update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9215
+      value: 0.929
     - name: F1
       type: f1
-      value: 0.9212919099012898
+      value: 0.9289634297429328
 ---
 
 <!-- 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: 0.2271
-- Accuracy: 0.9215
-- F1: 0.9213
+- Loss: 0.2149
+- Accuracy: 0.929
+- F1: 0.9290
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8375        | 1.0   | 250  | 0.3275          | 0.896    | 0.8926 |
-| 0.2511        | 2.0   | 500  | 0.2271          | 0.9215   | 0.9213 |
+| 0.8482        | 1.0   | 250  | 0.3132          | 0.907    | 0.9037 |
+| 0.2466        | 2.0   | 500  | 0.2149          | 0.929    | 0.9290 |
 
 
 ### Framework versions