update model card README.md

README.md

@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0654
-- F1: 0.8501
-- Roc Auc: 0.9178
-- Accuracy: 0.7616
+- Loss: 0.0694
+- F1: 0.8430
+- Roc Auc: 0.9128
+- Accuracy: 0.7523
 
 ## Model description
 
@@ -51,15 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 193  | 0.1020          | 0.7502 | 0.8274  | 0.6443   |
-| No log        | 2.0   | 386  | 0.0759          | 0.8068 | 0.8678  | 0.7114   |
-| 0.1069        | 3.0   | 579  | 0.0728          | 0.8240 | 0.8890  | 0.7393   |
-| 0.1069        | 4.0   | 772  | 0.0670          | 0.8418 | 0.9112  | 0.7635   |
-| 0.1069        | 5.0   | 965  | 0.0654          | 0.8501 | 0.9178  | 0.7616   |
-| 0.0318        | 6.0   | 1158 | 0.0669          | 0.8467 | 0.9197  | 0.7579   |
-| 0.0318        | 7.0   | 1351 | 0.0686          | 0.8471 | 0.9190  | 0.7672   |
-| 0.0141        | 8.0   | 1544 | 0.0705          | 0.8493 | 0.9259  | 0.7561   |
-| 0.0141        | 9.0   | 1737 | 0.0732          | 0.8450 | 0.9248  | 0.7486   |
+| No log        | 1.0   | 193  | 0.0694          | 0.8430 | 0.9128  | 0.7523   |
+| No log        | 2.0   | 386  | 0.0713          | 0.8489 | 0.9184  | 0.7598   |
+| 0.0183        | 3.0   | 579  | 0.0779          | 0.8377 | 0.9226  | 0.7412   |
+| 0.0183        | 4.0   | 772  | 0.0727          | 0.8455 | 0.9181  | 0.7523   |
+| 0.0183        | 5.0   | 965  | 0.0749          | 0.8555 | 0.9264  | 0.7672   |
 
 
 ### Framework versions