config.json

{
  "_name_or_path": "/content/drive/MyDrive/Colab/NER-bert-sci/ner-scibert-model",
  "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
}