Update README.md

README.md

@@ -13,14 +13,14 @@ probably proofread and complete it, then remove this comment. -->
 
 # t4ai/distilbert-finetuned-t3-qa
 
-This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) SQUaD Dataset (https://www.kaggle.com/datasets/stanfordu/stanford-question-answering-dataset).
 It achieves the following results on the evaluation set:
 - Train Loss: 0.7523
 - Epoch: 2
 
 ## Model description
 
-More information needed
+distilBERT base model fine-tuned for extractive Q&A.  This model achieved an F1 score of 76.28 and EM score of 61.51 against SQUaD test set.  
 
 ## Intended uses & limitations