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sbaner24/
vit-base-patch16-224-Trial006_007_008-YEL_STEM4

Name: vit-base-patch16-224-Trial006_007_008-YEL_STEM4
Availability: InStock

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vit-base-patch16-224-Trial006_007_008-YEL_STEM4

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: 0.0236
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
0.7015	1.0	4	0.6622	0.5769
0.7592	2.0	8	0.6507	0.5769
0.5858	3.0	12	0.6202	0.5673
0.5612	4.0	16	0.4974	0.7019
0.4916	5.0	20	0.4718	0.7692
0.4925	6.0	24	0.3628	0.8173
0.4221	7.0	28	0.3077	0.875
0.4043	8.0	32	0.2262	0.9135
0.3757	9.0	36	0.1462	0.9712
0.2699	10.0	40	0.1450	0.9327
0.2677	11.0	44	0.0960	0.9615
0.2279	12.0	48	0.0745	0.9808
0.2113	13.0	52	0.0645	0.9808
0.1821	14.0	56	0.0649	0.9808
0.2025	15.0	60	0.0434	0.9904
0.1684	16.0	64	0.0433	0.9904
0.1521	17.0	68	0.0564	0.9808
0.258	18.0	72	0.0236	1.0
0.2594	19.0	76	0.0212	1.0
0.2045	20.0	80	0.0160	1.0
0.1947	21.0	84	0.0411	0.9904
0.1871	22.0	88	0.0245	0.9904
0.1702	23.0	92	0.0161	1.0
0.1591	24.0	96	0.0124	1.0
0.1387	25.0	100	0.0137	0.9904
0.146	26.0	104	0.0094	1.0
0.1005	27.0	108	0.0067	1.0
0.1612	28.0	112	0.0051	1.0
0.1821	29.0	116	0.0052	1.0
0.1489	30.0	120	0.0059	1.0
0.1793	31.0	124	0.0057	1.0
0.1624	32.0	128	0.0079	1.0
0.1516	33.0	132	0.0071	1.0
0.1195	34.0	136	0.0054	1.0
0.1854	35.0	140	0.0065	1.0
0.1329	36.0	144	0.0036	1.0
0.0951	37.0	148	0.0025	1.0
0.1886	38.0	152	0.0060	1.0
0.1151	39.0	156	0.0025	1.0
0.1353	40.0	160	0.0045	1.0
0.1455	41.0	164	0.0035	1.0
0.1824	42.0	168	0.0036	1.0
0.1328	43.0	172	0.0051	1.0
0.1349	44.0	176	0.0043	1.0
0.1348	45.0	180	0.0039	1.0
0.1201	46.0	184	0.0042	1.0
0.1087	47.0	188	0.0049	1.0
0.0875	48.0	192	0.0063	1.0
0.1814	49.0	196	0.0069	1.0
0.1342	50.0	200	0.0064	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-Trial006_007_008-YEL_STEM4

vit-base-patch16-224-Trial006_007_008-YEL_STEM4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sbaner24/
vit-base-patch16-224-Trial006_007_008-YEL_STEM4