# High Precision F1 Score

This model is a fine-tuned Spanish negation scope detection model based on ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT

A fine-tuned model based on BioBERT for the biomedical domain, achieving an F1 score of 0.8621 on specific tasks

This is a Spanish biomedical model based on RoBERTa, specifically fine-tuned for named entity recognition tasks on the PharmaCoNER dataset.

XLM-RoBERTa-base is a multilingual pre-trained model based on the RoBERTa architecture, supporting multiple languages including Hindi and English.

A Transformer-based Persian language understanding model, with a reconstructed vocabulary and fine-tuned on a new Persian corpus, suitable for various Persian NLP tasks.

A Spanish fake news detection model fine-tuned based on the RoBERTa-large architecture, achieving state-of-the-art performance on the FakeDeS dataset