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Benchmarks
Multi-label Text Classification on Spanish dataset
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56.44
F-Macro
JSPCL
38.5104
43.1652
47.82
52.4748
Dec 1, 2022
F-Macro
F-Micro
JS Divergence
Updated 4d ago
Evaluation Results
Method
Method
Links
F-Macro
F-Micro
JS Divergence
JSPCL
Type=ProCL type
2022.12
56.44
64.16
0.5331
SLCL
2022.12
56
63.56
0.5269
SCL
Type=Strict standard loss
2022.12
55.88
63.7
0.5352
ICL
Sampling=In-sample
2022.12
55.82
63.46
0.5266
JSCL
Type=Loose standard loss
2022.12
55.62
63.45
0.5294
SpanEmo
2022.12
55.49
63.34
0.5268
BERTbase
Backbone=BERT
2022.12
47.4
59.6
0.487
ELIRF
2022.12
44
53.5
0.458
MILAB
2022.12
40.7
55.8
0.469
Tw-StAR
2022.12
39.2
52
0.438
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