update model card README.md

README.md

@@ -21,10 +21,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7266401590457257
+      value: 0.7415506958250497
     - name: F1
       type: f1
-      value: 0.7258317874418239
+      value: 0.7406006078114171
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the emotone_ar dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9079
-- Accuracy: 0.7266
-- F1: 0.7258
+- Loss: 0.8965
+- Accuracy: 0.7416
+- F1: 0.7406
 
 ## Model description
 
@@ -67,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.2471        | 1.0   | 142  | 0.8635          | 0.7078   | 0.6951 |
-| 0.7906        | 2.0   | 284  | 0.8124          | 0.7266   | 0.7202 |
-| 0.5983        | 3.0   | 426  | 0.8331          | 0.7336   | 0.7262 |
-| 0.4615        | 4.0   | 568  | 0.8542          | 0.7266   | 0.7240 |
-| 0.3573        | 5.0   | 710  | 0.8924          | 0.7286   | 0.7274 |
-| 0.2969        | 6.0   | 852  | 0.9079          | 0.7266   | 0.7258 |
+| 1.3476        | 1.0   | 142  | 0.8911          | 0.7008   | 0.6812 |
+| 0.8204        | 2.0   | 284  | 0.8175          | 0.7276   | 0.7212 |
+| 0.6227        | 3.0   | 426  | 0.8392          | 0.7376   | 0.7302 |
+| 0.4816        | 4.0   | 568  | 0.8531          | 0.7435   | 0.7404 |
+| 0.378         | 5.0   | 710  | 0.8817          | 0.7396   | 0.7388 |
+| 0.3134        | 6.0   | 852  | 0.8965          | 0.7416   | 0.7406 |
 
 
 ### Framework versions