When model.evaluate(), it shows so many progress bars and different loss value

General Discussion
,
#1

Hi,

I’m running on, tensorflow = 2.0 with python = 3.7.0.

As it is on the subject,
When I evaluate my CNN model, it shows so many progress bars("=") and two different loss values.
I’m ok with the progress bars but the different loss values make me confused.

Do you have a key to solve the problem?

My situation as blow:

print(model.evaluate(x_test, y_test))
1200/1 [=========…omit…=============================================================================================] - 8s 7ms/sample - loss: 0.0320 - accuracy: 0.9817

[0.056471010148525236, 0.9816667]

#3

This issue was fixed. Please try with the latest tensorflow version 2.9.1

Please refer to the sample working code

import numpy as np
import tensorflow as tf
print(tf.__version__)
from matplotlib import pyplot as plt

mnist = tf.keras.datasets.mnist

(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0


model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10)
])

loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(optimizer='adam',
              loss=loss_fn,
              metrics=['accuracy'])
history = model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test,  y_test, verbose=2)

Output:

2.9.1 
Epoch 1/5 1875/1875 [==============================] - 11s 5ms/step - loss: 0.2953 - accuracy: 0.9136 
Epoch 2/5 1875/1875 [==============================] - 6s 3ms/step - loss: 0.1440 - accuracy: 0.9571 
Epoch 3/5 1875/1875 [==============================] - 6s 3ms/step - loss: 0.1060 - accuracy: 0.9676 
Epoch 4/5 1875/1875 [==============================] - 6s 3ms/step - loss: 0.0874 - accuracy: 0.9727 
Epoch 5/5 1875/1875 [==============================] - 6s 3ms/step - loss: 0.0752 - accuracy: 0.9762 
313/313 - 1s - loss: 0.0805 - accuracy: 0.9752 - 629ms/epoch - 2ms/step

[0.08049937337636948, 0.9751999974250793]