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# square_run_square_run_first_vote_full_pic_25_age

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8420
- F1 Macro: 0.2101
- F1 Micro: 0.3182
- F1 Weighted: 0.2588
- Precision Macro: 0.1853
- Precision Micro: 0.3182
- Precision Weighted: 0.2261
- Recall Macro: 0.2563
- Recall Micro: 0.3182
- Recall Weighted: 0.3182
- Accuracy: 0.3182

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | F1 Weighted | Precision Macro | Precision Micro | Precision Weighted | Recall Macro | Recall Micro | Recall Weighted | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:---------------:|:------------------:|:------------:|:------------:|:---------------:|:--------:|
| 1.8947        | 1.0   | 58   | 1.9103          | 0.0802   | 0.1591   | 0.0926      | 0.0654          | 0.1591          | 0.0737             | 0.1311       | 0.1591       | 0.1591          | 0.1591   |
| 1.9864        | 2.0   | 116  | 2.0017          | 0.0614   | 0.1439   | 0.0665      | 0.0434          | 0.1439          | 0.0473             | 0.1340       | 0.1439       | 0.1439          | 0.1439   |
| 1.9069        | 3.0   | 174  | 1.8861          | 0.1323   | 0.2348   | 0.1697      | 0.1197          | 0.2348          | 0.1496             | 0.1773       | 0.2348       | 0.2348          | 0.2348   |
| 1.7102        | 4.0   | 232  | 1.8780          | 0.0963   | 0.2273   | 0.1303      | 0.0927          | 0.2273          | 0.1189             | 0.1631       | 0.2273       | 0.2273          | 0.2273   |
| 1.9048        | 5.0   | 290  | 1.8504          | 0.1544   | 0.2424   | 0.1936      | 0.1677          | 0.2424          | 0.2005             | 0.1873       | 0.2424       | 0.2424          | 0.2424   |
| 1.8432        | 6.0   | 348  | 1.9349          | 0.1092   | 0.1591   | 0.1296      | 0.0978          | 0.1591          | 0.1203             | 0.1407       | 0.1591       | 0.1591          | 0.1591   |
| 2.051         | 7.0   | 406  | 1.9871          | 0.1542   | 0.2273   | 0.1718      | 0.2630          | 0.2273          | 0.2834             | 0.1932       | 0.2273       | 0.2273          | 0.2273   |
| 1.6873        | 8.0   | 464  | 2.1073          | 0.1197   | 0.1742   | 0.1432      | 0.1470          | 0.1742          | 0.1808             | 0.1434       | 0.1742       | 0.1742          | 0.1742   |
| 1.6756        | 9.0   | 522  | 2.0864          | 0.1541   | 0.2121   | 0.1829      | 0.1584          | 0.2121          | 0.1847             | 0.1760       | 0.2121       | 0.2121          | 0.2121   |
| 1.3861        | 10.0  | 580  | 2.1820          | 0.2356   | 0.2879   | 0.2457      | 0.3112          | 0.2879          | 0.2483             | 0.2629       | 0.2879       | 0.2879          | 0.2879   |
| 1.4967        | 11.0  | 638  | 2.3178          | 0.1792   | 0.2121   | 0.2035      | 0.1951          | 0.2121          | 0.2294             | 0.1895       | 0.2121       | 0.2121          | 0.2121   |
| 0.647         | 12.0  | 696  | 2.5355          | 0.2424   | 0.2348   | 0.2357      | 0.3563          | 0.2348          | 0.2855             | 0.2339       | 0.2348       | 0.2348          | 0.2348   |
| 1.0499        | 13.0  | 754  | 2.6150          | 0.2180   | 0.2197   | 0.2148      | 0.3053          | 0.2197          | 0.2945             | 0.2269       | 0.2197       | 0.2197          | 0.2197   |
| 0.8517        | 14.0  | 812  | 2.5920          | 0.2557   | 0.2576   | 0.2599      | 0.3949          | 0.2576          | 0.3338             | 0.2385       | 0.2576       | 0.2576          | 0.2576   |
| 0.9049        | 15.0  | 870  | 2.7174          | 0.2563   | 0.2652   | 0.2625      | 0.2770          | 0.2652          | 0.2709             | 0.2515       | 0.2652       | 0.2652          | 0.2652   |
| 0.4174        | 16.0  | 928  | 2.8881          | 0.2089   | 0.2121   | 0.2107      | 0.3001          | 0.2121          | 0.2618             | 0.1958       | 0.2121       | 0.2121          | 0.2121   |
| 0.3634        | 17.0  | 986  | 3.1611          | 0.2103   | 0.2348   | 0.2209      | 0.2170          | 0.2348          | 0.2139             | 0.2145       | 0.2348       | 0.2348          | 0.2348   |
| 0.4008        | 18.0  | 1044 | 3.4658          | 0.2233   | 0.2576   | 0.2354      | 0.2480          | 0.2576          | 0.2431             | 0.2321       | 0.2576       | 0.2576          | 0.2576   |
| 0.1012        | 19.0  | 1102 | 3.5065          | 0.2435   | 0.2652   | 0.2569      | 0.3072          | 0.2652          | 0.2987             | 0.2398       | 0.2652       | 0.2652          | 0.2652   |
| 0.1552        | 20.0  | 1160 | 3.5254          | 0.2306   | 0.25     | 0.2416      | 0.2414          | 0.25            | 0.2520             | 0.2357       | 0.25         | 0.25            | 0.25     |
| 0.0613        | 21.0  | 1218 | 3.6319          | 0.2040   | 0.2197   | 0.2084      | 0.2162          | 0.2197          | 0.2073             | 0.2057       | 0.2197       | 0.2197          | 0.2197   |
| 0.1634        | 22.0  | 1276 | 3.6378          | 0.2652   | 0.2803   | 0.2734      | 0.2815          | 0.2803          | 0.2789             | 0.2623       | 0.2803       | 0.2803          | 0.2803   |
| 0.2401        | 23.0  | 1334 | 3.6470          | 0.2371   | 0.25     | 0.2479      | 0.2416          | 0.25            | 0.2497             | 0.2360       | 0.25         | 0.25            | 0.25     |
| 0.0739        | 24.0  | 1392 | 3.9052          | 0.2123   | 0.2197   | 0.2194      | 0.2290          | 0.2197          | 0.2298             | 0.2076       | 0.2197       | 0.2197          | 0.2197   |
| 0.2851        | 25.0  | 1450 | 3.8456          | 0.2345   | 0.2424   | 0.2424      | 0.2478          | 0.2424          | 0.2458             | 0.2300       | 0.2424       | 0.2424          | 0.2424   |
| 0.0082        | 26.0  | 1508 | 4.0511          | 0.2375   | 0.25     | 0.2412      | 0.2737          | 0.25            | 0.2497             | 0.2332       | 0.25         | 0.25            | 0.25     |
| 0.012         | 27.0  | 1566 | 4.1588          | 0.2219   | 0.2348   | 0.2280      | 0.2510          | 0.2348          | 0.2411             | 0.2176       | 0.2348       | 0.2348          | 0.2348   |
| 0.0052        | 28.0  | 1624 | 4.2070          | 0.2218   | 0.2348   | 0.2256      | 0.2390          | 0.2348          | 0.2339             | 0.2245       | 0.2348       | 0.2348          | 0.2348   |
| 0.0197        | 29.0  | 1682 | 4.1533          | 0.2259   | 0.2424   | 0.2355      | 0.2402          | 0.2424          | 0.2388             | 0.2256       | 0.2424       | 0.2424          | 0.2424   |
| 0.0225        | 30.0  | 1740 | 4.1562          | 0.2426   | 0.2576   | 0.2530      | 0.2587          | 0.2576          | 0.2561             | 0.2388       | 0.2576       | 0.2576          | 0.2576   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0

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