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new stuff in readme.md

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