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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	0.6640	0.8718	0.2424	0.2424	None
1.5324	2.0	782	0.6619	0.869	0.2467	0.2467	None
1.338	3.0	1173	0.6555	0.874	0.2392	0.2392	None
1.2599	4.0	1564	0.6457	0.8778	0.2334	0.2334	None
1.2599	5.0	1955	0.6594	0.8705	0.2446	0.2446	None
1.1936	6.0	2346	0.6472	0.8675	0.2492	0.2492	None
1.1308	7.0	2737	0.6317	0.877	0.2347	0.2347	None
1.0909	8.0	3128	0.6528	0.866	0.2517	0.2517	None
1.0533	9.0	3519	0.6384	0.8622	0.2575	0.2575	None
1.0533	10.0	3910	0.6374	0.847	0.2802	0.2802	None
1.015	11.0	4301	0.6474	0.8407	0.2895	0.2895	None
0.9935	12.0	4692	0.6396	0.831	0.3035	0.3035	None
0.9688	13.0	5083	0.6372	0.8247	0.3123	0.3123	None
0.9688	14.0	5474	0.6448	0.8133	0.3288	0.3288	None
0.9343	15.0	5865	0.6395	0.8047	0.3404	0.3404	None
0.9257	16.0	6256	0.6405	0.8015	0.3448	0.3448	None
0.9084	17.0	6647	0.6492	0.789	0.3617	0.3617	None
0.885	18.0	7038	0.6422	0.7847	0.3675	0.3675	None
0.885	19.0	7429	0.6404	0.787	0.3643	0.3643	None
0.8848	20.0	7820	0.6432	0.7847	0.3674	0.3674	None