donut_employee_info_v1
This model is a fine-tuned version of naver-clova-ix/donut-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1224
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1485 | 1.25 | 50 | 0.6847 |
| 0.4124 | 2.5 | 100 | 0.2854 |
| 0.2662 | 3.75 | 150 | 0.1829 |
| 0.1875 | 5.0 | 200 | 0.1485 |
| 0.152 | 6.25 | 250 | 0.1326 |
| 0.1194 | 7.5 | 300 | 0.1360 |
| 0.1045 | 8.75 | 350 | 0.1255 |
| 0.0684 | 10.0 | 400 | 0.1224 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for accavdar/donut_employee_info_v1
Base model
naver-clova-ix/donut-base