Update README.md

README.md

@@ -14,13 +14,20 @@ metrics:
 
 ## Model description
 
-This model replicates the "DistilBERT (D)" model from Table 2 of the [DistilBERT paper](https://arxiv.org/pdf/1910.01108.pdf). In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, while a fine-tuned BERT model acts as a teacher for a second step of task-specific distillation.In this version, the following pre-trained models were used:* Student: `distilbert-base-uncased`* Teacher: `maroo93/squad1.1`## Intended uses & limitations
+This model replicates the "DistilBERT (D)" model from Table 2 of the [DistilBERT paper](https://arxiv.org/pdf/1910.01108.pdf). In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, while a fine-tuned BERT model acts as a teacher for a second step of task-specific distillation.In this version, the following pre-trained models were used:
 
-#### How to use
+* Student: `distilbert-base-uncased`
+* Teacher: `maroo93/squad1.1`## Intended uses & limitations
 
 ## Training data
 
-This model was trained on the SQuAD v1.1 dataset which can be obtained from the `datasets` library as follows:```pythonfrom datasets import load_datasetsquad = load_dataset('squad')```
+This model was trained on the SQuAD v1.1 dataset which can be obtained from the `datasets` library as follows:
+
+```python
+from datasets import load_dataset
+squad = load_dataset('squad')
+```
+
 ## Training procedure