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": "1000",
    "1": "1001",
    "2": "1002",
    "3": "1003",
    "4": "1004",
    "5": "1005",
    "6": "1006",
    "7": "1007",
    "8": "1008",
    "9": "1009",
    "10": "1010",
    "11": "1011",
    "12": "1012",
    "13": "1013",
    "14": "1014",
    "15": "1015",
    "16": "1016",
    "17": "1017",
    "18": "1018",
    "19": "1019",
    "20": "1020",
    "21": "1021",
    "22": "1022",
    "23": "1023",
    "24": "1024",
    "25": "1025",
    "26": "1026",
    "27": "1027",
    "28": "1028",
    "29": "1029",
    "30": "1030",
    "31": "1031",
    "32": "1032",
    "33": "1033",
    "34": "1034",
    "35": "1035",
    "36": "1036",
    "37": "1037",
    "38": "1038",
    "39": "1039",
    "40": "1041",
    "41": "1042"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "1000": 0,
    "1001": 1,
    "1002": 2,
    "1003": 3,
    "1004": 4,
    "1005": 5,
    "1006": 6,
    "1007": 7,
    "1008": 8,
    "1009": 9,
    "1010": 10,
    "1011": 11,
    "1012": 12,
    "1013": 13,
    "1014": 14,
    "1015": 15,
    "1016": 16,
    "1017": 17,
    "1018": 18,
    "1019": 19,
    "1020": 20,
    "1021": 21,
    "1022": 22,
    "1023": 23,
    "1024": 24,
    "1025": 25,
    "1026": 26,
    "1027": 27,
    "1028": 28,
    "1029": 29,
    "1030": 30,
    "1031": 31,
    "1032": 32,
    "1033": 33,
    "1034": 34,
    "1035": 35,
    "1036": 36,
    "1037": 37,
    "1038": 38,
    "1039": 39,
    "1041": 40,
    "1042": 41
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.45.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}