Update README.md

README.md

@@ -16,9 +16,8 @@ This model fine-tunes DistilBERT for a multi-class emotion classification task.
 ## Training and Evaluation
 - Training Dataset: dair-ai/emotion (16,000 examples)
 - Validation Dataset: dair-ai/emotion (2,000 examples)
-- Validation Accuracy: [Your Results]
-- Test Accuracy: [Your Results]
-- Training Time: [Your Time]
+- Validation Accuracy: 96.6 %
+- Training Time: 18,078.18s (5h 1m 18s)
 
 ## Hyperparameters
 - Learning Rate: 5e-5