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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-tiny-patch4-window16-256 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: patacoswin_v2 |
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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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# patacoswin_v2 |
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0328 |
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- Accuracy: 0.9910 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6055 | 0.95 | 13 | 0.2709 | 0.9615 | |
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| 0.2812 | 1.96 | 27 | 0.0866 | 0.9683 | |
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| 0.1426 | 2.98 | 41 | 0.0584 | 0.9796 | |
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| 0.07 | 4.0 | 55 | 0.0268 | 0.9932 | |
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| 0.0579 | 4.95 | 68 | 0.0451 | 0.9864 | |
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| 0.091 | 5.96 | 82 | 0.0300 | 0.9887 | |
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| 0.0247 | 6.98 | 96 | 0.0387 | 0.9864 | |
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| 0.0323 | 8.0 | 110 | 0.0456 | 0.9887 | |
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| 0.032 | 8.95 | 123 | 0.0475 | 0.9864 | |
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| 0.0187 | 9.45 | 130 | 0.0328 | 0.9910 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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