scripts/ft_gemma3n_audio_vt.py [37:54]:
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                ],
            },
            {"role": "assistant", "content": [{"type": "text", "text": label}]},
        ]
        messages.append(message)

    batch = processor.apply_chat_template(
        messages,
        add_generation_prompt=False,
        tokenize=True,
        return_dict=True,
        return_tensors="pt",
    )

    labels = batch["input_ids"].clone()  # Clone input IDs for labels
    # Mask the tokens that we do not want to include in the loss computation
    # -100 is ignored during categorical cross entropy loss computation
    labels[labels == processor.tokenizer.pad_token_id] = -100
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scripts/ft_gemma3n_image_vt.py [40:57]:
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                ],
            },
            {"role": "assistant", "content": [{"type": "text", "text": label}]},
        ]
        messages.append(message)

    batch = processor.apply_chat_template(
        messages,
        add_generation_prompt=False,
        tokenize=True,
        return_dict=True,
        return_tensors="pt",
    )

    labels = batch["input_ids"].clone()  # Clone input IDs for labels
    # Mask the tokens that we do not want to include in the loss computation
    # -100 is ignored during categorical cross entropy loss computation
    labels[labels == processor.tokenizer.pad_token_id] = -100
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