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Benchmarks
Natural Language Understanding on GLUE (val) - Subset (SST-2, MRPC, RTE)
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92.43
SST-2 Accuracy
Uncased baseline
91.754
91.9295
92.105
92.2805
Apr 11, 2026
SST-2 Accuracy
MRPC Accuracy
MRPC F1 Score
RTE Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
SST-2 Accuracy
MRPC Accuracy
MRPC F1 Score
RTE Accuracy
Uncased baseline
Backbone=BERT, Non-lin...
2026.04
92.43
87.75
91.17
72.56
Uncased baseline
Non-linearity Type=Exa...
2026.04
92.43
87.75
91.17
72.56
Fine-tuned teacher
Backbone=BERT, Non-lin...
2026.04
92.13
87.01
90.82
69.43
Fine-tuned teacher
Non-linearity Type=Sur...
2026.04
92.13
87.01
90.82
69.43
EncFormer
Backbone=BERT, Non-lin...
2026.04
91.78
86.76
90.34
70.03
EncFormer
Execution Domain=Encry...
2026.04
91.78
86.76
90.34
70.03
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