---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-1stGen-Pokemon-Images
  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. -->

# vit-base-1stGen-Pokemon-Images

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the Dusduo/1stGen-Pokemon-Images dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0561
- Accuracy: 0.8175

## 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: 0.0003
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4052        | 1.0   | 422  | 2.2029          | 0.6386   |
| 1.4347        | 2.0   | 844  | 1.4776          | 0.7536   |
| 0.9834        | 3.0   | 1266 | 1.2078          | 0.7950   |
| 0.8073        | 4.0   | 1688 | 1.0888          | 0.8187   |
| 0.6758        | 5.0   | 2110 | 1.0561          | 0.8175   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1