This model is a fine-tuned version of
xlm-roberta-base.
It achieves the following results on the evaluation set:
This model is a fine-tuned version of xlm-roberta-base on the French subset of the PAN-X dataset for Named Entity Recognition (NER). The model has been fine-tuned to perform token classification tasks and is evaluated on its performance in identifying named entities in French text.
Named Entity Recognition (NER) tasks specifically for French.
Token classification tasks involving French text.
The model's performance is optimized for French and may not generalize well to other languages without further fine-tuning.
The model's predictions are based on the data it was trained on and may not handle out-of-domain data as effectively.
The model was fine-tuned on the French subset of the PAN-X dataset, which includes labeled examples of named entities in French text. The evaluation data is a separate portion of the same dataset, used to assess the model's performance.
