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	0.6020	0.717	0.4522	0.4522	None
1.1866	2.0	782	0.5913	0.716	0.4535	0.4535	None
1.1347	3.0	1173	0.5741	0.723	0.4458	0.4458	None
1.0735	4.0	1564	0.5613	0.722	0.4469	0.4469	None
1.0735	5.0	1955	0.5598	0.721	0.4480	0.4480	None
1.0315	6.0	2346	0.5530	0.718	0.4515	0.4515	None
0.9929	7.0	2737	0.5547	0.733	0.4333	0.4333	None
0.9558	8.0	3128	0.5559	0.717	0.4524	0.4524	None
0.9304	9.0	3519	0.5592	0.732	0.4342	0.4342	None
0.9304	10.0	3910	0.5506	0.72	0.4489	0.4489	None
0.9049	11.0	4301	0.5505	0.722	0.4464	0.4464	None
0.8769	12.0	4692	0.5510	0.722	0.4461	0.4461	None
0.8658	13.0	5083	0.5466	0.716	0.4531	0.4531	None
0.8658	14.0	5474	0.5490	0.736	0.4291	0.4291	None
0.843	15.0	5865	0.5453	0.719	0.4494	0.4494	None
0.8327	16.0	6256	0.5459	0.724	0.4434	0.4434	None
0.8312	17.0	6647	0.5457	0.732	0.4336	0.4336	None
0.8101	18.0	7038	0.5424	0.719	0.4492	0.4492	None
0.8101	19.0	7429	0.5457	0.726	0.4409	0.4409	None
0.8044	20.0	7820	0.5439	0.725	0.4421	0.4421	None