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	0.6327	0.73	0.4358	0.4358	None
1.4392	2.0	782	0.6170	0.7343	0.4314	0.4314	None
1.3037	3.0	1173	0.6190	0.725	0.4426	0.4426	None
1.225	4.0	1564	0.6179	0.727	0.4407	0.4407	None
1.225	5.0	1955	0.6194	0.734	0.4321	0.4321	None
1.163	6.0	2346	0.6180	0.7413	0.4233	0.4233	None
1.1193	7.0	2737	0.6156	0.7437	0.4205	0.4205	None
1.0852	8.0	3128	0.6164	0.7537	0.4078	0.4078	None
1.0536	9.0	3519	0.6182	0.749	0.4138	0.4138	None
1.0536	10.0	3910	0.6042	0.7467	0.4165	0.4165	None
1.0197	11.0	4301	0.6099	0.7537	0.4076	0.4076	None
1.0018	12.0	4692	0.6162	0.7543	0.4069	0.4069	None
0.9802	13.0	5083	0.6092	0.7523	0.4095	0.4095	None
0.9802	14.0	5474	0.6044	0.7413	0.4229	0.4229	None
0.9637	15.0	5865	0.6060	0.743	0.4208	0.4208	None
0.9511	16.0	6256	0.6037	0.747	0.4159	0.4159	None
0.9357	17.0	6647	0.6051	0.7507	0.4110	0.4110	None
0.9273	18.0	7038	0.6015	0.7503	0.4116	0.4116	None
0.9273	19.0	7429	0.6019	0.7397	0.4248	0.4248	None
0.9155	20.0	7820	0.6048	0.7383	0.4264	0.4264	None