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bustamiyusoef/
_nougat_CharJawi_AHR

Name: _nougat_CharJawi_AHR
Availability: InStock

transformers

safetensors

vision-encoder-decoder

image-to-text

generated_from_trainer

bustamiyusoef/_base_nougat_Char

finetune

cc-by-nc-4.0

endpoints_compatible

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_nougat_CharJawi_AHR

This model is a fine-tuned version of bustamiyusoef/_base_nougat_JawiChar on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0337

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
No log	1.0	9	2.4993
24.9223	2.0	18	2.3432
13.5598	3.0	27	2.2779
13.0195	4.0	36	2.2595
12.7676	5.0	45	2.2114
12.4741	6.0	54	2.1787
12.2735	7.0	63	2.1623
12.0191	8.0	72	2.1403
11.8536	9.0	81	2.1117
10.9289	10.0	90	2.0991
10.9289	11.0	99	2.0867
11.5685	12.0	108	2.0819
11.4487	13.0	117	2.0693
11.2871	14.0	126	2.0658
11.1921	15.0	135	2.0634
11.0656	16.0	144	2.0563
11.029	17.0	153	2.0515
10.957	18.0	162	2.0413
10.9147	19.0	171	2.0462
9.9879	20.0	180	2.0382
9.9879	21.0	189	2.0379
10.7999	22.0	198	2.0354
10.6849	23.0	207	2.0379
10.8111	24.0	216	2.0358
10.7872	25.0	225	2.0336
10.665	26.0	234	2.0340
10.743	26.72	240	2.0337

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

bustamiyusoef/_nougat_CharJawi_AHR

_nougat_CharJawi_AHR

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bustamiyusoef/
_nougat_CharJawi_AHR