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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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