config.json

{
  "_attn_implementation_autoset": true,
  "_name_or_path": "/content/cross-encoder/ms-marco-TinyBERT-L-2-v2",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 128,
  "id2label": {
    "0": "cc-csc",
    "1": "cc-exp",
    "2": "cc-exp-month",
    "3": "cc-exp-year",
    "4": "cc-name",
    "5": "cc-number",
    "6": "cc-type",
    "7": "email",
    "8": "given-name",
    "9": "last-name",
    "10": "other",
    "11": "postal-code"
  },
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "label2id": {
    "cc-csc": 0,
    "cc-exp": 1,
    "cc-exp-month": 2,
    "cc-exp-year": 3,
    "cc-name": 4,
    "cc-number": 5,
    "cc-type": 6,
    "email": 7,
    "given-name": 8,
    "last-name": 9,
    "other": 10,
    "postal-code": 11
  },
  "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",
  "sbert_ce_default_activation_function": "torch.nn.modules.linear.Identity",
  "transformers_version": "4.46.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}