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: 1.4730
Accuracy: 0.1333

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
1.4315	1.0	27	1.4792	0.1333
1.4149	2.0	54	1.4789	0.1333
1.4076	3.0	81	1.4787	0.1333
1.4207	4.0	108	1.4784	0.1333
1.4176	5.0	135	1.4781	0.1333
1.4263	6.0	162	1.4779	0.1333
1.4107	7.0	189	1.4777	0.1333
1.4322	8.0	216	1.4774	0.1333
1.4251	9.0	243	1.4772	0.1333
1.4152	10.0	270	1.4769	0.1333
1.4192	11.0	297	1.4767	0.1333
1.3919	12.0	324	1.4765	0.1333
1.43	13.0	351	1.4763	0.1333
1.414	14.0	378	1.4761	0.1333
1.4238	15.0	405	1.4759	0.1333
1.4169	16.0	432	1.4757	0.1333
1.4177	17.0	459	1.4756	0.1333
1.4175	18.0	486	1.4754	0.1333
1.4184	19.0	513	1.4752	0.1333
1.4223	20.0	540	1.4751	0.1333
1.4089	21.0	567	1.4749	0.1333
1.409	22.0	594	1.4748	0.1333
1.4409	23.0	621	1.4746	0.1333
1.4227	24.0	648	1.4745	0.1333
1.4077	25.0	675	1.4744	0.1333
1.4191	26.0	702	1.4742	0.1333
1.4141	27.0	729	1.4741	0.1333
1.3944	28.0	756	1.4740	0.1333
1.4213	29.0	783	1.4739	0.1333
1.4096	30.0	810	1.4738	0.1333
1.4271	31.0	837	1.4737	0.1333
1.4292	32.0	864	1.4736	0.1333
1.4137	33.0	891	1.4736	0.1333
1.4102	34.0	918	1.4735	0.1333
1.4169	35.0	945	1.4734	0.1333
1.4263	36.0	972	1.4734	0.1333
1.4324	37.0	999	1.4733	0.1333
1.4156	38.0	1026	1.4733	0.1333
1.4286	39.0	1053	1.4732	0.1333
1.41	40.0	1080	1.4732	0.1333
1.411	41.0	1107	1.4731	0.1333
1.4185	42.0	1134	1.4731	0.1333
1.3968	43.0	1161	1.4731	0.1333
1.4281	44.0	1188	1.4731	0.1333
1.4179	45.0	1215	1.4730	0.1333
1.4304	46.0	1242	1.4730	0.1333
1.4248	47.0	1269	1.4730	0.1333
1.4232	48.0	1296	1.4730	0.1333
1.4271	49.0	1323	1.4730	0.1333
1.4279	50.0	1350	1.4730	0.1333

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

hkivancoral/hushem_5x_deit_base_sgd_00001_fold2

hushem_5x_deit_base_sgd_00001_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hkivancoral/
hushem_5x_deit_base_sgd_00001_fold2