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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 |
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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 |
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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: 0.0472 |
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- Accuracy: 0.9852 |
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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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| 1.1833 | 1.0 | 5 | 0.9676 | 0.6074 | |
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| 0.8399 | 2.0 | 10 | 0.5347 | 0.8593 | |
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| 0.5341 | 3.0 | 15 | 0.2380 | 0.9481 | |
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| 0.3583 | 4.0 | 20 | 0.1324 | 0.9630 | |
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| 0.2197 | 5.0 | 25 | 0.1311 | 0.9556 | |
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| 0.1995 | 6.0 | 30 | 0.0870 | 0.9778 | |
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| 0.1485 | 7.0 | 35 | 0.1107 | 0.9778 | |
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| 0.1689 | 8.0 | 40 | 0.0798 | 0.9778 | |
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| 0.1339 | 9.0 | 45 | 0.0588 | 0.9852 | |
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| 0.1623 | 10.0 | 50 | 0.0620 | 0.9778 | |
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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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