Update README.md

README.md

@@ -38,6 +38,20 @@ Feel free to experiment with the interface, input different reviews, and observe
 
 For questions/issues, open an issue in this repository.
 
+**Model Achievements**
+
+- Gated Recurrent Unit (GRU): Achieved an accuracy of 94.8%.
+- Long Short-Term Memory (LSTM): Implemented an architecture with an accuracy of 93.2%.
+- BERT Base Model Fine-Tuning: Achieved an accuracy of 96.4% after finetuning.
+
+**Training Details**
+
+All experiments were performed on a single NVIDIA RTX 2070 GPU. The training times are as follows:
+
+- GRU Model: Trained for 10 epochs, took approximately 10+ hours.
+- LSTM Model: Trained for 10 epochs, took around 10+ hours.
+- BERT Base Model Fine-Tuning: Trained for 10 epochs, took around 10+ hours.
+
 **Acknowledgments:**
 
 The sentiment analysis model uses BERT architecture from Hugging Face Transformers. The Amazon Fine Food Reviews dataset is for training. Gradio is used for the interactive interface.