config.json

{
  "_name_or_path": "monologg/kobert",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "우울",
    "1": "기쁨",
    "2": "화남",
    "3": "슬픔",
    "4": "편안",
    "5": "걱정스러움",
    "6": "신남",
    "7": "충만"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "우울": 0,
    "기쁨": 1,
    "화남": 2,
    "슬픔": 3,
    "편안": 4,
    "걱정스러움": 5,
    "신남": 6,
    "충만": 7
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 8002
}