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sloberta-frenk-hate

Text Classification
Transformers
PyTorch
Safetensors
Slovenian
camembert
hate-speech
Inference Endpoints
Model card Files Community
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Updated model card

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  1. README.md +2 -2
README.md CHANGED
@@ -29,7 +29,7 @@ From recorded accuracies and macro F1 scores p-values were also calculated:
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  | test | accuracy p-value | macro F1 p-value|
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  | --- | --- | --- |
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  |Wilcoxon|0.00781|0.00781|
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- |Mann Whithey|0.00163|0.00108|
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  |Student t-test |0.000101|3.95e-05|
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  `Sloberta` vs `xlm-roberta-base`:
@@ -37,5 +37,5 @@ From recorded accuracies and macro F1 scores p-values were also calculated:
37
  | test | accuracy p-value | macro F1 p-value|
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  | --- | --- | --- |
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  |Wilcoxon|0.00781|0.00781|
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- |Mann Whithey|0.00108|0.00108|
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  |Student t-test |9.46e-11|6.94e-11|
 
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  | test | accuracy p-value | macro F1 p-value|
30
  | --- | --- | --- |
31
  |Wilcoxon|0.00781|0.00781|
32
+ |Mann Whithney U test|0.00163|0.00108|
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  |Student t-test |0.000101|3.95e-05|
34
 
35
  `Sloberta` vs `xlm-roberta-base`:
 
37
  | test | accuracy p-value | macro F1 p-value|
38
  | --- | --- | --- |
39
  |Wilcoxon|0.00781|0.00781|
40
+ |Mann Whithney U test|0.00108|0.00108|
41
  |Student t-test |9.46e-11|6.94e-11|