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beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20
ALM-AHME/beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20
beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20 is a image classification model from ALM-AHME. 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
- beit
- Access
- Public
- Created
- Jul 7, 2023
- Updated
- Jul 7, 2023
- SHA
- 63db5e65
Datasets
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. -->
beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20
This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0434
- Accuracy: 0.9908
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9688 | 1.0 | 122 | 1.8425 | 0.2775 |
| 1.4822 | 2.0 | 244 | 1.3833 | 0.5457 |
| 1.1239 | 3.0 | 366 | 0.9321 | 0.6680 |
| 0.8686 | 4.0 | 488 | 0.6691 | 0.7698 |
| 0.5234 | 5.0 | 610 | 0.4872 | 0.8335 |
| 0.5246 | 6.0 | 732 | 0.3586 | 0.8736 |
| 0.3691 | 7.0 | 854 | 0.3134 | 0.8993 |
| 0.4708 | 8.0 | 976 | 0.2069 | 0.9394 |
| 0.1694 | 9.0 | 1098 | 0.1832 | 0.9414 |
| 0.2749 | 10.0 | 1220 | 0.1198 | 0.9640 |
| 0.1777 | 11.0 | 1342 | 0.0845 | 0.9733 |
| 0.1529 | 12.0 | 1464 | 0.0434 | 0.9908 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Jul 7, 2023
- Updated
- Jul 7, 2023