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donut-base-sroie
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: 1.8229
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1301 | 1.0 | 73 | 4.2545 |
| 1.8221 | 2.0 | 146 | 2.3995 |
| 0.9406 | 3.0 | 219 | 1.9901 |
| 1.3708 | 4.0 | 292 | 1.7363 |
| 0.9771 | 5.0 | 365 | 1.6777 |
| 0.5417 | 6.0 | 438 | 1.6835 |
| 0.9799 | 7.0 | 511 | 1.6810 |
| 0.8556 | 8.0 | 584 | 1.6444 |
| 0.4318 | 9.0 | 657 | 1.6896 |
| 0.3058 | 10.0 | 730 | 1.7384 |
| 0.6697 | 11.0 | 803 | 1.7513 |
| 0.3883 | 12.0 | 876 | 1.7887 |
| 0.166 | 13.0 | 949 | 1.8229 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
