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Andron00e/
ViTForImageClassification

Name: ViTForImageClassification
Rating: 2.5 (10 reviews)

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ViTForImageClassification

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the CIFAR10 dataset. It achieves the following results on the evaluation set:

Straightforward tuning of all model's parameters.

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2995	0.27	100	0.3419	0.9108
0.2289	0.53	200	0.2482	0.9288
0.1811	0.8	300	0.2139	0.9357
0.0797	1.07	400	0.1813	0.946
0.1128	1.33	500	0.1741	0.9452
0.086	1.6	600	0.1659	0.9513
0.0815	1.87	700	0.1468	0.9547
0.048	2.13	800	0.1393	0.9592
0.021	2.4	900	0.1399	0.9603
0.0271	2.67	1000	0.1334	0.9642
0.0231	2.93	1100	0.1228	0.9658
0.0101	3.2	1200	0.1229	0.9673
0.0041	3.47	1300	0.1189	0.9675
0.0043	3.73	1400	0.1165	0.9683
0.0067	4.0	1500	0.1145	0.9697