dnrops
/
transformers
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[docs] fix invalid class name (#11438) 

* fix invalid class name

* proper ref

* proper ref
This commit is contained in:
Stas Bekman 2021-04-26 08:37:32 -07:00 committed by GitHub
parent 6715e3b6a1
commit a753cafdc0
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/source/migration.md
View File

@ -169,8 +169,8 @@ Regarding the `TFTrainer` class:
- The `TFTrainer` method `_setup_wandb` is deprecated in favor of `setup_wandb`.
- The `TFTrainer` method `_run_model` is deprecated in favor of `run_model`.
Regarding the `TrainerArgument` class:
- The `TrainerArgument` argument `evaluate_during_training` is deprecated in favor of `evaluation_strategy`.
Regarding the `TrainingArguments` class:
- The `TrainingArguments` argument `evaluate_during_training` is deprecated in favor of `evaluation_strategy`.
Regarding the Transfo-XL model:
- The Transfo-XL configuration attribute `tie_weight` becomes `tie_words_embeddings`.

4
src/transformers/integrations.py
View File

@ -856,8 +856,8 @@ class MLflowCallback(TrainerCallback):
Whether to use MLflow .log_artifact() facility to log artifacts.
This only makes sense if logging to a remote server, e.g. s3 or GCS. If set to `True` or `1`, will copy
whatever is in TrainerArgument's output_dir to the local or remote artifact storage. Using it without a
remote storage will just copy the files to your artifact location.
whatever is in :class:`~transformers.TrainingArguments`'s ``output_dir`` to the local or remote
artifact storage. Using it without a remote storage will just copy the files to your artifact location.
"""
log_artifacts = os.getenv("HF_MLFLOW_LOG_ARTIFACTS", "FALSE").upper()
if log_artifacts in {"TRUE", "1"}: