---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beans-deit-tiny-patch16-224
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# beans-deit-tiny-patch16-224

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0576
- Accuracy: 0.9774

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3159        | 1.0   | 130  | 0.2388          | 0.9173   |
| 0.2644        | 2.0   | 260  | 0.1986          | 0.9323   |
| 0.18          | 3.0   | 390  | 0.0875          | 0.9774   |
| 0.1356        | 4.0   | 520  | 0.1328          | 0.9549   |
| 0.2743        | 5.0   | 650  | 0.0844          | 0.9699   |
| 0.0601        | 6.0   | 780  | 0.0722          | 0.9774   |
| 0.0679        | 7.0   | 910  | 0.0805          | 0.9699   |
| 0.1452        | 8.0   | 1040 | 0.0576          | 0.9774   |
| 0.0451        | 9.0   | 1170 | 0.0706          | 0.9774   |
| 0.1342        | 10.0  | 1300 | 0.0724          | 0.9774   |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.1.2+cu118
- Datasets 2.19.1
- Tokenizers 0.15.2