Add adapter facebook-bart-large_qa_squad2_lohfink-rossi-leaveout version 1

README.md

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+---
+tags:
+- adapter-transformers
+- question-answering
+- adapterhub:qa/squad2
+- bart
+datasets:
+- squad_v2
+license: "apache-2.0"
+---
+
+# Adapter `facebook-bart-large_qa_squad2_lohfink-rossi-leaveout` for facebook/bart-large
+
+**Note: This adapter was not trained by the AdapterHub team, but by these author(s): Till Lohfink & Maria Rossi (Contributed equally.).
+See author details below.**
+
+Adapter for bart-large using a custom architecture (Lohfink-Rossi-Leaveout) trained on the SQuAD 2.0 dataset for 15 epochs with a Cosine with Restarts learning rate scheduler ans learning rate 0.001.
+
+**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("facebook/bart-large")
+adapter_name = model.load_adapter("AdapterHub/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout")
+model.set_active_adapters(adapter_name)
+```
+
+## Architecture & Training
+
+- Adapter architecture: lohfink-rossi-leaveout
+- Prediction head: question answering
+- Dataset: [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/)
+
+## Author Information
+
+- Author name(s): Till Lohfink & Maria Rossi (Contributed equally.)
+- Author email: tlohfink3@gatech.edu;mrossi7@gatech.edu
+- Author links: 
+
+
+
+## Citation
+
+```bibtex
+
+```
+
+*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/lohfink-rossi/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout.yaml*.

adapter_config.json

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+{
+  "config": {
+    "adapter_residual_before_ln": true,
+    "cross_adapter": false,
+    "dropout": 0.0,
+    "factorized_phm_W": true,
+    "factorized_phm_rule": false,
+    "hypercomplex_nonlinearity": "glorot-uniform",
+    "init_weights": "bert",
+    "inv_adapter": null,
+    "inv_adapter_reduction_factor": null,
+    "is_parallel": false,
+    "learn_phm": true,
+    "leave_out": [
+      0,
+      1,
+      2,
+      3,
+      11,
+      12,
+      13,
+      14
+    ],
+    "ln_after": false,
+    "ln_before": false,
+    "mh_adapter": true,
+    "non_linearity": "relu",
+    "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": 16,
+    "residual_before_ln": true,
+    "scaling": 1.0,
+    "shared_W_phm": false,
+    "shared_phm_rule": true,
+    "use_gating": false
+  },
+  "hidden_size": 1024,
+  "model_class": "BartAdapterModel",
+  "model_name": "facebook/bart-large",
+  "model_type": "bart",
+  "name": "squad_v2",
+  "version": "0.2.0"
+}

head_config.json

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+{
+  "config": {
+    "activation_function": null,
+    "dropout_prob": null,
+    "head_type": "question_answering",
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layers": 1,
+    "num_labels": 2
+  },
+  "hidden_size": 1024,
+  "model_class": "BartAdapterModel",
+  "model_name": "facebook/bart-large",
+  "model_type": "bart",
+  "name": "squad_v2",
+  "version": "0.2.0"
+}

pytorch_adapter.bin

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+size 16962770

pytorch_model_head.bin

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+size 9754