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# distill-beans-vit-224-to-mobile-net-v2

This model is a fine-tuned version of [](https://huggingface.co/) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4060
- Accuracy: 0.72

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7502        | 1.0   | 50   | 0.5091          | 0.71     |
| 0.5833        | 2.0   | 100  | 0.4521          | 0.71     |
| 0.5376        | 3.0   | 150  | 0.5489          | 0.71     |
| 0.5283        | 4.0   | 200  | 0.4060          | 0.72     |
| 0.5164        | 5.0   | 250  | 0.4413          | 0.7      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0

label_0 label_1 label_2