hello,
I was not sure if I could report it as a bug…  I’m practicing using an argument, save_freq = as an interger from an online course (they use tensorflow 2.0.0 while I have the latest tensorflow, 2.5.0).
here’s the relevant documentation but without an example using interger.
  
      

      TensorFlow
  

  
    

tf.keras.callbacks.ModelCheckpoint  |  TensorFlow Core v2.7.0 1

  Callback to save the Keras model or model weights at some frequency.


  

  
    
    
  

  


here is my code:
import tensorflow as tf
from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPooling2D

using a CIFAR dataset sample
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar10.load_data()
x_train = x_train / 255.0
x_test = x_test / 255.0

Use smaller subset – speeds things up
x_train = x_train[:10000]
y_train = y_train[:10000]
x_test = x_test[:1000]
y_test = y_test[:1000]

define a function that creates a new instance of a simple CNN.
def get_new_model():
model = Sequential([
Conv2D(filters=16, input_shape=(32, 32, 3), kernel_size=(3, 3),
activation=‘relu’, name=‘conv_1’),
Conv2D(filters=8, kernel_size=(3, 3), activation=‘relu’, name=‘conv_2’),
MaxPooling2D(pool_size=(4, 4), name=‘pool_1’),
Flatten(name=‘flatten’),
Dense(units=32, activation=‘relu’, name=‘dense_1’),
Dense(units=10, activation=‘softmax’, name=‘dense_2’)
])
model.compile(optimizer=‘adam’,
loss=‘sparse_categorical_crossentropy’,
metrics=[‘accuracy’])
return model

Create Tensorflow checkpoint object with epoch and batch details
checkpoint_5000_path = ‘/model_checkpoints_5000/checkpoint_{epoch:02d}-{batch:04d}’
checkpoint_5000 = ModelCheckpoint(filepath = checkpoint_5000_path,
save_weights_only = True,
save_freq = 5000,
verbose = 1)

Create and fit model with checkpoint
model = get_new_model()
model.fit(x = x_train,
y = y_train,
epochs = 3,
validation_data = (x_test, y_test),
batch_size = 10,
callbacks = [checkpoint_5000])
It is meant to make and save the filenames including the epoch and batch number.
However,  the files are not created. After I create manually this directory, model_checkpoints_5000, no files are added in.
(we can check  the contents by running ’ ! dir -a model_checkpoints_5000’ (windows)
or  ‘ls -lh model_checkpoints_500’ (linux)).
I have also tried to change to ‘’/model_checkpoints_5000/checkpoint_{epoch:02d}’, it still does not save the files with every epoch’s number.