metadata
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-vishnu2
results: []
donut-base-vishnu2
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: 1.6822
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 |
|---|---|---|---|
| 3.5134 | 1.0 | 137 | 2.8022 |
| 3.0637 | 2.0 | 274 | 1.8503 |
| 0.9705 | 3.0 | 411 | 1.6708 |
| 0.889 | 4.0 | 548 | 1.5365 |
| 0.3093 | 5.0 | 685 | 1.5766 |
| 0.1843 | 6.0 | 822 | 1.4999 |
| 0.7406 | 7.0 | 959 | 1.4946 |
| 2.8585 | 8.0 | 1096 | 1.5358 |
| 0.8517 | 9.0 | 1233 | 1.6042 |
| 0.7837 | 10.0 | 1370 | 1.6064 |
| 0.4483 | 11.0 | 1507 | 1.6338 |
| 0.5618 | 12.0 | 1644 | 1.6822 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1