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{
  "_name_or_path": "/content/outputs/",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Auto",
    "1": "Bhakti",
    "2": "Crime",
    "3": "Education",
    "4": "Fashion",
    "5": "Health",
    "6": "International",
    "7": "Manoranjan",
    "8": "Politics",
    "9": "Sports",
    "10": "Tech",
    "11": "Travel"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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    "Bhakti": 1,
    "Tech": 10,
    "Travel": 11,
    "Crime": 2,
    "Education": 3,
    "Fashion": 4,
    "Health": 5,
    "International": 6,
    "Manoranjan": 7,
    "Politics": 8,
    "Sports": 9
  },
  "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",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 197285
}