docs: report_to add swanlab (#3158)

modelscope · Feb 18, 2025 · 805a12f · 805a12f
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diff --git a/docs/source/Instruction/命令行参数.md b/docs/source/Instruction/命令行参数.md
@@ -111,7 +111,7 @@
 - lr_scheduler_type: lr_scheduler类型，默认为'cosine'
 - lr_scheduler_kwargs: lr_scheduler其他参数。默认为None
 - 🔥gradient_checkpointing_kwargs: 传入`torch.utils.checkpoint`中的参数。例如设置为`--gradient_checkpointing_kwargs '{"use_reentrant": false}'`。默认为None
-- report_to: 默认值为`tensorboard`。你也可以指定`--report_to tensorboard wandb`、`--report_to all`
+- report_to: 默认值为`tensorboard`。你也可以指定`--report_to tensorboard wandb swanlab`、`--report_to all`
 - logging_first_step: 是否记录第一个step的日志，默认为True
 - logging_steps: 日志打印间隔，默认为5
 - predict_with_generate: 验证时使用生成式的方式，默认为False。

diff --git a/docs/source_en/Instruction/Command-line-parameters.md b/docs/source_en/Instruction/Command-line-parameters.md
@@ -115,7 +115,7 @@ This parameter list inherits from transformers `Seq2SeqTrainingArguments`, with
 - lr_scheduler_type: Type of lr_scheduler, defaults to 'cosine'.
 - lr_scheduler_kwargs: Other parameters for the lr_scheduler, defaults to None.
 - 🔥gradient_checkpointing_kwargs: Parameters for `torch.utils.checkpoint`. For example, set as `--gradient_checkpointing_kwargs '{"use_reentrant": false}'`. Defaults to None.
-- report_to: Default value is `tensorboard`. You can also specify `--report_to tensorboard wandb` or `--report_to all`.
+- report_to: Default value is `tensorboard`. You can also specify `--report_to tensorboard wandb swanlab` or `--report_to all`.
 - logging_first_step: Whether to log the first step, defaults to True.
 - logging_steps: Interval for logging, defaults to 5.
 - predict_with_generate: Whether to use generative method during validation, default is False.