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Code Issues Packages Projects Releases Wiki Activity

[model] support audio (#6701)

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* support qwen2_audio

* improve code

* lint

* fix

* fix

* fix

---------

Co-authored-by: hiyouga <hiyouga@buaa.edu.cn>
This commit is contained in:
Zhangchi Feng
2025-02-05 04:59:09 +08:00
committed by GitHub
parent a5e943f7bc
commit 24c7842948
37 changed files with 736 additions and 213 deletions
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13
src/llamafactory/data/processors/pairwise.py
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@@ -24,7 +24,7 @@ if TYPE_CHECKING:
from transformers import PreTrainedTokenizer, ProcessorMixin
from ...hparams import DataArguments
from ..mm_plugin import ImageInput, VideoInput
from ..mm_plugin import AudioInput, ImageInput, VideoInput
from ..template import Template
@@ -38,13 +38,14 @@ def _encode_pairwise_example(
tools: Optional[str],
images: Sequence["ImageInput"],
videos: Sequence["VideoInput"],
audios: Sequence["AudioInput"],
template: "Template",
tokenizer: "PreTrainedTokenizer",
processor: Optional["ProcessorMixin"],
cutoff_len: int,
) -> Tuple[List[int], List[int], List[int], List[int]]:
chosen_messages = template.mm_plugin.process_messages(prompt + [response[0]], images, videos, processor)
rejected_messages = template.mm_plugin.process_messages(prompt + [response[1]], images, videos, processor)
chosen_messages = template.mm_plugin.process_messages(prompt + [response[0]], images, videos, audios, processor)
rejected_messages = template.mm_plugin.process_messages(prompt + [response[1]], images, videos, audios, processor)
prompt_ids, chosen_ids = template.encode_oneturn(tokenizer, chosen_messages, system, tools)
_, rejected_ids = template.encode_oneturn(tokenizer, rejected_messages, system, tools)
@@ -52,7 +53,9 @@ def _encode_pairwise_example(
chosen_ids += [tokenizer.eos_token_id]
rejected_ids += [tokenizer.eos_token_id]
prompt_ids, _ = template.mm_plugin.process_token_ids(prompt_ids, None, images, videos, tokenizer, processor)
prompt_ids, _ = template.mm_plugin.process_token_ids(
prompt_ids, None, images, videos, audios, tokenizer, processor
)
# consider the response is more important
source_len, target_len = infer_seqlen(len(prompt_ids), max(len(chosen_ids), len(rejected_ids)), cutoff_len)
prompt_ids = prompt_ids[:source_len]
@@ -89,6 +92,7 @@ def preprocess_pairwise_dataset(
tools=examples["_tools"][i],
images=examples["_images"][i] or [],
videos=examples["_videos"][i] or [],
audios=examples["_audios"][i] or [],
template=template,
tokenizer=tokenizer,
processor=processor,
@@ -102,6 +106,7 @@ def preprocess_pairwise_dataset(
model_inputs["rejected_labels"].append(rejected_labels)
model_inputs["images"].append(examples["_images"][i])
model_inputs["videos"].append(examples["_videos"][i])
model_inputs["audios"].append(examples["_audios"][i])
return model_inputs