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d35e58c
1 Parent(s): 04f10b8

Upload BertForTokenClassification

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Files changed (2) hide show
  1. config.json +28 -28
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "allenai/scibert_scivocab_cased",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
@@ -9,36 +9,36 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2",
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- "3": "LABEL_3",
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- "4": "LABEL_4",
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- "5": "LABEL_5",
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- "6": "LABEL_6",
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- "7": "LABEL_7",
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- "8": "LABEL_8",
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- "9": "LABEL_9",
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- "10": "LABEL_10",
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- "11": "LABEL_11",
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- "12": "LABEL_12"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_10": 10,
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- "LABEL_11": 11,
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- "LABEL_12": 12,
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- "LABEL_2": 2,
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- "LABEL_3": 3,
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- "LABEL_4": 4,
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- "LABEL_5": 5,
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- "LABEL_6": 6,
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- "LABEL_7": 7,
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- "LABEL_8": 8,
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- "LABEL_9": 9
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
@@ -48,7 +48,7 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.12.5",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31116
 
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  {
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+ "_name_or_path": "/content/drive/MyDrive/Colab/NER-bert-sci/ner-scibert-model",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "B-Material",
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+ "1": "O",
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+ "2": "B-OtherScientificTerm",
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+ "3": "I-OtherScientificTerm",
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+ "4": "B-Generic",
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+ "5": "B-Method",
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+ "6": "I-Method",
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+ "7": "B-Task",
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+ "8": "I-Task",
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+ "9": "I-Material",
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+ "10": "B-Metric",
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+ "11": "I-Metric",
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+ "12": "I-Generic"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "B-Generic": 4,
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+ "B-Material": 0,
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+ "B-Method": 5,
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+ "B-Metric": 10,
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+ "B-OtherScientificTerm": 2,
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+ "B-Task": 7,
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+ "I-Generic": 12,
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+ "I-Material": 9,
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+ "I-Method": 6,
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+ "I-Metric": 11,
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+ "I-OtherScientificTerm": 3,
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+ "I-Task": 8,
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+ "O": 1
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.24.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31116
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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- size 437514737
 
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