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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/swinv2-base-patch4-window12-192-22k |
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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: swinv2-base |
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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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# swinv2-base |
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1570 |
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- Accuracy: 0.9577 |
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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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| 1.1001 | 1.0 | 240 | 1.0510 | 0.5701 | |
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| 0.7709 | 2.0 | 480 | 0.7516 | 0.7091 | |
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| 0.5077 | 3.0 | 720 | 0.5670 | 0.7953 | |
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| 0.2908 | 4.0 | 960 | 0.3946 | 0.8650 | |
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| 0.1676 | 5.0 | 1200 | 0.2796 | 0.9038 | |
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| 0.117 | 6.0 | 1440 | 0.2322 | 0.9275 | |
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| 0.0634 | 7.0 | 1680 | 0.2433 | 0.9306 | |
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| 0.0425 | 8.0 | 1920 | 0.1843 | 0.9490 | |
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| 0.0252 | 9.0 | 2160 | 0.1653 | 0.9543 | |
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| 0.0147 | 10.0 | 2400 | 0.1570 | 0.9577 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Tokenizers 0.19.1 |
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