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indicate default evaluation in breaking changes

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thomwolf
2019-07-16 15:45:58 +02:00
parent 4acaa65068
commit 5c82d3488f
2 changed files with 8 additions and 2 deletions
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5
README.md
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@@ -384,7 +384,10 @@ loss, logits, attentions = outputs
### Serialization ### Serialization
While not a breaking change, the serialization methods have been standardized and you probably should switch to the new method `save_pretrained(save_directory)` if you were using any other seralization method before. Breaking change: Models are now set in evaluation mode by default when instantiated with the `from_pretrained()` method.
To train them don't forget to set them back in training mode (`model.train()`) to activate the dropout modules.
Also, while not a breaking change, the serialization methods have been standardized and you probably should switch to the new method `save_pretrained(save_directory)` if you were using any other seralization method before.
Here is an example: Here is an example:

5
docs/source/migration.md
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@@ -35,7 +35,10 @@ loss, logits, attentions = outputs
### Serialization ### Serialization
While not a breaking change, the serialization methods have been standardized and you probably should switch to the new method `save_pretrained(save_directory)` if you were using any other seralization method before. Breaking change: Models are now set in evaluation mode by default when instantiated with the `from_pretrained()` method.
To train them don't forget to set them back in training mode (`model.train()`) to activate the dropout modules.
Also, while not a breaking change, the serialization methods have been standardized and you probably should switch to the new method `save_pretrained(save_directory)` if you were using any other seralization method before.
Here is an example: Here is an example: