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# vit-base-caltech-ucsd-birds-200-2011

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the bentrevett/caltech-ucsd-birds-200-2011 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0943
- Accuracy: 0.7608

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.0059        | 1.0   | 590  | 4.7309          | 0.1094   |
| 3.5528        | 2.0   | 1180 | 3.2157          | 0.5199   |
| 2.3284        | 3.0   | 1770 | 2.2254          | 0.6455   |
| 1.7561        | 4.0   | 2360 | 1.7277          | 0.6819   |
| 1.5242        | 5.0   | 2950 | 1.5194          | 0.6955   |
| 1.2769        | 6.0   | 3540 | 1.3285          | 0.7396   |
| 1.1813        | 7.0   | 4130 | 1.3044          | 0.7193   |
| 1.097         | 8.0   | 4720 | 1.1878          | 0.7506   |
| 1.1306        | 9.0   | 5310 | 1.1145          | 0.7566   |
| 0.9988        | 10.0  | 5900 | 1.0868          | 0.7506   |
| 0.9887        | 11.0  | 6490 | 1.0760          | 0.7659   |
| 0.9826        | 12.0  | 7080 | 1.0849          | 0.7634   |
| 0.9612        | 13.0  | 7670 | 1.0659          | 0.7642   |
| 0.9679        | 14.0  | 8260 | 1.0939          | 0.7455   |
| 1.0242        | 15.0  | 8850 | 1.0941          | 0.7472   |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.0
- Datasets 3.6.0
- Tokenizers 0.21.1

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