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Training Results - Epoch: 0 Metrics: mse: 22.478, avep: 0.901, top5: 0.921, frac_mc: 0.829, top1: 0.965, mae: 4.718, loss: 228.468

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

Validation Results - Epoch: 0 Metrics: mse: 22.482, avep: 0.900, top5: 0.928, frac_mc: 0.820, top1: 0.960, mae: 4.718, loss: 236.136

ITERATION - loss: 0.00:   0%|          | 0/13 [00:01<?, ?it/s]
ITERATION - loss: 201.30:   8%|▊         | 1/13 [00:01<00:15,  1.30s/it]
ITERATION - loss: 202.01:  23%|██▎       | 3/13 [00:01<00:09,  1.07it/s]
ITERATION - loss: 127.98:  38%|███▊      | 5/13 [00:01<00:05,  1.46it/s]
ITERATION - loss: 139.63:  54%|█████▍    | 7/13 [00:01<00:03,  1.97it/s]
ITERATION - loss: 115.06:  62%|██████▏   | 8/13 [00:01<00:01,  2.56it/s]
ITERATION - loss: 125.50:  77%|███████▋  | 10/13 [00:02<00:00,  3.33it/s]
ITERATION - loss: 97.86:  85%|████████▍ | 11/13 [00:02<00:00,  4.09it/s] 
ITERATION - loss: 56.14: 100%|██████████| 13/13 [00:02<00:00,  5.20it/s]
ITERATION - loss: 56.14: 100%|██████████| 13/13 [00:02<00:00,  5.20it/s]
                                                                        

Training Results - Epoch: 1 Metrics: mse: 15.038, avep: 0.899, top5: 0.915, frac_mc: 0.835, top1: 0.968, mae: 3.853, loss: 105.164

ITERATION - loss: 56.14:   0%|          | 0/13 [00:03<00:02,  5.20it/s]
                                                                       

Validation Results - Epoch: 1 Metrics: mse: 15.043, avep: 0.896, top5: 0.916, frac_mc: 0.822, top1: 0.960, mae: 3.853, loss: 114.083

ITERATION - loss: 56.14:   0%|          | 0/13 [00:03<00:02,  5.20it/s]
ITERATION - loss: 102.34:  15%|█▌        | 2/13 [00:03<00:03,  2.92it/s]
ITERATION - loss: 105.05:  31%|███       | 4/13 [00:04<00:02,  3.69it/s]
ITERATION - loss: 87.05:  46%|████▌     | 6/13 [00:04<00:01,  4.59it/s] 
ITERATION - loss: 91.96:  54%|█████▍    | 7/13 [00:04<00:01,  5.38it/s]
ITERATION - loss: 105.09:  69%|██████▉   | 9/13 [00:04<00:00,  6.30it/s]
ITERATION - loss: 118.36:  77%|███████▋  | 10/13 [00:04<00:00,  6.76it/s]
ITERATION - loss: 88.93:  92%|█████████▏| 12/13 [00:04<00:00,  7.51it/s] 
ITERATION - loss: 47.81: 100%|██████████| 13/13 [00:04<00:00,  7.51it/s]
                                                                        

Training Results - Epoch: 2 Metrics: mse: 13.598, avep: 0.922, top5: 0.944, frac_mc: 0.853, top1: 0.988, mae: 3.663, loss: 97.887

ITERATION - loss: 47.81:   0%|          | 0/13 [00:05<00:01,  7.51it/s]
                                                                       

Validation Results - Epoch: 2 Metrics: mse: 13.602, avep: 0.921, top5: 0.942, frac_mc: 0.842, top1: 0.990, mae: 3.663, loss: 106.742

ITERATION - loss: 47.81:   0%|          | 0/13 [00:06<00:01,  7.51it/s]
ITERATION - loss: 100.50:   8%|▊         | 1/13 [00:06<00:06,  2.00it/s]
ITERATION - loss: 96.43:  15%|█▌        | 2/13 [00:06<00:04,  2.60it/s] 
ITERATION - loss: 109.11:  31%|███       | 4/13 [00:06<00:02,  3.36it/s]
ITERATION - loss: 113.13:  38%|███▊      | 5/13 [00:06<00:01,  4.06it/s]
ITERATION - loss: 101.31:  54%|█████▍    | 7/13 [00:06<00:01,  5.02it/s]
ITERATION - loss: 103.55:  69%|██████▉   | 9/13 [00:06<00:00,  5.89it/s]
ITERATION - loss: 86.53:  85%|████████▍ | 11/13 [00:07<00:00,  6.79it/s]
ITERATION - loss: 102.95:  92%|█████████▏| 12/13 [00:07<00:00,  7.25it/s]
ITERATION - loss: 52.54: 100%|██████████| 13/13 [00:07<00:00,  7.25it/s] 
                                                                        

Training Results - Epoch: 3 Metrics: mse: 16.041, avep: 0.928, top5: 0.953, frac_mc: 0.855, top1: 0.993, mae: 3.982, loss: 92.455

ITERATION - loss: 52.54:   0%|          | 0/13 [00:08<00:01,  7.25it/s]
                                                                       

Validation Results - Epoch: 3 Metrics: mse: 16.044, avep: 0.926, top5: 0.950, frac_mc: 0.845, top1: 0.990, mae: 3.982, loss: 98.455

ITERATION - loss: 52.54:   0%|          | 0/13 [00:08<00:01,  7.25it/s]
ITERATION - loss: 82.21:   8%|▊         | 1/13 [00:08<00:06,  2.00it/s]
ITERATION - loss: 92.22:  23%|██▎       | 3/13 [00:08<00:03,  2.63it/s]
ITERATION - loss: 85.16:  31%|███       | 4/13 [00:08<00:02,  3.30it/s]
ITERATION - loss: 67.64:  46%|████▌     | 6/13 [00:09<00:01,  4.19it/s]
ITERATION - loss: 82.94:  62%|██████▏   | 8/13 [00:09<00:00,  5.06it/s]
ITERATION - loss: 88.82:  77%|███████▋  | 10/13 [00:09<00:00,  5.94it/s]
ITERATION - loss: 89.64:  85%|████████▍ | 11/13 [00:09<00:00,  6.49it/s]
ITERATION - loss: 59.24: 100%|██████████| 13/13 [00:09<00:00,  7.83it/s]
ITERATION - loss: 59.24: 100%|██████████| 13/13 [00:09<00:00,  7.83it/s]
Training Results - Epoch: 4 Metrics: mse: 13.769, avep: 0.928, top5: 0.952, frac_mc: 0.856, top1: 0.975, mae: 3.686, loss: 87.277

                                                                        

ITERATION - loss: 59.24:   0%|          | 0/13 [00:10<00:01,  7.83it/s]
                                                                       

Validation Results - Epoch: 4 Metrics: mse: 13.773, avep: 0.928, top5: 0.956, frac_mc: 0.850, top1: 0.990, mae: 3.687, loss: 91.713

ITERATION - loss: 59.24:   0%|          | 0/13 [00:11<00:01,  7.83it/s]
ITERATION - loss: 81.94:  15%|█▌        | 2/13 [00:11<00:03,  3.30it/s]
ITERATION - loss: 72.16:  23%|██▎       | 3/13 [00:11<00:02,  4.03it/s]
ITERATION - loss: 87.06:  38%|███▊      | 5/13 [00:11<00:01,  4.96it/s]
ITERATION - loss: 89.45:  46%|████▌     | 6/13 [00:11<00:01,  5.76it/s]
ITERATION - loss: 83.81:  62%|██████▏   | 8/13 [00:11<00:00,  6.70it/s]
ITERATION - loss: 94.67:  77%|███████▋  | 10/13 [00:12<00:00,  7.29it/s]
ITERATION - loss: 104.21:  85%|████████▍ | 11/13 [00:12<00:00,  7.92it/s]
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ITERATION - loss: 29.10: 100%|██████████| 13/13 [00:12<00:00,  8.84it/s]
                                                                        

Training Results - Epoch: 5 Metrics: mse: 6.647, avep: 0.927, top5: 0.950, frac_mc: 0.858, top1: 0.985, mae: 2.546, loss: 98.289

ITERATION - loss: 29.10:   0%|          | 0/13 [00:13<00:01,  8.84it/s]
                                                                       

Validation Results - Epoch: 5 Metrics: mse: 6.647, avep: 0.925, top5: 0.952, frac_mc: 0.848, top1: 0.990, mae: 2.546, loss: 106.023

ITERATION - loss: 29.10:   0%|          | 0/13 [00:13<00:01,  8.84it/s]
ITERATION - loss: 103.80:  15%|█▌        | 2/13 [00:13<00:03,  3.43it/s]
ITERATION - loss: 103.48:  31%|███       | 4/13 [00:13<00:02,  4.25it/s]
ITERATION - loss: 103.23:  38%|███▊      | 5/13 [00:14<00:01,  5.02it/s]
ITERATION - loss: 109.66:  54%|█████▍    | 7/13 [00:14<00:00,  6.01it/s]
ITERATION - loss: 60.95:  62%|██████▏   | 8/13 [00:14<00:00,  6.65it/s] 
ITERATION - loss: 78.41:  69%|██████▉   | 9/13 [00:14<00:00,  7.20it/s]
ITERATION - loss: 86.15:  77%|███████▋  | 10/13 [00:14<00:00,  7.80it/s]
ITERATION - loss: 91.59:  85%|████████▍ | 11/13 [00:14<00:00,  7.90it/s]
ITERATION - loss: 41.38: 100%|██████████| 13/13 [00:14<00:00,  9.19it/s]
ITERATION - loss: 41.38: 100%|██████████| 13/13 [00:14<00:00,  9.19it/s]
Training Results - Epoch: 6 Metrics: mse: 12.387, avep: 0.931, top5: 0.960, frac_mc: 0.857, top1: 0.983, mae: 3.495, loss: 83.883

                                                                        

ITERATION - loss: 41.38:   0%|          | 0/13 [00:15<00:01,  9.19it/s]
Validation Results - Epoch: 6 Metrics: mse: 12.392, avep: 0.930, top5: 0.952, frac_mc: 0.851, top1: 0.990, mae: 3.495, loss: 88.678

                                                                       

ITERATION - loss: 41.38:   0%|          | 0/13 [00:16<00:01,  9.19it/s]
ITERATION - loss: 65.80:  15%|█▌        | 2/13 [00:16<00:03,  3.40it/s]
ITERATION - loss: 143.19:  23%|██▎       | 3/13 [00:16<00:02,  4.17it/s]
ITERATION - loss: 87.52:  38%|███▊      | 5/13 [00:16<00:01,  5.12it/s] 
ITERATION - loss: 65.81:  46%|████▌     | 6/13 [00:16<00:01,  5.85it/s]
ITERATION - loss: 99.99:  62%|██████▏   | 8/13 [00:16<00:00,  6.81it/s]
ITERATION - loss: 65.31:  69%|██████▉   | 9/13 [00:16<00:00,  7.17it/s]
ITERATION - loss: 99.95:  85%|████████▍ | 11/13 [00:17<00:00,  8.01it/s]
ITERATION - loss: 55.73:  92%|█████████▏| 12/13 [00:17<00:00,  8.29it/s]
ITERATION - loss: 47.57: 100%|██████████| 13/13 [00:17<00:00,  8.29it/s]
                                                                        

ITERATION - loss: 47.57:   0%|          | 0/13 [00:18<00:01,  8.29it/s]
Training Results - Epoch: 7 Metrics: mse: 8.395, avep: 0.936, top5: 0.962, frac_mc: 0.866, top1: 0.988, mae: 2.868, loss: 78.409

                                                                       

Validation Results - Epoch: 7 Metrics: mse: 8.406, avep: 0.933, top5: 0.958, frac_mc: 0.855, top1: 0.990, mae: 2.870, loss: 83.014

ITERATION - loss: 47.57:   0%|          | 0/13 [00:18<00:01,  8.29it/s]
ITERATION - loss: 91.05:   8%|▊         | 1/13 [00:18<00:06,  1.99it/s]
ITERATION - loss: 74.47:  23%|██▎       | 3/13 [00:18<00:03,  2.62it/s]
ITERATION - loss: 77.43:  31%|███       | 4/13 [00:18<00:02,  3.32it/s]
ITERATION - loss: 96.28:  46%|████▌     | 6/13 [00:19<00:01,  4.17it/s]
ITERATION - loss: 95.61:  54%|█████▍    | 7/13 [00:19<00:01,  5.01it/s]
ITERATION - loss: 89.07:  62%|██████▏   | 8/13 [00:19<00:00,  5.81it/s]
ITERATION - loss: 83.35:  77%|███████▋  | 10/13 [00:19<00:00,  6.73it/s]
ITERATION - loss: 70.61:  85%|████████▍ | 11/13 [00:19<00:00,  7.06it/s]
ITERATION - loss: 91.30:  92%|█████████▏| 12/13 [00:19<00:00,  7.64it/s]
ITERATION - loss: 37.37: 100%|██████████| 13/13 [00:19<00:00,  7.64it/s]
                                                                        

Training Results - Epoch: 8 Metrics: mse: 8.181, avep: 0.934, top5: 0.958, frac_mc: 0.863, top1: 0.985, mae: 2.831, loss: 82.959

ITERATION - loss: 37.37:   0%|          | 0/13 [00:20<00:01,  7.64it/s]
                                                                       

Validation Results - Epoch: 8 Metrics: mse: 8.187, avep: 0.931, top5: 0.956, frac_mc: 0.854, top1: 0.990, mae: 2.831, loss: 86.886

ITERATION - loss: 37.37:   0%|          | 0/13 [00:21<00:01,  7.64it/s]
ITERATION - loss: 98.06:   8%|▊         | 1/13 [00:21<00:06,  1.98it/s]
ITERATION - loss: 61.70:  23%|██▎       | 3/13 [00:21<00:03,  2.61it/s]
ITERATION - loss: 74.75:  38%|███▊      | 5/13 [00:21<00:02,  3.38it/s]
ITERATION - loss: 89.72:  46%|████▌     | 6/13 [00:21<00:01,  4.12it/s]
ITERATION - loss: 124.85:  62%|██████▏   | 8/13 [00:21<00:01,  4.98it/s]
ITERATION - loss: 77.68:  69%|██████▉   | 9/13 [00:22<00:00,  5.70it/s] 
ITERATION - loss: 76.94:  85%|████████▍ | 11/13 [00:22<00:00,  6.62it/s]
ITERATION - loss: 26.70: 100%|██████████| 13/13 [00:22<00:00,  7.80it/s]
ITERATION - loss: 26.70: 100%|██████████| 13/13 [00:22<00:00,  7.80it/s]
                                                                        

Training Results - Epoch: 9 Metrics: mse: 6.982, avep: 0.935, top5: 0.961, frac_mc: 0.867, top1: 0.985, mae: 2.610, loss: 80.401

ITERATION - loss: 26.70:   0%|          | 0/13 [00:23<00:01,  7.80it/s]
Validation Results - Epoch: 9 Metrics: mse: 6.989, avep: 0.932, top5: 0.964, frac_mc: 0.859, top1: 0.990, mae: 2.611, loss: 85.004

                                                                       

ITERATION - loss: 26.70:   0%|          | 0/13 [00:23<00:01,  7.80it/s]
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ITERATION - loss: 71.40:  31%|███       | 4/13 [00:23<00:02,  4.18it/s]
ITERATION - loss: 84.92:  38%|███▊      | 5/13 [00:24<00:01,  4.88it/s]
ITERATION - loss: 113.78:  54%|█████▍    | 7/13 [00:24<00:01,  5.91it/s]
ITERATION - loss: 92.47:  62%|██████▏   | 8/13 [00:24<00:00,  6.60it/s] 
ITERATION - loss: 81.47:  77%|███████▋  | 10/13 [00:24<00:00,  7.38it/s]
ITERATION - loss: 88.82:  85%|████████▍ | 11/13 [00:24<00:00,  7.67it/s]
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Training Results - Epoch: 10 Metrics: mse: 11.288, avep: 0.936, top5: 0.962, frac_mc: 0.865, top1: 0.983, mae: 3.333, loss: 77.807

ITERATION - loss: 47.62:   0%|          | 0/13 [00:25<00:01,  9.01it/s]
                                                                       

Validation Results - Epoch: 10 Metrics: mse: 11.297, avep: 0.935, top5: 0.958, frac_mc: 0.858, top1: 0.990, mae: 3.334, loss: 81.364

ITERATION - loss: 47.62:   0%|          | 0/13 [00:25<00:01,  9.01it/s]
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ITERATION - loss: 78.16:  31%|███       | 4/13 [00:26<00:02,  4.44it/s]
ITERATION - loss: 89.40:  46%|████▌     | 6/13 [00:26<00:01,  5.40it/s]
ITERATION - loss: 96.05:  62%|██████▏   | 8/13 [00:26<00:00,  6.27it/s]
ITERATION - loss: 68.97:  77%|███████▋  | 10/13 [00:26<00:00,  7.23it/s]
ITERATION - loss: 87.86:  92%|█████████▏| 12/13 [00:27<00:00,  7.84it/s]
ITERATION - loss: 36.56: 100%|██████████| 13/13 [00:27<00:00,  7.84it/s]
Training Results - Epoch: 11 Metrics: mse: 15.692, avep: 0.931, top5: 0.953, frac_mc: 0.865, top1: 0.970, mae: 3.937, loss: 92.154

                                                                        

ITERATION - loss: 36.56:   0%|          | 0/13 [00:28<00:01,  7.84it/s]
                                                                       

Validation Results - Epoch: 11 Metrics: mse: 15.699, avep: 0.932, top5: 0.954, frac_mc: 0.859, top1: 0.990, mae: 3.937, loss: 97.504

ITERATION - loss: 36.56:   0%|          | 0/13 [00:28<00:01,  7.84it/s]
ITERATION - loss: 83.01:   8%|▊         | 1/13 [00:28<00:06,  1.99it/s]
ITERATION - loss: 127.54:  23%|██▎       | 3/13 [00:28<00:03,  2.62it/s]
ITERATION - loss: 66.22:  38%|███▊      | 5/13 [00:28<00:02,  3.39it/s] 
ITERATION - loss: 86.28:  46%|████▌     | 6/13 [00:28<00:01,  4.17it/s]
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ITERATION - loss: 85.85:  77%|███████▋  | 10/13 [00:29<00:00,  6.02it/s]
ITERATION - loss: 93.93:  92%|█████████▏| 12/13 [00:29<00:00,  6.84it/s]
ITERATION - loss: 44.51: 100%|██████████| 13/13 [00:29<00:00,  6.84it/s]
                                                                        

Training Results - Epoch: 12 Metrics: mse: 5.582, avep: 0.929, top5: 0.952, frac_mc: 0.861, top1: 0.985, mae: 2.328, loss: 103.216

ITERATION - loss: 44.51:   0%|          | 0/13 [00:30<00:01,  6.84it/s]
                                                                       

Validation Results - Epoch: 12 Metrics: mse: 5.589, avep: 0.927, top5: 0.954, frac_mc: 0.851, top1: 0.990, mae: 2.329, loss: 110.243

ITERATION - loss: 44.51:   0%|          | 0/13 [00:30<00:01,  6.84it/s]
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ITERATION - loss: 114.38:  31%|███       | 4/13 [00:31<00:02,  3.16it/s]
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ITERATION - loss: 82.67:  77%|███████▋  | 10/13 [00:31<00:00,  6.66it/s]
ITERATION - loss: 90.51:  85%|████████▍ | 11/13 [00:32<00:00,  7.18it/s]
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ITERATION - loss: 39.03: 100%|██████████| 13/13 [00:32<00:00,  8.44it/s]
                                                                        

Training Results - Epoch: 13 Metrics: mse: 13.410, avep: 0.934, top5: 0.957, frac_mc: 0.866, top1: 0.985, mae: 3.638, loss: 79.163

ITERATION - loss: 39.03:   0%|          | 0/13 [00:33<00:01,  8.44it/s]
                                                                       

Validation Results - Epoch: 13 Metrics: mse: 13.416, avep: 0.931, top5: 0.958, frac_mc: 0.855, top1: 0.990, mae: 3.639, loss: 83.927

ITERATION - loss: 39.03:   0%|          | 0/13 [00:33<00:01,  8.44it/s]
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ITERATION - loss: 83.80:  54%|█████▍    | 7/13 [00:34<00:00,  6.74it/s]
ITERATION - loss: 95.68:  69%|██████▉   | 9/13 [00:34<00:00,  7.50it/s]
ITERATION - loss: 78.44:  77%|███████▋  | 10/13 [00:34<00:00,  7.57it/s]
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ITERATION - loss: 49.13: 100%|██████████| 13/13 [00:34<00:00,  8.40it/s]
                                                                        

Training Results - Epoch: 14 Metrics: mse: 13.981, avep: 0.936, top5: 0.959, frac_mc: 0.868, top1: 0.978, mae: 3.717, loss: 77.341

ITERATION - loss: 49.13:   0%|          | 0/13 [00:35<00:01,  8.40it/s]
                                                                       
Validation Results - Epoch: 14 Metrics: mse: 13.990, avep: 0.933, top5: 0.962, frac_mc: 0.857, top1: 0.990, mae: 3.717, loss: 81.269


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ITERATION - loss: 79.97:  31%|███       | 4/13 [00:36<00:02,  3.44it/s]
ITERATION - loss: 92.73:  38%|███▊      | 5/13 [00:36<00:01,  4.27it/s]
ITERATION - loss: 83.87:  46%|████▌     | 6/13 [00:36<00:01,  4.99it/s]
ITERATION - loss: 73.82:  62%|██████▏   | 8/13 [00:36<00:00,  5.84it/s]
ITERATION - loss: 81.86:  69%|██████▉   | 9/13 [00:36<00:00,  6.31it/s]
ITERATION - loss: 89.59:  77%|███████▋  | 10/13 [00:36<00:00,  7.06it/s]
ITERATION - loss: 64.48:  92%|█████████▏| 12/13 [00:37<00:00,  7.64it/s]
ITERATION - loss: 23.41: 100%|██████████| 13/13 [00:37<00:00,  7.64it/s]
                                                                        
Training Results - Epoch: 15 Metrics: mse: 11.343, avep: 0.935, top5: 0.961, frac_mc: 0.865, top1: 0.985, mae: 3.343, loss: 80.116


ITERATION - loss: 23.41:   0%|          | 0/13 [00:38<00:01,  7.64it/s]
                                                                       

Validation Results - Epoch: 15 Metrics: mse: 11.349, avep: 0.933, top5: 0.958, frac_mc: 0.856, top1: 0.990, mae: 3.343, loss: 83.336

ITERATION - loss: 23.41:   0%|          | 0/13 [00:38<00:01,  7.64it/s]
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ITERATION - loss: 76.08:  31%|███       | 4/13 [00:38<00:02,  3.40it/s]
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ITERATION - loss: 64.50:  62%|██████▏   | 8/13 [00:39<00:00,  5.18it/s] 
ITERATION - loss: 70.48:  77%|███████▋  | 10/13 [00:39<00:00,  6.12it/s]
ITERATION - loss: 76.33:  85%|████████▍ | 11/13 [00:39<00:00,  6.74it/s]
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ITERATION - loss: 48.92: 100%|██████████| 13/13 [00:39<00:00,  7.81it/s]
                                                                        

Training Results - Epoch: 16 Metrics: mse: 16.091, avep: 0.935, top5: 0.957, frac_mc: 0.866, top1: 0.983, mae: 3.989, loss: 79.533

ITERATION - loss: 48.92:   0%|          | 0/13 [00:40<00:01,  7.81it/s]
                                                                       

Validation Results - Epoch: 16 Metrics: mse: 16.104, avep: 0.932, top5: 0.952, frac_mc: 0.861, top1: 0.990, mae: 3.990, loss: 83.182

ITERATION - loss: 48.92:   0%|          | 0/13 [00:40<00:01,  7.81it/s]
ITERATION - loss: 73.90:  15%|█▌        | 2/13 [00:40<00:03,  3.28it/s]
ITERATION - loss: 88.18:  31%|███       | 4/13 [00:41<00:02,  4.17it/s]
ITERATION - loss: 86.25:  46%|████▌     | 6/13 [00:41<00:01,  5.06it/s]
ITERATION - loss: 77.88:  62%|██████▏   | 8/13 [00:41<00:00,  6.08it/s]
ITERATION - loss: 75.34:  69%|██████▉   | 9/13 [00:41<00:00,  6.71it/s]
ITERATION - loss: 49.98:  85%|████████▍ | 11/13 [00:41<00:00,  7.53it/s]
ITERATION - loss: 47.61: 100%|██████████| 13/13 [00:42<00:00,  8.61it/s]
ITERATION - loss: 47.61: 100%|██████████| 13/13 [00:42<00:00,  8.61it/s]
                                                                        

ITERATION - loss: 47.61:   0%|          | 0/13 [00:42<00:01,  8.61it/s]
Training Results - Epoch: 17 Metrics: mse: 15.002, avep: 0.938, top5: 0.960, frac_mc: 0.869, top1: 0.983, mae: 3.850, loss: 78.176

                                                                       

Validation Results - Epoch: 17 Metrics: mse: 15.015, avep: 0.936, top5: 0.960, frac_mc: 0.862, top1: 0.990, mae: 3.851, loss: 82.080

ITERATION - loss: 47.61:   0%|          | 0/13 [00:43<00:01,  8.61it/s]
ITERATION - loss: 95.90:  15%|█▌        | 2/13 [00:43<00:03,  3.44it/s]
ITERATION - loss: 80.36:  31%|███       | 4/13 [00:43<00:02,  4.31it/s]
ITERATION - loss: 68.35:  38%|███▊      | 5/13 [00:43<00:01,  5.04it/s]
ITERATION - loss: 85.63:  54%|█████▍    | 7/13 [00:43<00:01,  5.98it/s]
ITERATION - loss: 87.90:  62%|██████▏   | 8/13 [00:44<00:00,  6.57it/s]
ITERATION - loss: 75.03:  77%|███████▋  | 10/13 [00:44<00:00,  7.32it/s]
ITERATION - loss: 93.90:  85%|████████▍ | 11/13 [00:44<00:00,  7.44it/s]
ITERATION - loss: 31.99: 100%|██████████| 13/13 [00:44<00:00,  8.63it/s]
ITERATION - loss: 31.99: 100%|██████████| 13/13 [00:44<00:00,  8.63it/s]
Training Results - Epoch: 18 Metrics: mse: 16.488, avep: 0.938, top5: 0.963, frac_mc: 0.869, top1: 0.985, mae: 4.040, loss: 77.122

                                                                        

ITERATION - loss: 31.99:   0%|          | 0/13 [00:45<00:01,  8.63it/s]
                                                                       

ITERATION - loss: 31.99:   0%|          | 0/13 [00:45<00:01,  8.63it/s]
Validation Results - Epoch: 18 Metrics: mse: 16.519, avep: 0.935, top5: 0.964, frac_mc: 0.860, top1: 0.990, mae: 4.044, loss: 80.019

ITERATION - loss: 59.63:  15%|█▌        | 2/13 [00:45<00:03,  3.43it/s]
ITERATION - loss: 89.95:  23%|██▎       | 3/13 [00:46<00:02,  4.19it/s]
ITERATION - loss: 87.49:  38%|███▊      | 5/13 [00:46<00:01,  5.14it/s]
ITERATION - loss: 100.33:  54%|█████▍    | 7/13 [00:46<00:01,  6.00it/s]
ITERATION - loss: 65.90:  69%|██████▉   | 9/13 [00:46<00:00,  6.85it/s] 
ITERATION - loss: 81.60:  77%|███████▋  | 10/13 [00:46<00:00,  7.35it/s]
ITERATION - loss: 65.35:  92%|█████████▏| 12/13 [00:46<00:00,  8.04it/s]
ITERATION - loss: 37.78: 100%|██████████| 13/13 [00:46<00:00,  8.04it/s]
Training Results - Epoch: 19 Metrics: mse: 3.662, avep: 0.935, top5: 0.962, frac_mc: 0.868, top1: 0.990, mae: 1.870, loss: 80.669

                                                                        

ITERATION - loss: 37.78:   0%|          | 0/13 [00:47<00:01,  8.04it/s]
Validation Results - Epoch: 19 Metrics: mse: 3.681, avep: 0.932, top5: 0.960, frac_mc: 0.855, top1: 0.990, mae: 1.874, loss: 84.435

                                                                       

ITERATION - loss: 37.78:   0%|          | 0/13 [00:48<00:01,  8.04it/s]
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ITERATION - loss: 89.92:  46%|████▌     | 6/13 [00:48<00:01,  4.19it/s]
ITERATION - loss: 111.36:  62%|██████▏   | 8/13 [00:48<00:00,  5.18it/s]
ITERATION - loss: 61.77:  69%|██████▉   | 9/13 [00:49<00:00,  5.92it/s] 
ITERATION - loss: 83.79:  85%|████████▍ | 11/13 [00:49<00:00,  6.91it/s]
ITERATION - loss: 95.73:  92%|█████████▏| 12/13 [00:49<00:00,  7.61it/s]
ITERATION - loss: 48.19: 100%|██████████| 13/13 [00:49<00:00,  7.61it/s]
                                                                        
Training Results - Epoch: 20 Metrics: mse: 9.546, avep: 0.935, top5: 0.960, frac_mc: 0.867, top1: 0.978, mae: 3.060, loss: 85.376

ITERATION - loss: 48.19:   0%|          | 0/13 [00:50<00:01,  7.61it/s]
                                                                       

Validation Results - Epoch: 20 Metrics: mse: 9.560, avep: 0.934, top5: 0.964, frac_mc: 0.857, top1: 0.990, mae: 3.061, loss: 90.646

ITERATION - loss: 48.19:   0%|          | 0/13 [00:50<00:01,  7.61it/s]
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ITERATION - loss: 88.30:  23%|██▎       | 3/13 [00:50<00:03,  2.63it/s]
ITERATION - loss: 82.52:  38%|███▊      | 5/13 [00:51<00:02,  3.37it/s]
ITERATION - loss: 93.90:  54%|█████▍    | 7/13 [00:51<00:01,  4.27it/s]
ITERATION - loss: 111.88:  62%|██████▏   | 8/13 [00:51<00:00,  5.05it/s]
ITERATION - loss: 85.43:  77%|███████▋  | 10/13 [00:51<00:00,  6.03it/s]
ITERATION - loss: 107.66:  85%|████████▍ | 11/13 [00:51<00:00,  6.68it/s]
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ITERATION - loss: 37.41: 100%|██████████| 13/13 [00:51<00:00,  7.95it/s]
                                                                        

Training Results - Epoch: 21 Metrics: mse: 9.779, avep: 0.936, top5: 0.959, frac_mc: 0.867, top1: 0.978, mae: 3.097, loss: 86.879

ITERATION - loss: 37.41:   0%|          | 0/13 [00:52<00:01,  7.95it/s]
                                                                       

Validation Results - Epoch: 21 Metrics: mse: 9.787, avep: 0.935, top5: 0.952, frac_mc: 0.859, top1: 0.990, mae: 3.098, loss: 91.609

ITERATION - loss: 37.41:   0%|          | 0/13 [00:52<00:01,  7.95it/s]
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ITERATION - loss: 86.76:  31%|███       | 4/13 [00:53<00:02,  4.21it/s]
ITERATION - loss: 90.76:  46%|████▌     | 6/13 [00:53<00:01,  5.15it/s]
ITERATION - loss: 91.69:  54%|█████▍    | 7/13 [00:53<00:01,  5.76it/s]
ITERATION - loss: 77.19:  69%|██████▉   | 9/13 [00:53<00:00,  6.68it/s]
ITERATION - loss: 80.96:  77%|███████▋  | 10/13 [00:54<00:00,  7.15it/s]
ITERATION - loss: 75.61:  92%|█████████▏| 12/13 [00:54<00:00,  7.95it/s]
ITERATION - loss: 34.31: 100%|██████████| 13/13 [00:54<00:00,  7.95it/s]
                                                                        

Training Results - Epoch: 22 Metrics: mse: 13.238, avep: 0.932, top5: 0.958, frac_mc: 0.863, top1: 0.983, mae: 3.613, loss: 88.039

ITERATION - loss: 34.31:   0%|          | 0/13 [00:55<00:01,  7.95it/s]
                                                                       

Validation Results - Epoch: 22 Metrics: mse: 13.241, avep: 0.929, top5: 0.952, frac_mc: 0.855, top1: 0.990, mae: 3.612, loss: 93.924

ITERATION - loss: 34.31:   0%|          | 0/13 [00:55<00:01,  7.95it/s]
ITERATION - loss: 95.13:   8%|▊         | 1/13 [00:55<00:05,  2.01it/s]
ITERATION - loss: 72.94:  15%|█▌        | 2/13 [00:55<00:04,  2.60it/s]
ITERATION - loss: 84.25:  31%|███       | 4/13 [00:55<00:02,  3.37it/s]
ITERATION - loss: 75.05:  38%|███▊      | 5/13 [00:55<00:01,  4.14it/s]
ITERATION - loss: 107.17:  54%|█████▍    | 7/13 [00:56<00:01,  5.02it/s]
ITERATION - loss: 91.25:  69%|██████▉   | 9/13 [00:56<00:00,  5.84it/s] 
ITERATION - loss: 68.94:  85%|████████▍ | 11/13 [00:56<00:00,  6.68it/s]
ITERATION - loss: 67.48:  92%|█████████▏| 12/13 [00:56<00:00,  6.99it/s]
ITERATION - loss: 42.53: 100%|██████████| 13/13 [00:56<00:00,  6.99it/s]
                                                                        

Training Results - Epoch: 23 Metrics: mse: 10.356, avep: 0.930, top5: 0.951, frac_mc: 0.867, top1: 0.965, mae: 3.190, loss: 81.610

ITERATION - loss: 42.53:   0%|          | 0/13 [00:57<00:01,  6.99it/s]
                                                                       

Validation Results - Epoch: 23 Metrics: mse: 10.369, avep: 0.929, top5: 0.950, frac_mc: 0.855, top1: 0.990, mae: 3.192, loss: 86.686

ITERATION - loss: 42.53:   0%|          | 0/13 [00:57<00:01,  6.99it/s]
ITERATION - loss: 84.51:   8%|▊         | 1/13 [00:58<00:05,  2.02it/s]
ITERATION - loss: 84.80:  23%|██▎       | 3/13 [00:58<00:03,  2.67it/s]
ITERATION - loss: 60.80:  31%|███       | 4/13 [00:58<00:02,  3.37it/s]
ITERATION - loss: 81.08:  46%|████▌     | 6/13 [00:58<00:01,  4.27it/s]
ITERATION - loss: 74.45:  62%|██████▏   | 8/13 [00:58<00:00,  5.18it/s]
ITERATION - loss: 75.51:  77%|███████▋  | 10/13 [00:58<00:00,  6.12it/s]
ITERATION - loss: 77.06:  85%|████████▍ | 11/13 [00:59<00:00,  6.56it/s]
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ITERATION - loss: 39.78: 100%|██████████| 13/13 [00:59<00:00,  7.92it/s]
                                                                        

Training Results - Epoch: 24 Metrics: mse: 8.986, avep: 0.937, top5: 0.963, frac_mc: 0.866, top1: 0.978, mae: 2.969, loss: 75.253

ITERATION - loss: 39.78:   0%|          | 0/13 [01:00<00:01,  7.92it/s]
                                                                       

Validation Results - Epoch: 24 Metrics: mse: 8.997, avep: 0.935, top5: 0.952, frac_mc: 0.864, top1: 0.990, mae: 2.970, loss: 79.130

ITERATION - loss: 39.78:   0%|          | 0/13 [01:00<00:01,  7.92it/s]
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ITERATION - loss: 71.13:  23%|██▎       | 3/13 [01:00<00:02,  4.05it/s]
ITERATION - loss: 87.27:  38%|███▊      | 5/13 [01:00<00:01,  4.99it/s]
ITERATION - loss: 79.05:  54%|█████▍    | 7/13 [01:01<00:01,  5.82it/s]
ITERATION - loss: 77.96:  69%|██████▉   | 9/13 [01:01<00:00,  6.66it/s]
ITERATION - loss: 71.54:  77%|███████▋  | 10/13 [01:01<00:00,  7.18it/s]
ITERATION - loss: 82.86:  92%|█████████▏| 12/13 [01:01<00:00,  7.95it/s]
ITERATION - loss: 26.23: 100%|██████████| 13/13 [01:01<00:00,  7.95it/s]
Training Results - Epoch: 25 Metrics: mse: 11.567, avep: 0.936, top5: 0.965, frac_mc: 0.868, top1: 0.983, mae: 3.375, loss: 77.036

                                                                        

ITERATION - loss: 26.23:   0%|          | 0/13 [01:02<00:01,  7.95it/s]
Validation Results - Epoch: 25 Metrics: mse: 11.579, avep: 0.934, top5: 0.956, frac_mc: 0.858, top1: 0.990, mae: 3.376, loss: 81.758

                                                                       

ITERATION - loss: 26.23:   0%|          | 0/13 [01:02<00:01,  7.95it/s]
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ITERATION - loss: 132.63:  46%|████▌     | 6/13 [01:03<00:01,  4.92it/s]
ITERATION - loss: 80.81:  62%|██████▏   | 8/13 [01:03<00:00,  5.74it/s] 
ITERATION - loss: 76.40:  77%|███████▋  | 10/13 [01:03<00:00,  6.68it/s]
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ITERATION - loss: 26.68: 100%|██████████| 13/13 [01:04<00:00,  7.36it/s]
                                                                        

Training Results - Epoch: 26 Metrics: mse: 9.204, avep: 0.928, top5: 0.951, frac_mc: 0.858, top1: 0.988, mae: 3.004, loss: 87.334

ITERATION - loss: 26.68:   0%|          | 0/13 [01:05<00:01,  7.36it/s]
Validation Results - Epoch: 26 Metrics: mse: 9.215, avep: 0.927, top5: 0.954, frac_mc: 0.847, top1: 0.990, mae: 3.005, loss: 93.762

                                                                       

ITERATION - loss: 26.68:   0%|          | 0/13 [01:05<00:01,  7.36it/s]
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ITERATION - loss: 102.17:  69%|██████▉   | 9/13 [01:06<00:00,  6.87it/s]
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Training Results - Epoch: 27 Metrics: mse: 2.394, avep: 0.930, top5: 0.955, frac_mc: 0.859, top1: 0.990, mae: 1.494, loss: 95.745

ITERATION - loss: 54.20:   0%|          | 0/13 [01:07<00:01,  8.97it/s]
                                                                       

Validation Results - Epoch: 27 Metrics: mse: 2.407, avep: 0.929, top5: 0.952, frac_mc: 0.850, top1: 0.990, mae: 1.498, loss: 101.560

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ITERATION - loss: 75.64:  69%|██████▉   | 9/13 [01:08<00:00,  6.87it/s]
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Training Results - Epoch: 28 Metrics: mse: 3.263, avep: 0.935, top5: 0.959, frac_mc: 0.865, top1: 0.988, mae: 1.759, loss: 81.299

ITERATION - loss: 31.33:   0%|          | 0/13 [01:09<00:01,  7.74it/s]
                                                                       

Validation Results - Epoch: 28 Metrics: mse: 3.282, avep: 0.933, top5: 0.956, frac_mc: 0.854, top1: 0.990, mae: 1.764, loss: 84.877

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ITERATION - loss: 74.92:  85%|████████▍ | 11/13 [01:11<00:00,  6.67it/s]
ITERATION - loss: 45.91: 100%|██████████| 13/13 [01:11<00:00,  7.87it/s]
ITERATION - loss: 45.91: 100%|██████████| 13/13 [01:11<00:00,  7.87it/s]
                                                                        

Training Results - Epoch: 29 Metrics: mse: 3.812, avep: 0.937, top5: 0.963, frac_mc: 0.868, top1: 0.985, mae: 1.909, loss: 78.285

ITERATION - loss: 45.91:   0%|          | 0/13 [01:12<00:01,  7.87it/s]
                                                                       

Validation Results - Epoch: 29 Metrics: mse: 3.827, avep: 0.935, top5: 0.958, frac_mc: 0.855, top1: 0.990, mae: 1.913, loss: 81.273

ITERATION - loss: 45.91:   0%|          | 0/13 [01:12<00:01,  7.87it/s]
ITERATION - loss: 85.74:  15%|█▌        | 2/13 [01:12<00:03,  3.27it/s]
ITERATION - loss: 89.43:  23%|██▎       | 3/13 [01:13<00:02,  4.02it/s]
ITERATION - loss: 120.28:  31%|███       | 4/13 [01:13<00:01,  4.87it/s]
ITERATION - loss: 85.30:  46%|████▌     | 6/13 [01:13<00:01,  5.67it/s] 
ITERATION - loss: 96.73:  62%|██████▏   | 8/13 [01:13<00:00,  6.62it/s]
ITERATION - loss: 78.95:  77%|███████▋  | 10/13 [01:13<00:00,  7.31it/s]
ITERATION - loss: 57.30:  85%|████████▍ | 11/13 [01:13<00:00,  7.87it/s]
ITERATION - loss: 34.18: 100%|██████████| 13/13 [01:14<00:00,  8.87it/s]
ITERATION - loss: 34.18: 100%|██████████| 13/13 [01:14<00:00,  8.87it/s]
                                                                        

Training Results - Epoch: 30 Metrics: mse: 1.806, avep: 0.935, top5: 0.963, frac_mc: 0.867, top1: 0.985, mae: 1.284, loss: 83.350

ITERATION - loss: 34.18:   0%|          | 0/13 [01:14<00:01,  8.87it/s]
                                                                       

Validation Results - Epoch: 30 Metrics: mse: 1.817, avep: 0.932, top5: 0.960, frac_mc: 0.855, top1: 0.990, mae: 1.287, loss: 87.620

ITERATION - loss: 34.18:   0%|          | 0/13 [01:15<00:01,  8.87it/s]
ITERATION - loss: 68.98:  15%|█▌        | 2/13 [01:15<00:03,  3.50it/s]
ITERATION - loss: 82.88:  23%|██▎       | 3/13 [01:15<00:02,  4.35it/s]
ITERATION - loss: 74.93:  31%|███       | 4/13 [01:15<00:01,  5.22it/s]
ITERATION - loss: 93.21:  38%|███▊      | 5/13 [01:15<00:01,  5.85it/s]
ITERATION - loss: 71.17:  54%|█████▍    | 7/13 [01:15<00:00,  6.74it/s]
ITERATION - loss: 85.35:  62%|██████▏   | 8/13 [01:16<00:00,  7.29it/s]
ITERATION - loss: 80.05:  77%|███████▋  | 10/13 [01:16<00:00,  8.17it/s]
ITERATION - loss: 81.88:  92%|█████████▏| 12/13 [01:16<00:00,  8.50it/s]
ITERATION - loss: 35.92: 100%|██████████| 13/13 [01:16<00:00,  8.50it/s]
                                                                        

Training Results - Epoch: 31 Metrics: mse: 3.930, avep: 0.938, top5: 0.965, frac_mc: 0.868, top1: 0.985, mae: 1.939, loss: 75.978

ITERATION - loss: 35.92:   0%|          | 0/13 [01:17<00:01,  8.50it/s]
                                                                       

Validation Results - Epoch: 31 Metrics: mse: 3.948, avep: 0.934, top5: 0.958, frac_mc: 0.854, top1: 0.990, mae: 1.943, loss: 80.123

ITERATION - loss: 35.92:   0%|          | 0/13 [01:17<00:01,  8.50it/s]
ITERATION - loss: 75.22:   8%|▊         | 1/13 [01:17<00:05,  2.05it/s]
ITERATION - loss: 61.45:  23%|██▎       | 3/13 [01:17<00:03,  2.72it/s]
ITERATION - loss: 81.60:  31%|███       | 4/13 [01:18<00:02,  3.42it/s]
ITERATION - loss: 80.48:  46%|████▌     | 6/13 [01:18<00:01,  4.32it/s]
ITERATION - loss: 78.81:  54%|█████▍    | 7/13 [01:18<00:01,  5.12it/s]
ITERATION - loss: 73.69:  62%|██████▏   | 8/13 [01:18<00:00,  5.97it/s]
ITERATION - loss: 75.12:  69%|██████▉   | 9/13 [01:18<00:00,  6.68it/s]
ITERATION - loss: 76.24:  77%|███████▋  | 10/13 [01:18<00:00,  6.90it/s]
ITERATION - loss: 72.22:  92%|█████████▏| 12/13 [01:18<00:00,  7.69it/s]
ITERATION - loss: 33.81: 100%|██████████| 13/13 [01:18<00:00,  7.69it/s]
                                                                        

Training Results - Epoch: 32 Metrics: mse: 3.813, avep: 0.938, top5: 0.964, frac_mc: 0.869, top1: 0.985, mae: 1.909, loss: 74.790

ITERATION - loss: 33.81:   0%|          | 0/13 [01:19<00:01,  7.69it/s]
Validation Results - Epoch: 32 Metrics: mse: 3.836, avep: 0.936, top5: 0.964, frac_mc: 0.857, top1: 0.990, mae: 1.914, loss: 78.895

                                                                       

ITERATION - loss: 33.81:   0%|          | 0/13 [01:20<00:01,  7.69it/s]
ITERATION - loss: 71.41:   8%|▊         | 1/13 [01:20<00:06,  1.97it/s]
ITERATION - loss: 60.27:  15%|█▌        | 2/13 [01:20<00:04,  2.56it/s]
ITERATION - loss: 106.16:  31%|███       | 4/13 [01:20<00:02,  3.32it/s]
ITERATION - loss: 90.87:  38%|███▊      | 5/13 [01:20<00:01,  4.03it/s] 
ITERATION - loss: 66.95:  54%|█████▍    | 7/13 [01:20<00:01,  4.95it/s]
ITERATION - loss: 59.35:  62%|██████▏   | 8/13 [01:21<00:00,  5.62it/s]
ITERATION - loss: 93.69:  77%|███████▋  | 10/13 [01:21<00:00,  6.64it/s]
ITERATION - loss: 73.35:  92%|█████████▏| 12/13 [01:21<00:00,  7.18it/s]
ITERATION - loss: 25.10: 100%|██████████| 13/13 [01:21<00:00,  7.18it/s]
                                                                        

Training Results - Epoch: 33 Metrics: mse: 4.164, avep: 0.940, top5: 0.962, frac_mc: 0.870, top1: 0.988, mae: 1.998, loss: 73.950

ITERATION - loss: 25.10:   0%|          | 0/13 [01:22<00:01,  7.18it/s]
                                                                       

Validation Results - Epoch: 33 Metrics: mse: 4.188, avep: 0.937, top5: 0.964, frac_mc: 0.860, top1: 0.990, mae: 2.003, loss: 78.609

ITERATION - loss: 25.10:   0%|          | 0/13 [01:22<00:01,  7.18it/s]
ITERATION - loss: 91.74:   8%|▊         | 1/13 [01:22<00:05,  2.08it/s]
ITERATION - loss: 96.27:  23%|██▎       | 3/13 [01:22<00:03,  2.74it/s]
ITERATION - loss: 75.77:  31%|███       | 4/13 [01:23<00:02,  3.43it/s]
ITERATION - loss: 56.14:  46%|████▌     | 6/13 [01:23<00:01,  4.32it/s]
ITERATION - loss: 76.71:  54%|█████▍    | 7/13 [01:23<00:01,  5.19it/s]
ITERATION - loss: 94.51:  62%|██████▏   | 8/13 [01:23<00:00,  6.00it/s]
ITERATION - loss: 67.74:  77%|███████▋  | 10/13 [01:23<00:00,  6.98it/s]
ITERATION - loss: 84.22:  85%|████████▍ | 11/13 [01:23<00:00,  7.47it/s]
ITERATION - loss: 39.18: 100%|██████████| 13/13 [01:23<00:00,  8.67it/s]
ITERATION - loss: 39.18: 100%|██████████| 13/13 [01:23<00:00,  8.67it/s]
                                                                        

Training Results - Epoch: 34 Metrics: mse: 3.494, avep: 0.939, top5: 0.965, frac_mc: 0.871, top1: 0.983, mae: 1.824, loss: 74.364

ITERATION - loss: 39.18:   0%|          | 0/13 [01:24<00:01,  8.67it/s]
Validation Results - Epoch: 34 Metrics: mse: 3.520, avep: 0.936, top5: 0.960, frac_mc: 0.862, top1: 0.990, mae: 1.830, loss: 77.994

                                                                       

ITERATION - loss: 39.18:   0%|          | 0/13 [01:25<00:01,  8.67it/s]
ITERATION - loss: 84.44:  15%|█▌        | 2/13 [01:25<00:03,  3.53it/s]
ITERATION - loss: 64.83:  31%|███       | 4/13 [01:25<00:02,  4.33it/s]
ITERATION - loss: 90.04:  38%|███▊      | 5/13 [01:25<00:01,  5.21it/s]
ITERATION - loss: 85.78:  54%|█████▍    | 7/13 [01:25<00:00,  6.13it/s]
ITERATION - loss: 81.00:  69%|██████▉   | 9/13 [01:25<00:00,  7.07it/s]
ITERATION - loss: 76.38:  85%|████████▍ | 11/13 [01:26<00:00,  7.82it/s]
ITERATION - loss: 35.34: 100%|██████████| 13/13 [01:26<00:00,  9.14it/s]
ITERATION - loss: 35.34: 100%|██████████| 13/13 [01:26<00:00,  9.14it/s]
                                                                        

Training Results - Epoch: 35 Metrics: mse: 2.845, avep: 0.939, top5: 0.966, frac_mc: 0.870, top1: 0.985, mae: 1.637, loss: 74.158

ITERATION - loss: 35.34:   0%|          | 0/13 [01:27<00:01,  9.14it/s]
                                                                       

Validation Results - Epoch: 35 Metrics: mse: 2.873, avep: 0.936, top5: 0.960, frac_mc: 0.859, top1: 0.990, mae: 1.645, loss: 78.442

ITERATION - loss: 35.34:   0%|          | 0/13 [01:27<00:01,  9.14it/s]
ITERATION - loss: 87.83:  15%|█▌        | 2/13 [01:27<00:03,  3.55it/s]
ITERATION - loss: 72.78:  23%|██▎       | 3/13 [01:27<00:02,  4.32it/s]
ITERATION - loss: 77.10:  31%|███       | 4/13 [01:27<00:01,  5.11it/s]
ITERATION - loss: 78.45:  38%|███▊      | 5/13 [01:27<00:01,  5.98it/s]
ITERATION - loss: 71.60:  54%|█████▍    | 7/13 [01:28<00:00,  6.69it/s]
ITERATION - loss: 88.22:  69%|██████▉   | 9/13 [01:28<00:00,  7.63it/s]
ITERATION - loss: 69.74:  77%|███████▋  | 10/13 [01:28<00:00,  8.03it/s]
ITERATION - loss: 73.52:  92%|█████████▏| 12/13 [01:28<00:00,  8.82it/s]
ITERATION - loss: 18.84: 100%|██████████| 13/13 [01:28<00:00,  8.82it/s]
                                                                        

Training Results - Epoch: 36 Metrics: mse: 3.737, avep: 0.940, top5: 0.966, frac_mc: 0.872, top1: 0.980, mae: 1.889, loss: 72.050

ITERATION - loss: 18.84:   0%|          | 0/13 [01:29<00:01,  8.82it/s]
                                                                       

Validation Results - Epoch: 36 Metrics: mse: 3.770, avep: 0.937, top5: 0.964, frac_mc: 0.866, top1: 0.990, mae: 1.897, loss: 76.420

ITERATION - loss: 18.84:   0%|          | 0/13 [01:29<00:01,  8.82it/s]
ITERATION - loss: 70.68:  15%|█▌        | 2/13 [01:30<00:03,  3.32it/s]
ITERATION - loss: 58.21:  23%|██▎       | 3/13 [01:30<00:02,  4.08it/s]
ITERATION - loss: 78.55:  38%|███▊      | 5/13 [01:30<00:01,  4.98it/s]
ITERATION - loss: 65.62:  54%|█████▍    | 7/13 [01:30<00:00,  6.02it/s]
ITERATION - loss: 50.34:  69%|██████▉   | 9/13 [01:30<00:00,  6.79it/s]
ITERATION - loss: 84.41:  85%|████████▍ | 11/13 [01:30<00:00,  7.63it/s]
ITERATION - loss: 73.76:  92%|█████████▏| 12/13 [01:31<00:00,  8.00it/s]
ITERATION - loss: 56.57: 100%|██████████| 13/13 [01:31<00:00,  8.00it/s]
                                                                        

Training Results - Epoch: 37 Metrics: mse: 5.279, avep: 0.941, top5: 0.964, frac_mc: 0.875, top1: 0.980, mae: 2.258, loss: 75.018

ITERATION - loss: 56.57:   0%|          | 0/13 [01:32<00:01,  8.00it/s]
                                                                       

Validation Results - Epoch: 37 Metrics: mse: 5.316, avep: 0.937, top5: 0.962, frac_mc: 0.863, top1: 0.990, mae: 2.266, loss: 80.449

ITERATION - loss: 56.57:   0%|          | 0/13 [01:32<00:01,  8.00it/s]
ITERATION - loss: 102.05:   8%|▊         | 1/13 [01:32<00:05,  2.06it/s]
ITERATION - loss: 67.61:  23%|██▎       | 3/13 [01:32<00:03,  2.72it/s] 
ITERATION - loss: 53.55:  31%|███       | 4/13 [01:32<00:02,  3.35it/s]
ITERATION - loss: 78.23:  46%|████▌     | 6/13 [01:32<00:01,  4.21it/s]
ITERATION - loss: 76.35:  54%|█████▍    | 7/13 [01:33<00:01,  5.03it/s]
ITERATION - loss: 89.63:  62%|██████▏   | 8/13 [01:33<00:00,  5.85it/s]
ITERATION - loss: 87.43:  77%|███████▋  | 10/13 [01:33<00:00,  6.77it/s]
ITERATION - loss: 50.87:  85%|████████▍ | 11/13 [01:33<00:00,  7.14it/s]
ITERATION - loss: 46.51: 100%|██████████| 13/13 [01:33<00:00,  8.40it/s]
ITERATION - loss: 46.51: 100%|██████████| 13/13 [01:33<00:00,  8.40it/s]
                                                                        

Training Results - Epoch: 38 Metrics: mse: 2.323, avep: 0.939, top5: 0.966, frac_mc: 0.870, top1: 0.983, mae: 1.471, loss: 76.931

ITERATION - loss: 46.51:   0%|          | 0/13 [01:34<00:01,  8.40it/s]
                                                                       

Validation Results - Epoch: 38 Metrics: mse: 2.347, avep: 0.935, top5: 0.958, frac_mc: 0.856, top1: 0.990, mae: 1.478, loss: 81.945

ITERATION - loss: 46.51:   0%|          | 0/13 [01:34<00:01,  8.40it/s]
ITERATION - loss: 91.82:  15%|█▌        | 2/13 [01:34<00:03,  3.50it/s]
ITERATION - loss: 84.39:  31%|███       | 4/13 [01:35<00:02,  4.30it/s]
ITERATION - loss: 88.41:  46%|████▌     | 6/13 [01:35<00:01,  5.03it/s]
ITERATION - loss: 57.44:  62%|██████▏   | 8/13 [01:35<00:00,  5.95it/s]
ITERATION - loss: 66.30:  77%|███████▋  | 10/13 [01:35<00:00,  6.76it/s]
ITERATION - loss: 77.76:  92%|█████████▏| 12/13 [01:35<00:00,  7.55it/s]
ITERATION - loss: 42.19: 100%|██████████| 13/13 [01:36<00:00,  7.55it/s]
                                                                        

Training Results - Epoch: 39 Metrics: mse: 3.609, avep: 0.941, top5: 0.967, frac_mc: 0.872, top1: 0.983, mae: 1.855, loss: 72.318

ITERATION - loss: 42.19:   0%|          | 0/13 [01:36<00:01,  7.55it/s]
Validation Results - Epoch: 39 Metrics: mse: 3.637, avep: 0.937, top5: 0.960, frac_mc: 0.860, top1: 0.990, mae: 1.862, loss: 76.760

                                                                       

ITERATION - loss: 42.19:   0%|          | 0/13 [01:37<00:01,  7.55it/s]
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ITERATION - loss: 51.83:  54%|█████▍    | 7/13 [01:37<00:01,  5.04it/s]
ITERATION - loss: 68.13:  69%|██████▉   | 9/13 [01:38<00:00,  5.96it/s]
ITERATION - loss: 74.33:  77%|███████▋  | 10/13 [01:38<00:00,  6.73it/s]
ITERATION - loss: 79.10:  92%|█████████▏| 12/13 [01:38<00:00,  7.47it/s]
ITERATION - loss: 41.56: 100%|██████████| 13/13 [01:38<00:00,  7.47it/s]
                                                                        

Training Results - Epoch: 40 Metrics: mse: 5.202, avep: 0.941, top5: 0.967, frac_mc: 0.873, top1: 0.980, mae: 2.241, loss: 74.620

ITERATION - loss: 41.56:   0%|          | 0/13 [01:39<00:01,  7.47it/s]
                                                                       

Validation Results - Epoch: 40 Metrics: mse: 5.236, avep: 0.937, top5: 0.964, frac_mc: 0.864, top1: 0.990, mae: 2.248, loss: 78.812

ITERATION - loss: 41.56:   0%|          | 0/13 [01:39<00:01,  7.47it/s]
ITERATION - loss: 77.59:   8%|▊         | 1/13 [01:39<00:05,  2.07it/s]
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ITERATION - loss: 58.61:  31%|███       | 4/13 [01:40<00:02,  3.47it/s]
ITERATION - loss: 87.79:  38%|███▊      | 5/13 [01:40<00:01,  4.17it/s]
ITERATION - loss: 85.39:  46%|████▌     | 6/13 [01:40<00:01,  5.05it/s]
ITERATION - loss: 58.83:  62%|██████▏   | 8/13 [01:40<00:00,  5.94it/s]
ITERATION - loss: 86.09:  77%|███████▋  | 10/13 [01:40<00:00,  6.91it/s]
ITERATION - loss: 82.80:  92%|█████████▏| 12/13 [01:40<00:00,  7.58it/s]
ITERATION - loss: 29.42: 100%|██████████| 13/13 [01:40<00:00,  7.58it/s]
                                                                        

Training Results - Epoch: 41 Metrics: mse: 3.792, avep: 0.941, top5: 0.967, frac_mc: 0.874, top1: 0.978, mae: 1.904, loss: 71.694

ITERATION - loss: 29.42:   0%|          | 0/13 [01:41<00:01,  7.58it/s]
                                                                       

Validation Results - Epoch: 41 Metrics: mse: 3.827, avep: 0.938, top5: 0.964, frac_mc: 0.863, top1: 0.990, mae: 1.912, loss: 75.710

ITERATION - loss: 29.42:   0%|          | 0/13 [01:42<00:01,  7.58it/s]
ITERATION - loss: 92.02:   8%|▊         | 1/13 [01:42<00:05,  2.02it/s]
ITERATION - loss: 70.95:  23%|██▎       | 3/13 [01:42<00:03,  2.66it/s]
ITERATION - loss: 61.81:  31%|███       | 4/13 [01:42<00:02,  3.35it/s]
ITERATION - loss: 71.05:  46%|████▌     | 6/13 [01:42<00:01,  4.23it/s]
ITERATION - loss: 89.10:  54%|█████▍    | 7/13 [01:42<00:01,  5.05it/s]
ITERATION - loss: 73.77:  62%|██████▏   | 8/13 [01:42<00:00,  5.89it/s]
ITERATION - loss: 69.88:  69%|██████▉   | 9/13 [01:42<00:00,  6.45it/s]
ITERATION - loss: 79.71:  77%|███████▋  | 10/13 [01:43<00:00,  6.84it/s]
ITERATION - loss: 68.37:  92%|█████████▏| 12/13 [01:43<00:00,  7.60it/s]
ITERATION - loss: 37.67: 100%|██████████| 13/13 [01:43<00:00,  7.60it/s]
                                                                        

Training Results - Epoch: 42 Metrics: mse: 3.000, avep: 0.941, top5: 0.967, frac_mc: 0.871, top1: 0.983, mae: 1.684, loss: 71.887

ITERATION - loss: 37.67:   0%|          | 0/13 [01:44<00:01,  7.60it/s]
                                                                       

Validation Results - Epoch: 42 Metrics: mse: 3.032, avep: 0.937, top5: 0.964, frac_mc: 0.861, top1: 0.990, mae: 1.692, loss: 77.066

ITERATION - loss: 37.67:   0%|          | 0/13 [01:44<00:01,  7.60it/s]
ITERATION - loss: 90.63:   8%|▊         | 1/13 [01:44<00:05,  2.01it/s]
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ITERATION - loss: 70.83:  31%|███       | 4/13 [01:44<00:02,  3.39it/s]
ITERATION - loss: 81.98:  38%|███▊      | 5/13 [01:45<00:01,  4.17it/s]
ITERATION - loss: 58.36:  54%|█████▍    | 7/13 [01:45<00:01,  5.11it/s]
ITERATION - loss: 92.88:  69%|██████▉   | 9/13 [01:45<00:00,  5.93it/s]
ITERATION - loss: 64.05:  85%|████████▍ | 11/13 [01:45<00:00,  6.86it/s]
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ITERATION - loss: 20.93: 100%|██████████| 13/13 [01:45<00:00,  7.39it/s]
                                                                        

Training Results - Epoch: 43 Metrics: mse: 4.776, avep: 0.942, top5: 0.966, frac_mc: 0.874, top1: 0.983, mae: 2.145, loss: 71.382

ITERATION - loss: 20.93:   0%|          | 0/13 [01:46<00:01,  7.39it/s]
                                                                       

Validation Results - Epoch: 43 Metrics: mse: 4.812, avep: 0.939, top5: 0.964, frac_mc: 0.867, top1: 0.990, mae: 2.152, loss: 76.592

ITERATION - loss: 20.93:   0%|          | 0/13 [01:46<00:01,  7.39it/s]
ITERATION - loss: 78.51:   8%|▊         | 1/13 [01:47<00:05,  2.03it/s]
ITERATION - loss: 63.45:  23%|██▎       | 3/13 [01:47<00:03,  2.68it/s]
ITERATION - loss: 74.27:  31%|███       | 4/13 [01:47<00:02,  3.36it/s]
ITERATION - loss: 57.06:  46%|████▌     | 6/13 [01:47<00:01,  4.26it/s]
ITERATION - loss: 76.58:  62%|██████▏   | 8/13 [01:47<00:00,  5.14it/s]
ITERATION - loss: 64.51:  77%|███████▋  | 10/13 [01:47<00:00,  6.08it/s]
ITERATION - loss: 81.58:  85%|████████▍ | 11/13 [01:48<00:00,  6.70it/s]
ITERATION - loss: 32.70: 100%|██████████| 13/13 [01:48<00:00,  7.97it/s]
ITERATION - loss: 32.70: 100%|██████████| 13/13 [01:48<00:00,  7.97it/s]
                                                                        

Training Results - Epoch: 44 Metrics: mse: 4.873, avep: 0.941, top5: 0.966, frac_mc: 0.876, top1: 0.980, mae: 2.167, loss: 73.206

ITERATION - loss: 32.70:   0%|          | 0/13 [01:49<00:01,  7.97it/s]
                                                                       

Validation Results - Epoch: 44 Metrics: mse: 4.919, avep: 0.938, top5: 0.964, frac_mc: 0.858, top1: 0.990, mae: 2.176, loss: 80.567

ITERATION - loss: 32.70:   0%|          | 0/13 [01:49<00:01,  7.97it/s]
ITERATION - loss: 75.06:  15%|█▌        | 2/13 [01:49<00:03,  3.42it/s]
ITERATION - loss: 57.05:  31%|███       | 4/13 [01:49<00:02,  4.20it/s]
ITERATION - loss: 55.59:  46%|████▌     | 6/13 [01:50<00:01,  5.13it/s]
ITERATION - loss: 62.79:  54%|█████▍    | 7/13 [01:50<00:01,  5.84it/s]
ITERATION - loss: 69.06:  69%|██████▉   | 9/13 [01:50<00:00,  6.54it/s]
ITERATION - loss: 89.11:  77%|███████▋  | 10/13 [01:50<00:00,  6.99it/s]
ITERATION - loss: 71.12:  92%|█████████▏| 12/13 [01:50<00:00,  7.74it/s]
ITERATION - loss: 37.23: 100%|██████████| 13/13 [01:50<00:00,  7.74it/s]
                                                                        

Training Results - Epoch: 45 Metrics: mse: 3.724, avep: 0.941, top5: 0.968, frac_mc: 0.873, top1: 0.980, mae: 1.886, loss: 72.082

ITERATION - loss: 37.23:   0%|          | 0/13 [01:51<00:01,  7.74it/s]
                                                                       

Validation Results - Epoch: 45 Metrics: mse: 3.768, avep: 0.939, top5: 0.966, frac_mc: 0.861, top1: 0.990, mae: 1.897, loss: 76.171

ITERATION - loss: 37.23:   0%|          | 0/13 [01:51<00:01,  7.74it/s]
ITERATION - loss: 63.10:   8%|▊         | 1/13 [01:51<00:05,  2.03it/s]
ITERATION - loss: 66.95:  15%|█▌        | 2/13 [01:52<00:04,  2.62it/s]
ITERATION - loss: 67.02:  31%|███       | 4/13 [01:52<00:02,  3.41it/s]
ITERATION - loss: 65.17:  46%|████▌     | 6/13 [01:52<00:01,  4.23it/s]
ITERATION - loss: 74.54:  62%|██████▏   | 8/13 [01:52<00:00,  5.11it/s]
ITERATION - loss: 97.34:  69%|██████▉   | 9/13 [01:52<00:00,  5.85it/s]
ITERATION - loss: 56.22:  85%|████████▍ | 11/13 [01:52<00:00,  6.81it/s]
ITERATION - loss: 85.42:  92%|█████████▏| 12/13 [01:53<00:00,  7.08it/s]
ITERATION - loss: 34.76: 100%|██████████| 13/13 [01:53<00:00,  7.08it/s]
                                                                        

Training Results - Epoch: 46 Metrics: mse: 4.130, avep: 0.941, top5: 0.969, frac_mc: 0.873, top1: 0.978, mae: 1.990, loss: 70.924

ITERATION - loss: 34.76:   0%|          | 0/13 [01:54<00:01,  7.08it/s]
                                                                       

Validation Results - Epoch: 46 Metrics: mse: 4.167, avep: 0.939, top5: 0.964, frac_mc: 0.863, top1: 0.990, mae: 1.999, loss: 74.775

ITERATION - loss: 34.76:   0%|          | 0/13 [01:54<00:01,  7.08it/s]
ITERATION - loss: 64.60:   8%|▊         | 1/13 [01:54<00:05,  2.06it/s]
ITERATION - loss: 80.76:  15%|█▌        | 2/13 [01:54<00:04,  2.69it/s]
ITERATION - loss: 74.38:  23%|██▎       | 3/13 [01:54<00:02,  3.43it/s]
ITERATION - loss: 84.22:  38%|███▊      | 5/13 [01:54<00:01,  4.25it/s]
ITERATION - loss: 66.62:  54%|█████▍    | 7/13 [01:55<00:01,  5.21it/s]
ITERATION - loss: 85.38:  62%|██████▏   | 8/13 [01:55<00:00,  5.91it/s]
ITERATION - loss: 72.73:  77%|███████▋  | 10/13 [01:55<00:00,  6.82it/s]
ITERATION - loss: 58.99:  85%|████████▍ | 11/13 [01:55<00:00,  6.97it/s]
ITERATION - loss: 68.29:  92%|█████████▏| 12/13 [01:55<00:00,  7.51it/s]
ITERATION - loss: 41.71: 100%|██████████| 13/13 [01:55<00:00,  7.51it/s]
                                                                        

Training Results - Epoch: 47 Metrics: mse: 3.882, avep: 0.942, top5: 0.968, frac_mc: 0.874, top1: 0.983, mae: 1.927, loss: 70.344

ITERATION - loss: 41.71:   0%|          | 0/13 [01:56<00:01,  7.51it/s]
                                                                       

Validation Results - Epoch: 47 Metrics: mse: 3.919, avep: 0.938, top5: 0.964, frac_mc: 0.865, top1: 0.990, mae: 1.935, loss: 75.163

ITERATION - loss: 41.71:   0%|          | 0/13 [01:56<00:01,  7.51it/s]
ITERATION - loss: 58.05:   8%|▊         | 1/13 [01:56<00:06,  1.98it/s]
ITERATION - loss: 60.81:  23%|██▎       | 3/13 [01:57<00:03,  2.59it/s]
ITERATION - loss: 71.50:  38%|███▊      | 5/13 [01:57<00:02,  3.36it/s]
ITERATION - loss: 59.62:  46%|████▌     | 6/13 [01:57<00:01,  4.08it/s]
ITERATION - loss: 76.02:  62%|██████▏   | 8/13 [01:57<00:00,  5.03it/s]
ITERATION - loss: 71.46:  69%|██████▉   | 9/13 [01:57<00:00,  5.82it/s]
ITERATION - loss: 67.05:  85%|████████▍ | 11/13 [01:57<00:00,  6.71it/s]
ITERATION - loss: 62.15: 100%|██████████| 13/13 [01:58<00:00,  7.84it/s]
ITERATION - loss: 62.15: 100%|██████████| 13/13 [01:58<00:00,  7.84it/s]
                                                                        

Training Results - Epoch: 48 Metrics: mse: 3.730, avep: 0.943, top5: 0.968, frac_mc: 0.873, top1: 0.983, mae: 1.886, loss: 70.345

ITERATION - loss: 62.15:   0%|          | 0/13 [01:59<00:01,  7.84it/s]
                                                                       

Validation Results - Epoch: 48 Metrics: mse: 3.773, avep: 0.939, top5: 0.964, frac_mc: 0.860, top1: 0.990, mae: 1.896, loss: 75.228

ITERATION - loss: 62.15:   0%|          | 0/13 [01:59<00:01,  7.84it/s]
ITERATION - loss: 66.14:  15%|█▌        | 2/13 [01:59<00:03,  3.42it/s]
ITERATION - loss: 64.93:  31%|███       | 4/13 [01:59<00:02,  4.32it/s]
ITERATION - loss: 70.28:  38%|███▊      | 5/13 [01:59<00:01,  5.02it/s]
ITERATION - loss: 92.50:  54%|█████▍    | 7/13 [01:59<00:01,  5.96it/s]
ITERATION - loss: 65.51:  69%|██████▉   | 9/13 [02:00<00:00,  6.74it/s]
ITERATION - loss: 80.32:  85%|████████▍ | 11/13 [02:00<00:00,  7.46it/s]
ITERATION - loss: 95.44:  92%|█████████▏| 12/13 [02:00<00:00,  7.78it/s]
ITERATION - loss: 28.22: 100%|██████████| 13/13 [02:00<00:00,  7.78it/s]
Training Results - Epoch: 49 Metrics: mse: 4.185, avep: 0.943, top5: 0.969, frac_mc: 0.874, top1: 0.983, mae: 2.003, loss: 69.462

                                                                        

ITERATION - loss: 28.22:   0%|          | 0/13 [02:01<00:01,  7.78it/s]
                                                                       

Validation Results - Epoch: 49 Metrics: mse: 4.227, avep: 0.938, top5: 0.964, frac_mc: 0.864, top1: 0.980, mae: 2.012, loss: 78.969

ITERATION - loss: 28.22:   0%|          | 0/13 [02:01<00:01,  7.78it/s]
ITERATION - loss: 91.17:   8%|▊         | 1/13 [02:01<00:05,  2.07it/s]
ITERATION - loss: 70.54:  23%|██▎       | 3/13 [02:01<00:03,  2.74it/s]
ITERATION - loss: 56.56:  31%|███       | 4/13 [02:02<00:02,  3.50it/s]
ITERATION - loss: 70.75:  38%|███▊      | 5/13 [02:02<00:01,  4.34it/s]
ITERATION - loss: 75.49:  54%|█████▍    | 7/13 [02:02<00:01,  5.27it/s]
ITERATION - loss: 78.64:  62%|██████▏   | 8/13 [02:02<00:00,  5.96it/s]
ITERATION - loss: 62.89:  77%|███████▋  | 10/13 [02:02<00:00,  6.76it/s]
ITERATION - loss: 81.35:  85%|████████▍ | 11/13 [02:02<00:00,  6.85it/s]
ITERATION - loss: 41.90: 100%|██████████| 13/13 [02:02<00:00,  8.10it/s]
ITERATION - loss: 41.90: 100%|██████████| 13/13 [02:02<00:00,  8.10it/s]
                                                                        

Training Results - Epoch: 50 Metrics: mse: 2.646, avep: 0.942, top5: 0.968, frac_mc: 0.873, top1: 0.980, mae: 1.575, loss: 72.295

ITERATION - loss: 41.90:   0%|          | 0/13 [02:03<00:01,  8.10it/s]
                                                                       

Validation Results - Epoch: 50 Metrics: mse: 2.687, avep: 0.938, top5: 0.964, frac_mc: 0.860, top1: 0.990, mae: 1.587, loss: 78.100

ITERATION - loss: 41.90:   0%|          | 0/13 [02:04<00:01,  8.10it/s]
ITERATION - loss: 87.65:  15%|█▌        | 2/13 [02:04<00:03,  3.41it/s]
ITERATION - loss: 71.08:  31%|███       | 4/13 [02:04<00:02,  4.24it/s]
ITERATION - loss: 46.73:  46%|████▌     | 6/13 [02:04<00:01,  5.18it/s]
ITERATION - loss: 77.63:  54%|█████▍    | 7/13 [02:04<00:01,  5.71it/s]
ITERATION - loss: 77.47:  69%|██████▉   | 9/13 [02:05<00:00,  6.59it/s]
ITERATION - loss: 96.59:  77%|███████▋  | 10/13 [02:05<00:00,  7.01it/s]
ITERATION - loss: 67.08:  92%|█████████▏| 12/13 [02:05<00:00,  7.72it/s]
ITERATION - loss: 24.67: 100%|██████████| 13/13 [02:05<00:00,  7.72it/s]
                                                                        

Training Results - Epoch: 51 Metrics: mse: 4.766, avep: 0.943, top5: 0.968, frac_mc: 0.874, top1: 0.980, mae: 2.141, loss: 73.148

ITERATION - loss: 24.67:   0%|          | 0/13 [02:06<00:01,  7.72it/s]
                                                                       

Validation Results - Epoch: 51 Metrics: mse: 4.815, avep: 0.940, top5: 0.968, frac_mc: 0.863, top1: 0.980, mae: 2.152, loss: 98.279

ITERATION - loss: 24.67:   0%|          | 0/13 [02:06<00:01,  7.72it/s]
ITERATION - loss: 75.46:   8%|▊         | 1/13 [02:06<00:05,  2.06it/s]
ITERATION - loss: 66.09:  15%|█▌        | 2/13 [02:06<00:04,  2.65it/s]
ITERATION - loss: 63.33:  31%|███       | 4/13 [02:06<00:02,  3.45it/s]
ITERATION - loss: 76.75:  46%|████▌     | 6/13 [02:07<00:01,  4.28it/s]
ITERATION - loss: 74.00:  62%|██████▏   | 8/13 [02:07<00:00,  5.22it/s]
ITERATION - loss: 76.08:  69%|██████▉   | 9/13 [02:07<00:00,  5.90it/s]
ITERATION - loss: 73.27:  85%|████████▍ | 11/13 [02:07<00:00,  6.80it/s]
ITERATION - loss: 64.60:  92%|█████████▏| 12/13 [02:07<00:00,  7.15it/s]
ITERATION - loss: 45.65: 100%|██████████| 13/13 [02:07<00:00,  7.15it/s]
Training Results - Epoch: 52 Metrics: mse: 1.594, avep: 0.939, top5: 0.965, frac_mc: 0.870, top1: 0.983, mae: 1.199, loss: 80.619

                                                                        

ITERATION - loss: 45.65:   0%|          | 0/13 [02:08<00:01,  7.15it/s]
                                                                       

Validation Results - Epoch: 52 Metrics: mse: 1.614, avep: 0.935, top5: 0.956, frac_mc: 0.858, top1: 0.990, mae: 1.207, loss: 86.231

ITERATION - loss: 45.65:   0%|          | 0/13 [02:08<00:01,  7.15it/s]
ITERATION - loss: 95.63:   8%|▊         | 1/13 [02:09<00:05,  2.06it/s]
ITERATION - loss: 80.85:  15%|█▌        | 2/13 [02:09<00:04,  2.68it/s]
ITERATION - loss: 110.98:  23%|██▎       | 3/13 [02:09<00:02,  3.42it/s]
ITERATION - loss: 82.67:  38%|███▊      | 5/13 [02:09<00:01,  4.22it/s] 
ITERATION - loss: 88.91:  54%|█████▍    | 7/13 [02:09<00:01,  4.95it/s]
ITERATION - loss: 70.13:  69%|██████▉   | 9/13 [02:09<00:00,  5.98it/s]
ITERATION - loss: 48.61:  77%|███████▋  | 10/13 [02:10<00:00,  6.73it/s]
ITERATION - loss: 60.50:  85%|████████▍ | 11/13 [02:10<00:00,  7.05it/s]
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ITERATION - loss: 32.76: 100%|██████████| 13/13 [02:10<00:00,  8.31it/s]
                                                                        

Training Results - Epoch: 53 Metrics: mse: 5.040, avep: 0.942, top5: 0.966, frac_mc: 0.875, top1: 0.985, mae: 2.205, loss: 72.871

ITERATION - loss: 32.76:   0%|          | 0/13 [02:11<00:01,  8.31it/s]
                                                                       

Validation Results - Epoch: 53 Metrics: mse: 5.075, avep: 0.941, top5: 0.964, frac_mc: 0.865, top1: 0.990, mae: 2.212, loss: 77.897

ITERATION - loss: 32.76:   0%|          | 0/13 [02:11<00:01,  8.31it/s]
ITERATION - loss: 64.75:  15%|█▌        | 2/13 [02:11<00:03,  3.33it/s]
ITERATION - loss: 81.13:  31%|███       | 4/13 [02:11<00:02,  4.20it/s]
ITERATION - loss: 85.19:  46%|████▌     | 6/13 [02:12<00:01,  5.06it/s]
ITERATION - loss: 84.28:  62%|██████▏   | 8/13 [02:12<00:00,  6.05it/s]
ITERATION - loss: 89.98:  77%|███████▋  | 10/13 [02:12<00:00,  6.80it/s]
ITERATION - loss: 76.40:  92%|█████████▏| 12/13 [02:12<00:00,  7.38it/s]
ITERATION - loss: 23.64: 100%|██████████| 13/13 [02:12<00:00,  7.38it/s]
                                                                        

Training Results - Epoch: 54 Metrics: mse: 3.632, avep: 0.941, top5: 0.967, frac_mc: 0.872, top1: 0.983, mae: 1.861, loss: 71.171

ITERATION - loss: 23.64:   0%|          | 0/13 [02:13<00:01,  7.38it/s]
Validation Results - Epoch: 54 Metrics: mse: 3.667, avep: 0.938, top5: 0.964, frac_mc: 0.862, top1: 0.990, mae: 1.869, loss: 75.952

                                                                       

ITERATION - loss: 23.64:   0%|          | 0/13 [02:13<00:01,  7.38it/s]
ITERATION - loss: 80.77:   8%|▊         | 1/13 [02:14<00:06,  1.98it/s]
ITERATION - loss: 62.71:  23%|██▎       | 3/13 [02:14<00:03,  2.63it/s]
ITERATION - loss: 53.46:  38%|███▊      | 5/13 [02:14<00:02,  3.36it/s]
ITERATION - loss: 83.66:  46%|████▌     | 6/13 [02:14<00:01,  4.18it/s]
ITERATION - loss: 67.79:  62%|██████▏   | 8/13 [02:14<00:00,  5.06it/s]
ITERATION - loss: 70.79:  69%|██████▉   | 9/13 [02:14<00:00,  5.94it/s]
ITERATION - loss: 98.75:  85%|████████▍ | 11/13 [02:15<00:00,  6.68it/s]
ITERATION - loss: 29.83: 100%|██████████| 13/13 [02:15<00:00,  7.85it/s]
ITERATION - loss: 29.83: 100%|██████████| 13/13 [02:15<00:00,  7.85it/s]
Training Results - Epoch: 55 Metrics: mse: 4.106, avep: 0.942, top5: 0.968, frac_mc: 0.873, top1: 0.985, mae: 1.983, loss: 70.594

                                                                        

ITERATION - loss: 29.83:   0%|          | 0/13 [02:16<00:01,  7.85it/s]
                                                                       

Validation Results - Epoch: 55 Metrics: mse: 4.143, avep: 0.940, top5: 0.964, frac_mc: 0.864, top1: 0.990, mae: 1.992, loss: 75.371

ITERATION - loss: 29.83:   0%|          | 0/13 [02:16<00:01,  7.85it/s]
ITERATION - loss: 86.07:  15%|█▌        | 2/13 [02:16<00:03,  3.29it/s]
ITERATION - loss: 64.12:  23%|██▎       | 3/13 [02:16<00:02,  4.07it/s]
ITERATION - loss: 62.79:  38%|███▊      | 5/13 [02:16<00:01,  5.03it/s]
ITERATION - loss: 80.85:  46%|████▌     | 6/13 [02:17<00:01,  5.76it/s]
ITERATION - loss: 55.22:  62%|██████▏   | 8/13 [02:17<00:00,  6.72it/s]
ITERATION - loss: 72.57:  77%|███████▋  | 10/13 [02:17<00:00,  7.35it/s]
ITERATION - loss: 64.79:  92%|█████████▏| 12/13 [02:17<00:00,  8.17it/s]
ITERATION - loss: 35.65: 100%|██████████| 13/13 [02:17<00:00,  8.17it/s]
                                                                        

Training Results - Epoch: 56 Metrics: mse: 3.586, avep: 0.942, top5: 0.968, frac_mc: 0.873, top1: 0.985, mae: 1.848, loss: 69.759

ITERATION - loss: 35.65:   0%|          | 0/13 [02:18<00:01,  8.17it/s]
                                                                       
Validation Results - Epoch: 56 Metrics: mse: 3.624, avep: 0.939, top5: 0.964, frac_mc: 0.863, top1: 0.990, mae: 1.857, loss: 74.985

ITERATION - loss: 35.65:   0%|          | 0/13 [02:18<00:01,  8.17it/s]
                                                                       
mse: 3.624
avep: 0.939
top5: 0.964
frac_mc: 0.863
top1: 0.990
mae: 1.857
loss: 74.985
