Downloads · 30 days
7
37% of all-time downloads
DANN_JW_OnlyJWAugmentWithJHR
bustamiyusoef/DANN_JW_OnlyJWAugmentWithJHR
DANN_JW_OnlyJWAugmentWithJHR is a machine learning model from bustamiyusoef. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
19
Public
Parameters
248M
496 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors496 MB · 99%
Parameter types
How the weights are stored.
BF16248M · 100%
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
DANN_JW_OnlyJWAugmentWithJHR
This model is a fine-tuned version of MohamedRashad/arabic-small-nougat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1478
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 |
|---|---|---|---|
| 1.6599 | 1.0 | 101 | 0.3251 |
| 1.2198 | 2.0 | 202 | 0.1840 |
| 0.9112 | 3.0 | 303 | 0.1631 |
| 0.8044 | 4.0 | 404 | 0.1529 |
| 0.6899 | 5.0 | 505 | 0.1478 |
| 0.7779 | 6.0 | 606 | 0.1473 |
| 0.5956 | 7.0 | 707 | 0.1484 |
| 0.5914 | 8.0 | 808 | 0.1467 |
| 0.5992 | 9.0 | 909 | 0.1440 |
| 0.6267 | 10.0 | 1010 | 0.1490 |
| 0.5742 | 11.0 | 1111 | 0.1458 |
| 0.5247 | 12.0 | 1212 | 0.1477 |
| 0.5237 | 13.0 | 1313 | 0.1478 |
| 0.5904 | 14.0 | 1414 | 0.1478 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 4.1.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- gpl-3.0
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025