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beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-20-40-40
ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-20-40-40
beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-20-40-40 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 11, 2023
- Updated
- Jul 11, 2023
- SHA
- f437d328
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-LungCancer-Classification-LC25000-AH-20-40-40
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: 0.0075
- Accuracy: 0.9972
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1841 | 0.99 | 46 | 0.0968 | 0.9570 |
| 0.1017 | 2.0 | 93 | 0.0328 | 0.9887 |
| 0.1037 | 2.99 | 139 | 0.0281 | 0.9891 |
| 0.1074 | 4.0 | 186 | 0.0201 | 0.9924 |
| 0.0274 | 4.95 | 230 | 0.0075 | 0.9972 |
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 11, 2023
- Updated
- Jul 11, 2023