42

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	0.6194	0.694	0.4783	0.4783	None
1.1827	2.0	782	0.5829	0.742	0.4223	0.4223	None
1.1136	3.0	1173	0.5843	0.715	0.4550	0.4550	None
1.0822	4.0	1564	0.5616	0.721	0.4482	0.4482	None
1.0822	5.0	1955	0.5752	0.706	0.4662	0.4662	None
1.033	6.0	2346	0.5664	0.717	0.4528	0.4528	None
0.9916	7.0	2737	0.5601	0.718	0.4515	0.4515	None
0.9609	8.0	3128	0.5692	0.739	0.4261	0.4261	None
0.9281	9.0	3519	0.5549	0.705	0.4665	0.4665	None
0.9281	10.0	3910	0.5470	0.728	0.4389	0.4389	None
0.9005	11.0	4301	0.5505	0.723	0.4451	0.4451	None
0.8875	12.0	4692	0.5507	0.722	0.4460	0.4460	None
0.8678	13.0	5083	0.5487	0.722	0.4460	0.4460	None
0.8678	14.0	5474	0.5507	0.729	0.4377	0.4377	None
0.8512	15.0	5865	0.5512	0.716	0.4531	0.4531	None
0.8295	16.0	6256	0.5468	0.735	0.4302	0.4302	None
0.8225	17.0	6647	0.5491	0.727	0.4399	0.4399	None
0.8103	18.0	7038	0.5485	0.732	0.4339	0.4339	None
0.8103	19.0	7429	0.5454	0.728	0.4387	0.4387	None
0.8037	20.0	7820	0.5445	0.751	0.4103	0.4103	None