
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 [00:05<?, ?it/s]
ITERATION - loss: 0.02:   2%|▏         | 1/63 [00:05<05:52,  5.69s/it]
ITERATION - loss: 0.03:  17%|█▋        | 11/63 [00:05<03:27,  3.98s/it]
ITERATION - loss: 0.04:  35%|███▍      | 22/63 [00:05<01:54,  2.79s/it]
ITERATION - loss: 0.03:  52%|█████▏    | 33/63 [00:06<00:58,  1.96s/it]
ITERATION - loss: 0.03:  68%|██████▊   | 43/63 [00:06<00:27,  1.37s/it]
ITERATION - loss: 0.03:  83%|████████▎ | 52/63 [00:06<00:10,  1.04it/s]
ITERATION - loss: 0.04: 100%|██████████| 63/63 [00:06<00:00,  1.47it/s]
ITERATION - loss: 0.04: 100%|██████████| 63/63 [00:06<00:00,  1.47it/s]
Training Results - Epoch: 1 Metrics: top5: 0.927, top1: 0.968, mae: 1.983, frac_mc: 0.858, avep: 0.903, mse: 6.558

                                                                       

ITERATION - loss: 0.04:   0%|          | 0/63 [00:10<00:42,  1.47it/s]
Validation Results - Epoch: 1 Metrics: top5: 0.924, top1: 0.974, mae: 1.943, frac_mc: 0.850, avep: 0.895, mse: 6.357

                                                                      

ITERATION - loss: 0.04:   0%|          | 0/63 [00:10<00:42,  1.47it/s]
                                                                      
top5: 0.924
top1: 0.974
mae: 1.943
frac_mc: 0.850
avep: 0.895
mse: 6.357
