[2021-03-14 20:04:03] Seeded: 5
[2021-03-14 20:04:03] Created experiment 0:
[2021-03-14 20:04:03]  - Model: mlp
[2021-03-14 20:04:03]  - Acquisition function: random
[2021-03-14 20:04:03] Created experiment 1:
[2021-03-14 20:04:03]  - Model: mlp
[2021-03-14 20:04:03]  - Acquisition function: least-confidence
[2021-03-14 20:04:03] Created experiment 2:
[2021-03-14 20:04:03]  - Model: mlp
[2021-03-14 20:04:03]  - Acquisition function: max-entropy
[2021-03-14 20:04:03] Created experiment 3:
[2021-03-14 20:04:03]  - Model: mlp
[2021-03-14 20:04:03]  - Acquisition function: p-coreset
[2021-03-14 20:04:03] Loading blobsthin test set...
[2021-03-14 20:04:03] Generated 5000 blobs:
[2021-03-14 20:04:03] Class 0: 200
[2021-03-14 20:04:03] Class 1: 300
[2021-03-14 20:04:03] Class 2: 1000
[2021-03-14 20:04:03] Class 3: 100
[2021-03-14 20:04:03] Class 4: 50
[2021-03-14 20:04:03] Class 5: 200
[2021-03-14 20:04:03] Class 6: 400
[2021-03-14 20:04:03] Class 7: 1800
[2021-03-14 20:04:03] Class 8: 50
[2021-03-14 20:04:03] Class 9: 900
[2021-03-14 20:04:03] Saved figure to: ../data/blobsthin_data.png
[2021-03-14 20:04:03] Generated 5000 test points.
[2021-03-14 20:04:03] Saved figure to: ../data/blobsthin_test.png
[2021-03-14 20:04:03] Experiment repeat 1/2
[2021-03-14 20:04:03] Randomly labelled 1000/5000
[2021-03-14 20:04:03] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:04:03] Running: experiment 0
[2021-03-14 20:04:03] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:04:03] mlp: initialized 1482 parameters.
[2021-03-14 20:04:03] Creating trainer with model on device: cuda
[2021-03-14 20:04:08] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:04:14] Training loss: 0.2456
[2021-03-14 20:04:14] Testing on 5000 data points...
[2021-03-14 20:04:14] Test accuracy: 0.9958
[2021-03-14 20:04:14] Score for 1000 labels: 0.9958
[2021-03-14 20:04:14] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:04:14] Found 4000 unlabelled features.
[2021-03-14 20:04:14] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:04:14] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:04:20] Training loss: 0.0203
[2021-03-14 20:04:20] Testing on 5000 data points...
[2021-03-14 20:04:20] Test accuracy: 1.0000
[2021-03-14 20:04:20] Score for 1050 labels: 1.0000
[2021-03-14 20:04:20] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:04:20] Found 3950 unlabelled features.
[2021-03-14 20:04:20] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:04:20] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:04:26] Training loss: 0.0062
[2021-03-14 20:04:26] Testing on 5000 data points...
[2021-03-14 20:04:26] Test accuracy: 1.0000
[2021-03-14 20:04:26] Score for 1100 labels: 1.0000
[2021-03-14 20:04:26] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:04:26] Found 3900 unlabelled features.
[2021-03-14 20:04:26] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:04:26] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:04:33] Training loss: 0.0033
[2021-03-14 20:04:33] Testing on 5000 data points...
[2021-03-14 20:04:33] Test accuracy: 1.0000
[2021-03-14 20:04:33] Score for 1150 labels: 1.0000
[2021-03-14 20:04:33] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:04:33] Found 3850 unlabelled features.
[2021-03-14 20:04:33] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:04:33] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:04:40] Training loss: 0.0021
[2021-03-14 20:04:40] Testing on 5000 data points...
[2021-03-14 20:04:40] Test accuracy: 1.0000
[2021-03-14 20:04:40] Score for 1200 labels: 1.0000
[2021-03-14 20:04:40] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:04:40] Found 3800 unlabelled features.
[2021-03-14 20:04:40] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:04:40] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:04:47] Training loss: 0.0015
[2021-03-14 20:04:47] Testing on 5000 data points...
[2021-03-14 20:04:47] Test accuracy: 1.0000
[2021-03-14 20:04:47] Score for 1250 labels: 1.0000
[2021-03-14 20:04:47] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:04:47] Found 3750 unlabelled features.
[2021-03-14 20:04:47] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:04:47] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:04:54] Training loss: 0.0011
[2021-03-14 20:04:54] Testing on 5000 data points...
[2021-03-14 20:04:54] Test accuracy: 1.0000
[2021-03-14 20:04:54] Score for 1300 labels: 1.0000
[2021-03-14 20:04:54] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:04:54] Found 3700 unlabelled features.
[2021-03-14 20:04:54] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:04:54] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:05:02] Training loss: 0.0009
[2021-03-14 20:05:02] Testing on 5000 data points...
[2021-03-14 20:05:02] Test accuracy: 1.0000
[2021-03-14 20:05:02] Score for 1350 labels: 1.0000
[2021-03-14 20:05:02] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:05:02] Found 3650 unlabelled features.
[2021-03-14 20:05:02] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:05:02] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:05:10] Training loss: 0.0007
[2021-03-14 20:05:10] Testing on 5000 data points...
[2021-03-14 20:05:10] Test accuracy: 1.0000
[2021-03-14 20:05:10] Score for 1400 labels: 1.0000
[2021-03-14 20:05:10] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:05:10] Found 3600 unlabelled features.
[2021-03-14 20:05:10] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:05:10] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:05:19] Training loss: 0.0006
[2021-03-14 20:05:19] Testing on 5000 data points...
[2021-03-14 20:05:19] Test accuracy: 1.0000
[2021-03-14 20:05:19] Score for 1450 labels: 1.0000
[2021-03-14 20:05:19] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:05:19] Found 3550 unlabelled features.
[2021-03-14 20:05:19] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:05:19] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:05:27] Training loss: 0.0005
[2021-03-14 20:05:27] Testing on 5000 data points...
[2021-03-14 20:05:27] Test accuracy: 1.0000
[2021-03-14 20:05:27] Score for 1500 labels: 1.0000
[2021-03-14 20:05:27] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:05:27] Found 3500 unlabelled features.
[2021-03-14 20:05:27] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:05:27] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:05:36] Training loss: 0.0004
[2021-03-14 20:05:36] Testing on 5000 data points...
[2021-03-14 20:05:36] Test accuracy: 1.0000
[2021-03-14 20:05:36] Score for 1550 labels: 1.0000
[2021-03-14 20:05:36] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:05:36] Found 3450 unlabelled features.
[2021-03-14 20:05:36] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:05:36] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:05:45] Training loss: 0.0004
[2021-03-14 20:05:45] Testing on 5000 data points...
[2021-03-14 20:05:45] Test accuracy: 1.0000
[2021-03-14 20:05:45] Score for 1600 labels: 1.0000
[2021-03-14 20:05:45] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:05:45] Found 3400 unlabelled features.
[2021-03-14 20:05:45] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:05:45] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:05:55] Training loss: 0.0003
[2021-03-14 20:05:55] Testing on 5000 data points...
[2021-03-14 20:05:55] Test accuracy: 1.0000
[2021-03-14 20:05:55] Score for 1650 labels: 1.0000
[2021-03-14 20:05:55] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:05:55] Found 3350 unlabelled features.
[2021-03-14 20:05:55] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:05:55] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:06:04] Training loss: 0.0003
[2021-03-14 20:06:04] Testing on 5000 data points...
[2021-03-14 20:06:04] Test accuracy: 1.0000
[2021-03-14 20:06:04] Score for 1700 labels: 1.0000
[2021-03-14 20:06:04] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:06:04] Found 3300 unlabelled features.
[2021-03-14 20:06:04] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:06:04] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:06:14] Training loss: 0.0003
[2021-03-14 20:06:14] Testing on 5000 data points...
[2021-03-14 20:06:14] Test accuracy: 1.0000
[2021-03-14 20:06:14] Score for 1750 labels: 1.0000
[2021-03-14 20:06:14] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:06:14] Found 3250 unlabelled features.
[2021-03-14 20:06:14] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:06:14] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:06:25] Training loss: 0.0003
[2021-03-14 20:06:25] Testing on 5000 data points...
[2021-03-14 20:06:25] Test accuracy: 1.0000
[2021-03-14 20:06:25] Score for 1800 labels: 1.0000
[2021-03-14 20:06:25] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:06:25] Found 3200 unlabelled features.
[2021-03-14 20:06:25] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:06:25] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:06:35] Training loss: 0.0002
[2021-03-14 20:06:35] Testing on 5000 data points...
[2021-03-14 20:06:35] Test accuracy: 1.0000
[2021-03-14 20:06:35] Score for 1850 labels: 1.0000
[2021-03-14 20:06:35] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:06:35] Found 3150 unlabelled features.
[2021-03-14 20:06:35] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:06:35] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:06:46] Training loss: 0.0002
[2021-03-14 20:06:46] Testing on 5000 data points...
[2021-03-14 20:06:46] Test accuracy: 1.0000
[2021-03-14 20:06:46] Score for 1900 labels: 1.0000
[2021-03-14 20:06:46] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:06:46] Found 3100 unlabelled features.
[2021-03-14 20:06:46] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:06:46] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:06:57] Training loss: 0.0002
[2021-03-14 20:06:57] Testing on 5000 data points...
[2021-03-14 20:06:57] Test accuracy: 1.0000
[2021-03-14 20:06:57] Score for 1950 labels: 1.0000
[2021-03-14 20:06:57] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:06:57] Found 3050 unlabelled features.
[2021-03-14 20:06:57] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:06:57] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:07:08] Training loss: 0.0002
[2021-03-14 20:07:08] Testing on 5000 data points...
[2021-03-14 20:07:08] Test accuracy: 1.0000
[2021-03-14 20:07:08] Score for 2000 labels: 1.0000
[2021-03-14 20:07:08] Running: experiment 1
[2021-03-14 20:07:08] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:07:08] mlp: initialized 1482 parameters.
[2021-03-14 20:07:08] Creating trainer with model on device: cuda
[2021-03-14 20:07:08] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:07:14] Training loss: 0.2385
[2021-03-14 20:07:14] Testing on 5000 data points...
[2021-03-14 20:07:14] Test accuracy: 0.9994
[2021-03-14 20:07:14] Score for 1000 labels: 0.9994
[2021-03-14 20:07:14] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:07:14] Found 4000 unlabelled features.
[2021-03-14 20:07:14] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:07:14] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:07:20] Training loss: 0.0187
[2021-03-14 20:07:20] Testing on 5000 data points...
[2021-03-14 20:07:20] Test accuracy: 1.0000
[2021-03-14 20:07:20] Score for 1050 labels: 1.0000
[2021-03-14 20:07:20] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:07:20] Found 3950 unlabelled features.
[2021-03-14 20:07:20] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:07:20] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:07:26] Training loss: 0.0066
[2021-03-14 20:07:26] Testing on 5000 data points...
[2021-03-14 20:07:26] Test accuracy: 1.0000
[2021-03-14 20:07:26] Score for 1100 labels: 1.0000
[2021-03-14 20:07:26] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:07:26] Found 3900 unlabelled features.
[2021-03-14 20:07:27] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:07:27] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:07:33] Training loss: 0.0037
[2021-03-14 20:07:33] Testing on 5000 data points...
[2021-03-14 20:07:33] Test accuracy: 1.0000
[2021-03-14 20:07:33] Score for 1150 labels: 1.0000
[2021-03-14 20:07:33] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:07:33] Found 3850 unlabelled features.
[2021-03-14 20:07:33] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:07:33] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:07:40] Training loss: 0.0024
[2021-03-14 20:07:40] Testing on 5000 data points...
[2021-03-14 20:07:40] Test accuracy: 1.0000
[2021-03-14 20:07:40] Score for 1200 labels: 1.0000
[2021-03-14 20:07:40] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:07:40] Found 3800 unlabelled features.
[2021-03-14 20:07:40] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:07:40] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:07:47] Training loss: 0.0017
[2021-03-14 20:07:47] Testing on 5000 data points...
[2021-03-14 20:07:47] Test accuracy: 1.0000
[2021-03-14 20:07:47] Score for 1250 labels: 1.0000
[2021-03-14 20:07:47] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:07:47] Found 3750 unlabelled features.
[2021-03-14 20:07:47] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:07:47] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:07:55] Training loss: 0.0013
[2021-03-14 20:07:55] Testing on 5000 data points...
[2021-03-14 20:07:55] Test accuracy: 1.0000
[2021-03-14 20:07:55] Score for 1300 labels: 1.0000
[2021-03-14 20:07:55] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:07:55] Found 3700 unlabelled features.
[2021-03-14 20:07:55] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:07:55] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:08:02] Training loss: 0.0010
[2021-03-14 20:08:02] Testing on 5000 data points...
[2021-03-14 20:08:02] Test accuracy: 1.0000
[2021-03-14 20:08:02] Score for 1350 labels: 1.0000
[2021-03-14 20:08:02] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:08:02] Found 3650 unlabelled features.
[2021-03-14 20:08:02] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:08:02] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:08:10] Training loss: 0.0008
[2021-03-14 20:08:10] Testing on 5000 data points...
[2021-03-14 20:08:10] Test accuracy: 1.0000
[2021-03-14 20:08:10] Score for 1400 labels: 1.0000
[2021-03-14 20:08:10] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:08:10] Found 3600 unlabelled features.
[2021-03-14 20:08:10] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:08:10] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:08:18] Training loss: 0.0007
[2021-03-14 20:08:18] Testing on 5000 data points...
[2021-03-14 20:08:18] Test accuracy: 1.0000
[2021-03-14 20:08:18] Score for 1450 labels: 1.0000
[2021-03-14 20:08:18] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:08:18] Found 3550 unlabelled features.
[2021-03-14 20:08:19] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:08:19] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:08:27] Training loss: 0.0005
[2021-03-14 20:08:27] Testing on 5000 data points...
[2021-03-14 20:08:27] Test accuracy: 1.0000
[2021-03-14 20:08:27] Score for 1500 labels: 1.0000
[2021-03-14 20:08:27] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:08:27] Found 3500 unlabelled features.
[2021-03-14 20:08:27] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:08:27] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:08:36] Training loss: 0.0005
[2021-03-14 20:08:36] Testing on 5000 data points...
[2021-03-14 20:08:36] Test accuracy: 1.0000
[2021-03-14 20:08:36] Score for 1550 labels: 1.0000
[2021-03-14 20:08:36] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:08:36] Found 3450 unlabelled features.
[2021-03-14 20:08:36] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:08:36] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:08:45] Training loss: 0.0004
[2021-03-14 20:08:45] Testing on 5000 data points...
[2021-03-14 20:08:45] Test accuracy: 1.0000
[2021-03-14 20:08:45] Score for 1600 labels: 1.0000
[2021-03-14 20:08:45] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:08:45] Found 3400 unlabelled features.
[2021-03-14 20:08:45] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:08:45] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:08:54] Training loss: 0.0003
[2021-03-14 20:08:54] Testing on 5000 data points...
[2021-03-14 20:08:54] Test accuracy: 1.0000
[2021-03-14 20:08:54] Score for 1650 labels: 1.0000
[2021-03-14 20:08:54] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:08:54] Found 3350 unlabelled features.
[2021-03-14 20:08:54] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:08:54] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:09:03] Training loss: 0.0003
[2021-03-14 20:09:03] Testing on 5000 data points...
[2021-03-14 20:09:04] Test accuracy: 1.0000
[2021-03-14 20:09:04] Score for 1700 labels: 1.0000
[2021-03-14 20:09:04] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:09:04] Found 3300 unlabelled features.
[2021-03-14 20:09:04] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:09:04] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:09:13] Training loss: 0.0003
[2021-03-14 20:09:13] Testing on 5000 data points...
[2021-03-14 20:09:13] Test accuracy: 1.0000
[2021-03-14 20:09:13] Score for 1750 labels: 1.0000
[2021-03-14 20:09:13] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:09:13] Found 3250 unlabelled features.
[2021-03-14 20:09:13] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:09:13] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:09:23] Training loss: 0.0002
[2021-03-14 20:09:23] Testing on 5000 data points...
[2021-03-14 20:09:23] Test accuracy: 1.0000
[2021-03-14 20:09:23] Score for 1800 labels: 1.0000
[2021-03-14 20:09:23] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:09:23] Found 3200 unlabelled features.
[2021-03-14 20:09:24] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:09:24] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:09:34] Training loss: 0.0002
[2021-03-14 20:09:34] Testing on 5000 data points...
[2021-03-14 20:09:34] Test accuracy: 1.0000
[2021-03-14 20:09:34] Score for 1850 labels: 1.0000
[2021-03-14 20:09:34] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:09:34] Found 3150 unlabelled features.
[2021-03-14 20:09:34] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:09:34] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:09:45] Training loss: 0.0002
[2021-03-14 20:09:45] Testing on 5000 data points...
[2021-03-14 20:09:45] Test accuracy: 1.0000
[2021-03-14 20:09:45] Score for 1900 labels: 1.0000
[2021-03-14 20:09:45] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:09:45] Found 3100 unlabelled features.
[2021-03-14 20:09:45] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:09:45] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:09:56] Training loss: 0.0002
[2021-03-14 20:09:56] Testing on 5000 data points...
[2021-03-14 20:09:56] Test accuracy: 1.0000
[2021-03-14 20:09:56] Score for 1950 labels: 1.0000
[2021-03-14 20:09:56] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:09:56] Found 3050 unlabelled features.
[2021-03-14 20:09:56] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:09:56] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:10:07] Training loss: 0.0002
[2021-03-14 20:10:07] Testing on 5000 data points...
[2021-03-14 20:10:07] Test accuracy: 1.0000
[2021-03-14 20:10:07] Score for 2000 labels: 1.0000
[2021-03-14 20:10:07] Running: experiment 2
[2021-03-14 20:10:07] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:10:07] mlp: initialized 1482 parameters.
[2021-03-14 20:10:07] Creating trainer with model on device: cuda
[2021-03-14 20:10:07] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:10:12] Training loss: 0.2173
[2021-03-14 20:10:12] Testing on 5000 data points...
[2021-03-14 20:10:13] Test accuracy: 0.9984
[2021-03-14 20:10:13] Score for 1000 labels: 0.9984
[2021-03-14 20:10:13] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:10:13] Found 4000 unlabelled features.
[2021-03-14 20:10:13] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:10:13] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:10:19] Training loss: 0.0185
[2021-03-14 20:10:19] Testing on 5000 data points...
[2021-03-14 20:10:19] Test accuracy: 1.0000
[2021-03-14 20:10:19] Score for 1050 labels: 1.0000
[2021-03-14 20:10:19] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:10:19] Found 3950 unlabelled features.
[2021-03-14 20:10:19] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:10:19] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:10:25] Training loss: 0.0068
[2021-03-14 20:10:25] Testing on 5000 data points...
[2021-03-14 20:10:25] Test accuracy: 1.0000
[2021-03-14 20:10:25] Score for 1100 labels: 1.0000
[2021-03-14 20:10:25] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:10:25] Found 3900 unlabelled features.
[2021-03-14 20:10:25] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:10:25] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:10:32] Training loss: 0.0035
[2021-03-14 20:10:32] Testing on 5000 data points...
[2021-03-14 20:10:32] Test accuracy: 1.0000
[2021-03-14 20:10:32] Score for 1150 labels: 1.0000
[2021-03-14 20:10:32] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:10:32] Found 3850 unlabelled features.
[2021-03-14 20:10:32] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:10:32] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:10:39] Training loss: 0.0023
[2021-03-14 20:10:39] Testing on 5000 data points...
[2021-03-14 20:10:39] Test accuracy: 1.0000
[2021-03-14 20:10:39] Score for 1200 labels: 1.0000
[2021-03-14 20:10:39] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:10:39] Found 3800 unlabelled features.
[2021-03-14 20:10:39] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:10:39] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:10:46] Training loss: 0.0016
[2021-03-14 20:10:46] Testing on 5000 data points...
[2021-03-14 20:10:46] Test accuracy: 1.0000
[2021-03-14 20:10:46] Score for 1250 labels: 1.0000
[2021-03-14 20:10:46] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:10:46] Found 3750 unlabelled features.
[2021-03-14 20:10:46] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:10:46] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:10:53] Training loss: 0.0012
[2021-03-14 20:10:53] Testing on 5000 data points...
[2021-03-14 20:10:53] Test accuracy: 1.0000
[2021-03-14 20:10:53] Score for 1300 labels: 1.0000
[2021-03-14 20:10:53] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:10:53] Found 3700 unlabelled features.
[2021-03-14 20:10:53] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:10:53] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:11:01] Training loss: 0.0010
[2021-03-14 20:11:01] Testing on 5000 data points...
[2021-03-14 20:11:01] Test accuracy: 1.0000
[2021-03-14 20:11:01] Score for 1350 labels: 1.0000
[2021-03-14 20:11:01] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:11:01] Found 3650 unlabelled features.
[2021-03-14 20:11:01] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:11:01] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:11:09] Training loss: 0.0008
[2021-03-14 20:11:09] Testing on 5000 data points...
[2021-03-14 20:11:09] Test accuracy: 1.0000
[2021-03-14 20:11:09] Score for 1400 labels: 1.0000
[2021-03-14 20:11:09] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:11:09] Found 3600 unlabelled features.
[2021-03-14 20:11:09] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:11:09] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:11:17] Training loss: 0.0006
[2021-03-14 20:11:17] Testing on 5000 data points...
[2021-03-14 20:11:17] Test accuracy: 1.0000
[2021-03-14 20:11:17] Score for 1450 labels: 1.0000
[2021-03-14 20:11:17] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:11:17] Found 3550 unlabelled features.
[2021-03-14 20:11:17] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:11:17] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:11:25] Training loss: 0.0005
[2021-03-14 20:11:25] Testing on 5000 data points...
[2021-03-14 20:11:25] Test accuracy: 1.0000
[2021-03-14 20:11:25] Score for 1500 labels: 1.0000
[2021-03-14 20:11:25] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:11:25] Found 3500 unlabelled features.
[2021-03-14 20:11:26] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:11:26] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:11:34] Training loss: 0.0005
[2021-03-14 20:11:34] Testing on 5000 data points...
[2021-03-14 20:11:34] Test accuracy: 1.0000
[2021-03-14 20:11:34] Score for 1550 labels: 1.0000
[2021-03-14 20:11:34] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:11:34] Found 3450 unlabelled features.
[2021-03-14 20:11:34] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:11:34] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:11:43] Training loss: 0.0004
[2021-03-14 20:11:43] Testing on 5000 data points...
[2021-03-14 20:11:43] Test accuracy: 1.0000
[2021-03-14 20:11:43] Score for 1600 labels: 1.0000
[2021-03-14 20:11:43] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:11:43] Found 3400 unlabelled features.
[2021-03-14 20:11:43] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:11:43] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:11:52] Training loss: 0.0003
[2021-03-14 20:11:52] Testing on 5000 data points...
[2021-03-14 20:11:52] Test accuracy: 1.0000
[2021-03-14 20:11:52] Score for 1650 labels: 1.0000
[2021-03-14 20:11:52] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:11:52] Found 3350 unlabelled features.
[2021-03-14 20:11:52] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:11:52] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:12:02] Training loss: 0.0003
[2021-03-14 20:12:02] Testing on 5000 data points...
[2021-03-14 20:12:02] Test accuracy: 1.0000
[2021-03-14 20:12:02] Score for 1700 labels: 1.0000
[2021-03-14 20:12:02] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:12:02] Found 3300 unlabelled features.
[2021-03-14 20:12:02] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:12:02] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:12:12] Training loss: 0.0003
[2021-03-14 20:12:12] Testing on 5000 data points...
[2021-03-14 20:12:12] Test accuracy: 1.0000
[2021-03-14 20:12:12] Score for 1750 labels: 1.0000
[2021-03-14 20:12:12] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:12:12] Found 3250 unlabelled features.
[2021-03-14 20:12:12] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:12:12] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:12:22] Training loss: 0.0002
[2021-03-14 20:12:22] Testing on 5000 data points...
[2021-03-14 20:12:22] Test accuracy: 1.0000
[2021-03-14 20:12:22] Score for 1800 labels: 1.0000
[2021-03-14 20:12:22] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:12:22] Found 3200 unlabelled features.
[2021-03-14 20:12:22] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:12:22] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:12:32] Training loss: 0.0002
[2021-03-14 20:12:32] Testing on 5000 data points...
[2021-03-14 20:12:32] Test accuracy: 1.0000
[2021-03-14 20:12:32] Score for 1850 labels: 1.0000
[2021-03-14 20:12:32] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:12:32] Found 3150 unlabelled features.
[2021-03-14 20:12:32] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:12:32] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:12:43] Training loss: 0.0002
[2021-03-14 20:12:43] Testing on 5000 data points...
[2021-03-14 20:12:43] Test accuracy: 1.0000
[2021-03-14 20:12:43] Score for 1900 labels: 1.0000
[2021-03-14 20:12:43] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:12:43] Found 3100 unlabelled features.
[2021-03-14 20:12:43] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:12:43] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:12:54] Training loss: 0.0002
[2021-03-14 20:12:54] Testing on 5000 data points...
[2021-03-14 20:12:54] Test accuracy: 1.0000
[2021-03-14 20:12:54] Score for 1950 labels: 1.0000
[2021-03-14 20:12:54] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:12:54] Found 3050 unlabelled features.
[2021-03-14 20:12:54] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:12:54] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:13:05] Training loss: 0.0002
[2021-03-14 20:13:05] Testing on 5000 data points...
[2021-03-14 20:13:05] Test accuracy: 1.0000
[2021-03-14 20:13:05] Score for 2000 labels: 1.0000
[2021-03-14 20:13:05] Running: experiment 3
[2021-03-14 20:13:05] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:13:05] mlp: initialized 1482 parameters.
[2021-03-14 20:13:05] Creating trainer with model on device: cuda
[2021-03-14 20:13:05] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:13:10] Training loss: 0.2252
[2021-03-14 20:13:10] Testing on 5000 data points...
[2021-03-14 20:13:11] Test accuracy: 0.9998
[2021-03-14 20:13:11] Score for 1000 labels: 0.9998
[2021-03-14 20:13:11] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:13:11] Found 4000 unlabelled features.
[2021-03-14 20:13:11] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:12] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:13] Scoring random batches...
[2021-03-14 20:13:13] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:13:13] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:13:19] Training loss: 0.0180
[2021-03-14 20:13:19] Testing on 5000 data points...
[2021-03-14 20:13:19] Test accuracy: 1.0000
[2021-03-14 20:13:19] Score for 1050 labels: 1.0000
[2021-03-14 20:13:19] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:13:19] Found 3950 unlabelled features.
[2021-03-14 20:13:19] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:20] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:20] Scoring random batches...
[2021-03-14 20:13:20] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:13:20] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:13:27] Training loss: 0.0060
[2021-03-14 20:13:27] Testing on 5000 data points...
[2021-03-14 20:13:27] Test accuracy: 1.0000
[2021-03-14 20:13:27] Score for 1100 labels: 1.0000
[2021-03-14 20:13:27] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:13:27] Found 3900 unlabelled features.
[2021-03-14 20:13:27] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:28] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:29] Scoring random batches...
[2021-03-14 20:13:29] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:13:29] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:13:35] Training loss: 0.0032
[2021-03-14 20:13:35] Testing on 5000 data points...
[2021-03-14 20:13:35] Test accuracy: 1.0000
[2021-03-14 20:13:35] Score for 1150 labels: 1.0000
[2021-03-14 20:13:35] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:13:35] Found 3850 unlabelled features.
[2021-03-14 20:13:35] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:36] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:37] Scoring random batches...
[2021-03-14 20:13:37] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:13:37] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:13:44] Training loss: 0.0020
[2021-03-14 20:13:44] Testing on 5000 data points...
[2021-03-14 20:13:44] Test accuracy: 1.0000
[2021-03-14 20:13:44] Score for 1200 labels: 1.0000
[2021-03-14 20:13:44] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:13:44] Found 3800 unlabelled features.
[2021-03-14 20:13:44] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:45] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:45] Scoring random batches...
[2021-03-14 20:13:45] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:13:45] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:13:52] Training loss: 0.0015
[2021-03-14 20:13:52] Testing on 5000 data points...
[2021-03-14 20:13:52] Test accuracy: 1.0000
[2021-03-14 20:13:52] Score for 1250 labels: 1.0000
[2021-03-14 20:13:52] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:13:52] Found 3750 unlabelled features.
[2021-03-14 20:13:53] Training GMM (k=64) on labelled features...
[2021-03-14 20:13:54] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:13:55] Scoring random batches...
[2021-03-14 20:13:55] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:13:55] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:14:02] Training loss: 0.0011
[2021-03-14 20:14:02] Testing on 5000 data points...
[2021-03-14 20:14:02] Test accuracy: 1.0000
[2021-03-14 20:14:02] Score for 1300 labels: 1.0000
[2021-03-14 20:14:02] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:14:02] Found 3700 unlabelled features.
[2021-03-14 20:14:02] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:03] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:04] Scoring random batches...
[2021-03-14 20:14:04] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:14:04] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:14:12] Training loss: 0.0009
[2021-03-14 20:14:12] Testing on 5000 data points...
[2021-03-14 20:14:12] Test accuracy: 1.0000
[2021-03-14 20:14:12] Score for 1350 labels: 1.0000
[2021-03-14 20:14:12] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:14:12] Found 3650 unlabelled features.
[2021-03-14 20:14:12] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:13] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:13] Scoring random batches...
[2021-03-14 20:14:13] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:14:13] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:14:21] Training loss: 0.0007
[2021-03-14 20:14:21] Testing on 5000 data points...
[2021-03-14 20:14:21] Test accuracy: 1.0000
[2021-03-14 20:14:21] Score for 1400 labels: 1.0000
[2021-03-14 20:14:21] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:14:21] Found 3600 unlabelled features.
[2021-03-14 20:14:21] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:22] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:23] Scoring random batches...
[2021-03-14 20:14:23] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:14:23] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:14:31] Training loss: 0.0006
[2021-03-14 20:14:31] Testing on 5000 data points...
[2021-03-14 20:14:31] Test accuracy: 1.0000
[2021-03-14 20:14:31] Score for 1450 labels: 1.0000
[2021-03-14 20:14:31] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:14:31] Found 3550 unlabelled features.
[2021-03-14 20:14:32] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:33] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:34] Scoring random batches...
[2021-03-14 20:14:34] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:14:34] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:14:42] Training loss: 0.0005
[2021-03-14 20:14:42] Testing on 5000 data points...
[2021-03-14 20:14:42] Test accuracy: 1.0000
[2021-03-14 20:14:42] Score for 1500 labels: 1.0000
[2021-03-14 20:14:42] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:14:42] Found 3500 unlabelled features.
[2021-03-14 20:14:43] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:44] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:45] Scoring random batches...
[2021-03-14 20:14:45] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:14:45] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:14:53] Training loss: 0.0004
[2021-03-14 20:14:53] Testing on 5000 data points...
[2021-03-14 20:14:53] Test accuracy: 1.0000
[2021-03-14 20:14:53] Score for 1550 labels: 1.0000
[2021-03-14 20:14:53] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:14:53] Found 3450 unlabelled features.
[2021-03-14 20:14:53] Training GMM (k=64) on labelled features...
[2021-03-14 20:14:54] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:14:55] Scoring random batches...
[2021-03-14 20:14:55] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:14:55] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:15:04] Training loss: 0.0004
[2021-03-14 20:15:04] Testing on 5000 data points...
[2021-03-14 20:15:04] Test accuracy: 1.0000
[2021-03-14 20:15:04] Score for 1600 labels: 1.0000
[2021-03-14 20:15:04] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:15:04] Found 3400 unlabelled features.
[2021-03-14 20:15:05] Training GMM (k=64) on labelled features...
[2021-03-14 20:15:06] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:15:07] Scoring random batches...
[2021-03-14 20:15:07] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:15:07] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:15:16] Training loss: 0.0003
[2021-03-14 20:15:16] Testing on 5000 data points...
[2021-03-14 20:15:16] Test accuracy: 1.0000
[2021-03-14 20:15:16] Score for 1650 labels: 1.0000
[2021-03-14 20:15:16] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:15:16] Found 3350 unlabelled features.
[2021-03-14 20:15:16] Training GMM (k=64) on labelled features...
[2021-03-14 20:15:18] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:15:19] Scoring random batches...
[2021-03-14 20:15:19] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:15:19] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:15:28] Training loss: 0.0003
[2021-03-14 20:15:28] Testing on 5000 data points...
[2021-03-14 20:15:28] Test accuracy: 1.0000
[2021-03-14 20:15:28] Score for 1700 labels: 1.0000
[2021-03-14 20:15:28] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:15:28] Found 3300 unlabelled features.
[2021-03-14 20:15:28] Training GMM (k=64) on labelled features...
[2021-03-14 20:15:30] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:15:31] Scoring random batches...
[2021-03-14 20:15:31] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:15:31] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:15:41] Training loss: 0.0003
[2021-03-14 20:15:41] Testing on 5000 data points...
[2021-03-14 20:15:41] Test accuracy: 1.0000
[2021-03-14 20:15:41] Score for 1750 labels: 1.0000
[2021-03-14 20:15:41] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:15:41] Found 3250 unlabelled features.
[2021-03-14 20:15:41] Training GMM (k=64) on labelled features...
[2021-03-14 20:15:43] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:15:43] Scoring random batches...
[2021-03-14 20:15:43] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:15:43] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:15:53] Training loss: 0.0002
[2021-03-14 20:15:53] Testing on 5000 data points...
[2021-03-14 20:15:53] Test accuracy: 1.0000
[2021-03-14 20:15:53] Score for 1800 labels: 1.0000
[2021-03-14 20:15:53] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:15:53] Found 3200 unlabelled features.
[2021-03-14 20:15:54] Training GMM (k=64) on labelled features...
[2021-03-14 20:15:55] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:15:57] Scoring random batches...
[2021-03-14 20:15:57] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:15:57] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:16:07] Training loss: 0.0002
[2021-03-14 20:16:07] Testing on 5000 data points...
[2021-03-14 20:16:07] Test accuracy: 1.0000
[2021-03-14 20:16:07] Score for 1850 labels: 1.0000
[2021-03-14 20:16:07] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:16:07] Found 3150 unlabelled features.
[2021-03-14 20:16:07] Training GMM (k=64) on labelled features...
[2021-03-14 20:16:08] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:16:09] Scoring random batches...
[2021-03-14 20:16:09] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:16:09] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:16:19] Training loss: 0.0002
[2021-03-14 20:16:19] Testing on 5000 data points...
[2021-03-14 20:16:19] Test accuracy: 1.0000
[2021-03-14 20:16:19] Score for 1900 labels: 1.0000
[2021-03-14 20:16:19] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:16:19] Found 3100 unlabelled features.
[2021-03-14 20:16:19] Training GMM (k=64) on labelled features...
[2021-03-14 20:16:21] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:16:23] Scoring random batches...
[2021-03-14 20:16:23] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:16:23] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:16:33] Training loss: 0.0002
[2021-03-14 20:16:33] Testing on 5000 data points...
[2021-03-14 20:16:33] Test accuracy: 1.0000
[2021-03-14 20:16:33] Score for 1950 labels: 1.0000
[2021-03-14 20:16:33] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:16:33] Found 3050 unlabelled features.
[2021-03-14 20:16:33] Training GMM (k=64) on labelled features...
[2021-03-14 20:16:35] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:16:36] Scoring random batches...
[2021-03-14 20:16:36] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:16:36] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:16:47] Training loss: 0.0002
[2021-03-14 20:16:47] Testing on 5000 data points...
[2021-03-14 20:16:47] Test accuracy: 1.0000
[2021-03-14 20:16:47] Score for 2000 labels: 1.0000
[2021-03-14 20:16:47] Experiment repeat 2/2
[2021-03-14 20:16:47] Randomly labelled 1000/5000
[2021-03-14 20:16:47] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:16:47] Running: experiment 0
[2021-03-14 20:16:47] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:16:47] mlp: initialized 1482 parameters.
[2021-03-14 20:16:47] Creating trainer with model on device: cuda
[2021-03-14 20:16:47] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:16:53] Training loss: 0.1935
[2021-03-14 20:16:53] Testing on 5000 data points...
[2021-03-14 20:16:53] Test accuracy: 0.9990
[2021-03-14 20:16:53] Score for 1000 labels: 0.9990
[2021-03-14 20:16:53] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:16:53] Found 4000 unlabelled features.
[2021-03-14 20:16:53] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:16:53] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:16:59] Training loss: 0.0150
[2021-03-14 20:16:59] Testing on 5000 data points...
[2021-03-14 20:16:59] Test accuracy: 1.0000
[2021-03-14 20:16:59] Score for 1050 labels: 1.0000
[2021-03-14 20:16:59] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:16:59] Found 3950 unlabelled features.
[2021-03-14 20:16:59] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:16:59] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:17:05] Training loss: 0.0054
[2021-03-14 20:17:05] Testing on 5000 data points...
[2021-03-14 20:17:05] Test accuracy: 1.0000
[2021-03-14 20:17:05] Score for 1100 labels: 1.0000
[2021-03-14 20:17:05] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:17:05] Found 3900 unlabelled features.
[2021-03-14 20:17:05] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:17:05] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:17:12] Training loss: 0.0030
[2021-03-14 20:17:12] Testing on 5000 data points...
[2021-03-14 20:17:12] Test accuracy: 1.0000
[2021-03-14 20:17:12] Score for 1150 labels: 1.0000
[2021-03-14 20:17:12] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:17:12] Found 3850 unlabelled features.
[2021-03-14 20:17:12] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:17:12] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:17:19] Training loss: 0.0020
[2021-03-14 20:17:19] Testing on 5000 data points...
[2021-03-14 20:17:19] Test accuracy: 1.0000
[2021-03-14 20:17:19] Score for 1200 labels: 1.0000
[2021-03-14 20:17:19] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:17:19] Found 3800 unlabelled features.
[2021-03-14 20:17:19] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:17:19] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:17:26] Training loss: 0.0015
[2021-03-14 20:17:26] Testing on 5000 data points...
[2021-03-14 20:17:26] Test accuracy: 1.0000
[2021-03-14 20:17:26] Score for 1250 labels: 1.0000
[2021-03-14 20:17:26] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:17:26] Found 3750 unlabelled features.
[2021-03-14 20:17:26] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:17:26] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:17:33] Training loss: 0.0011
[2021-03-14 20:17:33] Testing on 5000 data points...
[2021-03-14 20:17:33] Test accuracy: 1.0000
[2021-03-14 20:17:33] Score for 1300 labels: 1.0000
[2021-03-14 20:17:33] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:17:33] Found 3700 unlabelled features.
[2021-03-14 20:17:33] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:17:33] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:17:41] Training loss: 0.0009
[2021-03-14 20:17:41] Testing on 5000 data points...
[2021-03-14 20:17:41] Test accuracy: 1.0000
[2021-03-14 20:17:41] Score for 1350 labels: 1.0000
[2021-03-14 20:17:41] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:17:41] Found 3650 unlabelled features.
[2021-03-14 20:17:41] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:17:41] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:17:49] Training loss: 0.0008
[2021-03-14 20:17:49] Testing on 5000 data points...
[2021-03-14 20:17:49] Test accuracy: 1.0000
[2021-03-14 20:17:49] Score for 1400 labels: 1.0000
[2021-03-14 20:17:49] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:17:49] Found 3600 unlabelled features.
[2021-03-14 20:17:49] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:17:49] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:17:57] Training loss: 0.0006
[2021-03-14 20:17:57] Testing on 5000 data points...
[2021-03-14 20:17:57] Test accuracy: 1.0000
[2021-03-14 20:17:57] Score for 1450 labels: 1.0000
[2021-03-14 20:17:57] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:17:57] Found 3550 unlabelled features.
[2021-03-14 20:17:57] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:17:57] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:18:06] Training loss: 0.0005
[2021-03-14 20:18:06] Testing on 5000 data points...
[2021-03-14 20:18:06] Test accuracy: 1.0000
[2021-03-14 20:18:06] Score for 1500 labels: 1.0000
[2021-03-14 20:18:06] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:18:06] Found 3500 unlabelled features.
[2021-03-14 20:18:06] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:18:06] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:18:14] Training loss: 0.0005
[2021-03-14 20:18:14] Testing on 5000 data points...
[2021-03-14 20:18:15] Test accuracy: 1.0000
[2021-03-14 20:18:15] Score for 1550 labels: 1.0000
[2021-03-14 20:18:15] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:18:15] Found 3450 unlabelled features.
[2021-03-14 20:18:15] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:18:15] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:18:23] Training loss: 0.0004
[2021-03-14 20:18:23] Testing on 5000 data points...
[2021-03-14 20:18:24] Test accuracy: 1.0000
[2021-03-14 20:18:24] Score for 1600 labels: 1.0000
[2021-03-14 20:18:24] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:18:24] Found 3400 unlabelled features.
[2021-03-14 20:18:24] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:18:24] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:18:33] Training loss: 0.0004
[2021-03-14 20:18:33] Testing on 5000 data points...
[2021-03-14 20:18:33] Test accuracy: 1.0000
[2021-03-14 20:18:33] Score for 1650 labels: 1.0000
[2021-03-14 20:18:33] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:18:33] Found 3350 unlabelled features.
[2021-03-14 20:18:33] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:18:33] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:18:42] Training loss: 0.0003
[2021-03-14 20:18:42] Testing on 5000 data points...
[2021-03-14 20:18:42] Test accuracy: 1.0000
[2021-03-14 20:18:42] Score for 1700 labels: 1.0000
[2021-03-14 20:18:42] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:18:42] Found 3300 unlabelled features.
[2021-03-14 20:18:42] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:18:42] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:18:52] Training loss: 0.0003
[2021-03-14 20:18:52] Testing on 5000 data points...
[2021-03-14 20:18:52] Test accuracy: 1.0000
[2021-03-14 20:18:52] Score for 1750 labels: 1.0000
[2021-03-14 20:18:52] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:18:52] Found 3250 unlabelled features.
[2021-03-14 20:18:52] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:18:52] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:19:02] Training loss: 0.0003
[2021-03-14 20:19:02] Testing on 5000 data points...
[2021-03-14 20:19:02] Test accuracy: 1.0000
[2021-03-14 20:19:02] Score for 1800 labels: 1.0000
[2021-03-14 20:19:02] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:19:02] Found 3200 unlabelled features.
[2021-03-14 20:19:02] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:19:02] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:19:12] Training loss: 0.0002
[2021-03-14 20:19:12] Testing on 5000 data points...
[2021-03-14 20:19:12] Test accuracy: 1.0000
[2021-03-14 20:19:12] Score for 1850 labels: 1.0000
[2021-03-14 20:19:12] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:19:12] Found 3150 unlabelled features.
[2021-03-14 20:19:12] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:19:12] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:19:23] Training loss: 0.0002
[2021-03-14 20:19:23] Testing on 5000 data points...
[2021-03-14 20:19:23] Test accuracy: 1.0000
[2021-03-14 20:19:23] Score for 1900 labels: 1.0000
[2021-03-14 20:19:23] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:19:23] Found 3100 unlabelled features.
[2021-03-14 20:19:23] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:19:23] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:19:33] Training loss: 0.0002
[2021-03-14 20:19:33] Testing on 5000 data points...
[2021-03-14 20:19:34] Test accuracy: 1.0000
[2021-03-14 20:19:34] Score for 1950 labels: 1.0000
[2021-03-14 20:19:34] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:19:34] Found 3050 unlabelled features.
[2021-03-14 20:19:34] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:19:34] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:19:44] Training loss: 0.0002
[2021-03-14 20:19:44] Testing on 5000 data points...
[2021-03-14 20:19:45] Test accuracy: 1.0000
[2021-03-14 20:19:45] Score for 2000 labels: 1.0000
[2021-03-14 20:19:45] Running: experiment 1
[2021-03-14 20:19:45] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:19:45] mlp: initialized 1482 parameters.
[2021-03-14 20:19:45] Creating trainer with model on device: cuda
[2021-03-14 20:19:45] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:19:50] Training loss: 0.2560
[2021-03-14 20:19:50] Testing on 5000 data points...
[2021-03-14 20:19:50] Test accuracy: 0.9988
[2021-03-14 20:19:50] Score for 1000 labels: 0.9988
[2021-03-14 20:19:50] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:19:50] Found 4000 unlabelled features.
[2021-03-14 20:19:50] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:19:50] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:19:56] Training loss: 0.0257
[2021-03-14 20:19:56] Testing on 5000 data points...
[2021-03-14 20:19:56] Test accuracy: 1.0000
[2021-03-14 20:19:56] Score for 1050 labels: 1.0000
[2021-03-14 20:19:56] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:19:56] Found 3950 unlabelled features.
[2021-03-14 20:19:56] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:19:56] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:20:03] Training loss: 0.0076
[2021-03-14 20:20:03] Testing on 5000 data points...
[2021-03-14 20:20:03] Test accuracy: 1.0000
[2021-03-14 20:20:03] Score for 1100 labels: 1.0000
[2021-03-14 20:20:03] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:20:03] Found 3900 unlabelled features.
[2021-03-14 20:20:03] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:20:03] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:20:09] Training loss: 0.0039
[2021-03-14 20:20:09] Testing on 5000 data points...
[2021-03-14 20:20:09] Test accuracy: 1.0000
[2021-03-14 20:20:09] Score for 1150 labels: 1.0000
[2021-03-14 20:20:09] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:20:09] Found 3850 unlabelled features.
[2021-03-14 20:20:09] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:20:09] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:20:16] Training loss: 0.0025
[2021-03-14 20:20:16] Testing on 5000 data points...
[2021-03-14 20:20:16] Test accuracy: 1.0000
[2021-03-14 20:20:16] Score for 1200 labels: 1.0000
[2021-03-14 20:20:16] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:20:16] Found 3800 unlabelled features.
[2021-03-14 20:20:16] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:20:16] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:20:23] Training loss: 0.0017
[2021-03-14 20:20:23] Testing on 5000 data points...
[2021-03-14 20:20:23] Test accuracy: 1.0000
[2021-03-14 20:20:23] Score for 1250 labels: 1.0000
[2021-03-14 20:20:23] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:20:23] Found 3750 unlabelled features.
[2021-03-14 20:20:23] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:20:23] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:20:31] Training loss: 0.0013
[2021-03-14 20:20:31] Testing on 5000 data points...
[2021-03-14 20:20:31] Test accuracy: 1.0000
[2021-03-14 20:20:31] Score for 1300 labels: 1.0000
[2021-03-14 20:20:31] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:20:31] Found 3700 unlabelled features.
[2021-03-14 20:20:31] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:20:31] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:20:38] Training loss: 0.0010
[2021-03-14 20:20:38] Testing on 5000 data points...
[2021-03-14 20:20:38] Test accuracy: 1.0000
[2021-03-14 20:20:38] Score for 1350 labels: 1.0000
[2021-03-14 20:20:38] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:20:38] Found 3650 unlabelled features.
[2021-03-14 20:20:38] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:20:38] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:20:46] Training loss: 0.0008
[2021-03-14 20:20:46] Testing on 5000 data points...
[2021-03-14 20:20:46] Test accuracy: 1.0000
[2021-03-14 20:20:46] Score for 1400 labels: 1.0000
[2021-03-14 20:20:46] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:20:46] Found 3600 unlabelled features.
[2021-03-14 20:20:46] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:20:46] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:20:54] Training loss: 0.0007
[2021-03-14 20:20:54] Testing on 5000 data points...
[2021-03-14 20:20:54] Test accuracy: 1.0000
[2021-03-14 20:20:54] Score for 1450 labels: 1.0000
[2021-03-14 20:20:54] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:20:54] Found 3550 unlabelled features.
[2021-03-14 20:20:55] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:20:55] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:21:03] Training loss: 0.0005
[2021-03-14 20:21:03] Testing on 5000 data points...
[2021-03-14 20:21:03] Test accuracy: 1.0000
[2021-03-14 20:21:03] Score for 1500 labels: 1.0000
[2021-03-14 20:21:03] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:21:03] Found 3500 unlabelled features.
[2021-03-14 20:21:03] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:21:03] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:21:12] Training loss: 0.0005
[2021-03-14 20:21:12] Testing on 5000 data points...
[2021-03-14 20:21:12] Test accuracy: 1.0000
[2021-03-14 20:21:12] Score for 1550 labels: 1.0000
[2021-03-14 20:21:12] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:21:12] Found 3450 unlabelled features.
[2021-03-14 20:21:12] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:21:12] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:21:21] Training loss: 0.0004
[2021-03-14 20:21:21] Testing on 5000 data points...
[2021-03-14 20:21:21] Test accuracy: 1.0000
[2021-03-14 20:21:21] Score for 1600 labels: 1.0000
[2021-03-14 20:21:21] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:21:21] Found 3400 unlabelled features.
[2021-03-14 20:21:21] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:21:21] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:21:30] Training loss: 0.0003
[2021-03-14 20:21:30] Testing on 5000 data points...
[2021-03-14 20:21:30] Test accuracy: 1.0000
[2021-03-14 20:21:30] Score for 1650 labels: 1.0000
[2021-03-14 20:21:30] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:21:30] Found 3350 unlabelled features.
[2021-03-14 20:21:30] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:21:30] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:21:39] Training loss: 0.0003
[2021-03-14 20:21:39] Testing on 5000 data points...
[2021-03-14 20:21:39] Test accuracy: 1.0000
[2021-03-14 20:21:39] Score for 1700 labels: 1.0000
[2021-03-14 20:21:39] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:21:39] Found 3300 unlabelled features.
[2021-03-14 20:21:40] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:21:40] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:21:49] Training loss: 0.0003
[2021-03-14 20:21:49] Testing on 5000 data points...
[2021-03-14 20:21:49] Test accuracy: 1.0000
[2021-03-14 20:21:49] Score for 1750 labels: 1.0000
[2021-03-14 20:21:49] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:21:49] Found 3250 unlabelled features.
[2021-03-14 20:21:49] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:21:49] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:21:59] Training loss: 0.0002
[2021-03-14 20:21:59] Testing on 5000 data points...
[2021-03-14 20:21:59] Test accuracy: 1.0000
[2021-03-14 20:21:59] Score for 1800 labels: 1.0000
[2021-03-14 20:21:59] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:21:59] Found 3200 unlabelled features.
[2021-03-14 20:21:59] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:21:59] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:22:10] Training loss: 0.0002
[2021-03-14 20:22:10] Testing on 5000 data points...
[2021-03-14 20:22:10] Test accuracy: 1.0000
[2021-03-14 20:22:10] Score for 1850 labels: 1.0000
[2021-03-14 20:22:10] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:22:10] Found 3150 unlabelled features.
[2021-03-14 20:22:10] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:22:10] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:22:20] Training loss: 0.0002
[2021-03-14 20:22:20] Testing on 5000 data points...
[2021-03-14 20:22:20] Test accuracy: 1.0000
[2021-03-14 20:22:20] Score for 1900 labels: 1.0000
[2021-03-14 20:22:20] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:22:20] Found 3100 unlabelled features.
[2021-03-14 20:22:20] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:22:20] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:22:31] Training loss: 0.0002
[2021-03-14 20:22:31] Testing on 5000 data points...
[2021-03-14 20:22:31] Test accuracy: 1.0000
[2021-03-14 20:22:31] Score for 1950 labels: 1.0000
[2021-03-14 20:22:31] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:22:31] Found 3050 unlabelled features.
[2021-03-14 20:22:31] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:22:31] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:22:42] Training loss: 0.0002
[2021-03-14 20:22:42] Testing on 5000 data points...
[2021-03-14 20:22:42] Test accuracy: 1.0000
[2021-03-14 20:22:42] Score for 2000 labels: 1.0000
[2021-03-14 20:22:42] Running: experiment 2
[2021-03-14 20:22:42] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:22:42] mlp: initialized 1482 parameters.
[2021-03-14 20:22:42] Creating trainer with model on device: cuda
[2021-03-14 20:22:42] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:22:48] Training loss: 0.2425
[2021-03-14 20:22:48] Testing on 5000 data points...
[2021-03-14 20:22:48] Test accuracy: 0.9802
[2021-03-14 20:22:48] Score for 1000 labels: 0.9802
[2021-03-14 20:22:48] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:22:48] Found 4000 unlabelled features.
[2021-03-14 20:22:48] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:22:48] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:22:54] Training loss: 0.0303
[2021-03-14 20:22:54] Testing on 5000 data points...
[2021-03-14 20:22:54] Test accuracy: 0.9994
[2021-03-14 20:22:54] Score for 1050 labels: 0.9994
[2021-03-14 20:22:54] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:22:54] Found 3950 unlabelled features.
[2021-03-14 20:22:54] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:22:54] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:23:00] Training loss: 0.0116
[2021-03-14 20:23:00] Testing on 5000 data points...
[2021-03-14 20:23:00] Test accuracy: 1.0000
[2021-03-14 20:23:00] Score for 1100 labels: 1.0000
[2021-03-14 20:23:00] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:23:00] Found 3900 unlabelled features.
[2021-03-14 20:23:00] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:23:00] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:23:07] Training loss: 0.0049
[2021-03-14 20:23:07] Testing on 5000 data points...
[2021-03-14 20:23:07] Test accuracy: 1.0000
[2021-03-14 20:23:07] Score for 1150 labels: 1.0000
[2021-03-14 20:23:07] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:23:07] Found 3850 unlabelled features.
[2021-03-14 20:23:07] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:23:07] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:23:14] Training loss: 0.0028
[2021-03-14 20:23:14] Testing on 5000 data points...
[2021-03-14 20:23:14] Test accuracy: 1.0000
[2021-03-14 20:23:14] Score for 1200 labels: 1.0000
[2021-03-14 20:23:14] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:23:14] Found 3800 unlabelled features.
[2021-03-14 20:23:14] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:23:14] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:23:21] Training loss: 0.0019
[2021-03-14 20:23:21] Testing on 5000 data points...
[2021-03-14 20:23:21] Test accuracy: 1.0000
[2021-03-14 20:23:21] Score for 1250 labels: 1.0000
[2021-03-14 20:23:21] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:23:21] Found 3750 unlabelled features.
[2021-03-14 20:23:21] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:23:21] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:23:29] Training loss: 0.0014
[2021-03-14 20:23:29] Testing on 5000 data points...
[2021-03-14 20:23:29] Test accuracy: 1.0000
[2021-03-14 20:23:29] Score for 1300 labels: 1.0000
[2021-03-14 20:23:29] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:23:29] Found 3700 unlabelled features.
[2021-03-14 20:23:29] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:23:29] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:23:36] Training loss: 0.0011
[2021-03-14 20:23:36] Testing on 5000 data points...
[2021-03-14 20:23:36] Test accuracy: 1.0000
[2021-03-14 20:23:36] Score for 1350 labels: 1.0000
[2021-03-14 20:23:36] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:23:36] Found 3650 unlabelled features.
[2021-03-14 20:23:36] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:23:36] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:23:44] Training loss: 0.0009
[2021-03-14 20:23:44] Testing on 5000 data points...
[2021-03-14 20:23:44] Test accuracy: 1.0000
[2021-03-14 20:23:44] Score for 1400 labels: 1.0000
[2021-03-14 20:23:44] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:23:44] Found 3600 unlabelled features.
[2021-03-14 20:23:44] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:23:44] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:23:52] Training loss: 0.0007
[2021-03-14 20:23:52] Testing on 5000 data points...
[2021-03-14 20:23:52] Test accuracy: 1.0000
[2021-03-14 20:23:52] Score for 1450 labels: 1.0000
[2021-03-14 20:23:52] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:23:52] Found 3550 unlabelled features.
[2021-03-14 20:23:52] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:23:52] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:24:01] Training loss: 0.0006
[2021-03-14 20:24:01] Testing on 5000 data points...
[2021-03-14 20:24:01] Test accuracy: 1.0000
[2021-03-14 20:24:01] Score for 1500 labels: 1.0000
[2021-03-14 20:24:01] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:24:01] Found 3500 unlabelled features.
[2021-03-14 20:24:01] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:24:01] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:24:09] Training loss: 0.0005
[2021-03-14 20:24:09] Testing on 5000 data points...
[2021-03-14 20:24:09] Test accuracy: 1.0000
[2021-03-14 20:24:09] Score for 1550 labels: 1.0000
[2021-03-14 20:24:09] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:24:09] Found 3450 unlabelled features.
[2021-03-14 20:24:10] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:24:10] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:24:18] Training loss: 0.0004
[2021-03-14 20:24:18] Testing on 5000 data points...
[2021-03-14 20:24:18] Test accuracy: 1.0000
[2021-03-14 20:24:18] Score for 1600 labels: 1.0000
[2021-03-14 20:24:18] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:24:18] Found 3400 unlabelled features.
[2021-03-14 20:24:18] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:24:18] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:24:28] Training loss: 0.0004
[2021-03-14 20:24:28] Testing on 5000 data points...
[2021-03-14 20:24:28] Test accuracy: 1.0000
[2021-03-14 20:24:28] Score for 1650 labels: 1.0000
[2021-03-14 20:24:28] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:24:28] Found 3350 unlabelled features.
[2021-03-14 20:24:28] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:24:28] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:24:37] Training loss: 0.0003
[2021-03-14 20:24:37] Testing on 5000 data points...
[2021-03-14 20:24:37] Test accuracy: 1.0000
[2021-03-14 20:24:37] Score for 1700 labels: 1.0000
[2021-03-14 20:24:37] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:24:37] Found 3300 unlabelled features.
[2021-03-14 20:24:37] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:24:37] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:24:47] Training loss: 0.0003
[2021-03-14 20:24:47] Testing on 5000 data points...
[2021-03-14 20:24:47] Test accuracy: 1.0000
[2021-03-14 20:24:47] Score for 1750 labels: 1.0000
[2021-03-14 20:24:47] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:24:47] Found 3250 unlabelled features.
[2021-03-14 20:24:47] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:24:47] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:24:57] Training loss: 0.0002
[2021-03-14 20:24:57] Testing on 5000 data points...
[2021-03-14 20:24:57] Test accuracy: 1.0000
[2021-03-14 20:24:57] Score for 1800 labels: 1.0000
[2021-03-14 20:24:57] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:24:57] Found 3200 unlabelled features.
[2021-03-14 20:24:57] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:24:57] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:25:08] Training loss: 0.0002
[2021-03-14 20:25:08] Testing on 5000 data points...
[2021-03-14 20:25:08] Test accuracy: 1.0000
[2021-03-14 20:25:08] Score for 1850 labels: 1.0000
[2021-03-14 20:25:08] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:25:08] Found 3150 unlabelled features.
[2021-03-14 20:25:08] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:25:08] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:25:18] Training loss: 0.0002
[2021-03-14 20:25:18] Testing on 5000 data points...
[2021-03-14 20:25:18] Test accuracy: 1.0000
[2021-03-14 20:25:18] Score for 1900 labels: 1.0000
[2021-03-14 20:25:18] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:25:18] Found 3100 unlabelled features.
[2021-03-14 20:25:19] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:25:19] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:25:29] Training loss: 0.0002
[2021-03-14 20:25:29] Testing on 5000 data points...
[2021-03-14 20:25:29] Test accuracy: 1.0000
[2021-03-14 20:25:29] Score for 1950 labels: 1.0000
[2021-03-14 20:25:29] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:25:29] Found 3050 unlabelled features.
[2021-03-14 20:25:29] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:25:29] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:25:40] Training loss: 0.0002
[2021-03-14 20:25:40] Testing on 5000 data points...
[2021-03-14 20:25:41] Test accuracy: 1.0000
[2021-03-14 20:25:41] Score for 2000 labels: 1.0000
[2021-03-14 20:25:41] Running: experiment 3
[2021-03-14 20:25:41] Showing labelled: True (1000/5000 visible)
[2021-03-14 20:25:41] mlp: initialized 1482 parameters.
[2021-03-14 20:25:41] Creating trainer with model on device: cuda
[2021-03-14 20:25:41] Training mlp across 1000 data points in blobsthin...
[2021-03-14 20:25:46] Training loss: 0.2150
[2021-03-14 20:25:46] Testing on 5000 data points...
[2021-03-14 20:25:46] Test accuracy: 0.9990
[2021-03-14 20:25:46] Score for 1000 labels: 0.9990
[2021-03-14 20:25:46] Showing labelled: False (4000/5000 visible)
[2021-03-14 20:25:46] Found 4000 unlabelled features.
[2021-03-14 20:25:46] Training GMM (k=64) on labelled features...
[2021-03-14 20:25:47] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:25:48] Scoring random batches...
[2021-03-14 20:25:48] Showing labelled: True (1050/5000 visible)
[2021-03-14 20:25:48] Training mlp across 1050 data points in blobsthin...
[2021-03-14 20:25:54] Training loss: 0.0166
[2021-03-14 20:25:54] Testing on 5000 data points...
[2021-03-14 20:25:54] Test accuracy: 1.0000
[2021-03-14 20:25:54] Score for 1050 labels: 1.0000
[2021-03-14 20:25:54] Showing labelled: False (3950/5000 visible)
[2021-03-14 20:25:54] Found 3950 unlabelled features.
[2021-03-14 20:25:54] Training GMM (k=64) on labelled features...
[2021-03-14 20:25:55] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:25:56] Scoring random batches...
[2021-03-14 20:25:56] Showing labelled: True (1100/5000 visible)
[2021-03-14 20:25:56] Training mlp across 1100 data points in blobsthin...
[2021-03-14 20:26:03] Training loss: 0.0056
[2021-03-14 20:26:03] Testing on 5000 data points...
[2021-03-14 20:26:03] Test accuracy: 1.0000
[2021-03-14 20:26:03] Score for 1100 labels: 1.0000
[2021-03-14 20:26:03] Showing labelled: False (3900/5000 visible)
[2021-03-14 20:26:03] Found 3900 unlabelled features.
[2021-03-14 20:26:03] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:04] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:05] Scoring random batches...
[2021-03-14 20:26:05] Showing labelled: True (1150/5000 visible)
[2021-03-14 20:26:05] Training mlp across 1150 data points in blobsthin...
[2021-03-14 20:26:11] Training loss: 0.0030
[2021-03-14 20:26:11] Testing on 5000 data points...
[2021-03-14 20:26:11] Test accuracy: 1.0000
[2021-03-14 20:26:11] Score for 1150 labels: 1.0000
[2021-03-14 20:26:11] Showing labelled: False (3850/5000 visible)
[2021-03-14 20:26:11] Found 3850 unlabelled features.
[2021-03-14 20:26:11] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:12] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:13] Scoring random batches...
[2021-03-14 20:26:13] Showing labelled: True (1200/5000 visible)
[2021-03-14 20:26:13] Training mlp across 1200 data points in blobsthin...
[2021-03-14 20:26:20] Training loss: 0.0019
[2021-03-14 20:26:20] Testing on 5000 data points...
[2021-03-14 20:26:20] Test accuracy: 1.0000
[2021-03-14 20:26:20] Score for 1200 labels: 1.0000
[2021-03-14 20:26:20] Showing labelled: False (3800/5000 visible)
[2021-03-14 20:26:20] Found 3800 unlabelled features.
[2021-03-14 20:26:20] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:21] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:22] Scoring random batches...
[2021-03-14 20:26:22] Showing labelled: True (1250/5000 visible)
[2021-03-14 20:26:22] Training mlp across 1250 data points in blobsthin...
[2021-03-14 20:26:29] Training loss: 0.0014
[2021-03-14 20:26:29] Testing on 5000 data points...
[2021-03-14 20:26:29] Test accuracy: 1.0000
[2021-03-14 20:26:29] Score for 1250 labels: 1.0000
[2021-03-14 20:26:29] Showing labelled: False (3750/5000 visible)
[2021-03-14 20:26:29] Found 3750 unlabelled features.
[2021-03-14 20:26:29] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:30] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:31] Scoring random batches...
[2021-03-14 20:26:31] Showing labelled: True (1300/5000 visible)
[2021-03-14 20:26:31] Training mlp across 1300 data points in blobsthin...
[2021-03-14 20:26:38] Training loss: 0.0011
[2021-03-14 20:26:38] Testing on 5000 data points...
[2021-03-14 20:26:38] Test accuracy: 1.0000
[2021-03-14 20:26:38] Score for 1300 labels: 1.0000
[2021-03-14 20:26:38] Showing labelled: False (3700/5000 visible)
[2021-03-14 20:26:38] Found 3700 unlabelled features.
[2021-03-14 20:26:38] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:40] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:40] Scoring random batches...
[2021-03-14 20:26:40] Showing labelled: True (1350/5000 visible)
[2021-03-14 20:26:40] Training mlp across 1350 data points in blobsthin...
[2021-03-14 20:26:48] Training loss: 0.0008
[2021-03-14 20:26:48] Testing on 5000 data points...
[2021-03-14 20:26:48] Test accuracy: 1.0000
[2021-03-14 20:26:48] Score for 1350 labels: 1.0000
[2021-03-14 20:26:48] Showing labelled: False (3650/5000 visible)
[2021-03-14 20:26:48] Found 3650 unlabelled features.
[2021-03-14 20:26:48] Training GMM (k=64) on labelled features...
[2021-03-14 20:26:50] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:26:51] Scoring random batches...
[2021-03-14 20:26:51] Showing labelled: True (1400/5000 visible)
[2021-03-14 20:26:51] Training mlp across 1400 data points in blobsthin...
[2021-03-14 20:26:59] Training loss: 0.0007
[2021-03-14 20:26:59] Testing on 5000 data points...
[2021-03-14 20:26:59] Test accuracy: 1.0000
[2021-03-14 20:26:59] Score for 1400 labels: 1.0000
[2021-03-14 20:26:59] Showing labelled: False (3600/5000 visible)
[2021-03-14 20:26:59] Found 3600 unlabelled features.
[2021-03-14 20:26:59] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:01] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:02] Scoring random batches...
[2021-03-14 20:27:02] Showing labelled: True (1450/5000 visible)
[2021-03-14 20:27:02] Training mlp across 1450 data points in blobsthin...
[2021-03-14 20:27:10] Training loss: 0.0006
[2021-03-14 20:27:10] Testing on 5000 data points...
[2021-03-14 20:27:10] Test accuracy: 1.0000
[2021-03-14 20:27:10] Score for 1450 labels: 1.0000
[2021-03-14 20:27:10] Showing labelled: False (3550/5000 visible)
[2021-03-14 20:27:10] Found 3550 unlabelled features.
[2021-03-14 20:27:10] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:12] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:13] Scoring random batches...
[2021-03-14 20:27:13] Showing labelled: True (1500/5000 visible)
[2021-03-14 20:27:13] Training mlp across 1500 data points in blobsthin...
[2021-03-14 20:27:21] Training loss: 0.0005
[2021-03-14 20:27:21] Testing on 5000 data points...
[2021-03-14 20:27:21] Test accuracy: 1.0000
[2021-03-14 20:27:21] Score for 1500 labels: 1.0000
[2021-03-14 20:27:21] Showing labelled: False (3500/5000 visible)
[2021-03-14 20:27:21] Found 3500 unlabelled features.
[2021-03-14 20:27:21] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:23] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:24] Scoring random batches...
[2021-03-14 20:27:24] Showing labelled: True (1550/5000 visible)
[2021-03-14 20:27:24] Training mlp across 1550 data points in blobsthin...
[2021-03-14 20:27:32] Training loss: 0.0004
[2021-03-14 20:27:32] Testing on 5000 data points...
[2021-03-14 20:27:32] Test accuracy: 1.0000
[2021-03-14 20:27:32] Score for 1550 labels: 1.0000
[2021-03-14 20:27:32] Showing labelled: False (3450/5000 visible)
[2021-03-14 20:27:32] Found 3450 unlabelled features.
[2021-03-14 20:27:32] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:34] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:34] Scoring random batches...
[2021-03-14 20:27:34] Showing labelled: True (1600/5000 visible)
[2021-03-14 20:27:34] Training mlp across 1600 data points in blobsthin...
[2021-03-14 20:27:43] Training loss: 0.0004
[2021-03-14 20:27:43] Testing on 5000 data points...
[2021-03-14 20:27:43] Test accuracy: 1.0000
[2021-03-14 20:27:43] Score for 1600 labels: 1.0000
[2021-03-14 20:27:43] Showing labelled: False (3400/5000 visible)
[2021-03-14 20:27:43] Found 3400 unlabelled features.
[2021-03-14 20:27:43] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:44] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:45] Scoring random batches...
[2021-03-14 20:27:45] Showing labelled: True (1650/5000 visible)
[2021-03-14 20:27:45] Training mlp across 1650 data points in blobsthin...
[2021-03-14 20:27:54] Training loss: 0.0003
[2021-03-14 20:27:54] Testing on 5000 data points...
[2021-03-14 20:27:54] Test accuracy: 1.0000
[2021-03-14 20:27:54] Score for 1650 labels: 1.0000
[2021-03-14 20:27:54] Showing labelled: False (3350/5000 visible)
[2021-03-14 20:27:54] Found 3350 unlabelled features.
[2021-03-14 20:27:54] Training GMM (k=64) on labelled features...
[2021-03-14 20:27:56] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:27:57] Scoring random batches...
[2021-03-14 20:27:57] Showing labelled: True (1700/5000 visible)
[2021-03-14 20:27:57] Training mlp across 1700 data points in blobsthin...
[2021-03-14 20:28:06] Training loss: 0.0003
[2021-03-14 20:28:06] Testing on 5000 data points...
[2021-03-14 20:28:06] Test accuracy: 1.0000
[2021-03-14 20:28:06] Score for 1700 labels: 1.0000
[2021-03-14 20:28:06] Showing labelled: False (3300/5000 visible)
[2021-03-14 20:28:06] Found 3300 unlabelled features.
[2021-03-14 20:28:06] Training GMM (k=64) on labelled features...
[2021-03-14 20:28:07] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:28:08] Scoring random batches...
[2021-03-14 20:28:08] Showing labelled: True (1750/5000 visible)
[2021-03-14 20:28:08] Training mlp across 1750 data points in blobsthin...
[2021-03-14 20:28:18] Training loss: 0.0003
[2021-03-14 20:28:18] Testing on 5000 data points...
[2021-03-14 20:28:18] Test accuracy: 1.0000
[2021-03-14 20:28:18] Score for 1750 labels: 1.0000
[2021-03-14 20:28:18] Showing labelled: False (3250/5000 visible)
[2021-03-14 20:28:18] Found 3250 unlabelled features.
[2021-03-14 20:28:18] Training GMM (k=64) on labelled features...
[2021-03-14 20:28:20] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:28:21] Scoring random batches...
[2021-03-14 20:28:21] Showing labelled: True (1800/5000 visible)
[2021-03-14 20:28:21] Training mlp across 1800 data points in blobsthin...
[2021-03-14 20:28:31] Training loss: 0.0002
[2021-03-14 20:28:31] Testing on 5000 data points...
[2021-03-14 20:28:31] Test accuracy: 1.0000
[2021-03-14 20:28:31] Score for 1800 labels: 1.0000
[2021-03-14 20:28:31] Showing labelled: False (3200/5000 visible)
[2021-03-14 20:28:31] Found 3200 unlabelled features.
[2021-03-14 20:28:31] Training GMM (k=64) on labelled features...
[2021-03-14 20:28:33] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:28:34] Scoring random batches...
[2021-03-14 20:28:34] Showing labelled: True (1850/5000 visible)
[2021-03-14 20:28:34] Training mlp across 1850 data points in blobsthin...
[2021-03-14 20:28:44] Training loss: 0.0002
[2021-03-14 20:28:44] Testing on 5000 data points...
[2021-03-14 20:28:44] Test accuracy: 1.0000
[2021-03-14 20:28:44] Score for 1850 labels: 1.0000
[2021-03-14 20:28:44] Showing labelled: False (3150/5000 visible)
[2021-03-14 20:28:44] Found 3150 unlabelled features.
[2021-03-14 20:28:44] Training GMM (k=64) on labelled features...
[2021-03-14 20:28:46] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:28:47] Scoring random batches...
[2021-03-14 20:28:47] Showing labelled: True (1900/5000 visible)
[2021-03-14 20:28:47] Training mlp across 1900 data points in blobsthin...
[2021-03-14 20:28:58] Training loss: 0.0002
[2021-03-14 20:28:58] Testing on 5000 data points...
[2021-03-14 20:28:58] Test accuracy: 1.0000
[2021-03-14 20:28:58] Score for 1900 labels: 1.0000
[2021-03-14 20:28:58] Showing labelled: False (3100/5000 visible)
[2021-03-14 20:28:58] Found 3100 unlabelled features.
[2021-03-14 20:28:58] Training GMM (k=64) on labelled features...
[2021-03-14 20:28:59] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:29:00] Scoring random batches...
[2021-03-14 20:29:00] Showing labelled: True (1950/5000 visible)
[2021-03-14 20:29:00] Training mlp across 1950 data points in blobsthin...
[2021-03-14 20:29:11] Training loss: 0.0002
[2021-03-14 20:29:11] Testing on 5000 data points...
[2021-03-14 20:29:11] Test accuracy: 1.0000
[2021-03-14 20:29:11] Score for 1950 labels: 1.0000
[2021-03-14 20:29:11] Showing labelled: False (3050/5000 visible)
[2021-03-14 20:29:11] Found 3050 unlabelled features.
[2021-03-14 20:29:11] Training GMM (k=64) on labelled features...
[2021-03-14 20:29:12] Training GMM (k=64) on unlabelled features...
[2021-03-14 20:29:13] Scoring random batches...
[2021-03-14 20:29:13] Showing labelled: True (2000/5000 visible)
[2021-03-14 20:29:13] Training mlp across 2000 data points in blobsthin...
[2021-03-14 20:29:24] Training loss: 0.0002
[2021-03-14 20:29:24] Testing on 5000 data points...
[2021-03-14 20:29:24] Test accuracy: 1.0000
[2021-03-14 20:29:24] Score for 2000 labels: 1.0000
[2021-03-14 20:29:24] Updated results: ../results/basic_positive_moreinitdata/results.json
