swin-tiny-patch4-window7-224-finetuned-leukemia-08-2024.v1.1

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: 0.3423
• Accuracy: 0.8958

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3578	0.9984	312	1.7841	0.4263
0.2403	2.0	625	0.9414	0.6808
0.1815	2.9984	937	0.6044	0.7784
0.2062	4.0	1250	0.5284	0.7643
0.1212	4.9984	1562	0.4432	0.8488
0.0723	6.0	1875	0.8276	0.7925
0.0656	6.9984	2187	0.3423	0.8958
0.0419	8.0	2500	0.5879	0.8770
0.0469	8.9984	2812	0.5126	0.8854
0.0302	9.984	3120	0.6068	0.8808

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1