
ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
                                                              

Training Results - Epoch: 0 Metrics: top5: 0.670, top1: 0.640, mae: 10.426, frac_mc: 0.674, avep: 0.668, mse: 137.002

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
Validation Results - Epoch: 0 Metrics: top5: 0.714, top1: 0.750, mae: 10.579, frac_mc: 0.703, avep: 0.688, mse: 138.582
                                                              


ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
ITERATION - loss: 0.03:   8%|▊         | 1/13 [00:01<00:14,  1.24s/it]
ITERATION - loss: 0.03:  31%|███       | 4/13 [00:01<00:07,  1.13it/s]
ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:01<00:03,  1.60it/s]
ITERATION - loss: 0.03:  85%|████████▍ | 11/13 [00:01<00:00,  2.23it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:01<00:00,  2.23it/s]
                                                                       

Training Results - Epoch: 1 Metrics: top5: 0.917, top1: 0.940, mae: 1.869, frac_mc: 0.884, avep: 0.914, mse: 5.473

ITERATION - loss: 0.03:   0%|          | 0/13 [00:02<00:05,  2.23it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: top5: 0.930, top1: 0.970, mae: 2.080, frac_mc: 0.895, avep: 0.919, mse: 6.547

ITERATION - loss: 0.03:   0%|          | 0/13 [00:02<00:05,  2.23it/s]
                                                                      
top5: 0.930
top1: 0.970
mae: 2.080
frac_mc: 0.895
avep: 0.919
mse: 6.547
