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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-full_text_wt_val_1008 |
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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-full_text_wt_val_1008 |
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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: 0.1215 |
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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: 10 |
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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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| 0.3636 | 1.0 | 504 | 0.2522 | |
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| 0.2144 | 2.0 | 1008 | 0.1862 | |
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| 0.1898 | 3.0 | 1512 | 0.1540 | |
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| 0.0952 | 4.0 | 2016 | 0.1459 | |
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| 0.1096 | 5.0 | 2520 | 0.1319 | |
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| 0.0742 | 6.0 | 3024 | 0.1265 | |
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| 0.074 | 7.0 | 3528 | 0.1240 | |
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| 0.0692 | 8.0 | 4032 | 0.1209 | |
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| 0.0671 | 9.0 | 4536 | 0.1218 | |
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| 0.0376 | 10.0 | 5040 | 0.1215 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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