donut-base-stnk-no-address-v3
This model is a fine-tuned version of squantumengine/donut-base-stnk-no-address-v2 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2116
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4954 | 1.0 | 3253 | 0.3898 |
| 0.3524 | 2.0 | 6506 | 0.2783 |
| 0.2498 | 3.0 | 9759 | 0.2342 |
| 0.1684 | 4.0 | 13012 | 0.2177 |
| 0.1442 | 5.0 | 16265 | 0.2116 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3
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Model tree for asrulsibaoel/donut-base-stnk-no-address-v3
Base model
squantumengine/donut-base-stnk-no-address-v2