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: 2.9364
-- Accuracy: 0.2
+- Loss: 2.7004
+- Accuracy: 0.2647
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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      |
+| No log        | 1.0   | 17   | 2.8757          | 0.1176   |
+| No log        | 2.0   | 34   | 2.8086          | 0.2059   |
+| No log        | 3.0   | 51   | 2.7004          | 0.2647   |
 
 
 ### Framework versions
 
 - Transformers 4.52.4
 - Pytorch 2.6.0+cu124
-- Datasets 3.6.0
+- Datasets 2.14.4
 - Tokenizers 0.21.1