config.json

{
  "_attn_implementation_autoset": true,
  "_name_or_path": "chidamnat2002/content-classifier",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
    "0": "travel",
    "1": "arts",
    "2": "hobbies",
    "3": "sports",
    "4": "autos",
    "5": "business",
    "6": "home",
    "7": "society",
    "8": "fashion",
    "9": "government",
    "10": "education",
    "11": "health",
    "12": "tech",
    "13": "news",
    "14": "food",
    "15": "inconclusive",
    "16": "finance",
    "17": "realestate",
    "18": "animals",
    "19": "career"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "animals": 18,
    "arts": 1,
    "autos": 4,
    "business": 5,
    "career": 19,
    "education": 10,
    "fashion": 8,
    "finance": 16,
    "food": 14,
    "government": 9,
    "health": 11,
    "hobbies": 2,
    "home": 6,
    "inconclusive": 15,
    "news": 13,
    "realestate": 17,
    "society": 7,
    "sports": 3,
    "tech": 12,
    "travel": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.49.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}