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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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