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--- |
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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-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-base-sroie |
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This model was trained from scratch on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.7016 |
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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: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 9.5672 | 1.0 | 3 | 8.6900 | |
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| 9.2165 | 2.0 | 6 | 8.1679 | |
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| 8.6254 | 3.0 | 9 | 8.8826 | |
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| 8.5961 | 4.0 | 12 | 7.9094 | |
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| 8.0975 | 5.0 | 15 | 7.6390 | |
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| 8.0688 | 6.0 | 18 | 7.3710 | |
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| 7.8179 | 7.0 | 21 | 7.1756 | |
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| 7.4056 | 8.0 | 24 | 7.1199 | |
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| 7.2254 | 9.0 | 27 | 6.8964 | |
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| 7.1395 | 10.0 | 30 | 6.8406 | |
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| 7.2451 | 11.0 | 33 | 6.5694 | |
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| 6.8052 | 12.0 | 36 | 6.7802 | |
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| 6.8587 | 13.0 | 39 | 6.3983 | |
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| 6.6803 | 14.0 | 42 | 6.3614 | |
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| 6.5832 | 15.0 | 45 | 6.2045 | |
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| 6.3016 | 16.0 | 48 | 6.3187 | |
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| 6.3266 | 17.0 | 51 | 6.1394 | |
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| 6.2154 | 18.0 | 54 | 5.9751 | |
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| 6.0545 | 19.0 | 57 | 5.9170 | |
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| 6.0753 | 20.0 | 60 | 5.9828 | |
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| 6.0034 | 21.0 | 63 | 5.9600 | |
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| 6.0545 | 22.0 | 66 | 5.8052 | |
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| 5.8055 | 23.0 | 69 | 5.7358 | |
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| 5.7705 | 24.0 | 72 | 5.6998 | |
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| 5.8007 | 25.0 | 75 | 5.7016 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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