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Models/Space-BERT

Space-BERT

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Text ClassificationonSocial media attributions of YouTube comments
Accuracy (2 classes)· 2024-01-30
0.8309
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonSocial media attributions of YouTube comments
F1 Macro· 2024-01-30
0.8006
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonHateXplain
Accuracy (2 classes)· 2024-01-30
0.811
best: 0.8798 (Space-XLNet)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonHateXplain
F1 Macro· 2024-01-30
0.8108
best: 0.8797 (Space-XLNet)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638

Methodology4 results

ClassificationonSocial media attributions of YouTube comments
Accuracy (2 classes)· 2024-01-30
0.8309
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
ClassificationonSocial media attributions of YouTube comments
F1 Macro· 2024-01-30
0.8006
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
ClassificationonHateXplain
Accuracy (2 classes)· 2024-01-30
0.811
best: 0.8798 (Space-XLNet)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
ClassificationonHateXplain
F1 Macro· 2024-01-30
0.8108
best: 0.8797 (Space-XLNet)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638