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isic2018-melanoma2
oscar2525mv/isic2018-melanoma2
isic2018-melanoma2 is a image classification model from oscar2525mv. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026
- SHA
- 7fcb9dec
Base models
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
isic2018-melanoma2
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2808
- Auc: 0.9117
- Accuracy: 0.9048
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Auc | Accuracy |
|---|---|---|---|---|---|
| 0.2605 | 1.0 | 533 | 0.2609 | 0.8921 | 0.8934 |
| 0.2047 | 2.0 | 1066 | 0.2860 | 0.8984 | 0.8893 |
| 0.1801 | 3.0 | 1599 | 0.2611 | 0.9063 | 0.9027 |
| 0.1509 | 4.0 | 2132 | 0.2720 | 0.9104 | 0.8974 |
| 0.1424 | 5.0 | 2665 | 0.2808 | 0.9117 | 0.9048 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026