---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
model-index:
- name: ryan_model3272024
  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_model3272024

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3657
- Na Accuracy: 0.625
- Ordinal Accuracy: 0.4762
- Ordinal Mae: 0.8694

## 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: 0.0002
- 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 Accuracy | Ordinal Mae |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|:-----------:|
| 0.412         | 0.78  | 25   | 0.3861          | 0.875       | 0.2143           | 1.0826      |
| 0.2394        | 1.56  | 50   | 0.4621          | 0.5         | 0.1905           | 1.0658      |
| 0.2287        | 2.34  | 75   | 0.5636          | 0.25        | 0.2857           | 0.9874      |
| 0.1518        | 3.12  | 100  | 0.3832          | 0.625       | 0.3810           | 0.9202      |
| 0.1448        | 3.91  | 125  | 0.3657          | 0.625       | 0.4762           | 0.8694      |


### Framework versions

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