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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_sm_type1_04-12-23 |
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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_sm_type1_04-12-23 |
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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: 0.1251 |
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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: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5232 | 1.0 | 200 | 0.2651 | |
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| 0.3372 | 2.0 | 400 | 0.1358 | |
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| 0.0603 | 3.0 | 600 | 0.1150 | |
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| 0.0727 | 4.0 | 800 | 0.1130 | |
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| 0.0231 | 5.0 | 1000 | 0.1195 | |
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| 0.0318 | 6.0 | 1200 | 0.1229 | |
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| 0.0118 | 7.0 | 1400 | 0.1243 | |
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| 0.0153 | 8.0 | 1600 | 0.1469 | |
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| 0.0152 | 9.0 | 1800 | 0.1251 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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