config.json

{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "action",
    "1": "adventure",
    "2": "animation",
    "3": "comedy",
    "4": "crime",
    "5": "crime drama",
    "6": "drama",
    "7": "film noir",
    "8": "horror",
    "9": "musical",
    "10": "mystery",
    "11": "romance",
    "12": "science fiction",
    "13": "thriller",
    "14": "war",
    "15": "western"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "action": 0,
    "adventure": 1,
    "animation": 2,
    "comedy": 3,
    "crime": 4,
    "crime drama": 5,
    "drama": 6,
    "film noir": 7,
    "horror": 8,
    "musical": 9,
    "mystery": 10,
    "romance": 11,
    "science fiction": 12,
    "thriller": 13,
    "war": 14,
    "western": 15
  },
  "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": "4.29.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}