_Arabic_nougat_AHR
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: 0.3533
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3594 | 1.0 | 77 | 0.3758 |
| 1.6401 | 2.0 | 154 | 0.3143 |
| 1.4332 | 3.0 | 231 | 0.2986 |
| 0.9917 | 4.0 | 308 | 0.2993 |
| 0.8202 | 5.0 | 385 | 0.3082 |
| 0.669 | 6.0 | 462 | 0.3103 |
| 0.5788 | 7.0 | 539 | 0.3233 |
| 0.4873 | 8.0 | 616 | 0.3336 |
| 0.4865 | 9.0 | 693 | 0.3366 |
| 0.3386 | 10.0 | 770 | 0.3503 |
| 0.3643 | 11.0 | 847 | 0.3476 |
| 0.3229 | 12.0 | 924 | 0.3546 |
| 0.3406 | 13.0 | 1001 | 0.3536 |
| 0.331 | 14.0 | 1078 | 0.3534 |
| 0.3016 | 14.8140 | 1140 | 0.3533 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0