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@@ -13,7 +13,7 @@ Note that there is also a model trained on [Universal POS tags (upos)](https://u
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  1) Base model: German LM: [dbmdz/bert-base-german-cased](https://huggingface.co/dbmdz/bert-base-german-cased)
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  2) Continued LM training with [swisscrawl data](https://icosys.ch/swisscrawl)
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  3) Task fine-tuning on the [UD\_German-HDT](https://github.com/UniversalDependencies/UD_German-HDT/tree/master) data set with [character-level noise](https://aclanthology.org/2022.findings-acl.321/)
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- 4) Task fine-tuning on the Swiss German [NOAH-Corpus](https://noe-eva.github.io/NOAH-Corpus/) (train + dev split)
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  - Accuracy on Swiss German NOAH test split: 0.9432
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  - Accuracy on German UD_German-HDT test set after GSW fine-tuning: 0.9826 (vs 0.9828 at step 3 before GSW fine-tuning)
 
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  1) Base model: German LM: [dbmdz/bert-base-german-cased](https://huggingface.co/dbmdz/bert-base-german-cased)
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  2) Continued LM training with [swisscrawl data](https://icosys.ch/swisscrawl)
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  3) Task fine-tuning on the [UD\_German-HDT](https://github.com/UniversalDependencies/UD_German-HDT/tree/master) data set with [character-level noise](https://aclanthology.org/2022.findings-acl.321/)
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+ 4) Task fine-tuning on the Swiss German [NOAH-Corpus](https://noe-eva.github.io/NOAH-Corpus/) (train + dev split) & dev split of [UD\_German-HDT](https://github.com/UniversalDependencies/UD_German-HDT/tree/master)
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  - Accuracy on Swiss German NOAH test split: 0.9432
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  - Accuracy on German UD_German-HDT test set after GSW fine-tuning: 0.9826 (vs 0.9828 at step 3 before GSW fine-tuning)