Update README.md

README.md

@@ -9,6 +9,31 @@ tags:
 - llava
 - lora
 ---
+<style>
+.img-responsive {
+  width: 50%;
+  height: auto;
+}
+</style>
+
+### Conclusion
+While significantly better at understanding and describing emotions and details in images compared to LLaVA-1.5-7b-hf, the fine-tuned model struggles with recognizing text.
+
+### Train Loss
+![](./adapter-module/training_loss.png)
+
+### Test
+A comparative analysis of emoji in prompts, differents between the original model and its fine-tuned counterpart. </br>
+Original Model:https://huggingface.co/llava-hf/llava-1.5-7b-hf/</br>
+<img src="./images/original-01.JPG" alt="meme01" class="img-responsive">
+<img src="./images/original-02.JPG" alt="meme02" class="img-responsive">
+<img src="./images/original-03.JPG" alt="meme03" class="img-responsive">
+
+
+Fine-tuned Lora Model:https://huggingface.co/REILX/llava-1.5-7b-hf-meme-lora</br>
+<img src="./images/lora-01.JPG" alt="meme01" class="img-responsive">
+<img src="./images/lora-02.JPG" alt="meme02" class="img-responsive">
+<img src="./images/lora-03.JPG" alt="meme03" class="img-responsive">
 
 ### Training hyperparameters
 The following hyperparameters were used during training: