NougatArabic_JawiAugment_MlyNewspaper_X_ransam1_v1 – AI Model by bustamiyusoef | AlphaNeural AI

You can deploy this model and start earning money today!

bustamiyusoef/
NougatArabic_JawiAugment_MlyNewspaper_X_ransam1_v1

like

0

vision-encoder-decoder

generated_from_trainer

MohamedRashad/arabic-small-nougat

endpoints_compatible

Views

No views yet

NougatArabic_JawiAugment_MlyNewspaper_X_ransam1_v1

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: 0.1782

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
1.7191	1.0	153	0.2669
1.3989	2.0	306	0.2178
1.1137	3.0	459	0.1958
0.8059	4.0	612	0.1855
0.8749	5.0	765	0.1809
0.7122	6.0	918	0.1774
0.4741	7.0	1071	0.1778
0.5197	8.0	1224	0.1779
0.58	9.0	1377	0.1772
0.5077	10.0	1530	0.1790
0.5602	11.0	1683	0.1785
0.5419	12.0	1836	0.1782

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.0