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Currently we are storing checkpoints after evaluation.
If we for some reason encounter an error during evaluation (e.g. OOM) we will lose the complete epoch.
Therefore, we should store the checkpoint before (or even while) we run the evaluation code.
The text was updated successfully, but these errors were encountered:
I think this problem can be avoided by evaluating the model before the training phase as saving the checkpoints after the evaluation can provide the best model and well support the early stopping.
Currently we are storing checkpoints after evaluation.
If we for some reason encounter an error during evaluation (e.g. OOM) we will lose the complete epoch.
Therefore, we should store the checkpoint before (or even while) we run the evaluation code.
The text was updated successfully, but these errors were encountered: