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Browse files- README.md +43 -0
- adapter_config.json +25 -0
- head_config.json +21 -0
- pytorch_adapter.bin +3 -0
- pytorch_model_head.bin +3 -0
README.md
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---
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tags:
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- roberta
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- adapterhub:sentiment/rotten_tomatoes
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- adapter-transformers
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datasets:
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- rotten_tomatoes
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---
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# Adapter `nicoberk/test-adapter-lora` for roberta-base
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An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [sentiment/rotten_tomatoes](https://adapterhub.ml/explore/sentiment/rotten_tomatoes/) dataset and includes a prediction head for classification.
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This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
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## Usage
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First, install `adapters`:
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```
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pip install -U adapters
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```
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Now, the adapter can be loaded and activated like this:
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```python
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from adapters import AutoAdapterModel
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model = AutoAdapterModel.from_pretrained("roberta-base")
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adapter_name = model.load_adapter("nicoberk/test-adapter-lora", source="hf", set_active=True)
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```
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## Architecture & Training
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<!-- Add some description here -->
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## Evaluation results
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<!-- Add some description here -->
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## Citation
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<!-- Add some description here -->
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adapter_config.json
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{
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"config": {
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"alpha": 8,
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"architecture": "lora",
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"attn_matrices": [
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"q",
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"v"
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],
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"composition_mode": "add",
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"dropout": 0.0,
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"init_weights": "lora",
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"intermediate_lora": false,
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"leave_out": [],
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"output_lora": false,
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"r": 8,
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"selfattn_lora": 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": "RobertaAdapterModel",
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"model_name": "roberta-base",
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"model_type": "roberta",
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"name": "rotten_tomatoes",
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"version": "0.2.0"
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}
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head_config.json
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{
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"config": {
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"activation_function": "tanh",
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"bias": true,
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"dropout_prob": null,
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"head_type": "classification",
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"label2id": {
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"\ud83d\udc4d": 1,
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"\ud83d\udc4e": 0
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},
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"layers": 2,
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"num_labels": 2,
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"use_pooler": false
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},
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"hidden_size": 768,
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"model_class": "RobertaAdapterModel",
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"model_name": "roberta-base",
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"model_type": "roberta",
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"name": "rotten_tomatoes",
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"version": "0.2.0"
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}
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pytorch_adapter.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f371bd256235a17b4216fe9bb9dc66b42dd2faefc05a8fddc3e4843c385f93d
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size 1197670
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pytorch_model_head.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:27b8b08ff04c191e48f74e8b3752a7db92f6de18c69eff49d5bff6cb35ffe7b3
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size 2370728
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