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xming521
96 lines
3.4 KiB
JSON
96 lines
3.4 KiB
JSON
{
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"version": "0.2.25",
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"common_args": {
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"model_name_or_path": "./models/Qwen2.5-7B-Instruct",
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"adapter_name_or_path": "./model_output", //同时做为train_sft_args的output_dir
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"template": "qwen",
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"default_system": "请你扮演一名人类，不要说自己是人工智能",
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"finetuning_type": "lora",
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"enable_thinking": false,
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"trust_remote_code": true
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},
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"cli_args": {
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"full_log": false
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},
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"make_dataset_args": {
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//数据处理配置
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"platform": "wechat", //wechat,telegram
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"telegram_args": {
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"my_id": "1234567890"
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},
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"include_type": [
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"text"
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],
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"blocked_words": [ // 禁用词
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"例如 姓名",
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"例如 密码",
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"//....."
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],
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"single_combine_strategy": "time_window", // 单人组成单句策略
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"qa_match_strategy": "time_window", // 组成qa策略
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"single_combine_time_window": 2, // 单人组成单句时间窗口（分钟）,
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"qa_match_time_window": 5, // 组成qa时间窗口（分钟）,
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"combine_msg_max_length": 256, // 组合后消息最大长度 配合cutoff_len 使用
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"messages_max_length": 1024, // messages最长字符数量 配合cutoff_len 使用
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"clean_dataset": {
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"enable_clean": false,
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"clean_strategy": "llm",
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"llm": {
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"accept_score": 2, //可以接受的llm打分阈值,1分最差，5分最好,低于此分数的数据不会用于训练
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}
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},
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"online_llm_clear": false,
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"base_url": "https://xxx/v1",
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"llm_api_key": "xxxxx",
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"model_name": "xxx", //建议使用参数较大的模型，例如DeepSeek-V3
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"clean_batch_size": 10,
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"vision_api": {
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"enable": false, // 设置为 true 来开启此功能
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"api_key": "xxx",
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"api_url": "https://xxx/v1", // 例如阿里云，或替换为其他兼容OpenAI的API地址
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"model_name": "xxx", // 要使用的多模态模型名称,例如qwen-vl-max
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"max_workers": 5 // 并行调用API的线程数，最多不要超过8
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}
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},
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"train_sft_args": {
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//微调配置
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"stage": "sft",
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"dataset": "chat-sft",
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"dataset_dir": "./dataset/res_csv/sft",
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"use_fast_tokenizer": true,
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"lora_target": "q_proj,v_proj",
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"lora_rank": 4,
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"lora_dropout": 0.3,
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"weight_decay": 0.1,
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"overwrite_cache": true,
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"per_device_train_batch_size": 8,
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"gradient_accumulation_steps": 4,
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"lr_scheduler_type": "cosine",
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"cutoff_len": 256,
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"logging_steps": 10,
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"save_steps": 100,
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"learning_rate": 1e-4,
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"warmup_ratio": 0.1,
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"num_train_epochs": 2,
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"plot_loss": true,
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"fp16": true,
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"flash_attn": "fa2",
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// "deepspeed": "ds_config.json" //多卡训练
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},
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"infer_args": {
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"repetition_penalty": 1.2,
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"temperature": 0.5,
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"max_length": 50,
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"top_p": 0.65
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},
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"vllm_args": {
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"gpu_memory_utilization": 0.9,
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// "data_parallel_size": 2,
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// "quantization": "bitsandbytes", // 是否启用vllm的 bitsandbytes 的量化加载
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// "load_format": "bitsandbytes"
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},
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"test_model_args": {
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"test_data_path": "dataset/test_data.json"
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}
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}
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