Adding flags to expose gradient clipping args in Trainer #361
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Diff Coverage details (click to unfold)src/renate/training/training.py
src/renate/defaults.py
src/renate/updaters/model_updater.py
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wistuba
previously approved these changes
Aug 3, 2023
| @@ -629,6 +633,8 @@ def __init__( | |||
| precision: str = defaults.PRECISION, | |||
| seed: int = defaults.SEED, | |||
| deterministic_trainer: bool = defaults.DETERMINISTIC_TRAINER, | |||
| gradient_clip_val: Union[int, float, None] = defaults.GRADIENT_CLIP_VAL, | |||
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Is it fair to assume this is Optional[float]?
wistuba
previously approved these changes
Aug 3, 2023
wistuba
approved these changes
Aug 3, 2023
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This change is to expose
gradient_clip_valandgradient_clip_algorithmflags ofTrainerobject.Gradient clipping is used for L2P training.
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