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Does the run_pretraining.py script show its final evaluation result on held out training data? There is an 'is_training' param in the 'input_fn_builder' function but that just seems to control shuffling and parallel reading of data during training. The same 'input_files' argument is passed to both the training and validation parts of the function so I am not sure exactly where does the script keep a separate held out training set for evaluation of the trained model.
The text was updated successfully, but these errors were encountered:
Does the run_pretraining.py script show its final evaluation result on held out training data? There is an 'is_training' param in the 'input_fn_builder' function but that just seems to control shuffling and parallel reading of data during training. The same 'input_files' argument is passed to both the training and validation parts of the function so I am not sure exactly where does the script keep a separate held out training set for evaluation of the trained model.
Does the run_pretraining.py script show its final evaluation result on held out training data? There is an 'is_training' param in the 'input_fn_builder' function but that just seems to control shuffling and parallel reading of data during training. The same 'input_files' argument is passed to both the training and validation parts of the function so I am not sure exactly where does the script keep a separate held out training set for evaluation of the trained model.
The text was updated successfully, but these errors were encountered: