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# jaffe_V2_200_1

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3747
- Accuracy: 0.9

## 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: 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 2.4997          | 0.0667   |
| No log        | 2.0   | 2    | 2.6037          | 0.1      |
| No log        | 3.0   | 3    | 2.3924          | 0.0667   |
| No log        | 4.0   | 4    | 2.3152          | 0.1      |
| No log        | 5.0   | 5    | 2.1146          | 0.1667   |
| No log        | 6.0   | 6    | 2.1610          | 0.2333   |
| No log        | 7.0   | 7    | 2.1346          | 0.1333   |
| No log        | 8.0   | 8    | 2.1400          | 0.1      |
| No log        | 9.0   | 9    | 2.1422          | 0.0667   |
| 2.3217        | 10.0  | 10   | 2.0948          | 0.1333   |
| 2.3217        | 11.0  | 11   | 2.0994          | 0.2      |
| 2.3217        | 12.0  | 12   | 1.8570          | 0.3333   |
| 2.3217        | 13.0  | 13   | 1.9750          | 0.2667   |
| 2.3217        | 14.0  | 14   | 1.8089          | 0.3      |
| 2.3217        | 15.0  | 15   | 1.8738          | 0.3      |
| 2.3217        | 16.0  | 16   | 1.7751          | 0.3333   |
| 2.3217        | 17.0  | 17   | 1.7744          | 0.2      |
| 2.3217        | 18.0  | 18   | 1.7998          | 0.3333   |
| 2.3217        | 19.0  | 19   | 1.7048          | 0.2667   |
| 1.798         | 20.0  | 20   | 1.6367          | 0.4      |
| 1.798         | 21.0  | 21   | 1.6092          | 0.3      |
| 1.798         | 22.0  | 22   | 1.5605          | 0.3667   |
| 1.798         | 23.0  | 23   | 1.4219          | 0.5      |
| 1.798         | 24.0  | 24   | 1.5037          | 0.4      |
| 1.798         | 25.0  | 25   | 1.3966          | 0.4333   |
| 1.798         | 26.0  | 26   | 1.4327          | 0.4      |
| 1.798         | 27.0  | 27   | 1.3484          | 0.4      |
| 1.798         | 28.0  | 28   | 1.3958          | 0.4      |
| 1.798         | 29.0  | 29   | 1.2789          | 0.4667   |
| 1.1133        | 30.0  | 30   | 1.2002          | 0.4333   |
| 1.1133        | 31.0  | 31   | 1.1080          | 0.4667   |
| 1.1133        | 32.0  | 32   | 0.9814          | 0.6      |
| 1.1133        | 33.0  | 33   | 1.0498          | 0.5667   |
| 1.1133        | 34.0  | 34   | 0.9709          | 0.6333   |
| 1.1133        | 35.0  | 35   | 0.9985          | 0.5333   |
| 1.1133        | 36.0  | 36   | 0.8779          | 0.6667   |
| 1.1133        | 37.0  | 37   | 0.7959          | 0.7      |
| 1.1133        | 38.0  | 38   | 0.7583          | 0.7      |
| 1.1133        | 39.0  | 39   | 1.0074          | 0.5667   |
| 0.5945        | 40.0  | 40   | 0.6441          | 0.6667   |
| 0.5945        | 41.0  | 41   | 0.7701          | 0.6667   |
| 0.5945        | 42.0  | 42   | 0.8433          | 0.6667   |
| 0.5945        | 43.0  | 43   | 0.7998          | 0.6667   |
| 0.5945        | 44.0  | 44   | 0.7087          | 0.7      |
| 0.5945        | 45.0  | 45   | 0.5793          | 0.8333   |
| 0.5945        | 46.0  | 46   | 0.5024          | 0.8      |
| 0.5945        | 47.0  | 47   | 0.8088          | 0.7      |
| 0.5945        | 48.0  | 48   | 0.7690          | 0.7      |
| 0.5945        | 49.0  | 49   | 0.8561          | 0.6667   |
| 0.3008        | 50.0  | 50   | 0.4728          | 0.8667   |
| 0.3008        | 51.0  | 51   | 0.5935          | 0.6667   |
| 0.3008        | 52.0  | 52   | 0.3772          | 0.9      |
| 0.3008        | 53.0  | 53   | 0.6337          | 0.6333   |
| 0.3008        | 54.0  | 54   | 0.6097          | 0.7      |
| 0.3008        | 55.0  | 55   | 0.4838          | 0.8333   |
| 0.3008        | 56.0  | 56   | 0.5487          | 0.8333   |
| 0.3008        | 57.0  | 57   | 0.5395          | 0.8      |
| 0.3008        | 58.0  | 58   | 0.5078          | 0.7667   |
| 0.3008        | 59.0  | 59   | 0.4211          | 0.8      |
| 0.1792        | 60.0  | 60   | 0.4578          | 0.8333   |
| 0.1792        | 61.0  | 61   | 0.4603          | 0.8333   |
| 0.1792        | 62.0  | 62   | 0.2765          | 0.9      |
| 0.1792        | 63.0  | 63   | 0.6634          | 0.7333   |
| 0.1792        | 64.0  | 64   | 0.3247          | 0.9      |
| 0.1792        | 65.0  | 65   | 0.6290          | 0.6667   |
| 0.1792        | 66.0  | 66   | 0.5741          | 0.8      |
| 0.1792        | 67.0  | 67   | 0.3994          | 0.8333   |
| 0.1792        | 68.0  | 68   | 0.4273          | 0.8333   |
| 0.1792        | 69.0  | 69   | 0.4240          | 0.7333   |
| 0.1158        | 70.0  | 70   | 0.4269          | 0.8333   |
| 0.1158        | 71.0  | 71   | 0.4764          | 0.8333   |
| 0.1158        | 72.0  | 72   | 0.3892          | 0.8667   |
| 0.1158        | 73.0  | 73   | 0.5258          | 0.8      |
| 0.1158        | 74.0  | 74   | 0.3253          | 0.8333   |
| 0.1158        | 75.0  | 75   | 0.5055          | 0.7667   |
| 0.1158        | 76.0  | 76   | 0.6183          | 0.7667   |
| 0.1158        | 77.0  | 77   | 0.3801          | 0.9      |
| 0.1158        | 78.0  | 78   | 0.5568          | 0.7333   |
| 0.1158        | 79.0  | 79   | 0.3794          | 0.8333   |
| 0.0936        | 80.0  | 80   | 0.2896          | 0.9      |
| 0.0936        | 81.0  | 81   | 0.5924          | 0.7667   |
| 0.0936        | 82.0  | 82   | 0.5123          | 0.8333   |
| 0.0936        | 83.0  | 83   | 0.6333          | 0.8      |
| 0.0936        | 84.0  | 84   | 0.4452          | 0.7333   |
| 0.0936        | 85.0  | 85   | 0.4296          | 0.8333   |
| 0.0936        | 86.0  | 86   | 0.3000          | 0.8667   |
| 0.0936        | 87.0  | 87   | 0.3882          | 0.8667   |
| 0.0936        | 88.0  | 88   | 0.5478          | 0.7333   |
| 0.0936        | 89.0  | 89   | 0.3075          | 0.8667   |
| 0.0473        | 90.0  | 90   | 0.5298          | 0.8      |
| 0.0473        | 91.0  | 91   | 0.6640          | 0.7333   |
| 0.0473        | 92.0  | 92   | 0.4580          | 0.8333   |
| 0.0473        | 93.0  | 93   | 0.5458          | 0.7333   |
| 0.0473        | 94.0  | 94   | 0.4686          | 0.8333   |
| 0.0473        | 95.0  | 95   | 0.2982          | 0.8333   |
| 0.0473        | 96.0  | 96   | 0.4537          | 0.8333   |
| 0.0473        | 97.0  | 97   | 0.3308          | 0.8667   |
| 0.0473        | 98.0  | 98   | 0.4839          | 0.8      |
| 0.0473        | 99.0  | 99   | 0.4554          | 0.8      |
| 0.0443        | 100.0 | 100  | 0.2150          | 0.9667   |
| 0.0443        | 101.0 | 101  | 0.3185          | 0.9333   |
| 0.0443        | 102.0 | 102  | 0.2575          | 0.9      |
| 0.0443        | 103.0 | 103  | 0.3313          | 0.8667   |
| 0.0443        | 104.0 | 104  | 0.4836          | 0.8333   |
| 0.0443        | 105.0 | 105  | 0.3910          | 0.8667   |
| 0.0443        | 106.0 | 106  | 0.5569          | 0.8333   |
| 0.0443        | 107.0 | 107  | 0.4688          | 0.8667   |
| 0.0443        | 108.0 | 108  | 0.2292          | 0.9333   |
| 0.0443        | 109.0 | 109  | 0.4958          | 0.8      |
| 0.0353        | 110.0 | 110  | 0.3628          | 0.9      |
| 0.0353        | 111.0 | 111  | 0.6191          | 0.7333   |
| 0.0353        | 112.0 | 112  | 0.5096          | 0.8      |
| 0.0353        | 113.0 | 113  | 0.3478          | 0.9      |
| 0.0353        | 114.0 | 114  | 0.3585          | 0.8667   |
| 0.0353        | 115.0 | 115  | 0.3859          | 0.8      |
| 0.0353        | 116.0 | 116  | 0.3952          | 0.8333   |
| 0.0353        | 117.0 | 117  | 0.4491          | 0.8333   |
| 0.0353        | 118.0 | 118  | 0.4710          | 0.8      |
| 0.0353        | 119.0 | 119  | 0.5375          | 0.8      |
| 0.0292        | 120.0 | 120  | 0.6853          | 0.8333   |
| 0.0292        | 121.0 | 121  | 0.4836          | 0.8      |
| 0.0292        | 122.0 | 122  | 0.5246          | 0.8      |
| 0.0292        | 123.0 | 123  | 0.4446          | 0.8667   |
| 0.0292        | 124.0 | 124  | 0.4238          | 0.8      |
| 0.0292        | 125.0 | 125  | 0.3543          | 0.8333   |
| 0.0292        | 126.0 | 126  | 0.2007          | 0.9333   |
| 0.0292        | 127.0 | 127  | 0.2274          | 0.9333   |
| 0.0292        | 128.0 | 128  | 0.3778          | 0.8333   |
| 0.0292        | 129.0 | 129  | 0.4544          | 0.8333   |
| 0.0296        | 130.0 | 130  | 0.2613          | 0.8667   |
| 0.0296        | 131.0 | 131  | 0.3248          | 0.9      |
| 0.0296        | 132.0 | 132  | 0.4552          | 0.8      |
| 0.0296        | 133.0 | 133  | 0.4356          | 0.8333   |
| 0.0296        | 134.0 | 134  | 0.3427          | 0.9      |
| 0.0296        | 135.0 | 135  | 0.1513          | 1.0      |
| 0.0296        | 136.0 | 136  | 0.3139          | 0.8333   |
| 0.0296        | 137.0 | 137  | 0.3094          | 0.9      |
| 0.0296        | 138.0 | 138  | 0.3401          | 0.8667   |
| 0.0296        | 139.0 | 139  | 0.4339          | 0.9333   |
| 0.0178        | 140.0 | 140  | 0.2465          | 0.9      |
| 0.0178        | 141.0 | 141  | 0.4604          | 0.8667   |
| 0.0178        | 142.0 | 142  | 0.4860          | 0.8      |
| 0.0178        | 143.0 | 143  | 0.3710          | 0.8333   |
| 0.0178        | 144.0 | 144  | 0.4719          | 0.8333   |
| 0.0178        | 145.0 | 145  | 0.3030          | 0.9333   |
| 0.0178        | 146.0 | 146  | 0.6212          | 0.7667   |
| 0.0178        | 147.0 | 147  | 0.2716          | 0.9      |
| 0.0178        | 148.0 | 148  | 0.4297          | 0.8333   |
| 0.0178        | 149.0 | 149  | 0.3456          | 0.8333   |
| 0.0103        | 150.0 | 150  | 0.4718          | 0.8667   |
| 0.0103        | 151.0 | 151  | 0.3841          | 0.8333   |
| 0.0103        | 152.0 | 152  | 0.4124          | 0.9333   |
| 0.0103        | 153.0 | 153  | 0.2595          | 0.9333   |
| 0.0103        | 154.0 | 154  | 0.2666          | 0.8667   |
| 0.0103        | 155.0 | 155  | 0.4872          | 0.7333   |
| 0.0103        | 156.0 | 156  | 0.4039          | 0.8333   |
| 0.0103        | 157.0 | 157  | 0.3004          | 0.8667   |
| 0.0103        | 158.0 | 158  | 0.3021          | 0.9      |
| 0.0103        | 159.0 | 159  | 0.4477          | 0.9      |
| 0.0075        | 160.0 | 160  | 0.3548          | 0.9333   |
| 0.0075        | 161.0 | 161  | 0.2648          | 0.9333   |
| 0.0075        | 162.0 | 162  | 0.3269          | 0.9333   |
| 0.0075        | 163.0 | 163  | 0.5231          | 0.8      |
| 0.0075        | 164.0 | 164  | 0.2841          | 0.8667   |
| 0.0075        | 165.0 | 165  | 0.3145          | 0.9      |
| 0.0075        | 166.0 | 166  | 0.4291          | 0.8667   |
| 0.0075        | 167.0 | 167  | 0.5396          | 0.8333   |
| 0.0075        | 168.0 | 168  | 0.3873          | 0.9      |
| 0.0075        | 169.0 | 169  | 0.3150          | 0.9333   |
| 0.0062        | 170.0 | 170  | 0.3809          | 0.9      |
| 0.0062        | 171.0 | 171  | 0.2062          | 0.9      |
| 0.0062        | 172.0 | 172  | 0.3242          | 0.8667   |
| 0.0062        | 173.0 | 173  | 0.3500          | 0.9      |
| 0.0062        | 174.0 | 174  | 0.2784          | 0.9      |
| 0.0062        | 175.0 | 175  | 0.2553          | 0.8667   |
| 0.0062        | 176.0 | 176  | 0.4475          | 0.9      |
| 0.0062        | 177.0 | 177  | 0.3598          | 0.9333   |
| 0.0062        | 178.0 | 178  | 0.3488          | 0.8333   |
| 0.0062        | 179.0 | 179  | 0.2966          | 0.8333   |
| 0.0056        | 180.0 | 180  | 0.4635          | 0.8      |
| 0.0056        | 181.0 | 181  | 0.2402          | 0.9      |
| 0.0056        | 182.0 | 182  | 0.3984          | 0.8667   |
| 0.0056        | 183.0 | 183  | 0.2032          | 0.9      |
| 0.0056        | 184.0 | 184  | 0.2633          | 0.8333   |
| 0.0056        | 185.0 | 185  | 0.3015          | 0.9333   |
| 0.0056        | 186.0 | 186  | 0.3774          | 0.9      |
| 0.0056        | 187.0 | 187  | 0.5716          | 0.8333   |
| 0.0056        | 188.0 | 188  | 0.3961          | 0.8667   |
| 0.0056        | 189.0 | 189  | 0.3915          | 0.9      |
| 0.0048        | 190.0 | 190  | 0.3788          | 0.8333   |
| 0.0048        | 191.0 | 191  | 0.4823          | 0.8667   |
| 0.0048        | 192.0 | 192  | 0.3158          | 0.8667   |
| 0.0048        | 193.0 | 193  | 0.2184          | 0.8667   |
| 0.0048        | 194.0 | 194  | 0.3363          | 0.8667   |
| 0.0048        | 195.0 | 195  | 0.3996          | 0.9      |
| 0.0048        | 196.0 | 196  | 0.2263          | 0.8333   |
| 0.0048        | 197.0 | 197  | 0.4634          | 0.8333   |
| 0.0048        | 198.0 | 198  | 0.3492          | 0.8667   |
| 0.0048        | 199.0 | 199  | 0.3086          | 0.9      |
| 0.0034        | 200.0 | 200  | 0.3747          | 0.9      |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0

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