Update README.md

README.md

@@ -43,7 +43,7 @@ We use the pretrained [`sentence-transformers/all-mpnet-base-v2`](https://huggin
  We use the initial model without modifying its architecture or pre-trained model parameters. 
  However, we reduce the processed sequence length to 384 to reduce the training time of the model. 
  Regarding other hyperparameters, we use the same interaction data batch size of 1024; we use the negative sampling parameter m = 10000.
- We use constant learning rate of 1e-5, and we train the model for five epochs.
+ We use constant learning rate of 1e-5, and we train the model for ten epochs.
 
 ### Dataset