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---
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-fold2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-brain-plane-classification-fold2
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1926
- Accuracy: 0.9494
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.3993 | 0.8 | 3 | 1.0474 | 0.4177 |
| 0.7865 | 1.8667 | 7 | 0.6974 | 0.8291 |
| 0.5539 | 2.9333 | 11 | 0.4328 | 0.8734 |
| 0.3624 | 4.0 | 15 | 0.3230 | 0.8924 |
| 0.3935 | 4.8 | 18 | 0.2679 | 0.9051 |
| 0.2444 | 5.8667 | 22 | 0.2081 | 0.9430 |
| 0.2001 | 6.9333 | 26 | 0.1949 | 0.9430 |
| 0.1854 | 8.0 | 30 | 0.1926 | 0.9494 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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