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--- |
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library_name: transformers |
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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-brain-plane-classification-fold3 |
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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-brain-plane-classification-fold3 |
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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: 0.0892 |
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- Accuracy: 0.9873 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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| 1.2983 | 0.8 | 3 | 0.9322 | 0.6306 | |
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| 0.6876 | 1.8667 | 7 | 0.4608 | 0.9045 | |
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| 0.4407 | 2.9333 | 11 | 0.2557 | 0.9490 | |
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| 0.3328 | 4.0 | 15 | 0.1691 | 0.9427 | |
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| 0.3564 | 4.8 | 18 | 0.1325 | 0.9682 | |
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| 0.1984 | 5.8667 | 22 | 0.1049 | 0.9809 | |
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| 0.1741 | 6.9333 | 26 | 0.0946 | 0.9873 | |
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| 0.1698 | 8.0 | 30 | 0.0892 | 0.9873 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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