Update README.md

README.md

@@ -33,13 +33,13 @@ GPT-2Geo is a powerful language model tailored for the Georgian language, built
 - **Time Consumed:** 49 minutes
 
 ### Training Progress:
-The GPT-2Geo model underwent training in a high-performance environment utilizing the Nvidia T4 GPU with 15GB of dedicated memory. This powerful hardware met the minimum model memory requirement of 13.5GB, ensuring optimal performance during the training process.
+The GPT-2Geo model underwent training in a high-performance environment utilizing the **Nvidia T4 GPU** with **15GB** of dedicated memory. This powerful hardware met the minimum model memory requirement of **13.5GB**, ensuring optimal performance during the training process.
 
-The training configuration included 20 epochs, allowing the model to iteratively learn from the dataset. The entire training procedure was completed in a time-efficient manner, consuming approximately 49 minutes.
+The training configuration included **20 epochs**, allowing the model to iteratively learn from the dataset. The entire training procedure was completed in a time-efficient manner, consuming approximately **49 minutes**.
 
 For detailed insights into the model's performance, refer to the training logs, which capture key metrics such as validation loss over epochs. This information provides users with a comprehensive understanding of the training environment, configuration, and progress.
 
-Ensure that your GPU environment is correctly configured to harness the full potential of the available hardware during the training phase.
+Ensure that your GPU environment is correctly configured to harness the full potential of the available hardware during the training phase. **Before start training process it needs to preprocess text data and it will added in future**
 
 ## Example Usage