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{
"architectures": [
"ElectraForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"dtype": "float32",
"embedding_size": 768,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "\uae30\uc068",
"1": "\ub180\ub77c\uc6c0",
"2": "\ub450\ub824\uc6c0",
"3": "\ubd84\ub178",
"4": "\ubd88\ucf8c\ud568",
"5": "\uc124\ub818",
"6": "\uc2ac\ud514",
"7": "\ud3c9\ubc94\ud568"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\uae30\uc068": 0,
"\ub180\ub77c\uc6c0": 1,
"\ub450\ub824\uc6c0": 2,
"\ubd84\ub178": 3,
"\ubd88\ucf8c\ud568": 4,
"\uc124\ub818": 5,
"\uc2ac\ud514": 6,
"\ud3c9\ubc94\ud568": 7
},
"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,
"transformers_version": "4.57.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 35000
}