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Benchmarks
Winograd Schema Challenge on XWINO
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0.642
Accuracy
XGLM7.5B
0.538
0.565
0.592
0.619
Apr 15, 2022
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
XGLM7.5B
k-shot=4
2022.04
0.642
XGLM7.5B
k-shot=1
2022.04
0.637
mGPT13B
k-shot=4
2022.04
0.618
mGPT13B
k-shot=1
2022.04
0.61
mGPT13B
k-shot=0
2022.04
0.593
mGPT13B
k-shot=16
2022.04
0.592
XGLM7.5B
k-shot=0
2022.04
0.592
XGLM1.7B
k-shot=1
2022.04
0.58
XGLM1.7B
k-shot=4
2022.04
0.579
mGPT1.3B
k-shot=1
2022.04
0.57
mGPT1.3B
k-shot=4
2022.04
0.568
mGPT1.3B
k-shot=0
2022.04
0.562
mGPT1.3B
k-shot=16
2022.04
0.545
XGLM1.7B
k-shot=0
2022.04
0.542
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