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: 1.0315
Accuracy: 0.6

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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	3.3010	0.2
No log	2.0	4	3.0586	0.2
No log	3.0	6	2.6931	0.4
No log	4.0	8	2.2568	0.6
1.6745	5.0	10	1.8658	0.4
1.6745	6.0	12	1.4990	0.4
1.6745	7.0	14	1.2129	0.6
1.6745	8.0	16	1.0403	0.6
1.6745	9.0	18	0.9412	0.2
0.6008	10.0	20	0.8707	0.6
0.6008	11.0	22	0.7957	0.6
0.6008	12.0	24	0.7709	0.6
0.6008	13.0	26	0.7686	0.6
0.6008	14.0	28	0.7594	0.6
0.3026	15.0	30	0.7892	0.6
0.3026	16.0	32	0.8406	0.6
0.3026	17.0	34	0.9704	0.6
0.3026	18.0	36	1.0912	0.6
0.3026	19.0	38	1.1079	0.6
0.1993	20.0	40	1.1272	0.6
0.1993	21.0	42	1.1378	0.6
0.1993	22.0	44	1.1386	0.6
0.1993	23.0	46	1.1138	0.6
0.1993	24.0	48	1.0729	0.6
0.1889	25.0	50	1.0470	0.6
0.1889	26.0	52	1.0453	0.6
0.1889	27.0	54	1.0442	0.6
0.1889	28.0	56	1.0360	0.6
0.1889	29.0	58	1.0286	0.6
0.1326	30.0	60	1.0315	0.6

Framework versions

Transformers 4.54.1
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.4

natsu39/swin-tiny-patch4-window7-224-finetuned-car-models-classification-car-parts-v003

swin-tiny-patch4-window7-224-finetuned-car-models-classification-car-parts-v003

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

natsu39/
swin-tiny-patch4-window7-224-finetuned-car-models-classification-car-parts-v003