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@@ -58,6 +58,18 @@ pred = torch.argmax(outputs.logits, dim=1).item()
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  print(pred) # Map this index back to label if needed
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
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  ## 🛠️ Training Details
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  print(pred) # Map this index back to label if needed
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  ```
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+ ## 📦 Label Mapping
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+
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+ The model outputs a numerical label corresponding to a prompt category. Below is the mapping between label IDs and their respective categories:
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+ 0: brainstorming
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+ 1: classification
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+ 2: closed_qa
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+ 3: creative_writing
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+ 4: general_qa
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+ 5: information_extraction
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+ 6: open_qa
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+ 7: summarization
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  ## 🛠️ Training Details
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