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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

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
1.4321	1.0	1563	1.0087	0.6536	0	0	None
1.2346	2.0	3126	0.7429	0.7762	0.4623	0.4623	None
1.1178	3.0	4689	0.6378	0.8018	0.4403	0.4403	None
1.0291	4.0	6252	0.5725	0.8274	0.4143	0.4143	None
0.9769	5.0	7815	0.5607	0.8452	0.3945	0.3945	None
0.915	6.0	9378	0.4583	0.8782	0.3565	0.3565	None
0.8725	7.0	10941	0.4185	0.8882	0.3442	0.3442	None
0.8419	8.0	12504	0.3911	0.8962	0.3342	0.3342	None
0.816	9.0	14067	0.3885	0.9024	0.3260	0.3260	None
0.7888	10.0	15630	0.3779	0.9074	0.3193	0.3193	None
0.7589	11.0	17193	0.3590	0.9116	0.3138	0.3138	None
0.7313	12.0	18756	0.3429	0.9176	0.3058	0.3058	None
0.7187	13.0	20319	0.3373	0.9264	0.2936	0.2936	None
0.6987	14.0	21882	0.3391	0.9184	0.3049	0.3049	None
0.6628	15.0	23445	0.3328	0.9196	0.3035	0.3035	None
0.6495	16.0	25008	0.3305	0.92	0.3030	0.3030	None
0.6203	17.0	26571	0.3157	0.915	0.3102	0.3102	None
0.6233	18.0	28134	0.3147	0.9122	0.3142	0.3142	None
0.5928	19.0	29697	0.3078	0.9138	0.3121	0.3121	None
0.5808	20.0	31260	0.3131	0.9078	0.3204	0.3204	None