| --- |
| base_model: aubmindlab/bert-base-arabertv02 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: test |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # test |
|
|
| This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4328 |
| - Accuracy: 0.8571 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 9 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 11 | 0.6631 | 0.6190 | |
| | No log | 2.0 | 22 | 0.4584 | 0.9048 | |
| | No log | 3.0 | 33 | 0.3879 | 0.8571 | |
| | No log | 4.0 | 44 | 0.3780 | 0.8571 | |
| | No log | 5.0 | 55 | 0.4273 | 0.8571 | |
| | No log | 6.0 | 66 | 0.3786 | 0.8571 | |
| | No log | 7.0 | 77 | 0.3273 | 0.8571 | |
| | No log | 8.0 | 88 | 0.4280 | 0.8571 | |
| | No log | 9.0 | 99 | 0.4328 | 0.8571 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.42.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
