This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6649
Accuracy: 0.8

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: 32
eval_batch_size: 32
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
0.3416	1.0	13	0.6767	0.81
0.2745	2.0	26	0.7166	0.81
0.2482	3.0	39	0.7644	0.83
0.2664	4.0	52	0.7142	0.81
0.2372	5.0	65	0.8010	0.85
0.2238	6.0	78	0.8655	0.86
0.1687	7.0	91	0.8156	0.83
0.209	8.0	104	0.8460	0.83
0.4251	9.0	117	0.7301	0.81
0.4392	10.0	130	0.6775	0.78
0.3285	11.0	143	0.7145	0.81
0.3178	12.0	156	0.7431	0.83
0.4715	13.0	169	0.6973	0.81
0.373	14.0	182	0.6912	0.81
0.3378	15.0	195	0.7018	0.82
0.3867	16.0	208	0.6885	0.81
0.3525	17.0	221	0.6761	0.81
0.4253	18.0	234	0.6643	0.8
0.325	19.0	247	0.6643	0.8
0.372	20.0	260	0.6649	0.8

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

system-admin/swin-tiny-patch4-window7-224-finetuned-student_two_classes

swin-tiny-patch4-window7-224-finetuned-student_two_classes

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

system-admin/
swin-tiny-patch4-window7-224-finetuned-student_two_classes