new stuff in readme.md

readme.md

@@ -4,11 +4,13 @@ With a few tricks, we have been able to fine-tune a competitive CLIP-italian mod
 
 In building this project we kept in mind the following things:
 
-+ **Novel Contributions**: we tried to bring something new to the table
-+ **Scientific Validity**: models can look very cool, but external validation is important to assess the real impact
-+ **Broader Outlook**: we always considered which are the possible usages for this model 
++ **Novel Contributions**: we tried to bring something new to the table;
++ **Scientific Validity**: models can look very cool, but external validation is important to assess the real impact;
++ **Broader Outlook**: we always considered which are the possible usages for this model.
 
-We put our hearts and souls in this project during this week and we hope you will like it :heart:
+We put our **hearts** and **souls** in this project during this week! Not only we worked on a cool project, but we were
+able to meet new people and make new friends that worked together for a common goal! 
+Thank you for this amazing opportunity, we hope you will like our project :heart:.
 
 # Novel Contributions
 
@@ -50,15 +52,16 @@ The standard AdamW didn't seem enough to train the model...
 
 # Scientific Validity
 
+## Quantitative Evaluation
 Those images are definitely cool and interesting, but a model is nothing without validation.
 To better understand how well our clip-italian model works we run an experimental evaluation. Since this is the first clip-based model in Italian, we used the multilingual CLIP model as a comparison baseline. 
 
-## mCLIP
+### mCLIP
 
-## Experiments Replication
+### Experiments Replication
 We provide two colab notebooks to replicate both experiments.
 
-## Tasks
+### Tasks
 
 We selected two different tasks: 
 + image-retrieval 
@@ -83,6 +86,8 @@ We selected two different tasks:
 | Accuracy@10     |              |       |
 | Accuracy@100    |  81.08       | 67.11 |
 
+## Qualitative Evaluation
+
 # Broader Outlook