config.json

{
  "_name_or_path": "law-ai/InLegalBERT",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_ids": 0,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Issue",
    "1": "Court Discourse",
    "2": "Conclusion",
    "3": "Precedent Analysis",
    "4": "Section Analysis",
    "5": "Argument by Petitioner",
    "6": "Fact",
    "7": "Argument by Respondent",
    "8": "Ratio",
    "9": "Appellant",
    "10": "Respondent",
    "11": "Argument by Appellant",
    "12": "Petitioner",
    "13": "Judge",
    "14": "Argument by Defendant"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Appellant": 9,
    "Argument by Appellant": 11,
    "Argument by Defendant": 14,
    "Argument by Petitioner": 5,
    "Argument by Respondent": 7,
    "Conclusion": 2,
    "Court Discourse": 1,
    "Fact": 6,
    "Issue": 0,
    "Judge": 13,
    "Petitioner": 12,
    "Precedent Analysis": 3,
    "Ratio": 8,
    "Respondent": 10,
    "Section Analysis": 4
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}