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Check out the documentation for more information.
The finetuned XLM-RoBERTa (large-sized model) for Named Entity Recognition
This model was finetuned on the Czech invoice dataset.
Achieved results:
eval_accuracy = 0.9618613
eval_f1 = 0.7825681
eval_precision = 0.7752081
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