Update README.md

README.md

@@ -437,7 +437,7 @@ Trained with a **Matryoshka loss**, allowing embeddings to be truncated with min
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-- **Maximum Sequence Length:** 512 tokens
+- **Maximum Sequence Length:** 256 tokens
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
 - **Language:** vietnamese
@@ -453,7 +453,7 @@ Trained with a **Matryoshka loss**, allowing embeddings to be truncated with min
 
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: RobertaModel 
+  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: RobertaModel 
   (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
 )
 ```