
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: 1.000, mae: 7.424, frac_mc: 0.627, avep: 0.603, mse: 66.947

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
Validation Results - Epoch: 0 Metrics: top5: 0.656, top1: 1.000, mae: 7.259, frac_mc: 0.603, avep: 0.586, mse: 63.169

                                                              

ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
ITERATION - loss: 0.02:   8%|▊         | 1/13 [00:01<00:13,  1.11s/it]
ITERATION - loss: 0.03:  31%|███       | 4/13 [00:01<00:07,  1.27it/s]
ITERATION - loss: 0.03:  54%|█████▍    | 7/13 [00:01<00:03,  1.77it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:01<00:01,  2.45it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [00:01<00:00,  3.38it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [00:01<00:00,  3.38it/s]
                                                                       
Training Results - Epoch: 1 Metrics: top5: 0.953, top1: 0.995, mae: 1.617, frac_mc: 0.899, avep: 0.937, mse: 4.330

ITERATION - loss: 0.02:   0%|          | 0/13 [00:02<00:03,  3.38it/s]
Validation Results - Epoch: 1 Metrics: top5: 0.930, top1: 0.980, mae: 1.590, frac_mc: 0.876, avep: 0.915, mse: 4.264

                                                                      

ITERATION - loss: 0.02:   0%|          | 0/13 [00:02<00:03,  3.38it/s]
                                                                      
top5: 0.930
top1: 0.980
mae: 1.590
frac_mc: 0.876
avep: 0.915
mse: 4.264
