---
license: apache-2.0
base_model: vuongnhathien/SwinV2-30VNFood
tags:
- image-classification
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: swin-tiny-test-evaluate
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# swin-tiny-test-evaluate

This model is a fine-tuned version of [vuongnhathien/SwinV2-30VNFood](https://huggingface.co/vuongnhathien/SwinV2-30VNFood) on the vuongnhathien/30VNFoods dataset.

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2