Feature/foundations of training checkpoints #36
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| @@ -109,15 +118,15 @@ def train(configuration: TrainingConfiguration) -> None: | |||
| processor, model = load_model( | |||
| model_id_or_path=best_model_path, | |||
| ) | |||
| if test_loader is not None: | |||
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Q: don't we want to run eval on test at the end?
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I'm not sure if we want it to be a separate evaluate command.
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Description
Metrics calculation pipeline improvements