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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-annoted |
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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-annoted |
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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: 0.6158 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.157 | 1.0 | 141 | 2.3659 | |
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| 1.3408 | 2.0 | 282 | 1.3562 | |
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| 0.935 | 3.0 | 423 | 1.0435 | |
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| 0.7753 | 4.0 | 564 | 0.8945 | |
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| 0.5065 | 5.0 | 705 | 0.8036 | |
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| 0.3419 | 6.0 | 846 | 0.7376 | |
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| 0.528 | 7.0 | 987 | 0.6872 | |
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| 0.178 | 8.0 | 1128 | 0.6792 | |
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| 0.1445 | 9.0 | 1269 | 0.6317 | |
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| 0.1702 | 10.0 | 1410 | 0.6233 | |
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| 0.0889 | 11.0 | 1551 | 0.6199 | |
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| 0.378 | 12.0 | 1692 | 0.6158 | |
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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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