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

Loss: 1.5763
Accuracy: 0.2093

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: 1e-05
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
1.5114	1.0	28	1.6002	0.1860
1.516	2.0	56	1.5991	0.2093
1.448	3.0	84	1.5981	0.2093
1.5009	4.0	112	1.5971	0.2093
1.646	5.0	140	1.5960	0.2093
1.55	6.0	168	1.5950	0.2093
1.5383	7.0	196	1.5941	0.2093
1.4892	8.0	224	1.5932	0.2093
1.5021	9.0	252	1.5922	0.2093
1.5057	10.0	280	1.5913	0.2093
1.5326	11.0	308	1.5905	0.2093
1.5462	12.0	336	1.5897	0.2093
1.5032	13.0	364	1.5889	0.2093
1.4978	14.0	392	1.5881	0.2093
1.4757	15.0	420	1.5874	0.2093
1.4813	16.0	448	1.5867	0.2093
1.4635	17.0	476	1.5860	0.2093
1.511	18.0	504	1.5853	0.2093
1.4905	19.0	532	1.5847	0.2093
1.4302	20.0	560	1.5841	0.2093
1.5108	21.0	588	1.5835	0.2093
1.504	22.0	616	1.5829	0.2093
1.4924	23.0	644	1.5824	0.2093
1.5112	24.0	672	1.5819	0.2093
1.5256	25.0	700	1.5814	0.2093
1.4493	26.0	728	1.5809	0.2093
1.4989	27.0	756	1.5805	0.2093
1.5477	28.0	784	1.5801	0.2093
1.5116	29.0	812	1.5797	0.2093
1.4275	30.0	840	1.5793	0.2093
1.453	31.0	868	1.5790	0.2093
1.524	32.0	896	1.5786	0.2093
1.5026	33.0	924	1.5783	0.2093
1.4458	34.0	952	1.5780	0.2093
1.4708	35.0	980	1.5778	0.2093
1.5117	36.0	1008	1.5776	0.2093
1.5594	37.0	1036	1.5773	0.2093
1.5028	38.0	1064	1.5771	0.2093
1.4691	39.0	1092	1.5770	0.2093
1.5214	40.0	1120	1.5768	0.2093
1.5285	41.0	1148	1.5767	0.2093
1.4667	42.0	1176	1.5766	0.2093
1.4652	43.0	1204	1.5765	0.2093
1.4952	44.0	1232	1.5765	0.2093
1.4825	45.0	1260	1.5764	0.2093
1.4816	46.0	1288	1.5764	0.2093
1.4911	47.0	1316	1.5764	0.2093
1.5027	48.0	1344	1.5763	0.2093
1.4424	49.0	1372	1.5763	0.2093
1.4881	50.0	1400	1.5763	0.2093

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

hkivancoral/hushem_5x_deit_small_sgd_00001_fold3

hushem_5x_deit_small_sgd_00001_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hkivancoral/
hushem_5x_deit_small_sgd_00001_fold3