update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9295
+      value: 0.9205
     - name: F1
       type: f1
-      value: 0.9299463186695679
+      value: 0.9208516634700311
 ---
 
 <!-- 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: 0.1637
-- Accuracy: 0.9295
-- F1: 0.9299
+- Loss: 0.2253
+- Accuracy: 0.9205
+- F1: 0.9209
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 250  | 0.1770          | 0.928    | 0.9276 |
-| No log        | 2.0   | 500  | 0.1637          | 0.9295   | 0.9299 |
+| No log        | 1.0   | 250  | 0.3166          | 0.905    | 0.9027 |
+| No log        | 2.0   | 500  | 0.2253          | 0.9205   | 0.9209 |
 
 
 ### Framework versions