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bustamiyusoef/
_nougat_CharJawiAHR_JAWI

Name: _nougat_CharJawiAHR_JAWI
Availability: InStock

transformers

safetensors

vision-encoder-decoder

image-to-text

generated_from_trainer

bustamiyusoef/_nougat_CharJawi_AHR

finetune

cc-by-nc-4.0

endpoints_compatible

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_nougat_CharJawiAHR_JAWI

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

Loss: 1.8648

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	2.5887
16.621	2.0	18	2.3157
13.6386	3.0	27	2.2025
12.6028	4.0	36	2.1230
12.0041	5.0	45	2.0526
11.5564	6.0	54	2.0199
11.1777	7.0	63	1.9944
10.9702	8.0	72	1.9682
10.708	9.0	81	1.9421
9.7333	10.0	90	1.9295
9.7333	11.0	99	1.9165
10.3216	12.0	108	1.9037
10.1168	13.0	117	1.9021
9.9922	14.0	126	1.8825
9.8871	15.0	135	1.8820
9.6609	16.0	144	1.8782
9.753	17.0	153	1.8775
9.5267	18.0	162	1.8691
9.5211	19.0	171	1.8736
8.7924	20.0	180	1.8645
8.7924	21.0	189	1.8703
9.4166	22.0	198	1.8659
9.3707	23.0	207	1.8639
9.3471	24.0	216	1.8640
9.3118	25.0	225	1.8653
9.3037	26.0	234	1.8648

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

bustamiyusoef/_nougat_CharJawiAHR_JAWI

_nougat_CharJawiAHR_JAWI

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bustamiyusoef/
_nougat_CharJawiAHR_JAWI