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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	0.6046	0.718	0.4511	0.4511	None
1.3328	2.0	782	0.5995	0.717	0.4526	0.4526	None
1.2184	3.0	1173	0.6007	0.7195	0.4495	0.4495	None
1.1638	4.0	1564	0.5948	0.7205	0.4486	0.4486	None
1.1638	5.0	1955	0.5900	0.71	0.4614	0.4614	None
1.1147	6.0	2346	0.5947	0.72	0.4495	0.4495	None
1.0636	7.0	2737	0.5808	0.737	0.4284	0.4284	None
1.0156	8.0	3128	0.5920	0.7295	0.4377	0.4377	None
0.9939	9.0	3519	0.5792	0.7305	0.4363	0.4363	None
0.9939	10.0	3910	0.5799	0.7255	0.4421	0.4421	None
0.9656	11.0	4301	0.5821	0.733	0.4333	0.4333	None
0.954	12.0	4692	0.5798	0.7385	0.4261	0.4261	None
0.9323	13.0	5083	0.5745	0.7465	0.4163	0.4163	None
0.9323	14.0	5474	0.5799	0.748	0.4146	0.4146	None
0.9093	15.0	5865	0.5742	0.7385	0.4262	0.4262	None
0.8997	16.0	6256	0.5721	0.741	0.4228	0.4228	None
0.8874	17.0	6647	0.5768	0.735	0.4304	0.4304	None
0.8669	18.0	7038	0.5755	0.7525	0.4087	0.4087	None
0.8669	19.0	7429	0.5711	0.7285	0.4382	0.4382	None
0.8662	20.0	7820	0.5745	0.732	0.4340	0.4340	None