
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: 144.691, avep: 0.660, top5: 0.391, frac_mc: 0.727, top1: 0.180, mae: 11.960, loss: 144.691

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

Validation Results - Epoch: 0 Metrics: mse: 140.389, avep: 0.657, top5: 0.394, frac_mc: 0.730, top1: 0.120, mae: 11.779, loss: 140.389

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 146.97:   8%|▊         | 1/13 [00:01<00:12,  1.07s/it]
ITERATION - loss: 87.18:  23%|██▎       | 3/13 [00:01<00:07,  1.30it/s] 
ITERATION - loss: 29.20:  38%|███▊      | 5/13 [00:01<00:04,  1.79it/s]
ITERATION - loss: 0.98:  54%|█████▍    | 7/13 [00:01<00:02,  2.41it/s] 
ITERATION - loss: 15.95:  69%|██████▉   | 9/13 [00:01<00:01,  3.23it/s]
ITERATION - loss: 10.50:  85%|████████▍ | 11/13 [00:01<00:00,  4.16it/s]
ITERATION - loss: 1.51: 100%|██████████| 13/13 [00:01<00:00,  5.40it/s] 
ITERATION - loss: 1.51: 100%|██████████| 13/13 [00:01<00:00,  5.40it/s]
                                                                       

Training Results - Epoch: 1 Metrics: mse: 1.289, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.910, loss: 1.289

ITERATION - loss: 1.51:   0%|          | 0/13 [00:02<00:02,  5.40it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: mse: 1.198, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.868, loss: 1.198

ITERATION - loss: 1.51:   0%|          | 0/13 [00:02<00:02,  5.40it/s]
ITERATION - loss: 3.57:  15%|█▌        | 2/13 [00:03<00:03,  3.34it/s]
ITERATION - loss: 6.38:  23%|██▎       | 3/13 [00:03<00:02,  4.16it/s]
ITERATION - loss: 7.06:  38%|███▊      | 5/13 [00:03<00:01,  5.31it/s]
ITERATION - loss: 3.33:  54%|█████▍    | 7/13 [00:03<00:00,  6.49it/s]
ITERATION - loss: 1.05:  69%|██████▉   | 9/13 [00:03<00:00,  7.66it/s]
ITERATION - loss: 2.02:  85%|████████▍ | 11/13 [00:03<00:00,  8.85it/s]
ITERATION - loss: 2.30: 100%|██████████| 13/13 [00:03<00:00, 10.31it/s]
ITERATION - loss: 2.30: 100%|██████████| 13/13 [00:03<00:00, 10.31it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 2.608, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 1.386, loss: 2.608

ITERATION - loss: 2.30:   0%|          | 0/13 [00:04<00:01, 10.31it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 2.956, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 1.489, loss: 2.956

ITERATION - loss: 2.30:   0%|          | 0/13 [00:04<00:01, 10.31it/s]
ITERATION - loss: 1.79:  15%|█▌        | 2/13 [00:04<00:02,  4.33it/s]
ITERATION - loss: 1.18:  31%|███       | 4/13 [00:05<00:01,  5.37it/s]
ITERATION - loss: 0.91:  46%|████▌     | 6/13 [00:05<00:01,  6.66it/s]
ITERATION - loss: 1.64:  62%|██████▏   | 8/13 [00:05<00:00,  7.91it/s]
ITERATION - loss: 1.50:  77%|███████▋  | 10/13 [00:05<00:00,  8.84it/s]
ITERATION - loss: 1.52:  92%|█████████▏| 12/13 [00:05<00:00,  9.95it/s]
ITERATION - loss: 0.99: 100%|██████████| 13/13 [00:05<00:00,  9.95it/s]
                                                                       

Training Results - Epoch: 3 Metrics: mse: 0.869, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.751, loss: 0.869

ITERATION - loss: 0.99:   0%|          | 0/13 [00:06<00:01,  9.95it/s]
                                                                      
Validation Results - Epoch: 3 Metrics: mse: 0.949, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.778, loss: 0.949


ITERATION - loss: 0.99:   0%|          | 0/13 [00:06<00:01,  9.95it/s]
ITERATION - loss: 1.04:  15%|█▌        | 2/13 [00:06<00:02,  4.11it/s]
ITERATION - loss: 1.08:  31%|███       | 4/13 [00:06<00:01,  5.29it/s]
ITERATION - loss: 1.25:  46%|████▌     | 6/13 [00:07<00:01,  6.55it/s]
ITERATION - loss: 0.69:  62%|██████▏   | 8/13 [00:07<00:00,  7.71it/s]
ITERATION - loss: 0.95:  77%|███████▋  | 10/13 [00:07<00:00,  8.90it/s]
ITERATION - loss: 1.05:  92%|█████████▏| 12/13 [00:07<00:00,  9.56it/s]
ITERATION - loss: 1.03: 100%|██████████| 13/13 [00:07<00:00,  9.56it/s]
                                                                       

ITERATION - loss: 1.03:   0%|          | 0/13 [00:08<00:01,  9.56it/s]
Training Results - Epoch: 4 Metrics: mse: 0.962, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.782, loss: 0.962

Validation Results - Epoch: 4 Metrics: mse: 0.953, avep: 0.985, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.774, loss: 0.953

                                                                      

ITERATION - loss: 1.03:   0%|          | 0/13 [00:08<00:01,  9.56it/s]
ITERATION - loss: 1.21:  15%|█▌        | 2/13 [00:08<00:02,  4.06it/s]
ITERATION - loss: 0.90:  31%|███       | 4/13 [00:08<00:01,  5.09it/s]
ITERATION - loss: 0.91:  46%|████▌     | 6/13 [00:09<00:01,  6.32it/s]
ITERATION - loss: 0.99:  62%|██████▏   | 8/13 [00:09<00:00,  7.45it/s]
ITERATION - loss: 0.76:  77%|███████▋  | 10/13 [00:09<00:00,  8.75it/s]
ITERATION - loss: 0.97:  92%|█████████▏| 12/13 [00:09<00:00,  9.86it/s]
ITERATION - loss: 0.65: 100%|██████████| 13/13 [00:09<00:00,  9.86it/s]
                                                                       

Training Results - Epoch: 5 Metrics: mse: 0.864, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.748, loss: 0.864

ITERATION - loss: 0.65:   0%|          | 0/13 [00:10<00:01,  9.86it/s]
                                                                      

Validation Results - Epoch: 5 Metrics: mse: 0.930, avep: 0.986, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.770, loss: 0.930

ITERATION - loss: 0.65:   0%|          | 0/13 [00:10<00:01,  9.86it/s]
ITERATION - loss: 0.80:  15%|█▌        | 2/13 [00:10<00:02,  4.04it/s]
ITERATION - loss: 0.83:  31%|███       | 4/13 [00:10<00:01,  5.18it/s]
ITERATION - loss: 0.69:  46%|████▌     | 6/13 [00:10<00:01,  6.29it/s]
ITERATION - loss: 0.75:  62%|██████▏   | 8/13 [00:11<00:00,  7.44it/s]
ITERATION - loss: 0.87:  77%|███████▋  | 10/13 [00:11<00:00,  8.36it/s]
ITERATION - loss: 0.83:  92%|█████████▏| 12/13 [00:11<00:00,  9.50it/s]
ITERATION - loss: 0.72: 100%|██████████| 13/13 [00:11<00:00,  9.50it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 0.875, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.750, loss: 0.875

ITERATION - loss: 0.72:   0%|          | 0/13 [00:12<00:01,  9.50it/s]
                                                                      

Validation Results - Epoch: 6 Metrics: mse: 0.915, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.763, loss: 0.915

ITERATION - loss: 0.72:   0%|          | 0/13 [00:12<00:01,  9.50it/s]
ITERATION - loss: 0.80:  15%|█▌        | 2/13 [00:12<00:02,  3.94it/s]
ITERATION - loss: 0.83:  31%|███       | 4/13 [00:12<00:01,  5.04it/s]
ITERATION - loss: 0.91:  46%|████▌     | 6/13 [00:12<00:01,  6.04it/s]
ITERATION - loss: 1.17:  62%|██████▏   | 8/13 [00:13<00:00,  7.28it/s]
ITERATION - loss: 0.82:  77%|███████▋  | 10/13 [00:13<00:00,  8.46it/s]
ITERATION - loss: 0.93:  92%|█████████▏| 12/13 [00:13<00:00,  9.98it/s]
ITERATION - loss: 0.60: 100%|██████████| 13/13 [00:13<00:00,  9.98it/s]
                                                                       

Training Results - Epoch: 7 Metrics: mse: 0.864, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.748, loss: 0.864

ITERATION - loss: 0.60:   0%|          | 0/13 [00:14<00:01,  9.98it/s]
                                                                      

Validation Results - Epoch: 7 Metrics: mse: 0.929, avep: 0.985, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.770, loss: 0.929

ITERATION - loss: 0.60:   0%|          | 0/13 [00:14<00:01,  9.98it/s]
ITERATION - loss: 0.67:  15%|█▌        | 2/13 [00:14<00:02,  4.06it/s]
ITERATION - loss: 0.96:  31%|███       | 4/13 [00:14<00:01,  5.15it/s]
ITERATION - loss: 0.82:  46%|████▌     | 6/13 [00:14<00:01,  6.39it/s]
ITERATION - loss: 0.92:  62%|██████▏   | 8/13 [00:14<00:00,  7.65it/s]
ITERATION - loss: 0.83:  77%|███████▋  | 10/13 [00:15<00:00,  9.06it/s]
ITERATION - loss: 0.75:  92%|█████████▏| 12/13 [00:15<00:00, 10.23it/s]
ITERATION - loss: 0.83: 100%|██████████| 13/13 [00:15<00:00, 10.23it/s]
                                                                       

Training Results - Epoch: 8 Metrics: mse: 0.977, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.788, loss: 0.977

ITERATION - loss: 0.83:   0%|          | 0/13 [00:15<00:01, 10.23it/s]
                                                                      

Validation Results - Epoch: 8 Metrics: mse: 0.962, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.778, loss: 0.962

ITERATION - loss: 0.83:   0%|          | 0/13 [00:16<00:01, 10.23it/s]
ITERATION - loss: 1.13:  15%|█▌        | 2/13 [00:16<00:02,  4.21it/s]
ITERATION - loss: 0.94:  31%|███       | 4/13 [00:16<00:01,  5.33it/s]
ITERATION - loss: 0.85:  46%|████▌     | 6/13 [00:16<00:01,  6.59it/s]
ITERATION - loss: 0.67:  62%|██████▏   | 8/13 [00:16<00:00,  8.06it/s]
ITERATION - loss: 0.78:  77%|███████▋  | 10/13 [00:16<00:00,  9.05it/s]
ITERATION - loss: 0.88:  92%|█████████▏| 12/13 [00:16<00:00, 10.15it/s]
ITERATION - loss: 1.27: 100%|██████████| 13/13 [00:17<00:00, 10.15it/s]
                                                                       

Training Results - Epoch: 9 Metrics: mse: 0.874, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.750, loss: 0.874

ITERATION - loss: 1.27:   0%|          | 0/13 [00:17<00:01, 10.15it/s]
                                                                      

Validation Results - Epoch: 9 Metrics: mse: 0.915, avep: 0.985, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.763, loss: 0.915

ITERATION - loss: 1.27:   0%|          | 0/13 [00:18<00:01, 10.15it/s]
ITERATION - loss: 0.73:  15%|█▌        | 2/13 [00:18<00:02,  4.05it/s]
ITERATION - loss: 0.62:  31%|███       | 4/13 [00:18<00:01,  5.14it/s]
ITERATION - loss: 0.91:  46%|████▌     | 6/13 [00:18<00:01,  6.35it/s]
ITERATION - loss: 0.93:  62%|██████▏   | 8/13 [00:18<00:00,  7.77it/s]
ITERATION - loss: 1.03:  77%|███████▋  | 10/13 [00:18<00:00,  9.12it/s]
ITERATION - loss: 1.15:  92%|█████████▏| 12/13 [00:18<00:00, 10.09it/s]
ITERATION - loss: 0.67: 100%|██████████| 13/13 [00:18<00:00, 10.09it/s]
                                                                       

Training Results - Epoch: 10 Metrics: mse: 0.864, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.747, loss: 0.864

ITERATION - loss: 0.67:   0%|          | 0/13 [00:19<00:01, 10.09it/s]
                                                                      

Validation Results - Epoch: 10 Metrics: mse: 0.928, avep: 0.985, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.769, loss: 0.928

ITERATION - loss: 0.67:   0%|          | 0/13 [00:19<00:01, 10.09it/s]
ITERATION - loss: 1.27:  15%|█▌        | 2/13 [00:20<00:02,  4.11it/s]
ITERATION - loss: 0.78:  31%|███       | 4/13 [00:20<00:01,  5.16it/s]
ITERATION - loss: 0.93:  46%|████▌     | 6/13 [00:20<00:01,  6.36it/s]
ITERATION - loss: 1.10:  62%|██████▏   | 8/13 [00:20<00:00,  7.76it/s]
ITERATION - loss: 0.94:  77%|███████▋  | 10/13 [00:20<00:00,  8.83it/s]
ITERATION - loss: 0.69:  92%|█████████▏| 12/13 [00:20<00:00,  9.94it/s]
ITERATION - loss: 0.66: 100%|██████████| 13/13 [00:20<00:00,  9.94it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 0.866, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.748, loss: 0.866

ITERATION - loss: 0.66:   0%|          | 0/13 [00:21<00:01,  9.94it/s]
                                                                      

Validation Results - Epoch: 11 Metrics: mse: 0.938, avep: 0.985, top5: 1.000, frac_mc: 0.935, top1: 1.000, mae: 0.773, loss: 0.938

ITERATION - loss: 0.66:   0%|          | 0/13 [00:21<00:01,  9.94it/s]
ITERATION - loss: 0.90:  15%|█▌        | 2/13 [00:21<00:02,  4.15it/s]
ITERATION - loss: 0.72:  31%|███       | 4/13 [00:22<00:01,  5.33it/s]
ITERATION - loss: 0.86:  46%|████▌     | 6/13 [00:22<00:01,  6.55it/s]
ITERATION - loss: 0.80:  62%|██████▏   | 8/13 [00:22<00:00,  7.83it/s]
ITERATION - loss: 0.68:  77%|███████▋  | 10/13 [00:22<00:00,  9.07it/s]
ITERATION - loss: 0.87:  92%|█████████▏| 12/13 [00:22<00:00,  9.85it/s]
ITERATION - loss: 1.17: 100%|██████████| 13/13 [00:22<00:00,  9.85it/s]
                                                                       

Training Results - Epoch: 12 Metrics: mse: 0.883, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.758, loss: 0.883

ITERATION - loss: 1.17:   0%|          | 0/13 [00:23<00:01,  9.85it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 0.978, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.790, loss: 0.978

ITERATION - loss: 1.17:   0%|          | 0/13 [00:23<00:01,  9.85it/s]
ITERATION - loss: 0.77:  15%|█▌        | 2/13 [00:23<00:02,  4.10it/s]
ITERATION - loss: 0.94:  23%|██▎       | 3/13 [00:23<00:02,  4.91it/s]
ITERATION - loss: 0.81:  38%|███▊      | 5/13 [00:23<00:01,  6.15it/s]
ITERATION - loss: 0.93:  54%|█████▍    | 7/13 [00:24<00:00,  7.46it/s]
ITERATION - loss: 1.17:  69%|██████▉   | 9/13 [00:24<00:00,  8.57it/s]
ITERATION - loss: 0.72:  85%|████████▍ | 11/13 [00:24<00:00,  9.79it/s]
ITERATION - loss: 0.95: 100%|██████████| 13/13 [00:24<00:00, 11.45it/s]
ITERATION - loss: 0.95: 100%|██████████| 13/13 [00:24<00:00, 11.45it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 0.871, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.749, loss: 0.871

ITERATION - loss: 0.95:   0%|          | 0/13 [00:25<00:01, 11.45it/s]
                                                                      

Validation Results - Epoch: 13 Metrics: mse: 0.916, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.764, loss: 0.916

ITERATION - loss: 0.95:   0%|          | 0/13 [00:25<00:01, 11.45it/s]
ITERATION - loss: 0.77:  15%|█▌        | 2/13 [00:25<00:02,  4.37it/s]
ITERATION - loss: 0.78:  31%|███       | 4/13 [00:25<00:01,  5.60it/s]
ITERATION - loss: 0.99:  46%|████▌     | 6/13 [00:25<00:01,  6.75it/s]
ITERATION - loss: 1.01:  62%|██████▏   | 8/13 [00:26<00:00,  8.01it/s]
ITERATION - loss: 0.80:  77%|███████▋  | 10/13 [00:26<00:00,  8.98it/s]
ITERATION - loss: 0.93:  92%|█████████▏| 12/13 [00:26<00:00, 10.22it/s]
ITERATION - loss: 0.93: 100%|██████████| 13/13 [00:26<00:00, 10.22it/s]
                                                                       

ITERATION - loss: 0.93:   0%|          | 0/13 [00:27<00:01, 10.22it/s]
Training Results - Epoch: 14 Metrics: mse: 0.865, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.748, loss: 0.865

                                                                      

Validation Results - Epoch: 14 Metrics: mse: 0.935, avep: 0.986, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.772, loss: 0.935

ITERATION - loss: 0.93:   0%|          | 0/13 [00:27<00:01, 10.22it/s]
ITERATION - loss: 0.76:  15%|█▌        | 2/13 [00:27<00:02,  4.07it/s]
ITERATION - loss: 0.64:  31%|███       | 4/13 [00:27<00:01,  5.20it/s]
ITERATION - loss: 0.75:  46%|████▌     | 6/13 [00:27<00:01,  6.29it/s]
ITERATION - loss: 1.28:  62%|██████▏   | 8/13 [00:27<00:00,  7.60it/s]
ITERATION - loss: 1.01:  77%|███████▋  | 10/13 [00:28<00:00,  8.79it/s]
ITERATION - loss: 0.77:  92%|█████████▏| 12/13 [00:28<00:00,  9.86it/s]
ITERATION - loss: 0.90: 100%|██████████| 13/13 [00:28<00:00,  9.86it/s]
                                                                       

Training Results - Epoch: 15 Metrics: mse: 0.864, avep: 0.984, top5: 1.000, frac_mc: 0.932, top1: 1.000, mae: 0.748, loss: 0.864

ITERATION - loss: 0.90:   0%|          | 0/13 [00:29<00:01,  9.86it/s]
                                                                      

Validation Results - Epoch: 15 Metrics: mse: 0.932, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.771, loss: 0.932

ITERATION - loss: 0.90:   0%|          | 0/13 [00:29<00:01,  9.86it/s]
ITERATION - loss: 0.90:  15%|█▌        | 2/13 [00:29<00:02,  3.99it/s]
ITERATION - loss: 0.89:  31%|███       | 4/13 [00:29<00:01,  5.13it/s]
ITERATION - loss: 0.82:  46%|████▌     | 6/13 [00:29<00:01,  6.39it/s]
ITERATION - loss: 0.85:  62%|██████▏   | 8/13 [00:29<00:00,  7.44it/s]
ITERATION - loss: 0.99:  77%|███████▋  | 10/13 [00:30<00:00,  8.56it/s]
ITERATION - loss: 0.98:  92%|█████████▏| 12/13 [00:30<00:00,  9.46it/s]
ITERATION - loss: 0.89: 100%|██████████| 13/13 [00:30<00:00,  9.46it/s]
                                                                       

Training Results - Epoch: 16 Metrics: mse: 0.864, avep: 0.984, top5: 1.000, frac_mc: 0.933, top1: 1.000, mae: 0.747, loss: 0.864

ITERATION - loss: 0.89:   0%|          | 0/13 [00:30<00:01,  9.46it/s]
                                                                      

Validation Results - Epoch: 16 Metrics: mse: 0.924, avep: 0.985, top5: 1.000, frac_mc: 0.936, top1: 1.000, mae: 0.768, loss: 0.924

ITERATION - loss: 0.89:   0%|          | 0/13 [00:31<00:01,  9.46it/s]
                                                                      
mse: 0.924
avep: 0.985
top5: 1.000
frac_mc: 0.936
top1: 1.000
mae: 0.768
loss: 0.924
