metadata

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: []

swin-tiny-test-evaluate

This model is a fine-tuned version of 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