config.json

{
  "_name_or_path": "prajjwal1/bert-mini",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "category",
    "1": "news",
    "2": "sports",
    "3": "finance",
    "4": "video",
    "5": "travel",
    "6": "foodanddrink",
    "7": "lifestyle",
    "8": "weather",
    "9": "health",
    "10": "autos",
    "11": "music",
    "12": "tv",
    "13": "movies",
    "14": "entertainment",
    "15": "kids",
    "16": "middleeast",
    "17": "games",
    "18": "northamerica"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "autos": 10,
    "category": 0,
    "entertainment": 14,
    "finance": 3,
    "foodanddrink": 6,
    "games": 17,
    "health": 9,
    "kids": 15,
    "lifestyle": 7,
    "middleeast": 16,
    "movies": 13,
    "music": 11,
    "news": 1,
    "northamerica": 18,
    "sports": 2,
    "travel": 5,
    "tv": 12,
    "video": 4,
    "weather": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 4,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.45.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}