
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: 0.963, top1: 1.000, mae: 11440372.360, frac_mc: 0.920, avep: 0.960, mse: 140876325186437.125

ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
                                                              

Validation Results - Epoch: 0 Metrics: top5: 0.950, top1: 0.990, mae: 11397120.320, frac_mc: 0.901, avep: 0.947, mse: 139260255157616.641

ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
ITERATION - loss: 146934773841920.00:   8%|▊         | 1/13 [00:01<00:18,  1.51s/it]
ITERATION - loss: 137115690074112.00:  46%|████▌     | 6/13 [00:01<00:07,  1.06s/it]
ITERATION - loss: 142984662220800.00:  69%|██████▉   | 9/13 [00:01<00:03,  1.32it/s]
ITERATION - loss: 132740536074240.00:  92%|█████████▏| 12/13 [00:01<00:00,  1.84it/s]
ITERATION - loss: 138447004106752.00: 100%|██████████| 13/13 [00:01<00:00,  1.84it/s]
                                                                                     

Training Results - Epoch: 1 Metrics: top5: 0.963, top1: 1.000, mae: 11440374.240, frac_mc: 0.920, avep: 0.960, mse: 140876326528614.406

ITERATION - loss: 138447004106752.00:   0%|          | 0/13 [00:03<00:07,  1.84it/s]
                                                                                    
Validation Results - Epoch: 1 Metrics: top5: 0.950, top1: 0.990, mae: 11397120.320, frac_mc: 0.901, avep: 0.947, mse: 139260255157616.641


ITERATION - loss: 138447004106752.00:   0%|          | 0/13 [00:03<00:07,  1.84it/s]
                                                                                    
top5: 0.950
top1: 0.990
mae: 11397120.320
frac_mc: 0.901
avep: 0.947
mse: 139260255157616.641
