update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9295
+      value: 0.9265
     - name: F1
       type: f1
-      value: 0.9294013137388694
+      value: 0.9264428737246507
 ---
 
 <!-- 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: 0.2110
-- Accuracy: 0.9295
-- F1: 0.9294
+- Loss: 0.2205
+- Accuracy: 0.9265
+- F1: 0.9264
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8416        | 1.0   | 250  | 0.3099          | 0.8995   | 0.8949 |
-| 0.2494        | 2.0   | 500  | 0.2110          | 0.9295   | 0.9294 |
+| 0.8297        | 1.0   | 250  | 0.3175          | 0.9085   | 0.9065 |
+| 0.2503        | 2.0   | 500  | 0.2205          | 0.9265   | 0.9264 |
 
 
 ### Framework versions