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introduction.md
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@@ -72,7 +72,7 @@ The same is true for the BERT model we use. Thus, we decided to do a first train
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the deeper layer to adapt to the new setting. Eventually, we run a new training, by fine-tuning al the components. This technique allowed us to
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reach a much better validation loss.
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<img src="https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/clip-italian.png" alt="drawing" width="
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# Scientific Validity
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the deeper layer to adapt to the new setting. Eventually, we run a new training, by fine-tuning al the components. This technique allowed us to
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reach a much better validation loss.
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<img src="https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/clip-italian.png" alt="drawing" width="600"/>
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# Scientific Validity
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static/img/cavallo_nero.png
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static/img/due_cavalli_marroni.png
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static/img/due_gatti.png
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static/img/gatto_su_sedia.png
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