swin-base-patch4-window7-224-in22k-finetuned-cifar10

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the cifar10 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0365
• Accuracy: 0.989

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2666	1.0	390	0.0560	0.9817
0.2169	2.0	780	0.0437	0.9864
0.2105	3.0	1170	0.0365	0.989

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2