Update README.md

README.md

@@ -45,7 +45,7 @@ The DocuMint model can be used directly to generate high-quality docstrings for
 
 ### Fine-tuning Data
 
-The fine-tuning data consists of 100,000 Python functions and their docstrings extracted from popular open-source repositories in the FLOSS ecosystem. Repositories were filtered based on metrics such as number of contributors (> 50), commits (> 5k), stars (> 35k), and forks (> 10k) to focus on well-established and actively maintained projects. 
+The fine-tuning data consists of 100,000 Python functions and their docstrings extracted from popular open-source repositories in the FOSS ecosystem. Repositories were filtered based on metrics such as number of contributors (> 50), commits (> 5k), stars (> 35k), and forks (> 10k) to focus on well-established and actively maintained projects. 
 
 #### Fine-tuning Hyperparameters
 
@@ -88,7 +88,7 @@ fine_tuned_model = PeftModel.from_pretrained(model, "documint/CodeGemma2B-fine-t
 
 #### Hardware
 
-Fine-tuning was performed using an Intel 12900K CPU, an Nvidia RTX-3090 GPU, and 64 GB RAM. Total fine-tuning time was 48 GPU hours.
+Fine-tuning was performed using an Intel 12900K CPU, a Nvidia RTX-3090 GPU, and 64 GB RAM. Total fine-tuning time was 48 GPU hours.
 
 
 ## Citation