Add adapter bert-base-multilingual-cased_fa_wiki_pfeiffer version 1

README.md

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+---
+tags:
+- fill-mask
+- bert
+- adapter-transformers
+- adapterhub:fa/wiki
+language:
+- fa
+license: "apache-2.0"
+---
+
+# Adapter `bert-base-multilingual-cased_fa_wiki_pfeiffer` for bert-base-multilingual-cased
+
+An adapter for the `bert-base-multilingual-cased` model, trained on the [fa/wiki](https://adapterhub.ml/explore/fa/wiki/) dataset and includes a prediction head for masked lm.
+
+**This adapter was created for usage with the [Adapters](https://github.com/Adapter-Hub/adapters) library.**
+
+## Usage
+
+First, install `adapters`:
+
+```
+pip install -U adapters
+```
+
+Now, the adapter can be loaded and activated like this:
+
+```python
+from adapters import AutoAdapterModel
+
+model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased")
+adapter_name = model.load_adapter("AdapterHub/bert-base-multilingual-cased_fa_wiki_pfeiffer")
+model.set_active_adapters(adapter_name)
+```
+
+## Architecture & Training
+
+- Adapter architecture: pfeiffer
+- Prediction head: masked lm
+- Dataset: [fa/wiki](https://adapterhub.ml/explore/fa/wiki/)
+
+## Author Information
+
+- Author name(s): Jonas Pfeiffer
+- Author email: Jonas@Pfeiffer.ai
+- Author links: [Website](https://pfeiffer.ai), [GitHub](https://github.com/JoPfeiff), [Twitter](https://twitter.com/@PfeiffJo)
+
+
+
+## Citation
+
+```bibtex
+@inproceedings{pfeiffer20madx,
+  title = "{MAD-X}: {A}n {A}dapter-{B}ased {F}ramework for {M}ulti-{T}ask {C}ross-{L}ingual {T}ransfer",
+  author = "Pfeiffer, Jonas  and
+    Vuli{\'c}, Ivan  and
+    Gurevych, Iryna  and
+    Ruder, Sebastian",
+  booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
+  year = "2020",
+  address = "Online",
+  publisher = "Association for Computational Linguistics",
+  url = "https://www.aclweb.org/anthology/2020.emnlp-main.617",
+  pages = "7654--7673",
+}
+
+```
+
+*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-multilingual-cased_fa_wiki_pfeiffer.yaml*.

adapter_config.json

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+{
+  "config": {
+    "adapter_residual_before_ln": false,
+    "cross_adapter": false,
+    "dropout": 0.0,
+    "factorized_phm_W": true,
+    "factorized_phm_rule": false,
+    "hypercomplex_nonlinearity": "glorot-uniform",
+    "init_weights": "bert",
+    "inv_adapter": "nice",
+    "inv_adapter_reduction_factor": 2,
+    "is_parallel": false,
+    "learn_phm": true,
+    "leave_out": [],
+    "ln_after": false,
+    "ln_before": false,
+    "mh_adapter": false,
+    "non_linearity": "gelu_new",
+    "original_ln_after": true,
+    "original_ln_before": true,
+    "output_adapter": true,
+    "phm_bias": true,
+    "phm_c_init": "normal",
+    "phm_dim": 4,
+    "phm_init_range": 0.0001,
+    "phm_layer": false,
+    "phm_rank": 1,
+    "reduction_factor": 2,
+    "residual_before_ln": true,
+    "scaling": 1.0,
+    "shared_W_phm": false,
+    "shared_phm_rule": true,
+    "use_gating": false
+  },
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "bert-base-multilingual-cased",
+  "model_type": "bert",
+  "name": "fa",
+  "version": "0.2.0"
+}

head_config.json

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+{
+  "config": {
+    "activation_function": "gelu",
+    "bias": true,
+    "embedding_size": 768,
+    "head_type": "masked_lm",
+    "label2id": null,
+    "layer_norm": true,
+    "layers": 2,
+    "shift_labels": false,
+    "vocab_size": 119547
+  },
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "bert-base-multilingual-cased",
+  "model_type": "bert",
+  "name": "fa",
+  "version": "0.2.0"
+}

pytorch_adapter.bin

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+size 29570318

pytorch_model_head.bin

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