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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-vishnu2 |
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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-vishnu2 |
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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: 1.6822 |
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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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| 3.5134 | 1.0 | 137 | 2.8022 | |
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| 3.0637 | 2.0 | 274 | 1.8503 | |
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| 0.9705 | 3.0 | 411 | 1.6708 | |
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| 0.889 | 4.0 | 548 | 1.5365 | |
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| 0.3093 | 5.0 | 685 | 1.5766 | |
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| 0.1843 | 6.0 | 822 | 1.4999 | |
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| 0.7406 | 7.0 | 959 | 1.4946 | |
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| 2.8585 | 8.0 | 1096 | 1.5358 | |
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| 0.8517 | 9.0 | 1233 | 1.6042 | |
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| 0.7837 | 10.0 | 1370 | 1.6064 | |
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| 0.4483 | 11.0 | 1507 | 1.6338 | |
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| 0.5618 | 12.0 | 1644 | 1.6822 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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