Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Crack	Iou Background	Iou Crack
0.8203	0.03	5	0.6973	0.3317	0.7410	0.5924	0.5783	0.9037	0.5758	0.0876
0.7469	0.07	10	0.6930	0.3533	0.7185	0.6325	0.6244	0.8125	0.6192	0.0873
0.7324	0.1	15	0.6884	0.3545	0.6605	0.6436	0.6421	0.6788	0.6329	0.0762
0.7079	0.13	20	0.6910	0.2537	0.5518	0.4726	0.4650	0.6386	0.4576	0.0498
0.6472	0.17	25	0.6831	0.2972	0.5734	0.5519	0.5498	0.5969	0.5400	0.0545
0.6344	0.2	30	0.6630	0.4652	0.7477	0.8045	0.8099	0.6854	0.7985	0.1318
0.6264	0.23	35	0.6389	0.5567	0.7850	0.8977	0.9084	0.6617	0.8947	0.2187
0.5811	0.27	40	0.6087	0.6070	0.8069	0.9279	0.9394	0.6745	0.9257	0.2882
0.5928	0.3	45	0.5584	0.6469	0.7851	0.9503	0.9660	0.6042	0.9490	0.3448
0.5312	0.33	50	0.5476	0.6508	0.7789	0.9527	0.9692	0.5886	0.9515	0.3502
0.5209	0.37	55	0.5423	0.6561	0.7665	0.9564	0.9744	0.5586	0.9553	0.3568
0.4675	0.4	60	0.5332	0.6470	0.7529	0.9553	0.9745	0.5313	0.9543	0.3397
0.4831	0.43	65	0.4772	0.6746	0.7502	0.9644	0.9847	0.5157	0.9636	0.3855
0.4512	0.47	70	0.4624	0.6734	0.7830	0.9598	0.9765	0.5895	0.9587	0.3881
0.426	0.5	75	0.4589	0.6688	0.7912	0.9572	0.9730	0.6094	0.9561	0.3815
0.4147	0.53	80	0.4529	0.6769	0.7846	0.9606	0.9773	0.5918	0.9596	0.3942
0.4144	0.57	85	0.4160	0.6767	0.7616	0.9635	0.9827	0.5405	0.9627	0.3908
0.4192	0.6	90	0.3747	0.6612	0.7271	0.9639	0.9863	0.4680	0.9631	0.3593
0.4294	0.63	95	0.3649	0.6495	0.7064	0.9637	0.9880	0.4247	0.9630	0.3359
0.3609	0.67	100	0.3730	0.6480	0.7003	0.9642	0.9893	0.4113	0.9636	0.3324
0.3782	0.7	105	0.3699	0.6584	0.7229	0.9637	0.9865	0.4592	0.9630	0.3538
0.3594	0.73	110	0.3505	0.6638	0.7161	0.9662	0.9899	0.4423	0.9656	0.3619
0.3966	0.77	115	0.3474	0.6720	0.7263	0.9670	0.9898	0.4627	0.9663	0.3776
0.3365	0.8	120	0.3598	0.6710	0.7185	0.9678	0.9915	0.4456	0.9672	0.3748
0.3497	0.83	125	0.3530	0.6752	0.7161	0.9692	0.9932	0.4389	0.9686	0.3817
0.3303	0.87	130	0.3424	0.6792	0.7247	0.9690	0.9922	0.4572	0.9684	0.3899
0.3702	0.9	135	0.3379	0.6823	0.7341	0.9686	0.9908	0.4774	0.9679	0.3967
0.3199	0.93	140	0.3317	0.6858	0.7468	0.9678	0.9888	0.5048	0.9671	0.4044
0.304	0.97	145	0.3189	0.6854	0.7408	0.9685	0.9900	0.4916	0.9678	0.4030
0.3392	1.0	150	0.3347	0.6839	0.7408	0.9681	0.9897	0.4918	0.9674	0.4003

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

varcoder/segformer-b0-DeepCrack

segformer-b0-DeepCrack

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

varcoder/
segformer-b0-DeepCrack