NougatArabic_CL_selfsupervised_DANN_GER_1 – AI Model by bustamiyusoef | AlphaNeural AI

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bustamiyusoef/
NougatArabic_CL_selfsupervised_DANN_GER_1

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vision-encoder-decoder

generated_from_trainer

facebook/nougat-base

endpoints_compatible

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NougatArabic_CL_selfsupervised_DANN_GER_1

This model is a fine-tuned version of facebook/nougat-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 55.0182

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: 10
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 60
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
6.8753	1.0	82	1.2500
5.5042	2.0	164	1.0180
5.2724	3.0	246	1.0744
4.7891	4.0	328	1.0056
4.3945	5.0	410	0.9734
4.5137	6.0	492	0.9604
4.6212	7.0	574	0.9745
9.2208	8.0	656	1.4678
9.3394	9.0	738	1.3357
7.497	10.0	820	1.3624
507.5631	11.0	902	55.0182

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.21.0