0.764, Validation Accuracy: 0.736, Loss: 0.374
Epoch 5 Batch 49/269 - Train Accuracy: 0.722, Validation Accuracy: 0.737, Loss: 0.394
Epoch 5 Batch 50/269 - Train Accuracy: 0.702, Validation Accuracy: 0.738, Loss: 0.410
Epoch 5 Batch 51/269 - Train Accuracy: 0.749, Validation Accuracy: 0.737, Loss: 0.387
Epoch 5 Batch 52/269 - Train Accuracy: 0.735, Validation Accuracy: 0.737, Loss: 0.363
Epoch 5 Batch 53/269 - Train Accuracy: 0.724, Validation Accuracy: 0.742, Loss: 0.410
Epoch 5 Batch 54/269 - Train Accuracy: 0.742, Validation Accuracy: 0.742, Loss: 0.398
Epoch 5 Batch 55/269 - Train Accuracy: 0.759, Validation Accuracy: 0.737, Loss: 0.372
Epoch 5 Batch 56/269 - Train Accuracy: 0.735, Validation Accuracy: 0.740, Loss: 0.385
Epoch 5 Batch 57/269 - Train Accuracy: 0.754, Validation Accuracy: 0.741, Loss: 0.395
Epoch 5 Batch 58/269 - Train Accuracy: 0.741, Validation Accuracy: 0.735, Loss: 0.374
Epoch 5 Batch 59/269 - Train Accuracy: 0.751, Validation Accuracy: 0.734, Loss: 0.358
Epoch 5 Batch 60/269 - Train Accuracy: 0.752, Validation Accuracy: 0.738, Loss: 0.363
Epoch 5 Batch 61/269 - Train Accuracy: 0.761, Validation Accuracy: 0.743, Loss: 0.355
Epoch 5 Batch 62/269 - Train Accuracy: 0.751, Validation Accuracy: 0.742, Loss: 0.363
Epoch 5 Batch 63/269 - Train Accuracy: 0.744, Validation Accuracy: 0.749, Loss: 0.391
Epoch 5 Batch 64/269 - Train Accuracy: 0.747, Validation Accuracy: 0.753, Loss: 0.373
Epoch 5 Batch 65/269 - Train Accuracy: 0.713, Validation Accuracy: 0.749, Loss: 0.379
Epoch 5 Batch 66/269 - Train Accuracy: 0.755, Validation Accuracy: 0.743, Loss: 0.371
Epoch 5 Batch 67/269 - Train Accuracy: 0.757, Validation Accuracy: 0.747, Loss: 0.387
Epoch 5 Batch 68/269 - Train Accuracy: 0.733, Validation Accuracy: 0.740, Loss: 0.381
Epoch 5 Batch 69/269 - Train Accuracy: 0.714, Validation Accuracy: 0.747, Loss: 0.412
Epoch 5 Batch 70/269 - Train Accuracy: 0.746, Validation Accuracy: 0.743, Loss: 0.384
Epoch 5 Batch 71/269 - Train Accuracy: 0.737, Validation Accuracy: 0.744, Loss: 0.400
Epoch 5 Batch 72/269 - Train Accuracy: 0.742, Validation Accuracy: 0.747, Loss: 0.376
Epoch 5 Batch 73/269 - Train Accuracy: 0.751, Validation Accuracy: 0.747, Loss: 0.384
Epoch 5 Batch 74/269 - Train Accuracy: 0.748, Validation Accuracy: 0.751, Loss: 0.385
Epoch 5 Batch 75/269 - Train Accuracy: 0.758, Validation Accuracy: 0.748, Loss: 0.372
Epoch 5 Batch 76/269 - Train Accuracy: 0.730, Validation Accuracy: 0.747, Loss: 0.378
Epoch 5 Batch 77/269 - Train Accuracy: 0.755, Validation Accuracy: 0.756, Loss: 0.374
Epoch 5 Batch 78/269 - Train Accuracy: 0.757, Validation Accuracy: 0.753, Loss: 0.373
Epoch 5 Batch 79/269 - Train Accuracy: 0.745, Validation Accuracy: 0.750, Loss: 0.366
Epoch 5 Batch 80/269 - Train Accuracy: 0.746, Validation Accuracy: 0.749, Loss: 0.359
Epoch 5 Batch 81/269 - Train Accuracy: 0.740, Validation Accuracy: 0.748, Loss: 0.388
Epoch 5 Batch 82/269 - Train Accuracy: 0.762, Validation Accuracy: 0.757, Loss: 0.358
Epoch 5 Batch 83/269 - Train Accuracy: 0.748, Validation Accuracy: 0.753, Loss: 0.377
Epoch 5 Batch 84/269 - Train Accuracy: 0.752, Validation Accuracy: 0.752, Loss: 0.365
Epoch 5 Batch 85/269 - Train Accuracy: 0.744, Validation Accuracy: 0.751, Loss: 0.368
Epoch 5 Batch 86/269 - Train Accuracy: 0.749, Validation Accuracy: 0.755, Loss: 0.365
Epoch 5 Batch 87/269 - Train Accuracy: 0.729, Validation Accuracy: 0.756, Loss: 0.399
Epoch 5 Batch 88/269 - Train Accuracy: 0.743, Validation Accuracy: 0.748, Loss: 0.371
Epoch 5 Batch 89/269 - Train Accuracy: 0.755, Validation Accuracy: 0.748, Loss: 0.368
Epoch 5 Batch 90/269 - Train Accuracy: 0.725, Validation Accuracy: 0.747, Loss: 0.392
Epoch 5 Batch 91/269 - Train Accuracy: 0.763, Validation Accuracy: 0.742, Loss: 0.356
Epoch 5 Batch 92/269 - Train Accuracy: 0.769, Validation Accuracy: 0.739, Loss: 0.361
Epoch 5 Batch 93/269 - Train Accuracy: 0.768, Validation Accuracy: 0.755, Loss: 0.351
Epoch 5 Batch 94/269 - Train Accuracy: 0.736, Validation Accuracy: 0.752, Loss: 0.376
Epoch 5 Batch 95/269 - Train Accuracy: 0.733, Validation Accuracy: 0.741, Loss: 0.366
Epoch 5 Batch 96/269 - Train Accuracy: 0.753, Validation Accuracy: 0.749, Loss: 0.371
Epoch 5 Batch 97/269 - Train Accuracy: 0.749, Validation Accuracy: 0.742, Loss: 0.371
Epoch 5 Batch 98/269 - Train Accuracy: 0.745, Validation Accuracy: 0.748, Loss: 0.368
Epoch 5 Batch 99/269 - Train Accuracy: 0.740, Validation Accuracy: 0.755, Loss: 0.378
Epoch 5 Batch 100/269 - Train Accuracy: 0.749, Validation Accuracy: 0.741, Loss: 0.360
Epoch 5 Batch 101/269 - Train Accuracy: 0.724, Validation Accuracy: 0.752, Loss: 0.394
Epoch 5 Batch 102/269 - Train Accuracy: 0.747, Validation Accuracy: 0.751, Loss: 0.366
Epoch 5 Batch 103/269 - Train Accuracy: 0.750, Validation Accuracy: 0.747, Loss: 0.379
Epoch 5 Batch 104/269 - Train Accuracy: 0.747, Validation Accuracy: 0.747, Loss: 0.364
Epoch 5 Batch 105/269 - Train Accuracy: 0.747, Validation Accuracy: 0.753, Loss: 0.362
Epoch 5 Batch 106/269 - Train Accuracy: 0.746, Validation Accuracy: 0.752, Loss: 0.362
Epoch 5 Batch 107/269 - Train Accuracy: 0.713, Validation Accuracy: 0.742, Loss: 0.398
Epoch 5 Batch 108/269 - Train Accuracy: 0.746, Validation Accuracy: 0.752, Loss: 0.377
Epoch 5 Batch 109/269 - Train Accuracy: 0.744, Validation Accuracy: 0.755, Loss: 0.369
Epoch 5 Batch 110/269 - Train Accuracy: 0.732, Validation Accuracy: 0.744, Loss: 0.358
Epoch 5 Batch 111/269 - Train Accuracy: 0.746, Validation Accuracy: 0.744, Loss: 0.397
Epoch 5 Batch 112/269 - Train Accuracy: 0.746, Validation Accuracy: 0.744, Loss: 0.373
Epoch 5 Batch 113/269 - Train Accuracy: 0.753, Validation Accuracy: 0.745, Loss: 0.347
Epoch 5 Batch 114/269 - Train Accuracy: 0.755, Validation Accuracy: 0.742, Loss: 0.364
Epoch 5 Batch 115/269 - Train Accuracy: 0.737, Validation Accuracy: 0.756, Loss: 0.379
Epoch 5 Batch 116/269 - Train Accuracy: 0.753, Validation Accuracy: 0.753, Loss: 0.375
Epoch 5 Batch 117/269 - Train Accuracy: 0.752, Validation Accuracy: 0.755, Loss: 0.361
Epoch 5 Batch 118/269 - Train Accuracy: 0.765, Validation Accuracy: 0.752, Loss: 0.354
Epoch 5 Batch 119/269 - Train Accuracy: 0.746, Validation Accuracy: 0.749, Loss: 0.383
Epoch 5 Batch 120/269 - Train Accuracy: 0.750, Validation Accuracy: 0.748, Loss: 0.371
Epoch 5 Batch 121/269 - Train Accuracy: 0.748, Validation Accuracy: 0.749, Loss: 0.356
Epoch 5 Batch 122/269 - Train Accuracy: 0.769, Validation Accuracy: 0.750, Loss: 0.356
Epoch 5 Batch 123/269 - Train Accuracy: 0.752, Validation Accuracy: 0.754, Loss: 0.377
Epoch 5 Batch 124/269 - Train Accuracy: 0.765, Validation Accuracy: 0.748, Loss: 0.352
Epoch 5 Batch 125/269 - Train Accuracy: 0.763, Validation Accuracy: 0.744, Loss: 0.353
Epoch 5 Batch 126/269 - Train Accuracy: 0.755, Validation Accuracy: 0.751, Loss: 0.353
Epoch 5 Batch 127/269 - Train Accuracy: 0.749, Validation Accuracy: 0.744, Loss: 0.368
Epoch 5 Batch 128/269 - Train Accuracy: 0.767, Validation Accuracy: 0.756, Loss: 0.362
Epoch 5 Batch 129/269 - Train Accuracy: 0.755, Validation Accuracy: 0.748, Loss: 0.360
Epoch 5 Batch 130/269 - Train Accuracy: 0.746, Validation Accuracy: 0.753, Loss: 0.375
Epoch 5 Batch 131/269 - Train Accuracy: 0.751, Validation Accuracy: 0.758, Loss: 0.366
Epoch 5 Batch 132/269 - Train Accuracy: 0.744, Validation Accuracy: 0.758, Loss: 0.369
Epoch 5 Batch 133/269 - Train Accuracy: 0.765, Validation Accuracy: 0.752, Loss: 0.342
Epoch 5 Batch 134/269 - Train Accuracy: 0.740, Validation Accuracy: 0.757, Loss: 0.362
Epoch 5 Batch 135/269 - Train Accuracy: 0.743, Validation Accuracy: 0.746, Loss: 0.381
Epoch 5 Batch 136/269 - Train Accuracy: 0.738, Validation Accuracy: 0.755, Loss: 0.379
Epoch 5 Batch 137/269 - Train Accuracy: 0.754, Validation Accuracy: 0.747, Loss: 0.375
Epoch 5 Batch 138/269 - Train Accuracy: 0.766, Validation Accuracy: 0.757, Loss: 0.362
Epoch 5 Batch 139/269 - Train Accuracy: 0.761, Validation Accuracy: 0.750, Loss: 0.343
Epoch 5 Batch 140/269 - Train Accuracy: 0.764, Validation Accuracy: 0.750, Loss: 0.365
Epoch 5 Batch 141/269 - Train Accuracy: 0.759, Validation Accuracy: 0.751, Loss: 0.363
Epoch 5 Batch 142/269 - Train Accuracy: 0.763, Validation Accuracy: 0.750, Loss: 0.351
Epoch 5 Batch 143/269 - Train Accuracy: 0.774, Validation Accuracy: 0.756, Loss: 0.348
Epoch 5 Batch 144/269 - Train Accuracy: 0.782, Validation Accuracy: 0.753, Loss: 0.340
Epoch 5 Batch 145/269 - Train Accuracy: 0.760, Validation Accuracy: 0.746, Loss: 0.349
Epoch 5 Batch 146/269 - Train Accuracy: 0.763, Validation Accuracy: 0.763, Loss: 0.354
Epoch 5 Batch 147/269 - Train Accuracy: 0.778, Validation Accuracy: 0.753, Loss: 0.342
Epoch 5 Batch 148/269 - Train Accuracy: 0.751, Validation Accuracy: 0.739, Loss: 0.349
Epoch 5 Batch 149/269 - Train Accuracy: 0.754, Validation Accuracy: 0.758, Loss: 0.363
Epoch 5 Batch 150/269 - Train Accuracy: 0.748, Validation Accuracy: 0.745, Loss: 0.363
Epoch 5 Batch 151/269 - Train Accuracy: 0.770, Validation Accuracy: 0.747, Loss: 0.339
Epoch 5 Batch 152/269 - Train Accuracy: 0.755, Validation Accuracy: 0.752, Loss: 0.354
Epoch 5 Batch 153/269 - Train Accuracy: 0.763, Validation Accuracy: 0.749, Loss: 0.364
Epoch 5 Batch 154/269 - Train Accuracy: 0.777, Validation Accuracy: 0.766, Loss: 0.372
Epoch 5 Batch 155/269 - Train Accuracy: 0.764, Validation Accuracy: 0.765, Loss: 0.338
Epoch 5 Batch 156/269 - Train Accuracy: 0.734, Validation Accuracy: 0.743, Loss: 0.365
Epoch 5 Batch 157/269 - Train Accuracy: 0.754, Validation Accuracy: 0.752, Loss: 0.363
Epoch 5 Batch 158/269 - Train Accuracy: 0.760, Validation Accuracy: 0.758, Loss: 0.353
Epoch 5 Batch 159/269 - Train Accuracy: 0.761, Validation Accuracy: 0.750, Loss: 0.347
Epoch 5 Batch 160/269 - Train Accuracy: 0.777, Validation Accuracy: 0.761, Loss: 0.348
Epoch 5 Batch 161/269 - Train Accuracy: 0.753, Validation Accuracy: 0.766, Loss: 0.347
Epoch 5 Batch 162/269 - Train Accuracy: 0.771, Validation Accuracy: 0.748, Loss: 0.341
Epoch 5 Batch 163/269 - Train Accuracy: 0.762, Validation Accuracy: 0.758, Loss: 0.351
Epoch 5 Batch 164/269 - Train Accuracy: 0.785, Validation Accuracy: 0.760, Loss: 0.341
Epoch 5 Batch 165/269 - Train Accuracy: 0.768, Validation Accuracy: 0.744, Loss: 0.348
Epoch 5 Batch 166/269 - Train Accuracy: 0.779, Validation Accuracy: 0.762, Loss: 0.334
Epoch 5 Batch 167/269 - Train Accuracy: 0.765, Validation Accuracy: 0.755, Loss: 0.347
Epoch 5 Batch 168/269 - Train Accuracy: 0.753, Validation Accuracy: 0.747, Loss: 0.353
Epoch 5 Batch 169/269 - Train Accuracy: 0.761, Validation Accuracy: 0.753, Loss: 0.345
Epoch 5 Batch 170/269 - Train Accuracy: 0.758, Validation Accuracy: 0.765, Loss: 0.342
Epoch 5 Batch 171/269 - Train Accuracy: 0.772, Validation Accuracy: 0.745, Loss: 0.353
Epoch 5 Batch 172/269 - Train Accuracy: 0.769, Validation Accuracy: 0.771, Loss: 0.359
Epoch 5 Batch 173/269 - Train Accuracy: 0.767, Validation Accuracy: 0.760, Loss: 0.340
Epoch 5 Batch 174/269 - Train Accuracy: 0.746, Validation Accuracy: 0.752, Loss: 0.348
Epoch 5 Batch 175/269 - Train Accuracy: 0.756, Validation Accuracy: 0.760, Loss: 0.366
Epoch 5 Batch 176/269 - Train Accuracy: 0.752, Validation Accuracy: 0.757, Loss: 0.373
Epoch 5 Batch 177/269 - Train Accuracy: 0.776, Validation Accuracy: 0.760, Loss: 0.331
Epoch 5 Batch 178/269 - Train Accuracy: 0.777, Validation Accuracy: 0.758, Loss: 0.346
Epoch 5 Batch 179/269 - Train Accuracy: 0.748, Validation Accuracy: 0.761, Loss: 0.347
Epoch 5 Batch 180/269 - Train Accuracy: 0.771, Validation Accuracy: 0.753, Loss: 0.335
Epoch 5 Batch 181/269 - Train Accuracy: 0.756, Validation Accuracy: 0.763, Loss: 0.351
Epoch 5 Batch 182/269 - Train Accuracy: 0.785, Validation Accuracy: 0.757, Loss: 0.351
Epoch 5 Batch 183/269 - Train Accuracy: 0.799, Validation Accuracy: 0.753, Loss: 0.301
Epoch 5 Batch 184/269 - Train Accuracy: 0.762, Validation Accuracy: 0.760, Loss: 0.354
Epoch 5 Batch 185/269 - Train Accuracy: 0.800, Validation Accuracy: 0.766, Loss: 0.342
Epoch 5 Batch 186/269 - Train Accuracy: 0.759, Validation Accuracy: 0.752, Loss: 0.344
Epoch 5 Batch 187/269 - Train Accuracy: 0.774, Validation Accuracy: 0.765, Loss: 0.339
Epoch 5 Batch 188/269 - Train Accuracy: 0.788, Validation Accuracy: 0.770, Loss: 0.330
Epoch 5 Batch 189/269 - Train Accuracy: 0.758, Validation Accuracy: 0.751, Loss: 0.335
Epoch 5 Batch 190/269 - Train Accuracy: 0.765, Validation Accuracy: 0.759, Loss: 0.337
Epoch 5 Batch 191/269 - Train Accuracy: 0.763, Validation Accuracy: 0.776, Loss: 0.343
Epoch 5 Batch 192/269 - Train Accuracy: 0.762, Validation Accuracy: 0.750, Loss: 0.343
Epoch 5 Batch 193/269 - Train Accuracy: 0.776, Validation Accuracy: 0.762, Loss: 0.337
Epoch 5 Batch 194/269 - Train Accuracy: 0.764, Validation Accuracy: 0.754, Loss: 0.352
Epoch 5 Batch 195/269 - Train Accuracy: 0.775, Validation Accuracy: 0.749, Loss: 0.339
Epoch 5 Batch 196/269 - Train Accuracy: 0.765, Validation Accuracy: 0.765, Loss: 0.341
Epoch 5 Batch 197/269 - Train Accuracy: 0.760, Validation Accuracy: 0.768, Loss: 0.357
Epoch 5 Batch 198/269 - Train Accuracy: 0.741, Validation Accuracy: 0.758, Loss: 0.366
Epoch 5 Batch 199/269 - Train Accuracy: 0.756, Validation Accuracy: 0.759, Loss: 0.352
Epoch 5 Batch 200/269 - Train Accuracy: 0.775, Validation Accuracy: 0.769, Loss: 0.345
Epoch 5 Batch 201/269 - Train Accuracy: 0.759, Validation Accuracy: 0.750, Loss: 0.336
Epoch 5 Batch 202/269 - Train Accuracy: 0.767, Validation Accuracy: 0.767, Loss: 0.336
Epoch 5 Batch 203/269 - Train Accuracy: 0.761, Validation Accuracy: 0.767, Loss: 0.357
Epoch 5 Batch 204/269 - Train Accuracy: 0.764, Validation Accuracy: 0.765, Loss: 0.352
Epoch 5 Batch 205/269 - Train Accuracy: 0.791, Validation Accuracy: 0.776, Loss: 0.335
Epoch 5 Batch 206/269 - Train Accuracy: 0.756, Validation Accuracy: 0.768, Loss: 0.347
Epoch 5 Batch 207/269 - Train Accuracy: 0.768, Validation Accuracy: 0.760, Loss: 0.328
Epoch 5 Batch 208/269 - Train Accuracy: 0.764, Validation Accuracy: 0.770, Loss: 0.345
Epoch 5 Batch 209/269 - Train Accuracy: 0.781, Validation Accuracy: 0.774, Loss: 0.334
Epoch 5 Batch 210/269 - Train Accuracy: 0.785, Validation Accuracy: 0.766, Loss: 0.327
Epoch 5 Batch 211/269 - Train Accuracy: 0.787, Validation Accuracy: 0.762, Loss: 0.336
Epoch 5 Batch 212/269 - Train Accuracy: 0.789, Validation Accuracy: 0.772, Loss: 0.335
Epoch 5 Batch 213/269 - Train Accuracy: 0.785, Validation Accuracy: 0.776, Loss: 0.334
Epoch 5 Batch 214/269 - Train Accuracy: 0.768, Validation Accuracy: 0.756, Loss: 0.339
Epoch 5 Batch 215/269 - Train Accuracy: 0.788, Validation Accuracy: 0.774, Loss: 0.313
Epoch 5 Batch 216/269 - Train Accuracy: 0.739, Validation Accuracy: 0.778, Loss: 0.366
Epoch 5 Batch 217/269 - Train Accuracy: 0.757, Validation Accuracy: 0.758, Loss: 0.341
Epoch 5 Batch 218/269 - Train Accuracy: 0.762, Validation Accuracy: 0.754, Loss: 0.349
Epoch 5 Batch 219/269 - Train Accuracy: 0.765, Validation Accuracy: 0.769, Loss: 0.358
Epoch 5 Batch 220/269 - Train Accuracy: 0.791, Validation Accuracy: 0.764, Loss: 0.337
Epoch 5 Batch 221/269 - Train Accuracy: 0.785, Validation Accuracy: 0.752, Loss: 0.333
Epoch 5 Batch 222/269 - Train Accuracy: 0.794, Validation Accuracy: 0.760, Loss: 0.323
Epoch 5 Batch 223/269 - Train Accuracy: 0.780, Validation Accuracy: 0.771, Loss: 0.336
Epoch 5 Batch 224/269 - Train Accuracy: 0.774, Validation Accuracy: 0.762, Loss: 0.350
Epoch 5 Batch 225/269 - Train Accuracy: 0.767, Validation Accuracy: 0.773, Loss: 0.335
Epoch 5 Batch 226/269 - Train Accuracy: 0.798, Validation Accuracy: 0.767, Loss: 0.332
Epoch 5 Batch 227/269 - Train Accuracy: 0.816, Validation Accuracy: 0.775, Loss: 0.307
Epoch 5 Batch 228/269 - Train Accuracy: 0.761, Validation Accuracy: 0.750, Loss: 0.328
Epoch 5 Batch 229/269 - Train Accuracy: 0.770, Validation Accuracy: 0.775, Loss: 0.343
Epoch 5 Batch 230/269 - Train Accuracy: 0.778, Validation Accuracy: 0.777, Loss: 0.339
Epoch 5 Batch 231/269 - Train Accuracy: 0.764, Validation Accuracy: 0.760, Loss: 0.344
Epoch 5 Batch 232/269 - Train Accuracy: 0.757, Validation Accuracy: 0.759, Loss: 0.356
Epoch 5 Batch 233/269 - Train Accuracy: 0.795, Validation Accuracy: 0.777, Loss: 0.354
Epoch 5 Batch 234/269 - Train Accuracy: 0.769, Validation Accuracy: 0.764, Loss: 0.327
Epoch 5 Batch 235/269 - Train Accuracy: 0.791, Validation Accuracy: 0.774, Loss: 0.332
Epoch 5 Batch 236/269 - Train Accuracy: 0.778, Validation Accuracy: 0.774, Loss: 0.329
Epoch 5 Batch 237/269 - Train Accuracy: 0.771, Validation Accuracy: 0.765, Loss: 0.334
Epoch 5 Batch 238/269 - Train Accuracy: 0.781, Validation Accuracy: 0.769, Loss: 0.323
Epoch 5 Batch 239/269 - Train Accuracy: 0.765, Validation Accuracy: 0.764, Loss: 0.329
Epoch 5 Batch 240/269 - Train Accuracy: 0.800, Validation Accuracy: 0.766, Loss: 0.296
Epoch 5 Batch 241/269 - Train Accuracy: 0.777, Validation Accuracy: 0.766, Loss: 0.331
Epoch 5 Batch 242/269 - Train Accuracy: 0.782, Validation Accuracy: 0.767, Loss: 0.320
Epoch 5 Batch 243/269 - Train Accuracy: 0.796, Validation Accuracy: 0.782, Loss: 0.314
Epoch 5 Batch 244/269 - Train Accuracy: 0.775, Validation Accuracy: 0.751, Loss: 0.322
Epoch 5 Batch 245/269 - Train Accuracy: 0.757, Validation Accuracy: 0.776, Loss: 0.344
Epoch 5 Batch 246/269 - Train Accuracy: 0.762, Validation Accuracy: 0.775, Loss: 0.322
Epoch 5 Batch 247/269 - Train Accuracy: 0.758, Validation Accuracy: 0.764, Loss: 0.331
Epoch 5 Batch 248/269 - Train Accuracy: 0.772, Validation Accuracy: 0.774, Loss: 0.319
Epoch 5 Batch 249/269 - Train Accuracy: 0.794, Validation Accuracy: 0.774, Loss: 0.304
Epoch 5 Batch 250/269 - Train Accuracy: 0.802, Validation Accuracy: 0.782, Loss: 0.328
Epoch 5 Batch 251/269 - Train Accuracy: 0.789, Validation Accuracy: 0.761, Loss: 0.313
Epoch 5 Batch 252/269 - Train Accuracy: 0.774, Validation Accuracy: 0.776, Loss: 0.326
Epoch 5 Batch 253/269 - Train Accuracy: 0.767, Validation Accuracy: 0.781, Loss: 0.334
Epoch 5 Batch 254/269 - Train Accuracy: 0.793, Validation Accuracy: 0.758, Loss: 0.318
Epoch 5 Batch 255/269 - Train Accuracy: 0.794, Validation Accuracy: 0.776, Loss: 0.318
Epoch 5 Batch 256/269 - Train Accuracy: 0.777, Validation Accuracy: 0.770, Loss: 0.319
Epoch 5 Batch 257/269 - Train Accuracy: 0.777, Validation Accuracy: 0.777, Loss: 0.331
Epoch 5 Batch 258/269 - Train Accuracy: 0.780, Validation Accuracy: 0.772, Loss: 0.323
Epoch 5 Batch 259/269 - Train Accuracy: 0.791, Validation Accuracy: 0.778, Loss: 0.318
Epoch 5 Batch 260/269 - Train Accuracy: 0.772, Validation Accuracy: 0.776, Loss: 0.332
Epoch 5 Batch 261/269 - Train Accuracy: 0.758, Validation Accuracy: 0.769, Loss: 0.337
Epoch 5 Batch 262/269 - Train Accuracy: 0.794, Validation Accuracy: 0.784, Loss: 0.323
Epoch 5 Batch 263/269 - Train Accuracy: 0.794, Validation Accuracy: 0.770, Loss: 0.329
Epoch 5 Batch 264/269 - Train Accuracy: 0.760, Validation Accuracy: 0.781, Loss: 0.332
Epoch 5 Batch 265/269 - Train Accuracy: 0.777, Validation Accuracy: 0.765, Loss: 0.325
Epoch 5 Batch 266/269 - Train Accuracy: 0.785, Validation Accuracy: 0.784, Loss: 0.305
Epoch 5 Batch 267/269 - Train Accuracy: 0.777, Validation Accuracy: 0.784, Loss: 0.326
Epoch 6 Batch 0/269 - Train Accuracy: 0.785, Validation Accuracy: 0.776, Loss: 0.332
Epoch 6 Batch 1/269 - Train Accuracy: 0.794, Validation Accuracy: 0.782, Loss: 0.322
Epoch 6 Batch 2/269 - Train Accuracy: 0.792, Validation Accuracy: 0.780, Loss: 0.317
Epoch 6 Batch 3/269 - Train Accuracy: 0.788, Validation Accuracy: 0.773, Loss: 0.326
Epoch 6 Batch 4/269 - Train Accuracy: 0.767, Validation Accuracy: 0.785, Loss: 0.333
Epoch 6 Batch 5/269 - Train Accuracy: 0.778, Validation Accuracy: 0.787, Loss: 0.321
Epoch 6 Batch 6/269 - Train Accuracy: 0.796, Validation Accuracy: 0.782, Loss: 0.301
Epoch 6 Batch 7/269 - Train Accuracy: 0.804, Validation Accuracy: 0.787, Loss: 0.300
Epoch 6 Batch 8/269 - Train Accuracy: 0.792, Validation Accuracy: 0.788, Loss: 0.330
Epoch 6 Batch 9/269 - Train Accuracy: 0.790, Validation Accuracy: 0.786, Loss: 0.321
Epoch 6 Batch 10/269 - Train Accuracy: 0.788, Validation Accuracy: 0.784, Loss: 0.322
Epoch 6 Batch 11/269 - Train Accuracy: 0.799, Validation Accuracy: 0.792, Loss: 0.321
Epoch 6 Batch 12/269 - Train Accuracy: 0.807, Validation Accuracy: 0.787, Loss: 0.335
Epoch 6 Batch 13/269 - Train Accuracy: 0.793, Validation Accuracy: 0.774, Loss: 0.287
Epoch 6 Batch 14/269 - Train Accuracy: 0.785, Validation Accuracy: 0.794, Loss: 0.304
Epoch 6 Batch 15/269 - Train Accuracy: 0.786, Validation Accuracy: 0.787, Loss: 0.293
Epoch 6 Batch 16/269 - Train Accuracy: 0.793, Validation Accuracy: 0.781, Loss: 0.311
Epoch 6 Batch 17/269 - Train Accuracy: 0.802, Validation Accuracy: 0.790, Loss: 0.300
Epoch 6 Batch 18/269 - Train Accuracy: 0.777, Validation Accuracy: 0.794, Loss: 0.316
Epoch 6 Batch 19/269 - Train Accuracy: 0.805, Validation Accuracy: 0.789, Loss: 0.286
Epoch 6 Batch 20/269 - Train Accuracy: 0.783, Validation Accuracy: 0.791, Loss: 0.319
Epoch 6 Batch 21/269 - Train Accuracy: 0.790, Validation Accuracy: 0.793, Loss: 0.332
Epoch 6 Batch 22/269 - Train Accuracy: 0.813, Validation Accuracy: 0.792, Loss: 0.298
Epoch 6 Batch 23/269 - Train Accuracy: 0.794, Validation Accuracy: 0.787, Loss: 0.300
Epoch 6 Batch 24/269 - Train Accuracy: 0.806, Validation Accuracy: 0.797, Loss: 0.317
Epoch 6 Batch 25/269 - Train Accuracy: 0.791, Validation Accuracy: 0.794, Loss: 0.331
Epoch 6 Batch 26/269 - Train Accuracy: 0.797, Validation Accuracy: 0.787, Loss: 0.285
Epoch 6 Batch 27/269 - Train Accuracy: 0.783, Validation Accuracy: 0.794, Loss: 0.304
Epoch 6 Batch 28/269 - Train Accuracy: 0.756, Validation Accuracy: 0.786, Loss: 0.329
Epoch 6 Batch 29/269 - Train Accuracy: 0.791, Validation Accuracy: 0.779, Loss: 0.332
Epoch 6 Batch 30/269 - Train Accuracy: 0.770, Validation Accuracy: 0.773, Loss: 0.323
Epoch 6 Batch 31/269 - Train Accuracy: 0.793, Validation Accuracy: 0.786, Loss: 0.321
Epoch 6 Batch 32/269 - Train Accuracy: 0.776, Validation Accuracy: 0.780, Loss: 0.309
Epoch 6 Batch 33/269 - Train Accuracy: 0.802, Validation Accuracy: 0.777, Loss: 0.295
Epoch 6 Batch 34/269 - Train Accuracy: 0.755, Validation Accuracy: 0.780, Loss: 0.313
Epoch 6 Batch 35/269 - Train Accuracy: 0.800, Validation Accuracy: 0.791, Loss: 0.319
Epoch 6 Batch 36/269 - Train Accuracy: 0.762, Validation Accuracy: 0.772, Loss: 0.300
Epoch 6 Batch 37/269 - Train Accuracy: 0.795, Validation Accuracy: 0.793, Loss: 0.311
Epoch 6 Batch 38/269 - Train Accuracy: 0.788, Validation Accuracy: 0.793, Loss: 0.304
Epoch 6 Batch 39/269 - Train Accuracy: 0.790, Validation Accuracy: 0.781, Loss: 0.304
Epoch 6 Batch 40/269 - Train Accuracy: 0.776, Validation Accuracy: 0.789, Loss: 0.313
Epoch 6 Batch 41/269 - Train Accuracy: 0.788, Validation Accuracy: 0.796, Loss: 0.314
Epoch 6 Batch 42/269 - Train Accuracy: 0.812, Validation Accuracy: 0.791, Loss: 0.293
Epoch 6 Batch 43/269 - Train Accuracy: 0.793, Validation Accuracy: 0.786, Loss: 0.310
Epoch 6 Batch 44/269 - Train Accuracy: 0.785, Validation Accuracy: 0.786, Loss: 0.307
Epoch 6 Batch 45/269 - Train Accuracy: 0.789, Validation Accuracy: 0.790, Loss: 0.322
Epoch 6 Batch 46/269 - Train Accuracy: 0.792, Validation Accuracy: 0.786, Loss: 0.311
Epoch 6 Batch 47/269 - Train Accuracy: 0.805, Validation Accuracy: 0.788, Loss: 0.284
Epoch 6 Batch 48/269 - Train Accuracy: 0.818, Validation Accuracy: 0.786, Loss: 0.299
Epoch 6 Batch 49/269 - Train Accuracy: 0.784, Validation Accuracy: 0.782, Loss: 0.302
Epoch 6 Batch 50/269 - Train Accuracy: 0.775, Validation Accuracy: 0.789, Loss: 0.323
Epoch 6 Batch 51/269 - Train Accuracy: 0.798, Validation Accuracy: 0.781, Loss: 0.298
Epoch 6 Batch 52/269 - Train Accuracy: 0.799, Validation Accuracy: 0.792, Loss: 0.289
Epoch 6 Batch 53/269 - Train Accuracy: 0.787, Validation Accuracy: 0.774, Loss: 0.321
Epoch 6 Batch 54/269 - Train Accuracy: 0.796, Validation Accuracy: 0.795, Loss: 0.309
Epoch 6 Batch 55/269 - Train Accuracy: 0.821, Validation Accuracy: 0.791, Loss: 0.291
Epoch 6 Batch 56/269 - Train Accuracy: 0.787, Validation Accuracy: 0.781, Loss: 0.301
Epoch 6 Batch 57/269 - Train Accuracy: 0.803, Validation Accuracy: 0.798, Loss: 0.310
Epoch 6 Batch 58/269 - Train Accuracy: 0.801, Validation Accuracy: 0.793, Loss: 0.296
Epoch 6 Batch 59/269 - Train Accuracy: 0.812, Validation Accuracy: 0.783, Loss: 0.277
Epoch 6 Batch 60/269 - Train Accuracy: 0.796, Validation Accuracy: 0.790, Loss: 0.284
Epoch 6 Batch 61/269 - Train Accuracy: 0.823, Validation Accuracy: 0.791, Loss: 0.277
Epoch 6 Batch 62/269 - Train Accuracy: 0.810, Validation Accuracy: 0.784, Loss: 0.287
Epoch 6 Batch 63/269 - Train Accuracy: 0.801, Validation Accuracy: 0.804, Loss: 0.307
Epoch 6 Batch 64/269 - Train Accuracy: 0.795, Validation Accuracy: 0.797, Loss: 0.284
Epoch 6 Batch 65/269 - Train Accuracy: 0.784, Validation Accuracy: 0.784, Loss: 0.299
Epoch 6 Batch 66/269 - Train Accuracy: 0.809, Validation Accuracy: 0.786, Loss: 0.288
Epoch 6 Batch 67/269 - Train Accuracy: 0.808, Validation Accuracy: 0.786, Loss: 0.302
Epoch 6 Batch 68/269 - Train Accuracy: 0.796, Validation Accuracy: 0.797, Loss: 0.307
Epoch 6 Batch 69/269 - Train Accuracy: 0.764, Validation Accuracy: 0.779, Loss: 0.328
Epoch 6 Batch 70/269 - Train Accuracy: 0.810, Validation Accuracy: 0.796, Loss: 0.301
Epoch 6 Batch 71/269 - Train Accuracy: 0.807, Validation Accuracy: 0.795, Loss: 0.309
Epoch 6 Batch 72/269 - Train Accuracy: 0.788, Validation Accuracy: 0.790, Loss: 0.295
Epoch 6 Batch 73/269 - Train Accuracy: 0.800, Validation Accuracy: 0.799, Loss: 0.307
Epoch 6 Batch 74/269 - Train Accuracy: 0.797, Validation Accuracy: 0.797, Loss: 0.294
Epoch 6 Batch 75/269 - Train Accuracy: 0.810, Validation Accuracy: 0.796, Loss: 0.290
Epoch 6 Batch 76/269 - Train Accuracy: 0.789, Validation Accuracy: 0.784, Loss: 0.296
Epoch 6 Batch 77/269 - Train Accuracy: 0.805, Validation Accuracy: 0.799, Loss: 0.298
Epoch 6 Batch 78/269 - Train Accuracy: 0.822, Validation Accuracy: 0.799, Loss: 0.293
Epoch 6 Batch 79/269 - Train Accuracy: 0.780, Validation Accuracy: 0.782, Loss: 0.285
Epoch 6 Batch 80/269 - Train Accuracy: 0.823, Validation Accuracy: 0.799, Loss: 0.282
Epoch 6 Batch 81/269 - Train Accuracy: 0.789, Validation Accuracy: 0.795, Loss: 0.302
Epoch 6 Batch 82/269 - Train Accuracy: 0.821, Validation Accuracy: 0.795, Loss: 0.273
Epoch 6 Batch 83/269 - Train Accuracy: 0.789, Validation Accuracy: 0.781, Loss: 0.299
Epoch 6 Batch 84/269 - Train Accuracy: 0.812, Validation Accuracy: 0.798, Loss: 0.286
Epoch 6 Batch 85/269 - Train Accuracy: 0.815, Validation Accuracy: 0.803, Loss: 0.290
Epoch 6 Batch 86/269 - Train Accuracy: 0.798, Validation Accuracy: 0.791, Loss: 0.282
Epoch 6 Batch 87/269 - Train Accuracy: 0.785, Validation Accuracy: 0.801, Loss: 0.315
Epoch 6 Batch 88/269 - Train Accuracy: 0.784, Validation Accuracy: 0.807, Loss: 0.293
Epoch 6 Batch 89/269 - Train Accuracy: 0.806, Validation Accuracy: 0.781, Loss: 0.286
Epoch 6 Batch 90/269 - Train Accuracy: 0.774, Validation Accuracy: 0.796, Loss: 0.314
Epoch 6 Batch 91/269 - Train Accuracy: 0.823, Validation Accuracy: 0.795, Loss: 0.280
Epoch 6 Batch 92/269 - Train Accuracy: 0.810, Validation Accuracy: 0.783, Loss: 0.278
Epoch 6 Batch 93/269 - Train Accuracy: 0.812, Validation Accuracy: 0.791, Loss: 0.275
Epoch 6 Batch 94/269 - Train Accuracy: 0.793, Validation Accuracy: 0.796, Loss: 0.301
Epoch 6 Batch 95/269 - Train Accuracy: 0.802, Validation Accuracy: 0.805, Loss: 0.286
Epoch 6 Batch 96/269 - Train Accuracy: 0.801, Validation Accuracy: 0.787, Loss: 0.288
Epoch 6 Batch 97/269 - Train Accuracy: 0.813, Validation Accuracy: 0.803, Loss: 0.283
Epoch 6 Batch 98/269 - Train Accuracy: 0.814, Validation Accuracy: 0.802, Loss: 0.288
Epoch 6 Batch 99/269 - Train Accuracy: 0.795, Validation Accuracy: 0.801, Loss: 0.293
Epoch 6 Batch 100/269 - Train Accuracy: 0.816, Validation Accuracy: 0.803, Loss: 0.279
Epoch 6 Batch 101/269 - Train Accuracy: 0.789, Validation Accuracy: 0.802, Loss: 0.306
Epoch 6 Batch 102/269 - Train Accuracy: 0.804, Validation Accuracy: 0.803, Loss: 0.286
Epoch 6 Batch 103/269 - Train Accuracy: 0.801, Validation Accuracy: 0.801, Loss: 0.288
Epoch 6 Batch 104/269 - Train Accuracy: 0.817, Validation Accuracy: 0.806, Loss: 0.277
Epoch 6 Batch 105/269 - Train Accuracy: 0.813, Validation Accuracy: 0.808, Loss: 0.282
Epoch 6 Batch 106/269 - Train Accuracy: 0.803, Validation Accuracy: 0.807, Loss: 0.280
Epoch 6 Batch 107/269 - Train Accuracy: 0.793, Validation Accuracy: 0.805, Loss: 0.300
Epoch 6 Batch 108/269 - Train Accuracy: 0.814, Validation Accuracy: 0.799, Loss: 0.279
Epoch 6 Batch 109/269 - Train Accuracy: 0.801, Validation Accuracy: 0.807, Loss: 0.290
Epoch 6 Batch 110/269 - Train Accuracy: 0.816, Validation Accuracy: 0.807, Loss: 0.278
Epoch 6 Batch 111/269 - Train Accuracy: 0.812, Validation Accuracy: 0.799, Loss: 0.304
Epoch 6 Batch 112/269 - Train Accuracy: 0.793, Validation Accuracy: 0.806, Loss: 0.288
Epoch 6 Batch 113/269 - Train Accuracy: 0.806, Validation Accuracy: 0.801, Loss: 0.275
Epoch 6 Batch 114/269 - Train Accuracy: 0.817, Validation Accuracy: 0.805, Loss: 0.280
Epoch 6 Batch 115/269 - Train Accuracy: 0.794, Validation Accuracy: 0.796, Loss: 0.299
Epoch 6 Batch 116/269 - Train Accuracy: 0.819, Validation Accuracy: 0.806, Loss: 0.294
Epoch 6 Batch 117/269 - Train Accuracy: 0.809, Validation Accuracy: 0.797, Loss: 0.283
Epoch 6 Batch 118/269 - Train Accuracy: 0.833, Validation Accuracy: 0.810, Loss: 0.275
Epoch 6 Batch 119/269 - Train Accuracy: 0.796, Validation Accuracy: 0.809, Loss: 0.290
Epoch 6 Batch 120/269 - Train Accuracy: 0.800, Validation Accuracy: 0.792, Loss: 0.292
Epoch 6 Batch 121/269 - Train Accuracy: 0.808, Validation Accuracy: 0.793, Loss: 0.279
Epoch 6 Batch 122/269 - Train Accuracy: 0.809, Validation Accuracy: 0.799, Loss: 0.276
Epoch 6 Batch 123/269 - Train Accuracy: 0.810, Validation Accuracy: 0.793, Loss: 0.291
Epoch 6 Batch 124/269 - Train Accuracy: 0.807, Validation Accuracy: 0.789, Loss: 0.270
Epoch 6 Batch 125/269 - Train Accuracy: 0.830, Validation Accuracy: 0.808, Loss: 0.269
Epoch 6 Batch 126/269 - Train Accuracy: 0.801, Validation Accuracy: 0.807, Loss: 0.281
Epoch 6 Batch 127/269 - Train Accuracy: 0.802, Validation Accuracy: 0.798, Loss: 0.284
Epoch 6 Batch 128/269 - Train Accuracy: 0.814, Validation Accuracy: 0.800, Loss: 0.282
Epoch 6 Batch 129/269 - Train Accuracy: 0.798, Validation Accuracy: 0.806, Loss: 0.282
Epoch 6 Batch 130/269 - Train Accuracy: 0.821, Validation Accuracy: 0.810, Loss: 0.295
Epoch 6 Batch 131/269 - Train Accuracy: 0.807, Validation Accuracy: 0.812, Loss: 0.283
Epoch 6 Batch 132/269 - Train Accuracy: 0.798, Validation Accuracy: 0.804, Loss: 0.286
Epoch 6 Batch 133/269 - Train Accuracy: 0.824, Validation Accuracy: 0.809, Loss: 0.270
Epoch 6 Batch 134/269 - Train Accuracy: 0.794, Validation Accuracy: 0.797, Loss: 0.281
Epoch 6 Batch 135/269 - Train Accuracy: 0.802, Validation Accuracy: 0.812, Loss: 0.296
Epoch 6 Batch 136/269 - Train Accuracy: 0.798, Validation Accuracy: 0.814, Loss: 0.291
Epoch 6 Batch 137/269 - Train Accuracy: 0.794, Validation Accuracy: 0.802, Loss: 0.297
Epoch 6 Batch 138/269 - Train Accuracy: 0.810, Validation Accuracy: 0.801, Loss: 0.282
Epoch 6 Batch 139/269 - Train Accuracy: 0.817, Validation Accuracy: 0.811, Loss: 0.271
Epoch 6 Batch 140/269 - Train Accuracy: 0.817, Validation Accuracy: 0.805, Loss: 0.285
Epoch 6 Batch 141/269 - Train Accuracy: 0.824, Validation Accuracy: 0.810, Loss: 0.286
Epoch 6 Batch 142/269 - Train Accuracy: 0.809, Validation Accuracy: 0.802, Loss: 0.266
Epoch 6 Batch 143/269 - Train Accuracy: 0.819, Validation Accuracy: 0.807, Loss: 0.268
Epoch 6 Batch 144/269 - Train Accuracy: 0.825, Validation Accuracy: 0.807, Loss: 0.262
Epoch 6 Batch 145/269 - Train Accuracy: 0.827, Validation Accuracy: 0.800, Loss: 0.269
Epoch 6 Batch 146/269 - Train Accuracy: 0.816, Validation Accuracy: 0.795, Loss: 0.273
Epoch 6 Batch 147/269 - Train Accuracy: 0.825, Validation Accuracy: 0.801, Loss: 0.266
Epoch 6 Batch 148/269 - Train Accuracy: 0.815, Validation Accuracy: 0.806, Loss: 0.272
Epoch 6 Batch 149/269 - Train Accuracy: 0.807, Validation Accuracy: 0.809, Loss: 0.280
Epoch 6 Batch 150/269 - Train Accuracy: 0.805, Validation Accuracy: 0.808, Loss: 0.275
Epoch 6 Batch 151/269 - Train Accuracy: 0.825, Validation Accuracy: 0.802, Loss: 0.263
Epoch 6 Batch 152/269 - Train Accuracy: 0.817, Validation Accuracy: 0.810, Loss: 0.273
Epoch 6 Batch 153/269 - Train Accuracy: 0.824, Validation Accuracy: 0.802, Loss: 0.275
Epoch 6 Batch 154/269 - Train Accuracy: 0.833, Validation Accuracy: 0.816, Loss: 0.272
Epoch 6 Batch 155/269 - Train Accuracy: 0.817, Validation Accuracy: 0.815, Loss: 0.256
Epoch 6 Batch 156/269 - Train Accuracy: 0.796, Validation Accuracy: 0.797, Loss: 0.284
Epoch 6 Batch 157/269 - Train Accuracy: 0.819, Validation Accuracy: 0.810, Loss: 0.271
Epoch 6 Batch 158/269 - Train Accuracy: 0.808, Validation Accuracy: 0.808, Loss: 0.275
Epoch 6 Batch 159/269 - Train Accuracy: 0.819, Validation Accuracy: 0.808, Loss: 0.273
Epoch 6 Batch 160/269 - Train Accuracy: 0.820, Validation Accuracy: 0.808, Loss: 0.266
Epoch 6 Batch 161/269 - Train Accuracy: 0.813, Validation Accuracy: 0.814, Loss: 0.270
Epoch 6 Batch 162/269 - Train Accuracy: 0.814, Validation Accuracy: 0.808, Loss: 0.273
Epoch 6 Batch 163/269 - Train Accuracy: 0.817, Validation Accuracy: 0.800, Loss: 0.274
Epoch 6 Batch 164/269 - Train Accuracy: 0.840, Validation Accuracy: 0.813, Loss: 0.267
Epoch 6 Batch 165/269 - Train Accuracy: 0.835, Validation Accuracy: 0.819, Loss: 0.269
Epoch 6 Batch 166/269 - Train Accuracy: 0.822, Validation Accuracy: 0.800, Loss: 0.254
Epoch 6 Batch 167/269 - Train Accuracy: 0.830, Validation Accuracy: 0.822, Loss: 0.268
Epoch 6 Batch 168/269 - Train Accuracy: 0.821, Validation Accuracy: 0.815, Loss: 0.267
Epoch 6 Batch 169/269 - Train Accuracy: 0.820, Validation Accuracy: 0.806, Loss: 0.265
Epoch 6 Batch 170/269 - Train Accuracy: 0.827, Validation Accuracy: 0.824, Loss: 0.257
Epoch 6 Batch 171/269 - Train Accuracy: 0.832, Validation Accuracy: 0.819, Loss: 0.274
Epoch 6 Batch 172/269 - Train Accuracy: 0.817, Validation Accuracy: 0.822, Loss: 0.286
Epoch 6 Batch 173/269 - Train Accuracy: 0.839, Validation Accuracy: 0.823, Loss: 0.255
Epoch 6 Batch 174/269 - Train Accuracy: 0.831, Validation Accuracy: 0.820, Loss: 0.269
Epoch 6 Batch 175/269 - Train Accuracy: 0.815, Validation Accuracy: 0.824, Loss: 0.280
Epoch 6 Batch 176/269 - Train Accuracy: 0.796, Validation Accuracy: 0.806, Loss: 0.288
Epoch 6 Batch 177/269 - Train Accuracy: 0.831, Validation Accuracy: 0.813, Loss: 0.253
Epoch 6 Batch 178/269 - Train Accuracy: 0.826, Validation Accuracy: 0.818, Loss: 0.261
Epoch 6 Batch 179/269 - Train Accuracy: 0.796, Validation Accuracy: 0.817, Loss: 0.260
Epoch 6 Batch 180/269 - Train Accuracy: 0.832, Validation Accuracy: 0.814, Loss: 0.252
Epoch 6 Batch 181/269 - Train Accuracy: 0.824, Validation Accuracy: 0.818, Loss: 0.267
Epoch 6 Batch 182/269 - Train Accuracy: 0.833, Validation Accuracy: 0.818, Loss: 0.264
Epoch 6 Batch 183/269 - Train Accuracy: 0.857, Validation Accuracy: 0.819, Loss: 0.227
Epoch 6 Batch 184/269 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.275
Epoch 6 Batch 185/269 - Train Accuracy: 0.835, Validation Accuracy: 0.817, Loss: 0.263
Epoch 6 Batch 186/269 - Train Accuracy: 0.807, Validation Accuracy: 0.821, Loss: 0.262
Epoch 6 Batch 187/269 - Train Accuracy: 0.819, Validation Accuracy: 0.818, Loss: 0.261
Epoch 6 Batch 188/269 - Train Accuracy: 0.832, Validation Accuracy: 0.820, Loss: 0.253
Epoch 6 Batch 189/269 - Train Accuracy: 0.833, Validation Accuracy: 0.816, Loss: 0.250
Epoch 6 Batch 190/269 - Train Accuracy: 0.836, Validation Accuracy: 0.822, Loss: 0.255
Epoch 6 Batch 191/269 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.260
Epoch 6 Batch 192/269 - Train Accuracy: 0.829, Validation Accuracy: 0.820, Loss: 0.260
Epoch 6 Batch 193/269 - Train Accuracy: 0.845, Validation Accuracy: 0.820, Loss: 0.253
Epoch 6 Batch 194/269 - Train Accuracy: 0.831, Validation Accuracy: 0.815, Loss: 0.263
Epoch 6 Batch 195/269 - Train Accuracy: 0.840, Validation Accuracy: 0.818, Loss: 0.265
Epoch 6 Batch 196/269 - Train Accuracy: 0.833, Validation Accuracy: 0.821, Loss: 0.255
Epoch 6 Batch 197/269 - Train Accuracy: 0.812, Validation Accuracy: 0.823, Loss: 0.276
Epoch 6 Batch 198/269 - Train Accuracy: 0.805, Validation Accuracy: 0.818, Loss: 0.282
Epoch 6 Batch 199/269 - Train Accuracy: 0.819, Validation Accuracy: 0.814, Loss: 0.268
Epoch 6 Batch 200/269 - Train Accuracy: 0.821, Validation Accuracy: 0.821, Loss: 0.265
Epoch 6 Batch 201/269 - Train Accuracy: 0.831, Validation Accuracy: 0.827, Loss: 0.269
Epoch 6 Batch 202/269 - Train Accuracy: 0.811, Validation Accuracy: 0.824, Loss: 0.263
Epoch 6 Batch 203/269 - Train Accuracy: 0.820, Validation Accuracy: 0.829, Loss: 0.280
Epoch 6 Batch 204/269 - Train Accuracy: 0.812, Validation Accuracy: 0.826, Loss: 0.279
Epoch 6 Batch 205/269 - Train Accuracy: 0.839, Validation Accuracy: 0.826, Loss: 0.261
Epoch 6 Batch 206/269 - Train Accuracy: 0.815, Validation Accuracy: 0.831, Loss: 0.270
Epoch 6 Batch 207/269 - Train Accuracy: 0.821, Validation Accuracy: 0.827, Loss: 0.251
Epoch 6 Batch 208/269 - Train Accuracy: 0.824, Validation Accuracy: 0.817, Loss: 0.267
Epoch 6 Batch 209/269 - Train Accuracy: 0.835, Validation Accuracy: 0.821, Loss: 0.264
Epoch 6 Batch 210/269 - Train Accuracy: 0.824, Validation Accuracy: 0.815, Loss: 0.257
Epoch 6 Batch 211/269 - Train Accuracy: 0.822, Validation Accuracy: 0.806, Loss: 0.266
Epoch 6 Batch 212/269 - Train Accuracy: 0.828, Validation Accuracy: 0.829, Loss: 0.263
Epoch 6 Batch 213/269 - Train Accuracy: 0.821, Validation Accuracy: 0.811, Loss: 0.256
Epoch 6 Batch 214/269 - Train Accuracy: 0.815, Validation Accuracy: 0.809, Loss: 0.269
Epoch 6 Batch 215/269 - Train Accuracy: 0.834, Validation Accuracy: 0.825, Loss: 0.249
Epoch 6 Batch 216/269 - Train Accuracy: 0.789, Validation Accuracy: 0.798, Loss: 0.279
Epoch 6 Batch 217/269 - Train Accuracy: 0.787, Validation Accuracy: 0.800, Loss: 0.278
Epoch 6 Batch 218/269 - Train Accuracy: 0.805, Validation Accuracy: 0.809, Loss: 0.275
Epoch 6 Batch 219/269 - Train Accuracy: 0.826, Validation Accuracy: 0.817, Loss: 0.281
Epoch 6 Batch 220/269 - Train Accuracy: 0.843, Validation Accuracy: 0.823, Loss: 0.245
Epoch 6 Batch 221/269 - Train Accuracy: 0.828, Validation Accuracy: 0.807, Loss: 0.258
Epoch 6 Batch 222/269 - Train Accuracy: 0.836, Validation Accuracy: 0.820, Loss: 0.252
Epoch 6 Batch 223/269 - Train Accuracy: 0.825, Validation Accuracy: 0.828, Loss: 0.251
Epoch 6 Batch 224/269 - Train Accuracy: 0.828, Validation Accuracy: 0.817, Loss: 0.264
Epoch 6 Batch 225/269 - Train Accuracy: 0.835, Validation Accuracy: 0.827, Loss: 0.253
Epoch 6 Batch 226/269 - Train Accuracy: 0.837, Validation Accuracy: 0.812, Loss: 0.247
Epoch 6 Batch 227/269 - Train Accuracy: 0.856, Validation Accuracy: 0.830, Loss: 0.239
Epoch 6 Batch 228/269 - Train Accuracy: 0.824, Validation Accuracy: 0.816, Loss: 0.247
Epoch 6 Batch 229/269 - Train Accuracy: 0.835, Validation Accuracy: 0.825, Loss: 0.251
Epoch 6 Batch 230/269 - Train Accuracy: 0.833, Validation Accuracy: 0.834, Loss: 0.246
Epoch 6 Batch 231/269 - Train Accuracy: 0.822, Validation Accuracy: 0.834, Loss: 0.264
Epoch 6 Batch 232/269 - Train Accuracy: 0.811, Validation Accuracy: 0.828, Loss: 0.262
Epoch 6 Batch 233/269 - Train Accuracy: 0.843, Validation Accuracy: 0.829, Loss: 0.261
Epoch 6 Batch 234/269 - Train Accuracy: 0.827, Validation Accuracy: 0.831, Loss: 0.250
Epoch 6 Batch 235/269 - Train Accuracy: 0.841, Validation Accuracy: 0.832, Loss: 0.243
Epoch 6 Batch 236/269 - Train Accuracy: 0.834, Validation Accuracy: 0.829, Loss: 0.244
Epoch 6 Batch 237/269 - Train Accuracy: 0.838, Validation Accuracy: 0.827, Loss: 0.251
Epoch 6 Batch 238/269 - Train Accuracy: 0.840, Validation Accuracy: 0.838, Loss: 0.245
Epoch 6 Batch 239/269 - Train Accuracy: 0.827, Validation Accuracy: 0.830, Loss: 0.248
Epoch 6 Batch 240/269 - Train Accuracy: 0.862, Validation Accuracy: 0.837, Loss: 0.228
Epoch 6 Batch 241/269 - Train Accuracy: 0.838, Validation Accuracy: 0.837, Loss: 0.254
Epoch 6 Batch 242/269 - Train Accuracy: 0.850, Validation Accuracy: 0.830, Loss: 0.240
Epoch 6 Batch 243/269 - Train Accuracy: 0.858, Validation Accuracy: 0.838, Loss: 0.240
Epoch 6 Batch 244/269 - Train Accuracy: 0.845, Validation Accuracy: 0.831, Loss: 0.252
Epoch 6 Batch 245/269 - Train Accuracy: 0.816, Validation Accuracy: 0.828, Loss: 0.256
Epoch 6 Batch 246/269 - Train Accuracy: 0.811, Validation Accuracy: 0.827, Loss: 0.244
Epoch 6 Batch 247/269 - Train Accuracy: 0.831, Validation Accuracy: 0.829, Loss: 0.252
Epoch 6 Batch 248/269 - Train Accuracy: 0.842, Validation Accuracy: 0.831, Loss: 0.239
Epoch 6 Batch 249/269 - Train Accuracy: 0.849, Validation Accuracy: 0.835, Loss: 0.231
Epoch 6 Batch 250/269 - Train Accuracy: 0.849, Validation Accuracy: 0.835, Loss: 0.242
Epoch 6 Batch 251/269 - Train Accuracy: 0.854, Validation Accuracy: 0.831, Loss: 0.238
Epoch 6 Batch 252/269 - Train Accuracy: 0.834, Validation Accuracy: 0.833, Loss: 0.247
Epoch 6 Batch 253/269 - Train Accuracy: 0.822, Validation Accuracy: 0.830, Loss: 0.253
Epoch 6 Batch 254/269 - Train Accuracy: 0.856, Validation Accuracy: 0.829, Loss: 0.242
Epoch 6 Batch 255/269 - Train Accuracy: 0.837, Validation Accuracy: 0.828, Loss: 0.243
Epoch 6 Batch 256/269 - Train Accuracy: 0.836, Validation Accuracy: 0.829, Loss: 0.242
Epoch 6 Batch 257/269 - Train Accuracy: 0.832, Validation Accuracy: 0.828, Loss: 0.258
Epoch 6 Batch 258/269 - Train Accuracy: 0.846, Validation Accuracy: 0.833, Loss: 0.245
Epoch 6 Batch 259/269 - Train Accuracy: 0.840, Validation Accuracy: 0.830, Loss: 0.245
Epoch 6 Batch 260/269 - Train Accuracy: 0.818, Validation Accuracy: 0.831, Loss: 0.255
Epoch 6 Batch 261/269 - Train Accuracy: 0.828, Validation Accuracy: 0.833, Loss: 0.254
Epoch 6 Batch 262/269 - Train Accuracy: 0.845, Validation Accuracy: 0.830, Loss: 0.243
Epoch 6 Batch 263/269 - Train Accuracy: 0.845, Validation Accuracy: 0.830, Loss: 0.247
Epoch 6 Batch 264/269 - Train Accuracy: 0.804, Validation Accuracy: 0.830, Loss: 0.259
Epoch 6 Batch 265/269 - Train Accuracy: 0.845, Validation Accuracy: 0.827, Loss: 0.252
Epoch 6 Batch 266/269 - Train Accuracy: 0.840, Validation Accuracy: 0.829, Loss: 0.235
Epoch 6 Batch 267/269 - Train Accuracy: 0.837, Validation Accuracy: 0.838, Loss: 0.250
Epoch 7 Batch 0/269 - Train Accuracy: 0.841, Validation Accuracy: 0.841, Loss: 0.253
Epoch 7 Batch 1/269 - Train Accuracy: 0.842, Validation Accuracy: 0.833, Loss: 0.244
Epoch 7 Batch 2/269 - Train Accuracy: 0.838, Validation Accuracy: 0.825, Loss: 0.246
Epoch 7 Batch 3/269 - Train Accuracy: 0.842, Validation Accuracy: 0.825, Loss: 0.245
Epoch 7 Batch 4/269 - Train Accuracy: 0.816, Validation Accuracy: 0.827, Loss: 0.259
Epoch 7 Batch 5/269 - Train Accuracy: 0.815, Validation Accuracy: 0.824, Loss: 0.252
Epoch 7 Batch 6/269 - Train Accuracy: 0.849, Validation Accuracy: 0.834, Loss: 0.234
Epoch 7 Batch 7/269 - Train Accuracy: 0.843, Validation Accuracy: 0.841, Loss: 0.240
Epoch 7 Batch 8/269 - Train Accuracy: 0.840, Validation Accuracy: 0.839, Loss: 0.248
Epoch 7 Batch 9/269 - Train Accuracy: 0.839, Validation Accuracy: 0.834, Loss: 0.248
Epoch 7 Batch 10/269 - Train Accuracy: 0.837, Validation Accuracy: 0.823, Loss: 0.240
Epoch 7 Batch 11/269 - Train Accuracy: 0.847, Validation Accuracy: 0.825, Loss: 0.251
Epoch 7 Batch 12/269 - Train Accuracy: 0.834, Validation Accuracy: 0.830, Loss: 0.265
Epoch 7 Batch 13/269 - Train Accuracy: 0.838, Validation Accuracy: 0.830, Loss: 0.216
Epoch 7 Batch 14/269 - Train Accuracy: 0.819, Validation Accuracy: 0.825, Loss: 0.242
Epoch 7 Batch 15/269 - Train Accuracy: 0.835, Validation Accuracy: 0.818, Loss: 0.232
Epoch 7 Batch 16/269 - Train Accuracy: 0.837, Validation Accuracy: 0.829, Loss: 0.253
Epoch 7 Batch 17/269 - Train Accuracy: 0.839, Validation Accuracy: 0.828, Loss: 0.230
Epoch 7 Batch 18/269 - Train Accuracy: 0.817, Validation Accuracy: 0.823, Loss: 0.247
Epoch 7 Batch 19/269 - Train Accuracy: 0.845, Validation Accuracy: 0.827, Loss: 0.231
Epoch 7 Batch 20/269 - Train Accuracy: 0.843, Validation Accuracy: 0.839, Loss: 0.255
Epoch 7 Batch 21/269 - Train Accuracy: 0.823, Validation Accuracy: 0.825, Loss: 0.255
Epoch 7 Batch 22/269 - Train Accuracy: 0.848, Validation Accuracy: 0.824, Loss: 0.238
Epoch 7 Batch 23/269 - Train Accuracy: 0.842, Validation Accuracy: 0.838, Loss: 0.249
Epoch 7 Batch 24/269 - Train Accuracy: 0.843, Validation Accuracy: 0.831, Loss: 0.243
Epoch 7 Batch 25/269 - Train Accuracy: 0.836, Validation Accuracy: 0.830, Loss: 0.260
Epoch 7 Batch 26/269 - Train Accuracy: 0.844, Validation Accuracy: 0.841, Loss: 0.223
Epoch 7 Batch 27/269 - Train Accuracy: 0.829, Validation Accuracy: 0.835, Loss: 0.229
Epoch 7 Batch 28/269 - Train Accuracy: 0.799, Validation Accuracy: 0.819, Loss: 0.257
Epoch 7 Batch 29/269 - Train Accuracy: 0.839, Validation Accuracy: 0.831, Loss: 0.258
Epoch 7 Batch 30/269 - Train Accuracy: 0.853, Validation Accuracy: 0.833, Loss: 0.238
Epoch 7 Batch 31/269 - Train Accuracy: 0.838, Validation Accuracy: 0.830, Loss: 0.225
Epoch 7 Batch 32/269 - Train Accuracy: 0.826, Validation Accuracy: 0.832, Loss: 0.239
Epoch 7 Batch 33/269 - Train Accuracy: 0.847, Validation Accuracy: 0.836, Loss: 0.229
Epoch 7 Batch 34/269 - Train Accuracy: 0.821, Validation Accuracy: 0.831, Loss: 0.232
Epoch 7 Batch 35/269 - Train Accuracy: 0.843, Validation Accuracy: 0.833, Loss: 0.241
Epoch 7 Batch 36/269 - Train Accuracy: 0.838, Validation Accuracy: 0.836, Loss: 0.230
Epoch 7 Batch 37/269 - Train Accuracy: 0.839, Validation Accuracy: 0.832, Loss: 0.227
Epoch 7 Batch 38/269 - Train Accuracy: 0.847, Validation Accuracy: 0.839, Loss: 0.236
Epoch 7 Batch 39/269 - Train Accuracy: 0.852, Validation Accuracy: 0.836, Loss: 0.233
Epoch 7 Batch 40/269 - Train Accuracy: 0.821, Validation Accuracy: 0.831, Loss: 0.237
Epoch 7 Batch 41/269 - Train Accuracy: 0.835, Validation Accuracy: 0.832, Loss: 0.242
Epoch 7 Batch 42/269 - Train Accuracy: 0.855, Validation Accuracy: 0.843, Loss: 0.221
Epoch 7 Batch 43/269 - Train Accuracy: 0.845, Validation Accuracy: 0.837, Loss: 0.234
Epoch 7 Batch 44/269 - Train Accuracy: 0.842, Validation Accuracy: 0.842, Loss: 0.235
Epoch 7 Batch 45/269 - Train Accuracy: 0.831, Validation Accuracy: 0.843, Loss: 0.239
Epoch 7 Batch 46/269 - Train Accuracy: 0.843, Validation Accuracy: 0.836, Loss: 0.234
Epoch 7 Batch 47/269 - Train Accuracy: 0.859, Validation Accuracy: 0.842, Loss: 0.216
Epoch 7 Batch 48/269 - Train Accuracy: 0.866, Validation Accuracy: 0.836, Loss: 0.226
Epoch 7 Batch 49/269 - Train Accuracy: 0.831, Validation Accuracy: 0.833, Loss: 0.232
Epoch 7 Batch 50/269 - Train Accuracy: 0.820, Validation Accuracy: 0.831, Loss: 0.247
Epoch 7 Batch 51/269 - Train Accuracy: 0.851, Validation Accuracy: 0.844, Loss: 0.228
Epoch 7 Batch 52/269 - Train Accuracy: 0.831, Validation Accuracy: 0.835, Loss: 0.215
Epoch 7 Batch 53/269 - Train Accuracy: 0.849, Validation Accuracy: 0.838, Loss: 0.253
Epoch 7 Batch 54/269 - Train Accuracy: 0.844, Validation Accuracy: 0.842, Loss: 0.235
Epoch 7 Batch 55/269 - Train Accuracy: 0.849, Validation Accuracy: 0.835, Loss: 0.225
Epoch 7 Batch 56/269 - Train Accuracy: 0.840, Validation Accuracy: 0.826, Loss: 0.237
Epoch 7 Batch 57/269 - Train Accuracy: 0.839, Validation Accuracy: 0.836, Loss: 0.240
Epoch 7 Batch 58/269 - Train Accuracy: 0.842, Validation Accuracy: 0.835, Loss: 0.224
Epoch 7 Batch 59/269 - Train Accuracy: 0.859, Validation Accuracy: 0.836, Loss: 0.208
Epoch 7 Batch 60/269 - Train Accuracy: 0.852, Validation Accuracy: 0.841, Loss: 0.214
Epoch 7 Batch 61/269 - Train Accuracy: 0.856, Validation Accuracy: 0.845, Loss: 0.210
Epoch 7 Batch 62/269 - Train Accuracy: 0.859, Validation Accuracy: 0.838, Loss: 0.221
Epoch 7 Batch 63/269 - Train Accuracy: 0.836, Validation Accuracy: 0.848, Loss: 0.234
Epoch 7 Batch 64/269 - Train Accuracy: 0.849, Validation Accuracy: 0.849, Loss: 0.215
Epoch 7 Batch 65/269 - Train Accuracy: 0.827, Validation Accuracy: 0.839, Loss: 0.220
Epoch 7 Batch 66/269 - Train Accuracy: 0.850, Validation Accuracy: 0.844, Loss: 0.221
Epoch 7 Batch 67/269 - Train Accuracy: 0.853, Validation Accuracy: 0.847, Loss: 0.234
Epoch 7 Batch 68/269 - Train Accuracy: 0.828, Validation Accuracy: 0.842, Loss: 0.233
Epoch 7 Batch 69/269 - Train Accuracy: 0.825, Validation Accuracy: 0.846, Loss: 0.254
Epoch 7 Batch 70/269 - Train Accuracy: 0.862, Validation Accuracy: 0.844, Loss: 0.225
Epoch 7 Batch 71/269 - Train Accuracy: 0.843, Validation Accuracy: 0.844, Loss: 0.235
Epoch 7 Batch 72/269 - Train Accuracy: 0.850, Validation Accuracy: 0.848, Loss: 0.232
Epoch 7 Batch 73/269 - Train Accuracy: 0.853, Validation Accuracy: 0.839, Loss: 0.232
Epoch 7 Batch 74/269 - Train Accuracy: 0.842, Validation Accuracy: 0.845, Loss: 0.225
Epoch 7 Batch 75/269 - Train Accuracy: 0.842, Validation Accuracy: 0.850, Loss: 0.224
Epoch 7 Batch 76/269 - Train Accuracy: 0.837, Validation Accuracy: 0.847, Loss: 0.223
Epoch 7 Batch 77/269 - Train Accuracy: 0.850, Validation Accuracy: 0.846, Loss: 0.215
Epoch 7 Batch 78/269 - Train Accuracy: 0.857, Validation Accuracy: 0.847, Loss: 0.220
Epoch 7 Batch 79/269 - Train Accuracy: 0.850, Validation Accuracy: 0.849, Loss: 0.218
Epoch 7 Batch 80/269 - Train Accuracy: 0.859, Validation Accuracy: 0.849, Loss: 0.212
Epoch 7 Batch 81/269 - Train Accuracy: 0.833, Validation Accuracy: 0.844, Loss: 0.229
Epoch 7 Batch 82/269 - Train Accuracy: 0.872, Validation Accuracy: 0.853, Loss: 0.201
Epoch 7 Batch 83/269 - Train Accuracy: 0.855, Validation Accuracy: 0.852, Loss: 0.230
Epoch 7 Batch 84/269 - Train Accuracy: 0.856, Validation Accuracy: 0.844, Loss: 0.218
Epoch 7 Batch 85/269 - Train Accuracy: 0.866, Validation Accuracy: 0.852, Loss: 0.216
Epoch 7 Batch 86/269 - Train Accuracy: 0.855, Validation Accuracy: 0.852, Loss: 0.215
Epoch 7 Batch 87/269 - Train Accuracy: 0.834, Validation Accuracy: 0.851, Loss: 0.236
Epoch 7 Batch 88/269 - Train Accuracy: 0.831, Validation Accuracy: 0.851, Loss: 0.225
Epoch 7 Batch 89/269 - Train Accuracy: 0.860, Validation Accuracy: 0.845, Loss: 0.219
Epoch 7 Batch 90/269 - Train Accuracy: 0.827, Validation Accuracy: 0.846, Loss: 0.235
Epoch 7 Batch 91/269 - Train Accuracy: 0.867, Validation Accuracy: 0.847, Loss: 0.209
Epoch 7 Batch 92/269 - Train Accuracy: 0.850, Validation Accuracy: 0.841, Loss: 0.212
Epoch 7 Batch 93/269 - Train Accuracy: 0.861, Validation Accuracy: 0.845, Loss: 0.209
Epoch 7 Batch 94/269 - Train Accuracy: 0.838, Validation Accuracy: 0.851, Loss: 0.233
Epoch 7 Batch 95/269 - Train Accuracy: 0.856, Validation Accuracy: 0.849, Loss: 0.214
Epoch 7 Batch 96/269 - Train Accuracy: 0.838, Validation Accuracy: 0.842, Loss: 0.218
Epoch 7 Batch 97/269 - Train Accuracy: 0.856, Validation Accuracy: 0.849, Loss: 0.219
Epoch 7 Batch 98/269 - Train Accuracy: 0.858, Validation Accuracy: 0.848, Loss: 0.216
Epoch 7 Batch 99/269 - Train Accuracy: 0.836, Validation Accuracy: 0.851, Loss: 0.226
Epoch 7 Batch 100/269 - Train Accuracy: 0.870, Validation Accuracy: 0.856, Loss: 0.213
Epoch 7 Batch 101/269 - Train Accuracy: 0.836, Validation Accuracy: 0.845, Loss: 0.238
Epoch 7 Batch 102/269 - Train Accuracy: 0.850, Validation Accuracy: 0.849, Loss: 0.207
Epoch 7 Batch 103/269 - Train Accuracy: 0.860, Validation Accuracy: 0.853, Loss: 0.226
Epoch 7 Batch 104/269 - Train Accuracy: 0.859, Validation Accuracy: 0.852, Loss: 0.212
Epoch 7 Batch 105/269 - Train Accuracy: 0.845, Validation Accuracy: 0.850, Loss: 0.216
Epoch 7 Batch 106/269 - Train Accuracy: 0.847, Validation Accuracy: 0.850, Loss: 0.210
Epoch 7 Batch 107/269 - Train Accuracy: 0.838, Validation Accuracy: 0.836, Loss: 0.224
Epoch 7 Batch 108/269 - Train Accuracy: 0.868, Validation Accuracy: 0.855, Loss: 0.216
Epoch 7 Batch 109/269 - Train Accuracy: 0.831, Validation Accuracy: 0.844, Loss: 0.223
Epoch 7 Batch 110/269 - Train Accuracy: 0.850, Validation Accuracy: 0.858, Loss: 0.212
Epoch 7 Batch 111/269 - Train Accuracy: 0.847, Validation Accuracy: 0.856, Loss: 0.239
Epoch 7 Batch 112/269 - Train Accuracy: 0.832, Validation Accuracy: 0.842, Loss: 0.219
Epoch 7 Batch 113/269 - Train Accuracy: 0.840, Validation Accuracy: 0.849, Loss: 0.211
Epoch 7 Batch 114/269 - Train Accuracy: 0.862, Validation Accuracy: 0.854, Loss: 0.216
Epoch 7 Batch 115/269 - Train Accuracy: 0.842, Validation Accuracy: 0.848, Loss: 0.225
Epoch 7 Batch 116/269 - Train Accuracy: 0.849, Validation Accuracy: 0.843, Loss: 0.225
Epoch 7 Batch 117/269 - Train Accuracy: 0.839, Validation Accuracy: 0.847, Loss: 0.213
Epoch 7 Batch 118/269 - Train Accuracy: 0.861, Validation Accuracy: 0.846, Loss: 0.212
Epoch 7 Batch 119/269 - Train Accuracy: 0.835, Validation Accuracy: 0.849, Loss: 0.224
Epoch 7 Batch 120/269 - Train Accuracy: 0.843, Validation Accuracy: 0.847, Loss: 0.219
Epoch 7 Batch 121/269 - Train Accuracy: 0.855, Validation Accuracy: 0.847, Loss: 0.205
Epoch 7 Batch 122/269 - Train Accuracy: 0.840, Validation Accuracy: 0.846, Loss: 0.213
Epoch 7 Batch 123/269 - Train Accuracy: 0.848, Validation Accuracy: 0.848, Loss: 0.219
Epoch 7 Batch 124/269 - Train Accuracy: 0.860, Validation Accuracy: 0.844, Loss: 0.203
Epoch 7 Batch 125/269 - Train Accuracy: 0.870, Validation Accuracy: 0.851, Loss: 0.207
Epoch 7 Batch 126/269 - Train Accuracy: 0.850, Validation Accuracy: 0.846, Loss: 0.209
Epoch 7 Batch 127/269 - Train Accuracy: 0.850, Validation Accuracy: 0.848, Loss: 0.217
Epoch 7 Batch 128/269 - Train Accuracy: 0.860, Validation Accuracy: 0.842, Loss: 0.210
Epoch 7 Batch 129/269 - Train Accuracy: 0.839, Validation Accuracy: 0.845, Loss: 0.211
Epoch 7 Batch 130/269 - Train Accuracy: 0.869, Validation Accuracy: 0.847, Loss: 0.218
Epoch 7 Batch 131/269 - Train Accuracy: 0.844, Validation Accuracy: 0.851, Loss: 0.211
Epoch 7 Batch 132/269 - Train Accuracy: 0.840, Validation Accuracy: 0.850, Loss: 0.220
Epoch 7 Batch 133/269 - Train Accuracy: 0.871, Validation Accuracy: 0.847, Loss: 0.202
Epoch 7 Batch 134/269 - Train Accuracy: 0.848, Validation Accuracy: 0.851, Loss: 0.212
Epoch 7 Batch 135/269 - Train Accuracy: 0.840, Validation Accuracy: 0.851, Loss: 0.225
Epoch 7 Batch 136/269 - Train Accuracy: 0.829, Validation Accuracy: 0.853, Loss: 0.221
Epoch 7 Batch 137/269 - Train Accuracy: 0.846, Validation Accuracy: 0.856, Loss: 0.233
Epoch 7 Batch 138/269 - Train Accuracy: 0.853, Validation Accuracy: 0.851, Loss: 0.212
Epoch 7 Batch 139/269 - Train Accuracy: 0.860, Validation Accuracy: 0.848, Loss: 0.198
Epoch 7 Batch 140/269 - Train Accuracy: 0.854, Validation Accuracy: 0.854, Loss: 0.220
Epoch 7 Batch 141/269 - Train Accuracy: 0.857, Validation Accuracy: 0.851, Loss: 0.219
Epoch 7 Batch 142/269 - Train Accuracy: 0.855, Validation Accuracy: 0.849, Loss: 0.201
Epoch 7 Batch 143/269 - Train Accuracy: 0.865, Validation Accuracy: 0.849, Loss: 0.204
Epoch 7 Batch 144/269 - Train Accuracy: 0.859, Validation Accuracy: 0.851, Loss: 0.195
Epoch 7 Batch 145/269 - Train Accuracy: 0.858, Validation Accuracy: 0.846, Loss: 0.200
Epoch 7 Batch 146/269 - Train Accuracy: 0.861, Validation Accuracy: 0.853, Loss: 0.207
Epoch 7 Batch 147/269 - Train Accuracy: 0.870, Validation Accuracy: 0.851, Loss: 0.207
Epoch 7 Batch 148/269 - Train Accuracy: 0.843, Validation Accuracy: 0.844, Loss: 0.206
Epoch 7 Batch 149/269 - Train Accuracy: 0.844, Validation Accuracy: 0.847, Loss: 0.218
Epoch 7 Batch 150/269 - Train Accuracy: 0.845, Validation Accuracy: 0.844, Loss: 0.209
Epoch 7 Batch 151/269 - Train Accuracy: 0.856, Validation Accuracy: 0.846, Loss: 0.200
Epoch 7 Batch 152/269 - Train Accuracy: 0.856, Validation Accuracy: 0.857, Loss: 0.211
Epoch 7 Batch 153/269 - Train Accuracy: 0.856, Validation Accuracy: 0.845, Loss: 0.210
Epoch 7 Batch 154/269 - Train Accuracy: 0.862, Validation Accuracy: 0.847, Loss: 0.211
Epoch 7 Batch 155/269 - Train Accuracy: 0.853, Validation Accuracy: 0.849, Loss: 0.202
Epoch 7 Batch 156/269 - Train Accuracy: 0.839, Validation Accuracy: 0.855, Loss: 0.215
Epoch 7 Batch 157/269 - Train Accuracy: 0.857, Validation Accuracy: 0.852, Loss: 0.204
Epoch 7 Batch 158/269 - Train Accuracy: 0.848, Validation Accuracy: 0.845, Loss: 0.202
Epoch 7 Batch 159/269 - Train Accuracy: 0.845, Validation Accuracy: 0.858, Loss: 0.212
Epoch 7 Batch 160/269 - Train Accuracy: 0.869, Validation Accuracy: 0.859, Loss: 0.208
Epoch 7 Batch 161/269 - Train Accuracy: 0.863, Validation Accuracy: 0.856, Loss: 0.206
Epoch 7 Batch 162/269 - Train Accuracy: 0.866, Validation Accuracy: 0.864, Loss: 0.201
Epoch 7 Batch 163/269 - Train Accuracy: 0.852, Validation Accuracy: 0.854, Loss: 0.211
Epoch 7 Batch 164/269 - Train Accuracy: 0.867, Validation Accuracy: 0.853, Loss: 0.206
Epoch 7 Batch 165/269 - Train Accuracy: 0.867, Validation Accuracy: 0.857, Loss: 0.203
Epoch 7 Batch 166/269 - Train Accuracy: 0.864, Validation Accuracy: 0.858, Loss: 0.196
Epoch 7 Batch 167/269 - Train Accuracy: 0.866, Validation Accuracy: 0.854, Loss: 0.199
Epoch 7 Batch 168/269 - Train Accuracy: 0.854, Validation Accuracy: 0.854, Loss: 0.211
Epoch 7 Batch 169/269 - Train Accuracy: 0.863, Validation Accuracy: 0.856, Loss: 0.205
Epoch 7 Batch 170/269 - Train Accuracy: 0.852, Validation Accuracy: 0.859, Loss: 0.199
Epoch 7 Batch 171/269 - Train Accuracy: 0.878, Validation Accuracy: 0.854, Loss: 0.204
Epoch 7 Batch 172/269 - Train Accuracy: 0.856, Validation Accuracy: 0.859, Loss: 0.221
Epoch 7 Batch 173/269 - Train Accuracy: 0.867, Validation Accuracy: 0.856, Loss: 0.194
Epoch 7 Batch 174/269 - Train Accuracy: 0.859, Validation Accuracy: 0.856, Loss: 0.203
Epoch 7 Batch 175/269 - Train Accuracy: 0.847, Validation Accuracy: 0.860, Loss: 0.219
Epoch 7 Batch 176/269 - Train Accuracy: 0.850, Validation Accuracy: 0.855, Loss: 0.220
Epoch 7 Batch 177/269 - Train Accuracy: 0.867, Validation Accuracy: 0.855, Loss: 0.193
Epoch 7 Batch 178/269 - Train Accuracy: 0.869, Validation Accuracy: 0.861, Loss: 0.195
Epoch 7 Batch 179/269 - Train Accuracy: 0.840, Validation Accuracy: 0.860, Loss: 0.204
Epoch 7 Batch 180/269 - Train Accuracy: 0.867, Validation Accuracy: 0.848, Loss: 0.190
Epoch 7 Batch 181/269 - Train Accuracy: 0.865, Validation Accuracy: 0.858, Loss: 0.207
Epoch 7 Batch 182/269 - Train Accuracy: 0.858, Validation Accuracy: 0.854, Loss: 0.205
Epoch 7 Batch 183/269 - Train Accuracy: 0.884, Validation Accuracy: 0.851, Loss: 0.175
Epoch 7 Batch 184/269 - Train Accuracy: 0.853, Validation Accuracy: 0.859, Loss: 0.206
Epoch 7 Batch 185/269 - Train Accuracy: 0.878, Validation Accuracy: 0.863, Loss: 0.200
Epoch 7 Batch 186/269 - Train Accuracy: 0.851, Validation Accuracy: 0.859, Loss: 0.199
Epoch 7 Batch 187/269 - Train Accuracy: 0.859, Validation Accuracy: 0.861, Loss: 0.200
Epoch 7 Batch 188/269 - Train Accuracy: 0.874, Validation Accuracy: 0.861, Loss: 0.193
Epoch 7 Batch 189/269 - Train Accuracy: 0.866, Validation Accuracy: 0.860, Loss: 0.193
Epoch 7 Batch 190/269 - Train Accuracy: 0.869, Validation Accuracy: 0.853, Loss: 0.192
Epoch 7 Batch 191/269 - Train Accuracy: 0.850, Validation Accuracy: 0.855, Loss: 0.196
Epoch 7 Batch 192/269 - Train Accuracy: 0.863, Validation Accuracy: 0.856, Loss: 0.202
Epoch 7 Batch 193/269 - Train Accuracy: 0.878, Validation Accuracy: 0.862, Loss: 0.195
Epoch 7 Batch 194/269 - Train Accuracy: 0.865, Validation Accuracy: 0.864, Loss: 0.203
Epoch 7 Batch 195/269 - Train Accuracy: 0.871, Validation Accuracy: 0.861, Loss: 0.198
Epoch 7 Batch 196/269 - Train Accuracy: 0.859, Validation Accuracy: 0.860, Loss: 0.193
Epoch 7 Batch 197/269 - Train Accuracy: 0.849, Validation Accuracy: 0.860, Loss: 0.212
Epoch 7 Batch 198/269 - Train Accuracy: 0.843, Validation Accuracy: 0.860, Loss: 0.210
Epoch 7 Batch 199/269 - Train Accuracy: 0.856, Validation Accuracy: 0.865, Loss: 0.206
Epoch 7 Batch 200/269 - Train Accuracy: 0.861, Validation Accuracy: 0.862, Loss: 0.200
Epoch 7 Batch 201/269 - Train Accuracy: 0.866, Validation Accuracy: 0.863, Loss: 0.197
Epoch 7 Batch 202/269 - Train Accuracy: 0.851, Validation Accuracy: 0.864, Loss: 0.200
Epoch 7 Batch 203/269 - Train Accuracy: 0.870, Validation Accuracy: 0.864, Loss: 0.210
Epoch 7 Batch 204/269 - Train Accuracy: 0.852, Validation Accuracy: 0.854, Loss: 0.209
Epoch 7 Batch 205/269 - Train Accuracy: 0.872, Validation Accuracy: 0.861, Loss: 0.198
Epoch 7 Batch 206/269 - Train Accuracy: 0.843, Validation Accuracy: 0.862, Loss: 0.206
Epoch 7 Batch 207/269 - Train Accuracy: 0.850, Validation Accuracy: 0.848, Loss: 0.191
Epoch 7 Batch 208/269 - Train Accuracy: 0.863, Validation Accuracy: 0.851, Loss: 0.206
Epoch 7 Batch 209/269 - Train Accuracy: 0.871, Validation Accuracy: 0.852, Loss: 0.200
Epoch 7 Batch 210/269 - Train Accuracy: 0.870, Validation Accuracy: 0.856, Loss: 0.191
Epoch 7 Batch 211/269 - Train Accuracy: 0.865, Validation Accuracy: 0.857, Loss: 0.198
Epoch 7 Batch 212/269 - Train Accuracy: 0.851, Validation Accuracy: 0.855, Loss: 0.194
Epoch 7 Batch 213/269 - Train Accuracy: 0.860, Validation Accuracy: 0.851, Loss: 0.199
Epoch 7 Batch 214/269 - Train Accuracy: 0.852, Validation Accuracy: 0.854, Loss: 0.203
Epoch 7 Batch 215/269 - Train Accuracy: 0.870, Validation Accuracy: 0.858, Loss: 0.182
Epoch 7 Batch 216/269 - Train Accuracy: 0.835, Validation Accuracy: 0.855, Loss: 0.225
Epoch 7 Batch 217/269 - Train Accuracy: 0.840, Validation Accuracy: 0.839, Loss: 0.213
Epoch 7 Batch 218/269 - Train Accuracy: 0.863, Validation Accuracy: 0.855, Loss: 0.209
Epoch 7 Batch 219/269 - Train Accuracy: 0.870, Validation Accuracy: 0.857, Loss: 0.206
Epoch 7 Batch 220/269 - Train Accuracy: 0.865, Validation Accuracy: 0.858, Loss: 0.184
Epoch 7 Batch 221/269 - Train Accuracy: 0.876, Validation Accuracy: 0.860, Loss: 0.203
Epoch 7 Batch 222/269 - Train Accuracy: 0.873, Validation Accuracy: 0.858, Loss: 0.188
Epoch 7 Batch 223/269 - Train Accuracy: 0.869, Validation Accuracy: 0.854, Loss: 0.187
Epoch 7 Batch 224/269 - Train Accuracy: 0.863, Validation Accuracy: 0.851, Loss: 0.204
Epoch 7 Batch 225/269 - Train Accuracy: 0.849, Validation Accuracy: 0.850, Loss: 0.196
Epoch 7 Batch 226/269 - Train Accuracy: 0.867, Validation Accuracy: 0.858, Loss: 0.195
Epoch 7 Batch 227/269 - Train Accuracy: 0.880, Validation Accuracy: 0.863, Loss: 0.185
Epoch 7 Batch 228/269 - Train Accuracy: 0.853, Validation Accuracy: 0.857, Loss: 0.196
Epoch 7 Batch 229/269 - Train Accuracy: 0.855, Validation Accuracy: 0.863, Loss: 0.192
Epoch 7 Batch 230/269 - Train Accuracy: 0.852, Validation Accuracy: 0.855, Loss: 0.196
Epoch 7 Batch 231/269 - Train Accuracy: 0.853, Validation Accuracy: 0.851, Loss: 0.216
Epoch 7 Batch 232/269 - Train Accuracy: 0.829, Validation Accuracy: 0.848, Loss: 0.212
Epoch 7 Batch 233/269 - Train Accuracy: 0.878, Validation Accuracy: 0.869, Loss: 0.207
Epoch 7 Batch 234/269 - Train Accuracy: 0.851, Validation Accuracy: 0.851, Loss: 0.193
Epoch 7 Batch 235/269 - Train Accuracy: 0.880, Validation Accuracy: 0.864, Loss: 0.188
Epoch 7 Batch 236/269 - Train Accuracy: 0.850, Validation Accuracy: 0.864, Loss: 0.187
Epoch 7 Batch 237/269 - Train Accuracy: 0.860, Validation Accuracy: 0.849, Loss: 0.191
Epoch 7 Batch 238/269 - Train Accuracy: 0.866, Validation Accuracy: 0.857, Loss: 0.194
Epoch 7 Batch 239/269 - Train Accuracy: 0.865, Validation Accuracy: 0.861, Loss: 0.190
Epoch 7 Batch 240/269 - Train Accuracy: 0.881, Validation Accuracy: 0.848, Loss: 0.178
Epoch 7 Batch 241/269 - Train Accuracy: 0.867, Validation Accuracy: 0.856, Loss: 0.199
Epoch 7 Batch 242/269 - Train Accuracy: 0.880, Validation Accuracy: 0.860, Loss: 0.183
Epoch 7 Batch 243/269 - Train Accuracy: 0.888, Validation Accuracy: 0.856, Loss: 0.179
Epoch 7 Batch 244/269 - Train Accuracy: 0.875, Validation Accuracy: 0.868, Loss: 0.193
Epoch 7 Batch 245/269 - Train Accuracy: 0.856, Validation Accuracy: 0.865, Loss: 0.199
Epoch 7 Batch 246/269 - Train Accuracy: 0.847, Validation Accuracy: 0.856, Loss: 0.190
Epoch 7 Batch 247/269 - Train Accuracy: 0.875, Validation Accuracy: 0.865, Loss: 0.189
Epoch 7 Batch 248/269 - Train Accuracy: 0.867, Validation Accuracy: 0.863, Loss: 0.182
Epoch 7 Batch 249/269 - Train Accuracy: 0.881, Validation Accuracy: 0.859, Loss: 0.181
Epoch 7 Batch 250/269 - Train Accuracy: 0.875, Validation Accuracy: 0.867, Loss: 0.191
Epoch 7 Batch 251/269 - Train Accuracy: 0.890, Validation Accuracy: 0.862, Loss: 0.183
Epoch 7 Batch 252/269 - Train Accuracy: 0.871, Validation Accuracy: 0.862, Loss: 0.183
Epoch 7 Batch 253/269 - Train Accuracy: 0.847, Validation Accuracy: 0.868, Loss: 0.196
Epoch 7 Batch 254/269 - Train Accuracy: 0.880, Validation Accuracy: 0.869, Loss: 0.187
Epoch 7 Batch 255/269 - Train Accuracy: 0.865, Validation Accuracy: 0.865, Loss: 0.186
Epoch 7 Batch 256/269 - Train Accuracy: 0.865, Validation Accuracy: 0.866, Loss: 0.188
Epoch 7 Batch 257/269 - Train Accuracy: 0.856, Validation Accuracy: 0.863, Loss: 0.197
Epoch 7 Batch 258/269 - Train Accuracy: 0.877, Validation Accuracy: 0.863, Loss: 0.187
Epoch 7 Batch 259/269 - Train Accuracy: 0.865, Validation Accuracy: 0.870, Loss: 0.187
Epoch 7 Batch 260/269 - Train Accuracy: 0.849, Validation Accuracy: 0.870, Loss: 0.197
Epoch 7 Batch 261/269 - Train Accuracy: 0.862, Validation Accuracy: 0.860, Loss: 0.195
Epoch 7 Batch 262/269 - Train Accuracy: 0.875, Validation Accuracy: 0.874, Loss: 0.191
Epoch 7 Batch 263/269 - Train Accuracy: 0.872, Validation Accuracy: 0.874, Loss: 0.198
Epoch 7 Batch 264/269 - Train Accuracy: 0.833, Validation Accuracy: 0.868, Loss: 0.198
Epoch 7 Batch 265/269 - Train Accuracy: 0.876, Validation Accuracy: 0.873, Loss: 0.191
Epoch 7 Batch 266/269 - Train Accuracy: 0.871, Validation Accuracy: 0.870, Loss: 0.178
Epoch 7 Batch 267/269 - Train Accuracy: 0.865, Validation Accuracy: 0.870, Loss: 0.195
Epoch 8 Batch 0/269 - Train Accuracy: 0.871, Validation Accuracy: 0.870, Loss: 0.195
Epoch 8 Batch 1/269 - Train Accuracy: 0.873, Validation Accuracy: 0.873, Loss: 0.187
Epoch 8 Batch 2/269 - Train Accuracy: 0.878, Validation Accuracy: 0.872, Loss: 0.188
Epoch 8 Batch 3/269 - Train Accuracy: 0.874, Validation Accuracy: 0.871, Loss: 0.182
Epoch 8 Batch 4/269 - Train Accuracy: 0.865, Validation Accuracy: 0.871, Loss: 0.194
Epoch 8 Batch 5/269 - Train Accuracy: 0.873, Validation Accuracy: 0.861, Loss: 0.185
Epoch 8 Batch 6/269 - Train Accuracy: 0.878, Validation Accuracy: 0.868, Loss: 0.179
Epoch 8 Batch 7/269 - Train Accuracy: 0.870, Validation Accuracy: 0.866, Loss: 0.176
Epoch 8 Batch 8/269 - Train Accuracy: 0.877, Validation Accuracy: 0.870, Loss: 0.191
Epoch 8 Batch 9/269 - Train Accuracy: 0.872, Validation Accuracy: 0.871, Loss: 0.189
Epoch 8 Batch 10/269 - Train Accuracy: 0.877, Validation Accuracy: 0.869, Loss: 0.177
Epoch 8 Batch 11/269 - Train Accuracy: 0.874, Validation Accuracy: 0.864, Loss: 0.195
Epoch 8 Batch 12/269 - Train Accuracy: 0.850, Validation Accuracy: 0.856, Loss: 0.196
Epoch 8 Batch 13/269 - Train Accuracy: 0.865, Validation Accuracy: 0.858, Loss: 0.173
Epoch 8 Batch 14/269 - Train Accuracy: 0.859, Validation Accuracy: 0.860, Loss: 0.187
Epoch 8 Batch 15/269 - Train Accuracy: 0.883, Validation Accuracy: 0.861, Loss: 0.173
Epoch 8 Batch 16/269 - Train Accuracy: 0.867, Validation Accuracy: 0.868, Loss: 0.192
Epoch 8 Batch 17/269 - Train Accuracy: 0.873, Validation Accuracy: 0.869, Loss: 0.173
Epoch 8 Batch 18/269 - Train Accuracy: 0.856, Validation Accuracy: 0.861, Loss: 0.190
Epoch 8 Batch 19/269 - Train Accuracy: 0.885, Validation Accuracy: 0.865, Loss: 0.171
Epoch 8 Batch 20/269 - Train Accuracy: 0.879, Validation Accuracy: 0.869, Loss: 0.182
Epoch 8 Batch 21/269 - Train Accuracy: 0.859, Validation Accuracy: 0.866, Loss: 0.198
Epoch 8 Batch 22/269 - Train Accuracy: 0.884, Validation Accuracy: 0.872, Loss: 0.179
Epoch 8 Batch 23/269 - Train Accuracy: 0.875, Validation Accuracy: 0.872, Loss: 0.185
Epoch 8 Batch 24/269 - Train Accuracy: 0.882, Validation Accuracy: 0.870, Loss: 0.185
Epoch 8 Batch 25/269 - Train Accuracy: 0.879, Validation Accuracy: 0.869, Loss: 0.194
Epoch 8 Batch 26/269 - Train Accuracy: 0.873, Validation Accuracy: 0.869, Loss: 0.164
Epoch 8 Batch 27/269 - Train Accuracy: 0.861, Validation Accuracy: 0.867, Loss: 0.178
Epoch 8 Batch 28/269 - Train Accuracy: 0.844, Validation Accuracy: 0.872, Loss: 0.195
Epoch 8 Batch 29/269 - Train Accuracy: 0.878, Validation Accuracy: 0.868, Loss: 0.189
Epoch 8 Batch 30/269 - Train Accuracy: 0.869, Validation Accuracy: 0.869, Loss: 0.176
Epoch 8 Batch 31/269 - Train Accuracy: 0.871, Validation Accuracy: 0.868, Loss: 0.178
Epoch 8 Batch 32/269 - Train Accuracy: 0.877, Validation Accuracy: 0.866, Loss: 0.175
Epoch 8 Batch 33/269 - Train Accuracy: 0.870, Validation Accuracy: 0.861, Loss: 0.170
Epoch 8 Batch 34/269 - Train Accuracy: 0.868, Validation Accuracy: 0.868, Loss: 0.178
Epoch 8 Batch 35/269 - Train Accuracy: 0.864, Validation Accuracy: 0.868, Loss: 0.186
Epoch 8 Batch 36/269 - Train Accuracy: 0.858, Validation Accuracy: 0.865, Loss: 0.179
Epoch 8 Batch 37/269 - Train Accuracy: 0.868, Validation Accuracy: 0.865, Loss: 0.179
Epoch 8 Batch 38/269 - Train Accuracy: 0.878, Validation Accuracy: 0.867, Loss: 0.178
Epoch 8 Batch 39/269 - Train Accuracy: 0.885, Validation Accuracy: 0.868, Loss: 0.179
Epoch 8 Batch 40/269 - Train Accuracy: 0.855, Validation Accuracy: 0.859, Loss: 0.185
Epoch 8 Batch 41/269 - Train Accuracy: 0.858, Validation Accuracy: 0.860, Loss: 0.190
Epoch 8 Batch 42/269 - Train Accuracy: 0.880, Validation Accuracy: 0.867, Loss: 0.173
Epoch 8 Batch 43/269 - Train Accuracy: 0.877, Validation Accuracy: 0.868, Loss: 0.184
Epoch 8 Batch 44/269 - Train Accuracy: 0.866, Validation Accuracy: 0.869, Loss: 0.177
Epoch 8 Batch 45/269 - Train Accuracy: 0.859, Validation Accuracy: 0.862, Loss: 0.188
Epoch 8 Batch 46/269 - Train Accuracy: 0.869, Validation Accuracy: 0.863, Loss: 0.187
Epoch 8 Batch 47/269 - Train Accuracy: 0.887, Validation Accuracy: 0.872, Loss: 0.171
Epoch 8 Batch 48/269 - Train Accuracy: 0.892, Validation Accuracy: 0.865, Loss: 0.173
Epoch 8 Batch 49/269 - Train Accuracy: 0.871, Validation Accuracy: 0.869, Loss: 0.182
Epoch 8 Batch 50/269 - Train Accuracy: 0.848, Validation Accuracy: 0.859, Loss: 0.194
Epoch 8 Batch 51/269 - Train Accuracy: 0.868, Validation Accuracy: 0.865, Loss: 0.184
Epoch 8 Batch 52/269 - Train Accuracy: 0.863, Validation Accuracy: 0.870, Loss: 0.171
Epoch 8 Batch 53/269 - Train Accuracy: 0.889, Validation Accuracy: 0.865, Loss: 0.189
Epoch 8 Batch 54/269 - Train Accuracy: 0.880, Validation Accuracy: 0.870, Loss: 0.175
Epoch 8 Batch 55/269 - Train Accuracy: 0.894, Validation Accuracy: 0.863, Loss: 0.174
Epoch 8 Batch 56/269 - Train Accuracy: 0.870, Validation Accuracy: 0.863, Loss: 0.180
Epoch 8 Batch 57/269 - Train Accuracy: 0.874, Validation Accuracy: 0.868, Loss: 0.186
Epoch 8 Batch 58/269 - Train Accuracy: 0.868, Validation Accuracy: 0.868, Loss: 0.171
Epoch 8 Batch 59/269 - Train Accuracy: 0.900, Validation Accuracy: 0.869, Loss: 0.158
Epoch 8 Batch 60/269 - Train Accuracy: 0.875, Validation Accuracy: 0.870, Loss: 0.167
Epoch 8 Batch 61/269 - Train Accuracy: 0.888, Validation Accuracy: 0.870, Loss: 0.161
Epoch 8 Batch 62/269 - Train Accuracy: 0.882, Validation Accuracy: 0.868, Loss: 0.173
Epoch 8 Batch 63/269 - Train Accuracy: 0.877, Validation Accuracy: 0.870, Loss: 0.183
Epoch 8 Batch 64/269 - Train Accuracy: 0.873, Validation Accuracy: 0.869, Loss: 0.165
Epoch 8 Batch 65/269 - Train Accuracy: 0.870, Validation Accuracy: 0.869, Loss: 0.168
Epoch 8 Batch 66/269 - Train Accuracy: 0.884, Validation Accuracy: 0.868, Loss: 0.172
Epoch 8 Batch 67/269 - Train Accuracy: 0.878, Validation Accuracy: 0.868, Loss: 0.183
Epoch 8 Batch 68/269 - Train Accuracy: 0.852, Validation Accuracy: 0.867, Loss: 0.186
Epoch 8 Batch 69/269 - Train Accuracy: 0.848, Validation Accuracy: 0.861, Loss: 0.201
Epoch 8 Batch 70/269 - Train Accuracy: 0.883, Validation Accuracy: 0.866, Loss: 0.181
Epoch 8 Batch 71/269 - Train Accuracy: 0.869, Validation Accuracy: 0.869, Loss: 0.188
Epoch 8 Batch 72/269 - Train Accuracy: 0.873, Validation Accuracy: 0.871, Loss: 0.182
Epoch 8 Batch 73/269 - Train Accuracy: 0.876, Validation Accuracy: 0.881, Loss: 0.185
Epoch 8 Batch 74/269 - Train Accuracy: 0.874, Validation Accuracy: 0.866, Loss: 0.174
Epoch 8 Batch 75/269 - Train Accuracy: 0.863, Validation Accuracy: 0.863, Loss: 0.175
Epoch 8 Batch 76/269 - Train Accuracy: 0.867, Validation Accuracy: 0.871, Loss: 0.180
Epoch 8 Batch 77/269 - Train Accuracy: 0.886, Validation Accuracy: 0.873, Loss: 0.167
Epoch 8 Batch 78/269 - Train Accuracy: 0.885, Validation Accuracy: 0.875, Loss: 0.174
Epoch 8 Batch 79/269 - Train Accuracy: 0.869, Validation Accuracy: 0.880, Loss: 0.173
Epoch 8 Batch 80/269 - Train Accuracy: 0.879, Validation Accuracy: 0.868, Loss: 0.166
Epoch 8 Batch 81/269 - Train Accuracy: 0.855, Validation Accuracy: 0.864, Loss: 0.184
Epoch 8 Batch 82/269 - Train Accuracy: 0.897, Validation Accuracy: 0.868, Loss: 0.158
Epoch 8 Batch 83/269 - Train Accuracy: 0.872, Validation Accuracy: 0.869, Loss: 0.179
Epoch 8 Batch 84/269 - Train Accuracy: 0.880, Validation Accuracy: 0.860, Loss: 0.172
Epoch 8 Batch 85/269 - Train Accuracy: 0.896, Validation Accuracy: 0.866, Loss: 0.174
Epoch 8 Batch 86/269 - Train Accuracy: 0.884, Validation Accuracy: 0.870, Loss: 0.168
Epoch 8 Batch 87/269 - Train Accuracy: 0.872, Validation Accuracy: 0.868, Loss: 0.184
Epoch 8 Batch 88/269 - Train Accuracy: 0.855, Validation Accuracy: 0.875, Loss: 0.177
Epoch 8 Batch 89/269 - Train Accuracy: 0.888, Validation Accuracy: 0.871, Loss: 0.175
Epoch 8 Batch 90/269 - Train Accuracy: 0.872, Validation Accuracy: 0.877, Loss: 0.188
Epoch 8 Batch 91/269 - Train Accuracy: 0.893, Validation Accuracy: 0.879, Loss: 0.167
Epoch 8 Batch 92/269 - Train Accuracy: 0.895, Validation Accuracy: 0.874, Loss: 0.163
Epoch 8 Batch 93/269 - Train Accuracy: 0.877, Validation Accuracy: 0.867, Loss: 0.168
Epoch 8 Batch 94/269 - Train Accuracy: 0.867, Validation Accuracy: 0.873, Loss: 0.186
Epoch 8 Batch 95/269 - Train Accuracy: 0.882, Validation Accuracy: 0.877, Loss: 0.171
Epoch 8 Batch 96/269 - Train Accuracy: 0.869, Validation Accuracy: 0.870, Loss: 0.174
Epoch 8 Batch 97/269 - Train Accuracy: 0.890, Validation Accuracy: 0.874, Loss: 0.174
Epoch 8 Batch 98/269 - Train Accuracy: 0.886, Validation Accuracy: 0.869, Loss: 0.175
Epoch 8 Batch 99/269 - Train Accuracy: 0.868, Validation Accuracy: 0.871, Loss: 0.174
Epoch 8 Batch 100/269 - Train Accuracy: 0.883, Validation Accuracy: 0.873, Loss: 0.168
Epoch 8 Batch 101/269 - Train Accuracy: 0.867, Validation Accuracy: 0.871, Loss: 0.184
Epoch 8 Batch 102/269 - Train Accuracy: 0.887, Validation Accuracy: 0.874, Loss: 0.163
Epoch 8 Batch 103/269 - Train Accuracy: 0.876, Validation Accuracy: 0.873, Loss: 0.179
Epoch 8 Batch 104/269 - Train Accuracy: 0.880, Validation Accuracy: 0.877, Loss: 0.170
Epoch 8 Batch 105/269 - Train Accuracy: 0.870, Validation Accuracy: 0.870, Loss: 0.176
Epoch 8 Batch 106/269 - Train Accuracy: 0.882, Validation Accuracy: 0.872, Loss: 0.163
Epoch 8 Batch 107/269 - Train Accuracy: 0.890, Validation Accuracy: 0.877, Loss: 0.182
Epoch 8 Batch 108/269 - Train Accuracy: 0.883, Validation Accuracy: 0.871, Loss: 0.168
Epoch 8 Batch 109/269 - Train Accuracy: 0.853, Validation Accuracy: 0.858, Loss: 0.177
Epoch 8 Batch 110/269 - Train Accuracy: 0.881, Validation Accuracy: 0.873, Loss: 0.167
Epoch 8 Batch 111/269 - Train Accuracy: 0.872, Validation Accuracy: 0.876, Loss: 0.189
Epoch 8 Batch 112/269 - Train Accuracy: 0.868, Validation Accuracy: 0.853, Loss: 0.172
Epoch 8 Batch 113/269 - Train Accuracy: 0.862, Validation Accuracy: 0.871, Loss: 0.171
Epoch 8 Batch 114/269 - Train Accuracy: 0.880, Validation Accuracy: 0.867, Loss: 0.169
Epoch 8 Batch 115/269 - Train Accuracy: 0.867, Validation Accuracy: 0.854, Loss: 0.178
Epoch 8 Batch 116/269 - Train Accuracy: 0.884, Validation Accuracy: 0.876, Loss: 0.178
Epoch 8 Batch 117/269 - Train Accuracy: 0.872, Validation Accuracy: 0.871, Loss: 0.169
Epoch 8 Batch 118/269 - Train Accuracy: 0.888, Validation Accuracy: 0.866, Loss: 0.165
Epoch 8 Batch 119/269 - Train Accuracy: 0.858, Validation Accuracy: 0.871, Loss: 0.180
Epoch 8 Batch 120/269 - Train Accuracy: 0.887, Validation Accuracy: 0.871, Loss: 0.172
Epoch 8 Batch 121/269 - Train Accuracy: 0.877, Validation Accuracy: 0.870, Loss: 0.169
Epoch 8 Batch 122/269 - Train Accuracy: 0.875, Validation Accuracy: 0.867, Loss: 0.167
Epoch 8 Batch 123/269 - Train Accuracy: 0.882, Validation Accuracy: 0.875, Loss: 0.179
Epoch 8 Batch 124/269 - Train Accuracy: 0.885, Validation Accuracy: 0.871, Loss: 0.163
Epoch 8 Batch 125/269 - Train Accuracy: 0.895, Validation Accuracy: 0.886, Loss: 0.157
Epoch 8 Batch 126/269 - Train Accuracy: 0.875, Validation Accuracy: 0.876, Loss: 0.165
Epoch 8 Batch 127/269 - Train Accuracy: 0.876, Validation Accuracy: 0.879, Loss: 0.172
Epoch 8 Batch 128/269 - Train Accuracy: 0.879, Validation Accuracy: 0.869, Loss: 0.171
Epoch 8 Batch 129/269 - Train Accuracy: 0.866, Validation Accuracy: 0.875, Loss: 0.170
Epoch 8 Batch 130/269 - Train Accuracy: 0.886, Validation Accuracy: 0.881, Loss: 0.171
Epoch 8 Batch 131/269 - Train Accuracy: 0.861, Validation Accuracy: 0.878, Loss: 0.167
Epoch 8 Batch 132/269 - Train Accuracy: 0.867, Validation Accuracy: 0.877, Loss: 0.177
Epoch 8 Batch 133/269 - Train Accuracy: 0.896, Validation Accuracy: 0.874, Loss: 0.160
Epoch 8 Batch 134/269 - Train Accuracy: 0.877, Validation Accuracy: 0.876, Loss: 0.167
Epoch 8 Batch 135/269 - Train Accuracy: 0.878, Validation Accuracy: 0.876, Loss: 0.179
Epoch 8 Batch 136/269 - Train Accuracy: 0.863, Validation Accuracy: 0.877, Loss: 0.174
Epoch 8 Batch 137/269 - Train Accuracy: 0.868, Validation Accuracy: 0.873, Loss: 0.180
Epoch 8 Batch 138/269 - Train Accuracy: 0.889, Validation Accuracy: 0.871, Loss: 0.166
Epoch 8 Batch 139/269 - Train Accuracy: 0.895, Validation Accuracy: 0.873, Loss: 0.157
Epoch 8 Batch 140/269 - Train Accuracy: 0.879, Validation Accuracy: 0.867, Loss: 0.173
Epoch 8 Batch 141/269 - Train Accuracy: 0.880, Validation Accuracy: 0.866, Loss: 0.171
Epoch 8 Batch 142/269 - Train Accuracy: 0.875, Validation Accuracy: 0.876, Loss: 0.157
Epoch 8 Batch 143/269 - Train Accuracy: 0.888, Validation Accuracy: 0.875, Loss: 0.157
Epoch 8 Batch 144/269 - Train Accuracy: 0.882, Validation Accuracy: 0.878, Loss: 0.149
Epoch 8 Batch 145/269 - Train Accuracy: 0.898, Validation Accuracy: 0.872, Loss: 0.157
Epoch 8 Batch 146/269 - Train Accuracy: 0.885, Validation Accuracy: 0.874, Loss: 0.160
Epoch 8 Batch 147/269 - Train Accuracy: 0.900, Validation Accuracy: 0.874, Loss: 0.165
Epoch 8 Batch 148/269 - Train Accuracy: 0.874, Validation Accuracy: 0.867, Loss: 0.166
Epoch 8 Batch 149/269 - Train Accuracy: 0.875, Validation Accuracy: 0.872, Loss: 0.173
Epoch 8 Batch 150/269 - Train Accuracy: 0.884, Validation Accuracy: 0.871, Loss: 0.170
Epoch 8 Batch 151/269 - Train Accuracy: 0.876, Validation Accuracy: 0.867, Loss: 0.159
Epoch 8 Batch 152/269 - Train Accuracy: 0.880, Validation Accuracy: 0.874, Loss: 0.166
Epoch 8 Batch 153/269 - Train Accuracy: 0.882, Validation Accuracy: 0.872, Loss: 0.164
Epoch 8 Batch 154/269 - Train Accuracy: 0.889, Validation Accuracy: 0.872, Loss: 0.161
Epoch 8 Batch 155/269 - Train Accuracy: 0.887, Validation Accuracy: 0.876, Loss: 0.157
Epoch 8 Batch 156/269 - Train Accuracy: 0.875, Validation Accuracy: 0.882, Loss: 0.164
Epoch 8 Batch 157/269 - Train Accuracy: 0.871, Validation Accuracy: 0.884, Loss: 0.157
Epoch 8 Batch 158/269 - Train Accuracy: 0.891, Validation Accuracy: 0.886, Loss: 0.160
Epoch 8 Batch 159/269 - Train Accuracy: 0.869, Validation Accuracy: 0.873, Loss: 0.165
Epoch 8 Batch 160/269 - Train Accuracy: 0.884, Validation Accuracy: 0.885, Loss: 0.160
Epoch 8 Batch 161/269 - Train Accuracy: 0.887, Validation Accuracy: 0.884, Loss: 0.160
Epoch 8 Batch 162/269 - Train Accuracy: 0.891, Validation Accuracy: 0.875, Loss: 0.163
Epoch 8 Batch 163/269 - Train Accuracy: 0.888, Validation Accuracy: 0.879, Loss: 0.164
Epoch 8 Batch 164/269 - Train Accuracy: 0.898, Validation Accuracy: 0.884, Loss: 0.160
Epoch 8 Batch 165/269 - Train Accuracy: 0.893, Validation Accuracy: 0.886, Loss: 0.161
Epoch 8 Batch 166/269 - Train Accuracy: 0.886, Validation Accuracy: 0.877, Loss: 0.160
Epoch 8 Batch 167/269 - Train Accuracy: 0.886, Validation Accuracy: 0.879, Loss: 0.157
Epoch 8 Batch 168/269 - Train Accuracy: 0.880, Validation Accuracy: 0.885, Loss: 0.162
Epoch 8 Batch 169/269 - Train Accuracy: 0.882, Validation Accuracy: 0.883, Loss: 0.161
Epoch 8 Batch 170/269 - Train Accuracy: 0.876, Validation Accuracy: 0.882, Loss: 0.149
Epoch 8 Batch 171/269 - Train Accuracy: 0.904, Validation Accuracy: 0.878, Loss: 0.159
Epoch 8 Batch 172/269 - Train Accuracy: 0.881, Validation Accuracy: 0.886, Loss: 0.173
Epoch 8 Batch 173/269 - Train Accuracy: 0.897, Validation Accuracy: 0.879, Loss: 0.152
Epoch 8 Batch 174/269 - Train Accuracy: 0.890, Validation Accuracy: 0.882, Loss: 0.163
Epoch 8 Batch 175/269 - Train Accuracy: 0.876, Validation Accuracy: 0.872, Loss: 0.174
Epoch 8 Batch 176/269 - Train Accuracy: 0.881, Validation Accuracy: 0.879, Loss: 0.176
Epoch 8 Batch 177/269 - Train Accuracy: 0.889, Validation Accuracy: 0.882, Loss: 0.152
Epoch 8 Batch 178/269 - Train Accuracy: 0.886, Validation Accuracy: 0.880, Loss: 0.153
Epoch 8 Batch 179/269 - Train Accuracy: 0.866, Validation Accuracy: 0.883, Loss: 0.161
Epoch 8 Batch 180/269 - Train Accuracy: 0.885, Validation Accuracy: 0.881, Loss: 0.157
Epoch 8 Batch 181/269 - Train Accuracy: 0.886, Validation Accuracy: 0.876, Loss: 0.170
Epoch 8 Batch 182/269 - Train Accuracy: 0.880, Validation Accuracy: 0.880, Loss: 0.162
Epoch 8 Batch 183/269 - Train Accuracy: 0.909, Validation Accuracy: 0.880, Loss: 0.138
Epoch 8 Batch 184/269 - Train Accuracy: 0.890, Validation Accuracy: 0.889, Loss: 0.161
Epoch 8 Batch 185/269 - Train Accuracy: 0.906, Validation Accuracy: 0.893, Loss: 0.157
Epoch 8 Batch 186/269 - Train Accuracy: 0.871, Validation Accuracy: 0.885, Loss: 0.157
Epoch 8 Batch 187/269 - Train Accuracy: 0.878, Validation Accuracy: 0.888, Loss: 0.160
Epoch 8 Batch 188/269 - Train Accuracy: 0.896, Validation Accuracy: 0.891, Loss: 0.151
Epoch 8 Batch 189/269 - Train Accuracy: 0.889, Validation Accuracy: 0.884, Loss: 0.150
Epoch 8 Batch 190/269 - Train Accuracy: 0.887, Validation Accuracy: 0.879, Loss: 0.151
Epoch 8 Batch 191/269 - Train Accuracy: 0.881, Validation Accuracy: 0.883, Loss: 0.153
Epoch 8 Batch 192/269 - Train Accuracy: 0.895, Validation Accuracy: 0.882, Loss: 0.157
Epoch 8 Batch 193/269 - Train Accuracy: 0.902, Validation Accuracy: 0.882, Loss: 0.156
Epoch 8 Batch 194/269 - Train Accuracy: 0.887, Validation Accuracy: 0.887, Loss: 0.161
Epoch 8 Batch 195/269 - Train Accuracy: 0.881, Validation Accuracy: 0.893, Loss: 0.155
Epoch 8 Batch 196/269 - Train Accuracy: 0.874, Validation Accuracy: 0.881, Loss: 0.159
Epoch 8 Batch 197/269 - Train Accuracy: 0.870, Validation Accuracy: 0.879, Loss: 0.170
Epoch 8 Batch 198/269 - Train Accuracy: 0.877, Validation Accuracy: 0.883, Loss: 0.165
Epoch 8 Batch 199/269 - Train Accuracy: 0.874, Validation Accuracy: 0.879, Loss: 0.164
Epoch 8 Batch 200/269 - Train Accuracy: 0.884, Validation Accuracy: 0.881, Loss: 0.160
Epoch 8 Batch 201/269 - Train Accuracy: 0.890, Validation Accuracy: 0.880, Loss: 0.161
Epoch 8 Batch 202/269 - Train Accuracy: 0.880, Validation Accuracy: 0.873, Loss: 0.158
Epoch 8 Batch 203/269 - Train Accuracy: 0.889, Validation Accuracy: 0.876, Loss: 0.168
Epoch 8 Batch 204/269 - Train Accuracy: 0.883, Validation Accuracy: 0.883, Loss: 0.162
Epoch 8 Batch 205/269 - Train Accuracy: 0.888, Validation Accuracy: 0.877, Loss: 0.155
Epoch 8 Batch 206/269 - Train Accuracy: 0.875, Validation Accuracy: 0.882, Loss: 0.165
Epoch 8 Batch 207/269 - Train Accuracy: 0.882, Validation Accuracy: 0.874, Loss: 0.156
Epoch 8 Batch 208/269 - Train Accuracy: 0.896, Validation Accuracy: 0.873, Loss: 0.159
Epoch 8 Batch 209/269 - Train Accuracy: 0.898, Validation Accuracy: 0.868, Loss: 0.152
Epoch 8 Batch 210/269 - Train Accuracy: 0.891, Validation Accuracy: 0.875, Loss: 0.151
Epoch 8 Batch 211/269 - Train Accuracy: 0.888, Validation Accuracy: 0.879, Loss: 0.162
Epoch 8 Batch 212/269 - Train Accuracy: 0.885, Validation Accuracy: 0.879, Loss: 0.160
Epoch 8 Batch 213/269 - Train Accuracy: 0.885, Validation Accuracy: 0.874, Loss: 0.157
Epoch 8 Batch 214/269 - Train Accuracy: 0.875, Validation Accuracy: 0.870, Loss: 0.155
Epoch 8 Batch 215/269 - Train Accuracy: 0.899, Validation Accuracy: 0.883, Loss: 0.151
Epoch 8 Batch 216/269 - Train Accuracy: 0.875, Validation Accuracy: 0.877, Loss: 0.178
Epoch 8 Batch 217/269 - Train Accuracy: 0.883, Validation Accuracy: 0.881, Loss: 0.163
Epoch 8 Batch 218/269 - Train Accuracy: 0.889, Validation Accuracy: 0.884, Loss: 0.155
Epoch 8 Batch 219/269 - Train Accuracy: 0.890, Validation Accuracy: 0.874, Loss: 0.158
Epoch 8 Batch 220/269 - Train Accuracy: 0.894, Validation Accuracy: 0.889, Loss: 0.148
Epoch 8 Batch 221/269 - Train Accuracy: 0.894, Validation Accuracy: 0.879, Loss: 0.157
Epoch 8 Batch 222/269 - Train Accuracy: 0.904, Validation Accuracy: 0.892, Loss: 0.152
Epoch 8 Batch 223/269 - Train Accuracy: 0.890, Validation Accuracy: 0.888, Loss: 0.146
Epoch 8 Batch 224/269 - Train Accuracy: 0.891, Validation Accuracy: 0.883, Loss: 0.163
Epoch 8 Batch 225/269 - Train Accuracy: 0.879, Validation Accuracy: 0.889, Loss: 0.154
Epoch 8 Batch 226/269 - Train Accuracy: 0.892, Validation Accuracy: 0.878, Loss: 0.154
Epoch 8 Batch 227/269 - Train Accuracy: 0.910, Validation Accuracy: 0.890, Loss: 0.148
Epoch 8 Batch 228/269 - Train Accuracy: 0.885, Validation Accuracy: 0.884, Loss: 0.152
Epoch 8 Batch 229/269 - Train Accuracy: 0.877, Validation Accuracy: 0.887, Loss: 0.151
Epoch 8 Batch 230/269 - Train Accuracy: 0.887, Validation Accuracy: 0.886, Loss: 0.156
Epoch 8 Batch 231/269 - Train Accuracy: 0.888, Validation Accuracy: 0.881, Loss: 0.162
Epoch 8 Batch 232/269 - Train Accuracy: 0.881, Validation Accuracy: 0.882, Loss: 0.156
Epoch 8 Batch 233/269 - Train Accuracy: 0.897, Validation Accuracy: 0.887, Loss: 0.164
Epoch 8 Batch 234/269 - Train Accuracy: 0.888, Validation Accuracy: 0.884, Loss: 0.152
Epoch 8 Batch 235/269 - Train Accuracy: 0.908, Validation Accuracy: 0.887, Loss: 0.142
Epoch 8 Batch 236/269 - Train Accuracy: 0.881, Validation Accuracy: 0.883, Loss: 0.151
Epoch 8 Batch 237/269 - Train Accuracy: 0.898, Validation Accuracy: 0.879, Loss: 0.151
Epoch 8 Batch 238/269 - Train Accuracy: 0.900, Validation Accuracy: 0.890, Loss: 0.151
Epoch 8 Batch 239/269 - Train Accuracy: 0.892, Validation Accuracy: 0.886, Loss: 0.150
Epoch 8 Batch 240/269 - Train Accuracy: 0.895, Validation Accuracy: 0.883, Loss: 0.138
Epoch 8 Batch 241/269 - Train Accuracy: 0.889, Validation Accuracy: 0.885, Loss: 0.157
Epoch 8 Batch 242/269 - Train Accuracy: 0.892, Validation Accuracy: 0.883, Loss: 0.148
Epoch 8 Batch 243/269 - Train Accuracy: 0.909, Validation Accuracy: 0.893, Loss: 0.141
Epoch 8 Batch 244/269 - Train Accuracy: 0.892, Validation Accuracy: 0.891, Loss: 0.148
Epoch 8 Batch 245/269 - Train Accuracy: 0.867, Validation Accuracy: 0.889, Loss: 0.156
Epoch 8 Batch 246/269 - Train Accuracy: 0.881, Validation Accuracy: 0.892, Loss: 0.154
Epoch 8 Batch 247/269 - Train Accuracy: 0.901, Validation Accuracy: 0.883, Loss: 0.153
Epoch 8 Batch 248/269 - Train Accuracy: 0.903, Validation Accuracy: 0.900, Loss: 0.148
Epoch 8 Batch 249/269 - Train Accuracy: 0.901, Validation Accuracy: 0.892, Loss: 0.139
Epoch 8 Batch 250/269 - Train Accuracy: 0.904, Validation Accuracy: 0.884, Loss: 0.154
Epoch 8 Batch 251/269 - Train Accuracy: 0.920, Validation Accuracy: 0.898, Loss: 0.145
Epoch 8 Batch 252/269 - Train Accuracy: 0.883, Validation Accuracy: 0.894, Loss: 0.147
Epoch 8 Batch 253/269 - Train Accuracy: 0.868, Validation Accuracy: 0.895, Loss: 0.158
Epoch 8 Batch 254/269 - Train Accuracy: 0.906, Validation Accuracy: 0.891, Loss: 0.148
Epoch 8 Batch 255/269 - Train Accuracy: 0.890, Validation Accuracy: 0.893, Loss: 0.142
Epoch 8 Batch 256/269 - Train Accuracy: 0.890, Validation Accuracy: 0.890, Loss: 0.146
Epoch 8 Batch 257/269 - Train Accuracy: 0.885, Validation Accuracy: 0.892, Loss: 0.154
Epoch 8 Batch 258/269 - Train Accuracy: 0.907, Validation Accuracy: 0.887, Loss: 0.150
Epoch 8 Batch 259/269 - Train Accuracy: 0.894, Validation Accuracy: 0.893, Loss: 0.150
Epoch 8 Batch 260/269 - Train Accuracy: 0.872, Validation Accuracy: 0.892, Loss: 0.157
Epoch 8 Batch 261/269 - Train Accuracy: 0.889, Validation Accuracy: 0.893, Loss: 0.153
Epoch 8 Batch 262/269 - Train Accuracy: 0.897, Validation Accuracy: 0.891, Loss: 0.148
Epoch 8 Batch 263/269 - Train Accuracy: 0.894, Validation Accuracy: 0.896, Loss: 0.159
Epoch 8 Batch 264/269 - Train Accuracy: 0.875, Validation Accuracy: 0.892, Loss: 0.155
Epoch 8 Batch 265/269 - Train Accuracy: 0.903, Validation Accuracy: 0.893, Loss: 0.152
Epoch 8 Batch 266/269 - Train Accuracy: 0.893, Validation Accuracy: 0.888, Loss: 0.143
Epoch 8 Batch 267/269 - Train Accuracy: 0.891, Validation Accuracy: 0.888, Loss: 0.155
Epoch 9 Batch 0/269 - Train Accuracy: 0.902, Validation Accuracy: 0.882, Loss: 0.156
Epoch 9 Batch 1/269 - Train Accuracy: 0.892, Validation Accuracy: 0.886, Loss: 0.152
Epoch 9 Batch 2/269 - Train Accuracy: 0.895, Validation Accuracy: 0.892, Loss: 0.151
Epoch 9 Batch 3/269 - Train Accuracy: 0.909, Validation Accuracy: 0.893, Loss: 0.145
Epoch 9 Batch 4/269 - Train Accuracy: 0.881, Validation Accuracy: 0.886, Loss: 0.156
Epoch 9 Batch 5/269 - Train Accuracy: 0.892, Validation Accuracy: 0.886, Loss: 0.148
Epoch 9 Batch 6/269 - Train Accuracy: 0.902, Validation Accuracy: 0.890, Loss: 0.143
Epoch 9 Batch 7/269 - Train Accuracy: 0.903, Validation Accuracy: 0.891, Loss: 0.140
Epoch 9 Batch 8/269 - Train Accuracy: 0.907, Validation Accuracy: 0.890, Loss: 0.153
Epoch 9 Batch 9/269 - Train Accuracy: 0.890, Validation Accuracy: 0.891, Loss: 0.153
Epoch 9 Batch 10/269 - Train Accuracy: 0.909, Validation Accuracy: 0.892, Loss: 0.145
Epoch 9 Batch 11/269 - Train Accuracy: 0.904, Validation Accuracy: 0.894, Loss: 0.161
Epoch 9 Batch 12/269 - Train Accuracy: 0.881, Validation Accuracy: 0.884, Loss: 0.160
Epoch 9 Batch 13/269 - Train Accuracy: 0.888, Validation Accuracy: 0.880, Loss: 0.134
Epoch 9 Batch 14/269 - Train Accuracy: 0.885, Validation Accuracy: 0.892, Loss: 0.148
Epoch 9 Batch 15/269 - Train Accuracy: 0.894, Validation Accuracy: 0.881, Loss: 0.140
Epoch 9 Batch 16/269 - Train Accuracy: 0.890, Validation Accuracy: 0.884, Loss: 0.157
Epoch 9 Batch 17/269 - Train Accuracy: 0.900, Validation Accuracy: 0.898, Loss: 0.138
Epoch 9 Batch 18/269 - Train Accuracy: 0.891, Validation Accuracy: 0.897, Loss: 0.144
Epoch 9 Batch 19/269 - Train Accuracy: 0.896, Validation Accuracy: 0.892, Loss: 0.129
Epoch 9 Batch 20/269 - Train Accuracy: 0.900, Validation Accuracy: 0.893, Loss: 0.141
Epoch 9 Batch 21/269 - Train Accuracy: 0.888, Validation Accuracy: 0.895, Loss: 0.160
Epoch 9 Batch 22/269 - Train Accuracy: 0.908, Validation Accuracy: 0.896, Loss: 0.140
Epoch 9 Batch 23/269 - Train Accuracy: 0.896, Validation Accuracy: 0.896, Loss: 0.146
Epoch 9 Batch 24/269 - Train Accuracy: 0.900, Validation Accuracy: 0.894, Loss: 0.148
Epoch 9 Batch 25/269 - Train Accuracy: 0.895, Validation Accuracy: 0.882, Loss: 0.156
Epoch 9 Batch 26/269 - Train Accuracy: 0.895, Validation Accuracy: 0.883, Loss: 0.132
Epoch 9 Batch 27/269 - Train Accuracy: 0.883, Validation Accuracy: 0.889, Loss: 0.140
Epoch 9 Batch 28/269 - Train Accuracy: 0.869, Validation Accuracy: 0.890, Loss: 0.153
Epoch 9 Batch 29/269 - Train Accuracy: 0.909, Validation Accuracy: 0.886, Loss: 0.153
Epoch 9 Batch 30/269 - Train Accuracy: 0.902, Validation Accuracy: 0.881, Loss: 0.142
Epoch 9 Batch 31/269 - Train Accuracy: 0.897, Validation Accuracy: 0.893, Loss: 0.137
Epoch 9 Batch 32/269 - Train Accuracy: 0.897, Validation Accuracy: 0.889, Loss: 0.135
Epoch 9 Batch 33/269 - Train Accuracy: 0.895, Validation Accuracy: 0.888, Loss: 0.132
Epoch 9 Batch 34/269 - Train Accuracy: 0.898, Validation Accuracy: 0.890, Loss: 0.138
Epoch 9 Batch 35/269 - Train Accuracy: 0.886, Validation Accuracy: 0.891, Loss: 0.150
Epoch 9 Batch 36/269 - Train Accuracy: 0.886, Validation Accuracy: 0.883, Loss: 0.141
Epoch 9 Batch 37/269 - Train Accuracy: 0.896, Validation Accuracy: 0.886, Loss: 0.141
Epoch 9 Batch 38/269 - Train Accuracy: 0.892, Validation Accuracy: 0.892, Loss: 0.139
Epoch 9 Batch 39/269 - Train Accuracy: 0.903, Validation Accuracy: 0.895, Loss: 0.141
Epoch 9 Batch 40/269 - Train Accuracy: 0.884, Validation Accuracy: 0.896, Loss: 0.145
Epoch 9 Batch 41/269 - Train Accuracy: 0.895, Validation Accuracy: 0.894, Loss: 0.148
Epoch 9 Batch 42/269 - Train Accuracy: 0.901, Validation Accuracy: 0.901, Loss: 0.134
Epoch 9 Batch 43/269 - Train Accuracy: 0.909, Validation Accuracy: 0.896, Loss: 0.139
Epoch 9 Batch 44/269 - Train Accuracy: 0.893, Validation Accuracy: 0.895, Loss: 0.141
Epoch 9 Batch 45/269 - Train Accuracy: 0.908, Validation Accuracy: 0.898, Loss: 0.146
Epoch 9 Batch 46/269 - Train Accuracy: 0.895, Validation Accuracy: 0.895, Loss: 0.141
Epoch 9 Batch 47/269 - Train Accuracy: 0.909, Validation Accuracy: 0.896, Loss: 0.131
Epoch 9 Batch 48/269 - Train Accuracy: 0.914, Validation Accuracy: 0.896, Loss: 0.132
Epoch 9 Batch 49/269 - Train Accuracy: 0.893, Validation Accuracy: 0.900, Loss: 0.136
Epoch 9 Batch 50/269 - Train Accuracy: 0.884, Validation Accuracy: 0.897, Loss: 0.149
Epoch 9 Batch 51/269 - Train Accuracy: 0.902, Validation Accuracy: 0.899, Loss: 0.136
Epoch 9 Batch 52/269 - Train Accuracy: 0.886, Validation Accuracy: 0.900, Loss: 0.128
Epoch 9 Batch 53/269 - Train Accuracy: 0.910, Validation Accuracy: 0.900, Loss: 0.149
Epoch 9 Batch 54/269 - Train Accuracy: 0.908, Validation Accuracy: 0.893, Loss: 0.135
Epoch 9 Batch 55/269 - Train Accuracy: 0.907, Validation Accuracy: 0.898, Loss: 0.137
Epoch 9 Batch 56/269 - Train Accuracy: 0.894, Validation Accuracy: 0.890, Loss: 0.144
Epoch 9 Batch 57/269 - Train Accuracy: 0.901, Validation Accuracy: 0.897, Loss: 0.144
Epoch 9 Batch 58/269 - Train Accuracy: 0.893, Validation Accuracy: 0.895, Loss: 0.133
Epoch 9 Batch 59/269 - Train Accuracy: 0.925, Validation Accuracy: 0.897, Loss: 0.118
Epoch 9 Batch 60/269 - Train Accuracy: 0.905, Validation Accuracy: 0.896, Loss: 0.131
Epoch 9 Batch 61/269 - Train Accuracy: 0.903, Validation Accuracy: 0.886, Loss: 0.124
Epoch 9 Batch 62/269 - Train Accuracy: 0.892, Validation Accuracy: 0.900, Loss: 0.137
Epoch 9 Batch 63/269 - Train Accuracy: 0.902, Validation Accuracy: 0.899, Loss: 0.148
Epoch 9 Batch 64/269 - Train Accuracy: 0.906, Validation Accuracy: 0.900, Loss: 0.131
Epoch 9 Batch 65/269 - Train Accuracy: 0.894, Validation Accuracy: 0.899, Loss: 0.134
Epoch 9 Batch 66/269 - Train Accuracy: 0.904, Validation Accuracy: 0.898, Loss: 0.136
Epoch 9 Batch 67/269 - Train Accuracy: 0.898, Validation Accuracy: 0.897, Loss: 0.151
Epoch 9 Batch 68/269 - Train Accuracy: 0.884, Validation Accuracy: 0.893, Loss: 0.153
Epoch 9 Batch 69/269 - Train Accuracy: 0.881, Validation Accuracy: 0.901, Loss: 0.158
Epoch 9 Batch 70/269 - Train Accuracy: 0.907, Validation Accuracy: 0.897, Loss: 0.141
Epoch 9 Batch 71/269 - Train Accuracy: 0.897, Validation Accuracy: 0.898, Loss: 0.149
Epoch 9 Batch 72/269 - Train Accuracy: 0.891, Validation Accuracy: 0.890, Loss: 0.150
Epoch 9 Batch 73/269 - Train Accuracy: 0.906, Validation Accuracy: 0.901, Loss: 0.150
Epoch 9 Batch 74/269 - Train Accuracy: 0.903, Validation Accuracy: 0.899, Loss: 0.138
Epoch 9 Batch 75/269 - Train Accuracy: 0.894, Validation Accuracy: 0.896, Loss: 0.142
Epoch 9 Batch 76/269 - Train Accuracy: 0.888, Validation Accuracy: 0.892, Loss: 0.138
Epoch 9 Batch 77/269 - Train Accuracy: 0.909, Validation Accuracy: 0.895, Loss: 0.135
Epoch 9 Batch 78/269 - Train Accuracy: 0.898, Validation Accuracy: 0.895, Loss: 0.133
Epoch 9 Batch 79/269 - Train Accuracy: 0.891, Validation Accuracy: 0.888, Loss: 0.138
Epoch 9 Batch 80/269 - Train Accuracy: 0.902, Validation Accuracy: 0.886, Loss: 0.137
Epoch 9 Batch 81/269 - Train Accuracy: 0.880, Validation Accuracy: 0.886, Loss: 0.147
Epoch 9 Batch 82/269 - Train Accuracy: 0.911, Validation Accuracy: 0.894, Loss: 0.129
Epoch 9 Batch 83/269 - Train Accuracy: 0.897, Validation Accuracy: 0.892, Loss: 0.147
Epoch 9 Batch 84/269 - Train Accuracy: 0.894, Validation Accuracy: 0.880, Loss: 0.132
Epoch 9 Batch 85/269 - Train Accuracy: 0.906, Validation Accuracy: 0.872, Loss: 0.138
Epoch 9 Batch 86/269 - Train Accuracy: 0.899, Validation Accuracy: 0.894, Loss: 0.139
Epoch 9 Batch 87/269 - Train Accuracy: 0.885, Validation Accuracy: 0.890, Loss: 0.144
Epoch 9 Batch 88/269 - Train Accuracy: 0.888, Validation Accuracy: 0.896, Loss: 0.140
Epoch 9 Batch 89/269 - Train Accuracy: 0.917, Validation Accuracy: 0.898, Loss: 0.133
Epoch 9 Batch 90/269 - Train Accuracy: 0.892, Validation Accuracy: 0.890, Loss: 0.141
Epoch 9 Batch 91/269 - Train Accuracy: 0.917, Validation Accuracy: 0.897, Loss: 0.131
Epoch 9 Batch 92/269 - Train Accuracy: 0.903, Validation Accuracy: 0.890, Loss: 0.126
Epoch 9 Batch 93/269 - Train Accuracy: 0.897, Validation Accuracy: 0.887, Loss: 0.132
Epoch 9 Batch 94/269 - Train Accuracy: 0.884, Validation Accuracy: 0.898, Loss: 0.148
Epoch 9 Batch 95/269 - Train Accuracy: 0.901, Validation Accuracy: 0.888, Loss: 0.132
Epoch 9 Batch 96/269 - Train Accuracy: 0.882, Validation Accuracy: 0.889, Loss: 0.141
Epoch 9 Batch 97/269 - Train Accuracy: 0.906, Validation Accuracy: 0.893, Loss: 0.138
Epoch 9 Batch 98/269 - Train Accuracy: 0.909, Validation Accuracy: 0.898, Loss: 0.133
Epoch 9 Batch 99/269 - Train Accuracy: 0.900, Validation Accuracy: 0.891, Loss: 0.140
Epoch 9 Batch 100/269 - Train Accuracy: 0.902, Validation Accuracy: 0.891, Loss: 0.141
Epoch 9 Batch 101/269 - Train Accuracy: 0.884, Validation Accuracy: 0.902, Loss: 0.152
Epoch 9 Batch 102/269 - Train Accuracy: 0.894, Validation Accuracy: 0.893, Loss: 0.129
Epoch 9 Batch 103/269 - Train Accuracy: 0.895, Validation Accuracy: 0.896, Loss: 0.144
Epoch 9 Batch 104/269 - Train Accuracy: 0.906, Validation Accuracy: 0.907, Loss: 0.135
Epoch 9 Batch 105/269 - Train Accuracy: 0.882, Validation Accuracy: 0.887, Loss: 0.137
Epoch 9 Batch 106/269 - Train Accuracy: 0.903, Validation Accuracy: 0.898, Loss: 0.129
Epoch 9 Batch 107/269 - Train Accuracy: 0.900, Validation Accuracy: 0.896, Loss: 0.139
Epoch 9 Batch 108/269 - Train Accuracy: 0.905, Validation Accuracy: 0.902, Loss: 0.136
Epoch 9 Batch 109/269 - Train Accuracy: 0.885, Validation Accuracy: 0.900, Loss: 0.144
Epoch 9 Batch 110/269 - Train Accuracy: 0.888, Validation Accuracy: 0.898, Loss: 0.135
Epoch 9 Batch 111/269 - Train Accuracy: 0.894, Validation Accuracy: 0.903, Loss: 0.151
Epoch 9 Batch 112/269 - Train Accuracy: 0.913, Validation Accuracy: 0.894, Loss: 0.132
Epoch 9 Batch 113/269 - Train Accuracy: 0.890, Validation Accuracy: 0.895, Loss: 0.132
Epoch 9 Batch 114/269 - Train Accuracy: 0.901, Validation Accuracy: 0.895, Loss: 0.131
Epoch 9 Batch 115/269 - Train Accuracy: 0.890, Validation Accuracy: 0.891, Loss: 0.138
Epoch 9 Batch 116/269 - Train Accuracy: 0.909, Validation Accuracy: 0.896, Loss: 0.137
Epoch 9 Batch 117/269 - Train Accuracy: 0.897, Validation Accuracy: 0.899, Loss: 0.127
Epoch 9 Batch 118/269 - Train Accuracy: 0.912, Validation Accuracy: 0.900, Loss: 0.125
Epoch 9 Batch 119/269 - Train Accuracy: 0.889, Validation Accuracy: 0.894, Loss: 0.134
Epoch 9 Batch 120/269 - Train Accuracy: 0.908, Validation Accuracy: 0.897, Loss: 0.135
Epoch 9 Batch 121/269 - Train Accuracy: 0.901, Validation Accuracy: 0.897, Loss: 0.129
Epoch 9 Batch 122/269 - Train Accuracy: 0.900, Validation Accuracy: 0.894, Loss: 0.132
Epoch 9 Batch 123/269 - Train Accuracy: 0.906, Validation Accuracy: 0.900, Loss: 0.140
Epoch 9 Batch 124/269 - Train Accuracy: 0.904, Validation Accuracy: 0.905, Loss: 0.126
Epoch 9 Batch 125/269 - Train Accuracy: 0.911, Validation Accuracy: 0.904, Loss: 0.121
Epoch 9 Batch 126/269 - Train Accuracy: 0.885, Validation Accuracy: 0.904, Loss: 0.129
Epoch 9 Batch 127/269 - Train Accuracy: 0.898, Validation Accuracy: 0.900, Loss: 0.134
Epoch 9 Batch 128/269 - Train Accuracy: 0.897, Validation Accuracy: 0.899, Loss: 0.135
Epoch 9 Batch 129/269 - Train Accuracy: 0.877, Validation Accuracy: 0.886, Loss: 0.130
Epoch 9 Batch 130/269 - Train Accuracy: 0.912, Validation Accuracy: 0.898, Loss: 0.140
Epoch 9 Batch 131/269 - Train Accuracy: 0.880, Validation Accuracy: 0.890, Loss: 0.131
Epoch 9 Batch 132/269 - Train Accuracy: 0.885, Validation Accuracy: 0.897, Loss: 0.141
Epoch 9 Batch 133/269 - Train Accuracy: 0.899, Validation Accuracy: 0.886, Loss: 0.122
Epoch 9 Batch 134/269 - Train Accuracy: 0.908, Validation Accuracy: 0.897, Loss: 0.131
Epoch 9 Batch 135/269 - Train Accuracy: 0.897, Validation Accuracy: 0.891, Loss: 0.132
Epoch 9 Batch 136/269 - Train Accuracy: 0.895, Validation Accuracy: 0.900, Loss: 0.137
Epoch 9 Batch 137/269 - Train Accuracy: 0.879, Validation Accuracy: 0.892, Loss: 0.137
Epoch 9 Batch 138/269 - Train Accuracy: 0.913, Validation Accuracy: 0.902, Loss: 0.131
Epoch 9 Batch 139/269 - Train Accuracy: 0.908, Validation Accuracy: 0.904, Loss: 0.120
Epoch 9 Batch 140/269 - Train Accuracy: 0.890, Validation Accuracy: 0.897, Loss: 0.136
Epoch 9 Batch 141/269 - Train Accuracy: 0.904, Validation Accuracy: 0.904, Loss: 0.133
Epoch 9 Batch 142/269 - Train Accuracy: 0.894, Validation Accuracy: 0.901, Loss: 0.125
Epoch 9 Batch 143/269 - Train Accuracy: 0.914, Validation Accuracy: 0.901, Loss: 0.123
Epoch 9 Batch 144/269 - Train Accuracy: 0.908, Validation Accuracy: 0.895, Loss: 0.115
Epoch 9 Batch 145/269 - Train Accuracy: 0.909, Validation Accuracy: 0.903, Loss: 0.124
Epoch 9 Batch 146/269 - Train Accuracy: 0.905, Validation Accuracy: 0.906, Loss: 0.126
Epoch 9 Batch 147/269 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.128
Epoch 9 Batch 148/269 - Train Accuracy: 0.902, Validation Accuracy: 0.902, Loss: 0.128
Epoch 9 Batch 149/269 - Train Accuracy: 0.888, Validation Accuracy: 0.898, Loss: 0.140
Epoch 9 Batch 150/269 - Train Accuracy: 0.908, Validation Accuracy: 0.902, Loss: 0.130
Epoch 9 Batch 151/269 - Train Accuracy: 0.898, Validation Accuracy: 0.902, Loss: 0.126
Epoch 9 Batch 152/269 - Train Accuracy: 0.898, Validation Accuracy: 0.908, Loss: 0.130
Epoch 9 Batch 153/269 - Train Accuracy: 0.913, Validation Accuracy: 0.907, Loss: 0.127
Epoch 9 Batch 154/269 - Train Accuracy: 0.918, Validation Accuracy: 0.912, Loss: 0.124
Epoch 9 Batch 155/269 - Train Accuracy: 0.900, Validation Accuracy: 0.900, Loss: 0.124
Epoch 9 Batch 156/269 - Train Accuracy: 0.897, Validation Accuracy: 0.906, Loss: 0.129
Epoch 9 Batch 157/269 - Train Accuracy: 0.896, Validation Accuracy: 0.906, Loss: 0.122
Epoch 9 Batch 158/269 - Train Accuracy: 0.900, Validation Accuracy: 0.898, Loss: 0.122
Epoch 9 Batch 159/269 - Train Accuracy: 0.898, Validation Accuracy: 0.913, Loss: 0.131
Epoch 9 Batch 160/269 - Train Accuracy: 0.895, Validation Accuracy: 0.906, Loss: 0.128
Epoch 9 Batch 161/269 - Train Accuracy: 0.898, Validation Accuracy: 0.901, Loss: 0.125
Epoch 9 Batch 162/269 - Train Accuracy: 0.910, Validation Accuracy: 0.899, Loss: 0.126
Epoch 9 Batch 163/269 - Train Accuracy: 0.916, Validation Accuracy: 0.898, Loss: 0.129
Epoch 9 Batch 164/269 - Train Accuracy: 0.921, Validation Accuracy: 0.902, Loss: 0.126
Epoch 9 Batch 165/269 - Train Accuracy: 0.909, Validation Accuracy: 0.903, Loss: 0.123
Epoch 9 Batch 166/269 - Train Accuracy: 0.909, Validation Accuracy: 0.897, Loss: 0.124
Epoch 9 Batch 167/269 - Train Accuracy: 0.915, Validation Accuracy: 0.902, Loss: 0.120
Epoch 9 Batch 168/269 - Train Accuracy: 0.893, Validation Accuracy: 0.905, Loss: 0.132
Epoch 9 Batch 169/269 - Train Accuracy: 0.892, Validation Accuracy: 0.905, Loss: 0.127
Epoch 9 Batch 170/269 - Train Accuracy: 0.890, Validation Accuracy: 0.904, Loss: 0.120
Epoch 9 Batch 171/269 - Train Accuracy: 0.929, Validation Accuracy: 0.901, Loss: 0.126
Epoch 9 Batch 172/269 - Train Accuracy: 0.889, Validation Accuracy: 0.903, Loss: 0.136
Epoch 9 Batch 173/269 - Train Accuracy: 0.919, Validation Accuracy: 0.900, Loss: 0.116
Epoch 9 Batch 174/269 - Train Accuracy: 0.916, Validation Accuracy: 0.904, Loss: 0.122
Epoch 9 Batch 175/269 - Train Accuracy: 0.893, Validation Accuracy: 0.891, Loss: 0.137
Epoch 9 Batch 176/269 - Train Accuracy: 0.889, Validation Accuracy: 0.907, Loss: 0.136
Epoch 9 Batch 177/269 - Train Accuracy: 0.905, Validation Accuracy: 0.905, Loss: 0.114
Epoch 9 Batch 178/269 - Train Accuracy: 0.915, Validation Accuracy: 0.905, Loss: 0.119
Epoch 9 Batch 179/269 - Train Accuracy: 0.890, Validation Accuracy: 0.906, Loss: 0.124
Epoch 9 Batch 180/269 - Train Accuracy: 0.915, Validation Accuracy: 0.909, Loss: 0.118
Epoch 9 Batch 181/269 - Train Accuracy: 0.904, Validation Accuracy: 0.915, Loss: 0.130
Epoch 9 Batch 182/269 - Train Accuracy: 0.898, Validation Accuracy: 0.914, Loss: 0.121
Epoch 9 Batch 183/269 - Train Accuracy: 0.925, Validation Accuracy: 0.909, Loss: 0.105
Epoch 9 Batch 184/269 - Train Accuracy: 0.893, Validation Accuracy: 0.909, Loss: 0.125
Epoch 9 Batch 185/269 - Train Accuracy: 0.914, Validation Accuracy: 0.906, Loss: 0.123
Epoch 9 Batch 186/269 - Train Accuracy: 0.899, Validation Accuracy: 0.905, Loss: 0.120
Epoch 9 Batch 187/269 - Train Accuracy: 0.893, Validation Accuracy: 0.903, Loss: 0.120
Epoch 9 Batch 188/269 - Train Accuracy: 0.918, Validation Accuracy: 0.903, Loss: 0.118
Epoch 9 Batch 189/269 - Train Accuracy: 0.906, Validation Accuracy: 0.906, Loss: 0.115
Epoch 9 Batch 190/269 - Train Accuracy: 0.907, Validation Accuracy: 0.907, Loss: 0.118
Epoch 9 Batch 191/269 - Train Accuracy: 0.902, Validation Accuracy: 0.910, Loss: 0.119
Epoch 9 Batch 192/269 - Train Accuracy: 0.914, Validation Accuracy: 0.906, Loss: 0.120
Epoch 9 Batch 193/269 - Train Accuracy: 0.912, Validation Accuracy: 0.904, Loss: 0.119
Epoch 9 Batch 194/269 - Train Accuracy: 0.907, Validation Accuracy: 0.901, Loss: 0.123
Epoch 9 Batch 195/269 - Train Accuracy: 0.906, Validation Accuracy: 0.909, Loss: 0.119
Epoch 9 Batch 196/269 - Train Accuracy: 0.898, Validation Accuracy: 0.909, Loss: 0.120
Epoch 9 Batch 197/269 - Train Accuracy: 0.900, Validation Accuracy: 0.907, Loss: 0.128
Epoch 9 Batch 198/269 - Train Accuracy: 0.892, Validation Accuracy: 0.905, Loss: 0.125
Epoch 9 Batch 199/269 - Train Accuracy: 0.898, Validation Accuracy: 0.898, Loss: 0.130
Epoch 9 Batch 200/269 - Train Accuracy: 0.914, Validation Accuracy: 0.909, Loss: 0.121
Epoch 9 Batch 201/269 - Train Accuracy: 0.903, Validation Accuracy: 0.905, Loss: 0.124
Epoch 9 Batch 202/269 - Train Accuracy: 0.905, Validation Accuracy: 0.911, Loss: 0.122
Epoch 9 Batch 203/269 - Train Accuracy: 0.907, Validation Accuracy: 0.908, Loss: 0.127
Epoch 9 Batch 204/269 - Train Accuracy: 0.893, Validation Accuracy: 0.903, Loss: 0.126
Epoch 9 Batch 205/269 - Train Accuracy: 0.910, Validation Accuracy: 0.907, Loss: 0.126
Epoch 9 Batch 206/269 - Train Accuracy: 0.893, Validation Accuracy: 0.905, Loss: 0.126
Epoch 9 Batch 207/269 - Train Accuracy: 0.899, Validation Accuracy: 0.898, Loss: 0.119
Epoch 9 Batch 208/269 - Train Accuracy: 0.913, Validation Accuracy: 0.897, Loss: 0.126
Epoch 9 Batch 209/269 - Train Accuracy: 0.924, Validation Accuracy: 0.895, Loss: 0.117
Epoch 9 Batch 210/269 - Train Accuracy: 0.909, Validation Accuracy: 0.903, Loss: 0.122
Epoch 9 Batch 211/269 - Train Accuracy: 0.898, Validation Accuracy: 0.888, Loss: 0.128
Epoch 9 Batch 212/269 - Train Accuracy: 0.901, Validation Accuracy: 0.895, Loss: 0.134
Epoch 9 Batch 213/269 - Train Accuracy: 0.885, Validation Accuracy: 0.879, Loss: 0.135
Epoch 9 Batch 214/269 - Train Accuracy: 0.908, Validation Accuracy: 0.898, Loss: 0.140
Epoch 9 Batch 215/269 - Train Accuracy: 0.915, Validation Accuracy: 0.899, Loss: 0.115
Epoch 9 Batch 216/269 - Train Accuracy: 0.879, Validation Accuracy: 0.885, Loss: 0.143
Epoch 9 Batch 217/269 - Train Accuracy: 0.893, Validation Accuracy: 0.900, Loss: 0.145
Epoch 9 Batch 218/269 - Train Accuracy: 0.899, Validation Accuracy: 0.901, Loss: 0.130
Epoch 9 Batch 219/269 - Train Accuracy: 0.917, Validation Accuracy: 0.900, Loss: 0.132
Epoch 9 Batch 220/269 - Train Accuracy: 0.902, Validation Accuracy: 0.907, Loss: 0.114
Epoch 9 Batch 221/269 - Train Accuracy: 0.906, Validation Accuracy: 0.889, Loss: 0.127
Epoch 9 Batch 222/269 - Train Accuracy: 0.913, Validation Accuracy: 0.894, Loss: 0.118
Epoch 9 Batch 223/269 - Train Accuracy: 0.899, Validation Accuracy: 0.910, Loss: 0.113
Epoch 9 Batch 224/269 - Train Accuracy: 0.916, Validation Accuracy: 0.906, Loss: 0.128
Epoch 9 Batch 225/269 - Train Accuracy: 0.891, Validation Accuracy: 0.905, Loss: 0.117
Epoch 9 Batch 226/269 - Train Accuracy: 0.906, Validation Accuracy: 0.885, Loss: 0.126
Epoch 9 Batch 227/269 - Train Accuracy: 0.920, Validation Accuracy: 0.894, Loss: 0.124
Epoch 9 Batch 228/269 - Train Accuracy: 0.898, Validation Accuracy: 0.907, Loss: 0.114
Epoch 9 Batch 229/269 - Train Accuracy: 0.885, Validation Accuracy: 0.906, Loss: 0.124
Epoch 9 Batch 230/269 - Train Accuracy: 0.911, Validation Accuracy: 0.907, Loss: 0.117
Epoch 9 Batch 231/269 - Train Accuracy: 0.906, Validation Accuracy: 0.908, Loss: 0.126
Epoch 9 Batch 232/269 - Train Accuracy: 0.899, Validation Accuracy: 0.912, Loss: 0.121
Epoch 9 Batch 233/269 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.125
Epoch 9 Batch 234/269 - Train Accuracy: 0.919, Validation Accuracy: 0.910, Loss: 0.123
Epoch 9 Batch 235/269 - Train Accuracy: 0.932, Validation Accuracy: 0.908, Loss: 0.107
Epoch 9 Batch 236/269 - Train Accuracy: 0.902, Validation Accuracy: 0.907, Loss: 0.115
Epoch 9 Batch 237/269 - Train Accuracy: 0.903, Validation Accuracy: 0.904, Loss: 0.120
Epoch 9 Batch 238/269 - Train Accuracy: 0.907, Validation Accuracy: 0.907, Loss: 0.117
Epoch 9 Batch 239/269 - Train Accuracy: 0.913, Validation Accuracy: 0.903, Loss: 0.115
Epoch 9 Batch 240/269 - Train Accuracy: 0.916, Validation Accuracy: 0.910, Loss: 0.105
Epoch 9 Batch 241/269 - Train Accuracy: 0.906, Validation Accuracy: 0.905, Loss: 0.120
Epoch 9 Batch 242/269 - Train Accuracy: 0.919, Validation Accuracy: 0.905, Loss: 0.111
Epoch 9 Batch 243/269 - Train Accuracy: 0.925, Validation Accuracy: 0.907, Loss: 0.107
Epoch 9 Batch 244/269 - Train Accuracy: 0.910, Validation Accuracy: 0.906, Loss: 0.116
Epoch 9 Batch 245/269 - Train Accuracy: 0.892, Validation Accuracy: 0.911, Loss: 0.119
Epoch 9 Batch 246/269 - Train Accuracy: 0.899, Validation Accuracy: 0.908, Loss: 0.115
Epoch 9 Batch 247/269 - Train Accuracy: 0.915, Validation Accuracy: 0.912, Loss: 0.109
Epoch 9 Batch 248/269 - Train Accuracy: 0.916, Validation Accuracy: 0.913, Loss: 0.108
Epoch 9 Batch 249/269 - Train Accuracy: 0.910, Validation Accuracy: 0.915, Loss: 0.105
Epoch 9 Batch 250/269 - Train Accuracy: 0.927, Validation Accuracy: 0.909, Loss: 0.110
Epoch 9 Batch 251/269 - Train Accuracy: 0.939, Validation Accuracy: 0.911, Loss: 0.108
Epoch 9 Batch 252/269 - Train Accuracy: 0.909, Validation Accuracy: 0.908, Loss: 0.111
Epoch 9 Batch 253/269 - Train Accuracy: 0.880, Validation Accuracy: 0.908, Loss: 0.121
Epoch 9 Batch 254/269 - Train Accuracy: 0.923, Validation Accuracy: 0.913, Loss: 0.113
Epoch 9 Batch 255/269 - Train Accuracy: 0.912, Validation Accuracy: 0.915, Loss: 0.110
Epoch 9 Batch 256/269 - Train Accuracy: 0.899, Validation Accuracy: 0.918, Loss: 0.115
Epoch 9 Batch 257/269 - Train Accuracy: 0.895, Validation Accuracy: 0.910, Loss: 0.120
Epoch 9 Batch 258/269 - Train Accuracy: 0.914, Validation Accuracy: 0.911, Loss: 0.117
Epoch 9 Batch 259/269 - Train Accuracy: 0.908, Validation Accuracy: 0.906, Loss: 0.112
Epoch 9 Batch 260/269 - Train Accuracy: 0.901, Validation Accuracy: 0.908, Loss: 0.119
Epoch 9 Batch 261/269 - Train Accuracy: 0.914, Validation Accuracy: 0.915, Loss: 0.116
Epoch 9 Batch 262/269 - Train Accuracy: 0.911, Validation Accuracy: 0.912, Loss: 0.112
Epoch 9 Batch 263/269 - Train Accuracy: 0.918, Validation Accuracy: 0.913, Loss: 0.123
Epoch 9 Batch 264/269 - Train Accuracy: 0.892, Validation Accuracy: 0.908, Loss: 0.119
Epoch 9 Batch 265/269 - Train Accuracy: 0.905, Validation Accuracy: 0.908, Loss: 0.121
Epoch 9 Batch 266/269 - Train Accuracy: 0.905, Validation Accuracy: 0.911, Loss: 0.107
Epoch 9 Batch 267/269 - Train Accuracy: 0.915, Validation Accuracy: 0.907, Loss: 0.118
Epoch 10 Batch 0/269 - Train Accuracy: 0.926, Validation Accuracy: 0.907, Loss: 0.120
Epoch 10 Batch 1/269 - Train Accuracy: 0.907, Validation Accuracy: 0.907, Loss: 0.114
Epoch 10 Batch 2/269 - Train Accuracy: 0.915, Validation Accuracy: 0.906, Loss: 0.119
Epoch 10 Batch 3/269 - Train Accuracy: 0.923, Validation Accuracy: 0.914, Loss: 0.110
Epoch 10 Batch 4/269 - Train Accuracy: 0.907, Validation Accuracy: 0.910, Loss: 0.119
Epoch 10 Batch 5/269 - Train Accuracy: 0.920, Validation Accuracy: 0.914, Loss: 0.112
Epoch 10 Batch 6/269 - Train Accuracy: 0.912, Validation Accuracy: 0.909, Loss: 0.110
Epoch 10 Batch 7/269 - Train Accuracy: 0.923, Validation Accuracy: 0.907, Loss: 0.104
Epoch 10 Batch 8/269 - Train Accuracy: 0.920, Validation Accuracy: 0.909, Loss: 0.123
Epoch 10 Batch 9/269 - Train Accuracy: 0.911, Validation Accuracy: 0.915, Loss: 0.114
Epoch 10 Batch 10/269 - Train Accuracy: 0.915, Validation Accuracy: 0.905, Loss: 0.107
Epoch 10 Batch 11/269 - Train Accuracy: 0.921, Validation Accuracy: 0.905, Loss: 0.125
Epoch 10 Batch 12/269 - Train Accuracy: 0.898, Validation Accuracy: 0.908, Loss: 0.125
Epoch 10 Batch 13/269 - Train Accuracy: 0.915, Validation Accuracy: 0.911, Loss: 0.098
Epoch 10 Batch 14/269 - Train Accuracy: 0.909, Validation Accuracy: 0.903, Loss: 0.114
Epoch 10 Batch 15/269 - Train Accuracy: 0.917, Validation Accuracy: 0.907, Loss: 0.098
Epoch 10 Batch 16/269 - Train Accuracy: 0.904, Validation Accuracy: 0.910, Loss: 0.118
Epoch 10 Batch 17/269 - Train Accuracy: 0.917, Validation Accuracy: 0.906, Loss: 0.100
Epoch 10 Batch 18/269 - Train Accuracy: 0.901, Validation Accuracy: 0.905, Loss: 0.108
Epoch 10 Batch 19/269 - Train Accuracy: 0.916, Validation Accuracy: 0.908, Loss: 0.095
Epoch 10 Batch 20/269 - Train Accuracy: 0.912, Validation Accuracy: 0.909, Loss: 0.106
Epoch 10 Batch 21/269 - Train Accuracy: 0.898, Validation Accuracy: 0.907, Loss: 0.119
Epoch 10 Batch 22/269 - Train Accuracy: 0.927, Validation Accuracy: 0.906, Loss: 0.105
Epoch 10 Batch 23/269 - Train Accuracy: 0.907, Validation Accuracy: 0.910, Loss: 0.113
Epoch 10 Batch 24/269 - Train Accuracy: 0.904, Validation Accuracy: 0.912, Loss: 0.110
Epoch 10 Batch 25/269 - Train Accuracy: 0.908, Validation Accuracy: 0.914, Loss: 0.121
Epoch 10 Batch 26/269 - Train Accuracy: 0.912, Validation Accuracy: 0.920, Loss: 0.102
Epoch 10 Batch 27/269 - Train Accuracy: 0.904, Validation Accuracy: 0.911, Loss: 0.103
Epoch 10 Batch 28/269 - Train Accuracy: 0.894, Validation Accuracy: 0.917, Loss: 0.121
Epoch 10 Batch 29/269 - Train Accuracy: 0.915, Validation Accuracy: 0.912, Loss: 0.112
Epoch 10 Batch 30/269 - Train Accuracy: 0.916, Validation Accuracy: 0.910, Loss: 0.108
Epoch 10 Batch 31/269 - Train Accuracy: 0.919, Validation Accuracy: 0.914, Loss: 0.104
Epoch 10 Batch 32/269 - Train Accuracy: 0.915, Validation Accuracy: 0.919, Loss: 0.103
Epoch 10 Batch 33/269 - Train Accuracy: 0.920, Validation Accuracy: 0.910, Loss: 0.098
Epoch 10 Batch 34/269 - Train Accuracy: 0.913, Validation Accuracy: 0.911, Loss: 0.105
Epoch 10 Batch 35/269 - Train Accuracy: 0.893, Validation Accuracy: 0.905, Loss: 0.118
Epoch 10 Batch 36/269 - Train Accuracy: 0.906, Validation Accuracy: 0.914, Loss: 0.111
Epoch 10 Batch 37/269 - Train Accuracy: 0.911, Validation Accuracy: 0.910, Loss: 0.112
Epoch 10 Batch 38/269 - Train Accuracy: 0.912, Validation Accuracy: 0.910, Loss: 0.107
Epoch 10 Batch 39/269 - Train Accuracy: 0.918, Validation Accuracy: 0.913, Loss: 0.110
Epoch 10 Batch 40/269 - Train Accuracy: 0.897, Validation Accuracy: 0.905, Loss: 0.112
Epoch 10 Batch 41/269 - Train Accuracy: 0.902, Validation Accuracy: 0.907, Loss: 0.114
Epoch 10 Batch 42/269 - Train Accuracy: 0.920, Validation Accuracy: 0.906, Loss: 0.105
Epoch 10 Batch 43/269 - Train Accuracy: 0.916, Validation Accuracy: 0.907, Loss: 0.111
Epoch 10 Batch 44/269 - Train Accuracy: 0.910, Validation Accuracy: 0.909, Loss: 0.108
Epoch 10 Batch 45/269 - Train Accuracy: 0.911, Validation Accuracy: 0.907, Loss: 0.110
Epoch 10 Batch 46/269 - Train Accuracy: 0.914, Validation Accuracy: 0.905, Loss: 0.111
Epoch 10 Batch 47/269 - Train Accuracy: 0.921, Validation Accuracy: 0.901, Loss: 0.099
Epoch 10 Batch 48/269 - Train Accuracy: 0.921, Validation Accuracy: 0.905, Loss: 0.106
Epoch 10 Batch 49/269 - Train Accuracy: 0.910, Validation Accuracy: 0.901, Loss: 0.105
Epoch 10 Batch 50/269 - Train Accuracy: 0.901, Validation Accuracy: 0.908, Loss: 0.118
Epoch 10 Batch 51/269 - Train Accuracy: 0.915, Validation Accuracy: 0.902, Loss: 0.106
Epoch 10 Batch 52/269 - Train Accuracy: 0.901, Validation Accuracy: 0.911, Loss: 0.100
Epoch 10 Batch 53/269 - Train Accuracy: 0.916, Validation Accuracy: 0.908, Loss: 0.116
Epoch 10 Batch 54/269 - Train Accuracy: 0.923, Validation Accuracy: 0.909, Loss: 0.107
Epoch 10 Batch 55/269 - Train Accuracy: 0.922, Validation Accuracy: 0.907, Loss: 0.112
Epoch 10 Batch 56/269 - Train Accuracy: 0.906, Validation Accuracy: 0.913, Loss: 0.108
Epoch 10 Batch 57/269 - Train Accuracy: 0.907, Validation Accuracy: 0.912, Loss: 0.119
Epoch 10 Batch 58/269 - Train Accuracy: 0.906, Validation Accuracy: 0.913, Loss: 0.105
Epoch 10 Batch 59/269 - Train Accuracy: 0.935, Validation Accuracy: 0.915, Loss: 0.090
Epoch 10 Batch 60/269 - Train Accuracy: 0.913, Validation Accuracy: 0.908, Loss: 0.099
Epoch 10 Batch 61/269 - Train Accuracy: 0.912, Validation Accuracy: 0.916, Loss: 0.101
Epoch 10 Batch 62/269 - Train Accuracy: 0.905, Validation Accuracy: 0.914, Loss: 0.110
Epoch 10 Batch 63/269 - Train Accuracy: 0.916, Validation Accuracy: 0.914, Loss: 0.115
Epoch 10 Batch 64/269 - Train Accuracy: 0.911, Validation Accuracy: 0.908, Loss: 0.098
Epoch 10 Batch 65/269 - Train Accuracy: 0.908, Validation Accuracy: 0.913, Loss: 0.106
Epoch 10 Batch 66/269 - Train Accuracy: 0.912, Validation Accuracy: 0.917, Loss: 0.111
Epoch 10 Batch 67/269 - Train Accuracy: 0.916, Validation Accuracy: 0.920, Loss: 0.111
Epoch 10 Batch 68/269 - Train Accuracy: 0.896, Validation Accuracy: 0.911, Loss: 0.117
Epoch 10 Batch 69/269 - Train Accuracy: 0.893, Validation Accuracy: 0.915, Loss: 0.132
Epoch 10 Batch 70/269 - Train Accuracy: 0.924, Validation Accuracy: 0.911, Loss: 0.105
Epoch 10 Batch 71/269 - Train Accuracy: 0.915, Validation Accuracy: 0.907, Loss: 0.117
Epoch 10 Batch 72/269 - Train Accuracy: 0.903, Validation Accuracy: 0.910, Loss: 0.117
Epoch 10 Batch 73/269 - Train Accuracy: 0.911, Validation Accuracy: 0.910, Loss: 0.113
Epoch 10 Batch 74/269 - Train Accuracy: 0.917, Validation Accuracy: 0.906, Loss: 0.104
Epoch 10 Batch 75/269 - Train Accuracy: 0.915, Validation Accuracy: 0.912, Loss: 0.111
Epoch 10 Batch 76/269 - Train Accuracy: 0.904, Validation Accuracy: 0.911, Loss: 0.104
Epoch 10 Batch 77/269 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.106
Epoch 10 Batch 78/269 - Train Accuracy: 0.909, Validation Accuracy: 0.913, Loss: 0.106
Epoch 10 Batch 79/269 - Train Accuracy: 0.896, Validation Accuracy: 0.905, Loss: 0.105
Epoch 10 Batch 80/269 - Train Accuracy: 0.920, Validation Accuracy: 0.913, Loss: 0.105
Epoch 10 Batch 81/269 - Train Accuracy: 0.903, Validation Accuracy: 0.904, Loss: 0.115
Epoch 10 Batch 82/269 - Train Accuracy: 0.930, Validation Accuracy: 0.904, Loss: 0.097
Epoch 10 Batch 83/269 - Train Accuracy: 0.900, Validation Accuracy: 0.905, Loss: 0.116
Epoch 10 Batch 84/269 - Train Accuracy: 0.909, Validation Accuracy: 0.903, Loss: 0.104
Epoch 10 Batch 85/269 - Train Accuracy: 0.926, Validation Accuracy: 0.900, Loss: 0.103
Epoch 10 Batch 86/269 - Train Accuracy: 0.918, Validation Accuracy: 0.903, Loss: 0.104
Epoch 10 Batch 87/269 - Train Accuracy: 0.902, Validation Accuracy: 0.906, Loss: 0.112
Epoch 10 Batch 88/269 - Train Accuracy: 0.896, Validation Accuracy: 0.912, Loss: 0.110
Epoch 10 Batch 89/269 - Train Accuracy: 0.929, Validation Accuracy: 0.914, Loss: 0.103
Epoch 10 Batch 90/269 - Train Accuracy: 0.917, Validation Accuracy: 0.912, Loss: 0.111
Epoch 10 Batch 91/269 - Train Accuracy: 0.925, Validation Accuracy: 0.913, Loss: 0.101
Epoch 10 Batch 92/269 - Train Accuracy: 0.936, Validation Accuracy: 0.911, Loss: 0.099
Epoch 10 Batch 93/269 - Train Accuracy: 0.921, Validation Accuracy: 0.912, Loss: 0.098
Epoch 10 Batch 94/269 - Train Accuracy: 0.898, Validation Accuracy: 0.913, Loss: 0.115
Epoch 10 Batch 95/269 - Train Accuracy: 0.922, Validation Accuracy: 0.911, Loss: 0.103
Epoch 10 Batch 96/269 - Train Accuracy: 0.895, Validation Accuracy: 0.910, Loss: 0.113
Epoch 10 Batch 97/269 - Train Accuracy: 0.922, Validation Accuracy: 0.910, Loss: 0.104
Epoch 10 Batch 98/269 - Train Accuracy: 0.910, Validation Accuracy: 0.913, Loss: 0.106
Epoch 10 Batch 99/269 - Train Accuracy: 0.901, Validation Accuracy: 0.910, Loss: 0.104
Epoch 10 Batch 100/269 - Train Accuracy: 0.925, Validation Accuracy: 0.916, Loss: 0.105
Epoch 10 Batch 101/269 - Train Accuracy: 0.916, Validation Accuracy: 0.916, Loss: 0.120
Epoch 10 Batch 102/269 - Train Accuracy: 0.912, Validation Accuracy: 0.922, Loss: 0.101
Epoch 10 Batch 103/269 - Train Accuracy: 0.912, Validation Accuracy: 0.924, Loss: 0.109
Epoch 10 Batch 104/269 - Train Accuracy: 0.921, Validation Accuracy: 0.917, Loss: 0.101
Epoch 10 Batch 105/269 - Train Accuracy: 0.903, Validation Accuracy: 0.910, Loss: 0.105
Epoch 10 Batch 106/269 - Train Accuracy: 0.921, Validation Accuracy: 0.908, Loss: 0.097
Epoch 10 Batch 107/269 - Train Accuracy: 0.920, Validation Accuracy: 0.904, Loss: 0.109
Epoch 10 Batch 108/269 - Train Accuracy: 0.918, Validation Accuracy: 0.917, Loss: 0.107
Epoch 10 Batch 109/269 - Train Accuracy: 0.890, Validation Accuracy: 0.916, Loss: 0.114
Epoch 10 Batch 110/269 - Train Accuracy: 0.906, Validation Accuracy: 0.912, Loss: 0.099
Epoch 10 Batch 111/269 - Train Accuracy: 0.914, Validation Accuracy: 0.907, Loss: 0.114
Epoch 10 Batch 112/269 - Train Accuracy: 0.918, Validation Accuracy: 0.911, Loss: 0.109
Epoch 10 Batch 113/269 - Train Accuracy: 0.907, Validation Accuracy: 0.916, Loss: 0.101
Epoch 10 Batch 114/269 - Train Accuracy: 0.917, Validation Accuracy: 0.914, Loss: 0.105
Epoch 10 Batch 115/269 - Train Accuracy: 0.909, Validation Accuracy: 0.908, Loss: 0.107
Epoch 10 Batch 116/269 - Train Accuracy: 0.923, Validation Accuracy: 0.911, Loss: 0.110
Epoch 10 Batch 117/269 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.097
Epoch 10 Batch 118/269 - Train Accuracy: 0.930, Validation Accuracy: 0.916, Loss: 0.095
Epoch 10 Batch 119/269 - Train Accuracy: 0.906, Validation Accuracy: 0.915, Loss: 0.107
Epoch 10 Batch 120/269 - Train Accuracy: 0.916, Validation Accuracy: 0.915, Loss: 0.105
Epoch 10 Batch 121/269 - Train Accuracy: 0.906, Validation Accuracy: 0.910, Loss: 0.098
Epoch 10 Batch 122/269 - Train Accuracy: 0.919, Validation Accuracy: 0.908, Loss: 0.098
Epoch 10 Batch 123/269 - Train Accuracy: 0.913, Validation Accuracy: 0.901, Loss: 0.102
Epoch 10 Batch 124/269 - Train Accuracy: 0.912, Validation Accuracy: 0.909, Loss: 0.089
Epoch 10 Batch 125/269 - Train Accuracy: 0.918, Validation Accuracy: 0.907, Loss: 0.092
Epoch 10 Batch 126/269 - Train Accuracy: 0.904, Validation Accuracy: 0.907, Loss: 0.099
Epoch 10 Batch 127/269 - Train Accuracy: 0.913, Validation Accuracy: 0.909, Loss: 0.103
Epoch 10 Batch 128/269 - Train Accuracy: 0.909, Validation Accuracy: 0.906, Loss: 0.101
Epoch 10 Batch 129/269 - Train Accuracy: 0.896, Validation Accuracy: 0.913, Loss: 0.103
Epoch 10 Batch 130/269 - Train Accuracy: 0.920, Validation Accuracy: 0.913, Loss: 0.104
Epoch 10 Batch 131/269 - Train Accuracy: 0.901, Validation Accuracy: 0.905, Loss: 0.101
Epoch 10 Batch 132/269 - Train Accuracy: 0.909, Validation Accuracy: 0.912, Loss: 0.108
Epoch 10 Batch 133/269 - Train Accuracy: 0.923, Validation Accuracy: 0.914, Loss: 0.092
Epoch 10 Batch 134/269 - Train Accuracy: 0.925, Validation Accuracy: 0.912, Loss: 0.101
Epoch 10 Batch 135/269 - Train Accuracy: 0.914, Validation Accuracy: 0.913, Loss: 0.103
Epoch 10 Batch 136/269 - Train Accuracy: 0.908, Validation Accuracy: 0.913, Loss: 0.105
Epoch 10 Batch 137/269 - Train Accuracy: 0.905, Validation Accuracy: 0.915, Loss: 0.110
Epoch 10 Batch 138/269 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.096
Epoch 10 Batch 139/269 - Train Accuracy: 0.910, Validation Accuracy: 0.909, Loss: 0.094
Epoch 10 Batch 140/269 - Train Accuracy: 0.912, Validation Accuracy: 0.905, Loss: 0.105
Epoch 10 Batch 141/269 - Train Accuracy: 0.914, Validation Accuracy: 0.907, Loss: 0.100
Epoch 10 Batch 142/269 - Train Accuracy: 0.917, Validation Accuracy: 0.918, Loss: 0.097
Epoch 10 Batch 143/269 - Train Accuracy: 0.930, Validation Accuracy: 0.909, Loss: 0.090
Epoch 10 Batch 144/269 - Train Accuracy: 0.929, Validation Accuracy: 0.915, Loss: 0.091
Epoch 10 Batch 145/269 - Train Accuracy: 0.922, Validation Accuracy: 0.911, Loss: 0.095
Epoch 10 Batch 146/269 - Train Accuracy: 0.916, Validation Accuracy: 0.914, Loss: 0.095
Epoch 10 Batch 147/269 - Train Accuracy: 0.914, Validation Accuracy: 0.916, Loss: 0.102
Epoch 10 Batch 148/269 - Train Accuracy: 0.921, Validation Accuracy: 0.915, Loss: 0.095
Epoch 10 Batch 149/269 - Train Accuracy: 0.901, Validation Accuracy: 0.921, Loss: 0.108
Epoch 10 Batch 150/269 - Train Accuracy: 0.913, Validation Accuracy: 0.915, Loss: 0.103
Epoch 10 Batch 151/269 - Train Accuracy: 0.905, Validation Accuracy: 0.915, Loss: 0.099
Epoch 10 Batch 152/269 - Train Accuracy: 0.913, Validation Accuracy: 0.918, Loss: 0.100
Epoch 10 Batch 153/269 - Train Accuracy: 0.921, Validation Accuracy: 0.921, Loss: 0.098
Epoch 10 Batch 154/269 - Train Accuracy: 0.929, Validation Accuracy: 0.919, Loss: 0.094
Epoch 10 Batch 155/269 - Train Accuracy: 0.919, Validation Accuracy: 0.920, Loss: 0.095
Epoch 10 Batch 156/269 - Train Accuracy: 0.929, Validation Accuracy: 0.921, Loss: 0.097
Epoch 10 Batch 157/269 - Train Accuracy: 0.915, Validation Accuracy: 0.922, Loss: 0.093
Epoch 10 Batch 158/269 - Train Accuracy: 0.921, Validation Accuracy: 0.923, Loss: 0.097
Epoch 10 Batch 159/269 - Train Accuracy: 0.920, Validation Accuracy: 0.921, Loss: 0.097
Epoch 10 Batch 160/269 - Train Accuracy: 0.905, Validation Accuracy: 0.926, Loss: 0.101
Epoch 10 Batch 161/269 - Train Accuracy: 0.916, Validation Accuracy: 0.923, Loss: 0.094
Epoch 10 Batch 162/269 - Train Accuracy: 0.928, Validation Accuracy: 0.924, Loss: 0.095
Epoch 10 Batch 163/269 - Train Accuracy: 0.928, Validation Accuracy: 0.915, Loss: 0.098
Epoch 10 Batch 164/269 - Train Accuracy: 0.934, Validation Accuracy: 0.918, Loss: 0.101
Epoch 10 Batch 165/269 - Train Accuracy: 0.920, Validation Accuracy: 0.922, Loss: 0.098
Epoch 10 Batch 166/269 - Train Accuracy: 0.913, Validation Accuracy: 0.919, Loss: 0.095
Epoch 10 Batch 167/269 - Train Accuracy: 0.919, Validation Accuracy: 0.921, Loss: 0.094
Epoch 10 Batch 168/269 - Train Accuracy: 0.912, Validation Accuracy: 0.918, Loss: 0.102
Epoch 10 Batch 169/269 - Train Accuracy: 0.902, Validation Accuracy: 0.913, Loss: 0.096
Epoch 10 Batch 170/269 - Train Accuracy: 0.919, Validation Accuracy: 0.920, Loss: 0.096
Epoch 10 Batch 171/269 - Train Accuracy: 0.938, Validation Accuracy: 0.913, Loss: 0.095
Epoch 10 Batch 172/269 - Train Accuracy: 0.900, Validation Accuracy: 0.911, Loss: 0.109
Epoch 10 Batch 173/269 - Train Accuracy: 0.922, Validation Accuracy: 0.911, Loss: 0.094
Epoch 10 Batch 174/269 - Train Accuracy: 0.927, Validation Accuracy: 0.912, Loss: 0.103
Epoch 10 Batch 175/269 - Train Accuracy: 0.900, Validation Accuracy: 0.917, Loss: 0.111
Epoch 10 Batch 176/269 - Train Accuracy: 0.899, Validation Accuracy: 0.917, Loss: 0.106
Epoch 10 Batch 177/269 - Train Accuracy: 0.919, Validation Accuracy: 0.922, Loss: 0.094
Epoch 10 Batch 178/269 - Train Accuracy: 0.919, Validation Accuracy: 0.913, Loss: 0.091
Epoch 10 Batch 179/269 - Train Accuracy: 0.905, Validation Accuracy: 0.923, Loss: 0.101
Epoch 10 Batch 180/269 - Train Accuracy: 0.925, Validation Accuracy: 0.928, Loss: 0.095
Epoch 10 Batch 181/269 - Train Accuracy: 0.914, Validation Accuracy: 0.924, Loss: 0.102
Epoch 10 Batch 182/269 - Train Accuracy: 0.913, Validation Accuracy: 0.924, Loss: 0.096
Epoch 10 Batch 183/269 - Train Accuracy: 0.930, Validation Accuracy: 0.932, Loss: 0.084
Epoch 10 Batch 184/269 - Train Accuracy: 0.909, Validation Accuracy: 0.923, Loss: 0.099
Epoch 10 Batch 185/269 - Train Accuracy: 0.923, Validation Accuracy: 0.925, Loss: 0.096
Epoch 10 Batch 186/269 - Train Accuracy: 0.913, Validation Accuracy: 0.928, Loss: 0.091
Epoch 10 Batch 187/269 - Train Accuracy: 0.909, Validation Accuracy: 0.928, Loss: 0.096
Epoch 10 Batch 188/269 - Train Accuracy: 0.924, Validation Accuracy: 0.918, Loss: 0.092
Epoch 10 Batch 189/269 - Train Accuracy: 0.916, Validation Accuracy: 0.915, Loss: 0.092
Epoch 10 Batch 190/269 - Train Accuracy: 0.912, Validation Accuracy: 0.917, Loss: 0.093
Epoch 10 Batch 191/269 - Train Accuracy: 0.897, Validation Accuracy: 0.916, Loss: 0.092
Epoch 10 Batch 192/269 - Train Accuracy: 0.922, Validation Accuracy: 0.914, Loss: 0.098
Epoch 10 Batch 193/269 - Train Accuracy: 0.922, Validation Accuracy: 0.917, Loss: 0.092
Epoch 10 Batch 194/269 - Train Accuracy: 0.914, Validation Accuracy: 0.910, Loss: 0.098
Epoch 10 Batch 195/269 - Train Accuracy: 0.909, Validation Accuracy: 0.911, Loss: 0.093
Epoch 10 Batch 196/269 - Train Accuracy: 0.906, Validation Accuracy: 0.918, Loss: 0.090
Epoch 10 Batch 197/269 - Train Accuracy: 0.909, Validation Accuracy: 0.924, Loss: 0.103
Epoch 10 Batch 198/269 - Train Accuracy: 0.908, Validation Accuracy: 0.925, Loss: 0.097
Epoch 10 Batch 199/269 - Train Accuracy: 0.915, Validation Accuracy: 0.925, Loss: 0.098
Epoch 10 Batch 200/269 - Train Accuracy: 0.929, Validation Accuracy: 0.915, Loss: 0.092
Epoch 10 Batch 201/269 - Train Accuracy: 0.919, Validation Accuracy: 0.914, Loss: 0.099
Epoch 10 Batch 202/269 - Train Accuracy: 0.912, Validation Accuracy: 0.917, Loss: 0.092
Epoch 10 Batch 203/269 - Train Accuracy: 0.925, Validation Accuracy: 0.914, Loss: 0.103
Epoch 10 Batch 204/269 - Train Accuracy: 0.907, Validation Accuracy: 0.924, Loss: 0.100
Epoch 10 Batch 205/269 - Train Accuracy: 0.917, Validation Accuracy: 0.922, Loss: 0.094
Epoch 10 Batch 206/269 - Train Accuracy: 0.908, Validation Accuracy: 0.923, Loss: 0.098
Epoch 10 Batch 207/269 - Train Accuracy: 0.916, Validation Accuracy: 0.921, Loss: 0.095
Epoch 10 Batch 208/269 - Train Accuracy: 0.928, Validation Accuracy: 0.922, Loss: 0.097
Epoch 10 Batch 209/269 - Train Accuracy: 0.938, Validation Accuracy: 0.930, Loss: 0.089
Epoch 10 Batch 210/269 - Train Accuracy: 0.925, Validation Accuracy: 0.922, Loss: 0.089
Epoch 10 Batch 211/269 - Train Accuracy: 0.920, Validation Accuracy: 0.915, Loss: 0.100
Epoch 10 Batch 212/269 - Train Accuracy: 0.916, Validation Accuracy: 0.922, Loss: 0.098
Epoch 10 Batch 213/269 - Train Accuracy: 0.916, Validation Accuracy: 0.923, Loss: 0.098
Epoch 10 Batch 214/269 - Train Accuracy: 0.906, Validation Accuracy: 0.913, Loss: 0.098
Epoch 10 Batch 215/269 - Train Accuracy: 0.915, Validation Accuracy: 0.919, Loss: 0.092
Epoch 10 Batch 216/269 - Train Accuracy: 0.914, Validation Accuracy: 0.921, Loss: 0.111
Epoch 10 Batch 217/269 - Train Accuracy: 0.906, Validation Accuracy: 0.919, Loss: 0.101
Epoch 10 Batch 218/269 - Train Accuracy: 0.912, Validation Accuracy: 0.920, Loss: 0.094
Epoch 10 Batch 219/269 - Train Accuracy: 0.926, Validation Accuracy: 0.925, Loss: 0.102
Epoch 10 Batch 220/269 - Train Accuracy: 0.914, Validation Accuracy: 0.927, Loss: 0.093
Epoch 10 Batch 221/269 - Train Accuracy: 0.920, Validation Accuracy: 0.927, Loss: 0.095
Epoch 10 Batch 222/269 - Train Accuracy: 0.917, Validation Accuracy: 0.922, Loss: 0.093
Epoch 10 Batch 223/269 - Train Accuracy: 0.922, Validation Accuracy: 0.928, Loss: 0.097
Epoch 10 Batch 224/269 - Train Accuracy: 0.925, Validation Accuracy: 0.927, Loss: 0.101
Epoch 10 Batch 225/269 - Train Accuracy: 0.901, Validation Accuracy: 0.930, Loss: 0.093
Epoch 10 Batch 226/269 - Train Accuracy: 0.921, Validation Accuracy: 0.916, Loss: 0.100
Epoch 10 Batch 227/269 - Train Accuracy: 0.930, Validation Accuracy: 0.928, Loss: 0.100
Epoch 10 Batch 228/269 - Train Accuracy: 0.905, Validation Accuracy: 0.925, Loss: 0.094
Epoch 10 Batch 229/269 - Train Accuracy: 0.917, Validation Accuracy: 0.931, Loss: 0.098
Epoch 10 Batch 230/269 - Train Accuracy: 0.916, Validation Accuracy: 0.918, Loss: 0.094
Epoch 10 Batch 231/269 - Train Accuracy: 0.910, Validation Accuracy: 0.924, Loss: 0.101
Epoch 10 Batch 232/269 - Train Accuracy: 0.906, Validation Accuracy: 0.923, Loss: 0.094
Epoch 10 Batch 233/269 - Train Accuracy: 0.919, Validation Accuracy: 0.915, Loss: 0.096
Epoch 10 Batch 234/269 - Train Accuracy: 0.923, Validation Accuracy: 0.918, Loss: 0.095
Epoch 10 Batch 235/269 - Train Accuracy: 0.934, Validation Accuracy: 0.918, Loss: 0.083
Epoch 10 Batch 236/269 - Train Accuracy: 0.921, Validation Accuracy: 0.924, Loss: 0.092
Epoch 10 Batch 237/269 - Train Accuracy: 0.907, Validation Accuracy: 0.918, Loss: 0.093
Epoch 10 Batch 238/269 - Train Accuracy: 0.910, Validation Accuracy: 0.923, Loss: 0.096
Epoch 10 Batch 239/269 - Train Accuracy: 0.923, Validation Accuracy: 0.927, Loss: 0.090
Epoch 10 Batch 240/269 - Train Accuracy: 0.917, Validation Accuracy: 0.925, Loss: 0.086
Epoch 10 Batch 241/269 - Train Accuracy: 0.922, Validation Accuracy: 0.925, Loss: 0.097
Epoch 10 Batch 242/269 - Train Accuracy: 0.917, Validation Accuracy: 0.920, Loss: 0.090
Epoch 10 Batch 243/269 - Train Accuracy: 0.925, Validation Accuracy: 0.921, Loss: 0.086
Epoch 10 Batch 244/269 - Train Accuracy: 0.917, Validation Accuracy: 0.919, Loss: 0.091
Epoch 10 Batch 245/269 - Train Accuracy: 0.900, Validation Accuracy: 0.925, Loss: 0.097
Epoch 10 Batch 246/269 - Train Accuracy: 0.910, Validation Accuracy: 0.921, Loss: 0.096
Epoch 10 Batch 247/269 - Train Accuracy: 0.916, Validation Accuracy: 0.920, Loss: 0.086
Epoch 10 Batch 248/269 - Train Accuracy: 0.921, Validation Accuracy: 0.917, Loss: 0.090
Epoch 10 Batch 249/269 - Train Accuracy: 0.926, Validation Accuracy: 0.920, Loss: 0.082
Epoch 10 Batch 250/269 - Train Accuracy: 0.934, Validation Accuracy: 0.918, Loss: 0.090
Epoch 10 Batch 251/269 - Train Accuracy: 0.941, Validation Accuracy: 0.923, Loss: 0.086
Epoch 10 Batch 252/269 - Train Accuracy: 0.921, Validation Accuracy: 0.926, Loss: 0.085
Epoch 10 Batch 253/269 - Train Accuracy: 0.901, Validation Accuracy: 0.926, Loss: 0.097
Epoch 10 Batch 254/269 - Train Accuracy: 0.930, Validation Accuracy: 0.923, Loss: 0.088
Epoch 10 Batch 255/269 - Train Accuracy: 0.916, Validation Accuracy: 0.918, Loss: 0.091
Epoch 10 Batch 256/269 - Train Accuracy: 0.904, Validation Accuracy: 0.925, Loss: 0.088
Epoch 10 Batch 257/269 - Train Accuracy: 0.905, Validation Accuracy: 0.919, Loss: 0.096
Epoch 10 Batch 258/269 - Train Accuracy: 0.917, Validation Accuracy: 0.917, Loss: 0.092
Epoch 10 Batch 259/269 - Train Accuracy: 0.917, Validation Accuracy: 0.917, Loss: 0.090
Epoch 10 Batch 260/269 - Train Accuracy: 0.908, Validation Accuracy: 0.915, Loss: 0.096
Epoch 10 Batch 261/269 - Train Accuracy: 0.925, Validation Accuracy: 0.918, Loss: 0.092
Epoch 10 Batch 262/269 - Train Accuracy: 0.920, Validation Accuracy: 0.927, Loss: 0.096
Epoch 10 Batch 263/269 - Train Accuracy: 0.919, Validation Accuracy: 0.924, Loss: 0.097
Epoch 10 Batch 264/269 - Train Accuracy: 0.900, Validation Accuracy: 0.911, Loss: 0.099
Epoch 10 Batch 265/269 - Train Accuracy: 0.917, Validation Accuracy: 0.913, Loss: 0.094
Epoch 10 Batch 266/269 - Train Accuracy: 0.920, Validation Accuracy: 0.914, Loss: 0.087
Epoch 10 Batch 267/269 - Train Accuracy: 0.923, Validation Accuracy: 0.925, Loss: 0.098
Epoch 11 Batch 0/269 - Train Accuracy: 0.924, Validation Accuracy: 0.917, Loss: 0.097
Epoch 11 Batch 1/269 - Train Accuracy: 0.911, Validation Accuracy: 0.912, Loss: 0.095
Epoch 11 Batch 2/269 - Train Accuracy: 0.916, Validation Accuracy: 0.926, Loss: 0.098
Epoch 11 Batch 3/269 - Train Accuracy: 0.926, Validation Accuracy: 0.901, Loss: 0.088
Epoch 11 Batch 4/269 - Train Accuracy: 0.902, Validation Accuracy: 0.896, Loss: 0.108
Epoch 11 Batch 5/269 - Train Accuracy: 0.924, Validation Accuracy: 0.910, Loss: 0.101
Epoch 11 Batch 6/269 - Train Accuracy: 0.908, Validation Accuracy: 0.911, Loss: 0.091
Epoch 11 Batch 7/269 - Train Accuracy: 0.925, Validation Accuracy: 0.905, Loss: 0.090
Epoch 11 Batch 8/269 - Train Accuracy: 0.926, Validation Accuracy: 0.911, Loss: 0.100
Epoch 11 Batch 9/269 - Train Accuracy: 0.918, Validation Accuracy: 0.917, Loss: 0.097
Epoch 11 Batch 10/269 - Train Accuracy: 0.917, Validation Accuracy: 0.915, Loss: 0.084
Epoch 11 Batch 11/269 - Train Accuracy: 0.930, Validation Accuracy: 0.923, Loss: 0.101
Epoch 11 Batch 12/269 - Train Accuracy: 0.900, Validation Accuracy: 0.917, Loss: 0.103
Epoch 11 Batch 13/269 - Train Accuracy: 0.910, Validation Accuracy: 0.908, Loss: 0.083
Epoch 11 Batch 14/269 - Train Accuracy: 0.911, Validation Accuracy: 0.917, Loss: 0.092
Epoch 11 Batch 15/269 - Train Accuracy: 0.921, Validation Accuracy: 0.928, Loss: 0.079
Epoch 11 Batch 16/269 - Train Accuracy: 0.915, Validation Accuracy: 0.925, Loss: 0.098
Epoch 11 Batch 17/269 - Train Accuracy: 0.929, Validation Accuracy: 0.915, Loss: 0.083
Epoch 11 Batch 18/269 - Train Accuracy: 0.906, Validation Accuracy: 0.906, Loss: 0.091
Epoch 11 Batch 19/269 - Train Accuracy: 0.922, Validation Accuracy: 0.924, Loss: 0.080
Epoch 11 Batch 20/269 - Train Accuracy: 0.918, Validation Accuracy: 0.925, Loss: 0.084
Epoch 11 Batch 21/269 - Train Accuracy: 0.916, Validation Accuracy: 0.919, Loss: 0.097
Epoch 11 Batch 22/269 - Train Accuracy: 0.933, Validation Accuracy: 0.919, Loss: 0.085
Epoch 11 Batch 23/269 - Train Accuracy: 0.916, Validation Accuracy: 0.921, Loss: 0.093
Epoch 11 Batch 24/269 - Train Accuracy: 0.916, Validation Accuracy: 0.924, Loss: 0.090
Epoch 11 Batch 25/269 - Train Accuracy: 0.922, Validation Accuracy: 0.928, Loss: 0.100
Epoch 11 Batch 26/269 - Train Accuracy: 0.922, Validation Accuracy: 0.926, Loss: 0.082
Epoch 11 Batch 27/269 - Train Accuracy: 0.915, Validation Accuracy: 0.925, Loss: 0.083
Epoch 11 Batch 28/269 - Train Accuracy: 0.901, Validation Accuracy: 0.929, Loss: 0.098
Epoch 11 Batch 29/269 - Train Accuracy: 0.919, Validation Accuracy: 0.923, Loss: 0.094
Epoch 11 Batch 30/269 - Train Accuracy: 0.918, Validation Accuracy: 0.914, Loss: 0.092
Epoch 11 Batch 31/269 - Train Accuracy: 0.925, Validation Accuracy: 0.919, Loss: 0.089
Epoch 11 Batch 32/269 - Train Accuracy: 0.924, Validation Accuracy: 0.921, Loss: 0.083
Epoch 11 Batch 33/269 - Train Accuracy: 0.924, Validation Accuracy: 0.922, Loss: 0.082
Epoch 11 Batch 34/269 - Train Accuracy: 0.917, Validation Accuracy: 0.916, Loss: 0.086
Epoch 11 Batch 35/269 - Train Accuracy: 0.916, Validation Accuracy: 0.914, Loss: 0.093
Epoch 11 Batch 36/269 - Train Accuracy: 0.921, Validation Accuracy: 0.928, Loss: 0.092
Epoch 11 Batch 37/269 - Train Accuracy: 0.916, Validation Accuracy: 0.928, Loss: 0.092
Epoch 11 Batch 38/269 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.090
Epoch 11 Batch 39/269 - Train Accuracy: 0.927, Validation Accuracy: 0.917, Loss: 0.085
Epoch 11 Batch 40/269 - Train Accuracy: 0.902, Validation Accuracy: 0.914, Loss: 0.099
Epoch 11 Batch 41/269 - Train Accuracy: 0.914, Validation Accuracy: 0.920, Loss: 0.096
Epoch 11 Batch 42/269 - Train Accuracy: 0.931, Validation Accuracy: 0.925, Loss: 0.085
Epoch 11 Batch 43/269 - Train Accuracy: 0.915, Validation Accuracy: 0.924, Loss: 0.088
Epoch 11 Batch 44/269 - Train Accuracy: 0.932, Validation Accuracy: 0.926, Loss: 0.088
Epoch 11 Batch 45/269 - Train Accuracy: 0.918, Validation Accuracy: 0.924, Loss: 0.090
Epoch 11 Batch 46/269 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.088
Epoch 11 Batch 47/269 - Train Accuracy: 0.926, Validation Accuracy: 0.919, Loss: 0.083
Epoch 11 Batch 48/269 - Train Accuracy: 0.934, Validation Accuracy: 0.910, Loss: 0.082
Epoch 11 Batch 49/269 - Train Accuracy: 0.918, Validation Accuracy: 0.916, Loss: 0.085
Epoch 11 Batch 50/269 - Train Accuracy: 0.907, Validation Accuracy: 0.920, Loss: 0.095
Epoch 11 Batch 51/269 - Train Accuracy: 0.923, Validation Accuracy: 0.924, Loss: 0.089
Epoch 11 Batch 52/269 - Train Accuracy: 0.915, Validation Accuracy: 0.925, Loss: 0.077
Epoch 11 Batch 53/269 - Train Accuracy: 0.930, Validation Accuracy: 0.921, Loss: 0.094
Epoch 11 Batch 54/269 - Train Accuracy: 0.935, Validation Accuracy: 0.919, Loss: 0.082
Epoch 11 Batch 55/269 - Train Accuracy: 0.921, Validation Accuracy: 0.924, Loss: 0.082
Epoch 11 Batch 56/269 - Train Accuracy: 0.914, Validation Accuracy: 0.923, Loss: 0.089
Epoch 11 Batch 57/269 - Train Accuracy: 0.924, Validation Accuracy: 0.922, Loss: 0.092
Epoch 11 Batch 58/269 - Train Accuracy: 0.914, Validation Accuracy: 0.921, Loss: 0.086
Epoch 11 Batch 59/269 - Train Accuracy: 0.938, Validation Accuracy: 0.922, Loss: 0.072
Epoch 11 Batch 60/269 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.080
Epoch 11 Batch 61/269 - Train Accuracy: 0.928, Validation Accuracy: 0.924, Loss: 0.081
Epoch 11 Batch 62/269 - Train Accuracy: 0.920, Validation Accuracy: 0.923, Loss: 0.088
Epoch 11 Batch 63/269 - Train Accuracy: 0.921, Validation Accuracy: 0.915, Loss: 0.093
Epoch 11 Batch 64/269 - Train Accuracy: 0.925, Validation Accuracy: 0.920, Loss: 0.078
Epoch 11 Batch 65/269 - Train Accuracy: 0.919, Validation Accuracy: 0.926, Loss: 0.084
Epoch 11 Batch 66/269 - Train Accuracy: 0.916, Validation Accuracy: 0.928, Loss: 0.088
Epoch 11 Batch 67/269 - Train Accuracy: 0.932, Validation Accuracy: 0.925, Loss: 0.093
Epoch 11 Batch 68/269 - Train Accuracy: 0.909, Validation Accuracy: 0.926, Loss: 0.093
Epoch 11 Batch 69/269 - Train Accuracy: 0.904, Validation Accuracy: 0.919, Loss: 0.100
Epoch 11 Batch 70/269 - Train Accuracy: 0.936, Validation Accuracy: 0.915, Loss: 0.085
Epoch 11 Batch 71/269 - Train Accuracy: 0.920, Validation Accuracy: 0.912, Loss: 0.093
Epoch 11 Batch 72/269 - Train Accuracy: 0.920, Validation Accuracy: 0.914, Loss: 0.092
Epoch 11 Batch 73/269 - Train Accuracy: 0.925, Validation Accuracy: 0.913, Loss: 0.092
Epoch 11 Batch 74/269 - Train Accuracy: 0.917, Validation Accuracy: 0.918, Loss: 0.084
Epoch 11 Batch 75/269 - Train Accuracy: 0.906, Validation Accuracy: 0.921, Loss: 0.089
Epoch 11 Batch 76/269 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.086
Epoch 11 Batch 77/269 - Train Accuracy: 0.917, Validation Accuracy: 0.920, Loss: 0.082
Epoch 11 Batch 78/269 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.086
Epoch 11 Batch 79/269 - Train Accuracy: 0.905, Validation Accuracy: 0.932, Loss: 0.084
Epoch 11 Batch 80/269 - Train Accuracy: 0.927, Validation Accuracy: 0.925, Loss: 0.082
Epoch 11 Batch 81/269 - Train Accuracy: 0.914, Validation Accuracy: 0.920, Loss: 0.097
Epoch 11 Batch 82/269 - Train Accuracy: 0.931, Validation Accuracy: 0.910, Loss: 0.074
Epoch 11 Batch 83/269 - Train Accuracy: 0.913, Validation Accuracy: 0.917, Loss: 0.097
Epoch 11 Batch 84/269 - Train Accuracy: 0.925, Validation Accuracy: 0.916, Loss: 0.087
Epoch 11 Batch 85/269 - Train Accuracy: 0.930, Validation Accuracy: 0.912, Loss: 0.081
Epoch 11 Batch 86/269 - Train Accuracy: 0.932, Validation Accuracy: 0.915, Loss: 0.082
Epoch 11 Batch 87/269 - Train Accuracy: 0.923, Validation Accuracy: 0.916, Loss: 0.091
Epoch 11 Batch 88/269 - Train Accuracy: 0.912, Validation Accuracy: 0.921, Loss: 0.087
Epoch 11 Batch 89/269 - Train Accuracy: 0.938, Validation Accuracy: 0.923, Loss: 0.084
Epoch 11 Batch 90/269 - Train Accuracy: 0.917, Validation Accuracy: 0.918, Loss: 0.088
Epoch 11 Batch 91/269 - Train Accuracy: 0.938, Validation Accuracy: 0.917, Loss: 0.078
Epoch 11 Batch 92/269 - Train Accuracy: 0.942, Validation Accuracy: 0.920, Loss: 0.078
Epoch 11 Batch 93/269 - Train Accuracy: 0.938, Validation Accuracy: 0.926, Loss: 0.079
Epoch 11 Batch 94/269 - Train Accuracy: 0.913, Validation Accuracy: 0.922, Loss: 0.094
Epoch 11 Batch 95/269 - Train Accuracy: 0.933, Validation Accuracy: 0.927, Loss: 0.086
Epoch 11 Batch 96/269 - Train Accuracy: 0.905, Validation Accuracy: 0.920, Loss: 0.089
Epoch 11 Batch 97/269 - Train Accuracy: 0.934, Validation Accuracy: 0.919, Loss: 0.088
Epoch 11 Batch 98/269 - Train Accuracy: 0.919, Validation Accuracy: 0.919, Loss: 0.086
Epoch 11 Batch 99/269 - Train Accuracy: 0.916, Validation Accuracy: 0.922, Loss: 0.088
Epoch 11 Batch 100/269 - Train Accuracy: 0.930, Validation Accuracy: 0.923, Loss: 0.086
Epoch 11 Batch 101/269 - Train Accuracy: 0.921, Validation Accuracy: 0.916, Loss: 0.096
Epoch 11 Batch 102/269 - Train Accuracy: 0.915, Validation Accuracy: 0.916, Loss: 0.081
Epoch 11 Batch 103/269 - Train Accuracy: 0.916, Validation Accuracy: 0.926, Loss: 0.095
Epoch 11 Batch 104/269 - Train Accuracy: 0.921, Validation Accuracy: 0.930, Loss: 0.079
Epoch 11 Batch 105/269 - Train Accuracy: 0.918, Validation Accuracy: 0.929, Loss: 0.086
Epoch 11 Batch 106/269 - Train Accuracy: 0.931, Validation Accuracy: 0.928, Loss: 0.079
Epoch 11 Batch 107/269 - Train Accuracy: 0.925, Validation Accuracy: 0.920, Loss: 0.087
Epoch 11 Batch 108/269 - Train Accuracy: 0.926, Validation Accuracy: 0.925, Loss: 0.084
Epoch 11 Batch 109/269 - Train Accuracy: 0.903, Validation Accuracy: 0.924, Loss: 0.098
Epoch 11 Batch 110/269 - Train Accuracy: 0.914, Validation Accuracy: 0.922, Loss: 0.080
Epoch 11 Batch 111/269 - Train Accuracy: 0.920, Validation Accuracy: 0.923, Loss: 0.092
Epoch 11 Batch 112/269 - Train Accuracy: 0.929, Validation Accuracy: 0.914, Loss: 0.084
Epoch 11 Batch 113/269 - Train Accuracy: 0.918, Validation Accuracy: 0.913, Loss: 0.084
Epoch 11 Batch 114/269 - Train Accuracy: 0.924, Validation Accuracy: 0.919, Loss: 0.085
Epoch 11 Batch 115/269 - Train Accuracy: 0.918, Validation Accuracy: 0.920, Loss: 0.088
Epoch 11 Batch 116/269 - Train Accuracy: 0.931, Validation Accuracy: 0.925, Loss: 0.089
Epoch 11 Batch 117/269 - Train Accuracy: 0.922, Validation Accuracy: 0.932, Loss: 0.084
Epoch 11 Batch 118/269 - Train Accuracy: 0.941, Validation Accuracy: 0.919, Loss: 0.078
Epoch 11 Batch 119/269 - Train Accuracy: 0.917, Validation Accuracy: 0.918, Loss: 0.086
Epoch 11 Batch 120/269 - Train Accuracy: 0.932, Validation Accuracy: 0.919, Loss: 0.083
Epoch 11 Batch 121/269 - Train Accuracy: 0.920, Validation Accuracy: 0.924, Loss: 0.080
Epoch 11 Batch 122/269 - Train Accuracy: 0.924, Validation Accuracy: 0.921, Loss: 0.079
Epoch 11 Batch 123/269 - Train Accuracy: 0.920, Validation Accuracy: 0.921, Loss: 0.085
Epoch 11 Batch 124/269 - Train Accuracy: 0.927, Validation Accuracy: 0.920, Loss: 0.078
Epoch 11 Batch 125/269 - Train Accuracy: 0.931, Validation Accuracy: 0.920, Loss: 0.074
Epoch 11 Batch 126/269 - Train Accuracy: 0.918, Validation Accuracy: 0.922, Loss: 0.083
Epoch 11 Batch 127/269 - Train Accuracy: 0.919, Validation Accuracy: 0.922, Loss: 0.089
Epoch 11 Batch 128/269 - Train Accuracy: 0.922, Validation Accuracy: 0.922, Loss: 0.086
Epoch 11 Batch 129/269 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.085
Epoch 11 Batch 130/269 - Train Accuracy: 0.922, Validation Accuracy: 0.921, Loss: 0.089
Epoch 11 Batch 131/269 - Train Accuracy: 0.913, Validation Accuracy: 0.921, Loss: 0.085
Epoch 11 Batch 132/269 - Train Accuracy: 0.919, Validation Accuracy: 0.920, Loss: 0.090
Epoch 11 Batch 133/269 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.077
Epoch 11 Batch 134/269 - Train Accuracy: 0.934, Validation Accuracy: 0.923, Loss: 0.083
Epoch 11 Batch 135/269 - Train Accuracy: 0.923, Validation Accuracy: 0.920, Loss: 0.084
Epoch 11 Batch 136/269 - Train Accuracy: 0.909, Validation Accuracy: 0.929, Loss: 0.089
Epoch 11 Batch 137/269 - Train Accuracy: 0.911, Validation Accuracy: 0.925, Loss: 0.094
Epoch 11 Batch 138/269 - Train Accuracy: 0.924, Validation Accuracy: 0.928, Loss: 0.082
Epoch 11 Batch 139/269 - Train Accuracy: 0.919, Validation Accuracy: 0.926, Loss: 0.078
Epoch 11 Batch 140/269 - Train Accuracy: 0.915, Validation Accuracy: 0.926, Loss: 0.091
Epoch 11 Batch 141/269 - Train Accuracy: 0.923, Validation Accuracy: 0.922, Loss: 0.086
Epoch 11 Batch 142/269 - Train Accuracy: 0.926, Validation Accuracy: 0.925, Loss: 0.082
Epoch 11 Batch 143/269 - Train Accuracy: 0.937, Validation Accuracy: 0.923, Loss: 0.077
Epoch 11 Batch 144/269 - Train Accuracy: 0.934, Validation Accuracy: 0.926, Loss: 0.073
Epoch 11 Batch 145/269 - Train Accuracy: 0.934, Validation Accuracy: 0.923, Loss: 0.081
Epoch 11 Batch 146/269 - Train Accuracy: 0.924, Validation Accuracy: 0.925, Loss: 0.082
Epoch 11 Batch 147/269 - Train Accuracy: 0.921, Validation Accuracy: 0.923, Loss: 0.088
Epoch 11 Batch 148/269 - Train Accuracy: 0.925, Validation Accuracy: 0.918, Loss: 0.080
Epoch 11 Batch 149/269 - Train Accuracy: 0.905, Validation Accuracy: 0.925, Loss: 0.091
Epoch 11 Batch 150/269 - Train Accuracy: 0.916, Validation Accuracy: 0.930, Loss: 0.083
Epoch 11 Batch 151/269 - Train Accuracy: 0.928, Validation Accuracy: 0.927, Loss: 0.085
Epoch 11 Batch 152/269 - Train Accuracy: 0.924, Validation Accuracy: 0.927, Loss: 0.087
Epoch 11 Batch 153/269 - Train Accuracy: 0.928, Validation Accuracy: 0.933, Loss: 0.082
Epoch 11 Batch 154/269 - Train Accuracy: 0.938, Validation Accuracy: 0.930, Loss: 0.078
Epoch 11 Batch 155/269 - Train Accuracy: 0.923, Validation Accuracy: 0.933, Loss: 0.079
Epoch 11 Batch 156/269 - Train Accuracy: 0.941, Validation Accuracy: 0.933, Loss: 0.082
Epoch 11 Batch 157/269 - Train Accuracy: 0.915, Validation Accuracy: 0.927, Loss: 0.076
Epoch 11 Batch 158/269 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.079
Epoch 11 Batch 159/269 - Train Accuracy: 0.925, Validation Accuracy: 0.920, Loss: 0.081
Epoch 11 Batch 160/269 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.080
Epoch 11 Batch 161/269 - Train Accuracy: 0.915, Validation Accuracy: 0.931, Loss: 0.079
Epoch 11 Batch 162/269 - Train Accuracy: 0.932, Validation Accuracy: 0.929, Loss: 0.082
Epoch 11 Batch 163/269 - Train Accuracy: 0.934, Validation Accuracy: 0.923, Loss: 0.086
Epoch 11 Batch 164/269 - Train Accuracy: 0.942, Validation Accuracy: 0.930, Loss: 0.080
Epoch 11 Batch 165/269 - Train Accuracy: 0.931, Validation Accuracy: 0.930, Loss: 0.078
Epoch 11 Batch 166/269 - Train Accuracy: 0.931, Validation Accuracy: 0.931, Loss: 0.079
Epoch 11 Batch 167/269 - Train Accuracy: 0.927, Validation Accuracy: 0.934, Loss: 0.078
Epoch 11 Batch 168/269 - Train Accuracy: 0.920, Validation Accuracy: 0.929, Loss: 0.083
Epoch 11 Batch 169/269 - Train Accuracy: 0.912, Validation Accuracy: 0.926, Loss: 0.077
Epoch 11 Batch 170/269 - Train Accuracy: 0.924, Validation Accuracy: 0.925, Loss: 0.079
Epoch 11 Batch 171/269 - Train Accuracy: 0.953, Validation Accuracy: 0.922, Loss: 0.078
Epoch 11 Batch 172/269 - Train Accuracy: 0.911, Validation Accuracy: 0.929, Loss: 0.093
Epoch 11 Batch 173/269 - Train Accuracy: 0.936, Validation Accuracy: 0.928, Loss: 0.075
Epoch 11 Batch 174/269 - Train Accuracy: 0.931, Validation Accuracy: 0.920, Loss: 0.085
Epoch 11 Batch 175/269 - Train Accuracy: 0.917, Validation Accuracy: 0.926, Loss: 0.092
Epoch 11 Batch 176/269 - Train Accuracy: 0.916, Validation Accuracy: 0.924, Loss: 0.090
Epoch 11 Batch 177/269 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.075
Epoch 11 Batch 178/269 - Train Accuracy: 0.926, Validation Accuracy: 0.927, Loss: 0.072
Epoch 11 Batch 179/269 - Train Accuracy: 0.922, Validation Accuracy: 0.923, Loss: 0.082
Epoch 11 Batch 180/269 - Train Accuracy: 0.937, Validation Accuracy: 0.929, Loss: 0.076
Epoch 11 Batch 181/269 - Train Accuracy: 0.926, Validation Accuracy: 0.931, Loss: 0.089
Epoch 11 Batch 182/269 - Train Accuracy: 0.923, Validation Accuracy: 0.930, Loss: 0.078
Epoch 11 Batch 183/269 - Train Accuracy: 0.935, Validation Accuracy: 0.934, Loss: 0.068
Epoch 11 Batch 184/269 - Train Accuracy: 0.930, Validation Accuracy: 0.935, Loss: 0.077
Epoch 11 Batch 185/269 - Train Accuracy: 0.932, Validation Accuracy: 0.929, Loss: 0.083
Epoch 11 Batch 186/269 - Train Accuracy: 0.923, Validation Accuracy: 0.926, Loss: 0.075
Epoch 11 Batch 187/269 - Train Accuracy: 0.925, Validation Accuracy: 0.924, Loss: 0.081
Epoch 11 Batch 188/269 - Train Accuracy: 0.934, Validation Accuracy: 0.926, Loss: 0.078
Epoch 11 Batch 189/269 - Train Accuracy: 0.927, Validation Accuracy: 0.929, Loss: 0.077
Epoch 11 Batch 190/269 - Train Accuracy: 0.925, Validation Accuracy: 0.924, Loss: 0.079
Epoch 11 Batch 191/269 - Train Accuracy: 0.913, Validation Accuracy: 0.923, Loss: 0.079
Epoch 11 Batch 192/269 - Train Accuracy: 0.925, Validation Accuracy: 0.919, Loss: 0.082
Epoch 11 Batch 193/269 - Train Accuracy: 0.933, Validation Accuracy: 0.927, Loss: 0.076
Epoch 11 Batch 194/269 - Train Accuracy: 0.925, Validation Accuracy: 0.921, Loss: 0.081
Epoch 11 Batch 195/269 - Train Accuracy: 0.906, Validation Accuracy: 0.920, Loss: 0.078
Epoch 11 Batch 196/269 - Train Accuracy: 0.911, Validation Accuracy: 0.926, Loss: 0.078
Epoch 11 Batch 197/269 - Train Accuracy: 0.917, Validation Accuracy: 0.930, Loss: 0.085
Epoch 11 Batch 198/269 - Train Accuracy: 0.910, Validation Accuracy: 0.924, Loss: 0.084
Epoch 11 Batch 199/269 - Train Accuracy: 0.925, Validation Accuracy: 0.913, Loss: 0.083
Epoch 11 Batch 200/269 - Train Accuracy: 0.931, Validation Accuracy: 0.929, Loss: 0.078
Epoch 11 Batch 201/269 - Train Accuracy: 0.923, Validation Accuracy: 0.925, Loss: 0.082
Epoch 11 Batch 202/269 - Train Accuracy: 0.926, Validation Accuracy: 0.927, Loss: 0.080
Epoch 11 Batch 203/269 - Train Accuracy: 0.925, Validation Accuracy: 0.917, Loss: 0.082
Epoch 11 Batch 204/269 - Train Accuracy: 0.919, Validation Accuracy: 0.923, Loss: 0.084
Epoch 11 Batch 205/269 - Train Accuracy: 0.929, Validation Accuracy: 0.933, Loss: 0.079
Epoch 11 Batch 206/269 - Train Accuracy: 0.912, Validation Accuracy: 0.932, Loss: 0.080
Epoch 11 Batch 207/269 - Train Accuracy: 0.925, Validation Accuracy: 0.932, Loss: 0.083
Epoch 11 Batch 208/269 - Train Accuracy: 0.942, Validation Accuracy: 0.934, Loss: 0.082
Epoch 11 Batch 209/269 - Train Accuracy: 0.945, Validation Accuracy: 0.939, Loss: 0.077
Epoch 11 Batch 210/269 - Train Accuracy: 0.930, Validation Accuracy: 0.929, Loss: 0.075
Epoch 11 Batch 211/269 - Train Accuracy: 0.926, Validation Accuracy: 0.915, Loss: 0.085
Epoch 11 Batch 212/269 - Train Accuracy: 0.923, Validation Accuracy: 0.921, Loss: 0.085
Epoch 11 Batch 213/269 - Train Accuracy: 0.920, Validation Accuracy: 0.933, Loss: 0.081
Epoch 11 Batch 214/269 - Train Accuracy: 0.916, Validation Accuracy: 0.934, Loss: 0.079
Epoch 11 Batch 215/269 - Train Accuracy: 0.920, Validation Accuracy: 0.927, Loss: 0.077
Epoch 11 Batch 216/269 - Train Accuracy: 0.918, Validation Accuracy: 0.918, Loss: 0.092
Epoch 11 Batch 217/269 - Train Accuracy: 0.913, Validation Accuracy: 0.921, Loss: 0.085
Epoch 11 Batch 218/269 - Train Accuracy: 0.924, Validation Accuracy: 0.930, Loss: 0.079
Epoch 11 Batch 219/269 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.083
Epoch 11 Batch 220/269 - Train Accuracy: 0.919, Validation Accuracy: 0.929, Loss: 0.075
Epoch 11 Batch 221/269 - Train Accuracy: 0.917, Validation Accuracy: 0.924, Loss: 0.081
Epoch 11 Batch 222/269 - Train Accuracy: 0.929, Validation Accuracy: 0.933, Loss: 0.074
Epoch 11 Batch 223/269 - Train Accuracy: 0.915, Validation Accuracy: 0.935, Loss: 0.071
Epoch 11 Batch 224/269 - Train Accuracy: 0.927, Validation Accuracy: 0.932, Loss: 0.087
Epoch 11 Batch 225/269 - Train Accuracy: 0.913, Validation Accuracy: 0.938, Loss: 0.073
Epoch 11 Batch 226/269 - Train Accuracy: 0.930, Validation Accuracy: 0.933, Loss: 0.083
Epoch 11 Batch 227/269 - Train Accuracy: 0.936, Validation Accuracy: 0.930, Loss: 0.084
Epoch 11 Batch 228/269 - Train Accuracy: 0.923, Validation Accuracy: 0.930, Loss: 0.075
Epoch 11 Batch 229/269 - Train Accuracy: 0.924, Validation Accuracy: 0.932, Loss: 0.075
Epoch 11 Batch 230/269 - Train Accuracy: 0.933, Validation Accuracy: 0.941, Loss: 0.076
Epoch 11 Batch 231/269 - Train Accuracy: 0.923, Validation Accuracy: 0.936, Loss: 0.082
Epoch 11 Batch 232/269 - Train Accuracy: 0.923, Validation Accuracy: 0.928, Loss: 0.076
Epoch 11 Batch 233/269 - Train Accuracy: 0.931, Validation Accuracy: 0.929, Loss: 0.080
Epoch 11 Batch 234/269 - Train Accuracy: 0.930, Validation Accuracy: 0.930, Loss: 0.078
Epoch 11 Batch 235/269 - Train Accuracy: 0.951, Validation Accuracy: 0.928, Loss: 0.069
Epoch 11 Batch 236/269 - Train Accuracy: 0.925, Validation Accuracy: 0.927, Loss: 0.073
Epoch 11 Batch 237/269 - Train Accuracy: 0.931, Validation Accuracy: 0.930, Loss: 0.078
Epoch 11 Batch 238/269 - Train Accuracy: 0.925, Validation Accuracy: 0.935, Loss: 0.078
Epoch 11 Batch 239/269 - Train Accuracy: 0.928, Validation Accuracy: 0.931, Loss: 0.075
Epoch 11 Batch 240/269 - Train Accuracy: 0.928, Validation Accuracy: 0.936, Loss: 0.069
Epoch 11 Batch 241/269 - Train Accuracy: 0.922, Validation Accuracy: 0.937, Loss: 0.082
Epoch 11 Batch 242/269 - Train Accuracy: 0.924, Validation Accuracy: 0.935, Loss: 0.073
Epoch 11 Batch 243/269 - Train Accuracy: 0.935, Validation Accuracy: 0.933, Loss: 0.069
Epoch 11 Batch 244/269 - Train Accuracy: 0.928, Validation Accuracy: 0.926, Loss: 0.081
Epoch 11 Batch 245/269 - Train Accuracy: 0.923, Validation Accuracy: 0.922, Loss: 0.078
Epoch 11 Batch 246/269 - Train Accuracy: 0.923, Validation Accuracy: 0.925, Loss: 0.079
Epoch 11 Batch 247/269 - Train Accuracy: 0.932, Validation Accuracy: 0.926, Loss: 0.072
Epoch 11 Batch 248/269 - Train Accuracy: 0.931, Validation Accuracy: 0.931, Loss: 0.072
Epoch 11 Batch 249/269 - Train Accuracy: 0.932, Validation Accuracy: 0.927, Loss: 0.069
Epoch 11 Batch 250/269 - Train Accuracy: 0.933, Validation Accuracy: 0.930, Loss: 0.072
Epoch 11 Batch 251/269 - Train Accuracy: 0.949, Validation Accuracy: 0.930, Loss: 0.071
Epoch 11 Batch 252/269 - Train Accuracy: 0.928, Validation Accuracy: 0.932, Loss: 0.066
Epoch 11 Batch 253/269 - Train Accuracy: 0.903, Validation Accuracy: 0.932, Loss: 0.080
Epoch 11 Batch 254/269 - Train Accuracy: 0.932, Validation Accuracy: 0.932, Loss: 0.072
Epoch 11 Batch 255/269 - Train Accuracy: 0.923, Validation Accuracy: 0.929, Loss: 0.075
Epoch 11 Batch 256/269 - Train Accuracy: 0.916, Validation Accuracy: 0.933, Loss: 0.074
Epoch 11 Batch 257/269 - Train Accuracy: 0.911, Validation Accuracy: 0.931, Loss: 0.080
Epoch 11 Batch 258/269 - Train Accuracy: 0.925, Validation Accuracy: 0.929, Loss: 0.076
Epoch 11 Batch 259/269 - Train Accuracy: 0.927, Validation Accuracy: 0.927, Loss: 0.075
Epoch 11 Batch 260/269 - Train Accuracy: 0.913, Validation Accuracy: 0.923, Loss: 0.081
Epoch 11 Batch 261/269 - Train Accuracy: 0.936, Validation Accuracy: 0.927, Loss: 0.077
Epoch 11 Batch 262/269 - Train Accuracy: 0.927, Validation Accuracy: 0.937, Loss: 0.078
Epoch 11 Batch 263/269 - Train Accuracy: 0.926, Validation Accuracy: 0.927, Loss: 0.081
Epoch 11 Batch 264/269 - Train Accuracy: 0.906, Validation Accuracy: 0.926, Loss: 0.082
Epoch 11 Batch 265/269 - Train Accuracy: 0.918, Validation Accuracy: 0.926, Loss: 0.078
Epoch 11 Batch 266/269 - Train Accuracy: 0.923, Validation Accuracy: 0.928, Loss: 0.071
Epoch 11 Batch 267/269 - Train Accuracy: 0.932, Validation Accuracy: 0.931, Loss: 0.083
Epoch 12 Batch 0/269 - Train Accuracy: 0.940, Validation Accuracy: 0.928, Loss: 0.082
Epoch 12 Batch 1/269 - Train Accuracy: 0.928, Validation Accuracy: 0.931, Loss: 0.076
Epoch 12 Batch 2/269 - Train Accuracy: 0.925, Validation Accuracy: 0.922, Loss: 0.078
Epoch 12 Batch 3/269 - Train Accuracy: 0.944, Validation Accuracy: 0.916, Loss: 0.074
Epoch 12 Batch 4/269 - Train Accuracy: 0.925, Validation Accuracy: 0.927, Loss: 0.081
Epoch 12 Batch 5/269 - Train Accuracy: 0.934, Validation Accuracy: 0.923, Loss: 0.075
Epoch 12 Batch 6/269 - Train Accuracy: 0.923, Validation Accuracy: 0.926, Loss: 0.073
Epoch 12 Batch 7/269 - Train Accuracy: 0.936, Validation Accuracy: 0.928, Loss: 0.074
Epoch 12 Batch 8/269 - Train Accuracy: 0.929, Validation Accuracy: 0.918, Loss: 0.080
Epoch 12 Batch 9/269 - Train Accuracy: 0.921, Validation Accuracy: 0.926, Loss: 0.078
Epoch 12 Batch 10/269 - Train Accuracy: 0.922, Validation Accuracy: 0.939, Loss: 0.072
Epoch 12 Batch 11/269 - Train Accuracy: 0.926, Validation Accuracy: 0.920, Loss: 0.084
Epoch 12 Batch 12/269 - Train Accuracy: 0.906, Validation Accuracy: 0.930, Loss: 0.088
Epoch 12 Batch 13/269 - Train Accuracy: 0.921, Validation Accuracy: 0.918, Loss: 0.066
Epoch 12 Batch 14/269 - Train Accuracy: 0.920, Validation Accuracy: 0.923, Loss: 0.077
Epoch 12 Batch 15/269 - Train Accuracy: 0.936, Validation Accuracy: 0.935, Loss: 0.063
Epoch 12 Batch 16/269 - Train Accuracy: 0.918, Validation Accuracy: 0.929, Loss: 0.083
Epoch 12 Batch 17/269 - Train Accuracy: 0.935, Validation Accuracy: 0.936, Loss: 0.067
Epoch 12 Batch 18/269 - Train Accuracy: 0.918, Validation Accuracy: 0.933, Loss: 0.077
Epoch 12 Batch 19/269 - Train Accuracy: 0.934, Validation Accuracy: 0.928, Loss: 0.064
Epoch 12 Batch 20/269 - Train Accuracy: 0.927, Validation Accuracy: 0.929, Loss: 0.074
Epoch 12 Batch 21/269 - Train Accuracy: 0.919, Validation Accuracy: 0.934, Loss: 0.088
Epoch 12 Batch 22/269 - Train Accuracy: 0.938, Validation Accuracy: 0.929, Loss: 0.071
Epoch 12 Batch 23/269 - Train Accuracy: 0.927, Validation Accuracy: 0.931, Loss: 0.080
Epoch 12 Batch 24/269 - Train Accuracy: 0.930, Validation Accuracy: 0.933, Loss: 0.075
Epoch 12 Batch 25/269 - Train Accuracy: 0.933, Validation Accuracy: 0.933, Loss: 0.079
Epoch 12 Batch 26/269 - Train Accuracy: 0.924, Validation Accuracy: 0.937, Loss: 0.068
Epoch 12 Batch 27/269 - Train Accuracy: 0.925, Validation Accuracy: 0.934, Loss: 0.070
Epoch 12 Batch 28/269 - Train Accuracy: 0.904, Validation Accuracy: 0.936, Loss: 0.082
Epoch 12 Batch 29/269 - Train Accuracy: 0.921, Validation Accuracy: 0.939, Loss: 0.081
Epoch 12 Batch 30/269 - Train Accuracy: 0.935, Validation Accuracy: 0.927, Loss: 0.076
Epoch 12 Batch 31/269 - Train Accuracy: 0.934, Validation Accuracy: 0.919, Loss: 0.074
Epoch 12 Batch 32/269 - Train Accuracy: 0.936, Validation Accuracy: 0.919, Loss: 0.072
Epoch 12 Batch 33/269 - Train Accuracy: 0.929, Validation Accuracy: 0.920, Loss: 0.067
Epoch 12 Batch 34/269 - Train Accuracy: 0.932, Validation Accuracy: 0.924, Loss: 0.074
Epoch 12 Batch 35/269 - Train Accuracy: 0.928, Validation Accuracy: 0.923, Loss: 0.080
Epoch 12 Batch 36/269 - Train Accuracy: 0.921, Validation Accuracy: 0.925, Loss: 0.072
Epoch 12 Batch 37/269 - Train Accuracy: 0.919, Validation Accuracy: 0.924, Loss: 0.075
Epoch 12 Batch 38/269 - Train Accuracy: 0.924, Validation Accuracy: 0.926, Loss: 0.071
Epoch 12 Batch 39/269 - Train Accuracy: 0.934, Validation Accuracy: 0.927, Loss: 0.075
Epoch 12 Batch 40/269 - Train Accuracy: 0.919, Validation Accuracy: 0.930, Loss: 0.079
Epoch 12 Batch 41/269 - Train Accuracy: 0.913, Validation Accuracy: 0.930, Loss: 0.079
Epoch 12 Batch 42/269 - Train Accuracy: 0.938, Validation Accuracy: 0.936, Loss: 0.069
Epoch 12 Batch 43/269 - Train Accuracy: 0.931, Validation Accuracy: 0.931, Loss: 0.075
Epoch 12 Batch 44/269 - Train Accuracy: 0.934, Validation Accuracy: 0.928, Loss: 0.071
Epoch 12 Batch 45/269 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.076
Epoch 12 Batch 46/269 - Train Accuracy: 0.932, Validation Accuracy: 0.927, Loss: 0.071
Epoch 12 Batch 47/269 - Train Accuracy: 0.929, Validation Accuracy: 0.926, Loss: 0.068
Epoch 12 Batch 48/269 - Train Accuracy: 0.938, Validation Accuracy: 0.922, Loss: 0.074
Epoch 12 Batch 49/269 - Train Accuracy: 0.924, Validation Accuracy: 0.923, Loss: 0.066
Epoch 12 Batch 50/269 - Train Accuracy: 0.912, Validation Accuracy: 0.925, Loss: 0.082
Epoch 12 Batch 51/269 - Train Accuracy: 0.923, Validation Accuracy: 0.928, Loss: 0.073
Epoch 12 Batch 52/269 - Train Accuracy: 0.921, Validation Accuracy: 0.927, Loss: 0.062
Epoch 12 Batch 53/269 - Train Accuracy: 0.938, Validation Accuracy: 0.921, Loss: 0.075
Epoch 12 Batch 54/269 - Train Accuracy: 0.938, Validation Accuracy: 0.926, Loss: 0.068
Epoch 12 Batch 55/269 - Train Accuracy: 0.933, Validation Accuracy: 0.925, Loss: 0.071
Epoch 12 Batch 56/269 - Train Accuracy: 0.920, Validation Accuracy: 0.932, Loss: 0.073
Epoch 12 Batch 57/269 - Train Accuracy: 0.931, Validation Accuracy: 0.929, Loss: 0.079
Epoch 12 Batch 58/269 - Train Accuracy: 0.926, Validation Accuracy: 0.930, Loss: 0.071
Epoch 12 Batch 59/269 - Train Accuracy: 0.943, Validation Accuracy: 0.929, Loss: 0.059
Epoch 12 Batch 60/269 - Train Accuracy: 0.935, Validation Accuracy: 0.930, Loss: 0.065
Epoch 12 Batch 61/269 - Train Accuracy: 0.930, Validation Accuracy: 0.927, Loss: 0.068
Epoch 12 Batch 62/269 - Train Accuracy: 0.924, Validation Accuracy: 0.927, Loss: 0.071
Epoch 12 Batch 63/269 - Train Accuracy: 0.930, Validation Accuracy: 0.930, Loss: 0.081
Epoch 12 Batch 64/269 - Train Accuracy: 0.940, Validation Accuracy: 0.933, Loss: 0.062
Epoch 12 Batch 65/269 - Train Accuracy: 0.926, Validation Accuracy: 0.932, Loss: 0.070
Epoch 12 Batch 66/269 - Train Accuracy: 0.927, Validation Accuracy: 0.937, Loss: 0.074
Epoch 12 Batch 67/269 - Train Accuracy: 0.928, Validation Accuracy: 0.937, Loss: 0.077
Epoch 12 Batch 68/269 - Train Accuracy: 0.922, Validation Accuracy: 0.940, Loss: 0.081
Epoch 12 Batch 69/269 - Train Accuracy: 0.910, Validation Accuracy: 0.932, Loss: 0.086
Epoch 12 Batch 70/269 - Train Accuracy: 0.941, Validation Accuracy: 0.929, Loss: 0.072
Epoch 12 Batch 71/269 - Train Accuracy: 0.929, Validation Accuracy: 0.932, Loss: 0.082
Epoch 12 Batch 72/269 - Train Accuracy: 0.930, Validation Accuracy: 0.929, Loss: 0.077
Epoch 12 Batch 73/269 - Train Accuracy: 0.924, Validation Accuracy: 0.926, Loss: 0.080
Epoch 12 Batch 74/269 - Train Accuracy: 0.923, Validation Accuracy: 0.921, Loss: 0.072
Epoch 12 Batch 75/269 - Train Accuracy: 0.922, Validation Accuracy: 0.929, Loss: 0.081
Epoch 12 Batch 76/269 - Train Accuracy: 0.927, Validation Accuracy: 0.925, Loss: 0.074
Epoch 12 Batch 77/269 - Train Accuracy: 0.931, Validation Accuracy: 0.928, Loss: 0.073
Epoch 12 Batch 78/269 - Train Accuracy: 0.928, Validation Accuracy: 0.926, Loss: 0.073
Epoch 12 Batch 79/269 - Train Accuracy: 0.910, Validation Accuracy: 0.928, Loss: 0.073
Epoch 12 Batch 80/269 - Train Accuracy: 0.926, Validation Accuracy: 0.922, Loss: 0.071
Epoch 12 Batch 81/269 - Train Accuracy: 0.913, Validation Accuracy: 0.920, Loss: 0.088
Epoch 12 Batch 82/269 - Train Accuracy: 0.929, Validation Accuracy: 0.919, Loss: 0.068
Epoch 12 Batch 83/269 - Train Accuracy: 0.904, Validation Accuracy: 0.923, Loss: 0.086
Epoch 12 Batch 84/269 - Train Accuracy: 0.921, Validation Accuracy: 0.927, Loss: 0.075
Epoch 12 Batch 85/269 - Train Accuracy: 0.938, Validation Accuracy: 0.920, Loss: 0.071
Epoch 12 Batch 86/269 - Train Accuracy: 0.925, Validation Accuracy: 0.926, Loss: 0.075
Epoch 12 Batch 87/269 - Train Accuracy: 0.931, Validation Accuracy: 0.928, Loss: 0.082
Epoch 12 Batch 88/269 - Train Accuracy: 0.914, Validation Accuracy: 0.933, Loss: 0.081
Epoch 12 Batch 89/269 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.074
Epoch 12 Batch 90/269 - Train Accuracy: 0.932, Validation Accuracy: 0.920, Loss: 0.079
Epoch 12 Batch 91/269 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.071
Epoch 12 Batch 92/269 - Train Accuracy: 0.939, Validation Accuracy: 0.927, Loss: 0.071
Epoch 12 Batch 93/269 - Train Accuracy: 0.940, Validation Accuracy: 0.930, Loss: 0.074
Epoch 12 Batch 94/269 - Train Accuracy: 0.911, Validation Accuracy: 0.924, Loss: 0.081
Epoch 12 Batch 95/269 - Train Accuracy: 0.927, Validation Accuracy: 0.921, Loss: 0.075
Epoch 12 Batch 96/269 - Train Accuracy: 0.891, Validation Accuracy: 0.906, Loss: 0.096
Epoch 12 Batch 97/269 - Train Accuracy: 0.887, Validation Accuracy: 0.892, Loss: 0.108
Epoch 12 Batch 98/269 - Train Accuracy: 0.903, Validation Accuracy: 0.893, Loss: 0.174
Epoch 12 Batch 99/269 - Train Accuracy: 0.900, Validation Accuracy: 0.907, Loss: 0.117
Epoch 12 Batch 100/269 - Train Accuracy: 0.902, Validation Accuracy: 0.903, Loss: 0.109
Epoch 12 Batch 101/269 - Train Accuracy: 0.885, Validation Accuracy: 0.882, Loss: 0.127
Epoch 12 Batch 102/269 - Train Accuracy: 0.923, Validation Accuracy: 0.913, Loss: 0.160
Epoch 12 Batch 103/269 - Train Accuracy: 0.885, Validation Accuracy: 0.890, Loss: 0.090
Epoch 12 Batch 104/269 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.138
Epoch 12 Batch 105/269 - Train Accuracy: 0.888, Validation Accuracy: 0.902, Loss: 0.116
Epoch 12 Batch 106/269 - Train Accuracy: 0.923, Validation Accuracy: 0.914, Loss: 0.120
Epoch 12 Batch 107/269 - Train Accuracy: 0.916, Validation Accuracy: 0.904, Loss: 0.094
Epoch 12 Batch 108/269 - Train Accuracy: 0.919, Validation Accuracy: 0.900, Loss: 0.107
Epoch 12 Batch 109/269 - Train Accuracy: 0.914, Validation Accuracy: 0.913, Loss: 0.103
Epoch 12 Batch 110/269 - Train Accuracy: 0.911, Validation Accuracy: 0.907, Loss: 0.084
Epoch 12 Batch 111/269 - Train Accuracy: 0.909, Validation Accuracy: 0.914, Loss: 0.097
Epoch 12 Batch 112/269 - Train Accuracy: 0.921, Validation Accuracy: 0.912, Loss: 0.094
Epoch 12 Batch 113/269 - Train Accuracy: 0.917, Validation Accuracy: 0.907, Loss: 0.087
Epoch 12 Batch 114/269 - Train Accuracy: 0.919, Validation Accuracy: 0.920, Loss: 0.084
Epoch 12 Batch 115/269 - Train Accuracy: 0.923, Validation Accuracy: 0.924, Loss: 0.087
Epoch 12 Batch 116/269 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.087
Epoch 12 Batch 117/269 - Train Accuracy: 0.928, Validation Accuracy: 0.915, Loss: 0.076
Epoch 12 Batch 118/269 - Train Accuracy: 0.937, Validation Accuracy: 0.917, Loss: 0.079
Epoch 12 Batch 119/269 - Train Accuracy: 0.919, Validation Accuracy: 0.918, Loss: 0.087
Epoch 12 Batch 120/269 - Train Accuracy: 0.922, Validation Accuracy: 0.918, Loss: 0.084
Epoch 12 Batch 121/269 - Train Accuracy: 0.929, Validation Accuracy: 0.917, Loss: 0.079
Epoch 12 Batch 122/269 - Train Accuracy: 0.923, Validation Accuracy: 0.925, Loss: 0.078
Epoch 12 Batch 123/269 - Train Accuracy: 0.922, Validation Accuracy: 0.922, Loss: 0.079
Epoch 12 Batch 124/269 - Train Accuracy: 0.929, Validation Accuracy: 0.923, Loss: 0.070
Epoch 12 Batch 125/269 - Train Accuracy: 0.926, Validation Accuracy: 0.926, Loss: 0.069
Epoch 12 Batch 126/269 - Train Accuracy: 0.906, Validation Accuracy: 0.929, Loss: 0.076
Epoch 12 Batch 127/269 - Train Accuracy: 0.922, Validation Accuracy: 0.929, Loss: 0.079
Epoch 12 Batch 128/269 - Train Accuracy: 0.923, Validation Accuracy: 0.933, Loss: 0.076
Epoch 12 Batch 129/269 - Train Accuracy: 0.905, Validation Accuracy: 0.934, Loss: 0.081
Epoch 12 Batch 130/269 - Train Accuracy: 0.928, Validation Accuracy: 0.922, Loss: 0.077
Epoch 12 Batch 131/269 - Train Accuracy: 0.922, Validation Accuracy: 0.923, Loss: 0.074
Epoch 12 Batch 132/269 - Train Accuracy: 0.914, Validation Accuracy: 0.935, Loss: 0.081
Epoch 12 Batch 133/269 - Train Accuracy: 0.934, Validation Accuracy: 0.932, Loss: 0.069
Epoch 12 Batch 134/269 - Train Accuracy: 0.939, Validation Accuracy: 0.933, Loss: 0.075
Epoch 12 Batch 135/269 - Train Accuracy: 0.925, Validation Accuracy: 0.922, Loss: 0.073
Epoch 12 Batch 136/269 - Train Accuracy: 0.910, Validation Accuracy: 0.926, Loss: 0.078
Epoch 12 Batch 137/269 - Train Accuracy: 0.916, Validation Accuracy: 0.935, Loss: 0.081
Epoch 12 Batch 138/269 - Train Accuracy: 0.930, Validation Accuracy: 0.936, Loss: 0.070
Epoch 12 Batch 139/269 - Train Accuracy: 0.924, Validation Accuracy: 0.934, Loss: 0.069
Epoch 12 Batch 140/269 - Train Accuracy: 0.921, Validation Accuracy: 0.925, Loss: 0.082
Epoch 12 Batch 141/269 - Train Accuracy: 0.924, Validation Accuracy: 0.917, Loss: 0.076
Epoch 12 Batch 142/269 - Train Accuracy: 0.927, Validation Accuracy: 0.921, Loss: 0.072
Epoch 12 Batch 143/269 - Train Accuracy: 0.933, Validation Accuracy: 0.928, Loss: 0.064
Epoch 12 Batch 144/269 - Train Accuracy: 0.939, Validation Accuracy: 0.928, Loss: 0.063
Epoch 12 Batch 145/269 - Train Accuracy: 0.939, Validation Accuracy: 0.930, Loss: 0.071
Epoch 12 Batch 146/269 - Train Accuracy: 0.931, Validation Accuracy: 0.934, Loss: 0.071
Epoch 12 Batch 147/269 - Train Accuracy: 0.923, Validation Accuracy: 0.930, Loss: 0.074
Epoch 12 Batch 148/269 - Train Accuracy: 0.935, Validation Accuracy: 0.932, Loss: 0.071
Epoch 12 Batch 149/269 - Train Accuracy: 0.920, Validation Accuracy: 0.926, Loss: 0.080
Epoch 12 Batch 150/269 - Train Accuracy: 0.925, Validation Accuracy: 0.937, Loss: 0.072
Epoch 12 Batch 151/269 - Train Accuracy: 0.925, Validation Accuracy: 0.937, Loss: 0.075
Epoch 12 Batch 152/269 - Train Accuracy: 0.923, Validation Accuracy: 0.932, Loss: 0.075
Epoch 12 Batch 153/269 - Train Accuracy: 0.930, Validation Accuracy: 0.925, Loss: 0.071
Epoch 12 Batch 154/269 - Train Accuracy: 0.939, Validation Accuracy: 0.930, Loss: 0.069
Epoch 12 Batch 155/269 - Train Accuracy: 0.923, Validation Accuracy: 0.933, Loss: 0.068
Epoch 12 Batch 156/269 - Train Accuracy: 0.931, Validation Accuracy: 0.936, Loss: 0.071
Epoch 12 Batch 157/269 - Train Accuracy: 0.924, Validation Accuracy: 0.936, Loss: 0.066
Epoch 12 Batch 158/269 - Train Accuracy: 0.931, Validation Accuracy: 0.926, Loss: 0.068
Epoch 12 Batch 159/269 - Train Accuracy: 0.933, Validation Accuracy: 0.928, Loss: 0.070
Epoch 12 Batch 160/269 - Train Accuracy: 0.918, Validation Accuracy: 0.931, Loss: 0.071
Epoch 12 Batch 161/269 - Train Accuracy: 0.925, Validation Accuracy: 0.933, Loss: 0.068
Epoch 12 Batch 162/269 - Train Accuracy: 0.932, Validation Accuracy: 0.932, Loss: 0.067
Epoch 12 Batch 163/269 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.072
Epoch 12 Batch 164/269 - Train Accuracy: 0.943, Validation Accuracy: 0.930, Loss: 0.072
Epoch 12 Batch 165/269 - Train Accuracy: 0.926, Validation Accuracy: 0.930, Loss: 0.068
Epoch 12 Batch 166/269 - Train Accuracy: 0.932, Validation Accuracy: 0.934, Loss: 0.068
Epoch 12 Batch 167/269 - Train Accuracy: 0.938, Validation Accuracy: 0.934, Loss: 0.066
Epoch 12 Batch 168/269 - Train Accuracy: 0.927, Validation Accuracy: 0.936, Loss: 0.072
Epoch 12 Batch 169/269 - Train Accuracy: 0.916, Validation Accuracy: 0.936, Loss: 0.069
Epoch 12 Batch 170/269 - Train Accuracy: 0.926, Validation Accuracy: 0.928, Loss: 0.068
Epoch 12 Batch 171/269 - Train Accuracy: 0.953, Validation Accuracy: 0.926, Loss: 0.067
Epoch 12 Batch 172/269 - Train Accuracy: 0.917, Validation Accuracy: 0.932, Loss: 0.078
Epoch 12 Batch 173/269 - Train Accuracy: 0.934, Validation Accuracy: 0.932, Loss: 0.064
Epoch 12 Batch 174/269 - Train Accuracy: 0.940, Validation Accuracy: 0.933, Loss: 0.070
Epoch 12 Batch 175/269 - Train Accuracy: 0.926, Validation Accuracy: 0.929, Loss: 0.079
Epoch 12 Batch 176/269 - Train Accuracy: 0.927, Validation Accuracy: 0.924, Loss: 0.073
Epoch 12 Batch 177/269 - Train Accuracy: 0.932, Validation Accuracy: 0.933, Loss: 0.063
Epoch 12 Batch 178/269 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.065
Epoch 12 Batch 179/269 - Train Accuracy: 0.925, Validation Accuracy: 0.935, Loss: 0.072
Epoch 12 Batch 180/269 - Train Accuracy: 0.935, Validation Accuracy: 0.934, Loss: 0.064
Epoch 12 Batch 181/269 - Train Accuracy: 0.927, Validation Accuracy: 0.932, Loss: 0.074
Epoch 12 Batch 182/269 - Train Accuracy: 0.924, Validation Accuracy: 0.929, Loss: 0.066
Epoch 12 Batch 183/269 - Train Accuracy: 0.941, Validation Accuracy: 0.931, Loss: 0.058
Epoch 12 Batch 184/269 - Train Accuracy: 0.941, Validation Accuracy: 0.937, Loss: 0.067
Epoch 12 Batch 185/269 - Train Accuracy: 0.937, Validation Accuracy: 0.936, Loss: 0.070
Epoch 12 Batch 186/269 - Train Accuracy: 0.925, Validation Accuracy: 0.938, Loss: 0.064
Epoch 12 Batch 187/269 - Train Accuracy: 0.928, Validation Accuracy: 0.933, Loss: 0.068
Epoch 12 Batch 188/269 - Train Accuracy: 0.934, Validation Accuracy: 0.930, Loss: 0.067
Epoch 12 Batch 189/269 - Train Accuracy: 0.929, Validation Accuracy: 0.930, Loss: 0.065
Epoch 12 Batch 190/269 - Train Accuracy: 0.929, Validation Accuracy: 0.928, Loss: 0.066
Epoch 12 Batch 191/269 - Train Accuracy: 0.917, Validation Accuracy: 0.923, Loss: 0.065
Epoch 12 Batch 192/269 - Train Accuracy: 0.934, Validation Accuracy: 0.928, Loss: 0.066
Epoch 12 Batch 193/269 - Train Accuracy: 0.938, Validation Accuracy: 0.925, Loss: 0.065
Epoch 12 Batch 194/269 - Train Accuracy: 0.930, Validation Accuracy: 0.924, Loss: 0.070
Epoch 12 Batch 195/269 - Train Accuracy: 0.914, Validation Accuracy: 0.929, Loss: 0.065
Epoch 12 Batch 196/269 - Train Accuracy: 0.918, Validation Accuracy: 0.935, Loss: 0.064
Epoch 12 Batch 197/269 - Train Accuracy: 0.927, Validation Accuracy: 0.933, Loss: 0.069
Epoch 12 Batch 198/269 - Train Accuracy: 0.925, Validation Accuracy: 0.928, Loss: 0.069
Epoch 12 Batch 199/269 - Train Accuracy: 0.925, Validation Accuracy: 0.924, Loss: 0.075
Epoch 12 Batch 200/269 - Train Accuracy: 0.934, Validation Accuracy: 0.927, Loss: 0.067
Epoch 12 Batch 201/269 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.071
Epoch 12 Batch 202/269 - Train Accuracy: 0.935, Validation Accuracy: 0.928, Loss: 0.069
Epoch 12 Batch 203/269 - Train Accuracy: 0.930, Validation Accuracy: 0.924, Loss: 0.072
Epoch 12 Batch 204/269 - Train Accuracy: 0.923, Validation Accuracy: 0.922, Loss: 0.071
Epoch 12 Batch 205/269 - Train Accuracy: 0.930, Validation Accuracy: 0.922, Loss: 0.068
Epoch 12 Batch 206/269 - Train Accuracy: 0.923, Validation Accuracy: 0.921, Loss: 0.074
Epoch 12 Batch 207/269 - Train Accuracy: 0.929, Validation Accuracy: 0.931, Loss: 0.070
Epoch 12 Batch 208/269 - Train Accuracy: 0.941, Validation Accuracy: 0.930, Loss: 0.070
Epoch 12 Batch 209/269 - Train Accuracy: 0.945, Validation Accuracy: 0.933, Loss: 0.064
Epoch 12 Batch 210/269 - Train Accuracy: 0.930, Validation Accuracy: 0.936, Loss: 0.062
Epoch 12 Batch 211/269 - Train Accuracy: 0.932, Validation Accuracy: 0.933, Loss: 0.073
Epoch 12 Batch 212/269 - Train Accuracy: 0.927, Validation Accuracy: 0.932, Loss: 0.073
Epoch 12 Batch 213/269 - Train Accuracy: 0.922, Validation Accuracy: 0.936, Loss: 0.067
Epoch 12 Batch 214/269 - Train Accuracy: 0.928, Validation Accuracy: 0.936, Loss: 0.069
Epoch 12 Batch 215/269 - Train Accuracy: 0.930, Validation Accuracy: 0.937, Loss: 0.065
Epoch 12 Batch 216/269 - Train Accuracy: 0.919, Validation Accuracy: 0.934, Loss: 0.080
Epoch 12 Batch 217/269 - Train Accuracy: 0.910, Validation Accuracy: 0.933, Loss: 0.070
Epoch 12 Batch 218/269 - Train Accuracy: 0.925, Validation Accuracy: 0.928, Loss: 0.065
Epoch 12 Batch 219/269 - Train Accuracy: 0.940, Validation Accuracy: 0.936, Loss: 0.071
Epoch 12 Batch 220/269 - Train Accuracy: 0.926, Validation Accuracy: 0.939, Loss: 0.067
Epoch 12 Batch 221/269 - Train Accuracy: 0.938, Validation Accuracy: 0.940, Loss: 0.071
Epoch 12 Batch 222/269 - Train Accuracy: 0.937, Validation Accuracy: 0.942, Loss: 0.062
Epoch 12 Batch 223/269 - Train Accuracy: 0.931, Validation Accuracy: 0.936, Loss: 0.064
Epoch 12 Batch 224/269 - Train Accuracy: 0.932, Validation Accuracy: 0.934, Loss: 0.074
Epoch 12 Batch 225/269 - Train Accuracy: 0.919, Validation Accuracy: 0.937, Loss: 0.064
Epoch 12 Batch 226/269 - Train Accuracy: 0.937, Validation Accuracy: 0.936, Loss: 0.068
Epoch 12 Batch 227/269 - Train Accuracy: 0.938, Validation Accuracy: 0.940, Loss: 0.074
Epoch 12 Batch 228/269 - Train Accuracy: 0.922, Validation Accuracy: 0.939, Loss: 0.067
Epoch 12 Batch 229/269 - Train Accuracy: 0.927, Validation Accuracy: 0.938, Loss: 0.064
Epoch 12 Batch 230/269 - Train Accuracy: 0.950, Validation Accuracy: 0.940, Loss: 0.066
Epoch 12 Batch 231/269 - Train Accuracy: 0.931, Validation Accuracy: 0.940, Loss: 0.064
Epoch 12 Batch 232/269 - Train Accuracy: 0.929, Validation Accuracy: 0.937, Loss: 0.066
Epoch 12 Batch 233/269 - Train Accuracy: 0.933, Validation Accuracy: 0.934, Loss: 0.071
Epoch 12 Batch 234/269 - Train Accuracy: 0.935, Validation Accuracy: 0.938, Loss: 0.066
Epoch 12 Batch 235/269 - Train Accuracy: 0.961, Validation Accuracy: 0.936, Loss: 0.059
Epoch 12 Batch 236/269 - Train Accuracy: 0.934, Validation Accuracy: 0.940, Loss: 0.063
Epoch 12 Batch 237/269 - Train Accuracy: 0.927, Validation Accuracy: 0.939, Loss: 0.067
Epoch 12 Batch 238/269 - Train Accuracy: 0.925, Validation Accuracy: 0.936, Loss: 0.067
Epoch 12 Batch 239/269 - Train Accuracy: 0.936, Validation Accuracy: 0.935, Loss: 0.065
Epoch 12 Batch 240/269 - Train Accuracy: 0.931, Validation Accuracy: 0.938, Loss: 0.062
Epoch 12 Batch 241/269 - Train Accuracy: 0.928, Validation Accuracy: 0.941, Loss: 0.071
Epoch 12 Batch 242/269 - Train Accuracy: 0.930, Validation Accuracy: 0.939, Loss: 0.066
Epoch 12 Batch 243/269 - Train Accuracy: 0.940, Validation Accuracy: 0.941, Loss: 0.058
Epoch 12 Batch 244/269 - Train Accuracy: 0.939, Validation Accuracy: 0.939, Loss: 0.067
Epoch 12 Batch 245/269 - Train Accuracy: 0.924, Validation Accuracy: 0.941, Loss: 0.067
Epoch 12 Batch 246/269 - Train Accuracy: 0.920, Validation Accuracy: 0.935, Loss: 0.070
Epoch 12 Batch 247/269 - Train Accuracy: 0.932, Validation Accuracy: 0.929, Loss: 0.063
Epoch 12 Batch 248/269 - Train Accuracy: 0.934, Validation Accuracy: 0.934, Loss: 0.066
Epoch 12 Batch 249/269 - Train Accuracy: 0.937, Validation Accuracy: 0.932, Loss: 0.061
Epoch 12 Batch 250/269 - Train Accuracy: 0.947, Validation Accuracy: 0.925, Loss: 0.061
Epoch 12 Batch 251/269 - Train Accuracy: 0.955, Validation Accuracy: 0.934, Loss: 0.059
Epoch 12 Batch 252/269 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.056
Epoch 12 Batch 253/269 - Train Accuracy: 0.911, Validation Accuracy: 0.933, Loss: 0.070
Epoch 12 Batch 254/269 - Train Accuracy: 0.950, Validation Accuracy: 0.931, Loss: 0.060
Epoch 12 Batch 255/269 - Train Accuracy: 0.931, Validation Accuracy: 0.929, Loss: 0.064
Epoch 12 Batch 256/269 - Train Accuracy: 0.920, Validation Accuracy: 0.927, Loss: 0.062
Epoch 12 Batch 257/269 - Train Accuracy: 0.915, Validation Accuracy: 0.928, Loss: 0.071
Epoch 12 Batch 258/269 - Train Accuracy: 0.936, Validation Accuracy: 0.930, Loss: 0.064
Epoch 12 Batch 259/269 - Train Accuracy: 0.935, Validation Accuracy: 0.927, Loss: 0.064
Epoch 12 Batch 260/269 - Train Accuracy: 0.924, Validation Accuracy: 0.927, Loss: 0.072
Epoch 12 Batch 261/269 - Train Accuracy: 0.940, Validation Accuracy: 0.927, Loss: 0.066
Epoch 12 Batch 262/269 - Train Accuracy: 0.934, Validation Accuracy: 0.929, Loss: 0.065
Epoch 12 Batch 263/269 - Train Accuracy: 0.934, Validation Accuracy: 0.938, Loss: 0.073
Epoch 12 Batch 264/269 - Train Accuracy: 0.916, Validation Accuracy: 0.935, Loss: 0.071
Epoch 12 Batch 265/269 - Train Accuracy: 0.921, Validation Accuracy: 0.940, Loss: 0.068
Epoch 12 Batch 266/269 - Train Accuracy: 0.928, Validation Accuracy: 0.938, Loss: 0.058
Epoch 12 Batch 267/269 - Train Accuracy: 0.939, Validation Accuracy: 0.936, Loss: 0.071
Epoch 13 Batch 0/269 - Train Accuracy: 0.945, Validation Accuracy: 0.931, Loss: 0.071
Epoch 13 Batch 1/269 - Train Accuracy: 0.926, Validation Accuracy: 0.930, Loss: 0.065
Epoch 13 Batch 2/269 - Train Accuracy: 0.931, Validation Accuracy: 0.931, Loss: 0.070
Epoch 13 Batch 3/269 - Train Accuracy: 0.944, Validation Accuracy: 0.936, Loss: 0.062
Epoch 13 Batch 4/269 - Train Accuracy: 0.927, Validation Accuracy: 0.939, Loss: 0.071
Epoch 13 Batch 5/269 - Train Accuracy: 0.947, Validation Accuracy: 0.930, Loss: 0.065
Epoch 13 Batch 6/269 - Train Accuracy: 0.945, Validation Accuracy: 0.930, Loss: 0.063
Epoch 13 Batch 7/269 - Train Accuracy: 0.934, Validation Accuracy: 0.927, Loss: 0.061
Epoch 13 Batch 8/269 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.071
Epoch 13 Batch 9/269 - Train Accuracy: 0.930, Validation Accuracy: 0.928, Loss: 0.069
Epoch 13 Batch 10/269 - Train Accuracy: 0.932, Validation Accuracy: 0.934, Loss: 0.060
Epoch 13 Batch 11/269 - Train Accuracy: 0.946, Validation Accuracy: 0.933, Loss: 0.071
Epoch 13 Batch 12/269 - Train Accuracy: 0.915, Validation Accuracy: 0.932, Loss: 0.079
Epoch 13 Batch 13/269 - Train Accuracy: 0.939, Validation Accuracy: 0.928, Loss: 0.058
Epoch 13 Batch 14/269 - Train Accuracy: 0.938, Validation Accuracy: 0.926, Loss: 0.064
Epoch 13 Batch 15/269 - Train Accuracy: 0.942, Validation Accuracy: 0.930, Loss: 0.053
Epoch 13 Batch 16/269 - Train Accuracy: 0.937, Validation Accuracy: 0.933, Loss: 0.071
Epoch 13 Batch 17/269 - Train Accuracy: 0.941, Validation Accuracy: 0.939, Loss: 0.056
Epoch 13 Batch 18/269 - Train Accuracy: 0.924, Validation Accuracy: 0.944, Loss: 0.068
Epoch 13 Batch 19/269 - Train Accuracy: 0.941, Validation Accuracy: 0.945, Loss: 0.055
Epoch 13 Batch 20/269 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.061
Epoch 13 Batch 21/269 - Train Accuracy: 0.918, Validation Accuracy: 0.936, Loss: 0.076
Epoch 13 Batch 22/269 - Train Accuracy: 0.950, Validation Accuracy: 0.935, Loss: 0.061
Epoch 13 Batch 23/269 - Train Accuracy: 0.934, Validation Accuracy: 0.933, Loss: 0.068
Epoch 13 Batch 24/269 - Train Accuracy: 0.930, Validation Accuracy: 0.933, Loss: 0.064
Epoch 13 Batch 25/269 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.071
Epoch 13 Batch 26/269 - Train Accuracy: 0.930, Validation Accuracy: 0.941, Loss: 0.058
Epoch 13 Batch 27/269 - Train Accuracy: 0.942, Validation Accuracy: 0.932, Loss: 0.059
Epoch 13 Batch 28/269 - Train Accuracy: 0.915, Validation Accuracy: 0.936, Loss: 0.069
Epoch 13 Batch 29/269 - Train Accuracy: 0.933, Validation Accuracy: 0.941, Loss: 0.067
Epoch 13 Batch 30/269 - Train Accuracy: 0.939, Validation Accuracy: 0.938, Loss: 0.066
Epoch 13 Batch 31/269 - Train Accuracy: 0.940, Validation Accuracy: 0.938, Loss: 0.065
Epoch 13 Batch 32/269 - Train Accuracy: 0.935, Validation Accuracy: 0.938, Loss: 0.060
Epoch 13 Batch 33/269 - Train Accuracy: 0.933, Validation Accuracy: 0.929, Loss: 0.062
Epoch 13 Batch 34/269 - Train Accuracy: 0.941, Validation Accuracy: 0.932, Loss: 0.059
Epoch 13 Batch 35/269 - Train Accuracy: 0.941, Validation Accuracy: 0.935, Loss: 0.074
Epoch 13 Batch 36/269 - Train Accuracy: 0.932, Validation Accuracy: 0.932, Loss: 0.061
Epoch 13 Batch 37/269 - Train Accuracy: 0.935, Validation Accuracy: 0.935, Loss: 0.066
Epoch 13 Batch 38/269 - Train Accuracy: 0.928, Validation Accuracy: 0.939, Loss: 0.064
Epoch 13 Batch 39/269 - Train Accuracy: 0.938, Validation Accuracy: 0.941, Loss: 0.064
Epoch 13 Batch 40/269 - Train Accuracy: 0.920, Validation Accuracy: 0.945, Loss: 0.069
Epoch 13 Batch 41/269 - Train Accuracy: 0.927, Validation Accuracy: 0.941, Loss: 0.065
Epoch 13 Batch 42/269 - Train Accuracy: 0.945, Validation Accuracy: 0.938, Loss: 0.057
Epoch 13 Batch 43/269 - Train Accuracy: 0.934, Validation Accuracy: 0.941, Loss: 0.065
Epoch 13 Batch 44/269 - Train Accuracy: 0.937, Validation Accuracy: 0.937, Loss: 0.063
Epoch 13 Batch 45/269 - Train Accuracy: 0.931, Validation Accuracy: 0.938, Loss: 0.063
Epoch 13 Batch 46/269 - Train Accuracy: 0.935, Validation Accuracy: 0.937, Loss: 0.062
Epoch 13 Batch 47/269 - Train Accuracy: 0.935, Validation Accuracy: 0.941, Loss: 0.057
Epoch 13 Batch 48/269 - Train Accuracy: 0.946, Validation Accuracy: 0.938, Loss: 0.060
Epoch 13 Batch 49/269 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.057
Epoch 13 Batch 50/269 - Train Accuracy: 0.929, Validation Accuracy: 0.937, Loss: 0.070
Epoch 13 Batch 51/269 - Train Accuracy: 0.932, Validation Accuracy: 0.936, Loss: 0.062
Epoch 13 Batch 52/269 - Train Accuracy: 0.924, Validation Accuracy: 0.932, Loss: 0.058
Epoch 13 Batch 53/269 - Train Accuracy: 0.937, Validation Accuracy: 0.934, Loss: 0.068
Epoch 13 Batch 54/269 - Train Accuracy: 0.946, Validation Accuracy: 0.934, Loss: 0.059
Epoch 13 Batch 55/269 - Train Accuracy: 0.935, Validation Accuracy: 0.929, Loss: 0.059
Epoch 13 Batch 56/269 - Train Accuracy: 0.929, Validation Accuracy: 0.932, Loss: 0.062
Epoch 13 Batch 57/269 - Train Accuracy: 0.933, Validation Accuracy: 0.937, Loss: 0.068
Epoch 13 Batch 58/269 - Train Accuracy: 0.934, Validation Accuracy: 0.935, Loss: 0.064
Epoch 13 Batch 59/269 - Train Accuracy: 0.948, Validation Accuracy: 0.933, Loss: 0.051
Epoch 13 Batch 60/269 - Train Accuracy: 0.939, Validation Accuracy: 0.933, Loss: 0.059
Epoch 13 Batch 61/269 - Train Accuracy: 0.942, Validation Accuracy: 0.938, Loss: 0.058
Epoch 13 Batch 62/269 - Train Accuracy: 0.930, Validation Accuracy: 0.934, Loss: 0.065
Epoch 13 Batch 63/269 - Train Accuracy: 0.926, Validation Accuracy: 0.937, Loss: 0.072
Epoch 13 Batch 64/269 - Train Accuracy: 0.941, Validation Accuracy: 0.931, Loss: 0.059
Epoch 13 Batch 65/269 - Train Accuracy: 0.941, Validation Accuracy: 0.932, Loss: 0.061
Epoch 13 Batch 66/269 - Train Accuracy: 0.934, Validation Accuracy: 0.936, Loss: 0.065
Epoch 13 Batch 67/269 - Train Accuracy: 0.934, Validation Accuracy: 0.938, Loss: 0.069
Epoch 13 Batch 68/269 - Train Accuracy: 0.919, Validation Accuracy: 0.936, Loss: 0.071
Epoch 13 Batch 69/269 - Train Accuracy: 0.914, Validation Accuracy: 0.932, Loss: 0.080
Epoch 13 Batch 70/269 - Train Accuracy: 0.946, Validation Accuracy: 0.938, Loss: 0.063
Epoch 13 Batch 71/269 - Train Accuracy: 0.928, Validation Accuracy: 0.935, Loss: 0.073
Epoch 13 Batch 72/269 - Train Accuracy: 0.930, Validation Accuracy: 0.934, Loss: 0.070
Epoch 13 Batch 73/269 - Train Accuracy: 0.926, Validation Accuracy: 0.935, Loss: 0.072
Epoch 13 Batch 74/269 - Train Accuracy: 0.938, Validation Accuracy: 0.938, Loss: 0.064
Epoch 13 Batch 75/269 - Train Accuracy: 0.919, Validation Accuracy: 0.940, Loss: 0.070
Epoch 13 Batch 76/269 - Train Accuracy: 0.927, Validation Accuracy: 0.942, Loss: 0.063
Epoch 13 Batch 77/269 - Train Accuracy: 0.932, Validation Accuracy: 0.939, Loss: 0.062
Epoch 13 Batch 78/269 - Train Accuracy: 0.932, Validation Accuracy: 0.932, Loss: 0.063
Epoch 13 Batch 79/269 - Train Accuracy: 0.916, Validation Accuracy: 0.928, Loss: 0.065
Epoch 13 Batch 80/269 - Train Accuracy: 0.946, Validation Accuracy: 0.928, Loss: 0.062
Epoch 13 Batch 81/269 - Train Accuracy: 0.925, Validation Accuracy: 0.932, Loss: 0.072
Epoch 13 Batch 82/269 - Train Accuracy: 0.938, Validation Accuracy: 0.931, Loss: 0.056
Epoch 13 Batch 83/269 - Train Accuracy: 0.926, Validation Accuracy: 0.924, Loss: 0.075
Epoch 13 Batch 84/269 - Train Accuracy: 0.925, Validation Accuracy: 0.915, Loss: 0.061
Epoch 13 Batch 85/269 - Train Accuracy: 0.939, Validation Accuracy: 0.922, Loss: 0.060
Epoch 13 Batch 86/269 - Train Accuracy: 0.943, Validation Accuracy: 0.928, Loss: 0.060
Epoch 13 Batch 87/269 - Train Accuracy: 0.942, Validation Accuracy: 0.935, Loss: 0.066
Epoch 13 Batch 88/269 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.069
Epoch 13 Batch 89/269 - Train Accuracy: 0.943, Validation Accuracy: 0.929, Loss: 0.061
Epoch 13 Batch 90/269 - Train Accuracy: 0.939, Validation Accuracy: 0.932, Loss: 0.068
Epoch 13 Batch 91/269 - Train Accuracy: 0.935, Validation Accuracy: 0.934, Loss: 0.058
Epoch 13 Batch 92/269 - Train Accuracy: 0.940, Validation Accuracy: 0.933, Loss: 0.058
Epoch 13 Batch 93/269 - Train Accuracy: 0.944, Validation Accuracy: 0.933, Loss: 0.059
Epoch 13 Batch 94/269 - Train Accuracy: 0.920, Validation Accuracy: 0.934, Loss: 0.074
Epoch 13 Batch 95/269 - Train Accuracy: 0.936, Validation Accuracy: 0.934, Loss: 0.059
Epoch 13 Batch 96/269 - Train Accuracy: 0.914, Validation Accuracy: 0.936, Loss: 0.067
Epoch 13 Batch 97/269 - Train Accuracy: 0.944, Validation Accuracy: 0.935, Loss: 0.068
Epoch 13 Batch 98/269 - Train Accuracy: 0.936, Validation Accuracy: 0.938, Loss: 0.061
Epoch 13 Batch 99/269 - Train Accuracy: 0.929, Validation Accuracy: 0.929, Loss: 0.059
Epoch 13 Batch 100/269 - Train Accuracy: 0.943, Validation Accuracy: 0.931, Loss: 0.064
Epoch 13 Batch 101/269 - Train Accuracy: 0.926, Validation Accuracy: 0.929, Loss: 0.074
Epoch 13 Batch 102/269 - Train Accuracy: 0.935, Validation Accuracy: 0.927, Loss: 0.061
Epoch 13 Batch 103/269 - Train Accuracy: 0.923, Validation Accuracy: 0.930, Loss: 0.069
Epoch 13 Batch 104/269 - Train Accuracy: 0.947, Validation Accuracy: 0.932, Loss: 0.062
Epoch 13 Batch 105/269 - Train Accuracy: 0.925, Validation Accuracy: 0.935, Loss: 0.061
Epoch 13 Batch 106/269 - Train Accuracy: 0.947, Validation Accuracy: 0.946, Loss: 0.057
Epoch 13 Batch 107/269 - Train Accuracy: 0.933, Validation Accuracy: 0.938, Loss: 0.064
Epoch 13 Batch 108/269 - Train Accuracy: 0.940, Validation Accuracy: 0.935, Loss: 0.064
Epoch 13 Batch 109/269 - Train Accuracy: 0.919, Validation Accuracy: 0.930, Loss: 0.077
Epoch 13 Batch 110/269 - Train Accuracy: 0.926, Validation Accuracy: 0.933, Loss: 0.058
Epoch 13 Batch 111/269 - Train Accuracy: 0.926, Validation Accuracy: 0.936, Loss: 0.068
Epoch 13 Batch 112/269 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.065
Epoch 13 Batch 113/269 - Train Accuracy: 0.923, Validation Accuracy: 0.932, Loss: 0.066
Epoch 13 Batch 114/269 - Train Accuracy: 0.929, Validation Accuracy: 0.927, Loss: 0.060
Epoch 13 Batch 115/269 - Train Accuracy: 0.932, Validation Accuracy: 0.930, Loss: 0.065
Epoch 13 Batch 116/269 - Train Accuracy: 0.934, Validation Accuracy: 0.932, Loss: 0.068
Epoch 13 Batch 117/269 - Train Accuracy: 0.946, Validation Accuracy: 0.941, Loss: 0.063
Epoch 13 Batch 118/269 - Train Accuracy: 0.940, Validation Accuracy: 0.941, Loss: 0.057
Epoch 13 Batch 119/269 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.067
Epoch 13 Batch 120/269 - Train Accuracy: 0.930, Validation Accuracy: 0.931, Loss: 0.063
Epoch 13 Batch 121/269 - Train Accuracy: 0.930, Validation Accuracy: 0.923, Loss: 0.059
Epoch 13 Batch 122/269 - Train Accuracy: 0.936, Validation Accuracy: 0.926, Loss: 0.063
Epoch 13 Batch 123/269 - Train Accuracy: 0.934, Validation Accuracy: 0.924, Loss: 0.062
Epoch 13 Batch 124/269 - Train Accuracy: 0.933, Validation Accuracy: 0.928, Loss: 0.060
Epoch 13 Batch 125/269 - Train Accuracy: 0.942, Validation Accuracy: 0.930, Loss: 0.056
Epoch 13 Batch 126/269 - Train Accuracy: 0.924, Validation Accuracy: 0.927, Loss: 0.061
Epoch 13 Batch 127/269 - Train Accuracy: 0.928, Validation Accuracy: 0.926, Loss: 0.063
Epoch 13 Batch 128/269 - Train Accuracy: 0.939, Validation Accuracy: 0.930, Loss: 0.060
Epoch 13 Batch 129/269 - Train Accuracy: 0.920, Validation Accuracy: 0.932, Loss: 0.067
Epoch 13 Batch 130/269 - Train Accuracy: 0.941, Validation Accuracy: 0.935, Loss: 0.062
Epoch 13 Batch 131/269 - Train Accuracy: 0.932, Validation Accuracy: 0.935, Loss: 0.064
Epoch 13 Batch 132/269 - Train Accuracy: 0.926, Validation Accuracy: 0.932, Loss: 0.067
Epoch 13 Batch 133/269 - Train Accuracy: 0.939, Validation Accuracy: 0.932, Loss: 0.057
Epoch 13 Batch 134/269 - Train Accuracy: 0.948, Validation Accuracy: 0.934, Loss: 0.061
Epoch 13 Batch 135/269 - Train Accuracy: 0.935, Validation Accuracy: 0.932, Loss: 0.060
Epoch 13 Batch 136/269 - Train Accuracy: 0.914, Validation Accuracy: 0.937, Loss: 0.066
Epoch 13 Batch 137/269 - Train Accuracy: 0.928, Validation Accuracy: 0.935, Loss: 0.072
Epoch 13 Batch 138/269 - Train Accuracy: 0.934, Validation Accuracy: 0.942, Loss: 0.062
Epoch 13 Batch 139/269 - Train Accuracy: 0.936, Validation Accuracy: 0.932, Loss: 0.056
Epoch 13 Batch 140/269 - Train Accuracy: 0.938, Validation Accuracy: 0.935, Loss: 0.073
Epoch 13 Batch 141/269 - Train Accuracy: 0.928, Validation Accuracy: 0.939, Loss: 0.065
Epoch 13 Batch 142/269 - Train Accuracy: 0.933, Validation Accuracy: 0.939, Loss: 0.065
Epoch 13 Batch 143/269 - Train Accuracy: 0.943, Validation Accuracy: 0.936, Loss: 0.052
Epoch 13 Batch 144/269 - Train Accuracy: 0.946, Validation Accuracy: 0.937, Loss: 0.057
Epoch 13 Batch 145/269 - Train Accuracy: 0.943, Validation Accuracy: 0.934, Loss: 0.061
Epoch 13 Batch 146/269 - Train Accuracy: 0.931, Validation Accuracy: 0.936, Loss: 0.062
Epoch 13 Batch 147/269 - Train Accuracy: 0.928, Validation Accuracy: 0.931, Loss: 0.066
Epoch 13 Batch 148/269 - Train Accuracy: 0.935, Validation Accuracy: 0.932, Loss: 0.064
Epoch 13 Batch 149/269 - Train Accuracy: 0.924, Validation Accuracy: 0.934, Loss: 0.071
Epoch 13 Batch 150/269 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.068
Epoch 13 Batch 151/269 - Train Accuracy: 0.933, Validation Accuracy: 0.937, Loss: 0.068
Epoch 13 Batch 152/269 - Train Accuracy: 0.928, Validation Accuracy: 0.938, Loss: 0.067
Epoch 13 Batch 153/269 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.063
Epoch 13 Batch 154/269 - Train Accuracy: 0.943, Validation Accuracy: 0.939, Loss: 0.062
Epoch 13 Batch 155/269 - Train Accuracy: 0.932, Validation Accuracy: 0.938, Loss: 0.068
Epoch 13 Batch 156/269 - Train Accuracy: 0.937, Validation Accuracy: 0.943, Loss: 0.061
Epoch 13 Batch 157/269 - Train Accuracy: 0.924, Validation Accuracy: 0.946, Loss: 0.062
Epoch 13 Batch 158/269 - Train Accuracy: 0.936, Validation Accuracy: 0.941, Loss: 0.060
Epoch 13 Batch 159/269 - Train Accuracy: 0.931, Validation Accuracy: 0.940, Loss: 0.068
Epoch 13 Batch 160/269 - Train Accuracy: 0.925, Validation Accuracy: 0.941, Loss: 0.059
Epoch 13 Batch 161/269 - Train Accuracy: 0.937, Validation Accuracy: 0.940, Loss: 0.062
Epoch 13 Batch 162/269 - Train Accuracy: 0.934, Validation Accuracy: 0.933, Loss: 0.059
Epoch 13 Batch 163/269 - Train Accuracy: 0.949, Validation Accuracy: 0.931, Loss: 0.066
Epoch 13 Batch 164/269 - Train Accuracy: 0.945, Validation Accuracy: 0.936, Loss: 0.058
Epoch 13 Batch 165/269 - Train Accuracy: 0.934, Validation Accuracy: 0.935, Loss: 0.060
Epoch 13 Batch 166/269 - Train Accuracy: 0.939, Validation Accuracy: 0.936, Loss: 0.061
Epoch 13 Batch 167/269 - Train Accuracy: 0.941, Validation Accuracy: 0.937, Loss: 0.059
Epoch 13 Batch 168/269 - Train Accuracy: 0.937, Validation Accuracy: 0.942, Loss: 0.063
Epoch 13 Batch 169/269 - Train Accuracy: 0.918, Validation Accuracy: 0.939, Loss: 0.059
Epoch 13 Batch 170/269 - Train Accuracy: 0.926, Validation Accuracy: 0.936, Loss: 0.058
Epoch 13 Batch 171/269 - Train Accuracy: 0.953, Validation Accuracy: 0.931, Loss: 0.058
Epoch 13 Batch 172/269 - Train Accuracy: 0.926, Validation Accuracy: 0.938, Loss: 0.071
Epoch 13 Batch 173/269 - Train Accuracy: 0.939, Validation Accuracy: 0.936, Loss: 0.059
Epoch 13 Batch 174/269 - Train Accuracy: 0.948, Validation Accuracy: 0.938, Loss: 0.062
Epoch 13 Batch 175/269 - Train Accuracy: 0.920, Validation Accuracy: 0.932, Loss: 0.072
Epoch 13 Batch 176/269 - Train Accuracy: 0.924, Validation Accuracy: 0.935, Loss: 0.064
Epoch 13 Batch 177/269 - Train Accuracy: 0.938, Validation Accuracy: 0.941, Loss: 0.058
Epoch 13 Batch 178/269 - Train Accuracy: 0.944, Validation Accuracy: 0.940, Loss: 0.053
Epoch 13 Batch 179/269 - Train Accuracy: 0.925, Validation Accuracy: 0.938, Loss: 0.064
Epoch 13 Batch 180/269 - Train Accuracy: 0.944, Validation Accuracy: 0.937, Loss: 0.060
Epoch 13 Batch 181/269 - Train Accuracy: 0.926, Validation Accuracy: 0.938, Loss: 0.065
Epoch 13 Batch 182/269 - Train Accuracy: 0.930, Validation Accuracy: 0.939, Loss: 0.059
Epoch 13 Batch 183/269 - Train Accuracy: 0.950, Validation Accuracy: 0.943, Loss: 0.048
Epoch 13 Batch 184/269 - Train Accuracy: 0.940, Validation Accuracy: 0.944, Loss: 0.061
Epoch 13 Batch 185/269 - Train Accuracy: 0.941, Validation Accuracy: 0.945, Loss: 0.060
Epoch 13 Batch 186/269 - Train Accuracy: 0.933, Validation Accuracy: 0.940, Loss: 0.058
Epoch 13 Batch 187/269 - Train Accuracy: 0.935, Validation Accuracy: 0.931, Loss: 0.060
Epoch 13 Batch 188/269 - Train Accuracy: 0.938, Validation Accuracy: 0.934, Loss: 0.057
Epoch 13 Batch 189/269 - Train Accuracy: 0.938, Validation Accuracy: 0.932, Loss: 0.057
Epoch 13 Batch 190/269 - Train Accuracy: 0.937, Validation Accuracy: 0.934, Loss: 0.060
Epoch 13 Batch 191/269 - Train Accuracy: 0.927, Validation Accuracy: 0.931, Loss: 0.060
Epoch 13 Batch 192/269 - Train Accuracy: 0.939, Validation Accuracy: 0.931, Loss: 0.058
Epoch 13 Batch 193/269 - Train Accuracy: 0.930, Validation Accuracy: 0.937, Loss: 0.055
Epoch 13 Batch 194/269 - Train Accuracy: 0.938, Validation Accuracy: 0.932, Loss: 0.060
Epoch 13 Batch 195/269 - Train Accuracy: 0.918, Validation Accuracy: 0.932, Loss: 0.060
Epoch 13 Batch 196/269 - Train Accuracy: 0.920, Validation Accuracy: 0.936, Loss: 0.058
Epoch 13 Batch 197/269 - Train Accuracy: 0.931, Validation Accuracy: 0.934, Loss: 0.059
Epoch 13 Batch 198/269 - Train Accuracy: 0.932, Validation Accuracy: 0.938, Loss: 0.064
Epoch 13 Batch 199/269 - Train Accuracy: 0.936, Validation Accuracy: 0.940, Loss: 0.065
Epoch 13 Batch 200/269 - Train Accuracy: 0.942, Validation Accuracy: 0.936, Loss: 0.055
Epoch 13 Batch 201/269 - Train Accuracy: 0.931, Validation Accuracy: 0.934, Loss: 0.063
Epoch 13 Batch 202/269 - Train Accuracy: 0.937, Validation Accuracy: 0.935, Loss: 0.060
Epoch 13 Batch 203/269 - Train Accuracy: 0.927, Validation Accuracy: 0.938, Loss: 0.064
Epoch 13 Batch 204/269 - Train Accuracy: 0.925, Validation Accuracy: 0.940, Loss: 0.061
Epoch 13 Batch 205/269 - Train Accuracy: 0.944, Validation Accuracy: 0.939, Loss: 0.059
Epoch 13 Batch 206/269 - Train Accuracy: 0.926, Validation Accuracy: 0.939, Loss: 0.065
Epoch 13 Batch 207/269 - Train Accuracy: 0.926, Validation Accuracy: 0.941, Loss: 0.064
Epoch 13 Batch 208/269 - Train Accuracy: 0.945, Validation Accuracy: 0.946, Loss: 0.062
Epoch 13 Batch 209/269 - Train Accuracy: 0.946, Validation Accuracy: 0.948, Loss: 0.057
Epoch 13 Batch 210/269 - Train Accuracy: 0.937, Validation Accuracy: 0.946, Loss: 0.056
Epoch 13 Batch 211/269 - Train Accuracy: 0.933, Validation Accuracy: 0.940, Loss: 0.065
Epoch 13 Batch 212/269 - Train Accuracy: 0.937, Validation Accuracy: 0.935, Loss: 0.066
Epoch 13 Batch 213/269 - Train Accuracy: 0.929, Validation Accuracy: 0.940, Loss: 0.060
Epoch 13 Batch 214/269 - Train Accuracy: 0.938, Validation Accuracy: 0.942, Loss: 0.059
Epoch 13 Batch 215/269 - Train Accuracy: 0.941, Validation Accuracy: 0.940, Loss: 0.053
Epoch 13 Batch 216/269 - Train Accuracy: 0.931, Validation Accuracy: 0.938, Loss: 0.073
Epoch 13 Batch 217/269 - Train Accuracy: 0.922, Validation Accuracy: 0.942, Loss: 0.061
Epoch 13 Batch 218/269 - Train Accuracy: 0.928, Validation Accuracy: 0.945, Loss: 0.056
Epoch 13 Batch 219/269 - Train Accuracy: 0.941, Validation Accuracy: 0.942, Loss: 0.061
Epoch 13 Batch 220/269 - Train Accuracy: 0.936, Validation Accuracy: 0.949, Loss: 0.055
Epoch 13 Batch 221/269 - Train Accuracy: 0.944, Validation Accuracy: 0.949, Loss: 0.060
Epoch 13 Batch 222/269 - Train Accuracy: 0.943, Validation Accuracy: 0.951, Loss: 0.056
Epoch 13 Batch 223/269 - Train Accuracy: 0.935, Validation Accuracy: 0.944, Loss: 0.054
Epoch 13 Batch 224/269 - Train Accuracy: 0.939, Validation Accuracy: 0.944, Loss: 0.063
Epoch 13 Batch 225/269 - Train Accuracy: 0.933, Validation Accuracy: 0.948, Loss: 0.052
Epoch 13 Batch 226/269 - Train Accuracy: 0.941, Validation Accuracy: 0.943, Loss: 0.060
Epoch 13 Batch 227/269 - Train Accuracy: 0.943, Validation Accuracy: 0.949, Loss: 0.068
Epoch 13 Batch 228/269 - Train Accuracy: 0.929, Validation Accuracy: 0.949, Loss: 0.056
Epoch 13 Batch 229/269 - Train Accuracy: 0.935, Validation Accuracy: 0.945, Loss: 0.055
Epoch 13 Batch 230/269 - Train Accuracy: 0.952, Validation Accuracy: 0.942, Loss: 0.057
Epoch 13 Batch 231/269 - Train Accuracy: 0.928, Validation Accuracy: 0.944, Loss: 0.059
Epoch 13 Batch 232/269 - Train Accuracy: 0.934, Validation Accuracy: 0.945, Loss: 0.055
Epoch 13 Batch 233/269 - Train Accuracy: 0.937, Validation Accuracy: 0.947, Loss: 0.065
Epoch 13 Batch 234/269 - Train Accuracy: 0.937, Validation Accuracy: 0.946, Loss: 0.057
Epoch 13 Batch 235/269 - Train Accuracy: 0.969, Validation Accuracy: 0.943, Loss: 0.048
Epoch 13 Batch 236/269 - Train Accuracy: 0.936, Validation Accuracy: 0.942, Loss: 0.057
Epoch 13 Batch 237/269 - Train Accuracy: 0.936, Validation Accuracy: 0.945, Loss: 0.056
Epoch 13 Batch 238/269 - Train Accuracy: 0.931, Validation Accuracy: 0.947, Loss: 0.061
Epoch 13 Batch 239/269 - Train Accuracy: 0.938, Validation Accuracy: 0.949, Loss: 0.060
Epoch 13 Batch 240/269 - Train Accuracy: 0.940, Validation Accuracy: 0.949, Loss: 0.054
Epoch 13 Batch 241/269 - Train Accuracy: 0.933, Validation Accuracy: 0.947, Loss: 0.061
Epoch 13 Batch 242/269 - Train Accuracy: 0.936, Validation Accuracy: 0.941, Loss: 0.060
Epoch 13 Batch 243/269 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.051
Epoch 13 Batch 244/269 - Train Accuracy: 0.935, Validation Accuracy: 0.942, Loss: 0.059
Epoch 13 Batch 245/269 - Train Accuracy: 0.930, Validation Accuracy: 0.940, Loss: 0.057
Epoch 13 Batch 246/269 - Train Accuracy: 0.929, Validation Accuracy: 0.944, Loss: 0.059
Epoch 13 Batch 247/269 - Train Accuracy: 0.937, Validation Accuracy: 0.944, Loss: 0.056
Epoch 13 Batch 248/269 - Train Accuracy: 0.938, Validation Accuracy: 0.941, Loss: 0.057
Epoch 13 Batch 249/269 - Train Accuracy: 0.936, Validation Accuracy: 0.934, Loss: 0.052
Epoch 13 Batch 250/269 - Train Accuracy: 0.948, Validation Accuracy: 0.933, Loss: 0.057
Epoch 13 Batch 251/269 - Train Accuracy: 0.961, Validation Accuracy: 0.933, Loss: 0.053
Epoch 13 Batch 252/269 - Train Accuracy: 0.953, Validation Accuracy: 0.938, Loss: 0.051
Epoch 13 Batch 253/269 - Train Accuracy: 0.920, Validation Accuracy: 0.938, Loss: 0.061
Epoch 13 Batch 254/269 - Train Accuracy: 0.947, Validation Accuracy: 0.940, Loss: 0.056
Epoch 13 Batch 255/269 - Train Accuracy: 0.933, Validation Accuracy: 0.943, Loss: 0.059
Epoch 13 Batch 256/269 - Train Accuracy: 0.926, Validation Accuracy: 0.939, Loss: 0.055
Epoch 13 Batch 257/269 - Train Accuracy: 0.926, Validation Accuracy: 0.939, Loss: 0.066
Epoch 13 Batch 258/269 - Train Accuracy: 0.938, Validation Accuracy: 0.925, Loss: 0.058
Epoch 13 Batch 259/269 - Train Accuracy: 0.941, Validation Accuracy: 0.932, Loss: 0.056
Epoch 13 Batch 260/269 - Train Accuracy: 0.924, Validation Accuracy: 0.933, Loss: 0.062
Epoch 13 Batch 261/269 - Train Accuracy: 0.942, Validation Accuracy: 0.929, Loss: 0.062
Epoch 13 Batch 262/269 - Train Accuracy: 0.933, Validation Accuracy: 0.936, Loss: 0.060
Epoch 13 Batch 263/269 - Train Accuracy: 0.932, Validation Accuracy: 0.942, Loss: 0.064
Epoch 13 Batch 264/269 - Train Accuracy: 0.924, Validation Accuracy: 0.942, Loss: 0.065
Epoch 13 Batch 265/269 - Train Accuracy: 0.926, Validation Accuracy: 0.951, Loss: 0.062
Epoch 13 Batch 266/269 - Train Accuracy: 0.932, Validation Accuracy: 0.945, Loss: 0.058
Epoch 13 Batch 267/269 - Train Accuracy: 0.943, Validation Accuracy: 0.940, Loss: 0.065
Epoch 14 Batch 0/269 - Train Accuracy: 0.949, Validation Accuracy: 0.937, Loss: 0.068
Epoch 14 Batch 1/269 - Train Accuracy: 0.938, Validation Accuracy: 0.943, Loss: 0.056
Epoch 14 Batch 2/269 - Train Accuracy: 0.934, Validation Accuracy: 0.943, Loss: 0.058
Epoch 14 Batch 3/269 - Train Accuracy: 0.946, Validation Accuracy: 0.939, Loss: 0.056
Epoch 14 Batch 4/269 - Train Accuracy: 0.930, Validation Accuracy: 0.939, Loss: 0.061
Epoch 14 Batch 5/269 - Train Accuracy: 0.946, Validation Accuracy: 0.935, Loss: 0.059
Epoch 14 Batch 6/269 - Train Accuracy: 0.946, Validation Accuracy: 0.934, Loss: 0.055
Epoch 14 Batch 7/269 - Train Accuracy: 0.940, Validation Accuracy: 0.932, Loss: 0.055
Epoch 14 Batch 8/269 - Train Accuracy: 0.950, Validation Accuracy: 0.932, Loss: 0.063
Epoch 14 Batch 9/269 - Train Accuracy: 0.932, Validation Accuracy: 0.936, Loss: 0.060
Epoch 14 Batch 10/269 - Train Accuracy: 0.938, Validation Accuracy: 0.936, Loss: 0.053
Epoch 14 Batch 11/269 - Train Accuracy: 0.944, Validation Accuracy: 0.939, Loss: 0.064
Epoch 14 Batch 12/269 - Train Accuracy: 0.924, Validation Accuracy: 0.943, Loss: 0.067
Epoch 14 Batch 13/269 - Train Accuracy: 0.946, Validation Accuracy: 0.936, Loss: 0.053
Epoch 14 Batch 14/269 - Train Accuracy: 0.943, Validation Accuracy: 0.938, Loss: 0.056
Epoch 14 Batch 15/269 - Train Accuracy: 0.946, Validation Accuracy: 0.937, Loss: 0.047
Epoch 14 Batch 16/269 - Train Accuracy: 0.941, Validation Accuracy: 0.939, Loss: 0.064
Epoch 14 Batch 17/269 - Train Accuracy: 0.941, Validation Accuracy: 0.943, Loss: 0.049
Epoch 14 Batch 18/269 - Train Accuracy: 0.933, Validation Accuracy: 0.945, Loss: 0.058
Epoch 14 Batch 19/269 - Train Accuracy: 0.942, Validation Accuracy: 0.943, Loss: 0.050
Epoch 14 Batch 20/269 - Train Accuracy: 0.940, Validation Accuracy: 0.947, Loss: 0.054
Epoch 14 Batch 21/269 - Train Accuracy: 0.921, Validation Accuracy: 0.938, Loss: 0.066
Epoch 14 Batch 22/269 - Train Accuracy: 0.951, Validation Accuracy: 0.940, Loss: 0.052
Epoch 14 Batch 23/269 - Train Accuracy: 0.933, Validation Accuracy: 0.938, Loss: 0.061
Epoch 14 Batch 24/269 - Train Accuracy: 0.934, Validation Accuracy: 0.942, Loss: 0.056
Epoch 14 Batch 25/269 - Train Accuracy: 0.939, Validation Accuracy: 0.937, Loss: 0.061
Epoch 14 Batch 26/269 - Train Accuracy: 0.937, Validation Accuracy: 0.939, Loss: 0.054
Epoch 14 Batch 27/269 - Train Accuracy: 0.943, Validation Accuracy: 0.934, Loss: 0.052
Epoch 14 Batch 28/269 - Train Accuracy: 0.923, Validation Accuracy: 0.942, Loss: 0.061
Epoch 14 Batch 29/269 - Train Accuracy: 0.940, Validation Accuracy: 0.939, Loss: 0.059
Epoch 14 Batch 30/269 - Train Accuracy: 0.947, Validation Accuracy: 0.937, Loss: 0.056
Epoch 14 Batch 31/269 - Train Accuracy: 0.943, Validation Accuracy: 0.937, Loss: 0.057
Epoch 14 Batch 32/269 - Train Accuracy: 0.952, Validation Accuracy: 0.936, Loss: 0.051
Epoch 14 Batch 33/269 - Train Accuracy: 0.942, Validation Accuracy: 0.933, Loss: 0.051
Epoch 14 Batch 34/269 - Train Accuracy: 0.943, Validation Accuracy: 0.931, Loss: 0.052
Epoch 14 Batch 35/269 - Train Accuracy: 0.939, Validation Accuracy: 0.933, Loss: 0.064
Epoch 14 Batch 36/269 - Train Accuracy: 0.930, Validation Accuracy: 0.941, Loss: 0.055
Epoch 14 Batch 37/269 - Train Accuracy: 0.937, Validation Accuracy: 0.939, Loss: 0.057
Epoch 14 Batch 38/269 - Train Accuracy: 0.932, Validation Accuracy: 0.936, Loss: 0.056
Epoch 14 Batch 39/269 - Train Accuracy: 0.942, Validation Accuracy: 0.939, Loss: 0.055
Epoch 14 Batch 40/269 - Train Accuracy: 0.926, Validation Accuracy: 0.939, Loss: 0.063
Epoch 14 Batch 41/269 - Train Accuracy: 0.941, Validation Accuracy: 0.944, Loss: 0.060
Epoch 14 Batch 42/269 - Train Accuracy: 0.954, Validation Accuracy: 0.942, Loss: 0.051
Epoch 14 Batch 43/269 - Train Accuracy: 0.941, Validation Accuracy: 0.942, Loss: 0.056
Epoch 14 Batch 44/269 - Train Accuracy: 0.941, Validation Accuracy: 0.941, Loss: 0.059
Epoch 14 Batch 45/269 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.060
Epoch 14 Batch 46/269 - Train Accuracy: 0.941, Validation Accuracy: 0.943, Loss: 0.058
Epoch 14 Batch 47/269 - Train Accuracy: 0.941, Validation Accuracy: 0.947, Loss: 0.050
Epoch 14 Batch 48/269 - Train Accuracy: 0.948, Validation Accuracy: 0.941, Loss: 0.053
Epoch 14 Batch 49/269 - Train Accuracy: 0.943, Validation Accuracy: 0.941, Loss: 0.052
Epoch 14 Batch 50/269 - Train Accuracy: 0.932, Validation Accuracy: 0.943, Loss: 0.062
Epoch 14 Batch 51/269 - Train Accuracy: 0.942, Validation Accuracy: 0.941, Loss: 0.057
Epoch 14 Batch 52/269 - Train Accuracy: 0.929, Validation Accuracy: 0.937, Loss: 0.050
Epoch 14 Batch 53/269 - Train Accuracy: 0.941, Validation Accuracy: 0.936, Loss: 0.061
Epoch 14 Batch 54/269 - Train Accuracy: 0.948, Validation Accuracy: 0.933, Loss: 0.053
Epoch 14 Batch 55/269 - Train Accuracy: 0.939, Validation Accuracy: 0.930, Loss: 0.055
Epoch 14 Batch 56/269 - Train Accuracy: 0.925, Validation Accuracy: 0.932, Loss: 0.059
Epoch 14 Batch 57/269 - Train Accuracy: 0.939, Validation Accuracy: 0.935, Loss: 0.058
Epoch 14 Batch 58/269 - Train Accuracy: 0.933, Validation Accuracy: 0.937, Loss: 0.054
Epoch 14 Batch 59/269 - Train Accuracy: 0.957, Validation Accuracy: 0.935, Loss: 0.044
Epoch 14 Batch 60/269 - Train Accuracy: 0.937, Validation Accuracy: 0.940, Loss: 0.054
Epoch 14 Batch 61/269 - Train Accuracy: 0.936, Validation Accuracy: 0.942, Loss: 0.053
Epoch 14 Batch 62/269 - Train Accuracy: 0.934, Validation Accuracy: 0.938, Loss: 0.058
Epoch 14 Batch 63/269 - Train Accuracy: 0.933, Validation Accuracy: 0.935, Loss: 0.063
Epoch 14 Batch 64/269 - Train Accuracy: 0.946, Validation Accuracy: 0.934, Loss: 0.050
Epoch 14 Batch 65/269 - Train Accuracy: 0.944, Validation Accuracy: 0.939, Loss: 0.052
Epoch 14 Batch 66/269 - Train Accuracy: 0.935, Validation Accuracy: 0.943, Loss: 0.060
Epoch 14 Batch 67/269 - Train Accuracy: 0.942, Validation Accuracy: 0.939, Loss: 0.064
Epoch 14 Batch 68/269 - Train Accuracy: 0.925, Validation Accuracy: 0.936, Loss: 0.063
Epoch 14 Batch 69/269 - Train Accuracy: 0.920, Validation Accuracy: 0.932, Loss: 0.072
Epoch 14 Batch 70/269 - Train Accuracy: 0.940, Validation Accuracy: 0.937, Loss: 0.057
Epoch 14 Batch 71/269 - Train Accuracy: 0.936, Validation Accuracy: 0.943, Loss: 0.066
Epoch 14 Batch 72/269 - Train Accuracy: 0.937, Validation Accuracy: 0.941, Loss: 0.063
Epoch 14 Batch 73/269 - Train Accuracy: 0.930, Validation Accuracy: 0.944, Loss: 0.063
Epoch 14 Batch 74/269 - Train Accuracy: 0.943, Validation Accuracy: 0.937, Loss: 0.057
Epoch 14 Batch 75/269 - Train Accuracy: 0.930, Validation Accuracy: 0.935, Loss: 0.062
Epoch 14 Batch 76/269 - Train Accuracy: 0.930, Validation Accuracy: 0.948, Loss: 0.056
Epoch 14 Batch 77/269 - Train Accuracy: 0.934, Validation Accuracy: 0.945, Loss: 0.056
Epoch 14 Batch 78/269 - Train Accuracy: 0.938, Validation Accuracy: 0.938, Loss: 0.058
Epoch 14 Batch 79/269 - Train Accuracy: 0.922, Validation Accuracy: 0.932, Loss: 0.055
Epoch 14 Batch 80/269 - Train Accuracy: 0.945, Validation Accuracy: 0.934, Loss: 0.054
Epoch 14 Batch 81/269 - Train Accuracy: 0.937, Validation Accuracy: 0.937, Loss: 0.067
Epoch 14 Batch 82/269 - Train Accuracy: 0.940, Validation Accuracy: 0.934, Loss: 0.048
Epoch 14 Batch 83/269 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.066
Epoch 14 Batch 84/269 - Train Accuracy: 0.941, Validation Accuracy: 0.934, Loss: 0.055
Epoch 14 Batch 85/269 - Train Accuracy: 0.949, Validation Accuracy: 0.934, Loss: 0.055
Epoch 14 Batch 86/269 - Train Accuracy: 0.943, Validation Accuracy: 0.939, Loss: 0.052
Epoch 14 Batch 87/269 - Train Accuracy: 0.947, Validation Accuracy: 0.938, Loss: 0.057
Epoch 14 Batch 88/269 - Train Accuracy: 0.930, Validation Accuracy: 0.941, Loss: 0.058
Epoch 14 Batch 89/269 - Train Accuracy: 0.947, Validation Accuracy: 0.933, Loss: 0.053
Epoch 14 Batch 90/269 - Train Accuracy: 0.941, Validation Accuracy: 0.933, Loss: 0.059
Epoch 14 Batch 91/269 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.050
Epoch 14 Batch 92/269 - Train Accuracy: 0.953, Validation Accuracy: 0.942, Loss: 0.051
Epoch 14 Batch 93/269 - Train Accuracy: 0.949, Validation Accuracy: 0.943, Loss: 0.050
Epoch 14 Batch 94/269 - Train Accuracy: 0.940, Validation Accuracy: 0.940, Loss: 0.065
Epoch 14 Batch 95/269 - Train Accuracy: 0.952, Validation Accuracy: 0.937, Loss: 0.056
Epoch 14 Batch 96/269 - Train Accuracy: 0.923, Validation Accuracy: 0.933, Loss: 0.062
Epoch 14 Batch 97/269 - Train Accuracy: 0.942, Validation Accuracy: 0.936, Loss: 0.060
Epoch 14 Batch 98/269 - Train Accuracy: 0.942, Validation Accuracy: 0.941, Loss: 0.059
Epoch 14 Batch 99/269 - Train Accuracy: 0.938, Validation Accuracy: 0.940, Loss: 0.055
Epoch 14 Batch 100/269 - Train Accuracy: 0.945, Validation Accuracy: 0.939, Loss: 0.056
Epoch 14 Batch 101/269 - Train Accuracy: 0.932, Validation Accuracy: 0.939, Loss: 0.069
Epoch 14 Batch 102/269 - Train Accuracy: 0.941, Validation Accuracy: 0.939, Loss: 0.052
Epoch 14 Batch 103/269 - Train Accuracy: 0.928, Validation Accuracy: 0.939, Loss: 0.062
Epoch 14 Batch 104/269 - Train Accuracy: 0.944, Validation Accuracy: 0.939, Loss: 0.054
Epoch 14 Batch 105/269 - Train Accuracy: 0.939, Validation Accuracy: 0.939, Loss: 0.056
Epoch 14 Batch 106/269 - Train Accuracy: 0.947, Validation Accuracy: 0.938, Loss: 0.049
Epoch 14 Batch 107/269 - Train Accuracy: 0.940, Validation Accuracy: 0.947, Loss: 0.055
Epoch 14 Batch 108/269 - Train Accuracy: 0.942, Validation Accuracy: 0.943, Loss: 0.057
Epoch 14 Batch 109/269 - Train Accuracy: 0.930, Validation Accuracy: 0.948, Loss: 0.060
Epoch 14 Batch 110/269 - Train Accuracy: 0.930, Validation Accuracy: 0.936, Loss: 0.051
Epoch 14 Batch 111/269 - Train Accuracy: 0.935, Validation Accuracy: 0.938, Loss: 0.059
Epoch 14 Batch 112/269 - Train Accuracy: 0.940, Validation Accuracy: 0.940, Loss: 0.057
Epoch 14 Batch 113/269 - Train Accuracy: 0.934, Validation Accuracy: 0.943, Loss: 0.055
Epoch 14 Batch 114/269 - Train Accuracy: 0.936, Validation Accuracy: 0.946, Loss: 0.055
Epoch 14 Batch 115/269 - Train Accuracy: 0.937, Validation Accuracy: 0.935, Loss: 0.059
Epoch 14 Batch 116/269 - Train Accuracy: 0.940, Validation Accuracy: 0.940, Loss: 0.055
Epoch 14 Batch 117/269 - Train Accuracy: 0.943, Validation Accuracy: 0.945, Loss: 0.052
Epoch 14 Batch 118/269 - Train Accuracy: 0.943, Validation Accuracy: 0.942, Loss: 0.052
Epoch 14 Batch 119/269 - Train Accuracy: 0.931, Validation Accuracy: 0.945, Loss: 0.059
Epoch 14 Batch 120/269 - Train Accuracy: 0.935, Validation Accuracy: 0.942, Loss: 0.057
Epoch 14 Batch 121/269 - Train Accuracy: 0.937, Validation Accuracy: 0.938, Loss: 0.054
Epoch 14 Batch 122/269 - Train Accuracy: 0.938, Validation Accuracy: 0.927, Loss: 0.053
Epoch 14 Batch 123/269 - Train Accuracy: 0.936, Validation Accuracy: 0.932, Loss: 0.056
Epoch 14 Batch 124/269 - Train Accuracy: 0.948, Validation Accuracy: 0.937, Loss: 0.050
Epoch 14 Batch 125/269 - Train Accuracy: 0.941, Validation Accuracy: 0.937, Loss: 0.048
Epoch 14 Batch 126/269 - Train Accuracy: 0.926, Validation Accuracy: 0.936, Loss: 0.057
Epoch 14 Batch 127/269 - Train Accuracy: 0.933, Validation Accuracy: 0.937, Loss: 0.055
Epoch 14 Batch 128/269 - Train Accuracy: 0.941, Validation Accuracy: 0.934, Loss: 0.053
Epoch 14 Batch 129/269 - Train Accuracy: 0.924, Validation Accuracy: 0.940, Loss: 0.058
Epoch 14 Batch 130/269 - Train Accuracy: 0.944, Validation Accuracy: 0.945, Loss: 0.055
Epoch 14 Batch 131/269 - Train Accuracy: 0.934, Validation Accuracy: 0.940, Loss: 0.053
Epoch 14 Batch 132/269 - Train Accuracy: 0.933, Validation Accuracy: 0.948, Loss: 0.062
Epoch 14 Batch 133/269 - Train Accuracy: 0.946, Validation Accuracy: 0.940, Loss: 0.049
Epoch 14 Batch 134/269 - Train Accuracy: 0.952, Validation Accuracy: 0.942, Loss: 0.054
Epoch 14 Batch 135/269 - Train Accuracy: 0.941, Validation Accuracy: 0.937, Loss: 0.055
Epoch 14 Batch 136/269 - Train Accuracy: 0.922, Validation Accuracy: 0.947, Loss: 0.059
Epoch 14 Batch 137/269 - Train Accuracy: 0.933, Validation Accuracy: 0.946, Loss: 0.065
Epoch 14 Batch 138/269 - Train Accuracy: 0.938, Validation Accuracy: 0.944, Loss: 0.051
Epoch 14 Batch 139/269 - Train Accuracy: 0.933, Validation Accuracy: 0.943, Loss: 0.051
Epoch 14 Batch 140/269 - Train Accuracy: 0.940, Validation Accuracy: 0.941, Loss: 0.062
Epoch 14 Batch 141/269 - Train Accuracy: 0.937, Validation Accuracy: 0.940, Loss: 0.056
Epoch 14 Batch 142/269 - Train Accuracy: 0.949, Validation Accuracy: 0.938, Loss: 0.054
Epoch 14 Batch 143/269 - Train Accuracy: 0.953, Validation Accuracy: 0.936, Loss: 0.047
Epoch 14 Batch 144/269 - Train Accuracy: 0.954, Validation Accuracy: 0.936, Loss: 0.045
Epoch 14 Batch 145/269 - Train Accuracy: 0.943, Validation Accuracy: 0.936, Loss: 0.054
Epoch 14 Batch 146/269 - Train Accuracy: 0.938, Validation Accuracy: 0.943, Loss: 0.051
Epoch 14 Batch 147/269 - Train Accuracy: 0.934, Validation Accuracy: 0.940, Loss: 0.060
Epoch 14 Batch 148/269 - Train Accuracy: 0.941, Validation Accuracy: 0.944, Loss: 0.050
Epoch 14 Batch 149/269 - Train Accuracy: 0.937, Validation Accuracy: 0.945, Loss: 0.062
Epoch 14 Batch 150/269 - Train Accuracy: 0.933, Validation Accuracy: 0.939, Loss: 0.055
Epoch 14 Batch 151/269 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.055
Epoch 14 Batch 152/269 - Train Accuracy: 0.936, Validation Accuracy: 0.940, Loss: 0.055
Epoch 14 Batch 153/269 - Train Accuracy: 0.947, Validation Accuracy: 0.937, Loss: 0.054
Epoch 14 Batch 154/269 - Train Accuracy: 0.954, Validation Accuracy: 0.943, Loss: 0.051
Epoch 14 Batch 155/269 - Train Accuracy: 0.929, Validation Accuracy: 0.944, Loss: 0.052
Epoch 14 Batch 156/269 - Train Accuracy: 0.942, Validation Accuracy: 0.939, Loss: 0.051
Epoch 14 Batch 157/269 - Train Accuracy: 0.932, Validation Accuracy: 0.935, Loss: 0.049
Epoch 14 Batch 158/269 - Train Accuracy: 0.935, Validation Accuracy: 0.941, Loss: 0.055
Epoch 14 Batch 159/269 - Train Accuracy: 0.939, Validation Accuracy: 0.942, Loss: 0.056
Epoch 14 Batch 160/269 - Train Accuracy: 0.924, Validation Accuracy: 0.948, Loss: 0.053
Epoch 14 Batch 161/269 - Train Accuracy: 0.943, Validation Accuracy: 0.947, Loss: 0.054
Epoch 14 Batch 162/269 - Train Accuracy: 0.936, Validation Accuracy: 0.950, Loss: 0.055
Epoch 14 Batch 163/269 - Train Accuracy: 0.948, Validation Accuracy: 0.941, Loss: 0.056
Epoch 14 Batch 164/269 - Train Accuracy: 0.945, Validation Accuracy: 0.937, Loss: 0.053
Epoch 14 Batch 165/269 - Train Accuracy: 0.937, Validation Accuracy: 0.942, Loss: 0.056
Epoch 14 Batch 166/269 - Train Accuracy: 0.940, Validation Accuracy: 0.946, Loss: 0.054
Epoch 14 Batch 167/269 - Train Accuracy: 0.943, Validation Accuracy: 0.941, Loss: 0.051
Epoch 14 Batch 168/269 - Train Accuracy: 0.946, Validation Accuracy: 0.945, Loss: 0.057
Epoch 14 Batch 169/269 - Train Accuracy: 0.932, Validation Accuracy: 0.945, Loss: 0.051
Epoch 14 Batch 170/269 - Train Accuracy: 0.935, Validation Accuracy: 0.940, Loss: 0.051
Epoch 14 Batch 171/269 - Train Accuracy: 0.952, Validation Accuracy: 0.936, Loss: 0.050
Epoch 14 Batch 172/269 - Train Accuracy: 0.931, Validation Accuracy: 0.939, Loss: 0.057
Epoch 14 Batch 173/269 - Train Accuracy: 0.940, Validation Accuracy: 0.940, Loss: 0.050
Epoch 14 Batch 174/269 - Train Accuracy: 0.949, Validation Accuracy: 0.943, Loss: 0.054
Epoch 14 Batch 175/269 - Train Accuracy: 0.934, Validation Accuracy: 0.941, Loss: 0.063
Epoch 14 Batch 176/269 - Train Accuracy: 0.926, Validation Accuracy: 0.944, Loss: 0.060
Epoch 14 Batch 177/269 - Train Accuracy: 0.944, Validation Accuracy: 0.943, Loss: 0.053
Epoch 14 Batch 178/269 - Train Accuracy: 0.946, Validation Accuracy: 0.937, Loss: 0.048
Epoch 14 Batch 179/269 - Train Accuracy: 0.936, Validation Accuracy: 0.937, Loss: 0.053
Epoch 14 Batch 180/269 - Train Accuracy: 0.953, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 181/269 - Train Accuracy: 0.931, Validation Accuracy: 0.945, Loss: 0.058
Epoch 14 Batch 182/269 - Train Accuracy: 0.942, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 183/269 - Train Accuracy: 0.946, Validation Accuracy: 0.937, Loss: 0.045
Epoch 14 Batch 184/269 - Train Accuracy: 0.948, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 185/269 - Train Accuracy: 0.945, Validation Accuracy: 0.953, Loss: 0.055
Epoch 14 Batch 186/269 - Train Accuracy: 0.930, Validation Accuracy: 0.943, Loss: 0.049
Epoch 14 Batch 187/269 - Train Accuracy: 0.940, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 188/269 - Train Accuracy: 0.939, Validation Accuracy: 0.940, Loss: 0.051
Epoch 14 Batch 189/269 - Train Accuracy: 0.947, Validation Accuracy: 0.945, Loss: 0.052
Epoch 14 Batch 190/269 - Train Accuracy: 0.941, Validation Accuracy: 0.940, Loss: 0.052
Epoch 14 Batch 191/269 - Train Accuracy: 0.923, Validation Accuracy: 0.942, Loss: 0.054
Epoch 14 Batch 192/269 - Train Accuracy: 0.940, Validation Accuracy: 0.940, Loss: 0.054
Epoch 14 Batch 193/269 - Train Accuracy: 0.939, Validation Accuracy: 0.937, Loss: 0.047
Epoch 14 Batch 194/269 - Train Accuracy: 0.939, Validation Accuracy: 0.942, Loss: 0.057
Epoch 14 Batch 195/269 - Train Accuracy: 0.925, Validation Accuracy: 0.945, Loss: 0.054
Epoch 14 Batch 196/269 - Train Accuracy: 0.937, Validation Accuracy: 0.944, Loss: 0.051
Epoch 14 Batch 197/269 - Train Accuracy: 0.938, Validation Accuracy: 0.943, Loss: 0.056
Epoch 14 Batch 198/269 - Train Accuracy: 0.943, Validation Accuracy: 0.942, Loss: 0.058
Epoch 14 Batch 199/269 - Train Accuracy: 0.937, Validation Accuracy: 0.939, Loss: 0.057
Epoch 14 Batch 200/269 - Train Accuracy: 0.940, Validation Accuracy: 0.937, Loss: 0.052
Epoch 14 Batch 201/269 - Train Accuracy: 0.936, Validation Accuracy: 0.942, Loss: 0.056
Epoch 14 Batch 202/269 - Train Accuracy: 0.945, Validation Accuracy: 0.940, Loss: 0.053
Epoch 14 Batch 203/269 - Train Accuracy: 0.938, Validation Accuracy: 0.936, Loss: 0.056
Epoch 14 Batch 204/269 - Train Accuracy: 0.936, Validation Accuracy: 0.944, Loss: 0.056
Epoch 14 Batch 205/269 - Train Accuracy: 0.945, Validation Accuracy: 0.944, Loss: 0.055
Epoch 14 Batch 206/269 - Train Accuracy: 0.929, Validation Accuracy: 0.943, Loss: 0.056
Epoch 14 Batch 207/269 - Train Accuracy: 0.936, Validation Accuracy: 0.944, Loss: 0.055
Epoch 14 Batch 208/269 - Train Accuracy: 0.947, Validation Accuracy: 0.942, Loss: 0.055
Epoch 14 Batch 209/269 - Train Accuracy: 0.952, Validation Accuracy: 0.944, Loss: 0.052
Epoch 14 Batch 210/269 - Train Accuracy: 0.945, Validation Accuracy: 0.949, Loss: 0.051
Epoch 14 Batch 211/269 - Train Accuracy: 0.941, Validation Accuracy: 0.945, Loss: 0.057
Epoch 14 Batch 212/269 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.059
Epoch 14 Batch 213/269 - Train Accuracy: 0.937, Validation Accuracy: 0.939, Loss: 0.055
Epoch 14 Batch 214/269 - Train Accuracy: 0.944, Validation Accuracy: 0.942, Loss: 0.053
Epoch 14 Batch 215/269 - Train Accuracy: 0.938, Validation Accuracy: 0.944, Loss: 0.049
Epoch 14 Batch 216/269 - Train Accuracy: 0.931, Validation Accuracy: 0.943, Loss: 0.066
Epoch 14 Batch 217/269 - Train Accuracy: 0.935, Validation Accuracy: 0.944, Loss: 0.057
Epoch 14 Batch 218/269 - Train Accuracy: 0.932, Validation Accuracy: 0.941, Loss: 0.049
Epoch 14 Batch 219/269 - Train Accuracy: 0.956, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 220/269 - Train Accuracy: 0.940, Validation Accuracy: 0.949, Loss: 0.051
Epoch 14 Batch 221/269 - Train Accuracy: 0.945, Validation Accuracy: 0.951, Loss: 0.053
Epoch 14 Batch 222/269 - Train Accuracy: 0.947, Validation Accuracy: 0.950, Loss: 0.048
Epoch 14 Batch 223/269 - Train Accuracy: 0.939, Validation Accuracy: 0.950, Loss: 0.050
Epoch 14 Batch 224/269 - Train Accuracy: 0.937, Validation Accuracy: 0.944, Loss: 0.058
Epoch 14 Batch 225/269 - Train Accuracy: 0.936, Validation Accuracy: 0.947, Loss: 0.048
Epoch 14 Batch 226/269 - Train Accuracy: 0.940, Validation Accuracy: 0.950, Loss: 0.055
Epoch 14 Batch 227/269 - Train Accuracy: 0.939, Validation Accuracy: 0.949, Loss: 0.059
Epoch 14 Batch 228/269 - Train Accuracy: 0.942, Validation Accuracy: 0.947, Loss: 0.052
Epoch 14 Batch 229/269 - Train Accuracy: 0.938, Validation Accuracy: 0.949, Loss: 0.051
Epoch 14 Batch 230/269 - Train Accuracy: 0.955, Validation Accuracy: 0.950, Loss: 0.052
Epoch 14 Batch 231/269 - Train Accuracy: 0.935, Validation Accuracy: 0.951, Loss: 0.055
Epoch 14 Batch 232/269 - Train Accuracy: 0.937, Validation Accuracy: 0.948, Loss: 0.052
Epoch 14 Batch 233/269 - Train Accuracy: 0.943, Validation Accuracy: 0.951, Loss: 0.057
Epoch 14 Batch 234/269 - Train Accuracy: 0.941, Validation Accuracy: 0.951, Loss: 0.048
Epoch 14 Batch 235/269 - Train Accuracy: 0.971, Validation Accuracy: 0.949, Loss: 0.042
Epoch 14 Batch 236/269 - Train Accuracy: 0.944, Validation Accuracy: 0.950, Loss: 0.050
Epoch 14 Batch 237/269 - Train Accuracy: 0.943, Validation Accuracy: 0.951, Loss: 0.049
Epoch 14 Batch 238/269 - Train Accuracy: 0.928, Validation Accuracy: 0.947, Loss: 0.054
Epoch 14 Batch 239/269 - Train Accuracy: 0.944, Validation Accuracy: 0.945, Loss: 0.050
Epoch 14 Batch 240/269 - Train Accuracy: 0.943, Validation Accuracy: 0.946, Loss: 0.048
Epoch 14 Batch 241/269 - Train Accuracy: 0.939, Validation Accuracy: 0.947, Loss: 0.057
Epoch 14 Batch 242/269 - Train Accuracy: 0.943, Validation Accuracy: 0.953, Loss: 0.051
Epoch 14 Batch 243/269 - Train Accuracy: 0.943, Validation Accuracy: 0.952, Loss: 0.049
Epoch 14 Batch 244/269 - Train Accuracy: 0.940, Validation Accuracy: 0.950, Loss: 0.053
Epoch 14 Batch 245/269 - Train Accuracy: 0.942, Validation Accuracy: 0.949, Loss: 0.054
Epoch 14 Batch 246/269 - Train Accuracy: 0.941, Validation Accuracy: 0.944, Loss: 0.056
Epoch 14 Batch 247/269 - Train Accuracy: 0.940, Validation Accuracy: 0.946, Loss: 0.048
Epoch 14 Batch 248/269 - Train Accuracy: 0.947, Validation Accuracy: 0.945, Loss: 0.048
Epoch 14 Batch 249/269 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.045
Epoch 14 Batch 250/269 - Train Accuracy: 0.948, Validation Accuracy: 0.940, Loss: 0.049
Epoch 14 Batch 251/269 - Train Accuracy: 0.963, Validation Accuracy: 0.941, Loss: 0.048
Epoch 14 Batch 252/269 - Train Accuracy: 0.963, Validation Accuracy: 0.946, Loss: 0.045
Epoch 14 Batch 253/269 - Train Accuracy: 0.927, Validation Accuracy: 0.946, Loss: 0.054
Epoch 14 Batch 254/269 - Train Accuracy: 0.958, Validation Accuracy: 0.945, Loss: 0.048
Epoch 14 Batch 255/269 - Train Accuracy: 0.939, Validation Accuracy: 0.946, Loss: 0.051
Epoch 14 Batch 256/269 - Train Accuracy: 0.937, Validation Accuracy: 0.946, Loss: 0.049
Epoch 14 Batch 257/269 - Train Accuracy: 0.933, Validation Accuracy: 0.948, Loss: 0.056
Epoch 14 Batch 258/269 - Train Accuracy: 0.953, Validation Accuracy: 0.946, Loss: 0.052
Epoch 14 Batch 259/269 - Train Accuracy: 0.949, Validation Accuracy: 0.950, Loss: 0.048
Epoch 14 Batch 260/269 - Train Accuracy: 0.935, Validation Accuracy: 0.948, Loss: 0.056
Epoch 14 Batch 261/269 - Train Accuracy: 0.952, Validation Accuracy: 0.950, Loss: 0.053
Epoch 14 Batch 262/269 - Train Accuracy: 0.934, Validation Accuracy: 0.944, Loss: 0.054
Epoch 14 Batch 263/269 - Train Accuracy: 0.946, Validation Accuracy: 0.949, Loss: 0.058
Epoch 14 Batch 264/269 - Train Accuracy: 0.924, Validation Accuracy: 0.945, Loss: 0.059
Epoch 14 Batch 265/269 - Train Accuracy: 0.938, Validation Accuracy: 0.954, Loss: 0.055
Epoch 14 Batch 266/269 - Train Accuracy: 0.939, Validation Accuracy: 0.951, Loss: 0.049
Epoch 14 Batch 267/269 - Train Accuracy: 0.952, Validation Accuracy: 0.952, Loss: 0.061
Model Trained and Saved
In [17]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Save parameters for checkpoint
helper.save_params(save_path)
In [18]:
"""
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 [19]:
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
"""
return [vocab_to_int.get(word, vocab_to_int['<UNK>']) for word in sentence.lower().split()]
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_sentence_to_seq(sentence_to_seq)
Tests Passed
In [20]:
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('logits:0')
keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
translate_logits = sess.run(logits, {input_data: [translate_sentence], 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 np.argmax(translate_logits, 1)]))
print(' French Words: {}'.format([target_int_to_vocab[i] for i in np.argmax(translate_logits, 1)]))
Input
Word Ids: [111, 195, 183, 206, 126, 197, 31]
English Words: ['he', 'saw', 'a', 'old', 'yellow', 'truck', '.']
Prediction
Word Ids: [294, 258, 5, 301, 102, 252, 235, 200, 1]
French Words: ['il', 'a', 'vu', 'un', 'gros', '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.
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Content source: adukic/nd101
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