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  # RobBERTBestModelOct13
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- This model is a fine-tuned version of [Tommert25/RobBERTBestModelOct11](https://huggingface.co/Tommert25/RobBERTBestModelOct11) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.3695
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  - eval_precisions: 0.8647
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  ## Training and evaluation data
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- More information needed
 
 
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  ## Training procedure
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  # RobBERTBestModelOct13
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+ This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base (https://huggingface.co/ pdelobelle/robbert-v2-dutch-base) on the annotated part of the Moroccorp.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.3695
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  - eval_precisions: 0.8647
 
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  ## Training and evaluation data
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+ Both training and evalutation data are sampled from the Moroccorp, a dataset that consists of chat conversation from an internet forum for Moroccan-Dutch people called maroc.nl
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+ The dataset is labeled on word-level with labels for the three most common languages in the dataset: Dutch (NL), English (ENG), Moroccan Languages (MOR).
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+ Additionally, labels for Named entities (NAME), language independent utterances (NON) and words from other languages (OTH) are used.
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  ## Training procedure
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