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-plane-classification
results: []
swin-brain-plane-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: 0.0472
- Accuracy: 0.9852
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1833 | 1.0 | 5 | 0.9676 | 0.6074 |
| 0.8399 | 2.0 | 10 | 0.5347 | 0.8593 |
| 0.5341 | 3.0 | 15 | 0.2380 | 0.9481 |
| 0.3583 | 4.0 | 20 | 0.1324 | 0.9630 |
| 0.2197 | 5.0 | 25 | 0.1311 | 0.9556 |
| 0.1995 | 6.0 | 30 | 0.0870 | 0.9778 |
| 0.1485 | 7.0 | 35 | 0.1107 | 0.9778 |
| 0.1689 | 8.0 | 40 | 0.0798 | 0.9778 |
| 0.1339 | 9.0 | 45 | 0.0588 | 0.9852 |
| 0.1623 | 10.0 | 50 | 0.0620 | 0.9778 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0