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

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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	0.7051	0.6968	0.4737	0.4737	None
1.6445	2.0	782	0.6664	0.721	0.4467	0.4467	None
1.416	3.0	1173	0.6688	0.7188	0.4499	0.4499	None
1.3153	4.0	1564	0.6734	0.7312	0.4352	0.4352	None
1.3153	5.0	1955	0.6710	0.7212	0.4476	0.4476	None
1.2594	6.0	2346	0.6645	0.74	0.4248	0.4248	None
1.2152	7.0	2737	0.6612	0.7354	0.4308	0.4308	None
1.184	8.0	3128	0.6642	0.7324	0.4344	0.4344	None
1.1482	9.0	3519	0.6587	0.7452	0.4187	0.4187	None
1.1482	10.0	3910	0.6593	0.7424	0.4222	0.4222	None
1.1145	11.0	4301	0.6525	0.7462	0.4171	0.4171	None
1.0934	12.0	4692	0.6586	0.7406	0.4243	0.4243	None
1.0772	13.0	5083	0.6516	0.7414	0.4234	0.4234	None
1.0772	14.0	5474	0.6542	0.7382	0.4274	0.4274	None
1.0686	15.0	5865	0.6603	0.7354	0.4309	0.4309	None
1.0396	16.0	6256	0.6572	0.7376	0.4279	0.4279	None
1.0273	17.0	6647	0.6584	0.7394	0.4257	0.4257	None
1.0203	18.0	7038	0.6529	0.7334	0.4329	0.4329	None
1.0203	19.0	7429	0.6550	0.7344	0.4316	0.4316	None
1.0086	20.0	7820	0.6549	0.7416	0.4229	0.4229	None