config.json

{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForTokenClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "unrelated",
    "1": "stereotype_gender",
    "2": "anti-stereotype_gender",
    "3": "stereotype_race",
    "4": "anti-stereotype_race",
    "5": "stereotype_profession",
    "6": "anti-stereotype_profession",
    "7": "stereotype_religion",
    "8": "anti-stereotype_religion"
  },
  "initializer_range": 0.02,
  "label2id": {
    "anti-stereotype_gender": 2,
    "anti-stereotype_profession": 6,
    "anti-stereotype_race": 4,
    "anti-stereotype_religion": 8,
    "stereotype_gender": 1,
    "stereotype_profession": 5,
    "stereotype_race": 3,
    "stereotype_religion": 7,
    "unrelated": 0
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.31.0.dev0",
  "vocab_size": 30522
}