---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
model-index:
- name: ryan_model314_3
  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. -->

# ryan_model314_3

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2547
- Na Accuracy: 0.95
- Ordinal Mae: 1.2090

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
| 0.4505        | 0.2   | 25   | 0.4262          | 0.9         | 1.0092      |
| 0.3847        | 0.4   | 50   | 0.3676          | 0.935       | 1.3719      |
| 0.3061        | 0.6   | 75   | 0.3262          | 0.945       | 0.7486      |
| 0.2744        | 0.8   | 100  | 0.3524          | 0.905       | 1.1408      |
| 0.2384        | 1.0   | 125  | 0.3611          | 0.93        | 0.6747      |
| 0.2021        | 1.2   | 150  | 0.3105          | 0.95        | 1.0441      |
| 0.2234        | 1.4   | 175  | 0.2738          | 0.955       | 1.4168      |
| 0.187         | 1.6   | 200  | 0.2688          | 0.955       | 1.3653      |
| 0.2008        | 1.8   | 225  | 0.2669          | 0.96        | 0.8936      |
| 0.1541        | 2.0   | 250  | 0.2547          | 0.95        | 1.2090      |
| 0.1201        | 2.2   | 275  | 0.2725          | 0.95        | 0.7955      |
| 0.113         | 2.4   | 300  | 0.2818          | 0.955       | 1.2378      |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2