
ITERATION - loss: 0.00:   0%|          | 0/63 [00:00<?, ?it/s]
ITERATION - loss: 0.00:   0%|          | 0/63 [00:00<?, ?it/s]
Training Results - Epoch: 0 Metrics: top5: 0.682, top1: 0.745, mae: 7.847, frac_mc: 0.675, avep: 0.671, mse: 78.642

                                                              

ITERATION - loss: 0.00:   0%|          | 0/63 [00:04<?, ?it/s]
                                                              

Validation Results - Epoch: 0 Metrics: top5: 0.680, top1: 0.746, mae: 7.816, frac_mc: 0.664, avep: 0.662, mse: 77.434

ITERATION - loss: 0.00:   0%|          | 0/63 [00:06<?, ?it/s]
ITERATION - loss: 0.03:   2%|▏         | 1/63 [00:06<06:31,  6.32s/it]
ITERATION - loss: 0.02:  14%|█▍        | 9/63 [00:06<03:59,  4.43s/it]
ITERATION - loss: 0.02:  29%|██▊       | 18/63 [00:06<02:19,  3.10s/it]
ITERATION - loss: 0.02:  44%|████▍     | 28/63 [00:06<01:16,  2.17s/it]
ITERATION - loss: 0.01:  60%|██████    | 38/63 [00:06<00:38,  1.53s/it]
ITERATION - loss: 0.03:  75%|███████▍  | 47/63 [00:06<00:17,  1.07s/it]
ITERATION - loss: 0.03:  89%|████████▉ | 56/63 [00:06<00:05,  1.33it/s]
ITERATION - loss: 0.03: 100%|██████████| 63/63 [00:07<00:00,  1.33it/s]
Training Results - Epoch: 1 Metrics: top5: 0.682, top1: 0.745, mae: 1.016, frac_mc: 0.675, avep: 0.671, mse: 2.261

                                                                       

ITERATION - loss: 0.03:   0%|          | 0/63 [00:13<00:47,  1.33it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: top5: 0.680, top1: 0.746, mae: 1.031, frac_mc: 0.664, avep: 0.662, mse: 2.503

ITERATION - loss: 0.03:   0%|          | 0/63 [00:14<00:47,  1.33it/s]
                                                                      
top5: 0.680
top1: 0.746
mae: 1.031
frac_mc: 0.664
avep: 0.662
mse: 2.503
