Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 - playstore
 - multi-class 
 - classification
-liscence: "mit"
+license: "mit"
 inference: true
 ---
 
@@ -26,7 +26,7 @@ Trained on 9000 samples of English App Descriptions and associated categories of
 
 ## Fine-tuning
 
-The model was fine-tuned for 5 epochs with a batch size of 16, a learning rate of 2e-05, and a maximum sequence length of 512. Since this was a classification task, the model was trained with a cross-entropy loss function. The best evaluation f1 score achieved by the model was 0.9034534096919489, found after 4 epochs. The accuracy of the model on the test set was 90.33.  
+The model was fine-tuned for 5 epochs with a batch size of 16, a learning rate of 2e-05, and a maximum sequence length of 512. Since this was a classification task, the model was trained with a cross-entropy loss function. The best evaluation f1 score achieved by the model was 0.9034534096919489, found after 4 epochs. The accuracy of the model on the test set was 0.9033.  
 
 ## How to use