Update README.md

README.md

@@ -72,12 +72,12 @@ Data sources summary:
 - Others: We scrapped some selected website data, used open-source data, and used some other data sources
 
 
-## Benchmarks \- Bangla Text
+## Benchmarks
 
 In this section, we report the results for __titulm-gemma-2-2b-v1.0__ models on standard automatic benchmarks. For all these evaluations, we used [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) evaluations library. 
 
 ### Evaluation Datasets
-We evaluated our pretrained models on both Bangla and English benchmark datasets. Although the model is trained on Bangla data, its English capability is also evaluated on English benchmark datasets. The evaluation datasets are as follows:
+We evaluated our pre-trained models on both Bangla and English benchmark datasets. Although the model is trained on Bangla data, its English capability is also evaluated on English benchmark datasets. The evaluation datasets are as follows:
 
 #### Bangla Benchmark datasets
 We evaluated the models on the following datasets: