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-abnormalities-classification-fold4
results: []
swin-brain-abnormalities-classification-fold4
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: 0.1851
- Accuracy: 0.9525
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8479 | 0.9714 | 17 | 0.6472 | 0.7368 |
| 0.5421 | 2.0 | 35 | 0.3346 | 0.8575 |
| 0.3307 | 2.9714 | 52 | 0.2288 | 0.9240 |
| 0.2351 | 4.0 | 70 | 0.2233 | 0.9254 |
| 0.2195 | 4.9714 | 87 | 0.2139 | 0.9322 |
| 0.1914 | 6.0 | 105 | 0.2227 | 0.9294 |
| 0.164 | 6.9714 | 122 | 0.1924 | 0.9389 |
| 0.1305 | 8.0 | 140 | 0.2340 | 0.9267 |
| 0.1526 | 8.9714 | 157 | 0.1705 | 0.9525 |
| 0.1188 | 10.0 | 175 | 0.1525 | 0.9539 |
| 0.125 | 10.9714 | 192 | 0.1693 | 0.9457 |
| 0.0927 | 12.0 | 210 | 0.1584 | 0.9552 |
| 0.0972 | 12.9714 | 227 | 0.1752 | 0.9512 |
| 0.0848 | 14.0 | 245 | 0.1806 | 0.9525 |
| 0.1119 | 14.5714 | 255 | 0.1851 | 0.9525 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0