Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
invoice_extraction_donut_fromv0_f21_ep3_0724 – AI Model by VVVVL | AlphaNeural AI
You can deploy this model and start earning money today!
VVVVL
/
invoice_extraction_donut_fromv0_f21_ep3_0724
like
0
transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
naver-clova-ix/donut-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
invoice_extraction_donut_fromv0_f21_ep3_0724
This model is a fine-tuned version of
naver-clova-ix/donut-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0731
Char Accuracy: 0.6639
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
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 2
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Char Accuracy
0.2712
1.0
1496
0.1295
0.7607
0.0773
2.0
2992
0.0735
0.6365
0.0248
3.0
4488
0.0731
0.6639
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
