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# swin-tiny-patch4-window7-224-ve-U11-b-60

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7230
- Accuracy: 0.8043

## 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.92  | 6    | 1.3859          | 0.1304   |
| 1.3858        | 2.0   | 13   | 1.3818          | 0.2609   |
| 1.3858        | 2.92  | 19   | 1.3723          | 0.2609   |
| 1.3747        | 4.0   | 26   | 1.3355          | 0.2174   |
| 1.3001        | 4.92  | 32   | 1.2625          | 0.3696   |
| 1.3001        | 6.0   | 39   | 1.1306          | 0.4565   |
| 1.141         | 6.92  | 45   | 1.0510          | 0.4783   |
| 0.9784        | 8.0   | 52   | 0.9585          | 0.5435   |
| 0.9784        | 8.92  | 58   | 0.9895          | 0.4783   |
| 0.8533        | 10.0  | 65   | 0.9512          | 0.5      |
| 0.7564        | 10.92 | 71   | 0.9522          | 0.5217   |
| 0.7564        | 12.0  | 78   | 0.9144          | 0.5      |
| 0.6735        | 12.92 | 84   | 0.9070          | 0.6087   |
| 0.5919        | 14.0  | 91   | 0.7915          | 0.6522   |
| 0.5919        | 14.92 | 97   | 0.7989          | 0.6522   |
| 0.504         | 16.0  | 104  | 0.9510          | 0.6522   |
| 0.4422        | 16.92 | 110  | 0.8196          | 0.6739   |
| 0.4422        | 18.0  | 117  | 0.6629          | 0.7609   |
| 0.4031        | 18.92 | 123  | 0.8767          | 0.6522   |
| 0.3752        | 20.0  | 130  | 0.8253          | 0.6739   |
| 0.3752        | 20.92 | 136  | 0.7183          | 0.7391   |
| 0.3424        | 22.0  | 143  | 0.8852          | 0.6739   |
| 0.3424        | 22.92 | 149  | 0.7360          | 0.7391   |
| 0.3293        | 24.0  | 156  | 0.7230          | 0.8043   |
| 0.2822        | 24.92 | 162  | 0.8271          | 0.6957   |
| 0.2822        | 26.0  | 169  | 0.7443          | 0.8043   |
| 0.2623        | 26.92 | 175  | 0.9371          | 0.6739   |
| 0.2807        | 28.0  | 182  | 0.7392          | 0.7391   |
| 0.2807        | 28.92 | 188  | 0.8754          | 0.6739   |
| 0.223         | 30.0  | 195  | 0.7146          | 0.7826   |
| 0.2185        | 30.92 | 201  | 0.7702          | 0.7391   |
| 0.2185        | 32.0  | 208  | 0.7330          | 0.7174   |
| 0.2157        | 32.92 | 214  | 0.8817          | 0.6957   |
| 0.2011        | 34.0  | 221  | 0.7460          | 0.7174   |
| 0.2011        | 34.92 | 227  | 0.9663          | 0.6739   |
| 0.2204        | 36.0  | 234  | 0.8056          | 0.7174   |
| 0.1856        | 36.92 | 240  | 0.7799          | 0.7174   |
| 0.1856        | 38.0  | 247  | 0.8410          | 0.6957   |
| 0.1678        | 38.92 | 253  | 0.7334          | 0.7391   |
| 0.1682        | 40.0  | 260  | 0.8508          | 0.6957   |
| 0.1682        | 40.92 | 266  | 0.8106          | 0.6957   |
| 0.1638        | 42.0  | 273  | 0.8403          | 0.7174   |
| 0.1638        | 42.92 | 279  | 0.9157          | 0.6957   |
| 0.1573        | 44.0  | 286  | 0.9271          | 0.7391   |
| 0.1476        | 44.92 | 292  | 0.9167          | 0.7174   |
| 0.1476        | 46.0  | 299  | 0.9309          | 0.7174   |
| 0.1466        | 46.92 | 305  | 0.8236          | 0.7826   |
| 0.1457        | 48.0  | 312  | 0.8835          | 0.7826   |
| 0.1457        | 48.92 | 318  | 0.9162          | 0.7391   |
| 0.1625        | 50.0  | 325  | 0.8969          | 0.7391   |
| 0.1163        | 50.92 | 331  | 0.9183          | 0.7391   |
| 0.1163        | 52.0  | 338  | 0.9173          | 0.7391   |
| 0.1375        | 52.92 | 344  | 0.8886          | 0.7609   |
| 0.1379        | 54.0  | 351  | 0.8771          | 0.7391   |
| 0.1379        | 54.92 | 357  | 0.8857          | 0.7391   |
| 0.1321        | 55.38 | 360  | 0.8884          | 0.7391   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0

avanzada leve moderada no dmae