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 [44]:
"""
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 [45]:
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 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 [53]:
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)
"""
# TODO: Implement Function
# using respective dictionaries , create a tuple of lists (source_id_text, target_id_text)
source_id_text = []
tmp_list = []
sentences = source_text.split('\n')
for sentence in sentences:
for word in sentence.split():
tmp_list.append(source_vocab_to_int[word])
source_id_text.append(tmp_list)
tmp_list = []
target_id_text = []
tmp_list = []
sentences = target_text.split('\n')
#print(target_vocab_to_int['<EOS>'])
for sentence in sentences:
# Add <EOS> word id at the end of target_text.
sentence += ' <EOS>'
for word in sentence.split():
tmp_list.append(target_vocab_to_int[word])
target_id_text.append(tmp_list)
tmp_list = []
#print(target_id_text)
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 [54]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
helper.preprocess_and_save_data(source_path, target_path, text_to_ids)
In [55]:
"""
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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 [56]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
from tensorflow.python.layers.core import Dense
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.1'), 'Please use TensorFlow version 1.1 or newer'
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.1.0
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/ipykernel_launcher.py:15: UserWarning: No GPU found. Please use a GPU to train your neural network.
from ipykernel import kernelapp as app
You'll build the components necessary to build a Sequence-to-Sequence model by implementing the following functions below:
model_inputsprocess_decoder_inputencoding_layerdecoding_layer_traindecoding_layer_inferdecoding_layerseq2seq_modelImplement the model_inputs() function to create TF Placeholders for the Neural Network. It should create the following placeholders:
Return the placeholders in the following the tuple (input, targets, learning rate, keep probability, target sequence length, max target sequence length, source sequence length)
In [99]:
def model_inputs():
"""
Create TF Placeholders for input, targets, learning rate, and lengths of source and target sequences.
:return: Tuple (input, targets, learning rate, keep probability, target sequence length,
max target sequence length, source sequence length)
"""
input = tf.placeholder(tf.int32, [None, None], name='input')
targets = tf.placeholder(tf.int32, [None,None], name='targets')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
target_sequence_length = tf.placeholder(tf.int32, (None,) , name='target_sequence_length')
max_target_len = tf.reduce_max(target_sequence_length, name='max_target_len')
source_sequence_length = tf.placeholder(tf.float32, (None,), name='source_sequence_length')
return input, targets, learning_rate, keep_prob, target_sequence_length,max_target_len, source_sequence_length
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
In [100]:
def process_decoder_input(target_data, target_vocab_to_int, batch_size):
"""
Preprocess target data for encoding
:param target_data: Target Placehoder
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param batch_size: Batch Size
:return: Preprocessed target data
"""
# TODO: Implement Function
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_encoding_input(process_decoder_input)
Tests Passed
Implement encoding_layer() to create a Encoder RNN layer:
tf.contrib.layers.embed_sequencetf.contrib.rnn.LSTMCell wrapped in a tf.contrib.rnn.DropoutWrappertf.nn.dynamic_rnn()
In [101]:
from imp import reload
reload(tests)
def encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob,
source_sequence_length, source_vocab_size,
encoding_embedding_size):
"""
Create encoding layer
:param rnn_inputs: Inputs for the RNN
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param keep_prob: Dropout keep probability
:param source_sequence_length: a list of the lengths of each sequence in the batch
:param source_vocab_size: vocabulary size of source data
:param encoding_embedding_size: embedding size of source data
:return: tuple (RNN output, RNN state)
"""
# TODO: Implement Function
# Encoder embedding
enc_embed_input = tf.contrib.layers.embed_sequence(rnn_inputs, source_vocab_size, encoding_embedding_size)
# RNN cell
def make_cell(rnn_size, keep_prob):
enc_cell = tf.contrib.rnn.LSTMCell(rnn_size,
initializer=tf.random_uniform_initializer(-0.1, 0.1, seed=2))
dropout_wrapper_cell = tf.contrib.rnn.DropoutWrapper(enc_cell, output_keep_prob=keep_prob)
return dropout_wrapper_cell
enc_cell = tf.contrib.rnn.MultiRNNCell([make_cell(rnn_size,keep_prob) for _ in range(num_layers)])
enc_output, enc_state = tf.nn.dynamic_rnn(enc_cell, enc_embed_input, sequence_length=source_sequence_length, dtype=tf.float32)
return enc_output, enc_state
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_encoding_layer(encoding_layer)
Tests Passed
Create a training decoding layer:
tf.contrib.seq2seq.TrainingHelper tf.contrib.seq2seq.BasicDecodertf.contrib.seq2seq.dynamic_decode
In [105]:
def decoding_layer_train(encoder_state, dec_cell, dec_embed_input,
target_sequence_length, max_summary_length,
output_layer, keep_prob):
"""
Create a decoding layer for training
:param encoder_state: Encoder State
:param dec_cell: Decoder RNN Cell
:param dec_embed_input: Decoder embedded input
:param target_sequence_length: The lengths of each sequence in the target batch
:param max_summary_length: The length of the longest sequence in the batch
:param output_layer: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: BasicDecoderOutput containing training logits and sample_id
"""
# TODO: Implement Function
# Helper for the training process. Used by BasicDecoder to read inputs.
training_helper = tf.contrib.seq2seq.TrainingHelper(inputs=dec_embed_input,
sequence_length=target_sequence_length,
time_major=False)
# Basic decoder
training_decoder = tf.contrib.seq2seq.BasicDecoder(dec_cell,
training_helper,
encoder_state,
output_layer)
# Perform dynamic decoding using the decoder
training_decoder_output, _ = tf.contrib.seq2seq.dynamic_decode(training_decoder,
impute_finished=True,
maximum_iterations=max_summary_length)
return training_decoder_output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_train(decoding_layer_train)
Tests Passed
Create inference decoder:
tf.contrib.seq2seq.GreedyEmbeddingHelpertf.contrib.seq2seq.BasicDecodertf.contrib.seq2seq.dynamic_decode
In [106]:
def decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id,
end_of_sequence_id, max_target_sequence_length,
vocab_size, output_layer, batch_size, keep_prob):
"""
Create a decoding layer for inference
:param encoder_state: Encoder state
:param dec_cell: Decoder RNN Cell
:param dec_embeddings: Decoder embeddings
:param start_of_sequence_id: GO ID
:param end_of_sequence_id: EOS Id
:param max_target_sequence_length: Maximum length of target sequences
:param vocab_size: Size of decoder/target vocabulary
:param decoding_scope: TenorFlow Variable Scope for decoding
:param output_layer: Function to apply the output layer
:param batch_size: Batch size
:param keep_prob: Dropout keep probability
:return: BasicDecoderOutput containing inference logits and sample_id
"""
# TODO: Implement Function
start_tokens = tf.tile(tf.constant([start_of_sequence_id], dtype=tf.int32), [batch_size], name='start_tokens')
# Helper for the inference process.
inference_helper = tf.contrib.seq2seq.GreedyEmbeddingHelper(dec_embeddings,
start_tokens,
end_of_sequence_id)
# Basic decoder
inference_decoder = tf.contrib.seq2seq.BasicDecoder(dec_cell,
inference_helper,
encoder_state,
output_layer)
# Perform dynamic decoding using the decoder
inference_decoder_output, _ = tf.contrib.seq2seq.dynamic_decode(inference_decoder,
impute_finished=True,
maximum_iterations=max_target_sequence_length)
return inference_decoder_output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_infer(decoding_layer_infer)
Tests Passed
Implement decoding_layer() to create a Decoder RNN layer.
decoding_layer_train(encoder_state, dec_cell, dec_embed_input, target_sequence_length, max_target_sequence_length, output_layer, keep_prob) function to get the training logits.decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id, max_target_sequence_length, vocab_size, output_layer, batch_size, keep_prob) function to get the inference logits.Note: You'll need to use tf.variable_scope to share variables between training and inference.
In [109]:
def decoding_layer(dec_input, encoder_state,
target_sequence_length, max_target_sequence_length,
rnn_size,
num_layers, target_vocab_to_int, target_vocab_size,
batch_size, keep_prob, decoding_embedding_size):
"""
Create decoding layer
:param dec_input: Decoder input
:param encoder_state: Encoder state
:param target_sequence_length: The lengths of each sequence in the target batch
:param max_target_sequence_length: Maximum length of target sequences
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param target_vocab_size: Size of target vocabulary
:param batch_size: The size of the batch
:param keep_prob: Dropout keep probability
:param decoding_embedding_size: Decoding embedding size
:return: Tuple of (Training BasicDecoderOutput, Inference BasicDecoderOutput)
"""
# TODO: Implement Function
# 1. Decoder Embedding
dec_embeddings = tf.Variable(tf.random_uniform([target_vocab_size, decoding_embedding_size]))
dec_embed_input = tf.nn.embedding_lookup(dec_embeddings, dec_input)
# Construct the decoder lstm cell
def make_cell(rnn_size, keep_prob):
dec_cell = tf.contrib.rnn.LSTMCell(rnn_size,
initializer=tf.random_uniform_initializer(-0.1, 0.1, seed=2))
dropout_wrapper_cell = tf.contrib.rnn.DropoutWrapper(dec_cell, output_keep_prob=keep_prob)
return dropout_wrapper_cell
dec_cell = tf.contrib.rnn.MultiRNNCell([make_cell(rnn_size,keep_prob) for _ in range(num_layers)])
# 3. Dense layer to translate the decoder's output at each time
# step into a choice from the target vocabulary
# As far i know , this argmax the output corresponding to max prob
output_layer = Dense(target_vocab_size,
kernel_initializer = tf.truncated_normal_initializer(mean = 0.0, stddev=0.1))
# 4. Set up a training decoder and an inference decoder
# Training Decoder
with tf.variable_scope("decode"):
training_decoder_output = decoding_layer_train(encoder_state, dec_cell, dec_embed_input,
target_sequence_length, max_target_sequence_length, output_layer, keep_prob)
with tf.variable_scope("decode" , reuse=True):
start_of_sequence_id = target_vocab_to_int['<GO>']
end_of_sequence_id = target_vocab_to_int['<EOS>']
inference_decoder_output = decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id,
end_of_sequence_id, max_target_sequence_length,
target_vocab_size, output_layer, batch_size, keep_prob)
return training_decoder_output, inference_decoder_output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer(decoding_layer)
Tests Passed
Apply the functions you implemented above to:
encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob, source_sequence_length, source_vocab_size, encoding_embedding_size).process_decoder_input(target_data, target_vocab_to_int, batch_size) function.decoding_layer(dec_input, enc_state, target_sequence_length, max_target_sentence_length, rnn_size, num_layers, target_vocab_to_int, target_vocab_size, batch_size, keep_prob, dec_embedding_size) function.
In [117]:
def seq2seq_model(input_data, target_data, keep_prob, batch_size,
source_sequence_length, target_sequence_length,
max_target_sentence_length,
source_vocab_size, target_vocab_size,
enc_embedding_size, dec_embedding_size,
rnn_size, num_layers, target_vocab_to_int):
"""
Build the Sequence-to-Sequence part of the neural network
:param input_data: Input placeholder
:param target_data: Target placeholder
:param keep_prob: Dropout keep probability placeholder
:param batch_size: Batch Size
:param source_sequence_length: Sequence Lengths of source sequences in the batch
:param target_sequence_length: Sequence Lengths of target sequences in the batch
:param source_vocab_size: Source vocabulary size
:param target_vocab_size: Target vocabulary size
:param enc_embedding_size: Decoder embedding size
:param dec_embedding_size: Encoder embedding size
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:return: Tuple of (Training BasicDecoderOutput, Inference BasicDecoderOutput)
"""
# TODO: Implement Function
# Pass the input data through the encoder. We'll ignore the encoder output, but use the state
# , that is our lookup
enc_output, enc_state = encoding_layer(input_data,
rnn_size,
num_layers, keep_prob,
source_sequence_length,
source_vocab_size,
enc_embedding_size)
# Prepare the target sequences we'll feed to the decoder in training mode
dec_input = process_decoder_input(target_data, target_vocab_to_int, batch_size)
# Pass encoder state and decoder inputs to the decoders
training_decoder_output, inference_decoder_output = decoding_layer(dec_input, enc_state,target_sequence_length, max_target_sentence_length,
rnn_size,num_layers, target_vocab_to_int, target_vocab_size,batch_size, keep_prob, dec_embedding_size)
return training_decoder_output, inference_decoder_output
"""
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 probabilitydisplay_step to state how many steps between each debug output statement
In [122]:
# Number of Epochs
epochs = 60
# Batch Size
batch_size = 128
# RNN Size
rnn_size = 50
# Number of Layers
num_layers = 2
# Embedding Size
encoding_embedding_size = 15
decoding_embedding_size = 15
# Learning Rate
learning_rate = 0.01
# Dropout Keep Probability
keep_probability = 0.70
display_step = True
In [123]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
save_path = 'checkpoints/dev'
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
max_target_sentence_length = max([len(sentence) for sentence in source_int_text])
train_graph = tf.Graph()
with train_graph.as_default():
input_data, targets, lr, keep_prob, target_sequence_length, max_target_sequence_length, source_sequence_length = model_inputs()
#sequence_length = tf.placeholder_with_default(max_target_sentence_length, None, name='sequence_length')
input_shape = tf.shape(input_data)
train_logits, inference_logits = seq2seq_model(tf.reverse(input_data, [-1]),
targets,
keep_prob,
batch_size,
source_sequence_length,
target_sequence_length,
max_target_sequence_length,
len(source_vocab_to_int),
len(target_vocab_to_int),
encoding_embedding_size,
decoding_embedding_size,
rnn_size,
num_layers,
target_vocab_to_int)
training_logits = tf.identity(train_logits.rnn_output, name='logits')
inference_logits = tf.identity(inference_logits.sample_id, name='predictions')
masks = tf.sequence_mask(target_sequence_length, max_target_sequence_length, dtype=tf.float32, name='masks')
with tf.name_scope("optimization"):
# Loss function
cost = tf.contrib.seq2seq.sequence_loss(
training_logits,
targets,
masks)
# Optimizer
optimizer = tf.train.AdamOptimizer(lr)
# Gradient Clipping
gradients = optimizer.compute_gradients(cost)
capped_gradients = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gradients if grad is not None]
train_op = optimizer.apply_gradients(capped_gradients)
Batch and pad the source and target sequences
In [124]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
def pad_sentence_batch(sentence_batch, pad_int):
"""Pad sentences with <PAD> so that each sentence of a batch has the same length"""
max_sentence = max([len(sentence) for sentence in sentence_batch])
return [sentence + [pad_int] * (max_sentence - len(sentence)) for sentence in sentence_batch]
def get_batches(sources, targets, batch_size, source_pad_int, target_pad_int):
"""Batch targets, sources, and the lengths of their sentences together"""
for batch_i in range(0, len(sources)//batch_size):
start_i = batch_i * batch_size
# Slice the right amount for the batch
sources_batch = sources[start_i:start_i + batch_size]
targets_batch = targets[start_i:start_i + batch_size]
# Pad
pad_sources_batch = np.array(pad_sentence_batch(sources_batch, source_pad_int))
pad_targets_batch = np.array(pad_sentence_batch(targets_batch, target_pad_int))
# Need the lengths for the _lengths parameters
pad_targets_lengths = []
for target in pad_targets_batch:
pad_targets_lengths.append(len(target))
pad_source_lengths = []
for source in pad_sources_batch:
pad_source_lengths.append(len(source))
yield pad_sources_batch, pad_targets_batch, pad_source_lengths, pad_targets_lengths
In [125]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
def get_accuracy(target, logits):
"""
Calculate accuracy
"""
max_seq = max(target.shape[1], logits.shape[1])
if max_seq - target.shape[1]:
target = np.pad(
target,
[(0,0),(0,max_seq - target.shape[1])],
'constant')
if max_seq - logits.shape[1]:
logits = np.pad(
logits,
[(0,0),(0,max_seq - logits.shape[1])],
'constant')
return np.mean(np.equal(target, logits))
# Split data to training and validation sets
train_source = source_int_text[batch_size:]
train_target = target_int_text[batch_size:]
valid_source = source_int_text[:batch_size]
valid_target = target_int_text[:batch_size]
(valid_sources_batch, valid_targets_batch, valid_sources_lengths, valid_targets_lengths ) = next(get_batches(valid_source,
valid_target,
batch_size,
source_vocab_to_int['<PAD>'],
target_vocab_to_int['<PAD>']))
with tf.Session(graph=train_graph) as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epochs):
for batch_i, (source_batch, target_batch, sources_lengths, targets_lengths) in enumerate(
get_batches(train_source, train_target, batch_size,
source_vocab_to_int['<PAD>'],
target_vocab_to_int['<PAD>'])):
_, loss = sess.run(
[train_op, cost],
{input_data: source_batch,
targets: target_batch,
lr: learning_rate,
target_sequence_length: targets_lengths,
source_sequence_length: sources_lengths,
keep_prob: keep_probability})
if batch_i % display_step == 0 and batch_i > 0:
batch_train_logits = sess.run(
inference_logits,
{input_data: source_batch,
source_sequence_length: sources_lengths,
target_sequence_length: targets_lengths,
keep_prob: 1.0})
batch_valid_logits = sess.run(
inference_logits,
{input_data: valid_sources_batch,
source_sequence_length: valid_sources_lengths,
target_sequence_length: valid_targets_lengths,
keep_prob: 1.0})
train_acc = get_accuracy(target_batch, batch_train_logits)
valid_acc = get_accuracy(valid_targets_batch, batch_valid_logits)
print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.4f}, Validation Accuracy: {:>6.4f}, Loss: {:>6.4f}'
.format(epoch_i, batch_i, len(source_int_text) // batch_size, train_acc, valid_acc, loss))
# Save Model
saver = tf.train.Saver()
saver.save(sess, save_path)
print('Model Trained and Saved')
Epoch 0 Batch 1/1077 - Train Accuracy: 0.2215, Validation Accuracy: 0.3050, Loss: 5.6851
Epoch 0 Batch 2/1077 - Train Accuracy: 0.2064, Validation Accuracy: 0.3050, Loss: 5.2152
Epoch 0 Batch 3/1077 - Train Accuracy: 0.2387, Validation Accuracy: 0.3050, Loss: 4.7158
Epoch 0 Batch 4/1077 - Train Accuracy: 0.2242, Validation Accuracy: 0.3050, Loss: 4.3461
Epoch 0 Batch 5/1077 - Train Accuracy: 0.2918, Validation Accuracy: 0.3349, Loss: 3.9633
Epoch 0 Batch 6/1077 - Train Accuracy: 0.2789, Validation Accuracy: 0.3366, Loss: 3.7540
Epoch 0 Batch 7/1077 - Train Accuracy: 0.2621, Validation Accuracy: 0.3370, Loss: 3.7327
Epoch 0 Batch 8/1077 - Train Accuracy: 0.2687, Validation Accuracy: 0.3370, Loss: 3.5924
Epoch 0 Batch 9/1077 - Train Accuracy: 0.2742, Validation Accuracy: 0.3366, Loss: 3.5406
Epoch 0 Batch 10/1077 - Train Accuracy: 0.2377, Validation Accuracy: 0.3388, Loss: 3.6989
Epoch 0 Batch 11/1077 - Train Accuracy: 0.2950, Validation Accuracy: 0.3388, Loss: 3.4060
Epoch 0 Batch 12/1077 - Train Accuracy: 0.2680, Validation Accuracy: 0.3370, Loss: 3.4715
Epoch 0 Batch 13/1077 - Train Accuracy: 0.3404, Validation Accuracy: 0.3622, Loss: 3.2778
Epoch 0 Batch 14/1077 - Train Accuracy: 0.3315, Validation Accuracy: 0.3718, Loss: 3.2627
Epoch 0 Batch 15/1077 - Train Accuracy: 0.3039, Validation Accuracy: 0.3661, Loss: 3.3915
Epoch 0 Batch 16/1077 - Train Accuracy: 0.3156, Validation Accuracy: 0.3661, Loss: 3.3620
Epoch 0 Batch 17/1077 - Train Accuracy: 0.3195, Validation Accuracy: 0.3679, Loss: 3.2784
Epoch 0 Batch 18/1077 - Train Accuracy: 0.2953, Validation Accuracy: 0.3608, Loss: 3.3368
Epoch 0 Batch 19/1077 - Train Accuracy: 0.3137, Validation Accuracy: 0.3608, Loss: 3.2332
Epoch 0 Batch 20/1077 - Train Accuracy: 0.2961, Validation Accuracy: 0.3626, Loss: 3.2473
Epoch 0 Batch 21/1077 - Train Accuracy: 0.2941, Validation Accuracy: 0.3693, Loss: 3.2884
Epoch 0 Batch 22/1077 - Train Accuracy: 0.2828, Validation Accuracy: 0.3512, Loss: 3.2798
Epoch 0 Batch 23/1077 - Train Accuracy: 0.2820, Validation Accuracy: 0.3516, Loss: 3.2820
Epoch 0 Batch 24/1077 - Train Accuracy: 0.2844, Validation Accuracy: 0.3498, Loss: 3.1828
Epoch 0 Batch 25/1077 - Train Accuracy: 0.2781, Validation Accuracy: 0.3501, Loss: 3.2706
Epoch 0 Batch 26/1077 - Train Accuracy: 0.2965, Validation Accuracy: 0.3718, Loss: 3.1909
Epoch 0 Batch 27/1077 - Train Accuracy: 0.3612, Validation Accuracy: 0.3800, Loss: 2.9647
Epoch 0 Batch 28/1077 - Train Accuracy: 0.3320, Validation Accuracy: 0.3803, Loss: 3.4036
Epoch 0 Batch 29/1077 - Train Accuracy: 0.3375, Validation Accuracy: 0.3892, Loss: 3.0756
Epoch 0 Batch 30/1077 - Train Accuracy: 0.3281, Validation Accuracy: 0.3945, Loss: 3.0851
Epoch 0 Batch 31/1077 - Train Accuracy: 0.3258, Validation Accuracy: 0.3917, Loss: 3.1133
Epoch 0 Batch 32/1077 - Train Accuracy: 0.3717, Validation Accuracy: 0.3871, Loss: 2.9494
Epoch 0 Batch 33/1077 - Train Accuracy: 0.3467, Validation Accuracy: 0.3814, Loss: 2.9648
Epoch 0 Batch 34/1077 - Train Accuracy: 0.3184, Validation Accuracy: 0.3828, Loss: 3.0222
Epoch 0 Batch 35/1077 - Train Accuracy: 0.3438, Validation Accuracy: 0.4020, Loss: 3.0136
Epoch 0 Batch 36/1077 - Train Accuracy: 0.3680, Validation Accuracy: 0.4094, Loss: 2.9944
Epoch 0 Batch 37/1077 - Train Accuracy: 0.3527, Validation Accuracy: 0.4062, Loss: 3.0095
Epoch 0 Batch 38/1077 - Train Accuracy: 0.3203, Validation Accuracy: 0.4048, Loss: 3.1756
Epoch 0 Batch 39/1077 - Train Accuracy: 0.3402, Validation Accuracy: 0.3960, Loss: 3.0297
Epoch 0 Batch 40/1077 - Train Accuracy: 0.3441, Validation Accuracy: 0.4034, Loss: 2.9817
Epoch 0 Batch 41/1077 - Train Accuracy: 0.3847, Validation Accuracy: 0.4197, Loss: 2.8644
Epoch 0 Batch 42/1077 - Train Accuracy: 0.3727, Validation Accuracy: 0.4222, Loss: 2.9320
Epoch 0 Batch 43/1077 - Train Accuracy: 0.3215, Validation Accuracy: 0.4087, Loss: 2.9960
Epoch 0 Batch 44/1077 - Train Accuracy: 0.3285, Validation Accuracy: 0.4244, Loss: 3.1203
Epoch 0 Batch 45/1077 - Train Accuracy: 0.3574, Validation Accuracy: 0.4190, Loss: 2.9197
Epoch 0 Batch 46/1077 - Train Accuracy: 0.3610, Validation Accuracy: 0.4347, Loss: 3.0385
Epoch 0 Batch 47/1077 - Train Accuracy: 0.3688, Validation Accuracy: 0.4222, Loss: 2.8731
Epoch 0 Batch 48/1077 - Train Accuracy: 0.3781, Validation Accuracy: 0.4183, Loss: 2.8688
Epoch 0 Batch 49/1077 - Train Accuracy: 0.3854, Validation Accuracy: 0.4276, Loss: 2.8454
Epoch 0 Batch 50/1077 - Train Accuracy: 0.3715, Validation Accuracy: 0.4364, Loss: 2.9184
Epoch 0 Batch 51/1077 - Train Accuracy: 0.3953, Validation Accuracy: 0.4293, Loss: 2.8284
Epoch 0 Batch 52/1077 - Train Accuracy: 0.3680, Validation Accuracy: 0.4272, Loss: 2.8443
Epoch 0 Batch 53/1077 - Train Accuracy: 0.3697, Validation Accuracy: 0.4290, Loss: 2.8451
Epoch 0 Batch 54/1077 - Train Accuracy: 0.3688, Validation Accuracy: 0.4357, Loss: 2.9458
Epoch 0 Batch 55/1077 - Train Accuracy: 0.4016, Validation Accuracy: 0.4460, Loss: 2.7556
Epoch 0 Batch 56/1077 - Train Accuracy: 0.3977, Validation Accuracy: 0.4503, Loss: 2.8006
Epoch 0 Batch 57/1077 - Train Accuracy: 0.4563, Validation Accuracy: 0.4435, Loss: 2.5115
Epoch 0 Batch 58/1077 - Train Accuracy: 0.3937, Validation Accuracy: 0.4467, Loss: 2.7758
Epoch 0 Batch 59/1077 - Train Accuracy: 0.3598, Validation Accuracy: 0.4531, Loss: 2.9030
Epoch 0 Batch 60/1077 - Train Accuracy: 0.4215, Validation Accuracy: 0.4428, Loss: 2.6630
Epoch 0 Batch 61/1077 - Train Accuracy: 0.3949, Validation Accuracy: 0.4538, Loss: 2.7571
Epoch 0 Batch 62/1077 - Train Accuracy: 0.3709, Validation Accuracy: 0.4624, Loss: 2.8813
Epoch 0 Batch 63/1077 - Train Accuracy: 0.4368, Validation Accuracy: 0.4620, Loss: 2.5840
Epoch 0 Batch 64/1077 - Train Accuracy: 0.4059, Validation Accuracy: 0.4606, Loss: 2.7368
Epoch 0 Batch 65/1077 - Train Accuracy: 0.3766, Validation Accuracy: 0.4624, Loss: 2.8749
Epoch 0 Batch 66/1077 - Train Accuracy: 0.4115, Validation Accuracy: 0.4670, Loss: 2.6534
Epoch 0 Batch 67/1077 - Train Accuracy: 0.4416, Validation Accuracy: 0.4595, Loss: 2.5647
Epoch 0 Batch 68/1077 - Train Accuracy: 0.3980, Validation Accuracy: 0.4645, Loss: 2.7152
Epoch 0 Batch 69/1077 - Train Accuracy: 0.4207, Validation Accuracy: 0.4585, Loss: 2.6277
Epoch 0 Batch 70/1077 - Train Accuracy: 0.3734, Validation Accuracy: 0.4616, Loss: 2.7621
Epoch 0 Batch 71/1077 - Train Accuracy: 0.3988, Validation Accuracy: 0.4648, Loss: 2.6237
Epoch 0 Batch 72/1077 - Train Accuracy: 0.4117, Validation Accuracy: 0.4641, Loss: 2.6384
Epoch 0 Batch 73/1077 - Train Accuracy: 0.4113, Validation Accuracy: 0.4691, Loss: 2.6167
Epoch 0 Batch 74/1077 - Train Accuracy: 0.4282, Validation Accuracy: 0.4648, Loss: 2.4684
Epoch 0 Batch 75/1077 - Train Accuracy: 0.4367, Validation Accuracy: 0.4755, Loss: 2.5269
Epoch 0 Batch 76/1077 - Train Accuracy: 0.4188, Validation Accuracy: 0.4695, Loss: 2.5367
Epoch 0 Batch 77/1077 - Train Accuracy: 0.4035, Validation Accuracy: 0.4815, Loss: 2.6177
Epoch 0 Batch 78/1077 - Train Accuracy: 0.3873, Validation Accuracy: 0.4812, Loss: 2.6580
Epoch 0 Batch 79/1077 - Train Accuracy: 0.4398, Validation Accuracy: 0.4805, Loss: 2.5735
Epoch 0 Batch 80/1077 - Train Accuracy: 0.4383, Validation Accuracy: 0.4801, Loss: 2.4914
Epoch 0 Batch 81/1077 - Train Accuracy: 0.4418, Validation Accuracy: 0.4862, Loss: 2.5149
Epoch 0 Batch 82/1077 - Train Accuracy: 0.4830, Validation Accuracy: 0.4883, Loss: 2.2970
Epoch 0 Batch 83/1077 - Train Accuracy: 0.4038, Validation Accuracy: 0.4712, Loss: 2.6009
Epoch 0 Batch 84/1077 - Train Accuracy: 0.4426, Validation Accuracy: 0.4897, Loss: 2.4727
Epoch 0 Batch 85/1077 - Train Accuracy: 0.4535, Validation Accuracy: 0.4918, Loss: 2.3734
Epoch 0 Batch 86/1077 - Train Accuracy: 0.4352, Validation Accuracy: 0.4830, Loss: 2.4793
Epoch 0 Batch 87/1077 - Train Accuracy: 0.4508, Validation Accuracy: 0.4950, Loss: 2.4809
Epoch 0 Batch 88/1077 - Train Accuracy: 0.4418, Validation Accuracy: 0.4918, Loss: 2.4409
Epoch 0 Batch 89/1077 - Train Accuracy: 0.4406, Validation Accuracy: 0.4957, Loss: 2.4251
Epoch 0 Batch 90/1077 - Train Accuracy: 0.4402, Validation Accuracy: 0.5021, Loss: 2.4980
Epoch 0 Batch 91/1077 - Train Accuracy: 0.4855, Validation Accuracy: 0.4925, Loss: 2.1952
Epoch 0 Batch 92/1077 - Train Accuracy: 0.4453, Validation Accuracy: 0.4925, Loss: 2.3685
Epoch 0 Batch 93/1077 - Train Accuracy: 0.4359, Validation Accuracy: 0.4883, Loss: 2.3984
Epoch 0 Batch 94/1077 - Train Accuracy: 0.4437, Validation Accuracy: 0.4901, Loss: 2.3154
Epoch 0 Batch 95/1077 - Train Accuracy: 0.4684, Validation Accuracy: 0.4911, Loss: 2.2995
Epoch 0 Batch 96/1077 - Train Accuracy: 0.4410, Validation Accuracy: 0.5007, Loss: 2.3278
Epoch 0 Batch 97/1077 - Train Accuracy: 0.4508, Validation Accuracy: 0.4975, Loss: 2.3202
Epoch 0 Batch 98/1077 - Train Accuracy: 0.4684, Validation Accuracy: 0.4865, Loss: 2.2180
Epoch 0 Batch 99/1077 - Train Accuracy: 0.4031, Validation Accuracy: 0.4819, Loss: 2.3964
Epoch 0 Batch 100/1077 - Train Accuracy: 0.4230, Validation Accuracy: 0.4798, Loss: 2.3350
Epoch 0 Batch 101/1077 - Train Accuracy: 0.3957, Validation Accuracy: 0.4528, Loss: 2.3191
Epoch 0 Batch 102/1077 - Train Accuracy: 0.4598, Validation Accuracy: 0.4862, Loss: 2.2928
Epoch 0 Batch 103/1077 - Train Accuracy: 0.3836, Validation Accuracy: 0.4759, Loss: 2.4127
Epoch 0 Batch 104/1077 - Train Accuracy: 0.3425, Validation Accuracy: 0.4688, Loss: 2.4923
Epoch 0 Batch 105/1077 - Train Accuracy: 0.4223, Validation Accuracy: 0.4624, Loss: 2.2661
Epoch 0 Batch 106/1077 - Train Accuracy: 0.4297, Validation Accuracy: 0.4933, Loss: 2.3928
Epoch 0 Batch 107/1077 - Train Accuracy: 0.4583, Validation Accuracy: 0.4911, Loss: 2.1560
Epoch 0 Batch 108/1077 - Train Accuracy: 0.4577, Validation Accuracy: 0.4677, Loss: 2.0786
Epoch 0 Batch 109/1077 - Train Accuracy: 0.3836, Validation Accuracy: 0.4499, Loss: 2.2196
Epoch 0 Batch 110/1077 - Train Accuracy: 0.4508, Validation Accuracy: 0.4840, Loss: 2.2099
Epoch 0 Batch 111/1077 - Train Accuracy: 0.4305, Validation Accuracy: 0.4901, Loss: 2.2433
Epoch 0 Batch 112/1077 - Train Accuracy: 0.4215, Validation Accuracy: 0.4840, Loss: 2.2301
Epoch 0 Batch 113/1077 - Train Accuracy: 0.4305, Validation Accuracy: 0.4879, Loss: 2.2727
Epoch 0 Batch 114/1077 - Train Accuracy: 0.4505, Validation Accuracy: 0.4837, Loss: 2.1261
Epoch 0 Batch 115/1077 - Train Accuracy: 0.4156, Validation Accuracy: 0.4819, Loss: 2.2362
Epoch 0 Batch 116/1077 - Train Accuracy: 0.4086, Validation Accuracy: 0.4773, Loss: 2.2357
Epoch 0 Batch 117/1077 - Train Accuracy: 0.4008, Validation Accuracy: 0.4940, Loss: 2.2538
Epoch 0 Batch 118/1077 - Train Accuracy: 0.3997, Validation Accuracy: 0.4925, Loss: 2.2800
Epoch 0 Batch 119/1077 - Train Accuracy: 0.4309, Validation Accuracy: 0.4865, Loss: 2.1377
Epoch 0 Batch 120/1077 - Train Accuracy: 0.4285, Validation Accuracy: 0.4854, Loss: 2.1768
Epoch 0 Batch 121/1077 - Train Accuracy: 0.4398, Validation Accuracy: 0.4933, Loss: 2.1474
Epoch 0 Batch 122/1077 - Train Accuracy: 0.4598, Validation Accuracy: 0.5039, Loss: 2.0944
Epoch 0 Batch 123/1077 - Train Accuracy: 0.4531, Validation Accuracy: 0.4858, Loss: 2.0345
Epoch 0 Batch 124/1077 - Train Accuracy: 0.4367, Validation Accuracy: 0.4883, Loss: 2.1118
Epoch 0 Batch 125/1077 - Train Accuracy: 0.4304, Validation Accuracy: 0.4734, Loss: 2.0823
Epoch 0 Batch 126/1077 - Train Accuracy: 0.4256, Validation Accuracy: 0.4688, Loss: 2.0205
Epoch 0 Batch 127/1077 - Train Accuracy: 0.4340, Validation Accuracy: 0.4759, Loss: 2.0964
Epoch 0 Batch 128/1077 - Train Accuracy: 0.4654, Validation Accuracy: 0.4751, Loss: 1.9652
Epoch 0 Batch 129/1077 - Train Accuracy: 0.4340, Validation Accuracy: 0.4840, Loss: 2.0939
Epoch 0 Batch 130/1077 - Train Accuracy: 0.4423, Validation Accuracy: 0.4783, Loss: 1.9454
Epoch 0 Batch 131/1077 - Train Accuracy: 0.4254, Validation Accuracy: 0.4730, Loss: 2.0559
Epoch 0 Batch 132/1077 - Train Accuracy: 0.3953, Validation Accuracy: 0.4698, Loss: 2.0762
Epoch 0 Batch 133/1077 - Train Accuracy: 0.3960, Validation Accuracy: 0.4744, Loss: 2.0477
Epoch 0 Batch 134/1077 - Train Accuracy: 0.4438, Validation Accuracy: 0.4702, Loss: 1.9281
Epoch 0 Batch 135/1077 - Train Accuracy: 0.4025, Validation Accuracy: 0.4719, Loss: 2.0458
Epoch 0 Batch 136/1077 - Train Accuracy: 0.4367, Validation Accuracy: 0.4783, Loss: 1.9898
Epoch 0 Batch 137/1077 - Train Accuracy: 0.4621, Validation Accuracy: 0.4709, Loss: 1.7966
Epoch 0 Batch 138/1077 - Train Accuracy: 0.4148, Validation Accuracy: 0.4787, Loss: 1.8769
Epoch 0 Batch 139/1077 - Train Accuracy: 0.4250, Validation Accuracy: 0.4609, Loss: 1.9006
Epoch 0 Batch 140/1077 - Train Accuracy: 0.3524, Validation Accuracy: 0.4595, Loss: 2.0542
Epoch 0 Batch 141/1077 - Train Accuracy: 0.4094, Validation Accuracy: 0.4716, Loss: 1.9370
Epoch 0 Batch 142/1077 - Train Accuracy: 0.4416, Validation Accuracy: 0.4755, Loss: 1.7766
Epoch 0 Batch 143/1077 - Train Accuracy: 0.4066, Validation Accuracy: 0.4538, Loss: 1.8345
Epoch 0 Batch 144/1077 - Train Accuracy: 0.3721, Validation Accuracy: 0.4567, Loss: 1.9627
Epoch 0 Batch 145/1077 - Train Accuracy: 0.4074, Validation Accuracy: 0.4396, Loss: 1.7818
Epoch 0 Batch 146/1077 - Train Accuracy: 0.4103, Validation Accuracy: 0.4386, Loss: 1.8199
Epoch 0 Batch 147/1077 - Train Accuracy: 0.3688, Validation Accuracy: 0.4343, Loss: 1.8123
Epoch 0 Batch 148/1077 - Train Accuracy: 0.4023, Validation Accuracy: 0.4428, Loss: 1.8266
Epoch 0 Batch 149/1077 - Train Accuracy: 0.4020, Validation Accuracy: 0.4581, Loss: 1.8487
Epoch 0 Batch 150/1077 - Train Accuracy: 0.4252, Validation Accuracy: 0.4513, Loss: 1.7092
Epoch 0 Batch 151/1077 - Train Accuracy: 0.4126, Validation Accuracy: 0.4450, Loss: 1.7159
Epoch 0 Batch 152/1077 - Train Accuracy: 0.4004, Validation Accuracy: 0.4485, Loss: 1.7661
Epoch 0 Batch 153/1077 - Train Accuracy: 0.3691, Validation Accuracy: 0.4375, Loss: 1.8388
Epoch 0 Batch 154/1077 - Train Accuracy: 0.3438, Validation Accuracy: 0.4293, Loss: 1.8136
Epoch 0 Batch 155/1077 - Train Accuracy: 0.3734, Validation Accuracy: 0.4371, Loss: 1.7138
Epoch 0 Batch 156/1077 - Train Accuracy: 0.3711, Validation Accuracy: 0.4407, Loss: 1.6832
Epoch 0 Batch 157/1077 - Train Accuracy: 0.3965, Validation Accuracy: 0.4432, Loss: 1.6925
Epoch 0 Batch 158/1077 - Train Accuracy: 0.4353, Validation Accuracy: 0.4478, Loss: 1.6741
Epoch 0 Batch 159/1077 - Train Accuracy: 0.4089, Validation Accuracy: 0.4460, Loss: 1.5841
Epoch 0 Batch 160/1077 - Train Accuracy: 0.3852, Validation Accuracy: 0.4457, Loss: 1.6080
Epoch 0 Batch 161/1077 - Train Accuracy: 0.3797, Validation Accuracy: 0.4251, Loss: 1.6567
Epoch 0 Batch 162/1077 - Train Accuracy: 0.3746, Validation Accuracy: 0.4354, Loss: 1.6399
Epoch 0 Batch 163/1077 - Train Accuracy: 0.3610, Validation Accuracy: 0.4396, Loss: 1.6686
Epoch 0 Batch 164/1077 - Train Accuracy: 0.3734, Validation Accuracy: 0.4386, Loss: 1.6514
Epoch 0 Batch 165/1077 - Train Accuracy: 0.3563, Validation Accuracy: 0.4393, Loss: 1.5887
Epoch 0 Batch 166/1077 - Train Accuracy: 0.4172, Validation Accuracy: 0.4354, Loss: 1.5424
Epoch 0 Batch 167/1077 - Train Accuracy: 0.3496, Validation Accuracy: 0.4283, Loss: 1.6242
Epoch 0 Batch 168/1077 - Train Accuracy: 0.3680, Validation Accuracy: 0.4361, Loss: 1.6325
Epoch 0 Batch 169/1077 - Train Accuracy: 0.4271, Validation Accuracy: 0.4428, Loss: 1.4987
Epoch 0 Batch 170/1077 - Train Accuracy: 0.3781, Validation Accuracy: 0.4513, Loss: 1.5808
Epoch 0 Batch 171/1077 - Train Accuracy: 0.4379, Validation Accuracy: 0.4471, Loss: 1.4422
Epoch 0 Batch 172/1077 - Train Accuracy: 0.4122, Validation Accuracy: 0.4517, Loss: 1.4490
Epoch 0 Batch 173/1077 - Train Accuracy: 0.3577, Validation Accuracy: 0.4439, Loss: 1.6311
Epoch 0 Batch 174/1077 - Train Accuracy: 0.3953, Validation Accuracy: 0.4421, Loss: 1.4748
Epoch 0 Batch 175/1077 - Train Accuracy: 0.4113, Validation Accuracy: 0.4506, Loss: 1.4347
Epoch 0 Batch 176/1077 - Train Accuracy: 0.3559, Validation Accuracy: 0.4407, Loss: 1.4607
Epoch 0 Batch 177/1077 - Train Accuracy: 0.4001, Validation Accuracy: 0.4705, Loss: 1.5603
Epoch 0 Batch 178/1077 - Train Accuracy: 0.4102, Validation Accuracy: 0.4389, Loss: 1.4294
Epoch 0 Batch 179/1077 - Train Accuracy: 0.3869, Validation Accuracy: 0.4414, Loss: 1.5256
Epoch 0 Batch 180/1077 - Train Accuracy: 0.3941, Validation Accuracy: 0.4446, Loss: 1.4239
Epoch 0 Batch 181/1077 - Train Accuracy: 0.4102, Validation Accuracy: 0.4545, Loss: 1.4550
Epoch 0 Batch 182/1077 - Train Accuracy: 0.4219, Validation Accuracy: 0.4638, Loss: 1.4076
Epoch 0 Batch 183/1077 - Train Accuracy: 0.4094, Validation Accuracy: 0.4773, Loss: 1.4671
Epoch 0 Batch 184/1077 - Train Accuracy: 0.4270, Validation Accuracy: 0.4741, Loss: 1.3981
Epoch 0 Batch 185/1077 - Train Accuracy: 0.3988, Validation Accuracy: 0.4695, Loss: 1.3942
Epoch 0 Batch 186/1077 - Train Accuracy: 0.4276, Validation Accuracy: 0.4755, Loss: 1.4452
Epoch 0 Batch 187/1077 - Train Accuracy: 0.3645, Validation Accuracy: 0.4499, Loss: 1.3858
Epoch 0 Batch 188/1077 - Train Accuracy: 0.3941, Validation Accuracy: 0.4659, Loss: 1.3690
Epoch 0 Batch 189/1077 - Train Accuracy: 0.3949, Validation Accuracy: 0.4702, Loss: 1.3969
Epoch 0 Batch 190/1077 - Train Accuracy: 0.4133, Validation Accuracy: 0.4776, Loss: 1.3855
Epoch 0 Batch 191/1077 - Train Accuracy: 0.4492, Validation Accuracy: 0.4666, Loss: 1.2489
Epoch 0 Batch 192/1077 - Train Accuracy: 0.4539, Validation Accuracy: 0.4702, Loss: 1.4050
Epoch 0 Batch 193/1077 - Train Accuracy: 0.4285, Validation Accuracy: 0.4688, Loss: 1.3066
Epoch 0 Batch 194/1077 - Train Accuracy: 0.4728, Validation Accuracy: 0.4730, Loss: 1.2634
Epoch 0 Batch 195/1077 - Train Accuracy: 0.3992, Validation Accuracy: 0.4744, Loss: 1.3434
Epoch 0 Batch 196/1077 - Train Accuracy: 0.3926, Validation Accuracy: 0.4574, Loss: 1.3005
Epoch 0 Batch 197/1077 - Train Accuracy: 0.4398, Validation Accuracy: 0.4492, Loss: 1.2915
Epoch 0 Batch 198/1077 - Train Accuracy: 0.4271, Validation Accuracy: 0.4680, Loss: 1.2362
Epoch 0 Batch 199/1077 - Train Accuracy: 0.4262, Validation Accuracy: 0.4769, Loss: 1.3343
Epoch 0 Batch 200/1077 - Train Accuracy: 0.3992, Validation Accuracy: 0.4790, Loss: 1.3260
Epoch 0 Batch 201/1077 - Train Accuracy: 0.4391, Validation Accuracy: 0.4744, Loss: 1.2162
Epoch 0 Batch 202/1077 - Train Accuracy: 0.4887, Validation Accuracy: 0.4979, Loss: 1.2914
Epoch 0 Batch 203/1077 - Train Accuracy: 0.4543, Validation Accuracy: 0.4936, Loss: 1.2719
Epoch 0 Batch 204/1077 - Train Accuracy: 0.4453, Validation Accuracy: 0.4989, Loss: 1.2988
Epoch 0 Batch 205/1077 - Train Accuracy: 0.4605, Validation Accuracy: 0.4911, Loss: 1.3298
Epoch 0 Batch 206/1077 - Train Accuracy: 0.4203, Validation Accuracy: 0.4794, Loss: 1.2857
Epoch 0 Batch 207/1077 - Train Accuracy: 0.4113, Validation Accuracy: 0.4801, Loss: 1.3067
Epoch 0 Batch 208/1077 - Train Accuracy: 0.4669, Validation Accuracy: 0.4940, Loss: 1.2469
Epoch 0 Batch 209/1077 - Train Accuracy: 0.4725, Validation Accuracy: 0.4968, Loss: 1.1582
Epoch 0 Batch 210/1077 - Train Accuracy: 0.4565, Validation Accuracy: 0.4961, Loss: 1.2848
Epoch 0 Batch 211/1077 - Train Accuracy: 0.3867, Validation Accuracy: 0.4659, Loss: 1.2452
Epoch 0 Batch 212/1077 - Train Accuracy: 0.4669, Validation Accuracy: 0.4794, Loss: 1.1794
Epoch 0 Batch 213/1077 - Train Accuracy: 0.4574, Validation Accuracy: 0.4790, Loss: 1.1913
Epoch 0 Batch 214/1077 - Train Accuracy: 0.4348, Validation Accuracy: 0.4830, Loss: 1.2402
Epoch 0 Batch 215/1077 - Train Accuracy: 0.3926, Validation Accuracy: 0.4755, Loss: 1.2492
Epoch 0 Batch 216/1077 - Train Accuracy: 0.4617, Validation Accuracy: 0.5170, Loss: 1.2637
Epoch 0 Batch 217/1077 - Train Accuracy: 0.4660, Validation Accuracy: 0.5021, Loss: 1.1745
Epoch 0 Batch 218/1077 - Train Accuracy: 0.4400, Validation Accuracy: 0.4883, Loss: 1.3426
Epoch 0 Batch 219/1077 - Train Accuracy: 0.4848, Validation Accuracy: 0.4911, Loss: 1.2233
Epoch 0 Batch 220/1077 - Train Accuracy: 0.4042, Validation Accuracy: 0.4883, Loss: 1.2383
Epoch 0 Batch 221/1077 - Train Accuracy: 0.4301, Validation Accuracy: 0.5043, Loss: 1.2577
Epoch 0 Batch 222/1077 - Train Accuracy: 0.4109, Validation Accuracy: 0.4865, Loss: 1.2762
Epoch 0 Batch 223/1077 - Train Accuracy: 0.4632, Validation Accuracy: 0.4819, Loss: 1.1259
Epoch 0 Batch 224/1077 - Train Accuracy: 0.4125, Validation Accuracy: 0.4869, Loss: 1.2261
Epoch 0 Batch 225/1077 - Train Accuracy: 0.4109, Validation Accuracy: 0.4901, Loss: 1.2291
Epoch 0 Batch 226/1077 - Train Accuracy: 0.4203, Validation Accuracy: 0.4670, Loss: 1.1828
Epoch 0 Batch 227/1077 - Train Accuracy: 0.4352, Validation Accuracy: 0.4734, Loss: 1.2391
Epoch 0 Batch 228/1077 - Train Accuracy: 0.4770, Validation Accuracy: 0.5046, Loss: 1.1669
Epoch 0 Batch 229/1077 - Train Accuracy: 0.4531, Validation Accuracy: 0.4776, Loss: 1.1770
Epoch 0 Batch 230/1077 - Train Accuracy: 0.4498, Validation Accuracy: 0.4766, Loss: 1.1105
Epoch 0 Batch 231/1077 - Train Accuracy: 0.4508, Validation Accuracy: 0.4833, Loss: 1.1736
Epoch 0 Batch 232/1077 - Train Accuracy: 0.4375, Validation Accuracy: 0.4869, Loss: 1.2069
Epoch 0 Batch 233/1077 - Train Accuracy: 0.4371, Validation Accuracy: 0.4876, Loss: 1.2445
Epoch 0 Batch 234/1077 - Train Accuracy: 0.4397, Validation Accuracy: 0.4755, Loss: 1.1499
Epoch 0 Batch 235/1077 - Train Accuracy: 0.4747, Validation Accuracy: 0.4748, Loss: 1.0830
Epoch 0 Batch 236/1077 - Train Accuracy: 0.4461, Validation Accuracy: 0.4783, Loss: 1.1900
Epoch 0 Batch 237/1077 - Train Accuracy: 0.4680, Validation Accuracy: 0.4822, Loss: 1.0853
Epoch 0 Batch 238/1077 - Train Accuracy: 0.4520, Validation Accuracy: 0.4844, Loss: 1.1949
Epoch 0 Batch 239/1077 - Train Accuracy: 0.4520, Validation Accuracy: 0.4851, Loss: 1.0657
Epoch 0 Batch 240/1077 - Train Accuracy: 0.4477, Validation Accuracy: 0.5007, Loss: 1.1362
Epoch 0 Batch 241/1077 - Train Accuracy: 0.4906, Validation Accuracy: 0.5249, Loss: 1.0807
Epoch 0 Batch 242/1077 - Train Accuracy: 0.4496, Validation Accuracy: 0.4925, Loss: 1.1327
Epoch 0 Batch 243/1077 - Train Accuracy: 0.3934, Validation Accuracy: 0.4918, Loss: 1.1600
Epoch 0 Batch 244/1077 - Train Accuracy: 0.4759, Validation Accuracy: 0.4925, Loss: 1.0921
Epoch 0 Batch 245/1077 - Train Accuracy: 0.4576, Validation Accuracy: 0.5107, Loss: 1.0810
Epoch 0 Batch 246/1077 - Train Accuracy: 0.4387, Validation Accuracy: 0.5124, Loss: 1.1093
Epoch 0 Batch 247/1077 - Train Accuracy: 0.4680, Validation Accuracy: 0.5128, Loss: 1.0527
Epoch 0 Batch 248/1077 - Train Accuracy: 0.4898, Validation Accuracy: 0.5181, Loss: 1.1153
Epoch 0 Batch 249/1077 - Train Accuracy: 0.4945, Validation Accuracy: 0.5277, Loss: 1.1040
Epoch 0 Batch 250/1077 - Train Accuracy: 0.4663, Validation Accuracy: 0.5103, Loss: 1.0299
Epoch 0 Batch 251/1077 - Train Accuracy: 0.4427, Validation Accuracy: 0.4989, Loss: 1.0946
Epoch 0 Batch 252/1077 - Train Accuracy: 0.4781, Validation Accuracy: 0.4947, Loss: 1.0891
Epoch 0 Batch 253/1077 - Train Accuracy: 0.5121, Validation Accuracy: 0.4968, Loss: 1.0641
Epoch 0 Batch 254/1077 - Train Accuracy: 0.4605, Validation Accuracy: 0.4982, Loss: 1.1380
Epoch 0 Batch 255/1077 - Train Accuracy: 0.4660, Validation Accuracy: 0.5025, Loss: 1.1332
Epoch 0 Batch 256/1077 - Train Accuracy: 0.4344, Validation Accuracy: 0.5078, Loss: 1.1371
Epoch 0 Batch 257/1077 - Train Accuracy: 0.5156, Validation Accuracy: 0.5309, Loss: 1.0757
Epoch 0 Batch 258/1077 - Train Accuracy: 0.4788, Validation Accuracy: 0.5124, Loss: 1.0433
Epoch 0 Batch 259/1077 - Train Accuracy: 0.4285, Validation Accuracy: 0.5053, Loss: 1.0954
Epoch 0 Batch 260/1077 - Train Accuracy: 0.4639, Validation Accuracy: 0.5138, Loss: 1.0436
Epoch 0 Batch 261/1077 - Train Accuracy: 0.4967, Validation Accuracy: 0.5174, Loss: 1.0608
Epoch 0 Batch 262/1077 - Train Accuracy: 0.4703, Validation Accuracy: 0.4979, Loss: 1.0810
Epoch 0 Batch 263/1077 - Train Accuracy: 0.4746, Validation Accuracy: 0.4936, Loss: 1.0473
Epoch 0 Batch 264/1077 - Train Accuracy: 0.4219, Validation Accuracy: 0.4954, Loss: 1.0901
Epoch 0 Batch 265/1077 - Train Accuracy: 0.4422, Validation Accuracy: 0.4893, Loss: 1.0615
Epoch 0 Batch 266/1077 - Train Accuracy: 0.4472, Validation Accuracy: 0.4936, Loss: 1.0120
Epoch 0 Batch 267/1077 - Train Accuracy: 0.4595, Validation Accuracy: 0.4950, Loss: 0.9994
Epoch 0 Batch 268/1077 - Train Accuracy: 0.4551, Validation Accuracy: 0.5146, Loss: 1.0674
Epoch 0 Batch 269/1077 - Train Accuracy: 0.4498, Validation Accuracy: 0.5192, Loss: 1.1735
Epoch 0 Batch 270/1077 - Train Accuracy: 0.4426, Validation Accuracy: 0.5220, Loss: 1.1235
Epoch 0 Batch 271/1077 - Train Accuracy: 0.4633, Validation Accuracy: 0.5160, Loss: 1.0653
Epoch 0 Batch 272/1077 - Train Accuracy: 0.4937, Validation Accuracy: 0.5320, Loss: 1.0849
Epoch 0 Batch 273/1077 - Train Accuracy: 0.4981, Validation Accuracy: 0.5249, Loss: 1.0391
Epoch 0 Batch 274/1077 - Train Accuracy: 0.4688, Validation Accuracy: 0.5110, Loss: 1.0331
Epoch 0 Batch 275/1077 - Train Accuracy: 0.4680, Validation Accuracy: 0.5128, Loss: 1.0008
Epoch 0 Batch 276/1077 - Train Accuracy: 0.4570, Validation Accuracy: 0.5309, Loss: 1.1117
Epoch 0 Batch 277/1077 - Train Accuracy: 0.5115, Validation Accuracy: 0.5327, Loss: 0.9927
Epoch 0 Batch 278/1077 - Train Accuracy: 0.4773, Validation Accuracy: 0.5302, Loss: 1.1025
Epoch 0 Batch 279/1077 - Train Accuracy: 0.4609, Validation Accuracy: 0.5369, Loss: 1.1396
Epoch 0 Batch 280/1077 - Train Accuracy: 0.4785, Validation Accuracy: 0.5224, Loss: 1.0777
Epoch 0 Batch 281/1077 - Train Accuracy: 0.4551, Validation Accuracy: 0.5103, Loss: 1.0934
Epoch 0 Batch 282/1077 - Train Accuracy: 0.4191, Validation Accuracy: 0.5103, Loss: 1.1023
Epoch 0 Batch 283/1077 - Train Accuracy: 0.4742, Validation Accuracy: 0.5082, Loss: 1.0769
Epoch 0 Batch 284/1077 - Train Accuracy: 0.4379, Validation Accuracy: 0.5053, Loss: 1.1034
Epoch 0 Batch 285/1077 - Train Accuracy: 0.4952, Validation Accuracy: 0.5160, Loss: 0.9754
Epoch 0 Batch 286/1077 - Train Accuracy: 0.5041, Validation Accuracy: 0.5259, Loss: 0.9660
Epoch 0 Batch 287/1077 - Train Accuracy: 0.5090, Validation Accuracy: 0.5238, Loss: 0.9940
Epoch 0 Batch 288/1077 - Train Accuracy: 0.4559, Validation Accuracy: 0.5330, Loss: 1.0557
Epoch 0 Batch 289/1077 - Train Accuracy: 0.5289, Validation Accuracy: 0.5600, Loss: 1.0011
Epoch 0 Batch 290/1077 - Train Accuracy: 0.4871, Validation Accuracy: 0.5337, Loss: 1.0645
Epoch 0 Batch 291/1077 - Train Accuracy: 0.4874, Validation Accuracy: 0.5185, Loss: 1.0405
Epoch 0 Batch 292/1077 - Train Accuracy: 0.5022, Validation Accuracy: 0.5238, Loss: 0.9951
Epoch 0 Batch 293/1077 - Train Accuracy: 0.4250, Validation Accuracy: 0.5288, Loss: 1.0743
Epoch 0 Batch 294/1077 - Train Accuracy: 0.5149, Validation Accuracy: 0.5195, Loss: 0.9372
Epoch 0 Batch 295/1077 - Train Accuracy: 0.4581, Validation Accuracy: 0.5199, Loss: 1.0819
Epoch 0 Batch 296/1077 - Train Accuracy: 0.4922, Validation Accuracy: 0.5202, Loss: 0.9659
Epoch 0 Batch 297/1077 - Train Accuracy: 0.4418, Validation Accuracy: 0.5213, Loss: 1.0630
Epoch 0 Batch 298/1077 - Train Accuracy: 0.4754, Validation Accuracy: 0.5210, Loss: 1.0633
Epoch 0 Batch 299/1077 - Train Accuracy: 0.4949, Validation Accuracy: 0.5352, Loss: 0.9757
Epoch 0 Batch 300/1077 - Train Accuracy: 0.4646, Validation Accuracy: 0.5206, Loss: 1.0512
Epoch 0 Batch 301/1077 - Train Accuracy: 0.4910, Validation Accuracy: 0.5327, Loss: 1.0044
Epoch 0 Batch 302/1077 - Train Accuracy: 0.5316, Validation Accuracy: 0.5373, Loss: 0.9780
Epoch 0 Batch 303/1077 - Train Accuracy: 0.4598, Validation Accuracy: 0.5288, Loss: 1.0372
Epoch 0 Batch 304/1077 - Train Accuracy: 0.4911, Validation Accuracy: 0.5366, Loss: 0.9393
Epoch 0 Batch 305/1077 - Train Accuracy: 0.5004, Validation Accuracy: 0.5146, Loss: 0.9891
Epoch 0 Batch 306/1077 - Train Accuracy: 0.4754, Validation Accuracy: 0.5160, Loss: 0.9666
Epoch 0 Batch 307/1077 - Train Accuracy: 0.4769, Validation Accuracy: 0.5238, Loss: 0.9900
Epoch 0 Batch 308/1077 - Train Accuracy: 0.4852, Validation Accuracy: 0.5366, Loss: 1.0688
Epoch 0 Batch 309/1077 - Train Accuracy: 0.5086, Validation Accuracy: 0.5384, Loss: 0.9329
Epoch 0 Batch 310/1077 - Train Accuracy: 0.4637, Validation Accuracy: 0.5394, Loss: 0.9851
Epoch 0 Batch 311/1077 - Train Accuracy: 0.5294, Validation Accuracy: 0.5391, Loss: 0.9479
Epoch 0 Batch 312/1077 - Train Accuracy: 0.4859, Validation Accuracy: 0.5312, Loss: 1.0190
Epoch 0 Batch 313/1077 - Train Accuracy: 0.5051, Validation Accuracy: 0.5458, Loss: 0.9789
Epoch 0 Batch 314/1077 - Train Accuracy: 0.5203, Validation Accuracy: 0.5529, Loss: 0.9663
Epoch 0 Batch 315/1077 - Train Accuracy: 0.5074, Validation Accuracy: 0.5561, Loss: 0.9235
Epoch 0 Batch 316/1077 - Train Accuracy: 0.5078, Validation Accuracy: 0.5540, Loss: 0.9064
Epoch 0 Batch 317/1077 - Train Accuracy: 0.4766, Validation Accuracy: 0.5444, Loss: 1.0546
Epoch 0 Batch 318/1077 - Train Accuracy: 0.4695, Validation Accuracy: 0.5458, Loss: 0.9732
Epoch 0 Batch 319/1077 - Train Accuracy: 0.4836, Validation Accuracy: 0.5295, Loss: 0.9740
Epoch 0 Batch 320/1077 - Train Accuracy: 0.5086, Validation Accuracy: 0.5344, Loss: 0.9884
Epoch 0 Batch 321/1077 - Train Accuracy: 0.5074, Validation Accuracy: 0.5536, Loss: 0.9618
Epoch 0 Batch 322/1077 - Train Accuracy: 0.5134, Validation Accuracy: 0.5462, Loss: 0.9228
Epoch 0 Batch 323/1077 - Train Accuracy: 0.5008, Validation Accuracy: 0.5273, Loss: 0.9457
Epoch 0 Batch 324/1077 - Train Accuracy: 0.4723, Validation Accuracy: 0.5334, Loss: 0.9491
Epoch 0 Batch 325/1077 - Train Accuracy: 0.5253, Validation Accuracy: 0.5305, Loss: 0.9266
Epoch 0 Batch 326/1077 - Train Accuracy: 0.5126, Validation Accuracy: 0.5341, Loss: 0.9150
Epoch 0 Batch 327/1077 - Train Accuracy: 0.4883, Validation Accuracy: 0.5295, Loss: 0.9963
Epoch 0 Batch 328/1077 - Train Accuracy: 0.5060, Validation Accuracy: 0.5291, Loss: 0.9715
Epoch 0 Batch 329/1077 - Train Accuracy: 0.4891, Validation Accuracy: 0.5305, Loss: 1.0024
Epoch 0 Batch 330/1077 - Train Accuracy: 0.5020, Validation Accuracy: 0.5245, Loss: 0.9482
Epoch 0 Batch 331/1077 - Train Accuracy: 0.4971, Validation Accuracy: 0.5231, Loss: 0.9729
Epoch 0 Batch 332/1077 - Train Accuracy: 0.4903, Validation Accuracy: 0.5277, Loss: 0.8759
Epoch 0 Batch 333/1077 - Train Accuracy: 0.4626, Validation Accuracy: 0.5266, Loss: 0.9719
Epoch 0 Batch 334/1077 - Train Accuracy: 0.4832, Validation Accuracy: 0.5309, Loss: 0.9364
Epoch 0 Batch 335/1077 - Train Accuracy: 0.5830, Validation Accuracy: 0.5533, Loss: 0.8775
Epoch 0 Batch 336/1077 - Train Accuracy: 0.5199, Validation Accuracy: 0.5451, Loss: 0.9663
Epoch 0 Batch 337/1077 - Train Accuracy: 0.4805, Validation Accuracy: 0.5359, Loss: 0.9645
Epoch 0 Batch 338/1077 - Train Accuracy: 0.5500, Validation Accuracy: 0.5483, Loss: 0.9571
Epoch 0 Batch 339/1077 - Train Accuracy: 0.5410, Validation Accuracy: 0.5589, Loss: 0.9063
Epoch 0 Batch 340/1077 - Train Accuracy: 0.4823, Validation Accuracy: 0.5618, Loss: 0.9578
Epoch 0 Batch 341/1077 - Train Accuracy: 0.5078, Validation Accuracy: 0.5582, Loss: 0.9582
Epoch 0 Batch 342/1077 - Train Accuracy: 0.5108, Validation Accuracy: 0.5579, Loss: 0.8902
Epoch 0 Batch 343/1077 - Train Accuracy: 0.4887, Validation Accuracy: 0.5249, Loss: 0.9300
Epoch 0 Batch 344/1077 - Train Accuracy: 0.4770, Validation Accuracy: 0.5206, Loss: 0.9377
Epoch 0 Batch 345/1077 - Train Accuracy: 0.5007, Validation Accuracy: 0.5163, Loss: 0.8852
Epoch 0 Batch 346/1077 - Train Accuracy: 0.4797, Validation Accuracy: 0.5149, Loss: 0.9447
Epoch 0 Batch 347/1077 - Train Accuracy: 0.5033, Validation Accuracy: 0.5110, Loss: 0.9084
Epoch 0 Batch 348/1077 - Train Accuracy: 0.5037, Validation Accuracy: 0.5053, Loss: 0.8671
Epoch 0 Batch 349/1077 - Train Accuracy: 0.4609, Validation Accuracy: 0.5153, Loss: 0.9381
Epoch 0 Batch 350/1077 - Train Accuracy: 0.4699, Validation Accuracy: 0.5320, Loss: 0.9618
Epoch 0 Batch 351/1077 - Train Accuracy: 0.4679, Validation Accuracy: 0.5362, Loss: 0.9789
Epoch 0 Batch 352/1077 - Train Accuracy: 0.4293, Validation Accuracy: 0.5327, Loss: 0.9477
Epoch 0 Batch 353/1077 - Train Accuracy: 0.4733, Validation Accuracy: 0.5337, Loss: 0.9958
Epoch 0 Batch 354/1077 - Train Accuracy: 0.4941, Validation Accuracy: 0.5504, Loss: 0.9391
Epoch 0 Batch 355/1077 - Train Accuracy: 0.5130, Validation Accuracy: 0.5536, Loss: 0.9114
Epoch 0 Batch 356/1077 - Train Accuracy: 0.5066, Validation Accuracy: 0.5618, Loss: 0.9345
Epoch 0 Batch 357/1077 - Train Accuracy: 0.5655, Validation Accuracy: 0.5607, Loss: 0.8633
Epoch 0 Batch 358/1077 - Train Accuracy: 0.4926, Validation Accuracy: 0.5593, Loss: 0.9590
Epoch 0 Batch 359/1077 - Train Accuracy: 0.5246, Validation Accuracy: 0.5515, Loss: 0.9127
Epoch 0 Batch 360/1077 - Train Accuracy: 0.5219, Validation Accuracy: 0.5444, Loss: 0.9100
Epoch 0 Batch 361/1077 - Train Accuracy: 0.5374, Validation Accuracy: 0.5419, Loss: 0.9311
Epoch 0 Batch 362/1077 - Train Accuracy: 0.5372, Validation Accuracy: 0.5618, Loss: 0.9378
Epoch 0 Batch 363/1077 - Train Accuracy: 0.4695, Validation Accuracy: 0.5547, Loss: 0.9318
Epoch 0 Batch 364/1077 - Train Accuracy: 0.5164, Validation Accuracy: 0.5490, Loss: 0.9338
Epoch 0 Batch 365/1077 - Train Accuracy: 0.4813, Validation Accuracy: 0.5444, Loss: 0.9100
Epoch 0 Batch 366/1077 - Train Accuracy: 0.4871, Validation Accuracy: 0.5330, Loss: 0.9014
Epoch 0 Batch 367/1077 - Train Accuracy: 0.4836, Validation Accuracy: 0.5270, Loss: 0.8224
Epoch 0 Batch 368/1077 - Train Accuracy: 0.4680, Validation Accuracy: 0.5046, Loss: 0.9007
Epoch 0 Batch 369/1077 - Train Accuracy: 0.4926, Validation Accuracy: 0.5089, Loss: 0.8786
Epoch 0 Batch 370/1077 - Train Accuracy: 0.4892, Validation Accuracy: 0.5188, Loss: 0.8669
Epoch 0 Batch 371/1077 - Train Accuracy: 0.4961, Validation Accuracy: 0.5231, Loss: 0.8851
Epoch 0 Batch 372/1077 - Train Accuracy: 0.4703, Validation Accuracy: 0.5366, Loss: 0.8714
Epoch 0 Batch 373/1077 - Train Accuracy: 0.5476, Validation Accuracy: 0.5565, Loss: 0.8185
Epoch 0 Batch 374/1077 - Train Accuracy: 0.4750, Validation Accuracy: 0.5565, Loss: 0.9645
Epoch 0 Batch 375/1077 - Train Accuracy: 0.5916, Validation Accuracy: 0.5607, Loss: 0.8335
Epoch 0 Batch 376/1077 - Train Accuracy: 0.5430, Validation Accuracy: 0.5582, Loss: 0.8565
Epoch 0 Batch 377/1077 - Train Accuracy: 0.5375, Validation Accuracy: 0.5582, Loss: 0.8974
Epoch 0 Batch 378/1077 - Train Accuracy: 0.4941, Validation Accuracy: 0.5579, Loss: 0.8542
Epoch 0 Batch 379/1077 - Train Accuracy: 0.5203, Validation Accuracy: 0.5593, Loss: 0.9050
Epoch 0 Batch 380/1077 - Train Accuracy: 0.5305, Validation Accuracy: 0.5597, Loss: 0.8728
Epoch 0 Batch 381/1077 - Train Accuracy: 0.5082, Validation Accuracy: 0.5803, Loss: 0.9163
Epoch 0 Batch 382/1077 - Train Accuracy: 0.5402, Validation Accuracy: 0.5852, Loss: 0.9313
Epoch 0 Batch 383/1077 - Train Accuracy: 0.5625, Validation Accuracy: 0.5746, Loss: 0.8329
Epoch 0 Batch 384/1077 - Train Accuracy: 0.5535, Validation Accuracy: 0.5728, Loss: 0.8784
Epoch 0 Batch 385/1077 - Train Accuracy: 0.5570, Validation Accuracy: 0.5678, Loss: 0.8930
Epoch 0 Batch 386/1077 - Train Accuracy: 0.5365, Validation Accuracy: 0.5700, Loss: 0.8613
Epoch 0 Batch 387/1077 - Train Accuracy: 0.5539, Validation Accuracy: 0.5700, Loss: 0.8595
Epoch 0 Batch 388/1077 - Train Accuracy: 0.5599, Validation Accuracy: 0.5849, Loss: 0.8332
Epoch 0 Batch 389/1077 - Train Accuracy: 0.5625, Validation Accuracy: 0.5817, Loss: 0.8729
Epoch 0 Batch 390/1077 - Train Accuracy: 0.4961, Validation Accuracy: 0.5788, Loss: 0.9019
Epoch 0 Batch 391/1077 - Train Accuracy: 0.5562, Validation Accuracy: 0.5724, Loss: 0.8347
Epoch 0 Batch 392/1077 - Train Accuracy: 0.4914, Validation Accuracy: 0.5753, Loss: 0.8544
Epoch 0 Batch 393/1077 - Train Accuracy: 0.5551, Validation Accuracy: 0.5717, Loss: 0.8133
Epoch 0 Batch 394/1077 - Train Accuracy: 0.5145, Validation Accuracy: 0.5852, Loss: 0.8842
Epoch 0 Batch 395/1077 - Train Accuracy: 0.5554, Validation Accuracy: 0.5859, Loss: 0.8270
Epoch 0 Batch 396/1077 - Train Accuracy: 0.5406, Validation Accuracy: 0.5898, Loss: 0.9007
Epoch 0 Batch 397/1077 - Train Accuracy: 0.5844, Validation Accuracy: 0.5813, Loss: 0.8368
Epoch 0 Batch 398/1077 - Train Accuracy: 0.5411, Validation Accuracy: 0.5714, Loss: 0.9121
Epoch 0 Batch 399/1077 - Train Accuracy: 0.4975, Validation Accuracy: 0.5675, Loss: 0.9416
Epoch 0 Batch 400/1077 - Train Accuracy: 0.5367, Validation Accuracy: 0.5558, Loss: 0.8505
Epoch 0 Batch 401/1077 - Train Accuracy: 0.5246, Validation Accuracy: 0.5465, Loss: 0.8741
Epoch 0 Batch 402/1077 - Train Accuracy: 0.5312, Validation Accuracy: 0.5440, Loss: 0.8258
Epoch 0 Batch 403/1077 - Train Accuracy: 0.5031, Validation Accuracy: 0.5572, Loss: 0.8890
Epoch 0 Batch 404/1077 - Train Accuracy: 0.5755, Validation Accuracy: 0.5689, Loss: 0.8039
Epoch 0 Batch 405/1077 - Train Accuracy: 0.4988, Validation Accuracy: 0.5728, Loss: 0.9103
Epoch 0 Batch 406/1077 - Train Accuracy: 0.5752, Validation Accuracy: 0.5845, Loss: 0.8398
Epoch 0 Batch 407/1077 - Train Accuracy: 0.5148, Validation Accuracy: 0.5696, Loss: 0.9195
Epoch 0 Batch 408/1077 - Train Accuracy: 0.5500, Validation Accuracy: 0.5632, Loss: 0.8522
Epoch 0 Batch 409/1077 - Train Accuracy: 0.5055, Validation Accuracy: 0.5547, Loss: 0.8642
Epoch 0 Batch 410/1077 - Train Accuracy: 0.4959, Validation Accuracy: 0.5646, Loss: 0.8806
Epoch 0 Batch 411/1077 - Train Accuracy: 0.5495, Validation Accuracy: 0.5671, Loss: 0.8253
Epoch 0 Batch 412/1077 - Train Accuracy: 0.5496, Validation Accuracy: 0.5700, Loss: 0.8333
Epoch 0 Batch 413/1077 - Train Accuracy: 0.5543, Validation Accuracy: 0.5700, Loss: 0.8482
Epoch 0 Batch 414/1077 - Train Accuracy: 0.5219, Validation Accuracy: 0.5696, Loss: 0.8890
Epoch 0 Batch 415/1077 - Train Accuracy: 0.5238, Validation Accuracy: 0.5714, Loss: 0.8204
Epoch 0 Batch 416/1077 - Train Accuracy: 0.5473, Validation Accuracy: 0.5746, Loss: 0.8515
Epoch 0 Batch 417/1077 - Train Accuracy: 0.5496, Validation Accuracy: 0.5756, Loss: 0.8883
Epoch 0 Batch 418/1077 - Train Accuracy: 0.5250, Validation Accuracy: 0.5724, Loss: 0.8346
Epoch 0 Batch 419/1077 - Train Accuracy: 0.5227, Validation Accuracy: 0.5710, Loss: 0.8731
Epoch 0 Batch 420/1077 - Train Accuracy: 0.5105, Validation Accuracy: 0.5817, Loss: 0.8373
Epoch 0 Batch 421/1077 - Train Accuracy: 0.5219, Validation Accuracy: 0.5692, Loss: 0.8867
Epoch 0 Batch 422/1077 - Train Accuracy: 0.5182, Validation Accuracy: 0.5661, Loss: 0.8087
Epoch 0 Batch 423/1077 - Train Accuracy: 0.5488, Validation Accuracy: 0.5636, Loss: 0.8556
Epoch 0 Batch 424/1077 - Train Accuracy: 0.4875, Validation Accuracy: 0.5646, Loss: 0.8605
Epoch 0 Batch 425/1077 - Train Accuracy: 0.5673, Validation Accuracy: 0.5629, Loss: 0.8140
Epoch 0 Batch 426/1077 - Train Accuracy: 0.5375, Validation Accuracy: 0.5646, Loss: 0.8659
Epoch 0 Batch 427/1077 - Train Accuracy: 0.5171, Validation Accuracy: 0.5742, Loss: 0.8352
Epoch 0 Batch 428/1077 - Train Accuracy: 0.5815, Validation Accuracy: 0.5774, Loss: 0.8124
Epoch 0 Batch 429/1077 - Train Accuracy: 0.5566, Validation Accuracy: 0.5756, Loss: 0.8189
Epoch 0 Batch 430/1077 - Train Accuracy: 0.5328, Validation Accuracy: 0.5792, Loss: 0.8468
Epoch 0 Batch 431/1077 - Train Accuracy: 0.4992, Validation Accuracy: 0.5824, Loss: 0.8316
Epoch 0 Batch 432/1077 - Train Accuracy: 0.5652, Validation Accuracy: 0.5838, Loss: 0.8602
Epoch 0 Batch 433/1077 - Train Accuracy: 0.5180, Validation Accuracy: 0.5721, Loss: 0.8483
Epoch 0 Batch 434/1077 - Train Accuracy: 0.5250, Validation Accuracy: 0.5717, Loss: 0.8356
Epoch 0 Batch 435/1077 - Train Accuracy: 0.5148, Validation Accuracy: 0.5714, Loss: 0.8907
Epoch 0 Batch 436/1077 - Train Accuracy: 0.5588, Validation Accuracy: 0.5717, Loss: 0.7979
Epoch 0 Batch 437/1077 - Train Accuracy: 0.4945, Validation Accuracy: 0.5625, Loss: 0.8398
Epoch 0 Batch 438/1077 - Train Accuracy: 0.5070, Validation Accuracy: 0.5373, Loss: 0.8173
Epoch 0 Batch 439/1077 - Train Accuracy: 0.5355, Validation Accuracy: 0.5636, Loss: 0.8561
Epoch 0 Batch 440/1077 - Train Accuracy: 0.5437, Validation Accuracy: 0.5739, Loss: 0.8515
Epoch 0 Batch 441/1077 - Train Accuracy: 0.5137, Validation Accuracy: 0.5781, Loss: 0.8226
Epoch 0 Batch 442/1077 - Train Accuracy: 0.5391, Validation Accuracy: 0.5799, Loss: 0.7992
Epoch 0 Batch 443/1077 - Train Accuracy: 0.5640, Validation Accuracy: 0.5877, Loss: 0.8016
Epoch 0 Batch 444/1077 - Train Accuracy: 0.5297, Validation Accuracy: 0.5632, Loss: 0.8368
Epoch 0 Batch 445/1077 - Train Accuracy: 0.4971, Validation Accuracy: 0.5554, Loss: 0.8730
Epoch 0 Batch 446/1077 - Train Accuracy: 0.5208, Validation Accuracy: 0.5472, Loss: 0.7540
Epoch 0 Batch 447/1077 - Train Accuracy: 0.5332, Validation Accuracy: 0.5444, Loss: 0.8336
Epoch 0 Batch 448/1077 - Train Accuracy: 0.5133, Validation Accuracy: 0.5430, Loss: 0.8552
Epoch 0 Batch 449/1077 - Train Accuracy: 0.5156, Validation Accuracy: 0.5518, Loss: 0.8485
Epoch 0 Batch 450/1077 - Train Accuracy: 0.5234, Validation Accuracy: 0.5604, Loss: 0.8237
Epoch 0 Batch 451/1077 - Train Accuracy: 0.5108, Validation Accuracy: 0.5565, Loss: 0.8127
Epoch 0 Batch 452/1077 - Train Accuracy: 0.5539, Validation Accuracy: 0.5543, Loss: 0.8077
Epoch 0 Batch 453/1077 - Train Accuracy: 0.5376, Validation Accuracy: 0.5550, Loss: 0.7783
Epoch 0 Batch 454/1077 - Train Accuracy: 0.5531, Validation Accuracy: 0.5543, Loss: 0.8009
Epoch 0 Batch 455/1077 - Train Accuracy: 0.5465, Validation Accuracy: 0.5526, Loss: 0.7745
Epoch 0 Batch 456/1077 - Train Accuracy: 0.5445, Validation Accuracy: 0.5494, Loss: 0.8179
Epoch 0 Batch 457/1077 - Train Accuracy: 0.5246, Validation Accuracy: 0.5501, Loss: 0.7719
Epoch 0 Batch 458/1077 - Train Accuracy: 0.4953, Validation Accuracy: 0.5433, Loss: 0.8100
Epoch 0 Batch 459/1077 - Train Accuracy: 0.5458, Validation Accuracy: 0.5447, Loss: 0.7811
Epoch 0 Batch 460/1077 - Train Accuracy: 0.5367, Validation Accuracy: 0.5639, Loss: 0.8350
Epoch 0 Batch 461/1077 - Train Accuracy: 0.5410, Validation Accuracy: 0.5685, Loss: 0.8219
Epoch 0 Batch 462/1077 - Train Accuracy: 0.5266, Validation Accuracy: 0.5721, Loss: 0.8081
Epoch 0 Batch 463/1077 - Train Accuracy: 0.5062, Validation Accuracy: 0.5657, Loss: 0.8265
Epoch 0 Batch 464/1077 - Train Accuracy: 0.5777, Validation Accuracy: 0.5604, Loss: 0.7774
Epoch 0 Batch 465/1077 - Train Accuracy: 0.5374, Validation Accuracy: 0.5661, Loss: 0.8542
Epoch 0 Batch 466/1077 - Train Accuracy: 0.5395, Validation Accuracy: 0.5728, Loss: 0.7852
Epoch 0 Batch 467/1077 - Train Accuracy: 0.6101, Validation Accuracy: 0.5760, Loss: 0.7848
Epoch 0 Batch 468/1077 - Train Accuracy: 0.5510, Validation Accuracy: 0.5703, Loss: 0.8133
Epoch 0 Batch 469/1077 - Train Accuracy: 0.5160, Validation Accuracy: 0.5600, Loss: 0.8078
Epoch 0 Batch 470/1077 - Train Accuracy: 0.5008, Validation Accuracy: 0.5607, Loss: 0.8339
Epoch 0 Batch 471/1077 - Train Accuracy: 0.5445, Validation Accuracy: 0.5540, Loss: 0.7794
Epoch 0 Batch 472/1077 - Train Accuracy: 0.5346, Validation Accuracy: 0.5700, Loss: 0.7866
Epoch 0 Batch 473/1077 - Train Accuracy: 0.5430, Validation Accuracy: 0.5810, Loss: 0.8117
Epoch 0 Batch 474/1077 - Train Accuracy: 0.5504, Validation Accuracy: 0.5895, Loss: 0.8135
Epoch 0 Batch 475/1077 - Train Accuracy: 0.5734, Validation Accuracy: 0.5877, Loss: 0.7738
Epoch 0 Batch 476/1077 - Train Accuracy: 0.5362, Validation Accuracy: 0.5859, Loss: 0.7899
Epoch 0 Batch 477/1077 - Train Accuracy: 0.6068, Validation Accuracy: 0.5913, Loss: 0.7599
Epoch 0 Batch 478/1077 - Train Accuracy: 0.5584, Validation Accuracy: 0.5920, Loss: 0.8357
Epoch 0 Batch 479/1077 - Train Accuracy: 0.5520, Validation Accuracy: 0.5877, Loss: 0.8292
Epoch 0 Batch 480/1077 - Train Accuracy: 0.5559, Validation Accuracy: 0.5760, Loss: 0.8106
Epoch 0 Batch 481/1077 - Train Accuracy: 0.5336, Validation Accuracy: 0.5728, Loss: 0.7985
Epoch 0 Batch 482/1077 - Train Accuracy: 0.5345, Validation Accuracy: 0.5703, Loss: 0.8702
Epoch 0 Batch 483/1077 - Train Accuracy: 0.5211, Validation Accuracy: 0.5732, Loss: 0.7853
Epoch 0 Batch 484/1077 - Train Accuracy: 0.5691, Validation Accuracy: 0.5817, Loss: 0.7838
Epoch 0 Batch 485/1077 - Train Accuracy: 0.5957, Validation Accuracy: 0.5863, Loss: 0.7822
Epoch 0 Batch 486/1077 - Train Accuracy: 0.5432, Validation Accuracy: 0.5732, Loss: 0.8151
Epoch 0 Batch 487/1077 - Train Accuracy: 0.5428, Validation Accuracy: 0.5707, Loss: 0.8313
Epoch 0 Batch 488/1077 - Train Accuracy: 0.5378, Validation Accuracy: 0.5696, Loss: 0.8122
Epoch 0 Batch 489/1077 - Train Accuracy: 0.5551, Validation Accuracy: 0.5696, Loss: 0.7614
Epoch 0 Batch 490/1077 - Train Accuracy: 0.5219, Validation Accuracy: 0.5703, Loss: 0.8097
Epoch 0 Batch 491/1077 - Train Accuracy: 0.5430, Validation Accuracy: 0.5664, Loss: 0.7830
Epoch 0 Batch 492/1077 - Train Accuracy: 0.5238, Validation Accuracy: 0.5785, Loss: 0.8144
Epoch 0 Batch 493/1077 - Train Accuracy: 0.5636, Validation Accuracy: 0.5728, Loss: 0.7463
Epoch 0 Batch 494/1077 - Train Accuracy: 0.5508, Validation Accuracy: 0.5810, Loss: 0.7565
Epoch 0 Batch 495/1077 - Train Accuracy: 0.5355, Validation Accuracy: 0.5774, Loss: 0.7701
Epoch 0 Batch 496/1077 - Train Accuracy: 0.5340, Validation Accuracy: 0.5849, Loss: 0.8058
Epoch 0 Batch 497/1077 - Train Accuracy: 0.5206, Validation Accuracy: 0.5842, Loss: 0.8449
Epoch 0 Batch 498/1077 - Train Accuracy: 0.5770, Validation Accuracy: 0.5845, Loss: 0.7757
Epoch 0 Batch 499/1077 - Train Accuracy: 0.5599, Validation Accuracy: 0.5788, Loss: 0.7325
Epoch 0 Batch 500/1077 - Train Accuracy: 0.5746, Validation Accuracy: 0.5842, Loss: 0.7785
Epoch 0 Batch 501/1077 - Train Accuracy: 0.5469, Validation Accuracy: 0.5913, Loss: 0.7735
Epoch 0 Batch 502/1077 - Train Accuracy: 0.5531, Validation Accuracy: 0.5927, Loss: 0.7782
Epoch 0 Batch 503/1077 - Train Accuracy: 0.5836, Validation Accuracy: 0.5934, Loss: 0.7756
Epoch 0 Batch 504/1077 - Train Accuracy: 0.5504, Validation Accuracy: 0.5934, Loss: 0.7921
Epoch 0 Batch 505/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.5856, Loss: 0.7113
Epoch 0 Batch 506/1077 - Train Accuracy: 0.5500, Validation Accuracy: 0.5891, Loss: 0.7806
Epoch 0 Batch 507/1077 - Train Accuracy: 0.5590, Validation Accuracy: 0.5881, Loss: 0.7679
Epoch 0 Batch 508/1077 - Train Accuracy: 0.5685, Validation Accuracy: 0.5810, Loss: 0.7363
Epoch 0 Batch 509/1077 - Train Accuracy: 0.5785, Validation Accuracy: 0.5788, Loss: 0.7864
Epoch 0 Batch 510/1077 - Train Accuracy: 0.5895, Validation Accuracy: 0.5721, Loss: 0.7730
Epoch 0 Batch 511/1077 - Train Accuracy: 0.5522, Validation Accuracy: 0.5732, Loss: 0.7799
Epoch 0 Batch 512/1077 - Train Accuracy: 0.5391, Validation Accuracy: 0.5845, Loss: 0.7678
Epoch 0 Batch 513/1077 - Train Accuracy: 0.5809, Validation Accuracy: 0.5916, Loss: 0.7845
Epoch 0 Batch 514/1077 - Train Accuracy: 0.5391, Validation Accuracy: 0.5895, Loss: 0.8022
Epoch 0 Batch 515/1077 - Train Accuracy: 0.5609, Validation Accuracy: 0.5866, Loss: 0.8037
Epoch 0 Batch 516/1077 - Train Accuracy: 0.6001, Validation Accuracy: 0.5898, Loss: 0.7378
Epoch 0 Batch 517/1077 - Train Accuracy: 0.6202, Validation Accuracy: 0.5916, Loss: 0.7450
Epoch 0 Batch 518/1077 - Train Accuracy: 0.5984, Validation Accuracy: 0.5898, Loss: 0.7630
Epoch 0 Batch 519/1077 - Train Accuracy: 0.5680, Validation Accuracy: 0.5898, Loss: 0.7871
Epoch 0 Batch 520/1077 - Train Accuracy: 0.5897, Validation Accuracy: 0.5920, Loss: 0.7413
Epoch 0 Batch 521/1077 - Train Accuracy: 0.5800, Validation Accuracy: 0.5927, Loss: 0.7529
Epoch 0 Batch 522/1077 - Train Accuracy: 0.5340, Validation Accuracy: 0.5973, Loss: 0.8091
Epoch 0 Batch 523/1077 - Train Accuracy: 0.5539, Validation Accuracy: 0.5927, Loss: 0.7754
Epoch 0 Batch 524/1077 - Train Accuracy: 0.5590, Validation Accuracy: 0.5994, Loss: 0.7949
Epoch 0 Batch 525/1077 - Train Accuracy: 0.5828, Validation Accuracy: 0.5948, Loss: 0.7738
Epoch 0 Batch 526/1077 - Train Accuracy: 0.5547, Validation Accuracy: 0.6001, Loss: 0.7627
Epoch 0 Batch 527/1077 - Train Accuracy: 0.5370, Validation Accuracy: 0.6033, Loss: 0.8057
Epoch 0 Batch 528/1077 - Train Accuracy: 0.5680, Validation Accuracy: 0.6058, Loss: 0.7529
Epoch 0 Batch 529/1077 - Train Accuracy: 0.5504, Validation Accuracy: 0.5888, Loss: 0.7441
Epoch 0 Batch 530/1077 - Train Accuracy: 0.5590, Validation Accuracy: 0.5877, Loss: 0.7845
Epoch 0 Batch 531/1077 - Train Accuracy: 0.5641, Validation Accuracy: 0.5895, Loss: 0.7564
Epoch 0 Batch 532/1077 - Train Accuracy: 0.5246, Validation Accuracy: 0.5898, Loss: 0.8126
Epoch 0 Batch 533/1077 - Train Accuracy: 0.5941, Validation Accuracy: 0.5866, Loss: 0.7863
Epoch 0 Batch 534/1077 - Train Accuracy: 0.6060, Validation Accuracy: 0.5948, Loss: 0.7370
Epoch 0 Batch 535/1077 - Train Accuracy: 0.5664, Validation Accuracy: 0.5916, Loss: 0.7657
Epoch 0 Batch 536/1077 - Train Accuracy: 0.5785, Validation Accuracy: 0.5803, Loss: 0.7283
Epoch 0 Batch 537/1077 - Train Accuracy: 0.5340, Validation Accuracy: 0.5881, Loss: 0.7727
Epoch 0 Batch 538/1077 - Train Accuracy: 0.6019, Validation Accuracy: 0.5891, Loss: 0.6974
Epoch 0 Batch 539/1077 - Train Accuracy: 0.5863, Validation Accuracy: 0.5998, Loss: 0.7910
Epoch 0 Batch 540/1077 - Train Accuracy: 0.5605, Validation Accuracy: 0.6012, Loss: 0.7354
Epoch 0 Batch 541/1077 - Train Accuracy: 0.5738, Validation Accuracy: 0.5969, Loss: 0.7828
Epoch 0 Batch 542/1077 - Train Accuracy: 0.5785, Validation Accuracy: 0.5991, Loss: 0.7453
Epoch 0 Batch 543/1077 - Train Accuracy: 0.5582, Validation Accuracy: 0.5945, Loss: 0.7786
Epoch 0 Batch 544/1077 - Train Accuracy: 0.6078, Validation Accuracy: 0.5955, Loss: 0.7529
Epoch 0 Batch 545/1077 - Train Accuracy: 0.5699, Validation Accuracy: 0.5909, Loss: 0.8084
Epoch 0 Batch 546/1077 - Train Accuracy: 0.5188, Validation Accuracy: 0.5788, Loss: 0.8047
Epoch 0 Batch 547/1077 - Train Accuracy: 0.5613, Validation Accuracy: 0.5785, Loss: 0.7729
Epoch 0 Batch 548/1077 - Train Accuracy: 0.5590, Validation Accuracy: 0.5969, Loss: 0.7615
Epoch 0 Batch 549/1077 - Train Accuracy: 0.5469, Validation Accuracy: 0.6012, Loss: 0.8331
Epoch 0 Batch 550/1077 - Train Accuracy: 0.5523, Validation Accuracy: 0.6016, Loss: 0.7997
Epoch 0 Batch 551/1077 - Train Accuracy: 0.5617, Validation Accuracy: 0.6009, Loss: 0.7941
Epoch 0 Batch 552/1077 - Train Accuracy: 0.5785, Validation Accuracy: 0.6044, Loss: 0.7717
Epoch 0 Batch 553/1077 - Train Accuracy: 0.5918, Validation Accuracy: 0.5952, Loss: 0.7579
Epoch 0 Batch 554/1077 - Train Accuracy: 0.5910, Validation Accuracy: 0.6072, Loss: 0.7690
Epoch 0 Batch 555/1077 - Train Accuracy: 0.5895, Validation Accuracy: 0.6065, Loss: 0.7552
Epoch 0 Batch 556/1077 - Train Accuracy: 0.5797, Validation Accuracy: 0.5994, Loss: 0.7360
Epoch 0 Batch 557/1077 - Train Accuracy: 0.5820, Validation Accuracy: 0.6023, Loss: 0.7636
Epoch 0 Batch 558/1077 - Train Accuracy: 0.5867, Validation Accuracy: 0.6026, Loss: 0.7432
Epoch 0 Batch 559/1077 - Train Accuracy: 0.6289, Validation Accuracy: 0.6062, Loss: 0.7315
Epoch 0 Batch 560/1077 - Train Accuracy: 0.5844, Validation Accuracy: 0.6016, Loss: 0.7457
Epoch 0 Batch 561/1077 - Train Accuracy: 0.6053, Validation Accuracy: 0.5913, Loss: 0.7405
Epoch 0 Batch 562/1077 - Train Accuracy: 0.6432, Validation Accuracy: 0.5856, Loss: 0.7076
Epoch 0 Batch 563/1077 - Train Accuracy: 0.5715, Validation Accuracy: 0.5938, Loss: 0.7707
Epoch 0 Batch 564/1077 - Train Accuracy: 0.5822, Validation Accuracy: 0.5906, Loss: 0.7875
Epoch 0 Batch 565/1077 - Train Accuracy: 0.6042, Validation Accuracy: 0.5895, Loss: 0.7492
Epoch 0 Batch 566/1077 - Train Accuracy: 0.5855, Validation Accuracy: 0.5909, Loss: 0.7624
Epoch 0 Batch 567/1077 - Train Accuracy: 0.5738, Validation Accuracy: 0.5714, Loss: 0.7599
Epoch 0 Batch 568/1077 - Train Accuracy: 0.5863, Validation Accuracy: 0.5653, Loss: 0.7283
Epoch 0 Batch 569/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.5639, Loss: 0.7459
Epoch 0 Batch 570/1077 - Train Accuracy: 0.5543, Validation Accuracy: 0.5721, Loss: 0.7919
Epoch 0 Batch 571/1077 - Train Accuracy: 0.6198, Validation Accuracy: 0.5838, Loss: 0.6974
Epoch 0 Batch 572/1077 - Train Accuracy: 0.5990, Validation Accuracy: 0.5980, Loss: 0.7082
Epoch 0 Batch 573/1077 - Train Accuracy: 0.5793, Validation Accuracy: 0.6016, Loss: 0.7527
Epoch 0 Batch 574/1077 - Train Accuracy: 0.5539, Validation Accuracy: 0.6019, Loss: 0.7606
Epoch 0 Batch 575/1077 - Train Accuracy: 0.5964, Validation Accuracy: 0.5977, Loss: 0.7489
Epoch 0 Batch 576/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.6040, Loss: 0.7769
Epoch 0 Batch 577/1077 - Train Accuracy: 0.5530, Validation Accuracy: 0.6012, Loss: 0.7913
Epoch 0 Batch 578/1077 - Train Accuracy: 0.5387, Validation Accuracy: 0.5927, Loss: 0.7529
Epoch 0 Batch 579/1077 - Train Accuracy: 0.6023, Validation Accuracy: 0.5955, Loss: 0.7073
Epoch 0 Batch 580/1077 - Train Accuracy: 0.6213, Validation Accuracy: 0.6005, Loss: 0.6884
Epoch 0 Batch 581/1077 - Train Accuracy: 0.5750, Validation Accuracy: 0.6044, Loss: 0.7215
Epoch 0 Batch 582/1077 - Train Accuracy: 0.5633, Validation Accuracy: 0.6040, Loss: 0.7369
Epoch 0 Batch 583/1077 - Train Accuracy: 0.5576, Validation Accuracy: 0.6062, Loss: 0.7712
Epoch 0 Batch 584/1077 - Train Accuracy: 0.6045, Validation Accuracy: 0.6065, Loss: 0.7425
Epoch 0 Batch 585/1077 - Train Accuracy: 0.6157, Validation Accuracy: 0.6055, Loss: 0.6834
Epoch 0 Batch 586/1077 - Train Accuracy: 0.5584, Validation Accuracy: 0.6033, Loss: 0.7730
Epoch 0 Batch 587/1077 - Train Accuracy: 0.5804, Validation Accuracy: 0.6044, Loss: 0.7069
Epoch 0 Batch 588/1077 - Train Accuracy: 0.5828, Validation Accuracy: 0.5739, Loss: 0.7358
Epoch 0 Batch 589/1077 - Train Accuracy: 0.5440, Validation Accuracy: 0.5763, Loss: 0.7733
Epoch 0 Batch 590/1077 - Train Accuracy: 0.5699, Validation Accuracy: 0.5756, Loss: 0.7751
Epoch 0 Batch 591/1077 - Train Accuracy: 0.5849, Validation Accuracy: 0.5817, Loss: 0.6825
Epoch 0 Batch 592/1077 - Train Accuracy: 0.6023, Validation Accuracy: 0.5952, Loss: 0.7406
Epoch 0 Batch 593/1077 - Train Accuracy: 0.5911, Validation Accuracy: 0.6016, Loss: 0.7060
Epoch 0 Batch 594/1077 - Train Accuracy: 0.5898, Validation Accuracy: 0.6033, Loss: 0.7518
Epoch 0 Batch 595/1077 - Train Accuracy: 0.5781, Validation Accuracy: 0.6044, Loss: 0.7609
Epoch 0 Batch 596/1077 - Train Accuracy: 0.5863, Validation Accuracy: 0.6044, Loss: 0.7425
Epoch 0 Batch 597/1077 - Train Accuracy: 0.5730, Validation Accuracy: 0.6055, Loss: 0.7460
Epoch 0 Batch 598/1077 - Train Accuracy: 0.6012, Validation Accuracy: 0.6062, Loss: 0.7208
Epoch 0 Batch 599/1077 - Train Accuracy: 0.5625, Validation Accuracy: 0.6012, Loss: 0.7778
Epoch 0 Batch 600/1077 - Train Accuracy: 0.6131, Validation Accuracy: 0.5980, Loss: 0.6865
Epoch 0 Batch 601/1077 - Train Accuracy: 0.6120, Validation Accuracy: 0.6048, Loss: 0.7234
Epoch 0 Batch 602/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6033, Loss: 0.7326
Epoch 0 Batch 603/1077 - Train Accuracy: 0.6071, Validation Accuracy: 0.5973, Loss: 0.7218
Epoch 0 Batch 604/1077 - Train Accuracy: 0.5789, Validation Accuracy: 0.5969, Loss: 0.7732
Epoch 0 Batch 605/1077 - Train Accuracy: 0.6040, Validation Accuracy: 0.5991, Loss: 0.8028
Epoch 0 Batch 606/1077 - Train Accuracy: 0.6202, Validation Accuracy: 0.6044, Loss: 0.6854
Epoch 0 Batch 607/1077 - Train Accuracy: 0.6587, Validation Accuracy: 0.6055, Loss: 0.6871
Epoch 0 Batch 608/1077 - Train Accuracy: 0.5859, Validation Accuracy: 0.6115, Loss: 0.7581
Epoch 0 Batch 609/1077 - Train Accuracy: 0.5934, Validation Accuracy: 0.6087, Loss: 0.7220
Epoch 0 Batch 610/1077 - Train Accuracy: 0.5703, Validation Accuracy: 0.6055, Loss: 0.7579
Epoch 0 Batch 611/1077 - Train Accuracy: 0.5633, Validation Accuracy: 0.6090, Loss: 0.7342
Epoch 0 Batch 612/1077 - Train Accuracy: 0.6127, Validation Accuracy: 0.6076, Loss: 0.6841
Epoch 0 Batch 613/1077 - Train Accuracy: 0.5773, Validation Accuracy: 0.6062, Loss: 0.7485
Epoch 0 Batch 614/1077 - Train Accuracy: 0.6209, Validation Accuracy: 0.6048, Loss: 0.6899
Epoch 0 Batch 615/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.5991, Loss: 0.7075
Epoch 0 Batch 616/1077 - Train Accuracy: 0.5580, Validation Accuracy: 0.6076, Loss: 0.7725
Epoch 0 Batch 617/1077 - Train Accuracy: 0.6068, Validation Accuracy: 0.6115, Loss: 0.7156
Epoch 0 Batch 618/1077 - Train Accuracy: 0.6055, Validation Accuracy: 0.6040, Loss: 0.7070
Epoch 0 Batch 619/1077 - Train Accuracy: 0.5518, Validation Accuracy: 0.6001, Loss: 0.7589
Epoch 0 Batch 620/1077 - Train Accuracy: 0.5660, Validation Accuracy: 0.5941, Loss: 0.7211
Epoch 0 Batch 621/1077 - Train Accuracy: 0.5742, Validation Accuracy: 0.5952, Loss: 0.6974
Epoch 0 Batch 622/1077 - Train Accuracy: 0.5683, Validation Accuracy: 0.5962, Loss: 0.7701
Epoch 0 Batch 623/1077 - Train Accuracy: 0.5711, Validation Accuracy: 0.5948, Loss: 0.7275
Epoch 0 Batch 624/1077 - Train Accuracy: 0.6224, Validation Accuracy: 0.5909, Loss: 0.6764
Epoch 0 Batch 625/1077 - Train Accuracy: 0.6242, Validation Accuracy: 0.6062, Loss: 0.7264
Epoch 0 Batch 626/1077 - Train Accuracy: 0.6410, Validation Accuracy: 0.6058, Loss: 0.6518
Epoch 0 Batch 627/1077 - Train Accuracy: 0.5973, Validation Accuracy: 0.6119, Loss: 0.7242
Epoch 0 Batch 628/1077 - Train Accuracy: 0.5793, Validation Accuracy: 0.6087, Loss: 0.7509
Epoch 0 Batch 629/1077 - Train Accuracy: 0.5789, Validation Accuracy: 0.6097, Loss: 0.7484
Epoch 0 Batch 630/1077 - Train Accuracy: 0.5930, Validation Accuracy: 0.6090, Loss: 0.7254
Epoch 0 Batch 631/1077 - Train Accuracy: 0.5818, Validation Accuracy: 0.6112, Loss: 0.7026
Epoch 0 Batch 632/1077 - Train Accuracy: 0.5879, Validation Accuracy: 0.6080, Loss: 0.7286
Epoch 0 Batch 633/1077 - Train Accuracy: 0.6004, Validation Accuracy: 0.6044, Loss: 0.7229
Epoch 0 Batch 634/1077 - Train Accuracy: 0.5893, Validation Accuracy: 0.6143, Loss: 0.6861
Epoch 0 Batch 635/1077 - Train Accuracy: 0.5724, Validation Accuracy: 0.6136, Loss: 0.7684
Epoch 0 Batch 636/1077 - Train Accuracy: 0.6320, Validation Accuracy: 0.6104, Loss: 0.6872
Epoch 0 Batch 637/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6065, Loss: 0.7341
Epoch 0 Batch 638/1077 - Train Accuracy: 0.5711, Validation Accuracy: 0.6055, Loss: 0.6982
Epoch 0 Batch 639/1077 - Train Accuracy: 0.6340, Validation Accuracy: 0.6119, Loss: 0.7302
Epoch 0 Batch 640/1077 - Train Accuracy: 0.5707, Validation Accuracy: 0.6097, Loss: 0.6915
Epoch 0 Batch 641/1077 - Train Accuracy: 0.5820, Validation Accuracy: 0.6051, Loss: 0.7091
Epoch 0 Batch 642/1077 - Train Accuracy: 0.6142, Validation Accuracy: 0.6012, Loss: 0.7120
Epoch 0 Batch 643/1077 - Train Accuracy: 0.5867, Validation Accuracy: 0.6097, Loss: 0.6908
Epoch 0 Batch 644/1077 - Train Accuracy: 0.5926, Validation Accuracy: 0.6108, Loss: 0.7055
Epoch 0 Batch 645/1077 - Train Accuracy: 0.6164, Validation Accuracy: 0.6133, Loss: 0.6859
Epoch 0 Batch 646/1077 - Train Accuracy: 0.6068, Validation Accuracy: 0.6151, Loss: 0.6967
Epoch 0 Batch 647/1077 - Train Accuracy: 0.6051, Validation Accuracy: 0.6119, Loss: 0.7132
Epoch 0 Batch 648/1077 - Train Accuracy: 0.6023, Validation Accuracy: 0.6104, Loss: 0.6787
Epoch 0 Batch 649/1077 - Train Accuracy: 0.5730, Validation Accuracy: 0.6108, Loss: 0.7432
Epoch 0 Batch 650/1077 - Train Accuracy: 0.5875, Validation Accuracy: 0.6051, Loss: 0.7268
Epoch 0 Batch 651/1077 - Train Accuracy: 0.5978, Validation Accuracy: 0.6058, Loss: 0.6861
Epoch 0 Batch 652/1077 - Train Accuracy: 0.5761, Validation Accuracy: 0.6048, Loss: 0.7689
Epoch 0 Batch 653/1077 - Train Accuracy: 0.5902, Validation Accuracy: 0.6051, Loss: 0.6998
Epoch 0 Batch 654/1077 - Train Accuracy: 0.5680, Validation Accuracy: 0.6019, Loss: 0.6850
Epoch 0 Batch 655/1077 - Train Accuracy: 0.5887, Validation Accuracy: 0.6005, Loss: 0.7182
Epoch 0 Batch 656/1077 - Train Accuracy: 0.5848, Validation Accuracy: 0.5987, Loss: 0.7152
Epoch 0 Batch 657/1077 - Train Accuracy: 0.6020, Validation Accuracy: 0.5991, Loss: 0.7450
Epoch 0 Batch 658/1077 - Train Accuracy: 0.5915, Validation Accuracy: 0.6012, Loss: 0.6757
Epoch 0 Batch 659/1077 - Train Accuracy: 0.6410, Validation Accuracy: 0.6001, Loss: 0.6578
Epoch 0 Batch 660/1077 - Train Accuracy: 0.5793, Validation Accuracy: 0.6030, Loss: 0.7321
Epoch 0 Batch 661/1077 - Train Accuracy: 0.5990, Validation Accuracy: 0.6051, Loss: 0.6600
Epoch 0 Batch 662/1077 - Train Accuracy: 0.6038, Validation Accuracy: 0.6076, Loss: 0.6787
Epoch 0 Batch 663/1077 - Train Accuracy: 0.5734, Validation Accuracy: 0.6108, Loss: 0.6926
Epoch 0 Batch 664/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.6108, Loss: 0.6860
Epoch 0 Batch 665/1077 - Train Accuracy: 0.5684, Validation Accuracy: 0.6080, Loss: 0.6942
Epoch 0 Batch 666/1077 - Train Accuracy: 0.5641, Validation Accuracy: 0.5980, Loss: 0.7391
Epoch 0 Batch 667/1077 - Train Accuracy: 0.5683, Validation Accuracy: 0.6048, Loss: 0.7400
Epoch 0 Batch 668/1077 - Train Accuracy: 0.6001, Validation Accuracy: 0.6072, Loss: 0.6666
Epoch 0 Batch 669/1077 - Train Accuracy: 0.5980, Validation Accuracy: 0.6083, Loss: 0.7016
Epoch 0 Batch 670/1077 - Train Accuracy: 0.6403, Validation Accuracy: 0.6083, Loss: 0.6419
Epoch 0 Batch 671/1077 - Train Accuracy: 0.5724, Validation Accuracy: 0.6097, Loss: 0.7592
Epoch 0 Batch 672/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.6122, Loss: 0.6640
Epoch 0 Batch 673/1077 - Train Accuracy: 0.6109, Validation Accuracy: 0.6179, Loss: 0.6722
Epoch 0 Batch 674/1077 - Train Accuracy: 0.6047, Validation Accuracy: 0.6143, Loss: 0.6881
Epoch 0 Batch 675/1077 - Train Accuracy: 0.5841, Validation Accuracy: 0.6133, Loss: 0.7004
Epoch 0 Batch 676/1077 - Train Accuracy: 0.6040, Validation Accuracy: 0.6101, Loss: 0.7313
Epoch 0 Batch 677/1077 - Train Accuracy: 0.5656, Validation Accuracy: 0.5831, Loss: 0.7330
Epoch 0 Batch 678/1077 - Train Accuracy: 0.5778, Validation Accuracy: 0.5842, Loss: 0.6606
Epoch 0 Batch 679/1077 - Train Accuracy: 0.5625, Validation Accuracy: 0.5934, Loss: 0.7331
Epoch 0 Batch 680/1077 - Train Accuracy: 0.5826, Validation Accuracy: 0.5934, Loss: 0.6664
Epoch 0 Batch 681/1077 - Train Accuracy: 0.6137, Validation Accuracy: 0.5962, Loss: 0.7060
Epoch 0 Batch 682/1077 - Train Accuracy: 0.5469, Validation Accuracy: 0.6051, Loss: 0.7222
Epoch 0 Batch 683/1077 - Train Accuracy: 0.5469, Validation Accuracy: 0.5955, Loss: 0.7012
Epoch 0 Batch 684/1077 - Train Accuracy: 0.5645, Validation Accuracy: 0.5561, Loss: 0.6845
Epoch 0 Batch 685/1077 - Train Accuracy: 0.5051, Validation Accuracy: 0.5078, Loss: 0.7178
Epoch 0 Batch 686/1077 - Train Accuracy: 0.5238, Validation Accuracy: 0.5089, Loss: 0.6753
Epoch 0 Batch 687/1077 - Train Accuracy: 0.5965, Validation Accuracy: 0.5863, Loss: 0.7301
Epoch 0 Batch 688/1077 - Train Accuracy: 0.6195, Validation Accuracy: 0.6044, Loss: 0.6906
Epoch 0 Batch 689/1077 - Train Accuracy: 0.5820, Validation Accuracy: 0.6076, Loss: 0.6693
Epoch 0 Batch 690/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.6072, Loss: 0.6825
Epoch 0 Batch 691/1077 - Train Accuracy: 0.5736, Validation Accuracy: 0.6033, Loss: 0.7579
Epoch 0 Batch 692/1077 - Train Accuracy: 0.6135, Validation Accuracy: 0.6058, Loss: 0.6691
Epoch 0 Batch 693/1077 - Train Accuracy: 0.5354, Validation Accuracy: 0.6030, Loss: 0.7830
Epoch 0 Batch 694/1077 - Train Accuracy: 0.6001, Validation Accuracy: 0.6026, Loss: 0.6564
Epoch 0 Batch 695/1077 - Train Accuracy: 0.6195, Validation Accuracy: 0.6140, Loss: 0.6688
Epoch 0 Batch 696/1077 - Train Accuracy: 0.5728, Validation Accuracy: 0.6087, Loss: 0.7237
Epoch 0 Batch 697/1077 - Train Accuracy: 0.5988, Validation Accuracy: 0.5955, Loss: 0.6749
Epoch 0 Batch 698/1077 - Train Accuracy: 0.5852, Validation Accuracy: 0.5845, Loss: 0.6635
Epoch 0 Batch 699/1077 - Train Accuracy: 0.5247, Validation Accuracy: 0.5874, Loss: 0.7091
Epoch 0 Batch 700/1077 - Train Accuracy: 0.5496, Validation Accuracy: 0.5845, Loss: 0.6886
Epoch 0 Batch 701/1077 - Train Accuracy: 0.5945, Validation Accuracy: 0.5813, Loss: 0.7255
Epoch 0 Batch 702/1077 - Train Accuracy: 0.5826, Validation Accuracy: 0.5984, Loss: 0.6852
Epoch 0 Batch 703/1077 - Train Accuracy: 0.6148, Validation Accuracy: 0.6087, Loss: 0.7061
Epoch 0 Batch 704/1077 - Train Accuracy: 0.5781, Validation Accuracy: 0.6048, Loss: 0.7085
Epoch 0 Batch 705/1077 - Train Accuracy: 0.6118, Validation Accuracy: 0.5998, Loss: 0.7513
Epoch 0 Batch 706/1077 - Train Accuracy: 0.6034, Validation Accuracy: 0.5991, Loss: 0.6931
Epoch 0 Batch 707/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6072, Loss: 0.7042
Epoch 0 Batch 708/1077 - Train Accuracy: 0.5926, Validation Accuracy: 0.6058, Loss: 0.6973
Epoch 0 Batch 709/1077 - Train Accuracy: 0.6117, Validation Accuracy: 0.6026, Loss: 0.7198
Epoch 0 Batch 710/1077 - Train Accuracy: 0.5629, Validation Accuracy: 0.5994, Loss: 0.6815
Epoch 0 Batch 711/1077 - Train Accuracy: 0.6094, Validation Accuracy: 0.6122, Loss: 0.7187
Epoch 0 Batch 712/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.6154, Loss: 0.6738
Epoch 0 Batch 713/1077 - Train Accuracy: 0.6104, Validation Accuracy: 0.6136, Loss: 0.6388
Epoch 0 Batch 714/1077 - Train Accuracy: 0.5699, Validation Accuracy: 0.6055, Loss: 0.6688
Epoch 0 Batch 715/1077 - Train Accuracy: 0.5926, Validation Accuracy: 0.5966, Loss: 0.7020
Epoch 0 Batch 716/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.5980, Loss: 0.6636
Epoch 0 Batch 717/1077 - Train Accuracy: 0.6032, Validation Accuracy: 0.6023, Loss: 0.6988
Epoch 0 Batch 718/1077 - Train Accuracy: 0.5715, Validation Accuracy: 0.6051, Loss: 0.6915
Epoch 0 Batch 719/1077 - Train Accuracy: 0.5874, Validation Accuracy: 0.6016, Loss: 0.6714
Epoch 0 Batch 720/1077 - Train Accuracy: 0.5831, Validation Accuracy: 0.5859, Loss: 0.7277
Epoch 0 Batch 721/1077 - Train Accuracy: 0.5883, Validation Accuracy: 0.5852, Loss: 0.7077
Epoch 0 Batch 722/1077 - Train Accuracy: 0.5965, Validation Accuracy: 0.5923, Loss: 0.6732
Epoch 0 Batch 723/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.5927, Loss: 0.6879
Epoch 0 Batch 724/1077 - Train Accuracy: 0.5592, Validation Accuracy: 0.5863, Loss: 0.7210
Epoch 0 Batch 725/1077 - Train Accuracy: 0.5830, Validation Accuracy: 0.5824, Loss: 0.6607
Epoch 0 Batch 726/1077 - Train Accuracy: 0.6027, Validation Accuracy: 0.5916, Loss: 0.6833
Epoch 0 Batch 727/1077 - Train Accuracy: 0.6066, Validation Accuracy: 0.5948, Loss: 0.6410
Epoch 0 Batch 728/1077 - Train Accuracy: 0.5811, Validation Accuracy: 0.5991, Loss: 0.6834
Epoch 0 Batch 729/1077 - Train Accuracy: 0.5465, Validation Accuracy: 0.5959, Loss: 0.7120
Epoch 0 Batch 730/1077 - Train Accuracy: 0.5684, Validation Accuracy: 0.5998, Loss: 0.6876
Epoch 0 Batch 731/1077 - Train Accuracy: 0.5993, Validation Accuracy: 0.5977, Loss: 0.6641
Epoch 0 Batch 732/1077 - Train Accuracy: 0.5428, Validation Accuracy: 0.5643, Loss: 0.7251
Epoch 0 Batch 733/1077 - Train Accuracy: 0.5758, Validation Accuracy: 0.5625, Loss: 0.6807
Epoch 0 Batch 734/1077 - Train Accuracy: 0.5473, Validation Accuracy: 0.5771, Loss: 0.7034
Epoch 0 Batch 735/1077 - Train Accuracy: 0.6078, Validation Accuracy: 0.6186, Loss: 0.6655
Epoch 0 Batch 736/1077 - Train Accuracy: 0.6040, Validation Accuracy: 0.6179, Loss: 0.6789
Epoch 0 Batch 737/1077 - Train Accuracy: 0.6086, Validation Accuracy: 0.6190, Loss: 0.7080
Epoch 0 Batch 738/1077 - Train Accuracy: 0.6663, Validation Accuracy: 0.6190, Loss: 0.5917
Epoch 0 Batch 739/1077 - Train Accuracy: 0.6172, Validation Accuracy: 0.6243, Loss: 0.6478
Epoch 0 Batch 740/1077 - Train Accuracy: 0.6012, Validation Accuracy: 0.6232, Loss: 0.6599
Epoch 0 Batch 741/1077 - Train Accuracy: 0.6219, Validation Accuracy: 0.6232, Loss: 0.6949
Epoch 0 Batch 742/1077 - Train Accuracy: 0.5687, Validation Accuracy: 0.6204, Loss: 0.6770
Epoch 0 Batch 743/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.6225, Loss: 0.7128
Epoch 0 Batch 744/1077 - Train Accuracy: 0.6179, Validation Accuracy: 0.6211, Loss: 0.6401
Epoch 0 Batch 745/1077 - Train Accuracy: 0.6227, Validation Accuracy: 0.6140, Loss: 0.6688
Epoch 0 Batch 746/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6161, Loss: 0.6650
Epoch 0 Batch 747/1077 - Train Accuracy: 0.6141, Validation Accuracy: 0.6161, Loss: 0.6386
Epoch 0 Batch 748/1077 - Train Accuracy: 0.6062, Validation Accuracy: 0.6165, Loss: 0.6657
Epoch 0 Batch 749/1077 - Train Accuracy: 0.5762, Validation Accuracy: 0.6090, Loss: 0.6988
Epoch 0 Batch 750/1077 - Train Accuracy: 0.6215, Validation Accuracy: 0.5977, Loss: 0.6554
Epoch 0 Batch 751/1077 - Train Accuracy: 0.5820, Validation Accuracy: 0.5973, Loss: 0.6769
Epoch 0 Batch 752/1077 - Train Accuracy: 0.5990, Validation Accuracy: 0.5962, Loss: 0.6416
Epoch 0 Batch 753/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.6048, Loss: 0.6619
Epoch 0 Batch 754/1077 - Train Accuracy: 0.6117, Validation Accuracy: 0.6072, Loss: 0.6777
Epoch 0 Batch 755/1077 - Train Accuracy: 0.6004, Validation Accuracy: 0.6072, Loss: 0.6626
Epoch 0 Batch 756/1077 - Train Accuracy: 0.6301, Validation Accuracy: 0.6076, Loss: 0.6605
Epoch 0 Batch 757/1077 - Train Accuracy: 0.5789, Validation Accuracy: 0.6012, Loss: 0.6957
Epoch 0 Batch 758/1077 - Train Accuracy: 0.6116, Validation Accuracy: 0.5991, Loss: 0.6338
Epoch 0 Batch 759/1077 - Train Accuracy: 0.6075, Validation Accuracy: 0.5913, Loss: 0.6152
Epoch 0 Batch 760/1077 - Train Accuracy: 0.5898, Validation Accuracy: 0.5969, Loss: 0.6876
Epoch 0 Batch 761/1077 - Train Accuracy: 0.5498, Validation Accuracy: 0.6051, Loss: 0.7045
Epoch 0 Batch 762/1077 - Train Accuracy: 0.5973, Validation Accuracy: 0.6147, Loss: 0.6481
Epoch 0 Batch 763/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.6193, Loss: 0.6278
Epoch 0 Batch 764/1077 - Train Accuracy: 0.6353, Validation Accuracy: 0.6119, Loss: 0.6702
Epoch 0 Batch 765/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6094, Loss: 0.6288
Epoch 0 Batch 766/1077 - Train Accuracy: 0.5922, Validation Accuracy: 0.6140, Loss: 0.6967
Epoch 0 Batch 767/1077 - Train Accuracy: 0.6219, Validation Accuracy: 0.6126, Loss: 0.6625
Epoch 0 Batch 768/1077 - Train Accuracy: 0.5895, Validation Accuracy: 0.6133, Loss: 0.6826
Epoch 0 Batch 769/1077 - Train Accuracy: 0.6289, Validation Accuracy: 0.6083, Loss: 0.6755
Epoch 0 Batch 770/1077 - Train Accuracy: 0.6239, Validation Accuracy: 0.6001, Loss: 0.6357
Epoch 0 Batch 771/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.5987, Loss: 0.6851
Epoch 0 Batch 772/1077 - Train Accuracy: 0.5964, Validation Accuracy: 0.6062, Loss: 0.6385
Epoch 0 Batch 773/1077 - Train Accuracy: 0.6105, Validation Accuracy: 0.5973, Loss: 0.6482
Epoch 0 Batch 774/1077 - Train Accuracy: 0.5883, Validation Accuracy: 0.5984, Loss: 0.6690
Epoch 0 Batch 775/1077 - Train Accuracy: 0.6125, Validation Accuracy: 0.6062, Loss: 0.6617
Epoch 0 Batch 776/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.5994, Loss: 0.6693
Epoch 0 Batch 777/1077 - Train Accuracy: 0.6023, Validation Accuracy: 0.6094, Loss: 0.6722
Epoch 0 Batch 778/1077 - Train Accuracy: 0.6034, Validation Accuracy: 0.6069, Loss: 0.6403
Epoch 0 Batch 779/1077 - Train Accuracy: 0.6020, Validation Accuracy: 0.6136, Loss: 0.6875
Epoch 0 Batch 780/1077 - Train Accuracy: 0.5969, Validation Accuracy: 0.6147, Loss: 0.6995
Epoch 0 Batch 781/1077 - Train Accuracy: 0.6432, Validation Accuracy: 0.6112, Loss: 0.6161
Epoch 0 Batch 782/1077 - Train Accuracy: 0.6380, Validation Accuracy: 0.6165, Loss: 0.6426
Epoch 0 Batch 783/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.6154, Loss: 0.6481
Epoch 0 Batch 784/1077 - Train Accuracy: 0.6199, Validation Accuracy: 0.6172, Loss: 0.6487
Epoch 0 Batch 785/1077 - Train Accuracy: 0.6496, Validation Accuracy: 0.6197, Loss: 0.6196
Epoch 0 Batch 786/1077 - Train Accuracy: 0.5625, Validation Accuracy: 0.6175, Loss: 0.6682
Epoch 0 Batch 787/1077 - Train Accuracy: 0.6190, Validation Accuracy: 0.6129, Loss: 0.6125
Epoch 0 Batch 788/1077 - Train Accuracy: 0.6145, Validation Accuracy: 0.6115, Loss: 0.6634
Epoch 0 Batch 789/1077 - Train Accuracy: 0.5650, Validation Accuracy: 0.6175, Loss: 0.6917
Epoch 0 Batch 790/1077 - Train Accuracy: 0.5477, Validation Accuracy: 0.6172, Loss: 0.6772
Epoch 0 Batch 791/1077 - Train Accuracy: 0.6281, Validation Accuracy: 0.6229, Loss: 0.6573
Epoch 0 Batch 792/1077 - Train Accuracy: 0.5867, Validation Accuracy: 0.6197, Loss: 0.6748
Epoch 0 Batch 793/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6190, Loss: 0.6461
Epoch 0 Batch 794/1077 - Train Accuracy: 0.5594, Validation Accuracy: 0.6214, Loss: 0.6417
Epoch 0 Batch 795/1077 - Train Accuracy: 0.6137, Validation Accuracy: 0.6186, Loss: 0.6834
Epoch 0 Batch 796/1077 - Train Accuracy: 0.6168, Validation Accuracy: 0.6175, Loss: 0.6692
Epoch 0 Batch 797/1077 - Train Accuracy: 0.6012, Validation Accuracy: 0.6190, Loss: 0.6497
Epoch 0 Batch 798/1077 - Train Accuracy: 0.6012, Validation Accuracy: 0.6165, Loss: 0.6751
Epoch 0 Batch 799/1077 - Train Accuracy: 0.6027, Validation Accuracy: 0.6165, Loss: 0.6936
Epoch 0 Batch 800/1077 - Train Accuracy: 0.5773, Validation Accuracy: 0.6069, Loss: 0.6572
Epoch 0 Batch 801/1077 - Train Accuracy: 0.5797, Validation Accuracy: 0.6030, Loss: 0.6816
Epoch 0 Batch 802/1077 - Train Accuracy: 0.6198, Validation Accuracy: 0.6048, Loss: 0.6416
Epoch 0 Batch 803/1077 - Train Accuracy: 0.6086, Validation Accuracy: 0.6012, Loss: 0.6659
Epoch 0 Batch 804/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.5980, Loss: 0.6586
Epoch 0 Batch 805/1077 - Train Accuracy: 0.6191, Validation Accuracy: 0.6037, Loss: 0.6526
Epoch 0 Batch 806/1077 - Train Accuracy: 0.6036, Validation Accuracy: 0.6037, Loss: 0.6658
Epoch 0 Batch 807/1077 - Train Accuracy: 0.5824, Validation Accuracy: 0.6161, Loss: 0.6439
Epoch 0 Batch 808/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.6115, Loss: 0.6691
Epoch 0 Batch 809/1077 - Train Accuracy: 0.5859, Validation Accuracy: 0.6140, Loss: 0.7049
Epoch 0 Batch 810/1077 - Train Accuracy: 0.6153, Validation Accuracy: 0.6158, Loss: 0.6065
Epoch 0 Batch 811/1077 - Train Accuracy: 0.6324, Validation Accuracy: 0.6122, Loss: 0.6131
Epoch 0 Batch 812/1077 - Train Accuracy: 0.5797, Validation Accuracy: 0.6175, Loss: 0.6529
Epoch 0 Batch 813/1077 - Train Accuracy: 0.6168, Validation Accuracy: 0.6175, Loss: 0.6264
Epoch 0 Batch 814/1077 - Train Accuracy: 0.5984, Validation Accuracy: 0.6207, Loss: 0.6563
Epoch 0 Batch 815/1077 - Train Accuracy: 0.5910, Validation Accuracy: 0.6200, Loss: 0.6445
Epoch 0 Batch 816/1077 - Train Accuracy: 0.6447, Validation Accuracy: 0.6239, Loss: 0.6710
Epoch 0 Batch 817/1077 - Train Accuracy: 0.5871, Validation Accuracy: 0.6236, Loss: 0.6865
Epoch 0 Batch 818/1077 - Train Accuracy: 0.5922, Validation Accuracy: 0.6225, Loss: 0.6842
Epoch 0 Batch 819/1077 - Train Accuracy: 0.6312, Validation Accuracy: 0.6204, Loss: 0.6394
Epoch 0 Batch 820/1077 - Train Accuracy: 0.5855, Validation Accuracy: 0.6207, Loss: 0.6708
Epoch 0 Batch 821/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.6165, Loss: 0.6519
Epoch 0 Batch 822/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6211, Loss: 0.6567
Epoch 0 Batch 823/1077 - Train Accuracy: 0.5965, Validation Accuracy: 0.6186, Loss: 0.6488
Epoch 0 Batch 824/1077 - Train Accuracy: 0.5956, Validation Accuracy: 0.6197, Loss: 0.6257
Epoch 0 Batch 825/1077 - Train Accuracy: 0.6035, Validation Accuracy: 0.6207, Loss: 0.6462
Epoch 0 Batch 826/1077 - Train Accuracy: 0.6499, Validation Accuracy: 0.6207, Loss: 0.5954
Epoch 0 Batch 827/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.6250, Loss: 0.6802
Epoch 0 Batch 828/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6293, Loss: 0.6408
Epoch 0 Batch 829/1077 - Train Accuracy: 0.6262, Validation Accuracy: 0.6300, Loss: 0.6818
Epoch 0 Batch 830/1077 - Train Accuracy: 0.5961, Validation Accuracy: 0.6225, Loss: 0.6293
Epoch 0 Batch 831/1077 - Train Accuracy: 0.5875, Validation Accuracy: 0.6147, Loss: 0.6634
Epoch 0 Batch 832/1077 - Train Accuracy: 0.6059, Validation Accuracy: 0.6140, Loss: 0.6679
Epoch 0 Batch 833/1077 - Train Accuracy: 0.6082, Validation Accuracy: 0.6126, Loss: 0.6732
Epoch 0 Batch 834/1077 - Train Accuracy: 0.6573, Validation Accuracy: 0.6158, Loss: 0.6272
Epoch 0 Batch 835/1077 - Train Accuracy: 0.6117, Validation Accuracy: 0.6122, Loss: 0.6491
Epoch 0 Batch 836/1077 - Train Accuracy: 0.5748, Validation Accuracy: 0.6072, Loss: 0.6834
Epoch 0 Batch 837/1077 - Train Accuracy: 0.5918, Validation Accuracy: 0.6069, Loss: 0.6873
Epoch 0 Batch 838/1077 - Train Accuracy: 0.5910, Validation Accuracy: 0.6051, Loss: 0.6315
Epoch 0 Batch 839/1077 - Train Accuracy: 0.6059, Validation Accuracy: 0.6065, Loss: 0.6214
Epoch 0 Batch 840/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6069, Loss: 0.6304
Epoch 0 Batch 841/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6119, Loss: 0.6509
Epoch 0 Batch 842/1077 - Train Accuracy: 0.6125, Validation Accuracy: 0.6133, Loss: 0.6253
Epoch 0 Batch 843/1077 - Train Accuracy: 0.6388, Validation Accuracy: 0.6179, Loss: 0.6157
Epoch 0 Batch 844/1077 - Train Accuracy: 0.6079, Validation Accuracy: 0.6133, Loss: 0.6040
Epoch 0 Batch 845/1077 - Train Accuracy: 0.6203, Validation Accuracy: 0.6147, Loss: 0.6425
Epoch 0 Batch 846/1077 - Train Accuracy: 0.6242, Validation Accuracy: 0.6165, Loss: 0.6404
Epoch 0 Batch 847/1077 - Train Accuracy: 0.6402, Validation Accuracy: 0.6218, Loss: 0.6653
Epoch 0 Batch 848/1077 - Train Accuracy: 0.5980, Validation Accuracy: 0.6190, Loss: 0.6538
Epoch 0 Batch 849/1077 - Train Accuracy: 0.6137, Validation Accuracy: 0.6190, Loss: 0.6271
Epoch 0 Batch 850/1077 - Train Accuracy: 0.6038, Validation Accuracy: 0.6197, Loss: 0.6655
Epoch 0 Batch 851/1077 - Train Accuracy: 0.6317, Validation Accuracy: 0.6175, Loss: 0.6263
Epoch 0 Batch 852/1077 - Train Accuracy: 0.5926, Validation Accuracy: 0.6158, Loss: 0.6576
Epoch 0 Batch 853/1077 - Train Accuracy: 0.6559, Validation Accuracy: 0.6211, Loss: 0.5997
Epoch 0 Batch 854/1077 - Train Accuracy: 0.6543, Validation Accuracy: 0.6218, Loss: 0.6407
Epoch 0 Batch 855/1077 - Train Accuracy: 0.6215, Validation Accuracy: 0.6236, Loss: 0.6306
Epoch 0 Batch 856/1077 - Train Accuracy: 0.6215, Validation Accuracy: 0.6232, Loss: 0.6631
Epoch 0 Batch 857/1077 - Train Accuracy: 0.6227, Validation Accuracy: 0.6236, Loss: 0.6346
Epoch 0 Batch 858/1077 - Train Accuracy: 0.6097, Validation Accuracy: 0.6225, Loss: 0.6227
Epoch 0 Batch 859/1077 - Train Accuracy: 0.6230, Validation Accuracy: 0.6154, Loss: 0.6573
Epoch 0 Batch 860/1077 - Train Accuracy: 0.5952, Validation Accuracy: 0.6040, Loss: 0.6223
Epoch 0 Batch 861/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.6040, Loss: 0.6414
Epoch 0 Batch 862/1077 - Train Accuracy: 0.6367, Validation Accuracy: 0.6126, Loss: 0.6162
Epoch 0 Batch 863/1077 - Train Accuracy: 0.6270, Validation Accuracy: 0.6104, Loss: 0.6400
Epoch 0 Batch 864/1077 - Train Accuracy: 0.6129, Validation Accuracy: 0.6172, Loss: 0.6277
Epoch 0 Batch 865/1077 - Train Accuracy: 0.6612, Validation Accuracy: 0.6211, Loss: 0.5678
Epoch 0 Batch 866/1077 - Train Accuracy: 0.6358, Validation Accuracy: 0.6243, Loss: 0.6315
Epoch 0 Batch 867/1077 - Train Accuracy: 0.5793, Validation Accuracy: 0.6246, Loss: 0.6817
Epoch 0 Batch 868/1077 - Train Accuracy: 0.6125, Validation Accuracy: 0.6183, Loss: 0.6511
Epoch 0 Batch 869/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6183, Loss: 0.6475
Epoch 0 Batch 870/1077 - Train Accuracy: 0.5855, Validation Accuracy: 0.6168, Loss: 0.6698
Epoch 0 Batch 871/1077 - Train Accuracy: 0.5695, Validation Accuracy: 0.6172, Loss: 0.6421
Epoch 0 Batch 872/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6197, Loss: 0.6190
Epoch 0 Batch 873/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6207, Loss: 0.6433
Epoch 0 Batch 874/1077 - Train Accuracy: 0.5773, Validation Accuracy: 0.6193, Loss: 0.6523
Epoch 0 Batch 875/1077 - Train Accuracy: 0.6297, Validation Accuracy: 0.6168, Loss: 0.6497
Epoch 0 Batch 876/1077 - Train Accuracy: 0.5992, Validation Accuracy: 0.6165, Loss: 0.6481
Epoch 0 Batch 877/1077 - Train Accuracy: 0.6180, Validation Accuracy: 0.6175, Loss: 0.6416
Epoch 0 Batch 878/1077 - Train Accuracy: 0.6434, Validation Accuracy: 0.6154, Loss: 0.6180
Epoch 0 Batch 879/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6179, Loss: 0.5983
Epoch 0 Batch 880/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6026, Loss: 0.6285
Epoch 0 Batch 881/1077 - Train Accuracy: 0.5844, Validation Accuracy: 0.6040, Loss: 0.6659
Epoch 0 Batch 882/1077 - Train Accuracy: 0.6520, Validation Accuracy: 0.6051, Loss: 0.6478
Epoch 0 Batch 883/1077 - Train Accuracy: 0.5707, Validation Accuracy: 0.6097, Loss: 0.7060
Epoch 0 Batch 884/1077 - Train Accuracy: 0.6027, Validation Accuracy: 0.6204, Loss: 0.6371
Epoch 0 Batch 885/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6218, Loss: 0.5529
Epoch 0 Batch 886/1077 - Train Accuracy: 0.5730, Validation Accuracy: 0.6232, Loss: 0.6566
Epoch 0 Batch 887/1077 - Train Accuracy: 0.6199, Validation Accuracy: 0.6214, Loss: 0.6524
Epoch 0 Batch 888/1077 - Train Accuracy: 0.6272, Validation Accuracy: 0.6232, Loss: 0.6086
Epoch 0 Batch 889/1077 - Train Accuracy: 0.6285, Validation Accuracy: 0.6257, Loss: 0.6350
Epoch 0 Batch 890/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6229, Loss: 0.5975
Epoch 0 Batch 891/1077 - Train Accuracy: 0.6061, Validation Accuracy: 0.6243, Loss: 0.6325
Epoch 0 Batch 892/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6261, Loss: 0.6067
Epoch 0 Batch 893/1077 - Train Accuracy: 0.6301, Validation Accuracy: 0.6300, Loss: 0.6185
Epoch 0 Batch 894/1077 - Train Accuracy: 0.6399, Validation Accuracy: 0.6275, Loss: 0.5961
Epoch 0 Batch 895/1077 - Train Accuracy: 0.5957, Validation Accuracy: 0.6264, Loss: 0.6185
Epoch 0 Batch 896/1077 - Train Accuracy: 0.5826, Validation Accuracy: 0.6250, Loss: 0.6681
Epoch 0 Batch 897/1077 - Train Accuracy: 0.6313, Validation Accuracy: 0.6250, Loss: 0.5873
Epoch 0 Batch 898/1077 - Train Accuracy: 0.6310, Validation Accuracy: 0.6250, Loss: 0.6055
Epoch 0 Batch 899/1077 - Train Accuracy: 0.6020, Validation Accuracy: 0.6246, Loss: 0.6485
Epoch 0 Batch 900/1077 - Train Accuracy: 0.6281, Validation Accuracy: 0.6172, Loss: 0.6498
Epoch 0 Batch 901/1077 - Train Accuracy: 0.6362, Validation Accuracy: 0.6122, Loss: 0.6506
Epoch 0 Batch 902/1077 - Train Accuracy: 0.6447, Validation Accuracy: 0.6115, Loss: 0.6082
Epoch 0 Batch 903/1077 - Train Accuracy: 0.6352, Validation Accuracy: 0.6168, Loss: 0.6251
Epoch 0 Batch 904/1077 - Train Accuracy: 0.5941, Validation Accuracy: 0.6193, Loss: 0.6337
Epoch 0 Batch 905/1077 - Train Accuracy: 0.6539, Validation Accuracy: 0.6154, Loss: 0.6110
Epoch 0 Batch 906/1077 - Train Accuracy: 0.5848, Validation Accuracy: 0.6158, Loss: 0.6210
Epoch 0 Batch 907/1077 - Train Accuracy: 0.6109, Validation Accuracy: 0.6143, Loss: 0.6120
Epoch 0 Batch 908/1077 - Train Accuracy: 0.5914, Validation Accuracy: 0.6097, Loss: 0.6425
Epoch 0 Batch 909/1077 - Train Accuracy: 0.6262, Validation Accuracy: 0.6133, Loss: 0.6270
Epoch 0 Batch 910/1077 - Train Accuracy: 0.5744, Validation Accuracy: 0.6058, Loss: 0.6147
Epoch 0 Batch 911/1077 - Train Accuracy: 0.6655, Validation Accuracy: 0.6040, Loss: 0.5589
Epoch 0 Batch 912/1077 - Train Accuracy: 0.6062, Validation Accuracy: 0.6051, Loss: 0.6433
Epoch 0 Batch 913/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6154, Loss: 0.6717
Epoch 0 Batch 914/1077 - Train Accuracy: 0.7005, Validation Accuracy: 0.6190, Loss: 0.5657
Epoch 0 Batch 915/1077 - Train Accuracy: 0.5822, Validation Accuracy: 0.6207, Loss: 0.6560
Epoch 0 Batch 916/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6122, Loss: 0.6325
Epoch 0 Batch 917/1077 - Train Accuracy: 0.5871, Validation Accuracy: 0.6225, Loss: 0.6579
Epoch 0 Batch 918/1077 - Train Accuracy: 0.6566, Validation Accuracy: 0.6243, Loss: 0.5833
Epoch 0 Batch 919/1077 - Train Accuracy: 0.6534, Validation Accuracy: 0.6296, Loss: 0.6303
Epoch 0 Batch 920/1077 - Train Accuracy: 0.6238, Validation Accuracy: 0.6300, Loss: 0.6511
Epoch 0 Batch 921/1077 - Train Accuracy: 0.5820, Validation Accuracy: 0.6314, Loss: 0.6416
Epoch 0 Batch 922/1077 - Train Accuracy: 0.5934, Validation Accuracy: 0.6342, Loss: 0.6026
Epoch 0 Batch 923/1077 - Train Accuracy: 0.5818, Validation Accuracy: 0.6349, Loss: 0.6541
Epoch 0 Batch 924/1077 - Train Accuracy: 0.6007, Validation Accuracy: 0.6367, Loss: 0.6797
Epoch 0 Batch 925/1077 - Train Accuracy: 0.6183, Validation Accuracy: 0.6328, Loss: 0.6074
Epoch 0 Batch 926/1077 - Train Accuracy: 0.6121, Validation Accuracy: 0.6325, Loss: 0.6189
Epoch 0 Batch 927/1077 - Train Accuracy: 0.5594, Validation Accuracy: 0.6300, Loss: 0.6464
Epoch 0 Batch 928/1077 - Train Accuracy: 0.6266, Validation Accuracy: 0.6289, Loss: 0.6203
Epoch 0 Batch 929/1077 - Train Accuracy: 0.6047, Validation Accuracy: 0.6300, Loss: 0.6364
Epoch 0 Batch 930/1077 - Train Accuracy: 0.6305, Validation Accuracy: 0.6300, Loss: 0.6208
Epoch 0 Batch 931/1077 - Train Accuracy: 0.6535, Validation Accuracy: 0.6222, Loss: 0.6232
Epoch 0 Batch 932/1077 - Train Accuracy: 0.5551, Validation Accuracy: 0.6200, Loss: 0.6482
Epoch 0 Batch 933/1077 - Train Accuracy: 0.6238, Validation Accuracy: 0.6218, Loss: 0.6345
Epoch 0 Batch 934/1077 - Train Accuracy: 0.6070, Validation Accuracy: 0.6204, Loss: 0.6320
Epoch 0 Batch 935/1077 - Train Accuracy: 0.6191, Validation Accuracy: 0.6204, Loss: 0.6379
Epoch 0 Batch 936/1077 - Train Accuracy: 0.5971, Validation Accuracy: 0.6218, Loss: 0.6158
Epoch 0 Batch 937/1077 - Train Accuracy: 0.6402, Validation Accuracy: 0.6065, Loss: 0.6483
Epoch 0 Batch 938/1077 - Train Accuracy: 0.6426, Validation Accuracy: 0.6048, Loss: 0.6387
Epoch 0 Batch 939/1077 - Train Accuracy: 0.6156, Validation Accuracy: 0.5984, Loss: 0.6141
Epoch 0 Batch 940/1077 - Train Accuracy: 0.5910, Validation Accuracy: 0.5980, Loss: 0.6362
Epoch 0 Batch 941/1077 - Train Accuracy: 0.6127, Validation Accuracy: 0.6090, Loss: 0.5807
Epoch 0 Batch 942/1077 - Train Accuracy: 0.6379, Validation Accuracy: 0.6072, Loss: 0.6597
Epoch 0 Batch 943/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.6080, Loss: 0.6282
Epoch 0 Batch 944/1077 - Train Accuracy: 0.6153, Validation Accuracy: 0.6158, Loss: 0.6210
Epoch 0 Batch 945/1077 - Train Accuracy: 0.6715, Validation Accuracy: 0.6126, Loss: 0.6152
Epoch 0 Batch 946/1077 - Train Accuracy: 0.6094, Validation Accuracy: 0.6211, Loss: 0.6211
Epoch 0 Batch 947/1077 - Train Accuracy: 0.5835, Validation Accuracy: 0.6211, Loss: 0.6791
Epoch 0 Batch 948/1077 - Train Accuracy: 0.5914, Validation Accuracy: 0.6214, Loss: 0.5997
Epoch 0 Batch 949/1077 - Train Accuracy: 0.6503, Validation Accuracy: 0.6204, Loss: 0.5619
Epoch 0 Batch 950/1077 - Train Accuracy: 0.5889, Validation Accuracy: 0.6179, Loss: 0.6126
Epoch 0 Batch 951/1077 - Train Accuracy: 0.6198, Validation Accuracy: 0.6193, Loss: 0.5914
Epoch 0 Batch 952/1077 - Train Accuracy: 0.6152, Validation Accuracy: 0.6246, Loss: 0.6078
Epoch 0 Batch 953/1077 - Train Accuracy: 0.6201, Validation Accuracy: 0.6229, Loss: 0.6192
Epoch 0 Batch 954/1077 - Train Accuracy: 0.5547, Validation Accuracy: 0.6183, Loss: 0.6570
Epoch 0 Batch 955/1077 - Train Accuracy: 0.6258, Validation Accuracy: 0.6200, Loss: 0.6259
Epoch 0 Batch 956/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6197, Loss: 0.6088
Epoch 0 Batch 957/1077 - Train Accuracy: 0.6603, Validation Accuracy: 0.6190, Loss: 0.5686
Epoch 0 Batch 958/1077 - Train Accuracy: 0.6156, Validation Accuracy: 0.6200, Loss: 0.6157
Epoch 0 Batch 959/1077 - Train Accuracy: 0.6371, Validation Accuracy: 0.6076, Loss: 0.6023
Epoch 0 Batch 960/1077 - Train Accuracy: 0.6261, Validation Accuracy: 0.6023, Loss: 0.5847
Epoch 0 Batch 961/1077 - Train Accuracy: 0.6000, Validation Accuracy: 0.6051, Loss: 0.6286
Epoch 0 Batch 962/1077 - Train Accuracy: 0.6488, Validation Accuracy: 0.6090, Loss: 0.5964
Epoch 0 Batch 963/1077 - Train Accuracy: 0.5968, Validation Accuracy: 0.6147, Loss: 0.6871
Epoch 0 Batch 964/1077 - Train Accuracy: 0.6265, Validation Accuracy: 0.6243, Loss: 0.5950
Epoch 0 Batch 965/1077 - Train Accuracy: 0.5740, Validation Accuracy: 0.6207, Loss: 0.6586
Epoch 0 Batch 966/1077 - Train Accuracy: 0.6546, Validation Accuracy: 0.6250, Loss: 0.5511
Epoch 0 Batch 967/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6264, Loss: 0.6067
Epoch 0 Batch 968/1077 - Train Accuracy: 0.5680, Validation Accuracy: 0.6211, Loss: 0.6343
Epoch 0 Batch 969/1077 - Train Accuracy: 0.6269, Validation Accuracy: 0.6165, Loss: 0.6104
Epoch 0 Batch 970/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6204, Loss: 0.6486
Epoch 0 Batch 971/1077 - Train Accuracy: 0.6503, Validation Accuracy: 0.6207, Loss: 0.5901
Epoch 0 Batch 972/1077 - Train Accuracy: 0.5957, Validation Accuracy: 0.6147, Loss: 0.6149
Epoch 0 Batch 973/1077 - Train Accuracy: 0.6548, Validation Accuracy: 0.6214, Loss: 0.5885
Epoch 0 Batch 974/1077 - Train Accuracy: 0.5828, Validation Accuracy: 0.6197, Loss: 0.6080
Epoch 0 Batch 975/1077 - Train Accuracy: 0.6477, Validation Accuracy: 0.6214, Loss: 0.5857
Epoch 0 Batch 976/1077 - Train Accuracy: 0.6113, Validation Accuracy: 0.6271, Loss: 0.5979
Epoch 0 Batch 977/1077 - Train Accuracy: 0.6734, Validation Accuracy: 0.6193, Loss: 0.5751
Epoch 0 Batch 978/1077 - Train Accuracy: 0.6500, Validation Accuracy: 0.6172, Loss: 0.6234
Epoch 0 Batch 979/1077 - Train Accuracy: 0.6007, Validation Accuracy: 0.6232, Loss: 0.6536
Epoch 0 Batch 980/1077 - Train Accuracy: 0.6238, Validation Accuracy: 0.6239, Loss: 0.6171
Epoch 0 Batch 981/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6264, Loss: 0.6264
Epoch 0 Batch 982/1077 - Train Accuracy: 0.6310, Validation Accuracy: 0.6243, Loss: 0.6009
Epoch 0 Batch 983/1077 - Train Accuracy: 0.6328, Validation Accuracy: 0.6193, Loss: 0.6256
Epoch 0 Batch 984/1077 - Train Accuracy: 0.5855, Validation Accuracy: 0.6175, Loss: 0.6670
Epoch 0 Batch 985/1077 - Train Accuracy: 0.6367, Validation Accuracy: 0.6083, Loss: 0.6157
Epoch 0 Batch 986/1077 - Train Accuracy: 0.6109, Validation Accuracy: 0.6062, Loss: 0.6220
Epoch 0 Batch 987/1077 - Train Accuracy: 0.6012, Validation Accuracy: 0.6087, Loss: 0.5867
Epoch 0 Batch 988/1077 - Train Accuracy: 0.5707, Validation Accuracy: 0.6133, Loss: 0.6246
Epoch 0 Batch 989/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.6115, Loss: 0.6205
Epoch 0 Batch 990/1077 - Train Accuracy: 0.6028, Validation Accuracy: 0.6151, Loss: 0.6692
Epoch 0 Batch 991/1077 - Train Accuracy: 0.6395, Validation Accuracy: 0.6268, Loss: 0.6105
Epoch 0 Batch 992/1077 - Train Accuracy: 0.6305, Validation Accuracy: 0.6264, Loss: 0.5994
Epoch 0 Batch 993/1077 - Train Accuracy: 0.6508, Validation Accuracy: 0.6296, Loss: 0.5813
Epoch 0 Batch 994/1077 - Train Accuracy: 0.6340, Validation Accuracy: 0.6325, Loss: 0.6102
Epoch 0 Batch 995/1077 - Train Accuracy: 0.6488, Validation Accuracy: 0.6317, Loss: 0.5905
Epoch 0 Batch 996/1077 - Train Accuracy: 0.6043, Validation Accuracy: 0.6314, Loss: 0.6112
Epoch 0 Batch 997/1077 - Train Accuracy: 0.6168, Validation Accuracy: 0.6286, Loss: 0.6465
Epoch 0 Batch 998/1077 - Train Accuracy: 0.5852, Validation Accuracy: 0.6282, Loss: 0.5928
Epoch 0 Batch 999/1077 - Train Accuracy: 0.6305, Validation Accuracy: 0.6310, Loss: 0.6455
Epoch 0 Batch 1000/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6317, Loss: 0.5581
Epoch 0 Batch 1001/1077 - Train Accuracy: 0.6094, Validation Accuracy: 0.6282, Loss: 0.5612
Epoch 0 Batch 1002/1077 - Train Accuracy: 0.6504, Validation Accuracy: 0.6250, Loss: 0.5979
Epoch 0 Batch 1003/1077 - Train Accuracy: 0.6266, Validation Accuracy: 0.6225, Loss: 0.6349
Epoch 0 Batch 1004/1077 - Train Accuracy: 0.6168, Validation Accuracy: 0.6207, Loss: 0.6013
Epoch 0 Batch 1005/1077 - Train Accuracy: 0.6141, Validation Accuracy: 0.6218, Loss: 0.6057
Epoch 0 Batch 1006/1077 - Train Accuracy: 0.6238, Validation Accuracy: 0.6250, Loss: 0.5768
Epoch 0 Batch 1007/1077 - Train Accuracy: 0.6663, Validation Accuracy: 0.6239, Loss: 0.5735
Epoch 0 Batch 1008/1077 - Train Accuracy: 0.6391, Validation Accuracy: 0.6254, Loss: 0.6220
Epoch 0 Batch 1009/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.6364, Loss: 0.5653
Epoch 0 Batch 1010/1077 - Train Accuracy: 0.6332, Validation Accuracy: 0.6392, Loss: 0.6105
Epoch 0 Batch 1011/1077 - Train Accuracy: 0.6188, Validation Accuracy: 0.6364, Loss: 0.6311
Epoch 0 Batch 1012/1077 - Train Accuracy: 0.6164, Validation Accuracy: 0.6332, Loss: 0.5822
Epoch 0 Batch 1013/1077 - Train Accuracy: 0.6544, Validation Accuracy: 0.6332, Loss: 0.5782
Epoch 0 Batch 1014/1077 - Train Accuracy: 0.6152, Validation Accuracy: 0.6307, Loss: 0.6366
Epoch 0 Batch 1015/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6275, Loss: 0.6360
Epoch 0 Batch 1016/1077 - Train Accuracy: 0.5919, Validation Accuracy: 0.6282, Loss: 0.6117
Epoch 0 Batch 1017/1077 - Train Accuracy: 0.6287, Validation Accuracy: 0.6293, Loss: 0.6142
Epoch 0 Batch 1018/1077 - Train Accuracy: 0.6157, Validation Accuracy: 0.6165, Loss: 0.5953
Epoch 0 Batch 1019/1077 - Train Accuracy: 0.5925, Validation Accuracy: 0.6179, Loss: 0.6534
Epoch 0 Batch 1020/1077 - Train Accuracy: 0.6176, Validation Accuracy: 0.6147, Loss: 0.5941
Epoch 0 Batch 1021/1077 - Train Accuracy: 0.6231, Validation Accuracy: 0.6200, Loss: 0.5914
Epoch 0 Batch 1022/1077 - Train Accuracy: 0.6596, Validation Accuracy: 0.6271, Loss: 0.5696
Epoch 0 Batch 1023/1077 - Train Accuracy: 0.6396, Validation Accuracy: 0.6282, Loss: 0.5599
Epoch 0 Batch 1024/1077 - Train Accuracy: 0.6070, Validation Accuracy: 0.6183, Loss: 0.6468
Epoch 0 Batch 1025/1077 - Train Accuracy: 0.6224, Validation Accuracy: 0.6172, Loss: 0.5806
Epoch 0 Batch 1026/1077 - Train Accuracy: 0.6589, Validation Accuracy: 0.6183, Loss: 0.5698
Epoch 0 Batch 1027/1077 - Train Accuracy: 0.5941, Validation Accuracy: 0.6190, Loss: 0.6337
Epoch 0 Batch 1028/1077 - Train Accuracy: 0.6190, Validation Accuracy: 0.6232, Loss: 0.5953
Epoch 0 Batch 1029/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6218, Loss: 0.6071
Epoch 0 Batch 1030/1077 - Train Accuracy: 0.6160, Validation Accuracy: 0.6211, Loss: 0.6114
Epoch 0 Batch 1031/1077 - Train Accuracy: 0.5983, Validation Accuracy: 0.6317, Loss: 0.6398
Epoch 0 Batch 1032/1077 - Train Accuracy: 0.6410, Validation Accuracy: 0.6314, Loss: 0.5960
Epoch 0 Batch 1033/1077 - Train Accuracy: 0.6060, Validation Accuracy: 0.6325, Loss: 0.5789
Epoch 0 Batch 1034/1077 - Train Accuracy: 0.6070, Validation Accuracy: 0.6307, Loss: 0.6241
Epoch 0 Batch 1035/1077 - Train Accuracy: 0.6388, Validation Accuracy: 0.6239, Loss: 0.5592
Epoch 0 Batch 1036/1077 - Train Accuracy: 0.6280, Validation Accuracy: 0.6243, Loss: 0.5944
Epoch 0 Batch 1037/1077 - Train Accuracy: 0.5824, Validation Accuracy: 0.6239, Loss: 0.6398
Epoch 0 Batch 1038/1077 - Train Accuracy: 0.6355, Validation Accuracy: 0.6243, Loss: 0.6075
Epoch 0 Batch 1039/1077 - Train Accuracy: 0.6659, Validation Accuracy: 0.6293, Loss: 0.5721
Epoch 0 Batch 1040/1077 - Train Accuracy: 0.6049, Validation Accuracy: 0.6357, Loss: 0.6348
Epoch 0 Batch 1041/1077 - Train Accuracy: 0.5855, Validation Accuracy: 0.6349, Loss: 0.6223
Epoch 0 Batch 1042/1077 - Train Accuracy: 0.6449, Validation Accuracy: 0.6317, Loss: 0.6120
Epoch 0 Batch 1043/1077 - Train Accuracy: 0.6453, Validation Accuracy: 0.6222, Loss: 0.6037
Epoch 0 Batch 1044/1077 - Train Accuracy: 0.6363, Validation Accuracy: 0.6289, Loss: 0.6095
Epoch 0 Batch 1045/1077 - Train Accuracy: 0.5844, Validation Accuracy: 0.6317, Loss: 0.6266
Epoch 0 Batch 1046/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6172, Loss: 0.5814
Epoch 0 Batch 1047/1077 - Train Accuracy: 0.6352, Validation Accuracy: 0.6229, Loss: 0.5866
Epoch 0 Batch 1048/1077 - Train Accuracy: 0.6223, Validation Accuracy: 0.6236, Loss: 0.6053
Epoch 0 Batch 1049/1077 - Train Accuracy: 0.6348, Validation Accuracy: 0.6246, Loss: 0.6200
Epoch 0 Batch 1050/1077 - Train Accuracy: 0.5617, Validation Accuracy: 0.6271, Loss: 0.6275
Epoch 0 Batch 1051/1077 - Train Accuracy: 0.6484, Validation Accuracy: 0.6278, Loss: 0.5666
Epoch 0 Batch 1052/1077 - Train Accuracy: 0.6637, Validation Accuracy: 0.6264, Loss: 0.5638
Epoch 0 Batch 1053/1077 - Train Accuracy: 0.6295, Validation Accuracy: 0.6246, Loss: 0.5776
Epoch 0 Batch 1054/1077 - Train Accuracy: 0.6152, Validation Accuracy: 0.6225, Loss: 0.5985
Epoch 0 Batch 1055/1077 - Train Accuracy: 0.6398, Validation Accuracy: 0.6207, Loss: 0.5908
Epoch 0 Batch 1056/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6257, Loss: 0.5908
Epoch 0 Batch 1057/1077 - Train Accuracy: 0.5905, Validation Accuracy: 0.6307, Loss: 0.6181
Epoch 0 Batch 1058/1077 - Train Accuracy: 0.6217, Validation Accuracy: 0.6364, Loss: 0.6410
Epoch 0 Batch 1059/1077 - Train Accuracy: 0.5929, Validation Accuracy: 0.6339, Loss: 0.6398
Epoch 0 Batch 1060/1077 - Train Accuracy: 0.6234, Validation Accuracy: 0.6325, Loss: 0.5839
Epoch 0 Batch 1061/1077 - Train Accuracy: 0.6453, Validation Accuracy: 0.6314, Loss: 0.6091
Epoch 0 Batch 1062/1077 - Train Accuracy: 0.6172, Validation Accuracy: 0.6367, Loss: 0.6058
Epoch 0 Batch 1063/1077 - Train Accuracy: 0.6145, Validation Accuracy: 0.6357, Loss: 0.6011
Epoch 0 Batch 1064/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6374, Loss: 0.5999
Epoch 0 Batch 1065/1077 - Train Accuracy: 0.6000, Validation Accuracy: 0.6349, Loss: 0.5970
Epoch 0 Batch 1066/1077 - Train Accuracy: 0.6219, Validation Accuracy: 0.6325, Loss: 0.5771
Epoch 0 Batch 1067/1077 - Train Accuracy: 0.6707, Validation Accuracy: 0.6374, Loss: 0.6114
Epoch 0 Batch 1068/1077 - Train Accuracy: 0.6457, Validation Accuracy: 0.6278, Loss: 0.5722
Epoch 0 Batch 1069/1077 - Train Accuracy: 0.6473, Validation Accuracy: 0.6286, Loss: 0.5469
Epoch 0 Batch 1070/1077 - Train Accuracy: 0.5902, Validation Accuracy: 0.6396, Loss: 0.6135
Epoch 0 Batch 1071/1077 - Train Accuracy: 0.6285, Validation Accuracy: 0.6442, Loss: 0.5895
Epoch 0 Batch 1072/1077 - Train Accuracy: 0.6618, Validation Accuracy: 0.6431, Loss: 0.5618
Epoch 0 Batch 1073/1077 - Train Accuracy: 0.6289, Validation Accuracy: 0.6470, Loss: 0.5985
Epoch 0 Batch 1074/1077 - Train Accuracy: 0.6555, Validation Accuracy: 0.6541, Loss: 0.6163
Epoch 0 Batch 1075/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6474, Loss: 0.6401
Epoch 1 Batch 1/1077 - Train Accuracy: 0.6270, Validation Accuracy: 0.6371, Loss: 0.5826
Epoch 1 Batch 2/1077 - Train Accuracy: 0.6024, Validation Accuracy: 0.6335, Loss: 0.6181
Epoch 1 Batch 3/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6396, Loss: 0.5904
Epoch 1 Batch 4/1077 - Train Accuracy: 0.6266, Validation Accuracy: 0.6374, Loss: 0.5951
Epoch 1 Batch 5/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6321, Loss: 0.6047
Epoch 1 Batch 6/1077 - Train Accuracy: 0.6270, Validation Accuracy: 0.6381, Loss: 0.6073
Epoch 1 Batch 7/1077 - Train Accuracy: 0.5988, Validation Accuracy: 0.6396, Loss: 0.5760
Epoch 1 Batch 8/1077 - Train Accuracy: 0.6059, Validation Accuracy: 0.6328, Loss: 0.5856
Epoch 1 Batch 9/1077 - Train Accuracy: 0.6594, Validation Accuracy: 0.6264, Loss: 0.5816
Epoch 1 Batch 10/1077 - Train Accuracy: 0.6312, Validation Accuracy: 0.6264, Loss: 0.6117
Epoch 1 Batch 11/1077 - Train Accuracy: 0.5938, Validation Accuracy: 0.6239, Loss: 0.5960
Epoch 1 Batch 12/1077 - Train Accuracy: 0.6117, Validation Accuracy: 0.6239, Loss: 0.6075
Epoch 1 Batch 13/1077 - Train Accuracy: 0.6395, Validation Accuracy: 0.6225, Loss: 0.5747
Epoch 1 Batch 14/1077 - Train Accuracy: 0.6391, Validation Accuracy: 0.6296, Loss: 0.5458
Epoch 1 Batch 15/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6293, Loss: 0.5780
Epoch 1 Batch 16/1077 - Train Accuracy: 0.6398, Validation Accuracy: 0.6353, Loss: 0.5890
Epoch 1 Batch 17/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6460, Loss: 0.5836
Epoch 1 Batch 18/1077 - Train Accuracy: 0.6129, Validation Accuracy: 0.6456, Loss: 0.6080
Epoch 1 Batch 19/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6445, Loss: 0.6031
Epoch 1 Batch 20/1077 - Train Accuracy: 0.6137, Validation Accuracy: 0.6499, Loss: 0.5732
Epoch 1 Batch 21/1077 - Train Accuracy: 0.5883, Validation Accuracy: 0.6520, Loss: 0.6179
Epoch 1 Batch 22/1077 - Train Accuracy: 0.6223, Validation Accuracy: 0.6477, Loss: 0.5889
Epoch 1 Batch 23/1077 - Train Accuracy: 0.6234, Validation Accuracy: 0.6516, Loss: 0.5975
Epoch 1 Batch 24/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6431, Loss: 0.5925
Epoch 1 Batch 25/1077 - Train Accuracy: 0.6230, Validation Accuracy: 0.6403, Loss: 0.5652
Epoch 1 Batch 26/1077 - Train Accuracy: 0.6051, Validation Accuracy: 0.6378, Loss: 0.6256
Epoch 1 Batch 27/1077 - Train Accuracy: 0.6771, Validation Accuracy: 0.6410, Loss: 0.5448
Epoch 1 Batch 28/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6371, Loss: 0.5721
Epoch 1 Batch 29/1077 - Train Accuracy: 0.6141, Validation Accuracy: 0.6254, Loss: 0.5624
Epoch 1 Batch 30/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6200, Loss: 0.5876
Epoch 1 Batch 31/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.6222, Loss: 0.5990
Epoch 1 Batch 32/1077 - Train Accuracy: 0.6592, Validation Accuracy: 0.6332, Loss: 0.5663
Epoch 1 Batch 33/1077 - Train Accuracy: 0.6295, Validation Accuracy: 0.6346, Loss: 0.5627
Epoch 1 Batch 34/1077 - Train Accuracy: 0.6426, Validation Accuracy: 0.6353, Loss: 0.5812
Epoch 1 Batch 35/1077 - Train Accuracy: 0.6484, Validation Accuracy: 0.6410, Loss: 0.5977
Epoch 1 Batch 36/1077 - Train Accuracy: 0.6195, Validation Accuracy: 0.6360, Loss: 0.5846
Epoch 1 Batch 37/1077 - Train Accuracy: 0.6270, Validation Accuracy: 0.6353, Loss: 0.5984
Epoch 1 Batch 38/1077 - Train Accuracy: 0.5794, Validation Accuracy: 0.6396, Loss: 0.6410
Epoch 1 Batch 39/1077 - Train Accuracy: 0.6090, Validation Accuracy: 0.6417, Loss: 0.6285
Epoch 1 Batch 40/1077 - Train Accuracy: 0.6375, Validation Accuracy: 0.6435, Loss: 0.5909
Epoch 1 Batch 41/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6367, Loss: 0.5904
Epoch 1 Batch 42/1077 - Train Accuracy: 0.6145, Validation Accuracy: 0.6353, Loss: 0.6080
Epoch 1 Batch 43/1077 - Train Accuracy: 0.6303, Validation Accuracy: 0.6346, Loss: 0.5906
Epoch 1 Batch 44/1077 - Train Accuracy: 0.6114, Validation Accuracy: 0.6317, Loss: 0.6282
Epoch 1 Batch 45/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6374, Loss: 0.5780
Epoch 1 Batch 46/1077 - Train Accuracy: 0.5859, Validation Accuracy: 0.6410, Loss: 0.6180
Epoch 1 Batch 47/1077 - Train Accuracy: 0.6645, Validation Accuracy: 0.6385, Loss: 0.5849
Epoch 1 Batch 48/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6431, Loss: 0.6093
Epoch 1 Batch 49/1077 - Train Accuracy: 0.6231, Validation Accuracy: 0.6463, Loss: 0.5930
Epoch 1 Batch 50/1077 - Train Accuracy: 0.6148, Validation Accuracy: 0.6442, Loss: 0.5855
Epoch 1 Batch 51/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6349, Loss: 0.5562
Epoch 1 Batch 52/1077 - Train Accuracy: 0.5859, Validation Accuracy: 0.6328, Loss: 0.5906
Epoch 1 Batch 53/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6332, Loss: 0.6045
Epoch 1 Batch 54/1077 - Train Accuracy: 0.5906, Validation Accuracy: 0.6346, Loss: 0.6117
Epoch 1 Batch 55/1077 - Train Accuracy: 0.6676, Validation Accuracy: 0.6388, Loss: 0.5716
Epoch 1 Batch 56/1077 - Train Accuracy: 0.6348, Validation Accuracy: 0.6410, Loss: 0.5837
Epoch 1 Batch 57/1077 - Train Accuracy: 0.6605, Validation Accuracy: 0.6463, Loss: 0.5597
Epoch 1 Batch 58/1077 - Train Accuracy: 0.6285, Validation Accuracy: 0.6424, Loss: 0.5787
Epoch 1 Batch 59/1077 - Train Accuracy: 0.6094, Validation Accuracy: 0.6435, Loss: 0.5924
Epoch 1 Batch 60/1077 - Train Accuracy: 0.6365, Validation Accuracy: 0.6403, Loss: 0.5510
Epoch 1 Batch 61/1077 - Train Accuracy: 0.5926, Validation Accuracy: 0.6399, Loss: 0.6154
Epoch 1 Batch 62/1077 - Train Accuracy: 0.6127, Validation Accuracy: 0.6385, Loss: 0.6347
Epoch 1 Batch 63/1077 - Train Accuracy: 0.6685, Validation Accuracy: 0.6385, Loss: 0.5427
Epoch 1 Batch 64/1077 - Train Accuracy: 0.5957, Validation Accuracy: 0.6506, Loss: 0.5766
Epoch 1 Batch 65/1077 - Train Accuracy: 0.6118, Validation Accuracy: 0.6552, Loss: 0.5955
Epoch 1 Batch 66/1077 - Train Accuracy: 0.6019, Validation Accuracy: 0.6570, Loss: 0.5627
Epoch 1 Batch 67/1077 - Train Accuracy: 0.6622, Validation Accuracy: 0.6548, Loss: 0.5557
Epoch 1 Batch 68/1077 - Train Accuracy: 0.6363, Validation Accuracy: 0.6527, Loss: 0.5859
Epoch 1 Batch 69/1077 - Train Accuracy: 0.6578, Validation Accuracy: 0.6481, Loss: 0.6156
Epoch 1 Batch 70/1077 - Train Accuracy: 0.6213, Validation Accuracy: 0.6516, Loss: 0.5913
Epoch 1 Batch 71/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6467, Loss: 0.5735
Epoch 1 Batch 72/1077 - Train Accuracy: 0.6426, Validation Accuracy: 0.6371, Loss: 0.5765
Epoch 1 Batch 73/1077 - Train Accuracy: 0.6281, Validation Accuracy: 0.6381, Loss: 0.5977
Epoch 1 Batch 74/1077 - Train Accuracy: 0.6217, Validation Accuracy: 0.6420, Loss: 0.5423
Epoch 1 Batch 75/1077 - Train Accuracy: 0.6434, Validation Accuracy: 0.6424, Loss: 0.5921
Epoch 1 Batch 76/1077 - Train Accuracy: 0.6332, Validation Accuracy: 0.6381, Loss: 0.5544
Epoch 1 Batch 77/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6381, Loss: 0.5738
Epoch 1 Batch 78/1077 - Train Accuracy: 0.6221, Validation Accuracy: 0.6420, Loss: 0.5909
Epoch 1 Batch 79/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6484, Loss: 0.5829
Epoch 1 Batch 80/1077 - Train Accuracy: 0.6496, Validation Accuracy: 0.6481, Loss: 0.5882
Epoch 1 Batch 81/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.6502, Loss: 0.5687
Epoch 1 Batch 82/1077 - Train Accuracy: 0.6868, Validation Accuracy: 0.6516, Loss: 0.5057
Epoch 1 Batch 83/1077 - Train Accuracy: 0.6061, Validation Accuracy: 0.6534, Loss: 0.6205
Epoch 1 Batch 84/1077 - Train Accuracy: 0.6344, Validation Accuracy: 0.6520, Loss: 0.5720
Epoch 1 Batch 85/1077 - Train Accuracy: 0.6516, Validation Accuracy: 0.6531, Loss: 0.5584
Epoch 1 Batch 86/1077 - Train Accuracy: 0.6543, Validation Accuracy: 0.6513, Loss: 0.5709
Epoch 1 Batch 87/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6520, Loss: 0.5890
Epoch 1 Batch 88/1077 - Train Accuracy: 0.6738, Validation Accuracy: 0.6474, Loss: 0.5838
Epoch 1 Batch 89/1077 - Train Accuracy: 0.6203, Validation Accuracy: 0.6456, Loss: 0.5649
Epoch 1 Batch 90/1077 - Train Accuracy: 0.6258, Validation Accuracy: 0.6467, Loss: 0.5947
Epoch 1 Batch 91/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6431, Loss: 0.5248
Epoch 1 Batch 92/1077 - Train Accuracy: 0.6350, Validation Accuracy: 0.6435, Loss: 0.5688
Epoch 1 Batch 93/1077 - Train Accuracy: 0.6188, Validation Accuracy: 0.6431, Loss: 0.6012
Epoch 1 Batch 94/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.6435, Loss: 0.5377
Epoch 1 Batch 95/1077 - Train Accuracy: 0.6202, Validation Accuracy: 0.6399, Loss: 0.6271
Epoch 1 Batch 96/1077 - Train Accuracy: 0.6176, Validation Accuracy: 0.6410, Loss: 0.5631
Epoch 1 Batch 97/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6488, Loss: 0.5662
Epoch 1 Batch 98/1077 - Train Accuracy: 0.6801, Validation Accuracy: 0.6499, Loss: 0.5455
Epoch 1 Batch 99/1077 - Train Accuracy: 0.6332, Validation Accuracy: 0.6545, Loss: 0.6002
Epoch 1 Batch 100/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6488, Loss: 0.6007
Epoch 1 Batch 101/1077 - Train Accuracy: 0.6320, Validation Accuracy: 0.6481, Loss: 0.5742
Epoch 1 Batch 102/1077 - Train Accuracy: 0.6660, Validation Accuracy: 0.6474, Loss: 0.5811
Epoch 1 Batch 103/1077 - Train Accuracy: 0.6139, Validation Accuracy: 0.6495, Loss: 0.6324
Epoch 1 Batch 104/1077 - Train Accuracy: 0.5785, Validation Accuracy: 0.6488, Loss: 0.6035
Epoch 1 Batch 105/1077 - Train Accuracy: 0.6301, Validation Accuracy: 0.6442, Loss: 0.5940
Epoch 1 Batch 106/1077 - Train Accuracy: 0.6110, Validation Accuracy: 0.6552, Loss: 0.6390
Epoch 1 Batch 107/1077 - Train Accuracy: 0.6213, Validation Accuracy: 0.6495, Loss: 0.5502
Epoch 1 Batch 108/1077 - Train Accuracy: 0.6673, Validation Accuracy: 0.6481, Loss: 0.5218
Epoch 1 Batch 109/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6491, Loss: 0.5795
Epoch 1 Batch 110/1077 - Train Accuracy: 0.6492, Validation Accuracy: 0.6470, Loss: 0.5522
Epoch 1 Batch 111/1077 - Train Accuracy: 0.6363, Validation Accuracy: 0.6456, Loss: 0.5887
Epoch 1 Batch 112/1077 - Train Accuracy: 0.6375, Validation Accuracy: 0.6481, Loss: 0.5832
Epoch 1 Batch 113/1077 - Train Accuracy: 0.5883, Validation Accuracy: 0.6484, Loss: 0.5873
Epoch 1 Batch 114/1077 - Train Accuracy: 0.6443, Validation Accuracy: 0.6502, Loss: 0.5374
Epoch 1 Batch 115/1077 - Train Accuracy: 0.6547, Validation Accuracy: 0.6491, Loss: 0.5795
Epoch 1 Batch 116/1077 - Train Accuracy: 0.5758, Validation Accuracy: 0.6516, Loss: 0.5952
Epoch 1 Batch 117/1077 - Train Accuracy: 0.5871, Validation Accuracy: 0.6499, Loss: 0.5852
Epoch 1 Batch 118/1077 - Train Accuracy: 0.6032, Validation Accuracy: 0.6488, Loss: 0.6110
Epoch 1 Batch 119/1077 - Train Accuracy: 0.6492, Validation Accuracy: 0.6477, Loss: 0.5676
Epoch 1 Batch 120/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.6548, Loss: 0.6001
Epoch 1 Batch 121/1077 - Train Accuracy: 0.6535, Validation Accuracy: 0.6587, Loss: 0.5744
Epoch 1 Batch 122/1077 - Train Accuracy: 0.6379, Validation Accuracy: 0.6591, Loss: 0.5734
Epoch 1 Batch 123/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6570, Loss: 0.5464
Epoch 1 Batch 124/1077 - Train Accuracy: 0.6172, Validation Accuracy: 0.6541, Loss: 0.6118
Epoch 1 Batch 125/1077 - Train Accuracy: 0.6447, Validation Accuracy: 0.6467, Loss: 0.5694
Epoch 1 Batch 126/1077 - Train Accuracy: 0.6585, Validation Accuracy: 0.6410, Loss: 0.5470
Epoch 1 Batch 127/1077 - Train Accuracy: 0.6242, Validation Accuracy: 0.6424, Loss: 0.5587
Epoch 1 Batch 128/1077 - Train Accuracy: 0.6585, Validation Accuracy: 0.6452, Loss: 0.5465
Epoch 1 Batch 129/1077 - Train Accuracy: 0.6586, Validation Accuracy: 0.6381, Loss: 0.5600
Epoch 1 Batch 130/1077 - Train Accuracy: 0.6280, Validation Accuracy: 0.6371, Loss: 0.5441
Epoch 1 Batch 131/1077 - Train Accuracy: 0.6289, Validation Accuracy: 0.6420, Loss: 0.5768
Epoch 1 Batch 132/1077 - Train Accuracy: 0.6219, Validation Accuracy: 0.6321, Loss: 0.5940
Epoch 1 Batch 133/1077 - Train Accuracy: 0.6024, Validation Accuracy: 0.6264, Loss: 0.5981
Epoch 1 Batch 134/1077 - Train Accuracy: 0.6373, Validation Accuracy: 0.6023, Loss: 0.5318
Epoch 1 Batch 135/1077 - Train Accuracy: 0.6180, Validation Accuracy: 0.6072, Loss: 0.5916
Epoch 1 Batch 136/1077 - Train Accuracy: 0.6309, Validation Accuracy: 0.6364, Loss: 0.5683
Epoch 1 Batch 137/1077 - Train Accuracy: 0.6931, Validation Accuracy: 0.6364, Loss: 0.5186
Epoch 1 Batch 138/1077 - Train Accuracy: 0.6352, Validation Accuracy: 0.6346, Loss: 0.5754
Epoch 1 Batch 139/1077 - Train Accuracy: 0.6445, Validation Accuracy: 0.6346, Loss: 0.5732
Epoch 1 Batch 140/1077 - Train Accuracy: 0.6118, Validation Accuracy: 0.6378, Loss: 0.5965
Epoch 1 Batch 141/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6385, Loss: 0.5722
Epoch 1 Batch 142/1077 - Train Accuracy: 0.6388, Validation Accuracy: 0.6349, Loss: 0.5416
Epoch 1 Batch 143/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6388, Loss: 0.5802
Epoch 1 Batch 144/1077 - Train Accuracy: 0.6049, Validation Accuracy: 0.6367, Loss: 0.6093
Epoch 1 Batch 145/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.6364, Loss: 0.5690
Epoch 1 Batch 146/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6346, Loss: 0.5925
Epoch 1 Batch 147/1077 - Train Accuracy: 0.6297, Validation Accuracy: 0.6424, Loss: 0.5863
Epoch 1 Batch 148/1077 - Train Accuracy: 0.6301, Validation Accuracy: 0.6488, Loss: 0.5771
Epoch 1 Batch 149/1077 - Train Accuracy: 0.6195, Validation Accuracy: 0.6502, Loss: 0.5711
Epoch 1 Batch 150/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6520, Loss: 0.5452
Epoch 1 Batch 151/1077 - Train Accuracy: 0.6466, Validation Accuracy: 0.6410, Loss: 0.5384
Epoch 1 Batch 152/1077 - Train Accuracy: 0.6660, Validation Accuracy: 0.6460, Loss: 0.5612
Epoch 1 Batch 153/1077 - Train Accuracy: 0.6328, Validation Accuracy: 0.6477, Loss: 0.5893
Epoch 1 Batch 154/1077 - Train Accuracy: 0.6160, Validation Accuracy: 0.6435, Loss: 0.5880
Epoch 1 Batch 155/1077 - Train Accuracy: 0.6605, Validation Accuracy: 0.6413, Loss: 0.5747
Epoch 1 Batch 156/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6431, Loss: 0.5691
Epoch 1 Batch 157/1077 - Train Accuracy: 0.6586, Validation Accuracy: 0.6435, Loss: 0.5573
Epoch 1 Batch 158/1077 - Train Accuracy: 0.6566, Validation Accuracy: 0.6452, Loss: 0.5619
Epoch 1 Batch 159/1077 - Train Accuracy: 0.6458, Validation Accuracy: 0.6484, Loss: 0.5168
Epoch 1 Batch 160/1077 - Train Accuracy: 0.6594, Validation Accuracy: 0.6491, Loss: 0.5578
Epoch 1 Batch 161/1077 - Train Accuracy: 0.6512, Validation Accuracy: 0.6470, Loss: 0.5772
Epoch 1 Batch 162/1077 - Train Accuracy: 0.6379, Validation Accuracy: 0.6474, Loss: 0.6034
Epoch 1 Batch 163/1077 - Train Accuracy: 0.6287, Validation Accuracy: 0.6477, Loss: 0.6084
Epoch 1 Batch 164/1077 - Train Accuracy: 0.6504, Validation Accuracy: 0.6463, Loss: 0.5849
Epoch 1 Batch 165/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6484, Loss: 0.5552
Epoch 1 Batch 166/1077 - Train Accuracy: 0.6637, Validation Accuracy: 0.6484, Loss: 0.5683
Epoch 1 Batch 167/1077 - Train Accuracy: 0.6539, Validation Accuracy: 0.6559, Loss: 0.5866
Epoch 1 Batch 168/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6495, Loss: 0.5903
Epoch 1 Batch 169/1077 - Train Accuracy: 0.6670, Validation Accuracy: 0.6520, Loss: 0.5583
Epoch 1 Batch 170/1077 - Train Accuracy: 0.6199, Validation Accuracy: 0.6499, Loss: 0.6020
Epoch 1 Batch 171/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6481, Loss: 0.5263
Epoch 1 Batch 172/1077 - Train Accuracy: 0.6503, Validation Accuracy: 0.6445, Loss: 0.5264
Epoch 1 Batch 173/1077 - Train Accuracy: 0.5917, Validation Accuracy: 0.6449, Loss: 0.6119
Epoch 1 Batch 174/1077 - Train Accuracy: 0.6840, Validation Accuracy: 0.6513, Loss: 0.5723
Epoch 1 Batch 175/1077 - Train Accuracy: 0.6547, Validation Accuracy: 0.6559, Loss: 0.5604
Epoch 1 Batch 176/1077 - Train Accuracy: 0.6016, Validation Accuracy: 0.6534, Loss: 0.5797
Epoch 1 Batch 177/1077 - Train Accuracy: 0.6493, Validation Accuracy: 0.6541, Loss: 0.6001
Epoch 1 Batch 178/1077 - Train Accuracy: 0.6297, Validation Accuracy: 0.6442, Loss: 0.5864
Epoch 1 Batch 179/1077 - Train Accuracy: 0.6390, Validation Accuracy: 0.6445, Loss: 0.5881
Epoch 1 Batch 180/1077 - Train Accuracy: 0.6223, Validation Accuracy: 0.6417, Loss: 0.5648
Epoch 1 Batch 181/1077 - Train Accuracy: 0.6168, Validation Accuracy: 0.6374, Loss: 0.5798
Epoch 1 Batch 182/1077 - Train Accuracy: 0.6269, Validation Accuracy: 0.6303, Loss: 0.5699
Epoch 1 Batch 183/1077 - Train Accuracy: 0.6223, Validation Accuracy: 0.6286, Loss: 0.5810
Epoch 1 Batch 184/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.6385, Loss: 0.5596
Epoch 1 Batch 185/1077 - Train Accuracy: 0.6102, Validation Accuracy: 0.6396, Loss: 0.5867
Epoch 1 Batch 186/1077 - Train Accuracy: 0.6468, Validation Accuracy: 0.6364, Loss: 0.5857
Epoch 1 Batch 187/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6357, Loss: 0.5638
Epoch 1 Batch 188/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6385, Loss: 0.5947
Epoch 1 Batch 189/1077 - Train Accuracy: 0.6438, Validation Accuracy: 0.6463, Loss: 0.5673
Epoch 1 Batch 190/1077 - Train Accuracy: 0.6676, Validation Accuracy: 0.6456, Loss: 0.5574
Epoch 1 Batch 191/1077 - Train Accuracy: 0.6662, Validation Accuracy: 0.6502, Loss: 0.5092
Epoch 1 Batch 192/1077 - Train Accuracy: 0.6668, Validation Accuracy: 0.6499, Loss: 0.5784
Epoch 1 Batch 193/1077 - Train Accuracy: 0.6434, Validation Accuracy: 0.6502, Loss: 0.5407
Epoch 1 Batch 194/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6580, Loss: 0.5358
Epoch 1 Batch 195/1077 - Train Accuracy: 0.6254, Validation Accuracy: 0.6605, Loss: 0.5586
Epoch 1 Batch 196/1077 - Train Accuracy: 0.6746, Validation Accuracy: 0.6619, Loss: 0.5436
Epoch 1 Batch 197/1077 - Train Accuracy: 0.6375, Validation Accuracy: 0.6655, Loss: 0.5645
Epoch 1 Batch 198/1077 - Train Accuracy: 0.6875, Validation Accuracy: 0.6690, Loss: 0.5244
Epoch 1 Batch 199/1077 - Train Accuracy: 0.6441, Validation Accuracy: 0.6644, Loss: 0.5363
Epoch 1 Batch 200/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.6619, Loss: 0.5751
Epoch 1 Batch 201/1077 - Train Accuracy: 0.6398, Validation Accuracy: 0.6598, Loss: 0.5371
Epoch 1 Batch 202/1077 - Train Accuracy: 0.6687, Validation Accuracy: 0.6609, Loss: 0.5741
Epoch 1 Batch 203/1077 - Train Accuracy: 0.6266, Validation Accuracy: 0.6545, Loss: 0.5508
Epoch 1 Batch 204/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6527, Loss: 0.5906
Epoch 1 Batch 205/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.6438, Loss: 0.5641
Epoch 1 Batch 206/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6499, Loss: 0.5506
Epoch 1 Batch 207/1077 - Train Accuracy: 0.6082, Validation Accuracy: 0.6449, Loss: 0.5705
Epoch 1 Batch 208/1077 - Train Accuracy: 0.6425, Validation Accuracy: 0.6491, Loss: 0.5584
Epoch 1 Batch 209/1077 - Train Accuracy: 0.6477, Validation Accuracy: 0.6538, Loss: 0.5283
Epoch 1 Batch 210/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6538, Loss: 0.5410
Epoch 1 Batch 211/1077 - Train Accuracy: 0.6254, Validation Accuracy: 0.6509, Loss: 0.5484
Epoch 1 Batch 212/1077 - Train Accuracy: 0.6488, Validation Accuracy: 0.6523, Loss: 0.5335
Epoch 1 Batch 213/1077 - Train Accuracy: 0.6645, Validation Accuracy: 0.6545, Loss: 0.5169
Epoch 1 Batch 214/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.6552, Loss: 0.5533
Epoch 1 Batch 215/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6605, Loss: 0.5693
Epoch 1 Batch 216/1077 - Train Accuracy: 0.6340, Validation Accuracy: 0.6616, Loss: 0.5805
Epoch 1 Batch 217/1077 - Train Accuracy: 0.6703, Validation Accuracy: 0.6616, Loss: 0.5473
Epoch 1 Batch 218/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6566, Loss: 0.6061
Epoch 1 Batch 219/1077 - Train Accuracy: 0.6820, Validation Accuracy: 0.6456, Loss: 0.5404
Epoch 1 Batch 220/1077 - Train Accuracy: 0.6357, Validation Accuracy: 0.6612, Loss: 0.5682
Epoch 1 Batch 221/1077 - Train Accuracy: 0.6809, Validation Accuracy: 0.6637, Loss: 0.5917
Epoch 1 Batch 222/1077 - Train Accuracy: 0.5949, Validation Accuracy: 0.6594, Loss: 0.5763
Epoch 1 Batch 223/1077 - Train Accuracy: 0.6510, Validation Accuracy: 0.6626, Loss: 0.5185
Epoch 1 Batch 224/1077 - Train Accuracy: 0.6398, Validation Accuracy: 0.6623, Loss: 0.5575
Epoch 1 Batch 225/1077 - Train Accuracy: 0.6438, Validation Accuracy: 0.6616, Loss: 0.5660
Epoch 1 Batch 226/1077 - Train Accuracy: 0.6535, Validation Accuracy: 0.6641, Loss: 0.5627
Epoch 1 Batch 227/1077 - Train Accuracy: 0.5891, Validation Accuracy: 0.6609, Loss: 0.6181
Epoch 1 Batch 228/1077 - Train Accuracy: 0.6738, Validation Accuracy: 0.6566, Loss: 0.5313
Epoch 1 Batch 229/1077 - Train Accuracy: 0.6738, Validation Accuracy: 0.6513, Loss: 0.5585
Epoch 1 Batch 230/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6506, Loss: 0.5479
Epoch 1 Batch 231/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6499, Loss: 0.5862
Epoch 1 Batch 232/1077 - Train Accuracy: 0.6369, Validation Accuracy: 0.6513, Loss: 0.5905
Epoch 1 Batch 233/1077 - Train Accuracy: 0.6410, Validation Accuracy: 0.6484, Loss: 0.5850
Epoch 1 Batch 234/1077 - Train Accuracy: 0.6726, Validation Accuracy: 0.6523, Loss: 0.5635
Epoch 1 Batch 235/1077 - Train Accuracy: 0.6819, Validation Accuracy: 0.6481, Loss: 0.5195
Epoch 1 Batch 236/1077 - Train Accuracy: 0.6129, Validation Accuracy: 0.6534, Loss: 0.5746
Epoch 1 Batch 237/1077 - Train Accuracy: 0.6529, Validation Accuracy: 0.6541, Loss: 0.5404
Epoch 1 Batch 238/1077 - Train Accuracy: 0.6566, Validation Accuracy: 0.6555, Loss: 0.5742
Epoch 1 Batch 239/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6562, Loss: 0.5066
Epoch 1 Batch 240/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6534, Loss: 0.5418
Epoch 1 Batch 241/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6552, Loss: 0.5087
Epoch 1 Batch 242/1077 - Train Accuracy: 0.6082, Validation Accuracy: 0.6502, Loss: 0.5584
Epoch 1 Batch 243/1077 - Train Accuracy: 0.5824, Validation Accuracy: 0.6488, Loss: 0.5958
Epoch 1 Batch 244/1077 - Train Accuracy: 0.6765, Validation Accuracy: 0.6474, Loss: 0.5368
Epoch 1 Batch 245/1077 - Train Accuracy: 0.6533, Validation Accuracy: 0.6488, Loss: 0.5268
Epoch 1 Batch 246/1077 - Train Accuracy: 0.6414, Validation Accuracy: 0.6456, Loss: 0.5529
Epoch 1 Batch 247/1077 - Train Accuracy: 0.6685, Validation Accuracy: 0.6449, Loss: 0.5210
Epoch 1 Batch 248/1077 - Train Accuracy: 0.6645, Validation Accuracy: 0.6470, Loss: 0.5546
Epoch 1 Batch 249/1077 - Train Accuracy: 0.6715, Validation Accuracy: 0.6548, Loss: 0.5487
Epoch 1 Batch 250/1077 - Train Accuracy: 0.6481, Validation Accuracy: 0.6648, Loss: 0.5079
Epoch 1 Batch 251/1077 - Train Accuracy: 0.6354, Validation Accuracy: 0.6552, Loss: 0.5528
Epoch 1 Batch 252/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6545, Loss: 0.5609
Epoch 1 Batch 253/1077 - Train Accuracy: 0.6541, Validation Accuracy: 0.6559, Loss: 0.5366
Epoch 1 Batch 254/1077 - Train Accuracy: 0.6492, Validation Accuracy: 0.6594, Loss: 0.5574
Epoch 1 Batch 255/1077 - Train Accuracy: 0.6500, Validation Accuracy: 0.6559, Loss: 0.5584
Epoch 1 Batch 256/1077 - Train Accuracy: 0.6262, Validation Accuracy: 0.6552, Loss: 0.5876
Epoch 1 Batch 257/1077 - Train Accuracy: 0.6875, Validation Accuracy: 0.6591, Loss: 0.5321
Epoch 1 Batch 258/1077 - Train Accuracy: 0.6726, Validation Accuracy: 0.6594, Loss: 0.5326
Epoch 1 Batch 259/1077 - Train Accuracy: 0.6473, Validation Accuracy: 0.6587, Loss: 0.5491
Epoch 1 Batch 260/1077 - Train Accuracy: 0.6533, Validation Accuracy: 0.6577, Loss: 0.5121
Epoch 1 Batch 261/1077 - Train Accuracy: 0.6399, Validation Accuracy: 0.6538, Loss: 0.5449
Epoch 1 Batch 262/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6513, Loss: 0.5575
Epoch 1 Batch 263/1077 - Train Accuracy: 0.6695, Validation Accuracy: 0.6523, Loss: 0.5440
Epoch 1 Batch 264/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6545, Loss: 0.5537
Epoch 1 Batch 265/1077 - Train Accuracy: 0.6074, Validation Accuracy: 0.6534, Loss: 0.5652
Epoch 1 Batch 266/1077 - Train Accuracy: 0.6734, Validation Accuracy: 0.6555, Loss: 0.5123
Epoch 1 Batch 267/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6594, Loss: 0.5193
Epoch 1 Batch 268/1077 - Train Accuracy: 0.6598, Validation Accuracy: 0.6570, Loss: 0.5633
Epoch 1 Batch 269/1077 - Train Accuracy: 0.6094, Validation Accuracy: 0.6594, Loss: 0.5773
Epoch 1 Batch 270/1077 - Train Accuracy: 0.6020, Validation Accuracy: 0.6655, Loss: 0.5659
Epoch 1 Batch 271/1077 - Train Accuracy: 0.6512, Validation Accuracy: 0.6641, Loss: 0.5466
Epoch 1 Batch 272/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6602, Loss: 0.5991
Epoch 1 Batch 273/1077 - Train Accuracy: 0.6399, Validation Accuracy: 0.6545, Loss: 0.5399
Epoch 1 Batch 274/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6552, Loss: 0.5373
Epoch 1 Batch 275/1077 - Train Accuracy: 0.6369, Validation Accuracy: 0.6541, Loss: 0.5361
Epoch 1 Batch 276/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6527, Loss: 0.5831
Epoch 1 Batch 277/1077 - Train Accuracy: 0.6310, Validation Accuracy: 0.6545, Loss: 0.5161
Epoch 1 Batch 278/1077 - Train Accuracy: 0.6379, Validation Accuracy: 0.6566, Loss: 0.5890
Epoch 1 Batch 279/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6548, Loss: 0.5853
Epoch 1 Batch 280/1077 - Train Accuracy: 0.6598, Validation Accuracy: 0.6566, Loss: 0.5727
Epoch 1 Batch 281/1077 - Train Accuracy: 0.6312, Validation Accuracy: 0.6577, Loss: 0.5648
Epoch 1 Batch 282/1077 - Train Accuracy: 0.6113, Validation Accuracy: 0.6637, Loss: 0.5856
Epoch 1 Batch 283/1077 - Train Accuracy: 0.6605, Validation Accuracy: 0.6605, Loss: 0.5543
Epoch 1 Batch 284/1077 - Train Accuracy: 0.6465, Validation Accuracy: 0.6602, Loss: 0.5938
Epoch 1 Batch 285/1077 - Train Accuracy: 0.6912, Validation Accuracy: 0.6605, Loss: 0.5297
Epoch 1 Batch 286/1077 - Train Accuracy: 0.6894, Validation Accuracy: 0.6651, Loss: 0.5163
Epoch 1 Batch 287/1077 - Train Accuracy: 0.6551, Validation Accuracy: 0.6662, Loss: 0.5496
Epoch 1 Batch 288/1077 - Train Accuracy: 0.6301, Validation Accuracy: 0.6630, Loss: 0.5605
Epoch 1 Batch 289/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6616, Loss: 0.5568
Epoch 1 Batch 290/1077 - Train Accuracy: 0.6191, Validation Accuracy: 0.6630, Loss: 0.5858
Epoch 1 Batch 291/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6598, Loss: 0.5481
Epoch 1 Batch 292/1077 - Train Accuracy: 0.6775, Validation Accuracy: 0.6634, Loss: 0.5291
Epoch 1 Batch 293/1077 - Train Accuracy: 0.6270, Validation Accuracy: 0.6587, Loss: 0.5744
Epoch 1 Batch 294/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6570, Loss: 0.5214
Epoch 1 Batch 295/1077 - Train Accuracy: 0.6731, Validation Accuracy: 0.6598, Loss: 0.5958
Epoch 1 Batch 296/1077 - Train Accuracy: 0.6458, Validation Accuracy: 0.6594, Loss: 0.5346
Epoch 1 Batch 297/1077 - Train Accuracy: 0.6195, Validation Accuracy: 0.6662, Loss: 0.5898
Epoch 1 Batch 298/1077 - Train Accuracy: 0.6324, Validation Accuracy: 0.6648, Loss: 0.5897
Epoch 1 Batch 299/1077 - Train Accuracy: 0.6668, Validation Accuracy: 0.6598, Loss: 0.5319
Epoch 1 Batch 300/1077 - Train Accuracy: 0.6484, Validation Accuracy: 0.6612, Loss: 0.5558
Epoch 1 Batch 301/1077 - Train Accuracy: 0.6508, Validation Accuracy: 0.6573, Loss: 0.5405
Epoch 1 Batch 302/1077 - Train Accuracy: 0.6848, Validation Accuracy: 0.6602, Loss: 0.5462
Epoch 1 Batch 303/1077 - Train Accuracy: 0.6277, Validation Accuracy: 0.6602, Loss: 0.5619
Epoch 1 Batch 304/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6584, Loss: 0.5062
Epoch 1 Batch 305/1077 - Train Accuracy: 0.6668, Validation Accuracy: 0.6580, Loss: 0.5322
Epoch 1 Batch 306/1077 - Train Accuracy: 0.6484, Validation Accuracy: 0.6584, Loss: 0.5274
Epoch 1 Batch 307/1077 - Train Accuracy: 0.6321, Validation Accuracy: 0.6577, Loss: 0.5390
Epoch 1 Batch 308/1077 - Train Accuracy: 0.6191, Validation Accuracy: 0.6562, Loss: 0.5885
Epoch 1 Batch 309/1077 - Train Accuracy: 0.6749, Validation Accuracy: 0.6623, Loss: 0.5018
Epoch 1 Batch 310/1077 - Train Accuracy: 0.6238, Validation Accuracy: 0.6641, Loss: 0.5636
Epoch 1 Batch 311/1077 - Train Accuracy: 0.6886, Validation Accuracy: 0.6598, Loss: 0.5223
Epoch 1 Batch 312/1077 - Train Accuracy: 0.6539, Validation Accuracy: 0.6584, Loss: 0.5836
Epoch 1 Batch 313/1077 - Train Accuracy: 0.6430, Validation Accuracy: 0.6566, Loss: 0.5340
Epoch 1 Batch 314/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6545, Loss: 0.5409
Epoch 1 Batch 315/1077 - Train Accuracy: 0.6536, Validation Accuracy: 0.6612, Loss: 0.5282
Epoch 1 Batch 316/1077 - Train Accuracy: 0.6678, Validation Accuracy: 0.6573, Loss: 0.5136
Epoch 1 Batch 317/1077 - Train Accuracy: 0.6706, Validation Accuracy: 0.6555, Loss: 0.5882
Epoch 1 Batch 318/1077 - Train Accuracy: 0.6449, Validation Accuracy: 0.6559, Loss: 0.5484
Epoch 1 Batch 319/1077 - Train Accuracy: 0.6516, Validation Accuracy: 0.6566, Loss: 0.5533
Epoch 1 Batch 320/1077 - Train Accuracy: 0.6633, Validation Accuracy: 0.6587, Loss: 0.5409
Epoch 1 Batch 321/1077 - Train Accuracy: 0.6660, Validation Accuracy: 0.6616, Loss: 0.5405
Epoch 1 Batch 322/1077 - Train Accuracy: 0.6205, Validation Accuracy: 0.6651, Loss: 0.5208
Epoch 1 Batch 323/1077 - Train Accuracy: 0.6539, Validation Accuracy: 0.6694, Loss: 0.5536
Epoch 1 Batch 324/1077 - Train Accuracy: 0.6641, Validation Accuracy: 0.6598, Loss: 0.5448
Epoch 1 Batch 325/1077 - Train Accuracy: 0.6864, Validation Accuracy: 0.6598, Loss: 0.5248
Epoch 1 Batch 326/1077 - Train Accuracy: 0.6745, Validation Accuracy: 0.6580, Loss: 0.5171
Epoch 1 Batch 327/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6609, Loss: 0.5689
Epoch 1 Batch 328/1077 - Train Accuracy: 0.6696, Validation Accuracy: 0.6598, Loss: 0.5415
Epoch 1 Batch 329/1077 - Train Accuracy: 0.6211, Validation Accuracy: 0.6587, Loss: 0.5791
Epoch 1 Batch 330/1077 - Train Accuracy: 0.6785, Validation Accuracy: 0.6566, Loss: 0.5489
Epoch 1 Batch 331/1077 - Train Accuracy: 0.6530, Validation Accuracy: 0.6548, Loss: 0.5447
Epoch 1 Batch 332/1077 - Train Accuracy: 0.6425, Validation Accuracy: 0.6566, Loss: 0.5113
Epoch 1 Batch 333/1077 - Train Accuracy: 0.6591, Validation Accuracy: 0.6541, Loss: 0.5616
Epoch 1 Batch 334/1077 - Train Accuracy: 0.6285, Validation Accuracy: 0.6491, Loss: 0.5209
Epoch 1 Batch 335/1077 - Train Accuracy: 0.6812, Validation Accuracy: 0.6573, Loss: 0.5240
Epoch 1 Batch 336/1077 - Train Accuracy: 0.6414, Validation Accuracy: 0.6534, Loss: 0.5735
Epoch 1 Batch 337/1077 - Train Accuracy: 0.6371, Validation Accuracy: 0.6548, Loss: 0.5546
Epoch 1 Batch 338/1077 - Train Accuracy: 0.6684, Validation Accuracy: 0.6623, Loss: 0.5738
Epoch 1 Batch 339/1077 - Train Accuracy: 0.6676, Validation Accuracy: 0.6580, Loss: 0.5268
Epoch 1 Batch 340/1077 - Train Accuracy: 0.6414, Validation Accuracy: 0.6680, Loss: 0.5478
Epoch 1 Batch 341/1077 - Train Accuracy: 0.6684, Validation Accuracy: 0.6616, Loss: 0.5851
Epoch 1 Batch 342/1077 - Train Accuracy: 0.6622, Validation Accuracy: 0.6577, Loss: 0.5208
Epoch 1 Batch 343/1077 - Train Accuracy: 0.6234, Validation Accuracy: 0.6587, Loss: 0.5604
Epoch 1 Batch 344/1077 - Train Accuracy: 0.6762, Validation Accuracy: 0.6605, Loss: 0.5449
Epoch 1 Batch 345/1077 - Train Accuracy: 0.6711, Validation Accuracy: 0.6598, Loss: 0.5149
Epoch 1 Batch 346/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6619, Loss: 0.5531
Epoch 1 Batch 347/1077 - Train Accuracy: 0.6540, Validation Accuracy: 0.6605, Loss: 0.5111
Epoch 1 Batch 348/1077 - Train Accuracy: 0.6388, Validation Accuracy: 0.6594, Loss: 0.5276
Epoch 1 Batch 349/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6587, Loss: 0.5267
Epoch 1 Batch 350/1077 - Train Accuracy: 0.6207, Validation Accuracy: 0.6491, Loss: 0.5651
Epoch 1 Batch 351/1077 - Train Accuracy: 0.6184, Validation Accuracy: 0.6424, Loss: 0.5576
Epoch 1 Batch 352/1077 - Train Accuracy: 0.6113, Validation Accuracy: 0.6460, Loss: 0.5527
Epoch 1 Batch 353/1077 - Train Accuracy: 0.6661, Validation Accuracy: 0.6630, Loss: 0.5972
Epoch 1 Batch 354/1077 - Train Accuracy: 0.6441, Validation Accuracy: 0.6665, Loss: 0.5592
Epoch 1 Batch 355/1077 - Train Accuracy: 0.6447, Validation Accuracy: 0.6676, Loss: 0.5387
Epoch 1 Batch 356/1077 - Train Accuracy: 0.6391, Validation Accuracy: 0.6648, Loss: 0.5515
Epoch 1 Batch 357/1077 - Train Accuracy: 0.6581, Validation Accuracy: 0.6619, Loss: 0.5135
Epoch 1 Batch 358/1077 - Train Accuracy: 0.6213, Validation Accuracy: 0.6602, Loss: 0.5727
Epoch 1 Batch 359/1077 - Train Accuracy: 0.6656, Validation Accuracy: 0.6648, Loss: 0.5463
Epoch 1 Batch 360/1077 - Train Accuracy: 0.6375, Validation Accuracy: 0.6644, Loss: 0.5468
Epoch 1 Batch 361/1077 - Train Accuracy: 0.6554, Validation Accuracy: 0.6641, Loss: 0.5721
Epoch 1 Batch 362/1077 - Train Accuracy: 0.6726, Validation Accuracy: 0.6612, Loss: 0.5443
Epoch 1 Batch 363/1077 - Train Accuracy: 0.6180, Validation Accuracy: 0.6591, Loss: 0.5383
Epoch 1 Batch 364/1077 - Train Accuracy: 0.6770, Validation Accuracy: 0.6562, Loss: 0.5564
Epoch 1 Batch 365/1077 - Train Accuracy: 0.6098, Validation Accuracy: 0.6591, Loss: 0.5343
Epoch 1 Batch 366/1077 - Train Accuracy: 0.6293, Validation Accuracy: 0.6598, Loss: 0.5478
Epoch 1 Batch 367/1077 - Train Accuracy: 0.6786, Validation Accuracy: 0.6609, Loss: 0.4853
Epoch 1 Batch 368/1077 - Train Accuracy: 0.6977, Validation Accuracy: 0.6598, Loss: 0.5330
Epoch 1 Batch 369/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6570, Loss: 0.5258
Epoch 1 Batch 370/1077 - Train Accuracy: 0.6522, Validation Accuracy: 0.6559, Loss: 0.5205
Epoch 1 Batch 371/1077 - Train Accuracy: 0.6617, Validation Accuracy: 0.6513, Loss: 0.5313
Epoch 1 Batch 372/1077 - Train Accuracy: 0.6594, Validation Accuracy: 0.6523, Loss: 0.5262
Epoch 1 Batch 373/1077 - Train Accuracy: 0.6823, Validation Accuracy: 0.6531, Loss: 0.5091
Epoch 1 Batch 374/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.6594, Loss: 0.5740
Epoch 1 Batch 375/1077 - Train Accuracy: 0.6843, Validation Accuracy: 0.6619, Loss: 0.5104
Epoch 1 Batch 376/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6644, Loss: 0.5001
Epoch 1 Batch 377/1077 - Train Accuracy: 0.6609, Validation Accuracy: 0.6651, Loss: 0.5521
Epoch 1 Batch 378/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6630, Loss: 0.5168
Epoch 1 Batch 379/1077 - Train Accuracy: 0.6727, Validation Accuracy: 0.6641, Loss: 0.5562
Epoch 1 Batch 380/1077 - Train Accuracy: 0.6496, Validation Accuracy: 0.6619, Loss: 0.5279
Epoch 1 Batch 381/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6630, Loss: 0.5465
Epoch 1 Batch 382/1077 - Train Accuracy: 0.6596, Validation Accuracy: 0.6673, Loss: 0.5604
Epoch 1 Batch 383/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.6726, Loss: 0.5371
Epoch 1 Batch 384/1077 - Train Accuracy: 0.6820, Validation Accuracy: 0.6683, Loss: 0.5231
Epoch 1 Batch 385/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6676, Loss: 0.5223
Epoch 1 Batch 386/1077 - Train Accuracy: 0.6469, Validation Accuracy: 0.6690, Loss: 0.5239
Epoch 1 Batch 387/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.6719, Loss: 0.5112
Epoch 1 Batch 388/1077 - Train Accuracy: 0.6730, Validation Accuracy: 0.6694, Loss: 0.5528
Epoch 1 Batch 389/1077 - Train Accuracy: 0.6609, Validation Accuracy: 0.6655, Loss: 0.5337
Epoch 1 Batch 390/1077 - Train Accuracy: 0.6266, Validation Accuracy: 0.6609, Loss: 0.5704
Epoch 1 Batch 391/1077 - Train Accuracy: 0.6615, Validation Accuracy: 0.6573, Loss: 0.5262
Epoch 1 Batch 392/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6566, Loss: 0.5245
Epoch 1 Batch 393/1077 - Train Accuracy: 0.6741, Validation Accuracy: 0.6573, Loss: 0.5156
Epoch 1 Batch 394/1077 - Train Accuracy: 0.6324, Validation Accuracy: 0.6683, Loss: 0.5422
Epoch 1 Batch 395/1077 - Train Accuracy: 0.6510, Validation Accuracy: 0.6665, Loss: 0.5068
Epoch 1 Batch 396/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6616, Loss: 0.5491
Epoch 1 Batch 397/1077 - Train Accuracy: 0.6897, Validation Accuracy: 0.6637, Loss: 0.5258
Epoch 1 Batch 398/1077 - Train Accuracy: 0.6361, Validation Accuracy: 0.6609, Loss: 0.5702
Epoch 1 Batch 399/1077 - Train Accuracy: 0.6197, Validation Accuracy: 0.6655, Loss: 0.5583
Epoch 1 Batch 400/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.6729, Loss: 0.5476
Epoch 1 Batch 401/1077 - Train Accuracy: 0.6355, Validation Accuracy: 0.6797, Loss: 0.5279
Epoch 1 Batch 402/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.6737, Loss: 0.5157
Epoch 1 Batch 403/1077 - Train Accuracy: 0.6305, Validation Accuracy: 0.6719, Loss: 0.5428
Epoch 1 Batch 404/1077 - Train Accuracy: 0.7009, Validation Accuracy: 0.6701, Loss: 0.5107
Epoch 1 Batch 405/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.6761, Loss: 0.5589
Epoch 1 Batch 406/1077 - Train Accuracy: 0.7056, Validation Accuracy: 0.6648, Loss: 0.5059
Epoch 1 Batch 407/1077 - Train Accuracy: 0.6473, Validation Accuracy: 0.6648, Loss: 0.5519
Epoch 1 Batch 408/1077 - Train Accuracy: 0.6379, Validation Accuracy: 0.6665, Loss: 0.5445
Epoch 1 Batch 409/1077 - Train Accuracy: 0.6492, Validation Accuracy: 0.6598, Loss: 0.5560
Epoch 1 Batch 410/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.6623, Loss: 0.5447
Epoch 1 Batch 411/1077 - Train Accuracy: 0.6808, Validation Accuracy: 0.6658, Loss: 0.5080
Epoch 1 Batch 412/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.6598, Loss: 0.5093
Epoch 1 Batch 413/1077 - Train Accuracy: 0.6656, Validation Accuracy: 0.6580, Loss: 0.5146
Epoch 1 Batch 414/1077 - Train Accuracy: 0.6133, Validation Accuracy: 0.6609, Loss: 0.5569
Epoch 1 Batch 415/1077 - Train Accuracy: 0.6737, Validation Accuracy: 0.6662, Loss: 0.4957
Epoch 1 Batch 416/1077 - Train Accuracy: 0.6496, Validation Accuracy: 0.6602, Loss: 0.5317
Epoch 1 Batch 417/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6559, Loss: 0.5543
Epoch 1 Batch 418/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.6665, Loss: 0.5236
Epoch 1 Batch 419/1077 - Train Accuracy: 0.6527, Validation Accuracy: 0.6605, Loss: 0.5432
Epoch 1 Batch 420/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.6580, Loss: 0.5058
Epoch 1 Batch 421/1077 - Train Accuracy: 0.6359, Validation Accuracy: 0.6584, Loss: 0.5501
Epoch 1 Batch 422/1077 - Train Accuracy: 0.6533, Validation Accuracy: 0.6634, Loss: 0.5122
Epoch 1 Batch 423/1077 - Train Accuracy: 0.6801, Validation Accuracy: 0.6644, Loss: 0.5351
Epoch 1 Batch 424/1077 - Train Accuracy: 0.6062, Validation Accuracy: 0.6701, Loss: 0.5489
Epoch 1 Batch 425/1077 - Train Accuracy: 0.6819, Validation Accuracy: 0.6662, Loss: 0.5145
Epoch 1 Batch 426/1077 - Train Accuracy: 0.6664, Validation Accuracy: 0.6680, Loss: 0.5262
Epoch 1 Batch 427/1077 - Train Accuracy: 0.6414, Validation Accuracy: 0.6690, Loss: 0.5120
Epoch 1 Batch 428/1077 - Train Accuracy: 0.6897, Validation Accuracy: 0.6701, Loss: 0.5180
Epoch 1 Batch 429/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.6673, Loss: 0.5227
Epoch 1 Batch 430/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6626, Loss: 0.5281
Epoch 1 Batch 431/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6662, Loss: 0.5320
Epoch 1 Batch 432/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.6641, Loss: 0.5269
Epoch 1 Batch 433/1077 - Train Accuracy: 0.6625, Validation Accuracy: 0.6708, Loss: 0.5417
Epoch 1 Batch 434/1077 - Train Accuracy: 0.6316, Validation Accuracy: 0.6694, Loss: 0.5316
Epoch 1 Batch 435/1077 - Train Accuracy: 0.6805, Validation Accuracy: 0.6705, Loss: 0.5454
Epoch 1 Batch 436/1077 - Train Accuracy: 0.6510, Validation Accuracy: 0.6744, Loss: 0.5079
Epoch 1 Batch 437/1077 - Train Accuracy: 0.6332, Validation Accuracy: 0.6722, Loss: 0.5214
Epoch 1 Batch 438/1077 - Train Accuracy: 0.6523, Validation Accuracy: 0.6772, Loss: 0.5199
Epoch 1 Batch 439/1077 - Train Accuracy: 0.6363, Validation Accuracy: 0.6768, Loss: 0.5373
Epoch 1 Batch 440/1077 - Train Accuracy: 0.6340, Validation Accuracy: 0.6729, Loss: 0.5531
Epoch 1 Batch 441/1077 - Train Accuracy: 0.6258, Validation Accuracy: 0.6783, Loss: 0.5167
Epoch 1 Batch 442/1077 - Train Accuracy: 0.6417, Validation Accuracy: 0.6619, Loss: 0.5032
Epoch 1 Batch 443/1077 - Train Accuracy: 0.6801, Validation Accuracy: 0.6481, Loss: 0.5000
Epoch 1 Batch 444/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6445, Loss: 0.5077
Epoch 1 Batch 445/1077 - Train Accuracy: 0.6320, Validation Accuracy: 0.6481, Loss: 0.5406
Epoch 1 Batch 446/1077 - Train Accuracy: 0.6682, Validation Accuracy: 0.6580, Loss: 0.4822
Epoch 1 Batch 447/1077 - Train Accuracy: 0.6730, Validation Accuracy: 0.6644, Loss: 0.5292
Epoch 1 Batch 448/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6669, Loss: 0.5421
Epoch 1 Batch 449/1077 - Train Accuracy: 0.6402, Validation Accuracy: 0.6694, Loss: 0.5659
Epoch 1 Batch 450/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6705, Loss: 0.5025
Epoch 1 Batch 451/1077 - Train Accuracy: 0.6968, Validation Accuracy: 0.6683, Loss: 0.5027
Epoch 1 Batch 452/1077 - Train Accuracy: 0.6613, Validation Accuracy: 0.6712, Loss: 0.5434
Epoch 1 Batch 453/1077 - Train Accuracy: 0.6927, Validation Accuracy: 0.6651, Loss: 0.4978
Epoch 1 Batch 454/1077 - Train Accuracy: 0.6781, Validation Accuracy: 0.6754, Loss: 0.5369
Epoch 1 Batch 455/1077 - Train Accuracy: 0.6634, Validation Accuracy: 0.6690, Loss: 0.5068
Epoch 1 Batch 456/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6637, Loss: 0.5148
Epoch 1 Batch 457/1077 - Train Accuracy: 0.6682, Validation Accuracy: 0.6705, Loss: 0.4965
Epoch 1 Batch 458/1077 - Train Accuracy: 0.6246, Validation Accuracy: 0.6712, Loss: 0.5149
Epoch 1 Batch 459/1077 - Train Accuracy: 0.6812, Validation Accuracy: 0.6744, Loss: 0.4924
Epoch 1 Batch 460/1077 - Train Accuracy: 0.6723, Validation Accuracy: 0.6726, Loss: 0.5331
Epoch 1 Batch 461/1077 - Train Accuracy: 0.6734, Validation Accuracy: 0.6715, Loss: 0.5094
Epoch 1 Batch 462/1077 - Train Accuracy: 0.6586, Validation Accuracy: 0.6776, Loss: 0.5172
Epoch 1 Batch 463/1077 - Train Accuracy: 0.6438, Validation Accuracy: 0.6687, Loss: 0.5242
Epoch 1 Batch 464/1077 - Train Accuracy: 0.6969, Validation Accuracy: 0.6658, Loss: 0.5165
Epoch 1 Batch 465/1077 - Train Accuracy: 0.6624, Validation Accuracy: 0.6619, Loss: 0.5666
Epoch 1 Batch 466/1077 - Train Accuracy: 0.6727, Validation Accuracy: 0.6634, Loss: 0.5001
Epoch 1 Batch 467/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.6573, Loss: 0.5037
Epoch 1 Batch 468/1077 - Train Accuracy: 0.6894, Validation Accuracy: 0.6644, Loss: 0.5186
Epoch 1 Batch 469/1077 - Train Accuracy: 0.6305, Validation Accuracy: 0.6648, Loss: 0.5306
Epoch 1 Batch 470/1077 - Train Accuracy: 0.6250, Validation Accuracy: 0.6687, Loss: 0.5465
Epoch 1 Batch 471/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.6701, Loss: 0.5110
Epoch 1 Batch 472/1077 - Train Accuracy: 0.6395, Validation Accuracy: 0.6690, Loss: 0.4888
Epoch 1 Batch 473/1077 - Train Accuracy: 0.6703, Validation Accuracy: 0.6705, Loss: 0.5162
Epoch 1 Batch 474/1077 - Train Accuracy: 0.6352, Validation Accuracy: 0.6690, Loss: 0.5325
Epoch 1 Batch 475/1077 - Train Accuracy: 0.6891, Validation Accuracy: 0.6676, Loss: 0.5089
Epoch 1 Batch 476/1077 - Train Accuracy: 0.6456, Validation Accuracy: 0.6673, Loss: 0.5059
Epoch 1 Batch 477/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.6687, Loss: 0.4831
Epoch 1 Batch 478/1077 - Train Accuracy: 0.6735, Validation Accuracy: 0.6598, Loss: 0.5453
Epoch 1 Batch 479/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.6555, Loss: 0.5331
Epoch 1 Batch 480/1077 - Train Accuracy: 0.6982, Validation Accuracy: 0.6520, Loss: 0.5229
Epoch 1 Batch 481/1077 - Train Accuracy: 0.6336, Validation Accuracy: 0.6616, Loss: 0.5210
Epoch 1 Batch 482/1077 - Train Accuracy: 0.6468, Validation Accuracy: 0.6626, Loss: 0.5521
Epoch 1 Batch 483/1077 - Train Accuracy: 0.6402, Validation Accuracy: 0.6662, Loss: 0.5186
Epoch 1 Batch 484/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6623, Loss: 0.4988
Epoch 1 Batch 485/1077 - Train Accuracy: 0.6680, Validation Accuracy: 0.6612, Loss: 0.5199
Epoch 1 Batch 486/1077 - Train Accuracy: 0.6624, Validation Accuracy: 0.6655, Loss: 0.5233
Epoch 1 Batch 487/1077 - Train Accuracy: 0.6472, Validation Accuracy: 0.6687, Loss: 0.5196
Epoch 1 Batch 488/1077 - Train Accuracy: 0.6262, Validation Accuracy: 0.6662, Loss: 0.5510
Epoch 1 Batch 489/1077 - Train Accuracy: 0.6700, Validation Accuracy: 0.6744, Loss: 0.4825
Epoch 1 Batch 490/1077 - Train Accuracy: 0.6691, Validation Accuracy: 0.6761, Loss: 0.5179
Epoch 1 Batch 491/1077 - Train Accuracy: 0.6703, Validation Accuracy: 0.6669, Loss: 0.5090
Epoch 1 Batch 492/1077 - Train Accuracy: 0.6535, Validation Accuracy: 0.6669, Loss: 0.5272
Epoch 1 Batch 493/1077 - Train Accuracy: 0.6920, Validation Accuracy: 0.6665, Loss: 0.4717
Epoch 1 Batch 494/1077 - Train Accuracy: 0.6965, Validation Accuracy: 0.6658, Loss: 0.4922
Epoch 1 Batch 495/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6648, Loss: 0.4858
Epoch 1 Batch 496/1077 - Train Accuracy: 0.6848, Validation Accuracy: 0.6573, Loss: 0.5201
Epoch 1 Batch 497/1077 - Train Accuracy: 0.6649, Validation Accuracy: 0.6591, Loss: 0.5451
Epoch 1 Batch 498/1077 - Train Accuracy: 0.6930, Validation Accuracy: 0.6612, Loss: 0.4960
Epoch 1 Batch 499/1077 - Train Accuracy: 0.6540, Validation Accuracy: 0.6616, Loss: 0.4826
Epoch 1 Batch 500/1077 - Train Accuracy: 0.6660, Validation Accuracy: 0.6655, Loss: 0.4954
Epoch 1 Batch 501/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6701, Loss: 0.4996
Epoch 1 Batch 502/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6673, Loss: 0.5046
Epoch 1 Batch 503/1077 - Train Accuracy: 0.6848, Validation Accuracy: 0.6669, Loss: 0.4943
Epoch 1 Batch 504/1077 - Train Accuracy: 0.6348, Validation Accuracy: 0.6626, Loss: 0.5282
Epoch 1 Batch 505/1077 - Train Accuracy: 0.6968, Validation Accuracy: 0.6584, Loss: 0.4449
Epoch 1 Batch 506/1077 - Train Accuracy: 0.6418, Validation Accuracy: 0.6598, Loss: 0.5063
Epoch 1 Batch 507/1077 - Train Accuracy: 0.6457, Validation Accuracy: 0.6680, Loss: 0.5052
Epoch 1 Batch 508/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6612, Loss: 0.4773
Epoch 1 Batch 509/1077 - Train Accuracy: 0.6613, Validation Accuracy: 0.6680, Loss: 0.5372
Epoch 1 Batch 510/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6623, Loss: 0.4975
Epoch 1 Batch 511/1077 - Train Accuracy: 0.6398, Validation Accuracy: 0.6665, Loss: 0.5150
Epoch 1 Batch 512/1077 - Train Accuracy: 0.6992, Validation Accuracy: 0.6705, Loss: 0.4755
Epoch 1 Batch 513/1077 - Train Accuracy: 0.6691, Validation Accuracy: 0.6658, Loss: 0.4980
Epoch 1 Batch 514/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6630, Loss: 0.5072
Epoch 1 Batch 515/1077 - Train Accuracy: 0.6484, Validation Accuracy: 0.6538, Loss: 0.5482
Epoch 1 Batch 516/1077 - Train Accuracy: 0.6972, Validation Accuracy: 0.6495, Loss: 0.4634
Epoch 1 Batch 517/1077 - Train Accuracy: 0.6927, Validation Accuracy: 0.6477, Loss: 0.4917
Epoch 1 Batch 518/1077 - Train Accuracy: 0.6758, Validation Accuracy: 0.6499, Loss: 0.4936
Epoch 1 Batch 519/1077 - Train Accuracy: 0.6785, Validation Accuracy: 0.6584, Loss: 0.4961
Epoch 1 Batch 520/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.6651, Loss: 0.4729
Epoch 1 Batch 521/1077 - Train Accuracy: 0.6752, Validation Accuracy: 0.6630, Loss: 0.4816
Epoch 1 Batch 522/1077 - Train Accuracy: 0.6148, Validation Accuracy: 0.6641, Loss: 0.5381
Epoch 1 Batch 523/1077 - Train Accuracy: 0.6355, Validation Accuracy: 0.6655, Loss: 0.5194
Epoch 1 Batch 524/1077 - Train Accuracy: 0.6500, Validation Accuracy: 0.6662, Loss: 0.4952
Epoch 1 Batch 525/1077 - Train Accuracy: 0.6711, Validation Accuracy: 0.6626, Loss: 0.5091
Epoch 1 Batch 526/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.6562, Loss: 0.4897
Epoch 1 Batch 527/1077 - Train Accuracy: 0.6497, Validation Accuracy: 0.6534, Loss: 0.5116
Epoch 1 Batch 528/1077 - Train Accuracy: 0.6715, Validation Accuracy: 0.6509, Loss: 0.5133
Epoch 1 Batch 529/1077 - Train Accuracy: 0.6555, Validation Accuracy: 0.6538, Loss: 0.5079
Epoch 1 Batch 530/1077 - Train Accuracy: 0.6543, Validation Accuracy: 0.6566, Loss: 0.5271
Epoch 1 Batch 531/1077 - Train Accuracy: 0.6625, Validation Accuracy: 0.6570, Loss: 0.5095
Epoch 1 Batch 532/1077 - Train Accuracy: 0.6242, Validation Accuracy: 0.6587, Loss: 0.5264
Epoch 1 Batch 533/1077 - Train Accuracy: 0.6656, Validation Accuracy: 0.6644, Loss: 0.5256
Epoch 1 Batch 534/1077 - Train Accuracy: 0.6845, Validation Accuracy: 0.6651, Loss: 0.4925
Epoch 1 Batch 535/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.6683, Loss: 0.4846
Epoch 1 Batch 536/1077 - Train Accuracy: 0.6777, Validation Accuracy: 0.6708, Loss: 0.4968
Epoch 1 Batch 537/1077 - Train Accuracy: 0.6773, Validation Accuracy: 0.6751, Loss: 0.5032
Epoch 1 Batch 538/1077 - Train Accuracy: 0.7009, Validation Accuracy: 0.6754, Loss: 0.4626
Epoch 1 Batch 539/1077 - Train Accuracy: 0.6773, Validation Accuracy: 0.6662, Loss: 0.5102
Epoch 1 Batch 540/1077 - Train Accuracy: 0.6777, Validation Accuracy: 0.6676, Loss: 0.4555
Epoch 1 Batch 541/1077 - Train Accuracy: 0.6559, Validation Accuracy: 0.6669, Loss: 0.5180
Epoch 1 Batch 542/1077 - Train Accuracy: 0.6723, Validation Accuracy: 0.6708, Loss: 0.4803
Epoch 1 Batch 543/1077 - Train Accuracy: 0.6633, Validation Accuracy: 0.6779, Loss: 0.5096
Epoch 1 Batch 544/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.6772, Loss: 0.4739
Epoch 1 Batch 545/1077 - Train Accuracy: 0.6609, Validation Accuracy: 0.6793, Loss: 0.5221
Epoch 1 Batch 546/1077 - Train Accuracy: 0.6391, Validation Accuracy: 0.6800, Loss: 0.5308
Epoch 1 Batch 547/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6786, Loss: 0.4970
Epoch 1 Batch 548/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6800, Loss: 0.4883
Epoch 1 Batch 549/1077 - Train Accuracy: 0.6059, Validation Accuracy: 0.6761, Loss: 0.5433
Epoch 1 Batch 550/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6808, Loss: 0.5338
Epoch 1 Batch 551/1077 - Train Accuracy: 0.6461, Validation Accuracy: 0.6751, Loss: 0.5232
Epoch 1 Batch 552/1077 - Train Accuracy: 0.6828, Validation Accuracy: 0.6690, Loss: 0.5030
Epoch 1 Batch 553/1077 - Train Accuracy: 0.6914, Validation Accuracy: 0.6651, Loss: 0.4968
Epoch 1 Batch 554/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.6673, Loss: 0.4909
Epoch 1 Batch 555/1077 - Train Accuracy: 0.6836, Validation Accuracy: 0.6665, Loss: 0.4907
Epoch 1 Batch 556/1077 - Train Accuracy: 0.6793, Validation Accuracy: 0.6605, Loss: 0.4768
Epoch 1 Batch 557/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.6570, Loss: 0.5045
Epoch 1 Batch 558/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.6662, Loss: 0.4658
Epoch 1 Batch 559/1077 - Train Accuracy: 0.6969, Validation Accuracy: 0.6630, Loss: 0.4871
Epoch 1 Batch 560/1077 - Train Accuracy: 0.6781, Validation Accuracy: 0.6701, Loss: 0.4830
Epoch 1 Batch 561/1077 - Train Accuracy: 0.7065, Validation Accuracy: 0.6705, Loss: 0.4802
Epoch 1 Batch 562/1077 - Train Accuracy: 0.7292, Validation Accuracy: 0.6729, Loss: 0.4654
Epoch 1 Batch 563/1077 - Train Accuracy: 0.6457, Validation Accuracy: 0.6694, Loss: 0.5092
Epoch 1 Batch 564/1077 - Train Accuracy: 0.6970, Validation Accuracy: 0.6705, Loss: 0.5143
Epoch 1 Batch 565/1077 - Train Accuracy: 0.6775, Validation Accuracy: 0.6697, Loss: 0.5010
Epoch 1 Batch 566/1077 - Train Accuracy: 0.6855, Validation Accuracy: 0.6630, Loss: 0.5183
Epoch 1 Batch 567/1077 - Train Accuracy: 0.6609, Validation Accuracy: 0.6630, Loss: 0.4959
Epoch 1 Batch 568/1077 - Train Accuracy: 0.6898, Validation Accuracy: 0.6612, Loss: 0.4877
Epoch 1 Batch 569/1077 - Train Accuracy: 0.7180, Validation Accuracy: 0.6655, Loss: 0.4847
Epoch 1 Batch 570/1077 - Train Accuracy: 0.6550, Validation Accuracy: 0.6694, Loss: 0.5224
Epoch 1 Batch 571/1077 - Train Accuracy: 0.6916, Validation Accuracy: 0.6715, Loss: 0.4717
Epoch 1 Batch 572/1077 - Train Accuracy: 0.6868, Validation Accuracy: 0.6722, Loss: 0.4585
Epoch 1 Batch 573/1077 - Train Accuracy: 0.6848, Validation Accuracy: 0.6708, Loss: 0.5080
Epoch 1 Batch 574/1077 - Train Accuracy: 0.6534, Validation Accuracy: 0.6708, Loss: 0.5091
Epoch 1 Batch 575/1077 - Train Accuracy: 0.6667, Validation Accuracy: 0.6733, Loss: 0.4952
Epoch 1 Batch 576/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.6715, Loss: 0.5006
Epoch 1 Batch 577/1077 - Train Accuracy: 0.6386, Validation Accuracy: 0.6705, Loss: 0.5180
Epoch 1 Batch 578/1077 - Train Accuracy: 0.6285, Validation Accuracy: 0.6744, Loss: 0.5247
Epoch 1 Batch 579/1077 - Train Accuracy: 0.6695, Validation Accuracy: 0.6744, Loss: 0.4749
Epoch 1 Batch 580/1077 - Train Accuracy: 0.6990, Validation Accuracy: 0.6879, Loss: 0.4562
Epoch 1 Batch 581/1077 - Train Accuracy: 0.6578, Validation Accuracy: 0.6818, Loss: 0.4832
Epoch 1 Batch 582/1077 - Train Accuracy: 0.6457, Validation Accuracy: 0.6790, Loss: 0.4805
Epoch 1 Batch 583/1077 - Train Accuracy: 0.6706, Validation Accuracy: 0.6726, Loss: 0.5094
Epoch 1 Batch 584/1077 - Train Accuracy: 0.6804, Validation Accuracy: 0.6683, Loss: 0.5033
Epoch 1 Batch 585/1077 - Train Accuracy: 0.6775, Validation Accuracy: 0.6758, Loss: 0.4426
Epoch 1 Batch 586/1077 - Train Accuracy: 0.6562, Validation Accuracy: 0.6683, Loss: 0.5218
Epoch 1 Batch 587/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.6705, Loss: 0.4704
Epoch 1 Batch 588/1077 - Train Accuracy: 0.6777, Validation Accuracy: 0.6783, Loss: 0.4795
Epoch 1 Batch 589/1077 - Train Accuracy: 0.6517, Validation Accuracy: 0.6747, Loss: 0.5085
Epoch 1 Batch 590/1077 - Train Accuracy: 0.6493, Validation Accuracy: 0.6712, Loss: 0.5295
Epoch 1 Batch 591/1077 - Train Accuracy: 0.7170, Validation Accuracy: 0.6786, Loss: 0.4461
Epoch 1 Batch 592/1077 - Train Accuracy: 0.6750, Validation Accuracy: 0.6740, Loss: 0.4965
Epoch 1 Batch 593/1077 - Train Accuracy: 0.6786, Validation Accuracy: 0.6729, Loss: 0.4853
Epoch 1 Batch 594/1077 - Train Accuracy: 0.6684, Validation Accuracy: 0.6761, Loss: 0.5114
Epoch 1 Batch 595/1077 - Train Accuracy: 0.6664, Validation Accuracy: 0.6772, Loss: 0.5085
Epoch 1 Batch 596/1077 - Train Accuracy: 0.7082, Validation Accuracy: 0.6754, Loss: 0.5048
Epoch 1 Batch 597/1077 - Train Accuracy: 0.6695, Validation Accuracy: 0.6811, Loss: 0.5107
Epoch 1 Batch 598/1077 - Train Accuracy: 0.6842, Validation Accuracy: 0.6829, Loss: 0.4840
Epoch 1 Batch 599/1077 - Train Accuracy: 0.6324, Validation Accuracy: 0.6751, Loss: 0.5388
Epoch 1 Batch 600/1077 - Train Accuracy: 0.6842, Validation Accuracy: 0.6758, Loss: 0.4653
Epoch 1 Batch 601/1077 - Train Accuracy: 0.6812, Validation Accuracy: 0.6687, Loss: 0.4714
Epoch 1 Batch 602/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6726, Loss: 0.4917
Epoch 1 Batch 603/1077 - Train Accuracy: 0.6823, Validation Accuracy: 0.6644, Loss: 0.4732
Epoch 1 Batch 604/1077 - Train Accuracy: 0.6453, Validation Accuracy: 0.6665, Loss: 0.5056
Epoch 1 Batch 605/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.6705, Loss: 0.5242
Epoch 1 Batch 606/1077 - Train Accuracy: 0.7024, Validation Accuracy: 0.6690, Loss: 0.4529
Epoch 1 Batch 607/1077 - Train Accuracy: 0.7209, Validation Accuracy: 0.6694, Loss: 0.4477
Epoch 1 Batch 608/1077 - Train Accuracy: 0.6586, Validation Accuracy: 0.6722, Loss: 0.5086
Epoch 1 Batch 609/1077 - Train Accuracy: 0.6449, Validation Accuracy: 0.6783, Loss: 0.4964
Epoch 1 Batch 610/1077 - Train Accuracy: 0.6423, Validation Accuracy: 0.6719, Loss: 0.5083
Epoch 1 Batch 611/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6747, Loss: 0.4891
Epoch 1 Batch 612/1077 - Train Accuracy: 0.6975, Validation Accuracy: 0.6790, Loss: 0.4597
Epoch 1 Batch 613/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.6786, Loss: 0.4904
Epoch 1 Batch 614/1077 - Train Accuracy: 0.7024, Validation Accuracy: 0.6815, Loss: 0.4731
Epoch 1 Batch 615/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.6712, Loss: 0.4772
Epoch 1 Batch 616/1077 - Train Accuracy: 0.6456, Validation Accuracy: 0.6705, Loss: 0.5145
Epoch 1 Batch 617/1077 - Train Accuracy: 0.6860, Validation Accuracy: 0.6701, Loss: 0.4694
Epoch 1 Batch 618/1077 - Train Accuracy: 0.6977, Validation Accuracy: 0.6705, Loss: 0.4846
Epoch 1 Batch 619/1077 - Train Accuracy: 0.6406, Validation Accuracy: 0.6697, Loss: 0.4970
Epoch 1 Batch 620/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6708, Loss: 0.4849
Epoch 1 Batch 621/1077 - Train Accuracy: 0.6773, Validation Accuracy: 0.6712, Loss: 0.5013
Epoch 1 Batch 622/1077 - Train Accuracy: 0.6764, Validation Accuracy: 0.6680, Loss: 0.5090
Epoch 1 Batch 623/1077 - Train Accuracy: 0.6574, Validation Accuracy: 0.6754, Loss: 0.4910
Epoch 1 Batch 624/1077 - Train Accuracy: 0.6972, Validation Accuracy: 0.6729, Loss: 0.4630
Epoch 1 Batch 625/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.6758, Loss: 0.4817
Epoch 1 Batch 626/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.6797, Loss: 0.4468
Epoch 1 Batch 627/1077 - Train Accuracy: 0.6969, Validation Accuracy: 0.6747, Loss: 0.4855
Epoch 1 Batch 628/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6808, Loss: 0.4994
Epoch 1 Batch 629/1077 - Train Accuracy: 0.6583, Validation Accuracy: 0.6825, Loss: 0.5194
Epoch 1 Batch 630/1077 - Train Accuracy: 0.6676, Validation Accuracy: 0.6832, Loss: 0.5009
Epoch 1 Batch 631/1077 - Train Accuracy: 0.6793, Validation Accuracy: 0.6839, Loss: 0.4714
Epoch 1 Batch 632/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.6818, Loss: 0.4842
Epoch 1 Batch 633/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.6822, Loss: 0.4808
Epoch 1 Batch 634/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6847, Loss: 0.4468
Epoch 1 Batch 635/1077 - Train Accuracy: 0.6435, Validation Accuracy: 0.6790, Loss: 0.5310
Epoch 1 Batch 636/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.6790, Loss: 0.4699
Epoch 1 Batch 637/1077 - Train Accuracy: 0.6859, Validation Accuracy: 0.6790, Loss: 0.4849
Epoch 1 Batch 638/1077 - Train Accuracy: 0.6641, Validation Accuracy: 0.6772, Loss: 0.4738
Epoch 1 Batch 639/1077 - Train Accuracy: 0.6891, Validation Accuracy: 0.6729, Loss: 0.5021
Epoch 1 Batch 640/1077 - Train Accuracy: 0.6548, Validation Accuracy: 0.6733, Loss: 0.4689
Epoch 1 Batch 641/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.6768, Loss: 0.4844
Epoch 1 Batch 642/1077 - Train Accuracy: 0.6842, Validation Accuracy: 0.6793, Loss: 0.4879
Epoch 1 Batch 643/1077 - Train Accuracy: 0.6946, Validation Accuracy: 0.6793, Loss: 0.4593
Epoch 1 Batch 644/1077 - Train Accuracy: 0.6668, Validation Accuracy: 0.6754, Loss: 0.4780
Epoch 1 Batch 645/1077 - Train Accuracy: 0.7076, Validation Accuracy: 0.6715, Loss: 0.4706
Epoch 1 Batch 646/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.6690, Loss: 0.4696
Epoch 1 Batch 647/1077 - Train Accuracy: 0.6992, Validation Accuracy: 0.6676, Loss: 0.4577
Epoch 1 Batch 648/1077 - Train Accuracy: 0.6749, Validation Accuracy: 0.6680, Loss: 0.4572
Epoch 1 Batch 649/1077 - Train Accuracy: 0.6586, Validation Accuracy: 0.6783, Loss: 0.5000
Epoch 1 Batch 650/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.6761, Loss: 0.4912
Epoch 1 Batch 651/1077 - Train Accuracy: 0.6819, Validation Accuracy: 0.6733, Loss: 0.4515
Epoch 1 Batch 652/1077 - Train Accuracy: 0.6826, Validation Accuracy: 0.6740, Loss: 0.5193
Epoch 1 Batch 653/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.6793, Loss: 0.4902
Epoch 1 Batch 654/1077 - Train Accuracy: 0.6492, Validation Accuracy: 0.6854, Loss: 0.4759
Epoch 1 Batch 655/1077 - Train Accuracy: 0.6730, Validation Accuracy: 0.6882, Loss: 0.4919
Epoch 1 Batch 656/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.6779, Loss: 0.4944
Epoch 1 Batch 657/1077 - Train Accuracy: 0.6838, Validation Accuracy: 0.6768, Loss: 0.4956
Epoch 1 Batch 658/1077 - Train Accuracy: 0.6905, Validation Accuracy: 0.6793, Loss: 0.4722
Epoch 1 Batch 659/1077 - Train Accuracy: 0.7024, Validation Accuracy: 0.6839, Loss: 0.4651
Epoch 1 Batch 660/1077 - Train Accuracy: 0.6750, Validation Accuracy: 0.6815, Loss: 0.4850
Epoch 1 Batch 661/1077 - Train Accuracy: 0.7024, Validation Accuracy: 0.6761, Loss: 0.4616
Epoch 1 Batch 662/1077 - Train Accuracy: 0.6838, Validation Accuracy: 0.6669, Loss: 0.4690
Epoch 1 Batch 663/1077 - Train Accuracy: 0.6672, Validation Accuracy: 0.6758, Loss: 0.4663
Epoch 1 Batch 664/1077 - Train Accuracy: 0.6891, Validation Accuracy: 0.6690, Loss: 0.4687
Epoch 1 Batch 665/1077 - Train Accuracy: 0.6672, Validation Accuracy: 0.6655, Loss: 0.4760
Epoch 1 Batch 666/1077 - Train Accuracy: 0.6924, Validation Accuracy: 0.6726, Loss: 0.5027
Epoch 1 Batch 667/1077 - Train Accuracy: 0.6706, Validation Accuracy: 0.6751, Loss: 0.5222
Epoch 1 Batch 668/1077 - Train Accuracy: 0.6596, Validation Accuracy: 0.6733, Loss: 0.4710
Epoch 1 Batch 669/1077 - Train Accuracy: 0.6984, Validation Accuracy: 0.6779, Loss: 0.4656
Epoch 1 Batch 670/1077 - Train Accuracy: 0.7198, Validation Accuracy: 0.6808, Loss: 0.4564
Epoch 1 Batch 671/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.6779, Loss: 0.5126
Epoch 1 Batch 672/1077 - Train Accuracy: 0.6875, Validation Accuracy: 0.6772, Loss: 0.4677
Epoch 1 Batch 673/1077 - Train Accuracy: 0.6890, Validation Accuracy: 0.6747, Loss: 0.4675
Epoch 1 Batch 674/1077 - Train Accuracy: 0.6937, Validation Accuracy: 0.6839, Loss: 0.4734
Epoch 1 Batch 675/1077 - Train Accuracy: 0.6827, Validation Accuracy: 0.6783, Loss: 0.4699
Epoch 1 Batch 676/1077 - Train Accuracy: 0.6908, Validation Accuracy: 0.6804, Loss: 0.5030
Epoch 1 Batch 677/1077 - Train Accuracy: 0.6430, Validation Accuracy: 0.6783, Loss: 0.5235
Epoch 1 Batch 678/1077 - Train Accuracy: 0.6689, Validation Accuracy: 0.6768, Loss: 0.4617
Epoch 1 Batch 679/1077 - Train Accuracy: 0.6669, Validation Accuracy: 0.6797, Loss: 0.4807
Epoch 1 Batch 680/1077 - Train Accuracy: 0.6990, Validation Accuracy: 0.6790, Loss: 0.4523
Epoch 1 Batch 681/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.6740, Loss: 0.4956
Epoch 1 Batch 682/1077 - Train Accuracy: 0.6816, Validation Accuracy: 0.6701, Loss: 0.4658
Epoch 1 Batch 683/1077 - Train Accuracy: 0.6363, Validation Accuracy: 0.6726, Loss: 0.4668
Epoch 1 Batch 684/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.6776, Loss: 0.4667
Epoch 1 Batch 685/1077 - Train Accuracy: 0.6422, Validation Accuracy: 0.6744, Loss: 0.4817
Epoch 1 Batch 686/1077 - Train Accuracy: 0.7061, Validation Accuracy: 0.6758, Loss: 0.4564
Epoch 1 Batch 687/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.6722, Loss: 0.5062
Epoch 1 Batch 688/1077 - Train Accuracy: 0.6711, Validation Accuracy: 0.6744, Loss: 0.4712
Epoch 1 Batch 689/1077 - Train Accuracy: 0.6551, Validation Accuracy: 0.6754, Loss: 0.4665
Epoch 1 Batch 690/1077 - Train Accuracy: 0.7047, Validation Accuracy: 0.6729, Loss: 0.4611
Epoch 1 Batch 691/1077 - Train Accuracy: 0.6554, Validation Accuracy: 0.6786, Loss: 0.5271
Epoch 1 Batch 692/1077 - Train Accuracy: 0.6905, Validation Accuracy: 0.6779, Loss: 0.4590
Epoch 1 Batch 693/1077 - Train Accuracy: 0.6192, Validation Accuracy: 0.6722, Loss: 0.5414
Epoch 1 Batch 694/1077 - Train Accuracy: 0.7054, Validation Accuracy: 0.6644, Loss: 0.4731
Epoch 1 Batch 695/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.6847, Loss: 0.4681
Epoch 1 Batch 696/1077 - Train Accuracy: 0.6628, Validation Accuracy: 0.6871, Loss: 0.4953
Epoch 1 Batch 697/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.6825, Loss: 0.4550
Epoch 1 Batch 698/1077 - Train Accuracy: 0.6975, Validation Accuracy: 0.6839, Loss: 0.4669
Epoch 1 Batch 699/1077 - Train Accuracy: 0.6427, Validation Accuracy: 0.6783, Loss: 0.4875
Epoch 1 Batch 700/1077 - Train Accuracy: 0.6809, Validation Accuracy: 0.6765, Loss: 0.4530
Epoch 1 Batch 701/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.6729, Loss: 0.4965
Epoch 1 Batch 702/1077 - Train Accuracy: 0.6611, Validation Accuracy: 0.6737, Loss: 0.5003
Epoch 1 Batch 703/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.6694, Loss: 0.4893
Epoch 1 Batch 704/1077 - Train Accuracy: 0.6625, Validation Accuracy: 0.6719, Loss: 0.4906
Epoch 1 Batch 705/1077 - Train Accuracy: 0.7101, Validation Accuracy: 0.6754, Loss: 0.5109
Epoch 1 Batch 706/1077 - Train Accuracy: 0.6615, Validation Accuracy: 0.6758, Loss: 0.4858
Epoch 1 Batch 707/1077 - Train Accuracy: 0.6887, Validation Accuracy: 0.6673, Loss: 0.4729
Epoch 1 Batch 708/1077 - Train Accuracy: 0.6887, Validation Accuracy: 0.6694, Loss: 0.4891
Epoch 1 Batch 709/1077 - Train Accuracy: 0.6824, Validation Accuracy: 0.6697, Loss: 0.5087
Epoch 1 Batch 710/1077 - Train Accuracy: 0.6531, Validation Accuracy: 0.6722, Loss: 0.4761
Epoch 1 Batch 711/1077 - Train Accuracy: 0.6895, Validation Accuracy: 0.6726, Loss: 0.5087
Epoch 1 Batch 712/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.6701, Loss: 0.4493
Epoch 1 Batch 713/1077 - Train Accuracy: 0.7124, Validation Accuracy: 0.6793, Loss: 0.4327
Epoch 1 Batch 714/1077 - Train Accuracy: 0.6689, Validation Accuracy: 0.6864, Loss: 0.4596
Epoch 1 Batch 715/1077 - Train Accuracy: 0.6723, Validation Accuracy: 0.6832, Loss: 0.4957
Epoch 1 Batch 716/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.6822, Loss: 0.4438
Epoch 1 Batch 717/1077 - Train Accuracy: 0.6822, Validation Accuracy: 0.6843, Loss: 0.4544
Epoch 1 Batch 718/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.6879, Loss: 0.4694
Epoch 1 Batch 719/1077 - Train Accuracy: 0.6592, Validation Accuracy: 0.6871, Loss: 0.4513
Epoch 1 Batch 720/1077 - Train Accuracy: 0.6538, Validation Accuracy: 0.6857, Loss: 0.4887
Epoch 1 Batch 721/1077 - Train Accuracy: 0.6730, Validation Accuracy: 0.6893, Loss: 0.4668
Epoch 1 Batch 722/1077 - Train Accuracy: 0.6738, Validation Accuracy: 0.6875, Loss: 0.4488
Epoch 1 Batch 723/1077 - Train Accuracy: 0.7240, Validation Accuracy: 0.6832, Loss: 0.4506
Epoch 1 Batch 724/1077 - Train Accuracy: 0.6501, Validation Accuracy: 0.6808, Loss: 0.5069
Epoch 1 Batch 725/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.6804, Loss: 0.4227
Epoch 1 Batch 726/1077 - Train Accuracy: 0.7051, Validation Accuracy: 0.6793, Loss: 0.4469
Epoch 1 Batch 727/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.6815, Loss: 0.4255
Epoch 1 Batch 728/1077 - Train Accuracy: 0.6615, Validation Accuracy: 0.6850, Loss: 0.4719
Epoch 1 Batch 729/1077 - Train Accuracy: 0.6453, Validation Accuracy: 0.6843, Loss: 0.5091
Epoch 1 Batch 730/1077 - Train Accuracy: 0.6820, Validation Accuracy: 0.6765, Loss: 0.4824
Epoch 1 Batch 731/1077 - Train Accuracy: 0.6964, Validation Accuracy: 0.6800, Loss: 0.4525
Epoch 1 Batch 732/1077 - Train Accuracy: 0.6887, Validation Accuracy: 0.6818, Loss: 0.4864
Epoch 1 Batch 733/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.6765, Loss: 0.4778
Epoch 1 Batch 734/1077 - Train Accuracy: 0.6998, Validation Accuracy: 0.6715, Loss: 0.4855
Epoch 1 Batch 735/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.6687, Loss: 0.4670
Epoch 1 Batch 736/1077 - Train Accuracy: 0.6978, Validation Accuracy: 0.6811, Loss: 0.4624
Epoch 1 Batch 737/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.6811, Loss: 0.5057
Epoch 1 Batch 738/1077 - Train Accuracy: 0.7178, Validation Accuracy: 0.6829, Loss: 0.4057
Epoch 1 Batch 739/1077 - Train Accuracy: 0.6793, Validation Accuracy: 0.6808, Loss: 0.4541
Epoch 1 Batch 740/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.6854, Loss: 0.4644
Epoch 1 Batch 741/1077 - Train Accuracy: 0.7059, Validation Accuracy: 0.6921, Loss: 0.4858
Epoch 1 Batch 742/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.7021, Loss: 0.4696
Epoch 1 Batch 743/1077 - Train Accuracy: 0.6844, Validation Accuracy: 0.6999, Loss: 0.4702
Epoch 1 Batch 744/1077 - Train Accuracy: 0.6990, Validation Accuracy: 0.7024, Loss: 0.4303
Epoch 1 Batch 745/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7067, Loss: 0.4469
Epoch 1 Batch 746/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7095, Loss: 0.4633
Epoch 1 Batch 747/1077 - Train Accuracy: 0.7074, Validation Accuracy: 0.7131, Loss: 0.4295
Epoch 1 Batch 748/1077 - Train Accuracy: 0.6746, Validation Accuracy: 0.7085, Loss: 0.4820
Epoch 1 Batch 749/1077 - Train Accuracy: 0.6777, Validation Accuracy: 0.6921, Loss: 0.4924
Epoch 1 Batch 750/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.6790, Loss: 0.4631
Epoch 1 Batch 751/1077 - Train Accuracy: 0.7082, Validation Accuracy: 0.6772, Loss: 0.4548
Epoch 1 Batch 752/1077 - Train Accuracy: 0.6864, Validation Accuracy: 0.6641, Loss: 0.4149
Epoch 1 Batch 753/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.6658, Loss: 0.4455
Epoch 1 Batch 754/1077 - Train Accuracy: 0.6910, Validation Accuracy: 0.6676, Loss: 0.4837
Epoch 1 Batch 755/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.6673, Loss: 0.4684
Epoch 1 Batch 756/1077 - Train Accuracy: 0.7117, Validation Accuracy: 0.6744, Loss: 0.4556
Epoch 1 Batch 757/1077 - Train Accuracy: 0.6550, Validation Accuracy: 0.6818, Loss: 0.4887
Epoch 1 Batch 758/1077 - Train Accuracy: 0.7150, Validation Accuracy: 0.6765, Loss: 0.4360
Epoch 1 Batch 759/1077 - Train Accuracy: 0.7016, Validation Accuracy: 0.6790, Loss: 0.4298
Epoch 1 Batch 760/1077 - Train Accuracy: 0.6773, Validation Accuracy: 0.6761, Loss: 0.4626
Epoch 1 Batch 761/1077 - Train Accuracy: 0.6402, Validation Accuracy: 0.6722, Loss: 0.4975
Epoch 1 Batch 762/1077 - Train Accuracy: 0.6727, Validation Accuracy: 0.6779, Loss: 0.4471
Epoch 1 Batch 763/1077 - Train Accuracy: 0.6823, Validation Accuracy: 0.6754, Loss: 0.4456
Epoch 1 Batch 764/1077 - Train Accuracy: 0.7048, Validation Accuracy: 0.6768, Loss: 0.4761
Epoch 1 Batch 765/1077 - Train Accuracy: 0.6988, Validation Accuracy: 0.6839, Loss: 0.4398
Epoch 1 Batch 766/1077 - Train Accuracy: 0.6641, Validation Accuracy: 0.6854, Loss: 0.4750
Epoch 1 Batch 767/1077 - Train Accuracy: 0.7055, Validation Accuracy: 0.6765, Loss: 0.4639
Epoch 1 Batch 768/1077 - Train Accuracy: 0.6652, Validation Accuracy: 0.6804, Loss: 0.4742
Epoch 1 Batch 769/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.6832, Loss: 0.4673
Epoch 1 Batch 770/1077 - Train Accuracy: 0.7001, Validation Accuracy: 0.6776, Loss: 0.4393
Epoch 1 Batch 771/1077 - Train Accuracy: 0.7047, Validation Accuracy: 0.6740, Loss: 0.4829
Epoch 1 Batch 772/1077 - Train Accuracy: 0.6823, Validation Accuracy: 0.6747, Loss: 0.4429
Epoch 1 Batch 773/1077 - Train Accuracy: 0.6988, Validation Accuracy: 0.6687, Loss: 0.4562
Epoch 1 Batch 774/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.6641, Loss: 0.4706
Epoch 1 Batch 775/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.6648, Loss: 0.4549
Epoch 1 Batch 776/1077 - Train Accuracy: 0.6781, Validation Accuracy: 0.6662, Loss: 0.4504
Epoch 1 Batch 777/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.6751, Loss: 0.4828
Epoch 1 Batch 778/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.6761, Loss: 0.4318
Epoch 1 Batch 779/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.6822, Loss: 0.4879
Epoch 1 Batch 780/1077 - Train Accuracy: 0.6633, Validation Accuracy: 0.6832, Loss: 0.4941
Epoch 1 Batch 781/1077 - Train Accuracy: 0.7392, Validation Accuracy: 0.6829, Loss: 0.4265
Epoch 1 Batch 782/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.6829, Loss: 0.4719
Epoch 1 Batch 783/1077 - Train Accuracy: 0.6745, Validation Accuracy: 0.6854, Loss: 0.4576
Epoch 1 Batch 784/1077 - Train Accuracy: 0.7000, Validation Accuracy: 0.6868, Loss: 0.4593
Epoch 1 Batch 785/1077 - Train Accuracy: 0.7228, Validation Accuracy: 0.6818, Loss: 0.4300
Epoch 1 Batch 786/1077 - Train Accuracy: 0.6340, Validation Accuracy: 0.6786, Loss: 0.4733
Epoch 1 Batch 787/1077 - Train Accuracy: 0.7061, Validation Accuracy: 0.6758, Loss: 0.4243
Epoch 1 Batch 788/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.6779, Loss: 0.4531
Epoch 1 Batch 789/1077 - Train Accuracy: 0.6476, Validation Accuracy: 0.6871, Loss: 0.4712
Epoch 1 Batch 790/1077 - Train Accuracy: 0.6234, Validation Accuracy: 0.6804, Loss: 0.4780
Epoch 1 Batch 791/1077 - Train Accuracy: 0.7105, Validation Accuracy: 0.6797, Loss: 0.4600
Epoch 1 Batch 792/1077 - Train Accuracy: 0.6633, Validation Accuracy: 0.6836, Loss: 0.4694
Epoch 1 Batch 793/1077 - Train Accuracy: 0.7172, Validation Accuracy: 0.6839, Loss: 0.4505
Epoch 1 Batch 794/1077 - Train Accuracy: 0.6449, Validation Accuracy: 0.6928, Loss: 0.4695
Epoch 1 Batch 795/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.6989, Loss: 0.4623
Epoch 1 Batch 796/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.6989, Loss: 0.4553
Epoch 1 Batch 797/1077 - Train Accuracy: 0.6969, Validation Accuracy: 0.7021, Loss: 0.4450
Epoch 1 Batch 798/1077 - Train Accuracy: 0.6707, Validation Accuracy: 0.7028, Loss: 0.4685
Epoch 1 Batch 799/1077 - Train Accuracy: 0.6523, Validation Accuracy: 0.6850, Loss: 0.4971
Epoch 1 Batch 800/1077 - Train Accuracy: 0.6527, Validation Accuracy: 0.6811, Loss: 0.4660
Epoch 1 Batch 801/1077 - Train Accuracy: 0.6664, Validation Accuracy: 0.6871, Loss: 0.4865
Epoch 1 Batch 802/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.6850, Loss: 0.4555
Epoch 1 Batch 803/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.6811, Loss: 0.4810
Epoch 1 Batch 804/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.6818, Loss: 0.4600
Epoch 1 Batch 805/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.6808, Loss: 0.4656
Epoch 1 Batch 806/1077 - Train Accuracy: 0.6875, Validation Accuracy: 0.6832, Loss: 0.4581
Epoch 1 Batch 807/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.6868, Loss: 0.4626
Epoch 1 Batch 808/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.6893, Loss: 0.4599
Epoch 1 Batch 809/1077 - Train Accuracy: 0.6698, Validation Accuracy: 0.6903, Loss: 0.4853
Epoch 1 Batch 810/1077 - Train Accuracy: 0.7028, Validation Accuracy: 0.6843, Loss: 0.4355
Epoch 1 Batch 811/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.6793, Loss: 0.4365
Epoch 1 Batch 812/1077 - Train Accuracy: 0.6387, Validation Accuracy: 0.6804, Loss: 0.4551
Epoch 1 Batch 813/1077 - Train Accuracy: 0.6842, Validation Accuracy: 0.6818, Loss: 0.4593
Epoch 1 Batch 814/1077 - Train Accuracy: 0.6707, Validation Accuracy: 0.6839, Loss: 0.4486
Epoch 1 Batch 815/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.6822, Loss: 0.4728
Epoch 1 Batch 816/1077 - Train Accuracy: 0.7179, Validation Accuracy: 0.6854, Loss: 0.4785
Epoch 1 Batch 817/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.6886, Loss: 0.4919
Epoch 1 Batch 818/1077 - Train Accuracy: 0.6805, Validation Accuracy: 0.6889, Loss: 0.4602
Epoch 1 Batch 819/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.6832, Loss: 0.4397
Epoch 1 Batch 820/1077 - Train Accuracy: 0.6625, Validation Accuracy: 0.6786, Loss: 0.4789
Epoch 1 Batch 821/1077 - Train Accuracy: 0.6625, Validation Accuracy: 0.6808, Loss: 0.4623
Epoch 1 Batch 822/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.6825, Loss: 0.4528
Epoch 1 Batch 823/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6857, Loss: 0.4539
Epoch 1 Batch 824/1077 - Train Accuracy: 0.6812, Validation Accuracy: 0.7010, Loss: 0.4326
Epoch 1 Batch 825/1077 - Train Accuracy: 0.6695, Validation Accuracy: 0.7081, Loss: 0.4590
Epoch 1 Batch 826/1077 - Train Accuracy: 0.7080, Validation Accuracy: 0.7092, Loss: 0.4231
Epoch 1 Batch 827/1077 - Train Accuracy: 0.6748, Validation Accuracy: 0.7077, Loss: 0.4809
Epoch 1 Batch 828/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7124, Loss: 0.4723
Epoch 1 Batch 829/1077 - Train Accuracy: 0.6883, Validation Accuracy: 0.6964, Loss: 0.4879
Epoch 1 Batch 830/1077 - Train Accuracy: 0.6977, Validation Accuracy: 0.6935, Loss: 0.4513
Epoch 1 Batch 831/1077 - Train Accuracy: 0.6699, Validation Accuracy: 0.6903, Loss: 0.4684
Epoch 1 Batch 832/1077 - Train Accuracy: 0.6859, Validation Accuracy: 0.6886, Loss: 0.4649
Epoch 1 Batch 833/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.6832, Loss: 0.4648
Epoch 1 Batch 834/1077 - Train Accuracy: 0.7053, Validation Accuracy: 0.6832, Loss: 0.4399
Epoch 1 Batch 835/1077 - Train Accuracy: 0.7016, Validation Accuracy: 0.6786, Loss: 0.4591
Epoch 1 Batch 836/1077 - Train Accuracy: 0.6299, Validation Accuracy: 0.6829, Loss: 0.4750
Epoch 1 Batch 837/1077 - Train Accuracy: 0.6695, Validation Accuracy: 0.6836, Loss: 0.4975
Epoch 1 Batch 838/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.6832, Loss: 0.4512
Epoch 1 Batch 839/1077 - Train Accuracy: 0.7164, Validation Accuracy: 0.6875, Loss: 0.4400
Epoch 1 Batch 840/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.6893, Loss: 0.4617
Epoch 1 Batch 841/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.6900, Loss: 0.4457
Epoch 1 Batch 842/1077 - Train Accuracy: 0.6762, Validation Accuracy: 0.6914, Loss: 0.4541
Epoch 1 Batch 843/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.6907, Loss: 0.4250
Epoch 1 Batch 844/1077 - Train Accuracy: 0.6927, Validation Accuracy: 0.6967, Loss: 0.4382
Epoch 1 Batch 845/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.6942, Loss: 0.4482
Epoch 1 Batch 846/1077 - Train Accuracy: 0.7020, Validation Accuracy: 0.7013, Loss: 0.4689
Epoch 1 Batch 847/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.6989, Loss: 0.4658
Epoch 1 Batch 848/1077 - Train Accuracy: 0.7020, Validation Accuracy: 0.7060, Loss: 0.4477
Epoch 1 Batch 849/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.6939, Loss: 0.4556
Epoch 1 Batch 850/1077 - Train Accuracy: 0.6823, Validation Accuracy: 0.6996, Loss: 0.4977
Epoch 1 Batch 851/1077 - Train Accuracy: 0.6786, Validation Accuracy: 0.7028, Loss: 0.4378
Epoch 1 Batch 852/1077 - Train Accuracy: 0.6477, Validation Accuracy: 0.6992, Loss: 0.4639
Epoch 1 Batch 853/1077 - Train Accuracy: 0.7129, Validation Accuracy: 0.6950, Loss: 0.4411
Epoch 1 Batch 854/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.6886, Loss: 0.4578
Epoch 1 Batch 855/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6939, Loss: 0.4522
Epoch 1 Batch 856/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6921, Loss: 0.4500
Epoch 1 Batch 857/1077 - Train Accuracy: 0.6934, Validation Accuracy: 0.6903, Loss: 0.4421
Epoch 1 Batch 858/1077 - Train Accuracy: 0.6923, Validation Accuracy: 0.6928, Loss: 0.4267
Epoch 1 Batch 859/1077 - Train Accuracy: 0.7059, Validation Accuracy: 0.6939, Loss: 0.4606
Epoch 1 Batch 860/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.6921, Loss: 0.4520
Epoch 1 Batch 861/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.6896, Loss: 0.4467
Epoch 1 Batch 862/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.6847, Loss: 0.4412
Epoch 1 Batch 863/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.6889, Loss: 0.4400
Epoch 1 Batch 864/1077 - Train Accuracy: 0.6934, Validation Accuracy: 0.6871, Loss: 0.4281
Epoch 1 Batch 865/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.6893, Loss: 0.4131
Epoch 1 Batch 866/1077 - Train Accuracy: 0.7210, Validation Accuracy: 0.6882, Loss: 0.4446
Epoch 1 Batch 867/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.6847, Loss: 0.5038
Epoch 1 Batch 868/1077 - Train Accuracy: 0.6941, Validation Accuracy: 0.6836, Loss: 0.4539
Epoch 1 Batch 869/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.6786, Loss: 0.4644
Epoch 1 Batch 870/1077 - Train Accuracy: 0.6435, Validation Accuracy: 0.6786, Loss: 0.4777
Epoch 1 Batch 871/1077 - Train Accuracy: 0.6633, Validation Accuracy: 0.6822, Loss: 0.4452
Epoch 1 Batch 872/1077 - Train Accuracy: 0.7023, Validation Accuracy: 0.6832, Loss: 0.4429
Epoch 1 Batch 873/1077 - Train Accuracy: 0.6895, Validation Accuracy: 0.6822, Loss: 0.4516
Epoch 1 Batch 874/1077 - Train Accuracy: 0.6441, Validation Accuracy: 0.6832, Loss: 0.4707
Epoch 1 Batch 875/1077 - Train Accuracy: 0.6820, Validation Accuracy: 0.6868, Loss: 0.4542
Epoch 1 Batch 876/1077 - Train Accuracy: 0.6598, Validation Accuracy: 0.6882, Loss: 0.4777
Epoch 1 Batch 877/1077 - Train Accuracy: 0.6848, Validation Accuracy: 0.6868, Loss: 0.4555
Epoch 1 Batch 878/1077 - Train Accuracy: 0.7105, Validation Accuracy: 0.6839, Loss: 0.4528
Epoch 1 Batch 879/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.6879, Loss: 0.4250
Epoch 1 Batch 880/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.6825, Loss: 0.4327
Epoch 1 Batch 881/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.6808, Loss: 0.4643
Epoch 1 Batch 882/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.6808, Loss: 0.4730
Epoch 1 Batch 883/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.6843, Loss: 0.5045
Epoch 1 Batch 884/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.6914, Loss: 0.4257
Epoch 1 Batch 885/1077 - Train Accuracy: 0.7081, Validation Accuracy: 0.6950, Loss: 0.3835
Epoch 1 Batch 886/1077 - Train Accuracy: 0.6680, Validation Accuracy: 0.6950, Loss: 0.4563
Epoch 1 Batch 887/1077 - Train Accuracy: 0.7043, Validation Accuracy: 0.6886, Loss: 0.4815
Epoch 1 Batch 888/1077 - Train Accuracy: 0.7068, Validation Accuracy: 0.6825, Loss: 0.4295
Epoch 1 Batch 889/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.6751, Loss: 0.4552
Epoch 1 Batch 890/1077 - Train Accuracy: 0.7470, Validation Accuracy: 0.6811, Loss: 0.4318
Epoch 1 Batch 891/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.6847, Loss: 0.4561
Epoch 1 Batch 892/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.6832, Loss: 0.4247
Epoch 1 Batch 893/1077 - Train Accuracy: 0.7008, Validation Accuracy: 0.6829, Loss: 0.4462
Epoch 1 Batch 894/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.6847, Loss: 0.4225
Epoch 1 Batch 895/1077 - Train Accuracy: 0.6668, Validation Accuracy: 0.6854, Loss: 0.4485
Epoch 1 Batch 896/1077 - Train Accuracy: 0.6345, Validation Accuracy: 0.6818, Loss: 0.4787
Epoch 1 Batch 897/1077 - Train Accuracy: 0.7076, Validation Accuracy: 0.6836, Loss: 0.4065
Epoch 1 Batch 898/1077 - Train Accuracy: 0.7072, Validation Accuracy: 0.7056, Loss: 0.4101
Epoch 1 Batch 899/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7067, Loss: 0.4613
Epoch 1 Batch 900/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7053, Loss: 0.4685
Epoch 1 Batch 901/1077 - Train Accuracy: 0.7087, Validation Accuracy: 0.7021, Loss: 0.4581
Epoch 1 Batch 902/1077 - Train Accuracy: 0.7124, Validation Accuracy: 0.6967, Loss: 0.4569
Epoch 1 Batch 903/1077 - Train Accuracy: 0.7012, Validation Accuracy: 0.6896, Loss: 0.4502
Epoch 1 Batch 904/1077 - Train Accuracy: 0.6445, Validation Accuracy: 0.6829, Loss: 0.4682
Epoch 1 Batch 905/1077 - Train Accuracy: 0.7129, Validation Accuracy: 0.6768, Loss: 0.4281
Epoch 1 Batch 906/1077 - Train Accuracy: 0.6723, Validation Accuracy: 0.6765, Loss: 0.4299
Epoch 1 Batch 907/1077 - Train Accuracy: 0.6902, Validation Accuracy: 0.6768, Loss: 0.4407
Epoch 1 Batch 908/1077 - Train Accuracy: 0.6680, Validation Accuracy: 0.6793, Loss: 0.4715
Epoch 1 Batch 909/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.6779, Loss: 0.4458
Epoch 1 Batch 910/1077 - Train Accuracy: 0.6704, Validation Accuracy: 0.6765, Loss: 0.4404
Epoch 1 Batch 911/1077 - Train Accuracy: 0.7241, Validation Accuracy: 0.6737, Loss: 0.4029
Epoch 1 Batch 912/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.6715, Loss: 0.4529
Epoch 1 Batch 913/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.6829, Loss: 0.4870
Epoch 1 Batch 914/1077 - Train Accuracy: 0.7712, Validation Accuracy: 0.7006, Loss: 0.4068
Epoch 1 Batch 915/1077 - Train Accuracy: 0.6480, Validation Accuracy: 0.7017, Loss: 0.4792
Epoch 1 Batch 916/1077 - Train Accuracy: 0.7043, Validation Accuracy: 0.7042, Loss: 0.4753
Epoch 1 Batch 917/1077 - Train Accuracy: 0.6742, Validation Accuracy: 0.7028, Loss: 0.4554
Epoch 1 Batch 918/1077 - Train Accuracy: 0.7247, Validation Accuracy: 0.7035, Loss: 0.4277
Epoch 1 Batch 919/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7092, Loss: 0.4379
Epoch 1 Batch 920/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.7131, Loss: 0.4594
Epoch 1 Batch 921/1077 - Train Accuracy: 0.6758, Validation Accuracy: 0.7109, Loss: 0.4589
Epoch 1 Batch 922/1077 - Train Accuracy: 0.6923, Validation Accuracy: 0.7003, Loss: 0.4271
Epoch 1 Batch 923/1077 - Train Accuracy: 0.6731, Validation Accuracy: 0.7077, Loss: 0.4811
Epoch 1 Batch 924/1077 - Train Accuracy: 0.6994, Validation Accuracy: 0.7070, Loss: 0.4899
Epoch 1 Batch 925/1077 - Train Accuracy: 0.6886, Validation Accuracy: 0.7021, Loss: 0.4322
Epoch 1 Batch 926/1077 - Train Accuracy: 0.6660, Validation Accuracy: 0.6957, Loss: 0.4394
Epoch 1 Batch 927/1077 - Train Accuracy: 0.6328, Validation Accuracy: 0.6776, Loss: 0.4709
Epoch 1 Batch 928/1077 - Train Accuracy: 0.6828, Validation Accuracy: 0.6751, Loss: 0.4584
Epoch 1 Batch 929/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.6758, Loss: 0.4544
Epoch 1 Batch 930/1077 - Train Accuracy: 0.6809, Validation Accuracy: 0.6804, Loss: 0.4349
Epoch 1 Batch 931/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.6793, Loss: 0.4501
Epoch 1 Batch 932/1077 - Train Accuracy: 0.6453, Validation Accuracy: 0.6818, Loss: 0.4554
Epoch 1 Batch 933/1077 - Train Accuracy: 0.6824, Validation Accuracy: 0.6800, Loss: 0.4543
Epoch 1 Batch 934/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.6836, Loss: 0.4395
Epoch 1 Batch 935/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.6804, Loss: 0.4639
Epoch 1 Batch 936/1077 - Train Accuracy: 0.6775, Validation Accuracy: 0.6903, Loss: 0.4513
Epoch 1 Batch 937/1077 - Train Accuracy: 0.7130, Validation Accuracy: 0.7003, Loss: 0.4733
Epoch 1 Batch 938/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7045, Loss: 0.4717
Epoch 1 Batch 939/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.7021, Loss: 0.4444
Epoch 1 Batch 940/1077 - Train Accuracy: 0.6902, Validation Accuracy: 0.6996, Loss: 0.4591
Epoch 1 Batch 941/1077 - Train Accuracy: 0.7132, Validation Accuracy: 0.7116, Loss: 0.4297
Epoch 1 Batch 942/1077 - Train Accuracy: 0.7051, Validation Accuracy: 0.7077, Loss: 0.4469
Epoch 1 Batch 943/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7045, Loss: 0.4571
Epoch 1 Batch 944/1077 - Train Accuracy: 0.6894, Validation Accuracy: 0.7042, Loss: 0.4320
Epoch 1 Batch 945/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7013, Loss: 0.4327
Epoch 1 Batch 946/1077 - Train Accuracy: 0.6924, Validation Accuracy: 0.6985, Loss: 0.4307
Epoch 1 Batch 947/1077 - Train Accuracy: 0.6674, Validation Accuracy: 0.6847, Loss: 0.4824
Epoch 1 Batch 948/1077 - Train Accuracy: 0.6730, Validation Accuracy: 0.6815, Loss: 0.4285
Epoch 1 Batch 949/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.6705, Loss: 0.3987
Epoch 1 Batch 950/1077 - Train Accuracy: 0.6603, Validation Accuracy: 0.6768, Loss: 0.4253
Epoch 1 Batch 951/1077 - Train Accuracy: 0.7050, Validation Accuracy: 0.6829, Loss: 0.4400
Epoch 1 Batch 952/1077 - Train Accuracy: 0.7016, Validation Accuracy: 0.6836, Loss: 0.4326
Epoch 1 Batch 953/1077 - Train Accuracy: 0.6982, Validation Accuracy: 0.6768, Loss: 0.4478
Epoch 1 Batch 954/1077 - Train Accuracy: 0.6434, Validation Accuracy: 0.6804, Loss: 0.4383
Epoch 1 Batch 955/1077 - Train Accuracy: 0.6887, Validation Accuracy: 0.6843, Loss: 0.4412
Epoch 1 Batch 956/1077 - Train Accuracy: 0.7137, Validation Accuracy: 0.6914, Loss: 0.4591
Epoch 1 Batch 957/1077 - Train Accuracy: 0.7169, Validation Accuracy: 0.6950, Loss: 0.4167
Epoch 1 Batch 958/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.7031, Loss: 0.4356
Epoch 1 Batch 959/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7028, Loss: 0.4195
Epoch 1 Batch 960/1077 - Train Accuracy: 0.7106, Validation Accuracy: 0.7013, Loss: 0.4277
Epoch 1 Batch 961/1077 - Train Accuracy: 0.6898, Validation Accuracy: 0.7053, Loss: 0.4535
Epoch 1 Batch 962/1077 - Train Accuracy: 0.7042, Validation Accuracy: 0.7127, Loss: 0.4298
Epoch 1 Batch 963/1077 - Train Accuracy: 0.6784, Validation Accuracy: 0.7106, Loss: 0.5025
Epoch 1 Batch 964/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7060, Loss: 0.4178
Epoch 1 Batch 965/1077 - Train Accuracy: 0.6875, Validation Accuracy: 0.6946, Loss: 0.4637
Epoch 1 Batch 966/1077 - Train Accuracy: 0.7245, Validation Accuracy: 0.6871, Loss: 0.3905
Epoch 1 Batch 967/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.6864, Loss: 0.4382
Epoch 1 Batch 968/1077 - Train Accuracy: 0.6523, Validation Accuracy: 0.6896, Loss: 0.4639
Epoch 1 Batch 969/1077 - Train Accuracy: 0.7042, Validation Accuracy: 0.6932, Loss: 0.4603
Epoch 1 Batch 970/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.6893, Loss: 0.4681
Epoch 1 Batch 971/1077 - Train Accuracy: 0.7046, Validation Accuracy: 0.6921, Loss: 0.4177
Epoch 1 Batch 972/1077 - Train Accuracy: 0.6605, Validation Accuracy: 0.6953, Loss: 0.4350
Epoch 1 Batch 973/1077 - Train Accuracy: 0.7385, Validation Accuracy: 0.7038, Loss: 0.4064
Epoch 1 Batch 974/1077 - Train Accuracy: 0.6543, Validation Accuracy: 0.6974, Loss: 0.4309
Epoch 1 Batch 975/1077 - Train Accuracy: 0.7147, Validation Accuracy: 0.6978, Loss: 0.4178
Epoch 1 Batch 976/1077 - Train Accuracy: 0.6832, Validation Accuracy: 0.6957, Loss: 0.4176
Epoch 1 Batch 977/1077 - Train Accuracy: 0.7266, Validation Accuracy: 0.6996, Loss: 0.4290
Epoch 1 Batch 978/1077 - Train Accuracy: 0.7227, Validation Accuracy: 0.7006, Loss: 0.4495
Epoch 1 Batch 979/1077 - Train Accuracy: 0.7142, Validation Accuracy: 0.6992, Loss: 0.4561
Epoch 1 Batch 980/1077 - Train Accuracy: 0.7188, Validation Accuracy: 0.6992, Loss: 0.4205
Epoch 1 Batch 981/1077 - Train Accuracy: 0.6988, Validation Accuracy: 0.7060, Loss: 0.4322
Epoch 1 Batch 982/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.7085, Loss: 0.4169
Epoch 1 Batch 983/1077 - Train Accuracy: 0.6998, Validation Accuracy: 0.7234, Loss: 0.4612
Epoch 1 Batch 984/1077 - Train Accuracy: 0.6496, Validation Accuracy: 0.7251, Loss: 0.4840
Epoch 1 Batch 985/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7223, Loss: 0.4188
Epoch 1 Batch 986/1077 - Train Accuracy: 0.6770, Validation Accuracy: 0.7131, Loss: 0.4380
Epoch 1 Batch 987/1077 - Train Accuracy: 0.6856, Validation Accuracy: 0.7006, Loss: 0.4039
Epoch 1 Batch 988/1077 - Train Accuracy: 0.6504, Validation Accuracy: 0.7021, Loss: 0.4419
Epoch 1 Batch 989/1077 - Train Accuracy: 0.6750, Validation Accuracy: 0.7024, Loss: 0.4408
Epoch 1 Batch 990/1077 - Train Accuracy: 0.7122, Validation Accuracy: 0.7013, Loss: 0.4481
Epoch 1 Batch 991/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7113, Loss: 0.4248
Epoch 1 Batch 992/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7085, Loss: 0.4312
Epoch 1 Batch 993/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7141, Loss: 0.4188
Epoch 1 Batch 994/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.7156, Loss: 0.4309
Epoch 1 Batch 995/1077 - Train Accuracy: 0.7165, Validation Accuracy: 0.7273, Loss: 0.4205
Epoch 1 Batch 996/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.7202, Loss: 0.4388
Epoch 1 Batch 997/1077 - Train Accuracy: 0.7002, Validation Accuracy: 0.7163, Loss: 0.4626
Epoch 1 Batch 998/1077 - Train Accuracy: 0.6766, Validation Accuracy: 0.7124, Loss: 0.4140
Epoch 1 Batch 999/1077 - Train Accuracy: 0.7133, Validation Accuracy: 0.7113, Loss: 0.4311
Epoch 1 Batch 1000/1077 - Train Accuracy: 0.7440, Validation Accuracy: 0.7031, Loss: 0.3981
Epoch 1 Batch 1001/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.7017, Loss: 0.3995
Epoch 1 Batch 1002/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.6946, Loss: 0.4270
Epoch 1 Batch 1003/1077 - Train Accuracy: 0.7315, Validation Accuracy: 0.7003, Loss: 0.4336
Epoch 1 Batch 1004/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7003, Loss: 0.4399
Epoch 1 Batch 1005/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.7028, Loss: 0.4250
Epoch 1 Batch 1006/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.6932, Loss: 0.3963
Epoch 1 Batch 1007/1077 - Train Accuracy: 0.7474, Validation Accuracy: 0.6974, Loss: 0.4035
Epoch 1 Batch 1008/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.6999, Loss: 0.4531
Epoch 1 Batch 1009/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7056, Loss: 0.4116
Epoch 1 Batch 1010/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.7124, Loss: 0.4262
Epoch 1 Batch 1011/1077 - Train Accuracy: 0.7047, Validation Accuracy: 0.7141, Loss: 0.4318
Epoch 1 Batch 1012/1077 - Train Accuracy: 0.6998, Validation Accuracy: 0.7152, Loss: 0.4093
Epoch 1 Batch 1013/1077 - Train Accuracy: 0.7407, Validation Accuracy: 0.7156, Loss: 0.4024
Epoch 1 Batch 1014/1077 - Train Accuracy: 0.6992, Validation Accuracy: 0.7227, Loss: 0.4434
Epoch 1 Batch 1015/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7287, Loss: 0.4638
Epoch 1 Batch 1016/1077 - Train Accuracy: 0.6708, Validation Accuracy: 0.7290, Loss: 0.4452
Epoch 1 Batch 1017/1077 - Train Accuracy: 0.7171, Validation Accuracy: 0.7223, Loss: 0.4405
Epoch 1 Batch 1018/1077 - Train Accuracy: 0.7042, Validation Accuracy: 0.7262, Loss: 0.4166
Epoch 1 Batch 1019/1077 - Train Accuracy: 0.7122, Validation Accuracy: 0.7255, Loss: 0.4816
Epoch 1 Batch 1020/1077 - Train Accuracy: 0.7230, Validation Accuracy: 0.7184, Loss: 0.3926
Epoch 1 Batch 1021/1077 - Train Accuracy: 0.6979, Validation Accuracy: 0.7188, Loss: 0.4246
Epoch 1 Batch 1022/1077 - Train Accuracy: 0.7444, Validation Accuracy: 0.7152, Loss: 0.3977
Epoch 1 Batch 1023/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7198, Loss: 0.4128
Epoch 1 Batch 1024/1077 - Train Accuracy: 0.6902, Validation Accuracy: 0.7237, Loss: 0.4602
Epoch 1 Batch 1025/1077 - Train Accuracy: 0.7046, Validation Accuracy: 0.7262, Loss: 0.4334
Epoch 1 Batch 1026/1077 - Train Accuracy: 0.7556, Validation Accuracy: 0.7244, Loss: 0.4143
Epoch 1 Batch 1027/1077 - Train Accuracy: 0.6762, Validation Accuracy: 0.7184, Loss: 0.4575
Epoch 1 Batch 1028/1077 - Train Accuracy: 0.6756, Validation Accuracy: 0.7180, Loss: 0.4293
Epoch 1 Batch 1029/1077 - Train Accuracy: 0.7051, Validation Accuracy: 0.7152, Loss: 0.4129
Epoch 1 Batch 1030/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.7166, Loss: 0.4303
Epoch 1 Batch 1031/1077 - Train Accuracy: 0.6801, Validation Accuracy: 0.7156, Loss: 0.4542
Epoch 1 Batch 1032/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.7092, Loss: 0.4361
Epoch 1 Batch 1033/1077 - Train Accuracy: 0.6771, Validation Accuracy: 0.7063, Loss: 0.4146
Epoch 1 Batch 1034/1077 - Train Accuracy: 0.6582, Validation Accuracy: 0.7131, Loss: 0.4495
Epoch 1 Batch 1035/1077 - Train Accuracy: 0.7214, Validation Accuracy: 0.7095, Loss: 0.3936
Epoch 1 Batch 1036/1077 - Train Accuracy: 0.6972, Validation Accuracy: 0.7006, Loss: 0.4242
Epoch 1 Batch 1037/1077 - Train Accuracy: 0.6590, Validation Accuracy: 0.7013, Loss: 0.4426
Epoch 1 Batch 1038/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7028, Loss: 0.4350
Epoch 1 Batch 1039/1077 - Train Accuracy: 0.7217, Validation Accuracy: 0.6957, Loss: 0.4232
Epoch 1 Batch 1040/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.7028, Loss: 0.4661
Epoch 1 Batch 1041/1077 - Train Accuracy: 0.6770, Validation Accuracy: 0.7106, Loss: 0.4496
Epoch 1 Batch 1042/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7113, Loss: 0.4399
Epoch 1 Batch 1043/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7191, Loss: 0.4305
Epoch 1 Batch 1044/1077 - Train Accuracy: 0.7203, Validation Accuracy: 0.7134, Loss: 0.4448
Epoch 1 Batch 1045/1077 - Train Accuracy: 0.6648, Validation Accuracy: 0.7141, Loss: 0.4371
Epoch 1 Batch 1046/1077 - Train Accuracy: 0.7273, Validation Accuracy: 0.7166, Loss: 0.4004
Epoch 1 Batch 1047/1077 - Train Accuracy: 0.7207, Validation Accuracy: 0.7141, Loss: 0.4132
Epoch 1 Batch 1048/1077 - Train Accuracy: 0.6980, Validation Accuracy: 0.7085, Loss: 0.4375
Epoch 1 Batch 1049/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.6992, Loss: 0.4286
Epoch 1 Batch 1050/1077 - Train Accuracy: 0.6617, Validation Accuracy: 0.6982, Loss: 0.4336
Epoch 1 Batch 1051/1077 - Train Accuracy: 0.7522, Validation Accuracy: 0.6967, Loss: 0.3955
Epoch 1 Batch 1052/1077 - Train Accuracy: 0.7388, Validation Accuracy: 0.6974, Loss: 0.3997
Epoch 1 Batch 1053/1077 - Train Accuracy: 0.7042, Validation Accuracy: 0.6996, Loss: 0.4181
Epoch 1 Batch 1054/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7003, Loss: 0.4130
Epoch 1 Batch 1055/1077 - Train Accuracy: 0.7520, Validation Accuracy: 0.7113, Loss: 0.4161
Epoch 1 Batch 1056/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7056, Loss: 0.4011
Epoch 1 Batch 1057/1077 - Train Accuracy: 0.6711, Validation Accuracy: 0.7031, Loss: 0.4404
Epoch 1 Batch 1058/1077 - Train Accuracy: 0.7052, Validation Accuracy: 0.7077, Loss: 0.4465
Epoch 1 Batch 1059/1077 - Train Accuracy: 0.6748, Validation Accuracy: 0.7120, Loss: 0.4591
Epoch 1 Batch 1060/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7038, Loss: 0.4140
Epoch 1 Batch 1061/1077 - Train Accuracy: 0.7055, Validation Accuracy: 0.7049, Loss: 0.4450
Epoch 1 Batch 1062/1077 - Train Accuracy: 0.6750, Validation Accuracy: 0.7038, Loss: 0.4213
Epoch 1 Batch 1063/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.7042, Loss: 0.4127
Epoch 1 Batch 1064/1077 - Train Accuracy: 0.7430, Validation Accuracy: 0.7184, Loss: 0.4359
Epoch 1 Batch 1065/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.7219, Loss: 0.4199
Epoch 1 Batch 1066/1077 - Train Accuracy: 0.7203, Validation Accuracy: 0.7298, Loss: 0.4081
Epoch 1 Batch 1067/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7315, Loss: 0.4348
Epoch 1 Batch 1068/1077 - Train Accuracy: 0.7379, Validation Accuracy: 0.7216, Loss: 0.4006
Epoch 1 Batch 1069/1077 - Train Accuracy: 0.7545, Validation Accuracy: 0.7259, Loss: 0.3894
Epoch 1 Batch 1070/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.7298, Loss: 0.4230
Epoch 1 Batch 1071/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7259, Loss: 0.4157
Epoch 1 Batch 1072/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.7273, Loss: 0.4069
Epoch 1 Batch 1073/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.7177, Loss: 0.4289
Epoch 1 Batch 1074/1077 - Train Accuracy: 0.7251, Validation Accuracy: 0.7188, Loss: 0.4435
Epoch 1 Batch 1075/1077 - Train Accuracy: 0.7150, Validation Accuracy: 0.7180, Loss: 0.4590
Epoch 2 Batch 1/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.7102, Loss: 0.4161
Epoch 2 Batch 2/1077 - Train Accuracy: 0.6620, Validation Accuracy: 0.7053, Loss: 0.4543
Epoch 2 Batch 3/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.6982, Loss: 0.4116
Epoch 2 Batch 4/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.6974, Loss: 0.4309
Epoch 2 Batch 5/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.6974, Loss: 0.4513
Epoch 2 Batch 6/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.6946, Loss: 0.4401
Epoch 2 Batch 7/1077 - Train Accuracy: 0.6723, Validation Accuracy: 0.7024, Loss: 0.4082
Epoch 2 Batch 8/1077 - Train Accuracy: 0.7004, Validation Accuracy: 0.7060, Loss: 0.4157
Epoch 2 Batch 9/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7127, Loss: 0.4148
Epoch 2 Batch 10/1077 - Train Accuracy: 0.7056, Validation Accuracy: 0.7113, Loss: 0.4574
Epoch 2 Batch 11/1077 - Train Accuracy: 0.6749, Validation Accuracy: 0.7085, Loss: 0.4277
Epoch 2 Batch 12/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7102, Loss: 0.4301
Epoch 2 Batch 13/1077 - Train Accuracy: 0.7228, Validation Accuracy: 0.7180, Loss: 0.4200
Epoch 2 Batch 14/1077 - Train Accuracy: 0.7180, Validation Accuracy: 0.7269, Loss: 0.3780
Epoch 2 Batch 15/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7216, Loss: 0.4097
Epoch 2 Batch 16/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7290, Loss: 0.4371
Epoch 2 Batch 17/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7298, Loss: 0.4035
Epoch 2 Batch 18/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7347, Loss: 0.4298
Epoch 2 Batch 19/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7287, Loss: 0.4319
Epoch 2 Batch 20/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.7255, Loss: 0.3934
Epoch 2 Batch 21/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.7195, Loss: 0.4438
Epoch 2 Batch 22/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7077, Loss: 0.4463
Epoch 2 Batch 23/1077 - Train Accuracy: 0.6973, Validation Accuracy: 0.7081, Loss: 0.4099
Epoch 2 Batch 24/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.7042, Loss: 0.4012
Epoch 2 Batch 25/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.7081, Loss: 0.4083
Epoch 2 Batch 26/1077 - Train Accuracy: 0.6684, Validation Accuracy: 0.7060, Loss: 0.4427
Epoch 2 Batch 27/1077 - Train Accuracy: 0.7232, Validation Accuracy: 0.7074, Loss: 0.3772
Epoch 2 Batch 28/1077 - Train Accuracy: 0.7344, Validation Accuracy: 0.7106, Loss: 0.4132
Epoch 2 Batch 29/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.7074, Loss: 0.4093
Epoch 2 Batch 30/1077 - Train Accuracy: 0.7172, Validation Accuracy: 0.7049, Loss: 0.4043
Epoch 2 Batch 31/1077 - Train Accuracy: 0.6988, Validation Accuracy: 0.7099, Loss: 0.4233
Epoch 2 Batch 32/1077 - Train Accuracy: 0.6942, Validation Accuracy: 0.7188, Loss: 0.4067
Epoch 2 Batch 33/1077 - Train Accuracy: 0.6979, Validation Accuracy: 0.7166, Loss: 0.3991
Epoch 2 Batch 34/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7166, Loss: 0.4340
Epoch 2 Batch 35/1077 - Train Accuracy: 0.7246, Validation Accuracy: 0.7333, Loss: 0.4152
Epoch 2 Batch 36/1077 - Train Accuracy: 0.6910, Validation Accuracy: 0.7283, Loss: 0.4033
Epoch 2 Batch 37/1077 - Train Accuracy: 0.6973, Validation Accuracy: 0.7315, Loss: 0.4093
Epoch 2 Batch 38/1077 - Train Accuracy: 0.6632, Validation Accuracy: 0.7294, Loss: 0.4632
Epoch 2 Batch 39/1077 - Train Accuracy: 0.7164, Validation Accuracy: 0.7227, Loss: 0.4811
Epoch 2 Batch 40/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7148, Loss: 0.4175
Epoch 2 Batch 41/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7152, Loss: 0.4146
Epoch 2 Batch 42/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7106, Loss: 0.4235
Epoch 2 Batch 43/1077 - Train Accuracy: 0.7282, Validation Accuracy: 0.7180, Loss: 0.4195
Epoch 2 Batch 44/1077 - Train Accuracy: 0.7101, Validation Accuracy: 0.7173, Loss: 0.4387
Epoch 2 Batch 45/1077 - Train Accuracy: 0.7457, Validation Accuracy: 0.7173, Loss: 0.4133
Epoch 2 Batch 46/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.7205, Loss: 0.4437
Epoch 2 Batch 47/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7212, Loss: 0.4266
Epoch 2 Batch 48/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7322, Loss: 0.4475
Epoch 2 Batch 49/1077 - Train Accuracy: 0.7016, Validation Accuracy: 0.7315, Loss: 0.4382
Epoch 2 Batch 50/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7312, Loss: 0.4113
Epoch 2 Batch 51/1077 - Train Accuracy: 0.7105, Validation Accuracy: 0.7290, Loss: 0.4066
Epoch 2 Batch 52/1077 - Train Accuracy: 0.6758, Validation Accuracy: 0.7308, Loss: 0.4127
Epoch 2 Batch 53/1077 - Train Accuracy: 0.7163, Validation Accuracy: 0.7255, Loss: 0.4402
Epoch 2 Batch 54/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.7298, Loss: 0.4682
Epoch 2 Batch 55/1077 - Train Accuracy: 0.7473, Validation Accuracy: 0.7251, Loss: 0.4228
Epoch 2 Batch 56/1077 - Train Accuracy: 0.6934, Validation Accuracy: 0.7216, Loss: 0.3955
Epoch 2 Batch 57/1077 - Train Accuracy: 0.7276, Validation Accuracy: 0.7223, Loss: 0.3793
Epoch 2 Batch 58/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7255, Loss: 0.4071
Epoch 2 Batch 59/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7205, Loss: 0.4349
Epoch 2 Batch 60/1077 - Train Accuracy: 0.6782, Validation Accuracy: 0.7223, Loss: 0.3955
Epoch 2 Batch 61/1077 - Train Accuracy: 0.6754, Validation Accuracy: 0.7195, Loss: 0.4276
Epoch 2 Batch 62/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.7202, Loss: 0.4438
Epoch 2 Batch 63/1077 - Train Accuracy: 0.7478, Validation Accuracy: 0.7198, Loss: 0.3904
Epoch 2 Batch 64/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.7298, Loss: 0.3949
Epoch 2 Batch 65/1077 - Train Accuracy: 0.6739, Validation Accuracy: 0.7322, Loss: 0.4243
Epoch 2 Batch 66/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7315, Loss: 0.3780
Epoch 2 Batch 67/1077 - Train Accuracy: 0.7321, Validation Accuracy: 0.7244, Loss: 0.4096
Epoch 2 Batch 68/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.7283, Loss: 0.4209
Epoch 2 Batch 69/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7276, Loss: 0.4614
Epoch 2 Batch 70/1077 - Train Accuracy: 0.6830, Validation Accuracy: 0.7269, Loss: 0.4464
Epoch 2 Batch 71/1077 - Train Accuracy: 0.7266, Validation Accuracy: 0.7255, Loss: 0.3915
Epoch 2 Batch 72/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7191, Loss: 0.4175
Epoch 2 Batch 73/1077 - Train Accuracy: 0.7051, Validation Accuracy: 0.7180, Loss: 0.4391
Epoch 2 Batch 74/1077 - Train Accuracy: 0.6864, Validation Accuracy: 0.7141, Loss: 0.3773
Epoch 2 Batch 75/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7234, Loss: 0.4289
Epoch 2 Batch 76/1077 - Train Accuracy: 0.7074, Validation Accuracy: 0.7290, Loss: 0.4031
Epoch 2 Batch 77/1077 - Train Accuracy: 0.6824, Validation Accuracy: 0.7234, Loss: 0.4165
Epoch 2 Batch 78/1077 - Train Accuracy: 0.6801, Validation Accuracy: 0.7259, Loss: 0.4360
Epoch 2 Batch 79/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7266, Loss: 0.4157
Epoch 2 Batch 80/1077 - Train Accuracy: 0.7215, Validation Accuracy: 0.7298, Loss: 0.4054
Epoch 2 Batch 81/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.7251, Loss: 0.4106
Epoch 2 Batch 82/1077 - Train Accuracy: 0.7528, Validation Accuracy: 0.7259, Loss: 0.3643
Epoch 2 Batch 83/1077 - Train Accuracy: 0.6817, Validation Accuracy: 0.7273, Loss: 0.4354
Epoch 2 Batch 84/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7287, Loss: 0.4219
Epoch 2 Batch 85/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7280, Loss: 0.3858
Epoch 2 Batch 86/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7294, Loss: 0.4096
Epoch 2 Batch 87/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7280, Loss: 0.4267
Epoch 2 Batch 88/1077 - Train Accuracy: 0.7305, Validation Accuracy: 0.7283, Loss: 0.4152
Epoch 2 Batch 89/1077 - Train Accuracy: 0.6992, Validation Accuracy: 0.7234, Loss: 0.4120
Epoch 2 Batch 90/1077 - Train Accuracy: 0.6977, Validation Accuracy: 0.7198, Loss: 0.4419
Epoch 2 Batch 91/1077 - Train Accuracy: 0.7303, Validation Accuracy: 0.7202, Loss: 0.3693
Epoch 2 Batch 92/1077 - Train Accuracy: 0.7005, Validation Accuracy: 0.7308, Loss: 0.3978
Epoch 2 Batch 93/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7315, Loss: 0.4246
Epoch 2 Batch 94/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7397, Loss: 0.3908
Epoch 2 Batch 95/1077 - Train Accuracy: 0.7042, Validation Accuracy: 0.7429, Loss: 0.4319
Epoch 2 Batch 96/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.7344, Loss: 0.4040
Epoch 2 Batch 97/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7340, Loss: 0.4100
Epoch 2 Batch 98/1077 - Train Accuracy: 0.7545, Validation Accuracy: 0.7340, Loss: 0.3956
Epoch 2 Batch 99/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7344, Loss: 0.4167
Epoch 2 Batch 100/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7347, Loss: 0.3976
Epoch 2 Batch 101/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7312, Loss: 0.3991
Epoch 2 Batch 102/1077 - Train Accuracy: 0.7285, Validation Accuracy: 0.7351, Loss: 0.3943
Epoch 2 Batch 103/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.7283, Loss: 0.4588
Epoch 2 Batch 104/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.7259, Loss: 0.4490
Epoch 2 Batch 105/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.7116, Loss: 0.4189
Epoch 2 Batch 106/1077 - Train Accuracy: 0.6859, Validation Accuracy: 0.7092, Loss: 0.4557
Epoch 2 Batch 107/1077 - Train Accuracy: 0.6793, Validation Accuracy: 0.7131, Loss: 0.3850
Epoch 2 Batch 108/1077 - Train Accuracy: 0.7358, Validation Accuracy: 0.7156, Loss: 0.3767
Epoch 2 Batch 109/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7177, Loss: 0.4052
Epoch 2 Batch 110/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7177, Loss: 0.3869
Epoch 2 Batch 111/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7148, Loss: 0.4349
Epoch 2 Batch 112/1077 - Train Accuracy: 0.7246, Validation Accuracy: 0.7212, Loss: 0.4045
Epoch 2 Batch 113/1077 - Train Accuracy: 0.6629, Validation Accuracy: 0.7219, Loss: 0.4219
Epoch 2 Batch 114/1077 - Train Accuracy: 0.7206, Validation Accuracy: 0.7241, Loss: 0.3843
Epoch 2 Batch 115/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7276, Loss: 0.4190
Epoch 2 Batch 116/1077 - Train Accuracy: 0.6691, Validation Accuracy: 0.7198, Loss: 0.4136
Epoch 2 Batch 117/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7216, Loss: 0.4075
Epoch 2 Batch 118/1077 - Train Accuracy: 0.6558, Validation Accuracy: 0.7330, Loss: 0.4342
Epoch 2 Batch 119/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7269, Loss: 0.4018
Epoch 2 Batch 120/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7273, Loss: 0.4477
Epoch 2 Batch 121/1077 - Train Accuracy: 0.7398, Validation Accuracy: 0.7283, Loss: 0.4008
Epoch 2 Batch 122/1077 - Train Accuracy: 0.7215, Validation Accuracy: 0.7262, Loss: 0.4107
Epoch 2 Batch 123/1077 - Train Accuracy: 0.7395, Validation Accuracy: 0.7219, Loss: 0.3800
Epoch 2 Batch 124/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7223, Loss: 0.4529
Epoch 2 Batch 125/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7241, Loss: 0.3998
Epoch 2 Batch 126/1077 - Train Accuracy: 0.7433, Validation Accuracy: 0.7234, Loss: 0.3786
Epoch 2 Batch 127/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7298, Loss: 0.4115
Epoch 2 Batch 128/1077 - Train Accuracy: 0.7455, Validation Accuracy: 0.7362, Loss: 0.3862
Epoch 2 Batch 129/1077 - Train Accuracy: 0.7207, Validation Accuracy: 0.7330, Loss: 0.4072
Epoch 2 Batch 130/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7287, Loss: 0.3900
Epoch 2 Batch 131/1077 - Train Accuracy: 0.7023, Validation Accuracy: 0.7212, Loss: 0.4272
Epoch 2 Batch 132/1077 - Train Accuracy: 0.7004, Validation Accuracy: 0.7042, Loss: 0.4222
Epoch 2 Batch 133/1077 - Train Accuracy: 0.6772, Validation Accuracy: 0.7017, Loss: 0.4230
Epoch 2 Batch 134/1077 - Train Accuracy: 0.7013, Validation Accuracy: 0.7028, Loss: 0.3906
Epoch 2 Batch 135/1077 - Train Accuracy: 0.7142, Validation Accuracy: 0.6974, Loss: 0.4327
Epoch 2 Batch 136/1077 - Train Accuracy: 0.7203, Validation Accuracy: 0.7077, Loss: 0.3957
Epoch 2 Batch 137/1077 - Train Accuracy: 0.7407, Validation Accuracy: 0.7198, Loss: 0.3603
Epoch 2 Batch 138/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7177, Loss: 0.3959
Epoch 2 Batch 139/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.7166, Loss: 0.4130
Epoch 2 Batch 140/1077 - Train Accuracy: 0.6974, Validation Accuracy: 0.7337, Loss: 0.4185
Epoch 2 Batch 141/1077 - Train Accuracy: 0.7176, Validation Accuracy: 0.7347, Loss: 0.4087
Epoch 2 Batch 142/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.7351, Loss: 0.3813
Epoch 2 Batch 143/1077 - Train Accuracy: 0.7137, Validation Accuracy: 0.7362, Loss: 0.4076
Epoch 2 Batch 144/1077 - Train Accuracy: 0.6657, Validation Accuracy: 0.7365, Loss: 0.4510
Epoch 2 Batch 145/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7294, Loss: 0.4294
Epoch 2 Batch 146/1077 - Train Accuracy: 0.7236, Validation Accuracy: 0.7312, Loss: 0.4311
Epoch 2 Batch 147/1077 - Train Accuracy: 0.6738, Validation Accuracy: 0.7290, Loss: 0.4217
Epoch 2 Batch 148/1077 - Train Accuracy: 0.6918, Validation Accuracy: 0.7244, Loss: 0.4110
Epoch 2 Batch 149/1077 - Train Accuracy: 0.7082, Validation Accuracy: 0.7283, Loss: 0.3948
Epoch 2 Batch 150/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.7276, Loss: 0.3897
Epoch 2 Batch 151/1077 - Train Accuracy: 0.7243, Validation Accuracy: 0.7326, Loss: 0.3852
Epoch 2 Batch 152/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7393, Loss: 0.4104
Epoch 2 Batch 153/1077 - Train Accuracy: 0.7141, Validation Accuracy: 0.7393, Loss: 0.4389
Epoch 2 Batch 154/1077 - Train Accuracy: 0.6949, Validation Accuracy: 0.7475, Loss: 0.4354
Epoch 2 Batch 155/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7450, Loss: 0.4016
Epoch 2 Batch 156/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.7337, Loss: 0.4079
Epoch 2 Batch 157/1077 - Train Accuracy: 0.7230, Validation Accuracy: 0.7255, Loss: 0.4071
Epoch 2 Batch 158/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7333, Loss: 0.4016
Epoch 2 Batch 159/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7404, Loss: 0.3530
Epoch 2 Batch 160/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7468, Loss: 0.3702
Epoch 2 Batch 161/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7486, Loss: 0.3943
Epoch 2 Batch 162/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.7489, Loss: 0.4228
Epoch 2 Batch 163/1077 - Train Accuracy: 0.7056, Validation Accuracy: 0.7464, Loss: 0.4447
Epoch 2 Batch 164/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7468, Loss: 0.4173
Epoch 2 Batch 165/1077 - Train Accuracy: 0.7055, Validation Accuracy: 0.7433, Loss: 0.3918
Epoch 2 Batch 166/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7390, Loss: 0.4094
Epoch 2 Batch 167/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7393, Loss: 0.4265
Epoch 2 Batch 168/1077 - Train Accuracy: 0.7076, Validation Accuracy: 0.7429, Loss: 0.4318
Epoch 2 Batch 169/1077 - Train Accuracy: 0.7266, Validation Accuracy: 0.7433, Loss: 0.4059
Epoch 2 Batch 170/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.7436, Loss: 0.4139
Epoch 2 Batch 171/1077 - Train Accuracy: 0.7163, Validation Accuracy: 0.7422, Loss: 0.3900
Epoch 2 Batch 172/1077 - Train Accuracy: 0.7139, Validation Accuracy: 0.7347, Loss: 0.3584
Epoch 2 Batch 173/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.7322, Loss: 0.4349
Epoch 2 Batch 174/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7376, Loss: 0.3982
Epoch 2 Batch 175/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7259, Loss: 0.3925
Epoch 2 Batch 176/1077 - Train Accuracy: 0.6934, Validation Accuracy: 0.7269, Loss: 0.3889
Epoch 2 Batch 177/1077 - Train Accuracy: 0.7134, Validation Accuracy: 0.7273, Loss: 0.4332
Epoch 2 Batch 178/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7237, Loss: 0.4059
Epoch 2 Batch 179/1077 - Train Accuracy: 0.7463, Validation Accuracy: 0.7163, Loss: 0.4108
Epoch 2 Batch 180/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7191, Loss: 0.3922
Epoch 2 Batch 181/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7237, Loss: 0.3983
Epoch 2 Batch 182/1077 - Train Accuracy: 0.7083, Validation Accuracy: 0.7280, Loss: 0.3951
Epoch 2 Batch 183/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.7280, Loss: 0.4152
Epoch 2 Batch 184/1077 - Train Accuracy: 0.7531, Validation Accuracy: 0.7269, Loss: 0.3724
Epoch 2 Batch 185/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.7305, Loss: 0.3929
Epoch 2 Batch 186/1077 - Train Accuracy: 0.7294, Validation Accuracy: 0.7287, Loss: 0.4186
Epoch 2 Batch 187/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7280, Loss: 0.3954
Epoch 2 Batch 188/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.7283, Loss: 0.3945
Epoch 2 Batch 189/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7376, Loss: 0.4012
Epoch 2 Batch 190/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7411, Loss: 0.3818
Epoch 2 Batch 191/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7372, Loss: 0.3659
Epoch 2 Batch 192/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7393, Loss: 0.4173
Epoch 2 Batch 193/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7429, Loss: 0.3923
Epoch 2 Batch 194/1077 - Train Accuracy: 0.7612, Validation Accuracy: 0.7404, Loss: 0.3582
Epoch 2 Batch 195/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.7418, Loss: 0.3926
Epoch 2 Batch 196/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7393, Loss: 0.3972
Epoch 2 Batch 197/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7422, Loss: 0.4095
Epoch 2 Batch 198/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7418, Loss: 0.3682
Epoch 2 Batch 199/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7418, Loss: 0.3800
Epoch 2 Batch 200/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.7422, Loss: 0.4096
Epoch 2 Batch 201/1077 - Train Accuracy: 0.7016, Validation Accuracy: 0.7436, Loss: 0.3713
Epoch 2 Batch 202/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7401, Loss: 0.4015
Epoch 2 Batch 203/1077 - Train Accuracy: 0.6805, Validation Accuracy: 0.7390, Loss: 0.3982
Epoch 2 Batch 204/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7330, Loss: 0.4358
Epoch 2 Batch 205/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7280, Loss: 0.4120
Epoch 2 Batch 206/1077 - Train Accuracy: 0.7391, Validation Accuracy: 0.7294, Loss: 0.3678
Epoch 2 Batch 207/1077 - Train Accuracy: 0.6652, Validation Accuracy: 0.7244, Loss: 0.4150
Epoch 2 Batch 208/1077 - Train Accuracy: 0.7024, Validation Accuracy: 0.7244, Loss: 0.3943
Epoch 2 Batch 209/1077 - Train Accuracy: 0.7310, Validation Accuracy: 0.7244, Loss: 0.3635
Epoch 2 Batch 210/1077 - Train Accuracy: 0.7433, Validation Accuracy: 0.7230, Loss: 0.3887
Epoch 2 Batch 211/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7347, Loss: 0.3791
Epoch 2 Batch 212/1077 - Train Accuracy: 0.7210, Validation Accuracy: 0.7372, Loss: 0.3643
Epoch 2 Batch 213/1077 - Train Accuracy: 0.7312, Validation Accuracy: 0.7376, Loss: 0.3541
Epoch 2 Batch 214/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7411, Loss: 0.3805
Epoch 2 Batch 215/1077 - Train Accuracy: 0.6937, Validation Accuracy: 0.7383, Loss: 0.4061
Epoch 2 Batch 216/1077 - Train Accuracy: 0.7078, Validation Accuracy: 0.7354, Loss: 0.4018
Epoch 2 Batch 217/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7397, Loss: 0.3856
Epoch 2 Batch 218/1077 - Train Accuracy: 0.7175, Validation Accuracy: 0.7383, Loss: 0.4413
Epoch 2 Batch 219/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7354, Loss: 0.3892
Epoch 2 Batch 220/1077 - Train Accuracy: 0.7105, Validation Accuracy: 0.7344, Loss: 0.4006
Epoch 2 Batch 221/1077 - Train Accuracy: 0.7558, Validation Accuracy: 0.7390, Loss: 0.4082
Epoch 2 Batch 222/1077 - Train Accuracy: 0.7020, Validation Accuracy: 0.7393, Loss: 0.4135
Epoch 2 Batch 223/1077 - Train Accuracy: 0.7388, Validation Accuracy: 0.7433, Loss: 0.3549
Epoch 2 Batch 224/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7500, Loss: 0.3980
Epoch 2 Batch 225/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7571, Loss: 0.3974
Epoch 2 Batch 226/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7479, Loss: 0.3985
Epoch 2 Batch 227/1077 - Train Accuracy: 0.6570, Validation Accuracy: 0.7496, Loss: 0.4373
Epoch 2 Batch 228/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7468, Loss: 0.3809
Epoch 2 Batch 229/1077 - Train Accuracy: 0.7484, Validation Accuracy: 0.7511, Loss: 0.3885
Epoch 2 Batch 230/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7457, Loss: 0.3873
Epoch 2 Batch 231/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.7344, Loss: 0.4162
Epoch 2 Batch 232/1077 - Train Accuracy: 0.7183, Validation Accuracy: 0.7340, Loss: 0.4035
Epoch 2 Batch 233/1077 - Train Accuracy: 0.7047, Validation Accuracy: 0.7351, Loss: 0.4273
Epoch 2 Batch 234/1077 - Train Accuracy: 0.7374, Validation Accuracy: 0.7248, Loss: 0.3964
Epoch 2 Batch 235/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7195, Loss: 0.3735
Epoch 2 Batch 236/1077 - Train Accuracy: 0.6984, Validation Accuracy: 0.7209, Loss: 0.4129
Epoch 2 Batch 237/1077 - Train Accuracy: 0.7548, Validation Accuracy: 0.7219, Loss: 0.3590
Epoch 2 Batch 238/1077 - Train Accuracy: 0.7180, Validation Accuracy: 0.7287, Loss: 0.4065
Epoch 2 Batch 239/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7351, Loss: 0.3374
Epoch 2 Batch 240/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7354, Loss: 0.3719
Epoch 2 Batch 241/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7383, Loss: 0.3745
Epoch 2 Batch 242/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7440, Loss: 0.3845
Epoch 2 Batch 243/1077 - Train Accuracy: 0.6578, Validation Accuracy: 0.7354, Loss: 0.3989
Epoch 2 Batch 244/1077 - Train Accuracy: 0.7450, Validation Accuracy: 0.7408, Loss: 0.3847
Epoch 2 Batch 245/1077 - Train Accuracy: 0.7124, Validation Accuracy: 0.7425, Loss: 0.3577
Epoch 2 Batch 246/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7457, Loss: 0.3872
Epoch 2 Batch 247/1077 - Train Accuracy: 0.7708, Validation Accuracy: 0.7440, Loss: 0.3630
Epoch 2 Batch 248/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7433, Loss: 0.3710
Epoch 2 Batch 249/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7333, Loss: 0.3984
Epoch 2 Batch 250/1077 - Train Accuracy: 0.7393, Validation Accuracy: 0.7436, Loss: 0.3627
Epoch 2 Batch 251/1077 - Train Accuracy: 0.6998, Validation Accuracy: 0.7433, Loss: 0.3912
Epoch 2 Batch 252/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7440, Loss: 0.4009
Epoch 2 Batch 253/1077 - Train Accuracy: 0.7319, Validation Accuracy: 0.7369, Loss: 0.3935
Epoch 2 Batch 254/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7322, Loss: 0.4095
Epoch 2 Batch 255/1077 - Train Accuracy: 0.6926, Validation Accuracy: 0.7330, Loss: 0.3768
Epoch 2 Batch 256/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7422, Loss: 0.4185
Epoch 2 Batch 257/1077 - Train Accuracy: 0.7675, Validation Accuracy: 0.7390, Loss: 0.3756
Epoch 2 Batch 258/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7397, Loss: 0.3791
Epoch 2 Batch 259/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.7333, Loss: 0.3909
Epoch 2 Batch 260/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7315, Loss: 0.3628
Epoch 2 Batch 261/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.7315, Loss: 0.3907
Epoch 2 Batch 262/1077 - Train Accuracy: 0.7176, Validation Accuracy: 0.7294, Loss: 0.3704
Epoch 2 Batch 263/1077 - Train Accuracy: 0.7441, Validation Accuracy: 0.7312, Loss: 0.3769
Epoch 2 Batch 264/1077 - Train Accuracy: 0.7188, Validation Accuracy: 0.7312, Loss: 0.4014
Epoch 2 Batch 265/1077 - Train Accuracy: 0.6879, Validation Accuracy: 0.7344, Loss: 0.3887
Epoch 2 Batch 266/1077 - Train Accuracy: 0.7087, Validation Accuracy: 0.7340, Loss: 0.3858
Epoch 2 Batch 267/1077 - Train Accuracy: 0.6825, Validation Accuracy: 0.7337, Loss: 0.3667
Epoch 2 Batch 268/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7472, Loss: 0.4012
Epoch 2 Batch 269/1077 - Train Accuracy: 0.6715, Validation Accuracy: 0.7440, Loss: 0.4152
Epoch 2 Batch 270/1077 - Train Accuracy: 0.6922, Validation Accuracy: 0.7496, Loss: 0.4176
Epoch 2 Batch 271/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.7475, Loss: 0.3831
Epoch 2 Batch 272/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7429, Loss: 0.4407
Epoch 2 Batch 273/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7369, Loss: 0.3749
Epoch 2 Batch 274/1077 - Train Accuracy: 0.7690, Validation Accuracy: 0.7390, Loss: 0.3814
Epoch 2 Batch 275/1077 - Train Accuracy: 0.7225, Validation Accuracy: 0.7411, Loss: 0.3739
Epoch 2 Batch 276/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.7397, Loss: 0.4117
Epoch 2 Batch 277/1077 - Train Accuracy: 0.7210, Validation Accuracy: 0.7425, Loss: 0.3643
Epoch 2 Batch 278/1077 - Train Accuracy: 0.7172, Validation Accuracy: 0.7429, Loss: 0.4259
Epoch 2 Batch 279/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.7440, Loss: 0.4208
Epoch 2 Batch 280/1077 - Train Accuracy: 0.7293, Validation Accuracy: 0.7376, Loss: 0.4112
Epoch 2 Batch 281/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.7386, Loss: 0.4163
Epoch 2 Batch 282/1077 - Train Accuracy: 0.6891, Validation Accuracy: 0.7397, Loss: 0.4316
Epoch 2 Batch 283/1077 - Train Accuracy: 0.7480, Validation Accuracy: 0.7429, Loss: 0.4084
Epoch 2 Batch 284/1077 - Train Accuracy: 0.7234, Validation Accuracy: 0.7351, Loss: 0.4207
Epoch 2 Batch 285/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7280, Loss: 0.3828
Epoch 2 Batch 286/1077 - Train Accuracy: 0.7362, Validation Accuracy: 0.7237, Loss: 0.3763
Epoch 2 Batch 287/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7333, Loss: 0.3688
Epoch 2 Batch 288/1077 - Train Accuracy: 0.6898, Validation Accuracy: 0.7269, Loss: 0.4210
Epoch 2 Batch 289/1077 - Train Accuracy: 0.7449, Validation Accuracy: 0.7202, Loss: 0.3725
Epoch 2 Batch 290/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.7234, Loss: 0.4371
Epoch 2 Batch 291/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7276, Loss: 0.4182
Epoch 2 Batch 292/1077 - Train Accuracy: 0.7440, Validation Accuracy: 0.7298, Loss: 0.3794
Epoch 2 Batch 293/1077 - Train Accuracy: 0.6844, Validation Accuracy: 0.7308, Loss: 0.4031
Epoch 2 Batch 294/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7273, Loss: 0.3674
Epoch 2 Batch 295/1077 - Train Accuracy: 0.7331, Validation Accuracy: 0.7326, Loss: 0.4403
Epoch 2 Batch 296/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.7319, Loss: 0.3633
Epoch 2 Batch 297/1077 - Train Accuracy: 0.6867, Validation Accuracy: 0.7301, Loss: 0.4245
Epoch 2 Batch 298/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7333, Loss: 0.4303
Epoch 2 Batch 299/1077 - Train Accuracy: 0.7133, Validation Accuracy: 0.7344, Loss: 0.3850
Epoch 2 Batch 300/1077 - Train Accuracy: 0.7294, Validation Accuracy: 0.7365, Loss: 0.3837
Epoch 2 Batch 301/1077 - Train Accuracy: 0.7227, Validation Accuracy: 0.7408, Loss: 0.3766
Epoch 2 Batch 302/1077 - Train Accuracy: 0.7535, Validation Accuracy: 0.7347, Loss: 0.3801
Epoch 2 Batch 303/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.7283, Loss: 0.3931
Epoch 2 Batch 304/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7290, Loss: 0.3528
Epoch 2 Batch 305/1077 - Train Accuracy: 0.7398, Validation Accuracy: 0.7301, Loss: 0.3800
Epoch 2 Batch 306/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7315, Loss: 0.3958
Epoch 2 Batch 307/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.7337, Loss: 0.3788
Epoch 2 Batch 308/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.7404, Loss: 0.4082
Epoch 2 Batch 309/1077 - Train Accuracy: 0.7612, Validation Accuracy: 0.7500, Loss: 0.3492
Epoch 2 Batch 310/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7486, Loss: 0.3915
Epoch 2 Batch 311/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7539, Loss: 0.3423
Epoch 2 Batch 312/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7514, Loss: 0.4240
Epoch 2 Batch 313/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7567, Loss: 0.3687
Epoch 2 Batch 314/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.7564, Loss: 0.3795
Epoch 2 Batch 315/1077 - Train Accuracy: 0.7333, Validation Accuracy: 0.7578, Loss: 0.3592
Epoch 2 Batch 316/1077 - Train Accuracy: 0.7537, Validation Accuracy: 0.7582, Loss: 0.3505
Epoch 2 Batch 317/1077 - Train Accuracy: 0.7475, Validation Accuracy: 0.7571, Loss: 0.4232
Epoch 2 Batch 318/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7653, Loss: 0.3873
Epoch 2 Batch 319/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7582, Loss: 0.3810
Epoch 2 Batch 320/1077 - Train Accuracy: 0.7285, Validation Accuracy: 0.7603, Loss: 0.3937
Epoch 2 Batch 321/1077 - Train Accuracy: 0.7246, Validation Accuracy: 0.7631, Loss: 0.3750
Epoch 2 Batch 322/1077 - Train Accuracy: 0.7135, Validation Accuracy: 0.7553, Loss: 0.3567
Epoch 2 Batch 323/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7514, Loss: 0.3752
Epoch 2 Batch 324/1077 - Train Accuracy: 0.7398, Validation Accuracy: 0.7567, Loss: 0.3654
Epoch 2 Batch 325/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7536, Loss: 0.3686
Epoch 2 Batch 326/1077 - Train Accuracy: 0.7370, Validation Accuracy: 0.7539, Loss: 0.3595
Epoch 2 Batch 327/1077 - Train Accuracy: 0.7273, Validation Accuracy: 0.7504, Loss: 0.4026
Epoch 2 Batch 328/1077 - Train Accuracy: 0.7314, Validation Accuracy: 0.7536, Loss: 0.3926
Epoch 2 Batch 329/1077 - Train Accuracy: 0.6973, Validation Accuracy: 0.7496, Loss: 0.3989
Epoch 2 Batch 330/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7433, Loss: 0.3908
Epoch 2 Batch 331/1077 - Train Accuracy: 0.7377, Validation Accuracy: 0.7422, Loss: 0.4033
Epoch 2 Batch 332/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7450, Loss: 0.3549
Epoch 2 Batch 333/1077 - Train Accuracy: 0.7599, Validation Accuracy: 0.7429, Loss: 0.4006
Epoch 2 Batch 334/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7393, Loss: 0.3706
Epoch 2 Batch 335/1077 - Train Accuracy: 0.7615, Validation Accuracy: 0.7436, Loss: 0.3824
Epoch 2 Batch 336/1077 - Train Accuracy: 0.7250, Validation Accuracy: 0.7464, Loss: 0.4029
Epoch 2 Batch 337/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7393, Loss: 0.3940
Epoch 2 Batch 338/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7411, Loss: 0.4072
Epoch 2 Batch 339/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7408, Loss: 0.3733
Epoch 2 Batch 340/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7397, Loss: 0.3807
Epoch 2 Batch 341/1077 - Train Accuracy: 0.7773, Validation Accuracy: 0.7393, Loss: 0.4206
Epoch 2 Batch 342/1077 - Train Accuracy: 0.7068, Validation Accuracy: 0.7369, Loss: 0.3509
Epoch 2 Batch 343/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7340, Loss: 0.3800
Epoch 2 Batch 344/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7351, Loss: 0.3688
Epoch 2 Batch 345/1077 - Train Accuracy: 0.7347, Validation Accuracy: 0.7408, Loss: 0.3683
Epoch 2 Batch 346/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.7433, Loss: 0.4061
Epoch 2 Batch 347/1077 - Train Accuracy: 0.7284, Validation Accuracy: 0.7504, Loss: 0.3766
Epoch 2 Batch 348/1077 - Train Accuracy: 0.7132, Validation Accuracy: 0.7333, Loss: 0.3547
Epoch 2 Batch 349/1077 - Train Accuracy: 0.7035, Validation Accuracy: 0.7326, Loss: 0.3934
Epoch 2 Batch 350/1077 - Train Accuracy: 0.7293, Validation Accuracy: 0.7379, Loss: 0.4099
Epoch 2 Batch 351/1077 - Train Accuracy: 0.7101, Validation Accuracy: 0.7354, Loss: 0.4076
Epoch 2 Batch 352/1077 - Train Accuracy: 0.7105, Validation Accuracy: 0.7362, Loss: 0.4115
Epoch 2 Batch 353/1077 - Train Accuracy: 0.7093, Validation Accuracy: 0.7326, Loss: 0.4227
Epoch 2 Batch 354/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7393, Loss: 0.4136
Epoch 2 Batch 355/1077 - Train Accuracy: 0.7173, Validation Accuracy: 0.7376, Loss: 0.3907
Epoch 2 Batch 356/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7447, Loss: 0.4042
Epoch 2 Batch 357/1077 - Train Accuracy: 0.7165, Validation Accuracy: 0.7447, Loss: 0.3564
Epoch 2 Batch 358/1077 - Train Accuracy: 0.7007, Validation Accuracy: 0.7479, Loss: 0.4064
Epoch 2 Batch 359/1077 - Train Accuracy: 0.7289, Validation Accuracy: 0.7390, Loss: 0.4025
Epoch 2 Batch 360/1077 - Train Accuracy: 0.7020, Validation Accuracy: 0.7383, Loss: 0.3859
Epoch 2 Batch 361/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7365, Loss: 0.3947
Epoch 2 Batch 362/1077 - Train Accuracy: 0.7556, Validation Accuracy: 0.7340, Loss: 0.3727
Epoch 2 Batch 363/1077 - Train Accuracy: 0.7188, Validation Accuracy: 0.7372, Loss: 0.3857
Epoch 2 Batch 364/1077 - Train Accuracy: 0.7469, Validation Accuracy: 0.7379, Loss: 0.4066
Epoch 2 Batch 365/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7440, Loss: 0.3683
Epoch 2 Batch 366/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.7390, Loss: 0.3929
Epoch 2 Batch 367/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7422, Loss: 0.3456
Epoch 2 Batch 368/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7447, Loss: 0.3793
Epoch 2 Batch 369/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7433, Loss: 0.3663
Epoch 2 Batch 370/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7440, Loss: 0.3676
Epoch 2 Batch 371/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7408, Loss: 0.3727
Epoch 2 Batch 372/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7440, Loss: 0.3424
Epoch 2 Batch 373/1077 - Train Accuracy: 0.7485, Validation Accuracy: 0.7447, Loss: 0.3388
Epoch 2 Batch 374/1077 - Train Accuracy: 0.6937, Validation Accuracy: 0.7440, Loss: 0.4164
Epoch 2 Batch 375/1077 - Train Accuracy: 0.7624, Validation Accuracy: 0.7475, Loss: 0.3609
Epoch 2 Batch 376/1077 - Train Accuracy: 0.7415, Validation Accuracy: 0.7433, Loss: 0.3686
Epoch 2 Batch 377/1077 - Train Accuracy: 0.7316, Validation Accuracy: 0.7415, Loss: 0.3857
Epoch 2 Batch 378/1077 - Train Accuracy: 0.7293, Validation Accuracy: 0.7411, Loss: 0.3650
Epoch 2 Batch 379/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7415, Loss: 0.3931
Epoch 2 Batch 380/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7390, Loss: 0.3952
Epoch 2 Batch 381/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.7461, Loss: 0.3886
Epoch 2 Batch 382/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7475, Loss: 0.4198
Epoch 2 Batch 383/1077 - Train Accuracy: 0.7619, Validation Accuracy: 0.7447, Loss: 0.3701
Epoch 2 Batch 384/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7504, Loss: 0.3775
Epoch 2 Batch 385/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7486, Loss: 0.3759
Epoch 2 Batch 386/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7528, Loss: 0.3794
Epoch 2 Batch 387/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7489, Loss: 0.3493
Epoch 2 Batch 388/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7482, Loss: 0.3724
Epoch 2 Batch 389/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7461, Loss: 0.3955
Epoch 2 Batch 390/1077 - Train Accuracy: 0.6789, Validation Accuracy: 0.7425, Loss: 0.3934
Epoch 2 Batch 391/1077 - Train Accuracy: 0.7325, Validation Accuracy: 0.7401, Loss: 0.3878
Epoch 2 Batch 392/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7408, Loss: 0.3810
Epoch 2 Batch 393/1077 - Train Accuracy: 0.7266, Validation Accuracy: 0.7425, Loss: 0.3614
Epoch 2 Batch 394/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7482, Loss: 0.3839
Epoch 2 Batch 395/1077 - Train Accuracy: 0.7303, Validation Accuracy: 0.7479, Loss: 0.3683
Epoch 2 Batch 396/1077 - Train Accuracy: 0.7023, Validation Accuracy: 0.7468, Loss: 0.4028
Epoch 2 Batch 397/1077 - Train Accuracy: 0.7656, Validation Accuracy: 0.7500, Loss: 0.3652
Epoch 2 Batch 398/1077 - Train Accuracy: 0.7229, Validation Accuracy: 0.7560, Loss: 0.4136
Epoch 2 Batch 399/1077 - Train Accuracy: 0.6813, Validation Accuracy: 0.7564, Loss: 0.3890
Epoch 2 Batch 400/1077 - Train Accuracy: 0.7395, Validation Accuracy: 0.7482, Loss: 0.3919
Epoch 2 Batch 401/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7486, Loss: 0.3733
Epoch 2 Batch 402/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7475, Loss: 0.3533
Epoch 2 Batch 403/1077 - Train Accuracy: 0.6910, Validation Accuracy: 0.7418, Loss: 0.4143
Epoch 2 Batch 404/1077 - Train Accuracy: 0.7467, Validation Accuracy: 0.7379, Loss: 0.3398
Epoch 2 Batch 405/1077 - Train Accuracy: 0.7623, Validation Accuracy: 0.7340, Loss: 0.3957
Epoch 2 Batch 406/1077 - Train Accuracy: 0.7919, Validation Accuracy: 0.7362, Loss: 0.3901
Epoch 2 Batch 407/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7383, Loss: 0.4020
Epoch 2 Batch 408/1077 - Train Accuracy: 0.7074, Validation Accuracy: 0.7379, Loss: 0.3830
Epoch 2 Batch 409/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7379, Loss: 0.3867
Epoch 2 Batch 410/1077 - Train Accuracy: 0.6908, Validation Accuracy: 0.7436, Loss: 0.3876
Epoch 2 Batch 411/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7461, Loss: 0.3719
Epoch 2 Batch 412/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7461, Loss: 0.3483
Epoch 2 Batch 413/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7440, Loss: 0.3587
Epoch 2 Batch 414/1077 - Train Accuracy: 0.6969, Validation Accuracy: 0.7450, Loss: 0.3902
Epoch 2 Batch 415/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7401, Loss: 0.3657
Epoch 2 Batch 416/1077 - Train Accuracy: 0.7098, Validation Accuracy: 0.7369, Loss: 0.3852
Epoch 2 Batch 417/1077 - Train Accuracy: 0.7129, Validation Accuracy: 0.7347, Loss: 0.4274
Epoch 2 Batch 418/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7450, Loss: 0.3628
Epoch 2 Batch 419/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7486, Loss: 0.3766
Epoch 2 Batch 420/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7507, Loss: 0.3608
Epoch 2 Batch 421/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.7518, Loss: 0.3870
Epoch 2 Batch 422/1077 - Train Accuracy: 0.7307, Validation Accuracy: 0.7532, Loss: 0.3484
Epoch 2 Batch 423/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7468, Loss: 0.3888
Epoch 2 Batch 424/1077 - Train Accuracy: 0.6539, Validation Accuracy: 0.7440, Loss: 0.3865
Epoch 2 Batch 425/1077 - Train Accuracy: 0.7649, Validation Accuracy: 0.7425, Loss: 0.3544
Epoch 2 Batch 426/1077 - Train Accuracy: 0.7227, Validation Accuracy: 0.7393, Loss: 0.3703
Epoch 2 Batch 427/1077 - Train Accuracy: 0.6916, Validation Accuracy: 0.7354, Loss: 0.3682
Epoch 2 Batch 428/1077 - Train Accuracy: 0.7429, Validation Accuracy: 0.7322, Loss: 0.3529
Epoch 2 Batch 429/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7294, Loss: 0.3681
Epoch 2 Batch 430/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.7326, Loss: 0.3762
Epoch 2 Batch 431/1077 - Train Accuracy: 0.6984, Validation Accuracy: 0.7354, Loss: 0.3829
Epoch 2 Batch 432/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7305, Loss: 0.3758
Epoch 2 Batch 433/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7319, Loss: 0.3780
Epoch 2 Batch 434/1077 - Train Accuracy: 0.6898, Validation Accuracy: 0.7376, Loss: 0.3589
Epoch 2 Batch 435/1077 - Train Accuracy: 0.7784, Validation Accuracy: 0.7301, Loss: 0.3972
Epoch 2 Batch 436/1077 - Train Accuracy: 0.7247, Validation Accuracy: 0.7308, Loss: 0.3812
Epoch 2 Batch 437/1077 - Train Accuracy: 0.6934, Validation Accuracy: 0.7344, Loss: 0.3621
Epoch 2 Batch 438/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.7365, Loss: 0.3692
Epoch 2 Batch 439/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.7326, Loss: 0.3947
Epoch 2 Batch 440/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7390, Loss: 0.3822
Epoch 2 Batch 441/1077 - Train Accuracy: 0.6742, Validation Accuracy: 0.7390, Loss: 0.3748
Epoch 2 Batch 442/1077 - Train Accuracy: 0.6942, Validation Accuracy: 0.7393, Loss: 0.3786
Epoch 2 Batch 443/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7450, Loss: 0.3619
Epoch 2 Batch 444/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7418, Loss: 0.3854
Epoch 2 Batch 445/1077 - Train Accuracy: 0.6846, Validation Accuracy: 0.7354, Loss: 0.3991
Epoch 2 Batch 446/1077 - Train Accuracy: 0.7065, Validation Accuracy: 0.7358, Loss: 0.3378
Epoch 2 Batch 447/1077 - Train Accuracy: 0.7188, Validation Accuracy: 0.7294, Loss: 0.3991
Epoch 2 Batch 448/1077 - Train Accuracy: 0.7176, Validation Accuracy: 0.7362, Loss: 0.4102
Epoch 2 Batch 449/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7379, Loss: 0.4068
Epoch 2 Batch 450/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7344, Loss: 0.3672
Epoch 2 Batch 451/1077 - Train Accuracy: 0.7429, Validation Accuracy: 0.7415, Loss: 0.3607
Epoch 2 Batch 452/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.7418, Loss: 0.3901
Epoch 2 Batch 453/1077 - Train Accuracy: 0.7608, Validation Accuracy: 0.7429, Loss: 0.3632
Epoch 2 Batch 454/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7500, Loss: 0.3577
Epoch 2 Batch 455/1077 - Train Accuracy: 0.7237, Validation Accuracy: 0.7578, Loss: 0.3614
Epoch 2 Batch 456/1077 - Train Accuracy: 0.7484, Validation Accuracy: 0.7553, Loss: 0.3909
Epoch 2 Batch 457/1077 - Train Accuracy: 0.7321, Validation Accuracy: 0.7511, Loss: 0.3445
Epoch 2 Batch 458/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.7564, Loss: 0.3807
Epoch 2 Batch 459/1077 - Train Accuracy: 0.7310, Validation Accuracy: 0.7592, Loss: 0.3463
Epoch 2 Batch 460/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7539, Loss: 0.3950
Epoch 2 Batch 461/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7521, Loss: 0.3627
Epoch 2 Batch 462/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7496, Loss: 0.3639
Epoch 2 Batch 463/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7450, Loss: 0.3968
Epoch 2 Batch 464/1077 - Train Accuracy: 0.7531, Validation Accuracy: 0.7436, Loss: 0.3833
Epoch 2 Batch 465/1077 - Train Accuracy: 0.7241, Validation Accuracy: 0.7379, Loss: 0.4006
Epoch 2 Batch 466/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7312, Loss: 0.3456
Epoch 2 Batch 467/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7308, Loss: 0.3871
Epoch 2 Batch 468/1077 - Train Accuracy: 0.7600, Validation Accuracy: 0.7298, Loss: 0.3794
Epoch 2 Batch 469/1077 - Train Accuracy: 0.6953, Validation Accuracy: 0.7298, Loss: 0.3832
Epoch 2 Batch 470/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.7337, Loss: 0.3844
Epoch 2 Batch 471/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7319, Loss: 0.3457
Epoch 2 Batch 472/1077 - Train Accuracy: 0.7132, Validation Accuracy: 0.7319, Loss: 0.3371
Epoch 2 Batch 473/1077 - Train Accuracy: 0.7242, Validation Accuracy: 0.7393, Loss: 0.3763
Epoch 2 Batch 474/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.7450, Loss: 0.4007
Epoch 2 Batch 475/1077 - Train Accuracy: 0.7723, Validation Accuracy: 0.7447, Loss: 0.3596
Epoch 2 Batch 476/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7379, Loss: 0.3626
Epoch 2 Batch 477/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7383, Loss: 0.3657
Epoch 2 Batch 478/1077 - Train Accuracy: 0.7385, Validation Accuracy: 0.7397, Loss: 0.3684
Epoch 2 Batch 479/1077 - Train Accuracy: 0.7000, Validation Accuracy: 0.7379, Loss: 0.4020
Epoch 2 Batch 480/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7344, Loss: 0.3878
Epoch 2 Batch 481/1077 - Train Accuracy: 0.7000, Validation Accuracy: 0.7322, Loss: 0.3774
Epoch 2 Batch 482/1077 - Train Accuracy: 0.7044, Validation Accuracy: 0.7340, Loss: 0.4033
Epoch 2 Batch 483/1077 - Train Accuracy: 0.7063, Validation Accuracy: 0.7418, Loss: 0.3819
Epoch 2 Batch 484/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7358, Loss: 0.3705
Epoch 2 Batch 485/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7422, Loss: 0.3630
Epoch 2 Batch 486/1077 - Train Accuracy: 0.7455, Validation Accuracy: 0.7429, Loss: 0.3801
Epoch 2 Batch 487/1077 - Train Accuracy: 0.7237, Validation Accuracy: 0.7312, Loss: 0.3774
Epoch 2 Batch 488/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7347, Loss: 0.3838
Epoch 2 Batch 489/1077 - Train Accuracy: 0.7206, Validation Accuracy: 0.7312, Loss: 0.3493
Epoch 2 Batch 490/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7301, Loss: 0.3894
Epoch 2 Batch 491/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7290, Loss: 0.3796
Epoch 2 Batch 492/1077 - Train Accuracy: 0.7234, Validation Accuracy: 0.7308, Loss: 0.3648
Epoch 2 Batch 493/1077 - Train Accuracy: 0.7667, Validation Accuracy: 0.7255, Loss: 0.3455
Epoch 2 Batch 494/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7276, Loss: 0.3630
Epoch 2 Batch 495/1077 - Train Accuracy: 0.7117, Validation Accuracy: 0.7276, Loss: 0.3662
Epoch 2 Batch 496/1077 - Train Accuracy: 0.7316, Validation Accuracy: 0.7315, Loss: 0.3755
Epoch 2 Batch 497/1077 - Train Accuracy: 0.6990, Validation Accuracy: 0.7422, Loss: 0.4107
Epoch 2 Batch 498/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7418, Loss: 0.3612
Epoch 2 Batch 499/1077 - Train Accuracy: 0.6931, Validation Accuracy: 0.7475, Loss: 0.3524
Epoch 2 Batch 500/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7447, Loss: 0.3540
Epoch 2 Batch 501/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7447, Loss: 0.3670
Epoch 2 Batch 502/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7475, Loss: 0.3792
Epoch 2 Batch 503/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7454, Loss: 0.3602
Epoch 2 Batch 504/1077 - Train Accuracy: 0.6957, Validation Accuracy: 0.7461, Loss: 0.3863
Epoch 2 Batch 505/1077 - Train Accuracy: 0.7653, Validation Accuracy: 0.7433, Loss: 0.3295
Epoch 2 Batch 506/1077 - Train Accuracy: 0.6809, Validation Accuracy: 0.7411, Loss: 0.3664
Epoch 2 Batch 507/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.7422, Loss: 0.3781
Epoch 2 Batch 508/1077 - Train Accuracy: 0.7303, Validation Accuracy: 0.7429, Loss: 0.3576
Epoch 2 Batch 509/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7433, Loss: 0.3823
Epoch 2 Batch 510/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7450, Loss: 0.3592
Epoch 2 Batch 511/1077 - Train Accuracy: 0.6871, Validation Accuracy: 0.7386, Loss: 0.3673
Epoch 2 Batch 512/1077 - Train Accuracy: 0.7453, Validation Accuracy: 0.7379, Loss: 0.3596
Epoch 2 Batch 513/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7390, Loss: 0.3836
Epoch 2 Batch 514/1077 - Train Accuracy: 0.6965, Validation Accuracy: 0.7351, Loss: 0.3913
Epoch 2 Batch 515/1077 - Train Accuracy: 0.6980, Validation Accuracy: 0.7415, Loss: 0.3897
Epoch 2 Batch 516/1077 - Train Accuracy: 0.7697, Validation Accuracy: 0.7440, Loss: 0.3467
Epoch 2 Batch 517/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7436, Loss: 0.3683
Epoch 2 Batch 518/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7482, Loss: 0.3503
Epoch 2 Batch 519/1077 - Train Accuracy: 0.7227, Validation Accuracy: 0.7521, Loss: 0.3584
Epoch 2 Batch 520/1077 - Train Accuracy: 0.7638, Validation Accuracy: 0.7564, Loss: 0.3450
Epoch 2 Batch 521/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7607, Loss: 0.3582
Epoch 2 Batch 522/1077 - Train Accuracy: 0.6914, Validation Accuracy: 0.7578, Loss: 0.3932
Epoch 2 Batch 523/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7603, Loss: 0.3860
Epoch 2 Batch 524/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.7603, Loss: 0.3758
Epoch 2 Batch 525/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7589, Loss: 0.3658
Epoch 2 Batch 526/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7532, Loss: 0.3671
Epoch 2 Batch 527/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7546, Loss: 0.3598
Epoch 2 Batch 528/1077 - Train Accuracy: 0.7473, Validation Accuracy: 0.7464, Loss: 0.3941
Epoch 2 Batch 529/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7479, Loss: 0.3633
Epoch 2 Batch 530/1077 - Train Accuracy: 0.7184, Validation Accuracy: 0.7369, Loss: 0.3627
Epoch 2 Batch 531/1077 - Train Accuracy: 0.7086, Validation Accuracy: 0.7401, Loss: 0.3462
Epoch 2 Batch 532/1077 - Train Accuracy: 0.6719, Validation Accuracy: 0.7365, Loss: 0.3746
Epoch 2 Batch 533/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7298, Loss: 0.3949
Epoch 2 Batch 534/1077 - Train Accuracy: 0.7370, Validation Accuracy: 0.7262, Loss: 0.3670
Epoch 2 Batch 535/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7227, Loss: 0.3652
Epoch 2 Batch 536/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7237, Loss: 0.3776
Epoch 2 Batch 537/1077 - Train Accuracy: 0.7164, Validation Accuracy: 0.7315, Loss: 0.3698
Epoch 2 Batch 538/1077 - Train Accuracy: 0.7768, Validation Accuracy: 0.7312, Loss: 0.3349
Epoch 2 Batch 539/1077 - Train Accuracy: 0.7250, Validation Accuracy: 0.7397, Loss: 0.3728
Epoch 2 Batch 540/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7386, Loss: 0.3380
Epoch 2 Batch 541/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7443, Loss: 0.3770
Epoch 2 Batch 542/1077 - Train Accuracy: 0.7305, Validation Accuracy: 0.7511, Loss: 0.3633
Epoch 2 Batch 543/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7479, Loss: 0.3621
Epoch 2 Batch 544/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7425, Loss: 0.3666
Epoch 2 Batch 545/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7411, Loss: 0.3894
Epoch 2 Batch 546/1077 - Train Accuracy: 0.7102, Validation Accuracy: 0.7440, Loss: 0.3992
Epoch 2 Batch 547/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7415, Loss: 0.3539
Epoch 2 Batch 548/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7408, Loss: 0.3895
Epoch 2 Batch 549/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.7450, Loss: 0.4143
Epoch 2 Batch 550/1077 - Train Accuracy: 0.7195, Validation Accuracy: 0.7472, Loss: 0.3772
Epoch 2 Batch 551/1077 - Train Accuracy: 0.7352, Validation Accuracy: 0.7425, Loss: 0.3877
Epoch 2 Batch 552/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7521, Loss: 0.3783
Epoch 2 Batch 553/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7525, Loss: 0.3855
Epoch 2 Batch 554/1077 - Train Accuracy: 0.7379, Validation Accuracy: 0.7518, Loss: 0.3679
Epoch 2 Batch 555/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7468, Loss: 0.3598
Epoch 2 Batch 556/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7408, Loss: 0.3629
Epoch 2 Batch 557/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7425, Loss: 0.3548
Epoch 2 Batch 558/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7425, Loss: 0.3579
Epoch 2 Batch 559/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7354, Loss: 0.3665
Epoch 2 Batch 560/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7344, Loss: 0.3561
Epoch 2 Batch 561/1077 - Train Accuracy: 0.7519, Validation Accuracy: 0.7315, Loss: 0.3463
Epoch 2 Batch 562/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7322, Loss: 0.3300
Epoch 2 Batch 563/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.7269, Loss: 0.3905
Epoch 2 Batch 564/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7312, Loss: 0.3686
Epoch 2 Batch 565/1077 - Train Accuracy: 0.7556, Validation Accuracy: 0.7429, Loss: 0.3787
Epoch 2 Batch 566/1077 - Train Accuracy: 0.7480, Validation Accuracy: 0.7440, Loss: 0.3755
Epoch 2 Batch 567/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7436, Loss: 0.3787
Epoch 2 Batch 568/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7393, Loss: 0.3425
Epoch 2 Batch 569/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7390, Loss: 0.3498
Epoch 2 Batch 570/1077 - Train Accuracy: 0.7315, Validation Accuracy: 0.7333, Loss: 0.3733
Epoch 2 Batch 571/1077 - Train Accuracy: 0.7288, Validation Accuracy: 0.7344, Loss: 0.3281
Epoch 2 Batch 572/1077 - Train Accuracy: 0.7400, Validation Accuracy: 0.7312, Loss: 0.3517
Epoch 2 Batch 573/1077 - Train Accuracy: 0.7074, Validation Accuracy: 0.7333, Loss: 0.3994
Epoch 2 Batch 574/1077 - Train Accuracy: 0.7130, Validation Accuracy: 0.7354, Loss: 0.3627
Epoch 2 Batch 575/1077 - Train Accuracy: 0.7385, Validation Accuracy: 0.7322, Loss: 0.3491
Epoch 2 Batch 576/1077 - Train Accuracy: 0.7389, Validation Accuracy: 0.7280, Loss: 0.3762
Epoch 2 Batch 577/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.7315, Loss: 0.3899
Epoch 2 Batch 578/1077 - Train Accuracy: 0.7395, Validation Accuracy: 0.7312, Loss: 0.3795
Epoch 2 Batch 579/1077 - Train Accuracy: 0.7172, Validation Accuracy: 0.7298, Loss: 0.3608
Epoch 2 Batch 580/1077 - Train Accuracy: 0.7560, Validation Accuracy: 0.7340, Loss: 0.3301
Epoch 2 Batch 581/1077 - Train Accuracy: 0.7242, Validation Accuracy: 0.7422, Loss: 0.3394
Epoch 2 Batch 582/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7454, Loss: 0.3596
Epoch 2 Batch 583/1077 - Train Accuracy: 0.7521, Validation Accuracy: 0.7436, Loss: 0.3841
Epoch 2 Batch 584/1077 - Train Accuracy: 0.7288, Validation Accuracy: 0.7401, Loss: 0.3787
Epoch 2 Batch 585/1077 - Train Accuracy: 0.7764, Validation Accuracy: 0.7436, Loss: 0.3155
Epoch 2 Batch 586/1077 - Train Accuracy: 0.7175, Validation Accuracy: 0.7443, Loss: 0.3816
Epoch 2 Batch 587/1077 - Train Accuracy: 0.7537, Validation Accuracy: 0.7447, Loss: 0.3483
Epoch 2 Batch 588/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7440, Loss: 0.3568
Epoch 2 Batch 589/1077 - Train Accuracy: 0.7146, Validation Accuracy: 0.7433, Loss: 0.3805
Epoch 2 Batch 590/1077 - Train Accuracy: 0.7031, Validation Accuracy: 0.7397, Loss: 0.4104
Epoch 2 Batch 591/1077 - Train Accuracy: 0.7702, Validation Accuracy: 0.7393, Loss: 0.3555
Epoch 2 Batch 592/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7351, Loss: 0.3812
Epoch 2 Batch 593/1077 - Train Accuracy: 0.7411, Validation Accuracy: 0.7340, Loss: 0.3687
Epoch 2 Batch 594/1077 - Train Accuracy: 0.7371, Validation Accuracy: 0.7362, Loss: 0.3865
Epoch 2 Batch 595/1077 - Train Accuracy: 0.7234, Validation Accuracy: 0.7472, Loss: 0.3732
Epoch 2 Batch 596/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7511, Loss: 0.3634
Epoch 2 Batch 597/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7557, Loss: 0.3696
Epoch 2 Batch 598/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7546, Loss: 0.3453
Epoch 2 Batch 599/1077 - Train Accuracy: 0.6973, Validation Accuracy: 0.7493, Loss: 0.3990
Epoch 2 Batch 600/1077 - Train Accuracy: 0.7593, Validation Accuracy: 0.7486, Loss: 0.3513
Epoch 2 Batch 601/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7546, Loss: 0.3572
Epoch 2 Batch 602/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7450, Loss: 0.3557
Epoch 2 Batch 603/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7454, Loss: 0.3625
Epoch 2 Batch 604/1077 - Train Accuracy: 0.6984, Validation Accuracy: 0.7401, Loss: 0.3955
Epoch 2 Batch 605/1077 - Train Accuracy: 0.7706, Validation Accuracy: 0.7422, Loss: 0.3811
Epoch 2 Batch 606/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7418, Loss: 0.3273
Epoch 2 Batch 607/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7482, Loss: 0.3519
Epoch 2 Batch 608/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7486, Loss: 0.3833
Epoch 2 Batch 609/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7454, Loss: 0.3698
Epoch 2 Batch 610/1077 - Train Accuracy: 0.7196, Validation Accuracy: 0.7422, Loss: 0.3923
Epoch 2 Batch 611/1077 - Train Accuracy: 0.7008, Validation Accuracy: 0.7457, Loss: 0.3629
Epoch 2 Batch 612/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7425, Loss: 0.3429
Epoch 2 Batch 613/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7369, Loss: 0.3758
Epoch 2 Batch 614/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7386, Loss: 0.3665
Epoch 2 Batch 615/1077 - Train Accuracy: 0.7551, Validation Accuracy: 0.7404, Loss: 0.3462
Epoch 2 Batch 616/1077 - Train Accuracy: 0.6834, Validation Accuracy: 0.7447, Loss: 0.3751
Epoch 2 Batch 617/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7447, Loss: 0.3480
Epoch 2 Batch 618/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7436, Loss: 0.3550
Epoch 2 Batch 619/1077 - Train Accuracy: 0.7044, Validation Accuracy: 0.7450, Loss: 0.3693
Epoch 2 Batch 620/1077 - Train Accuracy: 0.7379, Validation Accuracy: 0.7461, Loss: 0.3512
Epoch 2 Batch 621/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7528, Loss: 0.3658
Epoch 2 Batch 622/1077 - Train Accuracy: 0.7089, Validation Accuracy: 0.7440, Loss: 0.3925
Epoch 2 Batch 623/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7450, Loss: 0.3807
Epoch 2 Batch 624/1077 - Train Accuracy: 0.7705, Validation Accuracy: 0.7454, Loss: 0.3305
Epoch 2 Batch 625/1077 - Train Accuracy: 0.7602, Validation Accuracy: 0.7454, Loss: 0.3666
Epoch 2 Batch 626/1077 - Train Accuracy: 0.7915, Validation Accuracy: 0.7440, Loss: 0.3240
Epoch 2 Batch 627/1077 - Train Accuracy: 0.7445, Validation Accuracy: 0.7415, Loss: 0.3679
Epoch 2 Batch 628/1077 - Train Accuracy: 0.7246, Validation Accuracy: 0.7464, Loss: 0.3697
Epoch 2 Batch 629/1077 - Train Accuracy: 0.7097, Validation Accuracy: 0.7496, Loss: 0.3740
Epoch 2 Batch 630/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7500, Loss: 0.3604
Epoch 2 Batch 631/1077 - Train Accuracy: 0.7124, Validation Accuracy: 0.7557, Loss: 0.3750
Epoch 2 Batch 632/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7621, Loss: 0.3305
Epoch 2 Batch 633/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7621, Loss: 0.3607
Epoch 2 Batch 634/1077 - Train Accuracy: 0.7526, Validation Accuracy: 0.7624, Loss: 0.3206
Epoch 2 Batch 635/1077 - Train Accuracy: 0.7200, Validation Accuracy: 0.7589, Loss: 0.3897
Epoch 2 Batch 636/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7628, Loss: 0.3367
Epoch 2 Batch 637/1077 - Train Accuracy: 0.7242, Validation Accuracy: 0.7635, Loss: 0.3749
Epoch 2 Batch 638/1077 - Train Accuracy: 0.7068, Validation Accuracy: 0.7575, Loss: 0.3654
Epoch 2 Batch 639/1077 - Train Accuracy: 0.7477, Validation Accuracy: 0.7585, Loss: 0.3709
Epoch 2 Batch 640/1077 - Train Accuracy: 0.7161, Validation Accuracy: 0.7617, Loss: 0.3520
Epoch 2 Batch 641/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7631, Loss: 0.3594
Epoch 2 Batch 642/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7635, Loss: 0.3649
Epoch 2 Batch 643/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7717, Loss: 0.3485
Epoch 2 Batch 644/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7674, Loss: 0.3741
Epoch 2 Batch 645/1077 - Train Accuracy: 0.7541, Validation Accuracy: 0.7621, Loss: 0.3487
Epoch 2 Batch 646/1077 - Train Accuracy: 0.7429, Validation Accuracy: 0.7564, Loss: 0.3581
Epoch 2 Batch 647/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7543, Loss: 0.3478
Epoch 2 Batch 648/1077 - Train Accuracy: 0.7593, Validation Accuracy: 0.7496, Loss: 0.3352
Epoch 2 Batch 649/1077 - Train Accuracy: 0.7180, Validation Accuracy: 0.7496, Loss: 0.3678
Epoch 2 Batch 650/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7496, Loss: 0.3569
Epoch 2 Batch 651/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7472, Loss: 0.3363
Epoch 2 Batch 652/1077 - Train Accuracy: 0.7467, Validation Accuracy: 0.7440, Loss: 0.3734
Epoch 2 Batch 653/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7379, Loss: 0.3727
Epoch 2 Batch 654/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7372, Loss: 0.3419
Epoch 2 Batch 655/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7333, Loss: 0.3694
Epoch 2 Batch 656/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7322, Loss: 0.3539
Epoch 2 Batch 657/1077 - Train Accuracy: 0.7599, Validation Accuracy: 0.7333, Loss: 0.3730
Epoch 2 Batch 658/1077 - Train Accuracy: 0.7351, Validation Accuracy: 0.7326, Loss: 0.3367
Epoch 2 Batch 659/1077 - Train Accuracy: 0.7634, Validation Accuracy: 0.7347, Loss: 0.3579
Epoch 2 Batch 660/1077 - Train Accuracy: 0.7199, Validation Accuracy: 0.7358, Loss: 0.3588
Epoch 2 Batch 661/1077 - Train Accuracy: 0.7567, Validation Accuracy: 0.7404, Loss: 0.3277
Epoch 2 Batch 662/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7447, Loss: 0.3360
Epoch 2 Batch 663/1077 - Train Accuracy: 0.7375, Validation Accuracy: 0.7461, Loss: 0.3543
Epoch 2 Batch 664/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7479, Loss: 0.3412
Epoch 2 Batch 665/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7500, Loss: 0.3510
Epoch 2 Batch 666/1077 - Train Accuracy: 0.7471, Validation Accuracy: 0.7493, Loss: 0.3788
Epoch 2 Batch 667/1077 - Train Accuracy: 0.7196, Validation Accuracy: 0.7425, Loss: 0.3765
Epoch 2 Batch 668/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7418, Loss: 0.3604
Epoch 2 Batch 669/1077 - Train Accuracy: 0.7605, Validation Accuracy: 0.7404, Loss: 0.3735
Epoch 2 Batch 670/1077 - Train Accuracy: 0.7528, Validation Accuracy: 0.7429, Loss: 0.3493
Epoch 2 Batch 671/1077 - Train Accuracy: 0.7364, Validation Accuracy: 0.7464, Loss: 0.3787
Epoch 2 Batch 672/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7454, Loss: 0.3470
Epoch 2 Batch 673/1077 - Train Accuracy: 0.7295, Validation Accuracy: 0.7386, Loss: 0.3500
Epoch 2 Batch 674/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7397, Loss: 0.3486
Epoch 2 Batch 675/1077 - Train Accuracy: 0.7429, Validation Accuracy: 0.7461, Loss: 0.3567
Epoch 2 Batch 676/1077 - Train Accuracy: 0.7525, Validation Accuracy: 0.7425, Loss: 0.3680
Epoch 2 Batch 677/1077 - Train Accuracy: 0.6906, Validation Accuracy: 0.7457, Loss: 0.3767
Epoch 2 Batch 678/1077 - Train Accuracy: 0.7359, Validation Accuracy: 0.7433, Loss: 0.3302
Epoch 2 Batch 679/1077 - Train Accuracy: 0.7015, Validation Accuracy: 0.7415, Loss: 0.3879
Epoch 2 Batch 680/1077 - Train Accuracy: 0.7481, Validation Accuracy: 0.7422, Loss: 0.3283
Epoch 2 Batch 681/1077 - Train Accuracy: 0.7770, Validation Accuracy: 0.7486, Loss: 0.3659
Epoch 2 Batch 682/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.7486, Loss: 0.3464
Epoch 2 Batch 683/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7450, Loss: 0.3513
Epoch 2 Batch 684/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.7418, Loss: 0.3460
Epoch 2 Batch 685/1077 - Train Accuracy: 0.7082, Validation Accuracy: 0.7514, Loss: 0.3550
Epoch 2 Batch 686/1077 - Train Accuracy: 0.7690, Validation Accuracy: 0.7486, Loss: 0.3308
Epoch 2 Batch 687/1077 - Train Accuracy: 0.7492, Validation Accuracy: 0.7472, Loss: 0.3847
Epoch 2 Batch 688/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7404, Loss: 0.3613
Epoch 2 Batch 689/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7411, Loss: 0.3337
Epoch 2 Batch 690/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7425, Loss: 0.3333
Epoch 2 Batch 691/1077 - Train Accuracy: 0.7052, Validation Accuracy: 0.7436, Loss: 0.3916
Epoch 2 Batch 692/1077 - Train Accuracy: 0.7530, Validation Accuracy: 0.7422, Loss: 0.3388
Epoch 2 Batch 693/1077 - Train Accuracy: 0.6768, Validation Accuracy: 0.7397, Loss: 0.4075
Epoch 2 Batch 694/1077 - Train Accuracy: 0.7571, Validation Accuracy: 0.7344, Loss: 0.3361
Epoch 2 Batch 695/1077 - Train Accuracy: 0.7520, Validation Accuracy: 0.7369, Loss: 0.3351
Epoch 2 Batch 696/1077 - Train Accuracy: 0.7216, Validation Accuracy: 0.7390, Loss: 0.3759
Epoch 2 Batch 697/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7393, Loss: 0.3414
Epoch 2 Batch 698/1077 - Train Accuracy: 0.7303, Validation Accuracy: 0.7326, Loss: 0.3583
Epoch 2 Batch 699/1077 - Train Accuracy: 0.7138, Validation Accuracy: 0.7290, Loss: 0.3574
Epoch 2 Batch 700/1077 - Train Accuracy: 0.7430, Validation Accuracy: 0.7337, Loss: 0.3480
Epoch 2 Batch 701/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7461, Loss: 0.3859
Epoch 2 Batch 702/1077 - Train Accuracy: 0.7266, Validation Accuracy: 0.7496, Loss: 0.3563
Epoch 2 Batch 703/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7507, Loss: 0.3740
Epoch 2 Batch 704/1077 - Train Accuracy: 0.7141, Validation Accuracy: 0.7500, Loss: 0.3703
Epoch 2 Batch 705/1077 - Train Accuracy: 0.7874, Validation Accuracy: 0.7543, Loss: 0.3872
Epoch 2 Batch 706/1077 - Train Accuracy: 0.7080, Validation Accuracy: 0.7543, Loss: 0.3771
Epoch 2 Batch 707/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7575, Loss: 0.3567
Epoch 2 Batch 708/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7479, Loss: 0.3549
Epoch 2 Batch 709/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7379, Loss: 0.3637
Epoch 2 Batch 710/1077 - Train Accuracy: 0.6937, Validation Accuracy: 0.7369, Loss: 0.3505
Epoch 2 Batch 711/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7369, Loss: 0.3689
Epoch 2 Batch 712/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7390, Loss: 0.3457
Epoch 2 Batch 713/1077 - Train Accuracy: 0.7617, Validation Accuracy: 0.7429, Loss: 0.3316
Epoch 2 Batch 714/1077 - Train Accuracy: 0.7470, Validation Accuracy: 0.7482, Loss: 0.3311
Epoch 2 Batch 715/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7536, Loss: 0.3703
Epoch 2 Batch 716/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7504, Loss: 0.3422
Epoch 2 Batch 717/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7475, Loss: 0.3479
Epoch 2 Batch 718/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7511, Loss: 0.3469
Epoch 2 Batch 719/1077 - Train Accuracy: 0.7240, Validation Accuracy: 0.7429, Loss: 0.3367
Epoch 2 Batch 720/1077 - Train Accuracy: 0.7315, Validation Accuracy: 0.7528, Loss: 0.3708
Epoch 2 Batch 721/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7496, Loss: 0.3802
Epoch 2 Batch 722/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7521, Loss: 0.3279
Epoch 2 Batch 723/1077 - Train Accuracy: 0.7615, Validation Accuracy: 0.7496, Loss: 0.3490
Epoch 2 Batch 724/1077 - Train Accuracy: 0.7019, Validation Accuracy: 0.7489, Loss: 0.3974
Epoch 2 Batch 725/1077 - Train Accuracy: 0.7370, Validation Accuracy: 0.7511, Loss: 0.3212
Epoch 2 Batch 726/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7443, Loss: 0.3393
Epoch 2 Batch 727/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7457, Loss: 0.3333
Epoch 2 Batch 728/1077 - Train Accuracy: 0.6838, Validation Accuracy: 0.7511, Loss: 0.3611
Epoch 2 Batch 729/1077 - Train Accuracy: 0.6754, Validation Accuracy: 0.7472, Loss: 0.4151
Epoch 2 Batch 730/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7429, Loss: 0.3660
Epoch 2 Batch 731/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7344, Loss: 0.3447
Epoch 2 Batch 732/1077 - Train Accuracy: 0.7344, Validation Accuracy: 0.7418, Loss: 0.3845
Epoch 2 Batch 733/1077 - Train Accuracy: 0.7531, Validation Accuracy: 0.7401, Loss: 0.3619
Epoch 2 Batch 734/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7404, Loss: 0.3740
Epoch 2 Batch 735/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7461, Loss: 0.3654
Epoch 2 Batch 736/1077 - Train Accuracy: 0.7615, Validation Accuracy: 0.7418, Loss: 0.3362
Epoch 2 Batch 737/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7454, Loss: 0.3725
Epoch 2 Batch 738/1077 - Train Accuracy: 0.7744, Validation Accuracy: 0.7518, Loss: 0.2886
Epoch 2 Batch 739/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7404, Loss: 0.3462
Epoch 2 Batch 740/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7358, Loss: 0.3417
Epoch 2 Batch 741/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7337, Loss: 0.3532
Epoch 2 Batch 742/1077 - Train Accuracy: 0.7230, Validation Accuracy: 0.7315, Loss: 0.3671
Epoch 2 Batch 743/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7365, Loss: 0.3536
Epoch 2 Batch 744/1077 - Train Accuracy: 0.7474, Validation Accuracy: 0.7362, Loss: 0.3248
Epoch 2 Batch 745/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7362, Loss: 0.3644
Epoch 2 Batch 746/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7312, Loss: 0.3469
Epoch 2 Batch 747/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7326, Loss: 0.3171
Epoch 2 Batch 748/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7298, Loss: 0.3614
Epoch 2 Batch 749/1077 - Train Accuracy: 0.7141, Validation Accuracy: 0.7301, Loss: 0.3681
Epoch 2 Batch 750/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7376, Loss: 0.3530
Epoch 2 Batch 751/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7376, Loss: 0.3421
Epoch 2 Batch 752/1077 - Train Accuracy: 0.7701, Validation Accuracy: 0.7443, Loss: 0.3153
Epoch 2 Batch 753/1077 - Train Accuracy: 0.7441, Validation Accuracy: 0.7429, Loss: 0.3524
Epoch 2 Batch 754/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7401, Loss: 0.3499
Epoch 2 Batch 755/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7500, Loss: 0.3678
Epoch 2 Batch 756/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7553, Loss: 0.3484
Epoch 2 Batch 757/1077 - Train Accuracy: 0.7327, Validation Accuracy: 0.7514, Loss: 0.3608
Epoch 2 Batch 758/1077 - Train Accuracy: 0.7478, Validation Accuracy: 0.7472, Loss: 0.3246
Epoch 2 Batch 759/1077 - Train Accuracy: 0.7493, Validation Accuracy: 0.7479, Loss: 0.3310
Epoch 2 Batch 760/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7500, Loss: 0.3507
Epoch 2 Batch 761/1077 - Train Accuracy: 0.6900, Validation Accuracy: 0.7599, Loss: 0.3586
Epoch 2 Batch 762/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7614, Loss: 0.3486
Epoch 2 Batch 763/1077 - Train Accuracy: 0.7515, Validation Accuracy: 0.7614, Loss: 0.3299
Epoch 2 Batch 764/1077 - Train Accuracy: 0.7854, Validation Accuracy: 0.7543, Loss: 0.3472
Epoch 2 Batch 765/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7514, Loss: 0.3510
Epoch 2 Batch 766/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7500, Loss: 0.3595
Epoch 2 Batch 767/1077 - Train Accuracy: 0.7457, Validation Accuracy: 0.7525, Loss: 0.3446
Epoch 2 Batch 768/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7518, Loss: 0.3599
Epoch 2 Batch 769/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7532, Loss: 0.3545
Epoch 2 Batch 770/1077 - Train Accuracy: 0.7526, Validation Accuracy: 0.7468, Loss: 0.3201
Epoch 2 Batch 771/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7511, Loss: 0.3841
Epoch 2 Batch 772/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7525, Loss: 0.3320
Epoch 2 Batch 773/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7447, Loss: 0.3227
Epoch 2 Batch 774/1077 - Train Accuracy: 0.7117, Validation Accuracy: 0.7489, Loss: 0.3786
Epoch 2 Batch 775/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7553, Loss: 0.3465
Epoch 2 Batch 776/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7507, Loss: 0.3462
Epoch 2 Batch 777/1077 - Train Accuracy: 0.7449, Validation Accuracy: 0.7450, Loss: 0.3516
Epoch 2 Batch 778/1077 - Train Accuracy: 0.7325, Validation Accuracy: 0.7461, Loss: 0.3130
Epoch 2 Batch 779/1077 - Train Accuracy: 0.7371, Validation Accuracy: 0.7457, Loss: 0.3707
Epoch 2 Batch 780/1077 - Train Accuracy: 0.7215, Validation Accuracy: 0.7464, Loss: 0.3932
Epoch 2 Batch 781/1077 - Train Accuracy: 0.8065, Validation Accuracy: 0.7489, Loss: 0.3153
Epoch 2 Batch 782/1077 - Train Accuracy: 0.7388, Validation Accuracy: 0.7496, Loss: 0.3502
Epoch 2 Batch 783/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7479, Loss: 0.3613
Epoch 2 Batch 784/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7521, Loss: 0.3534
Epoch 2 Batch 785/1077 - Train Accuracy: 0.7749, Validation Accuracy: 0.7514, Loss: 0.3198
Epoch 2 Batch 786/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7560, Loss: 0.3426
Epoch 2 Batch 787/1077 - Train Accuracy: 0.7548, Validation Accuracy: 0.7550, Loss: 0.3413
Epoch 2 Batch 788/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7536, Loss: 0.3510
Epoch 2 Batch 789/1077 - Train Accuracy: 0.7368, Validation Accuracy: 0.7578, Loss: 0.3638
Epoch 2 Batch 790/1077 - Train Accuracy: 0.6797, Validation Accuracy: 0.7571, Loss: 0.3699
Epoch 2 Batch 791/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7532, Loss: 0.3427
Epoch 2 Batch 792/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7511, Loss: 0.3645
Epoch 2 Batch 793/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7532, Loss: 0.3468
Epoch 2 Batch 794/1077 - Train Accuracy: 0.7117, Validation Accuracy: 0.7553, Loss: 0.3518
Epoch 2 Batch 795/1077 - Train Accuracy: 0.7312, Validation Accuracy: 0.7514, Loss: 0.3701
Epoch 2 Batch 796/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7507, Loss: 0.3343
Epoch 2 Batch 797/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7436, Loss: 0.3463
Epoch 2 Batch 798/1077 - Train Accuracy: 0.7207, Validation Accuracy: 0.7404, Loss: 0.3729
Epoch 2 Batch 799/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7404, Loss: 0.3733
Epoch 2 Batch 800/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.7415, Loss: 0.3358
Epoch 2 Batch 801/1077 - Train Accuracy: 0.7121, Validation Accuracy: 0.7457, Loss: 0.3425
Epoch 2 Batch 802/1077 - Train Accuracy: 0.7760, Validation Accuracy: 0.7393, Loss: 0.3595
Epoch 2 Batch 803/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7347, Loss: 0.3649
Epoch 2 Batch 804/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7376, Loss: 0.3413
Epoch 2 Batch 805/1077 - Train Accuracy: 0.7469, Validation Accuracy: 0.7479, Loss: 0.3564
Epoch 2 Batch 806/1077 - Train Accuracy: 0.7208, Validation Accuracy: 0.7521, Loss: 0.3528
Epoch 2 Batch 807/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7500, Loss: 0.3372
Epoch 2 Batch 808/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7496, Loss: 0.3679
Epoch 2 Batch 809/1077 - Train Accuracy: 0.7368, Validation Accuracy: 0.7393, Loss: 0.3968
Epoch 2 Batch 810/1077 - Train Accuracy: 0.7586, Validation Accuracy: 0.7436, Loss: 0.3332
Epoch 2 Batch 811/1077 - Train Accuracy: 0.7440, Validation Accuracy: 0.7443, Loss: 0.3158
Epoch 2 Batch 812/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7489, Loss: 0.3481
Epoch 2 Batch 813/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7525, Loss: 0.3373
Epoch 2 Batch 814/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7525, Loss: 0.3648
Epoch 2 Batch 815/1077 - Train Accuracy: 0.7305, Validation Accuracy: 0.7546, Loss: 0.3576
Epoch 2 Batch 816/1077 - Train Accuracy: 0.7673, Validation Accuracy: 0.7528, Loss: 0.3812
Epoch 2 Batch 817/1077 - Train Accuracy: 0.7242, Validation Accuracy: 0.7518, Loss: 0.3835
Epoch 2 Batch 818/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7525, Loss: 0.3520
Epoch 2 Batch 819/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7472, Loss: 0.3419
Epoch 2 Batch 820/1077 - Train Accuracy: 0.7152, Validation Accuracy: 0.7457, Loss: 0.3489
Epoch 2 Batch 821/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.7450, Loss: 0.3542
Epoch 2 Batch 822/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7464, Loss: 0.3553
Epoch 2 Batch 823/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7482, Loss: 0.3534
Epoch 2 Batch 824/1077 - Train Accuracy: 0.7243, Validation Accuracy: 0.7575, Loss: 0.3441
Epoch 2 Batch 825/1077 - Train Accuracy: 0.7203, Validation Accuracy: 0.7525, Loss: 0.3541
Epoch 2 Batch 826/1077 - Train Accuracy: 0.7586, Validation Accuracy: 0.7369, Loss: 0.3116
Epoch 2 Batch 827/1077 - Train Accuracy: 0.7064, Validation Accuracy: 0.7404, Loss: 0.3703
Epoch 2 Batch 828/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7489, Loss: 0.3384
Epoch 2 Batch 829/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7528, Loss: 0.3979
Epoch 2 Batch 830/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7557, Loss: 0.3368
Epoch 2 Batch 831/1077 - Train Accuracy: 0.7293, Validation Accuracy: 0.7532, Loss: 0.3647
Epoch 2 Batch 832/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7496, Loss: 0.3598
Epoch 2 Batch 833/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7553, Loss: 0.3549
Epoch 2 Batch 834/1077 - Train Accuracy: 0.7532, Validation Accuracy: 0.7546, Loss: 0.3574
Epoch 2 Batch 835/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7550, Loss: 0.3536
Epoch 2 Batch 836/1077 - Train Accuracy: 0.7011, Validation Accuracy: 0.7521, Loss: 0.3656
Epoch 2 Batch 837/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7511, Loss: 0.3722
Epoch 2 Batch 838/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7468, Loss: 0.3337
Epoch 2 Batch 839/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7479, Loss: 0.3198
Epoch 2 Batch 840/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7475, Loss: 0.3404
Epoch 2 Batch 841/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7440, Loss: 0.3595
Epoch 2 Batch 842/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7450, Loss: 0.3383
Epoch 2 Batch 843/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7468, Loss: 0.3283
Epoch 2 Batch 844/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.7514, Loss: 0.3460
Epoch 2 Batch 845/1077 - Train Accuracy: 0.7691, Validation Accuracy: 0.7528, Loss: 0.3228
Epoch 2 Batch 846/1077 - Train Accuracy: 0.7344, Validation Accuracy: 0.7546, Loss: 0.3575
Epoch 2 Batch 847/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7550, Loss: 0.3627
Epoch 2 Batch 848/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7546, Loss: 0.3438
Epoch 2 Batch 849/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7525, Loss: 0.3293
Epoch 2 Batch 850/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7536, Loss: 0.3714
Epoch 2 Batch 851/1077 - Train Accuracy: 0.7295, Validation Accuracy: 0.7457, Loss: 0.3526
Epoch 2 Batch 852/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7422, Loss: 0.3670
Epoch 2 Batch 853/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7418, Loss: 0.3192
Epoch 2 Batch 854/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7362, Loss: 0.3489
Epoch 2 Batch 855/1077 - Train Accuracy: 0.7312, Validation Accuracy: 0.7362, Loss: 0.3437
Epoch 2 Batch 856/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7429, Loss: 0.3472
Epoch 2 Batch 857/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7496, Loss: 0.3313
Epoch 2 Batch 858/1077 - Train Accuracy: 0.7615, Validation Accuracy: 0.7472, Loss: 0.3352
Epoch 2 Batch 859/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7464, Loss: 0.3603
Epoch 2 Batch 860/1077 - Train Accuracy: 0.7135, Validation Accuracy: 0.7454, Loss: 0.3534
Epoch 2 Batch 861/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7443, Loss: 0.3383
Epoch 2 Batch 862/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7475, Loss: 0.3389
Epoch 2 Batch 863/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7472, Loss: 0.3478
Epoch 2 Batch 864/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7468, Loss: 0.3379
Epoch 2 Batch 865/1077 - Train Accuracy: 0.7812, Validation Accuracy: 0.7443, Loss: 0.3261
Epoch 2 Batch 866/1077 - Train Accuracy: 0.7463, Validation Accuracy: 0.7454, Loss: 0.3280
Epoch 2 Batch 867/1077 - Train Accuracy: 0.7059, Validation Accuracy: 0.7372, Loss: 0.3979
Epoch 2 Batch 868/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7372, Loss: 0.3604
Epoch 2 Batch 869/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7362, Loss: 0.3425
Epoch 2 Batch 870/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7358, Loss: 0.3828
Epoch 2 Batch 871/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7354, Loss: 0.3436
Epoch 2 Batch 872/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7369, Loss: 0.3393
Epoch 2 Batch 873/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7372, Loss: 0.3446
Epoch 2 Batch 874/1077 - Train Accuracy: 0.7000, Validation Accuracy: 0.7337, Loss: 0.3606
Epoch 2 Batch 875/1077 - Train Accuracy: 0.7395, Validation Accuracy: 0.7379, Loss: 0.3602
Epoch 2 Batch 876/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7411, Loss: 0.3705
Epoch 2 Batch 877/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7450, Loss: 0.3383
Epoch 2 Batch 878/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7468, Loss: 0.3489
Epoch 2 Batch 879/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7511, Loss: 0.3177
Epoch 2 Batch 880/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7521, Loss: 0.3369
Epoch 2 Batch 881/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.7553, Loss: 0.3644
Epoch 2 Batch 882/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7575, Loss: 0.3604
Epoch 2 Batch 883/1077 - Train Accuracy: 0.7159, Validation Accuracy: 0.7543, Loss: 0.3851
Epoch 2 Batch 884/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7496, Loss: 0.3377
Epoch 2 Batch 885/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7528, Loss: 0.2902
Epoch 2 Batch 886/1077 - Train Accuracy: 0.6844, Validation Accuracy: 0.7493, Loss: 0.3542
Epoch 2 Batch 887/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7532, Loss: 0.3709
Epoch 2 Batch 888/1077 - Train Accuracy: 0.7463, Validation Accuracy: 0.7543, Loss: 0.3213
Epoch 2 Batch 889/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7521, Loss: 0.3509
Epoch 2 Batch 890/1077 - Train Accuracy: 0.8099, Validation Accuracy: 0.7525, Loss: 0.3171
Epoch 2 Batch 891/1077 - Train Accuracy: 0.7673, Validation Accuracy: 0.7553, Loss: 0.3471
Epoch 2 Batch 892/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7507, Loss: 0.3159
Epoch 2 Batch 893/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7511, Loss: 0.3315
Epoch 2 Batch 894/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7536, Loss: 0.3315
Epoch 2 Batch 895/1077 - Train Accuracy: 0.7074, Validation Accuracy: 0.7504, Loss: 0.3510
Epoch 2 Batch 896/1077 - Train Accuracy: 0.6698, Validation Accuracy: 0.7440, Loss: 0.3632
Epoch 2 Batch 897/1077 - Train Accuracy: 0.7641, Validation Accuracy: 0.7440, Loss: 0.2935
Epoch 2 Batch 898/1077 - Train Accuracy: 0.7772, Validation Accuracy: 0.7440, Loss: 0.3168
Epoch 2 Batch 899/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7418, Loss: 0.3595
Epoch 2 Batch 900/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7415, Loss: 0.3652
Epoch 2 Batch 901/1077 - Train Accuracy: 0.7656, Validation Accuracy: 0.7404, Loss: 0.3532
Epoch 2 Batch 902/1077 - Train Accuracy: 0.7522, Validation Accuracy: 0.7351, Loss: 0.3460
Epoch 2 Batch 903/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7344, Loss: 0.3406
Epoch 2 Batch 904/1077 - Train Accuracy: 0.7176, Validation Accuracy: 0.7362, Loss: 0.3466
Epoch 2 Batch 905/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7443, Loss: 0.3263
Epoch 2 Batch 906/1077 - Train Accuracy: 0.7445, Validation Accuracy: 0.7493, Loss: 0.3349
Epoch 2 Batch 907/1077 - Train Accuracy: 0.7250, Validation Accuracy: 0.7504, Loss: 0.3203
Epoch 2 Batch 908/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7553, Loss: 0.3534
Epoch 2 Batch 909/1077 - Train Accuracy: 0.7543, Validation Accuracy: 0.7557, Loss: 0.3331
Epoch 2 Batch 910/1077 - Train Accuracy: 0.7288, Validation Accuracy: 0.7582, Loss: 0.3323
Epoch 2 Batch 911/1077 - Train Accuracy: 0.7493, Validation Accuracy: 0.7614, Loss: 0.3169
Epoch 2 Batch 912/1077 - Train Accuracy: 0.7531, Validation Accuracy: 0.7585, Loss: 0.3468
Epoch 2 Batch 913/1077 - Train Accuracy: 0.7766, Validation Accuracy: 0.7546, Loss: 0.3918
Epoch 2 Batch 914/1077 - Train Accuracy: 0.8265, Validation Accuracy: 0.7543, Loss: 0.3270
Epoch 2 Batch 915/1077 - Train Accuracy: 0.7167, Validation Accuracy: 0.7457, Loss: 0.3405
Epoch 2 Batch 916/1077 - Train Accuracy: 0.7602, Validation Accuracy: 0.7450, Loss: 0.3534
Epoch 2 Batch 917/1077 - Train Accuracy: 0.7312, Validation Accuracy: 0.7468, Loss: 0.3428
Epoch 2 Batch 918/1077 - Train Accuracy: 0.7827, Validation Accuracy: 0.7468, Loss: 0.3073
Epoch 2 Batch 919/1077 - Train Accuracy: 0.8026, Validation Accuracy: 0.7543, Loss: 0.3311
Epoch 2 Batch 920/1077 - Train Accuracy: 0.7543, Validation Accuracy: 0.7539, Loss: 0.3653
Epoch 2 Batch 921/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7546, Loss: 0.3465
Epoch 2 Batch 922/1077 - Train Accuracy: 0.7310, Validation Accuracy: 0.7496, Loss: 0.3305
Epoch 2 Batch 923/1077 - Train Accuracy: 0.7146, Validation Accuracy: 0.7429, Loss: 0.3476
Epoch 2 Batch 924/1077 - Train Accuracy: 0.7558, Validation Accuracy: 0.7440, Loss: 0.3662
Epoch 2 Batch 925/1077 - Train Accuracy: 0.7221, Validation Accuracy: 0.7376, Loss: 0.3261
Epoch 2 Batch 926/1077 - Train Accuracy: 0.7816, Validation Accuracy: 0.7418, Loss: 0.3454
Epoch 2 Batch 927/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7454, Loss: 0.3670
Epoch 2 Batch 928/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7365, Loss: 0.3468
Epoch 2 Batch 929/1077 - Train Accuracy: 0.7316, Validation Accuracy: 0.7308, Loss: 0.3571
Epoch 2 Batch 930/1077 - Train Accuracy: 0.7641, Validation Accuracy: 0.7376, Loss: 0.3266
Epoch 2 Batch 931/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7294, Loss: 0.3300
Epoch 2 Batch 932/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.7308, Loss: 0.3502
Epoch 2 Batch 933/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7401, Loss: 0.3508
Epoch 2 Batch 934/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7397, Loss: 0.3296
Epoch 2 Batch 935/1077 - Train Accuracy: 0.7375, Validation Accuracy: 0.7411, Loss: 0.3548
Epoch 2 Batch 936/1077 - Train Accuracy: 0.7571, Validation Accuracy: 0.7482, Loss: 0.3341
Epoch 2 Batch 937/1077 - Train Accuracy: 0.7825, Validation Accuracy: 0.7472, Loss: 0.3592
Epoch 2 Batch 938/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.7489, Loss: 0.3658
Epoch 2 Batch 939/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7447, Loss: 0.3457
Epoch 2 Batch 940/1077 - Train Accuracy: 0.7344, Validation Accuracy: 0.7482, Loss: 0.3358
Epoch 2 Batch 941/1077 - Train Accuracy: 0.7470, Validation Accuracy: 0.7496, Loss: 0.3342
Epoch 2 Batch 942/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7507, Loss: 0.3505
Epoch 2 Batch 943/1077 - Train Accuracy: 0.7586, Validation Accuracy: 0.7454, Loss: 0.3520
Epoch 2 Batch 944/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7486, Loss: 0.3166
Epoch 2 Batch 945/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7482, Loss: 0.3391
Epoch 2 Batch 946/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7493, Loss: 0.3442
Epoch 2 Batch 947/1077 - Train Accuracy: 0.7081, Validation Accuracy: 0.7486, Loss: 0.3651
Epoch 2 Batch 948/1077 - Train Accuracy: 0.7449, Validation Accuracy: 0.7521, Loss: 0.3310
Epoch 2 Batch 949/1077 - Train Accuracy: 0.7608, Validation Accuracy: 0.7457, Loss: 0.3119
Epoch 2 Batch 950/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.7464, Loss: 0.3346
Epoch 2 Batch 951/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7454, Loss: 0.3395
Epoch 2 Batch 952/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7507, Loss: 0.3384
Epoch 2 Batch 953/1077 - Train Accuracy: 0.7553, Validation Accuracy: 0.7507, Loss: 0.3319
Epoch 2 Batch 954/1077 - Train Accuracy: 0.7027, Validation Accuracy: 0.7521, Loss: 0.3382
Epoch 2 Batch 955/1077 - Train Accuracy: 0.7812, Validation Accuracy: 0.7511, Loss: 0.3550
Epoch 2 Batch 956/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7475, Loss: 0.3664
Epoch 2 Batch 957/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7475, Loss: 0.3193
Epoch 2 Batch 958/1077 - Train Accuracy: 0.7172, Validation Accuracy: 0.7468, Loss: 0.3411
Epoch 2 Batch 959/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7436, Loss: 0.3258
Epoch 2 Batch 960/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7429, Loss: 0.3216
Epoch 2 Batch 961/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7543, Loss: 0.3506
Epoch 2 Batch 962/1077 - Train Accuracy: 0.7537, Validation Accuracy: 0.7560, Loss: 0.3240
Epoch 2 Batch 963/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7575, Loss: 0.3944
Epoch 2 Batch 964/1077 - Train Accuracy: 0.7630, Validation Accuracy: 0.7539, Loss: 0.3222
Epoch 2 Batch 965/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7553, Loss: 0.3535
Epoch 2 Batch 966/1077 - Train Accuracy: 0.7622, Validation Accuracy: 0.7436, Loss: 0.2951
Epoch 2 Batch 967/1077 - Train Accuracy: 0.7270, Validation Accuracy: 0.7404, Loss: 0.3235
Epoch 2 Batch 968/1077 - Train Accuracy: 0.7020, Validation Accuracy: 0.7450, Loss: 0.3527
Epoch 2 Batch 969/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7482, Loss: 0.3696
Epoch 2 Batch 970/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7425, Loss: 0.3535
Epoch 2 Batch 971/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7482, Loss: 0.3286
Epoch 2 Batch 972/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7504, Loss: 0.3364
Epoch 2 Batch 973/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7514, Loss: 0.3141
Epoch 2 Batch 974/1077 - Train Accuracy: 0.7398, Validation Accuracy: 0.7500, Loss: 0.3214
Epoch 2 Batch 975/1077 - Train Accuracy: 0.7467, Validation Accuracy: 0.7500, Loss: 0.3254
Epoch 2 Batch 976/1077 - Train Accuracy: 0.7219, Validation Accuracy: 0.7479, Loss: 0.3266
Epoch 2 Batch 977/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7468, Loss: 0.3089
Epoch 2 Batch 978/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7354, Loss: 0.3476
Epoch 2 Batch 979/1077 - Train Accuracy: 0.7681, Validation Accuracy: 0.7330, Loss: 0.3489
Epoch 2 Batch 980/1077 - Train Accuracy: 0.7691, Validation Accuracy: 0.7362, Loss: 0.3337
Epoch 2 Batch 981/1077 - Train Accuracy: 0.7445, Validation Accuracy: 0.7433, Loss: 0.3355
Epoch 2 Batch 982/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7436, Loss: 0.3411
Epoch 2 Batch 983/1077 - Train Accuracy: 0.7331, Validation Accuracy: 0.7532, Loss: 0.3562
Epoch 2 Batch 984/1077 - Train Accuracy: 0.7141, Validation Accuracy: 0.7571, Loss: 0.3670
Epoch 2 Batch 985/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7610, Loss: 0.3214
Epoch 2 Batch 986/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7603, Loss: 0.3471
Epoch 2 Batch 987/1077 - Train Accuracy: 0.7139, Validation Accuracy: 0.7553, Loss: 0.3166
Epoch 2 Batch 988/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7592, Loss: 0.3309
Epoch 2 Batch 989/1077 - Train Accuracy: 0.7207, Validation Accuracy: 0.7571, Loss: 0.3839
Epoch 2 Batch 990/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7496, Loss: 0.3793
Epoch 2 Batch 991/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7528, Loss: 0.3499
Epoch 2 Batch 992/1077 - Train Accuracy: 0.7605, Validation Accuracy: 0.7461, Loss: 0.3364
Epoch 2 Batch 993/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7504, Loss: 0.3177
Epoch 2 Batch 994/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7496, Loss: 0.3226
Epoch 2 Batch 995/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7489, Loss: 0.3361
Epoch 2 Batch 996/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7507, Loss: 0.3430
Epoch 2 Batch 997/1077 - Train Accuracy: 0.7451, Validation Accuracy: 0.7532, Loss: 0.3420
Epoch 2 Batch 998/1077 - Train Accuracy: 0.6945, Validation Accuracy: 0.7518, Loss: 0.3396
Epoch 2 Batch 999/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7536, Loss: 0.3422
Epoch 2 Batch 1000/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7411, Loss: 0.3112
Epoch 2 Batch 1001/1077 - Train Accuracy: 0.7603, Validation Accuracy: 0.7429, Loss: 0.3026
Epoch 2 Batch 1002/1077 - Train Accuracy: 0.7758, Validation Accuracy: 0.7401, Loss: 0.3218
Epoch 2 Batch 1003/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7351, Loss: 0.3486
Epoch 2 Batch 1004/1077 - Train Accuracy: 0.7695, Validation Accuracy: 0.7404, Loss: 0.3427
Epoch 2 Batch 1005/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7383, Loss: 0.3408
Epoch 2 Batch 1006/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7386, Loss: 0.3060
Epoch 2 Batch 1007/1077 - Train Accuracy: 0.7999, Validation Accuracy: 0.7376, Loss: 0.3204
Epoch 2 Batch 1008/1077 - Train Accuracy: 0.7555, Validation Accuracy: 0.7429, Loss: 0.3821
Epoch 2 Batch 1009/1077 - Train Accuracy: 0.7742, Validation Accuracy: 0.7528, Loss: 0.3234
Epoch 2 Batch 1010/1077 - Train Accuracy: 0.7641, Validation Accuracy: 0.7532, Loss: 0.3443
Epoch 2 Batch 1011/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7546, Loss: 0.3683
Epoch 2 Batch 1012/1077 - Train Accuracy: 0.7597, Validation Accuracy: 0.7546, Loss: 0.3050
Epoch 2 Batch 1013/1077 - Train Accuracy: 0.7976, Validation Accuracy: 0.7468, Loss: 0.3034
Epoch 2 Batch 1014/1077 - Train Accuracy: 0.7312, Validation Accuracy: 0.7457, Loss: 0.3546
Epoch 2 Batch 1015/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7433, Loss: 0.3840
Epoch 2 Batch 1016/1077 - Train Accuracy: 0.7214, Validation Accuracy: 0.7411, Loss: 0.3417
Epoch 2 Batch 1017/1077 - Train Accuracy: 0.7360, Validation Accuracy: 0.7422, Loss: 0.3529
Epoch 2 Batch 1018/1077 - Train Accuracy: 0.7385, Validation Accuracy: 0.7429, Loss: 0.3228
Epoch 2 Batch 1019/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7454, Loss: 0.3813
Epoch 2 Batch 1020/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7443, Loss: 0.3189
Epoch 2 Batch 1021/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7457, Loss: 0.3391
Epoch 2 Batch 1022/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7461, Loss: 0.3291
Epoch 2 Batch 1023/1077 - Train Accuracy: 0.7564, Validation Accuracy: 0.7418, Loss: 0.3231
Epoch 2 Batch 1024/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7422, Loss: 0.3699
Epoch 2 Batch 1025/1077 - Train Accuracy: 0.7314, Validation Accuracy: 0.7372, Loss: 0.3312
Epoch 2 Batch 1026/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7418, Loss: 0.3299
Epoch 2 Batch 1027/1077 - Train Accuracy: 0.6996, Validation Accuracy: 0.7461, Loss: 0.3674
Epoch 2 Batch 1028/1077 - Train Accuracy: 0.7351, Validation Accuracy: 0.7592, Loss: 0.3305
Epoch 2 Batch 1029/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7564, Loss: 0.3131
Epoch 2 Batch 1030/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7607, Loss: 0.3418
Epoch 2 Batch 1031/1077 - Train Accuracy: 0.7044, Validation Accuracy: 0.7578, Loss: 0.3757
Epoch 2 Batch 1032/1077 - Train Accuracy: 0.7269, Validation Accuracy: 0.7631, Loss: 0.3593
Epoch 2 Batch 1033/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7610, Loss: 0.3289
Epoch 2 Batch 1034/1077 - Train Accuracy: 0.7148, Validation Accuracy: 0.7607, Loss: 0.3543
Epoch 2 Batch 1035/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7514, Loss: 0.2962
Epoch 2 Batch 1036/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7486, Loss: 0.3510
Epoch 2 Batch 1037/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7486, Loss: 0.3536
Epoch 2 Batch 1038/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7464, Loss: 0.3441
Epoch 2 Batch 1039/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7482, Loss: 0.3153
Epoch 2 Batch 1040/1077 - Train Accuracy: 0.7253, Validation Accuracy: 0.7454, Loss: 0.3521
Epoch 2 Batch 1041/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7461, Loss: 0.3529
Epoch 2 Batch 1042/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7543, Loss: 0.3526
Epoch 2 Batch 1043/1077 - Train Accuracy: 0.7379, Validation Accuracy: 0.7536, Loss: 0.3429
Epoch 2 Batch 1044/1077 - Train Accuracy: 0.7605, Validation Accuracy: 0.7521, Loss: 0.3632
Epoch 2 Batch 1045/1077 - Train Accuracy: 0.6984, Validation Accuracy: 0.7489, Loss: 0.3448
Epoch 2 Batch 1046/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7415, Loss: 0.3052
Epoch 2 Batch 1047/1077 - Train Accuracy: 0.7668, Validation Accuracy: 0.7344, Loss: 0.3309
Epoch 2 Batch 1048/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7333, Loss: 0.3221
Epoch 2 Batch 1049/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7372, Loss: 0.3263
Epoch 2 Batch 1050/1077 - Train Accuracy: 0.7055, Validation Accuracy: 0.7415, Loss: 0.3401
Epoch 2 Batch 1051/1077 - Train Accuracy: 0.7850, Validation Accuracy: 0.7404, Loss: 0.3306
Epoch 2 Batch 1052/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7461, Loss: 0.3102
Epoch 2 Batch 1053/1077 - Train Accuracy: 0.7522, Validation Accuracy: 0.7518, Loss: 0.3286
Epoch 2 Batch 1054/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7493, Loss: 0.3317
Epoch 2 Batch 1055/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7504, Loss: 0.3315
Epoch 2 Batch 1056/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7415, Loss: 0.3162
Epoch 2 Batch 1057/1077 - Train Accuracy: 0.7368, Validation Accuracy: 0.7411, Loss: 0.3580
Epoch 2 Batch 1058/1077 - Train Accuracy: 0.7352, Validation Accuracy: 0.7425, Loss: 0.3797
Epoch 2 Batch 1059/1077 - Train Accuracy: 0.7097, Validation Accuracy: 0.7454, Loss: 0.4009
Epoch 2 Batch 1060/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7514, Loss: 0.3373
Epoch 2 Batch 1061/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7482, Loss: 0.3557
Epoch 2 Batch 1062/1077 - Train Accuracy: 0.7066, Validation Accuracy: 0.7397, Loss: 0.3414
Epoch 2 Batch 1063/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7418, Loss: 0.3278
Epoch 2 Batch 1064/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7443, Loss: 0.3401
Epoch 2 Batch 1065/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7397, Loss: 0.3418
Epoch 2 Batch 1066/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7358, Loss: 0.3208
Epoch 2 Batch 1067/1077 - Train Accuracy: 0.7672, Validation Accuracy: 0.7376, Loss: 0.3481
Epoch 2 Batch 1068/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7404, Loss: 0.3265
Epoch 2 Batch 1069/1077 - Train Accuracy: 0.7682, Validation Accuracy: 0.7411, Loss: 0.3017
Epoch 2 Batch 1070/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7433, Loss: 0.3241
Epoch 2 Batch 1071/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7457, Loss: 0.3259
Epoch 2 Batch 1072/1077 - Train Accuracy: 0.7619, Validation Accuracy: 0.7433, Loss: 0.3219
Epoch 2 Batch 1073/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7461, Loss: 0.3636
Epoch 2 Batch 1074/1077 - Train Accuracy: 0.7467, Validation Accuracy: 0.7489, Loss: 0.3498
Epoch 2 Batch 1075/1077 - Train Accuracy: 0.7356, Validation Accuracy: 0.7525, Loss: 0.3570
Epoch 3 Batch 1/1077 - Train Accuracy: 0.7547, Validation Accuracy: 0.7521, Loss: 0.3237
Epoch 3 Batch 2/1077 - Train Accuracy: 0.7039, Validation Accuracy: 0.7546, Loss: 0.3549
Epoch 3 Batch 3/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7532, Loss: 0.3438
Epoch 3 Batch 4/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7539, Loss: 0.3410
Epoch 3 Batch 5/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7539, Loss: 0.3615
Epoch 3 Batch 6/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7536, Loss: 0.3506
Epoch 3 Batch 7/1077 - Train Accuracy: 0.7227, Validation Accuracy: 0.7507, Loss: 0.3290
Epoch 3 Batch 8/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7557, Loss: 0.3398
Epoch 3 Batch 9/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7514, Loss: 0.3376
Epoch 3 Batch 10/1077 - Train Accuracy: 0.7467, Validation Accuracy: 0.7507, Loss: 0.3498
Epoch 3 Batch 11/1077 - Train Accuracy: 0.7050, Validation Accuracy: 0.7521, Loss: 0.3341
Epoch 3 Batch 12/1077 - Train Accuracy: 0.7461, Validation Accuracy: 0.7528, Loss: 0.3428
Epoch 3 Batch 13/1077 - Train Accuracy: 0.7478, Validation Accuracy: 0.7521, Loss: 0.3524
Epoch 3 Batch 14/1077 - Train Accuracy: 0.7586, Validation Accuracy: 0.7440, Loss: 0.2979
Epoch 3 Batch 15/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7500, Loss: 0.3151
Epoch 3 Batch 16/1077 - Train Accuracy: 0.7402, Validation Accuracy: 0.7461, Loss: 0.3631
Epoch 3 Batch 17/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7461, Loss: 0.3270
Epoch 3 Batch 18/1077 - Train Accuracy: 0.7391, Validation Accuracy: 0.7493, Loss: 0.3494
Epoch 3 Batch 19/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7518, Loss: 0.3345
Epoch 3 Batch 20/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7496, Loss: 0.3040
Epoch 3 Batch 21/1077 - Train Accuracy: 0.7379, Validation Accuracy: 0.7504, Loss: 0.3500
Epoch 3 Batch 22/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7511, Loss: 0.3360
Epoch 3 Batch 23/1077 - Train Accuracy: 0.7340, Validation Accuracy: 0.7582, Loss: 0.3322
Epoch 3 Batch 24/1077 - Train Accuracy: 0.7723, Validation Accuracy: 0.7635, Loss: 0.3161
Epoch 3 Batch 25/1077 - Train Accuracy: 0.7223, Validation Accuracy: 0.7592, Loss: 0.3299
Epoch 3 Batch 26/1077 - Train Accuracy: 0.7160, Validation Accuracy: 0.7628, Loss: 0.3409
Epoch 3 Batch 27/1077 - Train Accuracy: 0.7913, Validation Accuracy: 0.7631, Loss: 0.3003
Epoch 3 Batch 28/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7656, Loss: 0.3218
Epoch 3 Batch 29/1077 - Train Accuracy: 0.7191, Validation Accuracy: 0.7628, Loss: 0.3369
Epoch 3 Batch 30/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7603, Loss: 0.3179
Epoch 3 Batch 31/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7575, Loss: 0.3299
Epoch 3 Batch 32/1077 - Train Accuracy: 0.7333, Validation Accuracy: 0.7525, Loss: 0.3309
Epoch 3 Batch 33/1077 - Train Accuracy: 0.7556, Validation Accuracy: 0.7472, Loss: 0.3162
Epoch 3 Batch 34/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7496, Loss: 0.3419
Epoch 3 Batch 35/1077 - Train Accuracy: 0.7469, Validation Accuracy: 0.7560, Loss: 0.3348
Epoch 3 Batch 36/1077 - Train Accuracy: 0.7230, Validation Accuracy: 0.7564, Loss: 0.3400
Epoch 3 Batch 37/1077 - Train Accuracy: 0.7324, Validation Accuracy: 0.7567, Loss: 0.3318
Epoch 3 Batch 38/1077 - Train Accuracy: 0.7048, Validation Accuracy: 0.7575, Loss: 0.3820
Epoch 3 Batch 39/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7482, Loss: 0.3560
Epoch 3 Batch 40/1077 - Train Accuracy: 0.7520, Validation Accuracy: 0.7472, Loss: 0.3338
Epoch 3 Batch 41/1077 - Train Accuracy: 0.7876, Validation Accuracy: 0.7564, Loss: 0.3168
Epoch 3 Batch 42/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7482, Loss: 0.3512
Epoch 3 Batch 43/1077 - Train Accuracy: 0.7784, Validation Accuracy: 0.7557, Loss: 0.3067
Epoch 3 Batch 44/1077 - Train Accuracy: 0.7627, Validation Accuracy: 0.7571, Loss: 0.3341
Epoch 3 Batch 45/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.7567, Loss: 0.3257
Epoch 3 Batch 46/1077 - Train Accuracy: 0.7146, Validation Accuracy: 0.7564, Loss: 0.3415
Epoch 3 Batch 47/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7546, Loss: 0.3383
Epoch 3 Batch 48/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7592, Loss: 0.3594
Epoch 3 Batch 49/1077 - Train Accuracy: 0.7262, Validation Accuracy: 0.7685, Loss: 0.3463
Epoch 3 Batch 50/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7646, Loss: 0.3181
Epoch 3 Batch 51/1077 - Train Accuracy: 0.7715, Validation Accuracy: 0.7706, Loss: 0.3214
Epoch 3 Batch 52/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7749, Loss: 0.3131
Epoch 3 Batch 53/1077 - Train Accuracy: 0.7714, Validation Accuracy: 0.7699, Loss: 0.3341
Epoch 3 Batch 54/1077 - Train Accuracy: 0.7070, Validation Accuracy: 0.7720, Loss: 0.3671
Epoch 3 Batch 55/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7702, Loss: 0.3232
Epoch 3 Batch 56/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7553, Loss: 0.3088
Epoch 3 Batch 57/1077 - Train Accuracy: 0.7259, Validation Accuracy: 0.7546, Loss: 0.3143
Epoch 3 Batch 58/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7543, Loss: 0.3101
Epoch 3 Batch 59/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7511, Loss: 0.3368
Epoch 3 Batch 60/1077 - Train Accuracy: 0.7307, Validation Accuracy: 0.7521, Loss: 0.3088
Epoch 3 Batch 61/1077 - Train Accuracy: 0.7086, Validation Accuracy: 0.7507, Loss: 0.3418
Epoch 3 Batch 62/1077 - Train Accuracy: 0.7294, Validation Accuracy: 0.7496, Loss: 0.3546
Epoch 3 Batch 63/1077 - Train Accuracy: 0.7857, Validation Accuracy: 0.7500, Loss: 0.3219
Epoch 3 Batch 64/1077 - Train Accuracy: 0.7285, Validation Accuracy: 0.7500, Loss: 0.3155
Epoch 3 Batch 65/1077 - Train Accuracy: 0.7150, Validation Accuracy: 0.7528, Loss: 0.3293
Epoch 3 Batch 66/1077 - Train Accuracy: 0.7604, Validation Accuracy: 0.7557, Loss: 0.3015
Epoch 3 Batch 67/1077 - Train Accuracy: 0.7411, Validation Accuracy: 0.7599, Loss: 0.3203
Epoch 3 Batch 68/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7479, Loss: 0.3457
Epoch 3 Batch 69/1077 - Train Accuracy: 0.7430, Validation Accuracy: 0.7493, Loss: 0.3549
Epoch 3 Batch 70/1077 - Train Accuracy: 0.7323, Validation Accuracy: 0.7493, Loss: 0.3530
Epoch 3 Batch 71/1077 - Train Accuracy: 0.7641, Validation Accuracy: 0.7504, Loss: 0.3251
Epoch 3 Batch 72/1077 - Train Accuracy: 0.7539, Validation Accuracy: 0.7504, Loss: 0.3292
Epoch 3 Batch 73/1077 - Train Accuracy: 0.7301, Validation Accuracy: 0.7489, Loss: 0.3338
Epoch 3 Batch 74/1077 - Train Accuracy: 0.7433, Validation Accuracy: 0.7504, Loss: 0.3069
Epoch 3 Batch 75/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7518, Loss: 0.3685
Epoch 3 Batch 76/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7571, Loss: 0.3176
Epoch 3 Batch 77/1077 - Train Accuracy: 0.7145, Validation Accuracy: 0.7525, Loss: 0.3279
Epoch 3 Batch 78/1077 - Train Accuracy: 0.7056, Validation Accuracy: 0.7521, Loss: 0.3281
Epoch 3 Batch 79/1077 - Train Accuracy: 0.7516, Validation Accuracy: 0.7482, Loss: 0.3236
Epoch 3 Batch 80/1077 - Train Accuracy: 0.7695, Validation Accuracy: 0.7457, Loss: 0.3145
Epoch 3 Batch 81/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7436, Loss: 0.3129
Epoch 3 Batch 82/1077 - Train Accuracy: 0.7798, Validation Accuracy: 0.7472, Loss: 0.2961
Epoch 3 Batch 83/1077 - Train Accuracy: 0.7118, Validation Accuracy: 0.7482, Loss: 0.3384
Epoch 3 Batch 84/1077 - Train Accuracy: 0.7762, Validation Accuracy: 0.7525, Loss: 0.3400
Epoch 3 Batch 85/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7532, Loss: 0.2956
Epoch 3 Batch 86/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7475, Loss: 0.3278
Epoch 3 Batch 87/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7443, Loss: 0.3573
Epoch 3 Batch 88/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7489, Loss: 0.3317
Epoch 3 Batch 89/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7496, Loss: 0.3213
Epoch 3 Batch 90/1077 - Train Accuracy: 0.7238, Validation Accuracy: 0.7585, Loss: 0.3608
Epoch 3 Batch 91/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7578, Loss: 0.3020
Epoch 3 Batch 92/1077 - Train Accuracy: 0.7288, Validation Accuracy: 0.7575, Loss: 0.3227
Epoch 3 Batch 93/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7646, Loss: 0.3247
Epoch 3 Batch 94/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7670, Loss: 0.3132
Epoch 3 Batch 95/1077 - Train Accuracy: 0.7600, Validation Accuracy: 0.7635, Loss: 0.3380
Epoch 3 Batch 96/1077 - Train Accuracy: 0.7211, Validation Accuracy: 0.7628, Loss: 0.3107
Epoch 3 Batch 97/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7614, Loss: 0.3348
Epoch 3 Batch 98/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.7596, Loss: 0.3146
Epoch 3 Batch 99/1077 - Train Accuracy: 0.7473, Validation Accuracy: 0.7589, Loss: 0.3375
Epoch 3 Batch 100/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7603, Loss: 0.3194
Epoch 3 Batch 101/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7674, Loss: 0.3265
Epoch 3 Batch 102/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7695, Loss: 0.3163
Epoch 3 Batch 103/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7642, Loss: 0.3440
Epoch 3 Batch 104/1077 - Train Accuracy: 0.7089, Validation Accuracy: 0.7607, Loss: 0.3492
Epoch 3 Batch 105/1077 - Train Accuracy: 0.7480, Validation Accuracy: 0.7582, Loss: 0.3236
Epoch 3 Batch 106/1077 - Train Accuracy: 0.7389, Validation Accuracy: 0.7521, Loss: 0.3660
Epoch 3 Batch 107/1077 - Train Accuracy: 0.7347, Validation Accuracy: 0.7511, Loss: 0.2968
Epoch 3 Batch 108/1077 - Train Accuracy: 0.7667, Validation Accuracy: 0.7440, Loss: 0.3041
Epoch 3 Batch 109/1077 - Train Accuracy: 0.7387, Validation Accuracy: 0.7376, Loss: 0.3326
Epoch 3 Batch 110/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7287, Loss: 0.2976
Epoch 3 Batch 111/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7312, Loss: 0.3230
Epoch 3 Batch 112/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7372, Loss: 0.3344
Epoch 3 Batch 113/1077 - Train Accuracy: 0.7215, Validation Accuracy: 0.7344, Loss: 0.3394
Epoch 3 Batch 114/1077 - Train Accuracy: 0.7370, Validation Accuracy: 0.7305, Loss: 0.3060
Epoch 3 Batch 115/1077 - Train Accuracy: 0.7723, Validation Accuracy: 0.7351, Loss: 0.3535
Epoch 3 Batch 116/1077 - Train Accuracy: 0.7047, Validation Accuracy: 0.7415, Loss: 0.3511
Epoch 3 Batch 117/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7397, Loss: 0.3313
Epoch 3 Batch 118/1077 - Train Accuracy: 0.7134, Validation Accuracy: 0.7468, Loss: 0.3470
Epoch 3 Batch 119/1077 - Train Accuracy: 0.7457, Validation Accuracy: 0.7504, Loss: 0.3247
Epoch 3 Batch 120/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7429, Loss: 0.3504
Epoch 3 Batch 121/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7429, Loss: 0.3433
Epoch 3 Batch 122/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7493, Loss: 0.3421
Epoch 3 Batch 123/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7440, Loss: 0.3096
Epoch 3 Batch 124/1077 - Train Accuracy: 0.7539, Validation Accuracy: 0.7507, Loss: 0.3547
Epoch 3 Batch 125/1077 - Train Accuracy: 0.7690, Validation Accuracy: 0.7496, Loss: 0.3314
Epoch 3 Batch 126/1077 - Train Accuracy: 0.7522, Validation Accuracy: 0.7546, Loss: 0.3006
Epoch 3 Batch 127/1077 - Train Accuracy: 0.7305, Validation Accuracy: 0.7585, Loss: 0.3411
Epoch 3 Batch 128/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7607, Loss: 0.3038
Epoch 3 Batch 129/1077 - Train Accuracy: 0.7551, Validation Accuracy: 0.7617, Loss: 0.3338
Epoch 3 Batch 130/1077 - Train Accuracy: 0.7202, Validation Accuracy: 0.7603, Loss: 0.3003
Epoch 3 Batch 131/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7610, Loss: 0.3157
Epoch 3 Batch 132/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7575, Loss: 0.3361
Epoch 3 Batch 133/1077 - Train Accuracy: 0.7044, Validation Accuracy: 0.7610, Loss: 0.3251
Epoch 3 Batch 134/1077 - Train Accuracy: 0.7548, Validation Accuracy: 0.7567, Loss: 0.3186
Epoch 3 Batch 135/1077 - Train Accuracy: 0.7521, Validation Accuracy: 0.7592, Loss: 0.3465
Epoch 3 Batch 136/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7543, Loss: 0.3279
Epoch 3 Batch 137/1077 - Train Accuracy: 0.7723, Validation Accuracy: 0.7543, Loss: 0.2834
Epoch 3 Batch 138/1077 - Train Accuracy: 0.7477, Validation Accuracy: 0.7571, Loss: 0.3110
Epoch 3 Batch 139/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7507, Loss: 0.3271
Epoch 3 Batch 140/1077 - Train Accuracy: 0.7475, Validation Accuracy: 0.7443, Loss: 0.3457
Epoch 3 Batch 141/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7415, Loss: 0.3298
Epoch 3 Batch 142/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7511, Loss: 0.3140
Epoch 3 Batch 143/1077 - Train Accuracy: 0.7352, Validation Accuracy: 0.7461, Loss: 0.3331
Epoch 3 Batch 144/1077 - Train Accuracy: 0.6863, Validation Accuracy: 0.7464, Loss: 0.3788
Epoch 3 Batch 145/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7464, Loss: 0.3230
Epoch 3 Batch 146/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7539, Loss: 0.3345
Epoch 3 Batch 147/1077 - Train Accuracy: 0.7156, Validation Accuracy: 0.7567, Loss: 0.3450
Epoch 3 Batch 148/1077 - Train Accuracy: 0.7137, Validation Accuracy: 0.7575, Loss: 0.3462
Epoch 3 Batch 149/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7567, Loss: 0.3228
Epoch 3 Batch 150/1077 - Train Accuracy: 0.7649, Validation Accuracy: 0.7575, Loss: 0.3309
Epoch 3 Batch 151/1077 - Train Accuracy: 0.7560, Validation Accuracy: 0.7571, Loss: 0.3096
Epoch 3 Batch 152/1077 - Train Accuracy: 0.7773, Validation Accuracy: 0.7653, Loss: 0.3534
Epoch 3 Batch 153/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7575, Loss: 0.3692
Epoch 3 Batch 154/1077 - Train Accuracy: 0.7253, Validation Accuracy: 0.7582, Loss: 0.3479
Epoch 3 Batch 155/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7557, Loss: 0.3194
Epoch 3 Batch 156/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7532, Loss: 0.3247
Epoch 3 Batch 157/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7525, Loss: 0.3256
Epoch 3 Batch 158/1077 - Train Accuracy: 0.7548, Validation Accuracy: 0.7525, Loss: 0.3437
Epoch 3 Batch 159/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7589, Loss: 0.2846
Epoch 3 Batch 160/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7589, Loss: 0.3073
Epoch 3 Batch 161/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7610, Loss: 0.3185
Epoch 3 Batch 162/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7575, Loss: 0.3627
Epoch 3 Batch 163/1077 - Train Accuracy: 0.7451, Validation Accuracy: 0.7599, Loss: 0.3521
Epoch 3 Batch 164/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.7614, Loss: 0.3257
Epoch 3 Batch 165/1077 - Train Accuracy: 0.7242, Validation Accuracy: 0.7564, Loss: 0.3220
Epoch 3 Batch 166/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7553, Loss: 0.3385
Epoch 3 Batch 167/1077 - Train Accuracy: 0.7672, Validation Accuracy: 0.7507, Loss: 0.3304
Epoch 3 Batch 168/1077 - Train Accuracy: 0.7196, Validation Accuracy: 0.7550, Loss: 0.3649
Epoch 3 Batch 169/1077 - Train Accuracy: 0.7470, Validation Accuracy: 0.7536, Loss: 0.3161
Epoch 3 Batch 170/1077 - Train Accuracy: 0.7309, Validation Accuracy: 0.7546, Loss: 0.3468
Epoch 3 Batch 171/1077 - Train Accuracy: 0.7369, Validation Accuracy: 0.7614, Loss: 0.3000
Epoch 3 Batch 172/1077 - Train Accuracy: 0.7768, Validation Accuracy: 0.7624, Loss: 0.2882
Epoch 3 Batch 173/1077 - Train Accuracy: 0.7113, Validation Accuracy: 0.7717, Loss: 0.3615
Epoch 3 Batch 174/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7756, Loss: 0.3250
Epoch 3 Batch 175/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7706, Loss: 0.3132
Epoch 3 Batch 176/1077 - Train Accuracy: 0.7484, Validation Accuracy: 0.7688, Loss: 0.3385
Epoch 3 Batch 177/1077 - Train Accuracy: 0.7743, Validation Accuracy: 0.7560, Loss: 0.3469
Epoch 3 Batch 178/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7525, Loss: 0.3353
Epoch 3 Batch 179/1077 - Train Accuracy: 0.7825, Validation Accuracy: 0.7528, Loss: 0.3590
Epoch 3 Batch 180/1077 - Train Accuracy: 0.7520, Validation Accuracy: 0.7560, Loss: 0.3222
Epoch 3 Batch 181/1077 - Train Accuracy: 0.7449, Validation Accuracy: 0.7532, Loss: 0.3413
Epoch 3 Batch 182/1077 - Train Accuracy: 0.7347, Validation Accuracy: 0.7536, Loss: 0.3210
Epoch 3 Batch 183/1077 - Train Accuracy: 0.6961, Validation Accuracy: 0.7575, Loss: 0.3287
Epoch 3 Batch 184/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7514, Loss: 0.3165
Epoch 3 Batch 185/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7461, Loss: 0.3392
Epoch 3 Batch 186/1077 - Train Accuracy: 0.7808, Validation Accuracy: 0.7415, Loss: 0.3402
Epoch 3 Batch 187/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.7415, Loss: 0.3166
Epoch 3 Batch 188/1077 - Train Accuracy: 0.7094, Validation Accuracy: 0.7433, Loss: 0.3273
Epoch 3 Batch 189/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7479, Loss: 0.3415
Epoch 3 Batch 190/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.7553, Loss: 0.3239
Epoch 3 Batch 191/1077 - Train Accuracy: 0.7955, Validation Accuracy: 0.7539, Loss: 0.2914
Epoch 3 Batch 192/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7617, Loss: 0.3408
Epoch 3 Batch 193/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7585, Loss: 0.3108
Epoch 3 Batch 194/1077 - Train Accuracy: 0.7757, Validation Accuracy: 0.7536, Loss: 0.2929
Epoch 3 Batch 195/1077 - Train Accuracy: 0.7285, Validation Accuracy: 0.7496, Loss: 0.3264
Epoch 3 Batch 196/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7493, Loss: 0.3161
Epoch 3 Batch 197/1077 - Train Accuracy: 0.7441, Validation Accuracy: 0.7475, Loss: 0.3315
Epoch 3 Batch 198/1077 - Train Accuracy: 0.7764, Validation Accuracy: 0.7493, Loss: 0.2974
Epoch 3 Batch 199/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7528, Loss: 0.3073
Epoch 3 Batch 200/1077 - Train Accuracy: 0.7340, Validation Accuracy: 0.7550, Loss: 0.3322
Epoch 3 Batch 201/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7514, Loss: 0.2895
Epoch 3 Batch 202/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7521, Loss: 0.3280
Epoch 3 Batch 203/1077 - Train Accuracy: 0.7188, Validation Accuracy: 0.7457, Loss: 0.3239
Epoch 3 Batch 204/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7486, Loss: 0.3466
Epoch 3 Batch 205/1077 - Train Accuracy: 0.7453, Validation Accuracy: 0.7457, Loss: 0.3270
Epoch 3 Batch 206/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7496, Loss: 0.3158
Epoch 3 Batch 207/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7450, Loss: 0.3316
Epoch 3 Batch 208/1077 - Train Accuracy: 0.7437, Validation Accuracy: 0.7457, Loss: 0.3156
Epoch 3 Batch 209/1077 - Train Accuracy: 0.7589, Validation Accuracy: 0.7429, Loss: 0.2965
Epoch 3 Batch 210/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7464, Loss: 0.3084
Epoch 3 Batch 211/1077 - Train Accuracy: 0.7484, Validation Accuracy: 0.7518, Loss: 0.3117
Epoch 3 Batch 212/1077 - Train Accuracy: 0.7686, Validation Accuracy: 0.7543, Loss: 0.2915
Epoch 3 Batch 213/1077 - Train Accuracy: 0.7348, Validation Accuracy: 0.7578, Loss: 0.3021
Epoch 3 Batch 214/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7536, Loss: 0.3080
Epoch 3 Batch 215/1077 - Train Accuracy: 0.7332, Validation Accuracy: 0.7607, Loss: 0.3179
Epoch 3 Batch 216/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7649, Loss: 0.3341
Epoch 3 Batch 217/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7646, Loss: 0.2924
Epoch 3 Batch 218/1077 - Train Accuracy: 0.7360, Validation Accuracy: 0.7663, Loss: 0.3710
Epoch 3 Batch 219/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.7592, Loss: 0.2988
Epoch 3 Batch 220/1077 - Train Accuracy: 0.7718, Validation Accuracy: 0.7674, Loss: 0.3244
Epoch 3 Batch 221/1077 - Train Accuracy: 0.7915, Validation Accuracy: 0.7724, Loss: 0.3439
Epoch 3 Batch 222/1077 - Train Accuracy: 0.7164, Validation Accuracy: 0.7663, Loss: 0.3223
Epoch 3 Batch 223/1077 - Train Accuracy: 0.7991, Validation Accuracy: 0.7628, Loss: 0.2915
Epoch 3 Batch 224/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.7575, Loss: 0.3309
Epoch 3 Batch 225/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7599, Loss: 0.3296
Epoch 3 Batch 226/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7539, Loss: 0.3079
Epoch 3 Batch 227/1077 - Train Accuracy: 0.7090, Validation Accuracy: 0.7564, Loss: 0.3590
Epoch 3 Batch 228/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7528, Loss: 0.3058
Epoch 3 Batch 229/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7525, Loss: 0.3127
Epoch 3 Batch 230/1077 - Train Accuracy: 0.7507, Validation Accuracy: 0.7532, Loss: 0.3210
Epoch 3 Batch 231/1077 - Train Accuracy: 0.7344, Validation Accuracy: 0.7486, Loss: 0.3462
Epoch 3 Batch 232/1077 - Train Accuracy: 0.7549, Validation Accuracy: 0.7532, Loss: 0.3415
Epoch 3 Batch 233/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7461, Loss: 0.3573
Epoch 3 Batch 234/1077 - Train Accuracy: 0.7571, Validation Accuracy: 0.7479, Loss: 0.3179
Epoch 3 Batch 235/1077 - Train Accuracy: 0.7861, Validation Accuracy: 0.7564, Loss: 0.3075
Epoch 3 Batch 236/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7560, Loss: 0.3258
Epoch 3 Batch 237/1077 - Train Accuracy: 0.7850, Validation Accuracy: 0.7504, Loss: 0.2914
Epoch 3 Batch 238/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7511, Loss: 0.3263
Epoch 3 Batch 239/1077 - Train Accuracy: 0.7839, Validation Accuracy: 0.7468, Loss: 0.2848
Epoch 3 Batch 240/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7575, Loss: 0.3035
Epoch 3 Batch 241/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7621, Loss: 0.2931
Epoch 3 Batch 242/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7596, Loss: 0.3056
Epoch 3 Batch 243/1077 - Train Accuracy: 0.6770, Validation Accuracy: 0.7610, Loss: 0.3304
Epoch 3 Batch 244/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7610, Loss: 0.2904
Epoch 3 Batch 245/1077 - Train Accuracy: 0.7493, Validation Accuracy: 0.7638, Loss: 0.2943
Epoch 3 Batch 246/1077 - Train Accuracy: 0.7656, Validation Accuracy: 0.7702, Loss: 0.3109
Epoch 3 Batch 247/1077 - Train Accuracy: 0.8065, Validation Accuracy: 0.7667, Loss: 0.2979
Epoch 3 Batch 248/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7663, Loss: 0.3196
Epoch 3 Batch 249/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7717, Loss: 0.3300
Epoch 3 Batch 250/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7681, Loss: 0.2907
Epoch 3 Batch 251/1077 - Train Accuracy: 0.7545, Validation Accuracy: 0.7656, Loss: 0.3217
Epoch 3 Batch 252/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7717, Loss: 0.3443
Epoch 3 Batch 253/1077 - Train Accuracy: 0.7731, Validation Accuracy: 0.7667, Loss: 0.3241
Epoch 3 Batch 254/1077 - Train Accuracy: 0.7555, Validation Accuracy: 0.7670, Loss: 0.3239
Epoch 3 Batch 255/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7663, Loss: 0.3209
Epoch 3 Batch 256/1077 - Train Accuracy: 0.7500, Validation Accuracy: 0.7607, Loss: 0.3370
Epoch 3 Batch 257/1077 - Train Accuracy: 0.7786, Validation Accuracy: 0.7571, Loss: 0.3119
Epoch 3 Batch 258/1077 - Train Accuracy: 0.7958, Validation Accuracy: 0.7578, Loss: 0.3150
Epoch 3 Batch 259/1077 - Train Accuracy: 0.7410, Validation Accuracy: 0.7628, Loss: 0.3175
Epoch 3 Batch 260/1077 - Train Accuracy: 0.7604, Validation Accuracy: 0.7560, Loss: 0.2974
Epoch 3 Batch 261/1077 - Train Accuracy: 0.7381, Validation Accuracy: 0.7571, Loss: 0.3125
Epoch 3 Batch 262/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7617, Loss: 0.3080
Epoch 3 Batch 263/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7621, Loss: 0.3119
Epoch 3 Batch 264/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7596, Loss: 0.3342
Epoch 3 Batch 265/1077 - Train Accuracy: 0.7258, Validation Accuracy: 0.7575, Loss: 0.3147
Epoch 3 Batch 266/1077 - Train Accuracy: 0.7392, Validation Accuracy: 0.7607, Loss: 0.3156
Epoch 3 Batch 267/1077 - Train Accuracy: 0.7741, Validation Accuracy: 0.7596, Loss: 0.2924
Epoch 3 Batch 268/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7596, Loss: 0.3373
Epoch 3 Batch 269/1077 - Train Accuracy: 0.7373, Validation Accuracy: 0.7589, Loss: 0.3297
Epoch 3 Batch 270/1077 - Train Accuracy: 0.6852, Validation Accuracy: 0.7638, Loss: 0.3574
Epoch 3 Batch 271/1077 - Train Accuracy: 0.7797, Validation Accuracy: 0.7599, Loss: 0.3112
Epoch 3 Batch 272/1077 - Train Accuracy: 0.7426, Validation Accuracy: 0.7610, Loss: 0.3716
Epoch 3 Batch 273/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7638, Loss: 0.2972
Epoch 3 Batch 274/1077 - Train Accuracy: 0.7917, Validation Accuracy: 0.7674, Loss: 0.3066
Epoch 3 Batch 275/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7710, Loss: 0.3024
Epoch 3 Batch 276/1077 - Train Accuracy: 0.7473, Validation Accuracy: 0.7738, Loss: 0.3457
Epoch 3 Batch 277/1077 - Train Accuracy: 0.7861, Validation Accuracy: 0.7759, Loss: 0.2838
Epoch 3 Batch 278/1077 - Train Accuracy: 0.7527, Validation Accuracy: 0.7663, Loss: 0.3484
Epoch 3 Batch 279/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7699, Loss: 0.3583
Epoch 3 Batch 280/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7706, Loss: 0.3342
Epoch 3 Batch 281/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7589, Loss: 0.3380
Epoch 3 Batch 282/1077 - Train Accuracy: 0.7395, Validation Accuracy: 0.7599, Loss: 0.3368
Epoch 3 Batch 283/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7550, Loss: 0.3233
Epoch 3 Batch 284/1077 - Train Accuracy: 0.7488, Validation Accuracy: 0.7504, Loss: 0.3562
Epoch 3 Batch 285/1077 - Train Accuracy: 0.7972, Validation Accuracy: 0.7592, Loss: 0.3115
Epoch 3 Batch 286/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7592, Loss: 0.2943
Epoch 3 Batch 287/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7607, Loss: 0.3161
Epoch 3 Batch 288/1077 - Train Accuracy: 0.7543, Validation Accuracy: 0.7571, Loss: 0.3454
Epoch 3 Batch 289/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7472, Loss: 0.3195
Epoch 3 Batch 290/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7550, Loss: 0.3277
Epoch 3 Batch 291/1077 - Train Accuracy: 0.7054, Validation Accuracy: 0.7553, Loss: 0.3494
Epoch 3 Batch 292/1077 - Train Accuracy: 0.7868, Validation Accuracy: 0.7564, Loss: 0.3119
Epoch 3 Batch 293/1077 - Train Accuracy: 0.7109, Validation Accuracy: 0.7617, Loss: 0.3332
Epoch 3 Batch 294/1077 - Train Accuracy: 0.7713, Validation Accuracy: 0.7646, Loss: 0.3146
Epoch 3 Batch 295/1077 - Train Accuracy: 0.7627, Validation Accuracy: 0.7727, Loss: 0.3484
Epoch 3 Batch 296/1077 - Train Accuracy: 0.7556, Validation Accuracy: 0.7710, Loss: 0.3173
Epoch 3 Batch 297/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7713, Loss: 0.3428
Epoch 3 Batch 298/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7756, Loss: 0.3309
Epoch 3 Batch 299/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7727, Loss: 0.3158
Epoch 3 Batch 300/1077 - Train Accuracy: 0.7726, Validation Accuracy: 0.7759, Loss: 0.3148
Epoch 3 Batch 301/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7710, Loss: 0.3099
Epoch 3 Batch 302/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7592, Loss: 0.3240
Epoch 3 Batch 303/1077 - Train Accuracy: 0.7445, Validation Accuracy: 0.7536, Loss: 0.3237
Epoch 3 Batch 304/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7496, Loss: 0.3016
Epoch 3 Batch 305/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7536, Loss: 0.3222
Epoch 3 Batch 306/1077 - Train Accuracy: 0.7667, Validation Accuracy: 0.7575, Loss: 0.2983
Epoch 3 Batch 307/1077 - Train Accuracy: 0.7333, Validation Accuracy: 0.7543, Loss: 0.3036
Epoch 3 Batch 308/1077 - Train Accuracy: 0.7445, Validation Accuracy: 0.7539, Loss: 0.3394
Epoch 3 Batch 309/1077 - Train Accuracy: 0.7872, Validation Accuracy: 0.7546, Loss: 0.2853
Epoch 3 Batch 310/1077 - Train Accuracy: 0.7168, Validation Accuracy: 0.7578, Loss: 0.3293
Epoch 3 Batch 311/1077 - Train Accuracy: 0.7816, Validation Accuracy: 0.7532, Loss: 0.2940
Epoch 3 Batch 312/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7635, Loss: 0.3431
Epoch 3 Batch 313/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7653, Loss: 0.3028
Epoch 3 Batch 314/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7646, Loss: 0.3060
Epoch 3 Batch 315/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7642, Loss: 0.3206
Epoch 3 Batch 316/1077 - Train Accuracy: 0.7920, Validation Accuracy: 0.7642, Loss: 0.2949
Epoch 3 Batch 317/1077 - Train Accuracy: 0.7866, Validation Accuracy: 0.7582, Loss: 0.3491
Epoch 3 Batch 318/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7575, Loss: 0.3125
Epoch 3 Batch 319/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7560, Loss: 0.3219
Epoch 3 Batch 320/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7603, Loss: 0.3221
Epoch 3 Batch 321/1077 - Train Accuracy: 0.7254, Validation Accuracy: 0.7617, Loss: 0.3064
Epoch 3 Batch 322/1077 - Train Accuracy: 0.7533, Validation Accuracy: 0.7607, Loss: 0.2818
Epoch 3 Batch 323/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7653, Loss: 0.3215
Epoch 3 Batch 324/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7532, Loss: 0.3068
Epoch 3 Batch 325/1077 - Train Accuracy: 0.7686, Validation Accuracy: 0.7536, Loss: 0.3023
Epoch 3 Batch 326/1077 - Train Accuracy: 0.7515, Validation Accuracy: 0.7518, Loss: 0.3327
Epoch 3 Batch 327/1077 - Train Accuracy: 0.7656, Validation Accuracy: 0.7496, Loss: 0.3254
Epoch 3 Batch 328/1077 - Train Accuracy: 0.7671, Validation Accuracy: 0.7479, Loss: 0.3261
Epoch 3 Batch 329/1077 - Train Accuracy: 0.7297, Validation Accuracy: 0.7507, Loss: 0.3385
Epoch 3 Batch 330/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7560, Loss: 0.3145
Epoch 3 Batch 331/1077 - Train Accuracy: 0.7899, Validation Accuracy: 0.7635, Loss: 0.3154
Epoch 3 Batch 332/1077 - Train Accuracy: 0.7742, Validation Accuracy: 0.7685, Loss: 0.2888
Epoch 3 Batch 333/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7660, Loss: 0.3181
Epoch 3 Batch 334/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7685, Loss: 0.3046
Epoch 3 Batch 335/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7621, Loss: 0.3022
Epoch 3 Batch 336/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7557, Loss: 0.3537
Epoch 3 Batch 337/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7433, Loss: 0.3042
Epoch 3 Batch 338/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7475, Loss: 0.3392
Epoch 3 Batch 339/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7436, Loss: 0.3223
Epoch 3 Batch 340/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7418, Loss: 0.3178
Epoch 3 Batch 341/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7418, Loss: 0.3457
Epoch 3 Batch 342/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7326, Loss: 0.3023
Epoch 3 Batch 343/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7308, Loss: 0.3063
Epoch 3 Batch 344/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7290, Loss: 0.3161
Epoch 3 Batch 345/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7241, Loss: 0.2975
Epoch 3 Batch 346/1077 - Train Accuracy: 0.7492, Validation Accuracy: 0.7312, Loss: 0.3419
Epoch 3 Batch 347/1077 - Train Accuracy: 0.7757, Validation Accuracy: 0.7539, Loss: 0.3064
Epoch 3 Batch 348/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7589, Loss: 0.2994
Epoch 3 Batch 349/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7646, Loss: 0.3064
Epoch 3 Batch 350/1077 - Train Accuracy: 0.7793, Validation Accuracy: 0.7589, Loss: 0.3278
Epoch 3 Batch 351/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7621, Loss: 0.3255
Epoch 3 Batch 352/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7521, Loss: 0.3267
Epoch 3 Batch 353/1077 - Train Accuracy: 0.7447, Validation Accuracy: 0.7447, Loss: 0.3444
Epoch 3 Batch 354/1077 - Train Accuracy: 0.7566, Validation Accuracy: 0.7479, Loss: 0.3421
Epoch 3 Batch 355/1077 - Train Accuracy: 0.7388, Validation Accuracy: 0.7450, Loss: 0.3186
Epoch 3 Batch 356/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7440, Loss: 0.3244
Epoch 3 Batch 357/1077 - Train Accuracy: 0.7489, Validation Accuracy: 0.7443, Loss: 0.3059
Epoch 3 Batch 358/1077 - Train Accuracy: 0.7241, Validation Accuracy: 0.7443, Loss: 0.3195
Epoch 3 Batch 359/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7429, Loss: 0.3100
Epoch 3 Batch 360/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7468, Loss: 0.3316
Epoch 3 Batch 361/1077 - Train Accuracy: 0.7763, Validation Accuracy: 0.7447, Loss: 0.3244
Epoch 3 Batch 362/1077 - Train Accuracy: 0.8002, Validation Accuracy: 0.7475, Loss: 0.3074
Epoch 3 Batch 363/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7479, Loss: 0.3266
Epoch 3 Batch 364/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7518, Loss: 0.3355
Epoch 3 Batch 365/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7500, Loss: 0.2936
Epoch 3 Batch 366/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7390, Loss: 0.3093
Epoch 3 Batch 367/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7429, Loss: 0.2927
Epoch 3 Batch 368/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7496, Loss: 0.3147
Epoch 3 Batch 369/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7585, Loss: 0.3126
Epoch 3 Batch 370/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7589, Loss: 0.3059
Epoch 3 Batch 371/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7589, Loss: 0.3066
Epoch 3 Batch 372/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7624, Loss: 0.2926
Epoch 3 Batch 373/1077 - Train Accuracy: 0.7861, Validation Accuracy: 0.7578, Loss: 0.2870
Epoch 3 Batch 374/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7589, Loss: 0.3347
Epoch 3 Batch 375/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7578, Loss: 0.2846
Epoch 3 Batch 376/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7614, Loss: 0.2959
Epoch 3 Batch 377/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.7702, Loss: 0.3225
Epoch 3 Batch 378/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7752, Loss: 0.2762
Epoch 3 Batch 379/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7763, Loss: 0.3221
Epoch 3 Batch 380/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7752, Loss: 0.3048
Epoch 3 Batch 381/1077 - Train Accuracy: 0.7566, Validation Accuracy: 0.7763, Loss: 0.3285
Epoch 3 Batch 382/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7756, Loss: 0.3530
Epoch 3 Batch 383/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7635, Loss: 0.3089
Epoch 3 Batch 384/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7578, Loss: 0.3111
Epoch 3 Batch 385/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7585, Loss: 0.2967
Epoch 3 Batch 386/1077 - Train Accuracy: 0.7760, Validation Accuracy: 0.7663, Loss: 0.3245
Epoch 3 Batch 387/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7688, Loss: 0.2784
Epoch 3 Batch 388/1077 - Train Accuracy: 0.7396, Validation Accuracy: 0.7713, Loss: 0.2927
Epoch 3 Batch 389/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7713, Loss: 0.3115
Epoch 3 Batch 390/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7692, Loss: 0.3391
Epoch 3 Batch 391/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7631, Loss: 0.3054
Epoch 3 Batch 392/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7656, Loss: 0.3171
Epoch 3 Batch 393/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7635, Loss: 0.2741
Epoch 3 Batch 394/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7599, Loss: 0.3156
Epoch 3 Batch 395/1077 - Train Accuracy: 0.7779, Validation Accuracy: 0.7589, Loss: 0.2968
Epoch 3 Batch 396/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7589, Loss: 0.3260
Epoch 3 Batch 397/1077 - Train Accuracy: 0.7995, Validation Accuracy: 0.7638, Loss: 0.3009
Epoch 3 Batch 398/1077 - Train Accuracy: 0.7726, Validation Accuracy: 0.7670, Loss: 0.3328
Epoch 3 Batch 399/1077 - Train Accuracy: 0.7278, Validation Accuracy: 0.7727, Loss: 0.3259
Epoch 3 Batch 400/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7781, Loss: 0.3236
Epoch 3 Batch 401/1077 - Train Accuracy: 0.7566, Validation Accuracy: 0.7734, Loss: 0.3192
Epoch 3 Batch 402/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7741, Loss: 0.3021
Epoch 3 Batch 403/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.7834, Loss: 0.3298
Epoch 3 Batch 404/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.7812, Loss: 0.2875
Epoch 3 Batch 405/1077 - Train Accuracy: 0.7878, Validation Accuracy: 0.7873, Loss: 0.3400
Epoch 3 Batch 406/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.7688, Loss: 0.3072
Epoch 3 Batch 407/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7685, Loss: 0.3364
Epoch 3 Batch 408/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7638, Loss: 0.3159
Epoch 3 Batch 409/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7582, Loss: 0.3388
Epoch 3 Batch 410/1077 - Train Accuracy: 0.7640, Validation Accuracy: 0.7543, Loss: 0.3258
Epoch 3 Batch 411/1077 - Train Accuracy: 0.7768, Validation Accuracy: 0.7525, Loss: 0.3255
Epoch 3 Batch 412/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7504, Loss: 0.2839
Epoch 3 Batch 413/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7567, Loss: 0.3051
Epoch 3 Batch 414/1077 - Train Accuracy: 0.7387, Validation Accuracy: 0.7521, Loss: 0.3204
Epoch 3 Batch 415/1077 - Train Accuracy: 0.7850, Validation Accuracy: 0.7567, Loss: 0.3142
Epoch 3 Batch 416/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7681, Loss: 0.3183
Epoch 3 Batch 417/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7642, Loss: 0.3504
Epoch 3 Batch 418/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.7734, Loss: 0.3033
Epoch 3 Batch 419/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7859, Loss: 0.3082
Epoch 3 Batch 420/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7859, Loss: 0.3069
Epoch 3 Batch 421/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7798, Loss: 0.3349
Epoch 3 Batch 422/1077 - Train Accuracy: 0.7868, Validation Accuracy: 0.7773, Loss: 0.2992
Epoch 3 Batch 423/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7717, Loss: 0.3189
Epoch 3 Batch 424/1077 - Train Accuracy: 0.7176, Validation Accuracy: 0.7713, Loss: 0.3220
Epoch 3 Batch 425/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7688, Loss: 0.2840
Epoch 3 Batch 426/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7791, Loss: 0.3166
Epoch 3 Batch 427/1077 - Train Accuracy: 0.7414, Validation Accuracy: 0.7734, Loss: 0.3052
Epoch 3 Batch 428/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.7802, Loss: 0.3165
Epoch 3 Batch 429/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.7788, Loss: 0.3007
Epoch 3 Batch 430/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7649, Loss: 0.3155
Epoch 3 Batch 431/1077 - Train Accuracy: 0.7465, Validation Accuracy: 0.7642, Loss: 0.3092
Epoch 3 Batch 432/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7706, Loss: 0.2969
Epoch 3 Batch 433/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7699, Loss: 0.3265
Epoch 3 Batch 434/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7710, Loss: 0.3148
Epoch 3 Batch 435/1077 - Train Accuracy: 0.8002, Validation Accuracy: 0.7791, Loss: 0.3394
Epoch 3 Batch 436/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7816, Loss: 0.2994
Epoch 3 Batch 437/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7706, Loss: 0.3017
Epoch 3 Batch 438/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.7738, Loss: 0.3258
Epoch 3 Batch 439/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7830, Loss: 0.3231
Epoch 3 Batch 440/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7702, Loss: 0.3238
Epoch 3 Batch 441/1077 - Train Accuracy: 0.7355, Validation Accuracy: 0.7717, Loss: 0.3023
Epoch 3 Batch 442/1077 - Train Accuracy: 0.7507, Validation Accuracy: 0.7582, Loss: 0.3078
Epoch 3 Batch 443/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.7543, Loss: 0.2919
Epoch 3 Batch 444/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7550, Loss: 0.3080
Epoch 3 Batch 445/1077 - Train Accuracy: 0.7179, Validation Accuracy: 0.7642, Loss: 0.3483
Epoch 3 Batch 446/1077 - Train Accuracy: 0.7634, Validation Accuracy: 0.7720, Loss: 0.2777
Epoch 3 Batch 447/1077 - Train Accuracy: 0.7367, Validation Accuracy: 0.7681, Loss: 0.3343
Epoch 3 Batch 448/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7692, Loss: 0.3347
Epoch 3 Batch 449/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7756, Loss: 0.3342
Epoch 3 Batch 450/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7710, Loss: 0.3053
Epoch 3 Batch 451/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7695, Loss: 0.2947
Epoch 3 Batch 452/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7663, Loss: 0.3074
Epoch 3 Batch 453/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7717, Loss: 0.2973
Epoch 3 Batch 454/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7745, Loss: 0.3140
Epoch 3 Batch 455/1077 - Train Accuracy: 0.7642, Validation Accuracy: 0.7596, Loss: 0.3104
Epoch 3 Batch 456/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7592, Loss: 0.3344
Epoch 3 Batch 457/1077 - Train Accuracy: 0.7943, Validation Accuracy: 0.7649, Loss: 0.3144
Epoch 3 Batch 458/1077 - Train Accuracy: 0.7418, Validation Accuracy: 0.7731, Loss: 0.3256
Epoch 3 Batch 459/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7788, Loss: 0.2924
Epoch 3 Batch 460/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7823, Loss: 0.3372
Epoch 3 Batch 461/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.7809, Loss: 0.3057
Epoch 3 Batch 462/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7827, Loss: 0.3115
Epoch 3 Batch 463/1077 - Train Accuracy: 0.7320, Validation Accuracy: 0.7756, Loss: 0.3179
Epoch 3 Batch 464/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7692, Loss: 0.3120
Epoch 3 Batch 465/1077 - Train Accuracy: 0.7636, Validation Accuracy: 0.7663, Loss: 0.3246
Epoch 3 Batch 466/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7631, Loss: 0.2950
Epoch 3 Batch 467/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7638, Loss: 0.3211
Epoch 3 Batch 468/1077 - Train Accuracy: 0.8151, Validation Accuracy: 0.7624, Loss: 0.3026
Epoch 3 Batch 469/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.7681, Loss: 0.3076
Epoch 3 Batch 470/1077 - Train Accuracy: 0.7681, Validation Accuracy: 0.7649, Loss: 0.3373
Epoch 3 Batch 471/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7539, Loss: 0.2953
Epoch 3 Batch 472/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7567, Loss: 0.3044
Epoch 3 Batch 473/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7553, Loss: 0.3181
Epoch 3 Batch 474/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7617, Loss: 0.3450
Epoch 3 Batch 475/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7575, Loss: 0.2959
Epoch 3 Batch 476/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7607, Loss: 0.2993
Epoch 3 Batch 477/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.7638, Loss: 0.3012
Epoch 3 Batch 478/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7670, Loss: 0.3153
Epoch 3 Batch 479/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7695, Loss: 0.3323
Epoch 3 Batch 480/1077 - Train Accuracy: 0.7989, Validation Accuracy: 0.7692, Loss: 0.3397
Epoch 3 Batch 481/1077 - Train Accuracy: 0.7422, Validation Accuracy: 0.7688, Loss: 0.3139
Epoch 3 Batch 482/1077 - Train Accuracy: 0.7537, Validation Accuracy: 0.7670, Loss: 0.3262
Epoch 3 Batch 483/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7720, Loss: 0.3218
Epoch 3 Batch 484/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7731, Loss: 0.3024
Epoch 3 Batch 485/1077 - Train Accuracy: 0.7797, Validation Accuracy: 0.7638, Loss: 0.3239
Epoch 3 Batch 486/1077 - Train Accuracy: 0.8084, Validation Accuracy: 0.7596, Loss: 0.3139
Epoch 3 Batch 487/1077 - Train Accuracy: 0.7747, Validation Accuracy: 0.7710, Loss: 0.3191
Epoch 3 Batch 488/1077 - Train Accuracy: 0.7599, Validation Accuracy: 0.7667, Loss: 0.3292
Epoch 3 Batch 489/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.7702, Loss: 0.2766
Epoch 3 Batch 490/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7738, Loss: 0.3188
Epoch 3 Batch 491/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7773, Loss: 0.3257
Epoch 3 Batch 492/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7731, Loss: 0.3311
Epoch 3 Batch 493/1077 - Train Accuracy: 0.8010, Validation Accuracy: 0.7717, Loss: 0.2953
Epoch 3 Batch 494/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7692, Loss: 0.3015
Epoch 3 Batch 495/1077 - Train Accuracy: 0.7617, Validation Accuracy: 0.7731, Loss: 0.3005
Epoch 3 Batch 496/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7773, Loss: 0.3168
Epoch 3 Batch 497/1077 - Train Accuracy: 0.7763, Validation Accuracy: 0.7727, Loss: 0.3227
Epoch 3 Batch 498/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7628, Loss: 0.3128
Epoch 3 Batch 499/1077 - Train Accuracy: 0.7440, Validation Accuracy: 0.7670, Loss: 0.2989
Epoch 3 Batch 500/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7724, Loss: 0.3051
Epoch 3 Batch 501/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7720, Loss: 0.3196
Epoch 3 Batch 502/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7660, Loss: 0.3127
Epoch 3 Batch 503/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7585, Loss: 0.2917
Epoch 3 Batch 504/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7706, Loss: 0.3259
Epoch 3 Batch 505/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.7706, Loss: 0.2651
Epoch 3 Batch 506/1077 - Train Accuracy: 0.7762, Validation Accuracy: 0.7642, Loss: 0.3007
Epoch 3 Batch 507/1077 - Train Accuracy: 0.7473, Validation Accuracy: 0.7670, Loss: 0.3263
Epoch 3 Batch 508/1077 - Train Accuracy: 0.7972, Validation Accuracy: 0.7685, Loss: 0.3007
Epoch 3 Batch 509/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7688, Loss: 0.3400
Epoch 3 Batch 510/1077 - Train Accuracy: 0.7617, Validation Accuracy: 0.7731, Loss: 0.3009
Epoch 3 Batch 511/1077 - Train Accuracy: 0.7315, Validation Accuracy: 0.7663, Loss: 0.3144
Epoch 3 Batch 512/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7621, Loss: 0.3025
Epoch 3 Batch 513/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7628, Loss: 0.3132
Epoch 3 Batch 514/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7610, Loss: 0.3297
Epoch 3 Batch 515/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7596, Loss: 0.3229
Epoch 3 Batch 516/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7667, Loss: 0.2853
Epoch 3 Batch 517/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7759, Loss: 0.2980
Epoch 3 Batch 518/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.7766, Loss: 0.2987
Epoch 3 Batch 519/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7749, Loss: 0.3049
Epoch 3 Batch 520/1077 - Train Accuracy: 0.8114, Validation Accuracy: 0.7734, Loss: 0.3032
Epoch 3 Batch 521/1077 - Train Accuracy: 0.7853, Validation Accuracy: 0.7841, Loss: 0.2975
Epoch 3 Batch 522/1077 - Train Accuracy: 0.7316, Validation Accuracy: 0.7869, Loss: 0.3347
Epoch 3 Batch 523/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7727, Loss: 0.3253
Epoch 3 Batch 524/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7649, Loss: 0.3068
Epoch 3 Batch 525/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7589, Loss: 0.3072
Epoch 3 Batch 526/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7610, Loss: 0.3055
Epoch 3 Batch 527/1077 - Train Accuracy: 0.7611, Validation Accuracy: 0.7656, Loss: 0.3138
Epoch 3 Batch 528/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7695, Loss: 0.3003
Epoch 3 Batch 529/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7614, Loss: 0.2928
Epoch 3 Batch 530/1077 - Train Accuracy: 0.7758, Validation Accuracy: 0.7571, Loss: 0.3071
Epoch 3 Batch 531/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.7692, Loss: 0.3053
Epoch 3 Batch 532/1077 - Train Accuracy: 0.7406, Validation Accuracy: 0.7692, Loss: 0.3414
Epoch 3 Batch 533/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7688, Loss: 0.3134
Epoch 3 Batch 534/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7660, Loss: 0.3090
Epoch 3 Batch 535/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7734, Loss: 0.2845
Epoch 3 Batch 536/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7685, Loss: 0.3166
Epoch 3 Batch 537/1077 - Train Accuracy: 0.7613, Validation Accuracy: 0.7649, Loss: 0.3175
Epoch 3 Batch 538/1077 - Train Accuracy: 0.7816, Validation Accuracy: 0.7628, Loss: 0.2848
Epoch 3 Batch 539/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7628, Loss: 0.3206
Epoch 3 Batch 540/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7681, Loss: 0.2695
Epoch 3 Batch 541/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7702, Loss: 0.3142
Epoch 3 Batch 542/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7749, Loss: 0.3014
Epoch 3 Batch 543/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7731, Loss: 0.3062
Epoch 3 Batch 544/1077 - Train Accuracy: 0.7750, Validation Accuracy: 0.7784, Loss: 0.3014
Epoch 3 Batch 545/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7770, Loss: 0.3305
Epoch 3 Batch 546/1077 - Train Accuracy: 0.7363, Validation Accuracy: 0.7830, Loss: 0.3251
Epoch 3 Batch 547/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.7841, Loss: 0.3142
Epoch 3 Batch 548/1077 - Train Accuracy: 0.7750, Validation Accuracy: 0.7876, Loss: 0.3091
Epoch 3 Batch 549/1077 - Train Accuracy: 0.7277, Validation Accuracy: 0.7791, Loss: 0.3372
Epoch 3 Batch 550/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7745, Loss: 0.3179
Epoch 3 Batch 551/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7667, Loss: 0.3103
Epoch 3 Batch 552/1077 - Train Accuracy: 0.7551, Validation Accuracy: 0.7706, Loss: 0.3005
Epoch 3 Batch 553/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7681, Loss: 0.3288
Epoch 3 Batch 554/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7759, Loss: 0.3004
Epoch 3 Batch 555/1077 - Train Accuracy: 0.7816, Validation Accuracy: 0.7674, Loss: 0.2892
Epoch 3 Batch 556/1077 - Train Accuracy: 0.7605, Validation Accuracy: 0.7678, Loss: 0.2895
Epoch 3 Batch 557/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7578, Loss: 0.3088
Epoch 3 Batch 558/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7692, Loss: 0.2858
Epoch 3 Batch 559/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7692, Loss: 0.2998
Epoch 3 Batch 560/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7660, Loss: 0.2968
Epoch 3 Batch 561/1077 - Train Accuracy: 0.8017, Validation Accuracy: 0.7713, Loss: 0.2786
Epoch 3 Batch 562/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7720, Loss: 0.2860
Epoch 3 Batch 563/1077 - Train Accuracy: 0.7594, Validation Accuracy: 0.7702, Loss: 0.3098
Epoch 3 Batch 564/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7710, Loss: 0.3047
Epoch 3 Batch 565/1077 - Train Accuracy: 0.8013, Validation Accuracy: 0.7674, Loss: 0.3453
Epoch 3 Batch 566/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7638, Loss: 0.3196
Epoch 3 Batch 567/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7607, Loss: 0.3005
Epoch 3 Batch 568/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7567, Loss: 0.2949
Epoch 3 Batch 569/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7624, Loss: 0.3209
Epoch 3 Batch 570/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7702, Loss: 0.3456
Epoch 3 Batch 571/1077 - Train Accuracy: 0.7827, Validation Accuracy: 0.7763, Loss: 0.2802
Epoch 3 Batch 572/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7727, Loss: 0.2821
Epoch 3 Batch 573/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.7901, Loss: 0.3265
Epoch 3 Batch 574/1077 - Train Accuracy: 0.7545, Validation Accuracy: 0.7844, Loss: 0.3197
Epoch 3 Batch 575/1077 - Train Accuracy: 0.8062, Validation Accuracy: 0.7802, Loss: 0.2914
Epoch 3 Batch 576/1077 - Train Accuracy: 0.7952, Validation Accuracy: 0.7805, Loss: 0.3020
Epoch 3 Batch 577/1077 - Train Accuracy: 0.7706, Validation Accuracy: 0.7887, Loss: 0.3181
Epoch 3 Batch 578/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7891, Loss: 0.3340
Epoch 3 Batch 579/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7710, Loss: 0.3122
Epoch 3 Batch 580/1077 - Train Accuracy: 0.7950, Validation Accuracy: 0.7898, Loss: 0.2826
Epoch 3 Batch 581/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.7923, Loss: 0.2773
Epoch 3 Batch 582/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7869, Loss: 0.2910
Epoch 3 Batch 583/1077 - Train Accuracy: 0.7956, Validation Accuracy: 0.7841, Loss: 0.3298
Epoch 3 Batch 584/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7891, Loss: 0.3031
Epoch 3 Batch 585/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7887, Loss: 0.2662
Epoch 3 Batch 586/1077 - Train Accuracy: 0.7780, Validation Accuracy: 0.7848, Loss: 0.3174
Epoch 3 Batch 587/1077 - Train Accuracy: 0.8188, Validation Accuracy: 0.7873, Loss: 0.2904
Epoch 3 Batch 588/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7788, Loss: 0.2873
Epoch 3 Batch 589/1077 - Train Accuracy: 0.8100, Validation Accuracy: 0.7805, Loss: 0.3079
Epoch 3 Batch 590/1077 - Train Accuracy: 0.7677, Validation Accuracy: 0.7859, Loss: 0.3401
Epoch 3 Batch 591/1077 - Train Accuracy: 0.8093, Validation Accuracy: 0.7752, Loss: 0.2983
Epoch 3 Batch 592/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7926, Loss: 0.2942
Epoch 3 Batch 593/1077 - Train Accuracy: 0.7924, Validation Accuracy: 0.7990, Loss: 0.3064
Epoch 3 Batch 594/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7965, Loss: 0.3097
Epoch 3 Batch 595/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7972, Loss: 0.3156
Epoch 3 Batch 596/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7926, Loss: 0.2966
Epoch 3 Batch 597/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7873, Loss: 0.3096
Epoch 3 Batch 598/1077 - Train Accuracy: 0.7853, Validation Accuracy: 0.7852, Loss: 0.3189
Epoch 3 Batch 599/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7898, Loss: 0.3479
Epoch 3 Batch 600/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7887, Loss: 0.2966
Epoch 3 Batch 601/1077 - Train Accuracy: 0.7913, Validation Accuracy: 0.7887, Loss: 0.2917
Epoch 3 Batch 602/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7930, Loss: 0.2930
Epoch 3 Batch 603/1077 - Train Accuracy: 0.7865, Validation Accuracy: 0.7891, Loss: 0.2997
Epoch 3 Batch 604/1077 - Train Accuracy: 0.7621, Validation Accuracy: 0.7841, Loss: 0.3196
Epoch 3 Batch 605/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.7812, Loss: 0.3260
Epoch 3 Batch 606/1077 - Train Accuracy: 0.8032, Validation Accuracy: 0.7802, Loss: 0.2848
Epoch 3 Batch 607/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.7820, Loss: 0.2773
Epoch 3 Batch 608/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7834, Loss: 0.3270
Epoch 3 Batch 609/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7781, Loss: 0.3015
Epoch 3 Batch 610/1077 - Train Accuracy: 0.7669, Validation Accuracy: 0.7784, Loss: 0.3277
Epoch 3 Batch 611/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7777, Loss: 0.2993
Epoch 3 Batch 612/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.7912, Loss: 0.2879
Epoch 3 Batch 613/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7972, Loss: 0.3245
Epoch 3 Batch 614/1077 - Train Accuracy: 0.8013, Validation Accuracy: 0.8029, Loss: 0.2859
Epoch 3 Batch 615/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7876, Loss: 0.3117
Epoch 3 Batch 616/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7859, Loss: 0.3263
Epoch 3 Batch 617/1077 - Train Accuracy: 0.7693, Validation Accuracy: 0.7770, Loss: 0.2966
Epoch 3 Batch 618/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7731, Loss: 0.3108
Epoch 3 Batch 619/1077 - Train Accuracy: 0.7644, Validation Accuracy: 0.7788, Loss: 0.2902
Epoch 3 Batch 620/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7802, Loss: 0.3082
Epoch 3 Batch 621/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7756, Loss: 0.3221
Epoch 3 Batch 622/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7788, Loss: 0.3259
Epoch 3 Batch 623/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7805, Loss: 0.3241
Epoch 3 Batch 624/1077 - Train Accuracy: 0.7913, Validation Accuracy: 0.7756, Loss: 0.2926
Epoch 3 Batch 625/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.7773, Loss: 0.3040
Epoch 3 Batch 626/1077 - Train Accuracy: 0.7798, Validation Accuracy: 0.7784, Loss: 0.2848
Epoch 3 Batch 627/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7788, Loss: 0.3126
Epoch 3 Batch 628/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7791, Loss: 0.3349
Epoch 3 Batch 629/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7812, Loss: 0.3143
Epoch 3 Batch 630/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7855, Loss: 0.2980
Epoch 3 Batch 631/1077 - Train Accuracy: 0.7630, Validation Accuracy: 0.7876, Loss: 0.2991
Epoch 3 Batch 632/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7663, Loss: 0.2780
Epoch 3 Batch 633/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7660, Loss: 0.3135
Epoch 3 Batch 634/1077 - Train Accuracy: 0.7760, Validation Accuracy: 0.7631, Loss: 0.2660
Epoch 3 Batch 635/1077 - Train Accuracy: 0.7656, Validation Accuracy: 0.7724, Loss: 0.3390
Epoch 3 Batch 636/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7752, Loss: 0.3000
Epoch 3 Batch 637/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7702, Loss: 0.2995
Epoch 3 Batch 638/1077 - Train Accuracy: 0.7686, Validation Accuracy: 0.7699, Loss: 0.3077
Epoch 3 Batch 639/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7681, Loss: 0.3100
Epoch 3 Batch 640/1077 - Train Accuracy: 0.7708, Validation Accuracy: 0.7727, Loss: 0.2999
Epoch 3 Batch 641/1077 - Train Accuracy: 0.7328, Validation Accuracy: 0.7784, Loss: 0.3025
Epoch 3 Batch 642/1077 - Train Accuracy: 0.7638, Validation Accuracy: 0.7795, Loss: 0.2970
Epoch 3 Batch 643/1077 - Train Accuracy: 0.7917, Validation Accuracy: 0.7869, Loss: 0.2960
Epoch 3 Batch 644/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7947, Loss: 0.3142
Epoch 3 Batch 645/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7823, Loss: 0.3005
Epoch 3 Batch 646/1077 - Train Accuracy: 0.7708, Validation Accuracy: 0.7770, Loss: 0.3102
Epoch 3 Batch 647/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7766, Loss: 0.2877
Epoch 3 Batch 648/1077 - Train Accuracy: 0.8036, Validation Accuracy: 0.7834, Loss: 0.2679
Epoch 3 Batch 649/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7805, Loss: 0.3211
Epoch 3 Batch 650/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7823, Loss: 0.3031
Epoch 3 Batch 651/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7766, Loss: 0.2794
Epoch 3 Batch 652/1077 - Train Accuracy: 0.7862, Validation Accuracy: 0.7812, Loss: 0.3284
Epoch 3 Batch 653/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7901, Loss: 0.2956
Epoch 3 Batch 654/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7848, Loss: 0.2878
Epoch 3 Batch 655/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7830, Loss: 0.3148
Epoch 3 Batch 656/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7713, Loss: 0.3207
Epoch 3 Batch 657/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7713, Loss: 0.3262
Epoch 3 Batch 658/1077 - Train Accuracy: 0.7578, Validation Accuracy: 0.7667, Loss: 0.2788
Epoch 3 Batch 659/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7699, Loss: 0.3087
Epoch 3 Batch 660/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7631, Loss: 0.3211
Epoch 3 Batch 661/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.7624, Loss: 0.2763
Epoch 3 Batch 662/1077 - Train Accuracy: 0.7839, Validation Accuracy: 0.7660, Loss: 0.2972
Epoch 3 Batch 663/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7624, Loss: 0.2845
Epoch 3 Batch 664/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.7603, Loss: 0.2998
Epoch 3 Batch 665/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7546, Loss: 0.2784
Epoch 3 Batch 666/1077 - Train Accuracy: 0.7993, Validation Accuracy: 0.7599, Loss: 0.3264
Epoch 3 Batch 667/1077 - Train Accuracy: 0.7582, Validation Accuracy: 0.7670, Loss: 0.3206
Epoch 3 Batch 668/1077 - Train Accuracy: 0.7753, Validation Accuracy: 0.7749, Loss: 0.3082
Epoch 3 Batch 669/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7656, Loss: 0.2875
Epoch 3 Batch 670/1077 - Train Accuracy: 0.7894, Validation Accuracy: 0.7670, Loss: 0.2950
Epoch 3 Batch 671/1077 - Train Accuracy: 0.7755, Validation Accuracy: 0.7738, Loss: 0.3424
Epoch 3 Batch 672/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7681, Loss: 0.3101
Epoch 3 Batch 673/1077 - Train Accuracy: 0.7909, Validation Accuracy: 0.7763, Loss: 0.2967
Epoch 3 Batch 674/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7741, Loss: 0.2842
Epoch 3 Batch 675/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7844, Loss: 0.3135
Epoch 3 Batch 676/1077 - Train Accuracy: 0.7817, Validation Accuracy: 0.7816, Loss: 0.3049
Epoch 3 Batch 677/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7749, Loss: 0.3165
Epoch 3 Batch 678/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7695, Loss: 0.2712
Epoch 3 Batch 679/1077 - Train Accuracy: 0.7911, Validation Accuracy: 0.7653, Loss: 0.3164
Epoch 3 Batch 680/1077 - Train Accuracy: 0.7876, Validation Accuracy: 0.7706, Loss: 0.2782
Epoch 3 Batch 681/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.7681, Loss: 0.3034
Epoch 3 Batch 682/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7713, Loss: 0.2983
Epoch 3 Batch 683/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.7720, Loss: 0.2890
Epoch 3 Batch 684/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7777, Loss: 0.2942
Epoch 3 Batch 685/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7812, Loss: 0.3196
Epoch 3 Batch 686/1077 - Train Accuracy: 0.8259, Validation Accuracy: 0.7784, Loss: 0.2741
Epoch 3 Batch 687/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7781, Loss: 0.3249
Epoch 3 Batch 688/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7727, Loss: 0.2945
Epoch 3 Batch 689/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7905, Loss: 0.2695
Epoch 3 Batch 690/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7827, Loss: 0.2814
Epoch 3 Batch 691/1077 - Train Accuracy: 0.7743, Validation Accuracy: 0.7702, Loss: 0.3480
Epoch 3 Batch 692/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7759, Loss: 0.2772
Epoch 3 Batch 693/1077 - Train Accuracy: 0.7508, Validation Accuracy: 0.7720, Loss: 0.3454
Epoch 3 Batch 694/1077 - Train Accuracy: 0.8065, Validation Accuracy: 0.7699, Loss: 0.3057
Epoch 3 Batch 695/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7667, Loss: 0.2782
Epoch 3 Batch 696/1077 - Train Accuracy: 0.7471, Validation Accuracy: 0.7649, Loss: 0.3092
Epoch 3 Batch 697/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7731, Loss: 0.2898
Epoch 3 Batch 698/1077 - Train Accuracy: 0.7675, Validation Accuracy: 0.7781, Loss: 0.2971
Epoch 3 Batch 699/1077 - Train Accuracy: 0.7640, Validation Accuracy: 0.7773, Loss: 0.3020
Epoch 3 Batch 700/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7688, Loss: 0.2839
Epoch 3 Batch 701/1077 - Train Accuracy: 0.7922, Validation Accuracy: 0.7667, Loss: 0.3201
Epoch 3 Batch 702/1077 - Train Accuracy: 0.7600, Validation Accuracy: 0.7670, Loss: 0.3168
Epoch 3 Batch 703/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7727, Loss: 0.3046
Epoch 3 Batch 704/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7763, Loss: 0.3199
Epoch 3 Batch 705/1077 - Train Accuracy: 0.8100, Validation Accuracy: 0.7766, Loss: 0.3086
Epoch 3 Batch 706/1077 - Train Accuracy: 0.7463, Validation Accuracy: 0.7770, Loss: 0.3408
Epoch 3 Batch 707/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7795, Loss: 0.3107
Epoch 3 Batch 708/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7809, Loss: 0.3036
Epoch 3 Batch 709/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7802, Loss: 0.3093
Epoch 3 Batch 710/1077 - Train Accuracy: 0.7598, Validation Accuracy: 0.7834, Loss: 0.3029
Epoch 3 Batch 711/1077 - Train Accuracy: 0.7695, Validation Accuracy: 0.7898, Loss: 0.3302
Epoch 3 Batch 712/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7905, Loss: 0.2855
Epoch 3 Batch 713/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7880, Loss: 0.2776
Epoch 3 Batch 714/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.7859, Loss: 0.2810
Epoch 3 Batch 715/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7805, Loss: 0.3124
Epoch 3 Batch 716/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.7798, Loss: 0.2713
Epoch 3 Batch 717/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7781, Loss: 0.2874
Epoch 3 Batch 718/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7930, Loss: 0.2845
Epoch 3 Batch 719/1077 - Train Accuracy: 0.7705, Validation Accuracy: 0.7926, Loss: 0.2637
Epoch 3 Batch 720/1077 - Train Accuracy: 0.7821, Validation Accuracy: 0.7965, Loss: 0.3073
Epoch 3 Batch 721/1077 - Train Accuracy: 0.7719, Validation Accuracy: 0.7965, Loss: 0.3078
Epoch 3 Batch 722/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7972, Loss: 0.2682
Epoch 3 Batch 723/1077 - Train Accuracy: 0.7946, Validation Accuracy: 0.7866, Loss: 0.2983
Epoch 3 Batch 724/1077 - Train Accuracy: 0.7549, Validation Accuracy: 0.7866, Loss: 0.3215
Epoch 3 Batch 725/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.7915, Loss: 0.2612
Epoch 3 Batch 726/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.8004, Loss: 0.2984
Epoch 3 Batch 727/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7951, Loss: 0.2908
Epoch 3 Batch 728/1077 - Train Accuracy: 0.7831, Validation Accuracy: 0.7976, Loss: 0.2939
Epoch 3 Batch 729/1077 - Train Accuracy: 0.7766, Validation Accuracy: 0.8022, Loss: 0.3326
Epoch 3 Batch 730/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7958, Loss: 0.3191
Epoch 3 Batch 731/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7933, Loss: 0.2903
Epoch 3 Batch 732/1077 - Train Accuracy: 0.8010, Validation Accuracy: 0.7965, Loss: 0.3304
Epoch 3 Batch 733/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7969, Loss: 0.3084
Epoch 3 Batch 734/1077 - Train Accuracy: 0.8022, Validation Accuracy: 0.7979, Loss: 0.2984
Epoch 3 Batch 735/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7965, Loss: 0.2815
Epoch 3 Batch 736/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.7944, Loss: 0.2814
Epoch 3 Batch 737/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7951, Loss: 0.3106
Epoch 3 Batch 738/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7891, Loss: 0.2401
Epoch 3 Batch 739/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7798, Loss: 0.2944
Epoch 3 Batch 740/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7759, Loss: 0.2879
Epoch 3 Batch 741/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7802, Loss: 0.3204
Epoch 3 Batch 742/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7798, Loss: 0.2928
Epoch 3 Batch 743/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7752, Loss: 0.3000
Epoch 3 Batch 744/1077 - Train Accuracy: 0.8058, Validation Accuracy: 0.7862, Loss: 0.2772
Epoch 3 Batch 745/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7887, Loss: 0.2901
Epoch 3 Batch 746/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7837, Loss: 0.2932
Epoch 3 Batch 747/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.7926, Loss: 0.2764
Epoch 3 Batch 748/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7823, Loss: 0.2799
Epoch 3 Batch 749/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7731, Loss: 0.3041
Epoch 3 Batch 750/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7741, Loss: 0.2770
Epoch 3 Batch 751/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7731, Loss: 0.2871
Epoch 3 Batch 752/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7766, Loss: 0.2550
Epoch 3 Batch 753/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7841, Loss: 0.2904
Epoch 3 Batch 754/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7926, Loss: 0.3008
Epoch 3 Batch 755/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7873, Loss: 0.2961
Epoch 3 Batch 756/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7844, Loss: 0.2779
Epoch 3 Batch 757/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.7802, Loss: 0.3024
Epoch 3 Batch 758/1077 - Train Accuracy: 0.8103, Validation Accuracy: 0.7752, Loss: 0.2629
Epoch 3 Batch 759/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.7788, Loss: 0.2644
Epoch 3 Batch 760/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7834, Loss: 0.3026
Epoch 3 Batch 761/1077 - Train Accuracy: 0.7771, Validation Accuracy: 0.7820, Loss: 0.2946
Epoch 3 Batch 762/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.7827, Loss: 0.2641
Epoch 3 Batch 763/1077 - Train Accuracy: 0.7939, Validation Accuracy: 0.7820, Loss: 0.2669
Epoch 3 Batch 764/1077 - Train Accuracy: 0.8269, Validation Accuracy: 0.7919, Loss: 0.3039
Epoch 3 Batch 765/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7908, Loss: 0.3022
Epoch 3 Batch 766/1077 - Train Accuracy: 0.7383, Validation Accuracy: 0.7884, Loss: 0.3126
Epoch 3 Batch 767/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7844, Loss: 0.2831
Epoch 3 Batch 768/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7820, Loss: 0.2920
Epoch 3 Batch 769/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7866, Loss: 0.2905
Epoch 3 Batch 770/1077 - Train Accuracy: 0.7842, Validation Accuracy: 0.7894, Loss: 0.2719
Epoch 3 Batch 771/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7908, Loss: 0.3127
Epoch 3 Batch 772/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7887, Loss: 0.2678
Epoch 3 Batch 773/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7848, Loss: 0.2815
Epoch 3 Batch 774/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7855, Loss: 0.3141
Epoch 3 Batch 775/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7805, Loss: 0.3012
Epoch 3 Batch 776/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7820, Loss: 0.2889
Epoch 3 Batch 777/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.7795, Loss: 0.2855
Epoch 3 Batch 778/1077 - Train Accuracy: 0.7976, Validation Accuracy: 0.7741, Loss: 0.2653
Epoch 3 Batch 779/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.7741, Loss: 0.3003
Epoch 3 Batch 780/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7759, Loss: 0.3210
Epoch 3 Batch 781/1077 - Train Accuracy: 0.8657, Validation Accuracy: 0.7702, Loss: 0.2566
Epoch 3 Batch 782/1077 - Train Accuracy: 0.7917, Validation Accuracy: 0.7727, Loss: 0.2897
Epoch 3 Batch 783/1077 - Train Accuracy: 0.7571, Validation Accuracy: 0.7784, Loss: 0.3070
Epoch 3 Batch 784/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7809, Loss: 0.3059
Epoch 3 Batch 785/1077 - Train Accuracy: 0.8021, Validation Accuracy: 0.7855, Loss: 0.2811
Epoch 3 Batch 786/1077 - Train Accuracy: 0.7352, Validation Accuracy: 0.7720, Loss: 0.3002
Epoch 3 Batch 787/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7678, Loss: 0.2750
Epoch 3 Batch 788/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7756, Loss: 0.2753
Epoch 3 Batch 789/1077 - Train Accuracy: 0.7632, Validation Accuracy: 0.7823, Loss: 0.2990
Epoch 3 Batch 790/1077 - Train Accuracy: 0.7281, Validation Accuracy: 0.7756, Loss: 0.3146
Epoch 3 Batch 791/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7788, Loss: 0.2823
Epoch 3 Batch 792/1077 - Train Accuracy: 0.7715, Validation Accuracy: 0.7759, Loss: 0.3022
Epoch 3 Batch 793/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.7788, Loss: 0.2872
Epoch 3 Batch 794/1077 - Train Accuracy: 0.7574, Validation Accuracy: 0.7745, Loss: 0.2851
Epoch 3 Batch 795/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7699, Loss: 0.3141
Epoch 3 Batch 796/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7766, Loss: 0.2816
Epoch 3 Batch 797/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7852, Loss: 0.2957
Epoch 3 Batch 798/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7859, Loss: 0.3135
Epoch 3 Batch 799/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7930, Loss: 0.3285
Epoch 3 Batch 800/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7901, Loss: 0.2747
Epoch 3 Batch 801/1077 - Train Accuracy: 0.7590, Validation Accuracy: 0.7862, Loss: 0.2816
Epoch 3 Batch 802/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7923, Loss: 0.2930
Epoch 3 Batch 803/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7873, Loss: 0.3078
Epoch 3 Batch 804/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7823, Loss: 0.2729
Epoch 3 Batch 805/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7830, Loss: 0.3058
Epoch 3 Batch 806/1077 - Train Accuracy: 0.7985, Validation Accuracy: 0.7844, Loss: 0.2890
Epoch 3 Batch 807/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7894, Loss: 0.2595
Epoch 3 Batch 808/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7915, Loss: 0.3103
Epoch 3 Batch 809/1077 - Train Accuracy: 0.7545, Validation Accuracy: 0.7898, Loss: 0.3220
Epoch 3 Batch 810/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.7955, Loss: 0.2624
Epoch 3 Batch 811/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.7947, Loss: 0.2723
Epoch 3 Batch 812/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7923, Loss: 0.2857
Epoch 3 Batch 813/1077 - Train Accuracy: 0.7932, Validation Accuracy: 0.7834, Loss: 0.2901
Epoch 3 Batch 814/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7823, Loss: 0.2972
Epoch 3 Batch 815/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7873, Loss: 0.2929
Epoch 3 Batch 816/1077 - Train Accuracy: 0.8252, Validation Accuracy: 0.7823, Loss: 0.3007
Epoch 3 Batch 817/1077 - Train Accuracy: 0.7762, Validation Accuracy: 0.7812, Loss: 0.3268
Epoch 3 Batch 818/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7809, Loss: 0.2897
Epoch 3 Batch 819/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7773, Loss: 0.2764
Epoch 3 Batch 820/1077 - Train Accuracy: 0.7793, Validation Accuracy: 0.7727, Loss: 0.2930
Epoch 3 Batch 821/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7692, Loss: 0.2833
Epoch 3 Batch 822/1077 - Train Accuracy: 0.7680, Validation Accuracy: 0.7802, Loss: 0.2947
Epoch 3 Batch 823/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7734, Loss: 0.2932
Epoch 3 Batch 824/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.7734, Loss: 0.2845
Epoch 3 Batch 825/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7717, Loss: 0.2985
Epoch 3 Batch 826/1077 - Train Accuracy: 0.7671, Validation Accuracy: 0.7724, Loss: 0.2721
Epoch 3 Batch 827/1077 - Train Accuracy: 0.7899, Validation Accuracy: 0.7741, Loss: 0.2974
Epoch 3 Batch 828/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7727, Loss: 0.2863
Epoch 3 Batch 829/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7876, Loss: 0.3197
Epoch 3 Batch 830/1077 - Train Accuracy: 0.7746, Validation Accuracy: 0.7834, Loss: 0.2799
Epoch 3 Batch 831/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7862, Loss: 0.3033
Epoch 3 Batch 832/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7915, Loss: 0.2974
Epoch 3 Batch 833/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7972, Loss: 0.2905
Epoch 3 Batch 834/1077 - Train Accuracy: 0.7827, Validation Accuracy: 0.7979, Loss: 0.2825
Epoch 3 Batch 835/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.7937, Loss: 0.2978
Epoch 3 Batch 836/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7983, Loss: 0.3000
Epoch 3 Batch 837/1077 - Train Accuracy: 0.7711, Validation Accuracy: 0.8068, Loss: 0.3265
Epoch 3 Batch 838/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8086, Loss: 0.2655
Epoch 3 Batch 839/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8043, Loss: 0.2686
Epoch 3 Batch 840/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8089, Loss: 0.2815
Epoch 3 Batch 841/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8065, Loss: 0.2926
Epoch 3 Batch 842/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7994, Loss: 0.2853
Epoch 3 Batch 843/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7944, Loss: 0.2806
Epoch 3 Batch 844/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.7898, Loss: 0.2768
Epoch 3 Batch 845/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7901, Loss: 0.2798
Epoch 3 Batch 846/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8043, Loss: 0.2962
Epoch 3 Batch 847/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.7997, Loss: 0.3034
Epoch 3 Batch 848/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8015, Loss: 0.2675
Epoch 3 Batch 849/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.8015, Loss: 0.2635
Epoch 3 Batch 850/1077 - Train Accuracy: 0.7526, Validation Accuracy: 0.7937, Loss: 0.3076
Epoch 3 Batch 851/1077 - Train Accuracy: 0.8028, Validation Accuracy: 0.7923, Loss: 0.2774
Epoch 3 Batch 852/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7816, Loss: 0.2951
Epoch 3 Batch 853/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7802, Loss: 0.2564
Epoch 3 Batch 854/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7770, Loss: 0.3133
Epoch 3 Batch 855/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7770, Loss: 0.3041
Epoch 3 Batch 856/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.7869, Loss: 0.2991
Epoch 3 Batch 857/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7820, Loss: 0.2676
Epoch 3 Batch 858/1077 - Train Accuracy: 0.8054, Validation Accuracy: 0.7805, Loss: 0.2823
Epoch 3 Batch 859/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7759, Loss: 0.3251
Epoch 3 Batch 860/1077 - Train Accuracy: 0.7667, Validation Accuracy: 0.7745, Loss: 0.2921
Epoch 3 Batch 861/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7738, Loss: 0.2765
Epoch 3 Batch 862/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.7731, Loss: 0.2906
Epoch 3 Batch 863/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.7741, Loss: 0.2738
Epoch 3 Batch 864/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7653, Loss: 0.2704
Epoch 3 Batch 865/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.7667, Loss: 0.2760
Epoch 3 Batch 866/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.7678, Loss: 0.2764
Epoch 3 Batch 867/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7741, Loss: 0.3536
Epoch 3 Batch 868/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7738, Loss: 0.2846
Epoch 3 Batch 869/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7756, Loss: 0.2891
Epoch 3 Batch 870/1077 - Train Accuracy: 0.7319, Validation Accuracy: 0.7734, Loss: 0.3128
Epoch 3 Batch 871/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7734, Loss: 0.2930
Epoch 3 Batch 872/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7738, Loss: 0.2807
Epoch 3 Batch 873/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7724, Loss: 0.2870
Epoch 3 Batch 874/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7592, Loss: 0.3020
Epoch 3 Batch 875/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7724, Loss: 0.3145
Epoch 3 Batch 876/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7773, Loss: 0.3140
Epoch 3 Batch 877/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7763, Loss: 0.2804
Epoch 3 Batch 878/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.7752, Loss: 0.2976
Epoch 3 Batch 879/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7695, Loss: 0.2770
Epoch 3 Batch 880/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.7809, Loss: 0.2823
Epoch 3 Batch 881/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7837, Loss: 0.2929
Epoch 3 Batch 882/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.7795, Loss: 0.3141
Epoch 3 Batch 883/1077 - Train Accuracy: 0.7730, Validation Accuracy: 0.7859, Loss: 0.3396
Epoch 3 Batch 884/1077 - Train Accuracy: 0.7637, Validation Accuracy: 0.7812, Loss: 0.2910
Epoch 3 Batch 885/1077 - Train Accuracy: 0.8139, Validation Accuracy: 0.7809, Loss: 0.2492
Epoch 3 Batch 886/1077 - Train Accuracy: 0.7797, Validation Accuracy: 0.7841, Loss: 0.2902
Epoch 3 Batch 887/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7869, Loss: 0.3221
Epoch 3 Batch 888/1077 - Train Accuracy: 0.8065, Validation Accuracy: 0.7887, Loss: 0.2573
Epoch 3 Batch 889/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7830, Loss: 0.2999
Epoch 3 Batch 890/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.7873, Loss: 0.2808
Epoch 3 Batch 891/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7798, Loss: 0.3079
Epoch 3 Batch 892/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.7827, Loss: 0.2734
Epoch 3 Batch 893/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7770, Loss: 0.2779
Epoch 3 Batch 894/1077 - Train Accuracy: 0.7958, Validation Accuracy: 0.7784, Loss: 0.2760
Epoch 3 Batch 895/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7766, Loss: 0.2951
Epoch 3 Batch 896/1077 - Train Accuracy: 0.7368, Validation Accuracy: 0.7749, Loss: 0.3222
Epoch 3 Batch 897/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7713, Loss: 0.2476
Epoch 3 Batch 898/1077 - Train Accuracy: 0.8274, Validation Accuracy: 0.7795, Loss: 0.2754
Epoch 3 Batch 899/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7823, Loss: 0.2992
Epoch 3 Batch 900/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.7862, Loss: 0.3064
Epoch 3 Batch 901/1077 - Train Accuracy: 0.8062, Validation Accuracy: 0.7809, Loss: 0.3044
Epoch 3 Batch 902/1077 - Train Accuracy: 0.7913, Validation Accuracy: 0.7724, Loss: 0.3040
Epoch 3 Batch 903/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7816, Loss: 0.2751
Epoch 3 Batch 904/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7834, Loss: 0.3065
Epoch 3 Batch 905/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7795, Loss: 0.2795
Epoch 3 Batch 906/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.7798, Loss: 0.2881
Epoch 3 Batch 907/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7951, Loss: 0.2886
Epoch 3 Batch 908/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7947, Loss: 0.3032
Epoch 3 Batch 909/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8050, Loss: 0.2854
Epoch 3 Batch 910/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7987, Loss: 0.2851
Epoch 3 Batch 911/1077 - Train Accuracy: 0.8143, Validation Accuracy: 0.8022, Loss: 0.2841
Epoch 3 Batch 912/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7933, Loss: 0.2953
Epoch 3 Batch 913/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7884, Loss: 0.3304
Epoch 3 Batch 914/1077 - Train Accuracy: 0.8311, Validation Accuracy: 0.7940, Loss: 0.2887
Epoch 3 Batch 915/1077 - Train Accuracy: 0.7697, Validation Accuracy: 0.7898, Loss: 0.2893
Epoch 3 Batch 916/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7855, Loss: 0.3074
Epoch 3 Batch 917/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7773, Loss: 0.2883
Epoch 3 Batch 918/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.7837, Loss: 0.2765
Epoch 3 Batch 919/1077 - Train Accuracy: 0.8442, Validation Accuracy: 0.7830, Loss: 0.2896
Epoch 3 Batch 920/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7915, Loss: 0.3011
Epoch 3 Batch 921/1077 - Train Accuracy: 0.7672, Validation Accuracy: 0.7955, Loss: 0.3075
Epoch 3 Batch 922/1077 - Train Accuracy: 0.7597, Validation Accuracy: 0.7944, Loss: 0.2995
Epoch 3 Batch 923/1077 - Train Accuracy: 0.7956, Validation Accuracy: 0.7837, Loss: 0.2738
Epoch 3 Batch 924/1077 - Train Accuracy: 0.7944, Validation Accuracy: 0.7738, Loss: 0.3236
Epoch 3 Batch 925/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7784, Loss: 0.2630
Epoch 3 Batch 926/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7791, Loss: 0.2967
Epoch 3 Batch 927/1077 - Train Accuracy: 0.7391, Validation Accuracy: 0.7898, Loss: 0.3053
Epoch 3 Batch 928/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7880, Loss: 0.2967
Epoch 3 Batch 929/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7873, Loss: 0.3042
Epoch 3 Batch 930/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7919, Loss: 0.2697
Epoch 3 Batch 931/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7987, Loss: 0.2904
Epoch 3 Batch 932/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7894, Loss: 0.2734
Epoch 3 Batch 933/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7873, Loss: 0.3050
Epoch 3 Batch 934/1077 - Train Accuracy: 0.7766, Validation Accuracy: 0.7880, Loss: 0.2882
Epoch 3 Batch 935/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7898, Loss: 0.3065
Epoch 3 Batch 936/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7841, Loss: 0.3010
Epoch 3 Batch 937/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.7933, Loss: 0.3123
Epoch 3 Batch 938/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.7898, Loss: 0.3132
Epoch 3 Batch 939/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7876, Loss: 0.2862
Epoch 3 Batch 940/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.7869, Loss: 0.3068
Epoch 3 Batch 941/1077 - Train Accuracy: 0.8106, Validation Accuracy: 0.7841, Loss: 0.2836
Epoch 3 Batch 942/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7802, Loss: 0.3085
Epoch 3 Batch 943/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7834, Loss: 0.3067
Epoch 3 Batch 944/1077 - Train Accuracy: 0.8002, Validation Accuracy: 0.7827, Loss: 0.2651
Epoch 3 Batch 945/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7791, Loss: 0.2897
Epoch 3 Batch 946/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.7805, Loss: 0.3032
Epoch 3 Batch 947/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7798, Loss: 0.3079
Epoch 3 Batch 948/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7841, Loss: 0.2712
Epoch 3 Batch 949/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7717, Loss: 0.2610
Epoch 3 Batch 950/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.7699, Loss: 0.2776
Epoch 3 Batch 951/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7727, Loss: 0.2986
Epoch 3 Batch 952/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7784, Loss: 0.2758
Epoch 3 Batch 953/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.7844, Loss: 0.3010
Epoch 3 Batch 954/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7795, Loss: 0.3119
Epoch 3 Batch 955/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7898, Loss: 0.2868
Epoch 3 Batch 956/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.7852, Loss: 0.3058
Epoch 3 Batch 957/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.7908, Loss: 0.2767
Epoch 3 Batch 958/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7965, Loss: 0.2983
Epoch 3 Batch 959/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7827, Loss: 0.2725
Epoch 3 Batch 960/1077 - Train Accuracy: 0.8151, Validation Accuracy: 0.7781, Loss: 0.2769
Epoch 3 Batch 961/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7844, Loss: 0.2941
Epoch 3 Batch 962/1077 - Train Accuracy: 0.8155, Validation Accuracy: 0.7855, Loss: 0.2683
Epoch 3 Batch 963/1077 - Train Accuracy: 0.7847, Validation Accuracy: 0.7880, Loss: 0.3405
Epoch 3 Batch 964/1077 - Train Accuracy: 0.8304, Validation Accuracy: 0.7852, Loss: 0.2587
Epoch 3 Batch 965/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7940, Loss: 0.3117
Epoch 3 Batch 966/1077 - Train Accuracy: 0.8067, Validation Accuracy: 0.7844, Loss: 0.2643
Epoch 3 Batch 967/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7884, Loss: 0.2817
Epoch 3 Batch 968/1077 - Train Accuracy: 0.7391, Validation Accuracy: 0.7912, Loss: 0.2993
Epoch 3 Batch 969/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.7923, Loss: 0.3118
Epoch 3 Batch 970/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.8033, Loss: 0.3124
Epoch 3 Batch 971/1077 - Train Accuracy: 0.8225, Validation Accuracy: 0.7990, Loss: 0.2783
Epoch 3 Batch 972/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7940, Loss: 0.2724
Epoch 3 Batch 973/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.7933, Loss: 0.2759
Epoch 3 Batch 974/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7923, Loss: 0.2636
Epoch 3 Batch 975/1077 - Train Accuracy: 0.7835, Validation Accuracy: 0.7923, Loss: 0.2740
Epoch 3 Batch 976/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7923, Loss: 0.2684
Epoch 3 Batch 977/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7855, Loss: 0.2594
Epoch 3 Batch 978/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7880, Loss: 0.3085
Epoch 3 Batch 979/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7887, Loss: 0.3114
Epoch 3 Batch 980/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7880, Loss: 0.2824
Epoch 3 Batch 981/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7816, Loss: 0.2869
Epoch 3 Batch 982/1077 - Train Accuracy: 0.7935, Validation Accuracy: 0.7777, Loss: 0.2822
Epoch 3 Batch 983/1077 - Train Accuracy: 0.7726, Validation Accuracy: 0.7820, Loss: 0.3043
Epoch 3 Batch 984/1077 - Train Accuracy: 0.7535, Validation Accuracy: 0.7770, Loss: 0.3037
Epoch 3 Batch 985/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7788, Loss: 0.2865
Epoch 3 Batch 986/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7756, Loss: 0.2866
Epoch 3 Batch 987/1077 - Train Accuracy: 0.7504, Validation Accuracy: 0.7745, Loss: 0.2651
Epoch 3 Batch 988/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7781, Loss: 0.2858
Epoch 3 Batch 989/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7866, Loss: 0.2811
Epoch 3 Batch 990/1077 - Train Accuracy: 0.7718, Validation Accuracy: 0.7919, Loss: 0.2956
Epoch 3 Batch 991/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.7887, Loss: 0.2745
Epoch 3 Batch 992/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8026, Loss: 0.2769
Epoch 3 Batch 993/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8111, Loss: 0.2658
Epoch 3 Batch 994/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8065, Loss: 0.2774
Epoch 3 Batch 995/1077 - Train Accuracy: 0.8114, Validation Accuracy: 0.7876, Loss: 0.2742
Epoch 3 Batch 996/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7866, Loss: 0.2897
Epoch 3 Batch 997/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.7884, Loss: 0.2749
Epoch 3 Batch 998/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.7873, Loss: 0.2651
Epoch 3 Batch 999/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7891, Loss: 0.2813
Epoch 3 Batch 1000/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7866, Loss: 0.2607
Epoch 3 Batch 1001/1077 - Train Accuracy: 0.8196, Validation Accuracy: 0.7915, Loss: 0.2599
Epoch 3 Batch 1002/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7869, Loss: 0.2622
Epoch 3 Batch 1003/1077 - Train Accuracy: 0.8372, Validation Accuracy: 0.7834, Loss: 0.3040
Epoch 3 Batch 1004/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7859, Loss: 0.2960
Epoch 3 Batch 1005/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.7802, Loss: 0.2865
Epoch 3 Batch 1006/1077 - Train Accuracy: 0.7793, Validation Accuracy: 0.7816, Loss: 0.2613
Epoch 3 Batch 1007/1077 - Train Accuracy: 0.8389, Validation Accuracy: 0.7837, Loss: 0.2565
Epoch 3 Batch 1008/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7841, Loss: 0.3063
Epoch 3 Batch 1009/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7859, Loss: 0.2500
Epoch 3 Batch 1010/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7965, Loss: 0.2860
Epoch 3 Batch 1011/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7958, Loss: 0.2800
Epoch 3 Batch 1012/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.7905, Loss: 0.2464
Epoch 3 Batch 1013/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.7997, Loss: 0.2584
Epoch 3 Batch 1014/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.8026, Loss: 0.3046
Epoch 3 Batch 1015/1077 - Train Accuracy: 0.7762, Validation Accuracy: 0.8040, Loss: 0.3047
Epoch 3 Batch 1016/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.8114, Loss: 0.2847
Epoch 3 Batch 1017/1077 - Train Accuracy: 0.8084, Validation Accuracy: 0.8089, Loss: 0.3037
Epoch 3 Batch 1018/1077 - Train Accuracy: 0.7511, Validation Accuracy: 0.8015, Loss: 0.2770
Epoch 3 Batch 1019/1077 - Train Accuracy: 0.8076, Validation Accuracy: 0.8008, Loss: 0.3104
Epoch 3 Batch 1020/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7976, Loss: 0.2664
Epoch 3 Batch 1021/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7944, Loss: 0.2688
Epoch 3 Batch 1022/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7926, Loss: 0.2632
Epoch 3 Batch 1023/1077 - Train Accuracy: 0.8182, Validation Accuracy: 0.7940, Loss: 0.2822
Epoch 3 Batch 1024/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7933, Loss: 0.3098
Epoch 3 Batch 1025/1077 - Train Accuracy: 0.7831, Validation Accuracy: 0.7979, Loss: 0.2938
Epoch 3 Batch 1026/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7919, Loss: 0.2721
Epoch 3 Batch 1027/1077 - Train Accuracy: 0.7742, Validation Accuracy: 0.7884, Loss: 0.3096
Epoch 3 Batch 1028/1077 - Train Accuracy: 0.7615, Validation Accuracy: 0.7837, Loss: 0.2785
Epoch 3 Batch 1029/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7848, Loss: 0.2674
Epoch 3 Batch 1030/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.7887, Loss: 0.2772
Epoch 3 Batch 1031/1077 - Train Accuracy: 0.7952, Validation Accuracy: 0.7940, Loss: 0.2953
Epoch 3 Batch 1032/1077 - Train Accuracy: 0.7764, Validation Accuracy: 0.7972, Loss: 0.2981
Epoch 3 Batch 1033/1077 - Train Accuracy: 0.7861, Validation Accuracy: 0.8018, Loss: 0.2870
Epoch 3 Batch 1034/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7965, Loss: 0.2936
Epoch 3 Batch 1035/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.7926, Loss: 0.2420
Epoch 3 Batch 1036/1077 - Train Accuracy: 0.7995, Validation Accuracy: 0.7912, Loss: 0.2910
Epoch 3 Batch 1037/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7987, Loss: 0.2892
Epoch 3 Batch 1038/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7987, Loss: 0.2913
Epoch 3 Batch 1039/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8026, Loss: 0.2747
Epoch 3 Batch 1040/1077 - Train Accuracy: 0.7874, Validation Accuracy: 0.8068, Loss: 0.3013
Epoch 3 Batch 1041/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.8004, Loss: 0.3024
Epoch 3 Batch 1042/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7947, Loss: 0.2857
Epoch 3 Batch 1043/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7894, Loss: 0.3072
Epoch 3 Batch 1044/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.7873, Loss: 0.3187
Epoch 3 Batch 1045/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7805, Loss: 0.3025
Epoch 3 Batch 1046/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7894, Loss: 0.2441
Epoch 3 Batch 1047/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.7837, Loss: 0.2767
Epoch 3 Batch 1048/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7841, Loss: 0.2841
Epoch 3 Batch 1049/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7837, Loss: 0.2818
Epoch 3 Batch 1050/1077 - Train Accuracy: 0.7652, Validation Accuracy: 0.7873, Loss: 0.2983
Epoch 3 Batch 1051/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7887, Loss: 0.2789
Epoch 3 Batch 1052/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7926, Loss: 0.2569
Epoch 3 Batch 1053/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7933, Loss: 0.2696
Epoch 3 Batch 1054/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.7930, Loss: 0.2912
Epoch 3 Batch 1055/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8015, Loss: 0.2674
Epoch 3 Batch 1056/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7997, Loss: 0.2770
Epoch 3 Batch 1057/1077 - Train Accuracy: 0.7775, Validation Accuracy: 0.7969, Loss: 0.3088
Epoch 3 Batch 1058/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7905, Loss: 0.3292
Epoch 3 Batch 1059/1077 - Train Accuracy: 0.7492, Validation Accuracy: 0.7901, Loss: 0.3541
Epoch 3 Batch 1060/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7937, Loss: 0.2857
Epoch 3 Batch 1061/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7884, Loss: 0.2970
Epoch 3 Batch 1062/1077 - Train Accuracy: 0.7922, Validation Accuracy: 0.7908, Loss: 0.2929
Epoch 3 Batch 1063/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.7919, Loss: 0.2696
Epoch 3 Batch 1064/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7972, Loss: 0.2994
Epoch 3 Batch 1065/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7955, Loss: 0.2933
Epoch 3 Batch 1066/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7969, Loss: 0.2782
Epoch 3 Batch 1067/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.7987, Loss: 0.2989
Epoch 3 Batch 1068/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7919, Loss: 0.2783
Epoch 3 Batch 1069/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.7901, Loss: 0.2587
Epoch 3 Batch 1070/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7841, Loss: 0.2784
Epoch 3 Batch 1071/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7905, Loss: 0.2724
Epoch 3 Batch 1072/1077 - Train Accuracy: 0.7939, Validation Accuracy: 0.7873, Loss: 0.2627
Epoch 3 Batch 1073/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7848, Loss: 0.2929
Epoch 3 Batch 1074/1077 - Train Accuracy: 0.8069, Validation Accuracy: 0.7933, Loss: 0.2978
Epoch 3 Batch 1075/1077 - Train Accuracy: 0.8228, Validation Accuracy: 0.7979, Loss: 0.2918
Epoch 4 Batch 1/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8008, Loss: 0.2735
Epoch 4 Batch 2/1077 - Train Accuracy: 0.7644, Validation Accuracy: 0.7915, Loss: 0.2929
Epoch 4 Batch 3/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.7919, Loss: 0.2984
Epoch 4 Batch 4/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7951, Loss: 0.3042
Epoch 4 Batch 5/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7947, Loss: 0.3129
Epoch 4 Batch 6/1077 - Train Accuracy: 0.7773, Validation Accuracy: 0.7905, Loss: 0.2729
Epoch 4 Batch 7/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7923, Loss: 0.2704
Epoch 4 Batch 8/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7994, Loss: 0.2808
Epoch 4 Batch 9/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7972, Loss: 0.2847
Epoch 4 Batch 10/1077 - Train Accuracy: 0.8232, Validation Accuracy: 0.7919, Loss: 0.3019
Epoch 4 Batch 11/1077 - Train Accuracy: 0.7667, Validation Accuracy: 0.7905, Loss: 0.3007
Epoch 4 Batch 12/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7933, Loss: 0.2903
Epoch 4 Batch 13/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.7965, Loss: 0.2965
Epoch 4 Batch 14/1077 - Train Accuracy: 0.8322, Validation Accuracy: 0.8004, Loss: 0.2585
Epoch 4 Batch 15/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.7944, Loss: 0.2661
Epoch 4 Batch 16/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7937, Loss: 0.3025
Epoch 4 Batch 17/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8022, Loss: 0.2661
Epoch 4 Batch 18/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.8029, Loss: 0.3019
Epoch 4 Batch 19/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.7926, Loss: 0.2734
Epoch 4 Batch 20/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.7866, Loss: 0.2619
Epoch 4 Batch 21/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7852, Loss: 0.2957
Epoch 4 Batch 22/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.7827, Loss: 0.2911
Epoch 4 Batch 23/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7812, Loss: 0.2823
Epoch 4 Batch 24/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7834, Loss: 0.2723
Epoch 4 Batch 25/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7798, Loss: 0.2830
Epoch 4 Batch 26/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7805, Loss: 0.3004
Epoch 4 Batch 27/1077 - Train Accuracy: 0.8415, Validation Accuracy: 0.7816, Loss: 0.2528
Epoch 4 Batch 28/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.7919, Loss: 0.2741
Epoch 4 Batch 29/1077 - Train Accuracy: 0.7762, Validation Accuracy: 0.7852, Loss: 0.2832
Epoch 4 Batch 30/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7866, Loss: 0.2645
Epoch 4 Batch 31/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7841, Loss: 0.2880
Epoch 4 Batch 32/1077 - Train Accuracy: 0.7820, Validation Accuracy: 0.7724, Loss: 0.2800
Epoch 4 Batch 33/1077 - Train Accuracy: 0.8077, Validation Accuracy: 0.7752, Loss: 0.2621
Epoch 4 Batch 34/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7724, Loss: 0.2727
Epoch 4 Batch 35/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7656, Loss: 0.2683
Epoch 4 Batch 36/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7724, Loss: 0.2909
Epoch 4 Batch 37/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7713, Loss: 0.2777
Epoch 4 Batch 38/1077 - Train Accuracy: 0.7566, Validation Accuracy: 0.7802, Loss: 0.3282
Epoch 4 Batch 39/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7809, Loss: 0.3069
Epoch 4 Batch 40/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7749, Loss: 0.2928
Epoch 4 Batch 41/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.7766, Loss: 0.2832
Epoch 4 Batch 42/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7951, Loss: 0.2962
Epoch 4 Batch 43/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.7876, Loss: 0.2610
Epoch 4 Batch 44/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8011, Loss: 0.2837
Epoch 4 Batch 45/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7940, Loss: 0.2710
Epoch 4 Batch 46/1077 - Train Accuracy: 0.7636, Validation Accuracy: 0.7958, Loss: 0.3045
Epoch 4 Batch 47/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8008, Loss: 0.2890
Epoch 4 Batch 48/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7965, Loss: 0.3125
Epoch 4 Batch 49/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.8072, Loss: 0.2799
Epoch 4 Batch 50/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.8004, Loss: 0.2759
Epoch 4 Batch 51/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8058, Loss: 0.2723
Epoch 4 Batch 52/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7979, Loss: 0.2683
Epoch 4 Batch 53/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7987, Loss: 0.2973
Epoch 4 Batch 54/1077 - Train Accuracy: 0.7559, Validation Accuracy: 0.7933, Loss: 0.3298
Epoch 4 Batch 55/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7962, Loss: 0.2704
Epoch 4 Batch 56/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7848, Loss: 0.2516
Epoch 4 Batch 57/1077 - Train Accuracy: 0.7575, Validation Accuracy: 0.7884, Loss: 0.2638
Epoch 4 Batch 58/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7912, Loss: 0.2490
Epoch 4 Batch 59/1077 - Train Accuracy: 0.7870, Validation Accuracy: 0.7908, Loss: 0.2962
Epoch 4 Batch 60/1077 - Train Accuracy: 0.7995, Validation Accuracy: 0.7923, Loss: 0.2691
Epoch 4 Batch 61/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.7866, Loss: 0.3006
Epoch 4 Batch 62/1077 - Train Accuracy: 0.7845, Validation Accuracy: 0.7859, Loss: 0.2891
Epoch 4 Batch 63/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.7869, Loss: 0.2561
Epoch 4 Batch 64/1077 - Train Accuracy: 0.7727, Validation Accuracy: 0.7798, Loss: 0.2713
Epoch 4 Batch 65/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.7784, Loss: 0.2842
Epoch 4 Batch 66/1077 - Train Accuracy: 0.8292, Validation Accuracy: 0.7784, Loss: 0.2371
Epoch 4 Batch 67/1077 - Train Accuracy: 0.8010, Validation Accuracy: 0.7791, Loss: 0.2826
Epoch 4 Batch 68/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7848, Loss: 0.2806
Epoch 4 Batch 69/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7926, Loss: 0.3124
Epoch 4 Batch 70/1077 - Train Accuracy: 0.7800, Validation Accuracy: 0.7884, Loss: 0.2823
Epoch 4 Batch 71/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.7891, Loss: 0.2505
Epoch 4 Batch 72/1077 - Train Accuracy: 0.7914, Validation Accuracy: 0.7894, Loss: 0.2788
Epoch 4 Batch 73/1077 - Train Accuracy: 0.7660, Validation Accuracy: 0.7894, Loss: 0.2756
Epoch 4 Batch 74/1077 - Train Accuracy: 0.7794, Validation Accuracy: 0.7898, Loss: 0.2436
Epoch 4 Batch 75/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7795, Loss: 0.2913
Epoch 4 Batch 76/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7685, Loss: 0.2533
Epoch 4 Batch 77/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7773, Loss: 0.2736
Epoch 4 Batch 78/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7919, Loss: 0.2845
Epoch 4 Batch 79/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7944, Loss: 0.2740
Epoch 4 Batch 80/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8004, Loss: 0.2648
Epoch 4 Batch 81/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.8008, Loss: 0.2761
Epoch 4 Batch 82/1077 - Train Accuracy: 0.8033, Validation Accuracy: 0.7891, Loss: 0.2338
Epoch 4 Batch 83/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.7869, Loss: 0.2927
Epoch 4 Batch 84/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.7884, Loss: 0.2696
Epoch 4 Batch 85/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7876, Loss: 0.2476
Epoch 4 Batch 86/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.7915, Loss: 0.2845
Epoch 4 Batch 87/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7841, Loss: 0.3177
Epoch 4 Batch 88/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7820, Loss: 0.2919
Epoch 4 Batch 89/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.7805, Loss: 0.2640
Epoch 4 Batch 90/1077 - Train Accuracy: 0.7602, Validation Accuracy: 0.7862, Loss: 0.2891
Epoch 4 Batch 91/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.7894, Loss: 0.2535
Epoch 4 Batch 92/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.7898, Loss: 0.2778
Epoch 4 Batch 93/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7898, Loss: 0.2920
Epoch 4 Batch 94/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.7912, Loss: 0.2694
Epoch 4 Batch 95/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8050, Loss: 0.2858
Epoch 4 Batch 96/1077 - Train Accuracy: 0.7914, Validation Accuracy: 0.7937, Loss: 0.2683
Epoch 4 Batch 97/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7940, Loss: 0.2930
Epoch 4 Batch 98/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.7962, Loss: 0.2784
Epoch 4 Batch 99/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7933, Loss: 0.2986
Epoch 4 Batch 100/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7866, Loss: 0.2832
Epoch 4 Batch 101/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.7873, Loss: 0.2614
Epoch 4 Batch 102/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7770, Loss: 0.2572
Epoch 4 Batch 103/1077 - Train Accuracy: 0.7759, Validation Accuracy: 0.7795, Loss: 0.3064
Epoch 4 Batch 104/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7869, Loss: 0.3139
Epoch 4 Batch 105/1077 - Train Accuracy: 0.7855, Validation Accuracy: 0.7937, Loss: 0.2724
Epoch 4 Batch 106/1077 - Train Accuracy: 0.7932, Validation Accuracy: 0.8065, Loss: 0.3362
Epoch 4 Batch 107/1077 - Train Accuracy: 0.7757, Validation Accuracy: 0.8036, Loss: 0.2657
Epoch 4 Batch 108/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.8132, Loss: 0.2626
Epoch 4 Batch 109/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8111, Loss: 0.2894
Epoch 4 Batch 110/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8139, Loss: 0.2569
Epoch 4 Batch 111/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.8036, Loss: 0.2890
Epoch 4 Batch 112/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.8015, Loss: 0.2679
Epoch 4 Batch 113/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.8061, Loss: 0.2846
Epoch 4 Batch 114/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8050, Loss: 0.2606
Epoch 4 Batch 115/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8029, Loss: 0.2984
Epoch 4 Batch 116/1077 - Train Accuracy: 0.7539, Validation Accuracy: 0.8065, Loss: 0.2851
Epoch 4 Batch 117/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.8061, Loss: 0.2947
Epoch 4 Batch 118/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.8114, Loss: 0.2956
Epoch 4 Batch 119/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.8121, Loss: 0.2659
Epoch 4 Batch 120/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8061, Loss: 0.3210
Epoch 4 Batch 121/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8093, Loss: 0.2828
Epoch 4 Batch 122/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8061, Loss: 0.2698
Epoch 4 Batch 123/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8125, Loss: 0.2573
Epoch 4 Batch 124/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8072, Loss: 0.2987
Epoch 4 Batch 125/1077 - Train Accuracy: 0.8118, Validation Accuracy: 0.8018, Loss: 0.2678
Epoch 4 Batch 126/1077 - Train Accuracy: 0.8181, Validation Accuracy: 0.8026, Loss: 0.2590
Epoch 4 Batch 127/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.8029, Loss: 0.2714
Epoch 4 Batch 128/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8089, Loss: 0.2582
Epoch 4 Batch 129/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.8089, Loss: 0.2858
Epoch 4 Batch 130/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.8125, Loss: 0.2630
Epoch 4 Batch 131/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.8143, Loss: 0.2816
Epoch 4 Batch 132/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8079, Loss: 0.2763
Epoch 4 Batch 133/1077 - Train Accuracy: 0.7821, Validation Accuracy: 0.8097, Loss: 0.2721
Epoch 4 Batch 134/1077 - Train Accuracy: 0.8296, Validation Accuracy: 0.8132, Loss: 0.2783
Epoch 4 Batch 135/1077 - Train Accuracy: 0.8174, Validation Accuracy: 0.8001, Loss: 0.2900
Epoch 4 Batch 136/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7898, Loss: 0.2745
Epoch 4 Batch 137/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7844, Loss: 0.2352
Epoch 4 Batch 138/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7869, Loss: 0.2654
Epoch 4 Batch 139/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7855, Loss: 0.2694
Epoch 4 Batch 140/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.7876, Loss: 0.2906
Epoch 4 Batch 141/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7880, Loss: 0.2919
Epoch 4 Batch 142/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.7884, Loss: 0.2595
Epoch 4 Batch 143/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.7884, Loss: 0.2692
Epoch 4 Batch 144/1077 - Train Accuracy: 0.7537, Validation Accuracy: 0.7823, Loss: 0.3043
Epoch 4 Batch 145/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7930, Loss: 0.2766
Epoch 4 Batch 146/1077 - Train Accuracy: 0.7909, Validation Accuracy: 0.7987, Loss: 0.3136
Epoch 4 Batch 147/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.8036, Loss: 0.2805
Epoch 4 Batch 148/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.8036, Loss: 0.2793
Epoch 4 Batch 149/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.8068, Loss: 0.2784
Epoch 4 Batch 150/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8100, Loss: 0.2606
Epoch 4 Batch 151/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.8295, Loss: 0.2429
Epoch 4 Batch 152/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8207, Loss: 0.3008
Epoch 4 Batch 153/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.8153, Loss: 0.3223
Epoch 4 Batch 154/1077 - Train Accuracy: 0.8183, Validation Accuracy: 0.8043, Loss: 0.2977
Epoch 4 Batch 155/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8082, Loss: 0.2630
Epoch 4 Batch 156/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.8082, Loss: 0.2599
Epoch 4 Batch 157/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.8061, Loss: 0.2640
Epoch 4 Batch 158/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8033, Loss: 0.2863
Epoch 4 Batch 159/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.8050, Loss: 0.2430
Epoch 4 Batch 160/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.7887, Loss: 0.2439
Epoch 4 Batch 161/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7944, Loss: 0.2534
Epoch 4 Batch 162/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7926, Loss: 0.2925
Epoch 4 Batch 163/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7944, Loss: 0.2982
Epoch 4 Batch 164/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7937, Loss: 0.2754
Epoch 4 Batch 165/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7848, Loss: 0.2641
Epoch 4 Batch 166/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7908, Loss: 0.2843
Epoch 4 Batch 167/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7940, Loss: 0.2771
Epoch 4 Batch 168/1077 - Train Accuracy: 0.7808, Validation Accuracy: 0.7955, Loss: 0.2951
Epoch 4 Batch 169/1077 - Train Accuracy: 0.8036, Validation Accuracy: 0.7891, Loss: 0.2925
Epoch 4 Batch 170/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7933, Loss: 0.3040
Epoch 4 Batch 171/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7969, Loss: 0.2572
Epoch 4 Batch 172/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.7940, Loss: 0.2395
Epoch 4 Batch 173/1077 - Train Accuracy: 0.7878, Validation Accuracy: 0.8072, Loss: 0.3001
Epoch 4 Batch 174/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8043, Loss: 0.2628
Epoch 4 Batch 175/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8015, Loss: 0.2750
Epoch 4 Batch 176/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.8040, Loss: 0.2780
Epoch 4 Batch 177/1077 - Train Accuracy: 0.8228, Validation Accuracy: 0.8047, Loss: 0.2977
Epoch 4 Batch 178/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8022, Loss: 0.3070
Epoch 4 Batch 179/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8026, Loss: 0.2946
Epoch 4 Batch 180/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.7979, Loss: 0.2705
Epoch 4 Batch 181/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7987, Loss: 0.2925
Epoch 4 Batch 182/1077 - Train Accuracy: 0.7987, Validation Accuracy: 0.8008, Loss: 0.2886
Epoch 4 Batch 183/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7997, Loss: 0.2836
Epoch 4 Batch 184/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.7898, Loss: 0.2637
Epoch 4 Batch 185/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7919, Loss: 0.2747
Epoch 4 Batch 186/1077 - Train Accuracy: 0.8331, Validation Accuracy: 0.7972, Loss: 0.2762
Epoch 4 Batch 187/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8118, Loss: 0.2709
Epoch 4 Batch 188/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.8150, Loss: 0.2772
Epoch 4 Batch 189/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8022, Loss: 0.2595
Epoch 4 Batch 190/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8089, Loss: 0.2734
Epoch 4 Batch 191/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8029, Loss: 0.2408
Epoch 4 Batch 192/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8050, Loss: 0.2968
Epoch 4 Batch 193/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8022, Loss: 0.2522
Epoch 4 Batch 194/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8036, Loss: 0.2464
Epoch 4 Batch 195/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8036, Loss: 0.2816
Epoch 4 Batch 196/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8015, Loss: 0.2669
Epoch 4 Batch 197/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7969, Loss: 0.2758
Epoch 4 Batch 198/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8004, Loss: 0.2610
Epoch 4 Batch 199/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.8026, Loss: 0.2597
Epoch 4 Batch 200/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7983, Loss: 0.2730
Epoch 4 Batch 201/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7898, Loss: 0.2385
Epoch 4 Batch 202/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7880, Loss: 0.2747
Epoch 4 Batch 203/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7880, Loss: 0.2704
Epoch 4 Batch 204/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.7919, Loss: 0.3062
Epoch 4 Batch 205/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.7802, Loss: 0.2949
Epoch 4 Batch 206/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7823, Loss: 0.2612
Epoch 4 Batch 207/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7791, Loss: 0.2660
Epoch 4 Batch 208/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7809, Loss: 0.2610
Epoch 4 Batch 209/1077 - Train Accuracy: 0.8032, Validation Accuracy: 0.7844, Loss: 0.2567
Epoch 4 Batch 210/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7887, Loss: 0.2937
Epoch 4 Batch 211/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7951, Loss: 0.2606
Epoch 4 Batch 212/1077 - Train Accuracy: 0.8077, Validation Accuracy: 0.7972, Loss: 0.2505
Epoch 4 Batch 213/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.8008, Loss: 0.2596
Epoch 4 Batch 214/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.8075, Loss: 0.2804
Epoch 4 Batch 215/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.8082, Loss: 0.2894
Epoch 4 Batch 216/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.8011, Loss: 0.2838
Epoch 4 Batch 217/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7901, Loss: 0.2665
Epoch 4 Batch 218/1077 - Train Accuracy: 0.7854, Validation Accuracy: 0.7795, Loss: 0.3042
Epoch 4 Batch 219/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.7837, Loss: 0.2783
Epoch 4 Batch 220/1077 - Train Accuracy: 0.8022, Validation Accuracy: 0.7777, Loss: 0.2824
Epoch 4 Batch 221/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.7891, Loss: 0.2799
Epoch 4 Batch 222/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7937, Loss: 0.2859
Epoch 4 Batch 223/1077 - Train Accuracy: 0.8385, Validation Accuracy: 0.7912, Loss: 0.2559
Epoch 4 Batch 224/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7809, Loss: 0.2795
Epoch 4 Batch 225/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7940, Loss: 0.2734
Epoch 4 Batch 226/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7937, Loss: 0.2550
Epoch 4 Batch 227/1077 - Train Accuracy: 0.7570, Validation Accuracy: 0.7912, Loss: 0.3023
Epoch 4 Batch 228/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7891, Loss: 0.2743
Epoch 4 Batch 229/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.7798, Loss: 0.2826
Epoch 4 Batch 230/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7724, Loss: 0.2760
Epoch 4 Batch 231/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.7678, Loss: 0.3054
Epoch 4 Batch 232/1077 - Train Accuracy: 0.7862, Validation Accuracy: 0.7763, Loss: 0.2887
Epoch 4 Batch 233/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.7731, Loss: 0.3080
Epoch 4 Batch 234/1077 - Train Accuracy: 0.7999, Validation Accuracy: 0.7745, Loss: 0.2833
Epoch 4 Batch 235/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.7727, Loss: 0.2683
Epoch 4 Batch 236/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7674, Loss: 0.2934
Epoch 4 Batch 237/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.7741, Loss: 0.2402
Epoch 4 Batch 238/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7812, Loss: 0.2770
Epoch 4 Batch 239/1077 - Train Accuracy: 0.8073, Validation Accuracy: 0.7848, Loss: 0.2456
Epoch 4 Batch 240/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.7955, Loss: 0.2699
Epoch 4 Batch 241/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8050, Loss: 0.2728
Epoch 4 Batch 242/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8114, Loss: 0.2659
Epoch 4 Batch 243/1077 - Train Accuracy: 0.7633, Validation Accuracy: 0.8118, Loss: 0.2797
Epoch 4 Batch 244/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.8143, Loss: 0.2475
Epoch 4 Batch 245/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8043, Loss: 0.2506
Epoch 4 Batch 246/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8075, Loss: 0.2760
Epoch 4 Batch 247/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.8026, Loss: 0.2648
Epoch 4 Batch 248/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.7983, Loss: 0.2853
Epoch 4 Batch 249/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.8026, Loss: 0.2792
Epoch 4 Batch 250/1077 - Train Accuracy: 0.7866, Validation Accuracy: 0.7958, Loss: 0.2713
Epoch 4 Batch 251/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.7987, Loss: 0.2711
Epoch 4 Batch 252/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7958, Loss: 0.2792
Epoch 4 Batch 253/1077 - Train Accuracy: 0.8175, Validation Accuracy: 0.7905, Loss: 0.2692
Epoch 4 Batch 254/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7876, Loss: 0.2878
Epoch 4 Batch 255/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7880, Loss: 0.2608
Epoch 4 Batch 256/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7933, Loss: 0.2964
Epoch 4 Batch 257/1077 - Train Accuracy: 0.8330, Validation Accuracy: 0.7912, Loss: 0.2658
Epoch 4 Batch 258/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.7915, Loss: 0.2753
Epoch 4 Batch 259/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7972, Loss: 0.2753
Epoch 4 Batch 260/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8001, Loss: 0.2428
Epoch 4 Batch 261/1077 - Train Accuracy: 0.7954, Validation Accuracy: 0.7994, Loss: 0.2735
Epoch 4 Batch 262/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.7937, Loss: 0.2671
Epoch 4 Batch 263/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.8061, Loss: 0.2740
Epoch 4 Batch 264/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7979, Loss: 0.2877
Epoch 4 Batch 265/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7905, Loss: 0.2611
Epoch 4 Batch 266/1077 - Train Accuracy: 0.8077, Validation Accuracy: 0.7915, Loss: 0.2768
Epoch 4 Batch 267/1077 - Train Accuracy: 0.8036, Validation Accuracy: 0.7940, Loss: 0.2422
Epoch 4 Batch 268/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.7994, Loss: 0.2843
Epoch 4 Batch 269/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7955, Loss: 0.2919
Epoch 4 Batch 270/1077 - Train Accuracy: 0.7625, Validation Accuracy: 0.7958, Loss: 0.2827
Epoch 4 Batch 271/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7898, Loss: 0.2496
Epoch 4 Batch 272/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7887, Loss: 0.3221
Epoch 4 Batch 273/1077 - Train Accuracy: 0.7697, Validation Accuracy: 0.7827, Loss: 0.2682
Epoch 4 Batch 274/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.7880, Loss: 0.2695
Epoch 4 Batch 275/1077 - Train Accuracy: 0.7946, Validation Accuracy: 0.7837, Loss: 0.2676
Epoch 4 Batch 276/1077 - Train Accuracy: 0.7672, Validation Accuracy: 0.7674, Loss: 0.3030
Epoch 4 Batch 277/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.7695, Loss: 0.2379
Epoch 4 Batch 278/1077 - Train Accuracy: 0.7562, Validation Accuracy: 0.7770, Loss: 0.3070
Epoch 4 Batch 279/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.7809, Loss: 0.3081
Epoch 4 Batch 280/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7827, Loss: 0.2640
Epoch 4 Batch 281/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7848, Loss: 0.2830
Epoch 4 Batch 282/1077 - Train Accuracy: 0.7770, Validation Accuracy: 0.7802, Loss: 0.3181
Epoch 4 Batch 283/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.7866, Loss: 0.2960
Epoch 4 Batch 284/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7859, Loss: 0.3053
Epoch 4 Batch 285/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.7852, Loss: 0.2681
Epoch 4 Batch 286/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.7795, Loss: 0.2544
Epoch 4 Batch 287/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7876, Loss: 0.2646
Epoch 4 Batch 288/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.7834, Loss: 0.2883
Epoch 4 Batch 289/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.7859, Loss: 0.2508
Epoch 4 Batch 290/1077 - Train Accuracy: 0.7648, Validation Accuracy: 0.7866, Loss: 0.3188
Epoch 4 Batch 291/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7908, Loss: 0.2846
Epoch 4 Batch 292/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.7955, Loss: 0.2805
Epoch 4 Batch 293/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.8008, Loss: 0.2790
Epoch 4 Batch 294/1077 - Train Accuracy: 0.8111, Validation Accuracy: 0.8054, Loss: 0.2719
Epoch 4 Batch 295/1077 - Train Accuracy: 0.8026, Validation Accuracy: 0.8079, Loss: 0.3146
Epoch 4 Batch 296/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8086, Loss: 0.2827
Epoch 4 Batch 297/1077 - Train Accuracy: 0.7629, Validation Accuracy: 0.8058, Loss: 0.2955
Epoch 4 Batch 298/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.8043, Loss: 0.2958
Epoch 4 Batch 299/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7958, Loss: 0.2841
Epoch 4 Batch 300/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7937, Loss: 0.2726
Epoch 4 Batch 301/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7812, Loss: 0.2576
Epoch 4 Batch 302/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7805, Loss: 0.2557
Epoch 4 Batch 303/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7912, Loss: 0.3076
Epoch 4 Batch 304/1077 - Train Accuracy: 0.8140, Validation Accuracy: 0.7841, Loss: 0.2441
Epoch 4 Batch 305/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7784, Loss: 0.2544
Epoch 4 Batch 306/1077 - Train Accuracy: 0.8073, Validation Accuracy: 0.7678, Loss: 0.2631
Epoch 4 Batch 307/1077 - Train Accuracy: 0.7842, Validation Accuracy: 0.7699, Loss: 0.2722
Epoch 4 Batch 308/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7695, Loss: 0.2926
Epoch 4 Batch 309/1077 - Train Accuracy: 0.8225, Validation Accuracy: 0.7734, Loss: 0.2346
Epoch 4 Batch 310/1077 - Train Accuracy: 0.7617, Validation Accuracy: 0.7702, Loss: 0.2662
Epoch 4 Batch 311/1077 - Train Accuracy: 0.8151, Validation Accuracy: 0.7681, Loss: 0.2563
Epoch 4 Batch 312/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7713, Loss: 0.2937
Epoch 4 Batch 313/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.7724, Loss: 0.2542
Epoch 4 Batch 314/1077 - Train Accuracy: 0.7969, Validation Accuracy: 0.7777, Loss: 0.2709
Epoch 4 Batch 315/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7756, Loss: 0.2634
Epoch 4 Batch 316/1077 - Train Accuracy: 0.8218, Validation Accuracy: 0.7862, Loss: 0.2566
Epoch 4 Batch 317/1077 - Train Accuracy: 0.8072, Validation Accuracy: 0.7884, Loss: 0.2991
Epoch 4 Batch 318/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.7919, Loss: 0.2614
Epoch 4 Batch 319/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.7972, Loss: 0.2527
Epoch 4 Batch 320/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7923, Loss: 0.2864
Epoch 4 Batch 321/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7908, Loss: 0.2627
Epoch 4 Batch 322/1077 - Train Accuracy: 0.8062, Validation Accuracy: 0.7852, Loss: 0.2485
Epoch 4 Batch 323/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.8050, Loss: 0.2522
Epoch 4 Batch 324/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8086, Loss: 0.2581
Epoch 4 Batch 325/1077 - Train Accuracy: 0.7972, Validation Accuracy: 0.8072, Loss: 0.2637
Epoch 4 Batch 326/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.7947, Loss: 0.2597
Epoch 4 Batch 327/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.8015, Loss: 0.2852
Epoch 4 Batch 328/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7955, Loss: 0.2823
Epoch 4 Batch 329/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7894, Loss: 0.2886
Epoch 4 Batch 330/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7869, Loss: 0.2829
Epoch 4 Batch 331/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.7756, Loss: 0.2687
Epoch 4 Batch 332/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.7670, Loss: 0.2358
Epoch 4 Batch 333/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.7663, Loss: 0.2852
Epoch 4 Batch 334/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.7663, Loss: 0.2599
Epoch 4 Batch 335/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7592, Loss: 0.2566
Epoch 4 Batch 336/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7624, Loss: 0.3002
Epoch 4 Batch 337/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7624, Loss: 0.2570
Epoch 4 Batch 338/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7727, Loss: 0.3010
Epoch 4 Batch 339/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7720, Loss: 0.2554
Epoch 4 Batch 340/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.7681, Loss: 0.2695
Epoch 4 Batch 341/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7688, Loss: 0.2798
Epoch 4 Batch 342/1077 - Train Accuracy: 0.7872, Validation Accuracy: 0.7710, Loss: 0.2519
Epoch 4 Batch 343/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7756, Loss: 0.2560
Epoch 4 Batch 344/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7802, Loss: 0.2680
Epoch 4 Batch 345/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.7812, Loss: 0.2448
Epoch 4 Batch 346/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7795, Loss: 0.2882
Epoch 4 Batch 347/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.7745, Loss: 0.2538
Epoch 4 Batch 348/1077 - Train Accuracy: 0.8017, Validation Accuracy: 0.7795, Loss: 0.2603
Epoch 4 Batch 349/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7969, Loss: 0.2720
Epoch 4 Batch 350/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7997, Loss: 0.2722
Epoch 4 Batch 351/1077 - Train Accuracy: 0.7956, Validation Accuracy: 0.8029, Loss: 0.2697
Epoch 4 Batch 352/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7976, Loss: 0.2660
Epoch 4 Batch 353/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.8065, Loss: 0.3110
Epoch 4 Batch 354/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8100, Loss: 0.2955
Epoch 4 Batch 355/1077 - Train Accuracy: 0.7790, Validation Accuracy: 0.8065, Loss: 0.2801
Epoch 4 Batch 356/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8022, Loss: 0.2863
Epoch 4 Batch 357/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.8054, Loss: 0.2641
Epoch 4 Batch 358/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.8004, Loss: 0.2918
Epoch 4 Batch 359/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7976, Loss: 0.2667
Epoch 4 Batch 360/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7908, Loss: 0.2897
Epoch 4 Batch 361/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.7915, Loss: 0.2776
Epoch 4 Batch 362/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.7873, Loss: 0.2667
Epoch 4 Batch 363/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7852, Loss: 0.2523
Epoch 4 Batch 364/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7876, Loss: 0.2752
Epoch 4 Batch 365/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7852, Loss: 0.2529
Epoch 4 Batch 366/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7805, Loss: 0.2556
Epoch 4 Batch 367/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.7759, Loss: 0.2442
Epoch 4 Batch 368/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.7756, Loss: 0.2621
Epoch 4 Batch 369/1077 - Train Accuracy: 0.7824, Validation Accuracy: 0.7791, Loss: 0.2683
Epoch 4 Batch 370/1077 - Train Accuracy: 0.8136, Validation Accuracy: 0.7731, Loss: 0.2522
Epoch 4 Batch 371/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7820, Loss: 0.2533
Epoch 4 Batch 372/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.7894, Loss: 0.2399
Epoch 4 Batch 373/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.8018, Loss: 0.2381
Epoch 4 Batch 374/1077 - Train Accuracy: 0.7539, Validation Accuracy: 0.8114, Loss: 0.2802
Epoch 4 Batch 375/1077 - Train Accuracy: 0.7987, Validation Accuracy: 0.8118, Loss: 0.2469
Epoch 4 Batch 376/1077 - Train Accuracy: 0.8157, Validation Accuracy: 0.8086, Loss: 0.2662
Epoch 4 Batch 377/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.8111, Loss: 0.2810
Epoch 4 Batch 378/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8079, Loss: 0.2515
Epoch 4 Batch 379/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.8150, Loss: 0.2663
Epoch 4 Batch 380/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8118, Loss: 0.2486
Epoch 4 Batch 381/1077 - Train Accuracy: 0.7770, Validation Accuracy: 0.8139, Loss: 0.2937
Epoch 4 Batch 382/1077 - Train Accuracy: 0.7861, Validation Accuracy: 0.8125, Loss: 0.3134
Epoch 4 Batch 383/1077 - Train Accuracy: 0.8218, Validation Accuracy: 0.8072, Loss: 0.2492
Epoch 4 Batch 384/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8075, Loss: 0.2603
Epoch 4 Batch 385/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7987, Loss: 0.2580
Epoch 4 Batch 386/1077 - Train Accuracy: 0.8181, Validation Accuracy: 0.7983, Loss: 0.2586
Epoch 4 Batch 387/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7987, Loss: 0.2573
Epoch 4 Batch 388/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7955, Loss: 0.2515
Epoch 4 Batch 389/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7951, Loss: 0.2798
Epoch 4 Batch 390/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7979, Loss: 0.2795
Epoch 4 Batch 391/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7962, Loss: 0.2717
Epoch 4 Batch 392/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.7926, Loss: 0.2764
Epoch 4 Batch 393/1077 - Train Accuracy: 0.8136, Validation Accuracy: 0.7923, Loss: 0.2508
Epoch 4 Batch 394/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7915, Loss: 0.2607
Epoch 4 Batch 395/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7983, Loss: 0.2479
Epoch 4 Batch 396/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.7884, Loss: 0.2652
Epoch 4 Batch 397/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.7841, Loss: 0.2693
Epoch 4 Batch 398/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8015, Loss: 0.2816
Epoch 4 Batch 399/1077 - Train Accuracy: 0.7837, Validation Accuracy: 0.7976, Loss: 0.2838
Epoch 4 Batch 400/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8022, Loss: 0.2904
Epoch 4 Batch 401/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.7972, Loss: 0.2692
Epoch 4 Batch 402/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8008, Loss: 0.2539
Epoch 4 Batch 403/1077 - Train Accuracy: 0.7438, Validation Accuracy: 0.8001, Loss: 0.2912
Epoch 4 Batch 404/1077 - Train Accuracy: 0.8382, Validation Accuracy: 0.8050, Loss: 0.2526
Epoch 4 Batch 405/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7955, Loss: 0.2802
Epoch 4 Batch 406/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.7873, Loss: 0.2701
Epoch 4 Batch 407/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7919, Loss: 0.2773
Epoch 4 Batch 408/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7947, Loss: 0.2697
Epoch 4 Batch 409/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7891, Loss: 0.2886
Epoch 4 Batch 410/1077 - Train Accuracy: 0.8232, Validation Accuracy: 0.8022, Loss: 0.2726
Epoch 4 Batch 411/1077 - Train Accuracy: 0.8103, Validation Accuracy: 0.7983, Loss: 0.2623
Epoch 4 Batch 412/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8026, Loss: 0.2533
Epoch 4 Batch 413/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7983, Loss: 0.2478
Epoch 4 Batch 414/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8040, Loss: 0.2650
Epoch 4 Batch 415/1077 - Train Accuracy: 0.8058, Validation Accuracy: 0.8033, Loss: 0.2718
Epoch 4 Batch 416/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7894, Loss: 0.2679
Epoch 4 Batch 417/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7930, Loss: 0.3107
Epoch 4 Batch 418/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.7972, Loss: 0.2647
Epoch 4 Batch 419/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7979, Loss: 0.2643
Epoch 4 Batch 420/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8075, Loss: 0.2459
Epoch 4 Batch 421/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8029, Loss: 0.2814
Epoch 4 Batch 422/1077 - Train Accuracy: 0.8114, Validation Accuracy: 0.7983, Loss: 0.2405
Epoch 4 Batch 423/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8001, Loss: 0.2686
Epoch 4 Batch 424/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.8043, Loss: 0.2593
Epoch 4 Batch 425/1077 - Train Accuracy: 0.8181, Validation Accuracy: 0.7994, Loss: 0.2540
Epoch 4 Batch 426/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7923, Loss: 0.2965
Epoch 4 Batch 427/1077 - Train Accuracy: 0.7623, Validation Accuracy: 0.7940, Loss: 0.2567
Epoch 4 Batch 428/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.7898, Loss: 0.2601
Epoch 4 Batch 429/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.7876, Loss: 0.2572
Epoch 4 Batch 430/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.7912, Loss: 0.2478
Epoch 4 Batch 431/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.7951, Loss: 0.2579
Epoch 4 Batch 432/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8018, Loss: 0.2650
Epoch 4 Batch 433/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7919, Loss: 0.2771
Epoch 4 Batch 434/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.7923, Loss: 0.2493
Epoch 4 Batch 435/1077 - Train Accuracy: 0.8503, Validation Accuracy: 0.7919, Loss: 0.2723
Epoch 4 Batch 436/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.8004, Loss: 0.2526
Epoch 4 Batch 437/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.7983, Loss: 0.2551
Epoch 4 Batch 438/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7908, Loss: 0.2660
Epoch 4 Batch 439/1077 - Train Accuracy: 0.7801, Validation Accuracy: 0.7955, Loss: 0.2866
Epoch 4 Batch 440/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7923, Loss: 0.2694
Epoch 4 Batch 441/1077 - Train Accuracy: 0.7688, Validation Accuracy: 0.7880, Loss: 0.2482
Epoch 4 Batch 442/1077 - Train Accuracy: 0.8233, Validation Accuracy: 0.7823, Loss: 0.2637
Epoch 4 Batch 443/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7791, Loss: 0.2522
Epoch 4 Batch 444/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7766, Loss: 0.2543
Epoch 4 Batch 445/1077 - Train Accuracy: 0.7677, Validation Accuracy: 0.7717, Loss: 0.2934
Epoch 4 Batch 446/1077 - Train Accuracy: 0.8073, Validation Accuracy: 0.7685, Loss: 0.2316
Epoch 4 Batch 447/1077 - Train Accuracy: 0.7496, Validation Accuracy: 0.7596, Loss: 0.2799
Epoch 4 Batch 448/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7635, Loss: 0.3074
Epoch 4 Batch 449/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7674, Loss: 0.2981
Epoch 4 Batch 450/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.7820, Loss: 0.2607
Epoch 4 Batch 451/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.7798, Loss: 0.2547
Epoch 4 Batch 452/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7862, Loss: 0.2839
Epoch 4 Batch 453/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.7816, Loss: 0.2500
Epoch 4 Batch 454/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.7848, Loss: 0.2647
Epoch 4 Batch 455/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.7887, Loss: 0.2677
Epoch 4 Batch 456/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.7784, Loss: 0.2700
Epoch 4 Batch 457/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.7919, Loss: 0.2535
Epoch 4 Batch 458/1077 - Train Accuracy: 0.7785, Validation Accuracy: 0.7891, Loss: 0.2795
Epoch 4 Batch 459/1077 - Train Accuracy: 0.7976, Validation Accuracy: 0.7951, Loss: 0.2587
Epoch 4 Batch 460/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7915, Loss: 0.3026
Epoch 4 Batch 461/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7866, Loss: 0.2571
Epoch 4 Batch 462/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8040, Loss: 0.2805
Epoch 4 Batch 463/1077 - Train Accuracy: 0.7695, Validation Accuracy: 0.7951, Loss: 0.2719
Epoch 4 Batch 464/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7962, Loss: 0.2547
Epoch 4 Batch 465/1077 - Train Accuracy: 0.7940, Validation Accuracy: 0.7926, Loss: 0.3049
Epoch 4 Batch 466/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.7955, Loss: 0.2482
Epoch 4 Batch 467/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.7951, Loss: 0.2720
Epoch 4 Batch 468/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7937, Loss: 0.2669
Epoch 4 Batch 469/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7876, Loss: 0.2505
Epoch 4 Batch 470/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7859, Loss: 0.2864
Epoch 4 Batch 471/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7915, Loss: 0.2239
Epoch 4 Batch 472/1077 - Train Accuracy: 0.8140, Validation Accuracy: 0.8061, Loss: 0.2571
Epoch 4 Batch 473/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8107, Loss: 0.2607
Epoch 4 Batch 474/1077 - Train Accuracy: 0.7922, Validation Accuracy: 0.8043, Loss: 0.2797
Epoch 4 Batch 475/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7994, Loss: 0.2517
Epoch 4 Batch 476/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.8011, Loss: 0.2467
Epoch 4 Batch 477/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.7915, Loss: 0.2579
Epoch 4 Batch 478/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.7841, Loss: 0.2597
Epoch 4 Batch 479/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7862, Loss: 0.2857
Epoch 4 Batch 480/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7905, Loss: 0.2730
Epoch 4 Batch 481/1077 - Train Accuracy: 0.7676, Validation Accuracy: 0.7915, Loss: 0.2604
Epoch 4 Batch 482/1077 - Train Accuracy: 0.7817, Validation Accuracy: 0.7915, Loss: 0.2874
Epoch 4 Batch 483/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7880, Loss: 0.2689
Epoch 4 Batch 484/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7887, Loss: 0.2771
Epoch 4 Batch 485/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7827, Loss: 0.2744
Epoch 4 Batch 486/1077 - Train Accuracy: 0.8376, Validation Accuracy: 0.7834, Loss: 0.2512
Epoch 4 Batch 487/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.7887, Loss: 0.2702
Epoch 4 Batch 488/1077 - Train Accuracy: 0.7870, Validation Accuracy: 0.7930, Loss: 0.2989
Epoch 4 Batch 489/1077 - Train Accuracy: 0.8036, Validation Accuracy: 0.8008, Loss: 0.2588
Epoch 4 Batch 490/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.8036, Loss: 0.2810
Epoch 4 Batch 491/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7908, Loss: 0.2897
Epoch 4 Batch 492/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7862, Loss: 0.2808
Epoch 4 Batch 493/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7898, Loss: 0.2567
Epoch 4 Batch 494/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7901, Loss: 0.2717
Epoch 4 Batch 495/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7848, Loss: 0.2627
Epoch 4 Batch 496/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7820, Loss: 0.2657
Epoch 4 Batch 497/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7901, Loss: 0.2756
Epoch 4 Batch 498/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7905, Loss: 0.2635
Epoch 4 Batch 499/1077 - Train Accuracy: 0.7783, Validation Accuracy: 0.8079, Loss: 0.2518
Epoch 4 Batch 500/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8082, Loss: 0.2469
Epoch 4 Batch 501/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8040, Loss: 0.2679
Epoch 4 Batch 502/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8040, Loss: 0.2722
Epoch 4 Batch 503/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8065, Loss: 0.2485
Epoch 4 Batch 504/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.7884, Loss: 0.2745
Epoch 4 Batch 505/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.7784, Loss: 0.2321
Epoch 4 Batch 506/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7741, Loss: 0.2795
Epoch 4 Batch 507/1077 - Train Accuracy: 0.7859, Validation Accuracy: 0.7866, Loss: 0.2538
Epoch 4 Batch 508/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.7905, Loss: 0.2562
Epoch 4 Batch 509/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7937, Loss: 0.2829
Epoch 4 Batch 510/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7962, Loss: 0.2626
Epoch 4 Batch 511/1077 - Train Accuracy: 0.7586, Validation Accuracy: 0.7994, Loss: 0.2639
Epoch 4 Batch 512/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7891, Loss: 0.2575
Epoch 4 Batch 513/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7873, Loss: 0.2669
Epoch 4 Batch 514/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.7887, Loss: 0.2689
Epoch 4 Batch 515/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.7784, Loss: 0.2708
Epoch 4 Batch 516/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.7738, Loss: 0.2546
Epoch 4 Batch 517/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.7663, Loss: 0.2570
Epoch 4 Batch 518/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7695, Loss: 0.2390
Epoch 4 Batch 519/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7766, Loss: 0.2635
Epoch 4 Batch 520/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7859, Loss: 0.2551
Epoch 4 Batch 521/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.7862, Loss: 0.2583
Epoch 4 Batch 522/1077 - Train Accuracy: 0.7434, Validation Accuracy: 0.7898, Loss: 0.2914
Epoch 4 Batch 523/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.7930, Loss: 0.2760
Epoch 4 Batch 524/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7869, Loss: 0.2838
Epoch 4 Batch 525/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7823, Loss: 0.2793
Epoch 4 Batch 526/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7734, Loss: 0.2727
Epoch 4 Batch 527/1077 - Train Accuracy: 0.7784, Validation Accuracy: 0.7763, Loss: 0.2779
Epoch 4 Batch 528/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7770, Loss: 0.2677
Epoch 4 Batch 529/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.7766, Loss: 0.2626
Epoch 4 Batch 530/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7812, Loss: 0.2595
Epoch 4 Batch 531/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7855, Loss: 0.2389
Epoch 4 Batch 532/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.7905, Loss: 0.2795
Epoch 4 Batch 533/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7724, Loss: 0.2828
Epoch 4 Batch 534/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.7724, Loss: 0.2792
Epoch 4 Batch 535/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.7873, Loss: 0.2568
Epoch 4 Batch 536/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.7884, Loss: 0.2775
Epoch 4 Batch 537/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.7887, Loss: 0.2796
Epoch 4 Batch 538/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.7905, Loss: 0.2345
Epoch 4 Batch 539/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8033, Loss: 0.2841
Epoch 4 Batch 540/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8040, Loss: 0.2341
Epoch 4 Batch 541/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.8207, Loss: 0.2686
Epoch 4 Batch 542/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8242, Loss: 0.2635
Epoch 4 Batch 543/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8214, Loss: 0.2641
Epoch 4 Batch 544/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8214, Loss: 0.2482
Epoch 4 Batch 545/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8129, Loss: 0.2790
Epoch 4 Batch 546/1077 - Train Accuracy: 0.7723, Validation Accuracy: 0.8043, Loss: 0.3028
Epoch 4 Batch 547/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8047, Loss: 0.2504
Epoch 4 Batch 548/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7962, Loss: 0.2658
Epoch 4 Batch 549/1077 - Train Accuracy: 0.7523, Validation Accuracy: 0.7962, Loss: 0.3209
Epoch 4 Batch 550/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.8015, Loss: 0.2790
Epoch 4 Batch 551/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.8054, Loss: 0.2706
Epoch 4 Batch 552/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.8047, Loss: 0.2738
Epoch 4 Batch 553/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.8065, Loss: 0.2910
Epoch 4 Batch 554/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7987, Loss: 0.2647
Epoch 4 Batch 555/1077 - Train Accuracy: 0.7867, Validation Accuracy: 0.8011, Loss: 0.2628
Epoch 4 Batch 556/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7912, Loss: 0.2506
Epoch 4 Batch 557/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.7937, Loss: 0.2624
Epoch 4 Batch 558/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.7947, Loss: 0.2471
Epoch 4 Batch 559/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7930, Loss: 0.2606
Epoch 4 Batch 560/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7876, Loss: 0.2721
Epoch 4 Batch 561/1077 - Train Accuracy: 0.8237, Validation Accuracy: 0.7937, Loss: 0.2552
Epoch 4 Batch 562/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.7887, Loss: 0.2407
Epoch 4 Batch 563/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7905, Loss: 0.3000
Epoch 4 Batch 564/1077 - Train Accuracy: 0.8232, Validation Accuracy: 0.7823, Loss: 0.2881
Epoch 4 Batch 565/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.7816, Loss: 0.2869
Epoch 4 Batch 566/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7713, Loss: 0.2656
Epoch 4 Batch 567/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7702, Loss: 0.2686
Epoch 4 Batch 568/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.7773, Loss: 0.2532
Epoch 4 Batch 569/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.7820, Loss: 0.2806
Epoch 4 Batch 570/1077 - Train Accuracy: 0.7775, Validation Accuracy: 0.7930, Loss: 0.2860
Epoch 4 Batch 571/1077 - Train Accuracy: 0.8118, Validation Accuracy: 0.7912, Loss: 0.2449
Epoch 4 Batch 572/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.7898, Loss: 0.2423
Epoch 4 Batch 573/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7859, Loss: 0.2829
Epoch 4 Batch 574/1077 - Train Accuracy: 0.7907, Validation Accuracy: 0.7915, Loss: 0.2747
Epoch 4 Batch 575/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7923, Loss: 0.2568
Epoch 4 Batch 576/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.7951, Loss: 0.2713
Epoch 4 Batch 577/1077 - Train Accuracy: 0.8257, Validation Accuracy: 0.7926, Loss: 0.2774
Epoch 4 Batch 578/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.7841, Loss: 0.2611
Epoch 4 Batch 579/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7880, Loss: 0.2694
Epoch 4 Batch 580/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.7898, Loss: 0.2335
Epoch 4 Batch 581/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7979, Loss: 0.2285
Epoch 4 Batch 582/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.7965, Loss: 0.2637
Epoch 4 Batch 583/1077 - Train Accuracy: 0.7998, Validation Accuracy: 0.8018, Loss: 0.2615
Epoch 4 Batch 584/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8029, Loss: 0.2561
Epoch 4 Batch 585/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8132, Loss: 0.2160
Epoch 4 Batch 586/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8121, Loss: 0.2659
Epoch 4 Batch 587/1077 - Train Accuracy: 0.8333, Validation Accuracy: 0.8089, Loss: 0.2574
Epoch 4 Batch 588/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8093, Loss: 0.2497
Epoch 4 Batch 589/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.7997, Loss: 0.2807
Epoch 4 Batch 590/1077 - Train Accuracy: 0.7784, Validation Accuracy: 0.8022, Loss: 0.2800
Epoch 4 Batch 591/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8114, Loss: 0.2547
Epoch 4 Batch 592/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8097, Loss: 0.2639
Epoch 4 Batch 593/1077 - Train Accuracy: 0.7976, Validation Accuracy: 0.8097, Loss: 0.2689
Epoch 4 Batch 594/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8086, Loss: 0.2777
Epoch 4 Batch 595/1077 - Train Accuracy: 0.7750, Validation Accuracy: 0.7994, Loss: 0.2663
Epoch 4 Batch 596/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.7951, Loss: 0.2640
Epoch 4 Batch 597/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7869, Loss: 0.2704
Epoch 4 Batch 598/1077 - Train Accuracy: 0.8233, Validation Accuracy: 0.7894, Loss: 0.2595
Epoch 4 Batch 599/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7901, Loss: 0.3071
Epoch 4 Batch 600/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7944, Loss: 0.2712
Epoch 4 Batch 601/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8026, Loss: 0.2610
Epoch 4 Batch 602/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8008, Loss: 0.2535
Epoch 4 Batch 603/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.8054, Loss: 0.2706
Epoch 4 Batch 604/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7951, Loss: 0.2719
Epoch 4 Batch 605/1077 - Train Accuracy: 0.8446, Validation Accuracy: 0.7965, Loss: 0.2850
Epoch 4 Batch 606/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7855, Loss: 0.2277
Epoch 4 Batch 607/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.7823, Loss: 0.2466
Epoch 4 Batch 608/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7862, Loss: 0.2736
Epoch 4 Batch 609/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7852, Loss: 0.2847
Epoch 4 Batch 610/1077 - Train Accuracy: 0.7874, Validation Accuracy: 0.7873, Loss: 0.2893
Epoch 4 Batch 611/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7923, Loss: 0.2662
Epoch 4 Batch 612/1077 - Train Accuracy: 0.8497, Validation Accuracy: 0.7855, Loss: 0.2542
Epoch 4 Batch 613/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7905, Loss: 0.2840
Epoch 4 Batch 614/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7852, Loss: 0.2574
Epoch 4 Batch 615/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7812, Loss: 0.2520
Epoch 4 Batch 616/1077 - Train Accuracy: 0.7874, Validation Accuracy: 0.7905, Loss: 0.2834
Epoch 4 Batch 617/1077 - Train Accuracy: 0.8028, Validation Accuracy: 0.7766, Loss: 0.2607
Epoch 4 Batch 618/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7667, Loss: 0.2611
Epoch 4 Batch 619/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7656, Loss: 0.2646
Epoch 4 Batch 620/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7656, Loss: 0.2660
Epoch 4 Batch 621/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.7692, Loss: 0.2737
Epoch 4 Batch 622/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.7777, Loss: 0.2636
Epoch 4 Batch 623/1077 - Train Accuracy: 0.7914, Validation Accuracy: 0.7841, Loss: 0.2731
Epoch 4 Batch 624/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8040, Loss: 0.2463
Epoch 4 Batch 625/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7979, Loss: 0.2695
Epoch 4 Batch 626/1077 - Train Accuracy: 0.8178, Validation Accuracy: 0.8054, Loss: 0.2487
Epoch 4 Batch 627/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8129, Loss: 0.2618
Epoch 4 Batch 628/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.8097, Loss: 0.2795
Epoch 4 Batch 629/1077 - Train Accuracy: 0.8014, Validation Accuracy: 0.7905, Loss: 0.2837
Epoch 4 Batch 630/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7876, Loss: 0.2795
Epoch 4 Batch 631/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.7905, Loss: 0.2718
Epoch 4 Batch 632/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7901, Loss: 0.2413
Epoch 4 Batch 633/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8047, Loss: 0.2685
Epoch 4 Batch 634/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8082, Loss: 0.2328
Epoch 4 Batch 635/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.8065, Loss: 0.3006
Epoch 4 Batch 636/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8082, Loss: 0.2534
Epoch 4 Batch 637/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8093, Loss: 0.2728
Epoch 4 Batch 638/1077 - Train Accuracy: 0.7786, Validation Accuracy: 0.8114, Loss: 0.2807
Epoch 4 Batch 639/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8054, Loss: 0.2588
Epoch 4 Batch 640/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8001, Loss: 0.2445
Epoch 4 Batch 641/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.8029, Loss: 0.2579
Epoch 4 Batch 642/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8040, Loss: 0.2735
Epoch 4 Batch 643/1077 - Train Accuracy: 0.8382, Validation Accuracy: 0.8093, Loss: 0.2532
Epoch 4 Batch 644/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8089, Loss: 0.2787
Epoch 4 Batch 645/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8097, Loss: 0.2609
Epoch 4 Batch 646/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8139, Loss: 0.2629
Epoch 4 Batch 647/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8097, Loss: 0.2611
Epoch 4 Batch 648/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.7979, Loss: 0.2400
Epoch 4 Batch 649/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7990, Loss: 0.2666
Epoch 4 Batch 650/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7848, Loss: 0.2577
Epoch 4 Batch 651/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7830, Loss: 0.2402
Epoch 4 Batch 652/1077 - Train Accuracy: 0.7911, Validation Accuracy: 0.7759, Loss: 0.2903
Epoch 4 Batch 653/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7720, Loss: 0.2739
Epoch 4 Batch 654/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.7802, Loss: 0.2415
Epoch 4 Batch 655/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.7734, Loss: 0.2731
Epoch 4 Batch 656/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7681, Loss: 0.2576
Epoch 4 Batch 657/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.7773, Loss: 0.2921
Epoch 4 Batch 658/1077 - Train Accuracy: 0.7894, Validation Accuracy: 0.7741, Loss: 0.2698
Epoch 4 Batch 659/1077 - Train Accuracy: 0.8237, Validation Accuracy: 0.7670, Loss: 0.2685
Epoch 4 Batch 660/1077 - Train Accuracy: 0.7984, Validation Accuracy: 0.7749, Loss: 0.2716
Epoch 4 Batch 661/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.7802, Loss: 0.2423
Epoch 4 Batch 662/1077 - Train Accuracy: 0.8322, Validation Accuracy: 0.7947, Loss: 0.2463
Epoch 4 Batch 663/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7926, Loss: 0.2431
Epoch 4 Batch 664/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.7944, Loss: 0.2494
Epoch 4 Batch 665/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.7962, Loss: 0.2481
Epoch 4 Batch 666/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8026, Loss: 0.2856
Epoch 4 Batch 667/1077 - Train Accuracy: 0.7771, Validation Accuracy: 0.8040, Loss: 0.2912
Epoch 4 Batch 668/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8036, Loss: 0.2688
Epoch 4 Batch 669/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8121, Loss: 0.2446
Epoch 4 Batch 670/1077 - Train Accuracy: 0.8058, Validation Accuracy: 0.8107, Loss: 0.2464
Epoch 4 Batch 671/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8050, Loss: 0.2724
Epoch 4 Batch 672/1077 - Train Accuracy: 0.8151, Validation Accuracy: 0.8132, Loss: 0.2424
Epoch 4 Batch 673/1077 - Train Accuracy: 0.8062, Validation Accuracy: 0.7997, Loss: 0.2396
Epoch 4 Batch 674/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8026, Loss: 0.2665
Epoch 4 Batch 675/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.8047, Loss: 0.2749
Epoch 4 Batch 676/1077 - Train Accuracy: 0.8269, Validation Accuracy: 0.8093, Loss: 0.2754
Epoch 4 Batch 677/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.8129, Loss: 0.2674
Epoch 4 Batch 678/1077 - Train Accuracy: 0.8222, Validation Accuracy: 0.8086, Loss: 0.2364
Epoch 4 Batch 679/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8125, Loss: 0.2674
Epoch 4 Batch 680/1077 - Train Accuracy: 0.8218, Validation Accuracy: 0.8143, Loss: 0.2347
Epoch 4 Batch 681/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8086, Loss: 0.2731
Epoch 4 Batch 682/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8026, Loss: 0.2668
Epoch 4 Batch 683/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.7979, Loss: 0.2543
Epoch 4 Batch 684/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8050, Loss: 0.2562
Epoch 4 Batch 685/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8068, Loss: 0.2895
Epoch 4 Batch 686/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8054, Loss: 0.2491
Epoch 4 Batch 687/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.7955, Loss: 0.2816
Epoch 4 Batch 688/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7873, Loss: 0.2408
Epoch 4 Batch 689/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7859, Loss: 0.2475
Epoch 4 Batch 690/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.7805, Loss: 0.2372
Epoch 4 Batch 691/1077 - Train Accuracy: 0.7956, Validation Accuracy: 0.7830, Loss: 0.2815
Epoch 4 Batch 692/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7809, Loss: 0.2464
Epoch 4 Batch 693/1077 - Train Accuracy: 0.7710, Validation Accuracy: 0.7816, Loss: 0.3120
Epoch 4 Batch 694/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.7798, Loss: 0.2558
Epoch 4 Batch 695/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7912, Loss: 0.2363
Epoch 4 Batch 696/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7884, Loss: 0.2744
Epoch 4 Batch 697/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7930, Loss: 0.2542
Epoch 4 Batch 698/1077 - Train Accuracy: 0.7995, Validation Accuracy: 0.7908, Loss: 0.2534
Epoch 4 Batch 699/1077 - Train Accuracy: 0.7829, Validation Accuracy: 0.8004, Loss: 0.2567
Epoch 4 Batch 700/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8125, Loss: 0.2349
Epoch 4 Batch 701/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8086, Loss: 0.2757
Epoch 4 Batch 702/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7979, Loss: 0.3013
Epoch 4 Batch 703/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8093, Loss: 0.2647
Epoch 4 Batch 704/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8104, Loss: 0.2937
Epoch 4 Batch 705/1077 - Train Accuracy: 0.8413, Validation Accuracy: 0.8026, Loss: 0.2694
Epoch 4 Batch 706/1077 - Train Accuracy: 0.7772, Validation Accuracy: 0.8061, Loss: 0.2968
Epoch 4 Batch 707/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.8104, Loss: 0.2575
Epoch 4 Batch 708/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8118, Loss: 0.2629
Epoch 4 Batch 709/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8168, Loss: 0.2880
Epoch 4 Batch 710/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.8114, Loss: 0.2618
Epoch 4 Batch 711/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8185, Loss: 0.2924
Epoch 4 Batch 712/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8061, Loss: 0.2577
Epoch 4 Batch 713/1077 - Train Accuracy: 0.8192, Validation Accuracy: 0.8143, Loss: 0.2437
Epoch 4 Batch 714/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8082, Loss: 0.2514
Epoch 4 Batch 715/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.7990, Loss: 0.2913
Epoch 4 Batch 716/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.7891, Loss: 0.2473
Epoch 4 Batch 717/1077 - Train Accuracy: 0.8532, Validation Accuracy: 0.7915, Loss: 0.2338
Epoch 4 Batch 718/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.7923, Loss: 0.2479
Epoch 4 Batch 719/1077 - Train Accuracy: 0.7935, Validation Accuracy: 0.7979, Loss: 0.2538
Epoch 4 Batch 720/1077 - Train Accuracy: 0.7989, Validation Accuracy: 0.7876, Loss: 0.2705
Epoch 4 Batch 721/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7912, Loss: 0.2657
Epoch 4 Batch 722/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8001, Loss: 0.2345
Epoch 4 Batch 723/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8061, Loss: 0.2559
Epoch 4 Batch 724/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8050, Loss: 0.2908
Epoch 4 Batch 725/1077 - Train Accuracy: 0.8627, Validation Accuracy: 0.7958, Loss: 0.2180
Epoch 4 Batch 726/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8008, Loss: 0.2470
Epoch 4 Batch 727/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8111, Loss: 0.2645
Epoch 4 Batch 728/1077 - Train Accuracy: 0.7920, Validation Accuracy: 0.8093, Loss: 0.2577
Epoch 4 Batch 729/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.8150, Loss: 0.2988
Epoch 4 Batch 730/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8125, Loss: 0.2775
Epoch 4 Batch 731/1077 - Train Accuracy: 0.7924, Validation Accuracy: 0.8018, Loss: 0.2532
Epoch 4 Batch 732/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.7873, Loss: 0.2808
Epoch 4 Batch 733/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7919, Loss: 0.2709
Epoch 4 Batch 734/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.7894, Loss: 0.2624
Epoch 4 Batch 735/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7884, Loss: 0.2586
Epoch 4 Batch 736/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.7887, Loss: 0.2459
Epoch 4 Batch 737/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.7887, Loss: 0.2911
Epoch 4 Batch 738/1077 - Train Accuracy: 0.8118, Validation Accuracy: 0.7937, Loss: 0.2133
Epoch 4 Batch 739/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.7830, Loss: 0.2379
Epoch 4 Batch 740/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.7830, Loss: 0.2543
Epoch 4 Batch 741/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.7859, Loss: 0.2686
Epoch 4 Batch 742/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7820, Loss: 0.2554
Epoch 4 Batch 743/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7876, Loss: 0.2608
Epoch 4 Batch 744/1077 - Train Accuracy: 0.8534, Validation Accuracy: 0.8015, Loss: 0.2470
Epoch 4 Batch 745/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8093, Loss: 0.2772
Epoch 4 Batch 746/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8114, Loss: 0.2521
Epoch 4 Batch 747/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8082, Loss: 0.2449
Epoch 4 Batch 748/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7962, Loss: 0.2653
Epoch 4 Batch 749/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.8022, Loss: 0.2771
Epoch 4 Batch 750/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8004, Loss: 0.2553
Epoch 4 Batch 751/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8001, Loss: 0.2546
Epoch 4 Batch 752/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.7947, Loss: 0.2361
Epoch 4 Batch 753/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.7841, Loss: 0.2425
Epoch 4 Batch 754/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7834, Loss: 0.2561
Epoch 4 Batch 755/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7884, Loss: 0.2628
Epoch 4 Batch 756/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7898, Loss: 0.2521
Epoch 4 Batch 757/1077 - Train Accuracy: 0.8014, Validation Accuracy: 0.7908, Loss: 0.2678
Epoch 4 Batch 758/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.7795, Loss: 0.2398
Epoch 4 Batch 759/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.7887, Loss: 0.2416
Epoch 4 Batch 760/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8026, Loss: 0.2806
Epoch 4 Batch 761/1077 - Train Accuracy: 0.7903, Validation Accuracy: 0.7969, Loss: 0.2626
Epoch 4 Batch 762/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8054, Loss: 0.2528
Epoch 4 Batch 763/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.8082, Loss: 0.2379
Epoch 4 Batch 764/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8054, Loss: 0.2797
Epoch 4 Batch 765/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7979, Loss: 0.2512
Epoch 4 Batch 766/1077 - Train Accuracy: 0.7852, Validation Accuracy: 0.7926, Loss: 0.2626
Epoch 4 Batch 767/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.7947, Loss: 0.2433
Epoch 4 Batch 768/1077 - Train Accuracy: 0.7879, Validation Accuracy: 0.7937, Loss: 0.2631
Epoch 4 Batch 769/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.7862, Loss: 0.2644
Epoch 4 Batch 770/1077 - Train Accuracy: 0.8229, Validation Accuracy: 0.7834, Loss: 0.2685
Epoch 4 Batch 771/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7805, Loss: 0.2969
Epoch 4 Batch 772/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7788, Loss: 0.2537
Epoch 4 Batch 773/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7702, Loss: 0.2601
Epoch 4 Batch 774/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7773, Loss: 0.2680
Epoch 4 Batch 775/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.7805, Loss: 0.2539
Epoch 4 Batch 776/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.7834, Loss: 0.2520
Epoch 4 Batch 777/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.7820, Loss: 0.2673
Epoch 4 Batch 778/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7766, Loss: 0.2256
Epoch 4 Batch 779/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7756, Loss: 0.2644
Epoch 4 Batch 780/1077 - Train Accuracy: 0.7906, Validation Accuracy: 0.7752, Loss: 0.2930
Epoch 4 Batch 781/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.7791, Loss: 0.2100
Epoch 4 Batch 782/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7791, Loss: 0.2448
Epoch 4 Batch 783/1077 - Train Accuracy: 0.7950, Validation Accuracy: 0.7887, Loss: 0.2825
Epoch 4 Batch 784/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8004, Loss: 0.2503
Epoch 4 Batch 785/1077 - Train Accuracy: 0.8397, Validation Accuracy: 0.7972, Loss: 0.2546
Epoch 4 Batch 786/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7997, Loss: 0.2497
Epoch 4 Batch 787/1077 - Train Accuracy: 0.8140, Validation Accuracy: 0.8100, Loss: 0.2394
Epoch 4 Batch 788/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8182, Loss: 0.2289
Epoch 4 Batch 789/1077 - Train Accuracy: 0.7940, Validation Accuracy: 0.8089, Loss: 0.2672
Epoch 4 Batch 790/1077 - Train Accuracy: 0.7711, Validation Accuracy: 0.8082, Loss: 0.2798
Epoch 4 Batch 791/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.8004, Loss: 0.2649
Epoch 4 Batch 792/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8029, Loss: 0.2652
Epoch 4 Batch 793/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.7947, Loss: 0.2500
Epoch 4 Batch 794/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7951, Loss: 0.2684
Epoch 4 Batch 795/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7901, Loss: 0.2774
Epoch 4 Batch 796/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.7901, Loss: 0.2506
Epoch 4 Batch 797/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7837, Loss: 0.2518
Epoch 4 Batch 798/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7834, Loss: 0.2574
Epoch 4 Batch 799/1077 - Train Accuracy: 0.7750, Validation Accuracy: 0.7898, Loss: 0.2881
Epoch 4 Batch 800/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7965, Loss: 0.2579
Epoch 4 Batch 801/1077 - Train Accuracy: 0.7707, Validation Accuracy: 0.7937, Loss: 0.2660
Epoch 4 Batch 802/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.7923, Loss: 0.2680
Epoch 4 Batch 803/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7905, Loss: 0.2733
Epoch 4 Batch 804/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7951, Loss: 0.2491
Epoch 4 Batch 805/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7944, Loss: 0.2652
Epoch 4 Batch 806/1077 - Train Accuracy: 0.8026, Validation Accuracy: 0.7940, Loss: 0.2608
Epoch 4 Batch 807/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7969, Loss: 0.2263
Epoch 4 Batch 808/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7972, Loss: 0.2710
Epoch 4 Batch 809/1077 - Train Accuracy: 0.7850, Validation Accuracy: 0.7969, Loss: 0.2808
Epoch 4 Batch 810/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.7979, Loss: 0.2412
Epoch 4 Batch 811/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.7944, Loss: 0.2472
Epoch 4 Batch 812/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8011, Loss: 0.2500
Epoch 4 Batch 813/1077 - Train Accuracy: 0.8021, Validation Accuracy: 0.8008, Loss: 0.2538
Epoch 4 Batch 814/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7866, Loss: 0.2698
Epoch 4 Batch 815/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7816, Loss: 0.2537
Epoch 4 Batch 816/1077 - Train Accuracy: 0.8466, Validation Accuracy: 0.7773, Loss: 0.2760
Epoch 4 Batch 817/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.7866, Loss: 0.2966
Epoch 4 Batch 818/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.7869, Loss: 0.2594
Epoch 4 Batch 819/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7919, Loss: 0.2561
Epoch 4 Batch 820/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7795, Loss: 0.2498
Epoch 4 Batch 821/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7791, Loss: 0.2653
Epoch 4 Batch 822/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7805, Loss: 0.2594
Epoch 4 Batch 823/1077 - Train Accuracy: 0.7922, Validation Accuracy: 0.7759, Loss: 0.2597
Epoch 4 Batch 824/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.7777, Loss: 0.2448
Epoch 4 Batch 825/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7745, Loss: 0.2520
Epoch 4 Batch 826/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7784, Loss: 0.2403
Epoch 4 Batch 827/1077 - Train Accuracy: 0.7985, Validation Accuracy: 0.7848, Loss: 0.2804
Epoch 4 Batch 828/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7859, Loss: 0.2779
Epoch 4 Batch 829/1077 - Train Accuracy: 0.7777, Validation Accuracy: 0.7855, Loss: 0.2942
Epoch 4 Batch 830/1077 - Train Accuracy: 0.7812, Validation Accuracy: 0.7972, Loss: 0.2366
Epoch 4 Batch 831/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.8011, Loss: 0.2607
Epoch 4 Batch 832/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7962, Loss: 0.2590
Epoch 4 Batch 833/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7962, Loss: 0.2703
Epoch 4 Batch 834/1077 - Train Accuracy: 0.8022, Validation Accuracy: 0.8011, Loss: 0.2568
Epoch 4 Batch 835/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7923, Loss: 0.2570
Epoch 4 Batch 836/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.7887, Loss: 0.2583
Epoch 4 Batch 837/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7944, Loss: 0.2638
Epoch 4 Batch 838/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.7926, Loss: 0.2451
Epoch 4 Batch 839/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7965, Loss: 0.2459
Epoch 4 Batch 840/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.7997, Loss: 0.2587
Epoch 4 Batch 841/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7958, Loss: 0.2681
Epoch 4 Batch 842/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8029, Loss: 0.2405
Epoch 4 Batch 843/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8022, Loss: 0.2587
Epoch 4 Batch 844/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.8104, Loss: 0.2354
Epoch 4 Batch 845/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8018, Loss: 0.2552
Epoch 4 Batch 846/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7958, Loss: 0.2990
Epoch 4 Batch 847/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8004, Loss: 0.2815
Epoch 4 Batch 848/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.7965, Loss: 0.2485
Epoch 4 Batch 849/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7915, Loss: 0.2355
Epoch 4 Batch 850/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.7972, Loss: 0.2830
Epoch 4 Batch 851/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.7972, Loss: 0.2514
Epoch 4 Batch 852/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.7915, Loss: 0.2548
Epoch 4 Batch 853/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.7912, Loss: 0.2415
Epoch 4 Batch 854/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7788, Loss: 0.2629
Epoch 4 Batch 855/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7791, Loss: 0.2591
Epoch 4 Batch 856/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7766, Loss: 0.2631
Epoch 4 Batch 857/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.7837, Loss: 0.2541
Epoch 4 Batch 858/1077 - Train Accuracy: 0.7999, Validation Accuracy: 0.7855, Loss: 0.2571
Epoch 4 Batch 859/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.7947, Loss: 0.2710
Epoch 4 Batch 860/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7912, Loss: 0.2534
Epoch 4 Batch 861/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7884, Loss: 0.2383
Epoch 4 Batch 862/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.7848, Loss: 0.2428
Epoch 4 Batch 863/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7823, Loss: 0.2441
Epoch 4 Batch 864/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.7894, Loss: 0.2472
Epoch 4 Batch 865/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.7859, Loss: 0.2411
Epoch 4 Batch 866/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.7823, Loss: 0.2589
Epoch 4 Batch 867/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7770, Loss: 0.3159
Epoch 4 Batch 868/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.7770, Loss: 0.2671
Epoch 4 Batch 869/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7749, Loss: 0.2528
Epoch 4 Batch 870/1077 - Train Accuracy: 0.7529, Validation Accuracy: 0.7820, Loss: 0.2583
Epoch 4 Batch 871/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.7834, Loss: 0.2526
Epoch 4 Batch 872/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.7901, Loss: 0.2288
Epoch 4 Batch 873/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7855, Loss: 0.2657
Epoch 4 Batch 874/1077 - Train Accuracy: 0.7781, Validation Accuracy: 0.7912, Loss: 0.2846
Epoch 4 Batch 875/1077 - Train Accuracy: 0.7699, Validation Accuracy: 0.7979, Loss: 0.2736
Epoch 4 Batch 876/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.7933, Loss: 0.2579
Epoch 4 Batch 877/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7958, Loss: 0.2690
Epoch 4 Batch 878/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8011, Loss: 0.2548
Epoch 4 Batch 879/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8022, Loss: 0.2448
Epoch 4 Batch 880/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7990, Loss: 0.2530
Epoch 4 Batch 881/1077 - Train Accuracy: 0.7836, Validation Accuracy: 0.7876, Loss: 0.2695
Epoch 4 Batch 882/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7876, Loss: 0.2987
Epoch 4 Batch 883/1077 - Train Accuracy: 0.7734, Validation Accuracy: 0.7866, Loss: 0.2880
Epoch 4 Batch 884/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7884, Loss: 0.2426
Epoch 4 Batch 885/1077 - Train Accuracy: 0.8299, Validation Accuracy: 0.7901, Loss: 0.2177
Epoch 4 Batch 886/1077 - Train Accuracy: 0.7766, Validation Accuracy: 0.7912, Loss: 0.2619
Epoch 4 Batch 887/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.7898, Loss: 0.2812
Epoch 4 Batch 888/1077 - Train Accuracy: 0.8147, Validation Accuracy: 0.7894, Loss: 0.2479
Epoch 4 Batch 889/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.7947, Loss: 0.2633
Epoch 4 Batch 890/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.7951, Loss: 0.2435
Epoch 4 Batch 891/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.7990, Loss: 0.2497
Epoch 4 Batch 892/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.7987, Loss: 0.2601
Epoch 4 Batch 893/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.7994, Loss: 0.2656
Epoch 4 Batch 894/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7955, Loss: 0.2310
Epoch 4 Batch 895/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7979, Loss: 0.2655
Epoch 4 Batch 896/1077 - Train Accuracy: 0.7878, Validation Accuracy: 0.7926, Loss: 0.2721
Epoch 4 Batch 897/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.7923, Loss: 0.2087
Epoch 4 Batch 898/1077 - Train Accuracy: 0.8385, Validation Accuracy: 0.7919, Loss: 0.2362
Epoch 4 Batch 899/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.7997, Loss: 0.2774
Epoch 4 Batch 900/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.7969, Loss: 0.2932
Epoch 4 Batch 901/1077 - Train Accuracy: 0.8296, Validation Accuracy: 0.7912, Loss: 0.2760
Epoch 4 Batch 902/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.7876, Loss: 0.2767
Epoch 4 Batch 903/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.7898, Loss: 0.2540
Epoch 4 Batch 904/1077 - Train Accuracy: 0.7812, Validation Accuracy: 0.7908, Loss: 0.2648
Epoch 4 Batch 905/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.7990, Loss: 0.2403
Epoch 4 Batch 906/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8018, Loss: 0.2684
Epoch 4 Batch 907/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8026, Loss: 0.2398
Epoch 4 Batch 908/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7987, Loss: 0.2766
Epoch 4 Batch 909/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.8033, Loss: 0.2564
Epoch 4 Batch 910/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7987, Loss: 0.2558
Epoch 4 Batch 911/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8004, Loss: 0.2440
Epoch 4 Batch 912/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.8018, Loss: 0.2661
Epoch 4 Batch 913/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8033, Loss: 0.3072
Epoch 4 Batch 914/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.7869, Loss: 0.2633
Epoch 4 Batch 915/1077 - Train Accuracy: 0.7767, Validation Accuracy: 0.7987, Loss: 0.2708
Epoch 4 Batch 916/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.7937, Loss: 0.2819
Epoch 4 Batch 917/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7965, Loss: 0.2423
Epoch 4 Batch 918/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.7994, Loss: 0.2441
Epoch 4 Batch 919/1077 - Train Accuracy: 0.8507, Validation Accuracy: 0.8001, Loss: 0.2369
Epoch 4 Batch 920/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7955, Loss: 0.2492
Epoch 4 Batch 921/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.7965, Loss: 0.2750
Epoch 4 Batch 922/1077 - Train Accuracy: 0.7943, Validation Accuracy: 0.7976, Loss: 0.2491
Epoch 4 Batch 923/1077 - Train Accuracy: 0.8417, Validation Accuracy: 0.7962, Loss: 0.2627
Epoch 4 Batch 924/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7976, Loss: 0.3127
Epoch 4 Batch 925/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7994, Loss: 0.2365
Epoch 4 Batch 926/1077 - Train Accuracy: 0.7973, Validation Accuracy: 0.7972, Loss: 0.2422
Epoch 4 Batch 927/1077 - Train Accuracy: 0.7793, Validation Accuracy: 0.7873, Loss: 0.2689
Epoch 4 Batch 928/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7745, Loss: 0.2708
Epoch 4 Batch 929/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7788, Loss: 0.2771
Epoch 4 Batch 930/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7834, Loss: 0.2394
Epoch 4 Batch 931/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.7859, Loss: 0.2465
Epoch 4 Batch 932/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7884, Loss: 0.2645
Epoch 4 Batch 933/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.7834, Loss: 0.2643
Epoch 4 Batch 934/1077 - Train Accuracy: 0.7961, Validation Accuracy: 0.7830, Loss: 0.2490
Epoch 4 Batch 935/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7653, Loss: 0.2618
Epoch 4 Batch 936/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.7610, Loss: 0.2366
Epoch 4 Batch 937/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.7564, Loss: 0.2848
Epoch 4 Batch 938/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.7685, Loss: 0.2856
Epoch 4 Batch 939/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7731, Loss: 0.2724
Epoch 4 Batch 940/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.7841, Loss: 0.2433
Epoch 4 Batch 941/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.7901, Loss: 0.2455
Epoch 4 Batch 942/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.7898, Loss: 0.2422
Epoch 4 Batch 943/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.7862, Loss: 0.2616
Epoch 4 Batch 944/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.7926, Loss: 0.2294
Epoch 4 Batch 945/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.7915, Loss: 0.2420
Epoch 4 Batch 946/1077 - Train Accuracy: 0.8433, Validation Accuracy: 0.7820, Loss: 0.2555
Epoch 4 Batch 947/1077 - Train Accuracy: 0.7919, Validation Accuracy: 0.7923, Loss: 0.2641
Epoch 4 Batch 948/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7933, Loss: 0.2412
Epoch 4 Batch 949/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.7852, Loss: 0.2218
Epoch 4 Batch 950/1077 - Train Accuracy: 0.8103, Validation Accuracy: 0.7805, Loss: 0.2527
Epoch 4 Batch 951/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.7862, Loss: 0.2481
Epoch 4 Batch 952/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7915, Loss: 0.2399
Epoch 4 Batch 953/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.7905, Loss: 0.2549
Epoch 4 Batch 954/1077 - Train Accuracy: 0.7875, Validation Accuracy: 0.7855, Loss: 0.2711
Epoch 4 Batch 955/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7841, Loss: 0.2800
Epoch 4 Batch 956/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.7756, Loss: 0.2879
Epoch 4 Batch 957/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.7717, Loss: 0.2289
Epoch 4 Batch 958/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7763, Loss: 0.2500
Epoch 4 Batch 959/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7759, Loss: 0.2436
Epoch 4 Batch 960/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7745, Loss: 0.2473
Epoch 4 Batch 961/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.7724, Loss: 0.2488
Epoch 4 Batch 962/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.7702, Loss: 0.2527
Epoch 4 Batch 963/1077 - Train Accuracy: 0.7912, Validation Accuracy: 0.7699, Loss: 0.3139
Epoch 4 Batch 964/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7717, Loss: 0.2471
Epoch 4 Batch 965/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7827, Loss: 0.2707
Epoch 4 Batch 966/1077 - Train Accuracy: 0.8169, Validation Accuracy: 0.7816, Loss: 0.2303
Epoch 4 Batch 967/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7773, Loss: 0.2449
Epoch 4 Batch 968/1077 - Train Accuracy: 0.7336, Validation Accuracy: 0.7915, Loss: 0.2813
Epoch 4 Batch 969/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.7866, Loss: 0.2734
Epoch 4 Batch 970/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7969, Loss: 0.2782
Epoch 4 Batch 971/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8011, Loss: 0.2525
Epoch 4 Batch 972/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8004, Loss: 0.2318
Epoch 4 Batch 973/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.7919, Loss: 0.2475
Epoch 4 Batch 974/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.7844, Loss: 0.2349
Epoch 4 Batch 975/1077 - Train Accuracy: 0.8155, Validation Accuracy: 0.7777, Loss: 0.2481
Epoch 4 Batch 976/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7770, Loss: 0.2352
Epoch 4 Batch 977/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7788, Loss: 0.2395
Epoch 4 Batch 978/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.7876, Loss: 0.2734
Epoch 4 Batch 979/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.7852, Loss: 0.2585
Epoch 4 Batch 980/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7841, Loss: 0.2370
Epoch 4 Batch 981/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.7848, Loss: 0.2491
Epoch 4 Batch 982/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7923, Loss: 0.2444
Epoch 4 Batch 983/1077 - Train Accuracy: 0.7738, Validation Accuracy: 0.7866, Loss: 0.2806
Epoch 4 Batch 984/1077 - Train Accuracy: 0.7754, Validation Accuracy: 0.7912, Loss: 0.2770
Epoch 4 Batch 985/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.7898, Loss: 0.2546
Epoch 4 Batch 986/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7798, Loss: 0.2559
Epoch 4 Batch 987/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7738, Loss: 0.2379
Epoch 4 Batch 988/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7795, Loss: 0.2526
Epoch 4 Batch 989/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7827, Loss: 0.2602
Epoch 4 Batch 990/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7848, Loss: 0.2756
Epoch 4 Batch 991/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.7873, Loss: 0.2507
Epoch 4 Batch 992/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7891, Loss: 0.2402
Epoch 4 Batch 993/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.7919, Loss: 0.2319
Epoch 4 Batch 994/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8082, Loss: 0.2520
Epoch 4 Batch 995/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8097, Loss: 0.2387
Epoch 4 Batch 996/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8161, Loss: 0.2617
Epoch 4 Batch 997/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.8157, Loss: 0.2622
Epoch 4 Batch 998/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8132, Loss: 0.2400
Epoch 4 Batch 999/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8018, Loss: 0.2555
Epoch 4 Batch 1000/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.7923, Loss: 0.2424
Epoch 4 Batch 1001/1077 - Train Accuracy: 0.8565, Validation Accuracy: 0.7887, Loss: 0.2171
Epoch 4 Batch 1002/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.7802, Loss: 0.2202
Epoch 4 Batch 1003/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.7766, Loss: 0.2402
Epoch 4 Batch 1004/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.7628, Loss: 0.2714
Epoch 4 Batch 1005/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.7727, Loss: 0.2543
Epoch 4 Batch 1006/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.7699, Loss: 0.2275
Epoch 4 Batch 1007/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.7717, Loss: 0.2201
Epoch 4 Batch 1008/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.7727, Loss: 0.2797
Epoch 4 Batch 1009/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.7710, Loss: 0.2341
Epoch 4 Batch 1010/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.7773, Loss: 0.2652
Epoch 4 Batch 1011/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7763, Loss: 0.2537
Epoch 4 Batch 1012/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7795, Loss: 0.2284
Epoch 4 Batch 1013/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.7692, Loss: 0.2310
Epoch 4 Batch 1014/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7834, Loss: 0.2527
Epoch 4 Batch 1015/1077 - Train Accuracy: 0.7766, Validation Accuracy: 0.7827, Loss: 0.2832
Epoch 4 Batch 1016/1077 - Train Accuracy: 0.7853, Validation Accuracy: 0.7791, Loss: 0.2575
Epoch 4 Batch 1017/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7731, Loss: 0.2670
Epoch 4 Batch 1018/1077 - Train Accuracy: 0.7701, Validation Accuracy: 0.7688, Loss: 0.2481
Epoch 4 Batch 1019/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.7738, Loss: 0.2896
Epoch 4 Batch 1020/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.7770, Loss: 0.2318
Epoch 4 Batch 1021/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7692, Loss: 0.2403
Epoch 4 Batch 1022/1077 - Train Accuracy: 0.7935, Validation Accuracy: 0.7745, Loss: 0.2331
Epoch 4 Batch 1023/1077 - Train Accuracy: 0.8299, Validation Accuracy: 0.7667, Loss: 0.2643
Epoch 4 Batch 1024/1077 - Train Accuracy: 0.7664, Validation Accuracy: 0.7766, Loss: 0.2649
Epoch 4 Batch 1025/1077 - Train Accuracy: 0.8106, Validation Accuracy: 0.7802, Loss: 0.2464
Epoch 4 Batch 1026/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.7884, Loss: 0.2458
Epoch 4 Batch 1027/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7859, Loss: 0.2627
Epoch 4 Batch 1028/1077 - Train Accuracy: 0.7798, Validation Accuracy: 0.8050, Loss: 0.2459
Epoch 4 Batch 1029/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8054, Loss: 0.2225
Epoch 4 Batch 1030/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.8050, Loss: 0.2583
Epoch 4 Batch 1031/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.8061, Loss: 0.2900
Epoch 4 Batch 1032/1077 - Train Accuracy: 0.7987, Validation Accuracy: 0.8040, Loss: 0.2617
Epoch 4 Batch 1033/1077 - Train Accuracy: 0.7987, Validation Accuracy: 0.8068, Loss: 0.2628
Epoch 4 Batch 1034/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8040, Loss: 0.2540
Epoch 4 Batch 1035/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8040, Loss: 0.2166
Epoch 4 Batch 1036/1077 - Train Accuracy: 0.7928, Validation Accuracy: 0.7987, Loss: 0.2543
Epoch 4 Batch 1037/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7947, Loss: 0.2589
Epoch 4 Batch 1038/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.7908, Loss: 0.2557
Epoch 4 Batch 1039/1077 - Train Accuracy: 0.8177, Validation Accuracy: 0.7969, Loss: 0.2421
Epoch 4 Batch 1040/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8068, Loss: 0.2620
Epoch 4 Batch 1041/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.7869, Loss: 0.2696
Epoch 4 Batch 1042/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7979, Loss: 0.2515
Epoch 4 Batch 1043/1077 - Train Accuracy: 0.8070, Validation Accuracy: 0.7951, Loss: 0.2674
Epoch 4 Batch 1044/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7869, Loss: 0.2666
Epoch 4 Batch 1045/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7820, Loss: 0.2517
Epoch 4 Batch 1046/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7802, Loss: 0.2007
Epoch 4 Batch 1047/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.7798, Loss: 0.2443
Epoch 4 Batch 1048/1077 - Train Accuracy: 0.7773, Validation Accuracy: 0.7809, Loss: 0.2497
Epoch 4 Batch 1049/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7944, Loss: 0.2656
Epoch 4 Batch 1050/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.7894, Loss: 0.2535
Epoch 4 Batch 1051/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.7891, Loss: 0.2549
Epoch 4 Batch 1052/1077 - Train Accuracy: 0.8679, Validation Accuracy: 0.8086, Loss: 0.2316
Epoch 4 Batch 1053/1077 - Train Accuracy: 0.8065, Validation Accuracy: 0.8132, Loss: 0.2439
Epoch 4 Batch 1054/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8136, Loss: 0.2504
Epoch 4 Batch 1055/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8121, Loss: 0.2487
Epoch 4 Batch 1056/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8097, Loss: 0.2448
Epoch 4 Batch 1057/1077 - Train Accuracy: 0.7825, Validation Accuracy: 0.8015, Loss: 0.2561
Epoch 4 Batch 1058/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.8001, Loss: 0.2873
Epoch 4 Batch 1059/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7919, Loss: 0.2921
Epoch 4 Batch 1060/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7983, Loss: 0.2359
Epoch 4 Batch 1061/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7947, Loss: 0.2808
Epoch 4 Batch 1062/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.7866, Loss: 0.2503
Epoch 4 Batch 1063/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.7837, Loss: 0.2294
Epoch 4 Batch 1064/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.7812, Loss: 0.2688
Epoch 4 Batch 1065/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7812, Loss: 0.2514
Epoch 4 Batch 1066/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.7827, Loss: 0.2487
Epoch 4 Batch 1067/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7756, Loss: 0.2543
Epoch 4 Batch 1068/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.7752, Loss: 0.2403
Epoch 4 Batch 1069/1077 - Train Accuracy: 0.8173, Validation Accuracy: 0.7763, Loss: 0.2118
Epoch 4 Batch 1070/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.7752, Loss: 0.2373
Epoch 4 Batch 1071/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7862, Loss: 0.2400
Epoch 4 Batch 1072/1077 - Train Accuracy: 0.8028, Validation Accuracy: 0.7827, Loss: 0.2303
Epoch 4 Batch 1073/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.7912, Loss: 0.2674
Epoch 4 Batch 1074/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.7873, Loss: 0.2674
Epoch 4 Batch 1075/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7969, Loss: 0.2711
Epoch 5 Batch 1/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.7944, Loss: 0.2397
Epoch 5 Batch 2/1077 - Train Accuracy: 0.7841, Validation Accuracy: 0.8093, Loss: 0.2889
Epoch 5 Batch 3/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8054, Loss: 0.2398
Epoch 5 Batch 4/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8043, Loss: 0.2489
Epoch 5 Batch 5/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8040, Loss: 0.2660
Epoch 5 Batch 6/1077 - Train Accuracy: 0.7848, Validation Accuracy: 0.8029, Loss: 0.2505
Epoch 5 Batch 7/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7990, Loss: 0.2298
Epoch 5 Batch 8/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.7926, Loss: 0.2444
Epoch 5 Batch 9/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7962, Loss: 0.2571
Epoch 5 Batch 10/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8029, Loss: 0.2631
Epoch 5 Batch 11/1077 - Train Accuracy: 0.7917, Validation Accuracy: 0.8011, Loss: 0.2606
Epoch 5 Batch 12/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.7947, Loss: 0.2592
Epoch 5 Batch 13/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.7901, Loss: 0.2701
Epoch 5 Batch 14/1077 - Train Accuracy: 0.8322, Validation Accuracy: 0.7905, Loss: 0.2125
Epoch 5 Batch 15/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.7816, Loss: 0.2441
Epoch 5 Batch 16/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.7805, Loss: 0.2654
Epoch 5 Batch 17/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.7805, Loss: 0.2338
Epoch 5 Batch 18/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7844, Loss: 0.2622
Epoch 5 Batch 19/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.7841, Loss: 0.2492
Epoch 5 Batch 20/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.7841, Loss: 0.2138
Epoch 5 Batch 21/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.7798, Loss: 0.2688
Epoch 5 Batch 22/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.7820, Loss: 0.2607
Epoch 5 Batch 23/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.7699, Loss: 0.2650
Epoch 5 Batch 24/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7702, Loss: 0.2347
Epoch 5 Batch 25/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7717, Loss: 0.2382
Epoch 5 Batch 26/1077 - Train Accuracy: 0.7937, Validation Accuracy: 0.7894, Loss: 0.2652
Epoch 5 Batch 27/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.7884, Loss: 0.2332
Epoch 5 Batch 28/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.7891, Loss: 0.2432
Epoch 5 Batch 29/1077 - Train Accuracy: 0.7988, Validation Accuracy: 0.7923, Loss: 0.2424
Epoch 5 Batch 30/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.7990, Loss: 0.2275
Epoch 5 Batch 31/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.8054, Loss: 0.2576
Epoch 5 Batch 32/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8015, Loss: 0.2515
Epoch 5 Batch 33/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.7933, Loss: 0.2213
Epoch 5 Batch 34/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.7876, Loss: 0.2463
Epoch 5 Batch 35/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7841, Loss: 0.2419
Epoch 5 Batch 36/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.7788, Loss: 0.2554
Epoch 5 Batch 37/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.7812, Loss: 0.2488
Epoch 5 Batch 38/1077 - Train Accuracy: 0.7763, Validation Accuracy: 0.7884, Loss: 0.2974
Epoch 5 Batch 39/1077 - Train Accuracy: 0.7930, Validation Accuracy: 0.8065, Loss: 0.2814
Epoch 5 Batch 40/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8210, Loss: 0.2549
Epoch 5 Batch 41/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8111, Loss: 0.2391
Epoch 5 Batch 42/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8089, Loss: 0.2673
Epoch 5 Batch 43/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8093, Loss: 0.2269
Epoch 5 Batch 44/1077 - Train Accuracy: 0.8495, Validation Accuracy: 0.7802, Loss: 0.2559
Epoch 5 Batch 45/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.7699, Loss: 0.2430
Epoch 5 Batch 46/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.7788, Loss: 0.2591
Epoch 5 Batch 47/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.7773, Loss: 0.2378
Epoch 5 Batch 48/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.7827, Loss: 0.2717
Epoch 5 Batch 49/1077 - Train Accuracy: 0.8054, Validation Accuracy: 0.7869, Loss: 0.2640
Epoch 5 Batch 50/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8018, Loss: 0.2461
Epoch 5 Batch 51/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8054, Loss: 0.2580
Epoch 5 Batch 52/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8008, Loss: 0.2518
Epoch 5 Batch 53/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8065, Loss: 0.2401
Epoch 5 Batch 54/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8086, Loss: 0.2844
Epoch 5 Batch 55/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8164, Loss: 0.2547
Epoch 5 Batch 56/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8036, Loss: 0.2261
Epoch 5 Batch 57/1077 - Train Accuracy: 0.7979, Validation Accuracy: 0.7919, Loss: 0.2391
Epoch 5 Batch 58/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.7862, Loss: 0.2379
Epoch 5 Batch 59/1077 - Train Accuracy: 0.7907, Validation Accuracy: 0.7944, Loss: 0.2533
Epoch 5 Batch 60/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8004, Loss: 0.2370
Epoch 5 Batch 61/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8065, Loss: 0.2577
Epoch 5 Batch 62/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8065, Loss: 0.2761
Epoch 5 Batch 63/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8061, Loss: 0.2215
Epoch 5 Batch 64/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.8050, Loss: 0.2475
Epoch 5 Batch 65/1077 - Train Accuracy: 0.7870, Validation Accuracy: 0.7972, Loss: 0.2478
Epoch 5 Batch 66/1077 - Train Accuracy: 0.8103, Validation Accuracy: 0.7976, Loss: 0.2369
Epoch 5 Batch 67/1077 - Train Accuracy: 0.8025, Validation Accuracy: 0.7947, Loss: 0.2395
Epoch 5 Batch 68/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.7990, Loss: 0.2659
Epoch 5 Batch 69/1077 - Train Accuracy: 0.7914, Validation Accuracy: 0.8008, Loss: 0.2855
Epoch 5 Batch 70/1077 - Train Accuracy: 0.7915, Validation Accuracy: 0.7912, Loss: 0.2579
Epoch 5 Batch 71/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.7919, Loss: 0.2321
Epoch 5 Batch 72/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7972, Loss: 0.2438
Epoch 5 Batch 73/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.7887, Loss: 0.2534
Epoch 5 Batch 74/1077 - Train Accuracy: 0.7954, Validation Accuracy: 0.8043, Loss: 0.2146
Epoch 5 Batch 75/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8079, Loss: 0.2754
Epoch 5 Batch 76/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8118, Loss: 0.2267
Epoch 5 Batch 77/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8111, Loss: 0.2316
Epoch 5 Batch 78/1077 - Train Accuracy: 0.7780, Validation Accuracy: 0.8168, Loss: 0.2713
Epoch 5 Batch 79/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8164, Loss: 0.2577
Epoch 5 Batch 80/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8104, Loss: 0.2244
Epoch 5 Batch 81/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8004, Loss: 0.2574
Epoch 5 Batch 82/1077 - Train Accuracy: 0.8114, Validation Accuracy: 0.8058, Loss: 0.2168
Epoch 5 Batch 83/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.7965, Loss: 0.2530
Epoch 5 Batch 84/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.7955, Loss: 0.2455
Epoch 5 Batch 85/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8008, Loss: 0.2359
Epoch 5 Batch 86/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8050, Loss: 0.2592
Epoch 5 Batch 87/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8075, Loss: 0.2781
Epoch 5 Batch 88/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8171, Loss: 0.2509
Epoch 5 Batch 89/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8175, Loss: 0.2421
Epoch 5 Batch 90/1077 - Train Accuracy: 0.7758, Validation Accuracy: 0.8118, Loss: 0.2585
Epoch 5 Batch 91/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.7983, Loss: 0.2146
Epoch 5 Batch 92/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7976, Loss: 0.2432
Epoch 5 Batch 93/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8011, Loss: 0.2346
Epoch 5 Batch 94/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8004, Loss: 0.2257
Epoch 5 Batch 95/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8050, Loss: 0.2507
Epoch 5 Batch 96/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7994, Loss: 0.2414
Epoch 5 Batch 97/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8022, Loss: 0.2515
Epoch 5 Batch 98/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8036, Loss: 0.2374
Epoch 5 Batch 99/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.7983, Loss: 0.2507
Epoch 5 Batch 100/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.7869, Loss: 0.2471
Epoch 5 Batch 101/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.7834, Loss: 0.2311
Epoch 5 Batch 102/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7788, Loss: 0.2314
Epoch 5 Batch 103/1077 - Train Accuracy: 0.8067, Validation Accuracy: 0.7841, Loss: 0.2556
Epoch 5 Batch 104/1077 - Train Accuracy: 0.8446, Validation Accuracy: 0.7855, Loss: 0.2605
Epoch 5 Batch 105/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7965, Loss: 0.2319
Epoch 5 Batch 106/1077 - Train Accuracy: 0.8388, Validation Accuracy: 0.7955, Loss: 0.2901
Epoch 5 Batch 107/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.7944, Loss: 0.2523
Epoch 5 Batch 108/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.7884, Loss: 0.2253
Epoch 5 Batch 109/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.7912, Loss: 0.2487
Epoch 5 Batch 110/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.7926, Loss: 0.2170
Epoch 5 Batch 111/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7876, Loss: 0.2448
Epoch 5 Batch 112/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7898, Loss: 0.2624
Epoch 5 Batch 113/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7944, Loss: 0.2720
Epoch 5 Batch 114/1077 - Train Accuracy: 0.8374, Validation Accuracy: 0.7841, Loss: 0.2342
Epoch 5 Batch 115/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.7880, Loss: 0.2581
Epoch 5 Batch 116/1077 - Train Accuracy: 0.7512, Validation Accuracy: 0.7951, Loss: 0.2834
Epoch 5 Batch 117/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.7990, Loss: 0.2749
Epoch 5 Batch 118/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.7894, Loss: 0.2686
Epoch 5 Batch 119/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.7852, Loss: 0.2364
Epoch 5 Batch 120/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.7805, Loss: 0.2842
Epoch 5 Batch 121/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.7773, Loss: 0.2470
Epoch 5 Batch 122/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.7827, Loss: 0.2347
Epoch 5 Batch 123/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.7869, Loss: 0.2185
Epoch 5 Batch 124/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.7812, Loss: 0.2855
Epoch 5 Batch 125/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7915, Loss: 0.2540
Epoch 5 Batch 126/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.7933, Loss: 0.2367
Epoch 5 Batch 127/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.7958, Loss: 0.2659
Epoch 5 Batch 128/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.7994, Loss: 0.2215
Epoch 5 Batch 129/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7894, Loss: 0.2754
Epoch 5 Batch 130/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8043, Loss: 0.2510
Epoch 5 Batch 131/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.8061, Loss: 0.2547
Epoch 5 Batch 132/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8033, Loss: 0.2504
Epoch 5 Batch 133/1077 - Train Accuracy: 0.7788, Validation Accuracy: 0.8150, Loss: 0.2446
Epoch 5 Batch 134/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8143, Loss: 0.2475
Epoch 5 Batch 135/1077 - Train Accuracy: 0.8433, Validation Accuracy: 0.8114, Loss: 0.2534
Epoch 5 Batch 136/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8107, Loss: 0.2441
Epoch 5 Batch 137/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.7944, Loss: 0.2113
Epoch 5 Batch 138/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7891, Loss: 0.2332
Epoch 5 Batch 139/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.7844, Loss: 0.2586
Epoch 5 Batch 140/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.7852, Loss: 0.2573
Epoch 5 Batch 141/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.7770, Loss: 0.2510
Epoch 5 Batch 142/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7766, Loss: 0.2323
Epoch 5 Batch 143/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7727, Loss: 0.2534
Epoch 5 Batch 144/1077 - Train Accuracy: 0.7928, Validation Accuracy: 0.7880, Loss: 0.2948
Epoch 5 Batch 145/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8050, Loss: 0.2548
Epoch 5 Batch 146/1077 - Train Accuracy: 0.7999, Validation Accuracy: 0.8082, Loss: 0.2724
Epoch 5 Batch 147/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.8058, Loss: 0.2535
Epoch 5 Batch 148/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8050, Loss: 0.2625
Epoch 5 Batch 149/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7997, Loss: 0.2587
Epoch 5 Batch 150/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.7947, Loss: 0.2508
Epoch 5 Batch 151/1077 - Train Accuracy: 0.8237, Validation Accuracy: 0.7955, Loss: 0.2377
Epoch 5 Batch 152/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.7990, Loss: 0.2695
Epoch 5 Batch 153/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7983, Loss: 0.2811
Epoch 5 Batch 154/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8011, Loss: 0.2616
Epoch 5 Batch 155/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.7915, Loss: 0.2498
Epoch 5 Batch 156/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.7869, Loss: 0.2438
Epoch 5 Batch 157/1077 - Train Accuracy: 0.7840, Validation Accuracy: 0.7820, Loss: 0.2530
Epoch 5 Batch 158/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.7812, Loss: 0.2505
Epoch 5 Batch 159/1077 - Train Accuracy: 0.8292, Validation Accuracy: 0.7965, Loss: 0.2306
Epoch 5 Batch 160/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.7937, Loss: 0.2278
Epoch 5 Batch 161/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.7930, Loss: 0.2356
Epoch 5 Batch 162/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.7947, Loss: 0.2951
Epoch 5 Batch 163/1077 - Train Accuracy: 0.8331, Validation Accuracy: 0.7994, Loss: 0.2741
Epoch 5 Batch 164/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.7937, Loss: 0.2504
Epoch 5 Batch 165/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.8043, Loss: 0.2388
Epoch 5 Batch 166/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8068, Loss: 0.2566
Epoch 5 Batch 167/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8157, Loss: 0.2477
Epoch 5 Batch 168/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8185, Loss: 0.2746
Epoch 5 Batch 169/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8082, Loss: 0.2475
Epoch 5 Batch 170/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.7901, Loss: 0.2692
Epoch 5 Batch 171/1077 - Train Accuracy: 0.8139, Validation Accuracy: 0.8029, Loss: 0.2436
Epoch 5 Batch 172/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.7926, Loss: 0.2240
Epoch 5 Batch 173/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7876, Loss: 0.2714
Epoch 5 Batch 174/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.7848, Loss: 0.2496
Epoch 5 Batch 175/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.7827, Loss: 0.2386
Epoch 5 Batch 176/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.7777, Loss: 0.2412
Epoch 5 Batch 177/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7841, Loss: 0.2719
Epoch 5 Batch 178/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7898, Loss: 0.2486
Epoch 5 Batch 179/1077 - Train Accuracy: 0.8392, Validation Accuracy: 0.7930, Loss: 0.2654
Epoch 5 Batch 180/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8001, Loss: 0.2207
Epoch 5 Batch 181/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.7816, Loss: 0.2714
Epoch 5 Batch 182/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.7820, Loss: 0.2565
Epoch 5 Batch 183/1077 - Train Accuracy: 0.7945, Validation Accuracy: 0.7908, Loss: 0.2665
Epoch 5 Batch 184/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8033, Loss: 0.2360
Epoch 5 Batch 185/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.7969, Loss: 0.2469
Epoch 5 Batch 186/1077 - Train Accuracy: 0.8220, Validation Accuracy: 0.7962, Loss: 0.2580
Epoch 5 Batch 187/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.7944, Loss: 0.2239
Epoch 5 Batch 188/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.7979, Loss: 0.2357
Epoch 5 Batch 189/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.7930, Loss: 0.2360
Epoch 5 Batch 190/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.7976, Loss: 0.2376
Epoch 5 Batch 191/1077 - Train Accuracy: 0.8228, Validation Accuracy: 0.8022, Loss: 0.2090
Epoch 5 Batch 192/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8026, Loss: 0.2594
Epoch 5 Batch 193/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8207, Loss: 0.2328
Epoch 5 Batch 194/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8192, Loss: 0.2308
Epoch 5 Batch 195/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8146, Loss: 0.2461
Epoch 5 Batch 196/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8008, Loss: 0.2400
Epoch 5 Batch 197/1077 - Train Accuracy: 0.7992, Validation Accuracy: 0.8029, Loss: 0.2637
Epoch 5 Batch 198/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.7994, Loss: 0.2335
Epoch 5 Batch 199/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.7987, Loss: 0.2226
Epoch 5 Batch 200/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8050, Loss: 0.2467
Epoch 5 Batch 201/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.7951, Loss: 0.2055
Epoch 5 Batch 202/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.7940, Loss: 0.2492
Epoch 5 Batch 203/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8075, Loss: 0.2397
Epoch 5 Batch 204/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8150, Loss: 0.2683
Epoch 5 Batch 205/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8185, Loss: 0.2629
Epoch 5 Batch 206/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8118, Loss: 0.2457
Epoch 5 Batch 207/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.8146, Loss: 0.2410
Epoch 5 Batch 208/1077 - Train Accuracy: 0.8013, Validation Accuracy: 0.8100, Loss: 0.2348
Epoch 5 Batch 209/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.8232, Loss: 0.2163
Epoch 5 Batch 210/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8143, Loss: 0.2517
Epoch 5 Batch 211/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8054, Loss: 0.2376
Epoch 5 Batch 212/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7987, Loss: 0.2225
Epoch 5 Batch 213/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8001, Loss: 0.2182
Epoch 5 Batch 214/1077 - Train Accuracy: 0.8016, Validation Accuracy: 0.7969, Loss: 0.2355
Epoch 5 Batch 215/1077 - Train Accuracy: 0.7887, Validation Accuracy: 0.7944, Loss: 0.2558
Epoch 5 Batch 216/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.7955, Loss: 0.2691
Epoch 5 Batch 217/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.7983, Loss: 0.2189
Epoch 5 Batch 218/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.8200, Loss: 0.2958
Epoch 5 Batch 219/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8132, Loss: 0.2399
Epoch 5 Batch 220/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.8029, Loss: 0.2304
Epoch 5 Batch 221/1077 - Train Accuracy: 0.8507, Validation Accuracy: 0.8125, Loss: 0.2526
Epoch 5 Batch 222/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8121, Loss: 0.2529
Epoch 5 Batch 223/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8004, Loss: 0.2392
Epoch 5 Batch 224/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7958, Loss: 0.2594
Epoch 5 Batch 225/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8136, Loss: 0.2623
Epoch 5 Batch 226/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8050, Loss: 0.2121
Epoch 5 Batch 227/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7987, Loss: 0.2567
Epoch 5 Batch 228/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.7905, Loss: 0.2300
Epoch 5 Batch 229/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.7965, Loss: 0.2540
Epoch 5 Batch 230/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.7926, Loss: 0.2528
Epoch 5 Batch 231/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7866, Loss: 0.2679
Epoch 5 Batch 232/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.7884, Loss: 0.2468
Epoch 5 Batch 233/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7788, Loss: 0.2860
Epoch 5 Batch 234/1077 - Train Accuracy: 0.8010, Validation Accuracy: 0.7820, Loss: 0.2618
Epoch 5 Batch 235/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.7901, Loss: 0.2088
Epoch 5 Batch 236/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7880, Loss: 0.2485
Epoch 5 Batch 237/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.7834, Loss: 0.2134
Epoch 5 Batch 238/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7898, Loss: 0.2507
Epoch 5 Batch 239/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8026, Loss: 0.2097
Epoch 5 Batch 240/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.7994, Loss: 0.2261
Epoch 5 Batch 241/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.7976, Loss: 0.2167
Epoch 5 Batch 242/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.7994, Loss: 0.2257
Epoch 5 Batch 243/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8043, Loss: 0.2409
Epoch 5 Batch 244/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8097, Loss: 0.2349
Epoch 5 Batch 245/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8125, Loss: 0.2326
Epoch 5 Batch 246/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8093, Loss: 0.2430
Epoch 5 Batch 247/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8033, Loss: 0.2273
Epoch 5 Batch 248/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.7987, Loss: 0.2433
Epoch 5 Batch 249/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.7876, Loss: 0.2406
Epoch 5 Batch 250/1077 - Train Accuracy: 0.8040, Validation Accuracy: 0.7852, Loss: 0.2346
Epoch 5 Batch 251/1077 - Train Accuracy: 0.8263, Validation Accuracy: 0.7891, Loss: 0.2449
Epoch 5 Batch 252/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7955, Loss: 0.2766
Epoch 5 Batch 253/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7972, Loss: 0.2321
Epoch 5 Batch 254/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7976, Loss: 0.2301
Epoch 5 Batch 255/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.8047, Loss: 0.2463
Epoch 5 Batch 256/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8018, Loss: 0.2718
Epoch 5 Batch 257/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8015, Loss: 0.2243
Epoch 5 Batch 258/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.7958, Loss: 0.2377
Epoch 5 Batch 259/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.7958, Loss: 0.2479
Epoch 5 Batch 260/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.7987, Loss: 0.2161
Epoch 5 Batch 261/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8054, Loss: 0.2474
Epoch 5 Batch 262/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8043, Loss: 0.2235
Epoch 5 Batch 263/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8022, Loss: 0.2330
Epoch 5 Batch 264/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8097, Loss: 0.2640
Epoch 5 Batch 265/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8111, Loss: 0.2272
Epoch 5 Batch 266/1077 - Train Accuracy: 0.8155, Validation Accuracy: 0.8040, Loss: 0.2312
Epoch 5 Batch 267/1077 - Train Accuracy: 0.8338, Validation Accuracy: 0.8075, Loss: 0.2329
Epoch 5 Batch 268/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8043, Loss: 0.2611
Epoch 5 Batch 269/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7940, Loss: 0.2652
Epoch 5 Batch 270/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7940, Loss: 0.2478
Epoch 5 Batch 271/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8029, Loss: 0.2520
Epoch 5 Batch 272/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.7958, Loss: 0.2995
Epoch 5 Batch 273/1077 - Train Accuracy: 0.8017, Validation Accuracy: 0.7862, Loss: 0.2368
Epoch 5 Batch 274/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.7844, Loss: 0.2244
Epoch 5 Batch 275/1077 - Train Accuracy: 0.8177, Validation Accuracy: 0.7898, Loss: 0.2498
Epoch 5 Batch 276/1077 - Train Accuracy: 0.7844, Validation Accuracy: 0.7876, Loss: 0.2865
Epoch 5 Batch 277/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.7809, Loss: 0.2124
Epoch 5 Batch 278/1077 - Train Accuracy: 0.7789, Validation Accuracy: 0.7976, Loss: 0.2870
Epoch 5 Batch 279/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8033, Loss: 0.2738
Epoch 5 Batch 280/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8072, Loss: 0.2546
Epoch 5 Batch 281/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8050, Loss: 0.2636
Epoch 5 Batch 282/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7915, Loss: 0.2756
Epoch 5 Batch 283/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.7855, Loss: 0.2785
Epoch 5 Batch 284/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8011, Loss: 0.2667
Epoch 5 Batch 285/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8100, Loss: 0.2341
Epoch 5 Batch 286/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.8047, Loss: 0.2331
Epoch 5 Batch 287/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8054, Loss: 0.2434
Epoch 5 Batch 288/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8082, Loss: 0.2610
Epoch 5 Batch 289/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8029, Loss: 0.2317
Epoch 5 Batch 290/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.7997, Loss: 0.2717
Epoch 5 Batch 291/1077 - Train Accuracy: 0.7835, Validation Accuracy: 0.7983, Loss: 0.2820
Epoch 5 Batch 292/1077 - Train Accuracy: 0.8415, Validation Accuracy: 0.7990, Loss: 0.2382
Epoch 5 Batch 293/1077 - Train Accuracy: 0.7684, Validation Accuracy: 0.7830, Loss: 0.2628
Epoch 5 Batch 294/1077 - Train Accuracy: 0.8157, Validation Accuracy: 0.7873, Loss: 0.2560
Epoch 5 Batch 295/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7880, Loss: 0.2768
Epoch 5 Batch 296/1077 - Train Accuracy: 0.8482, Validation Accuracy: 0.7940, Loss: 0.2383
Epoch 5 Batch 297/1077 - Train Accuracy: 0.7828, Validation Accuracy: 0.7972, Loss: 0.2583
Epoch 5 Batch 298/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.7940, Loss: 0.2747
Epoch 5 Batch 299/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.7972, Loss: 0.2303
Epoch 5 Batch 300/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8185, Loss: 0.2493
Epoch 5 Batch 301/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8228, Loss: 0.2217
Epoch 5 Batch 302/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8260, Loss: 0.2470
Epoch 5 Batch 303/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8260, Loss: 0.2538
Epoch 5 Batch 304/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8079, Loss: 0.2137
Epoch 5 Batch 305/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8026, Loss: 0.2242
Epoch 5 Batch 306/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8086, Loss: 0.2381
Epoch 5 Batch 307/1077 - Train Accuracy: 0.8118, Validation Accuracy: 0.8011, Loss: 0.2340
Epoch 5 Batch 308/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7997, Loss: 0.2664
Epoch 5 Batch 309/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.7976, Loss: 0.2165
Epoch 5 Batch 310/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.7951, Loss: 0.2522
Epoch 5 Batch 311/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8022, Loss: 0.2267
Epoch 5 Batch 312/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.7983, Loss: 0.2466
Epoch 5 Batch 313/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8004, Loss: 0.2316
Epoch 5 Batch 314/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.7944, Loss: 0.2395
Epoch 5 Batch 315/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.7933, Loss: 0.2237
Epoch 5 Batch 316/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.7994, Loss: 0.2215
Epoch 5 Batch 317/1077 - Train Accuracy: 0.8470, Validation Accuracy: 0.7933, Loss: 0.2702
Epoch 5 Batch 318/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.7930, Loss: 0.2537
Epoch 5 Batch 319/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.7901, Loss: 0.2470
Epoch 5 Batch 320/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.7940, Loss: 0.2507
Epoch 5 Batch 321/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.7894, Loss: 0.2318
Epoch 5 Batch 322/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.7827, Loss: 0.2177
Epoch 5 Batch 323/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.7933, Loss: 0.2224
Epoch 5 Batch 324/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.7951, Loss: 0.2257
Epoch 5 Batch 325/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7923, Loss: 0.2283
Epoch 5 Batch 326/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.7901, Loss: 0.2514
Epoch 5 Batch 327/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.7891, Loss: 0.2601
Epoch 5 Batch 328/1077 - Train Accuracy: 0.8259, Validation Accuracy: 0.7958, Loss: 0.2540
Epoch 5 Batch 329/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.7898, Loss: 0.2487
Epoch 5 Batch 330/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7809, Loss: 0.2608
Epoch 5 Batch 331/1077 - Train Accuracy: 0.8298, Validation Accuracy: 0.7820, Loss: 0.2528
Epoch 5 Batch 332/1077 - Train Accuracy: 0.8482, Validation Accuracy: 0.7756, Loss: 0.2232
Epoch 5 Batch 333/1077 - Train Accuracy: 0.8651, Validation Accuracy: 0.7749, Loss: 0.2365
Epoch 5 Batch 334/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.7830, Loss: 0.2377
Epoch 5 Batch 335/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.7766, Loss: 0.2231
Epoch 5 Batch 336/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.7685, Loss: 0.2642
Epoch 5 Batch 337/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7678, Loss: 0.2447
Epoch 5 Batch 338/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7688, Loss: 0.2697
Epoch 5 Batch 339/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7752, Loss: 0.2251
Epoch 5 Batch 340/1077 - Train Accuracy: 0.8265, Validation Accuracy: 0.7788, Loss: 0.2630
Epoch 5 Batch 341/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.7859, Loss: 0.2722
Epoch 5 Batch 342/1077 - Train Accuracy: 0.8147, Validation Accuracy: 0.7915, Loss: 0.2346
Epoch 5 Batch 343/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.7969, Loss: 0.2372
Epoch 5 Batch 344/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8061, Loss: 0.2490
Epoch 5 Batch 345/1077 - Train Accuracy: 0.8560, Validation Accuracy: 0.7915, Loss: 0.2204
Epoch 5 Batch 346/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.7962, Loss: 0.2624
Epoch 5 Batch 347/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8029, Loss: 0.2267
Epoch 5 Batch 348/1077 - Train Accuracy: 0.8062, Validation Accuracy: 0.8036, Loss: 0.2294
Epoch 5 Batch 349/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.8075, Loss: 0.2500
Epoch 5 Batch 350/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8061, Loss: 0.2711
Epoch 5 Batch 351/1077 - Train Accuracy: 0.8150, Validation Accuracy: 0.8129, Loss: 0.2508
Epoch 5 Batch 352/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8185, Loss: 0.2510
Epoch 5 Batch 353/1077 - Train Accuracy: 0.7771, Validation Accuracy: 0.8242, Loss: 0.2913
Epoch 5 Batch 354/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8239, Loss: 0.2767
Epoch 5 Batch 355/1077 - Train Accuracy: 0.8173, Validation Accuracy: 0.8239, Loss: 0.2512
Epoch 5 Batch 356/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8114, Loss: 0.2518
Epoch 5 Batch 357/1077 - Train Accuracy: 0.8006, Validation Accuracy: 0.8203, Loss: 0.2410
Epoch 5 Batch 358/1077 - Train Accuracy: 0.7878, Validation Accuracy: 0.8232, Loss: 0.2620
Epoch 5 Batch 359/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8182, Loss: 0.2395
Epoch 5 Batch 360/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8182, Loss: 0.2607
Epoch 5 Batch 361/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8107, Loss: 0.2598
Epoch 5 Batch 362/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8111, Loss: 0.2455
Epoch 5 Batch 363/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.8104, Loss: 0.2483
Epoch 5 Batch 364/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8104, Loss: 0.2536
Epoch 5 Batch 365/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8068, Loss: 0.2120
Epoch 5 Batch 366/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8001, Loss: 0.2291
Epoch 5 Batch 367/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8058, Loss: 0.2296
Epoch 5 Batch 368/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.7955, Loss: 0.2474
Epoch 5 Batch 369/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7926, Loss: 0.2596
Epoch 5 Batch 370/1077 - Train Accuracy: 0.8304, Validation Accuracy: 0.7855, Loss: 0.2502
Epoch 5 Batch 371/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.7852, Loss: 0.2318
Epoch 5 Batch 372/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.7816, Loss: 0.2354
Epoch 5 Batch 373/1077 - Train Accuracy: 0.8560, Validation Accuracy: 0.7827, Loss: 0.2168
Epoch 5 Batch 374/1077 - Train Accuracy: 0.8004, Validation Accuracy: 0.7901, Loss: 0.2637
Epoch 5 Batch 375/1077 - Train Accuracy: 0.8288, Validation Accuracy: 0.8093, Loss: 0.2439
Epoch 5 Batch 376/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.8004, Loss: 0.2321
Epoch 5 Batch 377/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8107, Loss: 0.2602
Epoch 5 Batch 378/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8079, Loss: 0.2109
Epoch 5 Batch 379/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.7933, Loss: 0.2604
Epoch 5 Batch 380/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.7962, Loss: 0.2406
Epoch 5 Batch 381/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.7915, Loss: 0.2626
Epoch 5 Batch 382/1077 - Train Accuracy: 0.8218, Validation Accuracy: 0.7990, Loss: 0.2803
Epoch 5 Batch 383/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8161, Loss: 0.2170
Epoch 5 Batch 384/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8111, Loss: 0.2312
Epoch 5 Batch 385/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8132, Loss: 0.2202
Epoch 5 Batch 386/1077 - Train Accuracy: 0.8225, Validation Accuracy: 0.8224, Loss: 0.2341
Epoch 5 Batch 387/1077 - Train Accuracy: 0.8887, Validation Accuracy: 0.8274, Loss: 0.2286
Epoch 5 Batch 388/1077 - Train Accuracy: 0.8188, Validation Accuracy: 0.8207, Loss: 0.2396
Epoch 5 Batch 389/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8168, Loss: 0.2694
Epoch 5 Batch 390/1077 - Train Accuracy: 0.7645, Validation Accuracy: 0.8107, Loss: 0.2567
Epoch 5 Batch 391/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8050, Loss: 0.2592
Epoch 5 Batch 392/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8097, Loss: 0.2500
Epoch 5 Batch 393/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.8129, Loss: 0.2236
Epoch 5 Batch 394/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8192, Loss: 0.2294
Epoch 5 Batch 395/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8089, Loss: 0.2390
Epoch 5 Batch 396/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8011, Loss: 0.2534
Epoch 5 Batch 397/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.7969, Loss: 0.2355
Epoch 5 Batch 398/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.7944, Loss: 0.2652
Epoch 5 Batch 399/1077 - Train Accuracy: 0.8022, Validation Accuracy: 0.8022, Loss: 0.2581
Epoch 5 Batch 400/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.7997, Loss: 0.2550
Epoch 5 Batch 401/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8093, Loss: 0.2354
Epoch 5 Batch 402/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8043, Loss: 0.2180
Epoch 5 Batch 403/1077 - Train Accuracy: 0.7609, Validation Accuracy: 0.8082, Loss: 0.2584
Epoch 5 Batch 404/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8068, Loss: 0.2215
Epoch 5 Batch 405/1077 - Train Accuracy: 0.8388, Validation Accuracy: 0.8065, Loss: 0.2600
Epoch 5 Batch 406/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8079, Loss: 0.2599
Epoch 5 Batch 407/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8033, Loss: 0.2727
Epoch 5 Batch 408/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8079, Loss: 0.2626
Epoch 5 Batch 409/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8093, Loss: 0.2647
Epoch 5 Batch 410/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8100, Loss: 0.2619
Epoch 5 Batch 411/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.8061, Loss: 0.2459
Epoch 5 Batch 412/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8068, Loss: 0.2364
Epoch 5 Batch 413/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8058, Loss: 0.2232
Epoch 5 Batch 414/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8107, Loss: 0.2562
Epoch 5 Batch 415/1077 - Train Accuracy: 0.8196, Validation Accuracy: 0.8168, Loss: 0.2684
Epoch 5 Batch 416/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8097, Loss: 0.2455
Epoch 5 Batch 417/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8004, Loss: 0.2914
Epoch 5 Batch 418/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.7944, Loss: 0.2408
Epoch 5 Batch 419/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8004, Loss: 0.2458
Epoch 5 Batch 420/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8018, Loss: 0.2343
Epoch 5 Batch 421/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8058, Loss: 0.2479
Epoch 5 Batch 422/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8054, Loss: 0.2169
Epoch 5 Batch 423/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8011, Loss: 0.2578
Epoch 5 Batch 424/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.8061, Loss: 0.2266
Epoch 5 Batch 425/1077 - Train Accuracy: 0.8229, Validation Accuracy: 0.8114, Loss: 0.2252
Epoch 5 Batch 426/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.8118, Loss: 0.2490
Epoch 5 Batch 427/1077 - Train Accuracy: 0.7868, Validation Accuracy: 0.8043, Loss: 0.2438
Epoch 5 Batch 428/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8082, Loss: 0.2418
Epoch 5 Batch 429/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8029, Loss: 0.2295
Epoch 5 Batch 430/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.8004, Loss: 0.2335
Epoch 5 Batch 431/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.7972, Loss: 0.2297
Epoch 5 Batch 432/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8054, Loss: 0.2385
Epoch 5 Batch 433/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8054, Loss: 0.2313
Epoch 5 Batch 434/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8125, Loss: 0.2355
Epoch 5 Batch 435/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8082, Loss: 0.2422
Epoch 5 Batch 436/1077 - Train Accuracy: 0.8330, Validation Accuracy: 0.8004, Loss: 0.2367
Epoch 5 Batch 437/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8075, Loss: 0.2267
Epoch 5 Batch 438/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.8157, Loss: 0.2425
Epoch 5 Batch 439/1077 - Train Accuracy: 0.7832, Validation Accuracy: 0.8210, Loss: 0.2588
Epoch 5 Batch 440/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8232, Loss: 0.2568
Epoch 5 Batch 441/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.8299, Loss: 0.2395
Epoch 5 Batch 442/1077 - Train Accuracy: 0.8575, Validation Accuracy: 0.8320, Loss: 0.2406
Epoch 5 Batch 443/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8313, Loss: 0.2408
Epoch 5 Batch 444/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8374, Loss: 0.2280
Epoch 5 Batch 445/1077 - Train Accuracy: 0.7755, Validation Accuracy: 0.8366, Loss: 0.2853
Epoch 5 Batch 446/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8228, Loss: 0.2265
Epoch 5 Batch 447/1077 - Train Accuracy: 0.7703, Validation Accuracy: 0.8157, Loss: 0.2593
Epoch 5 Batch 448/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8118, Loss: 0.2972
Epoch 5 Batch 449/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8153, Loss: 0.2596
Epoch 5 Batch 450/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8061, Loss: 0.2339
Epoch 5 Batch 451/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8065, Loss: 0.2369
Epoch 5 Batch 452/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8100, Loss: 0.2473
Epoch 5 Batch 453/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8114, Loss: 0.2282
Epoch 5 Batch 454/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.7990, Loss: 0.2274
Epoch 5 Batch 455/1077 - Train Accuracy: 0.8427, Validation Accuracy: 0.8022, Loss: 0.2354
Epoch 5 Batch 456/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8075, Loss: 0.2575
Epoch 5 Batch 457/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.8086, Loss: 0.2358
Epoch 5 Batch 458/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8068, Loss: 0.2449
Epoch 5 Batch 459/1077 - Train Accuracy: 0.8181, Validation Accuracy: 0.8068, Loss: 0.2322
Epoch 5 Batch 460/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.8072, Loss: 0.2723
Epoch 5 Batch 461/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8079, Loss: 0.2446
Epoch 5 Batch 462/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8086, Loss: 0.2394
Epoch 5 Batch 463/1077 - Train Accuracy: 0.8098, Validation Accuracy: 0.8075, Loss: 0.2729
Epoch 5 Batch 464/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8075, Loss: 0.2475
Epoch 5 Batch 465/1077 - Train Accuracy: 0.8030, Validation Accuracy: 0.8075, Loss: 0.2658
Epoch 5 Batch 466/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8232, Loss: 0.2209
Epoch 5 Batch 467/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8164, Loss: 0.2413
Epoch 5 Batch 468/1077 - Train Accuracy: 0.8728, Validation Accuracy: 0.8153, Loss: 0.2232
Epoch 5 Batch 469/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8139, Loss: 0.2276
Epoch 5 Batch 470/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8150, Loss: 0.2590
Epoch 5 Batch 471/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8175, Loss: 0.2227
Epoch 5 Batch 472/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8104, Loss: 0.2275
Epoch 5 Batch 473/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8132, Loss: 0.2403
Epoch 5 Batch 474/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8139, Loss: 0.2561
Epoch 5 Batch 475/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8153, Loss: 0.2298
Epoch 5 Batch 476/1077 - Train Accuracy: 0.8376, Validation Accuracy: 0.8260, Loss: 0.2413
Epoch 5 Batch 477/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8267, Loss: 0.2325
Epoch 5 Batch 478/1077 - Train Accuracy: 0.8697, Validation Accuracy: 0.8253, Loss: 0.2451
Epoch 5 Batch 479/1077 - Train Accuracy: 0.7770, Validation Accuracy: 0.8168, Loss: 0.2708
Epoch 5 Batch 480/1077 - Train Accuracy: 0.8454, Validation Accuracy: 0.8114, Loss: 0.2633
Epoch 5 Batch 481/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.7987, Loss: 0.2488
Epoch 5 Batch 482/1077 - Train Accuracy: 0.8261, Validation Accuracy: 0.8004, Loss: 0.2673
Epoch 5 Batch 483/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8001, Loss: 0.2463
Epoch 5 Batch 484/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.7976, Loss: 0.2549
Epoch 5 Batch 485/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.7958, Loss: 0.2299
Epoch 5 Batch 486/1077 - Train Accuracy: 0.8639, Validation Accuracy: 0.7972, Loss: 0.2377
Epoch 5 Batch 487/1077 - Train Accuracy: 0.8417, Validation Accuracy: 0.7979, Loss: 0.2393
Epoch 5 Batch 488/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.7930, Loss: 0.2860
Epoch 5 Batch 489/1077 - Train Accuracy: 0.8196, Validation Accuracy: 0.7887, Loss: 0.2182
Epoch 5 Batch 490/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.7990, Loss: 0.2805
Epoch 5 Batch 491/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.7937, Loss: 0.2538
Epoch 5 Batch 492/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7990, Loss: 0.2464
Epoch 5 Batch 493/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.7876, Loss: 0.2207
Epoch 5 Batch 494/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7926, Loss: 0.2320
Epoch 5 Batch 495/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8079, Loss: 0.2471
Epoch 5 Batch 496/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8040, Loss: 0.2584
Epoch 5 Batch 497/1077 - Train Accuracy: 0.8524, Validation Accuracy: 0.8058, Loss: 0.2778
Epoch 5 Batch 498/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.7926, Loss: 0.2468
Epoch 5 Batch 499/1077 - Train Accuracy: 0.8110, Validation Accuracy: 0.7955, Loss: 0.2196
Epoch 5 Batch 500/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.7969, Loss: 0.2210
Epoch 5 Batch 501/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.7919, Loss: 0.2495
Epoch 5 Batch 502/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.7866, Loss: 0.2480
Epoch 5 Batch 503/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.7830, Loss: 0.2401
Epoch 5 Batch 504/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.7777, Loss: 0.2547
Epoch 5 Batch 505/1077 - Train Accuracy: 0.8903, Validation Accuracy: 0.7862, Loss: 0.2022
Epoch 5 Batch 506/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.7859, Loss: 0.2527
Epoch 5 Batch 507/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.7791, Loss: 0.2253
Epoch 5 Batch 508/1077 - Train Accuracy: 0.8333, Validation Accuracy: 0.7841, Loss: 0.2317
Epoch 5 Batch 509/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.7848, Loss: 0.2734
Epoch 5 Batch 510/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.7873, Loss: 0.2293
Epoch 5 Batch 511/1077 - Train Accuracy: 0.7854, Validation Accuracy: 0.7908, Loss: 0.2478
Epoch 5 Batch 512/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.7947, Loss: 0.2226
Epoch 5 Batch 513/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.7983, Loss: 0.2595
Epoch 5 Batch 514/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8026, Loss: 0.2581
Epoch 5 Batch 515/1077 - Train Accuracy: 0.7883, Validation Accuracy: 0.8047, Loss: 0.2295
Epoch 5 Batch 516/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.7908, Loss: 0.2095
Epoch 5 Batch 517/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.7976, Loss: 0.2272
Epoch 5 Batch 518/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.7951, Loss: 0.2022
Epoch 5 Batch 519/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.7965, Loss: 0.2313
Epoch 5 Batch 520/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.7979, Loss: 0.2218
Epoch 5 Batch 521/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.7997, Loss: 0.2297
Epoch 5 Batch 522/1077 - Train Accuracy: 0.7711, Validation Accuracy: 0.8111, Loss: 0.2648
Epoch 5 Batch 523/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8146, Loss: 0.2377
Epoch 5 Batch 524/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8192, Loss: 0.2515
Epoch 5 Batch 525/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8118, Loss: 0.2428
Epoch 5 Batch 526/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8143, Loss: 0.2399
Epoch 5 Batch 527/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.8068, Loss: 0.2458
Epoch 5 Batch 528/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.8086, Loss: 0.2649
Epoch 5 Batch 529/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8001, Loss: 0.2394
Epoch 5 Batch 530/1077 - Train Accuracy: 0.8047, Validation Accuracy: 0.8093, Loss: 0.2481
Epoch 5 Batch 531/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8058, Loss: 0.2092
Epoch 5 Batch 532/1077 - Train Accuracy: 0.7957, Validation Accuracy: 0.8061, Loss: 0.2503
Epoch 5 Batch 533/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8079, Loss: 0.2673
Epoch 5 Batch 534/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.8132, Loss: 0.2469
Epoch 5 Batch 535/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8157, Loss: 0.2238
Epoch 5 Batch 536/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8153, Loss: 0.2543
Epoch 5 Batch 537/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8125, Loss: 0.2434
Epoch 5 Batch 538/1077 - Train Accuracy: 0.8497, Validation Accuracy: 0.8050, Loss: 0.2168
Epoch 5 Batch 539/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8043, Loss: 0.2540
Epoch 5 Batch 540/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8008, Loss: 0.2141
Epoch 5 Batch 541/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.7972, Loss: 0.2442
Epoch 5 Batch 542/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.7955, Loss: 0.2460
Epoch 5 Batch 543/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8015, Loss: 0.2474
Epoch 5 Batch 544/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8022, Loss: 0.2404
Epoch 5 Batch 545/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8036, Loss: 0.2550
Epoch 5 Batch 546/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8001, Loss: 0.2670
Epoch 5 Batch 547/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8036, Loss: 0.2273
Epoch 5 Batch 548/1077 - Train Accuracy: 0.8000, Validation Accuracy: 0.8171, Loss: 0.2524
Epoch 5 Batch 549/1077 - Train Accuracy: 0.7863, Validation Accuracy: 0.8278, Loss: 0.2809
Epoch 5 Batch 550/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8342, Loss: 0.2361
Epoch 5 Batch 551/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8129, Loss: 0.2623
Epoch 5 Batch 552/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8168, Loss: 0.2527
Epoch 5 Batch 553/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8146, Loss: 0.2920
Epoch 5 Batch 554/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8072, Loss: 0.2350
Epoch 5 Batch 555/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8050, Loss: 0.2467
Epoch 5 Batch 556/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8043, Loss: 0.2285
Epoch 5 Batch 557/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8082, Loss: 0.2264
Epoch 5 Batch 558/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8121, Loss: 0.2231
Epoch 5 Batch 559/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8033, Loss: 0.2411
Epoch 5 Batch 560/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.8036, Loss: 0.2331
Epoch 5 Batch 561/1077 - Train Accuracy: 0.8322, Validation Accuracy: 0.8040, Loss: 0.2285
Epoch 5 Batch 562/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.7926, Loss: 0.2144
Epoch 5 Batch 563/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.7841, Loss: 0.2699
Epoch 5 Batch 564/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.7841, Loss: 0.2463
Epoch 5 Batch 565/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.7891, Loss: 0.2587
Epoch 5 Batch 566/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.7894, Loss: 0.2314
Epoch 5 Batch 567/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.7880, Loss: 0.2526
Epoch 5 Batch 568/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.7894, Loss: 0.2467
Epoch 5 Batch 569/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.7923, Loss: 0.2486
Epoch 5 Batch 570/1077 - Train Accuracy: 0.7956, Validation Accuracy: 0.7947, Loss: 0.2682
Epoch 5 Batch 571/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.7901, Loss: 0.2298
Epoch 5 Batch 572/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.7827, Loss: 0.2148
Epoch 5 Batch 573/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.7848, Loss: 0.2535
Epoch 5 Batch 574/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.7947, Loss: 0.2488
Epoch 5 Batch 575/1077 - Train Accuracy: 0.8173, Validation Accuracy: 0.8018, Loss: 0.2397
Epoch 5 Batch 576/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8011, Loss: 0.2273
Epoch 5 Batch 577/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8178, Loss: 0.2691
Epoch 5 Batch 578/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8221, Loss: 0.2453
Epoch 5 Batch 579/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8263, Loss: 0.2387
Epoch 5 Batch 580/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8295, Loss: 0.2122
Epoch 5 Batch 581/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8249, Loss: 0.2195
Epoch 5 Batch 582/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8203, Loss: 0.2239
Epoch 5 Batch 583/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8136, Loss: 0.2448
Epoch 5 Batch 584/1077 - Train Accuracy: 0.8545, Validation Accuracy: 0.8114, Loss: 0.2307
Epoch 5 Batch 585/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.8118, Loss: 0.2024
Epoch 5 Batch 586/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8114, Loss: 0.2628
Epoch 5 Batch 587/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8104, Loss: 0.2530
Epoch 5 Batch 588/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8107, Loss: 0.2272
Epoch 5 Batch 589/1077 - Train Accuracy: 0.8507, Validation Accuracy: 0.8072, Loss: 0.2334
Epoch 5 Batch 590/1077 - Train Accuracy: 0.7952, Validation Accuracy: 0.8047, Loss: 0.2760
Epoch 5 Batch 591/1077 - Train Accuracy: 0.8693, Validation Accuracy: 0.8061, Loss: 0.2312
Epoch 5 Batch 592/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8086, Loss: 0.2518
Epoch 5 Batch 593/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.8043, Loss: 0.2418
Epoch 5 Batch 594/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7994, Loss: 0.2462
Epoch 5 Batch 595/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8036, Loss: 0.2565
Epoch 5 Batch 596/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8111, Loss: 0.2556
Epoch 5 Batch 597/1077 - Train Accuracy: 0.7918, Validation Accuracy: 0.8082, Loss: 0.2576
Epoch 5 Batch 598/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8079, Loss: 0.2346
Epoch 5 Batch 599/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.8118, Loss: 0.2835
Epoch 5 Batch 600/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8132, Loss: 0.2507
Epoch 5 Batch 601/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8150, Loss: 0.2395
Epoch 5 Batch 602/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8168, Loss: 0.2399
Epoch 5 Batch 603/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8118, Loss: 0.2337
Epoch 5 Batch 604/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8026, Loss: 0.2662
Epoch 5 Batch 605/1077 - Train Accuracy: 0.8458, Validation Accuracy: 0.8082, Loss: 0.2667
Epoch 5 Batch 606/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8104, Loss: 0.2180
Epoch 5 Batch 607/1077 - Train Accuracy: 0.8587, Validation Accuracy: 0.8079, Loss: 0.2168
Epoch 5 Batch 608/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8118, Loss: 0.2544
Epoch 5 Batch 609/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8100, Loss: 0.2553
Epoch 5 Batch 610/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8043, Loss: 0.2653
Epoch 5 Batch 611/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8004, Loss: 0.2412
Epoch 5 Batch 612/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8022, Loss: 0.2340
Epoch 5 Batch 613/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8050, Loss: 0.2566
Epoch 5 Batch 614/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.8093, Loss: 0.2313
Epoch 5 Batch 615/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8065, Loss: 0.2338
Epoch 5 Batch 616/1077 - Train Accuracy: 0.8154, Validation Accuracy: 0.7983, Loss: 0.2482
Epoch 5 Batch 617/1077 - Train Accuracy: 0.8136, Validation Accuracy: 0.7972, Loss: 0.2455
Epoch 5 Batch 618/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.7962, Loss: 0.2583
Epoch 5 Batch 619/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.7955, Loss: 0.2319
Epoch 5 Batch 620/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.7997, Loss: 0.2282
Epoch 5 Batch 621/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8043, Loss: 0.2365
Epoch 5 Batch 622/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8054, Loss: 0.2643
Epoch 5 Batch 623/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.7965, Loss: 0.2385
Epoch 5 Batch 624/1077 - Train Accuracy: 0.8545, Validation Accuracy: 0.8018, Loss: 0.2331
Epoch 5 Batch 625/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8143, Loss: 0.2559
Epoch 5 Batch 626/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8182, Loss: 0.2133
Epoch 5 Batch 627/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8075, Loss: 0.2447
Epoch 5 Batch 628/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8086, Loss: 0.2231
Epoch 5 Batch 629/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8086, Loss: 0.2375
Epoch 5 Batch 630/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8182, Loss: 0.2340
Epoch 5 Batch 631/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8246, Loss: 0.2407
Epoch 5 Batch 632/1077 - Train Accuracy: 0.7891, Validation Accuracy: 0.8242, Loss: 0.2262
Epoch 5 Batch 633/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8235, Loss: 0.2424
Epoch 5 Batch 634/1077 - Train Accuracy: 0.8259, Validation Accuracy: 0.8217, Loss: 0.2054
Epoch 5 Batch 635/1077 - Train Accuracy: 0.8104, Validation Accuracy: 0.8203, Loss: 0.2702
Epoch 5 Batch 636/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8288, Loss: 0.2413
Epoch 5 Batch 637/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8189, Loss: 0.2341
Epoch 5 Batch 638/1077 - Train Accuracy: 0.8225, Validation Accuracy: 0.8192, Loss: 0.2417
Epoch 5 Batch 639/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8469, Loss: 0.2537
Epoch 5 Batch 640/1077 - Train Accuracy: 0.8036, Validation Accuracy: 0.8487, Loss: 0.2197
Epoch 5 Batch 641/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.8512, Loss: 0.2487
Epoch 5 Batch 642/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8469, Loss: 0.2442
Epoch 5 Batch 643/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8409, Loss: 0.2666
Epoch 5 Batch 644/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8448, Loss: 0.2524
Epoch 5 Batch 645/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8363, Loss: 0.2431
Epoch 5 Batch 646/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8299, Loss: 0.2301
Epoch 5 Batch 647/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8260, Loss: 0.2316
Epoch 5 Batch 648/1077 - Train Accuracy: 0.8322, Validation Accuracy: 0.8168, Loss: 0.2132
Epoch 5 Batch 649/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8089, Loss: 0.2604
Epoch 5 Batch 650/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.8125, Loss: 0.2258
Epoch 5 Batch 651/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.7962, Loss: 0.2172
Epoch 5 Batch 652/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.7997, Loss: 0.2546
Epoch 5 Batch 653/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8008, Loss: 0.2380
Epoch 5 Batch 654/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8015, Loss: 0.2306
Epoch 5 Batch 655/1077 - Train Accuracy: 0.8105, Validation Accuracy: 0.8001, Loss: 0.2438
Epoch 5 Batch 656/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8036, Loss: 0.2719
Epoch 5 Batch 657/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8072, Loss: 0.2435
Epoch 5 Batch 658/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8029, Loss: 0.2325
Epoch 5 Batch 659/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.7994, Loss: 0.2495
Epoch 5 Batch 660/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8011, Loss: 0.2486
Epoch 5 Batch 661/1077 - Train Accuracy: 0.8333, Validation Accuracy: 0.8036, Loss: 0.2300
Epoch 5 Batch 662/1077 - Train Accuracy: 0.8534, Validation Accuracy: 0.8018, Loss: 0.2222
Epoch 5 Batch 663/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.7983, Loss: 0.2281
Epoch 5 Batch 664/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8018, Loss: 0.2574
Epoch 5 Batch 665/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8075, Loss: 0.2287
Epoch 5 Batch 666/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8068, Loss: 0.2454
Epoch 5 Batch 667/1077 - Train Accuracy: 0.7915, Validation Accuracy: 0.8026, Loss: 0.2566
Epoch 5 Batch 668/1077 - Train Accuracy: 0.8132, Validation Accuracy: 0.8054, Loss: 0.2292
Epoch 5 Batch 669/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8153, Loss: 0.2337
Epoch 5 Batch 670/1077 - Train Accuracy: 0.8068, Validation Accuracy: 0.8114, Loss: 0.2418
Epoch 5 Batch 671/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8168, Loss: 0.2515
Epoch 5 Batch 672/1077 - Train Accuracy: 0.8534, Validation Accuracy: 0.8161, Loss: 0.2440
Epoch 5 Batch 673/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8104, Loss: 0.2240
Epoch 5 Batch 674/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.7923, Loss: 0.2237
Epoch 5 Batch 675/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.7962, Loss: 0.2544
Epoch 5 Batch 676/1077 - Train Accuracy: 0.8240, Validation Accuracy: 0.7983, Loss: 0.2534
Epoch 5 Batch 677/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8058, Loss: 0.2600
Epoch 5 Batch 678/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8015, Loss: 0.2238
Epoch 5 Batch 679/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7955, Loss: 0.2519
Epoch 5 Batch 680/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8018, Loss: 0.2102
Epoch 5 Batch 681/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8072, Loss: 0.2369
Epoch 5 Batch 682/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8065, Loss: 0.2392
Epoch 5 Batch 683/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8121, Loss: 0.2168
Epoch 5 Batch 684/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8097, Loss: 0.2344
Epoch 5 Batch 685/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8100, Loss: 0.2563
Epoch 5 Batch 686/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8153, Loss: 0.2392
Epoch 5 Batch 687/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8203, Loss: 0.2618
Epoch 5 Batch 688/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8200, Loss: 0.2291
Epoch 5 Batch 689/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8200, Loss: 0.2167
Epoch 5 Batch 690/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8178, Loss: 0.2190
Epoch 5 Batch 691/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8129, Loss: 0.2598
Epoch 5 Batch 692/1077 - Train Accuracy: 0.8389, Validation Accuracy: 0.8143, Loss: 0.2202
Epoch 5 Batch 693/1077 - Train Accuracy: 0.7915, Validation Accuracy: 0.8139, Loss: 0.2737
Epoch 5 Batch 694/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8150, Loss: 0.2414
Epoch 5 Batch 695/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8093, Loss: 0.2334
Epoch 5 Batch 696/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8097, Loss: 0.2499
Epoch 5 Batch 697/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8086, Loss: 0.2254
Epoch 5 Batch 698/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8043, Loss: 0.2384
Epoch 5 Batch 699/1077 - Train Accuracy: 0.7944, Validation Accuracy: 0.8047, Loss: 0.2204
Epoch 5 Batch 700/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8022, Loss: 0.2044
Epoch 5 Batch 701/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.7987, Loss: 0.2374
Epoch 5 Batch 702/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.7990, Loss: 0.2825
Epoch 5 Batch 703/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8171, Loss: 0.2408
Epoch 5 Batch 704/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8207, Loss: 0.2764
Epoch 5 Batch 705/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8256, Loss: 0.2527
Epoch 5 Batch 706/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8246, Loss: 0.2613
Epoch 5 Batch 707/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8136, Loss: 0.2341
Epoch 5 Batch 708/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8086, Loss: 0.2374
Epoch 5 Batch 709/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8104, Loss: 0.2536
Epoch 5 Batch 710/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8132, Loss: 0.2237
Epoch 5 Batch 711/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8203, Loss: 0.2724
Epoch 5 Batch 712/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8256, Loss: 0.2271
Epoch 5 Batch 713/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8221, Loss: 0.2079
Epoch 5 Batch 714/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8061, Loss: 0.2269
Epoch 5 Batch 715/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8093, Loss: 0.2550
Epoch 5 Batch 716/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8097, Loss: 0.2231
Epoch 5 Batch 717/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8082, Loss: 0.2263
Epoch 5 Batch 718/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8068, Loss: 0.2272
Epoch 5 Batch 719/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.8068, Loss: 0.2269
Epoch 5 Batch 720/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8072, Loss: 0.2437
Epoch 5 Batch 721/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8136, Loss: 0.2451
Epoch 5 Batch 722/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8107, Loss: 0.2168
Epoch 5 Batch 723/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8029, Loss: 0.2390
Epoch 5 Batch 724/1077 - Train Accuracy: 0.8076, Validation Accuracy: 0.8125, Loss: 0.2616
Epoch 5 Batch 725/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8161, Loss: 0.2055
Epoch 5 Batch 726/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8097, Loss: 0.2206
Epoch 5 Batch 727/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8089, Loss: 0.2341
Epoch 5 Batch 728/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8086, Loss: 0.2252
Epoch 5 Batch 729/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8050, Loss: 0.2593
Epoch 5 Batch 730/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8089, Loss: 0.2374
Epoch 5 Batch 731/1077 - Train Accuracy: 0.7872, Validation Accuracy: 0.8011, Loss: 0.2303
Epoch 5 Batch 732/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.7962, Loss: 0.2643
Epoch 5 Batch 733/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.7919, Loss: 0.2430
Epoch 5 Batch 734/1077 - Train Accuracy: 0.8487, Validation Accuracy: 0.8008, Loss: 0.2496
Epoch 5 Batch 735/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.7997, Loss: 0.2290
Epoch 5 Batch 736/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8050, Loss: 0.2149
Epoch 5 Batch 737/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8047, Loss: 0.2693
Epoch 5 Batch 738/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8129, Loss: 0.1999
Epoch 5 Batch 739/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8150, Loss: 0.2225
Epoch 5 Batch 740/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8089, Loss: 0.2330
Epoch 5 Batch 741/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8040, Loss: 0.2415
Epoch 5 Batch 742/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8136, Loss: 0.2385
Epoch 5 Batch 743/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8143, Loss: 0.2334
Epoch 5 Batch 744/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8132, Loss: 0.2143
Epoch 5 Batch 745/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8079, Loss: 0.2305
Epoch 5 Batch 746/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8033, Loss: 0.2325
Epoch 5 Batch 747/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8079, Loss: 0.2203
Epoch 5 Batch 748/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.8114, Loss: 0.2339
Epoch 5 Batch 749/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8139, Loss: 0.2350
Epoch 5 Batch 750/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8146, Loss: 0.2412
Epoch 5 Batch 751/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8161, Loss: 0.2494
Epoch 5 Batch 752/1077 - Train Accuracy: 0.8330, Validation Accuracy: 0.8139, Loss: 0.2010
Epoch 5 Batch 753/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8143, Loss: 0.2369
Epoch 5 Batch 754/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8125, Loss: 0.2428
Epoch 5 Batch 755/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8192, Loss: 0.2384
Epoch 5 Batch 756/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8221, Loss: 0.2257
Epoch 5 Batch 757/1077 - Train Accuracy: 0.8347, Validation Accuracy: 0.8104, Loss: 0.2480
Epoch 5 Batch 758/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8054, Loss: 0.2111
Epoch 5 Batch 759/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8065, Loss: 0.2264
Epoch 5 Batch 760/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8136, Loss: 0.2480
Epoch 5 Batch 761/1077 - Train Accuracy: 0.8158, Validation Accuracy: 0.8040, Loss: 0.2486
Epoch 5 Batch 762/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8004, Loss: 0.2261
Epoch 5 Batch 763/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8178, Loss: 0.2315
Epoch 5 Batch 764/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8182, Loss: 0.2588
Epoch 5 Batch 765/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8232, Loss: 0.2433
Epoch 5 Batch 766/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.8217, Loss: 0.2567
Epoch 5 Batch 767/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8178, Loss: 0.2204
Epoch 5 Batch 768/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8079, Loss: 0.2262
Epoch 5 Batch 769/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8058, Loss: 0.2335
Epoch 5 Batch 770/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.7962, Loss: 0.2269
Epoch 5 Batch 771/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.7947, Loss: 0.2786
Epoch 5 Batch 772/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.7955, Loss: 0.2273
Epoch 5 Batch 773/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.7901, Loss: 0.2473
Epoch 5 Batch 774/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.7969, Loss: 0.2356
Epoch 5 Batch 775/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.7951, Loss: 0.2337
Epoch 5 Batch 776/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8022, Loss: 0.2289
Epoch 5 Batch 777/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.7983, Loss: 0.2418
Epoch 5 Batch 778/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8047, Loss: 0.2133
Epoch 5 Batch 779/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.8033, Loss: 0.2426
Epoch 5 Batch 780/1077 - Train Accuracy: 0.7895, Validation Accuracy: 0.8125, Loss: 0.2834
Epoch 5 Batch 781/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8214, Loss: 0.1890
Epoch 5 Batch 782/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8203, Loss: 0.2382
Epoch 5 Batch 783/1077 - Train Accuracy: 0.8233, Validation Accuracy: 0.8228, Loss: 0.2386
Epoch 5 Batch 784/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8232, Loss: 0.2347
Epoch 5 Batch 785/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8228, Loss: 0.2184
Epoch 5 Batch 786/1077 - Train Accuracy: 0.7809, Validation Accuracy: 0.8153, Loss: 0.2206
Epoch 5 Batch 787/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8047, Loss: 0.2343
Epoch 5 Batch 788/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8107, Loss: 0.2137
Epoch 5 Batch 789/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8146, Loss: 0.2477
Epoch 5 Batch 790/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8178, Loss: 0.2433
Epoch 5 Batch 791/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8171, Loss: 0.2371
Epoch 5 Batch 792/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.8168, Loss: 0.2498
Epoch 5 Batch 793/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8175, Loss: 0.2102
Epoch 5 Batch 794/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.8146, Loss: 0.2200
Epoch 5 Batch 795/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.8104, Loss: 0.2535
Epoch 5 Batch 796/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8168, Loss: 0.2257
Epoch 5 Batch 797/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8171, Loss: 0.2259
Epoch 5 Batch 798/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8061, Loss: 0.2299
Epoch 5 Batch 799/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.7997, Loss: 0.2526
Epoch 5 Batch 800/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8043, Loss: 0.2488
Epoch 5 Batch 801/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.8111, Loss: 0.2422
Epoch 5 Batch 802/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.8075, Loss: 0.2432
Epoch 5 Batch 803/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8157, Loss: 0.2286
Epoch 5 Batch 804/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8178, Loss: 0.2186
Epoch 5 Batch 805/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8232, Loss: 0.2394
Epoch 5 Batch 806/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8232, Loss: 0.2287
Epoch 5 Batch 807/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8299, Loss: 0.2010
Epoch 5 Batch 808/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8267, Loss: 0.2350
Epoch 5 Batch 809/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.8242, Loss: 0.2630
Epoch 5 Batch 810/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.8271, Loss: 0.2083
Epoch 5 Batch 811/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8050, Loss: 0.2201
Epoch 5 Batch 812/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8093, Loss: 0.2327
Epoch 5 Batch 813/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.8079, Loss: 0.2370
Epoch 5 Batch 814/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8129, Loss: 0.2424
Epoch 5 Batch 815/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8164, Loss: 0.2292
Epoch 5 Batch 816/1077 - Train Accuracy: 0.8532, Validation Accuracy: 0.8143, Loss: 0.2579
Epoch 5 Batch 817/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8249, Loss: 0.2693
Epoch 5 Batch 818/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8224, Loss: 0.2342
Epoch 5 Batch 819/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8161, Loss: 0.2400
Epoch 5 Batch 820/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8249, Loss: 0.2425
Epoch 5 Batch 821/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8125, Loss: 0.2298
Epoch 5 Batch 822/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8040, Loss: 0.2400
Epoch 5 Batch 823/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.7990, Loss: 0.2424
Epoch 5 Batch 824/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8008, Loss: 0.2211
Epoch 5 Batch 825/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8015, Loss: 0.2419
Epoch 5 Batch 826/1077 - Train Accuracy: 0.8255, Validation Accuracy: 0.8043, Loss: 0.2137
Epoch 5 Batch 827/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8022, Loss: 0.2546
Epoch 5 Batch 828/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.8015, Loss: 0.2471
Epoch 5 Batch 829/1077 - Train Accuracy: 0.7902, Validation Accuracy: 0.8043, Loss: 0.2817
Epoch 5 Batch 830/1077 - Train Accuracy: 0.7926, Validation Accuracy: 0.8104, Loss: 0.2272
Epoch 5 Batch 831/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8050, Loss: 0.2596
Epoch 5 Batch 832/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8008, Loss: 0.2352
Epoch 5 Batch 833/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8054, Loss: 0.2300
Epoch 5 Batch 834/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8100, Loss: 0.2487
Epoch 5 Batch 835/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8168, Loss: 0.2433
Epoch 5 Batch 836/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8111, Loss: 0.2406
Epoch 5 Batch 837/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8033, Loss: 0.2607
Epoch 5 Batch 838/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8178, Loss: 0.2225
Epoch 5 Batch 839/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8118, Loss: 0.2161
Epoch 5 Batch 840/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8217, Loss: 0.2294
Epoch 5 Batch 841/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8228, Loss: 0.2531
Epoch 5 Batch 842/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8295, Loss: 0.2332
Epoch 5 Batch 843/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8306, Loss: 0.2234
Epoch 5 Batch 844/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8256, Loss: 0.2143
Epoch 5 Batch 845/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8310, Loss: 0.2405
Epoch 5 Batch 846/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8310, Loss: 0.2678
Epoch 5 Batch 847/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8306, Loss: 0.2518
Epoch 5 Batch 848/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8281, Loss: 0.2064
Epoch 5 Batch 849/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8285, Loss: 0.2181
Epoch 5 Batch 850/1077 - Train Accuracy: 0.8073, Validation Accuracy: 0.8292, Loss: 0.2449
Epoch 5 Batch 851/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8303, Loss: 0.2441
Epoch 5 Batch 852/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8303, Loss: 0.2628
Epoch 5 Batch 853/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8327, Loss: 0.2173
Epoch 5 Batch 854/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8246, Loss: 0.2441
Epoch 5 Batch 855/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8221, Loss: 0.2465
Epoch 5 Batch 856/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8210, Loss: 0.2341
Epoch 5 Batch 857/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8203, Loss: 0.2302
Epoch 5 Batch 858/1077 - Train Accuracy: 0.8296, Validation Accuracy: 0.8189, Loss: 0.2006
Epoch 5 Batch 859/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8200, Loss: 0.2388
Epoch 5 Batch 860/1077 - Train Accuracy: 0.8155, Validation Accuracy: 0.8224, Loss: 0.2338
Epoch 5 Batch 861/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8221, Loss: 0.2321
Epoch 5 Batch 862/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8303, Loss: 0.2407
Epoch 5 Batch 863/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8217, Loss: 0.2201
Epoch 5 Batch 864/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8164, Loss: 0.2130
Epoch 5 Batch 865/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8111, Loss: 0.2400
Epoch 5 Batch 866/1077 - Train Accuracy: 0.8397, Validation Accuracy: 0.8161, Loss: 0.2324
Epoch 5 Batch 867/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8079, Loss: 0.2883
Epoch 5 Batch 868/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8029, Loss: 0.2439
Epoch 5 Batch 869/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8168, Loss: 0.2267
Epoch 5 Batch 870/1077 - Train Accuracy: 0.7812, Validation Accuracy: 0.8207, Loss: 0.2508
Epoch 5 Batch 871/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8082, Loss: 0.2349
Epoch 5 Batch 872/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8121, Loss: 0.2157
Epoch 5 Batch 873/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8157, Loss: 0.2476
Epoch 5 Batch 874/1077 - Train Accuracy: 0.8031, Validation Accuracy: 0.8182, Loss: 0.2593
Epoch 5 Batch 875/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8214, Loss: 0.2531
Epoch 5 Batch 876/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8224, Loss: 0.2464
Epoch 5 Batch 877/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8232, Loss: 0.2381
Epoch 5 Batch 878/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8161, Loss: 0.2379
Epoch 5 Batch 879/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8150, Loss: 0.2244
Epoch 5 Batch 880/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8139, Loss: 0.2157
Epoch 5 Batch 881/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8136, Loss: 0.2409
Epoch 5 Batch 882/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8121, Loss: 0.2815
Epoch 5 Batch 883/1077 - Train Accuracy: 0.7800, Validation Accuracy: 0.8192, Loss: 0.2750
Epoch 5 Batch 884/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8164, Loss: 0.2369
Epoch 5 Batch 885/1077 - Train Accuracy: 0.8505, Validation Accuracy: 0.8161, Loss: 0.2173
Epoch 5 Batch 886/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8065, Loss: 0.2528
Epoch 5 Batch 887/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8008, Loss: 0.2724
Epoch 5 Batch 888/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8036, Loss: 0.2074
Epoch 5 Batch 889/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.8114, Loss: 0.2644
Epoch 5 Batch 890/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8129, Loss: 0.2167
Epoch 5 Batch 891/1077 - Train Accuracy: 0.8697, Validation Accuracy: 0.8139, Loss: 0.2445
Epoch 5 Batch 892/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8168, Loss: 0.2338
Epoch 5 Batch 893/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8182, Loss: 0.2283
Epoch 5 Batch 894/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8129, Loss: 0.2275
Epoch 5 Batch 895/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8129, Loss: 0.2328
Epoch 5 Batch 896/1077 - Train Accuracy: 0.7981, Validation Accuracy: 0.8168, Loss: 0.2609
Epoch 5 Batch 897/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8121, Loss: 0.1964
Epoch 5 Batch 898/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8079, Loss: 0.2169
Epoch 5 Batch 899/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8114, Loss: 0.2310
Epoch 5 Batch 900/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.7987, Loss: 0.2494
Epoch 5 Batch 901/1077 - Train Accuracy: 0.8385, Validation Accuracy: 0.8001, Loss: 0.2673
Epoch 5 Batch 902/1077 - Train Accuracy: 0.8147, Validation Accuracy: 0.7997, Loss: 0.2391
Epoch 5 Batch 903/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8061, Loss: 0.2322
Epoch 5 Batch 904/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8100, Loss: 0.2329
Epoch 5 Batch 905/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8086, Loss: 0.2251
Epoch 5 Batch 906/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8018, Loss: 0.2225
Epoch 5 Batch 907/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8047, Loss: 0.2227
Epoch 5 Batch 908/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8050, Loss: 0.2387
Epoch 5 Batch 909/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8058, Loss: 0.2256
Epoch 5 Batch 910/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8075, Loss: 0.2365
Epoch 5 Batch 911/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8125, Loss: 0.2263
Epoch 5 Batch 912/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.8114, Loss: 0.2221
Epoch 5 Batch 913/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8178, Loss: 0.2806
Epoch 5 Batch 914/1077 - Train Accuracy: 0.8587, Validation Accuracy: 0.8111, Loss: 0.2368
Epoch 5 Batch 915/1077 - Train Accuracy: 0.7993, Validation Accuracy: 0.8132, Loss: 0.2323
Epoch 5 Batch 916/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8104, Loss: 0.2427
Epoch 5 Batch 917/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8139, Loss: 0.2437
Epoch 5 Batch 918/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8214, Loss: 0.2238
Epoch 5 Batch 919/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8118, Loss: 0.2253
Epoch 5 Batch 920/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8065, Loss: 0.2469
Epoch 5 Batch 921/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8043, Loss: 0.2537
Epoch 5 Batch 922/1077 - Train Accuracy: 0.8304, Validation Accuracy: 0.8075, Loss: 0.2415
Epoch 5 Batch 923/1077 - Train Accuracy: 0.8442, Validation Accuracy: 0.8349, Loss: 0.2345
Epoch 5 Batch 924/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.8335, Loss: 0.2652
Epoch 5 Batch 925/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.8320, Loss: 0.2083
Epoch 5 Batch 926/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8239, Loss: 0.2420
Epoch 5 Batch 927/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8242, Loss: 0.2433
Epoch 5 Batch 928/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8320, Loss: 0.2466
Epoch 5 Batch 929/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8161, Loss: 0.2311
Epoch 5 Batch 930/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8182, Loss: 0.2264
Epoch 5 Batch 931/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8178, Loss: 0.2202
Epoch 5 Batch 932/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8171, Loss: 0.2248
Epoch 5 Batch 933/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8129, Loss: 0.2295
Epoch 5 Batch 934/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8125, Loss: 0.2358
Epoch 5 Batch 935/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8065, Loss: 0.2449
Epoch 5 Batch 936/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.7784, Loss: 0.2490
Epoch 5 Batch 937/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.7812, Loss: 0.2708
Epoch 5 Batch 938/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.7962, Loss: 0.2697
Epoch 5 Batch 939/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8001, Loss: 0.2413
Epoch 5 Batch 940/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8029, Loss: 0.2299
Epoch 5 Batch 941/1077 - Train Accuracy: 0.8519, Validation Accuracy: 0.8072, Loss: 0.2243
Epoch 5 Batch 942/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8065, Loss: 0.2364
Epoch 5 Batch 943/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8164, Loss: 0.2388
Epoch 5 Batch 944/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8242, Loss: 0.2195
Epoch 5 Batch 945/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8494, Loss: 0.2185
Epoch 5 Batch 946/1077 - Train Accuracy: 0.8573, Validation Accuracy: 0.8338, Loss: 0.2389
Epoch 5 Batch 947/1077 - Train Accuracy: 0.7989, Validation Accuracy: 0.8352, Loss: 0.2576
Epoch 5 Batch 948/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8295, Loss: 0.2247
Epoch 5 Batch 949/1077 - Train Accuracy: 0.8806, Validation Accuracy: 0.8281, Loss: 0.2080
Epoch 5 Batch 950/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.8143, Loss: 0.2273
Epoch 5 Batch 951/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8047, Loss: 0.2173
Epoch 5 Batch 952/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8111, Loss: 0.2072
Epoch 5 Batch 953/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8139, Loss: 0.2210
Epoch 5 Batch 954/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8086, Loss: 0.2441
Epoch 5 Batch 955/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8008, Loss: 0.2500
Epoch 5 Batch 956/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8001, Loss: 0.2475
Epoch 5 Batch 957/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.7965, Loss: 0.2217
Epoch 5 Batch 958/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8026, Loss: 0.2267
Epoch 5 Batch 959/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8022, Loss: 0.2147
Epoch 5 Batch 960/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8043, Loss: 0.2145
Epoch 5 Batch 961/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8104, Loss: 0.2259
Epoch 5 Batch 962/1077 - Train Accuracy: 0.8356, Validation Accuracy: 0.8185, Loss: 0.2144
Epoch 5 Batch 963/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8125, Loss: 0.2838
Epoch 5 Batch 964/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8125, Loss: 0.2111
Epoch 5 Batch 965/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8100, Loss: 0.2460
Epoch 5 Batch 966/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8267, Loss: 0.1962
Epoch 5 Batch 967/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8274, Loss: 0.2261
Epoch 5 Batch 968/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8256, Loss: 0.2650
Epoch 5 Batch 969/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8295, Loss: 0.2621
Epoch 5 Batch 970/1077 - Train Accuracy: 0.8801, Validation Accuracy: 0.8281, Loss: 0.2408
Epoch 5 Batch 971/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8402, Loss: 0.2281
Epoch 5 Batch 972/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8388, Loss: 0.2159
Epoch 5 Batch 973/1077 - Train Accuracy: 0.8947, Validation Accuracy: 0.8320, Loss: 0.2147
Epoch 5 Batch 974/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8278, Loss: 0.2083
Epoch 5 Batch 975/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8253, Loss: 0.2272
Epoch 5 Batch 976/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8161, Loss: 0.2089
Epoch 5 Batch 977/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.7915, Loss: 0.2196
Epoch 5 Batch 978/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.7979, Loss: 0.2472
Epoch 5 Batch 979/1077 - Train Accuracy: 0.8421, Validation Accuracy: 0.7972, Loss: 0.2482
Epoch 5 Batch 980/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.7983, Loss: 0.2175
Epoch 5 Batch 981/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8061, Loss: 0.2215
Epoch 5 Batch 982/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8178, Loss: 0.2327
Epoch 5 Batch 983/1077 - Train Accuracy: 0.7948, Validation Accuracy: 0.8278, Loss: 0.2568
Epoch 5 Batch 984/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8253, Loss: 0.2678
Epoch 5 Batch 985/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8136, Loss: 0.2239
Epoch 5 Batch 986/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8143, Loss: 0.2395
Epoch 5 Batch 987/1077 - Train Accuracy: 0.8103, Validation Accuracy: 0.8171, Loss: 0.2289
Epoch 5 Batch 988/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8168, Loss: 0.2367
Epoch 5 Batch 989/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8232, Loss: 0.2409
Epoch 5 Batch 990/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8278, Loss: 0.2644
Epoch 5 Batch 991/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8359, Loss: 0.2223
Epoch 5 Batch 992/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8303, Loss: 0.2195
Epoch 5 Batch 993/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8207, Loss: 0.1935
Epoch 5 Batch 994/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8249, Loss: 0.2399
Epoch 5 Batch 995/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.8303, Loss: 0.2341
Epoch 5 Batch 996/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8342, Loss: 0.2216
Epoch 5 Batch 997/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8469, Loss: 0.2440
Epoch 5 Batch 998/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8480, Loss: 0.2210
Epoch 5 Batch 999/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8512, Loss: 0.2381
Epoch 5 Batch 1000/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.8455, Loss: 0.2066
Epoch 5 Batch 1001/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8406, Loss: 0.1972
Epoch 5 Batch 1002/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8441, Loss: 0.2072
Epoch 5 Batch 1003/1077 - Train Accuracy: 0.8795, Validation Accuracy: 0.8366, Loss: 0.2266
Epoch 5 Batch 1004/1077 - Train Accuracy: 0.8855, Validation Accuracy: 0.8313, Loss: 0.2477
Epoch 5 Batch 1005/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8324, Loss: 0.2285
Epoch 5 Batch 1006/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8239, Loss: 0.2198
Epoch 5 Batch 1007/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8274, Loss: 0.2014
Epoch 5 Batch 1008/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8285, Loss: 0.2579
Epoch 5 Batch 1009/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8303, Loss: 0.2136
Epoch 5 Batch 1010/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8200, Loss: 0.2306
Epoch 5 Batch 1011/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8171, Loss: 0.2214
Epoch 5 Batch 1012/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8203, Loss: 0.2003
Epoch 5 Batch 1013/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8285, Loss: 0.2132
Epoch 5 Batch 1014/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8224, Loss: 0.2476
Epoch 5 Batch 1015/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8164, Loss: 0.2606
Epoch 5 Batch 1016/1077 - Train Accuracy: 0.8106, Validation Accuracy: 0.8157, Loss: 0.2381
Epoch 5 Batch 1017/1077 - Train Accuracy: 0.8483, Validation Accuracy: 0.8210, Loss: 0.2414
Epoch 5 Batch 1018/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.8136, Loss: 0.2067
Epoch 5 Batch 1019/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8146, Loss: 0.2595
Epoch 5 Batch 1020/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8086, Loss: 0.2393
Epoch 5 Batch 1021/1077 - Train Accuracy: 0.8185, Validation Accuracy: 0.8129, Loss: 0.2461
Epoch 5 Batch 1022/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.8043, Loss: 0.1989
Epoch 5 Batch 1023/1077 - Train Accuracy: 0.8580, Validation Accuracy: 0.8075, Loss: 0.2377
Epoch 5 Batch 1024/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8338, Loss: 0.2511
Epoch 5 Batch 1025/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8366, Loss: 0.2368
Epoch 5 Batch 1026/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8374, Loss: 0.2274
Epoch 5 Batch 1027/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8299, Loss: 0.2602
Epoch 5 Batch 1028/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8079, Loss: 0.2279
Epoch 5 Batch 1029/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8118, Loss: 0.2130
Epoch 5 Batch 1030/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8182, Loss: 0.2335
Epoch 5 Batch 1031/1077 - Train Accuracy: 0.8429, Validation Accuracy: 0.8267, Loss: 0.2507
Epoch 5 Batch 1032/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8320, Loss: 0.2607
Epoch 5 Batch 1033/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8317, Loss: 0.2338
Epoch 5 Batch 1034/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8374, Loss: 0.2393
Epoch 5 Batch 1035/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8420, Loss: 0.1974
Epoch 5 Batch 1036/1077 - Train Accuracy: 0.8218, Validation Accuracy: 0.8249, Loss: 0.2453
Epoch 5 Batch 1037/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8249, Loss: 0.2489
Epoch 5 Batch 1038/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8214, Loss: 0.2441
Epoch 5 Batch 1039/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8221, Loss: 0.2250
Epoch 5 Batch 1040/1077 - Train Accuracy: 0.8183, Validation Accuracy: 0.8047, Loss: 0.2649
Epoch 5 Batch 1041/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.7944, Loss: 0.2474
Epoch 5 Batch 1042/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8089, Loss: 0.2437
Epoch 5 Batch 1043/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8054, Loss: 0.2537
Epoch 5 Batch 1044/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8008, Loss: 0.2642
Epoch 5 Batch 1045/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.7990, Loss: 0.2296
Epoch 5 Batch 1046/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.7987, Loss: 0.1934
Epoch 5 Batch 1047/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.7915, Loss: 0.2273
Epoch 5 Batch 1048/1077 - Train Accuracy: 0.8141, Validation Accuracy: 0.8018, Loss: 0.2315
Epoch 5 Batch 1049/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8004, Loss: 0.2386
Epoch 5 Batch 1050/1077 - Train Accuracy: 0.7910, Validation Accuracy: 0.8043, Loss: 0.2281
Epoch 5 Batch 1051/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8033, Loss: 0.2258
Epoch 5 Batch 1052/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8079, Loss: 0.2151
Epoch 5 Batch 1053/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8118, Loss: 0.2381
Epoch 5 Batch 1054/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8082, Loss: 0.2234
Epoch 5 Batch 1055/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8075, Loss: 0.2359
Epoch 5 Batch 1056/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8029, Loss: 0.2058
Epoch 5 Batch 1057/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.8061, Loss: 0.2481
Epoch 5 Batch 1058/1077 - Train Accuracy: 0.8470, Validation Accuracy: 0.8026, Loss: 0.2579
Epoch 5 Batch 1059/1077 - Train Accuracy: 0.7821, Validation Accuracy: 0.8182, Loss: 0.2733
Epoch 5 Batch 1060/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8295, Loss: 0.2247
Epoch 5 Batch 1061/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8196, Loss: 0.2529
Epoch 5 Batch 1062/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8196, Loss: 0.2125
Epoch 5 Batch 1063/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8164, Loss: 0.2122
Epoch 5 Batch 1064/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8214, Loss: 0.2280
Epoch 5 Batch 1065/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8182, Loss: 0.2281
Epoch 5 Batch 1066/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8118, Loss: 0.2069
Epoch 5 Batch 1067/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8164, Loss: 0.2510
Epoch 5 Batch 1068/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8157, Loss: 0.2377
Epoch 5 Batch 1069/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8178, Loss: 0.2088
Epoch 5 Batch 1070/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8168, Loss: 0.2395
Epoch 5 Batch 1071/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8246, Loss: 0.2170
Epoch 5 Batch 1072/1077 - Train Accuracy: 0.8251, Validation Accuracy: 0.8089, Loss: 0.2322
Epoch 5 Batch 1073/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8093, Loss: 0.2332
Epoch 5 Batch 1074/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8125, Loss: 0.2544
Epoch 5 Batch 1075/1077 - Train Accuracy: 0.8450, Validation Accuracy: 0.8132, Loss: 0.2619
Epoch 6 Batch 1/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8164, Loss: 0.2201
Epoch 6 Batch 2/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.8168, Loss: 0.2299
Epoch 6 Batch 3/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8285, Loss: 0.2254
Epoch 6 Batch 4/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8310, Loss: 0.2290
Epoch 6 Batch 5/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8249, Loss: 0.2537
Epoch 6 Batch 6/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8242, Loss: 0.2448
Epoch 6 Batch 7/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8324, Loss: 0.2076
Epoch 6 Batch 8/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8310, Loss: 0.2294
Epoch 6 Batch 9/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8320, Loss: 0.2309
Epoch 6 Batch 10/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8285, Loss: 0.2422
Epoch 6 Batch 11/1077 - Train Accuracy: 0.7987, Validation Accuracy: 0.8207, Loss: 0.2566
Epoch 6 Batch 12/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8292, Loss: 0.2394
Epoch 6 Batch 13/1077 - Train Accuracy: 0.8333, Validation Accuracy: 0.8263, Loss: 0.2499
Epoch 6 Batch 14/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8306, Loss: 0.1835
Epoch 6 Batch 15/1077 - Train Accuracy: 0.8918, Validation Accuracy: 0.8256, Loss: 0.2120
Epoch 6 Batch 16/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8299, Loss: 0.2494
Epoch 6 Batch 17/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8185, Loss: 0.2109
Epoch 6 Batch 18/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8139, Loss: 0.2276
Epoch 6 Batch 19/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8143, Loss: 0.2477
Epoch 6 Batch 20/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8033, Loss: 0.2229
Epoch 6 Batch 21/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8061, Loss: 0.2458
Epoch 6 Batch 22/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7976, Loss: 0.2492
Epoch 6 Batch 23/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7983, Loss: 0.2162
Epoch 6 Batch 24/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.7969, Loss: 0.2178
Epoch 6 Batch 25/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8086, Loss: 0.2291
Epoch 6 Batch 26/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8182, Loss: 0.2353
Epoch 6 Batch 27/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8345, Loss: 0.2103
Epoch 6 Batch 28/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8359, Loss: 0.2291
Epoch 6 Batch 29/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8452, Loss: 0.2349
Epoch 6 Batch 30/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8455, Loss: 0.2192
Epoch 6 Batch 31/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8441, Loss: 0.2327
Epoch 6 Batch 32/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.8295, Loss: 0.2242
Epoch 6 Batch 33/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8303, Loss: 0.2189
Epoch 6 Batch 34/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8132, Loss: 0.2092
Epoch 6 Batch 35/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8121, Loss: 0.2247
Epoch 6 Batch 36/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8192, Loss: 0.2275
Epoch 6 Batch 37/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8228, Loss: 0.2309
Epoch 6 Batch 38/1077 - Train Accuracy: 0.8174, Validation Accuracy: 0.8200, Loss: 0.2425
Epoch 6 Batch 39/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8132, Loss: 0.2657
Epoch 6 Batch 40/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8040, Loss: 0.2356
Epoch 6 Batch 41/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8079, Loss: 0.2061
Epoch 6 Batch 42/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8104, Loss: 0.2364
Epoch 6 Batch 43/1077 - Train Accuracy: 0.8569, Validation Accuracy: 0.8118, Loss: 0.2171
Epoch 6 Batch 44/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8249, Loss: 0.2472
Epoch 6 Batch 45/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8281, Loss: 0.2280
Epoch 6 Batch 46/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8260, Loss: 0.2495
Epoch 6 Batch 47/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8267, Loss: 0.2231
Epoch 6 Batch 48/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8182, Loss: 0.2563
Epoch 6 Batch 49/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.8224, Loss: 0.2422
Epoch 6 Batch 50/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8274, Loss: 0.2193
Epoch 6 Batch 51/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8263, Loss: 0.2531
Epoch 6 Batch 52/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8207, Loss: 0.2407
Epoch 6 Batch 53/1077 - Train Accuracy: 0.8002, Validation Accuracy: 0.8185, Loss: 0.2326
Epoch 6 Batch 54/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8267, Loss: 0.2800
Epoch 6 Batch 55/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8295, Loss: 0.2293
Epoch 6 Batch 56/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8178, Loss: 0.2061
Epoch 6 Batch 57/1077 - Train Accuracy: 0.8182, Validation Accuracy: 0.8082, Loss: 0.2176
Epoch 6 Batch 58/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8182, Loss: 0.2259
Epoch 6 Batch 59/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8136, Loss: 0.2377
Epoch 6 Batch 60/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8249, Loss: 0.2268
Epoch 6 Batch 61/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8196, Loss: 0.2453
Epoch 6 Batch 62/1077 - Train Accuracy: 0.8261, Validation Accuracy: 0.8242, Loss: 0.2259
Epoch 6 Batch 63/1077 - Train Accuracy: 0.8519, Validation Accuracy: 0.8306, Loss: 0.2152
Epoch 6 Batch 64/1077 - Train Accuracy: 0.7996, Validation Accuracy: 0.8285, Loss: 0.2293
Epoch 6 Batch 65/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8249, Loss: 0.2223
Epoch 6 Batch 66/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8356, Loss: 0.1997
Epoch 6 Batch 67/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8263, Loss: 0.2231
Epoch 6 Batch 68/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8320, Loss: 0.2322
Epoch 6 Batch 69/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8327, Loss: 0.2603
Epoch 6 Batch 70/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.8278, Loss: 0.2383
Epoch 6 Batch 71/1077 - Train Accuracy: 0.8914, Validation Accuracy: 0.8274, Loss: 0.1975
Epoch 6 Batch 72/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8263, Loss: 0.2298
Epoch 6 Batch 73/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8267, Loss: 0.2234
Epoch 6 Batch 74/1077 - Train Accuracy: 0.8188, Validation Accuracy: 0.8239, Loss: 0.2137
Epoch 6 Batch 75/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8260, Loss: 0.2550
Epoch 6 Batch 76/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8281, Loss: 0.2243
Epoch 6 Batch 77/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8239, Loss: 0.2184
Epoch 6 Batch 78/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8246, Loss: 0.2357
Epoch 6 Batch 79/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8246, Loss: 0.2333
Epoch 6 Batch 80/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8427, Loss: 0.2084
Epoch 6 Batch 81/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8423, Loss: 0.2338
Epoch 6 Batch 82/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8423, Loss: 0.1918
Epoch 6 Batch 83/1077 - Train Accuracy: 0.8507, Validation Accuracy: 0.8448, Loss: 0.2250
Epoch 6 Batch 84/1077 - Train Accuracy: 0.9000, Validation Accuracy: 0.8445, Loss: 0.2351
Epoch 6 Batch 85/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8477, Loss: 0.2199
Epoch 6 Batch 86/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8402, Loss: 0.2355
Epoch 6 Batch 87/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8377, Loss: 0.2548
Epoch 6 Batch 88/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8388, Loss: 0.2517
Epoch 6 Batch 89/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8320, Loss: 0.2341
Epoch 6 Batch 90/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.8327, Loss: 0.2596
Epoch 6 Batch 91/1077 - Train Accuracy: 0.8802, Validation Accuracy: 0.8388, Loss: 0.2018
Epoch 6 Batch 92/1077 - Train Accuracy: 0.8259, Validation Accuracy: 0.8391, Loss: 0.2215
Epoch 6 Batch 93/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8406, Loss: 0.2388
Epoch 6 Batch 94/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8462, Loss: 0.2164
Epoch 6 Batch 95/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8462, Loss: 0.2414
Epoch 6 Batch 96/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8469, Loss: 0.2161
Epoch 6 Batch 97/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8409, Loss: 0.2347
Epoch 6 Batch 98/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8477, Loss: 0.2213
Epoch 6 Batch 99/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8423, Loss: 0.2531
Epoch 6 Batch 100/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8359, Loss: 0.2263
Epoch 6 Batch 101/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8299, Loss: 0.2150
Epoch 6 Batch 102/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8217, Loss: 0.2200
Epoch 6 Batch 103/1077 - Train Accuracy: 0.8269, Validation Accuracy: 0.8171, Loss: 0.2539
Epoch 6 Batch 104/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8388, Loss: 0.2511
Epoch 6 Batch 105/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8274, Loss: 0.2107
Epoch 6 Batch 106/1077 - Train Accuracy: 0.8450, Validation Accuracy: 0.8217, Loss: 0.2721
Epoch 6 Batch 107/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8310, Loss: 0.2251
Epoch 6 Batch 108/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8349, Loss: 0.2059
Epoch 6 Batch 109/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8345, Loss: 0.2413
Epoch 6 Batch 110/1077 - Train Accuracy: 0.8785, Validation Accuracy: 0.8331, Loss: 0.2090
Epoch 6 Batch 111/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8345, Loss: 0.2155
Epoch 6 Batch 112/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8256, Loss: 0.2152
Epoch 6 Batch 113/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8221, Loss: 0.2466
Epoch 6 Batch 114/1077 - Train Accuracy: 0.8873, Validation Accuracy: 0.8249, Loss: 0.2023
Epoch 6 Batch 115/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8182, Loss: 0.2264
Epoch 6 Batch 116/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.8249, Loss: 0.2414
Epoch 6 Batch 117/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8256, Loss: 0.2159
Epoch 6 Batch 118/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8274, Loss: 0.2212
Epoch 6 Batch 119/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8306, Loss: 0.2183
Epoch 6 Batch 120/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8242, Loss: 0.2693
Epoch 6 Batch 121/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8303, Loss: 0.2292
Epoch 6 Batch 122/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8303, Loss: 0.2167
Epoch 6 Batch 123/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8313, Loss: 0.2037
Epoch 6 Batch 124/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8306, Loss: 0.2524
Epoch 6 Batch 125/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8310, Loss: 0.2199
Epoch 6 Batch 126/1077 - Train Accuracy: 0.8876, Validation Accuracy: 0.8324, Loss: 0.2152
Epoch 6 Batch 127/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8292, Loss: 0.2319
Epoch 6 Batch 128/1077 - Train Accuracy: 0.8880, Validation Accuracy: 0.8427, Loss: 0.1994
Epoch 6 Batch 129/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8409, Loss: 0.2184
Epoch 6 Batch 130/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8420, Loss: 0.2131
Epoch 6 Batch 131/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8466, Loss: 0.2178
Epoch 6 Batch 132/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8303, Loss: 0.2335
Epoch 6 Batch 133/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8246, Loss: 0.2155
Epoch 6 Batch 134/1077 - Train Accuracy: 0.8638, Validation Accuracy: 0.8221, Loss: 0.2262
Epoch 6 Batch 135/1077 - Train Accuracy: 0.8343, Validation Accuracy: 0.8203, Loss: 0.2186
Epoch 6 Batch 136/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8228, Loss: 0.2083
Epoch 6 Batch 137/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8161, Loss: 0.1891
Epoch 6 Batch 138/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8271, Loss: 0.2133
Epoch 6 Batch 139/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8267, Loss: 0.2063
Epoch 6 Batch 140/1077 - Train Accuracy: 0.8499, Validation Accuracy: 0.8263, Loss: 0.2297
Epoch 6 Batch 141/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8168, Loss: 0.2301
Epoch 6 Batch 142/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8136, Loss: 0.2153
Epoch 6 Batch 143/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8143, Loss: 0.2275
Epoch 6 Batch 144/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8239, Loss: 0.2598
Epoch 6 Batch 145/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8260, Loss: 0.2306
Epoch 6 Batch 146/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.8263, Loss: 0.2656
Epoch 6 Batch 147/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8271, Loss: 0.2435
Epoch 6 Batch 148/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8295, Loss: 0.2366
Epoch 6 Batch 149/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8203, Loss: 0.2320
Epoch 6 Batch 150/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8221, Loss: 0.2352
Epoch 6 Batch 151/1077 - Train Accuracy: 0.8304, Validation Accuracy: 0.8263, Loss: 0.2224
Epoch 6 Batch 152/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8306, Loss: 0.2475
Epoch 6 Batch 153/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8232, Loss: 0.2561
Epoch 6 Batch 154/1077 - Train Accuracy: 0.8618, Validation Accuracy: 0.8278, Loss: 0.2230
Epoch 6 Batch 155/1077 - Train Accuracy: 0.8980, Validation Accuracy: 0.8331, Loss: 0.2260
Epoch 6 Batch 156/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8327, Loss: 0.2150
Epoch 6 Batch 157/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8324, Loss: 0.2512
Epoch 6 Batch 158/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8366, Loss: 0.2396
Epoch 6 Batch 159/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.8388, Loss: 0.2048
Epoch 6 Batch 160/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8420, Loss: 0.1994
Epoch 6 Batch 161/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8509, Loss: 0.2086
Epoch 6 Batch 162/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8469, Loss: 0.2535
Epoch 6 Batch 163/1077 - Train Accuracy: 0.8544, Validation Accuracy: 0.8441, Loss: 0.2633
Epoch 6 Batch 164/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8306, Loss: 0.2287
Epoch 6 Batch 165/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8356, Loss: 0.2189
Epoch 6 Batch 166/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8374, Loss: 0.2522
Epoch 6 Batch 167/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8388, Loss: 0.2470
Epoch 6 Batch 168/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8345, Loss: 0.2581
Epoch 6 Batch 169/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8278, Loss: 0.2376
Epoch 6 Batch 170/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8349, Loss: 0.2333
Epoch 6 Batch 171/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8391, Loss: 0.2243
Epoch 6 Batch 172/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8299, Loss: 0.1976
Epoch 6 Batch 173/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.8313, Loss: 0.2575
Epoch 6 Batch 174/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8313, Loss: 0.2253
Epoch 6 Batch 175/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8246, Loss: 0.2352
Epoch 6 Batch 176/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8200, Loss: 0.2314
Epoch 6 Batch 177/1077 - Train Accuracy: 0.8561, Validation Accuracy: 0.8249, Loss: 0.2375
Epoch 6 Batch 178/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8200, Loss: 0.2424
Epoch 6 Batch 179/1077 - Train Accuracy: 0.8573, Validation Accuracy: 0.8278, Loss: 0.2295
Epoch 6 Batch 180/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8306, Loss: 0.2233
Epoch 6 Batch 181/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8281, Loss: 0.2500
Epoch 6 Batch 182/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.8306, Loss: 0.2474
Epoch 6 Batch 183/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8303, Loss: 0.2517
Epoch 6 Batch 184/1077 - Train Accuracy: 0.8848, Validation Accuracy: 0.8306, Loss: 0.2185
Epoch 6 Batch 185/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8324, Loss: 0.2450
Epoch 6 Batch 186/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.8295, Loss: 0.2429
Epoch 6 Batch 187/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8217, Loss: 0.2170
Epoch 6 Batch 188/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8249, Loss: 0.2233
Epoch 6 Batch 189/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8278, Loss: 0.2265
Epoch 6 Batch 190/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8299, Loss: 0.2182
Epoch 6 Batch 191/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8313, Loss: 0.1959
Epoch 6 Batch 192/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8388, Loss: 0.2529
Epoch 6 Batch 193/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8423, Loss: 0.2007
Epoch 6 Batch 194/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8352, Loss: 0.2018
Epoch 6 Batch 195/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8303, Loss: 0.2182
Epoch 6 Batch 196/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8263, Loss: 0.2230
Epoch 6 Batch 197/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8271, Loss: 0.2335
Epoch 6 Batch 198/1077 - Train Accuracy: 0.8884, Validation Accuracy: 0.8281, Loss: 0.2102
Epoch 6 Batch 199/1077 - Train Accuracy: 0.8801, Validation Accuracy: 0.8274, Loss: 0.2008
Epoch 6 Batch 200/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8232, Loss: 0.2431
Epoch 6 Batch 201/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8200, Loss: 0.1792
Epoch 6 Batch 202/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8242, Loss: 0.2294
Epoch 6 Batch 203/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8384, Loss: 0.2255
Epoch 6 Batch 204/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8331, Loss: 0.2647
Epoch 6 Batch 205/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8285, Loss: 0.2323
Epoch 6 Batch 206/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8388, Loss: 0.2201
Epoch 6 Batch 207/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8313, Loss: 0.2144
Epoch 6 Batch 208/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.8317, Loss: 0.2225
Epoch 6 Batch 209/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8157, Loss: 0.2049
Epoch 6 Batch 210/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8143, Loss: 0.2259
Epoch 6 Batch 211/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8182, Loss: 0.2029
Epoch 6 Batch 212/1077 - Train Accuracy: 0.8545, Validation Accuracy: 0.8136, Loss: 0.1919
Epoch 6 Batch 213/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8263, Loss: 0.1964
Epoch 6 Batch 214/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8260, Loss: 0.2096
Epoch 6 Batch 215/1077 - Train Accuracy: 0.8082, Validation Accuracy: 0.8221, Loss: 0.2309
Epoch 6 Batch 216/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8256, Loss: 0.2354
Epoch 6 Batch 217/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8306, Loss: 0.2094
Epoch 6 Batch 218/1077 - Train Accuracy: 0.8368, Validation Accuracy: 0.8327, Loss: 0.2627
Epoch 6 Batch 219/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8324, Loss: 0.2204
Epoch 6 Batch 220/1077 - Train Accuracy: 0.8606, Validation Accuracy: 0.8242, Loss: 0.2271
Epoch 6 Batch 221/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8246, Loss: 0.2262
Epoch 6 Batch 222/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8313, Loss: 0.2223
Epoch 6 Batch 223/1077 - Train Accuracy: 0.8951, Validation Accuracy: 0.8388, Loss: 0.1953
Epoch 6 Batch 224/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8310, Loss: 0.2381
Epoch 6 Batch 225/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8310, Loss: 0.2418
Epoch 6 Batch 226/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8342, Loss: 0.1958
Epoch 6 Batch 227/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8185, Loss: 0.2571
Epoch 6 Batch 228/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8182, Loss: 0.2262
Epoch 6 Batch 229/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8192, Loss: 0.2218
Epoch 6 Batch 230/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8249, Loss: 0.2070
Epoch 6 Batch 231/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8299, Loss: 0.2349
Epoch 6 Batch 232/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8299, Loss: 0.2251
Epoch 6 Batch 233/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8324, Loss: 0.2621
Epoch 6 Batch 234/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.8210, Loss: 0.2329
Epoch 6 Batch 235/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8171, Loss: 0.2109
Epoch 6 Batch 236/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8171, Loss: 0.2341
Epoch 6 Batch 237/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8161, Loss: 0.1971
Epoch 6 Batch 238/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8132, Loss: 0.2219
Epoch 6 Batch 239/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8171, Loss: 0.2054
Epoch 6 Batch 240/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8189, Loss: 0.2204
Epoch 6 Batch 241/1077 - Train Accuracy: 0.8938, Validation Accuracy: 0.8196, Loss: 0.2035
Epoch 6 Batch 242/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8175, Loss: 0.1912
Epoch 6 Batch 243/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8235, Loss: 0.2272
Epoch 6 Batch 244/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8313, Loss: 0.2117
Epoch 6 Batch 245/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8256, Loss: 0.2167
Epoch 6 Batch 246/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8175, Loss: 0.2010
Epoch 6 Batch 247/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8136, Loss: 0.2025
Epoch 6 Batch 248/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8175, Loss: 0.2156
Epoch 6 Batch 249/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8178, Loss: 0.2273
Epoch 6 Batch 250/1077 - Train Accuracy: 0.8331, Validation Accuracy: 0.8157, Loss: 0.2187
Epoch 6 Batch 251/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8196, Loss: 0.2188
Epoch 6 Batch 252/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8232, Loss: 0.2328
Epoch 6 Batch 253/1077 - Train Accuracy: 0.8654, Validation Accuracy: 0.8239, Loss: 0.2310
Epoch 6 Batch 254/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8242, Loss: 0.2302
Epoch 6 Batch 255/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8192, Loss: 0.2257
Epoch 6 Batch 256/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8203, Loss: 0.2619
Epoch 6 Batch 257/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8114, Loss: 0.2229
Epoch 6 Batch 258/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8210, Loss: 0.2206
Epoch 6 Batch 259/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8232, Loss: 0.2263
Epoch 6 Batch 260/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8249, Loss: 0.2113
Epoch 6 Batch 261/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8292, Loss: 0.2237
Epoch 6 Batch 262/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8342, Loss: 0.1986
Epoch 6 Batch 263/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8327, Loss: 0.2201
Epoch 6 Batch 264/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8356, Loss: 0.2293
Epoch 6 Batch 265/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8409, Loss: 0.2219
Epoch 6 Batch 266/1077 - Train Accuracy: 0.8497, Validation Accuracy: 0.8438, Loss: 0.2368
Epoch 6 Batch 267/1077 - Train Accuracy: 0.8853, Validation Accuracy: 0.8416, Loss: 0.2101
Epoch 6 Batch 268/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8420, Loss: 0.2329
Epoch 6 Batch 269/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8477, Loss: 0.2518
Epoch 6 Batch 270/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8452, Loss: 0.2510
Epoch 6 Batch 271/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8494, Loss: 0.2182
Epoch 6 Batch 272/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8445, Loss: 0.2723
Epoch 6 Batch 273/1077 - Train Accuracy: 0.8248, Validation Accuracy: 0.8551, Loss: 0.2190
Epoch 6 Batch 274/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.8480, Loss: 0.2159
Epoch 6 Batch 275/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8491, Loss: 0.2157
Epoch 6 Batch 276/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8430, Loss: 0.2617
Epoch 6 Batch 277/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8288, Loss: 0.2007
Epoch 6 Batch 278/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8232, Loss: 0.2664
Epoch 6 Batch 279/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8239, Loss: 0.2501
Epoch 6 Batch 280/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8217, Loss: 0.2218
Epoch 6 Batch 281/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8239, Loss: 0.2333
Epoch 6 Batch 282/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.8189, Loss: 0.2734
Epoch 6 Batch 283/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8263, Loss: 0.2419
Epoch 6 Batch 284/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8146, Loss: 0.2544
Epoch 6 Batch 285/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8185, Loss: 0.2336
Epoch 6 Batch 286/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8132, Loss: 0.2178
Epoch 6 Batch 287/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8146, Loss: 0.2264
Epoch 6 Batch 288/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8143, Loss: 0.2212
Epoch 6 Batch 289/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8171, Loss: 0.2356
Epoch 6 Batch 290/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8235, Loss: 0.2589
Epoch 6 Batch 291/1077 - Train Accuracy: 0.8058, Validation Accuracy: 0.8356, Loss: 0.2607
Epoch 6 Batch 292/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8342, Loss: 0.2210
Epoch 6 Batch 293/1077 - Train Accuracy: 0.7949, Validation Accuracy: 0.8359, Loss: 0.2442
Epoch 6 Batch 294/1077 - Train Accuracy: 0.8768, Validation Accuracy: 0.8374, Loss: 0.2275
Epoch 6 Batch 295/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8374, Loss: 0.2677
Epoch 6 Batch 296/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8274, Loss: 0.2204
Epoch 6 Batch 297/1077 - Train Accuracy: 0.7871, Validation Accuracy: 0.8278, Loss: 0.2671
Epoch 6 Batch 298/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8313, Loss: 0.2584
Epoch 6 Batch 299/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8349, Loss: 0.2246
Epoch 6 Batch 300/1077 - Train Accuracy: 0.8701, Validation Accuracy: 0.8398, Loss: 0.2266
Epoch 6 Batch 301/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8366, Loss: 0.1959
Epoch 6 Batch 302/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8335, Loss: 0.2292
Epoch 6 Batch 303/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8342, Loss: 0.2254
Epoch 6 Batch 304/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8288, Loss: 0.2232
Epoch 6 Batch 305/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8342, Loss: 0.2298
Epoch 6 Batch 306/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8352, Loss: 0.2249
Epoch 6 Batch 307/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8281, Loss: 0.2240
Epoch 6 Batch 308/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8161, Loss: 0.2548
Epoch 6 Batch 309/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8210, Loss: 0.2053
Epoch 6 Batch 310/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8256, Loss: 0.2431
Epoch 6 Batch 311/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8391, Loss: 0.2054
Epoch 6 Batch 312/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.8320, Loss: 0.2363
Epoch 6 Batch 313/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8363, Loss: 0.1878
Epoch 6 Batch 314/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8398, Loss: 0.2205
Epoch 6 Batch 315/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8313, Loss: 0.2104
Epoch 6 Batch 316/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.8210, Loss: 0.2239
Epoch 6 Batch 317/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8189, Loss: 0.2550
Epoch 6 Batch 318/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8171, Loss: 0.2190
Epoch 6 Batch 319/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8221, Loss: 0.2448
Epoch 6 Batch 320/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8168, Loss: 0.2231
Epoch 6 Batch 321/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8164, Loss: 0.2295
Epoch 6 Batch 322/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.8207, Loss: 0.1915
Epoch 6 Batch 323/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8214, Loss: 0.2177
Epoch 6 Batch 324/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8228, Loss: 0.2136
Epoch 6 Batch 325/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8235, Loss: 0.2169
Epoch 6 Batch 326/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.8224, Loss: 0.2145
Epoch 6 Batch 327/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8281, Loss: 0.2498
Epoch 6 Batch 328/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8175, Loss: 0.2397
Epoch 6 Batch 329/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8228, Loss: 0.2335
Epoch 6 Batch 330/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8239, Loss: 0.2472
Epoch 6 Batch 331/1077 - Train Accuracy: 0.8528, Validation Accuracy: 0.8192, Loss: 0.2310
Epoch 6 Batch 332/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8249, Loss: 0.1946
Epoch 6 Batch 333/1077 - Train Accuracy: 0.9153, Validation Accuracy: 0.8448, Loss: 0.2276
Epoch 6 Batch 334/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8530, Loss: 0.2247
Epoch 6 Batch 335/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8519, Loss: 0.2112
Epoch 6 Batch 336/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8374, Loss: 0.2613
Epoch 6 Batch 337/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8519, Loss: 0.2227
Epoch 6 Batch 338/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8558, Loss: 0.2530
Epoch 6 Batch 339/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8473, Loss: 0.2164
Epoch 6 Batch 340/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8505, Loss: 0.2422
Epoch 6 Batch 341/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8345, Loss: 0.2600
Epoch 6 Batch 342/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8278, Loss: 0.2021
Epoch 6 Batch 343/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8200, Loss: 0.2145
Epoch 6 Batch 344/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8107, Loss: 0.2222
Epoch 6 Batch 345/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8114, Loss: 0.2128
Epoch 6 Batch 346/1077 - Train Accuracy: 0.8078, Validation Accuracy: 0.8079, Loss: 0.2474
Epoch 6 Batch 347/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8153, Loss: 0.2101
Epoch 6 Batch 348/1077 - Train Accuracy: 0.8274, Validation Accuracy: 0.8285, Loss: 0.2147
Epoch 6 Batch 349/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8324, Loss: 0.2229
Epoch 6 Batch 350/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8306, Loss: 0.2491
Epoch 6 Batch 351/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8214, Loss: 0.2345
Epoch 6 Batch 352/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8263, Loss: 0.2293
Epoch 6 Batch 353/1077 - Train Accuracy: 0.8146, Validation Accuracy: 0.8363, Loss: 0.2671
Epoch 6 Batch 354/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8395, Loss: 0.2398
Epoch 6 Batch 355/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8445, Loss: 0.2302
Epoch 6 Batch 356/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8327, Loss: 0.2325
Epoch 6 Batch 357/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8345, Loss: 0.2183
Epoch 6 Batch 358/1077 - Train Accuracy: 0.7784, Validation Accuracy: 0.8306, Loss: 0.2570
Epoch 6 Batch 359/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8253, Loss: 0.2265
Epoch 6 Batch 360/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8352, Loss: 0.2306
Epoch 6 Batch 361/1077 - Train Accuracy: 0.8849, Validation Accuracy: 0.8359, Loss: 0.2397
Epoch 6 Batch 362/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8345, Loss: 0.2071
Epoch 6 Batch 363/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8317, Loss: 0.2335
Epoch 6 Batch 364/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8320, Loss: 0.2401
Epoch 6 Batch 365/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8271, Loss: 0.2026
Epoch 6 Batch 366/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8249, Loss: 0.2116
Epoch 6 Batch 367/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.8228, Loss: 0.2055
Epoch 6 Batch 368/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8320, Loss: 0.2439
Epoch 6 Batch 369/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8303, Loss: 0.2326
Epoch 6 Batch 370/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8214, Loss: 0.2440
Epoch 6 Batch 371/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8157, Loss: 0.2027
Epoch 6 Batch 372/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8118, Loss: 0.2242
Epoch 6 Batch 373/1077 - Train Accuracy: 0.8806, Validation Accuracy: 0.8210, Loss: 0.1993
Epoch 6 Batch 374/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8242, Loss: 0.2583
Epoch 6 Batch 375/1077 - Train Accuracy: 0.8494, Validation Accuracy: 0.8249, Loss: 0.2221
Epoch 6 Batch 376/1077 - Train Accuracy: 0.8675, Validation Accuracy: 0.8207, Loss: 0.2275
Epoch 6 Batch 377/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8171, Loss: 0.2318
Epoch 6 Batch 378/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8192, Loss: 0.2191
Epoch 6 Batch 379/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8292, Loss: 0.2528
Epoch 6 Batch 380/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8398, Loss: 0.2183
Epoch 6 Batch 381/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8406, Loss: 0.2438
Epoch 6 Batch 382/1077 - Train Accuracy: 0.8054, Validation Accuracy: 0.8491, Loss: 0.2751
Epoch 6 Batch 383/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8477, Loss: 0.2150
Epoch 6 Batch 384/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8441, Loss: 0.2218
Epoch 6 Batch 385/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8452, Loss: 0.2019
Epoch 6 Batch 386/1077 - Train Accuracy: 0.8497, Validation Accuracy: 0.8459, Loss: 0.2283
Epoch 6 Batch 387/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8377, Loss: 0.2317
Epoch 6 Batch 388/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8395, Loss: 0.2085
Epoch 6 Batch 389/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8398, Loss: 0.2338
Epoch 6 Batch 390/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8398, Loss: 0.2608
Epoch 6 Batch 391/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8445, Loss: 0.2216
Epoch 6 Batch 392/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8434, Loss: 0.2248
Epoch 6 Batch 393/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8430, Loss: 0.2214
Epoch 6 Batch 394/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8430, Loss: 0.2123
Epoch 6 Batch 395/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8473, Loss: 0.2233
Epoch 6 Batch 396/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8427, Loss: 0.2293
Epoch 6 Batch 397/1077 - Train Accuracy: 0.8847, Validation Accuracy: 0.8462, Loss: 0.2280
Epoch 6 Batch 398/1077 - Train Accuracy: 0.8491, Validation Accuracy: 0.8331, Loss: 0.2396
Epoch 6 Batch 399/1077 - Train Accuracy: 0.8261, Validation Accuracy: 0.8306, Loss: 0.2562
Epoch 6 Batch 400/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8281, Loss: 0.2461
Epoch 6 Batch 401/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8217, Loss: 0.2093
Epoch 6 Batch 402/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8288, Loss: 0.2356
Epoch 6 Batch 403/1077 - Train Accuracy: 0.8020, Validation Accuracy: 0.8214, Loss: 0.2577
Epoch 6 Batch 404/1077 - Train Accuracy: 0.9081, Validation Accuracy: 0.8263, Loss: 0.1916
Epoch 6 Batch 405/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8235, Loss: 0.2399
Epoch 6 Batch 406/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8232, Loss: 0.2269
Epoch 6 Batch 407/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8320, Loss: 0.2578
Epoch 6 Batch 408/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8395, Loss: 0.2316
Epoch 6 Batch 409/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8278, Loss: 0.2438
Epoch 6 Batch 410/1077 - Train Accuracy: 0.8178, Validation Accuracy: 0.8288, Loss: 0.2483
Epoch 6 Batch 411/1077 - Train Accuracy: 0.8482, Validation Accuracy: 0.8324, Loss: 0.2390
Epoch 6 Batch 412/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8285, Loss: 0.1874
Epoch 6 Batch 413/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8281, Loss: 0.2073
Epoch 6 Batch 414/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8260, Loss: 0.2271
Epoch 6 Batch 415/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8338, Loss: 0.2326
Epoch 6 Batch 416/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8335, Loss: 0.2224
Epoch 6 Batch 417/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8242, Loss: 0.2474
Epoch 6 Batch 418/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8214, Loss: 0.2117
Epoch 6 Batch 419/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8182, Loss: 0.2099
Epoch 6 Batch 420/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8228, Loss: 0.2269
Epoch 6 Batch 421/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8224, Loss: 0.2595
Epoch 6 Batch 422/1077 - Train Accuracy: 0.8341, Validation Accuracy: 0.8185, Loss: 0.1972
Epoch 6 Batch 423/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8146, Loss: 0.2218
Epoch 6 Batch 424/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8185, Loss: 0.2380
Epoch 6 Batch 425/1077 - Train Accuracy: 0.8575, Validation Accuracy: 0.8125, Loss: 0.2081
Epoch 6 Batch 426/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8129, Loss: 0.2557
Epoch 6 Batch 427/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.8114, Loss: 0.2080
Epoch 6 Batch 428/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8114, Loss: 0.2207
Epoch 6 Batch 429/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8246, Loss: 0.2046
Epoch 6 Batch 430/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8121, Loss: 0.2123
Epoch 6 Batch 431/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8196, Loss: 0.1970
Epoch 6 Batch 432/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8239, Loss: 0.2063
Epoch 6 Batch 433/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8100, Loss: 0.2324
Epoch 6 Batch 434/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8146, Loss: 0.2191
Epoch 6 Batch 435/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8061, Loss: 0.2264
Epoch 6 Batch 436/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8054, Loss: 0.2227
Epoch 6 Batch 437/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8043, Loss: 0.2065
Epoch 6 Batch 438/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8022, Loss: 0.2006
Epoch 6 Batch 439/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8132, Loss: 0.2414
Epoch 6 Batch 440/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8263, Loss: 0.2351
Epoch 6 Batch 441/1077 - Train Accuracy: 0.8008, Validation Accuracy: 0.8253, Loss: 0.2314
Epoch 6 Batch 442/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8285, Loss: 0.2148
Epoch 6 Batch 443/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8303, Loss: 0.2099
Epoch 6 Batch 444/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8370, Loss: 0.2038
Epoch 6 Batch 445/1077 - Train Accuracy: 0.7858, Validation Accuracy: 0.8288, Loss: 0.2388
Epoch 6 Batch 446/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8246, Loss: 0.1934
Epoch 6 Batch 447/1077 - Train Accuracy: 0.7953, Validation Accuracy: 0.8203, Loss: 0.2317
Epoch 6 Batch 448/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8203, Loss: 0.2501
Epoch 6 Batch 449/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8235, Loss: 0.2415
Epoch 6 Batch 450/1077 - Train Accuracy: 0.8887, Validation Accuracy: 0.8203, Loss: 0.2310
Epoch 6 Batch 451/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8210, Loss: 0.2139
Epoch 6 Batch 452/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8058, Loss: 0.2331
Epoch 6 Batch 453/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8153, Loss: 0.1962
Epoch 6 Batch 454/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8136, Loss: 0.2289
Epoch 6 Batch 455/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8207, Loss: 0.2077
Epoch 6 Batch 456/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8221, Loss: 0.2258
Epoch 6 Batch 457/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8377, Loss: 0.2167
Epoch 6 Batch 458/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.8377, Loss: 0.2393
Epoch 6 Batch 459/1077 - Train Accuracy: 0.8225, Validation Accuracy: 0.8366, Loss: 0.2196
Epoch 6 Batch 460/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8352, Loss: 0.2552
Epoch 6 Batch 461/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8303, Loss: 0.2234
Epoch 6 Batch 462/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8274, Loss: 0.2296
Epoch 6 Batch 463/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.8100, Loss: 0.2257
Epoch 6 Batch 464/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8033, Loss: 0.2039
Epoch 6 Batch 465/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8118, Loss: 0.2495
Epoch 6 Batch 466/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.7983, Loss: 0.2032
Epoch 6 Batch 467/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.7972, Loss: 0.2323
Epoch 6 Batch 468/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.7908, Loss: 0.2179
Epoch 6 Batch 469/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.7923, Loss: 0.2146
Epoch 6 Batch 470/1077 - Train Accuracy: 0.8380, Validation Accuracy: 0.8018, Loss: 0.2370
Epoch 6 Batch 471/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8136, Loss: 0.1997
Epoch 6 Batch 472/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8349, Loss: 0.2045
Epoch 6 Batch 473/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8438, Loss: 0.2302
Epoch 6 Batch 474/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8480, Loss: 0.2382
Epoch 6 Batch 475/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8420, Loss: 0.2061
Epoch 6 Batch 476/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8398, Loss: 0.2120
Epoch 6 Batch 477/1077 - Train Accuracy: 0.8858, Validation Accuracy: 0.8452, Loss: 0.2147
Epoch 6 Batch 478/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8370, Loss: 0.2200
Epoch 6 Batch 479/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8370, Loss: 0.2749
Epoch 6 Batch 480/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8434, Loss: 0.2416
Epoch 6 Batch 481/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8455, Loss: 0.2147
Epoch 6 Batch 482/1077 - Train Accuracy: 0.8384, Validation Accuracy: 0.8406, Loss: 0.2556
Epoch 6 Batch 483/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8345, Loss: 0.2194
Epoch 6 Batch 484/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8281, Loss: 0.2374
Epoch 6 Batch 485/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8214, Loss: 0.2314
Epoch 6 Batch 486/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8153, Loss: 0.2222
Epoch 6 Batch 487/1077 - Train Accuracy: 0.8396, Validation Accuracy: 0.8161, Loss: 0.2248
Epoch 6 Batch 488/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.8146, Loss: 0.2556
Epoch 6 Batch 489/1077 - Train Accuracy: 0.8411, Validation Accuracy: 0.8136, Loss: 0.1928
Epoch 6 Batch 490/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8189, Loss: 0.2352
Epoch 6 Batch 491/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8224, Loss: 0.2472
Epoch 6 Batch 492/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8182, Loss: 0.2446
Epoch 6 Batch 493/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8242, Loss: 0.2004
Epoch 6 Batch 494/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8239, Loss: 0.2239
Epoch 6 Batch 495/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8331, Loss: 0.2175
Epoch 6 Batch 496/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8381, Loss: 0.2442
Epoch 6 Batch 497/1077 - Train Accuracy: 0.8614, Validation Accuracy: 0.8366, Loss: 0.2340
Epoch 6 Batch 498/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8352, Loss: 0.2309
Epoch 6 Batch 499/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8164, Loss: 0.2184
Epoch 6 Batch 500/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8263, Loss: 0.2241
Epoch 6 Batch 501/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8359, Loss: 0.2288
Epoch 6 Batch 502/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8349, Loss: 0.2123
Epoch 6 Batch 503/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8409, Loss: 0.2186
Epoch 6 Batch 504/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8388, Loss: 0.2111
Epoch 6 Batch 505/1077 - Train Accuracy: 0.8999, Validation Accuracy: 0.8331, Loss: 0.1806
Epoch 6 Batch 506/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8388, Loss: 0.2188
Epoch 6 Batch 507/1077 - Train Accuracy: 0.7934, Validation Accuracy: 0.8235, Loss: 0.2212
Epoch 6 Batch 508/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8228, Loss: 0.1939
Epoch 6 Batch 509/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8299, Loss: 0.2393
Epoch 6 Batch 510/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8207, Loss: 0.2312
Epoch 6 Batch 511/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8114, Loss: 0.2275
Epoch 6 Batch 512/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8068, Loss: 0.2235
Epoch 6 Batch 513/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8058, Loss: 0.2197
Epoch 6 Batch 514/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8093, Loss: 0.2313
Epoch 6 Batch 515/1077 - Train Accuracy: 0.8074, Validation Accuracy: 0.8132, Loss: 0.2151
Epoch 6 Batch 516/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8121, Loss: 0.1992
Epoch 6 Batch 517/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8146, Loss: 0.2168
Epoch 6 Batch 518/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8196, Loss: 0.2040
Epoch 6 Batch 519/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8228, Loss: 0.2404
Epoch 6 Batch 520/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8239, Loss: 0.2175
Epoch 6 Batch 521/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8192, Loss: 0.2196
Epoch 6 Batch 522/1077 - Train Accuracy: 0.7805, Validation Accuracy: 0.8217, Loss: 0.2425
Epoch 6 Batch 523/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8271, Loss: 0.2343
Epoch 6 Batch 524/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8161, Loss: 0.2332
Epoch 6 Batch 525/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8203, Loss: 0.2200
Epoch 6 Batch 526/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8221, Loss: 0.2174
Epoch 6 Batch 527/1077 - Train Accuracy: 0.8178, Validation Accuracy: 0.8192, Loss: 0.2350
Epoch 6 Batch 528/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8306, Loss: 0.2352
Epoch 6 Batch 529/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8267, Loss: 0.2256
Epoch 6 Batch 530/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8221, Loss: 0.2355
Epoch 6 Batch 531/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8274, Loss: 0.2070
Epoch 6 Batch 532/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8281, Loss: 0.2137
Epoch 6 Batch 533/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8242, Loss: 0.2481
Epoch 6 Batch 534/1077 - Train Accuracy: 0.8374, Validation Accuracy: 0.8263, Loss: 0.2169
Epoch 6 Batch 535/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8235, Loss: 0.2169
Epoch 6 Batch 536/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8178, Loss: 0.2200
Epoch 6 Batch 537/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.8200, Loss: 0.2198
Epoch 6 Batch 538/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.8203, Loss: 0.1913
Epoch 6 Batch 539/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8242, Loss: 0.2463
Epoch 6 Batch 540/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8207, Loss: 0.1916
Epoch 6 Batch 541/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8235, Loss: 0.2239
Epoch 6 Batch 542/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8185, Loss: 0.2273
Epoch 6 Batch 543/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8210, Loss: 0.2261
Epoch 6 Batch 544/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8104, Loss: 0.2064
Epoch 6 Batch 545/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8058, Loss: 0.2571
Epoch 6 Batch 546/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8075, Loss: 0.2410
Epoch 6 Batch 547/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8121, Loss: 0.2069
Epoch 6 Batch 548/1077 - Train Accuracy: 0.8125, Validation Accuracy: 0.8036, Loss: 0.2498
Epoch 6 Batch 549/1077 - Train Accuracy: 0.7965, Validation Accuracy: 0.8086, Loss: 0.2526
Epoch 6 Batch 550/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8047, Loss: 0.2227
Epoch 6 Batch 551/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8118, Loss: 0.2400
Epoch 6 Batch 552/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8118, Loss: 0.2191
Epoch 6 Batch 553/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8082, Loss: 0.2413
Epoch 6 Batch 554/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8065, Loss: 0.2236
Epoch 6 Batch 555/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8125, Loss: 0.2369
Epoch 6 Batch 556/1077 - Train Accuracy: 0.8012, Validation Accuracy: 0.8118, Loss: 0.2083
Epoch 6 Batch 557/1077 - Train Accuracy: 0.8250, Validation Accuracy: 0.8118, Loss: 0.2259
Epoch 6 Batch 558/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8217, Loss: 0.2048
Epoch 6 Batch 559/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8171, Loss: 0.2105
Epoch 6 Batch 560/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8200, Loss: 0.2126
Epoch 6 Batch 561/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8196, Loss: 0.2152
Epoch 6 Batch 562/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8210, Loss: 0.2088
Epoch 6 Batch 563/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.8217, Loss: 0.2410
Epoch 6 Batch 564/1077 - Train Accuracy: 0.8462, Validation Accuracy: 0.8125, Loss: 0.2299
Epoch 6 Batch 565/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8136, Loss: 0.2295
Epoch 6 Batch 566/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8132, Loss: 0.2286
Epoch 6 Batch 567/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8107, Loss: 0.2410
Epoch 6 Batch 568/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8153, Loss: 0.2215
Epoch 6 Batch 569/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8203, Loss: 0.2273
Epoch 6 Batch 570/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.8171, Loss: 0.2513
Epoch 6 Batch 571/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8132, Loss: 0.2025
Epoch 6 Batch 572/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.8146, Loss: 0.2125
Epoch 6 Batch 573/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8313, Loss: 0.2327
Epoch 6 Batch 574/1077 - Train Accuracy: 0.8043, Validation Accuracy: 0.8271, Loss: 0.2297
Epoch 6 Batch 575/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8398, Loss: 0.2252
Epoch 6 Batch 576/1077 - Train Accuracy: 0.8421, Validation Accuracy: 0.8455, Loss: 0.2062
Epoch 6 Batch 577/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8452, Loss: 0.2393
Epoch 6 Batch 578/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8381, Loss: 0.2221
Epoch 6 Batch 579/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8274, Loss: 0.2146
Epoch 6 Batch 580/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8246, Loss: 0.1964
Epoch 6 Batch 581/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8178, Loss: 0.1978
Epoch 6 Batch 582/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8132, Loss: 0.2154
Epoch 6 Batch 583/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8256, Loss: 0.2345
Epoch 6 Batch 584/1077 - Train Accuracy: 0.8661, Validation Accuracy: 0.8271, Loss: 0.2213
Epoch 6 Batch 585/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8232, Loss: 0.1894
Epoch 6 Batch 586/1077 - Train Accuracy: 0.8647, Validation Accuracy: 0.8327, Loss: 0.2266
Epoch 6 Batch 587/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8320, Loss: 0.2156
Epoch 6 Batch 588/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8331, Loss: 0.2057
Epoch 6 Batch 589/1077 - Train Accuracy: 0.8639, Validation Accuracy: 0.8239, Loss: 0.2273
Epoch 6 Batch 590/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.8246, Loss: 0.2368
Epoch 6 Batch 591/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8221, Loss: 0.2191
Epoch 6 Batch 592/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8274, Loss: 0.2386
Epoch 6 Batch 593/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8260, Loss: 0.2346
Epoch 6 Batch 594/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8278, Loss: 0.2528
Epoch 6 Batch 595/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8359, Loss: 0.2465
Epoch 6 Batch 596/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8356, Loss: 0.2305
Epoch 6 Batch 597/1077 - Train Accuracy: 0.8145, Validation Accuracy: 0.8278, Loss: 0.2120
Epoch 6 Batch 598/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8246, Loss: 0.2297
Epoch 6 Batch 599/1077 - Train Accuracy: 0.8184, Validation Accuracy: 0.8331, Loss: 0.2688
Epoch 6 Batch 600/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8349, Loss: 0.2364
Epoch 6 Batch 601/1077 - Train Accuracy: 0.8627, Validation Accuracy: 0.8338, Loss: 0.2111
Epoch 6 Batch 602/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8352, Loss: 0.2199
Epoch 6 Batch 603/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8285, Loss: 0.2049
Epoch 6 Batch 604/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8246, Loss: 0.2434
Epoch 6 Batch 605/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8242, Loss: 0.2546
Epoch 6 Batch 606/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8246, Loss: 0.1877
Epoch 6 Batch 607/1077 - Train Accuracy: 0.8810, Validation Accuracy: 0.8210, Loss: 0.2158
Epoch 6 Batch 608/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8235, Loss: 0.2395
Epoch 6 Batch 609/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8335, Loss: 0.2260
Epoch 6 Batch 610/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8423, Loss: 0.2438
Epoch 6 Batch 611/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8445, Loss: 0.2265
Epoch 6 Batch 612/1077 - Train Accuracy: 0.8728, Validation Accuracy: 0.8448, Loss: 0.2222
Epoch 6 Batch 613/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8434, Loss: 0.2426
Epoch 6 Batch 614/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8398, Loss: 0.2183
Epoch 6 Batch 615/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8406, Loss: 0.2058
Epoch 6 Batch 616/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.8263, Loss: 0.2625
Epoch 6 Batch 617/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8303, Loss: 0.2144
Epoch 6 Batch 618/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8345, Loss: 0.2049
Epoch 6 Batch 619/1077 - Train Accuracy: 0.8232, Validation Accuracy: 0.8409, Loss: 0.2118
Epoch 6 Batch 620/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8441, Loss: 0.2210
Epoch 6 Batch 621/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8480, Loss: 0.2271
Epoch 6 Batch 622/1077 - Train Accuracy: 0.8692, Validation Accuracy: 0.8434, Loss: 0.2271
Epoch 6 Batch 623/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8430, Loss: 0.2300
Epoch 6 Batch 624/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8391, Loss: 0.2161
Epoch 6 Batch 625/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8363, Loss: 0.2256
Epoch 6 Batch 626/1077 - Train Accuracy: 0.8587, Validation Accuracy: 0.8363, Loss: 0.2106
Epoch 6 Batch 627/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8430, Loss: 0.2080
Epoch 6 Batch 628/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8391, Loss: 0.2406
Epoch 6 Batch 629/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8317, Loss: 0.2395
Epoch 6 Batch 630/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8327, Loss: 0.2201
Epoch 6 Batch 631/1077 - Train Accuracy: 0.8300, Validation Accuracy: 0.8398, Loss: 0.2168
Epoch 6 Batch 632/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8388, Loss: 0.2091
Epoch 6 Batch 633/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8370, Loss: 0.2097
Epoch 6 Batch 634/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8324, Loss: 0.2000
Epoch 6 Batch 635/1077 - Train Accuracy: 0.8429, Validation Accuracy: 0.8377, Loss: 0.2687
Epoch 6 Batch 636/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8391, Loss: 0.2255
Epoch 6 Batch 637/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8406, Loss: 0.2121
Epoch 6 Batch 638/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8299, Loss: 0.2384
Epoch 6 Batch 639/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8313, Loss: 0.2385
Epoch 6 Batch 640/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8288, Loss: 0.2152
Epoch 6 Batch 641/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8299, Loss: 0.2271
Epoch 6 Batch 642/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.8359, Loss: 0.2208
Epoch 6 Batch 643/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8423, Loss: 0.2231
Epoch 6 Batch 644/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8423, Loss: 0.2308
Epoch 6 Batch 645/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8335, Loss: 0.2138
Epoch 6 Batch 646/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8320, Loss: 0.2190
Epoch 6 Batch 647/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8210, Loss: 0.2104
Epoch 6 Batch 648/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8327, Loss: 0.1922
Epoch 6 Batch 649/1077 - Train Accuracy: 0.8313, Validation Accuracy: 0.8320, Loss: 0.2157
Epoch 6 Batch 650/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8263, Loss: 0.2220
Epoch 6 Batch 651/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8239, Loss: 0.2031
Epoch 6 Batch 652/1077 - Train Accuracy: 0.8614, Validation Accuracy: 0.8285, Loss: 0.2363
Epoch 6 Batch 653/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8171, Loss: 0.2172
Epoch 6 Batch 654/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8118, Loss: 0.2050
Epoch 6 Batch 655/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8072, Loss: 0.2368
Epoch 6 Batch 656/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8054, Loss: 0.2263
Epoch 6 Batch 657/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.8058, Loss: 0.2061
Epoch 6 Batch 658/1077 - Train Accuracy: 0.8002, Validation Accuracy: 0.8026, Loss: 0.1947
Epoch 6 Batch 659/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8001, Loss: 0.2269
Epoch 6 Batch 660/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.7965, Loss: 0.2291
Epoch 6 Batch 661/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.7876, Loss: 0.2095
Epoch 6 Batch 662/1077 - Train Accuracy: 0.8679, Validation Accuracy: 0.8011, Loss: 0.1991
Epoch 6 Batch 663/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.7919, Loss: 0.2018
Epoch 6 Batch 664/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8008, Loss: 0.2120
Epoch 6 Batch 665/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8129, Loss: 0.2282
Epoch 6 Batch 666/1077 - Train Accuracy: 0.8487, Validation Accuracy: 0.8093, Loss: 0.2486
Epoch 6 Batch 667/1077 - Train Accuracy: 0.7981, Validation Accuracy: 0.7994, Loss: 0.2345
Epoch 6 Batch 668/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8001, Loss: 0.2210
Epoch 6 Batch 669/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8143, Loss: 0.2128
Epoch 6 Batch 670/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8200, Loss: 0.2329
Epoch 6 Batch 671/1077 - Train Accuracy: 0.8022, Validation Accuracy: 0.8267, Loss: 0.2403
Epoch 6 Batch 672/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8221, Loss: 0.2316
Epoch 6 Batch 673/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8203, Loss: 0.2156
Epoch 6 Batch 674/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8185, Loss: 0.2002
Epoch 6 Batch 675/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8263, Loss: 0.2353
Epoch 6 Batch 676/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8246, Loss: 0.2238
Epoch 6 Batch 677/1077 - Train Accuracy: 0.7980, Validation Accuracy: 0.8203, Loss: 0.2345
Epoch 6 Batch 678/1077 - Train Accuracy: 0.8304, Validation Accuracy: 0.8214, Loss: 0.2033
Epoch 6 Batch 679/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8260, Loss: 0.2322
Epoch 6 Batch 680/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8175, Loss: 0.2168
Epoch 6 Batch 681/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8182, Loss: 0.2299
Epoch 6 Batch 682/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8189, Loss: 0.2217
Epoch 6 Batch 683/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8242, Loss: 0.2034
Epoch 6 Batch 684/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8260, Loss: 0.2309
Epoch 6 Batch 685/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8267, Loss: 0.2209
Epoch 6 Batch 686/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8281, Loss: 0.2001
Epoch 6 Batch 687/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8320, Loss: 0.2539
Epoch 6 Batch 688/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8306, Loss: 0.2057
Epoch 6 Batch 689/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8292, Loss: 0.1929
Epoch 6 Batch 690/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8203, Loss: 0.2105
Epoch 6 Batch 691/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8175, Loss: 0.2491
Epoch 6 Batch 692/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8178, Loss: 0.2015
Epoch 6 Batch 693/1077 - Train Accuracy: 0.7993, Validation Accuracy: 0.8232, Loss: 0.2626
Epoch 6 Batch 694/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8182, Loss: 0.2159
Epoch 6 Batch 695/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8182, Loss: 0.1991
Epoch 6 Batch 696/1077 - Train Accuracy: 0.8425, Validation Accuracy: 0.8111, Loss: 0.2527
Epoch 6 Batch 697/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8189, Loss: 0.2114
Epoch 6 Batch 698/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8182, Loss: 0.2114
Epoch 6 Batch 699/1077 - Train Accuracy: 0.8413, Validation Accuracy: 0.8129, Loss: 0.2157
Epoch 6 Batch 700/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8153, Loss: 0.2041
Epoch 6 Batch 701/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8104, Loss: 0.2383
Epoch 6 Batch 702/1077 - Train Accuracy: 0.8382, Validation Accuracy: 0.8178, Loss: 0.2203
Epoch 6 Batch 703/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8310, Loss: 0.2311
Epoch 6 Batch 704/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8313, Loss: 0.2350
Epoch 6 Batch 705/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8342, Loss: 0.2319
Epoch 6 Batch 706/1077 - Train Accuracy: 0.7924, Validation Accuracy: 0.8331, Loss: 0.2548
Epoch 6 Batch 707/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8299, Loss: 0.2269
Epoch 6 Batch 708/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8271, Loss: 0.2412
Epoch 6 Batch 709/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8274, Loss: 0.2415
Epoch 6 Batch 710/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8366, Loss: 0.2158
Epoch 6 Batch 711/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8370, Loss: 0.2390
Epoch 6 Batch 712/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8338, Loss: 0.1953
Epoch 6 Batch 713/1077 - Train Accuracy: 0.8526, Validation Accuracy: 0.8487, Loss: 0.1995
Epoch 6 Batch 714/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8274, Loss: 0.1976
Epoch 6 Batch 715/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8299, Loss: 0.2376
Epoch 6 Batch 716/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8310, Loss: 0.2124
Epoch 6 Batch 717/1077 - Train Accuracy: 0.8721, Validation Accuracy: 0.8271, Loss: 0.2057
Epoch 6 Batch 718/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8288, Loss: 0.2140
Epoch 6 Batch 719/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8356, Loss: 0.2025
Epoch 6 Batch 720/1077 - Train Accuracy: 0.8569, Validation Accuracy: 0.8342, Loss: 0.2266
Epoch 6 Batch 721/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8384, Loss: 0.2289
Epoch 6 Batch 722/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8288, Loss: 0.2031
Epoch 6 Batch 723/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8313, Loss: 0.2141
Epoch 6 Batch 724/1077 - Train Accuracy: 0.8450, Validation Accuracy: 0.8274, Loss: 0.2371
Epoch 6 Batch 725/1077 - Train Accuracy: 0.9033, Validation Accuracy: 0.8434, Loss: 0.1967
Epoch 6 Batch 726/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8420, Loss: 0.2118
Epoch 6 Batch 727/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8313, Loss: 0.2115
Epoch 6 Batch 728/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8306, Loss: 0.2320
Epoch 6 Batch 729/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8295, Loss: 0.2516
Epoch 6 Batch 730/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8235, Loss: 0.2294
Epoch 6 Batch 731/1077 - Train Accuracy: 0.8222, Validation Accuracy: 0.8196, Loss: 0.2309
Epoch 6 Batch 732/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8310, Loss: 0.2166
Epoch 6 Batch 733/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8374, Loss: 0.2229
Epoch 6 Batch 734/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8420, Loss: 0.2256
Epoch 6 Batch 735/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8256, Loss: 0.2193
Epoch 6 Batch 736/1077 - Train Accuracy: 0.8861, Validation Accuracy: 0.8246, Loss: 0.2089
Epoch 6 Batch 737/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8168, Loss: 0.2436
Epoch 6 Batch 738/1077 - Train Accuracy: 0.8636, Validation Accuracy: 0.8153, Loss: 0.1763
Epoch 6 Batch 739/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8253, Loss: 0.2094
Epoch 6 Batch 740/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8189, Loss: 0.2151
Epoch 6 Batch 741/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8224, Loss: 0.2356
Epoch 6 Batch 742/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8295, Loss: 0.2112
Epoch 6 Batch 743/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8416, Loss: 0.2372
Epoch 6 Batch 744/1077 - Train Accuracy: 0.8962, Validation Accuracy: 0.8423, Loss: 0.2149
Epoch 6 Batch 745/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8395, Loss: 0.2122
Epoch 6 Batch 746/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8381, Loss: 0.2140
Epoch 6 Batch 747/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8338, Loss: 0.2035
Epoch 6 Batch 748/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8317, Loss: 0.2304
Epoch 6 Batch 749/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8175, Loss: 0.2383
Epoch 6 Batch 750/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8136, Loss: 0.2075
Epoch 6 Batch 751/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8221, Loss: 0.2115
Epoch 6 Batch 752/1077 - Train Accuracy: 0.8519, Validation Accuracy: 0.8221, Loss: 0.2079
Epoch 6 Batch 753/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8224, Loss: 0.2103
Epoch 6 Batch 754/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8263, Loss: 0.2270
Epoch 6 Batch 755/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8299, Loss: 0.2264
Epoch 6 Batch 756/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8295, Loss: 0.2065
Epoch 6 Batch 757/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8313, Loss: 0.2267
Epoch 6 Batch 758/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8267, Loss: 0.2069
Epoch 6 Batch 759/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8320, Loss: 0.2020
Epoch 6 Batch 760/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8366, Loss: 0.2362
Epoch 6 Batch 761/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8377, Loss: 0.2232
Epoch 6 Batch 762/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8363, Loss: 0.1999
Epoch 6 Batch 763/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8274, Loss: 0.1932
Epoch 6 Batch 764/1077 - Train Accuracy: 0.8771, Validation Accuracy: 0.8274, Loss: 0.2455
Epoch 6 Batch 765/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8267, Loss: 0.2166
Epoch 6 Batch 766/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8274, Loss: 0.2442
Epoch 6 Batch 767/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8370, Loss: 0.2109
Epoch 6 Batch 768/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8480, Loss: 0.2132
Epoch 6 Batch 769/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8413, Loss: 0.2338
Epoch 6 Batch 770/1077 - Train Accuracy: 0.8266, Validation Accuracy: 0.8342, Loss: 0.2143
Epoch 6 Batch 771/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8327, Loss: 0.2348
Epoch 6 Batch 772/1077 - Train Accuracy: 0.8728, Validation Accuracy: 0.8381, Loss: 0.1895
Epoch 6 Batch 773/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8473, Loss: 0.2234
Epoch 6 Batch 774/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8430, Loss: 0.2260
Epoch 6 Batch 775/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8395, Loss: 0.2354
Epoch 6 Batch 776/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8398, Loss: 0.2203
Epoch 6 Batch 777/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8434, Loss: 0.2188
Epoch 6 Batch 778/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8349, Loss: 0.2001
Epoch 6 Batch 779/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8345, Loss: 0.2208
Epoch 6 Batch 780/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8434, Loss: 0.2456
Epoch 6 Batch 781/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8594, Loss: 0.1849
Epoch 6 Batch 782/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8636, Loss: 0.2181
Epoch 6 Batch 783/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.8569, Loss: 0.2597
Epoch 6 Batch 784/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8526, Loss: 0.2073
Epoch 6 Batch 785/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8576, Loss: 0.2116
Epoch 6 Batch 786/1077 - Train Accuracy: 0.8027, Validation Accuracy: 0.8519, Loss: 0.2227
Epoch 6 Batch 787/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8537, Loss: 0.2147
Epoch 6 Batch 788/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8501, Loss: 0.2130
Epoch 6 Batch 789/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.8537, Loss: 0.2401
Epoch 6 Batch 790/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8221, Loss: 0.2269
Epoch 6 Batch 791/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8253, Loss: 0.2381
Epoch 6 Batch 792/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8107, Loss: 0.2430
Epoch 6 Batch 793/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8203, Loss: 0.2211
Epoch 6 Batch 794/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8118, Loss: 0.2082
Epoch 6 Batch 795/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8107, Loss: 0.2374
Epoch 6 Batch 796/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8185, Loss: 0.2201
Epoch 6 Batch 797/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8178, Loss: 0.2127
Epoch 6 Batch 798/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8232, Loss: 0.2271
Epoch 6 Batch 799/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8327, Loss: 0.2475
Epoch 6 Batch 800/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8285, Loss: 0.2195
Epoch 6 Batch 801/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8292, Loss: 0.2194
Epoch 6 Batch 802/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8342, Loss: 0.2243
Epoch 6 Batch 803/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8434, Loss: 0.2177
Epoch 6 Batch 804/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8420, Loss: 0.1997
Epoch 6 Batch 805/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8473, Loss: 0.2335
Epoch 6 Batch 806/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8643, Loss: 0.2248
Epoch 6 Batch 807/1077 - Train Accuracy: 0.8879, Validation Accuracy: 0.8551, Loss: 0.2073
Epoch 6 Batch 808/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8416, Loss: 0.2339
Epoch 6 Batch 809/1077 - Train Accuracy: 0.8561, Validation Accuracy: 0.8310, Loss: 0.2514
Epoch 6 Batch 810/1077 - Train Accuracy: 0.8873, Validation Accuracy: 0.8345, Loss: 0.1874
Epoch 6 Batch 811/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8366, Loss: 0.2208
Epoch 6 Batch 812/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8420, Loss: 0.2150
Epoch 6 Batch 813/1077 - Train Accuracy: 0.8374, Validation Accuracy: 0.8480, Loss: 0.2187
Epoch 6 Batch 814/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8455, Loss: 0.2488
Epoch 6 Batch 815/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8548, Loss: 0.2435
Epoch 6 Batch 816/1077 - Train Accuracy: 0.8861, Validation Accuracy: 0.8551, Loss: 0.2314
Epoch 6 Batch 817/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8505, Loss: 0.2496
Epoch 6 Batch 818/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8533, Loss: 0.2185
Epoch 6 Batch 819/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8310, Loss: 0.2092
Epoch 6 Batch 820/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8335, Loss: 0.2146
Epoch 6 Batch 821/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8281, Loss: 0.2226
Epoch 6 Batch 822/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8200, Loss: 0.2168
Epoch 6 Batch 823/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8175, Loss: 0.2260
Epoch 6 Batch 824/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8164, Loss: 0.2024
Epoch 6 Batch 825/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8224, Loss: 0.2219
Epoch 6 Batch 826/1077 - Train Accuracy: 0.8378, Validation Accuracy: 0.8232, Loss: 0.2167
Epoch 6 Batch 827/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.8196, Loss: 0.2472
Epoch 6 Batch 828/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8168, Loss: 0.2289
Epoch 6 Batch 829/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8072, Loss: 0.2586
Epoch 6 Batch 830/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8132, Loss: 0.2157
Epoch 6 Batch 831/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8164, Loss: 0.2167
Epoch 6 Batch 832/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8288, Loss: 0.2204
Epoch 6 Batch 833/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8281, Loss: 0.2258
Epoch 6 Batch 834/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8178, Loss: 0.2213
Epoch 6 Batch 835/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8228, Loss: 0.2252
Epoch 6 Batch 836/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8203, Loss: 0.2196
Epoch 6 Batch 837/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8320, Loss: 0.2271
Epoch 6 Batch 838/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8274, Loss: 0.2019
Epoch 6 Batch 839/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8285, Loss: 0.2073
Epoch 6 Batch 840/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8285, Loss: 0.2200
Epoch 6 Batch 841/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8271, Loss: 0.2285
Epoch 6 Batch 842/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8246, Loss: 0.1965
Epoch 6 Batch 843/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8292, Loss: 0.2127
Epoch 6 Batch 844/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8338, Loss: 0.2096
Epoch 6 Batch 845/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8413, Loss: 0.2153
Epoch 6 Batch 846/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8398, Loss: 0.2416
Epoch 6 Batch 847/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8402, Loss: 0.2483
Epoch 6 Batch 848/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8345, Loss: 0.2160
Epoch 6 Batch 849/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8292, Loss: 0.2165
Epoch 6 Batch 850/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8274, Loss: 0.2490
Epoch 6 Batch 851/1077 - Train Accuracy: 0.8873, Validation Accuracy: 0.8327, Loss: 0.2359
Epoch 6 Batch 852/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8427, Loss: 0.2286
Epoch 6 Batch 853/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8342, Loss: 0.1859
Epoch 6 Batch 854/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8288, Loss: 0.2093
Epoch 6 Batch 855/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8335, Loss: 0.2294
Epoch 6 Batch 856/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8406, Loss: 0.2308
Epoch 6 Batch 857/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8473, Loss: 0.2044
Epoch 6 Batch 858/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8416, Loss: 0.1976
Epoch 6 Batch 859/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8377, Loss: 0.2399
Epoch 6 Batch 860/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8391, Loss: 0.2031
Epoch 6 Batch 861/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8388, Loss: 0.2136
Epoch 6 Batch 862/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8469, Loss: 0.2280
Epoch 6 Batch 863/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8406, Loss: 0.2202
Epoch 6 Batch 864/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8342, Loss: 0.1944
Epoch 6 Batch 865/1077 - Train Accuracy: 0.8526, Validation Accuracy: 0.8352, Loss: 0.2203
Epoch 6 Batch 866/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8384, Loss: 0.2181
Epoch 6 Batch 867/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8452, Loss: 0.2539
Epoch 6 Batch 868/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8420, Loss: 0.2174
Epoch 6 Batch 869/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8452, Loss: 0.2217
Epoch 6 Batch 870/1077 - Train Accuracy: 0.8088, Validation Accuracy: 0.8288, Loss: 0.2300
Epoch 6 Batch 871/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8299, Loss: 0.2193
Epoch 6 Batch 872/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8345, Loss: 0.1974
Epoch 6 Batch 873/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8331, Loss: 0.2281
Epoch 6 Batch 874/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8377, Loss: 0.2348
Epoch 6 Batch 875/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8384, Loss: 0.2477
Epoch 6 Batch 876/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8391, Loss: 0.2245
Epoch 6 Batch 877/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8402, Loss: 0.2181
Epoch 6 Batch 878/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8352, Loss: 0.2251
Epoch 6 Batch 879/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8313, Loss: 0.2188
Epoch 6 Batch 880/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8416, Loss: 0.2228
Epoch 6 Batch 881/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8402, Loss: 0.2538
Epoch 6 Batch 882/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8395, Loss: 0.2525
Epoch 6 Batch 883/1077 - Train Accuracy: 0.7928, Validation Accuracy: 0.8267, Loss: 0.2965
Epoch 6 Batch 884/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8171, Loss: 0.2203
Epoch 6 Batch 885/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8182, Loss: 0.1950
Epoch 6 Batch 886/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8263, Loss: 0.2267
Epoch 6 Batch 887/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8200, Loss: 0.2493
Epoch 6 Batch 888/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8217, Loss: 0.2069
Epoch 6 Batch 889/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8196, Loss: 0.2436
Epoch 6 Batch 890/1077 - Train Accuracy: 0.8847, Validation Accuracy: 0.8082, Loss: 0.2066
Epoch 6 Batch 891/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8089, Loss: 0.2225
Epoch 6 Batch 892/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8075, Loss: 0.2242
Epoch 6 Batch 893/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8018, Loss: 0.2054
Epoch 6 Batch 894/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8001, Loss: 0.2227
Epoch 6 Batch 895/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.7965, Loss: 0.2192
Epoch 6 Batch 896/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.8001, Loss: 0.2619
Epoch 6 Batch 897/1077 - Train Accuracy: 0.8769, Validation Accuracy: 0.8001, Loss: 0.1862
Epoch 6 Batch 898/1077 - Train Accuracy: 0.8482, Validation Accuracy: 0.8065, Loss: 0.2017
Epoch 6 Batch 899/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8178, Loss: 0.2191
Epoch 6 Batch 900/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8200, Loss: 0.2481
Epoch 6 Batch 901/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8207, Loss: 0.2443
Epoch 6 Batch 902/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8200, Loss: 0.2239
Epoch 6 Batch 903/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8349, Loss: 0.2125
Epoch 6 Batch 904/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8352, Loss: 0.2336
Epoch 6 Batch 905/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8232, Loss: 0.2206
Epoch 6 Batch 906/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8249, Loss: 0.2106
Epoch 6 Batch 907/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8221, Loss: 0.2097
Epoch 6 Batch 908/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8217, Loss: 0.2320
Epoch 6 Batch 909/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8242, Loss: 0.2315
Epoch 6 Batch 910/1077 - Train Accuracy: 0.8389, Validation Accuracy: 0.8175, Loss: 0.2173
Epoch 6 Batch 911/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8171, Loss: 0.2064
Epoch 6 Batch 912/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8200, Loss: 0.2246
Epoch 6 Batch 913/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8164, Loss: 0.2855
Epoch 6 Batch 914/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8100, Loss: 0.2328
Epoch 6 Batch 915/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8132, Loss: 0.2210
Epoch 6 Batch 916/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8114, Loss: 0.2380
Epoch 6 Batch 917/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8235, Loss: 0.2267
Epoch 6 Batch 918/1077 - Train Accuracy: 0.8638, Validation Accuracy: 0.8374, Loss: 0.2113
Epoch 6 Batch 919/1077 - Train Accuracy: 0.8639, Validation Accuracy: 0.8338, Loss: 0.1953
Epoch 6 Batch 920/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8352, Loss: 0.2502
Epoch 6 Batch 921/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8423, Loss: 0.2221
Epoch 6 Batch 922/1077 - Train Accuracy: 0.8296, Validation Accuracy: 0.8423, Loss: 0.2149
Epoch 6 Batch 923/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8448, Loss: 0.2270
Epoch 6 Batch 924/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8452, Loss: 0.2559
Epoch 6 Batch 925/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8523, Loss: 0.2151
Epoch 6 Batch 926/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8452, Loss: 0.2392
Epoch 6 Batch 927/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8448, Loss: 0.2251
Epoch 6 Batch 928/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8494, Loss: 0.2331
Epoch 6 Batch 929/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8274, Loss: 0.2324
Epoch 6 Batch 930/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8164, Loss: 0.2178
Epoch 6 Batch 931/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8125, Loss: 0.2255
Epoch 6 Batch 932/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8164, Loss: 0.2121
Epoch 6 Batch 933/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8228, Loss: 0.2299
Epoch 6 Batch 934/1077 - Train Accuracy: 0.8227, Validation Accuracy: 0.8161, Loss: 0.2197
Epoch 6 Batch 935/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8168, Loss: 0.2381
Epoch 6 Batch 936/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8107, Loss: 0.2244
Epoch 6 Batch 937/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8118, Loss: 0.2476
Epoch 6 Batch 938/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8075, Loss: 0.2331
Epoch 6 Batch 939/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8107, Loss: 0.2458
Epoch 6 Batch 940/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8121, Loss: 0.2047
Epoch 6 Batch 941/1077 - Train Accuracy: 0.8411, Validation Accuracy: 0.8207, Loss: 0.2108
Epoch 6 Batch 942/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8146, Loss: 0.2360
Epoch 6 Batch 943/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8114, Loss: 0.2274
Epoch 6 Batch 944/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8207, Loss: 0.1969
Epoch 6 Batch 945/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8242, Loss: 0.2223
Epoch 6 Batch 946/1077 - Train Accuracy: 0.8972, Validation Accuracy: 0.8299, Loss: 0.2126
Epoch 6 Batch 947/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.8359, Loss: 0.2528
Epoch 6 Batch 948/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8352, Loss: 0.2041
Epoch 6 Batch 949/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8366, Loss: 0.1988
Epoch 6 Batch 950/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8420, Loss: 0.2225
Epoch 6 Batch 951/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8388, Loss: 0.2182
Epoch 6 Batch 952/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8331, Loss: 0.2091
Epoch 6 Batch 953/1077 - Train Accuracy: 0.9001, Validation Accuracy: 0.8292, Loss: 0.2109
Epoch 6 Batch 954/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8335, Loss: 0.2382
Epoch 6 Batch 955/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8349, Loss: 0.2369
Epoch 6 Batch 956/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8331, Loss: 0.2406
Epoch 6 Batch 957/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8214, Loss: 0.2010
Epoch 6 Batch 958/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8217, Loss: 0.2165
Epoch 6 Batch 959/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8168, Loss: 0.2045
Epoch 6 Batch 960/1077 - Train Accuracy: 0.8534, Validation Accuracy: 0.8192, Loss: 0.2131
Epoch 6 Batch 961/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8146, Loss: 0.2193
Epoch 6 Batch 962/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8097, Loss: 0.2122
Epoch 6 Batch 963/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8146, Loss: 0.2548
Epoch 6 Batch 964/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8097, Loss: 0.2030
Epoch 6 Batch 965/1077 - Train Accuracy: 0.8491, Validation Accuracy: 0.8040, Loss: 0.2438
Epoch 6 Batch 966/1077 - Train Accuracy: 0.8431, Validation Accuracy: 0.8132, Loss: 0.1903
Epoch 6 Batch 967/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8168, Loss: 0.2116
Epoch 6 Batch 968/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8182, Loss: 0.2506
Epoch 6 Batch 969/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8359, Loss: 0.2439
Epoch 6 Batch 970/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8370, Loss: 0.2318
Epoch 6 Batch 971/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8377, Loss: 0.2112
Epoch 6 Batch 972/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8278, Loss: 0.2117
Epoch 6 Batch 973/1077 - Train Accuracy: 0.9062, Validation Accuracy: 0.8317, Loss: 0.2083
Epoch 6 Batch 974/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8317, Loss: 0.2164
Epoch 6 Batch 975/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8281, Loss: 0.2284
Epoch 6 Batch 976/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8359, Loss: 0.1968
Epoch 6 Batch 977/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8388, Loss: 0.1947
Epoch 6 Batch 978/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8232, Loss: 0.2294
Epoch 6 Batch 979/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8146, Loss: 0.2212
Epoch 6 Batch 980/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8143, Loss: 0.2213
Epoch 6 Batch 981/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8118, Loss: 0.2164
Epoch 6 Batch 982/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.8246, Loss: 0.2151
Epoch 6 Batch 983/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8303, Loss: 0.2399
Epoch 6 Batch 984/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8320, Loss: 0.2381
Epoch 6 Batch 985/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8381, Loss: 0.2113
Epoch 6 Batch 986/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8324, Loss: 0.2276
Epoch 6 Batch 987/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.8320, Loss: 0.2154
Epoch 6 Batch 988/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8338, Loss: 0.2227
Epoch 6 Batch 989/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8416, Loss: 0.2246
Epoch 6 Batch 990/1077 - Train Accuracy: 0.8351, Validation Accuracy: 0.8423, Loss: 0.2422
Epoch 6 Batch 991/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8640, Loss: 0.2167
Epoch 6 Batch 992/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8594, Loss: 0.2252
Epoch 6 Batch 993/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8601, Loss: 0.2012
Epoch 6 Batch 994/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8494, Loss: 0.2239
Epoch 6 Batch 995/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.8484, Loss: 0.2076
Epoch 6 Batch 996/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8469, Loss: 0.2150
Epoch 6 Batch 997/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.8473, Loss: 0.2170
Epoch 6 Batch 998/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8480, Loss: 0.2025
Epoch 6 Batch 999/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8445, Loss: 0.2270
Epoch 6 Batch 1000/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8484, Loss: 0.2007
Epoch 6 Batch 1001/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8413, Loss: 0.2035
Epoch 6 Batch 1002/1077 - Train Accuracy: 0.9039, Validation Accuracy: 0.8427, Loss: 0.2047
Epoch 6 Batch 1003/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8466, Loss: 0.2344
Epoch 6 Batch 1004/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8459, Loss: 0.2355
Epoch 6 Batch 1005/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8281, Loss: 0.2150
Epoch 6 Batch 1006/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8253, Loss: 0.2077
Epoch 6 Batch 1007/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8189, Loss: 0.2112
Epoch 6 Batch 1008/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8097, Loss: 0.2486
Epoch 6 Batch 1009/1077 - Train Accuracy: 0.9035, Validation Accuracy: 0.8040, Loss: 0.1802
Epoch 6 Batch 1010/1077 - Train Accuracy: 0.8801, Validation Accuracy: 0.8100, Loss: 0.2232
Epoch 6 Batch 1011/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8256, Loss: 0.2188
Epoch 6 Batch 1012/1077 - Train Accuracy: 0.8765, Validation Accuracy: 0.8263, Loss: 0.1848
Epoch 6 Batch 1013/1077 - Train Accuracy: 0.8661, Validation Accuracy: 0.8317, Loss: 0.1878
Epoch 6 Batch 1014/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8335, Loss: 0.2320
Epoch 6 Batch 1015/1077 - Train Accuracy: 0.8305, Validation Accuracy: 0.8356, Loss: 0.2543
Epoch 6 Batch 1016/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8523, Loss: 0.2278
Epoch 6 Batch 1017/1077 - Train Accuracy: 0.8396, Validation Accuracy: 0.8523, Loss: 0.2482
Epoch 6 Batch 1018/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8526, Loss: 0.2229
Epoch 6 Batch 1019/1077 - Train Accuracy: 0.8372, Validation Accuracy: 0.8494, Loss: 0.2610
Epoch 6 Batch 1020/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8391, Loss: 0.2056
Epoch 6 Batch 1021/1077 - Train Accuracy: 0.8151, Validation Accuracy: 0.8295, Loss: 0.2096
Epoch 6 Batch 1022/1077 - Train Accuracy: 0.8497, Validation Accuracy: 0.8271, Loss: 0.2167
Epoch 6 Batch 1023/1077 - Train Accuracy: 0.8665, Validation Accuracy: 0.8359, Loss: 0.2150
Epoch 6 Batch 1024/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8388, Loss: 0.2551
Epoch 6 Batch 1025/1077 - Train Accuracy: 0.8140, Validation Accuracy: 0.8391, Loss: 0.2342
Epoch 6 Batch 1026/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8434, Loss: 0.2034
Epoch 6 Batch 1027/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8540, Loss: 0.2314
Epoch 6 Batch 1028/1077 - Train Accuracy: 0.8099, Validation Accuracy: 0.8526, Loss: 0.2242
Epoch 6 Batch 1029/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8526, Loss: 0.2198
Epoch 6 Batch 1030/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8480, Loss: 0.2256
Epoch 6 Batch 1031/1077 - Train Accuracy: 0.8224, Validation Accuracy: 0.8320, Loss: 0.2345
Epoch 6 Batch 1032/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8331, Loss: 0.2490
Epoch 6 Batch 1033/1077 - Train Accuracy: 0.8222, Validation Accuracy: 0.8278, Loss: 0.2243
Epoch 6 Batch 1034/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8253, Loss: 0.2367
Epoch 6 Batch 1035/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8249, Loss: 0.1978
Epoch 6 Batch 1036/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8239, Loss: 0.2318
Epoch 6 Batch 1037/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.8246, Loss: 0.2196
Epoch 6 Batch 1038/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8217, Loss: 0.2345
Epoch 6 Batch 1039/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8157, Loss: 0.2188
Epoch 6 Batch 1040/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8452, Loss: 0.2558
Epoch 6 Batch 1041/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8455, Loss: 0.2327
Epoch 6 Batch 1042/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8445, Loss: 0.2119
Epoch 6 Batch 1043/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8416, Loss: 0.2519
Epoch 6 Batch 1044/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8324, Loss: 0.2449
Epoch 6 Batch 1045/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8317, Loss: 0.2189
Epoch 6 Batch 1046/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8263, Loss: 0.1855
Epoch 6 Batch 1047/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8271, Loss: 0.2234
Epoch 6 Batch 1048/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8313, Loss: 0.1983
Epoch 6 Batch 1049/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8310, Loss: 0.2172
Epoch 6 Batch 1050/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8267, Loss: 0.2014
Epoch 6 Batch 1051/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8256, Loss: 0.2174
Epoch 6 Batch 1052/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8406, Loss: 0.2035
Epoch 6 Batch 1053/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8459, Loss: 0.2125
Epoch 6 Batch 1054/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8516, Loss: 0.2031
Epoch 6 Batch 1055/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8505, Loss: 0.2273
Epoch 6 Batch 1056/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.8523, Loss: 0.2194
Epoch 6 Batch 1057/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8484, Loss: 0.2358
Epoch 6 Batch 1058/1077 - Train Accuracy: 0.8405, Validation Accuracy: 0.8374, Loss: 0.2423
Epoch 6 Batch 1059/1077 - Train Accuracy: 0.8162, Validation Accuracy: 0.8278, Loss: 0.2554
Epoch 6 Batch 1060/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8228, Loss: 0.2064
Epoch 6 Batch 1061/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8228, Loss: 0.2371
Epoch 6 Batch 1062/1077 - Train Accuracy: 0.8246, Validation Accuracy: 0.8292, Loss: 0.2056
Epoch 6 Batch 1063/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8295, Loss: 0.2206
Epoch 6 Batch 1064/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8377, Loss: 0.2339
Epoch 6 Batch 1065/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8381, Loss: 0.2150
Epoch 6 Batch 1066/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8320, Loss: 0.2073
Epoch 6 Batch 1067/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8352, Loss: 0.2340
Epoch 6 Batch 1068/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8395, Loss: 0.2133
Epoch 6 Batch 1069/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8381, Loss: 0.1871
Epoch 6 Batch 1070/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8413, Loss: 0.2289
Epoch 6 Batch 1071/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8434, Loss: 0.2149
Epoch 6 Batch 1072/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8391, Loss: 0.2118
Epoch 6 Batch 1073/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8430, Loss: 0.2340
Epoch 6 Batch 1074/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8349, Loss: 0.2296
Epoch 6 Batch 1075/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8370, Loss: 0.2510
Epoch 7 Batch 1/1077 - Train Accuracy: 0.8855, Validation Accuracy: 0.8381, Loss: 0.1945
Epoch 7 Batch 2/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8327, Loss: 0.2058
Epoch 7 Batch 3/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8288, Loss: 0.2053
Epoch 7 Batch 4/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8292, Loss: 0.2230
Epoch 7 Batch 5/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8395, Loss: 0.2384
Epoch 7 Batch 6/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8342, Loss: 0.2338
Epoch 7 Batch 7/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8317, Loss: 0.2052
Epoch 7 Batch 8/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8232, Loss: 0.2203
Epoch 7 Batch 9/1077 - Train Accuracy: 0.8254, Validation Accuracy: 0.8242, Loss: 0.2264
Epoch 7 Batch 10/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8175, Loss: 0.2221
Epoch 7 Batch 11/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8224, Loss: 0.2339
Epoch 7 Batch 12/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8217, Loss: 0.2252
Epoch 7 Batch 13/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8182, Loss: 0.2310
Epoch 7 Batch 14/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8203, Loss: 0.1950
Epoch 7 Batch 15/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8256, Loss: 0.2059
Epoch 7 Batch 16/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8388, Loss: 0.2203
Epoch 7 Batch 17/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8377, Loss: 0.2052
Epoch 7 Batch 18/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8274, Loss: 0.2431
Epoch 7 Batch 19/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8263, Loss: 0.2332
Epoch 7 Batch 20/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8281, Loss: 0.1948
Epoch 7 Batch 21/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8228, Loss: 0.2365
Epoch 7 Batch 22/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8256, Loss: 0.2342
Epoch 7 Batch 23/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8320, Loss: 0.2074
Epoch 7 Batch 24/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8349, Loss: 0.2119
Epoch 7 Batch 25/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8256, Loss: 0.2147
Epoch 7 Batch 26/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8406, Loss: 0.2443
Epoch 7 Batch 27/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8409, Loss: 0.1799
Epoch 7 Batch 28/1077 - Train Accuracy: 0.9039, Validation Accuracy: 0.8452, Loss: 0.2119
Epoch 7 Batch 29/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8402, Loss: 0.2052
Epoch 7 Batch 30/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8409, Loss: 0.2048
Epoch 7 Batch 31/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8427, Loss: 0.2253
Epoch 7 Batch 32/1077 - Train Accuracy: 0.8411, Validation Accuracy: 0.8491, Loss: 0.2088
Epoch 7 Batch 33/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8249, Loss: 0.2020
Epoch 7 Batch 34/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8210, Loss: 0.2000
Epoch 7 Batch 35/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8114, Loss: 0.1971
Epoch 7 Batch 36/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8015, Loss: 0.2106
Epoch 7 Batch 37/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8068, Loss: 0.2226
Epoch 7 Batch 38/1077 - Train Accuracy: 0.8425, Validation Accuracy: 0.8114, Loss: 0.2560
Epoch 7 Batch 39/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8146, Loss: 0.2400
Epoch 7 Batch 40/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8185, Loss: 0.2153
Epoch 7 Batch 41/1077 - Train Accuracy: 0.8534, Validation Accuracy: 0.8274, Loss: 0.2068
Epoch 7 Batch 42/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8200, Loss: 0.2310
Epoch 7 Batch 43/1077 - Train Accuracy: 0.8701, Validation Accuracy: 0.8192, Loss: 0.1883
Epoch 7 Batch 44/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8203, Loss: 0.2162
Epoch 7 Batch 45/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8164, Loss: 0.2129
Epoch 7 Batch 46/1077 - Train Accuracy: 0.8413, Validation Accuracy: 0.8168, Loss: 0.2244
Epoch 7 Batch 47/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8129, Loss: 0.2060
Epoch 7 Batch 48/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8089, Loss: 0.2445
Epoch 7 Batch 49/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8097, Loss: 0.2297
Epoch 7 Batch 50/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8093, Loss: 0.2104
Epoch 7 Batch 51/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8150, Loss: 0.2123
Epoch 7 Batch 52/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8267, Loss: 0.2187
Epoch 7 Batch 53/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8335, Loss: 0.2033
Epoch 7 Batch 54/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8391, Loss: 0.2582
Epoch 7 Batch 55/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8317, Loss: 0.2105
Epoch 7 Batch 56/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8317, Loss: 0.1843
Epoch 7 Batch 57/1077 - Train Accuracy: 0.8537, Validation Accuracy: 0.8352, Loss: 0.2126
Epoch 7 Batch 58/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8366, Loss: 0.2018
Epoch 7 Batch 59/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8377, Loss: 0.2185
Epoch 7 Batch 60/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8359, Loss: 0.2034
Epoch 7 Batch 61/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8395, Loss: 0.2277
Epoch 7 Batch 62/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8345, Loss: 0.2156
Epoch 7 Batch 63/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.8455, Loss: 0.1905
Epoch 7 Batch 64/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8487, Loss: 0.2017
Epoch 7 Batch 65/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8487, Loss: 0.2062
Epoch 7 Batch 66/1077 - Train Accuracy: 0.8653, Validation Accuracy: 0.8402, Loss: 0.1778
Epoch 7 Batch 67/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8427, Loss: 0.2025
Epoch 7 Batch 68/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8484, Loss: 0.1995
Epoch 7 Batch 69/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8473, Loss: 0.2485
Epoch 7 Batch 70/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8423, Loss: 0.2264
Epoch 7 Batch 71/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8434, Loss: 0.1847
Epoch 7 Batch 72/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8438, Loss: 0.2206
Epoch 7 Batch 73/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8416, Loss: 0.2131
Epoch 7 Batch 74/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8416, Loss: 0.1931
Epoch 7 Batch 75/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8402, Loss: 0.2258
Epoch 7 Batch 76/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8388, Loss: 0.1891
Epoch 7 Batch 77/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8391, Loss: 0.2070
Epoch 7 Batch 78/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8342, Loss: 0.2202
Epoch 7 Batch 79/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8335, Loss: 0.2088
Epoch 7 Batch 80/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8278, Loss: 0.1988
Epoch 7 Batch 81/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8338, Loss: 0.2044
Epoch 7 Batch 82/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8416, Loss: 0.1925
Epoch 7 Batch 83/1077 - Train Accuracy: 0.8417, Validation Accuracy: 0.8477, Loss: 0.2267
Epoch 7 Batch 84/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8523, Loss: 0.2001
Epoch 7 Batch 85/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8558, Loss: 0.1908
Epoch 7 Batch 86/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8569, Loss: 0.2117
Epoch 7 Batch 87/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8420, Loss: 0.2307
Epoch 7 Batch 88/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8406, Loss: 0.2221
Epoch 7 Batch 89/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8438, Loss: 0.2223
Epoch 7 Batch 90/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.8391, Loss: 0.2191
Epoch 7 Batch 91/1077 - Train Accuracy: 0.8958, Validation Accuracy: 0.8384, Loss: 0.1866
Epoch 7 Batch 92/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8335, Loss: 0.2091
Epoch 7 Batch 93/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8239, Loss: 0.2004
Epoch 7 Batch 94/1077 - Train Accuracy: 0.8957, Validation Accuracy: 0.8253, Loss: 0.1930
Epoch 7 Batch 95/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8182, Loss: 0.2263
Epoch 7 Batch 96/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8171, Loss: 0.2074
Epoch 7 Batch 97/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8370, Loss: 0.2148
Epoch 7 Batch 98/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.8416, Loss: 0.2118
Epoch 7 Batch 99/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8423, Loss: 0.2165
Epoch 7 Batch 100/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8430, Loss: 0.2116
Epoch 7 Batch 101/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8391, Loss: 0.1907
Epoch 7 Batch 102/1077 - Train Accuracy: 0.9020, Validation Accuracy: 0.8583, Loss: 0.2061
Epoch 7 Batch 103/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8661, Loss: 0.2513
Epoch 7 Batch 104/1077 - Train Accuracy: 0.8421, Validation Accuracy: 0.8558, Loss: 0.2304
Epoch 7 Batch 105/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8391, Loss: 0.1996
Epoch 7 Batch 106/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8466, Loss: 0.2682
Epoch 7 Batch 107/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8459, Loss: 0.2048
Epoch 7 Batch 108/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8597, Loss: 0.1833
Epoch 7 Batch 109/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8572, Loss: 0.2048
Epoch 7 Batch 110/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8565, Loss: 0.1730
Epoch 7 Batch 111/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8548, Loss: 0.2168
Epoch 7 Batch 112/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8569, Loss: 0.1976
Epoch 7 Batch 113/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8352, Loss: 0.2300
Epoch 7 Batch 114/1077 - Train Accuracy: 0.8847, Validation Accuracy: 0.8349, Loss: 0.1873
Epoch 7 Batch 115/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8359, Loss: 0.2297
Epoch 7 Batch 116/1077 - Train Accuracy: 0.8094, Validation Accuracy: 0.8313, Loss: 0.2142
Epoch 7 Batch 117/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8349, Loss: 0.2016
Epoch 7 Batch 118/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8370, Loss: 0.2136
Epoch 7 Batch 119/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8395, Loss: 0.2134
Epoch 7 Batch 120/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8477, Loss: 0.2364
Epoch 7 Batch 121/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8576, Loss: 0.2135
Epoch 7 Batch 122/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8487, Loss: 0.2277
Epoch 7 Batch 123/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8494, Loss: 0.1817
Epoch 7 Batch 124/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8501, Loss: 0.2304
Epoch 7 Batch 125/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8441, Loss: 0.2145
Epoch 7 Batch 126/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8516, Loss: 0.1907
Epoch 7 Batch 127/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8558, Loss: 0.2236
Epoch 7 Batch 128/1077 - Train Accuracy: 0.9066, Validation Accuracy: 0.8615, Loss: 0.1956
Epoch 7 Batch 129/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8697, Loss: 0.2124
Epoch 7 Batch 130/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8615, Loss: 0.2047
Epoch 7 Batch 131/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8445, Loss: 0.2188
Epoch 7 Batch 132/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8406, Loss: 0.2105
Epoch 7 Batch 133/1077 - Train Accuracy: 0.8405, Validation Accuracy: 0.8327, Loss: 0.2025
Epoch 7 Batch 134/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8235, Loss: 0.1997
Epoch 7 Batch 135/1077 - Train Accuracy: 0.8581, Validation Accuracy: 0.8310, Loss: 0.2139
Epoch 7 Batch 136/1077 - Train Accuracy: 0.9129, Validation Accuracy: 0.8363, Loss: 0.2200
Epoch 7 Batch 137/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8327, Loss: 0.1877
Epoch 7 Batch 138/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8221, Loss: 0.2187
Epoch 7 Batch 139/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8217, Loss: 0.2195
Epoch 7 Batch 140/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8203, Loss: 0.2187
Epoch 7 Batch 141/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8253, Loss: 0.2105
Epoch 7 Batch 142/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8182, Loss: 0.2117
Epoch 7 Batch 143/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8192, Loss: 0.2223
Epoch 7 Batch 144/1077 - Train Accuracy: 0.8528, Validation Accuracy: 0.8207, Loss: 0.2344
Epoch 7 Batch 145/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8260, Loss: 0.2198
Epoch 7 Batch 146/1077 - Train Accuracy: 0.8690, Validation Accuracy: 0.8239, Loss: 0.2504
Epoch 7 Batch 147/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8342, Loss: 0.2384
Epoch 7 Batch 148/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8452, Loss: 0.2265
Epoch 7 Batch 149/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8370, Loss: 0.1940
Epoch 7 Batch 150/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8338, Loss: 0.2052
Epoch 7 Batch 151/1077 - Train Accuracy: 0.8404, Validation Accuracy: 0.8345, Loss: 0.2000
Epoch 7 Batch 152/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8335, Loss: 0.2395
Epoch 7 Batch 153/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8384, Loss: 0.2469
Epoch 7 Batch 154/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8335, Loss: 0.2010
Epoch 7 Batch 155/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8313, Loss: 0.2037
Epoch 7 Batch 156/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8349, Loss: 0.1975
Epoch 7 Batch 157/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8356, Loss: 0.2231
Epoch 7 Batch 158/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.8306, Loss: 0.2235
Epoch 7 Batch 159/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8267, Loss: 0.1872
Epoch 7 Batch 160/1077 - Train Accuracy: 0.8887, Validation Accuracy: 0.8260, Loss: 0.1887
Epoch 7 Batch 161/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8278, Loss: 0.1909
Epoch 7 Batch 162/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8285, Loss: 0.2380
Epoch 7 Batch 163/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8452, Loss: 0.2259
Epoch 7 Batch 164/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8533, Loss: 0.2150
Epoch 7 Batch 165/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8565, Loss: 0.1911
Epoch 7 Batch 166/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8544, Loss: 0.2388
Epoch 7 Batch 167/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8438, Loss: 0.2042
Epoch 7 Batch 168/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8519, Loss: 0.2370
Epoch 7 Batch 169/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8551, Loss: 0.2359
Epoch 7 Batch 170/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8416, Loss: 0.2405
Epoch 7 Batch 171/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8459, Loss: 0.2052
Epoch 7 Batch 172/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8466, Loss: 0.1924
Epoch 7 Batch 173/1077 - Train Accuracy: 0.8429, Validation Accuracy: 0.8363, Loss: 0.2444
Epoch 7 Batch 174/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8377, Loss: 0.2145
Epoch 7 Batch 175/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8246, Loss: 0.2127
Epoch 7 Batch 176/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8200, Loss: 0.2168
Epoch 7 Batch 177/1077 - Train Accuracy: 0.8446, Validation Accuracy: 0.8263, Loss: 0.2438
Epoch 7 Batch 178/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8303, Loss: 0.2125
Epoch 7 Batch 179/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8349, Loss: 0.2172
Epoch 7 Batch 180/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8384, Loss: 0.1900
Epoch 7 Batch 181/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8455, Loss: 0.2245
Epoch 7 Batch 182/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8441, Loss: 0.2314
Epoch 7 Batch 183/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8498, Loss: 0.2064
Epoch 7 Batch 184/1077 - Train Accuracy: 0.8941, Validation Accuracy: 0.8484, Loss: 0.1827
Epoch 7 Batch 185/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8480, Loss: 0.2043
Epoch 7 Batch 186/1077 - Train Accuracy: 0.8442, Validation Accuracy: 0.8469, Loss: 0.2224
Epoch 7 Batch 187/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8530, Loss: 0.1914
Epoch 7 Batch 188/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8569, Loss: 0.2092
Epoch 7 Batch 189/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8406, Loss: 0.2155
Epoch 7 Batch 190/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8402, Loss: 0.1968
Epoch 7 Batch 191/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8448, Loss: 0.1810
Epoch 7 Batch 192/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8441, Loss: 0.2261
Epoch 7 Batch 193/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8480, Loss: 0.1987
Epoch 7 Batch 194/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8491, Loss: 0.1815
Epoch 7 Batch 195/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8537, Loss: 0.2059
Epoch 7 Batch 196/1077 - Train Accuracy: 0.8926, Validation Accuracy: 0.8562, Loss: 0.2130
Epoch 7 Batch 197/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8565, Loss: 0.2036
Epoch 7 Batch 198/1077 - Train Accuracy: 0.8966, Validation Accuracy: 0.8665, Loss: 0.2099
Epoch 7 Batch 199/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8562, Loss: 0.1933
Epoch 7 Batch 200/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8406, Loss: 0.2350
Epoch 7 Batch 201/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8384, Loss: 0.1865
Epoch 7 Batch 202/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8349, Loss: 0.2191
Epoch 7 Batch 203/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8285, Loss: 0.2138
Epoch 7 Batch 204/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8295, Loss: 0.2468
Epoch 7 Batch 205/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8253, Loss: 0.2230
Epoch 7 Batch 206/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8246, Loss: 0.2061
Epoch 7 Batch 207/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8310, Loss: 0.2126
Epoch 7 Batch 208/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.8349, Loss: 0.2331
Epoch 7 Batch 209/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8327, Loss: 0.1865
Epoch 7 Batch 210/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8391, Loss: 0.2295
Epoch 7 Batch 211/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8427, Loss: 0.1879
Epoch 7 Batch 212/1077 - Train Accuracy: 0.8679, Validation Accuracy: 0.8445, Loss: 0.1880
Epoch 7 Batch 213/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8377, Loss: 0.2083
Epoch 7 Batch 214/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8398, Loss: 0.1935
Epoch 7 Batch 215/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8448, Loss: 0.2291
Epoch 7 Batch 216/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8438, Loss: 0.2285
Epoch 7 Batch 217/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8278, Loss: 0.1954
Epoch 7 Batch 218/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8303, Loss: 0.2423
Epoch 7 Batch 219/1077 - Train Accuracy: 0.8961, Validation Accuracy: 0.8384, Loss: 0.1963
Epoch 7 Batch 220/1077 - Train Accuracy: 0.8927, Validation Accuracy: 0.8377, Loss: 0.2028
Epoch 7 Batch 221/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8427, Loss: 0.2218
Epoch 7 Batch 222/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8480, Loss: 0.2301
Epoch 7 Batch 223/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8313, Loss: 0.1799
Epoch 7 Batch 224/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8306, Loss: 0.2236
Epoch 7 Batch 225/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8285, Loss: 0.2164
Epoch 7 Batch 226/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8292, Loss: 0.1966
Epoch 7 Batch 227/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8271, Loss: 0.2400
Epoch 7 Batch 228/1077 - Train Accuracy: 0.8938, Validation Accuracy: 0.8246, Loss: 0.2089
Epoch 7 Batch 229/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8246, Loss: 0.2286
Epoch 7 Batch 230/1077 - Train Accuracy: 0.8382, Validation Accuracy: 0.8249, Loss: 0.2072
Epoch 7 Batch 231/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8263, Loss: 0.2188
Epoch 7 Batch 232/1077 - Train Accuracy: 0.8351, Validation Accuracy: 0.8299, Loss: 0.2215
Epoch 7 Batch 233/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8271, Loss: 0.2332
Epoch 7 Batch 234/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8207, Loss: 0.2296
Epoch 7 Batch 235/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.8189, Loss: 0.1928
Epoch 7 Batch 236/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8239, Loss: 0.2238
Epoch 7 Batch 237/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8200, Loss: 0.1933
Epoch 7 Batch 238/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8157, Loss: 0.2264
Epoch 7 Batch 239/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8232, Loss: 0.1905
Epoch 7 Batch 240/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8327, Loss: 0.2138
Epoch 7 Batch 241/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8203, Loss: 0.1961
Epoch 7 Batch 242/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8168, Loss: 0.1800
Epoch 7 Batch 243/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8242, Loss: 0.2065
Epoch 7 Batch 244/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8203, Loss: 0.2060
Epoch 7 Batch 245/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8161, Loss: 0.1968
Epoch 7 Batch 246/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8271, Loss: 0.2053
Epoch 7 Batch 247/1077 - Train Accuracy: 0.8888, Validation Accuracy: 0.8288, Loss: 0.2054
Epoch 7 Batch 248/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8263, Loss: 0.1906
Epoch 7 Batch 249/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8274, Loss: 0.2189
Epoch 7 Batch 250/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8267, Loss: 0.1949
Epoch 7 Batch 251/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8299, Loss: 0.2233
Epoch 7 Batch 252/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8356, Loss: 0.2273
Epoch 7 Batch 253/1077 - Train Accuracy: 0.8704, Validation Accuracy: 0.8356, Loss: 0.1998
Epoch 7 Batch 254/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8352, Loss: 0.2335
Epoch 7 Batch 255/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8345, Loss: 0.2098
Epoch 7 Batch 256/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8331, Loss: 0.2398
Epoch 7 Batch 257/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8327, Loss: 0.2122
Epoch 7 Batch 258/1077 - Train Accuracy: 0.8821, Validation Accuracy: 0.8324, Loss: 0.2139
Epoch 7 Batch 259/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8249, Loss: 0.1931
Epoch 7 Batch 260/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8203, Loss: 0.1885
Epoch 7 Batch 261/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8203, Loss: 0.2012
Epoch 7 Batch 262/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8168, Loss: 0.1935
Epoch 7 Batch 263/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8356, Loss: 0.1922
Epoch 7 Batch 264/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8413, Loss: 0.2147
Epoch 7 Batch 265/1077 - Train Accuracy: 0.8137, Validation Accuracy: 0.8406, Loss: 0.1866
Epoch 7 Batch 266/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8398, Loss: 0.1984
Epoch 7 Batch 267/1077 - Train Accuracy: 0.8736, Validation Accuracy: 0.8466, Loss: 0.1952
Epoch 7 Batch 268/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8409, Loss: 0.2173
Epoch 7 Batch 269/1077 - Train Accuracy: 0.8536, Validation Accuracy: 0.8416, Loss: 0.2204
Epoch 7 Batch 270/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8224, Loss: 0.2293
Epoch 7 Batch 271/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8207, Loss: 0.2096
Epoch 7 Batch 272/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8175, Loss: 0.2612
Epoch 7 Batch 273/1077 - Train Accuracy: 0.8318, Validation Accuracy: 0.8178, Loss: 0.2264
Epoch 7 Batch 274/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8157, Loss: 0.2070
Epoch 7 Batch 275/1077 - Train Accuracy: 0.8389, Validation Accuracy: 0.8164, Loss: 0.2135
Epoch 7 Batch 276/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8256, Loss: 0.2656
Epoch 7 Batch 277/1077 - Train Accuracy: 0.8876, Validation Accuracy: 0.8278, Loss: 0.1843
Epoch 7 Batch 278/1077 - Train Accuracy: 0.7914, Validation Accuracy: 0.8345, Loss: 0.2452
Epoch 7 Batch 279/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8256, Loss: 0.2134
Epoch 7 Batch 280/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8331, Loss: 0.2274
Epoch 7 Batch 281/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8402, Loss: 0.2224
Epoch 7 Batch 282/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8423, Loss: 0.2312
Epoch 7 Batch 283/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8370, Loss: 0.2181
Epoch 7 Batch 284/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8274, Loss: 0.2304
Epoch 7 Batch 285/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8246, Loss: 0.2305
Epoch 7 Batch 286/1077 - Train Accuracy: 0.8850, Validation Accuracy: 0.8249, Loss: 0.1879
Epoch 7 Batch 287/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8278, Loss: 0.2236
Epoch 7 Batch 288/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8260, Loss: 0.2323
Epoch 7 Batch 289/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8263, Loss: 0.1995
Epoch 7 Batch 290/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8267, Loss: 0.2519
Epoch 7 Batch 291/1077 - Train Accuracy: 0.8010, Validation Accuracy: 0.8221, Loss: 0.2341
Epoch 7 Batch 292/1077 - Train Accuracy: 0.8638, Validation Accuracy: 0.8256, Loss: 0.2139
Epoch 7 Batch 293/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8249, Loss: 0.2303
Epoch 7 Batch 294/1077 - Train Accuracy: 0.8725, Validation Accuracy: 0.8271, Loss: 0.2179
Epoch 7 Batch 295/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8338, Loss: 0.2525
Epoch 7 Batch 296/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8356, Loss: 0.2013
Epoch 7 Batch 297/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8192, Loss: 0.2395
Epoch 7 Batch 298/1077 - Train Accuracy: 0.8234, Validation Accuracy: 0.8189, Loss: 0.2328
Epoch 7 Batch 299/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8203, Loss: 0.2031
Epoch 7 Batch 300/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8132, Loss: 0.2032
Epoch 7 Batch 301/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8256, Loss: 0.2025
Epoch 7 Batch 302/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8178, Loss: 0.2123
Epoch 7 Batch 303/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8185, Loss: 0.2328
Epoch 7 Batch 304/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8242, Loss: 0.1988
Epoch 7 Batch 305/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8235, Loss: 0.2155
Epoch 7 Batch 306/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8263, Loss: 0.2300
Epoch 7 Batch 307/1077 - Train Accuracy: 0.8415, Validation Accuracy: 0.8299, Loss: 0.2003
Epoch 7 Batch 308/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8239, Loss: 0.2293
Epoch 7 Batch 309/1077 - Train Accuracy: 0.8776, Validation Accuracy: 0.8150, Loss: 0.1781
Epoch 7 Batch 310/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8171, Loss: 0.2207
Epoch 7 Batch 311/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8274, Loss: 0.2104
Epoch 7 Batch 312/1077 - Train Accuracy: 0.7941, Validation Accuracy: 0.8278, Loss: 0.2359
Epoch 7 Batch 313/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8331, Loss: 0.1872
Epoch 7 Batch 314/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8363, Loss: 0.2102
Epoch 7 Batch 315/1077 - Train Accuracy: 0.9029, Validation Accuracy: 0.8413, Loss: 0.1966
Epoch 7 Batch 316/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8448, Loss: 0.2076
Epoch 7 Batch 317/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8342, Loss: 0.2505
Epoch 7 Batch 318/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8327, Loss: 0.1983
Epoch 7 Batch 319/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8416, Loss: 0.2157
Epoch 7 Batch 320/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8406, Loss: 0.2297
Epoch 7 Batch 321/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8384, Loss: 0.1985
Epoch 7 Batch 322/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8299, Loss: 0.1913
Epoch 7 Batch 323/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8285, Loss: 0.2185
Epoch 7 Batch 324/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8281, Loss: 0.1990
Epoch 7 Batch 325/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8313, Loss: 0.2055
Epoch 7 Batch 326/1077 - Train Accuracy: 0.8690, Validation Accuracy: 0.8118, Loss: 0.2094
Epoch 7 Batch 327/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8150, Loss: 0.2575
Epoch 7 Batch 328/1077 - Train Accuracy: 0.8385, Validation Accuracy: 0.8207, Loss: 0.2301
Epoch 7 Batch 329/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8260, Loss: 0.2379
Epoch 7 Batch 330/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8406, Loss: 0.2236
Epoch 7 Batch 331/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.8498, Loss: 0.2285
Epoch 7 Batch 332/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8335, Loss: 0.1904
Epoch 7 Batch 333/1077 - Train Accuracy: 0.8873, Validation Accuracy: 0.8391, Loss: 0.2007
Epoch 7 Batch 334/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8480, Loss: 0.2073
Epoch 7 Batch 335/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.8654, Loss: 0.1922
Epoch 7 Batch 336/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8572, Loss: 0.2372
Epoch 7 Batch 337/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8377, Loss: 0.2197
Epoch 7 Batch 338/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8374, Loss: 0.2321
Epoch 7 Batch 339/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8281, Loss: 0.2170
Epoch 7 Batch 340/1077 - Train Accuracy: 0.8927, Validation Accuracy: 0.8288, Loss: 0.2150
Epoch 7 Batch 341/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8310, Loss: 0.2552
Epoch 7 Batch 342/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8224, Loss: 0.1942
Epoch 7 Batch 343/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8203, Loss: 0.2034
Epoch 7 Batch 344/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8097, Loss: 0.2003
Epoch 7 Batch 345/1077 - Train Accuracy: 0.8847, Validation Accuracy: 0.8136, Loss: 0.1997
Epoch 7 Batch 346/1077 - Train Accuracy: 0.8063, Validation Accuracy: 0.8207, Loss: 0.2157
Epoch 7 Batch 347/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8310, Loss: 0.1929
Epoch 7 Batch 348/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8310, Loss: 0.2110
Epoch 7 Batch 349/1077 - Train Accuracy: 0.8059, Validation Accuracy: 0.8192, Loss: 0.2154
Epoch 7 Batch 350/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.8168, Loss: 0.2202
Epoch 7 Batch 351/1077 - Train Accuracy: 0.8470, Validation Accuracy: 0.8161, Loss: 0.2320
Epoch 7 Batch 352/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8097, Loss: 0.2154
Epoch 7 Batch 353/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8168, Loss: 0.2342
Epoch 7 Batch 354/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8171, Loss: 0.2457
Epoch 7 Batch 355/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8242, Loss: 0.2290
Epoch 7 Batch 356/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8320, Loss: 0.2208
Epoch 7 Batch 357/1077 - Train Accuracy: 0.8173, Validation Accuracy: 0.8352, Loss: 0.2168
Epoch 7 Batch 358/1077 - Train Accuracy: 0.8109, Validation Accuracy: 0.8292, Loss: 0.2206
Epoch 7 Batch 359/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8303, Loss: 0.2023
Epoch 7 Batch 360/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8246, Loss: 0.2171
Epoch 7 Batch 361/1077 - Train Accuracy: 0.8803, Validation Accuracy: 0.8182, Loss: 0.2077
Epoch 7 Batch 362/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8192, Loss: 0.2018
Epoch 7 Batch 363/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8153, Loss: 0.2204
Epoch 7 Batch 364/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8139, Loss: 0.2349
Epoch 7 Batch 365/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8171, Loss: 0.1787
Epoch 7 Batch 366/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8153, Loss: 0.2092
Epoch 7 Batch 367/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8189, Loss: 0.1930
Epoch 7 Batch 368/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8150, Loss: 0.2131
Epoch 7 Batch 369/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8121, Loss: 0.2131
Epoch 7 Batch 370/1077 - Train Accuracy: 0.8787, Validation Accuracy: 0.8121, Loss: 0.2069
Epoch 7 Batch 371/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8178, Loss: 0.2071
Epoch 7 Batch 372/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8182, Loss: 0.1963
Epoch 7 Batch 373/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8196, Loss: 0.1806
Epoch 7 Batch 374/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8189, Loss: 0.2162
Epoch 7 Batch 375/1077 - Train Accuracy: 0.8778, Validation Accuracy: 0.8239, Loss: 0.1961
Epoch 7 Batch 376/1077 - Train Accuracy: 0.8736, Validation Accuracy: 0.8146, Loss: 0.2036
Epoch 7 Batch 377/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8200, Loss: 0.2064
Epoch 7 Batch 378/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.8224, Loss: 0.1918
Epoch 7 Batch 379/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8228, Loss: 0.2257
Epoch 7 Batch 380/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8281, Loss: 0.1915
Epoch 7 Batch 381/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8374, Loss: 0.2063
Epoch 7 Batch 382/1077 - Train Accuracy: 0.8560, Validation Accuracy: 0.8530, Loss: 0.2526
Epoch 7 Batch 383/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8406, Loss: 0.1960
Epoch 7 Batch 384/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8409, Loss: 0.2109
Epoch 7 Batch 385/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8466, Loss: 0.1940
Epoch 7 Batch 386/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8526, Loss: 0.2224
Epoch 7 Batch 387/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8455, Loss: 0.2124
Epoch 7 Batch 388/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8427, Loss: 0.1943
Epoch 7 Batch 389/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8338, Loss: 0.2134
Epoch 7 Batch 390/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8303, Loss: 0.2394
Epoch 7 Batch 391/1077 - Train Accuracy: 0.8519, Validation Accuracy: 0.8359, Loss: 0.2097
Epoch 7 Batch 392/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8395, Loss: 0.2206
Epoch 7 Batch 393/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8359, Loss: 0.1887
Epoch 7 Batch 394/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8313, Loss: 0.2184
Epoch 7 Batch 395/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8192, Loss: 0.1963
Epoch 7 Batch 396/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8178, Loss: 0.2129
Epoch 7 Batch 397/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8182, Loss: 0.2302
Epoch 7 Batch 398/1077 - Train Accuracy: 0.8779, Validation Accuracy: 0.8200, Loss: 0.2334
Epoch 7 Batch 399/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8157, Loss: 0.2109
Epoch 7 Batch 400/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8278, Loss: 0.2192
Epoch 7 Batch 401/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8342, Loss: 0.1978
Epoch 7 Batch 402/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8324, Loss: 0.1990
Epoch 7 Batch 403/1077 - Train Accuracy: 0.7898, Validation Accuracy: 0.8548, Loss: 0.2324
Epoch 7 Batch 404/1077 - Train Accuracy: 0.9033, Validation Accuracy: 0.8487, Loss: 0.1933
Epoch 7 Batch 405/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8413, Loss: 0.2172
Epoch 7 Batch 406/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8409, Loss: 0.2127
Epoch 7 Batch 407/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8409, Loss: 0.2277
Epoch 7 Batch 408/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8416, Loss: 0.1986
Epoch 7 Batch 409/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8501, Loss: 0.2250
Epoch 7 Batch 410/1077 - Train Accuracy: 0.8433, Validation Accuracy: 0.8505, Loss: 0.2232
Epoch 7 Batch 411/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8484, Loss: 0.2133
Epoch 7 Batch 412/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8374, Loss: 0.1954
Epoch 7 Batch 413/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8370, Loss: 0.1904
Epoch 7 Batch 414/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8327, Loss: 0.2091
Epoch 7 Batch 415/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8345, Loss: 0.2155
Epoch 7 Batch 416/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8363, Loss: 0.2060
Epoch 7 Batch 417/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8409, Loss: 0.2609
Epoch 7 Batch 418/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8409, Loss: 0.1987
Epoch 7 Batch 419/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8214, Loss: 0.2030
Epoch 7 Batch 420/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8274, Loss: 0.1930
Epoch 7 Batch 421/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8299, Loss: 0.2214
Epoch 7 Batch 422/1077 - Train Accuracy: 0.8411, Validation Accuracy: 0.8217, Loss: 0.1893
Epoch 7 Batch 423/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8210, Loss: 0.2191
Epoch 7 Batch 424/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8253, Loss: 0.2052
Epoch 7 Batch 425/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.8253, Loss: 0.1911
Epoch 7 Batch 426/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8256, Loss: 0.2242
Epoch 7 Batch 427/1077 - Train Accuracy: 0.8229, Validation Accuracy: 0.8288, Loss: 0.2037
Epoch 7 Batch 428/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8232, Loss: 0.2058
Epoch 7 Batch 429/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8235, Loss: 0.2032
Epoch 7 Batch 430/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8178, Loss: 0.1962
Epoch 7 Batch 431/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8271, Loss: 0.1938
Epoch 7 Batch 432/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8281, Loss: 0.2172
Epoch 7 Batch 433/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8125, Loss: 0.2147
Epoch 7 Batch 434/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8150, Loss: 0.1964
Epoch 7 Batch 435/1077 - Train Accuracy: 0.8947, Validation Accuracy: 0.8327, Loss: 0.2175
Epoch 7 Batch 436/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8335, Loss: 0.2124
Epoch 7 Batch 437/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8335, Loss: 0.2076
Epoch 7 Batch 438/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8384, Loss: 0.1987
Epoch 7 Batch 439/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8416, Loss: 0.2289
Epoch 7 Batch 440/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8366, Loss: 0.2181
Epoch 7 Batch 441/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8271, Loss: 0.2168
Epoch 7 Batch 442/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8267, Loss: 0.2059
Epoch 7 Batch 443/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8232, Loss: 0.1884
Epoch 7 Batch 444/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8232, Loss: 0.1990
Epoch 7 Batch 445/1077 - Train Accuracy: 0.8014, Validation Accuracy: 0.8292, Loss: 0.2243
Epoch 7 Batch 446/1077 - Train Accuracy: 0.8411, Validation Accuracy: 0.8434, Loss: 0.1816
Epoch 7 Batch 447/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8359, Loss: 0.2230
Epoch 7 Batch 448/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8342, Loss: 0.2631
Epoch 7 Batch 449/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8434, Loss: 0.2222
Epoch 7 Batch 450/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8438, Loss: 0.2073
Epoch 7 Batch 451/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8434, Loss: 0.2030
Epoch 7 Batch 452/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8480, Loss: 0.2083
Epoch 7 Batch 453/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8462, Loss: 0.2024
Epoch 7 Batch 454/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8455, Loss: 0.2217
Epoch 7 Batch 455/1077 - Train Accuracy: 0.8608, Validation Accuracy: 0.8402, Loss: 0.2007
Epoch 7 Batch 456/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8551, Loss: 0.2050
Epoch 7 Batch 457/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8530, Loss: 0.2030
Epoch 7 Batch 458/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.8388, Loss: 0.2273
Epoch 7 Batch 459/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8416, Loss: 0.2052
Epoch 7 Batch 460/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8423, Loss: 0.2440
Epoch 7 Batch 461/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8441, Loss: 0.1944
Epoch 7 Batch 462/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8406, Loss: 0.2004
Epoch 7 Batch 463/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8416, Loss: 0.2217
Epoch 7 Batch 464/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8388, Loss: 0.2027
Epoch 7 Batch 465/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8391, Loss: 0.2301
Epoch 7 Batch 466/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8423, Loss: 0.1980
Epoch 7 Batch 467/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8423, Loss: 0.2399
Epoch 7 Batch 468/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8423, Loss: 0.2018
Epoch 7 Batch 469/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8342, Loss: 0.2015
Epoch 7 Batch 470/1077 - Train Accuracy: 0.8544, Validation Accuracy: 0.8253, Loss: 0.2507
Epoch 7 Batch 471/1077 - Train Accuracy: 0.8949, Validation Accuracy: 0.8299, Loss: 0.1940
Epoch 7 Batch 472/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8427, Loss: 0.2125
Epoch 7 Batch 473/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8462, Loss: 0.2342
Epoch 7 Batch 474/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8345, Loss: 0.2174
Epoch 7 Batch 475/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8356, Loss: 0.1882
Epoch 7 Batch 476/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8406, Loss: 0.2114
Epoch 7 Batch 477/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8448, Loss: 0.2025
Epoch 7 Batch 478/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8448, Loss: 0.2118
Epoch 7 Batch 479/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8452, Loss: 0.2225
Epoch 7 Batch 480/1077 - Train Accuracy: 0.8721, Validation Accuracy: 0.8448, Loss: 0.2280
Epoch 7 Batch 481/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8519, Loss: 0.2044
Epoch 7 Batch 482/1077 - Train Accuracy: 0.8499, Validation Accuracy: 0.8597, Loss: 0.2281
Epoch 7 Batch 483/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8590, Loss: 0.2267
Epoch 7 Batch 484/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8597, Loss: 0.2241
Epoch 7 Batch 485/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8569, Loss: 0.2108
Epoch 7 Batch 486/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8569, Loss: 0.1868
Epoch 7 Batch 487/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8587, Loss: 0.2290
Epoch 7 Batch 488/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8565, Loss: 0.2348
Epoch 7 Batch 489/1077 - Train Accuracy: 0.8144, Validation Accuracy: 0.8548, Loss: 0.2031
Epoch 7 Batch 490/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8604, Loss: 0.2301
Epoch 7 Batch 491/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8594, Loss: 0.2252
Epoch 7 Batch 492/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8580, Loss: 0.2195
Epoch 7 Batch 493/1077 - Train Accuracy: 0.8880, Validation Accuracy: 0.8455, Loss: 0.1929
Epoch 7 Batch 494/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8555, Loss: 0.1935
Epoch 7 Batch 495/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8512, Loss: 0.2104
Epoch 7 Batch 496/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8633, Loss: 0.2219
Epoch 7 Batch 497/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8672, Loss: 0.2463
Epoch 7 Batch 498/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8562, Loss: 0.1945
Epoch 7 Batch 499/1077 - Train Accuracy: 0.8627, Validation Accuracy: 0.8594, Loss: 0.2031
Epoch 7 Batch 500/1077 - Train Accuracy: 0.8918, Validation Accuracy: 0.8626, Loss: 0.1951
Epoch 7 Batch 501/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8668, Loss: 0.2193
Epoch 7 Batch 502/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8462, Loss: 0.2334
Epoch 7 Batch 503/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8402, Loss: 0.2014
Epoch 7 Batch 504/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8466, Loss: 0.2094
Epoch 7 Batch 505/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8377, Loss: 0.1760
Epoch 7 Batch 506/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8374, Loss: 0.2243
Epoch 7 Batch 507/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8327, Loss: 0.1943
Epoch 7 Batch 508/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8324, Loss: 0.1894
Epoch 7 Batch 509/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8278, Loss: 0.2232
Epoch 7 Batch 510/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8232, Loss: 0.2059
Epoch 7 Batch 511/1077 - Train Accuracy: 0.8133, Validation Accuracy: 0.8189, Loss: 0.2131
Epoch 7 Batch 512/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8253, Loss: 0.2008
Epoch 7 Batch 513/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8253, Loss: 0.2042
Epoch 7 Batch 514/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8136, Loss: 0.2234
Epoch 7 Batch 515/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8118, Loss: 0.2297
Epoch 7 Batch 516/1077 - Train Accuracy: 0.8914, Validation Accuracy: 0.8114, Loss: 0.1987
Epoch 7 Batch 517/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8249, Loss: 0.1927
Epoch 7 Batch 518/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8146, Loss: 0.1890
Epoch 7 Batch 519/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8118, Loss: 0.2081
Epoch 7 Batch 520/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8327, Loss: 0.1980
Epoch 7 Batch 521/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8189, Loss: 0.1875
Epoch 7 Batch 522/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8157, Loss: 0.2354
Epoch 7 Batch 523/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8210, Loss: 0.2239
Epoch 7 Batch 524/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8239, Loss: 0.2254
Epoch 7 Batch 525/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8121, Loss: 0.2141
Epoch 7 Batch 526/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8161, Loss: 0.1919
Epoch 7 Batch 527/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8153, Loss: 0.2378
Epoch 7 Batch 528/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8136, Loss: 0.2066
Epoch 7 Batch 529/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8107, Loss: 0.2071
Epoch 7 Batch 530/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8146, Loss: 0.2107
Epoch 7 Batch 531/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8125, Loss: 0.1905
Epoch 7 Batch 532/1077 - Train Accuracy: 0.8332, Validation Accuracy: 0.7997, Loss: 0.2248
Epoch 7 Batch 533/1077 - Train Accuracy: 0.8395, Validation Accuracy: 0.8001, Loss: 0.2211
Epoch 7 Batch 534/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8015, Loss: 0.2090
Epoch 7 Batch 535/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.7969, Loss: 0.2062
Epoch 7 Batch 536/1077 - Train Accuracy: 0.8355, Validation Accuracy: 0.7958, Loss: 0.2134
Epoch 7 Batch 537/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.7940, Loss: 0.2064
Epoch 7 Batch 538/1077 - Train Accuracy: 0.8876, Validation Accuracy: 0.7979, Loss: 0.1885
Epoch 7 Batch 539/1077 - Train Accuracy: 0.8324, Validation Accuracy: 0.8061, Loss: 0.2260
Epoch 7 Batch 540/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8136, Loss: 0.1951
Epoch 7 Batch 541/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8228, Loss: 0.2241
Epoch 7 Batch 542/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8274, Loss: 0.2210
Epoch 7 Batch 543/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8313, Loss: 0.2002
Epoch 7 Batch 544/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8306, Loss: 0.1997
Epoch 7 Batch 545/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8295, Loss: 0.2183
Epoch 7 Batch 546/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8331, Loss: 0.2207
Epoch 7 Batch 547/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.8427, Loss: 0.1854
Epoch 7 Batch 548/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8462, Loss: 0.2192
Epoch 7 Batch 549/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8363, Loss: 0.2282
Epoch 7 Batch 550/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8335, Loss: 0.2051
Epoch 7 Batch 551/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8342, Loss: 0.2224
Epoch 7 Batch 552/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8455, Loss: 0.2116
Epoch 7 Batch 553/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8413, Loss: 0.2383
Epoch 7 Batch 554/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8324, Loss: 0.2059
Epoch 7 Batch 555/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8313, Loss: 0.1968
Epoch 7 Batch 556/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8303, Loss: 0.1896
Epoch 7 Batch 557/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8438, Loss: 0.2080
Epoch 7 Batch 558/1077 - Train Accuracy: 0.8977, Validation Accuracy: 0.8430, Loss: 0.1787
Epoch 7 Batch 559/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8366, Loss: 0.2148
Epoch 7 Batch 560/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8366, Loss: 0.1977
Epoch 7 Batch 561/1077 - Train Accuracy: 0.8653, Validation Accuracy: 0.8320, Loss: 0.2022
Epoch 7 Batch 562/1077 - Train Accuracy: 0.8899, Validation Accuracy: 0.8299, Loss: 0.2007
Epoch 7 Batch 563/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8292, Loss: 0.2345
Epoch 7 Batch 564/1077 - Train Accuracy: 0.8536, Validation Accuracy: 0.8338, Loss: 0.2035
Epoch 7 Batch 565/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8295, Loss: 0.2181
Epoch 7 Batch 566/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8349, Loss: 0.2144
Epoch 7 Batch 567/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8448, Loss: 0.2162
Epoch 7 Batch 568/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8505, Loss: 0.2036
Epoch 7 Batch 569/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8427, Loss: 0.2065
Epoch 7 Batch 570/1077 - Train Accuracy: 0.7977, Validation Accuracy: 0.8406, Loss: 0.2321
Epoch 7 Batch 571/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8363, Loss: 0.2042
Epoch 7 Batch 572/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8423, Loss: 0.2018
Epoch 7 Batch 573/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8480, Loss: 0.2200
Epoch 7 Batch 574/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8438, Loss: 0.2191
Epoch 7 Batch 575/1077 - Train Accuracy: 0.8452, Validation Accuracy: 0.8523, Loss: 0.1882
Epoch 7 Batch 576/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8526, Loss: 0.1948
Epoch 7 Batch 577/1077 - Train Accuracy: 0.8462, Validation Accuracy: 0.8523, Loss: 0.2207
Epoch 7 Batch 578/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8576, Loss: 0.2075
Epoch 7 Batch 579/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8580, Loss: 0.1992
Epoch 7 Batch 580/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8445, Loss: 0.1747
Epoch 7 Batch 581/1077 - Train Accuracy: 0.8887, Validation Accuracy: 0.8381, Loss: 0.1764
Epoch 7 Batch 582/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8384, Loss: 0.2031
Epoch 7 Batch 583/1077 - Train Accuracy: 0.8462, Validation Accuracy: 0.8342, Loss: 0.2132
Epoch 7 Batch 584/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8366, Loss: 0.2223
Epoch 7 Batch 585/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8430, Loss: 0.1664
Epoch 7 Batch 586/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8363, Loss: 0.2175
Epoch 7 Batch 587/1077 - Train Accuracy: 0.8787, Validation Accuracy: 0.8352, Loss: 0.2045
Epoch 7 Batch 588/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8249, Loss: 0.2091
Epoch 7 Batch 589/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8295, Loss: 0.2119
Epoch 7 Batch 590/1077 - Train Accuracy: 0.8269, Validation Accuracy: 0.8299, Loss: 0.2411
Epoch 7 Batch 591/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8242, Loss: 0.2073
Epoch 7 Batch 592/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8299, Loss: 0.2306
Epoch 7 Batch 593/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.8278, Loss: 0.2063
Epoch 7 Batch 594/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8161, Loss: 0.2308
Epoch 7 Batch 595/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8214, Loss: 0.2133
Epoch 7 Batch 596/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8306, Loss: 0.2258
Epoch 7 Batch 597/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8320, Loss: 0.2050
Epoch 7 Batch 598/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8338, Loss: 0.2148
Epoch 7 Batch 599/1077 - Train Accuracy: 0.8086, Validation Accuracy: 0.8313, Loss: 0.2520
Epoch 7 Batch 600/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8278, Loss: 0.2184
Epoch 7 Batch 601/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.8349, Loss: 0.2229
Epoch 7 Batch 602/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8452, Loss: 0.2135
Epoch 7 Batch 603/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8498, Loss: 0.2057
Epoch 7 Batch 604/1077 - Train Accuracy: 0.8328, Validation Accuracy: 0.8409, Loss: 0.2273
Epoch 7 Batch 605/1077 - Train Accuracy: 0.8721, Validation Accuracy: 0.8320, Loss: 0.2299
Epoch 7 Batch 606/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8285, Loss: 0.1752
Epoch 7 Batch 607/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8249, Loss: 0.1899
Epoch 7 Batch 608/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8281, Loss: 0.2484
Epoch 7 Batch 609/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8324, Loss: 0.2207
Epoch 7 Batch 610/1077 - Train Accuracy: 0.8491, Validation Accuracy: 0.8370, Loss: 0.2252
Epoch 7 Batch 611/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8303, Loss: 0.2030
Epoch 7 Batch 612/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8338, Loss: 0.1975
Epoch 7 Batch 613/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8494, Loss: 0.2133
Epoch 7 Batch 614/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8420, Loss: 0.1984
Epoch 7 Batch 615/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8366, Loss: 0.1936
Epoch 7 Batch 616/1077 - Train Accuracy: 0.8384, Validation Accuracy: 0.8398, Loss: 0.2179
Epoch 7 Batch 617/1077 - Train Accuracy: 0.8415, Validation Accuracy: 0.8391, Loss: 0.2136
Epoch 7 Batch 618/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8370, Loss: 0.1996
Epoch 7 Batch 619/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8416, Loss: 0.2050
Epoch 7 Batch 620/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8466, Loss: 0.2170
Epoch 7 Batch 621/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8473, Loss: 0.2041
Epoch 7 Batch 622/1077 - Train Accuracy: 0.8623, Validation Accuracy: 0.8430, Loss: 0.2203
Epoch 7 Batch 623/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8416, Loss: 0.2167
Epoch 7 Batch 624/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8395, Loss: 0.2069
Epoch 7 Batch 625/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8420, Loss: 0.2073
Epoch 7 Batch 626/1077 - Train Accuracy: 0.8427, Validation Accuracy: 0.8445, Loss: 0.1933
Epoch 7 Batch 627/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8402, Loss: 0.2115
Epoch 7 Batch 628/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8377, Loss: 0.2181
Epoch 7 Batch 629/1077 - Train Accuracy: 0.8409, Validation Accuracy: 0.8338, Loss: 0.2218
Epoch 7 Batch 630/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8395, Loss: 0.2051
Epoch 7 Batch 631/1077 - Train Accuracy: 0.8330, Validation Accuracy: 0.8352, Loss: 0.2149
Epoch 7 Batch 632/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8406, Loss: 0.1952
Epoch 7 Batch 633/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8381, Loss: 0.2144
Epoch 7 Batch 634/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8402, Loss: 0.1753
Epoch 7 Batch 635/1077 - Train Accuracy: 0.8396, Validation Accuracy: 0.8505, Loss: 0.2359
Epoch 7 Batch 636/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8477, Loss: 0.2010
Epoch 7 Batch 637/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8480, Loss: 0.1896
Epoch 7 Batch 638/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8484, Loss: 0.2214
Epoch 7 Batch 639/1077 - Train Accuracy: 0.8875, Validation Accuracy: 0.8491, Loss: 0.2325
Epoch 7 Batch 640/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8551, Loss: 0.1954
Epoch 7 Batch 641/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8565, Loss: 0.2111
Epoch 7 Batch 642/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8565, Loss: 0.2011
Epoch 7 Batch 643/1077 - Train Accuracy: 0.8765, Validation Accuracy: 0.8551, Loss: 0.1866
Epoch 7 Batch 644/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8594, Loss: 0.2117
Epoch 7 Batch 645/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8622, Loss: 0.2114
Epoch 7 Batch 646/1077 - Train Accuracy: 0.8657, Validation Accuracy: 0.8647, Loss: 0.2150
Epoch 7 Batch 647/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8668, Loss: 0.2293
Epoch 7 Batch 648/1077 - Train Accuracy: 0.8873, Validation Accuracy: 0.8612, Loss: 0.1968
Epoch 7 Batch 649/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8615, Loss: 0.2034
Epoch 7 Batch 650/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8580, Loss: 0.2013
Epoch 7 Batch 651/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8434, Loss: 0.2048
Epoch 7 Batch 652/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8487, Loss: 0.2325
Epoch 7 Batch 653/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8466, Loss: 0.2352
Epoch 7 Batch 654/1077 - Train Accuracy: 0.8941, Validation Accuracy: 0.8427, Loss: 0.1940
Epoch 7 Batch 655/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8438, Loss: 0.2234
Epoch 7 Batch 656/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8377, Loss: 0.2165
Epoch 7 Batch 657/1077 - Train Accuracy: 0.8771, Validation Accuracy: 0.8349, Loss: 0.2183
Epoch 7 Batch 658/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8256, Loss: 0.1962
Epoch 7 Batch 659/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8303, Loss: 0.2134
Epoch 7 Batch 660/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8246, Loss: 0.2006
Epoch 7 Batch 661/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8249, Loss: 0.1875
Epoch 7 Batch 662/1077 - Train Accuracy: 0.8728, Validation Accuracy: 0.8256, Loss: 0.1819
Epoch 7 Batch 663/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8295, Loss: 0.1964
Epoch 7 Batch 664/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8377, Loss: 0.2075
Epoch 7 Batch 665/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8423, Loss: 0.1950
Epoch 7 Batch 666/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8345, Loss: 0.2253
Epoch 7 Batch 667/1077 - Train Accuracy: 0.8080, Validation Accuracy: 0.8303, Loss: 0.2214
Epoch 7 Batch 668/1077 - Train Accuracy: 0.8661, Validation Accuracy: 0.8345, Loss: 0.1995
Epoch 7 Batch 669/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8338, Loss: 0.2051
Epoch 7 Batch 670/1077 - Train Accuracy: 0.8381, Validation Accuracy: 0.8335, Loss: 0.2036
Epoch 7 Batch 671/1077 - Train Accuracy: 0.8577, Validation Accuracy: 0.8512, Loss: 0.2339
Epoch 7 Batch 672/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8484, Loss: 0.2044
Epoch 7 Batch 673/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8519, Loss: 0.1847
Epoch 7 Batch 674/1077 - Train Accuracy: 0.9078, Validation Accuracy: 0.8462, Loss: 0.1826
Epoch 7 Batch 675/1077 - Train Accuracy: 0.8571, Validation Accuracy: 0.8466, Loss: 0.2251
Epoch 7 Batch 676/1077 - Train Accuracy: 0.8877, Validation Accuracy: 0.8537, Loss: 0.2023
Epoch 7 Batch 677/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8434, Loss: 0.2119
Epoch 7 Batch 678/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8491, Loss: 0.1876
Epoch 7 Batch 679/1077 - Train Accuracy: 0.8528, Validation Accuracy: 0.8452, Loss: 0.2221
Epoch 7 Batch 680/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8459, Loss: 0.1880
Epoch 7 Batch 681/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8477, Loss: 0.2011
Epoch 7 Batch 682/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8587, Loss: 0.1922
Epoch 7 Batch 683/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8551, Loss: 0.1969
Epoch 7 Batch 684/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8558, Loss: 0.2032
Epoch 7 Batch 685/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8388, Loss: 0.2076
Epoch 7 Batch 686/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8388, Loss: 0.1918
Epoch 7 Batch 687/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8352, Loss: 0.2202
Epoch 7 Batch 688/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8313, Loss: 0.1961
Epoch 7 Batch 689/1077 - Train Accuracy: 0.9012, Validation Accuracy: 0.8295, Loss: 0.1905
Epoch 7 Batch 690/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8335, Loss: 0.1940
Epoch 7 Batch 691/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8196, Loss: 0.2242
Epoch 7 Batch 692/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8196, Loss: 0.1996
Epoch 7 Batch 693/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8306, Loss: 0.2571
Epoch 7 Batch 694/1077 - Train Accuracy: 0.8858, Validation Accuracy: 0.8317, Loss: 0.2148
Epoch 7 Batch 695/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8320, Loss: 0.2028
Epoch 7 Batch 696/1077 - Train Accuracy: 0.8503, Validation Accuracy: 0.8228, Loss: 0.2123
Epoch 7 Batch 697/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8228, Loss: 0.1823
Epoch 7 Batch 698/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8221, Loss: 0.1976
Epoch 7 Batch 699/1077 - Train Accuracy: 0.8466, Validation Accuracy: 0.8217, Loss: 0.2194
Epoch 7 Batch 700/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8185, Loss: 0.1789
Epoch 7 Batch 701/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8395, Loss: 0.2119
Epoch 7 Batch 702/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8342, Loss: 0.2326
Epoch 7 Batch 703/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8363, Loss: 0.2213
Epoch 7 Batch 704/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8324, Loss: 0.2337
Epoch 7 Batch 705/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8278, Loss: 0.2141
Epoch 7 Batch 706/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8278, Loss: 0.2660
Epoch 7 Batch 707/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8288, Loss: 0.2107
Epoch 7 Batch 708/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8331, Loss: 0.2104
Epoch 7 Batch 709/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8366, Loss: 0.2090
Epoch 7 Batch 710/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8363, Loss: 0.2196
Epoch 7 Batch 711/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8349, Loss: 0.2338
Epoch 7 Batch 712/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8345, Loss: 0.1899
Epoch 7 Batch 713/1077 - Train Accuracy: 0.8725, Validation Accuracy: 0.8267, Loss: 0.1858
Epoch 7 Batch 714/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8242, Loss: 0.2103
Epoch 7 Batch 715/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8178, Loss: 0.2085
Epoch 7 Batch 716/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8203, Loss: 0.1835
Epoch 7 Batch 717/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8349, Loss: 0.1811
Epoch 7 Batch 718/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8363, Loss: 0.2044
Epoch 7 Batch 719/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8477, Loss: 0.1849
Epoch 7 Batch 720/1077 - Train Accuracy: 0.8569, Validation Accuracy: 0.8388, Loss: 0.2192
Epoch 7 Batch 721/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8434, Loss: 0.2179
Epoch 7 Batch 722/1077 - Train Accuracy: 0.8891, Validation Accuracy: 0.8452, Loss: 0.1891
Epoch 7 Batch 723/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8448, Loss: 0.2193
Epoch 7 Batch 724/1077 - Train Accuracy: 0.8425, Validation Accuracy: 0.8416, Loss: 0.2184
Epoch 7 Batch 725/1077 - Train Accuracy: 0.9126, Validation Accuracy: 0.8462, Loss: 0.1681
Epoch 7 Batch 726/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8544, Loss: 0.2188
Epoch 7 Batch 727/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8633, Loss: 0.1929
Epoch 7 Batch 728/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8697, Loss: 0.2062
Epoch 7 Batch 729/1077 - Train Accuracy: 0.8211, Validation Accuracy: 0.8651, Loss: 0.2301
Epoch 7 Batch 730/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8562, Loss: 0.2277
Epoch 7 Batch 731/1077 - Train Accuracy: 0.8214, Validation Accuracy: 0.8555, Loss: 0.2041
Epoch 7 Batch 732/1077 - Train Accuracy: 0.8491, Validation Accuracy: 0.8658, Loss: 0.2273
Epoch 7 Batch 733/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8580, Loss: 0.2076
Epoch 7 Batch 734/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8615, Loss: 0.2160
Epoch 7 Batch 735/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8597, Loss: 0.1916
Epoch 7 Batch 736/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8562, Loss: 0.1853
Epoch 7 Batch 737/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8555, Loss: 0.2315
Epoch 7 Batch 738/1077 - Train Accuracy: 0.8678, Validation Accuracy: 0.8590, Loss: 0.1842
Epoch 7 Batch 739/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8505, Loss: 0.1830
Epoch 7 Batch 740/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8335, Loss: 0.1951
Epoch 7 Batch 741/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8345, Loss: 0.2276
Epoch 7 Batch 742/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8349, Loss: 0.2257
Epoch 7 Batch 743/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8406, Loss: 0.2236
Epoch 7 Batch 744/1077 - Train Accuracy: 0.8795, Validation Accuracy: 0.8406, Loss: 0.2004
Epoch 7 Batch 745/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8406, Loss: 0.1999
Epoch 7 Batch 746/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8448, Loss: 0.2038
Epoch 7 Batch 747/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8427, Loss: 0.1876
Epoch 7 Batch 748/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8413, Loss: 0.2005
Epoch 7 Batch 749/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8473, Loss: 0.2252
Epoch 7 Batch 750/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8445, Loss: 0.1964
Epoch 7 Batch 751/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8374, Loss: 0.2013
Epoch 7 Batch 752/1077 - Train Accuracy: 0.8690, Validation Accuracy: 0.8271, Loss: 0.1969
Epoch 7 Batch 753/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8217, Loss: 0.2015
Epoch 7 Batch 754/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8377, Loss: 0.1989
Epoch 7 Batch 755/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8356, Loss: 0.2099
Epoch 7 Batch 756/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8359, Loss: 0.2044
Epoch 7 Batch 757/1077 - Train Accuracy: 0.8384, Validation Accuracy: 0.8299, Loss: 0.2354
Epoch 7 Batch 758/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8452, Loss: 0.1876
Epoch 7 Batch 759/1077 - Train Accuracy: 0.8802, Validation Accuracy: 0.8459, Loss: 0.1846
Epoch 7 Batch 760/1077 - Train Accuracy: 0.8801, Validation Accuracy: 0.8462, Loss: 0.2247
Epoch 7 Batch 761/1077 - Train Accuracy: 0.8261, Validation Accuracy: 0.8455, Loss: 0.2108
Epoch 7 Batch 762/1077 - Train Accuracy: 0.8938, Validation Accuracy: 0.8466, Loss: 0.1836
Epoch 7 Batch 763/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8505, Loss: 0.1905
Epoch 7 Batch 764/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8416, Loss: 0.2124
Epoch 7 Batch 765/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8416, Loss: 0.2113
Epoch 7 Batch 766/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8462, Loss: 0.2020
Epoch 7 Batch 767/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8438, Loss: 0.1926
Epoch 7 Batch 768/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8423, Loss: 0.1999
Epoch 7 Batch 769/1077 - Train Accuracy: 0.8961, Validation Accuracy: 0.8349, Loss: 0.2277
Epoch 7 Batch 770/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8434, Loss: 0.2099
Epoch 7 Batch 771/1077 - Train Accuracy: 0.8934, Validation Accuracy: 0.8406, Loss: 0.2382
Epoch 7 Batch 772/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8423, Loss: 0.1875
Epoch 7 Batch 773/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8402, Loss: 0.2020
Epoch 7 Batch 774/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8466, Loss: 0.2225
Epoch 7 Batch 775/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8430, Loss: 0.2024
Epoch 7 Batch 776/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8533, Loss: 0.1995
Epoch 7 Batch 777/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8509, Loss: 0.1924
Epoch 7 Batch 778/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8597, Loss: 0.1906
Epoch 7 Batch 779/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8594, Loss: 0.2129
Epoch 7 Batch 780/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8555, Loss: 0.2560
Epoch 7 Batch 781/1077 - Train Accuracy: 0.9044, Validation Accuracy: 0.8572, Loss: 0.1860
Epoch 7 Batch 782/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8551, Loss: 0.1878
Epoch 7 Batch 783/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8466, Loss: 0.2216
Epoch 7 Batch 784/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8484, Loss: 0.2071
Epoch 7 Batch 785/1077 - Train Accuracy: 0.8958, Validation Accuracy: 0.8487, Loss: 0.1906
Epoch 7 Batch 786/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8480, Loss: 0.2219
Epoch 7 Batch 787/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8398, Loss: 0.2104
Epoch 7 Batch 788/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8381, Loss: 0.1998
Epoch 7 Batch 789/1077 - Train Accuracy: 0.8417, Validation Accuracy: 0.8448, Loss: 0.2284
Epoch 7 Batch 790/1077 - Train Accuracy: 0.8117, Validation Accuracy: 0.8423, Loss: 0.2435
Epoch 7 Batch 791/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8498, Loss: 0.2181
Epoch 7 Batch 792/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8512, Loss: 0.2248
Epoch 7 Batch 793/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8349, Loss: 0.2039
Epoch 7 Batch 794/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8281, Loss: 0.1929
Epoch 7 Batch 795/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8192, Loss: 0.2241
Epoch 7 Batch 796/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8189, Loss: 0.2158
Epoch 7 Batch 797/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8200, Loss: 0.2119
Epoch 7 Batch 798/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8192, Loss: 0.2131
Epoch 7 Batch 799/1077 - Train Accuracy: 0.8051, Validation Accuracy: 0.8242, Loss: 0.2286
Epoch 7 Batch 800/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8189, Loss: 0.2119
Epoch 7 Batch 801/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8256, Loss: 0.2228
Epoch 7 Batch 802/1077 - Train Accuracy: 0.8679, Validation Accuracy: 0.8249, Loss: 0.2131
Epoch 7 Batch 803/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8320, Loss: 0.2146
Epoch 7 Batch 804/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8338, Loss: 0.1856
Epoch 7 Batch 805/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8338, Loss: 0.2081
Epoch 7 Batch 806/1077 - Train Accuracy: 0.8429, Validation Accuracy: 0.8349, Loss: 0.1968
Epoch 7 Batch 807/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8349, Loss: 0.1893
Epoch 7 Batch 808/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8228, Loss: 0.2139
Epoch 7 Batch 809/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8221, Loss: 0.2320
Epoch 7 Batch 810/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8235, Loss: 0.1923
Epoch 7 Batch 811/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8232, Loss: 0.1994
Epoch 7 Batch 812/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8189, Loss: 0.2030
Epoch 7 Batch 813/1077 - Train Accuracy: 0.8270, Validation Accuracy: 0.8288, Loss: 0.2054
Epoch 7 Batch 814/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8331, Loss: 0.2321
Epoch 7 Batch 815/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8445, Loss: 0.2216
Epoch 7 Batch 816/1077 - Train Accuracy: 0.8627, Validation Accuracy: 0.8462, Loss: 0.2234
Epoch 7 Batch 817/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8409, Loss: 0.2466
Epoch 7 Batch 818/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8469, Loss: 0.2080
Epoch 7 Batch 819/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8512, Loss: 0.1997
Epoch 7 Batch 820/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8278, Loss: 0.2193
Epoch 7 Batch 821/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8249, Loss: 0.2045
Epoch 7 Batch 822/1077 - Train Accuracy: 0.8898, Validation Accuracy: 0.8271, Loss: 0.1996
Epoch 7 Batch 823/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8299, Loss: 0.2146
Epoch 7 Batch 824/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8342, Loss: 0.2171
Epoch 7 Batch 825/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8342, Loss: 0.2200
Epoch 7 Batch 826/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8267, Loss: 0.1930
Epoch 7 Batch 827/1077 - Train Accuracy: 0.8166, Validation Accuracy: 0.8313, Loss: 0.2321
Epoch 7 Batch 828/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8363, Loss: 0.2296
Epoch 7 Batch 829/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8462, Loss: 0.2361
Epoch 7 Batch 830/1077 - Train Accuracy: 0.8148, Validation Accuracy: 0.8455, Loss: 0.2064
Epoch 7 Batch 831/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8487, Loss: 0.2169
Epoch 7 Batch 832/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8413, Loss: 0.2112
Epoch 7 Batch 833/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8342, Loss: 0.2145
Epoch 7 Batch 834/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8374, Loss: 0.1970
Epoch 7 Batch 835/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8342, Loss: 0.2250
Epoch 7 Batch 836/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8338, Loss: 0.2163
Epoch 7 Batch 837/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8406, Loss: 0.2484
Epoch 7 Batch 838/1077 - Train Accuracy: 0.8965, Validation Accuracy: 0.8409, Loss: 0.1846
Epoch 7 Batch 839/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8427, Loss: 0.2009
Epoch 7 Batch 840/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8551, Loss: 0.1878
Epoch 7 Batch 841/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8533, Loss: 0.2105
Epoch 7 Batch 842/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8544, Loss: 0.1966
Epoch 7 Batch 843/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8555, Loss: 0.2060
Epoch 7 Batch 844/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8597, Loss: 0.1976
Epoch 7 Batch 845/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8619, Loss: 0.1952
Epoch 7 Batch 846/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8629, Loss: 0.2186
Epoch 7 Batch 847/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8580, Loss: 0.2156
Epoch 7 Batch 848/1077 - Train Accuracy: 0.8859, Validation Accuracy: 0.8643, Loss: 0.1966
Epoch 7 Batch 849/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8626, Loss: 0.1955
Epoch 7 Batch 850/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8622, Loss: 0.2354
Epoch 7 Batch 851/1077 - Train Accuracy: 0.8880, Validation Accuracy: 0.8455, Loss: 0.2191
Epoch 7 Batch 852/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8381, Loss: 0.2054
Epoch 7 Batch 853/1077 - Train Accuracy: 0.8938, Validation Accuracy: 0.8452, Loss: 0.1998
Epoch 7 Batch 854/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8551, Loss: 0.2197
Epoch 7 Batch 855/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8448, Loss: 0.2123
Epoch 7 Batch 856/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8427, Loss: 0.2137
Epoch 7 Batch 857/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8356, Loss: 0.1846
Epoch 7 Batch 858/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8313, Loss: 0.1946
Epoch 7 Batch 859/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8224, Loss: 0.2429
Epoch 7 Batch 860/1077 - Train Accuracy: 0.8385, Validation Accuracy: 0.8178, Loss: 0.1903
Epoch 7 Batch 861/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8214, Loss: 0.2058
Epoch 7 Batch 862/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8345, Loss: 0.1939
Epoch 7 Batch 863/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8352, Loss: 0.1952
Epoch 7 Batch 864/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8345, Loss: 0.1994
Epoch 7 Batch 865/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8335, Loss: 0.2049
Epoch 7 Batch 866/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8327, Loss: 0.2113
Epoch 7 Batch 867/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8136, Loss: 0.2668
Epoch 7 Batch 868/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8136, Loss: 0.2142
Epoch 7 Batch 869/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8246, Loss: 0.2115
Epoch 7 Batch 870/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8153, Loss: 0.2125
Epoch 7 Batch 871/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8150, Loss: 0.1847
Epoch 7 Batch 872/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8217, Loss: 0.1885
Epoch 7 Batch 873/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8189, Loss: 0.2222
Epoch 7 Batch 874/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8161, Loss: 0.2264
Epoch 7 Batch 875/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8299, Loss: 0.2254
Epoch 7 Batch 876/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8356, Loss: 0.2037
Epoch 7 Batch 877/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8363, Loss: 0.2156
Epoch 7 Batch 878/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8324, Loss: 0.2032
Epoch 7 Batch 879/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8224, Loss: 0.1898
Epoch 7 Batch 880/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8178, Loss: 0.1957
Epoch 7 Batch 881/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8292, Loss: 0.1995
Epoch 7 Batch 882/1077 - Train Accuracy: 0.8855, Validation Accuracy: 0.8327, Loss: 0.2451
Epoch 7 Batch 883/1077 - Train Accuracy: 0.8113, Validation Accuracy: 0.8327, Loss: 0.2485
Epoch 7 Batch 884/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8335, Loss: 0.2010
Epoch 7 Batch 885/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8267, Loss: 0.1670
Epoch 7 Batch 886/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8299, Loss: 0.2166
Epoch 7 Batch 887/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8278, Loss: 0.2325
Epoch 7 Batch 888/1077 - Train Accuracy: 0.8921, Validation Accuracy: 0.8292, Loss: 0.1993
Epoch 7 Batch 889/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8210, Loss: 0.2220
Epoch 7 Batch 890/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8114, Loss: 0.1989
Epoch 7 Batch 891/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8139, Loss: 0.2038
Epoch 7 Batch 892/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8189, Loss: 0.1806
Epoch 7 Batch 893/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8260, Loss: 0.1964
Epoch 7 Batch 894/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8256, Loss: 0.1921
Epoch 7 Batch 895/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8178, Loss: 0.1980
Epoch 7 Batch 896/1077 - Train Accuracy: 0.8269, Validation Accuracy: 0.8182, Loss: 0.2359
Epoch 7 Batch 897/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8356, Loss: 0.1741
Epoch 7 Batch 898/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8384, Loss: 0.1693
Epoch 7 Batch 899/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8384, Loss: 0.2002
Epoch 7 Batch 900/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8299, Loss: 0.2340
Epoch 7 Batch 901/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8278, Loss: 0.2298
Epoch 7 Batch 902/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8217, Loss: 0.2097
Epoch 7 Batch 903/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8221, Loss: 0.2062
Epoch 7 Batch 904/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8185, Loss: 0.2007
Epoch 7 Batch 905/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8239, Loss: 0.2014
Epoch 7 Batch 906/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8217, Loss: 0.1972
Epoch 7 Batch 907/1077 - Train Accuracy: 0.8859, Validation Accuracy: 0.8306, Loss: 0.1990
Epoch 7 Batch 908/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8402, Loss: 0.2190
Epoch 7 Batch 909/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8455, Loss: 0.2187
Epoch 7 Batch 910/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8445, Loss: 0.1942
Epoch 7 Batch 911/1077 - Train Accuracy: 0.8697, Validation Accuracy: 0.8459, Loss: 0.1785
Epoch 7 Batch 912/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8484, Loss: 0.2082
Epoch 7 Batch 913/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8477, Loss: 0.2707
Epoch 7 Batch 914/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8395, Loss: 0.2150
Epoch 7 Batch 915/1077 - Train Accuracy: 0.8265, Validation Accuracy: 0.8366, Loss: 0.2020
Epoch 7 Batch 916/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8359, Loss: 0.2064
Epoch 7 Batch 917/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8299, Loss: 0.1898
Epoch 7 Batch 918/1077 - Train Accuracy: 0.8769, Validation Accuracy: 0.8303, Loss: 0.1774
Epoch 7 Batch 919/1077 - Train Accuracy: 0.8795, Validation Accuracy: 0.8473, Loss: 0.2076
Epoch 7 Batch 920/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8477, Loss: 0.1961
Epoch 7 Batch 921/1077 - Train Accuracy: 0.8203, Validation Accuracy: 0.8505, Loss: 0.2232
Epoch 7 Batch 922/1077 - Train Accuracy: 0.8274, Validation Accuracy: 0.8466, Loss: 0.2129
Epoch 7 Batch 923/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8477, Loss: 0.2193
Epoch 7 Batch 924/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8455, Loss: 0.2395
Epoch 7 Batch 925/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8427, Loss: 0.1965
Epoch 7 Batch 926/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8406, Loss: 0.2009
Epoch 7 Batch 927/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8445, Loss: 0.2065
Epoch 7 Batch 928/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8455, Loss: 0.2198
Epoch 7 Batch 929/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8469, Loss: 0.2065
Epoch 7 Batch 930/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8505, Loss: 0.2068
Epoch 7 Batch 931/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8459, Loss: 0.1982
Epoch 7 Batch 932/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8491, Loss: 0.1999
Epoch 7 Batch 933/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8303, Loss: 0.2162
Epoch 7 Batch 934/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8335, Loss: 0.1958
Epoch 7 Batch 935/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8327, Loss: 0.2131
Epoch 7 Batch 936/1077 - Train Accuracy: 0.8876, Validation Accuracy: 0.8217, Loss: 0.1844
Epoch 7 Batch 937/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8224, Loss: 0.2276
Epoch 7 Batch 938/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8217, Loss: 0.2239
Epoch 7 Batch 939/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8242, Loss: 0.2219
Epoch 7 Batch 940/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8285, Loss: 0.1852
Epoch 7 Batch 941/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8285, Loss: 0.2030
Epoch 7 Batch 942/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8313, Loss: 0.2080
Epoch 7 Batch 943/1077 - Train Accuracy: 0.8785, Validation Accuracy: 0.8335, Loss: 0.2041
Epoch 7 Batch 944/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8299, Loss: 0.1870
Epoch 7 Batch 945/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8295, Loss: 0.1975
Epoch 7 Batch 946/1077 - Train Accuracy: 0.8964, Validation Accuracy: 0.8288, Loss: 0.2061
Epoch 7 Batch 947/1077 - Train Accuracy: 0.8035, Validation Accuracy: 0.8217, Loss: 0.2207
Epoch 7 Batch 948/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8327, Loss: 0.2076
Epoch 7 Batch 949/1077 - Train Accuracy: 0.9014, Validation Accuracy: 0.8498, Loss: 0.1784
Epoch 7 Batch 950/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8345, Loss: 0.1994
Epoch 7 Batch 951/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8359, Loss: 0.2113
Epoch 7 Batch 952/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8335, Loss: 0.1907
Epoch 7 Batch 953/1077 - Train Accuracy: 0.9256, Validation Accuracy: 0.8381, Loss: 0.2026
Epoch 7 Batch 954/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8313, Loss: 0.1936
Epoch 7 Batch 955/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8423, Loss: 0.2019
Epoch 7 Batch 956/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8459, Loss: 0.2291
Epoch 7 Batch 957/1077 - Train Accuracy: 0.8880, Validation Accuracy: 0.8420, Loss: 0.1809
Epoch 7 Batch 958/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8416, Loss: 0.2180
Epoch 7 Batch 959/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8366, Loss: 0.1938
Epoch 7 Batch 960/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8420, Loss: 0.2196
Epoch 7 Batch 961/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8363, Loss: 0.2005
Epoch 7 Batch 962/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8374, Loss: 0.2035
Epoch 7 Batch 963/1077 - Train Accuracy: 0.8837, Validation Accuracy: 0.8327, Loss: 0.2420
Epoch 7 Batch 964/1077 - Train Accuracy: 0.8903, Validation Accuracy: 0.8320, Loss: 0.1704
Epoch 7 Batch 965/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.8342, Loss: 0.2145
Epoch 7 Batch 966/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8352, Loss: 0.1913
Epoch 7 Batch 967/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8292, Loss: 0.1949
Epoch 7 Batch 968/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8363, Loss: 0.2257
Epoch 7 Batch 969/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8185, Loss: 0.2249
Epoch 7 Batch 970/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8185, Loss: 0.2205
Epoch 7 Batch 971/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8192, Loss: 0.2182
Epoch 7 Batch 972/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8175, Loss: 0.1854
Epoch 7 Batch 973/1077 - Train Accuracy: 0.9122, Validation Accuracy: 0.8214, Loss: 0.1847
Epoch 7 Batch 974/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8221, Loss: 0.1982
Epoch 7 Batch 975/1077 - Train Accuracy: 0.8787, Validation Accuracy: 0.8214, Loss: 0.1947
Epoch 7 Batch 976/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8285, Loss: 0.1839
Epoch 7 Batch 977/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8228, Loss: 0.1938
Epoch 7 Batch 978/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8260, Loss: 0.2008
Epoch 7 Batch 979/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8161, Loss: 0.2139
Epoch 7 Batch 980/1077 - Train Accuracy: 0.8453, Validation Accuracy: 0.8253, Loss: 0.2075
Epoch 7 Batch 981/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8168, Loss: 0.1979
Epoch 7 Batch 982/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8232, Loss: 0.2147
Epoch 7 Batch 983/1077 - Train Accuracy: 0.8483, Validation Accuracy: 0.8278, Loss: 0.2085
Epoch 7 Batch 984/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8299, Loss: 0.2228
Epoch 7 Batch 985/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8359, Loss: 0.1898
Epoch 7 Batch 986/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8402, Loss: 0.2311
Epoch 7 Batch 987/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.8310, Loss: 0.2083
Epoch 7 Batch 988/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8395, Loss: 0.1921
Epoch 7 Batch 989/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8374, Loss: 0.2057
Epoch 7 Batch 990/1077 - Train Accuracy: 0.8405, Validation Accuracy: 0.8374, Loss: 0.2174
Epoch 7 Batch 991/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8374, Loss: 0.2046
Epoch 7 Batch 992/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8352, Loss: 0.2140
Epoch 7 Batch 993/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8349, Loss: 0.1873
Epoch 7 Batch 994/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8455, Loss: 0.1854
Epoch 7 Batch 995/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8377, Loss: 0.2106
Epoch 7 Batch 996/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8391, Loss: 0.2163
Epoch 7 Batch 997/1077 - Train Accuracy: 0.8577, Validation Accuracy: 0.8388, Loss: 0.2121
Epoch 7 Batch 998/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8438, Loss: 0.1812
Epoch 7 Batch 999/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8448, Loss: 0.1992
Epoch 7 Batch 1000/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8448, Loss: 0.1853
Epoch 7 Batch 1001/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8448, Loss: 0.1931
Epoch 7 Batch 1002/1077 - Train Accuracy: 0.8961, Validation Accuracy: 0.8335, Loss: 0.1862
Epoch 7 Batch 1003/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8342, Loss: 0.2059
Epoch 7 Batch 1004/1077 - Train Accuracy: 0.8926, Validation Accuracy: 0.8338, Loss: 0.2021
Epoch 7 Batch 1005/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8381, Loss: 0.1825
Epoch 7 Batch 1006/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8366, Loss: 0.1853
Epoch 7 Batch 1007/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8423, Loss: 0.1719
Epoch 7 Batch 1008/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8434, Loss: 0.2265
Epoch 7 Batch 1009/1077 - Train Accuracy: 0.9129, Validation Accuracy: 0.8526, Loss: 0.1783
Epoch 7 Batch 1010/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8487, Loss: 0.2140
Epoch 7 Batch 1011/1077 - Train Accuracy: 0.8926, Validation Accuracy: 0.8466, Loss: 0.1991
Epoch 7 Batch 1012/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8441, Loss: 0.1801
Epoch 7 Batch 1013/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8406, Loss: 0.1615
Epoch 7 Batch 1014/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8398, Loss: 0.2099
Epoch 7 Batch 1015/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8359, Loss: 0.2375
Epoch 7 Batch 1016/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8263, Loss: 0.2093
Epoch 7 Batch 1017/1077 - Train Accuracy: 0.8544, Validation Accuracy: 0.8292, Loss: 0.2084
Epoch 7 Batch 1018/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8331, Loss: 0.1983
Epoch 7 Batch 1019/1077 - Train Accuracy: 0.8581, Validation Accuracy: 0.8295, Loss: 0.2397
Epoch 7 Batch 1020/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8359, Loss: 0.1886
Epoch 7 Batch 1021/1077 - Train Accuracy: 0.8129, Validation Accuracy: 0.8473, Loss: 0.2151
Epoch 7 Batch 1022/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8473, Loss: 0.1881
Epoch 7 Batch 1023/1077 - Train Accuracy: 0.8675, Validation Accuracy: 0.8572, Loss: 0.1993
Epoch 7 Batch 1024/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8658, Loss: 0.2213
Epoch 7 Batch 1025/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8661, Loss: 0.2033
Epoch 7 Batch 1026/1077 - Train Accuracy: 0.8921, Validation Accuracy: 0.8608, Loss: 0.2037
Epoch 7 Batch 1027/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8612, Loss: 0.2152
Epoch 7 Batch 1028/1077 - Train Accuracy: 0.8173, Validation Accuracy: 0.8604, Loss: 0.1849
Epoch 7 Batch 1029/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8551, Loss: 0.1888
Epoch 7 Batch 1030/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8558, Loss: 0.2104
Epoch 7 Batch 1031/1077 - Train Accuracy: 0.8372, Validation Accuracy: 0.8604, Loss: 0.2251
Epoch 7 Batch 1032/1077 - Train Accuracy: 0.8493, Validation Accuracy: 0.8587, Loss: 0.2256
Epoch 7 Batch 1033/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8576, Loss: 0.2079
Epoch 7 Batch 1034/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8544, Loss: 0.2022
Epoch 7 Batch 1035/1077 - Train Accuracy: 0.9014, Validation Accuracy: 0.8469, Loss: 0.1738
Epoch 7 Batch 1036/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8462, Loss: 0.2047
Epoch 7 Batch 1037/1077 - Train Accuracy: 0.8371, Validation Accuracy: 0.8406, Loss: 0.1982
Epoch 7 Batch 1038/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8441, Loss: 0.2234
Epoch 7 Batch 1039/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8498, Loss: 0.2014
Epoch 7 Batch 1040/1077 - Train Accuracy: 0.8491, Validation Accuracy: 0.8448, Loss: 0.2274
Epoch 7 Batch 1041/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8356, Loss: 0.2374
Epoch 7 Batch 1042/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8427, Loss: 0.2011
Epoch 7 Batch 1043/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8384, Loss: 0.2120
Epoch 7 Batch 1044/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8423, Loss: 0.2304
Epoch 7 Batch 1045/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8505, Loss: 0.2009
Epoch 7 Batch 1046/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8430, Loss: 0.1683
Epoch 7 Batch 1047/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8608, Loss: 0.1963
Epoch 7 Batch 1048/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8565, Loss: 0.2020
Epoch 7 Batch 1049/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8420, Loss: 0.2250
Epoch 7 Batch 1050/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8430, Loss: 0.1952
Epoch 7 Batch 1051/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8519, Loss: 0.1928
Epoch 7 Batch 1052/1077 - Train Accuracy: 0.8981, Validation Accuracy: 0.8498, Loss: 0.1872
Epoch 7 Batch 1053/1077 - Train Accuracy: 0.8501, Validation Accuracy: 0.8434, Loss: 0.2050
Epoch 7 Batch 1054/1077 - Train Accuracy: 0.8930, Validation Accuracy: 0.8459, Loss: 0.1988
Epoch 7 Batch 1055/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8548, Loss: 0.2069
Epoch 7 Batch 1056/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8565, Loss: 0.1840
Epoch 7 Batch 1057/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8551, Loss: 0.2128
Epoch 7 Batch 1058/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8555, Loss: 0.2494
Epoch 7 Batch 1059/1077 - Train Accuracy: 0.8084, Validation Accuracy: 0.8494, Loss: 0.2374
Epoch 7 Batch 1060/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8466, Loss: 0.1941
Epoch 7 Batch 1061/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8448, Loss: 0.2189
Epoch 7 Batch 1062/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8569, Loss: 0.2043
Epoch 7 Batch 1063/1077 - Train Accuracy: 0.8180, Validation Accuracy: 0.8608, Loss: 0.1938
Epoch 7 Batch 1064/1077 - Train Accuracy: 0.8785, Validation Accuracy: 0.8523, Loss: 0.2116
Epoch 7 Batch 1065/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8583, Loss: 0.1918
Epoch 7 Batch 1066/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8633, Loss: 0.1952
Epoch 7 Batch 1067/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8345, Loss: 0.2182
Epoch 7 Batch 1068/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8303, Loss: 0.2005
Epoch 7 Batch 1069/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8161, Loss: 0.1577
Epoch 7 Batch 1070/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8278, Loss: 0.2109
Epoch 7 Batch 1071/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8345, Loss: 0.2152
Epoch 7 Batch 1072/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8406, Loss: 0.1989
Epoch 7 Batch 1073/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8473, Loss: 0.2120
Epoch 7 Batch 1074/1077 - Train Accuracy: 0.8765, Validation Accuracy: 0.8452, Loss: 0.2136
Epoch 7 Batch 1075/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8516, Loss: 0.2307
Epoch 8 Batch 1/1077 - Train Accuracy: 0.9078, Validation Accuracy: 0.8487, Loss: 0.1934
Epoch 8 Batch 2/1077 - Train Accuracy: 0.8252, Validation Accuracy: 0.8391, Loss: 0.2010
Epoch 8 Batch 3/1077 - Train Accuracy: 0.8934, Validation Accuracy: 0.8551, Loss: 0.1932
Epoch 8 Batch 4/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8562, Loss: 0.1999
Epoch 8 Batch 5/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8455, Loss: 0.2297
Epoch 8 Batch 6/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8402, Loss: 0.1993
Epoch 8 Batch 7/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8516, Loss: 0.1833
Epoch 8 Batch 8/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8459, Loss: 0.1946
Epoch 8 Batch 9/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8487, Loss: 0.2040
Epoch 8 Batch 10/1077 - Train Accuracy: 0.9017, Validation Accuracy: 0.8540, Loss: 0.2059
Epoch 8 Batch 11/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8686, Loss: 0.1975
Epoch 8 Batch 12/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8565, Loss: 0.2048
Epoch 8 Batch 13/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8512, Loss: 0.2151
Epoch 8 Batch 14/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8690, Loss: 0.1844
Epoch 8 Batch 15/1077 - Train Accuracy: 0.8945, Validation Accuracy: 0.8686, Loss: 0.2013
Epoch 8 Batch 16/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8622, Loss: 0.2041
Epoch 8 Batch 17/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8590, Loss: 0.2086
Epoch 8 Batch 18/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8427, Loss: 0.2153
Epoch 8 Batch 19/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8427, Loss: 0.1948
Epoch 8 Batch 20/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8469, Loss: 0.1861
Epoch 8 Batch 21/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8523, Loss: 0.2120
Epoch 8 Batch 22/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8533, Loss: 0.2100
Epoch 8 Batch 23/1077 - Train Accuracy: 0.8871, Validation Accuracy: 0.8604, Loss: 0.2101
Epoch 8 Batch 24/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8636, Loss: 0.1913
Epoch 8 Batch 25/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8633, Loss: 0.2022
Epoch 8 Batch 26/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8604, Loss: 0.2123
Epoch 8 Batch 27/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8704, Loss: 0.1867
Epoch 8 Batch 28/1077 - Train Accuracy: 0.8977, Validation Accuracy: 0.8658, Loss: 0.2108
Epoch 8 Batch 29/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8668, Loss: 0.1900
Epoch 8 Batch 30/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8714, Loss: 0.1984
Epoch 8 Batch 31/1077 - Train Accuracy: 0.8859, Validation Accuracy: 0.8675, Loss: 0.2041
Epoch 8 Batch 32/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8672, Loss: 0.2004
Epoch 8 Batch 33/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8572, Loss: 0.1773
Epoch 8 Batch 34/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8565, Loss: 0.1987
Epoch 8 Batch 35/1077 - Train Accuracy: 0.8961, Validation Accuracy: 0.8594, Loss: 0.1939
Epoch 8 Batch 36/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8558, Loss: 0.1992
Epoch 8 Batch 37/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8512, Loss: 0.1907
Epoch 8 Batch 38/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8587, Loss: 0.2353
Epoch 8 Batch 39/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8551, Loss: 0.2461
Epoch 8 Batch 40/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8576, Loss: 0.1919
Epoch 8 Batch 41/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8494, Loss: 0.2019
Epoch 8 Batch 42/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8537, Loss: 0.2369
Epoch 8 Batch 43/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8523, Loss: 0.1891
Epoch 8 Batch 44/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8530, Loss: 0.2044
Epoch 8 Batch 45/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8455, Loss: 0.2040
Epoch 8 Batch 46/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.8395, Loss: 0.2096
Epoch 8 Batch 47/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8391, Loss: 0.2003
Epoch 8 Batch 48/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8217, Loss: 0.2280
Epoch 8 Batch 49/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8271, Loss: 0.2239
Epoch 8 Batch 50/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8278, Loss: 0.1956
Epoch 8 Batch 51/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8281, Loss: 0.2241
Epoch 8 Batch 52/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8288, Loss: 0.1969
Epoch 8 Batch 53/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8281, Loss: 0.1818
Epoch 8 Batch 54/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8381, Loss: 0.2334
Epoch 8 Batch 55/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8398, Loss: 0.1944
Epoch 8 Batch 56/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8580, Loss: 0.1739
Epoch 8 Batch 57/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8526, Loss: 0.1928
Epoch 8 Batch 58/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8562, Loss: 0.1833
Epoch 8 Batch 59/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8569, Loss: 0.2057
Epoch 8 Batch 60/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8569, Loss: 0.1984
Epoch 8 Batch 61/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8441, Loss: 0.2011
Epoch 8 Batch 62/1077 - Train Accuracy: 0.8536, Validation Accuracy: 0.8423, Loss: 0.2101
Epoch 8 Batch 63/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8363, Loss: 0.1815
Epoch 8 Batch 64/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8366, Loss: 0.1874
Epoch 8 Batch 65/1077 - Train Accuracy: 0.8405, Validation Accuracy: 0.8434, Loss: 0.2008
Epoch 8 Batch 66/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8537, Loss: 0.1778
Epoch 8 Batch 67/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8519, Loss: 0.1782
Epoch 8 Batch 68/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8683, Loss: 0.2093
Epoch 8 Batch 69/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8707, Loss: 0.2417
Epoch 8 Batch 70/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8768, Loss: 0.2093
Epoch 8 Batch 71/1077 - Train Accuracy: 0.8965, Validation Accuracy: 0.8622, Loss: 0.1723
Epoch 8 Batch 72/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8619, Loss: 0.1911
Epoch 8 Batch 73/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8601, Loss: 0.2225
Epoch 8 Batch 74/1077 - Train Accuracy: 0.8460, Validation Accuracy: 0.8558, Loss: 0.1773
Epoch 8 Batch 75/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8551, Loss: 0.2363
Epoch 8 Batch 76/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8551, Loss: 0.1824
Epoch 8 Batch 77/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8519, Loss: 0.2067
Epoch 8 Batch 78/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8509, Loss: 0.2042
Epoch 8 Batch 79/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8501, Loss: 0.2013
Epoch 8 Batch 80/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8455, Loss: 0.1812
Epoch 8 Batch 81/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8438, Loss: 0.1950
Epoch 8 Batch 82/1077 - Train Accuracy: 0.8839, Validation Accuracy: 0.8441, Loss: 0.1883
Epoch 8 Batch 83/1077 - Train Accuracy: 0.8466, Validation Accuracy: 0.8487, Loss: 0.2055
Epoch 8 Batch 84/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8473, Loss: 0.2052
Epoch 8 Batch 85/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8462, Loss: 0.2030
Epoch 8 Batch 86/1077 - Train Accuracy: 0.8977, Validation Accuracy: 0.8448, Loss: 0.2081
Epoch 8 Batch 87/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8438, Loss: 0.2587
Epoch 8 Batch 88/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8501, Loss: 0.2068
Epoch 8 Batch 89/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8466, Loss: 0.1986
Epoch 8 Batch 90/1077 - Train Accuracy: 0.8215, Validation Accuracy: 0.8466, Loss: 0.2119
Epoch 8 Batch 91/1077 - Train Accuracy: 0.8917, Validation Accuracy: 0.8505, Loss: 0.1891
Epoch 8 Batch 92/1077 - Train Accuracy: 0.8490, Validation Accuracy: 0.8558, Loss: 0.2169
Epoch 8 Batch 93/1077 - Train Accuracy: 0.8918, Validation Accuracy: 0.8612, Loss: 0.2003
Epoch 8 Batch 94/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8661, Loss: 0.1866
Epoch 8 Batch 95/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8612, Loss: 0.2177
Epoch 8 Batch 96/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8626, Loss: 0.1996
Epoch 8 Batch 97/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8583, Loss: 0.2128
Epoch 8 Batch 98/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8562, Loss: 0.1989
Epoch 8 Batch 99/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8555, Loss: 0.1994
Epoch 8 Batch 100/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8544, Loss: 0.2220
Epoch 8 Batch 101/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8519, Loss: 0.1950
Epoch 8 Batch 102/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8526, Loss: 0.1811
Epoch 8 Batch 103/1077 - Train Accuracy: 0.8540, Validation Accuracy: 0.8526, Loss: 0.2200
Epoch 8 Batch 104/1077 - Train Accuracy: 0.8421, Validation Accuracy: 0.8626, Loss: 0.2106
Epoch 8 Batch 105/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8480, Loss: 0.2139
Epoch 8 Batch 106/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8466, Loss: 0.2279
Epoch 8 Batch 107/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8459, Loss: 0.2129
Epoch 8 Batch 108/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8423, Loss: 0.1795
Epoch 8 Batch 109/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8455, Loss: 0.2040
Epoch 8 Batch 110/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8590, Loss: 0.1736
Epoch 8 Batch 111/1077 - Train Accuracy: 0.8977, Validation Accuracy: 0.8487, Loss: 0.2043
Epoch 8 Batch 112/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8473, Loss: 0.1825
Epoch 8 Batch 113/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8462, Loss: 0.2149
Epoch 8 Batch 114/1077 - Train Accuracy: 0.9059, Validation Accuracy: 0.8363, Loss: 0.1741
Epoch 8 Batch 115/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8366, Loss: 0.2005
Epoch 8 Batch 116/1077 - Train Accuracy: 0.8207, Validation Accuracy: 0.8310, Loss: 0.2216
Epoch 8 Batch 117/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8263, Loss: 0.2119
Epoch 8 Batch 118/1077 - Train Accuracy: 0.8433, Validation Accuracy: 0.8430, Loss: 0.2022
Epoch 8 Batch 119/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8512, Loss: 0.1973
Epoch 8 Batch 120/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8509, Loss: 0.2218
Epoch 8 Batch 121/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8441, Loss: 0.1992
Epoch 8 Batch 122/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8398, Loss: 0.1947
Epoch 8 Batch 123/1077 - Train Accuracy: 0.8914, Validation Accuracy: 0.8345, Loss: 0.1821
Epoch 8 Batch 124/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8459, Loss: 0.2264
Epoch 8 Batch 125/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8551, Loss: 0.2074
Epoch 8 Batch 126/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8498, Loss: 0.1679
Epoch 8 Batch 127/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8498, Loss: 0.2092
Epoch 8 Batch 128/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8537, Loss: 0.1875
Epoch 8 Batch 129/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8480, Loss: 0.2155
Epoch 8 Batch 130/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8445, Loss: 0.1841
Epoch 8 Batch 131/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8398, Loss: 0.1922
Epoch 8 Batch 132/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8359, Loss: 0.1967
Epoch 8 Batch 133/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8342, Loss: 0.1944
Epoch 8 Batch 134/1077 - Train Accuracy: 0.8895, Validation Accuracy: 0.8342, Loss: 0.1959
Epoch 8 Batch 135/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8299, Loss: 0.1951
Epoch 8 Batch 136/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8132, Loss: 0.2000
Epoch 8 Batch 137/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8121, Loss: 0.1633
Epoch 8 Batch 138/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8164, Loss: 0.1930
Epoch 8 Batch 139/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8175, Loss: 0.2088
Epoch 8 Batch 140/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8153, Loss: 0.2150
Epoch 8 Batch 141/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8125, Loss: 0.2265
Epoch 8 Batch 142/1077 - Train Accuracy: 0.8899, Validation Accuracy: 0.8089, Loss: 0.1915
Epoch 8 Batch 143/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8118, Loss: 0.2064
Epoch 8 Batch 144/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8150, Loss: 0.2364
Epoch 8 Batch 145/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8146, Loss: 0.2123
Epoch 8 Batch 146/1077 - Train Accuracy: 0.8657, Validation Accuracy: 0.8207, Loss: 0.2369
Epoch 8 Batch 147/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8217, Loss: 0.2258
Epoch 8 Batch 148/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8189, Loss: 0.2140
Epoch 8 Batch 149/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8281, Loss: 0.2032
Epoch 8 Batch 150/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8285, Loss: 0.1936
Epoch 8 Batch 151/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8295, Loss: 0.1874
Epoch 8 Batch 152/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8292, Loss: 0.2167
Epoch 8 Batch 153/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8295, Loss: 0.2211
Epoch 8 Batch 154/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8281, Loss: 0.2014
Epoch 8 Batch 155/1077 - Train Accuracy: 0.9039, Validation Accuracy: 0.8288, Loss: 0.2169
Epoch 8 Batch 156/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8267, Loss: 0.2064
Epoch 8 Batch 157/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8370, Loss: 0.1941
Epoch 8 Batch 158/1077 - Train Accuracy: 0.8739, Validation Accuracy: 0.8423, Loss: 0.1953
Epoch 8 Batch 159/1077 - Train Accuracy: 0.8821, Validation Accuracy: 0.8434, Loss: 0.1718
Epoch 8 Batch 160/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8420, Loss: 0.1973
Epoch 8 Batch 161/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8235, Loss: 0.1900
Epoch 8 Batch 162/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8253, Loss: 0.2255
Epoch 8 Batch 163/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8335, Loss: 0.2235
Epoch 8 Batch 164/1077 - Train Accuracy: 0.8918, Validation Accuracy: 0.8381, Loss: 0.2102
Epoch 8 Batch 165/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8441, Loss: 0.1955
Epoch 8 Batch 166/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8448, Loss: 0.2229
Epoch 8 Batch 167/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8381, Loss: 0.1894
Epoch 8 Batch 168/1077 - Train Accuracy: 0.8347, Validation Accuracy: 0.8448, Loss: 0.2099
Epoch 8 Batch 169/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8452, Loss: 0.2172
Epoch 8 Batch 170/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8498, Loss: 0.2160
Epoch 8 Batch 171/1077 - Train Accuracy: 0.8420, Validation Accuracy: 0.8438, Loss: 0.2010
Epoch 8 Batch 172/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8331, Loss: 0.1751
Epoch 8 Batch 173/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8384, Loss: 0.2188
Epoch 8 Batch 174/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8384, Loss: 0.1983
Epoch 8 Batch 175/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8374, Loss: 0.2175
Epoch 8 Batch 176/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8324, Loss: 0.2082
Epoch 8 Batch 177/1077 - Train Accuracy: 0.8573, Validation Accuracy: 0.8317, Loss: 0.2128
Epoch 8 Batch 178/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8356, Loss: 0.2046
Epoch 8 Batch 179/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8349, Loss: 0.2156
Epoch 8 Batch 180/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8342, Loss: 0.1899
Epoch 8 Batch 181/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8320, Loss: 0.2240
Epoch 8 Batch 182/1077 - Train Accuracy: 0.8631, Validation Accuracy: 0.8295, Loss: 0.2288
Epoch 8 Batch 183/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8256, Loss: 0.2035
Epoch 8 Batch 184/1077 - Train Accuracy: 0.9086, Validation Accuracy: 0.8260, Loss: 0.1709
Epoch 8 Batch 185/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8313, Loss: 0.2235
Epoch 8 Batch 186/1077 - Train Accuracy: 0.8495, Validation Accuracy: 0.8320, Loss: 0.2121
Epoch 8 Batch 187/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8345, Loss: 0.1769
Epoch 8 Batch 188/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8366, Loss: 0.2062
Epoch 8 Batch 189/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8501, Loss: 0.2022
Epoch 8 Batch 190/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8519, Loss: 0.1781
Epoch 8 Batch 191/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8523, Loss: 0.1806
Epoch 8 Batch 192/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8491, Loss: 0.2132
Epoch 8 Batch 193/1077 - Train Accuracy: 0.8875, Validation Accuracy: 0.8484, Loss: 0.1832
Epoch 8 Batch 194/1077 - Train Accuracy: 0.8903, Validation Accuracy: 0.8484, Loss: 0.1933
Epoch 8 Batch 195/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8477, Loss: 0.2050
Epoch 8 Batch 196/1077 - Train Accuracy: 0.8941, Validation Accuracy: 0.8480, Loss: 0.1980
Epoch 8 Batch 197/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8526, Loss: 0.2090
Epoch 8 Batch 198/1077 - Train Accuracy: 0.8973, Validation Accuracy: 0.8509, Loss: 0.2006
Epoch 8 Batch 199/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8555, Loss: 0.1952
Epoch 8 Batch 200/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8576, Loss: 0.2141
Epoch 8 Batch 201/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8509, Loss: 0.1766
Epoch 8 Batch 202/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8441, Loss: 0.2005
Epoch 8 Batch 203/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8413, Loss: 0.2035
Epoch 8 Batch 204/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8409, Loss: 0.2226
Epoch 8 Batch 205/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8487, Loss: 0.2207
Epoch 8 Batch 206/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8445, Loss: 0.2002
Epoch 8 Batch 207/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8445, Loss: 0.1982
Epoch 8 Batch 208/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8377, Loss: 0.2124
Epoch 8 Batch 209/1077 - Train Accuracy: 0.8612, Validation Accuracy: 0.8271, Loss: 0.1695
Epoch 8 Batch 210/1077 - Train Accuracy: 0.8679, Validation Accuracy: 0.8224, Loss: 0.2165
Epoch 8 Batch 211/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8210, Loss: 0.1803
Epoch 8 Batch 212/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8274, Loss: 0.1824
Epoch 8 Batch 213/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8327, Loss: 0.1808
Epoch 8 Batch 214/1077 - Train Accuracy: 0.8309, Validation Accuracy: 0.8278, Loss: 0.1874
Epoch 8 Batch 215/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8278, Loss: 0.2229
Epoch 8 Batch 216/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8462, Loss: 0.2111
Epoch 8 Batch 217/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8551, Loss: 0.1846
Epoch 8 Batch 218/1077 - Train Accuracy: 0.8573, Validation Accuracy: 0.8459, Loss: 0.2353
Epoch 8 Batch 219/1077 - Train Accuracy: 0.9039, Validation Accuracy: 0.8402, Loss: 0.1620
Epoch 8 Batch 220/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8384, Loss: 0.2157
Epoch 8 Batch 221/1077 - Train Accuracy: 0.8573, Validation Accuracy: 0.8310, Loss: 0.2150
Epoch 8 Batch 222/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8299, Loss: 0.2176
Epoch 8 Batch 223/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8338, Loss: 0.1855
Epoch 8 Batch 224/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8356, Loss: 0.2245
Epoch 8 Batch 225/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8168, Loss: 0.2061
Epoch 8 Batch 226/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8185, Loss: 0.1879
Epoch 8 Batch 227/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8295, Loss: 0.2145
Epoch 8 Batch 228/1077 - Train Accuracy: 0.9051, Validation Accuracy: 0.8402, Loss: 0.2065
Epoch 8 Batch 229/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8484, Loss: 0.1991
Epoch 8 Batch 230/1077 - Train Accuracy: 0.8278, Validation Accuracy: 0.8477, Loss: 0.2074
Epoch 8 Batch 231/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8448, Loss: 0.2258
Epoch 8 Batch 232/1077 - Train Accuracy: 0.8470, Validation Accuracy: 0.8335, Loss: 0.2047
Epoch 8 Batch 233/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8349, Loss: 0.2447
Epoch 8 Batch 234/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8352, Loss: 0.2040
Epoch 8 Batch 235/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8363, Loss: 0.1863
Epoch 8 Batch 236/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8310, Loss: 0.2331
Epoch 8 Batch 237/1077 - Train Accuracy: 0.8932, Validation Accuracy: 0.8324, Loss: 0.1722
Epoch 8 Batch 238/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8377, Loss: 0.2124
Epoch 8 Batch 239/1077 - Train Accuracy: 0.8984, Validation Accuracy: 0.8338, Loss: 0.1744
Epoch 8 Batch 240/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.8274, Loss: 0.2155
Epoch 8 Batch 241/1077 - Train Accuracy: 0.8973, Validation Accuracy: 0.8210, Loss: 0.1869
Epoch 8 Batch 242/1077 - Train Accuracy: 0.8957, Validation Accuracy: 0.8221, Loss: 0.1813
Epoch 8 Batch 243/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8260, Loss: 0.2011
Epoch 8 Batch 244/1077 - Train Accuracy: 0.8736, Validation Accuracy: 0.8310, Loss: 0.2097
Epoch 8 Batch 245/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8153, Loss: 0.1775
Epoch 8 Batch 246/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8136, Loss: 0.1950
Epoch 8 Batch 247/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8121, Loss: 0.1805
Epoch 8 Batch 248/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8129, Loss: 0.1897
Epoch 8 Batch 249/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8200, Loss: 0.2135
Epoch 8 Batch 250/1077 - Train Accuracy: 0.8697, Validation Accuracy: 0.8214, Loss: 0.1992
Epoch 8 Batch 251/1077 - Train Accuracy: 0.8661, Validation Accuracy: 0.8224, Loss: 0.2015
Epoch 8 Batch 252/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8210, Loss: 0.2138
Epoch 8 Batch 253/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8182, Loss: 0.2119
Epoch 8 Batch 254/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8175, Loss: 0.2085
Epoch 8 Batch 255/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8232, Loss: 0.2122
Epoch 8 Batch 256/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8203, Loss: 0.2263
Epoch 8 Batch 257/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8239, Loss: 0.2258
Epoch 8 Batch 258/1077 - Train Accuracy: 0.8977, Validation Accuracy: 0.8235, Loss: 0.2030
Epoch 8 Batch 259/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8235, Loss: 0.1881
Epoch 8 Batch 260/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8260, Loss: 0.1806
Epoch 8 Batch 261/1077 - Train Accuracy: 0.8981, Validation Accuracy: 0.8271, Loss: 0.2006
Epoch 8 Batch 262/1077 - Train Accuracy: 0.8980, Validation Accuracy: 0.8228, Loss: 0.1828
Epoch 8 Batch 263/1077 - Train Accuracy: 0.9047, Validation Accuracy: 0.8285, Loss: 0.2007
Epoch 8 Batch 264/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8526, Loss: 0.2194
Epoch 8 Batch 265/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8551, Loss: 0.1907
Epoch 8 Batch 266/1077 - Train Accuracy: 0.8568, Validation Accuracy: 0.8665, Loss: 0.1909
Epoch 8 Batch 267/1077 - Train Accuracy: 0.8885, Validation Accuracy: 0.8626, Loss: 0.1985
Epoch 8 Batch 268/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8565, Loss: 0.1943
Epoch 8 Batch 269/1077 - Train Accuracy: 0.8544, Validation Accuracy: 0.8604, Loss: 0.2318
Epoch 8 Batch 270/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8629, Loss: 0.2148
Epoch 8 Batch 271/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8544, Loss: 0.1971
Epoch 8 Batch 272/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8540, Loss: 0.2593
Epoch 8 Batch 273/1077 - Train Accuracy: 0.8419, Validation Accuracy: 0.8580, Loss: 0.1978
Epoch 8 Batch 274/1077 - Train Accuracy: 0.8761, Validation Accuracy: 0.8477, Loss: 0.2006
Epoch 8 Batch 275/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8445, Loss: 0.2049
Epoch 8 Batch 276/1077 - Train Accuracy: 0.8434, Validation Accuracy: 0.8306, Loss: 0.2595
Epoch 8 Batch 277/1077 - Train Accuracy: 0.9103, Validation Accuracy: 0.8267, Loss: 0.1709
Epoch 8 Batch 278/1077 - Train Accuracy: 0.8023, Validation Accuracy: 0.8239, Loss: 0.2092
Epoch 8 Batch 279/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.8512, Loss: 0.2240
Epoch 8 Batch 280/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8491, Loss: 0.2103
Epoch 8 Batch 281/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8491, Loss: 0.2155
Epoch 8 Batch 282/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8498, Loss: 0.2440
Epoch 8 Batch 283/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8491, Loss: 0.2209
Epoch 8 Batch 284/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8548, Loss: 0.2146
Epoch 8 Batch 285/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8530, Loss: 0.1985
Epoch 8 Batch 286/1077 - Train Accuracy: 0.8806, Validation Accuracy: 0.8526, Loss: 0.1826
Epoch 8 Batch 287/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8569, Loss: 0.2024
Epoch 8 Batch 288/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8540, Loss: 0.2076
Epoch 8 Batch 289/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8640, Loss: 0.1864
Epoch 8 Batch 290/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8654, Loss: 0.2478
Epoch 8 Batch 291/1077 - Train Accuracy: 0.8222, Validation Accuracy: 0.8665, Loss: 0.2461
Epoch 8 Batch 292/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8643, Loss: 0.1924
Epoch 8 Batch 293/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8693, Loss: 0.2223
Epoch 8 Batch 294/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8679, Loss: 0.1987
Epoch 8 Batch 295/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8675, Loss: 0.2284
Epoch 8 Batch 296/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8633, Loss: 0.2073
Epoch 8 Batch 297/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8615, Loss: 0.2265
Epoch 8 Batch 298/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8576, Loss: 0.2272
Epoch 8 Batch 299/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8612, Loss: 0.2045
Epoch 8 Batch 300/1077 - Train Accuracy: 0.8581, Validation Accuracy: 0.8626, Loss: 0.2044
Epoch 8 Batch 301/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8580, Loss: 0.1907
Epoch 8 Batch 302/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8530, Loss: 0.1964
Epoch 8 Batch 303/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8509, Loss: 0.2176
Epoch 8 Batch 304/1077 - Train Accuracy: 0.8821, Validation Accuracy: 0.8505, Loss: 0.1866
Epoch 8 Batch 305/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8427, Loss: 0.2113
Epoch 8 Batch 306/1077 - Train Accuracy: 0.8757, Validation Accuracy: 0.8416, Loss: 0.2129
Epoch 8 Batch 307/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8232, Loss: 0.1900
Epoch 8 Batch 308/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8192, Loss: 0.2228
Epoch 8 Batch 309/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8200, Loss: 0.1882
Epoch 8 Batch 310/1077 - Train Accuracy: 0.8230, Validation Accuracy: 0.8256, Loss: 0.2159
Epoch 8 Batch 311/1077 - Train Accuracy: 0.8869, Validation Accuracy: 0.8200, Loss: 0.1977
Epoch 8 Batch 312/1077 - Train Accuracy: 0.8121, Validation Accuracy: 0.8232, Loss: 0.2314
Epoch 8 Batch 313/1077 - Train Accuracy: 0.8797, Validation Accuracy: 0.8214, Loss: 0.1711
Epoch 8 Batch 314/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8242, Loss: 0.1924
Epoch 8 Batch 315/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8242, Loss: 0.1911
Epoch 8 Batch 316/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8196, Loss: 0.1957
Epoch 8 Batch 317/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8246, Loss: 0.2369
Epoch 8 Batch 318/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8303, Loss: 0.2086
Epoch 8 Batch 319/1077 - Train Accuracy: 0.8566, Validation Accuracy: 0.8345, Loss: 0.2050
Epoch 8 Batch 320/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8377, Loss: 0.2093
Epoch 8 Batch 321/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8423, Loss: 0.2041
Epoch 8 Batch 322/1077 - Train Accuracy: 0.8263, Validation Accuracy: 0.8406, Loss: 0.1768
Epoch 8 Batch 323/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8398, Loss: 0.1940
Epoch 8 Batch 324/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8427, Loss: 0.1834
Epoch 8 Batch 325/1077 - Train Accuracy: 0.8624, Validation Accuracy: 0.8597, Loss: 0.1904
Epoch 8 Batch 326/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8668, Loss: 0.2060
Epoch 8 Batch 327/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8626, Loss: 0.2642
Epoch 8 Batch 328/1077 - Train Accuracy: 0.8642, Validation Accuracy: 0.8629, Loss: 0.2249
Epoch 8 Batch 329/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8626, Loss: 0.2295
Epoch 8 Batch 330/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8580, Loss: 0.2032
Epoch 8 Batch 331/1077 - Train Accuracy: 0.8577, Validation Accuracy: 0.8540, Loss: 0.2108
Epoch 8 Batch 332/1077 - Train Accuracy: 0.8776, Validation Accuracy: 0.8459, Loss: 0.1797
Epoch 8 Batch 333/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8359, Loss: 0.2343
Epoch 8 Batch 334/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8395, Loss: 0.1986
Epoch 8 Batch 335/1077 - Train Accuracy: 0.8769, Validation Accuracy: 0.8384, Loss: 0.2225
Epoch 8 Batch 336/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8260, Loss: 0.2607
Epoch 8 Batch 337/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8210, Loss: 0.2205
Epoch 8 Batch 338/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8267, Loss: 0.2187
Epoch 8 Batch 339/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8185, Loss: 0.1896
Epoch 8 Batch 340/1077 - Train Accuracy: 0.8890, Validation Accuracy: 0.8189, Loss: 0.2014
Epoch 8 Batch 341/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8192, Loss: 0.2406
Epoch 8 Batch 342/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8246, Loss: 0.2019
Epoch 8 Batch 343/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8313, Loss: 0.2047
Epoch 8 Batch 344/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8260, Loss: 0.2102
Epoch 8 Batch 345/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8232, Loss: 0.1962
Epoch 8 Batch 346/1077 - Train Accuracy: 0.8156, Validation Accuracy: 0.8189, Loss: 0.2125
Epoch 8 Batch 347/1077 - Train Accuracy: 0.8772, Validation Accuracy: 0.8171, Loss: 0.1907
Epoch 8 Batch 348/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8192, Loss: 0.2094
Epoch 8 Batch 349/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.8175, Loss: 0.2100
Epoch 8 Batch 350/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8253, Loss: 0.2171
Epoch 8 Batch 351/1077 - Train Accuracy: 0.8647, Validation Accuracy: 0.8168, Loss: 0.2087
Epoch 8 Batch 352/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8171, Loss: 0.2065
Epoch 8 Batch 353/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8146, Loss: 0.2450
Epoch 8 Batch 354/1077 - Train Accuracy: 0.8387, Validation Accuracy: 0.8285, Loss: 0.2388
Epoch 8 Batch 355/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8295, Loss: 0.2076
Epoch 8 Batch 356/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8406, Loss: 0.2170
Epoch 8 Batch 357/1077 - Train Accuracy: 0.8389, Validation Accuracy: 0.8491, Loss: 0.2038
Epoch 8 Batch 358/1077 - Train Accuracy: 0.8252, Validation Accuracy: 0.8466, Loss: 0.2167
Epoch 8 Batch 359/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8498, Loss: 0.2114
Epoch 8 Batch 360/1077 - Train Accuracy: 0.8922, Validation Accuracy: 0.8533, Loss: 0.1918
Epoch 8 Batch 361/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8484, Loss: 0.2057
Epoch 8 Batch 362/1077 - Train Accuracy: 0.8646, Validation Accuracy: 0.8335, Loss: 0.2150
Epoch 8 Batch 363/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8313, Loss: 0.2118
Epoch 8 Batch 364/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8239, Loss: 0.2246
Epoch 8 Batch 365/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8285, Loss: 0.1894
Epoch 8 Batch 366/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8281, Loss: 0.2072
Epoch 8 Batch 367/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8274, Loss: 0.1794
Epoch 8 Batch 368/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8317, Loss: 0.2122
Epoch 8 Batch 369/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8310, Loss: 0.2053
Epoch 8 Batch 370/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8285, Loss: 0.2015
Epoch 8 Batch 371/1077 - Train Accuracy: 0.9098, Validation Accuracy: 0.8342, Loss: 0.1874
Epoch 8 Batch 372/1077 - Train Accuracy: 0.8910, Validation Accuracy: 0.8366, Loss: 0.1946
Epoch 8 Batch 373/1077 - Train Accuracy: 0.8806, Validation Accuracy: 0.8498, Loss: 0.1830
Epoch 8 Batch 374/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8452, Loss: 0.2216
Epoch 8 Batch 375/1077 - Train Accuracy: 0.8888, Validation Accuracy: 0.8398, Loss: 0.1882
Epoch 8 Batch 376/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8505, Loss: 0.2030
Epoch 8 Batch 377/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8533, Loss: 0.2224
Epoch 8 Batch 378/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8540, Loss: 0.1709
Epoch 8 Batch 379/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8494, Loss: 0.2256
Epoch 8 Batch 380/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8352, Loss: 0.1838
Epoch 8 Batch 381/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8420, Loss: 0.2159
Epoch 8 Batch 382/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8416, Loss: 0.2363
Epoch 8 Batch 383/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8420, Loss: 0.2034
Epoch 8 Batch 384/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8452, Loss: 0.2199
Epoch 8 Batch 385/1077 - Train Accuracy: 0.8785, Validation Accuracy: 0.8459, Loss: 0.2004
Epoch 8 Batch 386/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8406, Loss: 0.2048
Epoch 8 Batch 387/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8377, Loss: 0.2083
Epoch 8 Batch 388/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8203, Loss: 0.2068
Epoch 8 Batch 389/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8203, Loss: 0.2182
Epoch 8 Batch 390/1077 - Train Accuracy: 0.8055, Validation Accuracy: 0.8061, Loss: 0.2372
Epoch 8 Batch 391/1077 - Train Accuracy: 0.8545, Validation Accuracy: 0.8118, Loss: 0.1941
Epoch 8 Batch 392/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8068, Loss: 0.2272
Epoch 8 Batch 393/1077 - Train Accuracy: 0.8478, Validation Accuracy: 0.8221, Loss: 0.1935
Epoch 8 Batch 394/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8363, Loss: 0.1978
Epoch 8 Batch 395/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8352, Loss: 0.1952
Epoch 8 Batch 396/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8395, Loss: 0.2077
Epoch 8 Batch 397/1077 - Train Accuracy: 0.8925, Validation Accuracy: 0.8668, Loss: 0.1949
Epoch 8 Batch 398/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8661, Loss: 0.2438
Epoch 8 Batch 399/1077 - Train Accuracy: 0.8487, Validation Accuracy: 0.8615, Loss: 0.2009
Epoch 8 Batch 400/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8612, Loss: 0.2085
Epoch 8 Batch 401/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8619, Loss: 0.1838
Epoch 8 Batch 402/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8633, Loss: 0.1951
Epoch 8 Batch 403/1077 - Train Accuracy: 0.8039, Validation Accuracy: 0.8576, Loss: 0.2315
Epoch 8 Batch 404/1077 - Train Accuracy: 0.8955, Validation Accuracy: 0.8498, Loss: 0.1902
Epoch 8 Batch 405/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8540, Loss: 0.2117
Epoch 8 Batch 406/1077 - Train Accuracy: 0.8692, Validation Accuracy: 0.8438, Loss: 0.2152
Epoch 8 Batch 407/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8480, Loss: 0.2260
Epoch 8 Batch 408/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8491, Loss: 0.2061
Epoch 8 Batch 409/1077 - Train Accuracy: 0.8414, Validation Accuracy: 0.8434, Loss: 0.2352
Epoch 8 Batch 410/1077 - Train Accuracy: 0.8479, Validation Accuracy: 0.8363, Loss: 0.2091
Epoch 8 Batch 411/1077 - Train Accuracy: 0.8597, Validation Accuracy: 0.8324, Loss: 0.2280
Epoch 8 Batch 412/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8331, Loss: 0.1818
Epoch 8 Batch 413/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8430, Loss: 0.1866
Epoch 8 Batch 414/1077 - Train Accuracy: 0.8195, Validation Accuracy: 0.8391, Loss: 0.2095
Epoch 8 Batch 415/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8395, Loss: 0.2130
Epoch 8 Batch 416/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8413, Loss: 0.1946
Epoch 8 Batch 417/1077 - Train Accuracy: 0.8316, Validation Accuracy: 0.8391, Loss: 0.2595
Epoch 8 Batch 418/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8313, Loss: 0.2029
Epoch 8 Batch 419/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8317, Loss: 0.1942
Epoch 8 Batch 420/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8310, Loss: 0.1882
Epoch 8 Batch 421/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8310, Loss: 0.2205
Epoch 8 Batch 422/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8310, Loss: 0.1846
Epoch 8 Batch 423/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8338, Loss: 0.2165
Epoch 8 Batch 424/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8349, Loss: 0.2097
Epoch 8 Batch 425/1077 - Train Accuracy: 0.8564, Validation Accuracy: 0.8445, Loss: 0.1834
Epoch 8 Batch 426/1077 - Train Accuracy: 0.8438, Validation Accuracy: 0.8370, Loss: 0.2385
Epoch 8 Batch 427/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8285, Loss: 0.2001
Epoch 8 Batch 428/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8288, Loss: 0.1795
Epoch 8 Batch 429/1077 - Train Accuracy: 0.9051, Validation Accuracy: 0.8324, Loss: 0.1902
Epoch 8 Batch 430/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8281, Loss: 0.2024
Epoch 8 Batch 431/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8267, Loss: 0.1903
Epoch 8 Batch 432/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8335, Loss: 0.2156
Epoch 8 Batch 433/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8384, Loss: 0.2052
Epoch 8 Batch 434/1077 - Train Accuracy: 0.9129, Validation Accuracy: 0.8384, Loss: 0.2030
Epoch 8 Batch 435/1077 - Train Accuracy: 0.9042, Validation Accuracy: 0.8384, Loss: 0.2195
Epoch 8 Batch 436/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8366, Loss: 0.2003
Epoch 8 Batch 437/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8349, Loss: 0.1956
Epoch 8 Batch 438/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8416, Loss: 0.1981
Epoch 8 Batch 439/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8430, Loss: 0.2188
Epoch 8 Batch 440/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8430, Loss: 0.2218
Epoch 8 Batch 441/1077 - Train Accuracy: 0.8262, Validation Accuracy: 0.8430, Loss: 0.1989
Epoch 8 Batch 442/1077 - Train Accuracy: 0.8408, Validation Accuracy: 0.8402, Loss: 0.2066
Epoch 8 Batch 443/1077 - Train Accuracy: 0.8858, Validation Accuracy: 0.8441, Loss: 0.2086
Epoch 8 Batch 444/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8398, Loss: 0.1892
Epoch 8 Batch 445/1077 - Train Accuracy: 0.7948, Validation Accuracy: 0.8366, Loss: 0.2144
Epoch 8 Batch 446/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.8445, Loss: 0.1999
Epoch 8 Batch 447/1077 - Train Accuracy: 0.8301, Validation Accuracy: 0.8413, Loss: 0.1888
Epoch 8 Batch 448/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8377, Loss: 0.2283
Epoch 8 Batch 449/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8320, Loss: 0.2163
Epoch 8 Batch 450/1077 - Train Accuracy: 0.8879, Validation Accuracy: 0.8271, Loss: 0.1895
Epoch 8 Batch 451/1077 - Train Accuracy: 0.9089, Validation Accuracy: 0.8267, Loss: 0.1962
Epoch 8 Batch 452/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8299, Loss: 0.2138
Epoch 8 Batch 453/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8182, Loss: 0.2021
Epoch 8 Batch 454/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8210, Loss: 0.2126
Epoch 8 Batch 455/1077 - Train Accuracy: 0.8725, Validation Accuracy: 0.8260, Loss: 0.2072
Epoch 8 Batch 456/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8288, Loss: 0.2152
Epoch 8 Batch 457/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8295, Loss: 0.1872
Epoch 8 Batch 458/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8441, Loss: 0.1996
Epoch 8 Batch 459/1077 - Train Accuracy: 0.8925, Validation Accuracy: 0.8576, Loss: 0.1892
Epoch 8 Batch 460/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8526, Loss: 0.2101
Epoch 8 Batch 461/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8519, Loss: 0.1906
Epoch 8 Batch 462/1077 - Train Accuracy: 0.8711, Validation Accuracy: 0.8501, Loss: 0.2030
Epoch 8 Batch 463/1077 - Train Accuracy: 0.8187, Validation Accuracy: 0.8494, Loss: 0.2007
Epoch 8 Batch 464/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8569, Loss: 0.1964
Epoch 8 Batch 465/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8580, Loss: 0.2178
Epoch 8 Batch 466/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8615, Loss: 0.1986
Epoch 8 Batch 467/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8590, Loss: 0.2191
Epoch 8 Batch 468/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8590, Loss: 0.1936
Epoch 8 Batch 469/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8477, Loss: 0.2176
Epoch 8 Batch 470/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8402, Loss: 0.2250
Epoch 8 Batch 471/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8438, Loss: 0.1726
Epoch 8 Batch 472/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8509, Loss: 0.1885
Epoch 8 Batch 473/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8445, Loss: 0.2100
Epoch 8 Batch 474/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8469, Loss: 0.2153
Epoch 8 Batch 475/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8466, Loss: 0.1753
Epoch 8 Batch 476/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8466, Loss: 0.1800
Epoch 8 Batch 477/1077 - Train Accuracy: 0.8962, Validation Accuracy: 0.8452, Loss: 0.2122
Epoch 8 Batch 478/1077 - Train Accuracy: 0.9062, Validation Accuracy: 0.8345, Loss: 0.1936
Epoch 8 Batch 479/1077 - Train Accuracy: 0.8336, Validation Accuracy: 0.8430, Loss: 0.2171
Epoch 8 Batch 480/1077 - Train Accuracy: 0.8808, Validation Accuracy: 0.8441, Loss: 0.2050
Epoch 8 Batch 481/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8455, Loss: 0.2025
Epoch 8 Batch 482/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8509, Loss: 0.2219
Epoch 8 Batch 483/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8516, Loss: 0.2229
Epoch 8 Batch 484/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8505, Loss: 0.2023
Epoch 8 Batch 485/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8523, Loss: 0.1852
Epoch 8 Batch 486/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8484, Loss: 0.2005
Epoch 8 Batch 487/1077 - Train Accuracy: 0.8861, Validation Accuracy: 0.8533, Loss: 0.2097
Epoch 8 Batch 488/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8526, Loss: 0.2026
Epoch 8 Batch 489/1077 - Train Accuracy: 0.8583, Validation Accuracy: 0.8523, Loss: 0.1908
Epoch 8 Batch 490/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8551, Loss: 0.2042
Epoch 8 Batch 491/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8505, Loss: 0.2221
Epoch 8 Batch 492/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8427, Loss: 0.2337
Epoch 8 Batch 493/1077 - Train Accuracy: 0.8932, Validation Accuracy: 0.8448, Loss: 0.1726
Epoch 8 Batch 494/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8438, Loss: 0.1993
Epoch 8 Batch 495/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8445, Loss: 0.2090
Epoch 8 Batch 496/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8299, Loss: 0.2173
Epoch 8 Batch 497/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8260, Loss: 0.2263
Epoch 8 Batch 498/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8150, Loss: 0.2051
Epoch 8 Batch 499/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8118, Loss: 0.1900
Epoch 8 Batch 500/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8029, Loss: 0.1830
Epoch 8 Batch 501/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8292, Loss: 0.1958
Epoch 8 Batch 502/1077 - Train Accuracy: 0.8957, Validation Accuracy: 0.8274, Loss: 0.2115
Epoch 8 Batch 503/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8310, Loss: 0.1811
Epoch 8 Batch 504/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8327, Loss: 0.2114
Epoch 8 Batch 505/1077 - Train Accuracy: 0.9115, Validation Accuracy: 0.8335, Loss: 0.1739
Epoch 8 Batch 506/1077 - Train Accuracy: 0.8781, Validation Accuracy: 0.8327, Loss: 0.1954
Epoch 8 Batch 507/1077 - Train Accuracy: 0.8102, Validation Accuracy: 0.8331, Loss: 0.1966
Epoch 8 Batch 508/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8434, Loss: 0.1807
Epoch 8 Batch 509/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8498, Loss: 0.2016
Epoch 8 Batch 510/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8505, Loss: 0.1917
Epoch 8 Batch 511/1077 - Train Accuracy: 0.8228, Validation Accuracy: 0.8452, Loss: 0.2088
Epoch 8 Batch 512/1077 - Train Accuracy: 0.8957, Validation Accuracy: 0.8491, Loss: 0.1875
Epoch 8 Batch 513/1077 - Train Accuracy: 0.8293, Validation Accuracy: 0.8455, Loss: 0.2057
Epoch 8 Batch 514/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8366, Loss: 0.2152
Epoch 8 Batch 515/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8420, Loss: 0.2073
Epoch 8 Batch 516/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8420, Loss: 0.1925
Epoch 8 Batch 517/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8462, Loss: 0.1923
Epoch 8 Batch 518/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8601, Loss: 0.1830
Epoch 8 Batch 519/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8551, Loss: 0.1946
Epoch 8 Batch 520/1077 - Train Accuracy: 0.9096, Validation Accuracy: 0.8523, Loss: 0.1962
Epoch 8 Batch 521/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8519, Loss: 0.1964
Epoch 8 Batch 522/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8658, Loss: 0.2219
Epoch 8 Batch 523/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8548, Loss: 0.2052
Epoch 8 Batch 524/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8434, Loss: 0.1994
Epoch 8 Batch 525/1077 - Train Accuracy: 0.8637, Validation Accuracy: 0.8434, Loss: 0.1995
Epoch 8 Batch 526/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8363, Loss: 0.1807
Epoch 8 Batch 527/1077 - Train Accuracy: 0.8236, Validation Accuracy: 0.8324, Loss: 0.2260
Epoch 8 Batch 528/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8256, Loss: 0.2029
Epoch 8 Batch 529/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8253, Loss: 0.1955
Epoch 8 Batch 530/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8263, Loss: 0.2062
Epoch 8 Batch 531/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8313, Loss: 0.1846
Epoch 8 Batch 532/1077 - Train Accuracy: 0.8473, Validation Accuracy: 0.8313, Loss: 0.2335
Epoch 8 Batch 533/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8274, Loss: 0.2211
Epoch 8 Batch 534/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8235, Loss: 0.2007
Epoch 8 Batch 535/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8192, Loss: 0.1930
Epoch 8 Batch 536/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8203, Loss: 0.2007
Epoch 8 Batch 537/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8239, Loss: 0.1942
Epoch 8 Batch 538/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8200, Loss: 0.1824
Epoch 8 Batch 539/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8189, Loss: 0.2066
Epoch 8 Batch 540/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8359, Loss: 0.1730
Epoch 8 Batch 541/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8363, Loss: 0.1981
Epoch 8 Batch 542/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8345, Loss: 0.2021
Epoch 8 Batch 543/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8345, Loss: 0.2008
Epoch 8 Batch 544/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8416, Loss: 0.1863
Epoch 8 Batch 545/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8445, Loss: 0.2072
Epoch 8 Batch 546/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8420, Loss: 0.2279
Epoch 8 Batch 547/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8391, Loss: 0.1801
Epoch 8 Batch 548/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8388, Loss: 0.2355
Epoch 8 Batch 549/1077 - Train Accuracy: 0.8168, Validation Accuracy: 0.8445, Loss: 0.2122
Epoch 8 Batch 550/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8430, Loss: 0.1864
Epoch 8 Batch 551/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8420, Loss: 0.2188
Epoch 8 Batch 552/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8438, Loss: 0.2156
Epoch 8 Batch 553/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8363, Loss: 0.2162
Epoch 8 Batch 554/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8303, Loss: 0.1836
Epoch 8 Batch 555/1077 - Train Accuracy: 0.8555, Validation Accuracy: 0.8331, Loss: 0.1920
Epoch 8 Batch 556/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8320, Loss: 0.2101
Epoch 8 Batch 557/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8260, Loss: 0.1916
Epoch 8 Batch 558/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8168, Loss: 0.1802
Epoch 8 Batch 559/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8224, Loss: 0.1901
Epoch 8 Batch 560/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8303, Loss: 0.2005
Epoch 8 Batch 561/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8292, Loss: 0.1814
Epoch 8 Batch 562/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8200, Loss: 0.1827
Epoch 8 Batch 563/1077 - Train Accuracy: 0.8152, Validation Accuracy: 0.8175, Loss: 0.2166
Epoch 8 Batch 564/1077 - Train Accuracy: 0.8503, Validation Accuracy: 0.8210, Loss: 0.2136
Epoch 8 Batch 565/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8203, Loss: 0.1941
Epoch 8 Batch 566/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8288, Loss: 0.2029
Epoch 8 Batch 567/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8274, Loss: 0.2061
Epoch 8 Batch 568/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8384, Loss: 0.2008
Epoch 8 Batch 569/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8512, Loss: 0.2138
Epoch 8 Batch 570/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8562, Loss: 0.2335
Epoch 8 Batch 571/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8498, Loss: 0.1775
Epoch 8 Batch 572/1077 - Train Accuracy: 0.8687, Validation Accuracy: 0.8434, Loss: 0.1895
Epoch 8 Batch 573/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8498, Loss: 0.2450
Epoch 8 Batch 574/1077 - Train Accuracy: 0.8298, Validation Accuracy: 0.8505, Loss: 0.2357
Epoch 8 Batch 575/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8427, Loss: 0.1966
Epoch 8 Batch 576/1077 - Train Accuracy: 0.9030, Validation Accuracy: 0.8352, Loss: 0.1912
Epoch 8 Batch 577/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8338, Loss: 0.2071
Epoch 8 Batch 578/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8224, Loss: 0.2129
Epoch 8 Batch 579/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8125, Loss: 0.1841
Epoch 8 Batch 580/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8242, Loss: 0.1603
Epoch 8 Batch 581/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8288, Loss: 0.1692
Epoch 8 Batch 582/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8288, Loss: 0.1980
Epoch 8 Batch 583/1077 - Train Accuracy: 0.8532, Validation Accuracy: 0.8267, Loss: 0.2035
Epoch 8 Batch 584/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8342, Loss: 0.1928
Epoch 8 Batch 585/1077 - Train Accuracy: 0.8802, Validation Accuracy: 0.8267, Loss: 0.1703
Epoch 8 Batch 586/1077 - Train Accuracy: 0.8643, Validation Accuracy: 0.8217, Loss: 0.2221
Epoch 8 Batch 587/1077 - Train Accuracy: 0.8862, Validation Accuracy: 0.8232, Loss: 0.1922
Epoch 8 Batch 588/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8185, Loss: 0.1953
Epoch 8 Batch 589/1077 - Train Accuracy: 0.8655, Validation Accuracy: 0.8185, Loss: 0.1983
Epoch 8 Batch 590/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8121, Loss: 0.2302
Epoch 8 Batch 591/1077 - Train Accuracy: 0.8665, Validation Accuracy: 0.8217, Loss: 0.1984
Epoch 8 Batch 592/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8281, Loss: 0.2054
Epoch 8 Batch 593/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8285, Loss: 0.2192
Epoch 8 Batch 594/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8242, Loss: 0.2080
Epoch 8 Batch 595/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8335, Loss: 0.2019
Epoch 8 Batch 596/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8331, Loss: 0.2134
Epoch 8 Batch 597/1077 - Train Accuracy: 0.8238, Validation Accuracy: 0.8292, Loss: 0.1894
Epoch 8 Batch 598/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8345, Loss: 0.2130
Epoch 8 Batch 599/1077 - Train Accuracy: 0.8258, Validation Accuracy: 0.8391, Loss: 0.2483
Epoch 8 Batch 600/1077 - Train Accuracy: 0.8981, Validation Accuracy: 0.8448, Loss: 0.1957
Epoch 8 Batch 601/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8455, Loss: 0.2116
Epoch 8 Batch 602/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8498, Loss: 0.1896
Epoch 8 Batch 603/1077 - Train Accuracy: 0.8720, Validation Accuracy: 0.8498, Loss: 0.1869
Epoch 8 Batch 604/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8548, Loss: 0.2195
Epoch 8 Batch 605/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8409, Loss: 0.2158
Epoch 8 Batch 606/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8352, Loss: 0.1716
Epoch 8 Batch 607/1077 - Train Accuracy: 0.9020, Validation Accuracy: 0.8345, Loss: 0.1862
Epoch 8 Batch 608/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8320, Loss: 0.2183
Epoch 8 Batch 609/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8366, Loss: 0.2167
Epoch 8 Batch 610/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8430, Loss: 0.2202
Epoch 8 Batch 611/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8413, Loss: 0.1867
Epoch 8 Batch 612/1077 - Train Accuracy: 0.8932, Validation Accuracy: 0.8434, Loss: 0.1886
Epoch 8 Batch 613/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8409, Loss: 0.2179
Epoch 8 Batch 614/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8374, Loss: 0.2009
Epoch 8 Batch 615/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8516, Loss: 0.1910
Epoch 8 Batch 616/1077 - Train Accuracy: 0.8306, Validation Accuracy: 0.8381, Loss: 0.2220
Epoch 8 Batch 617/1077 - Train Accuracy: 0.8523, Validation Accuracy: 0.8267, Loss: 0.2137
Epoch 8 Batch 618/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8214, Loss: 0.2013
Epoch 8 Batch 619/1077 - Train Accuracy: 0.8610, Validation Accuracy: 0.8278, Loss: 0.1847
Epoch 8 Batch 620/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8327, Loss: 0.2002
Epoch 8 Batch 621/1077 - Train Accuracy: 0.8992, Validation Accuracy: 0.8427, Loss: 0.2091
Epoch 8 Batch 622/1077 - Train Accuracy: 0.9009, Validation Accuracy: 0.8462, Loss: 0.2065
Epoch 8 Batch 623/1077 - Train Accuracy: 0.8223, Validation Accuracy: 0.8356, Loss: 0.2065
Epoch 8 Batch 624/1077 - Train Accuracy: 0.8780, Validation Accuracy: 0.8331, Loss: 0.1874
Epoch 8 Batch 625/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8324, Loss: 0.2077
Epoch 8 Batch 626/1077 - Train Accuracy: 0.8700, Validation Accuracy: 0.8374, Loss: 0.1836
Epoch 8 Batch 627/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8366, Loss: 0.1893
Epoch 8 Batch 628/1077 - Train Accuracy: 0.8402, Validation Accuracy: 0.8370, Loss: 0.2235
Epoch 8 Batch 629/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8331, Loss: 0.2117
Epoch 8 Batch 630/1077 - Train Accuracy: 0.8887, Validation Accuracy: 0.8374, Loss: 0.1927
Epoch 8 Batch 631/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8402, Loss: 0.1968
Epoch 8 Batch 632/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8409, Loss: 0.1932
Epoch 8 Batch 633/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8402, Loss: 0.1983
Epoch 8 Batch 634/1077 - Train Accuracy: 0.8616, Validation Accuracy: 0.8480, Loss: 0.1710
Epoch 8 Batch 635/1077 - Train Accuracy: 0.8623, Validation Accuracy: 0.8565, Loss: 0.2313
Epoch 8 Batch 636/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8576, Loss: 0.2009
Epoch 8 Batch 637/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8633, Loss: 0.1970
Epoch 8 Batch 638/1077 - Train Accuracy: 0.8315, Validation Accuracy: 0.8562, Loss: 0.2202
Epoch 8 Batch 639/1077 - Train Accuracy: 0.8852, Validation Accuracy: 0.8526, Loss: 0.2204
Epoch 8 Batch 640/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8469, Loss: 0.1981
Epoch 8 Batch 641/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8413, Loss: 0.1923
Epoch 8 Batch 642/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8377, Loss: 0.2045
Epoch 8 Batch 643/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8438, Loss: 0.1864
Epoch 8 Batch 644/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8306, Loss: 0.2234
Epoch 8 Batch 645/1077 - Train Accuracy: 0.8705, Validation Accuracy: 0.8452, Loss: 0.1998
Epoch 8 Batch 646/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8406, Loss: 0.2197
Epoch 8 Batch 647/1077 - Train Accuracy: 0.9023, Validation Accuracy: 0.8477, Loss: 0.2004
Epoch 8 Batch 648/1077 - Train Accuracy: 0.8843, Validation Accuracy: 0.8384, Loss: 0.1725
Epoch 8 Batch 649/1077 - Train Accuracy: 0.8461, Validation Accuracy: 0.8391, Loss: 0.2149
Epoch 8 Batch 650/1077 - Train Accuracy: 0.8469, Validation Accuracy: 0.8320, Loss: 0.1974
Epoch 8 Batch 651/1077 - Train Accuracy: 0.9062, Validation Accuracy: 0.8285, Loss: 0.2034
Epoch 8 Batch 652/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8303, Loss: 0.2096
Epoch 8 Batch 653/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8278, Loss: 0.2276
Epoch 8 Batch 654/1077 - Train Accuracy: 0.8965, Validation Accuracy: 0.8303, Loss: 0.1862
Epoch 8 Batch 655/1077 - Train Accuracy: 0.8066, Validation Accuracy: 0.8342, Loss: 0.2094
Epoch 8 Batch 656/1077 - Train Accuracy: 0.8750, Validation Accuracy: 0.8200, Loss: 0.1956
Epoch 8 Batch 657/1077 - Train Accuracy: 0.8775, Validation Accuracy: 0.8157, Loss: 0.2034
Epoch 8 Batch 658/1077 - Train Accuracy: 0.8482, Validation Accuracy: 0.8107, Loss: 0.1766
Epoch 8 Batch 659/1077 - Train Accuracy: 0.8713, Validation Accuracy: 0.8068, Loss: 0.2293
Epoch 8 Batch 660/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8036, Loss: 0.2146
Epoch 8 Batch 661/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8029, Loss: 0.1878
Epoch 8 Batch 662/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8026, Loss: 0.1879
Epoch 8 Batch 663/1077 - Train Accuracy: 0.8352, Validation Accuracy: 0.8125, Loss: 0.1734
Epoch 8 Batch 664/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8129, Loss: 0.2065
Epoch 8 Batch 665/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8125, Loss: 0.1983
Epoch 8 Batch 666/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8086, Loss: 0.2162
Epoch 8 Batch 667/1077 - Train Accuracy: 0.8092, Validation Accuracy: 0.8121, Loss: 0.2193
Epoch 8 Batch 668/1077 - Train Accuracy: 0.8638, Validation Accuracy: 0.8200, Loss: 0.1800
Epoch 8 Batch 669/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8189, Loss: 0.2058
Epoch 8 Batch 670/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8139, Loss: 0.1976
Epoch 8 Batch 671/1077 - Train Accuracy: 0.8396, Validation Accuracy: 0.8224, Loss: 0.2052
Epoch 8 Batch 672/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8342, Loss: 0.1892
Epoch 8 Batch 673/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8491, Loss: 0.1998
Epoch 8 Batch 674/1077 - Train Accuracy: 0.8934, Validation Accuracy: 0.8544, Loss: 0.1774
Epoch 8 Batch 675/1077 - Train Accuracy: 0.8653, Validation Accuracy: 0.8622, Loss: 0.2049
Epoch 8 Batch 676/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8640, Loss: 0.1993
Epoch 8 Batch 677/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8462, Loss: 0.2254
Epoch 8 Batch 678/1077 - Train Accuracy: 0.8538, Validation Accuracy: 0.8466, Loss: 0.1786
Epoch 8 Batch 679/1077 - Train Accuracy: 0.8623, Validation Accuracy: 0.8416, Loss: 0.2023
Epoch 8 Batch 680/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8363, Loss: 0.1953
Epoch 8 Batch 681/1077 - Train Accuracy: 0.8527, Validation Accuracy: 0.8370, Loss: 0.2023
Epoch 8 Batch 682/1077 - Train Accuracy: 0.8199, Validation Accuracy: 0.8359, Loss: 0.2200
Epoch 8 Batch 683/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8317, Loss: 0.1889
Epoch 8 Batch 684/1077 - Train Accuracy: 0.8656, Validation Accuracy: 0.8374, Loss: 0.1981
Epoch 8 Batch 685/1077 - Train Accuracy: 0.8375, Validation Accuracy: 0.8285, Loss: 0.2082
Epoch 8 Batch 686/1077 - Train Accuracy: 0.8865, Validation Accuracy: 0.8228, Loss: 0.1791
Epoch 8 Batch 687/1077 - Train Accuracy: 0.8488, Validation Accuracy: 0.8285, Loss: 0.2132
Epoch 8 Batch 688/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8295, Loss: 0.1913
Epoch 8 Batch 689/1077 - Train Accuracy: 0.8969, Validation Accuracy: 0.8256, Loss: 0.1859
Epoch 8 Batch 690/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8303, Loss: 0.1727
Epoch 8 Batch 691/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8260, Loss: 0.2096
Epoch 8 Batch 692/1077 - Train Accuracy: 0.8635, Validation Accuracy: 0.8327, Loss: 0.1869
Epoch 8 Batch 693/1077 - Train Accuracy: 0.8191, Validation Accuracy: 0.8288, Loss: 0.2376
Epoch 8 Batch 694/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8246, Loss: 0.2083
Epoch 8 Batch 695/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8285, Loss: 0.1770
Epoch 8 Batch 696/1077 - Train Accuracy: 0.8314, Validation Accuracy: 0.8239, Loss: 0.2171
Epoch 8 Batch 697/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8352, Loss: 0.2008
Epoch 8 Batch 698/1077 - Train Accuracy: 0.8627, Validation Accuracy: 0.8395, Loss: 0.1941
Epoch 8 Batch 699/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8370, Loss: 0.1939
Epoch 8 Batch 700/1077 - Train Accuracy: 0.8801, Validation Accuracy: 0.8423, Loss: 0.1773
Epoch 8 Batch 701/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8370, Loss: 0.2109
Epoch 8 Batch 702/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8253, Loss: 0.2283
Epoch 8 Batch 703/1077 - Train Accuracy: 0.8840, Validation Accuracy: 0.8249, Loss: 0.2089
Epoch 8 Batch 704/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8398, Loss: 0.2323
Epoch 8 Batch 705/1077 - Train Accuracy: 0.8775, Validation Accuracy: 0.8430, Loss: 0.2147
Epoch 8 Batch 706/1077 - Train Accuracy: 0.8326, Validation Accuracy: 0.8491, Loss: 0.2300
Epoch 8 Batch 707/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8484, Loss: 0.2020
Epoch 8 Batch 708/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8484, Loss: 0.2218
Epoch 8 Batch 709/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8466, Loss: 0.2169
Epoch 8 Batch 710/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8469, Loss: 0.1908
Epoch 8 Batch 711/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8487, Loss: 0.2271
Epoch 8 Batch 712/1077 - Train Accuracy: 0.8723, Validation Accuracy: 0.8366, Loss: 0.1850
Epoch 8 Batch 713/1077 - Train Accuracy: 0.8825, Validation Accuracy: 0.8136, Loss: 0.1829
Epoch 8 Batch 714/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8182, Loss: 0.1771
Epoch 8 Batch 715/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8200, Loss: 0.2071
Epoch 8 Batch 716/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8299, Loss: 0.1778
Epoch 8 Batch 717/1077 - Train Accuracy: 0.8783, Validation Accuracy: 0.8303, Loss: 0.1833
Epoch 8 Batch 718/1077 - Train Accuracy: 0.8477, Validation Accuracy: 0.8462, Loss: 0.1872
Epoch 8 Batch 719/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8512, Loss: 0.1961
Epoch 8 Batch 720/1077 - Train Accuracy: 0.8532, Validation Accuracy: 0.8416, Loss: 0.2163
Epoch 8 Batch 721/1077 - Train Accuracy: 0.8531, Validation Accuracy: 0.8501, Loss: 0.2271
Epoch 8 Batch 722/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8498, Loss: 0.1823
Epoch 8 Batch 723/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8363, Loss: 0.2027
Epoch 8 Batch 724/1077 - Train Accuracy: 0.8388, Validation Accuracy: 0.8310, Loss: 0.2250
Epoch 8 Batch 725/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8420, Loss: 0.1798
Epoch 8 Batch 726/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8413, Loss: 0.1953
Epoch 8 Batch 727/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8406, Loss: 0.1888
Epoch 8 Batch 728/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8459, Loss: 0.1997
Epoch 8 Batch 729/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8366, Loss: 0.2128
Epoch 8 Batch 730/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8434, Loss: 0.2181
Epoch 8 Batch 731/1077 - Train Accuracy: 0.8307, Validation Accuracy: 0.8391, Loss: 0.2031
Epoch 8 Batch 732/1077 - Train Accuracy: 0.8561, Validation Accuracy: 0.8494, Loss: 0.2014
Epoch 8 Batch 733/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8480, Loss: 0.2033
Epoch 8 Batch 734/1077 - Train Accuracy: 0.8614, Validation Accuracy: 0.8487, Loss: 0.2250
Epoch 8 Batch 735/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8438, Loss: 0.1993
Epoch 8 Batch 736/1077 - Train Accuracy: 0.8882, Validation Accuracy: 0.8441, Loss: 0.1805
Epoch 8 Batch 737/1077 - Train Accuracy: 0.8422, Validation Accuracy: 0.8441, Loss: 0.2318
Epoch 8 Batch 738/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8416, Loss: 0.1653
Epoch 8 Batch 739/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8448, Loss: 0.1844
Epoch 8 Batch 740/1077 - Train Accuracy: 0.8762, Validation Accuracy: 0.8509, Loss: 0.1878
Epoch 8 Batch 741/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8512, Loss: 0.2142
Epoch 8 Batch 742/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8530, Loss: 0.2032
Epoch 8 Batch 743/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8484, Loss: 0.2155
Epoch 8 Batch 744/1077 - Train Accuracy: 0.9137, Validation Accuracy: 0.8562, Loss: 0.1865
Epoch 8 Batch 745/1077 - Train Accuracy: 0.8906, Validation Accuracy: 0.8498, Loss: 0.2013
Epoch 8 Batch 746/1077 - Train Accuracy: 0.8984, Validation Accuracy: 0.8327, Loss: 0.1844
Epoch 8 Batch 747/1077 - Train Accuracy: 0.8746, Validation Accuracy: 0.8313, Loss: 0.1821
Epoch 8 Batch 748/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8320, Loss: 0.2113
Epoch 8 Batch 749/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8260, Loss: 0.1985
Epoch 8 Batch 750/1077 - Train Accuracy: 0.8965, Validation Accuracy: 0.8200, Loss: 0.1892
Epoch 8 Batch 751/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8189, Loss: 0.1964
Epoch 8 Batch 752/1077 - Train Accuracy: 0.8690, Validation Accuracy: 0.8235, Loss: 0.1844
Epoch 8 Batch 753/1077 - Train Accuracy: 0.8879, Validation Accuracy: 0.8292, Loss: 0.1924
Epoch 8 Batch 754/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8253, Loss: 0.2030
Epoch 8 Batch 755/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8288, Loss: 0.1946
Epoch 8 Batch 756/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8278, Loss: 0.1801
Epoch 8 Batch 757/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8487, Loss: 0.2069
Epoch 8 Batch 758/1077 - Train Accuracy: 0.8869, Validation Accuracy: 0.8466, Loss: 0.1899
Epoch 8 Batch 759/1077 - Train Accuracy: 0.8914, Validation Accuracy: 0.8438, Loss: 0.1853
Epoch 8 Batch 760/1077 - Train Accuracy: 0.8918, Validation Accuracy: 0.8491, Loss: 0.2046
Epoch 8 Batch 761/1077 - Train Accuracy: 0.8528, Validation Accuracy: 0.8544, Loss: 0.1984
Epoch 8 Batch 762/1077 - Train Accuracy: 0.8875, Validation Accuracy: 0.8544, Loss: 0.1753
Epoch 8 Batch 763/1077 - Train Accuracy: 0.8854, Validation Accuracy: 0.8533, Loss: 0.1801
Epoch 8 Batch 764/1077 - Train Accuracy: 0.8816, Validation Accuracy: 0.8530, Loss: 0.2058
Epoch 8 Batch 765/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8526, Loss: 0.1932
Epoch 8 Batch 766/1077 - Train Accuracy: 0.8367, Validation Accuracy: 0.8530, Loss: 0.2042
Epoch 8 Batch 767/1077 - Train Accuracy: 0.8793, Validation Accuracy: 0.8445, Loss: 0.1847
Epoch 8 Batch 768/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8548, Loss: 0.1981
Epoch 8 Batch 769/1077 - Train Accuracy: 0.9023, Validation Accuracy: 0.8466, Loss: 0.1962
Epoch 8 Batch 770/1077 - Train Accuracy: 0.8393, Validation Accuracy: 0.8512, Loss: 0.1912
Epoch 8 Batch 771/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8260, Loss: 0.2163
Epoch 8 Batch 772/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8288, Loss: 0.1833
Epoch 8 Batch 773/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8338, Loss: 0.1789
Epoch 8 Batch 774/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8374, Loss: 0.1964
Epoch 8 Batch 775/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8359, Loss: 0.1907
Epoch 8 Batch 776/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8331, Loss: 0.2015
Epoch 8 Batch 777/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8398, Loss: 0.2051
Epoch 8 Batch 778/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8587, Loss: 0.1920
Epoch 8 Batch 779/1077 - Train Accuracy: 0.8340, Validation Accuracy: 0.8594, Loss: 0.2121
Epoch 8 Batch 780/1077 - Train Accuracy: 0.8281, Validation Accuracy: 0.8551, Loss: 0.2447
Epoch 8 Batch 781/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8572, Loss: 0.1585
Epoch 8 Batch 782/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8505, Loss: 0.2007
Epoch 8 Batch 783/1077 - Train Accuracy: 0.8400, Validation Accuracy: 0.8540, Loss: 0.2191
Epoch 8 Batch 784/1077 - Train Accuracy: 0.8863, Validation Accuracy: 0.8498, Loss: 0.1736
Epoch 8 Batch 785/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8438, Loss: 0.1899
Epoch 8 Batch 786/1077 - Train Accuracy: 0.8160, Validation Accuracy: 0.8448, Loss: 0.2044
Epoch 8 Batch 787/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8402, Loss: 0.1892
Epoch 8 Batch 788/1077 - Train Accuracy: 0.8809, Validation Accuracy: 0.8530, Loss: 0.1933
Epoch 8 Batch 789/1077 - Train Accuracy: 0.8618, Validation Accuracy: 0.8526, Loss: 0.2189
Epoch 8 Batch 790/1077 - Train Accuracy: 0.8383, Validation Accuracy: 0.8480, Loss: 0.2130
Epoch 8 Batch 791/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8384, Loss: 0.2089
Epoch 8 Batch 792/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8260, Loss: 0.2006
Epoch 8 Batch 793/1077 - Train Accuracy: 0.8965, Validation Accuracy: 0.8285, Loss: 0.1901
Epoch 8 Batch 794/1077 - Train Accuracy: 0.8543, Validation Accuracy: 0.8317, Loss: 0.1863
Epoch 8 Batch 795/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8295, Loss: 0.2162
Epoch 8 Batch 796/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8278, Loss: 0.2035
Epoch 8 Batch 797/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8349, Loss: 0.1996
Epoch 8 Batch 798/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8349, Loss: 0.2030
Epoch 8 Batch 799/1077 - Train Accuracy: 0.8164, Validation Accuracy: 0.8342, Loss: 0.2450
Epoch 8 Batch 800/1077 - Train Accuracy: 0.8359, Validation Accuracy: 0.8253, Loss: 0.2033
Epoch 8 Batch 801/1077 - Train Accuracy: 0.8297, Validation Accuracy: 0.8292, Loss: 0.2240
Epoch 8 Batch 802/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8232, Loss: 0.2060
Epoch 8 Batch 803/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8306, Loss: 0.2184
Epoch 8 Batch 804/1077 - Train Accuracy: 0.8773, Validation Accuracy: 0.8246, Loss: 0.1752
Epoch 8 Batch 805/1077 - Train Accuracy: 0.8348, Validation Accuracy: 0.8267, Loss: 0.1957
Epoch 8 Batch 806/1077 - Train Accuracy: 0.8479, Validation Accuracy: 0.8366, Loss: 0.1905
Epoch 8 Batch 807/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8377, Loss: 0.1655
Epoch 8 Batch 808/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8331, Loss: 0.2022
Epoch 8 Batch 809/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8295, Loss: 0.2248
Epoch 8 Batch 810/1077 - Train Accuracy: 0.8735, Validation Accuracy: 0.8327, Loss: 0.1725
Epoch 8 Batch 811/1077 - Train Accuracy: 0.8650, Validation Accuracy: 0.8331, Loss: 0.1875
Epoch 8 Batch 812/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8324, Loss: 0.2004
Epoch 8 Batch 813/1077 - Train Accuracy: 0.8289, Validation Accuracy: 0.8281, Loss: 0.2084
Epoch 8 Batch 814/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8242, Loss: 0.2164
Epoch 8 Batch 815/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8345, Loss: 0.1896
Epoch 8 Batch 816/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8533, Loss: 0.2083
Epoch 8 Batch 817/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8608, Loss: 0.2185
Epoch 8 Batch 818/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8693, Loss: 0.2089
Epoch 8 Batch 819/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8672, Loss: 0.2029
Epoch 8 Batch 820/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8604, Loss: 0.2016
Epoch 8 Batch 821/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8548, Loss: 0.1920
Epoch 8 Batch 822/1077 - Train Accuracy: 0.9117, Validation Accuracy: 0.8580, Loss: 0.1985
Epoch 8 Batch 823/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8576, Loss: 0.2041
Epoch 8 Batch 824/1077 - Train Accuracy: 0.8806, Validation Accuracy: 0.8558, Loss: 0.1870
Epoch 8 Batch 825/1077 - Train Accuracy: 0.8945, Validation Accuracy: 0.8569, Loss: 0.1763
Epoch 8 Batch 826/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8516, Loss: 0.1678
Epoch 8 Batch 827/1077 - Train Accuracy: 0.8553, Validation Accuracy: 0.8537, Loss: 0.2241
Epoch 8 Batch 828/1077 - Train Accuracy: 0.8418, Validation Accuracy: 0.8540, Loss: 0.1922
Epoch 8 Batch 829/1077 - Train Accuracy: 0.8410, Validation Accuracy: 0.8530, Loss: 0.2218
Epoch 8 Batch 830/1077 - Train Accuracy: 0.8219, Validation Accuracy: 0.8526, Loss: 0.1895
Epoch 8 Batch 831/1077 - Train Accuracy: 0.8449, Validation Accuracy: 0.8608, Loss: 0.2085
Epoch 8 Batch 832/1077 - Train Accuracy: 0.9016, Validation Accuracy: 0.8580, Loss: 0.2023
Epoch 8 Batch 833/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8594, Loss: 0.1972
Epoch 8 Batch 834/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8643, Loss: 0.1967
Epoch 8 Batch 835/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8587, Loss: 0.2032
Epoch 8 Batch 836/1077 - Train Accuracy: 0.9128, Validation Accuracy: 0.8587, Loss: 0.2001
Epoch 8 Batch 837/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8583, Loss: 0.2208
Epoch 8 Batch 838/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8587, Loss: 0.1792
Epoch 8 Batch 839/1077 - Train Accuracy: 0.8875, Validation Accuracy: 0.8551, Loss: 0.1890
Epoch 8 Batch 840/1077 - Train Accuracy: 0.9230, Validation Accuracy: 0.8548, Loss: 0.1854
Epoch 8 Batch 841/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8594, Loss: 0.2124
Epoch 8 Batch 842/1077 - Train Accuracy: 0.9145, Validation Accuracy: 0.8594, Loss: 0.1920
Epoch 8 Batch 843/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8612, Loss: 0.1808
Epoch 8 Batch 844/1077 - Train Accuracy: 0.8724, Validation Accuracy: 0.8626, Loss: 0.1835
Epoch 8 Batch 845/1077 - Train Accuracy: 0.8715, Validation Accuracy: 0.8569, Loss: 0.1969
Epoch 8 Batch 846/1077 - Train Accuracy: 0.8668, Validation Accuracy: 0.8555, Loss: 0.2201
Epoch 8 Batch 847/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8427, Loss: 0.2248
Epoch 8 Batch 848/1077 - Train Accuracy: 0.8926, Validation Accuracy: 0.8498, Loss: 0.1896
Epoch 8 Batch 849/1077 - Train Accuracy: 0.8648, Validation Accuracy: 0.8505, Loss: 0.1856
Epoch 8 Batch 850/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8462, Loss: 0.2312
Epoch 8 Batch 851/1077 - Train Accuracy: 0.8731, Validation Accuracy: 0.8413, Loss: 0.2266
Epoch 8 Batch 852/1077 - Train Accuracy: 0.8242, Validation Accuracy: 0.8377, Loss: 0.2206
Epoch 8 Batch 853/1077 - Train Accuracy: 0.8848, Validation Accuracy: 0.8374, Loss: 0.1795
Epoch 8 Batch 854/1077 - Train Accuracy: 0.8688, Validation Accuracy: 0.8374, Loss: 0.2069
Epoch 8 Batch 855/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8320, Loss: 0.2100
Epoch 8 Batch 856/1077 - Train Accuracy: 0.8598, Validation Accuracy: 0.8263, Loss: 0.2080
Epoch 8 Batch 857/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8313, Loss: 0.1816
Epoch 8 Batch 858/1077 - Train Accuracy: 0.8828, Validation Accuracy: 0.8224, Loss: 0.1754
Epoch 8 Batch 859/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8232, Loss: 0.2038
Epoch 8 Batch 860/1077 - Train Accuracy: 0.8374, Validation Accuracy: 0.8239, Loss: 0.2103
Epoch 8 Batch 861/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8249, Loss: 0.1913
Epoch 8 Batch 862/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8278, Loss: 0.2065
Epoch 8 Batch 863/1077 - Train Accuracy: 0.8902, Validation Accuracy: 0.8345, Loss: 0.1825
Epoch 8 Batch 864/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8409, Loss: 0.1788
Epoch 8 Batch 865/1077 - Train Accuracy: 0.8665, Validation Accuracy: 0.8377, Loss: 0.1945
Epoch 8 Batch 866/1077 - Train Accuracy: 0.8903, Validation Accuracy: 0.8331, Loss: 0.2028
Epoch 8 Batch 867/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8370, Loss: 0.2558
Epoch 8 Batch 868/1077 - Train Accuracy: 0.8824, Validation Accuracy: 0.8391, Loss: 0.2050
Epoch 8 Batch 869/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8391, Loss: 0.1956
Epoch 8 Batch 870/1077 - Train Accuracy: 0.8331, Validation Accuracy: 0.8356, Loss: 0.2049
Epoch 8 Batch 871/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8370, Loss: 0.1867
Epoch 8 Batch 872/1077 - Train Accuracy: 0.8672, Validation Accuracy: 0.8271, Loss: 0.1831
Epoch 8 Batch 873/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8285, Loss: 0.1984
Epoch 8 Batch 874/1077 - Train Accuracy: 0.8426, Validation Accuracy: 0.8370, Loss: 0.2281
Epoch 8 Batch 875/1077 - Train Accuracy: 0.8641, Validation Accuracy: 0.8441, Loss: 0.2033
Epoch 8 Batch 876/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8434, Loss: 0.2155
Epoch 8 Batch 877/1077 - Train Accuracy: 0.9004, Validation Accuracy: 0.8430, Loss: 0.1895
Epoch 8 Batch 878/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8477, Loss: 0.1874
Epoch 8 Batch 879/1077 - Train Accuracy: 0.8758, Validation Accuracy: 0.8409, Loss: 0.1866
Epoch 8 Batch 880/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8384, Loss: 0.1871
Epoch 8 Batch 881/1077 - Train Accuracy: 0.8621, Validation Accuracy: 0.8420, Loss: 0.1942
Epoch 8 Batch 882/1077 - Train Accuracy: 0.9023, Validation Accuracy: 0.8413, Loss: 0.2143
Epoch 8 Batch 883/1077 - Train Accuracy: 0.8252, Validation Accuracy: 0.8416, Loss: 0.2211
Epoch 8 Batch 884/1077 - Train Accuracy: 0.8578, Validation Accuracy: 0.8455, Loss: 0.1902
Epoch 8 Batch 885/1077 - Train Accuracy: 0.8913, Validation Accuracy: 0.8477, Loss: 0.1720
Epoch 8 Batch 886/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8622, Loss: 0.2119
Epoch 8 Batch 887/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8675, Loss: 0.2181
Epoch 8 Batch 888/1077 - Train Accuracy: 0.8899, Validation Accuracy: 0.8576, Loss: 0.1836
Epoch 8 Batch 889/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8587, Loss: 0.2091
Epoch 8 Batch 890/1077 - Train Accuracy: 0.8962, Validation Accuracy: 0.8540, Loss: 0.1788
Epoch 8 Batch 891/1077 - Train Accuracy: 0.8857, Validation Accuracy: 0.8413, Loss: 0.1856
Epoch 8 Batch 892/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8406, Loss: 0.1853
Epoch 8 Batch 893/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8306, Loss: 0.1840
Epoch 8 Batch 894/1077 - Train Accuracy: 0.8903, Validation Accuracy: 0.8335, Loss: 0.1868
Epoch 8 Batch 895/1077 - Train Accuracy: 0.8660, Validation Accuracy: 0.8320, Loss: 0.1925
Epoch 8 Batch 896/1077 - Train Accuracy: 0.8586, Validation Accuracy: 0.8338, Loss: 0.2008
Epoch 8 Batch 897/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8335, Loss: 0.1715
Epoch 8 Batch 898/1077 - Train Accuracy: 0.8813, Validation Accuracy: 0.8338, Loss: 0.1757
Epoch 8 Batch 899/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8356, Loss: 0.2108
Epoch 8 Batch 900/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8366, Loss: 0.1974
Epoch 8 Batch 901/1077 - Train Accuracy: 0.8471, Validation Accuracy: 0.8377, Loss: 0.2224
Epoch 8 Batch 902/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8441, Loss: 0.2093
Epoch 8 Batch 903/1077 - Train Accuracy: 0.8680, Validation Accuracy: 0.8441, Loss: 0.1915
Epoch 8 Batch 904/1077 - Train Accuracy: 0.8613, Validation Accuracy: 0.8420, Loss: 0.1970
Epoch 8 Batch 905/1077 - Train Accuracy: 0.8695, Validation Accuracy: 0.8434, Loss: 0.1934
Epoch 8 Batch 906/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8434, Loss: 0.2034
Epoch 8 Batch 907/1077 - Train Accuracy: 0.8934, Validation Accuracy: 0.8469, Loss: 0.1974
Epoch 8 Batch 908/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8452, Loss: 0.2171
Epoch 8 Batch 909/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8473, Loss: 0.2009
Epoch 8 Batch 910/1077 - Train Accuracy: 0.8486, Validation Accuracy: 0.8491, Loss: 0.2049
Epoch 8 Batch 911/1077 - Train Accuracy: 0.8707, Validation Accuracy: 0.8494, Loss: 0.1794
Epoch 8 Batch 912/1077 - Train Accuracy: 0.8617, Validation Accuracy: 0.8395, Loss: 0.2036
Epoch 8 Batch 913/1077 - Train Accuracy: 0.8609, Validation Accuracy: 0.8338, Loss: 0.2502
Epoch 8 Batch 914/1077 - Train Accuracy: 0.8747, Validation Accuracy: 0.8384, Loss: 0.2284
Epoch 8 Batch 915/1077 - Train Accuracy: 0.8335, Validation Accuracy: 0.8395, Loss: 0.1982
Epoch 8 Batch 916/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8501, Loss: 0.2164
Epoch 8 Batch 917/1077 - Train Accuracy: 0.8883, Validation Accuracy: 0.8580, Loss: 0.1825
Epoch 8 Batch 918/1077 - Train Accuracy: 0.8791, Validation Accuracy: 0.8640, Loss: 0.1708
Epoch 8 Batch 919/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8526, Loss: 0.1781
Epoch 8 Batch 920/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8583, Loss: 0.1995
Epoch 8 Batch 921/1077 - Train Accuracy: 0.8172, Validation Accuracy: 0.8576, Loss: 0.2099
Epoch 8 Batch 922/1077 - Train Accuracy: 0.8147, Validation Accuracy: 0.8580, Loss: 0.2000
Epoch 8 Batch 923/1077 - Train Accuracy: 0.8857, Validation Accuracy: 0.8590, Loss: 0.1922
Epoch 8 Batch 924/1077 - Train Accuracy: 0.8561, Validation Accuracy: 0.8523, Loss: 0.2317
Epoch 8 Batch 925/1077 - Train Accuracy: 0.8765, Validation Accuracy: 0.8661, Loss: 0.1733
Epoch 8 Batch 926/1077 - Train Accuracy: 0.8465, Validation Accuracy: 0.8679, Loss: 0.1946
Epoch 8 Batch 927/1077 - Train Accuracy: 0.8430, Validation Accuracy: 0.8601, Loss: 0.2225
Epoch 8 Batch 928/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8615, Loss: 0.2108
Epoch 8 Batch 929/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8551, Loss: 0.1928
Epoch 8 Batch 930/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8445, Loss: 0.1827
Epoch 8 Batch 931/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8331, Loss: 0.1910
Epoch 8 Batch 932/1077 - Train Accuracy: 0.8492, Validation Accuracy: 0.8224, Loss: 0.2016
Epoch 8 Batch 933/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8263, Loss: 0.1961
Epoch 8 Batch 934/1077 - Train Accuracy: 0.8547, Validation Accuracy: 0.8398, Loss: 0.1791
Epoch 8 Batch 935/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8395, Loss: 0.2054
Epoch 8 Batch 936/1077 - Train Accuracy: 0.8798, Validation Accuracy: 0.8409, Loss: 0.2038
Epoch 8 Batch 937/1077 - Train Accuracy: 0.8832, Validation Accuracy: 0.8448, Loss: 0.2147
Epoch 8 Batch 938/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8306, Loss: 0.2117
Epoch 8 Batch 939/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8388, Loss: 0.2121
Epoch 8 Batch 940/1077 - Train Accuracy: 0.8406, Validation Accuracy: 0.8292, Loss: 0.1968
Epoch 8 Batch 941/1077 - Train Accuracy: 0.8694, Validation Accuracy: 0.8235, Loss: 0.1785
Epoch 8 Batch 942/1077 - Train Accuracy: 0.8945, Validation Accuracy: 0.8303, Loss: 0.1964
Epoch 8 Batch 943/1077 - Train Accuracy: 0.8820, Validation Accuracy: 0.8331, Loss: 0.2208
Epoch 8 Batch 944/1077 - Train Accuracy: 0.8475, Validation Accuracy: 0.8363, Loss: 0.1730
Epoch 8 Batch 945/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8388, Loss: 0.1754
Epoch 8 Batch 946/1077 - Train Accuracy: 0.9091, Validation Accuracy: 0.8381, Loss: 0.1948
Epoch 8 Batch 947/1077 - Train Accuracy: 0.8294, Validation Accuracy: 0.8359, Loss: 0.2112
Epoch 8 Batch 948/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8363, Loss: 0.1869
Epoch 8 Batch 949/1077 - Train Accuracy: 0.8962, Validation Accuracy: 0.8409, Loss: 0.1639
Epoch 8 Batch 950/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8409, Loss: 0.1856
Epoch 8 Batch 951/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8448, Loss: 0.1914
Epoch 8 Batch 952/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8434, Loss: 0.1784
Epoch 8 Batch 953/1077 - Train Accuracy: 0.9235, Validation Accuracy: 0.8494, Loss: 0.1883
Epoch 8 Batch 954/1077 - Train Accuracy: 0.8504, Validation Accuracy: 0.8558, Loss: 0.2079
Epoch 8 Batch 955/1077 - Train Accuracy: 0.8516, Validation Accuracy: 0.8516, Loss: 0.1905
Epoch 8 Batch 956/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8537, Loss: 0.2018
Epoch 8 Batch 957/1077 - Train Accuracy: 0.9077, Validation Accuracy: 0.8576, Loss: 0.1748
Epoch 8 Batch 958/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8544, Loss: 0.2013
Epoch 8 Batch 959/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8232, Loss: 0.1796
Epoch 8 Batch 960/1077 - Train Accuracy: 0.8445, Validation Accuracy: 0.8228, Loss: 0.1806
Epoch 8 Batch 961/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8288, Loss: 0.1864
Epoch 8 Batch 962/1077 - Train Accuracy: 0.8743, Validation Accuracy: 0.8242, Loss: 0.1706
Epoch 8 Batch 963/1077 - Train Accuracy: 0.8811, Validation Accuracy: 0.8235, Loss: 0.2340
Epoch 8 Batch 964/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8260, Loss: 0.1602
Epoch 8 Batch 965/1077 - Train Accuracy: 0.8549, Validation Accuracy: 0.8331, Loss: 0.2146
Epoch 8 Batch 966/1077 - Train Accuracy: 0.8716, Validation Accuracy: 0.8342, Loss: 0.1721
Epoch 8 Batch 967/1077 - Train Accuracy: 0.8391, Validation Accuracy: 0.8512, Loss: 0.2005
Epoch 8 Batch 968/1077 - Train Accuracy: 0.8539, Validation Accuracy: 0.8587, Loss: 0.2188
Epoch 8 Batch 969/1077 - Train Accuracy: 0.8620, Validation Accuracy: 0.8604, Loss: 0.2029
Epoch 8 Batch 970/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8587, Loss: 0.2197
Epoch 8 Batch 971/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8640, Loss: 0.2160
Epoch 8 Batch 972/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8636, Loss: 0.1806
Epoch 8 Batch 973/1077 - Train Accuracy: 0.9092, Validation Accuracy: 0.8622, Loss: 0.1713
Epoch 8 Batch 974/1077 - Train Accuracy: 0.8535, Validation Accuracy: 0.8576, Loss: 0.1989
Epoch 8 Batch 975/1077 - Train Accuracy: 0.8709, Validation Accuracy: 0.8533, Loss: 0.1838
Epoch 8 Batch 976/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8512, Loss: 0.1903
Epoch 8 Batch 977/1077 - Train Accuracy: 0.8691, Validation Accuracy: 0.8519, Loss: 0.1954
Epoch 8 Batch 978/1077 - Train Accuracy: 0.8953, Validation Accuracy: 0.8484, Loss: 0.2012
Epoch 8 Batch 979/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8484, Loss: 0.1880
Epoch 8 Batch 980/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8310, Loss: 0.1972
Epoch 8 Batch 981/1077 - Train Accuracy: 0.8176, Validation Accuracy: 0.8324, Loss: 0.1859
Epoch 8 Batch 982/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8288, Loss: 0.2026
Epoch 8 Batch 983/1077 - Train Accuracy: 0.8244, Validation Accuracy: 0.8292, Loss: 0.2159
Epoch 8 Batch 984/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8299, Loss: 0.2236
Epoch 8 Batch 985/1077 - Train Accuracy: 0.8930, Validation Accuracy: 0.8242, Loss: 0.1931
Epoch 8 Batch 986/1077 - Train Accuracy: 0.8508, Validation Accuracy: 0.8242, Loss: 0.2082
Epoch 8 Batch 987/1077 - Train Accuracy: 0.8363, Validation Accuracy: 0.8377, Loss: 0.2042
Epoch 8 Batch 988/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8263, Loss: 0.1962
Epoch 8 Batch 989/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8303, Loss: 0.2132
Epoch 8 Batch 990/1077 - Train Accuracy: 0.8557, Validation Accuracy: 0.8246, Loss: 0.2215
Epoch 8 Batch 991/1077 - Train Accuracy: 0.8742, Validation Accuracy: 0.8224, Loss: 0.2052
Epoch 8 Batch 992/1077 - Train Accuracy: 0.8551, Validation Accuracy: 0.8242, Loss: 0.1915
Epoch 8 Batch 993/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8249, Loss: 0.1743
Epoch 8 Batch 994/1077 - Train Accuracy: 0.8582, Validation Accuracy: 0.8310, Loss: 0.1983
Epoch 8 Batch 995/1077 - Train Accuracy: 0.8683, Validation Accuracy: 0.8374, Loss: 0.1953
Epoch 8 Batch 996/1077 - Train Accuracy: 0.8629, Validation Accuracy: 0.8335, Loss: 0.1787
Epoch 8 Batch 997/1077 - Train Accuracy: 0.8701, Validation Accuracy: 0.8395, Loss: 0.2018
Epoch 8 Batch 998/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8423, Loss: 0.1805
Epoch 8 Batch 999/1077 - Train Accuracy: 0.8805, Validation Accuracy: 0.8438, Loss: 0.2024
Epoch 8 Batch 1000/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8537, Loss: 0.1671
Epoch 8 Batch 1001/1077 - Train Accuracy: 0.8810, Validation Accuracy: 0.8533, Loss: 0.1823
Epoch 8 Batch 1002/1077 - Train Accuracy: 0.9074, Validation Accuracy: 0.8487, Loss: 0.1894
Epoch 8 Batch 1003/1077 - Train Accuracy: 0.8956, Validation Accuracy: 0.8320, Loss: 0.1966
Epoch 8 Batch 1004/1077 - Train Accuracy: 0.8789, Validation Accuracy: 0.8310, Loss: 0.1995
Epoch 8 Batch 1005/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8349, Loss: 0.1957
Epoch 8 Batch 1006/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8366, Loss: 0.1774
Epoch 8 Batch 1007/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8313, Loss: 0.1796
Epoch 8 Batch 1008/1077 - Train Accuracy: 0.8676, Validation Accuracy: 0.8359, Loss: 0.2179
Epoch 8 Batch 1009/1077 - Train Accuracy: 0.9090, Validation Accuracy: 0.8381, Loss: 0.1818
Epoch 8 Batch 1010/1077 - Train Accuracy: 0.8770, Validation Accuracy: 0.8363, Loss: 0.1868
Epoch 8 Batch 1011/1077 - Train Accuracy: 0.8812, Validation Accuracy: 0.8327, Loss: 0.1882
Epoch 8 Batch 1012/1077 - Train Accuracy: 0.8880, Validation Accuracy: 0.8377, Loss: 0.1675
Epoch 8 Batch 1013/1077 - Train Accuracy: 0.8847, Validation Accuracy: 0.8388, Loss: 0.1776
Epoch 8 Batch 1014/1077 - Train Accuracy: 0.8625, Validation Accuracy: 0.8441, Loss: 0.2027
Epoch 8 Batch 1015/1077 - Train Accuracy: 0.8484, Validation Accuracy: 0.8608, Loss: 0.2098
Epoch 8 Batch 1016/1077 - Train Accuracy: 0.8542, Validation Accuracy: 0.8548, Loss: 0.2105
Epoch 8 Batch 1017/1077 - Train Accuracy: 0.8433, Validation Accuracy: 0.8604, Loss: 0.2083
Epoch 8 Batch 1018/1077 - Train Accuracy: 0.8344, Validation Accuracy: 0.8601, Loss: 0.1922
Epoch 8 Batch 1019/1077 - Train Accuracy: 0.8734, Validation Accuracy: 0.8640, Loss: 0.2365
Epoch 8 Batch 1020/1077 - Train Accuracy: 0.9004, Validation Accuracy: 0.8597, Loss: 0.1870
Epoch 8 Batch 1021/1077 - Train Accuracy: 0.8222, Validation Accuracy: 0.8597, Loss: 0.1969
Epoch 8 Batch 1022/1077 - Train Accuracy: 0.8467, Validation Accuracy: 0.8537, Loss: 0.1761
Epoch 8 Batch 1023/1077 - Train Accuracy: 0.8913, Validation Accuracy: 0.8544, Loss: 0.1901
Epoch 8 Batch 1024/1077 - Train Accuracy: 0.8090, Validation Accuracy: 0.8484, Loss: 0.2199
Epoch 8 Batch 1025/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8469, Loss: 0.1952
Epoch 8 Batch 1026/1077 - Train Accuracy: 0.9036, Validation Accuracy: 0.8398, Loss: 0.1906
Epoch 8 Batch 1027/1077 - Train Accuracy: 0.8480, Validation Accuracy: 0.8430, Loss: 0.2104
Epoch 8 Batch 1028/1077 - Train Accuracy: 0.8285, Validation Accuracy: 0.8537, Loss: 0.1872
Epoch 8 Batch 1029/1077 - Train Accuracy: 0.8496, Validation Accuracy: 0.8491, Loss: 0.1883
Epoch 8 Batch 1030/1077 - Train Accuracy: 0.8652, Validation Accuracy: 0.8427, Loss: 0.2024
Epoch 8 Batch 1031/1077 - Train Accuracy: 0.8507, Validation Accuracy: 0.8352, Loss: 0.2145
Epoch 8 Batch 1032/1077 - Train Accuracy: 0.8423, Validation Accuracy: 0.8249, Loss: 0.2381
Epoch 8 Batch 1033/1077 - Train Accuracy: 0.8337, Validation Accuracy: 0.8278, Loss: 0.2115
Epoch 8 Batch 1034/1077 - Train Accuracy: 0.8379, Validation Accuracy: 0.8366, Loss: 0.2122
Epoch 8 Batch 1035/1077 - Train Accuracy: 0.8981, Validation Accuracy: 0.8391, Loss: 0.1623
Epoch 8 Batch 1036/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8310, Loss: 0.2069
Epoch 8 Batch 1037/1077 - Train Accuracy: 0.8574, Validation Accuracy: 0.8313, Loss: 0.2048
Epoch 8 Batch 1038/1077 - Train Accuracy: 0.8867, Validation Accuracy: 0.8295, Loss: 0.2079
Epoch 8 Batch 1039/1077 - Train Accuracy: 0.8579, Validation Accuracy: 0.8200, Loss: 0.1762
Epoch 8 Batch 1040/1077 - Train Accuracy: 0.8606, Validation Accuracy: 0.8366, Loss: 0.1973
Epoch 8 Batch 1041/1077 - Train Accuracy: 0.8457, Validation Accuracy: 0.8381, Loss: 0.2101
Epoch 8 Batch 1042/1077 - Train Accuracy: 0.8844, Validation Accuracy: 0.8363, Loss: 0.1917
Epoch 8 Batch 1043/1077 - Train Accuracy: 0.8594, Validation Accuracy: 0.8363, Loss: 0.1989
Epoch 8 Batch 1044/1077 - Train Accuracy: 0.8590, Validation Accuracy: 0.8505, Loss: 0.2201
Epoch 8 Batch 1045/1077 - Train Accuracy: 0.8398, Validation Accuracy: 0.8430, Loss: 0.1832
Epoch 8 Batch 1046/1077 - Train Accuracy: 0.8754, Validation Accuracy: 0.8398, Loss: 0.1673
Epoch 8 Batch 1047/1077 - Train Accuracy: 0.8684, Validation Accuracy: 0.8395, Loss: 0.1785
Epoch 8 Batch 1048/1077 - Train Accuracy: 0.8441, Validation Accuracy: 0.8349, Loss: 0.1850
Epoch 8 Batch 1049/1077 - Train Accuracy: 0.8703, Validation Accuracy: 0.8374, Loss: 0.2108
Epoch 8 Batch 1050/1077 - Train Accuracy: 0.8664, Validation Accuracy: 0.8427, Loss: 0.1768
Epoch 8 Batch 1051/1077 - Train Accuracy: 0.8702, Validation Accuracy: 0.8477, Loss: 0.1829
Epoch 8 Batch 1052/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8519, Loss: 0.1749
Epoch 8 Batch 1053/1077 - Train Accuracy: 0.8698, Validation Accuracy: 0.8519, Loss: 0.1907
Epoch 8 Batch 1054/1077 - Train Accuracy: 0.8855, Validation Accuracy: 0.8523, Loss: 0.1836
Epoch 8 Batch 1055/1077 - Train Accuracy: 0.8730, Validation Accuracy: 0.8530, Loss: 0.1880
Epoch 8 Batch 1056/1077 - Train Accuracy: 0.8980, Validation Accuracy: 0.8583, Loss: 0.1684
Epoch 8 Batch 1057/1077 - Train Accuracy: 0.8442, Validation Accuracy: 0.8523, Loss: 0.2081
Epoch 8 Batch 1058/1077 - Train Accuracy: 0.8602, Validation Accuracy: 0.8480, Loss: 0.2321
Epoch 8 Batch 1059/1077 - Train Accuracy: 0.7998, Validation Accuracy: 0.8430, Loss: 0.2451
Epoch 8 Batch 1060/1077 - Train Accuracy: 0.8777, Validation Accuracy: 0.8473, Loss: 0.1827
Epoch 8 Batch 1061/1077 - Train Accuracy: 0.8320, Validation Accuracy: 0.8519, Loss: 0.2155
Epoch 8 Batch 1062/1077 - Train Accuracy: 0.8605, Validation Accuracy: 0.8477, Loss: 0.1982
Epoch 8 Batch 1063/1077 - Train Accuracy: 0.8520, Validation Accuracy: 0.8519, Loss: 0.1993
Epoch 8 Batch 1064/1077 - Train Accuracy: 0.8875, Validation Accuracy: 0.8530, Loss: 0.1959
Epoch 8 Batch 1065/1077 - Train Accuracy: 0.8645, Validation Accuracy: 0.8374, Loss: 0.1932
Epoch 8 Batch 1066/1077 - Train Accuracy: 0.9047, Validation Accuracy: 0.8359, Loss: 0.1845
Epoch 8 Batch 1067/1077 - Train Accuracy: 0.8719, Validation Accuracy: 0.8263, Loss: 0.2011
Epoch 8 Batch 1068/1077 - Train Accuracy: 0.8633, Validation Accuracy: 0.8267, Loss: 0.1937
Epoch 8 Batch 1069/1077 - Train Accuracy: 0.9025, Validation Accuracy: 0.8263, Loss: 0.1803
Epoch 8 Batch 1070/1077 - Train Accuracy: 0.8277, Validation Accuracy: 0.8299, Loss: 0.2046
Epoch 8 Batch 1071/1077 - Train Accuracy: 0.8500, Validation Accuracy: 0.8295, Loss: 0.1904
Epoch 8 Batch 1072/1077 - Train Accuracy: 0.8456, Validation Accuracy: 0.8256, Loss: 0.1925
Epoch 8 Batch 1073/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8320, Loss: 0.2304
Epoch 8 Batch 1074/1077 - Train Accuracy: 0.8810, Validation Accuracy: 0.8274, Loss: 0.2170
Epoch 8 Batch 1075/1077 - Train Accuracy: 0.8717, Validation Accuracy: 0.8413, Loss: 0.2134
Epoch 9 Batch 1/1077 - Train Accuracy: 0.9008, Validation Accuracy: 0.8540, Loss: 0.1841
Epoch 9 Batch 2/1077 - Train Accuracy: 0.8273, Validation Accuracy: 0.8569, Loss: 0.2104
Epoch 9 Batch 3/1077 - Train Accuracy: 0.8941, Validation Accuracy: 0.8576, Loss: 0.1891
Epoch 9 Batch 4/1077 - Train Accuracy: 0.8859, Validation Accuracy: 0.8565, Loss: 0.2050
Epoch 9 Batch 5/1077 - Train Accuracy: 0.8699, Validation Accuracy: 0.8551, Loss: 0.2168
Epoch 9 Batch 6/1077 - Train Accuracy: 0.8562, Validation Accuracy: 0.8544, Loss: 0.2117
Epoch 9 Batch 7/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8530, Loss: 0.1719
Epoch 9 Batch 8/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8555, Loss: 0.1770
Epoch 9 Batch 9/1077 - Train Accuracy: 0.8512, Validation Accuracy: 0.8572, Loss: 0.2072
Epoch 9 Batch 10/1077 - Train Accuracy: 0.8914, Validation Accuracy: 0.8583, Loss: 0.2040
Epoch 9 Batch 11/1077 - Train Accuracy: 0.8601, Validation Accuracy: 0.8509, Loss: 0.2157
Epoch 9 Batch 12/1077 - Train Accuracy: 0.8738, Validation Accuracy: 0.8377, Loss: 0.1937
Epoch 9 Batch 13/1077 - Train Accuracy: 0.8464, Validation Accuracy: 0.8324, Loss: 0.2163
Epoch 9 Batch 14/1077 - Train Accuracy: 0.8776, Validation Accuracy: 0.8320, Loss: 0.1707
Epoch 9 Batch 15/1077 - Train Accuracy: 0.8996, Validation Accuracy: 0.8274, Loss: 0.1988
Epoch 9 Batch 16/1077 - Train Accuracy: 0.8570, Validation Accuracy: 0.8317, Loss: 0.2113
Epoch 9 Batch 17/1077 - Train Accuracy: 0.8836, Validation Accuracy: 0.8260, Loss: 0.1951
Epoch 9 Batch 18/1077 - Train Accuracy: 0.8559, Validation Accuracy: 0.8320, Loss: 0.2057
Epoch 9 Batch 19/1077 - Train Accuracy: 0.8727, Validation Accuracy: 0.8327, Loss: 0.1906
Epoch 9 Batch 20/1077 - Train Accuracy: 0.8766, Validation Accuracy: 0.8338, Loss: 0.1684
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-125-fb1730fc8d25> in <module>()
46 target_sequence_length: targets_lengths,
47 source_sequence_length: sources_lengths,
---> 48 keep_prob: keep_probability})
49
50
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1037 def _do_call(self, fn, *args):
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
1041 message = compat.as_text(e.message)
/Users/venkata/anaconda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1019 return tf_session.TF_Run(session, options,
1020 feed_dict, fetch_list, target_list,
-> 1021 status, run_metadata)
1022
1023 def _prun_fn(session, handle, feed_dict, fetch_list):
KeyboardInterrupt:
In [ ]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Save parameters for checkpoint
helper.save_params(save_path)
In [ ]:
"""
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 [126]:
def sentence_to_seq(sentence, vocab_to_int):
"""
Convert a sentence to a sequence of ids
:param sentence: String
:param vocab_to_int: Dictionary to go from the words to an id
:return: List of word ids
"""
# TODO: Implement Function
word_ids = []
words = sentence.lower().split()
for word in words:
value = vocab_to_int.get(word)
if value is not None:
word_ids.append(value)
else:
word_ids.append(vocab_to_int.get('<UNK>'))
return word_ids
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_sentence_to_seq(sentence_to_seq)
Tests Passed
In [ ]:
translate_sentence = 'he saw a old yellow truck .'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
translate_sentence = sentence_to_seq(translate_sentence, source_vocab_to_int)
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
# Load saved model
loader = tf.train.import_meta_graph(load_path + '.meta')
loader.restore(sess, load_path)
input_data = loaded_graph.get_tensor_by_name('input:0')
logits = loaded_graph.get_tensor_by_name('predictions:0')
target_sequence_length = loaded_graph.get_tensor_by_name('target_sequence_length:0')
source_sequence_length = loaded_graph.get_tensor_by_name('source_sequence_length:0')
keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
translate_logits = sess.run(logits, {input_data: [translate_sentence]*batch_size,
target_sequence_length: [len(translate_sentence)*2]*batch_size,
source_sequence_length: [len(translate_sentence)]*batch_size,
keep_prob: 1.0})[0]
print('Input')
print(' Word Ids: {}'.format([i for i in translate_sentence]))
print(' English Words: {}'.format([source_int_to_vocab[i] for i in translate_sentence]))
print('\nPrediction')
print(' Word Ids: {}'.format([i for i in translate_logits]))
print(' French Words: {}'.format(" ".join([target_int_to_vocab[i] for i in translate_logits])))
You might notice that some sentences translate better than others. Since the dataset you're using only has a vocabulary of 227 English words of the thousands that you use, you're only going to see good results using these words. For this project, you don't need a perfect translation. However, if you want to create a better translation model, you'll need better data.
You can train on the WMT10 French-English corpus. This dataset has more vocabulary and richer in topics discussed. However, this will take you days to train, so make sure you've a GPU and the neural network is performing well on dataset we provided. Just make sure you play with the WMT10 corpus after you've submitted this project.
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_language_translation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.
Content source: raoyvn/deep-learning
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