Emphasizing/config.json

{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "Action",
    "2": "Agent",
    "3": "Artifact",
    "4": "Competing_consideration",
    "5": "Consideration",
    "6": "Degree",
    "7": "Manner",
    "8": "Reason"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Action": 1,
    "Agent": 2,
    "Artifact": 3,
    "Competing_consideration": 4,
    "Consideration": 5,
    "Degree": 6,
    "Manner": 7,
    "O": 0,
    "Reason": 8
  },
  "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",
  "transformers_version": "4.57.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 100000
}