update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9325
+      value: 0.927
     - name: F1
       type: f1
-      value: 0.9326684505910287
+      value: 0.9270484012569777
 ---
 
 <!-- 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: 0.1663
-- Accuracy: 0.9325
-- F1: 0.9327
+- Loss: 0.1624
+- Accuracy: 0.927
+- F1: 0.9270
 
 ## Model description
 
@@ -68,14 +68,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7825        | 1.0   | 250  | 0.2780          | 0.914    | 0.9125 |
-| 0.2174        | 2.0   | 500  | 0.1746          | 0.9245   | 0.9245 |
-| 0.1472        | 3.0   | 750  | 0.1663          | 0.9325   | 0.9327 |
+| 0.7758        | 1.0   | 250  | 0.2698          | 0.915    | 0.9136 |
+| 0.2169        | 2.0   | 500  | 0.1722          | 0.9265   | 0.9263 |
+| 0.1473        | 3.0   | 750  | 0.1624          | 0.927    | 0.9270 |
 
 
 ### Framework versions
 
-- Transformers 4.27.3
+- Transformers 4.28.0.dev0
 - Pytorch 2.0.0
 - Datasets 2.10.1
 - Tokenizers 0.13.2