---
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: distill-beans-vit-224-to-mobile-net-v2
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: beans
      type: beans
      config: default
      split: validation
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.421875
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 0.7831
- Accuracy: 0.4219

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9165        | 1.0   | 65   | 0.7967          | 0.4361   |
| 0.8929        | 2.0   | 130  | 0.7908          | 0.4211   |


### Framework versions

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