metadata
license: apache-2.0
base_model: microsoft/beit-large-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
results: []
beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0298
- Accuracy: 0.9934
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: 15
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.5462 | 1.0 | 199 | 0.7931 | 0.4728 |
| 0.2496 | 2.0 | 398 | 0.9185 | 0.2074 |
| 0.2173 | 3.0 | 597 | 0.9486 | 0.1305 |
| 0.1009 | 4.0 | 796 | 0.9623 | 0.0964 |
| 0.1528 | 5.0 | 995 | 0.9717 | 0.0662 |
| 0.0893 | 6.0 | 1194 | 0.9774 | 0.0549 |
| 0.0786 | 7.0 | 1393 | 0.9802 | 0.0505 |
| 0.0254 | 8.0 | 1592 | 0.0643 | 0.9783 |
| 0.1112 | 9.0 | 1791 | 0.0311 | 0.9915 |
| 0.0428 | 10.0 | 1990 | 0.0484 | 0.9802 |
| 0.0842 | 11.0 | 2189 | 0.0482 | 0.9863 |
| 0.0129 | 12.0 | 2388 | 0.0372 | 0.9896 |
| 0.1463 | 13.0 | 2587 | 0.0404 | 0.9882 |
| 0.0582 | 14.0 | 2786 | 0.0589 | 0.9821 |
| 0.0063 | 15.0 | 2985 | 0.0298 | 0.9934 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3