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[trainer] fix llama3.2 vision kto train (#6904)

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Former-commit-id: b7fd1e9c00c77a4c2a0f2f347767d22bd47213f1
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marko1616 2025-02-12 19:09:14 +08:00 committed by GitHub
parent 2e2f6bea07
commit bae934dea3
2 changed files with 11 additions and 0 deletions
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2
src/llamafactory/data/collator.py
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@ -285,6 +285,8 @@ class KTODataCollatorWithPadding(MultiModalDataCollatorForSeq2Seq):
batch["kl_input_ids"] = kl_batch["input_ids"]
batch["kl_attention_mask"] = kl_batch["attention_mask"]
batch["kl_labels"] = kl_batch["labels"]
if "cross_attention_mask" in kl_batch: # for mllama inputs.
batch["kl_cross_attention_mask"] = kl_batch["cross_attention_mask"]
if "token_type_ids" in kl_batch:
batch["kl_token_type_ids"] = kl_batch["token_type_ids"]

9
src/llamafactory/train/kto/trainer.py
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@ -156,6 +156,15 @@ class CustomKTOTrainer(KTOTrainer):
if "image_grid_thw" in batch:
model_inputs["image_grid_thw"] = batch["image_grid_thw"]
if "aspect_ratio_ids" in batch:
model_inputs["aspect_ratio_ids"] = batch["aspect_ratio_ids"]
if "aspect_ratio_mask" in batch:
model_inputs["aspect_ratio_mask"] = batch["aspect_ratio_mask"]
if f"{prefix}cross_attention_mask" in batch:
model_inputs["cross_attention_mask"] = batch[f"{prefix}cross_attention_mask"]
logits = model(**model_inputs, return_dict=True, use_cache=False).logits.to(torch.float32)
logps, valid_length = get_batch_logps(logits=logits, labels=batch[f"{prefix}labels"])
return logits, logps, logps / valid_length