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	0.2369	0.939	0.2757	0.2757	None
0.6107	2.0	782	0.1853	0.944	0.2690	0.2690	None
0.527	3.0	1173	0.1766	0.944	0.2692	0.2692	None
0.4728	4.0	1564	0.1514	0.958	0.2483	0.2483	None
0.4728	5.0	1955	0.1536	0.943	0.2709	0.2709	None
0.436	6.0	2346	0.1555	0.944	0.2695	0.2695	None
0.4043	7.0	2737	0.1521	0.925	0.2975	0.2975	None
0.3804	8.0	3128	0.1659	0.886	0.3517	0.3517	None
0.3626	9.0	3519	0.1401	0.87	0.3735	0.3735	None
0.3626	10.0	3910	0.1499	0.791	0.4712	0.4712	None
0.3338	11.0	4301	0.1472	0.719	0.5509	0.5509	None
0.3133	12.0	4692	0.1427	0.683	0.5876	0.5876	None
0.2956	13.0	5083	0.1478	0.509	0.7411	0.7411	None
0.2956	14.0	5474	0.1549	0.457	0.7807	0.7807	None
0.2781	15.0	5865	0.1523	0.356	0.8511	0.8511	None
0.2613	16.0	6256	0.1521	0.273	0.9035	0.9035	None
0.2467	17.0	6647	0.1502	0.252	0.9164	0.9164	None
0.2342	18.0	7038	0.1504	0.197	0.9479	0.9479	None
0.2342	19.0	7429	0.1495	0.179	0.9582	0.9582	None
0.2211	20.0	7820	0.1442	0.164	0.9667	0.9667	None