metadata
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_marriage_RT_001
results: []
donut_marriage_RT_001
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: 0.3953
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 |
---|---|---|---|
1.0315 | 1.0 | 163 | 0.9688 |
0.5694 | 2.0 | 326 | 0.5084 |
0.5065 | 3.0 | 489 | 0.4196 |
0.1008 | 4.0 | 652 | 0.3998 |
0.1531 | 5.0 | 815 | 0.3687 |
0.1606 | 6.0 | 978 | 0.3642 |
0.1383 | 7.0 | 1141 | 0.3745 |
0.0956 | 8.0 | 1304 | 0.3856 |
0.0331 | 9.0 | 1467 | 0.3850 |
0.0032 | 10.0 | 1630 | 0.3920 |
0.0164 | 11.0 | 1793 | 0.3953 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0