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README.md
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---
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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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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: swin-tiny-patch4-window7-224-finetuned-cifar10
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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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# swin-tiny-patch4-window7-224-finetuned-cifar10
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0760
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- Accuracy: 0.9758
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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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| 0.314 | 1.0 | 176 | 0.1211 | 0.9612 |
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| 0.2992 | 2.0 | 352 | 0.1186 | 0.9622 |
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| 0.3544 | 3.0 | 528 | 0.0989 | 0.968 |
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| 0.3068 | 4.0 | 704 | 0.0872 | 0.9724 |
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| 0.3421 | 5.0 | 880 | 0.0858 | 0.972 |
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| 0.2915 | 6.0 | 1056 | 0.0824 | 0.9724 |
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| 0.3051 | 7.0 | 1232 | 0.0822 | 0.974 |
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| 0.2849 | 8.0 | 1408 | 0.0770 | 0.975 |
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| 0.2661 | 9.0 | 1584 | 0.0773 | 0.9756 |
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| 0.2504 | 10.0 | 1760 | 0.0760 | 0.9758 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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