使用Qwen2___5-Coder-7B-Instruct进行微调，参数如下，出现如下报错，求助求助！！！！

[ychuest]

CUDA_VISIBLE_DEVICES=0 python /home/ubuntu/TextToSQL/DB-GPT-Hub/src/dbgpt-hub-sql/dbgpt_hub_sql/train/sft_train.py\ --model_name_or_path /home/ubuntu/.cache/modelscope/hub/qwen/Qwen2___5-Coder-7B-Instruct\ --do_train \ --dataset example_text2sql_train \ --max_source_length 2048 \ --max_target_length 512 \ --template qwen2_5 \ --finetuning_type lora \ --lora_rank 64 \ --lora_alpha 32 \ --lora_target q_proj,v_proj \ --output_dir /home/ubuntu/TextToSQL/DB-GPT-Hub/src/dbgpt-hub-sql/dbgpt_hub_sql/output/adapter/Qwen25-7B-Instruct-lora \ --overwrite_cache \ --overwrite_output_dir \ --per_device_train_batch_size 1 \ --gradient_accumulation_steps 16 \ --lr_scheduler_type cosine_with_restarts \ --logging_steps 500 \ --save_steps 2000 \ --learning_rate 2e-4 \ --num_train_epochs 4 \ --plot_loss \ --bf16

[xhh315]

把data_process 里的data_utils.py 里的895行注释掉

dataset = load_dataset( data_path, data_files=data_files, split=data_args.split, cache_dir=model_args.cache_dir, streaming=data_args.streaming,

use_auth_token=True if model_args.use_auth_token else None, #这里注释掉

    )

[xiangzhangpang]

CUDA_VISIBLE_DEVICES=0 python /home/ubuntu/TextToSQL/DB-GPT-Hub/src/dbgpt-hub-sql/dbgpt_hub_sql/train/sft_train.py --model_name_or_path /home/ubuntu/.cache/modelscope/hub/qwen/Qwen2___5-Coder-7B-Instruct --do_train --dataset example_text2sql_train --max_source_length 2048 --max_target_length 512 --template qwen2_5 --finetuning_type lora --lora_rank 64 --lora_alpha 32 --lora_target q_proj,v_proj --output_dir /home/ubuntu/TextToSQL/DB-GPT-Hub/src/dbgpt-hub-sql/dbgpt_hub_sql/output/adapter/Qwen25-7B-Instruct-lora --overwrite_cache --overwrite_output_dir --per_device_train_batch_size 1 --gradient_accumulation_steps 16 --lr_scheduler_type cosine_with_restarts --logging_steps 500 --save_steps 2000 --learning_rate 2e-4 --num_train_epochs 4 --plot_loss --bf16

你好，我看config.py里只支持这些模型,使用Qwen2___5-Coder-7B-Instruct是自己对代码修改了以适配该模型吗

SUPPORTED_MODELS = {

"LLaMA-7B": "huggyllama/llama-7b",

"LLaMA-13B": "huggyllama/llama-13b",

"LLaMA-30B": "huggyllama/llama-30b",

"LLaMA-65B": "huggyllama/llama-65b",

"LLaMA2-7B": "meta-llama/Llama-2-7b-hf",

"LLaMA2-13B": "meta-llama/Llama-2-13b-hf",

"LLaMA2-70B": "meta-llama/Llama-2-70b-hf",

"LLaMA2-7B-Chat": "meta-llama/Llama-2-7b-chat-hf",

"LLaMA2-13B-Chat": "meta-llama/Llama-2-13b-chat-hf",

"LLaMA2-70B-Chat": "meta-llama/Llama-2-70b-chat-hf",

"ChineseLLaMA2-7B": "ziqingyang/chinese-llama-2-7b",

"ChineseLLaMA2-13B": "ziqingyang/chinese-llama-2-13b",

"ChineseLLaMA2-7B-Chat": "ziqingyang/chinese-alpaca-2-7b",

"ChineseLLaMA2-13B-Chat": "ziqingyang/chinese-alpaca-2-13b",

"BLOOM-560M": "bigscience/bloom-560m",

"BLOOM-3B": "bigscience/bloom-3b",

"BLOOM-7B1": "bigscience/bloom-7b1",

"BLOOMZ-560M": "bigscience/bloomz-560m",

"BLOOMZ-3B": "bigscience/bloomz-3b",

"BLOOMZ-7B1-mt": "bigscience/bloomz-7b1-mt",

"Falcon-7B": "tiiuae/falcon-7b",

"Falcon-7B-Chat": "tiiuae/falcon-7b-instruct",

"Falcon-40B": "tiiuae/falcon-40b",

"Falcon-40B-Chat": "tiiuae/falcon-40b-instruct",

"Baichuan-7B": "baichuan-inc/Baichuan-7B",

"Baichuan-13B": "baichuan-inc/Baichuan-13B-Base",

"Baichuan-13B-Chat": "baichuan-inc/Baichuan-13B-Chat",

"Baichuan2-7B": "baichuan-inc/Baichuan2-7B-Base",

"Baichuan2-13B": "baichuan-inc/Baichuan2-13B-Base",

"Baichuan2-7B-Chat": "baichuan-inc/Baichuan2-7B-Chat",

"Baichuan2-13B-Chat": "baichuan-inc/Baichuan2-13B-Chat",

"InternLM-7B": "internlm/internlm-7b",

"InternLM-7B-Chat": "internlm/internlm-chat-7b",

"Qwen-7B": "Qwen/Qwen-7B",

"Qwen-7B-Chat": "Qwen/Qwen-7B-Chat",

"XVERSE-13B": "xverse/XVERSE-13B",

"ChatGLM2-6B-Chat": "THUDM/chatglm2-6b",

"ChatGLM3-6B-Base": "THUDM/chatglm3-6b-base",

"ChatGLM3-6B-Chat": "THUDM/chatglm3-6b"

}