[2021-03-16 02:04:40] Seeded: 5
[2021-03-16 02:04:40] Created experiment 0:
[2021-03-16 02:04:40]  - Model: mlp
[2021-03-16 02:04:40]  - Acquisition function: greedy-coreset
[2021-03-16 02:04:40] Created experiment 1:
[2021-03-16 02:04:40]  - Model: mlp
[2021-03-16 02:04:40]  - Acquisition function: random
[2021-03-16 02:04:40] Created experiment 2:
[2021-03-16 02:04:40]  - Model: mlp
[2021-03-16 02:04:40]  - Acquisition function: least-confidence
[2021-03-16 02:04:40] Created experiment 3:
[2021-03-16 02:04:40]  - Model: mlp
[2021-03-16 02:04:40]  - Acquisition function: max-entropy
[2021-03-16 02:04:40] Created experiment 4:
[2021-03-16 02:04:40]  - Model: mlp
[2021-03-16 02:04:40]  - Acquisition function: p-coreset
[2021-03-16 02:04:40] Loading blobsthin test set...
[2021-03-16 02:04:40] Generated 5000 blobs:
[2021-03-16 02:04:40] Class 0: 200
[2021-03-16 02:04:40] Class 1: 300
[2021-03-16 02:04:40] Class 2: 1000
[2021-03-16 02:04:40] Class 3: 100
[2021-03-16 02:04:40] Class 4: 50
[2021-03-16 02:04:40] Class 5: 200
[2021-03-16 02:04:40] Class 6: 400
[2021-03-16 02:04:40] Class 7: 1800
[2021-03-16 02:04:40] Class 8: 50
[2021-03-16 02:04:40] Class 9: 900
[2021-03-16 02:04:41] Saved figure to: ../data/blobsthin_data.png
[2021-03-16 02:04:41] Generated 5000 test points.
[2021-03-16 02:04:41] Saved figure to: ../data/blobsthin_test.png
[2021-03-16 02:04:41] Experiment repeat 1/10
[2021-03-16 02:04:41] Randomly labelled 50/5000
[2021-03-16 02:04:41] Showing labelled: True (50/5000 visible)
[2021-03-16 02:04:41] Running: experiment 0
[2021-03-16 02:04:41] Showing labelled: True (50/5000 visible)
[2021-03-16 02:04:41] mlp: initialized 1482 parameters.
[2021-03-16 02:04:41] Creating trainer with model on device: cuda
[2021-03-16 02:04:46] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:04:46] Training loss: 1.5627
[2021-03-16 02:04:46] Testing on 5000 data points...
[2021-03-16 02:04:46] Test accuracy: 0.5000
[2021-03-16 02:04:46] Score for 50 labels: 0.5000
[2021-03-16 02:04:46] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:04:46] Found 4950 unlabelled features.
[2021-03-16 02:04:46] Searching core-set greedily...
[2021-03-16 02:04:49] Showing labelled: True (75/5000 visible)
[2021-03-16 02:04:49] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:04:49] Training loss: 0.7306
[2021-03-16 02:04:49] Testing on 5000 data points...
[2021-03-16 02:04:49] Test accuracy: 0.8994
[2021-03-16 02:04:49] Score for 75 labels: 0.8994
[2021-03-16 02:04:49] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:04:49] Found 4925 unlabelled features.
[2021-03-16 02:04:50] Searching core-set greedily...
[2021-03-16 02:04:53] Showing labelled: True (100/5000 visible)
[2021-03-16 02:04:53] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:04:53] Training loss: 0.3879
[2021-03-16 02:04:53] Testing on 5000 data points...
[2021-03-16 02:04:53] Test accuracy: 0.8992
[2021-03-16 02:04:53] Score for 100 labels: 0.8992
[2021-03-16 02:04:53] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:04:53] Found 4900 unlabelled features.
[2021-03-16 02:04:53] Searching core-set greedily...
[2021-03-16 02:04:56] Showing labelled: True (125/5000 visible)
[2021-03-16 02:04:56] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:04:57] Training loss: 0.2551
[2021-03-16 02:04:57] Testing on 5000 data points...
[2021-03-16 02:04:57] Test accuracy: 0.9210
[2021-03-16 02:04:57] Score for 125 labels: 0.9210
[2021-03-16 02:04:57] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:04:57] Found 4875 unlabelled features.
[2021-03-16 02:04:57] Searching core-set greedily...
[2021-03-16 02:05:00] Showing labelled: True (150/5000 visible)
[2021-03-16 02:05:00] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:05:01] Training loss: 0.1646
[2021-03-16 02:05:01] Testing on 5000 data points...
[2021-03-16 02:05:01] Test accuracy: 0.9868
[2021-03-16 02:05:01] Score for 150 labels: 0.9868
[2021-03-16 02:05:01] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:05:01] Found 4850 unlabelled features.
[2021-03-16 02:05:01] Searching core-set greedily...
[2021-03-16 02:05:06] Showing labelled: True (175/5000 visible)
[2021-03-16 02:05:06] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:05:07] Training loss: 0.1135
[2021-03-16 02:05:07] Testing on 5000 data points...
[2021-03-16 02:05:07] Test accuracy: 0.9966
[2021-03-16 02:05:07] Score for 175 labels: 0.9966
[2021-03-16 02:05:07] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:05:07] Found 4825 unlabelled features.
[2021-03-16 02:05:07] Searching core-set greedily...
[2021-03-16 02:05:11] Showing labelled: True (200/5000 visible)
[2021-03-16 02:05:11] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:05:12] Training loss: 0.0764
[2021-03-16 02:05:12] Testing on 5000 data points...
[2021-03-16 02:05:12] Test accuracy: 0.9972
[2021-03-16 02:05:12] Score for 200 labels: 0.9972
[2021-03-16 02:05:12] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:05:12] Found 4800 unlabelled features.
[2021-03-16 02:05:12] Searching core-set greedily...
[2021-03-16 02:05:16] Showing labelled: True (225/5000 visible)
[2021-03-16 02:05:16] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:05:17] Training loss: 0.0544
[2021-03-16 02:05:17] Testing on 5000 data points...
[2021-03-16 02:05:17] Test accuracy: 0.9972
[2021-03-16 02:05:17] Score for 225 labels: 0.9972
[2021-03-16 02:05:17] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:05:17] Found 4775 unlabelled features.
[2021-03-16 02:05:17] Searching core-set greedily...
[2021-03-16 02:05:22] Showing labelled: True (250/5000 visible)
[2021-03-16 02:05:22] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:05:23] Training loss: 0.0404
[2021-03-16 02:05:23] Testing on 5000 data points...
[2021-03-16 02:05:24] Test accuracy: 0.9974
[2021-03-16 02:05:24] Score for 250 labels: 0.9974
[2021-03-16 02:05:24] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:05:24] Found 4750 unlabelled features.
[2021-03-16 02:05:24] Searching core-set greedily...
[2021-03-16 02:05:30] Showing labelled: True (275/5000 visible)
[2021-03-16 02:05:30] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:05:31] Training loss: 0.0311
[2021-03-16 02:05:31] Testing on 5000 data points...
[2021-03-16 02:05:31] Test accuracy: 0.9974
[2021-03-16 02:05:31] Score for 275 labels: 0.9974
[2021-03-16 02:05:31] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:05:31] Found 4725 unlabelled features.
[2021-03-16 02:05:31] Searching core-set greedily...
[2021-03-16 02:05:36] Showing labelled: True (300/5000 visible)
[2021-03-16 02:05:36] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:05:37] Training loss: 0.0248
[2021-03-16 02:05:37] Testing on 5000 data points...
[2021-03-16 02:05:37] Test accuracy: 0.9974
[2021-03-16 02:05:37] Score for 300 labels: 0.9974
[2021-03-16 02:05:37] Running: experiment 1
[2021-03-16 02:05:37] Showing labelled: True (50/5000 visible)
[2021-03-16 02:05:37] mlp: initialized 1482 parameters.
[2021-03-16 02:05:37] Creating trainer with model on device: cuda
[2021-03-16 02:05:37] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:05:38] Training loss: 1.5609
[2021-03-16 02:05:38] Testing on 5000 data points...
[2021-03-16 02:05:38] Test accuracy: 0.5000
[2021-03-16 02:05:38] Score for 50 labels: 0.5000
[2021-03-16 02:05:38] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:05:38] Found 4950 unlabelled features.
[2021-03-16 02:05:38] Showing labelled: True (75/5000 visible)
[2021-03-16 02:05:38] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:05:38] Training loss: 0.6073
[2021-03-16 02:05:38] Testing on 5000 data points...
[2021-03-16 02:05:38] Test accuracy: 0.7000
[2021-03-16 02:05:38] Score for 75 labels: 0.7000
[2021-03-16 02:05:38] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:05:38] Found 4925 unlabelled features.
[2021-03-16 02:05:38] Showing labelled: True (100/5000 visible)
[2021-03-16 02:05:38] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:05:39] Training loss: 0.3200
[2021-03-16 02:05:39] Testing on 5000 data points...
[2021-03-16 02:05:39] Test accuracy: 0.7710
[2021-03-16 02:05:39] Score for 100 labels: 0.7710
[2021-03-16 02:05:39] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:05:39] Found 4900 unlabelled features.
[2021-03-16 02:05:39] Showing labelled: True (125/5000 visible)
[2021-03-16 02:05:39] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:05:40] Training loss: 0.1881
[2021-03-16 02:05:40] Testing on 5000 data points...
[2021-03-16 02:05:40] Test accuracy: 0.9482
[2021-03-16 02:05:40] Score for 125 labels: 0.9482
[2021-03-16 02:05:40] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:05:40] Found 4875 unlabelled features.
[2021-03-16 02:05:40] Showing labelled: True (150/5000 visible)
[2021-03-16 02:05:40] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:05:40] Training loss: 0.1101
[2021-03-16 02:05:40] Testing on 5000 data points...
[2021-03-16 02:05:40] Test accuracy: 0.9836
[2021-03-16 02:05:40] Score for 150 labels: 0.9836
[2021-03-16 02:05:40] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:05:40] Found 4850 unlabelled features.
[2021-03-16 02:05:40] Showing labelled: True (175/5000 visible)
[2021-03-16 02:05:40] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:05:41] Training loss: 0.0699
[2021-03-16 02:05:41] Testing on 5000 data points...
[2021-03-16 02:05:41] Test accuracy: 0.9896
[2021-03-16 02:05:41] Score for 175 labels: 0.9896
[2021-03-16 02:05:41] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:05:41] Found 4825 unlabelled features.
[2021-03-16 02:05:41] Showing labelled: True (200/5000 visible)
[2021-03-16 02:05:41] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:05:42] Training loss: 0.0472
[2021-03-16 02:05:42] Testing on 5000 data points...
[2021-03-16 02:05:43] Test accuracy: 0.9920
[2021-03-16 02:05:43] Score for 200 labels: 0.9920
[2021-03-16 02:05:43] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:05:43] Found 4800 unlabelled features.
[2021-03-16 02:05:43] Showing labelled: True (225/5000 visible)
[2021-03-16 02:05:43] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:05:44] Training loss: 0.0338
[2021-03-16 02:05:44] Testing on 5000 data points...
[2021-03-16 02:05:44] Test accuracy: 0.9936
[2021-03-16 02:05:44] Score for 225 labels: 0.9936
[2021-03-16 02:05:44] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:05:44] Found 4775 unlabelled features.
[2021-03-16 02:05:44] Showing labelled: True (250/5000 visible)
[2021-03-16 02:05:44] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:05:45] Training loss: 0.0258
[2021-03-16 02:05:45] Testing on 5000 data points...
[2021-03-16 02:05:45] Test accuracy: 0.9948
[2021-03-16 02:05:45] Score for 250 labels: 0.9948
[2021-03-16 02:05:45] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:05:45] Found 4750 unlabelled features.
[2021-03-16 02:05:45] Showing labelled: True (275/5000 visible)
[2021-03-16 02:05:45] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:05:47] Training loss: 0.0203
[2021-03-16 02:05:47] Testing on 5000 data points...
[2021-03-16 02:05:47] Test accuracy: 0.9962
[2021-03-16 02:05:47] Score for 275 labels: 0.9962
[2021-03-16 02:05:47] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:05:47] Found 4725 unlabelled features.
[2021-03-16 02:05:47] Showing labelled: True (300/5000 visible)
[2021-03-16 02:05:47] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:05:48] Training loss: 0.0154
[2021-03-16 02:05:48] Testing on 5000 data points...
[2021-03-16 02:05:48] Test accuracy: 0.9962
[2021-03-16 02:05:48] Score for 300 labels: 0.9962
[2021-03-16 02:05:48] Running: experiment 2
[2021-03-16 02:05:48] Showing labelled: True (50/5000 visible)
[2021-03-16 02:05:48] mlp: initialized 1482 parameters.
[2021-03-16 02:05:48] Creating trainer with model on device: cuda
[2021-03-16 02:05:48] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:05:48] Training loss: 1.5098
[2021-03-16 02:05:48] Testing on 5000 data points...
[2021-03-16 02:05:49] Test accuracy: 0.5000
[2021-03-16 02:05:49] Score for 50 labels: 0.5000
[2021-03-16 02:05:49] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:05:49] Found 4950 unlabelled features.
[2021-03-16 02:05:49] Showing labelled: True (75/5000 visible)
[2021-03-16 02:05:49] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:05:49] Training loss: 0.6314
[2021-03-16 02:05:49] Testing on 5000 data points...
[2021-03-16 02:05:49] Test accuracy: 0.5882
[2021-03-16 02:05:49] Score for 75 labels: 0.5882
[2021-03-16 02:05:49] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:05:49] Found 4925 unlabelled features.
[2021-03-16 02:05:49] Showing labelled: True (100/5000 visible)
[2021-03-16 02:05:49] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:05:50] Training loss: 0.2774
[2021-03-16 02:05:50] Testing on 5000 data points...
[2021-03-16 02:05:50] Test accuracy: 0.6858
[2021-03-16 02:05:50] Score for 100 labels: 0.6858
[2021-03-16 02:05:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:05:50] Found 4900 unlabelled features.
[2021-03-16 02:05:50] Showing labelled: True (125/5000 visible)
[2021-03-16 02:05:50] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:05:51] Training loss: 0.1693
[2021-03-16 02:05:51] Testing on 5000 data points...
[2021-03-16 02:05:51] Test accuracy: 0.7012
[2021-03-16 02:05:51] Score for 125 labels: 0.7012
[2021-03-16 02:05:51] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:05:51] Found 4875 unlabelled features.
[2021-03-16 02:05:51] Showing labelled: True (150/5000 visible)
[2021-03-16 02:05:51] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:05:51] Training loss: 0.1312
[2021-03-16 02:05:51] Testing on 5000 data points...
[2021-03-16 02:05:51] Test accuracy: 0.7898
[2021-03-16 02:05:51] Score for 150 labels: 0.7898
[2021-03-16 02:05:51] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:05:51] Found 4850 unlabelled features.
[2021-03-16 02:05:51] Showing labelled: True (175/5000 visible)
[2021-03-16 02:05:51] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:05:52] Training loss: 0.0922
[2021-03-16 02:05:52] Testing on 5000 data points...
[2021-03-16 02:05:52] Test accuracy: 0.7972
[2021-03-16 02:05:52] Score for 175 labels: 0.7972
[2021-03-16 02:05:52] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:05:52] Found 4825 unlabelled features.
[2021-03-16 02:05:52] Showing labelled: True (200/5000 visible)
[2021-03-16 02:05:52] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:05:53] Training loss: 0.1089
[2021-03-16 02:05:53] Testing on 5000 data points...
[2021-03-16 02:05:54] Test accuracy: 0.7976
[2021-03-16 02:05:54] Score for 200 labels: 0.7976
[2021-03-16 02:05:54] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:05:54] Found 4800 unlabelled features.
[2021-03-16 02:05:54] Showing labelled: True (225/5000 visible)
[2021-03-16 02:05:54] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:05:55] Training loss: 0.0861
[2021-03-16 02:05:55] Testing on 5000 data points...
[2021-03-16 02:05:55] Test accuracy: 0.8988
[2021-03-16 02:05:55] Score for 225 labels: 0.8988
[2021-03-16 02:05:55] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:05:55] Found 4775 unlabelled features.
[2021-03-16 02:05:55] Showing labelled: True (250/5000 visible)
[2021-03-16 02:05:55] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:05:56] Training loss: 0.0626
[2021-03-16 02:05:56] Testing on 5000 data points...
[2021-03-16 02:05:56] Test accuracy: 0.8982
[2021-03-16 02:05:56] Score for 250 labels: 0.8982
[2021-03-16 02:05:56] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:05:56] Found 4750 unlabelled features.
[2021-03-16 02:05:56] Showing labelled: True (275/5000 visible)
[2021-03-16 02:05:56] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:05:58] Training loss: 0.0472
[2021-03-16 02:05:58] Testing on 5000 data points...
[2021-03-16 02:05:58] Test accuracy: 0.8976
[2021-03-16 02:05:58] Score for 275 labels: 0.8976
[2021-03-16 02:05:58] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:05:58] Found 4725 unlabelled features.
[2021-03-16 02:05:58] Showing labelled: True (300/5000 visible)
[2021-03-16 02:05:58] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:05:59] Training loss: 0.0346
[2021-03-16 02:05:59] Testing on 5000 data points...
[2021-03-16 02:05:59] Test accuracy: 0.8986
[2021-03-16 02:05:59] Score for 300 labels: 0.8986
[2021-03-16 02:05:59] Running: experiment 3
[2021-03-16 02:05:59] Showing labelled: True (50/5000 visible)
[2021-03-16 02:05:59] mlp: initialized 1482 parameters.
[2021-03-16 02:05:59] Creating trainer with model on device: cuda
[2021-03-16 02:05:59] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:06:00] Training loss: 1.4747
[2021-03-16 02:06:00] Testing on 5000 data points...
[2021-03-16 02:06:00] Test accuracy: 0.5000
[2021-03-16 02:06:00] Score for 50 labels: 0.5000
[2021-03-16 02:06:00] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:06:00] Found 4950 unlabelled features.
[2021-03-16 02:06:00] Showing labelled: True (75/5000 visible)
[2021-03-16 02:06:00] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:06:00] Training loss: 0.4904
[2021-03-16 02:06:00] Testing on 5000 data points...
[2021-03-16 02:06:00] Test accuracy: 0.7488
[2021-03-16 02:06:00] Score for 75 labels: 0.7488
[2021-03-16 02:06:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:06:00] Found 4925 unlabelled features.
[2021-03-16 02:06:00] Showing labelled: True (100/5000 visible)
[2021-03-16 02:06:00] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:06:01] Training loss: 0.2936
[2021-03-16 02:06:01] Testing on 5000 data points...
[2021-03-16 02:06:01] Test accuracy: 0.7884
[2021-03-16 02:06:01] Score for 100 labels: 0.7884
[2021-03-16 02:06:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:06:01] Found 4900 unlabelled features.
[2021-03-16 02:06:01] Showing labelled: True (125/5000 visible)
[2021-03-16 02:06:01] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:06:02] Training loss: 0.1677
[2021-03-16 02:06:02] Testing on 5000 data points...
[2021-03-16 02:06:02] Test accuracy: 0.7942
[2021-03-16 02:06:02] Score for 125 labels: 0.7942
[2021-03-16 02:06:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:06:02] Found 4875 unlabelled features.
[2021-03-16 02:06:02] Showing labelled: True (150/5000 visible)
[2021-03-16 02:06:02] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:06:02] Training loss: 0.1487
[2021-03-16 02:06:02] Testing on 5000 data points...
[2021-03-16 02:06:03] Test accuracy: 0.8922
[2021-03-16 02:06:03] Score for 150 labels: 0.8922
[2021-03-16 02:06:03] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:06:03] Found 4850 unlabelled features.
[2021-03-16 02:06:03] Showing labelled: True (175/5000 visible)
[2021-03-16 02:06:03] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:06:03] Training loss: 0.0899
[2021-03-16 02:06:03] Testing on 5000 data points...
[2021-03-16 02:06:04] Test accuracy: 0.8950
[2021-03-16 02:06:04] Score for 175 labels: 0.8950
[2021-03-16 02:06:04] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:06:04] Found 4825 unlabelled features.
[2021-03-16 02:06:04] Showing labelled: True (200/5000 visible)
[2021-03-16 02:06:04] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:06:05] Training loss: 0.0881
[2021-03-16 02:06:05] Testing on 5000 data points...
[2021-03-16 02:06:05] Test accuracy: 0.8944
[2021-03-16 02:06:05] Score for 200 labels: 0.8944
[2021-03-16 02:06:05] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:06:05] Found 4800 unlabelled features.
[2021-03-16 02:06:05] Showing labelled: True (225/5000 visible)
[2021-03-16 02:06:05] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:06:06] Training loss: 0.0786
[2021-03-16 02:06:06] Testing on 5000 data points...
[2021-03-16 02:06:06] Test accuracy: 0.8962
[2021-03-16 02:06:06] Score for 225 labels: 0.8962
[2021-03-16 02:06:06] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:06:06] Found 4775 unlabelled features.
[2021-03-16 02:06:06] Showing labelled: True (250/5000 visible)
[2021-03-16 02:06:06] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:06:08] Training loss: 0.0733
[2021-03-16 02:06:08] Testing on 5000 data points...
[2021-03-16 02:06:08] Test accuracy: 0.8974
[2021-03-16 02:06:08] Score for 250 labels: 0.8974
[2021-03-16 02:06:08] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:06:08] Found 4750 unlabelled features.
[2021-03-16 02:06:08] Showing labelled: True (275/5000 visible)
[2021-03-16 02:06:08] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:06:09] Training loss: 0.0597
[2021-03-16 02:06:09] Testing on 5000 data points...
[2021-03-16 02:06:09] Test accuracy: 0.8986
[2021-03-16 02:06:09] Score for 275 labels: 0.8986
[2021-03-16 02:06:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:06:09] Found 4725 unlabelled features.
[2021-03-16 02:06:09] Showing labelled: True (300/5000 visible)
[2021-03-16 02:06:09] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:06:11] Training loss: 0.0406
[2021-03-16 02:06:11] Testing on 5000 data points...
[2021-03-16 02:06:11] Test accuracy: 0.8974
[2021-03-16 02:06:11] Score for 300 labels: 0.8974
[2021-03-16 02:06:11] Running: experiment 4
[2021-03-16 02:06:11] Showing labelled: True (50/5000 visible)
[2021-03-16 02:06:11] mlp: initialized 1482 parameters.
[2021-03-16 02:06:11] Creating trainer with model on device: cuda
[2021-03-16 02:06:11] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:06:11] Training loss: 1.4597
[2021-03-16 02:06:11] Testing on 5000 data points...
[2021-03-16 02:06:11] Test accuracy: 0.5000
[2021-03-16 02:06:11] Score for 50 labels: 0.5000
[2021-03-16 02:06:11] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:06:11] Found 4950 unlabelled features.
[2021-03-16 02:06:11] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:11] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:12] Scoring random batches...
[2021-03-16 02:06:12] Showing labelled: True (75/5000 visible)
[2021-03-16 02:06:12] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:06:12] Training loss: 0.5450
[2021-03-16 02:06:12] Testing on 5000 data points...
[2021-03-16 02:06:12] Test accuracy: 0.6620
[2021-03-16 02:06:12] Score for 75 labels: 0.6620
[2021-03-16 02:06:12] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:06:12] Found 4925 unlabelled features.
[2021-03-16 02:06:12] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:13] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:13] Scoring random batches...
[2021-03-16 02:06:13] Showing labelled: True (100/5000 visible)
[2021-03-16 02:06:13] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:06:13] Training loss: 0.3506
[2021-03-16 02:06:13] Testing on 5000 data points...
[2021-03-16 02:06:13] Test accuracy: 0.7770
[2021-03-16 02:06:13] Score for 100 labels: 0.7770
[2021-03-16 02:06:13] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:06:13] Found 4900 unlabelled features.
[2021-03-16 02:06:13] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:14] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:14] Scoring random batches...
[2021-03-16 02:06:14] Showing labelled: True (125/5000 visible)
[2021-03-16 02:06:14] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:06:15] Training loss: 0.1771
[2021-03-16 02:06:15] Testing on 5000 data points...
[2021-03-16 02:06:15] Test accuracy: 0.7952
[2021-03-16 02:06:15] Score for 125 labels: 0.7952
[2021-03-16 02:06:15] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:06:15] Found 4875 unlabelled features.
[2021-03-16 02:06:15] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:15] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:15] Scoring random batches...
[2021-03-16 02:06:15] Showing labelled: True (150/5000 visible)
[2021-03-16 02:06:15] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:06:16] Training loss: 0.1158
[2021-03-16 02:06:16] Testing on 5000 data points...
[2021-03-16 02:06:16] Test accuracy: 0.8292
[2021-03-16 02:06:16] Score for 150 labels: 0.8292
[2021-03-16 02:06:16] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:06:16] Found 4850 unlabelled features.
[2021-03-16 02:06:16] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:16] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:17] Scoring random batches...
[2021-03-16 02:06:17] Showing labelled: True (175/5000 visible)
[2021-03-16 02:06:17] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:06:18] Training loss: 0.0807
[2021-03-16 02:06:18] Testing on 5000 data points...
[2021-03-16 02:06:18] Test accuracy: 0.8796
[2021-03-16 02:06:18] Score for 175 labels: 0.8796
[2021-03-16 02:06:18] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:06:18] Found 4825 unlabelled features.
[2021-03-16 02:06:18] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:18] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:18] Scoring random batches...
[2021-03-16 02:06:18] Showing labelled: True (200/5000 visible)
[2021-03-16 02:06:18] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:06:19] Training loss: 0.0692
[2021-03-16 02:06:19] Testing on 5000 data points...
[2021-03-16 02:06:19] Test accuracy: 0.8916
[2021-03-16 02:06:19] Score for 200 labels: 0.8916
[2021-03-16 02:06:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:06:19] Found 4800 unlabelled features.
[2021-03-16 02:06:19] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:20] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:20] Scoring random batches...
[2021-03-16 02:06:20] Showing labelled: True (225/5000 visible)
[2021-03-16 02:06:20] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:06:21] Training loss: 0.0376
[2021-03-16 02:06:21] Testing on 5000 data points...
[2021-03-16 02:06:21] Test accuracy: 0.9940
[2021-03-16 02:06:21] Score for 225 labels: 0.9940
[2021-03-16 02:06:21] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:06:21] Found 4775 unlabelled features.
[2021-03-16 02:06:21] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:22] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:22] Scoring random batches...
[2021-03-16 02:06:22] Showing labelled: True (250/5000 visible)
[2021-03-16 02:06:22] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:06:23] Training loss: 0.0245
[2021-03-16 02:06:23] Testing on 5000 data points...
[2021-03-16 02:06:23] Test accuracy: 0.9944
[2021-03-16 02:06:23] Score for 250 labels: 0.9944
[2021-03-16 02:06:23] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:06:23] Found 4750 unlabelled features.
[2021-03-16 02:06:23] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:24] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:24] Scoring random batches...
[2021-03-16 02:06:24] Showing labelled: True (275/5000 visible)
[2021-03-16 02:06:24] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:06:26] Training loss: 0.0189
[2021-03-16 02:06:26] Testing on 5000 data points...
[2021-03-16 02:06:26] Test accuracy: 0.9950
[2021-03-16 02:06:26] Score for 275 labels: 0.9950
[2021-03-16 02:06:26] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:06:26] Found 4725 unlabelled features.
[2021-03-16 02:06:26] Training GMM (k=50) on labelled features...
[2021-03-16 02:06:26] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:06:27] Scoring random batches...
[2021-03-16 02:06:27] Showing labelled: True (300/5000 visible)
[2021-03-16 02:06:27] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:06:28] Training loss: 0.0152
[2021-03-16 02:06:28] Testing on 5000 data points...
[2021-03-16 02:06:28] Test accuracy: 0.9962
[2021-03-16 02:06:28] Score for 300 labels: 0.9962
[2021-03-16 02:06:28] Experiment repeat 2/10
[2021-03-16 02:06:28] Randomly labelled 50/5000
[2021-03-16 02:06:28] Showing labelled: True (50/5000 visible)
[2021-03-16 02:06:28] Running: experiment 0
[2021-03-16 02:06:28] Showing labelled: True (50/5000 visible)
[2021-03-16 02:06:28] mlp: initialized 1482 parameters.
[2021-03-16 02:06:28] Creating trainer with model on device: cuda
[2021-03-16 02:06:28] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:06:29] Training loss: 1.1958
[2021-03-16 02:06:29] Testing on 5000 data points...
[2021-03-16 02:06:29] Test accuracy: 0.3980
[2021-03-16 02:06:29] Score for 50 labels: 0.3980
[2021-03-16 02:06:29] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:06:29] Found 4950 unlabelled features.
[2021-03-16 02:06:29] Searching core-set greedily...
[2021-03-16 02:06:32] Showing labelled: True (75/5000 visible)
[2021-03-16 02:06:32] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:06:33] Training loss: 0.7248
[2021-03-16 02:06:33] Testing on 5000 data points...
[2021-03-16 02:06:33] Test accuracy: 0.8948
[2021-03-16 02:06:33] Score for 75 labels: 0.8948
[2021-03-16 02:06:33] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:06:33] Found 4925 unlabelled features.
[2021-03-16 02:06:33] Searching core-set greedily...
[2021-03-16 02:06:35] Showing labelled: True (100/5000 visible)
[2021-03-16 02:06:35] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:06:36] Training loss: 0.3918
[2021-03-16 02:06:36] Testing on 5000 data points...
[2021-03-16 02:06:36] Test accuracy: 0.8986
[2021-03-16 02:06:36] Score for 100 labels: 0.8986
[2021-03-16 02:06:36] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:06:36] Found 4900 unlabelled features.
[2021-03-16 02:06:36] Searching core-set greedily...
[2021-03-16 02:06:38] Showing labelled: True (125/5000 visible)
[2021-03-16 02:06:38] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:06:39] Training loss: 0.2330
[2021-03-16 02:06:39] Testing on 5000 data points...
[2021-03-16 02:06:39] Test accuracy: 0.9862
[2021-03-16 02:06:39] Score for 125 labels: 0.9862
[2021-03-16 02:06:39] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:06:39] Found 4875 unlabelled features.
[2021-03-16 02:06:39] Searching core-set greedily...
[2021-03-16 02:06:42] Showing labelled: True (150/5000 visible)
[2021-03-16 02:06:42] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:06:42] Training loss: 0.1593
[2021-03-16 02:06:42] Testing on 5000 data points...
[2021-03-16 02:06:43] Test accuracy: 0.9944
[2021-03-16 02:06:43] Score for 150 labels: 0.9944
[2021-03-16 02:06:43] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:06:43] Found 4850 unlabelled features.
[2021-03-16 02:06:43] Searching core-set greedily...
[2021-03-16 02:06:47] Showing labelled: True (175/5000 visible)
[2021-03-16 02:06:47] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:06:48] Training loss: 0.1141
[2021-03-16 02:06:48] Testing on 5000 data points...
[2021-03-16 02:06:48] Test accuracy: 0.9966
[2021-03-16 02:06:48] Score for 175 labels: 0.9966
[2021-03-16 02:06:48] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:06:48] Found 4825 unlabelled features.
[2021-03-16 02:06:48] Searching core-set greedily...
[2021-03-16 02:06:52] Showing labelled: True (200/5000 visible)
[2021-03-16 02:06:52] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:06:53] Training loss: 0.0828
[2021-03-16 02:06:53] Testing on 5000 data points...
[2021-03-16 02:06:53] Test accuracy: 0.9982
[2021-03-16 02:06:53] Score for 200 labels: 0.9982
[2021-03-16 02:06:53] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:06:53] Found 4800 unlabelled features.
[2021-03-16 02:06:53] Searching core-set greedily...
[2021-03-16 02:06:57] Showing labelled: True (225/5000 visible)
[2021-03-16 02:06:57] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:06:58] Training loss: 0.0605
[2021-03-16 02:06:58] Testing on 5000 data points...
[2021-03-16 02:06:58] Test accuracy: 0.9984
[2021-03-16 02:06:58] Score for 225 labels: 0.9984
[2021-03-16 02:06:58] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:06:58] Found 4775 unlabelled features.
[2021-03-16 02:06:58] Searching core-set greedily...
[2021-03-16 02:07:02] Showing labelled: True (250/5000 visible)
[2021-03-16 02:07:02] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:07:03] Training loss: 0.0523
[2021-03-16 02:07:03] Testing on 5000 data points...
[2021-03-16 02:07:03] Test accuracy: 0.9982
[2021-03-16 02:07:03] Score for 250 labels: 0.9982
[2021-03-16 02:07:03] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:07:03] Found 4750 unlabelled features.
[2021-03-16 02:07:03] Searching core-set greedily...
[2021-03-16 02:07:08] Showing labelled: True (275/5000 visible)
[2021-03-16 02:07:08] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:07:09] Training loss: 0.0425
[2021-03-16 02:07:09] Testing on 5000 data points...
[2021-03-16 02:07:09] Test accuracy: 0.9984
[2021-03-16 02:07:09] Score for 275 labels: 0.9984
[2021-03-16 02:07:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:07:09] Found 4725 unlabelled features.
[2021-03-16 02:07:09] Searching core-set greedily...
[2021-03-16 02:07:13] Showing labelled: True (300/5000 visible)
[2021-03-16 02:07:13] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:07:15] Training loss: 0.0340
[2021-03-16 02:07:15] Testing on 5000 data points...
[2021-03-16 02:07:15] Test accuracy: 0.9984
[2021-03-16 02:07:15] Score for 300 labels: 0.9984
[2021-03-16 02:07:15] Running: experiment 1
[2021-03-16 02:07:15] Showing labelled: True (50/5000 visible)
[2021-03-16 02:07:15] mlp: initialized 1482 parameters.
[2021-03-16 02:07:15] Creating trainer with model on device: cuda
[2021-03-16 02:07:15] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:07:15] Training loss: 1.0945
[2021-03-16 02:07:15] Testing on 5000 data points...
[2021-03-16 02:07:15] Test accuracy: 0.3980
[2021-03-16 02:07:15] Score for 50 labels: 0.3980
[2021-03-16 02:07:15] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:07:15] Found 4950 unlabelled features.
[2021-03-16 02:07:15] Showing labelled: True (75/5000 visible)
[2021-03-16 02:07:15] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:07:16] Training loss: 0.5256
[2021-03-16 02:07:16] Testing on 5000 data points...
[2021-03-16 02:07:16] Test accuracy: 0.6336
[2021-03-16 02:07:16] Score for 75 labels: 0.6336
[2021-03-16 02:07:16] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:07:16] Found 4925 unlabelled features.
[2021-03-16 02:07:16] Showing labelled: True (100/5000 visible)
[2021-03-16 02:07:16] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:07:16] Training loss: 0.3499
[2021-03-16 02:07:16] Testing on 5000 data points...
[2021-03-16 02:07:16] Test accuracy: 0.7800
[2021-03-16 02:07:16] Score for 100 labels: 0.7800
[2021-03-16 02:07:16] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:07:16] Found 4900 unlabelled features.
[2021-03-16 02:07:16] Showing labelled: True (125/5000 visible)
[2021-03-16 02:07:16] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:07:17] Training loss: 0.1870
[2021-03-16 02:07:17] Testing on 5000 data points...
[2021-03-16 02:07:17] Test accuracy: 0.7976
[2021-03-16 02:07:17] Score for 125 labels: 0.7976
[2021-03-16 02:07:17] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:07:17] Found 4875 unlabelled features.
[2021-03-16 02:07:17] Showing labelled: True (150/5000 visible)
[2021-03-16 02:07:17] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:07:18] Training loss: 0.1191
[2021-03-16 02:07:18] Testing on 5000 data points...
[2021-03-16 02:07:18] Test accuracy: 0.7994
[2021-03-16 02:07:18] Score for 150 labels: 0.7994
[2021-03-16 02:07:18] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:07:18] Found 4850 unlabelled features.
[2021-03-16 02:07:18] Showing labelled: True (175/5000 visible)
[2021-03-16 02:07:18] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:07:19] Training loss: 0.0823
[2021-03-16 02:07:19] Testing on 5000 data points...
[2021-03-16 02:07:19] Test accuracy: 0.8456
[2021-03-16 02:07:19] Score for 175 labels: 0.8456
[2021-03-16 02:07:19] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:07:19] Found 4825 unlabelled features.
[2021-03-16 02:07:19] Showing labelled: True (200/5000 visible)
[2021-03-16 02:07:19] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:07:20] Training loss: 0.0541
[2021-03-16 02:07:20] Testing on 5000 data points...
[2021-03-16 02:07:20] Test accuracy: 0.8630
[2021-03-16 02:07:20] Score for 200 labels: 0.8630
[2021-03-16 02:07:20] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:07:20] Found 4800 unlabelled features.
[2021-03-16 02:07:20] Showing labelled: True (225/5000 visible)
[2021-03-16 02:07:20] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:07:21] Training loss: 0.0382
[2021-03-16 02:07:21] Testing on 5000 data points...
[2021-03-16 02:07:21] Test accuracy: 0.8846
[2021-03-16 02:07:21] Score for 225 labels: 0.8846
[2021-03-16 02:07:21] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:07:21] Found 4775 unlabelled features.
[2021-03-16 02:07:21] Showing labelled: True (250/5000 visible)
[2021-03-16 02:07:21] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:07:22] Training loss: 0.0266
[2021-03-16 02:07:22] Testing on 5000 data points...
[2021-03-16 02:07:22] Test accuracy: 0.8922
[2021-03-16 02:07:22] Score for 250 labels: 0.8922
[2021-03-16 02:07:22] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:07:22] Found 4750 unlabelled features.
[2021-03-16 02:07:22] Showing labelled: True (275/5000 visible)
[2021-03-16 02:07:22] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:07:24] Training loss: 0.0182
[2021-03-16 02:07:24] Testing on 5000 data points...
[2021-03-16 02:07:24] Test accuracy: 0.8934
[2021-03-16 02:07:24] Score for 275 labels: 0.8934
[2021-03-16 02:07:24] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:07:24] Found 4725 unlabelled features.
[2021-03-16 02:07:24] Showing labelled: True (300/5000 visible)
[2021-03-16 02:07:24] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:07:25] Training loss: 0.0126
[2021-03-16 02:07:25] Testing on 5000 data points...
[2021-03-16 02:07:25] Test accuracy: 0.8944
[2021-03-16 02:07:25] Score for 300 labels: 0.8944
[2021-03-16 02:07:25] Running: experiment 2
[2021-03-16 02:07:25] Showing labelled: True (50/5000 visible)
[2021-03-16 02:07:25] mlp: initialized 1482 parameters.
[2021-03-16 02:07:25] Creating trainer with model on device: cuda
[2021-03-16 02:07:25] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:07:26] Training loss: 1.0954
[2021-03-16 02:07:26] Testing on 5000 data points...
[2021-03-16 02:07:26] Test accuracy: 0.4000
[2021-03-16 02:07:26] Score for 50 labels: 0.4000
[2021-03-16 02:07:26] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:07:26] Found 4950 unlabelled features.
[2021-03-16 02:07:26] Showing labelled: True (75/5000 visible)
[2021-03-16 02:07:26] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:07:26] Training loss: 0.3353
[2021-03-16 02:07:26] Testing on 5000 data points...
[2021-03-16 02:07:26] Test accuracy: 0.6376
[2021-03-16 02:07:26] Score for 75 labels: 0.6376
[2021-03-16 02:07:26] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:07:26] Found 4925 unlabelled features.
[2021-03-16 02:07:26] Showing labelled: True (100/5000 visible)
[2021-03-16 02:07:26] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:07:27] Training loss: 0.2896
[2021-03-16 02:07:27] Testing on 5000 data points...
[2021-03-16 02:07:27] Test accuracy: 0.7736
[2021-03-16 02:07:27] Score for 100 labels: 0.7736
[2021-03-16 02:07:27] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:07:27] Found 4900 unlabelled features.
[2021-03-16 02:07:27] Showing labelled: True (125/5000 visible)
[2021-03-16 02:07:27] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:07:28] Training loss: 0.1161
[2021-03-16 02:07:28] Testing on 5000 data points...
[2021-03-16 02:07:28] Test accuracy: 0.7946
[2021-03-16 02:07:28] Score for 125 labels: 0.7946
[2021-03-16 02:07:28] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:07:28] Found 4875 unlabelled features.
[2021-03-16 02:07:28] Showing labelled: True (150/5000 visible)
[2021-03-16 02:07:28] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:07:28] Training loss: 0.1056
[2021-03-16 02:07:28] Testing on 5000 data points...
[2021-03-16 02:07:28] Test accuracy: 0.8994
[2021-03-16 02:07:28] Score for 150 labels: 0.8994
[2021-03-16 02:07:28] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:07:28] Found 4850 unlabelled features.
[2021-03-16 02:07:28] Showing labelled: True (175/5000 visible)
[2021-03-16 02:07:28] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:07:29] Training loss: 0.0820
[2021-03-16 02:07:29] Testing on 5000 data points...
[2021-03-16 02:07:29] Test accuracy: 0.8992
[2021-03-16 02:07:29] Score for 175 labels: 0.8992
[2021-03-16 02:07:29] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:07:29] Found 4825 unlabelled features.
[2021-03-16 02:07:29] Showing labelled: True (200/5000 visible)
[2021-03-16 02:07:29] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:07:30] Training loss: 0.0701
[2021-03-16 02:07:30] Testing on 5000 data points...
[2021-03-16 02:07:30] Test accuracy: 0.8998
[2021-03-16 02:07:30] Score for 200 labels: 0.8998
[2021-03-16 02:07:30] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:07:30] Found 4800 unlabelled features.
[2021-03-16 02:07:31] Showing labelled: True (225/5000 visible)
[2021-03-16 02:07:31] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:07:32] Training loss: 0.0952
[2021-03-16 02:07:32] Testing on 5000 data points...
[2021-03-16 02:07:32] Test accuracy: 0.9964
[2021-03-16 02:07:32] Score for 225 labels: 0.9964
[2021-03-16 02:07:32] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:07:32] Found 4775 unlabelled features.
[2021-03-16 02:07:32] Showing labelled: True (250/5000 visible)
[2021-03-16 02:07:32] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:07:33] Training loss: 0.0879
[2021-03-16 02:07:33] Testing on 5000 data points...
[2021-03-16 02:07:33] Test accuracy: 0.9982
[2021-03-16 02:07:33] Score for 250 labels: 0.9982
[2021-03-16 02:07:33] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:07:33] Found 4750 unlabelled features.
[2021-03-16 02:07:33] Showing labelled: True (275/5000 visible)
[2021-03-16 02:07:33] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:07:35] Training loss: 0.0861
[2021-03-16 02:07:35] Testing on 5000 data points...
[2021-03-16 02:07:35] Test accuracy: 0.9968
[2021-03-16 02:07:35] Score for 275 labels: 0.9968
[2021-03-16 02:07:35] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:07:35] Found 4725 unlabelled features.
[2021-03-16 02:07:35] Showing labelled: True (300/5000 visible)
[2021-03-16 02:07:35] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:07:36] Training loss: 0.0714
[2021-03-16 02:07:36] Testing on 5000 data points...
[2021-03-16 02:07:36] Test accuracy: 0.9970
[2021-03-16 02:07:36] Score for 300 labels: 0.9970
[2021-03-16 02:07:36] Running: experiment 3
[2021-03-16 02:07:36] Showing labelled: True (50/5000 visible)
[2021-03-16 02:07:36] mlp: initialized 1482 parameters.
[2021-03-16 02:07:36] Creating trainer with model on device: cuda
[2021-03-16 02:07:36] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:07:36] Training loss: 1.1695
[2021-03-16 02:07:36] Testing on 5000 data points...
[2021-03-16 02:07:36] Test accuracy: 0.4160
[2021-03-16 02:07:36] Score for 50 labels: 0.4160
[2021-03-16 02:07:36] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:07:36] Found 4950 unlabelled features.
[2021-03-16 02:07:36] Showing labelled: True (75/5000 visible)
[2021-03-16 02:07:36] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:07:37] Training loss: 0.4558
[2021-03-16 02:07:37] Testing on 5000 data points...
[2021-03-16 02:07:37] Test accuracy: 0.5192
[2021-03-16 02:07:37] Score for 75 labels: 0.5192
[2021-03-16 02:07:37] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:07:37] Found 4925 unlabelled features.
[2021-03-16 02:07:37] Showing labelled: True (100/5000 visible)
[2021-03-16 02:07:37] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:07:37] Training loss: 0.1397
[2021-03-16 02:07:37] Testing on 5000 data points...
[2021-03-16 02:07:37] Test accuracy: 0.7620
[2021-03-16 02:07:37] Score for 100 labels: 0.7620
[2021-03-16 02:07:37] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:07:37] Found 4900 unlabelled features.
[2021-03-16 02:07:38] Showing labelled: True (125/5000 visible)
[2021-03-16 02:07:38] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:07:38] Training loss: 0.0580
[2021-03-16 02:07:38] Testing on 5000 data points...
[2021-03-16 02:07:38] Test accuracy: 0.7898
[2021-03-16 02:07:38] Score for 125 labels: 0.7898
[2021-03-16 02:07:38] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:07:38] Found 4875 unlabelled features.
[2021-03-16 02:07:38] Showing labelled: True (150/5000 visible)
[2021-03-16 02:07:38] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:07:39] Training loss: 0.0484
[2021-03-16 02:07:39] Testing on 5000 data points...
[2021-03-16 02:07:39] Test accuracy: 0.7994
[2021-03-16 02:07:39] Score for 150 labels: 0.7994
[2021-03-16 02:07:39] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:07:39] Found 4850 unlabelled features.
[2021-03-16 02:07:39] Showing labelled: True (175/5000 visible)
[2021-03-16 02:07:39] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:07:40] Training loss: 0.0562
[2021-03-16 02:07:40] Testing on 5000 data points...
[2021-03-16 02:07:40] Test accuracy: 0.7986
[2021-03-16 02:07:40] Score for 175 labels: 0.7986
[2021-03-16 02:07:40] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:07:40] Found 4825 unlabelled features.
[2021-03-16 02:07:40] Showing labelled: True (200/5000 visible)
[2021-03-16 02:07:40] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:07:41] Training loss: 0.0934
[2021-03-16 02:07:41] Testing on 5000 data points...
[2021-03-16 02:07:41] Test accuracy: 0.8994
[2021-03-16 02:07:41] Score for 200 labels: 0.8994
[2021-03-16 02:07:41] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:07:41] Found 4800 unlabelled features.
[2021-03-16 02:07:41] Showing labelled: True (225/5000 visible)
[2021-03-16 02:07:41] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:07:42] Training loss: 0.0374
[2021-03-16 02:07:42] Testing on 5000 data points...
[2021-03-16 02:07:42] Test accuracy: 0.8998
[2021-03-16 02:07:42] Score for 225 labels: 0.8998
[2021-03-16 02:07:42] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:07:42] Found 4775 unlabelled features.
[2021-03-16 02:07:42] Showing labelled: True (250/5000 visible)
[2021-03-16 02:07:42] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:07:43] Training loss: 0.0823
[2021-03-16 02:07:43] Testing on 5000 data points...
[2021-03-16 02:07:44] Test accuracy: 0.8998
[2021-03-16 02:07:44] Score for 250 labels: 0.8998
[2021-03-16 02:07:44] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:07:44] Found 4750 unlabelled features.
[2021-03-16 02:07:44] Showing labelled: True (275/5000 visible)
[2021-03-16 02:07:44] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:07:45] Training loss: 0.0580
[2021-03-16 02:07:45] Testing on 5000 data points...
[2021-03-16 02:07:45] Test accuracy: 0.9950
[2021-03-16 02:07:45] Score for 275 labels: 0.9950
[2021-03-16 02:07:45] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:07:45] Found 4725 unlabelled features.
[2021-03-16 02:07:45] Showing labelled: True (300/5000 visible)
[2021-03-16 02:07:45] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:07:46] Training loss: 0.0408
[2021-03-16 02:07:46] Testing on 5000 data points...
[2021-03-16 02:07:46] Test accuracy: 0.9924
[2021-03-16 02:07:46] Score for 300 labels: 0.9924
[2021-03-16 02:07:46] Running: experiment 4
[2021-03-16 02:07:46] Showing labelled: True (50/5000 visible)
[2021-03-16 02:07:46] mlp: initialized 1482 parameters.
[2021-03-16 02:07:46] Creating trainer with model on device: cuda
[2021-03-16 02:07:46] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:07:47] Training loss: 1.0338
[2021-03-16 02:07:47] Testing on 5000 data points...
[2021-03-16 02:07:47] Test accuracy: 0.4026
[2021-03-16 02:07:47] Score for 50 labels: 0.4026
[2021-03-16 02:07:47] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:07:47] Found 4950 unlabelled features.
[2021-03-16 02:07:47] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:47] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:47] Scoring random batches...
[2021-03-16 02:07:47] Showing labelled: True (75/5000 visible)
[2021-03-16 02:07:47] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:07:48] Training loss: 0.4755
[2021-03-16 02:07:48] Testing on 5000 data points...
[2021-03-16 02:07:48] Test accuracy: 0.7776
[2021-03-16 02:07:48] Score for 75 labels: 0.7776
[2021-03-16 02:07:48] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:07:48] Found 4925 unlabelled features.
[2021-03-16 02:07:48] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:48] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:48] Scoring random batches...
[2021-03-16 02:07:48] Showing labelled: True (100/5000 visible)
[2021-03-16 02:07:48] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:07:49] Training loss: 0.2054
[2021-03-16 02:07:49] Testing on 5000 data points...
[2021-03-16 02:07:49] Test accuracy: 0.7974
[2021-03-16 02:07:49] Score for 100 labels: 0.7974
[2021-03-16 02:07:49] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:07:49] Found 4900 unlabelled features.
[2021-03-16 02:07:49] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:49] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:50] Scoring random batches...
[2021-03-16 02:07:50] Showing labelled: True (125/5000 visible)
[2021-03-16 02:07:50] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:07:50] Training loss: 0.1166
[2021-03-16 02:07:50] Testing on 5000 data points...
[2021-03-16 02:07:50] Test accuracy: 0.7984
[2021-03-16 02:07:50] Score for 125 labels: 0.7984
[2021-03-16 02:07:50] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:07:50] Found 4875 unlabelled features.
[2021-03-16 02:07:50] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:50] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:51] Scoring random batches...
[2021-03-16 02:07:51] Showing labelled: True (150/5000 visible)
[2021-03-16 02:07:51] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:07:51] Training loss: 0.0829
[2021-03-16 02:07:51] Testing on 5000 data points...
[2021-03-16 02:07:51] Test accuracy: 0.7988
[2021-03-16 02:07:51] Score for 150 labels: 0.7988
[2021-03-16 02:07:51] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:07:51] Found 4850 unlabelled features.
[2021-03-16 02:07:51] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:52] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:52] Scoring random batches...
[2021-03-16 02:07:52] Showing labelled: True (175/5000 visible)
[2021-03-16 02:07:52] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:07:53] Training loss: 0.0572
[2021-03-16 02:07:53] Testing on 5000 data points...
[2021-03-16 02:07:53] Test accuracy: 0.8068
[2021-03-16 02:07:53] Score for 175 labels: 0.8068
[2021-03-16 02:07:53] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:07:53] Found 4825 unlabelled features.
[2021-03-16 02:07:53] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:53] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:54] Scoring random batches...
[2021-03-16 02:07:54] Showing labelled: True (200/5000 visible)
[2021-03-16 02:07:54] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:07:55] Training loss: 0.0426
[2021-03-16 02:07:55] Testing on 5000 data points...
[2021-03-16 02:07:55] Test accuracy: 0.8146
[2021-03-16 02:07:55] Score for 200 labels: 0.8146
[2021-03-16 02:07:55] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:07:55] Found 4800 unlabelled features.
[2021-03-16 02:07:55] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:55] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:56] Scoring random batches...
[2021-03-16 02:07:56] Showing labelled: True (225/5000 visible)
[2021-03-16 02:07:56] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:07:57] Training loss: 0.0353
[2021-03-16 02:07:57] Testing on 5000 data points...
[2021-03-16 02:07:57] Test accuracy: 0.8460
[2021-03-16 02:07:57] Score for 225 labels: 0.8460
[2021-03-16 02:07:57] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:07:57] Found 4775 unlabelled features.
[2021-03-16 02:07:57] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:57] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:07:58] Scoring random batches...
[2021-03-16 02:07:58] Showing labelled: True (250/5000 visible)
[2021-03-16 02:07:58] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:07:59] Training loss: 0.0253
[2021-03-16 02:07:59] Testing on 5000 data points...
[2021-03-16 02:07:59] Test accuracy: 0.8690
[2021-03-16 02:07:59] Score for 250 labels: 0.8690
[2021-03-16 02:07:59] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:07:59] Found 4750 unlabelled features.
[2021-03-16 02:07:59] Training GMM (k=50) on labelled features...
[2021-03-16 02:07:59] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:08:00] Scoring random batches...
[2021-03-16 02:08:00] Showing labelled: True (275/5000 visible)
[2021-03-16 02:08:00] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:08:01] Training loss: 0.0391
[2021-03-16 02:08:01] Testing on 5000 data points...
[2021-03-16 02:08:01] Test accuracy: 0.9892
[2021-03-16 02:08:01] Score for 275 labels: 0.9892
[2021-03-16 02:08:01] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:08:01] Found 4725 unlabelled features.
[2021-03-16 02:08:01] Training GMM (k=50) on labelled features...
[2021-03-16 02:08:02] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:08:02] Scoring random batches...
[2021-03-16 02:08:02] Showing labelled: True (300/5000 visible)
[2021-03-16 02:08:02] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:08:04] Training loss: 0.0219
[2021-03-16 02:08:04] Testing on 5000 data points...
[2021-03-16 02:08:04] Test accuracy: 0.9930
[2021-03-16 02:08:04] Score for 300 labels: 0.9930
[2021-03-16 02:08:04] Experiment repeat 3/10
[2021-03-16 02:08:04] Randomly labelled 50/5000
[2021-03-16 02:08:04] Showing labelled: True (50/5000 visible)
[2021-03-16 02:08:04] Running: experiment 0
[2021-03-16 02:08:04] Showing labelled: True (50/5000 visible)
[2021-03-16 02:08:04] mlp: initialized 1482 parameters.
[2021-03-16 02:08:04] Creating trainer with model on device: cuda
[2021-03-16 02:08:04] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:08:04] Training loss: 0.8881
[2021-03-16 02:08:04] Testing on 5000 data points...
[2021-03-16 02:08:04] Test accuracy: 0.2284
[2021-03-16 02:08:04] Score for 50 labels: 0.2284
[2021-03-16 02:08:04] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:08:04] Found 4950 unlabelled features.
[2021-03-16 02:08:04] Searching core-set greedily...
[2021-03-16 02:08:06] Showing labelled: True (75/5000 visible)
[2021-03-16 02:08:06] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:08:07] Training loss: 0.7590
[2021-03-16 02:08:07] Testing on 5000 data points...
[2021-03-16 02:08:07] Test accuracy: 0.9472
[2021-03-16 02:08:07] Score for 75 labels: 0.9472
[2021-03-16 02:08:07] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:08:07] Found 4925 unlabelled features.
[2021-03-16 02:08:07] Searching core-set greedily...
[2021-03-16 02:08:09] Showing labelled: True (100/5000 visible)
[2021-03-16 02:08:09] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:08:09] Training loss: 0.3484
[2021-03-16 02:08:09] Testing on 5000 data points...
[2021-03-16 02:08:09] Test accuracy: 0.9448
[2021-03-16 02:08:09] Score for 100 labels: 0.9448
[2021-03-16 02:08:09] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:08:09] Found 4900 unlabelled features.
[2021-03-16 02:08:09] Searching core-set greedily...
[2021-03-16 02:08:12] Showing labelled: True (125/5000 visible)
[2021-03-16 02:08:12] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:08:13] Training loss: 0.2344
[2021-03-16 02:08:13] Testing on 5000 data points...
[2021-03-16 02:08:13] Test accuracy: 0.9554
[2021-03-16 02:08:13] Score for 125 labels: 0.9554
[2021-03-16 02:08:13] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:08:13] Found 4875 unlabelled features.
[2021-03-16 02:08:13] Searching core-set greedily...
[2021-03-16 02:08:15] Showing labelled: True (150/5000 visible)
[2021-03-16 02:08:15] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:08:16] Training loss: 0.1755
[2021-03-16 02:08:16] Testing on 5000 data points...
[2021-03-16 02:08:16] Test accuracy: 0.9978
[2021-03-16 02:08:16] Score for 150 labels: 0.9978
[2021-03-16 02:08:16] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:08:16] Found 4850 unlabelled features.
[2021-03-16 02:08:16] Searching core-set greedily...
[2021-03-16 02:08:20] Showing labelled: True (175/5000 visible)
[2021-03-16 02:08:20] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:08:21] Training loss: 0.1230
[2021-03-16 02:08:21] Testing on 5000 data points...
[2021-03-16 02:08:21] Test accuracy: 0.9984
[2021-03-16 02:08:21] Score for 175 labels: 0.9984
[2021-03-16 02:08:21] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:08:21] Found 4825 unlabelled features.
[2021-03-16 02:08:21] Searching core-set greedily...
[2021-03-16 02:08:25] Showing labelled: True (200/5000 visible)
[2021-03-16 02:08:25] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:08:26] Training loss: 0.0868
[2021-03-16 02:08:26] Testing on 5000 data points...
[2021-03-16 02:08:26] Test accuracy: 0.9980
[2021-03-16 02:08:26] Score for 200 labels: 0.9980
[2021-03-16 02:08:26] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:08:26] Found 4800 unlabelled features.
[2021-03-16 02:08:26] Searching core-set greedily...
[2021-03-16 02:08:30] Showing labelled: True (225/5000 visible)
[2021-03-16 02:08:30] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:08:31] Training loss: 0.0671
[2021-03-16 02:08:31] Testing on 5000 data points...
[2021-03-16 02:08:31] Test accuracy: 0.9984
[2021-03-16 02:08:31] Score for 225 labels: 0.9984
[2021-03-16 02:08:31] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:08:31] Found 4775 unlabelled features.
[2021-03-16 02:08:31] Searching core-set greedily...
[2021-03-16 02:08:35] Showing labelled: True (250/5000 visible)
[2021-03-16 02:08:35] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:08:36] Training loss: 0.0507
[2021-03-16 02:08:36] Testing on 5000 data points...
[2021-03-16 02:08:36] Test accuracy: 0.9984
[2021-03-16 02:08:36] Score for 250 labels: 0.9984
[2021-03-16 02:08:36] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:08:36] Found 4750 unlabelled features.
[2021-03-16 02:08:36] Searching core-set greedily...
[2021-03-16 02:08:41] Showing labelled: True (275/5000 visible)
[2021-03-16 02:08:41] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:08:43] Training loss: 0.0417
[2021-03-16 02:08:43] Testing on 5000 data points...
[2021-03-16 02:08:43] Test accuracy: 0.9984
[2021-03-16 02:08:43] Score for 275 labels: 0.9984
[2021-03-16 02:08:43] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:08:43] Found 4725 unlabelled features.
[2021-03-16 02:08:43] Searching core-set greedily...
[2021-03-16 02:08:47] Showing labelled: True (300/5000 visible)
[2021-03-16 02:08:47] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:08:49] Training loss: 0.0333
[2021-03-16 02:08:49] Testing on 5000 data points...
[2021-03-16 02:08:49] Test accuracy: 0.9982
[2021-03-16 02:08:49] Score for 300 labels: 0.9982
[2021-03-16 02:08:49] Running: experiment 1
[2021-03-16 02:08:49] Showing labelled: True (50/5000 visible)
[2021-03-16 02:08:49] mlp: initialized 1482 parameters.
[2021-03-16 02:08:49] Creating trainer with model on device: cuda
[2021-03-16 02:08:49] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:08:49] Training loss: 0.9268
[2021-03-16 02:08:49] Testing on 5000 data points...
[2021-03-16 02:08:49] Test accuracy: 0.3000
[2021-03-16 02:08:49] Score for 50 labels: 0.3000
[2021-03-16 02:08:49] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:08:49] Found 4950 unlabelled features.
[2021-03-16 02:08:49] Showing labelled: True (75/5000 visible)
[2021-03-16 02:08:49] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:08:50] Training loss: 0.5517
[2021-03-16 02:08:50] Testing on 5000 data points...
[2021-03-16 02:08:50] Test accuracy: 0.4986
[2021-03-16 02:08:50] Score for 75 labels: 0.4986
[2021-03-16 02:08:50] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:08:50] Found 4925 unlabelled features.
[2021-03-16 02:08:50] Showing labelled: True (100/5000 visible)
[2021-03-16 02:08:50] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:08:50] Training loss: 0.3639
[2021-03-16 02:08:50] Testing on 5000 data points...
[2021-03-16 02:08:50] Test accuracy: 0.7000
[2021-03-16 02:08:50] Score for 100 labels: 0.7000
[2021-03-16 02:08:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:08:50] Found 4900 unlabelled features.
[2021-03-16 02:08:50] Showing labelled: True (125/5000 visible)
[2021-03-16 02:08:50] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:08:51] Training loss: 0.2475
[2021-03-16 02:08:51] Testing on 5000 data points...
[2021-03-16 02:08:51] Test accuracy: 0.8604
[2021-03-16 02:08:51] Score for 125 labels: 0.8604
[2021-03-16 02:08:51] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:08:51] Found 4875 unlabelled features.
[2021-03-16 02:08:51] Showing labelled: True (150/5000 visible)
[2021-03-16 02:08:51] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:08:52] Training loss: 0.1564
[2021-03-16 02:08:52] Testing on 5000 data points...
[2021-03-16 02:08:52] Test accuracy: 0.9138
[2021-03-16 02:08:52] Score for 150 labels: 0.9138
[2021-03-16 02:08:52] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:08:52] Found 4850 unlabelled features.
[2021-03-16 02:08:52] Showing labelled: True (175/5000 visible)
[2021-03-16 02:08:52] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:08:53] Training loss: 0.0967
[2021-03-16 02:08:53] Testing on 5000 data points...
[2021-03-16 02:08:53] Test accuracy: 0.9388
[2021-03-16 02:08:53] Score for 175 labels: 0.9388
[2021-03-16 02:08:53] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:08:53] Found 4825 unlabelled features.
[2021-03-16 02:08:53] Showing labelled: True (200/5000 visible)
[2021-03-16 02:08:53] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:08:54] Training loss: 0.0678
[2021-03-16 02:08:54] Testing on 5000 data points...
[2021-03-16 02:08:54] Test accuracy: 0.9676
[2021-03-16 02:08:54] Score for 200 labels: 0.9676
[2021-03-16 02:08:54] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:08:54] Found 4800 unlabelled features.
[2021-03-16 02:08:54] Showing labelled: True (225/5000 visible)
[2021-03-16 02:08:54] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:08:55] Training loss: 0.0468
[2021-03-16 02:08:55] Testing on 5000 data points...
[2021-03-16 02:08:55] Test accuracy: 0.9756
[2021-03-16 02:08:55] Score for 225 labels: 0.9756
[2021-03-16 02:08:55] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:08:55] Found 4775 unlabelled features.
[2021-03-16 02:08:55] Showing labelled: True (250/5000 visible)
[2021-03-16 02:08:55] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:08:56] Training loss: 0.0303
[2021-03-16 02:08:56] Testing on 5000 data points...
[2021-03-16 02:08:56] Test accuracy: 0.9860
[2021-03-16 02:08:56] Score for 250 labels: 0.9860
[2021-03-16 02:08:56] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:08:56] Found 4750 unlabelled features.
[2021-03-16 02:08:56] Showing labelled: True (275/5000 visible)
[2021-03-16 02:08:56] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:08:58] Training loss: 0.0212
[2021-03-16 02:08:58] Testing on 5000 data points...
[2021-03-16 02:08:58] Test accuracy: 0.9902
[2021-03-16 02:08:58] Score for 275 labels: 0.9902
[2021-03-16 02:08:58] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:08:58] Found 4725 unlabelled features.
[2021-03-16 02:08:58] Showing labelled: True (300/5000 visible)
[2021-03-16 02:08:58] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:08:59] Training loss: 0.0163
[2021-03-16 02:08:59] Testing on 5000 data points...
[2021-03-16 02:08:59] Test accuracy: 0.9920
[2021-03-16 02:08:59] Score for 300 labels: 0.9920
[2021-03-16 02:08:59] Running: experiment 2
[2021-03-16 02:08:59] Showing labelled: True (50/5000 visible)
[2021-03-16 02:08:59] mlp: initialized 1482 parameters.
[2021-03-16 02:08:59] Creating trainer with model on device: cuda
[2021-03-16 02:08:59] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:09:00] Training loss: 0.8232
[2021-03-16 02:09:00] Testing on 5000 data points...
[2021-03-16 02:09:00] Test accuracy: 0.3030
[2021-03-16 02:09:00] Score for 50 labels: 0.3030
[2021-03-16 02:09:00] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:09:00] Found 4950 unlabelled features.
[2021-03-16 02:09:00] Showing labelled: True (75/5000 visible)
[2021-03-16 02:09:00] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:09:00] Training loss: 0.4407
[2021-03-16 02:09:00] Testing on 5000 data points...
[2021-03-16 02:09:00] Test accuracy: 0.5000
[2021-03-16 02:09:00] Score for 75 labels: 0.5000
[2021-03-16 02:09:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:09:00] Found 4925 unlabelled features.
[2021-03-16 02:09:00] Showing labelled: True (100/5000 visible)
[2021-03-16 02:09:00] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:09:01] Training loss: 0.2866
[2021-03-16 02:09:01] Testing on 5000 data points...
[2021-03-16 02:09:01] Test accuracy: 0.5998
[2021-03-16 02:09:01] Score for 100 labels: 0.5998
[2021-03-16 02:09:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:09:01] Found 4900 unlabelled features.
[2021-03-16 02:09:01] Showing labelled: True (125/5000 visible)
[2021-03-16 02:09:01] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:09:02] Training loss: 0.2148
[2021-03-16 02:09:02] Testing on 5000 data points...
[2021-03-16 02:09:02] Test accuracy: 0.7000
[2021-03-16 02:09:02] Score for 125 labels: 0.7000
[2021-03-16 02:09:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:09:02] Found 4875 unlabelled features.
[2021-03-16 02:09:02] Showing labelled: True (150/5000 visible)
[2021-03-16 02:09:02] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:09:02] Training loss: 0.1679
[2021-03-16 02:09:02] Testing on 5000 data points...
[2021-03-16 02:09:02] Test accuracy: 0.8000
[2021-03-16 02:09:02] Score for 150 labels: 0.8000
[2021-03-16 02:09:02] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:09:02] Found 4850 unlabelled features.
[2021-03-16 02:09:02] Showing labelled: True (175/5000 visible)
[2021-03-16 02:09:02] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:09:03] Training loss: 0.1303
[2021-03-16 02:09:03] Testing on 5000 data points...
[2021-03-16 02:09:04] Test accuracy: 0.8970
[2021-03-16 02:09:04] Score for 175 labels: 0.8970
[2021-03-16 02:09:04] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:09:04] Found 4825 unlabelled features.
[2021-03-16 02:09:04] Showing labelled: True (200/5000 visible)
[2021-03-16 02:09:04] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:09:05] Training loss: 0.0852
[2021-03-16 02:09:05] Testing on 5000 data points...
[2021-03-16 02:09:05] Test accuracy: 0.9954
[2021-03-16 02:09:05] Score for 200 labels: 0.9954
[2021-03-16 02:09:05] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:09:05] Found 4800 unlabelled features.
[2021-03-16 02:09:05] Showing labelled: True (225/5000 visible)
[2021-03-16 02:09:05] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:09:06] Training loss: 0.0829
[2021-03-16 02:09:06] Testing on 5000 data points...
[2021-03-16 02:09:06] Test accuracy: 0.9968
[2021-03-16 02:09:06] Score for 225 labels: 0.9968
[2021-03-16 02:09:06] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:09:06] Found 4775 unlabelled features.
[2021-03-16 02:09:06] Showing labelled: True (250/5000 visible)
[2021-03-16 02:09:06] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:09:07] Training loss: 0.0793
[2021-03-16 02:09:07] Testing on 5000 data points...
[2021-03-16 02:09:07] Test accuracy: 0.9982
[2021-03-16 02:09:07] Score for 250 labels: 0.9982
[2021-03-16 02:09:07] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:09:07] Found 4750 unlabelled features.
[2021-03-16 02:09:07] Showing labelled: True (275/5000 visible)
[2021-03-16 02:09:07] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:09:09] Training loss: 0.0704
[2021-03-16 02:09:09] Testing on 5000 data points...
[2021-03-16 02:09:09] Test accuracy: 0.9974
[2021-03-16 02:09:09] Score for 275 labels: 0.9974
[2021-03-16 02:09:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:09:09] Found 4725 unlabelled features.
[2021-03-16 02:09:09] Showing labelled: True (300/5000 visible)
[2021-03-16 02:09:09] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:09:10] Training loss: 0.0528
[2021-03-16 02:09:10] Testing on 5000 data points...
[2021-03-16 02:09:10] Test accuracy: 0.9976
[2021-03-16 02:09:10] Score for 300 labels: 0.9976
[2021-03-16 02:09:10] Running: experiment 3
[2021-03-16 02:09:10] Showing labelled: True (50/5000 visible)
[2021-03-16 02:09:10] mlp: initialized 1482 parameters.
[2021-03-16 02:09:10] Creating trainer with model on device: cuda
[2021-03-16 02:09:10] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:09:10] Training loss: 0.9674
[2021-03-16 02:09:10] Testing on 5000 data points...
[2021-03-16 02:09:10] Test accuracy: 0.3000
[2021-03-16 02:09:10] Score for 50 labels: 0.3000
[2021-03-16 02:09:10] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:09:10] Found 4950 unlabelled features.
[2021-03-16 02:09:11] Showing labelled: True (75/5000 visible)
[2021-03-16 02:09:11] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:09:11] Training loss: 0.3970
[2021-03-16 02:09:11] Testing on 5000 data points...
[2021-03-16 02:09:11] Test accuracy: 0.4976
[2021-03-16 02:09:11] Score for 75 labels: 0.4976
[2021-03-16 02:09:11] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:09:11] Found 4925 unlabelled features.
[2021-03-16 02:09:11] Showing labelled: True (100/5000 visible)
[2021-03-16 02:09:11] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:09:12] Training loss: 0.3148
[2021-03-16 02:09:12] Testing on 5000 data points...
[2021-03-16 02:09:12] Test accuracy: 0.5000
[2021-03-16 02:09:12] Score for 100 labels: 0.5000
[2021-03-16 02:09:12] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:09:12] Found 4900 unlabelled features.
[2021-03-16 02:09:12] Showing labelled: True (125/5000 visible)
[2021-03-16 02:09:12] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:09:12] Training loss: 0.2041
[2021-03-16 02:09:12] Testing on 5000 data points...
[2021-03-16 02:09:12] Test accuracy: 0.5998
[2021-03-16 02:09:12] Score for 125 labels: 0.5998
[2021-03-16 02:09:12] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:09:12] Found 4875 unlabelled features.
[2021-03-16 02:09:12] Showing labelled: True (150/5000 visible)
[2021-03-16 02:09:12] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:09:13] Training loss: 0.2344
[2021-03-16 02:09:13] Testing on 5000 data points...
[2021-03-16 02:09:13] Test accuracy: 0.7448
[2021-03-16 02:09:13] Score for 150 labels: 0.7448
[2021-03-16 02:09:13] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:09:13] Found 4850 unlabelled features.
[2021-03-16 02:09:13] Showing labelled: True (175/5000 visible)
[2021-03-16 02:09:13] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:09:14] Training loss: 0.1131
[2021-03-16 02:09:14] Testing on 5000 data points...
[2021-03-16 02:09:14] Test accuracy: 0.8060
[2021-03-16 02:09:14] Score for 175 labels: 0.8060
[2021-03-16 02:09:14] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:09:14] Found 4825 unlabelled features.
[2021-03-16 02:09:14] Showing labelled: True (200/5000 visible)
[2021-03-16 02:09:14] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:09:15] Training loss: 0.0829
[2021-03-16 02:09:15] Testing on 5000 data points...
[2021-03-16 02:09:15] Test accuracy: 0.8952
[2021-03-16 02:09:15] Score for 200 labels: 0.8952
[2021-03-16 02:09:15] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:09:15] Found 4800 unlabelled features.
[2021-03-16 02:09:15] Showing labelled: True (225/5000 visible)
[2021-03-16 02:09:15] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:09:17] Training loss: 0.0798
[2021-03-16 02:09:17] Testing on 5000 data points...
[2021-03-16 02:09:17] Test accuracy: 0.8960
[2021-03-16 02:09:17] Score for 225 labels: 0.8960
[2021-03-16 02:09:17] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:09:17] Found 4775 unlabelled features.
[2021-03-16 02:09:17] Showing labelled: True (250/5000 visible)
[2021-03-16 02:09:17] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:09:18] Training loss: 0.0776
[2021-03-16 02:09:18] Testing on 5000 data points...
[2021-03-16 02:09:18] Test accuracy: 0.8962
[2021-03-16 02:09:18] Score for 250 labels: 0.8962
[2021-03-16 02:09:18] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:09:18] Found 4750 unlabelled features.
[2021-03-16 02:09:18] Showing labelled: True (275/5000 visible)
[2021-03-16 02:09:18] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:09:19] Training loss: 0.1375
[2021-03-16 02:09:19] Testing on 5000 data points...
[2021-03-16 02:09:19] Test accuracy: 0.9962
[2021-03-16 02:09:19] Score for 275 labels: 0.9962
[2021-03-16 02:09:19] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:09:19] Found 4725 unlabelled features.
[2021-03-16 02:09:19] Showing labelled: True (300/5000 visible)
[2021-03-16 02:09:19] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:09:21] Training loss: 0.0716
[2021-03-16 02:09:21] Testing on 5000 data points...
[2021-03-16 02:09:21] Test accuracy: 0.9984
[2021-03-16 02:09:21] Score for 300 labels: 0.9984
[2021-03-16 02:09:21] Running: experiment 4
[2021-03-16 02:09:21] Showing labelled: True (50/5000 visible)
[2021-03-16 02:09:21] mlp: initialized 1482 parameters.
[2021-03-16 02:09:21] Creating trainer with model on device: cuda
[2021-03-16 02:09:21] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:09:21] Training loss: 0.9108
[2021-03-16 02:09:21] Testing on 5000 data points...
[2021-03-16 02:09:21] Test accuracy: 0.3000
[2021-03-16 02:09:21] Score for 50 labels: 0.3000
[2021-03-16 02:09:21] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:09:21] Found 4950 unlabelled features.
[2021-03-16 02:09:21] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:21] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:22] Scoring random batches...
[2021-03-16 02:09:22] Showing labelled: True (75/5000 visible)
[2021-03-16 02:09:22] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:09:22] Training loss: 0.6749
[2021-03-16 02:09:22] Testing on 5000 data points...
[2021-03-16 02:09:22] Test accuracy: 0.5008
[2021-03-16 02:09:22] Score for 75 labels: 0.5008
[2021-03-16 02:09:22] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:09:22] Found 4925 unlabelled features.
[2021-03-16 02:09:22] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:23] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:23] Scoring random batches...
[2021-03-16 02:09:23] Showing labelled: True (100/5000 visible)
[2021-03-16 02:09:23] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:09:23] Training loss: 0.3900
[2021-03-16 02:09:23] Testing on 5000 data points...
[2021-03-16 02:09:23] Test accuracy: 0.6240
[2021-03-16 02:09:23] Score for 100 labels: 0.6240
[2021-03-16 02:09:23] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:09:23] Found 4900 unlabelled features.
[2021-03-16 02:09:23] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:24] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:24] Scoring random batches...
[2021-03-16 02:09:24] Showing labelled: True (125/5000 visible)
[2021-03-16 02:09:24] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:09:25] Training loss: 0.3136
[2021-03-16 02:09:25] Testing on 5000 data points...
[2021-03-16 02:09:25] Test accuracy: 0.8106
[2021-03-16 02:09:25] Score for 125 labels: 0.8106
[2021-03-16 02:09:25] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:09:25] Found 4875 unlabelled features.
[2021-03-16 02:09:25] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:25] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:25] Scoring random batches...
[2021-03-16 02:09:25] Showing labelled: True (150/5000 visible)
[2021-03-16 02:09:25] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:09:26] Training loss: 0.1586
[2021-03-16 02:09:26] Testing on 5000 data points...
[2021-03-16 02:09:26] Test accuracy: 0.8748
[2021-03-16 02:09:26] Score for 150 labels: 0.8748
[2021-03-16 02:09:26] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:09:26] Found 4850 unlabelled features.
[2021-03-16 02:09:26] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:26] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:27] Scoring random batches...
[2021-03-16 02:09:27] Showing labelled: True (175/5000 visible)
[2021-03-16 02:09:27] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:09:28] Training loss: 0.0913
[2021-03-16 02:09:28] Testing on 5000 data points...
[2021-03-16 02:09:28] Test accuracy: 0.8886
[2021-03-16 02:09:28] Score for 175 labels: 0.8886
[2021-03-16 02:09:28] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:09:28] Found 4825 unlabelled features.
[2021-03-16 02:09:28] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:28] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:29] Scoring random batches...
[2021-03-16 02:09:29] Showing labelled: True (200/5000 visible)
[2021-03-16 02:09:29] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:09:29] Training loss: 0.0564
[2021-03-16 02:09:29] Testing on 5000 data points...
[2021-03-16 02:09:30] Test accuracy: 0.8910
[2021-03-16 02:09:30] Score for 200 labels: 0.8910
[2021-03-16 02:09:30] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:09:30] Found 4800 unlabelled features.
[2021-03-16 02:09:30] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:30] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:30] Scoring random batches...
[2021-03-16 02:09:30] Showing labelled: True (225/5000 visible)
[2021-03-16 02:09:30] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:09:32] Training loss: 0.0397
[2021-03-16 02:09:32] Testing on 5000 data points...
[2021-03-16 02:09:32] Test accuracy: 0.8928
[2021-03-16 02:09:32] Score for 225 labels: 0.8928
[2021-03-16 02:09:32] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:09:32] Found 4775 unlabelled features.
[2021-03-16 02:09:32] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:32] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:32] Scoring random batches...
[2021-03-16 02:09:32] Showing labelled: True (250/5000 visible)
[2021-03-16 02:09:32] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:09:34] Training loss: 0.0268
[2021-03-16 02:09:34] Testing on 5000 data points...
[2021-03-16 02:09:34] Test accuracy: 0.8942
[2021-03-16 02:09:34] Score for 250 labels: 0.8942
[2021-03-16 02:09:34] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:09:34] Found 4750 unlabelled features.
[2021-03-16 02:09:34] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:34] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:34] Scoring random batches...
[2021-03-16 02:09:34] Showing labelled: True (275/5000 visible)
[2021-03-16 02:09:34] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:09:36] Training loss: 0.0185
[2021-03-16 02:09:36] Testing on 5000 data points...
[2021-03-16 02:09:36] Test accuracy: 0.8952
[2021-03-16 02:09:36] Score for 275 labels: 0.8952
[2021-03-16 02:09:36] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:09:36] Found 4725 unlabelled features.
[2021-03-16 02:09:36] Training GMM (k=50) on labelled features...
[2021-03-16 02:09:36] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:09:37] Scoring random batches...
[2021-03-16 02:09:37] Showing labelled: True (300/5000 visible)
[2021-03-16 02:09:37] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:09:38] Training loss: 0.0132
[2021-03-16 02:09:38] Testing on 5000 data points...
[2021-03-16 02:09:38] Test accuracy: 0.8952
[2021-03-16 02:09:38] Score for 300 labels: 0.8952
[2021-03-16 02:09:38] Experiment repeat 4/10
[2021-03-16 02:09:38] Randomly labelled 50/5000
[2021-03-16 02:09:38] Showing labelled: True (50/5000 visible)
[2021-03-16 02:09:38] Running: experiment 0
[2021-03-16 02:09:38] Showing labelled: True (50/5000 visible)
[2021-03-16 02:09:38] mlp: initialized 1482 parameters.
[2021-03-16 02:09:38] Creating trainer with model on device: cuda
[2021-03-16 02:09:38] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:09:39] Training loss: 1.1244
[2021-03-16 02:09:39] Testing on 5000 data points...
[2021-03-16 02:09:39] Test accuracy: 0.5468
[2021-03-16 02:09:39] Score for 50 labels: 0.5468
[2021-03-16 02:09:39] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:09:39] Found 4950 unlabelled features.
[2021-03-16 02:09:39] Searching core-set greedily...
[2021-03-16 02:09:41] Showing labelled: True (75/5000 visible)
[2021-03-16 02:09:41] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:09:41] Training loss: 0.6818
[2021-03-16 02:09:41] Testing on 5000 data points...
[2021-03-16 02:09:41] Test accuracy: 0.9090
[2021-03-16 02:09:41] Score for 75 labels: 0.9090
[2021-03-16 02:09:41] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:09:41] Found 4925 unlabelled features.
[2021-03-16 02:09:41] Searching core-set greedily...
[2021-03-16 02:09:44] Showing labelled: True (100/5000 visible)
[2021-03-16 02:09:44] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:09:44] Training loss: 0.4030
[2021-03-16 02:09:44] Testing on 5000 data points...
[2021-03-16 02:09:44] Test accuracy: 0.9054
[2021-03-16 02:09:44] Score for 100 labels: 0.9054
[2021-03-16 02:09:44] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:09:44] Found 4900 unlabelled features.
[2021-03-16 02:09:44] Searching core-set greedily...
[2021-03-16 02:09:47] Showing labelled: True (125/5000 visible)
[2021-03-16 02:09:47] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:09:47] Training loss: 0.2768
[2021-03-16 02:09:47] Testing on 5000 data points...
[2021-03-16 02:09:47] Test accuracy: 0.9618
[2021-03-16 02:09:47] Score for 125 labels: 0.9618
[2021-03-16 02:09:47] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:09:47] Found 4875 unlabelled features.
[2021-03-16 02:09:47] Searching core-set greedily...
[2021-03-16 02:09:50] Showing labelled: True (150/5000 visible)
[2021-03-16 02:09:50] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:09:51] Training loss: 0.1989
[2021-03-16 02:09:51] Testing on 5000 data points...
[2021-03-16 02:09:51] Test accuracy: 0.9954
[2021-03-16 02:09:51] Score for 150 labels: 0.9954
[2021-03-16 02:09:51] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:09:51] Found 4850 unlabelled features.
[2021-03-16 02:09:51] Searching core-set greedily...
[2021-03-16 02:09:55] Showing labelled: True (175/5000 visible)
[2021-03-16 02:09:55] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:09:56] Training loss: 0.1406
[2021-03-16 02:09:56] Testing on 5000 data points...
[2021-03-16 02:09:56] Test accuracy: 0.9984
[2021-03-16 02:09:56] Score for 175 labels: 0.9984
[2021-03-16 02:09:56] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:09:56] Found 4825 unlabelled features.
[2021-03-16 02:09:56] Searching core-set greedily...
[2021-03-16 02:10:01] Showing labelled: True (200/5000 visible)
[2021-03-16 02:10:01] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:10:02] Training loss: 0.0872
[2021-03-16 02:10:02] Testing on 5000 data points...
[2021-03-16 02:10:02] Test accuracy: 0.9978
[2021-03-16 02:10:02] Score for 200 labels: 0.9978
[2021-03-16 02:10:02] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:10:02] Found 4800 unlabelled features.
[2021-03-16 02:10:02] Searching core-set greedily...
[2021-03-16 02:10:06] Showing labelled: True (225/5000 visible)
[2021-03-16 02:10:06] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:10:08] Training loss: 0.0602
[2021-03-16 02:10:08] Testing on 5000 data points...
[2021-03-16 02:10:08] Test accuracy: 0.9980
[2021-03-16 02:10:08] Score for 225 labels: 0.9980
[2021-03-16 02:10:08] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:10:08] Found 4775 unlabelled features.
[2021-03-16 02:10:08] Searching core-set greedily...
[2021-03-16 02:10:12] Showing labelled: True (250/5000 visible)
[2021-03-16 02:10:12] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:10:13] Training loss: 0.0447
[2021-03-16 02:10:13] Testing on 5000 data points...
[2021-03-16 02:10:13] Test accuracy: 0.9982
[2021-03-16 02:10:13] Score for 250 labels: 0.9982
[2021-03-16 02:10:13] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:10:13] Found 4750 unlabelled features.
[2021-03-16 02:10:13] Searching core-set greedily...
[2021-03-16 02:10:18] Showing labelled: True (275/5000 visible)
[2021-03-16 02:10:18] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:10:19] Training loss: 0.0376
[2021-03-16 02:10:19] Testing on 5000 data points...
[2021-03-16 02:10:19] Test accuracy: 0.9972
[2021-03-16 02:10:19] Score for 275 labels: 0.9972
[2021-03-16 02:10:19] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:10:19] Found 4725 unlabelled features.
[2021-03-16 02:10:19] Searching core-set greedily...
[2021-03-16 02:10:24] Showing labelled: True (300/5000 visible)
[2021-03-16 02:10:24] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:10:25] Training loss: 0.0297
[2021-03-16 02:10:25] Testing on 5000 data points...
[2021-03-16 02:10:25] Test accuracy: 0.9970
[2021-03-16 02:10:25] Score for 300 labels: 0.9970
[2021-03-16 02:10:25] Running: experiment 1
[2021-03-16 02:10:25] Showing labelled: True (50/5000 visible)
[2021-03-16 02:10:25] mlp: initialized 1482 parameters.
[2021-03-16 02:10:25] Creating trainer with model on device: cuda
[2021-03-16 02:10:25] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:10:25] Training loss: 1.3114
[2021-03-16 02:10:25] Testing on 5000 data points...
[2021-03-16 02:10:25] Test accuracy: 0.5934
[2021-03-16 02:10:25] Score for 50 labels: 0.5934
[2021-03-16 02:10:25] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:10:25] Found 4950 unlabelled features.
[2021-03-16 02:10:25] Showing labelled: True (75/5000 visible)
[2021-03-16 02:10:25] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:10:26] Training loss: 0.5933
[2021-03-16 02:10:26] Testing on 5000 data points...
[2021-03-16 02:10:26] Test accuracy: 0.7972
[2021-03-16 02:10:26] Score for 75 labels: 0.7972
[2021-03-16 02:10:26] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:10:26] Found 4925 unlabelled features.
[2021-03-16 02:10:26] Showing labelled: True (100/5000 visible)
[2021-03-16 02:10:26] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:10:26] Training loss: 0.2823
[2021-03-16 02:10:26] Testing on 5000 data points...
[2021-03-16 02:10:27] Test accuracy: 0.7992
[2021-03-16 02:10:27] Score for 100 labels: 0.7992
[2021-03-16 02:10:27] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:10:27] Found 4900 unlabelled features.
[2021-03-16 02:10:27] Showing labelled: True (125/5000 visible)
[2021-03-16 02:10:27] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:10:27] Training loss: 0.1657
[2021-03-16 02:10:27] Testing on 5000 data points...
[2021-03-16 02:10:27] Test accuracy: 0.8034
[2021-03-16 02:10:27] Score for 125 labels: 0.8034
[2021-03-16 02:10:27] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:10:27] Found 4875 unlabelled features.
[2021-03-16 02:10:27] Showing labelled: True (150/5000 visible)
[2021-03-16 02:10:27] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:10:28] Training loss: 0.1300
[2021-03-16 02:10:28] Testing on 5000 data points...
[2021-03-16 02:10:28] Test accuracy: 0.8864
[2021-03-16 02:10:28] Score for 150 labels: 0.8864
[2021-03-16 02:10:28] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:10:28] Found 4850 unlabelled features.
[2021-03-16 02:10:28] Showing labelled: True (175/5000 visible)
[2021-03-16 02:10:28] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:10:29] Training loss: 0.0931
[2021-03-16 02:10:29] Testing on 5000 data points...
[2021-03-16 02:10:29] Test accuracy: 0.9942
[2021-03-16 02:10:29] Score for 175 labels: 0.9942
[2021-03-16 02:10:29] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:10:29] Found 4825 unlabelled features.
[2021-03-16 02:10:29] Showing labelled: True (200/5000 visible)
[2021-03-16 02:10:29] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:10:30] Training loss: 0.0598
[2021-03-16 02:10:30] Testing on 5000 data points...
[2021-03-16 02:10:30] Test accuracy: 0.9932
[2021-03-16 02:10:30] Score for 200 labels: 0.9932
[2021-03-16 02:10:30] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:10:30] Found 4800 unlabelled features.
[2021-03-16 02:10:30] Showing labelled: True (225/5000 visible)
[2021-03-16 02:10:30] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:10:31] Training loss: 0.0396
[2021-03-16 02:10:31] Testing on 5000 data points...
[2021-03-16 02:10:31] Test accuracy: 0.9952
[2021-03-16 02:10:31] Score for 225 labels: 0.9952
[2021-03-16 02:10:31] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:10:31] Found 4775 unlabelled features.
[2021-03-16 02:10:31] Showing labelled: True (250/5000 visible)
[2021-03-16 02:10:31] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:10:32] Training loss: 0.0273
[2021-03-16 02:10:32] Testing on 5000 data points...
[2021-03-16 02:10:32] Test accuracy: 0.9958
[2021-03-16 02:10:32] Score for 250 labels: 0.9958
[2021-03-16 02:10:32] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:10:32] Found 4750 unlabelled features.
[2021-03-16 02:10:32] Showing labelled: True (275/5000 visible)
[2021-03-16 02:10:32] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:10:34] Training loss: 0.0194
[2021-03-16 02:10:34] Testing on 5000 data points...
[2021-03-16 02:10:34] Test accuracy: 0.9958
[2021-03-16 02:10:34] Score for 275 labels: 0.9958
[2021-03-16 02:10:34] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:10:34] Found 4725 unlabelled features.
[2021-03-16 02:10:34] Showing labelled: True (300/5000 visible)
[2021-03-16 02:10:34] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:10:35] Training loss: 0.0144
[2021-03-16 02:10:35] Testing on 5000 data points...
[2021-03-16 02:10:35] Test accuracy: 0.9960
[2021-03-16 02:10:35] Score for 300 labels: 0.9960
[2021-03-16 02:10:35] Running: experiment 2
[2021-03-16 02:10:35] Showing labelled: True (50/5000 visible)
[2021-03-16 02:10:35] mlp: initialized 1482 parameters.
[2021-03-16 02:10:35] Creating trainer with model on device: cuda
[2021-03-16 02:10:35] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:10:36] Training loss: 1.3091
[2021-03-16 02:10:36] Testing on 5000 data points...
[2021-03-16 02:10:36] Test accuracy: 0.4026
[2021-03-16 02:10:36] Score for 50 labels: 0.4026
[2021-03-16 02:10:36] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:10:36] Found 4950 unlabelled features.
[2021-03-16 02:10:36] Showing labelled: True (75/5000 visible)
[2021-03-16 02:10:36] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:10:36] Training loss: 0.5840
[2021-03-16 02:10:36] Testing on 5000 data points...
[2021-03-16 02:10:36] Test accuracy: 0.6424
[2021-03-16 02:10:36] Score for 75 labels: 0.6424
[2021-03-16 02:10:36] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:10:36] Found 4925 unlabelled features.
[2021-03-16 02:10:36] Showing labelled: True (100/5000 visible)
[2021-03-16 02:10:36] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:10:37] Training loss: 0.2945
[2021-03-16 02:10:37] Testing on 5000 data points...
[2021-03-16 02:10:37] Test accuracy: 0.7868
[2021-03-16 02:10:37] Score for 100 labels: 0.7868
[2021-03-16 02:10:37] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:10:37] Found 4900 unlabelled features.
[2021-03-16 02:10:37] Showing labelled: True (125/5000 visible)
[2021-03-16 02:10:37] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:10:37] Training loss: 0.2494
[2021-03-16 02:10:37] Testing on 5000 data points...
[2021-03-16 02:10:37] Test accuracy: 0.8992
[2021-03-16 02:10:37] Score for 125 labels: 0.8992
[2021-03-16 02:10:37] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:10:37] Found 4875 unlabelled features.
[2021-03-16 02:10:37] Showing labelled: True (150/5000 visible)
[2021-03-16 02:10:37] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:10:38] Training loss: 0.1546
[2021-03-16 02:10:38] Testing on 5000 data points...
[2021-03-16 02:10:38] Test accuracy: 0.8994
[2021-03-16 02:10:38] Score for 150 labels: 0.8994
[2021-03-16 02:10:38] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:10:38] Found 4850 unlabelled features.
[2021-03-16 02:10:38] Showing labelled: True (175/5000 visible)
[2021-03-16 02:10:38] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:10:39] Training loss: 0.1167
[2021-03-16 02:10:39] Testing on 5000 data points...
[2021-03-16 02:10:39] Test accuracy: 0.9956
[2021-03-16 02:10:39] Score for 175 labels: 0.9956
[2021-03-16 02:10:39] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:10:39] Found 4825 unlabelled features.
[2021-03-16 02:10:39] Showing labelled: True (200/5000 visible)
[2021-03-16 02:10:39] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:10:40] Training loss: 0.1071
[2021-03-16 02:10:40] Testing on 5000 data points...
[2021-03-16 02:10:40] Test accuracy: 0.9966
[2021-03-16 02:10:40] Score for 200 labels: 0.9966
[2021-03-16 02:10:40] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:10:40] Found 4800 unlabelled features.
[2021-03-16 02:10:40] Showing labelled: True (225/5000 visible)
[2021-03-16 02:10:40] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:10:41] Training loss: 0.1024
[2021-03-16 02:10:41] Testing on 5000 data points...
[2021-03-16 02:10:41] Test accuracy: 0.9970
[2021-03-16 02:10:41] Score for 225 labels: 0.9970
[2021-03-16 02:10:41] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:10:41] Found 4775 unlabelled features.
[2021-03-16 02:10:41] Showing labelled: True (250/5000 visible)
[2021-03-16 02:10:41] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:10:43] Training loss: 0.0769
[2021-03-16 02:10:43] Testing on 5000 data points...
[2021-03-16 02:10:43] Test accuracy: 0.9984
[2021-03-16 02:10:43] Score for 250 labels: 0.9984
[2021-03-16 02:10:43] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:10:43] Found 4750 unlabelled features.
[2021-03-16 02:10:43] Showing labelled: True (275/5000 visible)
[2021-03-16 02:10:43] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:10:44] Training loss: 0.0544
[2021-03-16 02:10:44] Testing on 5000 data points...
[2021-03-16 02:10:44] Test accuracy: 0.9986
[2021-03-16 02:10:44] Score for 275 labels: 0.9986
[2021-03-16 02:10:44] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:10:44] Found 4725 unlabelled features.
[2021-03-16 02:10:44] Showing labelled: True (300/5000 visible)
[2021-03-16 02:10:44] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:10:46] Training loss: 0.0383
[2021-03-16 02:10:46] Testing on 5000 data points...
[2021-03-16 02:10:46] Test accuracy: 0.9976
[2021-03-16 02:10:46] Score for 300 labels: 0.9976
[2021-03-16 02:10:46] Running: experiment 3
[2021-03-16 02:10:46] Showing labelled: True (50/5000 visible)
[2021-03-16 02:10:46] mlp: initialized 1482 parameters.
[2021-03-16 02:10:46] Creating trainer with model on device: cuda
[2021-03-16 02:10:46] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:10:46] Training loss: 1.2922
[2021-03-16 02:10:46] Testing on 5000 data points...
[2021-03-16 02:10:46] Test accuracy: 0.5798
[2021-03-16 02:10:46] Score for 50 labels: 0.5798
[2021-03-16 02:10:46] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:10:46] Found 4950 unlabelled features.
[2021-03-16 02:10:46] Showing labelled: True (75/5000 visible)
[2021-03-16 02:10:46] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:10:46] Training loss: 0.5582
[2021-03-16 02:10:46] Testing on 5000 data points...
[2021-03-16 02:10:46] Test accuracy: 0.6022
[2021-03-16 02:10:46] Score for 75 labels: 0.6022
[2021-03-16 02:10:46] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:10:46] Found 4925 unlabelled features.
[2021-03-16 02:10:46] Showing labelled: True (100/5000 visible)
[2021-03-16 02:10:46] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:10:47] Training loss: 0.2574
[2021-03-16 02:10:47] Testing on 5000 data points...
[2021-03-16 02:10:47] Test accuracy: 0.6894
[2021-03-16 02:10:47] Score for 100 labels: 0.6894
[2021-03-16 02:10:47] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:10:47] Found 4900 unlabelled features.
[2021-03-16 02:10:47] Showing labelled: True (125/5000 visible)
[2021-03-16 02:10:47] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:10:48] Training loss: 0.1512
[2021-03-16 02:10:48] Testing on 5000 data points...
[2021-03-16 02:10:48] Test accuracy: 0.8902
[2021-03-16 02:10:48] Score for 125 labels: 0.8902
[2021-03-16 02:10:48] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:10:48] Found 4875 unlabelled features.
[2021-03-16 02:10:48] Showing labelled: True (150/5000 visible)
[2021-03-16 02:10:48] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:10:48] Training loss: 0.1963
[2021-03-16 02:10:48] Testing on 5000 data points...
[2021-03-16 02:10:48] Test accuracy: 0.9748
[2021-03-16 02:10:48] Score for 150 labels: 0.9748
[2021-03-16 02:10:48] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:10:48] Found 4850 unlabelled features.
[2021-03-16 02:10:49] Showing labelled: True (175/5000 visible)
[2021-03-16 02:10:49] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:10:49] Training loss: 0.0950
[2021-03-16 02:10:49] Testing on 5000 data points...
[2021-03-16 02:10:49] Test accuracy: 0.9832
[2021-03-16 02:10:49] Score for 175 labels: 0.9832
[2021-03-16 02:10:49] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:10:49] Found 4825 unlabelled features.
[2021-03-16 02:10:49] Showing labelled: True (200/5000 visible)
[2021-03-16 02:10:49] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:10:50] Training loss: 0.0888
[2021-03-16 02:10:50] Testing on 5000 data points...
[2021-03-16 02:10:50] Test accuracy: 0.9960
[2021-03-16 02:10:50] Score for 200 labels: 0.9960
[2021-03-16 02:10:50] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:10:50] Found 4800 unlabelled features.
[2021-03-16 02:10:50] Showing labelled: True (225/5000 visible)
[2021-03-16 02:10:50] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:10:52] Training loss: 0.0913
[2021-03-16 02:10:52] Testing on 5000 data points...
[2021-03-16 02:10:52] Test accuracy: 0.9974
[2021-03-16 02:10:52] Score for 225 labels: 0.9974
[2021-03-16 02:10:52] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:10:52] Found 4775 unlabelled features.
[2021-03-16 02:10:52] Showing labelled: True (250/5000 visible)
[2021-03-16 02:10:52] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:10:53] Training loss: 0.0821
[2021-03-16 02:10:53] Testing on 5000 data points...
[2021-03-16 02:10:53] Test accuracy: 0.9986
[2021-03-16 02:10:53] Score for 250 labels: 0.9986
[2021-03-16 02:10:53] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:10:53] Found 4750 unlabelled features.
[2021-03-16 02:10:53] Showing labelled: True (275/5000 visible)
[2021-03-16 02:10:53] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:10:54] Training loss: 0.0580
[2021-03-16 02:10:54] Testing on 5000 data points...
[2021-03-16 02:10:54] Test accuracy: 0.9972
[2021-03-16 02:10:54] Score for 275 labels: 0.9972
[2021-03-16 02:10:54] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:10:54] Found 4725 unlabelled features.
[2021-03-16 02:10:54] Showing labelled: True (300/5000 visible)
[2021-03-16 02:10:54] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:10:56] Training loss: 0.0411
[2021-03-16 02:10:56] Testing on 5000 data points...
[2021-03-16 02:10:56] Test accuracy: 0.9974
[2021-03-16 02:10:56] Score for 300 labels: 0.9974
[2021-03-16 02:10:56] Running: experiment 4
[2021-03-16 02:10:56] Showing labelled: True (50/5000 visible)
[2021-03-16 02:10:56] mlp: initialized 1482 parameters.
[2021-03-16 02:10:56] Creating trainer with model on device: cuda
[2021-03-16 02:10:56] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:10:56] Training loss: 1.3983
[2021-03-16 02:10:56] Testing on 5000 data points...
[2021-03-16 02:10:56] Test accuracy: 0.3514
[2021-03-16 02:10:56] Score for 50 labels: 0.3514
[2021-03-16 02:10:56] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:10:56] Found 4950 unlabelled features.
[2021-03-16 02:10:56] Training GMM (k=50) on labelled features...
[2021-03-16 02:10:56] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:10:57] Scoring random batches...
[2021-03-16 02:10:57] Showing labelled: True (75/5000 visible)
[2021-03-16 02:10:57] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:10:57] Training loss: 0.7170
[2021-03-16 02:10:57] Testing on 5000 data points...
[2021-03-16 02:10:57] Test accuracy: 0.6454
[2021-03-16 02:10:57] Score for 75 labels: 0.6454
[2021-03-16 02:10:57] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:10:57] Found 4925 unlabelled features.
[2021-03-16 02:10:57] Training GMM (k=50) on labelled features...
[2021-03-16 02:10:57] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:10:58] Scoring random batches...
[2021-03-16 02:10:58] Showing labelled: True (100/5000 visible)
[2021-03-16 02:10:58] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:10:58] Training loss: 0.3786
[2021-03-16 02:10:58] Testing on 5000 data points...
[2021-03-16 02:10:58] Test accuracy: 0.6924
[2021-03-16 02:10:58] Score for 100 labels: 0.6924
[2021-03-16 02:10:58] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:10:58] Found 4900 unlabelled features.
[2021-03-16 02:10:58] Training GMM (k=50) on labelled features...
[2021-03-16 02:10:58] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:10:59] Scoring random batches...
[2021-03-16 02:10:59] Showing labelled: True (125/5000 visible)
[2021-03-16 02:10:59] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:11:00] Training loss: 0.2379
[2021-03-16 02:11:00] Testing on 5000 data points...
[2021-03-16 02:11:00] Test accuracy: 0.7984
[2021-03-16 02:11:00] Score for 125 labels: 0.7984
[2021-03-16 02:11:00] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:11:00] Found 4875 unlabelled features.
[2021-03-16 02:11:00] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:00] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:00] Scoring random batches...
[2021-03-16 02:11:00] Showing labelled: True (150/5000 visible)
[2021-03-16 02:11:00] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:11:01] Training loss: 0.1509
[2021-03-16 02:11:01] Testing on 5000 data points...
[2021-03-16 02:11:01] Test accuracy: 0.7984
[2021-03-16 02:11:01] Score for 150 labels: 0.7984
[2021-03-16 02:11:01] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:11:01] Found 4850 unlabelled features.
[2021-03-16 02:11:01] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:01] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:02] Scoring random batches...
[2021-03-16 02:11:02] Showing labelled: True (175/5000 visible)
[2021-03-16 02:11:02] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:11:03] Training loss: 0.1059
[2021-03-16 02:11:03] Testing on 5000 data points...
[2021-03-16 02:11:03] Test accuracy: 0.7990
[2021-03-16 02:11:03] Score for 175 labels: 0.7990
[2021-03-16 02:11:03] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:11:03] Found 4825 unlabelled features.
[2021-03-16 02:11:03] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:03] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:04] Scoring random batches...
[2021-03-16 02:11:04] Showing labelled: True (200/5000 visible)
[2021-03-16 02:11:04] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:11:05] Training loss: 0.0866
[2021-03-16 02:11:05] Testing on 5000 data points...
[2021-03-16 02:11:05] Test accuracy: 0.8168
[2021-03-16 02:11:05] Score for 200 labels: 0.8168
[2021-03-16 02:11:05] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:11:05] Found 4800 unlabelled features.
[2021-03-16 02:11:05] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:05] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:05] Scoring random batches...
[2021-03-16 02:11:05] Showing labelled: True (225/5000 visible)
[2021-03-16 02:11:05] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:11:07] Training loss: 0.0651
[2021-03-16 02:11:07] Testing on 5000 data points...
[2021-03-16 02:11:07] Test accuracy: 0.8740
[2021-03-16 02:11:07] Score for 225 labels: 0.8740
[2021-03-16 02:11:07] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:11:07] Found 4775 unlabelled features.
[2021-03-16 02:11:07] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:07] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:08] Scoring random batches...
[2021-03-16 02:11:08] Showing labelled: True (250/5000 visible)
[2021-03-16 02:11:08] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:11:09] Training loss: 0.0476
[2021-03-16 02:11:09] Testing on 5000 data points...
[2021-03-16 02:11:09] Test accuracy: 0.8884
[2021-03-16 02:11:09] Score for 250 labels: 0.8884
[2021-03-16 02:11:09] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:11:09] Found 4750 unlabelled features.
[2021-03-16 02:11:09] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:09] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:09] Scoring random batches...
[2021-03-16 02:11:09] Showing labelled: True (275/5000 visible)
[2021-03-16 02:11:09] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:11:11] Training loss: 0.0357
[2021-03-16 02:11:11] Testing on 5000 data points...
[2021-03-16 02:11:11] Test accuracy: 0.8950
[2021-03-16 02:11:11] Score for 275 labels: 0.8950
[2021-03-16 02:11:11] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:11:11] Found 4725 unlabelled features.
[2021-03-16 02:11:11] Training GMM (k=50) on labelled features...
[2021-03-16 02:11:11] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:11:12] Scoring random batches...
[2021-03-16 02:11:12] Showing labelled: True (300/5000 visible)
[2021-03-16 02:11:12] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:11:14] Training loss: 0.0250
[2021-03-16 02:11:14] Testing on 5000 data points...
[2021-03-16 02:11:14] Test accuracy: 0.8956
[2021-03-16 02:11:14] Score for 300 labels: 0.8956
[2021-03-16 02:11:14] Experiment repeat 5/10
[2021-03-16 02:11:14] Randomly labelled 50/5000
[2021-03-16 02:11:14] Showing labelled: True (50/5000 visible)
[2021-03-16 02:11:14] Running: experiment 0
[2021-03-16 02:11:14] Showing labelled: True (50/5000 visible)
[2021-03-16 02:11:14] mlp: initialized 1482 parameters.
[2021-03-16 02:11:14] Creating trainer with model on device: cuda
[2021-03-16 02:11:14] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:11:14] Training loss: 1.1614
[2021-03-16 02:11:14] Testing on 5000 data points...
[2021-03-16 02:11:14] Test accuracy: 0.3000
[2021-03-16 02:11:14] Score for 50 labels: 0.3000
[2021-03-16 02:11:14] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:11:14] Found 4950 unlabelled features.
[2021-03-16 02:11:14] Searching core-set greedily...
[2021-03-16 02:11:16] Showing labelled: True (75/5000 visible)
[2021-03-16 02:11:16] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:11:16] Training loss: 0.6970
[2021-03-16 02:11:16] Testing on 5000 data points...
[2021-03-16 02:11:16] Test accuracy: 0.8944
[2021-03-16 02:11:16] Score for 75 labels: 0.8944
[2021-03-16 02:11:16] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:11:16] Found 4925 unlabelled features.
[2021-03-16 02:11:17] Searching core-set greedily...
[2021-03-16 02:11:19] Showing labelled: True (100/5000 visible)
[2021-03-16 02:11:19] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:11:19] Training loss: 0.3372
[2021-03-16 02:11:19] Testing on 5000 data points...
[2021-03-16 02:11:19] Test accuracy: 0.8994
[2021-03-16 02:11:19] Score for 100 labels: 0.8994
[2021-03-16 02:11:19] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:11:19] Found 4900 unlabelled features.
[2021-03-16 02:11:19] Searching core-set greedily...
[2021-03-16 02:11:22] Showing labelled: True (125/5000 visible)
[2021-03-16 02:11:22] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:11:22] Training loss: 0.2315
[2021-03-16 02:11:22] Testing on 5000 data points...
[2021-03-16 02:11:23] Test accuracy: 0.9864
[2021-03-16 02:11:23] Score for 125 labels: 0.9864
[2021-03-16 02:11:23] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:11:23] Found 4875 unlabelled features.
[2021-03-16 02:11:23] Searching core-set greedily...
[2021-03-16 02:11:25] Showing labelled: True (150/5000 visible)
[2021-03-16 02:11:25] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:11:26] Training loss: 0.1460
[2021-03-16 02:11:26] Testing on 5000 data points...
[2021-03-16 02:11:26] Test accuracy: 0.9958
[2021-03-16 02:11:26] Score for 150 labels: 0.9958
[2021-03-16 02:11:26] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:11:26] Found 4850 unlabelled features.
[2021-03-16 02:11:26] Searching core-set greedily...
[2021-03-16 02:11:30] Showing labelled: True (175/5000 visible)
[2021-03-16 02:11:30] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:11:31] Training loss: 0.0972
[2021-03-16 02:11:31] Testing on 5000 data points...
[2021-03-16 02:11:31] Test accuracy: 0.9962
[2021-03-16 02:11:31] Score for 175 labels: 0.9962
[2021-03-16 02:11:31] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:11:31] Found 4825 unlabelled features.
[2021-03-16 02:11:31] Searching core-set greedily...
[2021-03-16 02:11:35] Showing labelled: True (200/5000 visible)
[2021-03-16 02:11:35] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:11:35] Training loss: 0.0711
[2021-03-16 02:11:35] Testing on 5000 data points...
[2021-03-16 02:11:36] Test accuracy: 0.9966
[2021-03-16 02:11:36] Score for 200 labels: 0.9966
[2021-03-16 02:11:36] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:11:36] Found 4800 unlabelled features.
[2021-03-16 02:11:36] Searching core-set greedily...
[2021-03-16 02:11:40] Showing labelled: True (225/5000 visible)
[2021-03-16 02:11:40] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:11:41] Training loss: 0.0539
[2021-03-16 02:11:41] Testing on 5000 data points...
[2021-03-16 02:11:41] Test accuracy: 0.9968
[2021-03-16 02:11:41] Score for 225 labels: 0.9968
[2021-03-16 02:11:41] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:11:41] Found 4775 unlabelled features.
[2021-03-16 02:11:41] Searching core-set greedily...
[2021-03-16 02:11:45] Showing labelled: True (250/5000 visible)
[2021-03-16 02:11:45] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:11:46] Training loss: 0.0439
[2021-03-16 02:11:46] Testing on 5000 data points...
[2021-03-16 02:11:46] Test accuracy: 0.9986
[2021-03-16 02:11:46] Score for 250 labels: 0.9986
[2021-03-16 02:11:46] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:11:46] Found 4750 unlabelled features.
[2021-03-16 02:11:46] Searching core-set greedily...
[2021-03-16 02:11:50] Showing labelled: True (275/5000 visible)
[2021-03-16 02:11:50] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:11:52] Training loss: 0.0360
[2021-03-16 02:11:52] Testing on 5000 data points...
[2021-03-16 02:11:52] Test accuracy: 0.9988
[2021-03-16 02:11:52] Score for 275 labels: 0.9988
[2021-03-16 02:11:52] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:11:52] Found 4725 unlabelled features.
[2021-03-16 02:11:52] Searching core-set greedily...
[2021-03-16 02:11:56] Showing labelled: True (300/5000 visible)
[2021-03-16 02:11:56] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:11:58] Training loss: 0.0305
[2021-03-16 02:11:58] Testing on 5000 data points...
[2021-03-16 02:11:58] Test accuracy: 0.9986
[2021-03-16 02:11:58] Score for 300 labels: 0.9986
[2021-03-16 02:11:58] Running: experiment 1
[2021-03-16 02:11:58] Showing labelled: True (50/5000 visible)
[2021-03-16 02:11:58] mlp: initialized 1482 parameters.
[2021-03-16 02:11:58] Creating trainer with model on device: cuda
[2021-03-16 02:11:58] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:11:58] Training loss: 1.4631
[2021-03-16 02:11:58] Testing on 5000 data points...
[2021-03-16 02:11:58] Test accuracy: 0.3998
[2021-03-16 02:11:58] Score for 50 labels: 0.3998
[2021-03-16 02:11:58] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:11:58] Found 4950 unlabelled features.
[2021-03-16 02:11:58] Showing labelled: True (75/5000 visible)
[2021-03-16 02:11:58] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:11:59] Training loss: 0.7283
[2021-03-16 02:11:59] Testing on 5000 data points...
[2021-03-16 02:11:59] Test accuracy: 0.6986
[2021-03-16 02:11:59] Score for 75 labels: 0.6986
[2021-03-16 02:11:59] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:11:59] Found 4925 unlabelled features.
[2021-03-16 02:11:59] Showing labelled: True (100/5000 visible)
[2021-03-16 02:11:59] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:11:59] Training loss: 0.3478
[2021-03-16 02:11:59] Testing on 5000 data points...
[2021-03-16 02:11:59] Test accuracy: 0.6992
[2021-03-16 02:11:59] Score for 100 labels: 0.6992
[2021-03-16 02:11:59] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:11:59] Found 4900 unlabelled features.
[2021-03-16 02:11:59] Showing labelled: True (125/5000 visible)
[2021-03-16 02:11:59] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:12:00] Training loss: 0.2213
[2021-03-16 02:12:00] Testing on 5000 data points...
[2021-03-16 02:12:00] Test accuracy: 0.7976
[2021-03-16 02:12:00] Score for 125 labels: 0.7976
[2021-03-16 02:12:00] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:12:00] Found 4875 unlabelled features.
[2021-03-16 02:12:00] Showing labelled: True (150/5000 visible)
[2021-03-16 02:12:00] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:12:01] Training loss: 0.1220
[2021-03-16 02:12:01] Testing on 5000 data points...
[2021-03-16 02:12:01] Test accuracy: 0.8990
[2021-03-16 02:12:01] Score for 150 labels: 0.8990
[2021-03-16 02:12:01] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:12:01] Found 4850 unlabelled features.
[2021-03-16 02:12:01] Showing labelled: True (175/5000 visible)
[2021-03-16 02:12:01] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:12:01] Training loss: 0.0946
[2021-03-16 02:12:01] Testing on 5000 data points...
[2021-03-16 02:12:02] Test accuracy: 0.9148
[2021-03-16 02:12:02] Score for 175 labels: 0.9148
[2021-03-16 02:12:02] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:12:02] Found 4825 unlabelled features.
[2021-03-16 02:12:02] Showing labelled: True (200/5000 visible)
[2021-03-16 02:12:02] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:12:02] Training loss: 0.0638
[2021-03-16 02:12:02] Testing on 5000 data points...
[2021-03-16 02:12:03] Test accuracy: 0.9452
[2021-03-16 02:12:03] Score for 200 labels: 0.9452
[2021-03-16 02:12:03] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:12:03] Found 4800 unlabelled features.
[2021-03-16 02:12:03] Showing labelled: True (225/5000 visible)
[2021-03-16 02:12:03] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:12:04] Training loss: 0.0460
[2021-03-16 02:12:04] Testing on 5000 data points...
[2021-03-16 02:12:04] Test accuracy: 0.9800
[2021-03-16 02:12:04] Score for 225 labels: 0.9800
[2021-03-16 02:12:04] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:12:04] Found 4775 unlabelled features.
[2021-03-16 02:12:04] Showing labelled: True (250/5000 visible)
[2021-03-16 02:12:04] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:12:05] Training loss: 0.0323
[2021-03-16 02:12:05] Testing on 5000 data points...
[2021-03-16 02:12:05] Test accuracy: 0.9866
[2021-03-16 02:12:05] Score for 250 labels: 0.9866
[2021-03-16 02:12:05] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:12:05] Found 4750 unlabelled features.
[2021-03-16 02:12:05] Showing labelled: True (275/5000 visible)
[2021-03-16 02:12:05] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:12:06] Training loss: 0.0235
[2021-03-16 02:12:06] Testing on 5000 data points...
[2021-03-16 02:12:06] Test accuracy: 0.9914
[2021-03-16 02:12:06] Score for 275 labels: 0.9914
[2021-03-16 02:12:06] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:12:06] Found 4725 unlabelled features.
[2021-03-16 02:12:06] Showing labelled: True (300/5000 visible)
[2021-03-16 02:12:06] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:12:08] Training loss: 0.0178
[2021-03-16 02:12:08] Testing on 5000 data points...
[2021-03-16 02:12:08] Test accuracy: 0.9920
[2021-03-16 02:12:08] Score for 300 labels: 0.9920
[2021-03-16 02:12:08] Running: experiment 2
[2021-03-16 02:12:08] Showing labelled: True (50/5000 visible)
[2021-03-16 02:12:08] mlp: initialized 1482 parameters.
[2021-03-16 02:12:08] Creating trainer with model on device: cuda
[2021-03-16 02:12:08] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:12:08] Training loss: 1.2480
[2021-03-16 02:12:08] Testing on 5000 data points...
[2021-03-16 02:12:08] Test accuracy: 0.4000
[2021-03-16 02:12:08] Score for 50 labels: 0.4000
[2021-03-16 02:12:08] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:12:08] Found 4950 unlabelled features.
[2021-03-16 02:12:08] Showing labelled: True (75/5000 visible)
[2021-03-16 02:12:08] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:12:09] Training loss: 0.4979
[2021-03-16 02:12:09] Testing on 5000 data points...
[2021-03-16 02:12:09] Test accuracy: 0.5876
[2021-03-16 02:12:09] Score for 75 labels: 0.5876
[2021-03-16 02:12:09] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:12:09] Found 4925 unlabelled features.
[2021-03-16 02:12:09] Showing labelled: True (100/5000 visible)
[2021-03-16 02:12:09] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:12:09] Training loss: 0.2459
[2021-03-16 02:12:09] Testing on 5000 data points...
[2021-03-16 02:12:09] Test accuracy: 0.7064
[2021-03-16 02:12:09] Score for 100 labels: 0.7064
[2021-03-16 02:12:09] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:12:09] Found 4900 unlabelled features.
[2021-03-16 02:12:09] Showing labelled: True (125/5000 visible)
[2021-03-16 02:12:09] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:12:10] Training loss: 0.1347
[2021-03-16 02:12:10] Testing on 5000 data points...
[2021-03-16 02:12:10] Test accuracy: 0.7988
[2021-03-16 02:12:10] Score for 125 labels: 0.7988
[2021-03-16 02:12:10] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:12:10] Found 4875 unlabelled features.
[2021-03-16 02:12:10] Showing labelled: True (150/5000 visible)
[2021-03-16 02:12:10] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:12:11] Training loss: 0.1083
[2021-03-16 02:12:11] Testing on 5000 data points...
[2021-03-16 02:12:11] Test accuracy: 0.7992
[2021-03-16 02:12:11] Score for 150 labels: 0.7992
[2021-03-16 02:12:11] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:12:11] Found 4850 unlabelled features.
[2021-03-16 02:12:11] Showing labelled: True (175/5000 visible)
[2021-03-16 02:12:11] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:12:12] Training loss: 0.1291
[2021-03-16 02:12:12] Testing on 5000 data points...
[2021-03-16 02:12:12] Test accuracy: 0.8796
[2021-03-16 02:12:12] Score for 175 labels: 0.8796
[2021-03-16 02:12:12] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:12:12] Found 4825 unlabelled features.
[2021-03-16 02:12:12] Showing labelled: True (200/5000 visible)
[2021-03-16 02:12:12] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:12:13] Training loss: 0.2002
[2021-03-16 02:12:13] Testing on 5000 data points...
[2021-03-16 02:12:13] Test accuracy: 0.9970
[2021-03-16 02:12:13] Score for 200 labels: 0.9970
[2021-03-16 02:12:13] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:12:13] Found 4800 unlabelled features.
[2021-03-16 02:12:13] Showing labelled: True (225/5000 visible)
[2021-03-16 02:12:13] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:12:14] Training loss: 0.1221
[2021-03-16 02:12:14] Testing on 5000 data points...
[2021-03-16 02:12:14] Test accuracy: 0.9944
[2021-03-16 02:12:14] Score for 225 labels: 0.9944
[2021-03-16 02:12:14] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:12:14] Found 4775 unlabelled features.
[2021-03-16 02:12:14] Showing labelled: True (250/5000 visible)
[2021-03-16 02:12:14] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:12:15] Training loss: 0.0931
[2021-03-16 02:12:15] Testing on 5000 data points...
[2021-03-16 02:12:15] Test accuracy: 0.9982
[2021-03-16 02:12:15] Score for 250 labels: 0.9982
[2021-03-16 02:12:15] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:12:15] Found 4750 unlabelled features.
[2021-03-16 02:12:15] Showing labelled: True (275/5000 visible)
[2021-03-16 02:12:15] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:12:16] Training loss: 0.0714
[2021-03-16 02:12:16] Testing on 5000 data points...
[2021-03-16 02:12:16] Test accuracy: 0.9988
[2021-03-16 02:12:16] Score for 275 labels: 0.9988
[2021-03-16 02:12:16] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:12:16] Found 4725 unlabelled features.
[2021-03-16 02:12:16] Showing labelled: True (300/5000 visible)
[2021-03-16 02:12:16] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:12:18] Training loss: 0.0466
[2021-03-16 02:12:18] Testing on 5000 data points...
[2021-03-16 02:12:18] Test accuracy: 0.9978
[2021-03-16 02:12:18] Score for 300 labels: 0.9978
[2021-03-16 02:12:18] Running: experiment 3
[2021-03-16 02:12:18] Showing labelled: True (50/5000 visible)
[2021-03-16 02:12:18] mlp: initialized 1482 parameters.
[2021-03-16 02:12:18] Creating trainer with model on device: cuda
[2021-03-16 02:12:18] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:12:18] Training loss: 1.2727
[2021-03-16 02:12:18] Testing on 5000 data points...
[2021-03-16 02:12:18] Test accuracy: 0.4000
[2021-03-16 02:12:18] Score for 50 labels: 0.4000
[2021-03-16 02:12:18] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:12:18] Found 4950 unlabelled features.
[2021-03-16 02:12:18] Showing labelled: True (75/5000 visible)
[2021-03-16 02:12:18] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:12:19] Training loss: 0.5187
[2021-03-16 02:12:19] Testing on 5000 data points...
[2021-03-16 02:12:19] Test accuracy: 0.5628
[2021-03-16 02:12:19] Score for 75 labels: 0.5628
[2021-03-16 02:12:19] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:12:19] Found 4925 unlabelled features.
[2021-03-16 02:12:19] Showing labelled: True (100/5000 visible)
[2021-03-16 02:12:19] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:12:19] Training loss: 0.2580
[2021-03-16 02:12:19] Testing on 5000 data points...
[2021-03-16 02:12:19] Test accuracy: 0.7592
[2021-03-16 02:12:19] Score for 100 labels: 0.7592
[2021-03-16 02:12:19] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:12:19] Found 4900 unlabelled features.
[2021-03-16 02:12:19] Showing labelled: True (125/5000 visible)
[2021-03-16 02:12:19] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:12:20] Training loss: 0.1424
[2021-03-16 02:12:20] Testing on 5000 data points...
[2021-03-16 02:12:20] Test accuracy: 0.7988
[2021-03-16 02:12:20] Score for 125 labels: 0.7988
[2021-03-16 02:12:20] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:12:20] Found 4875 unlabelled features.
[2021-03-16 02:12:20] Showing labelled: True (150/5000 visible)
[2021-03-16 02:12:20] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:12:21] Training loss: 0.1366
[2021-03-16 02:12:21] Testing on 5000 data points...
[2021-03-16 02:12:21] Test accuracy: 0.8000
[2021-03-16 02:12:21] Score for 150 labels: 0.8000
[2021-03-16 02:12:21] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:12:21] Found 4850 unlabelled features.
[2021-03-16 02:12:21] Showing labelled: True (175/5000 visible)
[2021-03-16 02:12:21] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:12:22] Training loss: 0.1197
[2021-03-16 02:12:22] Testing on 5000 data points...
[2021-03-16 02:12:22] Test accuracy: 0.8318
[2021-03-16 02:12:22] Score for 175 labels: 0.8318
[2021-03-16 02:12:22] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:12:22] Found 4825 unlabelled features.
[2021-03-16 02:12:22] Showing labelled: True (200/5000 visible)
[2021-03-16 02:12:22] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:12:23] Training loss: 0.0792
[2021-03-16 02:12:23] Testing on 5000 data points...
[2021-03-16 02:12:23] Test accuracy: 0.8956
[2021-03-16 02:12:23] Score for 200 labels: 0.8956
[2021-03-16 02:12:23] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:12:23] Found 4800 unlabelled features.
[2021-03-16 02:12:23] Showing labelled: True (225/5000 visible)
[2021-03-16 02:12:23] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:12:24] Training loss: 0.0766
[2021-03-16 02:12:24] Testing on 5000 data points...
[2021-03-16 02:12:24] Test accuracy: 0.8972
[2021-03-16 02:12:24] Score for 225 labels: 0.8972
[2021-03-16 02:12:24] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:12:24] Found 4775 unlabelled features.
[2021-03-16 02:12:24] Showing labelled: True (250/5000 visible)
[2021-03-16 02:12:24] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:12:25] Training loss: 0.0702
[2021-03-16 02:12:25] Testing on 5000 data points...
[2021-03-16 02:12:25] Test accuracy: 0.8972
[2021-03-16 02:12:25] Score for 250 labels: 0.8972
[2021-03-16 02:12:25] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:12:25] Found 4750 unlabelled features.
[2021-03-16 02:12:25] Showing labelled: True (275/5000 visible)
[2021-03-16 02:12:25] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:12:26] Training loss: 0.1056
[2021-03-16 02:12:26] Testing on 5000 data points...
[2021-03-16 02:12:26] Test accuracy: 0.9972
[2021-03-16 02:12:26] Score for 275 labels: 0.9972
[2021-03-16 02:12:26] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:12:26] Found 4725 unlabelled features.
[2021-03-16 02:12:27] Showing labelled: True (300/5000 visible)
[2021-03-16 02:12:27] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:12:28] Training loss: 0.0468
[2021-03-16 02:12:28] Testing on 5000 data points...
[2021-03-16 02:12:28] Test accuracy: 0.9976
[2021-03-16 02:12:28] Score for 300 labels: 0.9976
[2021-03-16 02:12:28] Running: experiment 4
[2021-03-16 02:12:28] Showing labelled: True (50/5000 visible)
[2021-03-16 02:12:28] mlp: initialized 1482 parameters.
[2021-03-16 02:12:28] Creating trainer with model on device: cuda
[2021-03-16 02:12:28] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:12:28] Training loss: 1.3793
[2021-03-16 02:12:28] Testing on 5000 data points...
[2021-03-16 02:12:28] Test accuracy: 0.3946
[2021-03-16 02:12:28] Score for 50 labels: 0.3946
[2021-03-16 02:12:28] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:12:28] Found 4950 unlabelled features.
[2021-03-16 02:12:28] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:28] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:29] Scoring random batches...
[2021-03-16 02:12:29] Showing labelled: True (75/5000 visible)
[2021-03-16 02:12:29] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:12:29] Training loss: 0.7351
[2021-03-16 02:12:29] Testing on 5000 data points...
[2021-03-16 02:12:29] Test accuracy: 0.7592
[2021-03-16 02:12:29] Score for 75 labels: 0.7592
[2021-03-16 02:12:29] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:12:29] Found 4925 unlabelled features.
[2021-03-16 02:12:29] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:29] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:30] Scoring random batches...
[2021-03-16 02:12:30] Showing labelled: True (100/5000 visible)
[2021-03-16 02:12:30] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:12:30] Training loss: 0.3840
[2021-03-16 02:12:30] Testing on 5000 data points...
[2021-03-16 02:12:30] Test accuracy: 0.8848
[2021-03-16 02:12:30] Score for 100 labels: 0.8848
[2021-03-16 02:12:30] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:12:30] Found 4900 unlabelled features.
[2021-03-16 02:12:30] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:31] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:31] Scoring random batches...
[2021-03-16 02:12:31] Showing labelled: True (125/5000 visible)
[2021-03-16 02:12:31] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:12:32] Training loss: 0.2166
[2021-03-16 02:12:32] Testing on 5000 data points...
[2021-03-16 02:12:32] Test accuracy: 0.8988
[2021-03-16 02:12:32] Score for 125 labels: 0.8988
[2021-03-16 02:12:32] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:12:32] Found 4875 unlabelled features.
[2021-03-16 02:12:32] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:32] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:32] Scoring random batches...
[2021-03-16 02:12:32] Showing labelled: True (150/5000 visible)
[2021-03-16 02:12:32] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:12:33] Training loss: 0.1453
[2021-03-16 02:12:33] Testing on 5000 data points...
[2021-03-16 02:12:33] Test accuracy: 0.9204
[2021-03-16 02:12:33] Score for 150 labels: 0.9204
[2021-03-16 02:12:33] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:12:33] Found 4850 unlabelled features.
[2021-03-16 02:12:33] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:33] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:34] Scoring random batches...
[2021-03-16 02:12:34] Showing labelled: True (175/5000 visible)
[2021-03-16 02:12:34] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:12:35] Training loss: 0.0962
[2021-03-16 02:12:35] Testing on 5000 data points...
[2021-03-16 02:12:35] Test accuracy: 0.9498
[2021-03-16 02:12:35] Score for 175 labels: 0.9498
[2021-03-16 02:12:35] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:12:35] Found 4825 unlabelled features.
[2021-03-16 02:12:35] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:35] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:35] Scoring random batches...
[2021-03-16 02:12:35] Showing labelled: True (200/5000 visible)
[2021-03-16 02:12:35] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:12:36] Training loss: 0.0597
[2021-03-16 02:12:36] Testing on 5000 data points...
[2021-03-16 02:12:36] Test accuracy: 0.9742
[2021-03-16 02:12:36] Score for 200 labels: 0.9742
[2021-03-16 02:12:36] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:12:36] Found 4800 unlabelled features.
[2021-03-16 02:12:36] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:37] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:37] Scoring random batches...
[2021-03-16 02:12:37] Showing labelled: True (225/5000 visible)
[2021-03-16 02:12:37] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:12:38] Training loss: 0.0381
[2021-03-16 02:12:38] Testing on 5000 data points...
[2021-03-16 02:12:38] Test accuracy: 0.9840
[2021-03-16 02:12:38] Score for 225 labels: 0.9840
[2021-03-16 02:12:38] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:12:38] Found 4775 unlabelled features.
[2021-03-16 02:12:38] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:39] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:39] Scoring random batches...
[2021-03-16 02:12:39] Showing labelled: True (250/5000 visible)
[2021-03-16 02:12:39] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:12:40] Training loss: 0.0300
[2021-03-16 02:12:40] Testing on 5000 data points...
[2021-03-16 02:12:40] Test accuracy: 0.9934
[2021-03-16 02:12:40] Score for 250 labels: 0.9934
[2021-03-16 02:12:40] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:12:40] Found 4750 unlabelled features.
[2021-03-16 02:12:40] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:40] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:41] Scoring random batches...
[2021-03-16 02:12:41] Showing labelled: True (275/5000 visible)
[2021-03-16 02:12:41] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:12:42] Training loss: 0.0194
[2021-03-16 02:12:42] Testing on 5000 data points...
[2021-03-16 02:12:42] Test accuracy: 0.9946
[2021-03-16 02:12:42] Score for 275 labels: 0.9946
[2021-03-16 02:12:42] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:12:42] Found 4725 unlabelled features.
[2021-03-16 02:12:42] Training GMM (k=50) on labelled features...
[2021-03-16 02:12:43] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:12:43] Scoring random batches...
[2021-03-16 02:12:43] Showing labelled: True (300/5000 visible)
[2021-03-16 02:12:43] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:12:44] Training loss: 0.0148
[2021-03-16 02:12:44] Testing on 5000 data points...
[2021-03-16 02:12:44] Test accuracy: 0.9952
[2021-03-16 02:12:44] Score for 300 labels: 0.9952
[2021-03-16 02:12:44] Experiment repeat 6/10
[2021-03-16 02:12:44] Randomly labelled 50/5000
[2021-03-16 02:12:44] Showing labelled: True (50/5000 visible)
[2021-03-16 02:12:44] Running: experiment 0
[2021-03-16 02:12:44] Showing labelled: True (50/5000 visible)
[2021-03-16 02:12:44] mlp: initialized 1482 parameters.
[2021-03-16 02:12:44] Creating trainer with model on device: cuda
[2021-03-16 02:12:44] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:12:45] Training loss: 1.2621
[2021-03-16 02:12:45] Testing on 5000 data points...
[2021-03-16 02:12:45] Test accuracy: 0.4958
[2021-03-16 02:12:45] Score for 50 labels: 0.4958
[2021-03-16 02:12:45] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:12:45] Found 4950 unlabelled features.
[2021-03-16 02:12:45] Searching core-set greedily...
[2021-03-16 02:12:47] Showing labelled: True (75/5000 visible)
[2021-03-16 02:12:47] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:12:47] Training loss: 0.7699
[2021-03-16 02:12:47] Testing on 5000 data points...
[2021-03-16 02:12:47] Test accuracy: 0.8838
[2021-03-16 02:12:47] Score for 75 labels: 0.8838
[2021-03-16 02:12:47] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:12:47] Found 4925 unlabelled features.
[2021-03-16 02:12:47] Searching core-set greedily...
[2021-03-16 02:12:50] Showing labelled: True (100/5000 visible)
[2021-03-16 02:12:50] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:12:50] Training loss: 0.3331
[2021-03-16 02:12:50] Testing on 5000 data points...
[2021-03-16 02:12:50] Test accuracy: 0.9006
[2021-03-16 02:12:50] Score for 100 labels: 0.9006
[2021-03-16 02:12:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:12:50] Found 4900 unlabelled features.
[2021-03-16 02:12:50] Searching core-set greedily...
[2021-03-16 02:12:53] Showing labelled: True (125/5000 visible)
[2021-03-16 02:12:53] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:12:53] Training loss: 0.2274
[2021-03-16 02:12:53] Testing on 5000 data points...
[2021-03-16 02:12:53] Test accuracy: 0.9930
[2021-03-16 02:12:53] Score for 125 labels: 0.9930
[2021-03-16 02:12:53] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:12:53] Found 4875 unlabelled features.
[2021-03-16 02:12:53] Searching core-set greedily...
[2021-03-16 02:12:56] Showing labelled: True (150/5000 visible)
[2021-03-16 02:12:56] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:12:57] Training loss: 0.1455
[2021-03-16 02:12:57] Testing on 5000 data points...
[2021-03-16 02:12:57] Test accuracy: 0.9958
[2021-03-16 02:12:57] Score for 150 labels: 0.9958
[2021-03-16 02:12:57] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:12:57] Found 4850 unlabelled features.
[2021-03-16 02:12:57] Searching core-set greedily...
[2021-03-16 02:13:00] Showing labelled: True (175/5000 visible)
[2021-03-16 02:13:00] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:13:01] Training loss: 0.0975
[2021-03-16 02:13:01] Testing on 5000 data points...
[2021-03-16 02:13:01] Test accuracy: 0.9966
[2021-03-16 02:13:01] Score for 175 labels: 0.9966
[2021-03-16 02:13:01] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:13:01] Found 4825 unlabelled features.
[2021-03-16 02:13:01] Searching core-set greedily...
[2021-03-16 02:13:05] Showing labelled: True (200/5000 visible)
[2021-03-16 02:13:05] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:13:06] Training loss: 0.0692
[2021-03-16 02:13:06] Testing on 5000 data points...
[2021-03-16 02:13:06] Test accuracy: 0.9984
[2021-03-16 02:13:06] Score for 200 labels: 0.9984
[2021-03-16 02:13:06] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:13:06] Found 4800 unlabelled features.
[2021-03-16 02:13:06] Searching core-set greedily...
[2021-03-16 02:13:10] Showing labelled: True (225/5000 visible)
[2021-03-16 02:13:10] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:13:11] Training loss: 0.0525
[2021-03-16 02:13:11] Testing on 5000 data points...
[2021-03-16 02:13:11] Test accuracy: 0.9990
[2021-03-16 02:13:11] Score for 225 labels: 0.9990
[2021-03-16 02:13:11] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:13:11] Found 4775 unlabelled features.
[2021-03-16 02:13:11] Searching core-set greedily...
[2021-03-16 02:13:16] Showing labelled: True (250/5000 visible)
[2021-03-16 02:13:16] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:13:17] Training loss: 0.0430
[2021-03-16 02:13:17] Testing on 5000 data points...
[2021-03-16 02:13:17] Test accuracy: 0.9986
[2021-03-16 02:13:17] Score for 250 labels: 0.9986
[2021-03-16 02:13:17] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:13:17] Found 4750 unlabelled features.
[2021-03-16 02:13:17] Searching core-set greedily...
[2021-03-16 02:13:21] Showing labelled: True (275/5000 visible)
[2021-03-16 02:13:21] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:13:22] Training loss: 0.0330
[2021-03-16 02:13:22] Testing on 5000 data points...
[2021-03-16 02:13:22] Test accuracy: 0.9986
[2021-03-16 02:13:22] Score for 275 labels: 0.9986
[2021-03-16 02:13:22] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:13:22] Found 4725 unlabelled features.
[2021-03-16 02:13:22] Searching core-set greedily...
[2021-03-16 02:13:27] Showing labelled: True (300/5000 visible)
[2021-03-16 02:13:27] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:13:28] Training loss: 0.0259
[2021-03-16 02:13:28] Testing on 5000 data points...
[2021-03-16 02:13:28] Test accuracy: 0.9986
[2021-03-16 02:13:28] Score for 300 labels: 0.9986
[2021-03-16 02:13:28] Running: experiment 1
[2021-03-16 02:13:28] Showing labelled: True (50/5000 visible)
[2021-03-16 02:13:28] mlp: initialized 1482 parameters.
[2021-03-16 02:13:28] Creating trainer with model on device: cuda
[2021-03-16 02:13:28] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:13:29] Training loss: 1.2741
[2021-03-16 02:13:29] Testing on 5000 data points...
[2021-03-16 02:13:29] Test accuracy: 0.3852
[2021-03-16 02:13:29] Score for 50 labels: 0.3852
[2021-03-16 02:13:29] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:13:29] Found 4950 unlabelled features.
[2021-03-16 02:13:29] Showing labelled: True (75/5000 visible)
[2021-03-16 02:13:29] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:13:29] Training loss: 0.5345
[2021-03-16 02:13:29] Testing on 5000 data points...
[2021-03-16 02:13:29] Test accuracy: 0.6000
[2021-03-16 02:13:29] Score for 75 labels: 0.6000
[2021-03-16 02:13:29] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:13:29] Found 4925 unlabelled features.
[2021-03-16 02:13:29] Showing labelled: True (100/5000 visible)
[2021-03-16 02:13:29] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:13:30] Training loss: 0.3913
[2021-03-16 02:13:30] Testing on 5000 data points...
[2021-03-16 02:13:30] Test accuracy: 0.6428
[2021-03-16 02:13:30] Score for 100 labels: 0.6428
[2021-03-16 02:13:30] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:13:30] Found 4900 unlabelled features.
[2021-03-16 02:13:30] Showing labelled: True (125/5000 visible)
[2021-03-16 02:13:30] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:13:30] Training loss: 0.2371
[2021-03-16 02:13:30] Testing on 5000 data points...
[2021-03-16 02:13:30] Test accuracy: 0.8976
[2021-03-16 02:13:30] Score for 125 labels: 0.8976
[2021-03-16 02:13:30] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:13:30] Found 4875 unlabelled features.
[2021-03-16 02:13:31] Showing labelled: True (150/5000 visible)
[2021-03-16 02:13:31] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:13:31] Training loss: 0.1447
[2021-03-16 02:13:31] Testing on 5000 data points...
[2021-03-16 02:13:31] Test accuracy: 0.9304
[2021-03-16 02:13:31] Score for 150 labels: 0.9304
[2021-03-16 02:13:31] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:13:31] Found 4850 unlabelled features.
[2021-03-16 02:13:31] Showing labelled: True (175/5000 visible)
[2021-03-16 02:13:31] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:13:32] Training loss: 0.0982
[2021-03-16 02:13:32] Testing on 5000 data points...
[2021-03-16 02:13:32] Test accuracy: 0.9842
[2021-03-16 02:13:32] Score for 175 labels: 0.9842
[2021-03-16 02:13:32] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:13:32] Found 4825 unlabelled features.
[2021-03-16 02:13:32] Showing labelled: True (200/5000 visible)
[2021-03-16 02:13:32] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:13:33] Training loss: 0.0599
[2021-03-16 02:13:33] Testing on 5000 data points...
[2021-03-16 02:13:33] Test accuracy: 0.9940
[2021-03-16 02:13:33] Score for 200 labels: 0.9940
[2021-03-16 02:13:33] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:13:33] Found 4800 unlabelled features.
[2021-03-16 02:13:33] Showing labelled: True (225/5000 visible)
[2021-03-16 02:13:33] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:13:34] Training loss: 0.0406
[2021-03-16 02:13:34] Testing on 5000 data points...
[2021-03-16 02:13:34] Test accuracy: 0.9952
[2021-03-16 02:13:34] Score for 225 labels: 0.9952
[2021-03-16 02:13:34] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:13:34] Found 4775 unlabelled features.
[2021-03-16 02:13:34] Showing labelled: True (250/5000 visible)
[2021-03-16 02:13:34] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:13:36] Training loss: 0.0283
[2021-03-16 02:13:36] Testing on 5000 data points...
[2021-03-16 02:13:36] Test accuracy: 0.9962
[2021-03-16 02:13:36] Score for 250 labels: 0.9962
[2021-03-16 02:13:36] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:13:36] Found 4750 unlabelled features.
[2021-03-16 02:13:36] Showing labelled: True (275/5000 visible)
[2021-03-16 02:13:36] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:13:37] Training loss: 0.0203
[2021-03-16 02:13:37] Testing on 5000 data points...
[2021-03-16 02:13:37] Test accuracy: 0.9968
[2021-03-16 02:13:37] Score for 275 labels: 0.9968
[2021-03-16 02:13:37] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:13:37] Found 4725 unlabelled features.
[2021-03-16 02:13:37] Showing labelled: True (300/5000 visible)
[2021-03-16 02:13:37] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:13:38] Training loss: 0.0170
[2021-03-16 02:13:38] Testing on 5000 data points...
[2021-03-16 02:13:38] Test accuracy: 0.9970
[2021-03-16 02:13:38] Score for 300 labels: 0.9970
[2021-03-16 02:13:38] Running: experiment 2
[2021-03-16 02:13:38] Showing labelled: True (50/5000 visible)
[2021-03-16 02:13:38] mlp: initialized 1482 parameters.
[2021-03-16 02:13:38] Creating trainer with model on device: cuda
[2021-03-16 02:13:38] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:13:39] Training loss: 1.0507
[2021-03-16 02:13:39] Testing on 5000 data points...
[2021-03-16 02:13:39] Test accuracy: 0.4924
[2021-03-16 02:13:39] Score for 50 labels: 0.4924
[2021-03-16 02:13:39] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:13:39] Found 4950 unlabelled features.
[2021-03-16 02:13:39] Showing labelled: True (75/5000 visible)
[2021-03-16 02:13:39] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:13:39] Training loss: 0.3702
[2021-03-16 02:13:39] Testing on 5000 data points...
[2021-03-16 02:13:39] Test accuracy: 0.6396
[2021-03-16 02:13:39] Score for 75 labels: 0.6396
[2021-03-16 02:13:39] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:13:39] Found 4925 unlabelled features.
[2021-03-16 02:13:39] Showing labelled: True (100/5000 visible)
[2021-03-16 02:13:39] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:13:40] Training loss: 0.2195
[2021-03-16 02:13:40] Testing on 5000 data points...
[2021-03-16 02:13:40] Test accuracy: 0.6994
[2021-03-16 02:13:40] Score for 100 labels: 0.6994
[2021-03-16 02:13:40] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:13:40] Found 4900 unlabelled features.
[2021-03-16 02:13:40] Showing labelled: True (125/5000 visible)
[2021-03-16 02:13:40] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:13:40] Training loss: 0.2050
[2021-03-16 02:13:40] Testing on 5000 data points...
[2021-03-16 02:13:41] Test accuracy: 0.7978
[2021-03-16 02:13:41] Score for 125 labels: 0.7978
[2021-03-16 02:13:41] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:13:41] Found 4875 unlabelled features.
[2021-03-16 02:13:41] Showing labelled: True (150/5000 visible)
[2021-03-16 02:13:41] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:13:41] Training loss: 0.1454
[2021-03-16 02:13:41] Testing on 5000 data points...
[2021-03-16 02:13:41] Test accuracy: 0.8996
[2021-03-16 02:13:41] Score for 150 labels: 0.8996
[2021-03-16 02:13:41] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:13:41] Found 4850 unlabelled features.
[2021-03-16 02:13:41] Showing labelled: True (175/5000 visible)
[2021-03-16 02:13:41] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:13:42] Training loss: 0.1416
[2021-03-16 02:13:42] Testing on 5000 data points...
[2021-03-16 02:13:42] Test accuracy: 0.9432
[2021-03-16 02:13:42] Score for 175 labels: 0.9432
[2021-03-16 02:13:42] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:13:42] Found 4825 unlabelled features.
[2021-03-16 02:13:42] Showing labelled: True (200/5000 visible)
[2021-03-16 02:13:42] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:13:43] Training loss: 0.1158
[2021-03-16 02:13:43] Testing on 5000 data points...
[2021-03-16 02:13:43] Test accuracy: 0.9960
[2021-03-16 02:13:43] Score for 200 labels: 0.9960
[2021-03-16 02:13:43] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:13:43] Found 4800 unlabelled features.
[2021-03-16 02:13:43] Showing labelled: True (225/5000 visible)
[2021-03-16 02:13:43] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:13:44] Training loss: 0.0986
[2021-03-16 02:13:44] Testing on 5000 data points...
[2021-03-16 02:13:44] Test accuracy: 0.9940
[2021-03-16 02:13:44] Score for 225 labels: 0.9940
[2021-03-16 02:13:44] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:13:44] Found 4775 unlabelled features.
[2021-03-16 02:13:44] Showing labelled: True (250/5000 visible)
[2021-03-16 02:13:44] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:13:46] Training loss: 0.0855
[2021-03-16 02:13:46] Testing on 5000 data points...
[2021-03-16 02:13:46] Test accuracy: 0.9980
[2021-03-16 02:13:46] Score for 250 labels: 0.9980
[2021-03-16 02:13:46] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:13:46] Found 4750 unlabelled features.
[2021-03-16 02:13:46] Showing labelled: True (275/5000 visible)
[2021-03-16 02:13:46] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:13:47] Training loss: 0.0765
[2021-03-16 02:13:47] Testing on 5000 data points...
[2021-03-16 02:13:47] Test accuracy: 0.9970
[2021-03-16 02:13:47] Score for 275 labels: 0.9970
[2021-03-16 02:13:47] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:13:47] Found 4725 unlabelled features.
[2021-03-16 02:13:47] Showing labelled: True (300/5000 visible)
[2021-03-16 02:13:47] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:13:48] Training loss: 0.0523
[2021-03-16 02:13:48] Testing on 5000 data points...
[2021-03-16 02:13:48] Test accuracy: 0.9974
[2021-03-16 02:13:48] Score for 300 labels: 0.9974
[2021-03-16 02:13:48] Running: experiment 3
[2021-03-16 02:13:48] Showing labelled: True (50/5000 visible)
[2021-03-16 02:13:48] mlp: initialized 1482 parameters.
[2021-03-16 02:13:48] Creating trainer with model on device: cuda
[2021-03-16 02:13:48] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:13:49] Training loss: 1.1664
[2021-03-16 02:13:49] Testing on 5000 data points...
[2021-03-16 02:13:49] Test accuracy: 0.4764
[2021-03-16 02:13:49] Score for 50 labels: 0.4764
[2021-03-16 02:13:49] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:13:49] Found 4950 unlabelled features.
[2021-03-16 02:13:49] Showing labelled: True (75/5000 visible)
[2021-03-16 02:13:49] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:13:49] Training loss: 0.4120
[2021-03-16 02:13:49] Testing on 5000 data points...
[2021-03-16 02:13:49] Test accuracy: 0.6000
[2021-03-16 02:13:49] Score for 75 labels: 0.6000
[2021-03-16 02:13:49] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:13:49] Found 4925 unlabelled features.
[2021-03-16 02:13:49] Showing labelled: True (100/5000 visible)
[2021-03-16 02:13:49] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:13:50] Training loss: 0.2389
[2021-03-16 02:13:50] Testing on 5000 data points...
[2021-03-16 02:13:50] Test accuracy: 0.6078
[2021-03-16 02:13:50] Score for 100 labels: 0.6078
[2021-03-16 02:13:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:13:50] Found 4900 unlabelled features.
[2021-03-16 02:13:50] Showing labelled: True (125/5000 visible)
[2021-03-16 02:13:50] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:13:51] Training loss: 0.1376
[2021-03-16 02:13:51] Testing on 5000 data points...
[2021-03-16 02:13:51] Test accuracy: 0.6752
[2021-03-16 02:13:51] Score for 125 labels: 0.6752
[2021-03-16 02:13:51] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:13:51] Found 4875 unlabelled features.
[2021-03-16 02:13:51] Showing labelled: True (150/5000 visible)
[2021-03-16 02:13:51] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:13:51] Training loss: 0.1383
[2021-03-16 02:13:51] Testing on 5000 data points...
[2021-03-16 02:13:51] Test accuracy: 0.7976
[2021-03-16 02:13:51] Score for 150 labels: 0.7976
[2021-03-16 02:13:51] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:13:51] Found 4850 unlabelled features.
[2021-03-16 02:13:51] Showing labelled: True (175/5000 visible)
[2021-03-16 02:13:51] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:13:52] Training loss: 0.0730
[2021-03-16 02:13:52] Testing on 5000 data points...
[2021-03-16 02:13:52] Test accuracy: 0.7994
[2021-03-16 02:13:52] Score for 175 labels: 0.7994
[2021-03-16 02:13:52] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:13:52] Found 4825 unlabelled features.
[2021-03-16 02:13:52] Showing labelled: True (200/5000 visible)
[2021-03-16 02:13:52] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:13:53] Training loss: 0.0889
[2021-03-16 02:13:53] Testing on 5000 data points...
[2021-03-16 02:13:53] Test accuracy: 0.8228
[2021-03-16 02:13:53] Score for 200 labels: 0.8228
[2021-03-16 02:13:53] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:13:53] Found 4800 unlabelled features.
[2021-03-16 02:13:53] Showing labelled: True (225/5000 visible)
[2021-03-16 02:13:53] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:13:54] Training loss: 0.0636
[2021-03-16 02:13:54] Testing on 5000 data points...
[2021-03-16 02:13:55] Test accuracy: 0.8922
[2021-03-16 02:13:55] Score for 225 labels: 0.8922
[2021-03-16 02:13:55] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:13:55] Found 4775 unlabelled features.
[2021-03-16 02:13:55] Showing labelled: True (250/5000 visible)
[2021-03-16 02:13:55] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:13:56] Training loss: 0.0560
[2021-03-16 02:13:56] Testing on 5000 data points...
[2021-03-16 02:13:56] Test accuracy: 0.8980
[2021-03-16 02:13:56] Score for 250 labels: 0.8980
[2021-03-16 02:13:56] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:13:56] Found 4750 unlabelled features.
[2021-03-16 02:13:56] Showing labelled: True (275/5000 visible)
[2021-03-16 02:13:56] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:13:57] Training loss: 0.0537
[2021-03-16 02:13:57] Testing on 5000 data points...
[2021-03-16 02:13:57] Test accuracy: 0.8970
[2021-03-16 02:13:57] Score for 275 labels: 0.8970
[2021-03-16 02:13:57] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:13:57] Found 4725 unlabelled features.
[2021-03-16 02:13:57] Showing labelled: True (300/5000 visible)
[2021-03-16 02:13:57] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:13:59] Training loss: 0.0577
[2021-03-16 02:13:59] Testing on 5000 data points...
[2021-03-16 02:13:59] Test accuracy: 0.8984
[2021-03-16 02:13:59] Score for 300 labels: 0.8984
[2021-03-16 02:13:59] Running: experiment 4
[2021-03-16 02:13:59] Showing labelled: True (50/5000 visible)
[2021-03-16 02:13:59] mlp: initialized 1482 parameters.
[2021-03-16 02:13:59] Creating trainer with model on device: cuda
[2021-03-16 02:13:59] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:13:59] Training loss: 1.1893
[2021-03-16 02:13:59] Testing on 5000 data points...
[2021-03-16 02:13:59] Test accuracy: 0.4874
[2021-03-16 02:13:59] Score for 50 labels: 0.4874
[2021-03-16 02:13:59] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:13:59] Found 4950 unlabelled features.
[2021-03-16 02:13:59] Training GMM (k=50) on labelled features...
[2021-03-16 02:13:59] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:13:59] Scoring random batches...
[2021-03-16 02:13:59] Showing labelled: True (75/5000 visible)
[2021-03-16 02:13:59] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:14:00] Training loss: 0.4481
[2021-03-16 02:14:00] Testing on 5000 data points...
[2021-03-16 02:14:00] Test accuracy: 0.5652
[2021-03-16 02:14:00] Score for 75 labels: 0.5652
[2021-03-16 02:14:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:14:00] Found 4925 unlabelled features.
[2021-03-16 02:14:00] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:00] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:00] Scoring random batches...
[2021-03-16 02:14:00] Showing labelled: True (100/5000 visible)
[2021-03-16 02:14:00] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:14:01] Training loss: 0.2551
[2021-03-16 02:14:01] Testing on 5000 data points...
[2021-03-16 02:14:01] Test accuracy: 0.6982
[2021-03-16 02:14:01] Score for 100 labels: 0.6982
[2021-03-16 02:14:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:14:01] Found 4900 unlabelled features.
[2021-03-16 02:14:01] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:01] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:01] Scoring random batches...
[2021-03-16 02:14:01] Showing labelled: True (125/5000 visible)
[2021-03-16 02:14:01] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:14:02] Training loss: 0.2436
[2021-03-16 02:14:02] Testing on 5000 data points...
[2021-03-16 02:14:02] Test accuracy: 0.8392
[2021-03-16 02:14:02] Score for 125 labels: 0.8392
[2021-03-16 02:14:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:14:02] Found 4875 unlabelled features.
[2021-03-16 02:14:02] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:02] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:03] Scoring random batches...
[2021-03-16 02:14:03] Showing labelled: True (150/5000 visible)
[2021-03-16 02:14:03] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:14:04] Training loss: 0.1432
[2021-03-16 02:14:04] Testing on 5000 data points...
[2021-03-16 02:14:04] Test accuracy: 0.8996
[2021-03-16 02:14:04] Score for 150 labels: 0.8996
[2021-03-16 02:14:04] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:14:04] Found 4850 unlabelled features.
[2021-03-16 02:14:04] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:04] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:04] Scoring random batches...
[2021-03-16 02:14:04] Showing labelled: True (175/5000 visible)
[2021-03-16 02:14:04] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:14:05] Training loss: 0.1046
[2021-03-16 02:14:05] Testing on 5000 data points...
[2021-03-16 02:14:05] Test accuracy: 0.9482
[2021-03-16 02:14:05] Score for 175 labels: 0.9482
[2021-03-16 02:14:05] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:14:05] Found 4825 unlabelled features.
[2021-03-16 02:14:05] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:05] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:06] Scoring random batches...
[2021-03-16 02:14:06] Showing labelled: True (200/5000 visible)
[2021-03-16 02:14:06] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:14:07] Training loss: 0.0701
[2021-03-16 02:14:07] Testing on 5000 data points...
[2021-03-16 02:14:07] Test accuracy: 0.9698
[2021-03-16 02:14:07] Score for 200 labels: 0.9698
[2021-03-16 02:14:07] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:14:07] Found 4800 unlabelled features.
[2021-03-16 02:14:07] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:08] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:08] Scoring random batches...
[2021-03-16 02:14:08] Showing labelled: True (225/5000 visible)
[2021-03-16 02:14:08] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:14:09] Training loss: 0.0562
[2021-03-16 02:14:09] Testing on 5000 data points...
[2021-03-16 02:14:09] Test accuracy: 0.9908
[2021-03-16 02:14:09] Score for 225 labels: 0.9908
[2021-03-16 02:14:09] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:14:09] Found 4775 unlabelled features.
[2021-03-16 02:14:09] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:09] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:10] Scoring random batches...
[2021-03-16 02:14:10] Showing labelled: True (250/5000 visible)
[2021-03-16 02:14:10] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:14:11] Training loss: 0.0400
[2021-03-16 02:14:11] Testing on 5000 data points...
[2021-03-16 02:14:11] Test accuracy: 0.9944
[2021-03-16 02:14:11] Score for 250 labels: 0.9944
[2021-03-16 02:14:11] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:14:11] Found 4750 unlabelled features.
[2021-03-16 02:14:11] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:12] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:12] Scoring random batches...
[2021-03-16 02:14:12] Showing labelled: True (275/5000 visible)
[2021-03-16 02:14:12] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:14:13] Training loss: 0.0290
[2021-03-16 02:14:13] Testing on 5000 data points...
[2021-03-16 02:14:13] Test accuracy: 0.9954
[2021-03-16 02:14:13] Score for 275 labels: 0.9954
[2021-03-16 02:14:13] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:14:13] Found 4725 unlabelled features.
[2021-03-16 02:14:13] Training GMM (k=50) on labelled features...
[2021-03-16 02:14:14] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:14:14] Scoring random batches...
[2021-03-16 02:14:14] Showing labelled: True (300/5000 visible)
[2021-03-16 02:14:14] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:14:16] Training loss: 0.0216
[2021-03-16 02:14:16] Testing on 5000 data points...
[2021-03-16 02:14:16] Test accuracy: 0.9962
[2021-03-16 02:14:16] Score for 300 labels: 0.9962
[2021-03-16 02:14:16] Experiment repeat 7/10
[2021-03-16 02:14:16] Randomly labelled 50/5000
[2021-03-16 02:14:16] Showing labelled: True (50/5000 visible)
[2021-03-16 02:14:16] Running: experiment 0
[2021-03-16 02:14:16] Showing labelled: True (50/5000 visible)
[2021-03-16 02:14:16] mlp: initialized 1482 parameters.
[2021-03-16 02:14:16] Creating trainer with model on device: cuda
[2021-03-16 02:14:16] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:14:16] Training loss: 1.4493
[2021-03-16 02:14:16] Testing on 5000 data points...
[2021-03-16 02:14:16] Test accuracy: 0.5974
[2021-03-16 02:14:16] Score for 50 labels: 0.5974
[2021-03-16 02:14:16] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:14:16] Found 4950 unlabelled features.
[2021-03-16 02:14:16] Searching core-set greedily...
[2021-03-16 02:14:18] Showing labelled: True (75/5000 visible)
[2021-03-16 02:14:18] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:14:18] Training loss: 0.7301
[2021-03-16 02:14:18] Testing on 5000 data points...
[2021-03-16 02:14:19] Test accuracy: 0.9000
[2021-03-16 02:14:19] Score for 75 labels: 0.9000
[2021-03-16 02:14:19] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:14:19] Found 4925 unlabelled features.
[2021-03-16 02:14:19] Searching core-set greedily...
[2021-03-16 02:14:21] Showing labelled: True (100/5000 visible)
[2021-03-16 02:14:21] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:14:21] Training loss: 0.4000
[2021-03-16 02:14:21] Testing on 5000 data points...
[2021-03-16 02:14:21] Test accuracy: 0.8992
[2021-03-16 02:14:21] Score for 100 labels: 0.8992
[2021-03-16 02:14:21] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:14:21] Found 4900 unlabelled features.
[2021-03-16 02:14:21] Searching core-set greedily...
[2021-03-16 02:14:24] Showing labelled: True (125/5000 visible)
[2021-03-16 02:14:24] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:14:25] Training loss: 0.2630
[2021-03-16 02:14:25] Testing on 5000 data points...
[2021-03-16 02:14:25] Test accuracy: 0.9896
[2021-03-16 02:14:25] Score for 125 labels: 0.9896
[2021-03-16 02:14:25] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:14:25] Found 4875 unlabelled features.
[2021-03-16 02:14:25] Searching core-set greedily...
[2021-03-16 02:14:27] Showing labelled: True (150/5000 visible)
[2021-03-16 02:14:27] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:14:28] Training loss: 0.1723
[2021-03-16 02:14:28] Testing on 5000 data points...
[2021-03-16 02:14:28] Test accuracy: 0.9968
[2021-03-16 02:14:28] Score for 150 labels: 0.9968
[2021-03-16 02:14:28] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:14:28] Found 4850 unlabelled features.
[2021-03-16 02:14:28] Searching core-set greedily...
[2021-03-16 02:14:32] Showing labelled: True (175/5000 visible)
[2021-03-16 02:14:32] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:14:33] Training loss: 0.1148
[2021-03-16 02:14:33] Testing on 5000 data points...
[2021-03-16 02:14:33] Test accuracy: 0.9982
[2021-03-16 02:14:33] Score for 175 labels: 0.9982
[2021-03-16 02:14:33] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:14:33] Found 4825 unlabelled features.
[2021-03-16 02:14:33] Searching core-set greedily...
[2021-03-16 02:14:36] Showing labelled: True (200/5000 visible)
[2021-03-16 02:14:36] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:14:37] Training loss: 0.0775
[2021-03-16 02:14:37] Testing on 5000 data points...
[2021-03-16 02:14:37] Test accuracy: 0.9974
[2021-03-16 02:14:37] Score for 200 labels: 0.9974
[2021-03-16 02:14:37] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:14:37] Found 4800 unlabelled features.
[2021-03-16 02:14:37] Searching core-set greedily...
[2021-03-16 02:14:41] Showing labelled: True (225/5000 visible)
[2021-03-16 02:14:41] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:14:43] Training loss: 0.0585
[2021-03-16 02:14:43] Testing on 5000 data points...
[2021-03-16 02:14:43] Test accuracy: 0.9978
[2021-03-16 02:14:43] Score for 225 labels: 0.9978
[2021-03-16 02:14:43] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:14:43] Found 4775 unlabelled features.
[2021-03-16 02:14:43] Searching core-set greedily...
[2021-03-16 02:14:47] Showing labelled: True (250/5000 visible)
[2021-03-16 02:14:47] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:14:48] Training loss: 0.0424
[2021-03-16 02:14:48] Testing on 5000 data points...
[2021-03-16 02:14:48] Test accuracy: 0.9984
[2021-03-16 02:14:48] Score for 250 labels: 0.9984
[2021-03-16 02:14:48] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:14:48] Found 4750 unlabelled features.
[2021-03-16 02:14:48] Searching core-set greedily...
[2021-03-16 02:14:52] Showing labelled: True (275/5000 visible)
[2021-03-16 02:14:52] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:14:54] Training loss: 0.0352
[2021-03-16 02:14:54] Testing on 5000 data points...
[2021-03-16 02:14:54] Test accuracy: 0.9986
[2021-03-16 02:14:54] Score for 275 labels: 0.9986
[2021-03-16 02:14:54] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:14:54] Found 4725 unlabelled features.
[2021-03-16 02:14:54] Searching core-set greedily...
[2021-03-16 02:14:58] Showing labelled: True (300/5000 visible)
[2021-03-16 02:14:58] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:14:59] Training loss: 0.0274
[2021-03-16 02:14:59] Testing on 5000 data points...
[2021-03-16 02:14:59] Test accuracy: 0.9978
[2021-03-16 02:14:59] Score for 300 labels: 0.9978
[2021-03-16 02:14:59] Running: experiment 1
[2021-03-16 02:14:59] Showing labelled: True (50/5000 visible)
[2021-03-16 02:14:59] mlp: initialized 1482 parameters.
[2021-03-16 02:14:59] Creating trainer with model on device: cuda
[2021-03-16 02:14:59] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:15:00] Training loss: 1.4679
[2021-03-16 02:15:00] Testing on 5000 data points...
[2021-03-16 02:15:00] Test accuracy: 0.5000
[2021-03-16 02:15:00] Score for 50 labels: 0.5000
[2021-03-16 02:15:00] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:15:00] Found 4950 unlabelled features.
[2021-03-16 02:15:00] Showing labelled: True (75/5000 visible)
[2021-03-16 02:15:00] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:15:00] Training loss: 0.5931
[2021-03-16 02:15:00] Testing on 5000 data points...
[2021-03-16 02:15:00] Test accuracy: 0.7530
[2021-03-16 02:15:00] Score for 75 labels: 0.7530
[2021-03-16 02:15:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:15:00] Found 4925 unlabelled features.
[2021-03-16 02:15:00] Showing labelled: True (100/5000 visible)
[2021-03-16 02:15:00] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:15:01] Training loss: 0.2860
[2021-03-16 02:15:01] Testing on 5000 data points...
[2021-03-16 02:15:01] Test accuracy: 0.7934
[2021-03-16 02:15:01] Score for 100 labels: 0.7934
[2021-03-16 02:15:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:15:01] Found 4900 unlabelled features.
[2021-03-16 02:15:01] Showing labelled: True (125/5000 visible)
[2021-03-16 02:15:01] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:15:02] Training loss: 0.1743
[2021-03-16 02:15:02] Testing on 5000 data points...
[2021-03-16 02:15:02] Test accuracy: 0.8118
[2021-03-16 02:15:02] Score for 125 labels: 0.8118
[2021-03-16 02:15:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:15:02] Found 4875 unlabelled features.
[2021-03-16 02:15:02] Showing labelled: True (150/5000 visible)
[2021-03-16 02:15:02] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:15:03] Training loss: 0.1060
[2021-03-16 02:15:03] Testing on 5000 data points...
[2021-03-16 02:15:03] Test accuracy: 0.8798
[2021-03-16 02:15:03] Score for 150 labels: 0.8798
[2021-03-16 02:15:03] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:15:03] Found 4850 unlabelled features.
[2021-03-16 02:15:03] Showing labelled: True (175/5000 visible)
[2021-03-16 02:15:03] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:15:03] Training loss: 0.0689
[2021-03-16 02:15:03] Testing on 5000 data points...
[2021-03-16 02:15:04] Test accuracy: 0.8900
[2021-03-16 02:15:04] Score for 175 labels: 0.8900
[2021-03-16 02:15:04] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:15:04] Found 4825 unlabelled features.
[2021-03-16 02:15:04] Showing labelled: True (200/5000 visible)
[2021-03-16 02:15:04] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:15:04] Training loss: 0.0438
[2021-03-16 02:15:04] Testing on 5000 data points...
[2021-03-16 02:15:05] Test accuracy: 0.8926
[2021-03-16 02:15:05] Score for 200 labels: 0.8926
[2021-03-16 02:15:05] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:15:05] Found 4800 unlabelled features.
[2021-03-16 02:15:05] Showing labelled: True (225/5000 visible)
[2021-03-16 02:15:05] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:15:06] Training loss: 0.0419
[2021-03-16 02:15:06] Testing on 5000 data points...
[2021-03-16 02:15:06] Test accuracy: 0.9730
[2021-03-16 02:15:06] Score for 225 labels: 0.9730
[2021-03-16 02:15:06] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:15:06] Found 4775 unlabelled features.
[2021-03-16 02:15:06] Showing labelled: True (250/5000 visible)
[2021-03-16 02:15:06] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:15:07] Training loss: 0.0251
[2021-03-16 02:15:07] Testing on 5000 data points...
[2021-03-16 02:15:07] Test accuracy: 0.9946
[2021-03-16 02:15:07] Score for 250 labels: 0.9946
[2021-03-16 02:15:07] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:15:07] Found 4750 unlabelled features.
[2021-03-16 02:15:07] Showing labelled: True (275/5000 visible)
[2021-03-16 02:15:07] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:15:08] Training loss: 0.0160
[2021-03-16 02:15:08] Testing on 5000 data points...
[2021-03-16 02:15:08] Test accuracy: 0.9948
[2021-03-16 02:15:08] Score for 275 labels: 0.9948
[2021-03-16 02:15:08] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:15:08] Found 4725 unlabelled features.
[2021-03-16 02:15:08] Showing labelled: True (300/5000 visible)
[2021-03-16 02:15:08] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:15:10] Training loss: 0.0127
[2021-03-16 02:15:10] Testing on 5000 data points...
[2021-03-16 02:15:10] Test accuracy: 0.9956
[2021-03-16 02:15:10] Score for 300 labels: 0.9956
[2021-03-16 02:15:10] Running: experiment 2
[2021-03-16 02:15:10] Showing labelled: True (50/5000 visible)
[2021-03-16 02:15:10] mlp: initialized 1482 parameters.
[2021-03-16 02:15:10] Creating trainer with model on device: cuda
[2021-03-16 02:15:10] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:15:10] Training loss: 1.3150
[2021-03-16 02:15:10] Testing on 5000 data points...
[2021-03-16 02:15:10] Test accuracy: 0.5000
[2021-03-16 02:15:10] Score for 50 labels: 0.5000
[2021-03-16 02:15:10] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:15:10] Found 4950 unlabelled features.
[2021-03-16 02:15:10] Showing labelled: True (75/5000 visible)
[2021-03-16 02:15:10] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:15:10] Training loss: 0.5746
[2021-03-16 02:15:10] Testing on 5000 data points...
[2021-03-16 02:15:11] Test accuracy: 0.7098
[2021-03-16 02:15:11] Score for 75 labels: 0.7098
[2021-03-16 02:15:11] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:15:11] Found 4925 unlabelled features.
[2021-03-16 02:15:11] Showing labelled: True (100/5000 visible)
[2021-03-16 02:15:11] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:15:11] Training loss: 0.3042
[2021-03-16 02:15:11] Testing on 5000 data points...
[2021-03-16 02:15:11] Test accuracy: 0.8290
[2021-03-16 02:15:11] Score for 100 labels: 0.8290
[2021-03-16 02:15:11] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:15:11] Found 4900 unlabelled features.
[2021-03-16 02:15:11] Showing labelled: True (125/5000 visible)
[2021-03-16 02:15:11] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:15:12] Training loss: 0.1836
[2021-03-16 02:15:12] Testing on 5000 data points...
[2021-03-16 02:15:12] Test accuracy: 0.8934
[2021-03-16 02:15:12] Score for 125 labels: 0.8934
[2021-03-16 02:15:12] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:15:12] Found 4875 unlabelled features.
[2021-03-16 02:15:12] Showing labelled: True (150/5000 visible)
[2021-03-16 02:15:12] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:15:13] Training loss: 0.1520
[2021-03-16 02:15:13] Testing on 5000 data points...
[2021-03-16 02:15:13] Test accuracy: 0.8956
[2021-03-16 02:15:13] Score for 150 labels: 0.8956
[2021-03-16 02:15:13] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:15:13] Found 4850 unlabelled features.
[2021-03-16 02:15:13] Showing labelled: True (175/5000 visible)
[2021-03-16 02:15:13] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:15:14] Training loss: 0.1279
[2021-03-16 02:15:14] Testing on 5000 data points...
[2021-03-16 02:15:14] Test accuracy: 0.8970
[2021-03-16 02:15:14] Score for 175 labels: 0.8970
[2021-03-16 02:15:14] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:15:14] Found 4825 unlabelled features.
[2021-03-16 02:15:14] Showing labelled: True (200/5000 visible)
[2021-03-16 02:15:14] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:15:15] Training loss: 0.1143
[2021-03-16 02:15:15] Testing on 5000 data points...
[2021-03-16 02:15:15] Test accuracy: 0.8988
[2021-03-16 02:15:15] Score for 200 labels: 0.8988
[2021-03-16 02:15:15] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:15:15] Found 4800 unlabelled features.
[2021-03-16 02:15:15] Showing labelled: True (225/5000 visible)
[2021-03-16 02:15:15] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:15:16] Training loss: 0.1126
[2021-03-16 02:15:16] Testing on 5000 data points...
[2021-03-16 02:15:16] Test accuracy: 0.9986
[2021-03-16 02:15:16] Score for 225 labels: 0.9986
[2021-03-16 02:15:16] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:15:16] Found 4775 unlabelled features.
[2021-03-16 02:15:16] Showing labelled: True (250/5000 visible)
[2021-03-16 02:15:16] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:15:17] Training loss: 0.0623
[2021-03-16 02:15:17] Testing on 5000 data points...
[2021-03-16 02:15:17] Test accuracy: 0.9980
[2021-03-16 02:15:17] Score for 250 labels: 0.9980
[2021-03-16 02:15:17] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:15:17] Found 4750 unlabelled features.
[2021-03-16 02:15:17] Showing labelled: True (275/5000 visible)
[2021-03-16 02:15:17] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:15:18] Training loss: 0.0460
[2021-03-16 02:15:18] Testing on 5000 data points...
[2021-03-16 02:15:18] Test accuracy: 0.9976
[2021-03-16 02:15:18] Score for 275 labels: 0.9976
[2021-03-16 02:15:18] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:15:18] Found 4725 unlabelled features.
[2021-03-16 02:15:18] Showing labelled: True (300/5000 visible)
[2021-03-16 02:15:18] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:15:20] Training loss: 0.0332
[2021-03-16 02:15:20] Testing on 5000 data points...
[2021-03-16 02:15:20] Test accuracy: 0.9984
[2021-03-16 02:15:20] Score for 300 labels: 0.9984
[2021-03-16 02:15:20] Running: experiment 3
[2021-03-16 02:15:20] Showing labelled: True (50/5000 visible)
[2021-03-16 02:15:20] mlp: initialized 1482 parameters.
[2021-03-16 02:15:20] Creating trainer with model on device: cuda
[2021-03-16 02:15:20] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:15:20] Training loss: 1.4867
[2021-03-16 02:15:20] Testing on 5000 data points...
[2021-03-16 02:15:20] Test accuracy: 0.5712
[2021-03-16 02:15:20] Score for 50 labels: 0.5712
[2021-03-16 02:15:20] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:15:20] Found 4950 unlabelled features.
[2021-03-16 02:15:20] Showing labelled: True (75/5000 visible)
[2021-03-16 02:15:20] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:15:21] Training loss: 0.7151
[2021-03-16 02:15:21] Testing on 5000 data points...
[2021-03-16 02:15:21] Test accuracy: 0.7278
[2021-03-16 02:15:21] Score for 75 labels: 0.7278
[2021-03-16 02:15:21] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:15:21] Found 4925 unlabelled features.
[2021-03-16 02:15:21] Showing labelled: True (100/5000 visible)
[2021-03-16 02:15:21] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:15:21] Training loss: 0.3483
[2021-03-16 02:15:21] Testing on 5000 data points...
[2021-03-16 02:15:21] Test accuracy: 0.7888
[2021-03-16 02:15:21] Score for 100 labels: 0.7888
[2021-03-16 02:15:21] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:15:21] Found 4900 unlabelled features.
[2021-03-16 02:15:21] Showing labelled: True (125/5000 visible)
[2021-03-16 02:15:21] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:15:22] Training loss: 0.2877
[2021-03-16 02:15:22] Testing on 5000 data points...
[2021-03-16 02:15:22] Test accuracy: 0.9632
[2021-03-16 02:15:22] Score for 125 labels: 0.9632
[2021-03-16 02:15:22] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:15:22] Found 4875 unlabelled features.
[2021-03-16 02:15:22] Showing labelled: True (150/5000 visible)
[2021-03-16 02:15:22] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:15:23] Training loss: 0.1583
[2021-03-16 02:15:23] Testing on 5000 data points...
[2021-03-16 02:15:23] Test accuracy: 0.9946
[2021-03-16 02:15:23] Score for 150 labels: 0.9946
[2021-03-16 02:15:23] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:15:23] Found 4850 unlabelled features.
[2021-03-16 02:15:23] Showing labelled: True (175/5000 visible)
[2021-03-16 02:15:23] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:15:24] Training loss: 0.1034
[2021-03-16 02:15:24] Testing on 5000 data points...
[2021-03-16 02:15:24] Test accuracy: 0.9956
[2021-03-16 02:15:24] Score for 175 labels: 0.9956
[2021-03-16 02:15:24] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:15:24] Found 4825 unlabelled features.
[2021-03-16 02:15:24] Showing labelled: True (200/5000 visible)
[2021-03-16 02:15:24] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:15:25] Training loss: 0.0950
[2021-03-16 02:15:25] Testing on 5000 data points...
[2021-03-16 02:15:25] Test accuracy: 0.9964
[2021-03-16 02:15:25] Score for 200 labels: 0.9964
[2021-03-16 02:15:25] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:15:25] Found 4800 unlabelled features.
[2021-03-16 02:15:25] Showing labelled: True (225/5000 visible)
[2021-03-16 02:15:25] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:15:26] Training loss: 0.0858
[2021-03-16 02:15:26] Testing on 5000 data points...
[2021-03-16 02:15:26] Test accuracy: 0.9982
[2021-03-16 02:15:26] Score for 225 labels: 0.9982
[2021-03-16 02:15:26] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:15:26] Found 4775 unlabelled features.
[2021-03-16 02:15:26] Showing labelled: True (250/5000 visible)
[2021-03-16 02:15:26] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:15:27] Training loss: 0.0773
[2021-03-16 02:15:27] Testing on 5000 data points...
[2021-03-16 02:15:27] Test accuracy: 0.9974
[2021-03-16 02:15:27] Score for 250 labels: 0.9974
[2021-03-16 02:15:27] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:15:27] Found 4750 unlabelled features.
[2021-03-16 02:15:27] Showing labelled: True (275/5000 visible)
[2021-03-16 02:15:27] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:15:28] Training loss: 0.0648
[2021-03-16 02:15:28] Testing on 5000 data points...
[2021-03-16 02:15:28] Test accuracy: 0.9972
[2021-03-16 02:15:28] Score for 275 labels: 0.9972
[2021-03-16 02:15:28] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:15:28] Found 4725 unlabelled features.
[2021-03-16 02:15:29] Showing labelled: True (300/5000 visible)
[2021-03-16 02:15:29] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:15:30] Training loss: 0.0467
[2021-03-16 02:15:30] Testing on 5000 data points...
[2021-03-16 02:15:30] Test accuracy: 0.9980
[2021-03-16 02:15:30] Score for 300 labels: 0.9980
[2021-03-16 02:15:30] Running: experiment 4
[2021-03-16 02:15:30] Showing labelled: True (50/5000 visible)
[2021-03-16 02:15:30] mlp: initialized 1482 parameters.
[2021-03-16 02:15:30] Creating trainer with model on device: cuda
[2021-03-16 02:15:30] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:15:30] Training loss: 1.5976
[2021-03-16 02:15:30] Testing on 5000 data points...
[2021-03-16 02:15:30] Test accuracy: 0.5246
[2021-03-16 02:15:30] Score for 50 labels: 0.5246
[2021-03-16 02:15:30] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:15:30] Found 4950 unlabelled features.
[2021-03-16 02:15:30] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:30] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:31] Scoring random batches...
[2021-03-16 02:15:31] Showing labelled: True (75/5000 visible)
[2021-03-16 02:15:31] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:15:31] Training loss: 0.7428
[2021-03-16 02:15:31] Testing on 5000 data points...
[2021-03-16 02:15:31] Test accuracy: 0.6918
[2021-03-16 02:15:31] Score for 75 labels: 0.6918
[2021-03-16 02:15:31] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:15:31] Found 4925 unlabelled features.
[2021-03-16 02:15:31] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:31] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:32] Scoring random batches...
[2021-03-16 02:15:32] Showing labelled: True (100/5000 visible)
[2021-03-16 02:15:32] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:15:32] Training loss: 0.3887
[2021-03-16 02:15:32] Testing on 5000 data points...
[2021-03-16 02:15:32] Test accuracy: 0.7454
[2021-03-16 02:15:32] Score for 100 labels: 0.7454
[2021-03-16 02:15:32] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:15:32] Found 4900 unlabelled features.
[2021-03-16 02:15:32] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:32] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:33] Scoring random batches...
[2021-03-16 02:15:33] Showing labelled: True (125/5000 visible)
[2021-03-16 02:15:33] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:15:33] Training loss: 0.2387
[2021-03-16 02:15:33] Testing on 5000 data points...
[2021-03-16 02:15:33] Test accuracy: 0.7968
[2021-03-16 02:15:33] Score for 125 labels: 0.7968
[2021-03-16 02:15:33] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:15:33] Found 4875 unlabelled features.
[2021-03-16 02:15:33] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:34] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:34] Scoring random batches...
[2021-03-16 02:15:34] Showing labelled: True (150/5000 visible)
[2021-03-16 02:15:34] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:15:35] Training loss: 0.1784
[2021-03-16 02:15:35] Testing on 5000 data points...
[2021-03-16 02:15:35] Test accuracy: 0.8332
[2021-03-16 02:15:35] Score for 150 labels: 0.8332
[2021-03-16 02:15:35] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:15:35] Found 4850 unlabelled features.
[2021-03-16 02:15:35] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:35] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:35] Scoring random batches...
[2021-03-16 02:15:35] Showing labelled: True (175/5000 visible)
[2021-03-16 02:15:35] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:15:36] Training loss: 0.1126
[2021-03-16 02:15:36] Testing on 5000 data points...
[2021-03-16 02:15:36] Test accuracy: 0.9920
[2021-03-16 02:15:36] Score for 175 labels: 0.9920
[2021-03-16 02:15:36] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:15:36] Found 4825 unlabelled features.
[2021-03-16 02:15:36] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:36] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:37] Scoring random batches...
[2021-03-16 02:15:37] Showing labelled: True (200/5000 visible)
[2021-03-16 02:15:37] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:15:38] Training loss: 0.0677
[2021-03-16 02:15:38] Testing on 5000 data points...
[2021-03-16 02:15:38] Test accuracy: 0.9944
[2021-03-16 02:15:38] Score for 200 labels: 0.9944
[2021-03-16 02:15:38] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:15:38] Found 4800 unlabelled features.
[2021-03-16 02:15:38] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:38] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:39] Scoring random batches...
[2021-03-16 02:15:39] Showing labelled: True (225/5000 visible)
[2021-03-16 02:15:39] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:15:40] Training loss: 0.0419
[2021-03-16 02:15:40] Testing on 5000 data points...
[2021-03-16 02:15:40] Test accuracy: 0.9944
[2021-03-16 02:15:40] Score for 225 labels: 0.9944
[2021-03-16 02:15:40] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:15:40] Found 4775 unlabelled features.
[2021-03-16 02:15:40] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:40] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:41] Scoring random batches...
[2021-03-16 02:15:41] Showing labelled: True (250/5000 visible)
[2021-03-16 02:15:41] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:15:42] Training loss: 0.0290
[2021-03-16 02:15:42] Testing on 5000 data points...
[2021-03-16 02:15:42] Test accuracy: 0.9948
[2021-03-16 02:15:42] Score for 250 labels: 0.9948
[2021-03-16 02:15:42] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:15:42] Found 4750 unlabelled features.
[2021-03-16 02:15:42] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:42] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:43] Scoring random batches...
[2021-03-16 02:15:43] Showing labelled: True (275/5000 visible)
[2021-03-16 02:15:43] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:15:44] Training loss: 0.0202
[2021-03-16 02:15:44] Testing on 5000 data points...
[2021-03-16 02:15:44] Test accuracy: 0.9956
[2021-03-16 02:15:44] Score for 275 labels: 0.9956
[2021-03-16 02:15:44] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:15:44] Found 4725 unlabelled features.
[2021-03-16 02:15:44] Training GMM (k=50) on labelled features...
[2021-03-16 02:15:44] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:15:45] Scoring random batches...
[2021-03-16 02:15:45] Showing labelled: True (300/5000 visible)
[2021-03-16 02:15:45] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:15:46] Training loss: 0.0162
[2021-03-16 02:15:46] Testing on 5000 data points...
[2021-03-16 02:15:46] Test accuracy: 0.9948
[2021-03-16 02:15:46] Score for 300 labels: 0.9948
[2021-03-16 02:15:46] Experiment repeat 8/10
[2021-03-16 02:15:46] Randomly labelled 50/5000
[2021-03-16 02:15:46] Showing labelled: True (50/5000 visible)
[2021-03-16 02:15:46] Running: experiment 0
[2021-03-16 02:15:46] Showing labelled: True (50/5000 visible)
[2021-03-16 02:15:46] mlp: initialized 1482 parameters.
[2021-03-16 02:15:46] Creating trainer with model on device: cuda
[2021-03-16 02:15:46] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:15:46] Training loss: 1.1503
[2021-03-16 02:15:46] Testing on 5000 data points...
[2021-03-16 02:15:46] Test accuracy: 0.4898
[2021-03-16 02:15:46] Score for 50 labels: 0.4898
[2021-03-16 02:15:46] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:15:46] Found 4950 unlabelled features.
[2021-03-16 02:15:46] Searching core-set greedily...
[2021-03-16 02:15:48] Showing labelled: True (75/5000 visible)
[2021-03-16 02:15:48] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:15:49] Training loss: 0.6968
[2021-03-16 02:15:49] Testing on 5000 data points...
[2021-03-16 02:15:49] Test accuracy: 0.8966
[2021-03-16 02:15:49] Score for 75 labels: 0.8966
[2021-03-16 02:15:49] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:15:49] Found 4925 unlabelled features.
[2021-03-16 02:15:49] Searching core-set greedily...
[2021-03-16 02:15:51] Showing labelled: True (100/5000 visible)
[2021-03-16 02:15:51] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:15:52] Training loss: 0.3643
[2021-03-16 02:15:52] Testing on 5000 data points...
[2021-03-16 02:15:52] Test accuracy: 0.8994
[2021-03-16 02:15:52] Score for 100 labels: 0.8994
[2021-03-16 02:15:52] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:15:52] Found 4900 unlabelled features.
[2021-03-16 02:15:52] Searching core-set greedily...
[2021-03-16 02:15:54] Showing labelled: True (125/5000 visible)
[2021-03-16 02:15:54] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:15:55] Training loss: 0.2472
[2021-03-16 02:15:55] Testing on 5000 data points...
[2021-03-16 02:15:55] Test accuracy: 0.9954
[2021-03-16 02:15:55] Score for 125 labels: 0.9954
[2021-03-16 02:15:55] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:15:55] Found 4875 unlabelled features.
[2021-03-16 02:15:55] Searching core-set greedily...
[2021-03-16 02:15:58] Showing labelled: True (150/5000 visible)
[2021-03-16 02:15:58] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:15:58] Training loss: 0.1603
[2021-03-16 02:15:58] Testing on 5000 data points...
[2021-03-16 02:15:58] Test accuracy: 0.9966
[2021-03-16 02:15:58] Score for 150 labels: 0.9966
[2021-03-16 02:15:58] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:15:58] Found 4850 unlabelled features.
[2021-03-16 02:15:58] Searching core-set greedily...
[2021-03-16 02:16:02] Showing labelled: True (175/5000 visible)
[2021-03-16 02:16:02] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:16:03] Training loss: 0.1036
[2021-03-16 02:16:03] Testing on 5000 data points...
[2021-03-16 02:16:03] Test accuracy: 0.9982
[2021-03-16 02:16:03] Score for 175 labels: 0.9982
[2021-03-16 02:16:03] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:16:03] Found 4825 unlabelled features.
[2021-03-16 02:16:03] Searching core-set greedily...
[2021-03-16 02:16:07] Showing labelled: True (200/5000 visible)
[2021-03-16 02:16:07] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:16:08] Training loss: 0.0745
[2021-03-16 02:16:08] Testing on 5000 data points...
[2021-03-16 02:16:08] Test accuracy: 0.9982
[2021-03-16 02:16:08] Score for 200 labels: 0.9982
[2021-03-16 02:16:08] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:16:08] Found 4800 unlabelled features.
[2021-03-16 02:16:08] Searching core-set greedily...
[2021-03-16 02:16:12] Showing labelled: True (225/5000 visible)
[2021-03-16 02:16:12] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:16:13] Training loss: 0.0585
[2021-03-16 02:16:13] Testing on 5000 data points...
[2021-03-16 02:16:13] Test accuracy: 0.9984
[2021-03-16 02:16:13] Score for 225 labels: 0.9984
[2021-03-16 02:16:13] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:16:13] Found 4775 unlabelled features.
[2021-03-16 02:16:13] Searching core-set greedily...
[2021-03-16 02:16:18] Showing labelled: True (250/5000 visible)
[2021-03-16 02:16:18] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:16:19] Training loss: 0.0425
[2021-03-16 02:16:19] Testing on 5000 data points...
[2021-03-16 02:16:19] Test accuracy: 0.9982
[2021-03-16 02:16:19] Score for 250 labels: 0.9982
[2021-03-16 02:16:19] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:16:19] Found 4750 unlabelled features.
[2021-03-16 02:16:19] Searching core-set greedily...
[2021-03-16 02:16:24] Showing labelled: True (275/5000 visible)
[2021-03-16 02:16:24] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:16:25] Training loss: 0.0351
[2021-03-16 02:16:25] Testing on 5000 data points...
[2021-03-16 02:16:25] Test accuracy: 0.9982
[2021-03-16 02:16:25] Score for 275 labels: 0.9982
[2021-03-16 02:16:25] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:16:25] Found 4725 unlabelled features.
[2021-03-16 02:16:25] Searching core-set greedily...
[2021-03-16 02:16:30] Showing labelled: True (300/5000 visible)
[2021-03-16 02:16:30] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:16:31] Training loss: 0.0277
[2021-03-16 02:16:31] Testing on 5000 data points...
[2021-03-16 02:16:31] Test accuracy: 0.9982
[2021-03-16 02:16:31] Score for 300 labels: 0.9982
[2021-03-16 02:16:31] Running: experiment 1
[2021-03-16 02:16:31] Showing labelled: True (50/5000 visible)
[2021-03-16 02:16:31] mlp: initialized 1482 parameters.
[2021-03-16 02:16:31] Creating trainer with model on device: cuda
[2021-03-16 02:16:31] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:16:32] Training loss: 1.1387
[2021-03-16 02:16:32] Testing on 5000 data points...
[2021-03-16 02:16:32] Test accuracy: 0.4000
[2021-03-16 02:16:32] Score for 50 labels: 0.4000
[2021-03-16 02:16:32] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:16:32] Found 4950 unlabelled features.
[2021-03-16 02:16:32] Showing labelled: True (75/5000 visible)
[2021-03-16 02:16:32] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:16:32] Training loss: 0.5332
[2021-03-16 02:16:32] Testing on 5000 data points...
[2021-03-16 02:16:32] Test accuracy: 0.6832
[2021-03-16 02:16:32] Score for 75 labels: 0.6832
[2021-03-16 02:16:32] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:16:32] Found 4925 unlabelled features.
[2021-03-16 02:16:32] Showing labelled: True (100/5000 visible)
[2021-03-16 02:16:32] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:16:33] Training loss: 0.3899
[2021-03-16 02:16:33] Testing on 5000 data points...
[2021-03-16 02:16:33] Test accuracy: 0.6902
[2021-03-16 02:16:33] Score for 100 labels: 0.6902
[2021-03-16 02:16:33] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:16:33] Found 4900 unlabelled features.
[2021-03-16 02:16:33] Showing labelled: True (125/5000 visible)
[2021-03-16 02:16:33] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:16:33] Training loss: 0.2638
[2021-03-16 02:16:33] Testing on 5000 data points...
[2021-03-16 02:16:33] Test accuracy: 0.7364
[2021-03-16 02:16:33] Score for 125 labels: 0.7364
[2021-03-16 02:16:33] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:16:33] Found 4875 unlabelled features.
[2021-03-16 02:16:33] Showing labelled: True (150/5000 visible)
[2021-03-16 02:16:33] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:16:34] Training loss: 0.1781
[2021-03-16 02:16:34] Testing on 5000 data points...
[2021-03-16 02:16:34] Test accuracy: 0.8878
[2021-03-16 02:16:34] Score for 150 labels: 0.8878
[2021-03-16 02:16:34] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:16:34] Found 4850 unlabelled features.
[2021-03-16 02:16:34] Showing labelled: True (175/5000 visible)
[2021-03-16 02:16:34] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:16:35] Training loss: 0.1296
[2021-03-16 02:16:35] Testing on 5000 data points...
[2021-03-16 02:16:35] Test accuracy: 0.9348
[2021-03-16 02:16:35] Score for 175 labels: 0.9348
[2021-03-16 02:16:35] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:16:35] Found 4825 unlabelled features.
[2021-03-16 02:16:35] Showing labelled: True (200/5000 visible)
[2021-03-16 02:16:35] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:16:36] Training loss: 0.0856
[2021-03-16 02:16:36] Testing on 5000 data points...
[2021-03-16 02:16:36] Test accuracy: 0.9684
[2021-03-16 02:16:36] Score for 200 labels: 0.9684
[2021-03-16 02:16:36] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:16:36] Found 4800 unlabelled features.
[2021-03-16 02:16:36] Showing labelled: True (225/5000 visible)
[2021-03-16 02:16:36] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:16:37] Training loss: 0.0558
[2021-03-16 02:16:37] Testing on 5000 data points...
[2021-03-16 02:16:37] Test accuracy: 0.9902
[2021-03-16 02:16:37] Score for 225 labels: 0.9902
[2021-03-16 02:16:37] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:16:37] Found 4775 unlabelled features.
[2021-03-16 02:16:37] Showing labelled: True (250/5000 visible)
[2021-03-16 02:16:37] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:16:38] Training loss: 0.0371
[2021-03-16 02:16:38] Testing on 5000 data points...
[2021-03-16 02:16:38] Test accuracy: 0.9910
[2021-03-16 02:16:38] Score for 250 labels: 0.9910
[2021-03-16 02:16:38] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:16:38] Found 4750 unlabelled features.
[2021-03-16 02:16:39] Showing labelled: True (275/5000 visible)
[2021-03-16 02:16:39] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:16:40] Training loss: 0.0271
[2021-03-16 02:16:40] Testing on 5000 data points...
[2021-03-16 02:16:40] Test accuracy: 0.9942
[2021-03-16 02:16:40] Score for 275 labels: 0.9942
[2021-03-16 02:16:40] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:16:40] Found 4725 unlabelled features.
[2021-03-16 02:16:40] Showing labelled: True (300/5000 visible)
[2021-03-16 02:16:40] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:16:41] Training loss: 0.0198
[2021-03-16 02:16:41] Testing on 5000 data points...
[2021-03-16 02:16:41] Test accuracy: 0.9948
[2021-03-16 02:16:41] Score for 300 labels: 0.9948
[2021-03-16 02:16:41] Running: experiment 2
[2021-03-16 02:16:41] Showing labelled: True (50/5000 visible)
[2021-03-16 02:16:41] mlp: initialized 1482 parameters.
[2021-03-16 02:16:41] Creating trainer with model on device: cuda
[2021-03-16 02:16:41] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:16:42] Training loss: 1.0864
[2021-03-16 02:16:42] Testing on 5000 data points...
[2021-03-16 02:16:42] Test accuracy: 0.4226
[2021-03-16 02:16:42] Score for 50 labels: 0.4226
[2021-03-16 02:16:42] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:16:42] Found 4950 unlabelled features.
[2021-03-16 02:16:42] Showing labelled: True (75/5000 visible)
[2021-03-16 02:16:42] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:16:42] Training loss: 0.5771
[2021-03-16 02:16:42] Testing on 5000 data points...
[2021-03-16 02:16:42] Test accuracy: 0.6946
[2021-03-16 02:16:42] Score for 75 labels: 0.6946
[2021-03-16 02:16:42] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:16:42] Found 4925 unlabelled features.
[2021-03-16 02:16:42] Showing labelled: True (100/5000 visible)
[2021-03-16 02:16:42] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:16:43] Training loss: 0.2457
[2021-03-16 02:16:43] Testing on 5000 data points...
[2021-03-16 02:16:43] Test accuracy: 0.7988
[2021-03-16 02:16:43] Score for 100 labels: 0.7988
[2021-03-16 02:16:43] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:16:43] Found 4900 unlabelled features.
[2021-03-16 02:16:43] Showing labelled: True (125/5000 visible)
[2021-03-16 02:16:43] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:16:43] Training loss: 0.2178
[2021-03-16 02:16:43] Testing on 5000 data points...
[2021-03-16 02:16:43] Test accuracy: 0.8958
[2021-03-16 02:16:43] Score for 125 labels: 0.8958
[2021-03-16 02:16:43] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:16:43] Found 4875 unlabelled features.
[2021-03-16 02:16:43] Showing labelled: True (150/5000 visible)
[2021-03-16 02:16:43] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:16:44] Training loss: 0.1473
[2021-03-16 02:16:44] Testing on 5000 data points...
[2021-03-16 02:16:44] Test accuracy: 0.9966
[2021-03-16 02:16:44] Score for 150 labels: 0.9966
[2021-03-16 02:16:44] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:16:44] Found 4850 unlabelled features.
[2021-03-16 02:16:44] Showing labelled: True (175/5000 visible)
[2021-03-16 02:16:44] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:16:45] Training loss: 0.1247
[2021-03-16 02:16:45] Testing on 5000 data points...
[2021-03-16 02:16:45] Test accuracy: 0.9902
[2021-03-16 02:16:45] Score for 175 labels: 0.9902
[2021-03-16 02:16:45] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:16:45] Found 4825 unlabelled features.
[2021-03-16 02:16:45] Showing labelled: True (200/5000 visible)
[2021-03-16 02:16:45] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:16:46] Training loss: 0.1201
[2021-03-16 02:16:46] Testing on 5000 data points...
[2021-03-16 02:16:46] Test accuracy: 0.9986
[2021-03-16 02:16:46] Score for 200 labels: 0.9986
[2021-03-16 02:16:46] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:16:46] Found 4800 unlabelled features.
[2021-03-16 02:16:46] Showing labelled: True (225/5000 visible)
[2021-03-16 02:16:46] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:16:47] Training loss: 0.1125
[2021-03-16 02:16:47] Testing on 5000 data points...
[2021-03-16 02:16:47] Test accuracy: 0.9968
[2021-03-16 02:16:47] Score for 225 labels: 0.9968
[2021-03-16 02:16:47] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:16:47] Found 4775 unlabelled features.
[2021-03-16 02:16:47] Showing labelled: True (250/5000 visible)
[2021-03-16 02:16:47] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:16:49] Training loss: 0.0922
[2021-03-16 02:16:49] Testing on 5000 data points...
[2021-03-16 02:16:49] Test accuracy: 0.9976
[2021-03-16 02:16:49] Score for 250 labels: 0.9976
[2021-03-16 02:16:49] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:16:49] Found 4750 unlabelled features.
[2021-03-16 02:16:49] Showing labelled: True (275/5000 visible)
[2021-03-16 02:16:49] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:16:50] Training loss: 0.0649
[2021-03-16 02:16:50] Testing on 5000 data points...
[2021-03-16 02:16:50] Test accuracy: 0.9972
[2021-03-16 02:16:50] Score for 275 labels: 0.9972
[2021-03-16 02:16:50] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:16:50] Found 4725 unlabelled features.
[2021-03-16 02:16:50] Showing labelled: True (300/5000 visible)
[2021-03-16 02:16:50] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:16:51] Training loss: 0.0451
[2021-03-16 02:16:51] Testing on 5000 data points...
[2021-03-16 02:16:51] Test accuracy: 0.9982
[2021-03-16 02:16:51] Score for 300 labels: 0.9982
[2021-03-16 02:16:51] Running: experiment 3
[2021-03-16 02:16:51] Showing labelled: True (50/5000 visible)
[2021-03-16 02:16:51] mlp: initialized 1482 parameters.
[2021-03-16 02:16:51] Creating trainer with model on device: cuda
[2021-03-16 02:16:51] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:16:52] Training loss: 0.9996
[2021-03-16 02:16:52] Testing on 5000 data points...
[2021-03-16 02:16:52] Test accuracy: 0.5010
[2021-03-16 02:16:52] Score for 50 labels: 0.5010
[2021-03-16 02:16:52] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:16:52] Found 4950 unlabelled features.
[2021-03-16 02:16:52] Showing labelled: True (75/5000 visible)
[2021-03-16 02:16:52] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:16:52] Training loss: 0.5414
[2021-03-16 02:16:52] Testing on 5000 data points...
[2021-03-16 02:16:52] Test accuracy: 0.6994
[2021-03-16 02:16:52] Score for 75 labels: 0.6994
[2021-03-16 02:16:52] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:16:52] Found 4925 unlabelled features.
[2021-03-16 02:16:52] Showing labelled: True (100/5000 visible)
[2021-03-16 02:16:52] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:16:53] Training loss: 0.2597
[2021-03-16 02:16:53] Testing on 5000 data points...
[2021-03-16 02:16:53] Test accuracy: 0.7972
[2021-03-16 02:16:53] Score for 100 labels: 0.7972
[2021-03-16 02:16:53] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:16:53] Found 4900 unlabelled features.
[2021-03-16 02:16:53] Showing labelled: True (125/5000 visible)
[2021-03-16 02:16:53] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:16:53] Training loss: 0.2910
[2021-03-16 02:16:53] Testing on 5000 data points...
[2021-03-16 02:16:53] Test accuracy: 0.9118
[2021-03-16 02:16:53] Score for 125 labels: 0.9118
[2021-03-16 02:16:53] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:16:53] Found 4875 unlabelled features.
[2021-03-16 02:16:54] Showing labelled: True (150/5000 visible)
[2021-03-16 02:16:54] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:16:54] Training loss: 0.1194
[2021-03-16 02:16:54] Testing on 5000 data points...
[2021-03-16 02:16:54] Test accuracy: 0.9978
[2021-03-16 02:16:54] Score for 150 labels: 0.9978
[2021-03-16 02:16:54] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:16:54] Found 4850 unlabelled features.
[2021-03-16 02:16:54] Showing labelled: True (175/5000 visible)
[2021-03-16 02:16:54] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:16:55] Training loss: 0.0899
[2021-03-16 02:16:55] Testing on 5000 data points...
[2021-03-16 02:16:55] Test accuracy: 0.9960
[2021-03-16 02:16:55] Score for 175 labels: 0.9960
[2021-03-16 02:16:55] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:16:55] Found 4825 unlabelled features.
[2021-03-16 02:16:55] Showing labelled: True (200/5000 visible)
[2021-03-16 02:16:55] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:16:56] Training loss: 0.0934
[2021-03-16 02:16:56] Testing on 5000 data points...
[2021-03-16 02:16:56] Test accuracy: 0.9962
[2021-03-16 02:16:56] Score for 200 labels: 0.9962
[2021-03-16 02:16:56] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:16:56] Found 4800 unlabelled features.
[2021-03-16 02:16:56] Showing labelled: True (225/5000 visible)
[2021-03-16 02:16:56] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:16:57] Training loss: 0.0973
[2021-03-16 02:16:57] Testing on 5000 data points...
[2021-03-16 02:16:57] Test accuracy: 0.9974
[2021-03-16 02:16:57] Score for 225 labels: 0.9974
[2021-03-16 02:16:57] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:16:57] Found 4775 unlabelled features.
[2021-03-16 02:16:58] Showing labelled: True (250/5000 visible)
[2021-03-16 02:16:58] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:16:59] Training loss: 0.0809
[2021-03-16 02:16:59] Testing on 5000 data points...
[2021-03-16 02:16:59] Test accuracy: 0.9974
[2021-03-16 02:16:59] Score for 250 labels: 0.9974
[2021-03-16 02:16:59] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:16:59] Found 4750 unlabelled features.
[2021-03-16 02:16:59] Showing labelled: True (275/5000 visible)
[2021-03-16 02:16:59] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:17:00] Training loss: 0.0591
[2021-03-16 02:17:00] Testing on 5000 data points...
[2021-03-16 02:17:00] Test accuracy: 0.9974
[2021-03-16 02:17:00] Score for 275 labels: 0.9974
[2021-03-16 02:17:00] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:17:00] Found 4725 unlabelled features.
[2021-03-16 02:17:00] Showing labelled: True (300/5000 visible)
[2021-03-16 02:17:00] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:17:02] Training loss: 0.0410
[2021-03-16 02:17:02] Testing on 5000 data points...
[2021-03-16 02:17:02] Test accuracy: 0.9984
[2021-03-16 02:17:02] Score for 300 labels: 0.9984
[2021-03-16 02:17:02] Running: experiment 4
[2021-03-16 02:17:02] Showing labelled: True (50/5000 visible)
[2021-03-16 02:17:02] mlp: initialized 1482 parameters.
[2021-03-16 02:17:02] Creating trainer with model on device: cuda
[2021-03-16 02:17:02] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:17:02] Training loss: 1.2039
[2021-03-16 02:17:02] Testing on 5000 data points...
[2021-03-16 02:17:02] Test accuracy: 0.4000
[2021-03-16 02:17:02] Score for 50 labels: 0.4000
[2021-03-16 02:17:02] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:17:02] Found 4950 unlabelled features.
[2021-03-16 02:17:02] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:02] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:02] Scoring random batches...
[2021-03-16 02:17:02] Showing labelled: True (75/5000 visible)
[2021-03-16 02:17:02] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:17:03] Training loss: 0.6825
[2021-03-16 02:17:03] Testing on 5000 data points...
[2021-03-16 02:17:03] Test accuracy: 0.6650
[2021-03-16 02:17:03] Score for 75 labels: 0.6650
[2021-03-16 02:17:03] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:17:03] Found 4925 unlabelled features.
[2021-03-16 02:17:03] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:03] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:03] Scoring random batches...
[2021-03-16 02:17:03] Showing labelled: True (100/5000 visible)
[2021-03-16 02:17:03] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:17:04] Training loss: 0.4249
[2021-03-16 02:17:04] Testing on 5000 data points...
[2021-03-16 02:17:04] Test accuracy: 0.7990
[2021-03-16 02:17:04] Score for 100 labels: 0.7990
[2021-03-16 02:17:04] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:17:04] Found 4900 unlabelled features.
[2021-03-16 02:17:04] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:04] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:05] Scoring random batches...
[2021-03-16 02:17:05] Showing labelled: True (125/5000 visible)
[2021-03-16 02:17:05] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:17:05] Training loss: 0.2465
[2021-03-16 02:17:05] Testing on 5000 data points...
[2021-03-16 02:17:05] Test accuracy: 0.8748
[2021-03-16 02:17:05] Score for 125 labels: 0.8748
[2021-03-16 02:17:05] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:17:05] Found 4875 unlabelled features.
[2021-03-16 02:17:06] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:06] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:06] Scoring random batches...
[2021-03-16 02:17:06] Showing labelled: True (150/5000 visible)
[2021-03-16 02:17:06] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:17:07] Training loss: 0.1608
[2021-03-16 02:17:07] Testing on 5000 data points...
[2021-03-16 02:17:07] Test accuracy: 0.8980
[2021-03-16 02:17:07] Score for 150 labels: 0.8980
[2021-03-16 02:17:07] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:17:07] Found 4850 unlabelled features.
[2021-03-16 02:17:07] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:07] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:08] Scoring random batches...
[2021-03-16 02:17:08] Showing labelled: True (175/5000 visible)
[2021-03-16 02:17:08] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:17:08] Training loss: 0.1348
[2021-03-16 02:17:08] Testing on 5000 data points...
[2021-03-16 02:17:08] Test accuracy: 0.9802
[2021-03-16 02:17:08] Score for 175 labels: 0.9802
[2021-03-16 02:17:08] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:17:08] Found 4825 unlabelled features.
[2021-03-16 02:17:08] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:09] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:09] Scoring random batches...
[2021-03-16 02:17:09] Showing labelled: True (200/5000 visible)
[2021-03-16 02:17:09] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:17:10] Training loss: 0.0884
[2021-03-16 02:17:10] Testing on 5000 data points...
[2021-03-16 02:17:10] Test accuracy: 0.9956
[2021-03-16 02:17:10] Score for 200 labels: 0.9956
[2021-03-16 02:17:10] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:17:10] Found 4800 unlabelled features.
[2021-03-16 02:17:10] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:10] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:11] Scoring random batches...
[2021-03-16 02:17:11] Showing labelled: True (225/5000 visible)
[2021-03-16 02:17:11] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:17:12] Training loss: 0.0564
[2021-03-16 02:17:12] Testing on 5000 data points...
[2021-03-16 02:17:12] Test accuracy: 0.9978
[2021-03-16 02:17:12] Score for 225 labels: 0.9978
[2021-03-16 02:17:12] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:17:12] Found 4775 unlabelled features.
[2021-03-16 02:17:12] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:12] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:13] Scoring random batches...
[2021-03-16 02:17:13] Showing labelled: True (250/5000 visible)
[2021-03-16 02:17:13] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:17:14] Training loss: 0.0378
[2021-03-16 02:17:14] Testing on 5000 data points...
[2021-03-16 02:17:14] Test accuracy: 0.9972
[2021-03-16 02:17:14] Score for 250 labels: 0.9972
[2021-03-16 02:17:14] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:17:14] Found 4750 unlabelled features.
[2021-03-16 02:17:14] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:14] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:15] Scoring random batches...
[2021-03-16 02:17:15] Showing labelled: True (275/5000 visible)
[2021-03-16 02:17:15] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:17:16] Training loss: 0.0256
[2021-03-16 02:17:16] Testing on 5000 data points...
[2021-03-16 02:17:16] Test accuracy: 0.9978
[2021-03-16 02:17:16] Score for 275 labels: 0.9978
[2021-03-16 02:17:16] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:17:16] Found 4725 unlabelled features.
[2021-03-16 02:17:16] Training GMM (k=50) on labelled features...
[2021-03-16 02:17:16] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:17:17] Scoring random batches...
[2021-03-16 02:17:17] Showing labelled: True (300/5000 visible)
[2021-03-16 02:17:17] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:17:18] Training loss: 0.0206
[2021-03-16 02:17:18] Testing on 5000 data points...
[2021-03-16 02:17:18] Test accuracy: 0.9978
[2021-03-16 02:17:18] Score for 300 labels: 0.9978
[2021-03-16 02:17:18] Experiment repeat 9/10
[2021-03-16 02:17:18] Randomly labelled 50/5000
[2021-03-16 02:17:18] Showing labelled: True (50/5000 visible)
[2021-03-16 02:17:18] Running: experiment 0
[2021-03-16 02:17:18] Showing labelled: True (50/5000 visible)
[2021-03-16 02:17:18] mlp: initialized 1482 parameters.
[2021-03-16 02:17:18] Creating trainer with model on device: cuda
[2021-03-16 02:17:18] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:17:19] Training loss: 1.1105
[2021-03-16 02:17:19] Testing on 5000 data points...
[2021-03-16 02:17:19] Test accuracy: 0.3998
[2021-03-16 02:17:19] Score for 50 labels: 0.3998
[2021-03-16 02:17:19] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:17:19] Found 4950 unlabelled features.
[2021-03-16 02:17:19] Searching core-set greedily...
[2021-03-16 02:17:21] Showing labelled: True (75/5000 visible)
[2021-03-16 02:17:21] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:17:21] Training loss: 0.7451
[2021-03-16 02:17:21] Testing on 5000 data points...
[2021-03-16 02:17:21] Test accuracy: 0.7850
[2021-03-16 02:17:21] Score for 75 labels: 0.7850
[2021-03-16 02:17:21] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:17:21] Found 4925 unlabelled features.
[2021-03-16 02:17:21] Searching core-set greedily...
[2021-03-16 02:17:23] Showing labelled: True (100/5000 visible)
[2021-03-16 02:17:23] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:17:24] Training loss: 0.4163
[2021-03-16 02:17:24] Testing on 5000 data points...
[2021-03-16 02:17:24] Test accuracy: 0.8548
[2021-03-16 02:17:24] Score for 100 labels: 0.8548
[2021-03-16 02:17:24] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:17:24] Found 4900 unlabelled features.
[2021-03-16 02:17:24] Searching core-set greedily...
[2021-03-16 02:17:26] Showing labelled: True (125/5000 visible)
[2021-03-16 02:17:26] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:17:27] Training loss: 0.2489
[2021-03-16 02:17:27] Testing on 5000 data points...
[2021-03-16 02:17:27] Test accuracy: 0.9296
[2021-03-16 02:17:27] Score for 125 labels: 0.9296
[2021-03-16 02:17:27] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:17:27] Found 4875 unlabelled features.
[2021-03-16 02:17:27] Searching core-set greedily...
[2021-03-16 02:17:30] Showing labelled: True (150/5000 visible)
[2021-03-16 02:17:30] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:17:31] Training loss: 0.1745
[2021-03-16 02:17:31] Testing on 5000 data points...
[2021-03-16 02:17:31] Test accuracy: 0.9934
[2021-03-16 02:17:31] Score for 150 labels: 0.9934
[2021-03-16 02:17:31] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:17:31] Found 4850 unlabelled features.
[2021-03-16 02:17:31] Searching core-set greedily...
[2021-03-16 02:17:34] Showing labelled: True (175/5000 visible)
[2021-03-16 02:17:34] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:17:35] Training loss: 0.1299
[2021-03-16 02:17:35] Testing on 5000 data points...
[2021-03-16 02:17:35] Test accuracy: 0.9964
[2021-03-16 02:17:35] Score for 175 labels: 0.9964
[2021-03-16 02:17:35] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:17:35] Found 4825 unlabelled features.
[2021-03-16 02:17:35] Searching core-set greedily...
[2021-03-16 02:17:39] Showing labelled: True (200/5000 visible)
[2021-03-16 02:17:39] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:17:40] Training loss: 0.0914
[2021-03-16 02:17:40] Testing on 5000 data points...
[2021-03-16 02:17:40] Test accuracy: 0.9968
[2021-03-16 02:17:40] Score for 200 labels: 0.9968
[2021-03-16 02:17:40] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:17:40] Found 4800 unlabelled features.
[2021-03-16 02:17:40] Searching core-set greedily...
[2021-03-16 02:17:44] Showing labelled: True (225/5000 visible)
[2021-03-16 02:17:44] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:17:45] Training loss: 0.0646
[2021-03-16 02:17:45] Testing on 5000 data points...
[2021-03-16 02:17:45] Test accuracy: 0.9964
[2021-03-16 02:17:45] Score for 225 labels: 0.9964
[2021-03-16 02:17:45] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:17:45] Found 4775 unlabelled features.
[2021-03-16 02:17:45] Searching core-set greedily...
[2021-03-16 02:17:50] Showing labelled: True (250/5000 visible)
[2021-03-16 02:17:50] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:17:51] Training loss: 0.0486
[2021-03-16 02:17:51] Testing on 5000 data points...
[2021-03-16 02:17:51] Test accuracy: 0.9972
[2021-03-16 02:17:51] Score for 250 labels: 0.9972
[2021-03-16 02:17:51] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:17:51] Found 4750 unlabelled features.
[2021-03-16 02:17:51] Searching core-set greedily...
[2021-03-16 02:17:55] Showing labelled: True (275/5000 visible)
[2021-03-16 02:17:55] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:17:56] Training loss: 0.0396
[2021-03-16 02:17:56] Testing on 5000 data points...
[2021-03-16 02:17:56] Test accuracy: 0.9972
[2021-03-16 02:17:56] Score for 275 labels: 0.9972
[2021-03-16 02:17:56] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:17:56] Found 4725 unlabelled features.
[2021-03-16 02:17:57] Searching core-set greedily...
[2021-03-16 02:18:01] Showing labelled: True (300/5000 visible)
[2021-03-16 02:18:01] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:18:02] Training loss: 0.0318
[2021-03-16 02:18:02] Testing on 5000 data points...
[2021-03-16 02:18:02] Test accuracy: 0.9974
[2021-03-16 02:18:02] Score for 300 labels: 0.9974
[2021-03-16 02:18:02] Running: experiment 1
[2021-03-16 02:18:02] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:02] mlp: initialized 1482 parameters.
[2021-03-16 02:18:02] Creating trainer with model on device: cuda
[2021-03-16 02:18:02] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:18:03] Training loss: 1.1992
[2021-03-16 02:18:03] Testing on 5000 data points...
[2021-03-16 02:18:03] Test accuracy: 0.3990
[2021-03-16 02:18:03] Score for 50 labels: 0.3990
[2021-03-16 02:18:03] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:18:03] Found 4950 unlabelled features.
[2021-03-16 02:18:03] Showing labelled: True (75/5000 visible)
[2021-03-16 02:18:03] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:18:03] Training loss: 0.5000
[2021-03-16 02:18:03] Testing on 5000 data points...
[2021-03-16 02:18:03] Test accuracy: 0.5368
[2021-03-16 02:18:03] Score for 75 labels: 0.5368
[2021-03-16 02:18:03] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:18:03] Found 4925 unlabelled features.
[2021-03-16 02:18:03] Showing labelled: True (100/5000 visible)
[2021-03-16 02:18:03] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:18:04] Training loss: 0.2849
[2021-03-16 02:18:04] Testing on 5000 data points...
[2021-03-16 02:18:04] Test accuracy: 0.6190
[2021-03-16 02:18:04] Score for 100 labels: 0.6190
[2021-03-16 02:18:04] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:18:04] Found 4900 unlabelled features.
[2021-03-16 02:18:04] Showing labelled: True (125/5000 visible)
[2021-03-16 02:18:04] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:18:05] Training loss: 0.1529
[2021-03-16 02:18:05] Testing on 5000 data points...
[2021-03-16 02:18:05] Test accuracy: 0.7990
[2021-03-16 02:18:05] Score for 125 labels: 0.7990
[2021-03-16 02:18:05] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:18:05] Found 4875 unlabelled features.
[2021-03-16 02:18:05] Showing labelled: True (150/5000 visible)
[2021-03-16 02:18:05] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:18:05] Training loss: 0.0934
[2021-03-16 02:18:05] Testing on 5000 data points...
[2021-03-16 02:18:05] Test accuracy: 0.7994
[2021-03-16 02:18:05] Score for 150 labels: 0.7994
[2021-03-16 02:18:05] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:18:05] Found 4850 unlabelled features.
[2021-03-16 02:18:05] Showing labelled: True (175/5000 visible)
[2021-03-16 02:18:05] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:18:06] Training loss: 0.0654
[2021-03-16 02:18:06] Testing on 5000 data points...
[2021-03-16 02:18:06] Test accuracy: 0.7994
[2021-03-16 02:18:06] Score for 175 labels: 0.7994
[2021-03-16 02:18:06] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:18:06] Found 4825 unlabelled features.
[2021-03-16 02:18:06] Showing labelled: True (200/5000 visible)
[2021-03-16 02:18:06] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:18:07] Training loss: 0.0479
[2021-03-16 02:18:07] Testing on 5000 data points...
[2021-03-16 02:18:07] Test accuracy: 0.8094
[2021-03-16 02:18:07] Score for 200 labels: 0.8094
[2021-03-16 02:18:07] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:18:07] Found 4800 unlabelled features.
[2021-03-16 02:18:07] Showing labelled: True (225/5000 visible)
[2021-03-16 02:18:07] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:18:09] Training loss: 0.0432
[2021-03-16 02:18:09] Testing on 5000 data points...
[2021-03-16 02:18:09] Test accuracy: 0.8692
[2021-03-16 02:18:09] Score for 225 labels: 0.8692
[2021-03-16 02:18:09] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:18:09] Found 4775 unlabelled features.
[2021-03-16 02:18:09] Showing labelled: True (250/5000 visible)
[2021-03-16 02:18:09] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:18:10] Training loss: 0.0378
[2021-03-16 02:18:10] Testing on 5000 data points...
[2021-03-16 02:18:10] Test accuracy: 0.8922
[2021-03-16 02:18:10] Score for 250 labels: 0.8922
[2021-03-16 02:18:10] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:18:10] Found 4750 unlabelled features.
[2021-03-16 02:18:10] Showing labelled: True (275/5000 visible)
[2021-03-16 02:18:10] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:18:11] Training loss: 0.0289
[2021-03-16 02:18:11] Testing on 5000 data points...
[2021-03-16 02:18:11] Test accuracy: 0.8944
[2021-03-16 02:18:11] Score for 275 labels: 0.8944
[2021-03-16 02:18:11] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:18:11] Found 4725 unlabelled features.
[2021-03-16 02:18:11] Showing labelled: True (300/5000 visible)
[2021-03-16 02:18:11] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:18:13] Training loss: 0.0217
[2021-03-16 02:18:13] Testing on 5000 data points...
[2021-03-16 02:18:13] Test accuracy: 0.8960
[2021-03-16 02:18:13] Score for 300 labels: 0.8960
[2021-03-16 02:18:13] Running: experiment 2
[2021-03-16 02:18:13] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:13] mlp: initialized 1482 parameters.
[2021-03-16 02:18:13] Creating trainer with model on device: cuda
[2021-03-16 02:18:13] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:18:13] Training loss: 1.2270
[2021-03-16 02:18:13] Testing on 5000 data points...
[2021-03-16 02:18:13] Test accuracy: 0.3990
[2021-03-16 02:18:13] Score for 50 labels: 0.3990
[2021-03-16 02:18:13] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:18:13] Found 4950 unlabelled features.
[2021-03-16 02:18:13] Showing labelled: True (75/5000 visible)
[2021-03-16 02:18:13] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:18:14] Training loss: 0.4610
[2021-03-16 02:18:14] Testing on 5000 data points...
[2021-03-16 02:18:14] Test accuracy: 0.4018
[2021-03-16 02:18:14] Score for 75 labels: 0.4018
[2021-03-16 02:18:14] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:18:14] Found 4925 unlabelled features.
[2021-03-16 02:18:14] Showing labelled: True (100/5000 visible)
[2021-03-16 02:18:14] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:18:14] Training loss: 0.1746
[2021-03-16 02:18:14] Testing on 5000 data points...
[2021-03-16 02:18:14] Test accuracy: 0.6678
[2021-03-16 02:18:14] Score for 100 labels: 0.6678
[2021-03-16 02:18:14] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:18:14] Found 4900 unlabelled features.
[2021-03-16 02:18:14] Showing labelled: True (125/5000 visible)
[2021-03-16 02:18:14] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:18:15] Training loss: 0.0746
[2021-03-16 02:18:15] Testing on 5000 data points...
[2021-03-16 02:18:15] Test accuracy: 0.7974
[2021-03-16 02:18:15] Score for 125 labels: 0.7974
[2021-03-16 02:18:15] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:18:15] Found 4875 unlabelled features.
[2021-03-16 02:18:15] Showing labelled: True (150/5000 visible)
[2021-03-16 02:18:15] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:18:16] Training loss: 0.0590
[2021-03-16 02:18:16] Testing on 5000 data points...
[2021-03-16 02:18:16] Test accuracy: 0.7978
[2021-03-16 02:18:16] Score for 150 labels: 0.7978
[2021-03-16 02:18:16] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:18:16] Found 4850 unlabelled features.
[2021-03-16 02:18:16] Showing labelled: True (175/5000 visible)
[2021-03-16 02:18:16] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:18:17] Training loss: 0.0586
[2021-03-16 02:18:17] Testing on 5000 data points...
[2021-03-16 02:18:17] Test accuracy: 0.7998
[2021-03-16 02:18:17] Score for 175 labels: 0.7998
[2021-03-16 02:18:17] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:18:17] Found 4825 unlabelled features.
[2021-03-16 02:18:17] Showing labelled: True (200/5000 visible)
[2021-03-16 02:18:17] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:18:18] Training loss: 0.0739
[2021-03-16 02:18:18] Testing on 5000 data points...
[2021-03-16 02:18:18] Test accuracy: 0.8998
[2021-03-16 02:18:18] Score for 200 labels: 0.8998
[2021-03-16 02:18:18] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:18:18] Found 4800 unlabelled features.
[2021-03-16 02:18:18] Showing labelled: True (225/5000 visible)
[2021-03-16 02:18:18] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:18:19] Training loss: 0.0305
[2021-03-16 02:18:19] Testing on 5000 data points...
[2021-03-16 02:18:19] Test accuracy: 0.8998
[2021-03-16 02:18:19] Score for 225 labels: 0.8998
[2021-03-16 02:18:19] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:18:19] Found 4775 unlabelled features.
[2021-03-16 02:18:19] Showing labelled: True (250/5000 visible)
[2021-03-16 02:18:19] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:18:21] Training loss: 0.0202
[2021-03-16 02:18:21] Testing on 5000 data points...
[2021-03-16 02:18:21] Test accuracy: 0.8998
[2021-03-16 02:18:21] Score for 250 labels: 0.8998
[2021-03-16 02:18:21] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:18:21] Found 4750 unlabelled features.
[2021-03-16 02:18:21] Showing labelled: True (275/5000 visible)
[2021-03-16 02:18:21] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:18:22] Training loss: 0.0570
[2021-03-16 02:18:22] Testing on 5000 data points...
[2021-03-16 02:18:22] Test accuracy: 0.9000
[2021-03-16 02:18:22] Score for 275 labels: 0.9000
[2021-03-16 02:18:22] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:18:22] Found 4725 unlabelled features.
[2021-03-16 02:18:22] Showing labelled: True (300/5000 visible)
[2021-03-16 02:18:22] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:18:24] Training loss: 0.0435
[2021-03-16 02:18:24] Testing on 5000 data points...
[2021-03-16 02:18:24] Test accuracy: 0.9962
[2021-03-16 02:18:24] Score for 300 labels: 0.9962
[2021-03-16 02:18:24] Running: experiment 3
[2021-03-16 02:18:24] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:24] mlp: initialized 1482 parameters.
[2021-03-16 02:18:24] Creating trainer with model on device: cuda
[2021-03-16 02:18:24] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:18:24] Training loss: 1.0663
[2021-03-16 02:18:24] Testing on 5000 data points...
[2021-03-16 02:18:24] Test accuracy: 0.3990
[2021-03-16 02:18:24] Score for 50 labels: 0.3990
[2021-03-16 02:18:24] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:18:24] Found 4950 unlabelled features.
[2021-03-16 02:18:24] Showing labelled: True (75/5000 visible)
[2021-03-16 02:18:24] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:18:24] Training loss: 0.3747
[2021-03-16 02:18:24] Testing on 5000 data points...
[2021-03-16 02:18:24] Test accuracy: 0.6068
[2021-03-16 02:18:24] Score for 75 labels: 0.6068
[2021-03-16 02:18:24] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:18:24] Found 4925 unlabelled features.
[2021-03-16 02:18:24] Showing labelled: True (100/5000 visible)
[2021-03-16 02:18:24] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:18:25] Training loss: 0.1577
[2021-03-16 02:18:25] Testing on 5000 data points...
[2021-03-16 02:18:25] Test accuracy: 0.7708
[2021-03-16 02:18:25] Score for 100 labels: 0.7708
[2021-03-16 02:18:25] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:18:25] Found 4900 unlabelled features.
[2021-03-16 02:18:25] Showing labelled: True (125/5000 visible)
[2021-03-16 02:18:25] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:18:26] Training loss: 0.0663
[2021-03-16 02:18:26] Testing on 5000 data points...
[2021-03-16 02:18:26] Test accuracy: 0.7898
[2021-03-16 02:18:26] Score for 125 labels: 0.7898
[2021-03-16 02:18:26] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:18:26] Found 4875 unlabelled features.
[2021-03-16 02:18:26] Showing labelled: True (150/5000 visible)
[2021-03-16 02:18:26] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:18:27] Training loss: 0.0366
[2021-03-16 02:18:27] Testing on 5000 data points...
[2021-03-16 02:18:27] Test accuracy: 0.7960
[2021-03-16 02:18:27] Score for 150 labels: 0.7960
[2021-03-16 02:18:27] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:18:27] Found 4850 unlabelled features.
[2021-03-16 02:18:27] Showing labelled: True (175/5000 visible)
[2021-03-16 02:18:27] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:18:28] Training loss: 0.0370
[2021-03-16 02:18:28] Testing on 5000 data points...
[2021-03-16 02:18:28] Test accuracy: 0.7984
[2021-03-16 02:18:28] Score for 175 labels: 0.7984
[2021-03-16 02:18:28] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:18:28] Found 4825 unlabelled features.
[2021-03-16 02:18:28] Showing labelled: True (200/5000 visible)
[2021-03-16 02:18:28] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:18:29] Training loss: 0.0463
[2021-03-16 02:18:29] Testing on 5000 data points...
[2021-03-16 02:18:29] Test accuracy: 0.7992
[2021-03-16 02:18:29] Score for 200 labels: 0.7992
[2021-03-16 02:18:29] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:18:29] Found 4800 unlabelled features.
[2021-03-16 02:18:29] Showing labelled: True (225/5000 visible)
[2021-03-16 02:18:29] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:18:30] Training loss: 0.0713
[2021-03-16 02:18:30] Testing on 5000 data points...
[2021-03-16 02:18:30] Test accuracy: 0.8996
[2021-03-16 02:18:30] Score for 225 labels: 0.8996
[2021-03-16 02:18:30] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:18:30] Found 4775 unlabelled features.
[2021-03-16 02:18:30] Showing labelled: True (250/5000 visible)
[2021-03-16 02:18:30] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:18:31] Training loss: 0.0700
[2021-03-16 02:18:31] Testing on 5000 data points...
[2021-03-16 02:18:31] Test accuracy: 0.8998
[2021-03-16 02:18:31] Score for 250 labels: 0.8998
[2021-03-16 02:18:31] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:18:31] Found 4750 unlabelled features.
[2021-03-16 02:18:31] Showing labelled: True (275/5000 visible)
[2021-03-16 02:18:31] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:18:33] Training loss: 0.0603
[2021-03-16 02:18:33] Testing on 5000 data points...
[2021-03-16 02:18:33] Test accuracy: 0.9970
[2021-03-16 02:18:33] Score for 275 labels: 0.9970
[2021-03-16 02:18:33] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:18:33] Found 4725 unlabelled features.
[2021-03-16 02:18:33] Showing labelled: True (300/5000 visible)
[2021-03-16 02:18:33] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:18:34] Training loss: 0.0620
[2021-03-16 02:18:34] Testing on 5000 data points...
[2021-03-16 02:18:34] Test accuracy: 0.9984
[2021-03-16 02:18:34] Score for 300 labels: 0.9984
[2021-03-16 02:18:34] Running: experiment 4
[2021-03-16 02:18:34] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:34] mlp: initialized 1482 parameters.
[2021-03-16 02:18:34] Creating trainer with model on device: cuda
[2021-03-16 02:18:34] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:18:34] Training loss: 1.4097
[2021-03-16 02:18:34] Testing on 5000 data points...
[2021-03-16 02:18:34] Test accuracy: 0.3046
[2021-03-16 02:18:34] Score for 50 labels: 0.3046
[2021-03-16 02:18:34] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:18:34] Found 4950 unlabelled features.
[2021-03-16 02:18:35] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:35] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:35] Scoring random batches...
[2021-03-16 02:18:35] Showing labelled: True (75/5000 visible)
[2021-03-16 02:18:35] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:18:36] Training loss: 0.6115
[2021-03-16 02:18:36] Testing on 5000 data points...
[2021-03-16 02:18:36] Test accuracy: 0.5946
[2021-03-16 02:18:36] Score for 75 labels: 0.5946
[2021-03-16 02:18:36] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:18:36] Found 4925 unlabelled features.
[2021-03-16 02:18:36] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:36] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:36] Scoring random batches...
[2021-03-16 02:18:36] Showing labelled: True (100/5000 visible)
[2021-03-16 02:18:36] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:18:37] Training loss: 0.3373
[2021-03-16 02:18:37] Testing on 5000 data points...
[2021-03-16 02:18:37] Test accuracy: 0.6970
[2021-03-16 02:18:37] Score for 100 labels: 0.6970
[2021-03-16 02:18:37] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:18:37] Found 4900 unlabelled features.
[2021-03-16 02:18:37] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:37] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:38] Scoring random batches...
[2021-03-16 02:18:38] Showing labelled: True (125/5000 visible)
[2021-03-16 02:18:38] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:18:38] Training loss: 0.1606
[2021-03-16 02:18:38] Testing on 5000 data points...
[2021-03-16 02:18:38] Test accuracy: 0.6984
[2021-03-16 02:18:38] Score for 125 labels: 0.6984
[2021-03-16 02:18:38] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:18:38] Found 4875 unlabelled features.
[2021-03-16 02:18:38] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:38] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:39] Scoring random batches...
[2021-03-16 02:18:39] Showing labelled: True (150/5000 visible)
[2021-03-16 02:18:39] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:18:40] Training loss: 0.1115
[2021-03-16 02:18:40] Testing on 5000 data points...
[2021-03-16 02:18:40] Test accuracy: 0.6984
[2021-03-16 02:18:40] Score for 150 labels: 0.6984
[2021-03-16 02:18:40] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:18:40] Found 4850 unlabelled features.
[2021-03-16 02:18:40] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:40] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:40] Scoring random batches...
[2021-03-16 02:18:40] Showing labelled: True (175/5000 visible)
[2021-03-16 02:18:40] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:18:41] Training loss: 0.0791
[2021-03-16 02:18:41] Testing on 5000 data points...
[2021-03-16 02:18:41] Test accuracy: 0.7026
[2021-03-16 02:18:41] Score for 175 labels: 0.7026
[2021-03-16 02:18:41] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:18:41] Found 4825 unlabelled features.
[2021-03-16 02:18:41] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:42] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:42] Scoring random batches...
[2021-03-16 02:18:42] Showing labelled: True (200/5000 visible)
[2021-03-16 02:18:42] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:18:43] Training loss: 0.0735
[2021-03-16 02:18:43] Testing on 5000 data points...
[2021-03-16 02:18:43] Test accuracy: 0.7522
[2021-03-16 02:18:43] Score for 200 labels: 0.7522
[2021-03-16 02:18:43] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:18:43] Found 4800 unlabelled features.
[2021-03-16 02:18:43] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:43] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:44] Scoring random batches...
[2021-03-16 02:18:44] Showing labelled: True (225/5000 visible)
[2021-03-16 02:18:44] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:18:45] Training loss: 0.0653
[2021-03-16 02:18:45] Testing on 5000 data points...
[2021-03-16 02:18:45] Test accuracy: 0.9884
[2021-03-16 02:18:45] Score for 225 labels: 0.9884
[2021-03-16 02:18:45] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:18:45] Found 4775 unlabelled features.
[2021-03-16 02:18:45] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:45] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:46] Scoring random batches...
[2021-03-16 02:18:46] Showing labelled: True (250/5000 visible)
[2021-03-16 02:18:46] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:18:47] Training loss: 0.0374
[2021-03-16 02:18:47] Testing on 5000 data points...
[2021-03-16 02:18:47] Test accuracy: 0.9918
[2021-03-16 02:18:47] Score for 250 labels: 0.9918
[2021-03-16 02:18:47] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:18:47] Found 4750 unlabelled features.
[2021-03-16 02:18:47] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:48] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:48] Scoring random batches...
[2021-03-16 02:18:48] Showing labelled: True (275/5000 visible)
[2021-03-16 02:18:48] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:18:50] Training loss: 0.0258
[2021-03-16 02:18:50] Testing on 5000 data points...
[2021-03-16 02:18:50] Test accuracy: 0.9948
[2021-03-16 02:18:50] Score for 275 labels: 0.9948
[2021-03-16 02:18:50] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:18:50] Found 4725 unlabelled features.
[2021-03-16 02:18:50] Training GMM (k=50) on labelled features...
[2021-03-16 02:18:50] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:18:50] Scoring random batches...
[2021-03-16 02:18:50] Showing labelled: True (300/5000 visible)
[2021-03-16 02:18:50] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:18:52] Training loss: 0.0193
[2021-03-16 02:18:52] Testing on 5000 data points...
[2021-03-16 02:18:52] Test accuracy: 0.9950
[2021-03-16 02:18:52] Score for 300 labels: 0.9950
[2021-03-16 02:18:52] Experiment repeat 10/10
[2021-03-16 02:18:52] Randomly labelled 50/5000
[2021-03-16 02:18:52] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:52] Running: experiment 0
[2021-03-16 02:18:52] Showing labelled: True (50/5000 visible)
[2021-03-16 02:18:52] mlp: initialized 1482 parameters.
[2021-03-16 02:18:52] Creating trainer with model on device: cuda
[2021-03-16 02:18:52] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:18:52] Training loss: 1.1974
[2021-03-16 02:18:52] Testing on 5000 data points...
[2021-03-16 02:18:52] Test accuracy: 0.5990
[2021-03-16 02:18:52] Score for 50 labels: 0.5990
[2021-03-16 02:18:52] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:18:52] Found 4950 unlabelled features.
[2021-03-16 02:18:52] Searching core-set greedily...
[2021-03-16 02:18:54] Showing labelled: True (75/5000 visible)
[2021-03-16 02:18:54] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:18:55] Training loss: 0.6783
[2021-03-16 02:18:55] Testing on 5000 data points...
[2021-03-16 02:18:55] Test accuracy: 0.8456
[2021-03-16 02:18:55] Score for 75 labels: 0.8456
[2021-03-16 02:18:55] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:18:55] Found 4925 unlabelled features.
[2021-03-16 02:18:55] Searching core-set greedily...
[2021-03-16 02:18:57] Showing labelled: True (100/5000 visible)
[2021-03-16 02:18:57] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:18:57] Training loss: 0.3609
[2021-03-16 02:18:57] Testing on 5000 data points...
[2021-03-16 02:18:57] Test accuracy: 0.9070
[2021-03-16 02:18:57] Score for 100 labels: 0.9070
[2021-03-16 02:18:57] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:18:57] Found 4900 unlabelled features.
[2021-03-16 02:18:57] Searching core-set greedily...
[2021-03-16 02:19:00] Showing labelled: True (125/5000 visible)
[2021-03-16 02:19:00] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:19:01] Training loss: 0.2083
[2021-03-16 02:19:01] Testing on 5000 data points...
[2021-03-16 02:19:01] Test accuracy: 0.9930
[2021-03-16 02:19:01] Score for 125 labels: 0.9930
[2021-03-16 02:19:01] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:19:01] Found 4875 unlabelled features.
[2021-03-16 02:19:01] Searching core-set greedily...
[2021-03-16 02:19:04] Showing labelled: True (150/5000 visible)
[2021-03-16 02:19:04] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:19:04] Training loss: 0.1370
[2021-03-16 02:19:04] Testing on 5000 data points...
[2021-03-16 02:19:04] Test accuracy: 0.9956
[2021-03-16 02:19:04] Score for 150 labels: 0.9956
[2021-03-16 02:19:04] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:19:04] Found 4850 unlabelled features.
[2021-03-16 02:19:04] Searching core-set greedily...
[2021-03-16 02:19:08] Showing labelled: True (175/5000 visible)
[2021-03-16 02:19:08] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:19:09] Training loss: 0.0927
[2021-03-16 02:19:09] Testing on 5000 data points...
[2021-03-16 02:19:09] Test accuracy: 0.9972
[2021-03-16 02:19:09] Score for 175 labels: 0.9972
[2021-03-16 02:19:09] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:19:09] Found 4825 unlabelled features.
[2021-03-16 02:19:09] Searching core-set greedily...
[2021-03-16 02:19:13] Showing labelled: True (200/5000 visible)
[2021-03-16 02:19:13] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:19:14] Training loss: 0.0655
[2021-03-16 02:19:14] Testing on 5000 data points...
[2021-03-16 02:19:14] Test accuracy: 0.9974
[2021-03-16 02:19:14] Score for 200 labels: 0.9974
[2021-03-16 02:19:14] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:19:14] Found 4800 unlabelled features.
[2021-03-16 02:19:14] Searching core-set greedily...
[2021-03-16 02:19:18] Showing labelled: True (225/5000 visible)
[2021-03-16 02:19:18] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:19:19] Training loss: 0.0519
[2021-03-16 02:19:19] Testing on 5000 data points...
[2021-03-16 02:19:19] Test accuracy: 0.9990
[2021-03-16 02:19:19] Score for 225 labels: 0.9990
[2021-03-16 02:19:19] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:19:19] Found 4775 unlabelled features.
[2021-03-16 02:19:19] Searching core-set greedily...
[2021-03-16 02:19:24] Showing labelled: True (250/5000 visible)
[2021-03-16 02:19:24] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:19:25] Training loss: 0.0387
[2021-03-16 02:19:25] Testing on 5000 data points...
[2021-03-16 02:19:25] Test accuracy: 0.9984
[2021-03-16 02:19:25] Score for 250 labels: 0.9984
[2021-03-16 02:19:25] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:19:25] Found 4750 unlabelled features.
[2021-03-16 02:19:25] Searching core-set greedily...
[2021-03-16 02:19:31] Showing labelled: True (275/5000 visible)
[2021-03-16 02:19:31] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:19:33] Training loss: 0.0301
[2021-03-16 02:19:33] Testing on 5000 data points...
[2021-03-16 02:19:33] Test accuracy: 0.9982
[2021-03-16 02:19:33] Score for 275 labels: 0.9982
[2021-03-16 02:19:33] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:19:33] Found 4725 unlabelled features.
[2021-03-16 02:19:33] Searching core-set greedily...
[2021-03-16 02:19:38] Showing labelled: True (300/5000 visible)
[2021-03-16 02:19:38] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:19:39] Training loss: 0.0239
[2021-03-16 02:19:39] Testing on 5000 data points...
[2021-03-16 02:19:39] Test accuracy: 0.9984
[2021-03-16 02:19:39] Score for 300 labels: 0.9984
[2021-03-16 02:19:39] Running: experiment 1
[2021-03-16 02:19:39] Showing labelled: True (50/5000 visible)
[2021-03-16 02:19:39] mlp: initialized 1482 parameters.
[2021-03-16 02:19:39] Creating trainer with model on device: cuda
[2021-03-16 02:19:39] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:19:39] Training loss: 1.3279
[2021-03-16 02:19:39] Testing on 5000 data points...
[2021-03-16 02:19:40] Test accuracy: 0.5990
[2021-03-16 02:19:40] Score for 50 labels: 0.5990
[2021-03-16 02:19:40] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:19:40] Found 4950 unlabelled features.
[2021-03-16 02:19:40] Showing labelled: True (75/5000 visible)
[2021-03-16 02:19:40] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:19:40] Training loss: 0.5732
[2021-03-16 02:19:40] Testing on 5000 data points...
[2021-03-16 02:19:40] Test accuracy: 0.8150
[2021-03-16 02:19:40] Score for 75 labels: 0.8150
[2021-03-16 02:19:40] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:19:40] Found 4925 unlabelled features.
[2021-03-16 02:19:40] Showing labelled: True (100/5000 visible)
[2021-03-16 02:19:40] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:19:41] Training loss: 0.2242
[2021-03-16 02:19:41] Testing on 5000 data points...
[2021-03-16 02:19:41] Test accuracy: 0.8866
[2021-03-16 02:19:41] Score for 100 labels: 0.8866
[2021-03-16 02:19:41] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:19:41] Found 4900 unlabelled features.
[2021-03-16 02:19:41] Showing labelled: True (125/5000 visible)
[2021-03-16 02:19:41] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:19:41] Training loss: 0.1388
[2021-03-16 02:19:41] Testing on 5000 data points...
[2021-03-16 02:19:41] Test accuracy: 0.8988
[2021-03-16 02:19:41] Score for 125 labels: 0.8988
[2021-03-16 02:19:41] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:19:41] Found 4875 unlabelled features.
[2021-03-16 02:19:41] Showing labelled: True (150/5000 visible)
[2021-03-16 02:19:41] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:19:42] Training loss: 0.0902
[2021-03-16 02:19:42] Testing on 5000 data points...
[2021-03-16 02:19:42] Test accuracy: 0.9074
[2021-03-16 02:19:42] Score for 150 labels: 0.9074
[2021-03-16 02:19:42] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:19:42] Found 4850 unlabelled features.
[2021-03-16 02:19:42] Showing labelled: True (175/5000 visible)
[2021-03-16 02:19:42] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:19:43] Training loss: 0.0664
[2021-03-16 02:19:43] Testing on 5000 data points...
[2021-03-16 02:19:43] Test accuracy: 0.9284
[2021-03-16 02:19:43] Score for 175 labels: 0.9284
[2021-03-16 02:19:43] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:19:43] Found 4825 unlabelled features.
[2021-03-16 02:19:43] Showing labelled: True (200/5000 visible)
[2021-03-16 02:19:43] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:19:44] Training loss: 0.0656
[2021-03-16 02:19:44] Testing on 5000 data points...
[2021-03-16 02:19:44] Test accuracy: 0.9722
[2021-03-16 02:19:44] Score for 200 labels: 0.9722
[2021-03-16 02:19:44] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:19:44] Found 4800 unlabelled features.
[2021-03-16 02:19:44] Showing labelled: True (225/5000 visible)
[2021-03-16 02:19:44] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:19:45] Training loss: 0.0430
[2021-03-16 02:19:45] Testing on 5000 data points...
[2021-03-16 02:19:46] Test accuracy: 0.9836
[2021-03-16 02:19:46] Score for 225 labels: 0.9836
[2021-03-16 02:19:46] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:19:46] Found 4775 unlabelled features.
[2021-03-16 02:19:46] Showing labelled: True (250/5000 visible)
[2021-03-16 02:19:46] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:19:47] Training loss: 0.0281
[2021-03-16 02:19:47] Testing on 5000 data points...
[2021-03-16 02:19:47] Test accuracy: 0.9898
[2021-03-16 02:19:47] Score for 250 labels: 0.9898
[2021-03-16 02:19:47] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:19:47] Found 4750 unlabelled features.
[2021-03-16 02:19:47] Showing labelled: True (275/5000 visible)
[2021-03-16 02:19:47] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:19:48] Training loss: 0.0256
[2021-03-16 02:19:48] Testing on 5000 data points...
[2021-03-16 02:19:48] Test accuracy: 0.9950
[2021-03-16 02:19:48] Score for 275 labels: 0.9950
[2021-03-16 02:19:48] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:19:48] Found 4725 unlabelled features.
[2021-03-16 02:19:48] Showing labelled: True (300/5000 visible)
[2021-03-16 02:19:48] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:19:50] Training loss: 0.0200
[2021-03-16 02:19:50] Testing on 5000 data points...
[2021-03-16 02:19:50] Test accuracy: 0.9960
[2021-03-16 02:19:50] Score for 300 labels: 0.9960
[2021-03-16 02:19:50] Running: experiment 2
[2021-03-16 02:19:50] Showing labelled: True (50/5000 visible)
[2021-03-16 02:19:50] mlp: initialized 1482 parameters.
[2021-03-16 02:19:50] Creating trainer with model on device: cuda
[2021-03-16 02:19:50] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:19:50] Training loss: 1.3297
[2021-03-16 02:19:50] Testing on 5000 data points...
[2021-03-16 02:19:50] Test accuracy: 0.5586
[2021-03-16 02:19:50] Score for 50 labels: 0.5586
[2021-03-16 02:19:50] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:19:50] Found 4950 unlabelled features.
[2021-03-16 02:19:50] Showing labelled: True (75/5000 visible)
[2021-03-16 02:19:50] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:19:51] Training loss: 0.6087
[2021-03-16 02:19:51] Testing on 5000 data points...
[2021-03-16 02:19:51] Test accuracy: 0.6000
[2021-03-16 02:19:51] Score for 75 labels: 0.6000
[2021-03-16 02:19:51] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:19:51] Found 4925 unlabelled features.
[2021-03-16 02:19:51] Showing labelled: True (100/5000 visible)
[2021-03-16 02:19:51] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:19:51] Training loss: 0.2206
[2021-03-16 02:19:51] Testing on 5000 data points...
[2021-03-16 02:19:51] Test accuracy: 0.7448
[2021-03-16 02:19:51] Score for 100 labels: 0.7448
[2021-03-16 02:19:51] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:19:51] Found 4900 unlabelled features.
[2021-03-16 02:19:51] Showing labelled: True (125/5000 visible)
[2021-03-16 02:19:51] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:19:52] Training loss: 0.1231
[2021-03-16 02:19:52] Testing on 5000 data points...
[2021-03-16 02:19:52] Test accuracy: 0.7994
[2021-03-16 02:19:52] Score for 125 labels: 0.7994
[2021-03-16 02:19:52] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:19:52] Found 4875 unlabelled features.
[2021-03-16 02:19:52] Showing labelled: True (150/5000 visible)
[2021-03-16 02:19:52] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:19:53] Training loss: 0.1167
[2021-03-16 02:19:53] Testing on 5000 data points...
[2021-03-16 02:19:53] Test accuracy: 0.7978
[2021-03-16 02:19:53] Score for 150 labels: 0.7978
[2021-03-16 02:19:53] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:19:53] Found 4850 unlabelled features.
[2021-03-16 02:19:53] Showing labelled: True (175/5000 visible)
[2021-03-16 02:19:53] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:19:54] Training loss: 0.0670
[2021-03-16 02:19:54] Testing on 5000 data points...
[2021-03-16 02:19:54] Test accuracy: 0.8982
[2021-03-16 02:19:54] Score for 175 labels: 0.8982
[2021-03-16 02:19:54] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:19:54] Found 4825 unlabelled features.
[2021-03-16 02:19:54] Showing labelled: True (200/5000 visible)
[2021-03-16 02:19:54] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:19:55] Training loss: 0.0653
[2021-03-16 02:19:55] Testing on 5000 data points...
[2021-03-16 02:19:55] Test accuracy: 0.8998
[2021-03-16 02:19:55] Score for 200 labels: 0.8998
[2021-03-16 02:19:55] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:19:55] Found 4800 unlabelled features.
[2021-03-16 02:19:55] Showing labelled: True (225/5000 visible)
[2021-03-16 02:19:55] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:19:56] Training loss: 0.0908
[2021-03-16 02:19:56] Testing on 5000 data points...
[2021-03-16 02:19:56] Test accuracy: 0.9810
[2021-03-16 02:19:56] Score for 225 labels: 0.9810
[2021-03-16 02:19:56] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:19:56] Found 4775 unlabelled features.
[2021-03-16 02:19:56] Showing labelled: True (250/5000 visible)
[2021-03-16 02:19:56] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:19:57] Training loss: 0.0654
[2021-03-16 02:19:57] Testing on 5000 data points...
[2021-03-16 02:19:57] Test accuracy: 0.9966
[2021-03-16 02:19:57] Score for 250 labels: 0.9966
[2021-03-16 02:19:57] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:19:57] Found 4750 unlabelled features.
[2021-03-16 02:19:57] Showing labelled: True (275/5000 visible)
[2021-03-16 02:19:57] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:19:59] Training loss: 0.0634
[2021-03-16 02:19:59] Testing on 5000 data points...
[2021-03-16 02:19:59] Test accuracy: 0.9968
[2021-03-16 02:19:59] Score for 275 labels: 0.9968
[2021-03-16 02:19:59] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:19:59] Found 4725 unlabelled features.
[2021-03-16 02:19:59] Showing labelled: True (300/5000 visible)
[2021-03-16 02:19:59] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:20:00] Training loss: 0.0675
[2021-03-16 02:20:00] Testing on 5000 data points...
[2021-03-16 02:20:00] Test accuracy: 0.9978
[2021-03-16 02:20:00] Score for 300 labels: 0.9978
[2021-03-16 02:20:00] Running: experiment 3
[2021-03-16 02:20:00] Showing labelled: True (50/5000 visible)
[2021-03-16 02:20:00] mlp: initialized 1482 parameters.
[2021-03-16 02:20:00] Creating trainer with model on device: cuda
[2021-03-16 02:20:00] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:20:01] Training loss: 1.2848
[2021-03-16 02:20:01] Testing on 5000 data points...
[2021-03-16 02:20:01] Test accuracy: 0.5840
[2021-03-16 02:20:01] Score for 50 labels: 0.5840
[2021-03-16 02:20:01] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:20:01] Found 4950 unlabelled features.
[2021-03-16 02:20:01] Showing labelled: True (75/5000 visible)
[2021-03-16 02:20:01] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:20:01] Training loss: 0.4738
[2021-03-16 02:20:01] Testing on 5000 data points...
[2021-03-16 02:20:01] Test accuracy: 0.7052
[2021-03-16 02:20:01] Score for 75 labels: 0.7052
[2021-03-16 02:20:01] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:20:01] Found 4925 unlabelled features.
[2021-03-16 02:20:01] Showing labelled: True (100/5000 visible)
[2021-03-16 02:20:01] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:20:02] Training loss: 0.2330
[2021-03-16 02:20:02] Testing on 5000 data points...
[2021-03-16 02:20:02] Test accuracy: 0.8756
[2021-03-16 02:20:02] Score for 100 labels: 0.8756
[2021-03-16 02:20:02] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:20:02] Found 4900 unlabelled features.
[2021-03-16 02:20:02] Showing labelled: True (125/5000 visible)
[2021-03-16 02:20:02] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:20:03] Training loss: 0.1067
[2021-03-16 02:20:03] Testing on 5000 data points...
[2021-03-16 02:20:03] Test accuracy: 0.8960
[2021-03-16 02:20:03] Score for 125 labels: 0.8960
[2021-03-16 02:20:03] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:20:03] Found 4875 unlabelled features.
[2021-03-16 02:20:03] Showing labelled: True (150/5000 visible)
[2021-03-16 02:20:03] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:20:03] Training loss: 0.1052
[2021-03-16 02:20:03] Testing on 5000 data points...
[2021-03-16 02:20:04] Test accuracy: 0.8994
[2021-03-16 02:20:04] Score for 150 labels: 0.8994
[2021-03-16 02:20:04] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:20:04] Found 4850 unlabelled features.
[2021-03-16 02:20:04] Showing labelled: True (175/5000 visible)
[2021-03-16 02:20:04] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:20:04] Training loss: 0.0915
[2021-03-16 02:20:04] Testing on 5000 data points...
[2021-03-16 02:20:05] Test accuracy: 0.8988
[2021-03-16 02:20:05] Score for 175 labels: 0.8988
[2021-03-16 02:20:05] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:20:05] Found 4825 unlabelled features.
[2021-03-16 02:20:05] Showing labelled: True (200/5000 visible)
[2021-03-16 02:20:05] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:20:06] Training loss: 0.1031
[2021-03-16 02:20:06] Testing on 5000 data points...
[2021-03-16 02:20:06] Test accuracy: 0.9872
[2021-03-16 02:20:06] Score for 200 labels: 0.9872
[2021-03-16 02:20:06] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:20:06] Found 4800 unlabelled features.
[2021-03-16 02:20:06] Showing labelled: True (225/5000 visible)
[2021-03-16 02:20:06] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:20:07] Training loss: 0.0678
[2021-03-16 02:20:07] Testing on 5000 data points...
[2021-03-16 02:20:07] Test accuracy: 0.9982
[2021-03-16 02:20:07] Score for 225 labels: 0.9982
[2021-03-16 02:20:07] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:20:07] Found 4775 unlabelled features.
[2021-03-16 02:20:07] Showing labelled: True (250/5000 visible)
[2021-03-16 02:20:07] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:20:08] Training loss: 0.0601
[2021-03-16 02:20:08] Testing on 5000 data points...
[2021-03-16 02:20:08] Test accuracy: 0.9944
[2021-03-16 02:20:08] Score for 250 labels: 0.9944
[2021-03-16 02:20:08] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:20:08] Found 4750 unlabelled features.
[2021-03-16 02:20:08] Showing labelled: True (275/5000 visible)
[2021-03-16 02:20:08] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:20:10] Training loss: 0.0623
[2021-03-16 02:20:10] Testing on 5000 data points...
[2021-03-16 02:20:10] Test accuracy: 0.9986
[2021-03-16 02:20:10] Score for 275 labels: 0.9986
[2021-03-16 02:20:10] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:20:10] Found 4725 unlabelled features.
[2021-03-16 02:20:10] Showing labelled: True (300/5000 visible)
[2021-03-16 02:20:10] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:20:11] Training loss: 0.0548
[2021-03-16 02:20:11] Testing on 5000 data points...
[2021-03-16 02:20:11] Test accuracy: 0.9978
[2021-03-16 02:20:11] Score for 300 labels: 0.9978
[2021-03-16 02:20:11] Running: experiment 4
[2021-03-16 02:20:11] Showing labelled: True (50/5000 visible)
[2021-03-16 02:20:11] mlp: initialized 1482 parameters.
[2021-03-16 02:20:11] Creating trainer with model on device: cuda
[2021-03-16 02:20:11] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:20:11] Training loss: 1.2304
[2021-03-16 02:20:11] Testing on 5000 data points...
[2021-03-16 02:20:11] Test accuracy: 0.5964
[2021-03-16 02:20:11] Score for 50 labels: 0.5964
[2021-03-16 02:20:11] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:20:11] Found 4950 unlabelled features.
[2021-03-16 02:20:11] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:12] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:12] Scoring random batches...
[2021-03-16 02:20:12] Showing labelled: True (75/5000 visible)
[2021-03-16 02:20:12] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:20:12] Training loss: 0.5039
[2021-03-16 02:20:12] Testing on 5000 data points...
[2021-03-16 02:20:12] Test accuracy: 0.6018
[2021-03-16 02:20:12] Score for 75 labels: 0.6018
[2021-03-16 02:20:12] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:20:12] Found 4925 unlabelled features.
[2021-03-16 02:20:13] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:13] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:13] Scoring random batches...
[2021-03-16 02:20:13] Showing labelled: True (100/5000 visible)
[2021-03-16 02:20:13] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:20:14] Training loss: 0.2648
[2021-03-16 02:20:14] Testing on 5000 data points...
[2021-03-16 02:20:14] Test accuracy: 0.6964
[2021-03-16 02:20:14] Score for 100 labels: 0.6964
[2021-03-16 02:20:14] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:20:14] Found 4900 unlabelled features.
[2021-03-16 02:20:14] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:14] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:14] Scoring random batches...
[2021-03-16 02:20:14] Showing labelled: True (125/5000 visible)
[2021-03-16 02:20:14] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:20:15] Training loss: 0.1606
[2021-03-16 02:20:15] Testing on 5000 data points...
[2021-03-16 02:20:15] Test accuracy: 0.7986
[2021-03-16 02:20:15] Score for 125 labels: 0.7986
[2021-03-16 02:20:15] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:20:15] Found 4875 unlabelled features.
[2021-03-16 02:20:15] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:15] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:15] Scoring random batches...
[2021-03-16 02:20:15] Showing labelled: True (150/5000 visible)
[2021-03-16 02:20:15] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:20:16] Training loss: 0.1089
[2021-03-16 02:20:16] Testing on 5000 data points...
[2021-03-16 02:20:16] Test accuracy: 0.8020
[2021-03-16 02:20:16] Score for 150 labels: 0.8020
[2021-03-16 02:20:16] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:20:16] Found 4850 unlabelled features.
[2021-03-16 02:20:16] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:16] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:17] Scoring random batches...
[2021-03-16 02:20:17] Showing labelled: True (175/5000 visible)
[2021-03-16 02:20:17] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:20:18] Training loss: 0.0776
[2021-03-16 02:20:18] Testing on 5000 data points...
[2021-03-16 02:20:18] Test accuracy: 0.8392
[2021-03-16 02:20:18] Score for 175 labels: 0.8392
[2021-03-16 02:20:18] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:20:18] Found 4825 unlabelled features.
[2021-03-16 02:20:18] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:18] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:18] Scoring random batches...
[2021-03-16 02:20:18] Showing labelled: True (200/5000 visible)
[2021-03-16 02:20:18] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:20:19] Training loss: 0.0604
[2021-03-16 02:20:19] Testing on 5000 data points...
[2021-03-16 02:20:19] Test accuracy: 0.8868
[2021-03-16 02:20:19] Score for 200 labels: 0.8868
[2021-03-16 02:20:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:20:19] Found 4800 unlabelled features.
[2021-03-16 02:20:20] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:20] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:20] Scoring random batches...
[2021-03-16 02:20:20] Showing labelled: True (225/5000 visible)
[2021-03-16 02:20:20] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:20:21] Training loss: 0.0533
[2021-03-16 02:20:21] Testing on 5000 data points...
[2021-03-16 02:20:21] Test accuracy: 0.8936
[2021-03-16 02:20:21] Score for 225 labels: 0.8936
[2021-03-16 02:20:21] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:20:21] Found 4775 unlabelled features.
[2021-03-16 02:20:21] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:22] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:22] Scoring random batches...
[2021-03-16 02:20:22] Showing labelled: True (250/5000 visible)
[2021-03-16 02:20:22] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:20:24] Training loss: 0.0334
[2021-03-16 02:20:24] Testing on 5000 data points...
[2021-03-16 02:20:24] Test accuracy: 0.9952
[2021-03-16 02:20:24] Score for 250 labels: 0.9952
[2021-03-16 02:20:24] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:20:24] Found 4750 unlabelled features.
[2021-03-16 02:20:24] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:24] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:25] Scoring random batches...
[2021-03-16 02:20:25] Showing labelled: True (275/5000 visible)
[2021-03-16 02:20:25] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:20:26] Training loss: 0.0232
[2021-03-16 02:20:26] Testing on 5000 data points...
[2021-03-16 02:20:26] Test accuracy: 0.9960
[2021-03-16 02:20:26] Score for 275 labels: 0.9960
[2021-03-16 02:20:26] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:20:26] Found 4725 unlabelled features.
[2021-03-16 02:20:26] Training GMM (k=50) on labelled features...
[2021-03-16 02:20:26] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:20:27] Scoring random batches...
[2021-03-16 02:20:27] Showing labelled: True (300/5000 visible)
[2021-03-16 02:20:27] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:20:28] Training loss: 0.0173
[2021-03-16 02:20:28] Testing on 5000 data points...
[2021-03-16 02:20:28] Test accuracy: 0.9964
[2021-03-16 02:20:28] Score for 300 labels: 0.9964
[2021-03-16 02:20:28] Updated results: ../results/final_p_coreset_focus_fewer_mc/results.json
