fix

docs/source/LLM/命令行参数.md

@@ -329,7 +329,7 @@ eval参数继承了infer参数，除此之外增加了以下参数：（注意:
   ```
 - `--eval_few_shot`: 每个评测集的子数据集的few-shot个数, 默认为`None`, 即使用数据集的默认配置. **本参数暂时废弃**
 - `--eval_limit`: 每个评测集的子数据集的采样数量, 默认为`None`代表全量评测. **本参数暂时废弃**
-- `--name`: 用于区分相同配置评估的结果存储路径
+- `--name`: 用于区分相同配置评估的结果存储路径. 如: `{eval_output_dir}/{name}`, 默认在：`eval_outputs/defaults`, 其内部存在以时间命名的文件夹来承载每次评测结果.
 - `--eval_url`: OpenAI标准的模型调用接口, 例如`http://127.0.0.1:8000/v1`. 如果使用部署的方式评估, 则需要进行设置, 通常不需要设置. 默认为`None`.
   ```shell
   swift eval --eval_url http://127.0.0.1:8000/v1 --eval_is_chat_model true --model_type gpt4 --eval_token xxx

docs/source_en/LLM/Command-line-parameters.md

@@ -329,7 +329,7 @@ The eval parameters inherit from the infer parameters, and additionally include
   ```
 - `--eval_few_shot`: The few-shot number of sub-datasets for each evaluation set, with a default value of `None`, meaning to use the default configuration of the dataset. **This parameter is currently deprecated.**
 - `--eval_limit`: The sampling quantity for each sub-dataset of the evaluation set, with a default value of `None` indicating full-scale evaluation. **This parameter is currently deprecated.**
-- `--name`: Used to differentiate the result storage path for evaluating the same configuration.
+- `--name`: Used to differentiate the result storage path for evaluating the same configuration. Like: `{eval_output_dir}/{name}`, default will be `eval_outputs/defaults`, in which a timestamp named folder will hold each eval result.
 - `--eval_url`: The standard model invocation interface for OpenAI, for example, `http://127.0.0.1:8000/v1`. This needs to be set when evaluating in a deployed manner, usually not needed. Default is `None`.
   ```shell
   swift eval --eval_url http://127.0.0.1:8000/v1 --eval_is_chat_model true --model_type gpt4 --eval_token xxx