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implement efficient packing without cross-contamination attention

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Former-commit-id: a64a5305c0da5ef092d4cc26faf829bb44de65d1
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ancv
2024-06-12 11:56:01 +07:00
parent 6d9fbb3fa9
commit c7ab302c69
9 changed files with 287 additions and 8 deletions
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src/llamafactory/train/kto/workflow.py
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@@ -24,7 +24,7 @@ def run_kto(
):
tokenizer_module = load_tokenizer(model_args)
tokenizer = tokenizer_module["tokenizer"]
dataset = get_dataset(model_args, data_args, training_args, stage="kto", **tokenizer_module)
dataset = get_dataset(model_args, data_args, training_args, finetuning_args, stage="kto", **tokenizer_module)
model = load_model(tokenizer, model_args, finetuning_args, training_args.do_train)
data_collator = KTODataCollatorWithPadding(