Downloads · 30 days
4
16% of all-time downloads
invoice_extraction_20240816_ana_wrong_aug4x_ROC_retrain
michaeljcliao/invoice_extraction_20240816_ana_wrong_aug4x_ROC_retrain
invoice_extraction_20240816_ana_wrong_aug4x_ROC_retrain is a machine learning model from michaeljcliao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Parameters
202M
810 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors809 MB · 99%
Parameter types
How the weights are stored.
F32202M · 100%
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
invoice_extraction_20240816_ana_wrong_aug4x_retrain
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
Model description
Trained from Donut base model (naver-clova-ix/donut-base) with Ana v1 model's training data but augmented the ones that got the invoice date wrong even when overfitted. The training is done with ROC formatted date.
Intended uses & limitations
More information needed
Training and evaluation data
Train data: 1463 samples
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024