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support layerwise galore

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hiyouga
2024-03-10 00:24:11 +08:00
parent 18ffce36b5
commit 8664262cde
14 changed files with 109 additions and 51 deletions
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src/llmtuner/train/ppo/workflow.py
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@@ -64,7 +64,7 @@ def run_ppo(
)
# Create optimizer and scheduler
optimizer = create_custom_optimzer(model, training_args, finetuning_args)
optimizer = create_custom_optimzer(model, dataset, training_args, finetuning_args)
if optimizer is None:
optimizer = AdamW(filter(lambda p: p.requires_grad, model.parameters()), lr=training_args.learning_rate)