Upload BertForTokenClassification

config.json

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+{
+  "_name_or_path": "mbert-base-clinical-trials-attributes",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Family_member",
+    "1": "I-Family_member",
+    "2": "B-Other",
+    "3": "I-Other",
+    "4": "B-Patient",
+    "5": "I-Patient",
+    "6": "B-History_of",
+    "7": "I-History_of",
+    "8": "B-Future",
+    "9": "I-Future",
+    "10": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Family_member": 0,
+    "B-Future": 8,
+    "B-History_of": 6,
+    "B-Other": 2,
+    "B-Patient": 4,
+    "I-Family_member": 1,
+    "I-Future": 9,
+    "I-History_of": 7,
+    "I-Other": 3,
+    "I-Patient": 5,
+    "O": 10
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:019edaf30fd30b41d453c3304505a47d9f560c432fd7501c9ba589c87c542a92
+size 709154541