update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.941
+      value: 0.9425
     - name: F1
       type: f1
-      value: 0.9407981871026927
+      value: 0.9422011075095515
 ---
 
 <!-- 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: 0.2275
-- Accuracy: 0.941
-- F1: 0.9408
+- Loss: 0.2285
+- Accuracy: 0.9425
+- F1: 0.9422
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.4546        | 1.0   | 8000  | 0.2665          | 0.933    | 0.9318 |
-| 0.2003        | 2.0   | 16000 | 0.2275          | 0.941    | 0.9408 |
+| 0.4656        | 1.0   | 8000  | 0.2912          | 0.9365   | 0.9362 |
+| 0.2046        | 2.0   | 16000 | 0.2285          | 0.9425   | 0.9422 |
 
 
 ### Framework versions