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  1. README.md +43 -0
  2. adapter_config.json +40 -0
  3. pytorch_adapter.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - bert
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+ - adapter-transformers
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+ datasets:
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+ - glue
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+ ---
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+
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+ # Adapter `WillHeld/pfadapter-bert-base-uncased-tada-value-5k` for bert-base-uncased
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+
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+ An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [glue](https://huggingface.co/datasets/glue/) dataset.
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+
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+ This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.
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+
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+ ## Usage
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+
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+ First, install `adapter-transformers`:
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+
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+ ```
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+ pip install -U adapter-transformers
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+ ```
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+ _Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_
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+
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+ Now, the adapter can be loaded and activated like this:
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+
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+ ```python
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+ from transformers import AutoAdapterModel
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+
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+ model = AutoAdapterModel.from_pretrained("bert-base-uncased")
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+ adapter_name = model.load_adapter("WillHeld/pfadapter-bert-base-uncased-tada-value-5k", source="hf", set_active=True)
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+ ```
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+
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+ ## Architecture & Training
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+
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+ <!-- Add some description here -->
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+
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+ ## Evaluation results
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+
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+ <!-- Add some description here -->
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+
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+ ## Citation
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+
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+ <!-- Add some description here -->
adapter_config.json ADDED
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+ {
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+ "config": {
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+ "adapter_residual_before_ln": false,
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+ "cross_adapter": false,
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+ "factorized_phm_W": true,
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+ "factorized_phm_rule": false,
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+ "hypercomplex_nonlinearity": "glorot-uniform",
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+ "init_weights": "bert",
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+ "inv_adapter": null,
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+ "inv_adapter_reduction_factor": null,
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+ "is_parallel": false,
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+ "learn_phm": true,
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+ "leave_out": [],
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+ "ln_after": false,
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+ "ln_before": false,
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+ "mh_adapter": false,
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+ "non_linearity": "relu",
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+ "original_ln_after": true,
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+ "original_ln_before": true,
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+ "output_adapter": true,
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+ "phm_bias": true,
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+ "phm_c_init": "normal",
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+ "phm_dim": 4,
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+ "phm_init_range": 0.0001,
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+ "phm_layer": false,
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+ "phm_rank": 1,
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+ "reduction_factor": 16,
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+ "residual_before_ln": true,
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+ "scaling": 1.0,
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+ "shared_W_phm": false,
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+ "shared_phm_rule": true,
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+ "use_gating": false
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+ },
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+ "hidden_size": 768,
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+ "model_class": "BertAdapterModelForAlignment",
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+ "model_name": "bert-base-uncased",
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+ "model_type": "bert",
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+ "name": "tada_aave",
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+ "version": "3.1.0a1"
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+ }
pytorch_adapter.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5c2bdf09f12b263db8441dff8f4b9d9f7649e7070afdb0b5f03553bcfe2f4f62
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+ size 3595502