[2021-03-20 01:05:53] Created experiment 0:
[2021-03-20 01:05:53]  - Model: mlp
[2021-03-20 01:05:53]  - Acquisition function: random
[2021-03-20 01:05:53] Created experiment 1:
[2021-03-20 01:05:53]  - Model: mlp
[2021-03-20 01:05:53]  - Acquisition function: least-confidence
[2021-03-20 01:05:53] Created experiment 2:
[2021-03-20 01:05:53]  - Model: mlp
[2021-03-20 01:05:53]  - Acquisition function: lc-beam-coreset
[2021-03-20 01:05:53] Created experiment 3:
[2021-03-20 01:05:53]  - Model: mlp
[2021-03-20 01:05:53]  - Acquisition function: greedy-coreset
[2021-03-20 01:05:53] Loading blobs test set...
[2021-03-20 01:05:53] Generated 5000 blobs:
[2021-03-20 01:05:53] Class 0: 200
[2021-03-20 01:05:53] Class 1: 300
[2021-03-20 01:05:53] Class 2: 1000
[2021-03-20 01:05:53] Class 3: 100
[2021-03-20 01:05:53] Class 4: 50
[2021-03-20 01:05:53] Class 5: 200
[2021-03-20 01:05:53] Class 6: 400
[2021-03-20 01:05:53] Class 7: 1800
[2021-03-20 01:05:53] Class 8: 50
[2021-03-20 01:05:53] Class 9: 900
[2021-03-20 01:05:54] Saved figure to: ../data/blobs_data.png
[2021-03-20 01:05:54] Generated 5000 test points.
[2021-03-20 01:05:54] Saved figure to: ../data/blobs_test.png
[2021-03-20 01:05:54] Experiment repeat 1/3
[2021-03-20 01:05:54] Seeded: 5
[2021-03-20 01:05:54] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:05:54] Randomly labelled 50/5000
[2021-03-20 01:05:54] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:05:54] Seeded: 6
[2021-03-20 01:05:54] Running: experiment 0
[2021-03-20 01:05:54] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:05:54] Reset parameters according to He et al.
[2021-03-20 01:05:54] mlp: initialized 18186 parameters.
[2021-03-20 01:05:54] Creating trainer with model on device: cuda
[2021-03-20 01:05:58] Training mlp across 50 data points in blobs...
[2021-03-20 01:05:59] Training accuracy: 0.7183
[2021-03-20 01:05:59] Testing on 5000 data points...
[2021-03-20 01:05:59] Test score for 50 training labels: 0.4940
[2021-03-20 01:05:59] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:05:59] Found 5000 unlabelled features.
[2021-03-20 01:05:59] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:05:59] Reset parameters according to He et al.
[2021-03-20 01:05:59] mlp: initialized 18186 parameters.
[2021-03-20 01:05:59] Creating trainer with model on device: cuda
[2021-03-20 01:05:59] Training mlp across 100 data points in blobs...
[2021-03-20 01:06:00] Training accuracy: 0.8116
[2021-03-20 01:06:00] Testing on 5000 data points...
[2021-03-20 01:06:00] Test score for 100 training labels: 0.6726
[2021-03-20 01:06:00] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:00] Found 5000 unlabelled features.
[2021-03-20 01:06:00] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:06:00] Reset parameters according to He et al.
[2021-03-20 01:06:00] mlp: initialized 18186 parameters.
[2021-03-20 01:06:00] Creating trainer with model on device: cuda
[2021-03-20 01:06:00] Training mlp across 150 data points in blobs...
[2021-03-20 01:06:02] Training accuracy: 0.7909
[2021-03-20 01:06:02] Testing on 5000 data points...
[2021-03-20 01:06:02] Test score for 150 training labels: 0.6814
[2021-03-20 01:06:02] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:02] Found 5000 unlabelled features.
[2021-03-20 01:06:02] Showing labelled: True (197/5000 visible, 3 redundant)
[2021-03-20 01:06:02] Reset parameters according to He et al.
[2021-03-20 01:06:02] mlp: initialized 18186 parameters.
[2021-03-20 01:06:02] Creating trainer with model on device: cuda
[2021-03-20 01:06:02] Training mlp across 200 data points in blobs...
[2021-03-20 01:06:05] Training accuracy: 0.7861
[2021-03-20 01:06:05] Testing on 5000 data points...
[2021-03-20 01:06:05] Test score for 200 training labels: 0.7472
[2021-03-20 01:06:05] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:05] Found 5000 unlabelled features.
[2021-03-20 01:06:05] Showing labelled: True (245/5000 visible, 5 redundant)
[2021-03-20 01:06:05] Reset parameters according to He et al.
[2021-03-20 01:06:05] mlp: initialized 18186 parameters.
[2021-03-20 01:06:05] Creating trainer with model on device: cuda
[2021-03-20 01:06:05] Training mlp across 250 data points in blobs...
[2021-03-20 01:06:08] Training accuracy: 0.8001
[2021-03-20 01:06:08] Testing on 5000 data points...
[2021-03-20 01:06:08] Test score for 250 training labels: 0.7726
[2021-03-20 01:06:08] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:08] Found 5000 unlabelled features.
[2021-03-20 01:06:08] Showing labelled: True (289/5000 visible, 11 redundant)
[2021-03-20 01:06:08] Reset parameters according to He et al.
[2021-03-20 01:06:08] mlp: initialized 18186 parameters.
[2021-03-20 01:06:08] Creating trainer with model on device: cuda
[2021-03-20 01:06:08] Training mlp across 300 data points in blobs...
[2021-03-20 01:06:11] Training accuracy: 0.8222
[2021-03-20 01:06:11] Testing on 5000 data points...
[2021-03-20 01:06:11] Test score for 300 training labels: 0.7642
[2021-03-20 01:06:11] Seeded: 6
[2021-03-20 01:06:11] Running: experiment 1
[2021-03-20 01:06:11] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:06:11] Reset parameters according to He et al.
[2021-03-20 01:06:11] mlp: initialized 18186 parameters.
[2021-03-20 01:06:11] Creating trainer with model on device: cuda
[2021-03-20 01:06:11] Training mlp across 50 data points in blobs...
[2021-03-20 01:06:12] Training accuracy: 0.7183
[2021-03-20 01:06:12] Testing on 5000 data points...
[2021-03-20 01:06:12] Test score for 50 training labels: 0.4940
[2021-03-20 01:06:12] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:12] Found 5000 unlabelled features.
[2021-03-20 01:06:12] Showing labelled: True (98/5000 visible, 2 redundant)
[2021-03-20 01:06:12] Reset parameters according to He et al.
[2021-03-20 01:06:12] mlp: initialized 18186 parameters.
[2021-03-20 01:06:12] Creating trainer with model on device: cuda
[2021-03-20 01:06:12] Training mlp across 100 data points in blobs...
[2021-03-20 01:06:13] Training accuracy: 0.8209
[2021-03-20 01:06:13] Testing on 5000 data points...
[2021-03-20 01:06:13] Test score for 100 training labels: 0.4834
[2021-03-20 01:06:13] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:13] Found 5000 unlabelled features.
[2021-03-20 01:06:13] Showing labelled: True (146/5000 visible, 4 redundant)
[2021-03-20 01:06:13] Reset parameters according to He et al.
[2021-03-20 01:06:13] mlp: initialized 18186 parameters.
[2021-03-20 01:06:13] Creating trainer with model on device: cuda
[2021-03-20 01:06:13] Training mlp across 150 data points in blobs...
[2021-03-20 01:06:15] Training accuracy: 0.7744
[2021-03-20 01:06:15] Testing on 5000 data points...
[2021-03-20 01:06:15] Test score for 150 training labels: 0.6048
[2021-03-20 01:06:15] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:15] Found 5000 unlabelled features.
[2021-03-20 01:06:15] Showing labelled: True (195/5000 visible, 5 redundant)
[2021-03-20 01:06:15] Reset parameters according to He et al.
[2021-03-20 01:06:15] mlp: initialized 18186 parameters.
[2021-03-20 01:06:15] Creating trainer with model on device: cuda
[2021-03-20 01:06:15] Training mlp across 200 data points in blobs...
[2021-03-20 01:06:17] Training accuracy: 0.7560
[2021-03-20 01:06:17] Testing on 5000 data points...
[2021-03-20 01:06:17] Test score for 200 training labels: 0.5952
[2021-03-20 01:06:17] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:17] Found 5000 unlabelled features.
[2021-03-20 01:06:17] Showing labelled: True (241/5000 visible, 9 redundant)
[2021-03-20 01:06:17] Reset parameters according to He et al.
[2021-03-20 01:06:17] mlp: initialized 18186 parameters.
[2021-03-20 01:06:17] Creating trainer with model on device: cuda
[2021-03-20 01:06:17] Training mlp across 250 data points in blobs...
[2021-03-20 01:06:20] Training accuracy: 0.7011
[2021-03-20 01:06:20] Testing on 5000 data points...
[2021-03-20 01:06:20] Test score for 250 training labels: 0.5976
[2021-03-20 01:06:20] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:20] Found 5000 unlabelled features.
[2021-03-20 01:06:20] Showing labelled: True (263/5000 visible, 37 redundant)
[2021-03-20 01:06:20] Reset parameters according to He et al.
[2021-03-20 01:06:20] mlp: initialized 18186 parameters.
[2021-03-20 01:06:20] Creating trainer with model on device: cuda
[2021-03-20 01:06:20] Training mlp across 300 data points in blobs...
[2021-03-20 01:06:24] Training accuracy: 0.6418
[2021-03-20 01:06:24] Testing on 5000 data points...
[2021-03-20 01:06:24] Test score for 300 training labels: 0.5778
[2021-03-20 01:06:24] Seeded: 6
[2021-03-20 01:06:24] Running: experiment 2
[2021-03-20 01:06:24] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:06:24] Reset parameters according to He et al.
[2021-03-20 01:06:24] mlp: initialized 18186 parameters.
[2021-03-20 01:06:24] Creating trainer with model on device: cuda
[2021-03-20 01:06:24] Training mlp across 50 data points in blobs...
[2021-03-20 01:06:24] Training accuracy: 0.7183
[2021-03-20 01:06:24] Testing on 5000 data points...
[2021-03-20 01:06:24] Test score for 50 training labels: 0.4940
[2021-03-20 01:06:24] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:24] Found 5000 unlabelled features.
[2021-03-20 01:06:24] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:25] Searching for coresets with 20 beams...
[2021-03-20 01:06:25] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:06:25] Reset parameters according to He et al.
[2021-03-20 01:06:25] mlp: initialized 18186 parameters.
[2021-03-20 01:06:25] Creating trainer with model on device: cuda
[2021-03-20 01:06:25] Training mlp across 100 data points in blobs...
[2021-03-20 01:06:26] Training accuracy: 0.6789
[2021-03-20 01:06:26] Testing on 5000 data points...
[2021-03-20 01:06:26] Test score for 100 training labels: 0.7852
[2021-03-20 01:06:26] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:26] Found 5000 unlabelled features.
[2021-03-20 01:06:26] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:26] Searching for coresets with 20 beams...
[2021-03-20 01:06:26] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:06:26] Reset parameters according to He et al.
[2021-03-20 01:06:26] mlp: initialized 18186 parameters.
[2021-03-20 01:06:26] Creating trainer with model on device: cuda
[2021-03-20 01:06:26] Training mlp across 150 data points in blobs...
[2021-03-20 01:06:28] Training accuracy: 0.7214
[2021-03-20 01:06:28] Testing on 5000 data points...
[2021-03-20 01:06:28] Test score for 150 training labels: 0.8020
[2021-03-20 01:06:28] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:28] Found 5000 unlabelled features.
[2021-03-20 01:06:28] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:28] Searching for coresets with 20 beams...
[2021-03-20 01:06:28] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:06:28] Reset parameters according to He et al.
[2021-03-20 01:06:28] mlp: initialized 18186 parameters.
[2021-03-20 01:06:28] Creating trainer with model on device: cuda
[2021-03-20 01:06:28] Training mlp across 200 data points in blobs...
[2021-03-20 01:06:31] Training accuracy: 0.7246
[2021-03-20 01:06:31] Testing on 5000 data points...
[2021-03-20 01:06:31] Test score for 200 training labels: 0.8118
[2021-03-20 01:06:31] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:31] Found 5000 unlabelled features.
[2021-03-20 01:06:31] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:31] Searching for coresets with 20 beams...
[2021-03-20 01:06:31] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:06:31] Reset parameters according to He et al.
[2021-03-20 01:06:31] mlp: initialized 18186 parameters.
[2021-03-20 01:06:31] Creating trainer with model on device: cuda
[2021-03-20 01:06:31] Training mlp across 250 data points in blobs...
[2021-03-20 01:06:34] Training accuracy: 0.7354
[2021-03-20 01:06:34] Testing on 5000 data points...
[2021-03-20 01:06:34] Test score for 250 training labels: 0.8150
[2021-03-20 01:06:34] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:34] Found 5000 unlabelled features.
[2021-03-20 01:06:34] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:34] Searching for coresets with 20 beams...
[2021-03-20 01:06:34] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:06:34] Reset parameters according to He et al.
[2021-03-20 01:06:34] mlp: initialized 18186 parameters.
[2021-03-20 01:06:34] Creating trainer with model on device: cuda
[2021-03-20 01:06:34] Training mlp across 300 data points in blobs...
[2021-03-20 01:06:37] Training accuracy: 0.7485
[2021-03-20 01:06:37] Testing on 5000 data points...
[2021-03-20 01:06:37] Test score for 300 training labels: 0.8186
[2021-03-20 01:06:37] Seeded: 6
[2021-03-20 01:06:37] Running: experiment 3
[2021-03-20 01:06:37] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:06:37] Reset parameters according to He et al.
[2021-03-20 01:06:37] mlp: initialized 18186 parameters.
[2021-03-20 01:06:37] Creating trainer with model on device: cuda
[2021-03-20 01:06:37] Training mlp across 50 data points in blobs...
[2021-03-20 01:06:38] Training accuracy: 0.7183
[2021-03-20 01:06:38] Testing on 5000 data points...
[2021-03-20 01:06:38] Test score for 50 training labels: 0.4940
[2021-03-20 01:06:38] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:38] Found 5000 unlabelled features.
[2021-03-20 01:06:38] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:38] Searching for coresets greedily...
[2021-03-20 01:06:38] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:06:38] Reset parameters according to He et al.
[2021-03-20 01:06:38] mlp: initialized 18186 parameters.
[2021-03-20 01:06:38] Creating trainer with model on device: cuda
[2021-03-20 01:06:38] Training mlp across 100 data points in blobs...
[2021-03-20 01:06:40] Training accuracy: 0.6926
[2021-03-20 01:06:40] Testing on 5000 data points...
[2021-03-20 01:06:40] Test score for 100 training labels: 0.7912
[2021-03-20 01:06:40] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:40] Found 5000 unlabelled features.
[2021-03-20 01:06:40] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:40] Searching for coresets greedily...
[2021-03-20 01:06:40] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:06:40] Reset parameters according to He et al.
[2021-03-20 01:06:40] mlp: initialized 18186 parameters.
[2021-03-20 01:06:40] Creating trainer with model on device: cuda
[2021-03-20 01:06:40] Training mlp across 150 data points in blobs...
[2021-03-20 01:06:41] Training accuracy: 0.7313
[2021-03-20 01:06:41] Testing on 5000 data points...
[2021-03-20 01:06:41] Test score for 150 training labels: 0.8036
[2021-03-20 01:06:41] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:41] Found 5000 unlabelled features.
[2021-03-20 01:06:42] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:42] Searching for coresets greedily...
[2021-03-20 01:06:42] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:06:42] Reset parameters according to He et al.
[2021-03-20 01:06:42] mlp: initialized 18186 parameters.
[2021-03-20 01:06:42] Creating trainer with model on device: cuda
[2021-03-20 01:06:42] Training mlp across 200 data points in blobs...
[2021-03-20 01:06:44] Training accuracy: 0.7458
[2021-03-20 01:06:44] Testing on 5000 data points...
[2021-03-20 01:06:44] Test score for 200 training labels: 0.8196
[2021-03-20 01:06:44] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:44] Found 5000 unlabelled features.
[2021-03-20 01:06:44] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:44] Searching for coresets greedily...
[2021-03-20 01:06:44] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:06:44] Reset parameters according to He et al.
[2021-03-20 01:06:44] mlp: initialized 18186 parameters.
[2021-03-20 01:06:44] Creating trainer with model on device: cuda
[2021-03-20 01:06:44] Training mlp across 250 data points in blobs...
[2021-03-20 01:06:47] Training accuracy: 0.7444
[2021-03-20 01:06:47] Testing on 5000 data points...
[2021-03-20 01:06:47] Test score for 250 training labels: 0.8088
[2021-03-20 01:06:47] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:47] Found 5000 unlabelled features.
[2021-03-20 01:06:47] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:06:47] Searching for coresets greedily...
[2021-03-20 01:06:47] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:06:47] Reset parameters according to He et al.
[2021-03-20 01:06:47] mlp: initialized 18186 parameters.
[2021-03-20 01:06:47] Creating trainer with model on device: cuda
[2021-03-20 01:06:47] Training mlp across 300 data points in blobs...
[2021-03-20 01:06:51] Training accuracy: 0.7536
[2021-03-20 01:06:51] Testing on 5000 data points...
[2021-03-20 01:06:51] Test score for 300 training labels: 0.8124
[2021-03-20 01:06:51] Experiment repeat 2/3
[2021-03-20 01:06:51] Seeded: 6
[2021-03-20 01:06:51] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:06:51] Randomly labelled 50/5000
[2021-03-20 01:06:51] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:06:51] Seeded: 7
[2021-03-20 01:06:51] Running: experiment 0
[2021-03-20 01:06:51] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:06:51] Reset parameters according to He et al.
[2021-03-20 01:06:51] mlp: initialized 18186 parameters.
[2021-03-20 01:06:51] Creating trainer with model on device: cuda
[2021-03-20 01:06:51] Training mlp across 50 data points in blobs...
[2021-03-20 01:06:51] Training accuracy: 0.7567
[2021-03-20 01:06:51] Testing on 5000 data points...
[2021-03-20 01:06:51] Test score for 50 training labels: 0.5286
[2021-03-20 01:06:51] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:51] Found 5000 unlabelled features.
[2021-03-20 01:06:51] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:06:51] Reset parameters according to He et al.
[2021-03-20 01:06:51] mlp: initialized 18186 parameters.
[2021-03-20 01:06:51] Creating trainer with model on device: cuda
[2021-03-20 01:06:51] Training mlp across 100 data points in blobs...
[2021-03-20 01:06:52] Training accuracy: 0.8304
[2021-03-20 01:06:52] Testing on 5000 data points...
[2021-03-20 01:06:52] Test score for 100 training labels: 0.5598
[2021-03-20 01:06:52] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:52] Found 5000 unlabelled features.
[2021-03-20 01:06:52] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:06:52] Reset parameters according to He et al.
[2021-03-20 01:06:52] mlp: initialized 18186 parameters.
[2021-03-20 01:06:52] Creating trainer with model on device: cuda
[2021-03-20 01:06:52] Training mlp across 150 data points in blobs...
[2021-03-20 01:06:54] Training accuracy: 0.8609
[2021-03-20 01:06:54] Testing on 5000 data points...
[2021-03-20 01:06:54] Test score for 150 training labels: 0.6036
[2021-03-20 01:06:54] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:54] Found 5000 unlabelled features.
[2021-03-20 01:06:54] Showing labelled: True (199/5000 visible, 1 redundant)
[2021-03-20 01:06:54] Reset parameters according to He et al.
[2021-03-20 01:06:54] mlp: initialized 18186 parameters.
[2021-03-20 01:06:54] Creating trainer with model on device: cuda
[2021-03-20 01:06:54] Training mlp across 200 data points in blobs...
[2021-03-20 01:06:57] Training accuracy: 0.8592
[2021-03-20 01:06:57] Testing on 5000 data points...
[2021-03-20 01:06:57] Test score for 200 training labels: 0.6118
[2021-03-20 01:06:57] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:06:57] Found 5000 unlabelled features.
[2021-03-20 01:06:57] Showing labelled: True (246/5000 visible, 4 redundant)
[2021-03-20 01:06:57] Reset parameters according to He et al.
[2021-03-20 01:06:57] mlp: initialized 18186 parameters.
[2021-03-20 01:06:57] Creating trainer with model on device: cuda
[2021-03-20 01:06:57] Training mlp across 250 data points in blobs...
[2021-03-20 01:07:00] Training accuracy: 0.8547
[2021-03-20 01:07:00] Testing on 5000 data points...
[2021-03-20 01:07:00] Test score for 250 training labels: 0.7634
[2021-03-20 01:07:00] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:00] Found 5000 unlabelled features.
[2021-03-20 01:07:00] Showing labelled: True (293/5000 visible, 7 redundant)
[2021-03-20 01:07:00] Reset parameters according to He et al.
[2021-03-20 01:07:00] mlp: initialized 18186 parameters.
[2021-03-20 01:07:00] Creating trainer with model on device: cuda
[2021-03-20 01:07:00] Training mlp across 300 data points in blobs...
[2021-03-20 01:07:03] Training accuracy: 0.8760
[2021-03-20 01:07:03] Testing on 5000 data points...
[2021-03-20 01:07:03] Test score for 300 training labels: 0.7628
[2021-03-20 01:07:03] Seeded: 7
[2021-03-20 01:07:03] Running: experiment 1
[2021-03-20 01:07:03] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:03] Reset parameters according to He et al.
[2021-03-20 01:07:03] mlp: initialized 18186 parameters.
[2021-03-20 01:07:03] Creating trainer with model on device: cuda
[2021-03-20 01:07:03] Training mlp across 50 data points in blobs...
[2021-03-20 01:07:04] Training accuracy: 0.7567
[2021-03-20 01:07:04] Testing on 5000 data points...
[2021-03-20 01:07:04] Test score for 50 training labels: 0.5286
[2021-03-20 01:07:04] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:04] Found 5000 unlabelled features.
[2021-03-20 01:07:04] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:07:04] Reset parameters according to He et al.
[2021-03-20 01:07:04] mlp: initialized 18186 parameters.
[2021-03-20 01:07:04] Creating trainer with model on device: cuda
[2021-03-20 01:07:04] Training mlp across 100 data points in blobs...
[2021-03-20 01:07:05] Training accuracy: 0.9130
[2021-03-20 01:07:05] Testing on 5000 data points...
[2021-03-20 01:07:05] Test score for 100 training labels: 0.5854
[2021-03-20 01:07:05] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:05] Found 5000 unlabelled features.
[2021-03-20 01:07:05] Showing labelled: True (147/5000 visible, 3 redundant)
[2021-03-20 01:07:05] Reset parameters according to He et al.
[2021-03-20 01:07:05] mlp: initialized 18186 parameters.
[2021-03-20 01:07:05] Creating trainer with model on device: cuda
[2021-03-20 01:07:05] Training mlp across 150 data points in blobs...
[2021-03-20 01:07:07] Training accuracy: 0.8188
[2021-03-20 01:07:07] Testing on 5000 data points...
[2021-03-20 01:07:07] Test score for 150 training labels: 0.6026
[2021-03-20 01:07:07] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:07] Found 5000 unlabelled features.
[2021-03-20 01:07:07] Showing labelled: True (189/5000 visible, 11 redundant)
[2021-03-20 01:07:07] Reset parameters according to He et al.
[2021-03-20 01:07:07] mlp: initialized 18186 parameters.
[2021-03-20 01:07:07] Creating trainer with model on device: cuda
[2021-03-20 01:07:07] Training mlp across 200 data points in blobs...
[2021-03-20 01:07:10] Training accuracy: 0.7608
[2021-03-20 01:07:10] Testing on 5000 data points...
[2021-03-20 01:07:10] Test score for 200 training labels: 0.6016
[2021-03-20 01:07:10] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:10] Found 5000 unlabelled features.
[2021-03-20 01:07:10] Showing labelled: True (217/5000 visible, 33 redundant)
[2021-03-20 01:07:10] Reset parameters according to He et al.
[2021-03-20 01:07:10] mlp: initialized 18186 parameters.
[2021-03-20 01:07:10] Creating trainer with model on device: cuda
[2021-03-20 01:07:10] Training mlp across 250 data points in blobs...
[2021-03-20 01:07:13] Training accuracy: 0.7352
[2021-03-20 01:07:13] Testing on 5000 data points...
[2021-03-20 01:07:13] Test score for 250 training labels: 0.5782
[2021-03-20 01:07:13] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:13] Found 5000 unlabelled features.
[2021-03-20 01:07:13] Showing labelled: True (248/5000 visible, 52 redundant)
[2021-03-20 01:07:13] Reset parameters according to He et al.
[2021-03-20 01:07:13] mlp: initialized 18186 parameters.
[2021-03-20 01:07:13] Creating trainer with model on device: cuda
[2021-03-20 01:07:13] Training mlp across 300 data points in blobs...
[2021-03-20 01:07:16] Training accuracy: 0.6789
[2021-03-20 01:07:16] Testing on 5000 data points...
[2021-03-20 01:07:16] Test score for 300 training labels: 0.5568
[2021-03-20 01:07:16] Seeded: 7
[2021-03-20 01:07:16] Running: experiment 2
[2021-03-20 01:07:16] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:16] Reset parameters according to He et al.
[2021-03-20 01:07:16] mlp: initialized 18186 parameters.
[2021-03-20 01:07:16] Creating trainer with model on device: cuda
[2021-03-20 01:07:16] Training mlp across 50 data points in blobs...
[2021-03-20 01:07:17] Training accuracy: 0.7567
[2021-03-20 01:07:17] Testing on 5000 data points...
[2021-03-20 01:07:17] Test score for 50 training labels: 0.5286
[2021-03-20 01:07:17] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:17] Found 5000 unlabelled features.
[2021-03-20 01:07:17] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:17] Searching for coresets with 20 beams...
[2021-03-20 01:07:17] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:07:17] Reset parameters according to He et al.
[2021-03-20 01:07:17] mlp: initialized 18186 parameters.
[2021-03-20 01:07:17] Creating trainer with model on device: cuda
[2021-03-20 01:07:17] Training mlp across 100 data points in blobs...
[2021-03-20 01:07:18] Training accuracy: 0.6959
[2021-03-20 01:07:18] Testing on 5000 data points...
[2021-03-20 01:07:18] Test score for 100 training labels: 0.7232
[2021-03-20 01:07:18] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:18] Found 5000 unlabelled features.
[2021-03-20 01:07:18] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:18] Searching for coresets with 20 beams...
[2021-03-20 01:07:19] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:07:19] Reset parameters according to He et al.
[2021-03-20 01:07:19] mlp: initialized 18186 parameters.
[2021-03-20 01:07:19] Creating trainer with model on device: cuda
[2021-03-20 01:07:19] Training mlp across 150 data points in blobs...
[2021-03-20 01:07:20] Training accuracy: 0.7154
[2021-03-20 01:07:20] Testing on 5000 data points...
[2021-03-20 01:07:20] Test score for 150 training labels: 0.7888
[2021-03-20 01:07:20] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:20] Found 5000 unlabelled features.
[2021-03-20 01:07:20] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:21] Searching for coresets with 20 beams...
[2021-03-20 01:07:21] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:07:21] Reset parameters according to He et al.
[2021-03-20 01:07:21] mlp: initialized 18186 parameters.
[2021-03-20 01:07:21] Creating trainer with model on device: cuda
[2021-03-20 01:07:21] Training mlp across 200 data points in blobs...
[2021-03-20 01:07:23] Training accuracy: 0.7067
[2021-03-20 01:07:23] Testing on 5000 data points...
[2021-03-20 01:07:23] Test score for 200 training labels: 0.7884
[2021-03-20 01:07:23] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:23] Found 5000 unlabelled features.
[2021-03-20 01:07:23] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:23] Searching for coresets with 20 beams...
[2021-03-20 01:07:23] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:07:23] Reset parameters according to He et al.
[2021-03-20 01:07:23] mlp: initialized 18186 parameters.
[2021-03-20 01:07:23] Creating trainer with model on device: cuda
[2021-03-20 01:07:23] Training mlp across 250 data points in blobs...
[2021-03-20 01:07:27] Training accuracy: 0.7357
[2021-03-20 01:07:27] Testing on 5000 data points...
[2021-03-20 01:07:27] Test score for 250 training labels: 0.7958
[2021-03-20 01:07:27] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:27] Found 5000 unlabelled features.
[2021-03-20 01:07:27] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:27] Searching for coresets with 20 beams...
[2021-03-20 01:07:27] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:07:27] Reset parameters according to He et al.
[2021-03-20 01:07:27] mlp: initialized 18186 parameters.
[2021-03-20 01:07:27] Creating trainer with model on device: cuda
[2021-03-20 01:07:27] Training mlp across 300 data points in blobs...
[2021-03-20 01:07:31] Training accuracy: 0.7605
[2021-03-20 01:07:31] Testing on 5000 data points...
[2021-03-20 01:07:31] Test score for 300 training labels: 0.8130
[2021-03-20 01:07:31] Seeded: 7
[2021-03-20 01:07:31] Running: experiment 3
[2021-03-20 01:07:31] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:31] Reset parameters according to He et al.
[2021-03-20 01:07:31] mlp: initialized 18186 parameters.
[2021-03-20 01:07:31] Creating trainer with model on device: cuda
[2021-03-20 01:07:31] Training mlp across 50 data points in blobs...
[2021-03-20 01:07:31] Training accuracy: 0.7567
[2021-03-20 01:07:31] Testing on 5000 data points...
[2021-03-20 01:07:31] Test score for 50 training labels: 0.5286
[2021-03-20 01:07:31] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:31] Found 5000 unlabelled features.
[2021-03-20 01:07:31] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:32] Searching for coresets greedily...
[2021-03-20 01:07:32] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:07:32] Reset parameters according to He et al.
[2021-03-20 01:07:32] mlp: initialized 18186 parameters.
[2021-03-20 01:07:32] Creating trainer with model on device: cuda
[2021-03-20 01:07:32] Training mlp across 100 data points in blobs...
[2021-03-20 01:07:33] Training accuracy: 0.6989
[2021-03-20 01:07:33] Testing on 5000 data points...
[2021-03-20 01:07:33] Test score for 100 training labels: 0.7460
[2021-03-20 01:07:33] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:33] Found 5000 unlabelled features.
[2021-03-20 01:07:33] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:33] Searching for coresets greedily...
[2021-03-20 01:07:33] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:07:33] Reset parameters according to He et al.
[2021-03-20 01:07:33] mlp: initialized 18186 parameters.
[2021-03-20 01:07:33] Creating trainer with model on device: cuda
[2021-03-20 01:07:33] Training mlp across 150 data points in blobs...
[2021-03-20 01:07:35] Training accuracy: 0.7388
[2021-03-20 01:07:35] Testing on 5000 data points...
[2021-03-20 01:07:35] Test score for 150 training labels: 0.7842
[2021-03-20 01:07:35] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:35] Found 5000 unlabelled features.
[2021-03-20 01:07:35] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:35] Searching for coresets greedily...
[2021-03-20 01:07:35] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:07:35] Reset parameters according to He et al.
[2021-03-20 01:07:35] mlp: initialized 18186 parameters.
[2021-03-20 01:07:35] Creating trainer with model on device: cuda
[2021-03-20 01:07:35] Training mlp across 200 data points in blobs...
[2021-03-20 01:07:37] Training accuracy: 0.7405
[2021-03-20 01:07:37] Testing on 5000 data points...
[2021-03-20 01:07:37] Test score for 200 training labels: 0.7906
[2021-03-20 01:07:37] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:37] Found 5000 unlabelled features.
[2021-03-20 01:07:37] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:37] Searching for coresets greedily...
[2021-03-20 01:07:37] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:07:37] Reset parameters according to He et al.
[2021-03-20 01:07:37] mlp: initialized 18186 parameters.
[2021-03-20 01:07:37] Creating trainer with model on device: cuda
[2021-03-20 01:07:37] Training mlp across 250 data points in blobs...
[2021-03-20 01:07:40] Training accuracy: 0.7522
[2021-03-20 01:07:40] Testing on 5000 data points...
[2021-03-20 01:07:40] Test score for 250 training labels: 0.7954
[2021-03-20 01:07:40] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:40] Found 5000 unlabelled features.
[2021-03-20 01:07:41] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:07:41] Searching for coresets greedily...
[2021-03-20 01:07:41] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:07:41] Reset parameters according to He et al.
[2021-03-20 01:07:41] mlp: initialized 18186 parameters.
[2021-03-20 01:07:41] Creating trainer with model on device: cuda
[2021-03-20 01:07:41] Training mlp across 300 data points in blobs...
[2021-03-20 01:07:45] Training accuracy: 0.7547
[2021-03-20 01:07:45] Testing on 5000 data points...
[2021-03-20 01:07:45] Test score for 300 training labels: 0.8016
[2021-03-20 01:07:45] Experiment repeat 3/3
[2021-03-20 01:07:45] Seeded: 7
[2021-03-20 01:07:45] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:07:45] Randomly labelled 50/5000
[2021-03-20 01:07:45] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:45] Seeded: 8
[2021-03-20 01:07:45] Running: experiment 0
[2021-03-20 01:07:45] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:45] Reset parameters according to He et al.
[2021-03-20 01:07:45] mlp: initialized 18186 parameters.
[2021-03-20 01:07:45] Creating trainer with model on device: cuda
[2021-03-20 01:07:45] Training mlp across 50 data points in blobs...
[2021-03-20 01:07:45] Training accuracy: 0.7789
[2021-03-20 01:07:45] Testing on 5000 data points...
[2021-03-20 01:07:45] Test score for 50 training labels: 0.4182
[2021-03-20 01:07:45] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:45] Found 5000 unlabelled features.
[2021-03-20 01:07:45] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:07:45] Reset parameters according to He et al.
[2021-03-20 01:07:45] mlp: initialized 18186 parameters.
[2021-03-20 01:07:45] Creating trainer with model on device: cuda
[2021-03-20 01:07:45] Training mlp across 100 data points in blobs...
[2021-03-20 01:07:47] Training accuracy: 0.7890
[2021-03-20 01:07:47] Testing on 5000 data points...
[2021-03-20 01:07:47] Test score for 100 training labels: 0.5936
[2021-03-20 01:07:47] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:47] Found 5000 unlabelled features.
[2021-03-20 01:07:47] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:07:47] Reset parameters according to He et al.
[2021-03-20 01:07:47] mlp: initialized 18186 parameters.
[2021-03-20 01:07:47] Creating trainer with model on device: cuda
[2021-03-20 01:07:47] Training mlp across 150 data points in blobs...
[2021-03-20 01:07:48] Training accuracy: 0.8398
[2021-03-20 01:07:48] Testing on 5000 data points...
[2021-03-20 01:07:48] Test score for 150 training labels: 0.6684
[2021-03-20 01:07:48] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:48] Found 5000 unlabelled features.
[2021-03-20 01:07:48] Showing labelled: True (199/5000 visible, 1 redundant)
[2021-03-20 01:07:48] Reset parameters according to He et al.
[2021-03-20 01:07:48] mlp: initialized 18186 parameters.
[2021-03-20 01:07:48] Creating trainer with model on device: cuda
[2021-03-20 01:07:48] Training mlp across 200 data points in blobs...
[2021-03-20 01:07:51] Training accuracy: 0.8336
[2021-03-20 01:07:51] Testing on 5000 data points...
[2021-03-20 01:07:51] Test score for 200 training labels: 0.7316
[2021-03-20 01:07:51] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:51] Found 5000 unlabelled features.
[2021-03-20 01:07:51] Showing labelled: True (246/5000 visible, 4 redundant)
[2021-03-20 01:07:51] Reset parameters according to He et al.
[2021-03-20 01:07:51] mlp: initialized 18186 parameters.
[2021-03-20 01:07:51] Creating trainer with model on device: cuda
[2021-03-20 01:07:51] Training mlp across 250 data points in blobs...
[2021-03-20 01:07:54] Training accuracy: 0.8558
[2021-03-20 01:07:54] Testing on 5000 data points...
[2021-03-20 01:07:54] Test score for 250 training labels: 0.7310
[2021-03-20 01:07:54] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:54] Found 5000 unlabelled features.
[2021-03-20 01:07:54] Showing labelled: True (292/5000 visible, 8 redundant)
[2021-03-20 01:07:54] Reset parameters according to He et al.
[2021-03-20 01:07:54] mlp: initialized 18186 parameters.
[2021-03-20 01:07:54] Creating trainer with model on device: cuda
[2021-03-20 01:07:54] Training mlp across 300 data points in blobs...
[2021-03-20 01:07:58] Training accuracy: 0.8614
[2021-03-20 01:07:58] Testing on 5000 data points...
[2021-03-20 01:07:58] Test score for 300 training labels: 0.7256
[2021-03-20 01:07:58] Seeded: 8
[2021-03-20 01:07:58] Running: experiment 1
[2021-03-20 01:07:58] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:07:58] Reset parameters according to He et al.
[2021-03-20 01:07:58] mlp: initialized 18186 parameters.
[2021-03-20 01:07:58] Creating trainer with model on device: cuda
[2021-03-20 01:07:58] Training mlp across 50 data points in blobs...
[2021-03-20 01:07:58] Training accuracy: 0.7789
[2021-03-20 01:07:58] Testing on 5000 data points...
[2021-03-20 01:07:58] Test score for 50 training labels: 0.4182
[2021-03-20 01:07:58] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:58] Found 5000 unlabelled features.
[2021-03-20 01:07:58] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:07:58] Reset parameters according to He et al.
[2021-03-20 01:07:58] mlp: initialized 18186 parameters.
[2021-03-20 01:07:58] Creating trainer with model on device: cuda
[2021-03-20 01:07:58] Training mlp across 100 data points in blobs...
[2021-03-20 01:07:59] Training accuracy: 0.8992
[2021-03-20 01:07:59] Testing on 5000 data points...
[2021-03-20 01:07:59] Test score for 100 training labels: 0.4858
[2021-03-20 01:07:59] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:07:59] Found 5000 unlabelled features.
[2021-03-20 01:07:59] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:07:59] Reset parameters according to He et al.
[2021-03-20 01:07:59] mlp: initialized 18186 parameters.
[2021-03-20 01:07:59] Creating trainer with model on device: cuda
[2021-03-20 01:07:59] Training mlp across 150 data points in blobs...
[2021-03-20 01:08:01] Training accuracy: 0.8128
[2021-03-20 01:08:01] Testing on 5000 data points...
[2021-03-20 01:08:01] Test score for 150 training labels: 0.5764
[2021-03-20 01:08:01] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:01] Found 5000 unlabelled features.
[2021-03-20 01:08:01] Showing labelled: True (190/5000 visible, 10 redundant)
[2021-03-20 01:08:01] Reset parameters according to He et al.
[2021-03-20 01:08:01] mlp: initialized 18186 parameters.
[2021-03-20 01:08:01] Creating trainer with model on device: cuda
[2021-03-20 01:08:01] Training mlp across 200 data points in blobs...
[2021-03-20 01:08:04] Training accuracy: 0.7749
[2021-03-20 01:08:04] Testing on 5000 data points...
[2021-03-20 01:08:04] Test score for 200 training labels: 0.6042
[2021-03-20 01:08:04] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:04] Found 5000 unlabelled features.
[2021-03-20 01:08:04] Showing labelled: True (220/5000 visible, 30 redundant)
[2021-03-20 01:08:04] Reset parameters according to He et al.
[2021-03-20 01:08:04] mlp: initialized 18186 parameters.
[2021-03-20 01:08:04] Creating trainer with model on device: cuda
[2021-03-20 01:08:04] Training mlp across 250 data points in blobs...
[2021-03-20 01:08:07] Training accuracy: 0.7258
[2021-03-20 01:08:07] Testing on 5000 data points...
[2021-03-20 01:08:07] Test score for 250 training labels: 0.5814
[2021-03-20 01:08:07] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:07] Found 5000 unlabelled features.
[2021-03-20 01:08:07] Showing labelled: True (247/5000 visible, 53 redundant)
[2021-03-20 01:08:07] Reset parameters according to He et al.
[2021-03-20 01:08:07] mlp: initialized 18186 parameters.
[2021-03-20 01:08:07] Creating trainer with model on device: cuda
[2021-03-20 01:08:07] Training mlp across 300 data points in blobs...
[2021-03-20 01:08:10] Training accuracy: 0.6765
[2021-03-20 01:08:10] Testing on 5000 data points...
[2021-03-20 01:08:10] Test score for 300 training labels: 0.5840
[2021-03-20 01:08:10] Seeded: 8
[2021-03-20 01:08:10] Running: experiment 2
[2021-03-20 01:08:10] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:08:10] Reset parameters according to He et al.
[2021-03-20 01:08:10] mlp: initialized 18186 parameters.
[2021-03-20 01:08:10] Creating trainer with model on device: cuda
[2021-03-20 01:08:10] Training mlp across 50 data points in blobs...
[2021-03-20 01:08:11] Training accuracy: 0.7789
[2021-03-20 01:08:11] Testing on 5000 data points...
[2021-03-20 01:08:11] Test score for 50 training labels: 0.4182
[2021-03-20 01:08:11] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:11] Found 5000 unlabelled features.
[2021-03-20 01:08:11] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:11] Searching for coresets with 20 beams...
[2021-03-20 01:08:11] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:08:11] Reset parameters according to He et al.
[2021-03-20 01:08:11] mlp: initialized 18186 parameters.
[2021-03-20 01:08:11] Creating trainer with model on device: cuda
[2021-03-20 01:08:11] Training mlp across 100 data points in blobs...
[2021-03-20 01:08:12] Training accuracy: 0.6638
[2021-03-20 01:08:12] Testing on 5000 data points...
[2021-03-20 01:08:12] Test score for 100 training labels: 0.7418
[2021-03-20 01:08:12] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:12] Found 5000 unlabelled features.
[2021-03-20 01:08:12] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:12] Searching for coresets with 20 beams...
[2021-03-20 01:08:12] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:08:12] Reset parameters according to He et al.
[2021-03-20 01:08:12] mlp: initialized 18186 parameters.
[2021-03-20 01:08:12] Creating trainer with model on device: cuda
[2021-03-20 01:08:12] Training mlp across 150 data points in blobs...
[2021-03-20 01:08:14] Training accuracy: 0.7062
[2021-03-20 01:08:14] Testing on 5000 data points...
[2021-03-20 01:08:14] Test score for 150 training labels: 0.7762
[2021-03-20 01:08:14] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:14] Found 5000 unlabelled features.
[2021-03-20 01:08:14] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:14] Searching for coresets with 20 beams...
[2021-03-20 01:08:14] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:08:14] Reset parameters according to He et al.
[2021-03-20 01:08:14] mlp: initialized 18186 parameters.
[2021-03-20 01:08:14] Creating trainer with model on device: cuda
[2021-03-20 01:08:14] Training mlp across 200 data points in blobs...
[2021-03-20 01:08:17] Training accuracy: 0.7387
[2021-03-20 01:08:17] Testing on 5000 data points...
[2021-03-20 01:08:17] Test score for 200 training labels: 0.7852
[2021-03-20 01:08:17] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:17] Found 5000 unlabelled features.
[2021-03-20 01:08:17] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:17] Searching for coresets with 20 beams...
[2021-03-20 01:08:17] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:08:17] Reset parameters according to He et al.
[2021-03-20 01:08:17] mlp: initialized 18186 parameters.
[2021-03-20 01:08:17] Creating trainer with model on device: cuda
[2021-03-20 01:08:17] Training mlp across 250 data points in blobs...
[2021-03-20 01:08:20] Training accuracy: 0.7488
[2021-03-20 01:08:20] Testing on 5000 data points...
[2021-03-20 01:08:20] Test score for 250 training labels: 0.8056
[2021-03-20 01:08:20] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:20] Found 5000 unlabelled features.
[2021-03-20 01:08:20] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:20] Searching for coresets with 20 beams...
[2021-03-20 01:08:20] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:08:20] Reset parameters according to He et al.
[2021-03-20 01:08:20] mlp: initialized 18186 parameters.
[2021-03-20 01:08:20] Creating trainer with model on device: cuda
[2021-03-20 01:08:20] Training mlp across 300 data points in blobs...
[2021-03-20 01:08:24] Training accuracy: 0.7668
[2021-03-20 01:08:24] Testing on 5000 data points...
[2021-03-20 01:08:24] Test score for 300 training labels: 0.8040
[2021-03-20 01:08:24] Seeded: 8
[2021-03-20 01:08:24] Running: experiment 3
[2021-03-20 01:08:24] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:08:24] Reset parameters according to He et al.
[2021-03-20 01:08:24] mlp: initialized 18186 parameters.
[2021-03-20 01:08:24] Creating trainer with model on device: cuda
[2021-03-20 01:08:24] Training mlp across 50 data points in blobs...
[2021-03-20 01:08:24] Training accuracy: 0.7789
[2021-03-20 01:08:24] Testing on 5000 data points...
[2021-03-20 01:08:24] Test score for 50 training labels: 0.4182
[2021-03-20 01:08:24] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:24] Found 5000 unlabelled features.
[2021-03-20 01:08:24] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:24] Searching for coresets greedily...
[2021-03-20 01:08:24] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:08:24] Reset parameters according to He et al.
[2021-03-20 01:08:24] mlp: initialized 18186 parameters.
[2021-03-20 01:08:24] Creating trainer with model on device: cuda
[2021-03-20 01:08:24] Training mlp across 100 data points in blobs...
[2021-03-20 01:08:26] Training accuracy: 0.6965
[2021-03-20 01:08:26] Testing on 5000 data points...
[2021-03-20 01:08:26] Test score for 100 training labels: 0.7384
[2021-03-20 01:08:26] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:26] Found 5000 unlabelled features.
[2021-03-20 01:08:26] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:26] Searching for coresets greedily...
[2021-03-20 01:08:26] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:08:26] Reset parameters according to He et al.
[2021-03-20 01:08:26] mlp: initialized 18186 parameters.
[2021-03-20 01:08:26] Creating trainer with model on device: cuda
[2021-03-20 01:08:26] Training mlp across 150 data points in blobs...
[2021-03-20 01:08:27] Training accuracy: 0.7257
[2021-03-20 01:08:27] Testing on 5000 data points...
[2021-03-20 01:08:28] Test score for 150 training labels: 0.7774
[2021-03-20 01:08:28] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:28] Found 5000 unlabelled features.
[2021-03-20 01:08:28] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:28] Searching for coresets greedily...
[2021-03-20 01:08:28] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:08:28] Reset parameters according to He et al.
[2021-03-20 01:08:28] mlp: initialized 18186 parameters.
[2021-03-20 01:08:28] Creating trainer with model on device: cuda
[2021-03-20 01:08:28] Training mlp across 200 data points in blobs...
[2021-03-20 01:08:30] Training accuracy: 0.7534
[2021-03-20 01:08:30] Testing on 5000 data points...
[2021-03-20 01:08:30] Test score for 200 training labels: 0.7928
[2021-03-20 01:08:30] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:30] Found 5000 unlabelled features.
[2021-03-20 01:08:30] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:30] Searching for coresets greedily...
[2021-03-20 01:08:30] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:08:30] Reset parameters according to He et al.
[2021-03-20 01:08:30] mlp: initialized 18186 parameters.
[2021-03-20 01:08:30] Creating trainer with model on device: cuda
[2021-03-20 01:08:30] Training mlp across 250 data points in blobs...
[2021-03-20 01:08:33] Training accuracy: 0.7708
[2021-03-20 01:08:33] Testing on 5000 data points...
[2021-03-20 01:08:33] Test score for 250 training labels: 0.8100
[2021-03-20 01:08:33] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:33] Found 5000 unlabelled features.
[2021-03-20 01:08:33] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:08:33] Searching for coresets greedily...
[2021-03-20 01:08:33] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:08:33] Reset parameters according to He et al.
[2021-03-20 01:08:33] mlp: initialized 18186 parameters.
[2021-03-20 01:08:33] Creating trainer with model on device: cuda
[2021-03-20 01:08:33] Training mlp across 300 data points in blobs...
[2021-03-20 01:08:37] Training accuracy: 0.7655
[2021-03-20 01:08:37] Testing on 5000 data points...
[2021-03-20 01:08:37] Test score for 300 training labels: 0.8036
[2021-03-20 01:08:37] Updated results: ../results/blobs/mlp/results.json
