metadata
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
- generated_from_trainer
model-index:
- name: _Arabic_nougat_AHRXjawi
results: []
_Arabic_nougat_AHRXjawi
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: 0.2568
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.948 | 0.9969 | 159 | 0.2862 |
| 1.2901 | 1.9969 | 318 | 0.2339 |
| 1.1543 | 2.9969 | 477 | 0.2213 |
| 0.8668 | 3.9969 | 636 | 0.2139 |
| 0.6597 | 4.9969 | 795 | 0.2151 |
| 0.6014 | 5.9969 | 954 | 0.2153 |
| 0.418 | 6.9969 | 1113 | 0.2250 |
| 0.3342 | 7.9969 | 1272 | 0.2305 |
| 0.2786 | 8.9969 | 1431 | 0.2333 |
| 0.2538 | 9.9969 | 1590 | 0.2419 |
| 0.1871 | 10.9969 | 1749 | 0.2399 |
| 0.2311 | 11.9969 | 1908 | 0.2467 |
| 0.1756 | 12.9969 | 2067 | 0.2523 |
| 0.1788 | 13.9969 | 2226 | 0.2528 |
| 0.162 | 14.9969 | 2385 | 0.2546 |
| 0.1526 | 15.9969 | 2544 | 0.2558 |
| 0.1331 | 16.9969 | 2703 | 0.2568 |
| 0.1614 | 17.9969 | 2862 | 0.2568 |
| 0.1636 | 18.9969 | 3021 | 0.2571 |
| 0.1422 | 19.9969 | 3180 | 0.2568 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0