metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: swin-tiny-patch4-window7-224-finetuned-algae-wirs
    results: []

swin-tiny-patch4-window7-224-finetuned-algae-wirs

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9582
eval_accuracy: 0.6227
eval_runtime: 10.6179
eval_samples_per_second: 160.483
eval_steps_per_second: 5.086
epoch: 27.8
step: 3336

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: 30

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2