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fix white space

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2025-10-09 14:49:22 +08:00
parent 807bb6ee0b
commit 8811e9f33a
7 changed files with 27 additions and 33 deletions
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4
examples/grpo/cosyvoice2/README.md
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@@ -36,7 +36,7 @@ Stage `0` converts raw JSONL files into the parquet format expected by veRL:
```bash
bash run.sh 0 0
```
Create two JSONL files—`train.jsonl` and `test.jsonl`.
Create two JSONL files—`train.jsonl` and `test.jsonl`.
The script will then generate two Parquet files:
```
@@ -111,7 +111,7 @@ bash run.sh 5 5
The script converts the Hugging Face checkpoint back into the format expected by the CosyVoice repository.
> [!TIP]
> However, we observed a slight accuracy drop when using the RL-trained model after conversion, compared with the Hugging Face format.
> However, we observed a slight accuracy drop when using the RL-trained model after conversion, compared with the Hugging Face format.
## Results

6
examples/grpo/cosyvoice2/run.sh
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@@ -33,7 +33,7 @@ fi
if [ $stage -le -1 ] && [ $stop_stage -ge -1 ]; then
log "stage -1: download official CosyVoice2-0.5B LLM model and convert to huggingface compatible checkpoint"
modelscope download --model iic/CosyVoice2-0.5B --local_dir $model_scope_model_path
modelscope download --model iic/CosyVoice2-0.5B --local_dir $model_scope_model_path
python3 pretrained_to_huggingface.py \
--pretrained-cosyvoice2-path $model_scope_model_path \
--save-path $sft_model_path
@@ -61,7 +61,7 @@ fi
if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
log "stage 1: start token2wav asr server for reward function"
python3 token2wav_asr_server.py --number-of-devices 8
fi
fi
exp_name=official_llm_aishell3_grpo
if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
@@ -125,7 +125,7 @@ if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
--backend fsdp \
--local_dir $llm_path/actor \
--target_dir $llm_path/merged_hf_model || exit 1
fi
fi
if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
log "stage 4: Test the model"