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vit-dropout-v11
sharren/vit-dropout-v11
vit-dropout-v11 is a image classification model from sharren. 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
- Feb 27, 2024
- Updated
- Feb 27, 2024
- SHA
- a9f58422
Base models
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. -->
vit-dropout-v11
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the SkinCancerClassification dataset. It achieves the following results on the evaluation set:
- Loss: 0.5383
- Accuracy: 0.8508
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
- dropout: 0.35
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5972 | 1.56 | 500 | 0.9045 | 0.7160 |
| 0.5053 | 3.12 | 1000 | 0.6760 | 0.7566 |
| 0.5003 | 4.67 | 1500 | 0.5776 | 0.7909 |
| 0.4323 | 6.23 | 2000 | 0.5317 | 0.8084 |
| 0.417 | 7.79 | 2500 | 0.5187 | 0.8277 |
| 0.2751 | 9.35 | 3000 | 0.5660 | 0.8346 |
| 0.3664 | 10.9 | 3500 | 0.5247 | 0.8371 |
| 0.2595 | 12.46 | 4000 | 0.5358 | 0.8546 |
| 0.2009 | 14.02 | 4500 | 0.5289 | 0.8508 |
| 0.1366 | 15.58 | 5000 | 0.5383 | 0.8508 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024