Update README.md

README.md

@@ -50,11 +50,11 @@ result = classifier(text)
 The model's training data includes a proprietary dataset designed for offensive/hate speech detection. This dataset comprises a diverse collection of text samples, categorized into "non-offensive" and "offensive" classes. The training process aimed to equip the model with the ability to distinguish between offensive and non-offensive content effectively.
 
 ### Training Stats
-- Evaluation Loss: *Insert Evaluation Loss*
-- Evaluation Accuracy: *Insert Evaluation Accuracy*
-- Evaluation Runtime: *Insert Evaluation Runtime*
-- Evaluation Samples per Second: *Insert Evaluation Samples per Second*
-- Evaluation Steps per Second: *Insert Evaluation Steps per Second*
+- Evaluation Loss: 0.018403256312012672
+- Evaluation Accuracy: 0.9973234886940471
+- Evaluation Runtime: 85.0789
+- Evaluation Samples per Second: 127.352
+- Evaluation Steps per Second: 7.969
 
 **Note:** Specific evaluation statistics should be provided based on the model's performance.