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

Loss: 6.6738
Accuracy: 0.3355
Precision: 0.4688
Recall: 0.3355
F1: 0.2701

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: 0.0001
train_batch_size: 24
eval_batch_size: 4
seed: 42
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
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3133	1.0	334	3.3993	0.3685	0.5578	0.3685	0.3520
0.0981	2.0	668	4.3016	0.3603	0.5583	0.3603	0.3196
0.0628	3.0	1002	4.9479	0.3386	0.3274	0.3386	0.2681
0.0466	4.0	1336	4.8740	0.3150	0.4302	0.3150	0.2640
0.0297	5.0	1670	6.3499	0.3087	0.2861	0.3087	0.2053
0.0195	6.0	2004	5.5555	0.3498	0.4355	0.3498	0.2700
0.0261	7.0	2338	5.7446	0.3446	0.4763	0.3446	0.2888
0.0186	8.0	2672	6.0125	0.3107	0.3748	0.3107	0.2341
0.0117	9.0	3006	5.8823	0.3099	0.3911	0.3099	0.2456
0.0116	10.0	3340	5.9882	0.3331	0.4533	0.3331	0.2682
0.0048	11.0	3674	5.7636	0.3028	0.4634	0.3028	0.2980
0.0095	12.0	4008	6.1077	0.3228	0.4431	0.3228	0.2770
0.0011	13.0	4342	6.2826	0.3135	0.4474	0.3135	0.2744
0.0021	14.0	4676	6.2547	0.3503	0.4589	0.3503	0.2997
0.0013	15.0	5010	6.2053	0.3472	0.4804	0.3472	0.3102
0.0009	16.0	5344	6.6696	0.3405	0.4513	0.3405	0.2825
0.0001	17.0	5678	6.8090	0.3467	0.4797	0.3467	0.2853
0.0015	18.0	6012	6.5591	0.3379	0.4661	0.3379	0.2813
0.0001	19.0	6346	6.6722	0.3345	0.4674	0.3345	0.2724
0.0004	20.0	6680	6.6738	0.3355	0.4688	0.3355	0.2701

Framework versions

Transformers 4.53.0.dev0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1

goodcasper/vit_itri_downsample_normal

vit_itri_downsample_normal

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

goodcasper/
vit_itri_downsample_normal