Safetensors
German
bert
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add "link to paper coming soon" to README

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@@ -16,7 +16,7 @@ For each document, we calculated a combined educational quality score by taking
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  We trained Aleph-Alpha-GermanWeb-Quality-Classifier-BERT using up to 75,000 documents from each class. We used 95% of this dataset for training to predict the one to five scores. The model achieved an overall accuracy of 42% and a macro-average accuracy of 46% when evaluated on the remaining 5% of the data, which served as the validation set.
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- Further details, including our LLM judging prompt, can be found in our [accompanying paper](arXiv link).
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  ## Example Snippet
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  We trained Aleph-Alpha-GermanWeb-Quality-Classifier-BERT using up to 75,000 documents from each class. We used 95% of this dataset for training to predict the one to five scores. The model achieved an overall accuracy of 42% and a macro-average accuracy of 46% when evaluated on the remaining 5% of the data, which served as the validation set.
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+ Further details, including our LLM judging prompt, can be found in our accompanying paper (link to paper coming soon).
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  ## Example Snippet
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