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kor-nli 및 klue-nli로 학습하였습니다.

test accuracy(KLUE-NLI): 0.889667

model_name = 'deliciouscat/kf-deberta-base-cross-nli'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3).to(device)

def encode(examples):
    return tokenizer(examples['premise'], examples['hypothesis'], truncation=True, padding='max_length', max_length=128)
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186M params
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F32
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Datasets used to train deliciouscat/kf-deberta-base-cross-nli