DDTdonut-TeresaConFESTO-Resol918x1286
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: 0.1152
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 |
|---|---|---|---|
| 2.8853 | 1.0 | 276 | 0.8565 |
| 0.6661 | 2.0 | 552 | 0.4104 |
| 0.4218 | 3.0 | 828 | 0.2090 |
| 0.3123 | 4.0 | 1104 | 0.1899 |
| 0.2483 | 5.0 | 1380 | 0.1152 |
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 alexbeta80/DDTdonut-TeresaConFESTO-Resol918x1286
Base model
naver-clova-ix/donut-base