Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Natural Language Understanding on GLUE (SST-2, CoLA, MRPC, QNLI Subset)
Loading...
92.55
SST-2 Accuracy
PyTorch
79.9036
83.1868
86.47
89.7532
Jun 8, 2026
SST-2 Accuracy
CoLA Accuracy
MRPC Accuracy
QNLI Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
SST-2 Accuracy
CoLA Accuracy
MRPC Accuracy
QNLI Accuracy
PyTorch
Model=BERT-large, Arit...
2026.06
92.55
85.52
87.74
92.49
FuseFSS
Model=BERT-large, Arit...
2026.06
92.5
85.57
87.5
92.66
PyTorch
Model=BERT-base, Arith...
2026.06
89.33
83.43
88.73
91.55
FuseFSS
Model=BERT-base, Arith...
2026.06
89.33
83.45
88.48
91.67
PyTorch
Model=BERT-tiny, Arith...
2026.06
80.39
-
76.37
85.69
FuseFSS
Model=BERT-tiny, Arith...
2026.06
80.39
-
76.96
86.23
Feedback
Search any
task
Search any
task
