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language: german
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thumbnail: https://thumb.tildacdn.com/tild3330-3735-4461-b133-656238643834/-/format/webp/deepset_performance.png
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---
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# German BERT
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## Overview
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@ -33,7 +38,7 @@ During training we monitored the loss and evaluated different model checkpoints
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- germEval18Fine: Macro f1 score for multiclass sentiment classification
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- germEval18coarse: Macro f1 score for binary sentiment classification
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- germEval14: Seq f1 score for NER (file names deuutf.*)
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- germEval14: Seq f1 score for NER (file names deuutf.\*)
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- CONLL03: Seq f1 score for NER
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- 10kGNAD: Accuracy for document classification
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