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# car_identified_model_12

This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5062
- F1: 0.9130
- Roc Auc: 0.9167
- Accuracy: 0.75

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.2599        | 1.0   | 1    | 0.6888          | 0.4211 | 0.5417  | 0.0      |
| 0.2599        | 2.0   | 2    | 0.6888          | 0.3590 | 0.4792  | 0.0      |
| 0.2599        | 3.0   | 4    | 0.6878          | 0.4103 | 0.5208  | 0.0      |
| 0.2599        | 4.0   | 5    | 0.6872          | 0.45   | 0.5417  | 0.0      |
| 0.2599        | 5.0   | 6    | 0.6864          | 0.5116 | 0.5625  | 0.0      |
| 0.2599        | 6.0   | 8    | 0.6843          | 0.5238 | 0.5833  | 0.0833   |
| 0.2599        | 7.0   | 9    | 0.6828          | 0.5581 | 0.6042  | 0.1667   |
| 0.2599        | 8.0   | 10   | 0.6813          | 0.5238 | 0.5833  | 0.0833   |
| 0.2599        | 9.0   | 11   | 0.6803          | 0.45   | 0.5417  | 0.0833   |
| 0.2599        | 10.0  | 12   | 0.6794          | 0.4615 | 0.5625  | 0.0833   |
| 0.2599        | 11.0  | 14   | 0.6771          | 0.5128 | 0.6042  | 0.0833   |
| 0.2599        | 12.0  | 15   | 0.6762          | 0.5854 | 0.6458  | 0.0833   |
| 0.2599        | 13.0  | 16   | 0.6751          | 0.6341 | 0.6875  | 0.25     |
| 0.2599        | 14.0  | 18   | 0.6731          | 0.6667 | 0.7083  | 0.25     |
| 0.2599        | 15.0  | 19   | 0.6721          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 16.0  | 20   | 0.6710          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 17.0  | 21   | 0.6698          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 18.0  | 22   | 0.6690          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 19.0  | 24   | 0.6668          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 20.0  | 25   | 0.6658          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 21.0  | 26   | 0.6654          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 22.0  | 28   | 0.6631          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 23.0  | 29   | 0.6620          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 24.0  | 30   | 0.6613          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 25.0  | 31   | 0.6601          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 26.0  | 32   | 0.6590          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 27.0  | 34   | 0.6567          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 28.0  | 35   | 0.6554          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 29.0  | 36   | 0.6545          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 30.0  | 38   | 0.6522          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 31.0  | 39   | 0.6510          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 32.0  | 40   | 0.6496          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 33.0  | 41   | 0.6485          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 34.0  | 42   | 0.6476          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 35.0  | 44   | 0.6456          | 0.7273 | 0.75    | 0.3333   |
| 0.2599        | 36.0  | 45   | 0.6448          | 0.7556 | 0.7708  | 0.3333   |
| 0.2599        | 37.0  | 46   | 0.6437          | 0.7556 | 0.7708  | 0.3333   |
| 0.2599        | 38.0  | 48   | 0.6418          | 0.7727 | 0.7917  | 0.4167   |
| 0.2599        | 39.0  | 49   | 0.6410          | 0.7727 | 0.7917  | 0.4167   |
| 0.2599        | 40.0  | 50   | 0.6402          | 0.7727 | 0.7917  | 0.4167   |
| 0.2599        | 41.0  | 51   | 0.6392          | 0.7727 | 0.7917  | 0.4167   |
| 0.2599        | 42.0  | 52   | 0.6380          | 0.7907 | 0.8125  | 0.5      |
| 0.2599        | 43.0  | 54   | 0.6357          | 0.8182 | 0.8333  | 0.5833   |
| 0.2599        | 44.0  | 55   | 0.6349          | 0.8182 | 0.8333  | 0.5833   |
| 0.2599        | 45.0  | 56   | 0.6334          | 0.8000 | 0.8125  | 0.5      |
| 0.2599        | 46.0  | 58   | 0.6313          | 0.8000 | 0.8125  | 0.5      |
| 0.2599        | 47.0  | 59   | 0.6312          | 0.8000 | 0.8125  | 0.5      |
| 0.2599        | 48.0  | 60   | 0.6302          | 0.8182 | 0.8333  | 0.5833   |
| 0.2599        | 49.0  | 61   | 0.6291          | 0.8182 | 0.8333  | 0.5833   |
| 0.2599        | 50.0  | 62   | 0.6279          | 0.8182 | 0.8333  | 0.5833   |
| 0.2599        | 51.0  | 64   | 0.6254          | 0.8444 | 0.8542  | 0.6667   |
| 0.2599        | 52.0  | 65   | 0.6241          | 0.8696 | 0.875   | 0.6667   |
| 0.2599        | 53.0  | 66   | 0.6230          | 0.8696 | 0.875   | 0.6667   |
| 0.2599        | 54.0  | 68   | 0.6210          | 0.8936 | 0.8958  | 0.6667   |
| 0.2599        | 55.0  | 69   | 0.6200          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 56.0  | 70   | 0.6192          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 57.0  | 71   | 0.6175          | 0.8696 | 0.875   | 0.6667   |
| 0.2599        | 58.0  | 72   | 0.6171          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 59.0  | 74   | 0.6157          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 60.0  | 75   | 0.6147          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 61.0  | 76   | 0.6140          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 62.0  | 78   | 0.6120          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 63.0  | 79   | 0.6107          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 64.0  | 80   | 0.6088          | 0.8889 | 0.8958  | 0.6667   |
| 0.2599        | 65.0  | 81   | 0.6083          | 0.8889 | 0.8958  | 0.6667   |
| 0.2599        | 66.0  | 82   | 0.6076          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 67.0  | 84   | 0.6058          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 68.0  | 85   | 0.6042          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 69.0  | 86   | 0.6034          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 70.0  | 88   | 0.6017          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 71.0  | 89   | 0.6001          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 72.0  | 90   | 0.5998          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 73.0  | 91   | 0.5993          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 74.0  | 92   | 0.5985          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 75.0  | 94   | 0.5949          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 76.0  | 95   | 0.5938          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 77.0  | 96   | 0.5941          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 78.0  | 98   | 0.5925          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 79.0  | 99   | 0.5922          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 80.0  | 100  | 0.5911          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 81.0  | 101  | 0.5905          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 82.0  | 102  | 0.5893          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 83.0  | 104  | 0.5872          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 84.0  | 105  | 0.5855          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 85.0  | 106  | 0.5852          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 86.0  | 108  | 0.5835          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 87.0  | 109  | 0.5835          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 88.0  | 110  | 0.5831          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 89.0  | 111  | 0.5822          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 90.0  | 112  | 0.5815          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 91.0  | 114  | 0.5803          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 92.0  | 115  | 0.5779          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 93.0  | 116  | 0.5770          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 94.0  | 118  | 0.5758          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 95.0  | 119  | 0.5748          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 96.0  | 120  | 0.5744          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 97.0  | 121  | 0.5739          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 98.0  | 122  | 0.5730          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 99.0  | 124  | 0.5710          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 100.0 | 125  | 0.5703          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 101.0 | 126  | 0.5687          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 102.0 | 128  | 0.5664          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 103.0 | 129  | 0.5657          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 104.0 | 130  | 0.5657          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 105.0 | 131  | 0.5639          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 106.0 | 132  | 0.5642          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 107.0 | 134  | 0.5617          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 108.0 | 135  | 0.5604          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 109.0 | 136  | 0.5598          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 110.0 | 138  | 0.5579          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 111.0 | 139  | 0.5566          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 112.0 | 140  | 0.5561          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 113.0 | 141  | 0.5567          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 114.0 | 142  | 0.5571          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 115.0 | 144  | 0.5536          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 116.0 | 145  | 0.5537          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 117.0 | 146  | 0.5510          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 118.0 | 148  | 0.5496          | 0.8936 | 0.8958  | 0.75     |
| 0.2599        | 119.0 | 149  | 0.5492          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 120.0 | 150  | 0.5492          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 121.0 | 151  | 0.5490          | 0.9333 | 0.9375  | 0.75     |
| 0.2599        | 122.0 | 152  | 0.5483          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 123.0 | 154  | 0.5464          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 124.0 | 155  | 0.5477          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 125.0 | 156  | 0.5469          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 126.0 | 158  | 0.5445          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 127.0 | 159  | 0.5450          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 128.0 | 160  | 0.5436          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 129.0 | 161  | 0.5433          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 130.0 | 162  | 0.5417          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 131.0 | 164  | 0.5416          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 132.0 | 165  | 0.5403          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 133.0 | 166  | 0.5404          | 0.9333 | 0.9375  | 0.75     |
| 0.2599        | 134.0 | 168  | 0.5390          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 135.0 | 169  | 0.5389          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 136.0 | 170  | 0.5376          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 137.0 | 171  | 0.5374          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 138.0 | 172  | 0.5372          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 139.0 | 174  | 0.5348          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 140.0 | 175  | 0.5356          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 141.0 | 176  | 0.5355          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 142.0 | 178  | 0.5323          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 143.0 | 179  | 0.5323          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 144.0 | 180  | 0.5332          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 145.0 | 181  | 0.5320          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 146.0 | 182  | 0.5315          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 147.0 | 184  | 0.5301          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 148.0 | 185  | 0.5284          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 149.0 | 186  | 0.5296          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 150.0 | 188  | 0.5301          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 151.0 | 189  | 0.5282          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 152.0 | 190  | 0.5263          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 153.0 | 191  | 0.5263          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 154.0 | 192  | 0.5270          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 155.0 | 194  | 0.5274          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 156.0 | 195  | 0.5264          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 157.0 | 196  | 0.5281          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 158.0 | 198  | 0.5232          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 159.0 | 199  | 0.5218          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 160.0 | 200  | 0.5212          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 161.0 | 201  | 0.5214          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 162.0 | 202  | 0.5222          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 163.0 | 204  | 0.5210          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 164.0 | 205  | 0.5207          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 165.0 | 206  | 0.5210          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 166.0 | 208  | 0.5195          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 167.0 | 209  | 0.5217          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 168.0 | 210  | 0.5207          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 169.0 | 211  | 0.5190          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 170.0 | 212  | 0.5181          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 171.0 | 214  | 0.5183          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 172.0 | 215  | 0.5183          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 173.0 | 216  | 0.5202          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 174.0 | 218  | 0.5180          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 175.0 | 219  | 0.5189          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 176.0 | 220  | 0.5157          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 177.0 | 221  | 0.5168          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 178.0 | 222  | 0.5161          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 179.0 | 224  | 0.5160          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 180.0 | 225  | 0.5178          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 181.0 | 226  | 0.5166          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 182.0 | 228  | 0.5146          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 183.0 | 229  | 0.5143          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 184.0 | 230  | 0.5128          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 185.0 | 231  | 0.5111          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 186.0 | 232  | 0.5119          | 0.9333 | 0.9375  | 0.75     |
| 0.2599        | 187.0 | 234  | 0.5116          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 188.0 | 235  | 0.5099          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 189.0 | 236  | 0.5108          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 190.0 | 238  | 0.5102          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 191.0 | 239  | 0.5103          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 192.0 | 240  | 0.5102          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 193.0 | 241  | 0.5102          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 194.0 | 242  | 0.5110          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 195.0 | 244  | 0.5093          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 196.0 | 245  | 0.5102          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 197.0 | 246  | 0.5094          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 198.0 | 248  | 0.5082          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 199.0 | 249  | 0.5069          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 200.0 | 250  | 0.5081          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 201.0 | 251  | 0.5082          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 202.0 | 252  | 0.5090          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 203.0 | 254  | 0.5076          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 204.0 | 255  | 0.5081          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 205.0 | 256  | 0.5091          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 206.0 | 258  | 0.5069          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 207.0 | 259  | 0.5067          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 208.0 | 260  | 0.5061          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 209.0 | 261  | 0.5076          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 210.0 | 262  | 0.5082          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 211.0 | 264  | 0.5069          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 212.0 | 265  | 0.5074          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 213.0 | 266  | 0.5077          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 214.0 | 268  | 0.5058          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 215.0 | 269  | 0.5063          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 216.0 | 270  | 0.5059          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 217.0 | 271  | 0.5059          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 218.0 | 272  | 0.5050          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 219.0 | 274  | 0.5056          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 220.0 | 275  | 0.5053          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 221.0 | 276  | 0.5058          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 222.0 | 278  | 0.5051          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 223.0 | 279  | 0.5047          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 224.0 | 280  | 0.5041          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 225.0 | 281  | 0.5049          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 226.0 | 282  | 0.5046          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 227.0 | 284  | 0.5078          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 228.0 | 285  | 0.5064          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 229.0 | 286  | 0.5065          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 230.0 | 288  | 0.5066          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 231.0 | 289  | 0.5058          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 232.0 | 290  | 0.5067          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 233.0 | 291  | 0.5079          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 234.0 | 292  | 0.5085          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 235.0 | 294  | 0.5073          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 236.0 | 295  | 0.5023          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 237.0 | 296  | 0.5030          | 0.9362 | 0.9375  | 0.8333   |
| 0.2599        | 238.0 | 298  | 0.5044          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 239.0 | 299  | 0.5055          | 0.9130 | 0.9167  | 0.75     |
| 0.2599        | 240.0 | 300  | 0.5062          | 0.9130 | 0.9167  | 0.75     |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "other", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["f1", "accuracy"], "base_model": "apple/mobilevit-small", "model-index": [{"name": "car_identified_model_12", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "f1", "value": 0.9130434782608695, "name": "F1"}, {"type": "accuracy", "value": 0.75, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors mobilevit image-classification generated_from_trainer dataset:imagefolder base_model:apple/mobilevit-small license:other model-index autotrain_compatible endpoints_compatible region:us