
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: 0.794, top1: 0.795, mae: 11.919, frac_mc: 0.793, avep: 0.797, mse: 143.710

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

Validation Results - Epoch: 0 Metrics: top5: 0.798, top1: 0.750, mae: 11.738, frac_mc: 0.793, avep: 0.799, mse: 139.427

ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
ITERATION - loss: 1.47:   8%|▊         | 1/13 [00:01<00:15,  1.25s/it]
ITERATION - loss: 1.05:  31%|███       | 4/13 [00:01<00:08,  1.12it/s]
ITERATION - loss: 1.10:  54%|█████▍    | 7/13 [00:01<00:03,  1.57it/s]
ITERATION - loss: 1.56:  77%|███████▋  | 10/13 [00:01<00:01,  2.17it/s]
ITERATION - loss: 1.52: 100%|██████████| 13/13 [00:01<00:00,  2.99it/s]
ITERATION - loss: 1.52: 100%|██████████| 13/13 [00:01<00:00,  2.99it/s]
Training Results - Epoch: 1 Metrics: top5: 0.999, top1: 1.000, mae: 0.919, frac_mc: 0.906, avep: 0.957, mse: 1.298
                                                                       


ITERATION - loss: 1.52:   0%|          | 0/13 [00:02<00:04,  2.99it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: top5: 0.998, top1: 1.000, mae: 0.939, frac_mc: 0.913, avep: 0.955, mse: 1.351

ITERATION - loss: 1.52:   0%|          | 0/13 [00:02<00:04,  2.99it/s]
                                                                      
top5: 0.998
top1: 1.000
mae: 0.939
frac_mc: 0.913
avep: 0.955
mse: 1.351
