Upload T5ForConditionalGeneration
Browse files- README.md +44 -0
- adapter_config.json +24 -0
- head_config.json +14 -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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- adapter-transformers
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- t5
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- adapterhub:self-explanations
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datasets:
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- self-explanations
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---
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# Adapter `nbogdan/bdn-se-flan_adapters` for google/flan-t5-small
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An [adapter](https://adapterhub.ml) for the `google/flan-t5-small` model that was trained on the [self-explanations](https://adapterhub.ml/explore/self-explanations/) dataset.
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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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## Usage
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First, install `adapter-transformers`:
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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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Now, the adapter can be loaded and activated like this:
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```python
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from transformers import AutoAdapterModel
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model = AutoAdapterModel.from_pretrained("google/flan-t5-small")
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adapter_name = model.load_adapter("nbogdan/bdn-se-flan_adapters", 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": 16,
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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": true,
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"output_lora": true,
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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": 512,
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"model_class": "T5ForConditionalGeneration",
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"model_name": "google/flan-t5-small",
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"model_type": "t5",
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"name": "flant5-small-1bs-0ex-overall",
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"version": "3.2.1"
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}
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head_config.json
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{
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"config": null,
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"hidden_size": 512,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"model_class": "T5ForConditionalGeneration",
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"model_name": "google/flan-t5-small",
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"model_type": "t5",
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"name": null,
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"num_labels": 2,
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"version": "3.2.1"
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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 sha256:9f1b510699908e2ba5bab130dc1f5e817a63d75bb09d33a1fdbf40be542c723c
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size 3009937
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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:baa3fb1bcb6ce07ab9ce30520eb8c9d6bdef4115e37a1512a5bf99f289bf1d4f
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size 65798988
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