Delete unet_epochs30_batch32_lr0.002.log
Browse files
unet_epochs30_batch32_lr0.002.log
DELETED
|
@@ -1,158 +0,0 @@
|
|
| 1 |
-
nohup: ignoring input
|
| 2 |
-
PyTorch version: 2.7.0+cu128
|
| 3 |
-
CUDA available: True
|
| 4 |
-
CUDA version: 12.8
|
| 5 |
-
GPU: NVIDIA GeForce RTX 4090
|
| 6 |
-
sigmoid disabled
|
| 7 |
-
checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.002
|
| 8 |
-
|
| 9 |
-
Epoch [1/30]
|
| 10 |
-
Time taken for epoch 1: 0:01:07.321107
|
| 11 |
-
Train Loss: 0.7515 | Val Loss: 0.7349
|
| 12 |
-
✅ Validation improved — model saved.
|
| 13 |
-
|
| 14 |
-
Epoch [2/30]
|
| 15 |
-
Time taken for epoch 2: 0:00:41.725214
|
| 16 |
-
Train Loss: 0.6366 | Val Loss: 0.6584
|
| 17 |
-
✅ Validation improved — model saved.
|
| 18 |
-
|
| 19 |
-
Epoch [3/30]
|
| 20 |
-
Time taken for epoch 3: 0:00:41.741561
|
| 21 |
-
Train Loss: 0.5936 | Val Loss: 0.7509
|
| 22 |
-
⚠️ No improvement for 1 epochs.
|
| 23 |
-
|
| 24 |
-
Epoch [4/30]
|
| 25 |
-
Time taken for epoch 4: 0:00:41.705633
|
| 26 |
-
Train Loss: 0.5622 | Val Loss: 0.5722
|
| 27 |
-
✅ Validation improved — model saved.
|
| 28 |
-
|
| 29 |
-
Epoch [5/30]
|
| 30 |
-
Time taken for epoch 5: 0:00:41.747515
|
| 31 |
-
Train Loss: 0.5302 | Val Loss: 0.4825
|
| 32 |
-
✅ Validation improved — model saved.
|
| 33 |
-
|
| 34 |
-
Epoch [6/30]
|
| 35 |
-
Time taken for epoch 6: 0:00:41.629183
|
| 36 |
-
Train Loss: 0.5009 | Val Loss: 0.4922
|
| 37 |
-
⚠️ No improvement for 1 epochs.
|
| 38 |
-
|
| 39 |
-
Epoch [7/30]
|
| 40 |
-
Time taken for epoch 7: 0:00:41.642311
|
| 41 |
-
Train Loss: 0.4852 | Val Loss: 0.4780
|
| 42 |
-
✅ Validation improved — model saved.
|
| 43 |
-
|
| 44 |
-
Epoch [8/30]
|
| 45 |
-
Time taken for epoch 8: 0:00:41.813184
|
| 46 |
-
Train Loss: 0.4643 | Val Loss: 0.6178
|
| 47 |
-
⚠️ No improvement for 1 epochs.
|
| 48 |
-
|
| 49 |
-
Epoch [9/30]
|
| 50 |
-
Time taken for epoch 9: 0:00:42.445445
|
| 51 |
-
Train Loss: 0.4381 | Val Loss: 0.4141
|
| 52 |
-
✅ Validation improved — model saved.
|
| 53 |
-
|
| 54 |
-
Epoch [10/30]
|
| 55 |
-
Time taken for epoch 10: 0:00:42.756022
|
| 56 |
-
Train Loss: 0.4193 | Val Loss: 0.5146
|
| 57 |
-
⚠️ No improvement for 1 epochs.
|
| 58 |
-
|
| 59 |
-
Epoch [11/30]
|
| 60 |
-
Time taken for epoch 11: 0:00:41.794892
|
| 61 |
-
Train Loss: 0.4019 | Val Loss: 0.4091
|
| 62 |
-
✅ Validation improved — model saved.
|
| 63 |
-
|
| 64 |
-
Epoch [12/30]
|
| 65 |
-
Time taken for epoch 12: 0:00:41.772372
|
| 66 |
-
Train Loss: 0.3860 | Val Loss: 0.4492
|
| 67 |
-
⚠️ No improvement for 1 epochs.
|
| 68 |
-
|
| 69 |
-
Epoch [13/30]
|
| 70 |
-
Time taken for epoch 13: 0:00:41.716402
|
| 71 |
-
Train Loss: 0.3818 | Val Loss: 0.3965
|
| 72 |
-
✅ Validation improved — model saved.
|
| 73 |
-
|
| 74 |
-
Epoch [14/30]
|
| 75 |
-
Time taken for epoch 14: 0:00:41.859875
|
| 76 |
-
Train Loss: 0.3561 | Val Loss: 0.4099
|
| 77 |
-
⚠️ No improvement for 1 epochs.
|
| 78 |
-
|
| 79 |
-
Epoch [15/30]
|
| 80 |
-
Time taken for epoch 15: 0:00:41.732123
|
| 81 |
-
Train Loss: 0.3416 | Val Loss: 0.3668
|
| 82 |
-
✅ Validation improved — model saved.
|
| 83 |
-
|
| 84 |
-
Epoch [16/30]
|
| 85 |
-
Time taken for epoch 16: 0:00:41.728876
|
| 86 |
-
Train Loss: 0.3136 | Val Loss: 0.3711
|
| 87 |
-
⚠️ No improvement for 1 epochs.
|
| 88 |
-
|
| 89 |
-
Epoch [17/30]
|
| 90 |
-
Time taken for epoch 17: 0:00:41.770381
|
| 91 |
-
Train Loss: 0.3043 | Val Loss: 0.3549
|
| 92 |
-
✅ Validation improved — model saved.
|
| 93 |
-
|
| 94 |
-
Epoch [18/30]
|
| 95 |
-
Time taken for epoch 18: 0:00:41.763336
|
| 96 |
-
Train Loss: 0.2885 | Val Loss: 0.3747
|
| 97 |
-
⚠️ No improvement for 1 epochs.
|
| 98 |
-
|
| 99 |
-
Epoch [19/30]
|
| 100 |
-
Time taken for epoch 19: 0:00:41.818925
|
| 101 |
-
Train Loss: 0.2639 | Val Loss: 0.3664
|
| 102 |
-
⚠️ No improvement for 2 epochs.
|
| 103 |
-
|
| 104 |
-
Epoch [20/30]
|
| 105 |
-
Time taken for epoch 20: 0:00:41.741736
|
| 106 |
-
Train Loss: 0.2562 | Val Loss: 0.3781
|
| 107 |
-
⚠️ No improvement for 3 epochs.
|
| 108 |
-
|
| 109 |
-
Epoch [21/30]
|
| 110 |
-
Time taken for epoch 21: 0:00:41.741983
|
| 111 |
-
Train Loss: 0.2397 | Val Loss: 0.3645
|
| 112 |
-
⚠️ No improvement for 4 epochs.
|
| 113 |
-
|
| 114 |
-
Epoch [22/30]
|
| 115 |
-
Time taken for epoch 22: 0:00:41.686538
|
| 116 |
-
Train Loss: 0.2058 | Val Loss: 0.3312
|
| 117 |
-
✅ Validation improved — model saved.
|
| 118 |
-
|
| 119 |
-
Epoch [23/30]
|
| 120 |
-
Time taken for epoch 23: 0:00:41.729279
|
| 121 |
-
Train Loss: 0.1922 | Val Loss: 0.3274
|
| 122 |
-
✅ Validation improved — model saved.
|
| 123 |
-
|
| 124 |
-
Epoch [24/30]
|
| 125 |
-
Time taken for epoch 24: 0:00:41.670759
|
| 126 |
-
Train Loss: 0.1813 | Val Loss: 0.3299
|
| 127 |
-
⚠️ No improvement for 1 epochs.
|
| 128 |
-
|
| 129 |
-
Epoch [25/30]
|
| 130 |
-
Time taken for epoch 25: 0:00:41.695230
|
| 131 |
-
Train Loss: 0.1753 | Val Loss: 0.3348
|
| 132 |
-
⚠️ No improvement for 2 epochs.
|
| 133 |
-
|
| 134 |
-
Epoch [26/30]
|
| 135 |
-
Time taken for epoch 26: 0:00:41.707373
|
| 136 |
-
Train Loss: 0.1688 | Val Loss: 0.3329
|
| 137 |
-
⚠️ No improvement for 3 epochs.
|
| 138 |
-
|
| 139 |
-
Epoch [27/30]
|
| 140 |
-
Time taken for epoch 27: 0:00:41.708740
|
| 141 |
-
Train Loss: 0.1627 | Val Loss: 0.3336
|
| 142 |
-
⚠️ No improvement for 4 epochs.
|
| 143 |
-
|
| 144 |
-
Epoch [28/30]
|
| 145 |
-
Time taken for epoch 28: 0:00:41.708981
|
| 146 |
-
Train Loss: 0.1579 | Val Loss: 0.3376
|
| 147 |
-
⚠️ No improvement for 5 epochs.
|
| 148 |
-
|
| 149 |
-
Epoch [29/30]
|
| 150 |
-
Time taken for epoch 29: 0:00:41.728628
|
| 151 |
-
Train Loss: 0.1571 | Val Loss: 0.3374
|
| 152 |
-
⚠️ No improvement for 6 epochs.
|
| 153 |
-
|
| 154 |
-
Epoch [30/30]
|
| 155 |
-
Time taken for epoch 30: 0:00:41.785874
|
| 156 |
-
Train Loss: 0.1562 | Val Loss: 0.3348
|
| 157 |
-
⚠️ No improvement for 7 epochs.
|
| 158 |
-
⛔ Early stopping triggered.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|