donut-base-invoice-resize_splitbydate_roc_240401
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
Model description
Trained from pretrained model (yuchiahung/donut-base-invoice-resize_splitbydate_roc_240401) with non-type-0 invoice data
Intended uses & limitations
More information needed
Training and evaluation data
Train data: 99 samples
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2
- Downloads last month
- 14
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for michaeljcliao/invoice_extraction_20240726_non_type_0_99
Base model
naver-clova-ix/donut-base