update model card README.md

README.md

@@ -2,6 +2,9 @@
 base_model: aubmindlab/bert-large-arabertv02-twitter
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: Model5_T2_Araberv2_large_WS_A100
   results: []
@@ -12,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model5_T2_Araberv2_large_WS_A100
 
-This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on an unknown dataset.
+This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0614
+- F1: 0.8576
+- Roc Auc: 0.9065
+- Accuracy: 0.7784
 
 ## Model description
 
@@ -39,6 +47,19 @@ 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  | 0.0799          | 0.8025 | 0.8645  | 0.7151   |
+| No log        | 2.0   | 386  | 0.0655          | 0.8429 | 0.8987  | 0.7616   |
+| 0.0884        | 3.0   | 579  | 0.0614          | 0.8576 | 0.9065  | 0.7784   |
+| 0.0884        | 4.0   | 772  | 0.0659          | 0.8599 | 0.9275  | 0.7858   |
+| 0.0884        | 5.0   | 965  | 0.0674          | 0.8495 | 0.9244  | 0.7561   |
+| 0.0238        | 6.0   | 1158 | 0.0709          | 0.8480 | 0.9176  | 0.7616   |
+| 0.0238        | 7.0   | 1351 | 0.0691          | 0.8557 | 0.9227  | 0.7654   |
+
+
 ### Framework versions
 
 - Transformers 4.31.0