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I have 191033 samples out of which 90% are used for training and the remaining 10% for testing which is 171929 and 19104 for training and testing respectively. when I fit the model using model.fit() and execute, it shows only 2457 samples instead of 171929....here is the snapshot of the output..

y shape is (191033,)  and X shape is (191033, 77)  
y-train shape is (171929,)  and y-test shape is (19104,)  
x-train shape is (171929, 77)  and x-test shape is (19104, 77)  
Epoch 1/100  
**2457**/**2457** [=======] - 4s 2ms/step - loss: 0.0274 - accuracy: 0.9918 -  lr: 0.0010

and this is the code where fit function is used..

model.fit(X_train,y_train,batch_size = 70, epochs = 100,callbacks=[klrf])

any suggestions as to why this is happening.

desertnaut
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singhkuljeet004
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1 Answers1

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The number displayed is the number of batches in the training set, 171929/70=2456.1, so 2457 batches in total.

BlackBear
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