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--- |
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license: mit |
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base_model: naver-clova-ix/donut-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: donut-base-sroie |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# donut-base-sroie |
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This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8229 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.1301 | 1.0 | 73 | 4.2545 | |
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| 1.8221 | 2.0 | 146 | 2.3995 | |
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| 0.9406 | 3.0 | 219 | 1.9901 | |
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| 1.3708 | 4.0 | 292 | 1.7363 | |
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| 0.9771 | 5.0 | 365 | 1.6777 | |
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| 0.5417 | 6.0 | 438 | 1.6835 | |
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| 0.9799 | 7.0 | 511 | 1.6810 | |
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| 0.8556 | 8.0 | 584 | 1.6444 | |
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| 0.4318 | 9.0 | 657 | 1.6896 | |
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| 0.3058 | 10.0 | 730 | 1.7384 | |
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| 0.6697 | 11.0 | 803 | 1.7513 | |
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| 0.3883 | 12.0 | 876 | 1.7887 | |
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| 0.166 | 13.0 | 949 | 1.8229 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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