
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: mse: 78.642, avep: 0.671, top5: 0.682, frac_mc: 0.675, top1: 0.745, mae: 7.847

ITERATION - loss: 0.00:   0%|          | 0/63 [00:02<?, ?it/s]
                                                              

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

ITERATION - loss: 0.00:   0%|          | 0/63 [00:02<?, ?it/s]
ITERATION - loss: 12.21:   2%|▏         | 1/63 [00:02<03:00,  2.92s/it]
ITERATION - loss: 17.79:  37%|███▋      | 23/63 [00:03<01:21,  2.04s/it]
ITERATION - loss: 10.77:  65%|██████▌   | 41/63 [00:03<00:31,  1.43s/it]
ITERATION - loss: 14.64: 100%|██████████| 63/63 [00:03<00:00,  1.43s/it]
                                                                        

ITERATION - loss: 14.64:   0%|          | 0/63 [00:05<01:30,  1.43s/it]
Training Results - Epoch: 1 Metrics: mse: 17.072, avep: 0.671, top5: 0.682, frac_mc: 0.675, top1: 0.745, mae: 3.630

                                                                       

Validation Results - Epoch: 1 Metrics: mse: 16.339, avep: 0.662, top5: 0.680, frac_mc: 0.664, top1: 0.746, mae: 3.569

ITERATION - loss: 14.64:   0%|          | 0/63 [00:06<01:30,  1.43s/it]
                                                                       
mse: 16.339
avep: 0.662
top5: 0.680
frac_mc: 0.664
top1: 0.746
mae: 3.569
