
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: 22.525, avep: 0.622, top5: 0.428, frac_mc: 0.641, top1: 0.242, mae: 4.723, loss: 22.525

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
Validation Results - Epoch: 0 Metrics: mse: 22.530, avep: 0.615, top5: 0.434, frac_mc: 0.632, top1: 0.200, mae: 4.723, loss: 22.530

                                                              

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 22.40:   8%|▊         | 1/13 [00:00<00:09,  1.28it/s]
ITERATION - loss: 9.18:  31%|███       | 4/13 [00:00<00:05,  1.79it/s] 
ITERATION - loss: 0.89:  54%|█████▍    | 7/13 [00:01<00:02,  2.48it/s]
ITERATION - loss: 3.46:  77%|███████▋  | 10/13 [00:01<00:00,  3.42it/s]
ITERATION - loss: 1.47: 100%|██████████| 13/13 [00:01<00:00,  3.42it/s]
                                                                       

Training Results - Epoch: 1 Metrics: mse: 0.758, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.698, loss: 0.758

ITERATION - loss: 1.47:   0%|          | 0/13 [00:01<00:03,  3.42it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: mse: 0.798, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.717, loss: 0.798

ITERATION - loss: 1.47:   0%|          | 0/13 [00:01<00:03,  3.42it/s]
ITERATION - loss: 0.61:  15%|█▌        | 2/13 [00:02<00:03,  2.87it/s]
ITERATION - loss: 1.39:  38%|███▊      | 5/13 [00:02<00:02,  3.93it/s]
ITERATION - loss: 0.91:  62%|██████▏   | 8/13 [00:02<00:00,  5.25it/s]
ITERATION - loss: 0.57:  85%|████████▍ | 11/13 [00:02<00:00,  6.94it/s]
ITERATION - loss: 0.62: 100%|██████████| 13/13 [00:02<00:00,  6.94it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 0.724, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.682, loss: 0.724

ITERATION - loss: 0.62:   0%|          | 0/13 [00:03<00:01,  6.94it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 0.761, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.700, loss: 0.761

ITERATION - loss: 0.62:   0%|          | 0/13 [00:03<00:01,  6.94it/s]
ITERATION - loss: 0.81:  23%|██▎       | 3/13 [00:03<00:01,  5.10it/s]
ITERATION - loss: 0.60:  54%|█████▍    | 7/13 [00:03<00:00,  6.80it/s]
ITERATION - loss: 0.57:  85%|████████▍ | 11/13 [00:03<00:00,  8.71it/s]
ITERATION - loss: 0.60: 100%|██████████| 13/13 [00:03<00:00,  8.71it/s]
                                                                       

Training Results - Epoch: 3 Metrics: mse: 0.623, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.634, loss: 0.623

ITERATION - loss: 0.60:   0%|          | 0/13 [00:04<00:01,  8.71it/s]
                                                                      

Validation Results - Epoch: 3 Metrics: mse: 0.623, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.631, loss: 0.623

ITERATION - loss: 0.60:   0%|          | 0/13 [00:04<00:01,  8.71it/s]
ITERATION - loss: 0.60:  23%|██▎       | 3/13 [00:04<00:01,  5.79it/s]
ITERATION - loss: 0.56:  46%|████▌     | 6/13 [00:04<00:00,  7.47it/s]
ITERATION - loss: 0.60:  77%|███████▋  | 10/13 [00:04<00:00,  9.67it/s]
ITERATION - loss: 0.46: 100%|██████████| 13/13 [00:04<00:00,  9.67it/s]
                                                                       

Training Results - Epoch: 4 Metrics: mse: 0.585, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.613, loss: 0.585

ITERATION - loss: 0.46:   0%|          | 0/13 [00:05<00:01,  9.67it/s]
Validation Results - Epoch: 4 Metrics: mse: 0.596, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.616, loss: 0.596

                                                                      

ITERATION - loss: 0.46:   0%|          | 0/13 [00:05<00:01,  9.67it/s]
ITERATION - loss: 0.55:  23%|██▎       | 3/13 [00:05<00:01,  5.80it/s]
ITERATION - loss: 0.58:  46%|████▌     | 6/13 [00:05<00:00,  7.63it/s]
ITERATION - loss: 0.59:  69%|██████▉   | 9/13 [00:06<00:00,  9.58it/s]
ITERATION - loss: 0.65:  92%|█████████▏| 12/13 [00:06<00:00, 11.90it/s]
ITERATION - loss: 0.57: 100%|██████████| 13/13 [00:06<00:00, 11.90it/s]
                                                                       

Training Results - Epoch: 5 Metrics: mse: 0.583, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.612, loss: 0.583

ITERATION - loss: 0.57:   0%|          | 0/13 [00:06<00:01, 11.90it/s]
Validation Results - Epoch: 5 Metrics: mse: 0.595, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.616, loss: 0.595

                                                                      

ITERATION - loss: 0.57:   0%|          | 0/13 [00:06<00:01, 11.90it/s]
ITERATION - loss: 0.58:  23%|██▎       | 3/13 [00:07<00:01,  6.50it/s]
ITERATION - loss: 0.63:  46%|████▌     | 6/13 [00:07<00:00,  8.38it/s]
ITERATION - loss: 0.66:  69%|██████▉   | 9/13 [00:07<00:00, 10.42it/s]
ITERATION - loss: 0.61: 100%|██████████| 13/13 [00:07<00:00, 13.14it/s]
ITERATION - loss: 0.61: 100%|██████████| 13/13 [00:07<00:00, 13.14it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 0.583, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.612, loss: 0.583

ITERATION - loss: 0.61:   0%|          | 0/13 [00:08<00:00, 13.14it/s]
                                                                      

ITERATION - loss: 0.61:   0%|          | 0/13 [00:08<00:00, 13.14it/s]
Validation Results - Epoch: 6 Metrics: mse: 0.592, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.614, loss: 0.592

ITERATION - loss: 0.54:  23%|██▎       | 3/13 [00:08<00:01,  7.02it/s]
ITERATION - loss: 0.69:  46%|████▌     | 6/13 [00:08<00:00,  8.93it/s]
ITERATION - loss: 0.61:  69%|██████▉   | 9/13 [00:08<00:00, 11.19it/s]
ITERATION - loss: 0.62:  92%|█████████▏| 12/13 [00:08<00:00, 13.15it/s]
ITERATION - loss: 0.53: 100%|██████████| 13/13 [00:08<00:00, 13.15it/s]
Training Results - Epoch: 7 Metrics: mse: 0.587, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.614, loss: 0.587

                                                                       

ITERATION - loss: 0.53:   0%|          | 0/13 [00:09<00:00, 13.15it/s]
                                                                      

Validation Results - Epoch: 7 Metrics: mse: 0.593, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.615, loss: 0.593

ITERATION - loss: 0.53:   0%|          | 0/13 [00:09<00:00, 13.15it/s]
ITERATION - loss: 0.58:  23%|██▎       | 3/13 [00:09<00:01,  7.12it/s]
ITERATION - loss: 0.69:  38%|███▊      | 5/13 [00:09<00:00,  8.63it/s]
ITERATION - loss: 0.58:  69%|██████▉   | 9/13 [00:09<00:00, 10.87it/s]
ITERATION - loss: 0.56:  92%|█████████▏| 12/13 [00:10<00:00, 12.61it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:10<00:00, 12.61it/s]
                                                                       

Training Results - Epoch: 8 Metrics: mse: 0.579, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.611, loss: 0.579

ITERATION - loss: 0.52:   0%|          | 0/13 [00:10<00:01, 12.61it/s]
                                                                      

Validation Results - Epoch: 8 Metrics: mse: 0.595, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.616, loss: 0.595

ITERATION - loss: 0.52:   0%|          | 0/13 [00:10<00:01, 12.61it/s]
ITERATION - loss: 0.61:  23%|██▎       | 3/13 [00:10<00:01,  6.91it/s]
ITERATION - loss: 0.54:  46%|████▌     | 6/13 [00:11<00:00,  8.79it/s]
ITERATION - loss: 0.54:  69%|██████▉   | 9/13 [00:11<00:00, 11.04it/s]
ITERATION - loss: 0.61:  92%|█████████▏| 12/13 [00:11<00:00, 13.58it/s]
ITERATION - loss: 0.58: 100%|██████████| 13/13 [00:11<00:00, 13.58it/s]
Training Results - Epoch: 9 Metrics: mse: 0.580, avep: 0.924, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.611, loss: 0.580

                                                                       

ITERATION - loss: 0.58:   0%|          | 0/13 [00:11<00:00, 13.58it/s]
                                                                      

Validation Results - Epoch: 9 Metrics: mse: 0.597, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.617, loss: 0.597

ITERATION - loss: 0.58:   0%|          | 0/13 [00:12<00:00, 13.58it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:12<00:01,  6.80it/s]
ITERATION - loss: 0.50:  38%|███▊      | 5/13 [00:12<00:00,  8.46it/s]
ITERATION - loss: 0.61:  69%|██████▉   | 9/13 [00:12<00:00, 10.80it/s]
ITERATION - loss: 0.61:  92%|█████████▏| 12/13 [00:12<00:00, 13.35it/s]
ITERATION - loss: 0.67: 100%|██████████| 13/13 [00:12<00:00, 13.35it/s]
                                                                       
Training Results - Epoch: 10 Metrics: mse: 0.589, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.615, loss: 0.589


ITERATION - loss: 0.67:   0%|          | 0/13 [00:13<00:00, 13.35it/s]
                                                                      

Validation Results - Epoch: 10 Metrics: mse: 0.609, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.624, loss: 0.609

ITERATION - loss: 0.67:   0%|          | 0/13 [00:13<00:00, 13.35it/s]
ITERATION - loss: 0.56:  23%|██▎       | 3/13 [00:13<00:01,  6.75it/s]
ITERATION - loss: 0.58:  46%|████▌     | 6/13 [00:13<00:00,  8.72it/s]
ITERATION - loss: 0.52:  69%|██████▉   | 9/13 [00:13<00:00, 10.76it/s]
ITERATION - loss: 0.55: 100%|██████████| 13/13 [00:13<00:00, 13.55it/s]
ITERATION - loss: 0.55: 100%|██████████| 13/13 [00:13<00:00, 13.55it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 0.574, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.608, loss: 0.574

ITERATION - loss: 0.55:   0%|          | 0/13 [00:14<00:00, 13.55it/s]
Validation Results - Epoch: 11 Metrics: mse: 0.590, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.614, loss: 0.590

                                                                      

ITERATION - loss: 0.55:   0%|          | 0/13 [00:14<00:00, 13.55it/s]
ITERATION - loss: 0.54:  23%|██▎       | 3/13 [00:14<00:01,  7.06it/s]
ITERATION - loss: 0.58:  46%|████▌     | 6/13 [00:14<00:00,  9.10it/s]
ITERATION - loss: 0.56:  69%|██████▉   | 9/13 [00:14<00:00, 11.26it/s]
ITERATION - loss: 0.53:  92%|█████████▏| 12/13 [00:15<00:00, 13.69it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:15<00:00, 13.69it/s]
                                                                       

Training Results - Epoch: 12 Metrics: mse: 0.575, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.608, loss: 0.575

ITERATION - loss: 0.50:   0%|          | 0/13 [00:15<00:00, 13.69it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 0.592, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.615, loss: 0.592

ITERATION - loss: 0.50:   0%|          | 0/13 [00:15<00:00, 13.69it/s]
ITERATION - loss: 0.65:  23%|██▎       | 3/13 [00:15<00:01,  7.23it/s]
ITERATION - loss: 0.62:  46%|████▌     | 6/13 [00:16<00:00,  9.10it/s]
ITERATION - loss: 0.55:  69%|██████▉   | 9/13 [00:16<00:00, 11.40it/s]
ITERATION - loss: 0.53:  92%|█████████▏| 12/13 [00:16<00:00, 13.64it/s]
ITERATION - loss: 0.54: 100%|██████████| 13/13 [00:16<00:00, 13.64it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 0.566, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.603, loss: 0.566

ITERATION - loss: 0.54:   0%|          | 0/13 [00:16<00:00, 13.64it/s]
Validation Results - Epoch: 13 Metrics: mse: 0.573, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.604, loss: 0.573

                                                                      

ITERATION - loss: 0.54:   0%|          | 0/13 [00:17<00:00, 13.64it/s]
ITERATION - loss: 0.54:  23%|██▎       | 3/13 [00:17<00:01,  7.09it/s]
ITERATION - loss: 0.55:  46%|████▌     | 6/13 [00:17<00:00,  8.97it/s]
ITERATION - loss: 0.55:  69%|██████▉   | 9/13 [00:17<00:00, 11.29it/s]
ITERATION - loss: 0.57:  92%|█████████▏| 12/13 [00:17<00:00, 13.87it/s]
ITERATION - loss: 0.58: 100%|██████████| 13/13 [00:17<00:00, 13.87it/s]
                                                                       

Training Results - Epoch: 14 Metrics: mse: 0.588, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.615, loss: 0.588

ITERATION - loss: 0.58:   0%|          | 0/13 [00:18<00:00, 13.87it/s]
Validation Results - Epoch: 14 Metrics: mse: 0.589, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.613, loss: 0.589
                                                                      


ITERATION - loss: 0.58:   0%|          | 0/13 [00:18<00:00, 13.87it/s]
ITERATION - loss: 0.66:  23%|██▎       | 3/13 [00:18<00:01,  7.03it/s]
ITERATION - loss: 0.58:  46%|████▌     | 6/13 [00:18<00:00,  9.07it/s]
ITERATION - loss: 0.54:  69%|██████▉   | 9/13 [00:18<00:00, 11.15it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:18<00:00, 13.98it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:18<00:00, 13.98it/s]
                                                                       

Training Results - Epoch: 15 Metrics: mse: 0.564, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.602, loss: 0.564

ITERATION - loss: 0.52:   0%|          | 0/13 [00:19<00:00, 13.98it/s]
                                                                      

Validation Results - Epoch: 15 Metrics: mse: 0.569, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.603, loss: 0.569

ITERATION - loss: 0.52:   0%|          | 0/13 [00:19<00:00, 13.98it/s]
ITERATION - loss: 0.55:  23%|██▎       | 3/13 [00:19<00:01,  7.12it/s]
ITERATION - loss: 0.61:  46%|████▌     | 6/13 [00:19<00:00,  9.08it/s]
ITERATION - loss: 0.55:  69%|██████▉   | 9/13 [00:19<00:00, 11.31it/s]
ITERATION - loss: 0.53:  92%|█████████▏| 12/13 [00:20<00:00, 13.14it/s]
ITERATION - loss: 0.58: 100%|██████████| 13/13 [00:20<00:00, 13.14it/s]
                                                                       

Training Results - Epoch: 16 Metrics: mse: 0.550, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.595, loss: 0.550

ITERATION - loss: 0.58:   0%|          | 0/13 [00:20<00:00, 13.14it/s]
                                                                      

Validation Results - Epoch: 16 Metrics: mse: 0.562, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.599, loss: 0.562

ITERATION - loss: 0.58:   0%|          | 0/13 [00:20<00:00, 13.14it/s]
ITERATION - loss: 0.57:  23%|██▎       | 3/13 [00:20<00:01,  7.10it/s]
ITERATION - loss: 0.54:  46%|████▌     | 6/13 [00:21<00:00,  9.01it/s]
ITERATION - loss: 0.47:  69%|██████▉   | 9/13 [00:21<00:00, 10.94it/s]
ITERATION - loss: 0.55:  92%|█████████▏| 12/13 [00:21<00:00, 13.03it/s]
ITERATION - loss: 0.54: 100%|██████████| 13/13 [00:21<00:00, 13.03it/s]
                                                                       

Training Results - Epoch: 17 Metrics: mse: 0.546, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.592, loss: 0.546

ITERATION - loss: 0.54:   0%|          | 0/13 [00:21<00:00, 13.03it/s]
                                                                      

Validation Results - Epoch: 17 Metrics: mse: 0.556, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.595, loss: 0.556

ITERATION - loss: 0.54:   0%|          | 0/13 [00:22<00:00, 13.03it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:22<00:01,  6.93it/s]
ITERATION - loss: 0.55:  46%|████▌     | 6/13 [00:22<00:00,  8.82it/s]
ITERATION - loss: 0.54:  69%|██████▉   | 9/13 [00:22<00:00, 11.10it/s]
ITERATION - loss: 0.60: 100%|██████████| 13/13 [00:22<00:00, 13.91it/s]
ITERATION - loss: 0.60: 100%|██████████| 13/13 [00:22<00:00, 13.91it/s]
                                                                       

Training Results - Epoch: 18 Metrics: mse: 0.569, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.605, loss: 0.569

ITERATION - loss: 0.60:   0%|          | 0/13 [00:23<00:00, 13.91it/s]
                                                                      

Validation Results - Epoch: 18 Metrics: mse: 0.570, avep: 0.924, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.603, loss: 0.570

ITERATION - loss: 0.60:   0%|          | 0/13 [00:23<00:00, 13.91it/s]
ITERATION - loss: 0.49:  23%|██▎       | 3/13 [00:23<00:01,  7.09it/s]
ITERATION - loss: 0.57:  46%|████▌     | 6/13 [00:23<00:00,  9.16it/s]
ITERATION - loss: 0.51:  69%|██████▉   | 9/13 [00:23<00:00, 11.17it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:23<00:00, 13.94it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:23<00:00, 13.94it/s]
                                                                       

Training Results - Epoch: 19 Metrics: mse: 0.545, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.591, loss: 0.545

ITERATION - loss: 0.49:   0%|          | 0/13 [00:24<00:00, 13.94it/s]
                                                                      

Validation Results - Epoch: 19 Metrics: mse: 0.550, avep: 0.924, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.592, loss: 0.550

ITERATION - loss: 0.49:   0%|          | 0/13 [00:24<00:00, 13.94it/s]
ITERATION - loss: 0.57:  23%|██▎       | 3/13 [00:24<00:01,  7.24it/s]
ITERATION - loss: 0.56:  54%|█████▍    | 7/13 [00:24<00:00,  9.37it/s]
ITERATION - loss: 0.64:  77%|███████▋  | 10/13 [00:25<00:00, 11.62it/s]
ITERATION - loss: 0.61: 100%|██████████| 13/13 [00:25<00:00, 14.19it/s]
ITERATION - loss: 0.61: 100%|██████████| 13/13 [00:25<00:00, 14.19it/s]
Training Results - Epoch: 20 Metrics: mse: 0.532, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.585, loss: 0.532

                                                                       

ITERATION - loss: 0.61:   0%|          | 0/13 [00:25<00:00, 14.19it/s]
Validation Results - Epoch: 20 Metrics: mse: 0.542, avep: 0.924, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.588, loss: 0.542

                                                                      

ITERATION - loss: 0.61:   0%|          | 0/13 [00:25<00:00, 14.19it/s]
ITERATION - loss: 0.62:  23%|██▎       | 3/13 [00:26<00:01,  7.17it/s]
ITERATION - loss: 0.56:  46%|████▌     | 6/13 [00:26<00:00,  9.29it/s]
ITERATION - loss: 0.50:  69%|██████▉   | 9/13 [00:26<00:00, 11.70it/s]
ITERATION - loss: 0.54:  92%|█████████▏| 12/13 [00:26<00:00, 14.01it/s]
ITERATION - loss: 0.59: 100%|██████████| 13/13 [00:26<00:00, 14.01it/s]
                                                                       

Training Results - Epoch: 21 Metrics: mse: 0.544, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.591, loss: 0.544

ITERATION - loss: 0.59:   0%|          | 0/13 [00:26<00:00, 14.01it/s]
                                                                      

Validation Results - Epoch: 21 Metrics: mse: 0.546, avep: 0.924, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.590, loss: 0.546

ITERATION - loss: 0.59:   0%|          | 0/13 [00:27<00:00, 14.01it/s]
ITERATION - loss: 0.54:  23%|██▎       | 3/13 [00:27<00:01,  7.13it/s]
ITERATION - loss: 0.59:  46%|████▌     | 6/13 [00:27<00:00,  9.02it/s]
ITERATION - loss: 0.51:  69%|██████▉   | 9/13 [00:27<00:00, 11.20it/s]
ITERATION - loss: 0.48:  92%|█████████▏| 12/13 [00:27<00:00, 13.32it/s]
ITERATION - loss: 0.59: 100%|██████████| 13/13 [00:27<00:00, 13.32it/s]
                                                                       

Training Results - Epoch: 22 Metrics: mse: 0.523, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.580, loss: 0.523

ITERATION - loss: 0.59:   0%|          | 0/13 [00:28<00:00, 13.32it/s]
                                                                      

Validation Results - Epoch: 22 Metrics: mse: 0.535, avep: 0.924, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.585, loss: 0.535

ITERATION - loss: 0.59:   0%|          | 0/13 [00:28<00:00, 13.32it/s]
ITERATION - loss: 0.53:  23%|██▎       | 3/13 [00:28<00:01,  6.97it/s]
ITERATION - loss: 0.59:  54%|█████▍    | 7/13 [00:28<00:00,  8.90it/s]
ITERATION - loss: 0.50:  77%|███████▋  | 10/13 [00:28<00:00, 11.23it/s]
ITERATION - loss: 0.57: 100%|██████████| 13/13 [00:28<00:00, 13.72it/s]
ITERATION - loss: 0.57: 100%|██████████| 13/13 [00:28<00:00, 13.72it/s]
                                                                       

ITERATION - loss: 0.57:   0%|          | 0/13 [00:29<00:00, 13.72it/s]
Training Results - Epoch: 23 Metrics: mse: 0.518, avep: 0.925, top5: 0.948, frac_mc: 0.854, top1: 0.988, mae: 0.576, loss: 0.518

                                                                      

Validation Results - Epoch: 23 Metrics: mse: 0.524, avep: 0.923, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 0.578, loss: 0.524

ITERATION - loss: 0.57:   0%|          | 0/13 [00:29<00:00, 13.72it/s]
ITERATION - loss: 0.45:  23%|██▎       | 3/13 [00:29<00:01,  6.90it/s]
ITERATION - loss: 0.56:  46%|████▌     | 6/13 [00:29<00:00,  8.88it/s]
ITERATION - loss: 0.50:  69%|██████▉   | 9/13 [00:30<00:00, 10.64it/s]
ITERATION - loss: 0.47:  92%|█████████▏| 12/13 [00:30<00:00, 12.94it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:30<00:00, 12.94it/s]
Training Results - Epoch: 24 Metrics: mse: 0.525, avep: 0.925, top5: 0.948, frac_mc: 0.854, top1: 0.988, mae: 0.581, loss: 0.525

                                                                       

ITERATION - loss: 0.50:   0%|          | 0/13 [00:30<00:01, 12.94it/s]
                                                                      

Validation Results - Epoch: 24 Metrics: mse: 0.542, avep: 0.924, top5: 0.950, frac_mc: 0.844, top1: 0.990, mae: 0.591, loss: 0.542

ITERATION - loss: 0.50:   0%|          | 0/13 [00:31<00:01, 12.94it/s]
ITERATION - loss: 0.53:  23%|██▎       | 3/13 [00:31<00:01,  6.66it/s]
ITERATION - loss: 0.48:  46%|████▌     | 6/13 [00:31<00:00,  8.66it/s]
ITERATION - loss: 0.47:  69%|██████▉   | 9/13 [00:31<00:00, 10.70it/s]
ITERATION - loss: 0.60:  92%|█████████▏| 12/13 [00:31<00:00, 13.21it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:31<00:00, 13.21it/s]
                                                                       

Training Results - Epoch: 25 Metrics: mse: 0.505, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.569, loss: 0.505

ITERATION - loss: 0.49:   0%|          | 0/13 [00:32<00:00, 13.21it/s]
                                                                      

Validation Results - Epoch: 25 Metrics: mse: 0.510, avep: 0.924, top5: 0.950, frac_mc: 0.844, top1: 0.990, mae: 0.570, loss: 0.510

ITERATION - loss: 0.49:   0%|          | 0/13 [00:32<00:00, 13.21it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:32<00:01,  6.99it/s]
ITERATION - loss: 0.49:  54%|█████▍    | 7/13 [00:32<00:00,  9.07it/s]
ITERATION - loss: 0.50:  77%|███████▋  | 10/13 [00:32<00:00, 11.46it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:32<00:00, 14.04it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:32<00:00, 14.04it/s]
                                                                       

Training Results - Epoch: 26 Metrics: mse: 0.546, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.592, loss: 0.546

ITERATION - loss: 0.45:   0%|          | 0/13 [00:33<00:00, 14.04it/s]
                                                                      

Validation Results - Epoch: 26 Metrics: mse: 0.543, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.587, loss: 0.543

ITERATION - loss: 0.45:   0%|          | 0/13 [00:33<00:00, 14.04it/s]
ITERATION - loss: 0.49:  23%|██▎       | 3/13 [00:33<00:01,  7.46it/s]
ITERATION - loss: 0.52:  46%|████▌     | 6/13 [00:33<00:00,  9.63it/s]
ITERATION - loss: 0.56:  69%|██████▉   | 9/13 [00:33<00:00, 11.31it/s]
ITERATION - loss: 0.57:  92%|█████████▏| 12/13 [00:33<00:00, 13.68it/s]
ITERATION - loss: 0.56: 100%|██████████| 13/13 [00:33<00:00, 13.68it/s]
                                                                       

Training Results - Epoch: 27 Metrics: mse: 0.495, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.563, loss: 0.495

ITERATION - loss: 0.56:   0%|          | 0/13 [00:34<00:00, 13.68it/s]
                                                                      
Validation Results - Epoch: 27 Metrics: mse: 0.499, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.564, loss: 0.499


ITERATION - loss: 0.56:   0%|          | 0/13 [00:34<00:00, 13.68it/s]
ITERATION - loss: 0.49:  23%|██▎       | 3/13 [00:34<00:01,  6.97it/s]
ITERATION - loss: 0.46:  46%|████▌     | 6/13 [00:34<00:00,  8.98it/s]
ITERATION - loss: 0.47:  69%|██████▉   | 9/13 [00:35<00:00, 10.94it/s]
ITERATION - loss: 0.50:  92%|█████████▏| 12/13 [00:35<00:00, 13.21it/s]
ITERATION - loss: 0.47: 100%|██████████| 13/13 [00:35<00:00, 13.21it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 0.524, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.579, loss: 0.524

ITERATION - loss: 0.47:   0%|          | 0/13 [00:35<00:00, 13.21it/s]
                                                                      

Validation Results - Epoch: 28 Metrics: mse: 0.522, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.575, loss: 0.522

ITERATION - loss: 0.47:   0%|          | 0/13 [00:35<00:00, 13.21it/s]
ITERATION - loss: 0.46:  23%|██▎       | 3/13 [00:36<00:01,  7.02it/s]
ITERATION - loss: 0.48:  46%|████▌     | 6/13 [00:36<00:00,  9.02it/s]
ITERATION - loss: 0.52:  69%|██████▉   | 9/13 [00:36<00:00, 11.40it/s]
ITERATION - loss: 0.50:  92%|█████████▏| 12/13 [00:36<00:00, 13.69it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:36<00:00, 13.69it/s]
                                                                       

Training Results - Epoch: 29 Metrics: mse: 0.479, avep: 0.925, top5: 0.947, frac_mc: 0.854, top1: 0.988, mae: 0.554, loss: 0.479

ITERATION - loss: 0.50:   0%|          | 0/13 [00:37<00:00, 13.69it/s]
Validation Results - Epoch: 29 Metrics: mse: 0.483, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.555, loss: 0.483

                                                                      

ITERATION - loss: 0.50:   0%|          | 0/13 [00:37<00:00, 13.69it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:37<00:01,  7.10it/s]
ITERATION - loss: 0.53:  46%|████▌     | 6/13 [00:37<00:00,  9.13it/s]
ITERATION - loss: 0.49:  69%|██████▉   | 9/13 [00:37<00:00, 11.43it/s]
ITERATION - loss: 0.43:  92%|█████████▏| 12/13 [00:37<00:00, 13.45it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:37<00:00, 13.45it/s]
Training Results - Epoch: 30 Metrics: mse: 0.466, avep: 0.925, top5: 0.948, frac_mc: 0.854, top1: 0.988, mae: 0.547, loss: 0.466

                                                                       

ITERATION - loss: 0.49:   0%|          | 0/13 [00:38<00:00, 13.45it/s]
                                                                      

Validation Results - Epoch: 30 Metrics: mse: 0.473, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.550, loss: 0.473

ITERATION - loss: 0.49:   0%|          | 0/13 [00:38<00:00, 13.45it/s]
ITERATION - loss: 0.52:  23%|██▎       | 3/13 [00:38<00:01,  7.06it/s]
ITERATION - loss: 0.50:  46%|████▌     | 6/13 [00:38<00:00,  8.91it/s]
ITERATION - loss: 0.46:  69%|██████▉   | 9/13 [00:38<00:00, 11.26it/s]
ITERATION - loss: 0.45:  92%|█████████▏| 12/13 [00:38<00:00, 13.74it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:38<00:00, 13.74it/s]
                                                                       

Training Results - Epoch: 31 Metrics: mse: 0.463, avep: 0.925, top5: 0.948, frac_mc: 0.853, top1: 0.988, mae: 0.544, loss: 0.463

ITERATION - loss: 0.52:   0%|          | 0/13 [00:39<00:00, 13.74it/s]
                                                                      

Validation Results - Epoch: 31 Metrics: mse: 0.467, avep: 0.923, top5: 0.946, frac_mc: 0.843, top1: 0.990, mae: 0.545, loss: 0.467

ITERATION - loss: 0.52:   0%|          | 0/13 [00:39<00:00, 13.74it/s]
ITERATION - loss: 0.49:  23%|██▎       | 3/13 [00:39<00:01,  6.90it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [00:39<00:00,  8.88it/s]
ITERATION - loss: 0.50:  69%|██████▉   | 9/13 [00:40<00:00, 10.68it/s]
ITERATION - loss: 0.40:  92%|█████████▏| 12/13 [00:40<00:00, 12.97it/s]
ITERATION - loss: 0.46: 100%|██████████| 13/13 [00:40<00:00, 12.97it/s]
                                                                       

Training Results - Epoch: 32 Metrics: mse: 0.450, avep: 0.925, top5: 0.948, frac_mc: 0.853, top1: 0.988, mae: 0.539, loss: 0.450

ITERATION - loss: 0.46:   0%|          | 0/13 [00:40<00:01, 12.97it/s]
                                                                      

Validation Results - Epoch: 32 Metrics: mse: 0.461, avep: 0.924, top5: 0.948, frac_mc: 0.843, top1: 0.990, mae: 0.546, loss: 0.461

ITERATION - loss: 0.46:   0%|          | 0/13 [00:41<00:01, 12.97it/s]
ITERATION - loss: 0.45:  23%|██▎       | 3/13 [00:41<00:01,  6.81it/s]
ITERATION - loss: 0.43:  46%|████▌     | 6/13 [00:41<00:00,  8.83it/s]
ITERATION - loss: 0.48:  69%|██████▉   | 9/13 [00:41<00:00, 10.87it/s]
ITERATION - loss: 0.43:  92%|█████████▏| 12/13 [00:41<00:00, 13.27it/s]
ITERATION - loss: 0.47: 100%|██████████| 13/13 [00:41<00:00, 13.27it/s]
Training Results - Epoch: 33 Metrics: mse: 0.451, avep: 0.925, top5: 0.947, frac_mc: 0.853, top1: 0.988, mae: 0.539, loss: 0.451

                                                                       

ITERATION - loss: 0.47:   0%|          | 0/13 [00:42<00:00, 13.27it/s]
Validation Results - Epoch: 33 Metrics: mse: 0.463, avep: 0.923, top5: 0.948, frac_mc: 0.842, top1: 0.990, mae: 0.549, loss: 0.463

                                                                      

ITERATION - loss: 0.47:   0%|          | 0/13 [00:42<00:00, 13.27it/s]
ITERATION - loss: 0.38:  23%|██▎       | 3/13 [00:42<00:01,  6.74it/s]
ITERATION - loss: 0.44:  46%|████▌     | 6/13 [00:42<00:00,  8.66it/s]
ITERATION - loss: 0.46:  62%|██████▏   | 8/13 [00:42<00:00, 10.28it/s]
ITERATION - loss: 0.46:  85%|████████▍ | 11/13 [00:42<00:00, 12.27it/s]
ITERATION - loss: 0.43: 100%|██████████| 13/13 [00:42<00:00, 12.27it/s]
                                                                       

Training Results - Epoch: 34 Metrics: mse: 0.427, avep: 0.925, top5: 0.947, frac_mc: 0.853, top1: 0.990, mae: 0.526, loss: 0.427

ITERATION - loss: 0.43:   0%|          | 0/13 [00:43<00:01, 12.27it/s]
Validation Results - Epoch: 34 Metrics: mse: 0.438, avep: 0.923, top5: 0.948, frac_mc: 0.841, top1: 0.990, mae: 0.535, loss: 0.438

                                                                      

ITERATION - loss: 0.43:   0%|          | 0/13 [00:43<00:01, 12.27it/s]
ITERATION - loss: 0.39:  23%|██▎       | 3/13 [00:43<00:01,  6.55it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [00:43<00:00,  8.54it/s]
ITERATION - loss: 0.45:  69%|██████▉   | 9/13 [00:43<00:00, 10.85it/s]
ITERATION - loss: 0.43:  92%|█████████▏| 12/13 [00:44<00:00, 12.97it/s]
ITERATION - loss: 0.42: 100%|██████████| 13/13 [00:44<00:00, 12.97it/s]
                                                                       

Training Results - Epoch: 35 Metrics: mse: 0.417, avep: 0.926, top5: 0.947, frac_mc: 0.853, top1: 0.988, mae: 0.520, loss: 0.417

ITERATION - loss: 0.42:   0%|          | 0/13 [00:44<00:01, 12.97it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 0.427, avep: 0.923, top5: 0.948, frac_mc: 0.841, top1: 0.990, mae: 0.530, loss: 0.427

ITERATION - loss: 0.42:   0%|          | 0/13 [00:44<00:01, 12.97it/s]
ITERATION - loss: 0.41:  23%|██▎       | 3/13 [00:44<00:01,  7.03it/s]
ITERATION - loss: 0.47:  46%|████▌     | 6/13 [00:45<00:00,  8.89it/s]
ITERATION - loss: 0.45:  69%|██████▉   | 9/13 [00:45<00:00, 11.03it/s]
ITERATION - loss: 0.38:  92%|█████████▏| 12/13 [00:45<00:00, 13.18it/s]
ITERATION - loss: 0.41: 100%|██████████| 13/13 [00:45<00:00, 13.18it/s]
                                                                       

Training Results - Epoch: 36 Metrics: mse: 0.371, avep: 0.925, top5: 0.946, frac_mc: 0.853, top1: 0.988, mae: 0.486, loss: 0.371

ITERATION - loss: 0.41:   0%|          | 0/13 [00:45<00:00, 13.18it/s]
                                                                      

Validation Results - Epoch: 36 Metrics: mse: 0.373, avep: 0.921, top5: 0.944, frac_mc: 0.839, top1: 0.990, mae: 0.490, loss: 0.373

ITERATION - loss: 0.41:   0%|          | 0/13 [00:46<00:00, 13.18it/s]
ITERATION - loss: 0.37:  23%|██▎       | 3/13 [00:46<00:01,  7.09it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [00:46<00:00,  9.19it/s]
ITERATION - loss: 0.51:  69%|██████▉   | 9/13 [00:46<00:00, 11.29it/s]
ITERATION - loss: 0.48:  92%|█████████▏| 12/13 [00:46<00:00, 13.68it/s]
ITERATION - loss: 0.41: 100%|██████████| 13/13 [00:46<00:00, 13.68it/s]
                                                                       

Training Results - Epoch: 37 Metrics: mse: 0.469, avep: 0.925, top5: 0.947, frac_mc: 0.853, top1: 0.988, mae: 0.555, loss: 0.469

ITERATION - loss: 0.41:   0%|          | 0/13 [00:47<00:00, 13.68it/s]
                                                                      
Validation Results - Epoch: 37 Metrics: mse: 0.482, avep: 0.921, top5: 0.944, frac_mc: 0.839, top1: 0.990, mae: 0.567, loss: 0.482


ITERATION - loss: 0.41:   0%|          | 0/13 [00:47<00:00, 13.68it/s]
ITERATION - loss: 0.47:  23%|██▎       | 3/13 [00:47<00:01,  6.97it/s]
ITERATION - loss: 0.41:  46%|████▌     | 6/13 [00:47<00:00,  9.00it/s]
ITERATION - loss: 0.54:  69%|██████▉   | 9/13 [00:47<00:00, 11.02it/s]
ITERATION - loss: 0.40: 100%|██████████| 13/13 [00:47<00:00, 13.83it/s]
ITERATION - loss: 0.40: 100%|██████████| 13/13 [00:47<00:00, 13.83it/s]
                                                                       

Training Results - Epoch: 38 Metrics: mse: 0.385, avep: 0.925, top5: 0.946, frac_mc: 0.852, top1: 0.988, mae: 0.500, loss: 0.385

ITERATION - loss: 0.40:   0%|          | 0/13 [00:48<00:00, 13.83it/s]
                                                                      

Validation Results - Epoch: 38 Metrics: mse: 0.393, avep: 0.921, top5: 0.944, frac_mc: 0.839, top1: 0.990, mae: 0.509, loss: 0.393

ITERATION - loss: 0.40:   0%|          | 0/13 [00:48<00:00, 13.83it/s]
ITERATION - loss: 0.38:  23%|██▎       | 3/13 [00:48<00:01,  7.51it/s]
ITERATION - loss: 0.46:  38%|███▊      | 5/13 [00:48<00:00,  9.20it/s]
ITERATION - loss: 0.37:  62%|██████▏   | 8/13 [00:48<00:00, 11.61it/s]
ITERATION - loss: 0.38:  85%|████████▍ | 11/13 [00:48<00:00, 14.12it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [00:49<00:00, 14.12it/s]
                                                                       

Training Results - Epoch: 39 Metrics: mse: 0.366, avep: 0.925, top5: 0.946, frac_mc: 0.852, top1: 0.988, mae: 0.487, loss: 0.366

ITERATION - loss: 0.37:   0%|          | 0/13 [00:49<00:00, 14.12it/s]
Validation Results - Epoch: 39 Metrics: mse: 0.371, avep: 0.921, top5: 0.946, frac_mc: 0.839, top1: 0.990, mae: 0.494, loss: 0.371

                                                                      

ITERATION - loss: 0.37:   0%|          | 0/13 [00:49<00:00, 14.12it/s]
ITERATION - loss: 0.35:  23%|██▎       | 3/13 [00:49<00:01,  6.82it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [00:50<00:00,  8.62it/s]
ITERATION - loss: 0.41:  69%|██████▉   | 9/13 [00:50<00:00, 10.84it/s]
ITERATION - loss: 0.38:  92%|█████████▏| 12/13 [00:50<00:00, 12.88it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [00:50<00:00, 12.88it/s]
                                                                       

Training Results - Epoch: 40 Metrics: mse: 0.348, avep: 0.925, top5: 0.947, frac_mc: 0.851, top1: 0.988, mae: 0.475, loss: 0.348

ITERATION - loss: 0.35:   0%|          | 0/13 [00:50<00:01, 12.88it/s]
Validation Results - Epoch: 40 Metrics: mse: 0.351, avep: 0.921, top5: 0.948, frac_mc: 0.839, top1: 0.990, mae: 0.481, loss: 0.351

                                                                      

ITERATION - loss: 0.35:   0%|          | 0/13 [00:51<00:01, 12.88it/s]
ITERATION - loss: 0.34:  23%|██▎       | 3/13 [00:51<00:01,  6.98it/s]
ITERATION - loss: 0.34:  46%|████▌     | 6/13 [00:51<00:00,  8.85it/s]
ITERATION - loss: 0.32:  69%|██████▉   | 9/13 [00:51<00:00, 11.19it/s]
ITERATION - loss: 0.32:  92%|█████████▏| 12/13 [00:51<00:00, 13.72it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [00:51<00:00, 13.72it/s]
                                                                       

Training Results - Epoch: 41 Metrics: mse: 0.307, avep: 0.924, top5: 0.949, frac_mc: 0.851, top1: 0.985, mae: 0.439, loss: 0.307

ITERATION - loss: 0.30:   0%|          | 0/13 [00:52<00:00, 13.72it/s]
                                                                      

Validation Results - Epoch: 41 Metrics: mse: 0.304, avep: 0.922, top5: 0.950, frac_mc: 0.840, top1: 0.990, mae: 0.438, loss: 0.304

ITERATION - loss: 0.30:   0%|          | 0/13 [00:52<00:00, 13.72it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [00:52<00:01,  7.08it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [00:52<00:00,  9.14it/s]
ITERATION - loss: 0.32:  69%|██████▉   | 9/13 [00:52<00:00, 11.15it/s]
ITERATION - loss: 0.30:  92%|█████████▏| 12/13 [00:52<00:00, 13.69it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [00:52<00:00, 13.69it/s]
                                                                       

Training Results - Epoch: 42 Metrics: mse: 0.309, avep: 0.925, top5: 0.949, frac_mc: 0.851, top1: 0.985, mae: 0.446, loss: 0.309

ITERATION - loss: 0.33:   0%|          | 0/13 [00:53<00:00, 13.69it/s]
                                                                      

Validation Results - Epoch: 42 Metrics: mse: 0.308, avep: 0.922, top5: 0.950, frac_mc: 0.842, top1: 0.990, mae: 0.448, loss: 0.308

ITERATION - loss: 0.33:   0%|          | 0/13 [00:53<00:00, 13.69it/s]
ITERATION - loss: 0.36:  23%|██▎       | 3/13 [00:53<00:01,  6.83it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [00:53<00:00,  8.85it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [00:53<00:00, 11.22it/s]
ITERATION - loss: 0.38:  92%|█████████▏| 12/13 [00:54<00:00, 13.27it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [00:54<00:00, 13.27it/s]
                                                                       

Training Results - Epoch: 43 Metrics: mse: 0.309, avep: 0.924, top5: 0.948, frac_mc: 0.850, top1: 0.985, mae: 0.446, loss: 0.309

ITERATION - loss: 0.37:   0%|          | 0/13 [00:54<00:00, 13.27it/s]
                                                                      

Validation Results - Epoch: 43 Metrics: mse: 0.307, avep: 0.922, top5: 0.950, frac_mc: 0.842, top1: 0.990, mae: 0.448, loss: 0.307

ITERATION - loss: 0.37:   0%|          | 0/13 [00:54<00:00, 13.27it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [00:54<00:01,  7.14it/s]
ITERATION - loss: 0.27:  46%|████▌     | 6/13 [00:55<00:00,  9.03it/s]
ITERATION - loss: 0.31:  69%|██████▉   | 9/13 [00:55<00:00, 11.32it/s]
ITERATION - loss: 0.29: 100%|██████████| 13/13 [00:55<00:00, 14.13it/s]
ITERATION - loss: 0.29: 100%|██████████| 13/13 [00:55<00:00, 14.13it/s]
                                                                       

Training Results - Epoch: 44 Metrics: mse: 0.301, avep: 0.924, top5: 0.949, frac_mc: 0.850, top1: 0.985, mae: 0.440, loss: 0.301

ITERATION - loss: 0.29:   0%|          | 0/13 [00:55<00:00, 14.13it/s]
                                                                      

Validation Results - Epoch: 44 Metrics: mse: 0.299, avep: 0.921, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.442, loss: 0.299

ITERATION - loss: 0.29:   0%|          | 0/13 [00:56<00:00, 14.13it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [00:56<00:01,  7.17it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [00:56<00:00,  9.21it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [00:56<00:00, 11.26it/s]
ITERATION - loss: 0.29:  92%|█████████▏| 12/13 [00:56<00:00, 13.81it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [00:56<00:00, 13.81it/s]
                                                                       

Training Results - Epoch: 45 Metrics: mse: 0.275, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.416, loss: 0.275

ITERATION - loss: 0.30:   0%|          | 0/13 [00:57<00:00, 13.81it/s]
                                                                      

Validation Results - Epoch: 45 Metrics: mse: 0.269, avep: 0.919, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.415, loss: 0.269

ITERATION - loss: 0.30:   0%|          | 0/13 [00:57<00:00, 13.81it/s]
ITERATION - loss: 0.34:  23%|██▎       | 3/13 [00:57<00:01,  7.11it/s]
ITERATION - loss: 0.35:  54%|█████▍    | 7/13 [00:57<00:00,  9.21it/s]
ITERATION - loss: 0.35:  77%|███████▋  | 10/13 [00:57<00:00, 11.10it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [00:57<00:00, 11.10it/s]
                                                                       

Training Results - Epoch: 46 Metrics: mse: 0.348, avep: 0.923, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.471, loss: 0.348

ITERATION - loss: 0.31:   0%|          | 0/13 [00:58<00:01, 11.10it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 0.341, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.465, loss: 0.341

ITERATION - loss: 0.31:   0%|          | 0/13 [00:58<00:01, 11.10it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [00:58<00:01,  6.36it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [00:58<00:00,  8.18it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [00:58<00:00, 10.42it/s]
ITERATION - loss: 0.27:  92%|█████████▏| 12/13 [00:59<00:00, 12.88it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [00:59<00:00, 12.88it/s]
                                                                       

Training Results - Epoch: 47 Metrics: mse: 0.274, avep: 0.924, top5: 0.947, frac_mc: 0.849, top1: 0.985, mae: 0.417, loss: 0.274

ITERATION - loss: 0.30:   0%|          | 0/13 [00:59<00:01, 12.88it/s]
Validation Results - Epoch: 47 Metrics: mse: 0.270, avep: 0.920, top5: 0.952, frac_mc: 0.843, top1: 0.970, mae: 0.418, loss: 0.270

                                                                      

ITERATION - loss: 0.30:   0%|          | 0/13 [00:59<00:01, 12.88it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [00:59<00:01,  6.77it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [01:00<00:00,  8.67it/s]
ITERATION - loss: 0.35:  62%|██████▏   | 8/13 [01:00<00:00, 10.38it/s]
ITERATION - loss: 0.42:  92%|█████████▏| 12/13 [01:00<00:00, 12.89it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:00<00:00, 12.89it/s]
                                                                       

Training Results - Epoch: 48 Metrics: mse: 0.274, avep: 0.923, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.418, loss: 0.274

ITERATION - loss: 0.37:   0%|          | 0/13 [01:00<00:01, 12.89it/s]
Validation Results - Epoch: 48 Metrics: mse: 0.269, avep: 0.920, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.417, loss: 0.269

                                                                      

ITERATION - loss: 0.37:   0%|          | 0/13 [01:01<00:01, 12.89it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [01:01<00:01,  6.80it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [01:01<00:00,  8.68it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [01:01<00:00, 10.93it/s]
ITERATION - loss: 0.26:  92%|█████████▏| 12/13 [01:01<00:00, 13.46it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:01<00:00, 13.46it/s]
                                                                       

Training Results - Epoch: 49 Metrics: mse: 0.284, avep: 0.923, top5: 0.948, frac_mc: 0.848, top1: 0.985, mae: 0.422, loss: 0.284

ITERATION - loss: 0.27:   0%|          | 0/13 [01:02<00:00, 13.46it/s]
                                                                      

Validation Results - Epoch: 49 Metrics: mse: 0.278, avep: 0.919, top5: 0.952, frac_mc: 0.843, top1: 0.970, mae: 0.418, loss: 0.278

ITERATION - loss: 0.27:   0%|          | 0/13 [01:02<00:00, 13.46it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:02<00:01,  7.01it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [01:02<00:00,  9.06it/s]
ITERATION - loss: 0.26:  69%|██████▉   | 9/13 [01:02<00:00, 11.19it/s]
ITERATION - loss: 0.26:  92%|█████████▏| 12/13 [01:02<00:00, 13.71it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:02<00:00, 13.71it/s]
                                                                       

Training Results - Epoch: 50 Metrics: mse: 0.262, avep: 0.923, top5: 0.948, frac_mc: 0.848, top1: 0.985, mae: 0.406, loss: 0.262

ITERATION - loss: 0.27:   0%|          | 0/13 [01:03<00:00, 13.71it/s]
                                                                      

Validation Results - Epoch: 50 Metrics: mse: 0.257, avep: 0.919, top5: 0.952, frac_mc: 0.843, top1: 0.970, mae: 0.405, loss: 0.257

ITERATION - loss: 0.27:   0%|          | 0/13 [01:03<00:00, 13.71it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:03<00:01,  6.91it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [01:03<00:00,  8.83it/s]
ITERATION - loss: 0.26:  69%|██████▉   | 9/13 [01:03<00:00, 10.98it/s]
ITERATION - loss: 0.32:  92%|█████████▏| 12/13 [01:04<00:00, 13.01it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [01:04<00:00, 13.01it/s]
                                                                       

Training Results - Epoch: 51 Metrics: mse: 0.286, avep: 0.923, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.428, loss: 0.286

ITERATION - loss: 0.30:   0%|          | 0/13 [01:04<00:00, 13.01it/s]
                                                                      

ITERATION - loss: 0.30:   0%|          | 0/13 [01:04<00:00, 13.01it/s]
Validation Results - Epoch: 51 Metrics: mse: 0.282, avep: 0.920, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.429, loss: 0.282

ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:04<00:01,  7.09it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [01:05<00:00,  8.99it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [01:05<00:00, 11.28it/s]
ITERATION - loss: 0.31:  92%|█████████▏| 12/13 [01:05<00:00, 13.55it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:05<00:00, 13.55it/s]
                                                                       

Training Results - Epoch: 52 Metrics: mse: 0.292, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.433, loss: 0.292

ITERATION - loss: 0.27:   0%|          | 0/13 [01:05<00:00, 13.55it/s]
Validation Results - Epoch: 52 Metrics: mse: 0.288, avep: 0.920, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.434, loss: 0.288

                                                                      

ITERATION - loss: 0.27:   0%|          | 0/13 [01:06<00:00, 13.55it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [01:06<00:01,  7.14it/s]
ITERATION - loss: 0.34:  54%|█████▍    | 7/13 [01:06<00:00,  9.10it/s]
ITERATION - loss: 0.28:  77%|███████▋  | 10/13 [01:06<00:00, 11.34it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [01:06<00:00, 11.34it/s]
                                                                       

Training Results - Epoch: 53 Metrics: mse: 0.265, avep: 0.924, top5: 0.949, frac_mc: 0.850, top1: 0.985, mae: 0.409, loss: 0.265

ITERATION - loss: 0.30:   0%|          | 0/13 [01:07<00:01, 11.34it/s]
                                                                      

Validation Results - Epoch: 53 Metrics: mse: 0.263, avep: 0.922, top5: 0.950, frac_mc: 0.842, top1: 0.990, mae: 0.409, loss: 0.263

ITERATION - loss: 0.30:   0%|          | 0/13 [01:07<00:01, 11.34it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [01:07<00:01,  6.22it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:07<00:00,  8.14it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [01:07<00:00, 10.13it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:07<00:00, 10.13it/s]
                                                                       

Training Results - Epoch: 54 Metrics: mse: 0.261, avep: 0.924, top5: 0.949, frac_mc: 0.850, top1: 0.985, mae: 0.406, loss: 0.261

ITERATION - loss: 0.28:   0%|          | 0/13 [01:08<00:01, 10.13it/s]
Validation Results - Epoch: 54 Metrics: mse: 0.258, avep: 0.921, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.408, loss: 0.258

                                                                      

ITERATION - loss: 0.28:   0%|          | 0/13 [01:08<00:01, 10.13it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:08<00:01,  6.01it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [01:08<00:00,  7.89it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [01:08<00:00, 10.07it/s]
ITERATION - loss: 0.27:  92%|█████████▏| 12/13 [01:09<00:00, 12.42it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:09<00:00, 12.42it/s]
                                                                       

Training Results - Epoch: 55 Metrics: mse: 0.255, avep: 0.924, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.400, loss: 0.255

ITERATION - loss: 0.21:   0%|          | 0/13 [01:09<00:01, 12.42it/s]
                                                                      

Validation Results - Epoch: 55 Metrics: mse: 0.251, avep: 0.919, top5: 0.950, frac_mc: 0.840, top1: 0.980, mae: 0.400, loss: 0.251

ITERATION - loss: 0.21:   0%|          | 0/13 [01:09<00:01, 12.42it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [01:09<00:01,  6.75it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [01:10<00:00,  8.54it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [01:10<00:00, 10.45it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:10<00:00, 12.76it/s]
ITERATION - loss: 0.25: 100%|██████████| 13/13 [01:10<00:00, 12.76it/s]
                                                                       

Training Results - Epoch: 56 Metrics: mse: 0.249, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.395, loss: 0.249

ITERATION - loss: 0.25:   0%|          | 0/13 [01:10<00:01, 12.76it/s]
                                                                      

Validation Results - Epoch: 56 Metrics: mse: 0.244, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.395, loss: 0.244

ITERATION - loss: 0.25:   0%|          | 0/13 [01:11<00:01, 12.76it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [01:11<00:01,  7.03it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:11<00:00,  9.09it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:11<00:00, 11.26it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:11<00:00, 13.77it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:11<00:00, 13.77it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 0.262, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.407, loss: 0.262

ITERATION - loss: 0.22:   0%|          | 0/13 [01:12<00:00, 13.77it/s]
                                                                      

Validation Results - Epoch: 57 Metrics: mse: 0.258, avep: 0.918, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.407, loss: 0.258

ITERATION - loss: 0.22:   0%|          | 0/13 [01:12<00:00, 13.77it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [01:12<00:01,  7.35it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [01:12<00:00,  9.30it/s]
ITERATION - loss: 0.30:  69%|██████▉   | 9/13 [01:12<00:00, 11.71it/s]
ITERATION - loss: 0.25:  92%|█████████▏| 12/13 [01:12<00:00, 13.83it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [01:12<00:00, 13.83it/s]
                                                                       

Training Results - Epoch: 58 Metrics: mse: 0.277, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.421, loss: 0.277

ITERATION - loss: 0.30:   0%|          | 0/13 [01:13<00:00, 13.83it/s]
                                                                      

Validation Results - Epoch: 58 Metrics: mse: 0.274, avep: 0.918, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.421, loss: 0.274

ITERATION - loss: 0.30:   0%|          | 0/13 [01:13<00:00, 13.83it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:13<00:01,  7.12it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:13<00:00,  8.98it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:13<00:00, 11.30it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:13<00:00, 13.75it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:13<00:00, 13.75it/s]
                                                                       

Training Results - Epoch: 59 Metrics: mse: 0.241, avep: 0.922, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.389, loss: 0.241

ITERATION - loss: 0.27:   0%|          | 0/13 [01:14<00:00, 13.75it/s]
                                                                      

Validation Results - Epoch: 59 Metrics: mse: 0.236, avep: 0.918, top5: 0.952, frac_mc: 0.844, top1: 0.970, mae: 0.389, loss: 0.236

ITERATION - loss: 0.27:   0%|          | 0/13 [01:14<00:00, 13.75it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:14<00:01,  6.81it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [01:15<00:00,  8.66it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [01:15<00:00, 11.03it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:15<00:00, 11.03it/s]
                                                                       

Training Results - Epoch: 60 Metrics: mse: 0.270, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.414, loss: 0.270

ITERATION - loss: 0.22:   0%|          | 0/13 [01:15<00:01, 11.03it/s]
                                                                      

Validation Results - Epoch: 60 Metrics: mse: 0.266, avep: 0.918, top5: 0.952, frac_mc: 0.842, top1: 0.970, mae: 0.414, loss: 0.266

ITERATION - loss: 0.22:   0%|          | 0/13 [01:16<00:01, 11.03it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [01:16<00:01,  6.19it/s]
ITERATION - loss: 0.23:  46%|████▌     | 6/13 [01:16<00:00,  8.07it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:16<00:00, 10.02it/s]
ITERATION - loss: 0.26:  92%|█████████▏| 12/13 [01:16<00:00, 12.52it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:16<00:00, 12.52it/s]
                                                                       

Training Results - Epoch: 61 Metrics: mse: 0.250, avep: 0.922, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.398, loss: 0.250

ITERATION - loss: 0.23:   0%|          | 0/13 [01:17<00:01, 12.52it/s]
                                                                      

Validation Results - Epoch: 61 Metrics: mse: 0.245, avep: 0.918, top5: 0.954, frac_mc: 0.841, top1: 0.970, mae: 0.396, loss: 0.245

ITERATION - loss: 0.23:   0%|          | 0/13 [01:17<00:01, 12.52it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:17<00:01,  6.80it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:17<00:00,  8.84it/s]
ITERATION - loss: 0.26:  69%|██████▉   | 9/13 [01:17<00:00, 11.19it/s]
ITERATION - loss: 0.26:  92%|█████████▏| 12/13 [01:17<00:00, 13.42it/s]
ITERATION - loss: 0.29: 100%|██████████| 13/13 [01:17<00:00, 13.42it/s]
                                                                       

Training Results - Epoch: 62 Metrics: mse: 0.350, avep: 0.922, top5: 0.950, frac_mc: 0.847, top1: 0.985, mae: 0.489, loss: 0.350

ITERATION - loss: 0.29:   0%|          | 0/13 [01:18<00:00, 13.42it/s]
                                                                      

Validation Results - Epoch: 62 Metrics: mse: 0.345, avep: 0.918, top5: 0.952, frac_mc: 0.840, top1: 0.970, mae: 0.483, loss: 0.345

ITERATION - loss: 0.29:   0%|          | 0/13 [01:18<00:00, 13.42it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:18<00:01,  6.77it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [01:18<00:00,  8.69it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:18<00:00, 10.90it/s]
ITERATION - loss: 0.26:  92%|█████████▏| 12/13 [01:19<00:00, 13.35it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:19<00:00, 13.35it/s]
                                                                       

Training Results - Epoch: 63 Metrics: mse: 0.235, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.385, loss: 0.235

ITERATION - loss: 0.22:   0%|          | 0/13 [01:19<00:00, 13.35it/s]
                                                                      

Validation Results - Epoch: 63 Metrics: mse: 0.232, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.385, loss: 0.232

ITERATION - loss: 0.22:   0%|          | 0/13 [01:19<00:00, 13.35it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:19<00:01,  6.81it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:20<00:00,  8.63it/s]
ITERATION - loss: 0.21:  62%|██████▏   | 8/13 [01:20<00:00, 10.36it/s]
ITERATION - loss: 0.26:  85%|████████▍ | 11/13 [01:20<00:00, 12.77it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [01:20<00:00, 12.77it/s]
                                                                       

Training Results - Epoch: 64 Metrics: mse: 0.233, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.383, loss: 0.233

ITERATION - loss: 0.26:   0%|          | 0/13 [01:21<00:01, 12.77it/s]
                                                                      

Validation Results - Epoch: 64 Metrics: mse: 0.230, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.383, loss: 0.230

ITERATION - loss: 0.26:   0%|          | 0/13 [01:21<00:01, 12.77it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [01:21<00:01,  6.60it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:21<00:00,  8.47it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:21<00:00, 10.58it/s]
ITERATION - loss: 0.28:  92%|█████████▏| 12/13 [01:21<00:00, 12.90it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:21<00:00, 12.90it/s]
                                                                       

ITERATION - loss: 0.31:   0%|          | 0/13 [01:22<00:01, 12.90it/s]
Training Results - Epoch: 65 Metrics: mse: 0.277, avep: 0.923, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.420, loss: 0.277

                                                                      

ITERATION - loss: 0.31:   0%|          | 0/13 [01:22<00:01, 12.90it/s]
Validation Results - Epoch: 65 Metrics: mse: 0.275, avep: 0.919, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.422, loss: 0.275

ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:22<00:01,  6.82it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:22<00:00,  8.87it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [01:22<00:00, 10.93it/s]
ITERATION - loss: 0.36:  92%|█████████▏| 12/13 [01:22<00:00, 13.48it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:22<00:00, 13.48it/s]
                                                                       

Training Results - Epoch: 66 Metrics: mse: 0.337, avep: 0.924, top5: 0.949, frac_mc: 0.851, top1: 0.985, mae: 0.469, loss: 0.337

ITERATION - loss: 0.22:   0%|          | 0/13 [01:23<00:00, 13.48it/s]
                                                                      

Validation Results - Epoch: 66 Metrics: mse: 0.341, avep: 0.921, top5: 0.950, frac_mc: 0.841, top1: 0.990, mae: 0.476, loss: 0.341

ITERATION - loss: 0.22:   0%|          | 0/13 [01:23<00:00, 13.48it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:23<00:01,  6.93it/s]
ITERATION - loss: 0.23:  46%|████▌     | 6/13 [01:23<00:00,  9.00it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:24<00:00, 11.32it/s]
ITERATION - loss: 0.24:  92%|█████████▏| 12/13 [01:24<00:00, 13.33it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:24<00:00, 13.33it/s]
Training Results - Epoch: 67 Metrics: mse: 0.245, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.394, loss: 0.245

                                                                       

ITERATION - loss: 0.21:   0%|          | 0/13 [01:24<00:00, 13.33it/s]
                                                                      

Validation Results - Epoch: 67 Metrics: mse: 0.243, avep: 0.919, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.395, loss: 0.243

ITERATION - loss: 0.21:   0%|          | 0/13 [01:24<00:00, 13.33it/s]
ITERATION - loss: 0.24:  23%|██▎       | 3/13 [01:25<00:01,  7.02it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:25<00:00,  8.84it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:25<00:00, 11.04it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:25<00:00, 12.79it/s]
ITERATION - loss: 0.25: 100%|██████████| 13/13 [01:25<00:00, 12.79it/s]
                                                                       

Training Results - Epoch: 68 Metrics: mse: 0.240, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.391, loss: 0.240

ITERATION - loss: 0.25:   0%|          | 0/13 [01:26<00:01, 12.79it/s]
                                                                      

Validation Results - Epoch: 68 Metrics: mse: 0.236, avep: 0.917, top5: 0.952, frac_mc: 0.840, top1: 0.970, mae: 0.390, loss: 0.236

ITERATION - loss: 0.25:   0%|          | 0/13 [01:26<00:01, 12.79it/s]
ITERATION - loss: 0.24:  23%|██▎       | 3/13 [01:26<00:01,  7.02it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [01:26<00:00,  8.91it/s]
ITERATION - loss: 0.31:  69%|██████▉   | 9/13 [01:26<00:00, 11.17it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:26<00:00, 13.72it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:26<00:00, 13.72it/s]
                                                                       

Training Results - Epoch: 69 Metrics: mse: 0.225, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.376, loss: 0.225

ITERATION - loss: 0.35:   0%|          | 0/13 [01:27<00:00, 13.72it/s]
                                                                      

Validation Results - Epoch: 69 Metrics: mse: 0.222, avep: 0.919, top5: 0.954, frac_mc: 0.843, top1: 0.970, mae: 0.376, loss: 0.222

ITERATION - loss: 0.35:   0%|          | 0/13 [01:27<00:00, 13.72it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:27<00:01,  7.03it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [01:27<00:00,  9.11it/s]
ITERATION - loss: 0.23:  69%|██████▉   | 9/13 [01:27<00:00, 11.11it/s]
ITERATION - loss: 0.37:  92%|█████████▏| 12/13 [01:27<00:00, 13.60it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:27<00:00, 13.60it/s]
                                                                       

Training Results - Epoch: 70 Metrics: mse: 0.345, avep: 0.924, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.475, loss: 0.345

ITERATION - loss: 0.23:   0%|          | 0/13 [01:28<00:00, 13.60it/s]
                                                                      

Validation Results - Epoch: 70 Metrics: mse: 0.347, avep: 0.920, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.480, loss: 0.347

ITERATION - loss: 0.23:   0%|          | 0/13 [01:28<00:00, 13.60it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:28<00:01,  7.07it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:28<00:00,  9.16it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [01:29<00:00, 11.22it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [01:29<00:00, 11.22it/s]
                                                                       

Training Results - Epoch: 71 Metrics: mse: 0.229, avep: 0.923, top5: 0.948, frac_mc: 0.849, top1: 0.985, mae: 0.380, loss: 0.229

ITERATION - loss: 0.26:   0%|          | 0/13 [01:29<00:01, 11.22it/s]
                                                                      

Validation Results - Epoch: 71 Metrics: mse: 0.227, avep: 0.920, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.381, loss: 0.227

ITERATION - loss: 0.26:   0%|          | 0/13 [01:29<00:01, 11.22it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:30<00:01,  6.12it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:30<00:00,  7.74it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [01:30<00:00,  9.82it/s]
ITERATION - loss: 0.22:  92%|█████████▏| 12/13 [01:30<00:00, 11.69it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:30<00:00, 11.69it/s]
                                                                       

Training Results - Epoch: 72 Metrics: mse: 0.220, avep: 0.923, top5: 0.949, frac_mc: 0.850, top1: 0.985, mae: 0.372, loss: 0.220

ITERATION - loss: 0.22:   0%|          | 0/13 [01:31<00:01, 11.69it/s]
                                                                      

Validation Results - Epoch: 72 Metrics: mse: 0.218, avep: 0.920, top5: 0.954, frac_mc: 0.842, top1: 0.980, mae: 0.373, loss: 0.218

ITERATION - loss: 0.22:   0%|          | 0/13 [01:31<00:01, 11.69it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [01:31<00:01,  6.52it/s]
ITERATION - loss: 0.21:  46%|████▌     | 6/13 [01:31<00:00,  8.38it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:31<00:00, 10.55it/s]
ITERATION - loss: 0.24:  92%|█████████▏| 12/13 [01:31<00:00, 12.61it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:31<00:00, 12.61it/s]
Training Results - Epoch: 73 Metrics: mse: 0.223, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.376, loss: 0.223

                                                                       

ITERATION - loss: 0.24:   0%|          | 0/13 [01:32<00:01, 12.61it/s]
Validation Results - Epoch: 73 Metrics: mse: 0.220, avep: 0.919, top5: 0.954, frac_mc: 0.843, top1: 0.970, mae: 0.376, loss: 0.220

                                                                      

ITERATION - loss: 0.24:   0%|          | 0/13 [01:32<00:01, 12.61it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:32<00:01,  6.91it/s]
ITERATION - loss: 0.21:  46%|████▌     | 6/13 [01:32<00:00,  8.79it/s]
ITERATION - loss: 0.23:  69%|██████▉   | 9/13 [01:32<00:00, 11.12it/s]
ITERATION - loss: 0.22:  92%|█████████▏| 12/13 [01:33<00:00, 13.69it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:33<00:00, 13.69it/s]
                                                                       

Training Results - Epoch: 74 Metrics: mse: 0.237, avep: 0.922, top5: 0.950, frac_mc: 0.847, top1: 0.985, mae: 0.392, loss: 0.237

ITERATION - loss: 0.24:   0%|          | 0/13 [01:33<00:00, 13.69it/s]
                                                                      

Validation Results - Epoch: 74 Metrics: mse: 0.233, avep: 0.918, top5: 0.954, frac_mc: 0.840, top1: 0.970, mae: 0.391, loss: 0.233

ITERATION - loss: 0.24:   0%|          | 0/13 [01:33<00:00, 13.69it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [01:33<00:01,  6.87it/s]
ITERATION - loss: 0.22:  54%|█████▍    | 7/13 [01:34<00:00,  8.80it/s]
ITERATION - loss: 0.24:  77%|███████▋  | 10/13 [01:34<00:00, 11.16it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:34<00:00, 11.16it/s]
                                                                       

Training Results - Epoch: 75 Metrics: mse: 0.217, avep: 0.922, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.369, loss: 0.217

ITERATION - loss: 0.22:   0%|          | 0/13 [01:34<00:01, 11.16it/s]
                                                                      

ITERATION - loss: 0.22:   0%|          | 0/13 [01:35<00:01, 11.16it/s]
Validation Results - Epoch: 75 Metrics: mse: 0.215, avep: 0.919, top5: 0.954, frac_mc: 0.843, top1: 0.970, mae: 0.369, loss: 0.215

ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:35<00:01,  6.11it/s]
ITERATION - loss: 0.25:  46%|████▌     | 6/13 [01:35<00:00,  7.99it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [01:35<00:00,  9.84it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [01:35<00:00, 12.24it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:35<00:00, 12.24it/s]
                                                                       
Training Results - Epoch: 76 Metrics: mse: 0.213, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.365, loss: 0.213


ITERATION - loss: 0.22:   0%|          | 0/13 [01:36<00:01, 12.24it/s]
                                                                      

Validation Results - Epoch: 76 Metrics: mse: 0.211, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.366, loss: 0.211

ITERATION - loss: 0.22:   0%|          | 0/13 [01:36<00:01, 12.24it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:36<00:01,  6.67it/s]
ITERATION - loss: 0.23:  46%|████▌     | 6/13 [01:36<00:00,  8.67it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [01:36<00:00, 10.99it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:36<00:00, 13.00it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:36<00:00, 13.00it/s]
                                                                       

Training Results - Epoch: 77 Metrics: mse: 0.210, avep: 0.922, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.364, loss: 0.210

ITERATION - loss: 0.21:   0%|          | 0/13 [01:37<00:01, 13.00it/s]
                                                                      
Validation Results - Epoch: 77 Metrics: mse: 0.207, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.364, loss: 0.207

ITERATION - loss: 0.21:   0%|          | 0/13 [01:37<00:01, 13.00it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:37<00:01,  7.07it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [01:37<00:00,  8.96it/s]
ITERATION - loss: 0.20:  69%|██████▉   | 9/13 [01:37<00:00, 11.24it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:38<00:00, 14.05it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:38<00:00, 14.05it/s]
                                                                       

Training Results - Epoch: 78 Metrics: mse: 0.218, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.369, loss: 0.218

ITERATION - loss: 0.23:   0%|          | 0/13 [01:38<00:00, 14.05it/s]
                                                                      

Validation Results - Epoch: 78 Metrics: mse: 0.216, avep: 0.919, top5: 0.954, frac_mc: 0.841, top1: 0.970, mae: 0.369, loss: 0.216

ITERATION - loss: 0.23:   0%|          | 0/13 [01:38<00:00, 14.05it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:38<00:01,  7.17it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [01:39<00:00,  9.29it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [01:39<00:00, 11.33it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [01:39<00:00, 13.84it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:39<00:00, 13.84it/s]
                                                                       

Training Results - Epoch: 79 Metrics: mse: 0.213, avep: 0.922, top5: 0.950, frac_mc: 0.847, top1: 0.985, mae: 0.370, loss: 0.213

ITERATION - loss: 0.21:   0%|          | 0/13 [01:39<00:00, 13.84it/s]
                                                                      
Validation Results - Epoch: 79 Metrics: mse: 0.210, avep: 0.918, top5: 0.952, frac_mc: 0.840, top1: 0.970, mae: 0.370, loss: 0.210

ITERATION - loss: 0.21:   0%|          | 0/13 [01:40<00:00, 13.84it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [01:40<00:01,  7.02it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:40<00:00,  8.89it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:40<00:00, 10.99it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [01:40<00:00, 13.41it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:40<00:00, 13.41it/s]
                                                                       

Training Results - Epoch: 80 Metrics: mse: 0.206, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.359, loss: 0.206

ITERATION - loss: 0.24:   0%|          | 0/13 [01:41<00:00, 13.41it/s]
Validation Results - Epoch: 80 Metrics: mse: 0.204, avep: 0.918, top5: 0.952, frac_mc: 0.840, top1: 0.970, mae: 0.360, loss: 0.204

                                                                      

ITERATION - loss: 0.24:   0%|          | 0/13 [01:41<00:00, 13.41it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:41<00:01,  6.99it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:41<00:00,  8.99it/s]
ITERATION - loss: 0.22:  69%|██████▉   | 9/13 [01:41<00:00, 11.29it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [01:41<00:00, 13.27it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:41<00:00, 13.27it/s]
                                                                       

Training Results - Epoch: 81 Metrics: mse: 0.205, avep: 0.922, top5: 0.950, frac_mc: 0.847, top1: 0.985, mae: 0.361, loss: 0.205

ITERATION - loss: 0.22:   0%|          | 0/13 [01:42<00:00, 13.27it/s]
                                                                      

Validation Results - Epoch: 81 Metrics: mse: 0.203, avep: 0.918, top5: 0.954, frac_mc: 0.840, top1: 0.970, mae: 0.361, loss: 0.203

ITERATION - loss: 0.22:   0%|          | 0/13 [01:42<00:00, 13.27it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [01:42<00:01,  7.02it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:42<00:00,  9.01it/s]
ITERATION - loss: 0.20:  69%|██████▉   | 9/13 [01:42<00:00, 11.31it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:43<00:00, 13.88it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:43<00:00, 13.88it/s]
                                                                       

Training Results - Epoch: 82 Metrics: mse: 0.237, avep: 0.923, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.384, loss: 0.237

ITERATION - loss: 0.19:   0%|          | 0/13 [01:43<00:00, 13.88it/s]
                                                                      

Validation Results - Epoch: 82 Metrics: mse: 0.236, avep: 0.920, top5: 0.954, frac_mc: 0.842, top1: 0.980, mae: 0.386, loss: 0.236

ITERATION - loss: 0.19:   0%|          | 0/13 [01:43<00:00, 13.88it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [01:43<00:01,  6.91it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:44<00:00,  8.80it/s]
ITERATION - loss: 0.23:  69%|██████▉   | 9/13 [01:44<00:00, 11.14it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [01:44<00:00, 13.61it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:44<00:00, 13.61it/s]
                                                                       

Training Results - Epoch: 83 Metrics: mse: 0.202, avep: 0.923, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.356, loss: 0.202

ITERATION - loss: 0.19:   0%|          | 0/13 [01:44<00:00, 13.61it/s]
                                                                      

Validation Results - Epoch: 83 Metrics: mse: 0.200, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.980, mae: 0.358, loss: 0.200

ITERATION - loss: 0.19:   0%|          | 0/13 [01:45<00:00, 13.61it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:45<00:01,  6.85it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [01:45<00:00,  8.52it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:45<00:00, 10.81it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [01:45<00:00, 13.23it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [01:45<00:00, 13.23it/s]
                                                                       

Training Results - Epoch: 84 Metrics: mse: 0.204, avep: 0.922, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.356, loss: 0.204

ITERATION - loss: 0.26:   0%|          | 0/13 [01:46<00:00, 13.23it/s]
                                                                      
Validation Results - Epoch: 84 Metrics: mse: 0.202, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.357, loss: 0.202

ITERATION - loss: 0.26:   0%|          | 0/13 [01:46<00:00, 13.23it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:46<00:01,  6.99it/s]
ITERATION - loss: 0.25:  46%|████▌     | 6/13 [01:46<00:00,  9.02it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [01:46<00:00, 11.14it/s]
ITERATION - loss: 0.24:  92%|█████████▏| 12/13 [01:46<00:00, 13.57it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:46<00:00, 13.57it/s]
                                                                       

Training Results - Epoch: 85 Metrics: mse: 0.224, avep: 0.923, top5: 0.949, frac_mc: 0.850, top1: 0.985, mae: 0.373, loss: 0.224

ITERATION - loss: 0.22:   0%|          | 0/13 [01:47<00:00, 13.57it/s]
                                                                      

Validation Results - Epoch: 85 Metrics: mse: 0.224, avep: 0.920, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.376, loss: 0.224

ITERATION - loss: 0.22:   0%|          | 0/13 [01:47<00:00, 13.57it/s]
ITERATION - loss: 0.23:  23%|██▎       | 3/13 [01:47<00:01,  6.98it/s]
ITERATION - loss: 0.24:  54%|█████▍    | 7/13 [01:47<00:00,  9.06it/s]
ITERATION - loss: 0.21:  77%|███████▋  | 10/13 [01:48<00:00, 11.40it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:48<00:00, 13.75it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:48<00:00, 13.75it/s]
                                                                       

Training Results - Epoch: 86 Metrics: mse: 0.199, avep: 0.922, top5: 0.949, frac_mc: 0.848, top1: 0.985, mae: 0.356, loss: 0.199

ITERATION - loss: 0.19:   0%|          | 0/13 [01:48<00:00, 13.75it/s]
Validation Results - Epoch: 86 Metrics: mse: 0.198, avep: 0.919, top5: 0.954, frac_mc: 0.842, top1: 0.970, mae: 0.357, loss: 0.198

                                                                      

ITERATION - loss: 0.19:   0%|          | 0/13 [01:48<00:00, 13.75it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:48<00:01,  7.33it/s]
ITERATION - loss: 0.21:  46%|████▌     | 6/13 [01:49<00:00,  9.21it/s]
ITERATION - loss: 0.22:  69%|██████▉   | 9/13 [01:49<00:00, 11.57it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [01:49<00:00, 13.92it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [01:49<00:00, 13.92it/s]
                                                                       

Training Results - Epoch: 87 Metrics: mse: 0.204, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.364, loss: 0.204

ITERATION - loss: 0.20:   0%|          | 0/13 [01:49<00:00, 13.92it/s]
                                                                      
Validation Results - Epoch: 87 Metrics: mse: 0.202, avep: 0.919, top5: 0.954, frac_mc: 0.841, top1: 0.970, mae: 0.364, loss: 0.202


ITERATION - loss: 0.20:   0%|          | 0/13 [01:50<00:00, 13.92it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [01:50<00:01,  7.03it/s]
ITERATION - loss: 0.22:  38%|███▊      | 5/13 [01:50<00:00,  8.39it/s]
ITERATION - loss: 0.20:  62%|██████▏   | 8/13 [01:50<00:00, 10.38it/s]
ITERATION - loss: 0.20:  85%|████████▍ | 11/13 [01:50<00:00, 12.26it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [01:50<00:00, 12.26it/s]
Training Results - Epoch: 88 Metrics: mse: 0.220, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.385, loss: 0.220

                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [01:51<00:01, 12.26it/s]
Validation Results - Epoch: 88 Metrics: mse: 0.218, avep: 0.918, top5: 0.950, frac_mc: 0.840, top1: 0.970, mae: 0.385, loss: 0.218

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [01:51<00:01, 12.26it/s]
ITERATION - loss: 0.21:  15%|█▌        | 2/13 [01:51<00:02,  5.29it/s]
ITERATION - loss: 0.20:  38%|███▊      | 5/13 [01:51<00:01,  6.93it/s]
ITERATION - loss: 0.22:  62%|██████▏   | 8/13 [01:51<00:00,  8.76it/s]
ITERATION - loss: 0.17:  85%|████████▍ | 11/13 [01:51<00:00, 11.08it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:51<00:00, 11.08it/s]
                                                                       

Training Results - Epoch: 89 Metrics: mse: 0.197, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.356, loss: 0.197

ITERATION - loss: 0.19:   0%|          | 0/13 [01:52<00:01, 11.08it/s]
                                                                      

Validation Results - Epoch: 89 Metrics: mse: 0.196, avep: 0.918, top5: 0.952, frac_mc: 0.841, top1: 0.970, mae: 0.357, loss: 0.196

ITERATION - loss: 0.19:   0%|          | 0/13 [01:52<00:01, 11.08it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:52<00:01,  6.32it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [01:52<00:00,  8.23it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [01:53<00:00, 10.33it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:53<00:00, 12.83it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [01:53<00:00, 12.83it/s]
                                                                       

Training Results - Epoch: 90 Metrics: mse: 0.214, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.362, loss: 0.214

ITERATION - loss: 0.17:   0%|          | 0/13 [01:53<00:01, 12.83it/s]
                                                                      

Validation Results - Epoch: 90 Metrics: mse: 0.213, avep: 0.920, top5: 0.952, frac_mc: 0.843, top1: 0.980, mae: 0.364, loss: 0.213

ITERATION - loss: 0.17:   0%|          | 0/13 [01:53<00:01, 12.83it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [01:54<00:01,  6.77it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [01:54<00:00,  8.69it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [01:54<00:00, 10.85it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [01:54<00:00, 12.95it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [01:54<00:00, 12.95it/s]
                                                                       

Training Results - Epoch: 91 Metrics: mse: 0.191, avep: 0.922, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.346, loss: 0.191

ITERATION - loss: 0.19:   0%|          | 0/13 [01:55<00:01, 12.95it/s]
                                                                      

Validation Results - Epoch: 91 Metrics: mse: 0.190, avep: 0.919, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.348, loss: 0.190

ITERATION - loss: 0.19:   0%|          | 0/13 [01:55<00:01, 12.95it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [01:55<00:01,  6.89it/s]
ITERATION - loss: 0.21:  46%|████▌     | 6/13 [01:55<00:00,  8.78it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [01:55<00:00, 11.12it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [01:55<00:00, 13.55it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [01:55<00:00, 13.55it/s]
                                                                       

Training Results - Epoch: 92 Metrics: mse: 0.190, avep: 0.923, top5: 0.949, frac_mc: 0.849, top1: 0.985, mae: 0.344, loss: 0.190

ITERATION - loss: 0.17:   0%|          | 0/13 [01:56<00:00, 13.55it/s]
                                                                      

Validation Results - Epoch: 92 Metrics: mse: 0.190, avep: 0.919, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.347, loss: 0.190

ITERATION - loss: 0.17:   0%|          | 0/13 [01:56<00:00, 13.55it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:56<00:01,  6.90it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [01:56<00:00,  8.76it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [01:56<00:00, 11.04it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [01:56<00:00, 13.60it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [01:56<00:00, 13.60it/s]
                                                                       

Training Results - Epoch: 93 Metrics: mse: 0.194, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.346, loss: 0.194

ITERATION - loss: 0.22:   0%|          | 0/13 [01:57<00:00, 13.60it/s]
                                                                      

Validation Results - Epoch: 93 Metrics: mse: 0.194, avep: 0.920, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.348, loss: 0.194

ITERATION - loss: 0.22:   0%|          | 0/13 [01:57<00:00, 13.60it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:57<00:01,  6.92it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [01:58<00:00,  8.97it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [01:58<00:00, 11.13it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [01:58<00:00, 13.64it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [01:58<00:00, 13.64it/s]
                                                                       

Training Results - Epoch: 94 Metrics: mse: 0.189, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.342, loss: 0.189

ITERATION - loss: 0.20:   0%|          | 0/13 [01:58<00:00, 13.64it/s]
                                                                      

Validation Results - Epoch: 94 Metrics: mse: 0.188, avep: 0.920, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.345, loss: 0.188

ITERATION - loss: 0.20:   0%|          | 0/13 [01:59<00:00, 13.64it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:59<00:01,  7.01it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [01:59<00:00,  9.03it/s]
ITERATION - loss: 0.23:  69%|██████▉   | 9/13 [01:59<00:00, 11.31it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [01:59<00:00, 13.37it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:59<00:00, 13.37it/s]
                                                                       

Training Results - Epoch: 95 Metrics: mse: 0.192, avep: 0.923, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.354, loss: 0.192

ITERATION - loss: 0.23:   0%|          | 0/13 [02:00<00:00, 13.37it/s]
                                                                      

Validation Results - Epoch: 95 Metrics: mse: 0.191, avep: 0.919, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.355, loss: 0.191

ITERATION - loss: 0.23:   0%|          | 0/13 [02:00<00:00, 13.37it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:00<00:01,  6.72it/s]
ITERATION - loss: 0.21:  46%|████▌     | 6/13 [02:00<00:00,  8.76it/s]
ITERATION - loss: 0.22:  69%|██████▉   | 9/13 [02:00<00:00, 11.09it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [02:00<00:00, 13.18it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [02:00<00:00, 13.18it/s]
                                                                       

Training Results - Epoch: 96 Metrics: mse: 0.240, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.985, mae: 0.414, loss: 0.240

ITERATION - loss: 0.22:   0%|          | 0/13 [02:01<00:00, 13.18it/s]
                                                                      

Validation Results - Epoch: 96 Metrics: mse: 0.239, avep: 0.918, top5: 0.952, frac_mc: 0.840, top1: 0.980, mae: 0.414, loss: 0.239

ITERATION - loss: 0.22:   0%|          | 0/13 [02:01<00:00, 13.18it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [02:01<00:01,  7.11it/s]
ITERATION - loss: 0.19:  46%|████▌     | 6/13 [02:01<00:00,  9.03it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [02:01<00:00, 11.28it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:02<00:00, 13.83it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:02<00:00, 13.83it/s]
Training Results - Epoch: 97 Metrics: mse: 0.187, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.339, loss: 0.187

                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [02:02<00:00, 13.83it/s]
Validation Results - Epoch: 97 Metrics: mse: 0.187, avep: 0.919, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.342, loss: 0.187

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [02:02<00:00, 13.83it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:02<00:01,  7.15it/s]
ITERATION - loss: 0.19:  54%|█████▍    | 7/13 [02:03<00:00,  9.28it/s]
ITERATION - loss: 0.17:  77%|███████▋  | 10/13 [02:03<00:00, 11.38it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [02:03<00:00, 11.38it/s]
                                                                       

Training Results - Epoch: 98 Metrics: mse: 0.185, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.344, loss: 0.185

ITERATION - loss: 0.20:   0%|          | 0/13 [02:03<00:01, 11.38it/s]
                                                                      

Validation Results - Epoch: 98 Metrics: mse: 0.184, avep: 0.919, top5: 0.948, frac_mc: 0.841, top1: 0.980, mae: 0.345, loss: 0.184

ITERATION - loss: 0.20:   0%|          | 0/13 [02:04<00:01, 11.38it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:04<00:01,  6.22it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [02:04<00:00,  8.15it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:04<00:00, 10.37it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [02:04<00:00, 12.43it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [02:04<00:00, 12.43it/s]
                                                                       

Training Results - Epoch: 99 Metrics: mse: 0.193, avep: 0.922, top5: 0.949, frac_mc: 0.847, top1: 0.988, mae: 0.361, loss: 0.193

ITERATION - loss: 0.22:   0%|          | 0/13 [02:05<00:01, 12.43it/s]
                                                                      

Validation Results - Epoch: 99 Metrics: mse: 0.193, avep: 0.919, top5: 0.950, frac_mc: 0.840, top1: 0.980, mae: 0.362, loss: 0.193

ITERATION - loss: 0.22:   0%|          | 0/13 [02:05<00:01, 12.43it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:05<00:01,  6.84it/s]
ITERATION - loss: 0.19:  38%|███▊      | 5/13 [02:05<00:00,  8.47it/s]
ITERATION - loss: 0.19:  62%|██████▏   | 8/13 [02:05<00:00, 10.64it/s]
ITERATION - loss: 0.20:  85%|████████▍ | 11/13 [02:05<00:00, 13.11it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:05<00:00, 13.11it/s]
                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [02:06<00:00, 13.11it/s]
Training Results - Epoch: 100 Metrics: mse: 0.207, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.985, mae: 0.354, loss: 0.207

                                                                      

Validation Results - Epoch: 100 Metrics: mse: 0.209, avep: 0.920, top5: 0.952, frac_mc: 0.842, top1: 0.980, mae: 0.356, loss: 0.209

ITERATION - loss: 0.17:   0%|          | 0/13 [02:06<00:00, 13.11it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [02:06<00:01,  6.73it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:06<00:00,  8.62it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [02:06<00:00, 10.87it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:06<00:00, 13.25it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:07<00:00, 13.25it/s]
Training Results - Epoch: 101 Metrics: mse: 0.189, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.985, mae: 0.338, loss: 0.189

                                                                       

ITERATION - loss: 0.21:   0%|          | 0/13 [02:07<00:00, 13.25it/s]
                                                                      

Validation Results - Epoch: 101 Metrics: mse: 0.190, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.341, loss: 0.190

ITERATION - loss: 0.21:   0%|          | 0/13 [02:07<00:00, 13.25it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:07<00:01,  6.71it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:08<00:00,  8.47it/s]
ITERATION - loss: 0.19:  77%|███████▋  | 10/13 [02:08<00:00, 10.81it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:08<00:00, 10.81it/s]
                                                                       

Training Results - Epoch: 102 Metrics: mse: 0.197, avep: 0.922, top5: 0.950, frac_mc: 0.847, top1: 0.988, mae: 0.370, loss: 0.197

ITERATION - loss: 0.18:   0%|          | 0/13 [02:08<00:01, 10.81it/s]
                                                                      

Validation Results - Epoch: 102 Metrics: mse: 0.197, avep: 0.919, top5: 0.950, frac_mc: 0.840, top1: 0.980, mae: 0.371, loss: 0.197

ITERATION - loss: 0.18:   0%|          | 0/13 [02:09<00:01, 10.81it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:09<00:01,  6.16it/s]
ITERATION - loss: 0.19:  46%|████▌     | 6/13 [02:09<00:00,  7.98it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [02:09<00:00, 10.02it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:09<00:00, 12.46it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:09<00:00, 12.46it/s]
                                                                       

Training Results - Epoch: 103 Metrics: mse: 0.184, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.334, loss: 0.184

ITERATION - loss: 0.18:   0%|          | 0/13 [02:10<00:01, 12.46it/s]
Validation Results - Epoch: 103 Metrics: mse: 0.185, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.337, loss: 0.185

                                                                      

ITERATION - loss: 0.18:   0%|          | 0/13 [02:10<00:01, 12.46it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:10<00:01,  6.43it/s]
ITERATION - loss: 0.19:  46%|████▌     | 6/13 [02:10<00:00,  8.41it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:10<00:00, 10.51it/s]
ITERATION - loss: 0.21:  92%|█████████▏| 12/13 [02:10<00:00, 12.96it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:10<00:00, 12.96it/s]
                                                                       

Training Results - Epoch: 104 Metrics: mse: 0.178, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.333, loss: 0.178

ITERATION - loss: 0.21:   0%|          | 0/13 [02:11<00:01, 12.96it/s]
                                                                      

Validation Results - Epoch: 104 Metrics: mse: 0.179, avep: 0.919, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.335, loss: 0.179

ITERATION - loss: 0.21:   0%|          | 0/13 [02:11<00:01, 12.96it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:11<00:01,  6.75it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:11<00:00,  8.74it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:12<00:00, 10.98it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:12<00:00, 12.92it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:12<00:00, 12.92it/s]
                                                                       

Training Results - Epoch: 105 Metrics: mse: 0.181, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.332, loss: 0.181

ITERATION - loss: 0.17:   0%|          | 0/13 [02:12<00:01, 12.92it/s]
                                                                      

Validation Results - Epoch: 105 Metrics: mse: 0.182, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.335, loss: 0.182

ITERATION - loss: 0.17:   0%|          | 0/13 [02:12<00:01, 12.92it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:13<00:01,  6.98it/s]
ITERATION - loss: 0.19:  46%|████▌     | 6/13 [02:13<00:00,  8.89it/s]
ITERATION - loss: 0.20:  69%|██████▉   | 9/13 [02:13<00:00, 11.22it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:13<00:00, 14.06it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:13<00:00, 14.06it/s]
                                                                       

Training Results - Epoch: 106 Metrics: mse: 0.177, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.337, loss: 0.177

ITERATION - loss: 0.16:   0%|          | 0/13 [02:14<00:00, 14.06it/s]
                                                                      

Validation Results - Epoch: 106 Metrics: mse: 0.178, avep: 0.919, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.339, loss: 0.178

ITERATION - loss: 0.16:   0%|          | 0/13 [02:14<00:00, 14.06it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:14<00:01,  7.02it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:14<00:00,  9.10it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:14<00:00, 11.19it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:14<00:00, 13.53it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:14<00:00, 13.53it/s]
Training Results - Epoch: 107 Metrics: mse: 0.179, avep: 0.923, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.345, loss: 0.179

                                                                       

ITERATION - loss: 0.21:   0%|          | 0/13 [02:15<00:00, 13.53it/s]
                                                                      

Validation Results - Epoch: 107 Metrics: mse: 0.180, avep: 0.919, top5: 0.950, frac_mc: 0.840, top1: 0.980, mae: 0.346, loss: 0.180

ITERATION - loss: 0.21:   0%|          | 0/13 [02:15<00:00, 13.53it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:15<00:01,  6.95it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [02:15<00:00,  8.99it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [02:15<00:00, 10.88it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:15<00:00, 13.26it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:15<00:00, 13.26it/s]
                                                                       

Training Results - Epoch: 108 Metrics: mse: 0.192, avep: 0.923, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.369, loss: 0.192

ITERATION - loss: 0.18:   0%|          | 0/13 [02:16<00:00, 13.26it/s]
                                                                      

Validation Results - Epoch: 108 Metrics: mse: 0.193, avep: 0.919, top5: 0.952, frac_mc: 0.840, top1: 0.980, mae: 0.371, loss: 0.193

ITERATION - loss: 0.18:   0%|          | 0/13 [02:16<00:00, 13.26it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:16<00:01,  6.98it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:16<00:00,  8.97it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:17<00:00, 11.35it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:17<00:00, 13.36it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:17<00:00, 13.36it/s]
                                                                       
Training Results - Epoch: 109 Metrics: mse: 0.178, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.344, loss: 0.178

ITERATION - loss: 0.16:   0%|          | 0/13 [02:17<00:00, 13.36it/s]
                                                                      
Validation Results - Epoch: 109 Metrics: mse: 0.179, avep: 0.920, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.345, loss: 0.179

ITERATION - loss: 0.16:   0%|          | 0/13 [02:17<00:00, 13.36it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [02:18<00:01,  7.02it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:18<00:00,  8.91it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [02:18<00:00, 11.22it/s]
ITERATION - loss: 0.24:  92%|█████████▏| 12/13 [02:18<00:00, 13.55it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:18<00:00, 13.55it/s]
                                                                       

Training Results - Epoch: 110 Metrics: mse: 0.200, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.344, loss: 0.200

ITERATION - loss: 0.18:   0%|          | 0/13 [02:19<00:00, 13.55it/s]
Validation Results - Epoch: 110 Metrics: mse: 0.203, avep: 0.920, top5: 0.950, frac_mc: 0.841, top1: 0.980, mae: 0.348, loss: 0.203

                                                                      

ITERATION - loss: 0.18:   0%|          | 0/13 [02:19<00:00, 13.55it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:19<00:01,  6.89it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [02:19<00:00,  8.83it/s]
ITERATION - loss: 0.22:  69%|██████▉   | 9/13 [02:19<00:00, 11.20it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [02:19<00:00, 14.01it/s]
ITERATION - loss: 0.22: 100%|██████████| 13/13 [02:19<00:00, 14.01it/s]
Training Results - Epoch: 111 Metrics: mse: 0.282, avep: 0.922, top5: 0.950, frac_mc: 0.848, top1: 0.988, mae: 0.470, loss: 0.282

                                                                       

ITERATION - loss: 0.22:   0%|          | 0/13 [02:20<00:00, 14.01it/s]
                                                                      

Validation Results - Epoch: 111 Metrics: mse: 0.282, avep: 0.918, top5: 0.948, frac_mc: 0.840, top1: 0.980, mae: 0.471, loss: 0.282

ITERATION - loss: 0.22:   0%|          | 0/13 [02:20<00:00, 14.01it/s]
ITERATION - loss: 0.41:  23%|██▎       | 3/13 [02:20<00:01,  6.94it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:20<00:00,  8.95it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [02:20<00:00, 11.03it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:20<00:00, 13.83it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:20<00:00, 13.83it/s]
                                                                       

Training Results - Epoch: 112 Metrics: mse: 0.181, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.985, mae: 0.348, loss: 0.181

ITERATION - loss: 0.17:   0%|          | 0/13 [02:21<00:00, 13.83it/s]
                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [02:21<00:00, 13.83it/s]
Validation Results - Epoch: 112 Metrics: mse: 0.182, avep: 0.921, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.350, loss: 0.182

ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:21<00:01,  7.15it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:21<00:00,  9.23it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:22<00:00, 11.45it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [02:22<00:00, 13.48it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:22<00:00, 13.48it/s]
                                                                       

Training Results - Epoch: 113 Metrics: mse: 0.174, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.329, loss: 0.174

ITERATION - loss: 0.15:   0%|          | 0/13 [02:22<00:00, 13.48it/s]
                                                                      

Validation Results - Epoch: 113 Metrics: mse: 0.176, avep: 0.920, top5: 0.952, frac_mc: 0.841, top1: 0.980, mae: 0.332, loss: 0.176

ITERATION - loss: 0.15:   0%|          | 0/13 [02:23<00:00, 13.48it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:23<00:01,  6.92it/s]
ITERATION - loss: 0.18:  54%|█████▍    | 7/13 [02:23<00:00,  9.00it/s]
ITERATION - loss: 0.18:  85%|████████▍ | 11/13 [02:23<00:00, 11.22it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:23<00:00, 11.22it/s]
                                                                       

Training Results - Epoch: 114 Metrics: mse: 0.174, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.335, loss: 0.174

ITERATION - loss: 0.21:   0%|          | 0/13 [02:24<00:01, 11.22it/s]
                                                                      

Validation Results - Epoch: 114 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.337, loss: 0.175

ITERATION - loss: 0.21:   0%|          | 0/13 [02:24<00:01, 11.22it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:24<00:01,  6.52it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:24<00:00,  8.38it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:24<00:00, 10.65it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:24<00:00, 13.40it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:24<00:00, 13.40it/s]
                                                                       

Training Results - Epoch: 115 Metrics: mse: 0.179, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.347, loss: 0.179

ITERATION - loss: 0.21:   0%|          | 0/13 [02:25<00:00, 13.40it/s]
                                                                      

Validation Results - Epoch: 115 Metrics: mse: 0.180, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.349, loss: 0.180

ITERATION - loss: 0.21:   0%|          | 0/13 [02:25<00:00, 13.40it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:25<00:01,  6.91it/s]
ITERATION - loss: 0.15:  54%|█████▍    | 7/13 [02:25<00:00,  8.98it/s]
ITERATION - loss: 0.19:  77%|███████▋  | 10/13 [02:25<00:00, 11.06it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [02:25<00:00, 11.06it/s]
                                                                       

Training Results - Epoch: 116 Metrics: mse: 0.173, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.334, loss: 0.173

ITERATION - loss: 0.20:   0%|          | 0/13 [02:26<00:01, 11.06it/s]
                                                                      

Validation Results - Epoch: 116 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.336, loss: 0.175

ITERATION - loss: 0.20:   0%|          | 0/13 [02:26<00:01, 11.06it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:26<00:01,  6.08it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:26<00:00,  7.93it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:27<00:00, 10.16it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [02:27<00:00, 12.14it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:27<00:00, 12.14it/s]
                                                                       

Training Results - Epoch: 117 Metrics: mse: 0.174, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.328, loss: 0.174

ITERATION - loss: 0.18:   0%|          | 0/13 [02:27<00:01, 12.14it/s]
                                                                      

Validation Results - Epoch: 117 Metrics: mse: 0.176, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.331, loss: 0.176

ITERATION - loss: 0.18:   0%|          | 0/13 [02:28<00:01, 12.14it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:28<00:01,  6.59it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:28<00:00,  8.52it/s]
ITERATION - loss: 0.20:  77%|███████▋  | 10/13 [02:28<00:00, 10.85it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:28<00:00, 13.14it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:28<00:00, 13.14it/s]
Training Results - Epoch: 118 Metrics: mse: 0.173, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.329, loss: 0.173

                                                                       

ITERATION - loss: 0.16:   0%|          | 0/13 [02:29<00:00, 13.14it/s]
Validation Results - Epoch: 118 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.332, loss: 0.175

                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [02:29<00:00, 13.14it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:29<00:01,  6.97it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:29<00:00,  8.86it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:29<00:00, 11.12it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:29<00:00, 13.71it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:29<00:00, 13.71it/s]
                                                                       

ITERATION - loss: 0.15:   0%|          | 0/13 [02:30<00:00, 13.71it/s]
Training Results - Epoch: 119 Metrics: mse: 0.175, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.175

                                                                      

Validation Results - Epoch: 119 Metrics: mse: 0.178, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.178

ITERATION - loss: 0.15:   0%|          | 0/13 [02:30<00:00, 13.71it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:30<00:01,  6.71it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:30<00:00,  8.54it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:30<00:00, 10.87it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [02:31<00:00, 13.40it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:31<00:00, 13.40it/s]
                                                                       

Training Results - Epoch: 120 Metrics: mse: 0.172, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.330, loss: 0.172

ITERATION - loss: 0.21:   0%|          | 0/13 [02:31<00:00, 13.40it/s]
                                                                      

Validation Results - Epoch: 120 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.333, loss: 0.174

ITERATION - loss: 0.21:   0%|          | 0/13 [02:31<00:00, 13.40it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:32<00:01,  6.83it/s]
ITERATION - loss: 0.17:  38%|███▊      | 5/13 [02:32<00:00,  8.41it/s]
ITERATION - loss: 0.17:  62%|██████▏   | 8/13 [02:32<00:00, 10.71it/s]
ITERATION - loss: 0.19:  85%|████████▍ | 11/13 [02:32<00:00, 13.25it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:32<00:00, 13.25it/s]
                                                                       

Training Results - Epoch: 121 Metrics: mse: 0.173, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.328, loss: 0.173

ITERATION - loss: 0.18:   0%|          | 0/13 [02:32<00:00, 13.25it/s]
                                                                      

Validation Results - Epoch: 121 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.331, loss: 0.174

ITERATION - loss: 0.18:   0%|          | 0/13 [02:33<00:00, 13.25it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:33<00:01,  6.85it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:33<00:00,  8.79it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [02:33<00:00, 10.83it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:33<00:00, 13.33it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:33<00:00, 13.33it/s]
                                                                       
Training Results - Epoch: 122 Metrics: mse: 0.173, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.173

ITERATION - loss: 0.17:   0%|          | 0/13 [02:34<00:00, 13.33it/s]
Validation Results - Epoch: 122 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.175

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [02:34<00:00, 13.33it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:34<00:01,  7.04it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:34<00:00,  9.13it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:34<00:00, 11.44it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:34<00:00, 13.43it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:34<00:00, 13.43it/s]
                                                                       

Training Results - Epoch: 123 Metrics: mse: 0.172, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.331, loss: 0.172

ITERATION - loss: 0.16:   0%|          | 0/13 [02:35<00:00, 13.43it/s]
                                                                      

Validation Results - Epoch: 123 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.333, loss: 0.174

ITERATION - loss: 0.16:   0%|          | 0/13 [02:35<00:00, 13.43it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:35<00:01,  7.11it/s]
ITERATION - loss: 0.16:  38%|███▊      | 5/13 [02:35<00:00,  8.80it/s]
ITERATION - loss: 0.18:  62%|██████▏   | 8/13 [02:35<00:00, 11.14it/s]
ITERATION - loss: 0.19:  85%|████████▍ | 11/13 [02:36<00:00, 13.70it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:36<00:00, 13.70it/s]
                                                                       

Training Results - Epoch: 124 Metrics: mse: 0.173, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.326, loss: 0.173

ITERATION - loss: 0.15:   0%|          | 0/13 [02:36<00:00, 13.70it/s]
                                                                      

Validation Results - Epoch: 124 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.329, loss: 0.175

ITERATION - loss: 0.15:   0%|          | 0/13 [02:36<00:00, 13.70it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:36<00:01,  6.89it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:37<00:00,  8.89it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:37<00:00, 11.03it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:37<00:00, 13.52it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:37<00:00, 13.52it/s]
                                                                       

Training Results - Epoch: 125 Metrics: mse: 0.172, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.331, loss: 0.172

ITERATION - loss: 0.19:   0%|          | 0/13 [02:37<00:00, 13.52it/s]
                                                                      

Validation Results - Epoch: 125 Metrics: mse: 0.173, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.333, loss: 0.173

ITERATION - loss: 0.19:   0%|          | 0/13 [02:38<00:00, 13.52it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:38<00:01,  7.02it/s]
ITERATION - loss: 0.16:  54%|█████▍    | 7/13 [02:38<00:00,  9.12it/s]
ITERATION - loss: 0.17:  77%|███████▋  | 10/13 [02:38<00:00, 11.13it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:38<00:00, 11.13it/s]
                                                                       

Training Results - Epoch: 126 Metrics: mse: 0.172, avep: 0.923, top5: 0.950, frac_mc: 0.849, top1: 0.988, mae: 0.333, loss: 0.172

ITERATION - loss: 0.16:   0%|          | 0/13 [02:39<00:01, 11.13it/s]
                                                                      

Validation Results - Epoch: 126 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.336, loss: 0.174

ITERATION - loss: 0.16:   0%|          | 0/13 [02:39<00:01, 11.13it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:39<00:01,  6.11it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:39<00:00,  8.00it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:39<00:00, 10.15it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:39<00:00, 12.19it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:39<00:00, 12.19it/s]
Training Results - Epoch: 127 Metrics: mse: 0.172, avep: 0.923, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.172

                                                                       

ITERATION - loss: 0.15:   0%|          | 0/13 [02:40<00:01, 12.19it/s]
                                                                      

Validation Results - Epoch: 127 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.174

ITERATION - loss: 0.15:   0%|          | 0/13 [02:40<00:01, 12.19it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:40<00:01,  6.19it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:40<00:00,  8.12it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:41<00:00, 10.38it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [02:41<00:00, 12.56it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [02:41<00:00, 12.56it/s]
                                                                       

Training Results - Epoch: 128 Metrics: mse: 0.172, avep: 0.923, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.334, loss: 0.172

ITERATION - loss: 0.21:   0%|          | 0/13 [02:41<00:01, 12.56it/s]
Validation Results - Epoch: 128 Metrics: mse: 0.174, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.336, loss: 0.174

                                                                      

ITERATION - loss: 0.21:   0%|          | 0/13 [02:42<00:01, 12.56it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:42<00:01,  6.82it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:42<00:00,  8.70it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:42<00:00, 11.03it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:42<00:00, 13.84it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:42<00:00, 13.84it/s]
                                                                       

Training Results - Epoch: 129 Metrics: mse: 0.173, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.325, loss: 0.173

ITERATION - loss: 0.17:   0%|          | 0/13 [02:43<00:00, 13.84it/s]
                                                                      

Validation Results - Epoch: 129 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.328, loss: 0.175

ITERATION - loss: 0.17:   0%|          | 0/13 [02:43<00:00, 13.84it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [02:43<00:01,  7.26it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:43<00:00,  9.37it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:43<00:00, 11.56it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:43<00:00, 14.11it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:43<00:00, 14.11it/s]
                                                                       

Training Results - Epoch: 130 Metrics: mse: 0.171, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.171

ITERATION - loss: 0.18:   0%|          | 0/13 [02:44<00:00, 14.11it/s]
Validation Results - Epoch: 130 Metrics: mse: 0.173, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.173

                                                                      

ITERATION - loss: 0.18:   0%|          | 0/13 [02:44<00:00, 14.11it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:44<00:01,  7.18it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:44<00:00,  9.22it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:44<00:00, 11.41it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [02:44<00:00, 13.51it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:44<00:00, 13.51it/s]
                                                                       

Training Results - Epoch: 131 Metrics: mse: 0.173, avep: 0.923, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.340, loss: 0.173

ITERATION - loss: 0.18:   0%|          | 0/13 [02:45<00:00, 13.51it/s]
                                                                      

Validation Results - Epoch: 131 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.342, loss: 0.175

ITERATION - loss: 0.18:   0%|          | 0/13 [02:45<00:00, 13.51it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:45<00:01,  7.14it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:45<00:00,  9.10it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [02:46<00:00, 11.43it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:46<00:00, 13.99it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:46<00:00, 13.99it/s]
                                                                       

Training Results - Epoch: 132 Metrics: mse: 0.174, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.325, loss: 0.174

ITERATION - loss: 0.18:   0%|          | 0/13 [02:46<00:00, 13.99it/s]
                                                                      

Validation Results - Epoch: 132 Metrics: mse: 0.176, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.328, loss: 0.176

ITERATION - loss: 0.18:   0%|          | 0/13 [02:46<00:00, 13.99it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:47<00:01,  7.03it/s]
ITERATION - loss: 0.17:  38%|███▊      | 5/13 [02:47<00:00,  8.53it/s]
ITERATION - loss: 0.17:  62%|██████▏   | 8/13 [02:47<00:00, 10.75it/s]
ITERATION - loss: 0.17:  85%|████████▍ | 11/13 [02:47<00:00, 13.27it/s]
ITERATION - loss: 0.14: 100%|██████████| 13/13 [02:47<00:00, 13.27it/s]
                                                                       

Training Results - Epoch: 133 Metrics: mse: 0.171, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.326, loss: 0.171

ITERATION - loss: 0.14:   0%|          | 0/13 [02:48<00:00, 13.27it/s]
                                                                      

Validation Results - Epoch: 133 Metrics: mse: 0.173, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.329, loss: 0.173

ITERATION - loss: 0.14:   0%|          | 0/13 [02:48<00:00, 13.27it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [02:48<00:01,  6.74it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:48<00:00,  8.73it/s]
ITERATION - loss: 0.21:  69%|██████▉   | 9/13 [02:48<00:00, 10.53it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:48<00:00, 13.05it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:48<00:00, 13.05it/s]
                                                                       

Training Results - Epoch: 134 Metrics: mse: 0.172, avep: 0.923, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.337, loss: 0.172

ITERATION - loss: 0.18:   0%|          | 0/13 [02:49<00:00, 13.05it/s]
                                                                      

Validation Results - Epoch: 134 Metrics: mse: 0.174, avep: 0.920, top5: 0.948, frac_mc: 0.842, top1: 0.980, mae: 0.339, loss: 0.174

ITERATION - loss: 0.18:   0%|          | 0/13 [02:49<00:00, 13.05it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:49<00:01,  7.01it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:49<00:00,  9.10it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:49<00:00, 11.27it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:49<00:00, 13.32it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [02:49<00:00, 13.32it/s]
                                                                       

Training Results - Epoch: 135 Metrics: mse: 0.172, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.338, loss: 0.172

ITERATION - loss: 0.18:   0%|          | 0/13 [02:50<00:00, 13.32it/s]
                                                                      
Validation Results - Epoch: 135 Metrics: mse: 0.174, avep: 0.920, top5: 0.948, frac_mc: 0.842, top1: 0.980, mae: 0.340, loss: 0.174

ITERATION - loss: 0.18:   0%|          | 0/13 [02:50<00:00, 13.32it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:50<00:01,  6.57it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:51<00:00,  8.55it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:51<00:00, 10.60it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:51<00:00, 12.93it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:51<00:00, 12.93it/s]
                                                                       

Training Results - Epoch: 136 Metrics: mse: 0.173, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.324, loss: 0.173

ITERATION - loss: 0.15:   0%|          | 0/13 [02:51<00:01, 12.93it/s]
Validation Results - Epoch: 136 Metrics: mse: 0.175, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.327, loss: 0.175

                                                                      

ITERATION - loss: 0.15:   0%|          | 0/13 [02:52<00:01, 12.93it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:52<00:01,  7.02it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:52<00:00,  8.88it/s]
ITERATION - loss: 0.14:  69%|██████▉   | 9/13 [02:52<00:00, 11.19it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:52<00:00, 13.54it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:52<00:00, 13.54it/s]
Training Results - Epoch: 137 Metrics: mse: 0.172, avep: 0.923, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.336, loss: 0.172

                                                                       

ITERATION - loss: 0.16:   0%|          | 0/13 [02:53<00:00, 13.54it/s]
Validation Results - Epoch: 137 Metrics: mse: 0.173, avep: 0.920, top5: 0.948, frac_mc: 0.842, top1: 0.980, mae: 0.338, loss: 0.173

                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [02:53<00:00, 13.54it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:53<00:01,  7.02it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:53<00:00,  9.02it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:53<00:00, 11.17it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [02:53<00:00, 13.22it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:53<00:00, 13.22it/s]
                                                                       

Training Results - Epoch: 138 Metrics: mse: 0.170, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.326, loss: 0.170

ITERATION - loss: 0.19:   0%|          | 0/13 [02:54<00:00, 13.22it/s]
                                                                      

Validation Results - Epoch: 138 Metrics: mse: 0.173, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.329, loss: 0.173

ITERATION - loss: 0.19:   0%|          | 0/13 [02:54<00:00, 13.22it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:54<00:01,  6.91it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [02:54<00:00,  8.91it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:54<00:00, 11.00it/s]
ITERATION - loss: 0.14:  92%|█████████▏| 12/13 [02:54<00:00, 13.53it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [02:55<00:00, 13.53it/s]
                                                                       

Training Results - Epoch: 139 Metrics: mse: 0.170, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.170

ITERATION - loss: 0.17:   0%|          | 0/13 [02:55<00:00, 13.53it/s]
Validation Results - Epoch: 139 Metrics: mse: 0.172, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.172
                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [02:55<00:00, 13.53it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [02:55<00:01,  7.01it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [02:56<00:00,  9.00it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [02:56<00:00, 10.95it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [02:56<00:00, 13.44it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:56<00:00, 13.44it/s]
                                                                       

Training Results - Epoch: 140 Metrics: mse: 0.172, avep: 0.923, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.336, loss: 0.172

ITERATION - loss: 0.19:   0%|          | 0/13 [02:56<00:00, 13.44it/s]
                                                                      

Validation Results - Epoch: 140 Metrics: mse: 0.173, avep: 0.920, top5: 0.950, frac_mc: 0.842, top1: 0.980, mae: 0.338, loss: 0.173

ITERATION - loss: 0.19:   0%|          | 0/13 [02:57<00:00, 13.44it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [02:57<00:01,  7.07it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:57<00:00,  9.16it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [02:57<00:00, 11.52it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [02:57<00:00, 13.56it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [02:57<00:00, 13.56it/s]
                                                                       

Training Results - Epoch: 141 Metrics: mse: 0.170, avep: 0.924, top5: 0.950, frac_mc: 0.850, top1: 0.988, mae: 0.327, loss: 0.170

ITERATION - loss: 0.20:   0%|          | 0/13 [02:58<00:00, 13.56it/s]
                                                                      

Validation Results - Epoch: 141 Metrics: mse: 0.172, avep: 0.920, top5: 0.950, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.172

ITERATION - loss: 0.20:   0%|          | 0/13 [02:58<00:00, 13.56it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [02:58<00:01,  7.21it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [02:58<00:00,  9.15it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [02:58<00:00, 11.34it/s]
ITERATION - loss: 0.15:  92%|█████████▏| 12/13 [02:58<00:00, 13.85it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [02:58<00:00, 13.85it/s]
                                                                       

Training Results - Epoch: 142 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.324, loss: 0.169

ITERATION - loss: 0.16:   0%|          | 0/13 [02:59<00:00, 13.85it/s]
                                                                      

Validation Results - Epoch: 142 Metrics: mse: 0.172, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.327, loss: 0.172

ITERATION - loss: 0.16:   0%|          | 0/13 [02:59<00:00, 13.85it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [02:59<00:01,  7.01it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [02:59<00:00,  9.10it/s]
ITERATION - loss: 0.15:  69%|██████▉   | 9/13 [02:59<00:00, 11.17it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [02:59<00:00, 13.59it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [02:59<00:00, 13.59it/s]
Training Results - Epoch: 143 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.169

                                                                       

ITERATION - loss: 0.15:   0%|          | 0/13 [03:00<00:00, 13.59it/s]
Validation Results - Epoch: 143 Metrics: mse: 0.171, avep: 0.921, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.171

                                                                      

ITERATION - loss: 0.15:   0%|          | 0/13 [03:00<00:00, 13.59it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [03:00<00:01,  6.72it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [03:01<00:00,  8.75it/s]
ITERATION - loss: 0.17:  77%|███████▋  | 10/13 [03:01<00:00, 10.86it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:01<00:00, 10.86it/s]
Training Results - Epoch: 144 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.169

                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [03:01<00:01, 10.86it/s]
Validation Results - Epoch: 144 Metrics: mse: 0.171, avep: 0.921, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.330, loss: 0.171

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [03:02<00:01, 10.86it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:02<00:01,  6.26it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:02<00:00,  8.20it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:02<00:00, 10.36it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:02<00:00, 12.35it/s]
ITERATION - loss: 0.13: 100%|██████████| 13/13 [03:02<00:00, 12.35it/s]
                                                                       

Training Results - Epoch: 145 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.332, loss: 0.169

ITERATION - loss: 0.13:   0%|          | 0/13 [03:03<00:01, 12.35it/s]
                                                                      

Validation Results - Epoch: 145 Metrics: mse: 0.172, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.334, loss: 0.172

ITERATION - loss: 0.13:   0%|          | 0/13 [03:03<00:01, 12.35it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:03<00:01,  6.97it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [03:03<00:00,  8.76it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:03<00:00, 11.08it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:03<00:00, 13.62it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:03<00:00, 13.62it/s]
                                                                       

Training Results - Epoch: 146 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.331, loss: 0.169

ITERATION - loss: 0.17:   0%|          | 0/13 [03:04<00:00, 13.62it/s]
Validation Results - Epoch: 146 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.333, loss: 0.171

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [03:04<00:00, 13.62it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [03:04<00:01,  6.92it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:04<00:00,  8.90it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:04<00:00, 11.04it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:04<00:00, 13.40it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:04<00:00, 13.40it/s]
                                                                       

Training Results - Epoch: 147 Metrics: mse: 0.170, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.323, loss: 0.170

ITERATION - loss: 0.16:   0%|          | 0/13 [03:05<00:00, 13.40it/s]
                                                                      

Validation Results - Epoch: 147 Metrics: mse: 0.173, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.326, loss: 0.173

ITERATION - loss: 0.16:   0%|          | 0/13 [03:05<00:00, 13.40it/s]
ITERATION - loss: 0.14:  23%|██▎       | 3/13 [03:05<00:01,  7.13it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [03:05<00:00,  9.22it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:06<00:00, 11.63it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:06<00:00, 13.54it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [03:06<00:00, 13.54it/s]
                                                                       

Training Results - Epoch: 148 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.326, loss: 0.169

ITERATION - loss: 0.19:   0%|          | 0/13 [03:06<00:00, 13.54it/s]
                                                                      

Validation Results - Epoch: 148 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.328, loss: 0.171

ITERATION - loss: 0.19:   0%|          | 0/13 [03:06<00:00, 13.54it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [03:07<00:01,  7.15it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [03:07<00:00,  9.00it/s]
ITERATION - loss: 0.15:  69%|██████▉   | 9/13 [03:07<00:00, 11.36it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:07<00:00, 13.80it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [03:07<00:00, 13.80it/s]
                                                                       

Training Results - Epoch: 149 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.169

ITERATION - loss: 0.18:   0%|          | 0/13 [03:08<00:00, 13.80it/s]
                                                                      

Validation Results - Epoch: 149 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.842, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.18:   0%|          | 0/13 [03:08<00:00, 13.80it/s]
ITERATION - loss: 0.14:  23%|██▎       | 3/13 [03:08<00:01,  6.88it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:08<00:00,  8.86it/s]
ITERATION - loss: 0.15:  69%|██████▉   | 9/13 [03:08<00:00, 10.72it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [03:08<00:00, 13.24it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [03:08<00:00, 13.24it/s]
                                                                       

Training Results - Epoch: 150 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.332, loss: 0.169

ITERATION - loss: 0.21:   0%|          | 0/13 [03:09<00:00, 13.24it/s]
                                                                      

Validation Results - Epoch: 150 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.334, loss: 0.171

ITERATION - loss: 0.21:   0%|          | 0/13 [03:09<00:00, 13.24it/s]
ITERATION - loss: 0.15:  23%|██▎       | 3/13 [03:09<00:01,  7.04it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:09<00:00,  8.94it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:09<00:00, 10.84it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:09<00:00, 13.22it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:10<00:00, 13.22it/s]
                                                                       

Training Results - Epoch: 151 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.169

ITERATION - loss: 0.17:   0%|          | 0/13 [03:10<00:00, 13.22it/s]
Validation Results - Epoch: 151 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.328, loss: 0.171

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [03:10<00:00, 13.22it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [03:10<00:01,  6.67it/s]
ITERATION - loss: 0.16:  54%|█████▍    | 7/13 [03:11<00:00,  8.72it/s]
ITERATION - loss: 0.17:  77%|███████▋  | 10/13 [03:11<00:00, 10.75it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [03:11<00:00, 10.75it/s]
                                                                       

Training Results - Epoch: 152 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.324, loss: 0.169

ITERATION - loss: 0.15:   0%|          | 0/13 [03:11<00:01, 10.75it/s]
                                                                      

Validation Results - Epoch: 152 Metrics: mse: 0.172, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.327, loss: 0.172

ITERATION - loss: 0.15:   0%|          | 0/13 [03:12<00:01, 10.75it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [03:12<00:01,  6.16it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:12<00:00,  7.99it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:12<00:00, 10.03it/s]
ITERATION - loss: 0.20:  92%|█████████▏| 12/13 [03:12<00:00, 12.15it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [03:12<00:00, 12.15it/s]
Training Results - Epoch: 153 Metrics: mse: 0.169, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.331, loss: 0.169
                                                                       

ITERATION - loss: 0.18:   0%|          | 0/13 [03:13<00:01, 12.15it/s]
                                                                      

Validation Results - Epoch: 153 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.333, loss: 0.171

ITERATION - loss: 0.18:   0%|          | 0/13 [03:13<00:01, 12.15it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [03:13<00:01,  6.85it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [03:13<00:00,  8.69it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:13<00:00, 10.89it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:13<00:00, 12.97it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [03:13<00:00, 12.97it/s]
                                                                       

Training Results - Epoch: 154 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.169

ITERATION - loss: 0.18:   0%|          | 0/13 [03:14<00:01, 12.97it/s]
                                                                      

Validation Results - Epoch: 154 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.328, loss: 0.171

ITERATION - loss: 0.18:   0%|          | 0/13 [03:14<00:01, 12.97it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:14<00:01,  6.76it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:14<00:00,  8.56it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [03:14<00:00, 10.80it/s]
ITERATION - loss: 0.15:  92%|█████████▏| 12/13 [03:15<00:00, 13.13it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [03:15<00:00, 13.13it/s]
                                                                       

Training Results - Epoch: 155 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.20:   0%|          | 0/13 [03:15<00:00, 13.13it/s]
                                                                      

Validation Results - Epoch: 155 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.329, loss: 0.171

ITERATION - loss: 0.20:   0%|          | 0/13 [03:15<00:00, 13.13it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:16<00:01,  6.82it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:16<00:00,  8.71it/s]
ITERATION - loss: 0.19:  69%|██████▉   | 9/13 [03:16<00:00, 10.75it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:16<00:00, 13.26it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:16<00:00, 13.26it/s]
                                                                       

Training Results - Epoch: 156 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.169

ITERATION - loss: 0.16:   0%|          | 0/13 [03:17<00:00, 13.26it/s]
                                                                      

Validation Results - Epoch: 156 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.327, loss: 0.171

ITERATION - loss: 0.16:   0%|          | 0/13 [03:17<00:00, 13.26it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:17<00:01,  6.91it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:17<00:00,  8.98it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:17<00:00, 11.26it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:17<00:00, 13.38it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [03:17<00:00, 13.38it/s]
                                                                       

ITERATION - loss: 0.18:   0%|          | 0/13 [03:18<00:00, 13.38it/s]
Training Results - Epoch: 157 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

                                                                      

Validation Results - Epoch: 157 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.18:   0%|          | 0/13 [03:18<00:00, 13.38it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:18<00:01,  6.88it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:18<00:00,  8.92it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:18<00:00, 11.25it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:18<00:00, 13.30it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:18<00:00, 13.30it/s]
                                                                       

ITERATION - loss: 0.16:   0%|          | 0/13 [03:19<00:00, 13.30it/s]
Training Results - Epoch: 158 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.324, loss: 0.169

Validation Results - Epoch: 158 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.843, top1: 0.980, mae: 0.327, loss: 0.171

                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [03:19<00:00, 13.30it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:19<00:01,  6.91it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:19<00:00,  8.75it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:20<00:00, 11.07it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:20<00:00, 13.54it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [03:20<00:00, 13.54it/s]
                                                                       

Training Results - Epoch: 159 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.328, loss: 0.168

ITERATION - loss: 0.15:   0%|          | 0/13 [03:20<00:00, 13.54it/s]
                                                                      

Validation Results - Epoch: 159 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.331, loss: 0.171

ITERATION - loss: 0.15:   0%|          | 0/13 [03:21<00:00, 13.54it/s]
ITERATION - loss: 0.15:  23%|██▎       | 3/13 [03:21<00:01,  6.65it/s]
ITERATION - loss: 0.20:  46%|████▌     | 6/13 [03:21<00:00,  8.47it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:21<00:00, 10.76it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:21<00:00, 12.72it/s]
ITERATION - loss: 0.15: 100%|██████████| 13/13 [03:21<00:00, 12.72it/s]
                                                                       

Training Results - Epoch: 160 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.328, loss: 0.168

ITERATION - loss: 0.15:   0%|          | 0/13 [03:22<00:01, 12.72it/s]
                                                                      
Validation Results - Epoch: 160 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171


ITERATION - loss: 0.15:   0%|          | 0/13 [03:22<00:01, 12.72it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:22<00:01,  6.97it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:22<00:00,  8.91it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:22<00:00, 11.22it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [03:22<00:00, 13.79it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:22<00:00, 13.79it/s]
                                                                       

Training Results - Epoch: 161 Metrics: mse: 0.170, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.336, loss: 0.170

ITERATION - loss: 0.17:   0%|          | 0/13 [03:23<00:00, 13.79it/s]
Validation Results - Epoch: 161 Metrics: mse: 0.172, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.338, loss: 0.172

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [03:23<00:00, 13.79it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [03:23<00:01,  7.00it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:23<00:00,  8.96it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:23<00:00, 10.92it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [03:24<00:00, 13.30it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:24<00:00, 13.30it/s]
Training Results - Epoch: 162 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.168

                                                                       

ITERATION - loss: 0.16:   0%|          | 0/13 [03:24<00:00, 13.30it/s]
Validation Results - Epoch: 162 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.328, loss: 0.171

                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [03:24<00:00, 13.30it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:24<00:01,  6.88it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:25<00:00,  8.93it/s]
ITERATION - loss: 0.15:  77%|███████▋  | 10/13 [03:25<00:00, 11.18it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [03:25<00:00, 11.18it/s]
                                                                       

Training Results - Epoch: 163 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.324, loss: 0.169

ITERATION - loss: 0.19:   0%|          | 0/13 [03:25<00:01, 11.18it/s]
                                                                      

Validation Results - Epoch: 163 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.327, loss: 0.171

ITERATION - loss: 0.19:   0%|          | 0/13 [03:26<00:01, 11.18it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [03:26<00:01,  6.11it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:26<00:00,  7.98it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:26<00:00, 10.11it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:26<00:00, 12.14it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:26<00:00, 12.14it/s]
                                                                       

Training Results - Epoch: 164 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.17:   0%|          | 0/13 [03:27<00:01, 12.14it/s]
                                                                      

Validation Results - Epoch: 164 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.329, loss: 0.171

ITERATION - loss: 0.17:   0%|          | 0/13 [03:27<00:01, 12.14it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:27<00:01,  6.77it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:27<00:00,  8.68it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:27<00:00, 10.82it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:27<00:00, 13.57it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:27<00:00, 13.57it/s]
                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [03:28<00:00, 13.57it/s]
Training Results - Epoch: 165 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

                                                                      

Validation Results - Epoch: 165 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.17:   0%|          | 0/13 [03:28<00:00, 13.57it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:28<00:01,  7.11it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:28<00:00,  8.99it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:28<00:00, 11.20it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:29<00:00, 13.74it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:29<00:00, 13.74it/s]
Training Results - Epoch: 166 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.850, top1: 0.988, mae: 0.329, loss: 0.168

                                                                       

ITERATION - loss: 0.16:   0%|          | 0/13 [03:29<00:00, 13.74it/s]
                                                                      

Validation Results - Epoch: 166 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.331, loss: 0.171

ITERATION - loss: 0.16:   0%|          | 0/13 [03:29<00:00, 13.74it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:29<00:01,  6.87it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:30<00:00,  8.88it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:30<00:00, 10.80it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:30<00:00, 13.29it/s]
ITERATION - loss: 0.14: 100%|██████████| 13/13 [03:30<00:00, 13.29it/s]
                                                                       

Training Results - Epoch: 167 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.168

ITERATION - loss: 0.14:   0%|          | 0/13 [03:30<00:00, 13.29it/s]
                                                                      

Validation Results - Epoch: 167 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.327, loss: 0.171

ITERATION - loss: 0.14:   0%|          | 0/13 [03:31<00:00, 13.29it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:31<00:01,  6.62it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:31<00:00,  8.63it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:31<00:00, 10.69it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:31<00:00, 13.19it/s]
ITERATION - loss: 0.18: 100%|██████████| 13/13 [03:31<00:00, 13.19it/s]
Training Results - Epoch: 168 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.334, loss: 0.169

                                                                       

ITERATION - loss: 0.18:   0%|          | 0/13 [03:32<00:00, 13.19it/s]
                                                                      

Validation Results - Epoch: 168 Metrics: mse: 0.172, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.337, loss: 0.172

ITERATION - loss: 0.18:   0%|          | 0/13 [03:32<00:00, 13.19it/s]
ITERATION - loss: 0.19:  23%|██▎       | 3/13 [03:32<00:01,  7.00it/s]
ITERATION - loss: 0.18:  54%|█████▍    | 7/13 [03:32<00:00,  9.10it/s]
ITERATION - loss: 0.16:  77%|███████▋  | 10/13 [03:32<00:00, 11.50it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:32<00:00, 14.08it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:32<00:00, 14.08it/s]
Training Results - Epoch: 169 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.326, loss: 0.168

                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [03:33<00:00, 14.08it/s]
                                                                      

Validation Results - Epoch: 169 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.328, loss: 0.171

ITERATION - loss: 0.17:   0%|          | 0/13 [03:33<00:00, 14.08it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:33<00:01,  7.51it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:33<00:00,  9.67it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:33<00:00, 11.69it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:34<00:00, 13.94it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [03:34<00:00, 13.94it/s]
                                                                       

Training Results - Epoch: 170 Metrics: mse: 0.168, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.331, loss: 0.168

ITERATION - loss: 0.21:   0%|          | 0/13 [03:34<00:00, 13.94it/s]
                                                                      
Validation Results - Epoch: 170 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.333, loss: 0.171

ITERATION - loss: 0.21:   0%|          | 0/13 [03:34<00:00, 13.94it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [03:34<00:01,  7.22it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:35<00:00,  9.17it/s]
ITERATION - loss: 0.15:  69%|██████▉   | 9/13 [03:35<00:00, 11.26it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:35<00:00, 13.81it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:35<00:00, 13.81it/s]
                                                                       

Training Results - Epoch: 171 Metrics: mse: 0.169, avep: 0.924, top5: 0.951, frac_mc: 0.850, top1: 0.988, mae: 0.322, loss: 0.169

ITERATION - loss: 0.17:   0%|          | 0/13 [03:35<00:00, 13.81it/s]
                                                                      
Validation Results - Epoch: 171 Metrics: mse: 0.172, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.325, loss: 0.172


ITERATION - loss: 0.17:   0%|          | 0/13 [03:36<00:00, 13.81it/s]
ITERATION - loss: 0.15:  23%|██▎       | 3/13 [03:36<00:01,  7.03it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:36<00:00,  9.00it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:36<00:00, 11.34it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:36<00:00, 13.45it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:36<00:00, 13.45it/s]
Training Results - Epoch: 172 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.328, loss: 0.168

                                                                       

ITERATION - loss: 0.17:   0%|          | 0/13 [03:37<00:00, 13.45it/s]
                                                                      

Validation Results - Epoch: 172 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.17:   0%|          | 0/13 [03:37<00:00, 13.45it/s]
ITERATION - loss: 0.18:  23%|██▎       | 3/13 [03:37<00:01,  7.06it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:37<00:00,  8.98it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:37<00:00, 11.25it/s]
ITERATION - loss: 0.19:  92%|█████████▏| 12/13 [03:37<00:00, 13.51it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:37<00:00, 13.51it/s]
                                                                       

Training Results - Epoch: 173 Metrics: mse: 0.168, avep: 0.924, top5: 0.951, frac_mc: 0.849, top1: 0.988, mae: 0.328, loss: 0.168

ITERATION - loss: 0.16:   0%|          | 0/13 [03:38<00:00, 13.51it/s]
                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [03:38<00:00, 13.51it/s]
Validation Results - Epoch: 173 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.331, loss: 0.171

ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:38<00:01,  6.97it/s]
ITERATION - loss: 0.19:  46%|████▌     | 6/13 [03:38<00:00,  8.95it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:38<00:00, 10.90it/s]
ITERATION - loss: 0.18:  92%|█████████▏| 12/13 [03:39<00:00, 13.13it/s]
ITERATION - loss: 0.17: 100%|██████████| 13/13 [03:39<00:00, 13.13it/s]
                                                                       

Training Results - Epoch: 174 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.17:   0%|          | 0/13 [03:39<00:00, 13.13it/s]
Validation Results - Epoch: 174 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

                                                                      

ITERATION - loss: 0.17:   0%|          | 0/13 [03:39<00:00, 13.13it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:40<00:01,  6.77it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:40<00:00,  8.78it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:40<00:00, 10.70it/s]
ITERATION - loss: 0.15:  92%|█████████▏| 12/13 [03:40<00:00, 13.14it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [03:40<00:00, 13.14it/s]
                                                                       

Training Results - Epoch: 175 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.20:   0%|          | 0/13 [03:41<00:00, 13.14it/s]
                                                                      

Validation Results - Epoch: 175 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.329, loss: 0.171

ITERATION - loss: 0.20:   0%|          | 0/13 [03:41<00:00, 13.14it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:41<00:01,  6.54it/s]
ITERATION - loss: 0.17:  46%|████▌     | 6/13 [03:41<00:00,  8.52it/s]
ITERATION - loss: 0.18:  69%|██████▉   | 9/13 [03:41<00:00, 10.49it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:41<00:00, 13.00it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [03:41<00:00, 13.00it/s]
                                                                       

Training Results - Epoch: 176 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.328, loss: 0.168

ITERATION - loss: 0.19:   0%|          | 0/13 [03:42<00:00, 13.00it/s]
                                                                      

Validation Results - Epoch: 176 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.19:   0%|          | 0/13 [03:42<00:00, 13.00it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:42<00:01,  6.93it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:42<00:00,  8.86it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:42<00:00, 10.65it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:43<00:00, 12.99it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:43<00:00, 12.99it/s]
                                                                       

Training Results - Epoch: 177 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.328, loss: 0.168

ITERATION - loss: 0.16:   0%|          | 0/13 [03:43<00:01, 12.99it/s]
                                                                      

ITERATION - loss: 0.16:   0%|          | 0/13 [03:43<00:01, 12.99it/s]
Validation Results - Epoch: 177 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:43<00:01,  7.15it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:43<00:00,  9.07it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:44<00:00, 11.42it/s]
ITERATION - loss: 0.17:  92%|█████████▏| 12/13 [03:44<00:00, 13.10it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:44<00:00, 13.10it/s]
Training Results - Epoch: 178 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.325, loss: 0.168
                                                                       


ITERATION - loss: 0.16:   0%|          | 0/13 [03:44<00:00, 13.10it/s]
                                                                      

Validation Results - Epoch: 178 Metrics: mse: 0.171, avep: 0.920, top5: 0.948, frac_mc: 0.844, top1: 0.980, mae: 0.328, loss: 0.171

ITERATION - loss: 0.16:   0%|          | 0/13 [03:45<00:00, 13.10it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:45<00:01,  6.97it/s]
ITERATION - loss: 0.16:  46%|████▌     | 6/13 [03:45<00:00,  8.81it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:45<00:00, 10.90it/s]
ITERATION - loss: 0.17:  85%|████████▍ | 11/13 [03:45<00:00, 12.36it/s]
ITERATION - loss: 0.20: 100%|██████████| 13/13 [03:45<00:00, 12.36it/s]
                                                                       

Training Results - Epoch: 179 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.20:   0%|          | 0/13 [03:46<00:01, 12.36it/s]
Validation Results - Epoch: 179 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.329, loss: 0.171

                                                                      

ITERATION - loss: 0.20:   0%|          | 0/13 [03:46<00:01, 12.36it/s]
ITERATION - loss: 0.17:  15%|█▌        | 2/13 [03:46<00:02,  5.10it/s]
ITERATION - loss: 0.16:  38%|███▊      | 5/13 [03:46<00:01,  6.64it/s]
ITERATION - loss: 0.19:  62%|██████▏   | 8/13 [03:46<00:00,  8.65it/s]
ITERATION - loss: 0.18:  85%|████████▍ | 11/13 [03:46<00:00, 10.97it/s]
ITERATION - loss: 0.14: 100%|██████████| 13/13 [03:46<00:00, 10.97it/s]
                                                                       

Training Results - Epoch: 180 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.14:   0%|          | 0/13 [03:47<00:01, 10.97it/s]
                                                                      

Validation Results - Epoch: 180 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.14:   0%|          | 0/13 [03:47<00:01, 10.97it/s]
ITERATION - loss: 0.16:  23%|██▎       | 3/13 [03:47<00:01,  6.18it/s]
ITERATION - loss: 0.18:  46%|████▌     | 6/13 [03:47<00:00,  8.05it/s]
ITERATION - loss: 0.17:  69%|██████▉   | 9/13 [03:47<00:00, 10.09it/s]
ITERATION - loss: 0.15:  92%|█████████▏| 12/13 [03:48<00:00, 12.17it/s]
ITERATION - loss: 0.16: 100%|██████████| 13/13 [03:48<00:00, 12.17it/s]
                                                                       

Training Results - Epoch: 181 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.16:   0%|          | 0/13 [03:48<00:01, 12.17it/s]
                                                                      

Validation Results - Epoch: 181 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.329, loss: 0.171

ITERATION - loss: 0.16:   0%|          | 0/13 [03:48<00:01, 12.17it/s]
ITERATION - loss: 0.17:  23%|██▎       | 3/13 [03:49<00:01,  6.78it/s]
ITERATION - loss: 0.15:  46%|████▌     | 6/13 [03:49<00:00,  8.80it/s]
ITERATION - loss: 0.16:  69%|██████▉   | 9/13 [03:49<00:00, 10.94it/s]
ITERATION - loss: 0.16:  92%|█████████▏| 12/13 [03:49<00:00, 13.47it/s]
ITERATION - loss: 0.14: 100%|██████████| 13/13 [03:49<00:00, 13.47it/s]
                                                                       

Training Results - Epoch: 182 Metrics: mse: 0.168, avep: 0.924, top5: 0.952, frac_mc: 0.849, top1: 0.988, mae: 0.327, loss: 0.168

ITERATION - loss: 0.14:   0%|          | 0/13 [03:49<00:00, 13.47it/s]
                                                                      

Validation Results - Epoch: 182 Metrics: mse: 0.171, avep: 0.920, top5: 0.950, frac_mc: 0.844, top1: 0.980, mae: 0.330, loss: 0.171

ITERATION - loss: 0.14:   0%|          | 0/13 [03:50<00:00, 13.47it/s]
                                                                      
mse: 0.171
avep: 0.920
top5: 0.950
frac_mc: 0.844
top1: 0.980
mae: 0.330
loss: 0.171
