metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: swinv2-tiny-patch4-window8-256-finetuned-og_dataset_10e
    results: []

swinv2-tiny-patch4-window8-256-finetuned-og_dataset_10e

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1009
eval_accuracy: 0.9611
eval_runtime: 193.4052
eval_samples_per_second: 63.85
eval_steps_per_second: 1.996
epoch: 5.0
step: 2730

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2