Update README.md

README.md

@@ -29,7 +29,7 @@ DistilBERT is a transformers model, smaller and faster than BERT, which was pret
 
 ## Intended uses & limitations
 
-More information needed
+You can use this model for sentence classification task only as it is fine-tuned on imdb dataset. If you want to try it for mask filling task, it won't give you good results.
 
 ## Training and evaluation data
 
@@ -37,6 +37,7 @@ More information needed
 
 ## Training procedure
 
+- Preprocessing function was created to tokenize the text and truncate the sequences longer than DistilBERT max seq length. Datasets [map](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.map) function was used to apply the preprocessing func over the entire dataset.
 ### Training hyperparameters
 
 The following hyperparameters were used during training: