[2021-03-16 21:52:01] Seeded: 5
[2021-03-16 21:52:01] Created experiment 0:
[2021-03-16 21:52:01]  - Model: mlp
[2021-03-16 21:52:01]  - Acquisition function: lc-beam-coreset
[2021-03-16 21:52:01] Created experiment 1:
[2021-03-16 21:52:01]  - Model: mlp
[2021-03-16 21:52:01]  - Acquisition function: greedy-coreset
[2021-03-16 21:52:01] Created experiment 2:
[2021-03-16 21:52:01]  - Model: mlp
[2021-03-16 21:52:01]  - Acquisition function: random
[2021-03-16 21:52:01] Loading blobs test set...
[2021-03-16 21:52:01] Generated 5000 blobs:
[2021-03-16 21:52:01] Class 0: 200
[2021-03-16 21:52:01] Class 1: 300
[2021-03-16 21:52:01] Class 2: 1000
[2021-03-16 21:52:01] Class 3: 100
[2021-03-16 21:52:01] Class 4: 50
[2021-03-16 21:52:01] Class 5: 200
[2021-03-16 21:52:01] Class 6: 400
[2021-03-16 21:52:01] Class 7: 1800
[2021-03-16 21:52:01] Class 8: 50
[2021-03-16 21:52:01] Class 9: 900
[2021-03-16 21:52:01] Saved figure to: ../data/blobs_data.png
[2021-03-16 21:52:01] Generated 5000 test points.
[2021-03-16 21:52:01] Saved figure to: ../data/blobs_test.png
[2021-03-16 21:52:01] Experiment repeat 1/5
[2021-03-16 21:52:01] Randomly labelled 50/5000
[2021-03-16 21:52:01] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:01] Running: experiment 0
[2021-03-16 21:52:01] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:01] mlp: initialized 1482 parameters.
[2021-03-16 21:52:01] Creating trainer with model on device: cuda
[2021-03-16 21:52:06] Training mlp across 50 data points in blobs...
[2021-03-16 21:52:06] Training loss: 1.5875
[2021-03-16 21:52:06] Testing on 5000 data points...
[2021-03-16 21:52:06] Test accuracy: 0.4266
[2021-03-16 21:52:06] Score for 50 labels: 0.4266
[2021-03-16 21:52:06] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:52:06] Found 4950 unlabelled features.
[2021-03-16 21:52:07] Showing labelled: True (75/5000 visible)
[2021-03-16 21:52:07] Training mlp across 75 data points in blobs...
[2021-03-16 21:52:07] Training loss: 0.9674
[2021-03-16 21:52:07] Testing on 5000 data points...
[2021-03-16 21:52:07] Test accuracy: 0.5852
[2021-03-16 21:52:07] Score for 75 labels: 0.5852
[2021-03-16 21:52:07] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:52:07] Found 4925 unlabelled features.
[2021-03-16 21:52:08] Showing labelled: True (100/5000 visible)
[2021-03-16 21:52:08] Training mlp across 100 data points in blobs...
[2021-03-16 21:52:08] Training loss: 0.7299
[2021-03-16 21:52:08] Testing on 5000 data points...
[2021-03-16 21:52:08] Test accuracy: 0.7230
[2021-03-16 21:52:08] Score for 100 labels: 0.7230
[2021-03-16 21:52:08] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:52:08] Found 4900 unlabelled features.
[2021-03-16 21:52:09] Showing labelled: True (125/5000 visible)
[2021-03-16 21:52:09] Training mlp across 125 data points in blobs...
[2021-03-16 21:52:09] Training loss: 0.5762
[2021-03-16 21:52:09] Testing on 5000 data points...
[2021-03-16 21:52:09] Test accuracy: 0.7018
[2021-03-16 21:52:09] Score for 125 labels: 0.7018
[2021-03-16 21:52:09] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:52:09] Found 4875 unlabelled features.
[2021-03-16 21:52:10] Showing labelled: True (150/5000 visible)
[2021-03-16 21:52:10] Training mlp across 150 data points in blobs...
[2021-03-16 21:52:10] Training loss: 0.4169
[2021-03-16 21:52:10] Testing on 5000 data points...
[2021-03-16 21:52:10] Test accuracy: 0.7532
[2021-03-16 21:52:10] Score for 150 labels: 0.7532
[2021-03-16 21:52:10] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:52:10] Found 4850 unlabelled features.
[2021-03-16 21:52:11] Showing labelled: True (175/5000 visible)
[2021-03-16 21:52:11] Training mlp across 175 data points in blobs...
[2021-03-16 21:52:12] Training loss: 0.3432
[2021-03-16 21:52:12] Testing on 5000 data points...
[2021-03-16 21:52:12] Test accuracy: 0.7810
[2021-03-16 21:52:12] Score for 175 labels: 0.7810
[2021-03-16 21:52:12] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:52:12] Found 4825 unlabelled features.
[2021-03-16 21:52:12] Showing labelled: True (200/5000 visible)
[2021-03-16 21:52:12] Training mlp across 200 data points in blobs...
[2021-03-16 21:52:13] Training loss: 0.2927
[2021-03-16 21:52:13] Testing on 5000 data points...
[2021-03-16 21:52:13] Test accuracy: 0.7798
[2021-03-16 21:52:13] Score for 200 labels: 0.7798
[2021-03-16 21:52:13] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:52:13] Found 4800 unlabelled features.
[2021-03-16 21:52:14] Showing labelled: True (225/5000 visible)
[2021-03-16 21:52:14] Training mlp across 225 data points in blobs...
[2021-03-16 21:52:15] Training loss: 0.2733
[2021-03-16 21:52:15] Testing on 5000 data points...
[2021-03-16 21:52:15] Test accuracy: 0.7706
[2021-03-16 21:52:15] Score for 225 labels: 0.7706
[2021-03-16 21:52:15] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:52:15] Found 4775 unlabelled features.
[2021-03-16 21:52:15] Showing labelled: True (250/5000 visible)
[2021-03-16 21:52:15] Training mlp across 250 data points in blobs...
[2021-03-16 21:52:16] Training loss: 0.2534
[2021-03-16 21:52:16] Testing on 5000 data points...
[2021-03-16 21:52:17] Test accuracy: 0.7874
[2021-03-16 21:52:17] Score for 250 labels: 0.7874
[2021-03-16 21:52:17] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:52:17] Found 4750 unlabelled features.
[2021-03-16 21:52:17] Showing labelled: True (275/5000 visible)
[2021-03-16 21:52:17] Training mlp across 275 data points in blobs...
[2021-03-16 21:52:19] Training loss: 0.2541
[2021-03-16 21:52:19] Testing on 5000 data points...
[2021-03-16 21:52:19] Test accuracy: 0.7794
[2021-03-16 21:52:19] Score for 275 labels: 0.7794
[2021-03-16 21:52:19] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:52:19] Found 4725 unlabelled features.
[2021-03-16 21:52:19] Showing labelled: True (300/5000 visible)
[2021-03-16 21:52:19] Training mlp across 300 data points in blobs...
[2021-03-16 21:52:21] Training loss: 0.2431
[2021-03-16 21:52:21] Testing on 5000 data points...
[2021-03-16 21:52:21] Test accuracy: 0.7802
[2021-03-16 21:52:21] Score for 300 labels: 0.7802
[2021-03-16 21:52:21] Running: experiment 1
[2021-03-16 21:52:21] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:21] mlp: initialized 1482 parameters.
[2021-03-16 21:52:21] Creating trainer with model on device: cuda
[2021-03-16 21:52:21] Training mlp across 50 data points in blobs...
[2021-03-16 21:52:21] Training loss: 1.5845
[2021-03-16 21:52:21] Testing on 5000 data points...
[2021-03-16 21:52:21] Test accuracy: 0.4462
[2021-03-16 21:52:21] Score for 50 labels: 0.4462
[2021-03-16 21:52:21] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:52:21] Found 4950 unlabelled features.
[2021-03-16 21:52:21] Showing labelled: True (75/5000 visible)
[2021-03-16 21:52:21] Training mlp across 75 data points in blobs...
[2021-03-16 21:52:22] Training loss: 0.8501
[2021-03-16 21:52:22] Testing on 5000 data points...
[2021-03-16 21:52:22] Test accuracy: 0.6722
[2021-03-16 21:52:22] Score for 75 labels: 0.6722
[2021-03-16 21:52:22] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:52:22] Found 4925 unlabelled features.
[2021-03-16 21:52:22] Showing labelled: True (100/5000 visible)
[2021-03-16 21:52:22] Training mlp across 100 data points in blobs...
[2021-03-16 21:52:22] Training loss: 0.5653
[2021-03-16 21:52:22] Testing on 5000 data points...
[2021-03-16 21:52:22] Test accuracy: 0.7340
[2021-03-16 21:52:22] Score for 100 labels: 0.7340
[2021-03-16 21:52:22] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:52:22] Found 4900 unlabelled features.
[2021-03-16 21:52:22] Showing labelled: True (125/5000 visible)
[2021-03-16 21:52:22] Training mlp across 125 data points in blobs...
[2021-03-16 21:52:23] Training loss: 0.4605
[2021-03-16 21:52:23] Testing on 5000 data points...
[2021-03-16 21:52:23] Test accuracy: 0.7704
[2021-03-16 21:52:23] Score for 125 labels: 0.7704
[2021-03-16 21:52:23] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:52:23] Found 4875 unlabelled features.
[2021-03-16 21:52:23] Showing labelled: True (150/5000 visible)
[2021-03-16 21:52:23] Training mlp across 150 data points in blobs...
[2021-03-16 21:52:24] Training loss: 0.3656
[2021-03-16 21:52:24] Testing on 5000 data points...
[2021-03-16 21:52:24] Test accuracy: 0.7764
[2021-03-16 21:52:24] Score for 150 labels: 0.7764
[2021-03-16 21:52:24] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:52:24] Found 4850 unlabelled features.
[2021-03-16 21:52:24] Showing labelled: True (175/5000 visible)
[2021-03-16 21:52:24] Training mlp across 175 data points in blobs...
[2021-03-16 21:52:25] Training loss: 0.3426
[2021-03-16 21:52:25] Testing on 5000 data points...
[2021-03-16 21:52:25] Test accuracy: 0.7892
[2021-03-16 21:52:25] Score for 175 labels: 0.7892
[2021-03-16 21:52:25] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:52:25] Found 4825 unlabelled features.
[2021-03-16 21:52:25] Showing labelled: True (200/5000 visible)
[2021-03-16 21:52:25] Training mlp across 200 data points in blobs...
[2021-03-16 21:52:26] Training loss: 0.3108
[2021-03-16 21:52:26] Testing on 5000 data points...
[2021-03-16 21:52:26] Test accuracy: 0.7810
[2021-03-16 21:52:26] Score for 200 labels: 0.7810
[2021-03-16 21:52:26] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:52:26] Found 4800 unlabelled features.
[2021-03-16 21:52:26] Showing labelled: True (225/5000 visible)
[2021-03-16 21:52:26] Training mlp across 225 data points in blobs...
[2021-03-16 21:52:28] Training loss: 0.3044
[2021-03-16 21:52:28] Testing on 5000 data points...
[2021-03-16 21:52:28] Test accuracy: 0.7844
[2021-03-16 21:52:28] Score for 225 labels: 0.7844
[2021-03-16 21:52:28] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:52:28] Found 4775 unlabelled features.
[2021-03-16 21:52:28] Showing labelled: True (250/5000 visible)
[2021-03-16 21:52:28] Training mlp across 250 data points in blobs...
[2021-03-16 21:52:29] Training loss: 0.2798
[2021-03-16 21:52:29] Testing on 5000 data points...
[2021-03-16 21:52:29] Test accuracy: 0.7646
[2021-03-16 21:52:29] Score for 250 labels: 0.7646
[2021-03-16 21:52:29] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:52:29] Found 4750 unlabelled features.
[2021-03-16 21:52:29] Showing labelled: True (275/5000 visible)
[2021-03-16 21:52:29] Training mlp across 275 data points in blobs...
[2021-03-16 21:52:31] Training loss: 0.2761
[2021-03-16 21:52:31] Testing on 5000 data points...
[2021-03-16 21:52:31] Test accuracy: 0.7826
[2021-03-16 21:52:31] Score for 275 labels: 0.7826
[2021-03-16 21:52:31] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:52:31] Found 4725 unlabelled features.
[2021-03-16 21:52:31] Showing labelled: True (300/5000 visible)
[2021-03-16 21:52:31] Training mlp across 300 data points in blobs...
[2021-03-16 21:52:32] Training loss: 0.2786
[2021-03-16 21:52:32] Testing on 5000 data points...
[2021-03-16 21:52:32] Test accuracy: 0.7906
[2021-03-16 21:52:32] Score for 300 labels: 0.7906
[2021-03-16 21:52:32] Running: experiment 2
[2021-03-16 21:52:32] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:32] mlp: initialized 1482 parameters.
[2021-03-16 21:52:32] Creating trainer with model on device: cuda
[2021-03-16 21:52:32] Training mlp across 50 data points in blobs...
[2021-03-16 21:52:32] Training loss: 1.5421
[2021-03-16 21:52:32] Testing on 5000 data points...
[2021-03-16 21:52:32] Test accuracy: 0.4254
[2021-03-16 21:52:32] Score for 50 labels: 0.4254
[2021-03-16 21:52:32] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:52:32] Found 4950 unlabelled features.
[2021-03-16 21:52:33] Showing labelled: True (75/5000 visible)
[2021-03-16 21:52:33] Training mlp across 75 data points in blobs...
[2021-03-16 21:52:33] Training loss: 0.8691
[2021-03-16 21:52:33] Testing on 5000 data points...
[2021-03-16 21:52:33] Test accuracy: 0.5330
[2021-03-16 21:52:33] Score for 75 labels: 0.5330
[2021-03-16 21:52:33] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:52:33] Found 4925 unlabelled features.
[2021-03-16 21:52:33] Showing labelled: True (100/5000 visible)
[2021-03-16 21:52:33] Training mlp across 100 data points in blobs...
[2021-03-16 21:52:34] Training loss: 0.6538
[2021-03-16 21:52:34] Testing on 5000 data points...
[2021-03-16 21:52:34] Test accuracy: 0.5786
[2021-03-16 21:52:34] Score for 100 labels: 0.5786
[2021-03-16 21:52:34] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:52:34] Found 4900 unlabelled features.
[2021-03-16 21:52:34] Showing labelled: True (125/5000 visible)
[2021-03-16 21:52:34] Training mlp across 125 data points in blobs...
[2021-03-16 21:52:34] Training loss: 0.5269
[2021-03-16 21:52:34] Testing on 5000 data points...
[2021-03-16 21:52:34] Test accuracy: 0.6598
[2021-03-16 21:52:34] Score for 125 labels: 0.6598
[2021-03-16 21:52:34] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:52:34] Found 4875 unlabelled features.
[2021-03-16 21:52:34] Showing labelled: True (150/5000 visible)
[2021-03-16 21:52:34] Training mlp across 150 data points in blobs...
[2021-03-16 21:52:35] Training loss: 0.4430
[2021-03-16 21:52:35] Testing on 5000 data points...
[2021-03-16 21:52:35] Test accuracy: 0.6986
[2021-03-16 21:52:35] Score for 150 labels: 0.6986
[2021-03-16 21:52:35] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:52:35] Found 4850 unlabelled features.
[2021-03-16 21:52:35] Showing labelled: True (175/5000 visible)
[2021-03-16 21:52:35] Training mlp across 175 data points in blobs...
[2021-03-16 21:52:36] Training loss: 0.3826
[2021-03-16 21:52:36] Testing on 5000 data points...
[2021-03-16 21:52:36] Test accuracy: 0.7144
[2021-03-16 21:52:36] Score for 175 labels: 0.7144
[2021-03-16 21:52:36] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:52:36] Found 4825 unlabelled features.
[2021-03-16 21:52:36] Showing labelled: True (200/5000 visible)
[2021-03-16 21:52:36] Training mlp across 200 data points in blobs...
[2021-03-16 21:52:37] Training loss: 0.3693
[2021-03-16 21:52:37] Testing on 5000 data points...
[2021-03-16 21:52:37] Test accuracy: 0.7206
[2021-03-16 21:52:37] Score for 200 labels: 0.7206
[2021-03-16 21:52:37] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:52:37] Found 4800 unlabelled features.
[2021-03-16 21:52:37] Showing labelled: True (225/5000 visible)
[2021-03-16 21:52:37] Training mlp across 225 data points in blobs...
[2021-03-16 21:52:38] Training loss: 0.3583
[2021-03-16 21:52:38] Testing on 5000 data points...
[2021-03-16 21:52:38] Test accuracy: 0.7202
[2021-03-16 21:52:38] Score for 225 labels: 0.7202
[2021-03-16 21:52:38] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:52:38] Found 4775 unlabelled features.
[2021-03-16 21:52:38] Showing labelled: True (250/5000 visible)
[2021-03-16 21:52:38] Training mlp across 250 data points in blobs...
[2021-03-16 21:52:40] Training loss: 0.3646
[2021-03-16 21:52:40] Testing on 5000 data points...
[2021-03-16 21:52:40] Test accuracy: 0.7288
[2021-03-16 21:52:40] Score for 250 labels: 0.7288
[2021-03-16 21:52:40] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:52:40] Found 4750 unlabelled features.
[2021-03-16 21:52:40] Showing labelled: True (275/5000 visible)
[2021-03-16 21:52:40] Training mlp across 275 data points in blobs...
[2021-03-16 21:52:41] Training loss: 0.3859
[2021-03-16 21:52:41] Testing on 5000 data points...
[2021-03-16 21:52:41] Test accuracy: 0.7316
[2021-03-16 21:52:41] Score for 275 labels: 0.7316
[2021-03-16 21:52:41] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:52:41] Found 4725 unlabelled features.
[2021-03-16 21:52:41] Showing labelled: True (300/5000 visible)
[2021-03-16 21:52:41] Training mlp across 300 data points in blobs...
[2021-03-16 21:52:43] Training loss: 0.3711
[2021-03-16 21:52:43] Testing on 5000 data points...
[2021-03-16 21:52:43] Test accuracy: 0.7274
[2021-03-16 21:52:43] Score for 300 labels: 0.7274
[2021-03-16 21:52:43] Experiment repeat 2/5
[2021-03-16 21:52:43] Randomly labelled 50/5000
[2021-03-16 21:52:43] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:43] Running: experiment 0
[2021-03-16 21:52:43] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:43] mlp: initialized 1482 parameters.
[2021-03-16 21:52:43] Creating trainer with model on device: cuda
[2021-03-16 21:52:43] Training mlp across 50 data points in blobs...
[2021-03-16 21:52:43] Training loss: 1.3686
[2021-03-16 21:52:43] Testing on 5000 data points...
[2021-03-16 21:52:43] Test accuracy: 0.2976
[2021-03-16 21:52:43] Score for 50 labels: 0.2976
[2021-03-16 21:52:43] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:52:43] Found 4950 unlabelled features.
[2021-03-16 21:52:43] Showing labelled: True (75/5000 visible)
[2021-03-16 21:52:43] Training mlp across 75 data points in blobs...
[2021-03-16 21:52:44] Training loss: 0.9245
[2021-03-16 21:52:44] Testing on 5000 data points...
[2021-03-16 21:52:44] Test accuracy: 0.6538
[2021-03-16 21:52:44] Score for 75 labels: 0.6538
[2021-03-16 21:52:44] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:52:44] Found 4925 unlabelled features.
[2021-03-16 21:52:44] Showing labelled: True (100/5000 visible)
[2021-03-16 21:52:44] Training mlp across 100 data points in blobs...
[2021-03-16 21:52:45] Training loss: 0.7230
[2021-03-16 21:52:45] Testing on 5000 data points...
[2021-03-16 21:52:45] Test accuracy: 0.6946
[2021-03-16 21:52:45] Score for 100 labels: 0.6946
[2021-03-16 21:52:45] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:52:45] Found 4900 unlabelled features.
[2021-03-16 21:52:45] Showing labelled: True (125/5000 visible)
[2021-03-16 21:52:45] Training mlp across 125 data points in blobs...
[2021-03-16 21:52:46] Training loss: 0.6574
[2021-03-16 21:52:46] Testing on 5000 data points...
[2021-03-16 21:52:46] Test accuracy: 0.7084
[2021-03-16 21:52:46] Score for 125 labels: 0.7084
[2021-03-16 21:52:46] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:52:46] Found 4875 unlabelled features.
[2021-03-16 21:52:46] Showing labelled: True (150/5000 visible)
[2021-03-16 21:52:46] Training mlp across 150 data points in blobs...
[2021-03-16 21:52:47] Training loss: 0.5484
[2021-03-16 21:52:47] Testing on 5000 data points...
[2021-03-16 21:52:47] Test accuracy: 0.7458
[2021-03-16 21:52:47] Score for 150 labels: 0.7458
[2021-03-16 21:52:47] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:52:47] Found 4850 unlabelled features.
[2021-03-16 21:52:48] Showing labelled: True (175/5000 visible)
[2021-03-16 21:52:48] Training mlp across 175 data points in blobs...
[2021-03-16 21:52:48] Training loss: 0.4517
[2021-03-16 21:52:48] Testing on 5000 data points...
[2021-03-16 21:52:48] Test accuracy: 0.7480
[2021-03-16 21:52:48] Score for 175 labels: 0.7480
[2021-03-16 21:52:48] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:52:48] Found 4825 unlabelled features.
[2021-03-16 21:52:49] Showing labelled: True (200/5000 visible)
[2021-03-16 21:52:49] Training mlp across 200 data points in blobs...
[2021-03-16 21:52:50] Training loss: 0.4154
[2021-03-16 21:52:50] Testing on 5000 data points...
[2021-03-16 21:52:50] Test accuracy: 0.7772
[2021-03-16 21:52:50] Score for 200 labels: 0.7772
[2021-03-16 21:52:50] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:52:50] Found 4800 unlabelled features.
[2021-03-16 21:52:50] Showing labelled: True (225/5000 visible)
[2021-03-16 21:52:50] Training mlp across 225 data points in blobs...
[2021-03-16 21:52:51] Training loss: 0.3721
[2021-03-16 21:52:51] Testing on 5000 data points...
[2021-03-16 21:52:51] Test accuracy: 0.7792
[2021-03-16 21:52:51] Score for 225 labels: 0.7792
[2021-03-16 21:52:51] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:52:51] Found 4775 unlabelled features.
[2021-03-16 21:52:52] Showing labelled: True (250/5000 visible)
[2021-03-16 21:52:52] Training mlp across 250 data points in blobs...
[2021-03-16 21:52:53] Training loss: 0.3572
[2021-03-16 21:52:53] Testing on 5000 data points...
[2021-03-16 21:52:53] Test accuracy: 0.7744
[2021-03-16 21:52:53] Score for 250 labels: 0.7744
[2021-03-16 21:52:53] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:52:53] Found 4750 unlabelled features.
[2021-03-16 21:52:54] Showing labelled: True (275/5000 visible)
[2021-03-16 21:52:54] Training mlp across 275 data points in blobs...
[2021-03-16 21:52:55] Training loss: 0.3493
[2021-03-16 21:52:55] Testing on 5000 data points...
[2021-03-16 21:52:55] Test accuracy: 0.7682
[2021-03-16 21:52:55] Score for 275 labels: 0.7682
[2021-03-16 21:52:55] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:52:55] Found 4725 unlabelled features.
[2021-03-16 21:52:56] Showing labelled: True (300/5000 visible)
[2021-03-16 21:52:56] Training mlp across 300 data points in blobs...
[2021-03-16 21:52:57] Training loss: 0.3382
[2021-03-16 21:52:57] Testing on 5000 data points...
[2021-03-16 21:52:57] Test accuracy: 0.7746
[2021-03-16 21:52:57] Score for 300 labels: 0.7746
[2021-03-16 21:52:57] Running: experiment 1
[2021-03-16 21:52:57] Showing labelled: True (50/5000 visible)
[2021-03-16 21:52:57] mlp: initialized 1482 parameters.
[2021-03-16 21:52:57] Creating trainer with model on device: cuda
[2021-03-16 21:52:57] Training mlp across 50 data points in blobs...
[2021-03-16 21:52:58] Training loss: 1.3122
[2021-03-16 21:52:58] Testing on 5000 data points...
[2021-03-16 21:52:58] Test accuracy: 0.3442
[2021-03-16 21:52:58] Score for 50 labels: 0.3442
[2021-03-16 21:52:58] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:52:58] Found 4950 unlabelled features.
[2021-03-16 21:52:58] Showing labelled: True (75/5000 visible)
[2021-03-16 21:52:58] Training mlp across 75 data points in blobs...
[2021-03-16 21:52:58] Training loss: 0.8852
[2021-03-16 21:52:58] Testing on 5000 data points...
[2021-03-16 21:52:58] Test accuracy: 0.6736
[2021-03-16 21:52:58] Score for 75 labels: 0.6736
[2021-03-16 21:52:58] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:52:58] Found 4925 unlabelled features.
[2021-03-16 21:52:58] Showing labelled: True (100/5000 visible)
[2021-03-16 21:52:58] Training mlp across 100 data points in blobs...
[2021-03-16 21:52:59] Training loss: 0.6414
[2021-03-16 21:52:59] Testing on 5000 data points...
[2021-03-16 21:52:59] Test accuracy: 0.7328
[2021-03-16 21:52:59] Score for 100 labels: 0.7328
[2021-03-16 21:52:59] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:52:59] Found 4900 unlabelled features.
[2021-03-16 21:52:59] Showing labelled: True (125/5000 visible)
[2021-03-16 21:52:59] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:00] Training loss: 0.5325
[2021-03-16 21:53:00] Testing on 5000 data points...
[2021-03-16 21:53:00] Test accuracy: 0.7654
[2021-03-16 21:53:00] Score for 125 labels: 0.7654
[2021-03-16 21:53:00] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:00] Found 4875 unlabelled features.
[2021-03-16 21:53:00] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:00] Training mlp across 150 data points in blobs...
[2021-03-16 21:53:01] Training loss: 0.4420
[2021-03-16 21:53:01] Testing on 5000 data points...
[2021-03-16 21:53:01] Test accuracy: 0.7626
[2021-03-16 21:53:01] Score for 150 labels: 0.7626
[2021-03-16 21:53:01] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:53:01] Found 4850 unlabelled features.
[2021-03-16 21:53:01] Showing labelled: True (175/5000 visible)
[2021-03-16 21:53:01] Training mlp across 175 data points in blobs...
[2021-03-16 21:53:02] Training loss: 0.4169
[2021-03-16 21:53:02] Testing on 5000 data points...
[2021-03-16 21:53:02] Test accuracy: 0.7826
[2021-03-16 21:53:02] Score for 175 labels: 0.7826
[2021-03-16 21:53:02] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:53:02] Found 4825 unlabelled features.
[2021-03-16 21:53:02] Showing labelled: True (200/5000 visible)
[2021-03-16 21:53:02] Training mlp across 200 data points in blobs...
[2021-03-16 21:53:03] Training loss: 0.3746
[2021-03-16 21:53:03] Testing on 5000 data points...
[2021-03-16 21:53:03] Test accuracy: 0.7746
[2021-03-16 21:53:03] Score for 200 labels: 0.7746
[2021-03-16 21:53:03] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:53:03] Found 4800 unlabelled features.
[2021-03-16 21:53:03] Showing labelled: True (225/5000 visible)
[2021-03-16 21:53:03] Training mlp across 225 data points in blobs...
[2021-03-16 21:53:05] Training loss: 0.3367
[2021-03-16 21:53:05] Testing on 5000 data points...
[2021-03-16 21:53:05] Test accuracy: 0.7920
[2021-03-16 21:53:05] Score for 225 labels: 0.7920
[2021-03-16 21:53:05] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:53:05] Found 4775 unlabelled features.
[2021-03-16 21:53:05] Showing labelled: True (250/5000 visible)
[2021-03-16 21:53:05] Training mlp across 250 data points in blobs...
[2021-03-16 21:53:06] Training loss: 0.3054
[2021-03-16 21:53:06] Testing on 5000 data points...
[2021-03-16 21:53:06] Test accuracy: 0.7750
[2021-03-16 21:53:06] Score for 250 labels: 0.7750
[2021-03-16 21:53:06] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:53:06] Found 4750 unlabelled features.
[2021-03-16 21:53:06] Showing labelled: True (275/5000 visible)
[2021-03-16 21:53:06] Training mlp across 275 data points in blobs...
[2021-03-16 21:53:07] Training loss: 0.3205
[2021-03-16 21:53:07] Testing on 5000 data points...
[2021-03-16 21:53:08] Test accuracy: 0.7928
[2021-03-16 21:53:08] Score for 275 labels: 0.7928
[2021-03-16 21:53:08] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:53:08] Found 4725 unlabelled features.
[2021-03-16 21:53:08] Showing labelled: True (300/5000 visible)
[2021-03-16 21:53:08] Training mlp across 300 data points in blobs...
[2021-03-16 21:53:09] Training loss: 0.3008
[2021-03-16 21:53:09] Testing on 5000 data points...
[2021-03-16 21:53:09] Test accuracy: 0.7978
[2021-03-16 21:53:09] Score for 300 labels: 0.7978
[2021-03-16 21:53:09] Running: experiment 2
[2021-03-16 21:53:09] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:09] mlp: initialized 1482 parameters.
[2021-03-16 21:53:09] Creating trainer with model on device: cuda
[2021-03-16 21:53:09] Training mlp across 50 data points in blobs...
[2021-03-16 21:53:09] Training loss: 1.4146
[2021-03-16 21:53:09] Testing on 5000 data points...
[2021-03-16 21:53:09] Test accuracy: 0.2902
[2021-03-16 21:53:09] Score for 50 labels: 0.2902
[2021-03-16 21:53:09] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:53:09] Found 4950 unlabelled features.
[2021-03-16 21:53:09] Showing labelled: True (75/5000 visible)
[2021-03-16 21:53:09] Training mlp across 75 data points in blobs...
[2021-03-16 21:53:10] Training loss: 0.7447
[2021-03-16 21:53:10] Testing on 5000 data points...
[2021-03-16 21:53:10] Test accuracy: 0.5280
[2021-03-16 21:53:10] Score for 75 labels: 0.5280
[2021-03-16 21:53:10] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:53:10] Found 4925 unlabelled features.
[2021-03-16 21:53:10] Showing labelled: True (100/5000 visible)
[2021-03-16 21:53:10] Training mlp across 100 data points in blobs...
[2021-03-16 21:53:11] Training loss: 0.5583
[2021-03-16 21:53:11] Testing on 5000 data points...
[2021-03-16 21:53:11] Test accuracy: 0.5778
[2021-03-16 21:53:11] Score for 100 labels: 0.5778
[2021-03-16 21:53:11] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:53:11] Found 4900 unlabelled features.
[2021-03-16 21:53:11] Showing labelled: True (125/5000 visible)
[2021-03-16 21:53:11] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:11] Training loss: 0.5131
[2021-03-16 21:53:11] Testing on 5000 data points...
[2021-03-16 21:53:11] Test accuracy: 0.5934
[2021-03-16 21:53:11] Score for 125 labels: 0.5934
[2021-03-16 21:53:11] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:11] Found 4875 unlabelled features.
[2021-03-16 21:53:11] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:11] Training mlp across 150 data points in blobs...
[2021-03-16 21:53:12] Training loss: 0.4740
[2021-03-16 21:53:12] Testing on 5000 data points...
[2021-03-16 21:53:12] Test accuracy: 0.6114
[2021-03-16 21:53:12] Score for 150 labels: 0.6114
[2021-03-16 21:53:12] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:53:12] Found 4850 unlabelled features.
[2021-03-16 21:53:12] Showing labelled: True (175/5000 visible)
[2021-03-16 21:53:12] Training mlp across 175 data points in blobs...
[2021-03-16 21:53:13] Training loss: 0.4474
[2021-03-16 21:53:13] Testing on 5000 data points...
[2021-03-16 21:53:13] Test accuracy: 0.7176
[2021-03-16 21:53:13] Score for 175 labels: 0.7176
[2021-03-16 21:53:13] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:53:13] Found 4825 unlabelled features.
[2021-03-16 21:53:13] Showing labelled: True (200/5000 visible)
[2021-03-16 21:53:13] Training mlp across 200 data points in blobs...
[2021-03-16 21:53:14] Training loss: 0.4223
[2021-03-16 21:53:14] Testing on 5000 data points...
[2021-03-16 21:53:14] Test accuracy: 0.7286
[2021-03-16 21:53:14] Score for 200 labels: 0.7286
[2021-03-16 21:53:14] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:53:14] Found 4800 unlabelled features.
[2021-03-16 21:53:14] Showing labelled: True (225/5000 visible)
[2021-03-16 21:53:14] Training mlp across 225 data points in blobs...
[2021-03-16 21:53:15] Training loss: 0.4068
[2021-03-16 21:53:15] Testing on 5000 data points...
[2021-03-16 21:53:15] Test accuracy: 0.7418
[2021-03-16 21:53:15] Score for 225 labels: 0.7418
[2021-03-16 21:53:15] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:53:15] Found 4775 unlabelled features.
[2021-03-16 21:53:15] Showing labelled: True (250/5000 visible)
[2021-03-16 21:53:15] Training mlp across 250 data points in blobs...
[2021-03-16 21:53:17] Training loss: 0.3979
[2021-03-16 21:53:17] Testing on 5000 data points...
[2021-03-16 21:53:17] Test accuracy: 0.7470
[2021-03-16 21:53:17] Score for 250 labels: 0.7470
[2021-03-16 21:53:17] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:53:17] Found 4750 unlabelled features.
[2021-03-16 21:53:17] Showing labelled: True (275/5000 visible)
[2021-03-16 21:53:17] Training mlp across 275 data points in blobs...
[2021-03-16 21:53:18] Training loss: 0.3742
[2021-03-16 21:53:18] Testing on 5000 data points...
[2021-03-16 21:53:18] Test accuracy: 0.7498
[2021-03-16 21:53:18] Score for 275 labels: 0.7498
[2021-03-16 21:53:18] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:53:18] Found 4725 unlabelled features.
[2021-03-16 21:53:18] Showing labelled: True (300/5000 visible)
[2021-03-16 21:53:18] Training mlp across 300 data points in blobs...
[2021-03-16 21:53:19] Training loss: 0.3689
[2021-03-16 21:53:19] Testing on 5000 data points...
[2021-03-16 21:53:20] Test accuracy: 0.7542
[2021-03-16 21:53:20] Score for 300 labels: 0.7542
[2021-03-16 21:53:20] Experiment repeat 3/5
[2021-03-16 21:53:20] Randomly labelled 50/5000
[2021-03-16 21:53:20] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:20] Running: experiment 0
[2021-03-16 21:53:20] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:20] mlp: initialized 1482 parameters.
[2021-03-16 21:53:20] Creating trainer with model on device: cuda
[2021-03-16 21:53:20] Training mlp across 50 data points in blobs...
[2021-03-16 21:53:20] Training loss: 1.3216
[2021-03-16 21:53:20] Testing on 5000 data points...
[2021-03-16 21:53:20] Test accuracy: 0.3556
[2021-03-16 21:53:20] Score for 50 labels: 0.3556
[2021-03-16 21:53:20] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:53:20] Found 4950 unlabelled features.
[2021-03-16 21:53:20] Showing labelled: True (75/5000 visible)
[2021-03-16 21:53:20] Training mlp across 75 data points in blobs...
[2021-03-16 21:53:21] Training loss: 0.9473
[2021-03-16 21:53:21] Testing on 5000 data points...
[2021-03-16 21:53:21] Test accuracy: 0.6536
[2021-03-16 21:53:21] Score for 75 labels: 0.6536
[2021-03-16 21:53:21] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:53:21] Found 4925 unlabelled features.
[2021-03-16 21:53:21] Showing labelled: True (100/5000 visible)
[2021-03-16 21:53:21] Training mlp across 100 data points in blobs...
[2021-03-16 21:53:22] Training loss: 0.6687
[2021-03-16 21:53:22] Testing on 5000 data points...
[2021-03-16 21:53:22] Test accuracy: 0.7188
[2021-03-16 21:53:22] Score for 100 labels: 0.7188
[2021-03-16 21:53:22] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:53:22] Found 4900 unlabelled features.
[2021-03-16 21:53:22] Showing labelled: True (125/5000 visible)
[2021-03-16 21:53:22] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:23] Training loss: 0.5562
[2021-03-16 21:53:23] Testing on 5000 data points...
[2021-03-16 21:53:23] Test accuracy: 0.7276
[2021-03-16 21:53:23] Score for 125 labels: 0.7276
[2021-03-16 21:53:23] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:23] Found 4875 unlabelled features.
[2021-03-16 21:53:23] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:23] Training mlp across 150 data points in blobs...
[2021-03-16 21:53:24] Training loss: 0.4680
[2021-03-16 21:53:24] Testing on 5000 data points...
[2021-03-16 21:53:24] Test accuracy: 0.7540
[2021-03-16 21:53:24] Score for 150 labels: 0.7540
[2021-03-16 21:53:24] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:53:24] Found 4850 unlabelled features.
[2021-03-16 21:53:24] Showing labelled: True (175/5000 visible)
[2021-03-16 21:53:24] Training mlp across 175 data points in blobs...
[2021-03-16 21:53:25] Training loss: 0.3974
[2021-03-16 21:53:25] Testing on 5000 data points...
[2021-03-16 21:53:25] Test accuracy: 0.7552
[2021-03-16 21:53:25] Score for 175 labels: 0.7552
[2021-03-16 21:53:25] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:53:25] Found 4825 unlabelled features.
[2021-03-16 21:53:26] Showing labelled: True (200/5000 visible)
[2021-03-16 21:53:26] Training mlp across 200 data points in blobs...
[2021-03-16 21:53:27] Training loss: 0.3407
[2021-03-16 21:53:27] Testing on 5000 data points...
[2021-03-16 21:53:27] Test accuracy: 0.7792
[2021-03-16 21:53:27] Score for 200 labels: 0.7792
[2021-03-16 21:53:27] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:53:27] Found 4800 unlabelled features.
[2021-03-16 21:53:27] Showing labelled: True (225/5000 visible)
[2021-03-16 21:53:27] Training mlp across 225 data points in blobs...
[2021-03-16 21:53:28] Training loss: 0.3198
[2021-03-16 21:53:28] Testing on 5000 data points...
[2021-03-16 21:53:28] Test accuracy: 0.7782
[2021-03-16 21:53:28] Score for 225 labels: 0.7782
[2021-03-16 21:53:28] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:53:28] Found 4775 unlabelled features.
[2021-03-16 21:53:29] Showing labelled: True (250/5000 visible)
[2021-03-16 21:53:29] Training mlp across 250 data points in blobs...
[2021-03-16 21:53:30] Training loss: 0.3126
[2021-03-16 21:53:30] Testing on 5000 data points...
[2021-03-16 21:53:30] Test accuracy: 0.7870
[2021-03-16 21:53:30] Score for 250 labels: 0.7870
[2021-03-16 21:53:30] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:53:30] Found 4750 unlabelled features.
[2021-03-16 21:53:31] Showing labelled: True (275/5000 visible)
[2021-03-16 21:53:31] Training mlp across 275 data points in blobs...
[2021-03-16 21:53:32] Training loss: 0.3054
[2021-03-16 21:53:32] Testing on 5000 data points...
[2021-03-16 21:53:32] Test accuracy: 0.7848
[2021-03-16 21:53:32] Score for 275 labels: 0.7848
[2021-03-16 21:53:32] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:53:32] Found 4725 unlabelled features.
[2021-03-16 21:53:33] Showing labelled: True (300/5000 visible)
[2021-03-16 21:53:33] Training mlp across 300 data points in blobs...
[2021-03-16 21:53:34] Training loss: 0.3050
[2021-03-16 21:53:34] Testing on 5000 data points...
[2021-03-16 21:53:34] Test accuracy: 0.7912
[2021-03-16 21:53:34] Score for 300 labels: 0.7912
[2021-03-16 21:53:34] Running: experiment 1
[2021-03-16 21:53:34] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:34] mlp: initialized 1482 parameters.
[2021-03-16 21:53:34] Creating trainer with model on device: cuda
[2021-03-16 21:53:34] Training mlp across 50 data points in blobs...
[2021-03-16 21:53:34] Training loss: 1.2411
[2021-03-16 21:53:34] Testing on 5000 data points...
[2021-03-16 21:53:34] Test accuracy: 0.3718
[2021-03-16 21:53:34] Score for 50 labels: 0.3718
[2021-03-16 21:53:34] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:53:34] Found 4950 unlabelled features.
[2021-03-16 21:53:34] Showing labelled: True (75/5000 visible)
[2021-03-16 21:53:34] Training mlp across 75 data points in blobs...
[2021-03-16 21:53:35] Training loss: 0.8270
[2021-03-16 21:53:35] Testing on 5000 data points...
[2021-03-16 21:53:35] Test accuracy: 0.6550
[2021-03-16 21:53:35] Score for 75 labels: 0.6550
[2021-03-16 21:53:35] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:53:35] Found 4925 unlabelled features.
[2021-03-16 21:53:35] Showing labelled: True (100/5000 visible)
[2021-03-16 21:53:35] Training mlp across 100 data points in blobs...
[2021-03-16 21:53:36] Training loss: 0.6171
[2021-03-16 21:53:36] Testing on 5000 data points...
[2021-03-16 21:53:36] Test accuracy: 0.7154
[2021-03-16 21:53:36] Score for 100 labels: 0.7154
[2021-03-16 21:53:36] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:53:36] Found 4900 unlabelled features.
[2021-03-16 21:53:36] Showing labelled: True (125/5000 visible)
[2021-03-16 21:53:36] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:36] Training loss: 0.5267
[2021-03-16 21:53:36] Testing on 5000 data points...
[2021-03-16 21:53:36] Test accuracy: 0.7068
[2021-03-16 21:53:36] Score for 125 labels: 0.7068
[2021-03-16 21:53:36] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:36] Found 4875 unlabelled features.
[2021-03-16 21:53:36] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:36] Training mlp across 150 data points in blobs...
[2021-03-16 21:53:37] Training loss: 0.4251
[2021-03-16 21:53:37] Testing on 5000 data points...
[2021-03-16 21:53:37] Test accuracy: 0.7358
[2021-03-16 21:53:37] Score for 150 labels: 0.7358
[2021-03-16 21:53:37] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:53:37] Found 4850 unlabelled features.
[2021-03-16 21:53:37] Showing labelled: True (175/5000 visible)
[2021-03-16 21:53:37] Training mlp across 175 data points in blobs...
[2021-03-16 21:53:38] Training loss: 0.3657
[2021-03-16 21:53:38] Testing on 5000 data points...
[2021-03-16 21:53:38] Test accuracy: 0.7598
[2021-03-16 21:53:38] Score for 175 labels: 0.7598
[2021-03-16 21:53:38] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:53:38] Found 4825 unlabelled features.
[2021-03-16 21:53:38] Showing labelled: True (200/5000 visible)
[2021-03-16 21:53:38] Training mlp across 200 data points in blobs...
[2021-03-16 21:53:39] Training loss: 0.3188
[2021-03-16 21:53:39] Testing on 5000 data points...
[2021-03-16 21:53:39] Test accuracy: 0.7426
[2021-03-16 21:53:39] Score for 200 labels: 0.7426
[2021-03-16 21:53:39] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:53:39] Found 4800 unlabelled features.
[2021-03-16 21:53:40] Showing labelled: True (225/5000 visible)
[2021-03-16 21:53:40] Training mlp across 225 data points in blobs...
[2021-03-16 21:53:41] Training loss: 0.2981
[2021-03-16 21:53:41] Testing on 5000 data points...
[2021-03-16 21:53:41] Test accuracy: 0.7612
[2021-03-16 21:53:41] Score for 225 labels: 0.7612
[2021-03-16 21:53:41] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:53:41] Found 4775 unlabelled features.
[2021-03-16 21:53:41] Showing labelled: True (250/5000 visible)
[2021-03-16 21:53:41] Training mlp across 250 data points in blobs...
[2021-03-16 21:53:42] Training loss: 0.2612
[2021-03-16 21:53:42] Testing on 5000 data points...
[2021-03-16 21:53:42] Test accuracy: 0.7760
[2021-03-16 21:53:42] Score for 250 labels: 0.7760
[2021-03-16 21:53:42] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:53:42] Found 4750 unlabelled features.
[2021-03-16 21:53:42] Showing labelled: True (275/5000 visible)
[2021-03-16 21:53:42] Training mlp across 275 data points in blobs...
[2021-03-16 21:53:44] Training loss: 0.2527
[2021-03-16 21:53:44] Testing on 5000 data points...
[2021-03-16 21:53:44] Test accuracy: 0.7818
[2021-03-16 21:53:44] Score for 275 labels: 0.7818
[2021-03-16 21:53:44] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:53:44] Found 4725 unlabelled features.
[2021-03-16 21:53:44] Showing labelled: True (300/5000 visible)
[2021-03-16 21:53:44] Training mlp across 300 data points in blobs...
[2021-03-16 21:53:45] Training loss: 0.2629
[2021-03-16 21:53:45] Testing on 5000 data points...
[2021-03-16 21:53:45] Test accuracy: 0.7952
[2021-03-16 21:53:45] Score for 300 labels: 0.7952
[2021-03-16 21:53:45] Running: experiment 2
[2021-03-16 21:53:45] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:45] mlp: initialized 1482 parameters.
[2021-03-16 21:53:45] Creating trainer with model on device: cuda
[2021-03-16 21:53:45] Training mlp across 50 data points in blobs...
[2021-03-16 21:53:46] Training loss: 1.3545
[2021-03-16 21:53:46] Testing on 5000 data points...
[2021-03-16 21:53:46] Test accuracy: 0.4786
[2021-03-16 21:53:46] Score for 50 labels: 0.4786
[2021-03-16 21:53:46] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:53:46] Found 4950 unlabelled features.
[2021-03-16 21:53:46] Showing labelled: True (75/5000 visible)
[2021-03-16 21:53:46] Training mlp across 75 data points in blobs...
[2021-03-16 21:53:46] Training loss: 0.7278
[2021-03-16 21:53:46] Testing on 5000 data points...
[2021-03-16 21:53:46] Test accuracy: 0.5348
[2021-03-16 21:53:46] Score for 75 labels: 0.5348
[2021-03-16 21:53:46] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:53:46] Found 4925 unlabelled features.
[2021-03-16 21:53:46] Showing labelled: True (100/5000 visible)
[2021-03-16 21:53:46] Training mlp across 100 data points in blobs...
[2021-03-16 21:53:47] Training loss: 0.6394
[2021-03-16 21:53:47] Testing on 5000 data points...
[2021-03-16 21:53:47] Test accuracy: 0.5762
[2021-03-16 21:53:47] Score for 100 labels: 0.5762
[2021-03-16 21:53:47] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:53:47] Found 4900 unlabelled features.
[2021-03-16 21:53:47] Showing labelled: True (125/5000 visible)
[2021-03-16 21:53:47] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:47] Training loss: 0.5119
[2021-03-16 21:53:47] Testing on 5000 data points...
[2021-03-16 21:53:47] Test accuracy: 0.6692
[2021-03-16 21:53:47] Score for 125 labels: 0.6692
[2021-03-16 21:53:47] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:47] Found 4875 unlabelled features.
[2021-03-16 21:53:48] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:48] Training mlp across 150 data points in blobs...
[2021-03-16 21:53:48] Training loss: 0.5069
[2021-03-16 21:53:48] Testing on 5000 data points...
[2021-03-16 21:53:48] Test accuracy: 0.6828
[2021-03-16 21:53:48] Score for 150 labels: 0.6828
[2021-03-16 21:53:48] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:53:48] Found 4850 unlabelled features.
[2021-03-16 21:53:48] Showing labelled: True (175/5000 visible)
[2021-03-16 21:53:48] Training mlp across 175 data points in blobs...
[2021-03-16 21:53:49] Training loss: 0.4334
[2021-03-16 21:53:49] Testing on 5000 data points...
[2021-03-16 21:53:49] Test accuracy: 0.6942
[2021-03-16 21:53:49] Score for 175 labels: 0.6942
[2021-03-16 21:53:49] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:53:49] Found 4825 unlabelled features.
[2021-03-16 21:53:49] Showing labelled: True (200/5000 visible)
[2021-03-16 21:53:49] Training mlp across 200 data points in blobs...
[2021-03-16 21:53:50] Training loss: 0.4289
[2021-03-16 21:53:50] Testing on 5000 data points...
[2021-03-16 21:53:50] Test accuracy: 0.7252
[2021-03-16 21:53:50] Score for 200 labels: 0.7252
[2021-03-16 21:53:50] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:53:50] Found 4800 unlabelled features.
[2021-03-16 21:53:50] Showing labelled: True (225/5000 visible)
[2021-03-16 21:53:50] Training mlp across 225 data points in blobs...
[2021-03-16 21:53:51] Training loss: 0.3947
[2021-03-16 21:53:51] Testing on 5000 data points...
[2021-03-16 21:53:52] Test accuracy: 0.7548
[2021-03-16 21:53:52] Score for 225 labels: 0.7548
[2021-03-16 21:53:52] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:53:52] Found 4775 unlabelled features.
[2021-03-16 21:53:52] Showing labelled: True (250/5000 visible)
[2021-03-16 21:53:52] Training mlp across 250 data points in blobs...
[2021-03-16 21:53:53] Training loss: 0.3791
[2021-03-16 21:53:53] Testing on 5000 data points...
[2021-03-16 21:53:53] Test accuracy: 0.7486
[2021-03-16 21:53:53] Score for 250 labels: 0.7486
[2021-03-16 21:53:53] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:53:53] Found 4750 unlabelled features.
[2021-03-16 21:53:53] Showing labelled: True (275/5000 visible)
[2021-03-16 21:53:53] Training mlp across 275 data points in blobs...
[2021-03-16 21:53:54] Training loss: 0.3712
[2021-03-16 21:53:54] Testing on 5000 data points...
[2021-03-16 21:53:54] Test accuracy: 0.7568
[2021-03-16 21:53:54] Score for 275 labels: 0.7568
[2021-03-16 21:53:54] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:53:54] Found 4725 unlabelled features.
[2021-03-16 21:53:54] Showing labelled: True (300/5000 visible)
[2021-03-16 21:53:54] Training mlp across 300 data points in blobs...
[2021-03-16 21:53:56] Training loss: 0.3619
[2021-03-16 21:53:56] Testing on 5000 data points...
[2021-03-16 21:53:56] Test accuracy: 0.7688
[2021-03-16 21:53:56] Score for 300 labels: 0.7688
[2021-03-16 21:53:56] Experiment repeat 4/5
[2021-03-16 21:53:56] Randomly labelled 50/5000
[2021-03-16 21:53:56] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:56] Running: experiment 0
[2021-03-16 21:53:56] Showing labelled: True (50/5000 visible)
[2021-03-16 21:53:56] mlp: initialized 1482 parameters.
[2021-03-16 21:53:56] Creating trainer with model on device: cuda
[2021-03-16 21:53:56] Training mlp across 50 data points in blobs...
[2021-03-16 21:53:56] Training loss: 1.3576
[2021-03-16 21:53:56] Testing on 5000 data points...
[2021-03-16 21:53:56] Test accuracy: 0.4302
[2021-03-16 21:53:56] Score for 50 labels: 0.4302
[2021-03-16 21:53:56] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:53:56] Found 4950 unlabelled features.
[2021-03-16 21:53:56] Showing labelled: True (75/5000 visible)
[2021-03-16 21:53:56] Training mlp across 75 data points in blobs...
[2021-03-16 21:53:57] Training loss: 0.8449
[2021-03-16 21:53:57] Testing on 5000 data points...
[2021-03-16 21:53:57] Test accuracy: 0.6010
[2021-03-16 21:53:57] Score for 75 labels: 0.6010
[2021-03-16 21:53:57] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:53:57] Found 4925 unlabelled features.
[2021-03-16 21:53:57] Showing labelled: True (100/5000 visible)
[2021-03-16 21:53:57] Training mlp across 100 data points in blobs...
[2021-03-16 21:53:58] Training loss: 0.6368
[2021-03-16 21:53:58] Testing on 5000 data points...
[2021-03-16 21:53:58] Test accuracy: 0.7408
[2021-03-16 21:53:58] Score for 100 labels: 0.7408
[2021-03-16 21:53:58] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:53:58] Found 4900 unlabelled features.
[2021-03-16 21:53:58] Showing labelled: True (125/5000 visible)
[2021-03-16 21:53:58] Training mlp across 125 data points in blobs...
[2021-03-16 21:53:59] Training loss: 0.5090
[2021-03-16 21:53:59] Testing on 5000 data points...
[2021-03-16 21:53:59] Test accuracy: 0.7194
[2021-03-16 21:53:59] Score for 125 labels: 0.7194
[2021-03-16 21:53:59] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:53:59] Found 4875 unlabelled features.
[2021-03-16 21:53:59] Showing labelled: True (150/5000 visible)
[2021-03-16 21:53:59] Training mlp across 150 data points in blobs...
[2021-03-16 21:54:00] Training loss: 0.3863
[2021-03-16 21:54:00] Testing on 5000 data points...
[2021-03-16 21:54:00] Test accuracy: 0.7690
[2021-03-16 21:54:00] Score for 150 labels: 0.7690
[2021-03-16 21:54:00] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:54:00] Found 4850 unlabelled features.
[2021-03-16 21:54:01] Showing labelled: True (175/5000 visible)
[2021-03-16 21:54:01] Training mlp across 175 data points in blobs...
[2021-03-16 21:54:01] Training loss: 0.3734
[2021-03-16 21:54:01] Testing on 5000 data points...
[2021-03-16 21:54:01] Test accuracy: 0.7830
[2021-03-16 21:54:01] Score for 175 labels: 0.7830
[2021-03-16 21:54:01] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:54:01] Found 4825 unlabelled features.
[2021-03-16 21:54:02] Showing labelled: True (200/5000 visible)
[2021-03-16 21:54:02] Training mlp across 200 data points in blobs...
[2021-03-16 21:54:03] Training loss: 0.3469
[2021-03-16 21:54:03] Testing on 5000 data points...
[2021-03-16 21:54:03] Test accuracy: 0.7864
[2021-03-16 21:54:03] Score for 200 labels: 0.7864
[2021-03-16 21:54:03] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:54:03] Found 4800 unlabelled features.
[2021-03-16 21:54:03] Showing labelled: True (225/5000 visible)
[2021-03-16 21:54:03] Training mlp across 225 data points in blobs...
[2021-03-16 21:54:04] Training loss: 0.3456
[2021-03-16 21:54:04] Testing on 5000 data points...
[2021-03-16 21:54:04] Test accuracy: 0.7914
[2021-03-16 21:54:04] Score for 225 labels: 0.7914
[2021-03-16 21:54:04] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:54:04] Found 4775 unlabelled features.
[2021-03-16 21:54:05] Showing labelled: True (250/5000 visible)
[2021-03-16 21:54:05] Training mlp across 250 data points in blobs...
[2021-03-16 21:54:06] Training loss: 0.3033
[2021-03-16 21:54:06] Testing on 5000 data points...
[2021-03-16 21:54:06] Test accuracy: 0.7912
[2021-03-16 21:54:06] Score for 250 labels: 0.7912
[2021-03-16 21:54:06] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:54:06] Found 4750 unlabelled features.
[2021-03-16 21:54:07] Showing labelled: True (275/5000 visible)
[2021-03-16 21:54:07] Training mlp across 275 data points in blobs...
[2021-03-16 21:54:09] Training loss: 0.3168
[2021-03-16 21:54:09] Testing on 5000 data points...
[2021-03-16 21:54:09] Test accuracy: 0.7898
[2021-03-16 21:54:09] Score for 275 labels: 0.7898
[2021-03-16 21:54:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:54:09] Found 4725 unlabelled features.
[2021-03-16 21:54:09] Showing labelled: True (300/5000 visible)
[2021-03-16 21:54:09] Training mlp across 300 data points in blobs...
[2021-03-16 21:54:11] Training loss: 0.3047
[2021-03-16 21:54:11] Testing on 5000 data points...
[2021-03-16 21:54:11] Test accuracy: 0.7848
[2021-03-16 21:54:11] Score for 300 labels: 0.7848
[2021-03-16 21:54:11] Running: experiment 1
[2021-03-16 21:54:11] Showing labelled: True (50/5000 visible)
[2021-03-16 21:54:11] mlp: initialized 1482 parameters.
[2021-03-16 21:54:11] Creating trainer with model on device: cuda
[2021-03-16 21:54:11] Training mlp across 50 data points in blobs...
[2021-03-16 21:54:11] Training loss: 1.4364
[2021-03-16 21:54:11] Testing on 5000 data points...
[2021-03-16 21:54:11] Test accuracy: 0.4282
[2021-03-16 21:54:11] Score for 50 labels: 0.4282
[2021-03-16 21:54:11] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:54:11] Found 4950 unlabelled features.
[2021-03-16 21:54:11] Showing labelled: True (75/5000 visible)
[2021-03-16 21:54:11] Training mlp across 75 data points in blobs...
[2021-03-16 21:54:12] Training loss: 0.8296
[2021-03-16 21:54:12] Testing on 5000 data points...
[2021-03-16 21:54:12] Test accuracy: 0.7164
[2021-03-16 21:54:12] Score for 75 labels: 0.7164
[2021-03-16 21:54:12] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:54:12] Found 4925 unlabelled features.
[2021-03-16 21:54:12] Showing labelled: True (100/5000 visible)
[2021-03-16 21:54:12] Training mlp across 100 data points in blobs...
[2021-03-16 21:54:12] Training loss: 0.5510
[2021-03-16 21:54:12] Testing on 5000 data points...
[2021-03-16 21:54:12] Test accuracy: 0.7626
[2021-03-16 21:54:12] Score for 100 labels: 0.7626
[2021-03-16 21:54:12] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:54:12] Found 4900 unlabelled features.
[2021-03-16 21:54:12] Showing labelled: True (125/5000 visible)
[2021-03-16 21:54:12] Training mlp across 125 data points in blobs...
[2021-03-16 21:54:13] Training loss: 0.4724
[2021-03-16 21:54:13] Testing on 5000 data points...
[2021-03-16 21:54:13] Test accuracy: 0.7672
[2021-03-16 21:54:13] Score for 125 labels: 0.7672
[2021-03-16 21:54:13] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:54:13] Found 4875 unlabelled features.
[2021-03-16 21:54:13] Showing labelled: True (150/5000 visible)
[2021-03-16 21:54:13] Training mlp across 150 data points in blobs...
[2021-03-16 21:54:14] Training loss: 0.3753
[2021-03-16 21:54:14] Testing on 5000 data points...
[2021-03-16 21:54:14] Test accuracy: 0.7650
[2021-03-16 21:54:14] Score for 150 labels: 0.7650
[2021-03-16 21:54:14] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:54:14] Found 4850 unlabelled features.
[2021-03-16 21:54:14] Showing labelled: True (175/5000 visible)
[2021-03-16 21:54:14] Training mlp across 175 data points in blobs...
[2021-03-16 21:54:15] Training loss: 0.3024
[2021-03-16 21:54:15] Testing on 5000 data points...
[2021-03-16 21:54:15] Test accuracy: 0.7592
[2021-03-16 21:54:15] Score for 175 labels: 0.7592
[2021-03-16 21:54:15] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:54:15] Found 4825 unlabelled features.
[2021-03-16 21:54:15] Showing labelled: True (200/5000 visible)
[2021-03-16 21:54:15] Training mlp across 200 data points in blobs...
[2021-03-16 21:54:16] Training loss: 0.2915
[2021-03-16 21:54:16] Testing on 5000 data points...
[2021-03-16 21:54:16] Test accuracy: 0.7636
[2021-03-16 21:54:16] Score for 200 labels: 0.7636
[2021-03-16 21:54:16] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:54:16] Found 4800 unlabelled features.
[2021-03-16 21:54:16] Showing labelled: True (225/5000 visible)
[2021-03-16 21:54:16] Training mlp across 225 data points in blobs...
[2021-03-16 21:54:18] Training loss: 0.2786
[2021-03-16 21:54:18] Testing on 5000 data points...
[2021-03-16 21:54:18] Test accuracy: 0.7768
[2021-03-16 21:54:18] Score for 225 labels: 0.7768
[2021-03-16 21:54:18] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:54:18] Found 4775 unlabelled features.
[2021-03-16 21:54:18] Showing labelled: True (250/5000 visible)
[2021-03-16 21:54:18] Training mlp across 250 data points in blobs...
[2021-03-16 21:54:19] Training loss: 0.2632
[2021-03-16 21:54:19] Testing on 5000 data points...
[2021-03-16 21:54:19] Test accuracy: 0.7734
[2021-03-16 21:54:19] Score for 250 labels: 0.7734
[2021-03-16 21:54:19] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:54:19] Found 4750 unlabelled features.
[2021-03-16 21:54:19] Showing labelled: True (275/5000 visible)
[2021-03-16 21:54:19] Training mlp across 275 data points in blobs...
[2021-03-16 21:54:21] Training loss: 0.2745
[2021-03-16 21:54:21] Testing on 5000 data points...
[2021-03-16 21:54:21] Test accuracy: 0.7808
[2021-03-16 21:54:21] Score for 275 labels: 0.7808
[2021-03-16 21:54:21] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:54:21] Found 4725 unlabelled features.
[2021-03-16 21:54:21] Showing labelled: True (300/5000 visible)
[2021-03-16 21:54:21] Training mlp across 300 data points in blobs...
[2021-03-16 21:54:22] Training loss: 0.2606
[2021-03-16 21:54:22] Testing on 5000 data points...
[2021-03-16 21:54:22] Test accuracy: 0.7796
[2021-03-16 21:54:22] Score for 300 labels: 0.7796
[2021-03-16 21:54:22] Running: experiment 2
[2021-03-16 21:54:22] Showing labelled: True (50/5000 visible)
[2021-03-16 21:54:22] mlp: initialized 1482 parameters.
[2021-03-16 21:54:22] Creating trainer with model on device: cuda
[2021-03-16 21:54:22] Training mlp across 50 data points in blobs...
[2021-03-16 21:54:23] Training loss: 1.4638
[2021-03-16 21:54:23] Testing on 5000 data points...
[2021-03-16 21:54:23] Test accuracy: 0.4254
[2021-03-16 21:54:23] Score for 50 labels: 0.4254
[2021-03-16 21:54:23] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:54:23] Found 4950 unlabelled features.
[2021-03-16 21:54:23] Showing labelled: True (75/5000 visible)
[2021-03-16 21:54:23] Training mlp across 75 data points in blobs...
[2021-03-16 21:54:23] Training loss: 0.7125
[2021-03-16 21:54:23] Testing on 5000 data points...
[2021-03-16 21:54:23] Test accuracy: 0.5552
[2021-03-16 21:54:23] Score for 75 labels: 0.5552
[2021-03-16 21:54:23] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:54:23] Found 4925 unlabelled features.
[2021-03-16 21:54:23] Showing labelled: True (100/5000 visible)
[2021-03-16 21:54:23] Training mlp across 100 data points in blobs...
[2021-03-16 21:54:24] Training loss: 0.4993
[2021-03-16 21:54:24] Testing on 5000 data points...
[2021-03-16 21:54:24] Test accuracy: 0.6090
[2021-03-16 21:54:24] Score for 100 labels: 0.6090
[2021-03-16 21:54:24] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:54:24] Found 4900 unlabelled features.
[2021-03-16 21:54:24] Showing labelled: True (125/5000 visible)
[2021-03-16 21:54:24] Training mlp across 125 data points in blobs...
[2021-03-16 21:54:24] Training loss: 0.4561
[2021-03-16 21:54:24] Testing on 5000 data points...
[2021-03-16 21:54:24] Test accuracy: 0.6514
[2021-03-16 21:54:24] Score for 125 labels: 0.6514
[2021-03-16 21:54:24] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:54:24] Found 4875 unlabelled features.
[2021-03-16 21:54:25] Showing labelled: True (150/5000 visible)
[2021-03-16 21:54:25] Training mlp across 150 data points in blobs...
[2021-03-16 21:54:25] Training loss: 0.4272
[2021-03-16 21:54:25] Testing on 5000 data points...
[2021-03-16 21:54:25] Test accuracy: 0.7180
[2021-03-16 21:54:25] Score for 150 labels: 0.7180
[2021-03-16 21:54:25] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:54:25] Found 4850 unlabelled features.
[2021-03-16 21:54:25] Showing labelled: True (175/5000 visible)
[2021-03-16 21:54:25] Training mlp across 175 data points in blobs...
[2021-03-16 21:54:26] Training loss: 0.4061
[2021-03-16 21:54:26] Testing on 5000 data points...
[2021-03-16 21:54:26] Test accuracy: 0.7290
[2021-03-16 21:54:26] Score for 175 labels: 0.7290
[2021-03-16 21:54:26] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:54:26] Found 4825 unlabelled features.
[2021-03-16 21:54:26] Showing labelled: True (200/5000 visible)
[2021-03-16 21:54:26] Training mlp across 200 data points in blobs...
[2021-03-16 21:54:27] Training loss: 0.3637
[2021-03-16 21:54:27] Testing on 5000 data points...
[2021-03-16 21:54:27] Test accuracy: 0.7452
[2021-03-16 21:54:27] Score for 200 labels: 0.7452
[2021-03-16 21:54:27] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:54:27] Found 4800 unlabelled features.
[2021-03-16 21:54:27] Showing labelled: True (225/5000 visible)
[2021-03-16 21:54:27] Training mlp across 225 data points in blobs...
[2021-03-16 21:54:29] Training loss: 0.3513
[2021-03-16 21:54:29] Testing on 5000 data points...
[2021-03-16 21:54:29] Test accuracy: 0.7400
[2021-03-16 21:54:29] Score for 225 labels: 0.7400
[2021-03-16 21:54:29] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:54:29] Found 4775 unlabelled features.
[2021-03-16 21:54:29] Showing labelled: True (250/5000 visible)
[2021-03-16 21:54:29] Training mlp across 250 data points in blobs...
[2021-03-16 21:54:30] Training loss: 0.3551
[2021-03-16 21:54:30] Testing on 5000 data points...
[2021-03-16 21:54:30] Test accuracy: 0.7518
[2021-03-16 21:54:30] Score for 250 labels: 0.7518
[2021-03-16 21:54:30] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:54:30] Found 4750 unlabelled features.
[2021-03-16 21:54:30] Showing labelled: True (275/5000 visible)
[2021-03-16 21:54:30] Training mlp across 275 data points in blobs...
[2021-03-16 21:54:31] Training loss: 0.3365
[2021-03-16 21:54:31] Testing on 5000 data points...
[2021-03-16 21:54:31] Test accuracy: 0.7592
[2021-03-16 21:54:31] Score for 275 labels: 0.7592
[2021-03-16 21:54:31] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:54:31] Found 4725 unlabelled features.
[2021-03-16 21:54:31] Showing labelled: True (300/5000 visible)
[2021-03-16 21:54:31] Training mlp across 300 data points in blobs...
[2021-03-16 21:54:33] Training loss: 0.3317
[2021-03-16 21:54:33] Testing on 5000 data points...
[2021-03-16 21:54:33] Test accuracy: 0.7648
[2021-03-16 21:54:33] Score for 300 labels: 0.7648
[2021-03-16 21:54:33] Experiment repeat 5/5
[2021-03-16 21:54:33] Randomly labelled 50/5000
[2021-03-16 21:54:33] Showing labelled: True (50/5000 visible)
[2021-03-16 21:54:33] Running: experiment 0
[2021-03-16 21:54:33] Showing labelled: True (50/5000 visible)
[2021-03-16 21:54:33] mlp: initialized 1482 parameters.
[2021-03-16 21:54:33] Creating trainer with model on device: cuda
[2021-03-16 21:54:33] Training mlp across 50 data points in blobs...
[2021-03-16 21:54:33] Training loss: 1.2412
[2021-03-16 21:54:33] Testing on 5000 data points...
[2021-03-16 21:54:33] Test accuracy: 0.4884
[2021-03-16 21:54:33] Score for 50 labels: 0.4884
[2021-03-16 21:54:33] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:54:33] Found 4950 unlabelled features.
[2021-03-16 21:54:34] Showing labelled: True (75/5000 visible)
[2021-03-16 21:54:34] Training mlp across 75 data points in blobs...
[2021-03-16 21:54:34] Training loss: 0.8088
[2021-03-16 21:54:34] Testing on 5000 data points...
[2021-03-16 21:54:34] Test accuracy: 0.6332
[2021-03-16 21:54:34] Score for 75 labels: 0.6332
[2021-03-16 21:54:34] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:54:34] Found 4925 unlabelled features.
[2021-03-16 21:54:35] Showing labelled: True (100/5000 visible)
[2021-03-16 21:54:35] Training mlp across 100 data points in blobs...
[2021-03-16 21:54:35] Training loss: 0.6312
[2021-03-16 21:54:35] Testing on 5000 data points...
[2021-03-16 21:54:35] Test accuracy: 0.6816
[2021-03-16 21:54:35] Score for 100 labels: 0.6816
[2021-03-16 21:54:35] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:54:35] Found 4900 unlabelled features.
[2021-03-16 21:54:36] Showing labelled: True (125/5000 visible)
[2021-03-16 21:54:36] Training mlp across 125 data points in blobs...
[2021-03-16 21:54:36] Training loss: 0.4862
[2021-03-16 21:54:36] Testing on 5000 data points...
[2021-03-16 21:54:36] Test accuracy: 0.7590
[2021-03-16 21:54:36] Score for 125 labels: 0.7590
[2021-03-16 21:54:36] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:54:36] Found 4875 unlabelled features.
[2021-03-16 21:54:37] Showing labelled: True (150/5000 visible)
[2021-03-16 21:54:37] Training mlp across 150 data points in blobs...
[2021-03-16 21:54:38] Training loss: 0.3802
[2021-03-16 21:54:38] Testing on 5000 data points...
[2021-03-16 21:54:38] Test accuracy: 0.7764
[2021-03-16 21:54:38] Score for 150 labels: 0.7764
[2021-03-16 21:54:38] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:54:38] Found 4850 unlabelled features.
[2021-03-16 21:54:38] Showing labelled: True (175/5000 visible)
[2021-03-16 21:54:38] Training mlp across 175 data points in blobs...
[2021-03-16 21:54:39] Training loss: 0.3251
[2021-03-16 21:54:39] Testing on 5000 data points...
[2021-03-16 21:54:39] Test accuracy: 0.7820
[2021-03-16 21:54:39] Score for 175 labels: 0.7820
[2021-03-16 21:54:39] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:54:39] Found 4825 unlabelled features.
[2021-03-16 21:54:40] Showing labelled: True (200/5000 visible)
[2021-03-16 21:54:40] Training mlp across 200 data points in blobs...
[2021-03-16 21:54:41] Training loss: 0.2975
[2021-03-16 21:54:41] Testing on 5000 data points...
[2021-03-16 21:54:41] Test accuracy: 0.7848
[2021-03-16 21:54:41] Score for 200 labels: 0.7848
[2021-03-16 21:54:41] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:54:41] Found 4800 unlabelled features.
[2021-03-16 21:54:41] Showing labelled: True (225/5000 visible)
[2021-03-16 21:54:41] Training mlp across 225 data points in blobs...
[2021-03-16 21:54:42] Training loss: 0.2871
[2021-03-16 21:54:42] Testing on 5000 data points...
[2021-03-16 21:54:42] Test accuracy: 0.7804
[2021-03-16 21:54:42] Score for 225 labels: 0.7804
[2021-03-16 21:54:42] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:54:42] Found 4775 unlabelled features.
[2021-03-16 21:54:43] Showing labelled: True (250/5000 visible)
[2021-03-16 21:54:43] Training mlp across 250 data points in blobs...
[2021-03-16 21:54:44] Training loss: 0.2834
[2021-03-16 21:54:44] Testing on 5000 data points...
[2021-03-16 21:54:44] Test accuracy: 0.7948
[2021-03-16 21:54:44] Score for 250 labels: 0.7948
[2021-03-16 21:54:44] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:54:44] Found 4750 unlabelled features.
[2021-03-16 21:54:45] Showing labelled: True (275/5000 visible)
[2021-03-16 21:54:45] Training mlp across 275 data points in blobs...
[2021-03-16 21:54:46] Training loss: 0.2624
[2021-03-16 21:54:46] Testing on 5000 data points...
[2021-03-16 21:54:46] Test accuracy: 0.7882
[2021-03-16 21:54:46] Score for 275 labels: 0.7882
[2021-03-16 21:54:46] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:54:46] Found 4725 unlabelled features.
[2021-03-16 21:54:47] Showing labelled: True (300/5000 visible)
[2021-03-16 21:54:47] Training mlp across 300 data points in blobs...
[2021-03-16 21:54:48] Training loss: 0.2418
[2021-03-16 21:54:48] Testing on 5000 data points...
[2021-03-16 21:54:48] Test accuracy: 0.8000
[2021-03-16 21:54:48] Score for 300 labels: 0.8000
[2021-03-16 21:54:48] Running: experiment 1
[2021-03-16 21:54:48] Showing labelled: True (50/5000 visible)
[2021-03-16 21:54:48] mlp: initialized 1482 parameters.
[2021-03-16 21:54:48] Creating trainer with model on device: cuda
[2021-03-16 21:54:48] Training mlp across 50 data points in blobs...
[2021-03-16 21:54:49] Training loss: 1.3311
[2021-03-16 21:54:49] Testing on 5000 data points...
[2021-03-16 21:54:49] Test accuracy: 0.4802
[2021-03-16 21:54:49] Score for 50 labels: 0.4802
[2021-03-16 21:54:49] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:54:49] Found 4950 unlabelled features.
[2021-03-16 21:54:49] Showing labelled: True (75/5000 visible)
[2021-03-16 21:54:49] Training mlp across 75 data points in blobs...
[2021-03-16 21:54:49] Training loss: 0.8480
[2021-03-16 21:54:49] Testing on 5000 data points...
[2021-03-16 21:54:49] Test accuracy: 0.6244
[2021-03-16 21:54:49] Score for 75 labels: 0.6244
[2021-03-16 21:54:49] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:54:49] Found 4925 unlabelled features.
[2021-03-16 21:54:49] Showing labelled: True (100/5000 visible)
[2021-03-16 21:54:49] Training mlp across 100 data points in blobs...
[2021-03-16 21:54:50] Training loss: 0.6374
[2021-03-16 21:54:50] Testing on 5000 data points...
[2021-03-16 21:54:50] Test accuracy: 0.6910
[2021-03-16 21:54:50] Score for 100 labels: 0.6910
[2021-03-16 21:54:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:54:50] Found 4900 unlabelled features.
[2021-03-16 21:54:50] Showing labelled: True (125/5000 visible)
[2021-03-16 21:54:50] Training mlp across 125 data points in blobs...
[2021-03-16 21:54:51] Training loss: 0.5035
[2021-03-16 21:54:51] Testing on 5000 data points...
[2021-03-16 21:54:51] Test accuracy: 0.7442
[2021-03-16 21:54:51] Score for 125 labels: 0.7442
[2021-03-16 21:54:51] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:54:51] Found 4875 unlabelled features.
[2021-03-16 21:54:51] Showing labelled: True (150/5000 visible)
[2021-03-16 21:54:51] Training mlp across 150 data points in blobs...
[2021-03-16 21:54:52] Training loss: 0.3918
[2021-03-16 21:54:52] Testing on 5000 data points...
[2021-03-16 21:54:52] Test accuracy: 0.7580
[2021-03-16 21:54:52] Score for 150 labels: 0.7580
[2021-03-16 21:54:52] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:54:52] Found 4850 unlabelled features.
[2021-03-16 21:54:52] Showing labelled: True (175/5000 visible)
[2021-03-16 21:54:52] Training mlp across 175 data points in blobs...
[2021-03-16 21:54:53] Training loss: 0.3297
[2021-03-16 21:54:53] Testing on 5000 data points...
[2021-03-16 21:54:53] Test accuracy: 0.7454
[2021-03-16 21:54:53] Score for 175 labels: 0.7454
[2021-03-16 21:54:53] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:54:53] Found 4825 unlabelled features.
[2021-03-16 21:54:53] Showing labelled: True (200/5000 visible)
[2021-03-16 21:54:53] Training mlp across 200 data points in blobs...
[2021-03-16 21:54:54] Training loss: 0.3039
[2021-03-16 21:54:54] Testing on 5000 data points...
[2021-03-16 21:54:54] Test accuracy: 0.7766
[2021-03-16 21:54:54] Score for 200 labels: 0.7766
[2021-03-16 21:54:54] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:54:54] Found 4800 unlabelled features.
[2021-03-16 21:54:54] Showing labelled: True (225/5000 visible)
[2021-03-16 21:54:54] Training mlp across 225 data points in blobs...
[2021-03-16 21:54:55] Training loss: 0.3131
[2021-03-16 21:54:55] Testing on 5000 data points...
[2021-03-16 21:54:55] Test accuracy: 0.7770
[2021-03-16 21:54:55] Score for 225 labels: 0.7770
[2021-03-16 21:54:55] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:54:55] Found 4775 unlabelled features.
[2021-03-16 21:54:55] Showing labelled: True (250/5000 visible)
[2021-03-16 21:54:55] Training mlp across 250 data points in blobs...
[2021-03-16 21:54:57] Training loss: 0.3068
[2021-03-16 21:54:57] Testing on 5000 data points...
[2021-03-16 21:54:57] Test accuracy: 0.7700
[2021-03-16 21:54:57] Score for 250 labels: 0.7700
[2021-03-16 21:54:57] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:54:57] Found 4750 unlabelled features.
[2021-03-16 21:54:57] Showing labelled: True (275/5000 visible)
[2021-03-16 21:54:57] Training mlp across 275 data points in blobs...
[2021-03-16 21:54:58] Training loss: 0.2820
[2021-03-16 21:54:58] Testing on 5000 data points...
[2021-03-16 21:54:58] Test accuracy: 0.7782
[2021-03-16 21:54:58] Score for 275 labels: 0.7782
[2021-03-16 21:54:58] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:54:58] Found 4725 unlabelled features.
[2021-03-16 21:54:58] Showing labelled: True (300/5000 visible)
[2021-03-16 21:54:58] Training mlp across 300 data points in blobs...
[2021-03-16 21:55:00] Training loss: 0.2802
[2021-03-16 21:55:00] Testing on 5000 data points...
[2021-03-16 21:55:00] Test accuracy: 0.7780
[2021-03-16 21:55:00] Score for 300 labels: 0.7780
[2021-03-16 21:55:00] Running: experiment 2
[2021-03-16 21:55:00] Showing labelled: True (50/5000 visible)
[2021-03-16 21:55:00] mlp: initialized 1482 parameters.
[2021-03-16 21:55:00] Creating trainer with model on device: cuda
[2021-03-16 21:55:00] Training mlp across 50 data points in blobs...
[2021-03-16 21:55:00] Training loss: 1.3814
[2021-03-16 21:55:00] Testing on 5000 data points...
[2021-03-16 21:55:00] Test accuracy: 0.4742
[2021-03-16 21:55:00] Score for 50 labels: 0.4742
[2021-03-16 21:55:00] Showing labelled: False (4950/5000 visible)
[2021-03-16 21:55:00] Found 4950 unlabelled features.
[2021-03-16 21:55:00] Showing labelled: True (75/5000 visible)
[2021-03-16 21:55:00] Training mlp across 75 data points in blobs...
[2021-03-16 21:55:01] Training loss: 0.6562
[2021-03-16 21:55:01] Testing on 5000 data points...
[2021-03-16 21:55:01] Test accuracy: 0.5258
[2021-03-16 21:55:01] Score for 75 labels: 0.5258
[2021-03-16 21:55:01] Showing labelled: False (4925/5000 visible)
[2021-03-16 21:55:01] Found 4925 unlabelled features.
[2021-03-16 21:55:01] Showing labelled: True (100/5000 visible)
[2021-03-16 21:55:01] Training mlp across 100 data points in blobs...
[2021-03-16 21:55:01] Training loss: 0.6444
[2021-03-16 21:55:01] Testing on 5000 data points...
[2021-03-16 21:55:01] Test accuracy: 0.5596
[2021-03-16 21:55:01] Score for 100 labels: 0.5596
[2021-03-16 21:55:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 21:55:01] Found 4900 unlabelled features.
[2021-03-16 21:55:01] Showing labelled: True (125/5000 visible)
[2021-03-16 21:55:01] Training mlp across 125 data points in blobs...
[2021-03-16 21:55:02] Training loss: 0.5652
[2021-03-16 21:55:02] Testing on 5000 data points...
[2021-03-16 21:55:02] Test accuracy: 0.6644
[2021-03-16 21:55:02] Score for 125 labels: 0.6644
[2021-03-16 21:55:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 21:55:02] Found 4875 unlabelled features.
[2021-03-16 21:55:02] Showing labelled: True (150/5000 visible)
[2021-03-16 21:55:02] Training mlp across 150 data points in blobs...
[2021-03-16 21:55:03] Training loss: 0.4813
[2021-03-16 21:55:03] Testing on 5000 data points...
[2021-03-16 21:55:03] Test accuracy: 0.6948
[2021-03-16 21:55:03] Score for 150 labels: 0.6948
[2021-03-16 21:55:03] Showing labelled: False (4850/5000 visible)
[2021-03-16 21:55:03] Found 4850 unlabelled features.
[2021-03-16 21:55:03] Showing labelled: True (175/5000 visible)
[2021-03-16 21:55:03] Training mlp across 175 data points in blobs...
[2021-03-16 21:55:04] Training loss: 0.3917
[2021-03-16 21:55:04] Testing on 5000 data points...
[2021-03-16 21:55:04] Test accuracy: 0.7536
[2021-03-16 21:55:04] Score for 175 labels: 0.7536
[2021-03-16 21:55:04] Showing labelled: False (4825/5000 visible)
[2021-03-16 21:55:04] Found 4825 unlabelled features.
[2021-03-16 21:55:04] Showing labelled: True (200/5000 visible)
[2021-03-16 21:55:04] Training mlp across 200 data points in blobs...
[2021-03-16 21:55:05] Training loss: 0.3549
[2021-03-16 21:55:05] Testing on 5000 data points...
[2021-03-16 21:55:05] Test accuracy: 0.7416
[2021-03-16 21:55:05] Score for 200 labels: 0.7416
[2021-03-16 21:55:05] Showing labelled: False (4800/5000 visible)
[2021-03-16 21:55:05] Found 4800 unlabelled features.
[2021-03-16 21:55:05] Showing labelled: True (225/5000 visible)
[2021-03-16 21:55:05] Training mlp across 225 data points in blobs...
[2021-03-16 21:55:06] Training loss: 0.3393
[2021-03-16 21:55:06] Testing on 5000 data points...
[2021-03-16 21:55:06] Test accuracy: 0.7236
[2021-03-16 21:55:06] Score for 225 labels: 0.7236
[2021-03-16 21:55:06] Showing labelled: False (4775/5000 visible)
[2021-03-16 21:55:06] Found 4775 unlabelled features.
[2021-03-16 21:55:06] Showing labelled: True (250/5000 visible)
[2021-03-16 21:55:06] Training mlp across 250 data points in blobs...
[2021-03-16 21:55:07] Training loss: 0.3259
[2021-03-16 21:55:07] Testing on 5000 data points...
[2021-03-16 21:55:07] Test accuracy: 0.7480
[2021-03-16 21:55:07] Score for 250 labels: 0.7480
[2021-03-16 21:55:07] Showing labelled: False (4750/5000 visible)
[2021-03-16 21:55:07] Found 4750 unlabelled features.
[2021-03-16 21:55:07] Showing labelled: True (275/5000 visible)
[2021-03-16 21:55:07] Training mlp across 275 data points in blobs...
[2021-03-16 21:55:09] Training loss: 0.3357
[2021-03-16 21:55:09] Testing on 5000 data points...
[2021-03-16 21:55:09] Test accuracy: 0.7428
[2021-03-16 21:55:09] Score for 275 labels: 0.7428
[2021-03-16 21:55:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 21:55:09] Found 4725 unlabelled features.
[2021-03-16 21:55:09] Showing labelled: True (300/5000 visible)
[2021-03-16 21:55:09] Training mlp across 300 data points in blobs...
[2021-03-16 21:55:10] Training loss: 0.3234
[2021-03-16 21:55:10] Testing on 5000 data points...
[2021-03-16 21:55:10] Test accuracy: 0.7510
[2021-03-16 21:55:10] Score for 300 labels: 0.7510
[2021-03-16 21:55:10] Updated results: ../results/blobs/lc_beam_coreset/results.json
