update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.933
+      value: 0.928
     - name: F1
       type: f1
-      value: 0.9334187072240641
+      value: 0.9278415074713384
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 0.1651
-- Accuracy: 0.933
-- F1: 0.9334
+- Loss: 0.2177
+- Accuracy: 0.928
+- F1: 0.9278
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1959        | 1.0   | 250  | 0.1869          | 0.933    | 0.9327 |
-| 0.1304        | 2.0   | 500  | 0.1651          | 0.933    | 0.9334 |
+| 0.8104        | 1.0   | 250  | 0.3057          | 0.9105   | 0.9084 |
+| 0.2506        | 2.0   | 500  | 0.2177          | 0.928    | 0.9278 |
 
 
 ### Framework versions