Semantic Textual Similarity on CDSC-R (test)
0.8545Spearman's CorrelationDiffAug + MixSP
Evaluation Results
| Method | Links | |
|---|---|---|
| DiffAug + MixSPEncoder Architecture=BERT-Base, Base Method=DiffAug, Training Strategy=MixSP2024.06 | 0.8545 | |
| SimCSE + MixSPEncoder Architecture=BERT-Base, Base Method=SimCSE, Training Strategy=MixSP2024.06 | 0.8528 | |
| DiffAug + MoEEncoder Architecture=BERT-Base, Base Method=DiffAug, Training Strategy=MoE2024.06 | 0.8471 | |
| SBERT + MixSPEncoder Architecture=BERT-Base, Base Method=SBERT, Training Strategy=MixSP2024.06 | 0.8415 | |
| SBERT + MoEEncoder Architecture=BERT-Base, Base Method=SBERT, Training Strategy=MoE2024.06 | 0.8402 | |
| SimCSE + MoEEncoder Architecture=BERT-Base, Base Method=SimCSE, Training Strategy=MoE2024.06 | 0.8334 | |
| DiffAug + MixSPEncoder Architecture=RoBERTa-Base, Base Method=DiffAug, Training Strategy=MixSP2024.06 | 0.8179 | |
| DiffAug + MoEEncoder Architecture=RoBERTa-Base, Base Method=DiffAug, Training Strategy=MoE2024.06 | 0.8133 | |
| SBERT + MixSPEncoder Architecture=RoBERTa-Base, Base Method=SBERT, Training Strategy=MixSP2024.06 | 0.8121 | |
| SimCSE + MixSPEncoder Architecture=RoBERTa-Base, Base Method=SimCSE, Training Strategy=MixSP2024.06 | 0.8041 | |
| SimCSE + MoEEncoder Architecture=RoBERTa-Base, Base Method=SimCSE, Training Strategy=MoE2024.06 | 0.8033 | |
| SBERT + MoEEncoder Architecture=RoBERTa-Base, Base Method=SBERT, Training Strategy=MoE2024.06 | 0.7988 | |
| SimCSE + FTEncoder Architecture=RoBERTa-Base, Base Method=SimCSE, Training Strategy=FT2024.06 | 0.7169 | |
| DiffAug + FTEncoder Architecture=RoBERTa-Base, Base Method=DiffAug, Training Strategy=FT2024.06 | 0.7066 | |
| SimCSEEncoder Architecture=RoBERTa-Base, Base Method=SimCSE, Training Strategy=Base2024.06 | 0.7064 | |
| SimCSEEncoder Architecture=BERT-Base, Base Method=SimCSE, Training Strategy=Base2024.06 | 0.7063 | |
| SBERTEncoder Architecture=RoBERTa-Base, Base Method=SBERT, Training Strategy=Base2024.06 | 0.7057 | |
| DiffAug + FTEncoder Architecture=BERT-Base, Base Method=DiffAug, Training Strategy=FT2024.06 | 0.7025 | |
| SimCSE + FTEncoder Architecture=BERT-Base, Base Method=SimCSE, Training Strategy=FT2024.06 | 0.6953 | |
| DiffAugEncoder Architecture=RoBERTa-Base, Base Method=DiffAug, Training Strategy=Base2024.06 | 0.6465 | |
| SBERTEncoder Architecture=BERT-Base, Base Method=SBERT, Training Strategy=Base2024.06 | 0.6353 | |
| DiffAugEncoder Architecture=BERT-Base, Base Method=DiffAug, Training Strategy=Base2024.06 | 0.6261 |