metadata
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-brain-tumor-type-classification
results: []
swin-brain-tumor-type-classification
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2978
- Accuracy: 0.9081
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4824 | 1.0 | 21 | 2.2558 | 0.2420 |
| 2.1213 | 2.0 | 42 | 1.8165 | 0.4170 |
| 1.6613 | 3.0 | 63 | 1.3678 | 0.5671 |
| 1.3237 | 4.0 | 84 | 1.1940 | 0.6060 |
| 1.1543 | 5.0 | 105 | 0.9205 | 0.7049 |
| 0.9317 | 6.0 | 126 | 0.8121 | 0.7314 |
| 0.7891 | 7.0 | 147 | 0.6553 | 0.7986 |
| 0.6812 | 8.0 | 168 | 0.5720 | 0.8180 |
| 0.6348 | 9.0 | 189 | 0.5364 | 0.8180 |
| 0.5488 | 10.0 | 210 | 0.4780 | 0.8428 |
| 0.505 | 11.0 | 231 | 0.4540 | 0.8569 |
| 0.4758 | 12.0 | 252 | 0.3992 | 0.8852 |
| 0.4306 | 13.0 | 273 | 0.4280 | 0.8675 |
| 0.3952 | 14.0 | 294 | 0.4019 | 0.8781 |
| 0.3726 | 15.0 | 315 | 0.3794 | 0.8763 |
| 0.3191 | 16.0 | 336 | 0.3482 | 0.8958 |
| 0.3014 | 17.0 | 357 | 0.3372 | 0.8940 |
| 0.2785 | 18.0 | 378 | 0.3472 | 0.8993 |
| 0.2948 | 19.0 | 399 | 0.3246 | 0.9064 |
| 0.2618 | 20.0 | 420 | 0.3060 | 0.9081 |
| 0.2705 | 21.0 | 441 | 0.3122 | 0.9046 |
| 0.2479 | 22.0 | 462 | 0.3061 | 0.9028 |
| 0.2411 | 23.0 | 483 | 0.3040 | 0.9099 |
| 0.2556 | 24.0 | 504 | 0.2990 | 0.9099 |
| 0.2413 | 25.0 | 525 | 0.2978 | 0.9081 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0