Update README.md

README.md

@@ -118,7 +118,7 @@ language:
 ## Model description
 
 The multilingual version of **affilgood-NER-multilingual** is a Named Entity Recognition (NER) model for identifying named entities in raw affiliation strings from scientific papers and projects,
-fine-tuned from the [AffilRoberta](https://huggingface.co/SIRIS-Lab/affilgood-affilroberta) model, a [XLM-RoBERTa](https://arxiv.org/abs/1911.02116) base model futher pre-trained for MLM task on a medium-size corpus of raw affiliation stirngs collected from OpenAlex.
+fine-tuned from the [AffilXLM](https://huggingface.co/SIRIS-Lab/affilgood-affilxlm) model, a [XLM-RoBERTa](https://arxiv.org/abs/1911.02116) base model futher pre-trained for MLM task on a medium-size corpus of raw affiliation stirngs collected from OpenAlex.
 
 It has been trained with a dataset that contains 7 main types of entities from multilingual raw affiliation strings texts, with  5,266 texts.