| --- |
| library_name: transformers |
| base_model: aubmindlab/bert-large-arabertv02 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: EOS_bert |
| 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. --> |
|
|
| # EOS_bert |
| |
| This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0007 |
| - Accuracy: 1.0 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 57 | 0.5427 | 0.81 | |
| | No log | 2.0 | 114 | 0.3237 | 0.91 | |
| | No log | 3.0 | 171 | 0.1998 | 0.97 | |
| | No log | 4.0 | 228 | 0.0504 | 1.0 | |
| | No log | 5.0 | 285 | 0.0290 | 1.0 | |
| | No log | 6.0 | 342 | 0.0033 | 1.0 | |
| | No log | 7.0 | 399 | 0.0026 | 1.0 | |
| | No log | 8.0 | 456 | 0.0009 | 1.0 | |
| | 0.2254 | 9.0 | 513 | 0.0007 | 1.0 | |
| | 0.2254 | 10.0 | 570 | 0.0007 | 1.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.3 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
