Running Evaluation on pretrained model

[Akashdeep1000]

While running evaluate mode directly through command line ">python trainer.py --arch resnet20 --pretrained --evaluate --print-freq 5
Files already downloaded and verified
Test: [0/79] Time 13.405 (13.405) Loss 55.9279 (55.9279) Prec@1 6.250 (6.250)
Test: [5/79] Time 0.006 (2.239) Loss 48.1283 (57.7435) Prec@1 3.906 (5.599)
Test: [10/79] Time 0.005 (1.224) Loss 56.3518 (57.2674) Prec@1 5.469 (6.250)
Test: [15/79] Time 0.006 (0.843) Loss 54.6870 (57.2780) Prec@1 7.031 (6.201)
Test: [20/79] Time 0.006 (0.644) Loss 60.2548 (57.5978) Prec@1 7.031 (5.952)
Test: [25/79] Time 0.006 (0.521) Loss 58.7205 (57.5096) Prec@1 9.375 (6.160)
Test: [30/79] Time 0.006 (0.438) Loss 52.3959 (57.5041) Prec@1 7.031 (6.174)
Test: [35/79] Time 0.006 (0.378) Loss 54.9284 (57.7886) Prec@1 6.250 (6.033)
Test: [40/79] Time 0.005 (0.333) Loss 60.2110 (57.8033) Prec@1 6.250 (6.040)
Test: [45/79] Time 0.005 (0.297) Loss 57.6955 (57.9990) Prec@1 6.250 (6.063)
Test: [50/79] Time 0.004 (0.268) Loss 60.3893 (58.1968) Prec@1 5.469 (6.066)
Test: [55/79] Time 0.004 (0.245) Loss 66.5257 (58.4542) Prec@1 4.688 (5.957)
Test: [60/79] Time 0.006 (0.225) Loss 64.6813 (58.2924) Prec@1 7.812 (6.019)
Test: [65/79] Time 0.005 (0.209) Loss 51.3470 (57.9437) Prec@1 7.031 (6.120)
Test: [70/79] Time 0.006 (0.194) Loss 64.6101 (57.9421) Prec@1 8.594 (6.184)
Test: [75/79] Time 0.004 (0.182) Loss 60.6900 (57.9247) Prec@1 3.125 (6.075)"

for example the classification rate was not printing out. I tried with different models but still this issue remains