| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: arabic-offensive-comment-model | |
| 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. --> | |
| # arabic-offensive-comment-model | |
| This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2989 | |
| - Accuracy: 0.9167 | |
| - F1: 0.8197 | |
| - Precision: 0.8507 | |
| - Recall: 0.7959 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| | 0.3048 | 1.0 | 675 | 0.2989 | 0.9167 | 0.8197 | 0.8507 | 0.7959 | | |
| | 0.1519 | 2.0 | 1350 | 0.4141 | 0.915 | 0.8341 | 0.8268 | 0.8420 | | |
| | 0.0398 | 3.0 | 2025 | 0.5259 | 0.9033 | 0.8105 | 0.8049 | 0.8163 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |