End of training

README.md

@@ -17,9 +17,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6073
-- Accuracy: 0.7804
-- F1: 0.7804
+- Loss: 0.7012
+- Accuracy: 0.7983
+- F1: 0.7984
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.0627        | 1.0   | 102  | 0.6845          | 0.7486   | 0.7450 |
-| 0.5835        | 2.0   | 204  | 0.6166          | 0.7749   | 0.7744 |
-| 0.4549        | 3.0   | 306  | 0.6073          | 0.7804   | 0.7804 |
+| 0.3992        | 1.0   | 102  | 0.6278          | 0.7928   | 0.7943 |
+| 0.2281        | 2.0   | 204  | 0.6513          | 0.8011   | 0.8006 |
+| 0.1703        | 3.0   | 306  | 0.7012          | 0.7983   | 0.7984 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Nov21_13-48-53_e3df372b7d98/events.out.tfevents.1700574535.e3df372b7d98.236.4

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runs/Nov21_13-48-53_e3df372b7d98/events.out.tfevents.1700575156.e3df372b7d98.236.5

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training_args.bin

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