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Training Results - Epoch: 0 Metrics: mse: 8.567, avep: 0.904, top5: 0.918, frac_mc: 0.848, top1: 0.958, mae: 2.141, loss: 0.037

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Validation Results - Epoch: 0 Metrics: mse: 8.233, avep: 0.896, top5: 0.906, frac_mc: 0.838, top1: 0.970, mae: 2.100, loss: 0.037

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Training Results - Epoch: 1 Metrics: mse: 6.741, avep: 0.933, top5: 0.940, frac_mc: 0.877, top1: 0.978, mae: 1.995, loss: 0.032

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Validation Results - Epoch: 1 Metrics: mse: 6.520, avep: 0.930, top5: 0.936, frac_mc: 0.869, top1: 0.980, mae: 1.954, loss: 0.032

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Training Results - Epoch: 2 Metrics: mse: 7.127, avep: 0.931, top5: 0.938, frac_mc: 0.874, top1: 0.976, mae: 2.017, loss: 0.031

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Validation Results - Epoch: 2 Metrics: mse: 6.872, avep: 0.928, top5: 0.933, frac_mc: 0.867, top1: 0.980, mae: 1.974, loss: 0.031

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Training Results - Epoch: 3 Metrics: mse: 5.260, avep: 0.926, top5: 0.935, frac_mc: 0.868, top1: 0.972, mae: 1.714, loss: 0.025

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Validation Results - Epoch: 3 Metrics: mse: 5.133, avep: 0.925, top5: 0.931, frac_mc: 0.862, top1: 0.974, mae: 1.679, loss: 0.025

                                                                      

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Training Results - Epoch: 4 Metrics: mse: 4.522, avep: 0.928, top5: 0.933, frac_mc: 0.872, top1: 0.973, mae: 1.559, loss: 0.022

                                                                       

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Validation Results - Epoch: 4 Metrics: mse: 4.523, avep: 0.925, top5: 0.925, frac_mc: 0.866, top1: 0.974, mae: 1.551, loss: 0.022

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ITERATION - loss: 0.02: 100%|██████████| 63/63 [01:03<00:00,  8.64it/s]
                                                                       

Training Results - Epoch: 5 Metrics: mse: 4.343, avep: 0.929, top5: 0.935, frac_mc: 0.872, top1: 0.972, mae: 1.546, loss: 0.021

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Validation Results - Epoch: 5 Metrics: mse: 4.428, avep: 0.926, top5: 0.926, frac_mc: 0.865, top1: 0.974, mae: 1.552, loss: 0.021

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ITERATION - loss: 0.02: 100%|██████████| 63/63 [01:16<00:00,  9.69it/s]
                                                                       

Training Results - Epoch: 6 Metrics: mse: 4.344, avep: 0.929, top5: 0.934, frac_mc: 0.872, top1: 0.971, mae: 1.592, loss: 0.021

ITERATION - loss: 0.02:   0%|          | 0/63 [01:21<00:06,  9.69it/s]
                                                                      

Validation Results - Epoch: 6 Metrics: mse: 4.583, avep: 0.926, top5: 0.926, frac_mc: 0.866, top1: 0.974, mae: 1.620, loss: 0.021

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Training Results - Epoch: 7 Metrics: mse: 3.724, avep: 0.927, top5: 0.932, frac_mc: 0.871, top1: 0.971, mae: 1.474, loss: 0.018

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Validation Results - Epoch: 7 Metrics: mse: 3.545, avep: 0.922, top5: 0.923, frac_mc: 0.861, top1: 0.968, mae: 1.454, loss: 0.017

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Training Results - Epoch: 8 Metrics: mse: 2.918, avep: 0.910, top5: 0.910, frac_mc: 0.857, top1: 0.947, mae: 1.307, loss: 0.016

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Validation Results - Epoch: 8 Metrics: mse: 2.827, avep: 0.905, top5: 0.910, frac_mc: 0.850, top1: 0.940, mae: 1.288, loss: 0.015

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Training Results - Epoch: 9 Metrics: mse: 2.721, avep: 0.926, top5: 0.929, frac_mc: 0.873, top1: 0.968, mae: 1.194, loss: 0.013

                                                                       

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Validation Results - Epoch: 9 Metrics: mse: 2.447, avep: 0.922, top5: 0.926, frac_mc: 0.865, top1: 0.968, mae: 1.158, loss: 0.012

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [02:08<00:00,  8.81it/s]
                                                                       

Training Results - Epoch: 10 Metrics: mse: 2.322, avep: 0.926, top5: 0.928, frac_mc: 0.873, top1: 0.965, mae: 1.125, loss: 0.012

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Validation Results - Epoch: 10 Metrics: mse: 2.152, avep: 0.922, top5: 0.923, frac_mc: 0.863, top1: 0.962, mae: 1.106, loss: 0.011

                                                                      

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Training Results - Epoch: 11 Metrics: mse: 2.407, avep: 0.930, top5: 0.934, frac_mc: 0.878, top1: 0.969, mae: 1.181, loss: 0.012

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Validation Results - Epoch: 11 Metrics: mse: 2.335, avep: 0.925, top5: 0.929, frac_mc: 0.871, top1: 0.966, mae: 1.181, loss: 0.012

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Training Results - Epoch: 12 Metrics: mse: 1.998, avep: 0.931, top5: 0.930, frac_mc: 0.882, top1: 0.965, mae: 1.017, loss: 0.010


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Validation Results - Epoch: 12 Metrics: mse: 1.820, avep: 0.927, top5: 0.926, frac_mc: 0.874, top1: 0.964, mae: 0.997, loss: 0.010

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Training Results - Epoch: 13 Metrics: mse: 2.595, avep: 0.926, top5: 0.930, frac_mc: 0.875, top1: 0.964, mae: 1.105, loss: 0.012

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Validation Results - Epoch: 13 Metrics: mse: 2.260, avep: 0.926, top5: 0.931, frac_mc: 0.871, top1: 0.964, mae: 1.052, loss: 0.011

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Training Results - Epoch: 14 Metrics: mse: 1.932, avep: 0.934, top5: 0.935, frac_mc: 0.883, top1: 0.966, mae: 1.032, loss: 0.010

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Validation Results - Epoch: 14 Metrics: mse: 1.840, avep: 0.932, top5: 0.935, frac_mc: 0.881, top1: 0.968, mae: 1.029, loss: 0.010

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Training Results - Epoch: 15 Metrics: mse: 2.136, avep: 0.936, top5: 0.938, frac_mc: 0.886, top1: 0.970, mae: 1.100, loss: 0.012

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Validation Results - Epoch: 15 Metrics: mse: 1.885, avep: 0.934, top5: 0.939, frac_mc: 0.882, top1: 0.972, mae: 1.057, loss: 0.011

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Training Results - Epoch: 16 Metrics: mse: 1.912, avep: 0.931, top5: 0.929, frac_mc: 0.883, top1: 0.958, mae: 1.014, loss: 0.010

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Validation Results - Epoch: 16 Metrics: mse: 1.791, avep: 0.928, top5: 0.928, frac_mc: 0.879, top1: 0.954, mae: 1.003, loss: 0.010

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Training Results - Epoch: 17 Metrics: mse: 1.921, avep: 0.939, top5: 0.945, frac_mc: 0.889, top1: 0.971, mae: 0.995, loss: 0.010

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Validation Results - Epoch: 17 Metrics: mse: 1.693, avep: 0.936, top5: 0.940, frac_mc: 0.882, top1: 0.966, mae: 0.963, loss: 0.009

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Training Results - Epoch: 18 Metrics: mse: 1.900, avep: 0.938, top5: 0.942, frac_mc: 0.887, top1: 0.969, mae: 0.963, loss: 0.009

                                                                      

Validation Results - Epoch: 18 Metrics: mse: 1.682, avep: 0.935, top5: 0.936, frac_mc: 0.883, top1: 0.966, mae: 0.934, loss: 0.009

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Training Results - Epoch: 19 Metrics: mse: 1.691, avep: 0.935, top5: 0.937, frac_mc: 0.885, top1: 0.965, mae: 0.934, loss: 0.009

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Validation Results - Epoch: 19 Metrics: mse: 1.553, avep: 0.934, top5: 0.935, frac_mc: 0.881, top1: 0.968, mae: 0.922, loss: 0.008

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Training Results - Epoch: 20 Metrics: mse: 2.652, avep: 0.931, top5: 0.933, frac_mc: 0.883, top1: 0.955, mae: 1.207, loss: 0.013

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Validation Results - Epoch: 20 Metrics: mse: 2.761, avep: 0.929, top5: 0.930, frac_mc: 0.878, top1: 0.962, mae: 1.226, loss: 0.013

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [04:31<00:00,  8.67it/s]
                                                                       

Training Results - Epoch: 21 Metrics: mse: 2.238, avep: 0.935, top5: 0.938, frac_mc: 0.884, top1: 0.966, mae: 1.035, loss: 0.011

ITERATION - loss: 0.01:   0%|          | 0/63 [04:36<00:07,  8.67it/s]
                                                                      

Validation Results - Epoch: 21 Metrics: mse: 1.928, avep: 0.933, top5: 0.935, frac_mc: 0.881, top1: 0.980, mae: 0.991, loss: 0.010

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [04:44<00:00,  9.20it/s]
Training Results - Epoch: 22 Metrics: mse: 1.531, avep: 0.936, top5: 0.940, frac_mc: 0.887, top1: 0.967, mae: 0.896, loss: 0.008

                                                                       

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Validation Results - Epoch: 22 Metrics: mse: 1.345, avep: 0.934, top5: 0.935, frac_mc: 0.882, top1: 0.964, mae: 0.873, loss: 0.008

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [04:57<00:00,  8.87it/s]
                                                                       

Training Results - Epoch: 23 Metrics: mse: 2.318, avep: 0.934, top5: 0.939, frac_mc: 0.883, top1: 0.965, mae: 1.038, loss: 0.011

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Validation Results - Epoch: 23 Metrics: mse: 1.957, avep: 0.930, top5: 0.932, frac_mc: 0.877, top1: 0.962, mae: 0.983, loss: 0.010

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Training Results - Epoch: 24 Metrics: mse: 1.508, avep: 0.939, top5: 0.942, frac_mc: 0.888, top1: 0.970, mae: 0.896, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/63 [05:15<00:07,  8.44it/s]
                                                                      

Validation Results - Epoch: 24 Metrics: mse: 1.318, avep: 0.936, top5: 0.938, frac_mc: 0.882, top1: 0.972, mae: 0.869, loss: 0.007

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Training Results - Epoch: 25 Metrics: mse: 2.270, avep: 0.940, top5: 0.944, frac_mc: 0.890, top1: 0.968, mae: 1.023, loss: 0.011

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Validation Results - Epoch: 25 Metrics: mse: 1.957, avep: 0.937, top5: 0.938, frac_mc: 0.882, top1: 0.966, mae: 0.976, loss: 0.009

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Training Results - Epoch: 26 Metrics: mse: 2.493, avep: 0.928, top5: 0.930, frac_mc: 0.877, top1: 0.960, mae: 1.037, loss: 0.011

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Validation Results - Epoch: 26 Metrics: mse: 2.011, avep: 0.924, top5: 0.930, frac_mc: 0.872, top1: 0.948, mae: 0.958, loss: 0.009

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [05:51<00:00,  8.65it/s]
                                                                       

Training Results - Epoch: 27 Metrics: mse: 2.287, avep: 0.933, top5: 0.936, frac_mc: 0.882, top1: 0.964, mae: 1.034, loss: 0.010

ITERATION - loss: 0.01:   0%|          | 0/63 [05:56<00:07,  8.65it/s]
                                                                      

Validation Results - Epoch: 27 Metrics: mse: 1.820, avep: 0.929, top5: 0.933, frac_mc: 0.873, top1: 0.960, mae: 0.954, loss: 0.009

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [06:04<00:00,  9.03it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 1.938, avep: 0.941, top5: 0.945, frac_mc: 0.891, top1: 0.973, mae: 0.955, loss: 0.009

ITERATION - loss: 0.01:   0%|          | 0/63 [06:09<00:06,  9.03it/s]
                                                                      

Validation Results - Epoch: 28 Metrics: mse: 1.612, avep: 0.937, top5: 0.942, frac_mc: 0.884, top1: 0.964, mae: 0.909, loss: 0.008

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Training Results - Epoch: 29 Metrics: mse: 1.661, avep: 0.934, top5: 0.936, frac_mc: 0.883, top1: 0.966, mae: 0.887, loss: 0.008
                                                                       


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Validation Results - Epoch: 29 Metrics: mse: 1.368, avep: 0.932, top5: 0.935, frac_mc: 0.879, top1: 0.970, mae: 0.841, loss: 0.007

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Training Results - Epoch: 30 Metrics: mse: 1.456, avep: 0.941, top5: 0.945, frac_mc: 0.891, top1: 0.971, mae: 0.882, loss: 0.008

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Validation Results - Epoch: 30 Metrics: mse: 1.281, avep: 0.938, top5: 0.940, frac_mc: 0.886, top1: 0.970, mae: 0.858, loss: 0.007

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Training Results - Epoch: 31 Metrics: mse: 1.657, avep: 0.938, top5: 0.941, frac_mc: 0.887, top1: 0.969, mae: 0.884, loss: 0.008

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Validation Results - Epoch: 31 Metrics: mse: 1.315, avep: 0.934, top5: 0.936, frac_mc: 0.882, top1: 0.966, mae: 0.826, loss: 0.007

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Training Results - Epoch: 32 Metrics: mse: 1.399, avep: 0.938, top5: 0.941, frac_mc: 0.887, top1: 0.967, mae: 0.817, loss: 0.007

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Validation Results - Epoch: 32 Metrics: mse: 1.275, avep: 0.934, top5: 0.934, frac_mc: 0.882, top1: 0.964, mae: 0.815, loss: 0.007

                                                                      

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Training Results - Epoch: 33 Metrics: mse: 1.935, avep: 0.936, top5: 0.940, frac_mc: 0.887, top1: 0.966, mae: 0.948, loss: 0.009

                                                                      

Validation Results - Epoch: 33 Metrics: mse: 1.591, avep: 0.932, top5: 0.934, frac_mc: 0.882, top1: 0.960, mae: 0.890, loss: 0.008

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [07:23<00:00,  8.55it/s]
                                                                       

Training Results - Epoch: 34 Metrics: mse: 1.358, avep: 0.938, top5: 0.942, frac_mc: 0.889, top1: 0.968, mae: 0.824, loss: 0.007

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Validation Results - Epoch: 34 Metrics: mse: 1.120, avep: 0.932, top5: 0.933, frac_mc: 0.880, top1: 0.962, mae: 0.783, loss: 0.006

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Training Results - Epoch: 35 Metrics: mse: 1.350, avep: 0.937, top5: 0.940, frac_mc: 0.888, top1: 0.965, mae: 0.799, loss: 0.007

ITERATION - loss: 0.01:   0%|          | 0/63 [07:41<00:06,  9.86it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 1.141, avep: 0.933, top5: 0.936, frac_mc: 0.883, top1: 0.956, mae: 0.770, loss: 0.006

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Training Results - Epoch: 36 Metrics: mse: 1.198, avep: 0.941, top5: 0.944, frac_mc: 0.892, top1: 0.969, mae: 0.770, loss: 0.007

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Validation Results - Epoch: 36 Metrics: mse: 1.055, avep: 0.937, top5: 0.938, frac_mc: 0.884, top1: 0.966, mae: 0.756, loss: 0.006

                                                                      

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Training Results - Epoch: 37 Metrics: mse: 1.814, avep: 0.940, top5: 0.945, frac_mc: 0.890, top1: 0.969, mae: 0.967, loss: 0.010

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Validation Results - Epoch: 37 Metrics: mse: 1.673, avep: 0.937, top5: 0.940, frac_mc: 0.883, top1: 0.974, mae: 0.944, loss: 0.009

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Training Results - Epoch: 38 Metrics: mse: 1.294, avep: 0.941, top5: 0.944, frac_mc: 0.893, top1: 0.965, mae: 0.790, loss: 0.007

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Validation Results - Epoch: 38 Metrics: mse: 1.101, avep: 0.935, top5: 0.936, frac_mc: 0.887, top1: 0.954, mae: 0.767, loss: 0.006

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [08:28<00:00,  9.86it/s]
                                                                       

Training Results - Epoch: 39 Metrics: mse: 1.236, avep: 0.938, top5: 0.940, frac_mc: 0.890, top1: 0.961, mae: 0.776, loss: 0.007

ITERATION - loss: 0.00:   0%|          | 0/63 [08:33<00:06,  9.86it/s]
                                                                      

Validation Results - Epoch: 39 Metrics: mse: 1.149, avep: 0.931, top5: 0.934, frac_mc: 0.883, top1: 0.946, mae: 0.782, loss: 0.007

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Training Results - Epoch: 40 Metrics: mse: 1.173, avep: 0.941, top5: 0.943, frac_mc: 0.892, top1: 0.967, mae: 0.771, loss: 0.007

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Validation Results - Epoch: 40 Metrics: mse: 1.110, avep: 0.937, top5: 0.940, frac_mc: 0.886, top1: 0.962, mae: 0.781, loss: 0.006

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Training Results - Epoch: 41 Metrics: mse: 1.137, avep: 0.938, top5: 0.940, frac_mc: 0.892, top1: 0.960, mae: 0.744, loss: 0.006

                                                                       

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Validation Results - Epoch: 41 Metrics: mse: 0.982, avep: 0.935, top5: 0.938, frac_mc: 0.887, top1: 0.962, mae: 0.726, loss: 0.006

                                                                      

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Training Results - Epoch: 42 Metrics: mse: 1.950, avep: 0.928, top5: 0.930, frac_mc: 0.879, top1: 0.952, mae: 0.979, loss: 0.010

                                                                       

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Validation Results - Epoch: 42 Metrics: mse: 1.592, avep: 0.924, top5: 0.926, frac_mc: 0.874, top1: 0.946, mae: 0.920, loss: 0.009

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Training Results - Epoch: 43 Metrics: mse: 1.286, avep: 0.942, top5: 0.945, frac_mc: 0.893, top1: 0.968, mae: 0.792, loss: 0.007

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Validation Results - Epoch: 43 Metrics: mse: 1.107, avep: 0.935, top5: 0.937, frac_mc: 0.885, top1: 0.958, mae: 0.770, loss: 0.006

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Training Results - Epoch: 44 Metrics: mse: 1.184, avep: 0.938, top5: 0.939, frac_mc: 0.889, top1: 0.961, mae: 0.754, loss: 0.007

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Validation Results - Epoch: 44 Metrics: mse: 1.017, avep: 0.933, top5: 0.936, frac_mc: 0.885, top1: 0.956, mae: 0.735, loss: 0.006

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Training Results - Epoch: 45 Metrics: mse: 2.235, avep: 0.940, top5: 0.943, frac_mc: 0.891, top1: 0.968, mae: 0.973, loss: 0.010

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Validation Results - Epoch: 45 Metrics: mse: 1.916, avep: 0.938, top5: 0.942, frac_mc: 0.885, top1: 0.968, mae: 0.934, loss: 0.009

                                                                      

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Training Results - Epoch: 46 Metrics: mse: 1.291, avep: 0.943, top5: 0.946, frac_mc: 0.894, top1: 0.973, mae: 0.830, loss: 0.008

ITERATION - loss: 0.01:   0%|          | 0/63 [10:04<00:06, 10.11it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 1.191, avep: 0.940, top5: 0.944, frac_mc: 0.890, top1: 0.966, mae: 0.824, loss: 0.007

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Training Results - Epoch: 47 Metrics: mse: 1.215, avep: 0.943, top5: 0.946, frac_mc: 0.895, top1: 0.969, mae: 0.777, loss: 0.007

                                                                       

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Validation Results - Epoch: 47 Metrics: mse: 1.106, avep: 0.940, top5: 0.946, frac_mc: 0.892, top1: 0.966, mae: 0.770, loss: 0.006

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Training Results - Epoch: 48 Metrics: mse: 1.033, avep: 0.941, top5: 0.943, frac_mc: 0.893, top1: 0.968, mae: 0.708, loss: 0.006

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Validation Results - Epoch: 48 Metrics: mse: 0.935, avep: 0.938, top5: 0.944, frac_mc: 0.891, top1: 0.968, mae: 0.706, loss: 0.005

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Training Results - Epoch: 49 Metrics: mse: 1.030, avep: 0.940, top5: 0.942, frac_mc: 0.893, top1: 0.967, mae: 0.701, loss: 0.006

ITERATION - loss: 0.01:   0%|          | 0/63 [10:43<00:06, 10.18it/s]
Validation Results - Epoch: 49 Metrics: mse: 0.914, avep: 0.936, top5: 0.938, frac_mc: 0.890, top1: 0.960, mae: 0.698, loss: 0.005

                                                                      

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Training Results - Epoch: 50 Metrics: mse: 0.998, avep: 0.940, top5: 0.941, frac_mc: 0.892, top1: 0.966, mae: 0.693, loss: 0.006

ITERATION - loss: 0.00:   0%|          | 0/63 [10:56<00:06,  9.14it/s]
                                                                      
Validation Results - Epoch: 50 Metrics: mse: 0.905, avep: 0.938, top5: 0.941, frac_mc: 0.891, top1: 0.964, mae: 0.697, loss: 0.005

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Training Results - Epoch: 51 Metrics: mse: 1.000, avep: 0.939, top5: 0.939, frac_mc: 0.891, top1: 0.966, mae: 0.691, loss: 0.006

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Validation Results - Epoch: 51 Metrics: mse: 0.901, avep: 0.936, top5: 0.941, frac_mc: 0.889, top1: 0.964, mae: 0.692, loss: 0.005


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Training Results - Epoch: 52 Metrics: mse: 1.014, avep: 0.940, top5: 0.941, frac_mc: 0.892, top1: 0.966, mae: 0.697, loss: 0.006

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Validation Results - Epoch: 52 Metrics: mse: 0.914, avep: 0.936, top5: 0.939, frac_mc: 0.889, top1: 0.962, mae: 0.699, loss: 0.005

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Training Results - Epoch: 53 Metrics: mse: 0.983, avep: 0.941, top5: 0.943, frac_mc: 0.893, top1: 0.966, mae: 0.685, loss: 0.006

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Validation Results - Epoch: 53 Metrics: mse: 0.905, avep: 0.938, top5: 0.942, frac_mc: 0.890, top1: 0.964, mae: 0.697, loss: 0.005

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Training Results - Epoch: 54 Metrics: mse: 0.957, avep: 0.941, top5: 0.943, frac_mc: 0.894, top1: 0.965, mae: 0.677, loss: 0.006

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Validation Results - Epoch: 54 Metrics: mse: 0.874, avep: 0.938, top5: 0.942, frac_mc: 0.891, top1: 0.964, mae: 0.684, loss: 0.005

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Training Results - Epoch: 55 Metrics: mse: 1.025, avep: 0.939, top5: 0.940, frac_mc: 0.892, top1: 0.965, mae: 0.701, loss: 0.006

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Validation Results - Epoch: 55 Metrics: mse: 0.915, avep: 0.934, top5: 0.938, frac_mc: 0.888, top1: 0.956, mae: 0.695, loss: 0.005

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Training Results - Epoch: 56 Metrics: mse: 0.952, avep: 0.940, top5: 0.943, frac_mc: 0.893, top1: 0.964, mae: 0.681, loss: 0.006


ITERATION - loss: 0.01:   0%|          | 0/63 [12:14<00:07,  8.99it/s]
                                                                      

Validation Results - Epoch: 56 Metrics: mse: 0.880, avep: 0.938, top5: 0.943, frac_mc: 0.890, top1: 0.968, mae: 0.688, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [12:23<00:00,  8.77it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 0.949, avep: 0.940, top5: 0.941, frac_mc: 0.894, top1: 0.964, mae: 0.669, loss: 0.006

ITERATION - loss: 0.00:   0%|          | 0/63 [12:27<00:07,  8.77it/s]
                                                                      

Validation Results - Epoch: 57 Metrics: mse: 0.876, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.960, mae: 0.681, loss: 0.005

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Training Results - Epoch: 58 Metrics: mse: 0.964, avep: 0.941, top5: 0.942, frac_mc: 0.894, top1: 0.968, mae: 0.675, loss: 0.006

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Validation Results - Epoch: 58 Metrics: mse: 0.879, avep: 0.938, top5: 0.942, frac_mc: 0.890, top1: 0.960, mae: 0.686, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [12:49<00:00,  8.69it/s]
                                                                       

Training Results - Epoch: 59 Metrics: mse: 0.923, avep: 0.941, top5: 0.942, frac_mc: 0.895, top1: 0.965, mae: 0.668, loss: 0.005

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Validation Results - Epoch: 59 Metrics: mse: 0.856, avep: 0.939, top5: 0.944, frac_mc: 0.890, top1: 0.964, mae: 0.680, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [13:02<00:00,  8.66it/s]
                                                                       

Training Results - Epoch: 60 Metrics: mse: 0.940, avep: 0.940, top5: 0.942, frac_mc: 0.893, top1: 0.963, mae: 0.673, loss: 0.006

ITERATION - loss: 0.00:   0%|          | 0/63 [13:07<00:07,  8.66it/s]
                                                                      

Validation Results - Epoch: 60 Metrics: mse: 0.890, avep: 0.938, top5: 0.942, frac_mc: 0.891, top1: 0.964, mae: 0.693, loss: 0.005

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ITERATION - loss: 0.00:  89%|████████▉ | 56/63 [13:14<00:00,  8.91it/s]
ITERATION - loss: 0.00:  92%|█████████▏| 58/63 [13:15<00:00,  8.08it/s]
ITERATION - loss: 0.01:  95%|█████████▌| 60/63 [13:15<00:00,  8.36it/s]
ITERATION - loss: 0.00:  97%|█████████▋| 61/63 [13:15<00:00,  8.77it/s]
ITERATION - loss: 0.01:  98%|█████████▊| 62/63 [13:15<00:00,  9.10it/s]
ITERATION - loss: 0.00: 100%|██████████| 63/63 [13:15<00:00,  9.10it/s]
Training Results - Epoch: 61 Metrics: mse: 0.958, avep: 0.938, top5: 0.939, frac_mc: 0.892, top1: 0.962, mae: 0.673, loss: 0.006

                                                                       

ITERATION - loss: 0.00:   0%|          | 0/63 [13:20<00:06,  9.10it/s]
                                                                      

ITERATION - loss: 0.00:   0%|          | 0/63 [13:21<00:06,  9.10it/s]
Validation Results - Epoch: 61 Metrics: mse: 0.885, avep: 0.934, top5: 0.938, frac_mc: 0.888, top1: 0.950, mae: 0.682, loss: 0.005

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Training Results - Epoch: 62 Metrics: mse: 0.941, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.966, mae: 0.674, loss: 0.005

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Validation Results - Epoch: 62 Metrics: mse: 0.870, avep: 0.938, top5: 0.944, frac_mc: 0.891, top1: 0.958, mae: 0.683, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [13:41<00:00,  9.17it/s]
                                                                       

Training Results - Epoch: 63 Metrics: mse: 0.969, avep: 0.936, top5: 0.936, frac_mc: 0.891, top1: 0.959, mae: 0.686, loss: 0.006

ITERATION - loss: 0.00:   0%|          | 0/63 [13:46<00:06,  9.17it/s]
                                                                      

Validation Results - Epoch: 63 Metrics: mse: 0.880, avep: 0.932, top5: 0.936, frac_mc: 0.884, top1: 0.950, mae: 0.685, loss: 0.005

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ITERATION - loss: 0.01:   0%|          | 0/63 [13:59<00:07,  8.89it/s]
Training Results - Epoch: 64 Metrics: mse: 0.986, avep: 0.939, top5: 0.939, frac_mc: 0.894, top1: 0.962, mae: 0.683, loss: 0.006

                                                                      

Validation Results - Epoch: 64 Metrics: mse: 0.915, avep: 0.935, top5: 0.938, frac_mc: 0.889, top1: 0.956, mae: 0.693, loss: 0.005

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Training Results - Epoch: 65 Metrics: mse: 0.981, avep: 0.940, top5: 0.940, frac_mc: 0.893, top1: 0.967, mae: 0.688, loss: 0.006

ITERATION - loss: 0.00:   0%|          | 0/63 [14:12<00:06, 10.42it/s]
                                                                      

Validation Results - Epoch: 65 Metrics: mse: 0.914, avep: 0.937, top5: 0.939, frac_mc: 0.886, top1: 0.960, mae: 0.700, loss: 0.005

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Training Results - Epoch: 66 Metrics: mse: 0.895, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.966, mae: 0.655, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [14:26<00:06,  9.62it/s]
                                                                      

Validation Results - Epoch: 66 Metrics: mse: 0.852, avep: 0.937, top5: 0.943, frac_mc: 0.888, top1: 0.960, mae: 0.675, loss: 0.005

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Training Results - Epoch: 67 Metrics: mse: 0.897, avep: 0.940, top5: 0.941, frac_mc: 0.894, top1: 0.964, mae: 0.655, loss: 0.005

ITERATION - loss: 0.01:   0%|          | 0/63 [14:39<00:06, 10.11it/s]
                                                                      

Validation Results - Epoch: 67 Metrics: mse: 0.842, avep: 0.937, top5: 0.943, frac_mc: 0.889, top1: 0.952, mae: 0.671, loss: 0.005

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Training Results - Epoch: 68 Metrics: mse: 0.896, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.965, mae: 0.653, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [14:52<00:07,  8.64it/s]
                                                                      

Validation Results - Epoch: 68 Metrics: mse: 0.848, avep: 0.937, top5: 0.944, frac_mc: 0.890, top1: 0.954, mae: 0.671, loss: 0.005

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Training Results - Epoch: 69 Metrics: mse: 0.894, avep: 0.940, top5: 0.941, frac_mc: 0.894, top1: 0.964, mae: 0.653, loss: 0.005

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Validation Results - Epoch: 69 Metrics: mse: 0.845, avep: 0.937, top5: 0.943, frac_mc: 0.890, top1: 0.954, mae: 0.670, loss: 0.005

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Training Results - Epoch: 70 Metrics: mse: 0.895, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.965, mae: 0.654, loss: 0.005

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Validation Results - Epoch: 70 Metrics: mse: 0.845, avep: 0.938, top5: 0.944, frac_mc: 0.890, top1: 0.952, mae: 0.672, loss: 0.005

                                                                      

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Training Results - Epoch: 71 Metrics: mse: 0.892, avep: 0.940, top5: 0.939, frac_mc: 0.894, top1: 0.964, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 71 Metrics: mse: 0.841, avep: 0.936, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.667, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [15:40<00:00,  9.33it/s]
                                                                       

Training Results - Epoch: 72 Metrics: mse: 0.888, avep: 0.941, top5: 0.941, frac_mc: 0.894, top1: 0.966, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 72 Metrics: mse: 0.844, avep: 0.938, top5: 0.943, frac_mc: 0.890, top1: 0.958, mae: 0.671, loss: 0.005

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Training Results - Epoch: 73 Metrics: mse: 0.886, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.965, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 73 Metrics: mse: 0.843, avep: 0.937, top5: 0.943, frac_mc: 0.889, top1: 0.952, mae: 0.669, loss: 0.005

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Training Results - Epoch: 74 Metrics: mse: 0.889, avep: 0.940, top5: 0.940, frac_mc: 0.895, top1: 0.964, mae: 0.653, loss: 0.005

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Validation Results - Epoch: 74 Metrics: mse: 0.843, avep: 0.937, top5: 0.942, frac_mc: 0.891, top1: 0.958, mae: 0.671, loss: 0.005

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Training Results - Epoch: 75 Metrics: mse: 0.893, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.964, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 75 Metrics: mse: 0.841, avep: 0.936, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.667, loss: 0.005

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Training Results - Epoch: 76 Metrics: mse: 0.883, avep: 0.940, top5: 0.939, frac_mc: 0.894, top1: 0.965, mae: 0.649, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [16:37<00:06, 10.17it/s]
                                                                      

Validation Results - Epoch: 76 Metrics: mse: 0.840, avep: 0.937, top5: 0.943, frac_mc: 0.890, top1: 0.954, mae: 0.667, loss: 0.005

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Training Results - Epoch: 77 Metrics: mse: 0.880, avep: 0.941, top5: 0.941, frac_mc: 0.894, top1: 0.967, mae: 0.650, loss: 0.005

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Validation Results - Epoch: 77 Metrics: mse: 0.842, avep: 0.938, top5: 0.943, frac_mc: 0.889, top1: 0.958, mae: 0.670, loss: 0.005

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Training Results - Epoch: 78 Metrics: mse: 0.888, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.968, mae: 0.655, loss: 0.005

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Validation Results - Epoch: 78 Metrics: mse: 0.846, avep: 0.939, top5: 0.943, frac_mc: 0.891, top1: 0.964, mae: 0.675, loss: 0.005

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Training Results - Epoch: 79 Metrics: mse: 0.894, avep: 0.940, top5: 0.940, frac_mc: 0.895, top1: 0.965, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 79 Metrics: mse: 0.841, avep: 0.936, top5: 0.940, frac_mc: 0.889, top1: 0.950, mae: 0.667, loss: 0.005

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Training Results - Epoch: 80 Metrics: mse: 0.875, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.966, mae: 0.646, loss: 0.005

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Validation Results - Epoch: 80 Metrics: mse: 0.835, avep: 0.937, top5: 0.944, frac_mc: 0.890, top1: 0.954, mae: 0.665, loss: 0.005

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [17:38<00:00,  9.27it/s]
                                                                       

Training Results - Epoch: 81 Metrics: mse: 0.879, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.966, mae: 0.649, loss: 0.005

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Validation Results - Epoch: 81 Metrics: mse: 0.837, avep: 0.936, top5: 0.941, frac_mc: 0.890, top1: 0.950, mae: 0.667, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [17:51<00:00,  9.30it/s]
                                                                       

Training Results - Epoch: 82 Metrics: mse: 0.874, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.967, mae: 0.646, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [17:56<00:06,  9.30it/s]
                                                                      

Validation Results - Epoch: 82 Metrics: mse: 0.838, avep: 0.937, top5: 0.943, frac_mc: 0.891, top1: 0.954, mae: 0.666, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [18:04<00:00,  8.53it/s]
Training Results - Epoch: 83 Metrics: mse: 0.874, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.968, mae: 0.646, loss: 0.005

                                                                       

ITERATION - loss: 0.00:   0%|          | 0/63 [18:09<00:07,  8.53it/s]
                                                                      

Validation Results - Epoch: 83 Metrics: mse: 0.844, avep: 0.938, top5: 0.943, frac_mc: 0.890, top1: 0.958, mae: 0.670, loss: 0.005

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Training Results - Epoch: 84 Metrics: mse: 0.883, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.650, loss: 0.005

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Validation Results - Epoch: 84 Metrics: mse: 0.842, avep: 0.937, top5: 0.942, frac_mc: 0.892, top1: 0.954, mae: 0.670, loss: 0.005

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Training Results - Epoch: 85 Metrics: mse: 0.884, avep: 0.940, top5: 0.940, frac_mc: 0.895, top1: 0.966, mae: 0.647, loss: 0.005

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Validation Results - Epoch: 85 Metrics: mse: 0.841, avep: 0.937, top5: 0.940, frac_mc: 0.891, top1: 0.952, mae: 0.666, loss: 0.005

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Training Results - Epoch: 86 Metrics: mse: 0.877, avep: 0.940, top5: 0.940, frac_mc: 0.895, top1: 0.965, mae: 0.648, loss: 0.005

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Validation Results - Epoch: 86 Metrics: mse: 0.832, avep: 0.937, top5: 0.940, frac_mc: 0.890, top1: 0.952, mae: 0.664, loss: 0.005

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Training Results - Epoch: 87 Metrics: mse: 0.868, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.967, mae: 0.644, loss: 0.005

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Validation Results - Epoch: 87 Metrics: mse: 0.834, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.954, mae: 0.665, loss: 0.005

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Training Results - Epoch: 88 Metrics: mse: 0.878, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.966, mae: 0.648, loss: 0.005


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Validation Results - Epoch: 88 Metrics: mse: 0.833, avep: 0.936, top5: 0.940, frac_mc: 0.889, top1: 0.950, mae: 0.665, loss: 0.005

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Training Results - Epoch: 89 Metrics: mse: 0.885, avep: 0.941, top5: 0.942, frac_mc: 0.895, top1: 0.968, mae: 0.652, loss: 0.005

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Validation Results - Epoch: 89 Metrics: mse: 0.841, avep: 0.937, top5: 0.940, frac_mc: 0.890, top1: 0.952, mae: 0.669, loss: 0.005

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Training Results - Epoch: 90 Metrics: mse: 0.870, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.645, loss: 0.005

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Validation Results - Epoch: 90 Metrics: mse: 0.834, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.952, mae: 0.665, loss: 0.005

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Training Results - Epoch: 91 Metrics: mse: 0.866, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.645, loss: 0.005

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Validation Results - Epoch: 91 Metrics: mse: 0.832, avep: 0.937, top5: 0.942, frac_mc: 0.889, top1: 0.956, mae: 0.665, loss: 0.005

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Training Results - Epoch: 92 Metrics: mse: 0.873, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.965, mae: 0.645, loss: 0.005

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Validation Results - Epoch: 92 Metrics: mse: 0.837, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.664, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [20:16<00:00, 10.00it/s]
                                                                       

Training Results - Epoch: 93 Metrics: mse: 0.876, avep: 0.941, top5: 0.940, frac_mc: 0.895, top1: 0.967, mae: 0.645, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [20:21<00:06, 10.00it/s]
Validation Results - Epoch: 93 Metrics: mse: 0.838, avep: 0.937, top5: 0.940, frac_mc: 0.889, top1: 0.952, mae: 0.665, loss: 0.005

                                                                      

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [20:30<00:00,  9.12it/s]
                                                                       
Training Results - Epoch: 94 Metrics: mse: 0.870, avep: 0.940, top5: 0.940, frac_mc: 0.894, top1: 0.965, mae: 0.643, loss: 0.005

ITERATION - loss: 0.01:   0%|          | 0/63 [20:35<00:06,  9.12it/s]
                                                                      

Validation Results - Epoch: 94 Metrics: mse: 0.835, avep: 0.937, top5: 0.941, frac_mc: 0.889, top1: 0.954, mae: 0.663, loss: 0.005

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Training Results - Epoch: 95 Metrics: mse: 0.863, avep: 0.941, top5: 0.942, frac_mc: 0.896, top1: 0.968, mae: 0.642, loss: 0.005

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Validation Results - Epoch: 95 Metrics: mse: 0.834, avep: 0.938, top5: 0.942, frac_mc: 0.890, top1: 0.958, mae: 0.666, loss: 0.005

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ITERATION - loss: 0.00:  89%|████████▉ | 56/63 [20:56<00:00,  8.98it/s]
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ITERATION - loss: 0.01:  92%|█████████▏| 58/63 [20:56<00:00,  8.36it/s]
ITERATION - loss: 0.00:  95%|█████████▌| 60/63 [20:56<00:00,  8.55it/s]
ITERATION - loss: 0.00:  97%|█████████▋| 61/63 [20:56<00:00,  8.65it/s]
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ITERATION - loss: 0.04: 100%|██████████| 63/63 [20:56<00:00,  8.96it/s]
                                                                       

Training Results - Epoch: 96 Metrics: mse: 0.864, avep: 0.941, top5: 0.941, frac_mc: 0.896, top1: 0.967, mae: 0.642, loss: 0.005

ITERATION - loss: 0.04:   0%|          | 0/63 [21:01<00:07,  8.96it/s]
                                                                      

ITERATION - loss: 0.04:   0%|          | 0/63 [21:03<00:07,  8.96it/s]
Validation Results - Epoch: 96 Metrics: mse: 0.832, avep: 0.938, top5: 0.942, frac_mc: 0.890, top1: 0.954, mae: 0.664, loss: 0.005

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ITERATION - loss: 0.01:  92%|█████████▏| 58/63 [21:09<00:00,  8.72it/s]
ITERATION - loss: 0.00:  94%|█████████▎| 59/63 [21:09<00:00,  8.88it/s]
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ITERATION - loss: 0.00:  98%|█████████▊| 62/63 [21:09<00:00,  9.23it/s]
ITERATION - loss: 0.00: 100%|██████████| 63/63 [21:10<00:00,  9.23it/s]
                                                                       

Training Results - Epoch: 97 Metrics: mse: 0.863, avep: 0.941, top5: 0.942, frac_mc: 0.895, top1: 0.967, mae: 0.642, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [21:15<00:06,  9.23it/s]
                                                                      

Validation Results - Epoch: 97 Metrics: mse: 0.831, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 98 Metrics: mse: 0.864, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.642, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [21:28<00:06,  9.57it/s]
                                                                      

Validation Results - Epoch: 98 Metrics: mse: 0.830, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 99 Metrics: mse: 0.864, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 99 Metrics: mse: 0.831, avep: 0.937, top5: 0.942, frac_mc: 0.889, top1: 0.952, mae: 0.663, loss: 0.005

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [21:49<00:00,  9.35it/s]
                                                                       

Training Results - Epoch: 100 Metrics: mse: 0.865, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.642, loss: 0.005

ITERATION - loss: 0.01:   0%|          | 0/63 [21:54<00:06,  9.35it/s]
                                                                      

Validation Results - Epoch: 100 Metrics: mse: 0.832, avep: 0.937, top5: 0.942, frac_mc: 0.889, top1: 0.952, mae: 0.663, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [22:03<00:00,  7.30it/s]
                                                                       

Training Results - Epoch: 101 Metrics: mse: 0.862, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 101 Metrics: mse: 0.831, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 102 Metrics: mse: 0.865, avep: 0.941, top5: 0.942, frac_mc: 0.895, top1: 0.967, mae: 0.642, loss: 0.005

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Validation Results - Epoch: 102 Metrics: mse: 0.831, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 103 Metrics: mse: 0.863, avep: 0.941, top5: 0.942, frac_mc: 0.896, top1: 0.967, mae: 0.642, loss: 0.005

                                                                      

Validation Results - Epoch: 103 Metrics: mse: 0.831, avep: 0.937, top5: 0.942, frac_mc: 0.889, top1: 0.952, mae: 0.664, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [22:42<00:00,  8.55it/s]
                                                                       

Training Results - Epoch: 104 Metrics: mse: 0.862, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [22:47<00:07,  8.55it/s]
                                                                      

Validation Results - Epoch: 104 Metrics: mse: 0.829, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.952, mae: 0.662, loss: 0.005

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ITERATION - loss: 0.01: 100%|██████████| 63/63 [22:55<00:00,  8.37it/s]
Training Results - Epoch: 105 Metrics: mse: 0.863, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.642, loss: 0.005

                                                                       

ITERATION - loss: 0.01:   0%|          | 0/63 [23:00<00:07,  8.37it/s]
                                                                      

Validation Results - Epoch: 105 Metrics: mse: 0.831, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.952, mae: 0.664, loss: 0.005

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Training Results - Epoch: 106 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 106 Metrics: mse: 0.829, avep: 0.937, top5: 0.942, frac_mc: 0.890, top1: 0.952, mae: 0.662, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [23:22<00:00,  8.59it/s]
                                                                       

Training Results - Epoch: 107 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [23:27<00:07,  8.59it/s]
                                                                      

Validation Results - Epoch: 107 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.662, loss: 0.005
ITERATION - loss: 0.00:   0%|          | 0/63 [23:28<00:07,  8.59it/s]

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [23:35<00:00,  8.52it/s]
                                                                       

Training Results - Epoch: 108 Metrics: mse: 0.861, avep: 0.941, top5: 0.942, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [23:40<00:07,  8.52it/s]
Validation Results - Epoch: 108 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.954, mae: 0.663, loss: 0.005

                                                                      

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Training Results - Epoch: 109 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 109 Metrics: mse: 0.830, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 110 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005


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Validation Results - Epoch: 110 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [24:15<00:00,  7.93it/s]
                                                                       

Training Results - Epoch: 111 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [24:20<00:07,  7.93it/s]
                                                                      

Validation Results - Epoch: 111 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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ITERATION - loss: 0.00: 100%|██████████| 63/63 [24:29<00:00,  8.81it/s]
                                                                       

Training Results - Epoch: 112 Metrics: mse: 0.860, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [24:33<00:07,  8.81it/s]
                                                                      

Validation Results - Epoch: 112 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 113 Metrics: mse: 0.860, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 113 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.662, loss: 0.005

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Training Results - Epoch: 114 Metrics: mse: 0.861, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 114 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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Training Results - Epoch: 115 Metrics: mse: 0.860, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

                                                                       

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Validation Results - Epoch: 115 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.662, loss: 0.005

                                                                      

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Training Results - Epoch: 116 Metrics: mse: 0.860, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

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Validation Results - Epoch: 116 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

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ITERATION - loss: 0.01:  76%|███████▌  | 48/63 [25:33<00:01,  7.69it/s]
ITERATION - loss: 0.00:  78%|███████▊  | 49/63 [25:33<00:01,  8.08it/s]
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ITERATION - loss: 0.00:  83%|████████▎ | 52/63 [25:33<00:01,  7.61it/s]
ITERATION - loss: 0.01:  84%|████████▍ | 53/63 [25:34<00:01,  7.47it/s]
ITERATION - loss: 0.00:  86%|████████▌ | 54/63 [25:34<00:01,  6.62it/s]
ITERATION - loss: 0.00:  87%|████████▋ | 55/63 [25:34<00:01,  6.63it/s]
ITERATION - loss: 0.00:  89%|████████▉ | 56/63 [25:34<00:00,  7.06it/s]
ITERATION - loss: 0.00:  90%|█████████ | 57/63 [25:34<00:00,  6.67it/s]
ITERATION - loss: 0.00:  92%|█████████▏| 58/63 [25:34<00:00,  6.89it/s]
ITERATION - loss: 0.00:  94%|█████████▎| 59/63 [25:35<00:00,  6.23it/s]
ITERATION - loss: 0.01:  95%|█████████▌| 60/63 [25:35<00:00,  6.16it/s]
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ITERATION - loss: 0.00: 100%|██████████| 63/63 [25:35<00:00,  6.40it/s]
                                                                       

Training Results - Epoch: 117 Metrics: mse: 0.860, avep: 0.941, top5: 0.941, frac_mc: 0.895, top1: 0.967, mae: 0.641, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [25:40<00:09,  6.40it/s]
                                                                      

Validation Results - Epoch: 117 Metrics: mse: 0.829, avep: 0.937, top5: 0.941, frac_mc: 0.890, top1: 0.952, mae: 0.663, loss: 0.005

ITERATION - loss: 0.00:   0%|          | 0/63 [25:42<00:09,  6.40it/s]
                                                                      
mse: 0.829
avep: 0.937
top5: 0.941
frac_mc: 0.890
top1: 0.952
mae: 0.663
loss: 0.005
