Upload BertForTokenClassification

config.json

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+{
+  "_name_or_path": "/content/drive/MyDrive/Colab/NER-bert-sci/ner-scibert-model_ddsa",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Material",
+    "1": "O",
+    "2": "B-OtherScientificTerm",
+    "3": "I-OtherScientificTerm",
+    "4": "B-Generic",
+    "5": "B-Method",
+    "6": "I-Method",
+    "7": "B-Task",
+    "8": "I-Task",
+    "9": "I-Material",
+    "10": "B-Metric",
+    "11": "I-Metric",
+    "12": "I-Generic"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Generic": 4,
+    "B-Material": 0,
+    "B-Method": 5,
+    "B-Metric": 10,
+    "B-OtherScientificTerm": 2,
+    "B-Task": 7,
+    "I-Generic": 12,
+    "I-Material": 9,
+    "I-Method": 6,
+    "I-Metric": 11,
+    "I-OtherScientificTerm": 3,
+    "I-Task": 8,
+    "O": 1
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31116
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d83abaa088500f60b311217a283ece7af9e343870723353ddd81d3a2fafa0c0d
+size 437498929