metadata
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-vishnu3
results: []
donut-base-vishnu3
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.7699
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4209 | 1.0 | 127 | 2.1796 |
| 2.2026 | 2.0 | 254 | 1.5003 |
| 1.3437 | 3.0 | 381 | 1.2493 |
| 1.5722 | 4.0 | 508 | 1.1311 |
| 0.8412 | 5.0 | 635 | 1.0430 |
| 0.4204 | 6.0 | 762 | 0.9765 |
| 0.4769 | 7.0 | 889 | 0.9437 |
| 0.2852 | 8.0 | 1016 | 0.8951 |
| 0.4611 | 9.0 | 1143 | 0.8431 |
| 0.2971 | 10.0 | 1270 | 0.8496 |
| 0.2414 | 11.0 | 1397 | 0.8118 |
| 0.3451 | 12.0 | 1524 | 0.7813 |
| 0.1289 | 13.0 | 1651 | 0.7743 |
| 0.1248 | 14.0 | 1778 | 0.7769 |
| 0.122 | 15.0 | 1905 | 0.7699 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1