Update README.md

README.md

@@ -42,6 +42,8 @@ The small dataset size is intentional, as the focus is on few-shot learning rath
     - Max Input Length: 512 tokens
     - Max Output Length: 64 tokens
 
+##### Full-Shot learning model- For a more general-purpose summarization model, check out the full model trained on the entire XSUM dataset: [fulltrain-xsum-bart](https://huggingface.co/bhargavis/fulltrain-xsum-bart).
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 ### Performance
 Due to the few-shot nature of this model, its performance is not directly comparable to models trained on the full XSUM dataset. However, it demonstrates the potential of few-shot learning for summarization tasks. Key metrics on the validation set (50 samples) include:
 
@@ -87,9 +89,6 @@ print(summary[0]["summary_text"])
 - The model is fine-tuned on BBC articles from the XSUM dataset. Its performance may vary on text from other domains.
 - The model may overfit to the training data due to the small dataset size.
 
-##### Full-Shot learning model- For a more general-purpose summarization model, check out the full model trained on the entire XSUM dataset: [fulltrain-xsum-bart](https://huggingface.co/bhargavis/fulltrain-xsum-bart).
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 ### Citation
 If you use this model in your research please cite it as follows: