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# image_strawbery-peach_classifier

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0386
- Accuracy: 0.9939

## 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: 6e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 48   | 0.1272          | 0.9635   |
| No log        | 2.0   | 96   | 0.0626          | 0.9878   |
| No log        | 3.0   | 144  | 0.0865          | 0.9757   |
| No log        | 4.0   | 192  | 0.0386          | 0.9939   |
| No log        | 5.0   | 240  | 0.0354          | 0.9939   |
| No log        | 6.0   | 288  | 0.0519          | 0.9848   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

rotten_strawberries fresh_peaches rotten_peaches fresh_strawberries