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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

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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	0.6519	0.7123	0.4575	0.4575	None
1.5454	2.0	782	0.6434	0.72	0.4484	0.4484	None
1.3647	3.0	1173	0.6586	0.7153	0.4543	0.4543	None
1.2856	4.0	1564	0.6335	0.724	0.4442	0.4442	None
1.2856	5.0	1955	0.6476	0.7285	0.4387	0.4387	None
1.2233	6.0	2346	0.6329	0.73	0.4374	0.4374	None
1.1651	7.0	2737	0.6232	0.737	0.4286	0.4286	None
1.1337	8.0	3128	0.6422	0.7425	0.4220	0.4220	None
1.1046	9.0	3519	0.6293	0.735	0.4311	0.4311	None
1.1046	10.0	3910	0.6310	0.7462	0.4174	0.4174	None
1.0724	11.0	4301	0.6338	0.747	0.4165	0.4165	None
1.0551	12.0	4692	0.6299	0.7498	0.4127	0.4127	None
1.0333	13.0	5083	0.6252	0.7522	0.4093	0.4093	None
1.0333	14.0	5474	0.6348	0.7365	0.4290	0.4290	None
1.0049	15.0	5865	0.6283	0.7418	0.4226	0.4226	None
1.0002	16.0	6256	0.6279	0.7445	0.4189	0.4189	None
0.986	17.0	6647	0.6359	0.7542	0.4069	0.4069	None
0.967	18.0	7038	0.6286	0.7492	0.4130	0.4130	None
0.967	19.0	7429	0.6261	0.7482	0.4140	0.4140	None
0.9686	20.0	7820	0.6295	0.7405	0.4239	0.4239	None