Update README.md

README.md

@@ -22,8 +22,8 @@ model-index:
 
 **Model ID:** `Chrode/H3BERTa`  
 **Architecture:** RoBERTa-base (encoder-only, Masked Language Model)  
-**Sequence type:** Heavy chain CDR-H3 regions
-**Training:** Pretrained on >17M curated CDR-H3 sequences from healthy donor repertoires (OAS, IgG/IgA sources)  
+**Sequence type:** Heavy chain CDR-H3 regions  
+**Training:** Pretrained on >17M curated CDR-H3 sequences from healthy donor repertoires (OAS, IgG/IgA sources)    
 **Max sequence length:** 100 amino acids  
 **Vocabulary:** 25 tokens (20 standard amino acids + special tokens)  
 **Mask token:** `[MASK]`
@@ -129,7 +129,7 @@ If you use this model, please cite:
 
 Rodella C. et al.
 H3BERTa: A CDR-H3-specific language model for antibody repertoire analysis.
-Patterns (2025) — under review.
+- under review.
 
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