Update README.me

README.md

@@ -12,7 +12,7 @@ probably proofread and complete it, then remove this comment. -->
 
 # athrado/bert-finetuned-nli
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [sick](https://huggingface.co/datasets/sick) dataset for natural language inference.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0671
 - Train Accuracy: 0.9806
@@ -22,15 +22,16 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Example model for educational purposes: fine-tuning the bert-base-uncased model for natural language inference. 
 
 ## Intended uses & limitations
 
-More information needed
+- Learning about transformer model and fine-tuning
+- Natural language inference fine-tuned on small dataset
 
 ## Training and evaluation data
 
-More information needed
+The model is evaluated using the sick validation. We report accuracy, and in addition we computed a weighted F1-score of 0.842.
 
 ## Training procedure