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Question Answering NLI on QNLI GLUE (test)
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0.903
Accuracy
BERT
0.88012
0.88606
0.892
0.89794
Mar 16, 2022
Accuracy
Speedup
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Speedup
BERT
Backbone=BERT-base-unc...
2022.03
0.903
1
PoWER-BERT
Backbone=BERT-base-unc...
2022.03
0.897
1.23
AdapLeR
Backbone=BERT-base-unc...
2022.03
0.893
1.47
TR-BERT
Backbone=BERT-base-unc...
2022.03
0.89
1.09
DistilBERT
Backbone=BERT-base-unc...
2022.03
0.881
2
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