Boya1_SGD_1-e3_20Epoch_09Momentum_Beit-base-patch16_fold1

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.8239
• Accuracy: 0.4165

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
2.5085	1.0	924	2.4731	0.1963
2.3692	2.0	1848	2.3352	0.2465
2.3278	3.0	2772	2.2372	0.2780
2.1219	4.0	3696	2.1632	0.3044
2.2732	5.0	4620	2.1014	0.3342
2.0973	6.0	5544	2.0509	0.3511
2.0974	7.0	6468	2.0095	0.3633
2.0888	8.0	7392	1.9760	0.3698
1.9477	9.0	8316	1.9428	0.3842
1.937	10.0	9240	1.9178	0.3932
1.9658	11.0	10164	1.8968	0.3932
1.9052	12.0	11088	1.8809	0.3975
1.7933	13.0	12012	1.8676	0.4032
1.9046	14.0	12936	1.8552	0.4062
1.8301	15.0	13860	1.8450	0.4075
1.8479	16.0	14784	1.8378	0.4122
1.8401	17.0	15708	1.8313	0.4138
1.7985	18.0	16632	1.8281	0.4154
1.8691	19.0	17556	1.8245	0.4181
1.8762	20.0	18480	1.8239	0.4165

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1