metadata
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
results: []
donut-base-sroie
This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 5.7016
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.5672 | 1.0 | 3 | 8.6900 |
| 9.2165 | 2.0 | 6 | 8.1679 |
| 8.6254 | 3.0 | 9 | 8.8826 |
| 8.5961 | 4.0 | 12 | 7.9094 |
| 8.0975 | 5.0 | 15 | 7.6390 |
| 8.0688 | 6.0 | 18 | 7.3710 |
| 7.8179 | 7.0 | 21 | 7.1756 |
| 7.4056 | 8.0 | 24 | 7.1199 |
| 7.2254 | 9.0 | 27 | 6.8964 |
| 7.1395 | 10.0 | 30 | 6.8406 |
| 7.2451 | 11.0 | 33 | 6.5694 |
| 6.8052 | 12.0 | 36 | 6.7802 |
| 6.8587 | 13.0 | 39 | 6.3983 |
| 6.6803 | 14.0 | 42 | 6.3614 |
| 6.5832 | 15.0 | 45 | 6.2045 |
| 6.3016 | 16.0 | 48 | 6.3187 |
| 6.3266 | 17.0 | 51 | 6.1394 |
| 6.2154 | 18.0 | 54 | 5.9751 |
| 6.0545 | 19.0 | 57 | 5.9170 |
| 6.0753 | 20.0 | 60 | 5.9828 |
| 6.0034 | 21.0 | 63 | 5.9600 |
| 6.0545 | 22.0 | 66 | 5.8052 |
| 5.8055 | 23.0 | 69 | 5.7358 |
| 5.7705 | 24.0 | 72 | 5.6998 |
| 5.8007 | 25.0 | 75 | 5.7016 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1