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# 60-tiny_tobacco3482

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1098
- Accuracy: 0.79
- Brier Loss: 0.4604
- Nll: 0.9058
- F1 Micro: 0.79
- F1 Macro: 0.7539
- Ece: 0.4083
- Aurc: 0.0644

## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- 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 | Brier Loss | Nll    | F1 Micro | F1 Macro | Ece    | Aurc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
| No log        | 1.0   | 7    | 1.9988          | 0.16     | 1.0265     | 8.4697 | 0.16     | 0.0543   | 0.3527 | 0.8493 |
| No log        | 2.0   | 14   | 0.9241          | 0.1      | 0.9095     | 7.2634 | 0.1000   | 0.0853   | 0.2311 | 0.8707 |
| No log        | 3.0   | 21   | 0.5325          | 0.29     | 0.8525     | 5.4845 | 0.29     | 0.1287   | 0.2809 | 0.6344 |
| No log        | 4.0   | 28   | 0.4050          | 0.36     | 0.7891     | 3.8464 | 0.36     | 0.2714   | 0.2948 | 0.4598 |
| No log        | 5.0   | 35   | 0.3282          | 0.495    | 0.7189     | 2.5837 | 0.495    | 0.3741   | 0.3317 | 0.3367 |
| No log        | 6.0   | 42   | 0.2722          | 0.585    | 0.6827     | 2.2625 | 0.585    | 0.4818   | 0.3751 | 0.2241 |
| No log        | 7.0   | 49   | 0.2426          | 0.605    | 0.6424     | 2.0945 | 0.605    | 0.4641   | 0.3516 | 0.2034 |
| No log        | 8.0   | 56   | 0.2223          | 0.685    | 0.6171     | 1.9679 | 0.685    | 0.5711   | 0.4148 | 0.1545 |
| No log        | 9.0   | 63   | 0.1939          | 0.67     | 0.5684     | 1.8320 | 0.67     | 0.5495   | 0.3460 | 0.1438 |
| No log        | 10.0  | 70   | 0.1950          | 0.695    | 0.5454     | 1.3666 | 0.695    | 0.5750   | 0.3667 | 0.1276 |
| No log        | 11.0  | 77   | 0.1838          | 0.69     | 0.5436     | 1.4378 | 0.69     | 0.5745   | 0.3846 | 0.1162 |
| No log        | 12.0  | 84   | 0.1787          | 0.735    | 0.5138     | 1.4550 | 0.735    | 0.6490   | 0.3893 | 0.0949 |
| No log        | 13.0  | 91   | 0.1682          | 0.74     | 0.5209     | 1.6406 | 0.74     | 0.6452   | 0.3904 | 0.1052 |
| No log        | 14.0  | 98   | 0.1734          | 0.75     | 0.5420     | 1.4280 | 0.75     | 0.6656   | 0.4440 | 0.0864 |
| No log        | 15.0  | 105  | 0.1404          | 0.725    | 0.4961     | 1.3478 | 0.7250   | 0.6343   | 0.3816 | 0.0895 |
| No log        | 16.0  | 112  | 0.1439          | 0.76     | 0.4709     | 1.4366 | 0.76     | 0.6679   | 0.3721 | 0.0754 |
| No log        | 17.0  | 119  | 0.1356          | 0.74     | 0.4745     | 1.3609 | 0.74     | 0.6596   | 0.3643 | 0.0868 |
| No log        | 18.0  | 126  | 0.1373          | 0.75     | 0.4760     | 1.4421 | 0.75     | 0.6703   | 0.3773 | 0.0783 |
| No log        | 19.0  | 133  | 0.1352          | 0.765    | 0.4851     | 1.1693 | 0.765    | 0.6803   | 0.3952 | 0.0693 |
| No log        | 20.0  | 140  | 0.1323          | 0.765    | 0.4838     | 1.0026 | 0.765    | 0.6844   | 0.3866 | 0.0741 |
| No log        | 21.0  | 147  | 0.1334          | 0.785    | 0.4713     | 1.1479 | 0.785    | 0.7430   | 0.4105 | 0.0737 |
| No log        | 22.0  | 154  | 0.1267          | 0.775    | 0.4706     | 1.1082 | 0.775    | 0.7355   | 0.3838 | 0.0727 |
| No log        | 23.0  | 161  | 0.1279          | 0.77     | 0.4598     | 1.0869 | 0.7700   | 0.7254   | 0.3846 | 0.0732 |
| No log        | 24.0  | 168  | 0.1229          | 0.805    | 0.4838     | 1.0060 | 0.805    | 0.7635   | 0.4268 | 0.0625 |
| No log        | 25.0  | 175  | 0.1250          | 0.79     | 0.4740     | 0.9769 | 0.79     | 0.7462   | 0.3898 | 0.0684 |
| No log        | 26.0  | 182  | 0.1371          | 0.795    | 0.4784     | 1.1316 | 0.795    | 0.7641   | 0.4246 | 0.0732 |
| No log        | 27.0  | 189  | 0.1230          | 0.77     | 0.4625     | 0.9606 | 0.7700   | 0.7185   | 0.3816 | 0.0712 |
| No log        | 28.0  | 196  | 0.1161          | 0.775    | 0.4661     | 0.9889 | 0.775    | 0.7375   | 0.3925 | 0.0658 |
| No log        | 29.0  | 203  | 0.1194          | 0.775    | 0.4688     | 1.0280 | 0.775    | 0.7320   | 0.4087 | 0.0709 |
| No log        | 30.0  | 210  | 0.1211          | 0.795    | 0.4680     | 1.0785 | 0.795    | 0.7677   | 0.4168 | 0.0671 |
| No log        | 31.0  | 217  | 0.1208          | 0.79     | 0.4629     | 0.9986 | 0.79     | 0.7536   | 0.3892 | 0.0658 |
| No log        | 32.0  | 224  | 0.1194          | 0.77     | 0.4588     | 0.9202 | 0.7700   | 0.7313   | 0.3791 | 0.0679 |
| No log        | 33.0  | 231  | 0.1167          | 0.795    | 0.4567     | 0.9374 | 0.795    | 0.7602   | 0.3852 | 0.0668 |
| No log        | 34.0  | 238  | 0.1205          | 0.77     | 0.4653     | 0.9700 | 0.7700   | 0.7291   | 0.3829 | 0.0721 |
| No log        | 35.0  | 245  | 0.1179          | 0.77     | 0.4616     | 0.9313 | 0.7700   | 0.7366   | 0.3797 | 0.0724 |
| No log        | 36.0  | 252  | 0.1155          | 0.78     | 0.4566     | 0.9870 | 0.78     | 0.7391   | 0.3718 | 0.0661 |
| No log        | 37.0  | 259  | 0.1151          | 0.785    | 0.4614     | 0.8936 | 0.785    | 0.7455   | 0.4010 | 0.0684 |
| No log        | 38.0  | 266  | 0.1126          | 0.78     | 0.4588     | 0.9190 | 0.78     | 0.7406   | 0.3874 | 0.0669 |
| No log        | 39.0  | 273  | 0.1139          | 0.78     | 0.4637     | 0.9150 | 0.78     | 0.7408   | 0.3874 | 0.0708 |
| No log        | 40.0  | 280  | 0.1138          | 0.785    | 0.4650     | 0.9096 | 0.785    | 0.7500   | 0.4002 | 0.0680 |
| No log        | 41.0  | 287  | 0.1139          | 0.79     | 0.4644     | 0.9092 | 0.79     | 0.7590   | 0.4034 | 0.0668 |
| No log        | 42.0  | 294  | 0.1140          | 0.79     | 0.4670     | 0.9062 | 0.79     | 0.7494   | 0.4042 | 0.0665 |
| No log        | 43.0  | 301  | 0.1126          | 0.785    | 0.4623     | 0.8470 | 0.785    | 0.7502   | 0.4079 | 0.0660 |
| No log        | 44.0  | 308  | 0.1146          | 0.775    | 0.4651     | 0.9065 | 0.775    | 0.7314   | 0.3907 | 0.0721 |
| No log        | 45.0  | 315  | 0.1122          | 0.785    | 0.4643     | 0.8626 | 0.785    | 0.7443   | 0.3991 | 0.0639 |
| No log        | 46.0  | 322  | 0.1109          | 0.795    | 0.4644     | 0.9087 | 0.795    | 0.7631   | 0.4017 | 0.0629 |
| No log        | 47.0  | 329  | 0.1116          | 0.79     | 0.4640     | 0.8473 | 0.79     | 0.7584   | 0.3959 | 0.0634 |
| No log        | 48.0  | 336  | 0.1147          | 0.78     | 0.4662     | 0.8717 | 0.78     | 0.7467   | 0.3859 | 0.0677 |
| No log        | 49.0  | 343  | 0.1154          | 0.765    | 0.4586     | 1.0035 | 0.765    | 0.7366   | 0.3826 | 0.0764 |
| No log        | 50.0  | 350  | 0.1112          | 0.79     | 0.4582     | 0.9230 | 0.79     | 0.7525   | 0.3854 | 0.0672 |
| No log        | 51.0  | 357  | 0.1104          | 0.79     | 0.4633     | 0.9120 | 0.79     | 0.7598   | 0.4000 | 0.0667 |
| No log        | 52.0  | 364  | 0.1115          | 0.79     | 0.4641     | 0.8550 | 0.79     | 0.7603   | 0.3914 | 0.0672 |
| No log        | 53.0  | 371  | 0.1150          | 0.77     | 0.4613     | 0.9215 | 0.7700   | 0.7333   | 0.3882 | 0.0733 |
| No log        | 54.0  | 378  | 0.1100          | 0.8      | 0.4596     | 0.9149 | 0.8000   | 0.7610   | 0.4055 | 0.0657 |
| No log        | 55.0  | 385  | 0.1094          | 0.785    | 0.4613     | 0.9060 | 0.785    | 0.7506   | 0.3956 | 0.0664 |
| No log        | 56.0  | 392  | 0.1087          | 0.785    | 0.4607     | 0.9068 | 0.785    | 0.7498   | 0.3984 | 0.0649 |
| No log        | 57.0  | 399  | 0.1094          | 0.785    | 0.4630     | 0.8993 | 0.785    | 0.7491   | 0.3943 | 0.0674 |
| No log        | 58.0  | 406  | 0.1100          | 0.805    | 0.4627     | 0.9130 | 0.805    | 0.7693   | 0.4018 | 0.0637 |
| No log        | 59.0  | 413  | 0.1103          | 0.795    | 0.4619     | 0.8483 | 0.795    | 0.7618   | 0.3992 | 0.0632 |
| No log        | 60.0  | 420  | 0.1093          | 0.79     | 0.4631     | 0.9007 | 0.79     | 0.7539   | 0.3936 | 0.0647 |
| No log        | 61.0  | 427  | 0.1095          | 0.79     | 0.4594     | 0.9073 | 0.79     | 0.7539   | 0.4129 | 0.0654 |
| No log        | 62.0  | 434  | 0.1092          | 0.79     | 0.4591     | 0.9087 | 0.79     | 0.7539   | 0.3956 | 0.0638 |
| No log        | 63.0  | 441  | 0.1096          | 0.79     | 0.4611     | 0.9075 | 0.79     | 0.7539   | 0.4088 | 0.0654 |
| No log        | 64.0  | 448  | 0.1093          | 0.79     | 0.4610     | 0.9041 | 0.79     | 0.7539   | 0.3953 | 0.0650 |
| No log        | 65.0  | 455  | 0.1092          | 0.79     | 0.4602     | 0.9049 | 0.79     | 0.7539   | 0.3845 | 0.0642 |
| No log        | 66.0  | 462  | 0.1092          | 0.79     | 0.4605     | 0.9027 | 0.79     | 0.7539   | 0.3870 | 0.0646 |
| No log        | 67.0  | 469  | 0.1094          | 0.79     | 0.4610     | 0.9047 | 0.79     | 0.7539   | 0.3967 | 0.0643 |
| No log        | 68.0  | 476  | 0.1094          | 0.79     | 0.4602     | 0.9053 | 0.79     | 0.7539   | 0.3956 | 0.0645 |
| No log        | 69.0  | 483  | 0.1094          | 0.79     | 0.4599     | 0.9054 | 0.79     | 0.7539   | 0.3950 | 0.0646 |
| No log        | 70.0  | 490  | 0.1095          | 0.79     | 0.4609     | 0.9036 | 0.79     | 0.7539   | 0.4054 | 0.0647 |
| No log        | 71.0  | 497  | 0.1095          | 0.79     | 0.4601     | 0.9066 | 0.79     | 0.7539   | 0.3937 | 0.0646 |
| 0.1361        | 72.0  | 504  | 0.1095          | 0.79     | 0.4602     | 0.9045 | 0.79     | 0.7539   | 0.3958 | 0.0644 |
| 0.1361        | 73.0  | 511  | 0.1095          | 0.79     | 0.4605     | 0.9064 | 0.79     | 0.7539   | 0.3900 | 0.0645 |
| 0.1361        | 74.0  | 518  | 0.1095          | 0.79     | 0.4606     | 0.9037 | 0.79     | 0.7539   | 0.4116 | 0.0642 |
| 0.1361        | 75.0  | 525  | 0.1095          | 0.79     | 0.4606     | 0.9072 | 0.79     | 0.7539   | 0.4079 | 0.0646 |
| 0.1361        | 76.0  | 532  | 0.1096          | 0.79     | 0.4604     | 0.9066 | 0.79     | 0.7539   | 0.4017 | 0.0644 |
| 0.1361        | 77.0  | 539  | 0.1095          | 0.79     | 0.4603     | 0.9062 | 0.79     | 0.7539   | 0.4014 | 0.0646 |
| 0.1361        | 78.0  | 546  | 0.1096          | 0.79     | 0.4600     | 0.9053 | 0.79     | 0.7539   | 0.3957 | 0.0644 |
| 0.1361        | 79.0  | 553  | 0.1096          | 0.79     | 0.4606     | 0.9056 | 0.79     | 0.7539   | 0.3986 | 0.0645 |
| 0.1361        | 80.0  | 560  | 0.1097          | 0.79     | 0.4602     | 0.9059 | 0.79     | 0.7539   | 0.4023 | 0.0647 |
| 0.1361        | 81.0  | 567  | 0.1096          | 0.79     | 0.4604     | 0.9056 | 0.79     | 0.7539   | 0.4042 | 0.0645 |
| 0.1361        | 82.0  | 574  | 0.1097          | 0.79     | 0.4603     | 0.9058 | 0.79     | 0.7539   | 0.4082 | 0.0646 |
| 0.1361        | 83.0  | 581  | 0.1097          | 0.79     | 0.4606     | 0.9066 | 0.79     | 0.7539   | 0.4085 | 0.0645 |
| 0.1361        | 84.0  | 588  | 0.1097          | 0.79     | 0.4603     | 0.9060 | 0.79     | 0.7539   | 0.4040 | 0.0645 |
| 0.1361        | 85.0  | 595  | 0.1097          | 0.79     | 0.4606     | 0.9059 | 0.79     | 0.7539   | 0.3949 | 0.0645 |
| 0.1361        | 86.0  | 602  | 0.1097          | 0.79     | 0.4603     | 0.9059 | 0.79     | 0.7539   | 0.4040 | 0.0645 |
| 0.1361        | 87.0  | 609  | 0.1097          | 0.79     | 0.4605     | 0.9051 | 0.79     | 0.7539   | 0.4025 | 0.0644 |
| 0.1361        | 88.0  | 616  | 0.1097          | 0.79     | 0.4605     | 0.9055 | 0.79     | 0.7539   | 0.3962 | 0.0643 |
| 0.1361        | 89.0  | 623  | 0.1097          | 0.79     | 0.4603     | 0.9056 | 0.79     | 0.7539   | 0.4040 | 0.0643 |
| 0.1361        | 90.0  | 630  | 0.1098          | 0.79     | 0.4604     | 0.9051 | 0.79     | 0.7539   | 0.3962 | 0.0643 |
| 0.1361        | 91.0  | 637  | 0.1098          | 0.79     | 0.4604     | 0.9064 | 0.79     | 0.7539   | 0.4041 | 0.0644 |
| 0.1361        | 92.0  | 644  | 0.1098          | 0.79     | 0.4605     | 0.9055 | 0.79     | 0.7539   | 0.4004 | 0.0644 |
| 0.1361        | 93.0  | 651  | 0.1098          | 0.79     | 0.4605     | 0.9059 | 0.79     | 0.7539   | 0.4042 | 0.0644 |
| 0.1361        | 94.0  | 658  | 0.1098          | 0.79     | 0.4603     | 0.9059 | 0.79     | 0.7539   | 0.4094 | 0.0643 |
| 0.1361        | 95.0  | 665  | 0.1098          | 0.79     | 0.4605     | 0.9056 | 0.79     | 0.7539   | 0.4138 | 0.0645 |
| 0.1361        | 96.0  | 672  | 0.1098          | 0.79     | 0.4604     | 0.9059 | 0.79     | 0.7539   | 0.4095 | 0.0643 |
| 0.1361        | 97.0  | 679  | 0.1098          | 0.79     | 0.4604     | 0.9057 | 0.79     | 0.7539   | 0.4137 | 0.0643 |
| 0.1361        | 98.0  | 686  | 0.1098          | 0.79     | 0.4604     | 0.9059 | 0.79     | 0.7539   | 0.4096 | 0.0643 |
| 0.1361        | 99.0  | 693  | 0.1098          | 0.79     | 0.4604     | 0.9059 | 0.79     | 0.7539   | 0.4137 | 0.0644 |
| 0.1361        | 100.0 | 700  | 0.1098          | 0.79     | 0.4604     | 0.9058 | 0.79     | 0.7539   | 0.4083 | 0.0644 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2

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