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Benchmarks
Part-of-Speech Tagging on POS
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83.56
Accuracy
GPT-Neo
14.5456
32.4628
50.38
68.2972
Nov 15, 2022
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
GPT-Neo
Model Size=20B, k=10
2022.11
83.56
GPT-Neo
Model Size=20B, k=9
2022.11
83.56
GPT-Neo
Model Size=6B, k=10
2022.11
83.13
GPT-Neo
Model Size=20B, k=7
2022.11
82.67
GPT-Neo
Model Size=20B, k=5
2022.11
81.72
Per-Span Majority
2022.11
80.76
GPT-Neo
Model Size=20B, k=3
2022.11
79.08
GPT-Neo
Model Size=20B, k=1
2022.11
70.84
GPT-Neo
Model Size=2.7B, k=10
2022.11
70.36
GPT-Neo
Model Size=1.3B, k=10
2022.11
68.45
GPT-Neo
Model Size=125M, k=10
2022.11
64.35
Majority Label
2022.11
17.75
GPT-Neo
Model Size=20B, k=0
2022.11
17.2
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