update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.924
+      value: 0.926
     - name: F1
       type: f1
-      value: 0.9242751501367776
+      value: 0.9260894194969761
 ---
 
 <!-- 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: 0.2117
-- Accuracy: 0.924
-- F1: 0.9243
+- Loss: 0.2139
+- Accuracy: 0.926
+- F1: 0.9261
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7989        | 1.0   | 250  | 0.3019          | 0.911    | 0.9086 |
-| 0.2373        | 2.0   | 500  | 0.2117          | 0.924    | 0.9243 |
+| 0.8365        | 1.0   | 250  | 0.3119          | 0.9085   | 0.9048 |
+| 0.244         | 2.0   | 500  | 0.2139          | 0.926    | 0.9261 |
 
 
 ### Framework versions