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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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5roop commited on
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1 Parent(s): c3c89c0

Added fasttext comparison

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  1. README.md +2 -1
README.md CHANGED
@@ -24,13 +24,14 @@ model_args = {
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  ## Performance
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- The same pipeline was run with two other models and with the same dataset. Accuracy and macro F1 score were recorded for each of the 6 fine-tuning sessions and post festum analyzed.
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  | model | average accuracy | average macro F1|
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  |---|---|---|
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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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  From recorded accuracies and macro F1 scores p-values were also calculated:
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  ## Performance
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+ The same pipeline was run with two other transformer models and `fasttext` for comparison. Accuracy and macro F1 score were recorded for each of the 6 fine-tuning sessions and post festum analyzed.
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  | model | average accuracy | average macro F1|
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  |---|---|---|
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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|0.669|0.659|
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  From recorded accuracies and macro F1 scores p-values were also calculated:
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