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# tobikoi-classifier-alpha1

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150.0

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.4014        | 1.0   | 54   | 0.7632   | 0.3552          |
| 0.2253        | 2.0   | 108  | 0.9737   | 0.1712          |
| 0.0768        | 3.0   | 162  | 0.9868   | 0.0763          |
| 0.0694        | 4.0   | 216  | 0.9868   | 0.0615          |
| 0.0433        | 5.0   | 270  | 0.9868   | 0.0504          |
| 0.1045        | 6.0   | 324  | 0.9868   | 0.0323          |
| 0.0148        | 7.0   | 378  | 0.9868   | 0.0436          |
| 0.0156        | 8.0   | 432  | 0.9868   | 0.0271          |
| 0.0109        | 9.0   | 486  | 0.9868   | 0.0511          |
| 0.0142        | 10.0  | 540  | 0.9868   | 0.0563          |
| 0.0307        | 11.0  | 594  | 0.9868   | 0.0633          |
| 0.0092        | 12.0  | 648  | 0.9868   | 0.0430          |
| 0.007         | 13.0  | 702  | 0.9868   | 0.0508          |
| 0.0059        | 14.0  | 756  | 0.9868   | 0.0598          |
| 0.0057        | 15.0  | 810  | 0.9868   | 0.0639          |
| 0.0513        | 16.0  | 864  | 0.9868   | 0.0579          |
| 0.0259        | 17.0  | 918  | 0.9868   | 0.0707          |
| 0.0111        | 18.0  | 972  | 0.9868   | 0.0611          |
| 0.014         | 19.0  | 1026 | 0.9868   | 0.0620          |
| 0.004         | 20.0  | 1080 | 1.0      | 0.0058          |
| 0.0036        | 21.0  | 1134 | 1.0      | 0.0044          |
| 0.0545        | 22.0  | 1188 | 1.0      | 0.0114          |
| 0.0131        | 23.0  | 1242 | 0.9868   | 0.0621          |
| 0.0651        | 24.0  | 1296 | 0.9868   | 0.0692          |
| 0.0047        | 25.0  | 1350 | 1.0      | 0.0034          |
| 0.0374        | 26.0  | 1404 | 1.0      | 0.0031          |
| 0.0482        | 27.0  | 1458 | 1.0      | 0.0045          |
| 0.0026        | 28.0  | 1512 | 1.0      | 0.0028          |
| 0.0038        | 29.0  | 1566 | 1.0      | 0.0025          |
| 0.0027        | 30.0  | 1620 | 1.0      | 0.0023          |
| 0.0145        | 31.0  | 1674 | 0.9868   | 0.0698          |
| 0.0022        | 32.0  | 1728 | 0.9868   | 0.0255          |
| 0.0025        | 33.0  | 1782 | 1.0      | 0.0095          |
| 0.0022        | 34.0  | 1836 | 0.9868   | 0.0725          |
| 0.0019        | 35.0  | 1890 | 0.9868   | 0.0592          |
| 0.0159        | 36.0  | 1944 | 0.9868   | 0.0747          |
| 0.0018        | 37.0  | 1998 | 0.9868   | 0.0244          |
| 0.0016        | 38.0  | 2052 | 1.0      | 0.0019          |
| 0.0017        | 39.0  | 2106 | 1.0      | 0.0018          |
| 0.053         | 40.0  | 2160 | 1.0      | 0.0023          |
| 0.0016        | 41.0  | 2214 | 1.0      | 0.0061          |
| 0.0015        | 42.0  | 2268 | 1.0      | 0.0102          |
| 0.0015        | 43.0  | 2322 | 1.0      | 0.0019          |
| 0.0015        | 44.0  | 2376 | 1.0      | 0.0062          |
| 0.0014        | 45.0  | 2430 | 1.0      | 0.0014          |
| 0.0015        | 46.0  | 2484 | 1.0      | 0.0015          |
| 0.0013        | 47.0  | 2538 | 0.9868   | 0.0672          |
| 0.0012        | 48.0  | 2592 | 1.0      | 0.0015          |
| 0.0012        | 49.0  | 2646 | 0.9868   | 0.0700          |
| 0.0012        | 50.0  | 2700 | 0.9868   | 0.0579          |
| 0.0011        | 51.0  | 2754 | 0.9868   | 0.0571          |
| 0.001         | 52.0  | 2808 | 0.9868   | 0.0670          |
| 0.001         | 53.0  | 2862 | 0.9868   | 0.0730          |
| 0.0013        | 54.0  | 2916 | 0.9868   | 0.0135          |
| 0.001         | 55.0  | 2970 | 0.9868   | 0.0836          |
| 0.0009        | 56.0  | 3024 | 1.0      | 0.0010          |
| 0.0009        | 57.0  | 3078 | 0.9868   | 0.0122          |
| 0.001         | 58.0  | 3132 | 0.9868   | 0.0105          |
| 0.0017        | 59.0  | 3186 | 1.0      | 0.0074          |
| 0.0009        | 60.0  | 3240 | 1.0      | 0.0010          |
| 0.0009        | 61.0  | 3294 | 1.0      | 0.0009          |
| 0.0381        | 62.0  | 3348 | 1.0      | 0.0020          |
| 0.0008        | 63.0  | 3402 | 1.0      | 0.0008          |
| 0.0099        | 64.0  | 3456 | 1.0      | 0.0008          |
| 0.0007        | 65.0  | 3510 | 0.9868   | 0.0757          |
| 0.0008        | 66.0  | 3564 | 0.9868   | 0.0764          |
| 0.0007        | 67.0  | 3618 | 0.9737   | 0.1257          |
| 0.0007        | 68.0  | 3672 | 0.9868   | 0.0098          |
| 0.0736        | 69.0  | 3726 | 1.0      | 0.0008          |
| 0.0007        | 70.0  | 3780 | 0.9868   | 0.0605          |
| 0.0006        | 71.0  | 3834 | 1.0      | 0.0012          |
| 0.001         | 72.0  | 3888 | 0.9737   | 0.1666          |
| 0.0042        | 73.0  | 3942 | 1.0      | 0.0007          |
| 0.0006        | 74.0  | 3996 | 1.0      | 0.0007          |
| 0.0007        | 75.0  | 4050 | 1.0      | 0.0007          |
| 0.0006        | 76.0  | 4104 | 0.9868   | 0.0331          |
| 0.0006        | 77.0  | 4158 | 0.9868   | 0.0169          |
| 0.0345        | 78.0  | 4212 | 1.0      | 0.0006          |
| 0.0005        | 79.0  | 4266 | 0.9868   | 0.0762          |
| 0.0005        | 80.0  | 4320 | 1.0      | 0.0007          |
| 0.0005        | 81.0  | 4374 | 1.0      | 0.0005          |
| 0.0005        | 82.0  | 4428 | 1.0      | 0.0006          |
| 0.0005        | 83.0  | 4482 | 1.0      | 0.0005          |
| 0.0005        | 84.0  | 4536 | 1.0      | 0.0005          |
| 0.0047        | 85.0  | 4590 | 1.0      | 0.0007          |
| 0.0005        | 86.0  | 4644 | 1.0      | 0.0005          |
| 0.0005        | 87.0  | 4698 | 1.0      | 0.0005          |
| 0.0004        | 88.0  | 4752 | 1.0      | 0.0004          |
| 0.0004        | 89.0  | 4806 | 1.0      | 0.0004          |
| 0.0005        | 90.0  | 4860 | 1.0      | 0.0005          |
| 0.0004        | 91.0  | 4914 | 1.0      | 0.0005          |
| 0.0067        | 92.0  | 4968 | 1.0      | 0.0004          |
| 0.0004        | 93.0  | 5022 | 1.0      | 0.0004          |
| 0.0004        | 94.0  | 5076 | 1.0      | 0.0004          |
| 0.0004        | 95.0  | 5130 | 1.0      | 0.0004          |
| 0.0004        | 96.0  | 5184 | 1.0      | 0.0004          |
| 0.0004        | 97.0  | 5238 | 1.0      | 0.0004          |
| 0.0004        | 98.0  | 5292 | 1.0      | 0.0004          |
| 0.0003        | 99.0  | 5346 | 1.0      | 0.0004          |
| 0.0003        | 100.0 | 5400 | 1.0      | 0.0003          |
| 0.0003        | 101.0 | 5454 | 1.0      | 0.0004          |
| 0.0004        | 102.0 | 5508 | 1.0      | 0.0005          |
| 0.0004        | 103.0 | 5562 | 1.0      | 0.0005          |
| 0.0004        | 104.0 | 5616 | 1.0      | 0.0004          |
| 0.0006        | 105.0 | 5670 | 1.0      | 0.0003          |
| 0.0005        | 106.0 | 5724 | 1.0      | 0.0003          |
| 0.0003        | 107.0 | 5778 | 1.0      | 0.0003          |
| 0.0003        | 108.0 | 5832 | 1.0      | 0.0003          |
| 0.0003        | 109.0 | 5886 | 1.0      | 0.0003          |
| 0.0003        | 110.0 | 5940 | 1.0      | 0.0003          |
| 0.0003        | 111.0 | 5994 | 1.0      | 0.0003          |
| 0.0003        | 112.0 | 6048 | 1.0      | 0.0003          |
| 0.0003        | 113.0 | 6102 | 1.0      | 0.0003          |
| 0.0003        | 114.0 | 6156 | 1.0      | 0.0003          |
| 0.0003        | 115.0 | 6210 | 1.0      | 0.0003          |
| 0.0003        | 116.0 | 6264 | 1.0      | 0.0003          |
| 0.0003        | 117.0 | 6318 | 1.0      | 0.0003          |
| 0.0003        | 118.0 | 6372 | 1.0      | 0.0003          |
| 0.0002        | 119.0 | 6426 | 1.0      | 0.0002          |
| 0.0002        | 120.0 | 6480 | 1.0      | 0.0002          |
| 0.0002        | 121.0 | 6534 | 1.0      | 0.0002          |
| 0.0003        | 122.0 | 6588 | 1.0      | 0.0002          |
| 0.0002        | 123.0 | 6642 | 1.0      | 0.0002          |
| 0.0002        | 124.0 | 6696 | 1.0      | 0.0002          |
| 0.0002        | 125.0 | 6750 | 1.0      | 0.0002          |
| 0.0002        | 126.0 | 6804 | 1.0      | 0.0002          |
| 0.0712        | 127.0 | 6858 | 1.0      | 0.0002          |
| 0.0002        | 128.0 | 6912 | 1.0      | 0.0002          |
| 0.0002        | 129.0 | 6966 | 1.0      | 0.0002          |
| 0.0002        | 130.0 | 7020 | 1.0      | 0.0002          |
| 0.0002        | 131.0 | 7074 | 1.0      | 0.0002          |
| 0.0002        | 132.0 | 7128 | 1.0      | 0.0002          |
| 0.0002        | 133.0 | 7182 | 1.0      | 0.0002          |
| 0.0002        | 134.0 | 7236 | 1.0      | 0.0002          |
| 0.0002        | 135.0 | 7290 | 1.0      | 0.0002          |
| 0.0003        | 136.0 | 7344 | 1.0      | 0.0002          |
| 0.0002        | 137.0 | 7398 | 1.0      | 0.0002          |
| 0.0002        | 138.0 | 7452 | 1.0      | 0.0002          |
| 0.0028        | 139.0 | 7506 | 1.0      | 0.0002          |
| 0.0006        | 140.0 | 7560 | 1.0      | 0.0002          |
| 0.0002        | 141.0 | 7614 | 1.0      | 0.0002          |
| 0.0002        | 142.0 | 7668 | 1.0      | 0.0002          |
| 0.0004        | 143.0 | 7722 | 1.0      | 0.0002          |
| 0.0002        | 144.0 | 7776 | 1.0      | 0.0002          |
| 0.0002        | 145.0 | 7830 | 1.0      | 0.0002          |
| 0.1028        | 146.0 | 7884 | 1.0      | 0.0002          |
| 0.0002        | 147.0 | 7938 | 1.0      | 0.0002          |
| 0.0002        | 148.0 | 7992 | 1.0      | 0.0002          |
| 0.0002        | 149.0 | 8046 | 1.0      | 0.0002          |
| 0.0002        | 150.0 | 8100 | 1.0      | 0.0002          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

lilikoi tobiko