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

Training Results - Epoch: 0 Metrics: mse: 79.115, avep: 0.550, top5: 0.299, frac_mc: 0.520, top1: 0.175, mae: 7.869, loss: 79.115

ITERATION - loss: 0.00:   0%|          | 0/63 [00:03<?, ?it/s]
Validation Results - Epoch: 0 Metrics: mse: 77.900, avep: 0.540, top5: 0.294, frac_mc: 0.505, top1: 0.126, mae: 7.839, loss: 77.900

                                                              

ITERATION - loss: 0.00:   0%|          | 0/63 [00:03<?, ?it/s]
ITERATION - loss: 81.04:   2%|▏         | 1/63 [00:03<04:02,  3.92s/it]
ITERATION - loss: 8.20:   6%|▋         | 4/63 [00:04<02:42,  2.76s/it] 
ITERATION - loss: 5.70:  11%|█         | 7/63 [00:04<01:48,  1.94s/it]
ITERATION - loss: 6.06:  16%|█▌        | 10/63 [00:04<01:12,  1.37s/it]
ITERATION - loss: 6.34:  21%|██        | 13/63 [00:04<00:48,  1.03it/s]
ITERATION - loss: 5.25:  25%|██▌       | 16/63 [00:04<00:32,  1.44it/s]
ITERATION - loss: 5.60:  30%|███       | 19/63 [00:04<00:21,  2.01it/s]
ITERATION - loss: 7.04:  35%|███▍      | 22/63 [00:04<00:14,  2.75it/s]
ITERATION - loss: 8.54:  40%|███▉      | 25/63 [00:04<00:10,  3.76it/s]
ITERATION - loss: 5.58:  44%|████▍     | 28/63 [00:05<00:06,  5.08it/s]
ITERATION - loss: 5.18:  49%|████▉     | 31/63 [00:05<00:04,  6.58it/s]
ITERATION - loss: 5.97:  54%|█████▍    | 34/63 [00:05<00:03,  8.28it/s]
ITERATION - loss: 5.03:  59%|█████▊    | 37/63 [00:05<00:02,  9.98it/s]
ITERATION - loss: 5.70:  63%|██████▎   | 40/63 [00:05<00:01, 12.18it/s]
ITERATION - loss: 6.43:  68%|██████▊   | 43/63 [00:05<00:01, 14.41it/s]
ITERATION - loss: 7.56:  73%|███████▎  | 46/63 [00:05<00:01, 16.00it/s]
ITERATION - loss: 6.06:  78%|███████▊  | 49/63 [00:06<00:00, 18.20it/s]
ITERATION - loss: 4.32:  83%|████████▎ | 52/63 [00:06<00:00, 19.24it/s]
ITERATION - loss: 5.30:  87%|████████▋ | 55/63 [00:06<00:00, 19.79it/s]
ITERATION - loss: 4.36:  92%|█████████▏| 58/63 [00:06<00:00, 20.78it/s]
ITERATION - loss: 5.56:  97%|█████████▋| 61/63 [00:06<00:00, 20.35it/s]
ITERATION - loss: 4.70: 100%|██████████| 63/63 [00:06<00:00, 20.35it/s]
Training Results - Epoch: 1 Metrics: mse: 5.229, avep: 0.938, top5: 0.944, frac_mc: 0.883, top1: 0.978, mae: 1.846, loss: 5.229

                                                                       

ITERATION - loss: 4.70:   0%|          | 0/63 [00:09<00:03, 20.35it/s]
                                                                      

Validation Results - Epoch: 1 Metrics: mse: 5.708, avep: 0.936, top5: 0.943, frac_mc: 0.878, top1: 0.980, mae: 1.926, loss: 5.708

ITERATION - loss: 4.70:   0%|          | 0/63 [00:10<00:03, 20.35it/s]
ITERATION - loss: 5.00:   5%|▍         | 3/63 [00:10<00:27,  2.20it/s]
ITERATION - loss: 6.20:  10%|▉         | 6/63 [00:10<00:19,  2.99it/s]
ITERATION - loss: 3.92:  13%|█▎        | 8/63 [00:11<00:13,  4.01it/s]
ITERATION - loss: 4.54:  17%|█▋        | 11/63 [00:11<00:09,  5.38it/s]
ITERATION - loss: 3.91:  22%|██▏       | 14/63 [00:11<00:06,  7.02it/s]
ITERATION - loss: 6.13:  27%|██▋       | 17/63 [00:11<00:05,  8.98it/s]
ITERATION - loss: 4.01:  32%|███▏      | 20/63 [00:11<00:03, 11.14it/s]
ITERATION - loss: 5.69:  37%|███▋      | 23/63 [00:11<00:03, 12.99it/s]
ITERATION - loss: 5.73:  41%|████▏     | 26/63 [00:11<00:02, 15.32it/s]
ITERATION - loss: 3.15:  46%|████▌     | 29/63 [00:11<00:02, 16.34it/s]
ITERATION - loss: 3.73:  51%|█████     | 32/63 [00:12<00:01, 18.63it/s]
ITERATION - loss: 2.58:  56%|█████▌    | 35/63 [00:12<00:01, 19.99it/s]
ITERATION - loss: 3.73:  60%|██████    | 38/63 [00:12<00:01, 19.70it/s]
ITERATION - loss: 3.33:  65%|██████▌   | 41/63 [00:12<00:01, 20.99it/s]
ITERATION - loss: 5.61:  70%|██████▉   | 44/63 [00:12<00:00, 20.85it/s]
ITERATION - loss: 3.28:  75%|███████▍  | 47/63 [00:12<00:00, 21.90it/s]
ITERATION - loss: 4.95:  79%|███████▉  | 50/63 [00:12<00:00, 22.69it/s]
ITERATION - loss: 6.17:  84%|████████▍ | 53/63 [00:12<00:00, 22.59it/s]
ITERATION - loss: 4.52:  89%|████████▉ | 56/63 [00:13<00:00, 22.96it/s]
ITERATION - loss: 3.50:  94%|█████████▎| 59/63 [00:13<00:00, 22.43it/s]
ITERATION - loss: 4.10:  98%|█████████▊| 62/63 [00:13<00:00, 23.38it/s]
ITERATION - loss: 2.81: 100%|██████████| 63/63 [00:13<00:00, 23.38it/s]
                                                                       

Training Results - Epoch: 2 Metrics: mse: 3.558, avep: 0.938, top5: 0.944, frac_mc: 0.882, top1: 0.979, mae: 1.453, loss: 3.558

ITERATION - loss: 2.81:   0%|          | 0/63 [00:16<00:02, 23.38it/s]
                                                                      

Validation Results - Epoch: 2 Metrics: mse: 3.908, avep: 0.936, top5: 0.943, frac_mc: 0.877, top1: 0.980, mae: 1.513, loss: 3.908

ITERATION - loss: 2.81:   0%|          | 0/63 [00:17<00:02, 23.38it/s]
ITERATION - loss: 3.73:   5%|▍         | 3/63 [00:17<00:26,  2.30it/s]
ITERATION - loss: 3.60:  10%|▉         | 6/63 [00:17<00:18,  3.13it/s]
ITERATION - loss: 4.22:  14%|█▍        | 9/63 [00:17<00:12,  4.27it/s]
ITERATION - loss: 4.18:  19%|█▉        | 12/63 [00:17<00:08,  5.70it/s]
ITERATION - loss: 2.73:  24%|██▍       | 15/63 [00:17<00:06,  7.21it/s]
ITERATION - loss: 1.86:  29%|██▊       | 18/63 [00:18<00:04,  9.20it/s]
ITERATION - loss: 2.44:  33%|███▎      | 21/63 [00:18<00:03, 11.40it/s]
ITERATION - loss: 4.15:  38%|███▊      | 24/63 [00:18<00:02, 13.22it/s]
ITERATION - loss: 3.76:  43%|████▎     | 27/63 [00:18<00:02, 15.48it/s]
ITERATION - loss: 1.80:  48%|████▊     | 30/63 [00:18<00:01, 17.70it/s]
ITERATION - loss: 2.70:  52%|█████▏    | 33/63 [00:18<00:01, 18.49it/s]
ITERATION - loss: 5.52:  57%|█████▋    | 36/63 [00:18<00:01, 20.03it/s]
ITERATION - loss: 3.57:  62%|██████▏   | 39/63 [00:18<00:01, 20.18it/s]
ITERATION - loss: 3.19:  67%|██████▋   | 42/63 [00:19<00:00, 21.19it/s]
ITERATION - loss: 5.94:  71%|███████▏  | 45/63 [00:19<00:00, 21.85it/s]
ITERATION - loss: 5.52:  76%|███████▌  | 48/63 [00:19<00:00, 21.36it/s]
ITERATION - loss: 5.68:  81%|████████  | 51/63 [00:19<00:00, 22.14it/s]
ITERATION - loss: 2.31:  86%|████████▌ | 54/63 [00:19<00:00, 21.71it/s]
ITERATION - loss: 4.83:  90%|█████████ | 57/63 [00:19<00:00, 22.59it/s]
ITERATION - loss: 1.91:  95%|█████████▌| 60/63 [00:19<00:00, 23.29it/s]
ITERATION - loss: 4.75: 100%|██████████| 63/63 [00:19<00:00, 23.09it/s]
ITERATION - loss: 4.75: 100%|██████████| 63/63 [00:19<00:00, 23.09it/s]
Training Results - Epoch: 3 Metrics: mse: 4.294, avep: 0.938, top5: 0.944, frac_mc: 0.883, top1: 0.978, mae: 1.460, loss: 4.294

                                                                       

ITERATION - loss: 4.75:   0%|          | 0/63 [00:23<00:02, 23.09it/s]
Validation Results - Epoch: 3 Metrics: mse: 4.489, avep: 0.936, top5: 0.944, frac_mc: 0.877, top1: 0.980, mae: 1.471, loss: 4.489

                                                                      

ITERATION - loss: 4.75:   0%|          | 0/63 [00:23<00:02, 23.09it/s]
ITERATION - loss: 1.95:   5%|▍         | 3/63 [00:24<00:26,  2.30it/s]
ITERATION - loss: 4.63:  10%|▉         | 6/63 [00:24<00:18,  3.15it/s]
ITERATION - loss: 2.55:  13%|█▎        | 8/63 [00:24<00:13,  4.22it/s]
ITERATION - loss: 3.56:  17%|█▋        | 11/63 [00:24<00:09,  5.60it/s]
ITERATION - loss: 3.45:  22%|██▏       | 14/63 [00:24<00:06,  7.30it/s]
ITERATION - loss: 2.86:  27%|██▋       | 17/63 [00:24<00:05,  9.02it/s]
ITERATION - loss: 4.37:  32%|███▏      | 20/63 [00:24<00:03, 11.04it/s]
ITERATION - loss: 2.43:  37%|███▋      | 23/63 [00:24<00:03, 12.89it/s]
ITERATION - loss: 4.47:  41%|████▏     | 26/63 [00:25<00:02, 15.36it/s]
ITERATION - loss: 3.65:  46%|████▌     | 29/63 [00:25<00:01, 17.31it/s]
ITERATION - loss: 4.54:  51%|█████     | 32/63 [00:25<00:01, 17.91it/s]
ITERATION - loss: 3.40:  56%|█████▌    | 35/63 [00:25<00:01, 19.03it/s]
ITERATION - loss: 3.63:  60%|██████    | 38/63 [00:25<00:01, 19.02it/s]
ITERATION - loss: 1.99:  65%|██████▌   | 41/63 [00:25<00:01, 20.30it/s]
ITERATION - loss: 2.35:  70%|██████▉   | 44/63 [00:25<00:00, 21.70it/s]
ITERATION - loss: 3.49:  75%|███████▍  | 47/63 [00:25<00:00, 21.51it/s]
ITERATION - loss: 4.05:  79%|███████▉  | 50/63 [00:26<00:00, 22.64it/s]
ITERATION - loss: 2.25:  84%|████████▍ | 53/63 [00:26<00:00, 22.15it/s]
ITERATION - loss: 3.89:  89%|████████▉ | 56/63 [00:26<00:00, 22.61it/s]
ITERATION - loss: 2.28:  94%|█████████▎| 59/63 [00:26<00:00, 21.74it/s]
ITERATION - loss: 3.23:  98%|█████████▊| 62/63 [00:26<00:00, 21.17it/s]
ITERATION - loss: 4.04: 100%|██████████| 63/63 [00:26<00:00, 21.17it/s]
                                                                       

Training Results - Epoch: 4 Metrics: mse: 4.447, avep: 0.938, top5: 0.944, frac_mc: 0.882, top1: 0.978, mae: 1.685, loss: 4.447

ITERATION - loss: 4.04:   0%|          | 0/63 [00:29<00:02, 21.17it/s]
                                                                      

Validation Results - Epoch: 4 Metrics: mse: 4.927, avep: 0.936, top5: 0.942, frac_mc: 0.876, top1: 0.982, mae: 1.777, loss: 4.927

ITERATION - loss: 4.04:   0%|          | 0/63 [00:30<00:02, 21.17it/s]
ITERATION - loss: 5.14:   5%|▍         | 3/63 [00:30<00:26,  2.28it/s]
ITERATION - loss: 5.99:  10%|▉         | 6/63 [00:30<00:18,  3.09it/s]
ITERATION - loss: 4.76:  14%|█▍        | 9/63 [00:31<00:12,  4.16it/s]
ITERATION - loss: 2.88:  19%|█▉        | 12/63 [00:31<00:09,  5.51it/s]
ITERATION - loss: 2.55:  22%|██▏       | 14/63 [00:31<00:06,  7.02it/s]
ITERATION - loss: 3.89:  27%|██▋       | 17/63 [00:31<00:05,  8.93it/s]
ITERATION - loss: 2.08:  32%|███▏      | 20/63 [00:31<00:03, 11.27it/s]
ITERATION - loss: 2.36:  37%|███▋      | 23/63 [00:31<00:03, 13.03it/s]
ITERATION - loss: 2.61:  41%|████▏     | 26/63 [00:31<00:02, 15.06it/s]
ITERATION - loss: 3.71:  46%|████▌     | 29/63 [00:31<00:02, 16.67it/s]
ITERATION - loss: 2.84:  51%|█████     | 32/63 [00:31<00:01, 18.71it/s]
ITERATION - loss: 2.86:  56%|█████▌    | 35/63 [00:32<00:01, 20.57it/s]
ITERATION - loss: 2.10:  60%|██████    | 38/63 [00:32<00:01, 20.78it/s]
ITERATION - loss: 3.69:  65%|██████▌   | 41/63 [00:32<00:00, 22.08it/s]
ITERATION - loss: 2.05:  70%|██████▉   | 44/63 [00:32<00:00, 22.83it/s]
ITERATION - loss: 2.02:  75%|███████▍  | 47/63 [00:32<00:00, 21.64it/s]
ITERATION - loss: 4.43:  79%|███████▉  | 50/63 [00:32<00:00, 22.83it/s]
ITERATION - loss: 2.73:  84%|████████▍ | 53/63 [00:32<00:00, 22.42it/s]
ITERATION - loss: 2.92:  89%|████████▉ | 56/63 [00:33<00:00, 22.87it/s]
ITERATION - loss: 2.38:  94%|█████████▎| 59/63 [00:33<00:00, 22.53it/s]
ITERATION - loss: 3.84:  98%|█████████▊| 62/63 [00:33<00:00, 20.36it/s]
ITERATION - loss: 2.24: 100%|██████████| 63/63 [00:33<00:00, 20.36it/s]
Training Results - Epoch: 5 Metrics: mse: 3.328, avep: 0.937, top5: 0.943, frac_mc: 0.880, top1: 0.980, mae: 1.451, loss: 3.328

                                                                       

ITERATION - loss: 2.24:   0%|          | 0/63 [00:36<00:03, 20.36it/s]
                                                                      

Validation Results - Epoch: 5 Metrics: mse: 3.729, avep: 0.934, top5: 0.941, frac_mc: 0.875, top1: 0.980, mae: 1.527, loss: 3.729

ITERATION - loss: 2.24:   0%|          | 0/63 [00:37<00:03, 20.36it/s]
ITERATION - loss: 3.76:   5%|▍         | 3/63 [00:37<00:27,  2.20it/s]
ITERATION - loss: 5.28:  10%|▉         | 6/63 [00:37<00:18,  3.02it/s]
ITERATION - loss: 3.15:  14%|█▍        | 9/63 [00:37<00:13,  4.10it/s]
ITERATION - loss: 2.64:  17%|█▋        | 11/63 [00:37<00:09,  5.37it/s]
ITERATION - loss: 2.67:  22%|██▏       | 14/63 [00:38<00:06,  7.05it/s]
ITERATION - loss: 3.42:  27%|██▋       | 17/63 [00:38<00:05,  8.94it/s]
ITERATION - loss: 2.10:  32%|███▏      | 20/63 [00:38<00:04, 10.69it/s]
ITERATION - loss: 3.77:  37%|███▋      | 23/63 [00:38<00:03, 12.61it/s]
ITERATION - loss: 2.56:  41%|████▏     | 26/63 [00:38<00:02, 14.22it/s]
ITERATION - loss: 3.41:  46%|████▌     | 29/63 [00:38<00:02, 16.08it/s]
ITERATION - loss: 2.67:  51%|█████     | 32/63 [00:38<00:01, 17.70it/s]
ITERATION - loss: 2.75:  56%|█████▌    | 35/63 [00:38<00:01, 18.08it/s]
ITERATION - loss: 3.04:  60%|██████    | 38/63 [00:39<00:01, 19.82it/s]
ITERATION - loss: 4.22:  65%|██████▌   | 41/63 [00:39<00:01, 19.77it/s]
ITERATION - loss: 2.86:  70%|██████▉   | 44/63 [00:39<00:00, 20.38it/s]
ITERATION - loss: 2.50:  75%|███████▍  | 47/63 [00:39<00:00, 21.07it/s]
ITERATION - loss: 2.62:  79%|███████▉  | 50/63 [00:39<00:00, 19.96it/s]
ITERATION - loss: 1.90:  84%|████████▍ | 53/63 [00:39<00:00, 21.08it/s]
ITERATION - loss: 3.19:  89%|████████▉ | 56/63 [00:39<00:00, 21.67it/s]
ITERATION - loss: 2.44:  94%|█████████▎| 59/63 [00:40<00:00, 22.37it/s]
ITERATION - loss: 3.30:  98%|█████████▊| 62/63 [00:40<00:00, 21.26it/s]
ITERATION - loss: 2.24: 100%|██████████| 63/63 [00:40<00:00, 21.26it/s]
Training Results - Epoch: 6 Metrics: mse: 2.699, avep: 0.937, top5: 0.943, frac_mc: 0.882, top1: 0.979, mae: 1.212, loss: 2.699

                                                                       

ITERATION - loss: 2.24:   0%|          | 0/63 [00:43<00:02, 21.26it/s]
Validation Results - Epoch: 6 Metrics: mse: 3.020, avep: 0.934, top5: 0.942, frac_mc: 0.875, top1: 0.976, mae: 1.259, loss: 3.020

                                                                      

ITERATION - loss: 2.24:   0%|          | 0/63 [00:44<00:02, 21.26it/s]
ITERATION - loss: 3.71:   5%|▍         | 3/63 [00:44<00:26,  2.30it/s]
ITERATION - loss: 3.51:  10%|▉         | 6/63 [00:44<00:18,  3.16it/s]
ITERATION - loss: 3.41:  14%|█▍        | 9/63 [00:44<00:12,  4.20it/s]
ITERATION - loss: 3.85:  19%|█▉        | 12/63 [00:44<00:09,  5.54it/s]
ITERATION - loss: 3.39:  24%|██▍       | 15/63 [00:44<00:06,  7.13it/s]
ITERATION - loss: 2.71:  29%|██▊       | 18/63 [00:44<00:05,  8.92it/s]
ITERATION - loss: 2.18:  33%|███▎      | 21/63 [00:45<00:03, 11.08it/s]
ITERATION - loss: 2.11:  38%|███▊      | 24/63 [00:45<00:03, 12.80it/s]
ITERATION - loss: 2.44:  43%|████▎     | 27/63 [00:45<00:02, 14.80it/s]
ITERATION - loss: 2.98:  48%|████▊     | 30/63 [00:45<00:01, 16.73it/s]
ITERATION - loss: 3.57:  52%|█████▏    | 33/63 [00:45<00:01, 17.95it/s]
ITERATION - loss: 2.20:  57%|█████▋    | 36/63 [00:45<00:01, 19.69it/s]
ITERATION - loss: 2.71:  62%|██████▏   | 39/63 [00:45<00:01, 20.77it/s]
ITERATION - loss: 2.45:  67%|██████▋   | 42/63 [00:46<00:01, 20.58it/s]
ITERATION - loss: 3.19:  71%|███████▏  | 45/63 [00:46<00:00, 20.64it/s]
ITERATION - loss: 5.72:  76%|███████▌  | 48/63 [00:46<00:00, 20.83it/s]
ITERATION - loss: 1.78:  81%|████████  | 51/63 [00:46<00:00, 20.40it/s]
ITERATION - loss: 2.59:  86%|████████▌ | 54/63 [00:46<00:00, 19.67it/s]
ITERATION - loss: 3.60:  90%|█████████ | 57/63 [00:46<00:00, 20.88it/s]
ITERATION - loss: 3.11:  95%|█████████▌| 60/63 [00:46<00:00, 21.33it/s]
ITERATION - loss: 1.81: 100%|██████████| 63/63 [00:46<00:00, 21.85it/s]
ITERATION - loss: 1.81: 100%|██████████| 63/63 [00:46<00:00, 21.85it/s]
Training Results - Epoch: 7 Metrics: mse: 2.716, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.978, mae: 1.147, loss: 2.716

                                                                       

ITERATION - loss: 1.81:   0%|          | 0/63 [00:50<00:02, 21.85it/s]
Validation Results - Epoch: 7 Metrics: mse: 3.019, avep: 0.934, top5: 0.940, frac_mc: 0.876, top1: 0.978, mae: 1.182, loss: 3.019

                                                                      

ITERATION - loss: 1.81:   0%|          | 0/63 [00:51<00:02, 21.85it/s]
ITERATION - loss: 4.13:   5%|▍         | 3/63 [00:51<00:26,  2.23it/s]
ITERATION - loss: 3.47:   8%|▊         | 5/63 [00:51<00:19,  3.02it/s]
ITERATION - loss: 3.12:  13%|█▎        | 8/63 [00:51<00:13,  4.08it/s]
ITERATION - loss: 2.35:  17%|█▋        | 11/63 [00:51<00:09,  5.41it/s]
ITERATION - loss: 2.88:  21%|██        | 13/63 [00:51<00:07,  6.85it/s]
ITERATION - loss: 3.33:  25%|██▌       | 16/63 [00:51<00:05,  8.63it/s]
ITERATION - loss: 2.76:  29%|██▊       | 18/63 [00:51<00:04, 10.34it/s]
ITERATION - loss: 2.61:  33%|███▎      | 21/63 [00:52<00:03, 12.59it/s]
ITERATION - loss: 2.80:  38%|███▊      | 24/63 [00:52<00:02, 14.54it/s]
ITERATION - loss: 2.92:  43%|████▎     | 27/63 [00:52<00:02, 16.00it/s]
ITERATION - loss: 5.57:  48%|████▊     | 30/63 [00:52<00:01, 17.61it/s]
ITERATION - loss: 2.86:  52%|█████▏    | 33/63 [00:52<00:01, 18.62it/s]
ITERATION - loss: 2.89:  57%|█████▋    | 36/63 [00:52<00:01, 20.45it/s]
ITERATION - loss: 2.83:  62%|██████▏   | 39/63 [00:52<00:01, 21.67it/s]
ITERATION - loss: 3.12:  67%|██████▋   | 42/63 [00:52<00:00, 21.83it/s]
ITERATION - loss: 2.66:  71%|███████▏  | 45/63 [00:53<00:00, 22.40it/s]
ITERATION - loss: 3.39:  76%|███████▌  | 48/63 [00:53<00:00, 23.75it/s]
ITERATION - loss: 4.68:  81%|████████  | 51/63 [00:53<00:00, 23.05it/s]
ITERATION - loss: 2.66:  86%|████████▌ | 54/63 [00:53<00:00, 23.17it/s]
ITERATION - loss: 3.93:  90%|█████████ | 57/63 [00:53<00:00, 21.93it/s]
ITERATION - loss: 2.82:  95%|█████████▌| 60/63 [00:53<00:00, 22.57it/s]
ITERATION - loss: 2.86: 100%|██████████| 63/63 [00:53<00:00, 23.73it/s]
ITERATION - loss: 2.86: 100%|██████████| 63/63 [00:53<00:00, 23.73it/s]
                                                                       

Training Results - Epoch: 8 Metrics: mse: 2.617, avep: 0.937, top5: 0.943, frac_mc: 0.882, top1: 0.978, mae: 1.144, loss: 2.617

ITERATION - loss: 2.86:   0%|          | 0/63 [00:57<00:02, 23.73it/s]
                                                                      

Validation Results - Epoch: 8 Metrics: mse: 2.933, avep: 0.934, top5: 0.941, frac_mc: 0.876, top1: 0.978, mae: 1.183, loss: 2.933

ITERATION - loss: 2.86:   0%|          | 0/63 [00:58<00:02, 23.73it/s]
ITERATION - loss: 2.80:   5%|▍         | 3/63 [00:58<00:27,  2.15it/s]
ITERATION - loss: 2.29:   8%|▊         | 5/63 [00:58<00:19,  2.93it/s]
ITERATION - loss: 3.53:  13%|█▎        | 8/63 [00:58<00:13,  3.98it/s]
ITERATION - loss: 2.33:  17%|█▋        | 11/63 [00:58<00:09,  5.36it/s]
ITERATION - loss: 2.44:  22%|██▏       | 14/63 [00:58<00:07,  6.85it/s]
ITERATION - loss: 1.30:  27%|██▋       | 17/63 [00:58<00:05,  8.69it/s]
ITERATION - loss: 2.95:  32%|███▏      | 20/63 [00:58<00:04, 10.64it/s]
ITERATION - loss: 3.51:  37%|███▋      | 23/63 [00:59<00:03, 12.75it/s]
ITERATION - loss: 2.83:  41%|████▏     | 26/63 [00:59<00:02, 14.99it/s]
ITERATION - loss: 3.93:  46%|████▌     | 29/63 [00:59<00:02, 15.75it/s]
ITERATION - loss: 2.26:  51%|█████     | 32/63 [00:59<00:01, 16.81it/s]
ITERATION - loss: 2.32:  56%|█████▌    | 35/63 [00:59<00:01, 17.87it/s]
ITERATION - loss: 3.20:  60%|██████    | 38/63 [00:59<00:01, 19.26it/s]
ITERATION - loss: 4.40:  65%|██████▌   | 41/63 [00:59<00:01, 20.69it/s]
ITERATION - loss: 4.00:  70%|██████▉   | 44/63 [01:00<00:00, 21.35it/s]
ITERATION - loss: 2.64:  75%|███████▍  | 47/63 [01:00<00:00, 22.54it/s]
ITERATION - loss: 2.28:  79%|███████▉  | 50/63 [01:00<00:00, 20.79it/s]
ITERATION - loss: 1.31:  84%|████████▍ | 53/63 [01:00<00:00, 21.92it/s]
ITERATION - loss: 1.96:  89%|████████▉ | 56/63 [01:00<00:00, 21.36it/s]
ITERATION - loss: 2.92:  94%|█████████▎| 59/63 [01:00<00:00, 20.89it/s]
ITERATION - loss: 3.15:  98%|█████████▊| 62/63 [01:00<00:00, 21.70it/s]
ITERATION - loss: 3.98: 100%|██████████| 63/63 [01:00<00:00, 21.70it/s]
                                                                       

Training Results - Epoch: 9 Metrics: mse: 2.312, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.977, mae: 1.134, loss: 2.312

ITERATION - loss: 3.98:   0%|          | 0/63 [01:04<00:02, 21.70it/s]
                                                                      

Validation Results - Epoch: 9 Metrics: mse: 2.691, avep: 0.934, top5: 0.941, frac_mc: 0.875, top1: 0.978, mae: 1.205, loss: 2.691

ITERATION - loss: 3.98:   0%|          | 0/63 [01:04<00:02, 21.70it/s]
ITERATION - loss: 3.39:   5%|▍         | 3/63 [01:04<00:26,  2.24it/s]
ITERATION - loss: 2.21:  10%|▉         | 6/63 [01:05<00:18,  3.09it/s]
ITERATION - loss: 2.47:  14%|█▍        | 9/63 [01:05<00:13,  4.12it/s]
ITERATION - loss: 3.56:  19%|█▉        | 12/63 [01:05<00:09,  5.48it/s]
ITERATION - loss: 1.64:  24%|██▍       | 15/63 [01:05<00:06,  7.14it/s]
ITERATION - loss: 1.80:  29%|██▊       | 18/63 [01:05<00:05,  8.90it/s]
ITERATION - loss: 2.08:  33%|███▎      | 21/63 [01:05<00:03, 10.60it/s]
ITERATION - loss: 1.98:  38%|███▊      | 24/63 [01:05<00:03, 12.08it/s]
ITERATION - loss: 1.01:  41%|████▏     | 26/63 [01:06<00:02, 13.69it/s]
ITERATION - loss: 2.31:  46%|████▌     | 29/63 [01:06<00:02, 15.72it/s]
ITERATION - loss: 1.89:  51%|█████     | 32/63 [01:06<00:01, 16.38it/s]
ITERATION - loss: 2.97:  56%|█████▌    | 35/63 [01:06<00:01, 17.80it/s]
ITERATION - loss: 2.22:  60%|██████    | 38/63 [01:06<00:01, 18.18it/s]
ITERATION - loss: 2.47:  65%|██████▌   | 41/63 [01:06<00:01, 19.87it/s]
ITERATION - loss: 1.91:  70%|██████▉   | 44/63 [01:06<00:00, 19.34it/s]
ITERATION - loss: 2.80:  75%|███████▍  | 47/63 [01:07<00:00, 20.07it/s]
ITERATION - loss: 1.93:  79%|███████▉  | 50/63 [01:07<00:00, 20.68it/s]
ITERATION - loss: 4.43:  84%|████████▍ | 53/63 [01:07<00:00, 19.79it/s]
ITERATION - loss: 2.25:  89%|████████▉ | 56/63 [01:07<00:00, 20.17it/s]
ITERATION - loss: 3.14:  94%|█████████▎| 59/63 [01:07<00:00, 19.00it/s]
ITERATION - loss: 2.32:  97%|█████████▋| 61/63 [01:07<00:00, 18.55it/s]
ITERATION - loss: 1.93: 100%|██████████| 63/63 [01:07<00:00, 18.55it/s]
                                                                       

Training Results - Epoch: 10 Metrics: mse: 2.361, avep: 0.936, top5: 0.943, frac_mc: 0.880, top1: 0.976, mae: 1.123, loss: 2.361

ITERATION - loss: 1.93:   0%|          | 0/63 [01:11<00:03, 18.55it/s]
                                                                      

Validation Results - Epoch: 10 Metrics: mse: 2.684, avep: 0.933, top5: 0.940, frac_mc: 0.874, top1: 0.978, mae: 1.180, loss: 2.684

ITERATION - loss: 1.93:   0%|          | 0/63 [01:11<00:03, 18.55it/s]
ITERATION - loss: 2.51:   3%|▎         | 2/63 [01:12<00:41,  1.48it/s]
ITERATION - loss: 3.45:   8%|▊         | 5/63 [01:12<00:28,  2.05it/s]
ITERATION - loss: 3.55:  11%|█         | 7/63 [01:12<00:20,  2.76it/s]
ITERATION - loss: 3.41:  16%|█▌        | 10/63 [01:12<00:14,  3.74it/s]
ITERATION - loss: 2.41:  21%|██        | 13/63 [01:12<00:10,  4.95it/s]
ITERATION - loss: 2.12:  25%|██▌       | 16/63 [01:12<00:07,  6.51it/s]
ITERATION - loss: 2.44:  30%|███       | 19/63 [01:12<00:05,  8.40it/s]
ITERATION - loss: 1.67:  35%|███▍      | 22/63 [01:13<00:04, 10.11it/s]
ITERATION - loss: 2.07:  40%|███▉      | 25/63 [01:13<00:03, 12.03it/s]
ITERATION - loss: 1.11:  44%|████▍     | 28/63 [01:13<00:02, 13.60it/s]
ITERATION - loss: 3.18:  49%|████▉     | 31/63 [01:13<00:02, 15.41it/s]
ITERATION - loss: 2.18:  54%|█████▍    | 34/63 [01:13<00:01, 17.39it/s]
ITERATION - loss: 3.73:  59%|█████▊    | 37/63 [01:13<00:01, 17.36it/s]
ITERATION - loss: 2.33:  63%|██████▎   | 40/63 [01:13<00:01, 18.14it/s]
ITERATION - loss: 1.14:  68%|██████▊   | 43/63 [01:14<00:01, 18.80it/s]
ITERATION - loss: 1.59:  73%|███████▎  | 46/63 [01:14<00:00, 19.87it/s]
ITERATION - loss: 4.33:  78%|███████▊  | 49/63 [01:14<00:00, 20.19it/s]
ITERATION - loss: 3.29:  83%|████████▎ | 52/63 [01:14<00:00, 20.99it/s]
ITERATION - loss: 2.71:  87%|████████▋ | 55/63 [01:14<00:00, 21.70it/s]
ITERATION - loss: 3.18:  92%|█████████▏| 58/63 [01:14<00:00, 21.02it/s]
ITERATION - loss: 3.17:  97%|█████████▋| 61/63 [01:14<00:00, 21.91it/s]
ITERATION - loss: 2.03: 100%|██████████| 63/63 [01:14<00:00, 21.91it/s]
                                                                       

Training Results - Epoch: 11 Metrics: mse: 2.231, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.977, mae: 1.090, loss: 2.231

ITERATION - loss: 2.03:   0%|          | 0/63 [01:18<00:02, 21.91it/s]
                                                                      

Validation Results - Epoch: 11 Metrics: mse: 2.657, avep: 0.933, top5: 0.939, frac_mc: 0.873, top1: 0.976, mae: 1.162, loss: 2.657

ITERATION - loss: 2.03:   0%|          | 0/63 [01:18<00:02, 21.91it/s]
ITERATION - loss: 2.87:   5%|▍         | 3/63 [01:19<00:27,  2.20it/s]
ITERATION - loss: 2.52:  10%|▉         | 6/63 [01:19<00:18,  3.01it/s]
ITERATION - loss: 1.62:  14%|█▍        | 9/63 [01:19<00:13,  4.05it/s]
ITERATION - loss: 1.87:  19%|█▉        | 12/63 [01:19<00:09,  5.35it/s]
ITERATION - loss: 3.53:  22%|██▏       | 14/63 [01:19<00:07,  6.76it/s]
ITERATION - loss: 3.14:  27%|██▋       | 17/63 [01:19<00:05,  8.49it/s]
ITERATION - loss: 3.44:  32%|███▏      | 20/63 [01:19<00:04, 10.12it/s]
ITERATION - loss: 2.76:  37%|███▋      | 23/63 [01:20<00:03, 12.29it/s]
ITERATION - loss: 3.63:  41%|████▏     | 26/63 [01:20<00:02, 14.20it/s]
ITERATION - loss: 1.53:  46%|████▌     | 29/63 [01:20<00:02, 15.76it/s]
ITERATION - loss: 1.67:  51%|█████     | 32/63 [01:20<00:01, 17.25it/s]
ITERATION - loss: 2.88:  56%|█████▌    | 35/63 [01:20<00:01, 17.84it/s]
ITERATION - loss: 1.64:  60%|██████    | 38/63 [01:20<00:01, 19.77it/s]
ITERATION - loss: 1.56:  65%|██████▌   | 41/63 [01:20<00:01, 21.03it/s]
ITERATION - loss: 3.87:  70%|██████▉   | 44/63 [01:20<00:00, 20.95it/s]
ITERATION - loss: 1.89:  75%|███████▍  | 47/63 [01:21<00:00, 21.73it/s]
ITERATION - loss: 1.45:  79%|███████▉  | 50/63 [01:21<00:00, 22.15it/s]
ITERATION - loss: 2.45:  84%|████████▍ | 53/63 [01:21<00:00, 21.72it/s]
ITERATION - loss: 2.02:  89%|████████▉ | 56/63 [01:21<00:00, 22.79it/s]
ITERATION - loss: 1.34:  94%|█████████▎| 59/63 [01:21<00:00, 22.25it/s]
ITERATION - loss: 2.41:  98%|█████████▊| 62/63 [01:21<00:00, 22.32it/s]
ITERATION - loss: 4.87: 100%|██████████| 63/63 [01:21<00:00, 22.32it/s]
                                                                       

Training Results - Epoch: 12 Metrics: mse: 4.271, avep: 0.936, top5: 0.942, frac_mc: 0.879, top1: 0.976, mae: 1.493, loss: 4.271

ITERATION - loss: 4.87:   0%|          | 0/63 [01:25<00:02, 22.32it/s]
                                                                      

Validation Results - Epoch: 12 Metrics: mse: 4.687, avep: 0.932, top5: 0.937, frac_mc: 0.873, top1: 0.976, mae: 1.571, loss: 4.687

ITERATION - loss: 4.87:   0%|          | 0/63 [01:25<00:02, 22.32it/s]
ITERATION - loss: 1.78:   5%|▍         | 3/63 [01:25<00:26,  2.22it/s]
ITERATION - loss: 2.05:  10%|▉         | 6/63 [01:26<00:18,  3.06it/s]
ITERATION - loss: 3.18:  14%|█▍        | 9/63 [01:26<00:13,  4.15it/s]
ITERATION - loss: 2.49:  19%|█▉        | 12/63 [01:26<00:09,  5.46it/s]
ITERATION - loss: 2.24:  24%|██▍       | 15/63 [01:26<00:06,  7.03it/s]
ITERATION - loss: 3.57:  29%|██▊       | 18/63 [01:26<00:05,  8.70it/s]
ITERATION - loss: 2.27:  33%|███▎      | 21/63 [01:26<00:03, 10.62it/s]
ITERATION - loss: 2.79:  38%|███▊      | 24/63 [01:26<00:03, 12.72it/s]
ITERATION - loss: 1.69:  43%|████▎     | 27/63 [01:27<00:02, 14.32it/s]
ITERATION - loss: 2.69:  48%|████▊     | 30/63 [01:27<00:01, 16.53it/s]
ITERATION - loss: 2.65:  52%|█████▏    | 33/63 [01:27<00:01, 17.50it/s]
ITERATION - loss: 2.32:  57%|█████▋    | 36/63 [01:27<00:01, 18.70it/s]
ITERATION - loss: 1.56:  62%|██████▏   | 39/63 [01:27<00:01, 20.33it/s]
ITERATION - loss: 1.78:  67%|██████▋   | 42/63 [01:27<00:01, 20.19it/s]
ITERATION - loss: 2.68:  71%|███████▏  | 45/63 [01:27<00:00, 21.13it/s]
ITERATION - loss: 2.07:  76%|███████▌  | 48/63 [01:27<00:00, 21.53it/s]
ITERATION - loss: 1.63:  81%|████████  | 51/63 [01:28<00:00, 20.96it/s]
ITERATION - loss: 2.75:  86%|████████▌ | 54/63 [01:28<00:00, 19.24it/s]
ITERATION - loss: 2.71:  90%|█████████ | 57/63 [01:28<00:00, 20.24it/s]
ITERATION - loss: 1.84:  95%|█████████▌| 60/63 [01:28<00:00, 20.47it/s]
ITERATION - loss: 1.63: 100%|██████████| 63/63 [01:28<00:00, 20.47it/s]
                                                                       

Training Results - Epoch: 13 Metrics: mse: 2.236, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.977, mae: 1.056, loss: 2.236

ITERATION - loss: 1.63:   0%|          | 0/63 [01:31<00:03, 20.47it/s]
                                                                      

Validation Results - Epoch: 13 Metrics: mse: 2.507, avep: 0.933, top5: 0.939, frac_mc: 0.873, top1: 0.980, mae: 1.095, loss: 2.507

ITERATION - loss: 1.63:   0%|          | 0/63 [01:32<00:03, 20.47it/s]
ITERATION - loss: 2.65:   5%|▍         | 3/63 [01:32<00:27,  2.16it/s]
ITERATION - loss: 1.46:  10%|▉         | 6/63 [01:33<00:19,  2.96it/s]
ITERATION - loss: 2.56:  14%|█▍        | 9/63 [01:33<00:13,  4.05it/s]
ITERATION - loss: 3.45:  19%|█▉        | 12/63 [01:33<00:09,  5.32it/s]
ITERATION - loss: 3.61:  24%|██▍       | 15/63 [01:33<00:06,  7.01it/s]
ITERATION - loss: 1.74:  29%|██▊       | 18/63 [01:33<00:05,  8.85it/s]
ITERATION - loss: 1.55:  33%|███▎      | 21/63 [01:33<00:03, 10.86it/s]
ITERATION - loss: 2.97:  38%|███▊      | 24/63 [01:33<00:02, 13.01it/s]
ITERATION - loss: 2.37:  43%|████▎     | 27/63 [01:33<00:02, 15.25it/s]
ITERATION - loss: 2.32:  48%|████▊     | 30/63 [01:34<00:01, 16.51it/s]
ITERATION - loss: 2.51:  52%|█████▏    | 33/63 [01:34<00:01, 17.97it/s]
ITERATION - loss: 1.75:  57%|█████▋    | 36/63 [01:34<00:01, 18.68it/s]
ITERATION - loss: 1.28:  62%|██████▏   | 39/63 [01:34<00:01, 19.71it/s]
ITERATION - loss: 2.44:  67%|██████▋   | 42/63 [01:34<00:01, 20.32it/s]
ITERATION - loss: 1.01:  71%|███████▏  | 45/63 [01:34<00:00, 21.48it/s]
ITERATION - loss: 3.38:  76%|███████▌  | 48/63 [01:34<00:00, 21.92it/s]
ITERATION - loss: 2.17:  81%|████████  | 51/63 [01:34<00:00, 21.96it/s]
ITERATION - loss: 3.20:  86%|████████▌ | 54/63 [01:35<00:00, 22.25it/s]
ITERATION - loss: 1.94:  90%|█████████ | 57/63 [01:35<00:00, 22.45it/s]
ITERATION - loss: 2.26:  95%|█████████▌| 60/63 [01:35<00:00, 21.41it/s]
ITERATION - loss: 1.34: 100%|██████████| 63/63 [01:35<00:00, 22.73it/s]
ITERATION - loss: 1.34: 100%|██████████| 63/63 [01:35<00:00, 22.73it/s]
                                                                       

Training Results - Epoch: 14 Metrics: mse: 2.531, avep: 0.936, top5: 0.941, frac_mc: 0.881, top1: 0.975, mae: 1.130, loss: 2.531

ITERATION - loss: 1.34:   0%|          | 0/63 [01:38<00:02, 22.73it/s]
                                                                      

Validation Results - Epoch: 14 Metrics: mse: 2.962, avep: 0.933, top5: 0.938, frac_mc: 0.874, top1: 0.980, mae: 1.198, loss: 2.962

ITERATION - loss: 1.34:   0%|          | 0/63 [01:39<00:02, 22.73it/s]
ITERATION - loss: 3.13:   5%|▍         | 3/63 [01:39<00:26,  2.24it/s]
ITERATION - loss: 1.64:  10%|▉         | 6/63 [01:39<00:18,  3.07it/s]
ITERATION - loss: 1.85:  14%|█▍        | 9/63 [01:39<00:12,  4.16it/s]
ITERATION - loss: 1.68:  17%|█▋        | 11/63 [01:40<00:09,  5.44it/s]
ITERATION - loss: 2.82:  21%|██        | 13/63 [01:40<00:07,  6.92it/s]
ITERATION - loss: 1.75:  25%|██▌       | 16/63 [01:40<00:05,  8.69it/s]
ITERATION - loss: 1.95:  30%|███       | 19/63 [01:40<00:04, 10.42it/s]
ITERATION - loss: 2.73:  33%|███▎      | 21/63 [01:40<00:03, 12.10it/s]
ITERATION - loss: 2.88:  38%|███▊      | 24/63 [01:40<00:02, 13.63it/s]
ITERATION - loss: 4.22:  43%|████▎     | 27/63 [01:40<00:02, 15.44it/s]
ITERATION - loss: 4.46:  48%|████▊     | 30/63 [01:40<00:01, 17.11it/s]
ITERATION - loss: 2.22:  52%|█████▏    | 33/63 [01:41<00:01, 16.65it/s]
ITERATION - loss: 2.79:  57%|█████▋    | 36/63 [01:41<00:01, 17.80it/s]
ITERATION - loss: 3.27:  62%|██████▏   | 39/63 [01:41<00:01, 18.71it/s]
ITERATION - loss: 2.58:  67%|██████▋   | 42/63 [01:41<00:01, 20.03it/s]
ITERATION - loss: 1.80:  71%|███████▏  | 45/63 [01:41<00:00, 19.73it/s]
ITERATION - loss: 1.51:  76%|███████▌  | 48/63 [01:41<00:00, 20.53it/s]
ITERATION - loss: 1.22:  81%|████████  | 51/63 [01:41<00:00, 21.36it/s]
ITERATION - loss: 1.37:  86%|████████▌ | 54/63 [01:42<00:00, 22.26it/s]
ITERATION - loss: 1.25:  90%|█████████ | 57/63 [01:42<00:00, 23.48it/s]
ITERATION - loss: 2.05:  95%|█████████▌| 60/63 [01:42<00:00, 21.82it/s]
ITERATION - loss: 3.53: 100%|██████████| 63/63 [01:42<00:00, 22.51it/s]
ITERATION - loss: 3.53: 100%|██████████| 63/63 [01:42<00:00, 22.51it/s]
Training Results - Epoch: 15 Metrics: mse: 2.290, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.976, mae: 1.060, loss: 2.290

                                                                       

ITERATION - loss: 3.53:   0%|          | 0/63 [01:45<00:02, 22.51it/s]
                                                                      
Validation Results - Epoch: 15 Metrics: mse: 2.706, avep: 0.932, top5: 0.937, frac_mc: 0.872, top1: 0.976, mae: 1.130, loss: 2.706


ITERATION - loss: 3.53:   0%|          | 0/63 [01:46<00:02, 22.51it/s]
ITERATION - loss: 3.43:   5%|▍         | 3/63 [01:46<00:26,  2.24it/s]
ITERATION - loss: 1.63:  10%|▉         | 6/63 [01:46<00:18,  3.05it/s]
ITERATION - loss: 1.86:  14%|█▍        | 9/63 [01:46<00:13,  4.11it/s]
ITERATION - loss: 4.64:  19%|█▉        | 12/63 [01:47<00:09,  5.43it/s]
ITERATION - loss: 1.48:  24%|██▍       | 15/63 [01:47<00:06,  7.04it/s]
ITERATION - loss: 1.36:  29%|██▊       | 18/63 [01:47<00:05,  8.82it/s]
ITERATION - loss: 2.82:  33%|███▎      | 21/63 [01:47<00:03, 10.86it/s]
ITERATION - loss: 1.24:  38%|███▊      | 24/63 [01:47<00:02, 13.02it/s]
ITERATION - loss: 1.93:  43%|████▎     | 27/63 [01:47<00:02, 14.20it/s]
ITERATION - loss: 2.16:  48%|████▊     | 30/63 [01:47<00:02, 15.13it/s]
ITERATION - loss: 1.91:  52%|█████▏    | 33/63 [01:48<00:01, 16.13it/s]
ITERATION - loss: 3.51:  57%|█████▋    | 36/63 [01:48<00:01, 17.20it/s]
ITERATION - loss: 3.58:  60%|██████    | 38/63 [01:48<00:01, 17.62it/s]
ITERATION - loss: 1.83:  65%|██████▌   | 41/63 [01:48<00:01, 18.56it/s]
ITERATION - loss: 3.96:  70%|██████▉   | 44/63 [01:48<00:00, 19.25it/s]
ITERATION - loss: 1.94:  75%|███████▍  | 47/63 [01:48<00:00, 19.27it/s]
ITERATION - loss: 2.46:  79%|███████▉  | 50/63 [01:48<00:00, 20.28it/s]
ITERATION - loss: 2.98:  84%|████████▍ | 53/63 [01:49<00:00, 20.03it/s]
ITERATION - loss: 2.02:  89%|████████▉ | 56/63 [01:49<00:00, 21.24it/s]
ITERATION - loss: 1.48:  94%|█████████▎| 59/63 [01:49<00:00, 21.05it/s]
ITERATION - loss: 1.54:  98%|█████████▊| 62/63 [01:49<00:00, 22.42it/s]
ITERATION - loss: 2.24: 100%|██████████| 63/63 [01:49<00:00, 22.42it/s]
                                                                       

Training Results - Epoch: 16 Metrics: mse: 2.262, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.976, mae: 1.039, loss: 2.262

ITERATION - loss: 2.24:   0%|          | 0/63 [01:52<00:02, 22.42it/s]
                                                                      

Validation Results - Epoch: 16 Metrics: mse: 2.706, avep: 0.933, top5: 0.939, frac_mc: 0.873, top1: 0.976, mae: 1.106, loss: 2.706

ITERATION - loss: 2.24:   0%|          | 0/63 [01:53<00:02, 22.42it/s]
ITERATION - loss: 1.57:   5%|▍         | 3/63 [01:53<00:27,  2.22it/s]
ITERATION - loss: 1.25:   8%|▊         | 5/63 [01:53<00:19,  3.02it/s]
ITERATION - loss: 2.76:  13%|█▎        | 8/63 [01:53<00:13,  4.03it/s]
ITERATION - loss: 3.10:  16%|█▌        | 10/63 [01:54<00:10,  5.13it/s]
ITERATION - loss: 2.17:  21%|██        | 13/63 [01:54<00:07,  6.71it/s]
ITERATION - loss: 3.15:  25%|██▌       | 16/63 [01:54<00:05,  8.54it/s]
ITERATION - loss: 0.87:  30%|███       | 19/63 [01:54<00:04, 10.29it/s]
ITERATION - loss: 2.72:  35%|███▍      | 22/63 [01:54<00:03, 12.25it/s]
ITERATION - loss: 3.36:  40%|███▉      | 25/63 [01:54<00:02, 13.71it/s]
ITERATION - loss: 1.75:  44%|████▍     | 28/63 [01:54<00:02, 15.24it/s]
ITERATION - loss: 2.86:  49%|████▉     | 31/63 [01:55<00:01, 16.36it/s]
ITERATION - loss: 3.19:  54%|█████▍    | 34/63 [01:55<00:01, 17.97it/s]
ITERATION - loss: 0.92:  59%|█████▊    | 37/63 [01:55<00:01, 18.35it/s]
ITERATION - loss: 1.75:  63%|██████▎   | 40/63 [01:55<00:01, 19.64it/s]
ITERATION - loss: 3.10:  68%|██████▊   | 43/63 [01:55<00:00, 20.33it/s]
ITERATION - loss: 1.67:  73%|███████▎  | 46/63 [01:55<00:00, 20.09it/s]
ITERATION - loss: 2.34:  78%|███████▊  | 49/63 [01:55<00:00, 21.32it/s]
ITERATION - loss: 1.38:  83%|████████▎ | 52/63 [01:55<00:00, 21.19it/s]
ITERATION - loss: 3.09:  87%|████████▋ | 55/63 [01:56<00:00, 21.51it/s]
ITERATION - loss: 1.88:  92%|█████████▏| 58/63 [01:56<00:00, 22.41it/s]
ITERATION - loss: 3.46:  97%|█████████▋| 61/63 [01:56<00:00, 21.01it/s]
ITERATION - loss: 1.53: 100%|██████████| 63/63 [01:56<00:00, 21.01it/s]
                                                                       

Training Results - Epoch: 17 Metrics: mse: 2.190, avep: 0.936, top5: 0.943, frac_mc: 0.880, top1: 0.975, mae: 1.015, loss: 2.190

ITERATION - loss: 1.53:   0%|          | 0/63 [01:59<00:02, 21.01it/s]
                                                                      

Validation Results - Epoch: 17 Metrics: mse: 2.413, avep: 0.932, top5: 0.938, frac_mc: 0.872, top1: 0.980, mae: 1.044, loss: 2.413

ITERATION - loss: 1.53:   0%|          | 0/63 [02:00<00:02, 21.01it/s]
ITERATION - loss: 1.58:   5%|▍         | 3/63 [02:00<00:27,  2.17it/s]
ITERATION - loss: 2.56:  10%|▉         | 6/63 [02:00<00:19,  2.97it/s]
ITERATION - loss: 1.52:  13%|█▎        | 8/63 [02:00<00:13,  3.95it/s]
ITERATION - loss: 2.78:  16%|█▌        | 10/63 [02:01<00:10,  5.21it/s]
ITERATION - loss: 2.21:  21%|██        | 13/63 [02:01<00:07,  6.72it/s]
ITERATION - loss: 2.13:  24%|██▍       | 15/63 [02:01<00:05,  8.34it/s]
ITERATION - loss: 2.87:  29%|██▊       | 18/63 [02:01<00:04, 10.29it/s]
ITERATION - loss: 3.39:  33%|███▎      | 21/63 [02:01<00:03, 12.42it/s]
ITERATION - loss: 2.57:  38%|███▊      | 24/63 [02:01<00:02, 14.16it/s]
ITERATION - loss: 1.59:  43%|████▎     | 27/63 [02:01<00:02, 16.25it/s]
ITERATION - loss: 1.90:  48%|████▊     | 30/63 [02:01<00:01, 17.68it/s]
ITERATION - loss: 1.66:  52%|█████▏    | 33/63 [02:02<00:01, 18.91it/s]
ITERATION - loss: 2.08:  57%|█████▋    | 36/63 [02:02<00:01, 20.73it/s]
ITERATION - loss: 2.53:  62%|██████▏   | 39/63 [02:02<00:01, 20.91it/s]
ITERATION - loss: 2.97:  67%|██████▋   | 42/63 [02:02<00:00, 21.40it/s]
ITERATION - loss: 1.64:  71%|███████▏  | 45/63 [02:02<00:00, 20.60it/s]
ITERATION - loss: 1.88:  76%|███████▌  | 48/63 [02:02<00:00, 21.65it/s]
ITERATION - loss: 3.34:  81%|████████  | 51/63 [02:02<00:00, 22.91it/s]
ITERATION - loss: 2.39:  86%|████████▌ | 54/63 [02:02<00:00, 22.78it/s]
ITERATION - loss: 1.42:  90%|█████████ | 57/63 [02:03<00:00, 23.51it/s]
ITERATION - loss: 2.52:  95%|█████████▌| 60/63 [02:03<00:00, 23.23it/s]
ITERATION - loss: 1.70: 100%|██████████| 63/63 [02:03<00:00, 22.25it/s]
ITERATION - loss: 1.70: 100%|██████████| 63/63 [02:03<00:00, 22.25it/s]
                                                                       

Training Results - Epoch: 18 Metrics: mse: 2.333, avep: 0.935, top5: 0.942, frac_mc: 0.880, top1: 0.974, mae: 1.094, loss: 2.333

ITERATION - loss: 1.70:   0%|          | 0/63 [02:06<00:02, 22.25it/s]
                                                                      

Validation Results - Epoch: 18 Metrics: mse: 2.726, avep: 0.931, top5: 0.938, frac_mc: 0.871, top1: 0.974, mae: 1.155, loss: 2.726

ITERATION - loss: 1.70:   0%|          | 0/63 [02:07<00:02, 22.25it/s]
ITERATION - loss: 2.23:   5%|▍         | 3/63 [02:07<00:26,  2.25it/s]
ITERATION - loss: 1.83:   8%|▊         | 5/63 [02:07<00:19,  3.03it/s]
ITERATION - loss: 1.33:  13%|█▎        | 8/63 [02:07<00:13,  4.09it/s]
ITERATION - loss: 2.93:  17%|█▋        | 11/63 [02:07<00:09,  5.45it/s]
ITERATION - loss: 2.05:  22%|██▏       | 14/63 [02:08<00:06,  7.01it/s]
ITERATION - loss: 2.84:  27%|██▋       | 17/63 [02:08<00:05,  8.85it/s]
ITERATION - loss: 2.55:  32%|███▏      | 20/63 [02:08<00:04, 10.63it/s]
ITERATION - loss: 3.11:  37%|███▋      | 23/63 [02:08<00:03, 12.87it/s]
ITERATION - loss: 1.62:  41%|████▏     | 26/63 [02:08<00:02, 14.77it/s]
ITERATION - loss: 2.61:  46%|████▌     | 29/63 [02:08<00:02, 16.57it/s]
ITERATION - loss: 2.33:  51%|█████     | 32/63 [02:08<00:01, 18.59it/s]
ITERATION - loss: 3.42:  56%|█████▌    | 35/63 [02:08<00:01, 19.18it/s]
ITERATION - loss: 1.38:  60%|██████    | 38/63 [02:09<00:01, 20.68it/s]
ITERATION - loss: 1.09:  65%|██████▌   | 41/63 [02:09<00:01, 21.23it/s]
ITERATION - loss: 2.39:  70%|██████▉   | 44/63 [02:09<00:00, 20.95it/s]
ITERATION - loss: 2.34:  75%|███████▍  | 47/63 [02:09<00:00, 21.61it/s]
ITERATION - loss: 2.60:  79%|███████▉  | 50/63 [02:09<00:00, 21.17it/s]
ITERATION - loss: 1.46:  84%|████████▍ | 53/63 [02:09<00:00, 20.80it/s]
ITERATION - loss: 3.07:  89%|████████▉ | 56/63 [02:09<00:00, 19.89it/s]
ITERATION - loss: 1.93:  94%|█████████▎| 59/63 [02:10<00:00, 20.15it/s]
ITERATION - loss: 1.13:  98%|█████████▊| 62/63 [02:10<00:00, 19.69it/s]
ITERATION - loss: 2.16: 100%|██████████| 63/63 [02:10<00:00, 19.69it/s]
                                                                       

Training Results - Epoch: 19 Metrics: mse: 2.257, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.975, mae: 1.007, loss: 2.257

ITERATION - loss: 2.16:   0%|          | 0/63 [02:13<00:03, 19.69it/s]
                                                                      

Validation Results - Epoch: 19 Metrics: mse: 2.572, avep: 0.933, top5: 0.939, frac_mc: 0.875, top1: 0.976, mae: 1.044, loss: 2.572

ITERATION - loss: 2.16:   0%|          | 0/63 [02:14<00:03, 19.69it/s]
ITERATION - loss: 3.46:   3%|▎         | 2/63 [02:14<00:39,  1.53it/s]
ITERATION - loss: 2.59:   8%|▊         | 5/63 [02:14<00:27,  2.13it/s]
ITERATION - loss: 3.10:  13%|█▎        | 8/63 [02:14<00:18,  2.90it/s]
ITERATION - loss: 1.11:  17%|█▋        | 11/63 [02:14<00:13,  3.92it/s]
ITERATION - loss: 1.96:  22%|██▏       | 14/63 [02:14<00:09,  5.23it/s]
ITERATION - loss: 2.95:  27%|██▋       | 17/63 [02:15<00:06,  6.74it/s]
ITERATION - loss: 2.41:  32%|███▏      | 20/63 [02:15<00:04,  8.63it/s]
ITERATION - loss: 4.33:  37%|███▋      | 23/63 [02:15<00:03, 10.32it/s]
ITERATION - loss: 2.15:  41%|████▏     | 26/63 [02:15<00:03, 12.21it/s]
ITERATION - loss: 1.46:  46%|████▌     | 29/63 [02:15<00:02, 14.32it/s]
ITERATION - loss: 2.96:  51%|█████     | 32/63 [02:15<00:02, 15.17it/s]
ITERATION - loss: 2.19:  56%|█████▌    | 35/63 [02:15<00:01, 16.38it/s]
ITERATION - loss: 1.65:  60%|██████    | 38/63 [02:16<00:01, 17.50it/s]
ITERATION - loss: 1.86:  65%|██████▌   | 41/63 [02:16<00:01, 18.82it/s]
ITERATION - loss: 2.49:  70%|██████▉   | 44/63 [02:16<00:00, 19.03it/s]
ITERATION - loss: 3.31:  75%|███████▍  | 47/63 [02:16<00:00, 20.33it/s]
ITERATION - loss: 1.60:  79%|███████▉  | 50/63 [02:16<00:00, 21.32it/s]
ITERATION - loss: 1.87:  84%|████████▍ | 53/63 [02:16<00:00, 21.06it/s]
ITERATION - loss: 1.82:  89%|████████▉ | 56/63 [02:16<00:00, 20.46it/s]
ITERATION - loss: 1.40:  94%|█████████▎| 59/63 [02:17<00:00, 20.20it/s]
ITERATION - loss: 1.15:  98%|█████████▊| 62/63 [02:17<00:00, 21.62it/s]
ITERATION - loss: 2.48: 100%|██████████| 63/63 [02:17<00:00, 21.62it/s]
                                                                       

Training Results - Epoch: 20 Metrics: mse: 2.214, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.976, mae: 1.005, loss: 2.214

ITERATION - loss: 2.48:   0%|          | 0/63 [02:20<00:02, 21.62it/s]
                                                                      

Validation Results - Epoch: 20 Metrics: mse: 2.389, avep: 0.932, top5: 0.938, frac_mc: 0.874, top1: 0.974, mae: 1.021, loss: 2.389

ITERATION - loss: 2.48:   0%|          | 0/63 [02:21<00:02, 21.62it/s]
ITERATION - loss: 2.01:   5%|▍         | 3/63 [02:21<00:27,  2.19it/s]
ITERATION - loss: 1.82:  10%|▉         | 6/63 [02:21<00:18,  3.01it/s]
ITERATION - loss: 1.15:  14%|█▍        | 9/63 [02:21<00:13,  4.07it/s]
ITERATION - loss: 2.33:  19%|█▉        | 12/63 [02:21<00:09,  5.43it/s]
ITERATION - loss: 2.06:  24%|██▍       | 15/63 [02:21<00:06,  7.07it/s]
ITERATION - loss: 1.98:  29%|██▊       | 18/63 [02:22<00:05,  8.74it/s]
ITERATION - loss: 2.02:  33%|███▎      | 21/63 [02:22<00:04, 10.45it/s]
ITERATION - loss: 1.94:  38%|███▊      | 24/63 [02:22<00:03, 11.95it/s]
ITERATION - loss: 2.14:  43%|████▎     | 27/63 [02:22<00:02, 13.90it/s]
ITERATION - loss: 1.56:  48%|████▊     | 30/63 [02:22<00:02, 15.33it/s]
ITERATION - loss: 2.11:  52%|█████▏    | 33/63 [02:22<00:01, 17.67it/s]
ITERATION - loss: 2.24:  57%|█████▋    | 36/63 [02:22<00:01, 19.57it/s]
ITERATION - loss: 1.05:  62%|██████▏   | 39/63 [02:23<00:01, 20.02it/s]
ITERATION - loss: 1.67:  67%|██████▋   | 42/63 [02:23<00:00, 21.52it/s]
ITERATION - loss: 1.79:  71%|███████▏  | 45/63 [02:23<00:00, 21.27it/s]
ITERATION - loss: 1.64:  76%|███████▌  | 48/63 [02:23<00:00, 21.97it/s]
ITERATION - loss: 1.35:  81%|████████  | 51/63 [02:23<00:00, 22.54it/s]
ITERATION - loss: 2.67:  86%|████████▌ | 54/63 [02:23<00:00, 21.24it/s]
ITERATION - loss: 1.89:  90%|█████████ | 57/63 [02:23<00:00, 20.82it/s]
ITERATION - loss: 2.52:  95%|█████████▌| 60/63 [02:24<00:00, 20.71it/s]
ITERATION - loss: 1.08: 100%|██████████| 63/63 [02:24<00:00, 22.80it/s]
ITERATION - loss: 1.08: 100%|██████████| 63/63 [02:24<00:00, 22.80it/s]
                                                                       

Training Results - Epoch: 21 Metrics: mse: 1.967, avep: 0.936, top5: 0.943, frac_mc: 0.880, top1: 0.975, mae: 0.947, loss: 1.967

ITERATION - loss: 1.08:   0%|          | 0/63 [02:27<00:02, 22.80it/s]
                                                                      

Validation Results - Epoch: 21 Metrics: mse: 2.220, avep: 0.932, top5: 0.937, frac_mc: 0.873, top1: 0.974, mae: 0.981, loss: 2.220

ITERATION - loss: 1.08:   0%|          | 0/63 [02:28<00:02, 22.80it/s]
ITERATION - loss: 1.98:   5%|▍         | 3/63 [02:28<00:27,  2.20it/s]
ITERATION - loss: 2.24:   8%|▊         | 5/63 [02:28<00:19,  3.00it/s]
ITERATION - loss: 2.72:  13%|█▎        | 8/63 [02:28<00:13,  4.07it/s]
ITERATION - loss: 2.05:  17%|█▋        | 11/63 [02:28<00:09,  5.38it/s]
ITERATION - loss: 1.33:  22%|██▏       | 14/63 [02:28<00:07,  6.96it/s]
ITERATION - loss: 3.15:  27%|██▋       | 17/63 [02:28<00:05,  8.82it/s]
ITERATION - loss: 1.41:  32%|███▏      | 20/63 [02:29<00:04, 10.62it/s]
ITERATION - loss: 2.74:  37%|███▋      | 23/63 [02:29<00:03, 12.70it/s]
ITERATION - loss: 1.14:  41%|████▏     | 26/63 [02:29<00:02, 14.52it/s]
ITERATION - loss: 1.54:  46%|████▌     | 29/63 [02:29<00:02, 15.87it/s]
ITERATION - loss: 2.12:  51%|█████     | 32/63 [02:29<00:01, 16.48it/s]
ITERATION - loss: 2.10:  56%|█████▌    | 35/63 [02:29<00:01, 17.81it/s]
ITERATION - loss: 2.56:  60%|██████    | 38/63 [02:29<00:01, 19.16it/s]
ITERATION - loss: 1.73:  65%|██████▌   | 41/63 [02:30<00:01, 19.54it/s]
ITERATION - loss: 1.81:  70%|██████▉   | 44/63 [02:30<00:00, 19.46it/s]
ITERATION - loss: 2.91:  75%|███████▍  | 47/63 [02:30<00:00, 19.80it/s]
ITERATION - loss: 2.40:  79%|███████▉  | 50/63 [02:30<00:00, 21.16it/s]
ITERATION - loss: 1.41:  84%|████████▍ | 53/63 [02:30<00:00, 20.66it/s]
ITERATION - loss: 3.72:  89%|████████▉ | 56/63 [02:30<00:00, 21.83it/s]
ITERATION - loss: 2.76:  94%|█████████▎| 59/63 [02:30<00:00, 23.47it/s]
ITERATION - loss: 1.46:  98%|█████████▊| 62/63 [02:31<00:00, 22.91it/s]
ITERATION - loss: 3.19: 100%|██████████| 63/63 [02:31<00:00, 22.91it/s]
                                                                       

Training Results - Epoch: 22 Metrics: mse: 2.360, avep: 0.934, top5: 0.940, frac_mc: 0.878, top1: 0.973, mae: 1.027, loss: 2.360

ITERATION - loss: 3.19:   0%|          | 0/63 [02:34<00:02, 22.91it/s]
                                                                      

Validation Results - Epoch: 22 Metrics: mse: 2.654, avep: 0.930, top5: 0.934, frac_mc: 0.871, top1: 0.970, mae: 1.058, loss: 2.654

ITERATION - loss: 3.19:   0%|          | 0/63 [02:35<00:02, 22.91it/s]
ITERATION - loss: 1.79:   5%|▍         | 3/63 [02:35<00:27,  2.18it/s]
ITERATION - loss: 1.28:  10%|▉         | 6/63 [02:35<00:19,  2.99it/s]
ITERATION - loss: 2.07:  14%|█▍        | 9/63 [02:35<00:13,  4.03it/s]
ITERATION - loss: 2.42:  17%|█▋        | 11/63 [02:35<00:09,  5.25it/s]
ITERATION - loss: 2.16:  22%|██▏       | 14/63 [02:35<00:07,  6.90it/s]
ITERATION - loss: 3.31:  27%|██▋       | 17/63 [02:36<00:05,  8.47it/s]
ITERATION - loss: 1.94:  32%|███▏      | 20/63 [02:36<00:04, 10.61it/s]
ITERATION - loss: 2.10:  37%|███▋      | 23/63 [02:36<00:03, 12.54it/s]
ITERATION - loss: 1.40:  41%|████▏     | 26/63 [02:36<00:02, 14.01it/s]
ITERATION - loss: 2.17:  46%|████▌     | 29/63 [02:36<00:02, 15.92it/s]
ITERATION - loss: 2.25:  51%|█████     | 32/63 [02:36<00:01, 16.61it/s]
ITERATION - loss: 1.28:  56%|█████▌    | 35/63 [02:36<00:01, 18.22it/s]
ITERATION - loss: 4.13:  60%|██████    | 38/63 [02:37<00:01, 18.52it/s]
ITERATION - loss: 1.86:  65%|██████▌   | 41/63 [02:37<00:01, 19.79it/s]
ITERATION - loss: 2.98:  70%|██████▉   | 44/63 [02:37<00:00, 20.37it/s]
ITERATION - loss: 2.86:  75%|███████▍  | 47/63 [02:37<00:00, 18.54it/s]
ITERATION - loss: 2.79:  79%|███████▉  | 50/63 [02:37<00:00, 19.81it/s]
ITERATION - loss: 2.06:  84%|████████▍ | 53/63 [02:37<00:00, 20.36it/s]
ITERATION - loss: 1.83:  89%|████████▉ | 56/63 [02:37<00:00, 20.33it/s]
ITERATION - loss: 1.67:  94%|█████████▎| 59/63 [02:38<00:00, 19.99it/s]
ITERATION - loss: 1.51:  98%|█████████▊| 62/63 [02:38<00:00, 20.25it/s]
ITERATION - loss: 3.40: 100%|██████████| 63/63 [02:38<00:00, 20.25it/s]
                                                                       

Training Results - Epoch: 23 Metrics: mse: 1.936, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.975, mae: 1.018, loss: 1.936

ITERATION - loss: 3.40:   0%|          | 0/63 [02:41<00:03, 20.25it/s]
                                                                      
Validation Results - Epoch: 23 Metrics: mse: 2.263, avep: 0.933, top5: 0.939, frac_mc: 0.875, top1: 0.976, mae: 1.077, loss: 2.263


ITERATION - loss: 3.40:   0%|          | 0/63 [02:42<00:03, 20.25it/s]
ITERATION - loss: 1.73:   5%|▍         | 3/63 [02:42<00:27,  2.17it/s]
ITERATION - loss: 2.55:   8%|▊         | 5/63 [02:42<00:19,  2.96it/s]
ITERATION - loss: 1.82:  13%|█▎        | 8/63 [02:42<00:13,  4.02it/s]
ITERATION - loss: 1.75:  16%|█▌        | 10/63 [02:42<00:10,  5.29it/s]
ITERATION - loss: 1.77:  21%|██        | 13/63 [02:42<00:07,  6.91it/s]
ITERATION - loss: 1.93:  25%|██▌       | 16/63 [02:43<00:05,  8.82it/s]
ITERATION - loss: 3.48:  30%|███       | 19/63 [02:43<00:04, 10.68it/s]
ITERATION - loss: 1.51:  35%|███▍      | 22/63 [02:43<00:03, 12.76it/s]
ITERATION - loss: 3.11:  40%|███▉      | 25/63 [02:43<00:02, 14.10it/s]
ITERATION - loss: 1.49:  44%|████▍     | 28/63 [02:43<00:02, 16.04it/s]
ITERATION - loss: 2.26:  49%|████▉     | 31/63 [02:43<00:01, 17.10it/s]
ITERATION - loss: 1.92:  54%|█████▍    | 34/63 [02:43<00:01, 17.49it/s]
ITERATION - loss: 1.35:  59%|█████▊    | 37/63 [02:44<00:01, 18.86it/s]
ITERATION - loss: 1.51:  63%|██████▎   | 40/63 [02:44<00:01, 19.45it/s]
ITERATION - loss: 2.04:  68%|██████▊   | 43/63 [02:44<00:00, 20.21it/s]
ITERATION - loss: 1.51:  73%|███████▎  | 46/63 [02:44<00:00, 19.78it/s]
ITERATION - loss: 2.61:  78%|███████▊  | 49/63 [02:44<00:00, 20.73it/s]
ITERATION - loss: 1.59:  83%|████████▎ | 52/63 [02:44<00:00, 20.48it/s]
ITERATION - loss: 1.55:  87%|████████▋ | 55/63 [02:44<00:00, 21.39it/s]
ITERATION - loss: 1.29:  92%|█████████▏| 58/63 [02:44<00:00, 21.02it/s]
ITERATION - loss: 1.43:  97%|█████████▋| 61/63 [02:45<00:00, 21.05it/s]
ITERATION - loss: 1.74: 100%|██████████| 63/63 [02:45<00:00, 21.05it/s]
                                                                       

Training Results - Epoch: 24 Metrics: mse: 1.851, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.976, mae: 0.976, loss: 1.851

ITERATION - loss: 1.74:   0%|          | 0/63 [02:48<00:02, 21.05it/s]
                                                                      

Validation Results - Epoch: 24 Metrics: mse: 2.158, avep: 0.933, top5: 0.938, frac_mc: 0.874, top1: 0.978, mae: 1.023, loss: 2.158

ITERATION - loss: 1.74:   0%|          | 0/63 [02:49<00:02, 21.05it/s]
ITERATION - loss: 2.70:   5%|▍         | 3/63 [02:49<00:26,  2.23it/s]
ITERATION - loss: 1.45:   8%|▊         | 5/63 [02:49<00:19,  3.02it/s]
ITERATION - loss: 1.04:  13%|█▎        | 8/63 [02:49<00:13,  4.10it/s]
ITERATION - loss: 1.23:  17%|█▋        | 11/63 [02:49<00:09,  5.34it/s]
ITERATION - loss: 2.27:  22%|██▏       | 14/63 [02:49<00:07,  6.97it/s]
ITERATION - loss: 1.81:  27%|██▋       | 17/63 [02:49<00:05,  8.82it/s]
ITERATION - loss: 1.29:  32%|███▏      | 20/63 [02:50<00:04, 10.63it/s]
ITERATION - loss: 1.62:  37%|███▋      | 23/63 [02:50<00:03, 12.78it/s]
ITERATION - loss: 2.98:  41%|████▏     | 26/63 [02:50<00:02, 13.98it/s]
ITERATION - loss: 1.76:  46%|████▌     | 29/63 [02:50<00:02, 15.74it/s]
ITERATION - loss: 2.90:  51%|█████     | 32/63 [02:50<00:01, 16.72it/s]
ITERATION - loss: 0.94:  56%|█████▌    | 35/63 [02:50<00:01, 17.66it/s]
ITERATION - loss: 1.55:  60%|██████    | 38/63 [02:50<00:01, 19.41it/s]
ITERATION - loss: 1.77:  65%|██████▌   | 41/63 [02:51<00:01, 19.71it/s]
ITERATION - loss: 2.17:  70%|██████▉   | 44/63 [02:51<00:00, 19.99it/s]
ITERATION - loss: 1.27:  75%|███████▍  | 47/63 [02:51<00:00, 18.62it/s]
ITERATION - loss: 2.38:  79%|███████▉  | 50/63 [02:51<00:00, 20.46it/s]
ITERATION - loss: 1.59:  84%|████████▍ | 53/63 [02:51<00:00, 21.45it/s]
ITERATION - loss: 2.56:  89%|████████▉ | 56/63 [02:51<00:00, 21.47it/s]
ITERATION - loss: 2.79:  94%|█████████▎| 59/63 [02:51<00:00, 22.67it/s]
ITERATION - loss: 3.19:  98%|█████████▊| 62/63 [02:52<00:00, 21.62it/s]
ITERATION - loss: 0.61: 100%|██████████| 63/63 [02:52<00:00, 21.62it/s]
                                                                       

Training Results - Epoch: 25 Metrics: mse: 1.868, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.975, mae: 0.947, loss: 1.868

ITERATION - loss: 0.61:   0%|          | 0/63 [02:55<00:02, 21.62it/s]
                                                                      

Validation Results - Epoch: 25 Metrics: mse: 2.326, avep: 0.932, top5: 0.936, frac_mc: 0.874, top1: 0.976, mae: 1.024, loss: 2.326

ITERATION - loss: 0.61:   0%|          | 0/63 [02:56<00:02, 21.62it/s]
ITERATION - loss: 0.93:   5%|▍         | 3/63 [02:56<00:27,  2.22it/s]
ITERATION - loss: 1.31:  10%|▉         | 6/63 [02:56<00:18,  3.03it/s]
ITERATION - loss: 2.20:  14%|█▍        | 9/63 [02:56<00:13,  4.11it/s]
ITERATION - loss: 2.24:  19%|█▉        | 12/63 [02:56<00:09,  5.47it/s]
ITERATION - loss: 2.98:  24%|██▍       | 15/63 [02:56<00:06,  7.02it/s]
ITERATION - loss: 1.82:  29%|██▊       | 18/63 [02:56<00:05,  8.95it/s]
ITERATION - loss: 1.28:  33%|███▎      | 21/63 [02:57<00:03, 10.80it/s]
ITERATION - loss: 1.54:  38%|███▊      | 24/63 [02:57<00:02, 13.12it/s]
ITERATION - loss: 1.59:  43%|████▎     | 27/63 [02:57<00:02, 15.37it/s]
ITERATION - loss: 2.48:  48%|████▊     | 30/63 [02:57<00:01, 16.75it/s]
ITERATION - loss: 2.03:  52%|█████▏    | 33/63 [02:57<00:01, 18.53it/s]
ITERATION - loss: 2.58:  57%|█████▋    | 36/63 [02:57<00:01, 19.40it/s]
ITERATION - loss: 1.86:  62%|██████▏   | 39/63 [02:57<00:01, 19.56it/s]
ITERATION - loss: 1.61:  67%|██████▋   | 42/63 [02:57<00:01, 19.91it/s]
ITERATION - loss: 1.37:  71%|███████▏  | 45/63 [02:58<00:00, 20.25it/s]
ITERATION - loss: 1.37:  76%|███████▌  | 48/63 [02:58<00:00, 20.71it/s]
ITERATION - loss: 2.00:  81%|████████  | 51/63 [02:58<00:00, 20.48it/s]
ITERATION - loss: 1.82:  86%|████████▌ | 54/63 [02:58<00:00, 21.04it/s]
ITERATION - loss: 1.10:  90%|█████████ | 57/63 [02:58<00:00, 20.84it/s]
ITERATION - loss: 1.45:  95%|█████████▌| 60/63 [02:58<00:00, 21.12it/s]
ITERATION - loss: 1.70: 100%|██████████| 63/63 [02:58<00:00, 22.12it/s]
ITERATION - loss: 1.70: 100%|██████████| 63/63 [02:58<00:00, 22.12it/s]
                                                                       

Training Results - Epoch: 26 Metrics: mse: 2.205, avep: 0.936, top5: 0.943, frac_mc: 0.881, top1: 0.975, mae: 1.132, loss: 2.205

ITERATION - loss: 1.70:   0%|          | 0/63 [03:02<00:02, 22.12it/s]
                                                                      

Validation Results - Epoch: 26 Metrics: mse: 2.569, avep: 0.933, top5: 0.938, frac_mc: 0.875, top1: 0.978, mae: 1.203, loss: 2.569

ITERATION - loss: 1.70:   0%|          | 0/63 [03:03<00:02, 22.12it/s]
ITERATION - loss: 0.97:   5%|▍         | 3/63 [03:03<00:27,  2.20it/s]
ITERATION - loss: 1.75:  10%|▉         | 6/63 [03:03<00:18,  3.02it/s]
ITERATION - loss: 1.45:  13%|█▎        | 8/63 [03:03<00:13,  4.03it/s]
ITERATION - loss: 2.25:  17%|█▋        | 11/63 [03:03<00:09,  5.36it/s]
ITERATION - loss: 1.64:  22%|██▏       | 14/63 [03:03<00:07,  6.99it/s]
ITERATION - loss: 1.34:  27%|██▋       | 17/63 [03:03<00:05,  8.56it/s]
ITERATION - loss: 2.48:  32%|███▏      | 20/63 [03:03<00:04, 10.62it/s]
ITERATION - loss: 2.05:  37%|███▋      | 23/63 [03:04<00:03, 12.25it/s]
ITERATION - loss: 2.40:  41%|████▏     | 26/63 [03:04<00:02, 14.07it/s]
ITERATION - loss: 1.10:  46%|████▌     | 29/63 [03:04<00:02, 15.62it/s]
ITERATION - loss: 2.18:  51%|█████     | 32/63 [03:04<00:01, 17.05it/s]
ITERATION - loss: 1.42:  56%|█████▌    | 35/63 [03:04<00:01, 17.26it/s]
ITERATION - loss: 1.94:  60%|██████    | 38/63 [03:04<00:01, 18.74it/s]
ITERATION - loss: 0.80:  65%|██████▌   | 41/63 [03:04<00:01, 19.80it/s]
ITERATION - loss: 1.17:  70%|██████▉   | 44/63 [03:05<00:00, 19.54it/s]
ITERATION - loss: 2.44:  75%|███████▍  | 47/63 [03:05<00:00, 20.43it/s]
ITERATION - loss: 2.17:  79%|███████▉  | 50/63 [03:05<00:00, 20.52it/s]
ITERATION - loss: 1.40:  84%|████████▍ | 53/63 [03:05<00:00, 21.45it/s]
ITERATION - loss: 3.22:  89%|████████▉ | 56/63 [03:05<00:00, 22.60it/s]
ITERATION - loss: 1.45:  94%|█████████▎| 59/63 [03:05<00:00, 22.05it/s]
ITERATION - loss: 2.04:  98%|█████████▊| 62/63 [03:05<00:00, 22.57it/s]
ITERATION - loss: 3.25: 100%|██████████| 63/63 [03:05<00:00, 22.57it/s]
                                                                       
Training Results - Epoch: 27 Metrics: mse: 2.584, avep: 0.936, top5: 0.943, frac_mc: 0.879, top1: 0.975, mae: 1.179, loss: 2.584

ITERATION - loss: 3.25:   0%|          | 0/63 [03:09<00:02, 22.57it/s]
                                                                      
Validation Results - Epoch: 27 Metrics: mse: 2.844, avep: 0.931, top5: 0.937, frac_mc: 0.873, top1: 0.974, mae: 1.226, loss: 2.844

ITERATION - loss: 3.25:   0%|          | 0/63 [03:09<00:02, 22.57it/s]
ITERATION - loss: 1.23:   5%|▍         | 3/63 [03:10<00:26,  2.23it/s]
ITERATION - loss: 2.02:  10%|▉         | 6/63 [03:10<00:18,  3.05it/s]
ITERATION - loss: 2.01:  14%|█▍        | 9/63 [03:10<00:13,  4.05it/s]
ITERATION - loss: 1.65:  19%|█▉        | 12/63 [03:10<00:09,  5.40it/s]
ITERATION - loss: 2.18:  24%|██▍       | 15/63 [03:10<00:06,  7.03it/s]
ITERATION - loss: 1.52:  29%|██▊       | 18/63 [03:10<00:05,  8.72it/s]
ITERATION - loss: 2.04:  33%|███▎      | 21/63 [03:10<00:03, 10.74it/s]
ITERATION - loss: 2.49:  38%|███▊      | 24/63 [03:11<00:03, 12.74it/s]
ITERATION - loss: 1.87:  43%|████▎     | 27/63 [03:11<00:02, 15.12it/s]
ITERATION - loss: 1.87:  48%|████▊     | 30/63 [03:11<00:01, 16.75it/s]
ITERATION - loss: 2.03:  52%|█████▏    | 33/63 [03:11<00:01, 17.48it/s]
ITERATION - loss: 1.41:  57%|█████▋    | 36/63 [03:11<00:01, 18.93it/s]
ITERATION - loss: 1.88:  62%|██████▏   | 39/63 [03:11<00:01, 19.21it/s]
ITERATION - loss: 1.62:  67%|██████▋   | 42/63 [03:11<00:01, 20.78it/s]
ITERATION - loss: 2.05:  71%|███████▏  | 45/63 [03:11<00:00, 21.24it/s]
ITERATION - loss: 2.13:  76%|███████▌  | 48/63 [03:12<00:00, 20.64it/s]
ITERATION - loss: 2.59:  81%|████████  | 51/63 [03:12<00:00, 21.85it/s]
ITERATION - loss: 1.70:  86%|████████▌ | 54/63 [03:12<00:00, 21.23it/s]
ITERATION - loss: 1.54:  90%|█████████ | 57/63 [03:12<00:00, 20.87it/s]
ITERATION - loss: 1.26:  95%|█████████▌| 60/63 [03:12<00:00, 19.87it/s]
ITERATION - loss: 1.49: 100%|██████████| 63/63 [03:12<00:00, 19.87it/s]
                                                                       

Training Results - Epoch: 28 Metrics: mse: 1.594, avep: 0.936, top5: 0.943, frac_mc: 0.880, top1: 0.975, mae: 0.900, loss: 1.594

ITERATION - loss: 1.49:   0%|          | 0/63 [03:15<00:03, 19.87it/s]
                                                                      

Validation Results - Epoch: 28 Metrics: mse: 1.918, avep: 0.931, top5: 0.937, frac_mc: 0.872, top1: 0.972, mae: 0.959, loss: 1.918

ITERATION - loss: 1.49:   0%|          | 0/63 [03:16<00:03, 19.87it/s]
ITERATION - loss: 1.10:   5%|▍         | 3/63 [03:16<00:27,  2.18it/s]
ITERATION - loss: 2.58:   8%|▊         | 5/63 [03:17<00:19,  2.97it/s]
ITERATION - loss: 2.77:  13%|█▎        | 8/63 [03:17<00:13,  4.04it/s]
ITERATION - loss: 2.22:  17%|█▋        | 11/63 [03:17<00:09,  5.28it/s]
ITERATION - loss: 2.76:  22%|██▏       | 14/63 [03:17<00:07,  6.85it/s]
ITERATION - loss: 1.76:  27%|██▋       | 17/63 [03:17<00:05,  8.58it/s]
ITERATION - loss: 1.50:  32%|███▏      | 20/63 [03:17<00:04, 10.48it/s]
ITERATION - loss: 1.35:  37%|███▋      | 23/63 [03:17<00:03, 12.21it/s]
ITERATION - loss: 2.61:  41%|████▏     | 26/63 [03:18<00:02, 13.50it/s]
ITERATION - loss: 1.78:  46%|████▌     | 29/63 [03:18<00:02, 15.63it/s]
ITERATION - loss: 1.15:  51%|█████     | 32/63 [03:18<00:01, 17.52it/s]
ITERATION - loss: 2.77:  56%|█████▌    | 35/63 [03:18<00:01, 18.05it/s]
ITERATION - loss: 1.89:  60%|██████    | 38/63 [03:18<00:01, 19.79it/s]
ITERATION - loss: 2.43:  65%|██████▌   | 41/63 [03:18<00:01, 19.76it/s]
ITERATION - loss: 2.36:  70%|██████▉   | 44/63 [03:18<00:00, 20.74it/s]
ITERATION - loss: 1.43:  75%|███████▍  | 47/63 [03:19<00:00, 21.02it/s]
ITERATION - loss: 3.29:  79%|███████▉  | 50/63 [03:19<00:00, 20.85it/s]
ITERATION - loss: 1.84:  84%|████████▍ | 53/63 [03:19<00:00, 21.67it/s]
ITERATION - loss: 0.90:  89%|████████▉ | 56/63 [03:19<00:00, 21.35it/s]
ITERATION - loss: 3.02:  94%|█████████▎| 59/63 [03:19<00:00, 22.30it/s]
ITERATION - loss: 3.85:  98%|█████████▊| 62/63 [03:19<00:00, 21.98it/s]
ITERATION - loss: 0.69: 100%|██████████| 63/63 [03:19<00:00, 21.98it/s]
                                                                       

Training Results - Epoch: 29 Metrics: mse: 1.816, avep: 0.937, top5: 0.943, frac_mc: 0.881, top1: 0.976, mae: 0.937, loss: 1.816

ITERATION - loss: 0.69:   0%|          | 0/63 [03:22<00:02, 21.98it/s]
                                                                      

Validation Results - Epoch: 29 Metrics: mse: 2.204, avep: 0.933, top5: 0.938, frac_mc: 0.874, top1: 0.976, mae: 1.003, loss: 2.204

ITERATION - loss: 0.69:   0%|          | 0/63 [03:23<00:02, 21.98it/s]
ITERATION - loss: 1.94:   5%|▍         | 3/63 [03:23<00:26,  2.23it/s]
ITERATION - loss: 1.50:  10%|▉         | 6/63 [03:24<00:18,  3.05it/s]
ITERATION - loss: 1.01:  13%|█▎        | 8/63 [03:24<00:13,  4.07it/s]
ITERATION - loss: 1.55:  16%|█▌        | 10/63 [03:24<00:09,  5.34it/s]
ITERATION - loss: 2.84:  19%|█▉        | 12/63 [03:24<00:07,  6.80it/s]
ITERATION - loss: 1.62:  22%|██▏       | 14/63 [03:24<00:05,  8.27it/s]
ITERATION - loss: 1.28:  27%|██▋       | 17/63 [03:24<00:04, 10.26it/s]
ITERATION - loss: 0.77:  32%|███▏      | 20/63 [03:24<00:03, 12.44it/s]
ITERATION - loss: 1.22:  37%|███▋      | 23/63 [03:24<00:02, 14.13it/s]
ITERATION - loss: 1.40:  41%|████▏     | 26/63 [03:24<00:02, 16.30it/s]
ITERATION - loss: 2.43:  46%|████▌     | 29/63 [03:25<00:01, 17.49it/s]
ITERATION - loss: 1.24:  51%|█████     | 32/63 [03:25<00:01, 18.91it/s]
ITERATION - loss: 1.14:  56%|█████▌    | 35/63 [03:25<00:01, 19.27it/s]
ITERATION - loss: 3.73:  60%|██████    | 38/63 [03:25<00:01, 20.22it/s]
ITERATION - loss: 1.75:  65%|██████▌   | 41/63 [03:25<00:01, 21.19it/s]
ITERATION - loss: 1.79:  70%|██████▉   | 44/63 [03:25<00:00, 21.15it/s]
ITERATION - loss: 1.12:  75%|███████▍  | 47/63 [03:25<00:00, 21.54it/s]
ITERATION - loss: 1.07:  79%|███████▉  | 50/63 [03:26<00:00, 21.13it/s]
ITERATION - loss: 1.64:  84%|████████▍ | 53/63 [03:26<00:00, 21.89it/s]
ITERATION - loss: 1.54:  89%|████████▉ | 56/63 [03:26<00:00, 22.90it/s]
ITERATION - loss: 1.95:  94%|█████████▎| 59/63 [03:26<00:00, 22.12it/s]
ITERATION - loss: 1.42:  98%|█████████▊| 62/63 [03:26<00:00, 22.06it/s]
ITERATION - loss: 0.98: 100%|██████████| 63/63 [03:26<00:00, 22.06it/s]
                                                                       

Training Results - Epoch: 30 Metrics: mse: 2.034, avep: 0.936, top5: 0.943, frac_mc: 0.881, top1: 0.976, mae: 0.962, loss: 2.034

ITERATION - loss: 0.98:   0%|          | 0/63 [03:29<00:02, 22.06it/s]
                                                                      

Validation Results - Epoch: 30 Metrics: mse: 2.256, avep: 0.933, top5: 0.938, frac_mc: 0.874, top1: 0.974, mae: 0.983, loss: 2.256

ITERATION - loss: 0.98:   0%|          | 0/63 [03:30<00:02, 22.06it/s]
ITERATION - loss: 1.49:   5%|▍         | 3/63 [03:30<00:27,  2.18it/s]
ITERATION - loss: 2.74:  10%|▉         | 6/63 [03:30<00:19,  3.00it/s]
ITERATION - loss: 1.91:  13%|█▎        | 8/63 [03:31<00:13,  3.97it/s]
ITERATION - loss: 1.31:  17%|█▋        | 11/63 [03:31<00:09,  5.26it/s]
ITERATION - loss: 1.34:  22%|██▏       | 14/63 [03:31<00:07,  6.87it/s]
ITERATION - loss: 1.41:  27%|██▋       | 17/63 [03:31<00:05,  8.71it/s]
ITERATION - loss: 3.10:  32%|███▏      | 20/63 [03:31<00:04, 10.73it/s]
ITERATION - loss: 3.46:  37%|███▋      | 23/63 [03:31<00:03, 12.57it/s]
ITERATION - loss: 2.17:  41%|████▏     | 26/63 [03:31<00:02, 14.50it/s]
ITERATION - loss: 1.00:  46%|████▌     | 29/63 [03:32<00:02, 16.13it/s]
ITERATION - loss: 1.58:  51%|█████     | 32/63 [03:32<00:01, 17.06it/s]
ITERATION - loss: 1.76:  56%|█████▌    | 35/63 [03:32<00:01, 18.39it/s]
ITERATION - loss: 0.90:  60%|██████    | 38/63 [03:32<00:01, 18.91it/s]
ITERATION - loss: 1.50:  65%|██████▌   | 41/63 [03:32<00:01, 19.47it/s]
ITERATION - loss: 1.48:  70%|██████▉   | 44/63 [03:32<00:01, 18.62it/s]
ITERATION - loss: 0.80:  75%|███████▍  | 47/63 [03:32<00:00, 19.95it/s]
ITERATION - loss: 1.50:  79%|███████▉  | 50/63 [03:33<00:00, 20.19it/s]
ITERATION - loss: 2.15:  84%|████████▍ | 53/63 [03:33<00:00, 19.80it/s]
ITERATION - loss: 0.97:  89%|████████▉ | 56/63 [03:33<00:00, 20.14it/s]
ITERATION - loss: 2.11:  94%|█████████▎| 59/63 [03:33<00:00, 19.71it/s]
ITERATION - loss: 3.21:  98%|█████████▊| 62/63 [03:33<00:00, 19.10it/s]
ITERATION - loss: 4.66: 100%|██████████| 63/63 [03:33<00:00, 19.10it/s]
                                                                       

ITERATION - loss: 4.66:   0%|          | 0/63 [03:36<00:03, 19.10it/s]
Training Results - Epoch: 31 Metrics: mse: 1.925, avep: 0.936, top5: 0.943, frac_mc: 0.882, top1: 0.975, mae: 1.017, loss: 1.925

                                                                      

Validation Results - Epoch: 31 Metrics: mse: 2.335, avep: 0.933, top5: 0.938, frac_mc: 0.876, top1: 0.980, mae: 1.107, loss: 2.335

ITERATION - loss: 4.66:   0%|          | 0/63 [03:37<00:03, 19.10it/s]
ITERATION - loss: 1.46:   3%|▎         | 2/63 [03:37<00:40,  1.51it/s]
ITERATION - loss: 2.33:   8%|▊         | 5/63 [03:37<00:27,  2.10it/s]
ITERATION - loss: 1.48:  11%|█         | 7/63 [03:38<00:19,  2.87it/s]
ITERATION - loss: 2.45:  16%|█▌        | 10/63 [03:38<00:13,  3.87it/s]
ITERATION - loss: 0.70:  19%|█▉        | 12/63 [03:38<00:10,  5.05it/s]
ITERATION - loss: 1.57:  22%|██▏       | 14/63 [03:38<00:07,  6.45it/s]
ITERATION - loss: 2.59:  27%|██▋       | 17/63 [03:38<00:05,  8.19it/s]
ITERATION - loss: 1.71:  32%|███▏      | 20/63 [03:38<00:04,  9.65it/s]
ITERATION - loss: 1.54:  37%|███▋      | 23/63 [03:38<00:03, 11.73it/s]
ITERATION - loss: 3.87:  41%|████▏     | 26/63 [03:39<00:02, 13.99it/s]
ITERATION - loss: 2.08:  46%|████▌     | 29/63 [03:39<00:02, 15.36it/s]
ITERATION - loss: 2.13:  51%|█████     | 32/63 [03:39<00:01, 16.41it/s]
ITERATION - loss: 1.65:  56%|█████▌    | 35/63 [03:39<00:01, 17.50it/s]
ITERATION - loss: 2.76:  60%|██████    | 38/63 [03:39<00:01, 19.03it/s]
ITERATION - loss: 2.38:  65%|██████▌   | 41/63 [03:39<00:01, 18.72it/s]
ITERATION - loss: 1.23:  70%|██████▉   | 44/63 [03:39<00:00, 20.18it/s]
ITERATION - loss: 1.32:  75%|███████▍  | 47/63 [03:40<00:00, 21.08it/s]
ITERATION - loss: 1.38:  79%|███████▉  | 50/63 [03:40<00:00, 20.96it/s]
ITERATION - loss: 1.01:  84%|████████▍ | 53/63 [03:40<00:00, 21.37it/s]
ITERATION - loss: 1.98:  89%|████████▉ | 56/63 [03:40<00:00, 21.18it/s]
ITERATION - loss: 2.11:  94%|█████████▎| 59/63 [03:40<00:00, 20.65it/s]
ITERATION - loss: 1.58:  98%|█████████▊| 62/63 [03:40<00:00, 20.16it/s]
ITERATION - loss: 1.24: 100%|██████████| 63/63 [03:40<00:00, 20.16it/s]
                                                                       

Training Results - Epoch: 32 Metrics: mse: 1.685, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.974, mae: 0.937, loss: 1.685

ITERATION - loss: 1.24:   0%|          | 0/63 [03:43<00:03, 20.16it/s]
                                                                      

Validation Results - Epoch: 32 Metrics: mse: 2.045, avep: 0.931, top5: 0.936, frac_mc: 0.874, top1: 0.976, mae: 1.013, loss: 2.045

ITERATION - loss: 1.24:   0%|          | 0/63 [03:44<00:03, 20.16it/s]
ITERATION - loss: 1.24:   5%|▍         | 3/63 [03:44<00:27,  2.22it/s]
ITERATION - loss: 2.11:  10%|▉         | 6/63 [03:45<00:18,  3.07it/s]
ITERATION - loss: 1.68:  13%|█▎        | 8/63 [03:45<00:13,  4.11it/s]
ITERATION - loss: 1.93:  17%|█▋        | 11/63 [03:45<00:09,  5.41it/s]
ITERATION - loss: 1.43:  22%|██▏       | 14/63 [03:45<00:07,  6.94it/s]
ITERATION - loss: 1.06:  25%|██▌       | 16/63 [03:45<00:05,  8.34it/s]
ITERATION - loss: 1.82:  30%|███       | 19/63 [03:45<00:04, 10.50it/s]
ITERATION - loss: 1.24:  35%|███▍      | 22/63 [03:45<00:03, 12.32it/s]
ITERATION - loss: 1.38:  40%|███▉      | 25/63 [03:45<00:02, 14.51it/s]
ITERATION - loss: 1.60:  44%|████▍     | 28/63 [03:46<00:02, 17.01it/s]
ITERATION - loss: 1.48:  49%|████▉     | 31/63 [03:46<00:01, 18.16it/s]
ITERATION - loss: 2.74:  54%|█████▍    | 34/63 [03:46<00:01, 20.11it/s]
ITERATION - loss: 1.67:  59%|█████▊    | 37/63 [03:46<00:01, 21.48it/s]
ITERATION - loss: 1.68:  63%|██████▎   | 40/63 [03:46<00:01, 21.28it/s]
ITERATION - loss: 0.62:  68%|██████▊   | 43/63 [03:46<00:00, 21.50it/s]
ITERATION - loss: 1.31:  73%|███████▎  | 46/63 [03:46<00:00, 20.79it/s]
ITERATION - loss: 1.80:  78%|███████▊  | 49/63 [03:46<00:00, 21.17it/s]
ITERATION - loss: 1.70:  83%|████████▎ | 52/63 [03:47<00:00, 20.42it/s]
ITERATION - loss: 1.41:  87%|████████▋ | 55/63 [03:47<00:00, 21.42it/s]
ITERATION - loss: 1.79:  92%|█████████▏| 58/63 [03:47<00:00, 21.69it/s]
ITERATION - loss: 2.08:  97%|█████████▋| 61/63 [03:47<00:00, 21.33it/s]
ITERATION - loss: 1.89: 100%|██████████| 63/63 [03:47<00:00, 21.33it/s]
                                                                       

Training Results - Epoch: 33 Metrics: mse: 1.738, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.974, mae: 0.952, loss: 1.738

ITERATION - loss: 1.89:   0%|          | 0/63 [03:50<00:02, 21.33it/s]
                                                                      

Validation Results - Epoch: 33 Metrics: mse: 2.114, avep: 0.932, top5: 0.938, frac_mc: 0.875, top1: 0.976, mae: 1.033, loss: 2.114

ITERATION - loss: 1.89:   0%|          | 0/63 [03:51<00:02, 21.33it/s]
ITERATION - loss: 2.19:   5%|▍         | 3/63 [03:51<00:27,  2.16it/s]
ITERATION - loss: 1.35:  10%|▉         | 6/63 [03:51<00:19,  2.98it/s]
ITERATION - loss: 1.47:  14%|█▍        | 9/63 [03:52<00:13,  3.99it/s]
ITERATION - loss: 1.79:  19%|█▉        | 12/63 [03:52<00:09,  5.30it/s]
ITERATION - loss: 2.30:  24%|██▍       | 15/63 [03:52<00:06,  6.86it/s]
ITERATION - loss: 1.11:  29%|██▊       | 18/63 [03:52<00:05,  8.60it/s]
ITERATION - loss: 2.71:  33%|███▎      | 21/63 [03:52<00:03, 10.76it/s]
ITERATION - loss: 1.60:  38%|███▊      | 24/63 [03:52<00:03, 12.71it/s]
ITERATION - loss: 2.53:  43%|████▎     | 27/63 [03:52<00:02, 14.89it/s]
ITERATION - loss: 2.15:  48%|████▊     | 30/63 [03:52<00:01, 17.10it/s]
ITERATION - loss: 1.05:  52%|█████▏    | 33/63 [03:53<00:01, 17.73it/s]
ITERATION - loss: 2.41:  57%|█████▋    | 36/63 [03:53<00:01, 19.37it/s]
ITERATION - loss: 0.97:  62%|██████▏   | 39/63 [03:53<00:01, 19.41it/s]
ITERATION - loss: 1.45:  67%|██████▋   | 42/63 [03:53<00:01, 20.55it/s]
ITERATION - loss: 1.20:  71%|███████▏  | 45/63 [03:53<00:00, 19.24it/s]
ITERATION - loss: 1.24:  76%|███████▌  | 48/63 [03:53<00:00, 20.24it/s]
ITERATION - loss: 1.24:  81%|████████  | 51/63 [03:53<00:00, 20.79it/s]
ITERATION - loss: 1.59:  86%|████████▌ | 54/63 [03:54<00:00, 20.27it/s]
ITERATION - loss: 1.09:  90%|█████████ | 57/63 [03:54<00:00, 20.34it/s]
ITERATION - loss: 2.56:  95%|█████████▌| 60/63 [03:54<00:00, 20.40it/s]
ITERATION - loss: 3.47: 100%|██████████| 63/63 [03:54<00:00, 20.40it/s]
Training Results - Epoch: 34 Metrics: mse: 1.511, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.975, mae: 0.876, loss: 1.511

                                                                       

ITERATION - loss: 3.47:   0%|          | 0/63 [03:57<00:03, 20.40it/s]
Validation Results - Epoch: 34 Metrics: mse: 1.757, avep: 0.931, top5: 0.937, frac_mc: 0.873, top1: 0.974, mae: 0.916, loss: 1.757

                                                                      

ITERATION - loss: 3.47:   0%|          | 0/63 [03:58<00:03, 20.40it/s]
ITERATION - loss: 1.98:   5%|▍         | 3/63 [03:58<00:26,  2.22it/s]
ITERATION - loss: 2.08:  10%|▉         | 6/63 [03:58<00:18,  3.04it/s]
ITERATION - loss: 1.65:  13%|█▎        | 8/63 [03:58<00:13,  4.04it/s]
ITERATION - loss: 1.80:  17%|█▋        | 11/63 [03:58<00:09,  5.37it/s]
ITERATION - loss: 1.74:  22%|██▏       | 14/63 [03:59<00:07,  6.92it/s]
ITERATION - loss: 2.05:  27%|██▋       | 17/63 [03:59<00:05,  8.80it/s]
ITERATION - loss: 2.06:  32%|███▏      | 20/63 [03:59<00:03, 10.98it/s]
ITERATION - loss: 1.36:  37%|███▋      | 23/63 [03:59<00:03, 12.86it/s]
ITERATION - loss: 2.94:  41%|████▏     | 26/63 [03:59<00:02, 15.29it/s]
ITERATION - loss: 1.48:  46%|████▌     | 29/63 [03:59<00:02, 16.80it/s]
ITERATION - loss: 1.58:  51%|█████     | 32/63 [03:59<00:01, 17.58it/s]
ITERATION - loss: 1.93:  56%|█████▌    | 35/63 [04:00<00:01, 18.35it/s]
ITERATION - loss: 1.47:  60%|██████    | 38/63 [04:00<00:01, 18.90it/s]
ITERATION - loss: 1.62:  65%|██████▌   | 41/63 [04:00<00:01, 20.00it/s]
ITERATION - loss: 1.56:  70%|██████▉   | 44/63 [04:00<00:00, 19.90it/s]
ITERATION - loss: 1.27:  75%|███████▍  | 47/63 [04:00<00:00, 19.30it/s]
ITERATION - loss: 1.57:  79%|███████▉  | 50/63 [04:00<00:00, 19.40it/s]
ITERATION - loss: 1.04:  84%|████████▍ | 53/63 [04:00<00:00, 20.30it/s]
ITERATION - loss: 0.84:  89%|████████▉ | 56/63 [04:01<00:00, 21.73it/s]
ITERATION - loss: 1.03:  94%|█████████▎| 59/63 [04:01<00:00, 21.63it/s]
ITERATION - loss: 1.05:  98%|█████████▊| 62/63 [04:01<00:00, 20.88it/s]
ITERATION - loss: 2.73: 100%|██████████| 63/63 [04:01<00:00, 20.88it/s]
                                                                       

Training Results - Epoch: 35 Metrics: mse: 1.747, avep: 0.936, top5: 0.943, frac_mc: 0.881, top1: 0.975, mae: 0.999, loss: 1.747

ITERATION - loss: 2.73:   0%|          | 0/63 [04:04<00:03, 20.88it/s]
                                                                      

Validation Results - Epoch: 35 Metrics: mse: 2.016, avep: 0.933, top5: 0.940, frac_mc: 0.875, top1: 0.974, mae: 1.055, loss: 2.016

ITERATION - loss: 2.73:   0%|          | 0/63 [04:05<00:03, 20.88it/s]
ITERATION - loss: 1.09:   5%|▍         | 3/63 [04:05<00:26,  2.23it/s]
ITERATION - loss: 1.07:  10%|▉         | 6/63 [04:05<00:18,  3.06it/s]
ITERATION - loss: 1.44:  14%|█▍        | 9/63 [04:05<00:13,  4.10it/s]
ITERATION - loss: 2.96:  19%|█▉        | 12/63 [04:05<00:09,  5.47it/s]
ITERATION - loss: 1.62:  24%|██▍       | 15/63 [04:06<00:06,  7.04it/s]
ITERATION - loss: 1.87:  29%|██▊       | 18/63 [04:06<00:05,  8.73it/s]
ITERATION - loss: 1.35:  33%|███▎      | 21/63 [04:06<00:03, 10.55it/s]
ITERATION - loss: 0.93:  38%|███▊      | 24/63 [04:06<00:03, 12.07it/s]
ITERATION - loss: 1.50:  43%|████▎     | 27/63 [04:06<00:02, 14.21it/s]
ITERATION - loss: 1.08:  48%|████▊     | 30/63 [04:06<00:02, 15.78it/s]
ITERATION - loss: 1.51:  52%|█████▏    | 33/63 [04:06<00:01, 16.52it/s]
ITERATION - loss: 1.81:  57%|█████▋    | 36/63 [04:07<00:01, 18.13it/s]
ITERATION - loss: 1.39:  62%|██████▏   | 39/63 [04:07<00:01, 18.65it/s]
ITERATION - loss: 2.07:  67%|██████▋   | 42/63 [04:07<00:01, 19.32it/s]
ITERATION - loss: 1.15:  71%|███████▏  | 45/63 [04:07<00:00, 19.14it/s]
ITERATION - loss: 1.25:  76%|███████▌  | 48/63 [04:07<00:00, 19.75it/s]
ITERATION - loss: 1.39:  81%|████████  | 51/63 [04:07<00:00, 20.32it/s]
ITERATION - loss: 1.22:  86%|████████▌ | 54/63 [04:07<00:00, 20.94it/s]
ITERATION - loss: 3.14:  90%|█████████ | 57/63 [04:08<00:00, 21.83it/s]
ITERATION - loss: 4.35:  95%|█████████▌| 60/63 [04:08<00:00, 21.22it/s]
ITERATION - loss: 0.72: 100%|██████████| 63/63 [04:08<00:00, 21.80it/s]
ITERATION - loss: 0.72: 100%|██████████| 63/63 [04:08<00:00, 21.80it/s]
                                                                       

Training Results - Epoch: 36 Metrics: mse: 1.397, avep: 0.934, top5: 0.940, frac_mc: 0.879, top1: 0.972, mae: 0.839, loss: 1.397

ITERATION - loss: 0.72:   0%|          | 0/63 [04:11<00:02, 21.80it/s]
                                                                      

Validation Results - Epoch: 36 Metrics: mse: 1.627, avep: 0.929, top5: 0.935, frac_mc: 0.871, top1: 0.972, mae: 0.873, loss: 1.627

ITERATION - loss: 0.72:   0%|          | 0/63 [04:12<00:02, 21.80it/s]
ITERATION - loss: 1.68:   5%|▍         | 3/63 [04:12<00:27,  2.20it/s]
ITERATION - loss: 0.83:  10%|▉         | 6/63 [04:12<00:19,  3.00it/s]
ITERATION - loss: 1.77:  14%|█▍        | 9/63 [04:12<00:13,  4.05it/s]
ITERATION - loss: 1.92:  19%|█▉        | 12/63 [04:12<00:09,  5.37it/s]
ITERATION - loss: 1.21:  24%|██▍       | 15/63 [04:13<00:06,  6.96it/s]
ITERATION - loss: 1.51:  29%|██▊       | 18/63 [04:13<00:05,  8.54it/s]
ITERATION - loss: 1.60:  33%|███▎      | 21/63 [04:13<00:04, 10.28it/s]
ITERATION - loss: 2.95:  37%|███▋      | 23/63 [04:13<00:03, 11.84it/s]
ITERATION - loss: 0.87:  41%|████▏     | 26/63 [04:13<00:02, 13.65it/s]
ITERATION - loss: 1.82:  46%|████▌     | 29/63 [04:13<00:02, 14.88it/s]
ITERATION - loss: 1.30:  51%|█████     | 32/63 [04:13<00:01, 16.82it/s]
ITERATION - loss: 1.65:  56%|█████▌    | 35/63 [04:14<00:01, 18.63it/s]
ITERATION - loss: 1.38:  60%|██████    | 38/63 [04:14<00:01, 18.84it/s]
ITERATION - loss: 3.04:  65%|██████▌   | 41/63 [04:14<00:01, 18.78it/s]
ITERATION - loss: 0.92:  70%|██████▉   | 44/63 [04:14<00:01, 17.63it/s]
ITERATION - loss: 2.68:  73%|███████▎  | 46/63 [04:14<00:00, 18.10it/s]
ITERATION - loss: 2.15:  76%|███████▌  | 48/63 [04:14<00:00, 16.86it/s]
ITERATION - loss: 1.35:  81%|████████  | 51/63 [04:14<00:00, 18.31it/s]
ITERATION - loss: 0.77:  86%|████████▌ | 54/63 [04:15<00:00, 19.37it/s]
ITERATION - loss: 1.47:  90%|█████████ | 57/63 [04:15<00:00, 20.37it/s]
ITERATION - loss: 0.86:  95%|█████████▌| 60/63 [04:15<00:00, 21.48it/s]
ITERATION - loss: 0.95: 100%|██████████| 63/63 [04:15<00:00, 22.54it/s]
ITERATION - loss: 0.95: 100%|██████████| 63/63 [04:15<00:00, 22.54it/s]
                                                                       

Training Results - Epoch: 37 Metrics: mse: 1.541, avep: 0.936, top5: 0.942, frac_mc: 0.881, top1: 0.975, mae: 0.874, loss: 1.541

ITERATION - loss: 0.95:   0%|          | 0/63 [04:18<00:02, 22.54it/s]
                                                                      

Validation Results - Epoch: 37 Metrics: mse: 1.825, avep: 0.933, top5: 0.938, frac_mc: 0.875, top1: 0.976, mae: 0.928, loss: 1.825

ITERATION - loss: 0.95:   0%|          | 0/63 [04:19<00:02, 22.54it/s]
ITERATION - loss: 1.09:   5%|▍         | 3/63 [04:19<00:26,  2.23it/s]
ITERATION - loss: 1.52:  10%|▉         | 6/63 [04:19<00:18,  3.03it/s]
ITERATION - loss: 1.40:  14%|█▍        | 9/63 [04:19<00:13,  4.09it/s]
ITERATION - loss: 1.40:  17%|█▋        | 11/63 [04:20<00:09,  5.37it/s]
ITERATION - loss: 1.46:  21%|██        | 13/63 [04:20<00:07,  6.84it/s]
ITERATION - loss: 0.68:  25%|██▌       | 16/63 [04:20<00:05,  8.74it/s]
ITERATION - loss: 1.11:  30%|███       | 19/63 [04:20<00:04, 10.71it/s]
ITERATION - loss: 2.26:  35%|███▍      | 22/63 [04:20<00:03, 12.33it/s]
ITERATION - loss: 0.47:  40%|███▉      | 25/63 [04:20<00:02, 13.33it/s]
ITERATION - loss: 1.33:  43%|████▎     | 27/63 [04:20<00:02, 14.60it/s]
ITERATION - loss: 2.01:  48%|████▊     | 30/63 [04:20<00:02, 16.44it/s]
ITERATION - loss: 3.95:  52%|█████▏    | 33/63 [04:21<00:01, 17.43it/s]
ITERATION - loss: 2.42:  57%|█████▋    | 36/63 [04:21<00:01, 18.78it/s]
ITERATION - loss: 1.53:  62%|██████▏   | 39/63 [04:21<00:01, 20.06it/s]
ITERATION - loss: 1.52:  67%|██████▋   | 42/63 [04:21<00:01, 19.71it/s]
ITERATION - loss: 2.27:  71%|███████▏  | 45/63 [04:21<00:00, 21.22it/s]
ITERATION - loss: 2.49:  76%|███████▌  | 48/63 [04:21<00:00, 22.36it/s]
ITERATION - loss: 1.18:  81%|████████  | 51/63 [04:21<00:00, 21.43it/s]
ITERATION - loss: 1.20:  86%|████████▌ | 54/63 [04:22<00:00, 22.69it/s]
ITERATION - loss: 2.04:  90%|█████████ | 57/63 [04:22<00:00, 21.62it/s]
ITERATION - loss: 1.45:  95%|█████████▌| 60/63 [04:22<00:00, 22.06it/s]
ITERATION - loss: 1.86: 100%|██████████| 63/63 [04:22<00:00, 22.23it/s]
ITERATION - loss: 1.86: 100%|██████████| 63/63 [04:22<00:00, 22.23it/s]
                                                                       

Training Results - Epoch: 38 Metrics: mse: 1.613, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.974, mae: 0.935, loss: 1.613

ITERATION - loss: 1.86:   0%|          | 0/63 [04:25<00:02, 22.23it/s]
                                                                      

Validation Results - Epoch: 38 Metrics: mse: 1.814, avep: 0.931, top5: 0.936, frac_mc: 0.873, top1: 0.974, mae: 0.973, loss: 1.814

ITERATION - loss: 1.86:   0%|          | 0/63 [04:26<00:02, 22.23it/s]
ITERATION - loss: 1.88:   5%|▍         | 3/63 [04:26<00:26,  2.25it/s]
ITERATION - loss: 1.40:  10%|▉         | 6/63 [04:26<00:18,  3.08it/s]
ITERATION - loss: 2.30:  14%|█▍        | 9/63 [04:26<00:13,  4.13it/s]
ITERATION - loss: 3.87:  19%|█▉        | 12/63 [04:26<00:09,  5.52it/s]
ITERATION - loss: 1.81:  24%|██▍       | 15/63 [04:27<00:06,  7.19it/s]
ITERATION - loss: 1.58:  29%|██▊       | 18/63 [04:27<00:05,  8.79it/s]
ITERATION - loss: 2.82:  33%|███▎      | 21/63 [04:27<00:03, 10.50it/s]
ITERATION - loss: 1.25:  38%|███▊      | 24/63 [04:27<00:03, 12.13it/s]
ITERATION - loss: 1.50:  43%|████▎     | 27/63 [04:27<00:02, 14.33it/s]
ITERATION - loss: 1.44:  48%|████▊     | 30/63 [04:27<00:02, 15.37it/s]
ITERATION - loss: 0.70:  52%|█████▏    | 33/63 [04:27<00:01, 17.27it/s]
ITERATION - loss: 1.19:  57%|█████▋    | 36/63 [04:28<00:01, 18.45it/s]
ITERATION - loss: 0.80:  62%|██████▏   | 39/63 [04:28<00:01, 20.20it/s]
ITERATION - loss: 1.01:  67%|██████▋   | 42/63 [04:28<00:01, 20.72it/s]
ITERATION - loss: 3.85:  71%|███████▏  | 45/63 [04:28<00:00, 20.14it/s]
ITERATION - loss: 1.05:  76%|███████▌  | 48/63 [04:28<00:00, 20.96it/s]
ITERATION - loss: 0.99:  81%|████████  | 51/63 [04:28<00:00, 20.67it/s]
ITERATION - loss: 2.20:  86%|████████▌ | 54/63 [04:28<00:00, 21.20it/s]
ITERATION - loss: 2.29:  90%|█████████ | 57/63 [04:29<00:00, 20.43it/s]
ITERATION - loss: 1.21:  95%|█████████▌| 60/63 [04:29<00:00, 21.25it/s]
ITERATION - loss: 1.40: 100%|██████████| 63/63 [04:29<00:00, 22.47it/s]
ITERATION - loss: 1.40: 100%|██████████| 63/63 [04:29<00:00, 22.47it/s]
                                                                       
Training Results - Epoch: 39 Metrics: mse: 1.657, avep: 0.936, top5: 0.944, frac_mc: 0.880, top1: 0.973, mae: 0.861, loss: 1.657


ITERATION - loss: 1.40:   0%|          | 0/63 [04:32<00:02, 22.47it/s]
                                                                      

Validation Results - Epoch: 39 Metrics: mse: 1.880, avep: 0.932, top5: 0.938, frac_mc: 0.873, top1: 0.976, mae: 0.889, loss: 1.880

ITERATION - loss: 1.40:   0%|          | 0/63 [04:33<00:02, 22.47it/s]
ITERATION - loss: 1.27:   5%|▍         | 3/63 [04:33<00:26,  2.24it/s]
ITERATION - loss: 1.41:  10%|▉         | 6/63 [04:33<00:18,  3.07it/s]
ITERATION - loss: 2.99:  14%|█▍        | 9/63 [04:33<00:12,  4.18it/s]
ITERATION - loss: 3.07:  19%|█▉        | 12/63 [04:33<00:09,  5.47it/s]
ITERATION - loss: 1.66:  24%|██▍       | 15/63 [04:34<00:06,  7.09it/s]
ITERATION - loss: 1.73:  29%|██▊       | 18/63 [04:34<00:05,  8.92it/s]
ITERATION - loss: 1.63:  33%|███▎      | 21/63 [04:34<00:03, 11.08it/s]
ITERATION - loss: 1.14:  38%|███▊      | 24/63 [04:34<00:02, 13.24it/s]
ITERATION - loss: 1.41:  43%|████▎     | 27/63 [04:34<00:02, 14.95it/s]
ITERATION - loss: 1.22:  48%|████▊     | 30/63 [04:34<00:01, 16.50it/s]
ITERATION - loss: 1.18:  52%|█████▏    | 33/63 [04:34<00:01, 17.01it/s]
ITERATION - loss: 1.75:  57%|█████▋    | 36/63 [04:34<00:01, 18.64it/s]
ITERATION - loss: 0.73:  62%|██████▏   | 39/63 [04:35<00:01, 17.88it/s]
ITERATION - loss: 1.09:  67%|██████▋   | 42/63 [04:35<00:01, 18.11it/s]
ITERATION - loss: 2.92:  70%|██████▉   | 44/63 [04:35<00:01, 16.98it/s]
ITERATION - loss: 1.13:  75%|███████▍  | 47/63 [04:35<00:00, 18.68it/s]
ITERATION - loss: 1.56:  79%|███████▉  | 50/63 [04:35<00:00, 19.91it/s]
ITERATION - loss: 0.93:  84%|████████▍ | 53/63 [04:35<00:00, 20.51it/s]
ITERATION - loss: 1.65:  89%|████████▉ | 56/63 [04:35<00:00, 21.99it/s]
ITERATION - loss: 1.38:  94%|█████████▎| 59/63 [04:36<00:00, 21.93it/s]
ITERATION - loss: 0.89:  98%|█████████▊| 62/63 [04:36<00:00, 21.37it/s]
ITERATION - loss: 1.18: 100%|██████████| 63/63 [04:36<00:00, 21.37it/s]
                                                                       

Training Results - Epoch: 40 Metrics: mse: 1.557, avep: 0.934, top5: 0.940, frac_mc: 0.878, top1: 0.973, mae: 0.866, loss: 1.557

ITERATION - loss: 1.18:   0%|          | 0/63 [04:39<00:02, 21.37it/s]
                                                                      

Validation Results - Epoch: 40 Metrics: mse: 1.730, avep: 0.928, top5: 0.933, frac_mc: 0.870, top1: 0.966, mae: 0.887, loss: 1.730

ITERATION - loss: 1.18:   0%|          | 0/63 [04:40<00:02, 21.37it/s]
ITERATION - loss: 1.56:   5%|▍         | 3/63 [04:40<00:26,  2.23it/s]
ITERATION - loss: 1.50:   8%|▊         | 5/63 [04:40<00:19,  3.01it/s]
ITERATION - loss: 1.19:  13%|█▎        | 8/63 [04:40<00:13,  4.10it/s]
ITERATION - loss: 1.60:  17%|█▋        | 11/63 [04:40<00:09,  5.28it/s]
ITERATION - loss: 1.88:  22%|██▏       | 14/63 [04:40<00:07,  6.88it/s]
ITERATION - loss: 1.48:  27%|██▋       | 17/63 [04:41<00:05,  8.84it/s]
ITERATION - loss: 1.42:  32%|███▏      | 20/63 [04:41<00:04, 10.67it/s]
ITERATION - loss: 1.68:  37%|███▋      | 23/63 [04:41<00:03, 12.85it/s]
ITERATION - loss: 2.01:  41%|████▏     | 26/63 [04:41<00:02, 14.42it/s]
ITERATION - loss: 1.75:  46%|████▌     | 29/63 [04:41<00:02, 16.43it/s]
ITERATION - loss: 0.82:  51%|█████     | 32/63 [04:41<00:01, 18.06it/s]
ITERATION - loss: 1.34:  56%|█████▌    | 35/63 [04:41<00:01, 18.89it/s]
ITERATION - loss: 2.56:  60%|██████    | 38/63 [04:41<00:01, 20.05it/s]
ITERATION - loss: 1.41:  65%|██████▌   | 41/63 [04:42<00:01, 20.15it/s]
ITERATION - loss: 2.75:  70%|██████▉   | 44/63 [04:42<00:00, 21.21it/s]
ITERATION - loss: 2.69:  75%|███████▍  | 47/63 [04:42<00:00, 22.02it/s]
ITERATION - loss: 0.96:  79%|███████▉  | 50/63 [04:42<00:00, 21.72it/s]
ITERATION - loss: 1.24:  84%|████████▍ | 53/63 [04:42<00:00, 22.17it/s]
ITERATION - loss: 0.90:  89%|████████▉ | 56/63 [04:42<00:00, 20.83it/s]
ITERATION - loss: 0.89:  94%|█████████▎| 59/63 [04:42<00:00, 21.45it/s]
ITERATION - loss: 3.51:  98%|█████████▊| 62/63 [04:43<00:00, 22.29it/s]
ITERATION - loss: 0.71: 100%|██████████| 63/63 [04:43<00:00, 22.29it/s]
                                                                       

Training Results - Epoch: 41 Metrics: mse: 1.379, avep: 0.935, top5: 0.942, frac_mc: 0.880, top1: 0.972, mae: 0.834, loss: 1.379

ITERATION - loss: 0.71:   0%|          | 0/63 [04:46<00:02, 22.29it/s]
                                                                      
Validation Results - Epoch: 41 Metrics: mse: 1.628, avep: 0.931, top5: 0.937, frac_mc: 0.871, top1: 0.968, mae: 0.878, loss: 1.628


ITERATION - loss: 0.71:   0%|          | 0/63 [04:47<00:02, 22.29it/s]
ITERATION - loss: 0.99:   5%|▍         | 3/63 [04:47<00:26,  2.24it/s]
ITERATION - loss: 2.97:  10%|▉         | 6/63 [04:47<00:18,  3.08it/s]
ITERATION - loss: 1.61:  14%|█▍        | 9/63 [04:47<00:13,  4.14it/s]
ITERATION - loss: 2.21:  19%|█▉        | 12/63 [04:47<00:09,  5.49it/s]
ITERATION - loss: 1.29:  24%|██▍       | 15/63 [04:47<00:06,  7.13it/s]
ITERATION - loss: 0.79:  29%|██▊       | 18/63 [04:47<00:05,  8.94it/s]
ITERATION - loss: 1.73:  33%|███▎      | 21/63 [04:47<00:03, 11.21it/s]
ITERATION - loss: 0.98:  38%|███▊      | 24/63 [04:48<00:03, 12.89it/s]
ITERATION - loss: 1.31:  43%|████▎     | 27/63 [04:48<00:02, 15.01it/s]
ITERATION - loss: 1.28:  48%|████▊     | 30/63 [04:48<00:01, 16.97it/s]
ITERATION - loss: 0.86:  52%|█████▏    | 33/63 [04:48<00:01, 17.60it/s]
ITERATION - loss: 1.27:  57%|█████▋    | 36/63 [04:48<00:01, 18.93it/s]
ITERATION - loss: 1.23:  62%|██████▏   | 39/63 [04:48<00:01, 18.38it/s]
ITERATION - loss: 1.38:  67%|██████▋   | 42/63 [04:48<00:01, 19.46it/s]
ITERATION - loss: 1.67:  71%|███████▏  | 45/63 [04:49<00:00, 19.98it/s]
ITERATION - loss: 1.20:  76%|███████▌  | 48/63 [04:49<00:00, 20.18it/s]
ITERATION - loss: 2.14:  81%|████████  | 51/63 [04:49<00:00, 20.64it/s]
ITERATION - loss: 1.72:  86%|████████▌ | 54/63 [04:49<00:00, 19.28it/s]
ITERATION - loss: 1.42:  90%|█████████ | 57/63 [04:49<00:00, 20.36it/s]
ITERATION - loss: 1.69:  95%|█████████▌| 60/63 [04:49<00:00, 20.38it/s]
ITERATION - loss: 1.68: 100%|██████████| 63/63 [04:49<00:00, 20.38it/s]
                                                                       

Training Results - Epoch: 42 Metrics: mse: 2.008, avep: 0.936, top5: 0.942, frac_mc: 0.880, top1: 0.974, mae: 1.052, loss: 2.008

ITERATION - loss: 1.68:   0%|          | 0/63 [04:53<00:03, 20.38it/s]
                                                                      

Validation Results - Epoch: 42 Metrics: mse: 2.254, avep: 0.932, top5: 0.939, frac_mc: 0.874, top1: 0.974, mae: 1.111, loss: 2.254

ITERATION - loss: 1.68:   0%|          | 0/63 [04:53<00:03, 20.38it/s]
ITERATION - loss: 1.18:   5%|▍         | 3/63 [04:54<00:27,  2.18it/s]
ITERATION - loss: 1.46:   8%|▊         | 5/63 [04:54<00:19,  2.97it/s]
ITERATION - loss: 1.23:  13%|█▎        | 8/63 [04:54<00:13,  4.00it/s]
ITERATION - loss: 1.53:  17%|█▋        | 11/63 [04:54<00:09,  5.28it/s]
ITERATION - loss: 1.23:  22%|██▏       | 14/63 [04:54<00:07,  6.85it/s]
ITERATION - loss: 2.51:  27%|██▋       | 17/63 [04:54<00:05,  8.69it/s]
ITERATION - loss: 1.79:  32%|███▏      | 20/63 [04:54<00:04, 10.39it/s]
ITERATION - loss: 1.29:  37%|███▋      | 23/63 [04:55<00:03, 12.00it/s]
ITERATION - loss: 2.20:  40%|███▉      | 25/63 [04:55<00:02, 13.64it/s]
ITERATION - loss: 0.71:  44%|████▍     | 28/63 [04:55<00:02, 15.91it/s]
ITERATION - loss: 1.53:  49%|████▉     | 31/63 [04:55<00:01, 17.30it/s]
ITERATION - loss: 1.35:  54%|█████▍    | 34/63 [04:55<00:01, 18.16it/s]
ITERATION - loss: 0.81:  59%|█████▊    | 37/63 [04:55<00:01, 19.52it/s]
ITERATION - loss: 1.01:  63%|██████▎   | 40/63 [04:55<00:01, 19.82it/s]
ITERATION - loss: 1.25:  68%|██████▊   | 43/63 [04:55<00:01, 19.99it/s]
ITERATION - loss: 1.34:  73%|███████▎  | 46/63 [04:56<00:00, 19.69it/s]
ITERATION - loss: 1.79:  78%|███████▊  | 49/63 [04:56<00:00, 20.91it/s]
ITERATION - loss: 1.48:  83%|████████▎ | 52/63 [04:56<00:00, 20.93it/s]
ITERATION - loss: 1.17:  87%|████████▋ | 55/63 [04:56<00:00, 19.93it/s]
ITERATION - loss: 0.92:  92%|█████████▏| 58/63 [04:56<00:00, 21.10it/s]
ITERATION - loss: 1.13:  97%|█████████▋| 61/63 [04:56<00:00, 20.74it/s]
ITERATION - loss: 2.03: 100%|██████████| 63/63 [04:56<00:00, 20.74it/s]
                                                                       

Training Results - Epoch: 43 Metrics: mse: 1.355, avep: 0.935, top5: 0.942, frac_mc: 0.879, top1: 0.972, mae: 0.809, loss: 1.355

ITERATION - loss: 2.03:   0%|          | 0/63 [05:00<00:03, 20.74it/s]
                                                                      

Validation Results - Epoch: 43 Metrics: mse: 1.555, avep: 0.930, top5: 0.936, frac_mc: 0.871, top1: 0.970, mae: 0.835, loss: 1.555

ITERATION - loss: 2.03:   0%|          | 0/63 [05:01<00:03, 20.74it/s]
ITERATION - loss: 1.32:   5%|▍         | 3/63 [05:01<00:28,  2.11it/s]
ITERATION - loss: 1.30:   8%|▊         | 5/63 [05:01<00:20,  2.89it/s]
ITERATION - loss: 1.84:  11%|█         | 7/63 [05:01<00:14,  3.86it/s]
ITERATION - loss: 1.54:  14%|█▍        | 9/63 [05:01<00:10,  5.09it/s]
ITERATION - loss: 1.35:  19%|█▉        | 12/63 [05:01<00:07,  6.67it/s]
ITERATION - loss: 1.19:  24%|██▍       | 15/63 [05:01<00:05,  8.58it/s]
ITERATION - loss: 1.76:  29%|██▊       | 18/63 [05:01<00:04, 10.45it/s]
ITERATION - loss: 1.89:  33%|███▎      | 21/63 [05:02<00:03, 12.45it/s]
ITERATION - loss: 1.95:  38%|███▊      | 24/63 [05:02<00:02, 13.92it/s]
ITERATION - loss: 0.78:  43%|████▎     | 27/63 [05:02<00:02, 16.27it/s]
ITERATION - loss: 1.07:  48%|████▊     | 30/63 [05:02<00:01, 18.22it/s]
ITERATION - loss: 1.15:  52%|█████▏    | 33/63 [05:02<00:01, 19.13it/s]
ITERATION - loss: 1.79:  57%|█████▋    | 36/63 [05:02<00:01, 20.37it/s]
ITERATION - loss: 1.10:  62%|██████▏   | 39/63 [05:02<00:01, 19.99it/s]
ITERATION - loss: 2.31:  67%|██████▋   | 42/63 [05:03<00:01, 20.06it/s]
ITERATION - loss: 0.96:  71%|███████▏  | 45/63 [05:03<00:00, 21.52it/s]
ITERATION - loss: 0.71:  76%|███████▌  | 48/63 [05:03<00:00, 20.58it/s]
ITERATION - loss: 0.96:  81%|████████  | 51/63 [05:03<00:00, 19.80it/s]
ITERATION - loss: 1.01:  86%|████████▌ | 54/63 [05:03<00:00, 19.83it/s]
ITERATION - loss: 1.68:  90%|█████████ | 57/63 [05:03<00:00, 20.52it/s]
ITERATION - loss: 1.28:  95%|█████████▌| 60/63 [05:03<00:00, 20.39it/s]
ITERATION - loss: 1.10: 100%|██████████| 63/63 [05:03<00:00, 20.39it/s]
                                                                       

Training Results - Epoch: 44 Metrics: mse: 1.381, avep: 0.934, top5: 0.941, frac_mc: 0.878, top1: 0.971, mae: 0.815, loss: 1.381

ITERATION - loss: 1.10:   0%|          | 0/63 [05:07<00:03, 20.39it/s]
                                                                      

Validation Results - Epoch: 44 Metrics: mse: 1.556, avep: 0.928, top5: 0.933, frac_mc: 0.870, top1: 0.970, mae: 0.837, loss: 1.556

ITERATION - loss: 1.10:   0%|          | 0/63 [05:07<00:03, 20.39it/s]
ITERATION - loss: 1.03:   5%|▍         | 3/63 [05:08<00:27,  2.22it/s]
ITERATION - loss: 1.34:   8%|▊         | 5/63 [05:08<00:19,  3.02it/s]
ITERATION - loss: 1.75:  13%|█▎        | 8/63 [05:08<00:13,  4.06it/s]
ITERATION - loss: 1.28:  17%|█▋        | 11/63 [05:08<00:09,  5.43it/s]
ITERATION - loss: 1.00:  21%|██        | 13/63 [05:08<00:07,  6.90it/s]
ITERATION - loss: 0.78:  25%|██▌       | 16/63 [05:08<00:05,  8.70it/s]
ITERATION - loss: 1.25:  30%|███       | 19/63 [05:08<00:04, 10.33it/s]
ITERATION - loss: 2.64:  35%|███▍      | 22/63 [05:08<00:03, 12.20it/s]
ITERATION - loss: 1.14:  40%|███▉      | 25/63 [05:09<00:02, 14.10it/s]
ITERATION - loss: 1.87:  44%|████▍     | 28/63 [05:09<00:02, 15.80it/s]
ITERATION - loss: 3.06:  49%|████▉     | 31/63 [05:09<00:01, 17.13it/s]
ITERATION - loss: 1.27:  54%|█████▍    | 34/63 [05:09<00:01, 17.28it/s]
ITERATION - loss: 0.78:  59%|█████▊    | 37/63 [05:09<00:01, 19.60it/s]
ITERATION - loss: 1.48:  63%|██████▎   | 40/63 [05:09<00:01, 20.70it/s]
ITERATION - loss: 1.26:  68%|██████▊   | 43/63 [05:09<00:00, 21.28it/s]
ITERATION - loss: 1.02:  73%|███████▎  | 46/63 [05:10<00:00, 22.44it/s]
ITERATION - loss: 1.23:  78%|███████▊  | 49/63 [05:10<00:00, 21.82it/s]
ITERATION - loss: 1.03:  83%|████████▎ | 52/63 [05:10<00:00, 23.10it/s]
ITERATION - loss: 0.73:  87%|████████▋ | 55/63 [05:10<00:00, 23.65it/s]
ITERATION - loss: 1.28:  92%|█████████▏| 58/63 [05:10<00:00, 22.64it/s]
ITERATION - loss: 0.62:  97%|█████████▋| 61/63 [05:10<00:00, 21.77it/s]
ITERATION - loss: 1.56: 100%|██████████| 63/63 [05:10<00:00, 21.77it/s]
                                                                       

Training Results - Epoch: 45 Metrics: mse: 1.370, avep: 0.933, top5: 0.941, frac_mc: 0.878, top1: 0.970, mae: 0.805, loss: 1.370

ITERATION - loss: 1.56:   0%|          | 0/63 [05:14<00:02, 21.77it/s]
                                                                      

Validation Results - Epoch: 45 Metrics: mse: 1.539, avep: 0.929, top5: 0.935, frac_mc: 0.871, top1: 0.968, mae: 0.829, loss: 1.539

ITERATION - loss: 1.56:   0%|          | 0/63 [05:14<00:02, 21.77it/s]
ITERATION - loss: 1.11:   5%|▍         | 3/63 [05:14<00:27,  2.19it/s]
ITERATION - loss: 0.88:  10%|▉         | 6/63 [05:15<00:18,  3.00it/s]
ITERATION - loss: 1.77:  13%|█▎        | 8/63 [05:15<00:13,  4.01it/s]
ITERATION - loss: 0.82:  17%|█▋        | 11/63 [05:15<00:09,  5.32it/s]
ITERATION - loss: 1.20:  22%|██▏       | 14/63 [05:15<00:07,  6.88it/s]
ITERATION - loss: 1.98:  27%|██▋       | 17/63 [05:15<00:05,  8.65it/s]
ITERATION - loss: 0.82:  32%|███▏      | 20/63 [05:15<00:04, 10.69it/s]
ITERATION - loss: 0.90:  37%|███▋      | 23/63 [05:15<00:03, 12.56it/s]
ITERATION - loss: 1.66:  41%|████▏     | 26/63 [05:16<00:02, 14.53it/s]
ITERATION - loss: 1.14:  46%|████▌     | 29/63 [05:16<00:02, 16.37it/s]
ITERATION - loss: 1.60:  51%|█████     | 32/63 [05:16<00:01, 17.40it/s]
ITERATION - loss: 0.91:  56%|█████▌    | 35/63 [05:16<00:01, 18.99it/s]
ITERATION - loss: 0.99:  60%|██████    | 38/63 [05:16<00:01, 19.50it/s]
ITERATION - loss: 2.22:  65%|██████▌   | 41/63 [05:16<00:01, 20.60it/s]
ITERATION - loss: 1.24:  70%|██████▉   | 44/63 [05:16<00:00, 21.50it/s]
ITERATION - loss: 1.04:  75%|███████▍  | 47/63 [05:16<00:00, 21.08it/s]
ITERATION - loss: 1.12:  79%|███████▉  | 50/63 [05:17<00:00, 22.05it/s]
ITERATION - loss: 1.52:  84%|████████▍ | 53/63 [05:17<00:00, 21.64it/s]
ITERATION - loss: 0.92:  89%|████████▉ | 56/63 [05:17<00:00, 22.46it/s]
ITERATION - loss: 0.68:  94%|█████████▎| 59/63 [05:17<00:00, 22.02it/s]
ITERATION - loss: 2.05:  98%|█████████▊| 62/63 [05:17<00:00, 21.32it/s]
ITERATION - loss: 0.87: 100%|██████████| 63/63 [05:17<00:00, 21.32it/s]
                                                                       

Training Results - Epoch: 46 Metrics: mse: 1.298, avep: 0.933, top5: 0.940, frac_mc: 0.878, top1: 0.970, mae: 0.806, loss: 1.298

ITERATION - loss: 0.87:   0%|          | 0/63 [05:20<00:02, 21.32it/s]
                                                                      

Validation Results - Epoch: 46 Metrics: mse: 1.520, avep: 0.928, top5: 0.933, frac_mc: 0.871, top1: 0.966, mae: 0.843, loss: 1.520

ITERATION - loss: 0.87:   0%|          | 0/63 [05:21<00:02, 21.32it/s]
ITERATION - loss: 1.48:   5%|▍         | 3/63 [05:21<00:27,  2.22it/s]
ITERATION - loss: 0.71:   8%|▊         | 5/63 [05:21<00:19,  3.02it/s]
ITERATION - loss: 1.13:  13%|█▎        | 8/63 [05:22<00:13,  4.10it/s]
ITERATION - loss: 0.81:  17%|█▋        | 11/63 [05:22<00:09,  5.42it/s]
ITERATION - loss: 0.95:  22%|██▏       | 14/63 [05:22<00:06,  7.07it/s]
ITERATION - loss: 1.39:  27%|██▋       | 17/63 [05:22<00:05,  8.96it/s]
ITERATION - loss: 0.89:  32%|███▏      | 20/63 [05:22<00:04, 10.68it/s]
ITERATION - loss: 0.93:  37%|███▋      | 23/63 [05:22<00:03, 12.76it/s]
ITERATION - loss: 1.70:  41%|████▏     | 26/63 [05:22<00:02, 14.70it/s]
ITERATION - loss: 1.17:  46%|████▌     | 29/63 [05:22<00:02, 16.65it/s]
ITERATION - loss: 1.58:  51%|█████     | 32/63 [05:23<00:01, 18.00it/s]
ITERATION - loss: 1.19:  56%|█████▌    | 35/63 [05:23<00:01, 18.64it/s]
ITERATION - loss: 1.01:  60%|██████    | 38/63 [05:23<00:01, 20.25it/s]
ITERATION - loss: 2.57:  65%|██████▌   | 41/63 [05:23<00:01, 20.43it/s]
ITERATION - loss: 0.99:  70%|██████▉   | 44/63 [05:23<00:00, 21.23it/s]
ITERATION - loss: 2.20:  75%|███████▍  | 47/63 [05:23<00:00, 21.65it/s]
ITERATION - loss: 1.33:  79%|███████▉  | 50/63 [05:23<00:00, 21.28it/s]
ITERATION - loss: 2.47:  84%|████████▍ | 53/63 [05:24<00:00, 22.14it/s]
ITERATION - loss: 1.88:  89%|████████▉ | 56/63 [05:24<00:00, 21.54it/s]
ITERATION - loss: 1.12:  94%|█████████▎| 59/63 [05:24<00:00, 22.44it/s]
ITERATION - loss: 1.81:  98%|█████████▊| 62/63 [05:24<00:00, 23.00it/s]
ITERATION - loss: 0.74: 100%|██████████| 63/63 [05:24<00:00, 23.00it/s]
                                                                       

Training Results - Epoch: 47 Metrics: mse: 1.319, avep: 0.934, top5: 0.940, frac_mc: 0.878, top1: 0.971, mae: 0.814, loss: 1.319

ITERATION - loss: 0.74:   0%|          | 0/63 [05:27<00:02, 23.00it/s]
                                                                      

Validation Results - Epoch: 47 Metrics: mse: 1.557, avep: 0.928, top5: 0.935, frac_mc: 0.871, top1: 0.964, mae: 0.853, loss: 1.557

ITERATION - loss: 0.74:   0%|          | 0/63 [05:28<00:02, 23.00it/s]
ITERATION - loss: 1.77:   5%|▍         | 3/63 [05:28<00:27,  2.21it/s]
ITERATION - loss: 1.11:  10%|▉         | 6/63 [05:28<00:18,  3.04it/s]
ITERATION - loss: 0.84:  13%|█▎        | 8/63 [05:28<00:13,  4.06it/s]
ITERATION - loss: 0.89:  17%|█▋        | 11/63 [05:29<00:09,  5.37it/s]
ITERATION - loss: 0.97:  22%|██▏       | 14/63 [05:29<00:07,  6.97it/s]
ITERATION - loss: 0.87:  27%|██▋       | 17/63 [05:29<00:05,  8.61it/s]
ITERATION - loss: 2.05:  32%|███▏      | 20/63 [05:29<00:04, 10.64it/s]
ITERATION - loss: 1.96:  37%|███▋      | 23/63 [05:29<00:03, 12.66it/s]
ITERATION - loss: 1.31:  41%|████▏     | 26/63 [05:29<00:02, 14.71it/s]
ITERATION - loss: 1.82:  46%|████▌     | 29/63 [05:29<00:02, 16.76it/s]
ITERATION - loss: 1.04:  51%|█████     | 32/63 [05:29<00:01, 17.65it/s]
ITERATION - loss: 0.81:  56%|█████▌    | 35/63 [05:30<00:01, 19.22it/s]
ITERATION - loss: 2.03:  60%|██████    | 38/63 [05:30<00:01, 19.96it/s]
ITERATION - loss: 0.81:  65%|██████▌   | 41/63 [05:30<00:01, 20.62it/s]
ITERATION - loss: 0.86:  70%|██████▉   | 44/63 [05:30<00:01, 18.41it/s]
ITERATION - loss: 0.78:  75%|███████▍  | 47/63 [05:30<00:00, 19.13it/s]
ITERATION - loss: 1.20:  79%|███████▉  | 50/63 [05:30<00:00, 20.75it/s]
ITERATION - loss: 2.03:  84%|████████▍ | 53/63 [05:30<00:00, 20.46it/s]
ITERATION - loss: 2.32:  89%|████████▉ | 56/63 [05:31<00:00, 18.42it/s]
ITERATION - loss: 1.41:  94%|█████████▎| 59/63 [05:31<00:00, 19.79it/s]
ITERATION - loss: 1.19:  98%|█████████▊| 62/63 [05:31<00:00, 20.85it/s]
ITERATION - loss: 1.64: 100%|██████████| 63/63 [05:31<00:00, 20.85it/s]
Training Results - Epoch: 48 Metrics: mse: 1.291, avep: 0.933, top5: 0.940, frac_mc: 0.876, top1: 0.970, mae: 0.796, loss: 1.291

                                                                       

ITERATION - loss: 1.64:   0%|          | 0/63 [05:34<00:03, 20.85it/s]
                                                                      

ITERATION - loss: 1.64:   0%|          | 0/63 [05:35<00:03, 20.85it/s]
Validation Results - Epoch: 48 Metrics: mse: 1.467, avep: 0.927, top5: 0.930, frac_mc: 0.869, top1: 0.966, mae: 0.823, loss: 1.467

ITERATION - loss: 1.92:   5%|▍         | 3/63 [05:35<00:26,  2.23it/s]
ITERATION - loss: 1.38:  10%|▉         | 6/63 [05:35<00:18,  3.05it/s]
ITERATION - loss: 1.14:  14%|█▍        | 9/63 [05:35<00:13,  4.09it/s]
ITERATION - loss: 1.07:  19%|█▉        | 12/63 [05:35<00:09,  5.44it/s]
ITERATION - loss: 1.13:  24%|██▍       | 15/63 [05:36<00:06,  7.08it/s]
ITERATION - loss: 1.28:  29%|██▊       | 18/63 [05:36<00:05,  8.72it/s]
ITERATION - loss: 0.88:  33%|███▎      | 21/63 [05:36<00:03, 10.79it/s]
ITERATION - loss: 0.93:  38%|███▊      | 24/63 [05:36<00:03, 12.28it/s]
ITERATION - loss: 1.02:  43%|████▎     | 27/63 [05:36<00:02, 14.25it/s]
ITERATION - loss: 1.47:  48%|████▊     | 30/63 [05:36<00:02, 16.11it/s]
ITERATION - loss: 0.97:  52%|█████▏    | 33/63 [05:36<00:01, 16.84it/s]
ITERATION - loss: 1.41:  57%|█████▋    | 36/63 [05:37<00:01, 18.13it/s]
ITERATION - loss: 1.30:  62%|██████▏   | 39/63 [05:37<00:01, 18.17it/s]
ITERATION - loss: 1.13:  67%|██████▋   | 42/63 [05:37<00:01, 19.81it/s]
ITERATION - loss: 1.43:  71%|███████▏  | 45/63 [05:37<00:00, 19.81it/s]
ITERATION - loss: 1.77:  76%|███████▌  | 48/63 [05:37<00:00, 21.41it/s]
ITERATION - loss: 0.59:  81%|████████  | 51/63 [05:37<00:00, 22.73it/s]
ITERATION - loss: 1.10:  86%|████████▌ | 54/63 [05:37<00:00, 21.83it/s]
ITERATION - loss: 0.98:  90%|█████████ | 57/63 [05:38<00:00, 21.55it/s]
ITERATION - loss: 1.03:  95%|█████████▌| 60/63 [05:38<00:00, 21.44it/s]
ITERATION - loss: 1.06: 100%|██████████| 63/63 [05:38<00:00, 21.44it/s]
                                                                       

Training Results - Epoch: 49 Metrics: mse: 1.339, avep: 0.933, top5: 0.940, frac_mc: 0.878, top1: 0.969, mae: 0.830, loss: 1.339

ITERATION - loss: 1.06:   0%|          | 0/63 [05:41<00:02, 21.44it/s]
                                                                      

Validation Results - Epoch: 49 Metrics: mse: 1.582, avep: 0.928, top5: 0.932, frac_mc: 0.870, top1: 0.966, mae: 0.872, loss: 1.582

ITERATION - loss: 1.06:   0%|          | 0/63 [05:42<00:02, 21.44it/s]
ITERATION - loss: 0.87:   5%|▍         | 3/63 [05:42<00:28,  2.11it/s]
ITERATION - loss: 0.62:  10%|▉         | 6/63 [05:42<00:19,  2.91it/s]
ITERATION - loss: 2.38:  14%|█▍        | 9/63 [05:42<00:13,  3.90it/s]
ITERATION - loss: 0.80:  19%|█▉        | 12/63 [05:43<00:09,  5.20it/s]
ITERATION - loss: 1.04:  24%|██▍       | 15/63 [05:43<00:07,  6.81it/s]
ITERATION - loss: 0.96:  29%|██▊       | 18/63 [05:43<00:05,  8.44it/s]
ITERATION - loss: 1.19:  33%|███▎      | 21/63 [05:43<00:04,  9.95it/s]
ITERATION - loss: 2.19:  37%|███▋      | 23/63 [05:43<00:03, 11.71it/s]
ITERATION - loss: 1.37:  41%|████▏     | 26/63 [05:43<00:02, 13.83it/s]
ITERATION - loss: 2.07:  46%|████▌     | 29/63 [05:43<00:02, 16.11it/s]
ITERATION - loss: 2.01:  51%|█████     | 32/63 [05:43<00:01, 16.95it/s]
ITERATION - loss: 0.91:  56%|█████▌    | 35/63 [05:44<00:01, 18.37it/s]
ITERATION - loss: 1.02:  60%|██████    | 38/63 [05:44<00:01, 19.11it/s]
ITERATION - loss: 2.07:  65%|██████▌   | 41/63 [05:44<00:01, 20.27it/s]
ITERATION - loss: 0.98:  70%|██████▉   | 44/63 [05:44<00:00, 19.94it/s]
ITERATION - loss: 1.46:  75%|███████▍  | 47/63 [05:44<00:00, 19.73it/s]
ITERATION - loss: 0.96:  79%|███████▉  | 50/63 [05:44<00:00, 19.49it/s]
ITERATION - loss: 1.01:  84%|████████▍ | 53/63 [05:45<00:00, 19.13it/s]
ITERATION - loss: 2.38:  87%|████████▋ | 55/63 [05:45<00:00, 19.21it/s]
ITERATION - loss: 0.94:  90%|█████████ | 57/63 [05:45<00:00, 19.06it/s]
ITERATION - loss: 1.04:  95%|█████████▌| 60/63 [05:45<00:00, 20.65it/s]
ITERATION - loss: 0.63: 100%|██████████| 63/63 [05:45<00:00, 22.62it/s]
ITERATION - loss: 0.63: 100%|██████████| 63/63 [05:45<00:00, 22.62it/s]
Training Results - Epoch: 50 Metrics: mse: 1.267, avep: 0.933, top5: 0.939, frac_mc: 0.877, top1: 0.969, mae: 0.808, loss: 1.267
                                                                       

ITERATION - loss: 0.63:   0%|          | 0/63 [05:48<00:02, 22.62it/s]
                                                                      
Validation Results - Epoch: 50 Metrics: mse: 1.496, avep: 0.927, top5: 0.931, frac_mc: 0.870, top1: 0.966, mae: 0.850, loss: 1.496

ITERATION - loss: 0.63:   0%|          | 0/63 [05:49<00:02, 22.62it/s]
ITERATION - loss: 1.15:   5%|▍         | 3/63 [05:49<00:26,  2.24it/s]
ITERATION - loss: 1.34:  10%|▉         | 6/63 [05:49<00:18,  3.08it/s]
ITERATION - loss: 1.50:  14%|█▍        | 9/63 [05:49<00:13,  4.13it/s]
ITERATION - loss: 1.06:  19%|█▉        | 12/63 [05:50<00:09,  5.46it/s]
ITERATION - loss: 1.94:  24%|██▍       | 15/63 [05:50<00:06,  7.14it/s]
ITERATION - loss: 1.04:  29%|██▊       | 18/63 [05:50<00:05,  8.80it/s]
ITERATION - loss: 1.61:  33%|███▎      | 21/63 [05:50<00:04, 10.36it/s]
ITERATION - loss: 1.19:  37%|███▋      | 23/63 [05:50<00:03, 11.63it/s]
ITERATION - loss: 0.78:  41%|████▏     | 26/63 [05:50<00:02, 13.63it/s]
ITERATION - loss: 1.34:  46%|████▌     | 29/63 [05:50<00:02, 15.45it/s]
ITERATION - loss: 0.85:  51%|█████     | 32/63 [05:50<00:01, 17.57it/s]
ITERATION - loss: 1.12:  56%|█████▌    | 35/63 [05:51<00:01, 19.07it/s]
ITERATION - loss: 1.59:  60%|██████    | 38/63 [05:51<00:01, 17.96it/s]
ITERATION - loss: 0.82:  65%|██████▌   | 41/63 [05:51<00:01, 19.48it/s]
ITERATION - loss: 0.93:  70%|██████▉   | 44/63 [05:51<00:00, 20.01it/s]
ITERATION - loss: 1.03:  75%|███████▍  | 47/63 [05:51<00:00, 21.27it/s]
ITERATION - loss: 0.91:  79%|███████▉  | 50/63 [05:51<00:00, 21.26it/s]
ITERATION - loss: 2.37:  84%|████████▍ | 53/63 [05:51<00:00, 20.88it/s]
ITERATION - loss: 0.97:  89%|████████▉ | 56/63 [05:52<00:00, 21.74it/s]
ITERATION - loss: 1.19:  94%|█████████▎| 59/63 [05:52<00:00, 21.17it/s]
ITERATION - loss: 1.22:  98%|█████████▊| 62/63 [05:52<00:00, 22.57it/s]
ITERATION - loss: 0.57: 100%|██████████| 63/63 [05:52<00:00, 22.57it/s]
                                                                       
Training Results - Epoch: 51 Metrics: mse: 1.272, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.971, mae: 0.799, loss: 1.272

ITERATION - loss: 0.57:   0%|          | 0/63 [05:55<00:02, 22.57it/s]
                                                                      

Validation Results - Epoch: 51 Metrics: mse: 1.478, avep: 0.925, top5: 0.929, frac_mc: 0.868, top1: 0.966, mae: 0.832, loss: 1.478

ITERATION - loss: 0.57:   0%|          | 0/63 [05:56<00:02, 22.57it/s]
ITERATION - loss: 1.17:   5%|▍         | 3/63 [05:56<00:27,  2.16it/s]
ITERATION - loss: 1.62:   8%|▊         | 5/63 [05:56<00:19,  2.94it/s]
ITERATION - loss: 0.87:  13%|█▎        | 8/63 [05:56<00:13,  3.94it/s]
ITERATION - loss: 1.31:  17%|█▋        | 11/63 [05:57<00:09,  5.24it/s]
ITERATION - loss: 1.11:  22%|██▏       | 14/63 [05:57<00:07,  6.72it/s]
ITERATION - loss: 1.27:  27%|██▋       | 17/63 [05:57<00:05,  8.50it/s]
ITERATION - loss: 0.96:  32%|███▏      | 20/63 [05:57<00:04, 10.56it/s]
ITERATION - loss: 0.55:  37%|███▋      | 23/63 [05:57<00:03, 12.29it/s]
ITERATION - loss: 1.08:  41%|████▏     | 26/63 [05:57<00:02, 14.66it/s]
ITERATION - loss: 0.91:  46%|████▌     | 29/63 [05:57<00:02, 16.93it/s]
ITERATION - loss: 1.46:  51%|█████     | 32/63 [05:57<00:01, 17.85it/s]
ITERATION - loss: 0.81:  56%|█████▌    | 35/63 [05:58<00:01, 19.37it/s]
ITERATION - loss: 3.34:  60%|██████    | 38/63 [05:58<00:01, 19.99it/s]
ITERATION - loss: 0.94:  65%|██████▌   | 41/63 [05:58<00:01, 20.68it/s]
ITERATION - loss: 1.29:  70%|██████▉   | 44/63 [05:58<00:00, 20.60it/s]
ITERATION - loss: 2.41:  75%|███████▍  | 47/63 [05:58<00:00, 21.59it/s]
ITERATION - loss: 0.57:  79%|███████▉  | 50/63 [05:58<00:00, 22.56it/s]
ITERATION - loss: 0.86:  84%|████████▍ | 53/63 [05:58<00:00, 21.95it/s]
ITERATION - loss: 1.11:  89%|████████▉ | 56/63 [05:59<00:00, 21.92it/s]
ITERATION - loss: 0.79:  94%|█████████▎| 59/63 [05:59<00:00, 21.02it/s]
ITERATION - loss: 1.43:  98%|█████████▊| 62/63 [05:59<00:00, 21.60it/s]
ITERATION - loss: 0.92: 100%|██████████| 63/63 [05:59<00:00, 21.60it/s]
                                                                       

Training Results - Epoch: 52 Metrics: mse: 1.269, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.972, mae: 0.817, loss: 1.269

ITERATION - loss: 0.92:   0%|          | 0/63 [06:02<00:02, 21.60it/s]
                                                                      

Validation Results - Epoch: 52 Metrics: mse: 1.458, avep: 0.927, top5: 0.930, frac_mc: 0.869, top1: 0.968, mae: 0.852, loss: 1.458

ITERATION - loss: 0.92:   0%|          | 0/63 [06:03<00:02, 21.60it/s]
ITERATION - loss: 1.01:   5%|▍         | 3/63 [06:03<00:27,  2.19it/s]
ITERATION - loss: 1.48:  10%|▉         | 6/63 [06:03<00:18,  3.02it/s]
ITERATION - loss: 1.45:  14%|█▍        | 9/63 [06:03<00:13,  4.08it/s]
ITERATION - loss: 1.75:  17%|█▋        | 11/63 [06:03<00:09,  5.35it/s]
ITERATION - loss: 1.50:  22%|██▏       | 14/63 [06:04<00:06,  7.02it/s]
ITERATION - loss: 1.10:  27%|██▋       | 17/63 [06:04<00:05,  8.80it/s]
ITERATION - loss: 1.08:  32%|███▏      | 20/63 [06:04<00:03, 10.90it/s]
ITERATION - loss: 0.82:  37%|███▋      | 23/63 [06:04<00:03, 12.86it/s]
ITERATION - loss: 2.70:  41%|████▏     | 26/63 [06:04<00:02, 14.27it/s]
ITERATION - loss: 0.80:  46%|████▌     | 29/63 [06:04<00:02, 16.28it/s]
ITERATION - loss: 1.01:  51%|█████     | 32/63 [06:04<00:01, 17.34it/s]
ITERATION - loss: 1.69:  56%|█████▌    | 35/63 [06:05<00:01, 18.83it/s]
ITERATION - loss: 1.34:  60%|██████    | 38/63 [06:05<00:01, 19.95it/s]
ITERATION - loss: 1.07:  65%|██████▌   | 41/63 [06:05<00:01, 20.52it/s]
ITERATION - loss: 1.08:  70%|██████▉   | 44/63 [06:05<00:00, 21.57it/s]
ITERATION - loss: 1.23:  75%|███████▍  | 47/63 [06:05<00:00, 20.32it/s]
ITERATION - loss: 1.21:  79%|███████▉  | 50/63 [06:05<00:00, 20.83it/s]
ITERATION - loss: 2.53:  84%|████████▍ | 53/63 [06:05<00:00, 21.48it/s]
ITERATION - loss: 1.09:  89%|████████▉ | 56/63 [06:05<00:00, 20.90it/s]
ITERATION - loss: 1.54:  94%|█████████▎| 59/63 [06:06<00:00, 21.57it/s]
ITERATION - loss: 1.31:  98%|█████████▊| 62/63 [06:06<00:00, 21.28it/s]
ITERATION - loss: 1.63: 100%|██████████| 63/63 [06:06<00:00, 21.28it/s]
                                                                       

Training Results - Epoch: 53 Metrics: mse: 1.234, avep: 0.932, top5: 0.938, frac_mc: 0.877, top1: 0.971, mae: 0.792, loss: 1.234

ITERATION - loss: 1.63:   0%|          | 0/63 [06:09<00:02, 21.28it/s]
                                                                      

Validation Results - Epoch: 53 Metrics: mse: 1.425, avep: 0.926, top5: 0.931, frac_mc: 0.869, top1: 0.966, mae: 0.825, loss: 1.425

ITERATION - loss: 1.63:   0%|          | 0/63 [06:10<00:02, 21.28it/s]
ITERATION - loss: 1.01:   5%|▍         | 3/63 [06:10<00:27,  2.21it/s]
ITERATION - loss: 1.05:   8%|▊         | 5/63 [06:10<00:19,  2.97it/s]
ITERATION - loss: 0.69:  13%|█▎        | 8/63 [06:10<00:13,  4.04it/s]
ITERATION - loss: 1.10:  17%|█▋        | 11/63 [06:10<00:09,  5.41it/s]
ITERATION - loss: 1.43:  22%|██▏       | 14/63 [06:10<00:07,  6.91it/s]
ITERATION - loss: 1.14:  27%|██▋       | 17/63 [06:11<00:05,  8.84it/s]
ITERATION - loss: 0.65:  32%|███▏      | 20/63 [06:11<00:04, 10.60it/s]
ITERATION - loss: 1.06:  37%|███▋      | 23/63 [06:11<00:03, 11.78it/s]
ITERATION - loss: 1.09:  40%|███▉      | 25/63 [06:11<00:03, 12.57it/s]
ITERATION - loss: 2.00:  44%|████▍     | 28/63 [06:11<00:02, 14.18it/s]
ITERATION - loss: 1.23:  49%|████▉     | 31/63 [06:11<00:01, 16.15it/s]
ITERATION - loss: 0.85:  54%|█████▍    | 34/63 [06:11<00:01, 16.70it/s]
ITERATION - loss: 1.37:  59%|█████▊    | 37/63 [06:12<00:01, 17.37it/s]
ITERATION - loss: 1.30:  62%|██████▏   | 39/63 [06:12<00:01, 17.86it/s]
ITERATION - loss: 1.60:  67%|██████▋   | 42/63 [06:12<00:01, 19.61it/s]
ITERATION - loss: 1.39:  71%|███████▏  | 45/63 [06:12<00:00, 21.26it/s]
ITERATION - loss: 1.05:  76%|███████▌  | 48/63 [06:12<00:00, 20.75it/s]
ITERATION - loss: 1.11:  81%|████████  | 51/63 [06:12<00:00, 21.47it/s]
ITERATION - loss: 0.64:  86%|████████▌ | 54/63 [06:12<00:00, 21.31it/s]
ITERATION - loss: 0.93:  90%|█████████ | 57/63 [06:13<00:00, 22.19it/s]
ITERATION - loss: 2.34:  95%|█████████▌| 60/63 [06:13<00:00, 21.10it/s]
ITERATION - loss: 1.73: 100%|██████████| 63/63 [06:13<00:00, 22.54it/s]
ITERATION - loss: 1.73: 100%|██████████| 63/63 [06:13<00:00, 22.54it/s]
                                                                       

Training Results - Epoch: 54 Metrics: mse: 1.261, avep: 0.933, top5: 0.940, frac_mc: 0.877, top1: 0.972, mae: 0.812, loss: 1.261

ITERATION - loss: 1.73:   0%|          | 0/63 [06:16<00:02, 22.54it/s]
Validation Results - Epoch: 54 Metrics: mse: 1.484, avep: 0.927, top5: 0.932, frac_mc: 0.869, top1: 0.964, mae: 0.856, loss: 1.484

                                                                      

ITERATION - loss: 1.73:   0%|          | 0/63 [06:17<00:02, 22.54it/s]
ITERATION - loss: 1.35:   5%|▍         | 3/63 [06:17<00:26,  2.29it/s]
ITERATION - loss: 1.35:   8%|▊         | 5/63 [06:17<00:18,  3.11it/s]
ITERATION - loss: 1.01:  11%|█         | 7/63 [06:17<00:13,  4.13it/s]
ITERATION - loss: 0.66:  16%|█▌        | 10/63 [06:17<00:09,  5.49it/s]
ITERATION - loss: 1.29:  21%|██        | 13/63 [06:17<00:06,  7.20it/s]
ITERATION - loss: 0.87:  25%|██▌       | 16/63 [06:17<00:05,  8.90it/s]
ITERATION - loss: 1.53:  30%|███       | 19/63 [06:18<00:03, 11.10it/s]
ITERATION - loss: 1.02:  35%|███▍      | 22/63 [06:18<00:03, 13.08it/s]
ITERATION - loss: 1.08:  40%|███▉      | 25/63 [06:18<00:02, 15.21it/s]
ITERATION - loss: 0.72:  44%|████▍     | 28/63 [06:18<00:02, 17.09it/s]
ITERATION - loss: 1.93:  49%|████▉     | 31/63 [06:18<00:01, 18.03it/s]
ITERATION - loss: 1.03:  54%|█████▍    | 34/63 [06:18<00:01, 18.67it/s]
ITERATION - loss: 1.32:  59%|█████▊    | 37/63 [06:18<00:01, 19.60it/s]
ITERATION - loss: 1.18:  63%|██████▎   | 40/63 [06:19<00:01, 20.27it/s]
ITERATION - loss: 0.79:  68%|██████▊   | 43/63 [06:19<00:00, 20.42it/s]
ITERATION - loss: 1.78:  73%|███████▎  | 46/63 [06:19<00:00, 20.39it/s]
ITERATION - loss: 1.30:  78%|███████▊  | 49/63 [06:19<00:00, 19.48it/s]
ITERATION - loss: 0.86:  83%|████████▎ | 52/63 [06:19<00:00, 19.90it/s]
ITERATION - loss: 0.90:  87%|████████▋ | 55/63 [06:19<00:00, 20.56it/s]
ITERATION - loss: 1.23:  92%|█████████▏| 58/63 [06:19<00:00, 19.93it/s]
ITERATION - loss: 1.83:  97%|█████████▋| 61/63 [06:20<00:00, 21.14it/s]
ITERATION - loss: 0.99: 100%|██████████| 63/63 [06:20<00:00, 21.14it/s]
Training Results - Epoch: 55 Metrics: mse: 1.205, avep: 0.933, top5: 0.939, frac_mc: 0.877, top1: 0.971, mae: 0.786, loss: 1.205

                                                                       

ITERATION - loss: 0.99:   0%|          | 0/63 [06:23<00:02, 21.14it/s]
Validation Results - Epoch: 55 Metrics: mse: 1.415, avep: 0.927, top5: 0.931, frac_mc: 0.870, top1: 0.966, mae: 0.822, loss: 1.415

                                                                      

ITERATION - loss: 0.99:   0%|          | 0/63 [06:24<00:02, 21.14it/s]
ITERATION - loss: 0.97:   5%|▍         | 3/63 [06:24<00:27,  2.15it/s]
ITERATION - loss: 2.83:  10%|▉         | 6/63 [06:24<00:19,  2.96it/s]
ITERATION - loss: 0.81:  13%|█▎        | 8/63 [06:24<00:13,  3.94it/s]
ITERATION - loss: 0.74:  17%|█▋        | 11/63 [06:24<00:09,  5.29it/s]
ITERATION - loss: 1.09:  22%|██▏       | 14/63 [06:24<00:07,  6.91it/s]
ITERATION - loss: 1.25:  27%|██▋       | 17/63 [06:24<00:05,  8.69it/s]
ITERATION - loss: 1.27:  32%|███▏      | 20/63 [06:25<00:04, 10.68it/s]
ITERATION - loss: 0.88:  37%|███▋      | 23/63 [06:25<00:03, 12.43it/s]
ITERATION - loss: 0.87:  41%|████▏     | 26/63 [06:25<00:02, 14.54it/s]
ITERATION - loss: 1.98:  46%|████▌     | 29/63 [06:25<00:02, 16.62it/s]
ITERATION - loss: 1.00:  51%|█████     | 32/63 [06:25<00:01, 17.56it/s]
ITERATION - loss: 1.40:  56%|█████▌    | 35/63 [06:25<00:01, 18.85it/s]
ITERATION - loss: 1.16:  60%|██████    | 38/63 [06:25<00:01, 19.41it/s]
ITERATION - loss: 0.93:  65%|██████▌   | 41/63 [06:26<00:01, 20.70it/s]
ITERATION - loss: 0.99:  70%|██████▉   | 44/63 [06:26<00:00, 22.07it/s]
ITERATION - loss: 0.66:  75%|███████▍  | 47/63 [06:26<00:00, 22.06it/s]
ITERATION - loss: 0.62:  79%|███████▉  | 50/63 [06:26<00:00, 22.27it/s]
ITERATION - loss: 0.71:  84%|████████▍ | 53/63 [06:26<00:00, 21.55it/s]
ITERATION - loss: 3.01:  89%|████████▉ | 56/63 [06:26<00:00, 21.26it/s]
ITERATION - loss: 1.45:  94%|█████████▎| 59/63 [06:26<00:00, 20.81it/s]
ITERATION - loss: 0.78:  98%|█████████▊| 62/63 [06:27<00:00, 21.95it/s]
ITERATION - loss: 0.74: 100%|██████████| 63/63 [06:27<00:00, 21.95it/s]
Training Results - Epoch: 56 Metrics: mse: 1.251, avep: 0.932, top5: 0.938, frac_mc: 0.877, top1: 0.969, mae: 0.782, loss: 1.251

                                                                       

ITERATION - loss: 0.74:   0%|          | 0/63 [06:30<00:02, 21.95it/s]
Validation Results - Epoch: 56 Metrics: mse: 1.441, avep: 0.926, top5: 0.929, frac_mc: 0.870, top1: 0.964, mae: 0.807, loss: 1.441

                                                                      

ITERATION - loss: 0.74:   0%|          | 0/63 [06:31<00:02, 21.95it/s]
ITERATION - loss: 1.24:   5%|▍         | 3/63 [06:31<00:27,  2.21it/s]
ITERATION - loss: 0.62:   8%|▊         | 5/63 [06:31<00:19,  2.99it/s]
ITERATION - loss: 2.32:  11%|█         | 7/63 [06:31<00:14,  3.93it/s]
ITERATION - loss: 0.74:  16%|█▌        | 10/63 [06:31<00:10,  5.18it/s]
ITERATION - loss: 1.37:  21%|██        | 13/63 [06:31<00:07,  6.72it/s]
ITERATION - loss: 0.82:  25%|██▌       | 16/63 [06:31<00:05,  8.63it/s]
ITERATION - loss: 0.78:  30%|███       | 19/63 [06:32<00:04, 10.36it/s]
ITERATION - loss: 1.32:  35%|███▍      | 22/63 [06:32<00:03, 11.99it/s]
ITERATION - loss: 1.47:  38%|███▊      | 24/63 [06:32<00:02, 13.40it/s]
ITERATION - loss: 1.45:  43%|████▎     | 27/63 [06:32<00:02, 15.31it/s]
ITERATION - loss: 1.47:  48%|████▊     | 30/63 [06:32<00:01, 17.25it/s]
ITERATION - loss: 0.85:  52%|█████▏    | 33/63 [06:32<00:01, 18.41it/s]
ITERATION - loss: 0.88:  57%|█████▋    | 36/63 [06:32<00:01, 19.62it/s]
ITERATION - loss: 1.32:  62%|██████▏   | 39/63 [06:32<00:01, 19.65it/s]
ITERATION - loss: 1.67:  67%|██████▋   | 42/63 [06:33<00:01, 20.76it/s]
ITERATION - loss: 0.98:  71%|███████▏  | 45/63 [06:33<00:00, 21.72it/s]
ITERATION - loss: 1.18:  76%|███████▌  | 48/63 [06:33<00:00, 21.69it/s]
ITERATION - loss: 0.76:  81%|████████  | 51/63 [06:33<00:00, 22.76it/s]
ITERATION - loss: 1.23:  86%|████████▌ | 54/63 [06:33<00:00, 21.83it/s]
ITERATION - loss: 1.06:  90%|█████████ | 57/63 [06:33<00:00, 22.62it/s]
ITERATION - loss: 1.13:  95%|█████████▌| 60/63 [06:33<00:00, 23.39it/s]
ITERATION - loss: 1.28: 100%|██████████| 63/63 [06:33<00:00, 23.80it/s]
ITERATION - loss: 1.28: 100%|██████████| 63/63 [06:33<00:00, 23.80it/s]
                                                                       

Training Results - Epoch: 57 Metrics: mse: 1.267, avep: 0.931, top5: 0.937, frac_mc: 0.876, top1: 0.970, mae: 0.786, loss: 1.267

ITERATION - loss: 1.28:   0%|          | 0/63 [06:37<00:02, 23.80it/s]
Validation Results - Epoch: 57 Metrics: mse: 1.428, avep: 0.925, top5: 0.927, frac_mc: 0.870, top1: 0.966, mae: 0.805, loss: 1.428

                                                                      

ITERATION - loss: 1.28:   0%|          | 0/63 [06:38<00:02, 23.80it/s]
ITERATION - loss: 2.04:   5%|▍         | 3/63 [06:38<00:27,  2.22it/s]
ITERATION - loss: 0.78:   8%|▊         | 5/63 [06:38<00:19,  3.02it/s]
ITERATION - loss: 0.83:  13%|█▎        | 8/63 [06:38<00:13,  4.08it/s]
ITERATION - loss: 2.09:  17%|█▋        | 11/63 [06:38<00:09,  5.38it/s]
ITERATION - loss: 1.88:  22%|██▏       | 14/63 [06:38<00:06,  7.03it/s]
ITERATION - loss: 1.64:  27%|██▋       | 17/63 [06:38<00:05,  8.86it/s]
ITERATION - loss: 1.12:  32%|███▏      | 20/63 [06:38<00:03, 10.76it/s]
ITERATION - loss: 0.93:  37%|███▋      | 23/63 [06:39<00:03, 12.89it/s]
ITERATION - loss: 2.66:  41%|████▏     | 26/63 [06:39<00:02, 14.24it/s]
ITERATION - loss: 1.06:  46%|████▌     | 29/63 [06:39<00:02, 15.71it/s]
ITERATION - loss: 0.98:  51%|█████     | 32/63 [06:39<00:01, 17.46it/s]
ITERATION - loss: 1.50:  56%|█████▌    | 35/63 [06:39<00:01, 17.70it/s]
ITERATION - loss: 0.96:  60%|██████    | 38/63 [06:39<00:01, 19.13it/s]
ITERATION - loss: 1.25:  65%|██████▌   | 41/63 [06:39<00:01, 19.54it/s]
ITERATION - loss: 0.63:  70%|██████▉   | 44/63 [06:40<00:00, 20.26it/s]
ITERATION - loss: 0.60:  75%|███████▍  | 47/63 [06:40<00:00, 20.05it/s]
ITERATION - loss: 0.81:  79%|███████▉  | 50/63 [06:40<00:00, 20.65it/s]
ITERATION - loss: 1.02:  84%|████████▍ | 53/63 [06:40<00:00, 21.52it/s]
ITERATION - loss: 1.11:  89%|████████▉ | 56/63 [06:40<00:00, 20.39it/s]
ITERATION - loss: 0.82:  94%|█████████▎| 59/63 [06:40<00:00, 21.08it/s]
ITERATION - loss: 1.38:  98%|█████████▊| 62/63 [06:40<00:00, 20.40it/s]
ITERATION - loss: 0.74: 100%|██████████| 63/63 [06:40<00:00, 20.40it/s]
                                                                       

Training Results - Epoch: 58 Metrics: mse: 1.235, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.970, mae: 0.774, loss: 1.235

ITERATION - loss: 0.74:   0%|          | 0/63 [06:44<00:03, 20.40it/s]
Validation Results - Epoch: 58 Metrics: mse: 1.436, avep: 0.925, top5: 0.928, frac_mc: 0.869, top1: 0.962, mae: 0.803, loss: 1.436

                                                                      

ITERATION - loss: 0.74:   0%|          | 0/63 [06:44<00:03, 20.40it/s]
ITERATION - loss: 1.26:   5%|▍         | 3/63 [06:45<00:26,  2.23it/s]
ITERATION - loss: 0.87:  10%|▉         | 6/63 [06:45<00:18,  3.04it/s]
ITERATION - loss: 1.30:  14%|█▍        | 9/63 [06:45<00:13,  4.13it/s]
ITERATION - loss: 0.87:  19%|█▉        | 12/63 [06:45<00:09,  5.42it/s]
ITERATION - loss: 1.04:  22%|██▏       | 14/63 [06:45<00:07,  6.89it/s]
ITERATION - loss: 0.64:  27%|██▋       | 17/63 [06:45<00:05,  8.67it/s]
ITERATION - loss: 1.12:  32%|███▏      | 20/63 [06:45<00:04, 10.56it/s]
ITERATION - loss: 1.24:  37%|███▋      | 23/63 [06:46<00:03, 12.34it/s]
ITERATION - loss: 1.76:  41%|████▏     | 26/63 [06:46<00:02, 14.49it/s]
ITERATION - loss: 1.11:  46%|████▌     | 29/63 [06:46<00:02, 15.79it/s]
ITERATION - loss: 0.63:  51%|█████     | 32/63 [06:46<00:01, 18.16it/s]
ITERATION - loss: 2.17:  56%|█████▌    | 35/63 [06:46<00:01, 19.53it/s]
ITERATION - loss: 1.59:  60%|██████    | 38/63 [06:46<00:01, 18.84it/s]
ITERATION - loss: 1.81:  65%|██████▌   | 41/63 [06:46<00:01, 18.45it/s]
ITERATION - loss: 1.44:  70%|██████▉   | 44/63 [06:47<00:01, 18.30it/s]
ITERATION - loss: 0.87:  75%|███████▍  | 47/63 [06:47<00:00, 19.66it/s]
ITERATION - loss: 2.04:  79%|███████▉  | 50/63 [06:47<00:00, 20.02it/s]
ITERATION - loss: 1.11:  84%|████████▍ | 53/63 [06:47<00:00, 21.05it/s]
ITERATION - loss: 0.78:  89%|████████▉ | 56/63 [06:47<00:00, 21.30it/s]
ITERATION - loss: 0.72:  94%|█████████▎| 59/63 [06:47<00:00, 20.60it/s]
ITERATION - loss: 1.06:  98%|█████████▊| 62/63 [06:47<00:00, 20.35it/s]
ITERATION - loss: 1.06: 100%|██████████| 63/63 [06:47<00:00, 20.35it/s]
Training Results - Epoch: 59 Metrics: mse: 1.231, avep: 0.933, top5: 0.939, frac_mc: 0.878, top1: 0.971, mae: 0.800, loss: 1.231

                                                                       

ITERATION - loss: 1.06:   0%|          | 0/63 [06:51<00:03, 20.35it/s]
                                                                      

Validation Results - Epoch: 59 Metrics: mse: 1.448, avep: 0.926, top5: 0.931, frac_mc: 0.868, top1: 0.962, mae: 0.845, loss: 1.448

ITERATION - loss: 1.06:   0%|          | 0/63 [06:51<00:03, 20.35it/s]
ITERATION - loss: 2.11:   5%|▍         | 3/63 [06:52<00:26,  2.22it/s]
ITERATION - loss: 0.77:  10%|▉         | 6/63 [06:52<00:18,  3.03it/s]
ITERATION - loss: 0.76:  14%|█▍        | 9/63 [06:52<00:13,  4.10it/s]
ITERATION - loss: 0.86:  19%|█▉        | 12/63 [06:52<00:09,  5.48it/s]
ITERATION - loss: 0.81:  24%|██▍       | 15/63 [06:52<00:06,  7.06it/s]
ITERATION - loss: 1.49:  29%|██▊       | 18/63 [06:52<00:05,  8.97it/s]
ITERATION - loss: 1.59:  33%|███▎      | 21/63 [06:52<00:03, 11.08it/s]
ITERATION - loss: 0.90:  38%|███▊      | 24/63 [06:52<00:02, 13.09it/s]
ITERATION - loss: 0.85:  43%|████▎     | 27/63 [06:53<00:02, 15.30it/s]
ITERATION - loss: 0.88:  48%|████▊     | 30/63 [06:53<00:02, 16.15it/s]
ITERATION - loss: 1.39:  52%|█████▏    | 33/63 [06:53<00:01, 17.73it/s]
ITERATION - loss: 1.51:  57%|█████▋    | 36/63 [06:53<00:01, 19.35it/s]
ITERATION - loss: 1.13:  62%|██████▏   | 39/63 [06:53<00:01, 20.00it/s]
ITERATION - loss: 0.94:  67%|██████▋   | 42/63 [06:53<00:00, 21.20it/s]
ITERATION - loss: 1.77:  71%|███████▏  | 45/63 [06:53<00:00, 20.81it/s]
ITERATION - loss: 0.86:  76%|███████▌  | 48/63 [06:54<00:00, 21.97it/s]
ITERATION - loss: 0.76:  81%|████████  | 51/63 [06:54<00:00, 22.12it/s]
ITERATION - loss: 1.40:  86%|████████▌ | 54/63 [06:54<00:00, 21.69it/s]
ITERATION - loss: 1.78:  90%|█████████ | 57/63 [06:54<00:00, 22.10it/s]
ITERATION - loss: 2.18:  95%|█████████▌| 60/63 [06:54<00:00, 21.32it/s]
ITERATION - loss: 1.56: 100%|██████████| 63/63 [06:54<00:00, 22.54it/s]
ITERATION - loss: 1.56: 100%|██████████| 63/63 [06:54<00:00, 22.54it/s]
                                                                       

Training Results - Epoch: 60 Metrics: mse: 1.185, avep: 0.932, top5: 0.939, frac_mc: 0.877, top1: 0.970, mae: 0.775, loss: 1.185

ITERATION - loss: 1.56:   0%|          | 0/63 [06:57<00:02, 22.54it/s]
                                                                      

Validation Results - Epoch: 60 Metrics: mse: 1.376, avep: 0.926, top5: 0.930, frac_mc: 0.870, top1: 0.964, mae: 0.804, loss: 1.376

ITERATION - loss: 1.56:   0%|          | 0/63 [06:58<00:02, 22.54it/s]
ITERATION - loss: 1.03:   5%|▍         | 3/63 [06:58<00:26,  2.24it/s]
ITERATION - loss: 1.54:   8%|▊         | 5/63 [06:58<00:19,  3.04it/s]
ITERATION - loss: 1.09:  13%|█▎        | 8/63 [06:59<00:13,  4.14it/s]
ITERATION - loss: 1.48:  17%|█▋        | 11/63 [06:59<00:09,  5.51it/s]
ITERATION - loss: 0.89:  22%|██▏       | 14/63 [06:59<00:06,  7.09it/s]
ITERATION - loss: 1.31:  27%|██▋       | 17/63 [06:59<00:05,  8.77it/s]
ITERATION - loss: 1.39:  32%|███▏      | 20/63 [06:59<00:04, 10.63it/s]
ITERATION - loss: 1.71:  37%|███▋      | 23/63 [06:59<00:03, 12.37it/s]
ITERATION - loss: 1.00:  41%|████▏     | 26/63 [06:59<00:02, 14.51it/s]
ITERATION - loss: 0.75:  46%|████▌     | 29/63 [07:00<00:02, 15.92it/s]
ITERATION - loss: 1.25:  51%|█████     | 32/63 [07:00<00:01, 17.31it/s]
ITERATION - loss: 1.06:  56%|█████▌    | 35/63 [07:00<00:01, 18.07it/s]
ITERATION - loss: 1.63:  60%|██████    | 38/63 [07:00<00:01, 19.24it/s]
ITERATION - loss: 0.50:  65%|██████▌   | 41/63 [07:00<00:01, 18.56it/s]
ITERATION - loss: 0.79:  70%|██████▉   | 44/63 [07:00<00:00, 19.98it/s]
ITERATION - loss: 0.96:  75%|███████▍  | 47/63 [07:00<00:00, 21.38it/s]
ITERATION - loss: 1.18:  79%|███████▉  | 50/63 [07:01<00:00, 20.85it/s]
ITERATION - loss: 2.14:  84%|████████▍ | 53/63 [07:01<00:00, 21.56it/s]
ITERATION - loss: 3.11:  89%|████████▉ | 56/63 [07:01<00:00, 21.47it/s]
ITERATION - loss: 1.59:  94%|█████████▎| 59/63 [07:01<00:00, 22.32it/s]
ITERATION - loss: 1.73:  98%|█████████▊| 62/63 [07:01<00:00, 19.62it/s]
ITERATION - loss: 1.87: 100%|██████████| 63/63 [07:01<00:00, 19.62it/s]
                                                                       

Training Results - Epoch: 61 Metrics: mse: 1.193, avep: 0.931, top5: 0.936, frac_mc: 0.876, top1: 0.969, mae: 0.784, loss: 1.193

ITERATION - loss: 1.87:   0%|          | 0/63 [07:04<00:03, 19.62it/s]
                                                                      

Validation Results - Epoch: 61 Metrics: mse: 1.392, avep: 0.925, top5: 0.929, frac_mc: 0.869, top1: 0.964, mae: 0.815, loss: 1.392

ITERATION - loss: 1.87:   0%|          | 0/63 [07:05<00:03, 19.62it/s]
ITERATION - loss: 1.40:   5%|▍         | 3/63 [07:05<00:26,  2.25it/s]
ITERATION - loss: 1.37:  10%|▉         | 6/63 [07:05<00:18,  3.09it/s]
ITERATION - loss: 1.94:  13%|█▎        | 8/63 [07:05<00:13,  4.12it/s]
ITERATION - loss: 1.84:  17%|█▋        | 11/63 [07:06<00:09,  5.46it/s]
ITERATION - loss: 1.02:  22%|██▏       | 14/63 [07:06<00:06,  7.11it/s]
ITERATION - loss: 1.37:  27%|██▋       | 17/63 [07:06<00:05,  8.65it/s]
ITERATION - loss: 1.50:  30%|███       | 19/63 [07:06<00:04, 10.30it/s]
ITERATION - loss: 0.80:  33%|███▎      | 21/63 [07:06<00:03, 11.71it/s]
ITERATION - loss: 0.94:  38%|███▊      | 24/63 [07:06<00:02, 13.70it/s]
ITERATION - loss: 0.78:  43%|████▎     | 27/63 [07:06<00:02, 15.84it/s]
ITERATION - loss: 1.20:  48%|████▊     | 30/63 [07:07<00:01, 16.81it/s]
ITERATION - loss: 1.37:  52%|█████▏    | 33/63 [07:07<00:01, 18.09it/s]
ITERATION - loss: 1.29:  57%|█████▋    | 36/63 [07:07<00:01, 18.35it/s]
ITERATION - loss: 0.96:  62%|██████▏   | 39/63 [07:07<00:01, 19.53it/s]
ITERATION - loss: 1.12:  67%|██████▋   | 42/63 [07:07<00:01, 19.52it/s]
ITERATION - loss: 1.64:  71%|███████▏  | 45/63 [07:07<00:00, 21.15it/s]
ITERATION - loss: 0.79:  76%|███████▌  | 48/63 [07:07<00:00, 22.16it/s]
ITERATION - loss: 1.45:  81%|████████  | 51/63 [07:07<00:00, 22.10it/s]
ITERATION - loss: 1.40:  86%|████████▌ | 54/63 [07:08<00:00, 22.32it/s]
ITERATION - loss: 0.94:  90%|█████████ | 57/63 [07:08<00:00, 21.70it/s]
ITERATION - loss: 0.56:  95%|█████████▌| 60/63 [07:08<00:00, 22.28it/s]
ITERATION - loss: 0.57: 100%|██████████| 63/63 [07:08<00:00, 22.28it/s]
                                                                       

Training Results - Epoch: 62 Metrics: mse: 1.262, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.970, mae: 0.779, loss: 1.262

ITERATION - loss: 0.57:   0%|          | 0/63 [07:11<00:02, 22.28it/s]
                                                                      

Validation Results - Epoch: 62 Metrics: mse: 1.424, avep: 0.925, top5: 0.928, frac_mc: 0.869, top1: 0.962, mae: 0.799, loss: 1.424

ITERATION - loss: 0.57:   0%|          | 0/63 [07:12<00:02, 22.28it/s]
ITERATION - loss: 0.75:   5%|▍         | 3/63 [07:12<00:28,  2.14it/s]
ITERATION - loss: 1.68:  10%|▉         | 6/63 [07:12<00:19,  2.94it/s]
ITERATION - loss: 0.56:  13%|█▎        | 8/63 [07:12<00:13,  3.93it/s]
ITERATION - loss: 1.02:  17%|█▋        | 11/63 [07:13<00:09,  5.24it/s]
ITERATION - loss: 1.05:  22%|██▏       | 14/63 [07:13<00:07,  6.85it/s]
ITERATION - loss: 0.82:  27%|██▋       | 17/63 [07:13<00:05,  8.59it/s]
ITERATION - loss: 1.36:  32%|███▏      | 20/63 [07:13<00:04, 10.71it/s]
ITERATION - loss: 0.94:  37%|███▋      | 23/63 [07:13<00:03, 12.53it/s]
ITERATION - loss: 0.97:  41%|████▏     | 26/63 [07:13<00:02, 14.46it/s]
ITERATION - loss: 1.91:  46%|████▌     | 29/63 [07:13<00:02, 16.71it/s]
ITERATION - loss: 1.06:  51%|█████     | 32/63 [07:14<00:01, 17.92it/s]
ITERATION - loss: 0.94:  56%|█████▌    | 35/63 [07:14<00:01, 19.34it/s]
ITERATION - loss: 0.92:  60%|██████    | 38/63 [07:14<00:01, 19.28it/s]
ITERATION - loss: 1.09:  65%|██████▌   | 41/63 [07:14<00:01, 19.70it/s]
ITERATION - loss: 1.48:  70%|██████▉   | 44/63 [07:14<00:00, 19.12it/s]
ITERATION - loss: 0.89:  75%|███████▍  | 47/63 [07:14<00:00, 19.87it/s]
ITERATION - loss: 0.75:  79%|███████▉  | 50/63 [07:14<00:00, 21.01it/s]
ITERATION - loss: 1.08:  84%|████████▍ | 53/63 [07:15<00:00, 20.86it/s]
ITERATION - loss: 0.99:  89%|████████▉ | 56/63 [07:15<00:00, 22.20it/s]
ITERATION - loss: 1.05:  94%|█████████▎| 59/63 [07:15<00:00, 21.32it/s]
ITERATION - loss: 1.43:  98%|█████████▊| 62/63 [07:15<00:00, 22.22it/s]
ITERATION - loss: 0.65: 100%|██████████| 63/63 [07:15<00:00, 22.22it/s]
                                                                       

Training Results - Epoch: 63 Metrics: mse: 1.201, avep: 0.933, top5: 0.940, frac_mc: 0.878, top1: 0.972, mae: 0.769, loss: 1.201

ITERATION - loss: 0.65:   0%|          | 0/63 [07:18<00:02, 22.22it/s]
                                                                      

Validation Results - Epoch: 63 Metrics: mse: 1.376, avep: 0.927, top5: 0.929, frac_mc: 0.870, top1: 0.964, mae: 0.792, loss: 1.376

ITERATION - loss: 0.65:   0%|          | 0/63 [07:19<00:02, 22.22it/s]
ITERATION - loss: 1.19:   5%|▍         | 3/63 [07:19<00:26,  2.25it/s]
ITERATION - loss: 2.22:   8%|▊         | 5/63 [07:19<00:18,  3.06it/s]
ITERATION - loss: 1.47:  13%|█▎        | 8/63 [07:19<00:13,  4.15it/s]
ITERATION - loss: 1.75:  17%|█▋        | 11/63 [07:19<00:09,  5.49it/s]
ITERATION - loss: 1.14:  22%|██▏       | 14/63 [07:20<00:06,  7.06it/s]
ITERATION - loss: 0.98:  27%|██▋       | 17/63 [07:20<00:05,  8.92it/s]
ITERATION - loss: 0.82:  32%|███▏      | 20/63 [07:20<00:04, 10.70it/s]
ITERATION - loss: 0.54:  37%|███▋      | 23/63 [07:20<00:03, 12.86it/s]
ITERATION - loss: 1.09:  41%|████▏     | 26/63 [07:20<00:02, 14.00it/s]
ITERATION - loss: 1.52:  46%|████▌     | 29/63 [07:20<00:02, 15.62it/s]
ITERATION - loss: 0.94:  51%|█████     | 32/63 [07:20<00:01, 15.72it/s]
ITERATION - loss: 1.15:  56%|█████▌    | 35/63 [07:21<00:01, 17.67it/s]
ITERATION - loss: 1.32:  60%|██████    | 38/63 [07:21<00:01, 19.35it/s]
ITERATION - loss: 0.89:  65%|██████▌   | 41/63 [07:21<00:01, 19.38it/s]
ITERATION - loss: 1.34:  70%|██████▉   | 44/63 [07:21<00:00, 19.78it/s]
ITERATION - loss: 1.13:  75%|███████▍  | 47/63 [07:21<00:00, 20.19it/s]
ITERATION - loss: 0.86:  79%|███████▉  | 50/63 [07:21<00:00, 18.88it/s]
ITERATION - loss: 0.64:  83%|████████▎ | 52/63 [07:21<00:00, 18.38it/s]
ITERATION - loss: 0.88:  86%|████████▌ | 54/63 [07:22<00:00, 17.79it/s]
ITERATION - loss: 0.79:  90%|█████████ | 57/63 [07:22<00:00, 19.07it/s]
ITERATION - loss: 1.77:  95%|█████████▌| 60/63 [07:22<00:00, 19.41it/s]
ITERATION - loss: 1.64: 100%|██████████| 63/63 [07:22<00:00, 21.67it/s]
ITERATION - loss: 1.64: 100%|██████████| 63/63 [07:22<00:00, 21.67it/s]
Training Results - Epoch: 64 Metrics: mse: 1.187, avep: 0.933, top5: 0.940, frac_mc: 0.878, top1: 0.971, mae: 0.770, loss: 1.187

                                                                       

ITERATION - loss: 1.64:   0%|          | 0/63 [07:25<00:02, 21.67it/s]
                                                                      

Validation Results - Epoch: 64 Metrics: mse: 1.394, avep: 0.927, top5: 0.931, frac_mc: 0.871, top1: 0.964, mae: 0.802, loss: 1.394

ITERATION - loss: 1.64:   0%|          | 0/63 [07:26<00:02, 21.67it/s]
ITERATION - loss: 1.19:   5%|▍         | 3/63 [07:26<00:26,  2.27it/s]
ITERATION - loss: 1.44:  10%|▉         | 6/63 [07:26<00:18,  3.11it/s]
ITERATION - loss: 1.01:  14%|█▍        | 9/63 [07:26<00:12,  4.17it/s]
ITERATION - loss: 0.72:  19%|█▉        | 12/63 [07:26<00:09,  5.55it/s]
ITERATION - loss: 1.09:  24%|██▍       | 15/63 [07:27<00:06,  7.08it/s]
ITERATION - loss: 1.57:  29%|██▊       | 18/63 [07:27<00:04,  9.04it/s]
ITERATION - loss: 1.37:  33%|███▎      | 21/63 [07:27<00:03, 11.00it/s]
ITERATION - loss: 2.12:  38%|███▊      | 24/63 [07:27<00:02, 13.10it/s]
ITERATION - loss: 1.18:  43%|████▎     | 27/63 [07:27<00:02, 15.53it/s]
ITERATION - loss: 0.86:  48%|████▊     | 30/63 [07:27<00:02, 16.36it/s]
ITERATION - loss: 0.92:  52%|█████▏    | 33/63 [07:27<00:01, 17.77it/s]
ITERATION - loss: 0.86:  57%|█████▋    | 36/63 [07:28<00:01, 18.36it/s]
ITERATION - loss: 1.62:  62%|██████▏   | 39/63 [07:28<00:01, 19.76it/s]
ITERATION - loss: 1.35:  67%|██████▋   | 42/63 [07:28<00:00, 21.58it/s]
ITERATION - loss: 1.00:  71%|███████▏  | 45/63 [07:28<00:00, 21.46it/s]
ITERATION - loss: 1.23:  76%|███████▌  | 48/63 [07:28<00:00, 20.76it/s]
ITERATION - loss: 1.51:  81%|████████  | 51/63 [07:28<00:00, 20.07it/s]
ITERATION - loss: 0.54:  86%|████████▌ | 54/63 [07:28<00:00, 21.38it/s]
ITERATION - loss: 1.10:  90%|█████████ | 57/63 [07:28<00:00, 21.46it/s]
ITERATION - loss: 0.99:  95%|█████████▌| 60/63 [07:29<00:00, 22.28it/s]
ITERATION - loss: 0.60: 100%|██████████| 63/63 [07:29<00:00, 22.28it/s]
Training Results - Epoch: 65 Metrics: mse: 1.177, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.767, loss: 1.177

                                                                       

ITERATION - loss: 0.60:   0%|          | 0/63 [07:32<00:02, 22.28it/s]
Validation Results - Epoch: 65 Metrics: mse: 1.383, avep: 0.925, top5: 0.929, frac_mc: 0.869, top1: 0.962, mae: 0.803, loss: 1.383

                                                                      

ITERATION - loss: 0.60:   0%|          | 0/63 [07:33<00:02, 22.28it/s]
ITERATION - loss: 1.58:   5%|▍         | 3/63 [07:33<00:28,  2.13it/s]
ITERATION - loss: 0.97:  10%|▉         | 6/63 [07:33<00:19,  2.94it/s]
ITERATION - loss: 0.69:  13%|█▎        | 8/63 [07:33<00:14,  3.92it/s]
ITERATION - loss: 1.02:  17%|█▋        | 11/63 [07:33<00:09,  5.21it/s]
ITERATION - loss: 1.36:  22%|██▏       | 14/63 [07:33<00:07,  6.80it/s]
ITERATION - loss: 0.81:  27%|██▋       | 17/63 [07:34<00:05,  8.38it/s]
ITERATION - loss: 0.82:  32%|███▏      | 20/63 [07:34<00:04, 10.31it/s]
ITERATION - loss: 0.90:  37%|███▋      | 23/63 [07:34<00:03, 11.92it/s]
ITERATION - loss: 1.18:  41%|████▏     | 26/63 [07:34<00:02, 14.11it/s]
ITERATION - loss: 0.97:  46%|████▌     | 29/63 [07:34<00:02, 15.07it/s]
ITERATION - loss: 1.05:  51%|█████     | 32/63 [07:34<00:01, 16.45it/s]
ITERATION - loss: 0.95:  56%|█████▌    | 35/63 [07:34<00:01, 17.86it/s]
ITERATION - loss: 1.10:  60%|██████    | 38/63 [07:35<00:01, 18.77it/s]
ITERATION - loss: 2.51:  65%|██████▌   | 41/63 [07:35<00:01, 20.20it/s]
ITERATION - loss: 1.44:  70%|██████▉   | 44/63 [07:35<00:00, 20.22it/s]
ITERATION - loss: 1.59:  75%|███████▍  | 47/63 [07:35<00:00, 21.48it/s]
ITERATION - loss: 1.12:  79%|███████▉  | 50/63 [07:35<00:00, 22.54it/s]
ITERATION - loss: 0.61:  84%|████████▍ | 53/63 [07:35<00:00, 22.06it/s]
ITERATION - loss: 1.67:  89%|████████▉ | 56/63 [07:35<00:00, 22.57it/s]
ITERATION - loss: 1.02:  94%|█████████▎| 59/63 [07:36<00:00, 21.84it/s]
ITERATION - loss: 1.16:  98%|█████████▊| 62/63 [07:36<00:00, 21.39it/s]
ITERATION - loss: 1.76: 100%|██████████| 63/63 [07:36<00:00, 21.39it/s]
                                                                       

Training Results - Epoch: 66 Metrics: mse: 1.181, avep: 0.933, top5: 0.939, frac_mc: 0.878, top1: 0.971, mae: 0.779, loss: 1.181

ITERATION - loss: 1.76:   0%|          | 0/63 [07:39<00:02, 21.39it/s]
                                                                      

Validation Results - Epoch: 66 Metrics: mse: 1.397, avep: 0.926, top5: 0.930, frac_mc: 0.870, top1: 0.962, mae: 0.819, loss: 1.397

ITERATION - loss: 1.76:   0%|          | 0/63 [07:40<00:02, 21.39it/s]
ITERATION - loss: 2.05:   5%|▍         | 3/63 [07:40<00:27,  2.22it/s]
ITERATION - loss: 1.17:  10%|▉         | 6/63 [07:40<00:18,  3.03it/s]
ITERATION - loss: 1.15:  14%|█▍        | 9/63 [07:40<00:13,  4.06it/s]
ITERATION - loss: 1.79:  19%|█▉        | 12/63 [07:40<00:09,  5.37it/s]
ITERATION - loss: 1.16:  24%|██▍       | 15/63 [07:40<00:06,  6.94it/s]
ITERATION - loss: 0.92:  29%|██▊       | 18/63 [07:41<00:05,  8.72it/s]
ITERATION - loss: 1.69:  33%|███▎      | 21/63 [07:41<00:03, 10.71it/s]
ITERATION - loss: 1.31:  38%|███▊      | 24/63 [07:41<00:03, 12.50it/s]
ITERATION - loss: 0.88:  43%|████▎     | 27/63 [07:41<00:02, 14.14it/s]
ITERATION - loss: 1.22:  48%|████▊     | 30/63 [07:41<00:02, 15.69it/s]
ITERATION - loss: 1.03:  52%|█████▏    | 33/63 [07:41<00:01, 18.13it/s]
ITERATION - loss: 0.47:  57%|█████▋    | 36/63 [07:41<00:01, 16.38it/s]
ITERATION - loss: 1.76:  62%|██████▏   | 39/63 [07:42<00:01, 17.62it/s]
ITERATION - loss: 1.06:  67%|██████▋   | 42/63 [07:42<00:01, 18.72it/s]
ITERATION - loss: 1.39:  71%|███████▏  | 45/63 [07:42<00:00, 18.43it/s]
ITERATION - loss: 0.72:  76%|███████▌  | 48/63 [07:42<00:00, 19.89it/s]
ITERATION - loss: 0.71:  81%|████████  | 51/63 [07:42<00:00, 19.65it/s]
ITERATION - loss: 0.61:  86%|████████▌ | 54/63 [07:42<00:00, 20.62it/s]
ITERATION - loss: 0.81:  90%|█████████ | 57/63 [07:42<00:00, 21.46it/s]
ITERATION - loss: 1.46:  95%|█████████▌| 60/63 [07:43<00:00, 20.69it/s]
ITERATION - loss: 1.74: 100%|██████████| 63/63 [07:43<00:00, 21.64it/s]
ITERATION - loss: 1.74: 100%|██████████| 63/63 [07:43<00:00, 21.64it/s]
Training Results - Epoch: 67 Metrics: mse: 1.207, avep: 0.933, top5: 0.940, frac_mc: 0.877, top1: 0.973, mae: 0.789, loss: 1.207
                                                                       


ITERATION - loss: 1.74:   0%|          | 0/63 [07:46<00:02, 21.64it/s]
                                                                      

Validation Results - Epoch: 67 Metrics: mse: 1.422, avep: 0.927, top5: 0.930, frac_mc: 0.870, top1: 0.964, mae: 0.833, loss: 1.422

ITERATION - loss: 1.74:   0%|          | 0/63 [07:47<00:02, 21.64it/s]
ITERATION - loss: 1.28:   5%|▍         | 3/63 [07:47<00:27,  2.19it/s]
ITERATION - loss: 1.62:  10%|▉         | 6/63 [07:47<00:18,  3.02it/s]
ITERATION - loss: 1.40:  13%|█▎        | 8/63 [07:47<00:13,  4.01it/s]
ITERATION - loss: 0.70:  17%|█▋        | 11/63 [07:47<00:09,  5.36it/s]
ITERATION - loss: 1.27:  22%|██▏       | 14/63 [07:47<00:07,  6.82it/s]
ITERATION - loss: 1.67:  27%|██▋       | 17/63 [07:48<00:05,  8.66it/s]
ITERATION - loss: 1.01:  32%|███▏      | 20/63 [07:48<00:04, 10.72it/s]
ITERATION - loss: 0.85:  37%|███▋      | 23/63 [07:48<00:03, 12.66it/s]
ITERATION - loss: 1.11:  41%|████▏     | 26/63 [07:48<00:02, 14.79it/s]
ITERATION - loss: 2.46:  46%|████▌     | 29/63 [07:48<00:02, 15.89it/s]
ITERATION - loss: 2.91:  51%|█████     | 32/63 [07:48<00:01, 17.63it/s]
ITERATION - loss: 1.04:  56%|█████▌    | 35/63 [07:48<00:01, 18.90it/s]
ITERATION - loss: 1.57:  60%|██████    | 38/63 [07:49<00:01, 18.83it/s]
ITERATION - loss: 1.17:  65%|██████▌   | 41/63 [07:49<00:01, 20.13it/s]
ITERATION - loss: 2.49:  70%|██████▉   | 44/63 [07:49<00:00, 20.59it/s]
ITERATION - loss: 1.20:  75%|███████▍  | 47/63 [07:49<00:00, 21.50it/s]
ITERATION - loss: 1.09:  79%|███████▉  | 50/63 [07:49<00:00, 22.25it/s]
ITERATION - loss: 1.26:  84%|████████▍ | 53/63 [07:49<00:00, 22.23it/s]
ITERATION - loss: 0.85:  89%|████████▉ | 56/63 [07:49<00:00, 22.73it/s]
ITERATION - loss: 0.78:  94%|█████████▎| 59/63 [07:49<00:00, 23.32it/s]
ITERATION - loss: 1.91:  98%|█████████▊| 62/63 [07:50<00:00, 22.17it/s]
ITERATION - loss: 0.95: 100%|██████████| 63/63 [07:50<00:00, 22.17it/s]
Training Results - Epoch: 68 Metrics: mse: 1.152, avep: 0.932, top5: 0.938, frac_mc: 0.877, top1: 0.971, mae: 0.773, loss: 1.152

                                                                       

ITERATION - loss: 0.95:   0%|          | 0/63 [07:53<00:02, 22.17it/s]
                                                                      

Validation Results - Epoch: 68 Metrics: mse: 1.353, avep: 0.925, top5: 0.929, frac_mc: 0.869, top1: 0.962, mae: 0.806, loss: 1.353

ITERATION - loss: 0.95:   0%|          | 0/63 [07:54<00:02, 22.17it/s]
ITERATION - loss: 1.24:   5%|▍         | 3/63 [07:54<00:27,  2.18it/s]
ITERATION - loss: 1.35:   8%|▊         | 5/63 [07:54<00:19,  2.97it/s]
ITERATION - loss: 1.23:  13%|█▎        | 8/63 [07:54<00:13,  4.03it/s]
ITERATION - loss: 1.58:  16%|█▌        | 10/63 [07:54<00:10,  5.29it/s]
ITERATION - loss: 1.21:  21%|██        | 13/63 [07:54<00:07,  6.92it/s]
ITERATION - loss: 0.75:  25%|██▌       | 16/63 [07:54<00:05,  8.80it/s]
ITERATION - loss: 1.56:  30%|███       | 19/63 [07:55<00:04, 10.59it/s]
ITERATION - loss: 0.99:  35%|███▍      | 22/63 [07:55<00:03, 12.55it/s]
ITERATION - loss: 1.95:  40%|███▉      | 25/63 [07:55<00:02, 13.97it/s]
ITERATION - loss: 1.29:  44%|████▍     | 28/63 [07:55<00:02, 15.51it/s]
ITERATION - loss: 1.07:  49%|████▉     | 31/63 [07:55<00:01, 16.18it/s]
ITERATION - loss: 1.38:  54%|█████▍    | 34/63 [07:55<00:01, 18.02it/s]
ITERATION - loss: 0.77:  59%|█████▊    | 37/63 [07:55<00:01, 18.60it/s]
ITERATION - loss: 1.28:  63%|██████▎   | 40/63 [07:56<00:01, 20.00it/s]
ITERATION - loss: 1.18:  68%|██████▊   | 43/63 [07:56<00:00, 21.43it/s]
ITERATION - loss: 1.10:  73%|███████▎  | 46/63 [07:56<00:00, 21.12it/s]
ITERATION - loss: 1.07:  78%|███████▊  | 49/63 [07:56<00:00, 20.22it/s]
ITERATION - loss: 2.24:  83%|████████▎ | 52/63 [07:56<00:00, 20.06it/s]
ITERATION - loss: 0.92:  87%|████████▋ | 55/63 [07:56<00:00, 20.82it/s]
ITERATION - loss: 1.75:  92%|█████████▏| 58/63 [07:56<00:00, 21.72it/s]
ITERATION - loss: 0.66:  97%|█████████▋| 61/63 [07:57<00:00, 20.83it/s]
ITERATION - loss: 0.92: 100%|██████████| 63/63 [07:57<00:00, 20.83it/s]
                                                                       

Training Results - Epoch: 69 Metrics: mse: 1.257, avep: 0.932, top5: 0.938, frac_mc: 0.877, top1: 0.970, mae: 0.824, loss: 1.257

ITERATION - loss: 0.92:   0%|          | 0/63 [08:00<00:03, 20.83it/s]
                                                                      

Validation Results - Epoch: 69 Metrics: mse: 1.469, avep: 0.927, top5: 0.931, frac_mc: 0.870, top1: 0.964, mae: 0.868, loss: 1.469

ITERATION - loss: 0.92:   0%|          | 0/63 [08:01<00:03, 20.83it/s]
ITERATION - loss: 1.82:   5%|▍         | 3/63 [08:01<00:27,  2.18it/s]
ITERATION - loss: 1.06:  10%|▉         | 6/63 [08:01<00:19,  2.97it/s]
ITERATION - loss: 0.95:  14%|█▍        | 9/63 [08:01<00:13,  4.02it/s]
ITERATION - loss: 1.37:  17%|█▋        | 11/63 [08:01<00:09,  5.24it/s]
ITERATION - loss: 1.38:  22%|██▏       | 14/63 [08:01<00:07,  6.89it/s]
ITERATION - loss: 0.77:  27%|██▋       | 17/63 [08:02<00:05,  8.69it/s]
ITERATION - loss: 0.95:  32%|███▏      | 20/63 [08:02<00:04, 10.13it/s]
ITERATION - loss: 1.25:  37%|███▋      | 23/63 [08:02<00:03, 11.69it/s]
ITERATION - loss: 1.05:  40%|███▉      | 25/63 [08:02<00:02, 13.18it/s]
ITERATION - loss: 0.77:  44%|████▍     | 28/63 [08:02<00:02, 15.46it/s]
ITERATION - loss: 1.37:  49%|████▉     | 31/63 [08:02<00:01, 16.99it/s]
ITERATION - loss: 1.08:  54%|█████▍    | 34/63 [08:02<00:01, 18.82it/s]
ITERATION - loss: 0.83:  59%|█████▊    | 37/63 [08:02<00:01, 20.16it/s]
ITERATION - loss: 1.22:  63%|██████▎   | 40/63 [08:03<00:01, 19.75it/s]
ITERATION - loss: 1.31:  68%|██████▊   | 43/63 [08:03<00:00, 20.03it/s]
ITERATION - loss: 0.87:  73%|███████▎  | 46/63 [08:03<00:00, 19.99it/s]
ITERATION - loss: 1.59:  78%|███████▊  | 49/63 [08:03<00:00, 20.20it/s]
ITERATION - loss: 1.09:  83%|████████▎ | 52/63 [08:03<00:00, 20.14it/s]
ITERATION - loss: 1.43:  87%|████████▋ | 55/63 [08:03<00:00, 21.22it/s]
ITERATION - loss: 0.84:  92%|█████████▏| 58/63 [08:03<00:00, 22.04it/s]
ITERATION - loss: 1.11:  97%|█████████▋| 61/63 [08:04<00:00, 21.36it/s]
ITERATION - loss: 1.84: 100%|██████████| 63/63 [08:04<00:00, 21.36it/s]
                                                                       

Training Results - Epoch: 70 Metrics: mse: 1.216, avep: 0.930, top5: 0.935, frac_mc: 0.875, top1: 0.970, mae: 0.773, loss: 1.216

ITERATION - loss: 1.84:   0%|          | 0/63 [08:07<00:02, 21.36it/s]
                                                                      

Validation Results - Epoch: 70 Metrics: mse: 1.402, avep: 0.925, top5: 0.927, frac_mc: 0.867, top1: 0.966, mae: 0.798, loss: 1.402

ITERATION - loss: 1.84:   0%|          | 0/63 [08:08<00:02, 21.36it/s]
ITERATION - loss: 0.88:   5%|▍         | 3/63 [08:08<00:27,  2.19it/s]
ITERATION - loss: 1.07:  10%|▉         | 6/63 [08:08<00:18,  3.01it/s]
ITERATION - loss: 0.84:  14%|█▍        | 9/63 [08:08<00:13,  4.09it/s]
ITERATION - loss: 0.84:  19%|█▉        | 12/63 [08:08<00:09,  5.39it/s]
ITERATION - loss: 1.07:  24%|██▍       | 15/63 [08:08<00:06,  6.94it/s]
ITERATION - loss: 2.57:  29%|██▊       | 18/63 [08:09<00:05,  8.57it/s]
ITERATION - loss: 0.92:  33%|███▎      | 21/63 [08:09<00:04, 10.38it/s]
ITERATION - loss: 1.08:  38%|███▊      | 24/63 [08:09<00:03, 12.02it/s]
ITERATION - loss: 1.75:  43%|████▎     | 27/63 [08:09<00:02, 14.06it/s]
ITERATION - loss: 0.89:  48%|████▊     | 30/63 [08:09<00:02, 16.11it/s]
ITERATION - loss: 1.50:  52%|█████▏    | 33/63 [08:09<00:01, 17.19it/s]
ITERATION - loss: 0.72:  57%|█████▋    | 36/63 [08:09<00:01, 18.38it/s]
ITERATION - loss: 1.99:  62%|██████▏   | 39/63 [08:10<00:01, 18.92it/s]
ITERATION - loss: 1.22:  67%|██████▋   | 42/63 [08:10<00:01, 19.94it/s]
ITERATION - loss: 0.99:  71%|███████▏  | 45/63 [08:10<00:00, 21.26it/s]
ITERATION - loss: 1.72:  76%|███████▌  | 48/63 [08:10<00:00, 21.21it/s]
ITERATION - loss: 1.97:  81%|████████  | 51/63 [08:10<00:00, 21.74it/s]
ITERATION - loss: 2.14:  86%|████████▌ | 54/63 [08:10<00:00, 20.19it/s]
ITERATION - loss: 1.92:  90%|█████████ | 57/63 [08:10<00:00, 21.17it/s]
ITERATION - loss: 1.06:  95%|█████████▌| 60/63 [08:10<00:00, 21.90it/s]
ITERATION - loss: 2.17: 100%|██████████| 63/63 [08:11<00:00, 22.24it/s]
ITERATION - loss: 2.17: 100%|██████████| 63/63 [08:11<00:00, 22.24it/s]
                                                                       

Training Results - Epoch: 71 Metrics: mse: 1.191, avep: 0.932, top5: 0.937, frac_mc: 0.876, top1: 0.972, mae: 0.771, loss: 1.191

ITERATION - loss: 2.17:   0%|          | 0/63 [08:14<00:02, 22.24it/s]
                                                                      

Validation Results - Epoch: 71 Metrics: mse: 1.388, avep: 0.925, top5: 0.928, frac_mc: 0.869, top1: 0.964, mae: 0.798, loss: 1.388

ITERATION - loss: 2.17:   0%|          | 0/63 [08:15<00:02, 22.24it/s]
ITERATION - loss: 0.79:   5%|▍         | 3/63 [08:15<00:27,  2.20it/s]
ITERATION - loss: 2.77:   8%|▊         | 5/63 [08:15<00:19,  2.99it/s]
ITERATION - loss: 0.93:  13%|█▎        | 8/63 [08:15<00:13,  4.04it/s]
ITERATION - loss: 0.80:  17%|█▋        | 11/63 [08:15<00:09,  5.27it/s]
ITERATION - loss: 0.76:  22%|██▏       | 14/63 [08:15<00:07,  6.84it/s]
ITERATION - loss: 1.69:  27%|██▋       | 17/63 [08:15<00:05,  8.75it/s]
ITERATION - loss: 1.21:  32%|███▏      | 20/63 [08:16<00:04, 10.35it/s]
ITERATION - loss: 0.61:  37%|███▋      | 23/63 [08:16<00:03, 12.53it/s]
ITERATION - loss: 0.91:  41%|████▏     | 26/63 [08:16<00:02, 14.37it/s]
ITERATION - loss: 0.92:  46%|████▌     | 29/63 [08:16<00:02, 16.55it/s]
ITERATION - loss: 1.39:  51%|█████     | 32/63 [08:16<00:01, 17.00it/s]
ITERATION - loss: 0.71:  56%|█████▌    | 35/63 [08:16<00:01, 18.54it/s]
ITERATION - loss: 1.44:  60%|██████    | 38/63 [08:16<00:01, 20.15it/s]
ITERATION - loss: 1.26:  65%|██████▌   | 41/63 [08:17<00:01, 20.61it/s]
ITERATION - loss: 1.24:  70%|██████▉   | 44/63 [08:17<00:00, 21.05it/s]
ITERATION - loss: 1.27:  75%|███████▍  | 47/63 [08:17<00:00, 22.28it/s]
ITERATION - loss: 1.30:  79%|███████▉  | 50/63 [08:17<00:00, 20.91it/s]
ITERATION - loss: 0.86:  84%|████████▍ | 53/63 [08:17<00:00, 21.76it/s]
ITERATION - loss: 0.73:  89%|████████▉ | 56/63 [08:17<00:00, 21.39it/s]
ITERATION - loss: 1.07:  94%|█████████▎| 59/63 [08:17<00:00, 22.09it/s]
ITERATION - loss: 1.50:  98%|█████████▊| 62/63 [08:18<00:00, 23.03it/s]
ITERATION - loss: 1.28: 100%|██████████| 63/63 [08:18<00:00, 23.03it/s]
                                                                       
Training Results - Epoch: 72 Metrics: mse: 1.173, avep: 0.932, top5: 0.938, frac_mc: 0.877, top1: 0.971, mae: 0.786, loss: 1.173

ITERATION - loss: 1.28:   0%|          | 0/63 [08:21<00:02, 23.03it/s]
                                                                      

Validation Results - Epoch: 72 Metrics: mse: 1.374, avep: 0.926, top5: 0.928, frac_mc: 0.869, top1: 0.964, mae: 0.824, loss: 1.374

ITERATION - loss: 1.28:   0%|          | 0/63 [08:21<00:02, 23.03it/s]
ITERATION - loss: 1.26:   5%|▍         | 3/63 [08:22<00:27,  2.21it/s]
ITERATION - loss: 1.66:  10%|▉         | 6/63 [08:22<00:18,  3.03it/s]
ITERATION - loss: 1.07:  14%|█▍        | 9/63 [08:22<00:13,  4.12it/s]
ITERATION - loss: 0.78:  19%|█▉        | 12/63 [08:22<00:09,  5.50it/s]
ITERATION - loss: 0.89:  24%|██▍       | 15/63 [08:22<00:06,  6.98it/s]
ITERATION - loss: 0.92:  29%|██▊       | 18/63 [08:22<00:05,  8.84it/s]
ITERATION - loss: 0.82:  33%|███▎      | 21/63 [08:23<00:03, 10.72it/s]
ITERATION - loss: 1.95:  38%|███▊      | 24/63 [08:23<00:03, 12.94it/s]
ITERATION - loss: 0.84:  43%|████▎     | 27/63 [08:23<00:02, 15.04it/s]
ITERATION - loss: 1.01:  48%|████▊     | 30/63 [08:23<00:02, 16.49it/s]
ITERATION - loss: 1.25:  52%|█████▏    | 33/63 [08:23<00:01, 17.69it/s]
ITERATION - loss: 1.03:  57%|█████▋    | 36/63 [08:23<00:01, 17.74it/s]
ITERATION - loss: 1.34:  62%|██████▏   | 39/63 [08:23<00:01, 19.52it/s]
ITERATION - loss: 1.40:  67%|██████▋   | 42/63 [08:23<00:00, 21.18it/s]
ITERATION - loss: 1.02:  71%|███████▏  | 45/63 [08:24<00:00, 21.65it/s]
ITERATION - loss: 2.36:  76%|███████▌  | 48/63 [08:24<00:00, 22.23it/s]
ITERATION - loss: 0.56:  81%|████████  | 51/63 [08:24<00:00, 22.09it/s]
ITERATION - loss: 2.15:  86%|████████▌ | 54/63 [08:24<00:00, 23.20it/s]
ITERATION - loss: 1.16:  90%|█████████ | 57/63 [08:24<00:00, 23.45it/s]
ITERATION - loss: 0.99:  95%|█████████▌| 60/63 [08:24<00:00, 21.84it/s]
ITERATION - loss: 1.33: 100%|██████████| 63/63 [08:24<00:00, 23.05it/s]
ITERATION - loss: 1.33: 100%|██████████| 63/63 [08:24<00:00, 23.05it/s]
                                                                       

Training Results - Epoch: 73 Metrics: mse: 1.450, avep: 0.932, top5: 0.939, frac_mc: 0.876, top1: 0.971, mae: 0.844, loss: 1.450

ITERATION - loss: 1.33:   0%|          | 0/63 [08:28<00:02, 23.05it/s]
                                                                      

Validation Results - Epoch: 73 Metrics: mse: 1.631, avep: 0.926, top5: 0.928, frac_mc: 0.868, top1: 0.964, mae: 0.862, loss: 1.631

ITERATION - loss: 1.33:   0%|          | 0/63 [08:28<00:02, 23.05it/s]
ITERATION - loss: 1.55:   5%|▍         | 3/63 [08:28<00:26,  2.27it/s]
ITERATION - loss: 1.96:   8%|▊         | 5/63 [08:29<00:18,  3.08it/s]
ITERATION - loss: 1.65:  13%|█▎        | 8/63 [08:29<00:13,  4.18it/s]
ITERATION - loss: 1.10:  17%|█▋        | 11/63 [08:29<00:09,  5.55it/s]
ITERATION - loss: 1.65:  22%|██▏       | 14/63 [08:29<00:06,  7.01it/s]
ITERATION - loss: 0.80:  27%|██▋       | 17/63 [08:29<00:05,  8.98it/s]
ITERATION - loss: 1.30:  32%|███▏      | 20/63 [08:29<00:03, 10.94it/s]
ITERATION - loss: 0.93:  37%|███▋      | 23/63 [08:29<00:03, 13.05it/s]
ITERATION - loss: 0.72:  41%|████▏     | 26/63 [08:29<00:02, 15.16it/s]
ITERATION - loss: 0.80:  46%|████▌     | 29/63 [08:30<00:02, 16.50it/s]
ITERATION - loss: 0.91:  51%|█████     | 32/63 [08:30<00:01, 18.29it/s]
ITERATION - loss: 1.40:  56%|█████▌    | 35/63 [08:30<00:01, 18.97it/s]
ITERATION - loss: 1.17:  60%|██████    | 38/63 [08:30<00:01, 19.47it/s]
ITERATION - loss: 1.28:  65%|██████▌   | 41/63 [08:30<00:01, 20.22it/s]
ITERATION - loss: 0.86:  70%|██████▉   | 44/63 [08:30<00:00, 20.00it/s]
ITERATION - loss: 1.81:  75%|███████▍  | 47/63 [08:30<00:00, 20.55it/s]
ITERATION - loss: 1.24:  79%|███████▉  | 50/63 [08:31<00:00, 20.40it/s]
ITERATION - loss: 0.91:  84%|████████▍ | 53/63 [08:31<00:00, 21.08it/s]
ITERATION - loss: 1.51:  89%|████████▉ | 56/63 [08:31<00:00, 21.64it/s]
ITERATION - loss: 1.39:  94%|█████████▎| 59/63 [08:31<00:00, 21.89it/s]
ITERATION - loss: 1.66:  98%|█████████▊| 62/63 [08:31<00:00, 22.57it/s]
ITERATION - loss: 1.53: 100%|██████████| 63/63 [08:31<00:00, 22.57it/s]
Training Results - Epoch: 74 Metrics: mse: 1.125, avep: 0.933, top5: 0.939, frac_mc: 0.877, top1: 0.973, mae: 0.752, loss: 1.125

                                                                       

ITERATION - loss: 1.53:   0%|          | 0/63 [08:34<00:02, 22.57it/s]
                                                                      

Validation Results - Epoch: 74 Metrics: mse: 1.312, avep: 0.926, top5: 0.929, frac_mc: 0.869, top1: 0.964, mae: 0.780, loss: 1.312

ITERATION - loss: 1.53:   0%|          | 0/63 [08:35<00:02, 22.57it/s]
ITERATION - loss: 1.04:   5%|▍         | 3/63 [08:35<00:27,  2.21it/s]
ITERATION - loss: 1.05:  10%|▉         | 6/63 [08:35<00:18,  3.04it/s]
ITERATION - loss: 1.14:  14%|█▍        | 9/63 [08:36<00:13,  4.11it/s]
ITERATION - loss: 1.18:  19%|█▉        | 12/63 [08:36<00:09,  5.48it/s]
ITERATION - loss: 0.64:  24%|██▍       | 15/63 [08:36<00:06,  6.97it/s]
ITERATION - loss: 1.71:  29%|██▊       | 18/63 [08:36<00:05,  8.76it/s]
ITERATION - loss: 0.67:  33%|███▎      | 21/63 [08:36<00:03, 10.85it/s]
ITERATION - loss: 1.81:  38%|███▊      | 24/63 [08:36<00:03, 12.76it/s]
ITERATION - loss: 1.52:  43%|████▎     | 27/63 [08:36<00:02, 14.79it/s]
ITERATION - loss: 1.19:  48%|████▊     | 30/63 [08:37<00:02, 15.99it/s]
ITERATION - loss: 0.94:  52%|█████▏    | 33/63 [08:37<00:01, 17.78it/s]
ITERATION - loss: 1.18:  57%|█████▋    | 36/63 [08:37<00:01, 18.88it/s]
ITERATION - loss: 0.69:  62%|██████▏   | 39/63 [08:37<00:01, 18.53it/s]
ITERATION - loss: 1.41:  67%|██████▋   | 42/63 [08:37<00:01, 19.23it/s]
ITERATION - loss: 1.91:  71%|███████▏  | 45/63 [08:37<00:00, 19.12it/s]
ITERATION - loss: 1.19:  76%|███████▌  | 48/63 [08:37<00:00, 19.82it/s]
ITERATION - loss: 1.27:  81%|████████  | 51/63 [08:38<00:00, 18.85it/s]
ITERATION - loss: 1.08:  86%|████████▌ | 54/63 [08:38<00:00, 20.16it/s]
ITERATION - loss: 1.12:  90%|█████████ | 57/63 [08:38<00:00, 20.59it/s]
ITERATION - loss: 1.06:  95%|█████████▌| 60/63 [08:38<00:00, 21.23it/s]
ITERATION - loss: 1.13: 100%|██████████| 63/63 [08:38<00:00, 22.90it/s]
ITERATION - loss: 1.13: 100%|██████████| 63/63 [08:38<00:00, 22.90it/s]
                                                                       

Training Results - Epoch: 75 Metrics: mse: 1.321, avep: 0.933, top5: 0.939, frac_mc: 0.877, top1: 0.971, mae: 0.845, loss: 1.321

ITERATION - loss: 1.13:   0%|          | 0/63 [08:41<00:02, 22.90it/s]
Validation Results - Epoch: 75 Metrics: mse: 1.517, avep: 0.926, top5: 0.929, frac_mc: 0.869, top1: 0.964, mae: 0.892, loss: 1.517

                                                                      

ITERATION - loss: 1.13:   0%|          | 0/63 [08:42<00:02, 22.90it/s]
ITERATION - loss: 1.41:   5%|▍         | 3/63 [08:42<00:27,  2.16it/s]
ITERATION - loss: 1.04:  10%|▉         | 6/63 [08:43<00:19,  2.96it/s]
ITERATION - loss: 2.30:  14%|█▍        | 9/63 [08:43<00:13,  4.02it/s]
ITERATION - loss: 0.67:  19%|█▉        | 12/63 [08:43<00:09,  5.39it/s]
ITERATION - loss: 1.61:  24%|██▍       | 15/63 [08:43<00:06,  6.99it/s]
ITERATION - loss: 0.77:  29%|██▊       | 18/63 [08:43<00:05,  8.86it/s]
ITERATION - loss: 0.69:  33%|███▎      | 21/63 [08:43<00:03, 10.62it/s]
ITERATION - loss: 1.31:  38%|███▊      | 24/63 [08:43<00:03, 12.83it/s]
ITERATION - loss: 1.52:  43%|████▎     | 27/63 [08:43<00:02, 14.87it/s]
ITERATION - loss: 0.73:  48%|████▊     | 30/63 [08:44<00:02, 15.92it/s]
ITERATION - loss: 1.27:  52%|█████▏    | 33/63 [08:44<00:01, 16.67it/s]
ITERATION - loss: 0.89:  57%|█████▋    | 36/63 [08:44<00:01, 17.86it/s]
ITERATION - loss: 1.01:  62%|██████▏   | 39/63 [08:44<00:01, 19.59it/s]
ITERATION - loss: 2.11:  67%|██████▋   | 42/63 [08:44<00:00, 21.37it/s]
ITERATION - loss: 1.55:  71%|███████▏  | 45/63 [08:44<00:00, 20.72it/s]
ITERATION - loss: 0.69:  76%|███████▌  | 48/63 [08:44<00:00, 21.17it/s]
ITERATION - loss: 1.19:  81%|████████  | 51/63 [08:45<00:00, 20.74it/s]
ITERATION - loss: 0.79:  86%|████████▌ | 54/63 [08:45<00:00, 21.45it/s]
ITERATION - loss: 1.36:  90%|█████████ | 57/63 [08:45<00:00, 20.93it/s]
ITERATION - loss: 0.93:  95%|█████████▌| 60/63 [08:45<00:00, 21.72it/s]
ITERATION - loss: 1.05: 100%|██████████| 63/63 [08:45<00:00, 22.95it/s]
ITERATION - loss: 1.05: 100%|██████████| 63/63 [08:45<00:00, 22.95it/s]
                                                                       

Training Results - Epoch: 76 Metrics: mse: 1.332, avep: 0.931, top5: 0.936, frac_mc: 0.874, top1: 0.972, mae: 0.798, loss: 1.332

ITERATION - loss: 1.05:   0%|          | 0/63 [08:48<00:02, 22.95it/s]
                                                                      

Validation Results - Epoch: 76 Metrics: mse: 1.481, avep: 0.925, top5: 0.928, frac_mc: 0.867, top1: 0.964, mae: 0.815, loss: 1.481

ITERATION - loss: 1.05:   0%|          | 0/63 [08:49<00:02, 22.95it/s]
ITERATION - loss: 0.76:   5%|▍         | 3/63 [08:49<00:26,  2.23it/s]
ITERATION - loss: 0.95:  10%|▉         | 6/63 [08:49<00:18,  3.06it/s]
ITERATION - loss: 0.89:  14%|█▍        | 9/63 [08:50<00:13,  4.10it/s]
ITERATION - loss: 1.24:  19%|█▉        | 12/63 [08:50<00:09,  5.43it/s]
ITERATION - loss: 0.96:  24%|██▍       | 15/63 [08:50<00:06,  7.11it/s]
ITERATION - loss: 0.91:  29%|██▊       | 18/63 [08:50<00:04,  9.00it/s]
ITERATION - loss: 1.98:  33%|███▎      | 21/63 [08:50<00:03, 11.17it/s]
ITERATION - loss: 1.21:  38%|███▊      | 24/63 [08:50<00:03, 12.74it/s]
ITERATION - loss: 1.28:  43%|████▎     | 27/63 [08:50<00:02, 15.10it/s]
ITERATION - loss: 1.06:  48%|████▊     | 30/63 [08:50<00:01, 16.76it/s]
ITERATION - loss: 0.68:  52%|█████▏    | 33/63 [08:51<00:01, 17.57it/s]
ITERATION - loss: 0.74:  57%|█████▋    | 36/63 [08:51<00:01, 19.39it/s]
ITERATION - loss: 1.07:  62%|██████▏   | 39/63 [08:51<00:01, 19.73it/s]
ITERATION - loss: 0.92:  67%|██████▋   | 42/63 [08:51<00:01, 20.36it/s]
ITERATION - loss: 0.81:  71%|███████▏  | 45/63 [08:51<00:00, 21.18it/s]
ITERATION - loss: 1.36:  76%|███████▌  | 48/63 [08:51<00:00, 20.61it/s]
ITERATION - loss: 1.11:  81%|████████  | 51/63 [08:51<00:00, 20.62it/s]
ITERATION - loss: 2.67:  86%|████████▌ | 54/63 [08:52<00:00, 20.61it/s]
ITERATION - loss: 1.57:  90%|█████████ | 57/63 [08:52<00:00, 21.59it/s]
ITERATION - loss: 1.07:  95%|█████████▌| 60/63 [08:52<00:00, 20.70it/s]
ITERATION - loss: 2.42: 100%|██████████| 63/63 [08:52<00:00, 18.31it/s]
ITERATION - loss: 2.42: 100%|██████████| 63/63 [08:52<00:00, 18.31it/s]
                                                                       

Training Results - Epoch: 77 Metrics: mse: 1.113, avep: 0.933, top5: 0.938, frac_mc: 0.877, top1: 0.972, mae: 0.752, loss: 1.113

ITERATION - loss: 2.42:   0%|          | 0/63 [08:55<00:03, 18.31it/s]
Validation Results - Epoch: 77 Metrics: mse: 1.294, avep: 0.926, top5: 0.928, frac_mc: 0.869, top1: 0.964, mae: 0.780, loss: 1.294

                                                                      

ITERATION - loss: 2.42:   0%|          | 0/63 [08:56<00:03, 18.31it/s]
ITERATION - loss: 1.81:   3%|▎         | 2/63 [08:56<00:38,  1.57it/s]
ITERATION - loss: 1.05:   8%|▊         | 5/63 [08:56<00:26,  2.18it/s]
ITERATION - loss: 0.71:  11%|█         | 7/63 [08:56<00:18,  2.97it/s]
ITERATION - loss: 1.01:  16%|█▌        | 10/63 [08:56<00:13,  4.01it/s]
ITERATION - loss: 0.82:  21%|██        | 13/63 [08:57<00:09,  5.28it/s]
ITERATION - loss: 1.22:  25%|██▌       | 16/63 [08:57<00:06,  6.85it/s]
ITERATION - loss: 2.14:  30%|███       | 19/63 [08:57<00:05,  8.76it/s]
ITERATION - loss: 1.58:  35%|███▍      | 22/63 [08:57<00:03, 10.55it/s]
ITERATION - loss: 1.10:  40%|███▉      | 25/63 [08:57<00:03, 12.48it/s]
ITERATION - loss: 1.11:  44%|████▍     | 28/63 [08:57<00:02, 13.95it/s]
ITERATION - loss: 0.68:  49%|████▉     | 31/63 [08:57<00:01, 16.04it/s]
ITERATION - loss: 1.37:  54%|█████▍    | 34/63 [08:58<00:01, 17.77it/s]
ITERATION - loss: 0.86:  59%|█████▊    | 37/63 [08:58<00:01, 18.21it/s]
ITERATION - loss: 1.18:  63%|██████▎   | 40/63 [08:58<00:01, 19.00it/s]
ITERATION - loss: 1.48:  68%|██████▊   | 43/63 [08:58<00:01, 19.81it/s]
ITERATION - loss: 0.69:  73%|███████▎  | 46/63 [08:58<00:00, 21.05it/s]
ITERATION - loss: 1.50:  78%|███████▊  | 49/63 [08:58<00:00, 20.70it/s]
ITERATION - loss: 0.72:  83%|████████▎ | 52/63 [08:58<00:00, 21.61it/s]
ITERATION - loss: 0.97:  87%|████████▋ | 55/63 [08:58<00:00, 22.12it/s]
ITERATION - loss: 0.89:  92%|█████████▏| 58/63 [08:59<00:00, 21.83it/s]
ITERATION - loss: 2.32:  97%|█████████▋| 61/63 [08:59<00:00, 22.92it/s]
ITERATION - loss: 2.04: 100%|██████████| 63/63 [08:59<00:00, 22.92it/s]
                                                                       

Training Results - Epoch: 78 Metrics: mse: 1.189, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.972, mae: 0.778, loss: 1.189

ITERATION - loss: 2.04:   0%|          | 0/63 [09:02<00:02, 22.92it/s]
                                                                      

Validation Results - Epoch: 78 Metrics: mse: 1.359, avep: 0.926, top5: 0.929, frac_mc: 0.870, top1: 0.966, mae: 0.812, loss: 1.359

ITERATION - loss: 2.04:   0%|          | 0/63 [09:03<00:02, 22.92it/s]
ITERATION - loss: 0.72:   5%|▍         | 3/63 [09:03<00:27,  2.15it/s]
ITERATION - loss: 1.80:   8%|▊         | 5/63 [09:03<00:19,  2.93it/s]
ITERATION - loss: 1.56:  11%|█         | 7/63 [09:03<00:14,  3.91it/s]
ITERATION - loss: 0.88:  16%|█▌        | 10/63 [09:03<00:10,  5.25it/s]
ITERATION - loss: 2.17:  21%|██        | 13/63 [09:04<00:07,  6.84it/s]
ITERATION - loss: 1.21:  25%|██▌       | 16/63 [09:04<00:05,  8.49it/s]
ITERATION - loss: 1.18:  30%|███       | 19/63 [09:04<00:04, 10.41it/s]
ITERATION - loss: 1.25:  35%|███▍      | 22/63 [09:04<00:03, 12.19it/s]
ITERATION - loss: 1.86:  40%|███▉      | 25/63 [09:04<00:02, 14.05it/s]
ITERATION - loss: 0.86:  44%|████▍     | 28/63 [09:04<00:02, 15.59it/s]
ITERATION - loss: 1.32:  49%|████▉     | 31/63 [09:04<00:01, 17.04it/s]
ITERATION - loss: 1.21:  54%|█████▍    | 34/63 [09:05<00:01, 18.70it/s]
ITERATION - loss: 0.98:  59%|█████▊    | 37/63 [09:05<00:01, 19.70it/s]
ITERATION - loss: 1.16:  63%|██████▎   | 40/63 [09:05<00:01, 20.90it/s]
ITERATION - loss: 2.30:  68%|██████▊   | 43/63 [09:05<00:00, 20.75it/s]
ITERATION - loss: 0.77:  73%|███████▎  | 46/63 [09:05<00:00, 21.56it/s]
ITERATION - loss: 1.24:  78%|███████▊  | 49/63 [09:05<00:00, 22.27it/s]
ITERATION - loss: 0.65:  83%|████████▎ | 52/63 [09:05<00:00, 21.55it/s]
ITERATION - loss: 2.67:  87%|████████▋ | 55/63 [09:05<00:00, 22.41it/s]
ITERATION - loss: 1.18:  92%|█████████▏| 58/63 [09:06<00:00, 21.50it/s]
ITERATION - loss: 1.01:  97%|█████████▋| 61/63 [09:06<00:00, 21.15it/s]
ITERATION - loss: 0.70: 100%|██████████| 63/63 [09:06<00:00, 21.15it/s]
                                                                       

Training Results - Epoch: 79 Metrics: mse: 1.308, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.972, mae: 0.799, loss: 1.308

ITERATION - loss: 0.70:   0%|          | 0/63 [09:09<00:02, 21.15it/s]
Validation Results - Epoch: 79 Metrics: mse: 1.479, avep: 0.925, top5: 0.930, frac_mc: 0.869, top1: 0.964, mae: 0.820, loss: 1.479

                                                                      

ITERATION - loss: 0.70:   0%|          | 0/63 [09:10<00:02, 21.15it/s]
ITERATION - loss: 0.87:   5%|▍         | 3/63 [09:10<00:27,  2.21it/s]
ITERATION - loss: 0.87:  10%|▉         | 6/63 [09:10<00:18,  3.03it/s]
ITERATION - loss: 0.98:  14%|█▍        | 9/63 [09:10<00:13,  4.05it/s]
ITERATION - loss: 1.72:  19%|█▉        | 12/63 [09:10<00:09,  5.37it/s]
ITERATION - loss: 1.49:  24%|██▍       | 15/63 [09:11<00:06,  6.97it/s]
ITERATION - loss: 0.94:  29%|██▊       | 18/63 [09:11<00:05,  8.59it/s]
ITERATION - loss: 0.88:  32%|███▏      | 20/63 [09:11<00:04, 10.34it/s]
ITERATION - loss: 0.62:  37%|███▋      | 23/63 [09:11<00:03, 12.25it/s]
ITERATION - loss: 1.10:  41%|████▏     | 26/63 [09:11<00:02, 14.15it/s]
ITERATION - loss: 1.26:  46%|████▌     | 29/63 [09:11<00:02, 16.26it/s]
ITERATION - loss: 1.15:  51%|█████     | 32/63 [09:11<00:01, 16.94it/s]
ITERATION - loss: 1.08:  56%|█████▌    | 35/63 [09:11<00:01, 17.67it/s]
ITERATION - loss: 1.16:  60%|██████    | 38/63 [09:12<00:01, 17.85it/s]
ITERATION - loss: 0.94:  63%|██████▎   | 40/63 [09:12<00:01, 18.27it/s]
ITERATION - loss: 1.92:  68%|██████▊   | 43/63 [09:12<00:01, 18.45it/s]
ITERATION - loss: 1.25:  73%|███████▎  | 46/63 [09:12<00:00, 19.34it/s]
ITERATION - loss: 0.94:  78%|███████▊  | 49/63 [09:12<00:00, 16.68it/s]
ITERATION - loss: 1.38:  83%|████████▎ | 52/63 [09:12<00:00, 18.17it/s]
ITERATION - loss: 0.90:  87%|████████▋ | 55/63 [09:13<00:00, 19.08it/s]
ITERATION - loss: 0.68:  92%|█████████▏| 58/63 [09:13<00:00, 19.21it/s]
ITERATION - loss: 2.34:  95%|█████████▌| 60/63 [09:13<00:00, 18.72it/s]
ITERATION - loss: 0.63:  98%|█████████▊| 62/63 [09:13<00:00, 17.11it/s]
ITERATION - loss: 0.78: 100%|██████████| 63/63 [09:13<00:00, 17.11it/s]
Training Results - Epoch: 80 Metrics: mse: 1.197, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.971, mae: 0.790, loss: 1.197

                                                                       

ITERATION - loss: 0.78:   0%|          | 0/63 [09:16<00:03, 17.11it/s]
                                                                      

Validation Results - Epoch: 80 Metrics: mse: 1.403, avep: 0.925, top5: 0.929, frac_mc: 0.869, top1: 0.962, mae: 0.834, loss: 1.403

ITERATION - loss: 0.78:   0%|          | 0/63 [09:17<00:03, 17.11it/s]
ITERATION - loss: 1.19:   3%|▎         | 2/63 [09:17<00:39,  1.53it/s]
ITERATION - loss: 2.22:   6%|▋         | 4/63 [09:17<00:28,  2.11it/s]
ITERATION - loss: 0.82:  10%|▉         | 6/63 [09:17<00:19,  2.87it/s]
ITERATION - loss: 1.99:  14%|█▍        | 9/63 [09:17<00:13,  3.92it/s]
ITERATION - loss: 1.22:  19%|█▉        | 12/63 [09:17<00:09,  5.25it/s]
ITERATION - loss: 0.70:  24%|██▍       | 15/63 [09:18<00:07,  6.80it/s]
ITERATION - loss: 1.69:  29%|██▊       | 18/63 [09:18<00:05,  8.69it/s]
ITERATION - loss: 0.76:  33%|███▎      | 21/63 [09:18<00:04, 10.26it/s]
ITERATION - loss: 0.67:  38%|███▊      | 24/63 [09:18<00:03, 12.25it/s]
ITERATION - loss: 1.34:  43%|████▎     | 27/63 [09:18<00:02, 14.19it/s]
ITERATION - loss: 1.04:  48%|████▊     | 30/63 [09:18<00:02, 15.62it/s]
ITERATION - loss: 1.06:  52%|█████▏    | 33/63 [09:18<00:01, 17.14it/s]
ITERATION - loss: 1.13:  57%|█████▋    | 36/63 [09:19<00:01, 17.91it/s]
ITERATION - loss: 1.55:  62%|██████▏   | 39/63 [09:19<00:01, 18.77it/s]
ITERATION - loss: 0.90:  67%|██████▋   | 42/63 [09:19<00:01, 18.14it/s]
ITERATION - loss: 0.99:  71%|███████▏  | 45/63 [09:19<00:00, 19.98it/s]
ITERATION - loss: 1.31:  76%|███████▌  | 48/63 [09:19<00:00, 20.38it/s]
ITERATION - loss: 1.02:  81%|████████  | 51/63 [09:19<00:00, 20.32it/s]
ITERATION - loss: 1.93:  86%|████████▌ | 54/63 [09:19<00:00, 21.54it/s]
ITERATION - loss: 1.18:  90%|█████████ | 57/63 [09:20<00:00, 21.84it/s]
ITERATION - loss: 0.72:  95%|█████████▌| 60/63 [09:20<00:00, 21.64it/s]
ITERATION - loss: 0.94: 100%|██████████| 63/63 [09:20<00:00, 21.64it/s]
                                                                       

Training Results - Epoch: 81 Metrics: mse: 1.106, avep: 0.932, top5: 0.936, frac_mc: 0.875, top1: 0.972, mae: 0.742, loss: 1.106

ITERATION - loss: 0.94:   0%|          | 0/63 [09:23<00:02, 21.64it/s]
                                                                      

Validation Results - Epoch: 81 Metrics: mse: 1.292, avep: 0.926, top5: 0.928, frac_mc: 0.869, top1: 0.964, mae: 0.770, loss: 1.292

ITERATION - loss: 0.94:   0%|          | 0/63 [09:24<00:02, 21.64it/s]
ITERATION - loss: 0.74:   5%|▍         | 3/63 [09:24<00:27,  2.15it/s]
ITERATION - loss: 0.73:   8%|▊         | 5/63 [09:24<00:19,  2.93it/s]
ITERATION - loss: 0.78:  11%|█         | 7/63 [09:24<00:14,  3.91it/s]
ITERATION - loss: 1.52:  16%|█▌        | 10/63 [09:24<00:10,  5.24it/s]
ITERATION - loss: 1.21:  21%|██        | 13/63 [09:25<00:07,  6.87it/s]
ITERATION - loss: 1.10:  25%|██▌       | 16/63 [09:25<00:05,  8.54it/s]
ITERATION - loss: 1.04:  30%|███       | 19/63 [09:25<00:04, 10.56it/s]
ITERATION - loss: 1.40:  35%|███▍      | 22/63 [09:25<00:03, 12.36it/s]
ITERATION - loss: 0.76:  40%|███▉      | 25/63 [09:25<00:02, 14.26it/s]
ITERATION - loss: 0.76:  44%|████▍     | 28/63 [09:25<00:02, 16.47it/s]
ITERATION - loss: 1.37:  49%|████▉     | 31/63 [09:25<00:01, 17.30it/s]
ITERATION - loss: 1.15:  54%|█████▍    | 34/63 [09:25<00:01, 18.58it/s]
ITERATION - loss: 2.21:  59%|█████▊    | 37/63 [09:26<00:01, 19.43it/s]
ITERATION - loss: 1.09:  63%|██████▎   | 40/63 [09:26<00:01, 21.15it/s]
ITERATION - loss: 0.93:  68%|██████▊   | 43/63 [09:26<00:00, 22.38it/s]
ITERATION - loss: 0.67:  73%|███████▎  | 46/63 [09:26<00:00, 22.24it/s]
ITERATION - loss: 1.06:  78%|███████▊  | 49/63 [09:26<00:00, 22.00it/s]
ITERATION - loss: 0.69:  83%|████████▎ | 52/63 [09:26<00:00, 21.72it/s]
ITERATION - loss: 0.86:  87%|████████▋ | 55/63 [09:26<00:00, 21.85it/s]
ITERATION - loss: 1.11:  92%|█████████▏| 58/63 [09:27<00:00, 22.36it/s]
ITERATION - loss: 1.34:  97%|█████████▋| 61/63 [09:27<00:00, 21.87it/s]
ITERATION - loss: 1.16: 100%|██████████| 63/63 [09:27<00:00, 21.87it/s]
                                                                       

Training Results - Epoch: 82 Metrics: mse: 1.122, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.972, mae: 0.748, loss: 1.122

ITERATION - loss: 1.16:   0%|          | 0/63 [09:30<00:02, 21.87it/s]
                                                                      

Validation Results - Epoch: 82 Metrics: mse: 1.295, avep: 0.925, top5: 0.928, frac_mc: 0.869, top1: 0.962, mae: 0.775, loss: 1.295

ITERATION - loss: 1.16:   0%|          | 0/63 [09:31<00:02, 21.87it/s]
ITERATION - loss: 1.30:   5%|▍         | 3/63 [09:31<00:26,  2.24it/s]
ITERATION - loss: 0.57:   8%|▊         | 5/63 [09:31<00:19,  2.95it/s]
ITERATION - loss: 0.84:  13%|█▎        | 8/63 [09:31<00:13,  3.99it/s]
ITERATION - loss: 1.14:  17%|█▋        | 11/63 [09:31<00:09,  5.25it/s]
ITERATION - loss: 1.08:  22%|██▏       | 14/63 [09:31<00:07,  6.88it/s]
ITERATION - loss: 1.11:  27%|██▋       | 17/63 [09:32<00:05,  8.71it/s]
ITERATION - loss: 1.28:  32%|███▏      | 20/63 [09:32<00:04, 10.35it/s]
ITERATION - loss: 0.88:  37%|███▋      | 23/63 [09:32<00:03, 12.26it/s]
ITERATION - loss: 0.79:  41%|████▏     | 26/63 [09:32<00:02, 13.71it/s]
ITERATION - loss: 1.81:  46%|████▌     | 29/63 [09:32<00:02, 15.81it/s]
ITERATION - loss: 1.45:  51%|█████     | 32/63 [09:32<00:01, 17.63it/s]
ITERATION - loss: 1.63:  56%|█████▌    | 35/63 [09:32<00:01, 15.87it/s]
ITERATION - loss: 0.81:  60%|██████    | 38/63 [09:33<00:01, 17.00it/s]
ITERATION - loss: 1.48:  65%|██████▌   | 41/63 [09:33<00:01, 18.39it/s]
ITERATION - loss: 1.10:  70%|██████▉   | 44/63 [09:33<00:00, 20.06it/s]
ITERATION - loss: 1.44:  75%|███████▍  | 47/63 [09:33<00:00, 20.82it/s]
ITERATION - loss: 0.85:  79%|███████▉  | 50/63 [09:33<00:00, 21.65it/s]
ITERATION - loss: 0.68:  84%|████████▍ | 53/63 [09:33<00:00, 23.08it/s]
ITERATION - loss: 0.72:  89%|████████▉ | 56/63 [09:33<00:00, 22.14it/s]
ITERATION - loss: 1.73:  94%|█████████▎| 59/63 [09:34<00:00, 22.15it/s]
ITERATION - loss: 0.88:  98%|█████████▊| 62/63 [09:34<00:00, 21.34it/s]
ITERATION - loss: 1.67: 100%|██████████| 63/63 [09:34<00:00, 21.34it/s]
                                                                       
Training Results - Epoch: 83 Metrics: mse: 1.152, avep: 0.934, top5: 0.940, frac_mc: 0.878, top1: 0.972, mae: 0.765, loss: 1.152

ITERATION - loss: 1.67:   0%|          | 0/63 [09:37<00:02, 21.34it/s]
                                                                      

Validation Results - Epoch: 83 Metrics: mse: 1.355, avep: 0.927, top5: 0.931, frac_mc: 0.869, top1: 0.964, mae: 0.793, loss: 1.355

ITERATION - loss: 1.67:   0%|          | 0/63 [09:38<00:02, 21.34it/s]
ITERATION - loss: 1.64:   5%|▍         | 3/63 [09:38<00:26,  2.24it/s]
ITERATION - loss: 0.59:  10%|▉         | 6/63 [09:38<00:18,  3.07it/s]
ITERATION - loss: 1.57:  14%|█▍        | 9/63 [09:38<00:12,  4.16it/s]
ITERATION - loss: 0.88:  19%|█▉        | 12/63 [09:38<00:09,  5.48it/s]
ITERATION - loss: 0.54:  24%|██▍       | 15/63 [09:38<00:06,  6.97it/s]
ITERATION - loss: 0.88:  29%|██▊       | 18/63 [09:38<00:05,  8.83it/s]
ITERATION - loss: 1.13:  33%|███▎      | 21/63 [09:39<00:03, 10.65it/s]
ITERATION - loss: 1.45:  38%|███▊      | 24/63 [09:39<00:03, 12.55it/s]
ITERATION - loss: 0.77:  43%|████▎     | 27/63 [09:39<00:02, 14.19it/s]
ITERATION - loss: 1.48:  48%|████▊     | 30/63 [09:39<00:02, 16.13it/s]
ITERATION - loss: 2.28:  52%|█████▏    | 33/63 [09:39<00:01, 16.07it/s]
ITERATION - loss: 0.80:  57%|█████▋    | 36/63 [09:39<00:01, 17.93it/s]
ITERATION - loss: 0.77:  62%|██████▏   | 39/63 [09:39<00:01, 19.64it/s]
ITERATION - loss: 0.52:  67%|██████▋   | 42/63 [09:40<00:01, 19.77it/s]
ITERATION - loss: 1.08:  71%|███████▏  | 45/63 [09:40<00:00, 20.83it/s]
ITERATION - loss: 0.61:  76%|███████▌  | 48/63 [09:40<00:00, 20.26it/s]
ITERATION - loss: 1.38:  81%|████████  | 51/63 [09:40<00:00, 21.22it/s]
ITERATION - loss: 0.71:  86%|████████▌ | 54/63 [09:40<00:00, 22.08it/s]
ITERATION - loss: 1.40:  90%|█████████ | 57/63 [09:40<00:00, 21.69it/s]
ITERATION - loss: 1.36:  95%|█████████▌| 60/63 [09:40<00:00, 22.33it/s]
ITERATION - loss: 0.41: 100%|██████████| 63/63 [09:41<00:00, 22.67it/s]
ITERATION - loss: 0.41: 100%|██████████| 63/63 [09:41<00:00, 22.67it/s]
                                                                       

Training Results - Epoch: 84 Metrics: mse: 1.190, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.972, mae: 0.764, loss: 1.190

ITERATION - loss: 0.41:   0%|          | 0/63 [09:44<00:02, 22.67it/s]
                                                                      

Validation Results - Epoch: 84 Metrics: mse: 1.358, avep: 0.925, top5: 0.929, frac_mc: 0.869, top1: 0.962, mae: 0.785, loss: 1.358

ITERATION - loss: 0.41:   0%|          | 0/63 [09:45<00:02, 22.67it/s]
ITERATION - loss: 1.24:   5%|▍         | 3/63 [09:45<00:27,  2.19it/s]
ITERATION - loss: 1.44:  10%|▉         | 6/63 [09:45<00:19,  2.99it/s]
ITERATION - loss: 1.09:  14%|█▍        | 9/63 [09:45<00:13,  4.06it/s]
ITERATION - loss: 1.32:  19%|█▉        | 12/63 [09:45<00:09,  5.43it/s]
ITERATION - loss: 0.86:  24%|██▍       | 15/63 [09:45<00:06,  6.89it/s]
ITERATION - loss: 0.75:  29%|██▊       | 18/63 [09:46<00:05,  8.64it/s]
ITERATION - loss: 1.40:  33%|███▎      | 21/63 [09:46<00:04, 10.47it/s]
ITERATION - loss: 1.19:  38%|███▊      | 24/63 [09:46<00:03, 12.62it/s]
ITERATION - loss: 1.07:  43%|████▎     | 27/63 [09:46<00:02, 14.66it/s]
ITERATION - loss: 1.10:  48%|████▊     | 30/63 [09:46<00:02, 15.61it/s]
ITERATION - loss: 0.91:  52%|█████▏    | 33/63 [09:46<00:01, 16.89it/s]
ITERATION - loss: 0.94:  57%|█████▋    | 36/63 [09:46<00:01, 17.73it/s]
ITERATION - loss: 0.77:  62%|██████▏   | 39/63 [09:46<00:01, 19.44it/s]
ITERATION - loss: 0.85:  67%|██████▋   | 42/63 [09:47<00:01, 18.82it/s]
ITERATION - loss: 1.00:  71%|███████▏  | 45/63 [09:47<00:00, 19.69it/s]
ITERATION - loss: 2.67:  76%|███████▌  | 48/63 [09:47<00:00, 20.43it/s]
ITERATION - loss: 1.52:  81%|████████  | 51/63 [09:47<00:00, 20.13it/s]
ITERATION - loss: 1.07:  86%|████████▌ | 54/63 [09:47<00:00, 21.49it/s]
ITERATION - loss: 1.04:  90%|█████████ | 57/63 [09:47<00:00, 21.58it/s]
ITERATION - loss: 1.91:  95%|█████████▌| 60/63 [09:47<00:00, 22.58it/s]
ITERATION - loss: 0.85: 100%|██████████| 63/63 [09:48<00:00, 23.70it/s]
ITERATION - loss: 0.85: 100%|██████████| 63/63 [09:48<00:00, 23.70it/s]
                                                                       

Training Results - Epoch: 85 Metrics: mse: 1.110, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.970, mae: 0.750, loss: 1.110

ITERATION - loss: 0.85:   0%|          | 0/63 [09:51<00:02, 23.70it/s]
                                                                      

Validation Results - Epoch: 85 Metrics: mse: 1.307, avep: 0.926, top5: 0.930, frac_mc: 0.869, top1: 0.964, mae: 0.779, loss: 1.307

ITERATION - loss: 0.85:   0%|          | 0/63 [09:52<00:02, 23.70it/s]
ITERATION - loss: 0.70:   5%|▍         | 3/63 [09:52<00:26,  2.23it/s]
ITERATION - loss: 0.59:  10%|▉         | 6/63 [09:52<00:18,  3.06it/s]
ITERATION - loss: 0.94:  13%|█▎        | 8/63 [09:52<00:13,  4.01it/s]
ITERATION - loss: 0.97:  17%|█▋        | 11/63 [09:52<00:09,  5.32it/s]
ITERATION - loss: 0.87:  22%|██▏       | 14/63 [09:52<00:07,  6.87it/s]
ITERATION - loss: 0.97:  27%|██▋       | 17/63 [09:52<00:05,  8.81it/s]
ITERATION - loss: 1.01:  32%|███▏      | 20/63 [09:53<00:04,  9.59it/s]
ITERATION - loss: 0.72:  37%|███▋      | 23/63 [09:53<00:03, 11.74it/s]
ITERATION - loss: 1.44:  41%|████▏     | 26/63 [09:53<00:02, 13.29it/s]
ITERATION - loss: 1.20:  46%|████▌     | 29/63 [09:53<00:02, 15.24it/s]
ITERATION - loss: 1.69:  51%|█████     | 32/63 [09:53<00:01, 17.26it/s]
ITERATION - loss: 0.65:  56%|█████▌    | 35/63 [09:53<00:01, 18.52it/s]
ITERATION - loss: 1.11:  60%|██████    | 38/63 [09:53<00:01, 19.68it/s]
ITERATION - loss: 0.95:  65%|██████▌   | 41/63 [09:54<00:01, 20.08it/s]
ITERATION - loss: 1.86:  70%|██████▉   | 44/63 [09:54<00:00, 20.61it/s]
ITERATION - loss: 1.05:  75%|███████▍  | 47/63 [09:54<00:00, 21.70it/s]
ITERATION - loss: 1.04:  79%|███████▉  | 50/63 [09:54<00:00, 21.26it/s]
ITERATION - loss: 0.87:  84%|████████▍ | 53/63 [09:54<00:00, 21.95it/s]
ITERATION - loss: 1.57:  89%|████████▉ | 56/63 [09:54<00:00, 21.18it/s]
ITERATION - loss: 1.26:  94%|█████████▎| 59/63 [09:54<00:00, 22.23it/s]
ITERATION - loss: 0.94:  98%|█████████▊| 62/63 [09:55<00:00, 22.94it/s]
ITERATION - loss: 1.08: 100%|██████████| 63/63 [09:55<00:00, 22.94it/s]
Training Results - Epoch: 86 Metrics: mse: 1.130, avep: 0.933, top5: 0.938, frac_mc: 0.877, top1: 0.972, mae: 0.753, loss: 1.130

                                                                       

ITERATION - loss: 1.08:   0%|          | 0/63 [09:58<00:02, 22.94it/s]
                                                                      
Validation Results - Epoch: 86 Metrics: mse: 1.327, avep: 0.926, top5: 0.930, frac_mc: 0.869, top1: 0.964, mae: 0.777, loss: 1.327

ITERATION - loss: 1.08:   0%|          | 0/63 [09:58<00:02, 22.94it/s]
ITERATION - loss: 0.94:   5%|▍         | 3/63 [09:59<00:26,  2.31it/s]
ITERATION - loss: 0.87:  10%|▉         | 6/63 [09:59<00:18,  3.16it/s]
ITERATION - loss: 0.88:  14%|█▍        | 9/63 [09:59<00:12,  4.30it/s]
ITERATION - loss: 2.52:  19%|█▉        | 12/63 [09:59<00:09,  5.65it/s]
ITERATION - loss: 0.63:  24%|██▍       | 15/63 [09:59<00:06,  7.29it/s]
ITERATION - loss: 1.32:  29%|██▊       | 18/63 [09:59<00:04,  9.27it/s]
ITERATION - loss: 1.02:  33%|███▎      | 21/63 [09:59<00:03, 11.02it/s]
ITERATION - loss: 1.18:  38%|███▊      | 24/63 [09:59<00:02, 13.12it/s]
ITERATION - loss: 0.91:  43%|████▎     | 27/63 [10:00<00:02, 15.02it/s]
ITERATION - loss: 1.13:  48%|████▊     | 30/63 [10:00<00:02, 16.15it/s]
ITERATION - loss: 1.55:  52%|█████▏    | 33/63 [10:00<00:01, 17.00it/s]
ITERATION - loss: 1.18:  57%|█████▋    | 36/63 [10:00<00:01, 17.63it/s]
ITERATION - loss: 1.19:  62%|██████▏   | 39/63 [10:00<00:01, 19.28it/s]
ITERATION - loss: 1.14:  67%|██████▋   | 42/63 [10:00<00:01, 19.36it/s]
ITERATION - loss: 1.11:  71%|███████▏  | 45/63 [10:00<00:00, 20.46it/s]
ITERATION - loss: 0.52:  76%|███████▌  | 48/63 [10:01<00:00, 21.25it/s]
ITERATION - loss: 2.03:  81%|████████  | 51/63 [10:01<00:00, 20.24it/s]
ITERATION - loss: 1.56:  86%|████████▌ | 54/63 [10:01<00:00, 20.93it/s]
ITERATION - loss: 0.72:  90%|█████████ | 57/63 [10:01<00:00, 21.01it/s]
ITERATION - loss: 1.14:  95%|█████████▌| 60/63 [10:01<00:00, 21.87it/s]
ITERATION - loss: 1.27: 100%|██████████| 63/63 [10:01<00:00, 21.89it/s]
ITERATION - loss: 1.27: 100%|██████████| 63/63 [10:01<00:00, 21.89it/s]
Training Results - Epoch: 87 Metrics: mse: 1.159, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.776, loss: 1.159

                                                                       

ITERATION - loss: 1.27:   0%|          | 0/63 [10:05<00:02, 21.89it/s]
Validation Results - Epoch: 87 Metrics: mse: 1.363, avep: 0.926, top5: 0.929, frac_mc: 0.868, top1: 0.966, mae: 0.816, loss: 1.363

                                                                      

ITERATION - loss: 1.27:   0%|          | 0/63 [10:05<00:02, 21.89it/s]
ITERATION - loss: 1.33:   5%|▍         | 3/63 [10:05<00:27,  2.22it/s]
ITERATION - loss: 1.22:  10%|▉         | 6/63 [10:06<00:18,  3.03it/s]
ITERATION - loss: 0.58:  14%|█▍        | 9/63 [10:06<00:13,  4.12it/s]
ITERATION - loss: 1.00:  19%|█▉        | 12/63 [10:06<00:09,  5.47it/s]
ITERATION - loss: 0.60:  24%|██▍       | 15/63 [10:06<00:06,  6.92it/s]
ITERATION - loss: 0.86:  29%|██▊       | 18/63 [10:06<00:05,  8.59it/s]
ITERATION - loss: 0.78:  32%|███▏      | 20/63 [10:06<00:04, 10.06it/s]
ITERATION - loss: 1.00:  37%|███▋      | 23/63 [10:06<00:03, 12.06it/s]
ITERATION - loss: 0.88:  41%|████▏     | 26/63 [10:07<00:02, 13.84it/s]
ITERATION - loss: 1.39:  46%|████▌     | 29/63 [10:07<00:02, 14.90it/s]
ITERATION - loss: 0.68:  51%|█████     | 32/63 [10:07<00:01, 16.50it/s]
ITERATION - loss: 1.60:  56%|█████▌    | 35/63 [10:07<00:01, 17.20it/s]
ITERATION - loss: 1.81:  59%|█████▊    | 37/63 [10:07<00:01, 17.07it/s]
ITERATION - loss: 0.74:  62%|██████▏   | 39/63 [10:07<00:01, 16.33it/s]
ITERATION - loss: 0.95:  67%|██████▋   | 42/63 [10:07<00:01, 18.52it/s]
ITERATION - loss: 0.91:  71%|███████▏  | 45/63 [10:08<00:00, 19.82it/s]
ITERATION - loss: 1.04:  76%|███████▌  | 48/63 [10:08<00:00, 19.77it/s]
ITERATION - loss: 1.17:  81%|████████  | 51/63 [10:08<00:00, 19.60it/s]
ITERATION - loss: 1.82:  86%|████████▌ | 54/63 [10:08<00:00, 20.30it/s]
ITERATION - loss: 0.77:  90%|█████████ | 57/63 [10:08<00:00, 21.00it/s]
ITERATION - loss: 1.28:  95%|█████████▌| 60/63 [10:08<00:00, 21.10it/s]
ITERATION - loss: 2.43: 100%|██████████| 63/63 [10:08<00:00, 21.99it/s]
ITERATION - loss: 2.43: 100%|██████████| 63/63 [10:08<00:00, 21.99it/s]
                                                                       

Training Results - Epoch: 88 Metrics: mse: 1.085, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.972, mae: 0.735, loss: 1.085

ITERATION - loss: 2.43:   0%|          | 0/63 [10:12<00:02, 21.99it/s]
                                                                      

Validation Results - Epoch: 88 Metrics: mse: 1.260, avep: 0.925, top5: 0.929, frac_mc: 0.868, top1: 0.966, mae: 0.759, loss: 1.260

ITERATION - loss: 2.43:   0%|          | 0/63 [10:12<00:02, 21.99it/s]
ITERATION - loss: 0.91:   5%|▍         | 3/63 [10:13<00:26,  2.23it/s]
ITERATION - loss: 0.78:  10%|▉         | 6/63 [10:13<00:18,  3.06it/s]
ITERATION - loss: 0.76:  13%|█▎        | 8/63 [10:13<00:14,  3.91it/s]
ITERATION - loss: 0.74:  16%|█▌        | 10/63 [10:13<00:10,  5.00it/s]
ITERATION - loss: 1.25:  21%|██        | 13/63 [10:13<00:07,  6.44it/s]
ITERATION - loss: 0.75:  25%|██▌       | 16/63 [10:13<00:05,  8.12it/s]
ITERATION - loss: 1.03:  30%|███       | 19/63 [10:13<00:04,  9.92it/s]
ITERATION - loss: 1.01:  33%|███▎      | 21/63 [10:14<00:03, 11.54it/s]
ITERATION - loss: 0.52:  37%|███▋      | 23/63 [10:14<00:03, 13.02it/s]
ITERATION - loss: 0.90:  41%|████▏     | 26/63 [10:14<00:02, 15.27it/s]
ITERATION - loss: 1.50:  46%|████▌     | 29/63 [10:14<00:01, 17.43it/s]
ITERATION - loss: 0.79:  51%|█████     | 32/63 [10:14<00:01, 18.26it/s]
ITERATION - loss: 2.36:  56%|█████▌    | 35/63 [10:14<00:01, 19.68it/s]
ITERATION - loss: 1.01:  60%|██████    | 38/63 [10:14<00:01, 20.05it/s]
ITERATION - loss: 1.03:  65%|██████▌   | 41/63 [10:14<00:01, 21.42it/s]
ITERATION - loss: 0.88:  70%|██████▉   | 44/63 [10:15<00:00, 21.92it/s]
ITERATION - loss: 0.95:  75%|███████▍  | 47/63 [10:15<00:00, 21.34it/s]
ITERATION - loss: 1.84:  79%|███████▉  | 50/63 [10:15<00:00, 21.58it/s]
ITERATION - loss: 1.07:  84%|████████▍ | 53/63 [10:15<00:00, 20.60it/s]
ITERATION - loss: 1.04:  89%|████████▉ | 56/63 [10:15<00:00, 21.81it/s]
ITERATION - loss: 0.77:  94%|█████████▎| 59/63 [10:15<00:00, 22.33it/s]
ITERATION - loss: 0.97:  98%|█████████▊| 62/63 [10:15<00:00, 21.55it/s]
ITERATION - loss: 1.48: 100%|██████████| 63/63 [10:15<00:00, 21.55it/s]
                                                                       

Training Results - Epoch: 89 Metrics: mse: 1.081, avep: 0.932, top5: 0.937, frac_mc: 0.876, top1: 0.972, mae: 0.744, loss: 1.081

ITERATION - loss: 1.48:   0%|          | 0/63 [10:18<00:02, 21.55it/s]
                                                                      

Validation Results - Epoch: 89 Metrics: mse: 1.256, avep: 0.925, top5: 0.929, frac_mc: 0.868, top1: 0.966, mae: 0.772, loss: 1.256

ITERATION - loss: 1.48:   0%|          | 0/63 [10:19<00:02, 21.55it/s]
ITERATION - loss: 1.07:   5%|▍         | 3/63 [10:19<00:26,  2.30it/s]
ITERATION - loss: 1.68:  10%|▉         | 6/63 [10:20<00:18,  3.16it/s]
ITERATION - loss: 0.98:  14%|█▍        | 9/63 [10:20<00:12,  4.26it/s]
ITERATION - loss: 0.74:  19%|█▉        | 12/63 [10:20<00:09,  5.58it/s]
ITERATION - loss: 0.98:  24%|██▍       | 15/63 [10:20<00:06,  7.02it/s]
ITERATION - loss: 1.11:  29%|██▊       | 18/63 [10:20<00:05,  8.90it/s]
ITERATION - loss: 0.92:  33%|███▎      | 21/63 [10:20<00:03, 11.15it/s]
ITERATION - loss: 0.77:  38%|███▊      | 24/63 [10:20<00:03, 12.94it/s]
ITERATION - loss: 2.17:  43%|████▎     | 27/63 [10:20<00:02, 15.06it/s]
ITERATION - loss: 1.40:  48%|████▊     | 30/63 [10:21<00:02, 15.92it/s]
ITERATION - loss: 0.70:  52%|█████▏    | 33/63 [10:21<00:01, 17.26it/s]
ITERATION - loss: 0.97:  57%|█████▋    | 36/63 [10:21<00:01, 18.91it/s]
ITERATION - loss: 1.11:  62%|██████▏   | 39/63 [10:21<00:01, 19.16it/s]
ITERATION - loss: 1.66:  67%|██████▋   | 42/63 [10:21<00:01, 20.31it/s]
ITERATION - loss: 1.27:  71%|███████▏  | 45/63 [10:21<00:00, 20.27it/s]
ITERATION - loss: 1.16:  76%|███████▌  | 48/63 [10:21<00:00, 21.61it/s]
ITERATION - loss: 1.84:  81%|████████  | 51/63 [10:22<00:00, 22.75it/s]
ITERATION - loss: 1.83:  86%|████████▌ | 54/63 [10:22<00:00, 22.81it/s]
ITERATION - loss: 0.72:  90%|█████████ | 57/63 [10:22<00:00, 23.18it/s]
ITERATION - loss: 0.89:  95%|█████████▌| 60/63 [10:22<00:00, 22.51it/s]
ITERATION - loss: 1.06: 100%|██████████| 63/63 [10:22<00:00, 22.36it/s]
ITERATION - loss: 1.06: 100%|██████████| 63/63 [10:22<00:00, 22.36it/s]
                                                                       

Training Results - Epoch: 90 Metrics: mse: 1.073, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.972, mae: 0.734, loss: 1.073

ITERATION - loss: 1.06:   0%|          | 0/63 [10:25<00:02, 22.36it/s]
                                                                      

Validation Results - Epoch: 90 Metrics: mse: 1.251, avep: 0.925, top5: 0.928, frac_mc: 0.868, top1: 0.966, mae: 0.760, loss: 1.251

ITERATION - loss: 1.06:   0%|          | 0/63 [10:26<00:02, 22.36it/s]
ITERATION - loss: 1.56:   5%|▍         | 3/63 [10:26<00:27,  2.19it/s]
ITERATION - loss: 2.94:  10%|▉         | 6/63 [10:26<00:18,  3.00it/s]
ITERATION - loss: 0.78:  14%|█▍        | 9/63 [10:27<00:13,  4.04it/s]
ITERATION - loss: 1.94:  19%|█▉        | 12/63 [10:27<00:09,  5.39it/s]
ITERATION - loss: 1.56:  24%|██▍       | 15/63 [10:27<00:06,  7.01it/s]
ITERATION - loss: 1.00:  29%|██▊       | 18/63 [10:27<00:05,  8.73it/s]
ITERATION - loss: 0.97:  33%|███▎      | 21/63 [10:27<00:03, 10.62it/s]
ITERATION - loss: 0.81:  38%|███▊      | 24/63 [10:27<00:03, 12.53it/s]
ITERATION - loss: 0.95:  43%|████▎     | 27/63 [10:27<00:02, 14.64it/s]
ITERATION - loss: 0.57:  48%|████▊     | 30/63 [10:28<00:02, 15.97it/s]
ITERATION - loss: 0.82:  52%|█████▏    | 33/63 [10:28<00:01, 16.89it/s]
ITERATION - loss: 0.70:  57%|█████▋    | 36/63 [10:28<00:01, 17.22it/s]
ITERATION - loss: 1.28:  62%|██████▏   | 39/63 [10:28<00:01, 17.12it/s]
ITERATION - loss: 0.95:  67%|██████▋   | 42/63 [10:28<00:01, 18.77it/s]
ITERATION - loss: 0.53:  71%|███████▏  | 45/63 [10:28<00:00, 19.21it/s]
ITERATION - loss: 1.06:  76%|███████▌  | 48/63 [10:28<00:00, 20.37it/s]
ITERATION - loss: 0.96:  81%|████████  | 51/63 [10:29<00:00, 19.13it/s]
ITERATION - loss: 0.76:  86%|████████▌ | 54/63 [10:29<00:00, 19.53it/s]
ITERATION - loss: 1.88:  90%|█████████ | 57/63 [10:29<00:00, 21.33it/s]
ITERATION - loss: 1.36:  95%|█████████▌| 60/63 [10:29<00:00, 20.67it/s]
ITERATION - loss: 0.54: 100%|██████████| 63/63 [10:29<00:00, 21.96it/s]
ITERATION - loss: 0.54: 100%|██████████| 63/63 [10:29<00:00, 21.96it/s]
Training Results - Epoch: 91 Metrics: mse: 1.077, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.742, loss: 1.077

                                                                       

ITERATION - loss: 0.54:   0%|          | 0/63 [10:32<00:02, 21.96it/s]
                                                                      

Validation Results - Epoch: 91 Metrics: mse: 1.262, avep: 0.926, top5: 0.929, frac_mc: 0.868, top1: 0.966, mae: 0.771, loss: 1.262

ITERATION - loss: 0.54:   0%|          | 0/63 [10:33<00:02, 21.96it/s]
ITERATION - loss: 0.67:   5%|▍         | 3/63 [10:33<00:26,  2.22it/s]
ITERATION - loss: 1.25:   8%|▊         | 5/63 [10:33<00:19,  3.02it/s]
ITERATION - loss: 0.90:  13%|█▎        | 8/63 [10:34<00:13,  4.08it/s]
ITERATION - loss: 0.83:  16%|█▌        | 10/63 [10:34<00:09,  5.34it/s]
ITERATION - loss: 1.00:  21%|██        | 13/63 [10:34<00:07,  6.99it/s]
ITERATION - loss: 0.60:  25%|██▌       | 16/63 [10:34<00:05,  8.70it/s]
ITERATION - loss: 0.78:  30%|███       | 19/63 [10:34<00:04, 10.49it/s]
ITERATION - loss: 0.94:  35%|███▍      | 22/63 [10:34<00:03, 12.51it/s]
ITERATION - loss: 1.60:  40%|███▉      | 25/63 [10:34<00:02, 14.13it/s]
ITERATION - loss: 1.37:  44%|████▍     | 28/63 [10:35<00:02, 15.76it/s]
ITERATION - loss: 1.10:  49%|████▉     | 31/63 [10:35<00:01, 16.45it/s]
ITERATION - loss: 1.25:  54%|█████▍    | 34/63 [10:35<00:01, 17.76it/s]
ITERATION - loss: 0.86:  59%|█████▊    | 37/63 [10:35<00:01, 19.10it/s]
ITERATION - loss: 2.26:  63%|██████▎   | 40/63 [10:35<00:01, 19.73it/s]
ITERATION - loss: 1.26:  68%|██████▊   | 43/63 [10:35<00:00, 21.21it/s]
ITERATION - loss: 1.20:  73%|███████▎  | 46/63 [10:35<00:00, 21.09it/s]
ITERATION - loss: 0.90:  78%|███████▊  | 49/63 [10:35<00:00, 21.86it/s]
ITERATION - loss: 0.80:  83%|████████▎ | 52/63 [10:36<00:00, 21.88it/s]
ITERATION - loss: 1.13:  87%|████████▋ | 55/63 [10:36<00:00, 21.33it/s]
ITERATION - loss: 0.93:  92%|█████████▏| 58/63 [10:36<00:00, 21.60it/s]
ITERATION - loss: 1.20:  97%|█████████▋| 61/63 [10:36<00:00, 20.73it/s]
ITERATION - loss: 1.38: 100%|██████████| 63/63 [10:36<00:00, 20.73it/s]
                                                                       

Training Results - Epoch: 92 Metrics: mse: 1.098, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.971, mae: 0.738, loss: 1.098

ITERATION - loss: 1.38:   0%|          | 0/63 [10:39<00:03, 20.73it/s]
                                                                      

Validation Results - Epoch: 92 Metrics: mse: 1.266, avep: 0.925, top5: 0.929, frac_mc: 0.867, top1: 0.964, mae: 0.758, loss: 1.266

ITERATION - loss: 1.38:   0%|          | 0/63 [10:40<00:03, 20.73it/s]
ITERATION - loss: 0.56:   5%|▍         | 3/63 [10:40<00:27,  2.17it/s]
ITERATION - loss: 1.22:  10%|▉         | 6/63 [10:40<00:19,  2.98it/s]
ITERATION - loss: 1.04:  14%|█▍        | 9/63 [10:41<00:13,  4.06it/s]
ITERATION - loss: 0.73:  19%|█▉        | 12/63 [10:41<00:09,  5.38it/s]
ITERATION - loss: 1.34:  24%|██▍       | 15/63 [10:41<00:06,  6.97it/s]
ITERATION - loss: 0.90:  29%|██▊       | 18/63 [10:41<00:05,  8.67it/s]
ITERATION - loss: 0.70:  33%|███▎      | 21/63 [10:41<00:03, 10.80it/s]
ITERATION - loss: 1.11:  38%|███▊      | 24/63 [10:41<00:03, 12.91it/s]
ITERATION - loss: 0.92:  43%|████▎     | 27/63 [10:41<00:02, 14.31it/s]
ITERATION - loss: 0.66:  48%|████▊     | 30/63 [10:42<00:02, 16.01it/s]
ITERATION - loss: 1.29:  52%|█████▏    | 33/63 [10:42<00:01, 17.08it/s]
ITERATION - loss: 0.46:  57%|█████▋    | 36/63 [10:42<00:01, 17.89it/s]
ITERATION - loss: 1.55:  62%|██████▏   | 39/63 [10:42<00:01, 18.23it/s]
ITERATION - loss: 0.86:  67%|██████▋   | 42/63 [10:42<00:01, 19.57it/s]
ITERATION - loss: 0.91:  71%|███████▏  | 45/63 [10:42<00:00, 20.81it/s]
ITERATION - loss: 1.11:  76%|███████▌  | 48/63 [10:42<00:00, 20.42it/s]
ITERATION - loss: 1.99:  81%|████████  | 51/63 [10:43<00:00, 22.18it/s]
ITERATION - loss: 0.89:  86%|████████▌ | 54/63 [10:43<00:00, 21.38it/s]
ITERATION - loss: 0.87:  90%|█████████ | 57/63 [10:43<00:00, 20.60it/s]
ITERATION - loss: 0.89:  95%|█████████▌| 60/63 [10:43<00:00, 20.09it/s]
ITERATION - loss: 1.13: 100%|██████████| 63/63 [10:43<00:00, 18.40it/s]
ITERATION - loss: 1.13: 100%|██████████| 63/63 [10:43<00:00, 18.40it/s]
                                                                       

Training Results - Epoch: 93 Metrics: mse: 1.067, avep: 0.932, top5: 0.937, frac_mc: 0.876, top1: 0.972, mae: 0.738, loss: 1.067

ITERATION - loss: 1.13:   0%|          | 0/63 [10:46<00:03, 18.40it/s]
                                                                      

Validation Results - Epoch: 93 Metrics: mse: 1.247, avep: 0.925, top5: 0.930, frac_mc: 0.869, top1: 0.966, mae: 0.765, loss: 1.247

ITERATION - loss: 1.13:   0%|          | 0/63 [10:47<00:03, 18.40it/s]
ITERATION - loss: 0.80:   3%|▎         | 2/63 [10:47<00:40,  1.50it/s]
ITERATION - loss: 0.72:   8%|▊         | 5/63 [10:47<00:27,  2.09it/s]
ITERATION - loss: 0.59:  13%|█▎        | 8/63 [10:48<00:19,  2.87it/s]
ITERATION - loss: 1.36:  16%|█▌        | 10/63 [10:48<00:13,  3.83it/s]
ITERATION - loss: 1.08:  21%|██        | 13/63 [10:48<00:09,  5.10it/s]
ITERATION - loss: 1.00:  25%|██▌       | 16/63 [10:48<00:07,  6.65it/s]
ITERATION - loss: 1.26:  30%|███       | 19/63 [10:48<00:05,  8.36it/s]
ITERATION - loss: 1.48:  35%|███▍      | 22/63 [10:48<00:04, 10.15it/s]
ITERATION - loss: 1.13:  40%|███▉      | 25/63 [10:48<00:03, 11.53it/s]
ITERATION - loss: 0.86:  44%|████▍     | 28/63 [10:49<00:02, 13.41it/s]
ITERATION - loss: 0.92:  49%|████▉     | 31/63 [10:49<00:02, 14.90it/s]
ITERATION - loss: 0.86:  54%|█████▍    | 34/63 [10:49<00:01, 16.51it/s]
ITERATION - loss: 1.11:  59%|█████▊    | 37/63 [10:49<00:01, 17.40it/s]
ITERATION - loss: 1.09:  63%|██████▎   | 40/63 [10:49<00:01, 19.25it/s]
ITERATION - loss: 0.83:  68%|██████▊   | 43/63 [10:49<00:00, 20.61it/s]
ITERATION - loss: 0.86:  73%|███████▎  | 46/63 [10:49<00:00, 21.18it/s]
ITERATION - loss: 1.10:  78%|███████▊  | 49/63 [10:50<00:00, 22.43it/s]
ITERATION - loss: 0.63:  83%|████████▎ | 52/63 [10:50<00:00, 23.33it/s]
ITERATION - loss: 0.89:  87%|████████▋ | 55/63 [10:50<00:00, 22.12it/s]
ITERATION - loss: 0.75:  92%|█████████▏| 58/63 [10:50<00:00, 20.93it/s]
ITERATION - loss: 0.86:  97%|█████████▋| 61/63 [10:50<00:00, 20.38it/s]
ITERATION - loss: 0.90: 100%|██████████| 63/63 [10:50<00:00, 20.38it/s]
                                                                       

ITERATION - loss: 0.90:   0%|          | 0/63 [10:53<00:03, 20.38it/s]
Training Results - Epoch: 94 Metrics: mse: 1.067, avep: 0.931, top5: 0.936, frac_mc: 0.875, top1: 0.970, mae: 0.731, loss: 1.067

                                                                      

Validation Results - Epoch: 94 Metrics: mse: 1.248, avep: 0.925, top5: 0.929, frac_mc: 0.867, top1: 0.964, mae: 0.756, loss: 1.248

ITERATION - loss: 0.90:   0%|          | 0/63 [10:54<00:03, 20.38it/s]
ITERATION - loss: 2.24:   5%|▍         | 3/63 [10:55<00:28,  2.08it/s]
ITERATION - loss: 0.85:   8%|▊         | 5/63 [10:55<00:20,  2.83it/s]
ITERATION - loss: 0.90:  13%|█▎        | 8/63 [10:55<00:14,  3.83it/s]
ITERATION - loss: 0.91:  17%|█▋        | 11/63 [10:55<00:10,  5.14it/s]
ITERATION - loss: 0.71:  21%|██        | 13/63 [10:55<00:07,  6.55it/s]
ITERATION - loss: 0.75:  25%|██▌       | 16/63 [10:55<00:05,  8.34it/s]
ITERATION - loss: 1.24:  30%|███       | 19/63 [10:55<00:04, 10.03it/s]
ITERATION - loss: 0.96:  35%|███▍      | 22/63 [10:55<00:03, 12.05it/s]
ITERATION - loss: 0.44:  40%|███▉      | 25/63 [10:56<00:02, 14.25it/s]
ITERATION - loss: 0.81:  44%|████▍     | 28/63 [10:56<00:02, 15.66it/s]
ITERATION - loss: 0.54:  49%|████▉     | 31/63 [10:56<00:01, 17.10it/s]
ITERATION - loss: 0.83:  54%|█████▍    | 34/63 [10:56<00:01, 17.56it/s]
ITERATION - loss: 1.02:  59%|█████▊    | 37/63 [10:56<00:01, 19.72it/s]
ITERATION - loss: 1.28:  63%|██████▎   | 40/63 [10:56<00:01, 20.93it/s]
ITERATION - loss: 1.17:  68%|██████▊   | 43/63 [10:56<00:00, 20.61it/s]
ITERATION - loss: 0.57:  73%|███████▎  | 46/63 [10:57<00:00, 21.57it/s]
ITERATION - loss: 1.03:  78%|███████▊  | 49/63 [10:57<00:00, 21.46it/s]
ITERATION - loss: 1.19:  83%|████████▎ | 52/63 [10:57<00:00, 21.73it/s]
ITERATION - loss: 1.16:  87%|████████▋ | 55/63 [10:57<00:00, 19.88it/s]
ITERATION - loss: 0.86:  92%|█████████▏| 58/63 [10:57<00:00, 20.63it/s]
ITERATION - loss: 0.95:  97%|█████████▋| 61/63 [10:57<00:00, 20.76it/s]
ITERATION - loss: 0.97: 100%|██████████| 63/63 [10:57<00:00, 20.76it/s]
                                                                       

Training Results - Epoch: 95 Metrics: mse: 1.066, avep: 0.932, top5: 0.938, frac_mc: 0.875, top1: 0.972, mae: 0.734, loss: 1.066

ITERATION - loss: 0.97:   0%|          | 0/63 [11:01<00:03, 20.76it/s]
                                                                      

Validation Results - Epoch: 95 Metrics: mse: 1.251, avep: 0.925, top5: 0.928, frac_mc: 0.868, top1: 0.966, mae: 0.762, loss: 1.251

ITERATION - loss: 0.97:   0%|          | 0/63 [11:01<00:03, 20.76it/s]
ITERATION - loss: 0.71:   5%|▍         | 3/63 [11:01<00:27,  2.20it/s]
ITERATION - loss: 0.65:  10%|▉         | 6/63 [11:02<00:18,  3.02it/s]
ITERATION - loss: 1.41:  13%|█▎        | 8/63 [11:02<00:13,  4.04it/s]
ITERATION - loss: 0.95:  17%|█▋        | 11/63 [11:02<00:09,  5.43it/s]
ITERATION - loss: 1.16:  22%|██▏       | 14/63 [11:02<00:06,  7.15it/s]
ITERATION - loss: 1.10:  27%|██▋       | 17/63 [11:02<00:05,  8.92it/s]
ITERATION - loss: 0.50:  32%|███▏      | 20/63 [11:02<00:03, 11.00it/s]
ITERATION - loss: 1.40:  37%|███▋      | 23/63 [11:02<00:03, 13.06it/s]
ITERATION - loss: 1.10:  41%|████▏     | 26/63 [11:02<00:02, 14.69it/s]
ITERATION - loss: 0.65:  46%|████▌     | 29/63 [11:03<00:02, 16.20it/s]
ITERATION - loss: 0.90:  51%|█████     | 32/63 [11:03<00:01, 17.12it/s]
ITERATION - loss: 1.60:  56%|█████▌    | 35/63 [11:03<00:01, 18.38it/s]
ITERATION - loss: 0.65:  60%|██████    | 38/63 [11:03<00:01, 18.63it/s]
ITERATION - loss: 2.10:  65%|██████▌   | 41/63 [11:03<00:01, 19.60it/s]
ITERATION - loss: 0.91:  70%|██████▉   | 44/63 [11:03<00:01, 17.06it/s]
ITERATION - loss: 0.78:  75%|███████▍  | 47/63 [11:04<00:00, 18.87it/s]
ITERATION - loss: 0.77:  79%|███████▉  | 50/63 [11:04<00:00, 19.30it/s]
ITERATION - loss: 1.29:  84%|████████▍ | 53/63 [11:04<00:00, 18.96it/s]
ITERATION - loss: 0.93:  87%|████████▋ | 55/63 [11:04<00:00, 18.19it/s]
ITERATION - loss: 0.58:  92%|█████████▏| 58/63 [11:04<00:00, 18.83it/s]
ITERATION - loss: 0.94:  97%|█████████▋| 61/63 [11:04<00:00, 20.00it/s]
ITERATION - loss: 1.11: 100%|██████████| 63/63 [11:04<00:00, 20.00it/s]
Training Results - Epoch: 96 Metrics: mse: 1.063, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.731, loss: 1.063

                                                                       

ITERATION - loss: 1.11:   0%|          | 0/63 [11:08<00:03, 20.00it/s]
                                                                      

Validation Results - Epoch: 96 Metrics: mse: 1.251, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.758, loss: 1.251

ITERATION - loss: 1.11:   0%|          | 0/63 [11:08<00:03, 20.00it/s]
ITERATION - loss: 0.82:   5%|▍         | 3/63 [11:09<00:27,  2.16it/s]
ITERATION - loss: 1.52:   8%|▊         | 5/63 [11:09<00:19,  2.94it/s]
ITERATION - loss: 0.54:  13%|█▎        | 8/63 [11:09<00:13,  3.97it/s]
ITERATION - loss: 1.12:  17%|█▋        | 11/63 [11:09<00:09,  5.27it/s]
ITERATION - loss: 0.76:  21%|██        | 13/63 [11:09<00:07,  6.67it/s]
ITERATION - loss: 0.97:  25%|██▌       | 16/63 [11:09<00:05,  8.52it/s]
ITERATION - loss: 1.54:  30%|███       | 19/63 [11:09<00:04, 10.52it/s]
ITERATION - loss: 0.57:  35%|███▍      | 22/63 [11:09<00:03, 12.06it/s]
ITERATION - loss: 1.66:  40%|███▉      | 25/63 [11:10<00:02, 14.10it/s]
ITERATION - loss: 0.86:  44%|████▍     | 28/63 [11:10<00:02, 15.20it/s]
ITERATION - loss: 0.58:  49%|████▉     | 31/63 [11:10<00:01, 16.83it/s]
ITERATION - loss: 1.13:  54%|█████▍    | 34/63 [11:10<00:01, 17.33it/s]
ITERATION - loss: 1.22:  59%|█████▊    | 37/63 [11:10<00:01, 18.54it/s]
ITERATION - loss: 1.11:  63%|██████▎   | 40/63 [11:10<00:01, 19.92it/s]
ITERATION - loss: 1.11:  68%|██████▊   | 43/63 [11:10<00:01, 19.72it/s]
ITERATION - loss: 0.96:  73%|███████▎  | 46/63 [11:11<00:00, 20.30it/s]
ITERATION - loss: 1.19:  78%|███████▊  | 49/63 [11:11<00:00, 20.06it/s]
ITERATION - loss: 2.04:  83%|████████▎ | 52/63 [11:11<00:00, 20.77it/s]
ITERATION - loss: 1.81:  87%|████████▋ | 55/63 [11:11<00:00, 20.49it/s]
ITERATION - loss: 1.13:  92%|█████████▏| 58/63 [11:11<00:00, 20.33it/s]
ITERATION - loss: 0.93:  97%|█████████▋| 61/63 [11:11<00:00, 20.77it/s]
ITERATION - loss: 1.36: 100%|██████████| 63/63 [11:11<00:00, 20.77it/s]
Training Results - Epoch: 97 Metrics: mse: 1.081, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.747, loss: 1.081

                                                                       

ITERATION - loss: 1.36:   0%|          | 0/63 [11:15<00:03, 20.77it/s]
                                                                      
Validation Results - Epoch: 97 Metrics: mse: 1.275, avep: 0.926, top5: 0.929, frac_mc: 0.869, top1: 0.966, mae: 0.781, loss: 1.275

ITERATION - loss: 1.36:   0%|          | 0/63 [11:16<00:03, 20.77it/s]
ITERATION - loss: 2.37:   5%|▍         | 3/63 [11:16<00:28,  2.13it/s]
ITERATION - loss: 0.59:   8%|▊         | 5/63 [11:16<00:19,  2.91it/s]
ITERATION - loss: 0.61:  13%|█▎        | 8/63 [11:16<00:13,  3.96it/s]
ITERATION - loss: 0.61:  16%|█▌        | 10/63 [11:16<00:10,  5.22it/s]
ITERATION - loss: 1.70:  19%|█▉        | 12/63 [11:16<00:07,  6.68it/s]
ITERATION - loss: 0.50:  24%|██▍       | 15/63 [11:16<00:05,  8.54it/s]
ITERATION - loss: 1.37:  29%|██▊       | 18/63 [11:16<00:04, 10.57it/s]
ITERATION - loss: 0.74:  33%|███▎      | 21/63 [11:16<00:03, 12.30it/s]
ITERATION - loss: 1.04:  38%|███▊      | 24/63 [11:17<00:02, 14.38it/s]
ITERATION - loss: 1.59:  43%|████▎     | 27/63 [11:17<00:02, 15.31it/s]
ITERATION - loss: 0.97:  48%|████▊     | 30/63 [11:17<00:01, 17.20it/s]
ITERATION - loss: 0.98:  52%|█████▏    | 33/63 [11:17<00:01, 18.83it/s]
ITERATION - loss: 1.56:  57%|█████▋    | 36/63 [11:17<00:01, 17.65it/s]
ITERATION - loss: 0.81:  62%|██████▏   | 39/63 [11:17<00:01, 16.75it/s]
ITERATION - loss: 0.59:  67%|██████▋   | 42/63 [11:18<00:01, 17.89it/s]
ITERATION - loss: 1.42:  71%|███████▏  | 45/63 [11:18<00:00, 19.14it/s]
ITERATION - loss: 1.35:  76%|███████▌  | 48/63 [11:18<00:00, 19.47it/s]
ITERATION - loss: 1.57:  81%|████████  | 51/63 [11:18<00:00, 20.14it/s]
ITERATION - loss: 1.31:  86%|████████▌ | 54/63 [11:18<00:00, 19.89it/s]
ITERATION - loss: 0.78:  90%|█████████ | 57/63 [11:18<00:00, 19.78it/s]
ITERATION - loss: 0.63:  95%|█████████▌| 60/63 [11:18<00:00, 19.52it/s]
ITERATION - loss: 0.99: 100%|██████████| 63/63 [11:19<00:00, 21.76it/s]
ITERATION - loss: 0.99: 100%|██████████| 63/63 [11:19<00:00, 21.76it/s]
                                                                       
Training Results - Epoch: 98 Metrics: mse: 1.069, avep: 0.932, top5: 0.938, frac_mc: 0.876, top1: 0.971, mae: 0.739, loss: 1.069

ITERATION - loss: 0.99:   0%|          | 0/63 [11:22<00:02, 21.76it/s]
                                                                      

Validation Results - Epoch: 98 Metrics: mse: 1.263, avep: 0.926, top5: 0.929, frac_mc: 0.869, top1: 0.966, mae: 0.772, loss: 1.263

ITERATION - loss: 0.99:   0%|          | 0/63 [11:22<00:02, 21.76it/s]
ITERATION - loss: 0.80:   5%|▍         | 3/63 [11:23<00:26,  2.29it/s]
ITERATION - loss: 0.70:   8%|▊         | 5/63 [11:23<00:18,  3.11it/s]
ITERATION - loss: 3.17:  13%|█▎        | 8/63 [11:23<00:13,  4.22it/s]
ITERATION - loss: 0.65:  17%|█▋        | 11/63 [11:23<00:09,  5.61it/s]
ITERATION - loss: 0.56:  22%|██▏       | 14/63 [11:23<00:06,  7.16it/s]
ITERATION - loss: 0.85:  27%|██▋       | 17/63 [11:23<00:05,  9.05it/s]
ITERATION - loss: 0.85:  32%|███▏      | 20/63 [11:23<00:03, 10.91it/s]
ITERATION - loss: 0.64:  37%|███▋      | 23/63 [11:23<00:03, 13.18it/s]
ITERATION - loss: 0.81:  41%|████▏     | 26/63 [11:24<00:02, 13.18it/s]
ITERATION - loss: 1.54:  46%|████▌     | 29/63 [11:24<00:02, 15.35it/s]
ITERATION - loss: 1.17:  51%|█████     | 32/63 [11:24<00:01, 17.51it/s]
ITERATION - loss: 0.91:  56%|█████▌    | 35/63 [11:24<00:01, 18.11it/s]
ITERATION - loss: 1.19:  60%|██████    | 38/63 [11:24<00:01, 19.33it/s]
ITERATION - loss: 1.48:  65%|██████▌   | 41/63 [11:24<00:01, 19.45it/s]
ITERATION - loss: 1.25:  70%|██████▉   | 44/63 [11:24<00:00, 20.49it/s]
ITERATION - loss: 0.72:  75%|███████▍  | 47/63 [11:25<00:00, 21.64it/s]
ITERATION - loss: 0.74:  79%|███████▉  | 50/63 [11:25<00:00, 20.65it/s]
ITERATION - loss: 1.13:  84%|████████▍ | 53/63 [11:25<00:00, 21.61it/s]
ITERATION - loss: 1.11:  89%|████████▉ | 56/63 [11:25<00:00, 22.17it/s]
ITERATION - loss: 0.73:  94%|█████████▎| 59/63 [11:25<00:00, 20.09it/s]
ITERATION - loss: 1.14:  98%|█████████▊| 62/63 [11:25<00:00, 19.90it/s]
ITERATION - loss: 0.80: 100%|██████████| 63/63 [11:25<00:00, 19.90it/s]
Training Results - Epoch: 99 Metrics: mse: 1.072, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.729, loss: 1.072

                                                                       

ITERATION - loss: 0.80:   0%|          | 0/63 [11:29<00:03, 19.90it/s]
                                                                      

Validation Results - Epoch: 99 Metrics: mse: 1.249, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.751, loss: 1.249

ITERATION - loss: 0.80:   0%|          | 0/63 [11:29<00:03, 19.90it/s]
ITERATION - loss: 0.93:   5%|▍         | 3/63 [11:30<00:27,  2.18it/s]
ITERATION - loss: 0.68:  10%|▉         | 6/63 [11:30<00:19,  2.98it/s]
ITERATION - loss: 0.81:  14%|█▍        | 9/63 [11:30<00:13,  4.04it/s]
ITERATION - loss: 0.84:  19%|█▉        | 12/63 [11:30<00:09,  5.39it/s]
ITERATION - loss: 0.79:  24%|██▍       | 15/63 [11:30<00:06,  6.93it/s]
ITERATION - loss: 0.69:  29%|██▊       | 18/63 [11:30<00:05,  8.76it/s]
ITERATION - loss: 0.74:  33%|███▎      | 21/63 [11:30<00:04, 10.44it/s]
ITERATION - loss: 1.46:  38%|███▊      | 24/63 [11:31<00:03, 12.48it/s]
ITERATION - loss: 1.00:  43%|████▎     | 27/63 [11:31<00:02, 14.65it/s]
ITERATION - loss: 1.00:  48%|████▊     | 30/63 [11:31<00:02, 15.64it/s]
ITERATION - loss: 0.80:  52%|█████▏    | 33/63 [11:31<00:01, 17.51it/s]
ITERATION - loss: 0.77:  57%|█████▋    | 36/63 [11:31<00:01, 18.00it/s]
ITERATION - loss: 0.62:  62%|██████▏   | 39/63 [11:31<00:01, 19.50it/s]
ITERATION - loss: 0.71:  67%|██████▋   | 42/63 [11:31<00:01, 19.82it/s]
ITERATION - loss: 0.75:  71%|███████▏  | 45/63 [11:32<00:00, 20.31it/s]
ITERATION - loss: 1.88:  76%|███████▌  | 48/63 [11:32<00:00, 19.45it/s]
ITERATION - loss: 1.44:  81%|████████  | 51/63 [11:32<00:00, 20.45it/s]
ITERATION - loss: 0.83:  86%|████████▌ | 54/63 [11:32<00:00, 21.72it/s]
ITERATION - loss: 1.37:  90%|█████████ | 57/63 [11:32<00:00, 21.50it/s]
ITERATION - loss: 0.90:  95%|█████████▌| 60/63 [11:32<00:00, 20.99it/s]
ITERATION - loss: 0.85: 100%|██████████| 63/63 [11:32<00:00, 20.43it/s]
ITERATION - loss: 0.85: 100%|██████████| 63/63 [11:32<00:00, 20.43it/s]
Training Results - Epoch: 100 Metrics: mse: 1.054, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.728, loss: 1.054

                                                                       

ITERATION - loss: 0.85:   0%|          | 0/63 [11:36<00:03, 20.43it/s]
                                                                      

Validation Results - Epoch: 100 Metrics: mse: 1.238, avep: 0.925, top5: 0.930, frac_mc: 0.867, top1: 0.964, mae: 0.756, loss: 1.238

ITERATION - loss: 0.85:   0%|          | 0/63 [11:36<00:03, 20.43it/s]
ITERATION - loss: 0.68:   5%|▍         | 3/63 [11:37<00:27,  2.19it/s]
ITERATION - loss: 1.28:   8%|▊         | 5/63 [11:37<00:19,  2.98it/s]
ITERATION - loss: 0.50:  13%|█▎        | 8/63 [11:37<00:13,  4.02it/s]
ITERATION - loss: 0.86:  17%|█▋        | 11/63 [11:37<00:09,  5.29it/s]
ITERATION - loss: 0.78:  22%|██▏       | 14/63 [11:37<00:07,  6.86it/s]
ITERATION - loss: 0.52:  27%|██▋       | 17/63 [11:37<00:05,  8.68it/s]
ITERATION - loss: 1.63:  32%|███▏      | 20/63 [11:37<00:04, 10.65it/s]
ITERATION - loss: 1.15:  37%|███▋      | 23/63 [11:38<00:03, 12.79it/s]
ITERATION - loss: 1.13:  41%|████▏     | 26/63 [11:38<00:02, 14.94it/s]
ITERATION - loss: 0.74:  46%|████▌     | 29/63 [11:38<00:02, 16.50it/s]
ITERATION - loss: 0.66:  51%|█████     | 32/63 [11:38<00:01, 17.91it/s]
ITERATION - loss: 1.10:  56%|█████▌    | 35/63 [11:38<00:01, 18.32it/s]
ITERATION - loss: 1.18:  60%|██████    | 38/63 [11:38<00:01, 18.70it/s]
ITERATION - loss: 1.36:  65%|██████▌   | 41/63 [11:38<00:01, 19.82it/s]
ITERATION - loss: 1.22:  70%|██████▉   | 44/63 [11:39<00:00, 20.50it/s]
ITERATION - loss: 1.25:  75%|███████▍  | 47/63 [11:39<00:00, 19.54it/s]
ITERATION - loss: 1.59:  79%|███████▉  | 50/63 [11:39<00:00, 20.01it/s]
ITERATION - loss: 1.29:  84%|████████▍ | 53/63 [11:39<00:00, 20.44it/s]
ITERATION - loss: 1.07:  89%|████████▉ | 56/63 [11:39<00:00, 20.31it/s]
ITERATION - loss: 1.29:  94%|█████████▎| 59/63 [11:39<00:00, 21.04it/s]
ITERATION - loss: 0.60:  98%|█████████▊| 62/63 [11:39<00:00, 19.81it/s]
ITERATION - loss: 0.68: 100%|██████████| 63/63 [11:39<00:00, 19.81it/s]
                                                                       

Training Results - Epoch: 101 Metrics: mse: 1.053, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.729, loss: 1.053

ITERATION - loss: 0.68:   0%|          | 0/63 [11:43<00:03, 19.81it/s]
                                                                      
Validation Results - Epoch: 101 Metrics: mse: 1.239, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.757, loss: 1.239

ITERATION - loss: 0.68:   0%|          | 0/63 [11:43<00:03, 19.81it/s]
ITERATION - loss: 1.23:   5%|▍         | 3/63 [11:44<00:27,  2.22it/s]
ITERATION - loss: 0.56:   8%|▊         | 5/63 [11:44<00:19,  3.02it/s]
ITERATION - loss: 0.91:  11%|█         | 7/63 [11:44<00:14,  3.82it/s]
ITERATION - loss: 0.82:  16%|█▌        | 10/63 [11:44<00:10,  5.12it/s]
ITERATION - loss: 1.03:  19%|█▉        | 12/63 [11:44<00:07,  6.54it/s]
ITERATION - loss: 0.79:  24%|██▍       | 15/63 [11:44<00:05,  8.37it/s]
ITERATION - loss: 0.57:  29%|██▊       | 18/63 [11:44<00:04, 10.52it/s]
ITERATION - loss: 1.11:  33%|███▎      | 21/63 [11:44<00:03, 12.35it/s]
ITERATION - loss: 0.84:  38%|███▊      | 24/63 [11:45<00:02, 14.08it/s]
ITERATION - loss: 0.88:  43%|████▎     | 27/63 [11:45<00:02, 15.63it/s]
ITERATION - loss: 1.06:  48%|████▊     | 30/63 [11:45<00:01, 17.61it/s]
ITERATION - loss: 0.97:  52%|█████▏    | 33/63 [11:45<00:01, 18.99it/s]
ITERATION - loss: 1.75:  57%|█████▋    | 36/63 [11:45<00:01, 19.56it/s]
ITERATION - loss: 0.76:  62%|██████▏   | 39/63 [11:45<00:01, 20.72it/s]
ITERATION - loss: 0.73:  67%|██████▋   | 42/63 [11:45<00:01, 20.92it/s]
ITERATION - loss: 0.91:  71%|███████▏  | 45/63 [11:46<00:00, 20.80it/s]
ITERATION - loss: 1.15:  76%|███████▌  | 48/63 [11:46<00:00, 20.87it/s]
ITERATION - loss: 0.68:  81%|████████  | 51/63 [11:46<00:00, 19.83it/s]
ITERATION - loss: 0.86:  86%|████████▌ | 54/63 [11:46<00:00, 20.94it/s]
ITERATION - loss: 0.52:  90%|█████████ | 57/63 [11:46<00:00, 20.72it/s]
ITERATION - loss: 1.07:  95%|█████████▌| 60/63 [11:46<00:00, 21.26it/s]
ITERATION - loss: 0.38: 100%|██████████| 63/63 [11:46<00:00, 21.29it/s]
ITERATION - loss: 0.38: 100%|██████████| 63/63 [11:46<00:00, 21.29it/s]
                                                                       

Training Results - Epoch: 102 Metrics: mse: 1.053, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.729, loss: 1.053

ITERATION - loss: 0.38:   0%|          | 0/63 [11:50<00:02, 21.29it/s]
                                                                      

Validation Results - Epoch: 102 Metrics: mse: 1.239, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.757, loss: 1.239

ITERATION - loss: 0.38:   0%|          | 0/63 [11:50<00:02, 21.29it/s]
ITERATION - loss: 0.96:   5%|▍         | 3/63 [11:51<00:27,  2.21it/s]
ITERATION - loss: 0.76:  10%|▉         | 6/63 [11:51<00:18,  3.02it/s]
ITERATION - loss: 0.98:  14%|█▍        | 9/63 [11:51<00:13,  4.07it/s]
ITERATION - loss: 0.60:  19%|█▉        | 12/63 [11:51<00:09,  5.31it/s]
ITERATION - loss: 0.66:  24%|██▍       | 15/63 [11:51<00:06,  6.95it/s]
ITERATION - loss: 0.75:  29%|██▊       | 18/63 [11:51<00:05,  8.85it/s]
ITERATION - loss: 0.95:  33%|███▎      | 21/63 [11:51<00:03, 10.69it/s]
ITERATION - loss: 1.29:  38%|███▊      | 24/63 [11:52<00:03, 12.82it/s]
ITERATION - loss: 1.11:  43%|████▎     | 27/63 [11:52<00:02, 14.73it/s]
ITERATION - loss: 0.80:  48%|████▊     | 30/63 [11:52<00:02, 15.69it/s]
ITERATION - loss: 1.49:  52%|█████▏    | 33/63 [11:52<00:01, 17.49it/s]
ITERATION - loss: 1.94:  57%|█████▋    | 36/63 [11:52<00:01, 18.29it/s]
ITERATION - loss: 0.66:  62%|██████▏   | 39/63 [11:52<00:01, 19.96it/s]
ITERATION - loss: 0.69:  67%|██████▋   | 42/63 [11:52<00:01, 19.92it/s]
ITERATION - loss: 1.48:  71%|███████▏  | 45/63 [11:53<00:00, 20.54it/s]
ITERATION - loss: 0.88:  76%|███████▌  | 48/63 [11:53<00:00, 20.76it/s]
ITERATION - loss: 0.65:  81%|████████  | 51/63 [11:53<00:00, 20.39it/s]
ITERATION - loss: 0.99:  86%|████████▌ | 54/63 [11:53<00:00, 20.30it/s]
ITERATION - loss: 1.02:  90%|█████████ | 57/63 [11:53<00:00, 20.26it/s]
ITERATION - loss: 1.12:  95%|█████████▌| 60/63 [11:53<00:00, 21.11it/s]
ITERATION - loss: 0.58: 100%|██████████| 63/63 [11:53<00:00, 21.11it/s]
                                                                       

Training Results - Epoch: 103 Metrics: mse: 1.053, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.728, loss: 1.053

ITERATION - loss: 0.58:   0%|          | 0/63 [11:57<00:02, 21.11it/s]
                                                                      

Validation Results - Epoch: 103 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.755, loss: 1.237

ITERATION - loss: 0.58:   0%|          | 0/63 [11:58<00:02, 21.11it/s]
ITERATION - loss: 0.84:   5%|▍         | 3/63 [11:58<00:28,  2.12it/s]
ITERATION - loss: 1.09:  10%|▉         | 6/63 [11:58<00:19,  2.91it/s]
ITERATION - loss: 0.86:  14%|█▍        | 9/63 [11:58<00:13,  3.94it/s]
ITERATION - loss: 1.03:  19%|█▉        | 12/63 [11:58<00:09,  5.20it/s]
ITERATION - loss: 0.77:  24%|██▍       | 15/63 [11:58<00:07,  6.74it/s]
ITERATION - loss: 0.72:  29%|██▊       | 18/63 [11:58<00:05,  8.45it/s]
ITERATION - loss: 1.10:  33%|███▎      | 21/63 [11:58<00:04, 10.18it/s]
ITERATION - loss: 1.32:  38%|███▊      | 24/63 [11:59<00:03, 12.32it/s]
ITERATION - loss: 1.38:  43%|████▎     | 27/63 [11:59<00:02, 14.16it/s]
ITERATION - loss: 1.55:  48%|████▊     | 30/63 [11:59<00:02, 15.90it/s]
ITERATION - loss: 1.45:  52%|█████▏    | 33/63 [11:59<00:01, 17.36it/s]
ITERATION - loss: 0.63:  57%|█████▋    | 36/63 [11:59<00:01, 18.71it/s]
ITERATION - loss: 0.84:  62%|██████▏   | 39/63 [11:59<00:01, 19.94it/s]
ITERATION - loss: 1.06:  67%|██████▋   | 42/63 [11:59<00:01, 19.97it/s]
ITERATION - loss: 1.09:  71%|███████▏  | 45/63 [12:00<00:00, 20.85it/s]
ITERATION - loss: 0.49:  76%|███████▌  | 48/63 [12:00<00:00, 22.25it/s]
ITERATION - loss: 0.61:  81%|████████  | 51/63 [12:00<00:00, 21.56it/s]
ITERATION - loss: 0.97:  86%|████████▌ | 54/63 [12:00<00:00, 21.62it/s]
ITERATION - loss: 0.63:  90%|█████████ | 57/63 [12:00<00:00, 21.10it/s]
ITERATION - loss: 1.20:  95%|█████████▌| 60/63 [12:00<00:00, 21.92it/s]
ITERATION - loss: 0.50: 100%|██████████| 63/63 [12:00<00:00, 23.53it/s]
ITERATION - loss: 0.50: 100%|██████████| 63/63 [12:00<00:00, 23.53it/s]
                                                                       

Training Results - Epoch: 104 Metrics: mse: 1.054, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.054

ITERATION - loss: 0.50:   0%|          | 0/63 [12:04<00:02, 23.53it/s]
                                                                      

Validation Results - Epoch: 104 Metrics: mse: 1.238, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.752, loss: 1.238

ITERATION - loss: 0.50:   0%|          | 0/63 [12:05<00:02, 23.53it/s]
ITERATION - loss: 1.17:   5%|▍         | 3/63 [12:05<00:27,  2.16it/s]
ITERATION - loss: 0.74:   8%|▊         | 5/63 [12:05<00:19,  2.95it/s]
ITERATION - loss: 0.97:  13%|█▎        | 8/63 [12:05<00:13,  4.01it/s]
ITERATION - loss: 1.31:  17%|█▋        | 11/63 [12:05<00:09,  5.36it/s]
ITERATION - loss: 1.12:  22%|██▏       | 14/63 [12:05<00:07,  6.89it/s]
ITERATION - loss: 1.00:  27%|██▋       | 17/63 [12:05<00:05,  8.76it/s]
ITERATION - loss: 0.90:  32%|███▏      | 20/63 [12:05<00:04, 10.58it/s]
ITERATION - loss: 1.23:  37%|███▋      | 23/63 [12:06<00:03, 12.81it/s]
ITERATION - loss: 0.94:  41%|████▏     | 26/63 [12:06<00:02, 14.78it/s]
ITERATION - loss: 0.71:  46%|████▌     | 29/63 [12:06<00:02, 15.98it/s]
ITERATION - loss: 0.56:  51%|█████     | 32/63 [12:06<00:01, 17.61it/s]
ITERATION - loss: 0.85:  56%|█████▌    | 35/63 [12:06<00:01, 17.83it/s]
ITERATION - loss: 1.38:  60%|██████    | 38/63 [12:06<00:01, 18.74it/s]
ITERATION - loss: 1.39:  65%|██████▌   | 41/63 [12:06<00:01, 19.70it/s]
ITERATION - loss: 1.26:  70%|██████▉   | 44/63 [12:07<00:00, 19.84it/s]
ITERATION - loss: 1.16:  75%|███████▍  | 47/63 [12:07<00:00, 20.60it/s]
ITERATION - loss: 1.11:  79%|███████▉  | 50/63 [12:07<00:00, 20.33it/s]
ITERATION - loss: 0.60:  84%|████████▍ | 53/63 [12:07<00:00, 20.98it/s]
ITERATION - loss: 1.11:  89%|████████▉ | 56/63 [12:07<00:00, 20.49it/s]
ITERATION - loss: 0.58:  94%|█████████▎| 59/63 [12:07<00:00, 21.19it/s]
ITERATION - loss: 0.76:  98%|█████████▊| 62/63 [12:07<00:00, 21.78it/s]
ITERATION - loss: 1.27: 100%|██████████| 63/63 [12:07<00:00, 21.78it/s]
                                                                       

Training Results - Epoch: 105 Metrics: mse: 1.053, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.970, mae: 0.727, loss: 1.053

ITERATION - loss: 1.27:   0%|          | 0/63 [12:11<00:02, 21.78it/s]
                                                                      

Validation Results - Epoch: 105 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.752, loss: 1.237

ITERATION - loss: 1.27:   0%|          | 0/63 [12:12<00:02, 21.78it/s]
ITERATION - loss: 0.65:   5%|▍         | 3/63 [12:12<00:27,  2.18it/s]
ITERATION - loss: 0.65:   8%|▊         | 5/63 [12:12<00:19,  2.96it/s]
ITERATION - loss: 0.81:  13%|█▎        | 8/63 [12:12<00:13,  4.01it/s]
ITERATION - loss: 1.96:  17%|█▋        | 11/63 [12:12<00:09,  5.24it/s]
ITERATION - loss: 0.89:  22%|██▏       | 14/63 [12:12<00:07,  6.85it/s]
ITERATION - loss: 0.78:  27%|██▋       | 17/63 [12:12<00:05,  8.75it/s]
ITERATION - loss: 0.77:  32%|███▏      | 20/63 [12:12<00:04, 10.50it/s]
ITERATION - loss: 1.18:  37%|███▋      | 23/63 [12:13<00:03, 12.24it/s]
ITERATION - loss: 1.51:  41%|████▏     | 26/63 [12:13<00:02, 13.10it/s]
ITERATION - loss: 0.83:  46%|████▌     | 29/63 [12:13<00:02, 15.34it/s]
ITERATION - loss: 0.87:  51%|█████     | 32/63 [12:13<00:01, 17.41it/s]
ITERATION - loss: 0.93:  56%|█████▌    | 35/63 [12:13<00:01, 18.41it/s]
ITERATION - loss: 0.65:  60%|██████    | 38/63 [12:13<00:01, 19.80it/s]
ITERATION - loss: 0.94:  65%|██████▌   | 41/63 [12:13<00:01, 20.19it/s]
ITERATION - loss: 0.94:  70%|██████▉   | 44/63 [12:14<00:00, 20.29it/s]
ITERATION - loss: 1.74:  75%|███████▍  | 47/63 [12:14<00:00, 19.54it/s]
ITERATION - loss: 0.93:  79%|███████▉  | 50/63 [12:14<00:00, 20.13it/s]
ITERATION - loss: 0.91:  84%|████████▍ | 53/63 [12:14<00:00, 21.01it/s]
ITERATION - loss: 1.01:  89%|████████▉ | 56/63 [12:14<00:00, 17.74it/s]
ITERATION - loss: 1.19:  94%|█████████▎| 59/63 [12:14<00:00, 18.38it/s]
ITERATION - loss: 0.89:  98%|█████████▊| 62/63 [12:15<00:00, 19.07it/s]
ITERATION - loss: 0.69: 100%|██████████| 63/63 [12:15<00:00, 19.07it/s]
Training Results - Epoch: 106 Metrics: mse: 1.052, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.728, loss: 1.052

                                                                       

ITERATION - loss: 0.69:   0%|          | 0/63 [12:18<00:03, 19.07it/s]
Validation Results - Epoch: 106 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.756, loss: 1.237

                                                                      

ITERATION - loss: 0.69:   0%|          | 0/63 [12:19<00:03, 19.07it/s]
ITERATION - loss: 1.22:   3%|▎         | 2/63 [12:19<00:39,  1.54it/s]
ITERATION - loss: 0.75:   8%|▊         | 5/63 [12:19<00:27,  2.12it/s]
ITERATION - loss: 1.09:  13%|█▎        | 8/63 [12:19<00:18,  2.93it/s]
ITERATION - loss: 0.74:  17%|█▋        | 11/63 [12:19<00:13,  4.00it/s]
ITERATION - loss: 1.17:  22%|██▏       | 14/63 [12:19<00:09,  5.26it/s]
ITERATION - loss: 1.94:  27%|██▋       | 17/63 [12:19<00:06,  6.86it/s]
ITERATION - loss: 1.83:  32%|███▏      | 20/63 [12:19<00:04,  8.75it/s]
ITERATION - loss: 1.05:  37%|███▋      | 23/63 [12:20<00:03, 10.60it/s]
ITERATION - loss: 1.25:  41%|████▏     | 26/63 [12:20<00:02, 12.88it/s]
ITERATION - loss: 1.04:  46%|████▌     | 29/63 [12:20<00:02, 14.48it/s]
ITERATION - loss: 0.77:  51%|█████     | 32/63 [12:20<00:01, 15.85it/s]
ITERATION - loss: 0.56:  56%|█████▌    | 35/63 [12:20<00:01, 15.92it/s]
ITERATION - loss: 0.75:  60%|██████    | 38/63 [12:20<00:01, 15.71it/s]
ITERATION - loss: 1.11:  63%|██████▎   | 40/63 [12:20<00:01, 15.72it/s]
ITERATION - loss: 0.83:  67%|██████▋   | 42/63 [12:21<00:01, 16.60it/s]
ITERATION - loss: 1.15:  70%|██████▉   | 44/63 [12:21<00:01, 16.83it/s]
ITERATION - loss: 0.65:  73%|███████▎  | 46/63 [12:21<00:01, 16.48it/s]
ITERATION - loss: 2.10:  78%|███████▊  | 49/63 [12:21<00:00, 18.66it/s]
ITERATION - loss: 0.84:  83%|████████▎ | 52/63 [12:21<00:00, 19.58it/s]
ITERATION - loss: 0.88:  87%|████████▋ | 55/63 [12:21<00:00, 19.85it/s]
ITERATION - loss: 0.68:  92%|█████████▏| 58/63 [12:21<00:00, 19.94it/s]
ITERATION - loss: 2.41:  97%|█████████▋| 61/63 [12:22<00:00, 19.23it/s]
ITERATION - loss: 1.64: 100%|██████████| 63/63 [12:22<00:00, 19.23it/s]
                                                                       

Training Results - Epoch: 107 Metrics: mse: 1.051, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.051

ITERATION - loss: 1.64:   0%|          | 0/63 [12:25<00:03, 19.23it/s]
                                                                      

Validation Results - Epoch: 107 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.755, loss: 1.237

ITERATION - loss: 1.64:   0%|          | 0/63 [12:26<00:03, 19.23it/s]
ITERATION - loss: 0.80:   3%|▎         | 2/63 [12:26<00:41,  1.47it/s]
ITERATION - loss: 1.21:   8%|▊         | 5/63 [12:26<00:28,  2.05it/s]
ITERATION - loss: 1.47:  11%|█         | 7/63 [12:26<00:20,  2.79it/s]
ITERATION - loss: 1.15:  16%|█▌        | 10/63 [12:26<00:14,  3.77it/s]
ITERATION - loss: 2.56:  21%|██        | 13/63 [12:26<00:09,  5.03it/s]
ITERATION - loss: 0.77:  24%|██▍       | 15/63 [12:26<00:07,  6.46it/s]
ITERATION - loss: 1.00:  29%|██▊       | 18/63 [12:27<00:05,  8.23it/s]
ITERATION - loss: 1.28:  33%|███▎      | 21/63 [12:27<00:04, 10.26it/s]
ITERATION - loss: 1.81:  38%|███▊      | 24/63 [12:27<00:03, 11.97it/s]
ITERATION - loss: 1.39:  43%|████▎     | 27/63 [12:27<00:02, 13.40it/s]
ITERATION - loss: 0.98:  48%|████▊     | 30/63 [12:27<00:02, 14.85it/s]
ITERATION - loss: 0.50:  52%|█████▏    | 33/63 [12:27<00:01, 17.02it/s]
ITERATION - loss: 0.88:  57%|█████▋    | 36/63 [12:27<00:01, 17.93it/s]
ITERATION - loss: 0.63:  62%|██████▏   | 39/63 [12:28<00:01, 19.70it/s]
ITERATION - loss: 1.60:  67%|██████▋   | 42/63 [12:28<00:01, 20.43it/s]
ITERATION - loss: 1.11:  71%|███████▏  | 45/63 [12:28<00:00, 20.87it/s]
ITERATION - loss: 1.42:  76%|███████▌  | 48/63 [12:28<00:00, 21.76it/s]
ITERATION - loss: 0.92:  81%|████████  | 51/63 [12:28<00:00, 20.93it/s]
ITERATION - loss: 0.80:  86%|████████▌ | 54/63 [12:28<00:00, 22.55it/s]
ITERATION - loss: 0.65:  90%|█████████ | 57/63 [12:28<00:00, 23.36it/s]
ITERATION - loss: 1.00:  95%|█████████▌| 60/63 [12:28<00:00, 22.62it/s]
ITERATION - loss: 1.96: 100%|██████████| 63/63 [12:29<00:00, 22.62it/s]
Training Results - Epoch: 108 Metrics: mse: 1.051, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.051

                                                                       

ITERATION - loss: 1.96:   0%|          | 0/63 [12:32<00:02, 22.62it/s]
                                                                      

Validation Results - Epoch: 108 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.753, loss: 1.237

ITERATION - loss: 1.96:   0%|          | 0/63 [12:33<00:02, 22.62it/s]
ITERATION - loss: 1.03:   5%|▍         | 3/63 [12:33<00:27,  2.19it/s]
ITERATION - loss: 0.85:   8%|▊         | 5/63 [12:33<00:19,  2.98it/s]
ITERATION - loss: 0.53:  13%|█▎        | 8/63 [12:33<00:13,  4.03it/s]
ITERATION - loss: 0.62:  17%|█▋        | 11/63 [12:33<00:09,  5.39it/s]
ITERATION - loss: 0.92:  22%|██▏       | 14/63 [12:33<00:06,  7.01it/s]
ITERATION - loss: 1.79:  27%|██▋       | 17/63 [12:33<00:05,  8.77it/s]
ITERATION - loss: 2.64:  32%|███▏      | 20/63 [12:34<00:04, 10.40it/s]
ITERATION - loss: 1.26:  37%|███▋      | 23/63 [12:34<00:03, 12.40it/s]
ITERATION - loss: 0.97:  41%|████▏     | 26/63 [12:34<00:02, 13.81it/s]
ITERATION - loss: 0.61:  46%|████▌     | 29/63 [12:34<00:02, 15.23it/s]
ITERATION - loss: 0.89:  51%|█████     | 32/63 [12:34<00:01, 16.26it/s]
ITERATION - loss: 1.06:  56%|█████▌    | 35/63 [12:34<00:01, 17.87it/s]
ITERATION - loss: 0.98:  60%|██████    | 38/63 [12:34<00:01, 15.39it/s]
ITERATION - loss: 1.00:  65%|██████▌   | 41/63 [12:35<00:01, 17.44it/s]
ITERATION - loss: 0.61:  70%|██████▉   | 44/63 [12:35<00:00, 19.03it/s]
ITERATION - loss: 0.80:  75%|███████▍  | 47/63 [12:35<00:00, 19.77it/s]
ITERATION - loss: 1.00:  79%|███████▉  | 50/63 [12:35<00:00, 20.03it/s]
ITERATION - loss: 1.04:  84%|████████▍ | 53/63 [12:35<00:00, 20.11it/s]
ITERATION - loss: 0.59:  89%|████████▉ | 56/63 [12:35<00:00, 20.65it/s]
ITERATION - loss: 0.76:  94%|█████████▎| 59/63 [12:35<00:00, 20.46it/s]
ITERATION - loss: 1.14:  98%|█████████▊| 62/63 [12:36<00:00, 20.30it/s]
ITERATION - loss: 0.94: 100%|██████████| 63/63 [12:36<00:00, 20.30it/s]
                                                                       

Training Results - Epoch: 109 Metrics: mse: 1.050, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.050

ITERATION - loss: 0.94:   0%|          | 0/63 [12:39<00:03, 20.30it/s]
                                                                      

Validation Results - Epoch: 109 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.755, loss: 1.237

ITERATION - loss: 0.94:   0%|          | 0/63 [12:40<00:03, 20.30it/s]
ITERATION - loss: 0.67:   5%|▍         | 3/63 [12:40<00:27,  2.19it/s]
ITERATION - loss: 1.67:   8%|▊         | 5/63 [12:40<00:19,  2.98it/s]
ITERATION - loss: 0.74:  13%|█▎        | 8/63 [12:40<00:13,  3.99it/s]
ITERATION - loss: 0.97:  17%|█▋        | 11/63 [12:40<00:09,  5.25it/s]
ITERATION - loss: 0.61:  22%|██▏       | 14/63 [12:40<00:07,  6.79it/s]
ITERATION - loss: 0.63:  25%|██▌       | 16/63 [12:40<00:05,  8.41it/s]
ITERATION - loss: 0.55:  30%|███       | 19/63 [12:41<00:04, 10.51it/s]
ITERATION - loss: 1.25:  35%|███▍      | 22/63 [12:41<00:03, 12.56it/s]
ITERATION - loss: 1.53:  40%|███▉      | 25/63 [12:41<00:02, 14.24it/s]
ITERATION - loss: 1.41:  44%|████▍     | 28/63 [12:41<00:02, 16.21it/s]
ITERATION - loss: 1.26:  49%|████▉     | 31/63 [12:41<00:01, 17.41it/s]
ITERATION - loss: 1.00:  54%|█████▍    | 34/63 [12:41<00:01, 19.04it/s]
ITERATION - loss: 0.78:  59%|█████▊    | 37/63 [12:41<00:01, 20.36it/s]
ITERATION - loss: 0.88:  63%|██████▎   | 40/63 [12:42<00:01, 19.78it/s]
ITERATION - loss: 0.92:  68%|██████▊   | 43/63 [12:42<00:00, 21.44it/s]
ITERATION - loss: 1.26:  73%|███████▎  | 46/63 [12:42<00:00, 20.35it/s]
ITERATION - loss: 0.82:  78%|███████▊  | 49/63 [12:42<00:00, 20.38it/s]
ITERATION - loss: 1.57:  83%|████████▎ | 52/63 [12:42<00:00, 19.89it/s]
ITERATION - loss: 0.54:  87%|████████▋ | 55/63 [12:42<00:00, 20.32it/s]
ITERATION - loss: 0.57:  92%|█████████▏| 58/63 [12:42<00:00, 21.87it/s]
ITERATION - loss: 0.80:  97%|█████████▋| 61/63 [12:43<00:00, 21.48it/s]
ITERATION - loss: 0.64: 100%|██████████| 63/63 [12:43<00:00, 21.48it/s]
                                                                       

Training Results - Epoch: 110 Metrics: mse: 1.050, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.050

ITERATION - loss: 0.64:   0%|          | 0/63 [12:46<00:02, 21.48it/s]
                                                                      

Validation Results - Epoch: 110 Metrics: mse: 1.235, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.753, loss: 1.235

ITERATION - loss: 0.64:   0%|          | 0/63 [12:47<00:02, 21.48it/s]
ITERATION - loss: 1.38:   5%|▍         | 3/63 [12:47<00:27,  2.18it/s]
ITERATION - loss: 0.98:  10%|▉         | 6/63 [12:47<00:19,  2.99it/s]
ITERATION - loss: 1.03:  14%|█▍        | 9/63 [12:47<00:13,  4.05it/s]
ITERATION - loss: 0.87:  17%|█▋        | 11/63 [12:47<00:09,  5.28it/s]
ITERATION - loss: 0.87:  22%|██▏       | 14/63 [12:47<00:07,  6.91it/s]
ITERATION - loss: 0.64:  27%|██▋       | 17/63 [12:47<00:05,  8.72it/s]
ITERATION - loss: 0.95:  32%|███▏      | 20/63 [12:48<00:03, 10.80it/s]
ITERATION - loss: 0.88:  37%|███▋      | 23/63 [12:48<00:03, 13.03it/s]
ITERATION - loss: 0.99:  41%|████▏     | 26/63 [12:48<00:02, 14.64it/s]
ITERATION - loss: 1.06:  46%|████▌     | 29/63 [12:48<00:02, 16.64it/s]
ITERATION - loss: 0.77:  51%|█████     | 32/63 [12:48<00:01, 18.42it/s]
ITERATION - loss: 0.85:  56%|█████▌    | 35/63 [12:48<00:01, 18.12it/s]
ITERATION - loss: 0.89:  60%|██████    | 38/63 [12:48<00:01, 18.92it/s]
ITERATION - loss: 0.86:  65%|██████▌   | 41/63 [12:49<00:01, 18.62it/s]
ITERATION - loss: 1.20:  70%|██████▉   | 44/63 [12:49<00:00, 19.29it/s]
ITERATION - loss: 0.58:  75%|███████▍  | 47/63 [12:49<00:00, 19.84it/s]
ITERATION - loss: 1.05:  79%|███████▉  | 50/63 [12:49<00:00, 21.32it/s]
ITERATION - loss: 1.41:  84%|████████▍ | 53/63 [12:49<00:00, 20.05it/s]
ITERATION - loss: 1.16:  89%|████████▉ | 56/63 [12:49<00:00, 21.65it/s]
ITERATION - loss: 0.91:  94%|█████████▎| 59/63 [12:49<00:00, 22.70it/s]
ITERATION - loss: 0.88:  98%|█████████▊| 62/63 [12:49<00:00, 21.40it/s]
ITERATION - loss: 0.82: 100%|██████████| 63/63 [12:50<00:00, 21.40it/s]
Training Results - Epoch: 111 Metrics: mse: 1.053, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.731, loss: 1.053

                                                                       

ITERATION - loss: 0.82:   0%|          | 0/63 [12:53<00:02, 21.40it/s]
                                                                      

Validation Results - Epoch: 111 Metrics: mse: 1.243, avep: 0.926, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.761, loss: 1.243

ITERATION - loss: 0.82:   0%|          | 0/63 [12:54<00:02, 21.40it/s]
ITERATION - loss: 0.70:   5%|▍         | 3/63 [12:54<00:26,  2.22it/s]
ITERATION - loss: 1.08:  10%|▉         | 6/63 [12:54<00:18,  3.03it/s]
ITERATION - loss: 0.67:  14%|█▍        | 9/63 [12:54<00:13,  4.12it/s]
ITERATION - loss: 1.32:  19%|█▉        | 12/63 [12:54<00:09,  5.48it/s]
ITERATION - loss: 0.69:  24%|██▍       | 15/63 [12:54<00:06,  7.07it/s]
ITERATION - loss: 0.47:  29%|██▊       | 18/63 [12:54<00:04,  9.08it/s]
ITERATION - loss: 0.80:  33%|███▎      | 21/63 [12:54<00:03, 10.88it/s]
ITERATION - loss: 1.10:  38%|███▊      | 24/63 [12:55<00:03, 11.62it/s]
ITERATION - loss: 0.81:  43%|████▎     | 27/63 [12:55<00:02, 13.26it/s]
ITERATION - loss: 0.72:  48%|████▊     | 30/63 [12:55<00:02, 15.37it/s]
ITERATION - loss: 2.07:  52%|█████▏    | 33/63 [12:55<00:01, 17.10it/s]
ITERATION - loss: 1.04:  57%|█████▋    | 36/63 [12:55<00:01, 17.78it/s]
ITERATION - loss: 2.35:  62%|██████▏   | 39/63 [12:55<00:01, 18.88it/s]
ITERATION - loss: 0.68:  67%|██████▋   | 42/63 [12:56<00:01, 19.38it/s]
ITERATION - loss: 0.84:  71%|███████▏  | 45/63 [12:56<00:00, 20.42it/s]
ITERATION - loss: 1.18:  76%|███████▌  | 48/63 [12:56<00:00, 20.71it/s]
ITERATION - loss: 0.64:  81%|████████  | 51/63 [12:56<00:00, 20.42it/s]
ITERATION - loss: 1.60:  86%|████████▌ | 54/63 [12:56<00:00, 20.60it/s]
ITERATION - loss: 1.75:  90%|█████████ | 57/63 [12:56<00:00, 20.56it/s]
ITERATION - loss: 0.94:  95%|█████████▌| 60/63 [12:56<00:00, 21.55it/s]
ITERATION - loss: 0.87: 100%|██████████| 63/63 [12:56<00:00, 23.53it/s]
ITERATION - loss: 0.87: 100%|██████████| 63/63 [12:56<00:00, 23.53it/s]
                                                                       

Training Results - Epoch: 112 Metrics: mse: 1.054, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.726, loss: 1.054

ITERATION - loss: 0.87:   0%|          | 0/63 [13:00<00:02, 23.53it/s]
                                                                      

Validation Results - Epoch: 112 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.751, loss: 1.237

ITERATION - loss: 0.87:   0%|          | 0/63 [13:01<00:02, 23.53it/s]
ITERATION - loss: 0.74:   5%|▍         | 3/63 [13:01<00:27,  2.21it/s]
ITERATION - loss: 1.01:  10%|▉         | 6/63 [13:01<00:18,  3.01it/s]
ITERATION - loss: 0.82:  14%|█▍        | 9/63 [13:01<00:13,  4.08it/s]
ITERATION - loss: 1.74:  19%|█▉        | 12/63 [13:01<00:09,  5.48it/s]
ITERATION - loss: 0.88:  24%|██▍       | 15/63 [13:01<00:06,  7.03it/s]
ITERATION - loss: 0.97:  29%|██▊       | 18/63 [13:01<00:05,  8.79it/s]
ITERATION - loss: 1.02:  33%|███▎      | 21/63 [13:01<00:03, 10.68it/s]
ITERATION - loss: 0.60:  38%|███▊      | 24/63 [13:02<00:03, 12.49it/s]
ITERATION - loss: 0.48:  43%|████▎     | 27/63 [13:02<00:02, 14.62it/s]
ITERATION - loss: 1.94:  48%|████▊     | 30/63 [13:02<00:02, 16.12it/s]
ITERATION - loss: 1.03:  52%|█████▏    | 33/63 [13:02<00:01, 17.26it/s]
ITERATION - loss: 1.60:  57%|█████▋    | 36/63 [13:02<00:01, 18.17it/s]
ITERATION - loss: 0.84:  62%|██████▏   | 39/63 [13:02<00:01, 19.78it/s]
ITERATION - loss: 1.29:  67%|██████▋   | 42/63 [13:02<00:01, 19.34it/s]
ITERATION - loss: 1.47:  71%|███████▏  | 45/63 [13:03<00:00, 20.37it/s]
ITERATION - loss: 0.80:  76%|███████▌  | 48/63 [13:03<00:00, 21.25it/s]
ITERATION - loss: 1.73:  81%|████████  | 51/63 [13:03<00:00, 20.90it/s]
ITERATION - loss: 0.87:  86%|████████▌ | 54/63 [13:03<00:00, 20.93it/s]
ITERATION - loss: 0.61:  90%|█████████ | 57/63 [13:03<00:00, 20.89it/s]
ITERATION - loss: 1.40:  95%|█████████▌| 60/63 [13:03<00:00, 22.54it/s]
ITERATION - loss: 1.07: 100%|██████████| 63/63 [13:03<00:00, 22.54it/s]
                                                                       

Training Results - Epoch: 113 Metrics: mse: 1.052, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.725, loss: 1.052

ITERATION - loss: 1.07:   0%|          | 0/63 [13:07<00:02, 22.54it/s]
                                                                      

Validation Results - Epoch: 113 Metrics: mse: 1.236, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.751, loss: 1.236

ITERATION - loss: 1.07:   0%|          | 0/63 [13:08<00:02, 22.54it/s]
ITERATION - loss: 0.81:   5%|▍         | 3/63 [13:08<00:28,  2.10it/s]
ITERATION - loss: 1.33:   8%|▊         | 5/63 [13:08<00:20,  2.83it/s]
ITERATION - loss: 1.03:  13%|█▎        | 8/63 [13:08<00:14,  3.87it/s]
ITERATION - loss: 0.56:  17%|█▋        | 11/63 [13:08<00:10,  5.15it/s]
ITERATION - loss: 0.84:  22%|██▏       | 14/63 [13:08<00:07,  6.63it/s]
ITERATION - loss: 0.69:  27%|██▋       | 17/63 [13:08<00:05,  8.48it/s]
ITERATION - loss: 1.14:  32%|███▏      | 20/63 [13:09<00:04, 10.30it/s]
ITERATION - loss: 0.63:  37%|███▋      | 23/63 [13:09<00:03, 12.32it/s]
ITERATION - loss: 1.35:  41%|████▏     | 26/63 [13:09<00:02, 14.64it/s]
ITERATION - loss: 1.07:  46%|████▌     | 29/63 [13:09<00:02, 16.18it/s]
ITERATION - loss: 0.62:  51%|█████     | 32/63 [13:09<00:01, 18.18it/s]
ITERATION - loss: 0.83:  56%|█████▌    | 35/63 [13:09<00:01, 19.12it/s]
ITERATION - loss: 0.80:  60%|██████    | 38/63 [13:09<00:01, 19.96it/s]
ITERATION - loss: 2.37:  65%|██████▌   | 41/63 [13:09<00:01, 20.85it/s]
ITERATION - loss: 2.06:  70%|██████▉   | 44/63 [13:10<00:00, 20.13it/s]
ITERATION - loss: 0.76:  75%|███████▍  | 47/63 [13:10<00:00, 21.22it/s]
ITERATION - loss: 1.04:  79%|███████▉  | 50/63 [13:10<00:00, 21.03it/s]
ITERATION - loss: 3.46:  84%|████████▍ | 53/63 [13:10<00:00, 21.37it/s]
ITERATION - loss: 1.01:  89%|████████▉ | 56/63 [13:10<00:00, 21.25it/s]
ITERATION - loss: 0.55:  94%|█████████▎| 59/63 [13:10<00:00, 21.57it/s]
ITERATION - loss: 1.12:  98%|█████████▊| 62/63 [13:10<00:00, 22.20it/s]
ITERATION - loss: 1.37: 100%|██████████| 63/63 [13:10<00:00, 22.20it/s]
                                                                       

Training Results - Epoch: 114 Metrics: mse: 1.050, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.728, loss: 1.050

ITERATION - loss: 1.37:   0%|          | 0/63 [13:14<00:02, 22.20it/s]
                                                                      

Validation Results - Epoch: 114 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.757, loss: 1.237

ITERATION - loss: 1.37:   0%|          | 0/63 [13:14<00:02, 22.20it/s]
ITERATION - loss: 1.35:   5%|▍         | 3/63 [13:15<00:26,  2.25it/s]
ITERATION - loss: 2.17:  10%|▉         | 6/63 [13:15<00:18,  3.07it/s]
ITERATION - loss: 0.65:  13%|█▎        | 8/63 [13:15<00:13,  4.07it/s]
ITERATION - loss: 0.58:  16%|█▌        | 10/63 [13:15<00:10,  4.99it/s]
ITERATION - loss: 1.46:  21%|██        | 13/63 [13:15<00:07,  6.47it/s]
ITERATION - loss: 0.64:  25%|██▌       | 16/63 [13:15<00:05,  8.22it/s]
ITERATION - loss: 1.19:  29%|██▊       | 18/63 [13:15<00:04,  9.69it/s]
ITERATION - loss: 0.77:  32%|███▏      | 20/63 [13:16<00:03, 11.17it/s]
ITERATION - loss: 0.73:  37%|███▋      | 23/63 [13:16<00:03, 12.76it/s]
ITERATION - loss: 0.74:  41%|████▏     | 26/63 [13:16<00:02, 15.00it/s]
ITERATION - loss: 0.88:  46%|████▌     | 29/63 [13:16<00:02, 16.35it/s]
ITERATION - loss: 0.76:  51%|█████     | 32/63 [13:16<00:01, 17.92it/s]
ITERATION - loss: 0.78:  56%|█████▌    | 35/63 [13:16<00:01, 17.70it/s]
ITERATION - loss: 0.53:  60%|██████    | 38/63 [13:16<00:01, 18.97it/s]
ITERATION - loss: 0.97:  65%|██████▌   | 41/63 [13:17<00:01, 19.05it/s]
ITERATION - loss: 2.08:  70%|██████▉   | 44/63 [13:17<00:00, 19.76it/s]
ITERATION - loss: 1.58:  75%|███████▍  | 47/63 [13:17<00:00, 19.93it/s]
ITERATION - loss: 0.97:  79%|███████▉  | 50/63 [13:17<00:00, 20.51it/s]
ITERATION - loss: 2.13:  84%|████████▍ | 53/63 [13:17<00:00, 21.36it/s]
ITERATION - loss: 1.63:  89%|████████▉ | 56/63 [13:17<00:00, 20.69it/s]
ITERATION - loss: 0.91:  94%|█████████▎| 59/63 [13:17<00:00, 21.24it/s]
ITERATION - loss: 1.09:  98%|█████████▊| 62/63 [13:17<00:00, 21.36it/s]
ITERATION - loss: 0.62: 100%|██████████| 63/63 [13:18<00:00, 21.36it/s]
                                                                       

Training Results - Epoch: 115 Metrics: mse: 1.049, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.049

ITERATION - loss: 0.62:   0%|          | 0/63 [13:21<00:02, 21.36it/s]
                                                                      

Validation Results - Epoch: 115 Metrics: mse: 1.236, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.754, loss: 1.236

ITERATION - loss: 0.62:   0%|          | 0/63 [13:21<00:02, 21.36it/s]
ITERATION - loss: 0.59:   5%|▍         | 3/63 [13:22<00:26,  2.25it/s]
ITERATION - loss: 0.97:  10%|▉         | 6/63 [13:22<00:18,  3.09it/s]
ITERATION - loss: 2.21:  14%|█▍        | 9/63 [13:22<00:13,  4.14it/s]
ITERATION - loss: 0.88:  19%|█▉        | 12/63 [13:22<00:09,  5.48it/s]
ITERATION - loss: 1.09:  24%|██▍       | 15/63 [13:22<00:06,  7.15it/s]
ITERATION - loss: 0.76:  29%|██▊       | 18/63 [13:22<00:05,  8.73it/s]
ITERATION - loss: 0.73:  33%|███▎      | 21/63 [13:22<00:03, 10.84it/s]
ITERATION - loss: 0.59:  38%|███▊      | 24/63 [13:23<00:03, 12.70it/s]
ITERATION - loss: 0.70:  43%|████▎     | 27/63 [13:23<00:02, 14.79it/s]
ITERATION - loss: 1.07:  48%|████▊     | 30/63 [13:23<00:02, 15.48it/s]
ITERATION - loss: 1.84:  52%|█████▏    | 33/63 [13:23<00:01, 16.72it/s]
ITERATION - loss: 1.34:  57%|█████▋    | 36/63 [13:23<00:01, 16.73it/s]
ITERATION - loss: 0.73:  62%|██████▏   | 39/63 [13:23<00:01, 18.41it/s]
ITERATION - loss: 1.06:  67%|██████▋   | 42/63 [13:23<00:01, 19.93it/s]
ITERATION - loss: 0.91:  71%|███████▏  | 45/63 [13:24<00:00, 20.17it/s]
ITERATION - loss: 0.64:  76%|███████▌  | 48/63 [13:24<00:00, 19.89it/s]
ITERATION - loss: 1.06:  81%|████████  | 51/63 [13:24<00:00, 20.32it/s]
ITERATION - loss: 0.75:  86%|████████▌ | 54/63 [13:24<00:00, 21.40it/s]
ITERATION - loss: 0.85:  90%|█████████ | 57/63 [13:24<00:00, 22.06it/s]
ITERATION - loss: 1.15:  95%|█████████▌| 60/63 [13:24<00:00, 21.99it/s]
ITERATION - loss: 1.39: 100%|██████████| 63/63 [13:24<00:00, 23.17it/s]
ITERATION - loss: 1.39: 100%|██████████| 63/63 [13:24<00:00, 23.17it/s]
                                                                       

Training Results - Epoch: 116 Metrics: mse: 1.050, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.725, loss: 1.050

ITERATION - loss: 1.39:   0%|          | 0/63 [13:28<00:02, 23.17it/s]
                                                                      

Validation Results - Epoch: 116 Metrics: mse: 1.235, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.752, loss: 1.235

ITERATION - loss: 1.39:   0%|          | 0/63 [13:29<00:02, 23.17it/s]
ITERATION - loss: 0.97:   5%|▍         | 3/63 [13:29<00:27,  2.19it/s]
ITERATION - loss: 1.16:  10%|▉         | 6/63 [13:29<00:18,  3.01it/s]
ITERATION - loss: 1.18:  13%|█▎        | 8/63 [13:29<00:13,  4.02it/s]
ITERATION - loss: 1.19:  17%|█▋        | 11/63 [13:29<00:09,  5.37it/s]
ITERATION - loss: 0.54:  22%|██▏       | 14/63 [13:29<00:07,  6.88it/s]
ITERATION - loss: 1.51:  27%|██▋       | 17/63 [13:29<00:05,  8.66it/s]
ITERATION - loss: 0.94:  32%|███▏      | 20/63 [13:29<00:04, 10.67it/s]
ITERATION - loss: 0.73:  37%|███▋      | 23/63 [13:30<00:03, 12.33it/s]
ITERATION - loss: 2.95:  41%|████▏     | 26/63 [13:30<00:02, 14.09it/s]
ITERATION - loss: 0.63:  46%|████▌     | 29/63 [13:30<00:02, 15.65it/s]
ITERATION - loss: 0.80:  51%|█████     | 32/63 [13:30<00:01, 17.62it/s]
ITERATION - loss: 0.81:  56%|█████▌    | 35/63 [13:30<00:01, 18.74it/s]
ITERATION - loss: 1.27:  60%|██████    | 38/63 [13:30<00:01, 19.20it/s]
ITERATION - loss: 0.98:  65%|██████▌   | 41/63 [13:30<00:01, 20.08it/s]
ITERATION - loss: 1.20:  70%|██████▉   | 44/63 [13:31<00:00, 19.71it/s]
ITERATION - loss: 1.93:  75%|███████▍  | 47/63 [13:31<00:00, 20.61it/s]
ITERATION - loss: 1.11:  79%|███████▉  | 50/63 [13:31<00:00, 21.78it/s]
ITERATION - loss: 0.97:  84%|████████▍ | 53/63 [13:31<00:00, 20.13it/s]
ITERATION - loss: 1.29:  89%|████████▉ | 56/63 [13:31<00:00, 21.72it/s]
ITERATION - loss: 0.59:  94%|█████████▎| 59/63 [13:31<00:00, 20.99it/s]
ITERATION - loss: 1.15:  98%|█████████▊| 62/63 [13:31<00:00, 21.83it/s]
ITERATION - loss: 1.71: 100%|██████████| 63/63 [13:31<00:00, 21.83it/s]
                                                                       

Training Results - Epoch: 117 Metrics: mse: 1.049, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.049

ITERATION - loss: 1.71:   0%|          | 0/63 [13:35<00:02, 21.83it/s]
                                                                      

Validation Results - Epoch: 117 Metrics: mse: 1.236, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.756, loss: 1.236

ITERATION - loss: 1.71:   0%|          | 0/63 [13:35<00:02, 21.83it/s]
ITERATION - loss: 0.77:   5%|▍         | 3/63 [13:36<00:27,  2.18it/s]
ITERATION - loss: 1.06:  10%|▉         | 6/63 [13:36<00:19,  3.00it/s]
ITERATION - loss: 0.59:  14%|█▍        | 9/63 [13:36<00:13,  4.04it/s]
ITERATION - loss: 1.10:  19%|█▉        | 12/63 [13:36<00:09,  5.34it/s]
ITERATION - loss: 1.16:  24%|██▍       | 15/63 [13:36<00:06,  6.91it/s]
ITERATION - loss: 0.64:  29%|██▊       | 18/63 [13:36<00:05,  8.76it/s]
ITERATION - loss: 0.72:  33%|███▎      | 21/63 [13:36<00:03, 10.92it/s]
ITERATION - loss: 1.19:  38%|███▊      | 24/63 [13:37<00:03, 12.69it/s]
ITERATION - loss: 1.25:  43%|████▎     | 27/63 [13:37<00:02, 14.47it/s]
ITERATION - loss: 0.66:  48%|████▊     | 30/63 [13:37<00:02, 15.66it/s]
ITERATION - loss: 1.30:  52%|█████▏    | 33/63 [13:37<00:01, 17.49it/s]
ITERATION - loss: 1.09:  57%|█████▋    | 36/63 [13:37<00:01, 19.65it/s]
ITERATION - loss: 1.89:  62%|██████▏   | 39/63 [13:37<00:01, 20.36it/s]
ITERATION - loss: 0.99:  67%|██████▋   | 42/63 [13:37<00:00, 21.47it/s]
ITERATION - loss: 0.98:  71%|███████▏  | 45/63 [13:37<00:00, 21.69it/s]
ITERATION - loss: 0.97:  76%|███████▌  | 48/63 [13:38<00:00, 21.31it/s]
ITERATION - loss: 0.79:  81%|████████  | 51/63 [13:38<00:00, 21.82it/s]
ITERATION - loss: 1.73:  86%|████████▌ | 54/63 [13:38<00:00, 21.94it/s]
ITERATION - loss: 1.07:  90%|█████████ | 57/63 [13:38<00:00, 22.68it/s]
ITERATION - loss: 1.74:  95%|█████████▌| 60/63 [13:38<00:00, 21.18it/s]
ITERATION - loss: 0.60: 100%|██████████| 63/63 [13:38<00:00, 21.99it/s]
ITERATION - loss: 0.60: 100%|██████████| 63/63 [13:38<00:00, 21.99it/s]
                                                                       

Training Results - Epoch: 118 Metrics: mse: 1.056, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.970, mae: 0.726, loss: 1.056

ITERATION - loss: 0.60:   0%|          | 0/63 [13:42<00:02, 21.99it/s]
                                                                      

Validation Results - Epoch: 118 Metrics: mse: 1.237, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.749, loss: 1.237

ITERATION - loss: 0.60:   0%|          | 0/63 [13:42<00:02, 21.99it/s]
ITERATION - loss: 1.53:   5%|▍         | 3/63 [13:43<00:27,  2.21it/s]
ITERATION - loss: 1.42:  10%|▉         | 6/63 [13:43<00:18,  3.05it/s]
ITERATION - loss: 0.99:  14%|█▍        | 9/63 [13:43<00:13,  4.14it/s]
ITERATION - loss: 0.74:  19%|█▉        | 12/63 [13:43<00:09,  5.44it/s]
ITERATION - loss: 0.96:  24%|██▍       | 15/63 [13:43<00:06,  7.01it/s]
ITERATION - loss: 1.08:  29%|██▊       | 18/63 [13:43<00:05,  8.68it/s]
ITERATION - loss: 1.28:  33%|███▎      | 21/63 [13:43<00:04, 10.40it/s]
ITERATION - loss: 1.80:  38%|███▊      | 24/63 [13:43<00:03, 12.08it/s]
ITERATION - loss: 1.44:  43%|████▎     | 27/63 [13:44<00:02, 13.92it/s]
ITERATION - loss: 0.58:  48%|████▊     | 30/63 [13:44<00:02, 15.96it/s]
ITERATION - loss: 0.92:  52%|█████▏    | 33/63 [13:44<00:01, 17.23it/s]
ITERATION - loss: 2.21:  57%|█████▋    | 36/63 [13:44<00:01, 18.94it/s]
ITERATION - loss: 1.28:  62%|██████▏   | 39/63 [13:44<00:01, 19.73it/s]
ITERATION - loss: 1.76:  67%|██████▋   | 42/63 [13:44<00:01, 19.93it/s]
ITERATION - loss: 0.87:  71%|███████▏  | 45/63 [13:44<00:00, 20.79it/s]
ITERATION - loss: 1.02:  76%|███████▌  | 48/63 [13:45<00:00, 19.94it/s]
ITERATION - loss: 1.59:  81%|████████  | 51/63 [13:45<00:00, 20.72it/s]
ITERATION - loss: 0.90:  86%|████████▌ | 54/63 [13:45<00:00, 20.01it/s]
ITERATION - loss: 0.75:  90%|█████████ | 57/63 [13:45<00:00, 21.21it/s]
ITERATION - loss: 0.69:  95%|█████████▌| 60/63 [13:45<00:00, 20.96it/s]
ITERATION - loss: 0.61: 100%|██████████| 63/63 [13:45<00:00, 17.37it/s]
ITERATION - loss: 0.61: 100%|██████████| 63/63 [13:45<00:00, 17.37it/s]
                                                                       

Training Results - Epoch: 119 Metrics: mse: 1.056, avep: 0.931, top5: 0.937, frac_mc: 0.875, top1: 0.970, mae: 0.726, loss: 1.056

ITERATION - loss: 0.61:   0%|          | 0/63 [13:49<00:03, 17.37it/s]
                                                                      

Validation Results - Epoch: 119 Metrics: mse: 1.238, avep: 0.925, top5: 0.930, frac_mc: 0.868, top1: 0.964, mae: 0.749, loss: 1.238

ITERATION - loss: 0.61:   0%|          | 0/63 [13:49<00:03, 17.37it/s]
ITERATION - loss: 0.50:   3%|▎         | 2/63 [13:50<00:39,  1.53it/s]
ITERATION - loss: 0.64:   6%|▋         | 4/63 [13:50<00:28,  2.11it/s]
ITERATION - loss: 3.29:  11%|█         | 7/63 [13:50<00:19,  2.90it/s]
ITERATION - loss: 0.89:  16%|█▌        | 10/63 [13:50<00:13,  3.87it/s]
ITERATION - loss: 1.01:  21%|██        | 13/63 [13:50<00:09,  5.20it/s]
ITERATION - loss: 0.66:  25%|██▌       | 16/63 [13:50<00:06,  6.74it/s]
ITERATION - loss: 1.03:  30%|███       | 19/63 [13:50<00:05,  8.38it/s]
ITERATION - loss: 1.16:  35%|███▍      | 22/63 [13:50<00:03, 10.34it/s]
ITERATION - loss: 0.79:  40%|███▉      | 25/63 [13:51<00:03, 12.11it/s]
ITERATION - loss: 1.00:  44%|████▍     | 28/63 [13:51<00:02, 14.27it/s]
ITERATION - loss: 1.61:  49%|████▉     | 31/63 [13:51<00:01, 16.10it/s]
ITERATION - loss: 1.37:  54%|█████▍    | 34/63 [13:51<00:01, 17.38it/s]
ITERATION - loss: 1.55:  59%|█████▊    | 37/63 [13:51<00:01, 18.75it/s]
ITERATION - loss: 1.10:  63%|██████▎   | 40/63 [13:51<00:01, 19.22it/s]
ITERATION - loss: 1.37:  68%|██████▊   | 43/63 [13:51<00:01, 19.37it/s]
ITERATION - loss: 0.92:  73%|███████▎  | 46/63 [13:52<00:00, 19.51it/s]
ITERATION - loss: 0.81:  78%|███████▊  | 49/63 [13:52<00:00, 20.24it/s]
ITERATION - loss: 0.59:  83%|████████▎ | 52/63 [13:52<00:00, 20.80it/s]
ITERATION - loss: 0.99:  87%|████████▋ | 55/63 [13:52<00:00, 20.64it/s]
ITERATION - loss: 1.51:  92%|█████████▏| 58/63 [13:52<00:00, 21.49it/s]
ITERATION - loss: 0.75:  97%|█████████▋| 61/63 [13:52<00:00, 21.24it/s]
ITERATION - loss: 0.99: 100%|██████████| 63/63 [13:52<00:00, 21.24it/s]
                                                                       
Training Results - Epoch: 120 Metrics: mse: 1.047, avep: 0.932, top5: 0.937, frac_mc: 0.875, top1: 0.971, mae: 0.727, loss: 1.047


ITERATION - loss: 0.99:   0%|          | 0/63 [13:56<00:02, 21.24it/s]
Validation Results - Epoch: 120 Metrics: mse: 1.235, avep: 0.926, top5: 0.930, frac_mc: 0.868, top1: 0.966, mae: 0.755, loss: 1.235

                                                                      

ITERATION - loss: 0.99:   0%|          | 0/63 [13:56<00:02, 21.24it/s]
                                                                      
mse: 1.235
avep: 0.926
top5: 0.930
frac_mc: 0.868
top1: 0.966
mae: 0.755
loss: 1.235
