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-fold3
results: []
swin-brain-abnormalities-classification-fold3
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: 0.1552
- Accuracy: 0.9566
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 |
|---|---|---|---|---|
| 0.9031 | 0.9714 | 17 | 0.6752 | 0.7286 |
| 0.5553 | 2.0 | 35 | 0.3278 | 0.8806 |
| 0.3599 | 2.9714 | 52 | 0.2776 | 0.8942 |
| 0.3013 | 4.0 | 70 | 0.1906 | 0.9281 |
| 0.2276 | 4.9714 | 87 | 0.1999 | 0.9335 |
| 0.1906 | 6.0 | 105 | 0.1566 | 0.9430 |
| 0.1736 | 6.9714 | 122 | 0.1731 | 0.9403 |
| 0.1593 | 8.0 | 140 | 0.1662 | 0.9444 |
| 0.1318 | 8.9714 | 157 | 0.1761 | 0.9417 |
| 0.1117 | 10.0 | 175 | 0.1714 | 0.9403 |
| 0.1335 | 10.9714 | 192 | 0.1594 | 0.9525 |
| 0.0996 | 12.0 | 210 | 0.1820 | 0.9417 |
| 0.0954 | 12.9714 | 227 | 0.1528 | 0.9539 |
| 0.0913 | 14.0 | 245 | 0.1547 | 0.9566 |
| 0.0878 | 14.5714 | 255 | 0.1552 | 0.9566 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0