
<!-- 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. -->

# swinv2-tiny-patch4-window8-256-dmae-humeda-DAV20

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5291
- Accuracy: 0.6923

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 3.1476        | 1.0     | 22   | 1.5220          | 0.3462   |
| 3.0161        | 2.0     | 44   | 1.4201          | 0.4231   |
| 2.6066        | 3.0     | 66   | 1.2502          | 0.4615   |
| 1.9733        | 4.0     | 88   | 1.0608          | 0.5385   |
| 1.5227        | 5.0     | 110  | 0.9184          | 0.6538   |
| 1.1822        | 6.0     | 132  | 0.9237          | 0.6538   |
| 1.0809        | 7.0     | 154  | 0.9022          | 0.6346   |
| 0.8904        | 8.0     | 176  | 0.8389          | 0.7308   |
| 0.8172        | 9.0     | 198  | 0.8809          | 0.6731   |
| 0.6112        | 10.0    | 220  | 0.9043          | 0.7308   |
| 0.5935        | 11.0    | 242  | 1.2283          | 0.5769   |
| 0.4656        | 12.0    | 264  | 0.8913          | 0.7308   |
| 0.5363        | 13.0    | 286  | 0.8755          | 0.7308   |
| 0.4195        | 14.0    | 308  | 0.9897          | 0.6538   |
| 0.3861        | 15.0    | 330  | 0.9968          | 0.6923   |
| 0.3865        | 16.0    | 352  | 1.2396          | 0.6154   |
| 0.3542        | 17.0    | 374  | 1.0785          | 0.6538   |
| 0.3784        | 18.0    | 396  | 0.9859          | 0.7115   |
| 0.2699        | 19.0    | 418  | 1.1501          | 0.7115   |
| 0.2161        | 20.0    | 440  | 1.1033          | 0.6538   |
| 0.2629        | 21.0    | 462  | 1.1783          | 0.6923   |
| 0.2898        | 22.0    | 484  | 1.0924          | 0.7308   |
| 0.2589        | 23.0    | 506  | 1.1429          | 0.7115   |
| 0.2096        | 24.0    | 528  | 1.1767          | 0.6731   |
| 0.2235        | 25.0    | 550  | 1.3683          | 0.6346   |
| 0.1683        | 26.0    | 572  | 1.0724          | 0.75     |
| 0.2041        | 27.0    | 594  | 1.2481          | 0.75     |
| 0.2238        | 28.0    | 616  | 1.3583          | 0.6923   |
| 0.218         | 29.0    | 638  | 1.1183          | 0.7115   |
| 0.1971        | 30.0    | 660  | 1.1319          | 0.6923   |
| 0.1732        | 31.0    | 682  | 1.2364          | 0.6731   |
| 0.1551        | 32.0    | 704  | 1.2510          | 0.6731   |
| 0.1977        | 33.0    | 726  | 1.3023          | 0.6731   |
| 0.2059        | 34.0    | 748  | 1.3325          | 0.7115   |
| 0.1637        | 35.0    | 770  | 1.2952          | 0.7308   |
| 0.1517        | 36.0    | 792  | 1.3332          | 0.6923   |
| 0.1035        | 37.0    | 814  | 1.3744          | 0.7115   |
| 0.1696        | 38.0    | 836  | 1.4287          | 0.7308   |
| 0.1186        | 39.0    | 858  | 1.4970          | 0.6923   |
| 0.1338        | 40.0    | 880  | 1.4538          | 0.7115   |
| 0.1309        | 41.0    | 902  | 1.4894          | 0.6923   |
| 0.0998        | 42.0    | 924  | 1.4104          | 0.6923   |
| 0.1794        | 43.0    | 946  | 1.4863          | 0.7115   |
| 0.1529        | 44.0    | 968  | 1.5677          | 0.7115   |
| 0.1656        | 45.0    | 990  | 1.5333          | 0.6731   |
| 0.124         | 46.0    | 1012 | 1.5137          | 0.6923   |
| 0.1227        | 47.0    | 1034 | 1.5245          | 0.6923   |
| 0.115         | 47.7442 | 1050 | 1.5291          | 0.6923   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0

avanzada avanzada humeda leve moderada no dmae