update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9395
+      value: 0.937
     - name: F1
       type: f1
-      value: 0.9397926059250336
+      value: 0.9373121473490384
 ---
 
 <!-- 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: 0.1470
-- Accuracy: 0.9395
-- F1: 0.9398
+- Loss: 0.1565
+- Accuracy: 0.937
+- F1: 0.9373
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5086        | 1.0   | 1000 | 0.1911          | 0.9235   | 0.9232 |
-| 0.1514        | 2.0   | 2000 | 0.1470          | 0.9395   | 0.9398 |
+| 0.4774        | 1.0   | 1000 | 0.1971          | 0.923    | 0.9226 |
+| 0.147         | 2.0   | 2000 | 0.1565          | 0.937    | 0.9373 |
 
 
 ### Framework versions