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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

More information needed

More information needed

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	0.2832	0.9402	0.2742	0.2742	None
0.8306	2.0	782	0.2794	0.9546	0.2532	0.2532	None
0.7354	3.0	1173	0.2579	0.9622	0.2416	0.2416	None
0.6887	4.0	1564	0.2421	0.9596	0.2458	0.2458	None
0.6887	5.0	1955	0.2346	0.9598	0.2455	0.2455	None
0.6537	6.0	2346	0.2406	0.9502	0.2600	0.2600	None
0.6158	7.0	2737	0.2387	0.9442	0.2691	0.2691	None
0.5938	8.0	3128	0.2332	0.9362	0.2811	0.2811	None
0.5696	9.0	3519	0.2577	0.892	0.3434	0.3434	None
0.5696	10.0	3910	0.2265	0.8782	0.3623	0.3623	None
0.5371	11.0	4301	0.2338	0.822	0.4338	0.4338	None
0.512	12.0	4692	0.2070	0.772	0.4926	0.4926	None
0.4839	13.0	5083	0.2360	0.6422	0.6232	0.6232	None
0.4839	14.0	5474	0.2542	0.5296	0.7170	0.7170	None
0.4536	15.0	5865	0.2588	0.4442	0.7803	0.7803	None
0.4199	16.0	6256	0.2415	0.4114	0.8041	0.8041	None
0.3913	17.0	6647	0.2512	0.3178	0.8628	0.8628	None
0.3653	18.0	7038	0.2667	0.2494	0.9010	0.9010	None
0.3653	19.0	7429	0.2513	0.257	0.8985	0.8985	None
0.3456	20.0	7820	0.2477	0.2464	0.9059	0.9059	None