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	391	0.6875	0.8664	0.2504	0.2504	None
1.6246	2.0	782	0.6795	0.8636	0.2549	0.2549	None
1.3834	3.0	1173	0.6867	0.866	0.2515	0.2515	None
1.2885	4.0	1564	0.6865	0.8662	0.2511	0.2511	None
1.2885	5.0	1955	0.6840	0.8706	0.2445	0.2445	None
1.2276	6.0	2346	0.6792	0.8708	0.2442	0.2442	None
1.1771	7.0	2737	0.6766	0.8658	0.2520	0.2520	None
1.1403	8.0	3128	0.6730	0.8538	0.2701	0.2701	None
1.0981	9.0	3519	0.6641	0.8556	0.2674	0.2674	None
1.0981	10.0	3910	0.6720	0.8408	0.2894	0.2894	None
1.0563	11.0	4301	0.6642	0.8312	0.3033	0.3033	None
1.0297	12.0	4692	0.6774	0.8254	0.3116	0.3116	None
1.0078	13.0	5083	0.6758	0.811	0.3318	0.3318	None
1.0078	14.0	5474	0.6720	0.8048	0.3404	0.3404	None
0.9949	15.0	5865	0.6841	0.781	0.3724	0.3724	None
0.9627	16.0	6256	0.6797	0.7808	0.3728	0.3728	None
0.9487	17.0	6647	0.6814	0.769	0.3882	0.3882	None
0.9371	18.0	7038	0.6773	0.775	0.3806	0.3806	None
0.9371	19.0	7429	0.6796	0.7652	0.3931	0.3931	None
0.9238	20.0	7820	0.6816	0.7632	0.3957	0.3957	None