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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft |
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tags: |
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- image-classification |
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- vision |
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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-windturbine |
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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-windturbine |
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This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the sees-ml-skunkworks/windturbinedataset-cleaned dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0337 |
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- Accuracy: 0.9857 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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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- num_epochs: 5.0 |
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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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| 0.0604 | 1.0 | 197 | 0.0459 | 0.9892 | |
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| 0.1309 | 2.0 | 394 | 0.0337 | 0.9857 | |
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| 0.3207 | 3.0 | 591 | 0.1261 | 0.9785 | |
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| 0.2517 | 4.0 | 788 | 0.0491 | 0.9928 | |
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| 0.1549 | 5.0 | 985 | 0.0472 | 0.9964 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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