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Training Results - Epoch: 0 Metrics: mse: 22.744, avep: 0.915, top5: 0.915, frac_mc: 0.883, top1: 0.943, mae: 3.607, loss: 0.092

                                                              

Validation Results - Epoch: 0 Metrics: mse: 22.819, avep: 0.920, top5: 0.926, frac_mc: 0.891, top1: 0.960, mae: 3.702, loss: 0.098

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ITERATION - loss: 0.09:  46%|████▌     | 6/13 [00:01<00:02,  2.99it/s]
ITERATION - loss: 0.12:  54%|█████▍    | 7/13 [00:02<00:01,  3.66it/s]
ITERATION - loss: 0.11:  62%|██████▏   | 8/13 [00:02<00:01,  4.40it/s]
ITERATION - loss: 0.09:  69%|██████▉   | 9/13 [00:02<00:00,  5.11it/s]
ITERATION - loss: 0.07:  77%|███████▋  | 10/13 [00:02<00:00,  5.65it/s]
ITERATION - loss: 0.08:  92%|█████████▏| 12/13 [00:02<00:00,  6.34it/s]
ITERATION - loss: 0.09: 100%|██████████| 13/13 [00:02<00:00,  6.34it/s]
                                                                       

Training Results - Epoch: 1 Metrics: mse: 20.544, avep: 0.916, top5: 0.910, frac_mc: 0.873, top1: 0.932, mae: 3.409, loss: 0.084

ITERATION - loss: 0.09:   0%|          | 0/13 [00:03<00:02,  6.34it/s]
Validation Results - Epoch: 1 Metrics: mse: 20.587, avep: 0.919, top5: 0.914, frac_mc: 0.877, top1: 0.950, mae: 3.498, loss: 0.089

                                                                      

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ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:05<00:00,  6.90it/s]
ITERATION - loss: 0.04:  77%|███████▋  | 10/13 [00:05<00:00,  6.93it/s]
ITERATION - loss: 0.03:  85%|████████▍ | 11/13 [00:05<00:00,  7.27it/s]
ITERATION - loss: 0.05:  92%|█████████▏| 12/13 [00:05<00:00,  7.42it/s]
ITERATION - loss: 0.06: 100%|██████████| 13/13 [00:05<00:00,  7.42it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 8.762, avep: 0.915, top5: 0.910, frac_mc: 0.873, top1: 0.927, mae: 2.429, loss: 0.051

ITERATION - loss: 0.06:   0%|          | 0/13 [00:06<00:01,  7.42it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 8.598, avep: 0.919, top5: 0.914, frac_mc: 0.878, top1: 0.950, mae: 2.416, loss: 0.048

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ITERATION - loss: 0.04:  23%|██▎       | 3/13 [00:07<00:03,  2.55it/s]
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ITERATION - loss: 0.04:  54%|█████▍    | 7/13 [00:07<00:01,  5.45it/s]
ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:07<00:00,  6.25it/s]
ITERATION - loss: 0.05:  77%|███████▋  | 10/13 [00:07<00:00,  6.53it/s]
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ITERATION - loss: 0.04:  92%|█████████▏| 12/13 [00:08<00:00,  7.52it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:08<00:00,  7.52it/s]
                                                                       

Training Results - Epoch: 3 Metrics: mse: 8.581, avep: 0.916, top5: 0.910, frac_mc: 0.873, top1: 0.932, mae: 2.381, loss: 0.042

ITERATION - loss: 0.04:   0%|          | 0/13 [00:09<00:01,  7.52it/s]
                                                                      

Validation Results - Epoch: 3 Metrics: mse: 8.429, avep: 0.919, top5: 0.914, frac_mc: 0.877, top1: 0.950, mae: 2.325, loss: 0.042

ITERATION - loss: 0.04:   0%|          | 0/13 [00:09<00:01,  7.52it/s]
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ITERATION - loss: 0.03:  31%|███       | 4/13 [00:09<00:02,  3.29it/s]
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ITERATION - loss: 0.04:  62%|██████▏   | 8/13 [00:10<00:00,  6.08it/s]
ITERATION - loss: 0.05:  69%|██████▉   | 9/13 [00:10<00:00,  6.87it/s]
ITERATION - loss: 0.04:  77%|███████▋  | 10/13 [00:10<00:00,  6.96it/s]
ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:10<00:00,  7.23it/s]
ITERATION - loss: 0.04:  92%|█████████▏| 12/13 [00:10<00:00,  6.66it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:10<00:00,  6.66it/s]
Training Results - Epoch: 4 Metrics: mse: 8.239, avep: 0.916, top5: 0.910, frac_mc: 0.873, top1: 0.932, mae: 2.358, loss: 0.041

                                                                       

ITERATION - loss: 0.04:   0%|          | 0/13 [00:12<00:01,  6.66it/s]
Validation Results - Epoch: 4 Metrics: mse: 8.084, avep: 0.919, top5: 0.914, frac_mc: 0.877, top1: 0.950, mae: 2.298, loss: 0.041

                                                                      

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ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:13<00:00,  5.97it/s]
ITERATION - loss: 0.04:  77%|███████▋  | 10/13 [00:13<00:00,  6.29it/s]
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ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:13<00:00,  7.19it/s]
                                                                       

ITERATION - loss: 0.04:   0%|          | 0/13 [00:14<00:01,  7.19it/s]
Training Results - Epoch: 5 Metrics: mse: 7.687, avep: 0.916, top5: 0.910, frac_mc: 0.873, top1: 0.932, mae: 2.320, loss: 0.040

Validation Results - Epoch: 5 Metrics: mse: 7.524, avep: 0.919, top5: 0.914, frac_mc: 0.878, top1: 0.950, mae: 2.260, loss: 0.040

                                                                      

ITERATION - loss: 0.04:   0%|          | 0/13 [00:15<00:01,  7.19it/s]
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ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:15<00:00,  6.01it/s]
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ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:16<00:00,  7.53it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 8.218, avep: 0.916, top5: 0.910, frac_mc: 0.873, top1: 0.930, mae: 2.355, loss: 0.040

ITERATION - loss: 0.04:   0%|          | 0/13 [00:17<00:01,  7.53it/s]
                                                                      

ITERATION - loss: 0.04:   0%|          | 0/13 [00:17<00:01,  7.53it/s]
Validation Results - Epoch: 6 Metrics: mse: 8.076, avep: 0.920, top5: 0.914, frac_mc: 0.879, top1: 0.950, mae: 2.296, loss: 0.040

ITERATION - loss: 0.04:   8%|▊         | 1/13 [00:17<00:06,  1.93it/s]
ITERATION - loss: 0.04:  23%|██▎       | 3/13 [00:18<00:03,  2.55it/s]
ITERATION - loss: 0.04:  31%|███       | 4/13 [00:18<00:02,  3.21it/s]
ITERATION - loss: 0.04:  38%|███▊      | 5/13 [00:18<00:01,  4.01it/s]
ITERATION - loss: 0.03:  46%|████▌     | 6/13 [00:18<00:01,  4.74it/s]
ITERATION - loss: 0.04:  54%|█████▍    | 7/13 [00:18<00:01,  5.36it/s]
ITERATION - loss: 0.04:  62%|██████▏   | 8/13 [00:18<00:00,  5.73it/s]
ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:18<00:00,  6.21it/s]
ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:19<00:00,  6.92it/s]
ITERATION - loss: 0.04:  92%|█████████▏| 12/13 [00:19<00:00,  7.03it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:19<00:00,  7.03it/s]
Training Results - Epoch: 7 Metrics: mse: 7.605, avep: 0.937, top5: 0.931, frac_mc: 0.900, top1: 0.955, mae: 2.315, loss: 0.039

                                                                       

ITERATION - loss: 0.03:   0%|          | 0/13 [00:20<00:01,  7.03it/s]
                                                                      

Validation Results - Epoch: 7 Metrics: mse: 7.460, avep: 0.943, top5: 0.936, frac_mc: 0.910, top1: 0.970, mae: 2.264, loss: 0.038

ITERATION - loss: 0.03:   0%|          | 0/13 [00:20<00:01,  7.03it/s]
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ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:21<00:00,  7.99it/s]
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ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:21<00:00,  8.00it/s]
                                                                       

ITERATION - loss: 0.04:   0%|          | 0/13 [00:22<00:01,  8.00it/s]
Training Results - Epoch: 8 Metrics: mse: 8.159, avep: 0.937, top5: 0.930, frac_mc: 0.900, top1: 0.955, mae: 2.346, loss: 0.036

                                                                      

Validation Results - Epoch: 8 Metrics: mse: 8.061, avep: 0.945, top5: 0.936, frac_mc: 0.912, top1: 0.970, mae: 2.290, loss: 0.037

ITERATION - loss: 0.04:   0%|          | 0/13 [00:23<00:01,  8.00it/s]
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ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:24<00:00,  6.30it/s]
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ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:24<00:00,  6.91it/s]
                                                                       

Training Results - Epoch: 9 Metrics: mse: 7.393, avep: 0.938, top5: 0.932, frac_mc: 0.901, top1: 0.958, mae: 2.299, loss: 0.036

ITERATION - loss: 0.03:   0%|          | 0/13 [00:25<00:01,  6.91it/s]
                                                                      

Validation Results - Epoch: 9 Metrics: mse: 7.382, avep: 0.947, top5: 0.936, frac_mc: 0.914, top1: 0.970, mae: 2.263, loss: 0.035

ITERATION - loss: 0.03:   0%|          | 0/13 [00:25<00:01,  6.91it/s]
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ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:26<00:00,  6.01it/s]
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ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:27<00:00,  7.10it/s]
                                                                       

Training Results - Epoch: 10 Metrics: mse: 7.750, avep: 0.938, top5: 0.930, frac_mc: 0.901, top1: 0.955, mae: 2.314, loss: 0.034

ITERATION - loss: 0.03:   0%|          | 0/13 [00:28<00:01,  7.10it/s]
Validation Results - Epoch: 10 Metrics: mse: 7.746, avep: 0.946, top5: 0.936, frac_mc: 0.910, top1: 0.970, mae: 2.266, loss: 0.034

                                                                      

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ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:30<00:00,  7.60it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 7.593, avep: 0.938, top5: 0.931, frac_mc: 0.902, top1: 0.955, mae: 2.301, loss: 0.034

ITERATION - loss: 0.04:   0%|          | 0/13 [00:30<00:01,  7.60it/s]
Validation Results - Epoch: 11 Metrics: mse: 7.590, avep: 0.946, top5: 0.936, frac_mc: 0.909, top1: 0.970, mae: 2.254, loss: 0.034

                                                                      

ITERATION - loss: 0.04:   0%|          | 0/13 [00:31<00:01,  7.60it/s]
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Training Results - Epoch: 12 Metrics: mse: 7.603, avep: 0.938, top5: 0.931, frac_mc: 0.901, top1: 0.955, mae: 2.298, loss: 0.034

ITERATION - loss: 0.04:   0%|          | 0/13 [00:33<00:01,  7.24it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 7.578, avep: 0.947, top5: 0.936, frac_mc: 0.912, top1: 0.970, mae: 2.247, loss: 0.033

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ITERATION - loss: 0.04:  23%|██▎       | 3/13 [00:34<00:03,  3.18it/s]
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ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:35<00:00,  6.29it/s]
ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:35<00:00,  6.45it/s]
ITERATION - loss: 0.04:  92%|█████████▏| 12/13 [00:35<00:00,  6.82it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:35<00:00,  6.82it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 7.923, avep: 0.938, top5: 0.930, frac_mc: 0.901, top1: 0.955, mae: 2.315, loss: 0.034

ITERATION - loss: 0.03:   0%|          | 0/13 [00:36<00:01,  6.82it/s]
                                                                      

Validation Results - Epoch: 13 Metrics: mse: 7.894, avep: 0.947, top5: 0.938, frac_mc: 0.914, top1: 0.970, mae: 2.265, loss: 0.034

ITERATION - loss: 0.03:   0%|          | 0/13 [00:36<00:01,  6.82it/s]
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ITERATION - loss: 0.03:  54%|█████▍    | 7/13 [00:37<00:01,  5.76it/s]
ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:37<00:00,  6.80it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:37<00:00,  7.05it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [00:37<00:00,  7.67it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:37<00:00,  8.07it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:38<00:00,  8.07it/s]
                                                                       

Training Results - Epoch: 14 Metrics: mse: 7.425, avep: 0.937, top5: 0.930, frac_mc: 0.901, top1: 0.955, mae: 2.280, loss: 0.034

ITERATION - loss: 0.03:   0%|          | 0/13 [00:39<00:01,  8.07it/s]
                                                                      

Validation Results - Epoch: 14 Metrics: mse: 7.305, avep: 0.947, top5: 0.936, frac_mc: 0.910, top1: 0.970, mae: 2.218, loss: 0.033

ITERATION - loss: 0.03:   0%|          | 0/13 [00:39<00:01,  8.07it/s]
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ITERATION - loss: 0.04:  31%|███       | 4/13 [00:39<00:02,  4.08it/s]
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ITERATION - loss: 0.04:  46%|████▌     | 6/13 [00:39<00:01,  5.55it/s]
ITERATION - loss: 0.03:  54%|█████▍    | 7/13 [00:40<00:00,  6.28it/s]
ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:40<00:00,  6.72it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:40<00:00,  7.18it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:40<00:00,  7.18it/s]
ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:40<00:00,  7.42it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [00:40<00:00,  8.70it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [00:40<00:00,  8.70it/s]
                                                                       

Training Results - Epoch: 15 Metrics: mse: 7.822, avep: 0.938, top5: 0.930, frac_mc: 0.901, top1: 0.958, mae: 2.304, loss: 0.033

ITERATION - loss: 0.02:   0%|          | 0/13 [00:41<00:01,  8.70it/s]
                                                                      

Validation Results - Epoch: 15 Metrics: mse: 7.788, avep: 0.947, top5: 0.936, frac_mc: 0.911, top1: 0.970, mae: 2.255, loss: 0.033

ITERATION - loss: 0.02:   0%|          | 0/13 [00:41<00:01,  8.70it/s]
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ITERATION - loss: 0.03:  31%|███       | 4/13 [00:42<00:02,  4.07it/s]
ITERATION - loss: 0.04:  38%|███▊      | 5/13 [00:42<00:01,  4.90it/s]
ITERATION - loss: 0.04:  54%|█████▍    | 7/13 [00:42<00:01,  5.53it/s]
ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:42<00:00,  6.11it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:43<00:00,  6.83it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:43<00:00,  7.20it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:43<00:00,  7.68it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:43<00:00,  7.68it/s]
                                                                       

Training Results - Epoch: 16 Metrics: mse: 7.300, avep: 0.939, top5: 0.933, frac_mc: 0.904, top1: 0.953, mae: 2.261, loss: 0.033

ITERATION - loss: 0.04:   0%|          | 0/13 [00:44<00:01,  7.68it/s]
                                                                      

Validation Results - Epoch: 16 Metrics: mse: 7.196, avep: 0.952, top5: 0.940, frac_mc: 0.916, top1: 0.990, mae: 2.205, loss: 0.032

ITERATION - loss: 0.04:   0%|          | 0/13 [00:44<00:01,  7.68it/s]
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ITERATION - loss: 0.03:  54%|█████▍    | 7/13 [00:45<00:01,  5.29it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:45<00:00,  6.08it/s]
ITERATION - loss: 0.03:  85%|████████▍ | 11/13 [00:45<00:00,  6.86it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:46<00:00,  8.08it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:46<00:00,  8.08it/s]
                                                                       

Training Results - Epoch: 17 Metrics: mse: 8.327, avep: 0.940, top5: 0.934, frac_mc: 0.903, top1: 0.955, mae: 2.323, loss: 0.033

ITERATION - loss: 0.04:   0%|          | 0/13 [00:46<00:01,  8.08it/s]
                                                                      

Validation Results - Epoch: 17 Metrics: mse: 8.241, avep: 0.953, top5: 0.938, frac_mc: 0.917, top1: 0.990, mae: 2.279, loss: 0.034

ITERATION - loss: 0.04:   0%|          | 0/13 [00:47<00:01,  8.08it/s]
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ITERATION - loss: 0.03:  23%|██▎       | 3/13 [00:47<00:02,  4.12it/s]
ITERATION - loss: 0.03:  38%|███▊      | 5/13 [00:47<00:01,  5.03it/s]
ITERATION - loss: 0.03:  46%|████▌     | 6/13 [00:47<00:01,  5.59it/s]
ITERATION - loss: 0.03:  54%|█████▍    | 7/13 [00:47<00:00,  6.26it/s]
ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:48<00:00,  6.69it/s]
ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:48<00:00,  7.33it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:48<00:00,  7.61it/s]
ITERATION - loss: 0.04:  85%|████████▍ | 11/13 [00:48<00:00,  8.00it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:48<00:00,  7.68it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:48<00:00,  7.68it/s]
                                                                       

ITERATION - loss: 0.03:   0%|          | 0/13 [00:49<00:01,  7.68it/s]
Training Results - Epoch: 18 Metrics: mse: 7.255, avep: 0.940, top5: 0.933, frac_mc: 0.903, top1: 0.955, mae: 2.237, loss: 0.032

                                                                      

Validation Results - Epoch: 18 Metrics: mse: 7.087, avep: 0.951, top5: 0.940, frac_mc: 0.917, top1: 0.990, mae: 2.175, loss: 0.032

ITERATION - loss: 0.03:   0%|          | 0/13 [00:49<00:01,  7.68it/s]
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ITERATION - loss: 0.03:  23%|██▎       | 3/13 [00:50<00:03,  3.17it/s]
ITERATION - loss: 0.03:  31%|███       | 4/13 [00:50<00:02,  3.85it/s]
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ITERATION - loss: 0.03:  46%|████▌     | 6/13 [00:50<00:01,  5.33it/s]
ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:50<00:00,  6.11it/s]
ITERATION - loss: 0.04:  69%|██████▉   | 9/13 [00:50<00:00,  6.69it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:51<00:00,  7.28it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:51<00:00,  7.56it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:51<00:00,  7.56it/s]
Training Results - Epoch: 19 Metrics: mse: 7.660, avep: 0.936, top5: 0.930, frac_mc: 0.901, top1: 0.953, mae: 2.247, loss: 0.031
                                                                       


ITERATION - loss: 0.03:   0%|          | 0/13 [00:52<00:01,  7.56it/s]
                                                                      

Validation Results - Epoch: 19 Metrics: mse: 7.603, avep: 0.948, top5: 0.936, frac_mc: 0.917, top1: 0.990, mae: 2.210, loss: 0.032

ITERATION - loss: 0.03:   0%|          | 0/13 [00:52<00:01,  7.56it/s]
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ITERATION - loss: 0.03:  46%|████▌     | 6/13 [00:53<00:01,  5.44it/s]
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ITERATION - loss: 0.03:  62%|██████▏   | 8/13 [00:53<00:00,  6.66it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:53<00:00,  7.25it/s]
ITERATION - loss: 0.03:  85%|████████▍ | 11/13 [00:53<00:00,  7.71it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:53<00:00,  8.22it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:53<00:00,  8.22it/s]
                                                                       

Training Results - Epoch: 20 Metrics: mse: 6.860, avep: 0.937, top5: 0.933, frac_mc: 0.901, top1: 0.953, mae: 2.187, loss: 0.031

ITERATION - loss: 0.03:   0%|          | 0/13 [00:54<00:01,  8.22it/s]
                                                                      

Validation Results - Epoch: 20 Metrics: mse: 6.782, avep: 0.949, top5: 0.940, frac_mc: 0.913, top1: 0.990, mae: 2.152, loss: 0.031

ITERATION - loss: 0.03:   0%|          | 0/13 [00:55<00:01,  8.22it/s]
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ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [00:56<00:00,  7.10it/s]
ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:56<00:00,  6.59it/s]
ITERATION - loss: 0.03:  85%|████████▍ | 11/13 [00:56<00:00,  7.24it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [00:56<00:00,  7.26it/s]
ITERATION - loss: 0.04: 100%|██████████| 13/13 [00:56<00:00,  7.26it/s]
                                                                       

Training Results - Epoch: 21 Metrics: mse: 6.902, avep: 0.936, top5: 0.932, frac_mc: 0.898, top1: 0.955, mae: 2.170, loss: 0.029

ITERATION - loss: 0.04:   0%|          | 0/13 [00:57<00:01,  7.26it/s]
                                                                      

Validation Results - Epoch: 21 Metrics: mse: 6.907, avep: 0.947, top5: 0.942, frac_mc: 0.913, top1: 0.980, mae: 2.153, loss: 0.030

ITERATION - loss: 0.04:   0%|          | 0/13 [00:58<00:01,  7.26it/s]
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ITERATION - loss: 0.03:  77%|███████▋  | 10/13 [00:59<00:00,  7.43it/s]
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ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [00:59<00:00,  7.44it/s]
ITERATION - loss: 0.03: 100%|██████████| 13/13 [00:59<00:00,  7.44it/s]
                                                                       

Training Results - Epoch: 22 Metrics: mse: 6.207, avep: 0.932, top5: 0.926, frac_mc: 0.892, top1: 0.955, mae: 2.065, loss: 0.028

ITERATION - loss: 0.03:   0%|          | 0/13 [01:00<00:01,  7.44it/s]
                                                                      

Validation Results - Epoch: 22 Metrics: mse: 6.220, avep: 0.947, top5: 0.942, frac_mc: 0.907, top1: 0.990, mae: 2.074, loss: 0.028

ITERATION - loss: 0.03:   0%|          | 0/13 [01:00<00:01,  7.44it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:01<00:00,  6.25it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [01:01<00:00,  6.55it/s]
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ITERATION - loss: 0.03: 100%|██████████| 13/13 [01:02<00:00,  7.61it/s]
                                                                       

Training Results - Epoch: 23 Metrics: mse: 5.513, avep: 0.929, top5: 0.928, frac_mc: 0.890, top1: 0.935, mae: 1.921, loss: 0.024

ITERATION - loss: 0.03:   0%|          | 0/13 [01:03<00:01,  7.61it/s]
                                                                      

Validation Results - Epoch: 23 Metrics: mse: 5.820, avep: 0.939, top5: 0.934, frac_mc: 0.904, top1: 0.970, mae: 2.001, loss: 0.026

ITERATION - loss: 0.03:   0%|          | 0/13 [01:03<00:01,  7.61it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:04<00:00,  6.29it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:04<00:00,  6.88it/s]
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ITERATION - loss: 0.03: 100%|██████████| 13/13 [01:04<00:00,  7.42it/s]
                                                                       
Training Results - Epoch: 24 Metrics: mse: 6.012, avep: 0.929, top5: 0.922, frac_mc: 0.889, top1: 0.943, mae: 1.969, loss: 0.027

ITERATION - loss: 0.03:   0%|          | 0/13 [01:05<00:01,  7.42it/s]
                                                                      

Validation Results - Epoch: 24 Metrics: mse: 6.518, avep: 0.937, top5: 0.926, frac_mc: 0.900, top1: 0.980, mae: 2.087, loss: 0.029

ITERATION - loss: 0.03:   0%|          | 0/13 [01:06<00:01,  7.42it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:07<00:00,  5.46it/s]
ITERATION - loss: 0.03:  69%|██████▉   | 9/13 [01:07<00:00,  5.91it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:07<00:00,  6.46it/s]
ITERATION - loss: 0.03:  92%|█████████▏| 12/13 [01:07<00:00,  7.07it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:07<00:00,  7.07it/s]
                                                                       

Training Results - Epoch: 25 Metrics: mse: 5.013, avep: 0.926, top5: 0.917, frac_mc: 0.894, top1: 0.938, mae: 1.836, loss: 0.022

ITERATION - loss: 0.02:   0%|          | 0/13 [01:08<00:01,  7.07it/s]
                                                                      

Validation Results - Epoch: 25 Metrics: mse: 5.099, avep: 0.933, top5: 0.924, frac_mc: 0.905, top1: 0.960, mae: 1.856, loss: 0.023

ITERATION - loss: 0.02:   0%|          | 0/13 [01:08<00:01,  7.07it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:09<00:00,  6.29it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:09<00:00,  6.52it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:09<00:00,  6.81it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:10<00:00,  7.28it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:10<00:00,  6.91it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:10<00:00,  6.91it/s]
                                                                       

Training Results - Epoch: 26 Metrics: mse: 4.223, avep: 0.930, top5: 0.916, frac_mc: 0.899, top1: 0.950, mae: 1.684, loss: 0.020

ITERATION - loss: 0.02:   0%|          | 0/13 [01:11<00:01,  6.91it/s]
                                                                      

Validation Results - Epoch: 26 Metrics: mse: 4.532, avep: 0.935, top5: 0.920, frac_mc: 0.906, top1: 0.970, mae: 1.729, loss: 0.021

ITERATION - loss: 0.02:   0%|          | 0/13 [01:11<00:01,  6.91it/s]
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ITERATION - loss: 0.02:  31%|███       | 4/13 [01:11<00:02,  4.03it/s]
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ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:12<00:01,  5.36it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:12<00:00,  6.16it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:12<00:00,  6.87it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:12<00:00,  6.89it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:12<00:00,  7.16it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:12<00:00,  7.08it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:12<00:00,  7.45it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:12<00:00,  7.45it/s]
                                                                       

Training Results - Epoch: 27 Metrics: mse: 4.804, avep: 0.918, top5: 0.902, frac_mc: 0.886, top1: 0.917, mae: 1.738, loss: 0.020

ITERATION - loss: 0.01:   0%|          | 0/13 [01:13<00:01,  7.45it/s]
Validation Results - Epoch: 27 Metrics: mse: 4.420, avep: 0.925, top5: 0.906, frac_mc: 0.900, top1: 0.940, mae: 1.658, loss: 0.019

                                                                      

ITERATION - loss: 0.01:   0%|          | 0/13 [01:14<00:01,  7.45it/s]
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ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:15<00:01,  5.52it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:15<00:00,  6.09it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:15<00:00,  6.99it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:15<00:00,  7.19it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:15<00:00,  7.53it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:15<00:00,  7.53it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 4.691, avep: 0.927, top5: 0.911, frac_mc: 0.893, top1: 0.938, mae: 1.701, loss: 0.019

ITERATION - loss: 0.02:   0%|          | 0/13 [01:16<00:01,  7.53it/s]
                                                                      

Validation Results - Epoch: 28 Metrics: mse: 4.414, avep: 0.933, top5: 0.910, frac_mc: 0.903, top1: 0.960, mae: 1.633, loss: 0.019

ITERATION - loss: 0.02:   0%|          | 0/13 [01:16<00:01,  7.53it/s]
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ITERATION - loss: 0.02:  23%|██▎       | 3/13 [01:17<00:03,  3.25it/s]
ITERATION - loss: 0.02:  38%|███▊      | 5/13 [01:17<00:02,  3.95it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:17<00:01,  4.72it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:17<00:00,  5.33it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:17<00:00,  6.09it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [01:18<00:00,  6.75it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:18<00:00,  6.91it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:18<00:00,  7.26it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:18<00:00,  7.26it/s]
                                                                       

Training Results - Epoch: 29 Metrics: mse: 3.999, avep: 0.929, top5: 0.918, frac_mc: 0.897, top1: 0.940, mae: 1.592, loss: 0.017

ITERATION - loss: 0.02:   0%|          | 0/13 [01:19<00:01,  7.26it/s]
Validation Results - Epoch: 29 Metrics: mse: 3.826, avep: 0.932, top5: 0.910, frac_mc: 0.907, top1: 0.950, mae: 1.539, loss: 0.017

                                                                      

ITERATION - loss: 0.02:   0%|          | 0/13 [01:19<00:01,  7.26it/s]
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ITERATION - loss: 0.02:  23%|██▎       | 3/13 [01:19<00:03,  3.18it/s]
ITERATION - loss: 0.02:  31%|███       | 4/13 [01:20<00:02,  3.92it/s]
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ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:20<00:01,  5.03it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [01:20<00:01,  5.62it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:20<00:00,  6.24it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:20<00:00,  6.82it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:20<00:00,  7.17it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [01:20<00:00,  7.77it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:21<00:00,  8.21it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:21<00:00,  8.21it/s]
                                                                       

Training Results - Epoch: 30 Metrics: mse: 3.990, avep: 0.925, top5: 0.912, frac_mc: 0.894, top1: 0.935, mae: 1.589, loss: 0.018

ITERATION - loss: 0.02:   0%|          | 0/13 [01:22<00:01,  8.21it/s]
Validation Results - Epoch: 30 Metrics: mse: 4.311, avep: 0.928, top5: 0.912, frac_mc: 0.904, top1: 0.940, mae: 1.620, loss: 0.019

                                                                      

ITERATION - loss: 0.02:   0%|          | 0/13 [01:22<00:01,  8.21it/s]
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ITERATION - loss: 0.02:  31%|███       | 4/13 [01:22<00:02,  3.92it/s]
ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:23<00:01,  4.78it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:23<00:01,  5.47it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:23<00:00,  5.94it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:23<00:00,  5.94it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:23<00:00,  6.09it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:23<00:00,  6.07it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:23<00:00,  6.72it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:24<00:00,  6.72it/s]
                                                                       
Training Results - Epoch: 31 Metrics: mse: 3.810, avep: 0.926, top5: 0.912, frac_mc: 0.896, top1: 0.943, mae: 1.564, loss: 0.017

ITERATION - loss: 0.02:   0%|          | 0/13 [01:25<00:01,  6.72it/s]
Validation Results - Epoch: 31 Metrics: mse: 3.291, avep: 0.928, top5: 0.908, frac_mc: 0.900, top1: 0.930, mae: 1.445, loss: 0.016

                                                                      

ITERATION - loss: 0.02:   0%|          | 0/13 [01:25<00:01,  6.72it/s]
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ITERATION - loss: 0.02:  23%|██▎       | 3/13 [01:25<00:03,  2.84it/s]
ITERATION - loss: 0.02:  31%|███       | 4/13 [01:25<00:02,  3.26it/s]
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ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:26<00:01,  4.38it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:26<00:01,  4.97it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:26<00:00,  5.39it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [01:26<00:00,  6.05it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:26<00:00,  6.74it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:26<00:00,  7.18it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:27<00:00,  7.47it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:27<00:00,  7.47it/s]
Training Results - Epoch: 32 Metrics: mse: 3.483, avep: 0.930, top5: 0.916, frac_mc: 0.899, top1: 0.948, mae: 1.498, loss: 0.016

                                                                       

ITERATION - loss: 0.02:   0%|          | 0/13 [01:28<00:01,  7.47it/s]
                                                                      

ITERATION - loss: 0.02:   0%|          | 0/13 [01:28<00:01,  7.47it/s]
Validation Results - Epoch: 32 Metrics: mse: 3.382, avep: 0.930, top5: 0.918, frac_mc: 0.905, top1: 0.930, mae: 1.444, loss: 0.016

ITERATION - loss: 0.01:   8%|▊         | 1/13 [01:28<00:06,  1.77it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [01:28<00:03,  2.87it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [01:29<00:00,  6.09it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:29<00:00,  6.67it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:29<00:00,  6.88it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:29<00:00,  6.95it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:30<00:00,  8.17it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:30<00:00,  8.17it/s]
                                                                       

Training Results - Epoch: 33 Metrics: mse: 4.232, avep: 0.933, top5: 0.922, frac_mc: 0.904, top1: 0.948, mae: 1.612, loss: 0.018

ITERATION - loss: 0.01:   0%|          | 0/13 [01:31<00:01,  8.17it/s]
                                                                      

Validation Results - Epoch: 33 Metrics: mse: 3.668, avep: 0.936, top5: 0.922, frac_mc: 0.915, top1: 0.940, mae: 1.499, loss: 0.017

ITERATION - loss: 0.01:   0%|          | 0/13 [01:31<00:01,  8.17it/s]
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ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:32<00:01,  5.23it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:32<00:01,  5.96it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:32<00:00,  6.77it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:32<00:00,  7.07it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:32<00:00,  7.44it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:32<00:00,  8.03it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:32<00:00,  8.03it/s]
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [01:33<00:01,  8.03it/s]
Training Results - Epoch: 34 Metrics: mse: 3.409, avep: 0.923, top5: 0.907, frac_mc: 0.895, top1: 0.930, mae: 1.465, loss: 0.016

                                                                      

Validation Results - Epoch: 34 Metrics: mse: 3.290, avep: 0.924, top5: 0.908, frac_mc: 0.901, top1: 0.930, mae: 1.403, loss: 0.015

ITERATION - loss: 0.01:   0%|          | 0/13 [01:34<00:01,  8.03it/s]
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ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:35<00:00,  7.67it/s]
                                                                       

Training Results - Epoch: 35 Metrics: mse: 3.384, avep: 0.931, top5: 0.918, frac_mc: 0.899, top1: 0.948, mae: 1.464, loss: 0.016

ITERATION - loss: 0.01:   0%|          | 0/13 [01:36<00:01,  7.67it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 3.419, avep: 0.932, top5: 0.918, frac_mc: 0.908, top1: 0.940, mae: 1.429, loss: 0.016

ITERATION - loss: 0.01:   0%|          | 0/13 [01:36<00:01,  7.67it/s]
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ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:37<00:00,  5.96it/s]
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ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [01:38<00:00,  7.17it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:38<00:00,  7.17it/s]
                                                                       

Training Results - Epoch: 36 Metrics: mse: 3.546, avep: 0.936, top5: 0.928, frac_mc: 0.903, top1: 0.960, mae: 1.484, loss: 0.017

ITERATION - loss: 0.01:   0%|          | 0/13 [01:39<00:01,  7.17it/s]
                                                                      

Validation Results - Epoch: 36 Metrics: mse: 3.411, avep: 0.938, top5: 0.932, frac_mc: 0.907, top1: 0.950, mae: 1.447, loss: 0.016

ITERATION - loss: 0.01:   0%|          | 0/13 [01:39<00:01,  7.17it/s]
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ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [01:40<00:00,  5.79it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [01:40<00:00,  6.37it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:40<00:00,  6.58it/s]
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ITERATION - loss: 0.01:   0%|          | 0/13 [01:42<00:01,  7.79it/s]
Training Results - Epoch: 37 Metrics: mse: 3.156, avep: 0.919, top5: 0.904, frac_mc: 0.889, top1: 0.927, mae: 1.379, loss: 0.015

                                                                      

Validation Results - Epoch: 37 Metrics: mse: 3.060, avep: 0.921, top5: 0.912, frac_mc: 0.893, top1: 0.930, mae: 1.304, loss: 0.015

ITERATION - loss: 0.01:   0%|          | 0/13 [01:42<00:01,  7.79it/s]
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ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:43<00:00,  6.95it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [01:43<00:00,  7.64it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [01:43<00:00,  7.20it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:43<00:00,  8.34it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:43<00:00,  8.34it/s]
                                                                       

Training Results - Epoch: 38 Metrics: mse: 3.088, avep: 0.934, top5: 0.928, frac_mc: 0.902, top1: 0.948, mae: 1.372, loss: 0.014

ITERATION - loss: 0.01:   0%|          | 0/13 [01:44<00:01,  8.34it/s]
                                                                      

Validation Results - Epoch: 38 Metrics: mse: 2.819, avep: 0.938, top5: 0.928, frac_mc: 0.914, top1: 0.940, mae: 1.290, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [01:45<00:01,  8.34it/s]
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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [01:45<00:01,  5.72it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:45<00:00,  6.21it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:46<00:00,  6.89it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:46<00:00,  7.16it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [01:46<00:00,  7.74it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [01:46<00:00,  8.04it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:46<00:00,  8.04it/s]
                                                                       

Training Results - Epoch: 39 Metrics: mse: 2.902, avep: 0.931, top5: 0.917, frac_mc: 0.900, top1: 0.945, mae: 1.312, loss: 0.014

ITERATION - loss: 0.02:   0%|          | 0/13 [01:47<00:01,  8.04it/s]
Validation Results - Epoch: 39 Metrics: mse: 2.743, avep: 0.936, top5: 0.924, frac_mc: 0.911, top1: 0.940, mae: 1.238, loss: 0.013
                                                                      

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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [01:48<00:00,  6.10it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [01:48<00:00,  6.90it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:48<00:00,  7.34it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [01:48<00:00,  7.53it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:49<00:00,  8.79it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:49<00:00,  8.79it/s]
                                                                       

Training Results - Epoch: 40 Metrics: mse: 3.327, avep: 0.927, top5: 0.910, frac_mc: 0.895, top1: 0.935, mae: 1.402, loss: 0.014

ITERATION - loss: 0.01:   0%|          | 0/13 [01:50<00:01,  8.79it/s]
                                                                      
Validation Results - Epoch: 40 Metrics: mse: 2.638, avep: 0.927, top5: 0.912, frac_mc: 0.890, top1: 0.940, mae: 1.230, loss: 0.013


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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [01:51<00:00,  7.21it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:51<00:00,  7.62it/s]
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ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [01:51<00:00,  8.06it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:51<00:00,  8.06it/s]
                                                                       

Training Results - Epoch: 41 Metrics: mse: 3.627, avep: 0.938, top5: 0.934, frac_mc: 0.907, top1: 0.953, mae: 1.481, loss: 0.016

ITERATION - loss: 0.02:   0%|          | 0/13 [01:52<00:01,  8.06it/s]
                                                                      

Validation Results - Epoch: 41 Metrics: mse: 2.851, avep: 0.945, top5: 0.932, frac_mc: 0.916, top1: 0.970, mae: 1.314, loss: 0.014

ITERATION - loss: 0.02:   0%|          | 0/13 [01:53<00:01,  8.06it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [01:53<00:00,  6.35it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [01:54<00:00,  6.93it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [01:54<00:00,  7.32it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:54<00:00,  7.60it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:54<00:00,  8.05it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:54<00:00,  8.05it/s]
                                                                       

Training Results - Epoch: 42 Metrics: mse: 2.824, avep: 0.933, top5: 0.924, frac_mc: 0.904, top1: 0.938, mae: 1.291, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [01:55<00:01,  8.05it/s]
                                                                      

Validation Results - Epoch: 42 Metrics: mse: 2.668, avep: 0.935, top5: 0.924, frac_mc: 0.905, top1: 0.940, mae: 1.218, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [01:55<00:01,  8.05it/s]
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ITERATION - loss: 0.02:  23%|██▎       | 3/13 [01:56<00:04,  2.50it/s]
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ITERATION - loss: 0.02:  46%|████▌     | 6/13 [01:56<00:01,  3.91it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [01:56<00:01,  4.58it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [01:56<00:00,  5.39it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [01:56<00:00,  6.04it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:56<00:00,  5.97it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [01:57<00:00,  6.57it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [01:57<00:00,  6.64it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [01:57<00:00,  6.64it/s]
                                                                       

Training Results - Epoch: 43 Metrics: mse: 2.976, avep: 0.936, top5: 0.927, frac_mc: 0.906, top1: 0.948, mae: 1.336, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [01:58<00:01,  6.64it/s]
                                                                      

Validation Results - Epoch: 43 Metrics: mse: 2.289, avep: 0.938, top5: 0.930, frac_mc: 0.908, top1: 0.940, mae: 1.158, loss: 0.011

ITERATION - loss: 0.02:   0%|          | 0/13 [01:58<00:01,  6.64it/s]
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ITERATION - loss: 0.02:  23%|██▎       | 3/13 [01:58<00:03,  3.12it/s]
ITERATION - loss: 0.02:  31%|███       | 4/13 [01:59<00:02,  3.78it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [01:59<00:01,  4.59it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [01:59<00:01,  5.17it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [01:59<00:00,  5.94it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [01:59<00:00,  6.69it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [01:59<00:00,  7.18it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [01:59<00:00,  7.18it/s]
                                                                       

Training Results - Epoch: 44 Metrics: mse: 3.267, avep: 0.929, top5: 0.914, frac_mc: 0.900, top1: 0.943, mae: 1.411, loss: 0.014

ITERATION - loss: 0.01:   0%|          | 0/13 [02:00<00:01,  7.18it/s]
Validation Results - Epoch: 44 Metrics: mse: 2.659, avep: 0.933, top5: 0.916, frac_mc: 0.901, top1: 0.960, mae: 1.281, loss: 0.013

                                                                      

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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [02:02<00:00,  6.21it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [02:02<00:00,  6.47it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:02<00:00,  7.11it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:02<00:00,  7.54it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [02:02<00:00,  7.60it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:02<00:00,  7.60it/s]
                                                                       

ITERATION - loss: 0.02:   0%|          | 0/13 [02:03<00:01,  7.60it/s]
Training Results - Epoch: 45 Metrics: mse: 3.463, avep: 0.930, top5: 0.913, frac_mc: 0.899, top1: 0.943, mae: 1.392, loss: 0.015

Validation Results - Epoch: 45 Metrics: mse: 2.407, avep: 0.930, top5: 0.914, frac_mc: 0.896, top1: 0.950, mae: 1.163, loss: 0.012

                                                                      

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ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:05<00:00,  8.84it/s]
                                                                       

Training Results - Epoch: 46 Metrics: mse: 2.764, avep: 0.938, top5: 0.930, frac_mc: 0.908, top1: 0.945, mae: 1.298, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [02:06<00:01,  8.84it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 2.289, avep: 0.944, top5: 0.934, frac_mc: 0.911, top1: 0.960, mae: 1.174, loss: 0.011

ITERATION - loss: 0.02:   0%|          | 0/13 [02:06<00:01,  8.84it/s]
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ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:08<00:00,  7.83it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:08<00:00,  7.83it/s]
                                                                       
Training Results - Epoch: 47 Metrics: mse: 2.968, avep: 0.938, top5: 0.930, frac_mc: 0.905, top1: 0.953, mae: 1.320, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [02:09<00:01,  7.83it/s]
                                                                      

Validation Results - Epoch: 47 Metrics: mse: 2.245, avep: 0.946, top5: 0.928, frac_mc: 0.918, top1: 0.960, mae: 1.154, loss: 0.011

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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:10<00:00,  5.53it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:10<00:00,  5.94it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:10<00:00,  6.31it/s]
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ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:10<00:00,  7.44it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:10<00:00,  7.44it/s]
Training Results - Epoch: 48 Metrics: mse: 3.706, avep: 0.924, top5: 0.905, frac_mc: 0.897, top1: 0.927, mae: 1.474, loss: 0.017

                                                                       

ITERATION - loss: 0.02:   0%|          | 0/13 [02:11<00:01,  7.44it/s]
                                                                      

Validation Results - Epoch: 48 Metrics: mse: 4.017, avep: 0.926, top5: 0.910, frac_mc: 0.893, top1: 0.960, mae: 1.467, loss: 0.017

ITERATION - loss: 0.02:   0%|          | 0/13 [02:12<00:01,  7.44it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:13<00:00,  6.32it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [02:13<00:00,  7.09it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:13<00:00,  7.56it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:13<00:00,  7.99it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:13<00:00,  8.93it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:13<00:00,  8.93it/s]
                                                                       
Training Results - Epoch: 49 Metrics: mse: 3.039, avep: 0.922, top5: 0.902, frac_mc: 0.894, top1: 0.920, mae: 1.329, loss: 0.014


ITERATION - loss: 0.01:   0%|          | 0/13 [02:14<00:01,  8.93it/s]
                                                                      

Validation Results - Epoch: 49 Metrics: mse: 2.835, avep: 0.917, top5: 0.896, frac_mc: 0.884, top1: 0.930, mae: 1.230, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [02:14<00:01,  8.93it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:15<00:01,  4.76it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:15<00:00,  5.77it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:15<00:00,  6.14it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [02:15<00:00,  6.75it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:16<00:00,  7.15it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:16<00:00,  7.18it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:16<00:00,  7.18it/s]
Training Results - Epoch: 50 Metrics: mse: 3.172, avep: 0.931, top5: 0.917, frac_mc: 0.899, top1: 0.943, mae: 1.353, loss: 0.013

                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [02:17<00:01,  7.18it/s]
                                                                      

Validation Results - Epoch: 50 Metrics: mse: 2.231, avep: 0.932, top5: 0.914, frac_mc: 0.900, top1: 0.950, mae: 1.135, loss: 0.011

ITERATION - loss: 0.01:   0%|          | 0/13 [02:17<00:01,  7.18it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:17<00:03,  2.54it/s]
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ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [02:18<00:01,  4.78it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:18<00:00,  5.57it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [02:18<00:00,  6.19it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:18<00:00,  6.45it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [02:18<00:00,  6.90it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [02:18<00:00,  7.41it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:18<00:00,  7.41it/s]
                                                                       

Training Results - Epoch: 51 Metrics: mse: 2.920, avep: 0.928, top5: 0.910, frac_mc: 0.902, top1: 0.930, mae: 1.277, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [02:19<00:01,  7.41it/s]
                                                                      

Validation Results - Epoch: 51 Metrics: mse: 2.839, avep: 0.926, top5: 0.912, frac_mc: 0.896, top1: 0.940, mae: 1.184, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [02:20<00:01,  7.41it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:20<00:03,  2.97it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:21<00:01,  4.37it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [02:21<00:01,  5.22it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [02:21<00:00,  5.80it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:21<00:00,  6.12it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:21<00:00,  6.17it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:21<00:00,  6.86it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:21<00:00,  7.33it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:21<00:00,  7.33it/s]
                                                                       

Training Results - Epoch: 52 Metrics: mse: 3.074, avep: 0.931, top5: 0.915, frac_mc: 0.902, top1: 0.945, mae: 1.371, loss: 0.014

ITERATION - loss: 0.01:   0%|          | 0/13 [02:22<00:01,  7.33it/s]
                                                                      

Validation Results - Epoch: 52 Metrics: mse: 2.519, avep: 0.924, top5: 0.900, frac_mc: 0.892, top1: 0.930, mae: 1.203, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:23<00:01,  7.33it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:23<00:03,  2.93it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [02:23<00:02,  3.63it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [02:23<00:01,  4.49it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:23<00:01,  4.81it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [02:24<00:01,  5.58it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:24<00:00,  5.98it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:24<00:00,  6.66it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:24<00:00,  7.32it/s]
ITERATION - loss: 0.02:  85%|████████▍ | 11/13 [02:24<00:00,  7.15it/s]
ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [02:24<00:00,  7.66it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:24<00:00,  7.66it/s]
Training Results - Epoch: 53 Metrics: mse: 2.606, avep: 0.934, top5: 0.922, frac_mc: 0.904, top1: 0.943, mae: 1.183, loss: 0.012
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [02:25<00:01,  7.66it/s]
                                                                      

Validation Results - Epoch: 53 Metrics: mse: 2.534, avep: 0.941, top5: 0.926, frac_mc: 0.908, top1: 0.960, mae: 1.132, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:26<00:01,  7.66it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:26<00:03,  2.98it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [02:26<00:02,  3.60it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [02:26<00:01,  4.40it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:26<00:01,  5.02it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:27<00:00,  5.88it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:27<00:00,  5.90it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:27<00:00,  6.26it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:27<00:00,  6.83it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:27<00:00,  6.83it/s]
                                                                       

Training Results - Epoch: 54 Metrics: mse: 2.623, avep: 0.935, top5: 0.922, frac_mc: 0.902, top1: 0.950, mae: 1.232, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:28<00:01,  6.83it/s]
                                                                      

Validation Results - Epoch: 54 Metrics: mse: 1.963, avep: 0.942, top5: 0.926, frac_mc: 0.909, top1: 0.960, mae: 1.051, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:29<00:01,  6.83it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:29<00:03,  2.95it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [02:29<00:02,  3.62it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [02:29<00:01,  4.04it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:29<00:01,  4.78it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [02:29<00:01,  5.33it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:30<00:00,  6.03it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:30<00:00,  6.47it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:30<00:00,  6.87it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:30<00:00,  7.30it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:30<00:00,  8.42it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:30<00:00,  8.42it/s]
                                                                       

Training Results - Epoch: 55 Metrics: mse: 2.883, avep: 0.938, top5: 0.930, frac_mc: 0.906, top1: 0.953, mae: 1.302, loss: 0.013

ITERATION - loss: 0.01:   0%|          | 0/13 [02:31<00:01,  8.42it/s]
                                                                      

Validation Results - Epoch: 55 Metrics: mse: 2.186, avep: 0.946, top5: 0.928, frac_mc: 0.918, top1: 0.970, mae: 1.130, loss: 0.011

ITERATION - loss: 0.01:   0%|          | 0/13 [02:31<00:01,  8.42it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [02:32<00:06,  1.96it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [02:32<00:03,  3.09it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [02:32<00:02,  3.78it/s]
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ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [02:32<00:01,  5.25it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:32<00:00,  5.55it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:33<00:00,  6.38it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:33<00:00,  7.16it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:33<00:00,  7.38it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:33<00:00,  7.71it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:33<00:00,  7.71it/s]
                                                                       

Training Results - Epoch: 56 Metrics: mse: 2.639, avep: 0.938, top5: 0.930, frac_mc: 0.906, top1: 0.953, mae: 1.255, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:34<00:01,  7.71it/s]
                                                                      

Validation Results - Epoch: 56 Metrics: mse: 1.971, avep: 0.948, top5: 0.944, frac_mc: 0.918, top1: 0.970, mae: 1.069, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:34<00:01,  7.71it/s]
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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [02:35<00:01,  5.96it/s]
ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [02:35<00:00,  6.53it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:35<00:00,  7.08it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:35<00:00,  7.27it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:36<00:00,  7.92it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:36<00:00,  7.92it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 3.216, avep: 0.940, top5: 0.934, frac_mc: 0.907, top1: 0.955, mae: 1.397, loss: 0.014

ITERATION - loss: 0.01:   0%|          | 0/13 [02:37<00:01,  7.92it/s]
                                                                      

Validation Results - Epoch: 57 Metrics: mse: 2.327, avep: 0.951, top5: 0.944, frac_mc: 0.920, top1: 0.970, mae: 1.165, loss: 0.011

ITERATION - loss: 0.01:   0%|          | 0/13 [02:37<00:01,  7.92it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:38<00:00,  6.64it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:38<00:00,  7.24it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:38<00:00,  7.04it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:38<00:00,  7.63it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:38<00:00,  7.41it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:38<00:00,  7.41it/s]
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [02:39<00:01,  7.41it/s]
Training Results - Epoch: 58 Metrics: mse: 2.469, avep: 0.935, top5: 0.924, frac_mc: 0.903, top1: 0.950, mae: 1.217, loss: 0.011

                                                                      

Validation Results - Epoch: 58 Metrics: mse: 1.896, avep: 0.942, top5: 0.926, frac_mc: 0.913, top1: 0.940, mae: 1.063, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:40<00:01,  7.41it/s]
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ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:41<00:00,  6.63it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:41<00:00,  7.48it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:41<00:00,  7.41it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:41<00:00,  7.41it/s]
                                                                       

Training Results - Epoch: 59 Metrics: mse: 2.258, avep: 0.937, top5: 0.928, frac_mc: 0.907, top1: 0.945, mae: 1.102, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:42<00:01,  7.41it/s]
                                                                      

Validation Results - Epoch: 59 Metrics: mse: 1.908, avep: 0.944, top5: 0.934, frac_mc: 0.917, top1: 0.950, mae: 0.988, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [02:42<00:01,  7.41it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:43<00:00,  6.30it/s]
ITERATION - loss: 0.02:  69%|██████▉   | 9/13 [02:43<00:00,  6.77it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:44<00:00,  7.23it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:44<00:00,  7.36it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:44<00:00,  7.40it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:44<00:00,  7.40it/s]
                                                                       

Training Results - Epoch: 60 Metrics: mse: 2.602, avep: 0.934, top5: 0.926, frac_mc: 0.905, top1: 0.943, mae: 1.204, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:45<00:01,  7.40it/s]
                                                                      

Validation Results - Epoch: 60 Metrics: mse: 2.264, avep: 0.939, top5: 0.924, frac_mc: 0.902, top1: 0.950, mae: 1.065, loss: 0.011

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ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:46<00:00,  6.39it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:46<00:00,  6.75it/s]
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ITERATION - loss: 0.02:  92%|█████████▏| 12/13 [02:47<00:00,  7.71it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:47<00:00,  7.71it/s]
                                                                       

Training Results - Epoch: 61 Metrics: mse: 3.445, avep: 0.934, top5: 0.923, frac_mc: 0.901, top1: 0.945, mae: 1.403, loss: 0.014

ITERATION - loss: 0.02:   0%|          | 0/13 [02:48<00:01,  7.71it/s]
                                                                      

Validation Results - Epoch: 61 Metrics: mse: 2.390, avep: 0.940, top5: 0.926, frac_mc: 0.906, top1: 0.980, mae: 1.159, loss: 0.011

ITERATION - loss: 0.02:   0%|          | 0/13 [02:48<00:01,  7.71it/s]
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ITERATION - loss: 0.02:  62%|██████▏   | 8/13 [02:49<00:00,  6.87it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:49<00:00,  6.99it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:49<00:00,  7.51it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:49<00:00,  8.03it/s]
ITERATION - loss: 0.02: 100%|██████████| 13/13 [02:49<00:00,  8.03it/s]
                                                                       

Training Results - Epoch: 62 Metrics: mse: 2.872, avep: 0.932, top5: 0.920, frac_mc: 0.903, top1: 0.938, mae: 1.202, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [02:50<00:01,  8.03it/s]
                                                                      

Validation Results - Epoch: 62 Metrics: mse: 2.984, avep: 0.942, top5: 0.928, frac_mc: 0.906, top1: 0.960, mae: 1.235, loss: 0.013

ITERATION - loss: 0.02:   0%|          | 0/13 [02:51<00:01,  8.03it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:51<00:01,  5.34it/s]
ITERATION - loss: 0.02:  54%|█████▍    | 7/13 [02:51<00:01,  5.76it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:52<00:00,  6.70it/s]
ITERATION - loss: 0.02:  77%|███████▋  | 10/13 [02:52<00:00,  7.00it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:52<00:00,  7.65it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:52<00:00,  7.65it/s]
                                                                       
Training Results - Epoch: 63 Metrics: mse: 2.512, avep: 0.938, top5: 0.931, frac_mc: 0.907, top1: 0.958, mae: 1.197, loss: 0.012

ITERATION - loss: 0.01:   0%|          | 0/13 [02:53<00:01,  7.65it/s]
                                                                      

Validation Results - Epoch: 63 Metrics: mse: 2.117, avep: 0.943, top5: 0.934, frac_mc: 0.910, top1: 0.970, mae: 1.069, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:53<00:01,  7.65it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:54<00:01,  4.68it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:54<00:00,  5.89it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [02:54<00:00,  6.56it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:54<00:00,  6.82it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:55<00:00,  7.20it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:55<00:00,  7.45it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:55<00:00,  7.45it/s]
                                                                       

Training Results - Epoch: 64 Metrics: mse: 2.294, avep: 0.933, top5: 0.919, frac_mc: 0.903, top1: 0.938, mae: 1.087, loss: 0.011

ITERATION - loss: 0.01:   0%|          | 0/13 [02:56<00:01,  7.45it/s]
                                                                      

Validation Results - Epoch: 64 Metrics: mse: 2.094, avep: 0.939, top5: 0.924, frac_mc: 0.910, top1: 0.950, mae: 1.018, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:56<00:01,  7.45it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [02:57<00:00,  6.17it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [02:57<00:00,  6.68it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [02:57<00:00,  7.29it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [02:57<00:00,  7.89it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [02:57<00:00,  7.89it/s]
                                                                       

Training Results - Epoch: 65 Metrics: mse: 2.182, avep: 0.937, top5: 0.926, frac_mc: 0.906, top1: 0.953, mae: 1.114, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:58<00:01,  7.89it/s]
                                                                      

Validation Results - Epoch: 65 Metrics: mse: 1.954, avep: 0.942, top5: 0.928, frac_mc: 0.918, top1: 0.960, mae: 1.031, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [02:59<00:01,  7.89it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [02:59<00:01,  5.30it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:00<00:00,  6.13it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:00<00:00,  6.30it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:00<00:00,  6.89it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:00<00:00,  7.49it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:00<00:00,  6.80it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:00<00:00,  6.80it/s]
                                                                       

Training Results - Epoch: 66 Metrics: mse: 2.104, avep: 0.936, top5: 0.922, frac_mc: 0.906, top1: 0.950, mae: 1.084, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [03:01<00:01,  6.80it/s]
                                                                      
Validation Results - Epoch: 66 Metrics: mse: 1.747, avep: 0.941, top5: 0.920, frac_mc: 0.919, top1: 0.950, mae: 0.973, loss: 0.009


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ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:03<00:00,  6.99it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:03<00:00,  7.35it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:03<00:00,  6.99it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:03<00:00,  7.44it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:03<00:00,  7.44it/s]
                                                                       

Training Results - Epoch: 67 Metrics: mse: 2.073, avep: 0.934, top5: 0.919, frac_mc: 0.904, top1: 0.950, mae: 1.057, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [03:04<00:01,  7.44it/s]
                                                                      

Validation Results - Epoch: 67 Metrics: mse: 1.716, avep: 0.939, top5: 0.918, frac_mc: 0.921, top1: 0.930, mae: 0.946, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:04<00:01,  7.44it/s]
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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:05<00:01,  5.17it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:05<00:00,  5.98it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:05<00:00,  6.61it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:06<00:00,  7.20it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:06<00:00,  7.45it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:06<00:00,  7.45it/s]
                                                                       

Training Results - Epoch: 68 Metrics: mse: 2.117, avep: 0.935, top5: 0.926, frac_mc: 0.905, top1: 0.953, mae: 1.066, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [03:07<00:01,  7.45it/s]
                                                                      

Validation Results - Epoch: 68 Metrics: mse: 1.761, avep: 0.942, top5: 0.918, frac_mc: 0.919, top1: 0.960, mae: 0.952, loss: 0.009

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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:08<00:00,  6.10it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:08<00:00,  6.59it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:08<00:00,  6.73it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:08<00:00,  7.11it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:08<00:00,  7.70it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:08<00:00,  7.70it/s]
                                                                       

Training Results - Epoch: 69 Metrics: mse: 2.038, avep: 0.936, top5: 0.922, frac_mc: 0.907, top1: 0.948, mae: 1.054, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [03:09<00:01,  7.70it/s]
                                                                      

Validation Results - Epoch: 69 Metrics: mse: 1.739, avep: 0.942, top5: 0.924, frac_mc: 0.918, top1: 0.960, mae: 0.955, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:10<00:01,  7.70it/s]
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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:11<00:01,  5.44it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:11<00:00,  6.26it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:11<00:00,  6.59it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:11<00:00,  7.25it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:11<00:00,  7.31it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:11<00:00,  7.31it/s]
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [03:12<00:01,  7.31it/s]
Training Results - Epoch: 70 Metrics: mse: 2.050, avep: 0.936, top5: 0.923, frac_mc: 0.906, top1: 0.953, mae: 1.065, loss: 0.010

Validation Results - Epoch: 70 Metrics: mse: 1.683, avep: 0.946, top5: 0.932, frac_mc: 0.921, top1: 0.970, mae: 0.950, loss: 0.008

                                                                      

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ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:13<00:00,  6.11it/s]
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ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:14<00:00,  7.31it/s]
                                                                       

Training Results - Epoch: 71 Metrics: mse: 2.046, avep: 0.935, top5: 0.924, frac_mc: 0.905, top1: 0.953, mae: 1.045, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/13 [03:15<00:01,  7.31it/s]
                                                                      

Validation Results - Epoch: 71 Metrics: mse: 1.753, avep: 0.941, top5: 0.924, frac_mc: 0.919, top1: 0.940, mae: 0.943, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:15<00:01,  7.31it/s]
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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:16<00:01,  4.71it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:16<00:00,  5.55it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:16<00:00,  6.33it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:16<00:00,  6.82it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:17<00:00,  6.82it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:17<00:00,  6.82it/s]
                                                                       
Training Results - Epoch: 72 Metrics: mse: 2.021, avep: 0.936, top5: 0.926, frac_mc: 0.906, top1: 0.953, mae: 1.043, loss: 0.009


ITERATION - loss: 0.01:   0%|          | 0/13 [03:18<00:01,  6.82it/s]
Validation Results - Epoch: 72 Metrics: mse: 1.695, avep: 0.942, top5: 0.926, frac_mc: 0.917, top1: 0.950, mae: 0.934, loss: 0.008

                                                                      

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ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:19<00:01,  5.21it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:19<00:00,  5.82it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:19<00:00,  6.57it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:19<00:00,  6.99it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:19<00:00,  7.65it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:19<00:00,  7.93it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:19<00:00,  7.93it/s]
                                                                       

Training Results - Epoch: 73 Metrics: mse: 2.017, avep: 0.936, top5: 0.925, frac_mc: 0.908, top1: 0.950, mae: 1.046, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:20<00:01,  7.93it/s]
                                                                      

Validation Results - Epoch: 73 Metrics: mse: 1.689, avep: 0.944, top5: 0.924, frac_mc: 0.920, top1: 0.960, mae: 0.938, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:21<00:01,  7.93it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:21<00:03,  3.25it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:21<00:02,  4.06it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:21<00:01,  5.37it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:21<00:01,  5.84it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:22<00:00,  6.25it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:22<00:00,  6.86it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:22<00:00,  7.46it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:22<00:00,  7.25it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:22<00:00,  8.68it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:22<00:00,  8.68it/s]
                                                                       

Training Results - Epoch: 74 Metrics: mse: 1.987, avep: 0.936, top5: 0.927, frac_mc: 0.908, top1: 0.950, mae: 1.043, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:23<00:01,  8.68it/s]
                                                                      

Validation Results - Epoch: 74 Metrics: mse: 1.670, avep: 0.946, top5: 0.936, frac_mc: 0.919, top1: 0.970, mae: 0.936, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:23<00:01,  8.68it/s]
ITERATION - loss: 0.01:  15%|█▌        | 2/13 [03:24<00:03,  3.26it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:24<00:02,  4.05it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:24<00:01,  4.87it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [03:24<00:01,  5.33it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:24<00:01,  6.02it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:24<00:00,  6.61it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:24<00:00,  7.01it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:24<00:00,  7.55it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:25<00:00,  7.98it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:25<00:00,  8.35it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:25<00:00,  8.35it/s]
Training Results - Epoch: 75 Metrics: mse: 2.048, avep: 0.937, top5: 0.927, frac_mc: 0.907, top1: 0.950, mae: 1.063, loss: 0.009

                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [03:26<00:01,  8.35it/s]
                                                                      

Validation Results - Epoch: 75 Metrics: mse: 1.649, avep: 0.950, top5: 0.934, frac_mc: 0.924, top1: 0.980, mae: 0.937, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:26<00:01,  8.35it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:27<00:01,  4.88it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:27<00:00,  5.52it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:27<00:00,  6.30it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:27<00:00,  6.24it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:27<00:00,  6.94it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:27<00:00,  7.21it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:27<00:00,  7.21it/s]
                                                                       

Training Results - Epoch: 76 Metrics: mse: 2.050, avep: 0.936, top5: 0.927, frac_mc: 0.906, top1: 0.950, mae: 1.042, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:28<00:01,  7.21it/s]
                                                                      

Validation Results - Epoch: 76 Metrics: mse: 1.821, avep: 0.941, top5: 0.922, frac_mc: 0.916, top1: 0.950, mae: 0.949, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:29<00:01,  7.21it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [03:29<00:06,  1.88it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:29<00:03,  3.19it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:29<00:02,  3.85it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:29<00:01,  4.75it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:29<00:01,  5.46it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:30<00:00,  6.24it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:30<00:00,  6.81it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:30<00:00,  6.75it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:30<00:00,  7.35it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:30<00:00,  8.58it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:30<00:00,  8.58it/s]
                                                                       

Training Results - Epoch: 77 Metrics: mse: 2.017, avep: 0.937, top5: 0.927, frac_mc: 0.907, top1: 0.945, mae: 1.048, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:31<00:01,  8.58it/s]
                                                                      

Validation Results - Epoch: 77 Metrics: mse: 1.645, avep: 0.950, top5: 0.936, frac_mc: 0.924, top1: 0.980, mae: 0.930, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:31<00:01,  8.58it/s]
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ITERATION - loss: 0.01:  31%|███       | 4/13 [03:32<00:02,  3.86it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [03:32<00:01,  4.62it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:32<00:01,  5.29it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:32<00:01,  5.92it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:32<00:00,  6.45it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:32<00:00,  6.86it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:33<00:00,  7.67it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:33<00:00,  7.69it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:33<00:00,  7.69it/s]
                                                                       

Training Results - Epoch: 78 Metrics: mse: 1.976, avep: 0.935, top5: 0.924, frac_mc: 0.905, top1: 0.950, mae: 1.023, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:34<00:01,  7.69it/s]
                                                                      

Validation Results - Epoch: 78 Metrics: mse: 1.705, avep: 0.941, top5: 0.922, frac_mc: 0.919, top1: 0.940, mae: 0.923, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:34<00:01,  7.69it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [03:34<00:06,  1.90it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:34<00:04,  2.48it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:35<00:02,  3.18it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [03:35<00:02,  3.90it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:35<00:01,  4.58it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:35<00:01,  5.36it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:35<00:00,  6.16it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:35<00:00,  6.74it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:35<00:00,  7.31it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:36<00:00,  7.32it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:36<00:00,  7.32it/s]
                                                                       

Training Results - Epoch: 79 Metrics: mse: 1.954, avep: 0.936, top5: 0.926, frac_mc: 0.906, top1: 0.953, mae: 1.019, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:37<00:01,  7.32it/s]
                                                                      

Validation Results - Epoch: 79 Metrics: mse: 1.703, avep: 0.943, top5: 0.926, frac_mc: 0.919, top1: 0.950, mae: 0.925, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:37<00:01,  7.32it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:37<00:03,  3.15it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:37<00:02,  3.92it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:38<00:01,  4.72it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:38<00:00,  5.65it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:38<00:00,  6.00it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:38<00:00,  6.57it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:38<00:00,  7.28it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:38<00:00,  7.25it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:38<00:00,  7.25it/s]
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [03:39<00:01,  7.25it/s]
Training Results - Epoch: 80 Metrics: mse: 1.941, avep: 0.936, top5: 0.924, frac_mc: 0.907, top1: 0.950, mae: 1.018, loss: 0.009

                                                                      

Validation Results - Epoch: 80 Metrics: mse: 1.661, avep: 0.944, top5: 0.926, frac_mc: 0.920, top1: 0.960, mae: 0.920, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:40<00:01,  7.25it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:40<00:01,  5.23it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:40<00:01,  5.73it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:41<00:00,  6.12it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:41<00:00,  6.70it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:41<00:00,  7.10it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:41<00:00,  8.42it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:41<00:00,  8.42it/s]
                                                                       

Training Results - Epoch: 81 Metrics: mse: 1.960, avep: 0.937, top5: 0.927, frac_mc: 0.907, top1: 0.950, mae: 1.018, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:42<00:01,  8.42it/s]
Validation Results - Epoch: 81 Metrics: mse: 1.702, avep: 0.943, top5: 0.924, frac_mc: 0.917, top1: 0.960, mae: 0.922, loss: 0.008

                                                                      

ITERATION - loss: 0.01:   0%|          | 0/13 [03:42<00:01,  8.42it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:43<00:01,  6.10it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:43<00:00,  6.65it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:43<00:00,  7.32it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:43<00:00,  7.67it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:44<00:00,  8.12it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:44<00:00,  8.12it/s]
                                                                       

Training Results - Epoch: 82 Metrics: mse: 1.941, avep: 0.936, top5: 0.925, frac_mc: 0.906, top1: 0.950, mae: 1.014, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:45<00:01,  8.12it/s]
Validation Results - Epoch: 82 Metrics: mse: 1.692, avep: 0.942, top5: 0.924, frac_mc: 0.919, top1: 0.950, mae: 0.920, loss: 0.008

                                                                      

ITERATION - loss: 0.01:   0%|          | 0/13 [03:45<00:01,  8.12it/s]
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ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:46<00:00,  6.26it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:46<00:00,  6.75it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:46<00:00,  7.32it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:46<00:00,  7.47it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:46<00:00,  7.68it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:46<00:00,  7.68it/s]
                                                                       

Training Results - Epoch: 83 Metrics: mse: 2.020, avep: 0.935, top5: 0.923, frac_mc: 0.906, top1: 0.950, mae: 1.020, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:47<00:01,  7.68it/s]
                                                                      

Validation Results - Epoch: 83 Metrics: mse: 1.835, avep: 0.940, top5: 0.916, frac_mc: 0.918, top1: 0.940, mae: 0.934, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:48<00:01,  7.68it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:48<00:01,  5.56it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:49<00:00,  6.35it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:49<00:00,  6.75it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:49<00:00,  7.32it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:49<00:00,  7.53it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:49<00:00,  8.12it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:49<00:00,  8.12it/s]
                                                                       

Training Results - Epoch: 84 Metrics: mse: 1.947, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.950, mae: 1.010, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:50<00:01,  8.12it/s]
                                                                      

Validation Results - Epoch: 84 Metrics: mse: 1.694, avep: 0.943, top5: 0.924, frac_mc: 0.917, top1: 0.960, mae: 0.914, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:50<00:01,  8.12it/s]
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ITERATION - loss: 0.01:  31%|███       | 4/13 [03:51<00:02,  3.97it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [03:51<00:01,  4.77it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:51<00:01,  5.54it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:51<00:00,  6.27it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:51<00:00,  6.99it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:52<00:00,  6.86it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:52<00:00,  7.41it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:52<00:00,  7.78it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:52<00:00,  7.78it/s]
                                                                       

Training Results - Epoch: 85 Metrics: mse: 1.928, avep: 0.936, top5: 0.927, frac_mc: 0.909, top1: 0.948, mae: 1.014, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [03:53<00:01,  7.78it/s]
                                                                      

Validation Results - Epoch: 85 Metrics: mse: 1.621, avep: 0.949, top5: 0.938, frac_mc: 0.921, top1: 0.970, mae: 0.911, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:53<00:01,  7.78it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:53<00:03,  3.21it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:54<00:02,  3.92it/s]
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ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:54<00:01,  5.53it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:54<00:01,  5.93it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:54<00:00,  6.84it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:54<00:00,  7.07it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:54<00:00,  7.36it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:54<00:00,  7.91it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:54<00:00,  7.91it/s]
                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [03:56<00:01,  7.91it/s]
Training Results - Epoch: 86 Metrics: mse: 1.926, avep: 0.936, top5: 0.926, frac_mc: 0.909, top1: 0.948, mae: 1.013, loss: 0.009

                                                                      

Validation Results - Epoch: 86 Metrics: mse: 1.621, avep: 0.948, top5: 0.936, frac_mc: 0.921, top1: 0.970, mae: 0.909, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:56<00:01,  7.91it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [03:56<00:06,  1.91it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:56<00:03,  3.16it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:56<00:02,  3.82it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [03:56<00:01,  4.65it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:56<00:01,  5.38it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:57<00:00,  6.23it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:57<00:00,  6.79it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:57<00:00,  7.24it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [03:57<00:00,  7.66it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [03:57<00:00,  8.14it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [03:57<00:00,  7.97it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [03:57<00:00,  7.97it/s]
Training Results - Epoch: 87 Metrics: mse: 1.921, avep: 0.936, top5: 0.926, frac_mc: 0.908, top1: 0.948, mae: 1.009, loss: 0.009

                                                                       

ITERATION - loss: 0.01:   0%|          | 0/13 [03:58<00:01,  7.97it/s]
                                                                      

Validation Results - Epoch: 87 Metrics: mse: 1.655, avep: 0.947, top5: 0.934, frac_mc: 0.920, top1: 0.970, mae: 0.913, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [03:58<00:01,  7.97it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [03:59<00:06,  1.95it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [03:59<00:03,  3.29it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [03:59<00:02,  3.94it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [03:59<00:01,  4.79it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [03:59<00:01,  5.30it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [03:59<00:00,  6.14it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [03:59<00:00,  6.85it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:00<00:00,  6.80it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:00<00:00,  7.14it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:00<00:00,  7.18it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:00<00:00,  7.18it/s]
                                                                       

Training Results - Epoch: 88 Metrics: mse: 1.915, avep: 0.936, top5: 0.926, frac_mc: 0.909, top1: 0.948, mae: 1.011, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:01<00:01,  7.18it/s]
                                                                      

Validation Results - Epoch: 88 Metrics: mse: 1.621, avep: 0.948, top5: 0.938, frac_mc: 0.921, top1: 0.970, mae: 0.909, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:01<00:01,  7.18it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:01<00:06,  1.78it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:02<00:03,  2.97it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:02<00:02,  3.76it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:02<00:01,  4.60it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:02<00:01,  5.44it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:02<00:00,  5.67it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:02<00:00,  6.16it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:02<00:00,  6.94it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:03<00:00,  6.89it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:03<00:00,  7.47it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:03<00:00,  7.47it/s]
                                                                       

Training Results - Epoch: 89 Metrics: mse: 1.910, avep: 0.936, top5: 0.925, frac_mc: 0.908, top1: 0.948, mae: 1.006, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:04<00:01,  7.47it/s]
                                                                      

Validation Results - Epoch: 89 Metrics: mse: 1.644, avep: 0.947, top5: 0.934, frac_mc: 0.921, top1: 0.970, mae: 0.910, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:04<00:01,  7.47it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:04<00:06,  1.95it/s]
ITERATION - loss: 0.01:  15%|█▌        | 2/13 [04:04<00:04,  2.46it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:04<00:03,  3.16it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:04<00:02,  3.90it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:05<00:01,  4.71it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:05<00:01,  5.45it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:05<00:01,  5.86it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:05<00:00,  6.27it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:05<00:00,  6.77it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:05<00:00,  7.25it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:05<00:00,  7.90it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:05<00:00,  8.22it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:06<00:00,  8.22it/s]
                                                                       
Training Results - Epoch: 90 Metrics: mse: 1.928, avep: 0.937, top5: 0.927, frac_mc: 0.908, top1: 0.948, mae: 1.017, loss: 0.009


ITERATION - loss: 0.01:   0%|          | 0/13 [04:07<00:01,  8.22it/s]
                                                                      

Validation Results - Epoch: 90 Metrics: mse: 1.609, avep: 0.948, top5: 0.936, frac_mc: 0.920, top1: 0.970, mae: 0.909, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:07<00:01,  8.22it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:07<00:06,  1.86it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:07<00:03,  3.07it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:07<00:02,  3.82it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:07<00:01,  4.42it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:08<00:01,  5.11it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:08<00:00,  6.12it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:08<00:00,  6.51it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:08<00:00,  7.19it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:08<00:00,  7.73it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:08<00:00,  7.63it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:08<00:00,  7.63it/s]
                                                                       

Training Results - Epoch: 91 Metrics: mse: 1.907, avep: 0.936, top5: 0.925, frac_mc: 0.907, top1: 0.948, mae: 1.006, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:09<00:01,  7.63it/s]
                                                                      

Validation Results - Epoch: 91 Metrics: mse: 1.638, avep: 0.947, top5: 0.934, frac_mc: 0.921, top1: 0.970, mae: 0.909, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:10<00:01,  7.63it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:10<00:06,  1.92it/s]
ITERATION - loss: 0.01:  15%|█▌        | 2/13 [04:10<00:04,  2.53it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:10<00:03,  3.10it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:10<00:02,  3.92it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:10<00:01,  4.48it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:10<00:01,  5.32it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:10<00:00,  6.02it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:11<00:00,  6.10it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:11<00:00,  6.73it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:11<00:00,  7.22it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:11<00:00,  7.79it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:11<00:00,  7.79it/s]
                                                                       

Training Results - Epoch: 92 Metrics: mse: 1.905, avep: 0.936, top5: 0.925, frac_mc: 0.907, top1: 0.948, mae: 1.008, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:12<00:01,  7.79it/s]
                                                                      

Validation Results - Epoch: 92 Metrics: mse: 1.617, avep: 0.948, top5: 0.936, frac_mc: 0.921, top1: 0.970, mae: 0.907, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:12<00:01,  7.79it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:12<00:02,  3.43it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:13<00:02,  4.14it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:13<00:01,  5.10it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:13<00:01,  5.80it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:13<00:00,  6.73it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:13<00:00,  7.45it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:13<00:00,  7.91it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:13<00:00,  8.13it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:13<00:00,  8.13it/s]
                                                                       

Training Results - Epoch: 93 Metrics: mse: 1.909, avep: 0.936, top5: 0.926, frac_mc: 0.908, top1: 0.948, mae: 1.006, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:14<00:01,  8.13it/s]
                                                                      

Validation Results - Epoch: 93 Metrics: mse: 1.631, avep: 0.947, top5: 0.934, frac_mc: 0.919, top1: 0.970, mae: 0.907, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:15<00:01,  8.13it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:15<00:05,  2.15it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:15<00:03,  2.81it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:15<00:02,  3.45it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:15<00:01,  4.19it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:15<00:01,  4.83it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:15<00:01,  5.68it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:16<00:00,  6.63it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:16<00:00,  7.22it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:16<00:00,  8.06it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:16<00:00,  8.06it/s]
                                                                       

Training Results - Epoch: 94 Metrics: mse: 1.902, avep: 0.936, top5: 0.925, frac_mc: 0.907, top1: 0.948, mae: 1.006, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:17<00:01,  8.06it/s]
                                                                      

Validation Results - Epoch: 94 Metrics: mse: 1.615, avep: 0.948, top5: 0.936, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:17<00:01,  8.06it/s]
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ITERATION - loss: 0.01:  31%|███       | 4/13 [04:17<00:02,  3.40it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:18<00:01,  4.27it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:18<00:01,  5.12it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:18<00:00,  6.11it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:18<00:00,  6.61it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:18<00:00,  7.29it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:18<00:00,  7.76it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:18<00:00,  7.76it/s]
                                                                       

Training Results - Epoch: 95 Metrics: mse: 1.904, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.005, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:19<00:01,  7.76it/s]
                                                                      

Validation Results - Epoch: 95 Metrics: mse: 1.621, avep: 0.947, top5: 0.934, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:20<00:01,  7.76it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:20<00:06,  1.99it/s]
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ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:20<00:03,  3.29it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:20<00:02,  3.96it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:20<00:01,  4.74it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:20<00:00,  5.65it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:21<00:00,  6.26it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:21<00:00,  6.33it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:21<00:00,  6.79it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:21<00:00,  7.49it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:21<00:00,  7.49it/s]
                                                                       

Training Results - Epoch: 96 Metrics: mse: 1.900, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.004, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:22<00:01,  7.49it/s]
                                                                      

ITERATION - loss: 0.01:   0%|          | 0/13 [04:22<00:01,  7.49it/s]
Validation Results - Epoch: 96 Metrics: mse: 1.622, avep: 0.947, top5: 0.934, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:22<00:05,  2.19it/s]
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ITERATION - loss: 0.01:  31%|███       | 4/13 [04:22<00:02,  3.63it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:23<00:01,  4.51it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:23<00:00,  5.38it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:23<00:00,  6.25it/s]
ITERATION - loss: 0.01:  77%|███████▋  | 10/13 [04:23<00:00,  6.66it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:23<00:00,  6.68it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:23<00:00,  7.37it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:23<00:00,  7.37it/s]
                                                                       

Training Results - Epoch: 97 Metrics: mse: 1.900, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.004, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:24<00:01,  7.37it/s]
Validation Results - Epoch: 97 Metrics: mse: 1.620, avep: 0.947, top5: 0.934, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

                                                                      

ITERATION - loss: 0.01:   0%|          | 0/13 [04:24<00:01,  7.37it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:25<00:05,  2.17it/s]
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ITERATION - loss: 0.01:  31%|███       | 4/13 [04:25<00:02,  3.56it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:25<00:01,  4.23it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:25<00:01,  5.02it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:25<00:00,  5.96it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:25<00:00,  6.77it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:26<00:00,  7.27it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:26<00:00,  7.80it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:26<00:00,  7.80it/s]
                                                                       
Training Results - Epoch: 98 Metrics: mse: 1.899, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.005, loss: 0.009


ITERATION - loss: 0.01:   0%|          | 0/13 [04:27<00:01,  7.80it/s]
                                                                      

Validation Results - Epoch: 98 Metrics: mse: 1.614, avep: 0.948, top5: 0.936, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:27<00:01,  7.80it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:27<00:05,  2.18it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:27<00:03,  2.83it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:27<00:02,  3.60it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:28<00:01,  4.38it/s]
ITERATION - loss: 0.01:  54%|█████▍    | 7/13 [04:28<00:01,  5.18it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:28<00:00,  6.17it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:28<00:00,  6.77it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:28<00:00,  7.40it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:28<00:00,  7.40it/s]
                                                                       

Training Results - Epoch: 99 Metrics: mse: 1.899, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.005, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:29<00:01,  7.40it/s]
                                                                      

Validation Results - Epoch: 99 Metrics: mse: 1.613, avep: 0.948, top5: 0.936, frac_mc: 0.919, top1: 0.970, mae: 0.904, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:29<00:01,  7.40it/s]
ITERATION - loss: 0.01:   8%|▊         | 1/13 [04:29<00:05,  2.13it/s]
ITERATION - loss: 0.01:  15%|█▌        | 2/13 [04:29<00:04,  2.74it/s]
ITERATION - loss: 0.01:  23%|██▎       | 3/13 [04:30<00:02,  3.47it/s]
ITERATION - loss: 0.01:  31%|███       | 4/13 [04:30<00:02,  4.28it/s]
ITERATION - loss: 0.01:  38%|███▊      | 5/13 [04:30<00:01,  5.11it/s]
ITERATION - loss: 0.01:  46%|████▌     | 6/13 [04:30<00:01,  5.75it/s]
ITERATION - loss: 0.01:  62%|██████▏   | 8/13 [04:30<00:00,  6.64it/s]
ITERATION - loss: 0.01:  69%|██████▉   | 9/13 [04:30<00:00,  6.97it/s]
ITERATION - loss: 0.01:  85%|████████▍ | 11/13 [04:30<00:00,  7.64it/s]
ITERATION - loss: 0.01:  92%|█████████▏| 12/13 [04:31<00:00,  7.52it/s]
ITERATION - loss: 0.01: 100%|██████████| 13/13 [04:31<00:00,  7.52it/s]
                                                                       

Training Results - Epoch: 100 Metrics: mse: 1.898, avep: 0.936, top5: 0.926, frac_mc: 0.907, top1: 0.948, mae: 1.003, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/13 [04:32<00:01,  7.52it/s]
                                                                      

Validation Results - Epoch: 100 Metrics: mse: 1.620, avep: 0.947, top5: 0.934, frac_mc: 0.919, top1: 0.970, mae: 0.905, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/13 [04:32<00:01,  7.52it/s]
                                                                      
mse: 1.620
avep: 0.947
top5: 0.934
frac_mc: 0.919
top1: 0.970
mae: 0.905
loss: 0.008
