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# cvt-13-normal

This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0613
- Accuracy: 0.7790

## 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: 0.0005
- train_batch_size: 142
- eval_batch_size: 142
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 568
- optimizer: Use 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: 0.1
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 0.8652          | 0.7946   |
| 2.3799        | 2.0   | 14   | 0.8683          | 0.7912   |
| 2.4491        | 3.0   | 21   | 0.8807          | 0.7825   |
| 2.4491        | 4.0   | 28   | 0.9120          | 0.7851   |
| 2.3011        | 5.0   | 35   | 0.9865          | 0.7565   |
| 2.5444        | 6.0   | 42   | 0.9863          | 0.7643   |
| 2.5444        | 7.0   | 49   | 1.1580          | 0.7513   |
| 2.4127        | 8.0   | 56   | 1.1091          | 0.7383   |
| 2.8757        | 9.0   | 63   | 1.0644          | 0.7496   |
| 2.5231        | 10.0  | 70   | 1.0888          | 0.7400   |
| 2.5231        | 11.0  | 77   | 1.0668          | 0.7548   |
| 2.7538        | 12.0  | 84   | 1.0946          | 0.7435   |
| 2.7032        | 13.0  | 91   | 1.0676          | 0.7608   |
| 2.7032        | 14.0  | 98   | 1.0409          | 0.7426   |
| 2.4581        | 15.0  | 105  | 1.0679          | 0.7548   |
| 2.7023        | 16.0  | 112  | 1.0129          | 0.7487   |
| 2.7023        | 17.0  | 119  | 1.1501          | 0.7366   |
| 2.5456        | 18.0  | 126  | 1.0452          | 0.7426   |
| 2.7061        | 19.0  | 133  | 1.0034          | 0.7565   |
| 2.3491        | 20.0  | 140  | 1.0389          | 0.7574   |
| 2.3491        | 21.0  | 147  | 0.9999          | 0.7782   |
| 2.4926        | 22.0  | 154  | 1.0131          | 0.7652   |
| 2.5111        | 23.0  | 161  | 1.0940          | 0.7340   |
| 2.5111        | 24.0  | 168  | 1.0786          | 0.7582   |
| 2.3443        | 25.0  | 175  | 1.0768          | 0.7617   |
| 2.5738        | 26.0  | 182  | 0.9781          | 0.7782   |
| 2.5738        | 27.0  | 189  | 0.9955          | 0.7574   |
| 2.3528        | 28.0  | 196  | 1.0117          | 0.7669   |
| 2.599         | 29.0  | 203  | 1.0806          | 0.7660   |
| 2.3279        | 30.0  | 210  | 1.0101          | 0.7738   |
| 2.3279        | 31.0  | 217  | 1.0981          | 0.7617   |
| 2.5649        | 32.0  | 224  | 1.0185          | 0.7782   |
| 2.5432        | 33.0  | 231  | 1.1070          | 0.7591   |
| 2.5432        | 34.0  | 238  | 1.0705          | 0.7626   |
| 2.3521        | 35.0  | 245  | 1.0749          | 0.7574   |
| 2.5948        | 36.0  | 252  | 1.0508          | 0.7626   |
| 2.5948        | 37.0  | 259  | 1.0374          | 0.7712   |
| 2.3305        | 38.0  | 266  | 1.0249          | 0.7643   |
| 2.4833        | 39.0  | 273  | 1.0345          | 0.7712   |
| 2.1504        | 40.0  | 280  | 1.0252          | 0.7617   |
| 2.1504        | 41.0  | 287  | 1.0361          | 0.7574   |
| 2.4083        | 42.0  | 294  | 0.9939          | 0.7678   |
| 2.37          | 43.0  | 301  | 1.0186          | 0.7695   |
| 2.37          | 44.0  | 308  | 1.0861          | 0.7643   |
| 2.2043        | 45.0  | 315  | 1.0182          | 0.7643   |
| 2.3554        | 46.0  | 322  | 1.0584          | 0.7539   |
| 2.3554        | 47.0  | 329  | 1.0541          | 0.7617   |
| 2.1541        | 48.0  | 336  | 1.0967          | 0.7686   |
| 2.3739        | 49.0  | 343  | 1.1266          | 0.7721   |
| 2.1028        | 50.0  | 350  | 1.1116          | 0.7652   |
| 2.1028        | 51.0  | 357  | 1.0804          | 0.7643   |
| 2.3381        | 52.0  | 364  | 1.1142          | 0.7556   |
| 2.2902        | 53.0  | 371  | 1.1135          | 0.7652   |
| 2.2902        | 54.0  | 378  | 1.1024          | 0.7461   |
| 2.2452        | 55.0  | 385  | 1.0722          | 0.7626   |
| 2.4121        | 56.0  | 392  | 1.1089          | 0.7704   |
| 2.4121        | 57.0  | 399  | 1.0923          | 0.7548   |
| 2.2067        | 58.0  | 406  | 1.0811          | 0.7591   |
| 2.3894        | 59.0  | 413  | 1.1097          | 0.7634   |
| 2.2188        | 60.0  | 420  | 1.0988          | 0.7643   |
| 2.2188        | 61.0  | 427  | 1.0558          | 0.7686   |
| 2.2859        | 62.0  | 434  | 1.0569          | 0.7695   |
| 2.2293        | 63.0  | 441  | 1.1053          | 0.7643   |
| 2.2293        | 64.0  | 448  | 1.0962          | 0.7652   |
| 2.136         | 65.0  | 455  | 1.0505          | 0.7756   |
| 2.2507        | 66.0  | 462  | 1.0425          | 0.7799   |
| 2.2507        | 67.0  | 469  | 1.0703          | 0.7756   |
| 2.0269        | 68.0  | 476  | 1.0826          | 0.7695   |
| 2.2972        | 69.0  | 483  | 1.0569          | 0.7747   |
| 2.0192        | 70.0  | 490  | 1.0773          | 0.7695   |
| 2.0192        | 71.0  | 497  | 1.1000          | 0.7669   |
| 2.3668        | 72.0  | 504  | 1.1048          | 0.7712   |
| 2.1285        | 73.0  | 511  | 1.0883          | 0.7712   |
| 2.1285        | 74.0  | 518  | 1.0893          | 0.7738   |
| 2.0487        | 75.0  | 525  | 1.0644          | 0.7799   |
| 2.2508        | 76.0  | 532  | 1.0686          | 0.7764   |
| 2.2508        | 77.0  | 539  | 1.0759          | 0.7764   |
| 2.0141        | 78.0  | 546  | 1.0673          | 0.7756   |
| 2.1662        | 79.0  | 553  | 1.0610          | 0.7842   |
| 2.0567        | 80.0  | 560  | 1.0571          | 0.7851   |
| 2.0567        | 81.0  | 567  | 1.0682          | 0.7799   |
| 2.2602        | 82.0  | 574  | 1.0700          | 0.7782   |
| 2.3018        | 83.0  | 581  | 1.0703          | 0.7790   |
| 2.3018        | 84.0  | 588  | 1.0597          | 0.7825   |
| 2.0309        | 85.0  | 595  | 1.0560          | 0.7825   |
| 2.108         | 85.8  | 600  | 1.0613          | 0.7790   |


### Framework versions

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

circulación prohibida circular por carriles de circulación reservada estacionar en carril-taxi o en carril-bus estacionar en el centro de la calzada estacionar en espacio reservado estacionar en espacio reservado para personas de movilidad reducida estacionar en espacio reservado para vehículo eléctrico, sin tener esa condición estacionar en intersección estacionar en lugar prohibido por línea amarilla discontinua estacionar en lugar prohibido por línea amarilla en zig-zag estacionar en un carril bici estacionar en un lugar donde se impide la retirada o vaciado de contenedores estacionar en vado señalizado estacionar en zonas de carga y descarga estacionar o parar donde está prohibida la parada por la señal vertical correspondiente estacionar o parar en doble fila estacionar o parar en paso para peatones estacionar o parar en un lugar prohibido por linea amarilla continua estacionar o parar sobre acera estacionar o parar un vehículo en rebaje en la acera para disminuidos físicos estacionar un vehículo en zonas señalizadas con franjas en el pavimento (isleta)