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