PDFDonut1-5Epochs-LargeTrain1
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: 0.6373
Model description
More information needed
Intended uses & limitations
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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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3804 | 1.0 | 225 | 1.4858 |
| 1.417 | 2.0 | 450 | 0.8949 |
| 1.0463 | 3.0 | 675 | 0.8247 |
| 0.8522 | 4.0 | 900 | 0.6329 |
| 0.7658 | 5.0 | 1125 | 0.6373 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for tedad09/PDFDonut1-5Epochs-LargeTrain1
Base model
naver-clova-ix/donut-base