beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled

This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0146
• Accuracy: 0.9958

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-06
• 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: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.5847	1.0	199	0.8030	0.4640
0.2856	2.0	398	0.9354	0.1753
0.156	3.0	597	0.9552	0.1179
0.1049	4.0	796	0.9585	0.1043
0.1399	5.0	995	0.9760	0.0673
0.0423	6.0	1194	0.9802	0.0455
0.078	7.0	1393	0.9802	0.0554
0.1769	8.0	1592	0.9764	0.0556
0.0568	9.0	1791	0.9807	0.0569
0.0728	10.0	1990	0.9915	0.0234
0.0229	11.0	2189	0.9910	0.0240
0.0561	12.0	2388	0.9901	0.0352
0.014	13.0	2587	0.9797	0.0749
0.096	14.0	2786	0.9934	0.0268
0.0005	15.0	2985	0.0146	0.9958

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3