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 [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0474
-- Accuracy: 0.5789
+- Loss: 0.4400
+- Accuracy: 0.8573
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 1.0549          | 0.4737   |
-| No log        | 2.0   | 20   | 1.0521          | 0.5      |
-| No log        | 3.0   | 30   | 1.0474          | 0.5789   |
+| No log        | 1.0   | 323  | 0.6097          | 0.7804   |
+| 0.8105        | 2.0   | 646  | 0.4336          | 0.8510   |
+| 0.8105        | 3.0   | 969  | 0.4400          | 0.8573   |
 
 
 ### Framework versions
 
 - Transformers 4.48.3
-- Pytorch 2.6.0+cu124
+- Pytorch 2.5.1+cu124
 - Datasets 3.4.0
 - Tokenizers 0.21.0

model.safetensors

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runs/Mar16_17-06-34_fadba89ec1ff/events.out.tfevents.1742144797.fadba89ec1ff.2601.0

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