Update README.md

README.md

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 Karnold-Walmer is a text2text model based on [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base), specifically designed to decode the 'keywords' column of `pszemraj/scientific_lay_summarisation-plos-norm`.
 
-Karnold-Walmer focuses on extracting relevant keywords from the input text, making it a powerful tool for keyword identification and text classification.
+Karnold-Walmer focuses on extracting relevant keywords from the input text, making it a powerful tool for keyword identification and text classification. It was fine-tuned on & supports text input of up to 16,384 tokens.
 
 It achieves the following results on the evaluation set:
 - Loss: 0.8844