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{
  "_name_or_path": "prajjwal1/bert-tiny",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 128,
  "id2label": {
    "0": "O",
    "1": "JOB",
    "2": "EMAIL",
    "3": "PHONE",
    "4": "COUNTRY",
    "5": "POSTAL_CODE",
    "6": "STATE",
    "7": "CITY",
    "8": "COMPANY",
    "9": "INDUSTRY",
    "10": "ADDRESS",
    "11": "NAME",
    "12": "SUMMARY",
    "13": "REVIEW"
  },
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "label2id": {
    "ADDRESS": 10,
    "CITY": 7,
    "COMPANY": 8,
    "COUNTRY": 4,
    "EMAIL": 2,
    "INDUSTRY": 9,
    "JOB": 1,
    "NAME": 11,
    "O": 0,
    "PHONE": 3,
    "POSTAL_CODE": 5,
    "REVIEW": 13,
    "STATE": 6,
    "SUMMARY": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 2,
  "num_hidden_layers": 2,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.26.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}