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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	0.6448	0.8733	0.2399	0.2399	None
1.4282	2.0	782	0.6412	0.8697	0.2457	0.2457	None
1.2849	3.0	1173	0.6177	0.8737	0.2398	0.2398	None
1.2039	4.0	1564	0.6238	0.874	0.2393	0.2393	None
1.2039	5.0	1955	0.6190	0.874	0.2394	0.2394	None
1.1339	6.0	2346	0.6177	0.8767	0.2352	0.2352	None
1.0799	7.0	2737	0.6133	0.881	0.2284	0.2284	None
1.0316	8.0	3128	0.6216	0.864	0.2548	0.2548	None
1.0074	9.0	3519	0.6145	0.875	0.2377	0.2377	None
1.0074	10.0	3910	0.6209	0.8597	0.2612	0.2612	None
0.9684	11.0	4301	0.6277	0.851	0.2743	0.2743	None
0.9476	12.0	4692	0.6172	0.8383	0.2928	0.2928	None
0.9182	13.0	5083	0.6218	0.8373	0.2943	0.2943	None
0.9182	14.0	5474	0.6309	0.8193	0.3200	0.3200	None
0.9052	15.0	5865	0.6209	0.826	0.3105	0.3105	None
0.8792	16.0	6256	0.6213	0.8107	0.3319	0.3319	None
0.8564	17.0	6647	0.6284	0.7993	0.3477	0.3477	None
0.8514	18.0	7038	0.6269	0.797	0.3508	0.3508	None
0.8514	19.0	7429	0.6215	0.7937	0.3552	0.3552	None
0.8393	20.0	7820	0.6251	0.791	0.3589	0.3589	None