swin-tiny-patch4-window7-224-finetunedRCC_Classifier

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

• Loss: 6.0707
• F1: 0.0140

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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	F1
0.0016	1.0	155	5.7392	0.0080
0.0008	2.0	310	5.3965	0.0218
0.0	3.0	465	6.0707	0.0140

Framework versions

• Transformers 4.34.1
• Pytorch 1.12.1
• Datasets 2.14.5
• Tokenizers 0.14.1