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This model is a fine-tuned version of microsoft/resnet-50 on the cifar10 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	0.2105	0.932	0.2862	0.2862	None
0.6083	2.0	782	0.1862	0.934	0.2836	0.2836	None
0.528	3.0	1173	0.1642	0.95	0.2603	0.2603	None
0.4778	4.0	1564	0.1627	0.954	0.2543	0.2543	None
0.4778	5.0	1955	0.1515	0.941	0.2740	0.2740	None
0.4386	6.0	2346	0.1407	0.929	0.2916	0.2916	None
0.4037	7.0	2737	0.1541	0.919	0.3061	0.3061	None
0.3811	8.0	3128	0.1467	0.898	0.3357	0.3357	None
0.3624	9.0	3519	0.1406	0.869	0.3749	0.3749	None
0.3624	10.0	3910	0.1535	0.836	0.4169	0.4169	None
0.3346	11.0	4301	0.1471	0.708	0.5620	0.5620	None
0.3182	12.0	4692	0.1509	0.611	0.6552	0.6552	None
0.2995	13.0	5083	0.1492	0.574	0.6880	0.6880	None
0.2995	14.0	5474	0.1579	0.403	0.8192	0.8192	None
0.282	15.0	5865	0.1519	0.337	0.8635	0.8635	None
0.2671	16.0	6256	0.1416	0.326	0.8713	0.8713	None
0.2421	17.0	6647	0.1513	0.21	0.9394	0.9394	None
0.2331	18.0	7038	0.1439	0.163	0.9659	0.9659	None
0.2331	19.0	7429	0.1358	0.178	0.9584	0.9584	None
0.2205	20.0	7820	0.1367	0.167	0.9645	0.9645	None