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: 1.4547
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: 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
1.4142	1.0	27	1.4588	0.2
1.43	2.0	54	1.4586	0.2
1.431	3.0	81	1.4584	0.2
1.428	4.0	108	1.4582	0.2
1.4298	5.0	135	1.4581	0.2
1.4162	6.0	162	1.4579	0.2
1.4151	7.0	189	1.4577	0.2
1.4305	8.0	216	1.4576	0.2
1.4174	9.0	243	1.4574	0.2
1.4253	10.0	270	1.4573	0.2
1.413	11.0	297	1.4571	0.2
1.4424	12.0	324	1.4570	0.2
1.4176	13.0	351	1.4569	0.2
1.4068	14.0	378	1.4567	0.2
1.4121	15.0	405	1.4566	0.2
1.4414	16.0	432	1.4565	0.2
1.4193	17.0	459	1.4564	0.2
1.4027	18.0	486	1.4563	0.2
1.4234	19.0	513	1.4561	0.2
1.4191	20.0	540	1.4560	0.2
1.422	21.0	567	1.4559	0.2
1.4308	22.0	594	1.4558	0.2
1.4159	23.0	621	1.4557	0.2
1.3917	24.0	648	1.4557	0.2
1.4256	25.0	675	1.4556	0.2
1.4297	26.0	702	1.4555	0.2
1.4255	27.0	729	1.4554	0.2
1.4283	28.0	756	1.4553	0.2
1.4093	29.0	783	1.4553	0.2
1.4375	30.0	810	1.4552	0.2
1.4191	31.0	837	1.4551	0.2
1.4114	32.0	864	1.4551	0.2
1.4302	33.0	891	1.4550	0.2
1.4246	34.0	918	1.4550	0.2
1.4179	35.0	945	1.4549	0.2
1.4054	36.0	972	1.4549	0.2
1.4083	37.0	999	1.4549	0.2
1.4246	38.0	1026	1.4548	0.2
1.4277	39.0	1053	1.4548	0.2
1.4249	40.0	1080	1.4548	0.2
1.4275	41.0	1107	1.4547	0.2
1.42	42.0	1134	1.4547	0.2
1.4184	43.0	1161	1.4547	0.2
1.3982	44.0	1188	1.4547	0.2
1.4187	45.0	1215	1.4547	0.2
1.4142	46.0	1242	1.4547	0.2
1.4272	47.0	1269	1.4547	0.2
1.4241	48.0	1296	1.4547	0.2
1.4142	49.0	1323	1.4547	0.2
1.4153	50.0	1350	1.4547	0.2

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_fold1

hushem_5x_deit_base_sgd_00001_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hkivancoral/
hushem_5x_deit_base_sgd_00001_fold1