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Update README.md

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@@ -47,6 +47,20 @@ Improved version to be uploaded soon.
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  Final Train Loss: **4.69**
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  Final Eval Loss: **4.40**
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  ## Example Usage
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  ```python
@@ -63,15 +77,3 @@ outputs = model.generate(**inputs)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  '''
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- ## Notes
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-
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- Trained on subset of OpenCodeReasoning due to Colab memory limits
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-
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- Use PeftModel with t5-small base
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-
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- Metrics used: Loss (BLEU skipped due to output structure)
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-
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- ## License
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-
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- Apache 2.0
 
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  Final Train Loss: **4.69**
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  Final Eval Loss: **4.40**
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+
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+ ## Notes
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+
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+ Trained on subset of OpenCodeReasoning due to Colab memory limits
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+
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+ Use PeftModel with t5-small base
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+
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+ Metrics used: Loss (BLEU skipped due to output structure)
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+
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+
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+ ## License
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+ Apache 2.0
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+
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+
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  ## Example Usage
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  ```python
 
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  '''
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