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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-base3-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-base3-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: 1.8932 |
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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: 3 |
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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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| 6.4525 | 1.0 | 49 | 5.8289 | |
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| 3.7395 | 2.0 | 98 | 3.4073 | |
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| 3.093 | 3.0 | 147 | 2.8774 | |
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| 3.5816 | 4.0 | 196 | 2.5408 | |
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| 2.2642 | 5.0 | 245 | 2.3801 | |
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| 2.0238 | 6.0 | 294 | 2.1951 | |
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| 1.7201 | 7.0 | 343 | 2.1006 | |
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| 1.5596 | 8.0 | 392 | 2.0265 | |
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| 2.0967 | 9.0 | 441 | 1.9439 | |
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| 1.9109 | 10.0 | 490 | 1.9280 | |
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| 1.5129 | 11.0 | 539 | 1.9024 | |
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| 1.5883 | 12.0 | 588 | 1.8932 | |
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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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