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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-base-patch4-window8-256 |
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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-patch4-window8-256-isic217 |
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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-patch4-window8-256-isic217 |
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1588 |
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- Accuracy: 0.65 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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| 2.1681 | 0.9888 | 22 | 2.0018 | 0.25 | |
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| 1.9254 | 1.9775 | 44 | 1.7653 | 0.35 | |
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| 1.6706 | 2.9663 | 66 | 1.6649 | 0.6 | |
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| 1.2834 | 4.0 | 89 | 1.5579 | 0.5 | |
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| 1.2039 | 4.9888 | 111 | 1.4087 | 0.55 | |
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| 0.9395 | 5.9775 | 133 | 1.3115 | 0.5 | |
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| 0.7532 | 6.9663 | 155 | 1.3599 | 0.6 | |
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| 0.6573 | 8.0 | 178 | 1.1588 | 0.65 | |
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| 0.6663 | 8.9888 | 200 | 1.2074 | 0.6 | |
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| 0.4686 | 9.8876 | 220 | 1.2285 | 0.6 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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