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Text Classification On Hatexplain 1

평가 지표

Accuracy (2 classes)

F1 Macro

평가 결과

이 벤치마크에서 각 모델의 성능 결과

			Paper Title
Space-XLNet	0.8798	0.8797	Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
XLNet	0.8160	0.8156	Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
Space-BERT	0.8110	0.8108	Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
BERT-base	0.6588	0.6555	Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs

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Text Classification On Hatexplain 1 | SOTA | HyperAI초신경