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This model is a fine-tuned version of microsoft/resnet-50 on the cifar100 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	0.6174	0.878	0.2328	0.2328	None
1.3345	2.0	782	0.6012	0.872	0.2423	0.2423	None
1.2047	3.0	1173	0.5979	0.8655	0.2523	0.2523	None
1.1404	4.0	1564	0.6006	0.868	0.2486	0.2486	None
1.1404	5.0	1955	0.5918	0.8655	0.2524	0.2524	None
1.0818	6.0	2346	0.5897	0.873	0.2408	0.2408	None
1.0228	7.0	2737	0.5881	0.864	0.2547	0.2547	None
0.9755	8.0	3128	0.5969	0.8505	0.2749	0.2749	None
0.9449	9.0	3519	0.5783	0.852	0.2726	0.2726	None
0.9449	10.0	3910	0.5899	0.8575	0.2644	0.2644	None
0.9117	11.0	4301	0.5938	0.8375	0.2940	0.2940	None
0.8952	12.0	4692	0.5934	0.8355	0.2968	0.2968	None
0.8715	13.0	5083	0.5844	0.836	0.2959	0.2959	None
0.8715	14.0	5474	0.5924	0.823	0.3145	0.3145	None
0.844	15.0	5865	0.5932	0.823	0.3146	0.3146	None
0.8296	16.0	6256	0.5921	0.818	0.3215	0.3215	None
0.8166	17.0	6647	0.5986	0.807	0.3370	0.3370	None
0.7943	18.0	7038	0.5931	0.8015	0.3443	0.3443	None
0.7943	19.0	7429	0.5887	0.799	0.3476	0.3476	None
0.7898	20.0	7820	0.5927	0.7965	0.3511	0.3511	None