update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9155
+      value: 0.9195
     - name: F1
       type: f1
-      value: 0.9163493789880857
+      value: 0.9204823251325381
 ---
 
 <!-- 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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2377
-- Accuracy: 0.9155
-- F1: 0.9163
+- Loss: 0.2369
+- Accuracy: 0.9195
+- F1: 0.9205
 
 ## Model description
 
@@ -66,8 +66,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.0135        | 1.0   | 250  | 0.3420          | 0.8965   | 0.8953 |
-| 0.2909        | 2.0   | 500  | 0.2377          | 0.9155   | 0.9163 |
+| 0.9212        | 1.0   | 250  | 0.3466          | 0.8965   | 0.8966 |
+| 0.2893        | 2.0   | 500  | 0.2369          | 0.9195   | 0.9205 |
 
 
 ### Framework versions