update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9205
+      value: 0.924
     - name: F1
       type: f1
-      value: 0.9205567663900311
+      value: 0.9236522161088039
 ---
 
 <!-- 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: 0.2268
-- Accuracy: 0.9205
-- F1: 0.9206
+- Loss: 0.2102
+- Accuracy: 0.924
+- F1: 0.9237
 
 ## Model description
 
@@ -68,13 +68,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8562        | 1.0   | 250  | 0.3203          | 0.9055   | 0.9032 |
-| 0.2555        | 2.0   | 500  | 0.2268          | 0.9205   | 0.9206 |
+| 0.8307        | 1.0   | 250  | 0.3131          | 0.9065   | 0.9042 |
+| 0.2492        | 2.0   | 500  | 0.2102          | 0.924    | 0.9237 |
 
 
 ### Framework versions
 
-- Transformers 4.26.1
+- Transformers 4.27.1
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
 - Tokenizers 0.13.2