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[data] specify position_ids in PackedSupervisedDatasetProcessor for neat_packing (#7318)

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* use position_ids for neat_packing with fa2

* revert fa2 changes
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Ritesh Goru 2025-04-01 13:33:13 +05:30 committed by GitHub
parent 6faa6fb53d
commit f06a74ad4e
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1 changed files with 4 additions and 1 deletions
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src/llamafactory/data/processor/supervised.py
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@ -165,7 +165,7 @@ class PackedSupervisedDatasetProcessor(SupervisedDatasetProcessor):
knapsacks = greedy_knapsack(lengths, self.data_args.cutoff_len)
for knapsack in knapsacks:
packed_input_ids, packed_attention_masks, packed_labels = [], [], []
packed_images, packed_videos, packed_audios = [], [], []
packed_images, packed_videos, packed_audios, packed_position_ids = [], [], [], []
for i, length in enumerate(knapsack):
index = length2indexes[length].pop()
packed_input_ids += batch_input_ids[index]
@ -175,6 +175,7 @@ class PackedSupervisedDatasetProcessor(SupervisedDatasetProcessor):
packed_audios += batch_audios[index]
if self.data_args.neat_packing:
packed_attention_masks += [i + 1] * len(batch_input_ids[index]) # start from 1
packed_position_ids += list(range(len(batch_input_ids[index])))
else:
packed_attention_masks += [1] * len(batch_input_ids[index])
@ -184,6 +185,7 @@ class PackedSupervisedDatasetProcessor(SupervisedDatasetProcessor):
packed_labels += [IGNORE_INDEX] * pad_length
if self.data_args.neat_packing:
packed_attention_masks += [0] * pad_length
packed_position_ids += [0] * pad_length
else:
packed_attention_masks += [1] * pad_length # more efficient flash_attn
@ -196,5 +198,6 @@ class PackedSupervisedDatasetProcessor(SupervisedDatasetProcessor):
model_inputs["images"].append(packed_images or None)
model_inputs["videos"].append(packed_videos or None)
model_inputs["audios"].append(packed_audios or None)
model_inputs["position_ids"].append(packed_position_ids or None)
return model_inputs