87

This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Model description

More information needed

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More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
1.4402	1.0	1563	1.1917	0.5966	0	0	None
1.2356	2.0	3126	0.7993	0.743	0	0	None
1.1154	3.0	4689	0.6559	0.7978	0.4440	0.4440	None
1.0499	4.0	6252	0.5290	0.8382	0.4024	0.4024	None
0.9743	5.0	7815	0.5335	0.8452	0.3948	0.3948	None
0.9415	6.0	9378	0.4884	0.863	0.3744	0.3744	None
0.8913	7.0	10941	0.4308	0.883	0.3504	0.3504	None
0.8536	8.0	12504	0.4299	0.8882	0.3443	0.3443	None
0.8209	9.0	14067	0.4058	0.8966	0.3333	0.3333	None
0.7882	10.0	15630	0.3767	0.908	0.3185	0.3185	None
0.7494	11.0	17193	0.3853	0.907	0.3200	0.3200	None
0.7499	12.0	18756	0.3575	0.9128	0.3124	0.3124	None
0.7211	13.0	20319	0.3299	0.9222	0.2996	0.2996	None
0.6957	14.0	21882	0.3193	0.9264	0.2938	0.2938	None
0.6759	15.0	23445	0.3292	0.919	0.3044	0.3044	None
0.6594	16.0	25008	0.3265	0.9158	0.3089	0.3089	None
0.6348	17.0	26571	0.3205	0.9068	0.3215	0.3215	None
0.6078	18.0	28134	0.3160	0.913	0.3129	0.3129	None
0.5909	19.0	29697	0.3136	0.906	0.3228	0.3228	None
0.5834	20.0	31260	0.3053	0.9088	0.3190	0.3190	None