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@@ -46,7 +46,18 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
 
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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  ## Model description
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+ This is the resuls of fine-tuning a distilbert-base-uncased trained on a NVIDIA GeForce GTX 1650, using a WSL with 7 gb of ram on windows 11.
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+ The fine-tuning was obtained by following the book **Natural Language Processing with Tranformers: Building Languaje Applications with Hugging Fabe, By Lewis Tunstall, Leandro von Werra & Thomas Wolf**
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+ Labels are associated to:
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+ 1. *LABEL_0* is **sadness**
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+ 2. *LABEL_1* is **joy**
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+ 3. *LABEL_2* is **love**
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+ 4. *LABEL_3* is **anger**
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+ 5. *LABEL_4* is **fear**
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+ 6. *LABEL_5* is **surprise**
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  ## Intended uses & limitations
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