update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.938
+      value: 0.939
     - name: F1
       type: f1
-      value: 0.9380493958812126
+      value: 0.9389480299119135
 ---
 
 <!-- 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: 0.1828
-- Accuracy: 0.938
-- F1: 0.9380
+- Loss: 0.1742
+- Accuracy: 0.939
+- F1: 0.9389
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.421         | 1.0   | 2000 | 0.2256          | 0.926    | 0.9259 |
-| 0.155         | 2.0   | 4000 | 0.1828          | 0.938    | 0.9380 |
+| 0.4255        | 1.0   | 2000 | 0.2257          | 0.9245   | 0.9240 |
+| 0.1494        | 2.0   | 4000 | 0.1742          | 0.939    | 0.9389 |
 
 
 ### Framework versions