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# V4_Image_classification__points_durs__google_vit-base-patch16-224-in21k

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2221
- Accuracy: 0.9560

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6743        | 1.0   | 13   | 0.6315          | 0.7566   |
| 0.6051        | 2.0   | 26   | 0.4384          | 0.9150   |
| 0.4588        | 3.0   | 39   | 0.2402          | 0.9326   |
| 0.1818        | 4.0   | 52   | 0.1702          | 0.9384   |
| 0.1102        | 5.0   | 65   | 0.1409          | 0.9413   |
| 0.0733        | 6.0   | 78   | 0.1516          | 0.9501   |
| 0.0423        | 7.0   | 91   | 0.1613          | 0.9560   |
| 0.0286        | 8.0   | 104  | 0.1843          | 0.9501   |
| 0.0192        | 9.0   | 117  | 0.1672          | 0.9560   |
| 0.0159        | 10.0  | 130  | 0.1703          | 0.9589   |
| 0.0173        | 11.0  | 143  | 0.1729          | 0.9560   |
| 0.0143        | 12.0  | 156  | 0.1786          | 0.9560   |
| 0.0105        | 13.0  | 169  | 0.1821          | 0.9560   |
| 0.0091        | 14.0  | 182  | 0.1827          | 0.9589   |
| 0.0096        | 15.0  | 195  | 0.1859          | 0.9560   |
| 0.0081        | 16.0  | 208  | 0.1989          | 0.9560   |
| 0.0075        | 17.0  | 221  | 0.2012          | 0.9560   |
| 0.0347        | 18.0  | 234  | 0.2507          | 0.9384   |
| 0.0232        | 19.0  | 247  | 0.2271          | 0.9413   |
| 0.0065        | 20.0  | 260  | 0.1950          | 0.9589   |
| 0.0102        | 21.0  | 273  | 0.2378          | 0.9472   |
| 0.0064        | 22.0  | 286  | 0.2265          | 0.9501   |
| 0.0058        | 23.0  | 299  | 0.2033          | 0.9560   |
| 0.0055        | 24.0  | 312  | 0.2402          | 0.9501   |
| 0.005         | 25.0  | 325  | 0.2500          | 0.9443   |
| 0.0054        | 26.0  | 338  | 0.2450          | 0.9472   |
| 0.0048        | 27.0  | 351  | 0.2431          | 0.9501   |
| 0.0047        | 28.0  | 364  | 0.2439          | 0.9472   |
| 0.0046        | 29.0  | 377  | 0.2445          | 0.9472   |
| 0.0044        | 30.0  | 390  | 0.2434          | 0.9472   |
| 0.0042        | 31.0  | 403  | 0.2441          | 0.9472   |
| 0.0042        | 32.0  | 416  | 0.2426          | 0.9472   |
| 0.0042        | 33.0  | 429  | 0.2414          | 0.9472   |
| 0.004         | 34.0  | 442  | 0.2383          | 0.9472   |
| 0.004         | 35.0  | 455  | 0.2349          | 0.9472   |
| 0.0039        | 36.0  | 468  | 0.2340          | 0.9472   |
| 0.0038        | 37.0  | 481  | 0.2325          | 0.9472   |
| 0.0037        | 38.0  | 494  | 0.2311          | 0.9501   |
| 0.0038        | 39.0  | 507  | 0.2280          | 0.9501   |
| 0.0037        | 40.0  | 520  | 0.2263          | 0.9531   |
| 0.0036        | 41.0  | 533  | 0.2248          | 0.9531   |
| 0.0036        | 42.0  | 546  | 0.2242          | 0.9531   |
| 0.0036        | 43.0  | 559  | 0.2236          | 0.9531   |
| 0.0035        | 44.0  | 572  | 0.2231          | 0.9560   |
| 0.0035        | 45.0  | 585  | 0.2224          | 0.9560   |
| 0.0035        | 46.0  | 598  | 0.2223          | 0.9560   |
| 0.0035        | 47.0  | 611  | 0.2220          | 0.9560   |
| 0.0035        | 48.0  | 624  | 0.2221          | 0.9560   |
| 0.0034        | 49.0  | 637  | 0.2221          | 0.9560   |
| 0.0035        | 50.0  | 650  | 0.2221          | 0.9560   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "V4_Image_classification__points_durs__google_vit-base-patch16-224-in21k", "results": []}]}
transformers pytorch tensorboard vit image-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us