Update README.md

README.md

@@ -51,10 +51,11 @@ classifier(sequence_to_classify, candidate_labels, hypothesis_template=hypothesi
 
 ## Training 
 This model was pre-trained on a set of 100 languages and follwed further training on 198M multilingual tweets as described in the original paper (https://arxiv.org/abs/2104.12250). Further it was trained on the training set of XNLI dataset in {insert target language} which is a machine translated version of the MNLI dataset. It was trained on 3 epochs and the following specifications
-	- learning rate 5e-5
-	- batch size 32
-	- max sequence length 128
-on one GPU (NVIDIA GeForce RTX 3090) resulting in a training time of 1h 47 mins
+- learning rate:    5e-5
+- batch size:     32
+- max sequence:   length 128
+
+on one GPU (NVIDIA GeForce RTX 3090) resulting in a training time of 1h 47 mins.
 	
 
 ## Evaluation