metadata

library_name: transformers
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window16-256
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: swinv2-tiny-patch4-window16-256-finetuned-plantdisease
    results: []

swinv2-tiny-patch4-window16-256-finetuned-plantdisease

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on the imagefolder 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3