Update README.md

README.md

@@ -6,14 +6,14 @@ language:
 base_model:
 - BSC-LT/MrBERT
 ---
-# MrBERT-gl
+# MrBERT-nos-gl
 
-MrBERT-gl is a domain-adapted encoder model fine-tuned from [BSC-LT/MrBERT](https://huggingface.co/BSC-LT/MrBERT) on a large-scale Galician and Portuguese corpus. It inherits MrBERT's ModernBERT architecture — with efficient long-context modeling and strong bidirectional representations — and extends its capabilities with significantly improved coverage of two closely related Iberian languages that are underrepresented in most multilingual encoders.
+MrBERT-nos-gl is a domain-adapted encoder model fine-tuned from [BSC-LT/MrBERT](https://huggingface.co/BSC-LT/MrBERT) on a large-scale Galician and Portuguese corpus. It inherits MrBERT's ModernBERT architecture — with efficient long-context modeling and strong bidirectional representations — and extends its capabilities with significantly improved coverage of two closely related Iberian languages that are underrepresented in most multilingual encoders.
 Galician (galego) and European/Brazilian Portuguese share substantial lexical and morphological overlap, making joint continued pre-training an effective strategy for mutual reinforcement. MrBERT-gl is designed as a general-purpose encoder for both languages, suitable for tasks such as named entity recognition, text classification, semantic similarity, question answering, and cross-lingual retrieval.
 
 ## Technical Description
 
-MrBERT-gl starts from the MrBERT base checkpoint and continues pre-training with a masked language modelling objective on a combined Galician and Portuguese corpus. The architecture is identical to the base model; only the training regime and data distribution differ.
+MrBERT-nos-gl starts from the MrBERT base checkpoint and continues pre-training with a masked language modelling objective on a combined Galician and Portuguese corpus. The architecture is identical to the base model; only the training regime and data distribution differ.
 
 ### Model Architecture