Boya1_3Class_SGD_1-e3_20Epoch_Beit-large-224_fold1

This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.5544
• Accuracy: 0.7654

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9015	1.0	924	0.9341	0.6112
0.8409	2.0	1848	0.7990	0.6780
0.787	3.0	2772	0.7073	0.7116
0.638	4.0	3696	0.6605	0.7269
0.7348	5.0	4620	0.6355	0.7355
0.5951	6.0	5544	0.6177	0.7396
0.6333	7.0	6468	0.6036	0.7456
0.5506	8.0	7392	0.5938	0.7491
0.5249	9.0	8316	0.5879	0.7526
0.7137	10.0	9240	0.5788	0.7570
0.5106	11.0	10164	0.5775	0.7575
0.6297	12.0	11088	0.5685	0.7608
0.5637	13.0	12012	0.5647	0.7613
0.5879	14.0	12936	0.5617	0.7632
0.4454	15.0	13860	0.5588	0.7649
0.522	16.0	14784	0.5607	0.7630
0.551	17.0	15708	0.5549	0.7660
0.6177	18.0	16632	0.5560	0.7641
0.5656	19.0	17556	0.5549	0.7641
0.6413	20.0	18480	0.5544	0.7654

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.2