| --- |
| license: apache-2.0 |
| base_model: Mohamedd123321/XLMR_Large_Arabizi_MLM |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: Arabizi_Checkpoints-large |
| 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-large |
| |
| This model is a fine-tuned version of [Mohamedd123321/XLMR_Large_Arabizi_MLM](https://huggingface.co/Mohamedd123321/XLMR_Large_Arabizi_MLM) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5551 |
| - Accuracy: 0.8976 |
| - F1: 0.8979 |
| - Precision: 0.8983 |
| - Recall: 0.8976 |
| |
| ## 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: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 6 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall | |
| |:-------------:|:------:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:| |
| | 0.2588 | 1.9841 | 10000 | 0.8947 | 0.8948 | 0.2934 | 0.8949 | 0.8947 | |
| | 0.1349 | 3.9683 | 20000 | 0.3518 | 0.8983 | 0.8981 | 0.8980 | 0.8983 | |
| | 0.0702 | 5.9524 | 30000 | 0.5551 | 0.8976 | 0.8979 | 0.8983 | 0.8976 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.40.2 |
| - Pytorch 2.8.0+cu129 |
| - Datasets 5.0.0 |
| - Tokenizers 0.19.1 |
| |
