87

This model is a fine-tuned version of microsoft/resnet-50 on the cifar10 dataset. It achieves the following results on the evaluation set:

Model description

More information needed

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.2827	0.9333	0.2840	0.2840	None
0.7393	2.0	782	0.2229	0.9477	0.2636	0.2636	None
0.653	3.0	1173	0.2032	0.9543	0.2538	0.2538	None
0.5959	4.0	1564	0.1937	0.953	0.2559	0.2559	None
0.5959	5.0	1955	0.1929	0.9563	0.2509	0.2509	None
0.5664	6.0	2346	0.1907	0.9583	0.2479	0.2479	None
0.5215	7.0	2737	0.1926	0.9417	0.2731	0.2731	None
0.5026	8.0	3128	0.1967	0.937	0.2799	0.2799	None
0.4776	9.0	3519	0.2049	0.907	0.3230	0.3230	None
0.4776	10.0	3910	0.2077	0.8493	0.3997	0.3997	None
0.4491	11.0	4301	0.2015	0.8087	0.4498	0.4498	None
0.4197	12.0	4692	0.2066	0.7193	0.5493	0.5493	None
0.4003	13.0	5083	0.2028	0.633	0.6331	0.6331	None
0.4003	14.0	5474	0.2052	0.5423	0.7113	0.7113	None
0.3805	15.0	5865	0.2073	0.4583	0.7744	0.7744	None
0.3473	16.0	6256	0.2103	0.371	0.8354	0.8354	None
0.3269	17.0	6647	0.2149	0.281	0.8905	0.8905	None
0.3099	18.0	7038	0.2073	0.2597	0.9031	0.9031	None
0.3099	19.0	7429	0.2085	0.2157	0.9282	0.9282	None
0.2906	20.0	7820	0.1993	0.226	0.9242	0.9242	None