update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9045
+      value: 0.8945
     - name: F1
       type: f1
-      value: 0.9016498473978424
+      value: 0.8871610121255439
 ---
 
 <!-- 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: 0.3373
-- Accuracy: 0.9045
-- F1: 0.9016
+- Loss: 0.3645
+- Accuracy: 0.8945
+- F1: 0.8872
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 125  | 0.5313          | 0.847    | 0.8333 |
-| 0.7326        | 2.0   | 250  | 0.3373          | 0.9045   | 0.9016 |
+| No log        | 1.0   | 125  | 0.5816          | 0.8015   | 0.7597 |
+| 0.7707        | 2.0   | 250  | 0.3645          | 0.8945   | 0.8872 |
 
 
 ### Framework versions