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Benchmarks
Natural Language Understanding on GLUE (val) - Subset (SST-2, QNLI, QQP, MNLI)
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94.61
SST-2 Accuracy
RoLoRA
92.2284
92.8467
93.465
94.0833
Oct 16, 2024
SST-2 Accuracy
QNLI Accuracy
QQP Accuracy
MNLI Accuracy
Average Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
SST-2 Accuracy
QNLI Accuracy
QQP Accuracy
MNLI Accuracy
Average Accuracy
RoLoRA
Backbone=RoBERTa-Large...
2024.10
94.61
89.83
85.15
85.55
88.78
FedTT+
Backbone=RoBERTa-Large...
2024.10
94.5
90.17
86.65
86.28
89.4
FedTT
Backbone=RoBERTa-Large...
2024.10
94.38
90.55
85.47
85.27
88.92
LoRA
Backbone=RoBERTa-Large...
2024.10
93.23
82.57
58.96
76.96
77.93
FFA-LoRA
Backbone=RoBERTa-Large...
2024.10
92.32
85.15
62.79
77.78
79.51
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