donut-stnk-v5_4_2-left
This model is a fine-tuned version of naver-clova-ix/donut-base-finetuned-cord-v2 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1521
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: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5307 | 1.0 | 206 | 0.2188 |
0.2471 | 2.0 | 412 | 0.1535 |
0.1678 | 3.0 | 618 | 0.1577 |
0.1152 | 4.0 | 824 | 0.1521 |
0.0629 | 5.0 | 1030 | 0.1563 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
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