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1. add custom eval dataset support

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2. merge load dataset and split dataset function


Former-commit-id: 963d97ba07e7efa3a4544c4d077283d9e112b3ad
This commit is contained in:
codingma
2024-07-05 15:52:10 +08:00
parent 9a1a5f9778
commit 5f2bd04799
15 changed files with 93 additions and 42 deletions
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4
src/llamafactory/train/ppo/workflow.py
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@@ -43,7 +43,7 @@ def run_ppo(
):
tokenizer_module = load_tokenizer(model_args)
tokenizer = tokenizer_module["tokenizer"]
dataset = get_dataset(model_args, data_args, training_args, stage="ppo", **tokenizer_module)
dataset_module = get_dataset(model_args, data_args, training_args, stage="ppo", **tokenizer_module)
model = load_model(tokenizer, model_args, finetuning_args, training_args.do_train, add_valuehead=True)
tokenizer.padding_side = "left" # use left-padding in generation while using right-padding in training
@@ -63,7 +63,7 @@ def run_ppo(
model=model,
reward_model=reward_model,
ref_model=ref_model,
dataset=dataset,
dataset=dataset_module["train_dataset"],
data_collator=data_collator,
**tokenizer_module,
)