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--- |
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base_model: squantumengine/donut-base-stnk-no-address-v2 |
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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-stnk-no-address-v3 |
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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-stnk-no-address-v3 |
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This model is a fine-tuned version of [squantumengine/donut-base-stnk-no-address-v2](https://huggingface.co/squantumengine/donut-base-stnk-no-address-v2) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2116 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.4954 | 1.0 | 3253 | 0.3898 | |
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| 0.3524 | 2.0 | 6506 | 0.2783 | |
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| 0.2498 | 3.0 | 9759 | 0.2342 | |
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| 0.1684 | 4.0 | 13012 | 0.2177 | |
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| 0.1442 | 5.0 | 16265 | 0.2116 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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