Update README.md

README.md

@@ -21,10 +21,13 @@ model-index:
             type: accuracy
             value: 0.9316
 ---
+# distilbert-imdb
+
+This is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on imdb dataset.
 
 ## Performance
-- Loss: 0.19578103721141815
-- Accuracy: 0.9316129032258065
+- Loss: 0.1958
+- Accuracy: 0.932
 
 ## How to Get Started with the Model
 
@@ -38,11 +41,6 @@ classifier = pipeline("sentiment-analysis", model="3oclock/distilbert-imdb", tok
 result = classifier("I love this movie!")
 print(result)
 ```
-
-# Model Card for DistilBERT Fine-Tuned on IMDb Dataset
-
-This model is a fine-tuned version of `distilbert-base-uncased` on the IMDb movie reviews dataset. It is intended for binary sentiment classification (positive or negative) of movie reviews.
-
 ## Model Details
 
 ### Model Description