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": "\uacf5\ud559",
    "1": "\ub18d\uc218\ud574\uc591\ud559",
    "2": "\ubcf5\ud569\ud559",
    "3": "\uc0ac\ud68c\uacfc\ud559",
    "4": "\uc608\uc220\uccb4\uc721\ud559",
    "5": "\uc758\uc57d\ud559",
    "6": "\uc778\ubb38\ud559",
    "7": "\uc790\uc5f0\uacfc\ud559"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\uacf5\ud559": 0,
    "\ub18d\uc218\ud574\uc591\ud559": 1,
    "\ubcf5\ud569\ud559": 2,
    "\uc0ac\ud68c\uacfc\ud559": 3,
    "\uc608\uc220\uccb4\uc721\ud559": 4,
    "\uc758\uc57d\ud559": 5,
    "\uc778\ubb38\ud559": 6,
    "\uc790\uc5f0\uacfc\ud559": 7
  },
  "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": "4.41.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}