Update supervised.py
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@ -179,15 +179,16 @@ def preprocess_packed_supervised_dataset(
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packed_input_ids += batch_input_ids[index]
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packed_labels += batch_labels[index]
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if len(packed_input_ids) <= data_args.cutoff_len:
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if len(packed_input_ids) < data_args.cutoff_len:
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pad_length = data_args.cutoff_len - len(packed_input_ids)
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packed_input_ids += [tokenizer.pad_token_id] * pad_length
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packed_labels += [IGNORE_INDEX] * pad_length
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else:
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raise ValueError("The length of packed example exceeds the cutoff length.")
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if len(packed_input_ids) != data_args.cutoff_len:
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raise ValueError("The length of packed example should be identical to the cutoff length.")
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model_inputs["input_ids"].append(packed_input_ids)
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model_inputs["attention_mask"].append([1] * len(packed_input_ids))
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model_inputs["attention_mask"].append([1] * data_args.cutoff_len)
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model_inputs["labels"].append(packed_labels)
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return model_inputs
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