update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9365
+      value: 0.939
     - name: F1
       type: f1
-      value: 0.9366629755672609
+      value: 0.9390864815601339
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1589
-- Accuracy: 0.9365
-- F1: 0.9367
+- Loss: 0.1591
+- Accuracy: 0.939
+- F1: 0.9391
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2487        | 1.0   | 1000 | 0.2102          | 0.925    | 0.9245 |
-| 0.1536        | 2.0   | 2000 | 0.1599          | 0.9355   | 0.9353 |
-| 0.0996        | 3.0   | 3000 | 0.1589          | 0.9365   | 0.9367 |
+| 0.2497        | 1.0   | 1000 | 0.2133          | 0.9255   | 0.9252 |
+| 0.1498        | 2.0   | 2000 | 0.1652          | 0.934    | 0.9339 |
+| 0.0965        | 3.0   | 3000 | 0.1591          | 0.939    | 0.9391 |
 
 
 ### Framework versions