metadata
license: mit
base_model: naver-clova-ix/donut-proto
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-proto-sroie
results: []
donut-proto-sroie
This model is a fine-tuned version of naver-clova-ix/donut-proto on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.9048
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 |
|---|---|---|---|
| 7.7533 | 1.0 | 73 | 7.3383 |
| 6.2747 | 2.0 | 146 | 5.8340 |
| 4.5766 | 3.0 | 219 | 4.4653 |
| 4.2866 | 4.0 | 292 | 3.6184 |
| 3.5846 | 5.0 | 365 | 3.3728 |
| 3.5065 | 6.0 | 438 | 3.2303 |
| 2.8412 | 7.0 | 511 | 3.1083 |
| 3.4091 | 8.0 | 584 | 3.0442 |
| 3.0191 | 9.0 | 657 | 3.0130 |
| 2.5351 | 10.0 | 730 | 2.9678 |
| 2.9271 | 11.0 | 803 | 2.9627 |
| 2.7935 | 12.0 | 876 | 2.9427 |
| 3.0205 | 13.0 | 949 | 2.9298 |
| 3.1783 | 14.0 | 1022 | 2.9204 |
| 3.0527 | 15.0 | 1095 | 2.9210 |
| 2.2231 | 16.0 | 1168 | 2.9251 |
| 2.1284 | 17.0 | 1241 | 2.9015 |
| 2.6874 | 18.0 | 1314 | 2.9099 |
| 2.5325 | 19.0 | 1387 | 2.9091 |
| 2.6132 | 20.0 | 1460 | 2.9048 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1