
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: 66.809, avep: 0.970, top5: 0.970, frac_mc: 0.938, top1: 0.998, mae: 7.417, loss: 66.809

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

Validation Results - Epoch: 0 Metrics: mse: 63.030, avep: 0.955, top5: 0.960, frac_mc: 0.915, top1: 0.990, mae: 7.251, loss: 63.030

ITERATION - loss: 0.00:   0%|          | 0/13 [00:00<?, ?it/s]
ITERATION - loss: 61.87:   8%|▊         | 1/13 [00:00<00:11,  1.07it/s]
ITERATION - loss: 12.92:  23%|██▎       | 3/13 [00:01<00:06,  1.49it/s]
ITERATION - loss: 5.52:  46%|████▌     | 6/13 [00:01<00:03,  2.06it/s] 
ITERATION - loss: 2.34:  69%|██████▉   | 9/13 [00:01<00:01,  2.83it/s]
ITERATION - loss: 4.62:  92%|█████████▏| 12/13 [00:01<00:00,  3.84it/s]
ITERATION - loss: 4.60: 100%|██████████| 13/13 [00:01<00:00,  3.84it/s]
                                                                       

ITERATION - loss: 4.60:   0%|          | 0/13 [00:02<00:03,  3.84it/s]
Training Results - Epoch: 1 Metrics: mse: 3.944, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.696, loss: 3.944

                                                                      

ITERATION - loss: 4.60:   0%|          | 0/13 [00:02<00:03,  3.84it/s]
Validation Results - Epoch: 1 Metrics: mse: 3.833, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.677, loss: 3.833

ITERATION - loss: 2.23:  15%|█▌        | 2/13 [00:02<00:03,  3.10it/s]
ITERATION - loss: 2.04:  38%|███▊      | 5/13 [00:02<00:01,  4.18it/s]
ITERATION - loss: 3.44:  62%|██████▏   | 8/13 [00:02<00:00,  5.60it/s]
ITERATION - loss: 1.56:  85%|████████▍ | 11/13 [00:02<00:00,  7.16it/s]
ITERATION - loss: 2.41: 100%|██████████| 13/13 [00:02<00:00,  7.16it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 2.325, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.256, loss: 2.325

ITERATION - loss: 2.41:   0%|          | 0/13 [00:03<00:01,  7.16it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 2.300, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.257, loss: 2.300

ITERATION - loss: 2.41:   0%|          | 0/13 [00:03<00:01,  7.16it/s]
ITERATION - loss: 2.05:  15%|█▌        | 2/13 [00:03<00:02,  4.21it/s]
ITERATION - loss: 1.86:  31%|███       | 4/13 [00:03<00:01,  5.45it/s]
ITERATION - loss: 1.52:  54%|█████▍    | 7/13 [00:03<00:00,  7.11it/s]
ITERATION - loss: 1.55:  77%|███████▋  | 10/13 [00:04<00:00,  8.89it/s]
ITERATION - loss: 1.37: 100%|██████████| 13/13 [00:04<00:00, 11.09it/s]
ITERATION - loss: 1.37: 100%|██████████| 13/13 [00:04<00:00, 11.09it/s]
                                                                       

Training Results - Epoch: 3 Metrics: mse: 1.594, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.015, loss: 1.594

ITERATION - loss: 1.37:   0%|          | 0/13 [00:04<00:01, 11.09it/s]
Validation Results - Epoch: 3 Metrics: mse: 1.602, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.019, loss: 1.602

                                                                      

ITERATION - loss: 1.37:   0%|          | 0/13 [00:05<00:01, 11.09it/s]
ITERATION - loss: 1.84:  23%|██▎       | 3/13 [00:05<00:01,  6.30it/s]
ITERATION - loss: 1.21:  46%|████▌     | 6/13 [00:05<00:00,  8.16it/s]
ITERATION - loss: 1.44:  69%|██████▉   | 9/13 [00:05<00:00, 10.05it/s]
ITERATION - loss: 1.77:  92%|█████████▏| 12/13 [00:05<00:00, 12.09it/s]
ITERATION - loss: 1.09: 100%|██████████| 13/13 [00:05<00:00, 12.09it/s]
                                                                       

Training Results - Epoch: 4 Metrics: mse: 1.532, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.987, loss: 1.532

ITERATION - loss: 1.09:   0%|          | 0/13 [00:06<00:01, 12.09it/s]
                                                                      

Validation Results - Epoch: 4 Metrics: mse: 1.539, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.994, loss: 1.539

ITERATION - loss: 1.09:   0%|          | 0/13 [00:06<00:01, 12.09it/s]
ITERATION - loss: 1.59:  23%|██▎       | 3/13 [00:06<00:01,  6.55it/s]
ITERATION - loss: 1.80:  46%|████▌     | 6/13 [00:06<00:00,  8.48it/s]
ITERATION - loss: 1.32:  69%|██████▉   | 9/13 [00:06<00:00, 10.29it/s]
ITERATION - loss: 1.86:  92%|█████████▏| 12/13 [00:06<00:00, 12.49it/s]
ITERATION - loss: 1.29: 100%|██████████| 13/13 [00:06<00:00, 12.49it/s]
Training Results - Epoch: 5 Metrics: mse: 1.632, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.011, loss: 1.632

                                                                       

ITERATION - loss: 1.29:   0%|          | 0/13 [00:07<00:01, 12.49it/s]
                                                                      

Validation Results - Epoch: 5 Metrics: mse: 1.629, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.017, loss: 1.629

ITERATION - loss: 1.29:   0%|          | 0/13 [00:07<00:01, 12.49it/s]
ITERATION - loss: 1.48:  23%|██▎       | 3/13 [00:07<00:01,  6.53it/s]
ITERATION - loss: 1.53:  46%|████▌     | 6/13 [00:07<00:00,  8.31it/s]
ITERATION - loss: 1.89:  62%|██████▏   | 8/13 [00:08<00:00, 10.03it/s]
ITERATION - loss: 1.46:  85%|████████▍ | 11/13 [00:08<00:00, 12.33it/s]
ITERATION - loss: 1.21: 100%|██████████| 13/13 [00:08<00:00, 12.33it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 1.531, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.985, loss: 1.531

ITERATION - loss: 1.21:   0%|          | 0/13 [00:08<00:01, 12.33it/s]
                                                                      

Validation Results - Epoch: 6 Metrics: mse: 1.538, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.993, loss: 1.538

ITERATION - loss: 1.21:   0%|          | 0/13 [00:09<00:01, 12.33it/s]
ITERATION - loss: 1.83:  23%|██▎       | 3/13 [00:09<00:01,  6.37it/s]
ITERATION - loss: 1.72:  46%|████▌     | 6/13 [00:09<00:00,  8.02it/s]
ITERATION - loss: 1.80:  62%|██████▏   | 8/13 [00:09<00:00,  9.57it/s]
ITERATION - loss: 1.54:  85%|████████▍ | 11/13 [00:09<00:00, 11.87it/s]
ITERATION - loss: 1.73: 100%|██████████| 13/13 [00:09<00:00, 11.87it/s]
                                                                       

Training Results - Epoch: 7 Metrics: mse: 1.539, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.986, loss: 1.539

ITERATION - loss: 1.73:   0%|          | 0/13 [00:10<00:01, 11.87it/s]
                                                                      

Validation Results - Epoch: 7 Metrics: mse: 1.546, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.994, loss: 1.546

ITERATION - loss: 1.73:   0%|          | 0/13 [00:10<00:01, 11.87it/s]
ITERATION - loss: 1.47:  23%|██▎       | 3/13 [00:10<00:01,  6.39it/s]
ITERATION - loss: 1.48:  46%|████▌     | 6/13 [00:10<00:00,  8.29it/s]
ITERATION - loss: 1.69:  62%|██████▏   | 8/13 [00:10<00:00,  9.98it/s]
ITERATION - loss: 1.63:  85%|████████▍ | 11/13 [00:10<00:00, 12.19it/s]
ITERATION - loss: 1.73: 100%|██████████| 13/13 [00:10<00:00, 12.19it/s]
                                                                       

Training Results - Epoch: 8 Metrics: mse: 1.531, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.985, loss: 1.531

ITERATION - loss: 1.73:   0%|          | 0/13 [00:11<00:01, 12.19it/s]
                                                                      

Validation Results - Epoch: 8 Metrics: mse: 1.539, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.992, loss: 1.539

ITERATION - loss: 1.73:   0%|          | 0/13 [00:11<00:01, 12.19it/s]
ITERATION - loss: 1.66:  23%|██▎       | 3/13 [00:11<00:01,  6.34it/s]
ITERATION - loss: 1.32:  46%|████▌     | 6/13 [00:12<00:00,  8.17it/s]
ITERATION - loss: 1.18:  62%|██████▏   | 8/13 [00:12<00:00,  9.79it/s]
ITERATION - loss: 2.06:  85%|████████▍ | 11/13 [00:12<00:00, 12.22it/s]
ITERATION - loss: 1.86: 100%|██████████| 13/13 [00:12<00:00, 12.22it/s]
                                                                       

ITERATION - loss: 1.86:   0%|          | 0/13 [00:12<00:01, 12.22it/s]
Training Results - Epoch: 9 Metrics: mse: 1.625, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.026, loss: 1.625

                                                                      

ITERATION - loss: 1.86:   0%|          | 0/13 [00:13<00:01, 12.22it/s]
Validation Results - Epoch: 9 Metrics: mse: 1.632, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.030, loss: 1.632

ITERATION - loss: 1.91:  23%|██▎       | 3/13 [00:13<00:01,  6.20it/s]
ITERATION - loss: 1.57:  46%|████▌     | 6/13 [00:13<00:00,  7.94it/s]
ITERATION - loss: 1.28:  62%|██████▏   | 8/13 [00:13<00:00,  9.59it/s]
ITERATION - loss: 1.53:  85%|████████▍ | 11/13 [00:13<00:00, 11.84it/s]
ITERATION - loss: 1.73: 100%|██████████| 13/13 [00:13<00:00, 11.84it/s]
                                                                       

ITERATION - loss: 1.73:   0%|          | 0/13 [00:14<00:01, 11.84it/s]
Training Results - Epoch: 10 Metrics: mse: 1.525, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.983, loss: 1.525

                                                                      

Validation Results - Epoch: 10 Metrics: mse: 1.535, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.991, loss: 1.535

ITERATION - loss: 1.73:   0%|          | 0/13 [00:14<00:01, 11.84it/s]
ITERATION - loss: 1.77:  23%|██▎       | 3/13 [00:14<00:01,  6.45it/s]
ITERATION - loss: 1.24:  46%|████▌     | 6/13 [00:14<00:00,  8.36it/s]
ITERATION - loss: 2.31:  62%|██████▏   | 8/13 [00:14<00:00, 10.11it/s]
ITERATION - loss: 1.44:  85%|████████▍ | 11/13 [00:14<00:00, 12.52it/s]
ITERATION - loss: 1.68: 100%|██████████| 13/13 [00:14<00:00, 12.52it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 1.531, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.984, loss: 1.531

ITERATION - loss: 1.68:   0%|          | 0/13 [00:15<00:01, 12.52it/s]
                                                                      

Validation Results - Epoch: 11 Metrics: mse: 1.540, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.991, loss: 1.540

ITERATION - loss: 1.68:   0%|          | 0/13 [00:15<00:01, 12.52it/s]
ITERATION - loss: 1.48:  23%|██▎       | 3/13 [00:15<00:01,  6.42it/s]
ITERATION - loss: 1.43:  46%|████▌     | 6/13 [00:16<00:00,  8.29it/s]
ITERATION - loss: 1.76:  62%|██████▏   | 8/13 [00:16<00:00, 10.05it/s]
ITERATION - loss: 1.56:  77%|███████▋  | 10/13 [00:16<00:00, 11.81it/s]
ITERATION - loss: 2.18: 100%|██████████| 13/13 [00:16<00:00, 11.81it/s]
                                                                       

Training Results - Epoch: 12 Metrics: mse: 1.588, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.012, loss: 1.588

ITERATION - loss: 2.18:   0%|          | 0/13 [00:16<00:01, 11.81it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 1.597, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.016, loss: 1.597

ITERATION - loss: 2.18:   0%|          | 0/13 [00:17<00:01, 11.81it/s]
ITERATION - loss: 1.59:  15%|█▌        | 2/13 [00:17<00:02,  4.96it/s]
ITERATION - loss: 2.09:  31%|███       | 4/13 [00:17<00:01,  6.39it/s]
ITERATION - loss: 1.63:  54%|█████▍    | 7/13 [00:17<00:00,  8.10it/s]
ITERATION - loss: 0.99:  77%|███████▋  | 10/13 [00:17<00:00, 10.15it/s]
ITERATION - loss: 1.47: 100%|██████████| 13/13 [00:17<00:00, 10.15it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 1.521, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.983, loss: 1.521

ITERATION - loss: 1.47:   0%|          | 0/13 [00:18<00:01, 10.15it/s]
                                                                      

Validation Results - Epoch: 13 Metrics: mse: 1.532, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.990, loss: 1.532

ITERATION - loss: 1.47:   0%|          | 0/13 [00:18<00:01, 10.15it/s]
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ITERATION - loss: 1.75:  38%|███▊      | 5/13 [00:18<00:01,  6.02it/s]
ITERATION - loss: 1.56:  54%|█████▍    | 7/13 [00:18<00:00,  7.61it/s]
ITERATION - loss: 1.62:  77%|███████▋  | 10/13 [00:18<00:00,  9.72it/s]
ITERATION - loss: 1.33: 100%|██████████| 13/13 [00:18<00:00,  9.72it/s]
                                                                       

Training Results - Epoch: 14 Metrics: mse: 1.548, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.996, loss: 1.548

ITERATION - loss: 1.33:   0%|          | 0/13 [00:19<00:01,  9.72it/s]
                                                                      

Validation Results - Epoch: 14 Metrics: mse: 1.559, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.001, loss: 1.559

ITERATION - loss: 1.33:   0%|          | 0/13 [00:19<00:01,  9.72it/s]
ITERATION - loss: 1.11:  23%|██▎       | 3/13 [00:19<00:01,  5.77it/s]
ITERATION - loss: 1.51:  46%|████▌     | 6/13 [00:19<00:00,  7.55it/s]
ITERATION - loss: 1.90:  62%|██████▏   | 8/13 [00:20<00:00,  9.04it/s]
ITERATION - loss: 1.61:  85%|████████▍ | 11/13 [00:20<00:00, 11.17it/s]
ITERATION - loss: 1.41: 100%|██████████| 13/13 [00:20<00:00, 11.17it/s]
                                                                       

Training Results - Epoch: 15 Metrics: mse: 1.534, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.991, loss: 1.534

ITERATION - loss: 1.41:   0%|          | 0/13 [00:20<00:01, 11.17it/s]
                                                                      

Validation Results - Epoch: 15 Metrics: mse: 1.546, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.996, loss: 1.546

ITERATION - loss: 1.41:   0%|          | 0/13 [00:21<00:01, 11.17it/s]
ITERATION - loss: 1.57:  23%|██▎       | 3/13 [00:21<00:01,  6.13it/s]
ITERATION - loss: 1.78:  38%|███▊      | 5/13 [00:21<00:01,  7.69it/s]
ITERATION - loss: 1.32:  54%|█████▍    | 7/13 [00:21<00:00,  9.10it/s]
ITERATION - loss: 1.04:  77%|███████▋  | 10/13 [00:21<00:00, 11.38it/s]
ITERATION - loss: 1.45: 100%|██████████| 13/13 [00:21<00:00, 13.69it/s]
ITERATION - loss: 1.45: 100%|██████████| 13/13 [00:21<00:00, 13.69it/s]
                                                                       

Training Results - Epoch: 16 Metrics: mse: 1.532, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.990, loss: 1.532

ITERATION - loss: 1.45:   0%|          | 0/13 [00:22<00:00, 13.69it/s]
Validation Results - Epoch: 16 Metrics: mse: 1.544, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.995, loss: 1.544

                                                                      

ITERATION - loss: 1.45:   0%|          | 0/13 [00:22<00:00, 13.69it/s]
ITERATION - loss: 1.58:  23%|██▎       | 3/13 [00:22<00:01,  6.93it/s]
ITERATION - loss: 1.44:  46%|████▌     | 6/13 [00:22<00:00,  8.67it/s]
ITERATION - loss: 1.30:  69%|██████▉   | 9/13 [00:22<00:00, 10.93it/s]
ITERATION - loss: 1.25:  92%|█████████▏| 12/13 [00:22<00:00, 13.15it/s]
ITERATION - loss: 1.22: 100%|██████████| 13/13 [00:23<00:00, 13.15it/s]
Training Results - Epoch: 17 Metrics: mse: 1.518, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.980, loss: 1.518

                                                                       

ITERATION - loss: 1.22:   0%|          | 0/13 [00:23<00:00, 13.15it/s]
                                                                      

Validation Results - Epoch: 17 Metrics: mse: 1.531, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.988, loss: 1.531

ITERATION - loss: 1.22:   0%|          | 0/13 [00:23<00:00, 13.15it/s]
ITERATION - loss: 1.10:  23%|██▎       | 3/13 [00:23<00:01,  6.56it/s]
ITERATION - loss: 1.39:  38%|███▊      | 5/13 [00:24<00:00,  8.14it/s]
ITERATION - loss: 1.37:  62%|██████▏   | 8/13 [00:24<00:00, 10.27it/s]
ITERATION - loss: 1.65:  85%|████████▍ | 11/13 [00:24<00:00, 12.53it/s]
ITERATION - loss: 1.76: 100%|██████████| 13/13 [00:24<00:00, 12.53it/s]
Training Results - Epoch: 18 Metrics: mse: 1.520, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.980, loss: 1.520

                                                                       

ITERATION - loss: 1.76:   0%|          | 0/13 [00:25<00:01, 12.53it/s]
                                                                      

Validation Results - Epoch: 18 Metrics: mse: 1.532, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.988, loss: 1.532

ITERATION - loss: 1.76:   0%|          | 0/13 [00:25<00:01, 12.53it/s]
ITERATION - loss: 1.44:  23%|██▎       | 3/13 [00:25<00:01,  6.33it/s]
ITERATION - loss: 1.79:  46%|████▌     | 6/13 [00:25<00:00,  8.04it/s]
ITERATION - loss: 1.51:  69%|██████▉   | 9/13 [00:25<00:00, 10.21it/s]
ITERATION - loss: 1.59:  92%|█████████▏| 12/13 [00:25<00:00, 12.55it/s]
ITERATION - loss: 1.24: 100%|██████████| 13/13 [00:25<00:00, 12.55it/s]
                                                                       

Training Results - Epoch: 19 Metrics: mse: 1.559, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 1.001, loss: 1.559

ITERATION - loss: 1.24:   0%|          | 0/13 [00:26<00:01, 12.55it/s]
Validation Results - Epoch: 19 Metrics: mse: 1.571, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.005, loss: 1.571

                                                                      

ITERATION - loss: 1.24:   0%|          | 0/13 [00:26<00:01, 12.55it/s]
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ITERATION - loss: 1.83:  69%|██████▉   | 9/13 [00:26<00:00, 10.46it/s]
ITERATION - loss: 1.11:  92%|█████████▏| 12/13 [00:27<00:00, 12.66it/s]
ITERATION - loss: 1.24: 100%|██████████| 13/13 [00:27<00:00, 12.66it/s]
Training Results - Epoch: 20 Metrics: mse: 1.546, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.985, loss: 1.546

                                                                       

ITERATION - loss: 1.24:   0%|          | 0/13 [00:27<00:01, 12.66it/s]
Validation Results - Epoch: 20 Metrics: mse: 1.557, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.994, loss: 1.557

                                                                      

ITERATION - loss: 1.24:   0%|          | 0/13 [00:27<00:01, 12.66it/s]
ITERATION - loss: 1.62:  23%|██▎       | 3/13 [00:27<00:01,  6.67it/s]
ITERATION - loss: 1.82:  46%|████▌     | 6/13 [00:28<00:00,  8.60it/s]
ITERATION - loss: 1.88:  62%|██████▏   | 8/13 [00:28<00:00, 10.28it/s]
ITERATION - loss: 1.46:  85%|████████▍ | 11/13 [00:28<00:00, 12.61it/s]
ITERATION - loss: 1.38: 100%|██████████| 13/13 [00:28<00:00, 12.61it/s]
                                                                       

Training Results - Epoch: 21 Metrics: mse: 1.514, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.981, loss: 1.514

ITERATION - loss: 1.38:   0%|          | 0/13 [00:29<00:01, 12.61it/s]
Validation Results - Epoch: 21 Metrics: mse: 1.528, avep: 0.953, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.987, loss: 1.528

                                                                      

ITERATION - loss: 1.38:   0%|          | 0/13 [00:29<00:01, 12.61it/s]
ITERATION - loss: 1.64:  23%|██▎       | 3/13 [00:29<00:01,  6.44it/s]
ITERATION - loss: 1.36:  46%|████▌     | 6/13 [00:29<00:00,  8.31it/s]
ITERATION - loss: 2.04:  62%|██████▏   | 8/13 [00:29<00:00, 10.01it/s]
ITERATION - loss: 1.45:  85%|████████▍ | 11/13 [00:29<00:00, 12.32it/s]
ITERATION - loss: 1.05: 100%|██████████| 13/13 [00:29<00:00, 12.32it/s]
                                                                       

Training Results - Epoch: 22 Metrics: mse: 1.539, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.993, loss: 1.539

ITERATION - loss: 1.05:   0%|          | 0/13 [00:30<00:01, 12.32it/s]
                                                                      

Validation Results - Epoch: 22 Metrics: mse: 1.552, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.997, loss: 1.552

ITERATION - loss: 1.05:   0%|          | 0/13 [00:30<00:01, 12.32it/s]
ITERATION - loss: 2.11:  23%|██▎       | 3/13 [00:30<00:01,  6.39it/s]
ITERATION - loss: 1.40:  46%|████▌     | 6/13 [00:30<00:00,  8.23it/s]
ITERATION - loss: 1.83:  69%|██████▉   | 9/13 [00:30<00:00, 10.17it/s]
ITERATION - loss: 1.63:  92%|█████████▏| 12/13 [00:30<00:00, 12.37it/s]
ITERATION - loss: 1.13: 100%|██████████| 13/13 [00:31<00:00, 12.37it/s]
                                                                       

Training Results - Epoch: 23 Metrics: mse: 1.511, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.977, loss: 1.511

ITERATION - loss: 1.13:   0%|          | 0/13 [00:31<00:01, 12.37it/s]
                                                                      

Validation Results - Epoch: 23 Metrics: mse: 1.526, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.985, loss: 1.526

ITERATION - loss: 1.13:   0%|          | 0/13 [00:31<00:01, 12.37it/s]
ITERATION - loss: 1.37:  23%|██▎       | 3/13 [00:31<00:01,  6.53it/s]
ITERATION - loss: 2.11:  46%|████▌     | 6/13 [00:32<00:00,  8.24it/s]
ITERATION - loss: 1.27:  69%|██████▉   | 9/13 [00:32<00:00, 10.07it/s]
ITERATION - loss: 1.39:  92%|█████████▏| 12/13 [00:32<00:00, 12.19it/s]
ITERATION - loss: 1.23: 100%|██████████| 13/13 [00:32<00:00, 12.19it/s]
Training Results - Epoch: 24 Metrics: mse: 1.548, avep: 0.968, top5: 0.969, frac_mc: 0.932, top1: 1.000, mae: 0.985, loss: 1.548

                                                                       

ITERATION - loss: 1.23:   0%|          | 0/13 [00:33<00:01, 12.19it/s]
Validation Results - Epoch: 24 Metrics: mse: 1.561, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.994, loss: 1.561

                                                                      

ITERATION - loss: 1.23:   0%|          | 0/13 [00:33<00:01, 12.19it/s]
ITERATION - loss: 1.67:  23%|██▎       | 3/13 [00:33<00:01,  6.56it/s]
ITERATION - loss: 1.57:  46%|████▌     | 6/13 [00:33<00:00,  8.35it/s]
ITERATION - loss: 1.18:  69%|██████▉   | 9/13 [00:33<00:00, 10.44it/s]
ITERATION - loss: 1.98:  92%|█████████▏| 12/13 [00:33<00:00, 12.32it/s]
ITERATION - loss: 1.80: 100%|██████████| 13/13 [00:33<00:00, 12.32it/s]
                                                                       

Training Results - Epoch: 25 Metrics: mse: 1.609, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 1.019, loss: 1.609

ITERATION - loss: 1.80:   0%|          | 0/13 [00:34<00:01, 12.32it/s]
                                                                      

Validation Results - Epoch: 25 Metrics: mse: 1.618, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.023, loss: 1.618

ITERATION - loss: 1.80:   0%|          | 0/13 [00:34<00:01, 12.32it/s]
ITERATION - loss: 1.66:  23%|██▎       | 3/13 [00:34<00:01,  6.27it/s]
ITERATION - loss: 1.18:  46%|████▌     | 6/13 [00:34<00:00,  8.06it/s]
ITERATION - loss: 1.72:  69%|██████▉   | 9/13 [00:34<00:00, 10.29it/s]
ITERATION - loss: 1.24:  92%|█████████▏| 12/13 [00:35<00:00, 12.19it/s]
ITERATION - loss: 1.19: 100%|██████████| 13/13 [00:35<00:00, 12.19it/s]
Training Results - Epoch: 26 Metrics: mse: 1.536, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.982, loss: 1.536

                                                                       

ITERATION - loss: 1.19:   0%|          | 0/13 [00:35<00:01, 12.19it/s]
                                                                      

Validation Results - Epoch: 26 Metrics: mse: 1.551, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.991, loss: 1.551

ITERATION - loss: 1.19:   0%|          | 0/13 [00:35<00:01, 12.19it/s]
ITERATION - loss: 1.08:  23%|██▎       | 3/13 [00:36<00:01,  6.71it/s]
ITERATION - loss: 1.40:  38%|███▊      | 5/13 [00:36<00:00,  8.35it/s]
ITERATION - loss: 1.95:  62%|██████▏   | 8/13 [00:36<00:00, 10.40it/s]
ITERATION - loss: 1.88:  85%|████████▍ | 11/13 [00:36<00:00, 12.75it/s]
ITERATION - loss: 2.65: 100%|██████████| 13/13 [00:36<00:00, 12.75it/s]
                                                                       

Training Results - Epoch: 27 Metrics: mse: 1.507, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.977, loss: 1.507

ITERATION - loss: 2.65:   0%|          | 0/13 [00:37<00:01, 12.75it/s]
                                                                      

Validation Results - Epoch: 27 Metrics: mse: 1.523, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.984, loss: 1.523

ITERATION - loss: 2.65:   0%|          | 0/13 [00:37<00:01, 12.75it/s]
ITERATION - loss: 2.12:  23%|██▎       | 3/13 [00:37<00:01,  6.37it/s]
ITERATION - loss: 1.84:  38%|███▊      | 5/13 [00:37<00:01,  7.89it/s]
ITERATION - loss: 1.54:  62%|██████▏   | 8/13 [00:37<00:00,  9.75it/s]
ITERATION - loss: 1.52:  85%|████████▍ | 11/13 [00:37<00:00, 11.93it/s]
ITERATION - loss: 1.80: 100%|██████████| 13/13 [00:37<00:00, 11.93it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 1.561, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 1.001, loss: 1.561

ITERATION - loss: 1.80:   0%|          | 0/13 [00:38<00:01, 11.93it/s]
                                                                      

Validation Results - Epoch: 28 Metrics: mse: 1.574, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 1.005, loss: 1.574

ITERATION - loss: 1.80:   0%|          | 0/13 [00:38<00:01, 11.93it/s]
ITERATION - loss: 1.52:  23%|██▎       | 3/13 [00:38<00:01,  6.34it/s]
ITERATION - loss: 1.80:  38%|███▊      | 5/13 [00:38<00:01,  7.92it/s]
ITERATION - loss: 1.35:  62%|██████▏   | 8/13 [00:38<00:00,  9.80it/s]
ITERATION - loss: 1.68:  85%|████████▍ | 11/13 [00:39<00:00, 12.01it/s]
ITERATION - loss: 1.97: 100%|██████████| 13/13 [00:39<00:00, 12.01it/s]
                                                                       
Training Results - Epoch: 29 Metrics: mse: 1.508, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.979, loss: 1.508

ITERATION - loss: 1.97:   0%|          | 0/13 [00:39<00:01, 12.01it/s]

                                                                      

ITERATION - loss: 1.97:   0%|          | 0/13 [00:39<00:01, 12.01it/s]
Validation Results - Epoch: 29 Metrics: mse: 1.525, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.985, loss: 1.525

ITERATION - loss: 1.32:  23%|██▎       | 3/13 [00:40<00:01,  6.33it/s]
ITERATION - loss: 1.72:  46%|████▌     | 6/13 [00:40<00:00,  8.03it/s]
ITERATION - loss: 1.72:  69%|██████▉   | 9/13 [00:40<00:00, 10.15it/s]
ITERATION - loss: 1.68:  92%|█████████▏| 12/13 [00:40<00:00, 12.06it/s]
ITERATION - loss: 1.84: 100%|██████████| 13/13 [00:40<00:00, 12.06it/s]
Training Results - Epoch: 30 Metrics: mse: 1.540, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.982, loss: 1.540

                                                                       

ITERATION - loss: 1.84:   0%|          | 0/13 [00:41<00:01, 12.06it/s]
                                                                      

Validation Results - Epoch: 30 Metrics: mse: 1.556, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.991, loss: 1.556

ITERATION - loss: 1.84:   0%|          | 0/13 [00:41<00:01, 12.06it/s]
ITERATION - loss: 1.43:  23%|██▎       | 3/13 [00:41<00:01,  6.64it/s]
ITERATION - loss: 1.38:  38%|███▊      | 5/13 [00:41<00:00,  8.23it/s]
ITERATION - loss: 1.66:  62%|██████▏   | 8/13 [00:41<00:00, 10.19it/s]
ITERATION - loss: 1.70:  85%|████████▍ | 11/13 [00:41<00:00, 12.43it/s]
ITERATION - loss: 1.50: 100%|██████████| 13/13 [00:41<00:00, 12.43it/s]
                                                                       

Training Results - Epoch: 31 Metrics: mse: 1.505, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.976, loss: 1.505

ITERATION - loss: 1.50:   0%|          | 0/13 [00:42<00:01, 12.43it/s]
                                                                      

Validation Results - Epoch: 31 Metrics: mse: 1.522, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.983, loss: 1.522

ITERATION - loss: 1.50:   0%|          | 0/13 [00:42<00:01, 12.43it/s]
ITERATION - loss: 1.66:  23%|██▎       | 3/13 [00:42<00:01,  6.20it/s]
ITERATION - loss: 1.61:  46%|████▌     | 6/13 [00:42<00:00,  8.10it/s]
ITERATION - loss: 1.88:  69%|██████▉   | 9/13 [00:43<00:00, 10.21it/s]
ITERATION - loss: 1.25:  92%|█████████▏| 12/13 [00:43<00:00, 12.08it/s]
ITERATION - loss: 1.51: 100%|██████████| 13/13 [00:43<00:00, 12.08it/s]
                                                                       

Training Results - Epoch: 32 Metrics: mse: 1.506, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.974, loss: 1.506

ITERATION - loss: 1.51:   0%|          | 0/13 [00:43<00:01, 12.08it/s]
                                                                      

Validation Results - Epoch: 32 Metrics: mse: 1.524, avep: 0.954, top5: 0.958, frac_mc: 0.915, top1: 0.990, mae: 0.982, loss: 1.524

ITERATION - loss: 1.51:   0%|          | 0/13 [00:43<00:01, 12.08it/s]
ITERATION - loss: 1.90:  23%|██▎       | 3/13 [00:44<00:01,  6.55it/s]
ITERATION - loss: 1.28:  46%|████▌     | 6/13 [00:44<00:00,  8.44it/s]
ITERATION - loss: 1.66:  69%|██████▉   | 9/13 [00:44<00:00, 10.60it/s]
ITERATION - loss: 1.71:  92%|█████████▏| 12/13 [00:44<00:00, 12.46it/s]
ITERATION - loss: 1.75: 100%|██████████| 13/13 [00:44<00:00, 12.46it/s]
                                                                       
Training Results - Epoch: 33 Metrics: mse: 1.528, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.988, loss: 1.528

ITERATION - loss: 1.75:   0%|          | 0/13 [00:45<00:01, 12.46it/s]
                                                                      

Validation Results - Epoch: 33 Metrics: mse: 1.544, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.992, loss: 1.544

ITERATION - loss: 1.75:   0%|          | 0/13 [00:45<00:01, 12.46it/s]
ITERATION - loss: 1.54:  23%|██▎       | 3/13 [00:45<00:01,  6.70it/s]
ITERATION - loss: 1.65:  46%|████▌     | 6/13 [00:45<00:00,  8.62it/s]
ITERATION - loss: 1.17:  69%|██████▉   | 9/13 [00:45<00:00, 10.71it/s]
ITERATION - loss: 1.70:  92%|█████████▏| 12/13 [00:45<00:00, 12.78it/s]
ITERATION - loss: 1.60: 100%|██████████| 13/13 [00:45<00:00, 12.78it/s]
                                                                       

Training Results - Epoch: 34 Metrics: mse: 1.520, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.984, loss: 1.520

ITERATION - loss: 1.60:   0%|          | 0/13 [00:46<00:01, 12.78it/s]
                                                                      

Validation Results - Epoch: 34 Metrics: mse: 1.536, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.989, loss: 1.536

ITERATION - loss: 1.60:   0%|          | 0/13 [00:46<00:01, 12.78it/s]
ITERATION - loss: 1.09:  23%|██▎       | 3/13 [00:46<00:01,  6.72it/s]
ITERATION - loss: 1.67:  38%|███▊      | 5/13 [00:46<00:00,  8.33it/s]
ITERATION - loss: 1.45:  62%|██████▏   | 8/13 [00:46<00:00, 10.08it/s]
ITERATION - loss: 1.41:  77%|███████▋  | 10/13 [00:47<00:00, 11.15it/s]
ITERATION - loss: 1.55: 100%|██████████| 13/13 [00:47<00:00, 13.58it/s]
ITERATION - loss: 1.55: 100%|██████████| 13/13 [00:47<00:00, 13.58it/s]
                                                                       

Training Results - Epoch: 35 Metrics: mse: 1.569, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 1.003, loss: 1.569

ITERATION - loss: 1.55:   0%|          | 0/13 [00:47<00:00, 13.58it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 1.581, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 1.008, loss: 1.581

ITERATION - loss: 1.55:   0%|          | 0/13 [00:48<00:00, 13.58it/s]
ITERATION - loss: 1.60:  23%|██▎       | 3/13 [00:48<00:01,  6.87it/s]
ITERATION - loss: 1.33:  46%|████▌     | 6/13 [00:48<00:00,  8.75it/s]
ITERATION - loss: 1.18:  69%|██████▉   | 9/13 [00:48<00:00, 10.66it/s]
ITERATION - loss: 1.43:  92%|█████████▏| 12/13 [00:48<00:00, 12.95it/s]
ITERATION - loss: 1.86: 100%|██████████| 13/13 [00:48<00:00, 12.95it/s]
                                                                       

Training Results - Epoch: 36 Metrics: mse: 1.566, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.988, loss: 1.566

ITERATION - loss: 1.86:   0%|          | 0/13 [00:49<00:01, 12.95it/s]
Validation Results - Epoch: 36 Metrics: mse: 1.582, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.998, loss: 1.582

                                                                      

ITERATION - loss: 1.86:   0%|          | 0/13 [00:49<00:01, 12.95it/s]
ITERATION - loss: 1.39:  23%|██▎       | 3/13 [00:49<00:01,  6.70it/s]
ITERATION - loss: 1.33:  46%|████▌     | 6/13 [00:49<00:00,  8.60it/s]
ITERATION - loss: 1.50:  69%|██████▉   | 9/13 [00:49<00:00, 10.60it/s]
ITERATION - loss: 1.61:  92%|█████████▏| 12/13 [00:49<00:00, 12.61it/s]
ITERATION - loss: 0.86: 100%|██████████| 13/13 [00:49<00:00, 12.61it/s]
Training Results - Epoch: 37 Metrics: mse: 1.710, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 1.029, loss: 1.710
                                                                       

ITERATION - loss: 0.86:   0%|          | 0/13 [00:50<00:01, 12.61it/s]
                                                                      

Validation Results - Epoch: 37 Metrics: mse: 1.719, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 1.036, loss: 1.719

ITERATION - loss: 0.86:   0%|          | 0/13 [00:50<00:01, 12.61it/s]
ITERATION - loss: 1.24:  23%|██▎       | 3/13 [00:51<00:01,  5.99it/s]
ITERATION - loss: 1.51:  46%|████▌     | 6/13 [00:51<00:00,  7.65it/s]
ITERATION - loss: 1.36:  69%|██████▉   | 9/13 [00:51<00:00,  9.63it/s]
ITERATION - loss: 1.50:  92%|█████████▏| 12/13 [00:51<00:00, 11.73it/s]
ITERATION - loss: 1.44: 100%|██████████| 13/13 [00:51<00:00, 11.73it/s]
Training Results - Epoch: 38 Metrics: mse: 1.586, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 1.010, loss: 1.586

                                                                       

ITERATION - loss: 1.44:   0%|          | 0/13 [00:52<00:01, 11.73it/s]
Validation Results - Epoch: 38 Metrics: mse: 1.597, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 1.014, loss: 1.597

                                                                      

ITERATION - loss: 1.44:   0%|          | 0/13 [00:52<00:01, 11.73it/s]
ITERATION - loss: 1.26:  23%|██▎       | 3/13 [00:52<00:01,  6.42it/s]
ITERATION - loss: 1.58:  46%|████▌     | 6/13 [00:52<00:00,  8.15it/s]
ITERATION - loss: 1.46:  69%|██████▉   | 9/13 [00:52<00:00, 10.28it/s]
ITERATION - loss: 1.65:  92%|█████████▏| 12/13 [00:52<00:00, 12.55it/s]
ITERATION - loss: 1.53: 100%|██████████| 13/13 [00:52<00:00, 12.55it/s]
                                                                       

Training Results - Epoch: 39 Metrics: mse: 1.507, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.507

ITERATION - loss: 1.53:   0%|          | 0/13 [00:53<00:01, 12.55it/s]
                                                                      

Validation Results - Epoch: 39 Metrics: mse: 1.526, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.982, loss: 1.526

ITERATION - loss: 1.53:   0%|          | 0/13 [00:53<00:01, 12.55it/s]
ITERATION - loss: 1.59:  23%|██▎       | 3/13 [00:53<00:01,  6.61it/s]
ITERATION - loss: 1.49:  46%|████▌     | 6/13 [00:53<00:00,  8.52it/s]
ITERATION - loss: 1.61:  62%|██████▏   | 8/13 [00:53<00:00, 10.17it/s]
ITERATION - loss: 1.41:  85%|████████▍ | 11/13 [00:54<00:00, 12.34it/s]
ITERATION - loss: 1.49: 100%|██████████| 13/13 [00:54<00:00, 12.34it/s]
                                                                       

Training Results - Epoch: 40 Metrics: mse: 1.506, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.506

ITERATION - loss: 1.49:   0%|          | 0/13 [00:54<00:01, 12.34it/s]
                                                                      

Validation Results - Epoch: 40 Metrics: mse: 1.525, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.982, loss: 1.525

ITERATION - loss: 1.49:   0%|          | 0/13 [00:54<00:01, 12.34it/s]
ITERATION - loss: 1.89:  23%|██▎       | 3/13 [00:55<00:01,  6.40it/s]
ITERATION - loss: 1.62:  46%|████▌     | 6/13 [00:55<00:00,  8.16it/s]
ITERATION - loss: 1.44:  62%|██████▏   | 8/13 [00:55<00:00,  9.66it/s]
ITERATION - loss: 1.70:  77%|███████▋  | 10/13 [00:55<00:00, 11.05it/s]
ITERATION - loss: 1.18:  92%|█████████▏| 12/13 [00:55<00:00, 12.54it/s]
ITERATION - loss: 1.16: 100%|██████████| 13/13 [00:55<00:00, 12.54it/s]
                                                                       

Training Results - Epoch: 41 Metrics: mse: 1.501, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.974, loss: 1.501

ITERATION - loss: 1.16:   0%|          | 0/13 [00:56<00:01, 12.54it/s]
                                                                      

Validation Results - Epoch: 41 Metrics: mse: 1.519, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.981, loss: 1.519

ITERATION - loss: 1.16:   0%|          | 0/13 [00:56<00:01, 12.54it/s]
ITERATION - loss: 1.03:  15%|█▌        | 2/13 [00:56<00:02,  5.32it/s]
ITERATION - loss: 1.49:  31%|███       | 4/13 [00:56<00:01,  6.81it/s]
ITERATION - loss: 1.43:  54%|█████▍    | 7/13 [00:56<00:00,  8.68it/s]
ITERATION - loss: 2.06:  77%|███████▋  | 10/13 [00:56<00:00, 10.79it/s]
ITERATION - loss: 1.56: 100%|██████████| 13/13 [00:56<00:00, 13.11it/s]
ITERATION - loss: 1.56: 100%|██████████| 13/13 [00:56<00:00, 13.11it/s]
                                                                       

Training Results - Epoch: 42 Metrics: mse: 1.500, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.974, loss: 1.500

ITERATION - loss: 1.56:   0%|          | 0/13 [00:57<00:00, 13.11it/s]
                                                                      

Validation Results - Epoch: 42 Metrics: mse: 1.519, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.519

ITERATION - loss: 1.56:   0%|          | 0/13 [00:57<00:00, 13.11it/s]
ITERATION - loss: 1.16:  23%|██▎       | 3/13 [00:57<00:01,  7.04it/s]
ITERATION - loss: 1.54:  46%|████▌     | 6/13 [00:57<00:00,  8.85it/s]
ITERATION - loss: 1.44:  69%|██████▉   | 9/13 [00:57<00:00, 10.86it/s]
ITERATION - loss: 1.39:  92%|█████████▏| 12/13 [00:58<00:00, 12.59it/s]
ITERATION - loss: 1.63: 100%|██████████| 13/13 [00:58<00:00, 12.59it/s]
                                                                       
Training Results - Epoch: 43 Metrics: mse: 1.501, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.501


ITERATION - loss: 1.63:   0%|          | 0/13 [00:58<00:01, 12.59it/s]
                                                                      

Validation Results - Epoch: 43 Metrics: mse: 1.520, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.520

ITERATION - loss: 1.63:   0%|          | 0/13 [00:58<00:01, 12.59it/s]
ITERATION - loss: 1.47:  15%|█▌        | 2/13 [00:59<00:02,  5.39it/s]
ITERATION - loss: 1.73:  38%|███▊      | 5/13 [00:59<00:01,  6.92it/s]
ITERATION - loss: 1.72:  62%|██████▏   | 8/13 [00:59<00:00,  8.84it/s]
ITERATION - loss: 1.46:  85%|████████▍ | 11/13 [00:59<00:00, 11.00it/s]
ITERATION - loss: 1.31: 100%|██████████| 13/13 [00:59<00:00, 11.00it/s]
                                                                       

Training Results - Epoch: 44 Metrics: mse: 1.535, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.990, loss: 1.535

ITERATION - loss: 1.31:   0%|          | 0/13 [01:00<00:01, 11.00it/s]
                                                                      

Validation Results - Epoch: 44 Metrics: mse: 1.550, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.995, loss: 1.550

ITERATION - loss: 1.31:   0%|          | 0/13 [01:00<00:01, 11.00it/s]
ITERATION - loss: 1.51:  23%|██▎       | 3/13 [01:00<00:01,  5.86it/s]
ITERATION - loss: 1.39:  46%|████▌     | 6/13 [01:00<00:00,  7.67it/s]
ITERATION - loss: 1.63:  69%|██████▉   | 9/13 [01:00<00:00,  9.66it/s]
ITERATION - loss: 1.39:  92%|█████████▏| 12/13 [01:00<00:00, 11.64it/s]
ITERATION - loss: 1.24: 100%|██████████| 13/13 [01:00<00:00, 11.64it/s]
                                                                       

Training Results - Epoch: 45 Metrics: mse: 1.511, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.974, loss: 1.511

ITERATION - loss: 1.24:   0%|          | 0/13 [01:01<00:01, 11.64it/s]
                                                                      

Validation Results - Epoch: 45 Metrics: mse: 1.530, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.982, loss: 1.530

ITERATION - loss: 1.24:   0%|          | 0/13 [01:01<00:01, 11.64it/s]
ITERATION - loss: 1.33:  23%|██▎       | 3/13 [01:01<00:01,  6.31it/s]
ITERATION - loss: 1.75:  46%|████▌     | 6/13 [01:01<00:00,  8.21it/s]
ITERATION - loss: 1.64:  69%|██████▉   | 9/13 [01:02<00:00, 10.39it/s]
ITERATION - loss: 1.22:  92%|█████████▏| 12/13 [01:02<00:00, 12.26it/s]
ITERATION - loss: 1.53: 100%|██████████| 13/13 [01:02<00:00, 12.26it/s]
                                                                       

Training Results - Epoch: 46 Metrics: mse: 1.514, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.982, loss: 1.514

ITERATION - loss: 1.53:   0%|          | 0/13 [01:02<00:01, 12.26it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 1.531, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.987, loss: 1.531

ITERATION - loss: 1.53:   0%|          | 0/13 [01:02<00:01, 12.26it/s]
ITERATION - loss: 1.70:  23%|██▎       | 3/13 [01:03<00:01,  6.71it/s]
ITERATION - loss: 1.39:  38%|███▊      | 5/13 [01:03<00:00,  8.32it/s]
ITERATION - loss: 1.60:  62%|██████▏   | 8/13 [01:03<00:00, 10.51it/s]
ITERATION - loss: 1.31:  85%|████████▍ | 11/13 [01:03<00:00, 12.82it/s]
ITERATION - loss: 1.68: 100%|██████████| 13/13 [01:03<00:00, 12.82it/s]
                                                                       

Training Results - Epoch: 47 Metrics: mse: 1.513, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.981, loss: 1.513

ITERATION - loss: 1.68:   0%|          | 0/13 [01:04<00:01, 12.82it/s]
                                                                      

Validation Results - Epoch: 47 Metrics: mse: 1.530, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.986, loss: 1.530

ITERATION - loss: 1.68:   0%|          | 0/13 [01:04<00:01, 12.82it/s]
ITERATION - loss: 1.43:  23%|██▎       | 3/13 [01:04<00:01,  6.68it/s]
ITERATION - loss: 1.28:  46%|████▌     | 6/13 [01:04<00:00,  8.34it/s]
ITERATION - loss: 1.31:  69%|██████▉   | 9/13 [01:04<00:00, 10.43it/s]
ITERATION - loss: 1.30:  92%|█████████▏| 12/13 [01:04<00:00, 12.79it/s]
ITERATION - loss: 1.71: 100%|██████████| 13/13 [01:04<00:00, 12.79it/s]
                                                                       
Training Results - Epoch: 48 Metrics: mse: 1.503, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.503


ITERATION - loss: 1.71:   0%|          | 0/13 [01:05<00:01, 12.79it/s]
                                                                      

Validation Results - Epoch: 48 Metrics: mse: 1.522, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.981, loss: 1.522

ITERATION - loss: 1.71:   0%|          | 0/13 [01:05<00:01, 12.79it/s]
ITERATION - loss: 1.78:  23%|██▎       | 3/13 [01:05<00:01,  6.69it/s]
ITERATION - loss: 1.55:  46%|████▌     | 6/13 [01:05<00:00,  8.31it/s]
ITERATION - loss: 1.45:  69%|██████▉   | 9/13 [01:05<00:00, 10.53it/s]
ITERATION - loss: 1.88:  92%|█████████▏| 12/13 [01:06<00:00, 12.87it/s]
ITERATION - loss: 1.26: 100%|██████████| 13/13 [01:06<00:00, 12.87it/s]
                                                                       

Training Results - Epoch: 49 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

ITERATION - loss: 1.26:   0%|          | 0/13 [01:06<00:01, 12.87it/s]
                                                                      

Validation Results - Epoch: 49 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 1.26:   0%|          | 0/13 [01:06<00:01, 12.87it/s]
ITERATION - loss: 1.98:  23%|██▎       | 3/13 [01:07<00:01,  6.64it/s]
ITERATION - loss: 1.41:  46%|████▌     | 6/13 [01:07<00:00,  8.30it/s]
ITERATION - loss: 1.39:  69%|██████▉   | 9/13 [01:07<00:00, 10.32it/s]
ITERATION - loss: 1.18:  92%|█████████▏| 12/13 [01:07<00:00, 12.44it/s]
ITERATION - loss: 1.46: 100%|██████████| 13/13 [01:07<00:00, 12.44it/s]
                                                                       

Training Results - Epoch: 50 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

ITERATION - loss: 1.46:   0%|          | 0/13 [01:08<00:01, 12.44it/s]
                                                                      

Validation Results - Epoch: 50 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 1.46:   0%|          | 0/13 [01:08<00:01, 12.44it/s]
ITERATION - loss: 1.25:  23%|██▎       | 3/13 [01:08<00:01,  6.57it/s]
ITERATION - loss: 1.79:  46%|████▌     | 6/13 [01:08<00:00,  8.32it/s]
ITERATION - loss: 1.42:  69%|██████▉   | 9/13 [01:08<00:00, 10.39it/s]
ITERATION - loss: 1.46:  92%|█████████▏| 12/13 [01:08<00:00, 12.58it/s]
ITERATION - loss: 2.46: 100%|██████████| 13/13 [01:08<00:00, 12.58it/s]
Training Results - Epoch: 51 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

                                                                       

ITERATION - loss: 2.46:   0%|          | 0/13 [01:09<00:01, 12.58it/s]
Validation Results - Epoch: 51 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

                                                                      

ITERATION - loss: 2.46:   0%|          | 0/13 [01:09<00:01, 12.58it/s]
ITERATION - loss: 1.38:  23%|██▎       | 3/13 [01:09<00:01,  6.66it/s]
ITERATION - loss: 1.43:  46%|████▌     | 6/13 [01:09<00:00,  8.47it/s]
ITERATION - loss: 1.81:  69%|██████▉   | 9/13 [01:09<00:00, 10.38it/s]
ITERATION - loss: 1.36:  92%|█████████▏| 12/13 [01:10<00:00, 12.22it/s]
ITERATION - loss: 1.41: 100%|██████████| 13/13 [01:10<00:00, 12.22it/s]
                                                                       

Training Results - Epoch: 52 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

ITERATION - loss: 1.41:   0%|          | 0/13 [01:10<00:01, 12.22it/s]
                                                                      

Validation Results - Epoch: 52 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 1.41:   0%|          | 0/13 [01:10<00:01, 12.22it/s]
ITERATION - loss: 1.71:  15%|█▌        | 2/13 [01:11<00:02,  5.12it/s]
ITERATION - loss: 1.77:  31%|███       | 4/13 [01:11<00:01,  6.51it/s]
ITERATION - loss: 1.34:  54%|█████▍    | 7/13 [01:11<00:00,  8.36it/s]
ITERATION - loss: 1.23:  77%|███████▋  | 10/13 [01:11<00:00, 10.47it/s]
ITERATION - loss: 1.52: 100%|██████████| 13/13 [01:11<00:00, 12.70it/s]
ITERATION - loss: 1.52: 100%|██████████| 13/13 [01:11<00:00, 12.70it/s]
Training Results - Epoch: 53 Metrics: mse: 1.500, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.500

                                                                       

ITERATION - loss: 1.52:   0%|          | 0/13 [01:12<00:01, 12.70it/s]
Validation Results - Epoch: 53 Metrics: mse: 1.519, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.519

                                                                      

ITERATION - loss: 1.52:   0%|          | 0/13 [01:12<00:01, 12.70it/s]
ITERATION - loss: 1.59:  23%|██▎       | 3/13 [01:12<00:01,  6.58it/s]
ITERATION - loss: 1.32:  46%|████▌     | 6/13 [01:12<00:00,  8.44it/s]
ITERATION - loss: 1.28:  69%|██████▉   | 9/13 [01:12<00:00, 10.63it/s]
ITERATION - loss: 1.50:  92%|█████████▏| 12/13 [01:12<00:00, 12.60it/s]
ITERATION - loss: 1.28: 100%|██████████| 13/13 [01:12<00:00, 12.60it/s]
                                                                       

Training Results - Epoch: 54 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

ITERATION - loss: 1.28:   0%|          | 0/13 [01:13<00:01, 12.60it/s]
                                                                      

Validation Results - Epoch: 54 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 1.28:   0%|          | 0/13 [01:13<00:01, 12.60it/s]
ITERATION - loss: 1.20:  23%|██▎       | 3/13 [01:13<00:01,  6.57it/s]
ITERATION - loss: 1.25:  46%|████▌     | 6/13 [01:13<00:00,  8.42it/s]
ITERATION - loss: 1.63:  69%|██████▉   | 9/13 [01:14<00:00, 10.53it/s]
ITERATION - loss: 1.67:  92%|█████████▏| 12/13 [01:14<00:00, 12.43it/s]
ITERATION - loss: 2.63: 100%|██████████| 13/13 [01:14<00:00, 12.43it/s]
                                                                       

Training Results - Epoch: 55 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.499

ITERATION - loss: 2.63:   0%|          | 0/13 [01:14<00:01, 12.43it/s]
                                                                      

Validation Results - Epoch: 55 Metrics: mse: 1.519, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.519

ITERATION - loss: 2.63:   0%|          | 0/13 [01:15<00:01, 12.43it/s]
ITERATION - loss: 1.37:  23%|██▎       | 3/13 [01:15<00:01,  6.53it/s]
ITERATION - loss: 1.50:  46%|████▌     | 6/13 [01:15<00:00,  8.41it/s]
ITERATION - loss: 1.83:  69%|██████▉   | 9/13 [01:15<00:00, 10.50it/s]
ITERATION - loss: 1.18:  92%|█████████▏| 12/13 [01:15<00:00, 12.33it/s]
ITERATION - loss: 2.10: 100%|██████████| 13/13 [01:15<00:00, 12.33it/s]
                                                                       

Training Results - Epoch: 56 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.499

ITERATION - loss: 2.10:   0%|          | 0/13 [01:16<00:01, 12.33it/s]
                                                                      

Validation Results - Epoch: 56 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 2.10:   0%|          | 0/13 [01:16<00:01, 12.33it/s]
ITERATION - loss: 1.25:  23%|██▎       | 3/13 [01:16<00:01,  6.42it/s]
ITERATION - loss: 1.09:  46%|████▌     | 6/13 [01:16<00:00,  8.29it/s]
ITERATION - loss: 1.54:  69%|██████▉   | 9/13 [01:16<00:00, 10.30it/s]
ITERATION - loss: 1.35:  92%|█████████▏| 12/13 [01:16<00:00, 12.14it/s]
ITERATION - loss: 1.26: 100%|██████████| 13/13 [01:16<00:00, 12.14it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.499

ITERATION - loss: 1.26:   0%|          | 0/13 [01:17<00:01, 12.14it/s]
Validation Results - Epoch: 57 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

                                                                      

ITERATION - loss: 1.26:   0%|          | 0/13 [01:17<00:01, 12.14it/s]
ITERATION - loss: 1.76:  23%|██▎       | 3/13 [01:17<00:01,  6.55it/s]
ITERATION - loss: 1.39:  46%|████▌     | 6/13 [01:17<00:00,  8.40it/s]
ITERATION - loss: 1.20:  69%|██████▉   | 9/13 [01:18<00:00, 10.44it/s]
ITERATION - loss: 1.76:  85%|████████▍ | 11/13 [01:18<00:00, 12.08it/s]
ITERATION - loss: 1.07: 100%|██████████| 13/13 [01:18<00:00, 12.08it/s]
                                                                       

Training Results - Epoch: 58 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.972, loss: 1.499

ITERATION - loss: 1.07:   0%|          | 0/13 [01:18<00:01, 12.08it/s]
Validation Results - Epoch: 58 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518
                                                                      

ITERATION - loss: 1.07:   0%|          | 0/13 [01:19<00:01, 12.08it/s]
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ITERATION - loss: 1.80:  38%|███▊      | 5/13 [01:19<00:01,  6.59it/s]
ITERATION - loss: 1.51:  62%|██████▏   | 8/13 [01:19<00:00,  8.44it/s]
ITERATION - loss: 1.60:  85%|████████▍ | 11/13 [01:19<00:00, 10.24it/s]
ITERATION - loss: 1.08: 100%|██████████| 13/13 [01:19<00:00, 10.24it/s]
                                                                       

Training Results - Epoch: 59 Metrics: mse: 1.499, avep: 0.968, top5: 0.969, frac_mc: 0.933, top1: 1.000, mae: 0.973, loss: 1.499

ITERATION - loss: 1.08:   0%|          | 0/13 [01:20<00:01, 10.24it/s]
                                                                      

Validation Results - Epoch: 59 Metrics: mse: 1.518, avep: 0.954, top5: 0.958, frac_mc: 0.917, top1: 0.990, mae: 0.980, loss: 1.518

ITERATION - loss: 1.08:   0%|          | 0/13 [01:20<00:01, 10.24it/s]
                                                                      
mse: 1.518
avep: 0.954
top5: 0.958
frac_mc: 0.917
top1: 0.990
mae: 0.980
loss: 1.518
