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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	0.6765	0.7126	0.4565	0.4565	None
1.6488	2.0	782	0.6686	0.711	0.4586	0.4586	None
1.4178	3.0	1173	0.6569	0.7214	0.4471	0.4471	None
1.3248	4.0	1564	0.6695	0.7182	0.4507	0.4507	None
1.3248	5.0	1955	0.6762	0.7266	0.4406	0.4406	None
1.2649	6.0	2346	0.6567	0.725	0.4433	0.4433	None
1.2141	7.0	2737	0.6617	0.7396	0.4254	0.4254	None
1.1831	8.0	3128	0.6643	0.735	0.4310	0.4310	None
1.1499	9.0	3519	0.6719	0.7276	0.4401	0.4401	None
1.1499	10.0	3910	0.6558	0.7392	0.4261	0.4261	None
1.116	11.0	4301	0.6574	0.7388	0.4265	0.4265	None
1.1087	12.0	4692	0.6575	0.7388	0.4264	0.4264	None
1.0802	13.0	5083	0.6562	0.738	0.4273	0.4273	None
1.0802	14.0	5474	0.6531	0.74	0.4249	0.4249	None
1.0629	15.0	5865	0.6543	0.7404	0.4244	0.4244	None
1.0455	16.0	6256	0.6502	0.7426	0.4214	0.4214	None
1.0271	17.0	6647	0.6578	0.7334	0.4329	0.4329	None
1.0224	18.0	7038	0.6542	0.7362	0.4294	0.4294	None
1.0224	19.0	7429	0.6537	0.7444	0.4194	0.4194	None
1.0106	20.0	7820	0.6559	0.741	0.4236	0.4236	None