update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9255
+      value: 0.925
     - name: F1
       type: f1
-      value: 0.9255126980555067
+      value: 0.9251677974154898
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 0.2199
-- Accuracy: 0.9255
-- F1: 0.9255
+- Loss: 0.2078
+- Accuracy: 0.925
+- F1: 0.9252
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8385        | 1.0   | 250  | 0.3097          | 0.914    | 0.9116 |
-| 0.2523        | 2.0   | 500  | 0.2199          | 0.9255   | 0.9255 |
+| 0.7925        | 1.0   | 250  | 0.2900          | 0.913    | 0.9113 |
+| 0.2343        | 2.0   | 500  | 0.2078          | 0.925    | 0.9252 |
 
 
 ### Framework versions