Catalan BERTa v2 (roberta base ca v2) finetuned for Named Entity Recognition. Table of Contents Click to expand Model description Intended uses and limitations How to use Limitations and bias Training Training data Training procedure Evaluation Variable and metrics Evaluation results Additional information Author Contact information Copyright Licensing information Funding Citing information Disclaimer Model description The roberta base ca v2 cased ner is a Named Entity Recognition (NER) model for the Catalan language fine tuned from the roberta base ca v2 model, a RoBERTa base model pre trained on a medium size corpus collected from publicly available corpora and crawlers (check the roberta base ca v2 model card for more details). Intended uses and limitations roberta base ca v2 cased ner model can be used to recognize Named Entities in the provided text. The model is limited by its training dataset and may not generalize well for all use cases. How to use Here is how to use this model: Limitations and bias At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora hav…
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