update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1465
-- Accuracy: 0.5
-- F1: 0.4840
-- Precision: 0.5908
-- Recall: 0.5
+- Loss: 2.7129
+- Accuracy: 0.1778
+- F1: 0.1297
+- Precision: 0.1777
+- Recall: 0.1778
 
 ## Model description
 
@@ -48,17 +48,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 3.06          | 1.0   | 8    | 2.5319          | 0.1667   | 0.1604 | 0.2435    | 0.1667 |
-| 2.4666        | 2.0   | 16   | 2.3235          | 0.4333   | 0.365  | 0.3833    | 0.4333 |
-| 2.2624        | 3.0   | 24   | 2.1953          | 0.4667   | 0.4512 | 0.5442    | 0.4667 |
-| 1.7783        | 4.0   | 32   | 2.1465          | 0.5      | 0.4840 | 0.5908    | 0.5    |
-| 1.5082        | 5.0   | 40   | 2.1247          | 0.4667   | 0.4530 | 0.5917    | 0.4667 |
+| 3.0984        | 1.0   | 16   | 3.0297          | 0.0444   | 0.05   | 0.0593    | 0.0444 |
+| 2.9882        | 2.0   | 32   | 2.9796          | 0.0889   | 0.0660 | 0.0526    | 0.0889 |
+| 2.904         | 3.0   | 48   | 2.9029          | 0.1111   | 0.0577 | 0.0399    | 0.1111 |
+| 2.7871        | 4.0   | 64   | 2.8040          | 0.1778   | 0.1057 | 0.1370    | 0.1778 |
+| 2.6578        | 5.0   | 80   | 2.7129          | 0.1778   | 0.1297 | 0.1777    | 0.1778 |
 
 
 ### Framework versions