初始化项目，由ModelHub XC社区提供模型
Model: BAAI_Industry_Competition_tourism_dev/eatbreakfast_TouInd Source: Original Platform
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README.md
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README.md
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---
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frameworks:
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- Pytorch
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license: MIT License
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tasks:
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- text-generation
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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domain:
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- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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- fine-tuned
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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## 模型推理结果文件
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见`吃早饭_TouInd_12271627.jsonl`
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## 训练和推理代码
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### 训练脚本
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```bash
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# Experimental environment: V100, A10, 3090
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CUDA_VISIBLE_DEVICES=0 \
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swift sft \
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--model_id_or_path Qwen/Qwen2.5-7B-Instruct \
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--sft_type lora \
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--use_dora True \
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--tuner_backend peft \
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--template_type AUTO \
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--dtype AUTO \
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--output_dir output \
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--dataset qa_dataset_final3.jsonl sft_dataset_train_processed_rewritev2_with_example.jsonl \
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--num_train_epochs 3 \
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--max_length 2600 \
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--check_dataset_strategy warning \
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--lora_rank 8 \
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--lora_alpha 32 \
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--lora_dropout_p 0.05 \
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--lora_target_modules ALL \
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--gradient_checkpointing true \
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--batch_size 1 \
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--weight_decay 0.1 \
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--learning_rate 5e-5 \
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--gradient_accumulation_steps 16 \
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--max_grad_norm 0.5 \
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--warmup_ratio 0.03 \
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--eval_steps 50 \
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--save_steps 50 \
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--save_total_limit 2 \
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--logging_steps 10
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```
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### 推理代码
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```python
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import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '0'
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import gc
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import hashlib
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import json
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import jsonlines
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import torch
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from swift.llm import (
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ModelType,
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get_default_template_type,
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get_model_tokenizer,
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get_template,
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get_vllm_engine,
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inference,
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inference_vllm,
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)
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from swift.tuners import Swift
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from swift.utils import seed_everything
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from tqdm import tqdm
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def generate_unique_code(input_string):
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sha256_hash = hashlib.sha256()
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sha256_hash.update(input_string.encode('utf-8'))
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unique_code = sha256_hash.hexdigest()
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return unique_code
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def convert_config_to_dict(config_dict):
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"""Convert generation config to JSON serializable format"""
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serializable_dict = {}
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for key, value in config_dict.items():
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if isinstance(value, set):
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serializable_dict[key] = list(value)
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elif key == 'compile_config':
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# Convert CompileConfig object to dict
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serializable_dict[key] = {
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'fullgraph': value.fullgraph,
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'dynamic': value.dynamic,
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'backend': value.backend,
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'mode': value.mode,
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'options': value.options
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}
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else:
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serializable_dict[key] = value
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return serializable_dict
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seed_everything(42)
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file_jsonl_path = "eval_only_query.jsonl"
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out_path = "吃早饭_TouInd_12271627.jsonl"
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log_file = "run_log.jsonl" # 推理日志
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# for objective questions
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model_type = ModelType.qwen2_5_7b_instruct
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template_type = get_default_template_type(model_type)
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model_id_or_path = None
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llm_engine = get_vllm_engine(model_type,max_model_len=10000)
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llm_engine.generation_config.max_new_tokens = 1024
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llm_engine.generation_config.temperature = 0
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llm_engine.generation_config.do_sample = False
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template = get_template(template_type, llm_engine.hf_tokenizer)
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reason_data = []
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with open(file_jsonl_path, "rb") as file:
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for line in jsonlines.Reader(file):
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if line["query_type"]=="objective":
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reason_data.append(
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{
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"query": line["query"] + "\n\nAnswer this multiple-choice question step by step. First, analyze each option carefully, explain why each is correct or incorrect, and then conclude with the best answer.\n",
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"origin": line
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}
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)
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resp_list = inference_vllm(llm_engine, template, reason_data, use_tqdm=True,max_batch_size=8,)
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# Add run logging for first inference
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for query_data, resp in zip(reason_data, resp_list):
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run_info = {
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"unique_id": generate_unique_code(query_data["query"]),
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"model_inp": query_data["query"],
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"gen_parm": convert_config_to_dict(llm_engine.generation_config.__dict__),
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"answer": resp["response"]
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}
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with open(log_file, "a") as fw:
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fw.write(json.dumps(run_info, ensure_ascii=False)+"\n")
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final_data = []
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for line in resp_list:
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final_data.append(
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{
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"query": f"You are a good summarizer. Please summarize Answer and output the choise(s) like `A` or `AB` or `ACD` only.\n\n \n\nAnswer:{line['response']}\n\n",
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}
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)
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# 修改max_new_tokens
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resp_list = inference_vllm(llm_engine, template, final_data, use_tqdm=True,max_batch_size=8,)
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# Add run logging for summarization inference
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for data, resp in zip(final_data, resp_list):
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run_info = {
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"unique_id": generate_unique_code(data["query"]),
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"model_inp": data["query"],
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"gen_parm": convert_config_to_dict(llm_engine.generation_config.__dict__),
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"answer": resp["response"]
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}
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with open(log_file, "a") as fw:
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fw.write(json.dumps(run_info, ensure_ascii=False)+"\n")
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with jsonlines.open(out_path, mode="a") as file_jsonl:
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for origin,resp in zip(reason_data,resp_list):
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file_jsonl.write({"query": origin["origin"]["query"], "query_type":origin["origin"]["query_type"],"answer": resp["response"]})
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del llm_engine.model_executor
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del llm_engine
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gc.collect()
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torch.cuda.empty_cache()
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torch.distributed.destroy_process_group()
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import ray
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ray.shutdown()
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# for subjective questions
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ckpt_dir = "BAAI_Industry_Competition_tourism_dev/eatbreakfast_TouInd"
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model_type = ModelType.qwen2_5_7b_instruct
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template_type = get_default_template_type(model_type)
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model_id_or_path = None
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model, tokenizer = get_model_tokenizer(model_type, model_id_or_path=ckpt_dir,
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model_kwargs={'device_map': 'auto',"load_in_4bit":True})
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# model = Swift.from_pretrained(model, ckpt_dir, inference_mode=True)
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# 修改max_new_tokens
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model.generation_config.max_new_tokens = 1024
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model.generation_config.temperature = 0
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model.generation_config.do_sample = False
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template = get_template(template_type, tokenizer)
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with open(file_jsonl_path,"rb") as file:
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for i,line in tqdm(enumerate(jsonlines.Reader(file))):
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if line["query_type"]=="subjective":
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query = line['query']
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response, history = inference(model, template, query)
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# Add run logging for subjective questions
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run_info = {
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"unique_id": generate_unique_code(query),
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"model_inp": query,
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"gen_parm": convert_config_to_dict(model.generation_config.__dict__),
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"answer": response
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}
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with open(log_file, "a") as fw:
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fw.write(json.dumps(run_info, ensure_ascii=False)+"\n")
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data = {"query":line["query"],"query_type":line["query_type"],"answer":response}
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with jsonlines.open(out_path,mode="a") as file_jsonl:
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file_jsonl.write(data)
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```
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config.json
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config.json
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{
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"_name_or_path": "/mnt/workspace/.cache/modelscope/hub/Qwen/Qwen2___5-7B-Instruct",
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"architectures": [
|
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"Qwen2ForCausalLM"
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],
|
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"attention_dropout": 0.0,
|
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
|
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"hidden_size": 3584,
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"initializer_range": 0.02,
|
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"intermediate_size": 18944,
|
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"max_position_embeddings": 32768,
|
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"max_window_layers": 28,
|
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"model_type": "qwen2",
|
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"num_attention_heads": 28,
|
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"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
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"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
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"rope_theta": 1000000.0,
|
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"sliding_window": null,
|
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"tie_word_embeddings": false,
|
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.46.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 152064
|
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}
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configuration.json
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configuration.json
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{"framework":"Pytorch","task":"text-generation"}
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size 29871
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": 151645,
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"max_new_tokens": 2048,
|
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"pad_token_id": 151643,
|
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"repetition_penalty": 1.05,
|
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"temperature": 0.7,
|
||||
"top_k": 20,
|
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"top_p": 0.8,
|
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"transformers_version": "4.46.2"
|
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}
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logging.jsonl
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logging.jsonl
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598
run_log.jsonl
Normal file
598
run_log.jsonl
Normal file
File diff suppressed because one or more lines are too long
263
sft_args.json
Normal file
263
sft_args.json
Normal file
@@ -0,0 +1,263 @@
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"lisa_activated_layers": 0,
|
||||
"lisa_step_interval": 20,
|
||||
"reft_layer_key": null,
|
||||
"reft_layers": null,
|
||||
"reft_rank": 4,
|
||||
"reft_intervention_type": "LoreftIntervention",
|
||||
"reft_args": null,
|
||||
"use_liger": false,
|
||||
"gradient_checkpointing": true,
|
||||
"vit_use_gc": true,
|
||||
"deepspeed": null,
|
||||
"batch_size": 1,
|
||||
"eval_batch_size": 1,
|
||||
"auto_find_batch_size": false,
|
||||
"num_train_epochs": 3,
|
||||
"max_steps": -1,
|
||||
"optim": "adamw_torch",
|
||||
"adam_beta1": 0.9,
|
||||
"adam_beta2": 0.95,
|
||||
"adam_epsilon": 1e-08,
|
||||
"learning_rate": 5e-05,
|
||||
"weight_decay": 0.1,
|
||||
"gradient_accumulation_steps": 16,
|
||||
"max_grad_norm": 0.5,
|
||||
"predict_with_generate": false,
|
||||
"lr_scheduler_type": "cosine",
|
||||
"lr_scheduler_kwargs": {},
|
||||
"warmup_ratio": 0.03,
|
||||
"warmup_steps": 0,
|
||||
"eval_steps": 50,
|
||||
"save_steps": 50,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"hub_model_id": null,
|
||||
"hub_token": null,
|
||||
"hub_private_repo": false,
|
||||
"hub_strategy": "every_save",
|
||||
"test_oom_error": false,
|
||||
"disable_tqdm": false,
|
||||
"lazy_tokenize": false,
|
||||
"preprocess_num_proc": 1,
|
||||
"use_flash_attn": null,
|
||||
"ignore_args_error": false,
|
||||
"check_model_is_latest": true,
|
||||
"logging_dir": "/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243/runs",
|
||||
"report_to": [
|
||||
"tensorboard"
|
||||
],
|
||||
"acc_strategy": "token",
|
||||
"save_on_each_node": false,
|
||||
"evaluation_strategy": "steps",
|
||||
"save_strategy": "steps",
|
||||
"save_safetensors": true,
|
||||
"gpu_memory_fraction": null,
|
||||
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|
||||
"local_repo_path": null,
|
||||
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|
||||
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|
||||
"device_map_config": null,
|
||||
"device_max_memory": [],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"fsdp": "",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"self_cognition_sample": 0,
|
||||
"train_dataset_mix_ratio": 0.0,
|
||||
"train_dataset_mix_ds": [
|
||||
"ms-bench"
|
||||
],
|
||||
"train_dataset_sample": -1,
|
||||
"val_dataset_sample": null,
|
||||
"safe_serialization": null,
|
||||
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|
||||
"neftune_alpha": null,
|
||||
"deepspeed_config_path": null,
|
||||
"model_cache_dir": null,
|
||||
"lora_dropout_p": 0.05,
|
||||
"lora_target_modules": [
|
||||
"o_proj",
|
||||
"q_proj",
|
||||
"v_proj",
|
||||
"up_proj",
|
||||
"gate_proj",
|
||||
"k_proj",
|
||||
"down_proj"
|
||||
],
|
||||
"lora_target_regex": null,
|
||||
"lora_modules_to_save": [],
|
||||
"boft_target_modules": [],
|
||||
"boft_modules_to_save": [],
|
||||
"vera_target_modules": [],
|
||||
"vera_modules_to_save": [],
|
||||
"ia3_target_modules": [],
|
||||
"ia3_modules_to_save": [],
|
||||
"custom_train_dataset_path": [],
|
||||
"custom_val_dataset_path": [],
|
||||
"device_map_config_path": null,
|
||||
"push_hub_strategy": null,
|
||||
"use_self_cognition": false,
|
||||
"is_multimodal": false,
|
||||
"is_vision": false,
|
||||
"lora_use_embedding": false,
|
||||
"lora_use_all": true,
|
||||
"lora_m2s_use_embedding": false,
|
||||
"lora_m2s_use_ln": false,
|
||||
"torch_dtype": "torch.bfloat16",
|
||||
"fp16": false,
|
||||
"bf16": true,
|
||||
"rank": -1,
|
||||
"local_rank": -1,
|
||||
"world_size": 1,
|
||||
"local_world_size": 1,
|
||||
"bnb_4bit_compute_dtype": "torch.bfloat16",
|
||||
"load_in_4bit": false,
|
||||
"load_in_8bit": false,
|
||||
"train_sampler_random": true,
|
||||
"train_type": "sft",
|
||||
"training_args": "Seq2SeqTrainingArguments(output_dir='/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=5e-05, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=0.5, num_train_epochs=3, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.03, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=10, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=2, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 151643,\n \"do_sample\": true,\n \"eos_token_id\": 151645,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 151643,\n \"repetition_penalty\": 1.05,\n \"temperature\": 0.7,\n \"top_k\": 20,\n \"top_p\": 0.8\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
|
||||
}
|
||||
25
special_tokens_map.json
Normal file
25
special_tokens_map.json
Normal file
@@ -0,0 +1,25 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": "<|im_end|>",
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
757444
tokenizer.json
Normal file
757444
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
207
tokenizer_config.json
Normal file
207
tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
155
training_args.json
Normal file
155
training_args.json
Normal file
@@ -0,0 +1,155 @@
|
||||
{
|
||||
"output_dir": "/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243",
|
||||
"overwrite_output_dir": false,
|
||||
"do_train": false,
|
||||
"do_eval": true,
|
||||
"do_predict": false,
|
||||
"eval_strategy": "steps",
|
||||
"prediction_loss_only": false,
|
||||
"per_device_train_batch_size": 1,
|
||||
"per_device_eval_batch_size": 1,
|
||||
"per_gpu_train_batch_size": null,
|
||||
"per_gpu_eval_batch_size": null,
|
||||
"gradient_accumulation_steps": 16,
|
||||
"eval_accumulation_steps": null,
|
||||
"eval_delay": 0,
|
||||
"torch_empty_cache_steps": null,
|
||||
"learning_rate": 5e-05,
|
||||
"weight_decay": 0.1,
|
||||
"adam_beta1": 0.9,
|
||||
"adam_beta2": 0.95,
|
||||
"adam_epsilon": 1e-08,
|
||||
"max_grad_norm": 0.5,
|
||||
"num_train_epochs": 3,
|
||||
"max_steps": -1,
|
||||
"lr_scheduler_type": "cosine",
|
||||
"lr_scheduler_kwargs": {},
|
||||
"warmup_ratio": 0.03,
|
||||
"warmup_steps": 0,
|
||||
"log_level": "passive",
|
||||
"log_level_replica": "warning",
|
||||
"log_on_each_node": true,
|
||||
"logging_dir": "/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243/runs",
|
||||
"logging_strategy": "steps",
|
||||
"logging_first_step": true,
|
||||
"logging_steps": 10,
|
||||
"logging_nan_inf_filter": true,
|
||||
"save_strategy": "steps",
|
||||
"save_steps": 50,
|
||||
"save_total_limit": 2,
|
||||
"save_safetensors": true,
|
||||
"save_on_each_node": false,
|
||||
"save_only_model": false,
|
||||
"restore_callback_states_from_checkpoint": false,
|
||||
"no_cuda": false,
|
||||
"use_cpu": false,
|
||||
"use_mps_device": false,
|
||||
"seed": 42,
|
||||
"data_seed": 42,
|
||||
"jit_mode_eval": false,
|
||||
"use_ipex": false,
|
||||
"bf16": true,
|
||||
"fp16": false,
|
||||
"fp16_opt_level": "O1",
|
||||
"half_precision_backend": "auto",
|
||||
"bf16_full_eval": false,
|
||||
"fp16_full_eval": false,
|
||||
"tf32": null,
|
||||
"local_rank": 0,
|
||||
"ddp_backend": null,
|
||||
"tpu_num_cores": null,
|
||||
"tpu_metrics_debug": false,
|
||||
"debug": [],
|
||||
"dataloader_drop_last": false,
|
||||
"eval_steps": 50,
|
||||
"dataloader_num_workers": 1,
|
||||
"dataloader_prefetch_factor": null,
|
||||
"past_index": -1,
|
||||
"run_name": "/mnt/workspace/output/qwen2_5-7b-instruct/v19-20241204-000243",
|
||||
"disable_tqdm": false,
|
||||
"remove_unused_columns": false,
|
||||
"label_names": null,
|
||||
"load_best_model_at_end": false,
|
||||
"metric_for_best_model": "loss",
|
||||
"greater_is_better": false,
|
||||
"ignore_data_skip": false,
|
||||
"fsdp": [],
|
||||
"fsdp_min_num_params": 0,
|
||||
"fsdp_config": {
|
||||
"min_num_params": 0,
|
||||
"xla": false,
|
||||
"xla_fsdp_v2": false,
|
||||
"xla_fsdp_grad_ckpt": false
|
||||
},
|
||||
"fsdp_transformer_layer_cls_to_wrap": null,
|
||||
"accelerator_config": "AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False)",
|
||||
"deepspeed": null,
|
||||
"label_smoothing_factor": 0.0,
|
||||
"optim": "adamw_torch",
|
||||
"optim_args": null,
|
||||
"adafactor": false,
|
||||
"group_by_length": false,
|
||||
"length_column_name": "length",
|
||||
"report_to": [
|
||||
"tensorboard"
|
||||
],
|
||||
"ddp_find_unused_parameters": null,
|
||||
"ddp_bucket_cap_mb": null,
|
||||
"ddp_broadcast_buffers": null,
|
||||
"dataloader_pin_memory": true,
|
||||
"dataloader_persistent_workers": false,
|
||||
"skip_memory_metrics": true,
|
||||
"use_legacy_prediction_loop": false,
|
||||
"push_to_hub": false,
|
||||
"resume_from_checkpoint": null,
|
||||
"hub_model_id": null,
|
||||
"hub_strategy": "every_save",
|
||||
"hub_token": null,
|
||||
"hub_private_repo": false,
|
||||
"hub_always_push": false,
|
||||
"gradient_checkpointing": true,
|
||||
"gradient_checkpointing_kwargs": null,
|
||||
"include_inputs_for_metrics": false,
|
||||
"include_for_metrics": [],
|
||||
"eval_do_concat_batches": true,
|
||||
"fp16_backend": "auto",
|
||||
"evaluation_strategy": null,
|
||||
"push_to_hub_model_id": null,
|
||||
"push_to_hub_organization": null,
|
||||
"push_to_hub_token": null,
|
||||
"mp_parameters": "",
|
||||
"auto_find_batch_size": false,
|
||||
"full_determinism": false,
|
||||
"torchdynamo": null,
|
||||
"ray_scope": "last",
|
||||
"ddp_timeout": 1800,
|
||||
"torch_compile": false,
|
||||
"torch_compile_backend": null,
|
||||
"torch_compile_mode": null,
|
||||
"dispatch_batches": null,
|
||||
"split_batches": null,
|
||||
"include_tokens_per_second": false,
|
||||
"include_num_input_tokens_seen": false,
|
||||
"neftune_noise_alpha": null,
|
||||
"optim_target_modules": null,
|
||||
"batch_eval_metrics": false,
|
||||
"eval_on_start": false,
|
||||
"use_liger_kernel": false,
|
||||
"eval_use_gather_object": false,
|
||||
"average_tokens_across_devices": false,
|
||||
"sortish_sampler": false,
|
||||
"predict_with_generate": false,
|
||||
"generation_max_length": null,
|
||||
"generation_num_beams": null,
|
||||
"generation_config": "GenerationConfig {\n \"bos_token_id\": 151643,\n \"do_sample\": true,\n \"eos_token_id\": 151645,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 151643,\n \"repetition_penalty\": 1.05,\n \"temperature\": 0.7,\n \"top_k\": 20,\n \"top_p\": 0.8\n}\n",
|
||||
"acc_strategy": "token",
|
||||
"loss_name": null,
|
||||
"additional_saved_files": [],
|
||||
"train_sampler_random": true,
|
||||
"metric_warmup_step": 0,
|
||||
"train_dataset_sample": -1,
|
||||
"distributed_state": "Distributed environment: NO\nNum processes: 1\nProcess index: 0\nLocal process index: 0\nDevice: cuda\n",
|
||||
"_n_gpu": 1,
|
||||
"__cached__setup_devices": "device(type='cuda', index=0)",
|
||||
"deepspeed_plugin": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
469
吃早饭_TouInd_12271627.jsonl
Normal file
469
吃早饭_TouInd_12271627.jsonl
Normal file
File diff suppressed because one or more lines are too long
BIN
吃早饭_TouInd_report.pdf
Normal file
BIN
吃早饭_TouInd_report.pdf
Normal file
Binary file not shown.
Reference in New Issue
Block a user