Pushed the best model based on paper

.gitattributes

@@ -14,3 +14,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+nbest_predictions.json filter=lfs diff=lfs merge=lfs -text

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/content/drive/MyDrive/models/C10_roberta-base-100%-using-CUAD-trained-on-Only-Has-Ans-dataset",
+  "_name_or_path": "roberta-base",
   "architectures": [
     "RobertaForQuestionAnswering"
   ],
@@ -19,7 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.8.2",
+  "transformers_version": "4.7.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

nbest_predictions.json

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+size 37977991

pytorch_model.bin

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-size 496308209
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+size 496311025

tokenizer_config.json

@@ -1 +1 @@
-{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "/content/drive/MyDrive/models/C10_roberta-base-100%-using-CUAD-trained-on-Only-Has-Ans-dataset", "tokenizer_class": "RobertaTokenizer"}
+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base"}

training_args.bin

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