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This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased).
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It is trained to classify german text into the classes "vulgar" speech and "non-vulgar" speech.
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The data set is a collection of other labeled sources in german. For an overview, see the github repository here:
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4221
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- Train Accuracy: 0.8025
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- Epoch: 2
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## Training procedure
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### Training hyperparameters
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This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased).
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It is trained to classify german text into the classes "vulgar" speech and "non-vulgar" speech.
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The data set is a collection of other labeled sources in german. For an overview, see the github repository here: https://github.com/NKDataConv/KIZervus
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Both data and training procedure are documented in the GitHub repo. Your are welcome to contribute.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4221
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- Train Accuracy: 0.8025
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- Epoch: 2
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## Training procedure
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For details, see the repo and documentation here: https://github.com/NKDataConv/KIZervus
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### Training hyperparameters
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