87

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

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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	8	-0.5720	0.907	0.1867	0.1867	None
No log	2.0	16	-0.5789	0.896	0.2046	0.2046	None
No log	3.0	24	-0.5897	0.888	0.2173	0.2173	None
No log	4.0	32	-0.6066	0.867	0.2499	0.2499	None
No log	5.0	40	-0.6293	0.86	0.2602	0.2602	None
No log	6.0	48	-0.6500	0.849	0.2763	0.2763	None
No log	7.0	56	-0.6761	0.841	0.2877	0.2877	None
No log	8.0	64	-0.7192	0.822	0.3142	0.3142	None
No log	9.0	72	-0.7608	0.806	0.3356	0.3356	None
No log	10.0	80	-0.8032	0.789	0.3575	0.3575	None
No log	11.0	88	-0.8563	0.771	0.3797	0.3797	None
No log	12.0	96	-0.9071	0.754	0.3997	0.3997	None
No log	13.0	104	-0.9598	0.736	0.4200	0.4200	None
No log	14.0	112	-0.9979	0.723	0.4338	0.4338	None
No log	15.0	120	-1.0410	0.713	0.4442	0.4442	None
No log	16.0	128	-1.0687	0.699	0.4588	0.4588	None
No log	17.0	136	-1.0945	0.696	0.4612	0.4612	None
No log	18.0	144	-1.1147	0.694	0.4628	0.4628	None
No log	19.0	152	-1.1220	0.69	0.4669	0.4669	None
No log	20.0	160	-1.1199	0.695	0.4615	0.4615	None