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Unified freezing interface
See original GitHub issue🚀 Feature request
We can freeze the backbone of individual models by finding the field name of the backbone (e.g., bert in BertForSequenceClassification) and setting .requires_grad. However, because the name of this field differs for different models, I don’t think there’s currently an easy way to do this that works for all models. This contradicts the philosophy that AutoModel(ForXXX) should hide all the implementation details.
Ideally, we can pass a trainable_backbone flag in the config or to the __init__ function directly that controls this behavior.
Issue Analytics
- State:
- Created 2 years ago
- Comments:12 (11 by maintainers)
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I think the two are separate issues - let’s start with this issue! Feel free to go ahead and open a PR @shabie.
Yes, this method does solve my problem – thanks!