Text Classification On Hatexplain 1
评估指标
Accuracy (2 classes)
F1 Macro
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy (2 classes) | F1 Macro | Paper Title | Repository |
|---|---|---|---|---|
| XLNet | 0.8160 | 0.8156 | Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs | - |
| Space-XLNet | 0.8798 | 0.8797 | 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 | - |
| Space-BERT | 0.8110 | 0.8108 | Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs | - |
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