metadata
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
- generated_from_trainer
model-index:
- name: _Arabic_base_nougat_logs
results: []
_Arabic_base_nougat_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: 0.1325
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 |
|---|---|---|---|
| 0.2205 | 0.996 | 83 | 0.1900 |
| 0.1605 | 1.992 | 166 | 0.1587 |
| 0.1008 | 3.0 | 250 | 0.1422 |
| 0.1061 | 3.996 | 333 | 0.1317 |
| 0.0946 | 4.992 | 416 | 0.1296 |
| 0.0619 | 6.0 | 500 | 0.1262 |
| 0.0606 | 6.996 | 583 | 0.1279 |
| 0.0543 | 7.992 | 666 | 0.1287 |
| 0.036 | 9.0 | 750 | 0.1325 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3