new evals_per_epoch and saves_per_epoch to make things cleaner (#944)
* new evals_per_epoch and saves_per_epoch to make things cleaner * update per PR feedback
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@@ -691,9 +691,11 @@ warmup_ratio: 0.05 # cannot use with warmup_steps
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learning_rate: 0.00003
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lr_quadratic_warmup:
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logging_steps:
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eval_steps: # Leave empty to eval at each epoch, integers for every N steps. decimal for fraction of total steps
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evals_per_epoch: # number of times per epoch to run evals, mutually exclusive with eval_steps
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save_strategy: # Set to `no` to skip checkpoint saves
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save_steps: # Leave empty to save at each epoch
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eval_steps: # Leave empty to eval at each epoch, integers for every N steps. decimal for fraction of total steps
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saves_per_epoch: # number of times per epoch to save a checkpoint, mutually exclusive with save_steps
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save_total_limit: # Checkpoints saved at a time
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# Maximum number of iterations to train for. It precedes num_epochs which means that
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# if both are set, num_epochs will not be guaranteed.
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