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# swin-tiny-patch4-window7-224-dmae-va-da2-80

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: 0.2098
- Accuracy: 0.9483

## 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: 80

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.94  | 4    | 1.3020          | 0.3793   |
| No log        | 1.88  | 8    | 1.2779          | 0.3966   |
| 1.3725        | 2.82  | 12   | 1.3148          | 0.3276   |
| 1.3725        | 4.0   | 17   | 1.3035          | 0.3793   |
| 1.202         | 4.94  | 21   | 1.1813          | 0.4828   |
| 1.202         | 5.88  | 25   | 1.0447          | 0.5172   |
| 1.202         | 6.82  | 29   | 1.0149          | 0.5172   |
| 1.0137        | 8.0   | 34   | 0.9113          | 0.5345   |
| 1.0137        | 8.94  | 38   | 0.8100          | 0.5690   |
| 0.7855        | 9.88  | 42   | 0.7788          | 0.6552   |
| 0.7855        | 10.82 | 46   | 0.6669          | 0.6724   |
| 0.6434        | 12.0  | 51   | 0.6208          | 0.7586   |
| 0.6434        | 12.94 | 55   | 0.5012          | 0.8276   |
| 0.6434        | 13.88 | 59   | 0.5190          | 0.8276   |
| 0.5249        | 14.82 | 63   | 0.5358          | 0.7759   |
| 0.5249        | 16.0  | 68   | 0.4111          | 0.8448   |
| 0.4479        | 16.94 | 72   | 0.4384          | 0.8103   |
| 0.4479        | 17.88 | 76   | 0.3855          | 0.8448   |
| 0.3549        | 18.82 | 80   | 0.4300          | 0.8103   |
| 0.3549        | 20.0  | 85   | 0.3456          | 0.8793   |
| 0.3549        | 20.94 | 89   | 0.2936          | 0.8966   |
| 0.3078        | 21.88 | 93   | 0.3196          | 0.9138   |
| 0.3078        | 22.82 | 97   | 0.3426          | 0.8966   |
| 0.3084        | 24.0  | 102  | 0.2944          | 0.8966   |
| 0.3084        | 24.94 | 106  | 0.3100          | 0.8966   |
| 0.2515        | 25.88 | 110  | 0.2952          | 0.8793   |
| 0.2515        | 26.82 | 114  | 0.2951          | 0.8621   |
| 0.2515        | 28.0  | 119  | 0.3316          | 0.8966   |
| 0.23          | 28.94 | 123  | 0.3052          | 0.8793   |
| 0.23          | 29.88 | 127  | 0.3799          | 0.8621   |
| 0.2139        | 30.82 | 131  | 0.3239          | 0.8793   |
| 0.2139        | 32.0  | 136  | 0.3369          | 0.8793   |
| 0.2048        | 32.94 | 140  | 0.2550          | 0.9310   |
| 0.2048        | 33.88 | 144  | 0.1913          | 0.8966   |
| 0.2048        | 34.82 | 148  | 0.3013          | 0.9138   |
| 0.189         | 36.0  | 153  | 0.2098          | 0.9483   |
| 0.189         | 36.94 | 157  | 0.1898          | 0.9310   |
| 0.1821        | 37.88 | 161  | 0.3412          | 0.8621   |
| 0.1821        | 38.82 | 165  | 0.3009          | 0.8793   |
| 0.1815        | 40.0  | 170  | 0.1856          | 0.9310   |
| 0.1815        | 40.94 | 174  | 0.1899          | 0.9310   |
| 0.1815        | 41.88 | 178  | 0.2124          | 0.9310   |
| 0.1396        | 42.82 | 182  | 0.2113          | 0.8966   |
| 0.1396        | 44.0  | 187  | 0.1331          | 0.9483   |
| 0.1571        | 44.94 | 191  | 0.2087          | 0.9310   |
| 0.1571        | 45.88 | 195  | 0.2447          | 0.9310   |
| 0.1571        | 46.82 | 199  | 0.1935          | 0.9483   |
| 0.1454        | 48.0  | 204  | 0.2409          | 0.9310   |
| 0.1454        | 48.94 | 208  | 0.2427          | 0.9310   |
| 0.1389        | 49.88 | 212  | 0.2864          | 0.9138   |
| 0.1389        | 50.82 | 216  | 0.3099          | 0.9138   |
| 0.1182        | 52.0  | 221  | 0.2566          | 0.9138   |
| 0.1182        | 52.94 | 225  | 0.2442          | 0.9138   |
| 0.1182        | 53.88 | 229  | 0.2263          | 0.9310   |
| 0.1411        | 54.82 | 233  | 0.2366          | 0.9138   |
| 0.1411        | 56.0  | 238  | 0.1764          | 0.9483   |
| 0.1023        | 56.94 | 242  | 0.1281          | 0.9310   |
| 0.1023        | 57.88 | 246  | 0.1593          | 0.9483   |
| 0.1198        | 58.82 | 250  | 0.2230          | 0.9310   |
| 0.1198        | 60.0  | 255  | 0.1710          | 0.9310   |
| 0.1198        | 60.94 | 259  | 0.1543          | 0.9483   |
| 0.0966        | 61.88 | 263  | 0.1757          | 0.9310   |
| 0.0966        | 62.82 | 267  | 0.1813          | 0.9138   |
| 0.1209        | 64.0  | 272  | 0.1941          | 0.9138   |
| 0.1209        | 64.94 | 276  | 0.1982          | 0.9310   |
| 0.107         | 65.88 | 280  | 0.2108          | 0.9310   |
| 0.107         | 66.82 | 284  | 0.2435          | 0.9310   |
| 0.107         | 68.0  | 289  | 0.2253          | 0.9310   |
| 0.0981        | 68.94 | 293  | 0.2033          | 0.9310   |
| 0.0981        | 69.88 | 297  | 0.1985          | 0.9310   |
| 0.1205        | 70.82 | 301  | 0.1905          | 0.9310   |
| 0.1205        | 72.0  | 306  | 0.1732          | 0.9483   |
| 0.129         | 72.94 | 310  | 0.1672          | 0.9483   |
| 0.129         | 73.88 | 314  | 0.1616          | 0.9483   |
| 0.129         | 74.82 | 318  | 0.1606          | 0.9483   |
| 0.1066        | 75.29 | 320  | 0.1608          | 0.9483   |


### 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-da2-80", "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