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: 0.2385
- Accuracy: 0.9328
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: 35
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.6739 | 1.0 | 19 | 2.4239 | 0.1978 |
| 2.2793 | 2.0 | 38 | 2.1011 | 0.3619 |
| 1.9273 | 3.0 | 57 | 1.6876 | 0.4963 |
| 1.5549 | 4.0 | 76 | 1.3626 | 0.5709 |
| 1.2386 | 5.0 | 95 | 1.1268 | 0.6269 |
| 1.1004 | 6.0 | 114 | 0.9445 | 0.7015 |
| 0.9008 | 7.0 | 133 | 0.8701 | 0.7313 |
| 0.8023 | 8.0 | 152 | 0.7917 | 0.7425 |
| 0.6566 | 9.0 | 171 | 0.6990 | 0.7612 |
| 0.6691 | 10.0 | 190 | 0.6204 | 0.7985 |
| 0.5605 | 11.0 | 209 | 0.5511 | 0.8321 |
| 0.5472 | 12.0 | 228 | 0.4945 | 0.8358 |
| 0.5098 | 13.0 | 247 | 0.4302 | 0.8619 |
| 0.4362 | 14.0 | 266 | 0.4027 | 0.8843 |
| 0.416 | 15.0 | 285 | 0.3956 | 0.8657 |
| 0.4095 | 16.0 | 304 | 0.3605 | 0.8881 |
| 0.3577 | 17.0 | 323 | 0.3339 | 0.8918 |
| 0.3624 | 18.0 | 342 | 0.3883 | 0.8694 |
| 0.304 | 19.0 | 361 | 0.3496 | 0.8769 |
| 0.2784 | 20.0 | 380 | 0.3275 | 0.8806 |
| 0.2763 | 21.0 | 399 | 0.3721 | 0.8806 |
| 0.2824 | 22.0 | 418 | 0.3156 | 0.8955 |
| 0.2453 | 23.0 | 437 | 0.3155 | 0.8843 |
| 0.2438 | 24.0 | 456 | 0.2928 | 0.9030 |
| 0.2285 | 25.0 | 475 | 0.2667 | 0.9216 |
| 0.2478 | 26.0 | 494 | 0.2816 | 0.9142 |
| 0.2242 | 27.0 | 513 | 0.2768 | 0.8993 |
| 0.2 | 28.0 | 532 | 0.2815 | 0.9142 |
| 0.2076 | 29.0 | 551 | 0.2443 | 0.9216 |
| 0.1978 | 30.0 | 570 | 0.2381 | 0.9216 |
| 0.1821 | 31.0 | 589 | 0.2563 | 0.9216 |
| 0.1786 | 32.0 | 608 | 0.2449 | 0.9254 |
| 0.1809 | 33.0 | 627 | 0.2385 | 0.9328 |
| 0.1812 | 34.0 | 646 | 0.2448 | 0.9291 |
| 0.1688 | 35.0 | 665 | 0.2446 | 0.9291 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0