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[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>
Former-commit-id: 5eacb5629e4d7733cd992a63747a1335f2c6a929
This commit is contained in:
Zhangchi Feng
2025-02-05 04:59:09 +08:00
committed by GitHub
parent 9feb78e7b4
commit 8f401e37f8
35 changed files with 675 additions and 213 deletions
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17
src/llamafactory/data/processors/feedback.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
@@ -39,6 +39,7 @@ def _encode_feedback_example(
tools: Optional[str],
images: Sequence["ImageInput"],
videos: Sequence["VideoInput"],
audios: Sequence["AudioInput"],
template: "Template",
tokenizer: "PreTrainedTokenizer",
processor: Optional["ProcessorMixin"],
@@ -56,8 +57,8 @@ def _encode_feedback_example(
else:
kl_messages = prompt + [kl_response[1]]
messages = template.mm_plugin.process_messages(messages, images, videos, processor)
kl_messages = template.mm_plugin.process_messages(kl_messages, images, videos, processor)
messages = template.mm_plugin.process_messages(messages, images, videos, audios, processor)
kl_messages = template.mm_plugin.process_messages(kl_messages, images, videos, audios, processor)
prompt_ids, response_ids = template.encode_oneturn(tokenizer, messages, system, tools)
kl_prompt_ids, kl_response_ids = template.encode_oneturn(tokenizer, kl_messages, system, tools)
@@ -65,8 +66,12 @@ def _encode_feedback_example(
response_ids += [tokenizer.eos_token_id]
kl_response_ids += [tokenizer.eos_token_id]
prompt_ids, _ = template.mm_plugin.process_token_ids(prompt_ids, None, images, videos, tokenizer, processor)
kl_prompt_ids, _ = template.mm_plugin.process_token_ids(kl_prompt_ids, None, images, videos, tokenizer, processor)
prompt_ids, _ = template.mm_plugin.process_token_ids(
prompt_ids, None, images, videos, audios, tokenizer, processor
)
kl_prompt_ids, _ = template.mm_plugin.process_token_ids(
kl_prompt_ids, None, images, videos, audios, tokenizer, processor
)
source_len, target_len = infer_seqlen(len(prompt_ids), len(response_ids), cutoff_len)
prompt_ids = prompt_ids[:source_len]
@@ -107,6 +112,7 @@ def preprocess_feedback_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,
@@ -121,6 +127,7 @@ def preprocess_feedback_dataset(
model_inputs["kto_tags"].append(kto_tag)
model_inputs["images"].append(examples["_images"][i])
model_inputs["videos"].append(examples["_videos"][i])
model_inputs["audios"].append(examples["_audios"][i])
desirable_num = sum([1 for tag in model_inputs["kto_tags"] if tag])
undesirable_num = len(model_inputs["kto_tags"]) - desirable_num