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# deit-base-distilled-patch16-224-75-fold2

This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2625
- Accuracy: 0.9302

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 2    | 0.8815          | 0.4419   |
| No log        | 2.0   | 4    | 0.6436          | 0.6977   |
| No log        | 3.0   | 6    | 0.8488          | 0.6977   |
| No log        | 4.0   | 8    | 0.8219          | 0.6977   |
| 0.6918        | 5.0   | 10   | 0.5491          | 0.6977   |
| 0.6918        | 6.0   | 12   | 0.4603          | 0.7209   |
| 0.6918        | 7.0   | 14   | 0.5602          | 0.7442   |
| 0.6918        | 8.0   | 16   | 0.5694          | 0.7442   |
| 0.6918        | 9.0   | 18   | 0.4430          | 0.8140   |
| 0.3867        | 10.0  | 20   | 0.3880          | 0.8605   |
| 0.3867        | 11.0  | 22   | 0.5069          | 0.8140   |
| 0.3867        | 12.0  | 24   | 0.3739          | 0.8605   |
| 0.3867        | 13.0  | 26   | 0.2981          | 0.8837   |
| 0.3867        | 14.0  | 28   | 0.3170          | 0.8837   |
| 0.2722        | 15.0  | 30   | 0.2511          | 0.8837   |
| 0.2722        | 16.0  | 32   | 0.2408          | 0.8837   |
| 0.2722        | 17.0  | 34   | 0.3751          | 0.8605   |
| 0.2722        | 18.0  | 36   | 0.3081          | 0.8605   |
| 0.2722        | 19.0  | 38   | 0.2489          | 0.8837   |
| 0.209         | 20.0  | 40   | 0.2802          | 0.8837   |
| 0.209         | 21.0  | 42   | 0.2625          | 0.9302   |
| 0.209         | 22.0  | 44   | 0.2595          | 0.9302   |
| 0.209         | 23.0  | 46   | 0.5048          | 0.8372   |
| 0.209         | 24.0  | 48   | 0.2880          | 0.8605   |
| 0.2027        | 25.0  | 50   | 0.2860          | 0.8372   |
| 0.2027        | 26.0  | 52   | 0.4067          | 0.8372   |
| 0.2027        | 27.0  | 54   | 0.2462          | 0.9070   |
| 0.2027        | 28.0  | 56   | 0.2753          | 0.9070   |
| 0.2027        | 29.0  | 58   | 0.3699          | 0.8140   |
| 0.1426        | 30.0  | 60   | 0.4983          | 0.8372   |
| 0.1426        | 31.0  | 62   | 0.3140          | 0.8605   |
| 0.1426        | 32.0  | 64   | 0.3470          | 0.8372   |
| 0.1426        | 33.0  | 66   | 0.4443          | 0.8372   |
| 0.1426        | 34.0  | 68   | 0.2583          | 0.8837   |
| 0.1385        | 35.0  | 70   | 0.2239          | 0.9302   |
| 0.1385        | 36.0  | 72   | 0.2708          | 0.9070   |
| 0.1385        | 37.0  | 74   | 0.2660          | 0.9070   |
| 0.1385        | 38.0  | 76   | 0.2754          | 0.9070   |
| 0.1385        | 39.0  | 78   | 0.4246          | 0.8605   |
| 0.1202        | 40.0  | 80   | 0.2779          | 0.9070   |
| 0.1202        | 41.0  | 82   | 0.2726          | 0.8837   |
| 0.1202        | 42.0  | 84   | 0.2536          | 0.9070   |
| 0.1202        | 43.0  | 86   | 0.2667          | 0.9302   |
| 0.1202        | 44.0  | 88   | 0.4191          | 0.8837   |
| 0.1211        | 45.0  | 90   | 0.3213          | 0.9302   |
| 0.1211        | 46.0  | 92   | 0.2290          | 0.9070   |
| 0.1211        | 47.0  | 94   | 0.3043          | 0.8837   |
| 0.1211        | 48.0  | 96   | 0.1906          | 0.9302   |
| 0.1211        | 49.0  | 98   | 0.3201          | 0.8605   |
| 0.1067        | 50.0  | 100  | 0.3062          | 0.8837   |
| 0.1067        | 51.0  | 102  | 0.2047          | 0.9302   |
| 0.1067        | 52.0  | 104  | 0.2116          | 0.9070   |
| 0.1067        | 53.0  | 106  | 0.2113          | 0.9302   |
| 0.1067        | 54.0  | 108  | 0.2340          | 0.9302   |
| 0.0826        | 55.0  | 110  | 0.2328          | 0.9302   |
| 0.0826        | 56.0  | 112  | 0.2824          | 0.8837   |
| 0.0826        | 57.0  | 114  | 0.2921          | 0.8837   |
| 0.0826        | 58.0  | 116  | 0.2608          | 0.9302   |
| 0.0826        | 59.0  | 118  | 0.2650          | 0.9302   |
| 0.0894        | 60.0  | 120  | 0.2878          | 0.9070   |
| 0.0894        | 61.0  | 122  | 0.2935          | 0.9070   |
| 0.0894        | 62.0  | 124  | 0.2656          | 0.9302   |
| 0.0894        | 63.0  | 126  | 0.3438          | 0.9070   |
| 0.0894        | 64.0  | 128  | 0.2840          | 0.9302   |
| 0.0964        | 65.0  | 130  | 0.2711          | 0.9070   |
| 0.0964        | 66.0  | 132  | 0.2888          | 0.9070   |
| 0.0964        | 67.0  | 134  | 0.2723          | 0.9070   |
| 0.0964        | 68.0  | 136  | 0.2563          | 0.8837   |
| 0.0964        | 69.0  | 138  | 0.2336          | 0.9302   |
| 0.0711        | 70.0  | 140  | 0.2386          | 0.9302   |
| 0.0711        | 71.0  | 142  | 0.2482          | 0.9070   |
| 0.0711        | 72.0  | 144  | 0.2821          | 0.9070   |
| 0.0711        | 73.0  | 146  | 0.2941          | 0.8837   |
| 0.0711        | 74.0  | 148  | 0.2564          | 0.9070   |
| 0.0824        | 75.0  | 150  | 0.2509          | 0.9302   |
| 0.0824        | 76.0  | 152  | 0.2544          | 0.9302   |
| 0.0824        | 77.0  | 154  | 0.2474          | 0.9302   |
| 0.0824        | 78.0  | 156  | 0.2375          | 0.9302   |
| 0.0824        | 79.0  | 158  | 0.2389          | 0.9302   |
| 0.0691        | 80.0  | 160  | 0.2371          | 0.9302   |
| 0.0691        | 81.0  | 162  | 0.2393          | 0.9302   |
| 0.0691        | 82.0  | 164  | 0.2523          | 0.9070   |
| 0.0691        | 83.0  | 166  | 0.2677          | 0.8837   |
| 0.0691        | 84.0  | 168  | 0.2945          | 0.8837   |
| 0.0638        | 85.0  | 170  | 0.3245          | 0.8605   |
| 0.0638        | 86.0  | 172  | 0.2960          | 0.8837   |
| 0.0638        | 87.0  | 174  | 0.2658          | 0.9302   |
| 0.0638        | 88.0  | 176  | 0.2614          | 0.9302   |
| 0.0638        | 89.0  | 178  | 0.2613          | 0.9302   |
| 0.0705        | 90.0  | 180  | 0.2549          | 0.9302   |
| 0.0705        | 91.0  | 182  | 0.2510          | 0.9302   |
| 0.0705        | 92.0  | 184  | 0.2514          | 0.9302   |
| 0.0705        | 93.0  | 186  | 0.2522          | 0.9302   |
| 0.0705        | 94.0  | 188  | 0.2504          | 0.9070   |
| 0.0666        | 95.0  | 190  | 0.2459          | 0.9302   |
| 0.0666        | 96.0  | 192  | 0.2424          | 0.9302   |
| 0.0666        | 97.0  | 194  | 0.2428          | 0.9302   |
| 0.0666        | 98.0  | 196  | 0.2451          | 0.9302   |
| 0.0666        | 99.0  | 198  | 0.2471          | 0.9302   |
| 0.0566        | 100.0 | 200  | 0.2482          | 0.9302   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

hasta normal