update model card README.md

README.md

@@ -2,6 +2,9 @@
 base_model: aubmindlab/bert-base-arabertv02-twitter
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: Model4_arabertv2_base_T2_WS_A100
   results: []
@@ -12,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model4_arabertv2_base_T2_WS_A100
 
-This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on an unknown dataset.
+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
 
 ## Model description
 
@@ -39,6 +47,21 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 15
 
+### Training results
+
+| 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   |
+
+
 ### Framework versions
 
 - Transformers 4.31.0