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	0.6325	0.7065	0.4637	0.4637	None
1.3203	2.0	782	0.6081	0.7145	0.4552	0.4552	None
1.2268	3.0	1173	0.5964	0.711	0.4595	0.4595	None
1.1652	4.0	1564	0.5898	0.723	0.4458	0.4458	None
1.1652	5.0	1955	0.5936	0.718	0.4517	0.4517	None
1.1083	6.0	2346	0.5876	0.729	0.4386	0.4386	None
1.0522	7.0	2737	0.5843	0.7285	0.4392	0.4392	None
1.0295	8.0	3128	0.5749	0.7355	0.4301	0.4301	None
0.9924	9.0	3519	0.5766	0.7255	0.4424	0.4424	None
0.9924	10.0	3910	0.5827	0.734	0.4319	0.4319	None
0.9697	11.0	4301	0.5767	0.7405	0.4238	0.4238	None
0.9491	12.0	4692	0.5791	0.725	0.4428	0.4428	None
0.9337	13.0	5083	0.5770	0.73	0.4367	0.4367	None
0.9337	14.0	5474	0.5808	0.7375	0.4275	0.4275	None
0.9035	15.0	5865	0.5805	0.7385	0.4261	0.4261	None
0.8969	16.0	6256	0.5786	0.735	0.4305	0.4305	None
0.8838	17.0	6647	0.5801	0.722	0.4459	0.4459	None
0.876	18.0	7038	0.5778	0.7365	0.4284	0.4284	None
0.876	19.0	7429	0.5758	0.736	0.4288	0.4288	None
0.8609	20.0	7820	0.5779	0.7335	0.4319	0.4319	None