Image Classification¶
In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. You'll preprocess the images, then train a convolutional neural network on all the samples. The images need to be normalized and the labels need to be one-hot encoded. You'll get to apply what you learned and build a convolutional, max pooling, dropout, and fully connected layers. At the end, you'll get to see your neural network's predictions on the sample images.
Get the Data¶
Run the following cell to download the CIFAR-10 dataset for python.
In [2]:
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tqdm import tqdm
import problem_unittests as tests
import tarfile
cifar10_dataset_folder_path = 'cifar-10-batches-py'
class DLProgress(tqdm):
last_block = 0
def hook(self, block_num=1, block_size=1, total_size=None):
self.total = total_size
self.update((block_num - self.last_block) * block_size)
self.last_block = block_num
if not isfile('cifar-10-python.tar.gz'):
with DLProgress(unit='B', unit_scale=True, miniters=1, desc='CIFAR-10 Dataset') as pbar:
urlretrieve(
'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz',
'cifar-10-python.tar.gz',
pbar.hook)
if not isdir(cifar10_dataset_folder_path):
with tarfile.open('cifar-10-python.tar.gz') as tar:
tar.extractall()
tar.close()
tests.test_folder_path(cifar10_dataset_folder_path)
All files found!
Explore the Data¶
The dataset is broken into batches to prevent your machine from running out of memory. The CIFAR-10 dataset consists of 5 batches, named data_batch_1, data_batch_2, etc.. Each batch contains the labels and images that are one of the following:
- airplane
- automobile
- bird
- cat
- deer
- dog
- frog
- horse
- ship
- truck
Understanding a dataset is part of making predictions on the data. Play around with the code cell below by changing the batch_id and sample_id. The batch_id is the id for a batch (1-5). The sample_id is the id for a image and label pair in the batch.
Ask yourself "What are all possible labels?", "What is the range of values for the image data?", "Are the labels in order or random?". Answers to questions like these will help you preprocess the data and end up with better predictions.
In [3]:
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import helper
import numpy as np
# Explore the dataset
batch_id = 1
sample_id = 5
helper.display_stats(cifar10_dataset_folder_path, batch_id, sample_id)
Stats of batch 1:
Samples: 10000
Label Counts: {0: 1005, 1: 974, 2: 1032, 3: 1016, 4: 999, 5: 937, 6: 1030, 7: 1001, 8: 1025, 9: 981}
First 20 Labels: [6, 9, 9, 4, 1, 1, 2, 7, 8, 3, 4, 7, 7, 2, 9, 9, 9, 3, 2, 6]
Example of Image 5:
Image - Min Value: 0 Max Value: 252
Image - Shape: (32, 32, 3)
Label - Label Id: 1 Name: automobile
In [4]:
def normalize(x):
"""
Normalize a list of sample image data in the range of 0 to 1
: x: List of image data. The image shape is (32, 32, 3)
: return: Numpy array of normalize data
"""
# TODO: Implement Function
return x / 255
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_normalize(normalize)
Tests Passed
One-hot encode¶
Just like the previous code cell, you'll be implementing a function for preprocessing. This time, you'll implement the one_hot_encode function. The input, x, are a list of labels. Implement the function to return the list of labels as One-Hot encoded Numpy array. The possible values for labels are 0 to 9. The one-hot encoding function should return the same encoding for each value between each call to one_hot_encode. Make sure to save the map of encodings outside the function.
Hint: Don't reinvent the wheel.
In [5]:
from sklearn.preprocessing import LabelBinarizer
encoder = LabelBinarizer()
encoder.fit(range(10))
def one_hot_encode(x):
"""
One hot encode a list of sample labels. Return a one-hot encoded vector for each label.
: x: List of sample Labels
: return: Numpy array of one-hot encoded labels
"""
# TODO: Implement Function
return encoder.transform(x)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_one_hot_encode(one_hot_encode)
Tests Passed
Randomize Data¶
As you saw from exploring the data above, the order of the samples are randomized. It doesn't hurt to randomize it again, but you don't need to for this dataset.
Preprocess all the data and save it¶
Running the code cell below will preprocess all the CIFAR-10 data and save it to file. The code below also uses 10% of the training data for validation.
In [6]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Preprocess Training, Validation, and Testing Data
helper.preprocess_and_save_data(cifar10_dataset_folder_path, normalize, one_hot_encode)
Check Point¶
This is your first checkpoint. If you ever decide to come back to this notebook or have to restart the notebook, you can start from here. The preprocessed data has been saved to disk.
In [7]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import pickle
import problem_unittests as tests
import helper
# Load the Preprocessed Validation data
valid_features, valid_labels = pickle.load(open('preprocess_validation.p', mode='rb'))
Build the network¶
For the neural network, you'll build each layer into a function. Most of the code you've seen has been outside of functions. To test your code more thoroughly, we require that you put each layer in a function. This allows us to give you better feedback and test for simple mistakes using our unittests before you submit your project.
Note: If you're finding it hard to dedicate enough time for this course each week, we've provided a small shortcut to this part of the project. In the next couple of problems, you'll have the option to use classes from the TensorFlow Layers or TensorFlow Layers (contrib) packages to build each layer, except the layers you build in the "Convolutional and Max Pooling Layer" section. TF Layers is similar to Keras's and TFLearn's abstraction to layers, so it's easy to pickup.
However, if you would like to get the most out of this course, try to solve all the problems without using anything from the TF Layers packages. You can still use classes from other packages that happen to have the same name as ones you find in TF Layers! For example, instead of using the TF Layers version of the
conv2dclass, tf.layers.conv2d, you would want to use the TF Neural Network version ofconv2d, tf.nn.conv2d.
Let's begin!
Input¶
The neural network needs to read the image data, one-hot encoded labels, and dropout keep probability. Implement the following functions
- Implement
neural_net_image_input- Return a TF Placeholder
- Set the shape using
image_shapewith batch size set toNone. - Name the TensorFlow placeholder "x" using the TensorFlow
nameparameter in the TF Placeholder.
- Implement
neural_net_label_input- Return a TF Placeholder
- Set the shape using
n_classeswith batch size set toNone. - Name the TensorFlow placeholder "y" using the TensorFlow
nameparameter in the TF Placeholder.
- Implement
neural_net_keep_prob_input- Return a TF Placeholder for dropout keep probability.
- Name the TensorFlow placeholder "keep_prob" using the TensorFlow
nameparameter in the TF Placeholder.
These names will be used at the end of the project to load your saved model.
Note: None for shapes in TensorFlow allow for a dynamic size.
In [8]:
import tensorflow as tf
def neural_net_image_input(image_shape):
"""
Return a Tensor for a bach of image input
: image_shape: Shape of the images
: return: Tensor for image input.
"""
# TODO: Implement Function
return tf.placeholder(tf.float32, shape=[None, image_shape[0], image_shape[1], image_shape[2]], name="x")
def neural_net_label_input(n_classes):
"""
Return a Tensor for a batch of label input
: n_classes: Number of classes
: return: Tensor for label input.
"""
# TODO: Implement Function
return tf.placeholder(tf.float32, shape=[None, n_classes], name="y")
def neural_net_keep_prob_input():
"""
Return a Tensor for keep probability
: return: Tensor for keep probability.
"""
# TODO: Implement Function
return tf.placeholder(tf.float32, name="keep_prob")
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tf.reset_default_graph()
tests.test_nn_image_inputs(neural_net_image_input)
tests.test_nn_label_inputs(neural_net_label_input)
tests.test_nn_keep_prob_inputs(neural_net_keep_prob_input)
Image Input Tests Passed. Label Input Tests Passed. Keep Prob Tests Passed.
Convolution and Max Pooling Layer¶
Convolution layers have a lot of success with images. For this code cell, you should implement the function conv2d_maxpool to apply convolution then max pooling:
- Create the weight and bias using
conv_ksize,conv_num_outputsand the shape ofx_tensor. - Apply a convolution to
x_tensorusing weight andconv_strides.- We recommend you use same padding, but you're welcome to use any padding.
- Add bias
- Add a nonlinear activation to the convolution.
- Apply Max Pooling using
pool_ksizeandpool_strides.- We recommend you use same padding, but you're welcome to use any padding.
Note: You can't use TensorFlow Layers or TensorFlow Layers (contrib) for this layer, but you can still use TensorFlow's Neural Network package. You may still use the shortcut option for all the other layers.
In [9]:
def conv2d_maxpool(x_tensor, conv_num_outputs, conv_ksize, conv_strides, pool_ksize, pool_strides):
"""
Apply convolution then max pooling to x_tensor
:param x_tensor: TensorFlow Tensor
:param conv_num_outputs: Number of outputs for the convolutional layer
:param conv_ksize: kernal size 2-D Tuple for the convolutional layer
:param conv_strides: Stride 2-D Tuple for convolution
:param pool_ksize: kernal size 2-D Tuple for pool
:param pool_strides: Stride 2-D Tuple for pool
: return: A tensor that represents convolution and max pooling of x_tensor
"""
# TODO: Implement Function
# Weight and bias
channels = x_tensor.get_shape().as_list()[3]
weights = tf.Variable(tf.random_normal([conv_ksize[0], conv_ksize[1], channels, conv_num_outputs]))
bias = tf.Variable(tf.zeros(conv_num_outputs))
# Apply convolution
conv_layer = tf.nn.conv2d(x_tensor, weights, strides=[1, conv_strides[0], conv_strides[1], 1], padding="SAME")
# Add bias
conv_layer = tf.nn.bias_add(conv_layer, bias)
# Apply non-linear activation function
conv_layer = tf.nn.relu(conv_layer)
# Apply max-pooling
conv_layer = tf.nn.max_pool(conv_layer, \
ksize=[1, pool_ksize[0], pool_ksize[1], 1], \
strides=[1, pool_strides[0], pool_strides[1], 1], \
padding='SAME')
return conv_layer
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_con_pool(conv2d_maxpool)
Tests Passed
Flatten Layer¶
Implement the flatten function to change the dimension of x_tensor from a 4-D tensor to a 2-D tensor. The output should be the shape (Batch Size, Flattened Image Size). Shortcut option: you can use classes from the TensorFlow Layers or TensorFlow Layers (contrib) packages for this layer. For more of a challenge, only use other TensorFlow packages.
In [10]:
def flatten(x_tensor):
"""
Flatten x_tensor to (Batch Size, Flattened Image Size)
: x_tensor: A tensor of size (Batch Size, ...), where ... are the image dimensions.
: return: A tensor of size (Batch Size, Flattened Image Size).
"""
# TODO: Implement Function
dim_list = x_tensor.get_shape().as_list()
batch_size = dim_list[0]
height = dim_list[1]
width = dim_list[2]
depth = dim_list[3]
flattened = int(height * width * depth)
return tf.reshape(x_tensor, [-1, flattened])
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_flatten(flatten)
Tests Passed
Fully-Connected Layer¶
Implement the fully_conn function to apply a fully connected layer to x_tensor with the shape (Batch Size, num_outputs). Shortcut option: you can use classes from the TensorFlow Layers or TensorFlow Layers (contrib) packages for this layer. For more of a challenge, only use other TensorFlow packages.
In [11]:
def fully_conn(x_tensor, num_outputs):
"""
Apply a fully connected layer to x_tensor using weight and bias
: x_tensor: A 2-D tensor where the first dimension is batch size.
: num_outputs: The number of output that the new tensor should be.
: return: A 2-D tensor where the second dimension is num_outputs.
"""
# TODO: Implement Function
num_in = x_tensor.get_shape().as_list()[1]
weights = tf.Variable(tf.random_normal([num_in, num_outputs]))
bias = tf.Variable(tf.zeros(num_outputs))
fully_conn = tf.add(tf.matmul(x_tensor, weights), bias)
fully_conn = tf.nn.relu(fully_conn)
return fully_conn
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_fully_conn(fully_conn)
Tests Passed
Output Layer¶
Implement the output function to apply a fully connected layer to x_tensor with the shape (Batch Size, num_outputs). Shortcut option: you can use classes from the TensorFlow Layers or TensorFlow Layers (contrib) packages for this layer. For more of a challenge, only use other TensorFlow packages.
Note: Activation, softmax, or cross entropy should not be applied to this.
In [12]:
def output(x_tensor, num_outputs):
"""
Apply a output layer to x_tensor using weight and bias
: x_tensor: A 2-D tensor where the first dimension is batch size.
: num_outputs: The number of output that the new tensor should be.
: return: A 2-D tensor where the second dimension is num_outputs.
"""
# TODO: Implement Function
num_in = x_tensor.get_shape().as_list()[1]
weights = tf.Variable(tf.random_normal([num_in, num_outputs]))
bias = tf.Variable(tf.zeros(num_outputs))
fully_conn = tf.add(tf.matmul(x_tensor, weights), bias)
return fully_conn
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_output(output)
Tests Passed
Create Convolutional Model¶
Implement the function conv_net to create a convolutional neural network model. The function takes in a batch of images, x, and outputs logits. Use the layers you created above to create this model:
- Apply 1, 2, or 3 Convolution and Max Pool layers
- Apply a Flatten Layer
- Apply 1, 2, or 3 Fully Connected Layers
- Apply an Output Layer
- Return the output
- Apply TensorFlow's Dropout to one or more layers in the model using
keep_prob.
In [23]:
def conv_net(x, keep_prob):
"""
Create a convolutional neural network model
: x: Placeholder tensor that holds image data.
: keep_prob: Placeholder tensor that hold dropout keep probability.
: return: Tensor that represents logits
"""
# TODO: Apply 1, 2, or 3 Convolution and Max Pool layers
# Play around with different number of outputs, kernel size and stride
# Function Definition from Above:
# conv2d_maxpool(x_tensor, conv_num_outputs, conv_ksize, conv_strides, pool_ksize, pool_strides)
# Variable initialization
conv_ksize = (3, 3)
conv_strides = (2, 2)
pool_ksize = (2, 2)
pool_strides = (1, 1)
conv_num_outputs = 48
# CNN layer 1 -- 32x32x3 to 16x16x48
conv_layer = conv2d_maxpool(x, conv_num_outputs, conv_ksize, conv_strides, pool_ksize, pool_strides)
# CNN layer 2 -- 16x16x48 to 8x8x192
conv_layer = conv2d_maxpool(conv_layer, 192, (2, 2), conv_strides, pool_ksize, (1, 1))
# CNN layer 3 -- 8x8x192 to 4x4x384
conv_layer = conv2d_maxpool(conv_layer, 384, (2, 2), conv_strides, (1, 1), pool_strides)
# CNN layer 4 - 4x4x384 to 2x2x512
conv_layer = conv2d_maxpool(conv_layer, 512, (2, 2), (2, 2), (1, 1), (1, 1))
# TODO: Apply a Flatten Layer
# Function Definition from Above:
# flatten(x_tensor)
# 2x2x512 to 2048
conv_layer = flatten(conv_layer)
# TODO: Apply 1, 2, or 3 Fully Connected Layers
# Play around with different number of outputs
# Function Definition from Above:
# fully_conn(x_tensor, num_outputs)
# Dropout -- 3072 to (keep_prob * 3072)
fully_conn_layer = tf.nn.dropout(conv_layer, keep_prob)
# Fully connected layer 1 -- (keep_prob * 3072) to 512
fully_conn_layer = fully_conn(conv_layer, 512)
# Fully connected layer 2 -- 512 to 128
fully_conn_layer = fully_conn(fully_conn_layer, 128)
# TODO: Apply an Output Layer
# Set this to the number of classes
# Function Definition from Above:
# output(x_tensor, num_outputs)
# Output layer -- 128 to 10
out = output(fully_conn_layer, 10)
# TODO: return output
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
##############################
## Build the Neural Network ##
##############################
# Remove previous weights, bias, inputs, etc..
tf.reset_default_graph()
# Inputs
x = neural_net_image_input((32, 32, 3))
y = neural_net_label_input(10)
keep_prob = neural_net_keep_prob_input()
# Model
logits = conv_net(x, keep_prob)
# Name logits Tensor, so that is can be loaded from disk after training
logits = tf.identity(logits, name='logits')
# Loss and Optimizer
cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=y))
optimizer = tf.train.AdamOptimizer().minimize(cost)
# Accuracy
correct_pred = tf.equal(tf.argmax(logits, 1), tf.argmax(y, 1))
accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32), name='accuracy')
tests.test_conv_net(conv_net)
Neural Network Built!
Train the Neural Network¶
Single Optimization¶
Implement the function train_neural_network to do a single optimization. The optimization should use optimizer to optimize in session with a feed_dict of the following:
xfor image inputyfor labelskeep_probfor keep probability for dropout
This function will be called for each batch, so tf.global_variables_initializer() has already been called.
Note: Nothing needs to be returned. This function is only optimizing the neural network.
In [24]:
def train_neural_network(session, optimizer, keep_probability, feature_batch, label_batch):
"""
Optimize the session on a batch of images and labels
: session: Current TensorFlow session
: optimizer: TensorFlow optimizer function
: keep_probability: keep probability
: feature_batch: Batch of Numpy image data
: label_batch: Batch of Numpy label data
"""
# TODO: Implement Function
session.run(optimizer, feed_dict={
x: feature_batch,
y: label_batch,
keep_prob: keep_probability
})
pass
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_train_nn(train_neural_network)
Tests Passed
Show Stats¶
Implement the function print_stats to print loss and validation accuracy. Use the global variables valid_features and valid_labels to calculate validation accuracy. Use a keep probability of 1.0 to calculate the loss and validation accuracy.
In [25]:
def print_stats(session, feature_batch, label_batch, cost, accuracy):
"""
Print information about loss and validation accuracy
: session: Current TensorFlow session
: feature_batch: Batch of Numpy image data
: label_batch: Batch of Numpy label data
: cost: TensorFlow cost function
: accuracy: TensorFlow accuracy function
"""
# TODO: Implement Function
loss = session.run(cost, feed_dict={
x: feature_batch,
y: label_batch,
keep_prob: 1.})
valid_acc = session.run(accuracy, feed_dict={
x: valid_features,
y: valid_labels,
keep_prob: 1.})
print('Loss: {:>10.4f} | Validation Accuracy: {:.4f}'.format(
loss,
valid_acc))
pass
Hyperparameters¶
Tune the following parameters:
- Set
epochsto the number of iterations until the network stops learning or start overfitting - Set
batch_sizeto the highest number that your machine has memory for. Most people set them to common sizes of memory:- 64
- 128
- 256
- ...
- Set
keep_probabilityto the probability of keeping a node using dropout
In [28]:
# TODO: Tune Parameters
epochs = 600
batch_size = 256
keep_probability = 0.5
Train on a Single CIFAR-10 Batch¶
Instead of training the neural network on all the CIFAR-10 batches of data, let's use a single batch. This should save time while you iterate on the model to get a better accuracy. Once the final validation accuracy is 50% or greater, run the model on all the data in the next section.
In [29]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
print('Checking the Training on a Single Batch...')
with tf.Session() as sess:
# Initializing the variables
sess.run(tf.global_variables_initializer())
# Training cycle
for epoch in range(epochs):
batch_i = 1
for batch_features, batch_labels in helper.load_preprocess_training_batch(batch_i, batch_size):
train_neural_network(sess, optimizer, keep_probability, batch_features, batch_labels)
print('Epoch {:>2}, CIFAR-10 Batch {}: '.format(epoch + 1, batch_i), end='')
print_stats(sess, batch_features, batch_labels, cost, accuracy)
Checking the Training on a Single Batch... Epoch 1, CIFAR-10 Batch 1: Loss: 10279422.0000 | Validation Accuracy: 0.2000 Epoch 2, CIFAR-10 Batch 1: Loss: 5859998.0000 | Validation Accuracy: 0.2348 Epoch 3, CIFAR-10 Batch 1: Loss: 4305946.0000 | Validation Accuracy: 0.2598 Epoch 4, CIFAR-10 Batch 1: Loss: 2903409.2500 | Validation Accuracy: 0.2752 Epoch 5, CIFAR-10 Batch 1: Loss: 2287536.0000 | Validation Accuracy: 0.2886 Epoch 6, CIFAR-10 Batch 1: Loss: 1772890.3750 | Validation Accuracy: 0.3022 Epoch 7, CIFAR-10 Batch 1: Loss: 1319545.2500 | Validation Accuracy: 0.3084 Epoch 8, CIFAR-10 Batch 1: Loss: 1309733.6250 | Validation Accuracy: 0.3182 Epoch 9, CIFAR-10 Batch 1: Loss: 996289.8750 | Validation Accuracy: 0.3294 Epoch 10, CIFAR-10 Batch 1: Loss: 804032.1250 | Validation Accuracy: 0.3356 Epoch 11, CIFAR-10 Batch 1: Loss: 783548.7500 | Validation Accuracy: 0.3300 Epoch 12, CIFAR-10 Batch 1: Loss: 712943.1875 | Validation Accuracy: 0.3388 Epoch 13, CIFAR-10 Batch 1: Loss: 853747.1250 | Validation Accuracy: 0.3356 Epoch 14, CIFAR-10 Batch 1: Loss: 741972.7500 | Validation Accuracy: 0.3336 Epoch 15, CIFAR-10 Batch 1: Loss: 497203.1250 | Validation Accuracy: 0.3480 Epoch 16, CIFAR-10 Batch 1: Loss: 376018.4375 | Validation Accuracy: 0.3540 Epoch 17, CIFAR-10 Batch 1: Loss: 385720.7812 | Validation Accuracy: 0.3550 Epoch 18, CIFAR-10 Batch 1: Loss: 452472.8125 | Validation Accuracy: 0.3616 Epoch 19, CIFAR-10 Batch 1: Loss: 399473.0625 | Validation Accuracy: 0.3582 Epoch 20, CIFAR-10 Batch 1: Loss: 313905.1875 | Validation Accuracy: 0.3554 Epoch 21, CIFAR-10 Batch 1: Loss: 298068.7188 | Validation Accuracy: 0.3540 Epoch 22, CIFAR-10 Batch 1: Loss: 266328.1875 | Validation Accuracy: 0.3574 Epoch 23, CIFAR-10 Batch 1: Loss: 208074.2812 | Validation Accuracy: 0.3632 Epoch 24, CIFAR-10 Batch 1: Loss: 159477.2812 | Validation Accuracy: 0.3614 Epoch 25, CIFAR-10 Batch 1: Loss: 115495.5781 | Validation Accuracy: 0.3814 Epoch 26, CIFAR-10 Batch 1: Loss: 183548.3594 | Validation Accuracy: 0.3686 Epoch 27, CIFAR-10 Batch 1: Loss: 281172.2500 | Validation Accuracy: 0.3692 Epoch 28, CIFAR-10 Batch 1: Loss: 163516.9688 | Validation Accuracy: 0.3872 Epoch 29, CIFAR-10 Batch 1: Loss: 58812.2344 | Validation Accuracy: 0.3834 Epoch 30, CIFAR-10 Batch 1: Loss: 24850.6328 | Validation Accuracy: 0.3872 Epoch 31, CIFAR-10 Batch 1: Loss: 33393.5000 | Validation Accuracy: 0.3790 Epoch 32, CIFAR-10 Batch 1: Loss: 46821.2734 | Validation Accuracy: 0.3854 Epoch 33, CIFAR-10 Batch 1: Loss: 56232.7734 | Validation Accuracy: 0.3798 Epoch 34, CIFAR-10 Batch 1: Loss: 1104.6500 | Validation Accuracy: 0.3858 Epoch 35, CIFAR-10 Batch 1: Loss: 38847.6797 | Validation Accuracy: 0.3806 Epoch 36, CIFAR-10 Batch 1: Loss: 58660.7578 | Validation Accuracy: 0.3696 Epoch 37, CIFAR-10 Batch 1: Loss: 81208.3672 | Validation Accuracy: 0.3580 Epoch 38, CIFAR-10 Batch 1: Loss: 41457.1875 | Validation Accuracy: 0.3710 Epoch 39, CIFAR-10 Batch 1: Loss: 93428.2578 | Validation Accuracy: 0.3696 Epoch 40, CIFAR-10 Batch 1: Loss: 12661.4248 | Validation Accuracy: 0.3896 Epoch 41, CIFAR-10 Batch 1: Loss: 9250.4004 | Validation Accuracy: 0.4012 Epoch 42, CIFAR-10 Batch 1: Loss: 5926.4937 | Validation Accuracy: 0.3984 Epoch 43, CIFAR-10 Batch 1: Loss: 5983.5815 | Validation Accuracy: 0.3866 Epoch 44, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.3926 Epoch 45, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.3886 Epoch 46, CIFAR-10 Batch 1: Loss: 11769.7686 | Validation Accuracy: 0.4038 Epoch 47, CIFAR-10 Batch 1: Loss: 43007.2852 | Validation Accuracy: 0.3914 Epoch 48, CIFAR-10 Batch 1: Loss: 33837.4570 | Validation Accuracy: 0.3814 Epoch 49, CIFAR-10 Batch 1: Loss: 8944.9375 | Validation Accuracy: 0.3678 Epoch 50, CIFAR-10 Batch 1: Loss: 27589.4062 | Validation Accuracy: 0.3768 Epoch 51, CIFAR-10 Batch 1: Loss: 11855.7803 | Validation Accuracy: 0.3920 Epoch 52, CIFAR-10 Batch 1: Loss: 68372.7344 | Validation Accuracy: 0.3910 Epoch 53, CIFAR-10 Batch 1: Loss: 33334.2539 | Validation Accuracy: 0.4024 Epoch 54, CIFAR-10 Batch 1: Loss: 81361.0781 | Validation Accuracy: 0.3774 Epoch 55, CIFAR-10 Batch 1: Loss: 35192.9258 | Validation Accuracy: 0.3952 Epoch 56, CIFAR-10 Batch 1: Loss: 83238.9922 | Validation Accuracy: 0.3908 Epoch 57, CIFAR-10 Batch 1: Loss: 41369.4219 | Validation Accuracy: 0.3924 Epoch 58, CIFAR-10 Batch 1: Loss: 69064.1406 | Validation Accuracy: 0.3802 Epoch 59, CIFAR-10 Batch 1: Loss: 18857.9004 | Validation Accuracy: 0.3884 Epoch 60, CIFAR-10 Batch 1: Loss: 7755.1499 | Validation Accuracy: 0.4074 Epoch 61, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4134 Epoch 62, CIFAR-10 Batch 1: Loss: 1161.6750 | Validation Accuracy: 0.4058 Epoch 63, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4140 Epoch 64, CIFAR-10 Batch 1: Loss: 1369.6376 | Validation Accuracy: 0.4154 Epoch 65, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4088 Epoch 66, CIFAR-10 Batch 1: Loss: 1813.5359 | Validation Accuracy: 0.3978 Epoch 67, CIFAR-10 Batch 1: Loss: 14426.3457 | Validation Accuracy: 0.4028 Epoch 68, CIFAR-10 Batch 1: Loss: 30638.9883 | Validation Accuracy: 0.3974 Epoch 69, CIFAR-10 Batch 1: Loss: 14784.7725 | Validation Accuracy: 0.3930 Epoch 70, CIFAR-10 Batch 1: Loss: 5965.3252 | Validation Accuracy: 0.3812 Epoch 71, CIFAR-10 Batch 1: Loss: 7184.0688 | Validation Accuracy: 0.3980 Epoch 72, CIFAR-10 Batch 1: Loss: 908.6090 | Validation Accuracy: 0.3894 Epoch 73, CIFAR-10 Batch 1: Loss: 37624.5469 | Validation Accuracy: 0.3744 Epoch 74, CIFAR-10 Batch 1: Loss: 7161.6313 | Validation Accuracy: 0.3826 Epoch 75, CIFAR-10 Batch 1: Loss: 25535.7656 | Validation Accuracy: 0.3846 Epoch 76, CIFAR-10 Batch 1: Loss: 4199.4624 | Validation Accuracy: 0.4108 Epoch 77, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4298 Epoch 78, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4274 Epoch 79, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4360 Epoch 80, CIFAR-10 Batch 1: Loss: 1364.3500 | Validation Accuracy: 0.4214 Epoch 81, CIFAR-10 Batch 1: Loss: 3793.6375 | Validation Accuracy: 0.4104 Epoch 82, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4138 Epoch 83, CIFAR-10 Batch 1: Loss: 3199.5249 | Validation Accuracy: 0.4250 Epoch 84, CIFAR-10 Batch 1: Loss: 1548.4563 | Validation Accuracy: 0.4204 Epoch 85, CIFAR-10 Batch 1: Loss: 2886.1750 | Validation Accuracy: 0.4292 Epoch 86, CIFAR-10 Batch 1: Loss: 8598.7627 | Validation Accuracy: 0.4296 Epoch 87, CIFAR-10 Batch 1: Loss: 38606.6016 | Validation Accuracy: 0.4126 Epoch 88, CIFAR-10 Batch 1: Loss: 1460.8563 | Validation Accuracy: 0.4178 Epoch 89, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4280 Epoch 90, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4174 Epoch 91, CIFAR-10 Batch 1: Loss: 1331.5126 | Validation Accuracy: 0.4148 Epoch 92, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4244 Epoch 93, CIFAR-10 Batch 1: Loss: 48.8625 | Validation Accuracy: 0.4350 Epoch 94, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4272 Epoch 95, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4274 Epoch 96, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4168 Epoch 97, CIFAR-10 Batch 1: Loss: 7989.5752 | Validation Accuracy: 0.4110 Epoch 98, CIFAR-10 Batch 1: Loss: 2754.9939 | Validation Accuracy: 0.4148 Epoch 99, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4124 Epoch 100, CIFAR-10 Batch 1: Loss: 717.5187 | Validation Accuracy: 0.4158 Epoch 101, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4086 Epoch 102, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4026 Epoch 103, CIFAR-10 Batch 1: Loss: 47135.2656 | Validation Accuracy: 0.3932 Epoch 104, CIFAR-10 Batch 1: Loss: 16548.6074 | Validation Accuracy: 0.4016 Epoch 105, CIFAR-10 Batch 1: Loss: 52077.7461 | Validation Accuracy: 0.3976 Epoch 106, CIFAR-10 Batch 1: Loss: 12082.5000 | Validation Accuracy: 0.3992 Epoch 107, CIFAR-10 Batch 1: Loss: 8538.6143 | Validation Accuracy: 0.4150 Epoch 108, CIFAR-10 Batch 1: Loss: 3087.3313 | Validation Accuracy: 0.4182 Epoch 109, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4230 Epoch 110, CIFAR-10 Batch 1: Loss: 2837.4375 | Validation Accuracy: 0.4330 Epoch 111, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4324 Epoch 112, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4396 Epoch 113, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4296 Epoch 114, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4220 Epoch 115, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4254 Epoch 116, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4182 Epoch 117, CIFAR-10 Batch 1: Loss: 9306.0254 | Validation Accuracy: 0.4144 Epoch 118, CIFAR-10 Batch 1: Loss: 11543.1250 | Validation Accuracy: 0.4106 Epoch 119, CIFAR-10 Batch 1: Loss: 4012.5000 | Validation Accuracy: 0.3990 Epoch 120, CIFAR-10 Batch 1: Loss: 14465.1191 | Validation Accuracy: 0.4078 Epoch 121, CIFAR-10 Batch 1: Loss: 29612.6621 | Validation Accuracy: 0.3968 Epoch 122, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4042 Epoch 123, CIFAR-10 Batch 1: Loss: 3834.3000 | Validation Accuracy: 0.4074 Epoch 124, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4256 Epoch 125, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4292 Epoch 126, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4444 Epoch 127, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4512 Epoch 128, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4430 Epoch 129, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4448 Epoch 130, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4462 Epoch 131, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4384 Epoch 132, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4446 Epoch 133, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4420 Epoch 134, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4448 Epoch 135, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4416 Epoch 136, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4308 Epoch 137, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4346 Epoch 138, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4520 Epoch 139, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4490 Epoch 140, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4420 Epoch 141, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4422 Epoch 142, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4528 Epoch 143, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4430 Epoch 144, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 145, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4516 Epoch 146, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4506 Epoch 147, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4510 Epoch 148, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 149, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4450 Epoch 150, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4484 Epoch 151, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4520 Epoch 152, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4486 Epoch 153, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4532 Epoch 154, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4534 Epoch 155, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4476 Epoch 156, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4516 Epoch 157, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4388 Epoch 158, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4496 Epoch 159, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4470 Epoch 160, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4416 Epoch 161, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4498 Epoch 162, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4386 Epoch 163, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4496 Epoch 164, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4518 Epoch 165, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4552 Epoch 166, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4510 Epoch 167, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4480 Epoch 168, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4448 Epoch 169, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4452 Epoch 170, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4470 Epoch 171, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4448 Epoch 172, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4472 Epoch 173, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4480 Epoch 174, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4488 Epoch 175, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4490 Epoch 176, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4376 Epoch 177, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4374 Epoch 178, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4464 Epoch 179, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4400 Epoch 180, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4404 Epoch 181, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4376 Epoch 182, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4480 Epoch 183, CIFAR-10 Batch 1: Loss: 9163.1191 | Validation Accuracy: 0.4448 Epoch 184, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4420 Epoch 185, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4448 Epoch 186, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4468 Epoch 187, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4492 Epoch 188, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4488 Epoch 189, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 190, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4498 Epoch 191, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4438 Epoch 192, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4534 Epoch 193, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 194, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4540 Epoch 195, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 196, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4328 Epoch 197, CIFAR-10 Batch 1: Loss: 2025.4250 | Validation Accuracy: 0.4490 Epoch 198, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4412 Epoch 199, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4446 Epoch 200, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4420 Epoch 201, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4416 Epoch 202, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4420 Epoch 203, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4444 Epoch 204, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4482 Epoch 205, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4498 Epoch 206, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4490 Epoch 207, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4464 Epoch 208, CIFAR-10 Batch 1: Loss: 13780.2256 | Validation Accuracy: 0.4440 Epoch 209, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4436 Epoch 210, CIFAR-10 Batch 1: Loss: 29577.2910 | Validation Accuracy: 0.4284 Epoch 211, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4436 Epoch 212, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4604 Epoch 213, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4590 Epoch 214, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4616 Epoch 215, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4508 Epoch 216, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4452 Epoch 217, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4490 Epoch 218, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4508 Epoch 219, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4662 Epoch 220, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4440 Epoch 221, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4606 Epoch 222, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4678 Epoch 223, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4596 Epoch 224, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4606 Epoch 225, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4642 Epoch 226, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4578 Epoch 227, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4542 Epoch 228, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4622 Epoch 229, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4612 Epoch 230, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4628 Epoch 231, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4608 Epoch 232, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4604 Epoch 233, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4532 Epoch 234, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4528 Epoch 235, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4578 Epoch 236, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4472 Epoch 237, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4588 Epoch 238, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4588 Epoch 239, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4566 Epoch 240, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4672 Epoch 241, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4652 Epoch 242, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4482 Epoch 243, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4402 Epoch 244, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4666 Epoch 245, CIFAR-10 Batch 1: Loss: 835.6750 | Validation Accuracy: 0.4504 Epoch 246, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4658 Epoch 247, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4510 Epoch 248, CIFAR-10 Batch 1: Loss: 4004.6875 | Validation Accuracy: 0.4474 Epoch 249, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4560 Epoch 250, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4562 Epoch 251, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4814 Epoch 252, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4524 Epoch 253, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4740 Epoch 254, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4652 Epoch 255, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4542 Epoch 256, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4670 Epoch 257, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4624 Epoch 258, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4656 Epoch 259, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4644 Epoch 260, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4620 Epoch 261, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4460 Epoch 262, CIFAR-10 Batch 1: Loss: 174.8250 | Validation Accuracy: 0.4546 Epoch 263, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4604 Epoch 264, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4538 Epoch 265, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4716 Epoch 266, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4742 Epoch 267, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4674 Epoch 268, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4564 Epoch 269, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4602 Epoch 270, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4652 Epoch 271, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4418 Epoch 272, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4666 Epoch 273, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4712 Epoch 274, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4724 Epoch 275, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4706 Epoch 276, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4674 Epoch 277, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4592 Epoch 278, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4642 Epoch 279, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4598 Epoch 280, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4620 Epoch 281, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4618 Epoch 282, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4726 Epoch 283, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4672 Epoch 284, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4628 Epoch 285, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4762 Epoch 286, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4696 Epoch 287, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4752 Epoch 288, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4436 Epoch 289, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4390 Epoch 290, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4662 Epoch 291, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4668 Epoch 292, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4606 Epoch 293, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4614 Epoch 294, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4792 Epoch 295, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4742 Epoch 296, CIFAR-10 Batch 1: Loss: 23855.9844 | Validation Accuracy: 0.4456 Epoch 297, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4642 Epoch 298, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4656 Epoch 299, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4732 Epoch 300, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4720 Epoch 301, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4770 Epoch 302, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4770 Epoch 303, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4708 Epoch 304, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4638 Epoch 305, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4738 Epoch 306, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4798 Epoch 307, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4818 Epoch 308, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4728 Epoch 309, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4562 Epoch 310, CIFAR-10 Batch 1: Loss: 11695.0879 | Validation Accuracy: 0.4654 Epoch 311, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4794 Epoch 312, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4658 Epoch 313, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4590 Epoch 314, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4746 Epoch 315, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4644 Epoch 316, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4786 Epoch 317, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4690 Epoch 318, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4652 Epoch 319, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4718 Epoch 320, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4782 Epoch 321, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4814 Epoch 322, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4594 Epoch 323, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4530 Epoch 324, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4760 Epoch 325, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4708 Epoch 326, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4680 Epoch 327, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4810 Epoch 328, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4634 Epoch 329, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4700 Epoch 330, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4724 Epoch 331, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4748 Epoch 332, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4850 Epoch 333, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4850 Epoch 334, CIFAR-10 Batch 1: Loss: 3731.2251 | Validation Accuracy: 0.4782 Epoch 335, CIFAR-10 Batch 1: Loss: 5348.8813 | Validation Accuracy: 0.4922 Epoch 336, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4836 Epoch 337, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4874 Epoch 338, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4684 Epoch 339, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4782 Epoch 340, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4872 Epoch 341, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4846 Epoch 342, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4820 Epoch 343, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4704 Epoch 344, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4724 Epoch 345, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4826 Epoch 346, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4700 Epoch 347, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4642 Epoch 348, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4862 Epoch 349, CIFAR-10 Batch 1: Loss: 1122.3750 | Validation Accuracy: 0.4900 Epoch 350, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4876 Epoch 351, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4660 Epoch 352, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4614 Epoch 353, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4806 Epoch 354, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4830 Epoch 355, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4772 Epoch 356, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4774 Epoch 357, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4726 Epoch 358, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4850 Epoch 359, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4720 Epoch 360, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4878 Epoch 361, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4800 Epoch 362, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4906 Epoch 363, CIFAR-10 Batch 1: Loss: 1435.8313 | Validation Accuracy: 0.4890 Epoch 364, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4972 Epoch 365, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4802 Epoch 366, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4894 Epoch 367, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4858 Epoch 368, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4856 Epoch 369, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4898 Epoch 370, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4824 Epoch 371, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4862 Epoch 372, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4808 Epoch 373, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4864 Epoch 374, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4894 Epoch 375, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4888 Epoch 376, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4828 Epoch 377, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4790 Epoch 378, CIFAR-10 Batch 1: Loss: 1153.4000 | Validation Accuracy: 0.4792 Epoch 379, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4858 Epoch 380, CIFAR-10 Batch 1: Loss: 4494.3628 | Validation Accuracy: 0.4816 Epoch 381, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4910 Epoch 382, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4878 Epoch 383, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4866 Epoch 384, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4900 Epoch 385, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4912 Epoch 386, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4768 Epoch 387, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4954 Epoch 388, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4842 Epoch 389, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4870 Epoch 390, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4894 Epoch 391, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4932 Epoch 392, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4846 Epoch 393, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4678 Epoch 394, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4832 Epoch 395, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4846 Epoch 396, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4764 Epoch 397, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 398, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4844 Epoch 399, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4800 Epoch 400, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4814 Epoch 401, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5036 Epoch 402, CIFAR-10 Batch 1: Loss: 4023.9062 | Validation Accuracy: 0.4812 Epoch 403, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4900 Epoch 404, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4916 Epoch 405, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4942 Epoch 406, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4746 Epoch 407, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4792 Epoch 408, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4868 Epoch 409, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4958 Epoch 410, CIFAR-10 Batch 1: Loss: 7767.4688 | Validation Accuracy: 0.4816 Epoch 411, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4886 Epoch 412, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4868 Epoch 413, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4850 Epoch 414, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4928 Epoch 415, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4942 Epoch 416, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4862 Epoch 417, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4652 Epoch 418, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5004 Epoch 419, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4846 Epoch 420, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4950 Epoch 421, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4764 Epoch 422, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4888 Epoch 423, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4932 Epoch 424, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4842 Epoch 425, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4932 Epoch 426, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4924 Epoch 427, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4710 Epoch 428, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4820 Epoch 429, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4968 Epoch 430, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4884 Epoch 431, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4804 Epoch 432, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4880 Epoch 433, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4876 Epoch 434, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4832 Epoch 435, CIFAR-10 Batch 1: Loss: 1403.6750 | Validation Accuracy: 0.4984 Epoch 436, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4888 Epoch 437, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4872 Epoch 438, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4840 Epoch 439, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4974 Epoch 440, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4914 Epoch 441, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4898 Epoch 442, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4760 Epoch 443, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4892 Epoch 444, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4978 Epoch 445, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4766 Epoch 446, CIFAR-10 Batch 1: Loss: 4112.7061 | Validation Accuracy: 0.4852 Epoch 447, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4854 Epoch 448, CIFAR-10 Batch 1: Loss: 14916.0439 | Validation Accuracy: 0.4816 Epoch 449, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4884 Epoch 450, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4928 Epoch 451, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4776 Epoch 452, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4756 Epoch 453, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4858 Epoch 454, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4936 Epoch 455, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4860 Epoch 456, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5008 Epoch 457, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4946 Epoch 458, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4970 Epoch 459, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4948 Epoch 460, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5012 Epoch 461, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4988 Epoch 462, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4960 Epoch 463, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4910 Epoch 464, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4998 Epoch 465, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4940 Epoch 466, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4952 Epoch 467, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4972 Epoch 468, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4944 Epoch 469, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4892 Epoch 470, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4944 Epoch 471, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4912 Epoch 472, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4986 Epoch 473, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4960 Epoch 474, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4882 Epoch 475, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4936 Epoch 476, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4782 Epoch 477, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4934 Epoch 478, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4754 Epoch 479, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4908 Epoch 480, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4908 Epoch 481, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4916 Epoch 482, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4906 Epoch 483, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4962 Epoch 484, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4848 Epoch 485, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4968 Epoch 486, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4818 Epoch 487, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4818 Epoch 488, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4874 Epoch 489, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4982 Epoch 490, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5052 Epoch 491, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4928 Epoch 492, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4950 Epoch 493, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5004 Epoch 494, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5042 Epoch 495, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4850 Epoch 496, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4966 Epoch 497, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4864 Epoch 498, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5048 Epoch 499, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 500, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5000 Epoch 501, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5008 Epoch 502, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5022 Epoch 503, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4958 Epoch 504, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4830 Epoch 505, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5078 Epoch 506, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4778 Epoch 507, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4876 Epoch 508, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4878 Epoch 509, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4876 Epoch 510, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4746 Epoch 511, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4756 Epoch 512, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4938 Epoch 513, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5118 Epoch 514, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5110 Epoch 515, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5036 Epoch 516, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4960 Epoch 517, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4990 Epoch 518, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4896 Epoch 519, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4864 Epoch 520, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4920 Epoch 521, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4904 Epoch 522, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4940 Epoch 523, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4886 Epoch 524, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5068 Epoch 525, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4958 Epoch 526, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4916 Epoch 527, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4994 Epoch 528, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4948 Epoch 529, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5102 Epoch 530, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5100 Epoch 531, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4982 Epoch 532, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5046 Epoch 533, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4896 Epoch 534, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4912 Epoch 535, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5100 Epoch 536, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5118 Epoch 537, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4946 Epoch 538, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4900 Epoch 539, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4908 Epoch 540, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4986 Epoch 541, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4982 Epoch 542, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4994 Epoch 543, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5010 Epoch 544, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5128 Epoch 545, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5018 Epoch 546, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5008 Epoch 547, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5072 Epoch 548, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5058 Epoch 549, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5090 Epoch 550, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 551, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5044 Epoch 552, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4996 Epoch 553, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5056 Epoch 554, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5106 Epoch 555, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5044 Epoch 556, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4990 Epoch 557, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5056 Epoch 558, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5058 Epoch 559, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5050 Epoch 560, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5096 Epoch 561, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5084 Epoch 562, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5074 Epoch 563, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5116 Epoch 564, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5086 Epoch 565, CIFAR-10 Batch 1: Loss: 3122.5376 | Validation Accuracy: 0.4930 Epoch 566, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5034 Epoch 567, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4962 Epoch 568, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4922 Epoch 569, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4968 Epoch 570, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4912 Epoch 571, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4988 Epoch 572, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5084 Epoch 573, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5074 Epoch 574, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5062 Epoch 575, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 576, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5088 Epoch 577, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5112 Epoch 578, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5062 Epoch 579, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5100 Epoch 580, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5062 Epoch 581, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5076 Epoch 582, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5048 Epoch 583, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4984 Epoch 584, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5134 Epoch 585, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5004 Epoch 586, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4898 Epoch 587, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4950 Epoch 588, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4968 Epoch 589, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5088 Epoch 590, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5054 Epoch 591, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5058 Epoch 592, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5112 Epoch 593, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5052 Epoch 594, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5152 Epoch 595, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5010 Epoch 596, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5042 Epoch 597, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4998 Epoch 598, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5112 Epoch 599, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5146 Epoch 600, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5004
Fully Train the Model¶
Now that you got a good accuracy with a single CIFAR-10 batch, try it with all five batches.
In [30]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
save_model_path = './image_classification'
print('Training...')
with tf.Session() as sess:
# Initializing the variables
sess.run(tf.global_variables_initializer())
# Training cycle
for epoch in range(epochs):
# Loop over all batches
n_batches = 5
for batch_i in range(1, n_batches + 1):
for batch_features, batch_labels in helper.load_preprocess_training_batch(batch_i, batch_size):
train_neural_network(sess, optimizer, keep_probability, batch_features, batch_labels)
print('Epoch {:>2}, CIFAR-10 Batch {}: '.format(epoch + 1, batch_i), end='')
print_stats(sess, batch_features, batch_labels, cost, accuracy)
# Save Model
saver = tf.train.Saver()
save_path = saver.save(sess, save_model_path)
Training... Epoch 1, CIFAR-10 Batch 1: Loss: 9956832.0000 | Validation Accuracy: 0.2082 Epoch 1, CIFAR-10 Batch 2: Loss: 7191898.5000 | Validation Accuracy: 0.2162 Epoch 1, CIFAR-10 Batch 3: Loss: 4221985.0000 | Validation Accuracy: 0.2330 Epoch 1, CIFAR-10 Batch 4: Loss: 4074335.5000 | Validation Accuracy: 0.2652 Epoch 1, CIFAR-10 Batch 5: Loss: 3937648.0000 | Validation Accuracy: 0.2662 Epoch 2, CIFAR-10 Batch 1: Loss: 3354672.5000 | Validation Accuracy: 0.2770 Epoch 2, CIFAR-10 Batch 2: Loss: 2727319.5000 | Validation Accuracy: 0.2904 Epoch 2, CIFAR-10 Batch 3: Loss: 2040817.2500 | Validation Accuracy: 0.2858 Epoch 2, CIFAR-10 Batch 4: Loss: 2341578.7500 | Validation Accuracy: 0.2930 Epoch 2, CIFAR-10 Batch 5: Loss: 2579876.5000 | Validation Accuracy: 0.3094 Epoch 3, CIFAR-10 Batch 1: Loss: 1891347.0000 | Validation Accuracy: 0.3220 Epoch 3, CIFAR-10 Batch 2: Loss: 1933275.3750 | Validation Accuracy: 0.3086 Epoch 3, CIFAR-10 Batch 3: Loss: 1289846.6250 | Validation Accuracy: 0.3030 Epoch 3, CIFAR-10 Batch 4: Loss: 1467701.2500 | Validation Accuracy: 0.3184 Epoch 3, CIFAR-10 Batch 5: Loss: 2057952.1250 | Validation Accuracy: 0.3252 Epoch 4, CIFAR-10 Batch 1: Loss: 1444335.0000 | Validation Accuracy: 0.3390 Epoch 4, CIFAR-10 Batch 2: Loss: 1666293.5000 | Validation Accuracy: 0.3276 Epoch 4, CIFAR-10 Batch 3: Loss: 942368.1875 | Validation Accuracy: 0.3342 Epoch 4, CIFAR-10 Batch 4: Loss: 992075.1250 | Validation Accuracy: 0.3254 Epoch 4, CIFAR-10 Batch 5: Loss: 1529174.3750 | Validation Accuracy: 0.3240 Epoch 5, CIFAR-10 Batch 1: Loss: 1289322.2500 | Validation Accuracy: 0.3528 Epoch 5, CIFAR-10 Batch 2: Loss: 1464174.0000 | Validation Accuracy: 0.3550 Epoch 5, CIFAR-10 Batch 3: Loss: 530781.0625 | Validation Accuracy: 0.3478 Epoch 5, CIFAR-10 Batch 4: Loss: 767426.3750 | Validation Accuracy: 0.3380 Epoch 5, CIFAR-10 Batch 5: Loss: 1248462.5000 | Validation Accuracy: 0.3416 Epoch 6, CIFAR-10 Batch 1: Loss: 1044192.1875 | Validation Accuracy: 0.3592 Epoch 6, CIFAR-10 Batch 2: Loss: 1135958.2500 | Validation Accuracy: 0.3612 Epoch 6, CIFAR-10 Batch 3: Loss: 379192.1875 | Validation Accuracy: 0.3426 Epoch 6, CIFAR-10 Batch 4: Loss: 655010.6250 | Validation Accuracy: 0.3594 Epoch 6, CIFAR-10 Batch 5: Loss: 916134.1875 | Validation Accuracy: 0.3592 Epoch 7, CIFAR-10 Batch 1: Loss: 941190.3750 | Validation Accuracy: 0.3782 Epoch 7, CIFAR-10 Batch 2: Loss: 1070413.0000 | Validation Accuracy: 0.3600 Epoch 7, CIFAR-10 Batch 3: Loss: 300293.3750 | Validation Accuracy: 0.3538 Epoch 7, CIFAR-10 Batch 4: Loss: 529209.7500 | Validation Accuracy: 0.3698 Epoch 7, CIFAR-10 Batch 5: Loss: 810232.2500 | Validation Accuracy: 0.3578 Epoch 8, CIFAR-10 Batch 1: Loss: 874262.3750 | Validation Accuracy: 0.3796 Epoch 8, CIFAR-10 Batch 2: Loss: 811665.7500 | Validation Accuracy: 0.3708 Epoch 8, CIFAR-10 Batch 3: Loss: 181262.4844 | Validation Accuracy: 0.3704 Epoch 8, CIFAR-10 Batch 4: Loss: 448394.5312 | Validation Accuracy: 0.3752 Epoch 8, CIFAR-10 Batch 5: Loss: 750253.3125 | Validation Accuracy: 0.3784 Epoch 9, CIFAR-10 Batch 1: Loss: 734779.0000 | Validation Accuracy: 0.3856 Epoch 9, CIFAR-10 Batch 2: Loss: 662555.5625 | Validation Accuracy: 0.3922 Epoch 9, CIFAR-10 Batch 3: Loss: 170513.9688 | Validation Accuracy: 0.3820 Epoch 9, CIFAR-10 Batch 4: Loss: 378316.8750 | Validation Accuracy: 0.3674 Epoch 9, CIFAR-10 Batch 5: Loss: 582423.5625 | Validation Accuracy: 0.3926 Epoch 10, CIFAR-10 Batch 1: Loss: 610519.7500 | Validation Accuracy: 0.3998 Epoch 10, CIFAR-10 Batch 2: Loss: 501700.4688 | Validation Accuracy: 0.3972 Epoch 10, CIFAR-10 Batch 3: Loss: 153876.7969 | Validation Accuracy: 0.3890 Epoch 10, CIFAR-10 Batch 4: Loss: 261544.5781 | Validation Accuracy: 0.3908 Epoch 10, CIFAR-10 Batch 5: Loss: 441437.8125 | Validation Accuracy: 0.3988 Epoch 11, CIFAR-10 Batch 1: Loss: 485362.2500 | Validation Accuracy: 0.3996 Epoch 11, CIFAR-10 Batch 2: Loss: 386430.7500 | Validation Accuracy: 0.4072 Epoch 11, CIFAR-10 Batch 3: Loss: 91166.1094 | Validation Accuracy: 0.3966 Epoch 11, CIFAR-10 Batch 4: Loss: 220770.9844 | Validation Accuracy: 0.4034 Epoch 11, CIFAR-10 Batch 5: Loss: 333682.1250 | Validation Accuracy: 0.4138 Epoch 12, CIFAR-10 Batch 1: Loss: 377142.3750 | Validation Accuracy: 0.4104 Epoch 12, CIFAR-10 Batch 2: Loss: 316922.9688 | Validation Accuracy: 0.4082 Epoch 12, CIFAR-10 Batch 3: Loss: 84507.3281 | Validation Accuracy: 0.4022 Epoch 12, CIFAR-10 Batch 4: Loss: 197603.2969 | Validation Accuracy: 0.4108 Epoch 12, CIFAR-10 Batch 5: Loss: 265175.3125 | Validation Accuracy: 0.4192 Epoch 13, CIFAR-10 Batch 1: Loss: 357307.4062 | Validation Accuracy: 0.4196 Epoch 13, CIFAR-10 Batch 2: Loss: 253461.2188 | Validation Accuracy: 0.4148 Epoch 13, CIFAR-10 Batch 3: Loss: 90482.9688 | Validation Accuracy: 0.4014 Epoch 13, CIFAR-10 Batch 4: Loss: 171658.5156 | Validation Accuracy: 0.4228 Epoch 13, CIFAR-10 Batch 5: Loss: 212295.9844 | Validation Accuracy: 0.4186 Epoch 14, CIFAR-10 Batch 1: Loss: 324295.6875 | Validation Accuracy: 0.4234 Epoch 14, CIFAR-10 Batch 2: Loss: 165296.7188 | Validation Accuracy: 0.4102 Epoch 14, CIFAR-10 Batch 3: Loss: 66124.0547 | Validation Accuracy: 0.4060 Epoch 14, CIFAR-10 Batch 4: Loss: 135533.3125 | Validation Accuracy: 0.4246 Epoch 14, CIFAR-10 Batch 5: Loss: 170686.5781 | Validation Accuracy: 0.4258 Epoch 15, CIFAR-10 Batch 1: Loss: 309562.8125 | Validation Accuracy: 0.4176 Epoch 15, CIFAR-10 Batch 2: Loss: 153685.5000 | Validation Accuracy: 0.4084 Epoch 15, CIFAR-10 Batch 3: Loss: 45315.7969 | Validation Accuracy: 0.4214 Epoch 15, CIFAR-10 Batch 4: Loss: 109687.0859 | Validation Accuracy: 0.4302 Epoch 15, CIFAR-10 Batch 5: Loss: 125645.1875 | Validation Accuracy: 0.4246 Epoch 16, CIFAR-10 Batch 1: Loss: 291810.0625 | Validation Accuracy: 0.4240 Epoch 16, CIFAR-10 Batch 2: Loss: 140452.6719 | Validation Accuracy: 0.4100 Epoch 16, CIFAR-10 Batch 3: Loss: 35426.9805 | Validation Accuracy: 0.4284 Epoch 16, CIFAR-10 Batch 4: Loss: 136007.1562 | Validation Accuracy: 0.4316 Epoch 16, CIFAR-10 Batch 5: Loss: 131312.2969 | Validation Accuracy: 0.4268 Epoch 17, CIFAR-10 Batch 1: Loss: 254823.9531 | Validation Accuracy: 0.4272 Epoch 17, CIFAR-10 Batch 2: Loss: 127397.4062 | Validation Accuracy: 0.4094 Epoch 17, CIFAR-10 Batch 3: Loss: 19328.8555 | Validation Accuracy: 0.4304 Epoch 17, CIFAR-10 Batch 4: Loss: 84538.1250 | Validation Accuracy: 0.4364 Epoch 17, CIFAR-10 Batch 5: Loss: 122042.7422 | Validation Accuracy: 0.4298 Epoch 18, CIFAR-10 Batch 1: Loss: 209359.0781 | Validation Accuracy: 0.4322 Epoch 18, CIFAR-10 Batch 2: Loss: 113406.4297 | Validation Accuracy: 0.4178 Epoch 18, CIFAR-10 Batch 3: Loss: 13940.9219 | Validation Accuracy: 0.4352 Epoch 18, CIFAR-10 Batch 4: Loss: 79685.4062 | Validation Accuracy: 0.4384 Epoch 18, CIFAR-10 Batch 5: Loss: 98374.3125 | Validation Accuracy: 0.4402 Epoch 19, CIFAR-10 Batch 1: Loss: 195032.2500 | Validation Accuracy: 0.4418 Epoch 19, CIFAR-10 Batch 2: Loss: 113640.8672 | Validation Accuracy: 0.4186 Epoch 19, CIFAR-10 Batch 3: Loss: 19572.1230 | Validation Accuracy: 0.4334 Epoch 19, CIFAR-10 Batch 4: Loss: 56404.3320 | Validation Accuracy: 0.4364 Epoch 19, CIFAR-10 Batch 5: Loss: 88312.4453 | Validation Accuracy: 0.4408 Epoch 20, CIFAR-10 Batch 1: Loss: 160403.9219 | Validation Accuracy: 0.4434 Epoch 20, CIFAR-10 Batch 2: Loss: 110474.8125 | Validation Accuracy: 0.4232 Epoch 20, CIFAR-10 Batch 3: Loss: 10301.3311 | Validation Accuracy: 0.4410 Epoch 20, CIFAR-10 Batch 4: Loss: 57310.4570 | Validation Accuracy: 0.4412 Epoch 20, CIFAR-10 Batch 5: Loss: 91191.3672 | Validation Accuracy: 0.4476 Epoch 21, CIFAR-10 Batch 1: Loss: 143712.5156 | Validation Accuracy: 0.4500 Epoch 21, CIFAR-10 Batch 2: Loss: 107942.2266 | Validation Accuracy: 0.4222 Epoch 21, CIFAR-10 Batch 3: Loss: 9477.9121 | Validation Accuracy: 0.4486 Epoch 21, CIFAR-10 Batch 4: Loss: 40547.2812 | Validation Accuracy: 0.4398 Epoch 21, CIFAR-10 Batch 5: Loss: 100842.7188 | Validation Accuracy: 0.4442 Epoch 22, CIFAR-10 Batch 1: Loss: 127069.5547 | Validation Accuracy: 0.4532 Epoch 22, CIFAR-10 Batch 2: Loss: 87754.8906 | Validation Accuracy: 0.4270 Epoch 22, CIFAR-10 Batch 3: Loss: 10735.2285 | Validation Accuracy: 0.4494 Epoch 22, CIFAR-10 Batch 4: Loss: 48641.1484 | Validation Accuracy: 0.4468 Epoch 22, CIFAR-10 Batch 5: Loss: 69132.7266 | Validation Accuracy: 0.4550 Epoch 23, CIFAR-10 Batch 1: Loss: 142133.4531 | Validation Accuracy: 0.4490 Epoch 23, CIFAR-10 Batch 2: Loss: 77485.6953 | Validation Accuracy: 0.4272 Epoch 23, CIFAR-10 Batch 3: Loss: 8780.2061 | Validation Accuracy: 0.4474 Epoch 23, CIFAR-10 Batch 4: Loss: 24460.6602 | Validation Accuracy: 0.4516 Epoch 23, CIFAR-10 Batch 5: Loss: 59939.5977 | Validation Accuracy: 0.4458 Epoch 24, CIFAR-10 Batch 1: Loss: 111338.9141 | Validation Accuracy: 0.4544 Epoch 24, CIFAR-10 Batch 2: Loss: 69918.3203 | Validation Accuracy: 0.4304 Epoch 24, CIFAR-10 Batch 3: Loss: 8670.5840 | Validation Accuracy: 0.4412 Epoch 24, CIFAR-10 Batch 4: Loss: 19188.0527 | Validation Accuracy: 0.4500 Epoch 24, CIFAR-10 Batch 5: Loss: 43028.3281 | Validation Accuracy: 0.4486 Epoch 25, CIFAR-10 Batch 1: Loss: 91742.7188 | Validation Accuracy: 0.4570 Epoch 25, CIFAR-10 Batch 2: Loss: 51011.5703 | Validation Accuracy: 0.4298 Epoch 25, CIFAR-10 Batch 3: Loss: 1907.2313 | Validation Accuracy: 0.4314 Epoch 25, CIFAR-10 Batch 4: Loss: 29114.5391 | Validation Accuracy: 0.4520 Epoch 25, CIFAR-10 Batch 5: Loss: 31401.4863 | Validation Accuracy: 0.4540 Epoch 26, CIFAR-10 Batch 1: Loss: 79359.2578 | Validation Accuracy: 0.4682 Epoch 26, CIFAR-10 Batch 2: Loss: 50222.8320 | Validation Accuracy: 0.4434 Epoch 26, CIFAR-10 Batch 3: Loss: 6195.5591 | Validation Accuracy: 0.4370 Epoch 26, CIFAR-10 Batch 4: Loss: 19264.5801 | Validation Accuracy: 0.4582 Epoch 26, CIFAR-10 Batch 5: Loss: 36235.4219 | Validation Accuracy: 0.4526 Epoch 27, CIFAR-10 Batch 1: Loss: 62535.0273 | Validation Accuracy: 0.4630 Epoch 27, CIFAR-10 Batch 2: Loss: 56458.1484 | Validation Accuracy: 0.4454 Epoch 27, CIFAR-10 Batch 3: Loss: 8937.6416 | Validation Accuracy: 0.4394 Epoch 27, CIFAR-10 Batch 4: Loss: 30868.5508 | Validation Accuracy: 0.4440 Epoch 27, CIFAR-10 Batch 5: Loss: 33234.6484 | Validation Accuracy: 0.4592 Epoch 28, CIFAR-10 Batch 1: Loss: 58339.0156 | Validation Accuracy: 0.4636 Epoch 28, CIFAR-10 Batch 2: Loss: 44563.5156 | Validation Accuracy: 0.4522 Epoch 28, CIFAR-10 Batch 3: Loss: 4959.1499 | Validation Accuracy: 0.4432 Epoch 28, CIFAR-10 Batch 4: Loss: 22333.0215 | Validation Accuracy: 0.4466 Epoch 28, CIFAR-10 Batch 5: Loss: 34620.7422 | Validation Accuracy: 0.4706 Epoch 29, CIFAR-10 Batch 1: Loss: 57990.4609 | Validation Accuracy: 0.4714 Epoch 29, CIFAR-10 Batch 2: Loss: 44764.9648 | Validation Accuracy: 0.4578 Epoch 29, CIFAR-10 Batch 3: Loss: 9182.0879 | Validation Accuracy: 0.4434 Epoch 29, CIFAR-10 Batch 4: Loss: 25452.3008 | Validation Accuracy: 0.4570 Epoch 29, CIFAR-10 Batch 5: Loss: 23520.0137 | Validation Accuracy: 0.4648 Epoch 30, CIFAR-10 Batch 1: Loss: 40527.7188 | Validation Accuracy: 0.4764 Epoch 30, CIFAR-10 Batch 2: Loss: 38206.9375 | Validation Accuracy: 0.4432 Epoch 30, CIFAR-10 Batch 3: Loss: 5675.2217 | Validation Accuracy: 0.4480 Epoch 30, CIFAR-10 Batch 4: Loss: 11610.2900 | Validation Accuracy: 0.4676 Epoch 30, CIFAR-10 Batch 5: Loss: 20668.8496 | Validation Accuracy: 0.4714 Epoch 31, CIFAR-10 Batch 1: Loss: 30701.8828 | Validation Accuracy: 0.4758 Epoch 31, CIFAR-10 Batch 2: Loss: 39914.1406 | Validation Accuracy: 0.4400 Epoch 31, CIFAR-10 Batch 3: Loss: 4022.2642 | Validation Accuracy: 0.4500 Epoch 31, CIFAR-10 Batch 4: Loss: 4662.1797 | Validation Accuracy: 0.4662 Epoch 31, CIFAR-10 Batch 5: Loss: 20298.1797 | Validation Accuracy: 0.4680 Epoch 32, CIFAR-10 Batch 1: Loss: 33427.9023 | Validation Accuracy: 0.4690 Epoch 32, CIFAR-10 Batch 2: Loss: 35837.1250 | Validation Accuracy: 0.4296 Epoch 32, CIFAR-10 Batch 3: Loss: 3209.1157 | Validation Accuracy: 0.4592 Epoch 32, CIFAR-10 Batch 4: Loss: 3134.0845 | Validation Accuracy: 0.4484 Epoch 32, CIFAR-10 Batch 5: Loss: 8181.3223 | Validation Accuracy: 0.4716 Epoch 33, CIFAR-10 Batch 1: Loss: 22996.8477 | Validation Accuracy: 0.4662 Epoch 33, CIFAR-10 Batch 2: Loss: 33003.9375 | Validation Accuracy: 0.4434 Epoch 33, CIFAR-10 Batch 3: Loss: 1230.5829 | Validation Accuracy: 0.4550 Epoch 33, CIFAR-10 Batch 4: Loss: 2693.1846 | Validation Accuracy: 0.4548 Epoch 33, CIFAR-10 Batch 5: Loss: 7689.9507 | Validation Accuracy: 0.4774 Epoch 34, CIFAR-10 Batch 1: Loss: 18215.0996 | Validation Accuracy: 0.4652 Epoch 34, CIFAR-10 Batch 2: Loss: 14955.1035 | Validation Accuracy: 0.4582 Epoch 34, CIFAR-10 Batch 3: Loss: 2154.0688 | Validation Accuracy: 0.4536 Epoch 34, CIFAR-10 Batch 4: Loss: 1196.9813 | Validation Accuracy: 0.4626 Epoch 34, CIFAR-10 Batch 5: Loss: 4513.0596 | Validation Accuracy: 0.4794 Epoch 35, CIFAR-10 Batch 1: Loss: 20914.8730 | Validation Accuracy: 0.4742 Epoch 35, CIFAR-10 Batch 2: Loss: 6508.6406 | Validation Accuracy: 0.4658 Epoch 35, CIFAR-10 Batch 3: Loss: 2377.2820 | Validation Accuracy: 0.4486 Epoch 35, CIFAR-10 Batch 4: Loss: 1203.8063 | Validation Accuracy: 0.4694 Epoch 35, CIFAR-10 Batch 5: Loss: 4289.7373 | Validation Accuracy: 0.4828 Epoch 36, CIFAR-10 Batch 1: Loss: 23098.0547 | Validation Accuracy: 0.4772 Epoch 36, CIFAR-10 Batch 2: Loss: 4924.0625 | Validation Accuracy: 0.4686 Epoch 36, CIFAR-10 Batch 3: Loss: 684.4125 | Validation Accuracy: 0.4652 Epoch 36, CIFAR-10 Batch 4: Loss: 200.9531 | Validation Accuracy: 0.4708 Epoch 36, CIFAR-10 Batch 5: Loss: 4750.4565 | Validation Accuracy: 0.4860 Epoch 37, CIFAR-10 Batch 1: Loss: 18942.4648 | Validation Accuracy: 0.4768 Epoch 37, CIFAR-10 Batch 2: Loss: 6828.7695 | Validation Accuracy: 0.4672 Epoch 37, CIFAR-10 Batch 3: Loss: 2939.5391 | Validation Accuracy: 0.4626 Epoch 37, CIFAR-10 Batch 4: Loss: 2037.5500 | Validation Accuracy: 0.4720 Epoch 37, CIFAR-10 Batch 5: Loss: 8116.4873 | Validation Accuracy: 0.4848 Epoch 38, CIFAR-10 Batch 1: Loss: 22579.3574 | Validation Accuracy: 0.4766 Epoch 38, CIFAR-10 Batch 2: Loss: 7577.7593 | Validation Accuracy: 0.4628 Epoch 38, CIFAR-10 Batch 3: Loss: 2849.4812 | Validation Accuracy: 0.4632 Epoch 38, CIFAR-10 Batch 4: Loss: 8553.1758 | Validation Accuracy: 0.4776 Epoch 38, CIFAR-10 Batch 5: Loss: 2589.7437 | Validation Accuracy: 0.4856 Epoch 39, CIFAR-10 Batch 1: Loss: 21141.1016 | Validation Accuracy: 0.4714 Epoch 39, CIFAR-10 Batch 2: Loss: 3332.7141 | Validation Accuracy: 0.4590 Epoch 39, CIFAR-10 Batch 3: Loss: 1577.1594 | Validation Accuracy: 0.4664 Epoch 39, CIFAR-10 Batch 4: Loss: 1236.7219 | Validation Accuracy: 0.4718 Epoch 39, CIFAR-10 Batch 5: Loss: 9015.5312 | Validation Accuracy: 0.4882 Epoch 40, CIFAR-10 Batch 1: Loss: 6938.0239 | Validation Accuracy: 0.4834 Epoch 40, CIFAR-10 Batch 2: Loss: 10409.1475 | Validation Accuracy: 0.4684 Epoch 40, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4762 Epoch 40, CIFAR-10 Batch 4: Loss: 7553.7031 | Validation Accuracy: 0.4658 Epoch 40, CIFAR-10 Batch 5: Loss: 1614.2219 | Validation Accuracy: 0.4958 Epoch 41, CIFAR-10 Batch 1: Loss: 3860.3906 | Validation Accuracy: 0.4796 Epoch 41, CIFAR-10 Batch 2: Loss: 5601.3511 | Validation Accuracy: 0.4628 Epoch 41, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4790 Epoch 41, CIFAR-10 Batch 4: Loss: 16022.6123 | Validation Accuracy: 0.4590 Epoch 41, CIFAR-10 Batch 5: Loss: 2508.8391 | Validation Accuracy: 0.4738 Epoch 42, CIFAR-10 Batch 1: Loss: 8601.6250 | Validation Accuracy: 0.4756 Epoch 42, CIFAR-10 Batch 2: Loss: 8046.1377 | Validation Accuracy: 0.4674 Epoch 42, CIFAR-10 Batch 3: Loss: 1014.7266 | Validation Accuracy: 0.4740 Epoch 42, CIFAR-10 Batch 4: Loss: 17885.6855 | Validation Accuracy: 0.4488 Epoch 42, CIFAR-10 Batch 5: Loss: 2840.1965 | Validation Accuracy: 0.4762 Epoch 43, CIFAR-10 Batch 1: Loss: 4038.9885 | Validation Accuracy: 0.4832 Epoch 43, CIFAR-10 Batch 2: Loss: 10993.8535 | Validation Accuracy: 0.4808 Epoch 43, CIFAR-10 Batch 3: Loss: 2105.8445 | Validation Accuracy: 0.4634 Epoch 43, CIFAR-10 Batch 4: Loss: 17127.4121 | Validation Accuracy: 0.4384 Epoch 43, CIFAR-10 Batch 5: Loss: 5054.1460 | Validation Accuracy: 0.4772 Epoch 44, CIFAR-10 Batch 1: Loss: 1216.5328 | Validation Accuracy: 0.4952 Epoch 44, CIFAR-10 Batch 2: Loss: 4180.0796 | Validation Accuracy: 0.4914 Epoch 44, CIFAR-10 Batch 3: Loss: 508.8680 | Validation Accuracy: 0.4694 Epoch 44, CIFAR-10 Batch 4: Loss: 1329.3375 | Validation Accuracy: 0.4516 Epoch 44, CIFAR-10 Batch 5: Loss: 12335.0137 | Validation Accuracy: 0.4676 Epoch 45, CIFAR-10 Batch 1: Loss: 687.1984 | Validation Accuracy: 0.4802 Epoch 45, CIFAR-10 Batch 2: Loss: 6273.9009 | Validation Accuracy: 0.4644 Epoch 45, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4740 Epoch 45, CIFAR-10 Batch 4: Loss: 2229.7344 | Validation Accuracy: 0.4526 Epoch 45, CIFAR-10 Batch 5: Loss: 2893.5344 | Validation Accuracy: 0.4672 Epoch 46, CIFAR-10 Batch 1: Loss: 565.7092 | Validation Accuracy: 0.4800 Epoch 46, CIFAR-10 Batch 2: Loss: 3481.6228 | Validation Accuracy: 0.4744 Epoch 46, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4932 Epoch 46, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4570 Epoch 46, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4782 Epoch 47, CIFAR-10 Batch 1: Loss: 2020.8798 | Validation Accuracy: 0.4862 Epoch 47, CIFAR-10 Batch 2: Loss: 657.1719 | Validation Accuracy: 0.4798 Epoch 47, CIFAR-10 Batch 3: Loss: 444.7969 | Validation Accuracy: 0.4932 Epoch 47, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4656 Epoch 47, CIFAR-10 Batch 5: Loss: 1367.5797 | Validation Accuracy: 0.4836 Epoch 48, CIFAR-10 Batch 1: Loss: 3049.2852 | Validation Accuracy: 0.4792 Epoch 48, CIFAR-10 Batch 2: Loss: 1349.3812 | Validation Accuracy: 0.4912 Epoch 48, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4940 Epoch 48, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4800 Epoch 48, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4724 Epoch 49, CIFAR-10 Batch 1: Loss: 13859.2891 | Validation Accuracy: 0.4842 Epoch 49, CIFAR-10 Batch 2: Loss: 662.7750 | Validation Accuracy: 0.4874 Epoch 49, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4874 Epoch 49, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4898 Epoch 49, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4780 Epoch 50, CIFAR-10 Batch 1: Loss: 8304.3047 | Validation Accuracy: 0.4830 Epoch 50, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4938 Epoch 50, CIFAR-10 Batch 3: Loss: 66.1129 | Validation Accuracy: 0.4832 Epoch 50, CIFAR-10 Batch 4: Loss: 785.9932 | Validation Accuracy: 0.4842 Epoch 50, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4828 Epoch 51, CIFAR-10 Batch 1: Loss: 17319.4043 | Validation Accuracy: 0.4686 Epoch 51, CIFAR-10 Batch 2: Loss: 2218.6516 | Validation Accuracy: 0.4916 Epoch 51, CIFAR-10 Batch 3: Loss: 5.2906 | Validation Accuracy: 0.4768 Epoch 51, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4870 Epoch 51, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4856 Epoch 52, CIFAR-10 Batch 1: Loss: 3964.4893 | Validation Accuracy: 0.4738 Epoch 52, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4906 Epoch 52, CIFAR-10 Batch 3: Loss: 2728.5398 | Validation Accuracy: 0.4586 Epoch 52, CIFAR-10 Batch 4: Loss: 1060.1039 | Validation Accuracy: 0.4912 Epoch 52, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4886 Epoch 53, CIFAR-10 Batch 1: Loss: 96.0531 | Validation Accuracy: 0.4936 Epoch 53, CIFAR-10 Batch 2: Loss: 471.2406 | Validation Accuracy: 0.4808 Epoch 53, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4788 Epoch 53, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4830 Epoch 53, CIFAR-10 Batch 5: Loss: 221.9367 | Validation Accuracy: 0.4862 Epoch 54, CIFAR-10 Batch 1: Loss: 1774.5931 | Validation Accuracy: 0.4898 Epoch 54, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4900 Epoch 54, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4730 Epoch 54, CIFAR-10 Batch 4: Loss: 3944.5657 | Validation Accuracy: 0.4800 Epoch 54, CIFAR-10 Batch 5: Loss: 1108.4879 | Validation Accuracy: 0.4950 Epoch 55, CIFAR-10 Batch 1: Loss: 872.9467 | Validation Accuracy: 0.4878 Epoch 55, CIFAR-10 Batch 2: Loss: 376.3594 | Validation Accuracy: 0.5002 Epoch 55, CIFAR-10 Batch 3: Loss: 2639.3271 | Validation Accuracy: 0.4738 Epoch 55, CIFAR-10 Batch 4: Loss: 460.4875 | Validation Accuracy: 0.4898 Epoch 55, CIFAR-10 Batch 5: Loss: 3185.4209 | Validation Accuracy: 0.4948 Epoch 56, CIFAR-10 Batch 1: Loss: 1267.5962 | Validation Accuracy: 0.4722 Epoch 56, CIFAR-10 Batch 2: Loss: 318.2895 | Validation Accuracy: 0.4932 Epoch 56, CIFAR-10 Batch 3: Loss: 1549.7556 | Validation Accuracy: 0.4776 Epoch 56, CIFAR-10 Batch 4: Loss: 1172.3641 | Validation Accuracy: 0.4912 Epoch 56, CIFAR-10 Batch 5: Loss: 4992.4072 | Validation Accuracy: 0.4982 Epoch 57, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4728 Epoch 57, CIFAR-10 Batch 2: Loss: 2969.9983 | Validation Accuracy: 0.4838 Epoch 57, CIFAR-10 Batch 3: Loss: 374.5020 | Validation Accuracy: 0.4872 Epoch 57, CIFAR-10 Batch 4: Loss: 1511.6188 | Validation Accuracy: 0.4836 Epoch 57, CIFAR-10 Batch 5: Loss: 3868.7368 | Validation Accuracy: 0.4982 Epoch 58, CIFAR-10 Batch 1: Loss: 1505.1188 | Validation Accuracy: 0.4720 Epoch 58, CIFAR-10 Batch 2: Loss: 719.6650 | Validation Accuracy: 0.4660 Epoch 58, CIFAR-10 Batch 3: Loss: 2750.5312 | Validation Accuracy: 0.4792 Epoch 58, CIFAR-10 Batch 4: Loss: 3297.2681 | Validation Accuracy: 0.4884 Epoch 58, CIFAR-10 Batch 5: Loss: 644.8469 | Validation Accuracy: 0.4928 Epoch 59, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4870 Epoch 59, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4758 Epoch 59, CIFAR-10 Batch 3: Loss: 528.9532 | Validation Accuracy: 0.4848 Epoch 59, CIFAR-10 Batch 4: Loss: 3699.3064 | Validation Accuracy: 0.4914 Epoch 59, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4584 Epoch 60, CIFAR-10 Batch 1: Loss: 1327.0579 | Validation Accuracy: 0.4954 Epoch 60, CIFAR-10 Batch 2: Loss: 2133.4165 | Validation Accuracy: 0.4722 Epoch 60, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4990 Epoch 60, CIFAR-10 Batch 4: Loss: 3212.0469 | Validation Accuracy: 0.4950 Epoch 60, CIFAR-10 Batch 5: Loss: 851.2097 | Validation Accuracy: 0.4748 Epoch 61, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4922 Epoch 61, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4868 Epoch 61, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5058 Epoch 61, CIFAR-10 Batch 4: Loss: 148.1789 | Validation Accuracy: 0.4970 Epoch 61, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4864 Epoch 62, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4820 Epoch 62, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4818 Epoch 62, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5006 Epoch 62, CIFAR-10 Batch 4: Loss: 584.5594 | Validation Accuracy: 0.4830 Epoch 62, CIFAR-10 Batch 5: Loss: 64.4969 | Validation Accuracy: 0.4956 Epoch 63, CIFAR-10 Batch 1: Loss: 309.2953 | Validation Accuracy: 0.4798 Epoch 63, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4698 Epoch 63, CIFAR-10 Batch 3: Loss: 704.3113 | Validation Accuracy: 0.4982 Epoch 63, CIFAR-10 Batch 4: Loss: 1626.8855 | Validation Accuracy: 0.4684 Epoch 63, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4994 Epoch 64, CIFAR-10 Batch 1: Loss: 329.0031 | Validation Accuracy: 0.4782 Epoch 64, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4736 Epoch 64, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4992 Epoch 64, CIFAR-10 Batch 4: Loss: 2072.0813 | Validation Accuracy: 0.4672 Epoch 64, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5042 Epoch 65, CIFAR-10 Batch 1: Loss: 131.1316 | Validation Accuracy: 0.4918 Epoch 65, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4748 Epoch 65, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4926 Epoch 65, CIFAR-10 Batch 4: Loss: 537.4031 | Validation Accuracy: 0.4906 Epoch 65, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4956 Epoch 66, CIFAR-10 Batch 1: Loss: 1969.1754 | Validation Accuracy: 0.4950 Epoch 66, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4654 Epoch 66, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4918 Epoch 66, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5066 Epoch 66, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5068 Epoch 67, CIFAR-10 Batch 1: Loss: 2662.3047 | Validation Accuracy: 0.4956 Epoch 67, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4634 Epoch 67, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4952 Epoch 67, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5016 Epoch 67, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4990 Epoch 68, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4980 Epoch 68, CIFAR-10 Batch 2: Loss: 474.6758 | Validation Accuracy: 0.4594 Epoch 68, CIFAR-10 Batch 3: Loss: 697.7770 | Validation Accuracy: 0.4956 Epoch 68, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4988 Epoch 68, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4830 Epoch 69, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4934 Epoch 69, CIFAR-10 Batch 2: Loss: 288.0305 | Validation Accuracy: 0.4562 Epoch 69, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4866 Epoch 69, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4958 Epoch 69, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4726 Epoch 70, CIFAR-10 Batch 1: Loss: 740.8315 | Validation Accuracy: 0.4852 Epoch 70, CIFAR-10 Batch 2: Loss: 1221.7266 | Validation Accuracy: 0.4618 Epoch 70, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4896 Epoch 70, CIFAR-10 Batch 4: Loss: 356.7516 | Validation Accuracy: 0.5008 Epoch 70, CIFAR-10 Batch 5: Loss: 1203.6367 | Validation Accuracy: 0.4702 Epoch 71, CIFAR-10 Batch 1: Loss: 713.3879 | Validation Accuracy: 0.4824 Epoch 71, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4692 Epoch 71, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4794 Epoch 71, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4944 Epoch 71, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4662 Epoch 72, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4870 Epoch 72, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4682 Epoch 72, CIFAR-10 Batch 3: Loss: 387.3570 | Validation Accuracy: 0.4786 Epoch 72, CIFAR-10 Batch 4: Loss: 92.1152 | Validation Accuracy: 0.5004 Epoch 72, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4792 Epoch 73, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4736 Epoch 73, CIFAR-10 Batch 2: Loss: 2351.6755 | Validation Accuracy: 0.4730 Epoch 73, CIFAR-10 Batch 3: Loss: 1441.4062 | Validation Accuracy: 0.4902 Epoch 73, CIFAR-10 Batch 4: Loss: 1686.6449 | Validation Accuracy: 0.4978 Epoch 73, CIFAR-10 Batch 5: Loss: 578.6258 | Validation Accuracy: 0.4748 Epoch 74, CIFAR-10 Batch 1: Loss: 946.8344 | Validation Accuracy: 0.4772 Epoch 74, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4872 Epoch 74, CIFAR-10 Batch 3: Loss: 1140.4481 | Validation Accuracy: 0.4808 Epoch 74, CIFAR-10 Batch 4: Loss: 2103.6172 | Validation Accuracy: 0.4936 Epoch 74, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 75, CIFAR-10 Batch 1: Loss: 7.0420 | Validation Accuracy: 0.4844 Epoch 75, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4934 Epoch 75, CIFAR-10 Batch 3: Loss: 3185.1108 | Validation Accuracy: 0.4886 Epoch 75, CIFAR-10 Batch 4: Loss: 3614.0820 | Validation Accuracy: 0.4588 Epoch 75, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5064 Epoch 76, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4904 Epoch 76, CIFAR-10 Batch 2: Loss: 944.0773 | Validation Accuracy: 0.4910 Epoch 76, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5036 Epoch 76, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5098 Epoch 76, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5118 Epoch 77, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5072 Epoch 77, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4836 Epoch 77, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5090 Epoch 77, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5084 Epoch 77, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 78, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4950 Epoch 78, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4838 Epoch 78, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5120 Epoch 78, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5062 Epoch 78, CIFAR-10 Batch 5: Loss: 1943.6898 | Validation Accuracy: 0.4892 Epoch 79, CIFAR-10 Batch 1: Loss: 571.1828 | Validation Accuracy: 0.5090 Epoch 79, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4868 Epoch 79, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5156 Epoch 79, CIFAR-10 Batch 4: Loss: 458.2875 | Validation Accuracy: 0.4878 Epoch 79, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5040 Epoch 80, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5044 Epoch 80, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4986 Epoch 80, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5088 Epoch 80, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4956 Epoch 80, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5044 Epoch 81, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5126 Epoch 81, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5038 Epoch 81, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5018 Epoch 81, CIFAR-10 Batch 4: Loss: 71.4973 | Validation Accuracy: 0.5038 Epoch 81, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5034 Epoch 82, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5084 Epoch 82, CIFAR-10 Batch 2: Loss: 1104.2797 | Validation Accuracy: 0.5030 Epoch 82, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4960 Epoch 82, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.4984 Epoch 82, CIFAR-10 Batch 5: Loss: 2934.8630 | Validation Accuracy: 0.4928 Epoch 83, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4998 Epoch 83, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4994 Epoch 83, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4910 Epoch 83, CIFAR-10 Batch 4: Loss: 686.4617 | Validation Accuracy: 0.4858 Epoch 83, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4952 Epoch 84, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4932 Epoch 84, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5008 Epoch 84, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4786 Epoch 84, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5032 Epoch 84, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.4970 Epoch 85, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.4890 Epoch 85, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5078 Epoch 85, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4942 Epoch 85, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5052 Epoch 85, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5006 Epoch 86, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5022 Epoch 86, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5062 Epoch 86, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5014 Epoch 86, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5058 Epoch 86, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5146 Epoch 87, CIFAR-10 Batch 1: Loss: 926.7906 | Validation Accuracy: 0.5016 Epoch 87, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 87, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5014 Epoch 87, CIFAR-10 Batch 4: Loss: 287.0820 | Validation Accuracy: 0.5040 Epoch 87, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5106 Epoch 88, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5146 Epoch 88, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 88, CIFAR-10 Batch 3: Loss: 315.9078 | Validation Accuracy: 0.5102 Epoch 88, CIFAR-10 Batch 4: Loss: 670.0273 | Validation Accuracy: 0.5088 Epoch 88, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 89, CIFAR-10 Batch 1: Loss: 1587.3622 | Validation Accuracy: 0.5096 Epoch 89, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4906 Epoch 89, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4988 Epoch 89, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5100 Epoch 89, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 90, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5092 Epoch 90, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5000 Epoch 90, CIFAR-10 Batch 3: Loss: 154.2121 | Validation Accuracy: 0.4906 Epoch 90, CIFAR-10 Batch 4: Loss: 777.2410 | Validation Accuracy: 0.5080 Epoch 90, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5108 Epoch 91, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5020 Epoch 91, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4958 Epoch 91, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4912 Epoch 91, CIFAR-10 Batch 4: Loss: 505.3011 | Validation Accuracy: 0.5126 Epoch 91, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5182 Epoch 92, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5046 Epoch 92, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 92, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4960 Epoch 92, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5150 Epoch 92, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5182 Epoch 93, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5108 Epoch 93, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.4974 Epoch 93, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4948 Epoch 93, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5208 Epoch 93, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5070 Epoch 94, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5160 Epoch 94, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 94, CIFAR-10 Batch 3: Loss: 64.7344 | Validation Accuracy: 0.5068 Epoch 94, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5180 Epoch 94, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5190 Epoch 95, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5136 Epoch 95, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5132 Epoch 95, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4996 Epoch 95, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5184 Epoch 95, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 96, CIFAR-10 Batch 1: Loss: 93.3258 | Validation Accuracy: 0.5230 Epoch 96, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5030 Epoch 96, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5064 Epoch 96, CIFAR-10 Batch 4: Loss: 2491.0537 | Validation Accuracy: 0.5126 Epoch 96, CIFAR-10 Batch 5: Loss: 53.9516 | Validation Accuracy: 0.5196 Epoch 97, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5158 Epoch 97, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 97, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5090 Epoch 97, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5078 Epoch 97, CIFAR-10 Batch 5: Loss: 606.4094 | Validation Accuracy: 0.5156 Epoch 98, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 98, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5020 Epoch 98, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 98, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5016 Epoch 98, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5148 Epoch 99, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5222 Epoch 99, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5066 Epoch 99, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5074 Epoch 99, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5066 Epoch 99, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5232 Epoch 100, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5140 Epoch 100, CIFAR-10 Batch 2: Loss: 3767.6455 | Validation Accuracy: 0.5122 Epoch 100, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5120 Epoch 100, CIFAR-10 Batch 4: Loss: 766.3258 | Validation Accuracy: 0.5078 Epoch 100, CIFAR-10 Batch 5: Loss: 1462.6250 | Validation Accuracy: 0.5294 Epoch 101, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5202 Epoch 101, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5016 Epoch 101, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5136 Epoch 101, CIFAR-10 Batch 4: Loss: 1163.4408 | Validation Accuracy: 0.5018 Epoch 101, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5264 Epoch 102, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5250 Epoch 102, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5112 Epoch 102, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5000 Epoch 102, CIFAR-10 Batch 4: Loss: 193.9438 | Validation Accuracy: 0.5104 Epoch 102, CIFAR-10 Batch 5: Loss: 902.9141 | Validation Accuracy: 0.5228 Epoch 103, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5270 Epoch 103, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5092 Epoch 103, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.4990 Epoch 103, CIFAR-10 Batch 4: Loss: 570.6547 | Validation Accuracy: 0.5100 Epoch 103, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5162 Epoch 104, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5190 Epoch 104, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5104 Epoch 104, CIFAR-10 Batch 3: Loss: 151.2119 | Validation Accuracy: 0.4856 Epoch 104, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5142 Epoch 104, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5270 Epoch 105, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5234 Epoch 105, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 105, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5102 Epoch 105, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 105, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5212 Epoch 106, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 106, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5142 Epoch 106, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5104 Epoch 106, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5138 Epoch 106, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5198 Epoch 107, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5196 Epoch 107, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5066 Epoch 107, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5138 Epoch 107, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5136 Epoch 107, CIFAR-10 Batch 5: Loss: 15.6398 | Validation Accuracy: 0.5024 Epoch 108, CIFAR-10 Batch 1: Loss: 160.9484 | Validation Accuracy: 0.5172 Epoch 108, CIFAR-10 Batch 2: Loss: 318.7738 | Validation Accuracy: 0.5244 Epoch 108, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5236 Epoch 108, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5184 Epoch 108, CIFAR-10 Batch 5: Loss: 997.6930 | Validation Accuracy: 0.5244 Epoch 109, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5108 Epoch 109, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5236 Epoch 109, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5116 Epoch 109, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5160 Epoch 109, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5190 Epoch 110, CIFAR-10 Batch 1: Loss: 928.5251 | Validation Accuracy: 0.5172 Epoch 110, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5128 Epoch 110, CIFAR-10 Batch 3: Loss: 21.8559 | Validation Accuracy: 0.5156 Epoch 110, CIFAR-10 Batch 4: Loss: 352.3453 | Validation Accuracy: 0.5186 Epoch 110, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5254 Epoch 111, CIFAR-10 Batch 1: Loss: 464.7919 | Validation Accuracy: 0.5122 Epoch 111, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5174 Epoch 111, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5238 Epoch 111, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5138 Epoch 111, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5332 Epoch 112, CIFAR-10 Batch 1: Loss: 1038.1152 | Validation Accuracy: 0.5088 Epoch 112, CIFAR-10 Batch 2: Loss: 215.8859 | Validation Accuracy: 0.5232 Epoch 112, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5210 Epoch 112, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5296 Epoch 112, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5266 Epoch 113, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5184 Epoch 113, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5204 Epoch 113, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5158 Epoch 113, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5160 Epoch 113, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5390 Epoch 114, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5176 Epoch 114, CIFAR-10 Batch 2: Loss: 128.7961 | Validation Accuracy: 0.5192 Epoch 114, CIFAR-10 Batch 3: Loss: 299.7625 | Validation Accuracy: 0.5162 Epoch 114, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5020 Epoch 114, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5310 Epoch 115, CIFAR-10 Batch 1: Loss: 1520.7987 | Validation Accuracy: 0.5270 Epoch 115, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5078 Epoch 115, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5232 Epoch 115, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5088 Epoch 115, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 116, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5270 Epoch 116, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5152 Epoch 116, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5196 Epoch 116, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5200 Epoch 116, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5350 Epoch 117, CIFAR-10 Batch 1: Loss: 133.5262 | Validation Accuracy: 0.5290 Epoch 117, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5280 Epoch 117, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5082 Epoch 117, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5172 Epoch 117, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5314 Epoch 118, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5280 Epoch 118, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5222 Epoch 118, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5124 Epoch 118, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 118, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5438 Epoch 119, CIFAR-10 Batch 1: Loss: 131.8938 | Validation Accuracy: 0.5316 Epoch 119, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5148 Epoch 119, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5120 Epoch 119, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5196 Epoch 119, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5330 Epoch 120, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5314 Epoch 120, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5134 Epoch 120, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5080 Epoch 120, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5230 Epoch 120, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5256 Epoch 121, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5264 Epoch 121, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5194 Epoch 121, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5034 Epoch 121, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5288 Epoch 121, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5352 Epoch 122, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 122, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5054 Epoch 122, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5032 Epoch 122, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5272 Epoch 122, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 123, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5326 Epoch 123, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5140 Epoch 123, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5110 Epoch 123, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5302 Epoch 123, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5220 Epoch 124, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5272 Epoch 124, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5246 Epoch 124, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5174 Epoch 124, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5194 Epoch 124, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5318 Epoch 125, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5262 Epoch 125, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5300 Epoch 125, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5236 Epoch 125, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5250 Epoch 125, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5312 Epoch 126, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 126, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5150 Epoch 126, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5286 Epoch 126, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5234 Epoch 126, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 127, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5384 Epoch 127, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5214 Epoch 127, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5162 Epoch 127, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5254 Epoch 127, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5352 Epoch 128, CIFAR-10 Batch 1: Loss: 604.6918 | Validation Accuracy: 0.5262 Epoch 128, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5266 Epoch 128, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5314 Epoch 128, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5156 Epoch 128, CIFAR-10 Batch 5: Loss: 92.0521 | Validation Accuracy: 0.5292 Epoch 129, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5308 Epoch 129, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5314 Epoch 129, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5224 Epoch 129, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5266 Epoch 129, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5272 Epoch 130, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5266 Epoch 130, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5280 Epoch 130, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5234 Epoch 130, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5166 Epoch 130, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5306 Epoch 131, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 131, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5130 Epoch 131, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5262 Epoch 131, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5250 Epoch 131, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5280 Epoch 132, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5340 Epoch 132, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5296 Epoch 132, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5092 Epoch 132, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5270 Epoch 132, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5398 Epoch 133, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5322 Epoch 133, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5256 Epoch 133, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5276 Epoch 133, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5198 Epoch 133, CIFAR-10 Batch 5: Loss: 363.9840 | Validation Accuracy: 0.5394 Epoch 134, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5308 Epoch 134, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5266 Epoch 134, CIFAR-10 Batch 3: Loss: 469.6926 | Validation Accuracy: 0.5162 Epoch 134, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5260 Epoch 134, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5346 Epoch 135, CIFAR-10 Batch 1: Loss: 586.3388 | Validation Accuracy: 0.5244 Epoch 135, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5188 Epoch 135, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5220 Epoch 135, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5192 Epoch 135, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5380 Epoch 136, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5312 Epoch 136, CIFAR-10 Batch 2: Loss: 347.8141 | Validation Accuracy: 0.5236 Epoch 136, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5156 Epoch 136, CIFAR-10 Batch 4: Loss: 65.4563 | Validation Accuracy: 0.5194 Epoch 136, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5236 Epoch 137, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5260 Epoch 137, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5232 Epoch 137, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5342 Epoch 137, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5308 Epoch 137, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5332 Epoch 138, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 138, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5168 Epoch 138, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5240 Epoch 138, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5286 Epoch 138, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5274 Epoch 139, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5348 Epoch 139, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5330 Epoch 139, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5190 Epoch 139, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5232 Epoch 139, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5312 Epoch 140, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 140, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5380 Epoch 140, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5286 Epoch 140, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5126 Epoch 140, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5330 Epoch 141, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5258 Epoch 141, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5390 Epoch 141, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5284 Epoch 141, CIFAR-10 Batch 4: Loss: 36.2637 | Validation Accuracy: 0.5278 Epoch 141, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5326 Epoch 142, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5388 Epoch 142, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5294 Epoch 142, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5318 Epoch 142, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5256 Epoch 142, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5232 Epoch 143, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 143, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 143, CIFAR-10 Batch 3: Loss: 257.9774 | Validation Accuracy: 0.5168 Epoch 143, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5284 Epoch 143, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 144, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 144, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5222 Epoch 144, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5254 Epoch 144, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5334 Epoch 144, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5270 Epoch 145, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5342 Epoch 145, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5328 Epoch 145, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5288 Epoch 145, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5226 Epoch 145, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5320 Epoch 146, CIFAR-10 Batch 1: Loss: 4123.2080 | Validation Accuracy: 0.5416 Epoch 146, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 146, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5238 Epoch 146, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5274 Epoch 146, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5366 Epoch 147, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5400 Epoch 147, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5336 Epoch 147, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5338 Epoch 147, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5346 Epoch 147, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5348 Epoch 148, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5490 Epoch 148, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5444 Epoch 148, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5306 Epoch 148, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5348 Epoch 148, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5288 Epoch 149, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5472 Epoch 149, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5350 Epoch 149, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 149, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5342 Epoch 149, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5352 Epoch 150, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5464 Epoch 150, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5292 Epoch 150, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5350 Epoch 150, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5298 Epoch 150, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5248 Epoch 151, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5404 Epoch 151, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5434 Epoch 151, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5202 Epoch 151, CIFAR-10 Batch 4: Loss: 986.8449 | Validation Accuracy: 0.5396 Epoch 151, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5440 Epoch 152, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5370 Epoch 152, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5302 Epoch 152, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5238 Epoch 152, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5204 Epoch 152, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5278 Epoch 153, CIFAR-10 Batch 1: Loss: 702.0149 | Validation Accuracy: 0.5358 Epoch 153, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5382 Epoch 153, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 153, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 153, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5454 Epoch 154, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 154, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5456 Epoch 154, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5348 Epoch 154, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5316 Epoch 154, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 155, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5384 Epoch 155, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5376 Epoch 155, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5280 Epoch 155, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 155, CIFAR-10 Batch 5: Loss: 558.2441 | Validation Accuracy: 0.5416 Epoch 156, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 156, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 156, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5436 Epoch 156, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5092 Epoch 156, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 157, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5480 Epoch 157, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5390 Epoch 157, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5416 Epoch 157, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5300 Epoch 157, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5404 Epoch 158, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 158, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5378 Epoch 158, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5252 Epoch 158, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5250 Epoch 158, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5428 Epoch 159, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 159, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5422 Epoch 159, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5426 Epoch 159, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 159, CIFAR-10 Batch 5: Loss: 528.2016 | Validation Accuracy: 0.5284 Epoch 160, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 160, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5294 Epoch 160, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5352 Epoch 160, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5234 Epoch 160, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5492 Epoch 161, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5426 Epoch 161, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5302 Epoch 161, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5246 Epoch 161, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5354 Epoch 161, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 162, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5478 Epoch 162, CIFAR-10 Batch 2: Loss: 473.4734 | Validation Accuracy: 0.5358 Epoch 162, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5230 Epoch 162, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5340 Epoch 162, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 163, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 163, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5466 Epoch 163, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5340 Epoch 163, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5208 Epoch 163, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5474 Epoch 164, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5398 Epoch 164, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5454 Epoch 164, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5404 Epoch 164, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5386 Epoch 164, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 165, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 165, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5474 Epoch 165, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5358 Epoch 165, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5398 Epoch 165, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 166, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 166, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5488 Epoch 166, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5350 Epoch 166, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5302 Epoch 166, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5462 Epoch 167, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5480 Epoch 167, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5390 Epoch 167, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5254 Epoch 167, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5374 Epoch 167, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 168, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5420 Epoch 168, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5328 Epoch 168, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 168, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5120 Epoch 168, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5350 Epoch 169, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 169, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 169, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5260 Epoch 169, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5338 Epoch 169, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5454 Epoch 170, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 170, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5472 Epoch 170, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5332 Epoch 170, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5372 Epoch 170, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5464 Epoch 171, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 171, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5326 Epoch 171, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5292 Epoch 171, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5268 Epoch 171, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 172, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 172, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5366 Epoch 172, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5344 Epoch 172, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5338 Epoch 172, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5384 Epoch 173, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5398 Epoch 173, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5340 Epoch 173, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5378 Epoch 173, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5328 Epoch 173, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 174, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5334 Epoch 174, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 174, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 174, CIFAR-10 Batch 4: Loss: 978.9633 | Validation Accuracy: 0.5454 Epoch 174, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 175, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5400 Epoch 175, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 175, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5360 Epoch 175, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5256 Epoch 175, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5444 Epoch 176, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 176, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5416 Epoch 176, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5416 Epoch 176, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5282 Epoch 176, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5454 Epoch 177, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5436 Epoch 177, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5422 Epoch 177, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5380 Epoch 177, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5250 Epoch 177, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 178, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 178, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5490 Epoch 178, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5420 Epoch 178, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5268 Epoch 178, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5404 Epoch 179, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 179, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5434 Epoch 179, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 179, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5202 Epoch 179, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5420 Epoch 180, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5476 Epoch 180, CIFAR-10 Batch 2: Loss: 996.8500 | Validation Accuracy: 0.5476 Epoch 180, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5436 Epoch 180, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5394 Epoch 180, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 181, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5434 Epoch 181, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 181, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5440 Epoch 181, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5334 Epoch 181, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5492 Epoch 182, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 182, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 182, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 182, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5422 Epoch 182, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 183, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 183, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5554 Epoch 183, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5356 Epoch 183, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5490 Epoch 183, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 184, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5464 Epoch 184, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 184, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5474 Epoch 184, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5174 Epoch 184, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5480 Epoch 185, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5580 Epoch 185, CIFAR-10 Batch 2: Loss: 264.6831 | Validation Accuracy: 0.5384 Epoch 185, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5424 Epoch 185, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 185, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5422 Epoch 186, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5488 Epoch 186, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 186, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5372 Epoch 186, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5376 Epoch 186, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5332 Epoch 187, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5424 Epoch 187, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5558 Epoch 187, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5434 Epoch 187, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5260 Epoch 187, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5470 Epoch 188, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5500 Epoch 188, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5466 Epoch 188, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 188, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5382 Epoch 188, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 189, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 189, CIFAR-10 Batch 2: Loss: 222.3711 | Validation Accuracy: 0.5564 Epoch 189, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5440 Epoch 189, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 189, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 190, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 190, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 190, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5478 Epoch 190, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 190, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 191, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 191, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 191, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5386 Epoch 191, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 191, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5440 Epoch 192, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5430 Epoch 192, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 192, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 192, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5322 Epoch 192, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 193, CIFAR-10 Batch 1: Loss: 804.3051 | Validation Accuracy: 0.5458 Epoch 193, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5500 Epoch 193, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 193, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5440 Epoch 193, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 194, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5376 Epoch 194, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 194, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5416 Epoch 194, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5394 Epoch 194, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 195, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5430 Epoch 195, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 195, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 195, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5328 Epoch 195, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 196, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 196, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5542 Epoch 196, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 196, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 196, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 197, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5590 Epoch 197, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5590 Epoch 197, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5456 Epoch 197, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 197, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5478 Epoch 198, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5462 Epoch 198, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 198, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5408 Epoch 198, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5376 Epoch 198, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5456 Epoch 199, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5456 Epoch 199, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 199, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 199, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5334 Epoch 199, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 200, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 200, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 200, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5410 Epoch 200, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5482 Epoch 200, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5290 Epoch 201, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5476 Epoch 201, CIFAR-10 Batch 2: Loss: 165.2336 | Validation Accuracy: 0.5452 Epoch 201, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5466 Epoch 201, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5374 Epoch 201, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 202, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5552 Epoch 202, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 202, CIFAR-10 Batch 3: Loss: 148.0971 | Validation Accuracy: 0.5440 Epoch 202, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5392 Epoch 202, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5510 Epoch 203, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 203, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 203, CIFAR-10 Batch 3: Loss: 659.1633 | Validation Accuracy: 0.5524 Epoch 203, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 203, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 204, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5524 Epoch 204, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5594 Epoch 204, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5424 Epoch 204, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5470 Epoch 204, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5542 Epoch 205, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5438 Epoch 205, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5470 Epoch 205, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 205, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5354 Epoch 205, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5400 Epoch 206, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 206, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5538 Epoch 206, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5538 Epoch 206, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5376 Epoch 206, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5570 Epoch 207, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 207, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5572 Epoch 207, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 207, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 207, CIFAR-10 Batch 5: Loss: 580.7924 | Validation Accuracy: 0.5518 Epoch 208, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 208, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5512 Epoch 208, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 208, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5336 Epoch 208, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 209, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5434 Epoch 209, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5596 Epoch 209, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5378 Epoch 209, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5496 Epoch 209, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 210, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5496 Epoch 210, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 210, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 210, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5402 Epoch 210, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 211, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5572 Epoch 211, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 211, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5438 Epoch 211, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 211, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5466 Epoch 212, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 212, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 212, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 212, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 212, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 213, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5406 Epoch 213, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 213, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5320 Epoch 213, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 213, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 214, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 214, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 214, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 214, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 214, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 215, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 215, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5444 Epoch 215, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 215, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5394 Epoch 215, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 216, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 216, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 216, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5530 Epoch 216, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5390 Epoch 216, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 217, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5510 Epoch 217, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 217, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 217, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5406 Epoch 217, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5360 Epoch 218, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5510 Epoch 218, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 218, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5556 Epoch 218, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 218, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 219, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 219, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 219, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 219, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5382 Epoch 219, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 220, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 220, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 220, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 220, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5482 Epoch 220, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5394 Epoch 221, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 221, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5628 Epoch 221, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 221, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 221, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 222, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 222, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5594 Epoch 222, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 222, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 222, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 223, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 223, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5572 Epoch 223, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5422 Epoch 223, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 223, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5466 Epoch 224, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5614 Epoch 224, CIFAR-10 Batch 2: Loss: 860.6313 | Validation Accuracy: 0.5528 Epoch 224, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 224, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5556 Epoch 224, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5564 Epoch 225, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 225, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 225, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 225, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5490 Epoch 225, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5474 Epoch 226, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 226, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 226, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 226, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5412 Epoch 226, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5556 Epoch 227, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 227, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 227, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 227, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5572 Epoch 227, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 228, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5558 Epoch 228, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 228, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 228, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 228, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 229, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 229, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 229, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5558 Epoch 229, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 229, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 230, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 230, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 230, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 230, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 230, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 231, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5538 Epoch 231, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 231, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5462 Epoch 231, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 231, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5364 Epoch 232, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 232, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 232, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 232, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 232, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5566 Epoch 233, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5598 Epoch 233, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 233, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5570 Epoch 233, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5472 Epoch 233, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 234, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5508 Epoch 234, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 234, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 234, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 234, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 235, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5570 Epoch 235, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 235, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5472 Epoch 235, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5362 Epoch 235, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 236, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 236, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 236, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5552 Epoch 236, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5542 Epoch 236, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5414 Epoch 237, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 237, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 237, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 237, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 237, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 238, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 238, CIFAR-10 Batch 2: Loss: 426.9255 | Validation Accuracy: 0.5382 Epoch 238, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 238, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5530 Epoch 238, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5380 Epoch 239, CIFAR-10 Batch 1: Loss: 438.1016 | Validation Accuracy: 0.5494 Epoch 239, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 239, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5492 Epoch 239, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5228 Epoch 239, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 240, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 240, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 240, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5480 Epoch 240, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5462 Epoch 240, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5512 Epoch 241, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 241, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 241, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 241, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 241, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 242, CIFAR-10 Batch 1: Loss: 352.4898 | Validation Accuracy: 0.5554 Epoch 242, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 242, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5530 Epoch 242, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 242, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 243, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 243, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 243, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 243, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 243, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 244, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 244, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 244, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 244, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5576 Epoch 244, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5462 Epoch 245, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 245, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 245, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 245, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5400 Epoch 245, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5380 Epoch 246, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 246, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 246, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5554 Epoch 246, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 246, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 247, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 247, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 247, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5570 Epoch 247, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5488 Epoch 247, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5488 Epoch 248, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 248, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5614 Epoch 248, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5548 Epoch 248, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 248, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 249, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5614 Epoch 249, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 249, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5620 Epoch 249, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 249, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 250, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5630 Epoch 250, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 250, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 250, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5368 Epoch 250, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5448 Epoch 251, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 251, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 251, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5604 Epoch 251, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5458 Epoch 251, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 252, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5610 Epoch 252, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 252, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 252, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5490 Epoch 252, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 253, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 253, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5604 Epoch 253, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5610 Epoch 253, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5496 Epoch 253, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 254, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 254, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5488 Epoch 254, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5458 Epoch 254, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 254, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5450 Epoch 255, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 255, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 255, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 255, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 255, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 256, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 256, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 256, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 256, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 256, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 257, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 257, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 257, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5556 Epoch 257, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 257, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5428 Epoch 258, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 258, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 258, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5564 Epoch 258, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 258, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 259, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 259, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 259, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5576 Epoch 259, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5460 Epoch 259, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 260, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5610 Epoch 260, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5396 Epoch 260, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 260, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 260, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5424 Epoch 261, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 261, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 261, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 261, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5504 Epoch 261, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 262, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 262, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 262, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 262, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 262, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5492 Epoch 263, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5508 Epoch 263, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 263, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5512 Epoch 263, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 263, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5536 Epoch 264, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5600 Epoch 264, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 264, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 264, CIFAR-10 Batch 4: Loss: 283.9031 | Validation Accuracy: 0.5538 Epoch 264, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5496 Epoch 265, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 265, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 265, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5514 Epoch 265, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 265, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5430 Epoch 266, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 266, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 266, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5484 Epoch 266, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 266, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 267, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 267, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5590 Epoch 267, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 267, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 267, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5520 Epoch 268, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 268, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 268, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 268, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 268, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 269, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 269, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5630 Epoch 269, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5580 Epoch 269, CIFAR-10 Batch 4: Loss: 272.6441 | Validation Accuracy: 0.5472 Epoch 269, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5468 Epoch 270, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 270, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5628 Epoch 270, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5552 Epoch 270, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5496 Epoch 270, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 271, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 271, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5570 Epoch 271, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 271, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5538 Epoch 271, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 272, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 272, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5628 Epoch 272, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5508 Epoch 272, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5530 Epoch 272, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5436 Epoch 273, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 273, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5554 Epoch 273, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 273, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 273, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 274, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 274, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 274, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 274, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 274, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 275, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5598 Epoch 275, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 275, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 275, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 275, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 276, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 276, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 276, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5442 Epoch 276, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5614 Epoch 276, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 277, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5544 Epoch 277, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 277, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 277, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5392 Epoch 277, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5618 Epoch 278, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5576 Epoch 278, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 278, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 278, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 278, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5522 Epoch 279, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 279, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 279, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5566 Epoch 279, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 279, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5482 Epoch 280, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 280, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 280, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 280, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5598 Epoch 280, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5478 Epoch 281, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5502 Epoch 281, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 281, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5564 Epoch 281, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5594 Epoch 281, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 282, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 282, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 282, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 282, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5504 Epoch 282, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 283, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5618 Epoch 283, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 283, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 283, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 283, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 284, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 284, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 284, CIFAR-10 Batch 3: Loss: 84.2195 | Validation Accuracy: 0.5536 Epoch 284, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 284, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 285, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 285, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 285, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 285, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 285, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 286, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 286, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5722 Epoch 286, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 286, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 286, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5618 Epoch 287, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 287, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 287, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5564 Epoch 287, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 287, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5620 Epoch 288, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 288, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5630 Epoch 288, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 288, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 288, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 289, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 289, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 289, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 289, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5470 Epoch 289, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5576 Epoch 290, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 290, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 290, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 290, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5528 Epoch 290, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5556 Epoch 291, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 291, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 291, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 291, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5540 Epoch 291, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5566 Epoch 292, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 292, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 292, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 292, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 292, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5452 Epoch 293, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5596 Epoch 293, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 293, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 293, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5486 Epoch 293, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5482 Epoch 294, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5620 Epoch 294, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 294, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5572 Epoch 294, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 294, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 295, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5600 Epoch 295, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 295, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 295, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 295, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5518 Epoch 296, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 296, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 296, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5652 Epoch 296, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 296, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 297, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5630 Epoch 297, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 297, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 297, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5604 Epoch 297, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5418 Epoch 298, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 298, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 298, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 298, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 298, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 299, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 299, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 299, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 299, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 299, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5546 Epoch 300, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 300, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5586 Epoch 300, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5576 Epoch 300, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5594 Epoch 300, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 301, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 301, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 301, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5566 Epoch 301, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 301, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5426 Epoch 302, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5618 Epoch 302, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 302, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 302, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 302, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5574 Epoch 303, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 303, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 303, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 303, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 303, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5566 Epoch 304, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 304, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 304, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 304, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 304, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 305, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 305, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 305, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 305, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5618 Epoch 305, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5500 Epoch 306, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 306, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 306, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 306, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 306, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 307, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 307, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 307, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 307, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 307, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 308, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 308, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 308, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 308, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 308, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5446 Epoch 309, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 309, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 309, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 309, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 309, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 310, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 310, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 310, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 310, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 310, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 311, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 311, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 311, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 311, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 311, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5526 Epoch 312, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 312, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 312, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 312, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 312, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 313, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 313, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 313, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 313, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 313, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 314, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 314, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 314, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 314, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 314, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 315, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5722 Epoch 315, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 315, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 315, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 315, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 316, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 316, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 316, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 316, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5626 Epoch 316, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 317, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 317, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 317, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 317, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 317, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 318, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 318, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 318, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 318, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5596 Epoch 318, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 319, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5598 Epoch 319, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5568 Epoch 319, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 319, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 319, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 320, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 320, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 320, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 320, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 320, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5610 Epoch 321, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 321, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 321, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 321, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 321, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 322, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 322, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 322, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 322, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 322, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 323, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 323, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 323, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 323, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 323, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 324, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5534 Epoch 324, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 324, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 324, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 324, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 325, CIFAR-10 Batch 1: Loss: 261.1820 | Validation Accuracy: 0.5748 Epoch 325, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 325, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 325, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 325, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 326, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 326, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 326, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 326, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5498 Epoch 326, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5590 Epoch 327, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 327, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 327, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 327, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 327, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5630 Epoch 328, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 328, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 328, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5592 Epoch 328, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 328, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 329, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 329, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 329, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 329, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 329, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 330, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 330, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 330, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 330, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 330, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 331, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 331, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 331, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 331, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 331, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 332, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 332, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 332, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 332, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5616 Epoch 332, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5722 Epoch 333, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 333, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 333, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 333, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 333, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 334, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 334, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 334, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 334, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 334, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 335, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 335, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 335, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 335, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 335, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5676 Epoch 336, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 336, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 336, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 336, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 336, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 337, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 337, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 337, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 337, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 337, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5620 Epoch 338, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5628 Epoch 338, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 338, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 338, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 338, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 339, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 339, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 339, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 339, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 339, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 340, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 340, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 340, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 340, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 340, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 341, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 341, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 341, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 341, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 341, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 342, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 342, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 342, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 342, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 342, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 343, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 343, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 343, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 343, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 343, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 344, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 344, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5652 Epoch 344, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 344, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 344, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 345, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 345, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 345, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 345, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 345, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 346, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 346, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5652 Epoch 346, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 346, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5604 Epoch 346, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 347, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 347, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 347, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 347, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 347, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 348, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5578 Epoch 348, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 348, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 348, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 348, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 349, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5646 Epoch 349, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5614 Epoch 349, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5606 Epoch 349, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 349, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 350, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 350, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 350, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 350, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 350, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 351, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 351, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 351, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 351, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 351, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 352, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 352, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 352, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 352, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 352, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 353, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 353, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 353, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 353, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 353, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 354, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 354, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 354, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 354, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 354, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 355, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 355, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 355, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 355, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 355, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 356, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 356, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 356, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 356, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 356, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 357, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 357, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 357, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 357, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 357, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 358, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 358, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 358, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 358, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 358, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 359, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 359, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 359, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 359, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 359, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 360, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 360, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 360, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 360, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 360, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 361, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 361, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 361, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 361, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 361, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 362, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 362, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 362, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 362, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 362, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 363, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 363, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5688 Epoch 363, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 363, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 363, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 364, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 364, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 364, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 364, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 364, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 365, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 365, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 365, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 365, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 365, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 366, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 366, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 366, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 366, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 366, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 367, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5688 Epoch 367, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 367, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 367, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 367, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 368, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 368, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 368, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 368, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 368, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 369, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 369, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 369, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 369, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 369, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 370, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 370, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 370, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 370, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 370, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 371, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 371, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 371, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 371, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 371, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 372, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 372, CIFAR-10 Batch 2: Loss: 465.2211 | Validation Accuracy: 0.5708 Epoch 372, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 372, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 372, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 373, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 373, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 373, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 373, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 373, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 374, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 374, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 374, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 374, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 374, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 375, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 375, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 375, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 375, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 375, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 376, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 376, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 376, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 376, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 376, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 377, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 377, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 377, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 377, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 377, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 378, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 378, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 378, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 378, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 378, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 379, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 379, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 379, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 379, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 379, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 380, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 380, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 380, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 380, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 380, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 381, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 381, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 381, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 381, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 381, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 382, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 382, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 382, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 382, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 382, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 383, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 383, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 383, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 383, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 383, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 384, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 384, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 384, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 384, CIFAR-10 Batch 4: Loss: 196.7754 | Validation Accuracy: 0.5706 Epoch 384, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 385, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 385, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 385, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 385, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 385, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 386, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 386, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 386, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 386, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 386, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 387, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 387, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 387, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 387, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 387, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 388, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 388, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 388, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 388, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 388, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 389, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 389, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 389, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 389, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 389, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 390, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 390, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 390, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 390, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 390, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 391, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 391, CIFAR-10 Batch 2: Loss: 151.3515 | Validation Accuracy: 0.5724 Epoch 391, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 391, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 391, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 392, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 392, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 392, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 392, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 392, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 393, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 393, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 393, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 393, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 393, CIFAR-10 Batch 5: Loss: 15.3077 | Validation Accuracy: 0.5726 Epoch 394, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 394, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 394, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 394, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 394, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 395, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 395, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 395, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 395, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 395, CIFAR-10 Batch 5: Loss: 214.6339 | Validation Accuracy: 0.5572 Epoch 396, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 396, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 396, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 396, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 396, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 397, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 397, CIFAR-10 Batch 2: Loss: 557.1469 | Validation Accuracy: 0.5706 Epoch 397, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 397, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 397, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 398, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 398, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 398, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 398, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 398, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 399, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 399, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 399, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 399, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 399, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 400, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 400, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 400, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 400, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 400, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 401, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 401, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 401, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 401, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 401, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 402, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 402, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 402, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 402, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 402, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 403, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 403, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 403, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 403, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 403, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 404, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 404, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 404, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 404, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 404, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 405, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 405, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 405, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 405, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 405, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 406, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 406, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 406, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 406, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 406, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 407, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 407, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 407, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 407, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 407, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 408, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 408, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 408, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 408, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 408, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 409, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 409, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 409, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 409, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 409, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 410, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 410, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 410, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 410, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 410, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 411, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 411, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 411, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 411, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 411, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 412, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 412, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 412, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 412, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 412, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 413, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 413, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 413, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 413, CIFAR-10 Batch 4: Loss: 298.5016 | Validation Accuracy: 0.5772 Epoch 413, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 414, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 414, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 414, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 414, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 414, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 415, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 415, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 415, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 415, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 415, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 416, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 416, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5936 Epoch 416, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 416, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 416, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 417, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 417, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 417, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 417, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 417, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 418, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 418, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 418, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 418, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 418, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 419, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 419, CIFAR-10 Batch 2: Loss: 133.0121 | Validation Accuracy: 0.5750 Epoch 419, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 419, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 419, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 420, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 420, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 420, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 420, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 420, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 421, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 421, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 421, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 421, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 421, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 422, CIFAR-10 Batch 1: Loss: 38.1316 | Validation Accuracy: 0.5836 Epoch 422, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 422, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 422, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 422, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 423, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 423, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 423, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 423, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 423, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 424, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 424, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 424, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 424, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 424, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 425, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 425, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 425, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 425, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 425, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 426, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 426, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 426, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 426, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 426, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 427, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 427, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 427, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 427, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 427, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 428, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 428, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 428, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 428, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 428, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 429, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 429, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 429, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 429, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 429, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 430, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 430, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 430, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 430, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 430, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 431, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 431, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 431, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 431, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 431, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 432, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 432, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 432, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 432, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 432, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 433, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 433, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 433, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 433, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 433, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 434, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 434, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 434, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 434, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 434, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 435, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 435, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 435, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 435, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 435, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 436, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 436, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 436, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 436, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 436, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 437, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 437, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 437, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 437, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 437, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 438, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 438, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 438, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 438, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 438, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 439, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 439, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 439, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 439, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 439, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 440, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 440, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 440, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 440, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 440, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 441, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 441, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 441, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 441, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 441, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 442, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 442, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 442, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 442, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 442, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 443, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 443, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 443, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 443, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 443, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 444, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 444, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 444, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 444, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 444, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 445, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 445, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 445, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 445, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 445, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 446, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 446, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 446, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 446, CIFAR-10 Batch 4: Loss: 18.0859 | Validation Accuracy: 0.5752 Epoch 446, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 447, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 447, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 447, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 447, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 447, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 448, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 448, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 448, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 448, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 448, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 449, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 449, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 449, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 449, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 449, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 450, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 450, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 450, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 450, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 450, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 451, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 451, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 451, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 451, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 451, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 452, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 452, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 452, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 452, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 452, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 453, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 453, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 453, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 453, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 453, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 454, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 454, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 454, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 454, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 454, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 455, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 455, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 455, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 455, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 455, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 456, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 456, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 456, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 456, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 456, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 457, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 457, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 457, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 457, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 457, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 458, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 458, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 458, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 458, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 458, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 459, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 459, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 459, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 459, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 459, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 460, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 460, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 460, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 460, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 460, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 461, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 461, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 461, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 461, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 461, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 462, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 462, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 462, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 462, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5914 Epoch 462, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 463, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 463, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 463, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 463, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 463, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 464, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 464, CIFAR-10 Batch 2: Loss: 1324.2480 | Validation Accuracy: 0.5752 Epoch 464, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 464, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 464, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 465, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 465, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 465, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 465, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 465, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 466, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 466, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 466, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 466, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 466, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 467, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 467, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 467, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 467, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 467, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 468, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 468, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 468, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 468, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 468, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 469, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 469, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 469, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 469, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 469, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 470, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 470, CIFAR-10 Batch 2: Loss: 108.4684 | Validation Accuracy: 0.5772 Epoch 470, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 470, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 470, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 471, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 471, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 471, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 471, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 471, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 472, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 472, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 472, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 472, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 472, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 473, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 473, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 473, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 473, CIFAR-10 Batch 4: Loss: 993.8922 | Validation Accuracy: 0.5770 Epoch 473, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 474, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 474, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 474, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 474, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 474, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 475, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 475, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 475, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 475, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 475, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 476, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 476, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 476, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 476, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 476, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 477, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 477, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 477, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 477, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 477, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 478, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 478, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 478, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 478, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 478, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 479, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 479, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 479, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 479, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 479, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 480, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 480, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 480, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 480, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 480, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 481, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 481, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 481, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 481, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 481, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 482, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 482, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 482, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 482, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 482, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 483, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 483, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 483, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 483, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 483, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 484, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 484, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 484, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 484, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 484, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 485, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 485, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 485, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 485, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 485, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 486, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 486, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 486, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 486, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 486, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 487, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 487, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 487, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 487, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 487, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 488, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 488, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5600 Epoch 488, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 488, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 488, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 489, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 489, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 489, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 489, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 489, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 490, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 490, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 490, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 490, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 490, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 491, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 491, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 491, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 491, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 491, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 492, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 492, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 492, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 492, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 492, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 493, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 493, CIFAR-10 Batch 2: Loss: 157.3156 | Validation Accuracy: 0.5854 Epoch 493, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 493, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 493, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 494, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 494, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 494, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 494, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 494, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 495, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 495, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 495, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 495, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 495, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 496, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 496, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 496, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 496, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 496, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 497, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 497, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 497, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 497, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 497, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 498, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 498, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 498, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 498, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 498, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 499, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 499, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 499, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 499, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 499, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 500, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 500, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 500, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 500, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 500, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 501, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 501, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 501, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 501, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 501, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 502, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 502, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 502, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 502, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 502, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 503, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 503, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 503, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 503, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 503, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 504, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 504, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 504, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 504, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 504, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 505, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 505, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 505, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 505, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 505, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 506, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 506, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 506, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 506, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 506, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 507, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 507, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 507, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 507, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 507, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 508, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 508, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 508, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 508, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 508, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 509, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 509, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 509, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 509, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 509, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 510, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 510, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 510, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 510, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 510, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 511, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 511, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 511, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 511, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 511, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 512, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 512, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 512, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 512, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 512, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 513, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 513, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 513, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 513, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 513, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 514, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 514, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 514, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 514, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 514, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 515, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 515, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 515, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 515, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 515, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 516, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 516, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 516, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 516, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 516, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 517, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 517, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 517, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 517, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 517, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 518, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 518, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 518, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 518, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 518, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 519, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 519, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 519, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 519, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 519, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 520, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 520, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 520, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 520, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 520, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 521, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 521, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 521, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 521, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 521, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 522, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 522, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 522, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 522, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 522, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 523, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 523, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 523, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 523, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 523, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 524, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 524, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 524, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 524, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 524, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 525, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 525, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 525, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 525, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 525, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 526, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 526, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 526, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 526, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 526, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 527, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 527, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 527, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 527, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 527, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 528, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 528, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 528, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 528, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 528, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 529, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 529, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 529, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 529, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 529, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 530, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 530, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 530, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 530, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 530, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 531, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 531, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 531, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 531, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 531, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 532, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 532, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 532, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 532, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 532, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 533, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 533, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 533, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 533, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 533, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 534, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 534, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 534, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 534, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 534, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 535, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 535, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 535, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 535, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 535, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 536, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 536, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 536, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 536, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 536, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 537, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 537, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 537, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 537, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 537, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 538, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 538, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 538, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 538, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 538, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 539, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 539, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 539, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 539, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 539, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 540, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5922 Epoch 540, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 540, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 540, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 540, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 541, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 541, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 541, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 541, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 541, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 542, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 542, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 542, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 542, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 542, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 543, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 543, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 543, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 543, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5960 Epoch 543, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 544, CIFAR-10 Batch 1: Loss: 32.1133 | Validation Accuracy: 0.5876 Epoch 544, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 544, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 544, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 544, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 545, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 545, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5948 Epoch 545, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 545, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 545, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5912 Epoch 546, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 546, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 546, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5936 Epoch 546, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 546, CIFAR-10 Batch 5: Loss: 510.1130 | Validation Accuracy: 0.5630 Epoch 547, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 547, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 547, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 547, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 547, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 548, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 548, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 548, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 548, CIFAR-10 Batch 4: Loss: 21.5482 | Validation Accuracy: 0.5870 Epoch 548, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 549, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 549, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 549, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 549, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 549, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 550, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5948 Epoch 550, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 550, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 550, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 550, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 551, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 551, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 551, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 551, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 551, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 552, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 552, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 552, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 552, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 552, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 553, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5928 Epoch 553, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 553, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 553, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 553, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 554, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 554, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5946 Epoch 554, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.6006 Epoch 554, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 554, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 555, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 555, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 555, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 555, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5966 Epoch 555, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 556, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 556, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 556, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 556, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 556, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 557, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 557, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 557, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 557, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 557, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 558, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5960 Epoch 558, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 558, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 558, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 558, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 559, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5962 Epoch 559, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 559, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 559, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 559, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 560, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 560, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 560, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 560, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 560, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 561, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 561, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 561, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 561, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 561, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 562, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 562, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 562, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 562, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 562, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 563, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 563, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 563, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 563, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 563, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 564, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 564, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 564, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 564, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 564, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5944 Epoch 565, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 565, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 565, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 565, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 565, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5938 Epoch 566, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5940 Epoch 566, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 566, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 566, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 566, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 567, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 567, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 567, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5916 Epoch 567, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 567, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5928 Epoch 568, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 568, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 568, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 568, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 568, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 569, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 569, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 569, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 569, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 569, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 570, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 570, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 570, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 570, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 570, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 571, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 571, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 571, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 571, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 571, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 572, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 572, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 572, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 572, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 572, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 573, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 573, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 573, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 573, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 573, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 574, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 574, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 574, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5916 Epoch 574, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.6000 Epoch 574, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 575, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 575, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 575, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 575, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.6016 Epoch 575, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 576, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 576, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5966 Epoch 576, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 576, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 576, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 577, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5938 Epoch 577, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 577, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 577, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 577, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 578, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 578, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.6000 Epoch 578, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 578, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 578, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 579, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 579, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 579, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 579, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 579, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 580, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 580, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 580, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 580, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 580, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 581, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 581, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 581, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 581, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 581, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 582, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 582, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 582, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 582, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 582, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 583, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5964 Epoch 583, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5926 Epoch 583, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 583, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 583, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 584, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5952 Epoch 584, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 584, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 584, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 584, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 585, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 585, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5952 Epoch 585, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 585, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 585, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 586, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 586, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 586, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 586, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 586, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 587, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 587, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 587, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 587, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 587, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 588, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 588, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 588, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 588, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 588, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 589, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5964 Epoch 589, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 589, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 589, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 589, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 590, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 590, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 590, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 590, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 590, CIFAR-10 Batch 5: Loss: 438.3211 | Validation Accuracy: 0.5908 Epoch 591, CIFAR-10 Batch 1: Loss: 210.7636 | Validation Accuracy: 0.5902 Epoch 591, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 591, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 591, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 591, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 592, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 592, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 592, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 592, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 592, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 593, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 593, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 593, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 593, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 593, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 594, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 594, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 594, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 594, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 594, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5922 Epoch 595, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 595, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 595, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 595, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 595, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 596, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 596, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 596, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 596, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 596, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 597, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5920 Epoch 597, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 597, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5914 Epoch 597, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 597, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 598, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 598, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 598, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 598, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 598, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 599, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 599, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 599, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 599, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 599, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 600, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 600, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 600, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 600, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 600, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5760
In [33]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import tensorflow as tf
import pickle
import helper
import random
# Set batch size if not already set
try:
if batch_size:
pass
except NameError:
batch_size = 64
save_model_path = './image_classification'
n_samples = 4
top_n_predictions = 3
def test_model():
"""
Test the saved model against the test dataset
"""
test_features, test_labels = pickle.load(open('preprocess_training.p', mode='rb'))
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
# Load model
loader = tf.train.import_meta_graph(save_model_path + '.meta')
loader.restore(sess, save_model_path)
# Get Tensors from loaded model
loaded_x = loaded_graph.get_tensor_by_name('x:0')
loaded_y = loaded_graph.get_tensor_by_name('y:0')
loaded_keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
loaded_logits = loaded_graph.get_tensor_by_name('logits:0')
loaded_acc = loaded_graph.get_tensor_by_name('accuracy:0')
# Get accuracy in batches for memory limitations
test_batch_acc_total = 0
test_batch_count = 0
for train_feature_batch, train_label_batch in helper.batch_features_labels(test_features, test_labels, batch_size):
test_batch_acc_total += sess.run(
loaded_acc,
feed_dict={loaded_x: train_feature_batch, loaded_y: train_label_batch, loaded_keep_prob: 1.0})
test_batch_count += 1
print('Testing Accuracy: {}\n'.format(test_batch_acc_total/test_batch_count))
# Print Random Samples
random_test_features, random_test_labels = tuple(zip(*random.sample(list(zip(test_features, test_labels)), n_samples)))
random_test_predictions = sess.run(
tf.nn.top_k(tf.nn.softmax(loaded_logits), top_n_predictions),
feed_dict={loaded_x: random_test_features, loaded_y: random_test_labels, loaded_keep_prob: 1.0})
helper.display_image_predictions(random_test_features, random_test_labels, random_test_predictions)
test_model()
Testing Accuracy: 0.5728515625
Why 50-70% Accuracy?¶
You might be wondering why you can't get an accuracy any higher. First things first, 50% isn't bad for a simple CNN. Pure guessing would get you 10% accuracy. However, you might notice people are getting scores well above 70%. That's because we haven't taught you all there is to know about neural networks. We still need to cover a few more techniques.
Submitting This Project¶
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_image_classification.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.