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Fix typos . (#36551)

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Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
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湛露先生 2025-03-06 08:31:43 +08:00 committed by GitHub
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2 changed files with 2 additions and 2 deletions
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2
src/transformers/integrations/integration_utils.py
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@ -1218,7 +1218,7 @@ class MLflowCallback(TrainerCallback):
Whether to use MLflow nested runs. If set to `True` or *1*, will create a nested run inside the current Whether to use MLflow nested runs. If set to `True` or *1*, will create a nested run inside the current
run. run.
- **MLFLOW_RUN_ID** (`str`, *optional*): - **MLFLOW_RUN_ID** (`str`, *optional*):
Allow to reattach to an existing run which can be usefull when resuming training from a checkpoint. When Allow to reattach to an existing run which can be useful when resuming training from a checkpoint. When
`MLFLOW_RUN_ID` environment variable is set, `start_run` attempts to resume a run with the specified run ID `MLFLOW_RUN_ID` environment variable is set, `start_run` attempts to resume a run with the specified run ID
and other parameters are ignored. and other parameters are ignored.
- **MLFLOW_FLATTEN_PARAMS** (`str`, *optional*, defaults to `False`): - **MLFLOW_FLATTEN_PARAMS** (`str`, *optional*, defaults to `False`):

2
src/transformers/models/nllb_moe/configuration_nllb_moe.py
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@ -100,7 +100,7 @@ class NllbMoeConfig(PretrainedConfig):
experts. experts.
router_bias (`bool`, *optional*, defaults to `False`): router_bias (`bool`, *optional*, defaults to `False`):
Whether or not the classifier of the router should have a bias. Whether or not the classifier of the router should have a bias.
moe_token_dropout (`float`, *optional*, defualt ot 0.2): moe_token_dropout (`float`, *optional*, default to 0.2):
Masking rate for MoE expert output masking (EOM), which is implemented via a Dropout2d on the expert Masking rate for MoE expert output masking (EOM), which is implemented via a Dropout2d on the expert
outputs. outputs.
output_router_logits (`bool`, *optional*, defaults to `False`): output_router_logits (`bool`, *optional*, defaults to `False`):