
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: mse: 23.079, avep: 0.552, top5: 0.555, frac_mc: 0.545, top1: 0.552, mae: 4.747

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

Validation Results - Epoch: 0 Metrics: mse: 23.515, avep: 0.511, top5: 0.486, frac_mc: 0.497, top1: 0.510, mae: 4.789

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 0.30:   8%|▊         | 1/13 [00:00<00:07,  1.60it/s]
ITERATION - loss: 0.35:  54%|█████▍    | 7/13 [00:00<00:02,  2.26it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [00:00<00:00,  3.16it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [00:00<00:00,  3.16it/s]
                                                                       

Training Results - Epoch: 1 Metrics: mse: 0.348, avep: 0.810, top5: 0.839, frac_mc: 0.760, top1: 0.925, mae: 0.464

ITERATION - loss: 0.28:   0%|          | 0/13 [00:01<00:04,  3.16it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: mse: 0.366, avep: 0.795, top5: 0.826, frac_mc: 0.732, top1: 0.930, mae: 0.482

ITERATION - loss: 0.28:   0%|          | 0/13 [00:01<00:04,  3.16it/s]
                                                                      
mse: 0.366
avep: 0.795
top5: 0.826
frac_mc: 0.732
top1: 0.930
mae: 0.482
