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
1.4434	1.0	1563	1.0096	0.6615	0	0	None
1.2166	2.0	3126	0.8966	0.7105	0	0	None
1.0902	3.0	4689	0.6084	0.8055	0.4362	0.4362	None
1.0199	4.0	6252	0.5597	0.8205	0.4213	0.4213	None
0.9506	5.0	7815	0.5209	0.8498	0.3895	0.3895	None
0.9107	6.0	9378	0.4494	0.876	0.3590	0.3590	None
0.8529	7.0	10941	0.4090	0.8862	0.3467	0.3467	None
0.8175	8.0	12504	0.4162	0.8845	0.3493	0.3493	None
0.7752	9.0	14067	0.3599	0.906	0.3213	0.3213	None
0.7666	10.0	15630	0.3676	0.893	0.3386	0.3386	None
0.7157	11.0	17193	0.3502	0.9002	0.3293	0.3293	None
0.7059	12.0	18756	0.3251	0.9157	0.3085	0.3085	None
0.6752	13.0	20319	0.3360	0.915	0.3093	0.3093	None
0.6533	14.0	21882	0.2984	0.9247	0.2960	0.2960	None
0.638	15.0	23445	0.3078	0.9215	0.3007	0.3007	None
0.6207	16.0	25008	0.3048	0.9157	0.3089	0.3089	None
0.5924	17.0	26571	0.3071	0.9042	0.3251	0.3251	None
0.5805	18.0	28134	0.2989	0.8992	0.3320	0.3320	None
0.5502	19.0	29697	0.2984	0.8935	0.3399	0.3399	None
0.5487	20.0	31260	0.2850	0.9025	0.3278	0.3278	None