beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30
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: 0.0474
- Accuracy: 0.9805
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: 0.0005
- 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 |
|---|---|---|---|---|
| 0.2312 | 0.99 | 93 | 0.1822 | 0.9453 |
| 0.3817 | 1.99 | 187 | 0.2106 | 0.9183 |
| 0.2217 | 3.0 | 281 | 0.1902 | 0.9285 |
| 0.1667 | 4.0 | 375 | 0.1127 | 0.9584 |
| 0.0572 | 4.96 | 465 | 0.0474 | 0.9805 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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