Upgraded the sdk_version as suggested from hugging face

README.md

@@ -31,5 +31,4 @@ The effective batch size affects training stability and model quality. The effec
 To get better results, on our domain task, gen Z slang, we can shift our focus from just tweaking the model's settings to actually improving the data it learns from. This is a datacentric aprotche. The problem right now is that standard models are trained on formal, static text, so they often just guess when they encounter real-world slang. By finding and feeding the model fresh, raw datasets that capture these more casual areas. This can help the model performance on this specific task.
 
 ### References
-[1] Unsloth. "LoRA Hyperparameters Guide." Unsloth Documentation, https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide. Accessed 3 Dec. 2025.
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+[1] Unsloth. "LoRA Hyperparameters Guide." Unsloth Documentation, https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide. Accessed 3 Dec. 2025.