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# square_run_second_vote_full_pic_50

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: 1.6568
- F1 Macro: 0.2803
- F1 Micro: 0.3939
- F1 Weighted: 0.3344
- Precision Macro: 0.3642
- Precision Micro: 0.3939
- Precision Weighted: 0.4123
- Recall Macro: 0.3362
- Recall Micro: 0.3939
- Recall Weighted: 0.3939
- Accuracy: 0.3939

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:---------------:|:------------------:|:------------:|:------------:|:---------------:|:--------:|
| 1.8125        | 1.0   | 58   | 1.8594          | 0.1226   | 0.2121   | 0.1692      | 0.1180          | 0.2121          | 0.1586             | 0.1501       | 0.2121       | 0.2121          | 0.2121   |
| 1.8401        | 2.0   | 116  | 1.9425          | 0.0860   | 0.1742   | 0.1036      | 0.0668          | 0.1742          | 0.0824             | 0.1580       | 0.1742       | 0.1742          | 0.1742   |
| 1.7455        | 3.0   | 174  | 1.8949          | 0.1450   | 0.2424   | 0.1731      | 0.2634          | 0.2424          | 0.3029             | 0.1819       | 0.2424       | 0.2424          | 0.2424   |
| 1.8283        | 4.0   | 232  | 1.8868          | 0.0989   | 0.2121   | 0.1383      | 0.0794          | 0.2121          | 0.1089             | 0.1482       | 0.2121       | 0.2121          | 0.2121   |
| 1.729         | 5.0   | 290  | 1.8830          | 0.1271   | 0.1894   | 0.1496      | 0.1438          | 0.1894          | 0.1799             | 0.1663       | 0.1894       | 0.1894          | 0.1894   |
| 1.6643        | 6.0   | 348  | 1.8247          | 0.1450   | 0.2424   | 0.1852      | 0.1921          | 0.2424          | 0.2200             | 0.1749       | 0.2424       | 0.2424          | 0.2424   |
| 1.9317        | 7.0   | 406  | 1.8338          | 0.1470   | 0.1894   | 0.1785      | 0.1535          | 0.1894          | 0.1869             | 0.1574       | 0.1894       | 0.1894          | 0.1894   |
| 1.4753        | 8.0   | 464  | 1.7873          | 0.1617   | 0.2652   | 0.2071      | 0.1458          | 0.2652          | 0.1843             | 0.2046       | 0.2652       | 0.2652          | 0.2652   |
| 2.0844        | 9.0   | 522  | 1.8694          | 0.2562   | 0.3106   | 0.3029      | 0.2622          | 0.3106          | 0.3076             | 0.2610       | 0.3106       | 0.3106          | 0.3106   |
| 1.558         | 10.0  | 580  | 1.8684          | 0.2203   | 0.2803   | 0.2542      | 0.2140          | 0.2803          | 0.2502             | 0.2442       | 0.2803       | 0.2803          | 0.2803   |
| 1.6059        | 11.0  | 638  | 1.9295          | 0.2746   | 0.3182   | 0.3103      | 0.3107          | 0.3182          | 0.3453             | 0.2849       | 0.3182       | 0.3182          | 0.3182   |
| 1.0749        | 12.0  | 696  | 2.0512          | 0.2284   | 0.3182   | 0.2797      | 0.2882          | 0.3182          | 0.3204             | 0.2409       | 0.3182       | 0.3182          | 0.3182   |
| 1.5171        | 13.0  | 754  | 2.1976          | 0.2193   | 0.2955   | 0.2645      | 0.2698          | 0.2955          | 0.3064             | 0.2359       | 0.2955       | 0.2955          | 0.2955   |
| 0.6995        | 14.0  | 812  | 2.3271          | 0.2159   | 0.3030   | 0.2658      | 0.2928          | 0.3030          | 0.3244             | 0.2312       | 0.3030       | 0.3030          | 0.3030   |
| 1.2603        | 15.0  | 870  | 2.6123          | 0.2353   | 0.2727   | 0.2714      | 0.2778          | 0.2727          | 0.3214             | 0.2418       | 0.2727       | 0.2727          | 0.2727   |
| 0.6293        | 16.0  | 928  | 2.5967          | 0.1990   | 0.2576   | 0.2312      | 0.2149          | 0.2576          | 0.2568             | 0.2202       | 0.2576       | 0.2576          | 0.2576   |
| 0.3242        | 17.0  | 986  | 2.7596          | 0.2242   | 0.2727   | 0.2580      | 0.2423          | 0.2727          | 0.2818             | 0.2348       | 0.2727       | 0.2727          | 0.2727   |
| 0.6081        | 18.0  | 1044 | 2.8475          | 0.2060   | 0.25     | 0.2401      | 0.2329          | 0.25            | 0.2604             | 0.2054       | 0.25         | 0.25            | 0.25     |
| 0.3241        | 19.0  | 1102 | 3.1226          | 0.1989   | 0.25     | 0.2334      | 0.2199          | 0.25            | 0.2494             | 0.2033       | 0.25         | 0.25            | 0.25     |
| 0.1119        | 20.0  | 1160 | 3.1286          | 0.2302   | 0.2803   | 0.2653      | 0.2654          | 0.2803          | 0.2992             | 0.2332       | 0.2803       | 0.2803          | 0.2803   |
| 0.0946        | 21.0  | 1218 | 3.2789          | 0.2265   | 0.2955   | 0.2698      | 0.2472          | 0.2955          | 0.2835             | 0.2359       | 0.2955       | 0.2955          | 0.2955   |
| 0.0434        | 22.0  | 1276 | 3.2405          | 0.2357   | 0.2652   | 0.2666      | 0.2398          | 0.2652          | 0.2744             | 0.2360       | 0.2652       | 0.2652          | 0.2652   |
| 0.0926        | 23.0  | 1334 | 3.3668          | 0.2435   | 0.2955   | 0.2829      | 0.2650          | 0.2955          | 0.2973             | 0.2461       | 0.2955       | 0.2955          | 0.2955   |
| 0.1002        | 24.0  | 1392 | 3.4633          | 0.2105   | 0.2727   | 0.2544      | 0.2310          | 0.2727          | 0.2643             | 0.2149       | 0.2727       | 0.2727          | 0.2727   |
| 0.0602        | 25.0  | 1450 | 3.4614          | 0.2575   | 0.3030   | 0.2990      | 0.2662          | 0.3030          | 0.3027             | 0.2555       | 0.3030       | 0.3030          | 0.3030   |
| 0.0079        | 26.0  | 1508 | 3.7489          | 0.2416   | 0.2879   | 0.2764      | 0.2489          | 0.2879          | 0.2847             | 0.2503       | 0.2879       | 0.2879          | 0.2879   |
| 0.1364        | 27.0  | 1566 | 3.8018          | 0.2234   | 0.2727   | 0.2626      | 0.2312          | 0.2727          | 0.2655             | 0.2253       | 0.2727       | 0.2727          | 0.2727   |
| 0.0141        | 28.0  | 1624 | 3.7614          | 0.2435   | 0.2879   | 0.2816      | 0.2527          | 0.2879          | 0.2858             | 0.2437       | 0.2879       | 0.2879          | 0.2879   |
| 0.1638        | 29.0  | 1682 | 3.7921          | 0.2341   | 0.2803   | 0.2745      | 0.2423          | 0.2803          | 0.2795             | 0.2345       | 0.2803       | 0.2803          | 0.2803   |
| 0.0049        | 30.0  | 1740 | 3.7955          | 0.2345   | 0.2803   | 0.2743      | 0.2431          | 0.2803          | 0.2792             | 0.2345       | 0.2803       | 0.2803          | 0.2803   |


### Framework versions

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

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