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

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

• Loss: 0.0021
• Accuracy: 0.9993

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: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• 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
0.0253	1.0	889	0.0060	0.9980
0.0134	2.0	1778	0.0031	0.9989
0.0118	3.0	2667	0.0021	0.9993

Framework versions

• Transformers 4.20.1
• Pytorch 1.8.0+cu111
• Datasets 2.3.3.dev0
• Tokenizers 0.12.1