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sloberta-frenk-hate

Text Classification Transformers PyTorch Safetensors Slovenian camembert hate-speech Inference Endpoints
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Updated fasttext results

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@@ -31,7 +31,7 @@ The same pipeline was run with two other transformer models and `fasttext` for c
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  |sloberta-frenk-hate|0.7785|0.7764|
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  |EMBEDDIA/crosloengual-bert |0.7616|0.7585|
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  |xlm-roberta-base |0.686|0.6827|
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- |fasttext|0.721|0.711|
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  From recorded accuracies and macro F1 scores p-values were also calculated:
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  |sloberta-frenk-hate|0.7785|0.7764|
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  |EMBEDDIA/crosloengual-bert |0.7616|0.7585|
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  |xlm-roberta-base |0.686|0.6827|
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+ |fasttext|0.709 |0.701 |
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  From recorded accuracies and macro F1 scores p-values were also calculated:
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