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	0.6446	0.713	0.4565	0.4565	None
1.4346	2.0	782	0.6333	0.723	0.4450	0.4450	None
1.3059	3.0	1173	0.6160	0.729	0.4380	0.4380	None
1.2279	4.0	1564	0.6201	0.7213	0.4472	0.4472	None
1.2279	5.0	1955	0.6216	0.718	0.4515	0.4515	None
1.1618	6.0	2346	0.6099	0.7347	0.4318	0.4318	None
1.1189	7.0	2737	0.6039	0.7413	0.4231	0.4231	None
1.077	8.0	3128	0.6079	0.7277	0.4399	0.4399	None
1.0542	9.0	3519	0.6017	0.7393	0.4257	0.4257	None
1.0542	10.0	3910	0.6094	0.7427	0.4216	0.4216	None
1.0225	11.0	4301	0.6165	0.7493	0.4133	0.4133	None
1.0076	12.0	4692	0.6051	0.752	0.4096	0.4096	None
0.9813	13.0	5083	0.6070	0.747	0.4158	0.4158	None
0.9813	14.0	5474	0.6158	0.7437	0.4202	0.4202	None
0.972	15.0	5865	0.6031	0.7387	0.4260	0.4260	None
0.9511	16.0	6256	0.6046	0.747	0.4156	0.4156	None
0.9314	17.0	6647	0.6126	0.744	0.4196	0.4196	None
0.9265	18.0	7038	0.6113	0.758	0.4020	0.4020	None
0.9265	19.0	7429	0.6046	0.7537	0.4075	0.4075	None
0.9159	20.0	7820	0.6098	0.745	0.4185	0.4185	None