Rename AdapterConfigBase to AdapterConfig #601
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Refactoring the modeling classes so that they inherit from HuggingFace classes Renaming our classes to ...WithAdapters
Refactored ALBERT
Co-authored-by: calpt <[email protected]>
Co-authored-by: calpt <[email protected]>
Co-authored-by: Leon Engländer <[email protected]>
Co-authored-by: calpt <[email protected]>
Co-authored-by: calpt <[email protected]>
add remove test inv_adapters
This PR removes all XModelWithHeads classes and updates the notebooks that have used these classes.
This PR updates the documentation to the new version for the sections: - Adapter Activation and Composition - Prediction Heads - Embeddings --------- Co-authored-by: Hannah Sterz <[email protected]>
…apter-hub#41) Changed the following documentation pages: - Adding Adapters to a Model - Extending the Library - Model Mixins --------- Co-authored-by: TimoImhof <[email protected]>
This PR adjusts all example scripts so that they work again. I deleted all Hugging Face scripts that we hadn't customized yet. --------- Co-authored-by: TimoImhof <[email protected]>
This PR updates the example notebooks to the adapters package.
Upgrade notes: - remove copying of model classes for GPT-2 and GPT-J due to changes to Transformers merged in huggingface/transformers#25188. - Add extra argument to `_resize_token_embeddings()` - Add sequence classification head to T5 & use it in adapter tests - Fix test config of Llama
Refactors the implementation of composition blocks in the model forward pass such that more of the logic is shared between all adapter methods. ### Changes - Move adapter methods into new `methods` folder - Introduce new `ComposableAdapterLayerBase` as subclass of `AdapterLayerbase` as shared base class of all adapter methods that support composition. - This class provides default implementations for a couple of composition blocks (currently `Stack`, `Parallel`, `BatchSplit`, `Average`) which can be used by all subclasses. - To enable these composition blocks for deriving methods, a couple of helper methods defined in `ComposableAdapterLayerBase` must be implemented. See https://github.com/calpt/adapter-transformers/blob/55fdc0cbe2f695914108a9c0e208127b13bc617e/src/adapters/methods/adapter_layer_base.py#L132-L222. - Different adapter methods require passing different inputs to each composition block. Thus, the input states are abstracted as a `NamedTuple` in the base class. Deriving classes should define concrete `NamedTuple`-derived state classes. E.g., see https://github.com/calpt/adapter-transformers/blob/55fdc0cbe2f695914108a9c0e208127b13bc617e/src/adapters/methods/bottleneck.py#L22 - Update `Split` composition block to support more than two child blocks. Splits are defined as a list of split indices, ie. `Split("a", "b", "c", splits=[64, 64, 64])`. **Breaking change** - Renamings: `AdapterLayer` -> `BottleneckLayer`; `PrefixTuningShim` -> `PrefixTuningLayer` --------- Co-authored-by: Leon Engländer <[email protected]>
calpt
approved these changes
Nov 14, 2023
docs/transitioning.md
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| @@ -50,6 +50,12 @@ The `adapters` library supports the configuration of adapters using [config stri | |||
| For a complete list of config strings and classes see [here](https://docs.adapterhub.ml/overview.html). We strongly recommend using the new config strings, but we will continue to support the old config strings for the time being to make the transition easier. | |||
| Note that with the config strings the coresponding adapter config classes have changed, e.g. `PfeifferConfig` -> `SeqBnConfig`. | |||
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| An other consequence of this that the `AdapterConfig` class is now not only for the bottleneck adapters anymore, but the base class of all the configurations (previously `AdapterConfigBase`). Hence the function this class serves has changed. However, you can still load adapter configs with: | |||
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| An other consequence of this that the `AdapterConfig` class is now not only for the bottleneck adapters anymore, but the base class of all the configurations (previously `AdapterConfigBase`). Hence the function this class serves has changed. However, you can still load adapter configs with: | |
| Another consequence of this that the `AdapterConfig` class is now not only for the bottleneck adapters anymore, but the base class of all the configurations (previously `AdapterConfigBase`). Hence the function this class serves has changed. However, you can still load adapter configs with: |
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