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add log_training_trajectory option #549
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todpole3
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…taseq into opt_instruct_training_trajectory
sriniiyer
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Dec 12, 2022
| @@ -418,6 +418,10 @@ def validate_and_save( | |||
| and num_updates >= cfg.dataset.validate_after_updates | |||
| and was_successful_step | |||
| ) | |||
| or ( | |||
| cfg.dataset.log_training_trajectory | |||
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why do we need to save? Just validate?
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To plot the trajectory for generation tasks as well (ROUGE); eval will be fast
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if set, evaluate and save checkpoints more frequently in early stage of training