yresults / 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": "IT\uacfc\ud559",
"1": "\uacbd\uc81c",
"2": "\uc0ac\ud68c",
"3": "\uc0dd\ud65c\ubb38\ud654",
"4": "\uc138\uacc4",
"5": "\uc2a4\ud3ec\uce20",
"6": "\uc815\uce58"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"IT\uacfc\ud559": 0,
"\uacbd\uc81c": 1,
"\uc0ac\ud68c": 2,
"\uc0dd\ud65c\ubb38\ud654": 3,
"\uc138\uacc4": 4,
"\uc2a4\ud3ec\uce20": 5,
"\uc815\uce58": 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": "4.40.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 32000
}