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# swin-tiny-patch4-window7-224-dmae-va-da2-40

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: 0.3718
- Accuracy: 0.8966

## 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.94  | 4    | 1.3103          | 0.3621   |
| No log        | 1.88  | 8    | 1.2844          | 0.3276   |
| 1.3144        | 2.82  | 12   | 1.2575          | 0.4138   |
| 1.3144        | 4.0   | 17   | 1.1181          | 0.5      |
| 1.1723        | 4.94  | 21   | 1.0054          | 0.5345   |
| 1.1723        | 5.88  | 25   | 0.8771          | 0.5690   |
| 1.1723        | 6.82  | 29   | 0.7941          | 0.7069   |
| 0.9243        | 8.0   | 34   | 0.7038          | 0.6724   |
| 0.9243        | 8.94  | 38   | 0.7341          | 0.7241   |
| 0.7394        | 9.88  | 42   | 0.6256          | 0.7414   |
| 0.7394        | 10.82 | 46   | 0.6059          | 0.7586   |
| 0.627         | 12.0  | 51   | 0.5662          | 0.7414   |
| 0.627         | 12.94 | 55   | 0.5384          | 0.7931   |
| 0.627         | 13.88 | 59   | 0.5631          | 0.7759   |
| 0.5026        | 14.82 | 63   | 0.4938          | 0.8103   |
| 0.5026        | 16.0  | 68   | 0.4768          | 0.8448   |
| 0.4284        | 16.94 | 72   | 0.4083          | 0.8621   |
| 0.4284        | 17.88 | 76   | 0.3942          | 0.8276   |
| 0.3922        | 18.82 | 80   | 0.3760          | 0.8621   |
| 0.3922        | 20.0  | 85   | 0.4109          | 0.8276   |
| 0.3922        | 20.94 | 89   | 0.3852          | 0.8621   |
| 0.3927        | 21.88 | 93   | 0.3661          | 0.8621   |
| 0.3927        | 22.82 | 97   | 0.3930          | 0.8793   |
| 0.3338        | 24.0  | 102  | 0.3586          | 0.8621   |
| 0.3338        | 24.94 | 106  | 0.3607          | 0.8621   |
| 0.2698        | 25.88 | 110  | 0.3718          | 0.8966   |
| 0.2698        | 26.82 | 114  | 0.3502          | 0.8793   |
| 0.2698        | 28.0  | 119  | 0.3614          | 0.8448   |
| 0.2707        | 28.94 | 123  | 0.3537          | 0.8621   |
| 0.2707        | 29.88 | 127  | 0.3545          | 0.8793   |
| 0.2622        | 30.82 | 131  | 0.3202          | 0.8793   |
| 0.2622        | 32.0  | 136  | 0.3125          | 0.8793   |
| 0.2499        | 32.94 | 140  | 0.3215          | 0.8621   |
| 0.2499        | 33.88 | 144  | 0.3194          | 0.8621   |
| 0.2499        | 34.82 | 148  | 0.3066          | 0.8793   |
| 0.2157        | 36.0  | 153  | 0.3024          | 0.8793   |
| 0.2157        | 36.94 | 157  | 0.3037          | 0.8793   |
| 0.2248        | 37.65 | 160  | 0.3035          | 0.8793   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-dmae-va-da2-40", "results": []}]}
transformers tensorboard safetensors swin image-classification generated_from_trainer base_model:microsoft/swin-tiny-patch4-window7-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us