line_items – AI Model by Sagarjha456 | AlphaNeural AI

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Sagarjha456/
line_items

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vision-encoder-decoder

image-text-to-text

generated_from_trainer

naver-clova-ix/donut-base

endpoints_compatible

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line_items

This model is a fine-tuned version of naver-clova-ix/donut-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4747

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
12.9586	1.0754	200	2.1653
4.3160	2.1507	400	1.0573
2.1071	3.2261	600	0.6039
0.9479	4.3015	800	0.4992
0.6713	5.3769	1000	0.4486
0.6128	6.4522	1200	0.4649
0.5284	7.5276	1400	0.4505
0.3932	8.6030	1600	0.4747

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2