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

Loss: 1.3798
Accuracy: 0.2

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: 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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	6	1.4713	0.1333
1.4188	2.0	12	1.4634	0.1333
1.4188	3.0	18	1.4564	0.1333
1.4085	4.0	24	1.4508	0.1333
1.3911	5.0	30	1.4443	0.1333
1.3911	6.0	36	1.4385	0.1333
1.3816	7.0	42	1.4335	0.1333
1.3816	8.0	48	1.4295	0.1111
1.3793	9.0	54	1.4254	0.1111
1.3554	10.0	60	1.4214	0.1111
1.3554	11.0	66	1.4179	0.1111
1.3538	12.0	72	1.4149	0.1111
1.3538	13.0	78	1.4119	0.1333
1.3412	14.0	84	1.4092	0.1333
1.3299	15.0	90	1.4068	0.1333
1.3299	16.0	96	1.4046	0.1333
1.3323	17.0	102	1.4026	0.1333
1.3323	18.0	108	1.4005	0.1556
1.3314	19.0	114	1.3985	0.1556
1.319	20.0	120	1.3965	0.1778
1.319	21.0	126	1.3949	0.1556
1.3167	22.0	132	1.3934	0.1556
1.3167	23.0	138	1.3918	0.1556
1.3277	24.0	144	1.3905	0.1556
1.3028	25.0	150	1.3894	0.1556
1.3028	26.0	156	1.3882	0.1556
1.305	27.0	162	1.3873	0.1556
1.305	28.0	168	1.3863	0.1778
1.2998	29.0	174	1.3854	0.2
1.2987	30.0	180	1.3845	0.2
1.2987	31.0	186	1.3838	0.1778
1.2931	32.0	192	1.3831	0.1778
1.2931	33.0	198	1.3824	0.1778
1.3006	34.0	204	1.3818	0.1778
1.2837	35.0	210	1.3813	0.2
1.2837	36.0	216	1.3809	0.2
1.2882	37.0	222	1.3806	0.2
1.2882	38.0	228	1.3803	0.2
1.2892	39.0	234	1.3801	0.2
1.288	40.0	240	1.3799	0.2
1.288	41.0	246	1.3798	0.2
1.2923	42.0	252	1.3798	0.2
1.2923	43.0	258	1.3798	0.2
1.2814	44.0	264	1.3798	0.2
1.291	45.0	270	1.3798	0.2
1.291	46.0	276	1.3798	0.2
1.2879	47.0	282	1.3798	0.2
1.2879	48.0	288	1.3798	0.2
1.2801	49.0	294	1.3798	0.2
1.2884	50.0	300	1.3798	0.2

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.15.0

hkivancoral/hushem_1x_deit_base_sgd_001_fold2

hushem_1x_deit_base_sgd_001_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hkivancoral/
hushem_1x_deit_base_sgd_001_fold2