Upload BertForSequenceClassification

config.json

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+{
+  "_name_or_path": "./",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "text-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Aggregate",
+    "1": "Cohort Study or Clinical Trial",
+    "2": "Has Comparator Group",
+    "3": "Has Human Subjects",
+    "4": "Has Population Size",
+    "5": "Has Quantitative Outcome Measure",
+    "6": "Has Study Drug(s)",
+    "7": "Has Target Disease"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Aggregate": 0,
+    "Cohort Study or Clinical Trial": 1,
+    "Has Comparator Group": 2,
+    "Has Human Subjects": 3,
+    "Has Population Size": 4,
+    "Has Quantitative Outcome Measure": 5,
+    "Has Study Drug(s)": 6,
+    "Has Target Disease": 7
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a56839e23de26d4deda28df5d6c8d81746ec458fc795e196b1b2e85a1a166210
+size 433331249