fix: add check for NaN validation loss in EarlyStopping #28
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This PR addresses an issue where
EarlyStopping
incorrectly treatsnan
validation losses as an improvement, often caused by exploding gradients.Key changes:
np.isnan(val_loss)
check to ensure thatnan
validation losses are ignored.nan
values.test_validation_loss_nan
, to verify thatEarlyStopping
behaves correctly whennan
values are encountered during training.Closes #16