语言翻译

在此项目中，你将了解神经网络机器翻译这一领域。你将用由英语和法语语句组成的数据集，训练一个序列到序列模型（sequence to sequence model），该模型能够将新的英语句子翻译成法语。

获取数据

因为将整个英语语言内容翻译成法语需要大量训练时间，所以我们提供了一小部分的英语语料库。

In [1]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
import problem_unittests as tests

source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)

探索数据

研究 view_sentence_range，查看并熟悉该数据的不同部分。

In [2]:
view_sentence_range = (0, 10)

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

print('Dataset Stats')
print('Roughly the number of unique words: {}'.format(len({word: None for word in source_text.split()})))

sentences = source_text.split('\n')
word_counts = [len(sentence.split()) for sentence in sentences]
print('Number of sentences: {}'.format(len(sentences)))
print('Average number of words in a sentence: {}'.format(np.average(word_counts)))

print()
print('English sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(source_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))
print()
print('French sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(target_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))

Dataset Stats
Roughly the number of unique words: 227
Number of sentences: 137861
Average number of words in a sentence: 13.225277634719028

English sentences 0 to 10:
new jersey is sometimes quiet during autumn , and it is snowy in april .
the united states is usually chilly during july , and it is usually freezing in november .
california is usually quiet during march , and it is usually hot in june .
the united states is sometimes mild during june , and it is cold in september .
your least liked fruit is the grape , but my least liked is the apple .
his favorite fruit is the orange , but my favorite is the grape .
paris is relaxing during december , but it is usually chilly in july .
new jersey is busy during spring , and it is never hot in march .
our least liked fruit is the lemon , but my least liked is the grape .
the united states is sometimes busy during january , and it is sometimes warm in november .

French sentences 0 to 10:
new jersey est parfois calme pendant l' automne , et il est neigeux en avril .
les états-unis est généralement froid en juillet , et il gèle habituellement en novembre .
california est généralement calme en mars , et il est généralement chaud en juin .
les états-unis est parfois légère en juin , et il fait froid en septembre .
votre moins aimé fruit est le raisin , mais mon moins aimé est la pomme .
son fruit préféré est l'orange , mais mon préféré est le raisin .
paris est relaxant en décembre , mais il est généralement froid en juillet .
new jersey est occupé au printemps , et il est jamais chaude en mars .
notre fruit est moins aimé le citron , mais mon moins aimé est le raisin .
les états-unis est parfois occupé en janvier , et il est parfois chaud en novembre .

实现预处理函数

文本到单词 id

和之前的 RNN 一样，你必须首先将文本转换为数字，这样计算机才能读懂。在函数 text_to_ids() 中，你需要将单词中的 source_text 和 target_text 转为 id。但是，你需要在 target_text 中每个句子的末尾，添加 <EOS> 单词 id。这样可以帮助神经网络预测句子应该在什么地方结束。

你可以通过以下代码获取 <EOS> 单词ID：

target_vocab_to_int['<EOS>']

你可以使用 source_vocab_to_int 和 target_vocab_to_int 获得其他单词 id。

In [3]:
def text_to_ids(source_text, target_text, source_vocab_to_int, target_vocab_to_int):
    """
    Convert source and target text to proper word ids
    :param source_text: String that contains all the source text.
    :param target_text: String that contains all the target text.
    :param source_vocab_to_int: Dictionary to go from the source words to an id
    :param target_vocab_to_int: Dictionary to go from the target words to an id
    :return: A tuple of lists (source_id_text, target_id_text)
    """
    # TODO: Implement Function
    source_id_text = [[source_vocab_to_int.get(word, source_vocab_to_int['<UNK>']) for word in line.split()] for line in source_text.split('\n')]
    
    target_id_text = [[target_vocab_to_int.get(word, target_vocab_to_int['<UNK>']) for word in line.split()] for line in target_text.split('\n')]
    target_id_text = [id_text+[target_vocab_to_int['<EOS>']] for id_text in 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

预处理所有数据并保存

运行以下代码单元，预处理所有数据，并保存到文件中。

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
helper.preprocess_and_save_data(source_path, target_path, text_to_ids)

检查点

这是你的第一个检查点。如果你什么时候决定再回到该记事本，或需要重新启动该记事本，可以从这里继续。预处理的数据已保存到磁盘上。

In [5]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
import helper

(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()

检查 TensorFlow 版本，确认可访问 GPU

这一检查步骤，可以确保你使用的是正确版本的 TensorFlow，并且能够访问 GPU。

In [6]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) in [LooseVersion('1.0.0'), LooseVersion('1.0.1')], 'This project requires TensorFlow version 1.0  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))

TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0

构建神经网络

你将通过实现以下函数，构建出要构建一个序列到序列模型所需的组件：

  • model_inputs
  • process_decoding_input
  • encoding_layer
  • decoding_layer_train
  • decoding_layer_infer
  • decoding_layer
  • seq2seq_model

输入

实现 model_inputs() 函数，为神经网络创建 TF 占位符。该函数应该创建以下占位符：

  • 名为 “input” 的输入文本占位符，并使用 TF Placeholder 名称参数（等级（Rank）为 2）。
  • 目标占位符（等级为 2）。
  • 学习速率占位符（等级为 0）。
  • 名为 “keep_prob” 的保留率占位符，并使用 TF Placeholder 名称参数（等级为 0）。

在以下元祖（tuple）中返回占位符：（输入、目标、学习速率、保留率）

In [7]:
def model_inputs():
    """
    Create TF Placeholders for input, targets, and learning rate.
    :return: Tuple (input, targets, learning rate, keep probability)
    """
    # TODO: Implement Function
    input_data = tf.placeholder(tf.int32, [None, None],name='input')
    targets = tf.placeholder(tf.int32, [None, None])
    lr = tf.placeholder(tf.float32)
    keep_prob = tf.placeholder(tf.float32,name='keep_prob')
    return input_data, targets, lr, keep_prob

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)

Tests Passed

处理解码输入

使用 TensorFlow 实现 process_decoding_input，以便删掉 target_data 中每个批次的最后一个单词 ID，并将 GO ID 放到每个批次的开头。

In [8]:
def process_decoding_input(target_data, target_vocab_to_int, batch_size):
    """
    Preprocess target data for dencoding
    :param target_data: Target Placehoder
    :param target_vocab_to_int: Dictionary to go from the target words to an id
    :param batch_size: Batch Size
    :return: Preprocessed target data
    """
    # 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_decoding_input(process_decoding_input)

Tests Passed

编码

实现 encoding_layer()，以使用 tf.nn.dynamic_rnn() 创建编码器 RNN 层级。

In [9]:
def encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob):
    """
    Create encoding layer
    :param rnn_inputs: Inputs for the RNN
    :param rnn_size: RNN Size
    :param num_layers: Number of layers
    :param keep_prob: Dropout keep probability
    :return: RNN state
    """
    # TODO: Implement Function
    cell = tf.contrib.rnn.BasicLSTMCell(rnn_size)
    keep_prob_cell = tf.contrib.rnn.DropoutWrapper(cell,input_keep_prob=keep_prob)
    enc_cell = tf.contrib.rnn.MultiRNNCell([keep_prob_cell] * num_layers)
    _, enc_state = tf.nn.dynamic_rnn(enc_cell, rnn_inputs, dtype=tf.float32)
    return enc_state

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_encoding_layer(encoding_layer)

Tests Passed

解码 - 训练

使用 tf.contrib.seq2seq.simple_decoder_fn_train() 和 tf.contrib.seq2seq.dynamic_rnn_decoder() 创建训练分对数（training logits）。将 output_fn 应用到 tf.contrib.seq2seq.dynamic_rnn_decoder() 输出上。

In [10]:
def decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope,
                         output_fn, keep_prob):
    """
    Create a decoding layer for training
    :param encoder_state: Encoder State
    :param dec_cell: Decoder RNN Cell
    :param dec_embed_input: Decoder embedded input
    :param sequence_length: Sequence Length
    :param decoding_scope: TenorFlow Variable Scope for decoding
    :param output_fn: Function to apply the output layer
    :param keep_prob: Dropout keep probability
    :return: Train Logits
    """
    # TODO: Implement Function
    keep_prob_cell = tf.contrib.rnn.DropoutWrapper(dec_cell,input_keep_prob=keep_prob)
    train_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_train(encoder_state)
    train_pred, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(
    keep_prob_cell, train_decoder_fn, dec_embed_input, sequence_length, scope=decoding_scope)
    train_logits =  output_fn(train_pred)
    return train_logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_train(decoding_layer_train)
    

Tests Passed

解码 - 推论

使用 tf.contrib.seq2seq.simple_decoder_fn_inference() 和 tf.contrib.seq2seq.dynamic_rnn_decoder() 创建推论分对数（inference logits）。

In [11]:
def decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id,
                         maximum_length, vocab_size, decoding_scope, output_fn, keep_prob):
    """
    Create a decoding layer for inference
    :param encoder_state: Encoder state
    :param dec_cell: Decoder RNN Cell
    :param dec_embeddings: Decoder embeddings
    :param start_of_sequence_id: GO ID
    :param end_of_sequence_id: EOS Id
    :param maximum_length: The maximum allowed time steps to decode
    :param vocab_size: Size of vocabulary
    :param decoding_scope: TensorFlow Variable Scope for decoding
    :param output_fn: Function to apply the output layer
    :param keep_prob: Dropout keep probability
    :return: Inference Logits
    """
    # TODO: Implement Function
    infer_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_inference(
        output_fn, encoder_state, dec_embeddings, start_of_sequence_id, end_of_sequence_id, 
        maximum_length, vocab_size)
    inference_logits, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(dec_cell, 
                                                                    infer_decoder_fn, scope=decoding_scope)
    return inference_logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_infer(decoding_layer_infer)

Tests Passed

构建解码层级

实现 decoding_layer() 以创建解码器 RNN 层级。

  • 使用 rnn_size 和 num_layers 创建解码 RNN 单元。
  • 使用 lambda 创建输出函数，将输入，也就是分对数转换为类分对数（class logits）。
  • 使用 decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope, output_fn, keep_prob) 函数获取训练分对数。
  • 使用 decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id, maximum_length, vocab_size, decoding_scope, output_fn, keep_prob) 函数获取推论分对数。

注意：你将需要使用 tf.variable_scope 在训练和推论分对数间分享变量。

In [12]:
def decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size,
                   num_layers, target_vocab_to_int, keep_prob):
    """
    Create decoding layer
    :param dec_embed_input: Decoder embedded input
    :param dec_embeddings: Decoder embeddings
    :param encoder_state: The encoded state
    :param vocab_size: Size of vocabulary
    :param sequence_length: Sequence Length
    :param rnn_size: RNN Size
    :param num_layers: Number of layers
    :param target_vocab_to_int: Dictionary to go from the target words to an id
    :param keep_prob: Dropout keep probability
    :return: Tuple of (Training Logits, Inference Logits)
    """
    # TODO: Implement Function
    cell=tf.contrib.rnn.BasicLSTMCell(rnn_size)
    keep_prob_cell=tf.contrib.rnn.DropoutWrapper(cell,output_keep_prob=keep_prob)
    dec_cell=tf.contrib.rnn.MultiRNNCell([keep_prob_cell] * num_layers)
    
    with tf.variable_scope("decoding") as decoding_scope:
        output_fn = lambda x: tf.contrib.layers.fully_connected(x, vocab_size, None, scope=decoding_scope)
        train_logits=decoding_layer_train(encoder_state,dec_cell,dec_embed_input,sequence_length,decoding_scope,output_fn,keep_prob)
    
    with tf.variable_scope("decoding",reuse=True) as decoding_scope:    
        inference_logits=decoding_layer_infer(encoder_state,dec_cell,dec_embeddings,target_vocab_to_int['<GO>'],
                                             target_vocab_to_int['<EOS>'],sequence_length,vocab_size,decoding_scope,output_fn,keep_prob)
    return train_logits, inference_logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer(decoding_layer)

Tests Passed

构建神经网络

应用你在上方实现的函数，以：

  • 向编码器的输入数据应用嵌入。
  • 使用 encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob) 编码输入。
  • 使用 process_decoding_input(target_data, target_vocab_to_int, batch_size) 函数处理目标数据。
  • 向解码器的目标数据应用嵌入。
  • 使用 decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob) 解码编码的输入数据。
In [13]:
def seq2seq_model(input_data, target_data, keep_prob, batch_size, sequence_length, source_vocab_size, target_vocab_size,
                  enc_embedding_size, dec_embedding_size, rnn_size, num_layers, target_vocab_to_int):
    """
    Build the Sequence-to-Sequence part of the neural network
    :param input_data: Input placeholder
    :param target_data: Target placeholder
    :param keep_prob: Dropout keep probability placeholder
    :param batch_size: Batch Size
    :param sequence_length: Sequence Length
    :param source_vocab_size: Source vocabulary size
    :param target_vocab_size: Target vocabulary size
    :param enc_embedding_size: Decoder embedding size
    :param dec_embedding_size: Encoder embedding size
    :param rnn_size: RNN Size
    :param num_layers: Number of layers
    :param target_vocab_to_int: Dictionary to go from the target words to an id
    :return: Tuple of (Training Logits, Inference Logits)
    """
    # TODO: Implement Function
    enc_embed_inputs = tf.contrib.layers.embed_sequence(input_data, source_vocab_size, enc_embedding_size)
    enc_state=encoding_layer(enc_embed_inputs, rnn_size, num_layers, keep_prob)
    
    p_targets=process_decoding_input(target_data,target_vocab_to_int,batch_size)
    dec_embeddings = tf.Variable(tf.random_uniform([target_vocab_size, dec_embedding_size]))
    dec_embed_inputs = tf.nn.embedding_lookup(dec_embeddings, p_targets)
    train_logits, inference_logits=decoding_layer(dec_embed_inputs,dec_embeddings,enc_state,target_vocab_size,sequence_length,
                                                 rnn_size,num_layers,target_vocab_to_int,keep_prob)
    return (train_logits, inference_logits)


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_seq2seq_model(seq2seq_model)

Tests Passed

训练神经网络

超参数

调试以下参数：

  • 将 epochs 设为 epoch 次数。
  • 将 batch_size 设为批次大小。
  • 将 rnn_size 设为 RNN 的大小。
  • 将 num_layers 设为层级数量。
  • 将 encoding_embedding_size 设为编码器嵌入大小。
  • 将 decoding_embedding_size 设为解码器嵌入大小
  • 将 learning_rate 设为训练速率。
  • 将 keep_probability 设为丢弃保留率（Dropout keep probability）。
In [14]:
# Number of Epochs
epochs = 20
# Batch Size
batch_size = 512
# RNN Size
rnn_size = 128
# Number of Layers
num_layers = 2
# Embedding Size
encoding_embedding_size = 256
decoding_embedding_size = 256
# Learning Rate
learning_rate = 0.001
# Dropout Keep Probability
keep_probability = 0.5

构建图表

使用你实现的神经网络构建图表。

In [15]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
save_path = 'checkpoints/dev'
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
max_source_sentence_length = max([len(sentence) for sentence in source_int_text])

train_graph = tf.Graph()
with train_graph.as_default():
    input_data, targets, lr, keep_prob = model_inputs()
    sequence_length = tf.placeholder_with_default(max_source_sentence_length, None, name='sequence_length')
    input_shape = tf.shape(input_data)
    
    train_logits, inference_logits = seq2seq_model(
        tf.reverse(input_data, [-1]), targets, keep_prob, batch_size, sequence_length, len(source_vocab_to_int), len(target_vocab_to_int),
        encoding_embedding_size, decoding_embedding_size, rnn_size, num_layers, target_vocab_to_int)

    tf.identity(inference_logits, 'logits')
    with tf.name_scope("optimization"):
        # Loss function
        cost = tf.contrib.seq2seq.sequence_loss(
            train_logits,
            targets,
            tf.ones([input_shape[0], sequence_length]))

        # Optimizer
        optimizer = tf.train.AdamOptimizer(lr)

        # Gradient Clipping
        gradients = optimizer.compute_gradients(cost)
        capped_gradients = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gradients if grad is not None]
        train_op = optimizer.apply_gradients(capped_gradients)

训练

利用预处理的数据训练神经网络。如果很难获得低损失值，请访问我们的论坛，看看其他人是否遇到了相同的问题。

In [16]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import time

def get_accuracy(target, logits):
    """
    Calculate accuracy
    """
    max_seq = max(target.shape[1], logits.shape[1])
    if max_seq - target.shape[1]:
        target = np.pad(
            target,
            [(0,0),(0,max_seq - target.shape[1])],
            'constant')
    if max_seq - logits.shape[1]:
        logits = np.pad(
            logits,
            [(0,0),(0,max_seq - logits.shape[1]), (0,0)],
            'constant')

    return np.mean(np.equal(target, np.argmax(logits, 2)))

train_source = source_int_text[batch_size:]
train_target = target_int_text[batch_size:]

valid_source = helper.pad_sentence_batch(source_int_text[:batch_size])
valid_target = helper.pad_sentence_batch(target_int_text[:batch_size])

with tf.Session(graph=train_graph) as sess:
    sess.run(tf.global_variables_initializer())

    for epoch_i in range(epochs):
        for batch_i, (source_batch, target_batch) in enumerate(
                helper.batch_data(train_source, train_target, batch_size)):
            start_time = time.time()
            
            _, loss = sess.run(
                [train_op, cost],
                {input_data: source_batch,
                 targets: target_batch,
                 lr: learning_rate,
                 sequence_length: target_batch.shape[1],
                 keep_prob: keep_probability})
            
            batch_train_logits = sess.run(
                inference_logits,
                {input_data: source_batch, keep_prob: 1.0})
            batch_valid_logits = sess.run(
                inference_logits,
                {input_data: valid_source, keep_prob: 1.0})
                
            train_acc = get_accuracy(target_batch, batch_train_logits)
            valid_acc = get_accuracy(np.array(valid_target), batch_valid_logits)
            end_time = time.time()
            print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.3f}, Validation Accuracy: {:>6.3f}, Loss: {:>6.3f}'
                  .format(epoch_i, batch_i, len(source_int_text) // batch_size, train_acc, valid_acc, loss))

    # Save Model
    saver = tf.train.Saver()
    saver.save(sess, save_path)
    print('Model Trained and Saved')

Epoch   0 Batch    0/269 - Train Accuracy:  0.242, Validation Accuracy:  0.310, Loss:  5.915
Epoch   0 Batch    1/269 - Train Accuracy:  0.233, Validation Accuracy:  0.310, Loss:  5.755
Epoch   0 Batch    2/269 - Train Accuracy:  0.266, Validation Accuracy:  0.310, Loss:  5.584
Epoch   0 Batch    3/269 - Train Accuracy:  0.244, Validation Accuracy:  0.310, Loss:  5.458
Epoch   0 Batch    4/269 - Train Accuracy:  0.232, Validation Accuracy:  0.310, Loss:  5.310
Epoch   0 Batch    5/269 - Train Accuracy:  0.232, Validation Accuracy:  0.310, Loss:  5.136
Epoch   0 Batch    6/269 - Train Accuracy:  0.278, Validation Accuracy:  0.310, Loss:  4.833
Epoch   0 Batch    7/269 - Train Accuracy:  0.277, Validation Accuracy:  0.310, Loss:  4.667
Epoch   0 Batch    8/269 - Train Accuracy:  0.241, Validation Accuracy:  0.310, Loss:  4.667
Epoch   0 Batch    9/269 - Train Accuracy:  0.267, Validation Accuracy:  0.310, Loss:  4.447
Epoch   0 Batch   10/269 - Train Accuracy:  0.246, Validation Accuracy:  0.322, Loss:  4.512
Epoch   0 Batch   11/269 - Train Accuracy:  0.295, Validation Accuracy:  0.332, Loss:  4.277
Epoch   0 Batch   12/269 - Train Accuracy:  0.277, Validation Accuracy:  0.341, Loss:  4.312
Epoch   0 Batch   13/269 - Train Accuracy:  0.343, Validation Accuracy:  0.341, Loss:  3.916
Epoch   0 Batch   14/269 - Train Accuracy:  0.304, Validation Accuracy:  0.342, Loss:  4.028
Epoch   0 Batch   15/269 - Train Accuracy:  0.295, Validation Accuracy:  0.342, Loss:  4.004
Epoch   0 Batch   16/269 - Train Accuracy:  0.312, Validation Accuracy:  0.343, Loss:  3.890
Epoch   0 Batch   17/269 - Train Accuracy:  0.302, Validation Accuracy:  0.343, Loss:  3.840
Epoch   0 Batch   18/269 - Train Accuracy:  0.271, Validation Accuracy:  0.343, Loss:  3.920
Epoch   0 Batch   19/269 - Train Accuracy:  0.341, Validation Accuracy:  0.343, Loss:  3.559
Epoch   0 Batch   20/269 - Train Accuracy:  0.275, Validation Accuracy:  0.343, Loss:  3.799
Epoch   0 Batch   21/269 - Train Accuracy:  0.276, Validation Accuracy:  0.343, Loss:  3.781
Epoch   0 Batch   22/269 - Train Accuracy:  0.315, Validation Accuracy:  0.343, Loss:  3.566
Epoch   0 Batch   23/269 - Train Accuracy:  0.326, Validation Accuracy:  0.343, Loss:  3.504
Epoch   0 Batch   24/269 - Train Accuracy:  0.275, Validation Accuracy:  0.345, Loss:  3.654
Epoch   0 Batch   25/269 - Train Accuracy:  0.282, Validation Accuracy:  0.347, Loss:  3.606
Epoch   0 Batch   26/269 - Train Accuracy:  0.351, Validation Accuracy:  0.351, Loss:  3.285
Epoch   0 Batch   27/269 - Train Accuracy:  0.316, Validation Accuracy:  0.351, Loss:  3.407
Epoch   0 Batch   28/269 - Train Accuracy:  0.278, Validation Accuracy:  0.358, Loss:  3.543
Epoch   0 Batch   29/269 - Train Accuracy:  0.297, Validation Accuracy:  0.364, Loss:  3.476
Epoch   0 Batch   30/269 - Train Accuracy:  0.327, Validation Accuracy:  0.367, Loss:  3.326
Epoch   0 Batch   31/269 - Train Accuracy:  0.339, Validation Accuracy:  0.368, Loss:  3.255
Epoch   0 Batch   32/269 - Train Accuracy:  0.333, Validation Accuracy:  0.372, Loss:  3.273
Epoch   0 Batch   33/269 - Train Accuracy:  0.342, Validation Accuracy:  0.372, Loss:  3.192
Epoch   0 Batch   34/269 - Train Accuracy:  0.363, Validation Accuracy:  0.392, Loss:  3.187
Epoch   0 Batch   35/269 - Train Accuracy:  0.358, Validation Accuracy:  0.389, Loss:  3.165
Epoch   0 Batch   36/269 - Train Accuracy:  0.354, Validation Accuracy:  0.384, Loss:  3.158
Epoch   0 Batch   37/269 - Train Accuracy:  0.353, Validation Accuracy:  0.382, Loss:  3.140
Epoch   0 Batch   38/269 - Train Accuracy:  0.350, Validation Accuracy:  0.382, Loss:  3.111
Epoch   0 Batch   39/269 - Train Accuracy:  0.347, Validation Accuracy:  0.382, Loss:  3.101
Epoch   0 Batch   40/269 - Train Accuracy:  0.319, Validation Accuracy:  0.382, Loss:  3.209
Epoch   0 Batch   41/269 - Train Accuracy:  0.349, Validation Accuracy:  0.383, Loss:  3.073
Epoch   0 Batch   42/269 - Train Accuracy:  0.381, Validation Accuracy:  0.384, Loss:  2.922
Epoch   0 Batch   43/269 - Train Accuracy:  0.337, Validation Accuracy:  0.392, Loss:  3.128
Epoch   0 Batch   44/269 - Train Accuracy:  0.369, Validation Accuracy:  0.395, Loss:  2.998
Epoch   0 Batch   45/269 - Train Accuracy:  0.337, Validation Accuracy:  0.397, Loss:  3.131
Epoch   0 Batch   46/269 - Train Accuracy:  0.329, Validation Accuracy:  0.398, Loss:  3.145
Epoch   0 Batch   47/269 - Train Accuracy:  0.401, Validation Accuracy:  0.403, Loss:  2.822
Epoch   0 Batch   48/269 - Train Accuracy:  0.371, Validation Accuracy:  0.400, Loss:  2.922
Epoch   0 Batch   49/269 - Train Accuracy:  0.347, Validation Accuracy:  0.403, Loss:  3.060
Epoch   0 Batch   50/269 - Train Accuracy:  0.355, Validation Accuracy:  0.408, Loss:  3.042
Epoch   0 Batch   51/269 - Train Accuracy:  0.374, Validation Accuracy:  0.411, Loss:  2.936
Epoch   0 Batch   52/269 - Train Accuracy:  0.384, Validation Accuracy:  0.411, Loss:  2.873
Epoch   0 Batch   53/269 - Train Accuracy:  0.362, Validation Accuracy:  0.419, Loss:  2.998
Epoch   0 Batch   54/269 - Train Accuracy:  0.368, Validation Accuracy:  0.426, Loss:  2.999
Epoch   0 Batch   55/269 - Train Accuracy:  0.397, Validation Accuracy:  0.429, Loss:  2.859
Epoch   0 Batch   56/269 - Train Accuracy:  0.408, Validation Accuracy:  0.432, Loss:  2.829
Epoch   0 Batch   57/269 - Train Accuracy:  0.399, Validation Accuracy:  0.427, Loss:  2.827
Epoch   0 Batch   58/269 - Train Accuracy:  0.411, Validation Accuracy:  0.436, Loss:  2.828
Epoch   0 Batch   59/269 - Train Accuracy:  0.409, Validation Accuracy:  0.436, Loss:  2.797
Epoch   0 Batch   60/269 - Train Accuracy:  0.421, Validation Accuracy:  0.442, Loss:  2.717
Epoch   0 Batch   61/269 - Train Accuracy:  0.442, Validation Accuracy:  0.444, Loss:  2.658
Epoch   0 Batch   62/269 - Train Accuracy:  0.431, Validation Accuracy:  0.431, Loss:  2.668
Epoch   0 Batch   63/269 - Train Accuracy:  0.416, Validation Accuracy:  0.445, Loss:  2.763
Epoch   0 Batch   64/269 - Train Accuracy:  0.413, Validation Accuracy:  0.446, Loss:  2.759
Epoch   0 Batch   65/269 - Train Accuracy:  0.411, Validation Accuracy:  0.438, Loss:  2.732
Epoch   0 Batch   66/269 - Train Accuracy:  0.435, Validation Accuracy:  0.442, Loss:  2.650
Epoch   0 Batch   67/269 - Train Accuracy:  0.419, Validation Accuracy:  0.453, Loss:  2.739
Epoch   0 Batch   68/269 - Train Accuracy:  0.423, Validation Accuracy:  0.452, Loss:  2.717
Epoch   0 Batch   69/269 - Train Accuracy:  0.385, Validation Accuracy:  0.446, Loss:  2.860
Epoch   0 Batch   70/269 - Train Accuracy:  0.437, Validation Accuracy:  0.459, Loss:  2.663
Epoch   0 Batch   71/269 - Train Accuracy:  0.404, Validation Accuracy:  0.457, Loss:  2.818
Epoch   0 Batch   72/269 - Train Accuracy:  0.441, Validation Accuracy:  0.451, Loss:  2.581
Epoch   0 Batch   73/269 - Train Accuracy:  0.432, Validation Accuracy:  0.454, Loss:  2.668
Epoch   0 Batch   74/269 - Train Accuracy:  0.410, Validation Accuracy:  0.459, Loss:  2.747
Epoch   0 Batch   75/269 - Train Accuracy:  0.425, Validation Accuracy:  0.449, Loss:  2.644
Epoch   0 Batch   76/269 - Train Accuracy:  0.408, Validation Accuracy:  0.447, Loss:  2.687
Epoch   0 Batch   77/269 - Train Accuracy:  0.445, Validation Accuracy:  0.464, Loss:  2.630
Epoch   0 Batch   78/269 - Train Accuracy:  0.435, Validation Accuracy:  0.460, Loss:  2.653
Epoch   0 Batch   79/269 - Train Accuracy:  0.424, Validation Accuracy:  0.451, Loss:  2.624
Epoch   0 Batch   80/269 - Train Accuracy:  0.446, Validation Accuracy:  0.464, Loss:  2.561
Epoch   0 Batch   81/269 - Train Accuracy:  0.437, Validation Accuracy:  0.467, Loss:  2.605
Epoch   0 Batch   82/269 - Train Accuracy:  0.447, Validation Accuracy:  0.459, Loss:  2.544
Epoch   0 Batch   83/269 - Train Accuracy:  0.448, Validation Accuracy:  0.466, Loss:  2.540
Epoch   0 Batch   84/269 - Train Accuracy:  0.443, Validation Accuracy:  0.470, Loss:  2.559
Epoch   0 Batch   85/269 - Train Accuracy:  0.426, Validation Accuracy:  0.466, Loss:  2.579
Epoch   0 Batch   86/269 - Train Accuracy:  0.432, Validation Accuracy:  0.465, Loss:  2.569
Epoch   0 Batch   87/269 - Train Accuracy:  0.407, Validation Accuracy:  0.472, Loss:  2.722
Epoch   0 Batch   88/269 - Train Accuracy:  0.455, Validation Accuracy:  0.474, Loss:  2.539
Epoch   0 Batch   89/269 - Train Accuracy:  0.435, Validation Accuracy:  0.462, Loss:  2.510
Epoch   0 Batch   90/269 - Train Accuracy:  0.413, Validation Accuracy:  0.473, Loss:  2.676
Epoch   0 Batch   91/269 - Train Accuracy:  0.457, Validation Accuracy:  0.480, Loss:  2.504
Epoch   0 Batch   92/269 - Train Accuracy:  0.449, Validation Accuracy:  0.478, Loss:  2.495
Epoch   0 Batch   93/269 - Train Accuracy:  0.470, Validation Accuracy:  0.473, Loss:  2.408
Epoch   0 Batch   94/269 - Train Accuracy:  0.465, Validation Accuracy:  0.485, Loss:  2.497
Epoch   0 Batch   95/269 - Train Accuracy:  0.465, Validation Accuracy:  0.487, Loss:  2.482
Epoch   0 Batch   96/269 - Train Accuracy:  0.457, Validation Accuracy:  0.483, Loss:  2.473
Epoch   0 Batch   97/269 - Train Accuracy:  0.462, Validation Accuracy:  0.485, Loss:  2.456
Epoch   0 Batch   98/269 - Train Accuracy:  0.477, Validation Accuracy:  0.487, Loss:  2.412
Epoch   0 Batch   99/269 - Train Accuracy:  0.433, Validation Accuracy:  0.485, Loss:  2.581
Epoch   0 Batch  100/269 - Train Accuracy:  0.484, Validation Accuracy:  0.488, Loss:  2.375
Epoch   0 Batch  101/269 - Train Accuracy:  0.433, Validation Accuracy:  0.489, Loss:  2.546
Epoch   0 Batch  102/269 - Train Accuracy:  0.458, Validation Accuracy:  0.484, Loss:  2.425
Epoch   0 Batch  103/269 - Train Accuracy:  0.466, Validation Accuracy:  0.488, Loss:  2.400
Epoch   0 Batch  104/269 - Train Accuracy:  0.456, Validation Accuracy:  0.488, Loss:  2.414
Epoch   0 Batch  105/269 - Train Accuracy:  0.456, Validation Accuracy:  0.489, Loss:  2.416
Epoch   0 Batch  106/269 - Train Accuracy:  0.458, Validation Accuracy:  0.489, Loss:  2.407
Epoch   0 Batch  107/269 - Train Accuracy:  0.431, Validation Accuracy:  0.492, Loss:  2.528
Epoch   0 Batch  108/269 - Train Accuracy:  0.465, Validation Accuracy:  0.494, Loss:  2.387
Epoch   0 Batch  109/269 - Train Accuracy:  0.459, Validation Accuracy:  0.499, Loss:  2.376
Epoch   0 Batch  110/269 - Train Accuracy:  0.470, Validation Accuracy:  0.496, Loss:  2.367
Epoch   0 Batch  111/269 - Train Accuracy:  0.432, Validation Accuracy:  0.490, Loss:  2.499
Epoch   0 Batch  112/269 - Train Accuracy:  0.463, Validation Accuracy:  0.490, Loss:  2.335
Epoch   0 Batch  113/269 - Train Accuracy:  0.488, Validation Accuracy:  0.494, Loss:  2.241
Epoch   0 Batch  114/269 - Train Accuracy:  0.449, Validation Accuracy:  0.483, Loss:  2.330
Epoch   0 Batch  115/269 - Train Accuracy:  0.437, Validation Accuracy:  0.492, Loss:  2.429
Epoch   0 Batch  116/269 - Train Accuracy:  0.479, Validation Accuracy:  0.499, Loss:  2.316
Epoch   0 Batch  117/269 - Train Accuracy:  0.458, Validation Accuracy:  0.490, Loss:  2.320
Epoch   0 Batch  118/269 - Train Accuracy:  0.478, Validation Accuracy:  0.491, Loss:  2.244
Epoch   0 Batch  119/269 - Train Accuracy:  0.456, Validation Accuracy:  0.496, Loss:  2.383
Epoch   0 Batch  120/269 - Train Accuracy:  0.437, Validation Accuracy:  0.494, Loss:  2.395
Epoch   0 Batch  121/269 - Train Accuracy:  0.463, Validation Accuracy:  0.491, Loss:  2.277
Epoch   0 Batch  122/269 - Train Accuracy:  0.474, Validation Accuracy:  0.495, Loss:  2.242
Epoch   0 Batch  123/269 - Train Accuracy:  0.438, Validation Accuracy:  0.498, Loss:  2.389
Epoch   0 Batch  124/269 - Train Accuracy:  0.472, Validation Accuracy:  0.498, Loss:  2.248
Epoch   0 Batch  125/269 - Train Accuracy:  0.464, Validation Accuracy:  0.494, Loss:  2.222
Epoch   0 Batch  126/269 - Train Accuracy:  0.481, Validation Accuracy:  0.498, Loss:  2.202
Epoch   0 Batch  127/269 - Train Accuracy:  0.444, Validation Accuracy:  0.494, Loss:  2.336
Epoch   0 Batch  128/269 - Train Accuracy:  0.475, Validation Accuracy:  0.492, Loss:  2.198
Epoch   0 Batch  129/269 - Train Accuracy:  0.474, Validation Accuracy:  0.504, Loss:  2.235
Epoch   0 Batch  130/269 - Train Accuracy:  0.440, Validation Accuracy:  0.500, Loss:  2.359
Epoch   0 Batch  131/269 - Train Accuracy:  0.440, Validation Accuracy:  0.488, Loss:  2.291
Epoch   0 Batch  132/269 - Train Accuracy:  0.462, Validation Accuracy:  0.497, Loss:  2.208
Epoch   0 Batch  133/269 - Train Accuracy:  0.472, Validation Accuracy:  0.500, Loss:  2.176
Epoch   0 Batch  134/269 - Train Accuracy:  0.422, Validation Accuracy:  0.479, Loss:  2.263
Epoch   0 Batch  135/269 - Train Accuracy:  0.418, Validation Accuracy:  0.484, Loss:  2.323
Epoch   0 Batch  136/269 - Train Accuracy:  0.436, Validation Accuracy:  0.495, Loss:  2.278
Epoch   0 Batch  137/269 - Train Accuracy:  0.426, Validation Accuracy:  0.479, Loss:  2.265
Epoch   0 Batch  138/269 - Train Accuracy:  0.438, Validation Accuracy:  0.487, Loss:  2.196
Epoch   0 Batch  139/269 - Train Accuracy:  0.475, Validation Accuracy:  0.496, Loss:  2.112
Epoch   0 Batch  140/269 - Train Accuracy:  0.461, Validation Accuracy:  0.488, Loss:  2.127
Epoch   0 Batch  141/269 - Train Accuracy:  0.448, Validation Accuracy:  0.487, Loss:  2.166
Epoch   0 Batch  142/269 - Train Accuracy:  0.470, Validation Accuracy:  0.491, Loss:  2.093
Epoch   0 Batch  143/269 - Train Accuracy:  0.459, Validation Accuracy:  0.487, Loss:  2.118
Epoch   0 Batch  144/269 - Train Accuracy:  0.456, Validation Accuracy:  0.485, Loss:  2.087
Epoch   0 Batch  145/269 - Train Accuracy:  0.459, Validation Accuracy:  0.493, Loss:  2.092
Epoch   0 Batch  146/269 - Train Accuracy:  0.462, Validation Accuracy:  0.487, Loss:  2.065
Epoch   0 Batch  147/269 - Train Accuracy:  0.477, Validation Accuracy:  0.478, Loss:  1.985
Epoch   0 Batch  148/269 - Train Accuracy:  0.442, Validation Accuracy:  0.482, Loss:  2.110
Epoch   0 Batch  149/269 - Train Accuracy:  0.457, Validation Accuracy:  0.482, Loss:  2.045
Epoch   0 Batch  150/269 - Train Accuracy:  0.452, Validation Accuracy:  0.482, Loss:  2.046
Epoch   0 Batch  151/269 - Train Accuracy:  0.483, Validation Accuracy:  0.482, Loss:  1.951
Epoch   0 Batch  152/269 - Train Accuracy:  0.452, Validation Accuracy:  0.486, Loss:  2.033
Epoch   0 Batch  153/269 - Train Accuracy:  0.460, Validation Accuracy:  0.488, Loss:  2.019
Epoch   0 Batch  154/269 - Train Accuracy:  0.420, Validation Accuracy:  0.486, Loss:  2.144
Epoch   0 Batch  155/269 - Train Accuracy:  0.480, Validation Accuracy:  0.484, Loss:  1.894
Epoch   0 Batch  156/269 - Train Accuracy:  0.448, Validation Accuracy:  0.488, Loss:  2.054
Epoch   0 Batch  157/269 - Train Accuracy:  0.457, Validation Accuracy:  0.486, Loss:  1.994
Epoch   0 Batch  158/269 - Train Accuracy:  0.454, Validation Accuracy:  0.479, Loss:  1.965
Epoch   0 Batch  159/269 - Train Accuracy:  0.464, Validation Accuracy:  0.491, Loss:  1.982
Epoch   0 Batch  160/269 - Train Accuracy:  0.468, Validation Accuracy:  0.490, Loss:  1.982
Epoch   0 Batch  161/269 - Train Accuracy:  0.445, Validation Accuracy:  0.480, Loss:  1.983
Epoch   0 Batch  162/269 - Train Accuracy:  0.450, Validation Accuracy:  0.479, Loss:  1.939
Epoch   0 Batch  163/269 - Train Accuracy:  0.467, Validation Accuracy:  0.491, Loss:  1.939
Epoch   0 Batch  164/269 - Train Accuracy:  0.475, Validation Accuracy:  0.502, Loss:  1.921
Epoch   0 Batch  165/269 - Train Accuracy:  0.430, Validation Accuracy:  0.491, Loss:  2.006
Epoch   0 Batch  166/269 - Train Accuracy:  0.483, Validation Accuracy:  0.481, Loss:  1.799
Epoch   0 Batch  167/269 - Train Accuracy:  0.482, Validation Accuracy:  0.504, Loss:  1.896
Epoch   0 Batch  168/269 - Train Accuracy:  0.477, Validation Accuracy:  0.504, Loss:  1.907
Epoch   0 Batch  169/269 - Train Accuracy:  0.456, Validation Accuracy:  0.491, Loss:  1.891
Epoch   0 Batch  170/269 - Train Accuracy:  0.473, Validation Accuracy:  0.497, Loss:  1.879
Epoch   0 Batch  171/269 - Train Accuracy:  0.466, Validation Accuracy:  0.512, Loss:  1.937
Epoch   0 Batch  172/269 - Train Accuracy:  0.488, Validation Accuracy:  0.518, Loss:  1.874
Epoch   0 Batch  173/269 - Train Accuracy:  0.473, Validation Accuracy:  0.504, Loss:  1.846
Epoch   0 Batch  174/269 - Train Accuracy:  0.477, Validation Accuracy:  0.509, Loss:  1.859
Epoch   0 Batch  175/269 - Train Accuracy:  0.487, Validation Accuracy:  0.512, Loss:  1.856
Epoch   0 Batch  176/269 - Train Accuracy:  0.459, Validation Accuracy:  0.509, Loss:  1.911
Epoch   0 Batch  177/269 - Train Accuracy:  0.500, Validation Accuracy:  0.506, Loss:  1.778
Epoch   0 Batch  178/269 - Train Accuracy:  0.470, Validation Accuracy:  0.510, Loss:  1.877
Epoch   0 Batch  179/269 - Train Accuracy:  0.490, Validation Accuracy:  0.511, Loss:  1.799
Epoch   0 Batch  180/269 - Train Accuracy:  0.487, Validation Accuracy:  0.514, Loss:  1.784
Epoch   0 Batch  181/269 - Train Accuracy:  0.479, Validation Accuracy:  0.506, Loss:  1.773
Epoch   0 Batch  182/269 - Train Accuracy:  0.492, Validation Accuracy:  0.508, Loss:  1.781
Epoch   0 Batch  183/269 - Train Accuracy:  0.556, Validation Accuracy:  0.513, Loss:  1.541
Epoch   0 Batch  184/269 - Train Accuracy:  0.464, Validation Accuracy:  0.508, Loss:  1.834
Epoch   0 Batch  185/269 - Train Accuracy:  0.495, Validation Accuracy:  0.504, Loss:  1.723
Epoch   0 Batch  186/269 - Train Accuracy:  0.453, Validation Accuracy:  0.502, Loss:  1.823
Epoch   0 Batch  187/269 - Train Accuracy:  0.496, Validation Accuracy:  0.514, Loss:  1.699
Epoch   0 Batch  188/269 - Train Accuracy:  0.506, Validation Accuracy:  0.512, Loss:  1.675
Epoch   0 Batch  189/269 - Train Accuracy:  0.486, Validation Accuracy:  0.501, Loss:  1.699
Epoch   0 Batch  190/269 - Train Accuracy:  0.484, Validation Accuracy:  0.508, Loss:  1.692
Epoch   0 Batch  191/269 - Train Accuracy:  0.492, Validation Accuracy:  0.512, Loss:  1.701
Epoch   0 Batch  192/269 - Train Accuracy:  0.488, Validation Accuracy:  0.509, Loss:  1.706
Epoch   0 Batch  193/269 - Train Accuracy:  0.481, Validation Accuracy:  0.507, Loss:  1.693
Epoch   0 Batch  194/269 - Train Accuracy:  0.488, Validation Accuracy:  0.509, Loss:  1.679
Epoch   0 Batch  195/269 - Train Accuracy:  0.474, Validation Accuracy:  0.510, Loss:  1.705
Epoch   0 Batch  196/269 - Train Accuracy:  0.482, Validation Accuracy:  0.509, Loss:  1.660
Epoch   0 Batch  197/269 - Train Accuracy:  0.443, Validation Accuracy:  0.502, Loss:  1.734
Epoch   0 Batch  198/269 - Train Accuracy:  0.444, Validation Accuracy:  0.500, Loss:  1.763
Epoch   0 Batch  199/269 - Train Accuracy:  0.473, Validation Accuracy:  0.505, Loss:  1.681
Epoch   0 Batch  200/269 - Train Accuracy:  0.470, Validation Accuracy:  0.503, Loss:  1.683
Epoch   0 Batch  201/269 - Train Accuracy:  0.481, Validation Accuracy:  0.498, Loss:  1.629
Epoch   0 Batch  202/269 - Train Accuracy:  0.463, Validation Accuracy:  0.498, Loss:  1.637
Epoch   0 Batch  203/269 - Train Accuracy:  0.455, Validation Accuracy:  0.507, Loss:  1.683
Epoch   0 Batch  204/269 - Train Accuracy:  0.450, Validation Accuracy:  0.505, Loss:  1.672
Epoch   0 Batch  205/269 - Train Accuracy:  0.463, Validation Accuracy:  0.498, Loss:  1.593
Epoch   0 Batch  206/269 - Train Accuracy:  0.438, Validation Accuracy:  0.494, Loss:  1.687
Epoch   0 Batch  207/269 - Train Accuracy:  0.491, Validation Accuracy:  0.499, Loss:  1.523
Epoch   0 Batch  208/269 - Train Accuracy:  0.456, Validation Accuracy:  0.508, Loss:  1.675
Epoch   0 Batch  209/269 - Train Accuracy:  0.458, Validation Accuracy:  0.505, Loss:  1.635
Epoch   0 Batch  210/269 - Train Accuracy:  0.471, Validation Accuracy:  0.496, Loss:  1.539
Epoch   0 Batch  211/269 - Train Accuracy:  0.465, Validation Accuracy:  0.499, Loss:  1.551
Epoch   0 Batch  212/269 - Train Accuracy:  0.488, Validation Accuracy:  0.499, Loss:  1.506
Epoch   0 Batch  213/269 - Train Accuracy:  0.468, Validation Accuracy:  0.492, Loss:  1.519
Epoch   0 Batch  214/269 - Train Accuracy:  0.479, Validation Accuracy:  0.495, Loss:  1.514
Epoch   0 Batch  215/269 - Train Accuracy:  0.503, Validation Accuracy:  0.493, Loss:  1.434
Epoch   0 Batch  216/269 - Train Accuracy:  0.444, Validation Accuracy:  0.500, Loss:  1.628
Epoch   0 Batch  217/269 - Train Accuracy:  0.458, Validation Accuracy:  0.510, Loss:  1.590
Epoch   0 Batch  218/269 - Train Accuracy:  0.463, Validation Accuracy:  0.509, Loss:  1.572
Epoch   0 Batch  219/269 - Train Accuracy:  0.459, Validation Accuracy:  0.499, Loss:  1.548
Epoch   0 Batch  220/269 - Train Accuracy:  0.484, Validation Accuracy:  0.495, Loss:  1.441
Epoch   0 Batch  221/269 - Train Accuracy:  0.485, Validation Accuracy:  0.500, Loss:  1.481
Epoch   0 Batch  222/269 - Train Accuracy:  0.489, Validation Accuracy:  0.501, Loss:  1.433
Epoch   0 Batch  223/269 - Train Accuracy:  0.481, Validation Accuracy:  0.502, Loss:  1.430
Epoch   0 Batch  224/269 - Train Accuracy:  0.478, Validation Accuracy:  0.498, Loss:  1.477
Epoch   0 Batch  225/269 - Train Accuracy:  0.446, Validation Accuracy:  0.492, Loss:  1.517
Epoch   0 Batch  226/269 - Train Accuracy:  0.458, Validation Accuracy:  0.488, Loss:  1.452
Epoch   0 Batch  227/269 - Train Accuracy:  0.530, Validation Accuracy:  0.481, Loss:  1.267
Epoch   0 Batch  228/269 - Train Accuracy:  0.452, Validation Accuracy:  0.482, Loss:  1.465
Epoch   0 Batch  229/269 - Train Accuracy:  0.463, Validation Accuracy:  0.481, Loss:  1.440
Epoch   0 Batch  230/269 - Train Accuracy:  0.456, Validation Accuracy:  0.488, Loss:  1.446
Epoch   0 Batch  231/269 - Train Accuracy:  0.439, Validation Accuracy:  0.484, Loss:  1.502
Epoch   0 Batch  232/269 - Train Accuracy:  0.416, Validation Accuracy:  0.477, Loss:  1.480
Epoch   0 Batch  233/269 - Train Accuracy:  0.453, Validation Accuracy:  0.476, Loss:  1.433
Epoch   0 Batch  234/269 - Train Accuracy:  0.467, Validation Accuracy:  0.487, Loss:  1.420
Epoch   0 Batch  235/269 - Train Accuracy:  0.484, Validation Accuracy:  0.501, Loss:  1.412
Epoch   0 Batch  236/269 - Train Accuracy:  0.477, Validation Accuracy:  0.502, Loss:  1.397
Epoch   0 Batch  237/269 - Train Accuracy:  0.471, Validation Accuracy:  0.490, Loss:  1.391
Epoch   0 Batch  238/269 - Train Accuracy:  0.471, Validation Accuracy:  0.483, Loss:  1.397
Epoch   0 Batch  239/269 - Train Accuracy:  0.461, Validation Accuracy:  0.484, Loss:  1.376
Epoch   0 Batch  240/269 - Train Accuracy:  0.512, Validation Accuracy:  0.491, Loss:  1.286
Epoch   0 Batch  241/269 - Train Accuracy:  0.477, Validation Accuracy:  0.497, Loss:  1.376
Epoch   0 Batch  242/269 - Train Accuracy:  0.480, Validation Accuracy:  0.502, Loss:  1.366
Epoch   0 Batch  243/269 - Train Accuracy:  0.492, Validation Accuracy:  0.502, Loss:  1.332
Epoch   0 Batch  244/269 - Train Accuracy:  0.482, Validation Accuracy:  0.504, Loss:  1.352
Epoch   0 Batch  245/269 - Train Accuracy:  0.469, Validation Accuracy:  0.511, Loss:  1.428
Epoch   0 Batch  246/269 - Train Accuracy:  0.485, Validation Accuracy:  0.512, Loss:  1.363
Epoch   0 Batch  247/269 - Train Accuracy:  0.458, Validation Accuracy:  0.497, Loss:  1.398
Epoch   0 Batch  248/269 - Train Accuracy:  0.462, Validation Accuracy:  0.485, Loss:  1.348
Epoch   0 Batch  249/269 - Train Accuracy:  0.490, Validation Accuracy:  0.481, Loss:  1.285
Epoch   0 Batch  250/269 - Train Accuracy:  0.443, Validation Accuracy:  0.489, Loss:  1.378
Epoch   0 Batch  251/269 - Train Accuracy:  0.482, Validation Accuracy:  0.495, Loss:  1.314
Epoch   0 Batch  252/269 - Train Accuracy:  0.475, Validation Accuracy:  0.498, Loss:  1.341
Epoch   0 Batch  253/269 - Train Accuracy:  0.472, Validation Accuracy:  0.496, Loss:  1.319
Epoch   0 Batch  254/269 - Train Accuracy:  0.485, Validation Accuracy:  0.500, Loss:  1.300
Epoch   0 Batch  255/269 - Train Accuracy:  0.515, Validation Accuracy:  0.508, Loss:  1.272
Epoch   0 Batch  256/269 - Train Accuracy:  0.485, Validation Accuracy:  0.514, Loss:  1.332
Epoch   0 Batch  257/269 - Train Accuracy:  0.487, Validation Accuracy:  0.513, Loss:  1.318
Epoch   0 Batch  258/269 - Train Accuracy:  0.505, Validation Accuracy:  0.523, Loss:  1.313
Epoch   0 Batch  259/269 - Train Accuracy:  0.532, Validation Accuracy:  0.527, Loss:  1.301
Epoch   0 Batch  260/269 - Train Accuracy:  0.488, Validation Accuracy:  0.517, Loss:  1.355
Epoch   0 Batch  261/269 - Train Accuracy:  0.451, Validation Accuracy:  0.504, Loss:  1.364
Epoch   0 Batch  262/269 - Train Accuracy:  0.488, Validation Accuracy:  0.493, Loss:  1.293
Epoch   0 Batch  263/269 - Train Accuracy:  0.473, Validation Accuracy:  0.499, Loss:  1.336
Epoch   0 Batch  264/269 - Train Accuracy:  0.467, Validation Accuracy:  0.517, Loss:  1.348
Epoch   0 Batch  265/269 - Train Accuracy:  0.482, Validation Accuracy:  0.524, Loss:  1.317
Epoch   0 Batch  266/269 - Train Accuracy:  0.507, Validation Accuracy:  0.509, Loss:  1.260
Epoch   0 Batch  267/269 - Train Accuracy:  0.479, Validation Accuracy:  0.497, Loss:  1.289
Epoch   1 Batch    0/269 - Train Accuracy:  0.465, Validation Accuracy:  0.499, Loss:  1.329
Epoch   1 Batch    1/269 - Train Accuracy:  0.467, Validation Accuracy:  0.501, Loss:  1.314
Epoch   1 Batch    2/269 - Train Accuracy:  0.475, Validation Accuracy:  0.501, Loss:  1.280
Epoch   1 Batch    3/269 - Train Accuracy:  0.482, Validation Accuracy:  0.502, Loss:  1.304
Epoch   1 Batch    4/269 - Train Accuracy:  0.452, Validation Accuracy:  0.491, Loss:  1.288
Epoch   1 Batch    5/269 - Train Accuracy:  0.446, Validation Accuracy:  0.488, Loss:  1.314
Epoch   1 Batch    6/269 - Train Accuracy:  0.491, Validation Accuracy:  0.490, Loss:  1.196
Epoch   1 Batch    7/269 - Train Accuracy:  0.490, Validation Accuracy:  0.498, Loss:  1.225
Epoch   1 Batch    8/269 - Train Accuracy:  0.481, Validation Accuracy:  0.504, Loss:  1.288
Epoch   1 Batch    9/269 - Train Accuracy:  0.488, Validation Accuracy:  0.499, Loss:  1.246
Epoch   1 Batch   10/269 - Train Accuracy:  0.469, Validation Accuracy:  0.494, Loss:  1.253
Epoch   1 Batch   11/269 - Train Accuracy:  0.471, Validation Accuracy:  0.490, Loss:  1.241
Epoch   1 Batch   12/269 - Train Accuracy:  0.455, Validation Accuracy:  0.490, Loss:  1.275
Epoch   1 Batch   13/269 - Train Accuracy:  0.509, Validation Accuracy:  0.490, Loss:  1.144
Epoch   1 Batch   14/269 - Train Accuracy:  0.486, Validation Accuracy:  0.489, Loss:  1.215
Epoch   1 Batch   15/269 - Train Accuracy:  0.471, Validation Accuracy:  0.483, Loss:  1.208
Epoch   1 Batch   16/269 - Train Accuracy:  0.480, Validation Accuracy:  0.482, Loss:  1.212
Epoch   1 Batch   17/269 - Train Accuracy:  0.465, Validation Accuracy:  0.483, Loss:  1.184
Epoch   1 Batch   18/269 - Train Accuracy:  0.454, Validation Accuracy:  0.490, Loss:  1.249
Epoch   1 Batch   19/269 - Train Accuracy:  0.511, Validation Accuracy:  0.494, Loss:  1.138
Epoch   1 Batch   20/269 - Train Accuracy:  0.469, Validation Accuracy:  0.492, Loss:  1.237
Epoch   1 Batch   21/269 - Train Accuracy:  0.457, Validation Accuracy:  0.490, Loss:  1.272
Epoch   1 Batch   22/269 - Train Accuracy:  0.481, Validation Accuracy:  0.491, Loss:  1.188
Epoch   1 Batch   23/269 - Train Accuracy:  0.496, Validation Accuracy:  0.492, Loss:  1.200
Epoch   1 Batch   24/269 - Train Accuracy:  0.465, Validation Accuracy:  0.495, Loss:  1.229
Epoch   1 Batch   25/269 - Train Accuracy:  0.478, Validation Accuracy:  0.505, Loss:  1.243
Epoch   1 Batch   26/269 - Train Accuracy:  0.532, Validation Accuracy:  0.510, Loss:  1.106
Epoch   1 Batch   27/269 - Train Accuracy:  0.492, Validation Accuracy:  0.511, Loss:  1.181
Epoch   1 Batch   28/269 - Train Accuracy:  0.466, Validation Accuracy:  0.519, Loss:  1.249
Epoch   1 Batch   29/269 - Train Accuracy:  0.486, Validation Accuracy:  0.521, Loss:  1.211
Epoch   1 Batch   30/269 - Train Accuracy:  0.516, Validation Accuracy:  0.521, Loss:  1.162
Epoch   1 Batch   31/269 - Train Accuracy:  0.527, Validation Accuracy:  0.521, Loss:  1.159
Epoch   1 Batch   32/269 - Train Accuracy:  0.505, Validation Accuracy:  0.522, Loss:  1.164
Epoch   1 Batch   33/269 - Train Accuracy:  0.526, Validation Accuracy:  0.522, Loss:  1.129
Epoch   1 Batch   34/269 - Train Accuracy:  0.505, Validation Accuracy:  0.518, Loss:  1.149
Epoch   1 Batch   35/269 - Train Accuracy:  0.513, Validation Accuracy:  0.519, Loss:  1.149
Epoch   1 Batch   36/269 - Train Accuracy:  0.508, Validation Accuracy:  0.520, Loss:  1.162
Epoch   1 Batch   37/269 - Train Accuracy:  0.508, Validation Accuracy:  0.520, Loss:  1.164
Epoch   1 Batch   38/269 - Train Accuracy:  0.492, Validation Accuracy:  0.516, Loss:  1.159
Epoch   1 Batch   39/269 - Train Accuracy:  0.509, Validation Accuracy:  0.521, Loss:  1.138
Epoch   1 Batch   40/269 - Train Accuracy:  0.487, Validation Accuracy:  0.524, Loss:  1.186
Epoch   1 Batch   41/269 - Train Accuracy:  0.509, Validation Accuracy:  0.524, Loss:  1.152
Epoch   1 Batch   42/269 - Train Accuracy:  0.533, Validation Accuracy:  0.524, Loss:  1.089
Epoch   1 Batch   43/269 - Train Accuracy:  0.495, Validation Accuracy:  0.524, Loss:  1.179
Epoch   1 Batch   44/269 - Train Accuracy:  0.516, Validation Accuracy:  0.522, Loss:  1.136
Epoch   1 Batch   45/269 - Train Accuracy:  0.490, Validation Accuracy:  0.522, Loss:  1.176
Epoch   1 Batch   46/269 - Train Accuracy:  0.501, Validation Accuracy:  0.526, Loss:  1.178
Epoch   1 Batch   47/269 - Train Accuracy:  0.552, Validation Accuracy:  0.525, Loss:  1.057
Epoch   1 Batch   48/269 - Train Accuracy:  0.515, Validation Accuracy:  0.518, Loss:  1.086
Epoch   1 Batch   49/269 - Train Accuracy:  0.479, Validation Accuracy:  0.520, Loss:  1.157
Epoch   1 Batch   50/269 - Train Accuracy:  0.486, Validation Accuracy:  0.519, Loss:  1.169
Epoch   1 Batch   51/269 - Train Accuracy:  0.495, Validation Accuracy:  0.518, Loss:  1.132
Epoch   1 Batch   52/269 - Train Accuracy:  0.495, Validation Accuracy:  0.517, Loss:  1.086
Epoch   1 Batch   53/269 - Train Accuracy:  0.483, Validation Accuracy:  0.516, Loss:  1.168
Epoch   1 Batch   54/269 - Train Accuracy:  0.490, Validation Accuracy:  0.518, Loss:  1.155
Epoch   1 Batch   55/269 - Train Accuracy:  0.508, Validation Accuracy:  0.522, Loss:  1.104
Epoch   1 Batch   56/269 - Train Accuracy:  0.521, Validation Accuracy:  0.524, Loss:  1.116
Epoch   1 Batch   57/269 - Train Accuracy:  0.508, Validation Accuracy:  0.521, Loss:  1.117
Epoch   1 Batch   58/269 - Train Accuracy:  0.510, Validation Accuracy:  0.517, Loss:  1.099
Epoch   1 Batch   59/269 - Train Accuracy:  0.503, Validation Accuracy:  0.518, Loss:  1.074
Epoch   1 Batch   60/269 - Train Accuracy:  0.507, Validation Accuracy:  0.521, Loss:  1.058
Epoch   1 Batch   61/269 - Train Accuracy:  0.533, Validation Accuracy:  0.524, Loss:  1.035
Epoch   1 Batch   62/269 - Train Accuracy:  0.539, Validation Accuracy:  0.521, Loss:  1.057
Epoch   1 Batch   63/269 - Train Accuracy:  0.491, Validation Accuracy:  0.515, Loss:  1.091
Epoch   1 Batch   64/269 - Train Accuracy:  0.494, Validation Accuracy:  0.515, Loss:  1.073
Epoch   1 Batch   65/269 - Train Accuracy:  0.492, Validation Accuracy:  0.518, Loss:  1.069
Epoch   1 Batch   66/269 - Train Accuracy:  0.522, Validation Accuracy:  0.523, Loss:  1.048
Epoch   1 Batch   67/269 - Train Accuracy:  0.500, Validation Accuracy:  0.523, Loss:  1.093
Epoch   1 Batch   68/269 - Train Accuracy:  0.498, Validation Accuracy:  0.521, Loss:  1.088
Epoch   1 Batch   69/269 - Train Accuracy:  0.471, Validation Accuracy:  0.517, Loss:  1.167
Epoch   1 Batch   70/269 - Train Accuracy:  0.505, Validation Accuracy:  0.514, Loss:  1.079
Epoch   1 Batch   71/269 - Train Accuracy:  0.475, Validation Accuracy:  0.516, Loss:  1.126
Epoch   1 Batch   72/269 - Train Accuracy:  0.511, Validation Accuracy:  0.517, Loss:  1.050
Epoch   1 Batch   73/269 - Train Accuracy:  0.506, Validation Accuracy:  0.518, Loss:  1.093
Epoch   1 Batch   74/269 - Train Accuracy:  0.497, Validation Accuracy:  0.516, Loss:  1.091
Epoch   1 Batch   75/269 - Train Accuracy:  0.492, Validation Accuracy:  0.514, Loss:  1.052
Epoch   1 Batch   76/269 - Train Accuracy:  0.487, Validation Accuracy:  0.519, Loss:  1.091
Epoch   1 Batch   77/269 - Train Accuracy:  0.518, Validation Accuracy:  0.521, Loss:  1.064
Epoch   1 Batch   78/269 - Train Accuracy:  0.502, Validation Accuracy:  0.525, Loss:  1.057
Epoch   1 Batch   79/269 - Train Accuracy:  0.513, Validation Accuracy:  0.524, Loss:  1.053
Epoch   1 Batch   80/269 - Train Accuracy:  0.518, Validation Accuracy:  0.520, Loss:  1.031
Epoch   1 Batch   81/269 - Train Accuracy:  0.499, Validation Accuracy:  0.515, Loss:  1.069
Epoch   1 Batch   82/269 - Train Accuracy:  0.508, Validation Accuracy:  0.516, Loss:  1.021
Epoch   1 Batch   83/269 - Train Accuracy:  0.522, Validation Accuracy:  0.517, Loss:  1.036
Epoch   1 Batch   84/269 - Train Accuracy:  0.507, Validation Accuracy:  0.519, Loss:  1.025
Epoch   1 Batch   85/269 - Train Accuracy:  0.502, Validation Accuracy:  0.519, Loss:  1.050
Epoch   1 Batch   86/269 - Train Accuracy:  0.489, Validation Accuracy:  0.520, Loss:  1.052
Epoch   1 Batch   87/269 - Train Accuracy:  0.471, Validation Accuracy:  0.520, Loss:  1.113
Epoch   1 Batch   88/269 - Train Accuracy:  0.501, Validation Accuracy:  0.521, Loss:  1.051
Epoch   1 Batch   89/269 - Train Accuracy:  0.504, Validation Accuracy:  0.521, Loss:  1.038
Epoch   1 Batch   90/269 - Train Accuracy:  0.468, Validation Accuracy:  0.523, Loss:  1.105
Epoch   1 Batch   91/269 - Train Accuracy:  0.492, Validation Accuracy:  0.524, Loss:  1.019
Epoch   1 Batch   92/269 - Train Accuracy:  0.500, Validation Accuracy:  0.521, Loss:  1.017
Epoch   1 Batch   93/269 - Train Accuracy:  0.519, Validation Accuracy:  0.521, Loss:  0.991
Epoch   1 Batch   94/269 - Train Accuracy:  0.515, Validation Accuracy:  0.529, Loss:  1.051
Epoch   1 Batch   95/269 - Train Accuracy:  0.520, Validation Accuracy:  0.526, Loss:  1.036
Epoch   1 Batch   96/269 - Train Accuracy:  0.513, Validation Accuracy:  0.525, Loss:  1.016
Epoch   1 Batch   97/269 - Train Accuracy:  0.514, Validation Accuracy:  0.526, Loss:  1.030
Epoch   1 Batch   98/269 - Train Accuracy:  0.541, Validation Accuracy:  0.523, Loss:  1.009
Epoch   1 Batch   99/269 - Train Accuracy:  0.491, Validation Accuracy:  0.527, Loss:  1.069
Epoch   1 Batch  100/269 - Train Accuracy:  0.532, Validation Accuracy:  0.527, Loss:  1.007
Epoch   1 Batch  101/269 - Train Accuracy:  0.491, Validation Accuracy:  0.527, Loss:  1.077
Epoch   1 Batch  102/269 - Train Accuracy:  0.515, Validation Accuracy:  0.528, Loss:  1.008
Epoch   1 Batch  103/269 - Train Accuracy:  0.510, Validation Accuracy:  0.529, Loss:  1.011
Epoch   1 Batch  104/269 - Train Accuracy:  0.521, Validation Accuracy:  0.536, Loss:  1.019
Epoch   1 Batch  105/269 - Train Accuracy:  0.525, Validation Accuracy:  0.539, Loss:  1.032
Epoch   1 Batch  106/269 - Train Accuracy:  0.515, Validation Accuracy:  0.540, Loss:  1.005
Epoch   1 Batch  107/269 - Train Accuracy:  0.491, Validation Accuracy:  0.542, Loss:  1.056
Epoch   1 Batch  108/269 - Train Accuracy:  0.532, Validation Accuracy:  0.545, Loss:  0.996
Epoch   1 Batch  109/269 - Train Accuracy:  0.523, Validation Accuracy:  0.551, Loss:  1.021
Epoch   1 Batch  110/269 - Train Accuracy:  0.536, Validation Accuracy:  0.549, Loss:  0.994
Epoch   1 Batch  111/269 - Train Accuracy:  0.509, Validation Accuracy:  0.547, Loss:  1.078
Epoch   1 Batch  112/269 - Train Accuracy:  0.534, Validation Accuracy:  0.542, Loss:  0.994
Epoch   1 Batch  113/269 - Train Accuracy:  0.543, Validation Accuracy:  0.541, Loss:  0.959
Epoch   1 Batch  114/269 - Train Accuracy:  0.518, Validation Accuracy:  0.544, Loss:  0.997
Epoch   1 Batch  115/269 - Train Accuracy:  0.519, Validation Accuracy:  0.549, Loss:  1.016
Epoch   1 Batch  116/269 - Train Accuracy:  0.547, Validation Accuracy:  0.551, Loss:  1.003
Epoch   1 Batch  117/269 - Train Accuracy:  0.531, Validation Accuracy:  0.552, Loss:  0.985
Epoch   1 Batch  118/269 - Train Accuracy:  0.558, Validation Accuracy:  0.553, Loss:  0.966
Epoch   1 Batch  119/269 - Train Accuracy:  0.522, Validation Accuracy:  0.549, Loss:  1.036
Epoch   1 Batch  120/269 - Train Accuracy:  0.514, Validation Accuracy:  0.549, Loss:  1.020
Epoch   1 Batch  121/269 - Train Accuracy:  0.532, Validation Accuracy:  0.550, Loss:  0.969
Epoch   1 Batch  122/269 - Train Accuracy:  0.541, Validation Accuracy:  0.546, Loss:  0.979
Epoch   1 Batch  123/269 - Train Accuracy:  0.505, Validation Accuracy:  0.538, Loss:  1.029
Epoch   1 Batch  124/269 - Train Accuracy:  0.530, Validation Accuracy:  0.547, Loss:  0.957
Epoch   1 Batch  125/269 - Train Accuracy:  0.536, Validation Accuracy:  0.549, Loss:  0.960
Epoch   1 Batch  126/269 - Train Accuracy:  0.541, Validation Accuracy:  0.547, Loss:  0.958
Epoch   1 Batch  127/269 - Train Accuracy:  0.510, Validation Accuracy:  0.547, Loss:  1.025
Epoch   1 Batch  128/269 - Train Accuracy:  0.543, Validation Accuracy:  0.541, Loss:  0.971
Epoch   1 Batch  129/269 - Train Accuracy:  0.506, Validation Accuracy:  0.545, Loss:  0.989
Epoch   1 Batch  130/269 - Train Accuracy:  0.506, Validation Accuracy:  0.551, Loss:  1.032
Epoch   1 Batch  131/269 - Train Accuracy:  0.517, Validation Accuracy:  0.552, Loss:  1.005
Epoch   1 Batch  132/269 - Train Accuracy:  0.538, Validation Accuracy:  0.554, Loss:  0.973
Epoch   1 Batch  133/269 - Train Accuracy:  0.538, Validation Accuracy:  0.552, Loss:  0.947
Epoch   1 Batch  134/269 - Train Accuracy:  0.492, Validation Accuracy:  0.546, Loss:  1.000
Epoch   1 Batch  135/269 - Train Accuracy:  0.493, Validation Accuracy:  0.547, Loss:  1.035
Epoch   1 Batch  136/269 - Train Accuracy:  0.500, Validation Accuracy:  0.552, Loss:  1.030
Epoch   1 Batch  137/269 - Train Accuracy:  0.525, Validation Accuracy:  0.553, Loss:  1.002
Epoch   1 Batch  138/269 - Train Accuracy:  0.529, Validation Accuracy:  0.555, Loss:  0.985
Epoch   1 Batch  139/269 - Train Accuracy:  0.558, Validation Accuracy:  0.560, Loss:  0.947
Epoch   1 Batch  140/269 - Train Accuracy:  0.548, Validation Accuracy:  0.558, Loss:  0.960
Epoch   1 Batch  141/269 - Train Accuracy:  0.544, Validation Accuracy:  0.558, Loss:  0.973
Epoch   1 Batch  142/269 - Train Accuracy:  0.550, Validation Accuracy:  0.560, Loss:  0.939
Epoch   1 Batch  143/269 - Train Accuracy:  0.548, Validation Accuracy:  0.558, Loss:  0.958
Epoch   1 Batch  144/269 - Train Accuracy:  0.542, Validation Accuracy:  0.557, Loss:  0.931
Epoch   1 Batch  145/269 - Train Accuracy:  0.536, Validation Accuracy:  0.557, Loss:  0.950
Epoch   1 Batch  146/269 - Train Accuracy:  0.545, Validation Accuracy:  0.554, Loss:  0.945
Epoch   1 Batch  147/269 - Train Accuracy:  0.566, Validation Accuracy:  0.555, Loss:  0.911
Epoch   1 Batch  148/269 - Train Accuracy:  0.524, Validation Accuracy:  0.553, Loss:  0.965
Epoch   1 Batch  149/269 - Train Accuracy:  0.551, Validation Accuracy:  0.551, Loss:  0.944
Epoch   1 Batch  150/269 - Train Accuracy:  0.540, Validation Accuracy:  0.556, Loss:  0.956
Epoch   1 Batch  151/269 - Train Accuracy:  0.578, Validation Accuracy:  0.557, Loss:  0.911
Epoch   1 Batch  152/269 - Train Accuracy:  0.544, Validation Accuracy:  0.560, Loss:  0.950
Epoch   1 Batch  153/269 - Train Accuracy:  0.545, Validation Accuracy:  0.558, Loss:  0.933
Epoch   1 Batch  154/269 - Train Accuracy:  0.515, Validation Accuracy:  0.560, Loss:  0.977
Epoch   1 Batch  155/269 - Train Accuracy:  0.573, Validation Accuracy:  0.560, Loss:  0.890
Epoch   1 Batch  156/269 - Train Accuracy:  0.532, Validation Accuracy:  0.561, Loss:  0.974
Epoch   1 Batch  157/269 - Train Accuracy:  0.545, Validation Accuracy:  0.564, Loss:  0.929
Epoch   1 Batch  158/269 - Train Accuracy:  0.557, Validation Accuracy:  0.562, Loss:  0.932
Epoch   1 Batch  159/269 - Train Accuracy:  0.557, Validation Accuracy:  0.564, Loss:  0.942
Epoch   1 Batch  160/269 - Train Accuracy:  0.546, Validation Accuracy:  0.563, Loss:  0.933
Epoch   1 Batch  161/269 - Train Accuracy:  0.547, Validation Accuracy:  0.562, Loss:  0.948
Epoch   1 Batch  162/269 - Train Accuracy:  0.544, Validation Accuracy:  0.562, Loss:  0.927
Epoch   1 Batch  163/269 - Train Accuracy:  0.555, Validation Accuracy:  0.563, Loss:  0.924
Epoch   1 Batch  164/269 - Train Accuracy:  0.550, Validation Accuracy:  0.558, Loss:  0.925
Epoch   1 Batch  165/269 - Train Accuracy:  0.524, Validation Accuracy:  0.557, Loss:  0.953
Epoch   1 Batch  166/269 - Train Accuracy:  0.571, Validation Accuracy:  0.558, Loss:  0.881
Epoch   1 Batch  167/269 - Train Accuracy:  0.554, Validation Accuracy:  0.560, Loss:  0.929
Epoch   1 Batch  168/269 - Train Accuracy:  0.534, Validation Accuracy:  0.560, Loss:  0.938
Epoch   1 Batch  169/269 - Train Accuracy:  0.537, Validation Accuracy:  0.560, Loss:  0.929
Epoch   1 Batch  170/269 - Train Accuracy:  0.541, Validation Accuracy:  0.559, Loss:  0.915
Epoch   1 Batch  171/269 - Train Accuracy:  0.532, Validation Accuracy:  0.555, Loss:  0.954
Epoch   1 Batch  172/269 - Train Accuracy:  0.537, Validation Accuracy:  0.555, Loss:  0.926
Epoch   1 Batch  173/269 - Train Accuracy:  0.541, Validation Accuracy:  0.557, Loss:  0.909
Epoch   1 Batch  174/269 - Train Accuracy:  0.539, Validation Accuracy:  0.553, Loss:  0.928
Epoch   1 Batch  175/269 - Train Accuracy:  0.538, Validation Accuracy:  0.557, Loss:  0.930
Epoch   1 Batch  176/269 - Train Accuracy:  0.532, Validation Accuracy:  0.561, Loss:  0.959
Epoch   1 Batch  177/269 - Train Accuracy:  0.554, Validation Accuracy:  0.563, Loss:  0.882
Epoch   1 Batch  178/269 - Train Accuracy:  0.529, Validation Accuracy:  0.561, Loss:  0.937
Epoch   1 Batch  179/269 - Train Accuracy:  0.554, Validation Accuracy:  0.559, Loss:  0.917
Epoch   1 Batch  180/269 - Train Accuracy:  0.545, Validation Accuracy:  0.557, Loss:  0.902
Epoch   1 Batch  181/269 - Train Accuracy:  0.544, Validation Accuracy:  0.559, Loss:  0.916
Epoch   1 Batch  182/269 - Train Accuracy:  0.551, Validation Accuracy:  0.561, Loss:  0.912
Epoch   1 Batch  183/269 - Train Accuracy:  0.613, Validation Accuracy:  0.560, Loss:  0.793
Epoch   1 Batch  184/269 - Train Accuracy:  0.527, Validation Accuracy:  0.555, Loss:  0.937
Epoch   1 Batch  185/269 - Train Accuracy:  0.561, Validation Accuracy:  0.556, Loss:  0.905
Epoch   1 Batch  186/269 - Train Accuracy:  0.525, Validation Accuracy:  0.561, Loss:  0.930
Epoch   1 Batch  187/269 - Train Accuracy:  0.558, Validation Accuracy:  0.561, Loss:  0.888
Epoch   1 Batch  188/269 - Train Accuracy:  0.569, Validation Accuracy:  0.559, Loss:  0.878
Epoch   1 Batch  189/269 - Train Accuracy:  0.560, Validation Accuracy:  0.560, Loss:  0.881
Epoch   1 Batch  190/269 - Train Accuracy:  0.545, Validation Accuracy:  0.557, Loss:  0.884
Epoch   1 Batch  191/269 - Train Accuracy:  0.551, Validation Accuracy:  0.556, Loss:  0.894
Epoch   1 Batch  192/269 - Train Accuracy:  0.543, Validation Accuracy:  0.554, Loss:  0.900
Epoch   1 Batch  193/269 - Train Accuracy:  0.547, Validation Accuracy:  0.557, Loss:  0.894
Epoch   1 Batch  194/269 - Train Accuracy:  0.557, Validation Accuracy:  0.561, Loss:  0.904
Epoch   1 Batch  195/269 - Train Accuracy:  0.534, Validation Accuracy:  0.562, Loss:  0.896
Epoch   1 Batch  196/269 - Train Accuracy:  0.547, Validation Accuracy:  0.562, Loss:  0.890
Epoch   1 Batch  197/269 - Train Accuracy:  0.521, Validation Accuracy:  0.557, Loss:  0.926
Epoch   1 Batch  198/269 - Train Accuracy:  0.516, Validation Accuracy:  0.559, Loss:  0.948
Epoch   1 Batch  199/269 - Train Accuracy:  0.534, Validation Accuracy:  0.558, Loss:  0.904
Epoch   1 Batch  200/269 - Train Accuracy:  0.535, Validation Accuracy:  0.563, Loss:  0.920
Epoch   1 Batch  201/269 - Train Accuracy:  0.542, Validation Accuracy:  0.566, Loss:  0.889
Epoch   1 Batch  202/269 - Train Accuracy:  0.551, Validation Accuracy:  0.568, Loss:  0.888
Epoch   1 Batch  203/269 - Train Accuracy:  0.524, Validation Accuracy:  0.563, Loss:  0.940
Epoch   1 Batch  204/269 - Train Accuracy:  0.536, Validation Accuracy:  0.564, Loss:  0.917
Epoch   1 Batch  205/269 - Train Accuracy:  0.533, Validation Accuracy:  0.563, Loss:  0.874
Epoch   1 Batch  206/269 - Train Accuracy:  0.528, Validation Accuracy:  0.564, Loss:  0.935
Epoch   1 Batch  207/269 - Train Accuracy:  0.568, Validation Accuracy:  0.561, Loss:  0.857
Epoch   1 Batch  208/269 - Train Accuracy:  0.521, Validation Accuracy:  0.560, Loss:  0.935
Epoch   1 Batch  209/269 - Train Accuracy:  0.531, Validation Accuracy:  0.563, Loss:  0.900
Epoch   1 Batch  210/269 - Train Accuracy:  0.560, Validation Accuracy:  0.564, Loss:  0.870
Epoch   1 Batch  211/269 - Train Accuracy:  0.553, Validation Accuracy:  0.565, Loss:  0.889
Epoch   1 Batch  212/269 - Train Accuracy:  0.578, Validation Accuracy:  0.567, Loss:  0.859
Epoch   1 Batch  213/269 - Train Accuracy:  0.564, Validation Accuracy:  0.566, Loss:  0.868
Epoch   1 Batch  214/269 - Train Accuracy:  0.552, Validation Accuracy:  0.563, Loss:  0.873
Epoch   1 Batch  215/269 - Train Accuracy:  0.575, Validation Accuracy:  0.560, Loss:  0.831
Epoch   1 Batch  216/269 - Train Accuracy:  0.517, Validation Accuracy:  0.558, Loss:  0.943
Epoch   1 Batch  217/269 - Train Accuracy:  0.517, Validation Accuracy:  0.563, Loss:  0.914
Epoch   1 Batch  218/269 - Train Accuracy:  0.543, Validation Accuracy:  0.567, Loss:  0.912
Epoch   1 Batch  219/269 - Train Accuracy:  0.545, Validation Accuracy:  0.567, Loss:  0.909
Epoch   1 Batch  220/269 - Train Accuracy:  0.552, Validation Accuracy:  0.562, Loss:  0.829
Epoch   1 Batch  221/269 - Train Accuracy:  0.568, Validation Accuracy:  0.564, Loss:  0.868
Epoch   1 Batch  222/269 - Train Accuracy:  0.568, Validation Accuracy:  0.567, Loss:  0.834
Epoch   1 Batch  223/269 - Train Accuracy:  0.563, Validation Accuracy:  0.570, Loss:  0.837
Epoch   1 Batch  224/269 - Train Accuracy:  0.565, Validation Accuracy:  0.574, Loss:  0.886
Epoch   1 Batch  225/269 - Train Accuracy:  0.547, Validation Accuracy:  0.576, Loss:  0.889
Epoch   1 Batch  226/269 - Train Accuracy:  0.552, Validation Accuracy:  0.578, Loss:  0.861
Epoch   1 Batch  227/269 - Train Accuracy:  0.615, Validation Accuracy:  0.574, Loss:  0.765
Epoch   1 Batch  228/269 - Train Accuracy:  0.546, Validation Accuracy:  0.571, Loss:  0.867
Epoch   1 Batch  229/269 - Train Accuracy:  0.556, Validation Accuracy:  0.568, Loss:  0.854
Epoch   1 Batch  230/269 - Train Accuracy:  0.554, Validation Accuracy:  0.568, Loss:  0.862
Epoch   1 Batch  231/269 - Train Accuracy:  0.527, Validation Accuracy:  0.567, Loss:  0.910
Epoch   1 Batch  232/269 - Train Accuracy:  0.522, Validation Accuracy:  0.566, Loss:  0.897
Epoch   1 Batch  233/269 - Train Accuracy:  0.560, Validation Accuracy:  0.571, Loss:  0.866
Epoch   1 Batch  234/269 - Train Accuracy:  0.561, Validation Accuracy:  0.569, Loss:  0.862
Epoch   1 Batch  235/269 - Train Accuracy:  0.556, Validation Accuracy:  0.570, Loss:  0.852
Epoch   1 Batch  236/269 - Train Accuracy:  0.543, Validation Accuracy:  0.568, Loss:  0.850
Epoch   1 Batch  237/269 - Train Accuracy:  0.548, Validation Accuracy:  0.570, Loss:  0.852
Epoch   1 Batch  238/269 - Train Accuracy:  0.564, Validation Accuracy:  0.574, Loss:  0.849
Epoch   1 Batch  239/269 - Train Accuracy:  0.575, Validation Accuracy:  0.574, Loss:  0.851
Epoch   1 Batch  240/269 - Train Accuracy:  0.591, Validation Accuracy:  0.575, Loss:  0.790
Epoch   1 Batch  241/269 - Train Accuracy:  0.565, Validation Accuracy:  0.578, Loss:  0.859
Epoch   1 Batch  242/269 - Train Accuracy:  0.555, Validation Accuracy:  0.582, Loss:  0.849
Epoch   1 Batch  243/269 - Train Accuracy:  0.590, Validation Accuracy:  0.581, Loss:  0.824
Epoch   1 Batch  244/269 - Train Accuracy:  0.560, Validation Accuracy:  0.578, Loss:  0.840
Epoch   1 Batch  245/269 - Train Accuracy:  0.553, Validation Accuracy:  0.576, Loss:  0.894
Epoch   1 Batch  246/269 - Train Accuracy:  0.554, Validation Accuracy:  0.575, Loss:  0.863
Epoch   1 Batch  247/269 - Train Accuracy:  0.542, Validation Accuracy:  0.575, Loss:  0.887
Epoch   1 Batch  248/269 - Train Accuracy:  0.563, Validation Accuracy:  0.576, Loss:  0.845
Epoch   1 Batch  249/269 - Train Accuracy:  0.581, Validation Accuracy:  0.570, Loss:  0.802
Epoch   1 Batch  250/269 - Train Accuracy:  0.539, Validation Accuracy:  0.571, Loss:  0.871
Epoch   1 Batch  251/269 - Train Accuracy:  0.568, Validation Accuracy:  0.571, Loss:  0.826
Epoch   1 Batch  252/269 - Train Accuracy:  0.562, Validation Accuracy:  0.574, Loss:  0.844
Epoch   1 Batch  253/269 - Train Accuracy:  0.561, Validation Accuracy:  0.577, Loss:  0.850
Epoch   1 Batch  254/269 - Train Accuracy:  0.574, Validation Accuracy:  0.574, Loss:  0.835
Epoch   1 Batch  255/269 - Train Accuracy:  0.595, Validation Accuracy:  0.576, Loss:  0.811
Epoch   1 Batch  256/269 - Train Accuracy:  0.551, Validation Accuracy:  0.579, Loss:  0.851
Epoch   1 Batch  257/269 - Train Accuracy:  0.559, Validation Accuracy:  0.576, Loss:  0.838
Epoch   1 Batch  258/269 - Train Accuracy:  0.561, Validation Accuracy:  0.577, Loss:  0.843
Epoch   1 Batch  259/269 - Train Accuracy:  0.580, Validation Accuracy:  0.576, Loss:  0.835
Epoch   1 Batch  260/269 - Train Accuracy:  0.557, Validation Accuracy:  0.576, Loss:  0.870
Epoch   1 Batch  261/269 - Train Accuracy:  0.524, Validation Accuracy:  0.576, Loss:  0.897
Epoch   1 Batch  262/269 - Train Accuracy:  0.572, Validation Accuracy:  0.577, Loss:  0.836
Epoch   1 Batch  263/269 - Train Accuracy:  0.559, Validation Accuracy:  0.575, Loss:  0.869
Epoch   1 Batch  264/269 - Train Accuracy:  0.545, Validation Accuracy:  0.574, Loss:  0.876
Epoch   1 Batch  265/269 - Train Accuracy:  0.556, Validation Accuracy:  0.576, Loss:  0.859
Epoch   1 Batch  266/269 - Train Accuracy:  0.572, Validation Accuracy:  0.577, Loss:  0.822
Epoch   1 Batch  267/269 - Train Accuracy:  0.559, Validation Accuracy:  0.576, Loss:  0.857
Epoch   2 Batch    0/269 - Train Accuracy:  0.557, Validation Accuracy:  0.577, Loss:  0.874
Epoch   2 Batch    1/269 - Train Accuracy:  0.533, Validation Accuracy:  0.577, Loss:  0.848
Epoch   2 Batch    2/269 - Train Accuracy:  0.537, Validation Accuracy:  0.574, Loss:  0.841
Epoch   2 Batch    3/269 - Train Accuracy:  0.558, Validation Accuracy:  0.580, Loss:  0.850
Epoch   2 Batch    4/269 - Train Accuracy:  0.549, Validation Accuracy:  0.582, Loss:  0.864
Epoch   2 Batch    5/269 - Train Accuracy:  0.544, Validation Accuracy:  0.583, Loss:  0.864
Epoch   2 Batch    6/269 - Train Accuracy:  0.572, Validation Accuracy:  0.583, Loss:  0.791
Epoch   2 Batch    7/269 - Train Accuracy:  0.572, Validation Accuracy:  0.583, Loss:  0.807
Epoch   2 Batch    8/269 - Train Accuracy:  0.552, Validation Accuracy:  0.583, Loss:  0.860
Epoch   2 Batch    9/269 - Train Accuracy:  0.559, Validation Accuracy:  0.581, Loss:  0.837
Epoch   2 Batch   10/269 - Train Accuracy:  0.549, Validation Accuracy:  0.581, Loss:  0.840
Epoch   2 Batch   11/269 - Train Accuracy:  0.565, Validation Accuracy:  0.584, Loss:  0.839
Epoch   2 Batch   12/269 - Train Accuracy:  0.542, Validation Accuracy:  0.581, Loss:  0.855
Epoch   2 Batch   13/269 - Train Accuracy:  0.595, Validation Accuracy:  0.579, Loss:  0.770
Epoch   2 Batch   14/269 - Train Accuracy:  0.567, Validation Accuracy:  0.577, Loss:  0.819
Epoch   2 Batch   15/269 - Train Accuracy:  0.559, Validation Accuracy:  0.581, Loss:  0.815
Epoch   2 Batch   16/269 - Train Accuracy:  0.581, Validation Accuracy:  0.585, Loss:  0.816
Epoch   2 Batch   17/269 - Train Accuracy:  0.570, Validation Accuracy:  0.586, Loss:  0.798
Epoch   2 Batch   18/269 - Train Accuracy:  0.550, Validation Accuracy:  0.589, Loss:  0.843
Epoch   2 Batch   19/269 - Train Accuracy:  0.594, Validation Accuracy:  0.579, Loss:  0.770
Epoch   2 Batch   20/269 - Train Accuracy:  0.559, Validation Accuracy:  0.576, Loss:  0.839
Epoch   2 Batch   21/269 - Train Accuracy:  0.558, Validation Accuracy:  0.574, Loss:  0.868
Epoch   2 Batch   22/269 - Train Accuracy:  0.574, Validation Accuracy:  0.577, Loss:  0.792
Epoch   2 Batch   23/269 - Train Accuracy:  0.581, Validation Accuracy:  0.578, Loss:  0.816
Epoch   2 Batch   24/269 - Train Accuracy:  0.562, Validation Accuracy:  0.580, Loss:  0.847
Epoch   2 Batch   25/269 - Train Accuracy:  0.557, Validation Accuracy:  0.580, Loss:  0.856
Epoch   2 Batch   26/269 - Train Accuracy:  0.607, Validation Accuracy:  0.580, Loss:  0.755
Epoch   2 Batch   27/269 - Train Accuracy:  0.569, Validation Accuracy:  0.580, Loss:  0.808
Epoch   2 Batch   28/269 - Train Accuracy:  0.547, Validation Accuracy:  0.586, Loss:  0.862
Epoch   2 Batch   29/269 - Train Accuracy:  0.565, Validation Accuracy:  0.591, Loss:  0.833
Epoch   2 Batch   30/269 - Train Accuracy:  0.579, Validation Accuracy:  0.591, Loss:  0.800
Epoch   2 Batch   31/269 - Train Accuracy:  0.583, Validation Accuracy:  0.589, Loss:  0.785
Epoch   2 Batch   32/269 - Train Accuracy:  0.563, Validation Accuracy:  0.580, Loss:  0.804
Epoch   2 Batch   33/269 - Train Accuracy:  0.581, Validation Accuracy:  0.579, Loss:  0.776
Epoch   2 Batch   34/269 - Train Accuracy:  0.574, Validation Accuracy:  0.579, Loss:  0.803
Epoch   2 Batch   35/269 - Train Accuracy:  0.593, Validation Accuracy:  0.582, Loss:  0.806
Epoch   2 Batch   36/269 - Train Accuracy:  0.570, Validation Accuracy:  0.580, Loss:  0.803
Epoch   2 Batch   37/269 - Train Accuracy:  0.570, Validation Accuracy:  0.579, Loss:  0.801
Epoch   2 Batch   38/269 - Train Accuracy:  0.568, Validation Accuracy:  0.577, Loss:  0.805
Epoch   2 Batch   39/269 - Train Accuracy:  0.575, Validation Accuracy:  0.577, Loss:  0.788
Epoch   2 Batch   40/269 - Train Accuracy:  0.558, Validation Accuracy:  0.577, Loss:  0.823
Epoch   2 Batch   41/269 - Train Accuracy:  0.575, Validation Accuracy:  0.578, Loss:  0.809
Epoch   2 Batch   42/269 - Train Accuracy:  0.590, Validation Accuracy:  0.580, Loss:  0.764
Epoch   2 Batch   43/269 - Train Accuracy:  0.557, Validation Accuracy:  0.582, Loss:  0.824
Epoch   2 Batch   44/269 - Train Accuracy:  0.586, Validation Accuracy:  0.579, Loss:  0.798
Epoch   2 Batch   45/269 - Train Accuracy:  0.559, Validation Accuracy:  0.578, Loss:  0.829
Epoch   2 Batch   46/269 - Train Accuracy:  0.553, Validation Accuracy:  0.578, Loss:  0.819
Epoch   2 Batch   47/269 - Train Accuracy:  0.603, Validation Accuracy:  0.577, Loss:  0.743
Epoch   2 Batch   48/269 - Train Accuracy:  0.579, Validation Accuracy:  0.583, Loss:  0.778
Epoch   2 Batch   49/269 - Train Accuracy:  0.557, Validation Accuracy:  0.585, Loss:  0.815
Epoch   2 Batch   50/269 - Train Accuracy:  0.560, Validation Accuracy:  0.587, Loss:  0.822
Epoch   2 Batch   51/269 - Train Accuracy:  0.560, Validation Accuracy:  0.580, Loss:  0.799
Epoch   2 Batch   52/269 - Train Accuracy:  0.561, Validation Accuracy:  0.578, Loss:  0.766
Epoch   2 Batch   53/269 - Train Accuracy:  0.556, Validation Accuracy:  0.579, Loss:  0.831
Epoch   2 Batch   54/269 - Train Accuracy:  0.567, Validation Accuracy:  0.577, Loss:  0.817
Epoch   2 Batch   55/269 - Train Accuracy:  0.581, Validation Accuracy:  0.580, Loss:  0.780
Epoch   2 Batch   56/269 - Train Accuracy:  0.589, Validation Accuracy:  0.580, Loss:  0.782
Epoch   2 Batch   57/269 - Train Accuracy:  0.586, Validation Accuracy:  0.583, Loss:  0.795
Epoch   2 Batch   58/269 - Train Accuracy:  0.591, Validation Accuracy:  0.585, Loss:  0.781
Epoch   2 Batch   59/269 - Train Accuracy:  0.601, Validation Accuracy:  0.586, Loss:  0.760
Epoch   2 Batch   60/269 - Train Accuracy:  0.596, Validation Accuracy:  0.586, Loss:  0.750
Epoch   2 Batch   61/269 - Train Accuracy:  0.601, Validation Accuracy:  0.588, Loss:  0.736
Epoch   2 Batch   62/269 - Train Accuracy:  0.600, Validation Accuracy:  0.589, Loss:  0.755
Epoch   2 Batch   63/269 - Train Accuracy:  0.582, Validation Accuracy:  0.588, Loss:  0.785
Epoch   2 Batch   64/269 - Train Accuracy:  0.572, Validation Accuracy:  0.581, Loss:  0.774
Epoch   2 Batch   65/269 - Train Accuracy:  0.577, Validation Accuracy:  0.580, Loss:  0.765
Epoch   2 Batch   66/269 - Train Accuracy:  0.590, Validation Accuracy:  0.586, Loss:  0.756
Epoch   2 Batch   67/269 - Train Accuracy:  0.577, Validation Accuracy:  0.587, Loss:  0.791
Epoch   2 Batch   68/269 - Train Accuracy:  0.578, Validation Accuracy:  0.583, Loss:  0.781
Epoch   2 Batch   69/269 - Train Accuracy:  0.565, Validation Accuracy:  0.586, Loss:  0.853
Epoch   2 Batch   70/269 - Train Accuracy:  0.604, Validation Accuracy:  0.589, Loss:  0.780
Epoch   2 Batch   71/269 - Train Accuracy:  0.575, Validation Accuracy:  0.591, Loss:  0.812
Epoch   2 Batch   72/269 - Train Accuracy:  0.595, Validation Accuracy:  0.588, Loss:  0.763
Epoch   2 Batch   73/269 - Train Accuracy:  0.586, Validation Accuracy:  0.587, Loss:  0.794
Epoch   2 Batch   74/269 - Train Accuracy:  0.572, Validation Accuracy:  0.585, Loss:  0.792
Epoch   2 Batch   75/269 - Train Accuracy:  0.582, Validation Accuracy:  0.587, Loss:  0.771
Epoch   2 Batch   76/269 - Train Accuracy:  0.563, Validation Accuracy:  0.585, Loss:  0.794
Epoch   2 Batch   77/269 - Train Accuracy:  0.603, Validation Accuracy:  0.584, Loss:  0.771
Epoch   2 Batch   78/269 - Train Accuracy:  0.586, Validation Accuracy:  0.588, Loss:  0.767
Epoch   2 Batch   79/269 - Train Accuracy:  0.589, Validation Accuracy:  0.585, Loss:  0.765
Epoch   2 Batch   80/269 - Train Accuracy:  0.600, Validation Accuracy:  0.589, Loss:  0.761
Epoch   2 Batch   81/269 - Train Accuracy:  0.602, Validation Accuracy:  0.590, Loss:  0.793
Epoch   2 Batch   82/269 - Train Accuracy:  0.600, Validation Accuracy:  0.592, Loss:  0.745
Epoch   2 Batch   83/269 - Train Accuracy:  0.604, Validation Accuracy:  0.591, Loss:  0.768
Epoch   2 Batch   84/269 - Train Accuracy:  0.597, Validation Accuracy:  0.592, Loss:  0.751
Epoch   2 Batch   85/269 - Train Accuracy:  0.582, Validation Accuracy:  0.592, Loss:  0.770
Epoch   2 Batch   86/269 - Train Accuracy:  0.555, Validation Accuracy:  0.589, Loss:  0.768
Epoch   2 Batch   87/269 - Train Accuracy:  0.558, Validation Accuracy:  0.590, Loss:  0.826
Epoch   2 Batch   88/269 - Train Accuracy:  0.572, Validation Accuracy:  0.590, Loss:  0.770
Epoch   2 Batch   89/269 - Train Accuracy:  0.599, Validation Accuracy:  0.591, Loss:  0.765
Epoch   2 Batch   90/269 - Train Accuracy:  0.548, Validation Accuracy:  0.592, Loss:  0.808
Epoch   2 Batch   91/269 - Train Accuracy:  0.584, Validation Accuracy:  0.594, Loss:  0.748
Epoch   2 Batch   92/269 - Train Accuracy:  0.593, Validation Accuracy:  0.593, Loss:  0.754
Epoch   2 Batch   93/269 - Train Accuracy:  0.604, Validation Accuracy:  0.593, Loss:  0.732
Epoch   2 Batch   94/269 - Train Accuracy:  0.605, Validation Accuracy:  0.596, Loss:  0.778
Epoch   2 Batch   95/269 - Train Accuracy:  0.594, Validation Accuracy:  0.599, Loss:  0.759
Epoch   2 Batch   96/269 - Train Accuracy:  0.594, Validation Accuracy:  0.598, Loss:  0.757
Epoch   2 Batch   97/269 - Train Accuracy:  0.591, Validation Accuracy:  0.598, Loss:  0.758
Epoch   2 Batch   98/269 - Train Accuracy:  0.601, Validation Accuracy:  0.594, Loss:  0.756
Epoch   2 Batch   99/269 - Train Accuracy:  0.572, Validation Accuracy:  0.590, Loss:  0.784
Epoch   2 Batch  100/269 - Train Accuracy:  0.604, Validation Accuracy:  0.591, Loss:  0.754
Epoch   2 Batch  101/269 - Train Accuracy:  0.557, Validation Accuracy:  0.590, Loss:  0.802
Epoch   2 Batch  102/269 - Train Accuracy:  0.587, Validation Accuracy:  0.594, Loss:  0.755
Epoch   2 Batch  103/269 - Train Accuracy:  0.590, Validation Accuracy:  0.594, Loss:  0.753
Epoch   2 Batch  104/269 - Train Accuracy:  0.590, Validation Accuracy:  0.594, Loss:  0.756
Epoch   2 Batch  105/269 - Train Accuracy:  0.591, Validation Accuracy:  0.597, Loss:  0.768
Epoch   2 Batch  106/269 - Train Accuracy:  0.585, Validation Accuracy:  0.599, Loss:  0.750
Epoch   2 Batch  107/269 - Train Accuracy:  0.560, Validation Accuracy:  0.597, Loss:  0.795
Epoch   2 Batch  108/269 - Train Accuracy:  0.589, Validation Accuracy:  0.592, Loss:  0.750
Epoch   2 Batch  109/269 - Train Accuracy:  0.571, Validation Accuracy:  0.596, Loss:  0.766
Epoch   2 Batch  110/269 - Train Accuracy:  0.584, Validation Accuracy:  0.593, Loss:  0.748
Epoch   2 Batch  111/269 - Train Accuracy:  0.572, Validation Accuracy:  0.591, Loss:  0.803
Epoch   2 Batch  112/269 - Train Accuracy:  0.595, Validation Accuracy:  0.589, Loss:  0.748
Epoch   2 Batch  113/269 - Train Accuracy:  0.593, Validation Accuracy:  0.589, Loss:  0.717
Epoch   2 Batch  114/269 - Train Accuracy:  0.581, Validation Accuracy:  0.589, Loss:  0.749
Epoch   2 Batch  115/269 - Train Accuracy:  0.575, Validation Accuracy:  0.589, Loss:  0.771
Epoch   2 Batch  116/269 - Train Accuracy:  0.592, Validation Accuracy:  0.587, Loss:  0.757
Epoch   2 Batch  117/269 - Train Accuracy:  0.593, Validation Accuracy:  0.589, Loss:  0.745
Epoch   2 Batch  118/269 - Train Accuracy:  0.618, Validation Accuracy:  0.592, Loss:  0.727
Epoch   2 Batch  119/269 - Train Accuracy:  0.581, Validation Accuracy:  0.596, Loss:  0.785
Epoch   2 Batch  120/269 - Train Accuracy:  0.581, Validation Accuracy:  0.595, Loss:  0.775
Epoch   2 Batch  121/269 - Train Accuracy:  0.597, Validation Accuracy:  0.598, Loss:  0.737
Epoch   2 Batch  122/269 - Train Accuracy:  0.601, Validation Accuracy:  0.598, Loss:  0.741
Epoch   2 Batch  123/269 - Train Accuracy:  0.579, Validation Accuracy:  0.597, Loss:  0.782
Epoch   2 Batch  124/269 - Train Accuracy:  0.591, Validation Accuracy:  0.602, Loss:  0.728
Epoch   2 Batch  125/269 - Train Accuracy:  0.601, Validation Accuracy:  0.603, Loss:  0.730
Epoch   2 Batch  126/269 - Train Accuracy:  0.609, Validation Accuracy:  0.604, Loss:  0.722
Epoch   2 Batch  127/269 - Train Accuracy:  0.602, Validation Accuracy:  0.607, Loss:  0.774
Epoch   2 Batch  128/269 - Train Accuracy:  0.621, Validation Accuracy:  0.607, Loss:  0.740
Epoch   2 Batch  129/269 - Train Accuracy:  0.595, Validation Accuracy:  0.603, Loss:  0.749
Epoch   2 Batch  130/269 - Train Accuracy:  0.564, Validation Accuracy:  0.603, Loss:  0.783
Epoch   2 Batch  131/269 - Train Accuracy:  0.583, Validation Accuracy:  0.602, Loss:  0.767
Epoch   2 Batch  132/269 - Train Accuracy:  0.596, Validation Accuracy:  0.601, Loss:  0.747
Epoch   2 Batch  133/269 - Train Accuracy:  0.602, Validation Accuracy:  0.601, Loss:  0.721
Epoch   2 Batch  134/269 - Train Accuracy:  0.581, Validation Accuracy:  0.603, Loss:  0.757
Epoch   2 Batch  135/269 - Train Accuracy:  0.575, Validation Accuracy:  0.608, Loss:  0.796
Epoch   2 Batch  136/269 - Train Accuracy:  0.581, Validation Accuracy:  0.600, Loss:  0.788
Epoch   2 Batch  137/269 - Train Accuracy:  0.592, Validation Accuracy:  0.594, Loss:  0.770
Epoch   2 Batch  138/269 - Train Accuracy:  0.591, Validation Accuracy:  0.594, Loss:  0.754
Epoch   2 Batch  139/269 - Train Accuracy:  0.609, Validation Accuracy:  0.593, Loss:  0.719
Epoch   2 Batch  140/269 - Train Accuracy:  0.604, Validation Accuracy:  0.594, Loss:  0.749
Epoch   2 Batch  141/269 - Train Accuracy:  0.583, Validation Accuracy:  0.603, Loss:  0.750
Epoch   2 Batch  142/269 - Train Accuracy:  0.592, Validation Accuracy:  0.594, Loss:  0.724
Epoch   2 Batch  143/269 - Train Accuracy:  0.598, Validation Accuracy:  0.591, Loss:  0.741
Epoch   2 Batch  144/269 - Train Accuracy:  0.601, Validation Accuracy:  0.596, Loss:  0.715
Epoch   2 Batch  145/269 - Train Accuracy:  0.604, Validation Accuracy:  0.596, Loss:  0.729
Epoch   2 Batch  146/269 - Train Accuracy:  0.600, Validation Accuracy:  0.595, Loss:  0.724
Epoch   2 Batch  147/269 - Train Accuracy:  0.622, Validation Accuracy:  0.596, Loss:  0.699
Epoch   2 Batch  148/269 - Train Accuracy:  0.601, Validation Accuracy:  0.599, Loss:  0.736
Epoch   2 Batch  149/269 - Train Accuracy:  0.607, Validation Accuracy:  0.608, Loss:  0.740
Epoch   2 Batch  150/269 - Train Accuracy:  0.605, Validation Accuracy:  0.610, Loss:  0.740
Epoch   2 Batch  151/269 - Train Accuracy:  0.633, Validation Accuracy:  0.605, Loss:  0.709
Epoch   2 Batch  152/269 - Train Accuracy:  0.599, Validation Accuracy:  0.604, Loss:  0.729
Epoch   2 Batch  153/269 - Train Accuracy:  0.601, Validation Accuracy:  0.603, Loss:  0.719
Epoch   2 Batch  154/269 - Train Accuracy:  0.585, Validation Accuracy:  0.604, Loss:  0.757
Epoch   2 Batch  155/269 - Train Accuracy:  0.632, Validation Accuracy:  0.606, Loss:  0.694
Epoch   2 Batch  156/269 - Train Accuracy:  0.593, Validation Accuracy:  0.604, Loss:  0.764
Epoch   2 Batch  157/269 - Train Accuracy:  0.594, Validation Accuracy:  0.606, Loss:  0.733
Epoch   2 Batch  158/269 - Train Accuracy:  0.607, Validation Accuracy:  0.605, Loss:  0.727
Epoch   2 Batch  159/269 - Train Accuracy:  0.602, Validation Accuracy:  0.605, Loss:  0.732
Epoch   2 Batch  160/269 - Train Accuracy:  0.598, Validation Accuracy:  0.609, Loss:  0.730
Epoch   2 Batch  161/269 - Train Accuracy:  0.595, Validation Accuracy:  0.615, Loss:  0.737
Epoch   2 Batch  162/269 - Train Accuracy:  0.609, Validation Accuracy:  0.616, Loss:  0.722
Epoch   2 Batch  163/269 - Train Accuracy:  0.613, Validation Accuracy:  0.614, Loss:  0.721
Epoch   2 Batch  164/269 - Train Accuracy:  0.616, Validation Accuracy:  0.612, Loss:  0.720
Epoch   2 Batch  165/269 - Train Accuracy:  0.582, Validation Accuracy:  0.612, Loss:  0.749
Epoch   2 Batch  166/269 - Train Accuracy:  0.621, Validation Accuracy:  0.612, Loss:  0.685
Epoch   2 Batch  167/269 - Train Accuracy:  0.600, Validation Accuracy:  0.607, Loss:  0.727
Epoch   2 Batch  168/269 - Train Accuracy:  0.600, Validation Accuracy:  0.609, Loss:  0.733
Epoch   2 Batch  169/269 - Train Accuracy:  0.590, Validation Accuracy:  0.608, Loss:  0.723
Epoch   2 Batch  170/269 - Train Accuracy:  0.597, Validation Accuracy:  0.605, Loss:  0.715
Epoch   2 Batch  171/269 - Train Accuracy:  0.597, Validation Accuracy:  0.603, Loss:  0.751
Epoch   2 Batch  172/269 - Train Accuracy:  0.603, Validation Accuracy:  0.605, Loss:  0.728
Epoch   2 Batch  173/269 - Train Accuracy:  0.613, Validation Accuracy:  0.604, Loss:  0.706
Epoch   2 Batch  174/269 - Train Accuracy:  0.586, Validation Accuracy:  0.606, Loss:  0.725
Epoch   2 Batch  175/269 - Train Accuracy:  0.609, Validation Accuracy:  0.616, Loss:  0.733
Epoch   2 Batch  176/269 - Train Accuracy:  0.598, Validation Accuracy:  0.614, Loss:  0.766
Epoch   2 Batch  177/269 - Train Accuracy:  0.618, Validation Accuracy:  0.615, Loss:  0.695
Epoch   2 Batch  178/269 - Train Accuracy:  0.599, Validation Accuracy:  0.615, Loss:  0.738
Epoch   2 Batch  179/269 - Train Accuracy:  0.608, Validation Accuracy:  0.614, Loss:  0.724
Epoch   2 Batch  180/269 - Train Accuracy:  0.608, Validation Accuracy:  0.608, Loss:  0.707
Epoch   2 Batch  181/269 - Train Accuracy:  0.598, Validation Accuracy:  0.605, Loss:  0.714
Epoch   2 Batch  182/269 - Train Accuracy:  0.611, Validation Accuracy:  0.611, Loss:  0.717
Epoch   2 Batch  183/269 - Train Accuracy:  0.667, Validation Accuracy:  0.615, Loss:  0.626
Epoch   2 Batch  184/269 - Train Accuracy:  0.601, Validation Accuracy:  0.618, Loss:  0.738
Epoch   2 Batch  185/269 - Train Accuracy:  0.621, Validation Accuracy:  0.618, Loss:  0.708
Epoch   2 Batch  186/269 - Train Accuracy:  0.591, Validation Accuracy:  0.618, Loss:  0.734
Epoch   2 Batch  187/269 - Train Accuracy:  0.613, Validation Accuracy:  0.619, Loss:  0.705
Epoch   2 Batch  188/269 - Train Accuracy:  0.623, Validation Accuracy:  0.621, Loss:  0.696
Epoch   2 Batch  189/269 - Train Accuracy:  0.618, Validation Accuracy:  0.618, Loss:  0.693
Epoch   2 Batch  190/269 - Train Accuracy:  0.608, Validation Accuracy:  0.618, Loss:  0.698
Epoch   2 Batch  191/269 - Train Accuracy:  0.626, Validation Accuracy:  0.615, Loss:  0.704
Epoch   2 Batch  192/269 - Train Accuracy:  0.614, Validation Accuracy:  0.615, Loss:  0.709
Epoch   2 Batch  193/269 - Train Accuracy:  0.606, Validation Accuracy:  0.616, Loss:  0.706
Epoch   2 Batch  194/269 - Train Accuracy:  0.614, Validation Accuracy:  0.615, Loss:  0.719
Epoch   2 Batch  195/269 - Train Accuracy:  0.606, Validation Accuracy:  0.618, Loss:  0.711
Epoch   2 Batch  196/269 - Train Accuracy:  0.604, Validation Accuracy:  0.618, Loss:  0.705
Epoch   2 Batch  197/269 - Train Accuracy:  0.596, Validation Accuracy:  0.620, Loss:  0.743
Epoch   2 Batch  198/269 - Train Accuracy:  0.583, Validation Accuracy:  0.613, Loss:  0.752
Epoch   2 Batch  199/269 - Train Accuracy:  0.596, Validation Accuracy:  0.610, Loss:  0.718
Epoch   2 Batch  200/269 - Train Accuracy:  0.603, Validation Accuracy:  0.617, Loss:  0.729
Epoch   2 Batch  201/269 - Train Accuracy:  0.605, Validation Accuracy:  0.620, Loss:  0.702
Epoch   2 Batch  202/269 - Train Accuracy:  0.610, Validation Accuracy:  0.621, Loss:  0.704
Epoch   2 Batch  203/269 - Train Accuracy:  0.591, Validation Accuracy:  0.620, Loss:  0.748
Epoch   2 Batch  204/269 - Train Accuracy:  0.594, Validation Accuracy:  0.619, Loss:  0.742
Epoch   2 Batch  205/269 - Train Accuracy:  0.597, Validation Accuracy:  0.618, Loss:  0.699
Epoch   2 Batch  206/269 - Train Accuracy:  0.601, Validation Accuracy:  0.619, Loss:  0.732
Epoch   2 Batch  207/269 - Train Accuracy:  0.631, Validation Accuracy:  0.619, Loss:  0.689
Epoch   2 Batch  208/269 - Train Accuracy:  0.590, Validation Accuracy:  0.619, Loss:  0.736
Epoch   2 Batch  209/269 - Train Accuracy:  0.603, Validation Accuracy:  0.619, Loss:  0.708
Epoch   2 Batch  210/269 - Train Accuracy:  0.609, Validation Accuracy:  0.619, Loss:  0.689
Epoch   2 Batch  211/269 - Train Accuracy:  0.615, Validation Accuracy:  0.619, Loss:  0.709
Epoch   2 Batch  212/269 - Train Accuracy:  0.628, Validation Accuracy:  0.619, Loss:  0.692
Epoch   2 Batch  213/269 - Train Accuracy:  0.623, Validation Accuracy:  0.620, Loss:  0.700
Epoch   2 Batch  214/269 - Train Accuracy:  0.623, Validation Accuracy:  0.620, Loss:  0.698
Epoch   2 Batch  215/269 - Train Accuracy:  0.644, Validation Accuracy:  0.619, Loss:  0.656
Epoch   2 Batch  216/269 - Train Accuracy:  0.592, Validation Accuracy:  0.621, Loss:  0.747
Epoch   2 Batch  217/269 - Train Accuracy:  0.583, Validation Accuracy:  0.623, Loss:  0.731
Epoch   2 Batch  218/269 - Train Accuracy:  0.601, Validation Accuracy:  0.622, Loss:  0.725
Epoch   2 Batch  219/269 - Train Accuracy:  0.610, Validation Accuracy:  0.621, Loss:  0.728
Epoch   2 Batch  220/269 - Train Accuracy:  0.625, Validation Accuracy:  0.622, Loss:  0.665
Epoch   2 Batch  221/269 - Train Accuracy:  0.640, Validation Accuracy:  0.620, Loss:  0.692
Epoch   2 Batch  222/269 - Train Accuracy:  0.636, Validation Accuracy:  0.620, Loss:  0.674
Epoch   2 Batch  223/269 - Train Accuracy:  0.612, Validation Accuracy:  0.618, Loss:  0.683
Epoch   2 Batch  224/269 - Train Accuracy:  0.624, Validation Accuracy:  0.621, Loss:  0.711
Epoch   2 Batch  225/269 - Train Accuracy:  0.602, Validation Accuracy:  0.620, Loss:  0.709
Epoch   2 Batch  226/269 - Train Accuracy:  0.607, Validation Accuracy:  0.622, Loss:  0.689
Epoch   2 Batch  227/269 - Train Accuracy:  0.666, Validation Accuracy:  0.623, Loss:  0.614
Epoch   2 Batch  228/269 - Train Accuracy:  0.608, Validation Accuracy:  0.624, Loss:  0.691
Epoch   2 Batch  229/269 - Train Accuracy:  0.615, Validation Accuracy:  0.623, Loss:  0.686
Epoch   2 Batch  230/269 - Train Accuracy:  0.613, Validation Accuracy:  0.624, Loss:  0.694
Epoch   2 Batch  231/269 - Train Accuracy:  0.597, Validation Accuracy:  0.629, Loss:  0.728
Epoch   2 Batch  232/269 - Train Accuracy:  0.573, Validation Accuracy:  0.628, Loss:  0.725
Epoch   2 Batch  233/269 - Train Accuracy:  0.619, Validation Accuracy:  0.625, Loss:  0.700
Epoch   2 Batch  234/269 - Train Accuracy:  0.619, Validation Accuracy:  0.625, Loss:  0.697
Epoch   2 Batch  235/269 - Train Accuracy:  0.623, Validation Accuracy:  0.625, Loss:  0.679
Epoch   2 Batch  236/269 - Train Accuracy:  0.605, Validation Accuracy:  0.625, Loss:  0.688
Epoch   2 Batch  237/269 - Train Accuracy:  0.600, Validation Accuracy:  0.625, Loss:  0.688
Epoch   2 Batch  238/269 - Train Accuracy:  0.628, Validation Accuracy:  0.626, Loss:  0.682
Epoch   2 Batch  239/269 - Train Accuracy:  0.630, Validation Accuracy:  0.624, Loss:  0.680
Epoch   2 Batch  240/269 - Train Accuracy:  0.639, Validation Accuracy:  0.626, Loss:  0.634
Epoch   2 Batch  241/269 - Train Accuracy:  0.626, Validation Accuracy:  0.629, Loss:  0.689
Epoch   2 Batch  242/269 - Train Accuracy:  0.614, Validation Accuracy:  0.632, Loss:  0.682
Epoch   2 Batch  243/269 - Train Accuracy:  0.646, Validation Accuracy:  0.632, Loss:  0.665
Epoch   2 Batch  244/269 - Train Accuracy:  0.624, Validation Accuracy:  0.631, Loss:  0.690
Epoch   2 Batch  245/269 - Train Accuracy:  0.609, Validation Accuracy:  0.629, Loss:  0.726
Epoch   2 Batch  246/269 - Train Accuracy:  0.610, Validation Accuracy:  0.631, Loss:  0.692
Epoch   2 Batch  247/269 - Train Accuracy:  0.621, Validation Accuracy:  0.630, Loss:  0.713
Epoch   2 Batch  248/269 - Train Accuracy:  0.624, Validation Accuracy:  0.628, Loss:  0.674
Epoch   2 Batch  249/269 - Train Accuracy:  0.645, Validation Accuracy:  0.624, Loss:  0.649
Epoch   2 Batch  250/269 - Train Accuracy:  0.603, Validation Accuracy:  0.625, Loss:  0.701
Epoch   2 Batch  251/269 - Train Accuracy:  0.643, Validation Accuracy:  0.627, Loss:  0.671
Epoch   2 Batch  252/269 - Train Accuracy:  0.623, Validation Accuracy:  0.627, Loss:  0.695
Epoch   2 Batch  253/269 - Train Accuracy:  0.609, Validation Accuracy:  0.627, Loss:  0.682
Epoch   2 Batch  254/269 - Train Accuracy:  0.619, Validation Accuracy:  0.627, Loss:  0.675
Epoch   2 Batch  255/269 - Train Accuracy:  0.648, Validation Accuracy:  0.629, Loss:  0.654
Epoch   2 Batch  256/269 - Train Accuracy:  0.609, Validation Accuracy:  0.627, Loss:  0.692
Epoch   2 Batch  257/269 - Train Accuracy:  0.611, Validation Accuracy:  0.630, Loss:  0.689
Epoch   2 Batch  258/269 - Train Accuracy:  0.619, Validation Accuracy:  0.632, Loss:  0.683
Epoch   2 Batch  259/269 - Train Accuracy:  0.641, Validation Accuracy:  0.634, Loss:  0.682
Epoch   2 Batch  260/269 - Train Accuracy:  0.606, Validation Accuracy:  0.636, Loss:  0.717
Epoch   2 Batch  261/269 - Train Accuracy:  0.599, Validation Accuracy:  0.633, Loss:  0.723
Epoch   2 Batch  262/269 - Train Accuracy:  0.633, Validation Accuracy:  0.633, Loss:  0.679
Epoch   2 Batch  263/269 - Train Accuracy:  0.624, Validation Accuracy:  0.631, Loss:  0.710
Epoch   2 Batch  264/269 - Train Accuracy:  0.605, Validation Accuracy:  0.630, Loss:  0.709
Epoch   2 Batch  265/269 - Train Accuracy:  0.607, Validation Accuracy:  0.628, Loss:  0.693
Epoch   2 Batch  266/269 - Train Accuracy:  0.633, Validation Accuracy:  0.627, Loss:  0.670
Epoch   2 Batch  267/269 - Train Accuracy:  0.629, Validation Accuracy:  0.626, Loss:  0.688
Epoch   3 Batch    0/269 - Train Accuracy:  0.608, Validation Accuracy:  0.627, Loss:  0.714
Epoch   3 Batch    1/269 - Train Accuracy:  0.610, Validation Accuracy:  0.628, Loss:  0.692
Epoch   3 Batch    2/269 - Train Accuracy:  0.605, Validation Accuracy:  0.628, Loss:  0.681
Epoch   3 Batch    3/269 - Train Accuracy:  0.618, Validation Accuracy:  0.628, Loss:  0.683
Epoch   3 Batch    4/269 - Train Accuracy:  0.602, Validation Accuracy:  0.628, Loss:  0.702
Epoch   3 Batch    5/269 - Train Accuracy:  0.599, Validation Accuracy:  0.628, Loss:  0.695
Epoch   3 Batch    6/269 - Train Accuracy:  0.627, Validation Accuracy:  0.628, Loss:  0.654
Epoch   3 Batch    7/269 - Train Accuracy:  0.625, Validation Accuracy:  0.629, Loss:  0.667
Epoch   3 Batch    8/269 - Train Accuracy:  0.617, Validation Accuracy:  0.629, Loss:  0.707
Epoch   3 Batch    9/269 - Train Accuracy:  0.614, Validation Accuracy:  0.633, Loss:  0.685
Epoch   3 Batch   10/269 - Train Accuracy:  0.616, Validation Accuracy:  0.633, Loss:  0.687
Epoch   3 Batch   11/269 - Train Accuracy:  0.615, Validation Accuracy:  0.633, Loss:  0.686
Epoch   3 Batch   12/269 - Train Accuracy:  0.595, Validation Accuracy:  0.632, Loss:  0.702
Epoch   3 Batch   13/269 - Train Accuracy:  0.649, Validation Accuracy:  0.632, Loss:  0.628
Epoch   3 Batch   14/269 - Train Accuracy:  0.626, Validation Accuracy:  0.633, Loss:  0.670
Epoch   3 Batch   15/269 - Train Accuracy:  0.614, Validation Accuracy:  0.633, Loss:  0.659
Epoch   3 Batch   16/269 - Train Accuracy:  0.631, Validation Accuracy:  0.634, Loss:  0.675
Epoch   3 Batch   17/269 - Train Accuracy:  0.626, Validation Accuracy:  0.636, Loss:  0.663
Epoch   3 Batch   18/269 - Train Accuracy:  0.609, Validation Accuracy:  0.635, Loss:  0.692
Epoch   3 Batch   19/269 - Train Accuracy:  0.649, Validation Accuracy:  0.633, Loss:  0.627
Epoch   3 Batch   20/269 - Train Accuracy:  0.620, Validation Accuracy:  0.632, Loss:  0.688
Epoch   3 Batch   21/269 - Train Accuracy:  0.617, Validation Accuracy:  0.633, Loss:  0.705
Epoch   3 Batch   22/269 - Train Accuracy:  0.636, Validation Accuracy:  0.636, Loss:  0.651
Epoch   3 Batch   23/269 - Train Accuracy:  0.635, Validation Accuracy:  0.636, Loss:  0.663
Epoch   3 Batch   24/269 - Train Accuracy:  0.621, Validation Accuracy:  0.635, Loss:  0.704
Epoch   3 Batch   25/269 - Train Accuracy:  0.610, Validation Accuracy:  0.633, Loss:  0.713
Epoch   3 Batch   26/269 - Train Accuracy:  0.646, Validation Accuracy:  0.632, Loss:  0.623
Epoch   3 Batch   27/269 - Train Accuracy:  0.612, Validation Accuracy:  0.628, Loss:  0.654
Epoch   3 Batch   28/269 - Train Accuracy:  0.585, Validation Accuracy:  0.629, Loss:  0.711
Epoch   3 Batch   29/269 - Train Accuracy:  0.622, Validation Accuracy:  0.628, Loss:  0.690
Epoch   3 Batch   30/269 - Train Accuracy:  0.632, Validation Accuracy:  0.628, Loss:  0.660
Epoch   3 Batch   31/269 - Train Accuracy:  0.631, Validation Accuracy:  0.629, Loss:  0.651
Epoch   3 Batch   32/269 - Train Accuracy:  0.625, Validation Accuracy:  0.629, Loss:  0.659
Epoch   3 Batch   33/269 - Train Accuracy:  0.646, Validation Accuracy:  0.628, Loss:  0.644
Epoch   3 Batch   34/269 - Train Accuracy:  0.634, Validation Accuracy:  0.626, Loss:  0.662
Epoch   3 Batch   35/269 - Train Accuracy:  0.633, Validation Accuracy:  0.630, Loss:  0.671
Epoch   3 Batch   36/269 - Train Accuracy:  0.622, Validation Accuracy:  0.630, Loss:  0.665
Epoch   3 Batch   37/269 - Train Accuracy:  0.634, Validation Accuracy:  0.632, Loss:  0.655
Epoch   3 Batch   38/269 - Train Accuracy:  0.631, Validation Accuracy:  0.633, Loss:  0.658
Epoch   3 Batch   39/269 - Train Accuracy:  0.629, Validation Accuracy:  0.633, Loss:  0.651
Epoch   3 Batch   40/269 - Train Accuracy:  0.612, Validation Accuracy:  0.635, Loss:  0.688
Epoch   3 Batch   41/269 - Train Accuracy:  0.623, Validation Accuracy:  0.634, Loss:  0.676
Epoch   3 Batch   42/269 - Train Accuracy:  0.649, Validation Accuracy:  0.634, Loss:  0.632
Epoch   3 Batch   43/269 - Train Accuracy:  0.615, Validation Accuracy:  0.634, Loss:  0.684
Epoch   3 Batch   44/269 - Train Accuracy:  0.632, Validation Accuracy:  0.634, Loss:  0.661
Epoch   3 Batch   45/269 - Train Accuracy:  0.616, Validation Accuracy:  0.635, Loss:  0.684
Epoch   3 Batch   46/269 - Train Accuracy:  0.619, Validation Accuracy:  0.629, Loss:  0.683
Epoch   3 Batch   47/269 - Train Accuracy:  0.657, Validation Accuracy:  0.629, Loss:  0.614
Epoch   3 Batch   48/269 - Train Accuracy:  0.626, Validation Accuracy:  0.628, Loss:  0.638
Epoch   3 Batch   49/269 - Train Accuracy:  0.602, Validation Accuracy:  0.626, Loss:  0.670
Epoch   3 Batch   50/269 - Train Accuracy:  0.609, Validation Accuracy:  0.625, Loss:  0.685
Epoch   3 Batch   51/269 - Train Accuracy:  0.612, Validation Accuracy:  0.623, Loss:  0.655
Epoch   3 Batch   52/269 - Train Accuracy:  0.615, Validation Accuracy:  0.625, Loss:  0.631
Epoch   3 Batch   53/269 - Train Accuracy:  0.609, Validation Accuracy:  0.625, Loss:  0.688
Epoch   3 Batch   54/269 - Train Accuracy:  0.620, Validation Accuracy:  0.625, Loss:  0.670
Epoch   3 Batch   55/269 - Train Accuracy:  0.636, Validation Accuracy:  0.624, Loss:  0.641
Epoch   3 Batch   56/269 - Train Accuracy:  0.647, Validation Accuracy:  0.626, Loss:  0.652
Epoch   3 Batch   57/269 - Train Accuracy:  0.629, Validation Accuracy:  0.627, Loss:  0.658
Epoch   3 Batch   58/269 - Train Accuracy:  0.637, Validation Accuracy:  0.629, Loss:  0.649
Epoch   3 Batch   59/269 - Train Accuracy:  0.645, Validation Accuracy:  0.628, Loss:  0.625
Epoch   3 Batch   60/269 - Train Accuracy:  0.634, Validation Accuracy:  0.627, Loss:  0.623
Epoch   3 Batch   61/269 - Train Accuracy:  0.647, Validation Accuracy:  0.628, Loss:  0.605
Epoch   3 Batch   62/269 - Train Accuracy:  0.654, Validation Accuracy:  0.631, Loss:  0.626
Epoch   3 Batch   63/269 - Train Accuracy:  0.621, Validation Accuracy:  0.632, Loss:  0.650
Epoch   3 Batch   64/269 - Train Accuracy:  0.624, Validation Accuracy:  0.631, Loss:  0.640
Epoch   3 Batch   65/269 - Train Accuracy:  0.619, Validation Accuracy:  0.633, Loss:  0.636
Epoch   3 Batch   66/269 - Train Accuracy:  0.641, Validation Accuracy:  0.630, Loss:  0.627
Epoch   3 Batch   67/269 - Train Accuracy:  0.625, Validation Accuracy:  0.630, Loss:  0.651
Epoch   3 Batch   68/269 - Train Accuracy:  0.611, Validation Accuracy:  0.632, Loss:  0.648
Epoch   3 Batch   69/269 - Train Accuracy:  0.603, Validation Accuracy:  0.630, Loss:  0.701
Epoch   3 Batch   70/269 - Train Accuracy:  0.635, Validation Accuracy:  0.630, Loss:  0.650
Epoch   3 Batch   71/269 - Train Accuracy:  0.619, Validation Accuracy:  0.634, Loss:  0.675
Epoch   3 Batch   72/269 - Train Accuracy:  0.627, Validation Accuracy:  0.633, Loss:  0.637
Epoch   3 Batch   73/269 - Train Accuracy:  0.628, Validation Accuracy:  0.633, Loss:  0.653
Epoch   3 Batch   74/269 - Train Accuracy:  0.631, Validation Accuracy:  0.631, Loss:  0.662
Epoch   3 Batch   75/269 - Train Accuracy:  0.626, Validation Accuracy:  0.629, Loss:  0.630
Epoch   3 Batch   76/269 - Train Accuracy:  0.618, Validation Accuracy:  0.630, Loss:  0.648
Epoch   3 Batch   77/269 - Train Accuracy:  0.652, Validation Accuracy:  0.632, Loss:  0.634
Epoch   3 Batch   78/269 - Train Accuracy:  0.635, Validation Accuracy:  0.633, Loss:  0.638
Epoch   3 Batch   79/269 - Train Accuracy:  0.630, Validation Accuracy:  0.634, Loss:  0.630
Epoch   3 Batch   80/269 - Train Accuracy:  0.635, Validation Accuracy:  0.634, Loss:  0.637
Epoch   3 Batch   81/269 - Train Accuracy:  0.649, Validation Accuracy:  0.634, Loss:  0.650
Epoch   3 Batch   82/269 - Train Accuracy:  0.642, Validation Accuracy:  0.634, Loss:  0.620
Epoch   3 Batch   83/269 - Train Accuracy:  0.637, Validation Accuracy:  0.633, Loss:  0.642
Epoch   3 Batch   84/269 - Train Accuracy:  0.633, Validation Accuracy:  0.632, Loss:  0.621
Epoch   3 Batch   85/269 - Train Accuracy:  0.624, Validation Accuracy:  0.634, Loss:  0.634
Epoch   3 Batch   86/269 - Train Accuracy:  0.617, Validation Accuracy:  0.639, Loss:  0.635
Epoch   3 Batch   87/269 - Train Accuracy:  0.613, Validation Accuracy:  0.637, Loss:  0.680
Epoch   3 Batch   88/269 - Train Accuracy:  0.630, Validation Accuracy:  0.635, Loss:  0.639
Epoch   3 Batch   89/269 - Train Accuracy:  0.635, Validation Accuracy:  0.638, Loss:  0.639
Epoch   3 Batch   90/269 - Train Accuracy:  0.595, Validation Accuracy:  0.638, Loss:  0.674
Epoch   3 Batch   91/269 - Train Accuracy:  0.653, Validation Accuracy:  0.640, Loss:  0.621
Epoch   3 Batch   92/269 - Train Accuracy:  0.628, Validation Accuracy:  0.635, Loss:  0.626
Epoch   3 Batch   93/269 - Train Accuracy:  0.640, Validation Accuracy:  0.634, Loss:  0.606
Epoch   3 Batch   94/269 - Train Accuracy:  0.634, Validation Accuracy:  0.635, Loss:  0.648
Epoch   3 Batch   95/269 - Train Accuracy:  0.618, Validation Accuracy:  0.634, Loss:  0.632
Epoch   3 Batch   96/269 - Train Accuracy:  0.630, Validation Accuracy:  0.636, Loss:  0.627
Epoch   3 Batch   97/269 - Train Accuracy:  0.623, Validation Accuracy:  0.643, Loss:  0.624
Epoch   3 Batch   98/269 - Train Accuracy:  0.631, Validation Accuracy:  0.645, Loss:  0.635
Epoch   3 Batch   99/269 - Train Accuracy:  0.632, Validation Accuracy:  0.646, Loss:  0.656
Epoch   3 Batch  100/269 - Train Accuracy:  0.662, Validation Accuracy:  0.646, Loss:  0.625
Epoch   3 Batch  101/269 - Train Accuracy:  0.611, Validation Accuracy:  0.642, Loss:  0.666
Epoch   3 Batch  102/269 - Train Accuracy:  0.628, Validation Accuracy:  0.634, Loss:  0.633
Epoch   3 Batch  103/269 - Train Accuracy:  0.634, Validation Accuracy:  0.636, Loss:  0.623
Epoch   3 Batch  104/269 - Train Accuracy:  0.630, Validation Accuracy:  0.638, Loss:  0.622
Epoch   3 Batch  105/269 - Train Accuracy:  0.619, Validation Accuracy:  0.642, Loss:  0.634
Epoch   3 Batch  106/269 - Train Accuracy:  0.636, Validation Accuracy:  0.646, Loss:  0.618
Epoch   3 Batch  107/269 - Train Accuracy:  0.617, Validation Accuracy:  0.644, Loss:  0.665
Epoch   3 Batch  108/269 - Train Accuracy:  0.634, Validation Accuracy:  0.641, Loss:  0.629
Epoch   3 Batch  109/269 - Train Accuracy:  0.617, Validation Accuracy:  0.639, Loss:  0.636
Epoch   3 Batch  110/269 - Train Accuracy:  0.629, Validation Accuracy:  0.639, Loss:  0.613
Epoch   3 Batch  111/269 - Train Accuracy:  0.620, Validation Accuracy:  0.641, Loss:  0.663
Epoch   3 Batch  112/269 - Train Accuracy:  0.642, Validation Accuracy:  0.641, Loss:  0.625
Epoch   3 Batch  113/269 - Train Accuracy:  0.642, Validation Accuracy:  0.640, Loss:  0.603
Epoch   3 Batch  114/269 - Train Accuracy:  0.641, Validation Accuracy:  0.640, Loss:  0.624
Epoch   3 Batch  115/269 - Train Accuracy:  0.623, Validation Accuracy:  0.641, Loss:  0.648
Epoch   3 Batch  116/269 - Train Accuracy:  0.634, Validation Accuracy:  0.636, Loss:  0.637
Epoch   3 Batch  117/269 - Train Accuracy:  0.638, Validation Accuracy:  0.637, Loss:  0.621
Epoch   3 Batch  118/269 - Train Accuracy:  0.654, Validation Accuracy:  0.640, Loss:  0.606
Epoch   3 Batch  119/269 - Train Accuracy:  0.637, Validation Accuracy:  0.644, Loss:  0.657
Epoch   3 Batch  120/269 - Train Accuracy:  0.635, Validation Accuracy:  0.643, Loss:  0.650
Epoch   3 Batch  121/269 - Train Accuracy:  0.632, Validation Accuracy:  0.643, Loss:  0.623
Epoch   3 Batch  122/269 - Train Accuracy:  0.641, Validation Accuracy:  0.644, Loss:  0.618
Epoch   3 Batch  123/269 - Train Accuracy:  0.624, Validation Accuracy:  0.642, Loss:  0.651
Epoch   3 Batch  124/269 - Train Accuracy:  0.630, Validation Accuracy:  0.641, Loss:  0.616
Epoch   3 Batch  125/269 - Train Accuracy:  0.651, Validation Accuracy:  0.642, Loss:  0.604
Epoch   3 Batch  126/269 - Train Accuracy:  0.641, Validation Accuracy:  0.643, Loss:  0.607
Epoch   3 Batch  127/269 - Train Accuracy:  0.614, Validation Accuracy:  0.644, Loss:  0.646
Epoch   3 Batch  128/269 - Train Accuracy:  0.646, Validation Accuracy:  0.646, Loss:  0.620
Epoch   3 Batch  129/269 - Train Accuracy:  0.648, Validation Accuracy:  0.646, Loss:  0.619
Epoch   3 Batch  130/269 - Train Accuracy:  0.617, Validation Accuracy:  0.647, Loss:  0.644
Epoch   3 Batch  131/269 - Train Accuracy:  0.637, Validation Accuracy:  0.646, Loss:  0.634
Epoch   3 Batch  132/269 - Train Accuracy:  0.640, Validation Accuracy:  0.645, Loss:  0.626
Epoch   3 Batch  133/269 - Train Accuracy:  0.655, Validation Accuracy:  0.648, Loss:  0.595
Epoch   3 Batch  134/269 - Train Accuracy:  0.624, Validation Accuracy:  0.647, Loss:  0.629
Epoch   3 Batch  135/269 - Train Accuracy:  0.614, Validation Accuracy:  0.645, Loss:  0.660
Epoch   3 Batch  136/269 - Train Accuracy:  0.610, Validation Accuracy:  0.641, Loss:  0.662
Epoch   3 Batch  137/269 - Train Accuracy:  0.641, Validation Accuracy:  0.643, Loss:  0.647
Epoch   3 Batch  138/269 - Train Accuracy:  0.630, Validation Accuracy:  0.644, Loss:  0.629
Epoch   3 Batch  139/269 - Train Accuracy:  0.651, Validation Accuracy:  0.647, Loss:  0.603
Epoch   3 Batch  140/269 - Train Accuracy:  0.647, Validation Accuracy:  0.645, Loss:  0.624
Epoch   3 Batch  141/269 - Train Accuracy:  0.631, Validation Accuracy:  0.648, Loss:  0.629
Epoch   3 Batch  142/269 - Train Accuracy:  0.647, Validation Accuracy:  0.650, Loss:  0.602
Epoch   3 Batch  143/269 - Train Accuracy:  0.640, Validation Accuracy:  0.651, Loss:  0.613
Epoch   3 Batch  144/269 - Train Accuracy:  0.655, Validation Accuracy:  0.653, Loss:  0.593
Epoch   3 Batch  145/269 - Train Accuracy:  0.662, Validation Accuracy:  0.653, Loss:  0.606
Epoch   3 Batch  146/269 - Train Accuracy:  0.641, Validation Accuracy:  0.651, Loss:  0.606
Epoch   3 Batch  147/269 - Train Accuracy:  0.654, Validation Accuracy:  0.650, Loss:  0.583
Epoch   3 Batch  148/269 - Train Accuracy:  0.642, Validation Accuracy:  0.649, Loss:  0.613
Epoch   3 Batch  149/269 - Train Accuracy:  0.640, Validation Accuracy:  0.652, Loss:  0.613
Epoch   3 Batch  150/269 - Train Accuracy:  0.665, Validation Accuracy:  0.652, Loss:  0.612
Epoch   3 Batch  151/269 - Train Accuracy:  0.672, Validation Accuracy:  0.645, Loss:  0.589
Epoch   3 Batch  152/269 - Train Accuracy:  0.644, Validation Accuracy:  0.647, Loss:  0.614
Epoch   3 Batch  153/269 - Train Accuracy:  0.646, Validation Accuracy:  0.645, Loss:  0.599
Epoch   3 Batch  154/269 - Train Accuracy:  0.630, Validation Accuracy:  0.645, Loss:  0.628
Epoch   3 Batch  155/269 - Train Accuracy:  0.675, Validation Accuracy:  0.647, Loss:  0.580
Epoch   3 Batch  156/269 - Train Accuracy:  0.636, Validation Accuracy:  0.649, Loss:  0.639
Epoch   3 Batch  157/269 - Train Accuracy:  0.644, Validation Accuracy:  0.655, Loss:  0.604
Epoch   3 Batch  158/269 - Train Accuracy:  0.667, Validation Accuracy:  0.659, Loss:  0.608
Epoch   3 Batch  159/269 - Train Accuracy:  0.654, Validation Accuracy:  0.657, Loss:  0.614
Epoch   3 Batch  160/269 - Train Accuracy:  0.645, Validation Accuracy:  0.650, Loss:  0.605
Epoch   3 Batch  161/269 - Train Accuracy:  0.641, Validation Accuracy:  0.650, Loss:  0.609
Epoch   3 Batch  162/269 - Train Accuracy:  0.651, Validation Accuracy:  0.648, Loss:  0.598
Epoch   3 Batch  163/269 - Train Accuracy:  0.651, Validation Accuracy:  0.650, Loss:  0.597
Epoch   3 Batch  164/269 - Train Accuracy:  0.662, Validation Accuracy:  0.654, Loss:  0.597
Epoch   3 Batch  165/269 - Train Accuracy:  0.639, Validation Accuracy:  0.647, Loss:  0.615
Epoch   3 Batch  166/269 - Train Accuracy:  0.655, Validation Accuracy:  0.651, Loss:  0.571
Epoch   3 Batch  167/269 - Train Accuracy:  0.648, Validation Accuracy:  0.652, Loss:  0.603
Epoch   3 Batch  168/269 - Train Accuracy:  0.645, Validation Accuracy:  0.652, Loss:  0.604
Epoch   3 Batch  169/269 - Train Accuracy:  0.646, Validation Accuracy:  0.656, Loss:  0.605
Epoch   3 Batch  170/269 - Train Accuracy:  0.653, Validation Accuracy:  0.652, Loss:  0.593
Epoch   3 Batch  171/269 - Train Accuracy:  0.666, Validation Accuracy:  0.656, Loss:  0.622
Epoch   3 Batch  172/269 - Train Accuracy:  0.657, Validation Accuracy:  0.655, Loss:  0.604
Epoch   3 Batch  173/269 - Train Accuracy:  0.646, Validation Accuracy:  0.654, Loss:  0.590
Epoch   3 Batch  174/269 - Train Accuracy:  0.639, Validation Accuracy:  0.656, Loss:  0.598
Epoch   3 Batch  175/269 - Train Accuracy:  0.654, Validation Accuracy:  0.658, Loss:  0.612
Epoch   3 Batch  176/269 - Train Accuracy:  0.649, Validation Accuracy:  0.656, Loss:  0.632
Epoch   3 Batch  177/269 - Train Accuracy:  0.661, Validation Accuracy:  0.660, Loss:  0.575
Epoch   3 Batch  178/269 - Train Accuracy:  0.636, Validation Accuracy:  0.657, Loss:  0.618
Epoch   3 Batch  179/269 - Train Accuracy:  0.641, Validation Accuracy:  0.657, Loss:  0.605
Epoch   3 Batch  180/269 - Train Accuracy:  0.648, Validation Accuracy:  0.653, Loss:  0.591
Epoch   3 Batch  181/269 - Train Accuracy:  0.648, Validation Accuracy:  0.653, Loss:  0.596
Epoch   3 Batch  182/269 - Train Accuracy:  0.655, Validation Accuracy:  0.652, Loss:  0.597
Epoch   3 Batch  183/269 - Train Accuracy:  0.696, Validation Accuracy:  0.649, Loss:  0.518
Epoch   3 Batch  184/269 - Train Accuracy:  0.633, Validation Accuracy:  0.652, Loss:  0.617
Epoch   3 Batch  185/269 - Train Accuracy:  0.662, Validation Accuracy:  0.656, Loss:  0.590
Epoch   3 Batch  186/269 - Train Accuracy:  0.637, Validation Accuracy:  0.654, Loss:  0.608
Epoch   3 Batch  187/269 - Train Accuracy:  0.666, Validation Accuracy:  0.652, Loss:  0.584
Epoch   3 Batch  188/269 - Train Accuracy:  0.661, Validation Accuracy:  0.653, Loss:  0.576
Epoch   3 Batch  189/269 - Train Accuracy:  0.656, Validation Accuracy:  0.653, Loss:  0.576
Epoch   3 Batch  190/269 - Train Accuracy:  0.654, Validation Accuracy:  0.655, Loss:  0.571
Epoch   3 Batch  191/269 - Train Accuracy:  0.667, Validation Accuracy:  0.655, Loss:  0.583
Epoch   3 Batch  192/269 - Train Accuracy:  0.670, Validation Accuracy:  0.658, Loss:  0.590
Epoch   3 Batch  193/269 - Train Accuracy:  0.664, Validation Accuracy:  0.660, Loss:  0.581
Epoch   3 Batch  194/269 - Train Accuracy:  0.668, Validation Accuracy:  0.659, Loss:  0.598
Epoch   3 Batch  195/269 - Train Accuracy:  0.639, Validation Accuracy:  0.660, Loss:  0.590
Epoch   3 Batch  196/269 - Train Accuracy:  0.647, Validation Accuracy:  0.661, Loss:  0.580
Epoch   3 Batch  197/269 - Train Accuracy:  0.640, Validation Accuracy:  0.662, Loss:  0.610
Epoch   3 Batch  198/269 - Train Accuracy:  0.642, Validation Accuracy:  0.662, Loss:  0.619
Epoch   3 Batch  199/269 - Train Accuracy:  0.642, Validation Accuracy:  0.662, Loss:  0.603
Epoch   3 Batch  200/269 - Train Accuracy:  0.643, Validation Accuracy:  0.658, Loss:  0.611
Epoch   3 Batch  201/269 - Train Accuracy:  0.650, Validation Accuracy:  0.657, Loss:  0.587
Epoch   3 Batch  202/269 - Train Accuracy:  0.646, Validation Accuracy:  0.660, Loss:  0.590
Epoch   3 Batch  203/269 - Train Accuracy:  0.649, Validation Accuracy:  0.667, Loss:  0.621
Epoch   3 Batch  204/269 - Train Accuracy:  0.658, Validation Accuracy:  0.673, Loss:  0.611
Epoch   3 Batch  205/269 - Train Accuracy:  0.672, Validation Accuracy:  0.670, Loss:  0.579
Epoch   3 Batch  206/269 - Train Accuracy:  0.653, Validation Accuracy:  0.663, Loss:  0.608
Epoch   3 Batch  207/269 - Train Accuracy:  0.678, Validation Accuracy:  0.663, Loss:  0.570
Epoch   3 Batch  208/269 - Train Accuracy:  0.645, Validation Accuracy:  0.664, Loss:  0.609
Epoch   3 Batch  209/269 - Train Accuracy:  0.645, Validation Accuracy:  0.664, Loss:  0.593
Epoch   3 Batch  210/269 - Train Accuracy:  0.669, Validation Accuracy:  0.668, Loss:  0.574
Epoch   3 Batch  211/269 - Train Accuracy:  0.654, Validation Accuracy:  0.670, Loss:  0.589
Epoch   3 Batch  212/269 - Train Accuracy:  0.669, Validation Accuracy:  0.673, Loss:  0.574
Epoch   3 Batch  213/269 - Train Accuracy:  0.667, Validation Accuracy:  0.665, Loss:  0.588
Epoch   3 Batch  214/269 - Train Accuracy:  0.667, Validation Accuracy:  0.664, Loss:  0.578
Epoch   3 Batch  215/269 - Train Accuracy:  0.686, Validation Accuracy:  0.664, Loss:  0.547
Epoch   3 Batch  216/269 - Train Accuracy:  0.630, Validation Accuracy:  0.662, Loss:  0.618
Epoch   3 Batch  217/269 - Train Accuracy:  0.632, Validation Accuracy:  0.665, Loss:  0.609
Epoch   3 Batch  218/269 - Train Accuracy:  0.659, Validation Accuracy:  0.666, Loss:  0.599
Epoch   3 Batch  219/269 - Train Accuracy:  0.669, Validation Accuracy:  0.668, Loss:  0.607
Epoch   3 Batch  220/269 - Train Accuracy:  0.674, Validation Accuracy:  0.670, Loss:  0.547
Epoch   3 Batch  221/269 - Train Accuracy:  0.677, Validation Accuracy:  0.670, Loss:  0.581
Epoch   3 Batch  222/269 - Train Accuracy:  0.680, Validation Accuracy:  0.671, Loss:  0.561
Epoch   3 Batch  223/269 - Train Accuracy:  0.654, Validation Accuracy:  0.666, Loss:  0.567
Epoch   3 Batch  224/269 - Train Accuracy:  0.671, Validation Accuracy:  0.663, Loss:  0.591
Epoch   3 Batch  225/269 - Train Accuracy:  0.657, Validation Accuracy:  0.667, Loss:  0.586
Epoch   3 Batch  226/269 - Train Accuracy:  0.679, Validation Accuracy:  0.668, Loss:  0.576
Epoch   3 Batch  227/269 - Train Accuracy:  0.708, Validation Accuracy:  0.674, Loss:  0.513
Epoch   3 Batch  228/269 - Train Accuracy:  0.666, Validation Accuracy:  0.675, Loss:  0.572
Epoch   3 Batch  229/269 - Train Accuracy:  0.669, Validation Accuracy:  0.673, Loss:  0.572
Epoch   3 Batch  230/269 - Train Accuracy:  0.662, Validation Accuracy:  0.670, Loss:  0.573
Epoch   3 Batch  231/269 - Train Accuracy:  0.660, Validation Accuracy:  0.674, Loss:  0.604
Epoch   3 Batch  232/269 - Train Accuracy:  0.646, Validation Accuracy:  0.676, Loss:  0.603
Epoch   3 Batch  233/269 - Train Accuracy:  0.665, Validation Accuracy:  0.672, Loss:  0.581
Epoch   3 Batch  234/269 - Train Accuracy:  0.665, Validation Accuracy:  0.668, Loss:  0.570
Epoch   3 Batch  235/269 - Train Accuracy:  0.674, Validation Accuracy:  0.673, Loss:  0.567
Epoch   3 Batch  236/269 - Train Accuracy:  0.657, Validation Accuracy:  0.679, Loss:  0.565
Epoch   3 Batch  237/269 - Train Accuracy:  0.665, Validation Accuracy:  0.678, Loss:  0.569
Epoch   3 Batch  238/269 - Train Accuracy:  0.685, Validation Accuracy:  0.681, Loss:  0.560
Epoch   3 Batch  239/269 - Train Accuracy:  0.665, Validation Accuracy:  0.678, Loss:  0.567
Epoch   3 Batch  240/269 - Train Accuracy:  0.693, Validation Accuracy:  0.669, Loss:  0.520
Epoch   3 Batch  241/269 - Train Accuracy:  0.657, Validation Accuracy:  0.667, Loss:  0.581
Epoch   3 Batch  242/269 - Train Accuracy:  0.665, Validation Accuracy:  0.672, Loss:  0.565
Epoch   3 Batch  243/269 - Train Accuracy:  0.682, Validation Accuracy:  0.670, Loss:  0.550
Epoch   3 Batch  244/269 - Train Accuracy:  0.674, Validation Accuracy:  0.675, Loss:  0.570
Epoch   3 Batch  245/269 - Train Accuracy:  0.659, Validation Accuracy:  0.677, Loss:  0.603
Epoch   3 Batch  246/269 - Train Accuracy:  0.663, Validation Accuracy:  0.678, Loss:  0.567
Epoch   3 Batch  247/269 - Train Accuracy:  0.662, Validation Accuracy:  0.678, Loss:  0.590
Epoch   3 Batch  248/269 - Train Accuracy:  0.680, Validation Accuracy:  0.676, Loss:  0.555
Epoch   3 Batch  249/269 - Train Accuracy:  0.694, Validation Accuracy:  0.671, Loss:  0.541
Epoch   3 Batch  250/269 - Train Accuracy:  0.666, Validation Accuracy:  0.673, Loss:  0.583
Epoch   3 Batch  251/269 - Train Accuracy:  0.686, Validation Accuracy:  0.674, Loss:  0.554
Epoch   3 Batch  252/269 - Train Accuracy:  0.674, Validation Accuracy:  0.678, Loss:  0.573
Epoch   3 Batch  253/269 - Train Accuracy:  0.660, Validation Accuracy:  0.688, Loss:  0.572
Epoch   3 Batch  254/269 - Train Accuracy:  0.679, Validation Accuracy:  0.688, Loss:  0.557
Epoch   3 Batch  255/269 - Train Accuracy:  0.688, Validation Accuracy:  0.686, Loss:  0.554
Epoch   3 Batch  256/269 - Train Accuracy:  0.664, Validation Accuracy:  0.682, Loss:  0.569
Epoch   3 Batch  257/269 - Train Accuracy:  0.653, Validation Accuracy:  0.675, Loss:  0.567
Epoch   3 Batch  258/269 - Train Accuracy:  0.670, Validation Accuracy:  0.667, Loss:  0.569
Epoch   3 Batch  259/269 - Train Accuracy:  0.675, Validation Accuracy:  0.665, Loss:  0.559
Epoch   3 Batch  260/269 - Train Accuracy:  0.645, Validation Accuracy:  0.664, Loss:  0.589
Epoch   3 Batch  261/269 - Train Accuracy:  0.642, Validation Accuracy:  0.670, Loss:  0.596
Epoch   3 Batch  262/269 - Train Accuracy:  0.675, Validation Accuracy:  0.672, Loss:  0.560
Epoch   3 Batch  263/269 - Train Accuracy:  0.672, Validation Accuracy:  0.676, Loss:  0.582
Epoch   3 Batch  264/269 - Train Accuracy:  0.670, Validation Accuracy:  0.676, Loss:  0.583
Epoch   3 Batch  265/269 - Train Accuracy:  0.667, Validation Accuracy:  0.680, Loss:  0.576
Epoch   3 Batch  266/269 - Train Accuracy:  0.684, Validation Accuracy:  0.679, Loss:  0.553
Epoch   3 Batch  267/269 - Train Accuracy:  0.673, Validation Accuracy:  0.674, Loss:  0.567
Epoch   4 Batch    0/269 - Train Accuracy:  0.653, Validation Accuracy:  0.667, Loss:  0.587
Epoch   4 Batch    1/269 - Train Accuracy:  0.649, Validation Accuracy:  0.669, Loss:  0.574
Epoch   4 Batch    2/269 - Train Accuracy:  0.652, Validation Accuracy:  0.676, Loss:  0.564
Epoch   4 Batch    3/269 - Train Accuracy:  0.671, Validation Accuracy:  0.677, Loss:  0.569
Epoch   4 Batch    4/269 - Train Accuracy:  0.654, Validation Accuracy:  0.685, Loss:  0.582
Epoch   4 Batch    5/269 - Train Accuracy:  0.659, Validation Accuracy:  0.683, Loss:  0.576
Epoch   4 Batch    6/269 - Train Accuracy:  0.684, Validation Accuracy:  0.679, Loss:  0.542
Epoch   4 Batch    7/269 - Train Accuracy:  0.679, Validation Accuracy:  0.672, Loss:  0.547
Epoch   4 Batch    8/269 - Train Accuracy:  0.655, Validation Accuracy:  0.668, Loss:  0.580
Epoch   4 Batch    9/269 - Train Accuracy:  0.666, Validation Accuracy:  0.670, Loss:  0.567
Epoch   4 Batch   10/269 - Train Accuracy:  0.672, Validation Accuracy:  0.674, Loss:  0.570
Epoch   4 Batch   11/269 - Train Accuracy:  0.677, Validation Accuracy:  0.686, Loss:  0.572
Epoch   4 Batch   12/269 - Train Accuracy:  0.672, Validation Accuracy:  0.686, Loss:  0.583
Epoch   4 Batch   13/269 - Train Accuracy:  0.686, Validation Accuracy:  0.683, Loss:  0.514
Epoch   4 Batch   14/269 - Train Accuracy:  0.679, Validation Accuracy:  0.679, Loss:  0.555
Epoch   4 Batch   15/269 - Train Accuracy:  0.657, Validation Accuracy:  0.678, Loss:  0.543
Epoch   4 Batch   16/269 - Train Accuracy:  0.670, Validation Accuracy:  0.682, Loss:  0.554
Epoch   4 Batch   17/269 - Train Accuracy:  0.682, Validation Accuracy:  0.686, Loss:  0.535
Epoch   4 Batch   18/269 - Train Accuracy:  0.656, Validation Accuracy:  0.688, Loss:  0.567
Epoch   4 Batch   19/269 - Train Accuracy:  0.672, Validation Accuracy:  0.688, Loss:  0.522
Epoch   4 Batch   20/269 - Train Accuracy:  0.681, Validation Accuracy:  0.686, Loss:  0.566
Epoch   4 Batch   21/269 - Train Accuracy:  0.660, Validation Accuracy:  0.689, Loss:  0.587
Epoch   4 Batch   22/269 - Train Accuracy:  0.690, Validation Accuracy:  0.688, Loss:  0.538
Epoch   4 Batch   23/269 - Train Accuracy:  0.684, Validation Accuracy:  0.690, Loss:  0.543
Epoch   4 Batch   24/269 - Train Accuracy:  0.685, Validation Accuracy:  0.697, Loss:  0.575
Epoch   4 Batch   25/269 - Train Accuracy:  0.667, Validation Accuracy:  0.690, Loss:  0.584
Epoch   4 Batch   26/269 - Train Accuracy:  0.700, Validation Accuracy:  0.684, Loss:  0.519
Epoch   4 Batch   27/269 - Train Accuracy:  0.672, Validation Accuracy:  0.687, Loss:  0.542
Epoch   4 Batch   28/269 - Train Accuracy:  0.651, Validation Accuracy:  0.695, Loss:  0.585
Epoch   4 Batch   29/269 - Train Accuracy:  0.682, Validation Accuracy:  0.694, Loss:  0.569
Epoch   4 Batch   30/269 - Train Accuracy:  0.682, Validation Accuracy:  0.691, Loss:  0.538
Epoch   4 Batch   31/269 - Train Accuracy:  0.687, Validation Accuracy:  0.688, Loss:  0.538
Epoch   4 Batch   32/269 - Train Accuracy:  0.677, Validation Accuracy:  0.690, Loss:  0.541
Epoch   4 Batch   33/269 - Train Accuracy:  0.705, Validation Accuracy:  0.693, Loss:  0.531
Epoch   4 Batch   34/269 - Train Accuracy:  0.692, Validation Accuracy:  0.697, Loss:  0.540
Epoch   4 Batch   35/269 - Train Accuracy:  0.690, Validation Accuracy:  0.693, Loss:  0.552
Epoch   4 Batch   36/269 - Train Accuracy:  0.667, Validation Accuracy:  0.685, Loss:  0.544
Epoch   4 Batch   37/269 - Train Accuracy:  0.684, Validation Accuracy:  0.685, Loss:  0.545
Epoch   4 Batch   38/269 - Train Accuracy:  0.673, Validation Accuracy:  0.689, Loss:  0.541
Epoch   4 Batch   39/269 - Train Accuracy:  0.670, Validation Accuracy:  0.691, Loss:  0.540
Epoch   4 Batch   40/269 - Train Accuracy:  0.670, Validation Accuracy:  0.695, Loss:  0.559
Epoch   4 Batch   41/269 - Train Accuracy:  0.676, Validation Accuracy:  0.692, Loss:  0.552
Epoch   4 Batch   42/269 - Train Accuracy:  0.704, Validation Accuracy:  0.686, Loss:  0.515
Epoch   4 Batch   43/269 - Train Accuracy:  0.680, Validation Accuracy:  0.685, Loss:  0.565
Epoch   4 Batch   44/269 - Train Accuracy:  0.670, Validation Accuracy:  0.686, Loss:  0.545
Epoch   4 Batch   45/269 - Train Accuracy:  0.674, Validation Accuracy:  0.687, Loss:  0.566
Epoch   4 Batch   46/269 - Train Accuracy:  0.660, Validation Accuracy:  0.694, Loss:  0.556
Epoch   4 Batch   47/269 - Train Accuracy:  0.711, Validation Accuracy:  0.693, Loss:  0.502
Epoch   4 Batch   48/269 - Train Accuracy:  0.695, Validation Accuracy:  0.693, Loss:  0.525
Epoch   4 Batch   49/269 - Train Accuracy:  0.669, Validation Accuracy:  0.692, Loss:  0.551
Epoch   4 Batch   50/269 - Train Accuracy:  0.669, Validation Accuracy:  0.687, Loss:  0.555
Epoch   4 Batch   51/269 - Train Accuracy:  0.680, Validation Accuracy:  0.695, Loss:  0.533
Epoch   4 Batch   52/269 - Train Accuracy:  0.677, Validation Accuracy:  0.700, Loss:  0.521
Epoch   4 Batch   53/269 - Train Accuracy:  0.680, Validation Accuracy:  0.701, Loss:  0.561
Epoch   4 Batch   54/269 - Train Accuracy:  0.693, Validation Accuracy:  0.704, Loss:  0.556
Epoch   4 Batch   55/269 - Train Accuracy:  0.703, Validation Accuracy:  0.699, Loss:  0.531
Epoch   4 Batch   56/269 - Train Accuracy:  0.699, Validation Accuracy:  0.689, Loss:  0.543
Epoch   4 Batch   57/269 - Train Accuracy:  0.680, Validation Accuracy:  0.691, Loss:  0.545
Epoch   4 Batch   58/269 - Train Accuracy:  0.689, Validation Accuracy:  0.703, Loss:  0.528
Epoch   4 Batch   59/269 - Train Accuracy:  0.716, Validation Accuracy:  0.703, Loss:  0.512
Epoch   4 Batch   60/269 - Train Accuracy:  0.695, Validation Accuracy:  0.704, Loss:  0.511
Epoch   4 Batch   61/269 - Train Accuracy:  0.710, Validation Accuracy:  0.703, Loss:  0.499
Epoch   4 Batch   62/269 - Train Accuracy:  0.697, Validation Accuracy:  0.701, Loss:  0.519
Epoch   4 Batch   63/269 - Train Accuracy:  0.681, Validation Accuracy:  0.693, Loss:  0.540
Epoch   4 Batch   64/269 - Train Accuracy:  0.676, Validation Accuracy:  0.690, Loss:  0.526
Epoch   4 Batch   65/269 - Train Accuracy:  0.672, Validation Accuracy:  0.691, Loss:  0.531
Epoch   4 Batch   66/269 - Train Accuracy:  0.701, Validation Accuracy:  0.695, Loss:  0.513
Epoch   4 Batch   67/269 - Train Accuracy:  0.686, Validation Accuracy:  0.699, Loss:  0.545
Epoch   4 Batch   68/269 - Train Accuracy:  0.664, Validation Accuracy:  0.696, Loss:  0.538
Epoch   4 Batch   69/269 - Train Accuracy:  0.652, Validation Accuracy:  0.698, Loss:  0.582
Epoch   4 Batch   70/269 - Train Accuracy:  0.691, Validation Accuracy:  0.691, Loss:  0.539
Epoch   4 Batch   71/269 - Train Accuracy:  0.673, Validation Accuracy:  0.689, Loss:  0.552
Epoch   4 Batch   72/269 - Train Accuracy:  0.687, Validation Accuracy:  0.699, Loss:  0.522
Epoch   4 Batch   73/269 - Train Accuracy:  0.689, Validation Accuracy:  0.703, Loss:  0.545
Epoch   4 Batch   74/269 - Train Accuracy:  0.695, Validation Accuracy:  0.700, Loss:  0.544
Epoch   4 Batch   75/269 - Train Accuracy:  0.695, Validation Accuracy:  0.699, Loss:  0.520
Epoch   4 Batch   76/269 - Train Accuracy:  0.681, Validation Accuracy:  0.700, Loss:  0.536
Epoch   4 Batch   77/269 - Train Accuracy:  0.688, Validation Accuracy:  0.700, Loss:  0.526
Epoch   4 Batch   78/269 - Train Accuracy:  0.701, Validation Accuracy:  0.703, Loss:  0.522
Epoch   4 Batch   79/269 - Train Accuracy:  0.688, Validation Accuracy:  0.706, Loss:  0.519
Epoch   4 Batch   80/269 - Train Accuracy:  0.701, Validation Accuracy:  0.705, Loss:  0.516
Epoch   4 Batch   81/269 - Train Accuracy:  0.705, Validation Accuracy:  0.705, Loss:  0.538
Epoch   4 Batch   82/269 - Train Accuracy:  0.722, Validation Accuracy:  0.707, Loss:  0.509
Epoch   4 Batch   83/269 - Train Accuracy:  0.690, Validation Accuracy:  0.702, Loss:  0.531
Epoch   4 Batch   84/269 - Train Accuracy:  0.691, Validation Accuracy:  0.701, Loss:  0.514
Epoch   4 Batch   85/269 - Train Accuracy:  0.675, Validation Accuracy:  0.699, Loss:  0.518
Epoch   4 Batch   86/269 - Train Accuracy:  0.688, Validation Accuracy:  0.700, Loss:  0.521
Epoch   4 Batch   87/269 - Train Accuracy:  0.679, Validation Accuracy:  0.704, Loss:  0.549
Epoch   4 Batch   88/269 - Train Accuracy:  0.681, Validation Accuracy:  0.711, Loss:  0.525
Epoch   4 Batch   89/269 - Train Accuracy:  0.694, Validation Accuracy:  0.706, Loss:  0.526
Epoch   4 Batch   90/269 - Train Accuracy:  0.666, Validation Accuracy:  0.704, Loss:  0.555
Epoch   4 Batch   91/269 - Train Accuracy:  0.721, Validation Accuracy:  0.706, Loss:  0.505
Epoch   4 Batch   92/269 - Train Accuracy:  0.705, Validation Accuracy:  0.707, Loss:  0.513
Epoch   4 Batch   93/269 - Train Accuracy:  0.701, Validation Accuracy:  0.704, Loss:  0.496
Epoch   4 Batch   94/269 - Train Accuracy:  0.699, Validation Accuracy:  0.704, Loss:  0.524
Epoch   4 Batch   95/269 - Train Accuracy:  0.694, Validation Accuracy:  0.706, Loss:  0.515
Epoch   4 Batch   96/269 - Train Accuracy:  0.701, Validation Accuracy:  0.707, Loss:  0.516
Epoch   4 Batch   97/269 - Train Accuracy:  0.697, Validation Accuracy:  0.710, Loss:  0.511
Epoch   4 Batch   98/269 - Train Accuracy:  0.700, Validation Accuracy:  0.708, Loss:  0.520
Epoch   4 Batch   99/269 - Train Accuracy:  0.678, Validation Accuracy:  0.708, Loss:  0.545
Epoch   4 Batch  100/269 - Train Accuracy:  0.705, Validation Accuracy:  0.705, Loss:  0.511
Epoch   4 Batch  101/269 - Train Accuracy:  0.665, Validation Accuracy:  0.707, Loss:  0.544
Epoch   4 Batch  102/269 - Train Accuracy:  0.680, Validation Accuracy:  0.710, Loss:  0.522
Epoch   4 Batch  103/269 - Train Accuracy:  0.710, Validation Accuracy:  0.710, Loss:  0.520
Epoch   4 Batch  104/269 - Train Accuracy:  0.705, Validation Accuracy:  0.711, Loss:  0.519
Epoch   4 Batch  105/269 - Train Accuracy:  0.688, Validation Accuracy:  0.712, Loss:  0.518
Epoch   4 Batch  106/269 - Train Accuracy:  0.694, Validation Accuracy:  0.706, Loss:  0.508
Epoch   4 Batch  107/269 - Train Accuracy:  0.686, Validation Accuracy:  0.705, Loss:  0.542
Epoch   4 Batch  108/269 - Train Accuracy:  0.698, Validation Accuracy:  0.706, Loss:  0.519
Epoch   4 Batch  109/269 - Train Accuracy:  0.688, Validation Accuracy:  0.704, Loss:  0.515
Epoch   4 Batch  110/269 - Train Accuracy:  0.696, Validation Accuracy:  0.711, Loss:  0.513
Epoch   4 Batch  111/269 - Train Accuracy:  0.679, Validation Accuracy:  0.712, Loss:  0.546
Epoch   4 Batch  112/269 - Train Accuracy:  0.691, Validation Accuracy:  0.711, Loss:  0.518
Epoch   4 Batch  113/269 - Train Accuracy:  0.698, Validation Accuracy:  0.708, Loss:  0.495
Epoch   4 Batch  114/269 - Train Accuracy:  0.702, Validation Accuracy:  0.699, Loss:  0.516
Epoch   4 Batch  115/269 - Train Accuracy:  0.698, Validation Accuracy:  0.700, Loss:  0.536
Epoch   4 Batch  116/269 - Train Accuracy:  0.709, Validation Accuracy:  0.704, Loss:  0.526
Epoch   4 Batch  117/269 - Train Accuracy:  0.709, Validation Accuracy:  0.704, Loss:  0.508
Epoch   4 Batch  118/269 - Train Accuracy:  0.715, Validation Accuracy:  0.704, Loss:  0.507
Epoch   4 Batch  119/269 - Train Accuracy:  0.691, Validation Accuracy:  0.707, Loss:  0.544
Epoch   4 Batch  120/269 - Train Accuracy:  0.684, Validation Accuracy:  0.712, Loss:  0.527
Epoch   4 Batch  121/269 - Train Accuracy:  0.700, Validation Accuracy:  0.717, Loss:  0.505
Epoch   4 Batch  122/269 - Train Accuracy:  0.716, Validation Accuracy:  0.708, Loss:  0.504
Epoch   4 Batch  123/269 - Train Accuracy:  0.698, Validation Accuracy:  0.705, Loss:  0.536
Epoch   4 Batch  124/269 - Train Accuracy:  0.681, Validation Accuracy:  0.700, Loss:  0.499
Epoch   4 Batch  125/269 - Train Accuracy:  0.704, Validation Accuracy:  0.698, Loss:  0.500
Epoch   4 Batch  126/269 - Train Accuracy:  0.693, Validation Accuracy:  0.697, Loss:  0.504
Epoch   4 Batch  127/269 - Train Accuracy:  0.673, Validation Accuracy:  0.698, Loss:  0.531
Epoch   4 Batch  128/269 - Train Accuracy:  0.706, Validation Accuracy:  0.707, Loss:  0.507
Epoch   4 Batch  129/269 - Train Accuracy:  0.702, Validation Accuracy:  0.707, Loss:  0.514
Epoch   4 Batch  130/269 - Train Accuracy:  0.690, Validation Accuracy:  0.707, Loss:  0.528
Epoch   4 Batch  131/269 - Train Accuracy:  0.695, Validation Accuracy:  0.707, Loss:  0.523
Epoch   4 Batch  132/269 - Train Accuracy:  0.695, Validation Accuracy:  0.705, Loss:  0.520
Epoch   4 Batch  133/269 - Train Accuracy:  0.718, Validation Accuracy:  0.710, Loss:  0.497
Epoch   4 Batch  134/269 - Train Accuracy:  0.683, Validation Accuracy:  0.710, Loss:  0.519
Epoch   4 Batch  135/269 - Train Accuracy:  0.678, Validation Accuracy:  0.716, Loss:  0.553
Epoch   4 Batch  136/269 - Train Accuracy:  0.675, Validation Accuracy:  0.717, Loss:  0.545
Epoch   4 Batch  137/269 - Train Accuracy:  0.681, Validation Accuracy:  0.712, Loss:  0.539
Epoch   4 Batch  138/269 - Train Accuracy:  0.694, Validation Accuracy:  0.705, Loss:  0.515
Epoch   4 Batch  139/269 - Train Accuracy:  0.706, Validation Accuracy:  0.701, Loss:  0.495
Epoch   4 Batch  140/269 - Train Accuracy:  0.696, Validation Accuracy:  0.702, Loss:  0.514
Epoch   4 Batch  141/269 - Train Accuracy:  0.700, Validation Accuracy:  0.706, Loss:  0.521
Epoch   4 Batch  142/269 - Train Accuracy:  0.696, Validation Accuracy:  0.709, Loss:  0.502
Epoch   4 Batch  143/269 - Train Accuracy:  0.692, Validation Accuracy:  0.712, Loss:  0.502
Epoch   4 Batch  144/269 - Train Accuracy:  0.713, Validation Accuracy:  0.716, Loss:  0.484
Epoch   4 Batch  145/269 - Train Accuracy:  0.708, Validation Accuracy:  0.719, Loss:  0.502
Epoch   4 Batch  146/269 - Train Accuracy:  0.704, Validation Accuracy:  0.717, Loss:  0.499
Epoch   4 Batch  147/269 - Train Accuracy:  0.712, Validation Accuracy:  0.716, Loss:  0.484
Epoch   4 Batch  148/269 - Train Accuracy:  0.699, Validation Accuracy:  0.715, Loss:  0.510
Epoch   4 Batch  149/269 - Train Accuracy:  0.700, Validation Accuracy:  0.715, Loss:  0.510
Epoch   4 Batch  150/269 - Train Accuracy:  0.706, Validation Accuracy:  0.716, Loss:  0.499
Epoch   4 Batch  151/269 - Train Accuracy:  0.725, Validation Accuracy:  0.718, Loss:  0.487
Epoch   4 Batch  152/269 - Train Accuracy:  0.707, Validation Accuracy:  0.720, Loss:  0.504
Epoch   4 Batch  153/269 - Train Accuracy:  0.707, Validation Accuracy:  0.718, Loss:  0.499
Epoch   4 Batch  154/269 - Train Accuracy:  0.706, Validation Accuracy:  0.715, Loss:  0.515
Epoch   4 Batch  155/269 - Train Accuracy:  0.727, Validation Accuracy:  0.709, Loss:  0.479
Epoch   4 Batch  156/269 - Train Accuracy:  0.689, Validation Accuracy:  0.706, Loss:  0.520
Epoch   4 Batch  157/269 - Train Accuracy:  0.705, Validation Accuracy:  0.703, Loss:  0.493
Epoch   4 Batch  158/269 - Train Accuracy:  0.704, Validation Accuracy:  0.705, Loss:  0.500
Epoch   4 Batch  159/269 - Train Accuracy:  0.705, Validation Accuracy:  0.711, Loss:  0.505
Epoch   4 Batch  160/269 - Train Accuracy:  0.706, Validation Accuracy:  0.711, Loss:  0.498
Epoch   4 Batch  161/269 - Train Accuracy:  0.691, Validation Accuracy:  0.712, Loss:  0.502
Epoch   4 Batch  162/269 - Train Accuracy:  0.710, Validation Accuracy:  0.710, Loss:  0.490
Epoch   4 Batch  163/269 - Train Accuracy:  0.712, Validation Accuracy:  0.716, Loss:  0.494
Epoch   4 Batch  164/269 - Train Accuracy:  0.724, Validation Accuracy:  0.710, Loss:  0.501
Epoch   4 Batch  165/269 - Train Accuracy:  0.689, Validation Accuracy:  0.708, Loss:  0.514
Epoch   4 Batch  166/269 - Train Accuracy:  0.710, Validation Accuracy:  0.708, Loss:  0.473
Epoch   4 Batch  167/269 - Train Accuracy:  0.701, Validation Accuracy:  0.711, Loss:  0.495
Epoch   4 Batch  168/269 - Train Accuracy:  0.696, Validation Accuracy:  0.713, Loss:  0.507
Epoch   4 Batch  169/269 - Train Accuracy:  0.713, Validation Accuracy:  0.715, Loss:  0.498
Epoch   4 Batch  170/269 - Train Accuracy:  0.703, Validation Accuracy:  0.716, Loss:  0.495
Epoch   4 Batch  171/269 - Train Accuracy:  0.704, Validation Accuracy:  0.711, Loss:  0.520
Epoch   4 Batch  172/269 - Train Accuracy:  0.709, Validation Accuracy:  0.709, Loss:  0.501
Epoch   4 Batch  173/269 - Train Accuracy:  0.703, Validation Accuracy:  0.711, Loss:  0.487
Epoch   4 Batch  174/269 - Train Accuracy:  0.700, Validation Accuracy:  0.718, Loss:  0.495
Epoch   4 Batch  175/269 - Train Accuracy:  0.710, Validation Accuracy:  0.719, Loss:  0.507
Epoch   4 Batch  176/269 - Train Accuracy:  0.691, Validation Accuracy:  0.714, Loss:  0.528
Epoch   4 Batch  177/269 - Train Accuracy:  0.712, Validation Accuracy:  0.718, Loss:  0.469
Epoch   4 Batch  178/269 - Train Accuracy:  0.698, Validation Accuracy:  0.718, Loss:  0.504
Epoch   4 Batch  179/269 - Train Accuracy:  0.700, Validation Accuracy:  0.709, Loss:  0.500
Epoch   4 Batch  180/269 - Train Accuracy:  0.717, Validation Accuracy:  0.710, Loss:  0.489
Epoch   4 Batch  181/269 - Train Accuracy:  0.711, Validation Accuracy:  0.713, Loss:  0.499
Epoch   4 Batch  182/269 - Train Accuracy:  0.716, Validation Accuracy:  0.720, Loss:  0.493
Epoch   4 Batch  183/269 - Train Accuracy:  0.745, Validation Accuracy:  0.720, Loss:  0.428
Epoch   4 Batch  184/269 - Train Accuracy:  0.698, Validation Accuracy:  0.714, Loss:  0.509
Epoch   4 Batch  185/269 - Train Accuracy:  0.713, Validation Accuracy:  0.710, Loss:  0.482
Epoch   4 Batch  186/269 - Train Accuracy:  0.702, Validation Accuracy:  0.711, Loss:  0.505
Epoch   4 Batch  187/269 - Train Accuracy:  0.719, Validation Accuracy:  0.717, Loss:  0.474
Epoch   4 Batch  188/269 - Train Accuracy:  0.716, Validation Accuracy:  0.720, Loss:  0.483
Epoch   4 Batch  189/269 - Train Accuracy:  0.720, Validation Accuracy:  0.718, Loss:  0.480
Epoch   4 Batch  190/269 - Train Accuracy:  0.701, Validation Accuracy:  0.723, Loss:  0.475
Epoch   4 Batch  191/269 - Train Accuracy:  0.702, Validation Accuracy:  0.721, Loss:  0.480
Epoch   4 Batch  192/269 - Train Accuracy:  0.717, Validation Accuracy:  0.718, Loss:  0.490
Epoch   4 Batch  193/269 - Train Accuracy:  0.717, Validation Accuracy:  0.717, Loss:  0.484
Epoch   4 Batch  194/269 - Train Accuracy:  0.708, Validation Accuracy:  0.718, Loss:  0.490
Epoch   4 Batch  195/269 - Train Accuracy:  0.703, Validation Accuracy:  0.721, Loss:  0.487
Epoch   4 Batch  196/269 - Train Accuracy:  0.697, Validation Accuracy:  0.722, Loss:  0.482
Epoch   4 Batch  197/269 - Train Accuracy:  0.696, Validation Accuracy:  0.723, Loss:  0.509
Epoch   4 Batch  198/269 - Train Accuracy:  0.697, Validation Accuracy:  0.721, Loss:  0.516
Epoch   4 Batch  199/269 - Train Accuracy:  0.697, Validation Accuracy:  0.719, Loss:  0.494
Epoch   4 Batch  200/269 - Train Accuracy:  0.704, Validation Accuracy:  0.720, Loss:  0.505
Epoch   4 Batch  201/269 - Train Accuracy:  0.709, Validation Accuracy:  0.723, Loss:  0.486
Epoch   4 Batch  202/269 - Train Accuracy:  0.696, Validation Accuracy:  0.716, Loss:  0.492
Epoch   4 Batch  203/269 - Train Accuracy:  0.697, Validation Accuracy:  0.720, Loss:  0.519
Epoch   4 Batch  204/269 - Train Accuracy:  0.695, Validation Accuracy:  0.719, Loss:  0.506
Epoch   4 Batch  205/269 - Train Accuracy:  0.738, Validation Accuracy:  0.723, Loss:  0.474
Epoch   4 Batch  206/269 - Train Accuracy:  0.689, Validation Accuracy:  0.724, Loss:  0.510
Epoch   4 Batch  207/269 - Train Accuracy:  0.728, Validation Accuracy:  0.722, Loss:  0.471
Epoch   4 Batch  208/269 - Train Accuracy:  0.710, Validation Accuracy:  0.722, Loss:  0.501
Epoch   4 Batch  209/269 - Train Accuracy:  0.714, Validation Accuracy:  0.721, Loss:  0.489
Epoch   4 Batch  210/269 - Train Accuracy:  0.723, Validation Accuracy:  0.724, Loss:  0.474
Epoch   4 Batch  211/269 - Train Accuracy:  0.716, Validation Accuracy:  0.722, Loss:  0.486
Epoch   4 Batch  212/269 - Train Accuracy:  0.713, Validation Accuracy:  0.724, Loss:  0.483
Epoch   4 Batch  213/269 - Train Accuracy:  0.722, Validation Accuracy:  0.719, Loss:  0.480
Epoch   4 Batch  214/269 - Train Accuracy:  0.717, Validation Accuracy:  0.720, Loss:  0.480
Epoch   4 Batch  215/269 - Train Accuracy:  0.750, Validation Accuracy:  0.719, Loss:  0.452
Epoch   4 Batch  216/269 - Train Accuracy:  0.691, Validation Accuracy:  0.724, Loss:  0.517
Epoch   4 Batch  217/269 - Train Accuracy:  0.694, Validation Accuracy:  0.722, Loss:  0.499
Epoch   4 Batch  218/269 - Train Accuracy:  0.720, Validation Accuracy:  0.723, Loss:  0.504
Epoch   4 Batch  219/269 - Train Accuracy:  0.716, Validation Accuracy:  0.717, Loss:  0.499
Epoch   4 Batch  220/269 - Train Accuracy:  0.725, Validation Accuracy:  0.710, Loss:  0.452
Epoch   4 Batch  221/269 - Train Accuracy:  0.739, Validation Accuracy:  0.713, Loss:  0.482
Epoch   4 Batch  222/269 - Train Accuracy:  0.750, Validation Accuracy:  0.717, Loss:  0.461
Epoch   4 Batch  223/269 - Train Accuracy:  0.705, Validation Accuracy:  0.715, Loss:  0.468
Epoch   4 Batch  224/269 - Train Accuracy:  0.734, Validation Accuracy:  0.719, Loss:  0.492
Epoch   4 Batch  225/269 - Train Accuracy:  0.707, Validation Accuracy:  0.719, Loss:  0.479
Epoch   4 Batch  226/269 - Train Accuracy:  0.712, Validation Accuracy:  0.716, Loss:  0.467
Epoch   4 Batch  227/269 - Train Accuracy:  0.750, Validation Accuracy:  0.717, Loss:  0.430
Epoch   4 Batch  228/269 - Train Accuracy:  0.716, Validation Accuracy:  0.723, Loss:  0.473
Epoch   4 Batch  229/269 - Train Accuracy:  0.724, Validation Accuracy:  0.722, Loss:  0.470
Epoch   4 Batch  230/269 - Train Accuracy:  0.724, Validation Accuracy:  0.719, Loss:  0.474
Epoch   4 Batch  231/269 - Train Accuracy:  0.721, Validation Accuracy:  0.716, Loss:  0.501
Epoch   4 Batch  232/269 - Train Accuracy:  0.708, Validation Accuracy:  0.718, Loss:  0.494
Epoch   4 Batch  233/269 - Train Accuracy:  0.726, Validation Accuracy:  0.720, Loss:  0.475
Epoch   4 Batch  234/269 - Train Accuracy:  0.716, Validation Accuracy:  0.721, Loss:  0.472
Epoch   4 Batch  235/269 - Train Accuracy:  0.729, Validation Accuracy:  0.721, Loss:  0.466
Epoch   4 Batch  236/269 - Train Accuracy:  0.717, Validation Accuracy:  0.719, Loss:  0.467
Epoch   4 Batch  237/269 - Train Accuracy:  0.726, Validation Accuracy:  0.720, Loss:  0.467
Epoch   4 Batch  238/269 - Train Accuracy:  0.742, Validation Accuracy:  0.724, Loss:  0.462
Epoch   4 Batch  239/269 - Train Accuracy:  0.711, Validation Accuracy:  0.725, Loss:  0.468
Epoch   4 Batch  240/269 - Train Accuracy:  0.754, Validation Accuracy:  0.722, Loss:  0.432
Epoch   4 Batch  241/269 - Train Accuracy:  0.718, Validation Accuracy:  0.724, Loss:  0.483
Epoch   4 Batch  242/269 - Train Accuracy:  0.720, Validation Accuracy:  0.722, Loss:  0.463
Epoch   4 Batch  243/269 - Train Accuracy:  0.726, Validation Accuracy:  0.723, Loss:  0.452
Epoch   4 Batch  244/269 - Train Accuracy:  0.732, Validation Accuracy:  0.727, Loss:  0.465
Epoch   4 Batch  245/269 - Train Accuracy:  0.695, Validation Accuracy:  0.723, Loss:  0.497
Epoch   4 Batch  246/269 - Train Accuracy:  0.712, Validation Accuracy:  0.726, Loss:  0.469
Epoch   4 Batch  247/269 - Train Accuracy:  0.715, Validation Accuracy:  0.725, Loss:  0.484
Epoch   4 Batch  248/269 - Train Accuracy:  0.726, Validation Accuracy:  0.724, Loss:  0.461
Epoch   4 Batch  249/269 - Train Accuracy:  0.743, Validation Accuracy:  0.725, Loss:  0.449
Epoch   4 Batch  250/269 - Train Accuracy:  0.719, Validation Accuracy:  0.723, Loss:  0.484
Epoch   4 Batch  251/269 - Train Accuracy:  0.743, Validation Accuracy:  0.726, Loss:  0.462
Epoch   4 Batch  252/269 - Train Accuracy:  0.725, Validation Accuracy:  0.729, Loss:  0.471
Epoch   4 Batch  253/269 - Train Accuracy:  0.708, Validation Accuracy:  0.731, Loss:  0.473
Epoch   4 Batch  254/269 - Train Accuracy:  0.738, Validation Accuracy:  0.730, Loss:  0.461
Epoch   4 Batch  255/269 - Train Accuracy:  0.726, Validation Accuracy:  0.732, Loss:  0.454
Epoch   4 Batch  256/269 - Train Accuracy:  0.723, Validation Accuracy:  0.733, Loss:  0.472
Epoch   4 Batch  257/269 - Train Accuracy:  0.723, Validation Accuracy:  0.724, Loss:  0.474
Epoch   4 Batch  258/269 - Train Accuracy:  0.729, Validation Accuracy:  0.721, Loss:  0.464
Epoch   4 Batch  259/269 - Train Accuracy:  0.728, Validation Accuracy:  0.718, Loss:  0.468
Epoch   4 Batch  260/269 - Train Accuracy:  0.700, Validation Accuracy:  0.721, Loss:  0.487
Epoch   4 Batch  261/269 - Train Accuracy:  0.706, Validation Accuracy:  0.727, Loss:  0.488
Epoch   4 Batch  262/269 - Train Accuracy:  0.731, Validation Accuracy:  0.726, Loss:  0.472
Epoch   4 Batch  263/269 - Train Accuracy:  0.724, Validation Accuracy:  0.730, Loss:  0.485
Epoch   4 Batch  264/269 - Train Accuracy:  0.715, Validation Accuracy:  0.730, Loss:  0.480
Epoch   4 Batch  265/269 - Train Accuracy:  0.712, Validation Accuracy:  0.729, Loss:  0.475
Epoch   4 Batch  266/269 - Train Accuracy:  0.732, Validation Accuracy:  0.727, Loss:  0.461
Epoch   4 Batch  267/269 - Train Accuracy:  0.711, Validation Accuracy:  0.727, Loss:  0.462
Epoch   5 Batch    0/269 - Train Accuracy:  0.725, Validation Accuracy:  0.733, Loss:  0.490
Epoch   5 Batch    1/269 - Train Accuracy:  0.721, Validation Accuracy:  0.729, Loss:  0.473
Epoch   5 Batch    2/269 - Train Accuracy:  0.723, Validation Accuracy:  0.730, Loss:  0.467
Epoch   5 Batch    3/269 - Train Accuracy:  0.721, Validation Accuracy:  0.727, Loss:  0.475
Epoch   5 Batch    4/269 - Train Accuracy:  0.703, Validation Accuracy:  0.725, Loss:  0.470
Epoch   5 Batch    5/269 - Train Accuracy:  0.698, Validation Accuracy:  0.727, Loss:  0.481
Epoch   5 Batch    6/269 - Train Accuracy:  0.745, Validation Accuracy:  0.726, Loss:  0.447
Epoch   5 Batch    7/269 - Train Accuracy:  0.725, Validation Accuracy:  0.730, Loss:  0.449
Epoch   5 Batch    8/269 - Train Accuracy:  0.705, Validation Accuracy:  0.729, Loss:  0.481
Epoch   5 Batch    9/269 - Train Accuracy:  0.712, Validation Accuracy:  0.726, Loss:  0.466
Epoch   5 Batch   10/269 - Train Accuracy:  0.722, Validation Accuracy:  0.731, Loss:  0.469
Epoch   5 Batch   11/269 - Train Accuracy:  0.731, Validation Accuracy:  0.737, Loss:  0.467
Epoch   5 Batch   12/269 - Train Accuracy:  0.718, Validation Accuracy:  0.738, Loss:  0.488
Epoch   5 Batch   13/269 - Train Accuracy:  0.740, Validation Accuracy:  0.735, Loss:  0.430
Epoch   5 Batch   14/269 - Train Accuracy:  0.735, Validation Accuracy:  0.731, Loss:  0.452
Epoch   5 Batch   15/269 - Train Accuracy:  0.717, Validation Accuracy:  0.728, Loss:  0.446
Epoch   5 Batch   16/269 - Train Accuracy:  0.722, Validation Accuracy:  0.732, Loss:  0.462
Epoch   5 Batch   17/269 - Train Accuracy:  0.746, Validation Accuracy:  0.731, Loss:  0.445
Epoch   5 Batch   18/269 - Train Accuracy:  0.715, Validation Accuracy:  0.735, Loss:  0.466
Epoch   5 Batch   19/269 - Train Accuracy:  0.734, Validation Accuracy:  0.732, Loss:  0.427
Epoch   5 Batch   20/269 - Train Accuracy:  0.731, Validation Accuracy:  0.731, Loss:  0.466
Epoch   5 Batch   21/269 - Train Accuracy:  0.701, Validation Accuracy:  0.735, Loss:  0.486
Epoch   5 Batch   22/269 - Train Accuracy:  0.730, Validation Accuracy:  0.735, Loss:  0.447
Epoch   5 Batch   23/269 - Train Accuracy:  0.728, Validation Accuracy:  0.735, Loss:  0.452
Epoch   5 Batch   24/269 - Train Accuracy:  0.730, Validation Accuracy:  0.738, Loss:  0.470
Epoch   5 Batch   25/269 - Train Accuracy:  0.722, Validation Accuracy:  0.735, Loss:  0.485
Epoch   5 Batch   26/269 - Train Accuracy:  0.738, Validation Accuracy:  0.729, Loss:  0.420
Epoch   5 Batch   27/269 - Train Accuracy:  0.722, Validation Accuracy:  0.734, Loss:  0.452
Epoch   5 Batch   28/269 - Train Accuracy:  0.691, Validation Accuracy:  0.734, Loss:  0.483
Epoch   5 Batch   29/269 - Train Accuracy:  0.733, Validation Accuracy:  0.731, Loss:  0.470
Epoch   5 Batch   30/269 - Train Accuracy:  0.739, Validation Accuracy:  0.729, Loss:  0.450
Epoch   5 Batch   31/269 - Train Accuracy:  0.732, Validation Accuracy:  0.731, Loss:  0.446
Epoch   5 Batch   32/269 - Train Accuracy:  0.734, Validation Accuracy:  0.730, Loss:  0.446
Epoch   5 Batch   33/269 - Train Accuracy:  0.746, Validation Accuracy:  0.733, Loss:  0.431
Epoch   5 Batch   34/269 - Train Accuracy:  0.738, Validation Accuracy:  0.735, Loss:  0.442
Epoch   5 Batch   35/269 - Train Accuracy:  0.727, Validation Accuracy:  0.733, Loss:  0.455
Epoch   5 Batch   36/269 - Train Accuracy:  0.721, Validation Accuracy:  0.731, Loss:  0.449
Epoch   5 Batch   37/269 - Train Accuracy:  0.740, Validation Accuracy:  0.731, Loss:  0.444
Epoch   5 Batch   38/269 - Train Accuracy:  0.732, Validation Accuracy:  0.727, Loss:  0.451
Epoch   5 Batch   39/269 - Train Accuracy:  0.722, Validation Accuracy:  0.730, Loss:  0.437
Epoch   5 Batch   40/269 - Train Accuracy:  0.725, Validation Accuracy:  0.734, Loss:  0.465
Epoch   5 Batch   41/269 - Train Accuracy:  0.744, Validation Accuracy:  0.736, Loss:  0.456
Epoch   5 Batch   42/269 - Train Accuracy:  0.758, Validation Accuracy:  0.737, Loss:  0.422
Epoch   5 Batch   43/269 - Train Accuracy:  0.741, Validation Accuracy:  0.734, Loss:  0.465
Epoch   5 Batch   44/269 - Train Accuracy:  0.726, Validation Accuracy:  0.738, Loss:  0.454
Epoch   5 Batch   45/269 - Train Accuracy:  0.727, Validation Accuracy:  0.740, Loss:  0.463
Epoch   5 Batch   46/269 - Train Accuracy:  0.714, Validation Accuracy:  0.742, Loss:  0.466
Epoch   5 Batch   47/269 - Train Accuracy:  0.744, Validation Accuracy:  0.741, Loss:  0.420
Epoch   5 Batch   48/269 - Train Accuracy:  0.751, Validation Accuracy:  0.738, Loss:  0.439
Epoch   5 Batch   49/269 - Train Accuracy:  0.717, Validation Accuracy:  0.736, Loss:  0.454
Epoch   5 Batch   50/269 - Train Accuracy:  0.712, Validation Accuracy:  0.738, Loss:  0.470
Epoch   5 Batch   51/269 - Train Accuracy:  0.739, Validation Accuracy:  0.739, Loss:  0.449
Epoch   5 Batch   52/269 - Train Accuracy:  0.722, Validation Accuracy:  0.734, Loss:  0.425
Epoch   5 Batch   53/269 - Train Accuracy:  0.723, Validation Accuracy:  0.736, Loss:  0.469
Epoch   5 Batch   54/269 - Train Accuracy:  0.737, Validation Accuracy:  0.741, Loss:  0.454
Epoch   5 Batch   55/269 - Train Accuracy:  0.761, Validation Accuracy:  0.742, Loss:  0.433
Epoch   5 Batch   56/269 - Train Accuracy:  0.743, Validation Accuracy:  0.740, Loss:  0.452
Epoch   5 Batch   57/269 - Train Accuracy:  0.738, Validation Accuracy:  0.741, Loss:  0.455
Epoch   5 Batch   58/269 - Train Accuracy:  0.750, Validation Accuracy:  0.741, Loss:  0.437
Epoch   5 Batch   59/269 - Train Accuracy:  0.759, Validation Accuracy:  0.737, Loss:  0.421
Epoch   5 Batch   60/269 - Train Accuracy:  0.746, Validation Accuracy:  0.737, Loss:  0.417
Epoch   5 Batch   61/269 - Train Accuracy:  0.745, Validation Accuracy:  0.743, Loss:  0.409
Epoch   5 Batch   62/269 - Train Accuracy:  0.751, Validation Accuracy:  0.735, Loss:  0.422
Epoch   5 Batch   63/269 - Train Accuracy:  0.746, Validation Accuracy:  0.738, Loss:  0.448
Epoch   5 Batch   64/269 - Train Accuracy:  0.743, Validation Accuracy:  0.739, Loss:  0.431
Epoch   5 Batch   65/269 - Train Accuracy:  0.727, Validation Accuracy:  0.740, Loss:  0.432
Epoch   5 Batch   66/269 - Train Accuracy:  0.749, Validation Accuracy:  0.737, Loss:  0.422
Epoch   5 Batch   67/269 - Train Accuracy:  0.739, Validation Accuracy:  0.739, Loss:  0.446
Epoch   5 Batch   68/269 - Train Accuracy:  0.715, Validation Accuracy:  0.740, Loss:  0.446
Epoch   5 Batch   69/269 - Train Accuracy:  0.715, Validation Accuracy:  0.734, Loss:  0.480
Epoch   5 Batch   70/269 - Train Accuracy:  0.753, Validation Accuracy:  0.734, Loss:  0.444
Epoch   5 Batch   71/269 - Train Accuracy:  0.730, Validation Accuracy:  0.736, Loss:  0.458
Epoch   5 Batch   72/269 - Train Accuracy:  0.737, Validation Accuracy:  0.736, Loss:  0.439
Epoch   5 Batch   73/269 - Train Accuracy:  0.726, Validation Accuracy:  0.737, Loss:  0.456
Epoch   5 Batch   74/269 - Train Accuracy:  0.738, Validation Accuracy:  0.736, Loss:  0.446
Epoch   5 Batch   75/269 - Train Accuracy:  0.747, Validation Accuracy:  0.730, Loss:  0.429
Epoch   5 Batch   76/269 - Train Accuracy:  0.726, Validation Accuracy:  0.735, Loss:  0.445
Epoch   5 Batch   77/269 - Train Accuracy:  0.745, Validation Accuracy:  0.732, Loss:  0.429
Epoch   5 Batch   78/269 - Train Accuracy:  0.756, Validation Accuracy:  0.733, Loss:  0.426
Epoch   5 Batch   79/269 - Train Accuracy:  0.737, Validation Accuracy:  0.740, Loss:  0.425
Epoch   5 Batch   80/269 - Train Accuracy:  0.749, Validation Accuracy:  0.742, Loss:  0.433
Epoch   5 Batch   81/269 - Train Accuracy:  0.734, Validation Accuracy:  0.738, Loss:  0.442
Epoch   5 Batch   82/269 - Train Accuracy:  0.753, Validation Accuracy:  0.743, Loss:  0.419
Epoch   5 Batch   83/269 - Train Accuracy:  0.746, Validation Accuracy:  0.742, Loss:  0.439
Epoch   5 Batch   84/269 - Train Accuracy:  0.747, Validation Accuracy:  0.743, Loss:  0.425
Epoch   5 Batch   85/269 - Train Accuracy:  0.748, Validation Accuracy:  0.742, Loss:  0.429
Epoch   5 Batch   86/269 - Train Accuracy:  0.743, Validation Accuracy:  0.743, Loss:  0.427
Epoch   5 Batch   87/269 - Train Accuracy:  0.725, Validation Accuracy:  0.743, Loss:  0.458
Epoch   5 Batch   88/269 - Train Accuracy:  0.729, Validation Accuracy:  0.742, Loss:  0.440
Epoch   5 Batch   89/269 - Train Accuracy:  0.749, Validation Accuracy:  0.743, Loss:  0.432
Epoch   5 Batch   90/269 - Train Accuracy:  0.711, Validation Accuracy:  0.741, Loss:  0.455
Epoch   5 Batch   91/269 - Train Accuracy:  0.774, Validation Accuracy:  0.744, Loss:  0.415
Epoch   5 Batch   92/269 - Train Accuracy:  0.752, Validation Accuracy:  0.742, Loss:  0.425
Epoch   5 Batch   93/269 - Train Accuracy:  0.754, Validation Accuracy:  0.742, Loss:  0.417
Epoch   5 Batch   94/269 - Train Accuracy:  0.739, Validation Accuracy:  0.742, Loss:  0.436
Epoch   5 Batch   95/269 - Train Accuracy:  0.747, Validation Accuracy:  0.744, Loss:  0.431
Epoch   5 Batch   96/269 - Train Accuracy:  0.741, Validation Accuracy:  0.744, Loss:  0.423
Epoch   5 Batch   97/269 - Train Accuracy:  0.750, Validation Accuracy:  0.745, Loss:  0.425
Epoch   5 Batch   98/269 - Train Accuracy:  0.754, Validation Accuracy:  0.746, Loss:  0.431
Epoch   5 Batch   99/269 - Train Accuracy:  0.711, Validation Accuracy:  0.746, Loss:  0.437
Epoch   5 Batch  100/269 - Train Accuracy:  0.754, Validation Accuracy:  0.745, Loss:  0.421
Epoch   5 Batch  101/269 - Train Accuracy:  0.718, Validation Accuracy:  0.745, Loss:  0.456
Epoch   5 Batch  102/269 - Train Accuracy:  0.727, Validation Accuracy:  0.744, Loss:  0.423
Epoch   5 Batch  103/269 - Train Accuracy:  0.752, Validation Accuracy:  0.745, Loss:  0.430
Epoch   5 Batch  104/269 - Train Accuracy:  0.754, Validation Accuracy:  0.744, Loss:  0.422
Epoch   5 Batch  105/269 - Train Accuracy:  0.739, Validation Accuracy:  0.748, Loss:  0.428
Epoch   5 Batch  106/269 - Train Accuracy:  0.740, Validation Accuracy:  0.747, Loss:  0.417
Epoch   5 Batch  107/269 - Train Accuracy:  0.740, Validation Accuracy:  0.748, Loss:  0.445
Epoch   5 Batch  108/269 - Train Accuracy:  0.747, Validation Accuracy:  0.747, Loss:  0.427
Epoch   5 Batch  109/269 - Train Accuracy:  0.749, Validation Accuracy:  0.744, Loss:  0.428
Epoch   5 Batch  110/269 - Train Accuracy:  0.749, Validation Accuracy:  0.746, Loss:  0.423
Epoch   5 Batch  111/269 - Train Accuracy:  0.728, Validation Accuracy:  0.744, Loss:  0.453
Epoch   5 Batch  112/269 - Train Accuracy:  0.748, Validation Accuracy:  0.743, Loss:  0.426
Epoch   5 Batch  113/269 - Train Accuracy:  0.743, Validation Accuracy:  0.744, Loss:  0.406
Epoch   5 Batch  114/269 - Train Accuracy:  0.758, Validation Accuracy:  0.744, Loss:  0.428
Epoch   5 Batch  115/269 - Train Accuracy:  0.741, Validation Accuracy:  0.745, Loss:  0.439
Epoch   5 Batch  116/269 - Train Accuracy:  0.755, Validation Accuracy:  0.745, Loss:  0.440
Epoch   5 Batch  117/269 - Train Accuracy:  0.764, Validation Accuracy:  0.746, Loss:  0.419
Epoch   5 Batch  118/269 - Train Accuracy:  0.765, Validation Accuracy:  0.746, Loss:  0.413
Epoch   5 Batch  119/269 - Train Accuracy:  0.717, Validation Accuracy:  0.743, Loss:  0.451
Epoch   5 Batch  120/269 - Train Accuracy:  0.748, Validation Accuracy:  0.742, Loss:  0.434
Epoch   5 Batch  121/269 - Train Accuracy:  0.739, Validation Accuracy:  0.745, Loss:  0.415
Epoch   5 Batch  122/269 - Train Accuracy:  0.745, Validation Accuracy:  0.742, Loss:  0.416
Epoch   5 Batch  123/269 - Train Accuracy:  0.751, Validation Accuracy:  0.747, Loss:  0.441
Epoch   5 Batch  124/269 - Train Accuracy:  0.740, Validation Accuracy:  0.749, Loss:  0.413
Epoch   5 Batch  125/269 - Train Accuracy:  0.767, Validation Accuracy:  0.749, Loss:  0.407
Epoch   5 Batch  126/269 - Train Accuracy:  0.735, Validation Accuracy:  0.745, Loss:  0.417
Epoch   5 Batch  127/269 - Train Accuracy:  0.724, Validation Accuracy:  0.742, Loss:  0.441
Epoch   5 Batch  128/269 - Train Accuracy:  0.753, Validation Accuracy:  0.745, Loss:  0.416
Epoch   5 Batch  129/269 - Train Accuracy:  0.735, Validation Accuracy:  0.749, Loss:  0.419
Epoch   5 Batch  130/269 - Train Accuracy:  0.729, Validation Accuracy:  0.751, Loss:  0.441
Epoch   5 Batch  131/269 - Train Accuracy:  0.741, Validation Accuracy:  0.750, Loss:  0.438
Epoch   5 Batch  132/269 - Train Accuracy:  0.738, Validation Accuracy:  0.748, Loss:  0.425
Epoch   5 Batch  133/269 - Train Accuracy:  0.765, Validation Accuracy:  0.750, Loss:  0.409
Epoch   5 Batch  134/269 - Train Accuracy:  0.731, Validation Accuracy:  0.752, Loss:  0.431
Epoch   5 Batch  135/269 - Train Accuracy:  0.733, Validation Accuracy:  0.754, Loss:  0.449
Epoch   5 Batch  136/269 - Train Accuracy:  0.723, Validation Accuracy:  0.757, Loss:  0.447
Epoch   5 Batch  137/269 - Train Accuracy:  0.728, Validation Accuracy:  0.757, Loss:  0.439
Epoch   5 Batch  138/269 - Train Accuracy:  0.749, Validation Accuracy:  0.753, Loss:  0.421
Epoch   5 Batch  139/269 - Train Accuracy:  0.767, Validation Accuracy:  0.750, Loss:  0.403
Epoch   5 Batch  140/269 - Train Accuracy:  0.752, Validation Accuracy:  0.749, Loss:  0.426
Epoch   5 Batch  141/269 - Train Accuracy:  0.756, Validation Accuracy:  0.744, Loss:  0.427
Epoch   5 Batch  142/269 - Train Accuracy:  0.733, Validation Accuracy:  0.747, Loss:  0.414
Epoch   5 Batch  143/269 - Train Accuracy:  0.745, Validation Accuracy:  0.747, Loss:  0.412
Epoch   5 Batch  144/269 - Train Accuracy:  0.757, Validation Accuracy:  0.751, Loss:  0.402
Epoch   5 Batch  145/269 - Train Accuracy:  0.742, Validation Accuracy:  0.752, Loss:  0.411
Epoch   5 Batch  146/269 - Train Accuracy:  0.740, Validation Accuracy:  0.748, Loss:  0.407
Epoch   5 Batch  147/269 - Train Accuracy:  0.755, Validation Accuracy:  0.748, Loss:  0.404
Epoch   5 Batch  148/269 - Train Accuracy:  0.741, Validation Accuracy:  0.753, Loss:  0.416
Epoch   5 Batch  149/269 - Train Accuracy:  0.728, Validation Accuracy:  0.745, Loss:  0.431
Epoch   5 Batch  150/269 - Train Accuracy:  0.750, Validation Accuracy:  0.747, Loss:  0.412
Epoch   5 Batch  151/269 - Train Accuracy:  0.754, Validation Accuracy:  0.749, Loss:  0.396
Epoch   5 Batch  152/269 - Train Accuracy:  0.751, Validation Accuracy:  0.755, Loss:  0.418
Epoch   5 Batch  153/269 - Train Accuracy:  0.757, Validation Accuracy:  0.751, Loss:  0.413
Epoch   5 Batch  154/269 - Train Accuracy:  0.761, Validation Accuracy:  0.753, Loss:  0.424
Epoch   5 Batch  155/269 - Train Accuracy:  0.752, Validation Accuracy:  0.753, Loss:  0.389
Epoch   5 Batch  156/269 - Train Accuracy:  0.732, Validation Accuracy:  0.752, Loss:  0.426
Epoch   5 Batch  157/269 - Train Accuracy:  0.740, Validation Accuracy:  0.748, Loss:  0.400
Epoch   5 Batch  158/269 - Train Accuracy:  0.743, Validation Accuracy:  0.749, Loss:  0.415
Epoch   5 Batch  159/269 - Train Accuracy:  0.741, Validation Accuracy:  0.749, Loss:  0.419
Epoch   5 Batch  160/269 - Train Accuracy:  0.750, Validation Accuracy:  0.753, Loss:  0.413
Epoch   5 Batch  161/269 - Train Accuracy:  0.735, Validation Accuracy:  0.757, Loss:  0.411
Epoch   5 Batch  162/269 - Train Accuracy:  0.758, Validation Accuracy:  0.756, Loss:  0.400
Epoch   5 Batch  163/269 - Train Accuracy:  0.755, Validation Accuracy:  0.750, Loss:  0.403
Epoch   5 Batch  164/269 - Train Accuracy:  0.756, Validation Accuracy:  0.753, Loss:  0.409
Epoch   5 Batch  165/269 - Train Accuracy:  0.743, Validation Accuracy:  0.754, Loss:  0.415
Epoch   5 Batch  166/269 - Train Accuracy:  0.759, Validation Accuracy:  0.750, Loss:  0.386
Epoch   5 Batch  167/269 - Train Accuracy:  0.753, Validation Accuracy:  0.755, Loss:  0.404
Epoch   5 Batch  168/269 - Train Accuracy:  0.751, Validation Accuracy:  0.754, Loss:  0.421
Epoch   5 Batch  169/269 - Train Accuracy:  0.753, Validation Accuracy:  0.751, Loss:  0.412
Epoch   5 Batch  170/269 - Train Accuracy:  0.751, Validation Accuracy:  0.751, Loss:  0.407
Epoch   5 Batch  171/269 - Train Accuracy:  0.761, Validation Accuracy:  0.749, Loss:  0.425
Epoch   5 Batch  172/269 - Train Accuracy:  0.755, Validation Accuracy:  0.748, Loss:  0.414
Epoch   5 Batch  173/269 - Train Accuracy:  0.752, Validation Accuracy:  0.751, Loss:  0.398
Epoch   5 Batch  174/269 - Train Accuracy:  0.753, Validation Accuracy:  0.751, Loss:  0.409
Epoch   5 Batch  175/269 - Train Accuracy:  0.748, Validation Accuracy:  0.751, Loss:  0.417
Epoch   5 Batch  176/269 - Train Accuracy:  0.737, Validation Accuracy:  0.757, Loss:  0.423
Epoch   5 Batch  177/269 - Train Accuracy:  0.759, Validation Accuracy:  0.756, Loss:  0.384
Epoch   5 Batch  178/269 - Train Accuracy:  0.748, Validation Accuracy:  0.756, Loss:  0.410
Epoch   5 Batch  179/269 - Train Accuracy:  0.742, Validation Accuracy:  0.753, Loss:  0.410
Epoch   5 Batch  180/269 - Train Accuracy:  0.762, Validation Accuracy:  0.753, Loss:  0.398
Epoch   5 Batch  181/269 - Train Accuracy:  0.747, Validation Accuracy:  0.752, Loss:  0.407
Epoch   5 Batch  182/269 - Train Accuracy:  0.751, Validation Accuracy:  0.752, Loss:  0.403
Epoch   5 Batch  183/269 - Train Accuracy:  0.785, Validation Accuracy:  0.753, Loss:  0.352
Epoch   5 Batch  184/269 - Train Accuracy:  0.744, Validation Accuracy:  0.753, Loss:  0.420
Epoch   5 Batch  185/269 - Train Accuracy:  0.763, Validation Accuracy:  0.754, Loss:  0.392
Epoch   5 Batch  186/269 - Train Accuracy:  0.739, Validation Accuracy:  0.751, Loss:  0.405
Epoch   5 Batch  187/269 - Train Accuracy:  0.760, Validation Accuracy:  0.749, Loss:  0.389
Epoch   5 Batch  188/269 - Train Accuracy:  0.760, Validation Accuracy:  0.752, Loss:  0.388
Epoch   5 Batch  189/269 - Train Accuracy:  0.756, Validation Accuracy:  0.754, Loss:  0.392
Epoch   5 Batch  190/269 - Train Accuracy:  0.745, Validation Accuracy:  0.753, Loss:  0.395
Epoch   5 Batch  191/269 - Train Accuracy:  0.754, Validation Accuracy:  0.754, Loss:  0.396
Epoch   5 Batch  192/269 - Train Accuracy:  0.755, Validation Accuracy:  0.752, Loss:  0.403
Epoch   5 Batch  193/269 - Train Accuracy:  0.762, Validation Accuracy:  0.753, Loss:  0.392
Epoch   5 Batch  194/269 - Train Accuracy:  0.751, Validation Accuracy:  0.753, Loss:  0.400
Epoch   5 Batch  195/269 - Train Accuracy:  0.741, Validation Accuracy:  0.749, Loss:  0.397
Epoch   5 Batch  196/269 - Train Accuracy:  0.754, Validation Accuracy:  0.753, Loss:  0.394
Epoch   5 Batch  197/269 - Train Accuracy:  0.746, Validation Accuracy:  0.751, Loss:  0.419
Epoch   5 Batch  198/269 - Train Accuracy:  0.758, Validation Accuracy:  0.755, Loss:  0.422
Epoch   5 Batch  199/269 - Train Accuracy:  0.748, Validation Accuracy:  0.754, Loss:  0.406
Epoch   5 Batch  200/269 - Train Accuracy:  0.749, Validation Accuracy:  0.755, Loss:  0.415
Epoch   5 Batch  201/269 - Train Accuracy:  0.752, Validation Accuracy:  0.747, Loss:  0.395
Epoch   5 Batch  202/269 - Train Accuracy:  0.741, Validation Accuracy:  0.749, Loss:  0.395
Epoch   5 Batch  203/269 - Train Accuracy:  0.750, Validation Accuracy:  0.756, Loss:  0.424
Epoch   5 Batch  204/269 - Train Accuracy:  0.761, Validation Accuracy:  0.757, Loss:  0.414
Epoch   5 Batch  205/269 - Train Accuracy:  0.773, Validation Accuracy:  0.758, Loss:  0.388
Epoch   5 Batch  206/269 - Train Accuracy:  0.727, Validation Accuracy:  0.757, Loss:  0.418
Epoch   5 Batch  207/269 - Train Accuracy:  0.759, Validation Accuracy:  0.759, Loss:  0.385
Epoch   5 Batch  208/269 - Train Accuracy:  0.751, Validation Accuracy:  0.755, Loss:  0.412
Epoch   5 Batch  209/269 - Train Accuracy:  0.759, Validation Accuracy:  0.755, Loss:  0.400
Epoch   5 Batch  210/269 - Train Accuracy:  0.765, Validation Accuracy:  0.758, Loss:  0.390
Epoch   5 Batch  211/269 - Train Accuracy:  0.751, Validation Accuracy:  0.759, Loss:  0.391
Epoch   5 Batch  212/269 - Train Accuracy:  0.755, Validation Accuracy:  0.760, Loss:  0.390
Epoch   5 Batch  213/269 - Train Accuracy:  0.763, Validation Accuracy:  0.762, Loss:  0.385
Epoch   5 Batch  214/269 - Train Accuracy:  0.765, Validation Accuracy:  0.764, Loss:  0.395
Epoch   5 Batch  215/269 - Train Accuracy:  0.794, Validation Accuracy:  0.764, Loss:  0.366
Epoch   5 Batch  216/269 - Train Accuracy:  0.737, Validation Accuracy:  0.761, Loss:  0.420
Epoch   5 Batch  217/269 - Train Accuracy:  0.735, Validation Accuracy:  0.760, Loss:  0.409
Epoch   5 Batch  218/269 - Train Accuracy:  0.763, Validation Accuracy:  0.759, Loss:  0.409
Epoch   5 Batch  219/269 - Train Accuracy:  0.763, Validation Accuracy:  0.759, Loss:  0.409
Epoch   5 Batch  220/269 - Train Accuracy:  0.759, Validation Accuracy:  0.760, Loss:  0.369
Epoch   5 Batch  221/269 - Train Accuracy:  0.774, Validation Accuracy:  0.764, Loss:  0.388
Epoch   5 Batch  222/269 - Train Accuracy:  0.785, Validation Accuracy:  0.768, Loss:  0.379
Epoch   5 Batch  223/269 - Train Accuracy:  0.742, Validation Accuracy:  0.772, Loss:  0.381
Epoch   5 Batch  224/269 - Train Accuracy:  0.773, Validation Accuracy:  0.775, Loss:  0.407
Epoch   5 Batch  225/269 - Train Accuracy:  0.742, Validation Accuracy:  0.770, Loss:  0.394
Epoch   5 Batch  226/269 - Train Accuracy:  0.767, Validation Accuracy:  0.771, Loss:  0.389
Epoch   5 Batch  227/269 - Train Accuracy:  0.795, Validation Accuracy:  0.773, Loss:  0.366
Epoch   5 Batch  228/269 - Train Accuracy:  0.759, Validation Accuracy:  0.769, Loss:  0.390
Epoch   5 Batch  229/269 - Train Accuracy:  0.772, Validation Accuracy:  0.767, Loss:  0.384
Epoch   5 Batch  230/269 - Train Accuracy:  0.768, Validation Accuracy:  0.768, Loss:  0.384
Epoch   5 Batch  231/269 - Train Accuracy:  0.762, Validation Accuracy:  0.767, Loss:  0.404
Epoch   5 Batch  232/269 - Train Accuracy:  0.755, Validation Accuracy:  0.764, Loss:  0.400
Epoch   5 Batch  233/269 - Train Accuracy:  0.774, Validation Accuracy:  0.763, Loss:  0.396
Epoch   5 Batch  234/269 - Train Accuracy:  0.749, Validation Accuracy:  0.763, Loss:  0.384
Epoch   5 Batch  235/269 - Train Accuracy:  0.768, Validation Accuracy:  0.760, Loss:  0.376
Epoch   5 Batch  236/269 - Train Accuracy:  0.762, Validation Accuracy:  0.763, Loss:  0.377
Epoch   5 Batch  237/269 - Train Accuracy:  0.785, Validation Accuracy:  0.767, Loss:  0.377
Epoch   5 Batch  238/269 - Train Accuracy:  0.788, Validation Accuracy:  0.763, Loss:  0.381
Epoch   5 Batch  239/269 - Train Accuracy:  0.761, Validation Accuracy:  0.762, Loss:  0.380
Epoch   5 Batch  240/269 - Train Accuracy:  0.787, Validation Accuracy:  0.767, Loss:  0.358
Epoch   5 Batch  241/269 - Train Accuracy:  0.762, Validation Accuracy:  0.762, Loss:  0.401
Epoch   5 Batch  242/269 - Train Accuracy:  0.769, Validation Accuracy:  0.764, Loss:  0.373
Epoch   5 Batch  243/269 - Train Accuracy:  0.758, Validation Accuracy:  0.762, Loss:  0.371
Epoch   5 Batch  244/269 - Train Accuracy:  0.777, Validation Accuracy:  0.762, Loss:  0.377
Epoch   5 Batch  245/269 - Train Accuracy:  0.743, Validation Accuracy:  0.762, Loss:  0.400
Epoch   5 Batch  246/269 - Train Accuracy:  0.750, Validation Accuracy:  0.762, Loss:  0.379
Epoch   5 Batch  247/269 - Train Accuracy:  0.755, Validation Accuracy:  0.759, Loss:  0.394
Epoch   5 Batch  248/269 - Train Accuracy:  0.770, Validation Accuracy:  0.760, Loss:  0.374
Epoch   5 Batch  249/269 - Train Accuracy:  0.784, Validation Accuracy:  0.760, Loss:  0.361
Epoch   5 Batch  250/269 - Train Accuracy:  0.775, Validation Accuracy:  0.759, Loss:  0.390
Epoch   5 Batch  251/269 - Train Accuracy:  0.780, Validation Accuracy:  0.761, Loss:  0.364
Epoch   5 Batch  252/269 - Train Accuracy:  0.767, Validation Accuracy:  0.761, Loss:  0.381
Epoch   5 Batch  253/269 - Train Accuracy:  0.753, Validation Accuracy:  0.755, Loss:  0.389
Epoch   5 Batch  254/269 - Train Accuracy:  0.773, Validation Accuracy:  0.755, Loss:  0.370
Epoch   5 Batch  255/269 - Train Accuracy:  0.772, Validation Accuracy:  0.758, Loss:  0.376
Epoch   5 Batch  256/269 - Train Accuracy:  0.750, Validation Accuracy:  0.758, Loss:  0.386
Epoch   5 Batch  257/269 - Train Accuracy:  0.763, Validation Accuracy:  0.756, Loss:  0.387
Epoch   5 Batch  258/269 - Train Accuracy:  0.769, Validation Accuracy:  0.754, Loss:  0.379
Epoch   5 Batch  259/269 - Train Accuracy:  0.777, Validation Accuracy:  0.759, Loss:  0.379
Epoch   5 Batch  260/269 - Train Accuracy:  0.749, Validation Accuracy:  0.761, Loss:  0.397
Epoch   5 Batch  261/269 - Train Accuracy:  0.757, Validation Accuracy:  0.768, Loss:  0.396
Epoch   5 Batch  262/269 - Train Accuracy:  0.773, Validation Accuracy:  0.771, Loss:  0.383
Epoch   5 Batch  263/269 - Train Accuracy:  0.769, Validation Accuracy:  0.769, Loss:  0.394
Epoch   5 Batch  264/269 - Train Accuracy:  0.757, Validation Accuracy:  0.771, Loss:  0.396
Epoch   5 Batch  265/269 - Train Accuracy:  0.776, Validation Accuracy:  0.767, Loss:  0.383
Epoch   5 Batch  266/269 - Train Accuracy:  0.781, Validation Accuracy:  0.768, Loss:  0.367
Epoch   5 Batch  267/269 - Train Accuracy:  0.766, Validation Accuracy:  0.767, Loss:  0.387
Epoch   6 Batch    0/269 - Train Accuracy:  0.770, Validation Accuracy:  0.767, Loss:  0.404
Epoch   6 Batch    1/269 - Train Accuracy:  0.772, Validation Accuracy:  0.768, Loss:  0.385
Epoch   6 Batch    2/269 - Train Accuracy:  0.777, Validation Accuracy:  0.771, Loss:  0.377
Epoch   6 Batch    3/269 - Train Accuracy:  0.770, Validation Accuracy:  0.770, Loss:  0.379
Epoch   6 Batch    4/269 - Train Accuracy:  0.739, Validation Accuracy:  0.771, Loss:  0.389
Epoch   6 Batch    5/269 - Train Accuracy:  0.743, Validation Accuracy:  0.773, Loss:  0.385
Epoch   6 Batch    6/269 - Train Accuracy:  0.788, Validation Accuracy:  0.774, Loss:  0.364
Epoch   6 Batch    7/269 - Train Accuracy:  0.763, Validation Accuracy:  0.778, Loss:  0.363
Epoch   6 Batch    8/269 - Train Accuracy:  0.759, Validation Accuracy:  0.778, Loss:  0.386
Epoch   6 Batch    9/269 - Train Accuracy:  0.772, Validation Accuracy:  0.772, Loss:  0.382
Epoch   6 Batch   10/269 - Train Accuracy:  0.764, Validation Accuracy:  0.773, Loss:  0.384
Epoch   6 Batch   11/269 - Train Accuracy:  0.778, Validation Accuracy:  0.772, Loss:  0.385
Epoch   6 Batch   12/269 - Train Accuracy:  0.756, Validation Accuracy:  0.769, Loss:  0.396
Epoch   6 Batch   13/269 - Train Accuracy:  0.766, Validation Accuracy:  0.768, Loss:  0.348
Epoch   6 Batch   14/269 - Train Accuracy:  0.763, Validation Accuracy:  0.766, Loss:  0.370
Epoch   6 Batch   15/269 - Train Accuracy:  0.752, Validation Accuracy:  0.769, Loss:  0.359
Epoch   6 Batch   16/269 - Train Accuracy:  0.765, Validation Accuracy:  0.770, Loss:  0.382
Epoch   6 Batch   17/269 - Train Accuracy:  0.780, Validation Accuracy:  0.764, Loss:  0.363
Epoch   6 Batch   18/269 - Train Accuracy:  0.749, Validation Accuracy:  0.769, Loss:  0.378
Epoch   6 Batch   19/269 - Train Accuracy:  0.772, Validation Accuracy:  0.773, Loss:  0.350
Epoch   6 Batch   20/269 - Train Accuracy:  0.779, Validation Accuracy:  0.770, Loss:  0.379
Epoch   6 Batch   21/269 - Train Accuracy:  0.740, Validation Accuracy:  0.770, Loss:  0.400
Epoch   6 Batch   22/269 - Train Accuracy:  0.776, Validation Accuracy:  0.770, Loss:  0.360
Epoch   6 Batch   23/269 - Train Accuracy:  0.777, Validation Accuracy:  0.769, Loss:  0.372
Epoch   6 Batch   24/269 - Train Accuracy:  0.768, Validation Accuracy:  0.773, Loss:  0.382
Epoch   6 Batch   25/269 - Train Accuracy:  0.768, Validation Accuracy:  0.771, Loss:  0.395
Epoch   6 Batch   26/269 - Train Accuracy:  0.781, Validation Accuracy:  0.771, Loss:  0.349
Epoch   6 Batch   27/269 - Train Accuracy:  0.761, Validation Accuracy:  0.772, Loss:  0.368
Epoch   6 Batch   28/269 - Train Accuracy:  0.725, Validation Accuracy:  0.772, Loss:  0.395
Epoch   6 Batch   29/269 - Train Accuracy:  0.776, Validation Accuracy:  0.775, Loss:  0.382
Epoch   6 Batch   30/269 - Train Accuracy:  0.774, Validation Accuracy:  0.776, Loss:  0.361
Epoch   6 Batch   31/269 - Train Accuracy:  0.782, Validation Accuracy:  0.770, Loss:  0.364
Epoch   6 Batch   32/269 - Train Accuracy:  0.782, Validation Accuracy:  0.774, Loss:  0.368
Epoch   6 Batch   33/269 - Train Accuracy:  0.789, Validation Accuracy:  0.772, Loss:  0.350
Epoch   6 Batch   34/269 - Train Accuracy:  0.775, Validation Accuracy:  0.772, Loss:  0.360
Epoch   6 Batch   35/269 - Train Accuracy:  0.762, Validation Accuracy:  0.774, Loss:  0.382
Epoch   6 Batch   36/269 - Train Accuracy:  0.757, Validation Accuracy:  0.780, Loss:  0.370
Epoch   6 Batch   37/269 - Train Accuracy:  0.778, Validation Accuracy:  0.782, Loss:  0.370
Epoch   6 Batch   38/269 - Train Accuracy:  0.766, Validation Accuracy:  0.779, Loss:  0.372
Epoch   6 Batch   39/269 - Train Accuracy:  0.782, Validation Accuracy:  0.779, Loss:  0.359
Epoch   6 Batch   40/269 - Train Accuracy:  0.759, Validation Accuracy:  0.777, Loss:  0.379
Epoch   6 Batch   41/269 - Train Accuracy:  0.783, Validation Accuracy:  0.780, Loss:  0.371
Epoch   6 Batch   42/269 - Train Accuracy:  0.802, Validation Accuracy:  0.781, Loss:  0.345
Epoch   6 Batch   43/269 - Train Accuracy:  0.779, Validation Accuracy:  0.777, Loss:  0.372
Epoch   6 Batch   44/269 - Train Accuracy:  0.761, Validation Accuracy:  0.776, Loss:  0.368
Epoch   6 Batch   45/269 - Train Accuracy:  0.771, Validation Accuracy:  0.775, Loss:  0.376
Epoch   6 Batch   46/269 - Train Accuracy:  0.761, Validation Accuracy:  0.775, Loss:  0.380
Epoch   6 Batch   47/269 - Train Accuracy:  0.781, Validation Accuracy:  0.783, Loss:  0.337
Epoch   6 Batch   48/269 - Train Accuracy:  0.787, Validation Accuracy:  0.780, Loss:  0.353
Epoch   6 Batch   49/269 - Train Accuracy:  0.761, Validation Accuracy:  0.776, Loss:  0.371
Epoch   6 Batch   50/269 - Train Accuracy:  0.742, Validation Accuracy:  0.774, Loss:  0.380
Epoch   6 Batch   51/269 - Train Accuracy:  0.779, Validation Accuracy:  0.784, Loss:  0.363
Epoch   6 Batch   52/269 - Train Accuracy:  0.765, Validation Accuracy:  0.777, Loss:  0.342
Epoch   6 Batch   53/269 - Train Accuracy:  0.768, Validation Accuracy:  0.766, Loss:  0.380
Epoch   6 Batch   54/269 - Train Accuracy:  0.768, Validation Accuracy:  0.769, Loss:  0.376
Epoch   6 Batch   55/269 - Train Accuracy:  0.804, Validation Accuracy:  0.780, Loss:  0.354
Epoch   6 Batch   56/269 - Train Accuracy:  0.774, Validation Accuracy:  0.783, Loss:  0.365
Epoch   6 Batch   57/269 - Train Accuracy:  0.772, Validation Accuracy:  0.778, Loss:  0.372
Epoch   6 Batch   58/269 - Train Accuracy:  0.782, Validation Accuracy:  0.781, Loss:  0.354
Epoch   6 Batch   59/269 - Train Accuracy:  0.789, Validation Accuracy:  0.776, Loss:  0.344
Epoch   6 Batch   60/269 - Train Accuracy:  0.779, Validation Accuracy:  0.776, Loss:  0.341
Epoch   6 Batch   61/269 - Train Accuracy:  0.794, Validation Accuracy:  0.772, Loss:  0.331
Epoch   6 Batch   62/269 - Train Accuracy:  0.790, Validation Accuracy:  0.775, Loss:  0.347
Epoch   6 Batch   63/269 - Train Accuracy:  0.785, Validation Accuracy:  0.777, Loss:  0.369
Epoch   6 Batch   64/269 - Train Accuracy:  0.779, Validation Accuracy:  0.773, Loss:  0.349
Epoch   6 Batch   65/269 - Train Accuracy:  0.757, Validation Accuracy:  0.773, Loss:  0.358
Epoch   6 Batch   66/269 - Train Accuracy:  0.785, Validation Accuracy:  0.772, Loss:  0.354
Epoch   6 Batch   67/269 - Train Accuracy:  0.778, Validation Accuracy:  0.774, Loss:  0.369
Epoch   6 Batch   68/269 - Train Accuracy:  0.761, Validation Accuracy:  0.773, Loss:  0.362
Epoch   6 Batch   69/269 - Train Accuracy:  0.758, Validation Accuracy:  0.777, Loss:  0.401
Epoch   6 Batch   70/269 - Train Accuracy:  0.792, Validation Accuracy:  0.784, Loss:  0.362
Epoch   6 Batch   71/269 - Train Accuracy:  0.782, Validation Accuracy:  0.784, Loss:  0.378
Epoch   6 Batch   72/269 - Train Accuracy:  0.779, Validation Accuracy:  0.787, Loss:  0.362
Epoch   6 Batch   73/269 - Train Accuracy:  0.778, Validation Accuracy:  0.788, Loss:  0.371
Epoch   6 Batch   74/269 - Train Accuracy:  0.772, Validation Accuracy:  0.783, Loss:  0.359
Epoch   6 Batch   75/269 - Train Accuracy:  0.784, Validation Accuracy:  0.782, Loss:  0.349
Epoch   6 Batch   76/269 - Train Accuracy:  0.770, Validation Accuracy:  0.780, Loss:  0.356
Epoch   6 Batch   77/269 - Train Accuracy:  0.773, Validation Accuracy:  0.778, Loss:  0.348
Epoch   6 Batch   78/269 - Train Accuracy:  0.800, Validation Accuracy:  0.775, Loss:  0.359
Epoch   6 Batch   79/269 - Train Accuracy:  0.764, Validation Accuracy:  0.776, Loss:  0.351
Epoch   6 Batch   80/269 - Train Accuracy:  0.773, Validation Accuracy:  0.779, Loss:  0.353
Epoch   6 Batch   81/269 - Train Accuracy:  0.773, Validation Accuracy:  0.777, Loss:  0.370
Epoch   6 Batch   82/269 - Train Accuracy:  0.790, Validation Accuracy:  0.776, Loss:  0.340
Epoch   6 Batch   83/269 - Train Accuracy:  0.774, Validation Accuracy:  0.774, Loss:  0.356
Epoch   6 Batch   84/269 - Train Accuracy:  0.776, Validation Accuracy:  0.770, Loss:  0.351
Epoch   6 Batch   85/269 - Train Accuracy:  0.798, Validation Accuracy:  0.770, Loss:  0.351
Epoch   6 Batch   86/269 - Train Accuracy:  0.785, Validation Accuracy:  0.770, Loss:  0.348
Epoch   6 Batch   87/269 - Train Accuracy:  0.758, Validation Accuracy:  0.773, Loss:  0.373
Epoch   6 Batch   88/269 - Train Accuracy:  0.767, Validation Accuracy:  0.774, Loss:  0.361
Epoch   6 Batch   89/269 - Train Accuracy:  0.784, Validation Accuracy:  0.774, Loss:  0.358
Epoch   6 Batch   90/269 - Train Accuracy:  0.747, Validation Accuracy:  0.770, Loss:  0.364
Epoch   6 Batch   91/269 - Train Accuracy:  0.817, Validation Accuracy:  0.768, Loss:  0.345
Epoch   6 Batch   92/269 - Train Accuracy:  0.801, Validation Accuracy:  0.764, Loss:  0.346
Epoch   6 Batch   93/269 - Train Accuracy:  0.784, Validation Accuracy:  0.765, Loss:  0.344
Epoch   6 Batch   94/269 - Train Accuracy:  0.775, Validation Accuracy:  0.767, Loss:  0.362
Epoch   6 Batch   95/269 - Train Accuracy:  0.785, Validation Accuracy:  0.773, Loss:  0.347
Epoch   6 Batch   96/269 - Train Accuracy:  0.777, Validation Accuracy:  0.778, Loss:  0.348
Epoch   6 Batch   97/269 - Train Accuracy:  0.788, Validation Accuracy:  0.782, Loss:  0.347
Epoch   6 Batch   98/269 - Train Accuracy:  0.786, Validation Accuracy:  0.782, Loss:  0.353
Epoch   6 Batch   99/269 - Train Accuracy:  0.760, Validation Accuracy:  0.779, Loss:  0.362
Epoch   6 Batch  100/269 - Train Accuracy:  0.790, Validation Accuracy:  0.779, Loss:  0.345
Epoch   6 Batch  101/269 - Train Accuracy:  0.753, Validation Accuracy:  0.777, Loss:  0.376
Epoch   6 Batch  102/269 - Train Accuracy:  0.769, Validation Accuracy:  0.772, Loss:  0.349
Epoch   6 Batch  103/269 - Train Accuracy:  0.786, Validation Accuracy:  0.771, Loss:  0.354
Epoch   6 Batch  104/269 - Train Accuracy:  0.778, Validation Accuracy:  0.774, Loss:  0.341
Epoch   6 Batch  105/269 - Train Accuracy:  0.780, Validation Accuracy:  0.779, Loss:  0.341
Epoch   6 Batch  106/269 - Train Accuracy:  0.791, Validation Accuracy:  0.782, Loss:  0.343
Epoch   6 Batch  107/269 - Train Accuracy:  0.779, Validation Accuracy:  0.785, Loss:  0.370
Epoch   6 Batch  108/269 - Train Accuracy:  0.780, Validation Accuracy:  0.785, Loss:  0.348
Epoch   6 Batch  109/269 - Train Accuracy:  0.776, Validation Accuracy:  0.785, Loss:  0.347
Epoch   6 Batch  110/269 - Train Accuracy:  0.787, Validation Accuracy:  0.786, Loss:  0.346
Epoch   6 Batch  111/269 - Train Accuracy:  0.780, Validation Accuracy:  0.782, Loss:  0.373
Epoch   6 Batch  112/269 - Train Accuracy:  0.788, Validation Accuracy:  0.784, Loss:  0.344
Epoch   6 Batch  113/269 - Train Accuracy:  0.786, Validation Accuracy:  0.788, Loss:  0.336
Epoch   6 Batch  114/269 - Train Accuracy:  0.796, Validation Accuracy:  0.784, Loss:  0.347
Epoch   6 Batch  115/269 - Train Accuracy:  0.771, Validation Accuracy:  0.787, Loss:  0.358
Epoch   6 Batch  116/269 - Train Accuracy:  0.796, Validation Accuracy:  0.784, Loss:  0.363
Epoch   6 Batch  117/269 - Train Accuracy:  0.796, Validation Accuracy:  0.781, Loss:  0.340
Epoch   6 Batch  118/269 - Train Accuracy:  0.810, Validation Accuracy:  0.779, Loss:  0.338
Epoch   6 Batch  119/269 - Train Accuracy:  0.768, Validation Accuracy:  0.780, Loss:  0.367
Epoch   6 Batch  120/269 - Train Accuracy:  0.789, Validation Accuracy:  0.782, Loss:  0.353
Epoch   6 Batch  121/269 - Train Accuracy:  0.786, Validation Accuracy:  0.778, Loss:  0.338
Epoch   6 Batch  122/269 - Train Accuracy:  0.782, Validation Accuracy:  0.779, Loss:  0.345
Epoch   6 Batch  123/269 - Train Accuracy:  0.794, Validation Accuracy:  0.781, Loss:  0.366
Epoch   6 Batch  124/269 - Train Accuracy:  0.794, Validation Accuracy:  0.784, Loss:  0.331
Epoch   6 Batch  125/269 - Train Accuracy:  0.793, Validation Accuracy:  0.783, Loss:  0.331
Epoch   6 Batch  126/269 - Train Accuracy:  0.772, Validation Accuracy:  0.786, Loss:  0.336
Epoch   6 Batch  127/269 - Train Accuracy:  0.782, Validation Accuracy:  0.784, Loss:  0.358
Epoch   6 Batch  128/269 - Train Accuracy:  0.795, Validation Accuracy:  0.786, Loss:  0.346
Epoch   6 Batch  129/269 - Train Accuracy:  0.784, Validation Accuracy:  0.785, Loss:  0.336
Epoch   6 Batch  130/269 - Train Accuracy:  0.776, Validation Accuracy:  0.785, Loss:  0.359
Epoch   6 Batch  131/269 - Train Accuracy:  0.777, Validation Accuracy:  0.788, Loss:  0.353
Epoch   6 Batch  132/269 - Train Accuracy:  0.780, Validation Accuracy:  0.787, Loss:  0.344
Epoch   6 Batch  133/269 - Train Accuracy:  0.806, Validation Accuracy:  0.786, Loss:  0.330
Epoch   6 Batch  134/269 - Train Accuracy:  0.769, Validation Accuracy:  0.788, Loss:  0.351
Epoch   6 Batch  135/269 - Train Accuracy:  0.775, Validation Accuracy:  0.788, Loss:  0.367
Epoch   6 Batch  136/269 - Train Accuracy:  0.763, Validation Accuracy:  0.787, Loss:  0.368
Epoch   6 Batch  137/269 - Train Accuracy:  0.776, Validation Accuracy:  0.787, Loss:  0.357
Epoch   6 Batch  138/269 - Train Accuracy:  0.780, Validation Accuracy:  0.786, Loss:  0.351
Epoch   6 Batch  139/269 - Train Accuracy:  0.797, Validation Accuracy:  0.788, Loss:  0.326
Epoch   6 Batch  140/269 - Train Accuracy:  0.788, Validation Accuracy:  0.788, Loss:  0.353
Epoch   6 Batch  141/269 - Train Accuracy:  0.793, Validation Accuracy:  0.787, Loss:  0.352
Epoch   6 Batch  142/269 - Train Accuracy:  0.779, Validation Accuracy:  0.786, Loss:  0.340
Epoch   6 Batch  143/269 - Train Accuracy:  0.789, Validation Accuracy:  0.792, Loss:  0.337
Epoch   6 Batch  144/269 - Train Accuracy:  0.807, Validation Accuracy:  0.793, Loss:  0.323
Epoch   6 Batch  145/269 - Train Accuracy:  0.788, Validation Accuracy:  0.791, Loss:  0.338
Epoch   6 Batch  146/269 - Train Accuracy:  0.779, Validation Accuracy:  0.793, Loss:  0.335
Epoch   6 Batch  147/269 - Train Accuracy:  0.809, Validation Accuracy:  0.789, Loss:  0.328
Epoch   6 Batch  148/269 - Train Accuracy:  0.785, Validation Accuracy:  0.788, Loss:  0.341
Epoch   6 Batch  149/269 - Train Accuracy:  0.775, Validation Accuracy:  0.788, Loss:  0.348
Epoch   6 Batch  150/269 - Train Accuracy:  0.787, Validation Accuracy:  0.787, Loss:  0.337
Epoch   6 Batch  151/269 - Train Accuracy:  0.794, Validation Accuracy:  0.788, Loss:  0.325
Epoch   6 Batch  152/269 - Train Accuracy:  0.795, Validation Accuracy:  0.791, Loss:  0.340
Epoch   6 Batch  153/269 - Train Accuracy:  0.800, Validation Accuracy:  0.792, Loss:  0.337
Epoch   6 Batch  154/269 - Train Accuracy:  0.806, Validation Accuracy:  0.791, Loss:  0.348
Epoch   6 Batch  155/269 - Train Accuracy:  0.795, Validation Accuracy:  0.792, Loss:  0.323
Epoch   6 Batch  156/269 - Train Accuracy:  0.778, Validation Accuracy:  0.791, Loss:  0.351
Epoch   6 Batch  157/269 - Train Accuracy:  0.797, Validation Accuracy:  0.790, Loss:  0.322
Epoch   6 Batch  158/269 - Train Accuracy:  0.795, Validation Accuracy:  0.794, Loss:  0.333
Epoch   6 Batch  159/269 - Train Accuracy:  0.783, Validation Accuracy:  0.798, Loss:  0.341
Epoch   6 Batch  160/269 - Train Accuracy:  0.792, Validation Accuracy:  0.799, Loss:  0.335
Epoch   6 Batch  161/269 - Train Accuracy:  0.769, Validation Accuracy:  0.796, Loss:  0.339
Epoch   6 Batch  162/269 - Train Accuracy:  0.809, Validation Accuracy:  0.793, Loss:  0.330
Epoch   6 Batch  163/269 - Train Accuracy:  0.787, Validation Accuracy:  0.792, Loss:  0.329
Epoch   6 Batch  164/269 - Train Accuracy:  0.794, Validation Accuracy:  0.794, Loss:  0.333
Epoch   6 Batch  165/269 - Train Accuracy:  0.791, Validation Accuracy:  0.794, Loss:  0.338
Epoch   6 Batch  166/269 - Train Accuracy:  0.797, Validation Accuracy:  0.793, Loss:  0.320
Epoch   6 Batch  167/269 - Train Accuracy:  0.809, Validation Accuracy:  0.794, Loss:  0.335
Epoch   6 Batch  168/269 - Train Accuracy:  0.801, Validation Accuracy:  0.795, Loss:  0.340
Epoch   6 Batch  169/269 - Train Accuracy:  0.804, Validation Accuracy:  0.798, Loss:  0.336
Epoch   6 Batch  170/269 - Train Accuracy:  0.791, Validation Accuracy:  0.798, Loss:  0.333
Epoch   6 Batch  171/269 - Train Accuracy:  0.819, Validation Accuracy:  0.797, Loss:  0.340
Epoch   6 Batch  172/269 - Train Accuracy:  0.795, Validation Accuracy:  0.799, Loss:  0.342
Epoch   6 Batch  173/269 - Train Accuracy:  0.809, Validation Accuracy:  0.798, Loss:  0.323
Epoch   6 Batch  174/269 - Train Accuracy:  0.812, Validation Accuracy:  0.800, Loss:  0.334
Epoch   6 Batch  175/269 - Train Accuracy:  0.804, Validation Accuracy:  0.795, Loss:  0.347
Epoch   6 Batch  176/269 - Train Accuracy:  0.790, Validation Accuracy:  0.794, Loss:  0.351
Epoch   6 Batch  177/269 - Train Accuracy:  0.802, Validation Accuracy:  0.791, Loss:  0.323
Epoch   6 Batch  178/269 - Train Accuracy:  0.811, Validation Accuracy:  0.794, Loss:  0.336
Epoch   6 Batch  179/269 - Train Accuracy:  0.790, Validation Accuracy:  0.798, Loss:  0.335
Epoch   6 Batch  180/269 - Train Accuracy:  0.807, Validation Accuracy:  0.797, Loss:  0.329
Epoch   6 Batch  181/269 - Train Accuracy:  0.794, Validation Accuracy:  0.800, Loss:  0.329
Epoch   6 Batch  182/269 - Train Accuracy:  0.806, Validation Accuracy:  0.800, Loss:  0.333
Epoch   6 Batch  183/269 - Train Accuracy:  0.822, Validation Accuracy:  0.797, Loss:  0.285
Epoch   6 Batch  184/269 - Train Accuracy:  0.792, Validation Accuracy:  0.793, Loss:  0.339
Epoch   6 Batch  185/269 - Train Accuracy:  0.799, Validation Accuracy:  0.794, Loss:  0.329
Epoch   6 Batch  186/269 - Train Accuracy:  0.777, Validation Accuracy:  0.795, Loss:  0.342
Epoch   6 Batch  187/269 - Train Accuracy:  0.797, Validation Accuracy:  0.798, Loss:  0.315
Epoch   6 Batch  188/269 - Train Accuracy:  0.808, Validation Accuracy:  0.802, Loss:  0.322
Epoch   6 Batch  189/269 - Train Accuracy:  0.797, Validation Accuracy:  0.802, Loss:  0.322
Epoch   6 Batch  190/269 - Train Accuracy:  0.822, Validation Accuracy:  0.802, Loss:  0.322
Epoch   6 Batch  191/269 - Train Accuracy:  0.800, Validation Accuracy:  0.798, Loss:  0.323
Epoch   6 Batch  192/269 - Train Accuracy:  0.800, Validation Accuracy:  0.799, Loss:  0.331
Epoch   6 Batch  193/269 - Train Accuracy:  0.809, Validation Accuracy:  0.802, Loss:  0.323
Epoch   6 Batch  194/269 - Train Accuracy:  0.794, Validation Accuracy:  0.799, Loss:  0.329
Epoch   6 Batch  195/269 - Train Accuracy:  0.799, Validation Accuracy:  0.799, Loss:  0.325
Epoch   6 Batch  196/269 - Train Accuracy:  0.803, Validation Accuracy:  0.800, Loss:  0.313
Epoch   6 Batch  197/269 - Train Accuracy:  0.796, Validation Accuracy:  0.801, Loss:  0.337
Epoch   6 Batch  198/269 - Train Accuracy:  0.793, Validation Accuracy:  0.800, Loss:  0.342
Epoch   6 Batch  199/269 - Train Accuracy:  0.800, Validation Accuracy:  0.801, Loss:  0.332
Epoch   6 Batch  200/269 - Train Accuracy:  0.795, Validation Accuracy:  0.802, Loss:  0.339
Epoch   6 Batch  201/269 - Train Accuracy:  0.811, Validation Accuracy:  0.795, Loss:  0.324
Epoch   6 Batch  202/269 - Train Accuracy:  0.791, Validation Accuracy:  0.800, Loss:  0.324
Epoch   6 Batch  203/269 - Train Accuracy:  0.800, Validation Accuracy:  0.800, Loss:  0.354
Epoch   6 Batch  204/269 - Train Accuracy:  0.812, Validation Accuracy:  0.797, Loss:  0.339
Epoch   6 Batch  205/269 - Train Accuracy:  0.812, Validation Accuracy:  0.799, Loss:  0.319
Epoch   6 Batch  206/269 - Train Accuracy:  0.781, Validation Accuracy:  0.802, Loss:  0.349
Epoch   6 Batch  207/269 - Train Accuracy:  0.814, Validation Accuracy:  0.805, Loss:  0.319
Epoch   6 Batch  208/269 - Train Accuracy:  0.819, Validation Accuracy:  0.801, Loss:  0.336
Epoch   6 Batch  209/269 - Train Accuracy:  0.821, Validation Accuracy:  0.802, Loss:  0.329
Epoch   6 Batch  210/269 - Train Accuracy:  0.804, Validation Accuracy:  0.806, Loss:  0.320
Epoch   6 Batch  211/269 - Train Accuracy:  0.805, Validation Accuracy:  0.809, Loss:  0.326
Epoch   6 Batch  212/269 - Train Accuracy:  0.805, Validation Accuracy:  0.807, Loss:  0.321
Epoch   6 Batch  213/269 - Train Accuracy:  0.813, Validation Accuracy:  0.808, Loss:  0.319
Epoch   6 Batch  214/269 - Train Accuracy:  0.805, Validation Accuracy:  0.813, Loss:  0.324
Epoch   6 Batch  215/269 - Train Accuracy:  0.823, Validation Accuracy:  0.805, Loss:  0.306
Epoch   6 Batch  216/269 - Train Accuracy:  0.783, Validation Accuracy:  0.807, Loss:  0.344
Epoch   6 Batch  217/269 - Train Accuracy:  0.790, Validation Accuracy:  0.808, Loss:  0.335
Epoch   6 Batch  218/269 - Train Accuracy:  0.823, Validation Accuracy:  0.807, Loss:  0.330
Epoch   6 Batch  219/269 - Train Accuracy:  0.808, Validation Accuracy:  0.807, Loss:  0.342
Epoch   6 Batch  220/269 - Train Accuracy:  0.821, Validation Accuracy:  0.805, Loss:  0.303
Epoch   6 Batch  221/269 - Train Accuracy:  0.820, Validation Accuracy:  0.808, Loss:  0.328
Epoch   6 Batch  222/269 - Train Accuracy:  0.847, Validation Accuracy:  0.809, Loss:  0.310
Epoch   6 Batch  223/269 - Train Accuracy:  0.810, Validation Accuracy:  0.812, Loss:  0.312
Epoch   6 Batch  224/269 - Train Accuracy:  0.815, Validation Accuracy:  0.814, Loss:  0.336
Epoch   6 Batch  225/269 - Train Accuracy:  0.800, Validation Accuracy:  0.813, Loss:  0.329
Epoch   6 Batch  226/269 - Train Accuracy:  0.819, Validation Accuracy:  0.812, Loss:  0.326
Epoch   6 Batch  227/269 - Train Accuracy:  0.835, Validation Accuracy:  0.810, Loss:  0.293
Epoch   6 Batch  228/269 - Train Accuracy:  0.799, Validation Accuracy:  0.811, Loss:  0.326
Epoch   6 Batch  229/269 - Train Accuracy:  0.810, Validation Accuracy:  0.809, Loss:  0.327
Epoch   6 Batch  230/269 - Train Accuracy:  0.819, Validation Accuracy:  0.809, Loss:  0.312
Epoch   6 Batch  231/269 - Train Accuracy:  0.801, Validation Accuracy:  0.807, Loss:  0.331
Epoch   6 Batch  232/269 - Train Accuracy:  0.797, Validation Accuracy:  0.809, Loss:  0.324
Epoch   6 Batch  233/269 - Train Accuracy:  0.824, Validation Accuracy:  0.805, Loss:  0.324
Epoch   6 Batch  234/269 - Train Accuracy:  0.808, Validation Accuracy:  0.807, Loss:  0.312
Epoch   6 Batch  235/269 - Train Accuracy:  0.819, Validation Accuracy:  0.808, Loss:  0.312
Epoch   6 Batch  236/269 - Train Accuracy:  0.809, Validation Accuracy:  0.809, Loss:  0.314
Epoch   6 Batch  237/269 - Train Accuracy:  0.823, Validation Accuracy:  0.809, Loss:  0.316
Epoch   6 Batch  238/269 - Train Accuracy:  0.834, Validation Accuracy:  0.815, Loss:  0.318
Epoch   6 Batch  239/269 - Train Accuracy:  0.827, Validation Accuracy:  0.815, Loss:  0.309
Epoch   6 Batch  240/269 - Train Accuracy:  0.829, Validation Accuracy:  0.816, Loss:  0.297
Epoch   6 Batch  241/269 - Train Accuracy:  0.809, Validation Accuracy:  0.813, Loss:  0.337
Epoch   6 Batch  242/269 - Train Accuracy:  0.826, Validation Accuracy:  0.808, Loss:  0.309
Epoch   6 Batch  243/269 - Train Accuracy:  0.821, Validation Accuracy:  0.807, Loss:  0.308
Epoch   6 Batch  244/269 - Train Accuracy:  0.812, Validation Accuracy:  0.806, Loss:  0.316
Epoch   6 Batch  245/269 - Train Accuracy:  0.794, Validation Accuracy:  0.804, Loss:  0.334
Epoch   6 Batch  246/269 - Train Accuracy:  0.790, Validation Accuracy:  0.802, Loss:  0.317
Epoch   6 Batch  247/269 - Train Accuracy:  0.808, Validation Accuracy:  0.805, Loss:  0.322
Epoch   6 Batch  248/269 - Train Accuracy:  0.815, Validation Accuracy:  0.802, Loss:  0.306
Epoch   6 Batch  249/269 - Train Accuracy:  0.835, Validation Accuracy:  0.803, Loss:  0.293
Epoch   6 Batch  250/269 - Train Accuracy:  0.820, Validation Accuracy:  0.804, Loss:  0.326
Epoch   6 Batch  251/269 - Train Accuracy:  0.842, Validation Accuracy:  0.803, Loss:  0.307
Epoch   6 Batch  252/269 - Train Accuracy:  0.815, Validation Accuracy:  0.806, Loss:  0.306
Epoch   6 Batch  253/269 - Train Accuracy:  0.790, Validation Accuracy:  0.809, Loss:  0.320
Epoch   6 Batch  254/269 - Train Accuracy:  0.821, Validation Accuracy:  0.810, Loss:  0.312
Epoch   6 Batch  255/269 - Train Accuracy:  0.822, Validation Accuracy:  0.812, Loss:  0.308
Epoch   6 Batch  256/269 - Train Accuracy:  0.805, Validation Accuracy:  0.809, Loss:  0.315
Epoch   6 Batch  257/269 - Train Accuracy:  0.821, Validation Accuracy:  0.813, Loss:  0.323
Epoch   6 Batch  258/269 - Train Accuracy:  0.833, Validation Accuracy:  0.815, Loss:  0.321
Epoch   6 Batch  259/269 - Train Accuracy:  0.832, Validation Accuracy:  0.814, Loss:  0.318
Epoch   6 Batch  260/269 - Train Accuracy:  0.802, Validation Accuracy:  0.817, Loss:  0.327
Epoch   6 Batch  261/269 - Train Accuracy:  0.804, Validation Accuracy:  0.813, Loss:  0.324
Epoch   6 Batch  262/269 - Train Accuracy:  0.830, Validation Accuracy:  0.810, Loss:  0.311
Epoch   6 Batch  263/269 - Train Accuracy:  0.813, Validation Accuracy:  0.813, Loss:  0.322
Epoch   6 Batch  264/269 - Train Accuracy:  0.795, Validation Accuracy:  0.812, Loss:  0.332
Epoch   6 Batch  265/269 - Train Accuracy:  0.833, Validation Accuracy:  0.808, Loss:  0.312
Epoch   6 Batch  266/269 - Train Accuracy:  0.822, Validation Accuracy:  0.809, Loss:  0.308
Epoch   6 Batch  267/269 - Train Accuracy:  0.816, Validation Accuracy:  0.811, Loss:  0.322
Epoch   7 Batch    0/269 - Train Accuracy:  0.824, Validation Accuracy:  0.811, Loss:  0.329
Epoch   7 Batch    1/269 - Train Accuracy:  0.817, Validation Accuracy:  0.813, Loss:  0.325
Epoch   7 Batch    2/269 - Train Accuracy:  0.823, Validation Accuracy:  0.815, Loss:  0.317
Epoch   7 Batch    3/269 - Train Accuracy:  0.821, Validation Accuracy:  0.816, Loss:  0.322
Epoch   7 Batch    4/269 - Train Accuracy:  0.807, Validation Accuracy:  0.815, Loss:  0.320
Epoch   7 Batch    5/269 - Train Accuracy:  0.813, Validation Accuracy:  0.814, Loss:  0.319
Epoch   7 Batch    6/269 - Train Accuracy:  0.843, Validation Accuracy:  0.817, Loss:  0.301
Epoch   7 Batch    7/269 - Train Accuracy:  0.825, Validation Accuracy:  0.814, Loss:  0.312
Epoch   7 Batch    8/269 - Train Accuracy:  0.820, Validation Accuracy:  0.814, Loss:  0.319
Epoch   7 Batch    9/269 - Train Accuracy:  0.822, Validation Accuracy:  0.814, Loss:  0.318
Epoch   7 Batch   10/269 - Train Accuracy:  0.825, Validation Accuracy:  0.820, Loss:  0.313
Epoch   7 Batch   11/269 - Train Accuracy:  0.825, Validation Accuracy:  0.824, Loss:  0.317
Epoch   7 Batch   12/269 - Train Accuracy:  0.814, Validation Accuracy:  0.818, Loss:  0.334
Epoch   7 Batch   13/269 - Train Accuracy:  0.831, Validation Accuracy:  0.817, Loss:  0.286
Epoch   7 Batch   14/269 - Train Accuracy:  0.815, Validation Accuracy:  0.819, Loss:  0.304
Epoch   7 Batch   15/269 - Train Accuracy:  0.829, Validation Accuracy:  0.818, Loss:  0.291
Epoch   7 Batch   16/269 - Train Accuracy:  0.818, Validation Accuracy:  0.817, Loss:  0.312
Epoch   7 Batch   17/269 - Train Accuracy:  0.827, Validation Accuracy:  0.818, Loss:  0.298
Epoch   7 Batch   18/269 - Train Accuracy:  0.811, Validation Accuracy:  0.820, Loss:  0.313
Epoch   7 Batch   19/269 - Train Accuracy:  0.826, Validation Accuracy:  0.819, Loss:  0.289
Epoch   7 Batch   20/269 - Train Accuracy:  0.828, Validation Accuracy:  0.820, Loss:  0.311
Epoch   7 Batch   21/269 - Train Accuracy:  0.799, Validation Accuracy:  0.818, Loss:  0.334
Epoch   7 Batch   22/269 - Train Accuracy:  0.846, Validation Accuracy:  0.820, Loss:  0.296
Epoch   7 Batch   23/269 - Train Accuracy:  0.825, Validation Accuracy:  0.826, Loss:  0.311
Epoch   7 Batch   24/269 - Train Accuracy:  0.821, Validation Accuracy:  0.824, Loss:  0.318
Epoch   7 Batch   25/269 - Train Accuracy:  0.824, Validation Accuracy:  0.822, Loss:  0.330
Epoch   7 Batch   26/269 - Train Accuracy:  0.838, Validation Accuracy:  0.827, Loss:  0.284
Epoch   7 Batch   27/269 - Train Accuracy:  0.818, Validation Accuracy:  0.828, Loss:  0.306
Epoch   7 Batch   28/269 - Train Accuracy:  0.791, Validation Accuracy:  0.826, Loss:  0.323
Epoch   7 Batch   29/269 - Train Accuracy:  0.832, Validation Accuracy:  0.827, Loss:  0.320
Epoch   7 Batch   30/269 - Train Accuracy:  0.817, Validation Accuracy:  0.825, Loss:  0.300
Epoch   7 Batch   31/269 - Train Accuracy:  0.836, Validation Accuracy:  0.825, Loss:  0.296
Epoch   7 Batch   32/269 - Train Accuracy:  0.825, Validation Accuracy:  0.824, Loss:  0.304
Epoch   7 Batch   33/269 - Train Accuracy:  0.838, Validation Accuracy:  0.830, Loss:  0.290
Epoch   7 Batch   34/269 - Train Accuracy:  0.830, Validation Accuracy:  0.828, Loss:  0.299
Epoch   7 Batch   35/269 - Train Accuracy:  0.820, Validation Accuracy:  0.823, Loss:  0.314
Epoch   7 Batch   36/269 - Train Accuracy:  0.807, Validation Accuracy:  0.824, Loss:  0.304
Epoch   7 Batch   37/269 - Train Accuracy:  0.823, Validation Accuracy:  0.828, Loss:  0.302
Epoch   7 Batch   38/269 - Train Accuracy:  0.816, Validation Accuracy:  0.831, Loss:  0.305
Epoch   7 Batch   39/269 - Train Accuracy:  0.828, Validation Accuracy:  0.833, Loss:  0.296
Epoch   7 Batch   40/269 - Train Accuracy:  0.828, Validation Accuracy:  0.835, Loss:  0.307
Epoch   7 Batch   41/269 - Train Accuracy:  0.824, Validation Accuracy:  0.837, Loss:  0.311
Epoch   7 Batch   42/269 - Train Accuracy:  0.849, Validation Accuracy:  0.835, Loss:  0.279
Epoch   7 Batch   43/269 - Train Accuracy:  0.839, Validation Accuracy:  0.833, Loss:  0.319
Epoch   7 Batch   44/269 - Train Accuracy:  0.820, Validation Accuracy:  0.832, Loss:  0.308
Epoch   7 Batch   45/269 - Train Accuracy:  0.830, Validation Accuracy:  0.830, Loss:  0.311
Epoch   7 Batch   46/269 - Train Accuracy:  0.828, Validation Accuracy:  0.831, Loss:  0.309
Epoch   7 Batch   47/269 - Train Accuracy:  0.837, Validation Accuracy:  0.829, Loss:  0.286
Epoch   7 Batch   48/269 - Train Accuracy:  0.836, Validation Accuracy:  0.828, Loss:  0.293
Epoch   7 Batch   49/269 - Train Accuracy:  0.821, Validation Accuracy:  0.830, Loss:  0.305
Epoch   7 Batch   50/269 - Train Accuracy:  0.812, Validation Accuracy:  0.831, Loss:  0.320
Epoch   7 Batch   51/269 - Train Accuracy:  0.829, Validation Accuracy:  0.832, Loss:  0.303
Epoch   7 Batch   52/269 - Train Accuracy:  0.836, Validation Accuracy:  0.834, Loss:  0.280
Epoch   7 Batch   53/269 - Train Accuracy:  0.825, Validation Accuracy:  0.833, Loss:  0.320
Epoch   7 Batch   54/269 - Train Accuracy:  0.826, Validation Accuracy:  0.837, Loss:  0.315
Epoch   7 Batch   55/269 - Train Accuracy:  0.848, Validation Accuracy:  0.841, Loss:  0.289
Epoch   7 Batch   56/269 - Train Accuracy:  0.834, Validation Accuracy:  0.840, Loss:  0.300
Epoch   7 Batch   57/269 - Train Accuracy:  0.830, Validation Accuracy:  0.843, Loss:  0.312
Epoch   7 Batch   58/269 - Train Accuracy:  0.834, Validation Accuracy:  0.838, Loss:  0.293
Epoch   7 Batch   59/269 - Train Accuracy:  0.845, Validation Accuracy:  0.836, Loss:  0.276
Epoch   7 Batch   60/269 - Train Accuracy:  0.826, Validation Accuracy:  0.835, Loss:  0.274
Epoch   7 Batch   61/269 - Train Accuracy:  0.861, Validation Accuracy:  0.842, Loss:  0.276
Epoch   7 Batch   62/269 - Train Accuracy:  0.840, Validation Accuracy:  0.845, Loss:  0.291
Epoch   7 Batch   63/269 - Train Accuracy:  0.833, Validation Accuracy:  0.835, Loss:  0.305
Epoch   7 Batch   64/269 - Train Accuracy:  0.834, Validation Accuracy:  0.835, Loss:  0.285
Epoch   7 Batch   65/269 - Train Accuracy:  0.827, Validation Accuracy:  0.844, Loss:  0.291
Epoch   7 Batch   66/269 - Train Accuracy:  0.833, Validation Accuracy:  0.835, Loss:  0.288
Epoch   7 Batch   67/269 - Train Accuracy:  0.830, Validation Accuracy:  0.833, Loss:  0.302
Epoch   7 Batch   68/269 - Train Accuracy:  0.825, Validation Accuracy:  0.835, Loss:  0.306
Epoch   7 Batch   69/269 - Train Accuracy:  0.811, Validation Accuracy:  0.839, Loss:  0.332
Epoch   7 Batch   70/269 - Train Accuracy:  0.840, Validation Accuracy:  0.840, Loss:  0.300
Epoch   7 Batch   71/269 - Train Accuracy:  0.834, Validation Accuracy:  0.835, Loss:  0.310
Epoch   7 Batch   72/269 - Train Accuracy:  0.832, Validation Accuracy:  0.837, Loss:  0.302
Epoch   7 Batch   73/269 - Train Accuracy:  0.828, Validation Accuracy:  0.837, Loss:  0.319
Epoch   7 Batch   74/269 - Train Accuracy:  0.834, Validation Accuracy:  0.832, Loss:  0.301
Epoch   7 Batch   75/269 - Train Accuracy:  0.842, Validation Accuracy:  0.837, Loss:  0.294
Epoch   7 Batch   76/269 - Train Accuracy:  0.827, Validation Accuracy:  0.837, Loss:  0.298
Epoch   7 Batch   77/269 - Train Accuracy:  0.835, Validation Accuracy:  0.838, Loss:  0.291
Epoch   7 Batch   78/269 - Train Accuracy:  0.850, Validation Accuracy:  0.839, Loss:  0.297
Epoch   7 Batch   79/269 - Train Accuracy:  0.831, Validation Accuracy:  0.841, Loss:  0.292
Epoch   7 Batch   80/269 - Train Accuracy:  0.838, Validation Accuracy:  0.843, Loss:  0.290
Epoch   7 Batch   81/269 - Train Accuracy:  0.812, Validation Accuracy:  0.843, Loss:  0.307
Epoch   7 Batch   82/269 - Train Accuracy:  0.842, Validation Accuracy:  0.840, Loss:  0.290
Epoch   7 Batch   83/269 - Train Accuracy:  0.826, Validation Accuracy:  0.830, Loss:  0.301
Epoch   7 Batch   84/269 - Train Accuracy:  0.832, Validation Accuracy:  0.830, Loss:  0.293
Epoch   7 Batch   85/269 - Train Accuracy:  0.845, Validation Accuracy:  0.832, Loss:  0.285
Epoch   7 Batch   86/269 - Train Accuracy:  0.835, Validation Accuracy:  0.835, Loss:  0.296
Epoch   7 Batch   87/269 - Train Accuracy:  0.819, Validation Accuracy:  0.834, Loss:  0.322
Epoch   7 Batch   88/269 - Train Accuracy:  0.829, Validation Accuracy:  0.835, Loss:  0.297
Epoch   7 Batch   89/269 - Train Accuracy:  0.837, Validation Accuracy:  0.841, Loss:  0.290
Epoch   7 Batch   90/269 - Train Accuracy:  0.818, Validation Accuracy:  0.841, Loss:  0.303
Epoch   7 Batch   91/269 - Train Accuracy:  0.863, Validation Accuracy:  0.835, Loss:  0.280
Epoch   7 Batch   92/269 - Train Accuracy:  0.849, Validation Accuracy:  0.834, Loss:  0.284
Epoch   7 Batch   93/269 - Train Accuracy:  0.838, Validation Accuracy:  0.832, Loss:  0.274
Epoch   7 Batch   94/269 - Train Accuracy:  0.833, Validation Accuracy:  0.832, Loss:  0.303
Epoch   7 Batch   95/269 - Train Accuracy:  0.834, Validation Accuracy:  0.830, Loss:  0.287
Epoch   7 Batch   96/269 - Train Accuracy:  0.829, Validation Accuracy:  0.831, Loss:  0.288
Epoch   7 Batch   97/269 - Train Accuracy:  0.846, Validation Accuracy:  0.833, Loss:  0.290
Epoch   7 Batch   98/269 - Train Accuracy:  0.844, Validation Accuracy:  0.838, Loss:  0.292
Epoch   7 Batch   99/269 - Train Accuracy:  0.825, Validation Accuracy:  0.838, Loss:  0.299
Epoch   7 Batch  100/269 - Train Accuracy:  0.846, Validation Accuracy:  0.841, Loss:  0.289
Epoch   7 Batch  101/269 - Train Accuracy:  0.830, Validation Accuracy:  0.843, Loss:  0.308
Epoch   7 Batch  102/269 - Train Accuracy:  0.840, Validation Accuracy:  0.840, Loss:  0.286
Epoch   7 Batch  103/269 - Train Accuracy:  0.839, Validation Accuracy:  0.837, Loss:  0.293
Epoch   7 Batch  104/269 - Train Accuracy:  0.838, Validation Accuracy:  0.836, Loss:  0.292
Epoch   7 Batch  105/269 - Train Accuracy:  0.842, Validation Accuracy:  0.843, Loss:  0.289
Epoch   7 Batch  106/269 - Train Accuracy:  0.842, Validation Accuracy:  0.844, Loss:  0.283
Epoch   7 Batch  107/269 - Train Accuracy:  0.841, Validation Accuracy:  0.845, Loss:  0.304
Epoch   7 Batch  108/269 - Train Accuracy:  0.849, Validation Accuracy:  0.845, Loss:  0.293
Epoch   7 Batch  109/269 - Train Accuracy:  0.825, Validation Accuracy:  0.843, Loss:  0.289
Epoch   7 Batch  110/269 - Train Accuracy:  0.836, Validation Accuracy:  0.843, Loss:  0.282
Epoch   7 Batch  111/269 - Train Accuracy:  0.843, Validation Accuracy:  0.841, Loss:  0.311
Epoch   7 Batch  112/269 - Train Accuracy:  0.849, Validation Accuracy:  0.843, Loss:  0.285
Epoch   7 Batch  113/269 - Train Accuracy:  0.835, Validation Accuracy:  0.844, Loss:  0.279
Epoch   7 Batch  114/269 - Train Accuracy:  0.829, Validation Accuracy:  0.845, Loss:  0.287
Epoch   7 Batch  115/269 - Train Accuracy:  0.822, Validation Accuracy:  0.841, Loss:  0.289
Epoch   7 Batch  116/269 - Train Accuracy:  0.842, Validation Accuracy:  0.844, Loss:  0.301
Epoch   7 Batch  117/269 - Train Accuracy:  0.839, Validation Accuracy:  0.845, Loss:  0.283
Epoch   7 Batch  118/269 - Train Accuracy:  0.851, Validation Accuracy:  0.843, Loss:  0.277
Epoch   7 Batch  119/269 - Train Accuracy:  0.828, Validation Accuracy:  0.845, Loss:  0.315
Epoch   7 Batch  120/269 - Train Accuracy:  0.845, Validation Accuracy:  0.850, Loss:  0.291
Epoch   7 Batch  121/269 - Train Accuracy:  0.850, Validation Accuracy:  0.851, Loss:  0.283
Epoch   7 Batch  122/269 - Train Accuracy:  0.818, Validation Accuracy:  0.855, Loss:  0.287
Epoch   7 Batch  123/269 - Train Accuracy:  0.848, Validation Accuracy:  0.849, Loss:  0.300
Epoch   7 Batch  124/269 - Train Accuracy:  0.845, Validation Accuracy:  0.847, Loss:  0.278
Epoch   7 Batch  125/269 - Train Accuracy:  0.860, Validation Accuracy:  0.845, Loss:  0.270
Epoch   7 Batch  126/269 - Train Accuracy:  0.828, Validation Accuracy:  0.842, Loss:  0.282
Epoch   7 Batch  127/269 - Train Accuracy:  0.840, Validation Accuracy:  0.843, Loss:  0.296
Epoch   7 Batch  128/269 - Train Accuracy:  0.856, Validation Accuracy:  0.842, Loss:  0.283
Epoch   7 Batch  129/269 - Train Accuracy:  0.832, Validation Accuracy:  0.842, Loss:  0.285
Epoch   7 Batch  130/269 - Train Accuracy:  0.834, Validation Accuracy:  0.842, Loss:  0.305
Epoch   7 Batch  131/269 - Train Accuracy:  0.832, Validation Accuracy:  0.842, Loss:  0.295
Epoch   7 Batch  132/269 - Train Accuracy:  0.833, Validation Accuracy:  0.849, Loss:  0.293
Epoch   7 Batch  133/269 - Train Accuracy:  0.860, Validation Accuracy:  0.850, Loss:  0.267
Epoch   7 Batch  134/269 - Train Accuracy:  0.837, Validation Accuracy:  0.847, Loss:  0.286
Epoch   7 Batch  135/269 - Train Accuracy:  0.839, Validation Accuracy:  0.849, Loss:  0.309
Epoch   7 Batch  136/269 - Train Accuracy:  0.832, Validation Accuracy:  0.844, Loss:  0.302
Epoch   7 Batch  137/269 - Train Accuracy:  0.834, Validation Accuracy:  0.844, Loss:  0.300
Epoch   7 Batch  138/269 - Train Accuracy:  0.855, Validation Accuracy:  0.842, Loss:  0.292
Epoch   7 Batch  139/269 - Train Accuracy:  0.843, Validation Accuracy:  0.846, Loss:  0.274
Epoch   7 Batch  140/269 - Train Accuracy:  0.843, Validation Accuracy:  0.844, Loss:  0.296
Epoch   7 Batch  141/269 - Train Accuracy:  0.842, Validation Accuracy:  0.850, Loss:  0.294
Epoch   7 Batch  142/269 - Train Accuracy:  0.831, Validation Accuracy:  0.850, Loss:  0.287
Epoch   7 Batch  143/269 - Train Accuracy:  0.847, Validation Accuracy:  0.852, Loss:  0.281
Epoch   7 Batch  144/269 - Train Accuracy:  0.839, Validation Accuracy:  0.850, Loss:  0.273
Epoch   7 Batch  145/269 - Train Accuracy:  0.850, Validation Accuracy:  0.848, Loss:  0.275
Epoch   7 Batch  146/269 - Train Accuracy:  0.840, Validation Accuracy:  0.845, Loss:  0.284
Epoch   7 Batch  147/269 - Train Accuracy:  0.854, Validation Accuracy:  0.846, Loss:  0.274
Epoch   7 Batch  148/269 - Train Accuracy:  0.846, Validation Accuracy:  0.850, Loss:  0.286
Epoch   7 Batch  149/269 - Train Accuracy:  0.834, Validation Accuracy:  0.848, Loss:  0.291
Epoch   7 Batch  150/269 - Train Accuracy:  0.833, Validation Accuracy:  0.845, Loss:  0.278
Epoch   7 Batch  151/269 - Train Accuracy:  0.848, Validation Accuracy:  0.841, Loss:  0.272
Epoch   7 Batch  152/269 - Train Accuracy:  0.844, Validation Accuracy:  0.843, Loss:  0.286
Epoch   7 Batch  153/269 - Train Accuracy:  0.850, Validation Accuracy:  0.846, Loss:  0.278
Epoch   7 Batch  154/269 - Train Accuracy:  0.860, Validation Accuracy:  0.850, Loss:  0.292
Epoch   7 Batch  155/269 - Train Accuracy:  0.848, Validation Accuracy:  0.849, Loss:  0.269
Epoch   7 Batch  156/269 - Train Accuracy:  0.838, Validation Accuracy:  0.848, Loss:  0.292
Epoch   7 Batch  157/269 - Train Accuracy:  0.841, Validation Accuracy:  0.846, Loss:  0.271
Epoch   7 Batch  158/269 - Train Accuracy:  0.844, Validation Accuracy:  0.843, Loss:  0.282
Epoch   7 Batch  159/269 - Train Accuracy:  0.837, Validation Accuracy:  0.845, Loss:  0.284
Epoch   7 Batch  160/269 - Train Accuracy:  0.851, Validation Accuracy:  0.844, Loss:  0.280
Epoch   7 Batch  161/269 - Train Accuracy:  0.848, Validation Accuracy:  0.845, Loss:  0.278
Epoch   7 Batch  162/269 - Train Accuracy:  0.857, Validation Accuracy:  0.846, Loss:  0.273
Epoch   7 Batch  163/269 - Train Accuracy:  0.850, Validation Accuracy:  0.847, Loss:  0.273
Epoch   7 Batch  164/269 - Train Accuracy:  0.853, Validation Accuracy:  0.847, Loss:  0.280
Epoch   7 Batch  165/269 - Train Accuracy:  0.849, Validation Accuracy:  0.844, Loss:  0.278
Epoch   7 Batch  166/269 - Train Accuracy:  0.852, Validation Accuracy:  0.846, Loss:  0.267
Epoch   7 Batch  167/269 - Train Accuracy:  0.860, Validation Accuracy:  0.848, Loss:  0.271
Epoch   7 Batch  168/269 - Train Accuracy:  0.840, Validation Accuracy:  0.845, Loss:  0.289
Epoch   7 Batch  169/269 - Train Accuracy:  0.841, Validation Accuracy:  0.846, Loss:  0.283
Epoch   7 Batch  170/269 - Train Accuracy:  0.845, Validation Accuracy:  0.847, Loss:  0.275
Epoch   7 Batch  171/269 - Train Accuracy:  0.866, Validation Accuracy:  0.849, Loss:  0.288
Epoch   7 Batch  172/269 - Train Accuracy:  0.845, Validation Accuracy:  0.847, Loss:  0.285
Epoch   7 Batch  173/269 - Train Accuracy:  0.856, Validation Accuracy:  0.848, Loss:  0.265
Epoch   7 Batch  174/269 - Train Accuracy:  0.851, Validation Accuracy:  0.850, Loss:  0.274
Epoch   7 Batch  175/269 - Train Accuracy:  0.843, Validation Accuracy:  0.846, Loss:  0.289
Epoch   7 Batch  176/269 - Train Accuracy:  0.842, Validation Accuracy:  0.840, Loss:  0.293
Epoch   7 Batch  177/269 - Train Accuracy:  0.854, Validation Accuracy:  0.841, Loss:  0.265
Epoch   7 Batch  178/269 - Train Accuracy:  0.860, Validation Accuracy:  0.845, Loss:  0.279
Epoch   7 Batch  179/269 - Train Accuracy:  0.838, Validation Accuracy:  0.844, Loss:  0.278
Epoch   7 Batch  180/269 - Train Accuracy:  0.857, Validation Accuracy:  0.847, Loss:  0.267
Epoch   7 Batch  181/269 - Train Accuracy:  0.848, Validation Accuracy:  0.850, Loss:  0.277
Epoch   7 Batch  182/269 - Train Accuracy:  0.856, Validation Accuracy:  0.849, Loss:  0.277
Epoch   7 Batch  183/269 - Train Accuracy:  0.867, Validation Accuracy:  0.849, Loss:  0.243
Epoch   7 Batch  184/269 - Train Accuracy:  0.854, Validation Accuracy:  0.847, Loss:  0.280
Epoch   7 Batch  185/269 - Train Accuracy:  0.854, Validation Accuracy:  0.849, Loss:  0.273
Epoch   7 Batch  186/269 - Train Accuracy:  0.830, Validation Accuracy:  0.851, Loss:  0.279
Epoch   7 Batch  187/269 - Train Accuracy:  0.847, Validation Accuracy:  0.848, Loss:  0.260
Epoch   7 Batch  188/269 - Train Accuracy:  0.861, Validation Accuracy:  0.856, Loss:  0.263
Epoch   7 Batch  189/269 - Train Accuracy:  0.852, Validation Accuracy:  0.853, Loss:  0.263
Epoch   7 Batch  190/269 - Train Accuracy:  0.862, Validation Accuracy:  0.852, Loss:  0.262
Epoch   7 Batch  191/269 - Train Accuracy:  0.853, Validation Accuracy:  0.852, Loss:  0.270
Epoch   7 Batch  192/269 - Train Accuracy:  0.851, Validation Accuracy:  0.848, Loss:  0.280
Epoch   7 Batch  193/269 - Train Accuracy:  0.861, Validation Accuracy:  0.850, Loss:  0.265
Epoch   7 Batch  194/269 - Train Accuracy:  0.843, Validation Accuracy:  0.850, Loss:  0.273
Epoch   7 Batch  195/269 - Train Accuracy:  0.849, Validation Accuracy:  0.849, Loss:  0.274
Epoch   7 Batch  196/269 - Train Accuracy:  0.849, Validation Accuracy:  0.849, Loss:  0.262
Epoch   7 Batch  197/269 - Train Accuracy:  0.846, Validation Accuracy:  0.851, Loss:  0.291
Epoch   7 Batch  198/269 - Train Accuracy:  0.843, Validation Accuracy:  0.853, Loss:  0.292
Epoch   7 Batch  199/269 - Train Accuracy:  0.837, Validation Accuracy:  0.852, Loss:  0.279
Epoch   7 Batch  200/269 - Train Accuracy:  0.852, Validation Accuracy:  0.853, Loss:  0.279
Epoch   7 Batch  201/269 - Train Accuracy:  0.848, Validation Accuracy:  0.854, Loss:  0.266
Epoch   7 Batch  202/269 - Train Accuracy:  0.845, Validation Accuracy:  0.857, Loss:  0.278
Epoch   7 Batch  203/269 - Train Accuracy:  0.851, Validation Accuracy:  0.859, Loss:  0.291
Epoch   7 Batch  204/269 - Train Accuracy:  0.863, Validation Accuracy:  0.853, Loss:  0.283
Epoch   7 Batch  205/269 - Train Accuracy:  0.846, Validation Accuracy:  0.849, Loss:  0.270
Epoch   7 Batch  206/269 - Train Accuracy:  0.829, Validation Accuracy:  0.845, Loss:  0.295
Epoch   7 Batch  207/269 - Train Accuracy:  0.852, Validation Accuracy:  0.847, Loss:  0.267
Epoch   7 Batch  208/269 - Train Accuracy:  0.854, Validation Accuracy:  0.846, Loss:  0.282
Epoch   7 Batch  209/269 - Train Accuracy:  0.863, Validation Accuracy:  0.847, Loss:  0.272
Epoch   7 Batch  210/269 - Train Accuracy:  0.851, Validation Accuracy:  0.851, Loss:  0.268
Epoch   7 Batch  211/269 - Train Accuracy:  0.852, Validation Accuracy:  0.855, Loss:  0.273
Epoch   7 Batch  212/269 - Train Accuracy:  0.850, Validation Accuracy:  0.854, Loss:  0.271
Epoch   7 Batch  213/269 - Train Accuracy:  0.842, Validation Accuracy:  0.854, Loss:  0.272
Epoch   7 Batch  214/269 - Train Accuracy:  0.827, Validation Accuracy:  0.855, Loss:  0.276
Epoch   7 Batch  215/269 - Train Accuracy:  0.870, Validation Accuracy:  0.854, Loss:  0.256
Epoch   7 Batch  216/269 - Train Accuracy:  0.825, Validation Accuracy:  0.857, Loss:  0.292
Epoch   7 Batch  217/269 - Train Accuracy:  0.837, Validation Accuracy:  0.855, Loss:  0.282
Epoch   7 Batch  218/269 - Train Accuracy:  0.866, Validation Accuracy:  0.855, Loss:  0.280
Epoch   7 Batch  219/269 - Train Accuracy:  0.861, Validation Accuracy:  0.857, Loss:  0.286
Epoch   7 Batch  220/269 - Train Accuracy:  0.859, Validation Accuracy:  0.855, Loss:  0.254
Epoch   7 Batch  221/269 - Train Accuracy:  0.853, Validation Accuracy:  0.854, Loss:  0.277
Epoch   7 Batch  222/269 - Train Accuracy:  0.883, Validation Accuracy:  0.854, Loss:  0.253
Epoch   7 Batch  223/269 - Train Accuracy:  0.848, Validation Accuracy:  0.856, Loss:  0.264
Epoch   7 Batch  224/269 - Train Accuracy:  0.855, Validation Accuracy:  0.860, Loss:  0.285
Epoch   7 Batch  225/269 - Train Accuracy:  0.846, Validation Accuracy:  0.859, Loss:  0.267
Epoch   7 Batch  226/269 - Train Accuracy:  0.856, Validation Accuracy:  0.858, Loss:  0.272
Epoch   7 Batch  227/269 - Train Accuracy:  0.864, Validation Accuracy:  0.854, Loss:  0.252
Epoch   7 Batch  228/269 - Train Accuracy:  0.840, Validation Accuracy:  0.851, Loss:  0.267
Epoch   7 Batch  229/269 - Train Accuracy:  0.852, Validation Accuracy:  0.849, Loss:  0.269
Epoch   7 Batch  230/269 - Train Accuracy:  0.859, Validation Accuracy:  0.849, Loss:  0.267
Epoch   7 Batch  231/269 - Train Accuracy:  0.844, Validation Accuracy:  0.851, Loss:  0.277
Epoch   7 Batch  232/269 - Train Accuracy:  0.845, Validation Accuracy:  0.850, Loss:  0.271
Epoch   7 Batch  233/269 - Train Accuracy:  0.874, Validation Accuracy:  0.852, Loss:  0.276
Epoch   7 Batch  234/269 - Train Accuracy:  0.860, Validation Accuracy:  0.854, Loss:  0.260
Epoch   7 Batch  235/269 - Train Accuracy:  0.874, Validation Accuracy:  0.856, Loss:  0.259
Epoch   7 Batch  236/269 - Train Accuracy:  0.848, Validation Accuracy:  0.857, Loss:  0.263
Epoch   7 Batch  237/269 - Train Accuracy:  0.860, Validation Accuracy:  0.861, Loss:  0.265
Epoch   7 Batch  238/269 - Train Accuracy:  0.858, Validation Accuracy:  0.862, Loss:  0.267
Epoch   7 Batch  239/269 - Train Accuracy:  0.864, Validation Accuracy:  0.861, Loss:  0.263
Epoch   7 Batch  240/269 - Train Accuracy:  0.870, Validation Accuracy:  0.857, Loss:  0.245
Epoch   7 Batch  241/269 - Train Accuracy:  0.849, Validation Accuracy:  0.858, Loss:  0.279
Epoch   7 Batch  242/269 - Train Accuracy:  0.870, Validation Accuracy:  0.857, Loss:  0.259
Epoch   7 Batch  243/269 - Train Accuracy:  0.869, Validation Accuracy:  0.859, Loss:  0.255
Epoch   7 Batch  244/269 - Train Accuracy:  0.851, Validation Accuracy:  0.853, Loss:  0.264
Epoch   7 Batch  245/269 - Train Accuracy:  0.840, Validation Accuracy:  0.853, Loss:  0.276
Epoch   7 Batch  246/269 - Train Accuracy:  0.844, Validation Accuracy:  0.854, Loss:  0.260
Epoch   7 Batch  247/269 - Train Accuracy:  0.856, Validation Accuracy:  0.854, Loss:  0.271
Epoch   7 Batch  248/269 - Train Accuracy:  0.864, Validation Accuracy:  0.855, Loss:  0.256
Epoch   7 Batch  249/269 - Train Accuracy:  0.863, Validation Accuracy:  0.861, Loss:  0.248
Epoch   7 Batch  250/269 - Train Accuracy:  0.857, Validation Accuracy:  0.858, Loss:  0.270
Epoch   7 Batch  251/269 - Train Accuracy:  0.878, Validation Accuracy:  0.859, Loss:  0.254
Epoch   7 Batch  252/269 - Train Accuracy:  0.853, Validation Accuracy:  0.858, Loss:  0.258
Epoch   7 Batch  253/269 - Train Accuracy:  0.841, Validation Accuracy:  0.861, Loss:  0.273
Epoch   7 Batch  254/269 - Train Accuracy:  0.859, Validation Accuracy:  0.861, Loss:  0.254
Epoch   7 Batch  255/269 - Train Accuracy:  0.857, Validation Accuracy:  0.864, Loss:  0.258
Epoch   7 Batch  256/269 - Train Accuracy:  0.849, Validation Accuracy:  0.866, Loss:  0.263
Epoch   7 Batch  257/269 - Train Accuracy:  0.851, Validation Accuracy:  0.868, Loss:  0.280
Epoch   7 Batch  258/269 - Train Accuracy:  0.858, Validation Accuracy:  0.863, Loss:  0.270
Epoch   7 Batch  259/269 - Train Accuracy:  0.868, Validation Accuracy:  0.866, Loss:  0.271
Epoch   7 Batch  260/269 - Train Accuracy:  0.839, Validation Accuracy:  0.863, Loss:  0.272
Epoch   7 Batch  261/269 - Train Accuracy:  0.850, Validation Accuracy:  0.861, Loss:  0.267
Epoch   7 Batch  262/269 - Train Accuracy:  0.872, Validation Accuracy:  0.864, Loss:  0.260
Epoch   7 Batch  263/269 - Train Accuracy:  0.868, Validation Accuracy:  0.865, Loss:  0.270
Epoch   7 Batch  264/269 - Train Accuracy:  0.831, Validation Accuracy:  0.864, Loss:  0.275
Epoch   7 Batch  265/269 - Train Accuracy:  0.868, Validation Accuracy:  0.859, Loss:  0.260
Epoch   7 Batch  266/269 - Train Accuracy:  0.872, Validation Accuracy:  0.861, Loss:  0.255
Epoch   7 Batch  267/269 - Train Accuracy:  0.864, Validation Accuracy:  0.861, Loss:  0.268
Epoch   8 Batch    0/269 - Train Accuracy:  0.865, Validation Accuracy:  0.864, Loss:  0.279
Epoch   8 Batch    1/269 - Train Accuracy:  0.863, Validation Accuracy:  0.862, Loss:  0.272
Epoch   8 Batch    2/269 - Train Accuracy:  0.855, Validation Accuracy:  0.861, Loss:  0.264
Epoch   8 Batch    3/269 - Train Accuracy:  0.864, Validation Accuracy:  0.862, Loss:  0.267
Epoch   8 Batch    4/269 - Train Accuracy:  0.853, Validation Accuracy:  0.865, Loss:  0.267
Epoch   8 Batch    5/269 - Train Accuracy:  0.854, Validation Accuracy:  0.861, Loss:  0.267
Epoch   8 Batch    6/269 - Train Accuracy:  0.874, Validation Accuracy:  0.867, Loss:  0.250
Epoch   8 Batch    7/269 - Train Accuracy:  0.871, Validation Accuracy:  0.869, Loss:  0.255
Epoch   8 Batch    8/269 - Train Accuracy:  0.862, Validation Accuracy:  0.865, Loss:  0.275
Epoch   8 Batch    9/269 - Train Accuracy:  0.864, Validation Accuracy:  0.869, Loss:  0.268
Epoch   8 Batch   10/269 - Train Accuracy:  0.875, Validation Accuracy:  0.870, Loss:  0.261
Epoch   8 Batch   11/269 - Train Accuracy:  0.863, Validation Accuracy:  0.870, Loss:  0.265
Epoch   8 Batch   12/269 - Train Accuracy:  0.853, Validation Accuracy:  0.864, Loss:  0.275
Epoch   8 Batch   13/269 - Train Accuracy:  0.862, Validation Accuracy:  0.865, Loss:  0.240
Epoch   8 Batch   14/269 - Train Accuracy:  0.851, Validation Accuracy:  0.862, Loss:  0.256
Epoch   8 Batch   15/269 - Train Accuracy:  0.869, Validation Accuracy:  0.859, Loss:  0.245
Epoch   8 Batch   16/269 - Train Accuracy:  0.858, Validation Accuracy:  0.856, Loss:  0.268
Epoch   8 Batch   17/269 - Train Accuracy:  0.858, Validation Accuracy:  0.864, Loss:  0.248
Epoch   8 Batch   18/269 - Train Accuracy:  0.856, Validation Accuracy:  0.867, Loss:  0.258
Epoch   8 Batch   19/269 - Train Accuracy:  0.884, Validation Accuracy:  0.875, Loss:  0.237
Epoch   8 Batch   20/269 - Train Accuracy:  0.876, Validation Accuracy:  0.880, Loss:  0.263
Epoch   8 Batch   21/269 - Train Accuracy:  0.854, Validation Accuracy:  0.879, Loss:  0.279
Epoch   8 Batch   22/269 - Train Accuracy:  0.886, Validation Accuracy:  0.875, Loss:  0.246
Epoch   8 Batch   23/269 - Train Accuracy:  0.862, Validation Accuracy:  0.874, Loss:  0.257
Epoch   8 Batch   24/269 - Train Accuracy:  0.865, Validation Accuracy:  0.871, Loss:  0.262
Epoch   8 Batch   25/269 - Train Accuracy:  0.852, Validation Accuracy:  0.869, Loss:  0.275
Epoch   8 Batch   26/269 - Train Accuracy:  0.878, Validation Accuracy:  0.874, Loss:  0.234
Epoch   8 Batch   27/269 - Train Accuracy:  0.860, Validation Accuracy:  0.878, Loss:  0.254
Epoch   8 Batch   28/269 - Train Accuracy:  0.842, Validation Accuracy:  0.877, Loss:  0.278
Epoch   8 Batch   29/269 - Train Accuracy:  0.866, Validation Accuracy:  0.878, Loss:  0.271
Epoch   8 Batch   30/269 - Train Accuracy:  0.855, Validation Accuracy:  0.873, Loss:  0.249
Epoch   8 Batch   31/269 - Train Accuracy:  0.875, Validation Accuracy:  0.872, Loss:  0.248
Epoch   8 Batch   32/269 - Train Accuracy:  0.855, Validation Accuracy:  0.874, Loss:  0.254
Epoch   8 Batch   33/269 - Train Accuracy:  0.873, Validation Accuracy:  0.876, Loss:  0.238
Epoch   8 Batch   34/269 - Train Accuracy:  0.864, Validation Accuracy:  0.872, Loss:  0.252
Epoch   8 Batch   35/269 - Train Accuracy:  0.870, Validation Accuracy:  0.868, Loss:  0.264
Epoch   8 Batch   36/269 - Train Accuracy:  0.854, Validation Accuracy:  0.866, Loss:  0.254
Epoch   8 Batch   37/269 - Train Accuracy:  0.859, Validation Accuracy:  0.864, Loss:  0.259
Epoch   8 Batch   38/269 - Train Accuracy:  0.856, Validation Accuracy:  0.867, Loss:  0.255
Epoch   8 Batch   39/269 - Train Accuracy:  0.861, Validation Accuracy:  0.866, Loss:  0.242
Epoch   8 Batch   40/269 - Train Accuracy:  0.850, Validation Accuracy:  0.871, Loss:  0.263
Epoch   8 Batch   41/269 - Train Accuracy:  0.857, Validation Accuracy:  0.876, Loss:  0.262
Epoch   8 Batch   42/269 - Train Accuracy:  0.882, Validation Accuracy:  0.876, Loss:  0.240
Epoch   8 Batch   43/269 - Train Accuracy:  0.870, Validation Accuracy:  0.879, Loss:  0.265
Epoch   8 Batch   44/269 - Train Accuracy:  0.857, Validation Accuracy:  0.875, Loss:  0.257
Epoch   8 Batch   45/269 - Train Accuracy:  0.873, Validation Accuracy:  0.874, Loss:  0.254
Epoch   8 Batch   46/269 - Train Accuracy:  0.861, Validation Accuracy:  0.874, Loss:  0.256
Epoch   8 Batch   47/269 - Train Accuracy:  0.877, Validation Accuracy:  0.874, Loss:  0.240
Epoch   8 Batch   48/269 - Train Accuracy:  0.884, Validation Accuracy:  0.877, Loss:  0.245
Epoch   8 Batch   49/269 - Train Accuracy:  0.864, Validation Accuracy:  0.875, Loss:  0.260
Epoch   8 Batch   50/269 - Train Accuracy:  0.850, Validation Accuracy:  0.874, Loss:  0.271
Epoch   8 Batch   51/269 - Train Accuracy:  0.874, Validation Accuracy:  0.873, Loss:  0.249
Epoch   8 Batch   52/269 - Train Accuracy:  0.864, Validation Accuracy:  0.872, Loss:  0.235
Epoch   8 Batch   53/269 - Train Accuracy:  0.864, Validation Accuracy:  0.874, Loss:  0.269
Epoch   8 Batch   54/269 - Train Accuracy:  0.872, Validation Accuracy:  0.873, Loss:  0.255
Epoch   8 Batch   55/269 - Train Accuracy:  0.885, Validation Accuracy:  0.872, Loss:  0.246
Epoch   8 Batch   56/269 - Train Accuracy:  0.866, Validation Accuracy:  0.873, Loss:  0.252
Epoch   8 Batch   57/269 - Train Accuracy:  0.867, Validation Accuracy:  0.871, Loss:  0.263
Epoch   8 Batch   58/269 - Train Accuracy:  0.874, Validation Accuracy:  0.872, Loss:  0.248
Epoch   8 Batch   59/269 - Train Accuracy:  0.876, Validation Accuracy:  0.870, Loss:  0.235
Epoch   8 Batch   60/269 - Train Accuracy:  0.870, Validation Accuracy:  0.872, Loss:  0.234
Epoch   8 Batch   61/269 - Train Accuracy:  0.879, Validation Accuracy:  0.868, Loss:  0.224
Epoch   8 Batch   62/269 - Train Accuracy:  0.875, Validation Accuracy:  0.875, Loss:  0.244
Epoch   8 Batch   63/269 - Train Accuracy:  0.877, Validation Accuracy:  0.877, Loss:  0.255
Epoch   8 Batch   64/269 - Train Accuracy:  0.881, Validation Accuracy:  0.877, Loss:  0.233
Epoch   8 Batch   65/269 - Train Accuracy:  0.857, Validation Accuracy:  0.878, Loss:  0.242
Epoch   8 Batch   66/269 - Train Accuracy:  0.874, Validation Accuracy:  0.868, Loss:  0.238
Epoch   8 Batch   67/269 - Train Accuracy:  0.867, Validation Accuracy:  0.869, Loss:  0.257
Epoch   8 Batch   68/269 - Train Accuracy:  0.863, Validation Accuracy:  0.871, Loss:  0.250
Epoch   8 Batch   69/269 - Train Accuracy:  0.855, Validation Accuracy:  0.875, Loss:  0.271
Epoch   8 Batch   70/269 - Train Accuracy:  0.875, Validation Accuracy:  0.879, Loss:  0.249
Epoch   8 Batch   71/269 - Train Accuracy:  0.878, Validation Accuracy:  0.877, Loss:  0.266
Epoch   8 Batch   72/269 - Train Accuracy:  0.869, Validation Accuracy:  0.875, Loss:  0.253
Epoch   8 Batch   73/269 - Train Accuracy:  0.863, Validation Accuracy:  0.873, Loss:  0.261
Epoch   8 Batch   74/269 - Train Accuracy:  0.875, Validation Accuracy:  0.868, Loss:  0.247
Epoch   8 Batch   75/269 - Train Accuracy:  0.872, Validation Accuracy:  0.871, Loss:  0.245
Epoch   8 Batch   76/269 - Train Accuracy:  0.868, Validation Accuracy:  0.871, Loss:  0.248
Epoch   8 Batch   77/269 - Train Accuracy:  0.866, Validation Accuracy:  0.871, Loss:  0.248
Epoch   8 Batch   78/269 - Train Accuracy:  0.871, Validation Accuracy:  0.870, Loss:  0.253
Epoch   8 Batch   79/269 - Train Accuracy:  0.859, Validation Accuracy:  0.869, Loss:  0.244
Epoch   8 Batch   80/269 - Train Accuracy:  0.876, Validation Accuracy:  0.869, Loss:  0.242
Epoch   8 Batch   81/269 - Train Accuracy:  0.858, Validation Accuracy:  0.871, Loss:  0.252
Epoch   8 Batch   82/269 - Train Accuracy:  0.881, Validation Accuracy:  0.872, Loss:  0.239
Epoch   8 Batch   83/269 - Train Accuracy:  0.858, Validation Accuracy:  0.875, Loss:  0.257
Epoch   8 Batch   84/269 - Train Accuracy:  0.874, Validation Accuracy:  0.875, Loss:  0.245
Epoch   8 Batch   85/269 - Train Accuracy:  0.878, Validation Accuracy:  0.876, Loss:  0.237
Epoch   8 Batch   86/269 - Train Accuracy:  0.877, Validation Accuracy:  0.877, Loss:  0.241
Epoch   8 Batch   87/269 - Train Accuracy:  0.860, Validation Accuracy:  0.875, Loss:  0.267
Epoch   8 Batch   88/269 - Train Accuracy:  0.859, Validation Accuracy:  0.877, Loss:  0.254
Epoch   8 Batch   89/269 - Train Accuracy:  0.880, Validation Accuracy:  0.878, Loss:  0.246
Epoch   8 Batch   90/269 - Train Accuracy:  0.874, Validation Accuracy:  0.881, Loss:  0.260
Epoch   8 Batch   91/269 - Train Accuracy:  0.893, Validation Accuracy:  0.878, Loss:  0.235
Epoch   8 Batch   92/269 - Train Accuracy:  0.877, Validation Accuracy:  0.878, Loss:  0.230
Epoch   8 Batch   93/269 - Train Accuracy:  0.879, Validation Accuracy:  0.877, Loss:  0.231
Epoch   8 Batch   94/269 - Train Accuracy:  0.870, Validation Accuracy:  0.875, Loss:  0.254
Epoch   8 Batch   95/269 - Train Accuracy:  0.868, Validation Accuracy:  0.876, Loss:  0.234
Epoch   8 Batch   96/269 - Train Accuracy:  0.853, Validation Accuracy:  0.877, Loss:  0.244
Epoch   8 Batch   97/269 - Train Accuracy:  0.875, Validation Accuracy:  0.874, Loss:  0.242
Epoch   8 Batch   98/269 - Train Accuracy:  0.876, Validation Accuracy:  0.873, Loss:  0.239
Epoch   8 Batch   99/269 - Train Accuracy:  0.870, Validation Accuracy:  0.874, Loss:  0.251
Epoch   8 Batch  100/269 - Train Accuracy:  0.878, Validation Accuracy:  0.878, Loss:  0.240
Epoch   8 Batch  101/269 - Train Accuracy:  0.864, Validation Accuracy:  0.881, Loss:  0.260
Epoch   8 Batch  102/269 - Train Accuracy:  0.873, Validation Accuracy:  0.879, Loss:  0.235
Epoch   8 Batch  103/269 - Train Accuracy:  0.863, Validation Accuracy:  0.884, Loss:  0.247
Epoch   8 Batch  104/269 - Train Accuracy:  0.872, Validation Accuracy:  0.884, Loss:  0.233
Epoch   8 Batch  105/269 - Train Accuracy:  0.866, Validation Accuracy:  0.883, Loss:  0.239
Epoch   8 Batch  106/269 - Train Accuracy:  0.874, Validation Accuracy:  0.884, Loss:  0.231
Epoch   8 Batch  107/269 - Train Accuracy:  0.885, Validation Accuracy:  0.885, Loss:  0.249
Epoch   8 Batch  108/269 - Train Accuracy:  0.874, Validation Accuracy:  0.886, Loss:  0.241
Epoch   8 Batch  109/269 - Train Accuracy:  0.860, Validation Accuracy:  0.884, Loss:  0.253
Epoch   8 Batch  110/269 - Train Accuracy:  0.869, Validation Accuracy:  0.884, Loss:  0.236
Epoch   8 Batch  111/269 - Train Accuracy:  0.873, Validation Accuracy:  0.883, Loss:  0.256
Epoch   8 Batch  112/269 - Train Accuracy:  0.876, Validation Accuracy:  0.884, Loss:  0.235
Epoch   8 Batch  113/269 - Train Accuracy:  0.867, Validation Accuracy:  0.879, Loss:  0.233
Epoch   8 Batch  114/269 - Train Accuracy:  0.873, Validation Accuracy:  0.879, Loss:  0.240
Epoch   8 Batch  115/269 - Train Accuracy:  0.867, Validation Accuracy:  0.878, Loss:  0.243
Epoch   8 Batch  116/269 - Train Accuracy:  0.879, Validation Accuracy:  0.875, Loss:  0.251
Epoch   8 Batch  117/269 - Train Accuracy:  0.877, Validation Accuracy:  0.876, Loss:  0.233
Epoch   8 Batch  118/269 - Train Accuracy:  0.882, Validation Accuracy:  0.877, Loss:  0.228
Epoch   8 Batch  119/269 - Train Accuracy:  0.855, Validation Accuracy:  0.879, Loss:  0.259
Epoch   8 Batch  120/269 - Train Accuracy:  0.869, Validation Accuracy:  0.880, Loss:  0.242
Epoch   8 Batch  121/269 - Train Accuracy:  0.879, Validation Accuracy:  0.877, Loss:  0.226
Epoch   8 Batch  122/269 - Train Accuracy:  0.865, Validation Accuracy:  0.875, Loss:  0.237
Epoch   8 Batch  123/269 - Train Accuracy:  0.869, Validation Accuracy:  0.876, Loss:  0.247
Epoch   8 Batch  124/269 - Train Accuracy:  0.871, Validation Accuracy:  0.879, Loss:  0.231
Epoch   8 Batch  125/269 - Train Accuracy:  0.891, Validation Accuracy:  0.881, Loss:  0.230
Epoch   8 Batch  126/269 - Train Accuracy:  0.861, Validation Accuracy:  0.881, Loss:  0.234
Epoch   8 Batch  127/269 - Train Accuracy:  0.877, Validation Accuracy:  0.882, Loss:  0.247
Epoch   8 Batch  128/269 - Train Accuracy:  0.878, Validation Accuracy:  0.883, Loss:  0.239
Epoch   8 Batch  129/269 - Train Accuracy:  0.866, Validation Accuracy:  0.883, Loss:  0.240
Epoch   8 Batch  130/269 - Train Accuracy:  0.881, Validation Accuracy:  0.881, Loss:  0.251
Epoch   8 Batch  131/269 - Train Accuracy:  0.853, Validation Accuracy:  0.879, Loss:  0.244
Epoch   8 Batch  132/269 - Train Accuracy:  0.868, Validation Accuracy:  0.877, Loss:  0.238
Epoch   8 Batch  133/269 - Train Accuracy:  0.885, Validation Accuracy:  0.878, Loss:  0.230
Epoch   8 Batch  134/269 - Train Accuracy:  0.883, Validation Accuracy:  0.881, Loss:  0.235
Epoch   8 Batch  135/269 - Train Accuracy:  0.882, Validation Accuracy:  0.883, Loss:  0.248
Epoch   8 Batch  136/269 - Train Accuracy:  0.859, Validation Accuracy:  0.882, Loss:  0.251
Epoch   8 Batch  137/269 - Train Accuracy:  0.871, Validation Accuracy:  0.882, Loss:  0.247
Epoch   8 Batch  138/269 - Train Accuracy:  0.880, Validation Accuracy:  0.884, Loss:  0.240
Epoch   8 Batch  139/269 - Train Accuracy:  0.873, Validation Accuracy:  0.877, Loss:  0.224
Epoch   8 Batch  140/269 - Train Accuracy:  0.871, Validation Accuracy:  0.877, Loss:  0.245
Epoch   8 Batch  141/269 - Train Accuracy:  0.880, Validation Accuracy:  0.877, Loss:  0.247
Epoch   8 Batch  142/269 - Train Accuracy:  0.865, Validation Accuracy:  0.875, Loss:  0.233
Epoch   8 Batch  143/269 - Train Accuracy:  0.874, Validation Accuracy:  0.877, Loss:  0.232
Epoch   8 Batch  144/269 - Train Accuracy:  0.874, Validation Accuracy:  0.876, Loss:  0.226
Epoch   8 Batch  145/269 - Train Accuracy:  0.874, Validation Accuracy:  0.875, Loss:  0.232
Epoch   8 Batch  146/269 - Train Accuracy:  0.858, Validation Accuracy:  0.876, Loss:  0.232
Epoch   8 Batch  147/269 - Train Accuracy:  0.876, Validation Accuracy:  0.874, Loss:  0.232
Epoch   8 Batch  148/269 - Train Accuracy:  0.867, Validation Accuracy:  0.878, Loss:  0.235
Epoch   8 Batch  149/269 - Train Accuracy:  0.852, Validation Accuracy:  0.881, Loss:  0.241
Epoch   8 Batch  150/269 - Train Accuracy:  0.872, Validation Accuracy:  0.881, Loss:  0.232
Epoch   8 Batch  151/269 - Train Accuracy:  0.867, Validation Accuracy:  0.880, Loss:  0.226
Epoch   8 Batch  152/269 - Train Accuracy:  0.874, Validation Accuracy:  0.877, Loss:  0.233
Epoch   8 Batch  153/269 - Train Accuracy:  0.887, Validation Accuracy:  0.878, Loss:  0.233
Epoch   8 Batch  154/269 - Train Accuracy:  0.884, Validation Accuracy:  0.875, Loss:  0.239
Epoch   8 Batch  155/269 - Train Accuracy:  0.872, Validation Accuracy:  0.874, Loss:  0.223
Epoch   8 Batch  156/269 - Train Accuracy:  0.874, Validation Accuracy:  0.876, Loss:  0.240
Epoch   8 Batch  157/269 - Train Accuracy:  0.868, Validation Accuracy:  0.882, Loss:  0.222
Epoch   8 Batch  158/269 - Train Accuracy:  0.870, Validation Accuracy:  0.879, Loss:  0.232
Epoch   8 Batch  159/269 - Train Accuracy:  0.864, Validation Accuracy:  0.881, Loss:  0.236
Epoch   8 Batch  160/269 - Train Accuracy:  0.870, Validation Accuracy:  0.882, Loss:  0.235
Epoch   8 Batch  161/269 - Train Accuracy:  0.882, Validation Accuracy:  0.883, Loss:  0.221
Epoch   8 Batch  162/269 - Train Accuracy:  0.891, Validation Accuracy:  0.883, Loss:  0.227
Epoch   8 Batch  163/269 - Train Accuracy:  0.879, Validation Accuracy:  0.880, Loss:  0.228
Epoch   8 Batch  164/269 - Train Accuracy:  0.881, Validation Accuracy:  0.879, Loss:  0.224
Epoch   8 Batch  165/269 - Train Accuracy:  0.879, Validation Accuracy:  0.882, Loss:  0.232
Epoch   8 Batch  166/269 - Train Accuracy:  0.885, Validation Accuracy:  0.882, Loss:  0.222
Epoch   8 Batch  167/269 - Train Accuracy:  0.881, Validation Accuracy:  0.879, Loss:  0.230
Epoch   8 Batch  168/269 - Train Accuracy:  0.877, Validation Accuracy:  0.878, Loss:  0.243
Epoch   8 Batch  169/269 - Train Accuracy:  0.863, Validation Accuracy:  0.880, Loss:  0.232
Epoch   8 Batch  170/269 - Train Accuracy:  0.874, Validation Accuracy:  0.882, Loss:  0.236
Epoch   8 Batch  171/269 - Train Accuracy:  0.900, Validation Accuracy:  0.882, Loss:  0.232
Epoch   8 Batch  172/269 - Train Accuracy:  0.873, Validation Accuracy:  0.882, Loss:  0.239
Epoch   8 Batch  173/269 - Train Accuracy:  0.893, Validation Accuracy:  0.884, Loss:  0.220
Epoch   8 Batch  174/269 - Train Accuracy:  0.891, Validation Accuracy:  0.886, Loss:  0.223
Epoch   8 Batch  175/269 - Train Accuracy:  0.875, Validation Accuracy:  0.887, Loss:  0.242
Epoch   8 Batch  176/269 - Train Accuracy:  0.872, Validation Accuracy:  0.887, Loss:  0.239
Epoch   8 Batch  177/269 - Train Accuracy:  0.886, Validation Accuracy:  0.886, Loss:  0.215
Epoch   8 Batch  178/269 - Train Accuracy:  0.891, Validation Accuracy:  0.883, Loss:  0.230
Epoch   8 Batch  179/269 - Train Accuracy:  0.870, Validation Accuracy:  0.883, Loss:  0.226
Epoch   8 Batch  180/269 - Train Accuracy:  0.888, Validation Accuracy:  0.884, Loss:  0.228
Epoch   8 Batch  181/269 - Train Accuracy:  0.870, Validation Accuracy:  0.884, Loss:  0.227
Epoch   8 Batch  182/269 - Train Accuracy:  0.891, Validation Accuracy:  0.886, Loss:  0.231
Epoch   8 Batch  183/269 - Train Accuracy:  0.891, Validation Accuracy:  0.884, Loss:  0.199
Epoch   8 Batch  184/269 - Train Accuracy:  0.882, Validation Accuracy:  0.884, Loss:  0.230
Epoch   8 Batch  185/269 - Train Accuracy:  0.892, Validation Accuracy:  0.883, Loss:  0.238
Epoch   8 Batch  186/269 - Train Accuracy:  0.873, Validation Accuracy:  0.879, Loss:  0.233
Epoch   8 Batch  187/269 - Train Accuracy:  0.883, Validation Accuracy:  0.883, Loss:  0.215
Epoch   8 Batch  188/269 - Train Accuracy:  0.883, Validation Accuracy:  0.882, Loss:  0.216
Epoch   8 Batch  189/269 - Train Accuracy:  0.878, Validation Accuracy:  0.881, Loss:  0.212
Epoch   8 Batch  190/269 - Train Accuracy:  0.879, Validation Accuracy:  0.882, Loss:  0.216
Epoch   8 Batch  191/269 - Train Accuracy:  0.877, Validation Accuracy:  0.881, Loss:  0.220
Epoch   8 Batch  192/269 - Train Accuracy:  0.874, Validation Accuracy:  0.881, Loss:  0.233
Epoch   8 Batch  193/269 - Train Accuracy:  0.886, Validation Accuracy:  0.880, Loss:  0.229
Epoch   8 Batch  194/269 - Train Accuracy:  0.879, Validation Accuracy:  0.881, Loss:  0.227
Epoch   8 Batch  195/269 - Train Accuracy:  0.875, Validation Accuracy:  0.886, Loss:  0.230
Epoch   8 Batch  196/269 - Train Accuracy:  0.875, Validation Accuracy:  0.886, Loss:  0.218
Epoch   8 Batch  197/269 - Train Accuracy:  0.875, Validation Accuracy:  0.883, Loss:  0.235
Epoch   8 Batch  198/269 - Train Accuracy:  0.862, Validation Accuracy:  0.885, Loss:  0.234
Epoch   8 Batch  199/269 - Train Accuracy:  0.879, Validation Accuracy:  0.886, Loss:  0.234
Epoch   8 Batch  200/269 - Train Accuracy:  0.869, Validation Accuracy:  0.886, Loss:  0.233
Epoch   8 Batch  201/269 - Train Accuracy:  0.882, Validation Accuracy:  0.885, Loss:  0.219
Epoch   8 Batch  202/269 - Train Accuracy:  0.869, Validation Accuracy:  0.885, Loss:  0.221
Epoch   8 Batch  203/269 - Train Accuracy:  0.881, Validation Accuracy:  0.886, Loss:  0.245
Epoch   8 Batch  204/269 - Train Accuracy:  0.887, Validation Accuracy:  0.882, Loss:  0.236
Epoch   8 Batch  205/269 - Train Accuracy:  0.872, Validation Accuracy:  0.881, Loss:  0.219
Epoch   8 Batch  206/269 - Train Accuracy:  0.857, Validation Accuracy:  0.882, Loss:  0.243
Epoch   8 Batch  207/269 - Train Accuracy:  0.870, Validation Accuracy:  0.884, Loss:  0.217
Epoch   8 Batch  208/269 - Train Accuracy:  0.877, Validation Accuracy:  0.885, Loss:  0.235
Epoch   8 Batch  209/269 - Train Accuracy:  0.895, Validation Accuracy:  0.883, Loss:  0.226
Epoch   8 Batch  210/269 - Train Accuracy:  0.888, Validation Accuracy:  0.884, Loss:  0.220
Epoch   8 Batch  211/269 - Train Accuracy:  0.876, Validation Accuracy:  0.882, Loss:  0.223
Epoch   8 Batch  212/269 - Train Accuracy:  0.879, Validation Accuracy:  0.886, Loss:  0.228
Epoch   8 Batch  213/269 - Train Accuracy:  0.870, Validation Accuracy:  0.887, Loss:  0.220
Epoch   8 Batch  214/269 - Train Accuracy:  0.856, Validation Accuracy:  0.884, Loss:  0.223
Epoch   8 Batch  215/269 - Train Accuracy:  0.895, Validation Accuracy:  0.889, Loss:  0.207
Epoch   8 Batch  216/269 - Train Accuracy:  0.859, Validation Accuracy:  0.890, Loss:  0.249
Epoch   8 Batch  217/269 - Train Accuracy:  0.871, Validation Accuracy:  0.893, Loss:  0.231
Epoch   8 Batch  218/269 - Train Accuracy:  0.883, Validation Accuracy:  0.887, Loss:  0.230
Epoch   8 Batch  219/269 - Train Accuracy:  0.878, Validation Accuracy:  0.887, Loss:  0.238
Epoch   8 Batch  220/269 - Train Accuracy:  0.887, Validation Accuracy:  0.887, Loss:  0.208
Epoch   8 Batch  221/269 - Train Accuracy:  0.879, Validation Accuracy:  0.887, Loss:  0.227
Epoch   8 Batch  222/269 - Train Accuracy:  0.907, Validation Accuracy:  0.887, Loss:  0.209
Epoch   8 Batch  223/269 - Train Accuracy:  0.873, Validation Accuracy:  0.888, Loss:  0.219
Epoch   8 Batch  224/269 - Train Accuracy:  0.879, Validation Accuracy:  0.890, Loss:  0.237
Epoch   8 Batch  225/269 - Train Accuracy:  0.874, Validation Accuracy:  0.892, Loss:  0.224
Epoch   8 Batch  226/269 - Train Accuracy:  0.884, Validation Accuracy:  0.896, Loss:  0.225
Epoch   8 Batch  227/269 - Train Accuracy:  0.897, Validation Accuracy:  0.893, Loss:  0.208
Epoch   8 Batch  228/269 - Train Accuracy:  0.867, Validation Accuracy:  0.892, Loss:  0.223
Epoch   8 Batch  229/269 - Train Accuracy:  0.878, Validation Accuracy:  0.888, Loss:  0.215
Epoch   8 Batch  230/269 - Train Accuracy:  0.891, Validation Accuracy:  0.888, Loss:  0.213
Epoch   8 Batch  231/269 - Train Accuracy:  0.873, Validation Accuracy:  0.885, Loss:  0.229
Epoch   8 Batch  232/269 - Train Accuracy:  0.870, Validation Accuracy:  0.884, Loss:  0.220
Epoch   8 Batch  233/269 - Train Accuracy:  0.889, Validation Accuracy:  0.888, Loss:  0.226
Epoch   8 Batch  234/269 - Train Accuracy:  0.885, Validation Accuracy:  0.886, Loss:  0.215
Epoch   8 Batch  235/269 - Train Accuracy:  0.897, Validation Accuracy:  0.888, Loss:  0.214
Epoch   8 Batch  236/269 - Train Accuracy:  0.867, Validation Accuracy:  0.886, Loss:  0.213
Epoch   8 Batch  237/269 - Train Accuracy:  0.892, Validation Accuracy:  0.885, Loss:  0.213
Epoch   8 Batch  238/269 - Train Accuracy:  0.880, Validation Accuracy:  0.889, Loss:  0.224
Epoch   8 Batch  239/269 - Train Accuracy:  0.889, Validation Accuracy:  0.890, Loss:  0.220
Epoch   8 Batch  240/269 - Train Accuracy:  0.891, Validation Accuracy:  0.890, Loss:  0.206
Epoch   8 Batch  241/269 - Train Accuracy:  0.868, Validation Accuracy:  0.885, Loss:  0.235
Epoch   8 Batch  242/269 - Train Accuracy:  0.886, Validation Accuracy:  0.884, Loss:  0.210
Epoch   8 Batch  243/269 - Train Accuracy:  0.887, Validation Accuracy:  0.881, Loss:  0.213
Epoch   8 Batch  244/269 - Train Accuracy:  0.888, Validation Accuracy:  0.884, Loss:  0.211
Epoch   8 Batch  245/269 - Train Accuracy:  0.865, Validation Accuracy:  0.885, Loss:  0.231
Epoch   8 Batch  246/269 - Train Accuracy:  0.866, Validation Accuracy:  0.887, Loss:  0.220
Epoch   8 Batch  247/269 - Train Accuracy:  0.881, Validation Accuracy:  0.888, Loss:  0.225
Epoch   8 Batch  248/269 - Train Accuracy:  0.880, Validation Accuracy:  0.885, Loss:  0.217
Epoch   8 Batch  249/269 - Train Accuracy:  0.890, Validation Accuracy:  0.878, Loss:  0.200
Epoch   8 Batch  250/269 - Train Accuracy:  0.879, Validation Accuracy:  0.882, Loss:  0.224
Epoch   8 Batch  251/269 - Train Accuracy:  0.900, Validation Accuracy:  0.883, Loss:  0.216
Epoch   8 Batch  252/269 - Train Accuracy:  0.887, Validation Accuracy:  0.884, Loss:  0.210
Epoch   8 Batch  253/269 - Train Accuracy:  0.859, Validation Accuracy:  0.881, Loss:  0.224
Epoch   8 Batch  254/269 - Train Accuracy:  0.887, Validation Accuracy:  0.884, Loss:  0.212
Epoch   8 Batch  255/269 - Train Accuracy:  0.887, Validation Accuracy:  0.888, Loss:  0.218
Epoch   8 Batch  256/269 - Train Accuracy:  0.883, Validation Accuracy:  0.890, Loss:  0.214
Epoch   8 Batch  257/269 - Train Accuracy:  0.868, Validation Accuracy:  0.890, Loss:  0.225
Epoch   8 Batch  258/269 - Train Accuracy:  0.874, Validation Accuracy:  0.889, Loss:  0.220
Epoch   8 Batch  259/269 - Train Accuracy:  0.904, Validation Accuracy:  0.892, Loss:  0.222
Epoch   8 Batch  260/269 - Train Accuracy:  0.877, Validation Accuracy:  0.895, Loss:  0.226
Epoch   8 Batch  261/269 - Train Accuracy:  0.876, Validation Accuracy:  0.894, Loss:  0.221
Epoch   8 Batch  262/269 - Train Accuracy:  0.894, Validation Accuracy:  0.892, Loss:  0.218
Epoch   8 Batch  263/269 - Train Accuracy:  0.879, Validation Accuracy:  0.888, Loss:  0.221
Epoch   8 Batch  264/269 - Train Accuracy:  0.855, Validation Accuracy:  0.888, Loss:  0.225
Epoch   8 Batch  265/269 - Train Accuracy:  0.885, Validation Accuracy:  0.887, Loss:  0.218
Epoch   8 Batch  266/269 - Train Accuracy:  0.889, Validation Accuracy:  0.886, Loss:  0.211
Epoch   8 Batch  267/269 - Train Accuracy:  0.888, Validation Accuracy:  0.888, Loss:  0.223
Epoch   9 Batch    0/269 - Train Accuracy:  0.888, Validation Accuracy:  0.888, Loss:  0.232
Epoch   9 Batch    1/269 - Train Accuracy:  0.887, Validation Accuracy:  0.889, Loss:  0.220
Epoch   9 Batch    2/269 - Train Accuracy:  0.884, Validation Accuracy:  0.889, Loss:  0.224
Epoch   9 Batch    3/269 - Train Accuracy:  0.890, Validation Accuracy:  0.890, Loss:  0.212
Epoch   9 Batch    4/269 - Train Accuracy:  0.876, Validation Accuracy:  0.892, Loss:  0.217
Epoch   9 Batch    5/269 - Train Accuracy:  0.879, Validation Accuracy:  0.895, Loss:  0.217
Epoch   9 Batch    6/269 - Train Accuracy:  0.898, Validation Accuracy:  0.894, Loss:  0.202
Epoch   9 Batch    7/269 - Train Accuracy:  0.883, Validation Accuracy:  0.894, Loss:  0.208
Epoch   9 Batch    8/269 - Train Accuracy:  0.887, Validation Accuracy:  0.893, Loss:  0.221
Epoch   9 Batch    9/269 - Train Accuracy:  0.892, Validation Accuracy:  0.889, Loss:  0.225
Epoch   9 Batch   10/269 - Train Accuracy:  0.895, Validation Accuracy:  0.889, Loss:  0.210
Epoch   9 Batch   11/269 - Train Accuracy:  0.897, Validation Accuracy:  0.888, Loss:  0.221
Epoch   9 Batch   12/269 - Train Accuracy:  0.882, Validation Accuracy:  0.889, Loss:  0.228
Epoch   9 Batch   13/269 - Train Accuracy:  0.878, Validation Accuracy:  0.888, Loss:  0.194
Epoch   9 Batch   14/269 - Train Accuracy:  0.881, Validation Accuracy:  0.884, Loss:  0.213
Epoch   9 Batch   15/269 - Train Accuracy:  0.893, Validation Accuracy:  0.889, Loss:  0.192
Epoch   9 Batch   16/269 - Train Accuracy:  0.885, Validation Accuracy:  0.887, Loss:  0.220
Epoch   9 Batch   17/269 - Train Accuracy:  0.885, Validation Accuracy:  0.890, Loss:  0.199
Epoch   9 Batch   18/269 - Train Accuracy:  0.878, Validation Accuracy:  0.892, Loss:  0.212
Epoch   9 Batch   19/269 - Train Accuracy:  0.896, Validation Accuracy:  0.890, Loss:  0.195
Epoch   9 Batch   20/269 - Train Accuracy:  0.900, Validation Accuracy:  0.892, Loss:  0.220
Epoch   9 Batch   21/269 - Train Accuracy:  0.862, Validation Accuracy:  0.891, Loss:  0.234
Epoch   9 Batch   22/269 - Train Accuracy:  0.903, Validation Accuracy:  0.892, Loss:  0.204
Epoch   9 Batch   23/269 - Train Accuracy:  0.880, Validation Accuracy:  0.890, Loss:  0.219
Epoch   9 Batch   24/269 - Train Accuracy:  0.879, Validation Accuracy:  0.888, Loss:  0.219
Epoch   9 Batch   25/269 - Train Accuracy:  0.872, Validation Accuracy:  0.889, Loss:  0.225
Epoch   9 Batch   26/269 - Train Accuracy:  0.887, Validation Accuracy:  0.892, Loss:  0.195
Epoch   9 Batch   27/269 - Train Accuracy:  0.882, Validation Accuracy:  0.895, Loss:  0.209
Epoch   9 Batch   28/269 - Train Accuracy:  0.865, Validation Accuracy:  0.892, Loss:  0.218
Epoch   9 Batch   29/269 - Train Accuracy:  0.893, Validation Accuracy:  0.894, Loss:  0.216
Epoch   9 Batch   30/269 - Train Accuracy:  0.879, Validation Accuracy:  0.896, Loss:  0.209
Epoch   9 Batch   31/269 - Train Accuracy:  0.891, Validation Accuracy:  0.897, Loss:  0.206
Epoch   9 Batch   32/269 - Train Accuracy:  0.880, Validation Accuracy:  0.898, Loss:  0.208
Epoch   9 Batch   33/269 - Train Accuracy:  0.896, Validation Accuracy:  0.890, Loss:  0.196
Epoch   9 Batch   34/269 - Train Accuracy:  0.886, Validation Accuracy:  0.890, Loss:  0.201
Epoch   9 Batch   35/269 - Train Accuracy:  0.886, Validation Accuracy:  0.889, Loss:  0.217
Epoch   9 Batch   36/269 - Train Accuracy:  0.882, Validation Accuracy:  0.887, Loss:  0.212
Epoch   9 Batch   37/269 - Train Accuracy:  0.881, Validation Accuracy:  0.890, Loss:  0.207
Epoch   9 Batch   38/269 - Train Accuracy:  0.888, Validation Accuracy:  0.896, Loss:  0.210
Epoch   9 Batch   39/269 - Train Accuracy:  0.888, Validation Accuracy:  0.892, Loss:  0.206
Epoch   9 Batch   40/269 - Train Accuracy:  0.878, Validation Accuracy:  0.891, Loss:  0.215
Epoch   9 Batch   41/269 - Train Accuracy:  0.885, Validation Accuracy:  0.890, Loss:  0.213
Epoch   9 Batch   42/269 - Train Accuracy:  0.897, Validation Accuracy:  0.889, Loss:  0.193
Epoch   9 Batch   43/269 - Train Accuracy:  0.896, Validation Accuracy:  0.890, Loss:  0.219
Epoch   9 Batch   44/269 - Train Accuracy:  0.890, Validation Accuracy:  0.891, Loss:  0.213
Epoch   9 Batch   45/269 - Train Accuracy:  0.896, Validation Accuracy:  0.895, Loss:  0.214
Epoch   9 Batch   46/269 - Train Accuracy:  0.884, Validation Accuracy:  0.890, Loss:  0.209
Epoch   9 Batch   47/269 - Train Accuracy:  0.896, Validation Accuracy:  0.892, Loss:  0.190
Epoch   9 Batch   48/269 - Train Accuracy:  0.903, Validation Accuracy:  0.894, Loss:  0.200
Epoch   9 Batch   49/269 - Train Accuracy:  0.887, Validation Accuracy:  0.892, Loss:  0.215
Epoch   9 Batch   50/269 - Train Accuracy:  0.872, Validation Accuracy:  0.892, Loss:  0.227
Epoch   9 Batch   51/269 - Train Accuracy:  0.899, Validation Accuracy:  0.892, Loss:  0.201
Epoch   9 Batch   52/269 - Train Accuracy:  0.890, Validation Accuracy:  0.893, Loss:  0.188
Epoch   9 Batch   53/269 - Train Accuracy:  0.889, Validation Accuracy:  0.892, Loss:  0.217
Epoch   9 Batch   54/269 - Train Accuracy:  0.898, Validation Accuracy:  0.891, Loss:  0.208
Epoch   9 Batch   55/269 - Train Accuracy:  0.895, Validation Accuracy:  0.892, Loss:  0.202
Epoch   9 Batch   56/269 - Train Accuracy:  0.883, Validation Accuracy:  0.893, Loss:  0.210
Epoch   9 Batch   57/269 - Train Accuracy:  0.886, Validation Accuracy:  0.893, Loss:  0.210
Epoch   9 Batch   58/269 - Train Accuracy:  0.898, Validation Accuracy:  0.892, Loss:  0.204
Epoch   9 Batch   59/269 - Train Accuracy:  0.906, Validation Accuracy:  0.893, Loss:  0.190
Epoch   9 Batch   60/269 - Train Accuracy:  0.892, Validation Accuracy:  0.896, Loss:  0.196
Epoch   9 Batch   61/269 - Train Accuracy:  0.904, Validation Accuracy:  0.894, Loss:  0.192
Epoch   9 Batch   62/269 - Train Accuracy:  0.889, Validation Accuracy:  0.895, Loss:  0.204
Epoch   9 Batch   63/269 - Train Accuracy:  0.892, Validation Accuracy:  0.887, Loss:  0.214
Epoch   9 Batch   64/269 - Train Accuracy:  0.891, Validation Accuracy:  0.888, Loss:  0.196
Epoch   9 Batch   65/269 - Train Accuracy:  0.873, Validation Accuracy:  0.890, Loss:  0.205
Epoch   9 Batch   66/269 - Train Accuracy:  0.892, Validation Accuracy:  0.891, Loss:  0.198
Epoch   9 Batch   67/269 - Train Accuracy:  0.881, Validation Accuracy:  0.892, Loss:  0.214
Epoch   9 Batch   68/269 - Train Accuracy:  0.864, Validation Accuracy:  0.894, Loss:  0.216
Epoch   9 Batch   69/269 - Train Accuracy:  0.868, Validation Accuracy:  0.892, Loss:  0.231
Epoch   9 Batch   70/269 - Train Accuracy:  0.890, Validation Accuracy:  0.895, Loss:  0.211
Epoch   9 Batch   71/269 - Train Accuracy:  0.891, Validation Accuracy:  0.895, Loss:  0.221
Epoch   9 Batch   72/269 - Train Accuracy:  0.892, Validation Accuracy:  0.898, Loss:  0.210
Epoch   9 Batch   73/269 - Train Accuracy:  0.885, Validation Accuracy:  0.899, Loss:  0.217
Epoch   9 Batch   74/269 - Train Accuracy:  0.897, Validation Accuracy:  0.900, Loss:  0.199
Epoch   9 Batch   75/269 - Train Accuracy:  0.893, Validation Accuracy:  0.895, Loss:  0.204
Epoch   9 Batch   76/269 - Train Accuracy:  0.895, Validation Accuracy:  0.895, Loss:  0.197
Epoch   9 Batch   77/269 - Train Accuracy:  0.889, Validation Accuracy:  0.892, Loss:  0.203
Epoch   9 Batch   78/269 - Train Accuracy:  0.889, Validation Accuracy:  0.892, Loss:  0.211
Epoch   9 Batch   79/269 - Train Accuracy:  0.878, Validation Accuracy:  0.898, Loss:  0.201
Epoch   9 Batch   80/269 - Train Accuracy:  0.896, Validation Accuracy:  0.896, Loss:  0.198
Epoch   9 Batch   81/269 - Train Accuracy:  0.873, Validation Accuracy:  0.897, Loss:  0.217
Epoch   9 Batch   82/269 - Train Accuracy:  0.904, Validation Accuracy:  0.895, Loss:  0.193
Epoch   9 Batch   83/269 - Train Accuracy:  0.868, Validation Accuracy:  0.898, Loss:  0.211
Epoch   9 Batch   84/269 - Train Accuracy:  0.899, Validation Accuracy:  0.896, Loss:  0.198
Epoch   9 Batch   85/269 - Train Accuracy:  0.895, Validation Accuracy:  0.897, Loss:  0.193
Epoch   9 Batch   86/269 - Train Accuracy:  0.897, Validation Accuracy:  0.895, Loss:  0.200
Epoch   9 Batch   87/269 - Train Accuracy:  0.873, Validation Accuracy:  0.894, Loss:  0.216
Epoch   9 Batch   88/269 - Train Accuracy:  0.865, Validation Accuracy:  0.894, Loss:  0.203
Epoch   9 Batch   89/269 - Train Accuracy:  0.906, Validation Accuracy:  0.896, Loss:  0.199
Epoch   9 Batch   90/269 - Train Accuracy:  0.890, Validation Accuracy:  0.896, Loss:  0.212
Epoch   9 Batch   91/269 - Train Accuracy:  0.903, Validation Accuracy:  0.896, Loss:  0.198
Epoch   9 Batch   92/269 - Train Accuracy:  0.907, Validation Accuracy:  0.890, Loss:  0.191
Epoch   9 Batch   93/269 - Train Accuracy:  0.909, Validation Accuracy:  0.894, Loss:  0.193
Epoch   9 Batch   94/269 - Train Accuracy:  0.897, Validation Accuracy:  0.893, Loss:  0.216
Epoch   9 Batch   95/269 - Train Accuracy:  0.886, Validation Accuracy:  0.889, Loss:  0.195
Epoch   9 Batch   96/269 - Train Accuracy:  0.874, Validation Accuracy:  0.893, Loss:  0.202
Epoch   9 Batch   97/269 - Train Accuracy:  0.894, Validation Accuracy:  0.889, Loss:  0.197
Epoch   9 Batch   98/269 - Train Accuracy:  0.893, Validation Accuracy:  0.892, Loss:  0.203
Epoch   9 Batch   99/269 - Train Accuracy:  0.888, Validation Accuracy:  0.894, Loss:  0.203
Epoch   9 Batch  100/269 - Train Accuracy:  0.894, Validation Accuracy:  0.890, Loss:  0.196
Epoch   9 Batch  101/269 - Train Accuracy:  0.876, Validation Accuracy:  0.891, Loss:  0.223
Epoch   9 Batch  102/269 - Train Accuracy:  0.891, Validation Accuracy:  0.889, Loss:  0.195
Epoch   9 Batch  103/269 - Train Accuracy:  0.891, Validation Accuracy:  0.890, Loss:  0.207
Epoch   9 Batch  104/269 - Train Accuracy:  0.890, Validation Accuracy:  0.889, Loss:  0.200
Epoch   9 Batch  105/269 - Train Accuracy:  0.893, Validation Accuracy:  0.885, Loss:  0.198
Epoch   9 Batch  106/269 - Train Accuracy:  0.900, Validation Accuracy:  0.888, Loss:  0.187
Epoch   9 Batch  107/269 - Train Accuracy:  0.903, Validation Accuracy:  0.888, Loss:  0.202
Epoch   9 Batch  108/269 - Train Accuracy:  0.889, Validation Accuracy:  0.887, Loss:  0.199
Epoch   9 Batch  109/269 - Train Accuracy:  0.882, Validation Accuracy:  0.887, Loss:  0.205
Epoch   9 Batch  110/269 - Train Accuracy:  0.887, Validation Accuracy:  0.891, Loss:  0.201
Epoch   9 Batch  111/269 - Train Accuracy:  0.891, Validation Accuracy:  0.890, Loss:  0.211
Epoch   9 Batch  112/269 - Train Accuracy:  0.894, Validation Accuracy:  0.892, Loss:  0.199
Epoch   9 Batch  113/269 - Train Accuracy:  0.886, Validation Accuracy:  0.896, Loss:  0.190
Epoch   9 Batch  114/269 - Train Accuracy:  0.893, Validation Accuracy:  0.896, Loss:  0.195
Epoch   9 Batch  115/269 - Train Accuracy:  0.880, Validation Accuracy:  0.895, Loss:  0.202
Epoch   9 Batch  116/269 - Train Accuracy:  0.891, Validation Accuracy:  0.890, Loss:  0.204
Epoch   9 Batch  117/269 - Train Accuracy:  0.896, Validation Accuracy:  0.892, Loss:  0.198
Epoch   9 Batch  118/269 - Train Accuracy:  0.898, Validation Accuracy:  0.892, Loss:  0.188
Epoch   9 Batch  119/269 - Train Accuracy:  0.885, Validation Accuracy:  0.896, Loss:  0.214
Epoch   9 Batch  120/269 - Train Accuracy:  0.891, Validation Accuracy:  0.895, Loss:  0.201
Epoch   9 Batch  121/269 - Train Accuracy:  0.896, Validation Accuracy:  0.893, Loss:  0.188
Epoch   9 Batch  122/269 - Train Accuracy:  0.895, Validation Accuracy:  0.894, Loss:  0.197
Epoch   9 Batch  123/269 - Train Accuracy:  0.883, Validation Accuracy:  0.892, Loss:  0.202
Epoch   9 Batch  124/269 - Train Accuracy:  0.891, Validation Accuracy:  0.893, Loss:  0.191
Epoch   9 Batch  125/269 - Train Accuracy:  0.906, Validation Accuracy:  0.893, Loss:  0.191
Epoch   9 Batch  126/269 - Train Accuracy:  0.878, Validation Accuracy:  0.894, Loss:  0.194
Epoch   9 Batch  127/269 - Train Accuracy:  0.893, Validation Accuracy:  0.894, Loss:  0.203
Epoch   9 Batch  128/269 - Train Accuracy:  0.883, Validation Accuracy:  0.894, Loss:  0.192
Epoch   9 Batch  129/269 - Train Accuracy:  0.888, Validation Accuracy:  0.898, Loss:  0.196
Epoch   9 Batch  130/269 - Train Accuracy:  0.888, Validation Accuracy:  0.896, Loss:  0.208
Epoch   9 Batch  131/269 - Train Accuracy:  0.873, Validation Accuracy:  0.897, Loss:  0.200
Epoch   9 Batch  132/269 - Train Accuracy:  0.887, Validation Accuracy:  0.894, Loss:  0.201
Epoch   9 Batch  133/269 - Train Accuracy:  0.900, Validation Accuracy:  0.894, Loss:  0.186
Epoch   9 Batch  134/269 - Train Accuracy:  0.898, Validation Accuracy:  0.891, Loss:  0.200
Epoch   9 Batch  135/269 - Train Accuracy:  0.900, Validation Accuracy:  0.893, Loss:  0.212
Epoch   9 Batch  136/269 - Train Accuracy:  0.870, Validation Accuracy:  0.896, Loss:  0.206
Epoch   9 Batch  137/269 - Train Accuracy:  0.881, Validation Accuracy:  0.898, Loss:  0.211
Epoch   9 Batch  138/269 - Train Accuracy:  0.902, Validation Accuracy:  0.899, Loss:  0.194
Epoch   9 Batch  139/269 - Train Accuracy:  0.889, Validation Accuracy:  0.899, Loss:  0.183
Epoch   9 Batch  140/269 - Train Accuracy:  0.890, Validation Accuracy:  0.896, Loss:  0.201
Epoch   9 Batch  141/269 - Train Accuracy:  0.900, Validation Accuracy:  0.895, Loss:  0.209
Epoch   9 Batch  142/269 - Train Accuracy:  0.892, Validation Accuracy:  0.892, Loss:  0.193
Epoch   9 Batch  143/269 - Train Accuracy:  0.897, Validation Accuracy:  0.894, Loss:  0.188
Epoch   9 Batch  144/269 - Train Accuracy:  0.898, Validation Accuracy:  0.897, Loss:  0.183
Epoch   9 Batch  145/269 - Train Accuracy:  0.892, Validation Accuracy:  0.899, Loss:  0.183
Epoch   9 Batch  146/269 - Train Accuracy:  0.879, Validation Accuracy:  0.900, Loss:  0.199
Epoch   9 Batch  147/269 - Train Accuracy:  0.894, Validation Accuracy:  0.900, Loss:  0.191
Epoch   9 Batch  148/269 - Train Accuracy:  0.891, Validation Accuracy:  0.899, Loss:  0.199
Epoch   9 Batch  149/269 - Train Accuracy:  0.874, Validation Accuracy:  0.900, Loss:  0.208
Epoch   9 Batch  150/269 - Train Accuracy:  0.880, Validation Accuracy:  0.901, Loss:  0.194
Epoch   9 Batch  151/269 - Train Accuracy:  0.893, Validation Accuracy:  0.900, Loss:  0.193
Epoch   9 Batch  152/269 - Train Accuracy:  0.889, Validation Accuracy:  0.899, Loss:  0.194
Epoch   9 Batch  153/269 - Train Accuracy:  0.904, Validation Accuracy:  0.900, Loss:  0.190
Epoch   9 Batch  154/269 - Train Accuracy:  0.905, Validation Accuracy:  0.898, Loss:  0.194
Epoch   9 Batch  155/269 - Train Accuracy:  0.894, Validation Accuracy:  0.896, Loss:  0.187
Epoch   9 Batch  156/269 - Train Accuracy:  0.891, Validation Accuracy:  0.898, Loss:  0.194
Epoch   9 Batch  157/269 - Train Accuracy:  0.880, Validation Accuracy:  0.895, Loss:  0.180
Epoch   9 Batch  158/269 - Train Accuracy:  0.899, Validation Accuracy:  0.898, Loss:  0.190
Epoch   9 Batch  159/269 - Train Accuracy:  0.882, Validation Accuracy:  0.899, Loss:  0.193
Epoch   9 Batch  160/269 - Train Accuracy:  0.890, Validation Accuracy:  0.897, Loss:  0.196
Epoch   9 Batch  161/269 - Train Accuracy:  0.898, Validation Accuracy:  0.899, Loss:  0.191
Epoch   9 Batch  162/269 - Train Accuracy:  0.904, Validation Accuracy:  0.895, Loss:  0.184
Epoch   9 Batch  163/269 - Train Accuracy:  0.902, Validation Accuracy:  0.894, Loss:  0.195
Epoch   9 Batch  164/269 - Train Accuracy:  0.901, Validation Accuracy:  0.896, Loss:  0.190
Epoch   9 Batch  165/269 - Train Accuracy:  0.896, Validation Accuracy:  0.895, Loss:  0.196
Epoch   9 Batch  166/269 - Train Accuracy:  0.902, Validation Accuracy:  0.896, Loss:  0.182
Epoch   9 Batch  167/269 - Train Accuracy:  0.892, Validation Accuracy:  0.897, Loss:  0.190
Epoch   9 Batch  168/269 - Train Accuracy:  0.889, Validation Accuracy:  0.897, Loss:  0.201
Epoch   9 Batch  169/269 - Train Accuracy:  0.883, Validation Accuracy:  0.898, Loss:  0.194
Epoch   9 Batch  170/269 - Train Accuracy:  0.902, Validation Accuracy:  0.897, Loss:  0.191
Epoch   9 Batch  171/269 - Train Accuracy:  0.919, Validation Accuracy:  0.898, Loss:  0.194
Epoch   9 Batch  172/269 - Train Accuracy:  0.891, Validation Accuracy:  0.902, Loss:  0.194
Epoch   9 Batch  173/269 - Train Accuracy:  0.904, Validation Accuracy:  0.902, Loss:  0.187
Epoch   9 Batch  174/269 - Train Accuracy:  0.904, Validation Accuracy:  0.898, Loss:  0.193
Epoch   9 Batch  175/269 - Train Accuracy:  0.890, Validation Accuracy:  0.897, Loss:  0.204
Epoch   9 Batch  176/269 - Train Accuracy:  0.889, Validation Accuracy:  0.897, Loss:  0.206
Epoch   9 Batch  177/269 - Train Accuracy:  0.903, Validation Accuracy:  0.897, Loss:  0.182
Epoch   9 Batch  178/269 - Train Accuracy:  0.915, Validation Accuracy:  0.897, Loss:  0.190
Epoch   9 Batch  179/269 - Train Accuracy:  0.896, Validation Accuracy:  0.902, Loss:  0.193
Epoch   9 Batch  180/269 - Train Accuracy:  0.902, Validation Accuracy:  0.900, Loss:  0.192
Epoch   9 Batch  181/269 - Train Accuracy:  0.883, Validation Accuracy:  0.899, Loss:  0.198
Epoch   9 Batch  182/269 - Train Accuracy:  0.901, Validation Accuracy:  0.901, Loss:  0.195
Epoch   9 Batch  183/269 - Train Accuracy:  0.910, Validation Accuracy:  0.902, Loss:  0.164
Epoch   9 Batch  184/269 - Train Accuracy:  0.892, Validation Accuracy:  0.901, Loss:  0.187
Epoch   9 Batch  185/269 - Train Accuracy:  0.914, Validation Accuracy:  0.902, Loss:  0.189
Epoch   9 Batch  186/269 - Train Accuracy:  0.890, Validation Accuracy:  0.901, Loss:  0.185
Epoch   9 Batch  187/269 - Train Accuracy:  0.900, Validation Accuracy:  0.900, Loss:  0.186
Epoch   9 Batch  188/269 - Train Accuracy:  0.901, Validation Accuracy:  0.899, Loss:  0.178
Epoch   9 Batch  189/269 - Train Accuracy:  0.891, Validation Accuracy:  0.899, Loss:  0.183
Epoch   9 Batch  190/269 - Train Accuracy:  0.897, Validation Accuracy:  0.900, Loss:  0.174
Epoch   9 Batch  191/269 - Train Accuracy:  0.887, Validation Accuracy:  0.899, Loss:  0.190
Epoch   9 Batch  192/269 - Train Accuracy:  0.888, Validation Accuracy:  0.899, Loss:  0.193
Epoch   9 Batch  193/269 - Train Accuracy:  0.904, Validation Accuracy:  0.900, Loss:  0.185
Epoch   9 Batch  194/269 - Train Accuracy:  0.893, Validation Accuracy:  0.898, Loss:  0.189
Epoch   9 Batch  195/269 - Train Accuracy:  0.893, Validation Accuracy:  0.900, Loss:  0.184
Epoch   9 Batch  196/269 - Train Accuracy:  0.892, Validation Accuracy:  0.900, Loss:  0.180
Epoch   9 Batch  197/269 - Train Accuracy:  0.893, Validation Accuracy:  0.899, Loss:  0.203
Epoch   9 Batch  198/269 - Train Accuracy:  0.885, Validation Accuracy:  0.900, Loss:  0.196
Epoch   9 Batch  199/269 - Train Accuracy:  0.897, Validation Accuracy:  0.899, Loss:  0.191
Epoch   9 Batch  200/269 - Train Accuracy:  0.890, Validation Accuracy:  0.900, Loss:  0.195
Epoch   9 Batch  201/269 - Train Accuracy:  0.896, Validation Accuracy:  0.896, Loss:  0.189
Epoch   9 Batch  202/269 - Train Accuracy:  0.887, Validation Accuracy:  0.901, Loss:  0.189
Epoch   9 Batch  203/269 - Train Accuracy:  0.899, Validation Accuracy:  0.903, Loss:  0.201
Epoch   9 Batch  204/269 - Train Accuracy:  0.905, Validation Accuracy:  0.900, Loss:  0.194
Epoch   9 Batch  205/269 - Train Accuracy:  0.885, Validation Accuracy:  0.898, Loss:  0.180
Epoch   9 Batch  206/269 - Train Accuracy:  0.869, Validation Accuracy:  0.900, Loss:  0.196
Epoch   9 Batch  207/269 - Train Accuracy:  0.895, Validation Accuracy:  0.899, Loss:  0.178
Epoch   9 Batch  208/269 - Train Accuracy:  0.896, Validation Accuracy:  0.897, Loss:  0.198
Epoch   9 Batch  209/269 - Train Accuracy:  0.910, Validation Accuracy:  0.896, Loss:  0.186
Epoch   9 Batch  210/269 - Train Accuracy:  0.909, Validation Accuracy:  0.894, Loss:  0.184
Epoch   9 Batch  211/269 - Train Accuracy:  0.891, Validation Accuracy:  0.902, Loss:  0.194
Epoch   9 Batch  212/269 - Train Accuracy:  0.896, Validation Accuracy:  0.902, Loss:  0.187
Epoch   9 Batch  213/269 - Train Accuracy:  0.887, Validation Accuracy:  0.900, Loss:  0.187
Epoch   9 Batch  214/269 - Train Accuracy:  0.882, Validation Accuracy:  0.899, Loss:  0.190
Epoch   9 Batch  215/269 - Train Accuracy:  0.909, Validation Accuracy:  0.899, Loss:  0.173
Epoch   9 Batch  216/269 - Train Accuracy:  0.875, Validation Accuracy:  0.898, Loss:  0.202
Epoch   9 Batch  217/269 - Train Accuracy:  0.883, Validation Accuracy:  0.899, Loss:  0.196
Epoch   9 Batch  218/269 - Train Accuracy:  0.898, Validation Accuracy:  0.897, Loss:  0.184
Epoch   9 Batch  219/269 - Train Accuracy:  0.902, Validation Accuracy:  0.897, Loss:  0.201
Epoch   9 Batch  220/269 - Train Accuracy:  0.906, Validation Accuracy:  0.902, Loss:  0.174
Epoch   9 Batch  221/269 - Train Accuracy:  0.901, Validation Accuracy:  0.901, Loss:  0.188
Epoch   9 Batch  222/269 - Train Accuracy:  0.920, Validation Accuracy:  0.903, Loss:  0.176
Epoch   9 Batch  223/269 - Train Accuracy:  0.889, Validation Accuracy:  0.902, Loss:  0.174
Epoch   9 Batch  224/269 - Train Accuracy:  0.895, Validation Accuracy:  0.900, Loss:  0.201
Epoch   9 Batch  225/269 - Train Accuracy:  0.887, Validation Accuracy:  0.900, Loss:  0.185
Epoch   9 Batch  226/269 - Train Accuracy:  0.898, Validation Accuracy:  0.899, Loss:  0.188
Epoch   9 Batch  227/269 - Train Accuracy:  0.913, Validation Accuracy:  0.900, Loss:  0.176
Epoch   9 Batch  228/269 - Train Accuracy:  0.892, Validation Accuracy:  0.900, Loss:  0.184
Epoch   9 Batch  229/269 - Train Accuracy:  0.899, Validation Accuracy:  0.900, Loss:  0.179
Epoch   9 Batch  230/269 - Train Accuracy:  0.905, Validation Accuracy:  0.899, Loss:  0.177
Epoch   9 Batch  231/269 - Train Accuracy:  0.893, Validation Accuracy:  0.902, Loss:  0.198
Epoch   9 Batch  232/269 - Train Accuracy:  0.895, Validation Accuracy:  0.901, Loss:  0.183
Epoch   9 Batch  233/269 - Train Accuracy:  0.910, Validation Accuracy:  0.902, Loss:  0.188
Epoch   9 Batch  234/269 - Train Accuracy:  0.912, Validation Accuracy:  0.902, Loss:  0.177
Epoch   9 Batch  235/269 - Train Accuracy:  0.916, Validation Accuracy:  0.905, Loss:  0.176
Epoch   9 Batch  236/269 - Train Accuracy:  0.898, Validation Accuracy:  0.901, Loss:  0.176
Epoch   9 Batch  237/269 - Train Accuracy:  0.909, Validation Accuracy:  0.899, Loss:  0.179
Epoch   9 Batch  238/269 - Train Accuracy:  0.904, Validation Accuracy:  0.903, Loss:  0.180
Epoch   9 Batch  239/269 - Train Accuracy:  0.905, Validation Accuracy:  0.907, Loss:  0.179
Epoch   9 Batch  240/269 - Train Accuracy:  0.913, Validation Accuracy:  0.905, Loss:  0.170
Epoch   9 Batch  241/269 - Train Accuracy:  0.898, Validation Accuracy:  0.903, Loss:  0.198
Epoch   9 Batch  242/269 - Train Accuracy:  0.910, Validation Accuracy:  0.902, Loss:  0.175
Epoch   9 Batch  243/269 - Train Accuracy:  0.906, Validation Accuracy:  0.900, Loss:  0.175
Epoch   9 Batch  244/269 - Train Accuracy:  0.904, Validation Accuracy:  0.905, Loss:  0.175
Epoch   9 Batch  245/269 - Train Accuracy:  0.887, Validation Accuracy:  0.905, Loss:  0.190
Epoch   9 Batch  246/269 - Train Accuracy:  0.891, Validation Accuracy:  0.901, Loss:  0.180
Epoch   9 Batch  247/269 - Train Accuracy:  0.910, Validation Accuracy:  0.904, Loss:  0.179
Epoch   9 Batch  248/269 - Train Accuracy:  0.907, Validation Accuracy:  0.902, Loss:  0.175
Epoch   9 Batch  249/269 - Train Accuracy:  0.903, Validation Accuracy:  0.903, Loss:  0.169
Epoch   9 Batch  250/269 - Train Accuracy:  0.912, Validation Accuracy:  0.904, Loss:  0.182
Epoch   9 Batch  251/269 - Train Accuracy:  0.919, Validation Accuracy:  0.907, Loss:  0.179
Epoch   9 Batch  252/269 - Train Accuracy:  0.906, Validation Accuracy:  0.906, Loss:  0.174
Epoch   9 Batch  253/269 - Train Accuracy:  0.881, Validation Accuracy:  0.904, Loss:  0.186
Epoch   9 Batch  254/269 - Train Accuracy:  0.907, Validation Accuracy:  0.907, Loss:  0.175
Epoch   9 Batch  255/269 - Train Accuracy:  0.899, Validation Accuracy:  0.908, Loss:  0.184
Epoch   9 Batch  256/269 - Train Accuracy:  0.900, Validation Accuracy:  0.910, Loss:  0.173
Epoch   9 Batch  257/269 - Train Accuracy:  0.884, Validation Accuracy:  0.906, Loss:  0.184
Epoch   9 Batch  258/269 - Train Accuracy:  0.890, Validation Accuracy:  0.910, Loss:  0.186
Epoch   9 Batch  259/269 - Train Accuracy:  0.906, Validation Accuracy:  0.909, Loss:  0.179
Epoch   9 Batch  260/269 - Train Accuracy:  0.889, Validation Accuracy:  0.907, Loss:  0.183
Epoch   9 Batch  261/269 - Train Accuracy:  0.898, Validation Accuracy:  0.907, Loss:  0.179
Epoch   9 Batch  262/269 - Train Accuracy:  0.907, Validation Accuracy:  0.907, Loss:  0.179
Epoch   9 Batch  263/269 - Train Accuracy:  0.903, Validation Accuracy:  0.904, Loss:  0.177
Epoch   9 Batch  264/269 - Train Accuracy:  0.870, Validation Accuracy:  0.904, Loss:  0.194
Epoch   9 Batch  265/269 - Train Accuracy:  0.904, Validation Accuracy:  0.902, Loss:  0.176
Epoch   9 Batch  266/269 - Train Accuracy:  0.904, Validation Accuracy:  0.904, Loss:  0.174
Epoch   9 Batch  267/269 - Train Accuracy:  0.902, Validation Accuracy:  0.909, Loss:  0.190
Epoch  10 Batch    0/269 - Train Accuracy:  0.897, Validation Accuracy:  0.907, Loss:  0.189
Epoch  10 Batch    1/269 - Train Accuracy:  0.904, Validation Accuracy:  0.909, Loss:  0.187
Epoch  10 Batch    2/269 - Train Accuracy:  0.902, Validation Accuracy:  0.907, Loss:  0.178
Epoch  10 Batch    3/269 - Train Accuracy:  0.903, Validation Accuracy:  0.900, Loss:  0.186
Epoch  10 Batch    4/269 - Train Accuracy:  0.890, Validation Accuracy:  0.897, Loss:  0.180
Epoch  10 Batch    5/269 - Train Accuracy:  0.894, Validation Accuracy:  0.900, Loss:  0.182
Epoch  10 Batch    6/269 - Train Accuracy:  0.912, Validation Accuracy:  0.891, Loss:  0.166
Epoch  10 Batch    7/269 - Train Accuracy:  0.902, Validation Accuracy:  0.889, Loss:  0.176
Epoch  10 Batch    8/269 - Train Accuracy:  0.904, Validation Accuracy:  0.896, Loss:  0.181
Epoch  10 Batch    9/269 - Train Accuracy:  0.904, Validation Accuracy:  0.899, Loss:  0.184
Epoch  10 Batch   10/269 - Train Accuracy:  0.899, Validation Accuracy:  0.896, Loss:  0.170
Epoch  10 Batch   11/269 - Train Accuracy:  0.900, Validation Accuracy:  0.898, Loss:  0.190
Epoch  10 Batch   12/269 - Train Accuracy:  0.899, Validation Accuracy:  0.900, Loss:  0.192
Epoch  10 Batch   13/269 - Train Accuracy:  0.901, Validation Accuracy:  0.897, Loss:  0.161
Epoch  10 Batch   14/269 - Train Accuracy:  0.892, Validation Accuracy:  0.901, Loss:  0.177
Epoch  10 Batch   15/269 - Train Accuracy:  0.907, Validation Accuracy:  0.899, Loss:  0.157
Epoch  10 Batch   16/269 - Train Accuracy:  0.895, Validation Accuracy:  0.904, Loss:  0.173
Epoch  10 Batch   17/269 - Train Accuracy:  0.902, Validation Accuracy:  0.906, Loss:  0.159
Epoch  10 Batch   18/269 - Train Accuracy:  0.889, Validation Accuracy:  0.906, Loss:  0.177
Epoch  10 Batch   19/269 - Train Accuracy:  0.915, Validation Accuracy:  0.902, Loss:  0.159
Epoch  10 Batch   20/269 - Train Accuracy:  0.918, Validation Accuracy:  0.902, Loss:  0.171
Epoch  10 Batch   21/269 - Train Accuracy:  0.880, Validation Accuracy:  0.902, Loss:  0.189
Epoch  10 Batch   22/269 - Train Accuracy:  0.914, Validation Accuracy:  0.902, Loss:  0.169
Epoch  10 Batch   23/269 - Train Accuracy:  0.894, Validation Accuracy:  0.905, Loss:  0.178
Epoch  10 Batch   24/269 - Train Accuracy:  0.899, Validation Accuracy:  0.906, Loss:  0.184
Epoch  10 Batch   25/269 - Train Accuracy:  0.888, Validation Accuracy:  0.906, Loss:  0.190
Epoch  10 Batch   26/269 - Train Accuracy:  0.899, Validation Accuracy:  0.908, Loss:  0.159
Epoch  10 Batch   27/269 - Train Accuracy:  0.897, Validation Accuracy:  0.910, Loss:  0.177
Epoch  10 Batch   28/269 - Train Accuracy:  0.878, Validation Accuracy:  0.907, Loss:  0.187
Epoch  10 Batch   29/269 - Train Accuracy:  0.908, Validation Accuracy:  0.906, Loss:  0.181
Epoch  10 Batch   30/269 - Train Accuracy:  0.898, Validation Accuracy:  0.906, Loss:  0.167
Epoch  10 Batch   31/269 - Train Accuracy:  0.911, Validation Accuracy:  0.906, Loss:  0.169
Epoch  10 Batch   32/269 - Train Accuracy:  0.906, Validation Accuracy:  0.909, Loss:  0.173
Epoch  10 Batch   33/269 - Train Accuracy:  0.918, Validation Accuracy:  0.910, Loss:  0.157
Epoch  10 Batch   34/269 - Train Accuracy:  0.908, Validation Accuracy:  0.909, Loss:  0.172
Epoch  10 Batch   35/269 - Train Accuracy:  0.907, Validation Accuracy:  0.912, Loss:  0.183
Epoch  10 Batch   36/269 - Train Accuracy:  0.908, Validation Accuracy:  0.911, Loss:  0.177
Epoch  10 Batch   37/269 - Train Accuracy:  0.895, Validation Accuracy:  0.910, Loss:  0.175
Epoch  10 Batch   38/269 - Train Accuracy:  0.904, Validation Accuracy:  0.910, Loss:  0.177
Epoch  10 Batch   39/269 - Train Accuracy:  0.901, Validation Accuracy:  0.907, Loss:  0.168
Epoch  10 Batch   40/269 - Train Accuracy:  0.883, Validation Accuracy:  0.909, Loss:  0.177
Epoch  10 Batch   41/269 - Train Accuracy:  0.898, Validation Accuracy:  0.910, Loss:  0.176
Epoch  10 Batch   42/269 - Train Accuracy:  0.912, Validation Accuracy:  0.910, Loss:  0.160
Epoch  10 Batch   43/269 - Train Accuracy:  0.911, Validation Accuracy:  0.910, Loss:  0.178
Epoch  10 Batch   44/269 - Train Accuracy:  0.906, Validation Accuracy:  0.909, Loss:  0.175
Epoch  10 Batch   45/269 - Train Accuracy:  0.904, Validation Accuracy:  0.910, Loss:  0.176
Epoch  10 Batch   46/269 - Train Accuracy:  0.893, Validation Accuracy:  0.909, Loss:  0.169
Epoch  10 Batch   47/269 - Train Accuracy:  0.908, Validation Accuracy:  0.907, Loss:  0.159
Epoch  10 Batch   48/269 - Train Accuracy:  0.915, Validation Accuracy:  0.905, Loss:  0.164
Epoch  10 Batch   49/269 - Train Accuracy:  0.907, Validation Accuracy:  0.907, Loss:  0.170
Epoch  10 Batch   50/269 - Train Accuracy:  0.886, Validation Accuracy:  0.905, Loss:  0.194
Epoch  10 Batch   51/269 - Train Accuracy:  0.916, Validation Accuracy:  0.909, Loss:  0.171
Epoch  10 Batch   52/269 - Train Accuracy:  0.898, Validation Accuracy:  0.910, Loss:  0.158
Epoch  10 Batch   53/269 - Train Accuracy:  0.898, Validation Accuracy:  0.908, Loss:  0.184
Epoch  10 Batch   54/269 - Train Accuracy:  0.920, Validation Accuracy:  0.907, Loss:  0.175
Epoch  10 Batch   55/269 - Train Accuracy:  0.908, Validation Accuracy:  0.909, Loss:  0.161
Epoch  10 Batch   56/269 - Train Accuracy:  0.906, Validation Accuracy:  0.909, Loss:  0.177
Epoch  10 Batch   57/269 - Train Accuracy:  0.903, Validation Accuracy:  0.908, Loss:  0.179
Epoch  10 Batch   58/269 - Train Accuracy:  0.912, Validation Accuracy:  0.906, Loss:  0.166
Epoch  10 Batch   59/269 - Train Accuracy:  0.914, Validation Accuracy:  0.904, Loss:  0.154
Epoch  10 Batch   60/269 - Train Accuracy:  0.903, Validation Accuracy:  0.905, Loss:  0.160
Epoch  10 Batch   61/269 - Train Accuracy:  0.924, Validation Accuracy:  0.908, Loss:  0.158
Epoch  10 Batch   62/269 - Train Accuracy:  0.902, Validation Accuracy:  0.908, Loss:  0.170
Epoch  10 Batch   63/269 - Train Accuracy:  0.906, Validation Accuracy:  0.909, Loss:  0.179
Epoch  10 Batch   64/269 - Train Accuracy:  0.906, Validation Accuracy:  0.911, Loss:  0.159
Epoch  10 Batch   65/269 - Train Accuracy:  0.900, Validation Accuracy:  0.914, Loss:  0.174
Epoch  10 Batch   66/269 - Train Accuracy:  0.907, Validation Accuracy:  0.910, Loss:  0.165
Epoch  10 Batch   67/269 - Train Accuracy:  0.899, Validation Accuracy:  0.910, Loss:  0.172
Epoch  10 Batch   68/269 - Train Accuracy:  0.889, Validation Accuracy:  0.904, Loss:  0.177
Epoch  10 Batch   69/269 - Train Accuracy:  0.881, Validation Accuracy:  0.904, Loss:  0.199
Epoch  10 Batch   70/269 - Train Accuracy:  0.903, Validation Accuracy:  0.908, Loss:  0.179
Epoch  10 Batch   71/269 - Train Accuracy:  0.910, Validation Accuracy:  0.908, Loss:  0.184
Epoch  10 Batch   72/269 - Train Accuracy:  0.896, Validation Accuracy:  0.907, Loss:  0.178
Epoch  10 Batch   73/269 - Train Accuracy:  0.899, Validation Accuracy:  0.906, Loss:  0.181
Epoch  10 Batch   74/269 - Train Accuracy:  0.915, Validation Accuracy:  0.911, Loss:  0.174
Epoch  10 Batch   75/269 - Train Accuracy:  0.909, Validation Accuracy:  0.912, Loss:  0.171
Epoch  10 Batch   76/269 - Train Accuracy:  0.901, Validation Accuracy:  0.907, Loss:  0.166
Epoch  10 Batch   77/269 - Train Accuracy:  0.902, Validation Accuracy:  0.904, Loss:  0.169
Epoch  10 Batch   78/269 - Train Accuracy:  0.896, Validation Accuracy:  0.907, Loss:  0.174
Epoch  10 Batch   79/269 - Train Accuracy:  0.893, Validation Accuracy:  0.912, Loss:  0.167
Epoch  10 Batch   80/269 - Train Accuracy:  0.900, Validation Accuracy:  0.910, Loss:  0.169
Epoch  10 Batch   81/269 - Train Accuracy:  0.882, Validation Accuracy:  0.909, Loss:  0.179
Epoch  10 Batch   82/269 - Train Accuracy:  0.917, Validation Accuracy:  0.907, Loss:  0.163
Epoch  10 Batch   83/269 - Train Accuracy:  0.891, Validation Accuracy:  0.903, Loss:  0.170
Epoch  10 Batch   84/269 - Train Accuracy:  0.904, Validation Accuracy:  0.905, Loss:  0.173
Epoch  10 Batch   85/269 - Train Accuracy:  0.912, Validation Accuracy:  0.906, Loss:  0.163
Epoch  10 Batch   86/269 - Train Accuracy:  0.905, Validation Accuracy:  0.905, Loss:  0.166
Epoch  10 Batch   87/269 - Train Accuracy:  0.895, Validation Accuracy:  0.904, Loss:  0.180
Epoch  10 Batch   88/269 - Train Accuracy:  0.882, Validation Accuracy:  0.902, Loss:  0.173
Epoch  10 Batch   89/269 - Train Accuracy:  0.910, Validation Accuracy:  0.904, Loss:  0.165
Epoch  10 Batch   90/269 - Train Accuracy:  0.908, Validation Accuracy:  0.906, Loss:  0.174
Epoch  10 Batch   91/269 - Train Accuracy:  0.916, Validation Accuracy:  0.905, Loss:  0.161
Epoch  10 Batch   92/269 - Train Accuracy:  0.913, Validation Accuracy:  0.907, Loss:  0.163
Epoch  10 Batch   93/269 - Train Accuracy:  0.914, Validation Accuracy:  0.905, Loss:  0.154
Epoch  10 Batch   94/269 - Train Accuracy:  0.901, Validation Accuracy:  0.904, Loss:  0.180
Epoch  10 Batch   95/269 - Train Accuracy:  0.898, Validation Accuracy:  0.903, Loss:  0.160
Epoch  10 Batch   96/269 - Train Accuracy:  0.885, Validation Accuracy:  0.902, Loss:  0.167
Epoch  10 Batch   97/269 - Train Accuracy:  0.903, Validation Accuracy:  0.901, Loss:  0.168
Epoch  10 Batch   98/269 - Train Accuracy:  0.907, Validation Accuracy:  0.901, Loss:  0.160
Epoch  10 Batch   99/269 - Train Accuracy:  0.905, Validation Accuracy:  0.906, Loss:  0.171
Epoch  10 Batch  100/269 - Train Accuracy:  0.908, Validation Accuracy:  0.907, Loss:  0.165
Epoch  10 Batch  101/269 - Train Accuracy:  0.901, Validation Accuracy:  0.909, Loss:  0.182
Epoch  10 Batch  102/269 - Train Accuracy:  0.909, Validation Accuracy:  0.908, Loss:  0.166
Epoch  10 Batch  103/269 - Train Accuracy:  0.898, Validation Accuracy:  0.908, Loss:  0.177
Epoch  10 Batch  104/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.163
Epoch  10 Batch  105/269 - Train Accuracy:  0.894, Validation Accuracy:  0.910, Loss:  0.167
Epoch  10 Batch  106/269 - Train Accuracy:  0.909, Validation Accuracy:  0.907, Loss:  0.159
Epoch  10 Batch  107/269 - Train Accuracy:  0.913, Validation Accuracy:  0.908, Loss:  0.165
Epoch  10 Batch  108/269 - Train Accuracy:  0.910, Validation Accuracy:  0.906, Loss:  0.162
Epoch  10 Batch  109/269 - Train Accuracy:  0.891, Validation Accuracy:  0.905, Loss:  0.168
Epoch  10 Batch  110/269 - Train Accuracy:  0.898, Validation Accuracy:  0.908, Loss:  0.160
Epoch  10 Batch  111/269 - Train Accuracy:  0.903, Validation Accuracy:  0.908, Loss:  0.178
Epoch  10 Batch  112/269 - Train Accuracy:  0.905, Validation Accuracy:  0.907, Loss:  0.166
Epoch  10 Batch  113/269 - Train Accuracy:  0.899, Validation Accuracy:  0.909, Loss:  0.163
Epoch  10 Batch  114/269 - Train Accuracy:  0.895, Validation Accuracy:  0.907, Loss:  0.161
Epoch  10 Batch  115/269 - Train Accuracy:  0.897, Validation Accuracy:  0.909, Loss:  0.162
Epoch  10 Batch  116/269 - Train Accuracy:  0.907, Validation Accuracy:  0.904, Loss:  0.175
Epoch  10 Batch  117/269 - Train Accuracy:  0.908, Validation Accuracy:  0.903, Loss:  0.161
Epoch  10 Batch  118/269 - Train Accuracy:  0.913, Validation Accuracy:  0.903, Loss:  0.158
Epoch  10 Batch  119/269 - Train Accuracy:  0.889, Validation Accuracy:  0.906, Loss:  0.183
Epoch  10 Batch  120/269 - Train Accuracy:  0.895, Validation Accuracy:  0.907, Loss:  0.166
Epoch  10 Batch  121/269 - Train Accuracy:  0.902, Validation Accuracy:  0.912, Loss:  0.153
Epoch  10 Batch  122/269 - Train Accuracy:  0.898, Validation Accuracy:  0.911, Loss:  0.166
Epoch  10 Batch  123/269 - Train Accuracy:  0.902, Validation Accuracy:  0.912, Loss:  0.169
Epoch  10 Batch  124/269 - Train Accuracy:  0.897, Validation Accuracy:  0.906, Loss:  0.160
Epoch  10 Batch  125/269 - Train Accuracy:  0.917, Validation Accuracy:  0.904, Loss:  0.153
Epoch  10 Batch  126/269 - Train Accuracy:  0.884, Validation Accuracy:  0.900, Loss:  0.160
Epoch  10 Batch  127/269 - Train Accuracy:  0.898, Validation Accuracy:  0.902, Loss:  0.168
Epoch  10 Batch  128/269 - Train Accuracy:  0.899, Validation Accuracy:  0.909, Loss:  0.159
Epoch  10 Batch  129/269 - Train Accuracy:  0.894, Validation Accuracy:  0.906, Loss:  0.169
Epoch  10 Batch  130/269 - Train Accuracy:  0.899, Validation Accuracy:  0.904, Loss:  0.171
Epoch  10 Batch  131/269 - Train Accuracy:  0.890, Validation Accuracy:  0.902, Loss:  0.167
Epoch  10 Batch  132/269 - Train Accuracy:  0.892, Validation Accuracy:  0.905, Loss:  0.165
Epoch  10 Batch  133/269 - Train Accuracy:  0.911, Validation Accuracy:  0.903, Loss:  0.156
Epoch  10 Batch  134/269 - Train Accuracy:  0.914, Validation Accuracy:  0.898, Loss:  0.164
Epoch  10 Batch  135/269 - Train Accuracy:  0.909, Validation Accuracy:  0.901, Loss:  0.175
Epoch  10 Batch  136/269 - Train Accuracy:  0.879, Validation Accuracy:  0.907, Loss:  0.181
Epoch  10 Batch  137/269 - Train Accuracy:  0.891, Validation Accuracy:  0.908, Loss:  0.181
Epoch  10 Batch  138/269 - Train Accuracy:  0.900, Validation Accuracy:  0.906, Loss:  0.157
Epoch  10 Batch  139/269 - Train Accuracy:  0.903, Validation Accuracy:  0.904, Loss:  0.153
Epoch  10 Batch  140/269 - Train Accuracy:  0.901, Validation Accuracy:  0.904, Loss:  0.164
Epoch  10 Batch  141/269 - Train Accuracy:  0.901, Validation Accuracy:  0.902, Loss:  0.168
Epoch  10 Batch  142/269 - Train Accuracy:  0.902, Validation Accuracy:  0.904, Loss:  0.160
Epoch  10 Batch  143/269 - Train Accuracy:  0.915, Validation Accuracy:  0.904, Loss:  0.159
Epoch  10 Batch  144/269 - Train Accuracy:  0.910, Validation Accuracy:  0.904, Loss:  0.149
Epoch  10 Batch  145/269 - Train Accuracy:  0.906, Validation Accuracy:  0.906, Loss:  0.154
Epoch  10 Batch  146/269 - Train Accuracy:  0.900, Validation Accuracy:  0.906, Loss:  0.161
Epoch  10 Batch  147/269 - Train Accuracy:  0.903, Validation Accuracy:  0.907, Loss:  0.158
Epoch  10 Batch  148/269 - Train Accuracy:  0.908, Validation Accuracy:  0.910, Loss:  0.167
Epoch  10 Batch  149/269 - Train Accuracy:  0.892, Validation Accuracy:  0.910, Loss:  0.172
Epoch  10 Batch  150/269 - Train Accuracy:  0.892, Validation Accuracy:  0.910, Loss:  0.164
Epoch  10 Batch  151/269 - Train Accuracy:  0.903, Validation Accuracy:  0.910, Loss:  0.159
Epoch  10 Batch  152/269 - Train Accuracy:  0.904, Validation Accuracy:  0.910, Loss:  0.159
Epoch  10 Batch  153/269 - Train Accuracy:  0.917, Validation Accuracy:  0.912, Loss:  0.162
Epoch  10 Batch  154/269 - Train Accuracy:  0.913, Validation Accuracy:  0.912, Loss:  0.162
Epoch  10 Batch  155/269 - Train Accuracy:  0.905, Validation Accuracy:  0.913, Loss:  0.157
Epoch  10 Batch  156/269 - Train Accuracy:  0.910, Validation Accuracy:  0.912, Loss:  0.170
Epoch  10 Batch  157/269 - Train Accuracy:  0.892, Validation Accuracy:  0.910, Loss:  0.153
Epoch  10 Batch  158/269 - Train Accuracy:  0.912, Validation Accuracy:  0.911, Loss:  0.164
Epoch  10 Batch  159/269 - Train Accuracy:  0.896, Validation Accuracy:  0.909, Loss:  0.170
Epoch  10 Batch  160/269 - Train Accuracy:  0.905, Validation Accuracy:  0.911, Loss:  0.163
Epoch  10 Batch  161/269 - Train Accuracy:  0.913, Validation Accuracy:  0.909, Loss:  0.157
Epoch  10 Batch  162/269 - Train Accuracy:  0.906, Validation Accuracy:  0.908, Loss:  0.152
Epoch  10 Batch  163/269 - Train Accuracy:  0.913, Validation Accuracy:  0.903, Loss:  0.165
Epoch  10 Batch  164/269 - Train Accuracy:  0.919, Validation Accuracy:  0.906, Loss:  0.157
Epoch  10 Batch  165/269 - Train Accuracy:  0.908, Validation Accuracy:  0.910, Loss:  0.158
Epoch  10 Batch  166/269 - Train Accuracy:  0.913, Validation Accuracy:  0.907, Loss:  0.155
Epoch  10 Batch  167/269 - Train Accuracy:  0.900, Validation Accuracy:  0.908, Loss:  0.159
Epoch  10 Batch  168/269 - Train Accuracy:  0.908, Validation Accuracy:  0.909, Loss:  0.167
Epoch  10 Batch  169/269 - Train Accuracy:  0.891, Validation Accuracy:  0.910, Loss:  0.163
Epoch  10 Batch  170/269 - Train Accuracy:  0.912, Validation Accuracy:  0.912, Loss:  0.156
Epoch  10 Batch  171/269 - Train Accuracy:  0.927, Validation Accuracy:  0.909, Loss:  0.165
Epoch  10 Batch  172/269 - Train Accuracy:  0.903, Validation Accuracy:  0.904, Loss:  0.166
Epoch  10 Batch  173/269 - Train Accuracy:  0.918, Validation Accuracy:  0.903, Loss:  0.149
Epoch  10 Batch  174/269 - Train Accuracy:  0.913, Validation Accuracy:  0.903, Loss:  0.154
Epoch  10 Batch  175/269 - Train Accuracy:  0.899, Validation Accuracy:  0.905, Loss:  0.180
Epoch  10 Batch  176/269 - Train Accuracy:  0.901, Validation Accuracy:  0.902, Loss:  0.176
Epoch  10 Batch  177/269 - Train Accuracy:  0.914, Validation Accuracy:  0.909, Loss:  0.156
Epoch  10 Batch  178/269 - Train Accuracy:  0.918, Validation Accuracy:  0.913, Loss:  0.155
Epoch  10 Batch  179/269 - Train Accuracy:  0.904, Validation Accuracy:  0.915, Loss:  0.154
Epoch  10 Batch  180/269 - Train Accuracy:  0.914, Validation Accuracy:  0.915, Loss:  0.156
Epoch  10 Batch  181/269 - Train Accuracy:  0.906, Validation Accuracy:  0.913, Loss:  0.160
Epoch  10 Batch  182/269 - Train Accuracy:  0.915, Validation Accuracy:  0.914, Loss:  0.159
Epoch  10 Batch  183/269 - Train Accuracy:  0.917, Validation Accuracy:  0.913, Loss:  0.134
Epoch  10 Batch  184/269 - Train Accuracy:  0.911, Validation Accuracy:  0.916, Loss:  0.156
Epoch  10 Batch  185/269 - Train Accuracy:  0.926, Validation Accuracy:  0.915, Loss:  0.158
Epoch  10 Batch  186/269 - Train Accuracy:  0.903, Validation Accuracy:  0.912, Loss:  0.158
Epoch  10 Batch  187/269 - Train Accuracy:  0.911, Validation Accuracy:  0.912, Loss:  0.156
Epoch  10 Batch  188/269 - Train Accuracy:  0.913, Validation Accuracy:  0.912, Loss:  0.152
Epoch  10 Batch  189/269 - Train Accuracy:  0.913, Validation Accuracy:  0.911, Loss:  0.150
Epoch  10 Batch  190/269 - Train Accuracy:  0.910, Validation Accuracy:  0.910, Loss:  0.148
Epoch  10 Batch  191/269 - Train Accuracy:  0.903, Validation Accuracy:  0.911, Loss:  0.153
Epoch  10 Batch  192/269 - Train Accuracy:  0.905, Validation Accuracy:  0.910, Loss:  0.156
Epoch  10 Batch  193/269 - Train Accuracy:  0.911, Validation Accuracy:  0.911, Loss:  0.147
Epoch  10 Batch  194/269 - Train Accuracy:  0.904, Validation Accuracy:  0.910, Loss:  0.160
Epoch  10 Batch  195/269 - Train Accuracy:  0.901, Validation Accuracy:  0.912, Loss:  0.162
Epoch  10 Batch  196/269 - Train Accuracy:  0.899, Validation Accuracy:  0.910, Loss:  0.151
Epoch  10 Batch  197/269 - Train Accuracy:  0.898, Validation Accuracy:  0.911, Loss:  0.169
Epoch  10 Batch  198/269 - Train Accuracy:  0.892, Validation Accuracy:  0.909, Loss:  0.166
Epoch  10 Batch  199/269 - Train Accuracy:  0.907, Validation Accuracy:  0.913, Loss:  0.163
Epoch  10 Batch  200/269 - Train Accuracy:  0.902, Validation Accuracy:  0.914, Loss:  0.163
Epoch  10 Batch  201/269 - Train Accuracy:  0.907, Validation Accuracy:  0.913, Loss:  0.157
Epoch  10 Batch  202/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.152
Epoch  10 Batch  203/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.170
Epoch  10 Batch  204/269 - Train Accuracy:  0.921, Validation Accuracy:  0.915, Loss:  0.166
Epoch  10 Batch  205/269 - Train Accuracy:  0.899, Validation Accuracy:  0.916, Loss:  0.156
Epoch  10 Batch  206/269 - Train Accuracy:  0.889, Validation Accuracy:  0.919, Loss:  0.166
Epoch  10 Batch  207/269 - Train Accuracy:  0.904, Validation Accuracy:  0.917, Loss:  0.155
Epoch  10 Batch  208/269 - Train Accuracy:  0.910, Validation Accuracy:  0.911, Loss:  0.164
Epoch  10 Batch  209/269 - Train Accuracy:  0.931, Validation Accuracy:  0.908, Loss:  0.152
Epoch  10 Batch  210/269 - Train Accuracy:  0.908, Validation Accuracy:  0.909, Loss:  0.157
Epoch  10 Batch  211/269 - Train Accuracy:  0.908, Validation Accuracy:  0.914, Loss:  0.160
Epoch  10 Batch  212/269 - Train Accuracy:  0.902, Validation Accuracy:  0.912, Loss:  0.159
Epoch  10 Batch  213/269 - Train Accuracy:  0.897, Validation Accuracy:  0.912, Loss:  0.154
Epoch  10 Batch  214/269 - Train Accuracy:  0.896, Validation Accuracy:  0.912, Loss:  0.155
Epoch  10 Batch  215/269 - Train Accuracy:  0.919, Validation Accuracy:  0.912, Loss:  0.144
Epoch  10 Batch  216/269 - Train Accuracy:  0.898, Validation Accuracy:  0.910, Loss:  0.173
Epoch  10 Batch  217/269 - Train Accuracy:  0.902, Validation Accuracy:  0.912, Loss:  0.161
Epoch  10 Batch  218/269 - Train Accuracy:  0.913, Validation Accuracy:  0.913, Loss:  0.160
Epoch  10 Batch  219/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.162
Epoch  10 Batch  220/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.150
Epoch  10 Batch  221/269 - Train Accuracy:  0.910, Validation Accuracy:  0.912, Loss:  0.166
Epoch  10 Batch  222/269 - Train Accuracy:  0.929, Validation Accuracy:  0.911, Loss:  0.145
Epoch  10 Batch  223/269 - Train Accuracy:  0.902, Validation Accuracy:  0.913, Loss:  0.145
Epoch  10 Batch  224/269 - Train Accuracy:  0.906, Validation Accuracy:  0.911, Loss:  0.165
Epoch  10 Batch  225/269 - Train Accuracy:  0.899, Validation Accuracy:  0.910, Loss:  0.150
Epoch  10 Batch  226/269 - Train Accuracy:  0.906, Validation Accuracy:  0.912, Loss:  0.159
Epoch  10 Batch  227/269 - Train Accuracy:  0.927, Validation Accuracy:  0.914, Loss:  0.154
Epoch  10 Batch  228/269 - Train Accuracy:  0.896, Validation Accuracy:  0.914, Loss:  0.155
Epoch  10 Batch  229/269 - Train Accuracy:  0.906, Validation Accuracy:  0.917, Loss:  0.155
Epoch  10 Batch  230/269 - Train Accuracy:  0.915, Validation Accuracy:  0.918, Loss:  0.153
Epoch  10 Batch  231/269 - Train Accuracy:  0.902, Validation Accuracy:  0.920, Loss:  0.156
Epoch  10 Batch  232/269 - Train Accuracy:  0.915, Validation Accuracy:  0.921, Loss:  0.157
Epoch  10 Batch  233/269 - Train Accuracy:  0.923, Validation Accuracy:  0.917, Loss:  0.159
Epoch  10 Batch  234/269 - Train Accuracy:  0.916, Validation Accuracy:  0.916, Loss:  0.149
Epoch  10 Batch  235/269 - Train Accuracy:  0.934, Validation Accuracy:  0.915, Loss:  0.145
Epoch  10 Batch  236/269 - Train Accuracy:  0.904, Validation Accuracy:  0.917, Loss:  0.149
Epoch  10 Batch  237/269 - Train Accuracy:  0.912, Validation Accuracy:  0.915, Loss:  0.147
Epoch  10 Batch  238/269 - Train Accuracy:  0.917, Validation Accuracy:  0.918, Loss:  0.153
Epoch  10 Batch  239/269 - Train Accuracy:  0.910, Validation Accuracy:  0.916, Loss:  0.151
Epoch  10 Batch  240/269 - Train Accuracy:  0.914, Validation Accuracy:  0.912, Loss:  0.141
Epoch  10 Batch  241/269 - Train Accuracy:  0.905, Validation Accuracy:  0.912, Loss:  0.167
Epoch  10 Batch  242/269 - Train Accuracy:  0.917, Validation Accuracy:  0.910, Loss:  0.146
Epoch  10 Batch  243/269 - Train Accuracy:  0.925, Validation Accuracy:  0.912, Loss:  0.145
Epoch  10 Batch  244/269 - Train Accuracy:  0.908, Validation Accuracy:  0.912, Loss:  0.145
Epoch  10 Batch  245/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.155
Epoch  10 Batch  246/269 - Train Accuracy:  0.899, Validation Accuracy:  0.910, Loss:  0.159
Epoch  10 Batch  247/269 - Train Accuracy:  0.922, Validation Accuracy:  0.913, Loss:  0.149
Epoch  10 Batch  248/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.149
Epoch  10 Batch  249/269 - Train Accuracy:  0.913, Validation Accuracy:  0.912, Loss:  0.142
Epoch  10 Batch  250/269 - Train Accuracy:  0.910, Validation Accuracy:  0.913, Loss:  0.151
Epoch  10 Batch  251/269 - Train Accuracy:  0.931, Validation Accuracy:  0.909, Loss:  0.148
Epoch  10 Batch  252/269 - Train Accuracy:  0.910, Validation Accuracy:  0.910, Loss:  0.141
Epoch  10 Batch  253/269 - Train Accuracy:  0.889, Validation Accuracy:  0.910, Loss:  0.162
Epoch  10 Batch  254/269 - Train Accuracy:  0.914, Validation Accuracy:  0.916, Loss:  0.150
Epoch  10 Batch  255/269 - Train Accuracy:  0.908, Validation Accuracy:  0.916, Loss:  0.150
Epoch  10 Batch  256/269 - Train Accuracy:  0.904, Validation Accuracy:  0.916, Loss:  0.143
Epoch  10 Batch  257/269 - Train Accuracy:  0.893, Validation Accuracy:  0.912, Loss:  0.158
Epoch  10 Batch  258/269 - Train Accuracy:  0.889, Validation Accuracy:  0.909, Loss:  0.161
Epoch  10 Batch  259/269 - Train Accuracy:  0.910, Validation Accuracy:  0.908, Loss:  0.145
Epoch  10 Batch  260/269 - Train Accuracy:  0.896, Validation Accuracy:  0.910, Loss:  0.157
Epoch  10 Batch  261/269 - Train Accuracy:  0.907, Validation Accuracy:  0.914, Loss:  0.148
Epoch  10 Batch  262/269 - Train Accuracy:  0.918, Validation Accuracy:  0.917, Loss:  0.157
Epoch  10 Batch  263/269 - Train Accuracy:  0.919, Validation Accuracy:  0.913, Loss:  0.162
Epoch  10 Batch  264/269 - Train Accuracy:  0.889, Validation Accuracy:  0.915, Loss:  0.158
Epoch  10 Batch  265/269 - Train Accuracy:  0.912, Validation Accuracy:  0.915, Loss:  0.149
Epoch  10 Batch  266/269 - Train Accuracy:  0.911, Validation Accuracy:  0.911, Loss:  0.149
Epoch  10 Batch  267/269 - Train Accuracy:  0.909, Validation Accuracy:  0.912, Loss:  0.157
Epoch  11 Batch    0/269 - Train Accuracy:  0.910, Validation Accuracy:  0.915, Loss:  0.157
Epoch  11 Batch    1/269 - Train Accuracy:  0.907, Validation Accuracy:  0.916, Loss:  0.148
Epoch  11 Batch    2/269 - Train Accuracy:  0.913, Validation Accuracy:  0.917, Loss:  0.152
Epoch  11 Batch    3/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.154
Epoch  11 Batch    4/269 - Train Accuracy:  0.893, Validation Accuracy:  0.913, Loss:  0.156
Epoch  11 Batch    5/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.152
Epoch  11 Batch    6/269 - Train Accuracy:  0.921, Validation Accuracy:  0.912, Loss:  0.137
Epoch  11 Batch    7/269 - Train Accuracy:  0.914, Validation Accuracy:  0.911, Loss:  0.149
Epoch  11 Batch    8/269 - Train Accuracy:  0.920, Validation Accuracy:  0.913, Loss:  0.154
Epoch  11 Batch    9/269 - Train Accuracy:  0.913, Validation Accuracy:  0.911, Loss:  0.146
Epoch  11 Batch   10/269 - Train Accuracy:  0.911, Validation Accuracy:  0.914, Loss:  0.140
Epoch  11 Batch   11/269 - Train Accuracy:  0.915, Validation Accuracy:  0.913, Loss:  0.159
Epoch  11 Batch   12/269 - Train Accuracy:  0.903, Validation Accuracy:  0.912, Loss:  0.159
Epoch  11 Batch   13/269 - Train Accuracy:  0.912, Validation Accuracy:  0.913, Loss:  0.131
Epoch  11 Batch   14/269 - Train Accuracy:  0.903, Validation Accuracy:  0.913, Loss:  0.150
Epoch  11 Batch   15/269 - Train Accuracy:  0.917, Validation Accuracy:  0.919, Loss:  0.135
Epoch  11 Batch   16/269 - Train Accuracy:  0.907, Validation Accuracy:  0.916, Loss:  0.152
Epoch  11 Batch   17/269 - Train Accuracy:  0.916, Validation Accuracy:  0.917, Loss:  0.137
Epoch  11 Batch   18/269 - Train Accuracy:  0.902, Validation Accuracy:  0.915, Loss:  0.148
Epoch  11 Batch   19/269 - Train Accuracy:  0.925, Validation Accuracy:  0.915, Loss:  0.136
Epoch  11 Batch   20/269 - Train Accuracy:  0.925, Validation Accuracy:  0.916, Loss:  0.145
Epoch  11 Batch   21/269 - Train Accuracy:  0.890, Validation Accuracy:  0.915, Loss:  0.158
Epoch  11 Batch   22/269 - Train Accuracy:  0.927, Validation Accuracy:  0.915, Loss:  0.139
Epoch  11 Batch   23/269 - Train Accuracy:  0.904, Validation Accuracy:  0.913, Loss:  0.154
Epoch  11 Batch   24/269 - Train Accuracy:  0.904, Validation Accuracy:  0.913, Loss:  0.151
Epoch  11 Batch   25/269 - Train Accuracy:  0.906, Validation Accuracy:  0.914, Loss:  0.153
Epoch  11 Batch   26/269 - Train Accuracy:  0.912, Validation Accuracy:  0.918, Loss:  0.137
Epoch  11 Batch   27/269 - Train Accuracy:  0.899, Validation Accuracy:  0.919, Loss:  0.146
Epoch  11 Batch   28/269 - Train Accuracy:  0.887, Validation Accuracy:  0.918, Loss:  0.155
Epoch  11 Batch   29/269 - Train Accuracy:  0.912, Validation Accuracy:  0.917, Loss:  0.157
Epoch  11 Batch   30/269 - Train Accuracy:  0.912, Validation Accuracy:  0.918, Loss:  0.146
Epoch  11 Batch   31/269 - Train Accuracy:  0.919, Validation Accuracy:  0.917, Loss:  0.142
Epoch  11 Batch   32/269 - Train Accuracy:  0.907, Validation Accuracy:  0.916, Loss:  0.138
Epoch  11 Batch   33/269 - Train Accuracy:  0.925, Validation Accuracy:  0.917, Loss:  0.133
Epoch  11 Batch   34/269 - Train Accuracy:  0.914, Validation Accuracy:  0.918, Loss:  0.140
Epoch  11 Batch   35/269 - Train Accuracy:  0.917, Validation Accuracy:  0.919, Loss:  0.147
Epoch  11 Batch   36/269 - Train Accuracy:  0.914, Validation Accuracy:  0.918, Loss:  0.149
Epoch  11 Batch   37/269 - Train Accuracy:  0.901, Validation Accuracy:  0.914, Loss:  0.146
Epoch  11 Batch   38/269 - Train Accuracy:  0.914, Validation Accuracy:  0.911, Loss:  0.147
Epoch  11 Batch   39/269 - Train Accuracy:  0.903, Validation Accuracy:  0.912, Loss:  0.136
Epoch  11 Batch   40/269 - Train Accuracy:  0.893, Validation Accuracy:  0.910, Loss:  0.144
Epoch  11 Batch   41/269 - Train Accuracy:  0.905, Validation Accuracy:  0.916, Loss:  0.154
Epoch  11 Batch   42/269 - Train Accuracy:  0.924, Validation Accuracy:  0.913, Loss:  0.136
Epoch  11 Batch   43/269 - Train Accuracy:  0.913, Validation Accuracy:  0.914, Loss:  0.155
Epoch  11 Batch   44/269 - Train Accuracy:  0.908, Validation Accuracy:  0.914, Loss:  0.145
Epoch  11 Batch   45/269 - Train Accuracy:  0.913, Validation Accuracy:  0.915, Loss:  0.146
Epoch  11 Batch   46/269 - Train Accuracy:  0.899, Validation Accuracy:  0.913, Loss:  0.148
Epoch  11 Batch   47/269 - Train Accuracy:  0.916, Validation Accuracy:  0.913, Loss:  0.130
Epoch  11 Batch   48/269 - Train Accuracy:  0.919, Validation Accuracy:  0.911, Loss:  0.141
Epoch  11 Batch   49/269 - Train Accuracy:  0.915, Validation Accuracy:  0.912, Loss:  0.144
Epoch  11 Batch   50/269 - Train Accuracy:  0.887, Validation Accuracy:  0.913, Loss:  0.151
Epoch  11 Batch   51/269 - Train Accuracy:  0.917, Validation Accuracy:  0.916, Loss:  0.144
Epoch  11 Batch   52/269 - Train Accuracy:  0.909, Validation Accuracy:  0.915, Loss:  0.131
Epoch  11 Batch   53/269 - Train Accuracy:  0.900, Validation Accuracy:  0.917, Loss:  0.157
Epoch  11 Batch   54/269 - Train Accuracy:  0.916, Validation Accuracy:  0.916, Loss:  0.147
Epoch  11 Batch   55/269 - Train Accuracy:  0.915, Validation Accuracy:  0.915, Loss:  0.144
Epoch  11 Batch   56/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.144
Epoch  11 Batch   57/269 - Train Accuracy:  0.910, Validation Accuracy:  0.914, Loss:  0.148
Epoch  11 Batch   58/269 - Train Accuracy:  0.919, Validation Accuracy:  0.911, Loss:  0.143
Epoch  11 Batch   59/269 - Train Accuracy:  0.924, Validation Accuracy:  0.908, Loss:  0.131
Epoch  11 Batch   60/269 - Train Accuracy:  0.916, Validation Accuracy:  0.907, Loss:  0.135
Epoch  11 Batch   61/269 - Train Accuracy:  0.931, Validation Accuracy:  0.907, Loss:  0.134
Epoch  11 Batch   62/269 - Train Accuracy:  0.902, Validation Accuracy:  0.906, Loss:  0.141
Epoch  11 Batch   63/269 - Train Accuracy:  0.913, Validation Accuracy:  0.910, Loss:  0.154
Epoch  11 Batch   64/269 - Train Accuracy:  0.917, Validation Accuracy:  0.909, Loss:  0.134
Epoch  11 Batch   65/269 - Train Accuracy:  0.902, Validation Accuracy:  0.910, Loss:  0.139
Epoch  11 Batch   66/269 - Train Accuracy:  0.908, Validation Accuracy:  0.912, Loss:  0.138
Epoch  11 Batch   67/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.150
Epoch  11 Batch   68/269 - Train Accuracy:  0.894, Validation Accuracy:  0.916, Loss:  0.155
Epoch  11 Batch   69/269 - Train Accuracy:  0.884, Validation Accuracy:  0.916, Loss:  0.158
Epoch  11 Batch   70/269 - Train Accuracy:  0.909, Validation Accuracy:  0.916, Loss:  0.149
Epoch  11 Batch   71/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.157
Epoch  11 Batch   72/269 - Train Accuracy:  0.919, Validation Accuracy:  0.917, Loss:  0.146
Epoch  11 Batch   73/269 - Train Accuracy:  0.915, Validation Accuracy:  0.913, Loss:  0.155
Epoch  11 Batch   74/269 - Train Accuracy:  0.924, Validation Accuracy:  0.913, Loss:  0.138
Epoch  11 Batch   75/269 - Train Accuracy:  0.909, Validation Accuracy:  0.915, Loss:  0.143
Epoch  11 Batch   76/269 - Train Accuracy:  0.908, Validation Accuracy:  0.916, Loss:  0.146
Epoch  11 Batch   77/269 - Train Accuracy:  0.912, Validation Accuracy:  0.914, Loss:  0.144
Epoch  11 Batch   78/269 - Train Accuracy:  0.907, Validation Accuracy:  0.912, Loss:  0.148
Epoch  11 Batch   79/269 - Train Accuracy:  0.902, Validation Accuracy:  0.913, Loss:  0.139
Epoch  11 Batch   80/269 - Train Accuracy:  0.914, Validation Accuracy:  0.919, Loss:  0.142
Epoch  11 Batch   81/269 - Train Accuracy:  0.891, Validation Accuracy:  0.912, Loss:  0.156
Epoch  11 Batch   82/269 - Train Accuracy:  0.927, Validation Accuracy:  0.912, Loss:  0.134
Epoch  11 Batch   83/269 - Train Accuracy:  0.900, Validation Accuracy:  0.914, Loss:  0.150
Epoch  11 Batch   84/269 - Train Accuracy:  0.917, Validation Accuracy:  0.915, Loss:  0.143
Epoch  11 Batch   85/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.134
Epoch  11 Batch   86/269 - Train Accuracy:  0.918, Validation Accuracy:  0.913, Loss:  0.135
Epoch  11 Batch   87/269 - Train Accuracy:  0.907, Validation Accuracy:  0.911, Loss:  0.149
Epoch  11 Batch   88/269 - Train Accuracy:  0.873, Validation Accuracy:  0.911, Loss:  0.147
Epoch  11 Batch   89/269 - Train Accuracy:  0.916, Validation Accuracy:  0.911, Loss:  0.142
Epoch  11 Batch   90/269 - Train Accuracy:  0.913, Validation Accuracy:  0.914, Loss:  0.148
Epoch  11 Batch   91/269 - Train Accuracy:  0.920, Validation Accuracy:  0.916, Loss:  0.133
Epoch  11 Batch   92/269 - Train Accuracy:  0.920, Validation Accuracy:  0.917, Loss:  0.136
Epoch  11 Batch   93/269 - Train Accuracy:  0.921, Validation Accuracy:  0.913, Loss:  0.132
Epoch  11 Batch   94/269 - Train Accuracy:  0.910, Validation Accuracy:  0.914, Loss:  0.154
Epoch  11 Batch   95/269 - Train Accuracy:  0.911, Validation Accuracy:  0.916, Loss:  0.138
Epoch  11 Batch   96/269 - Train Accuracy:  0.895, Validation Accuracy:  0.915, Loss:  0.140
Epoch  11 Batch   97/269 - Train Accuracy:  0.910, Validation Accuracy:  0.915, Loss:  0.138
Epoch  11 Batch   98/269 - Train Accuracy:  0.912, Validation Accuracy:  0.916, Loss:  0.137
Epoch  11 Batch   99/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.144
Epoch  11 Batch  100/269 - Train Accuracy:  0.919, Validation Accuracy:  0.914, Loss:  0.139
Epoch  11 Batch  101/269 - Train Accuracy:  0.902, Validation Accuracy:  0.915, Loss:  0.160
Epoch  11 Batch  102/269 - Train Accuracy:  0.918, Validation Accuracy:  0.912, Loss:  0.137
Epoch  11 Batch  103/269 - Train Accuracy:  0.916, Validation Accuracy:  0.915, Loss:  0.155
Epoch  11 Batch  104/269 - Train Accuracy:  0.913, Validation Accuracy:  0.916, Loss:  0.134
Epoch  11 Batch  105/269 - Train Accuracy:  0.908, Validation Accuracy:  0.917, Loss:  0.143
Epoch  11 Batch  106/269 - Train Accuracy:  0.919, Validation Accuracy:  0.915, Loss:  0.136
Epoch  11 Batch  107/269 - Train Accuracy:  0.927, Validation Accuracy:  0.914, Loss:  0.140
Epoch  11 Batch  108/269 - Train Accuracy:  0.919, Validation Accuracy:  0.914, Loss:  0.140
Epoch  11 Batch  109/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.148
Epoch  11 Batch  110/269 - Train Accuracy:  0.910, Validation Accuracy:  0.912, Loss:  0.136
Epoch  11 Batch  111/269 - Train Accuracy:  0.907, Validation Accuracy:  0.913, Loss:  0.155
Epoch  11 Batch  112/269 - Train Accuracy:  0.909, Validation Accuracy:  0.913, Loss:  0.137
Epoch  11 Batch  113/269 - Train Accuracy:  0.916, Validation Accuracy:  0.913, Loss:  0.135
Epoch  11 Batch  114/269 - Train Accuracy:  0.903, Validation Accuracy:  0.916, Loss:  0.141
Epoch  11 Batch  115/269 - Train Accuracy:  0.913, Validation Accuracy:  0.917, Loss:  0.144
Epoch  11 Batch  116/269 - Train Accuracy:  0.915, Validation Accuracy:  0.919, Loss:  0.148
Epoch  11 Batch  117/269 - Train Accuracy:  0.917, Validation Accuracy:  0.919, Loss:  0.136
Epoch  11 Batch  118/269 - Train Accuracy:  0.917, Validation Accuracy:  0.916, Loss:  0.131
Epoch  11 Batch  119/269 - Train Accuracy:  0.902, Validation Accuracy:  0.919, Loss:  0.152
Epoch  11 Batch  120/269 - Train Accuracy:  0.900, Validation Accuracy:  0.921, Loss:  0.140
Epoch  11 Batch  121/269 - Train Accuracy:  0.916, Validation Accuracy:  0.916, Loss:  0.132
Epoch  11 Batch  122/269 - Train Accuracy:  0.914, Validation Accuracy:  0.917, Loss:  0.139
Epoch  11 Batch  123/269 - Train Accuracy:  0.906, Validation Accuracy:  0.918, Loss:  0.146
Epoch  11 Batch  124/269 - Train Accuracy:  0.909, Validation Accuracy:  0.919, Loss:  0.132
Epoch  11 Batch  125/269 - Train Accuracy:  0.930, Validation Accuracy:  0.919, Loss:  0.127
Epoch  11 Batch  126/269 - Train Accuracy:  0.903, Validation Accuracy:  0.920, Loss:  0.140
Epoch  11 Batch  127/269 - Train Accuracy:  0.908, Validation Accuracy:  0.917, Loss:  0.147
Epoch  11 Batch  128/269 - Train Accuracy:  0.914, Validation Accuracy:  0.915, Loss:  0.138
Epoch  11 Batch  129/269 - Train Accuracy:  0.909, Validation Accuracy:  0.916, Loss:  0.140
Epoch  11 Batch  130/269 - Train Accuracy:  0.914, Validation Accuracy:  0.916, Loss:  0.150
Epoch  11 Batch  131/269 - Train Accuracy:  0.898, Validation Accuracy:  0.925, Loss:  0.147
Epoch  11 Batch  132/269 - Train Accuracy:  0.903, Validation Accuracy:  0.921, Loss:  0.142
Epoch  11 Batch  133/269 - Train Accuracy:  0.927, Validation Accuracy:  0.918, Loss:  0.124
Epoch  11 Batch  134/269 - Train Accuracy:  0.920, Validation Accuracy:  0.917, Loss:  0.138
Epoch  11 Batch  135/269 - Train Accuracy:  0.915, Validation Accuracy:  0.921, Loss:  0.147
Epoch  11 Batch  136/269 - Train Accuracy:  0.898, Validation Accuracy:  0.920, Loss:  0.152
Epoch  11 Batch  137/269 - Train Accuracy:  0.898, Validation Accuracy:  0.912, Loss:  0.146
Epoch  11 Batch  138/269 - Train Accuracy:  0.917, Validation Accuracy:  0.909, Loss:  0.134
Epoch  11 Batch  139/269 - Train Accuracy:  0.904, Validation Accuracy:  0.915, Loss:  0.128
Epoch  11 Batch  140/269 - Train Accuracy:  0.904, Validation Accuracy:  0.917, Loss:  0.145
Epoch  11 Batch  141/269 - Train Accuracy:  0.904, Validation Accuracy:  0.916, Loss:  0.146
Epoch  11 Batch  142/269 - Train Accuracy:  0.915, Validation Accuracy:  0.916, Loss:  0.139
Epoch  11 Batch  143/269 - Train Accuracy:  0.923, Validation Accuracy:  0.918, Loss:  0.134
Epoch  11 Batch  144/269 - Train Accuracy:  0.923, Validation Accuracy:  0.919, Loss:  0.127
Epoch  11 Batch  145/269 - Train Accuracy:  0.917, Validation Accuracy:  0.918, Loss:  0.132
Epoch  11 Batch  146/269 - Train Accuracy:  0.905, Validation Accuracy:  0.919, Loss:  0.140
Epoch  11 Batch  147/269 - Train Accuracy:  0.905, Validation Accuracy:  0.916, Loss:  0.139
Epoch  11 Batch  148/269 - Train Accuracy:  0.916, Validation Accuracy:  0.915, Loss:  0.139
Epoch  11 Batch  149/269 - Train Accuracy:  0.903, Validation Accuracy:  0.912, Loss:  0.151
Epoch  11 Batch  150/269 - Train Accuracy:  0.908, Validation Accuracy:  0.916, Loss:  0.146
Epoch  11 Batch  151/269 - Train Accuracy:  0.914, Validation Accuracy:  0.918, Loss:  0.135
Epoch  11 Batch  152/269 - Train Accuracy:  0.909, Validation Accuracy:  0.918, Loss:  0.137
Epoch  11 Batch  153/269 - Train Accuracy:  0.926, Validation Accuracy:  0.920, Loss:  0.134
Epoch  11 Batch  154/269 - Train Accuracy:  0.925, Validation Accuracy:  0.921, Loss:  0.142
Epoch  11 Batch  155/269 - Train Accuracy:  0.912, Validation Accuracy:  0.917, Loss:  0.131
Epoch  11 Batch  156/269 - Train Accuracy:  0.917, Validation Accuracy:  0.917, Loss:  0.139
Epoch  11 Batch  157/269 - Train Accuracy:  0.906, Validation Accuracy:  0.918, Loss:  0.125
Epoch  11 Batch  158/269 - Train Accuracy:  0.915, Validation Accuracy:  0.917, Loss:  0.139
Epoch  11 Batch  159/269 - Train Accuracy:  0.915, Validation Accuracy:  0.916, Loss:  0.138
Epoch  11 Batch  160/269 - Train Accuracy:  0.916, Validation Accuracy:  0.916, Loss:  0.141
Epoch  11 Batch  161/269 - Train Accuracy:  0.918, Validation Accuracy:  0.917, Loss:  0.135
Epoch  11 Batch  162/269 - Train Accuracy:  0.919, Validation Accuracy:  0.917, Loss:  0.131
Epoch  11 Batch  163/269 - Train Accuracy:  0.922, Validation Accuracy:  0.918, Loss:  0.133
Epoch  11 Batch  164/269 - Train Accuracy:  0.926, Validation Accuracy:  0.920, Loss:  0.133
Epoch  11 Batch  165/269 - Train Accuracy:  0.917, Validation Accuracy:  0.919, Loss:  0.128
Epoch  11 Batch  166/269 - Train Accuracy:  0.920, Validation Accuracy:  0.917, Loss:  0.133
Epoch  11 Batch  167/269 - Train Accuracy:  0.914, Validation Accuracy:  0.916, Loss:  0.136
Epoch  11 Batch  168/269 - Train Accuracy:  0.922, Validation Accuracy:  0.916, Loss:  0.140
Epoch  11 Batch  169/269 - Train Accuracy:  0.904, Validation Accuracy:  0.917, Loss:  0.137
Epoch  11 Batch  170/269 - Train Accuracy:  0.916, Validation Accuracy:  0.917, Loss:  0.132
Epoch  11 Batch  171/269 - Train Accuracy:  0.933, Validation Accuracy:  0.917, Loss:  0.140
Epoch  11 Batch  172/269 - Train Accuracy:  0.909, Validation Accuracy:  0.916, Loss:  0.144
Epoch  11 Batch  173/269 - Train Accuracy:  0.930, Validation Accuracy:  0.917, Loss:  0.130
Epoch  11 Batch  174/269 - Train Accuracy:  0.928, Validation Accuracy:  0.915, Loss:  0.133
Epoch  11 Batch  175/269 - Train Accuracy:  0.906, Validation Accuracy:  0.916, Loss:  0.148
Epoch  11 Batch  176/269 - Train Accuracy:  0.908, Validation Accuracy:  0.917, Loss:  0.149
Epoch  11 Batch  177/269 - Train Accuracy:  0.920, Validation Accuracy:  0.919, Loss:  0.131
Epoch  11 Batch  178/269 - Train Accuracy:  0.929, Validation Accuracy:  0.920, Loss:  0.130
Epoch  11 Batch  179/269 - Train Accuracy:  0.900, Validation Accuracy:  0.919, Loss:  0.135
Epoch  11 Batch  180/269 - Train Accuracy:  0.916, Validation Accuracy:  0.918, Loss:  0.130
Epoch  11 Batch  181/269 - Train Accuracy:  0.911, Validation Accuracy:  0.921, Loss:  0.141
Epoch  11 Batch  182/269 - Train Accuracy:  0.916, Validation Accuracy:  0.921, Loss:  0.130
Epoch  11 Batch  183/269 - Train Accuracy:  0.930, Validation Accuracy:  0.920, Loss:  0.112
Epoch  11 Batch  184/269 - Train Accuracy:  0.919, Validation Accuracy:  0.921, Loss:  0.132
Epoch  11 Batch  185/269 - Train Accuracy:  0.934, Validation Accuracy:  0.921, Loss:  0.135
Epoch  11 Batch  186/269 - Train Accuracy:  0.913, Validation Accuracy:  0.921, Loss:  0.130
Epoch  11 Batch  187/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.133
Epoch  11 Batch  188/269 - Train Accuracy:  0.924, Validation Accuracy:  0.923, Loss:  0.132
Epoch  11 Batch  189/269 - Train Accuracy:  0.914, Validation Accuracy:  0.923, Loss:  0.130
Epoch  11 Batch  190/269 - Train Accuracy:  0.908, Validation Accuracy:  0.922, Loss:  0.124
Epoch  11 Batch  191/269 - Train Accuracy:  0.903, Validation Accuracy:  0.923, Loss:  0.130
Epoch  11 Batch  192/269 - Train Accuracy:  0.913, Validation Accuracy:  0.928, Loss:  0.140
Epoch  11 Batch  193/269 - Train Accuracy:  0.918, Validation Accuracy:  0.925, Loss:  0.127
Epoch  11 Batch  194/269 - Train Accuracy:  0.906, Validation Accuracy:  0.922, Loss:  0.129
Epoch  11 Batch  195/269 - Train Accuracy:  0.914, Validation Accuracy:  0.921, Loss:  0.130
Epoch  11 Batch  196/269 - Train Accuracy:  0.916, Validation Accuracy:  0.923, Loss:  0.132
Epoch  11 Batch  197/269 - Train Accuracy:  0.911, Validation Accuracy:  0.922, Loss:  0.139
Epoch  11 Batch  198/269 - Train Accuracy:  0.905, Validation Accuracy:  0.921, Loss:  0.138
Epoch  11 Batch  199/269 - Train Accuracy:  0.910, Validation Accuracy:  0.919, Loss:  0.143
Epoch  11 Batch  200/269 - Train Accuracy:  0.904, Validation Accuracy:  0.919, Loss:  0.141
Epoch  11 Batch  201/269 - Train Accuracy:  0.914, Validation Accuracy:  0.917, Loss:  0.138
Epoch  11 Batch  202/269 - Train Accuracy:  0.916, Validation Accuracy:  0.920, Loss:  0.131
Epoch  11 Batch  203/269 - Train Accuracy:  0.915, Validation Accuracy:  0.919, Loss:  0.147
Epoch  11 Batch  204/269 - Train Accuracy:  0.929, Validation Accuracy:  0.919, Loss:  0.144
Epoch  11 Batch  205/269 - Train Accuracy:  0.910, Validation Accuracy:  0.919, Loss:  0.132
Epoch  11 Batch  206/269 - Train Accuracy:  0.895, Validation Accuracy:  0.914, Loss:  0.143
Epoch  11 Batch  207/269 - Train Accuracy:  0.912, Validation Accuracy:  0.915, Loss:  0.124
Epoch  11 Batch  208/269 - Train Accuracy:  0.920, Validation Accuracy:  0.915, Loss:  0.142
Epoch  11 Batch  209/269 - Train Accuracy:  0.937, Validation Accuracy:  0.916, Loss:  0.128
Epoch  11 Batch  210/269 - Train Accuracy:  0.911, Validation Accuracy:  0.914, Loss:  0.129
Epoch  11 Batch  211/269 - Train Accuracy:  0.916, Validation Accuracy:  0.914, Loss:  0.134
Epoch  11 Batch  212/269 - Train Accuracy:  0.915, Validation Accuracy:  0.914, Loss:  0.137
Epoch  11 Batch  213/269 - Train Accuracy:  0.903, Validation Accuracy:  0.915, Loss:  0.131
Epoch  11 Batch  214/269 - Train Accuracy:  0.907, Validation Accuracy:  0.916, Loss:  0.133
Epoch  11 Batch  215/269 - Train Accuracy:  0.928, Validation Accuracy:  0.915, Loss:  0.123
Epoch  11 Batch  216/269 - Train Accuracy:  0.901, Validation Accuracy:  0.915, Loss:  0.152
Epoch  11 Batch  217/269 - Train Accuracy:  0.903, Validation Accuracy:  0.916, Loss:  0.137
Epoch  11 Batch  218/269 - Train Accuracy:  0.921, Validation Accuracy:  0.917, Loss:  0.133
Epoch  11 Batch  219/269 - Train Accuracy:  0.914, Validation Accuracy:  0.916, Loss:  0.142
Epoch  11 Batch  220/269 - Train Accuracy:  0.920, Validation Accuracy:  0.917, Loss:  0.131
Epoch  11 Batch  221/269 - Train Accuracy:  0.919, Validation Accuracy:  0.917, Loss:  0.135
Epoch  11 Batch  222/269 - Train Accuracy:  0.929, Validation Accuracy:  0.917, Loss:  0.121
Epoch  11 Batch  223/269 - Train Accuracy:  0.912, Validation Accuracy:  0.917, Loss:  0.129
Epoch  11 Batch  224/269 - Train Accuracy:  0.914, Validation Accuracy:  0.915, Loss:  0.147
Epoch  11 Batch  225/269 - Train Accuracy:  0.913, Validation Accuracy:  0.920, Loss:  0.129
Epoch  11 Batch  226/269 - Train Accuracy:  0.913, Validation Accuracy:  0.919, Loss:  0.134
Epoch  11 Batch  227/269 - Train Accuracy:  0.932, Validation Accuracy:  0.921, Loss:  0.125
Epoch  11 Batch  228/269 - Train Accuracy:  0.915, Validation Accuracy:  0.921, Loss:  0.128
Epoch  11 Batch  229/269 - Train Accuracy:  0.911, Validation Accuracy:  0.918, Loss:  0.131
Epoch  11 Batch  230/269 - Train Accuracy:  0.923, Validation Accuracy:  0.917, Loss:  0.130
Epoch  11 Batch  231/269 - Train Accuracy:  0.907, Validation Accuracy:  0.917, Loss:  0.138
Epoch  11 Batch  232/269 - Train Accuracy:  0.913, Validation Accuracy:  0.920, Loss:  0.131
Epoch  11 Batch  233/269 - Train Accuracy:  0.926, Validation Accuracy:  0.920, Loss:  0.137
Epoch  11 Batch  234/269 - Train Accuracy:  0.917, Validation Accuracy:  0.919, Loss:  0.126
Epoch  11 Batch  235/269 - Train Accuracy:  0.933, Validation Accuracy:  0.920, Loss:  0.117
Epoch  11 Batch  236/269 - Train Accuracy:  0.906, Validation Accuracy:  0.924, Loss:  0.126
Epoch  11 Batch  237/269 - Train Accuracy:  0.930, Validation Accuracy:  0.925, Loss:  0.131
Epoch  11 Batch  238/269 - Train Accuracy:  0.927, Validation Accuracy:  0.922, Loss:  0.132
Epoch  11 Batch  239/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.127
Epoch  11 Batch  240/269 - Train Accuracy:  0.922, Validation Accuracy:  0.924, Loss:  0.121
Epoch  11 Batch  241/269 - Train Accuracy:  0.911, Validation Accuracy:  0.925, Loss:  0.148
Epoch  11 Batch  242/269 - Train Accuracy:  0.916, Validation Accuracy:  0.921, Loss:  0.124
Epoch  11 Batch  243/269 - Train Accuracy:  0.929, Validation Accuracy:  0.917, Loss:  0.120
Epoch  11 Batch  244/269 - Train Accuracy:  0.909, Validation Accuracy:  0.922, Loss:  0.130
Epoch  11 Batch  245/269 - Train Accuracy:  0.907, Validation Accuracy:  0.925, Loss:  0.137
Epoch  11 Batch  246/269 - Train Accuracy:  0.907, Validation Accuracy:  0.922, Loss:  0.132
Epoch  11 Batch  247/269 - Train Accuracy:  0.926, Validation Accuracy:  0.921, Loss:  0.132
Epoch  11 Batch  248/269 - Train Accuracy:  0.918, Validation Accuracy:  0.919, Loss:  0.129
Epoch  11 Batch  249/269 - Train Accuracy:  0.920, Validation Accuracy:  0.921, Loss:  0.120
Epoch  11 Batch  250/269 - Train Accuracy:  0.925, Validation Accuracy:  0.923, Loss:  0.136
Epoch  11 Batch  251/269 - Train Accuracy:  0.931, Validation Accuracy:  0.923, Loss:  0.127
Epoch  11 Batch  252/269 - Train Accuracy:  0.918, Validation Accuracy:  0.917, Loss:  0.116
Epoch  11 Batch  253/269 - Train Accuracy:  0.901, Validation Accuracy:  0.915, Loss:  0.144
Epoch  11 Batch  254/269 - Train Accuracy:  0.918, Validation Accuracy:  0.917, Loss:  0.123
Epoch  11 Batch  255/269 - Train Accuracy:  0.908, Validation Accuracy:  0.919, Loss:  0.133
Epoch  11 Batch  256/269 - Train Accuracy:  0.910, Validation Accuracy:  0.920, Loss:  0.127
Epoch  11 Batch  257/269 - Train Accuracy:  0.898, Validation Accuracy:  0.924, Loss:  0.133
Epoch  11 Batch  258/269 - Train Accuracy:  0.906, Validation Accuracy:  0.923, Loss:  0.138
Epoch  11 Batch  259/269 - Train Accuracy:  0.920, Validation Accuracy:  0.922, Loss:  0.127
Epoch  11 Batch  260/269 - Train Accuracy:  0.910, Validation Accuracy:  0.923, Loss:  0.139
Epoch  11 Batch  261/269 - Train Accuracy:  0.914, Validation Accuracy:  0.923, Loss:  0.124
Epoch  11 Batch  262/269 - Train Accuracy:  0.922, Validation Accuracy:  0.923, Loss:  0.127
Epoch  11 Batch  263/269 - Train Accuracy:  0.921, Validation Accuracy:  0.923, Loss:  0.127
Epoch  11 Batch  264/269 - Train Accuracy:  0.881, Validation Accuracy:  0.922, Loss:  0.138
Epoch  11 Batch  265/269 - Train Accuracy:  0.913, Validation Accuracy:  0.924, Loss:  0.124
Epoch  11 Batch  266/269 - Train Accuracy:  0.917, Validation Accuracy:  0.927, Loss:  0.126
Epoch  11 Batch  267/269 - Train Accuracy:  0.920, Validation Accuracy:  0.926, Loss:  0.138
Epoch  12 Batch    0/269 - Train Accuracy:  0.917, Validation Accuracy:  0.923, Loss:  0.139
Epoch  12 Batch    1/269 - Train Accuracy:  0.912, Validation Accuracy:  0.922, Loss:  0.135
Epoch  12 Batch    2/269 - Train Accuracy:  0.912, Validation Accuracy:  0.924, Loss:  0.127
Epoch  12 Batch    3/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.130
Epoch  12 Batch    4/269 - Train Accuracy:  0.901, Validation Accuracy:  0.926, Loss:  0.130
Epoch  12 Batch    5/269 - Train Accuracy:  0.905, Validation Accuracy:  0.924, Loss:  0.134
Epoch  12 Batch    6/269 - Train Accuracy:  0.930, Validation Accuracy:  0.924, Loss:  0.118
Epoch  12 Batch    7/269 - Train Accuracy:  0.919, Validation Accuracy:  0.925, Loss:  0.131
Epoch  12 Batch    8/269 - Train Accuracy:  0.928, Validation Accuracy:  0.925, Loss:  0.131
Epoch  12 Batch    9/269 - Train Accuracy:  0.915, Validation Accuracy:  0.925, Loss:  0.131
Epoch  12 Batch   10/269 - Train Accuracy:  0.919, Validation Accuracy:  0.924, Loss:  0.119
Epoch  12 Batch   11/269 - Train Accuracy:  0.922, Validation Accuracy:  0.923, Loss:  0.143
Epoch  12 Batch   12/269 - Train Accuracy:  0.915, Validation Accuracy:  0.921, Loss:  0.134
Epoch  12 Batch   13/269 - Train Accuracy:  0.917, Validation Accuracy:  0.921, Loss:  0.115
Epoch  12 Batch   14/269 - Train Accuracy:  0.916, Validation Accuracy:  0.920, Loss:  0.125
Epoch  12 Batch   15/269 - Train Accuracy:  0.923, Validation Accuracy:  0.921, Loss:  0.112
Epoch  12 Batch   16/269 - Train Accuracy:  0.909, Validation Accuracy:  0.923, Loss:  0.128
Epoch  12 Batch   17/269 - Train Accuracy:  0.925, Validation Accuracy:  0.924, Loss:  0.114
Epoch  12 Batch   18/269 - Train Accuracy:  0.907, Validation Accuracy:  0.923, Loss:  0.126
Epoch  12 Batch   19/269 - Train Accuracy:  0.932, Validation Accuracy:  0.923, Loss:  0.117
Epoch  12 Batch   20/269 - Train Accuracy:  0.925, Validation Accuracy:  0.924, Loss:  0.122
Epoch  12 Batch   21/269 - Train Accuracy:  0.907, Validation Accuracy:  0.923, Loss:  0.137
Epoch  12 Batch   22/269 - Train Accuracy:  0.933, Validation Accuracy:  0.925, Loss:  0.123
Epoch  12 Batch   23/269 - Train Accuracy:  0.909, Validation Accuracy:  0.925, Loss:  0.139
Epoch  12 Batch   24/269 - Train Accuracy:  0.914, Validation Accuracy:  0.926, Loss:  0.127
Epoch  12 Batch   25/269 - Train Accuracy:  0.916, Validation Accuracy:  0.929, Loss:  0.137
Epoch  12 Batch   26/269 - Train Accuracy:  0.906, Validation Accuracy:  0.926, Loss:  0.122
Epoch  12 Batch   27/269 - Train Accuracy:  0.904, Validation Accuracy:  0.929, Loss:  0.126
Epoch  12 Batch   28/269 - Train Accuracy:  0.892, Validation Accuracy:  0.922, Loss:  0.133
Epoch  12 Batch   29/269 - Train Accuracy:  0.917, Validation Accuracy:  0.923, Loss:  0.134
Epoch  12 Batch   30/269 - Train Accuracy:  0.916, Validation Accuracy:  0.924, Loss:  0.121
Epoch  12 Batch   31/269 - Train Accuracy:  0.921, Validation Accuracy:  0.924, Loss:  0.123
Epoch  12 Batch   32/269 - Train Accuracy:  0.919, Validation Accuracy:  0.920, Loss:  0.118
Epoch  12 Batch   33/269 - Train Accuracy:  0.930, Validation Accuracy:  0.921, Loss:  0.112
Epoch  12 Batch   34/269 - Train Accuracy:  0.917, Validation Accuracy:  0.920, Loss:  0.122
Epoch  12 Batch   35/269 - Train Accuracy:  0.919, Validation Accuracy:  0.919, Loss:  0.133
Epoch  12 Batch   36/269 - Train Accuracy:  0.926, Validation Accuracy:  0.920, Loss:  0.126
Epoch  12 Batch   37/269 - Train Accuracy:  0.912, Validation Accuracy:  0.921, Loss:  0.124
Epoch  12 Batch   38/269 - Train Accuracy:  0.920, Validation Accuracy:  0.921, Loss:  0.138
Epoch  12 Batch   39/269 - Train Accuracy:  0.916, Validation Accuracy:  0.922, Loss:  0.115
Epoch  12 Batch   40/269 - Train Accuracy:  0.908, Validation Accuracy:  0.923, Loss:  0.128
Epoch  12 Batch   41/269 - Train Accuracy:  0.917, Validation Accuracy:  0.921, Loss:  0.128
Epoch  12 Batch   42/269 - Train Accuracy:  0.930, Validation Accuracy:  0.922, Loss:  0.111
Epoch  12 Batch   43/269 - Train Accuracy:  0.922, Validation Accuracy:  0.920, Loss:  0.130
Epoch  12 Batch   44/269 - Train Accuracy:  0.922, Validation Accuracy:  0.922, Loss:  0.133
Epoch  12 Batch   45/269 - Train Accuracy:  0.919, Validation Accuracy:  0.922, Loss:  0.124
Epoch  12 Batch   46/269 - Train Accuracy:  0.910, Validation Accuracy:  0.922, Loss:  0.131
Epoch  12 Batch   47/269 - Train Accuracy:  0.922, Validation Accuracy:  0.923, Loss:  0.115
Epoch  12 Batch   48/269 - Train Accuracy:  0.931, Validation Accuracy:  0.923, Loss:  0.123
Epoch  12 Batch   49/269 - Train Accuracy:  0.918, Validation Accuracy:  0.922, Loss:  0.124
Epoch  12 Batch   50/269 - Train Accuracy:  0.900, Validation Accuracy:  0.922, Loss:  0.142
Epoch  12 Batch   51/269 - Train Accuracy:  0.923, Validation Accuracy:  0.922, Loss:  0.120
Epoch  12 Batch   52/269 - Train Accuracy:  0.916, Validation Accuracy:  0.923, Loss:  0.113
Epoch  12 Batch   53/269 - Train Accuracy:  0.901, Validation Accuracy:  0.924, Loss:  0.137
Epoch  12 Batch   54/269 - Train Accuracy:  0.921, Validation Accuracy:  0.920, Loss:  0.128
Epoch  12 Batch   55/269 - Train Accuracy:  0.917, Validation Accuracy:  0.920, Loss:  0.120
Epoch  12 Batch   56/269 - Train Accuracy:  0.917, Validation Accuracy:  0.921, Loss:  0.128
Epoch  12 Batch   57/269 - Train Accuracy:  0.914, Validation Accuracy:  0.922, Loss:  0.131
Epoch  12 Batch   58/269 - Train Accuracy:  0.926, Validation Accuracy:  0.925, Loss:  0.125
Epoch  12 Batch   59/269 - Train Accuracy:  0.933, Validation Accuracy:  0.923, Loss:  0.110
Epoch  12 Batch   60/269 - Train Accuracy:  0.923, Validation Accuracy:  0.923, Loss:  0.116
Epoch  12 Batch   61/269 - Train Accuracy:  0.934, Validation Accuracy:  0.922, Loss:  0.113
Epoch  12 Batch   62/269 - Train Accuracy:  0.912, Validation Accuracy:  0.922, Loss:  0.125
Epoch  12 Batch   63/269 - Train Accuracy:  0.921, Validation Accuracy:  0.921, Loss:  0.127
Epoch  12 Batch   64/269 - Train Accuracy:  0.926, Validation Accuracy:  0.922, Loss:  0.113
Epoch  12 Batch   65/269 - Train Accuracy:  0.915, Validation Accuracy:  0.922, Loss:  0.124
Epoch  12 Batch   66/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.120
Epoch  12 Batch   67/269 - Train Accuracy:  0.910, Validation Accuracy:  0.922, Loss:  0.129
Epoch  12 Batch   68/269 - Train Accuracy:  0.907, Validation Accuracy:  0.922, Loss:  0.132
Epoch  12 Batch   69/269 - Train Accuracy:  0.904, Validation Accuracy:  0.920, Loss:  0.141
Epoch  12 Batch   70/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.131
Epoch  12 Batch   71/269 - Train Accuracy:  0.918, Validation Accuracy:  0.921, Loss:  0.135
Epoch  12 Batch   72/269 - Train Accuracy:  0.922, Validation Accuracy:  0.924, Loss:  0.131
Epoch  12 Batch   73/269 - Train Accuracy:  0.921, Validation Accuracy:  0.923, Loss:  0.134
Epoch  12 Batch   74/269 - Train Accuracy:  0.929, Validation Accuracy:  0.918, Loss:  0.119
Epoch  12 Batch   75/269 - Train Accuracy:  0.912, Validation Accuracy:  0.918, Loss:  0.131
Epoch  12 Batch   76/269 - Train Accuracy:  0.912, Validation Accuracy:  0.918, Loss:  0.123
Epoch  12 Batch   77/269 - Train Accuracy:  0.915, Validation Accuracy:  0.918, Loss:  0.123
Epoch  12 Batch   78/269 - Train Accuracy:  0.919, Validation Accuracy:  0.919, Loss:  0.127
Epoch  12 Batch   79/269 - Train Accuracy:  0.908, Validation Accuracy:  0.920, Loss:  0.122
Epoch  12 Batch   80/269 - Train Accuracy:  0.921, Validation Accuracy:  0.921, Loss:  0.121
Epoch  12 Batch   81/269 - Train Accuracy:  0.905, Validation Accuracy:  0.925, Loss:  0.138
Epoch  12 Batch   82/269 - Train Accuracy:  0.930, Validation Accuracy:  0.925, Loss:  0.110
Epoch  12 Batch   83/269 - Train Accuracy:  0.902, Validation Accuracy:  0.924, Loss:  0.132
Epoch  12 Batch   84/269 - Train Accuracy:  0.924, Validation Accuracy:  0.924, Loss:  0.120
Epoch  12 Batch   85/269 - Train Accuracy:  0.920, Validation Accuracy:  0.922, Loss:  0.120
Epoch  12 Batch   86/269 - Train Accuracy:  0.922, Validation Accuracy:  0.921, Loss:  0.119
Epoch  12 Batch   87/269 - Train Accuracy:  0.915, Validation Accuracy:  0.920, Loss:  0.130
Epoch  12 Batch   88/269 - Train Accuracy:  0.892, Validation Accuracy:  0.922, Loss:  0.128
Epoch  12 Batch   89/269 - Train Accuracy:  0.929, Validation Accuracy:  0.921, Loss:  0.127
Epoch  12 Batch   90/269 - Train Accuracy:  0.919, Validation Accuracy:  0.919, Loss:  0.129
Epoch  12 Batch   91/269 - Train Accuracy:  0.928, Validation Accuracy:  0.919, Loss:  0.118
Epoch  12 Batch   92/269 - Train Accuracy:  0.924, Validation Accuracy:  0.915, Loss:  0.119
Epoch  12 Batch   93/269 - Train Accuracy:  0.929, Validation Accuracy:  0.915, Loss:  0.114
Epoch  12 Batch   94/269 - Train Accuracy:  0.918, Validation Accuracy:  0.915, Loss:  0.131
Epoch  12 Batch   95/269 - Train Accuracy:  0.915, Validation Accuracy:  0.916, Loss:  0.120
Epoch  12 Batch   96/269 - Train Accuracy:  0.901, Validation Accuracy:  0.917, Loss:  0.125
Epoch  12 Batch   97/269 - Train Accuracy:  0.918, Validation Accuracy:  0.920, Loss:  0.126
Epoch  12 Batch   98/269 - Train Accuracy:  0.920, Validation Accuracy:  0.920, Loss:  0.123
Epoch  12 Batch   99/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.121
Epoch  12 Batch  100/269 - Train Accuracy:  0.927, Validation Accuracy:  0.923, Loss:  0.123
Epoch  12 Batch  101/269 - Train Accuracy:  0.915, Validation Accuracy:  0.924, Loss:  0.139
Epoch  12 Batch  102/269 - Train Accuracy:  0.922, Validation Accuracy:  0.925, Loss:  0.116
Epoch  12 Batch  103/269 - Train Accuracy:  0.929, Validation Accuracy:  0.923, Loss:  0.133
Epoch  12 Batch  104/269 - Train Accuracy:  0.924, Validation Accuracy:  0.924, Loss:  0.121
Epoch  12 Batch  105/269 - Train Accuracy:  0.908, Validation Accuracy:  0.925, Loss:  0.123
Epoch  12 Batch  106/269 - Train Accuracy:  0.928, Validation Accuracy:  0.927, Loss:  0.113
Epoch  12 Batch  107/269 - Train Accuracy:  0.937, Validation Accuracy:  0.927, Loss:  0.124
Epoch  12 Batch  108/269 - Train Accuracy:  0.925, Validation Accuracy:  0.927, Loss:  0.120
Epoch  12 Batch  109/269 - Train Accuracy:  0.902, Validation Accuracy:  0.928, Loss:  0.129
Epoch  12 Batch  110/269 - Train Accuracy:  0.914, Validation Accuracy:  0.926, Loss:  0.122
Epoch  12 Batch  111/269 - Train Accuracy:  0.919, Validation Accuracy:  0.922, Loss:  0.137
Epoch  12 Batch  112/269 - Train Accuracy:  0.920, Validation Accuracy:  0.922, Loss:  0.121
Epoch  12 Batch  113/269 - Train Accuracy:  0.908, Validation Accuracy:  0.919, Loss:  0.121
Epoch  12 Batch  114/269 - Train Accuracy:  0.912, Validation Accuracy:  0.924, Loss:  0.123
Epoch  12 Batch  115/269 - Train Accuracy:  0.918, Validation Accuracy:  0.927, Loss:  0.120
Epoch  12 Batch  116/269 - Train Accuracy:  0.920, Validation Accuracy:  0.927, Loss:  0.130
Epoch  12 Batch  117/269 - Train Accuracy:  0.918, Validation Accuracy:  0.927, Loss:  0.119
Epoch  12 Batch  118/269 - Train Accuracy:  0.920, Validation Accuracy:  0.926, Loss:  0.109
Epoch  12 Batch  119/269 - Train Accuracy:  0.914, Validation Accuracy:  0.926, Loss:  0.135
Epoch  12 Batch  120/269 - Train Accuracy:  0.911, Validation Accuracy:  0.926, Loss:  0.124
Epoch  12 Batch  121/269 - Train Accuracy:  0.911, Validation Accuracy:  0.928, Loss:  0.118
Epoch  12 Batch  122/269 - Train Accuracy:  0.921, Validation Accuracy:  0.926, Loss:  0.121
Epoch  12 Batch  123/269 - Train Accuracy:  0.917, Validation Accuracy:  0.924, Loss:  0.128
Epoch  12 Batch  124/269 - Train Accuracy:  0.919, Validation Accuracy:  0.923, Loss:  0.111
Epoch  12 Batch  125/269 - Train Accuracy:  0.935, Validation Accuracy:  0.923, Loss:  0.108
Epoch  12 Batch  126/269 - Train Accuracy:  0.905, Validation Accuracy:  0.921, Loss:  0.123
Epoch  12 Batch  127/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.128
Epoch  12 Batch  128/269 - Train Accuracy:  0.919, Validation Accuracy:  0.921, Loss:  0.122
Epoch  12 Batch  129/269 - Train Accuracy:  0.913, Validation Accuracy:  0.923, Loss:  0.120
Epoch  12 Batch  130/269 - Train Accuracy:  0.926, Validation Accuracy:  0.922, Loss:  0.129
Epoch  12 Batch  131/269 - Train Accuracy:  0.895, Validation Accuracy:  0.922, Loss:  0.120
Epoch  12 Batch  132/269 - Train Accuracy:  0.912, Validation Accuracy:  0.924, Loss:  0.121
Epoch  12 Batch  133/269 - Train Accuracy:  0.928, Validation Accuracy:  0.924, Loss:  0.115
Epoch  12 Batch  134/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.121
Epoch  12 Batch  135/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.127
Epoch  12 Batch  136/269 - Train Accuracy:  0.896, Validation Accuracy:  0.922, Loss:  0.131
Epoch  12 Batch  137/269 - Train Accuracy:  0.910, Validation Accuracy:  0.920, Loss:  0.130
Epoch  12 Batch  138/269 - Train Accuracy:  0.920, Validation Accuracy:  0.921, Loss:  0.116
Epoch  12 Batch  139/269 - Train Accuracy:  0.915, Validation Accuracy:  0.923, Loss:  0.114
Epoch  12 Batch  140/269 - Train Accuracy:  0.911, Validation Accuracy:  0.922, Loss:  0.121
Epoch  12 Batch  141/269 - Train Accuracy:  0.909, Validation Accuracy:  0.921, Loss:  0.126
Epoch  12 Batch  142/269 - Train Accuracy:  0.915, Validation Accuracy:  0.924, Loss:  0.119
Epoch  12 Batch  143/269 - Train Accuracy:  0.928, Validation Accuracy:  0.919, Loss:  0.116
Epoch  12 Batch  144/269 - Train Accuracy:  0.918, Validation Accuracy:  0.915, Loss:  0.111
Epoch  12 Batch  145/269 - Train Accuracy:  0.924, Validation Accuracy:  0.914, Loss:  0.112
Epoch  12 Batch  146/269 - Train Accuracy:  0.919, Validation Accuracy:  0.913, Loss:  0.116
Epoch  12 Batch  147/269 - Train Accuracy:  0.921, Validation Accuracy:  0.915, Loss:  0.117
Epoch  12 Batch  148/269 - Train Accuracy:  0.923, Validation Accuracy:  0.916, Loss:  0.123
Epoch  12 Batch  149/269 - Train Accuracy:  0.907, Validation Accuracy:  0.917, Loss:  0.134
Epoch  12 Batch  150/269 - Train Accuracy:  0.912, Validation Accuracy:  0.916, Loss:  0.123
Epoch  12 Batch  151/269 - Train Accuracy:  0.923, Validation Accuracy:  0.915, Loss:  0.116
Epoch  12 Batch  152/269 - Train Accuracy:  0.923, Validation Accuracy:  0.915, Loss:  0.122
Epoch  12 Batch  153/269 - Train Accuracy:  0.927, Validation Accuracy:  0.915, Loss:  0.116
Epoch  12 Batch  154/269 - Train Accuracy:  0.934, Validation Accuracy:  0.914, Loss:  0.123
Epoch  12 Batch  155/269 - Train Accuracy:  0.916, Validation Accuracy:  0.915, Loss:  0.115
Epoch  12 Batch  156/269 - Train Accuracy:  0.927, Validation Accuracy:  0.913, Loss:  0.123
Epoch  12 Batch  157/269 - Train Accuracy:  0.911, Validation Accuracy:  0.915, Loss:  0.106
Epoch  12 Batch  158/269 - Train Accuracy:  0.916, Validation Accuracy:  0.915, Loss:  0.117
Epoch  12 Batch  159/269 - Train Accuracy:  0.917, Validation Accuracy:  0.917, Loss:  0.120
Epoch  12 Batch  160/269 - Train Accuracy:  0.919, Validation Accuracy:  0.913, Loss:  0.119
Epoch  12 Batch  161/269 - Train Accuracy:  0.925, Validation Accuracy:  0.915, Loss:  0.114
Epoch  12 Batch  162/269 - Train Accuracy:  0.926, Validation Accuracy:  0.915, Loss:  0.116
Epoch  12 Batch  163/269 - Train Accuracy:  0.931, Validation Accuracy:  0.918, Loss:  0.120
Epoch  12 Batch  164/269 - Train Accuracy:  0.938, Validation Accuracy:  0.919, Loss:  0.112
Epoch  12 Batch  165/269 - Train Accuracy:  0.921, Validation Accuracy:  0.918, Loss:  0.115
Epoch  12 Batch  166/269 - Train Accuracy:  0.923, Validation Accuracy:  0.916, Loss:  0.119
Epoch  12 Batch  167/269 - Train Accuracy:  0.915, Validation Accuracy:  0.916, Loss:  0.113
Epoch  12 Batch  168/269 - Train Accuracy:  0.924, Validation Accuracy:  0.917, Loss:  0.124
Epoch  12 Batch  169/269 - Train Accuracy:  0.908, Validation Accuracy:  0.916, Loss:  0.123
Epoch  12 Batch  170/269 - Train Accuracy:  0.924, Validation Accuracy:  0.915, Loss:  0.115
Epoch  12 Batch  171/269 - Train Accuracy:  0.934, Validation Accuracy:  0.916, Loss:  0.124
Epoch  12 Batch  172/269 - Train Accuracy:  0.909, Validation Accuracy:  0.918, Loss:  0.127
Epoch  12 Batch  173/269 - Train Accuracy:  0.931, Validation Accuracy:  0.916, Loss:  0.107
Epoch  12 Batch  174/269 - Train Accuracy:  0.933, Validation Accuracy:  0.921, Loss:  0.114
Epoch  12 Batch  175/269 - Train Accuracy:  0.914, Validation Accuracy:  0.920, Loss:  0.132
Epoch  12 Batch  176/269 - Train Accuracy:  0.907, Validation Accuracy:  0.922, Loss:  0.129
Epoch  12 Batch  177/269 - Train Accuracy:  0.925, Validation Accuracy:  0.923, Loss:  0.112
Epoch  12 Batch  178/269 - Train Accuracy:  0.930, Validation Accuracy:  0.922, Loss:  0.118
Epoch  12 Batch  179/269 - Train Accuracy:  0.915, Validation Accuracy:  0.921, Loss:  0.119
Epoch  12 Batch  180/269 - Train Accuracy:  0.926, Validation Accuracy:  0.921, Loss:  0.112
Epoch  12 Batch  181/269 - Train Accuracy:  0.916, Validation Accuracy:  0.922, Loss:  0.125
Epoch  12 Batch  182/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.113
Epoch  12 Batch  183/269 - Train Accuracy:  0.932, Validation Accuracy:  0.921, Loss:  0.097
Epoch  12 Batch  184/269 - Train Accuracy:  0.923, Validation Accuracy:  0.924, Loss:  0.115
Epoch  12 Batch  185/269 - Train Accuracy:  0.935, Validation Accuracy:  0.925, Loss:  0.121
Epoch  12 Batch  186/269 - Train Accuracy:  0.913, Validation Accuracy:  0.923, Loss:  0.114
Epoch  12 Batch  187/269 - Train Accuracy:  0.922, Validation Accuracy:  0.926, Loss:  0.116
Epoch  12 Batch  188/269 - Train Accuracy:  0.931, Validation Accuracy:  0.927, Loss:  0.114
Epoch  12 Batch  189/269 - Train Accuracy:  0.926, Validation Accuracy:  0.925, Loss:  0.114
Epoch  12 Batch  190/269 - Train Accuracy:  0.914, Validation Accuracy:  0.924, Loss:  0.111
Epoch  12 Batch  191/269 - Train Accuracy:  0.910, Validation Accuracy:  0.925, Loss:  0.116
Epoch  12 Batch  192/269 - Train Accuracy:  0.916, Validation Accuracy:  0.924, Loss:  0.122
Epoch  12 Batch  193/269 - Train Accuracy:  0.920, Validation Accuracy:  0.925, Loss:  0.111
Epoch  12 Batch  194/269 - Train Accuracy:  0.915, Validation Accuracy:  0.926, Loss:  0.121
Epoch  12 Batch  195/269 - Train Accuracy:  0.921, Validation Accuracy:  0.925, Loss:  0.115
Epoch  12 Batch  196/269 - Train Accuracy:  0.920, Validation Accuracy:  0.926, Loss:  0.113
Epoch  12 Batch  197/269 - Train Accuracy:  0.911, Validation Accuracy:  0.926, Loss:  0.121
Epoch  12 Batch  198/269 - Train Accuracy:  0.915, Validation Accuracy:  0.922, Loss:  0.130
Epoch  12 Batch  199/269 - Train Accuracy:  0.907, Validation Accuracy:  0.925, Loss:  0.120
Epoch  12 Batch  200/269 - Train Accuracy:  0.909, Validation Accuracy:  0.925, Loss:  0.121
Epoch  12 Batch  201/269 - Train Accuracy:  0.924, Validation Accuracy:  0.930, Loss:  0.115
Epoch  12 Batch  202/269 - Train Accuracy:  0.920, Validation Accuracy:  0.933, Loss:  0.116
Epoch  12 Batch  203/269 - Train Accuracy:  0.922, Validation Accuracy:  0.930, Loss:  0.127
Epoch  12 Batch  204/269 - Train Accuracy:  0.937, Validation Accuracy:  0.930, Loss:  0.118
Epoch  12 Batch  205/269 - Train Accuracy:  0.922, Validation Accuracy:  0.931, Loss:  0.118
Epoch  12 Batch  206/269 - Train Accuracy:  0.897, Validation Accuracy:  0.934, Loss:  0.128
Epoch  12 Batch  207/269 - Train Accuracy:  0.915, Validation Accuracy:  0.928, Loss:  0.115
Epoch  12 Batch  208/269 - Train Accuracy:  0.921, Validation Accuracy:  0.928, Loss:  0.126
Epoch  12 Batch  209/269 - Train Accuracy:  0.943, Validation Accuracy:  0.928, Loss:  0.112
Epoch  12 Batch  210/269 - Train Accuracy:  0.927, Validation Accuracy:  0.930, Loss:  0.112
Epoch  12 Batch  211/269 - Train Accuracy:  0.915, Validation Accuracy:  0.930, Loss:  0.123
Epoch  12 Batch  212/269 - Train Accuracy:  0.922, Validation Accuracy:  0.930, Loss:  0.119
Epoch  12 Batch  213/269 - Train Accuracy:  0.918, Validation Accuracy:  0.930, Loss:  0.115
Epoch  12 Batch  214/269 - Train Accuracy:  0.910, Validation Accuracy:  0.931, Loss:  0.117
Epoch  12 Batch  215/269 - Train Accuracy:  0.928, Validation Accuracy:  0.932, Loss:  0.107
Epoch  12 Batch  216/269 - Train Accuracy:  0.910, Validation Accuracy:  0.933, Loss:  0.135
Epoch  12 Batch  217/269 - Train Accuracy:  0.914, Validation Accuracy:  0.931, Loss:  0.123
Epoch  12 Batch  218/269 - Train Accuracy:  0.928, Validation Accuracy:  0.924, Loss:  0.120
Epoch  12 Batch  219/269 - Train Accuracy:  0.928, Validation Accuracy:  0.924, Loss:  0.122
Epoch  12 Batch  220/269 - Train Accuracy:  0.920, Validation Accuracy:  0.926, Loss:  0.114
Epoch  12 Batch  221/269 - Train Accuracy:  0.927, Validation Accuracy:  0.927, Loss:  0.121
Epoch  12 Batch  222/269 - Train Accuracy:  0.941, Validation Accuracy:  0.928, Loss:  0.110
Epoch  12 Batch  223/269 - Train Accuracy:  0.921, Validation Accuracy:  0.928, Loss:  0.109
Epoch  12 Batch  224/269 - Train Accuracy:  0.920, Validation Accuracy:  0.927, Loss:  0.125
Epoch  12 Batch  225/269 - Train Accuracy:  0.912, Validation Accuracy:  0.932, Loss:  0.110
Epoch  12 Batch  226/269 - Train Accuracy:  0.927, Validation Accuracy:  0.932, Loss:  0.125
Epoch  12 Batch  227/269 - Train Accuracy:  0.932, Validation Accuracy:  0.931, Loss:  0.117
Epoch  12 Batch  228/269 - Train Accuracy:  0.920, Validation Accuracy:  0.931, Loss:  0.116
Epoch  12 Batch  229/269 - Train Accuracy:  0.918, Validation Accuracy:  0.931, Loss:  0.116
Epoch  12 Batch  230/269 - Train Accuracy:  0.936, Validation Accuracy:  0.929, Loss:  0.115
Epoch  12 Batch  231/269 - Train Accuracy:  0.920, Validation Accuracy:  0.925, Loss:  0.118
Epoch  12 Batch  232/269 - Train Accuracy:  0.919, Validation Accuracy:  0.924, Loss:  0.115
Epoch  12 Batch  233/269 - Train Accuracy:  0.928, Validation Accuracy:  0.922, Loss:  0.123
Epoch  12 Batch  234/269 - Train Accuracy:  0.924, Validation Accuracy:  0.922, Loss:  0.111
Epoch  12 Batch  235/269 - Train Accuracy:  0.939, Validation Accuracy:  0.921, Loss:  0.105
Epoch  12 Batch  236/269 - Train Accuracy:  0.917, Validation Accuracy:  0.924, Loss:  0.114
Epoch  12 Batch  237/269 - Train Accuracy:  0.936, Validation Accuracy:  0.924, Loss:  0.112
Epoch  12 Batch  238/269 - Train Accuracy:  0.928, Validation Accuracy:  0.926, Loss:  0.117
Epoch  12 Batch  239/269 - Train Accuracy:  0.924, Validation Accuracy:  0.926, Loss:  0.112
Epoch  12 Batch  240/269 - Train Accuracy:  0.927, Validation Accuracy:  0.927, Loss:  0.113
Epoch  12 Batch  241/269 - Train Accuracy:  0.915, Validation Accuracy:  0.924, Loss:  0.128
Epoch  12 Batch  242/269 - Train Accuracy:  0.923, Validation Accuracy:  0.922, Loss:  0.113
Epoch  12 Batch  243/269 - Train Accuracy:  0.930, Validation Accuracy:  0.919, Loss:  0.107
Epoch  12 Batch  244/269 - Train Accuracy:  0.914, Validation Accuracy:  0.921, Loss:  0.111
Epoch  12 Batch  245/269 - Train Accuracy:  0.911, Validation Accuracy:  0.922, Loss:  0.115
Epoch  12 Batch  246/269 - Train Accuracy:  0.924, Validation Accuracy:  0.929, Loss:  0.115
Epoch  12 Batch  247/269 - Train Accuracy:  0.925, Validation Accuracy:  0.929, Loss:  0.116
Epoch  12 Batch  248/269 - Train Accuracy:  0.924, Validation Accuracy:  0.927, Loss:  0.110
Epoch  12 Batch  249/269 - Train Accuracy:  0.925, Validation Accuracy:  0.929, Loss:  0.104
Epoch  12 Batch  250/269 - Train Accuracy:  0.925, Validation Accuracy:  0.930, Loss:  0.117
Epoch  12 Batch  251/269 - Train Accuracy:  0.938, Validation Accuracy:  0.927, Loss:  0.112
Epoch  12 Batch  252/269 - Train Accuracy:  0.921, Validation Accuracy:  0.926, Loss:  0.102
Epoch  12 Batch  253/269 - Train Accuracy:  0.903, Validation Accuracy:  0.927, Loss:  0.123
Epoch  12 Batch  254/269 - Train Accuracy:  0.922, Validation Accuracy:  0.928, Loss:  0.113
Epoch  12 Batch  255/269 - Train Accuracy:  0.918, Validation Accuracy:  0.927, Loss:  0.116
Epoch  12 Batch  256/269 - Train Accuracy:  0.923, Validation Accuracy:  0.928, Loss:  0.113
Epoch  12 Batch  257/269 - Train Accuracy:  0.911, Validation Accuracy:  0.925, Loss:  0.122
Epoch  12 Batch  258/269 - Train Accuracy:  0.911, Validation Accuracy:  0.925, Loss:  0.121
Epoch  12 Batch  259/269 - Train Accuracy:  0.924, Validation Accuracy:  0.923, Loss:  0.113
Epoch  12 Batch  260/269 - Train Accuracy:  0.916, Validation Accuracy:  0.928, Loss:  0.117
Epoch  12 Batch  261/269 - Train Accuracy:  0.918, Validation Accuracy:  0.928, Loss:  0.112
Epoch  12 Batch  262/269 - Train Accuracy:  0.926, Validation Accuracy:  0.929, Loss:  0.116
Epoch  12 Batch  263/269 - Train Accuracy:  0.924, Validation Accuracy:  0.926, Loss:  0.111
Epoch  12 Batch  264/269 - Train Accuracy:  0.893, Validation Accuracy:  0.928, Loss:  0.123
Epoch  12 Batch  265/269 - Train Accuracy:  0.919, Validation Accuracy:  0.927, Loss:  0.107
Epoch  12 Batch  266/269 - Train Accuracy:  0.926, Validation Accuracy:  0.928, Loss:  0.107
Epoch  12 Batch  267/269 - Train Accuracy:  0.926, Validation Accuracy:  0.926, Loss:  0.118
Epoch  13 Batch    0/269 - Train Accuracy:  0.925, Validation Accuracy:  0.923, Loss:  0.125
Epoch  13 Batch    1/269 - Train Accuracy:  0.916, Validation Accuracy:  0.923, Loss:  0.117
Epoch  13 Batch    2/269 - Train Accuracy:  0.922, Validation Accuracy:  0.927, Loss:  0.113
Epoch  13 Batch    3/269 - Train Accuracy:  0.929, Validation Accuracy:  0.928, Loss:  0.118
Epoch  13 Batch    4/269 - Train Accuracy:  0.909, Validation Accuracy:  0.929, Loss:  0.113
Epoch  13 Batch    5/269 - Train Accuracy:  0.913, Validation Accuracy:  0.930, Loss:  0.118
Epoch  13 Batch    6/269 - Train Accuracy:  0.933, Validation Accuracy:  0.922, Loss:  0.104
Epoch  13 Batch    7/269 - Train Accuracy:  0.930, Validation Accuracy:  0.922, Loss:  0.108
Epoch  13 Batch    8/269 - Train Accuracy:  0.937, Validation Accuracy:  0.926, Loss:  0.116
Epoch  13 Batch    9/269 - Train Accuracy:  0.925, Validation Accuracy:  0.926, Loss:  0.114
Epoch  13 Batch   10/269 - Train Accuracy:  0.924, Validation Accuracy:  0.930, Loss:  0.109
Epoch  13 Batch   11/269 - Train Accuracy:  0.925, Validation Accuracy:  0.931, Loss:  0.116
Epoch  13 Batch   12/269 - Train Accuracy:  0.914, Validation Accuracy:  0.930, Loss:  0.120
Epoch  13 Batch   13/269 - Train Accuracy:  0.927, Validation Accuracy:  0.930, Loss:  0.099
Epoch  13 Batch   14/269 - Train Accuracy:  0.925, Validation Accuracy:  0.931, Loss:  0.107
Epoch  13 Batch   15/269 - Train Accuracy:  0.940, Validation Accuracy:  0.929, Loss:  0.095
Epoch  13 Batch   16/269 - Train Accuracy:  0.909, Validation Accuracy:  0.926, Loss:  0.115
Epoch  13 Batch   17/269 - Train Accuracy:  0.932, Validation Accuracy:  0.930, Loss:  0.096
Epoch  13 Batch   18/269 - Train Accuracy:  0.912, Validation Accuracy:  0.930, Loss:  0.112
Epoch  13 Batch   19/269 - Train Accuracy:  0.938, Validation Accuracy:  0.932, Loss:  0.102
Epoch  13 Batch   20/269 - Train Accuracy:  0.939, Validation Accuracy:  0.931, Loss:  0.111
Epoch  13 Batch   21/269 - Train Accuracy:  0.917, Validation Accuracy:  0.931, Loss:  0.121
Epoch  13 Batch   22/269 - Train Accuracy:  0.938, Validation Accuracy:  0.928, Loss:  0.104
Epoch  13 Batch   23/269 - Train Accuracy:  0.923, Validation Accuracy:  0.926, Loss:  0.122
Epoch  13 Batch   24/269 - Train Accuracy:  0.916, Validation Accuracy:  0.928, Loss:  0.113
Epoch  13 Batch   25/269 - Train Accuracy:  0.921, Validation Accuracy:  0.930, Loss:  0.120
Epoch  13 Batch   26/269 - Train Accuracy:  0.919, Validation Accuracy:  0.931, Loss:  0.103
Epoch  13 Batch   27/269 - Train Accuracy:  0.910, Validation Accuracy:  0.925, Loss:  0.107
Epoch  13 Batch   28/269 - Train Accuracy:  0.900, Validation Accuracy:  0.928, Loss:  0.121
Epoch  13 Batch   29/269 - Train Accuracy:  0.921, Validation Accuracy:  0.923, Loss:  0.113
Epoch  13 Batch   30/269 - Train Accuracy:  0.914, Validation Accuracy:  0.925, Loss:  0.110
Epoch  13 Batch   31/269 - Train Accuracy:  0.920, Validation Accuracy:  0.926, Loss:  0.106
Epoch  13 Batch   32/269 - Train Accuracy:  0.926, Validation Accuracy:  0.925, Loss:  0.103
Epoch  13 Batch   33/269 - Train Accuracy:  0.929, Validation Accuracy:  0.925, Loss:  0.100
Epoch  13 Batch   34/269 - Train Accuracy:  0.920, Validation Accuracy:  0.927, Loss:  0.104
Epoch  13 Batch   35/269 - Train Accuracy:  0.926, Validation Accuracy:  0.926, Loss:  0.120
Epoch  13 Batch   36/269 - Train Accuracy:  0.926, Validation Accuracy:  0.927, Loss:  0.106
Epoch  13 Batch   37/269 - Train Accuracy:  0.919, Validation Accuracy:  0.927, Loss:  0.115
Epoch  13 Batch   38/269 - Train Accuracy:  0.925, Validation Accuracy:  0.924, Loss:  0.111
Epoch  13 Batch   39/269 - Train Accuracy:  0.918, Validation Accuracy:  0.926, Loss:  0.104
Epoch  13 Batch   40/269 - Train Accuracy:  0.911, Validation Accuracy:  0.926, Loss:  0.108
Epoch  13 Batch   41/269 - Train Accuracy:  0.921, Validation Accuracy:  0.926, Loss:  0.112
Epoch  13 Batch   42/269 - Train Accuracy:  0.937, Validation Accuracy:  0.924, Loss:  0.100
Epoch  13 Batch   43/269 - Train Accuracy:  0.930, Validation Accuracy:  0.925, Loss:  0.117
Epoch  13 Batch   44/269 - Train Accuracy:  0.931, Validation Accuracy:  0.926, Loss:  0.116
Epoch  13 Batch   45/269 - Train Accuracy:  0.923, Validation Accuracy:  0.924, Loss:  0.111
Epoch  13 Batch   46/269 - Train Accuracy:  0.916, Validation Accuracy:  0.928, Loss:  0.110
Epoch  13 Batch   47/269 - Train Accuracy:  0.930, Validation Accuracy:  0.928, Loss:  0.099
Epoch  13 Batch   48/269 - Train Accuracy:  0.931, Validation Accuracy:  0.929, Loss:  0.105
Epoch  13 Batch   49/269 - Train Accuracy:  0.924, Validation Accuracy:  0.928, Loss:  0.107
Epoch  13 Batch   50/269 - Train Accuracy:  0.903, Validation Accuracy:  0.927, Loss:  0.124
Epoch  13 Batch   51/269 - Train Accuracy:  0.930, Validation Accuracy:  0.926, Loss:  0.109
Epoch  13 Batch   52/269 - Train Accuracy:  0.923, Validation Accuracy:  0.926, Loss:  0.096
Epoch  13 Batch   53/269 - Train Accuracy:  0.913, Validation Accuracy:  0.925, Loss:  0.122
Epoch  13 Batch   54/269 - Train Accuracy:  0.933, Validation Accuracy:  0.926, Loss:  0.109
Epoch  13 Batch   55/269 - Train Accuracy:  0.927, Validation Accuracy:  0.926, Loss:  0.103
Epoch  13 Batch   56/269 - Train Accuracy:  0.921, Validation Accuracy:  0.925, Loss:  0.112
Epoch  13 Batch   57/269 - Train Accuracy:  0.920, Validation Accuracy:  0.924, Loss:  0.120
Epoch  13 Batch   58/269 - Train Accuracy:  0.931, Validation Accuracy:  0.924, Loss:  0.107
Epoch  13 Batch   59/269 - Train Accuracy:  0.942, Validation Accuracy:  0.926, Loss:  0.095
Epoch  13 Batch   60/269 - Train Accuracy:  0.926, Validation Accuracy:  0.925, Loss:  0.101
Epoch  13 Batch   61/269 - Train Accuracy:  0.934, Validation Accuracy:  0.926, Loss:  0.102
Epoch  13 Batch   62/269 - Train Accuracy:  0.909, Validation Accuracy:  0.926, Loss:  0.111
Epoch  13 Batch   63/269 - Train Accuracy:  0.919, Validation Accuracy:  0.924, Loss:  0.116
Epoch  13 Batch   64/269 - Train Accuracy:  0.926, Validation Accuracy:  0.923, Loss:  0.100
Epoch  13 Batch   65/269 - Train Accuracy:  0.922, Validation Accuracy:  0.926, Loss:  0.106
Epoch  13 Batch   66/269 - Train Accuracy:  0.926, Validation Accuracy:  0.928, Loss:  0.104
Epoch  13 Batch   67/269 - Train Accuracy:  0.919, Validation Accuracy:  0.928, Loss:  0.115
Epoch  13 Batch   68/269 - Train Accuracy:  0.918, Validation Accuracy:  0.925, Loss:  0.118
Epoch  13 Batch   69/269 - Train Accuracy:  0.911, Validation Accuracy:  0.925, Loss:  0.128
Epoch  13 Batch   70/269 - Train Accuracy:  0.920, Validation Accuracy:  0.923, Loss:  0.117
Epoch  13 Batch   71/269 - Train Accuracy:  0.915, Validation Accuracy:  0.925, Loss:  0.119
Epoch  13 Batch   72/269 - Train Accuracy:  0.932, Validation Accuracy:  0.927, Loss:  0.116
Epoch  13 Batch   73/269 - Train Accuracy:  0.924, Validation Accuracy:  0.926, Loss:  0.121
Epoch  13 Batch   74/269 - Train Accuracy:  0.936, Validation Accuracy:  0.925, Loss:  0.113
Epoch  13 Batch   75/269 - Train Accuracy:  0.923, Validation Accuracy:  0.925, Loss:  0.112
Epoch  13 Batch   76/269 - Train Accuracy:  0.920, Validation Accuracy:  0.922, Loss:  0.108
Epoch  13 Batch   77/269 - Train Accuracy:  0.926, Validation Accuracy:  0.921, Loss:  0.107
Epoch  13 Batch   78/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.111
Epoch  13 Batch   79/269 - Train Accuracy:  0.911, Validation Accuracy:  0.922, Loss:  0.106
Epoch  13 Batch   80/269 - Train Accuracy:  0.927, Validation Accuracy:  0.920, Loss:  0.105
Epoch  13 Batch   81/269 - Train Accuracy:  0.911, Validation Accuracy:  0.920, Loss:  0.121
Epoch  13 Batch   82/269 - Train Accuracy:  0.937, Validation Accuracy:  0.921, Loss:  0.103
Epoch  13 Batch   83/269 - Train Accuracy:  0.904, Validation Accuracy:  0.923, Loss:  0.116
Epoch  13 Batch   84/269 - Train Accuracy:  0.925, Validation Accuracy:  0.922, Loss:  0.110
Epoch  13 Batch   85/269 - Train Accuracy:  0.923, Validation Accuracy:  0.922, Loss:  0.103
Epoch  13 Batch   86/269 - Train Accuracy:  0.931, Validation Accuracy:  0.921, Loss:  0.105
Epoch  13 Batch   87/269 - Train Accuracy:  0.923, Validation Accuracy:  0.921, Loss:  0.121
Epoch  13 Batch   88/269 - Train Accuracy:  0.899, Validation Accuracy:  0.922, Loss:  0.111
Epoch  13 Batch   89/269 - Train Accuracy:  0.936, Validation Accuracy:  0.919, Loss:  0.106
Epoch  13 Batch   90/269 - Train Accuracy:  0.926, Validation Accuracy:  0.918, Loss:  0.116
Epoch  13 Batch   91/269 - Train Accuracy:  0.934, Validation Accuracy:  0.919, Loss:  0.103
Epoch  13 Batch   92/269 - Train Accuracy:  0.935, Validation Accuracy:  0.922, Loss:  0.102
Epoch  13 Batch   93/269 - Train Accuracy:  0.929, Validation Accuracy:  0.922, Loss:  0.105
Epoch  13 Batch   94/269 - Train Accuracy:  0.923, Validation Accuracy:  0.921, Loss:  0.120
Epoch  13 Batch   95/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.102
Epoch  13 Batch   96/269 - Train Accuracy:  0.910, Validation Accuracy:  0.924, Loss:  0.106
Epoch  13 Batch   97/269 - Train Accuracy:  0.924, Validation Accuracy:  0.923, Loss:  0.109
Epoch  13 Batch   98/269 - Train Accuracy:  0.934, Validation Accuracy:  0.924, Loss:  0.108
Epoch  13 Batch   99/269 - Train Accuracy:  0.926, Validation Accuracy:  0.925, Loss:  0.107
Epoch  13 Batch  100/269 - Train Accuracy:  0.931, Validation Accuracy:  0.927, Loss:  0.102
Epoch  13 Batch  101/269 - Train Accuracy:  0.923, Validation Accuracy:  0.924, Loss:  0.115
Epoch  13 Batch  102/269 - Train Accuracy:  0.928, Validation Accuracy:  0.923, Loss:  0.108
Epoch  13 Batch  103/269 - Train Accuracy:  0.928, Validation Accuracy:  0.920, Loss:  0.120
Epoch  13 Batch  104/269 - Train Accuracy:  0.932, Validation Accuracy:  0.924, Loss:  0.103
Epoch  13 Batch  105/269 - Train Accuracy:  0.915, Validation Accuracy:  0.925, Loss:  0.106
Epoch  13 Batch  106/269 - Train Accuracy:  0.939, Validation Accuracy:  0.928, Loss:  0.096
Epoch  13 Batch  107/269 - Train Accuracy:  0.944, Validation Accuracy:  0.930, Loss:  0.110
Epoch  13 Batch  108/269 - Train Accuracy:  0.930, Validation Accuracy:  0.930, Loss:  0.104
Epoch  13 Batch  109/269 - Train Accuracy:  0.906, Validation Accuracy:  0.922, Loss:  0.117
Epoch  13 Batch  110/269 - Train Accuracy:  0.921, Validation Accuracy:  0.923, Loss:  0.107
Epoch  13 Batch  111/269 - Train Accuracy:  0.921, Validation Accuracy:  0.922, Loss:  0.112
Epoch  13 Batch  112/269 - Train Accuracy:  0.927, Validation Accuracy:  0.921, Loss:  0.107
Epoch  13 Batch  113/269 - Train Accuracy:  0.921, Validation Accuracy:  0.921, Loss:  0.106
Epoch  13 Batch  114/269 - Train Accuracy:  0.916, Validation Accuracy:  0.921, Loss:  0.113
Epoch  13 Batch  115/269 - Train Accuracy:  0.923, Validation Accuracy:  0.924, Loss:  0.109
Epoch  13 Batch  116/269 - Train Accuracy:  0.932, Validation Accuracy:  0.922, Loss:  0.111
Epoch  13 Batch  117/269 - Train Accuracy:  0.932, Validation Accuracy:  0.923, Loss:  0.105
Epoch  13 Batch  118/269 - Train Accuracy:  0.936, Validation Accuracy:  0.927, Loss:  0.098
Epoch  13 Batch  119/269 - Train Accuracy:  0.917, Validation Accuracy:  0.926, Loss:  0.124
Epoch  13 Batch  120/269 - Train Accuracy:  0.928, Validation Accuracy:  0.927, Loss:  0.103
Epoch  13 Batch  121/269 - Train Accuracy:  0.926, Validation Accuracy:  0.927, Loss:  0.098
Epoch  13 Batch  122/269 - Train Accuracy:  0.931, Validation Accuracy:  0.930, Loss:  0.101
Epoch  13 Batch  123/269 - Train Accuracy:  0.917, Validation Accuracy:  0.930, Loss:  0.112
Epoch  13 Batch  124/269 - Train Accuracy:  0.925, Validation Accuracy:  0.932, Loss:  0.095
Epoch  13 Batch  125/269 - Train Accuracy:  0.935, Validation Accuracy:  0.932, Loss:  0.097
Epoch  13 Batch  126/269 - Train Accuracy:  0.909, Validation Accuracy:  0.924, Loss:  0.102
Epoch  13 Batch  127/269 - Train Accuracy:  0.921, Validation Accuracy:  0.924, Loss:  0.109
Epoch  13 Batch  128/269 - Train Accuracy:  0.921, Validation Accuracy:  0.921, Loss:  0.110
Epoch  13 Batch  129/269 - Train Accuracy:  0.917, Validation Accuracy:  0.922, Loss:  0.114
Epoch  13 Batch  130/269 - Train Accuracy:  0.920, Validation Accuracy:  0.920, Loss:  0.109
Epoch  13 Batch  131/269 - Train Accuracy:  0.904, Validation Accuracy:  0.924, Loss:  0.112
Epoch  13 Batch  132/269 - Train Accuracy:  0.911, Validation Accuracy:  0.926, Loss:  0.110
Epoch  13 Batch  133/269 - Train Accuracy:  0.931, Validation Accuracy:  0.928, Loss:  0.099
Epoch  13 Batch  134/269 - Train Accuracy:  0.929, Validation Accuracy:  0.928, Loss:  0.103
Epoch  13 Batch  135/269 - Train Accuracy:  0.930, Validation Accuracy:  0.930, Loss:  0.112
Epoch  13 Batch  136/269 - Train Accuracy:  0.906, Validation Accuracy:  0.932, Loss:  0.119
Epoch  13 Batch  137/269 - Train Accuracy:  0.916, Validation Accuracy:  0.931, Loss:  0.116
Epoch  13 Batch  138/269 - Train Accuracy:  0.926, Validation Accuracy:  0.927, Loss:  0.100
Epoch  13 Batch  139/269 - Train Accuracy:  0.919, Validation Accuracy:  0.930, Loss:  0.095
Epoch  13 Batch  140/269 - Train Accuracy:  0.918, Validation Accuracy:  0.928, Loss:  0.109
Epoch  13 Batch  141/269 - Train Accuracy:  0.914, Validation Accuracy:  0.928, Loss:  0.114
Epoch  13 Batch  142/269 - Train Accuracy:  0.926, Validation Accuracy:  0.926, Loss:  0.107
Epoch  13 Batch  143/269 - Train Accuracy:  0.935, Validation Accuracy:  0.928, Loss:  0.103
Epoch  13 Batch  144/269 - Train Accuracy:  0.929, Validation Accuracy:  0.929, Loss:  0.095
Epoch  13 Batch  145/269 - Train Accuracy:  0.926, Validation Accuracy:  0.929, Loss:  0.097
Epoch  13 Batch  146/269 - Train Accuracy:  0.923, Validation Accuracy:  0.928, Loss:  0.105
Epoch  13 Batch  147/269 - Train Accuracy:  0.928, Validation Accuracy:  0.926, Loss:  0.114
Epoch  13 Batch  148/269 - Train Accuracy:  0.928, Validation Accuracy:  0.927, Loss:  0.103
Epoch  13 Batch  149/269 - Train Accuracy:  0.907, Validation Accuracy:  0.926, Loss:  0.116
Epoch  13 Batch  150/269 - Train Accuracy:  0.927, Validation Accuracy:  0.927, Loss:  0.109
Epoch  13 Batch  151/269 - Train Accuracy:  0.928, Validation Accuracy:  0.927, Loss:  0.103
Epoch  13 Batch  152/269 - Train Accuracy:  0.925, Validation Accuracy:  0.929, Loss:  0.109
Epoch  13 Batch  153/269 - Train Accuracy:  0.929, Validation Accuracy:  0.930, Loss:  0.105
Epoch  13 Batch  154/269 - Train Accuracy:  0.934, Validation Accuracy:  0.930, Loss:  0.107
Epoch  13 Batch  155/269 - Train Accuracy:  0.921, Validation Accuracy:  0.931, Loss:  0.102
Epoch  13 Batch  156/269 - Train Accuracy:  0.933, Validation Accuracy:  0.929, Loss:  0.113
Epoch  13 Batch  157/269 - Train Accuracy:  0.918, Validation Accuracy:  0.927, Loss:  0.101
Epoch  13 Batch  158/269 - Train Accuracy:  0.924, Validation Accuracy:  0.928, Loss:  0.103
Epoch  13 Batch  159/269 - Train Accuracy:  0.925, Validation Accuracy:  0.925, Loss:  0.109
Epoch  13 Batch  160/269 - Train Accuracy:  0.924, Validation Accuracy:  0.928, Loss:  0.107
Epoch  13 Batch  161/269 - Train Accuracy:  0.932, Validation Accuracy:  0.928, Loss:  0.101
Epoch  13 Batch  162/269 - Train Accuracy:  0.930, Validation Accuracy:  0.929, Loss:  0.107
Epoch  13 Batch  163/269 - Train Accuracy:  0.932, Validation Accuracy:  0.932, Loss:  0.102
Epoch  13 Batch  164/269 - Train Accuracy:  0.942, Validation Accuracy:  0.931, Loss:  0.101
Epoch  13 Batch  165/269 - Train Accuracy:  0.922, Validation Accuracy:  0.929, Loss:  0.103
Epoch  13 Batch  166/269 - Train Accuracy:  0.934, Validation Accuracy:  0.928, Loss:  0.106
Epoch  13 Batch  167/269 - Train Accuracy:  0.925, Validation Accuracy:  0.927, Loss:  0.104
Epoch  13 Batch  168/269 - Train Accuracy:  0.934, Validation Accuracy:  0.927, Loss:  0.107
Epoch  13 Batch  169/269 - Train Accuracy:  0.916, Validation Accuracy:  0.926, Loss:  0.104
Epoch  13 Batch  170/269 - Train Accuracy:  0.931, Validation Accuracy:  0.926, Loss:  0.106
Epoch  13 Batch  171/269 - Train Accuracy:  0.942, Validation Accuracy:  0.930, Loss:  0.108
Epoch  13 Batch  172/269 - Train Accuracy:  0.919, Validation Accuracy:  0.933, Loss:  0.116
Epoch  13 Batch  173/269 - Train Accuracy:  0.936, Validation Accuracy:  0.933, Loss:  0.100
Epoch  13 Batch  174/269 - Train Accuracy:  0.939, Validation Accuracy:  0.934, Loss:  0.102
Epoch  13 Batch  175/269 - Train Accuracy:  0.924, Validation Accuracy:  0.935, Loss:  0.121
Epoch  13 Batch  176/269 - Train Accuracy:  0.911, Validation Accuracy:  0.931, Loss:  0.113
Epoch  13 Batch  177/269 - Train Accuracy:  0.921, Validation Accuracy:  0.930, Loss:  0.097
Epoch  13 Batch  178/269 - Train Accuracy:  0.936, Validation Accuracy:  0.930, Loss:  0.098
Epoch  13 Batch  179/269 - Train Accuracy:  0.911, Validation Accuracy:  0.929, Loss:  0.104
Epoch  13 Batch  180/269 - Train Accuracy:  0.931, Validation Accuracy:  0.929, Loss:  0.098
Epoch  13 Batch  181/269 - Train Accuracy:  0.915, Validation Accuracy:  0.929, Loss:  0.106
Epoch  13 Batch  182/269 - Train Accuracy:  0.929, Validation Accuracy:  0.930, Loss:  0.107
Epoch  13 Batch  183/269 - Train Accuracy:  0.937, Validation Accuracy:  0.930, Loss:  0.085
Epoch  13 Batch  184/269 - Train Accuracy:  0.929, Validation Accuracy:  0.932, Loss:  0.107
Epoch  13 Batch  185/269 - Train Accuracy:  0.948, Validation Accuracy:  0.929, Loss:  0.110
Epoch  13 Batch  186/269 - Train Accuracy:  0.920, Validation Accuracy:  0.931, Loss:  0.099
Epoch  13 Batch  187/269 - Train Accuracy:  0.924, Validation Accuracy:  0.931, Loss:  0.100
Epoch  13 Batch  188/269 - Train Accuracy:  0.932, Validation Accuracy:  0.931, Loss:  0.100
Epoch  13 Batch  189/269 - Train Accuracy:  0.932, Validation Accuracy:  0.933, Loss:  0.101
Epoch  13 Batch  190/269 - Train Accuracy:  0.922, Validation Accuracy:  0.932, Loss:  0.101
Epoch  13 Batch  191/269 - Train Accuracy:  0.911, Validation Accuracy:  0.934, Loss:  0.103
Epoch  13 Batch  192/269 - Train Accuracy:  0.918, Validation Accuracy:  0.930, Loss:  0.107
Epoch  13 Batch  193/269 - Train Accuracy:  0.924, Validation Accuracy:  0.930, Loss:  0.104
Epoch  13 Batch  194/269 - Train Accuracy:  0.926, Validation Accuracy:  0.932, Loss:  0.104
Epoch  13 Batch  195/269 - Train Accuracy:  0.924, Validation Accuracy:  0.931, Loss:  0.103
Epoch  13 Batch  196/269 - Train Accuracy:  0.927, Validation Accuracy:  0.930, Loss:  0.099
Epoch  13 Batch  197/269 - Train Accuracy:  0.914, Validation Accuracy:  0.929, Loss:  0.101
Epoch  13 Batch  198/269 - Train Accuracy:  0.927, Validation Accuracy:  0.932, Loss:  0.108
Epoch  13 Batch  199/269 - Train Accuracy:  0.918, Validation Accuracy:  0.931, Loss:  0.106
Epoch  13 Batch  200/269 - Train Accuracy:  0.924, Validation Accuracy:  0.931, Loss:  0.107
Epoch  13 Batch  201/269 - Train Accuracy:  0.943, Validation Accuracy:  0.932, Loss:  0.103
Epoch  13 Batch  202/269 - Train Accuracy:  0.936, Validation Accuracy:  0.933, Loss:  0.106
Epoch  13 Batch  203/269 - Train Accuracy:  0.927, Validation Accuracy:  0.935, Loss:  0.115
Epoch  13 Batch  204/269 - Train Accuracy:  0.938, Validation Accuracy:  0.933, Loss:  0.104
Epoch  13 Batch  205/269 - Train Accuracy:  0.930, Validation Accuracy:  0.936, Loss:  0.099
Epoch  13 Batch  206/269 - Train Accuracy:  0.904, Validation Accuracy:  0.934, Loss:  0.112
Epoch  13 Batch  207/269 - Train Accuracy:  0.927, Validation Accuracy:  0.933, Loss:  0.100
Epoch  13 Batch  208/269 - Train Accuracy:  0.927, Validation Accuracy:  0.931, Loss:  0.112
Epoch  13 Batch  209/269 - Train Accuracy:  0.942, Validation Accuracy:  0.930, Loss:  0.100
Epoch  13 Batch  210/269 - Train Accuracy:  0.926, Validation Accuracy:  0.929, Loss:  0.100
Epoch  13 Batch  211/269 - Train Accuracy:  0.923, Validation Accuracy:  0.928, Loss:  0.104
Epoch  13 Batch  212/269 - Train Accuracy:  0.923, Validation Accuracy:  0.928, Loss:  0.109
Epoch  13 Batch  213/269 - Train Accuracy:  0.918, Validation Accuracy:  0.928, Loss:  0.104
Epoch  13 Batch  214/269 - Train Accuracy:  0.914, Validation Accuracy:  0.929, Loss:  0.106
Epoch  13 Batch  215/269 - Train Accuracy:  0.936, Validation Accuracy:  0.931, Loss:  0.097
Epoch  13 Batch  216/269 - Train Accuracy:  0.917, Validation Accuracy:  0.932, Loss:  0.120
Epoch  13 Batch  217/269 - Train Accuracy:  0.913, Validation Accuracy:  0.932, Loss:  0.109
Epoch  13 Batch  218/269 - Train Accuracy:  0.933, Validation Accuracy:  0.930, Loss:  0.105
Epoch  13 Batch  219/269 - Train Accuracy:  0.928, Validation Accuracy:  0.933, Loss:  0.111
Epoch  13 Batch  220/269 - Train Accuracy:  0.928, Validation Accuracy:  0.935, Loss:  0.097
Epoch  13 Batch  221/269 - Train Accuracy:  0.936, Validation Accuracy:  0.935, Loss:  0.103
Epoch  13 Batch  222/269 - Train Accuracy:  0.950, Validation Accuracy:  0.937, Loss:  0.095
Epoch  13 Batch  223/269 - Train Accuracy:  0.927, Validation Accuracy:  0.937, Loss:  0.097
Epoch  13 Batch  224/269 - Train Accuracy:  0.926, Validation Accuracy:  0.936, Loss:  0.118
Epoch  13 Batch  225/269 - Train Accuracy:  0.927, Validation Accuracy:  0.935, Loss:  0.105
Epoch  13 Batch  226/269 - Train Accuracy:  0.932, Validation Accuracy:  0.935, Loss:  0.107
Epoch  13 Batch  227/269 - Train Accuracy:  0.945, Validation Accuracy:  0.932, Loss:  0.111
Epoch  13 Batch  228/269 - Train Accuracy:  0.930, Validation Accuracy:  0.938, Loss:  0.105
Epoch  13 Batch  229/269 - Train Accuracy:  0.928, Validation Accuracy:  0.933, Loss:  0.103
Epoch  13 Batch  230/269 - Train Accuracy:  0.933, Validation Accuracy:  0.931, Loss:  0.101
Epoch  13 Batch  231/269 - Train Accuracy:  0.918, Validation Accuracy:  0.931, Loss:  0.104
Epoch  13 Batch  232/269 - Train Accuracy:  0.928, Validation Accuracy:  0.931, Loss:  0.102
Epoch  13 Batch  233/269 - Train Accuracy:  0.941, Validation Accuracy:  0.934, Loss:  0.109
Epoch  13 Batch  234/269 - Train Accuracy:  0.933, Validation Accuracy:  0.931, Loss:  0.099
Epoch  13 Batch  235/269 - Train Accuracy:  0.948, Validation Accuracy:  0.932, Loss:  0.093
Epoch  13 Batch  236/269 - Train Accuracy:  0.926, Validation Accuracy:  0.930, Loss:  0.096
Epoch  13 Batch  237/269 - Train Accuracy:  0.942, Validation Accuracy:  0.929, Loss:  0.095
Epoch  13 Batch  238/269 - Train Accuracy:  0.932, Validation Accuracy:  0.928, Loss:  0.110
Epoch  13 Batch  239/269 - Train Accuracy:  0.928, Validation Accuracy:  0.928, Loss:  0.095
Epoch  13 Batch  240/269 - Train Accuracy:  0.929, Validation Accuracy:  0.927, Loss:  0.097
Epoch  13 Batch  241/269 - Train Accuracy:  0.924, Validation Accuracy:  0.927, Loss:  0.113
Epoch  13 Batch  242/269 - Train Accuracy:  0.929, Validation Accuracy:  0.929, Loss:  0.100
Epoch  13 Batch  243/269 - Train Accuracy:  0.941, Validation Accuracy:  0.930, Loss:  0.097
Epoch  13 Batch  244/269 - Train Accuracy:  0.915, Validation Accuracy:  0.933, Loss:  0.100
Epoch  13 Batch  245/269 - Train Accuracy:  0.919, Validation Accuracy:  0.937, Loss:  0.110
Epoch  13 Batch  246/269 - Train Accuracy:  0.927, Validation Accuracy:  0.938, Loss:  0.100
Epoch  13 Batch  247/269 - Train Accuracy:  0.928, Validation Accuracy:  0.937, Loss:  0.100
Epoch  13 Batch  248/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.102
Epoch  13 Batch  249/269 - Train Accuracy:  0.929, Validation Accuracy:  0.940, Loss:  0.095
Epoch  13 Batch  250/269 - Train Accuracy:  0.932, Validation Accuracy:  0.938, Loss:  0.102
Epoch  13 Batch  251/269 - Train Accuracy:  0.940, Validation Accuracy:  0.938, Loss:  0.097
Epoch  13 Batch  252/269 - Train Accuracy:  0.937, Validation Accuracy:  0.938, Loss:  0.096
Epoch  13 Batch  253/269 - Train Accuracy:  0.913, Validation Accuracy:  0.940, Loss:  0.108
Epoch  13 Batch  254/269 - Train Accuracy:  0.939, Validation Accuracy:  0.940, Loss:  0.095
Epoch  13 Batch  255/269 - Train Accuracy:  0.920, Validation Accuracy:  0.941, Loss:  0.103
Epoch  13 Batch  256/269 - Train Accuracy:  0.922, Validation Accuracy:  0.941, Loss:  0.100
Epoch  13 Batch  257/269 - Train Accuracy:  0.920, Validation Accuracy:  0.939, Loss:  0.110
Epoch  13 Batch  258/269 - Train Accuracy:  0.917, Validation Accuracy:  0.937, Loss:  0.102
Epoch  13 Batch  259/269 - Train Accuracy:  0.937, Validation Accuracy:  0.935, Loss:  0.100
Epoch  13 Batch  260/269 - Train Accuracy:  0.919, Validation Accuracy:  0.934, Loss:  0.110
Epoch  13 Batch  261/269 - Train Accuracy:  0.926, Validation Accuracy:  0.934, Loss:  0.100
Epoch  13 Batch  262/269 - Train Accuracy:  0.926, Validation Accuracy:  0.936, Loss:  0.106
Epoch  13 Batch  263/269 - Train Accuracy:  0.929, Validation Accuracy:  0.933, Loss:  0.101
Epoch  13 Batch  264/269 - Train Accuracy:  0.893, Validation Accuracy:  0.936, Loss:  0.109
Epoch  13 Batch  265/269 - Train Accuracy:  0.928, Validation Accuracy:  0.938, Loss:  0.101
Epoch  13 Batch  266/269 - Train Accuracy:  0.933, Validation Accuracy:  0.937, Loss:  0.094
Epoch  13 Batch  267/269 - Train Accuracy:  0.932, Validation Accuracy:  0.937, Loss:  0.108
Epoch  14 Batch    0/269 - Train Accuracy:  0.935, Validation Accuracy:  0.937, Loss:  0.113
Epoch  14 Batch    1/269 - Train Accuracy:  0.928, Validation Accuracy:  0.941, Loss:  0.104
Epoch  14 Batch    2/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.103
Epoch  14 Batch    3/269 - Train Accuracy:  0.927, Validation Accuracy:  0.933, Loss:  0.103
Epoch  14 Batch    4/269 - Train Accuracy:  0.915, Validation Accuracy:  0.935, Loss:  0.101
Epoch  14 Batch    5/269 - Train Accuracy:  0.918, Validation Accuracy:  0.935, Loss:  0.102
Epoch  14 Batch    6/269 - Train Accuracy:  0.936, Validation Accuracy:  0.932, Loss:  0.093
Epoch  14 Batch    7/269 - Train Accuracy:  0.931, Validation Accuracy:  0.933, Loss:  0.096
Epoch  14 Batch    8/269 - Train Accuracy:  0.938, Validation Accuracy:  0.934, Loss:  0.101
Epoch  14 Batch    9/269 - Train Accuracy:  0.926, Validation Accuracy:  0.935, Loss:  0.102
Epoch  14 Batch   10/269 - Train Accuracy:  0.933, Validation Accuracy:  0.932, Loss:  0.094
Epoch  14 Batch   11/269 - Train Accuracy:  0.930, Validation Accuracy:  0.934, Loss:  0.111
Epoch  14 Batch   12/269 - Train Accuracy:  0.913, Validation Accuracy:  0.936, Loss:  0.106
Epoch  14 Batch   13/269 - Train Accuracy:  0.924, Validation Accuracy:  0.935, Loss:  0.092
Epoch  14 Batch   14/269 - Train Accuracy:  0.931, Validation Accuracy:  0.934, Loss:  0.101
Epoch  14 Batch   15/269 - Train Accuracy:  0.938, Validation Accuracy:  0.937, Loss:  0.094
Epoch  14 Batch   16/269 - Train Accuracy:  0.917, Validation Accuracy:  0.939, Loss:  0.101
Epoch  14 Batch   17/269 - Train Accuracy:  0.933, Validation Accuracy:  0.936, Loss:  0.084
Epoch  14 Batch   18/269 - Train Accuracy:  0.919, Validation Accuracy:  0.935, Loss:  0.099
Epoch  14 Batch   19/269 - Train Accuracy:  0.941, Validation Accuracy:  0.935, Loss:  0.085
Epoch  14 Batch   20/269 - Train Accuracy:  0.937, Validation Accuracy:  0.934, Loss:  0.101
Epoch  14 Batch   21/269 - Train Accuracy:  0.922, Validation Accuracy:  0.934, Loss:  0.113
Epoch  14 Batch   22/269 - Train Accuracy:  0.943, Validation Accuracy:  0.933, Loss:  0.093
Epoch  14 Batch   23/269 - Train Accuracy:  0.930, Validation Accuracy:  0.933, Loss:  0.109
Epoch  14 Batch   24/269 - Train Accuracy:  0.926, Validation Accuracy:  0.931, Loss:  0.099
Epoch  14 Batch   25/269 - Train Accuracy:  0.932, Validation Accuracy:  0.934, Loss:  0.102
Epoch  14 Batch   26/269 - Train Accuracy:  0.920, Validation Accuracy:  0.935, Loss:  0.091
Epoch  14 Batch   27/269 - Train Accuracy:  0.923, Validation Accuracy:  0.934, Loss:  0.096
Epoch  14 Batch   28/269 - Train Accuracy:  0.908, Validation Accuracy:  0.936, Loss:  0.109
Epoch  14 Batch   29/269 - Train Accuracy:  0.930, Validation Accuracy:  0.935, Loss:  0.108
Epoch  14 Batch   30/269 - Train Accuracy:  0.930, Validation Accuracy:  0.934, Loss:  0.097
Epoch  14 Batch   31/269 - Train Accuracy:  0.936, Validation Accuracy:  0.932, Loss:  0.096
Epoch  14 Batch   32/269 - Train Accuracy:  0.933, Validation Accuracy:  0.932, Loss:  0.093
Epoch  14 Batch   33/269 - Train Accuracy:  0.932, Validation Accuracy:  0.932, Loss:  0.091
Epoch  14 Batch   34/269 - Train Accuracy:  0.930, Validation Accuracy:  0.932, Loss:  0.096
Epoch  14 Batch   35/269 - Train Accuracy:  0.930, Validation Accuracy:  0.932, Loss:  0.109
Epoch  14 Batch   36/269 - Train Accuracy:  0.929, Validation Accuracy:  0.934, Loss:  0.094
Epoch  14 Batch   37/269 - Train Accuracy:  0.921, Validation Accuracy:  0.931, Loss:  0.103
Epoch  14 Batch   38/269 - Train Accuracy:  0.926, Validation Accuracy:  0.930, Loss:  0.100
Epoch  14 Batch   39/269 - Train Accuracy:  0.927, Validation Accuracy:  0.930, Loss:  0.095
Epoch  14 Batch   40/269 - Train Accuracy:  0.924, Validation Accuracy:  0.934, Loss:  0.099
Epoch  14 Batch   41/269 - Train Accuracy:  0.928, Validation Accuracy:  0.933, Loss:  0.102
Epoch  14 Batch   42/269 - Train Accuracy:  0.945, Validation Accuracy:  0.933, Loss:  0.087
Epoch  14 Batch   43/269 - Train Accuracy:  0.939, Validation Accuracy:  0.935, Loss:  0.106
Epoch  14 Batch   44/269 - Train Accuracy:  0.940, Validation Accuracy:  0.931, Loss:  0.104
Epoch  14 Batch   45/269 - Train Accuracy:  0.930, Validation Accuracy:  0.932, Loss:  0.104
Epoch  14 Batch   46/269 - Train Accuracy:  0.929, Validation Accuracy:  0.933, Loss:  0.097
Epoch  14 Batch   47/269 - Train Accuracy:  0.936, Validation Accuracy:  0.934, Loss:  0.088
Epoch  14 Batch   48/269 - Train Accuracy:  0.940, Validation Accuracy:  0.934, Loss:  0.094
Epoch  14 Batch   49/269 - Train Accuracy:  0.931, Validation Accuracy:  0.934, Loss:  0.101
Epoch  14 Batch   50/269 - Train Accuracy:  0.905, Validation Accuracy:  0.935, Loss:  0.109
Epoch  14 Batch   51/269 - Train Accuracy:  0.941, Validation Accuracy:  0.935, Loss:  0.095
Epoch  14 Batch   52/269 - Train Accuracy:  0.927, Validation Accuracy:  0.935, Loss:  0.089
Epoch  14 Batch   53/269 - Train Accuracy:  0.928, Validation Accuracy:  0.934, Loss:  0.105
Epoch  14 Batch   54/269 - Train Accuracy:  0.935, Validation Accuracy:  0.932, Loss:  0.094
Epoch  14 Batch   55/269 - Train Accuracy:  0.925, Validation Accuracy:  0.935, Loss:  0.096
Epoch  14 Batch   56/269 - Train Accuracy:  0.929, Validation Accuracy:  0.934, Loss:  0.102
Epoch  14 Batch   57/269 - Train Accuracy:  0.924, Validation Accuracy:  0.934, Loss:  0.110
Epoch  14 Batch   58/269 - Train Accuracy:  0.936, Validation Accuracy:  0.935, Loss:  0.100
Epoch  14 Batch   59/269 - Train Accuracy:  0.938, Validation Accuracy:  0.934, Loss:  0.086
Epoch  14 Batch   60/269 - Train Accuracy:  0.935, Validation Accuracy:  0.934, Loss:  0.093
Epoch  14 Batch   61/269 - Train Accuracy:  0.946, Validation Accuracy:  0.936, Loss:  0.090
Epoch  14 Batch   62/269 - Train Accuracy:  0.920, Validation Accuracy:  0.934, Loss:  0.100
Epoch  14 Batch   63/269 - Train Accuracy:  0.931, Validation Accuracy:  0.937, Loss:  0.099
Epoch  14 Batch   64/269 - Train Accuracy:  0.931, Validation Accuracy:  0.934, Loss:  0.094
Epoch  14 Batch   65/269 - Train Accuracy:  0.928, Validation Accuracy:  0.936, Loss:  0.094
Epoch  14 Batch   66/269 - Train Accuracy:  0.928, Validation Accuracy:  0.932, Loss:  0.099
Epoch  14 Batch   67/269 - Train Accuracy:  0.923, Validation Accuracy:  0.930, Loss:  0.102
Epoch  14 Batch   68/269 - Train Accuracy:  0.922, Validation Accuracy:  0.931, Loss:  0.110
Epoch  14 Batch   69/269 - Train Accuracy:  0.909, Validation Accuracy:  0.931, Loss:  0.121
Epoch  14 Batch   70/269 - Train Accuracy:  0.930, Validation Accuracy:  0.934, Loss:  0.102
Epoch  14 Batch   71/269 - Train Accuracy:  0.924, Validation Accuracy:  0.933, Loss:  0.103
Epoch  14 Batch   72/269 - Train Accuracy:  0.937, Validation Accuracy:  0.934, Loss:  0.104
Epoch  14 Batch   73/269 - Train Accuracy:  0.923, Validation Accuracy:  0.934, Loss:  0.107
Epoch  14 Batch   74/269 - Train Accuracy:  0.939, Validation Accuracy:  0.934, Loss:  0.097
Epoch  14 Batch   75/269 - Train Accuracy:  0.925, Validation Accuracy:  0.932, Loss:  0.103
Epoch  14 Batch   76/269 - Train Accuracy:  0.928, Validation Accuracy:  0.933, Loss:  0.096
Epoch  14 Batch   77/269 - Train Accuracy:  0.932, Validation Accuracy:  0.933, Loss:  0.095
Epoch  14 Batch   78/269 - Train Accuracy:  0.932, Validation Accuracy:  0.930, Loss:  0.098
Epoch  14 Batch   79/269 - Train Accuracy:  0.918, Validation Accuracy:  0.929, Loss:  0.094
Epoch  14 Batch   80/269 - Train Accuracy:  0.940, Validation Accuracy:  0.929, Loss:  0.096
Epoch  14 Batch   81/269 - Train Accuracy:  0.911, Validation Accuracy:  0.929, Loss:  0.107
Epoch  14 Batch   82/269 - Train Accuracy:  0.940, Validation Accuracy:  0.928, Loss:  0.094
Epoch  14 Batch   83/269 - Train Accuracy:  0.913, Validation Accuracy:  0.931, Loss:  0.106
Epoch  14 Batch   84/269 - Train Accuracy:  0.936, Validation Accuracy:  0.934, Loss:  0.100
Epoch  14 Batch   85/269 - Train Accuracy:  0.935, Validation Accuracy:  0.929, Loss:  0.093
Epoch  14 Batch   86/269 - Train Accuracy:  0.941, Validation Accuracy:  0.930, Loss:  0.093
Epoch  14 Batch   87/269 - Train Accuracy:  0.933, Validation Accuracy:  0.928, Loss:  0.104
Epoch  14 Batch   88/269 - Train Accuracy:  0.912, Validation Accuracy:  0.925, Loss:  0.102
Epoch  14 Batch   89/269 - Train Accuracy:  0.939, Validation Accuracy:  0.926, Loss:  0.095
Epoch  14 Batch   90/269 - Train Accuracy:  0.937, Validation Accuracy:  0.927, Loss:  0.102
Epoch  14 Batch   91/269 - Train Accuracy:  0.936, Validation Accuracy:  0.926, Loss:  0.091
Epoch  14 Batch   92/269 - Train Accuracy:  0.933, Validation Accuracy:  0.932, Loss:  0.094
Epoch  14 Batch   93/269 - Train Accuracy:  0.935, Validation Accuracy:  0.930, Loss:  0.092
Epoch  14 Batch   94/269 - Train Accuracy:  0.929, Validation Accuracy:  0.928, Loss:  0.105
Epoch  14 Batch   95/269 - Train Accuracy:  0.931, Validation Accuracy:  0.928, Loss:  0.096
Epoch  14 Batch   96/269 - Train Accuracy:  0.911, Validation Accuracy:  0.927, Loss:  0.099
Epoch  14 Batch   97/269 - Train Accuracy:  0.930, Validation Accuracy:  0.930, Loss:  0.094
Epoch  14 Batch   98/269 - Train Accuracy:  0.937, Validation Accuracy:  0.931, Loss:  0.093
Epoch  14 Batch   99/269 - Train Accuracy:  0.934, Validation Accuracy:  0.933, Loss:  0.096
Epoch  14 Batch  100/269 - Train Accuracy:  0.934, Validation Accuracy:  0.935, Loss:  0.098
Epoch  14 Batch  101/269 - Train Accuracy:  0.931, Validation Accuracy:  0.937, Loss:  0.111
Epoch  14 Batch  102/269 - Train Accuracy:  0.929, Validation Accuracy:  0.936, Loss:  0.097
Epoch  14 Batch  103/269 - Train Accuracy:  0.933, Validation Accuracy:  0.937, Loss:  0.108
Epoch  14 Batch  104/269 - Train Accuracy:  0.938, Validation Accuracy:  0.937, Loss:  0.097
Epoch  14 Batch  105/269 - Train Accuracy:  0.926, Validation Accuracy:  0.938, Loss:  0.100
Epoch  14 Batch  106/269 - Train Accuracy:  0.941, Validation Accuracy:  0.939, Loss:  0.086
Epoch  14 Batch  107/269 - Train Accuracy:  0.948, Validation Accuracy:  0.937, Loss:  0.097
Epoch  14 Batch  108/269 - Train Accuracy:  0.935, Validation Accuracy:  0.933, Loss:  0.095
Epoch  14 Batch  109/269 - Train Accuracy:  0.911, Validation Accuracy:  0.935, Loss:  0.103
Epoch  14 Batch  110/269 - Train Accuracy:  0.923, Validation Accuracy:  0.927, Loss:  0.093
Epoch  14 Batch  111/269 - Train Accuracy:  0.921, Validation Accuracy:  0.926, Loss:  0.109
Epoch  14 Batch  112/269 - Train Accuracy:  0.934, Validation Accuracy:  0.928, Loss:  0.103
Epoch  14 Batch  113/269 - Train Accuracy:  0.923, Validation Accuracy:  0.926, Loss:  0.094
Epoch  14 Batch  114/269 - Train Accuracy:  0.919, Validation Accuracy:  0.930, Loss:  0.101
Epoch  14 Batch  115/269 - Train Accuracy:  0.925, Validation Accuracy:  0.933, Loss:  0.097
Epoch  14 Batch  116/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.098
Epoch  14 Batch  117/269 - Train Accuracy:  0.932, Validation Accuracy:  0.934, Loss:  0.092
Epoch  14 Batch  118/269 - Train Accuracy:  0.938, Validation Accuracy:  0.937, Loss:  0.088
Epoch  14 Batch  119/269 - Train Accuracy:  0.919, Validation Accuracy:  0.936, Loss:  0.110
Epoch  14 Batch  120/269 - Train Accuracy:  0.922, Validation Accuracy:  0.935, Loss:  0.098
Epoch  14 Batch  121/269 - Train Accuracy:  0.933, Validation Accuracy:  0.937, Loss:  0.092
Epoch  14 Batch  122/269 - Train Accuracy:  0.942, Validation Accuracy:  0.938, Loss:  0.095
Epoch  14 Batch  123/269 - Train Accuracy:  0.925, Validation Accuracy:  0.935, Loss:  0.101
Epoch  14 Batch  124/269 - Train Accuracy:  0.930, Validation Accuracy:  0.938, Loss:  0.086
Epoch  14 Batch  125/269 - Train Accuracy:  0.942, Validation Accuracy:  0.939, Loss:  0.089
Epoch  14 Batch  126/269 - Train Accuracy:  0.925, Validation Accuracy:  0.940, Loss:  0.095
Epoch  14 Batch  127/269 - Train Accuracy:  0.925, Validation Accuracy:  0.940, Loss:  0.098
Epoch  14 Batch  128/269 - Train Accuracy:  0.933, Validation Accuracy:  0.940, Loss:  0.099
Epoch  14 Batch  129/269 - Train Accuracy:  0.920, Validation Accuracy:  0.938, Loss:  0.092
Epoch  14 Batch  130/269 - Train Accuracy:  0.928, Validation Accuracy:  0.934, Loss:  0.104
Epoch  14 Batch  131/269 - Train Accuracy:  0.915, Validation Accuracy:  0.933, Loss:  0.097
Epoch  14 Batch  132/269 - Train Accuracy:  0.912, Validation Accuracy:  0.934, Loss:  0.101
Epoch  14 Batch  133/269 - Train Accuracy:  0.939, Validation Accuracy:  0.934, Loss:  0.090
Epoch  14 Batch  134/269 - Train Accuracy:  0.939, Validation Accuracy:  0.932, Loss:  0.103
Epoch  14 Batch  135/269 - Train Accuracy:  0.931, Validation Accuracy:  0.937, Loss:  0.103
Epoch  14 Batch  136/269 - Train Accuracy:  0.915, Validation Accuracy:  0.936, Loss:  0.106
Epoch  14 Batch  137/269 - Train Accuracy:  0.923, Validation Accuracy:  0.937, Loss:  0.099
Epoch  14 Batch  138/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.089
Epoch  14 Batch  139/269 - Train Accuracy:  0.929, Validation Accuracy:  0.933, Loss:  0.091
Epoch  14 Batch  140/269 - Train Accuracy:  0.924, Validation Accuracy:  0.931, Loss:  0.105
Epoch  14 Batch  141/269 - Train Accuracy:  0.920, Validation Accuracy:  0.929, Loss:  0.103
Epoch  14 Batch  142/269 - Train Accuracy:  0.932, Validation Accuracy:  0.924, Loss:  0.095
Epoch  14 Batch  143/269 - Train Accuracy:  0.940, Validation Accuracy:  0.925, Loss:  0.091
Epoch  14 Batch  144/269 - Train Accuracy:  0.932, Validation Accuracy:  0.927, Loss:  0.085
Epoch  14 Batch  145/269 - Train Accuracy:  0.938, Validation Accuracy:  0.928, Loss:  0.092
Epoch  14 Batch  146/269 - Train Accuracy:  0.923, Validation Accuracy:  0.930, Loss:  0.097
Epoch  14 Batch  147/269 - Train Accuracy:  0.933, Validation Accuracy:  0.931, Loss:  0.097
Epoch  14 Batch  148/269 - Train Accuracy:  0.931, Validation Accuracy:  0.935, Loss:  0.097
Epoch  14 Batch  149/269 - Train Accuracy:  0.915, Validation Accuracy:  0.936, Loss:  0.113
Epoch  14 Batch  150/269 - Train Accuracy:  0.922, Validation Accuracy:  0.934, Loss:  0.099
Epoch  14 Batch  151/269 - Train Accuracy:  0.934, Validation Accuracy:  0.937, Loss:  0.094
Epoch  14 Batch  152/269 - Train Accuracy:  0.934, Validation Accuracy:  0.938, Loss:  0.098
Epoch  14 Batch  153/269 - Train Accuracy:  0.938, Validation Accuracy:  0.935, Loss:  0.091
Epoch  14 Batch  154/269 - Train Accuracy:  0.943, Validation Accuracy:  0.932, Loss:  0.095
Epoch  14 Batch  155/269 - Train Accuracy:  0.925, Validation Accuracy:  0.932, Loss:  0.094
Epoch  14 Batch  156/269 - Train Accuracy:  0.938, Validation Accuracy:  0.933, Loss:  0.100
Epoch  14 Batch  157/269 - Train Accuracy:  0.924, Validation Accuracy:  0.937, Loss:  0.089
Epoch  14 Batch  158/269 - Train Accuracy:  0.926, Validation Accuracy:  0.936, Loss:  0.097
Epoch  14 Batch  159/269 - Train Accuracy:  0.933, Validation Accuracy:  0.939, Loss:  0.103
Epoch  14 Batch  160/269 - Train Accuracy:  0.925, Validation Accuracy:  0.937, Loss:  0.102
Epoch  14 Batch  161/269 - Train Accuracy:  0.937, Validation Accuracy:  0.938, Loss:  0.099
Epoch  14 Batch  162/269 - Train Accuracy:  0.938, Validation Accuracy:  0.938, Loss:  0.090
Epoch  14 Batch  163/269 - Train Accuracy:  0.936, Validation Accuracy:  0.936, Loss:  0.091
Epoch  14 Batch  164/269 - Train Accuracy:  0.948, Validation Accuracy:  0.936, Loss:  0.092
Epoch  14 Batch  165/269 - Train Accuracy:  0.931, Validation Accuracy:  0.938, Loss:  0.089
Epoch  14 Batch  166/269 - Train Accuracy:  0.934, Validation Accuracy:  0.934, Loss:  0.091
Epoch  14 Batch  167/269 - Train Accuracy:  0.922, Validation Accuracy:  0.933, Loss:  0.091
Epoch  14 Batch  168/269 - Train Accuracy:  0.940, Validation Accuracy:  0.933, Loss:  0.096
Epoch  14 Batch  169/269 - Train Accuracy:  0.919, Validation Accuracy:  0.938, Loss:  0.095
Epoch  14 Batch  170/269 - Train Accuracy:  0.940, Validation Accuracy:  0.937, Loss:  0.092
Epoch  14 Batch  171/269 - Train Accuracy:  0.950, Validation Accuracy:  0.938, Loss:  0.096
Epoch  14 Batch  172/269 - Train Accuracy:  0.932, Validation Accuracy:  0.939, Loss:  0.099
Epoch  14 Batch  173/269 - Train Accuracy:  0.940, Validation Accuracy:  0.937, Loss:  0.088
Epoch  14 Batch  174/269 - Train Accuracy:  0.943, Validation Accuracy:  0.937, Loss:  0.093
Epoch  14 Batch  175/269 - Train Accuracy:  0.927, Validation Accuracy:  0.939, Loss:  0.108
Epoch  14 Batch  176/269 - Train Accuracy:  0.915, Validation Accuracy:  0.935, Loss:  0.103
Epoch  14 Batch  177/269 - Train Accuracy:  0.933, Validation Accuracy:  0.937, Loss:  0.089
Epoch  14 Batch  178/269 - Train Accuracy:  0.940, Validation Accuracy:  0.938, Loss:  0.092
Epoch  14 Batch  179/269 - Train Accuracy:  0.919, Validation Accuracy:  0.937, Loss:  0.097
Epoch  14 Batch  180/269 - Train Accuracy:  0.936, Validation Accuracy:  0.941, Loss:  0.090
Epoch  14 Batch  181/269 - Train Accuracy:  0.927, Validation Accuracy:  0.940, Loss:  0.102
Epoch  14 Batch  182/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.096
Epoch  14 Batch  183/269 - Train Accuracy:  0.948, Validation Accuracy:  0.939, Loss:  0.079
Epoch  14 Batch  184/269 - Train Accuracy:  0.930, Validation Accuracy:  0.938, Loss:  0.088
Epoch  14 Batch  185/269 - Train Accuracy:  0.945, Validation Accuracy:  0.938, Loss:  0.101
Epoch  14 Batch  186/269 - Train Accuracy:  0.930, Validation Accuracy:  0.939, Loss:  0.091
Epoch  14 Batch  187/269 - Train Accuracy:  0.931, Validation Accuracy:  0.943, Loss:  0.088
Epoch  14 Batch  188/269 - Train Accuracy:  0.943, Validation Accuracy:  0.941, Loss:  0.088
Epoch  14 Batch  189/269 - Train Accuracy:  0.940, Validation Accuracy:  0.940, Loss:  0.091
Epoch  14 Batch  190/269 - Train Accuracy:  0.926, Validation Accuracy:  0.938, Loss:  0.088
Epoch  14 Batch  191/269 - Train Accuracy:  0.921, Validation Accuracy:  0.937, Loss:  0.091
Epoch  14 Batch  192/269 - Train Accuracy:  0.927, Validation Accuracy:  0.941, Loss:  0.098
Epoch  14 Batch  193/269 - Train Accuracy:  0.928, Validation Accuracy:  0.942, Loss:  0.093
Epoch  14 Batch  194/269 - Train Accuracy:  0.919, Validation Accuracy:  0.939, Loss:  0.097
Epoch  14 Batch  195/269 - Train Accuracy:  0.934, Validation Accuracy:  0.937, Loss:  0.087
Epoch  14 Batch  196/269 - Train Accuracy:  0.932, Validation Accuracy:  0.937, Loss:  0.088
Epoch  14 Batch  197/269 - Train Accuracy:  0.924, Validation Accuracy:  0.940, Loss:  0.095
Epoch  14 Batch  198/269 - Train Accuracy:  0.928, Validation Accuracy:  0.937, Loss:  0.102
Epoch  14 Batch  199/269 - Train Accuracy:  0.920, Validation Accuracy:  0.938, Loss:  0.102
Epoch  14 Batch  200/269 - Train Accuracy:  0.928, Validation Accuracy:  0.941, Loss:  0.098
Epoch  14 Batch  201/269 - Train Accuracy:  0.937, Validation Accuracy:  0.940, Loss:  0.089
Epoch  14 Batch  202/269 - Train Accuracy:  0.936, Validation Accuracy:  0.942, Loss:  0.090
Epoch  14 Batch  203/269 - Train Accuracy:  0.929, Validation Accuracy:  0.943, Loss:  0.105
Epoch  14 Batch  204/269 - Train Accuracy:  0.938, Validation Accuracy:  0.944, Loss:  0.096
Epoch  14 Batch  205/269 - Train Accuracy:  0.938, Validation Accuracy:  0.944, Loss:  0.092
Epoch  14 Batch  206/269 - Train Accuracy:  0.910, Validation Accuracy:  0.944, Loss:  0.107
Epoch  14 Batch  207/269 - Train Accuracy:  0.927, Validation Accuracy:  0.944, Loss:  0.091
Epoch  14 Batch  208/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.100
Epoch  14 Batch  209/269 - Train Accuracy:  0.952, Validation Accuracy:  0.944, Loss:  0.086
Epoch  14 Batch  210/269 - Train Accuracy:  0.938, Validation Accuracy:  0.940, Loss:  0.090
Epoch  14 Batch  211/269 - Train Accuracy:  0.929, Validation Accuracy:  0.941, Loss:  0.096
Epoch  14 Batch  212/269 - Train Accuracy:  0.924, Validation Accuracy:  0.941, Loss:  0.093
Epoch  14 Batch  213/269 - Train Accuracy:  0.922, Validation Accuracy:  0.938, Loss:  0.084
Epoch  14 Batch  214/269 - Train Accuracy:  0.923, Validation Accuracy:  0.940, Loss:  0.098
Epoch  14 Batch  215/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.089
Epoch  14 Batch  216/269 - Train Accuracy:  0.919, Validation Accuracy:  0.940, Loss:  0.112
Epoch  14 Batch  217/269 - Train Accuracy:  0.923, Validation Accuracy:  0.941, Loss:  0.097
Epoch  14 Batch  218/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.091
Epoch  14 Batch  219/269 - Train Accuracy:  0.932, Validation Accuracy:  0.942, Loss:  0.100
Epoch  14 Batch  220/269 - Train Accuracy:  0.932, Validation Accuracy:  0.942, Loss:  0.090
Epoch  14 Batch  221/269 - Train Accuracy:  0.934, Validation Accuracy:  0.942, Loss:  0.093
Epoch  14 Batch  222/269 - Train Accuracy:  0.952, Validation Accuracy:  0.941, Loss:  0.085
Epoch  14 Batch  223/269 - Train Accuracy:  0.936, Validation Accuracy:  0.939, Loss:  0.087
Epoch  14 Batch  224/269 - Train Accuracy:  0.932, Validation Accuracy:  0.938, Loss:  0.104
Epoch  14 Batch  225/269 - Train Accuracy:  0.924, Validation Accuracy:  0.939, Loss:  0.089
Epoch  14 Batch  226/269 - Train Accuracy:  0.935, Validation Accuracy:  0.940, Loss:  0.097
Epoch  14 Batch  227/269 - Train Accuracy:  0.946, Validation Accuracy:  0.939, Loss:  0.101
Epoch  14 Batch  228/269 - Train Accuracy:  0.941, Validation Accuracy:  0.937, Loss:  0.094
Epoch  14 Batch  229/269 - Train Accuracy:  0.935, Validation Accuracy:  0.937, Loss:  0.096
Epoch  14 Batch  230/269 - Train Accuracy:  0.943, Validation Accuracy:  0.934, Loss:  0.088
Epoch  14 Batch  231/269 - Train Accuracy:  0.920, Validation Accuracy:  0.934, Loss:  0.095
Epoch  14 Batch  232/269 - Train Accuracy:  0.934, Validation Accuracy:  0.939, Loss:  0.088
Epoch  14 Batch  233/269 - Train Accuracy:  0.939, Validation Accuracy:  0.940, Loss:  0.098
Epoch  14 Batch  234/269 - Train Accuracy:  0.933, Validation Accuracy:  0.941, Loss:  0.091
Epoch  14 Batch  235/269 - Train Accuracy:  0.955, Validation Accuracy:  0.942, Loss:  0.085
Epoch  14 Batch  236/269 - Train Accuracy:  0.924, Validation Accuracy:  0.944, Loss:  0.085
Epoch  14 Batch  237/269 - Train Accuracy:  0.950, Validation Accuracy:  0.941, Loss:  0.089
Epoch  14 Batch  238/269 - Train Accuracy:  0.940, Validation Accuracy:  0.940, Loss:  0.094
Epoch  14 Batch  239/269 - Train Accuracy:  0.938, Validation Accuracy:  0.938, Loss:  0.088
Epoch  14 Batch  240/269 - Train Accuracy:  0.936, Validation Accuracy:  0.937, Loss:  0.091
Epoch  14 Batch  241/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.105
Epoch  14 Batch  242/269 - Train Accuracy:  0.936, Validation Accuracy:  0.937, Loss:  0.090
Epoch  14 Batch  243/269 - Train Accuracy:  0.937, Validation Accuracy:  0.935, Loss:  0.087
Epoch  14 Batch  244/269 - Train Accuracy:  0.919, Validation Accuracy:  0.937, Loss:  0.093
Epoch  14 Batch  245/269 - Train Accuracy:  0.916, Validation Accuracy:  0.941, Loss:  0.094
Epoch  14 Batch  246/269 - Train Accuracy:  0.929, Validation Accuracy:  0.943, Loss:  0.094
Epoch  14 Batch  247/269 - Train Accuracy:  0.935, Validation Accuracy:  0.942, Loss:  0.091
Epoch  14 Batch  248/269 - Train Accuracy:  0.940, Validation Accuracy:  0.941, Loss:  0.086
Epoch  14 Batch  249/269 - Train Accuracy:  0.933, Validation Accuracy:  0.941, Loss:  0.084
Epoch  14 Batch  250/269 - Train Accuracy:  0.939, Validation Accuracy:  0.940, Loss:  0.094
Epoch  14 Batch  251/269 - Train Accuracy:  0.946, Validation Accuracy:  0.940, Loss:  0.085
Epoch  14 Batch  252/269 - Train Accuracy:  0.942, Validation Accuracy:  0.941, Loss:  0.080
Epoch  14 Batch  253/269 - Train Accuracy:  0.920, Validation Accuracy:  0.939, Loss:  0.093
Epoch  14 Batch  254/269 - Train Accuracy:  0.941, Validation Accuracy:  0.941, Loss:  0.089
Epoch  14 Batch  255/269 - Train Accuracy:  0.925, Validation Accuracy:  0.941, Loss:  0.093
Epoch  14 Batch  256/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.092
Epoch  14 Batch  257/269 - Train Accuracy:  0.929, Validation Accuracy:  0.941, Loss:  0.095
Epoch  14 Batch  258/269 - Train Accuracy:  0.927, Validation Accuracy:  0.942, Loss:  0.093
Epoch  14 Batch  259/269 - Train Accuracy:  0.938, Validation Accuracy:  0.941, Loss:  0.090
Epoch  14 Batch  260/269 - Train Accuracy:  0.930, Validation Accuracy:  0.945, Loss:  0.096
Epoch  14 Batch  261/269 - Train Accuracy:  0.929, Validation Accuracy:  0.945, Loss:  0.088
Epoch  14 Batch  262/269 - Train Accuracy:  0.934, Validation Accuracy:  0.943, Loss:  0.094
Epoch  14 Batch  263/269 - Train Accuracy:  0.931, Validation Accuracy:  0.942, Loss:  0.090
Epoch  14 Batch  264/269 - Train Accuracy:  0.901, Validation Accuracy:  0.945, Loss:  0.097
Epoch  14 Batch  265/269 - Train Accuracy:  0.933, Validation Accuracy:  0.946, Loss:  0.086
Epoch  14 Batch  266/269 - Train Accuracy:  0.931, Validation Accuracy:  0.945, Loss:  0.088
Epoch  14 Batch  267/269 - Train Accuracy:  0.941, Validation Accuracy:  0.946, Loss:  0.100
Epoch  15 Batch    0/269 - Train Accuracy:  0.949, Validation Accuracy:  0.943, Loss:  0.103
Epoch  15 Batch    1/269 - Train Accuracy:  0.928, Validation Accuracy:  0.944, Loss:  0.093
Epoch  15 Batch    2/269 - Train Accuracy:  0.929, Validation Accuracy:  0.944, Loss:  0.091
Epoch  15 Batch    3/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.091
Epoch  15 Batch    4/269 - Train Accuracy:  0.923, Validation Accuracy:  0.941, Loss:  0.090
Epoch  15 Batch    5/269 - Train Accuracy:  0.930, Validation Accuracy:  0.941, Loss:  0.093
Epoch  15 Batch    6/269 - Train Accuracy:  0.941, Validation Accuracy:  0.941, Loss:  0.082
Epoch  15 Batch    7/269 - Train Accuracy:  0.939, Validation Accuracy:  0.939, Loss:  0.089
Epoch  15 Batch    8/269 - Train Accuracy:  0.943, Validation Accuracy:  0.937, Loss:  0.100
Epoch  15 Batch    9/269 - Train Accuracy:  0.938, Validation Accuracy:  0.938, Loss:  0.089
Epoch  15 Batch   10/269 - Train Accuracy:  0.939, Validation Accuracy:  0.940, Loss:  0.079
Epoch  15 Batch   11/269 - Train Accuracy:  0.932, Validation Accuracy:  0.943, Loss:  0.096
Epoch  15 Batch   12/269 - Train Accuracy:  0.925, Validation Accuracy:  0.944, Loss:  0.102
Epoch  15 Batch   13/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.081
Epoch  15 Batch   14/269 - Train Accuracy:  0.939, Validation Accuracy:  0.946, Loss:  0.086
Epoch  15 Batch   15/269 - Train Accuracy:  0.945, Validation Accuracy:  0.945, Loss:  0.077
Epoch  15 Batch   16/269 - Train Accuracy:  0.924, Validation Accuracy:  0.943, Loss:  0.094
Epoch  15 Batch   17/269 - Train Accuracy:  0.942, Validation Accuracy:  0.943, Loss:  0.079
Epoch  15 Batch   18/269 - Train Accuracy:  0.918, Validation Accuracy:  0.940, Loss:  0.093
Epoch  15 Batch   19/269 - Train Accuracy:  0.943, Validation Accuracy:  0.940, Loss:  0.078
Epoch  15 Batch   20/269 - Train Accuracy:  0.940, Validation Accuracy:  0.939, Loss:  0.088
Epoch  15 Batch   21/269 - Train Accuracy:  0.923, Validation Accuracy:  0.935, Loss:  0.101
Epoch  15 Batch   22/269 - Train Accuracy:  0.947, Validation Accuracy:  0.933, Loss:  0.088
Epoch  15 Batch   23/269 - Train Accuracy:  0.932, Validation Accuracy:  0.931, Loss:  0.098
Epoch  15 Batch   24/269 - Train Accuracy:  0.931, Validation Accuracy:  0.935, Loss:  0.092
Epoch  15 Batch   25/269 - Train Accuracy:  0.934, Validation Accuracy:  0.936, Loss:  0.094
Epoch  15 Batch   26/269 - Train Accuracy:  0.932, Validation Accuracy:  0.937, Loss:  0.082
Epoch  15 Batch   27/269 - Train Accuracy:  0.921, Validation Accuracy:  0.935, Loss:  0.086
Epoch  15 Batch   28/269 - Train Accuracy:  0.914, Validation Accuracy:  0.937, Loss:  0.097
Epoch  15 Batch   29/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.099
Epoch  15 Batch   30/269 - Train Accuracy:  0.930, Validation Accuracy:  0.940, Loss:  0.083
Epoch  15 Batch   31/269 - Train Accuracy:  0.937, Validation Accuracy:  0.939, Loss:  0.086
Epoch  15 Batch   32/269 - Train Accuracy:  0.935, Validation Accuracy:  0.939, Loss:  0.083
Epoch  15 Batch   33/269 - Train Accuracy:  0.935, Validation Accuracy:  0.941, Loss:  0.085
Epoch  15 Batch   34/269 - Train Accuracy:  0.931, Validation Accuracy:  0.940, Loss:  0.088
Epoch  15 Batch   35/269 - Train Accuracy:  0.936, Validation Accuracy:  0.941, Loss:  0.100
Epoch  15 Batch   36/269 - Train Accuracy:  0.938, Validation Accuracy:  0.938, Loss:  0.089
Epoch  15 Batch   37/269 - Train Accuracy:  0.932, Validation Accuracy:  0.938, Loss:  0.095
Epoch  15 Batch   38/269 - Train Accuracy:  0.936, Validation Accuracy:  0.938, Loss:  0.088
Epoch  15 Batch   39/269 - Train Accuracy:  0.933, Validation Accuracy:  0.939, Loss:  0.083
Epoch  15 Batch   40/269 - Train Accuracy:  0.929, Validation Accuracy:  0.938, Loss:  0.083
Epoch  15 Batch   41/269 - Train Accuracy:  0.929, Validation Accuracy:  0.938, Loss:  0.100
Epoch  15 Batch   42/269 - Train Accuracy:  0.947, Validation Accuracy:  0.937, Loss:  0.082
Epoch  15 Batch   43/269 - Train Accuracy:  0.936, Validation Accuracy:  0.938, Loss:  0.091
Epoch  15 Batch   44/269 - Train Accuracy:  0.950, Validation Accuracy:  0.941, Loss:  0.090
Epoch  15 Batch   45/269 - Train Accuracy:  0.932, Validation Accuracy:  0.940, Loss:  0.091
Epoch  15 Batch   46/269 - Train Accuracy:  0.938, Validation Accuracy:  0.942, Loss:  0.086
Epoch  15 Batch   47/269 - Train Accuracy:  0.943, Validation Accuracy:  0.942, Loss:  0.078
Epoch  15 Batch   48/269 - Train Accuracy:  0.947, Validation Accuracy:  0.945, Loss:  0.083
Epoch  15 Batch   49/269 - Train Accuracy:  0.937, Validation Accuracy:  0.945, Loss:  0.085
Epoch  15 Batch   50/269 - Train Accuracy:  0.917, Validation Accuracy:  0.945, Loss:  0.100
Epoch  15 Batch   51/269 - Train Accuracy:  0.942, Validation Accuracy:  0.943, Loss:  0.086
Epoch  15 Batch   52/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.076
Epoch  15 Batch   53/269 - Train Accuracy:  0.918, Validation Accuracy:  0.937, Loss:  0.095
Epoch  15 Batch   54/269 - Train Accuracy:  0.938, Validation Accuracy:  0.932, Loss:  0.090
Epoch  15 Batch   55/269 - Train Accuracy:  0.928, Validation Accuracy:  0.931, Loss:  0.085
Epoch  15 Batch   56/269 - Train Accuracy:  0.935, Validation Accuracy:  0.933, Loss:  0.096
Epoch  15 Batch   57/269 - Train Accuracy:  0.928, Validation Accuracy:  0.934, Loss:  0.093
Epoch  15 Batch   58/269 - Train Accuracy:  0.942, Validation Accuracy:  0.936, Loss:  0.093
Epoch  15 Batch   59/269 - Train Accuracy:  0.950, Validation Accuracy:  0.940, Loss:  0.076
Epoch  15 Batch   60/269 - Train Accuracy:  0.935, Validation Accuracy:  0.942, Loss:  0.081
Epoch  15 Batch   61/269 - Train Accuracy:  0.943, Validation Accuracy:  0.944, Loss:  0.081
Epoch  15 Batch   62/269 - Train Accuracy:  0.925, Validation Accuracy:  0.944, Loss:  0.093
Epoch  15 Batch   63/269 - Train Accuracy:  0.931, Validation Accuracy:  0.944, Loss:  0.096
Epoch  15 Batch   64/269 - Train Accuracy:  0.943, Validation Accuracy:  0.942, Loss:  0.079
Epoch  15 Batch   65/269 - Train Accuracy:  0.936, Validation Accuracy:  0.942, Loss:  0.086
Epoch  15 Batch   66/269 - Train Accuracy:  0.938, Validation Accuracy:  0.945, Loss:  0.089
Epoch  15 Batch   67/269 - Train Accuracy:  0.927, Validation Accuracy:  0.944, Loss:  0.094
Epoch  15 Batch   68/269 - Train Accuracy:  0.926, Validation Accuracy:  0.942, Loss:  0.096
Epoch  15 Batch   69/269 - Train Accuracy:  0.914, Validation Accuracy:  0.941, Loss:  0.103
Epoch  15 Batch   70/269 - Train Accuracy:  0.935, Validation Accuracy:  0.945, Loss:  0.092
Epoch  15 Batch   71/269 - Train Accuracy:  0.933, Validation Accuracy:  0.946, Loss:  0.106
Epoch  15 Batch   72/269 - Train Accuracy:  0.941, Validation Accuracy:  0.946, Loss:  0.090
Epoch  15 Batch   73/269 - Train Accuracy:  0.930, Validation Accuracy:  0.945, Loss:  0.100
Epoch  15 Batch   74/269 - Train Accuracy:  0.942, Validation Accuracy:  0.947, Loss:  0.089
Epoch  15 Batch   75/269 - Train Accuracy:  0.931, Validation Accuracy:  0.944, Loss:  0.090
Epoch  15 Batch   76/269 - Train Accuracy:  0.939, Validation Accuracy:  0.942, Loss:  0.083
Epoch  15 Batch   77/269 - Train Accuracy:  0.933, Validation Accuracy:  0.941, Loss:  0.087
Epoch  15 Batch   78/269 - Train Accuracy:  0.935, Validation Accuracy:  0.942, Loss:  0.087
Epoch  15 Batch   79/269 - Train Accuracy:  0.922, Validation Accuracy:  0.939, Loss:  0.088
Epoch  15 Batch   80/269 - Train Accuracy:  0.941, Validation Accuracy:  0.943, Loss:  0.089
Epoch  15 Batch   81/269 - Train Accuracy:  0.923, Validation Accuracy:  0.941, Loss:  0.096
Epoch  15 Batch   82/269 - Train Accuracy:  0.946, Validation Accuracy:  0.941, Loss:  0.080
Epoch  15 Batch   83/269 - Train Accuracy:  0.920, Validation Accuracy:  0.937, Loss:  0.102
Epoch  15 Batch   84/269 - Train Accuracy:  0.943, Validation Accuracy:  0.940, Loss:  0.088
Epoch  15 Batch   85/269 - Train Accuracy:  0.936, Validation Accuracy:  0.940, Loss:  0.083
Epoch  15 Batch   86/269 - Train Accuracy:  0.947, Validation Accuracy:  0.939, Loss:  0.082
Epoch  15 Batch   87/269 - Train Accuracy:  0.936, Validation Accuracy:  0.934, Loss:  0.088
Epoch  15 Batch   88/269 - Train Accuracy:  0.910, Validation Accuracy:  0.934, Loss:  0.093
Epoch  15 Batch   89/269 - Train Accuracy:  0.948, Validation Accuracy:  0.934, Loss:  0.086
Epoch  15 Batch   90/269 - Train Accuracy:  0.936, Validation Accuracy:  0.937, Loss:  0.091
Epoch  15 Batch   91/269 - Train Accuracy:  0.942, Validation Accuracy:  0.938, Loss:  0.085
Epoch  15 Batch   92/269 - Train Accuracy:  0.949, Validation Accuracy:  0.939, Loss:  0.085
Epoch  15 Batch   93/269 - Train Accuracy:  0.945, Validation Accuracy:  0.940, Loss:  0.084
Epoch  15 Batch   94/269 - Train Accuracy:  0.937, Validation Accuracy:  0.938, Loss:  0.101
Epoch  15 Batch   95/269 - Train Accuracy:  0.940, Validation Accuracy:  0.936, Loss:  0.089
Epoch  15 Batch   96/269 - Train Accuracy:  0.921, Validation Accuracy:  0.933, Loss:  0.087
Epoch  15 Batch   97/269 - Train Accuracy:  0.934, Validation Accuracy:  0.934, Loss:  0.089
Epoch  15 Batch   98/269 - Train Accuracy:  0.944, Validation Accuracy:  0.937, Loss:  0.086
Epoch  15 Batch   99/269 - Train Accuracy:  0.936, Validation Accuracy:  0.937, Loss:  0.086
Epoch  15 Batch  100/269 - Train Accuracy:  0.946, Validation Accuracy:  0.935, Loss:  0.088
Epoch  15 Batch  101/269 - Train Accuracy:  0.926, Validation Accuracy:  0.937, Loss:  0.100
Epoch  15 Batch  102/269 - Train Accuracy:  0.940, Validation Accuracy:  0.940, Loss:  0.084
Epoch  15 Batch  103/269 - Train Accuracy:  0.940, Validation Accuracy:  0.939, Loss:  0.094
Epoch  15 Batch  104/269 - Train Accuracy:  0.948, Validation Accuracy:  0.939, Loss:  0.086
Epoch  15 Batch  105/269 - Train Accuracy:  0.933, Validation Accuracy:  0.939, Loss:  0.083
Epoch  15 Batch  106/269 - Train Accuracy:  0.944, Validation Accuracy:  0.938, Loss:  0.080
Epoch  15 Batch  107/269 - Train Accuracy:  0.959, Validation Accuracy:  0.938, Loss:  0.091
Epoch  15 Batch  108/269 - Train Accuracy:  0.937, Validation Accuracy:  0.937, Loss:  0.084
Epoch  15 Batch  109/269 - Train Accuracy:  0.918, Validation Accuracy:  0.936, Loss:  0.093
Epoch  15 Batch  110/269 - Train Accuracy:  0.928, Validation Accuracy:  0.933, Loss:  0.085
Epoch  15 Batch  111/269 - Train Accuracy:  0.930, Validation Accuracy:  0.937, Loss:  0.095
Epoch  15 Batch  112/269 - Train Accuracy:  0.932, Validation Accuracy:  0.937, Loss:  0.091
Epoch  15 Batch  113/269 - Train Accuracy:  0.929, Validation Accuracy:  0.935, Loss:  0.090
Epoch  15 Batch  114/269 - Train Accuracy:  0.922, Validation Accuracy:  0.935, Loss:  0.097
Epoch  15 Batch  115/269 - Train Accuracy:  0.929, Validation Accuracy:  0.936, Loss:  0.090
Epoch  15 Batch  116/269 - Train Accuracy:  0.944, Validation Accuracy:  0.938, Loss:  0.092
Epoch  15 Batch  117/269 - Train Accuracy:  0.940, Validation Accuracy:  0.941, Loss:  0.079
Epoch  15 Batch  118/269 - Train Accuracy:  0.943, Validation Accuracy:  0.937, Loss:  0.083
Epoch  15 Batch  119/269 - Train Accuracy:  0.926, Validation Accuracy:  0.939, Loss:  0.092
Epoch  15 Batch  120/269 - Train Accuracy:  0.936, Validation Accuracy:  0.939, Loss:  0.090
Epoch  15 Batch  121/269 - Train Accuracy:  0.943, Validation Accuracy:  0.938, Loss:  0.076
Epoch  15 Batch  122/269 - Train Accuracy:  0.941, Validation Accuracy:  0.937, Loss:  0.083
Epoch  15 Batch  123/269 - Train Accuracy:  0.937, Validation Accuracy:  0.936, Loss:  0.092
Epoch  15 Batch  124/269 - Train Accuracy:  0.931, Validation Accuracy:  0.937, Loss:  0.076
Epoch  15 Batch  125/269 - Train Accuracy:  0.948, Validation Accuracy:  0.937, Loss:  0.084
Epoch  15 Batch  126/269 - Train Accuracy:  0.922, Validation Accuracy:  0.940, Loss:  0.088
Epoch  15 Batch  127/269 - Train Accuracy:  0.927, Validation Accuracy:  0.937, Loss:  0.087
Epoch  15 Batch  128/269 - Train Accuracy:  0.935, Validation Accuracy:  0.935, Loss:  0.091
Epoch  15 Batch  129/269 - Train Accuracy:  0.922, Validation Accuracy:  0.932, Loss:  0.089
Epoch  15 Batch  130/269 - Train Accuracy:  0.938, Validation Accuracy:  0.931, Loss:  0.091
Epoch  15 Batch  131/269 - Train Accuracy:  0.924, Validation Accuracy:  0.931, Loss:  0.087
Epoch  15 Batch  132/269 - Train Accuracy:  0.924, Validation Accuracy:  0.932, Loss:  0.095
Epoch  15 Batch  133/269 - Train Accuracy:  0.941, Validation Accuracy:  0.931, Loss:  0.081
Epoch  15 Batch  134/269 - Train Accuracy:  0.936, Validation Accuracy:  0.935, Loss:  0.087
Epoch  15 Batch  135/269 - Train Accuracy:  0.941, Validation Accuracy:  0.938, Loss:  0.083
Epoch  15 Batch  136/269 - Train Accuracy:  0.925, Validation Accuracy:  0.941, Loss:  0.101
Epoch  15 Batch  137/269 - Train Accuracy:  0.929, Validation Accuracy:  0.943, Loss:  0.093
Epoch  15 Batch  138/269 - Train Accuracy:  0.935, Validation Accuracy:  0.943, Loss:  0.078
Epoch  15 Batch  139/269 - Train Accuracy:  0.933, Validation Accuracy:  0.944, Loss:  0.079
Epoch  15 Batch  140/269 - Train Accuracy:  0.932, Validation Accuracy:  0.938, Loss:  0.089
Epoch  15 Batch  141/269 - Train Accuracy:  0.928, Validation Accuracy:  0.938, Loss:  0.096
Epoch  15 Batch  142/269 - Train Accuracy:  0.937, Validation Accuracy:  0.941, Loss:  0.089
Epoch  15 Batch  143/269 - Train Accuracy:  0.946, Validation Accuracy:  0.945, Loss:  0.080
Epoch  15 Batch  144/269 - Train Accuracy:  0.945, Validation Accuracy:  0.947, Loss:  0.076
Epoch  15 Batch  145/269 - Train Accuracy:  0.948, Validation Accuracy:  0.943, Loss:  0.079
Epoch  15 Batch  146/269 - Train Accuracy:  0.927, Validation Accuracy:  0.944, Loss:  0.090
Epoch  15 Batch  147/269 - Train Accuracy:  0.938, Validation Accuracy:  0.944, Loss:  0.093
Epoch  15 Batch  148/269 - Train Accuracy:  0.936, Validation Accuracy:  0.942, Loss:  0.089
Epoch  15 Batch  149/269 - Train Accuracy:  0.921, Validation Accuracy:  0.942, Loss:  0.098
Epoch  15 Batch  150/269 - Train Accuracy:  0.926, Validation Accuracy:  0.944, Loss:  0.089
Epoch  15 Batch  151/269 - Train Accuracy:  0.941, Validation Accuracy:  0.941, Loss:  0.083
Epoch  15 Batch  152/269 - Train Accuracy:  0.934, Validation Accuracy:  0.939, Loss:  0.089
Epoch  15 Batch  153/269 - Train Accuracy:  0.947, Validation Accuracy:  0.938, Loss:  0.081
Epoch  15 Batch  154/269 - Train Accuracy:  0.942, Validation Accuracy:  0.941, Loss:  0.085
Epoch  15 Batch  155/269 - Train Accuracy:  0.933, Validation Accuracy:  0.942, Loss:  0.085
Epoch  15 Batch  156/269 - Train Accuracy:  0.942, Validation Accuracy:  0.941, Loss:  0.086
Epoch  15 Batch  157/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.076
Epoch  15 Batch  158/269 - Train Accuracy:  0.935, Validation Accuracy:  0.944, Loss:  0.086
Epoch  15 Batch  159/269 - Train Accuracy:  0.939, Validation Accuracy:  0.945, Loss:  0.089
Epoch  15 Batch  160/269 - Train Accuracy:  0.932, Validation Accuracy:  0.946, Loss:  0.084
Epoch  15 Batch  161/269 - Train Accuracy:  0.937, Validation Accuracy:  0.946, Loss:  0.083
Epoch  15 Batch  162/269 - Train Accuracy:  0.937, Validation Accuracy:  0.946, Loss:  0.085
Epoch  15 Batch  163/269 - Train Accuracy:  0.944, Validation Accuracy:  0.947, Loss:  0.083
Epoch  15 Batch  164/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.083
Epoch  15 Batch  165/269 - Train Accuracy:  0.937, Validation Accuracy:  0.948, Loss:  0.082
Epoch  15 Batch  166/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.086
Epoch  15 Batch  167/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.084
Epoch  15 Batch  168/269 - Train Accuracy:  0.943, Validation Accuracy:  0.947, Loss:  0.084
Epoch  15 Batch  169/269 - Train Accuracy:  0.927, Validation Accuracy:  0.946, Loss:  0.085
Epoch  15 Batch  170/269 - Train Accuracy:  0.937, Validation Accuracy:  0.946, Loss:  0.082
Epoch  15 Batch  171/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.089
Epoch  15 Batch  172/269 - Train Accuracy:  0.931, Validation Accuracy:  0.943, Loss:  0.093
Epoch  15 Batch  173/269 - Train Accuracy:  0.944, Validation Accuracy:  0.942, Loss:  0.078
Epoch  15 Batch  174/269 - Train Accuracy:  0.941, Validation Accuracy:  0.945, Loss:  0.083
Epoch  15 Batch  175/269 - Train Accuracy:  0.933, Validation Accuracy:  0.943, Loss:  0.102
Epoch  15 Batch  176/269 - Train Accuracy:  0.912, Validation Accuracy:  0.943, Loss:  0.099
Epoch  15 Batch  177/269 - Train Accuracy:  0.944, Validation Accuracy:  0.944, Loss:  0.084
Epoch  15 Batch  178/269 - Train Accuracy:  0.946, Validation Accuracy:  0.943, Loss:  0.084
Epoch  15 Batch  179/269 - Train Accuracy:  0.927, Validation Accuracy:  0.944, Loss:  0.086
Epoch  15 Batch  180/269 - Train Accuracy:  0.935, Validation Accuracy:  0.944, Loss:  0.080
Epoch  15 Batch  181/269 - Train Accuracy:  0.937, Validation Accuracy:  0.945, Loss:  0.092
Epoch  15 Batch  182/269 - Train Accuracy:  0.941, Validation Accuracy:  0.944, Loss:  0.089
Epoch  15 Batch  183/269 - Train Accuracy:  0.954, Validation Accuracy:  0.947, Loss:  0.072
Epoch  15 Batch  184/269 - Train Accuracy:  0.938, Validation Accuracy:  0.946, Loss:  0.082
Epoch  15 Batch  185/269 - Train Accuracy:  0.951, Validation Accuracy:  0.946, Loss:  0.086
Epoch  15 Batch  186/269 - Train Accuracy:  0.931, Validation Accuracy:  0.946, Loss:  0.079
Epoch  15 Batch  187/269 - Train Accuracy:  0.935, Validation Accuracy:  0.947, Loss:  0.084
Epoch  15 Batch  188/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.077
Epoch  15 Batch  189/269 - Train Accuracy:  0.944, Validation Accuracy:  0.944, Loss:  0.082
Epoch  15 Batch  190/269 - Train Accuracy:  0.933, Validation Accuracy:  0.942, Loss:  0.075
Epoch  15 Batch  191/269 - Train Accuracy:  0.927, Validation Accuracy:  0.947, Loss:  0.085
Epoch  15 Batch  192/269 - Train Accuracy:  0.934, Validation Accuracy:  0.945, Loss:  0.093
Epoch  15 Batch  193/269 - Train Accuracy:  0.931, Validation Accuracy:  0.943, Loss:  0.086
Epoch  15 Batch  194/269 - Train Accuracy:  0.930, Validation Accuracy:  0.939, Loss:  0.082
Epoch  15 Batch  195/269 - Train Accuracy:  0.934, Validation Accuracy:  0.938, Loss:  0.083
Epoch  15 Batch  196/269 - Train Accuracy:  0.940, Validation Accuracy:  0.942, Loss:  0.084
Epoch  15 Batch  197/269 - Train Accuracy:  0.933, Validation Accuracy:  0.943, Loss:  0.087
Epoch  15 Batch  198/269 - Train Accuracy:  0.938, Validation Accuracy:  0.943, Loss:  0.089
Epoch  15 Batch  199/269 - Train Accuracy:  0.931, Validation Accuracy:  0.941, Loss:  0.091
Epoch  15 Batch  200/269 - Train Accuracy:  0.933, Validation Accuracy:  0.942, Loss:  0.083
Epoch  15 Batch  201/269 - Train Accuracy:  0.941, Validation Accuracy:  0.943, Loss:  0.085
Epoch  15 Batch  202/269 - Train Accuracy:  0.945, Validation Accuracy:  0.944, Loss:  0.088
Epoch  15 Batch  203/269 - Train Accuracy:  0.933, Validation Accuracy:  0.945, Loss:  0.089
Epoch  15 Batch  204/269 - Train Accuracy:  0.945, Validation Accuracy:  0.944, Loss:  0.086
Epoch  15 Batch  205/269 - Train Accuracy:  0.948, Validation Accuracy:  0.941, Loss:  0.082
Epoch  15 Batch  206/269 - Train Accuracy:  0.923, Validation Accuracy:  0.940, Loss:  0.090
Epoch  15 Batch  207/269 - Train Accuracy:  0.933, Validation Accuracy:  0.942, Loss:  0.077
Epoch  15 Batch  208/269 - Train Accuracy:  0.940, Validation Accuracy:  0.940, Loss:  0.090
Epoch  15 Batch  209/269 - Train Accuracy:  0.956, Validation Accuracy:  0.942, Loss:  0.083
Epoch  15 Batch  210/269 - Train Accuracy:  0.939, Validation Accuracy:  0.941, Loss:  0.079
Epoch  15 Batch  211/269 - Train Accuracy:  0.932, Validation Accuracy:  0.941, Loss:  0.087
Epoch  15 Batch  212/269 - Train Accuracy:  0.930, Validation Accuracy:  0.942, Loss:  0.098
Epoch  15 Batch  213/269 - Train Accuracy:  0.922, Validation Accuracy:  0.940, Loss:  0.083
Epoch  15 Batch  214/269 - Train Accuracy:  0.932, Validation Accuracy:  0.944, Loss:  0.087
Epoch  15 Batch  215/269 - Train Accuracy:  0.941, Validation Accuracy:  0.945, Loss:  0.081
Epoch  15 Batch  216/269 - Train Accuracy:  0.926, Validation Accuracy:  0.945, Loss:  0.101
Epoch  15 Batch  217/269 - Train Accuracy:  0.925, Validation Accuracy:  0.945, Loss:  0.088
Epoch  15 Batch  218/269 - Train Accuracy:  0.941, Validation Accuracy:  0.945, Loss:  0.082
Epoch  15 Batch  219/269 - Train Accuracy:  0.943, Validation Accuracy:  0.945, Loss:  0.095
Epoch  15 Batch  220/269 - Train Accuracy:  0.937, Validation Accuracy:  0.945, Loss:  0.084
Epoch  15 Batch  221/269 - Train Accuracy:  0.939, Validation Accuracy:  0.944, Loss:  0.083
Epoch  15 Batch  222/269 - Train Accuracy:  0.951, Validation Accuracy:  0.942, Loss:  0.074
Epoch  15 Batch  223/269 - Train Accuracy:  0.937, Validation Accuracy:  0.943, Loss:  0.081
Epoch  15 Batch  224/269 - Train Accuracy:  0.935, Validation Accuracy:  0.943, Loss:  0.098
Epoch  15 Batch  225/269 - Train Accuracy:  0.939, Validation Accuracy:  0.943, Loss:  0.080
Epoch  15 Batch  226/269 - Train Accuracy:  0.939, Validation Accuracy:  0.944, Loss:  0.089
Epoch  15 Batch  227/269 - Train Accuracy:  0.951, Validation Accuracy:  0.944, Loss:  0.084
Epoch  15 Batch  228/269 - Train Accuracy:  0.940, Validation Accuracy:  0.945, Loss:  0.084
Epoch  15 Batch  229/269 - Train Accuracy:  0.933, Validation Accuracy:  0.948, Loss:  0.082
Epoch  15 Batch  230/269 - Train Accuracy:  0.948, Validation Accuracy:  0.949, Loss:  0.083
Epoch  15 Batch  231/269 - Train Accuracy:  0.928, Validation Accuracy:  0.949, Loss:  0.090
Epoch  15 Batch  232/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.081
Epoch  15 Batch  233/269 - Train Accuracy:  0.949, Validation Accuracy:  0.950, Loss:  0.089
Epoch  15 Batch  234/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.085
Epoch  15 Batch  235/269 - Train Accuracy:  0.962, Validation Accuracy:  0.946, Loss:  0.075
Epoch  15 Batch  236/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.078
Epoch  15 Batch  237/269 - Train Accuracy:  0.951, Validation Accuracy:  0.940, Loss:  0.083
Epoch  15 Batch  238/269 - Train Accuracy:  0.947, Validation Accuracy:  0.940, Loss:  0.087
Epoch  15 Batch  239/269 - Train Accuracy:  0.945, Validation Accuracy:  0.941, Loss:  0.081
Epoch  15 Batch  240/269 - Train Accuracy:  0.941, Validation Accuracy:  0.942, Loss:  0.081
Epoch  15 Batch  241/269 - Train Accuracy:  0.939, Validation Accuracy:  0.942, Loss:  0.090
Epoch  15 Batch  242/269 - Train Accuracy:  0.940, Validation Accuracy:  0.943, Loss:  0.078
Epoch  15 Batch  243/269 - Train Accuracy:  0.944, Validation Accuracy:  0.945, Loss:  0.079
Epoch  15 Batch  244/269 - Train Accuracy:  0.926, Validation Accuracy:  0.943, Loss:  0.080
Epoch  15 Batch  245/269 - Train Accuracy:  0.926, Validation Accuracy:  0.943, Loss:  0.085
Epoch  15 Batch  246/269 - Train Accuracy:  0.932, Validation Accuracy:  0.943, Loss:  0.084
Epoch  15 Batch  247/269 - Train Accuracy:  0.938, Validation Accuracy:  0.946, Loss:  0.085
Epoch  15 Batch  248/269 - Train Accuracy:  0.945, Validation Accuracy:  0.946, Loss:  0.075
Epoch  15 Batch  249/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.076
Epoch  15 Batch  250/269 - Train Accuracy:  0.941, Validation Accuracy:  0.948, Loss:  0.085
Epoch  15 Batch  251/269 - Train Accuracy:  0.955, Validation Accuracy:  0.946, Loss:  0.080
Epoch  15 Batch  252/269 - Train Accuracy:  0.948, Validation Accuracy:  0.947, Loss:  0.073
Epoch  15 Batch  253/269 - Train Accuracy:  0.934, Validation Accuracy:  0.944, Loss:  0.087
Epoch  15 Batch  254/269 - Train Accuracy:  0.943, Validation Accuracy:  0.943, Loss:  0.081
Epoch  15 Batch  255/269 - Train Accuracy:  0.929, Validation Accuracy:  0.945, Loss:  0.084
Epoch  15 Batch  256/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.081
Epoch  15 Batch  257/269 - Train Accuracy:  0.932, Validation Accuracy:  0.945, Loss:  0.085
Epoch  15 Batch  258/269 - Train Accuracy:  0.930, Validation Accuracy:  0.942, Loss:  0.092
Epoch  15 Batch  259/269 - Train Accuracy:  0.943, Validation Accuracy:  0.943, Loss:  0.078
Epoch  15 Batch  260/269 - Train Accuracy:  0.929, Validation Accuracy:  0.942, Loss:  0.091
Epoch  15 Batch  261/269 - Train Accuracy:  0.938, Validation Accuracy:  0.943, Loss:  0.087
Epoch  15 Batch  262/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.086
Epoch  15 Batch  263/269 - Train Accuracy:  0.945, Validation Accuracy:  0.945, Loss:  0.084
Epoch  15 Batch  264/269 - Train Accuracy:  0.910, Validation Accuracy:  0.945, Loss:  0.093
Epoch  15 Batch  265/269 - Train Accuracy:  0.940, Validation Accuracy:  0.946, Loss:  0.079
Epoch  15 Batch  266/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.075
Epoch  15 Batch  267/269 - Train Accuracy:  0.944, Validation Accuracy:  0.953, Loss:  0.087
Epoch  16 Batch    0/269 - Train Accuracy:  0.950, Validation Accuracy:  0.951, Loss:  0.092
Epoch  16 Batch    1/269 - Train Accuracy:  0.932, Validation Accuracy:  0.950, Loss:  0.087
Epoch  16 Batch    2/269 - Train Accuracy:  0.938, Validation Accuracy:  0.949, Loss:  0.080
Epoch  16 Batch    3/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.086
Epoch  16 Batch    4/269 - Train Accuracy:  0.928, Validation Accuracy:  0.950, Loss:  0.083
Epoch  16 Batch    5/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.088
Epoch  16 Batch    6/269 - Train Accuracy:  0.945, Validation Accuracy:  0.945, Loss:  0.077
Epoch  16 Batch    7/269 - Train Accuracy:  0.939, Validation Accuracy:  0.945, Loss:  0.079
Epoch  16 Batch    8/269 - Train Accuracy:  0.951, Validation Accuracy:  0.946, Loss:  0.090
Epoch  16 Batch    9/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.085
Epoch  16 Batch   10/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.079
Epoch  16 Batch   11/269 - Train Accuracy:  0.936, Validation Accuracy:  0.949, Loss:  0.089
Epoch  16 Batch   12/269 - Train Accuracy:  0.929, Validation Accuracy:  0.950, Loss:  0.094
Epoch  16 Batch   13/269 - Train Accuracy:  0.940, Validation Accuracy:  0.951, Loss:  0.072
Epoch  16 Batch   14/269 - Train Accuracy:  0.950, Validation Accuracy:  0.952, Loss:  0.084
Epoch  16 Batch   15/269 - Train Accuracy:  0.946, Validation Accuracy:  0.951, Loss:  0.072
Epoch  16 Batch   16/269 - Train Accuracy:  0.930, Validation Accuracy:  0.950, Loss:  0.087
Epoch  16 Batch   17/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.071
Epoch  16 Batch   18/269 - Train Accuracy:  0.928, Validation Accuracy:  0.947, Loss:  0.085
Epoch  16 Batch   19/269 - Train Accuracy:  0.948, Validation Accuracy:  0.943, Loss:  0.070
Epoch  16 Batch   20/269 - Train Accuracy:  0.942, Validation Accuracy:  0.942, Loss:  0.079
Epoch  16 Batch   21/269 - Train Accuracy:  0.926, Validation Accuracy:  0.942, Loss:  0.091
Epoch  16 Batch   22/269 - Train Accuracy:  0.946, Validation Accuracy:  0.947, Loss:  0.081
Epoch  16 Batch   23/269 - Train Accuracy:  0.932, Validation Accuracy:  0.946, Loss:  0.088
Epoch  16 Batch   24/269 - Train Accuracy:  0.937, Validation Accuracy:  0.949, Loss:  0.082
Epoch  16 Batch   25/269 - Train Accuracy:  0.938, Validation Accuracy:  0.945, Loss:  0.088
Epoch  16 Batch   26/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.074
Epoch  16 Batch   27/269 - Train Accuracy:  0.928, Validation Accuracy:  0.942, Loss:  0.081
Epoch  16 Batch   28/269 - Train Accuracy:  0.919, Validation Accuracy:  0.942, Loss:  0.091
Epoch  16 Batch   29/269 - Train Accuracy:  0.935, Validation Accuracy:  0.943, Loss:  0.091
Epoch  16 Batch   30/269 - Train Accuracy:  0.933, Validation Accuracy:  0.942, Loss:  0.081
Epoch  16 Batch   31/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.081
Epoch  16 Batch   32/269 - Train Accuracy:  0.943, Validation Accuracy:  0.948, Loss:  0.079
Epoch  16 Batch   33/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.077
Epoch  16 Batch   34/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.079
Epoch  16 Batch   35/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.096
Epoch  16 Batch   36/269 - Train Accuracy:  0.937, Validation Accuracy:  0.948, Loss:  0.079
Epoch  16 Batch   37/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.087
Epoch  16 Batch   38/269 - Train Accuracy:  0.934, Validation Accuracy:  0.950, Loss:  0.081
Epoch  16 Batch   39/269 - Train Accuracy:  0.936, Validation Accuracy:  0.945, Loss:  0.075
Epoch  16 Batch   40/269 - Train Accuracy:  0.930, Validation Accuracy:  0.945, Loss:  0.081
Epoch  16 Batch   41/269 - Train Accuracy:  0.936, Validation Accuracy:  0.946, Loss:  0.082
Epoch  16 Batch   42/269 - Train Accuracy:  0.955, Validation Accuracy:  0.947, Loss:  0.078
Epoch  16 Batch   43/269 - Train Accuracy:  0.944, Validation Accuracy:  0.946, Loss:  0.080
Epoch  16 Batch   44/269 - Train Accuracy:  0.946, Validation Accuracy:  0.944, Loss:  0.085
Epoch  16 Batch   45/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.085
Epoch  16 Batch   46/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.082
Epoch  16 Batch   47/269 - Train Accuracy:  0.949, Validation Accuracy:  0.947, Loss:  0.071
Epoch  16 Batch   48/269 - Train Accuracy:  0.950, Validation Accuracy:  0.946, Loss:  0.076
Epoch  16 Batch   49/269 - Train Accuracy:  0.939, Validation Accuracy:  0.944, Loss:  0.082
Epoch  16 Batch   50/269 - Train Accuracy:  0.920, Validation Accuracy:  0.944, Loss:  0.094
Epoch  16 Batch   51/269 - Train Accuracy:  0.941, Validation Accuracy:  0.944, Loss:  0.082
Epoch  16 Batch   52/269 - Train Accuracy:  0.935, Validation Accuracy:  0.944, Loss:  0.071
Epoch  16 Batch   53/269 - Train Accuracy:  0.927, Validation Accuracy:  0.945, Loss:  0.087
Epoch  16 Batch   54/269 - Train Accuracy:  0.940, Validation Accuracy:  0.945, Loss:  0.076
Epoch  16 Batch   55/269 - Train Accuracy:  0.928, Validation Accuracy:  0.946, Loss:  0.078
Epoch  16 Batch   56/269 - Train Accuracy:  0.936, Validation Accuracy:  0.946, Loss:  0.085
Epoch  16 Batch   57/269 - Train Accuracy:  0.933, Validation Accuracy:  0.946, Loss:  0.086
Epoch  16 Batch   58/269 - Train Accuracy:  0.948, Validation Accuracy:  0.945, Loss:  0.078
Epoch  16 Batch   59/269 - Train Accuracy:  0.951, Validation Accuracy:  0.945, Loss:  0.067
Epoch  16 Batch   60/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.073
Epoch  16 Batch   61/269 - Train Accuracy:  0.947, Validation Accuracy:  0.947, Loss:  0.071
Epoch  16 Batch   62/269 - Train Accuracy:  0.928, Validation Accuracy:  0.945, Loss:  0.082
Epoch  16 Batch   63/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.083
Epoch  16 Batch   64/269 - Train Accuracy:  0.945, Validation Accuracy:  0.948, Loss:  0.077
Epoch  16 Batch   65/269 - Train Accuracy:  0.933, Validation Accuracy:  0.945, Loss:  0.081
Epoch  16 Batch   66/269 - Train Accuracy:  0.936, Validation Accuracy:  0.944, Loss:  0.080
Epoch  16 Batch   67/269 - Train Accuracy:  0.934, Validation Accuracy:  0.945, Loss:  0.087
Epoch  16 Batch   68/269 - Train Accuracy:  0.929, Validation Accuracy:  0.944, Loss:  0.092
Epoch  16 Batch   69/269 - Train Accuracy:  0.916, Validation Accuracy:  0.944, Loss:  0.100
Epoch  16 Batch   70/269 - Train Accuracy:  0.948, Validation Accuracy:  0.944, Loss:  0.088
Epoch  16 Batch   71/269 - Train Accuracy:  0.932, Validation Accuracy:  0.943, Loss:  0.089
Epoch  16 Batch   72/269 - Train Accuracy:  0.943, Validation Accuracy:  0.942, Loss:  0.090
Epoch  16 Batch   73/269 - Train Accuracy:  0.935, Validation Accuracy:  0.939, Loss:  0.090
Epoch  16 Batch   74/269 - Train Accuracy:  0.949, Validation Accuracy:  0.942, Loss:  0.081
Epoch  16 Batch   75/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.084
Epoch  16 Batch   76/269 - Train Accuracy:  0.944, Validation Accuracy:  0.939, Loss:  0.076
Epoch  16 Batch   77/269 - Train Accuracy:  0.947, Validation Accuracy:  0.940, Loss:  0.081
Epoch  16 Batch   78/269 - Train Accuracy:  0.941, Validation Accuracy:  0.940, Loss:  0.080
Epoch  16 Batch   79/269 - Train Accuracy:  0.926, Validation Accuracy:  0.940, Loss:  0.085
Epoch  16 Batch   80/269 - Train Accuracy:  0.943, Validation Accuracy:  0.940, Loss:  0.082
Epoch  16 Batch   81/269 - Train Accuracy:  0.939, Validation Accuracy:  0.939, Loss:  0.094
Epoch  16 Batch   82/269 - Train Accuracy:  0.945, Validation Accuracy:  0.940, Loss:  0.071
Epoch  16 Batch   83/269 - Train Accuracy:  0.930, Validation Accuracy:  0.941, Loss:  0.087
Epoch  16 Batch   84/269 - Train Accuracy:  0.943, Validation Accuracy:  0.945, Loss:  0.079
Epoch  16 Batch   85/269 - Train Accuracy:  0.938, Validation Accuracy:  0.942, Loss:  0.076
Epoch  16 Batch   86/269 - Train Accuracy:  0.950, Validation Accuracy:  0.942, Loss:  0.072
Epoch  16 Batch   87/269 - Train Accuracy:  0.944, Validation Accuracy:  0.942, Loss:  0.084
Epoch  16 Batch   88/269 - Train Accuracy:  0.921, Validation Accuracy:  0.942, Loss:  0.085
Epoch  16 Batch   89/269 - Train Accuracy:  0.943, Validation Accuracy:  0.939, Loss:  0.079
Epoch  16 Batch   90/269 - Train Accuracy:  0.933, Validation Accuracy:  0.937, Loss:  0.086
Epoch  16 Batch   91/269 - Train Accuracy:  0.949, Validation Accuracy:  0.937, Loss:  0.078
Epoch  16 Batch   92/269 - Train Accuracy:  0.952, Validation Accuracy:  0.935, Loss:  0.071
Epoch  16 Batch   93/269 - Train Accuracy:  0.944, Validation Accuracy:  0.936, Loss:  0.070
Epoch  16 Batch   94/269 - Train Accuracy:  0.943, Validation Accuracy:  0.936, Loss:  0.090
Epoch  16 Batch   95/269 - Train Accuracy:  0.941, Validation Accuracy:  0.939, Loss:  0.081
Epoch  16 Batch   96/269 - Train Accuracy:  0.927, Validation Accuracy:  0.938, Loss:  0.085
Epoch  16 Batch   97/269 - Train Accuracy:  0.940, Validation Accuracy:  0.940, Loss:  0.088
Epoch  16 Batch   98/269 - Train Accuracy:  0.946, Validation Accuracy:  0.940, Loss:  0.076
Epoch  16 Batch   99/269 - Train Accuracy:  0.945, Validation Accuracy:  0.940, Loss:  0.078
Epoch  16 Batch  100/269 - Train Accuracy:  0.943, Validation Accuracy:  0.942, Loss:  0.077
Epoch  16 Batch  101/269 - Train Accuracy:  0.938, Validation Accuracy:  0.941, Loss:  0.094
Epoch  16 Batch  102/269 - Train Accuracy:  0.939, Validation Accuracy:  0.938, Loss:  0.079
Epoch  16 Batch  103/269 - Train Accuracy:  0.944, Validation Accuracy:  0.940, Loss:  0.091
Epoch  16 Batch  104/269 - Train Accuracy:  0.946, Validation Accuracy:  0.939, Loss:  0.082
Epoch  16 Batch  105/269 - Train Accuracy:  0.929, Validation Accuracy:  0.940, Loss:  0.084
Epoch  16 Batch  106/269 - Train Accuracy:  0.946, Validation Accuracy:  0.942, Loss:  0.070
Epoch  16 Batch  107/269 - Train Accuracy:  0.952, Validation Accuracy:  0.942, Loss:  0.086
Epoch  16 Batch  108/269 - Train Accuracy:  0.945, Validation Accuracy:  0.944, Loss:  0.077
Epoch  16 Batch  109/269 - Train Accuracy:  0.925, Validation Accuracy:  0.940, Loss:  0.088
Epoch  16 Batch  110/269 - Train Accuracy:  0.936, Validation Accuracy:  0.940, Loss:  0.078
Epoch  16 Batch  111/269 - Train Accuracy:  0.935, Validation Accuracy:  0.939, Loss:  0.088
Epoch  16 Batch  112/269 - Train Accuracy:  0.937, Validation Accuracy:  0.937, Loss:  0.077
Epoch  16 Batch  113/269 - Train Accuracy:  0.933, Validation Accuracy:  0.936, Loss:  0.078
Epoch  16 Batch  114/269 - Train Accuracy:  0.928, Validation Accuracy:  0.936, Loss:  0.083
Epoch  16 Batch  115/269 - Train Accuracy:  0.933, Validation Accuracy:  0.936, Loss:  0.085
Epoch  16 Batch  116/269 - Train Accuracy:  0.947, Validation Accuracy:  0.940, Loss:  0.085
Epoch  16 Batch  117/269 - Train Accuracy:  0.944, Validation Accuracy:  0.940, Loss:  0.073
Epoch  16 Batch  118/269 - Train Accuracy:  0.944, Validation Accuracy:  0.940, Loss:  0.070
Epoch  16 Batch  119/269 - Train Accuracy:  0.930, Validation Accuracy:  0.940, Loss:  0.091
Epoch  16 Batch  120/269 - Train Accuracy:  0.939, Validation Accuracy:  0.941, Loss:  0.081
Epoch  16 Batch  121/269 - Train Accuracy:  0.943, Validation Accuracy:  0.940, Loss:  0.070
Epoch  16 Batch  122/269 - Train Accuracy:  0.948, Validation Accuracy:  0.944, Loss:  0.081
Epoch  16 Batch  123/269 - Train Accuracy:  0.949, Validation Accuracy:  0.943, Loss:  0.079
Epoch  16 Batch  124/269 - Train Accuracy:  0.940, Validation Accuracy:  0.944, Loss:  0.067
Epoch  16 Batch  125/269 - Train Accuracy:  0.951, Validation Accuracy:  0.945, Loss:  0.068
Epoch  16 Batch  126/269 - Train Accuracy:  0.936, Validation Accuracy:  0.944, Loss:  0.074
Epoch  16 Batch  127/269 - Train Accuracy:  0.935, Validation Accuracy:  0.940, Loss:  0.083
Epoch  16 Batch  128/269 - Train Accuracy:  0.942, Validation Accuracy:  0.940, Loss:  0.079
Epoch  16 Batch  129/269 - Train Accuracy:  0.935, Validation Accuracy:  0.941, Loss:  0.075
Epoch  16 Batch  130/269 - Train Accuracy:  0.944, Validation Accuracy:  0.938, Loss:  0.083
Epoch  16 Batch  131/269 - Train Accuracy:  0.928, Validation Accuracy:  0.937, Loss:  0.081
Epoch  16 Batch  132/269 - Train Accuracy:  0.925, Validation Accuracy:  0.935, Loss:  0.079
Epoch  16 Batch  133/269 - Train Accuracy:  0.943, Validation Accuracy:  0.936, Loss:  0.073
Epoch  16 Batch  134/269 - Train Accuracy:  0.942, Validation Accuracy:  0.936, Loss:  0.080
Epoch  16 Batch  135/269 - Train Accuracy:  0.943, Validation Accuracy:  0.937, Loss:  0.078
Epoch  16 Batch  136/269 - Train Accuracy:  0.928, Validation Accuracy:  0.941, Loss:  0.090
Epoch  16 Batch  137/269 - Train Accuracy:  0.934, Validation Accuracy:  0.941, Loss:  0.086
Epoch  16 Batch  138/269 - Train Accuracy:  0.942, Validation Accuracy:  0.943, Loss:  0.075
Epoch  16 Batch  139/269 - Train Accuracy:  0.939, Validation Accuracy:  0.942, Loss:  0.072
Epoch  16 Batch  140/269 - Train Accuracy:  0.932, Validation Accuracy:  0.942, Loss:  0.086
Epoch  16 Batch  141/269 - Train Accuracy:  0.929, Validation Accuracy:  0.943, Loss:  0.084
Epoch  16 Batch  142/269 - Train Accuracy:  0.939, Validation Accuracy:  0.944, Loss:  0.082
Epoch  16 Batch  143/269 - Train Accuracy:  0.952, Validation Accuracy:  0.945, Loss:  0.075
Epoch  16 Batch  144/269 - Train Accuracy:  0.949, Validation Accuracy:  0.941, Loss:  0.062
Epoch  16 Batch  145/269 - Train Accuracy:  0.949, Validation Accuracy:  0.942, Loss:  0.074
Epoch  16 Batch  146/269 - Train Accuracy:  0.938, Validation Accuracy:  0.940, Loss:  0.076
Epoch  16 Batch  147/269 - Train Accuracy:  0.939, Validation Accuracy:  0.940, Loss:  0.085
Epoch  16 Batch  148/269 - Train Accuracy:  0.938, Validation Accuracy:  0.940, Loss:  0.080
Epoch  16 Batch  149/269 - Train Accuracy:  0.928, Validation Accuracy:  0.940, Loss:  0.089
Epoch  16 Batch  150/269 - Train Accuracy:  0.930, Validation Accuracy:  0.939, Loss:  0.078
Epoch  16 Batch  151/269 - Train Accuracy:  0.946, Validation Accuracy:  0.941, Loss:  0.080
Epoch  16 Batch  152/269 - Train Accuracy:  0.937, Validation Accuracy:  0.942, Loss:  0.078
Epoch  16 Batch  153/269 - Train Accuracy:  0.951, Validation Accuracy:  0.941, Loss:  0.072
Epoch  16 Batch  154/269 - Train Accuracy:  0.947, Validation Accuracy:  0.944, Loss:  0.082
Epoch  16 Batch  155/269 - Train Accuracy:  0.930, Validation Accuracy:  0.947, Loss:  0.077
Epoch  16 Batch  156/269 - Train Accuracy:  0.947, Validation Accuracy:  0.946, Loss:  0.084
Epoch  16 Batch  157/269 - Train Accuracy:  0.938, Validation Accuracy:  0.948, Loss:  0.075
Epoch  16 Batch  158/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.081
Epoch  16 Batch  159/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.082
Epoch  16 Batch  160/269 - Train Accuracy:  0.939, Validation Accuracy:  0.945, Loss:  0.080
Epoch  16 Batch  161/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.078
Epoch  16 Batch  162/269 - Train Accuracy:  0.941, Validation Accuracy:  0.948, Loss:  0.078
Epoch  16 Batch  163/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.077
Epoch  16 Batch  164/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.075
Epoch  16 Batch  165/269 - Train Accuracy:  0.939, Validation Accuracy:  0.954, Loss:  0.075
Epoch  16 Batch  166/269 - Train Accuracy:  0.944, Validation Accuracy:  0.953, Loss:  0.080
Epoch  16 Batch  167/269 - Train Accuracy:  0.939, Validation Accuracy:  0.952, Loss:  0.079
Epoch  16 Batch  168/269 - Train Accuracy:  0.949, Validation Accuracy:  0.949, Loss:  0.080
Epoch  16 Batch  169/269 - Train Accuracy:  0.935, Validation Accuracy:  0.946, Loss:  0.075
Epoch  16 Batch  170/269 - Train Accuracy:  0.942, Validation Accuracy:  0.942, Loss:  0.071
Epoch  16 Batch  171/269 - Train Accuracy:  0.946, Validation Accuracy:  0.944, Loss:  0.080
Epoch  16 Batch  172/269 - Train Accuracy:  0.928, Validation Accuracy:  0.941, Loss:  0.086
Epoch  16 Batch  173/269 - Train Accuracy:  0.947, Validation Accuracy:  0.940, Loss:  0.068
Epoch  16 Batch  174/269 - Train Accuracy:  0.949, Validation Accuracy:  0.941, Loss:  0.076
Epoch  16 Batch  175/269 - Train Accuracy:  0.934, Validation Accuracy:  0.942, Loss:  0.089
Epoch  16 Batch  176/269 - Train Accuracy:  0.927, Validation Accuracy:  0.945, Loss:  0.088
Epoch  16 Batch  177/269 - Train Accuracy:  0.946, Validation Accuracy:  0.944, Loss:  0.075
Epoch  16 Batch  178/269 - Train Accuracy:  0.950, Validation Accuracy:  0.948, Loss:  0.074
Epoch  16 Batch  179/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.077
Epoch  16 Batch  180/269 - Train Accuracy:  0.950, Validation Accuracy:  0.943, Loss:  0.074
Epoch  16 Batch  181/269 - Train Accuracy:  0.939, Validation Accuracy:  0.943, Loss:  0.085
Epoch  16 Batch  182/269 - Train Accuracy:  0.945, Validation Accuracy:  0.943, Loss:  0.077
Epoch  16 Batch  183/269 - Train Accuracy:  0.959, Validation Accuracy:  0.945, Loss:  0.066
Epoch  16 Batch  184/269 - Train Accuracy:  0.936, Validation Accuracy:  0.944, Loss:  0.072
Epoch  16 Batch  185/269 - Train Accuracy:  0.951, Validation Accuracy:  0.946, Loss:  0.085
Epoch  16 Batch  186/269 - Train Accuracy:  0.935, Validation Accuracy:  0.945, Loss:  0.074
Epoch  16 Batch  187/269 - Train Accuracy:  0.935, Validation Accuracy:  0.946, Loss:  0.072
Epoch  16 Batch  188/269 - Train Accuracy:  0.947, Validation Accuracy:  0.946, Loss:  0.074
Epoch  16 Batch  189/269 - Train Accuracy:  0.946, Validation Accuracy:  0.945, Loss:  0.073
Epoch  16 Batch  190/269 - Train Accuracy:  0.944, Validation Accuracy:  0.946, Loss:  0.077
Epoch  16 Batch  191/269 - Train Accuracy:  0.934, Validation Accuracy:  0.944, Loss:  0.077
Epoch  16 Batch  192/269 - Train Accuracy:  0.938, Validation Accuracy:  0.942, Loss:  0.082
Epoch  16 Batch  193/269 - Train Accuracy:  0.937, Validation Accuracy:  0.943, Loss:  0.074
Epoch  16 Batch  194/269 - Train Accuracy:  0.931, Validation Accuracy:  0.944, Loss:  0.077
Epoch  16 Batch  195/269 - Train Accuracy:  0.931, Validation Accuracy:  0.946, Loss:  0.078
Epoch  16 Batch  196/269 - Train Accuracy:  0.943, Validation Accuracy:  0.947, Loss:  0.075
Epoch  16 Batch  197/269 - Train Accuracy:  0.938, Validation Accuracy:  0.945, Loss:  0.077
Epoch  16 Batch  198/269 - Train Accuracy:  0.945, Validation Accuracy:  0.944, Loss:  0.082
Epoch  16 Batch  199/269 - Train Accuracy:  0.942, Validation Accuracy:  0.946, Loss:  0.078
Epoch  16 Batch  200/269 - Train Accuracy:  0.937, Validation Accuracy:  0.946, Loss:  0.078
Epoch  16 Batch  201/269 - Train Accuracy:  0.946, Validation Accuracy:  0.945, Loss:  0.079
Epoch  16 Batch  202/269 - Train Accuracy:  0.944, Validation Accuracy:  0.948, Loss:  0.074
Epoch  16 Batch  203/269 - Train Accuracy:  0.936, Validation Accuracy:  0.949, Loss:  0.081
Epoch  16 Batch  204/269 - Train Accuracy:  0.950, Validation Accuracy:  0.948, Loss:  0.081
Epoch  16 Batch  205/269 - Train Accuracy:  0.944, Validation Accuracy:  0.949, Loss:  0.074
Epoch  16 Batch  206/269 - Train Accuracy:  0.924, Validation Accuracy:  0.949, Loss:  0.084
Epoch  16 Batch  207/269 - Train Accuracy:  0.935, Validation Accuracy:  0.945, Loss:  0.072
Epoch  16 Batch  208/269 - Train Accuracy:  0.937, Validation Accuracy:  0.943, Loss:  0.087
Epoch  16 Batch  209/269 - Train Accuracy:  0.952, Validation Accuracy:  0.944, Loss:  0.072
Epoch  16 Batch  210/269 - Train Accuracy:  0.945, Validation Accuracy:  0.947, Loss:  0.075
Epoch  16 Batch  211/269 - Train Accuracy:  0.936, Validation Accuracy:  0.947, Loss:  0.081
Epoch  16 Batch  212/269 - Train Accuracy:  0.938, Validation Accuracy:  0.946, Loss:  0.084
Epoch  16 Batch  213/269 - Train Accuracy:  0.930, Validation Accuracy:  0.945, Loss:  0.074
Epoch  16 Batch  214/269 - Train Accuracy:  0.935, Validation Accuracy:  0.944, Loss:  0.083
Epoch  16 Batch  215/269 - Train Accuracy:  0.941, Validation Accuracy:  0.946, Loss:  0.071
Epoch  16 Batch  216/269 - Train Accuracy:  0.928, Validation Accuracy:  0.946, Loss:  0.089
Epoch  16 Batch  217/269 - Train Accuracy:  0.927, Validation Accuracy:  0.947, Loss:  0.082
Epoch  16 Batch  218/269 - Train Accuracy:  0.937, Validation Accuracy:  0.948, Loss:  0.080
Epoch  16 Batch  219/269 - Train Accuracy:  0.947, Validation Accuracy:  0.947, Loss:  0.088
Epoch  16 Batch  220/269 - Train Accuracy:  0.939, Validation Accuracy:  0.948, Loss:  0.072
Epoch  16 Batch  221/269 - Train Accuracy:  0.944, Validation Accuracy:  0.950, Loss:  0.080
Epoch  16 Batch  222/269 - Train Accuracy:  0.953, Validation Accuracy:  0.951, Loss:  0.065
Epoch  16 Batch  223/269 - Train Accuracy:  0.938, Validation Accuracy:  0.951, Loss:  0.071
Epoch  16 Batch  224/269 - Train Accuracy:  0.937, Validation Accuracy:  0.950, Loss:  0.089
Epoch  16 Batch  225/269 - Train Accuracy:  0.936, Validation Accuracy:  0.951, Loss:  0.075
Epoch  16 Batch  226/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.082
Epoch  16 Batch  227/269 - Train Accuracy:  0.952, Validation Accuracy:  0.946, Loss:  0.086
Epoch  16 Batch  228/269 - Train Accuracy:  0.947, Validation Accuracy:  0.947, Loss:  0.076
Epoch  16 Batch  229/269 - Train Accuracy:  0.939, Validation Accuracy:  0.946, Loss:  0.073
Epoch  16 Batch  230/269 - Train Accuracy:  0.948, Validation Accuracy:  0.947, Loss:  0.078
Epoch  16 Batch  231/269 - Train Accuracy:  0.930, Validation Accuracy:  0.948, Loss:  0.084
Epoch  16 Batch  232/269 - Train Accuracy:  0.941, Validation Accuracy:  0.948, Loss:  0.072
Epoch  16 Batch  233/269 - Train Accuracy:  0.954, Validation Accuracy:  0.952, Loss:  0.084
Epoch  16 Batch  234/269 - Train Accuracy:  0.948, Validation Accuracy:  0.953, Loss:  0.074
Epoch  16 Batch  235/269 - Train Accuracy:  0.960, Validation Accuracy:  0.957, Loss:  0.071
Epoch  16 Batch  236/269 - Train Accuracy:  0.932, Validation Accuracy:  0.956, Loss:  0.067
Epoch  16 Batch  237/269 - Train Accuracy:  0.958, Validation Accuracy:  0.956, Loss:  0.070
Epoch  16 Batch  238/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.078
Epoch  16 Batch  239/269 - Train Accuracy:  0.944, Validation Accuracy:  0.954, Loss:  0.080
Epoch  16 Batch  240/269 - Train Accuracy:  0.942, Validation Accuracy:  0.954, Loss:  0.074
Epoch  16 Batch  241/269 - Train Accuracy:  0.942, Validation Accuracy:  0.956, Loss:  0.085
Epoch  16 Batch  242/269 - Train Accuracy:  0.942, Validation Accuracy:  0.955, Loss:  0.074
Epoch  16 Batch  243/269 - Train Accuracy:  0.948, Validation Accuracy:  0.955, Loss:  0.073
Epoch  16 Batch  244/269 - Train Accuracy:  0.932, Validation Accuracy:  0.956, Loss:  0.075
Epoch  16 Batch  245/269 - Train Accuracy:  0.931, Validation Accuracy:  0.954, Loss:  0.082
Epoch  16 Batch  246/269 - Train Accuracy:  0.939, Validation Accuracy:  0.953, Loss:  0.080
Epoch  16 Batch  247/269 - Train Accuracy:  0.940, Validation Accuracy:  0.952, Loss:  0.077
Epoch  16 Batch  248/269 - Train Accuracy:  0.947, Validation Accuracy:  0.954, Loss:  0.072
Epoch  16 Batch  249/269 - Train Accuracy:  0.941, Validation Accuracy:  0.954, Loss:  0.072
Epoch  16 Batch  250/269 - Train Accuracy:  0.945, Validation Accuracy:  0.955, Loss:  0.080
Epoch  16 Batch  251/269 - Train Accuracy:  0.958, Validation Accuracy:  0.954, Loss:  0.071
Epoch  16 Batch  252/269 - Train Accuracy:  0.947, Validation Accuracy:  0.955, Loss:  0.063
Epoch  16 Batch  253/269 - Train Accuracy:  0.932, Validation Accuracy:  0.953, Loss:  0.081
Epoch  16 Batch  254/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.073
Epoch  16 Batch  255/269 - Train Accuracy:  0.937, Validation Accuracy:  0.949, Loss:  0.075
Epoch  16 Batch  256/269 - Train Accuracy:  0.940, Validation Accuracy:  0.945, Loss:  0.072
Epoch  16 Batch  257/269 - Train Accuracy:  0.932, Validation Accuracy:  0.944, Loss:  0.084
Epoch  16 Batch  258/269 - Train Accuracy:  0.933, Validation Accuracy:  0.943, Loss:  0.078
Epoch  16 Batch  259/269 - Train Accuracy:  0.949, Validation Accuracy:  0.945, Loss:  0.075
Epoch  16 Batch  260/269 - Train Accuracy:  0.935, Validation Accuracy:  0.949, Loss:  0.082
Epoch  16 Batch  261/269 - Train Accuracy:  0.941, Validation Accuracy:  0.952, Loss:  0.076
Epoch  16 Batch  262/269 - Train Accuracy:  0.941, Validation Accuracy:  0.952, Loss:  0.073
Epoch  16 Batch  263/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.080
Epoch  16 Batch  264/269 - Train Accuracy:  0.910, Validation Accuracy:  0.950, Loss:  0.079
Epoch  16 Batch  265/269 - Train Accuracy:  0.946, Validation Accuracy:  0.951, Loss:  0.076
Epoch  16 Batch  266/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.068
Epoch  16 Batch  267/269 - Train Accuracy:  0.951, Validation Accuracy:  0.953, Loss:  0.085
Epoch  17 Batch    0/269 - Train Accuracy:  0.951, Validation Accuracy:  0.954, Loss:  0.085
Epoch  17 Batch    1/269 - Train Accuracy:  0.940, Validation Accuracy:  0.953, Loss:  0.074
Epoch  17 Batch    2/269 - Train Accuracy:  0.939, Validation Accuracy:  0.954, Loss:  0.074
Epoch  17 Batch    3/269 - Train Accuracy:  0.945, Validation Accuracy:  0.952, Loss:  0.079
Epoch  17 Batch    4/269 - Train Accuracy:  0.933, Validation Accuracy:  0.953, Loss:  0.082
Epoch  17 Batch    5/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.077
Epoch  17 Batch    6/269 - Train Accuracy:  0.944, Validation Accuracy:  0.945, Loss:  0.067
Epoch  17 Batch    7/269 - Train Accuracy:  0.944, Validation Accuracy:  0.943, Loss:  0.077
Epoch  17 Batch    8/269 - Train Accuracy:  0.951, Validation Accuracy:  0.942, Loss:  0.078
Epoch  17 Batch    9/269 - Train Accuracy:  0.943, Validation Accuracy:  0.946, Loss:  0.082
Epoch  17 Batch   10/269 - Train Accuracy:  0.947, Validation Accuracy:  0.950, Loss:  0.065
Epoch  17 Batch   11/269 - Train Accuracy:  0.937, Validation Accuracy:  0.952, Loss:  0.085
Epoch  17 Batch   12/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.082
Epoch  17 Batch   13/269 - Train Accuracy:  0.942, Validation Accuracy:  0.952, Loss:  0.067
Epoch  17 Batch   14/269 - Train Accuracy:  0.948, Validation Accuracy:  0.953, Loss:  0.073
Epoch  17 Batch   15/269 - Train Accuracy:  0.952, Validation Accuracy:  0.951, Loss:  0.065
Epoch  17 Batch   16/269 - Train Accuracy:  0.928, Validation Accuracy:  0.950, Loss:  0.077
Epoch  17 Batch   17/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.066
Epoch  17 Batch   18/269 - Train Accuracy:  0.935, Validation Accuracy:  0.948, Loss:  0.074
Epoch  17 Batch   19/269 - Train Accuracy:  0.948, Validation Accuracy:  0.948, Loss:  0.069
Epoch  17 Batch   20/269 - Train Accuracy:  0.946, Validation Accuracy:  0.949, Loss:  0.074
Epoch  17 Batch   21/269 - Train Accuracy:  0.932, Validation Accuracy:  0.949, Loss:  0.079
Epoch  17 Batch   22/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.072
Epoch  17 Batch   23/269 - Train Accuracy:  0.939, Validation Accuracy:  0.949, Loss:  0.084
Epoch  17 Batch   24/269 - Train Accuracy:  0.947, Validation Accuracy:  0.948, Loss:  0.072
Epoch  17 Batch   25/269 - Train Accuracy:  0.946, Validation Accuracy:  0.947, Loss:  0.083
Epoch  17 Batch   26/269 - Train Accuracy:  0.942, Validation Accuracy:  0.946, Loss:  0.069
Epoch  17 Batch   27/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.069
Epoch  17 Batch   28/269 - Train Accuracy:  0.922, Validation Accuracy:  0.944, Loss:  0.078
Epoch  17 Batch   29/269 - Train Accuracy:  0.938, Validation Accuracy:  0.944, Loss:  0.080
Epoch  17 Batch   30/269 - Train Accuracy:  0.935, Validation Accuracy:  0.946, Loss:  0.074
Epoch  17 Batch   31/269 - Train Accuracy:  0.950, Validation Accuracy:  0.948, Loss:  0.068
Epoch  17 Batch   32/269 - Train Accuracy:  0.950, Validation Accuracy:  0.946, Loss:  0.070
Epoch  17 Batch   33/269 - Train Accuracy:  0.937, Validation Accuracy:  0.949, Loss:  0.072
Epoch  17 Batch   34/269 - Train Accuracy:  0.941, Validation Accuracy:  0.950, Loss:  0.072
Epoch  17 Batch   35/269 - Train Accuracy:  0.942, Validation Accuracy:  0.952, Loss:  0.082
Epoch  17 Batch   36/269 - Train Accuracy:  0.948, Validation Accuracy:  0.952, Loss:  0.071
Epoch  17 Batch   37/269 - Train Accuracy:  0.939, Validation Accuracy:  0.950, Loss:  0.073
Epoch  17 Batch   38/269 - Train Accuracy:  0.936, Validation Accuracy:  0.948, Loss:  0.073
Epoch  17 Batch   39/269 - Train Accuracy:  0.944, Validation Accuracy:  0.949, Loss:  0.066
Epoch  17 Batch   40/269 - Train Accuracy:  0.936, Validation Accuracy:  0.948, Loss:  0.076
Epoch  17 Batch   41/269 - Train Accuracy:  0.935, Validation Accuracy:  0.949, Loss:  0.081
Epoch  17 Batch   42/269 - Train Accuracy:  0.958, Validation Accuracy:  0.946, Loss:  0.071
Epoch  17 Batch   43/269 - Train Accuracy:  0.942, Validation Accuracy:  0.945, Loss:  0.080
Epoch  17 Batch   44/269 - Train Accuracy:  0.948, Validation Accuracy:  0.945, Loss:  0.079
Epoch  17 Batch   45/269 - Train Accuracy:  0.938, Validation Accuracy:  0.944, Loss:  0.078
Epoch  17 Batch   46/269 - Train Accuracy:  0.949, Validation Accuracy:  0.947, Loss:  0.070
Epoch  17 Batch   47/269 - Train Accuracy:  0.950, Validation Accuracy:  0.950, Loss:  0.062
Epoch  17 Batch   48/269 - Train Accuracy:  0.955, Validation Accuracy:  0.948, Loss:  0.076
Epoch  17 Batch   49/269 - Train Accuracy:  0.942, Validation Accuracy:  0.946, Loss:  0.073
Epoch  17 Batch   50/269 - Train Accuracy:  0.923, Validation Accuracy:  0.947, Loss:  0.086
Epoch  17 Batch   51/269 - Train Accuracy:  0.940, Validation Accuracy:  0.946, Loss:  0.071
Epoch  17 Batch   52/269 - Train Accuracy:  0.932, Validation Accuracy:  0.949, Loss:  0.065
Epoch  17 Batch   53/269 - Train Accuracy:  0.936, Validation Accuracy:  0.946, Loss:  0.075
Epoch  17 Batch   54/269 - Train Accuracy:  0.947, Validation Accuracy:  0.945, Loss:  0.069
Epoch  17 Batch   55/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.074
Epoch  17 Batch   56/269 - Train Accuracy:  0.940, Validation Accuracy:  0.948, Loss:  0.077
Epoch  17 Batch   57/269 - Train Accuracy:  0.935, Validation Accuracy:  0.949, Loss:  0.081
Epoch  17 Batch   58/269 - Train Accuracy:  0.946, Validation Accuracy:  0.952, Loss:  0.075
Epoch  17 Batch   59/269 - Train Accuracy:  0.952, Validation Accuracy:  0.951, Loss:  0.065
Epoch  17 Batch   60/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.068
Epoch  17 Batch   61/269 - Train Accuracy:  0.949, Validation Accuracy:  0.947, Loss:  0.072
Epoch  17 Batch   62/269 - Train Accuracy:  0.925, Validation Accuracy:  0.945, Loss:  0.079
Epoch  17 Batch   63/269 - Train Accuracy:  0.935, Validation Accuracy:  0.947, Loss:  0.082
Epoch  17 Batch   64/269 - Train Accuracy:  0.953, Validation Accuracy:  0.948, Loss:  0.066
Epoch  17 Batch   65/269 - Train Accuracy:  0.942, Validation Accuracy:  0.946, Loss:  0.075
Epoch  17 Batch   66/269 - Train Accuracy:  0.941, Validation Accuracy:  0.945, Loss:  0.074
Epoch  17 Batch   67/269 - Train Accuracy:  0.941, Validation Accuracy:  0.944, Loss:  0.077
Epoch  17 Batch   68/269 - Train Accuracy:  0.937, Validation Accuracy:  0.942, Loss:  0.081
Epoch  17 Batch   69/269 - Train Accuracy:  0.921, Validation Accuracy:  0.944, Loss:  0.093
Epoch  17 Batch   70/269 - Train Accuracy:  0.949, Validation Accuracy:  0.944, Loss:  0.074
Epoch  17 Batch   71/269 - Train Accuracy:  0.947, Validation Accuracy:  0.946, Loss:  0.080
Epoch  17 Batch   72/269 - Train Accuracy:  0.948, Validation Accuracy:  0.949, Loss:  0.083
Epoch  17 Batch   73/269 - Train Accuracy:  0.934, Validation Accuracy:  0.949, Loss:  0.079
Epoch  17 Batch   74/269 - Train Accuracy:  0.953, Validation Accuracy:  0.948, Loss:  0.070
Epoch  17 Batch   75/269 - Train Accuracy:  0.939, Validation Accuracy:  0.949, Loss:  0.079
Epoch  17 Batch   76/269 - Train Accuracy:  0.937, Validation Accuracy:  0.950, Loss:  0.071
Epoch  17 Batch   77/269 - Train Accuracy:  0.947, Validation Accuracy:  0.948, Loss:  0.075
Epoch  17 Batch   78/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.074
Epoch  17 Batch   79/269 - Train Accuracy:  0.930, Validation Accuracy:  0.947, Loss:  0.073
Epoch  17 Batch   80/269 - Train Accuracy:  0.951, Validation Accuracy:  0.946, Loss:  0.073
Epoch  17 Batch   81/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.080
Epoch  17 Batch   82/269 - Train Accuracy:  0.948, Validation Accuracy:  0.948, Loss:  0.064
Epoch  17 Batch   83/269 - Train Accuracy:  0.929, Validation Accuracy:  0.947, Loss:  0.088
Epoch  17 Batch   84/269 - Train Accuracy:  0.938, Validation Accuracy:  0.948, Loss:  0.073
Epoch  17 Batch   85/269 - Train Accuracy:  0.940, Validation Accuracy:  0.949, Loss:  0.071
Epoch  17 Batch   86/269 - Train Accuracy:  0.952, Validation Accuracy:  0.949, Loss:  0.070
Epoch  17 Batch   87/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.080
Epoch  17 Batch   88/269 - Train Accuracy:  0.933, Validation Accuracy:  0.951, Loss:  0.076
Epoch  17 Batch   89/269 - Train Accuracy:  0.952, Validation Accuracy:  0.947, Loss:  0.073
Epoch  17 Batch   90/269 - Train Accuracy:  0.947, Validation Accuracy:  0.946, Loss:  0.077
Epoch  17 Batch   91/269 - Train Accuracy:  0.951, Validation Accuracy:  0.946, Loss:  0.071
Epoch  17 Batch   92/269 - Train Accuracy:  0.953, Validation Accuracy:  0.945, Loss:  0.068
Epoch  17 Batch   93/269 - Train Accuracy:  0.949, Validation Accuracy:  0.941, Loss:  0.072
Epoch  17 Batch   94/269 - Train Accuracy:  0.938, Validation Accuracy:  0.942, Loss:  0.088
Epoch  17 Batch   95/269 - Train Accuracy:  0.943, Validation Accuracy:  0.944, Loss:  0.072
Epoch  17 Batch   96/269 - Train Accuracy:  0.931, Validation Accuracy:  0.944, Loss:  0.077
Epoch  17 Batch   97/269 - Train Accuracy:  0.940, Validation Accuracy:  0.943, Loss:  0.074
Epoch  17 Batch   98/269 - Train Accuracy:  0.951, Validation Accuracy:  0.943, Loss:  0.071
Epoch  17 Batch   99/269 - Train Accuracy:  0.949, Validation Accuracy:  0.944, Loss:  0.070
Epoch  17 Batch  100/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.075
Epoch  17 Batch  101/269 - Train Accuracy:  0.937, Validation Accuracy:  0.946, Loss:  0.088
Epoch  17 Batch  102/269 - Train Accuracy:  0.944, Validation Accuracy:  0.948, Loss:  0.073
Epoch  17 Batch  103/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.086
Epoch  17 Batch  104/269 - Train Accuracy:  0.947, Validation Accuracy:  0.947, Loss:  0.076
Epoch  17 Batch  105/269 - Train Accuracy:  0.940, Validation Accuracy:  0.946, Loss:  0.077
Epoch  17 Batch  106/269 - Train Accuracy:  0.951, Validation Accuracy:  0.947, Loss:  0.066
Epoch  17 Batch  107/269 - Train Accuracy:  0.963, Validation Accuracy:  0.947, Loss:  0.068
Epoch  17 Batch  108/269 - Train Accuracy:  0.949, Validation Accuracy:  0.945, Loss:  0.070
Epoch  17 Batch  109/269 - Train Accuracy:  0.928, Validation Accuracy:  0.945, Loss:  0.081
Epoch  17 Batch  110/269 - Train Accuracy:  0.936, Validation Accuracy:  0.943, Loss:  0.070
Epoch  17 Batch  111/269 - Train Accuracy:  0.935, Validation Accuracy:  0.942, Loss:  0.082
Epoch  17 Batch  112/269 - Train Accuracy:  0.943, Validation Accuracy:  0.942, Loss:  0.074
Epoch  17 Batch  113/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.071
Epoch  17 Batch  114/269 - Train Accuracy:  0.930, Validation Accuracy:  0.943, Loss:  0.078
Epoch  17 Batch  115/269 - Train Accuracy:  0.943, Validation Accuracy:  0.943, Loss:  0.070
Epoch  17 Batch  116/269 - Train Accuracy:  0.952, Validation Accuracy:  0.942, Loss:  0.079
Epoch  17 Batch  117/269 - Train Accuracy:  0.941, Validation Accuracy:  0.944, Loss:  0.068
Epoch  17 Batch  118/269 - Train Accuracy:  0.946, Validation Accuracy:  0.947, Loss:  0.069
Epoch  17 Batch  119/269 - Train Accuracy:  0.937, Validation Accuracy:  0.949, Loss:  0.078
Epoch  17 Batch  120/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.076
Epoch  17 Batch  121/269 - Train Accuracy:  0.947, Validation Accuracy:  0.950, Loss:  0.069
Epoch  17 Batch  122/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.074
Epoch  17 Batch  123/269 - Train Accuracy:  0.943, Validation Accuracy:  0.953, Loss:  0.076
Epoch  17 Batch  124/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.070
Epoch  17 Batch  125/269 - Train Accuracy:  0.960, Validation Accuracy:  0.948, Loss:  0.064
Epoch  17 Batch  126/269 - Train Accuracy:  0.939, Validation Accuracy:  0.946, Loss:  0.069
Epoch  17 Batch  127/269 - Train Accuracy:  0.939, Validation Accuracy:  0.945, Loss:  0.073
Epoch  17 Batch  128/269 - Train Accuracy:  0.943, Validation Accuracy:  0.948, Loss:  0.074
Epoch  17 Batch  129/269 - Train Accuracy:  0.937, Validation Accuracy:  0.950, Loss:  0.072
Epoch  17 Batch  130/269 - Train Accuracy:  0.947, Validation Accuracy:  0.950, Loss:  0.075
Epoch  17 Batch  131/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.077
Epoch  17 Batch  132/269 - Train Accuracy:  0.932, Validation Accuracy:  0.951, Loss:  0.078
Epoch  17 Batch  133/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.067
Epoch  17 Batch  134/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.074
Epoch  17 Batch  135/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.072
Epoch  17 Batch  136/269 - Train Accuracy:  0.929, Validation Accuracy:  0.949, Loss:  0.083
Epoch  17 Batch  137/269 - Train Accuracy:  0.936, Validation Accuracy:  0.950, Loss:  0.083
Epoch  17 Batch  138/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.068
Epoch  17 Batch  139/269 - Train Accuracy:  0.937, Validation Accuracy:  0.949, Loss:  0.066
Epoch  17 Batch  140/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.078
Epoch  17 Batch  141/269 - Train Accuracy:  0.936, Validation Accuracy:  0.945, Loss:  0.079
Epoch  17 Batch  142/269 - Train Accuracy:  0.941, Validation Accuracy:  0.946, Loss:  0.074
Epoch  17 Batch  143/269 - Train Accuracy:  0.955, Validation Accuracy:  0.949, Loss:  0.070
Epoch  17 Batch  144/269 - Train Accuracy:  0.951, Validation Accuracy:  0.952, Loss:  0.059
Epoch  17 Batch  145/269 - Train Accuracy:  0.949, Validation Accuracy:  0.952, Loss:  0.067
Epoch  17 Batch  146/269 - Train Accuracy:  0.946, Validation Accuracy:  0.951, Loss:  0.071
Epoch  17 Batch  147/269 - Train Accuracy:  0.940, Validation Accuracy:  0.948, Loss:  0.076
Epoch  17 Batch  148/269 - Train Accuracy:  0.942, Validation Accuracy:  0.949, Loss:  0.073
Epoch  17 Batch  149/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.081
Epoch  17 Batch  150/269 - Train Accuracy:  0.936, Validation Accuracy:  0.948, Loss:  0.079
Epoch  17 Batch  151/269 - Train Accuracy:  0.951, Validation Accuracy:  0.947, Loss:  0.070
Epoch  17 Batch  152/269 - Train Accuracy:  0.943, Validation Accuracy:  0.946, Loss:  0.074
Epoch  17 Batch  153/269 - Train Accuracy:  0.951, Validation Accuracy:  0.944, Loss:  0.074
Epoch  17 Batch  154/269 - Train Accuracy:  0.947, Validation Accuracy:  0.944, Loss:  0.075
Epoch  17 Batch  155/269 - Train Accuracy:  0.939, Validation Accuracy:  0.942, Loss:  0.068
Epoch  17 Batch  156/269 - Train Accuracy:  0.953, Validation Accuracy:  0.946, Loss:  0.073
Epoch  17 Batch  157/269 - Train Accuracy:  0.934, Validation Accuracy:  0.947, Loss:  0.066
Epoch  17 Batch  158/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.068
Epoch  17 Batch  159/269 - Train Accuracy:  0.944, Validation Accuracy:  0.947, Loss:  0.081
Epoch  17 Batch  160/269 - Train Accuracy:  0.938, Validation Accuracy:  0.949, Loss:  0.074
Epoch  17 Batch  161/269 - Train Accuracy:  0.948, Validation Accuracy:  0.951, Loss:  0.068
Epoch  17 Batch  162/269 - Train Accuracy:  0.942, Validation Accuracy:  0.952, Loss:  0.075
Epoch  17 Batch  163/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.074
Epoch  17 Batch  164/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.071
Epoch  17 Batch  165/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.073
Epoch  17 Batch  166/269 - Train Accuracy:  0.949, Validation Accuracy:  0.948, Loss:  0.068
Epoch  17 Batch  167/269 - Train Accuracy:  0.945, Validation Accuracy:  0.948, Loss:  0.068
Epoch  17 Batch  168/269 - Train Accuracy:  0.946, Validation Accuracy:  0.947, Loss:  0.075
Epoch  17 Batch  169/269 - Train Accuracy:  0.936, Validation Accuracy:  0.951, Loss:  0.068
Epoch  17 Batch  170/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.068
Epoch  17 Batch  171/269 - Train Accuracy:  0.958, Validation Accuracy:  0.946, Loss:  0.071
Epoch  17 Batch  172/269 - Train Accuracy:  0.936, Validation Accuracy:  0.945, Loss:  0.077
Epoch  17 Batch  173/269 - Train Accuracy:  0.951, Validation Accuracy:  0.949, Loss:  0.066
Epoch  17 Batch  174/269 - Train Accuracy:  0.957, Validation Accuracy:  0.947, Loss:  0.075
Epoch  17 Batch  175/269 - Train Accuracy:  0.934, Validation Accuracy:  0.946, Loss:  0.081
Epoch  17 Batch  176/269 - Train Accuracy:  0.926, Validation Accuracy:  0.943, Loss:  0.078
Epoch  17 Batch  177/269 - Train Accuracy:  0.943, Validation Accuracy:  0.945, Loss:  0.071
Epoch  17 Batch  178/269 - Train Accuracy:  0.954, Validation Accuracy:  0.947, Loss:  0.068
Epoch  17 Batch  179/269 - Train Accuracy:  0.939, Validation Accuracy:  0.947, Loss:  0.074
Epoch  17 Batch  180/269 - Train Accuracy:  0.952, Validation Accuracy:  0.950, Loss:  0.067
Epoch  17 Batch  181/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.078
Epoch  17 Batch  182/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.070
Epoch  17 Batch  183/269 - Train Accuracy:  0.956, Validation Accuracy:  0.951, Loss:  0.060
Epoch  17 Batch  184/269 - Train Accuracy:  0.950, Validation Accuracy:  0.950, Loss:  0.070
Epoch  17 Batch  185/269 - Train Accuracy:  0.952, Validation Accuracy:  0.950, Loss:  0.073
Epoch  17 Batch  186/269 - Train Accuracy:  0.940, Validation Accuracy:  0.950, Loss:  0.068
Epoch  17 Batch  187/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.068
Epoch  17 Batch  188/269 - Train Accuracy:  0.948, Validation Accuracy:  0.951, Loss:  0.070
Epoch  17 Batch  189/269 - Train Accuracy:  0.950, Validation Accuracy:  0.952, Loss:  0.067
Epoch  17 Batch  190/269 - Train Accuracy:  0.951, Validation Accuracy:  0.950, Loss:  0.065
Epoch  17 Batch  191/269 - Train Accuracy:  0.939, Validation Accuracy:  0.952, Loss:  0.069
Epoch  17 Batch  192/269 - Train Accuracy:  0.943, Validation Accuracy:  0.949, Loss:  0.076
Epoch  17 Batch  193/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.071
Epoch  17 Batch  194/269 - Train Accuracy:  0.936, Validation Accuracy:  0.948, Loss:  0.072
Epoch  17 Batch  195/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.068
Epoch  17 Batch  196/269 - Train Accuracy:  0.945, Validation Accuracy:  0.949, Loss:  0.070
Epoch  17 Batch  197/269 - Train Accuracy:  0.936, Validation Accuracy:  0.949, Loss:  0.077
Epoch  17 Batch  198/269 - Train Accuracy:  0.946, Validation Accuracy:  0.948, Loss:  0.075
Epoch  17 Batch  199/269 - Train Accuracy:  0.944, Validation Accuracy:  0.949, Loss:  0.076
Epoch  17 Batch  200/269 - Train Accuracy:  0.945, Validation Accuracy:  0.949, Loss:  0.072
Epoch  17 Batch  201/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.070
Epoch  17 Batch  202/269 - Train Accuracy:  0.947, Validation Accuracy:  0.951, Loss:  0.074
Epoch  17 Batch  203/269 - Train Accuracy:  0.941, Validation Accuracy:  0.951, Loss:  0.079
Epoch  17 Batch  204/269 - Train Accuracy:  0.951, Validation Accuracy:  0.952, Loss:  0.073
Epoch  17 Batch  205/269 - Train Accuracy:  0.949, Validation Accuracy:  0.950, Loss:  0.068
Epoch  17 Batch  206/269 - Train Accuracy:  0.929, Validation Accuracy:  0.948, Loss:  0.082
Epoch  17 Batch  207/269 - Train Accuracy:  0.939, Validation Accuracy:  0.946, Loss:  0.074
Epoch  17 Batch  208/269 - Train Accuracy:  0.942, Validation Accuracy:  0.947, Loss:  0.078
Epoch  17 Batch  209/269 - Train Accuracy:  0.952, Validation Accuracy:  0.948, Loss:  0.065
Epoch  17 Batch  210/269 - Train Accuracy:  0.947, Validation Accuracy:  0.945, Loss:  0.065
Epoch  17 Batch  211/269 - Train Accuracy:  0.936, Validation Accuracy:  0.947, Loss:  0.072
Epoch  17 Batch  212/269 - Train Accuracy:  0.939, Validation Accuracy:  0.948, Loss:  0.080
Epoch  17 Batch  213/269 - Train Accuracy:  0.936, Validation Accuracy:  0.949, Loss:  0.071
Epoch  17 Batch  214/269 - Train Accuracy:  0.930, Validation Accuracy:  0.949, Loss:  0.077
Epoch  17 Batch  215/269 - Train Accuracy:  0.941, Validation Accuracy:  0.950, Loss:  0.067
Epoch  17 Batch  216/269 - Train Accuracy:  0.941, Validation Accuracy:  0.951, Loss:  0.081
Epoch  17 Batch  217/269 - Train Accuracy:  0.935, Validation Accuracy:  0.951, Loss:  0.073
Epoch  17 Batch  218/269 - Train Accuracy:  0.943, Validation Accuracy:  0.950, Loss:  0.073
Epoch  17 Batch  219/269 - Train Accuracy:  0.942, Validation Accuracy:  0.953, Loss:  0.074
Epoch  17 Batch  220/269 - Train Accuracy:  0.945, Validation Accuracy:  0.953, Loss:  0.068
Epoch  17 Batch  221/269 - Train Accuracy:  0.944, Validation Accuracy:  0.953, Loss:  0.073
Epoch  17 Batch  222/269 - Train Accuracy:  0.957, Validation Accuracy:  0.954, Loss:  0.061
Epoch  17 Batch  223/269 - Train Accuracy:  0.946, Validation Accuracy:  0.953, Loss:  0.063
Epoch  17 Batch  224/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.082
Epoch  17 Batch  225/269 - Train Accuracy:  0.948, Validation Accuracy:  0.954, Loss:  0.069
Epoch  17 Batch  226/269 - Train Accuracy:  0.945, Validation Accuracy:  0.949, Loss:  0.078
Epoch  17 Batch  227/269 - Train Accuracy:  0.957, Validation Accuracy:  0.947, Loss:  0.078
Epoch  17 Batch  228/269 - Train Accuracy:  0.948, Validation Accuracy:  0.945, Loss:  0.068
Epoch  17 Batch  229/269 - Train Accuracy:  0.943, Validation Accuracy:  0.945, Loss:  0.066
Epoch  17 Batch  230/269 - Train Accuracy:  0.953, Validation Accuracy:  0.946, Loss:  0.068
Epoch  17 Batch  231/269 - Train Accuracy:  0.932, Validation Accuracy:  0.948, Loss:  0.070
Epoch  17 Batch  232/269 - Train Accuracy:  0.938, Validation Accuracy:  0.953, Loss:  0.068
Epoch  17 Batch  233/269 - Train Accuracy:  0.956, Validation Accuracy:  0.953, Loss:  0.080
Epoch  17 Batch  234/269 - Train Accuracy:  0.942, Validation Accuracy:  0.954, Loss:  0.069
Epoch  17 Batch  235/269 - Train Accuracy:  0.966, Validation Accuracy:  0.954, Loss:  0.066
Epoch  17 Batch  236/269 - Train Accuracy:  0.938, Validation Accuracy:  0.953, Loss:  0.067
Epoch  17 Batch  237/269 - Train Accuracy:  0.961, Validation Accuracy:  0.948, Loss:  0.064
Epoch  17 Batch  238/269 - Train Accuracy:  0.949, Validation Accuracy:  0.949, Loss:  0.070
Epoch  17 Batch  239/269 - Train Accuracy:  0.945, Validation Accuracy:  0.947, Loss:  0.066
Epoch  17 Batch  240/269 - Train Accuracy:  0.940, Validation Accuracy:  0.947, Loss:  0.065
Epoch  17 Batch  241/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.082
Epoch  17 Batch  242/269 - Train Accuracy:  0.942, Validation Accuracy:  0.947, Loss:  0.067
Epoch  17 Batch  243/269 - Train Accuracy:  0.951, Validation Accuracy:  0.948, Loss:  0.062
Epoch  17 Batch  244/269 - Train Accuracy:  0.936, Validation Accuracy:  0.951, Loss:  0.071
Epoch  17 Batch  245/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.078
Epoch  17 Batch  246/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.075
Epoch  17 Batch  247/269 - Train Accuracy:  0.948, Validation Accuracy:  0.955, Loss:  0.071
Epoch  17 Batch  248/269 - Train Accuracy:  0.953, Validation Accuracy:  0.955, Loss:  0.066
Epoch  17 Batch  249/269 - Train Accuracy:  0.943, Validation Accuracy:  0.955, Loss:  0.058
Epoch  17 Batch  250/269 - Train Accuracy:  0.946, Validation Accuracy:  0.951, Loss:  0.071
Epoch  17 Batch  251/269 - Train Accuracy:  0.954, Validation Accuracy:  0.952, Loss:  0.067
Epoch  17 Batch  252/269 - Train Accuracy:  0.951, Validation Accuracy:  0.953, Loss:  0.063
Epoch  17 Batch  253/269 - Train Accuracy:  0.931, Validation Accuracy:  0.951, Loss:  0.075
Epoch  17 Batch  254/269 - Train Accuracy:  0.956, Validation Accuracy:  0.953, Loss:  0.069
Epoch  17 Batch  255/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.069
Epoch  17 Batch  256/269 - Train Accuracy:  0.945, Validation Accuracy:  0.953, Loss:  0.069
Epoch  17 Batch  257/269 - Train Accuracy:  0.939, Validation Accuracy:  0.953, Loss:  0.072
Epoch  17 Batch  258/269 - Train Accuracy:  0.930, Validation Accuracy:  0.954, Loss:  0.070
Epoch  17 Batch  259/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.069
Epoch  17 Batch  260/269 - Train Accuracy:  0.936, Validation Accuracy:  0.950, Loss:  0.077
Epoch  17 Batch  261/269 - Train Accuracy:  0.947, Validation Accuracy:  0.950, Loss:  0.066
Epoch  17 Batch  262/269 - Train Accuracy:  0.942, Validation Accuracy:  0.949, Loss:  0.067
Epoch  17 Batch  263/269 - Train Accuracy:  0.935, Validation Accuracy:  0.951, Loss:  0.071
Epoch  17 Batch  264/269 - Train Accuracy:  0.920, Validation Accuracy:  0.952, Loss:  0.076
Epoch  17 Batch  265/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.071
Epoch  17 Batch  266/269 - Train Accuracy:  0.949, Validation Accuracy:  0.955, Loss:  0.065
Epoch  17 Batch  267/269 - Train Accuracy:  0.952, Validation Accuracy:  0.955, Loss:  0.076
Epoch  18 Batch    0/269 - Train Accuracy:  0.953, Validation Accuracy:  0.953, Loss:  0.076
Epoch  18 Batch    1/269 - Train Accuracy:  0.939, Validation Accuracy:  0.951, Loss:  0.070
Epoch  18 Batch    2/269 - Train Accuracy:  0.944, Validation Accuracy:  0.954, Loss:  0.069
Epoch  18 Batch    3/269 - Train Accuracy:  0.947, Validation Accuracy:  0.954, Loss:  0.068
Epoch  18 Batch    4/269 - Train Accuracy:  0.936, Validation Accuracy:  0.958, Loss:  0.070
Epoch  18 Batch    5/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.071
Epoch  18 Batch    6/269 - Train Accuracy:  0.952, Validation Accuracy:  0.951, Loss:  0.066
Epoch  18 Batch    7/269 - Train Accuracy:  0.942, Validation Accuracy:  0.945, Loss:  0.065
Epoch  18 Batch    8/269 - Train Accuracy:  0.954, Validation Accuracy:  0.946, Loss:  0.068
Epoch  18 Batch    9/269 - Train Accuracy:  0.942, Validation Accuracy:  0.947, Loss:  0.072
Epoch  18 Batch   10/269 - Train Accuracy:  0.946, Validation Accuracy:  0.947, Loss:  0.060
Epoch  18 Batch   11/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.071
Epoch  18 Batch   12/269 - Train Accuracy:  0.934, Validation Accuracy:  0.949, Loss:  0.077
Epoch  18 Batch   13/269 - Train Accuracy:  0.951, Validation Accuracy:  0.954, Loss:  0.060
Epoch  18 Batch   14/269 - Train Accuracy:  0.949, Validation Accuracy:  0.956, Loss:  0.069
Epoch  18 Batch   15/269 - Train Accuracy:  0.956, Validation Accuracy:  0.955, Loss:  0.058
Epoch  18 Batch   16/269 - Train Accuracy:  0.925, Validation Accuracy:  0.958, Loss:  0.075
Epoch  18 Batch   17/269 - Train Accuracy:  0.952, Validation Accuracy:  0.957, Loss:  0.058
Epoch  18 Batch   18/269 - Train Accuracy:  0.938, Validation Accuracy:  0.956, Loss:  0.072
Epoch  18 Batch   19/269 - Train Accuracy:  0.954, Validation Accuracy:  0.958, Loss:  0.063
Epoch  18 Batch   20/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.067
Epoch  18 Batch   21/269 - Train Accuracy:  0.936, Validation Accuracy:  0.953, Loss:  0.075
Epoch  18 Batch   22/269 - Train Accuracy:  0.954, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch   23/269 - Train Accuracy:  0.937, Validation Accuracy:  0.953, Loss:  0.075
Epoch  18 Batch   24/269 - Train Accuracy:  0.947, Validation Accuracy:  0.951, Loss:  0.067
Epoch  18 Batch   25/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.073
Epoch  18 Batch   26/269 - Train Accuracy:  0.944, Validation Accuracy:  0.956, Loss:  0.062
Epoch  18 Batch   27/269 - Train Accuracy:  0.938, Validation Accuracy:  0.955, Loss:  0.065
Epoch  18 Batch   28/269 - Train Accuracy:  0.923, Validation Accuracy:  0.955, Loss:  0.071
Epoch  18 Batch   29/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.076
Epoch  18 Batch   30/269 - Train Accuracy:  0.943, Validation Accuracy:  0.953, Loss:  0.068
Epoch  18 Batch   31/269 - Train Accuracy:  0.951, Validation Accuracy:  0.951, Loss:  0.067
Epoch  18 Batch   32/269 - Train Accuracy:  0.948, Validation Accuracy:  0.950, Loss:  0.065
Epoch  18 Batch   33/269 - Train Accuracy:  0.937, Validation Accuracy:  0.950, Loss:  0.061
Epoch  18 Batch   34/269 - Train Accuracy:  0.948, Validation Accuracy:  0.954, Loss:  0.069
Epoch  18 Batch   35/269 - Train Accuracy:  0.945, Validation Accuracy:  0.959, Loss:  0.079
Epoch  18 Batch   36/269 - Train Accuracy:  0.948, Validation Accuracy:  0.958, Loss:  0.063
Epoch  18 Batch   37/269 - Train Accuracy:  0.942, Validation Accuracy:  0.954, Loss:  0.069
Epoch  18 Batch   38/269 - Train Accuracy:  0.941, Validation Accuracy:  0.951, Loss:  0.069
Epoch  18 Batch   39/269 - Train Accuracy:  0.938, Validation Accuracy:  0.950, Loss:  0.063
Epoch  18 Batch   40/269 - Train Accuracy:  0.938, Validation Accuracy:  0.949, Loss:  0.069
Epoch  18 Batch   41/269 - Train Accuracy:  0.940, Validation Accuracy:  0.954, Loss:  0.071
Epoch  18 Batch   42/269 - Train Accuracy:  0.959, Validation Accuracy:  0.953, Loss:  0.063
Epoch  18 Batch   43/269 - Train Accuracy:  0.943, Validation Accuracy:  0.950, Loss:  0.070
Epoch  18 Batch   44/269 - Train Accuracy:  0.953, Validation Accuracy:  0.946, Loss:  0.069
Epoch  18 Batch   45/269 - Train Accuracy:  0.933, Validation Accuracy:  0.943, Loss:  0.071
Epoch  18 Batch   46/269 - Train Accuracy:  0.947, Validation Accuracy:  0.946, Loss:  0.067
Epoch  18 Batch   47/269 - Train Accuracy:  0.954, Validation Accuracy:  0.951, Loss:  0.061
Epoch  18 Batch   48/269 - Train Accuracy:  0.955, Validation Accuracy:  0.950, Loss:  0.063
Epoch  18 Batch   49/269 - Train Accuracy:  0.950, Validation Accuracy:  0.951, Loss:  0.067
Epoch  18 Batch   50/269 - Train Accuracy:  0.934, Validation Accuracy:  0.949, Loss:  0.079
Epoch  18 Batch   51/269 - Train Accuracy:  0.949, Validation Accuracy:  0.950, Loss:  0.065
Epoch  18 Batch   52/269 - Train Accuracy:  0.938, Validation Accuracy:  0.950, Loss:  0.060
Epoch  18 Batch   53/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.073
Epoch  18 Batch   54/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.068
Epoch  18 Batch   55/269 - Train Accuracy:  0.947, Validation Accuracy:  0.948, Loss:  0.068
Epoch  18 Batch   56/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.071
Epoch  18 Batch   57/269 - Train Accuracy:  0.939, Validation Accuracy:  0.949, Loss:  0.079
Epoch  18 Batch   58/269 - Train Accuracy:  0.948, Validation Accuracy:  0.949, Loss:  0.068
Epoch  18 Batch   59/269 - Train Accuracy:  0.953, Validation Accuracy:  0.951, Loss:  0.054
Epoch  18 Batch   60/269 - Train Accuracy:  0.944, Validation Accuracy:  0.951, Loss:  0.064
Epoch  18 Batch   61/269 - Train Accuracy:  0.953, Validation Accuracy:  0.954, Loss:  0.066
Epoch  18 Batch   62/269 - Train Accuracy:  0.930, Validation Accuracy:  0.955, Loss:  0.072
Epoch  18 Batch   63/269 - Train Accuracy:  0.942, Validation Accuracy:  0.955, Loss:  0.072
Epoch  18 Batch   64/269 - Train Accuracy:  0.945, Validation Accuracy:  0.955, Loss:  0.062
Epoch  18 Batch   65/269 - Train Accuracy:  0.940, Validation Accuracy:  0.954, Loss:  0.066
Epoch  18 Batch   66/269 - Train Accuracy:  0.942, Validation Accuracy:  0.955, Loss:  0.068
Epoch  18 Batch   67/269 - Train Accuracy:  0.944, Validation Accuracy:  0.955, Loss:  0.072
Epoch  18 Batch   68/269 - Train Accuracy:  0.941, Validation Accuracy:  0.955, Loss:  0.075
Epoch  18 Batch   69/269 - Train Accuracy:  0.922, Validation Accuracy:  0.950, Loss:  0.084
Epoch  18 Batch   70/269 - Train Accuracy:  0.951, Validation Accuracy:  0.945, Loss:  0.071
Epoch  18 Batch   71/269 - Train Accuracy:  0.942, Validation Accuracy:  0.946, Loss:  0.073
Epoch  18 Batch   72/269 - Train Accuracy:  0.949, Validation Accuracy:  0.949, Loss:  0.076
Epoch  18 Batch   73/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.076
Epoch  18 Batch   74/269 - Train Accuracy:  0.954, Validation Accuracy:  0.949, Loss:  0.066
Epoch  18 Batch   75/269 - Train Accuracy:  0.943, Validation Accuracy:  0.948, Loss:  0.071
Epoch  18 Batch   76/269 - Train Accuracy:  0.947, Validation Accuracy:  0.950, Loss:  0.069
Epoch  18 Batch   77/269 - Train Accuracy:  0.952, Validation Accuracy:  0.950, Loss:  0.066
Epoch  18 Batch   78/269 - Train Accuracy:  0.948, Validation Accuracy:  0.950, Loss:  0.068
Epoch  18 Batch   79/269 - Train Accuracy:  0.936, Validation Accuracy:  0.950, Loss:  0.069
Epoch  18 Batch   80/269 - Train Accuracy:  0.953, Validation Accuracy:  0.951, Loss:  0.071
Epoch  18 Batch   81/269 - Train Accuracy:  0.943, Validation Accuracy:  0.953, Loss:  0.077
Epoch  18 Batch   82/269 - Train Accuracy:  0.952, Validation Accuracy:  0.954, Loss:  0.061
Epoch  18 Batch   83/269 - Train Accuracy:  0.935, Validation Accuracy:  0.955, Loss:  0.073
Epoch  18 Batch   84/269 - Train Accuracy:  0.948, Validation Accuracy:  0.952, Loss:  0.067
Epoch  18 Batch   85/269 - Train Accuracy:  0.940, Validation Accuracy:  0.952, Loss:  0.065
Epoch  18 Batch   86/269 - Train Accuracy:  0.957, Validation Accuracy:  0.952, Loss:  0.062
Epoch  18 Batch   87/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.073
Epoch  18 Batch   88/269 - Train Accuracy:  0.929, Validation Accuracy:  0.951, Loss:  0.074
Epoch  18 Batch   89/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.066
Epoch  18 Batch   90/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.069
Epoch  18 Batch   91/269 - Train Accuracy:  0.949, Validation Accuracy:  0.950, Loss:  0.064
Epoch  18 Batch   92/269 - Train Accuracy:  0.956, Validation Accuracy:  0.948, Loss:  0.057
Epoch  18 Batch   93/269 - Train Accuracy:  0.953, Validation Accuracy:  0.946, Loss:  0.068
Epoch  18 Batch   94/269 - Train Accuracy:  0.948, Validation Accuracy:  0.945, Loss:  0.076
Epoch  18 Batch   95/269 - Train Accuracy:  0.950, Validation Accuracy:  0.949, Loss:  0.066
Epoch  18 Batch   96/269 - Train Accuracy:  0.932, Validation Accuracy:  0.946, Loss:  0.070
Epoch  18 Batch   97/269 - Train Accuracy:  0.943, Validation Accuracy:  0.947, Loss:  0.077
Epoch  18 Batch   98/269 - Train Accuracy:  0.951, Validation Accuracy:  0.949, Loss:  0.069
Epoch  18 Batch   99/269 - Train Accuracy:  0.945, Validation Accuracy:  0.944, Loss:  0.071
Epoch  18 Batch  100/269 - Train Accuracy:  0.947, Validation Accuracy:  0.943, Loss:  0.068
Epoch  18 Batch  101/269 - Train Accuracy:  0.942, Validation Accuracy:  0.942, Loss:  0.083
Epoch  18 Batch  102/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.065
Epoch  18 Batch  103/269 - Train Accuracy:  0.947, Validation Accuracy:  0.953, Loss:  0.075
Epoch  18 Batch  104/269 - Train Accuracy:  0.956, Validation Accuracy:  0.952, Loss:  0.064
Epoch  18 Batch  105/269 - Train Accuracy:  0.941, Validation Accuracy:  0.953, Loss:  0.073
Epoch  18 Batch  106/269 - Train Accuracy:  0.960, Validation Accuracy:  0.949, Loss:  0.059
Epoch  18 Batch  107/269 - Train Accuracy:  0.963, Validation Accuracy:  0.951, Loss:  0.072
Epoch  18 Batch  108/269 - Train Accuracy:  0.955, Validation Accuracy:  0.949, Loss:  0.064
Epoch  18 Batch  109/269 - Train Accuracy:  0.929, Validation Accuracy:  0.948, Loss:  0.074
Epoch  18 Batch  110/269 - Train Accuracy:  0.941, Validation Accuracy:  0.950, Loss:  0.067
Epoch  18 Batch  111/269 - Train Accuracy:  0.934, Validation Accuracy:  0.950, Loss:  0.071
Epoch  18 Batch  112/269 - Train Accuracy:  0.951, Validation Accuracy:  0.948, Loss:  0.069
Epoch  18 Batch  113/269 - Train Accuracy:  0.938, Validation Accuracy:  0.949, Loss:  0.067
Epoch  18 Batch  114/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.067
Epoch  18 Batch  115/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.065
Epoch  18 Batch  116/269 - Train Accuracy:  0.955, Validation Accuracy:  0.946, Loss:  0.071
Epoch  18 Batch  117/269 - Train Accuracy:  0.949, Validation Accuracy:  0.945, Loss:  0.060
Epoch  18 Batch  118/269 - Train Accuracy:  0.953, Validation Accuracy:  0.945, Loss:  0.063
Epoch  18 Batch  119/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.073
Epoch  18 Batch  120/269 - Train Accuracy:  0.941, Validation Accuracy:  0.947, Loss:  0.069
Epoch  18 Batch  121/269 - Train Accuracy:  0.955, Validation Accuracy:  0.947, Loss:  0.061
Epoch  18 Batch  122/269 - Train Accuracy:  0.951, Validation Accuracy:  0.950, Loss:  0.069
Epoch  18 Batch  123/269 - Train Accuracy:  0.946, Validation Accuracy:  0.946, Loss:  0.070
Epoch  18 Batch  124/269 - Train Accuracy:  0.949, Validation Accuracy:  0.949, Loss:  0.057
Epoch  18 Batch  125/269 - Train Accuracy:  0.959, Validation Accuracy:  0.951, Loss:  0.057
Epoch  18 Batch  126/269 - Train Accuracy:  0.939, Validation Accuracy:  0.951, Loss:  0.069
Epoch  18 Batch  127/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.066
Epoch  18 Batch  128/269 - Train Accuracy:  0.946, Validation Accuracy:  0.950, Loss:  0.064
Epoch  18 Batch  129/269 - Train Accuracy:  0.928, Validation Accuracy:  0.951, Loss:  0.070
Epoch  18 Batch  130/269 - Train Accuracy:  0.950, Validation Accuracy:  0.951, Loss:  0.074
Epoch  18 Batch  131/269 - Train Accuracy:  0.933, Validation Accuracy:  0.953, Loss:  0.070
Epoch  18 Batch  132/269 - Train Accuracy:  0.937, Validation Accuracy:  0.952, Loss:  0.065
Epoch  18 Batch  133/269 - Train Accuracy:  0.944, Validation Accuracy:  0.951, Loss:  0.062
Epoch  18 Batch  134/269 - Train Accuracy:  0.940, Validation Accuracy:  0.949, Loss:  0.067
Epoch  18 Batch  135/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.066
Epoch  18 Batch  136/269 - Train Accuracy:  0.928, Validation Accuracy:  0.949, Loss:  0.074
Epoch  18 Batch  137/269 - Train Accuracy:  0.938, Validation Accuracy:  0.949, Loss:  0.079
Epoch  18 Batch  138/269 - Train Accuracy:  0.950, Validation Accuracy:  0.949, Loss:  0.067
Epoch  18 Batch  139/269 - Train Accuracy:  0.948, Validation Accuracy:  0.950, Loss:  0.066
Epoch  18 Batch  140/269 - Train Accuracy:  0.944, Validation Accuracy:  0.949, Loss:  0.070
Epoch  18 Batch  141/269 - Train Accuracy:  0.945, Validation Accuracy:  0.949, Loss:  0.073
Epoch  18 Batch  142/269 - Train Accuracy:  0.940, Validation Accuracy:  0.948, Loss:  0.067
Epoch  18 Batch  143/269 - Train Accuracy:  0.954, Validation Accuracy:  0.947, Loss:  0.060
Epoch  18 Batch  144/269 - Train Accuracy:  0.960, Validation Accuracy:  0.949, Loss:  0.057
Epoch  18 Batch  145/269 - Train Accuracy:  0.958, Validation Accuracy:  0.947, Loss:  0.065
Epoch  18 Batch  146/269 - Train Accuracy:  0.943, Validation Accuracy:  0.947, Loss:  0.068
Epoch  18 Batch  147/269 - Train Accuracy:  0.940, Validation Accuracy:  0.947, Loss:  0.071
Epoch  18 Batch  148/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.070
Epoch  18 Batch  149/269 - Train Accuracy:  0.937, Validation Accuracy:  0.943, Loss:  0.077
Epoch  18 Batch  150/269 - Train Accuracy:  0.946, Validation Accuracy:  0.943, Loss:  0.071
Epoch  18 Batch  151/269 - Train Accuracy:  0.951, Validation Accuracy:  0.944, Loss:  0.064
Epoch  18 Batch  152/269 - Train Accuracy:  0.942, Validation Accuracy:  0.943, Loss:  0.068
Epoch  18 Batch  153/269 - Train Accuracy:  0.953, Validation Accuracy:  0.943, Loss:  0.062
Epoch  18 Batch  154/269 - Train Accuracy:  0.957, Validation Accuracy:  0.943, Loss:  0.067
Epoch  18 Batch  155/269 - Train Accuracy:  0.941, Validation Accuracy:  0.942, Loss:  0.065
Epoch  18 Batch  156/269 - Train Accuracy:  0.954, Validation Accuracy:  0.944, Loss:  0.071
Epoch  18 Batch  157/269 - Train Accuracy:  0.941, Validation Accuracy:  0.944, Loss:  0.062
Epoch  18 Batch  158/269 - Train Accuracy:  0.947, Validation Accuracy:  0.944, Loss:  0.066
Epoch  18 Batch  159/269 - Train Accuracy:  0.951, Validation Accuracy:  0.947, Loss:  0.070
Epoch  18 Batch  160/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.071
Epoch  18 Batch  161/269 - Train Accuracy:  0.957, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  162/269 - Train Accuracy:  0.950, Validation Accuracy:  0.954, Loss:  0.063
Epoch  18 Batch  163/269 - Train Accuracy:  0.946, Validation Accuracy:  0.956, Loss:  0.064
Epoch  18 Batch  164/269 - Train Accuracy:  0.954, Validation Accuracy:  0.957, Loss:  0.063
Epoch  18 Batch  165/269 - Train Accuracy:  0.947, Validation Accuracy:  0.955, Loss:  0.062
Epoch  18 Batch  166/269 - Train Accuracy:  0.953, Validation Accuracy:  0.955, Loss:  0.068
Epoch  18 Batch  167/269 - Train Accuracy:  0.941, Validation Accuracy:  0.955, Loss:  0.066
Epoch  18 Batch  168/269 - Train Accuracy:  0.953, Validation Accuracy:  0.955, Loss:  0.068
Epoch  18 Batch  169/269 - Train Accuracy:  0.940, Validation Accuracy:  0.956, Loss:  0.069
Epoch  18 Batch  170/269 - Train Accuracy:  0.945, Validation Accuracy:  0.957, Loss:  0.062
Epoch  18 Batch  171/269 - Train Accuracy:  0.955, Validation Accuracy:  0.955, Loss:  0.068
Epoch  18 Batch  172/269 - Train Accuracy:  0.943, Validation Accuracy:  0.956, Loss:  0.073
Epoch  18 Batch  173/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.063
Epoch  18 Batch  174/269 - Train Accuracy:  0.953, Validation Accuracy:  0.953, Loss:  0.067
Epoch  18 Batch  175/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.075
Epoch  18 Batch  176/269 - Train Accuracy:  0.933, Validation Accuracy:  0.949, Loss:  0.078
Epoch  18 Batch  177/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.066
Epoch  18 Batch  178/269 - Train Accuracy:  0.954, Validation Accuracy:  0.951, Loss:  0.059
Epoch  18 Batch  179/269 - Train Accuracy:  0.939, Validation Accuracy:  0.949, Loss:  0.067
Epoch  18 Batch  180/269 - Train Accuracy:  0.951, Validation Accuracy:  0.951, Loss:  0.064
Epoch  18 Batch  181/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.077
Epoch  18 Batch  182/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.069
Epoch  18 Batch  183/269 - Train Accuracy:  0.958, Validation Accuracy:  0.954, Loss:  0.054
Epoch  18 Batch  184/269 - Train Accuracy:  0.941, Validation Accuracy:  0.956, Loss:  0.063
Epoch  18 Batch  185/269 - Train Accuracy:  0.953, Validation Accuracy:  0.954, Loss:  0.064
Epoch  18 Batch  186/269 - Train Accuracy:  0.945, Validation Accuracy:  0.953, Loss:  0.060
Epoch  18 Batch  187/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.064
Epoch  18 Batch  188/269 - Train Accuracy:  0.948, Validation Accuracy:  0.949, Loss:  0.063
Epoch  18 Batch  189/269 - Train Accuracy:  0.952, Validation Accuracy:  0.949, Loss:  0.063
Epoch  18 Batch  190/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.064
Epoch  18 Batch  191/269 - Train Accuracy:  0.935, Validation Accuracy:  0.951, Loss:  0.063
Epoch  18 Batch  192/269 - Train Accuracy:  0.937, Validation Accuracy:  0.954, Loss:  0.069
Epoch  18 Batch  193/269 - Train Accuracy:  0.948, Validation Accuracy:  0.954, Loss:  0.064
Epoch  18 Batch  194/269 - Train Accuracy:  0.939, Validation Accuracy:  0.955, Loss:  0.067
Epoch  18 Batch  195/269 - Train Accuracy:  0.943, Validation Accuracy:  0.953, Loss:  0.067
Epoch  18 Batch  196/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.066
Epoch  18 Batch  197/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.068
Epoch  18 Batch  198/269 - Train Accuracy:  0.949, Validation Accuracy:  0.954, Loss:  0.070
Epoch  18 Batch  199/269 - Train Accuracy:  0.946, Validation Accuracy:  0.953, Loss:  0.071
Epoch  18 Batch  200/269 - Train Accuracy:  0.937, Validation Accuracy:  0.954, Loss:  0.069
Epoch  18 Batch  201/269 - Train Accuracy:  0.947, Validation Accuracy:  0.954, Loss:  0.070
Epoch  18 Batch  202/269 - Train Accuracy:  0.950, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  203/269 - Train Accuracy:  0.949, Validation Accuracy:  0.952, Loss:  0.073
Epoch  18 Batch  204/269 - Train Accuracy:  0.955, Validation Accuracy:  0.951, Loss:  0.074
Epoch  18 Batch  205/269 - Train Accuracy:  0.947, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  206/269 - Train Accuracy:  0.931, Validation Accuracy:  0.951, Loss:  0.071
Epoch  18 Batch  207/269 - Train Accuracy:  0.940, Validation Accuracy:  0.952, Loss:  0.064
Epoch  18 Batch  208/269 - Train Accuracy:  0.948, Validation Accuracy:  0.953, Loss:  0.072
Epoch  18 Batch  209/269 - Train Accuracy:  0.960, Validation Accuracy:  0.952, Loss:  0.062
Epoch  18 Batch  210/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.059
Epoch  18 Batch  211/269 - Train Accuracy:  0.941, Validation Accuracy:  0.951, Loss:  0.071
Epoch  18 Batch  212/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.071
Epoch  18 Batch  213/269 - Train Accuracy:  0.938, Validation Accuracy:  0.951, Loss:  0.063
Epoch  18 Batch  214/269 - Train Accuracy:  0.933, Validation Accuracy:  0.951, Loss:  0.068
Epoch  18 Batch  215/269 - Train Accuracy:  0.948, Validation Accuracy:  0.951, Loss:  0.065
Epoch  18 Batch  216/269 - Train Accuracy:  0.942, Validation Accuracy:  0.951, Loss:  0.074
Epoch  18 Batch  217/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.074
Epoch  18 Batch  218/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.065
Epoch  18 Batch  219/269 - Train Accuracy:  0.951, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  220/269 - Train Accuracy:  0.945, Validation Accuracy:  0.955, Loss:  0.063
Epoch  18 Batch  221/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.067
Epoch  18 Batch  222/269 - Train Accuracy:  0.958, Validation Accuracy:  0.953, Loss:  0.058
Epoch  18 Batch  223/269 - Train Accuracy:  0.948, Validation Accuracy:  0.954, Loss:  0.062
Epoch  18 Batch  224/269 - Train Accuracy:  0.944, Validation Accuracy:  0.954, Loss:  0.076
Epoch  18 Batch  225/269 - Train Accuracy:  0.948, Validation Accuracy:  0.952, Loss:  0.060
Epoch  18 Batch  226/269 - Train Accuracy:  0.952, Validation Accuracy:  0.952, Loss:  0.068
Epoch  18 Batch  227/269 - Train Accuracy:  0.954, Validation Accuracy:  0.952, Loss:  0.072
Epoch  18 Batch  228/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  229/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.060
Epoch  18 Batch  230/269 - Train Accuracy:  0.957, Validation Accuracy:  0.952, Loss:  0.067
Epoch  18 Batch  231/269 - Train Accuracy:  0.934, Validation Accuracy:  0.951, Loss:  0.068
Epoch  18 Batch  232/269 - Train Accuracy:  0.944, Validation Accuracy:  0.951, Loss:  0.063
Epoch  18 Batch  233/269 - Train Accuracy:  0.960, Validation Accuracy:  0.951, Loss:  0.072
Epoch  18 Batch  234/269 - Train Accuracy:  0.948, Validation Accuracy:  0.951, Loss:  0.065
Epoch  18 Batch  235/269 - Train Accuracy:  0.971, Validation Accuracy:  0.952, Loss:  0.056
Epoch  18 Batch  236/269 - Train Accuracy:  0.939, Validation Accuracy:  0.950, Loss:  0.062
Epoch  18 Batch  237/269 - Train Accuracy:  0.959, Validation Accuracy:  0.954, Loss:  0.060
Epoch  18 Batch  238/269 - Train Accuracy:  0.947, Validation Accuracy:  0.953, Loss:  0.065
Epoch  18 Batch  239/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.061
Epoch  18 Batch  240/269 - Train Accuracy:  0.951, Validation Accuracy:  0.950, Loss:  0.061
Epoch  18 Batch  241/269 - Train Accuracy:  0.940, Validation Accuracy:  0.950, Loss:  0.076
Epoch  18 Batch  242/269 - Train Accuracy:  0.947, Validation Accuracy:  0.951, Loss:  0.063
Epoch  18 Batch  243/269 - Train Accuracy:  0.949, Validation Accuracy:  0.947, Loss:  0.057
Epoch  18 Batch  244/269 - Train Accuracy:  0.938, Validation Accuracy:  0.950, Loss:  0.065
Epoch  18 Batch  245/269 - Train Accuracy:  0.946, Validation Accuracy:  0.950, Loss:  0.069
Epoch  18 Batch  246/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.065
Epoch  18 Batch  247/269 - Train Accuracy:  0.950, Validation Accuracy:  0.952, Loss:  0.060
Epoch  18 Batch  248/269 - Train Accuracy:  0.956, Validation Accuracy:  0.953, Loss:  0.059
Epoch  18 Batch  249/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.060
Epoch  18 Batch  250/269 - Train Accuracy:  0.949, Validation Accuracy:  0.952, Loss:  0.067
Epoch  18 Batch  251/269 - Train Accuracy:  0.958, Validation Accuracy:  0.950, Loss:  0.064
Epoch  18 Batch  252/269 - Train Accuracy:  0.951, Validation Accuracy:  0.954, Loss:  0.060
Epoch  18 Batch  253/269 - Train Accuracy:  0.936, Validation Accuracy:  0.953, Loss:  0.066
Epoch  18 Batch  254/269 - Train Accuracy:  0.957, Validation Accuracy:  0.955, Loss:  0.064
Epoch  18 Batch  255/269 - Train Accuracy:  0.940, Validation Accuracy:  0.953, Loss:  0.067
Epoch  18 Batch  256/269 - Train Accuracy:  0.949, Validation Accuracy:  0.957, Loss:  0.066
Epoch  18 Batch  257/269 - Train Accuracy:  0.939, Validation Accuracy:  0.956, Loss:  0.066
Epoch  18 Batch  258/269 - Train Accuracy:  0.937, Validation Accuracy:  0.955, Loss:  0.067
Epoch  18 Batch  259/269 - Train Accuracy:  0.952, Validation Accuracy:  0.955, Loss:  0.061
Epoch  18 Batch  260/269 - Train Accuracy:  0.947, Validation Accuracy:  0.955, Loss:  0.068
Epoch  18 Batch  261/269 - Train Accuracy:  0.952, Validation Accuracy:  0.955, Loss:  0.066
Epoch  18 Batch  262/269 - Train Accuracy:  0.948, Validation Accuracy:  0.959, Loss:  0.070
Epoch  18 Batch  263/269 - Train Accuracy:  0.948, Validation Accuracy:  0.957, Loss:  0.063
Epoch  18 Batch  264/269 - Train Accuracy:  0.926, Validation Accuracy:  0.957, Loss:  0.070
Epoch  18 Batch  265/269 - Train Accuracy:  0.948, Validation Accuracy:  0.957, Loss:  0.066
Epoch  18 Batch  266/269 - Train Accuracy:  0.944, Validation Accuracy:  0.956, Loss:  0.060
Epoch  18 Batch  267/269 - Train Accuracy:  0.956, Validation Accuracy:  0.959, Loss:  0.070
Epoch  19 Batch    0/269 - Train Accuracy:  0.959, Validation Accuracy:  0.958, Loss:  0.068
Epoch  19 Batch    1/269 - Train Accuracy:  0.947, Validation Accuracy:  0.956, Loss:  0.068
Epoch  19 Batch    2/269 - Train Accuracy:  0.950, Validation Accuracy:  0.955, Loss:  0.066
Epoch  19 Batch    3/269 - Train Accuracy:  0.948, Validation Accuracy:  0.956, Loss:  0.066
Epoch  19 Batch    4/269 - Train Accuracy:  0.937, Validation Accuracy:  0.953, Loss:  0.068
Epoch  19 Batch    5/269 - Train Accuracy:  0.949, Validation Accuracy:  0.949, Loss:  0.065
Epoch  19 Batch    6/269 - Train Accuracy:  0.948, Validation Accuracy:  0.952, Loss:  0.062
Epoch  19 Batch    7/269 - Train Accuracy:  0.950, Validation Accuracy:  0.951, Loss:  0.066
Epoch  19 Batch    8/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.066
Epoch  19 Batch    9/269 - Train Accuracy:  0.947, Validation Accuracy:  0.954, Loss:  0.067
Epoch  19 Batch   10/269 - Train Accuracy:  0.949, Validation Accuracy:  0.956, Loss:  0.056
Epoch  19 Batch   11/269 - Train Accuracy:  0.944, Validation Accuracy:  0.953, Loss:  0.074
Epoch  19 Batch   12/269 - Train Accuracy:  0.935, Validation Accuracy:  0.953, Loss:  0.074
Epoch  19 Batch   13/269 - Train Accuracy:  0.949, Validation Accuracy:  0.952, Loss:  0.061
Epoch  19 Batch   14/269 - Train Accuracy:  0.954, Validation Accuracy:  0.953, Loss:  0.063
Epoch  19 Batch   15/269 - Train Accuracy:  0.952, Validation Accuracy:  0.952, Loss:  0.056
Epoch  19 Batch   16/269 - Train Accuracy:  0.931, Validation Accuracy:  0.954, Loss:  0.075
Epoch  19 Batch   17/269 - Train Accuracy:  0.953, Validation Accuracy:  0.956, Loss:  0.057
Epoch  19 Batch   18/269 - Train Accuracy:  0.944, Validation Accuracy:  0.957, Loss:  0.068
Epoch  19 Batch   19/269 - Train Accuracy:  0.951, Validation Accuracy:  0.955, Loss:  0.055
Epoch  19 Batch   20/269 - Train Accuracy:  0.953, Validation Accuracy:  0.953, Loss:  0.061
Epoch  19 Batch   21/269 - Train Accuracy:  0.940, Validation Accuracy:  0.951, Loss:  0.066
Epoch  19 Batch   22/269 - Train Accuracy:  0.957, Validation Accuracy:  0.949, Loss:  0.061
Epoch  19 Batch   23/269 - Train Accuracy:  0.938, Validation Accuracy:  0.952, Loss:  0.070
Epoch  19 Batch   24/269 - Train Accuracy:  0.954, Validation Accuracy:  0.952, Loss:  0.061
Epoch  19 Batch   25/269 - Train Accuracy:  0.949, Validation Accuracy:  0.951, Loss:  0.069
Epoch  19 Batch   26/269 - Train Accuracy:  0.941, Validation Accuracy:  0.951, Loss:  0.054
Epoch  19 Batch   27/269 - Train Accuracy:  0.941, Validation Accuracy:  0.950, Loss:  0.061
Epoch  19 Batch   28/269 - Train Accuracy:  0.934, Validation Accuracy:  0.949, Loss:  0.076
Epoch  19 Batch   29/269 - Train Accuracy:  0.948, Validation Accuracy:  0.952, Loss:  0.066
Epoch  19 Batch   30/269 - Train Accuracy:  0.944, Validation Accuracy:  0.950, Loss:  0.064
Epoch  19 Batch   31/269 - Train Accuracy:  0.951, Validation Accuracy:  0.953, Loss:  0.068
Epoch  19 Batch   32/269 - Train Accuracy:  0.953, Validation Accuracy:  0.954, Loss:  0.059
Epoch  19 Batch   33/269 - Train Accuracy:  0.936, Validation Accuracy:  0.953, Loss:  0.061
Epoch  19 Batch   34/269 - Train Accuracy:  0.950, Validation Accuracy:  0.954, Loss:  0.063
Epoch  19 Batch   35/269 - Train Accuracy:  0.940, Validation Accuracy:  0.952, Loss:  0.074
Epoch  19 Batch   36/269 - Train Accuracy:  0.952, Validation Accuracy:  0.951, Loss:  0.062
Epoch  19 Batch   37/269 - Train Accuracy:  0.941, Validation Accuracy:  0.953, Loss:  0.068
Epoch  19 Batch   38/269 - Train Accuracy:  0.941, Validation Accuracy:  0.952, Loss:  0.066
Epoch  19 Batch   39/269 - Train Accuracy:  0.942, Validation Accuracy:  0.952, Loss:  0.061
Epoch  19 Batch   40/269 - Train Accuracy:  0.939, Validation Accuracy:  0.949, Loss:  0.069
Epoch  19 Batch   41/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.068
Epoch  19 Batch   42/269 - Train Accuracy:  0.963, Validation Accuracy:  0.949, Loss:  0.058
Epoch  19 Batch   43/269 - Train Accuracy:  0.957, Validation Accuracy:  0.950, Loss:  0.069
Epoch  19 Batch   44/269 - Train Accuracy:  0.950, Validation Accuracy:  0.953, Loss:  0.071
Epoch  19 Batch   45/269 - Train Accuracy:  0.947, Validation Accuracy:  0.953, Loss:  0.068
Epoch  19 Batch   46/269 - Train Accuracy:  0.954, Validation Accuracy:  0.953, Loss:  0.062
Epoch  19 Batch   47/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.057
Epoch  19 Batch   48/269 - Train Accuracy:  0.956, Validation Accuracy:  0.952, Loss:  0.062
Epoch  19 Batch   49/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.064
Epoch  19 Batch   50/269 - Train Accuracy:  0.931, Validation Accuracy:  0.949, Loss:  0.074
Epoch  19 Batch   51/269 - Train Accuracy:  0.951, Validation Accuracy:  0.950, Loss:  0.061
Epoch  19 Batch   52/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.055
Epoch  19 Batch   53/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.072
Epoch  19 Batch   54/269 - Train Accuracy:  0.952, Validation Accuracy:  0.949, Loss:  0.061
Epoch  19 Batch   55/269 - Train Accuracy:  0.946, Validation Accuracy:  0.952, Loss:  0.063
Epoch  19 Batch   56/269 - Train Accuracy:  0.947, Validation Accuracy:  0.954, Loss:  0.067
Epoch  19 Batch   57/269 - Train Accuracy:  0.946, Validation Accuracy:  0.954, Loss:  0.073
Epoch  19 Batch   58/269 - Train Accuracy:  0.950, Validation Accuracy:  0.955, Loss:  0.063
Epoch  19 Batch   59/269 - Train Accuracy:  0.959, Validation Accuracy:  0.955, Loss:  0.050
Epoch  19 Batch   60/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.061
Epoch  19 Batch   61/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.060
Epoch  19 Batch   62/269 - Train Accuracy:  0.934, Validation Accuracy:  0.955, Loss:  0.064
Epoch  19 Batch   63/269 - Train Accuracy:  0.941, Validation Accuracy:  0.955, Loss:  0.067
Epoch  19 Batch   64/269 - Train Accuracy:  0.958, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch   65/269 - Train Accuracy:  0.948, Validation Accuracy:  0.956, Loss:  0.061
Epoch  19 Batch   66/269 - Train Accuracy:  0.947, Validation Accuracy:  0.956, Loss:  0.062
Epoch  19 Batch   67/269 - Train Accuracy:  0.950, Validation Accuracy:  0.953, Loss:  0.071
Epoch  19 Batch   68/269 - Train Accuracy:  0.941, Validation Accuracy:  0.954, Loss:  0.072
Epoch  19 Batch   69/269 - Train Accuracy:  0.924, Validation Accuracy:  0.955, Loss:  0.081
Epoch  19 Batch   70/269 - Train Accuracy:  0.959, Validation Accuracy:  0.951, Loss:  0.068
Epoch  19 Batch   71/269 - Train Accuracy:  0.950, Validation Accuracy:  0.951, Loss:  0.069
Epoch  19 Batch   72/269 - Train Accuracy:  0.955, Validation Accuracy:  0.951, Loss:  0.071
Epoch  19 Batch   73/269 - Train Accuracy:  0.935, Validation Accuracy:  0.950, Loss:  0.070
Epoch  19 Batch   74/269 - Train Accuracy:  0.955, Validation Accuracy:  0.948, Loss:  0.060
Epoch  19 Batch   75/269 - Train Accuracy:  0.943, Validation Accuracy:  0.947, Loss:  0.064
Epoch  19 Batch   76/269 - Train Accuracy:  0.949, Validation Accuracy:  0.946, Loss:  0.063
Epoch  19 Batch   77/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.063
Epoch  19 Batch   78/269 - Train Accuracy:  0.945, Validation Accuracy:  0.950, Loss:  0.063
Epoch  19 Batch   79/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.064
Epoch  19 Batch   80/269 - Train Accuracy:  0.951, Validation Accuracy:  0.953, Loss:  0.065
Epoch  19 Batch   81/269 - Train Accuracy:  0.935, Validation Accuracy:  0.953, Loss:  0.074
Epoch  19 Batch   82/269 - Train Accuracy:  0.949, Validation Accuracy:  0.953, Loss:  0.057
Epoch  19 Batch   83/269 - Train Accuracy:  0.935, Validation Accuracy:  0.955, Loss:  0.074
Epoch  19 Batch   84/269 - Train Accuracy:  0.953, Validation Accuracy:  0.955, Loss:  0.067
Epoch  19 Batch   85/269 - Train Accuracy:  0.942, Validation Accuracy:  0.955, Loss:  0.065
Epoch  19 Batch   86/269 - Train Accuracy:  0.961, Validation Accuracy:  0.956, Loss:  0.055
Epoch  19 Batch   87/269 - Train Accuracy:  0.945, Validation Accuracy:  0.952, Loss:  0.066
Epoch  19 Batch   88/269 - Train Accuracy:  0.932, Validation Accuracy:  0.952, Loss:  0.066
Epoch  19 Batch   89/269 - Train Accuracy:  0.954, Validation Accuracy:  0.951, Loss:  0.061
Epoch  19 Batch   90/269 - Train Accuracy:  0.951, Validation Accuracy:  0.951, Loss:  0.070
Epoch  19 Batch   91/269 - Train Accuracy:  0.960, Validation Accuracy:  0.952, Loss:  0.060
Epoch  19 Batch   92/269 - Train Accuracy:  0.959, Validation Accuracy:  0.951, Loss:  0.057
Epoch  19 Batch   93/269 - Train Accuracy:  0.956, Validation Accuracy:  0.950, Loss:  0.059
Epoch  19 Batch   94/269 - Train Accuracy:  0.944, Validation Accuracy:  0.951, Loss:  0.074
Epoch  19 Batch   95/269 - Train Accuracy:  0.952, Validation Accuracy:  0.949, Loss:  0.062
Epoch  19 Batch   96/269 - Train Accuracy:  0.933, Validation Accuracy:  0.946, Loss:  0.067
Epoch  19 Batch   97/269 - Train Accuracy:  0.948, Validation Accuracy:  0.945, Loss:  0.068
Epoch  19 Batch   98/269 - Train Accuracy:  0.953, Validation Accuracy:  0.943, Loss:  0.060
Epoch  19 Batch   99/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.065
Epoch  19 Batch  100/269 - Train Accuracy:  0.948, Validation Accuracy:  0.947, Loss:  0.062
Epoch  19 Batch  101/269 - Train Accuracy:  0.945, Validation Accuracy:  0.945, Loss:  0.073
Epoch  19 Batch  102/269 - Train Accuracy:  0.950, Validation Accuracy:  0.949, Loss:  0.064
Epoch  19 Batch  103/269 - Train Accuracy:  0.952, Validation Accuracy:  0.950, Loss:  0.073
Epoch  19 Batch  104/269 - Train Accuracy:  0.954, Validation Accuracy:  0.950, Loss:  0.068
Epoch  19 Batch  105/269 - Train Accuracy:  0.941, Validation Accuracy:  0.950, Loss:  0.062
Epoch  19 Batch  106/269 - Train Accuracy:  0.954, Validation Accuracy:  0.954, Loss:  0.057
Epoch  19 Batch  107/269 - Train Accuracy:  0.961, Validation Accuracy:  0.954, Loss:  0.065
Epoch  19 Batch  108/269 - Train Accuracy:  0.957, Validation Accuracy:  0.955, Loss:  0.060
Epoch  19 Batch  109/269 - Train Accuracy:  0.939, Validation Accuracy:  0.952, Loss:  0.068
Epoch  19 Batch  110/269 - Train Accuracy:  0.947, Validation Accuracy:  0.953, Loss:  0.058
Epoch  19 Batch  111/269 - Train Accuracy:  0.942, Validation Accuracy:  0.953, Loss:  0.069
Epoch  19 Batch  112/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.064
Epoch  19 Batch  113/269 - Train Accuracy:  0.942, Validation Accuracy:  0.948, Loss:  0.065
Epoch  19 Batch  114/269 - Train Accuracy:  0.942, Validation Accuracy:  0.950, Loss:  0.063
Epoch  19 Batch  115/269 - Train Accuracy:  0.946, Validation Accuracy:  0.949, Loss:  0.062
Epoch  19 Batch  116/269 - Train Accuracy:  0.953, Validation Accuracy:  0.949, Loss:  0.070
Epoch  19 Batch  117/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.057
Epoch  19 Batch  118/269 - Train Accuracy:  0.949, Validation Accuracy:  0.948, Loss:  0.060
Epoch  19 Batch  119/269 - Train Accuracy:  0.938, Validation Accuracy:  0.950, Loss:  0.068
Epoch  19 Batch  120/269 - Train Accuracy:  0.946, Validation Accuracy:  0.948, Loss:  0.066
Epoch  19 Batch  121/269 - Train Accuracy:  0.953, Validation Accuracy:  0.948, Loss:  0.060
Epoch  19 Batch  122/269 - Train Accuracy:  0.951, Validation Accuracy:  0.948, Loss:  0.062
Epoch  19 Batch  123/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.062
Epoch  19 Batch  124/269 - Train Accuracy:  0.947, Validation Accuracy:  0.947, Loss:  0.054
Epoch  19 Batch  125/269 - Train Accuracy:  0.960, Validation Accuracy:  0.947, Loss:  0.058
Epoch  19 Batch  126/269 - Train Accuracy:  0.937, Validation Accuracy:  0.944, Loss:  0.064
Epoch  19 Batch  127/269 - Train Accuracy:  0.944, Validation Accuracy:  0.944, Loss:  0.070
Epoch  19 Batch  128/269 - Train Accuracy:  0.956, Validation Accuracy:  0.947, Loss:  0.064
Epoch  19 Batch  129/269 - Train Accuracy:  0.937, Validation Accuracy:  0.947, Loss:  0.060
Epoch  19 Batch  130/269 - Train Accuracy:  0.950, Validation Accuracy:  0.948, Loss:  0.066
Epoch  19 Batch  131/269 - Train Accuracy:  0.935, Validation Accuracy:  0.948, Loss:  0.061
Epoch  19 Batch  132/269 - Train Accuracy:  0.932, Validation Accuracy:  0.948, Loss:  0.066
Epoch  19 Batch  133/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.053
Epoch  19 Batch  134/269 - Train Accuracy:  0.944, Validation Accuracy:  0.952, Loss:  0.060
Epoch  19 Batch  135/269 - Train Accuracy:  0.953, Validation Accuracy:  0.952, Loss:  0.064
Epoch  19 Batch  136/269 - Train Accuracy:  0.925, Validation Accuracy:  0.951, Loss:  0.077
Epoch  19 Batch  137/269 - Train Accuracy:  0.936, Validation Accuracy:  0.953, Loss:  0.071
Epoch  19 Batch  138/269 - Train Accuracy:  0.948, Validation Accuracy:  0.949, Loss:  0.058
Epoch  19 Batch  139/269 - Train Accuracy:  0.949, Validation Accuracy:  0.946, Loss:  0.058
Epoch  19 Batch  140/269 - Train Accuracy:  0.951, Validation Accuracy:  0.950, Loss:  0.064
Epoch  19 Batch  141/269 - Train Accuracy:  0.943, Validation Accuracy:  0.951, Loss:  0.069
Epoch  19 Batch  142/269 - Train Accuracy:  0.943, Validation Accuracy:  0.952, Loss:  0.064
Epoch  19 Batch  143/269 - Train Accuracy:  0.957, Validation Accuracy:  0.950, Loss:  0.055
Epoch  19 Batch  144/269 - Train Accuracy:  0.960, Validation Accuracy:  0.948, Loss:  0.055
Epoch  19 Batch  145/269 - Train Accuracy:  0.956, Validation Accuracy:  0.946, Loss:  0.055
Epoch  19 Batch  146/269 - Train Accuracy:  0.941, Validation Accuracy:  0.949, Loss:  0.062
Epoch  19 Batch  147/269 - Train Accuracy:  0.946, Validation Accuracy:  0.949, Loss:  0.066
Epoch  19 Batch  148/269 - Train Accuracy:  0.954, Validation Accuracy:  0.949, Loss:  0.062
Epoch  19 Batch  149/269 - Train Accuracy:  0.938, Validation Accuracy:  0.947, Loss:  0.070
Epoch  19 Batch  150/269 - Train Accuracy:  0.943, Validation Accuracy:  0.945, Loss:  0.066
Epoch  19 Batch  151/269 - Train Accuracy:  0.952, Validation Accuracy:  0.943, Loss:  0.064
Epoch  19 Batch  152/269 - Train Accuracy:  0.948, Validation Accuracy:  0.946, Loss:  0.062
Epoch  19 Batch  153/269 - Train Accuracy:  0.950, Validation Accuracy:  0.947, Loss:  0.061
Epoch  19 Batch  154/269 - Train Accuracy:  0.959, Validation Accuracy:  0.945, Loss:  0.067
Epoch  19 Batch  155/269 - Train Accuracy:  0.936, Validation Accuracy:  0.952, Loss:  0.063
Epoch  19 Batch  156/269 - Train Accuracy:  0.954, Validation Accuracy:  0.955, Loss:  0.062
Epoch  19 Batch  157/269 - Train Accuracy:  0.945, Validation Accuracy:  0.955, Loss:  0.059
Epoch  19 Batch  158/269 - Train Accuracy:  0.948, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch  159/269 - Train Accuracy:  0.951, Validation Accuracy:  0.957, Loss:  0.067
Epoch  19 Batch  160/269 - Train Accuracy:  0.936, Validation Accuracy:  0.956, Loss:  0.063
Epoch  19 Batch  161/269 - Train Accuracy:  0.956, Validation Accuracy:  0.957, Loss:  0.061
Epoch  19 Batch  162/269 - Train Accuracy:  0.950, Validation Accuracy:  0.958, Loss:  0.059
Epoch  19 Batch  163/269 - Train Accuracy:  0.949, Validation Accuracy:  0.956, Loss:  0.062
Epoch  19 Batch  164/269 - Train Accuracy:  0.955, Validation Accuracy:  0.955, Loss:  0.061
Epoch  19 Batch  165/269 - Train Accuracy:  0.949, Validation Accuracy:  0.956, Loss:  0.064
Epoch  19 Batch  166/269 - Train Accuracy:  0.954, Validation Accuracy:  0.955, Loss:  0.057
Epoch  19 Batch  167/269 - Train Accuracy:  0.946, Validation Accuracy:  0.954, Loss:  0.061
Epoch  19 Batch  168/269 - Train Accuracy:  0.953, Validation Accuracy:  0.956, Loss:  0.064
Epoch  19 Batch  169/269 - Train Accuracy:  0.945, Validation Accuracy:  0.958, Loss:  0.064
Epoch  19 Batch  170/269 - Train Accuracy:  0.953, Validation Accuracy:  0.957, Loss:  0.062
Epoch  19 Batch  171/269 - Train Accuracy:  0.962, Validation Accuracy:  0.956, Loss:  0.067
Epoch  19 Batch  172/269 - Train Accuracy:  0.946, Validation Accuracy:  0.956, Loss:  0.064
Epoch  19 Batch  173/269 - Train Accuracy:  0.952, Validation Accuracy:  0.955, Loss:  0.055
Epoch  19 Batch  174/269 - Train Accuracy:  0.957, Validation Accuracy:  0.953, Loss:  0.066
Epoch  19 Batch  175/269 - Train Accuracy:  0.947, Validation Accuracy:  0.952, Loss:  0.077
Epoch  19 Batch  176/269 - Train Accuracy:  0.929, Validation Accuracy:  0.951, Loss:  0.067
Epoch  19 Batch  177/269 - Train Accuracy:  0.956, Validation Accuracy:  0.951, Loss:  0.063
Epoch  19 Batch  178/269 - Train Accuracy:  0.958, Validation Accuracy:  0.953, Loss:  0.059
Epoch  19 Batch  179/269 - Train Accuracy:  0.941, Validation Accuracy:  0.956, Loss:  0.064
Epoch  19 Batch  180/269 - Train Accuracy:  0.958, Validation Accuracy:  0.958, Loss:  0.057
Epoch  19 Batch  181/269 - Train Accuracy:  0.946, Validation Accuracy:  0.960, Loss:  0.070
Epoch  19 Batch  182/269 - Train Accuracy:  0.954, Validation Accuracy:  0.961, Loss:  0.062
Epoch  19 Batch  183/269 - Train Accuracy:  0.962, Validation Accuracy:  0.960, Loss:  0.055
Epoch  19 Batch  184/269 - Train Accuracy:  0.950, Validation Accuracy:  0.960, Loss:  0.063
Epoch  19 Batch  185/269 - Train Accuracy:  0.952, Validation Accuracy:  0.959, Loss:  0.068
Epoch  19 Batch  186/269 - Train Accuracy:  0.943, Validation Accuracy:  0.955, Loss:  0.052
Epoch  19 Batch  187/269 - Train Accuracy:  0.945, Validation Accuracy:  0.953, Loss:  0.064
Epoch  19 Batch  188/269 - Train Accuracy:  0.957, Validation Accuracy:  0.953, Loss:  0.062
Epoch  19 Batch  189/269 - Train Accuracy:  0.952, Validation Accuracy:  0.954, Loss:  0.060
Epoch  19 Batch  190/269 - Train Accuracy:  0.950, Validation Accuracy:  0.954, Loss:  0.057
Epoch  19 Batch  191/269 - Train Accuracy:  0.939, Validation Accuracy:  0.954, Loss:  0.060
Epoch  19 Batch  192/269 - Train Accuracy:  0.951, Validation Accuracy:  0.955, Loss:  0.068
Epoch  19 Batch  193/269 - Train Accuracy:  0.946, Validation Accuracy:  0.955, Loss:  0.058
Epoch  19 Batch  194/269 - Train Accuracy:  0.940, Validation Accuracy:  0.955, Loss:  0.067
Epoch  19 Batch  195/269 - Train Accuracy:  0.943, Validation Accuracy:  0.956, Loss:  0.061
Epoch  19 Batch  196/269 - Train Accuracy:  0.951, Validation Accuracy:  0.955, Loss:  0.062
Epoch  19 Batch  197/269 - Train Accuracy:  0.945, Validation Accuracy:  0.952, Loss:  0.065
Epoch  19 Batch  198/269 - Train Accuracy:  0.956, Validation Accuracy:  0.951, Loss:  0.066
Epoch  19 Batch  199/269 - Train Accuracy:  0.954, Validation Accuracy:  0.952, Loss:  0.066
Epoch  19 Batch  200/269 - Train Accuracy:  0.952, Validation Accuracy:  0.953, Loss:  0.061
Epoch  19 Batch  201/269 - Train Accuracy:  0.949, Validation Accuracy:  0.954, Loss:  0.062
Epoch  19 Batch  202/269 - Train Accuracy:  0.955, Validation Accuracy:  0.953, Loss:  0.065
Epoch  19 Batch  203/269 - Train Accuracy:  0.943, Validation Accuracy:  0.953, Loss:  0.069
Epoch  19 Batch  204/269 - Train Accuracy:  0.954, Validation Accuracy:  0.953, Loss:  0.064
Epoch  19 Batch  205/269 - Train Accuracy:  0.953, Validation Accuracy:  0.953, Loss:  0.059
Epoch  19 Batch  206/269 - Train Accuracy:  0.935, Validation Accuracy:  0.955, Loss:  0.068
Epoch  19 Batch  207/269 - Train Accuracy:  0.945, Validation Accuracy:  0.952, Loss:  0.059
Epoch  19 Batch  208/269 - Train Accuracy:  0.950, Validation Accuracy:  0.953, Loss:  0.071
Epoch  19 Batch  209/269 - Train Accuracy:  0.961, Validation Accuracy:  0.954, Loss:  0.057
Epoch  19 Batch  210/269 - Train Accuracy:  0.956, Validation Accuracy:  0.951, Loss:  0.060
Epoch  19 Batch  211/269 - Train Accuracy:  0.947, Validation Accuracy:  0.949, Loss:  0.067
Epoch  19 Batch  212/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.070
Epoch  19 Batch  213/269 - Train Accuracy:  0.942, Validation Accuracy:  0.953, Loss:  0.057
Epoch  19 Batch  214/269 - Train Accuracy:  0.937, Validation Accuracy:  0.955, Loss:  0.062
Epoch  19 Batch  215/269 - Train Accuracy:  0.948, Validation Accuracy:  0.955, Loss:  0.062
Epoch  19 Batch  216/269 - Train Accuracy:  0.944, Validation Accuracy:  0.954, Loss:  0.068
Epoch  19 Batch  217/269 - Train Accuracy:  0.935, Validation Accuracy:  0.958, Loss:  0.069
Epoch  19 Batch  218/269 - Train Accuracy:  0.944, Validation Accuracy:  0.957, Loss:  0.060
Epoch  19 Batch  219/269 - Train Accuracy:  0.949, Validation Accuracy:  0.957, Loss:  0.065
Epoch  19 Batch  220/269 - Train Accuracy:  0.946, Validation Accuracy:  0.958, Loss:  0.061
Epoch  19 Batch  221/269 - Train Accuracy:  0.948, Validation Accuracy:  0.957, Loss:  0.065
Epoch  19 Batch  222/269 - Train Accuracy:  0.961, Validation Accuracy:  0.960, Loss:  0.053
Epoch  19 Batch  223/269 - Train Accuracy:  0.946, Validation Accuracy:  0.959, Loss:  0.058
Epoch  19 Batch  224/269 - Train Accuracy:  0.949, Validation Accuracy:  0.957, Loss:  0.071
Epoch  19 Batch  225/269 - Train Accuracy:  0.955, Validation Accuracy:  0.956, Loss:  0.057
Epoch  19 Batch  226/269 - Train Accuracy:  0.954, Validation Accuracy:  0.955, Loss:  0.069
Epoch  19 Batch  227/269 - Train Accuracy:  0.951, Validation Accuracy:  0.954, Loss:  0.067
Epoch  19 Batch  228/269 - Train Accuracy:  0.957, Validation Accuracy:  0.953, Loss:  0.059
Epoch  19 Batch  229/269 - Train Accuracy:  0.947, Validation Accuracy:  0.951, Loss:  0.060
Epoch  19 Batch  230/269 - Train Accuracy:  0.960, Validation Accuracy:  0.953, Loss:  0.057
Epoch  19 Batch  231/269 - Train Accuracy:  0.940, Validation Accuracy:  0.955, Loss:  0.063
Epoch  19 Batch  232/269 - Train Accuracy:  0.941, Validation Accuracy:  0.960, Loss:  0.062
Epoch  19 Batch  233/269 - Train Accuracy:  0.961, Validation Accuracy:  0.958, Loss:  0.064
Epoch  19 Batch  234/269 - Train Accuracy:  0.945, Validation Accuracy:  0.956, Loss:  0.062
Epoch  19 Batch  235/269 - Train Accuracy:  0.966, Validation Accuracy:  0.956, Loss:  0.054
Epoch  19 Batch  236/269 - Train Accuracy:  0.941, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch  237/269 - Train Accuracy:  0.957, Validation Accuracy:  0.959, Loss:  0.057
Epoch  19 Batch  238/269 - Train Accuracy:  0.953, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch  239/269 - Train Accuracy:  0.951, Validation Accuracy:  0.958, Loss:  0.060
Epoch  19 Batch  240/269 - Train Accuracy:  0.946, Validation Accuracy:  0.957, Loss:  0.056
Epoch  19 Batch  241/269 - Train Accuracy:  0.943, Validation Accuracy:  0.955, Loss:  0.069
Epoch  19 Batch  242/269 - Train Accuracy:  0.945, Validation Accuracy:  0.951, Loss:  0.059
Epoch  19 Batch  243/269 - Train Accuracy:  0.952, Validation Accuracy:  0.951, Loss:  0.059
Epoch  19 Batch  244/269 - Train Accuracy:  0.940, Validation Accuracy:  0.953, Loss:  0.062
Epoch  19 Batch  245/269 - Train Accuracy:  0.945, Validation Accuracy:  0.958, Loss:  0.063
Epoch  19 Batch  246/269 - Train Accuracy:  0.950, Validation Accuracy:  0.956, Loss:  0.063
Epoch  19 Batch  247/269 - Train Accuracy:  0.952, Validation Accuracy:  0.956, Loss:  0.061
Epoch  19 Batch  248/269 - Train Accuracy:  0.955, Validation Accuracy:  0.955, Loss:  0.056
Epoch  19 Batch  249/269 - Train Accuracy:  0.951, Validation Accuracy:  0.955, Loss:  0.056
Epoch  19 Batch  250/269 - Train Accuracy:  0.948, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch  251/269 - Train Accuracy:  0.960, Validation Accuracy:  0.957, Loss:  0.058
Epoch  19 Batch  252/269 - Train Accuracy:  0.961, Validation Accuracy:  0.957, Loss:  0.053
Epoch  19 Batch  253/269 - Train Accuracy:  0.938, Validation Accuracy:  0.956, Loss:  0.063
Epoch  19 Batch  254/269 - Train Accuracy:  0.956, Validation Accuracy:  0.957, Loss:  0.061
Epoch  19 Batch  255/269 - Train Accuracy:  0.943, Validation Accuracy:  0.957, Loss:  0.059
Epoch  19 Batch  256/269 - Train Accuracy:  0.950, Validation Accuracy:  0.956, Loss:  0.055
Epoch  19 Batch  257/269 - Train Accuracy:  0.947, Validation Accuracy:  0.956, Loss:  0.062
Epoch  19 Batch  258/269 - Train Accuracy:  0.939, Validation Accuracy:  0.956, Loss:  0.065
Epoch  19 Batch  259/269 - Train Accuracy:  0.961, Validation Accuracy:  0.958, Loss:  0.057
Epoch  19 Batch  260/269 - Train Accuracy:  0.949, Validation Accuracy:  0.957, Loss:  0.065
Epoch  19 Batch  261/269 - Train Accuracy:  0.953, Validation Accuracy:  0.959, Loss:  0.060
Epoch  19 Batch  262/269 - Train Accuracy:  0.949, Validation Accuracy:  0.958, Loss:  0.064
Epoch  19 Batch  263/269 - Train Accuracy:  0.945, Validation Accuracy:  0.959, Loss:  0.063
Epoch  19 Batch  264/269 - Train Accuracy:  0.930, Validation Accuracy:  0.958, Loss:  0.070
Epoch  19 Batch  265/269 - Train Accuracy:  0.953, Validation Accuracy:  0.957, Loss:  0.057
Epoch  19 Batch  266/269 - Train Accuracy:  0.949, Validation Accuracy:  0.957, Loss:  0.055
Epoch  19 Batch  267/269 - Train Accuracy:  0.953, Validation Accuracy:  0.956, Loss:  0.068
Model Trained and Saved

保存参数

保存 batch_size 和 save_path 参数以进行推论（for inference）。

In [17]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Save parameters for checkpoint
helper.save_params(save_path)

检查点

In [18]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import tensorflow as tf
import numpy as np
import helper
import problem_unittests as tests

_, (source_vocab_to_int, target_vocab_to_int), (source_int_to_vocab, target_int_to_vocab) = helper.load_preprocess()
load_path = helper.load_params()

句子到序列

要向模型提供要翻译的句子，你首先需要预处理该句子。实现函数 sentence_to_seq() 以预处理新的句子。

  • 将句子转换为小写形式
  • 使用 vocab_to_int 将单词转换为 id
    • 如果单词不在词汇表中，将其转换为<UNK> 单词 id
In [19]:
def sentence_to_seq(sentence, vocab_to_int):
    """
    Convert a sentence to a sequence of ids
    :param sentence: String
    :param vocab_to_int: Dictionary to go from the words to an id
    :return: List of word ids
    """
    # TODO: Implement Function
    
    return [vocab_to_int.get(word,vocab_to_int['<UNK>']) for word in sentence.lower().split()]


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_sentence_to_seq(sentence_to_seq)

Tests Passed

翻译

将 translate_sentence 从英语翻译成法语。

In [23]:
translate_sentence = 'he saw a old yellow truck .'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
translate_sentence = sentence_to_seq(translate_sentence, source_vocab_to_int)

loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
    # Load saved model
    loader = tf.train.import_meta_graph(load_path + '.meta')
    loader.restore(sess, load_path)

    input_data = loaded_graph.get_tensor_by_name('input:0')
    logits = loaded_graph.get_tensor_by_name('logits:0')
    keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')

    translate_logits = sess.run(logits, {input_data: [translate_sentence], keep_prob: 1.0})[0]

print('Input')
print('  Word Ids:      {}'.format([i for i in translate_sentence]))
print('  English Words: {}'.format([source_int_to_vocab[i] for i in translate_sentence]))

print('\nPrediction')
print('  Word Ids:      {}'.format([i for i in np.argmax(translate_logits, 1)]))
print('  French Words: {}'.format([target_int_to_vocab[i] for i in np.argmax(translate_logits, 1)]))

Input
  Word Ids:      [74, 216, 227, 164, 98, 136, 145]
  English Words: ['he', 'saw', 'a', 'old', 'yellow', 'truck', '.']

Prediction
  Word Ids:      [54, 85, 74, 344, 219, 95, 151, 308, 1]
  French Words: ['il', 'a', 'vu', 'un', 'vieux', 'camion', 'jaune', '.', '<EOS>']

不完美的翻译

你可能注意到了，某些句子的翻译质量比其他的要好。因为你使用的数据集只有 227 个英语单词，但实际生活中有数千个单词，只有使用这些单词的句子结果才会比较理想。对于此项目，不需要达到完美的翻译。但是，如果你想创建更好的翻译模型，则需要更好的数据。

你可以使用 WMT10 French-English corpus 语料库训练模型。该数据集拥有更多的词汇，讨论的话题也更丰富。但是，训练时间要好多天的时间，所以确保你有 GPU 并且对于我们提供的数据集，你的神经网络性能很棒。提交此项目后，别忘了研究下 WMT10 语料库。

提交项目

提交项目时，确保先运行所有单元，然后再保存记事本。保存记事本文件为 “dlnd_language_translation.ipynb”，再通过菜单中的“文件” ->“下载为”将其另存为 HTML 格式。提交的项目文档中需包含“helper.py”和“problem_unittests.py”文件。