End of training

README.md

@@ -17,8 +17,8 @@ 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: 2.3272
-- Accuracy: 0.44
+- Loss: 2.9364
+- Accuracy: 0.2
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 2.6061          | 0.28     |
-| No log        | 2.0   | 26   | 2.4212          | 0.44     |
-| No log        | 3.0   | 39   | 2.3272          | 0.44     |
+| No log        | 1.0   | 13   | 3.1038          | 0.04     |
+| No log        | 2.0   | 26   | 2.9754          | 0.24     |
+| No log        | 3.0   | 39   | 2.9364          | 0.2      |
 
 
 ### Framework versions

model.safetensors

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runs/Jun19_12-45-49_5bf279589c0b/events.out.tfevents.1750337152.5bf279589c0b.2414.2

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 version https://git-lfs.github.com/spec/v1
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