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klue_ynat_roberta_base_model

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klue_ynat_roberta_base_model / config.json

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	{
	"_name_or_path": "klue/roberta-base",
	"architectures": [
	"RobertaForSequenceClassification"
	],
	"attention_probs_dropout_prob": 0.1,
	"bos_token_id": 0,
	"classifier_dropout": null,
	"eos_token_id": 2,
	"gradient_checkpointing": false,
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.1,
	"hidden_size": 768,
	"id2label": {
	"0": "IT과학",
	"1": "경제",
	"2": "사회",
	"3": "생활문화",
	"4": "세계",
	"5": "스포츠",
	"6": "정치"
	},
	"initializer_range": 0.02,
	"intermediate_size": 3072,
	"label2id": {
	"IT과학": 0,
	"경제": 1,
	"사회": 2,
	"생활문화": 3,
	"세계": 4,
	"스포츠": 5,
	"정치": 6
	},
	"layer_norm_eps": 1e-05,
	"max_position_embeddings": 514,
	"model_type": "roberta",
	"num_attention_heads": 12,
	"num_hidden_layers": 12,
	"pad_token_id": 1,
	"position_embedding_type": "absolute",
	"problem_type": "single_label_classification",
	"tokenizer_class": "BertTokenizer",
	"torch_dtype": "float32",
	"transformers_version": "4.30.2",
	"type_vocab_size": 1,
	"use_cache": true,
	"vocab_size": 32000
	}