beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd

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: 0.0298
• Accuracy: 0.9934

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
0.5462	1.0	199	0.7931	0.4728
0.2496	2.0	398	0.9185	0.2074
0.2173	3.0	597	0.9486	0.1305
0.1009	4.0	796	0.9623	0.0964
0.1528	5.0	995	0.9717	0.0662
0.0893	6.0	1194	0.9774	0.0549
0.0786	7.0	1393	0.9802	0.0505
0.0254	8.0	1592	0.0643	0.9783
0.1112	9.0	1791	0.0311	0.9915
0.0428	10.0	1990	0.0484	0.9802
0.0842	11.0	2189	0.0482	0.9863
0.0129	12.0	2388	0.0372	0.9896
0.1463	13.0	2587	0.0404	0.9882
0.0582	14.0	2786	0.0589	0.9821
0.0063	15.0	2985	0.0298	0.9934

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3