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sbaner24/
vit-base-patch16-224-Trial007-008-YEL_STEM2

Name: vit-base-patch16-224-Trial007-008-YEL_STEM2
Availability: InStock

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vit-base-patch16-224-Trial007-008-YEL_STEM2

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

Loss: 0.1014
Accuracy: 1.0

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: 5e-05
train_batch_size: 60
eval_batch_size: 60
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 240
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
0.7829	1.0	3	0.6908	0.5769
0.609	2.0	6	0.6573	0.6795
0.5343	3.0	9	0.4127	0.8205
0.4062	4.0	12	0.3091	0.8974
0.322	5.0	15	0.1731	0.9744
0.2056	6.0	18	0.1610	0.9615
0.265	7.0	21	0.1083	0.9744
0.2145	8.0	24	0.0809	0.9872
0.2869	9.0	27	0.1014	1.0
0.1803	10.0	30	0.0499	1.0
0.2353	11.0	33	0.0597	1.0
0.1768	12.0	36	0.0614	1.0
0.2124	13.0	39	0.0574	1.0
0.2366	14.0	42	0.0844	1.0
0.2283	15.0	45	0.0603	0.9872
0.246	16.0	48	0.0537	1.0
0.1636	17.0	51	0.0569	1.0
0.1983	18.0	54	0.0565	1.0
0.1817	19.0	57	0.0684	1.0
0.1835	20.0	60	0.0580	1.0
0.1293	21.0	63	0.0324	1.0
0.1985	22.0	66	0.0398	1.0
0.1827	23.0	69	0.0596	1.0
0.2516	24.0	72	0.0545	1.0
0.1871	25.0	75	0.0620	1.0
0.1853	26.0	78	0.0558	1.0
0.2257	27.0	81	0.0488	1.0
0.159	28.0	84	0.0500	1.0
0.1767	29.0	87	0.0508	1.0
0.1841	30.0	90	0.0599	1.0
0.1234	31.0	93	0.0602	1.0
0.1836	32.0	96	0.0504	1.0
0.1898	33.0	99	0.0477	1.0
0.187	34.0	102	0.0560	1.0
0.1405	35.0	105	0.0672	1.0
0.188	36.0	108	0.0783	1.0
0.1855	37.0	111	0.0727	1.0
0.1833	38.0	114	0.0611	1.0
0.1957	39.0	117	0.0552	1.0
0.1463	40.0	120	0.0529	1.0
0.1255	41.0	123	0.0541	1.0
0.1558	42.0	126	0.0526	1.0
0.148	43.0	129	0.0513	1.0
0.1703	44.0	132	0.0615	1.0
0.1951	45.0	135	0.0547	1.0
0.1637	46.0	138	0.0536	1.0
0.1754	47.0	141	0.0506	1.0
0.1444	48.0	144	0.0519	1.0
0.1726	49.0	147	0.0545	1.0
0.1439	50.0	150	0.0553	1.0

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.12.1
Datasets 2.12.0
Tokenizers 0.13.1

sbaner24/vit-base-patch16-224-Trial007-008-YEL_STEM2

vit-base-patch16-224-Trial007-008-YEL_STEM2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sbaner24/
vit-base-patch16-224-Trial007-008-YEL_STEM2