config.json

{
  "_name_or_path": "theta/mbti-career",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u5718\u9ad4\u4e3b\u7fa9\u884c\u52d5",
    "1": "\u500b\u4eba\u4e3b\u7fa9\u884c\u52d5",
    "2": "\u76f4\u89ba\u7d71\u6574\u8a8d\u77e5",
    "3": "\u89c0\u5bdf\u611f\u53d7\u8a8d\u77e5",
    "4": "\u7406\u6027\u5f15\u5c0e\u6c7a\u7b56",
    "5": "\u611f\u6027\u5f15\u5c0e\u6c7a\u7b56",
    "6": "\u5b89\u5168\u7a69\u5b9a\u56ae\u5f80",
    "7": "\u6a5f\u6703\u8b8a\u5316\u56ae\u5f80"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": null,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.26.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}