convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20

This model is a fine-tuned version of facebook/convnextv2-large-1k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0353
• Accuracy: 0.9901

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: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.9
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5207	1.0	199	0.4745	0.8887
0.2029	2.0	398	0.2072	0.9401
0.1615	3.0	597	0.1489	0.9547
0.1662	4.0	796	0.1312	0.9562
0.1986	5.0	995	0.1026	0.9698
0.0854	6.0	1194	0.0583	0.9802
0.0538	7.0	1393	0.0568	0.9835
0.0977	8.0	1592	0.0654	0.9793
0.6971	9.0	1791	0.6821	0.5450
0.211	10.0	1990	0.1654	0.9326
0.1775	11.0	2189	0.0859	0.9665
0.0042	12.0	2388	0.0353	0.9901

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3