config.json

{
  "_name_or_path": "klue/bert-base",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "IT\uacfc\ud559",
    "1": "\uacbd\uc81c",
    "2": "\uc0ac\ud68c",
    "3": "\uc0dd\ud65c\ubb38\ud654",
    "4": "\uc138\uacc4",
    "5": "\uc2a4\ud3ec\uce20",
    "6": "\uc815\uce58"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "IT\uacfc\ud559": 0,
    "\uacbd\uc81c": 1,
    "\uc0ac\ud68c": 2,
    "\uc0dd\ud65c\ubb38\ud654": 3,
    "\uc138\uacc4": 4,
    "\uc2a4\ud3ec\uce20": 5,
    "\uc815\uce58": 6
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_hidden_states": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}