config.json

{
  "architectures": [
    "ElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dtype": "float32",
  "embedding_size": 128,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "PUNCT",
    "1": "WORD",
    "2": "NUM",
    "3": "RAND",
    "4": "IP",
    "5": "DURATION",
    "6": "SIZE",
    "7": "TIMESTAMP",
    "8": "LEVEL",
    "9": "URL",
    "10": "PATH"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "DURATION": 5,
    "IP": 4,
    "LEVEL": 8,
    "NUM": 2,
    "PATH": 10,
    "PUNCT": 0,
    "RAND": 3,
    "SIZE": 6,
    "TIMESTAMP": 7,
    "URL": 9,
    "WORD": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 4,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "transformers_version": "4.57.6",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}