Trainer.tokenizer 的警告信息需要处理吗？另外输出的日志级别可以调整吗？

[joyyyhuang]

Reminder

• I have read the README and searched the existing issues.

System Info

• llamafactory version: 0.9.1.dev0
• Platform: Linux-5.4.241-1-tlinux4-0017.7-x86_64-with-glibc2.17
• Python version: 3.12.7
• PyTorch version: 2.5.0+cu124 (GPU)
• Transformers version: 4.46.1
• Datasets version: 3.1.0
• Accelerate version: 1.0.1
• PEFT version: 0.12.0
• TRL version: 0.9.6
• GPU type: NVIDIA H20
• vLLM version: 0.6.3.post2.dev172+gd087bf86

Reproduction

    --stage sft \
    --model_name_or_path Qwen2.5-0.5B-Instruct \
    --preprocessing_num_workers 16 \
    --finetuning_type lora \
    --quantization_method bitsandbytes \
    --template qwen \
    --flash_attn auto \
    --dataset_dir data \
    --eval_dataset alpaca_zh_demo \
    --cutoff_len 1024 \
    --max_samples 100000 \
    --per_device_eval_batch_size 128 \
    --predict_with_generate True \
    --max_new_tokens 512 \
    --top_p 0.7 \
    --temperature 0.95 \
    --output_dir saves/Qwen2.5-0.5B-Instruct/lora/eval_2024-11-21-15-46-cd..49 \
    --do_predict True ```

### Expected behavior

_No response_

### Others

[WARNING|2024-11-21 15:54:20] trainer.py:760 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
反复出现上面的警告信息。

[hiyouga]

不需要，可以通过环境变量调整
https://github.com/huggingface/transformers/blob/d6a5c23f71052e5405771ca6dcd3d4acbba49fc6/src/transformers/utils/logging.py#L61

[rzhao-zhsq]

@joyyyhuang 您好，请问有什么方便的途径解决这个问题吗？