update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9801980198019802
+      value: 0.9807191245440333
     - name: F1
       type: f1
-      value: 0.9801831899437081
+      value: 0.9807094920322905
 ---
 
 <!-- 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: 0.0602
-- Accuracy: 0.9802
-- F1: 0.9802
+- Loss: 0.0603
+- Accuracy: 0.9807
+- F1: 0.9807
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.191         | 1.0   | 242  | 0.0677          | 0.9766   | 0.9765 |
-| 0.0434        | 2.0   | 484  | 0.0602          | 0.9802   | 0.9802 |
+| 0.1998        | 1.0   | 242  | 0.0687          | 0.9776   | 0.9776 |
+| 0.0451        | 2.0   | 484  | 0.0603          | 0.9807   | 0.9807 |
 
 
 ### Framework versions