donut-3epochs-Data3
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: 0.9766
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: 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 |
|---|---|---|---|
| 3.5353 | 1.0 | 200 | 1.5690 |
| 1.4622 | 2.0 | 400 | 1.1581 |
| 1.1092 | 3.0 | 600 | 1.0468 |
| 0.9077 | 4.0 | 800 | 0.9932 |
| 0.7974 | 5.0 | 1000 | 0.9766 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for tedad09/donut-3epochs-Data3
Base model
naver-clova-ix/donut-base