End of training

.gitignore

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config.json

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+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "id2label": {
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+    "1": "Business_Administrative",
+    "2": "Covid19",
+    "3": "Endpoint_Met",
+    "4": "Ethical_Reason",
+    "5": "Insufficient_Data",
+    "6": "Insufficient_Enrollment",
+    "7": "Interim_Analysis",
+    "8": "Invalid_Reason",
+    "9": "Logistics_Resources",
+    "10": "Negative",
+    "11": "No_Context",
+    "12": "Regulatory",
+    "13": "Safety_Sideeffects",
+    "14": "Study_Design",
+    "15": "Study_Staff_Moved",
+    "16": "Success"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "Covid19": 2,
+    "Endpoint_Met": 3,
+    "Ethical_Reason": 4,
+    "Insufficient_Data": 5,
+    "Insufficient_Enrollment": 6,
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+    "Invalid_Reason": 8,
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+    "Regulatory": 12,
+    "Safety_Sideeffects": 13,
+    "Study_Design": 14,
+    "Study_Staff_Moved": 15,
+    "Success": 16
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
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+  "transformers_version": "4.21.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

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special_tokens_map.json

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tokenizer_config.json

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