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# roberta-tagalog-profanity-classifier
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This model is a fine-tuned version of [jcblaise/roberta-tagalog-base](https://huggingface.co/jcblaise/roberta-tagalog-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3019
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- Accuracy: 0.8898
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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# roberta-tagalog-profanity-classifier
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This model is a fine-tuned version of [jcblaise/roberta-tagalog-base](https://huggingface.co/jcblaise/roberta-tagalog-base) on [mginoben/tagalog-profanity-dataset](https://huggingface.co/datasets/mginoben/tagalog-profanity-dataset) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3019
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- Accuracy: 0.8898
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## Model description
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The Model classifies tagalog texts that contains profanities as either Abusive or Non-Abusive.
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It only classifies texts with the following profanities:
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- bobo
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- bwiset
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- gago
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- kupal
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- pakshet
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- pakyu
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- pucha
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- punyeta
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- puta
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- putangina
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- tanga
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- tangina
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- tarantado
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- ulol
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## Intended uses & limitations
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For content moderation accross different social medias
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## Training and evaluation data
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