metadata
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
- generated_from_trainer
model-index:
- name: ArabicJawi_baseNougat_logs
results: []
ArabicJawi_baseNougat_logs
This model is a fine-tuned version of MohamedRashad/arabic-base-nougat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0873
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1724 | 0.9973 | 187 | 0.1420 |
| 0.1142 | 2.0 | 375 | 0.1124 |
| 0.1047 | 2.9973 | 562 | 0.0980 |
| 0.0883 | 4.0 | 750 | 0.0895 |
| 0.0505 | 4.9973 | 937 | 0.0873 |
| 0.0483 | 6.0 | 1125 | 0.0872 |
| 0.0387 | 6.9973 | 1312 | 0.0868 |
| 0.0261 | 8.0 | 1500 | 0.0861 |
| 0.0415 | 8.9973 | 1687 | 0.0891 |
| 0.0273 | 10.0 | 1875 | 0.0873 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3