def metrics_builder(): """Returns a `list` of `tf.keras.metric.Metric` objects.""" pad_token, _, _, _ = shakespeare_dataset.get_special_tokens() return [ keras_metrics.NumBatchesCounter(), keras_metrics.NumExamplesCounter(), keras_metrics.NumTokensCounter(masked_tokens=[pad_token]), keras_metrics.MaskedCategoricalAccuracy(masked_tokens=[pad_token]), ]
def metrics_builder(): """Returns a `list` of `tf.keras.metric.Metric` objects.""" return [ keras_metrics.NumBatchesCounter(), keras_metrics.NumExamplesCounter(), keras_metrics.FlattenedNumExamplesCounter(name='num_tokens', mask_zero=True), keras_metrics.FlattenedCategoricalAccuracy(vocab_size=VOCAB_SIZE, mask_zero=True), ]