Add adapter bert-base-multilingual-cased-my-wiki_pfeiffer_relu version madx
Browse files- README.md +63 -0
- adapter_config.json +41 -0
- pytorch_adapter.bin +3 -0
README.md
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---
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tags:
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- bert
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- adapter-transformers
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- adapterhub:my/wiki
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language:
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- my
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license: "apache-2.0"
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---
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# Adapter `bert-base-multilingual-cased-my-wiki_pfeiffer_relu` for bert-base-multilingual-cased
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Pfeiffer Adapter trained with Masked Language Modelling on Myanmar Wikipedia Articles for 100k steps and a batch size of 64.
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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("bert-base-multilingual-cased")
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adapter_name = model.load_adapter("AdapterHub/bert-base-multilingual-cased-my-wiki_pfeiffer_relu")
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model.set_active_adapters(adapter_name)
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```
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## Architecture & Training
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- Adapter architecture: pfeiffer
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- Prediction head: None
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- Dataset: [my/wiki](https://adapterhub.ml/explore/my/wiki/)
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## Author Information
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- Author name(s): Jonas Pfeiffer
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- Author email: jonas@pfeiffer.ai
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- Author links: [Website](https://pfeiffer.ai), [GitHub](https://github.com/jopfeiff), [Twitter](https://twitter.com/@PfeiffJo)
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## Citation
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```bibtex
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@article{pfeiffer20madx,
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title={{MAD-X}: An {A}dapter-based {F}ramework for {M}ulti-task {C}ross-lingual {T}ransfer},
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author={Pfeiffer, Jonas and Vuli\'{c}, Ivan and Gurevych, Iryna and Ruder, Sebastian},
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journal={arXiv preprint},
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year={2020},
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url={https://arxiv.org/pdf/2005.00052.pdf},
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}
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```
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*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-multilingual-cased-my-wiki_pfeiffer_relu.yaml*.
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adapter_config.json
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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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"dropout": 0.0,
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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": "nice",
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"inv_adapter_reduction_factor": 2,
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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": 2,
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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": "BertAdapterModel",
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"model_name": "bert-base-multilingual-cased",
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"model_type": "bert",
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"name": "my",
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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:b48a6667b6607acd6584a84a285a62628b9601e30debdaa3906f620adc6d49a0
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size 29570318
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