Update README.md

README.md

@@ -33,7 +33,7 @@ This model is a fine-tuned version of [bert-tiny](prajjwal1/bert-tiny) on [amazo
 ## Model description
 
 TinyBERT is 7.5 times smaller and 9.4 times faster on inference compared to its teacher BERT model (while DistilBERT is 40% smaller and 1.6 times faster than BERT). 
-Compared to the [distilbert model](https://huggingface.co/AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon) which was trained on 10% of the dataset, this model was trained on the full dataset (3.6M of samples).
+This model was trained using the entire dataset (3.6M of samples) in constrast to the [distilbert model](https://huggingface.co/AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon) which was trained on only 10% of the dataset.
 
 ## Intended uses & limitations
 While this model may not be as accurate as the distilbert model, its performance should be enough for most use cases.