---
license: apache-2.0
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- wiki_art
metrics:
- accuracy
base_model: facebook/convnext-tiny-224
model-index:
- name: convnext-tiny-224-wikiart
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: huggan/wikiart
      type: wiki_art
      config: default
      split: train
      args: default
    metrics:
    - type: accuracy
      value: 0.7140050748956372
      name: Accuracy
---

<!-- 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. -->

# convnext-tiny-224-wikiart

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the huggan/wikiart dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8022
- Accuracy: 0.7140

## 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: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9779        | 1.0   | 8654  | 0.9191          | 0.6743   |
| 0.9959        | 2.0   | 17308 | 0.8523          | 0.6941   |
| 1.0344        | 3.0   | 25962 | 0.8277          | 0.7023   |
| 0.8853        | 4.0   | 34616 | 0.8126          | 0.7100   |
| 0.9557        | 5.0   | 43270 | 0.8022          | 0.7140   |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2