Added SciBERT-SQuAD-QuAC model

README.md

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+---
+language: en
+---
+
+# SciBERT-SQuAD-QuAC
+
+This is the [SciBERT language representation model](https://huggingface.co/allenai/scibert_scivocab_uncased) fine tuned for Question Answering. SciBERT is a pre-trained language model based on BERT that has been trained on a large corpus of scientific text. When fine tuning for Question Answering we combined [SQuAD2.0](https://www.aclweb.org/anthology/P18-2124/) and [QuAC](https://arxiv.org/abs/1808.07036) datasets.
+
+If using this model, please cite the following paper:
+```
+@inproceedings{otegi-etal-2020-automatic,
+    title = "Automatic Evaluation vs. User Preference in Neural Textual {Q}uestion{A}nswering over {COVID}-19 Scientific Literature",
+    author = "Otegi, Arantxa  and
+      Campos, Jon Ander  and
+      Azkune, Gorka  and
+      Soroa, Aitor  and
+      Agirre, Eneko",
+    booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
+    month = dec,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.nlpcovid19-2.15",
+    doi = "10.18653/v1/2020.nlpcovid19-2.15",
+}
+```

config.json

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+{
+  "_num_labels": 2,
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "decoder_start_token_id": null,
+  "do_sample": false,
+  "early_stopping": false,
+  "eos_token_id": null,
+  "finetuning_task": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "is_encoder_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "length_penalty": 1.0,
+  "max_length": 20,
+  "max_position_embeddings": 512,
+  "min_length": 0,
+  "model_type": "bert",
+  "no_repeat_ngram_size": 0,
+  "num_attention_heads": 12,
+  "num_beams": 1,
+  "num_hidden_layers": 12,
+  "num_return_sequences": 1,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "output_past": true,
+  "pad_token_id": 0,
+  "prefix": null,
+  "pruned_heads": {},
+  "repetition_penalty": 1.0,
+  "task_specific_params": null,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "torchscript": false,
+  "type_vocab_size": 2,
+  "use_bfloat16": false,
+  "vocab_size": 31090
+}

pytorch_model.bin

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