config.json

{
  "architectures": [
    "ElectraForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "enfj",
    "1": "enfp",
    "2": "entj",
    "3": "entp",
    "4": "esfj",
    "5": "esfp",
    "6": "estj",
    "7": "estp",
    "8": "infj",
    "9": "infp",
    "10": "intj",
    "11": "intp",
    "12": "isfj",
    "13": "isfp",
    "14": "istj",
    "15": "istp"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "enfj": 0,
    "enfp": 1,
    "entj": 2,
    "entp": 3,
    "esfj": 4,
    "esfp": 5,
    "estj": 6,
    "estp": 7,
    "infj": 8,
    "infp": 9,
    "intj": 10,
    "intp": 11,
    "isfj": 12,
    "isfp": 13,
    "istj": 14,
    "istp": 15
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "torch_dtype": "float32",
  "transformers_version": "4.55.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 35000
}