| --- |
| license: apache-2.0 |
| base_model: Mohamedd123321/Arabizi_Checkpoints-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: Arabizi_Checkpoints_vlast |
| 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. --> |
|
|
| # Arabizi_Checkpoints_vlast |
|
|
| This model is a fine-tuned version of [Mohamedd123321/Arabizi_Checkpoints-large](https://huggingface.co/Mohamedd123321/Arabizi_Checkpoints-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8227 |
| - Accuracy: 0.8735 |
| - F1: 0.8735 |
| - Precision: 0.8738 |
| - Recall: 0.8735 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 6 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall | |
| |:-------------:|:------:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:| |
| | 0.4446 | 1.7247 | 5000 | 0.8677 | 0.8691 | 0.4791 | 0.8724 | 0.8677 | |
| | 0.3038 | 3.4495 | 10000 | 0.8694 | 0.8720 | 0.6029 | 0.8771 | 0.8694 | |
| | 0.2221 | 5.1742 | 15000 | 0.8227 | 0.8735 | 0.8735 | 0.8738 | 0.8735 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.40.2 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 5.0.0 |
| - Tokenizers 0.19.1 |
| |
