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

Training Results - Epoch: 0 Metrics: mse: 23.207, avep: 0.436, top5: 0.194, frac_mc: 0.358, top1: 0.120, mae: 4.760, loss: 23.207

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

Validation Results - Epoch: 0 Metrics: mse: 23.646, avep: 0.395, top5: 0.164, frac_mc: 0.292, top1: 0.050, mae: 4.802, loss: 23.646

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 22.06:   8%|▊         | 1/13 [00:00<00:09,  1.27it/s]
ITERATION - loss: 5.95:  38%|███▊      | 5/13 [00:00<00:04,  1.78it/s] 
ITERATION - loss: 2.44:  62%|██████▏   | 8/13 [00:01<00:02,  2.47it/s]
ITERATION - loss: 1.72:  92%|█████████▏| 12/13 [00:01<00:00,  3.43it/s]
ITERATION - loss: 0.86: 100%|██████████| 13/13 [00:01<00:00,  3.43it/s]
                                                                       

Training Results - Epoch: 1 Metrics: mse: 1.065, avep: 0.872, top5: 0.871, frac_mc: 0.789, top1: 0.950, mae: 0.846, loss: 1.065

ITERATION - loss: 0.86:   0%|          | 0/13 [00:01<00:03,  3.43it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: mse: 1.056, avep: 0.864, top5: 0.864, frac_mc: 0.772, top1: 0.950, mae: 0.842, loss: 1.056

ITERATION - loss: 0.86:   0%|          | 0/13 [00:01<00:03,  3.43it/s]
ITERATION - loss: 1.79:  23%|██▎       | 3/13 [00:01<00:02,  3.44it/s]
ITERATION - loss: 1.44:  46%|████▌     | 6/13 [00:02<00:01,  4.68it/s]
ITERATION - loss: 1.20:  77%|███████▋  | 10/13 [00:02<00:00,  6.31it/s]
ITERATION - loss: 1.37: 100%|██████████| 13/13 [00:02<00:00,  6.31it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 1.096, avep: 0.872, top5: 0.871, frac_mc: 0.788, top1: 0.950, mae: 0.827, loss: 1.096

ITERATION - loss: 1.37:   0%|          | 0/13 [00:02<00:02,  6.31it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 1.084, avep: 0.864, top5: 0.864, frac_mc: 0.772, top1: 0.950, mae: 0.824, loss: 1.084

ITERATION - loss: 1.37:   0%|          | 0/13 [00:03<00:02,  6.31it/s]
ITERATION - loss: 1.01:  23%|██▎       | 3/13 [00:03<00:02,  4.80it/s]
ITERATION - loss: 1.08:  54%|█████▍    | 7/13 [00:03<00:00,  6.38it/s]
ITERATION - loss: 0.84:  85%|████████▍ | 11/13 [00:03<00:00,  8.40it/s]
ITERATION - loss: 1.08: 100%|██████████| 13/13 [00:03<00:00,  8.40it/s]
                                                                       

ITERATION - loss: 1.08:   0%|          | 0/13 [00:04<00:01,  8.40it/s]
Training Results - Epoch: 3 Metrics: mse: 1.050, avep: 0.872, top5: 0.871, frac_mc: 0.789, top1: 0.950, mae: 0.812, loss: 1.050

                                                                      

ITERATION - loss: 1.08:   0%|          | 0/13 [00:04<00:01,  8.40it/s]
Validation Results - Epoch: 3 Metrics: mse: 1.039, avep: 0.864, top5: 0.864, frac_mc: 0.772, top1: 0.950, mae: 0.809, loss: 1.039

ITERATION - loss: 0.90:  23%|██▎       | 3/13 [00:04<00:01,  5.69it/s]
ITERATION - loss: 1.04:  54%|█████▍    | 7/13 [00:04<00:00,  7.57it/s]
ITERATION - loss: 1.04:  85%|████████▍ | 11/13 [00:04<00:00,  9.87it/s]
ITERATION - loss: 0.81: 100%|██████████| 13/13 [00:04<00:00,  9.87it/s]
                                                                       

ITERATION - loss: 0.81:   0%|          | 0/13 [00:05<00:01,  9.87it/s]
Training Results - Epoch: 4 Metrics: mse: 0.951, avep: 0.872, top5: 0.871, frac_mc: 0.789, top1: 0.948, mae: 0.790, loss: 0.951

                                                                      

Validation Results - Epoch: 4 Metrics: mse: 0.943, avep: 0.864, top5: 0.864, frac_mc: 0.772, top1: 0.950, mae: 0.785, loss: 0.943

ITERATION - loss: 0.81:   0%|          | 0/13 [00:05<00:01,  9.87it/s]
ITERATION - loss: 1.14:  23%|██▎       | 3/13 [00:05<00:01,  6.07it/s]
ITERATION - loss: 0.90:  46%|████▌     | 6/13 [00:05<00:00,  7.84it/s]
ITERATION - loss: 0.86:  77%|███████▋  | 10/13 [00:05<00:00, 10.15it/s]
ITERATION - loss: 0.90: 100%|██████████| 13/13 [00:05<00:00, 10.15it/s]
Training Results - Epoch: 5 Metrics: mse: 0.913, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.948, mae: 0.773, loss: 0.913

                                                                       

ITERATION - loss: 0.90:   0%|          | 0/13 [00:06<00:01, 10.15it/s]
                                                                      

Validation Results - Epoch: 5 Metrics: mse: 0.907, avep: 0.864, top5: 0.864, frac_mc: 0.772, top1: 0.950, mae: 0.769, loss: 0.907

ITERATION - loss: 0.90:   0%|          | 0/13 [00:06<00:01, 10.15it/s]
ITERATION - loss: 0.99:  23%|██▎       | 3/13 [00:06<00:01,  6.14it/s]
ITERATION - loss: 0.84:  54%|█████▍    | 7/13 [00:06<00:00,  8.15it/s]
ITERATION - loss: 1.03:  77%|███████▋  | 10/13 [00:06<00:00, 10.33it/s]
ITERATION - loss: 1.34: 100%|██████████| 13/13 [00:07<00:00, 10.33it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 0.898, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.948, mae: 0.770, loss: 0.898

ITERATION - loss: 1.34:   0%|          | 0/13 [00:07<00:01, 10.33it/s]
Validation Results - Epoch: 6 Metrics: mse: 0.896, avep: 0.863, top5: 0.864, frac_mc: 0.770, top1: 0.950, mae: 0.768, loss: 0.896

                                                                      

ITERATION - loss: 1.34:   0%|          | 0/13 [00:07<00:01, 10.33it/s]
ITERATION - loss: 0.95:  23%|██▎       | 3/13 [00:07<00:01,  6.23it/s]
ITERATION - loss: 0.89:  46%|████▌     | 6/13 [00:08<00:00,  8.07it/s]
ITERATION - loss: 1.11:  69%|██████▉   | 9/13 [00:08<00:00, 10.32it/s]
ITERATION - loss: 0.75:  92%|█████████▏| 12/13 [00:08<00:00, 12.72it/s]
ITERATION - loss: 0.97: 100%|██████████| 13/13 [00:08<00:00, 12.72it/s]
                                                                       

Training Results - Epoch: 7 Metrics: mse: 0.942, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.948, mae: 0.794, loss: 0.942

ITERATION - loss: 0.97:   0%|          | 0/13 [00:08<00:01, 12.72it/s]
                                                                      

Validation Results - Epoch: 7 Metrics: mse: 0.945, avep: 0.864, top5: 0.864, frac_mc: 0.769, top1: 0.950, mae: 0.796, loss: 0.945

ITERATION - loss: 0.97:   0%|          | 0/13 [00:09<00:01, 12.72it/s]
ITERATION - loss: 0.96:  23%|██▎       | 3/13 [00:09<00:01,  6.81it/s]
ITERATION - loss: 0.86:  54%|█████▍    | 7/13 [00:09<00:00,  8.81it/s]
ITERATION - loss: 0.79:  85%|████████▍ | 11/13 [00:09<00:00, 11.24it/s]
ITERATION - loss: 0.72: 100%|██████████| 13/13 [00:09<00:00, 11.24it/s]
                                                                       

Training Results - Epoch: 8 Metrics: mse: 0.834, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.950, mae: 0.736, loss: 0.834

ITERATION - loss: 0.72:   0%|          | 0/13 [00:10<00:01, 11.24it/s]
                                                                      

Validation Results - Epoch: 8 Metrics: mse: 0.833, avep: 0.864, top5: 0.862, frac_mc: 0.771, top1: 0.950, mae: 0.734, loss: 0.833

ITERATION - loss: 0.72:   0%|          | 0/13 [00:10<00:01, 11.24it/s]
ITERATION - loss: 0.73:  23%|██▎       | 3/13 [00:10<00:01,  6.55it/s]
ITERATION - loss: 0.72:  54%|█████▍    | 7/13 [00:10<00:00,  8.62it/s]
ITERATION - loss: 0.78:  85%|████████▍ | 11/13 [00:10<00:00, 11.06it/s]
ITERATION - loss: 0.95: 100%|██████████| 13/13 [00:10<00:00, 11.06it/s]
Training Results - Epoch: 9 Metrics: mse: 0.807, avep: 0.871, top5: 0.870, frac_mc: 0.786, top1: 0.950, mae: 0.727, loss: 0.807

                                                                       

ITERATION - loss: 0.95:   0%|          | 0/13 [00:11<00:01, 11.06it/s]
                                                                      

Validation Results - Epoch: 9 Metrics: mse: 0.809, avep: 0.864, top5: 0.860, frac_mc: 0.769, top1: 0.950, mae: 0.727, loss: 0.809

ITERATION - loss: 0.95:   0%|          | 0/13 [00:11<00:01, 11.06it/s]
ITERATION - loss: 0.80:  23%|██▎       | 3/13 [00:11<00:01,  6.48it/s]
ITERATION - loss: 0.84:  54%|█████▍    | 7/13 [00:11<00:00,  8.52it/s]
ITERATION - loss: 0.87:  77%|███████▋  | 10/13 [00:11<00:00, 10.78it/s]
ITERATION - loss: 0.89: 100%|██████████| 13/13 [00:11<00:00, 10.78it/s]
                                                                       

Training Results - Epoch: 10 Metrics: mse: 0.764, avep: 0.871, top5: 0.870, frac_mc: 0.786, top1: 0.950, mae: 0.703, loss: 0.764

ITERATION - loss: 0.89:   0%|          | 0/13 [00:12<00:01, 10.78it/s]
                                                                      

Validation Results - Epoch: 10 Metrics: mse: 0.766, avep: 0.864, top5: 0.860, frac_mc: 0.768, top1: 0.950, mae: 0.704, loss: 0.766

ITERATION - loss: 0.89:   0%|          | 0/13 [00:12<00:01, 10.78it/s]
ITERATION - loss: 0.80:  23%|██▎       | 3/13 [00:12<00:01,  6.10it/s]
ITERATION - loss: 0.66:  46%|████▌     | 6/13 [00:12<00:00,  7.98it/s]
ITERATION - loss: 0.81:  77%|███████▋  | 10/13 [00:12<00:00, 10.35it/s]
ITERATION - loss: 0.70: 100%|██████████| 13/13 [00:13<00:00, 10.35it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 0.737, avep: 0.871, top5: 0.870, frac_mc: 0.786, top1: 0.953, mae: 0.687, loss: 0.737

ITERATION - loss: 0.70:   0%|          | 0/13 [00:13<00:01, 10.35it/s]
                                                                      

Validation Results - Epoch: 11 Metrics: mse: 0.739, avep: 0.863, top5: 0.860, frac_mc: 0.768, top1: 0.950, mae: 0.689, loss: 0.739

ITERATION - loss: 0.70:   0%|          | 0/13 [00:13<00:01, 10.35it/s]
ITERATION - loss: 0.61:  23%|██▎       | 3/13 [00:13<00:01,  6.04it/s]
ITERATION - loss: 0.73:  46%|████▌     | 6/13 [00:14<00:00,  7.77it/s]
ITERATION - loss: 0.75:  77%|███████▋  | 10/13 [00:14<00:00, 10.11it/s]
ITERATION - loss: 0.67: 100%|██████████| 13/13 [00:14<00:00, 10.11it/s]
                                                                       

Training Results - Epoch: 12 Metrics: mse: 0.661, avep: 0.871, top5: 0.869, frac_mc: 0.786, top1: 0.955, mae: 0.654, loss: 0.661

ITERATION - loss: 0.67:   0%|          | 0/13 [00:14<00:01, 10.11it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 0.670, avep: 0.863, top5: 0.860, frac_mc: 0.768, top1: 0.950, mae: 0.660, loss: 0.670

ITERATION - loss: 0.67:   0%|          | 0/13 [00:14<00:01, 10.11it/s]
ITERATION - loss: 0.67:  23%|██▎       | 3/13 [00:15<00:01,  6.09it/s]
ITERATION - loss: 0.62:  46%|████▌     | 6/13 [00:15<00:00,  7.99it/s]
ITERATION - loss: 0.58:  69%|██████▉   | 9/13 [00:15<00:00,  9.98it/s]
ITERATION - loss: 0.69:  92%|█████████▏| 12/13 [00:15<00:00, 12.20it/s]
ITERATION - loss: 0.66: 100%|██████████| 13/13 [00:15<00:00, 12.20it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 0.696, avep: 0.870, top5: 0.867, frac_mc: 0.783, top1: 0.955, mae: 0.673, loss: 0.696

ITERATION - loss: 0.66:   0%|          | 0/13 [00:16<00:01, 12.20it/s]
                                                                      

Validation Results - Epoch: 13 Metrics: mse: 0.718, avep: 0.861, top5: 0.852, frac_mc: 0.769, top1: 0.950, mae: 0.686, loss: 0.718

ITERATION - loss: 0.66:   0%|          | 0/13 [00:16<00:01, 12.20it/s]
ITERATION - loss: 0.61:  23%|██▎       | 3/13 [00:16<00:01,  6.95it/s]
ITERATION - loss: 0.59:  46%|████▌     | 6/13 [00:16<00:00,  8.91it/s]
ITERATION - loss: 0.57:  77%|███████▋  | 10/13 [00:16<00:00, 11.38it/s]
ITERATION - loss: 0.56: 100%|██████████| 13/13 [00:16<00:00, 11.38it/s]
                                                                       

Training Results - Epoch: 14 Metrics: mse: 0.539, avep: 0.870, top5: 0.868, frac_mc: 0.783, top1: 0.955, mae: 0.586, loss: 0.539

ITERATION - loss: 0.56:   0%|          | 0/13 [00:17<00:01, 11.38it/s]
                                                                      

Validation Results - Epoch: 14 Metrics: mse: 0.549, avep: 0.861, top5: 0.852, frac_mc: 0.769, top1: 0.950, mae: 0.597, loss: 0.549

ITERATION - loss: 0.56:   0%|          | 0/13 [00:17<00:01, 11.38it/s]
ITERATION - loss: 0.55:  23%|██▎       | 3/13 [00:17<00:01,  6.39it/s]
ITERATION - loss: 0.54:  54%|█████▍    | 7/13 [00:17<00:00,  8.41it/s]
ITERATION - loss: 0.56:  77%|███████▋  | 10/13 [00:17<00:00, 10.53it/s]
ITERATION - loss: 0.54: 100%|██████████| 13/13 [00:17<00:00, 10.53it/s]
                                                                       

Training Results - Epoch: 15 Metrics: mse: 0.499, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.945, mae: 0.561, loss: 0.499

ITERATION - loss: 0.54:   0%|          | 0/13 [00:18<00:01, 10.53it/s]
                                                                      

Validation Results - Epoch: 15 Metrics: mse: 0.511, avep: 0.860, top5: 0.850, frac_mc: 0.771, top1: 0.940, mae: 0.576, loss: 0.511

ITERATION - loss: 0.54:   0%|          | 0/13 [00:18<00:01, 10.53it/s]
ITERATION - loss: 0.53:  23%|██▎       | 3/13 [00:18<00:01,  6.39it/s]
ITERATION - loss: 0.54:  46%|████▌     | 6/13 [00:18<00:00,  8.26it/s]
ITERATION - loss: 0.50:  77%|███████▋  | 10/13 [00:18<00:00, 10.65it/s]
ITERATION - loss: 0.58: 100%|██████████| 13/13 [00:18<00:00, 10.65it/s]
Training Results - Epoch: 16 Metrics: mse: 0.512, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.943, mae: 0.566, loss: 0.512

                                                                       

ITERATION - loss: 0.58:   0%|          | 0/13 [00:19<00:01, 10.65it/s]
Validation Results - Epoch: 16 Metrics: mse: 0.530, avep: 0.859, top5: 0.848, frac_mc: 0.769, top1: 0.940, mae: 0.584, loss: 0.530

                                                                      

ITERATION - loss: 0.58:   0%|          | 0/13 [00:19<00:01, 10.65it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:19<00:01,  6.23it/s]
ITERATION - loss: 0.45:  54%|█████▍    | 7/13 [00:19<00:00,  8.19it/s]
ITERATION - loss: 0.49:  77%|███████▋  | 10/13 [00:20<00:00, 10.28it/s]
ITERATION - loss: 0.48: 100%|██████████| 13/13 [00:20<00:00, 10.28it/s]
                                                                       

Training Results - Epoch: 17 Metrics: mse: 0.488, avep: 0.868, top5: 0.866, frac_mc: 0.783, top1: 0.945, mae: 0.554, loss: 0.488

ITERATION - loss: 0.48:   0%|          | 0/13 [00:20<00:01, 10.28it/s]
                                                                      

Validation Results - Epoch: 17 Metrics: mse: 0.501, avep: 0.860, top5: 0.848, frac_mc: 0.769, top1: 0.940, mae: 0.569, loss: 0.501

ITERATION - loss: 0.48:   0%|          | 0/13 [00:20<00:01, 10.28it/s]
ITERATION - loss: 0.53:  23%|██▎       | 3/13 [00:21<00:01,  6.20it/s]
ITERATION - loss: 0.44:  46%|████▌     | 6/13 [00:21<00:00,  8.10it/s]
ITERATION - loss: 0.49:  69%|██████▉   | 9/13 [00:21<00:00, 10.35it/s]
ITERATION - loss: 0.52:  92%|█████████▏| 12/13 [00:21<00:00, 12.53it/s]
ITERATION - loss: 0.44: 100%|██████████| 13/13 [00:21<00:00, 12.53it/s]
                                                                       

Training Results - Epoch: 18 Metrics: mse: 0.503, avep: 0.868, top5: 0.866, frac_mc: 0.783, top1: 0.945, mae: 0.563, loss: 0.503

ITERATION - loss: 0.44:   0%|          | 0/13 [00:21<00:01, 12.53it/s]
                                                                      

Validation Results - Epoch: 18 Metrics: mse: 0.504, avep: 0.860, top5: 0.848, frac_mc: 0.769, top1: 0.940, mae: 0.572, loss: 0.504

ITERATION - loss: 0.44:   0%|          | 0/13 [00:22<00:01, 12.53it/s]
ITERATION - loss: 0.44:  23%|██▎       | 3/13 [00:22<00:01,  6.95it/s]
ITERATION - loss: 0.46:  46%|████▌     | 6/13 [00:22<00:00,  8.89it/s]
ITERATION - loss: 0.55:  77%|███████▋  | 10/13 [00:22<00:00, 11.34it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:22<00:00, 11.34it/s]
Training Results - Epoch: 19 Metrics: mse: 0.486, avep: 0.868, top5: 0.866, frac_mc: 0.783, top1: 0.945, mae: 0.552, loss: 0.486

                                                                       

ITERATION - loss: 0.49:   0%|          | 0/13 [00:23<00:01, 11.34it/s]
                                                                      

Validation Results - Epoch: 19 Metrics: mse: 0.503, avep: 0.860, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.569, loss: 0.503

ITERATION - loss: 0.49:   0%|          | 0/13 [00:23<00:01, 11.34it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:23<00:01,  6.39it/s]
ITERATION - loss: 0.45:  54%|█████▍    | 7/13 [00:23<00:00,  8.41it/s]
ITERATION - loss: 0.58:  77%|███████▋  | 10/13 [00:23<00:00, 10.54it/s]
ITERATION - loss: 0.47: 100%|██████████| 13/13 [00:23<00:00, 10.54it/s]
                                                                       

Training Results - Epoch: 20 Metrics: mse: 0.488, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.945, mae: 0.552, loss: 0.488

ITERATION - loss: 0.47:   0%|          | 0/13 [00:24<00:01, 10.54it/s]
                                                                      

Validation Results - Epoch: 20 Metrics: mse: 0.507, avep: 0.859, top5: 0.848, frac_mc: 0.769, top1: 0.940, mae: 0.571, loss: 0.507

ITERATION - loss: 0.47:   0%|          | 0/13 [00:24<00:01, 10.54it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:24<00:01,  6.22it/s]
ITERATION - loss: 0.54:  46%|████▌     | 6/13 [00:24<00:00,  8.02it/s]
ITERATION - loss: 0.48:  77%|███████▋  | 10/13 [00:24<00:00, 10.36it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:24<00:00, 10.36it/s]
Training Results - Epoch: 21 Metrics: mse: 0.512, avep: 0.868, top5: 0.867, frac_mc: 0.785, top1: 0.945, mae: 0.568, loss: 0.512

                                                                       

ITERATION - loss: 0.52:   0%|          | 0/13 [00:25<00:01, 10.36it/s]
Validation Results - Epoch: 21 Metrics: mse: 0.510, avep: 0.860, top5: 0.850, frac_mc: 0.771, top1: 0.940, mae: 0.575, loss: 0.510

                                                                      

ITERATION - loss: 0.52:   0%|          | 0/13 [00:25<00:01, 10.36it/s]
ITERATION - loss: 0.44:  23%|██▎       | 3/13 [00:25<00:01,  6.11it/s]
ITERATION - loss: 0.51:  54%|█████▍    | 7/13 [00:25<00:00,  8.03it/s]
ITERATION - loss: 0.46:  77%|███████▋  | 10/13 [00:26<00:00, 10.11it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:26<00:00, 10.11it/s]
                                                                       

Training Results - Epoch: 22 Metrics: mse: 0.471, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.943, mae: 0.544, loss: 0.471

ITERATION - loss: 0.49:   0%|          | 0/13 [00:26<00:01, 10.11it/s]
                                                                      

Validation Results - Epoch: 22 Metrics: mse: 0.481, avep: 0.859, top5: 0.846, frac_mc: 0.771, top1: 0.940, mae: 0.558, loss: 0.481

ITERATION - loss: 0.49:   0%|          | 0/13 [00:26<00:01, 10.11it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:26<00:01,  6.29it/s]
ITERATION - loss: 0.46:  46%|████▌     | 6/13 [00:27<00:00,  8.08it/s]
ITERATION - loss: 0.46:  69%|██████▉   | 9/13 [00:27<00:00, 10.24it/s]
ITERATION - loss: 0.45:  92%|█████████▏| 12/13 [00:27<00:00, 12.66it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:27<00:00, 12.66it/s]
                                                                       

Training Results - Epoch: 23 Metrics: mse: 0.468, avep: 0.868, top5: 0.867, frac_mc: 0.784, top1: 0.943, mae: 0.542, loss: 0.468

ITERATION - loss: 0.50:   0%|          | 0/13 [00:27<00:01, 12.66it/s]
                                                                      

Validation Results - Epoch: 23 Metrics: mse: 0.479, avep: 0.859, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.557, loss: 0.479

ITERATION - loss: 0.50:   0%|          | 0/13 [00:28<00:01, 12.66it/s]
ITERATION - loss: 0.47:  23%|██▎       | 3/13 [00:28<00:01,  6.98it/s]
ITERATION - loss: 0.50:  54%|█████▍    | 7/13 [00:28<00:00,  9.09it/s]
ITERATION - loss: 0.47:  77%|███████▋  | 10/13 [00:28<00:00, 11.12it/s]
ITERATION - loss: 0.49: 100%|██████████| 13/13 [00:28<00:00, 11.12it/s]
                                                                       

Training Results - Epoch: 24 Metrics: mse: 0.464, avep: 0.868, top5: 0.866, frac_mc: 0.783, top1: 0.943, mae: 0.539, loss: 0.464

ITERATION - loss: 0.49:   0%|          | 0/13 [00:29<00:01, 11.12it/s]
                                                                      

Validation Results - Epoch: 24 Metrics: mse: 0.475, avep: 0.859, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.555, loss: 0.475

ITERATION - loss: 0.49:   0%|          | 0/13 [00:29<00:01, 11.12it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:29<00:01,  6.25it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [00:29<00:00,  8.15it/s]
ITERATION - loss: 0.52:  77%|███████▋  | 10/13 [00:29<00:00, 10.47it/s]
ITERATION - loss: 0.42: 100%|██████████| 13/13 [00:29<00:00, 12.92it/s]
ITERATION - loss: 0.42: 100%|██████████| 13/13 [00:29<00:00, 12.92it/s]
                                                                       

Training Results - Epoch: 25 Metrics: mse: 0.530, avep: 0.868, top5: 0.864, frac_mc: 0.783, top1: 0.945, mae: 0.579, loss: 0.530

ITERATION - loss: 0.42:   0%|          | 0/13 [00:30<00:01, 12.92it/s]
                                                                      

Validation Results - Epoch: 25 Metrics: mse: 0.562, avep: 0.860, top5: 0.848, frac_mc: 0.772, top1: 0.940, mae: 0.599, loss: 0.562

ITERATION - loss: 0.42:   0%|          | 0/13 [00:30<00:01, 12.92it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:30<00:01,  7.14it/s]
ITERATION - loss: 0.53:  46%|████▌     | 6/13 [00:30<00:00,  9.08it/s]
ITERATION - loss: 0.51:  77%|███████▋  | 10/13 [00:30<00:00, 11.53it/s]
ITERATION - loss: 0.46: 100%|██████████| 13/13 [00:30<00:00, 11.53it/s]
                                                                       

Training Results - Epoch: 26 Metrics: mse: 0.466, avep: 0.868, top5: 0.867, frac_mc: 0.785, top1: 0.945, mae: 0.542, loss: 0.466

ITERATION - loss: 0.46:   0%|          | 0/13 [00:31<00:01, 11.53it/s]
                                                                      

Validation Results - Epoch: 26 Metrics: mse: 0.476, avep: 0.860, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.555, loss: 0.476

ITERATION - loss: 0.46:   0%|          | 0/13 [00:31<00:01, 11.53it/s]
ITERATION - loss: 0.50:  23%|██▎       | 3/13 [00:31<00:01,  5.90it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [00:32<00:00,  7.62it/s]
ITERATION - loss: 0.43:  69%|██████▉   | 9/13 [00:32<00:00,  9.75it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:32<00:00, 12.50it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:32<00:00, 12.50it/s]
                                                                       

Training Results - Epoch: 27 Metrics: mse: 0.480, avep: 0.868, top5: 0.868, frac_mc: 0.785, top1: 0.943, mae: 0.550, loss: 0.480

ITERATION - loss: 0.50:   0%|          | 0/13 [00:32<00:01, 12.50it/s]
                                                                      

Validation Results - Epoch: 27 Metrics: mse: 0.483, avep: 0.860, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.560, loss: 0.483

ITERATION - loss: 0.50:   0%|          | 0/13 [00:33<00:01, 12.50it/s]
ITERATION - loss: 0.58:  23%|██▎       | 3/13 [00:33<00:01,  7.06it/s]
ITERATION - loss: 0.45:  54%|█████▍    | 7/13 [00:33<00:00,  9.20it/s]
ITERATION - loss: 0.46:  77%|███████▋  | 10/13 [00:33<00:00, 11.27it/s]
ITERATION - loss: 0.48: 100%|██████████| 13/13 [00:33<00:00, 11.27it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 0.454, avep: 0.868, top5: 0.868, frac_mc: 0.784, top1: 0.943, mae: 0.534, loss: 0.454

ITERATION - loss: 0.48:   0%|          | 0/13 [00:34<00:01, 11.27it/s]
Validation Results - Epoch: 28 Metrics: mse: 0.469, avep: 0.860, top5: 0.850, frac_mc: 0.771, top1: 0.940, mae: 0.550, loss: 0.469

                                                                      

ITERATION - loss: 0.48:   0%|          | 0/13 [00:34<00:01, 11.27it/s]
ITERATION - loss: 0.43:  23%|██▎       | 3/13 [00:34<00:01,  6.40it/s]
ITERATION - loss: 0.46:  54%|█████▍    | 7/13 [00:34<00:00,  8.40it/s]
ITERATION - loss: 0.47:  85%|████████▍ | 11/13 [00:34<00:00, 10.81it/s]
ITERATION - loss: 0.43: 100%|██████████| 13/13 [00:34<00:00, 10.81it/s]
                                                                       
Training Results - Epoch: 29 Metrics: mse: 0.451, avep: 0.868, top5: 0.867, frac_mc: 0.784, top1: 0.943, mae: 0.532, loss: 0.451

ITERATION - loss: 0.43:   0%|          | 0/13 [00:35<00:01, 10.81it/s]
                                                                      

Validation Results - Epoch: 29 Metrics: mse: 0.463, avep: 0.860, top5: 0.848, frac_mc: 0.771, top1: 0.940, mae: 0.548, loss: 0.463

ITERATION - loss: 0.43:   0%|          | 0/13 [00:35<00:01, 10.81it/s]
ITERATION - loss: 0.45:  23%|██▎       | 3/13 [00:35<00:01,  6.33it/s]
ITERATION - loss: 0.42:  54%|█████▍    | 7/13 [00:35<00:00,  8.29it/s]
ITERATION - loss: 0.44:  77%|███████▋  | 10/13 [00:35<00:00, 10.40it/s]
ITERATION - loss: 0.44: 100%|██████████| 13/13 [00:35<00:00, 10.40it/s]
                                                                       

Training Results - Epoch: 30 Metrics: mse: 0.456, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.943, mae: 0.534, loss: 0.456

ITERATION - loss: 0.44:   0%|          | 0/13 [00:36<00:01, 10.40it/s]
                                                                      

Validation Results - Epoch: 30 Metrics: mse: 0.477, avep: 0.860, top5: 0.852, frac_mc: 0.771, top1: 0.940, mae: 0.553, loss: 0.477

ITERATION - loss: 0.44:   0%|          | 0/13 [00:36<00:01, 10.40it/s]
ITERATION - loss: 0.44:  23%|██▎       | 3/13 [00:36<00:01,  6.19it/s]
ITERATION - loss: 0.48:  54%|█████▍    | 7/13 [00:36<00:00,  8.18it/s]
ITERATION - loss: 0.45:  85%|████████▍ | 11/13 [00:36<00:00, 10.54it/s]
ITERATION - loss: 0.51: 100%|██████████| 13/13 [00:37<00:00, 10.54it/s]
Training Results - Epoch: 31 Metrics: mse: 0.500, avep: 0.868, top5: 0.866, frac_mc: 0.783, top1: 0.943, mae: 0.561, loss: 0.500

                                                                       

ITERATION - loss: 0.51:   0%|          | 0/13 [00:37<00:01, 10.54it/s]
                                                                      

Validation Results - Epoch: 31 Metrics: mse: 0.529, avep: 0.861, top5: 0.852, frac_mc: 0.772, top1: 0.940, mae: 0.581, loss: 0.529

ITERATION - loss: 0.51:   0%|          | 0/13 [00:37<00:01, 10.54it/s]
ITERATION - loss: 0.55:  23%|██▎       | 3/13 [00:37<00:01,  6.27it/s]
ITERATION - loss: 0.49:  46%|████▌     | 6/13 [00:37<00:00,  8.15it/s]
ITERATION - loss: 0.42:  77%|███████▋  | 10/13 [00:38<00:00, 10.54it/s]
ITERATION - loss: 0.44: 100%|██████████| 13/13 [00:38<00:00, 10.54it/s]
                                                                       

Training Results - Epoch: 32 Metrics: mse: 0.446, avep: 0.868, top5: 0.866, frac_mc: 0.784, top1: 0.943, mae: 0.529, loss: 0.446

ITERATION - loss: 0.44:   0%|          | 0/13 [00:38<00:01, 10.54it/s]
                                                                      

Validation Results - Epoch: 32 Metrics: mse: 0.465, avep: 0.860, top5: 0.852, frac_mc: 0.771, top1: 0.940, mae: 0.547, loss: 0.465

ITERATION - loss: 0.44:   0%|          | 0/13 [00:38<00:01, 10.54it/s]
ITERATION - loss: 0.49:  23%|██▎       | 3/13 [00:39<00:01,  6.19it/s]
ITERATION - loss: 0.44:  54%|█████▍    | 7/13 [00:39<00:00,  8.17it/s]
ITERATION - loss: 0.43:  77%|███████▋  | 10/13 [00:39<00:00, 10.43it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:39<00:00, 12.92it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:39<00:00, 12.92it/s]
                                                                       

Training Results - Epoch: 33 Metrics: mse: 0.440, avep: 0.868, top5: 0.865, frac_mc: 0.784, top1: 0.940, mae: 0.525, loss: 0.440

ITERATION - loss: 0.45:   0%|          | 0/13 [00:39<00:01, 12.92it/s]
                                                                      

Validation Results - Epoch: 33 Metrics: mse: 0.452, avep: 0.860, top5: 0.852, frac_mc: 0.773, top1: 0.940, mae: 0.541, loss: 0.452

ITERATION - loss: 0.45:   0%|          | 0/13 [00:40<00:01, 12.92it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:40<00:01,  7.05it/s]
ITERATION - loss: 0.43:  54%|█████▍    | 7/13 [00:40<00:00,  9.06it/s]
ITERATION - loss: 0.46:  85%|████████▍ | 11/13 [00:40<00:00, 11.63it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:40<00:00, 11.63it/s]
                                                                       

Training Results - Epoch: 34 Metrics: mse: 0.451, avep: 0.868, top5: 0.865, frac_mc: 0.784, top1: 0.943, mae: 0.531, loss: 0.451

ITERATION - loss: 0.45:   0%|          | 0/13 [00:41<00:01, 11.63it/s]
                                                                      

Validation Results - Epoch: 34 Metrics: mse: 0.473, avep: 0.861, top5: 0.852, frac_mc: 0.772, top1: 0.940, mae: 0.550, loss: 0.473

ITERATION - loss: 0.45:   0%|          | 0/13 [00:41<00:01, 11.63it/s]
ITERATION - loss: 0.43:  23%|██▎       | 3/13 [00:41<00:01,  6.46it/s]
ITERATION - loss: 0.56:  54%|█████▍    | 7/13 [00:41<00:00,  8.49it/s]
ITERATION - loss: 0.48:  77%|███████▋  | 10/13 [00:41<00:00, 10.80it/s]
ITERATION - loss: 0.48: 100%|██████████| 13/13 [00:41<00:00, 10.80it/s]
Training Results - Epoch: 35 Metrics: mse: 0.465, avep: 0.869, top5: 0.868, frac_mc: 0.785, top1: 0.943, mae: 0.540, loss: 0.465

                                                                       

ITERATION - loss: 0.48:   0%|          | 0/13 [00:42<00:01, 10.80it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 0.490, avep: 0.861, top5: 0.852, frac_mc: 0.773, top1: 0.940, mae: 0.559, loss: 0.490

ITERATION - loss: 0.48:   0%|          | 0/13 [00:42<00:01, 10.80it/s]
ITERATION - loss: 0.51:  23%|██▎       | 3/13 [00:42<00:01,  6.31it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [00:42<00:00,  8.07it/s]
ITERATION - loss: 0.42:  69%|██████▉   | 9/13 [00:42<00:00, 10.30it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:42<00:00, 13.10it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:42<00:00, 13.10it/s]
                                                                       

Training Results - Epoch: 36 Metrics: mse: 0.524, avep: 0.868, top5: 0.867, frac_mc: 0.784, top1: 0.943, mae: 0.577, loss: 0.524

ITERATION - loss: 0.52:   0%|          | 0/13 [00:43<00:00, 13.10it/s]
Validation Results - Epoch: 36 Metrics: mse: 0.521, avep: 0.861, top5: 0.852, frac_mc: 0.770, top1: 0.940, mae: 0.581, loss: 0.521

                                                                      

ITERATION - loss: 0.52:   0%|          | 0/13 [00:43<00:00, 13.10it/s]
ITERATION - loss: 0.50:  23%|██▎       | 3/13 [00:43<00:01,  7.14it/s]
ITERATION - loss: 0.42:  54%|█████▍    | 7/13 [00:43<00:00,  9.33it/s]
ITERATION - loss: 0.43:  77%|███████▋  | 10/13 [00:44<00:00, 11.45it/s]
ITERATION - loss: 0.52: 100%|██████████| 13/13 [00:44<00:00, 11.45it/s]
                                                                       

Training Results - Epoch: 37 Metrics: mse: 0.422, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.515, loss: 0.422

ITERATION - loss: 0.52:   0%|          | 0/13 [00:44<00:01, 11.45it/s]
Validation Results - Epoch: 37 Metrics: mse: 0.436, avep: 0.861, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.531, loss: 0.436

                                                                      

ITERATION - loss: 0.52:   0%|          | 0/13 [00:44<00:01, 11.45it/s]
ITERATION - loss: 0.40:  23%|██▎       | 3/13 [00:45<00:01,  6.38it/s]
ITERATION - loss: 0.41:  54%|█████▍    | 7/13 [00:45<00:00,  8.39it/s]
ITERATION - loss: 0.55:  85%|████████▍ | 11/13 [00:45<00:00, 10.76it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:45<00:00, 10.76it/s]
                                                                       

Training Results - Epoch: 38 Metrics: mse: 0.428, avep: 0.869, top5: 0.871, frac_mc: 0.787, top1: 0.943, mae: 0.520, loss: 0.428

ITERATION - loss: 0.45:   0%|          | 0/13 [00:45<00:01, 10.76it/s]
                                                                      

Validation Results - Epoch: 38 Metrics: mse: 0.437, avep: 0.862, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.533, loss: 0.437

ITERATION - loss: 0.45:   0%|          | 0/13 [00:46<00:01, 10.76it/s]
ITERATION - loss: 0.45:  23%|██▎       | 3/13 [00:46<00:01,  6.33it/s]
ITERATION - loss: 0.38:  46%|████▌     | 6/13 [00:46<00:00,  8.15it/s]
ITERATION - loss: 0.42:  77%|███████▋  | 10/13 [00:46<00:00, 10.51it/s]
ITERATION - loss: 0.44: 100%|██████████| 13/13 [00:46<00:00, 10.51it/s]
                                                                       

Training Results - Epoch: 39 Metrics: mse: 0.415, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.511, loss: 0.415

ITERATION - loss: 0.44:   0%|          | 0/13 [00:47<00:01, 10.51it/s]
                                                                      

Validation Results - Epoch: 39 Metrics: mse: 0.426, avep: 0.861, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.526, loss: 0.426

ITERATION - loss: 0.44:   0%|          | 0/13 [00:47<00:01, 10.51it/s]
ITERATION - loss: 0.39:  23%|██▎       | 3/13 [00:47<00:01,  6.23it/s]
ITERATION - loss: 0.43:  54%|█████▍    | 7/13 [00:47<00:00,  8.23it/s]
ITERATION - loss: 0.41:  77%|███████▋  | 10/13 [00:47<00:00, 10.49it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:47<00:00, 12.86it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:47<00:00, 12.86it/s]
                                                                       

Training Results - Epoch: 40 Metrics: mse: 0.418, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.513, loss: 0.418

ITERATION - loss: 0.50:   0%|          | 0/13 [00:48<00:01, 12.86it/s]
                                                                      

Validation Results - Epoch: 40 Metrics: mse: 0.426, avep: 0.862, top5: 0.854, frac_mc: 0.772, top1: 0.940, mae: 0.527, loss: 0.426

ITERATION - loss: 0.50:   0%|          | 0/13 [00:48<00:01, 12.86it/s]
ITERATION - loss: 0.42:  23%|██▎       | 3/13 [00:48<00:01,  7.21it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [00:48<00:00,  9.13it/s]
ITERATION - loss: 0.47:  77%|███████▋  | 10/13 [00:48<00:00, 11.64it/s]
ITERATION - loss: 0.47: 100%|██████████| 13/13 [00:48<00:00, 11.64it/s]
                                                                       

Training Results - Epoch: 41 Metrics: mse: 0.407, avep: 0.870, top5: 0.869, frac_mc: 0.787, top1: 0.943, mae: 0.505, loss: 0.407

ITERATION - loss: 0.47:   0%|          | 0/13 [00:49<00:01, 11.64it/s]
                                                                      

Validation Results - Epoch: 41 Metrics: mse: 0.423, avep: 0.861, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.523, loss: 0.423

ITERATION - loss: 0.47:   0%|          | 0/13 [00:49<00:01, 11.64it/s]
ITERATION - loss: 0.38:  23%|██▎       | 3/13 [00:49<00:01,  6.45it/s]
ITERATION - loss: 0.40:  54%|█████▍    | 7/13 [00:49<00:00,  8.47it/s]
ITERATION - loss: 0.46:  77%|███████▋  | 10/13 [00:50<00:00, 10.65it/s]
ITERATION - loss: 0.34: 100%|██████████| 13/13 [00:50<00:00, 13.14it/s]
ITERATION - loss: 0.34: 100%|██████████| 13/13 [00:50<00:00, 13.14it/s]
Training Results - Epoch: 42 Metrics: mse: 0.419, avep: 0.869, top5: 0.869, frac_mc: 0.787, top1: 0.943, mae: 0.511, loss: 0.419

                                                                       

ITERATION - loss: 0.34:   0%|          | 0/13 [00:50<00:00, 13.14it/s]
Validation Results - Epoch: 42 Metrics: mse: 0.441, avep: 0.862, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.530, loss: 0.441

                                                                      

ITERATION - loss: 0.34:   0%|          | 0/13 [00:50<00:00, 13.14it/s]
ITERATION - loss: 0.39:  23%|██▎       | 3/13 [00:50<00:01,  7.35it/s]
ITERATION - loss: 0.41:  46%|████▌     | 6/13 [00:51<00:00,  9.32it/s]
ITERATION - loss: 0.48:  77%|███████▋  | 10/13 [00:51<00:00, 11.81it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:51<00:00, 11.81it/s]
                                                                       

Training Results - Epoch: 43 Metrics: mse: 0.406, avep: 0.870, top5: 0.869, frac_mc: 0.787, top1: 0.943, mae: 0.506, loss: 0.406

ITERATION - loss: 0.45:   0%|          | 0/13 [00:51<00:01, 11.81it/s]
                                                                      

Validation Results - Epoch: 43 Metrics: mse: 0.416, avep: 0.862, top5: 0.854, frac_mc: 0.771, top1: 0.940, mae: 0.520, loss: 0.416

ITERATION - loss: 0.45:   0%|          | 0/13 [00:52<00:01, 11.81it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:52<00:01,  6.54it/s]
ITERATION - loss: 0.39:  46%|████▌     | 6/13 [00:52<00:00,  8.53it/s]
ITERATION - loss: 0.38:  69%|██████▉   | 9/13 [00:52<00:00, 10.61it/s]
ITERATION - loss: 0.39:  92%|█████████▏| 12/13 [00:52<00:00, 13.02it/s]
ITERATION - loss: 0.50: 100%|██████████| 13/13 [00:52<00:00, 13.02it/s]
                                                                       
Training Results - Epoch: 44 Metrics: mse: 0.420, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.515, loss: 0.420

ITERATION - loss: 0.50:   0%|          | 0/13 [00:53<00:00, 13.02it/s]
                                                                      

Validation Results - Epoch: 44 Metrics: mse: 0.429, avep: 0.862, top5: 0.854, frac_mc: 0.773, top1: 0.940, mae: 0.528, loss: 0.429

ITERATION - loss: 0.50:   0%|          | 0/13 [00:53<00:00, 13.02it/s]
ITERATION - loss: 0.43:  23%|██▎       | 3/13 [00:53<00:01,  7.26it/s]
ITERATION - loss: 0.48:  46%|████▌     | 6/13 [00:53<00:00,  9.26it/s]
ITERATION - loss: 0.37:  77%|███████▋  | 10/13 [00:53<00:00, 11.85it/s]
ITERATION - loss: 0.42: 100%|██████████| 13/13 [00:53<00:00, 11.85it/s]
                                                                       

Training Results - Epoch: 45 Metrics: mse: 0.419, avep: 0.869, top5: 0.868, frac_mc: 0.786, top1: 0.943, mae: 0.512, loss: 0.419

ITERATION - loss: 0.42:   0%|          | 0/13 [00:54<00:01, 11.85it/s]
                                                                      

Validation Results - Epoch: 45 Metrics: mse: 0.444, avep: 0.862, top5: 0.852, frac_mc: 0.771, top1: 0.940, mae: 0.532, loss: 0.444

ITERATION - loss: 0.42:   0%|          | 0/13 [00:54<00:01, 11.85it/s]
ITERATION - loss: 0.42:  23%|██▎       | 3/13 [00:54<00:01,  6.70it/s]
ITERATION - loss: 0.44:  54%|█████▍    | 7/13 [00:54<00:00,  8.80it/s]
ITERATION - loss: 0.41:  85%|████████▍ | 11/13 [00:54<00:00, 11.16it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [00:54<00:00, 11.16it/s]
                                                                       
Training Results - Epoch: 46 Metrics: mse: 0.398, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.500, loss: 0.398

ITERATION - loss: 0.37:   0%|          | 0/13 [00:55<00:01, 11.16it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 0.408, avep: 0.862, top5: 0.852, frac_mc: 0.772, top1: 0.940, mae: 0.515, loss: 0.408

ITERATION - loss: 0.37:   0%|          | 0/13 [00:55<00:01, 11.16it/s]
ITERATION - loss: 0.38:  23%|██▎       | 3/13 [00:55<00:01,  6.58it/s]
ITERATION - loss: 0.39:  46%|████▌     | 6/13 [00:55<00:00,  8.51it/s]
ITERATION - loss: 0.37:  69%|██████▉   | 9/13 [00:55<00:00, 10.81it/s]
ITERATION - loss: 0.34:  92%|█████████▏| 12/13 [00:55<00:00, 13.34it/s]
ITERATION - loss: 0.45: 100%|██████████| 13/13 [00:55<00:00, 13.34it/s]
                                                                       

Training Results - Epoch: 47 Metrics: mse: 0.406, avep: 0.869, top5: 0.869, frac_mc: 0.787, top1: 0.943, mae: 0.503, loss: 0.406

ITERATION - loss: 0.45:   0%|          | 0/13 [00:56<00:00, 13.34it/s]
                                                                      

Validation Results - Epoch: 47 Metrics: mse: 0.429, avep: 0.862, top5: 0.852, frac_mc: 0.772, top1: 0.940, mae: 0.523, loss: 0.429

ITERATION - loss: 0.45:   0%|          | 0/13 [00:56<00:00, 13.34it/s]
ITERATION - loss: 0.48:  23%|██▎       | 3/13 [00:56<00:01,  6.84it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [00:56<00:00,  8.90it/s]
ITERATION - loss: 0.36:  69%|██████▉   | 9/13 [00:57<00:00, 10.98it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [00:57<00:00, 13.85it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [00:57<00:00, 13.85it/s]
                                                                       

ITERATION - loss: 0.39:   0%|          | 0/13 [00:57<00:00, 13.85it/s]
Training Results - Epoch: 48 Metrics: mse: 0.396, avep: 0.870, top5: 0.870, frac_mc: 0.788, top1: 0.943, mae: 0.500, loss: 0.396

Validation Results - Epoch: 48 Metrics: mse: 0.405, avep: 0.862, top5: 0.852, frac_mc: 0.772, top1: 0.940, mae: 0.514, loss: 0.405

                                                                      

ITERATION - loss: 0.39:   0%|          | 0/13 [00:57<00:00, 13.85it/s]
ITERATION - loss: 0.34:  23%|██▎       | 3/13 [00:57<00:01,  7.61it/s]
ITERATION - loss: 0.41:  46%|████▌     | 6/13 [00:58<00:00,  9.63it/s]
ITERATION - loss: 0.46:  77%|███████▋  | 10/13 [00:58<00:00, 12.19it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [00:58<00:00, 12.19it/s]
Training Results - Epoch: 49 Metrics: mse: 0.407, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.504, loss: 0.407

                                                                       

ITERATION - loss: 0.30:   0%|          | 0/13 [00:58<00:01, 12.19it/s]
Validation Results - Epoch: 49 Metrics: mse: 0.433, avep: 0.862, top5: 0.852, frac_mc: 0.773, top1: 0.940, mae: 0.525, loss: 0.433

                                                                      

ITERATION - loss: 0.30:   0%|          | 0/13 [00:59<00:01, 12.19it/s]
ITERATION - loss: 0.43:  23%|██▎       | 3/13 [00:59<00:01,  6.52it/s]
ITERATION - loss: 0.37:  46%|████▌     | 6/13 [00:59<00:00,  8.49it/s]
ITERATION - loss: 0.36:  69%|██████▉   | 9/13 [00:59<00:00, 10.70it/s]
ITERATION - loss: 0.36: 100%|██████████| 13/13 [00:59<00:00, 13.58it/s]
ITERATION - loss: 0.36: 100%|██████████| 13/13 [00:59<00:00, 13.58it/s]
                                                                       

Training Results - Epoch: 50 Metrics: mse: 0.383, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.492, loss: 0.383

ITERATION - loss: 0.36:   0%|          | 0/13 [01:00<00:00, 13.58it/s]
                                                                      

Validation Results - Epoch: 50 Metrics: mse: 0.395, avep: 0.862, top5: 0.852, frac_mc: 0.773, top1: 0.940, mae: 0.507, loss: 0.395

ITERATION - loss: 0.36:   0%|          | 0/13 [01:00<00:00, 13.58it/s]
ITERATION - loss: 0.39:  23%|██▎       | 3/13 [01:00<00:01,  6.92it/s]
ITERATION - loss: 0.39:  46%|████▌     | 6/13 [01:00<00:00,  8.93it/s]
ITERATION - loss: 0.37:  69%|██████▉   | 9/13 [01:00<00:00, 11.13it/s]
ITERATION - loss: 0.37:  92%|█████████▏| 12/13 [01:00<00:00, 13.57it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [01:00<00:00, 13.57it/s]
                                                                       

Training Results - Epoch: 51 Metrics: mse: 0.397, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.498, loss: 0.397

ITERATION - loss: 0.39:   0%|          | 0/13 [01:01<00:00, 13.57it/s]
                                                                      

Validation Results - Epoch: 51 Metrics: mse: 0.424, avep: 0.862, top5: 0.852, frac_mc: 0.774, top1: 0.940, mae: 0.519, loss: 0.424

ITERATION - loss: 0.39:   0%|          | 0/13 [01:01<00:00, 13.57it/s]
ITERATION - loss: 0.46:  23%|██▎       | 3/13 [01:01<00:01,  7.35it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [01:01<00:00,  9.29it/s]
ITERATION - loss: 0.42:  77%|███████▋  | 10/13 [01:01<00:00, 11.77it/s]
ITERATION - loss: 0.43: 100%|██████████| 13/13 [01:01<00:00, 11.77it/s]
                                                                       

Training Results - Epoch: 52 Metrics: mse: 0.376, avep: 0.869, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.487, loss: 0.376

ITERATION - loss: 0.43:   0%|          | 0/13 [01:02<00:01, 11.77it/s]
                                                                      

Validation Results - Epoch: 52 Metrics: mse: 0.389, avep: 0.862, top5: 0.852, frac_mc: 0.774, top1: 0.940, mae: 0.504, loss: 0.389

ITERATION - loss: 0.43:   0%|          | 0/13 [01:02<00:01, 11.77it/s]
ITERATION - loss: 0.41:  23%|██▎       | 3/13 [01:02<00:01,  6.50it/s]
ITERATION - loss: 0.34:  46%|████▌     | 6/13 [01:02<00:00,  8.45it/s]
ITERATION - loss: 0.41:  69%|██████▉   | 9/13 [01:03<00:00, 10.50it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [01:03<00:00, 13.38it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [01:03<00:00, 13.38it/s]
                                                                       

Training Results - Epoch: 53 Metrics: mse: 0.371, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.483, loss: 0.371

ITERATION - loss: 0.39:   0%|          | 0/13 [01:03<00:00, 13.38it/s]
                                                                      
Validation Results - Epoch: 53 Metrics: mse: 0.386, avep: 0.862, top5: 0.852, frac_mc: 0.774, top1: 0.940, mae: 0.501, loss: 0.386

ITERATION - loss: 0.39:   0%|          | 0/13 [01:03<00:00, 13.38it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:04<00:01,  7.15it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [01:04<00:00,  9.23it/s]
ITERATION - loss: 0.39:  77%|███████▋  | 10/13 [01:04<00:00, 11.72it/s]
ITERATION - loss: 0.40: 100%|██████████| 13/13 [01:04<00:00, 14.29it/s]
ITERATION - loss: 0.40: 100%|██████████| 13/13 [01:04<00:00, 14.29it/s]
                                                                       

ITERATION - loss: 0.40:   0%|          | 0/13 [01:04<00:00, 14.29it/s]
Training Results - Epoch: 54 Metrics: mse: 0.400, avep: 0.870, top5: 0.870, frac_mc: 0.788, top1: 0.943, mae: 0.504, loss: 0.400

Validation Results - Epoch: 54 Metrics: mse: 0.405, avep: 0.863, top5: 0.852, frac_mc: 0.774, top1: 0.940, mae: 0.515, loss: 0.405

                                                                      

ITERATION - loss: 0.40:   0%|          | 0/13 [01:05<00:00, 14.29it/s]
ITERATION - loss: 0.46:  23%|██▎       | 3/13 [01:05<00:01,  7.48it/s]
ITERATION - loss: 0.45:  46%|████▌     | 6/13 [01:05<00:00,  9.59it/s]
ITERATION - loss: 0.39:  69%|██████▉   | 9/13 [01:05<00:00, 11.90it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [01:05<00:00, 14.93it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [01:05<00:00, 14.93it/s]
Training Results - Epoch: 55 Metrics: mse: 0.416, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.945, mae: 0.510, loss: 0.416

                                                                       

ITERATION - loss: 0.39:   0%|          | 0/13 [01:06<00:00, 14.93it/s]
Validation Results - Epoch: 55 Metrics: mse: 0.449, avep: 0.863, top5: 0.854, frac_mc: 0.773, top1: 0.940, mae: 0.533, loss: 0.449

                                                                      

ITERATION - loss: 0.39:   0%|          | 0/13 [01:06<00:00, 14.93it/s]
ITERATION - loss: 0.41:  23%|██▎       | 3/13 [01:06<00:01,  7.67it/s]
ITERATION - loss: 0.35:  54%|█████▍    | 7/13 [01:06<00:00,  9.94it/s]
ITERATION - loss: 0.40:  77%|███████▋  | 10/13 [01:06<00:00, 12.00it/s]
ITERATION - loss: 0.38: 100%|██████████| 13/13 [01:06<00:00, 14.05it/s]
ITERATION - loss: 0.38: 100%|██████████| 13/13 [01:06<00:00, 14.05it/s]
                                                                       
Training Results - Epoch: 56 Metrics: mse: 0.368, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.943, mae: 0.482, loss: 0.368


ITERATION - loss: 0.38:   0%|          | 0/13 [01:07<00:00, 14.05it/s]
                                                                      

Validation Results - Epoch: 56 Metrics: mse: 0.381, avep: 0.862, top5: 0.852, frac_mc: 0.774, top1: 0.940, mae: 0.498, loss: 0.381

ITERATION - loss: 0.38:   0%|          | 0/13 [01:07<00:00, 14.05it/s]
ITERATION - loss: 0.36:  23%|██▎       | 3/13 [01:07<00:01,  7.39it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [01:07<00:00,  9.53it/s]
ITERATION - loss: 0.33:  77%|███████▋  | 10/13 [01:07<00:00, 12.11it/s]
ITERATION - loss: 0.36: 100%|██████████| 13/13 [01:07<00:00, 12.11it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 0.365, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.945, mae: 0.478, loss: 0.365

ITERATION - loss: 0.36:   0%|          | 0/13 [01:08<00:01, 12.11it/s]
Validation Results - Epoch: 57 Metrics: mse: 0.389, avep: 0.863, top5: 0.854, frac_mc: 0.773, top1: 0.940, mae: 0.499, loss: 0.389

                                                                      

ITERATION - loss: 0.36:   0%|          | 0/13 [01:08<00:01, 12.11it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:08<00:01,  6.66it/s]
ITERATION - loss: 0.36:  46%|████▌     | 6/13 [01:08<00:00,  8.66it/s]
ITERATION - loss: 0.36:  77%|███████▋  | 10/13 [01:08<00:00, 11.06it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:09<00:00, 13.48it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:09<00:00, 13.48it/s]
Training Results - Epoch: 58 Metrics: mse: 0.363, avep: 0.870, top5: 0.870, frac_mc: 0.788, top1: 0.945, mae: 0.479, loss: 0.363

                                                                       

ITERATION - loss: 0.32:   0%|          | 0/13 [01:09<00:00, 13.48it/s]
Validation Results - Epoch: 58 Metrics: mse: 0.374, avep: 0.863, top5: 0.854, frac_mc: 0.773, top1: 0.940, mae: 0.495, loss: 0.374

                                                                      

ITERATION - loss: 0.32:   0%|          | 0/13 [01:09<00:00, 13.48it/s]
ITERATION - loss: 0.37:  23%|██▎       | 3/13 [01:09<00:01,  7.33it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [01:10<00:00,  9.33it/s]
ITERATION - loss: 0.36:  69%|██████▉   | 9/13 [01:10<00:00, 11.49it/s]
ITERATION - loss: 0.43: 100%|██████████| 13/13 [01:10<00:00, 14.36it/s]
ITERATION - loss: 0.43: 100%|██████████| 13/13 [01:10<00:00, 14.36it/s]
                                                                       

Training Results - Epoch: 59 Metrics: mse: 0.371, avep: 0.870, top5: 0.870, frac_mc: 0.787, top1: 0.945, mae: 0.485, loss: 0.371

ITERATION - loss: 0.43:   0%|          | 0/13 [01:10<00:00, 14.36it/s]
                                                                      

Validation Results - Epoch: 59 Metrics: mse: 0.380, avep: 0.863, top5: 0.854, frac_mc: 0.774, top1: 0.940, mae: 0.499, loss: 0.380

ITERATION - loss: 0.43:   0%|          | 0/13 [01:11<00:00, 14.36it/s]
ITERATION - loss: 0.36:  23%|██▎       | 3/13 [01:11<00:01,  7.42it/s]
ITERATION - loss: 0.44:  54%|█████▍    | 7/13 [01:11<00:00,  9.66it/s]
ITERATION - loss: 0.38:  77%|███████▋  | 10/13 [01:11<00:00, 11.81it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:11<00:00, 11.81it/s]
                                                                       

Training Results - Epoch: 60 Metrics: mse: 0.349, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.948, mae: 0.468, loss: 0.349

ITERATION - loss: 0.32:   0%|          | 0/13 [01:12<00:01, 11.81it/s]
                                                                      

Validation Results - Epoch: 60 Metrics: mse: 0.371, avep: 0.863, top5: 0.856, frac_mc: 0.774, top1: 0.940, mae: 0.488, loss: 0.371

ITERATION - loss: 0.32:   0%|          | 0/13 [01:12<00:01, 11.81it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:12<00:01,  6.51it/s]
ITERATION - loss: 0.36:  54%|█████▍    | 7/13 [01:12<00:00,  8.51it/s]
ITERATION - loss: 0.36:  77%|███████▋  | 10/13 [01:12<00:00, 10.82it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:12<00:00, 10.82it/s]
Training Results - Epoch: 61 Metrics: mse: 0.344, avep: 0.871, top5: 0.871, frac_mc: 0.788, top1: 0.948, mae: 0.465, loss: 0.344

                                                                       

ITERATION - loss: 0.37:   0%|          | 0/13 [01:13<00:01, 10.82it/s]
Validation Results - Epoch: 61 Metrics: mse: 0.366, avep: 0.863, top5: 0.856, frac_mc: 0.774, top1: 0.940, mae: 0.486, loss: 0.366

                                                                      

ITERATION - loss: 0.37:   0%|          | 0/13 [01:13<00:01, 10.82it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:13<00:01,  6.11it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [01:13<00:00,  7.91it/s]
ITERATION - loss: 0.32:  69%|██████▉   | 9/13 [01:13<00:00, 10.13it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [01:13<00:00, 12.96it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [01:13<00:00, 12.96it/s]
Training Results - Epoch: 62 Metrics: mse: 0.340, avep: 0.871, top5: 0.870, frac_mc: 0.788, top1: 0.948, mae: 0.463, loss: 0.340

                                                                       

ITERATION - loss: 0.33:   0%|          | 0/13 [01:14<00:01, 12.96it/s]
                                                                      
Validation Results - Epoch: 62 Metrics: mse: 0.362, avep: 0.863, top5: 0.856, frac_mc: 0.773, top1: 0.940, mae: 0.483, loss: 0.362

ITERATION - loss: 0.33:   0%|          | 0/13 [01:14<00:01, 12.96it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:14<00:01,  7.13it/s]
ITERATION - loss: 0.41:  54%|█████▍    | 7/13 [01:14<00:00,  9.31it/s]
ITERATION - loss: 0.34:  77%|███████▋  | 10/13 [01:14<00:00, 11.69it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:15<00:00, 14.29it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:15<00:00, 14.29it/s]
                                                                       

Training Results - Epoch: 63 Metrics: mse: 0.377, avep: 0.871, top5: 0.871, frac_mc: 0.788, top1: 0.948, mae: 0.491, loss: 0.377

ITERATION - loss: 0.37:   0%|          | 0/13 [01:15<00:00, 14.29it/s]
                                                                      

Validation Results - Epoch: 63 Metrics: mse: 0.384, avep: 0.863, top5: 0.856, frac_mc: 0.774, top1: 0.940, mae: 0.501, loss: 0.384

ITERATION - loss: 0.37:   0%|          | 0/13 [01:15<00:00, 14.29it/s]
ITERATION - loss: 0.39:  23%|██▎       | 3/13 [01:15<00:01,  7.45it/s]
ITERATION - loss: 0.34:  46%|████▌     | 6/13 [01:16<00:00,  9.62it/s]
ITERATION - loss: 0.37:  69%|██████▉   | 9/13 [01:16<00:00, 12.04it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:16<00:00, 15.10it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:16<00:00, 15.10it/s]
                                                                       

Training Results - Epoch: 64 Metrics: mse: 0.335, avep: 0.871, top5: 0.871, frac_mc: 0.789, top1: 0.948, mae: 0.460, loss: 0.335

ITERATION - loss: 0.35:   0%|          | 0/13 [01:16<00:00, 15.10it/s]
                                                                      

Validation Results - Epoch: 64 Metrics: mse: 0.352, avep: 0.863, top5: 0.856, frac_mc: 0.773, top1: 0.940, mae: 0.479, loss: 0.352

ITERATION - loss: 0.35:   0%|          | 0/13 [01:17<00:00, 15.10it/s]
ITERATION - loss: 0.36:  23%|██▎       | 3/13 [01:17<00:01,  7.57it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:17<00:00,  9.75it/s]
ITERATION - loss: 0.30:  77%|███████▋  | 10/13 [01:17<00:00, 12.39it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:17<00:00, 12.39it/s]
                                                                       

Training Results - Epoch: 65 Metrics: mse: 0.328, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.454, loss: 0.328

ITERATION - loss: 0.37:   0%|          | 0/13 [01:18<00:01, 12.39it/s]
                                                                      

Validation Results - Epoch: 65 Metrics: mse: 0.350, avep: 0.863, top5: 0.856, frac_mc: 0.773, top1: 0.940, mae: 0.475, loss: 0.350

ITERATION - loss: 0.37:   0%|          | 0/13 [01:18<00:01, 12.39it/s]
ITERATION - loss: 0.35:  23%|██▎       | 3/13 [01:18<00:01,  6.66it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [01:18<00:00,  8.52it/s]
ITERATION - loss: 0.29:  69%|██████▉   | 9/13 [01:18<00:00, 10.82it/s]
ITERATION - loss: 0.27:  92%|█████████▏| 12/13 [01:18<00:00, 13.23it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:18<00:00, 13.23it/s]
                                                                       

Training Results - Epoch: 66 Metrics: mse: 0.334, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.461, loss: 0.334

ITERATION - loss: 0.31:   0%|          | 0/13 [01:19<00:00, 13.23it/s]
                                                                      

Validation Results - Epoch: 66 Metrics: mse: 0.347, avep: 0.864, top5: 0.858, frac_mc: 0.773, top1: 0.940, mae: 0.477, loss: 0.347

ITERATION - loss: 0.31:   0%|          | 0/13 [01:19<00:00, 13.23it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:19<00:01,  7.00it/s]
ITERATION - loss: 0.30:  54%|█████▍    | 7/13 [01:19<00:00,  9.15it/s]
ITERATION - loss: 0.33:  77%|███████▋  | 10/13 [01:19<00:00, 11.47it/s]
ITERATION - loss: 0.38: 100%|██████████| 13/13 [01:19<00:00, 11.47it/s]
                                                                       

Training Results - Epoch: 67 Metrics: mse: 0.388, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.501, loss: 0.388

ITERATION - loss: 0.38:   0%|          | 0/13 [01:20<00:01, 11.47it/s]
                                                                      

Validation Results - Epoch: 67 Metrics: mse: 0.392, avep: 0.864, top5: 0.858, frac_mc: 0.774, top1: 0.940, mae: 0.507, loss: 0.392

ITERATION - loss: 0.38:   0%|          | 0/13 [01:20<00:01, 11.47it/s]
ITERATION - loss: 0.37:  23%|██▎       | 3/13 [01:20<00:01,  6.01it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:20<00:00,  7.95it/s]
ITERATION - loss: 0.33:  85%|████████▍ | 11/13 [01:21<00:00, 10.29it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:21<00:00, 10.29it/s]
                                                                       

Training Results - Epoch: 68 Metrics: mse: 0.413, avep: 0.872, top5: 0.873, frac_mc: 0.789, top1: 0.945, mae: 0.517, loss: 0.413

ITERATION - loss: 0.35:   0%|          | 0/13 [01:21<00:01, 10.29it/s]
Validation Results - Epoch: 68 Metrics: mse: 0.416, avep: 0.864, top5: 0.860, frac_mc: 0.776, top1: 0.940, mae: 0.522, loss: 0.416

                                                                      

ITERATION - loss: 0.35:   0%|          | 0/13 [01:21<00:01, 10.29it/s]
ITERATION - loss: 0.50:  23%|██▎       | 3/13 [01:21<00:01,  6.32it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:22<00:00,  8.16it/s]
ITERATION - loss: 0.35:  77%|███████▋  | 10/13 [01:22<00:00, 10.54it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:22<00:00, 10.54it/s]
                                                                       

Training Results - Epoch: 69 Metrics: mse: 0.327, avep: 0.872, top5: 0.873, frac_mc: 0.789, top1: 0.945, mae: 0.456, loss: 0.327

ITERATION - loss: 0.31:   0%|          | 0/13 [01:22<00:01, 10.54it/s]
                                                                      

Validation Results - Epoch: 69 Metrics: mse: 0.341, avep: 0.864, top5: 0.858, frac_mc: 0.775, top1: 0.940, mae: 0.472, loss: 0.341

ITERATION - loss: 0.31:   0%|          | 0/13 [01:23<00:01, 10.54it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:23<00:01,  6.22it/s]
ITERATION - loss: 0.35:  54%|█████▍    | 7/13 [01:23<00:00,  8.23it/s]
ITERATION - loss: 0.34:  77%|███████▋  | 10/13 [01:23<00:00, 10.51it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:23<00:00, 12.94it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:23<00:00, 12.94it/s]
                                                                       

Training Results - Epoch: 70 Metrics: mse: 0.459, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.538, loss: 0.459

ITERATION - loss: 0.31:   0%|          | 0/13 [01:24<00:01, 12.94it/s]
                                                                      

Validation Results - Epoch: 70 Metrics: mse: 0.505, avep: 0.863, top5: 0.856, frac_mc: 0.773, top1: 0.940, mae: 0.564, loss: 0.505

ITERATION - loss: 0.31:   0%|          | 0/13 [01:24<00:01, 12.94it/s]
ITERATION - loss: 0.34:  23%|██▎       | 3/13 [01:24<00:01,  7.11it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:24<00:00,  9.08it/s]
ITERATION - loss: 0.34:  77%|███████▋  | 10/13 [01:24<00:00, 11.54it/s]
ITERATION - loss: 0.47: 100%|██████████| 13/13 [01:24<00:00, 11.54it/s]
                                                                       
Training Results - Epoch: 71 Metrics: mse: 0.341, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.467, loss: 0.341

ITERATION - loss: 0.47:   0%|          | 0/13 [01:25<00:01, 11.54it/s]
                                                                      

Validation Results - Epoch: 71 Metrics: mse: 0.352, avep: 0.864, top5: 0.856, frac_mc: 0.776, top1: 0.940, mae: 0.480, loss: 0.352

ITERATION - loss: 0.47:   0%|          | 0/13 [01:25<00:01, 11.54it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:25<00:01,  6.53it/s]
ITERATION - loss: 0.33:  54%|█████▍    | 7/13 [01:25<00:00,  8.57it/s]
ITERATION - loss: 0.32:  77%|███████▋  | 10/13 [01:25<00:00, 10.67it/s]
ITERATION - loss: 0.25: 100%|██████████| 13/13 [01:25<00:00, 10.67it/s]
                                                                       

Training Results - Epoch: 72 Metrics: mse: 0.312, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.444, loss: 0.312

ITERATION - loss: 0.25:   0%|          | 0/13 [01:26<00:01, 10.67it/s]
Validation Results - Epoch: 72 Metrics: mse: 0.334, avep: 0.864, top5: 0.860, frac_mc: 0.774, top1: 0.940, mae: 0.465, loss: 0.334

                                                                      

ITERATION - loss: 0.25:   0%|          | 0/13 [01:26<00:01, 10.67it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:26<00:01,  6.11it/s]
ITERATION - loss: 0.30:  54%|█████▍    | 7/13 [01:26<00:00,  8.12it/s]
ITERATION - loss: 0.42:  85%|████████▍ | 11/13 [01:26<00:00, 10.46it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:26<00:00, 10.46it/s]
Training Results - Epoch: 73 Metrics: mse: 0.309, avep: 0.872, top5: 0.872, frac_mc: 0.789, top1: 0.948, mae: 0.441, loss: 0.309

                                                                       

ITERATION - loss: 0.37:   0%|          | 0/13 [01:27<00:01, 10.46it/s]
                                                                      

Validation Results - Epoch: 73 Metrics: mse: 0.330, avep: 0.864, top5: 0.858, frac_mc: 0.774, top1: 0.940, mae: 0.462, loss: 0.330

ITERATION - loss: 0.37:   0%|          | 0/13 [01:27<00:01, 10.46it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [01:27<00:01,  6.40it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:27<00:00,  8.37it/s]
ITERATION - loss: 0.35:  77%|███████▋  | 10/13 [01:28<00:00, 10.42it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:28<00:00, 10.42it/s]
                                                                       

Training Results - Epoch: 74 Metrics: mse: 0.304, avep: 0.873, top5: 0.872, frac_mc: 0.790, top1: 0.948, mae: 0.439, loss: 0.304

ITERATION - loss: 0.31:   0%|          | 0/13 [01:28<00:01, 10.42it/s]
                                                                      

Validation Results - Epoch: 74 Metrics: mse: 0.325, avep: 0.864, top5: 0.860, frac_mc: 0.774, top1: 0.940, mae: 0.458, loss: 0.325

ITERATION - loss: 0.31:   0%|          | 0/13 [01:28<00:01, 10.42it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:29<00:01,  6.28it/s]
ITERATION - loss: 0.32:  46%|████▌     | 6/13 [01:29<00:00,  8.10it/s]
ITERATION - loss: 0.32:  77%|███████▋  | 10/13 [01:29<00:00, 10.46it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:29<00:00, 10.46it/s]
Training Results - Epoch: 75 Metrics: mse: 0.304, avep: 0.873, top5: 0.874, frac_mc: 0.790, top1: 0.945, mae: 0.437, loss: 0.304

                                                                       

ITERATION - loss: 0.28:   0%|          | 0/13 [01:29<00:01, 10.46it/s]
                                                                      

Validation Results - Epoch: 75 Metrics: mse: 0.330, avep: 0.865, top5: 0.860, frac_mc: 0.775, top1: 0.940, mae: 0.459, loss: 0.330

ITERATION - loss: 0.28:   0%|          | 0/13 [01:30<00:01, 10.46it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [01:30<00:01,  5.97it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:30<00:00,  7.70it/s]
ITERATION - loss: 0.31:  77%|███████▋  | 10/13 [01:30<00:00,  9.96it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [01:30<00:00,  9.96it/s]
                                                                       

Training Results - Epoch: 76 Metrics: mse: 0.299, avep: 0.873, top5: 0.874, frac_mc: 0.790, top1: 0.945, mae: 0.437, loss: 0.299

ITERATION - loss: 0.33:   0%|          | 0/13 [01:31<00:01,  9.96it/s]
                                                                      
Validation Results - Epoch: 76 Metrics: mse: 0.318, avep: 0.865, top5: 0.860, frac_mc: 0.775, top1: 0.940, mae: 0.455, loss: 0.318

ITERATION - loss: 0.33:   0%|          | 0/13 [01:31<00:01,  9.96it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:31<00:01,  6.16it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:31<00:00,  8.07it/s]
ITERATION - loss: 0.31:  77%|███████▋  | 10/13 [01:31<00:00, 10.45it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:31<00:00, 10.45it/s]
                                                                       

Training Results - Epoch: 77 Metrics: mse: 0.294, avep: 0.873, top5: 0.874, frac_mc: 0.790, top1: 0.945, mae: 0.432, loss: 0.294

ITERATION - loss: 0.32:   0%|          | 0/13 [01:32<00:01, 10.45it/s]
                                                                      

Validation Results - Epoch: 77 Metrics: mse: 0.315, avep: 0.866, top5: 0.860, frac_mc: 0.775, top1: 0.940, mae: 0.452, loss: 0.315

ITERATION - loss: 0.32:   0%|          | 0/13 [01:32<00:01, 10.45it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [01:32<00:01,  6.22it/s]
ITERATION - loss: 0.30:  54%|█████▍    | 7/13 [01:32<00:00,  8.15it/s]
ITERATION - loss: 0.30:  77%|███████▋  | 10/13 [01:32<00:00, 10.33it/s]
ITERATION - loss: 0.51: 100%|██████████| 13/13 [01:32<00:00, 10.33it/s]
                                                                       

Training Results - Epoch: 78 Metrics: mse: 0.296, avep: 0.874, top5: 0.875, frac_mc: 0.790, top1: 0.945, mae: 0.435, loss: 0.296

ITERATION - loss: 0.51:   0%|          | 0/13 [01:33<00:01, 10.33it/s]
                                                                      

Validation Results - Epoch: 78 Metrics: mse: 0.314, avep: 0.865, top5: 0.860, frac_mc: 0.776, top1: 0.940, mae: 0.453, loss: 0.314

ITERATION - loss: 0.51:   0%|          | 0/13 [01:33<00:01, 10.33it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:33<00:01,  6.23it/s]
ITERATION - loss: 0.31:  46%|████▌     | 6/13 [01:33<00:00,  8.17it/s]
ITERATION - loss: 0.31:  77%|███████▋  | 10/13 [01:34<00:00, 10.53it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:34<00:00, 13.02it/s]
ITERATION - loss: 0.35: 100%|██████████| 13/13 [01:34<00:00, 13.02it/s]
                                                                       

Training Results - Epoch: 79 Metrics: mse: 0.327, avep: 0.874, top5: 0.875, frac_mc: 0.791, top1: 0.945, mae: 0.450, loss: 0.327

ITERATION - loss: 0.35:   0%|          | 0/13 [01:34<00:00, 13.02it/s]
                                                                      

Validation Results - Epoch: 79 Metrics: mse: 0.361, avep: 0.866, top5: 0.862, frac_mc: 0.777, top1: 0.940, mae: 0.475, loss: 0.361

ITERATION - loss: 0.35:   0%|          | 0/13 [01:34<00:00, 13.02it/s]
ITERATION - loss: 0.35:  23%|██▎       | 3/13 [01:34<00:01,  7.27it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:35<00:00,  9.44it/s]
ITERATION - loss: 0.38:  77%|███████▋  | 10/13 [01:35<00:00, 11.77it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:35<00:00, 11.77it/s]
                                                                       

Training Results - Epoch: 80 Metrics: mse: 0.323, avep: 0.873, top5: 0.875, frac_mc: 0.789, top1: 0.945, mae: 0.448, loss: 0.323

ITERATION - loss: 0.31:   0%|          | 0/13 [01:35<00:01, 11.77it/s]
                                                                      

Validation Results - Epoch: 80 Metrics: mse: 0.358, avep: 0.866, top5: 0.858, frac_mc: 0.776, top1: 0.940, mae: 0.474, loss: 0.358

ITERATION - loss: 0.31:   0%|          | 0/13 [01:36<00:01, 11.77it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:36<00:01,  6.46it/s]
ITERATION - loss: 0.39:  54%|█████▍    | 7/13 [01:36<00:00,  8.47it/s]
ITERATION - loss: 0.29:  85%|████████▍ | 11/13 [01:36<00:00, 10.89it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:36<00:00, 10.89it/s]
                                                                       

Training Results - Epoch: 81 Metrics: mse: 0.348, avep: 0.874, top5: 0.874, frac_mc: 0.790, top1: 0.945, mae: 0.476, loss: 0.348

ITERATION - loss: 0.32:   0%|          | 0/13 [01:37<00:01, 10.89it/s]
                                                                      

Validation Results - Epoch: 81 Metrics: mse: 0.356, avep: 0.864, top5: 0.860, frac_mc: 0.775, top1: 0.940, mae: 0.484, loss: 0.356

ITERATION - loss: 0.32:   0%|          | 0/13 [01:37<00:01, 10.89it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:37<00:01,  6.39it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [01:37<00:00,  8.25it/s]
ITERATION - loss: 0.34:  77%|███████▋  | 10/13 [01:37<00:00, 10.70it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [01:37<00:00, 10.70it/s]
Training Results - Epoch: 82 Metrics: mse: 0.298, avep: 0.873, top5: 0.873, frac_mc: 0.791, top1: 0.945, mae: 0.437, loss: 0.298

                                                                       

ITERATION - loss: 0.33:   0%|          | 0/13 [01:38<00:01, 10.70it/s]
Validation Results - Epoch: 82 Metrics: mse: 0.314, avep: 0.865, top5: 0.858, frac_mc: 0.775, top1: 0.940, mae: 0.453, loss: 0.314

                                                                      

ITERATION - loss: 0.33:   0%|          | 0/13 [01:38<00:01, 10.70it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:38<00:01,  6.22it/s]
ITERATION - loss: 0.26:  54%|█████▍    | 7/13 [01:38<00:00,  8.20it/s]
ITERATION - loss: 0.34:  77%|███████▋  | 10/13 [01:38<00:00, 10.29it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:38<00:00, 10.29it/s]
                                                                       

Training Results - Epoch: 83 Metrics: mse: 0.297, avep: 0.874, top5: 0.875, frac_mc: 0.790, top1: 0.945, mae: 0.437, loss: 0.297

ITERATION - loss: 0.28:   0%|          | 0/13 [01:39<00:01, 10.29it/s]
                                                                      

Validation Results - Epoch: 83 Metrics: mse: 0.314, avep: 0.865, top5: 0.858, frac_mc: 0.777, top1: 0.940, mae: 0.453, loss: 0.314

ITERATION - loss: 0.28:   0%|          | 0/13 [01:39<00:01, 10.29it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:39<00:01,  6.21it/s]
ITERATION - loss: 0.35:  46%|████▌     | 6/13 [01:39<00:00,  8.01it/s]
ITERATION - loss: 0.25:  77%|███████▋  | 10/13 [01:39<00:00, 10.35it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:39<00:00, 10.35it/s]
                                                                       

Training Results - Epoch: 84 Metrics: mse: 0.297, avep: 0.874, top5: 0.876, frac_mc: 0.791, top1: 0.945, mae: 0.437, loss: 0.297

ITERATION - loss: 0.27:   0%|          | 0/13 [01:40<00:01, 10.35it/s]
                                                                      

Validation Results - Epoch: 84 Metrics: mse: 0.313, avep: 0.865, top5: 0.858, frac_mc: 0.777, top1: 0.940, mae: 0.452, loss: 0.313

ITERATION - loss: 0.27:   0%|          | 0/13 [01:40<00:01, 10.35it/s]
ITERATION - loss: 0.20:  23%|██▎       | 3/13 [01:40<00:01,  5.80it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [01:41<00:00,  7.50it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [01:41<00:00,  9.74it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:41<00:00,  9.74it/s]
                                                                       

Training Results - Epoch: 85 Metrics: mse: 0.308, avep: 0.874, top5: 0.874, frac_mc: 0.790, top1: 0.945, mae: 0.438, loss: 0.308

ITERATION - loss: 0.24:   0%|          | 0/13 [01:41<00:01,  9.74it/s]
                                                                      

Validation Results - Epoch: 85 Metrics: mse: 0.341, avep: 0.866, top5: 0.858, frac_mc: 0.776, top1: 0.940, mae: 0.462, loss: 0.341

ITERATION - loss: 0.24:   0%|          | 0/13 [01:42<00:01,  9.74it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:42<00:01,  5.98it/s]
ITERATION - loss: 0.34:  54%|█████▍    | 7/13 [01:42<00:00,  7.90it/s]
ITERATION - loss: 0.30:  77%|███████▋  | 10/13 [01:42<00:00,  9.90it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:42<00:00,  9.90it/s]
Training Results - Epoch: 86 Metrics: mse: 0.284, avep: 0.875, top5: 0.876, frac_mc: 0.791, top1: 0.945, mae: 0.423, loss: 0.284

                                                                       

ITERATION - loss: 0.24:   0%|          | 0/13 [01:43<00:01,  9.90it/s]
                                                                      

Validation Results - Epoch: 86 Metrics: mse: 0.308, avep: 0.866, top5: 0.860, frac_mc: 0.777, top1: 0.940, mae: 0.445, loss: 0.308

ITERATION - loss: 0.24:   0%|          | 0/13 [01:43<00:01,  9.90it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:43<00:01,  6.19it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [01:43<00:00,  8.04it/s]
ITERATION - loss: 0.32:  77%|███████▋  | 10/13 [01:43<00:00, 10.34it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:43<00:00, 10.34it/s]
                                                                       

Training Results - Epoch: 87 Metrics: mse: 0.330, avep: 0.874, top5: 0.875, frac_mc: 0.791, top1: 0.945, mae: 0.452, loss: 0.330

ITERATION - loss: 0.27:   0%|          | 0/13 [01:44<00:01, 10.34it/s]
                                                                      

Validation Results - Epoch: 87 Metrics: mse: 0.367, avep: 0.866, top5: 0.858, frac_mc: 0.774, top1: 0.940, mae: 0.478, loss: 0.367

ITERATION - loss: 0.27:   0%|          | 0/13 [01:44<00:01, 10.34it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:44<00:01,  6.00it/s]
ITERATION - loss: 0.31:  54%|█████▍    | 7/13 [01:44<00:00,  7.93it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [01:44<00:00, 10.06it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [01:44<00:00, 10.06it/s]
                                                                       

Training Results - Epoch: 88 Metrics: mse: 0.299, avep: 0.875, top5: 0.876, frac_mc: 0.792, top1: 0.945, mae: 0.440, loss: 0.299

ITERATION - loss: 0.32:   0%|          | 0/13 [01:45<00:01, 10.06it/s]
Validation Results - Epoch: 88 Metrics: mse: 0.314, avep: 0.866, top5: 0.862, frac_mc: 0.777, top1: 0.940, mae: 0.454, loss: 0.314

                                                                      

ITERATION - loss: 0.32:   0%|          | 0/13 [01:45<00:01, 10.06it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:45<00:01,  6.01it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [01:45<00:00,  7.82it/s]
ITERATION - loss: 0.33:  69%|██████▉   | 9/13 [01:45<00:00,  9.98it/s]
ITERATION - loss: 0.23:  92%|█████████▏| 12/13 [01:46<00:00, 12.15it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:46<00:00, 12.15it/s]
                                                                       

Training Results - Epoch: 89 Metrics: mse: 0.285, avep: 0.875, top5: 0.876, frac_mc: 0.791, top1: 0.945, mae: 0.423, loss: 0.285

ITERATION - loss: 0.28:   0%|          | 0/13 [01:46<00:01, 12.15it/s]
                                                                      

Validation Results - Epoch: 89 Metrics: mse: 0.313, avep: 0.867, top5: 0.862, frac_mc: 0.778, top1: 0.940, mae: 0.446, loss: 0.313

ITERATION - loss: 0.28:   0%|          | 0/13 [01:46<00:01, 12.15it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:46<00:01,  6.90it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [01:47<00:00,  8.86it/s]
ITERATION - loss: 0.33:  85%|████████▍ | 11/13 [01:47<00:00, 11.31it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:47<00:00, 11.31it/s]
                                                                       

Training Results - Epoch: 90 Metrics: mse: 0.311, avep: 0.875, top5: 0.876, frac_mc: 0.792, top1: 0.945, mae: 0.450, loss: 0.311

ITERATION - loss: 0.28:   0%|          | 0/13 [01:47<00:01, 11.31it/s]
                                                                      

Validation Results - Epoch: 90 Metrics: mse: 0.324, avep: 0.866, top5: 0.862, frac_mc: 0.778, top1: 0.940, mae: 0.463, loss: 0.324

ITERATION - loss: 0.28:   0%|          | 0/13 [01:48<00:01, 11.31it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:48<00:01,  6.49it/s]
ITERATION - loss: 0.34:  54%|█████▍    | 7/13 [01:48<00:00,  8.55it/s]
ITERATION - loss: 0.27:  85%|████████▍ | 11/13 [01:48<00:00, 10.97it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [01:48<00:00, 10.97it/s]
Training Results - Epoch: 91 Metrics: mse: 0.311, avep: 0.875, top5: 0.875, frac_mc: 0.791, top1: 0.945, mae: 0.439, loss: 0.311

                                                                       

ITERATION - loss: 0.24:   0%|          | 0/13 [01:49<00:01, 10.97it/s]
Validation Results - Epoch: 91 Metrics: mse: 0.346, avep: 0.867, top5: 0.860, frac_mc: 0.778, top1: 0.940, mae: 0.465, loss: 0.346

                                                                      

ITERATION - loss: 0.24:   0%|          | 0/13 [01:49<00:01, 10.97it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [01:49<00:01,  6.42it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [01:49<00:00,  8.27it/s]
ITERATION - loss: 0.40:  77%|███████▋  | 10/13 [01:49<00:00, 10.63it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [01:49<00:00, 10.63it/s]
                                                                       

Training Results - Epoch: 92 Metrics: mse: 0.286, avep: 0.875, top5: 0.876, frac_mc: 0.791, top1: 0.945, mae: 0.430, loss: 0.286

ITERATION - loss: 0.37:   0%|          | 0/13 [01:50<00:01, 10.63it/s]
                                                                      

Validation Results - Epoch: 92 Metrics: mse: 0.304, avep: 0.866, top5: 0.864, frac_mc: 0.777, top1: 0.940, mae: 0.446, loss: 0.304

ITERATION - loss: 0.37:   0%|          | 0/13 [01:50<00:01, 10.63it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:50<00:01,  6.06it/s]
ITERATION - loss: 0.30:  54%|█████▍    | 7/13 [01:50<00:00,  8.04it/s]
ITERATION - loss: 0.33:  77%|███████▋  | 10/13 [01:50<00:00, 10.07it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [01:50<00:00, 10.07it/s]
                                                                       

Training Results - Epoch: 93 Metrics: mse: 0.294, avep: 0.875, top5: 0.875, frac_mc: 0.791, top1: 0.948, mae: 0.436, loss: 0.294

ITERATION - loss: 0.30:   0%|          | 0/13 [01:51<00:01, 10.07it/s]
Validation Results - Epoch: 93 Metrics: mse: 0.312, avep: 0.866, top5: 0.864, frac_mc: 0.775, top1: 0.940, mae: 0.451, loss: 0.312

                                                                      

ITERATION - loss: 0.30:   0%|          | 0/13 [01:51<00:01, 10.07it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [01:51<00:01,  6.01it/s]
ITERATION - loss: 0.36:  54%|█████▍    | 7/13 [01:51<00:00,  7.89it/s]
ITERATION - loss: 0.27:  85%|████████▍ | 11/13 [01:52<00:00, 10.01it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:52<00:00, 10.01it/s]
Training Results - Epoch: 94 Metrics: mse: 0.281, avep: 0.875, top5: 0.875, frac_mc: 0.790, top1: 0.945, mae: 0.421, loss: 0.281

                                                                       

ITERATION - loss: 0.27:   0%|          | 0/13 [01:52<00:01, 10.01it/s]
Validation Results - Epoch: 94 Metrics: mse: 0.307, avep: 0.867, top5: 0.860, frac_mc: 0.779, top1: 0.940, mae: 0.443, loss: 0.307

                                                                      

ITERATION - loss: 0.27:   0%|          | 0/13 [01:52<00:01, 10.01it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [01:52<00:01,  6.22it/s]
ITERATION - loss: 0.27:  46%|████▌     | 6/13 [01:53<00:00,  8.03it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [01:53<00:00, 10.18it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:53<00:00, 12.98it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [01:53<00:00, 12.98it/s]
                                                                       

Training Results - Epoch: 95 Metrics: mse: 0.277, avep: 0.875, top5: 0.874, frac_mc: 0.791, top1: 0.945, mae: 0.419, loss: 0.277

ITERATION - loss: 0.31:   0%|          | 0/13 [01:53<00:01, 12.98it/s]
                                                                      

Validation Results - Epoch: 95 Metrics: mse: 0.302, avep: 0.867, top5: 0.860, frac_mc: 0.777, top1: 0.940, mae: 0.441, loss: 0.302

ITERATION - loss: 0.31:   0%|          | 0/13 [01:54<00:01, 12.98it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [01:54<00:01,  7.14it/s]
ITERATION - loss: 0.27:  54%|█████▍    | 7/13 [01:54<00:00,  9.30it/s]
ITERATION - loss: 0.30:  77%|███████▋  | 10/13 [01:54<00:00, 11.46it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:54<00:00, 11.46it/s]
                                                                       
Training Results - Epoch: 96 Metrics: mse: 0.278, avep: 0.876, top5: 0.877, frac_mc: 0.792, top1: 0.945, mae: 0.423, loss: 0.278

ITERATION - loss: 0.28:   0%|          | 0/13 [01:55<00:01, 11.46it/s]
                                                                      

Validation Results - Epoch: 96 Metrics: mse: 0.298, avep: 0.867, top5: 0.858, frac_mc: 0.778, top1: 0.940, mae: 0.442, loss: 0.298

ITERATION - loss: 0.28:   0%|          | 0/13 [01:55<00:01, 11.46it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [01:55<00:01,  6.19it/s]
ITERATION - loss: 0.32:  54%|█████▍    | 7/13 [01:55<00:00,  8.18it/s]
ITERATION - loss: 0.29:  85%|████████▍ | 11/13 [01:55<00:00, 10.51it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [01:55<00:00, 10.51it/s]
                                                                       

Training Results - Epoch: 97 Metrics: mse: 0.321, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.948, mae: 0.446, loss: 0.321

ITERATION - loss: 0.23:   0%|          | 0/13 [01:56<00:01, 10.51it/s]
                                                                      

Validation Results - Epoch: 97 Metrics: mse: 0.359, avep: 0.868, top5: 0.862, frac_mc: 0.779, top1: 0.940, mae: 0.473, loss: 0.359

ITERATION - loss: 0.23:   0%|          | 0/13 [01:56<00:01, 10.51it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:56<00:01,  6.32it/s]
ITERATION - loss: 0.24:  54%|█████▍    | 7/13 [01:56<00:00,  8.23it/s]
ITERATION - loss: 0.25:  85%|████████▍ | 11/13 [01:56<00:00, 10.59it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [01:56<00:00, 10.59it/s]
                                                                       

Training Results - Epoch: 98 Metrics: mse: 0.319, avep: 0.876, top5: 0.876, frac_mc: 0.793, top1: 0.948, mae: 0.457, loss: 0.319

ITERATION - loss: 0.27:   0%|          | 0/13 [01:57<00:01, 10.59it/s]
                                                                      

Validation Results - Epoch: 98 Metrics: mse: 0.331, avep: 0.868, top5: 0.866, frac_mc: 0.778, top1: 0.940, mae: 0.468, loss: 0.331

ITERATION - loss: 0.27:   0%|          | 0/13 [01:57<00:01, 10.59it/s]
ITERATION - loss: 0.31:  23%|██▎       | 3/13 [01:57<00:01,  6.45it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [01:57<00:00,  8.36it/s]
ITERATION - loss: 0.28:  77%|███████▋  | 10/13 [01:57<00:00, 10.69it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [01:58<00:00, 10.69it/s]
Training Results - Epoch: 99 Metrics: mse: 0.295, avep: 0.876, top5: 0.876, frac_mc: 0.793, top1: 0.948, mae: 0.438, loss: 0.295

                                                                       

ITERATION - loss: 0.28:   0%|          | 0/13 [01:58<00:01, 10.69it/s]
Validation Results - Epoch: 99 Metrics: mse: 0.310, avep: 0.869, top5: 0.868, frac_mc: 0.781, top1: 0.940, mae: 0.452, loss: 0.310

                                                                      

ITERATION - loss: 0.28:   0%|          | 0/13 [01:58<00:01, 10.69it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [01:58<00:01,  6.10it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [01:59<00:00,  7.86it/s]
ITERATION - loss: 0.30:  69%|██████▉   | 9/13 [01:59<00:00, 10.03it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:59<00:00, 12.87it/s]
ITERATION - loss: 0.21: 100%|██████████| 13/13 [01:59<00:00, 12.87it/s]
                                                                       

Training Results - Epoch: 100 Metrics: mse: 0.293, avep: 0.877, top5: 0.876, frac_mc: 0.794, top1: 0.945, mae: 0.428, loss: 0.293

ITERATION - loss: 0.21:   0%|          | 0/13 [01:59<00:01, 12.87it/s]
                                                                      

Validation Results - Epoch: 100 Metrics: mse: 0.327, avep: 0.868, top5: 0.866, frac_mc: 0.782, top1: 0.940, mae: 0.453, loss: 0.327

ITERATION - loss: 0.21:   0%|          | 0/13 [02:00<00:01, 12.87it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [02:00<00:01,  7.08it/s]
ITERATION - loss: 0.24:  54%|█████▍    | 7/13 [02:00<00:00,  9.20it/s]
ITERATION - loss: 0.25:  77%|███████▋  | 10/13 [02:00<00:00, 10.88it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [02:00<00:00, 10.88it/s]
Training Results - Epoch: 101 Metrics: mse: 0.279, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.948, mae: 0.419, loss: 0.279
                                                                       


ITERATION - loss: 0.26:   0%|          | 0/13 [02:01<00:01, 10.88it/s]
                                                                      

Validation Results - Epoch: 101 Metrics: mse: 0.309, avep: 0.869, top5: 0.866, frac_mc: 0.783, top1: 0.940, mae: 0.444, loss: 0.309

ITERATION - loss: 0.26:   0%|          | 0/13 [02:01<00:01, 10.88it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [02:01<00:01,  6.23it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [02:01<00:00,  8.12it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [02:01<00:00, 10.45it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [02:01<00:00, 12.91it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [02:01<00:00, 12.91it/s]
                                                                       

Training Results - Epoch: 102 Metrics: mse: 0.286, avep: 0.878, top5: 0.876, frac_mc: 0.794, top1: 0.950, mae: 0.431, loss: 0.286

ITERATION - loss: 0.30:   0%|          | 0/13 [02:02<00:01, 12.91it/s]
                                                                      

Validation Results - Epoch: 102 Metrics: mse: 0.303, avep: 0.869, top5: 0.864, frac_mc: 0.781, top1: 0.940, mae: 0.447, loss: 0.303

ITERATION - loss: 0.30:   0%|          | 0/13 [02:02<00:01, 12.91it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [02:02<00:01,  7.24it/s]
ITERATION - loss: 0.28:  54%|█████▍    | 7/13 [02:02<00:00,  9.26it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [02:02<00:00, 11.62it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [02:02<00:00, 11.62it/s]
                                                                       

Training Results - Epoch: 103 Metrics: mse: 0.292, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.950, mae: 0.436, loss: 0.292

ITERATION - loss: 0.31:   0%|          | 0/13 [02:03<00:01, 11.62it/s]
                                                                      
Validation Results - Epoch: 103 Metrics: mse: 0.307, avep: 0.868, top5: 0.866, frac_mc: 0.781, top1: 0.940, mae: 0.450, loss: 0.307

ITERATION - loss: 0.31:   0%|          | 0/13 [02:03<00:01, 11.62it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:03<00:01,  6.30it/s]
ITERATION - loss: 0.35:  54%|█████▍    | 7/13 [02:03<00:00,  8.28it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [02:04<00:00, 10.54it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [02:04<00:00, 10.54it/s]
                                                                       

Training Results - Epoch: 104 Metrics: mse: 0.271, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.950, mae: 0.416, loss: 0.271

ITERATION - loss: 0.26:   0%|          | 0/13 [02:04<00:01, 10.54it/s]
                                                                      

Validation Results - Epoch: 104 Metrics: mse: 0.295, avep: 0.869, top5: 0.866, frac_mc: 0.781, top1: 0.940, mae: 0.437, loss: 0.295

ITERATION - loss: 0.26:   0%|          | 0/13 [02:04<00:01, 10.54it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [02:05<00:01,  6.34it/s]
ITERATION - loss: 0.32:  46%|████▌     | 6/13 [02:05<00:00,  8.25it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [02:05<00:00, 10.66it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [02:05<00:00, 10.66it/s]
                                                                       
Training Results - Epoch: 105 Metrics: mse: 0.272, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.950, mae: 0.418, loss: 0.272

ITERATION - loss: 0.33:   0%|          | 0/13 [02:05<00:01, 10.66it/s]
                                                                      

Validation Results - Epoch: 105 Metrics: mse: 0.294, avep: 0.870, top5: 0.868, frac_mc: 0.782, top1: 0.940, mae: 0.438, loss: 0.294

ITERATION - loss: 0.33:   0%|          | 0/13 [02:06<00:01, 10.66it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [02:06<00:01,  6.17it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [02:06<00:00,  8.04it/s]
ITERATION - loss: 0.24:  69%|██████▉   | 9/13 [02:06<00:00, 10.15it/s]
ITERATION - loss: 0.28:  92%|█████████▏| 12/13 [02:06<00:00, 12.65it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [02:06<00:00, 12.65it/s]
                                                                       

Training Results - Epoch: 106 Metrics: mse: 0.272, avep: 0.878, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.272

ITERATION - loss: 0.23:   0%|          | 0/13 [02:07<00:01, 12.65it/s]
                                                                      

Validation Results - Epoch: 106 Metrics: mse: 0.300, avep: 0.870, top5: 0.870, frac_mc: 0.783, top1: 0.940, mae: 0.439, loss: 0.300

ITERATION - loss: 0.23:   0%|          | 0/13 [02:07<00:01, 12.65it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [02:07<00:01,  7.13it/s]
ITERATION - loss: 0.27:  46%|████▌     | 6/13 [02:07<00:00,  9.16it/s]
ITERATION - loss: 0.24:  77%|███████▋  | 10/13 [02:07<00:00, 11.70it/s]
ITERATION - loss: 0.34: 100%|██████████| 13/13 [02:07<00:00, 11.70it/s]
                                                                       

Training Results - Epoch: 107 Metrics: mse: 0.281, avep: 0.878, top5: 0.877, frac_mc: 0.794, top1: 0.950, mae: 0.427, loss: 0.281

ITERATION - loss: 0.34:   0%|          | 0/13 [02:08<00:01, 11.70it/s]
                                                                      

Validation Results - Epoch: 107 Metrics: mse: 0.300, avep: 0.870, top5: 0.868, frac_mc: 0.781, top1: 0.940, mae: 0.444, loss: 0.300

ITERATION - loss: 0.34:   0%|          | 0/13 [02:08<00:01, 11.70it/s]
ITERATION - loss: 0.33:  23%|██▎       | 3/13 [02:08<00:01,  6.56it/s]
ITERATION - loss: 0.25:  54%|█████▍    | 7/13 [02:08<00:00,  8.62it/s]
ITERATION - loss: 0.29:  77%|███████▋  | 10/13 [02:08<00:00, 10.79it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [02:08<00:00, 10.79it/s]
                                                                       

Training Results - Epoch: 108 Metrics: mse: 0.275, avep: 0.878, top5: 0.878, frac_mc: 0.795, top1: 0.950, mae: 0.421, loss: 0.275

ITERATION - loss: 0.28:   0%|          | 0/13 [02:09<00:01, 10.79it/s]
Validation Results - Epoch: 108 Metrics: mse: 0.295, avep: 0.870, top5: 0.868, frac_mc: 0.782, top1: 0.940, mae: 0.440, loss: 0.295

                                                                      

ITERATION - loss: 0.28:   0%|          | 0/13 [02:09<00:01, 10.79it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:09<00:01,  6.35it/s]
ITERATION - loss: 0.33:  46%|████▌     | 6/13 [02:09<00:00,  8.16it/s]
ITERATION - loss: 0.24:  77%|███████▋  | 10/13 [02:09<00:00, 10.51it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [02:10<00:00, 10.51it/s]
                                                                       
Training Results - Epoch: 109 Metrics: mse: 0.282, avep: 0.878, top5: 0.876, frac_mc: 0.794, top1: 0.950, mae: 0.428, loss: 0.282


ITERATION - loss: 0.31:   0%|          | 0/13 [02:10<00:01, 10.51it/s]
                                                                      

Validation Results - Epoch: 109 Metrics: mse: 0.300, avep: 0.869, top5: 0.868, frac_mc: 0.781, top1: 0.940, mae: 0.444, loss: 0.300

ITERATION - loss: 0.31:   0%|          | 0/13 [02:10<00:01, 10.51it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [02:10<00:01,  6.00it/s]
ITERATION - loss: 0.32:  54%|█████▍    | 7/13 [02:11<00:00,  7.92it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [02:11<00:00,  9.93it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [02:11<00:00,  9.93it/s]
                                                                       

Training Results - Epoch: 110 Metrics: mse: 0.270, avep: 0.878, top5: 0.876, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.270

ITERATION - loss: 0.27:   0%|          | 0/13 [02:11<00:01,  9.93it/s]
                                                                      

Validation Results - Epoch: 110 Metrics: mse: 0.295, avep: 0.870, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.295

ITERATION - loss: 0.27:   0%|          | 0/13 [02:12<00:01,  9.93it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:12<00:01,  6.00it/s]
ITERATION - loss: 0.32:  46%|████▌     | 6/13 [02:12<00:00,  7.81it/s]
ITERATION - loss: 0.29:  77%|███████▋  | 10/13 [02:12<00:00, 10.10it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:12<00:00, 12.60it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:12<00:00, 12.60it/s]
                                                                       

Training Results - Epoch: 111 Metrics: mse: 0.280, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.948, mae: 0.420, loss: 0.280

ITERATION - loss: 0.19:   0%|          | 0/13 [02:13<00:01, 12.60it/s]
                                                                      
Validation Results - Epoch: 111 Metrics: mse: 0.311, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.444, loss: 0.311

ITERATION - loss: 0.19:   0%|          | 0/13 [02:13<00:01, 12.60it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:13<00:01,  7.21it/s]
ITERATION - loss: 0.27:  46%|████▌     | 6/13 [02:13<00:00,  9.12it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [02:13<00:00, 11.64it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [02:13<00:00, 11.64it/s]
                                                                       

Training Results - Epoch: 112 Metrics: mse: 0.272, avep: 0.878, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.419, loss: 0.272

ITERATION - loss: 0.27:   0%|          | 0/13 [02:14<00:01, 11.64it/s]
                                                                      

Validation Results - Epoch: 112 Metrics: mse: 0.294, avep: 0.870, top5: 0.870, frac_mc: 0.782, top1: 0.940, mae: 0.438, loss: 0.294

ITERATION - loss: 0.27:   0%|          | 0/13 [02:14<00:01, 11.64it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [02:14<00:01,  6.63it/s]
ITERATION - loss: 0.28:  54%|█████▍    | 7/13 [02:14<00:00,  8.73it/s]
ITERATION - loss: 0.23:  85%|████████▍ | 11/13 [02:14<00:00, 11.20it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [02:14<00:00, 11.20it/s]
                                                                       

Training Results - Epoch: 113 Metrics: mse: 0.271, avep: 0.879, top5: 0.877, frac_mc: 0.796, top1: 0.950, mae: 0.415, loss: 0.271

ITERATION - loss: 0.24:   0%|          | 0/13 [02:15<00:01, 11.20it/s]
                                                                      

Validation Results - Epoch: 113 Metrics: mse: 0.298, avep: 0.870, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.438, loss: 0.298

ITERATION - loss: 0.24:   0%|          | 0/13 [02:15<00:01, 11.20it/s]
ITERATION - loss: 0.32:  23%|██▎       | 3/13 [02:15<00:01,  6.39it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [02:15<00:00,  8.19it/s]
ITERATION - loss: 0.24:  77%|███████▋  | 10/13 [02:15<00:00, 10.54it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [02:15<00:00, 10.54it/s]
                                                                       

Training Results - Epoch: 114 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.416, loss: 0.270

ITERATION - loss: 0.26:   0%|          | 0/13 [02:16<00:01, 10.54it/s]
Validation Results - Epoch: 114 Metrics: mse: 0.294, avep: 0.870, top5: 0.870, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

                                                                      

ITERATION - loss: 0.26:   0%|          | 0/13 [02:16<00:01, 10.54it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [02:16<00:01,  6.01it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [02:17<00:00,  7.95it/s]
ITERATION - loss: 0.29:  77%|███████▋  | 10/13 [02:17<00:00, 10.00it/s]
ITERATION - loss: 0.39: 100%|██████████| 13/13 [02:17<00:00, 10.00it/s]
                                                                       

Training Results - Epoch: 115 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.796, top1: 0.950, mae: 0.415, loss: 0.270

ITERATION - loss: 0.39:   0%|          | 0/13 [02:17<00:01, 10.00it/s]
                                                                      

Validation Results - Epoch: 115 Metrics: mse: 0.295, avep: 0.870, top5: 0.870, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.295

ITERATION - loss: 0.39:   0%|          | 0/13 [02:17<00:01, 10.00it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:18<00:01,  6.08it/s]
ITERATION - loss: 0.26:  54%|█████▍    | 7/13 [02:18<00:00,  8.07it/s]
ITERATION - loss: 0.27:  85%|████████▍ | 11/13 [02:18<00:00, 10.48it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [02:18<00:00, 10.48it/s]
                                                                       

Training Results - Epoch: 116 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.416, loss: 0.270

ITERATION - loss: 0.28:   0%|          | 0/13 [02:18<00:01, 10.48it/s]
Validation Results - Epoch: 116 Metrics: mse: 0.293, avep: 0.870, top5: 0.870, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.293

                                                                      

ITERATION - loss: 0.28:   0%|          | 0/13 [02:19<00:01, 10.48it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:19<00:01,  6.16it/s]
ITERATION - loss: 0.26:  54%|█████▍    | 7/13 [02:19<00:00,  8.10it/s]
ITERATION - loss: 0.31:  77%|███████▋  | 10/13 [02:19<00:00, 10.37it/s]
ITERATION - loss: 0.24: 100%|██████████| 13/13 [02:19<00:00, 10.37it/s]
                                                                       

Training Results - Epoch: 117 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.24:   0%|          | 0/13 [02:20<00:01, 10.37it/s]
                                                                      

Validation Results - Epoch: 117 Metrics: mse: 0.294, avep: 0.870, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.24:   0%|          | 0/13 [02:20<00:01, 10.37it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [02:20<00:01,  6.12it/s]
ITERATION - loss: 0.25:  38%|███▊      | 5/13 [02:20<00:01,  7.67it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [02:20<00:00,  9.96it/s]
ITERATION - loss: 0.29:  92%|█████████▏| 12/13 [02:20<00:00, 12.24it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [02:20<00:00, 12.24it/s]
                                                                       

Training Results - Epoch: 118 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.23:   0%|          | 0/13 [02:21<00:01, 12.24it/s]
                                                                      

Validation Results - Epoch: 118 Metrics: mse: 0.294, avep: 0.870, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.23:   0%|          | 0/13 [02:21<00:01, 12.24it/s]
ITERATION - loss: 0.34:  23%|██▎       | 3/13 [02:21<00:01,  6.84it/s]
ITERATION - loss: 0.25:  46%|████▌     | 6/13 [02:21<00:00,  8.69it/s]
ITERATION - loss: 0.29:  77%|███████▋  | 10/13 [02:21<00:00, 11.10it/s]
ITERATION - loss: 0.33: 100%|██████████| 13/13 [02:22<00:00, 11.10it/s]
                                                                       

Training Results - Epoch: 119 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.270

ITERATION - loss: 0.33:   0%|          | 0/13 [02:22<00:01, 11.10it/s]
                                                                      

Validation Results - Epoch: 119 Metrics: mse: 0.295, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.295

ITERATION - loss: 0.33:   0%|          | 0/13 [02:22<00:01, 11.10it/s]
ITERATION - loss: 0.28:  23%|██▎       | 3/13 [02:22<00:01,  6.34it/s]
ITERATION - loss: 0.31:  54%|█████▍    | 7/13 [02:23<00:00,  8.32it/s]
ITERATION - loss: 0.24:  77%|███████▋  | 10/13 [02:23<00:00, 10.27it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [02:23<00:00, 10.27it/s]
                                                                       

Training Results - Epoch: 120 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.27:   0%|          | 0/13 [02:23<00:01, 10.27it/s]
Validation Results - Epoch: 120 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

                                                                      

ITERATION - loss: 0.27:   0%|          | 0/13 [02:23<00:01, 10.27it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [02:24<00:01,  6.18it/s]
ITERATION - loss: 0.29:  46%|████▌     | 6/13 [02:24<00:00,  8.01it/s]
ITERATION - loss: 0.27:  77%|███████▋  | 10/13 [02:24<00:00, 10.39it/s]
ITERATION - loss: 0.30: 100%|██████████| 13/13 [02:24<00:00, 10.39it/s]
Training Results - Epoch: 121 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.416, loss: 0.270

                                                                       

ITERATION - loss: 0.30:   0%|          | 0/13 [02:25<00:01, 10.39it/s]
Validation Results - Epoch: 121 Metrics: mse: 0.293, avep: 0.870, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.293

                                                                      

ITERATION - loss: 0.30:   0%|          | 0/13 [02:25<00:01, 10.39it/s]
ITERATION - loss: 0.36:  23%|██▎       | 3/13 [02:25<00:01,  6.15it/s]
ITERATION - loss: 0.30:  46%|████▌     | 6/13 [02:25<00:00,  8.07it/s]
ITERATION - loss: 0.27:  69%|██████▉   | 9/13 [02:25<00:00, 10.08it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:25<00:00, 12.84it/s]
ITERATION - loss: 0.19: 100%|██████████| 13/13 [02:25<00:00, 12.84it/s]
                                                                       

Training Results - Epoch: 122 Metrics: mse: 0.270, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.948, mae: 0.414, loss: 0.270

ITERATION - loss: 0.19:   0%|          | 0/13 [02:26<00:01, 12.84it/s]
                                                                      

Validation Results - Epoch: 122 Metrics: mse: 0.296, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.296

ITERATION - loss: 0.19:   0%|          | 0/13 [02:26<00:01, 12.84it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [02:26<00:01,  7.03it/s]
ITERATION - loss: 0.24:  54%|█████▍    | 7/13 [02:26<00:00,  9.18it/s]
ITERATION - loss: 0.29:  85%|████████▍ | 11/13 [02:26<00:00, 11.74it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [02:26<00:00, 11.74it/s]
                                                                       

Training Results - Epoch: 123 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.28:   0%|          | 0/13 [02:27<00:01, 11.74it/s]
                                                                      

Validation Results - Epoch: 123 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.28:   0%|          | 0/13 [02:27<00:01, 11.74it/s]
ITERATION - loss: 0.21:  23%|██▎       | 3/13 [02:27<00:01,  6.66it/s]
ITERATION - loss: 0.22:  54%|█████▍    | 7/13 [02:27<00:00,  8.63it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [02:27<00:00, 10.79it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [02:28<00:00, 13.31it/s]
ITERATION - loss: 0.28: 100%|██████████| 13/13 [02:28<00:00, 13.31it/s]
                                                                       

Training Results - Epoch: 124 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.28:   0%|          | 0/13 [02:28<00:00, 13.31it/s]
                                                                      

Validation Results - Epoch: 124 Metrics: mse: 0.293, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.293

ITERATION - loss: 0.28:   0%|          | 0/13 [02:28<00:00, 13.31it/s]
ITERATION - loss: 0.24:  23%|██▎       | 3/13 [02:28<00:01,  7.04it/s]
ITERATION - loss: 0.29:  54%|█████▍    | 7/13 [02:29<00:00,  9.15it/s]
ITERATION - loss: 0.25:  77%|███████▋  | 10/13 [02:29<00:00, 11.29it/s]
ITERATION - loss: 0.27: 100%|██████████| 13/13 [02:29<00:00, 11.29it/s]
                                                                       

Training Results - Epoch: 125 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.948, mae: 0.414, loss: 0.269

ITERATION - loss: 0.27:   0%|          | 0/13 [02:29<00:01, 11.29it/s]
                                                                      

Validation Results - Epoch: 125 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.27:   0%|          | 0/13 [02:29<00:01, 11.29it/s]
ITERATION - loss: 0.24:  23%|██▎       | 3/13 [02:30<00:01,  6.56it/s]
ITERATION - loss: 0.22:  46%|████▌     | 6/13 [02:30<00:00,  8.48it/s]
ITERATION - loss: 0.33:  77%|███████▋  | 10/13 [02:30<00:00, 10.91it/s]
ITERATION - loss: 0.23: 100%|██████████| 13/13 [02:30<00:00, 10.91it/s]
Training Results - Epoch: 126 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

                                                                       

ITERATION - loss: 0.23:   0%|          | 0/13 [02:31<00:01, 10.91it/s]
                                                                      

Validation Results - Epoch: 126 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.23:   0%|          | 0/13 [02:31<00:01, 10.91it/s]
ITERATION - loss: 0.26:  23%|██▎       | 3/13 [02:31<00:01,  5.85it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [02:31<00:00,  7.64it/s]
ITERATION - loss: 0.28:  77%|███████▋  | 10/13 [02:31<00:00,  9.95it/s]
ITERATION - loss: 0.31: 100%|██████████| 13/13 [02:31<00:00,  9.95it/s]
                                                                       

Training Results - Epoch: 127 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.31:   0%|          | 0/13 [02:32<00:01,  9.95it/s]
                                                                      

Validation Results - Epoch: 127 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.31:   0%|          | 0/13 [02:32<00:01,  9.95it/s]
ITERATION - loss: 0.29:  23%|██▎       | 3/13 [02:32<00:01,  6.08it/s]
ITERATION - loss: 0.26:  46%|████▌     | 6/13 [02:32<00:00,  7.94it/s]
ITERATION - loss: 0.25:  69%|██████▉   | 9/13 [02:32<00:00,  9.96it/s]
ITERATION - loss: 0.31:  92%|█████████▏| 12/13 [02:32<00:00, 12.06it/s]
ITERATION - loss: 0.26: 100%|██████████| 13/13 [02:32<00:00, 12.06it/s]
Training Results - Epoch: 128 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

                                                                       

ITERATION - loss: 0.26:   0%|          | 0/13 [02:33<00:01, 12.06it/s]
Validation Results - Epoch: 128 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

                                                                      

ITERATION - loss: 0.26:   0%|          | 0/13 [02:33<00:01, 12.06it/s]
ITERATION - loss: 0.25:  23%|██▎       | 3/13 [02:33<00:01,  6.58it/s]
ITERATION - loss: 0.28:  46%|████▌     | 6/13 [02:33<00:00,  8.58it/s]
ITERATION - loss: 0.26:  77%|███████▋  | 10/13 [02:34<00:00, 11.02it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [02:34<00:00, 13.39it/s]
ITERATION - loss: 0.32: 100%|██████████| 13/13 [02:34<00:00, 13.39it/s]
                                                                       

Training Results - Epoch: 129 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.32:   0%|          | 0/13 [02:34<00:00, 13.39it/s]
Validation Results - Epoch: 129 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

                                                                      

ITERATION - loss: 0.32:   0%|          | 0/13 [02:34<00:00, 13.39it/s]
ITERATION - loss: 0.27:  23%|██▎       | 3/13 [02:35<00:01,  7.24it/s]
ITERATION - loss: 0.24:  46%|████▌     | 6/13 [02:35<00:00,  9.37it/s]
ITERATION - loss: 0.28:  69%|██████▉   | 9/13 [02:35<00:00, 11.59it/s]
ITERATION - loss: 0.29: 100%|██████████| 13/13 [02:35<00:00, 14.55it/s]
ITERATION - loss: 0.29: 100%|██████████| 13/13 [02:35<00:00, 14.55it/s]
                                                                       

Training Results - Epoch: 130 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.414, loss: 0.269

ITERATION - loss: 0.29:   0%|          | 0/13 [02:35<00:00, 14.55it/s]
                                                                      

Validation Results - Epoch: 130 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

ITERATION - loss: 0.29:   0%|          | 0/13 [02:36<00:00, 14.55it/s]
ITERATION - loss: 0.30:  23%|██▎       | 3/13 [02:36<00:01,  7.25it/s]
ITERATION - loss: 0.28:  54%|█████▍    | 7/13 [02:36<00:00,  9.45it/s]
ITERATION - loss: 0.30:  77%|███████▋  | 10/13 [02:36<00:00, 11.69it/s]
ITERATION - loss: 0.37: 100%|██████████| 13/13 [02:36<00:00, 11.69it/s]
                                                                       

Training Results - Epoch: 131 Metrics: mse: 0.269, avep: 0.879, top5: 0.877, frac_mc: 0.795, top1: 0.950, mae: 0.415, loss: 0.269

ITERATION - loss: 0.37:   0%|          | 0/13 [02:37<00:01, 11.69it/s]
Validation Results - Epoch: 131 Metrics: mse: 0.294, avep: 0.871, top5: 0.872, frac_mc: 0.783, top1: 0.940, mae: 0.437, loss: 0.294

                                                                      

ITERATION - loss: 0.37:   0%|          | 0/13 [02:37<00:01, 11.69it/s]
                                                                      
mse: 0.294
avep: 0.871
top5: 0.872
frac_mc: 0.783
top1: 0.940
mae: 0.437
loss: 0.294
