[2021-03-20 01:08:42] Created experiment 0:
[2021-03-20 01:08:42]  - Model: mlp
[2021-03-20 01:08:42]  - Acquisition function: random
[2021-03-20 01:08:42] Created experiment 1:
[2021-03-20 01:08:42]  - Model: mlp
[2021-03-20 01:08:42]  - Acquisition function: least-confidence
[2021-03-20 01:08:42] Created experiment 2:
[2021-03-20 01:08:42]  - Model: mlp
[2021-03-20 01:08:42]  - Acquisition function: lc-beam-coreset
[2021-03-20 01:08:42] Created experiment 3:
[2021-03-20 01:08:42]  - Model: mlp
[2021-03-20 01:08:42]  - Acquisition function: greedy-coreset
[2021-03-20 01:08:42] Loading blobsthin test set...
[2021-03-20 01:08:42] Generated 5000 blobs:
[2021-03-20 01:08:42] Class 0: 200
[2021-03-20 01:08:42] Class 1: 300
[2021-03-20 01:08:42] Class 2: 1000
[2021-03-20 01:08:42] Class 3: 100
[2021-03-20 01:08:42] Class 4: 50
[2021-03-20 01:08:42] Class 5: 200
[2021-03-20 01:08:42] Class 6: 400
[2021-03-20 01:08:42] Class 7: 1800
[2021-03-20 01:08:42] Class 8: 50
[2021-03-20 01:08:42] Class 9: 900
[2021-03-20 01:08:42] Saved figure to: ../data/blobsthin_data.png
[2021-03-20 01:08:42] Generated 5000 test points.
[2021-03-20 01:08:43] Saved figure to: ../data/blobsthin_test.png
[2021-03-20 01:08:43] Experiment repeat 1/3
[2021-03-20 01:08:43] Seeded: 5
[2021-03-20 01:08:43] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:08:43] Randomly labelled 50/5000
[2021-03-20 01:08:43] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:08:43] Seeded: 6
[2021-03-20 01:08:43] Running: experiment 0
[2021-03-20 01:08:43] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:08:43] Reset parameters according to He et al.
[2021-03-20 01:08:43] mlp: initialized 18186 parameters.
[2021-03-20 01:08:43] Creating trainer with model on device: cuda
[2021-03-20 01:08:47] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:08:48] Training accuracy: 0.7924
[2021-03-20 01:08:48] Testing on 5000 data points...
[2021-03-20 01:08:48] Test score for 50 training labels: 0.5146
[2021-03-20 01:08:48] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:48] Found 5000 unlabelled features.
[2021-03-20 01:08:48] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:08:48] Reset parameters according to He et al.
[2021-03-20 01:08:48] mlp: initialized 18186 parameters.
[2021-03-20 01:08:48] Creating trainer with model on device: cuda
[2021-03-20 01:08:48] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:08:49] Training accuracy: 0.8670
[2021-03-20 01:08:49] Testing on 5000 data points...
[2021-03-20 01:08:49] Test score for 100 training labels: 0.7172
[2021-03-20 01:08:49] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:49] Found 5000 unlabelled features.
[2021-03-20 01:08:49] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:08:49] Reset parameters according to He et al.
[2021-03-20 01:08:49] mlp: initialized 18186 parameters.
[2021-03-20 01:08:49] Creating trainer with model on device: cuda
[2021-03-20 01:08:49] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:08:51] Training accuracy: 0.8664
[2021-03-20 01:08:51] Testing on 5000 data points...
[2021-03-20 01:08:51] Test score for 150 training labels: 0.8338
[2021-03-20 01:08:51] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:51] Found 5000 unlabelled features.
[2021-03-20 01:08:51] Showing labelled: True (197/5000 visible, 3 redundant)
[2021-03-20 01:08:51] Reset parameters according to He et al.
[2021-03-20 01:08:51] mlp: initialized 18186 parameters.
[2021-03-20 01:08:51] Creating trainer with model on device: cuda
[2021-03-20 01:08:51] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:08:53] Training accuracy: 0.8845
[2021-03-20 01:08:53] Testing on 5000 data points...
[2021-03-20 01:08:53] Test score for 200 training labels: 0.8906
[2021-03-20 01:08:53] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:53] Found 5000 unlabelled features.
[2021-03-20 01:08:53] Showing labelled: True (245/5000 visible, 5 redundant)
[2021-03-20 01:08:53] Reset parameters according to He et al.
[2021-03-20 01:08:53] mlp: initialized 18186 parameters.
[2021-03-20 01:08:53] Creating trainer with model on device: cuda
[2021-03-20 01:08:53] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:08:56] Training accuracy: 0.8847
[2021-03-20 01:08:56] Testing on 5000 data points...
[2021-03-20 01:08:56] Test score for 250 training labels: 0.8934
[2021-03-20 01:08:56] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:08:56] Found 5000 unlabelled features.
[2021-03-20 01:08:56] Showing labelled: True (289/5000 visible, 11 redundant)
[2021-03-20 01:08:56] Reset parameters according to He et al.
[2021-03-20 01:08:56] mlp: initialized 18186 parameters.
[2021-03-20 01:08:56] Creating trainer with model on device: cuda
[2021-03-20 01:08:56] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:09:00] Training accuracy: 0.8964
[2021-03-20 01:09:00] Testing on 5000 data points...
[2021-03-20 01:09:00] Test score for 300 training labels: 0.8940
[2021-03-20 01:09:00] Seeded: 6
[2021-03-20 01:09:00] Running: experiment 1
[2021-03-20 01:09:00] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:00] Reset parameters according to He et al.
[2021-03-20 01:09:00] mlp: initialized 18186 parameters.
[2021-03-20 01:09:00] Creating trainer with model on device: cuda
[2021-03-20 01:09:00] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:09:00] Training accuracy: 0.7924
[2021-03-20 01:09:00] Testing on 5000 data points...
[2021-03-20 01:09:00] Test score for 50 training labels: 0.5146
[2021-03-20 01:09:00] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:00] Found 5000 unlabelled features.
[2021-03-20 01:09:00] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:09:00] Reset parameters according to He et al.
[2021-03-20 01:09:00] mlp: initialized 18186 parameters.
[2021-03-20 01:09:00] Creating trainer with model on device: cuda
[2021-03-20 01:09:00] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:09:01] Training accuracy: 0.8304
[2021-03-20 01:09:01] Testing on 5000 data points...
[2021-03-20 01:09:01] Test score for 100 training labels: 0.5160
[2021-03-20 01:09:01] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:01] Found 5000 unlabelled features.
[2021-03-20 01:09:01] Showing labelled: True (148/5000 visible, 2 redundant)
[2021-03-20 01:09:01] Reset parameters according to He et al.
[2021-03-20 01:09:01] mlp: initialized 18186 parameters.
[2021-03-20 01:09:01] Creating trainer with model on device: cuda
[2021-03-20 01:09:01] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:09:03] Training accuracy: 0.8702
[2021-03-20 01:09:03] Testing on 5000 data points...
[2021-03-20 01:09:03] Test score for 150 training labels: 0.5000
[2021-03-20 01:09:03] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:03] Found 5000 unlabelled features.
[2021-03-20 01:09:03] Showing labelled: True (198/5000 visible, 2 redundant)
[2021-03-20 01:09:03] Reset parameters according to He et al.
[2021-03-20 01:09:03] mlp: initialized 18186 parameters.
[2021-03-20 01:09:03] Creating trainer with model on device: cuda
[2021-03-20 01:09:03] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:09:05] Training accuracy: 0.9267
[2021-03-20 01:09:05] Testing on 5000 data points...
[2021-03-20 01:09:05] Test score for 200 training labels: 0.6170
[2021-03-20 01:09:05] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:05] Found 5000 unlabelled features.
[2021-03-20 01:09:06] Showing labelled: True (247/5000 visible, 3 redundant)
[2021-03-20 01:09:06] Reset parameters according to He et al.
[2021-03-20 01:09:06] mlp: initialized 18186 parameters.
[2021-03-20 01:09:06] Creating trainer with model on device: cuda
[2021-03-20 01:09:06] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:09:08] Training accuracy: 0.9258
[2021-03-20 01:09:08] Testing on 5000 data points...
[2021-03-20 01:09:08] Test score for 250 training labels: 0.7794
[2021-03-20 01:09:08] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:08] Found 5000 unlabelled features.
[2021-03-20 01:09:09] Showing labelled: True (296/5000 visible, 4 redundant)
[2021-03-20 01:09:09] Reset parameters according to He et al.
[2021-03-20 01:09:09] mlp: initialized 18186 parameters.
[2021-03-20 01:09:09] Creating trainer with model on device: cuda
[2021-03-20 01:09:09] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:09:12] Training accuracy: 0.9459
[2021-03-20 01:09:12] Testing on 5000 data points...
[2021-03-20 01:09:12] Test score for 300 training labels: 0.7972
[2021-03-20 01:09:12] Seeded: 6
[2021-03-20 01:09:12] Running: experiment 2
[2021-03-20 01:09:12] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:12] Reset parameters according to He et al.
[2021-03-20 01:09:12] mlp: initialized 18186 parameters.
[2021-03-20 01:09:12] Creating trainer with model on device: cuda
[2021-03-20 01:09:12] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:09:13] Training accuracy: 0.7924
[2021-03-20 01:09:13] Testing on 5000 data points...
[2021-03-20 01:09:13] Test score for 50 training labels: 0.5146
[2021-03-20 01:09:13] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:13] Found 5000 unlabelled features.
[2021-03-20 01:09:13] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:13] Searching for coresets with 20 beams...
[2021-03-20 01:09:13] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:09:13] Reset parameters according to He et al.
[2021-03-20 01:09:13] mlp: initialized 18186 parameters.
[2021-03-20 01:09:13] Creating trainer with model on device: cuda
[2021-03-20 01:09:13] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:09:14] Training accuracy: 0.7889
[2021-03-20 01:09:14] Testing on 5000 data points...
[2021-03-20 01:09:14] Test score for 100 training labels: 0.8962
[2021-03-20 01:09:14] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:14] Found 5000 unlabelled features.
[2021-03-20 01:09:14] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:14] Searching for coresets with 20 beams...
[2021-03-20 01:09:15] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:09:15] Reset parameters according to He et al.
[2021-03-20 01:09:15] mlp: initialized 18186 parameters.
[2021-03-20 01:09:15] Creating trainer with model on device: cuda
[2021-03-20 01:09:15] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:09:16] Training accuracy: 0.8055
[2021-03-20 01:09:16] Testing on 5000 data points...
[2021-03-20 01:09:16] Test score for 150 training labels: 0.8992
[2021-03-20 01:09:16] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:16] Found 5000 unlabelled features.
[2021-03-20 01:09:16] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:16] Searching for coresets with 20 beams...
[2021-03-20 01:09:17] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:09:17] Reset parameters according to He et al.
[2021-03-20 01:09:17] mlp: initialized 18186 parameters.
[2021-03-20 01:09:17] Creating trainer with model on device: cuda
[2021-03-20 01:09:17] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:09:19] Training accuracy: 0.8326
[2021-03-20 01:09:19] Testing on 5000 data points...
[2021-03-20 01:09:19] Test score for 200 training labels: 0.8996
[2021-03-20 01:09:19] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:19] Found 5000 unlabelled features.
[2021-03-20 01:09:19] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:19] Searching for coresets with 20 beams...
[2021-03-20 01:09:19] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:09:19] Reset parameters according to He et al.
[2021-03-20 01:09:19] mlp: initialized 18186 parameters.
[2021-03-20 01:09:19] Creating trainer with model on device: cuda
[2021-03-20 01:09:19] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:09:22] Training accuracy: 0.8472
[2021-03-20 01:09:22] Testing on 5000 data points...
[2021-03-20 01:09:22] Test score for 250 training labels: 0.8994
[2021-03-20 01:09:22] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:22] Found 5000 unlabelled features.
[2021-03-20 01:09:22] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:22] Searching for coresets with 20 beams...
[2021-03-20 01:09:22] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:09:22] Reset parameters according to He et al.
[2021-03-20 01:09:22] mlp: initialized 18186 parameters.
[2021-03-20 01:09:22] Creating trainer with model on device: cuda
[2021-03-20 01:09:22] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:09:26] Training accuracy: 0.8533
[2021-03-20 01:09:26] Testing on 5000 data points...
[2021-03-20 01:09:26] Test score for 300 training labels: 0.8994
[2021-03-20 01:09:26] Seeded: 6
[2021-03-20 01:09:26] Running: experiment 3
[2021-03-20 01:09:26] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:26] Reset parameters according to He et al.
[2021-03-20 01:09:26] mlp: initialized 18186 parameters.
[2021-03-20 01:09:26] Creating trainer with model on device: cuda
[2021-03-20 01:09:26] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:09:26] Training accuracy: 0.7924
[2021-03-20 01:09:26] Testing on 5000 data points...
[2021-03-20 01:09:26] Test score for 50 training labels: 0.5146
[2021-03-20 01:09:26] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:26] Found 5000 unlabelled features.
[2021-03-20 01:09:26] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:26] Searching for coresets greedily...
[2021-03-20 01:09:26] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:09:26] Reset parameters according to He et al.
[2021-03-20 01:09:26] mlp: initialized 18186 parameters.
[2021-03-20 01:09:26] Creating trainer with model on device: cuda
[2021-03-20 01:09:26] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:09:27] Training accuracy: 0.7812
[2021-03-20 01:09:27] Testing on 5000 data points...
[2021-03-20 01:09:28] Test score for 100 training labels: 0.8984
[2021-03-20 01:09:28] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:28] Found 5000 unlabelled features.
[2021-03-20 01:09:28] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:28] Searching for coresets greedily...
[2021-03-20 01:09:28] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:09:28] Reset parameters according to He et al.
[2021-03-20 01:09:28] mlp: initialized 18186 parameters.
[2021-03-20 01:09:28] Creating trainer with model on device: cuda
[2021-03-20 01:09:28] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:09:29] Training accuracy: 0.8154
[2021-03-20 01:09:29] Testing on 5000 data points...
[2021-03-20 01:09:29] Test score for 150 training labels: 0.8986
[2021-03-20 01:09:29] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:29] Found 5000 unlabelled features.
[2021-03-20 01:09:29] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:29] Searching for coresets greedily...
[2021-03-20 01:09:29] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:09:29] Reset parameters according to He et al.
[2021-03-20 01:09:29] mlp: initialized 18186 parameters.
[2021-03-20 01:09:29] Creating trainer with model on device: cuda
[2021-03-20 01:09:29] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:09:32] Training accuracy: 0.8130
[2021-03-20 01:09:32] Testing on 5000 data points...
[2021-03-20 01:09:32] Test score for 200 training labels: 0.8996
[2021-03-20 01:09:32] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:32] Found 5000 unlabelled features.
[2021-03-20 01:09:32] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:32] Searching for coresets greedily...
[2021-03-20 01:09:32] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:09:32] Reset parameters according to He et al.
[2021-03-20 01:09:32] mlp: initialized 18186 parameters.
[2021-03-20 01:09:32] Creating trainer with model on device: cuda
[2021-03-20 01:09:32] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:09:35] Training accuracy: 0.8560
[2021-03-20 01:09:35] Testing on 5000 data points...
[2021-03-20 01:09:35] Test score for 250 training labels: 0.8994
[2021-03-20 01:09:35] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:35] Found 5000 unlabelled features.
[2021-03-20 01:09:35] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:09:35] Searching for coresets greedily...
[2021-03-20 01:09:35] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:09:35] Reset parameters according to He et al.
[2021-03-20 01:09:35] mlp: initialized 18186 parameters.
[2021-03-20 01:09:35] Creating trainer with model on device: cuda
[2021-03-20 01:09:35] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:09:38] Training accuracy: 0.8468
[2021-03-20 01:09:38] Testing on 5000 data points...
[2021-03-20 01:09:38] Test score for 300 training labels: 0.8994
[2021-03-20 01:09:38] Experiment repeat 2/3
[2021-03-20 01:09:38] Seeded: 6
[2021-03-20 01:09:38] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:09:38] Randomly labelled 50/5000
[2021-03-20 01:09:38] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:38] Seeded: 7
[2021-03-20 01:09:38] Running: experiment 0
[2021-03-20 01:09:38] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:38] Reset parameters according to He et al.
[2021-03-20 01:09:38] mlp: initialized 18186 parameters.
[2021-03-20 01:09:38] Creating trainer with model on device: cuda
[2021-03-20 01:09:38] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:09:39] Training accuracy: 0.8082
[2021-03-20 01:09:39] Testing on 5000 data points...
[2021-03-20 01:09:39] Test score for 50 training labels: 0.5638
[2021-03-20 01:09:39] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:39] Found 5000 unlabelled features.
[2021-03-20 01:09:39] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:09:39] Reset parameters according to He et al.
[2021-03-20 01:09:39] mlp: initialized 18186 parameters.
[2021-03-20 01:09:39] Creating trainer with model on device: cuda
[2021-03-20 01:09:39] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:09:40] Training accuracy: 0.8879
[2021-03-20 01:09:40] Testing on 5000 data points...
[2021-03-20 01:09:40] Test score for 100 training labels: 0.6000
[2021-03-20 01:09:40] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:40] Found 5000 unlabelled features.
[2021-03-20 01:09:40] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:09:40] Reset parameters according to He et al.
[2021-03-20 01:09:40] mlp: initialized 18186 parameters.
[2021-03-20 01:09:40] Creating trainer with model on device: cuda
[2021-03-20 01:09:40] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:09:42] Training accuracy: 0.9118
[2021-03-20 01:09:42] Testing on 5000 data points...
[2021-03-20 01:09:42] Test score for 150 training labels: 0.6624
[2021-03-20 01:09:42] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:42] Found 5000 unlabelled features.
[2021-03-20 01:09:42] Showing labelled: True (199/5000 visible, 1 redundant)
[2021-03-20 01:09:42] Reset parameters according to He et al.
[2021-03-20 01:09:42] mlp: initialized 18186 parameters.
[2021-03-20 01:09:42] Creating trainer with model on device: cuda
[2021-03-20 01:09:42] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:09:44] Training accuracy: 0.9028
[2021-03-20 01:09:44] Testing on 5000 data points...
[2021-03-20 01:09:44] Test score for 200 training labels: 0.7204
[2021-03-20 01:09:44] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:44] Found 5000 unlabelled features.
[2021-03-20 01:09:44] Showing labelled: True (246/5000 visible, 4 redundant)
[2021-03-20 01:09:44] Reset parameters according to He et al.
[2021-03-20 01:09:44] mlp: initialized 18186 parameters.
[2021-03-20 01:09:44] Creating trainer with model on device: cuda
[2021-03-20 01:09:44] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:09:47] Training accuracy: 0.8986
[2021-03-20 01:09:47] Testing on 5000 data points...
[2021-03-20 01:09:47] Test score for 250 training labels: 0.8912
[2021-03-20 01:09:47] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:47] Found 5000 unlabelled features.
[2021-03-20 01:09:47] Showing labelled: True (293/5000 visible, 7 redundant)
[2021-03-20 01:09:47] Reset parameters according to He et al.
[2021-03-20 01:09:47] mlp: initialized 18186 parameters.
[2021-03-20 01:09:47] Creating trainer with model on device: cuda
[2021-03-20 01:09:47] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:09:50] Training accuracy: 0.9273
[2021-03-20 01:09:50] Testing on 5000 data points...
[2021-03-20 01:09:50] Test score for 300 training labels: 0.8958
[2021-03-20 01:09:50] Seeded: 7
[2021-03-20 01:09:50] Running: experiment 1
[2021-03-20 01:09:50] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:09:50] Reset parameters according to He et al.
[2021-03-20 01:09:50] mlp: initialized 18186 parameters.
[2021-03-20 01:09:50] Creating trainer with model on device: cuda
[2021-03-20 01:09:50] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:09:51] Training accuracy: 0.8082
[2021-03-20 01:09:51] Testing on 5000 data points...
[2021-03-20 01:09:51] Test score for 50 training labels: 0.5638
[2021-03-20 01:09:51] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:51] Found 5000 unlabelled features.
[2021-03-20 01:09:51] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:09:51] Reset parameters according to He et al.
[2021-03-20 01:09:51] mlp: initialized 18186 parameters.
[2021-03-20 01:09:51] Creating trainer with model on device: cuda
[2021-03-20 01:09:51] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:09:52] Training accuracy: 0.9188
[2021-03-20 01:09:52] Testing on 5000 data points...
[2021-03-20 01:09:52] Test score for 100 training labels: 0.6000
[2021-03-20 01:09:52] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:52] Found 5000 unlabelled features.
[2021-03-20 01:09:52] Showing labelled: True (148/5000 visible, 2 redundant)
[2021-03-20 01:09:52] Reset parameters according to He et al.
[2021-03-20 01:09:52] mlp: initialized 18186 parameters.
[2021-03-20 01:09:52] Creating trainer with model on device: cuda
[2021-03-20 01:09:52] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:09:54] Training accuracy: 0.9160
[2021-03-20 01:09:54] Testing on 5000 data points...
[2021-03-20 01:09:54] Test score for 150 training labels: 0.7000
[2021-03-20 01:09:54] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:54] Found 5000 unlabelled features.
[2021-03-20 01:09:54] Showing labelled: True (191/5000 visible, 9 redundant)
[2021-03-20 01:09:54] Reset parameters according to He et al.
[2021-03-20 01:09:54] mlp: initialized 18186 parameters.
[2021-03-20 01:09:54] Creating trainer with model on device: cuda
[2021-03-20 01:09:54] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:09:56] Training accuracy: 0.8486
[2021-03-20 01:09:56] Testing on 5000 data points...
[2021-03-20 01:09:56] Test score for 200 training labels: 0.7998
[2021-03-20 01:09:56] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:56] Found 5000 unlabelled features.
[2021-03-20 01:09:56] Showing labelled: True (215/5000 visible, 35 redundant)
[2021-03-20 01:09:56] Reset parameters according to He et al.
[2021-03-20 01:09:56] mlp: initialized 18186 parameters.
[2021-03-20 01:09:56] Creating trainer with model on device: cuda
[2021-03-20 01:09:56] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:09:59] Training accuracy: 0.8284
[2021-03-20 01:09:59] Testing on 5000 data points...
[2021-03-20 01:09:59] Test score for 250 training labels: 0.8026
[2021-03-20 01:09:59] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:09:59] Found 5000 unlabelled features.
[2021-03-20 01:09:59] Showing labelled: True (231/5000 visible, 69 redundant)
[2021-03-20 01:09:59] Reset parameters according to He et al.
[2021-03-20 01:09:59] mlp: initialized 18186 parameters.
[2021-03-20 01:09:59] Creating trainer with model on device: cuda
[2021-03-20 01:09:59] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:10:02] Training accuracy: 0.8326
[2021-03-20 01:10:02] Testing on 5000 data points...
[2021-03-20 01:10:02] Test score for 300 training labels: 0.8576
[2021-03-20 01:10:02] Seeded: 7
[2021-03-20 01:10:02] Running: experiment 2
[2021-03-20 01:10:02] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:02] Reset parameters according to He et al.
[2021-03-20 01:10:02] mlp: initialized 18186 parameters.
[2021-03-20 01:10:02] Creating trainer with model on device: cuda
[2021-03-20 01:10:02] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:10:03] Training accuracy: 0.8082
[2021-03-20 01:10:03] Testing on 5000 data points...
[2021-03-20 01:10:03] Test score for 50 training labels: 0.5638
[2021-03-20 01:10:03] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:03] Found 5000 unlabelled features.
[2021-03-20 01:10:03] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:03] Searching for coresets with 20 beams...
[2021-03-20 01:10:03] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:10:03] Reset parameters according to He et al.
[2021-03-20 01:10:03] mlp: initialized 18186 parameters.
[2021-03-20 01:10:03] Creating trainer with model on device: cuda
[2021-03-20 01:10:03] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:10:04] Training accuracy: 0.7610
[2021-03-20 01:10:04] Testing on 5000 data points...
[2021-03-20 01:10:05] Test score for 100 training labels: 0.8864
[2021-03-20 01:10:05] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:05] Found 5000 unlabelled features.
[2021-03-20 01:10:05] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:05] Searching for coresets with 20 beams...
[2021-03-20 01:10:05] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:10:05] Reset parameters according to He et al.
[2021-03-20 01:10:05] mlp: initialized 18186 parameters.
[2021-03-20 01:10:05] Creating trainer with model on device: cuda
[2021-03-20 01:10:05] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:10:06] Training accuracy: 0.8279
[2021-03-20 01:10:06] Testing on 5000 data points...
[2021-03-20 01:10:06] Test score for 150 training labels: 0.8992
[2021-03-20 01:10:06] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:06] Found 5000 unlabelled features.
[2021-03-20 01:10:07] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:07] Searching for coresets with 20 beams...
[2021-03-20 01:10:07] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:10:07] Reset parameters according to He et al.
[2021-03-20 01:10:07] mlp: initialized 18186 parameters.
[2021-03-20 01:10:07] Creating trainer with model on device: cuda
[2021-03-20 01:10:07] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:10:09] Training accuracy: 0.8216
[2021-03-20 01:10:09] Testing on 5000 data points...
[2021-03-20 01:10:09] Test score for 200 training labels: 0.8992
[2021-03-20 01:10:09] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:09] Found 5000 unlabelled features.
[2021-03-20 01:10:09] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:09] Searching for coresets with 20 beams...
[2021-03-20 01:10:09] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:10:09] Reset parameters according to He et al.
[2021-03-20 01:10:09] mlp: initialized 18186 parameters.
[2021-03-20 01:10:09] Creating trainer with model on device: cuda
[2021-03-20 01:10:09] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:10:12] Training accuracy: 0.8401
[2021-03-20 01:10:12] Testing on 5000 data points...
[2021-03-20 01:10:12] Test score for 250 training labels: 0.8994
[2021-03-20 01:10:12] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:12] Found 5000 unlabelled features.
[2021-03-20 01:10:12] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:12] Searching for coresets with 20 beams...
[2021-03-20 01:10:12] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:10:12] Reset parameters according to He et al.
[2021-03-20 01:10:12] mlp: initialized 18186 parameters.
[2021-03-20 01:10:12] Creating trainer with model on device: cuda
[2021-03-20 01:10:12] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:10:16] Training accuracy: 0.8714
[2021-03-20 01:10:16] Testing on 5000 data points...
[2021-03-20 01:10:16] Test score for 300 training labels: 0.9000
[2021-03-20 01:10:16] Seeded: 7
[2021-03-20 01:10:16] Running: experiment 3
[2021-03-20 01:10:16] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:16] Reset parameters according to He et al.
[2021-03-20 01:10:16] mlp: initialized 18186 parameters.
[2021-03-20 01:10:16] Creating trainer with model on device: cuda
[2021-03-20 01:10:16] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:10:16] Training accuracy: 0.8082
[2021-03-20 01:10:16] Testing on 5000 data points...
[2021-03-20 01:10:16] Test score for 50 training labels: 0.5638
[2021-03-20 01:10:16] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:16] Found 5000 unlabelled features.
[2021-03-20 01:10:16] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:16] Searching for coresets greedily...
[2021-03-20 01:10:16] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:10:16] Reset parameters according to He et al.
[2021-03-20 01:10:16] mlp: initialized 18186 parameters.
[2021-03-20 01:10:16] Creating trainer with model on device: cuda
[2021-03-20 01:10:16] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:10:18] Training accuracy: 0.7524
[2021-03-20 01:10:18] Testing on 5000 data points...
[2021-03-20 01:10:18] Test score for 100 training labels: 0.8958
[2021-03-20 01:10:18] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:18] Found 5000 unlabelled features.
[2021-03-20 01:10:18] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:18] Searching for coresets greedily...
[2021-03-20 01:10:18] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:10:18] Reset parameters according to He et al.
[2021-03-20 01:10:18] mlp: initialized 18186 parameters.
[2021-03-20 01:10:18] Creating trainer with model on device: cuda
[2021-03-20 01:10:18] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:10:19] Training accuracy: 0.8038
[2021-03-20 01:10:19] Testing on 5000 data points...
[2021-03-20 01:10:19] Test score for 150 training labels: 0.8982
[2021-03-20 01:10:19] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:19] Found 5000 unlabelled features.
[2021-03-20 01:10:19] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:19] Searching for coresets greedily...
[2021-03-20 01:10:19] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:10:19] Reset parameters according to He et al.
[2021-03-20 01:10:19] mlp: initialized 18186 parameters.
[2021-03-20 01:10:19] Creating trainer with model on device: cuda
[2021-03-20 01:10:19] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:10:22] Training accuracy: 0.8232
[2021-03-20 01:10:22] Testing on 5000 data points...
[2021-03-20 01:10:22] Test score for 200 training labels: 0.8996
[2021-03-20 01:10:22] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:22] Found 5000 unlabelled features.
[2021-03-20 01:10:22] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:22] Searching for coresets greedily...
[2021-03-20 01:10:22] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:10:22] Reset parameters according to He et al.
[2021-03-20 01:10:22] mlp: initialized 18186 parameters.
[2021-03-20 01:10:22] Creating trainer with model on device: cuda
[2021-03-20 01:10:22] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:10:25] Training accuracy: 0.8467
[2021-03-20 01:10:25] Testing on 5000 data points...
[2021-03-20 01:10:25] Test score for 250 training labels: 0.8994
[2021-03-20 01:10:25] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:25] Found 5000 unlabelled features.
[2021-03-20 01:10:25] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:25] Searching for coresets greedily...
[2021-03-20 01:10:25] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:10:25] Reset parameters according to He et al.
[2021-03-20 01:10:25] mlp: initialized 18186 parameters.
[2021-03-20 01:10:25] Creating trainer with model on device: cuda
[2021-03-20 01:10:25] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:10:28] Training accuracy: 0.8609
[2021-03-20 01:10:28] Testing on 5000 data points...
[2021-03-20 01:10:28] Test score for 300 training labels: 0.8992
[2021-03-20 01:10:28] Experiment repeat 3/3
[2021-03-20 01:10:28] Seeded: 7
[2021-03-20 01:10:28] Using 1.00% labels of the dataset (50/5000)
[2021-03-20 01:10:28] Randomly labelled 50/5000
[2021-03-20 01:10:28] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:28] Seeded: 8
[2021-03-20 01:10:28] Running: experiment 0
[2021-03-20 01:10:28] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:28] Reset parameters according to He et al.
[2021-03-20 01:10:28] mlp: initialized 18186 parameters.
[2021-03-20 01:10:28] Creating trainer with model on device: cuda
[2021-03-20 01:10:28] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:10:29] Training accuracy: 0.8087
[2021-03-20 01:10:29] Testing on 5000 data points...
[2021-03-20 01:10:29] Test score for 50 training labels: 0.4552
[2021-03-20 01:10:29] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:29] Found 5000 unlabelled features.
[2021-03-20 01:10:29] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:10:29] Reset parameters according to He et al.
[2021-03-20 01:10:29] mlp: initialized 18186 parameters.
[2021-03-20 01:10:29] Creating trainer with model on device: cuda
[2021-03-20 01:10:29] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:10:30] Training accuracy: 0.8627
[2021-03-20 01:10:30] Testing on 5000 data points...
[2021-03-20 01:10:30] Test score for 100 training labels: 0.6088
[2021-03-20 01:10:30] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:30] Found 5000 unlabelled features.
[2021-03-20 01:10:30] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:10:30] Reset parameters according to He et al.
[2021-03-20 01:10:30] mlp: initialized 18186 parameters.
[2021-03-20 01:10:30] Creating trainer with model on device: cuda
[2021-03-20 01:10:30] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:10:32] Training accuracy: 0.8975
[2021-03-20 01:10:32] Testing on 5000 data points...
[2021-03-20 01:10:32] Test score for 150 training labels: 0.7820
[2021-03-20 01:10:32] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:32] Found 5000 unlabelled features.
[2021-03-20 01:10:32] Showing labelled: True (199/5000 visible, 1 redundant)
[2021-03-20 01:10:32] Reset parameters according to He et al.
[2021-03-20 01:10:32] mlp: initialized 18186 parameters.
[2021-03-20 01:10:32] Creating trainer with model on device: cuda
[2021-03-20 01:10:32] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:10:34] Training accuracy: 0.8984
[2021-03-20 01:10:34] Testing on 5000 data points...
[2021-03-20 01:10:34] Test score for 200 training labels: 0.8444
[2021-03-20 01:10:34] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:34] Found 5000 unlabelled features.
[2021-03-20 01:10:34] Showing labelled: True (246/5000 visible, 4 redundant)
[2021-03-20 01:10:34] Reset parameters according to He et al.
[2021-03-20 01:10:34] mlp: initialized 18186 parameters.
[2021-03-20 01:10:34] Creating trainer with model on device: cuda
[2021-03-20 01:10:34] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:10:37] Training accuracy: 0.9111
[2021-03-20 01:10:37] Testing on 5000 data points...
[2021-03-20 01:10:37] Test score for 250 training labels: 0.8554
[2021-03-20 01:10:37] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:37] Found 5000 unlabelled features.
[2021-03-20 01:10:37] Showing labelled: True (292/5000 visible, 8 redundant)
[2021-03-20 01:10:37] Reset parameters according to He et al.
[2021-03-20 01:10:37] mlp: initialized 18186 parameters.
[2021-03-20 01:10:37] Creating trainer with model on device: cuda
[2021-03-20 01:10:37] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:10:40] Training accuracy: 0.9163
[2021-03-20 01:10:40] Testing on 5000 data points...
[2021-03-20 01:10:40] Test score for 300 training labels: 0.8786
[2021-03-20 01:10:40] Seeded: 8
[2021-03-20 01:10:40] Running: experiment 1
[2021-03-20 01:10:40] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:40] Reset parameters according to He et al.
[2021-03-20 01:10:40] mlp: initialized 18186 parameters.
[2021-03-20 01:10:40] Creating trainer with model on device: cuda
[2021-03-20 01:10:40] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:10:41] Training accuracy: 0.8087
[2021-03-20 01:10:41] Testing on 5000 data points...
[2021-03-20 01:10:41] Test score for 50 training labels: 0.4552
[2021-03-20 01:10:41] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:41] Found 5000 unlabelled features.
[2021-03-20 01:10:41] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:10:41] Reset parameters according to He et al.
[2021-03-20 01:10:41] mlp: initialized 18186 parameters.
[2021-03-20 01:10:41] Creating trainer with model on device: cuda
[2021-03-20 01:10:41] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:10:42] Training accuracy: 0.9067
[2021-03-20 01:10:42] Testing on 5000 data points...
[2021-03-20 01:10:42] Test score for 100 training labels: 0.4750
[2021-03-20 01:10:42] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:42] Found 5000 unlabelled features.
[2021-03-20 01:10:42] Showing labelled: True (149/5000 visible, 1 redundant)
[2021-03-20 01:10:42] Reset parameters according to He et al.
[2021-03-20 01:10:42] mlp: initialized 18186 parameters.
[2021-03-20 01:10:42] Creating trainer with model on device: cuda
[2021-03-20 01:10:42] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:10:44] Training accuracy: 0.9244
[2021-03-20 01:10:44] Testing on 5000 data points...
[2021-03-20 01:10:44] Test score for 150 training labels: 0.6000
[2021-03-20 01:10:44] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:44] Found 5000 unlabelled features.
[2021-03-20 01:10:44] Showing labelled: True (191/5000 visible, 9 redundant)
[2021-03-20 01:10:44] Reset parameters according to He et al.
[2021-03-20 01:10:44] mlp: initialized 18186 parameters.
[2021-03-20 01:10:44] Creating trainer with model on device: cuda
[2021-03-20 01:10:44] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:10:46] Training accuracy: 0.8402
[2021-03-20 01:10:46] Testing on 5000 data points...
[2021-03-20 01:10:46] Test score for 200 training labels: 0.6000
[2021-03-20 01:10:46] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:46] Found 5000 unlabelled features.
[2021-03-20 01:10:46] Showing labelled: True (212/5000 visible, 38 redundant)
[2021-03-20 01:10:46] Reset parameters according to He et al.
[2021-03-20 01:10:46] mlp: initialized 18186 parameters.
[2021-03-20 01:10:46] Creating trainer with model on device: cuda
[2021-03-20 01:10:46] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:10:49] Training accuracy: 0.8377
[2021-03-20 01:10:49] Testing on 5000 data points...
[2021-03-20 01:10:49] Test score for 250 training labels: 0.6508
[2021-03-20 01:10:49] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:49] Found 5000 unlabelled features.
[2021-03-20 01:10:49] Showing labelled: True (256/5000 visible, 44 redundant)
[2021-03-20 01:10:49] Reset parameters according to He et al.
[2021-03-20 01:10:49] mlp: initialized 18186 parameters.
[2021-03-20 01:10:49] Creating trainer with model on device: cuda
[2021-03-20 01:10:49] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:10:52] Training accuracy: 0.8186
[2021-03-20 01:10:52] Testing on 5000 data points...
[2021-03-20 01:10:52] Test score for 300 training labels: 0.6472
[2021-03-20 01:10:52] Seeded: 8
[2021-03-20 01:10:52] Running: experiment 2
[2021-03-20 01:10:52] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:10:52] Reset parameters according to He et al.
[2021-03-20 01:10:52] mlp: initialized 18186 parameters.
[2021-03-20 01:10:52] Creating trainer with model on device: cuda
[2021-03-20 01:10:52] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:10:53] Training accuracy: 0.8087
[2021-03-20 01:10:53] Testing on 5000 data points...
[2021-03-20 01:10:53] Test score for 50 training labels: 0.4552
[2021-03-20 01:10:53] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:53] Found 5000 unlabelled features.
[2021-03-20 01:10:53] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:53] Searching for coresets with 20 beams...
[2021-03-20 01:10:53] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:10:53] Reset parameters according to He et al.
[2021-03-20 01:10:53] mlp: initialized 18186 parameters.
[2021-03-20 01:10:53] Creating trainer with model on device: cuda
[2021-03-20 01:10:53] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:10:54] Training accuracy: 0.7288
[2021-03-20 01:10:54] Testing on 5000 data points...
[2021-03-20 01:10:54] Test score for 100 training labels: 0.8992
[2021-03-20 01:10:54] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:54] Found 5000 unlabelled features.
[2021-03-20 01:10:54] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:55] Searching for coresets with 20 beams...
[2021-03-20 01:10:55] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:10:55] Reset parameters according to He et al.
[2021-03-20 01:10:55] mlp: initialized 18186 parameters.
[2021-03-20 01:10:55] Creating trainer with model on device: cuda
[2021-03-20 01:10:55] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:10:56] Training accuracy: 0.8098
[2021-03-20 01:10:56] Testing on 5000 data points...
[2021-03-20 01:10:56] Test score for 150 training labels: 0.8994
[2021-03-20 01:10:56] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:56] Found 5000 unlabelled features.
[2021-03-20 01:10:56] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:56] Searching for coresets with 20 beams...
[2021-03-20 01:10:57] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:10:57] Reset parameters according to He et al.
[2021-03-20 01:10:57] mlp: initialized 18186 parameters.
[2021-03-20 01:10:57] Creating trainer with model on device: cuda
[2021-03-20 01:10:57] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:10:59] Training accuracy: 0.8492
[2021-03-20 01:10:59] Testing on 5000 data points...
[2021-03-20 01:10:59] Test score for 200 training labels: 0.8994
[2021-03-20 01:10:59] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:10:59] Found 5000 unlabelled features.
[2021-03-20 01:10:59] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:10:59] Searching for coresets with 20 beams...
[2021-03-20 01:10:59] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:10:59] Reset parameters according to He et al.
[2021-03-20 01:10:59] mlp: initialized 18186 parameters.
[2021-03-20 01:10:59] Creating trainer with model on device: cuda
[2021-03-20 01:10:59] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:11:02] Training accuracy: 0.8521
[2021-03-20 01:11:02] Testing on 5000 data points...
[2021-03-20 01:11:02] Test score for 250 training labels: 0.8994
[2021-03-20 01:11:02] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:02] Found 5000 unlabelled features.
[2021-03-20 01:11:02] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:02] Searching for coresets with 20 beams...
[2021-03-20 01:11:02] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:11:02] Reset parameters according to He et al.
[2021-03-20 01:11:02] mlp: initialized 18186 parameters.
[2021-03-20 01:11:02] Creating trainer with model on device: cuda
[2021-03-20 01:11:02] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:11:06] Training accuracy: 0.8607
[2021-03-20 01:11:06] Testing on 5000 data points...
[2021-03-20 01:11:06] Test score for 300 training labels: 0.8996
[2021-03-20 01:11:06] Seeded: 8
[2021-03-20 01:11:06] Running: experiment 3
[2021-03-20 01:11:06] Showing labelled: True (50/5000 visible, 0 redundant)
[2021-03-20 01:11:06] Reset parameters according to He et al.
[2021-03-20 01:11:06] mlp: initialized 18186 parameters.
[2021-03-20 01:11:06] Creating trainer with model on device: cuda
[2021-03-20 01:11:06] Training mlp across 50 data points in blobsthin...
[2021-03-20 01:11:06] Training accuracy: 0.8087
[2021-03-20 01:11:06] Testing on 5000 data points...
[2021-03-20 01:11:06] Test score for 50 training labels: 0.4552
[2021-03-20 01:11:06] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:06] Found 5000 unlabelled features.
[2021-03-20 01:11:06] Computing distance between 50 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:06] Searching for coresets greedily...
[2021-03-20 01:11:06] Showing labelled: True (100/5000 visible, 0 redundant)
[2021-03-20 01:11:06] Reset parameters according to He et al.
[2021-03-20 01:11:06] mlp: initialized 18186 parameters.
[2021-03-20 01:11:06] Creating trainer with model on device: cuda
[2021-03-20 01:11:06] Training mlp across 100 data points in blobsthin...
[2021-03-20 01:11:07] Training accuracy: 0.7735
[2021-03-20 01:11:07] Testing on 5000 data points...
[2021-03-20 01:11:07] Test score for 100 training labels: 0.8940
[2021-03-20 01:11:07] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:07] Found 5000 unlabelled features.
[2021-03-20 01:11:08] Computing distance between 100 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:08] Searching for coresets greedily...
[2021-03-20 01:11:08] Showing labelled: True (150/5000 visible, 0 redundant)
[2021-03-20 01:11:08] Reset parameters according to He et al.
[2021-03-20 01:11:08] mlp: initialized 18186 parameters.
[2021-03-20 01:11:08] Creating trainer with model on device: cuda
[2021-03-20 01:11:08] Training mlp across 150 data points in blobsthin...
[2021-03-20 01:11:09] Training accuracy: 0.8109
[2021-03-20 01:11:09] Testing on 5000 data points...
[2021-03-20 01:11:09] Test score for 150 training labels: 0.8994
[2021-03-20 01:11:09] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:09] Found 5000 unlabelled features.
[2021-03-20 01:11:09] Computing distance between 150 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:09] Searching for coresets greedily...
[2021-03-20 01:11:09] Showing labelled: True (200/5000 visible, 0 redundant)
[2021-03-20 01:11:09] Reset parameters according to He et al.
[2021-03-20 01:11:09] mlp: initialized 18186 parameters.
[2021-03-20 01:11:09] Creating trainer with model on device: cuda
[2021-03-20 01:11:09] Training mlp across 200 data points in blobsthin...
[2021-03-20 01:11:12] Training accuracy: 0.8391
[2021-03-20 01:11:12] Testing on 5000 data points...
[2021-03-20 01:11:12] Test score for 200 training labels: 0.8994
[2021-03-20 01:11:12] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:12] Found 5000 unlabelled features.
[2021-03-20 01:11:12] Computing distance between 200 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:12] Searching for coresets greedily...
[2021-03-20 01:11:12] Showing labelled: True (250/5000 visible, 0 redundant)
[2021-03-20 01:11:12] Reset parameters according to He et al.
[2021-03-20 01:11:12] mlp: initialized 18186 parameters.
[2021-03-20 01:11:12] Creating trainer with model on device: cuda
[2021-03-20 01:11:12] Training mlp across 250 data points in blobsthin...
[2021-03-20 01:11:14] Training accuracy: 0.8495
[2021-03-20 01:11:14] Testing on 5000 data points...
[2021-03-20 01:11:15] Test score for 250 training labels: 0.8994
[2021-03-20 01:11:15] Showing labelled: False (5000/5000 visible, 0 redundant)
[2021-03-20 01:11:15] Found 5000 unlabelled features.
[2021-03-20 01:11:15] Computing distance between 250 labelled and 5000 unlabelled vectors of length 128...
[2021-03-20 01:11:15] Searching for coresets greedily...
[2021-03-20 01:11:15] Showing labelled: True (300/5000 visible, 0 redundant)
[2021-03-20 01:11:15] Reset parameters according to He et al.
[2021-03-20 01:11:15] mlp: initialized 18186 parameters.
[2021-03-20 01:11:15] Creating trainer with model on device: cuda
[2021-03-20 01:11:15] Training mlp across 300 data points in blobsthin...
[2021-03-20 01:11:18] Training accuracy: 0.8590
[2021-03-20 01:11:18] Testing on 5000 data points...
[2021-03-20 01:11:18] Test score for 300 training labels: 0.8994
[2021-03-20 01:11:18] Updated results: ../results/blobsthin/mlp/results.json
