[2021-03-15 02:02:25] Seeded: 5
[2021-03-15 02:02:25] Created experiment 0:
[2021-03-15 02:02:25]  - Model: mlp
[2021-03-15 02:02:25]  - Acquisition function: p-coreset
[2021-03-15 02:02:25] Loading blobsthin test set...
[2021-03-15 02:02:25] Generated 5000 blobs:
[2021-03-15 02:02:25] Class 0: 200
[2021-03-15 02:02:25] Class 1: 300
[2021-03-15 02:02:25] Class 2: 1000
[2021-03-15 02:02:25] Class 3: 100
[2021-03-15 02:02:25] Class 4: 50
[2021-03-15 02:02:25] Class 5: 200
[2021-03-15 02:02:25] Class 6: 400
[2021-03-15 02:02:25] Class 7: 1800
[2021-03-15 02:02:25] Class 8: 50
[2021-03-15 02:02:25] Class 9: 900
[2021-03-15 02:02:26] Saved figure to: ../data/blobsthin_data.png
[2021-03-15 02:02:26] Generated 5000 test points.
[2021-03-15 02:02:26] Saved figure to: ../data/blobsthin_test.png
[2021-03-15 02:02:26] Experiment repeat 1/5
[2021-03-15 02:02:26] Randomly labelled 50/5000
[2021-03-15 02:02:26] Showing labelled: True (50/5000 visible)
[2021-03-15 02:02:26] Running: experiment 0
[2021-03-15 02:02:26] Showing labelled: True (50/5000 visible)
[2021-03-15 02:02:26] mlp: initialized 1482 parameters.
[2021-03-15 02:02:26] Creating trainer with model on device: cuda
[2021-03-15 02:02:31] Training mlp across 50 data points in blobsthin...
[2021-03-15 02:02:31] Training loss: 1.5627
[2021-03-15 02:02:31] Testing on 5000 data points...
[2021-03-15 02:02:31] Test accuracy: 0.5000
[2021-03-15 02:02:31] Score for 50 labels: 0.5000
[2021-03-15 02:02:31] Showing labelled: False (4950/5000 visible)
[2021-03-15 02:02:31] Found 4950 unlabelled features.
[2021-03-15 02:02:31] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:31] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:32] Scoring random batches...
[2021-03-15 02:02:32] Showing labelled: True (70/5000 visible)
[2021-03-15 02:02:32] Training mlp across 70 data points in blobsthin...
[2021-03-15 02:02:32] Training loss: 0.7098
[2021-03-15 02:02:32] Testing on 5000 data points...
[2021-03-15 02:02:32] Test accuracy: 0.7328
[2021-03-15 02:02:32] Score for 70 labels: 0.7328
[2021-03-15 02:02:32] Showing labelled: False (4930/5000 visible)
[2021-03-15 02:02:32] Found 4930 unlabelled features.
[2021-03-15 02:02:32] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:32] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:33] Scoring random batches...
[2021-03-15 02:02:33] Showing labelled: True (90/5000 visible)
[2021-03-15 02:02:33] Training mlp across 90 data points in blobsthin...
[2021-03-15 02:02:33] Training loss: 0.3173
[2021-03-15 02:02:33] Testing on 5000 data points...
[2021-03-15 02:02:33] Test accuracy: 0.7932
[2021-03-15 02:02:33] Score for 90 labels: 0.7932
[2021-03-15 02:02:33] Showing labelled: False (4910/5000 visible)
[2021-03-15 02:02:33] Found 4910 unlabelled features.
[2021-03-15 02:02:33] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:34] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:34] Scoring random batches...
[2021-03-15 02:02:34] Showing labelled: True (110/5000 visible)
[2021-03-15 02:02:34] Training mlp across 110 data points in blobsthin...
[2021-03-15 02:02:35] Training loss: 0.1789
[2021-03-15 02:02:35] Testing on 5000 data points...
[2021-03-15 02:02:35] Test accuracy: 0.7986
[2021-03-15 02:02:35] Score for 110 labels: 0.7986
[2021-03-15 02:02:35] Showing labelled: False (4890/5000 visible)
[2021-03-15 02:02:35] Found 4890 unlabelled features.
[2021-03-15 02:02:35] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:35] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:36] Scoring random batches...
[2021-03-15 02:02:36] Showing labelled: True (130/5000 visible)
[2021-03-15 02:02:36] Training mlp across 130 data points in blobsthin...
[2021-03-15 02:02:37] Training loss: 0.1418
[2021-03-15 02:02:37] Testing on 5000 data points...
[2021-03-15 02:02:37] Test accuracy: 0.8430
[2021-03-15 02:02:37] Score for 130 labels: 0.8430
[2021-03-15 02:02:37] Showing labelled: False (4870/5000 visible)
[2021-03-15 02:02:37] Found 4870 unlabelled features.
[2021-03-15 02:02:37] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:37] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:37] Scoring random batches...
[2021-03-15 02:02:37] Showing labelled: True (150/5000 visible)
[2021-03-15 02:02:37] Training mlp across 150 data points in blobsthin...
[2021-03-15 02:02:38] Training loss: 0.0912
[2021-03-15 02:02:38] Testing on 5000 data points...
[2021-03-15 02:02:38] Test accuracy: 0.8662
[2021-03-15 02:02:38] Score for 150 labels: 0.8662
[2021-03-15 02:02:38] Showing labelled: False (4850/5000 visible)
[2021-03-15 02:02:38] Found 4850 unlabelled features.
[2021-03-15 02:02:38] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:38] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:39] Scoring random batches...
[2021-03-15 02:02:39] Showing labelled: True (170/5000 visible)
[2021-03-15 02:02:39] Training mlp across 170 data points in blobsthin...
[2021-03-15 02:02:40] Training loss: 0.0627
[2021-03-15 02:02:40] Testing on 5000 data points...
[2021-03-15 02:02:40] Test accuracy: 0.9854
[2021-03-15 02:02:40] Score for 170 labels: 0.9854
[2021-03-15 02:02:40] Showing labelled: False (4830/5000 visible)
[2021-03-15 02:02:40] Found 4830 unlabelled features.
[2021-03-15 02:02:40] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:40] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:41] Scoring random batches...
[2021-03-15 02:02:41] Showing labelled: True (190/5000 visible)
[2021-03-15 02:02:41] Training mlp across 190 data points in blobsthin...
[2021-03-15 02:02:42] Training loss: 0.0386
[2021-03-15 02:02:42] Testing on 5000 data points...
[2021-03-15 02:02:42] Test accuracy: 0.9878
[2021-03-15 02:02:42] Score for 190 labels: 0.9878
[2021-03-15 02:02:42] Showing labelled: False (4810/5000 visible)
[2021-03-15 02:02:42] Found 4810 unlabelled features.
[2021-03-15 02:02:42] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:42] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:42] Scoring random batches...
[2021-03-15 02:02:42] Showing labelled: True (210/5000 visible)
[2021-03-15 02:02:42] Training mlp across 210 data points in blobsthin...
[2021-03-15 02:02:44] Training loss: 0.0297
[2021-03-15 02:02:44] Testing on 5000 data points...
[2021-03-15 02:02:44] Test accuracy: 0.9936
[2021-03-15 02:02:44] Score for 210 labels: 0.9936
[2021-03-15 02:02:44] Showing labelled: False (4790/5000 visible)
[2021-03-15 02:02:44] Found 4790 unlabelled features.
[2021-03-15 02:02:44] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:44] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:45] Scoring random batches...
[2021-03-15 02:02:45] Showing labelled: True (230/5000 visible)
[2021-03-15 02:02:45] Training mlp across 230 data points in blobsthin...
[2021-03-15 02:02:46] Training loss: 0.0202
[2021-03-15 02:02:46] Testing on 5000 data points...
[2021-03-15 02:02:46] Test accuracy: 0.9956
[2021-03-15 02:02:46] Score for 230 labels: 0.9956
[2021-03-15 02:02:46] Showing labelled: False (4770/5000 visible)
[2021-03-15 02:02:46] Found 4770 unlabelled features.
[2021-03-15 02:02:46] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:46] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:47] Scoring random batches...
[2021-03-15 02:02:47] Showing labelled: True (250/5000 visible)
[2021-03-15 02:02:47] Training mlp across 250 data points in blobsthin...
[2021-03-15 02:02:48] Training loss: 0.0168
[2021-03-15 02:02:48] Testing on 5000 data points...
[2021-03-15 02:02:48] Test accuracy: 0.9966
[2021-03-15 02:02:48] Score for 250 labels: 0.9966
[2021-03-15 02:02:48] Showing labelled: False (4750/5000 visible)
[2021-03-15 02:02:48] Found 4750 unlabelled features.
[2021-03-15 02:02:48] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:48] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:49] Scoring random batches...
[2021-03-15 02:02:49] Showing labelled: True (270/5000 visible)
[2021-03-15 02:02:49] Training mlp across 270 data points in blobsthin...
[2021-03-15 02:02:51] Training loss: 0.0127
[2021-03-15 02:02:51] Testing on 5000 data points...
[2021-03-15 02:02:51] Test accuracy: 0.9968
[2021-03-15 02:02:51] Score for 270 labels: 0.9968
[2021-03-15 02:02:51] Showing labelled: False (4730/5000 visible)
[2021-03-15 02:02:51] Found 4730 unlabelled features.
[2021-03-15 02:02:51] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:51] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:51] Scoring random batches...
[2021-03-15 02:02:51] Showing labelled: True (290/5000 visible)
[2021-03-15 02:02:51] Training mlp across 290 data points in blobsthin...
[2021-03-15 02:02:53] Training loss: 0.0096
[2021-03-15 02:02:53] Testing on 5000 data points...
[2021-03-15 02:02:53] Test accuracy: 0.9972
[2021-03-15 02:02:53] Score for 290 labels: 0.9972
[2021-03-15 02:02:53] Showing labelled: False (4710/5000 visible)
[2021-03-15 02:02:53] Found 4710 unlabelled features.
[2021-03-15 02:02:53] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:53] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:54] Scoring random batches...
[2021-03-15 02:02:54] Showing labelled: True (310/5000 visible)
[2021-03-15 02:02:54] Training mlp across 310 data points in blobsthin...
[2021-03-15 02:02:56] Training loss: 0.0082
[2021-03-15 02:02:56] Testing on 5000 data points...
[2021-03-15 02:02:56] Test accuracy: 0.9974
[2021-03-15 02:02:56] Score for 310 labels: 0.9974
[2021-03-15 02:02:56] Experiment repeat 2/5
[2021-03-15 02:02:56] Randomly labelled 50/5000
[2021-03-15 02:02:56] Showing labelled: True (50/5000 visible)
[2021-03-15 02:02:56] Running: experiment 0
[2021-03-15 02:02:56] Showing labelled: True (50/5000 visible)
[2021-03-15 02:02:56] mlp: initialized 1482 parameters.
[2021-03-15 02:02:56] Creating trainer with model on device: cuda
[2021-03-15 02:02:56] Training mlp across 50 data points in blobsthin...
[2021-03-15 02:02:56] Training loss: 1.1320
[2021-03-15 02:02:56] Testing on 5000 data points...
[2021-03-15 02:02:56] Test accuracy: 0.5916
[2021-03-15 02:02:56] Score for 50 labels: 0.5916
[2021-03-15 02:02:56] Showing labelled: False (4950/5000 visible)
[2021-03-15 02:02:56] Found 4950 unlabelled features.
[2021-03-15 02:02:56] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:56] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:56] Scoring random batches...
[2021-03-15 02:02:56] Showing labelled: True (70/5000 visible)
[2021-03-15 02:02:56] Training mlp across 70 data points in blobsthin...
[2021-03-15 02:02:57] Training loss: 0.4240
[2021-03-15 02:02:57] Testing on 5000 data points...
[2021-03-15 02:02:57] Test accuracy: 0.6000
[2021-03-15 02:02:57] Score for 70 labels: 0.6000
[2021-03-15 02:02:57] Showing labelled: False (4930/5000 visible)
[2021-03-15 02:02:57] Found 4930 unlabelled features.
[2021-03-15 02:02:57] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:57] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:58] Scoring random batches...
[2021-03-15 02:02:58] Showing labelled: True (90/5000 visible)
[2021-03-15 02:02:58] Training mlp across 90 data points in blobsthin...
[2021-03-15 02:02:58] Training loss: 0.3683
[2021-03-15 02:02:58] Testing on 5000 data points...
[2021-03-15 02:02:58] Test accuracy: 0.6002
[2021-03-15 02:02:58] Score for 90 labels: 0.6002
[2021-03-15 02:02:58] Showing labelled: False (4910/5000 visible)
[2021-03-15 02:02:58] Found 4910 unlabelled features.
[2021-03-15 02:02:58] Training GMM (k=32) on labelled features...
[2021-03-15 02:02:58] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:02:59] Scoring random batches...
[2021-03-15 02:02:59] Showing labelled: True (110/5000 visible)
[2021-03-15 02:02:59] Training mlp across 110 data points in blobsthin...
[2021-03-15 02:03:00] Training loss: 0.2101
[2021-03-15 02:03:00] Testing on 5000 data points...
[2021-03-15 02:03:00] Test accuracy: 0.8810
[2021-03-15 02:03:00] Score for 110 labels: 0.8810
[2021-03-15 02:03:00] Showing labelled: False (4890/5000 visible)
[2021-03-15 02:03:00] Found 4890 unlabelled features.
[2021-03-15 02:03:00] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:00] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:00] Scoring random batches...
[2021-03-15 02:03:00] Showing labelled: True (130/5000 visible)
[2021-03-15 02:03:00] Training mlp across 130 data points in blobsthin...
[2021-03-15 02:03:01] Training loss: 0.1325
[2021-03-15 02:03:01] Testing on 5000 data points...
[2021-03-15 02:03:01] Test accuracy: 0.8954
[2021-03-15 02:03:01] Score for 130 labels: 0.8954
[2021-03-15 02:03:01] Showing labelled: False (4870/5000 visible)
[2021-03-15 02:03:01] Found 4870 unlabelled features.
[2021-03-15 02:03:01] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:01] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:02] Scoring random batches...
[2021-03-15 02:03:02] Showing labelled: True (150/5000 visible)
[2021-03-15 02:03:02] Training mlp across 150 data points in blobsthin...
[2021-03-15 02:03:03] Training loss: 0.0997
[2021-03-15 02:03:03] Testing on 5000 data points...
[2021-03-15 02:03:03] Test accuracy: 0.9718
[2021-03-15 02:03:03] Score for 150 labels: 0.9718
[2021-03-15 02:03:03] Showing labelled: False (4850/5000 visible)
[2021-03-15 02:03:03] Found 4850 unlabelled features.
[2021-03-15 02:03:03] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:03] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:03] Scoring random batches...
[2021-03-15 02:03:03] Showing labelled: True (170/5000 visible)
[2021-03-15 02:03:03] Training mlp across 170 data points in blobsthin...
[2021-03-15 02:03:04] Training loss: 0.0708
[2021-03-15 02:03:04] Testing on 5000 data points...
[2021-03-15 02:03:05] Test accuracy: 0.9862
[2021-03-15 02:03:05] Score for 170 labels: 0.9862
[2021-03-15 02:03:05] Showing labelled: False (4830/5000 visible)
[2021-03-15 02:03:05] Found 4830 unlabelled features.
[2021-03-15 02:03:05] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:05] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:05] Scoring random batches...
[2021-03-15 02:03:05] Showing labelled: True (190/5000 visible)
[2021-03-15 02:03:05] Training mlp across 190 data points in blobsthin...
[2021-03-15 02:03:06] Training loss: 0.0484
[2021-03-15 02:03:06] Testing on 5000 data points...
[2021-03-15 02:03:06] Test accuracy: 0.9930
[2021-03-15 02:03:06] Score for 190 labels: 0.9930
[2021-03-15 02:03:06] Showing labelled: False (4810/5000 visible)
[2021-03-15 02:03:06] Found 4810 unlabelled features.
[2021-03-15 02:03:06] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:06] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:07] Scoring random batches...
[2021-03-15 02:03:07] Showing labelled: True (210/5000 visible)
[2021-03-15 02:03:07] Training mlp across 210 data points in blobsthin...
[2021-03-15 02:03:08] Training loss: 0.0348
[2021-03-15 02:03:08] Testing on 5000 data points...
[2021-03-15 02:03:08] Test accuracy: 0.9946
[2021-03-15 02:03:08] Score for 210 labels: 0.9946
[2021-03-15 02:03:08] Showing labelled: False (4790/5000 visible)
[2021-03-15 02:03:08] Found 4790 unlabelled features.
[2021-03-15 02:03:08] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:08] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:09] Scoring random batches...
[2021-03-15 02:03:09] Showing labelled: True (230/5000 visible)
[2021-03-15 02:03:09] Training mlp across 230 data points in blobsthin...
[2021-03-15 02:03:10] Training loss: 0.0270
[2021-03-15 02:03:10] Testing on 5000 data points...
[2021-03-15 02:03:10] Test accuracy: 0.9952
[2021-03-15 02:03:10] Score for 230 labels: 0.9952
[2021-03-15 02:03:10] Showing labelled: False (4770/5000 visible)
[2021-03-15 02:03:10] Found 4770 unlabelled features.
[2021-03-15 02:03:10] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:11] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:11] Scoring random batches...
[2021-03-15 02:03:11] Showing labelled: True (250/5000 visible)
[2021-03-15 02:03:11] Training mlp across 250 data points in blobsthin...
[2021-03-15 02:03:12] Training loss: 0.0204
[2021-03-15 02:03:12] Testing on 5000 data points...
[2021-03-15 02:03:12] Test accuracy: 0.9958
[2021-03-15 02:03:12] Score for 250 labels: 0.9958
[2021-03-15 02:03:12] Showing labelled: False (4750/5000 visible)
[2021-03-15 02:03:12] Found 4750 unlabelled features.
[2021-03-15 02:03:13] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:13] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:13] Scoring random batches...
[2021-03-15 02:03:13] Showing labelled: True (270/5000 visible)
[2021-03-15 02:03:13] Training mlp across 270 data points in blobsthin...
[2021-03-15 02:03:15] Training loss: 0.0156
[2021-03-15 02:03:15] Testing on 5000 data points...
[2021-03-15 02:03:15] Test accuracy: 0.9964
[2021-03-15 02:03:15] Score for 270 labels: 0.9964
[2021-03-15 02:03:15] Showing labelled: False (4730/5000 visible)
[2021-03-15 02:03:15] Found 4730 unlabelled features.
[2021-03-15 02:03:15] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:15] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:16] Scoring random batches...
[2021-03-15 02:03:16] Showing labelled: True (290/5000 visible)
[2021-03-15 02:03:16] Training mlp across 290 data points in blobsthin...
[2021-03-15 02:03:17] Training loss: 0.0122
[2021-03-15 02:03:17] Testing on 5000 data points...
[2021-03-15 02:03:17] Test accuracy: 0.9964
[2021-03-15 02:03:17] Score for 290 labels: 0.9964
[2021-03-15 02:03:17] Showing labelled: False (4710/5000 visible)
[2021-03-15 02:03:17] Found 4710 unlabelled features.
[2021-03-15 02:03:18] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:18] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:18] Scoring random batches...
[2021-03-15 02:03:18] Showing labelled: True (310/5000 visible)
[2021-03-15 02:03:18] Training mlp across 310 data points in blobsthin...
[2021-03-15 02:03:20] Training loss: 0.0100
[2021-03-15 02:03:20] Testing on 5000 data points...
[2021-03-15 02:03:20] Test accuracy: 0.9964
[2021-03-15 02:03:20] Score for 310 labels: 0.9964
[2021-03-15 02:03:20] Experiment repeat 3/5
[2021-03-15 02:03:20] Randomly labelled 50/5000
[2021-03-15 02:03:20] Showing labelled: True (50/5000 visible)
[2021-03-15 02:03:20] Running: experiment 0
[2021-03-15 02:03:20] Showing labelled: True (50/5000 visible)
[2021-03-15 02:03:20] mlp: initialized 1482 parameters.
[2021-03-15 02:03:20] Creating trainer with model on device: cuda
[2021-03-15 02:03:20] Training mlp across 50 data points in blobsthin...
[2021-03-15 02:03:21] Training loss: 1.1408
[2021-03-15 02:03:21] Testing on 5000 data points...
[2021-03-15 02:03:21] Test accuracy: 0.3744
[2021-03-15 02:03:21] Score for 50 labels: 0.3744
[2021-03-15 02:03:21] Showing labelled: False (4950/5000 visible)
[2021-03-15 02:03:21] Found 4950 unlabelled features.
[2021-03-15 02:03:21] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:21] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:21] Scoring random batches...
[2021-03-15 02:03:21] Showing labelled: True (70/5000 visible)
[2021-03-15 02:03:21] Training mlp across 70 data points in blobsthin...
[2021-03-15 02:03:22] Training loss: 0.5289
[2021-03-15 02:03:22] Testing on 5000 data points...
[2021-03-15 02:03:22] Test accuracy: 0.7016
[2021-03-15 02:03:22] Score for 70 labels: 0.7016
[2021-03-15 02:03:22] Showing labelled: False (4930/5000 visible)
[2021-03-15 02:03:22] Found 4930 unlabelled features.
[2021-03-15 02:03:22] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:22] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:22] Scoring random batches...
[2021-03-15 02:03:22] Showing labelled: True (90/5000 visible)
[2021-03-15 02:03:22] Training mlp across 90 data points in blobsthin...
[2021-03-15 02:03:23] Training loss: 0.2755
[2021-03-15 02:03:23] Testing on 5000 data points...
[2021-03-15 02:03:23] Test accuracy: 0.7974
[2021-03-15 02:03:23] Score for 90 labels: 0.7974
[2021-03-15 02:03:23] Showing labelled: False (4910/5000 visible)
[2021-03-15 02:03:23] Found 4910 unlabelled features.
[2021-03-15 02:03:23] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:23] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:23] Scoring random batches...
[2021-03-15 02:03:23] Showing labelled: True (110/5000 visible)
[2021-03-15 02:03:23] Training mlp across 110 data points in blobsthin...
[2021-03-15 02:03:24] Training loss: 0.1582
[2021-03-15 02:03:24] Testing on 5000 data points...
[2021-03-15 02:03:24] Test accuracy: 0.8358
[2021-03-15 02:03:24] Score for 110 labels: 0.8358
[2021-03-15 02:03:24] Showing labelled: False (4890/5000 visible)
[2021-03-15 02:03:24] Found 4890 unlabelled features.
[2021-03-15 02:03:24] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:25] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:25] Scoring random batches...
[2021-03-15 02:03:25] Showing labelled: True (130/5000 visible)
[2021-03-15 02:03:25] Training mlp across 130 data points in blobsthin...
[2021-03-15 02:03:26] Training loss: 0.0963
[2021-03-15 02:03:26] Testing on 5000 data points...
[2021-03-15 02:03:26] Test accuracy: 0.8210
[2021-03-15 02:03:26] Score for 130 labels: 0.8210
[2021-03-15 02:03:26] Showing labelled: False (4870/5000 visible)
[2021-03-15 02:03:26] Found 4870 unlabelled features.
[2021-03-15 02:03:26] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:26] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:26] Scoring random batches...
[2021-03-15 02:03:26] Showing labelled: True (150/5000 visible)
[2021-03-15 02:03:26] Training mlp across 150 data points in blobsthin...
[2021-03-15 02:03:27] Training loss: 0.1005
[2021-03-15 02:03:27] Testing on 5000 data points...
[2021-03-15 02:03:27] Test accuracy: 0.8772
[2021-03-15 02:03:27] Score for 150 labels: 0.8772
[2021-03-15 02:03:27] Showing labelled: False (4850/5000 visible)
[2021-03-15 02:03:27] Found 4850 unlabelled features.
[2021-03-15 02:03:27] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:28] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:28] Scoring random batches...
[2021-03-15 02:03:28] Showing labelled: True (170/5000 visible)
[2021-03-15 02:03:28] Training mlp across 170 data points in blobsthin...
[2021-03-15 02:03:29] Training loss: 0.0566
[2021-03-15 02:03:29] Testing on 5000 data points...
[2021-03-15 02:03:29] Test accuracy: 0.9900
[2021-03-15 02:03:29] Score for 170 labels: 0.9900
[2021-03-15 02:03:29] Showing labelled: False (4830/5000 visible)
[2021-03-15 02:03:29] Found 4830 unlabelled features.
[2021-03-15 02:03:29] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:29] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:30] Scoring random batches...
[2021-03-15 02:03:30] Showing labelled: True (190/5000 visible)
[2021-03-15 02:03:30] Training mlp across 190 data points in blobsthin...
[2021-03-15 02:03:31] Training loss: 0.0336
[2021-03-15 02:03:31] Testing on 5000 data points...
[2021-03-15 02:03:31] Test accuracy: 0.9922
[2021-03-15 02:03:31] Score for 190 labels: 0.9922
[2021-03-15 02:03:31] Showing labelled: False (4810/5000 visible)
[2021-03-15 02:03:31] Found 4810 unlabelled features.
[2021-03-15 02:03:31] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:31] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:31] Scoring random batches...
[2021-03-15 02:03:31] Showing labelled: True (210/5000 visible)
[2021-03-15 02:03:31] Training mlp across 210 data points in blobsthin...
[2021-03-15 02:03:33] Training loss: 0.0242
[2021-03-15 02:03:33] Testing on 5000 data points...
[2021-03-15 02:03:33] Test accuracy: 0.9946
[2021-03-15 02:03:33] Score for 210 labels: 0.9946
[2021-03-15 02:03:33] Showing labelled: False (4790/5000 visible)
[2021-03-15 02:03:33] Found 4790 unlabelled features.
[2021-03-15 02:03:33] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:33] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:33] Scoring random batches...
[2021-03-15 02:03:33] Showing labelled: True (230/5000 visible)
[2021-03-15 02:03:33] Training mlp across 230 data points in blobsthin...
[2021-03-15 02:03:35] Training loss: 0.0180
[2021-03-15 02:03:35] Testing on 5000 data points...
[2021-03-15 02:03:35] Test accuracy: 0.9958
[2021-03-15 02:03:35] Score for 230 labels: 0.9958
[2021-03-15 02:03:35] Showing labelled: False (4770/5000 visible)
[2021-03-15 02:03:35] Found 4770 unlabelled features.
[2021-03-15 02:03:35] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:35] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:36] Scoring random batches...
[2021-03-15 02:03:36] Showing labelled: True (250/5000 visible)
[2021-03-15 02:03:36] Training mlp across 250 data points in blobsthin...
[2021-03-15 02:03:37] Training loss: 0.0158
[2021-03-15 02:03:37] Testing on 5000 data points...
[2021-03-15 02:03:37] Test accuracy: 0.9964
[2021-03-15 02:03:37] Score for 250 labels: 0.9964
[2021-03-15 02:03:37] Showing labelled: False (4750/5000 visible)
[2021-03-15 02:03:37] Found 4750 unlabelled features.
[2021-03-15 02:03:37] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:37] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:38] Scoring random batches...
[2021-03-15 02:03:38] Showing labelled: True (270/5000 visible)
[2021-03-15 02:03:38] Training mlp across 270 data points in blobsthin...
[2021-03-15 02:03:40] Training loss: 0.0122
[2021-03-15 02:03:40] Testing on 5000 data points...
[2021-03-15 02:03:40] Test accuracy: 0.9970
[2021-03-15 02:03:40] Score for 270 labels: 0.9970
[2021-03-15 02:03:40] Showing labelled: False (4730/5000 visible)
[2021-03-15 02:03:40] Found 4730 unlabelled features.
[2021-03-15 02:03:40] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:40] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:40] Scoring random batches...
[2021-03-15 02:03:40] Showing labelled: True (290/5000 visible)
[2021-03-15 02:03:40] Training mlp across 290 data points in blobsthin...
[2021-03-15 02:03:42] Training loss: 0.0099
[2021-03-15 02:03:42] Testing on 5000 data points...
[2021-03-15 02:03:42] Test accuracy: 0.9968
[2021-03-15 02:03:42] Score for 290 labels: 0.9968
[2021-03-15 02:03:42] Showing labelled: False (4710/5000 visible)
[2021-03-15 02:03:42] Found 4710 unlabelled features.
[2021-03-15 02:03:42] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:42] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:43] Scoring random batches...
[2021-03-15 02:03:43] Showing labelled: True (310/5000 visible)
[2021-03-15 02:03:43] Training mlp across 310 data points in blobsthin...
[2021-03-15 02:03:45] Training loss: 0.0092
[2021-03-15 02:03:45] Testing on 5000 data points...
[2021-03-15 02:03:45] Test accuracy: 0.9966
[2021-03-15 02:03:45] Score for 310 labels: 0.9966
[2021-03-15 02:03:45] Experiment repeat 4/5
[2021-03-15 02:03:45] Randomly labelled 50/5000
[2021-03-15 02:03:45] Showing labelled: True (50/5000 visible)
[2021-03-15 02:03:45] Running: experiment 0
[2021-03-15 02:03:45] Showing labelled: True (50/5000 visible)
[2021-03-15 02:03:45] mlp: initialized 1482 parameters.
[2021-03-15 02:03:45] Creating trainer with model on device: cuda
[2021-03-15 02:03:45] Training mlp across 50 data points in blobsthin...
[2021-03-15 02:03:45] Training loss: 1.0962
[2021-03-15 02:03:45] Testing on 5000 data points...
[2021-03-15 02:03:45] Test accuracy: 0.4828
[2021-03-15 02:03:45] Score for 50 labels: 0.4828
[2021-03-15 02:03:45] Showing labelled: False (4950/5000 visible)
[2021-03-15 02:03:45] Found 4950 unlabelled features.
[2021-03-15 02:03:45] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:45] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:46] Scoring random batches...
[2021-03-15 02:03:46] Showing labelled: True (70/5000 visible)
[2021-03-15 02:03:46] Training mlp across 70 data points in blobsthin...
[2021-03-15 02:03:46] Training loss: 0.5208
[2021-03-15 02:03:46] Testing on 5000 data points...
[2021-03-15 02:03:46] Test accuracy: 0.6892
[2021-03-15 02:03:46] Score for 70 labels: 0.6892
[2021-03-15 02:03:46] Showing labelled: False (4930/5000 visible)
[2021-03-15 02:03:46] Found 4930 unlabelled features.
[2021-03-15 02:03:46] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:46] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:47] Scoring random batches...
[2021-03-15 02:03:47] Showing labelled: True (90/5000 visible)
[2021-03-15 02:03:47] Training mlp across 90 data points in blobsthin...
[2021-03-15 02:03:47] Training loss: 0.3226
[2021-03-15 02:03:47] Testing on 5000 data points...
[2021-03-15 02:03:47] Test accuracy: 0.8404
[2021-03-15 02:03:47] Score for 90 labels: 0.8404
[2021-03-15 02:03:47] Showing labelled: False (4910/5000 visible)
[2021-03-15 02:03:47] Found 4910 unlabelled features.
[2021-03-15 02:03:47] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:48] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:48] Scoring random batches...
[2021-03-15 02:03:48] Showing labelled: True (110/5000 visible)
[2021-03-15 02:03:48] Training mlp across 110 data points in blobsthin...
[2021-03-15 02:03:49] Training loss: 0.2040
[2021-03-15 02:03:49] Testing on 5000 data points...
[2021-03-15 02:03:49] Test accuracy: 0.9102
[2021-03-15 02:03:49] Score for 110 labels: 0.9102
[2021-03-15 02:03:49] Showing labelled: False (4890/5000 visible)
[2021-03-15 02:03:49] Found 4890 unlabelled features.
[2021-03-15 02:03:49] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:49] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:49] Scoring random batches...
[2021-03-15 02:03:49] Showing labelled: True (130/5000 visible)
[2021-03-15 02:03:49] Training mlp across 130 data points in blobsthin...
[2021-03-15 02:03:50] Training loss: 0.1437
[2021-03-15 02:03:50] Testing on 5000 data points...
[2021-03-15 02:03:50] Test accuracy: 0.9144
[2021-03-15 02:03:50] Score for 130 labels: 0.9144
[2021-03-15 02:03:50] Showing labelled: False (4870/5000 visible)
[2021-03-15 02:03:50] Found 4870 unlabelled features.
[2021-03-15 02:03:50] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:50] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:51] Scoring random batches...
[2021-03-15 02:03:51] Showing labelled: True (150/5000 visible)
[2021-03-15 02:03:51] Training mlp across 150 data points in blobsthin...
[2021-03-15 02:03:52] Training loss: 0.1067
[2021-03-15 02:03:52] Testing on 5000 data points...
[2021-03-15 02:03:52] Test accuracy: 0.9536
[2021-03-15 02:03:52] Score for 150 labels: 0.9536
[2021-03-15 02:03:52] Showing labelled: False (4850/5000 visible)
[2021-03-15 02:03:52] Found 4850 unlabelled features.
[2021-03-15 02:03:52] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:52] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:52] Scoring random batches...
[2021-03-15 02:03:52] Showing labelled: True (170/5000 visible)
[2021-03-15 02:03:52] Training mlp across 170 data points in blobsthin...
[2021-03-15 02:03:54] Training loss: 0.0781
[2021-03-15 02:03:54] Testing on 5000 data points...
[2021-03-15 02:03:54] Test accuracy: 0.9624
[2021-03-15 02:03:54] Score for 170 labels: 0.9624
[2021-03-15 02:03:54] Showing labelled: False (4830/5000 visible)
[2021-03-15 02:03:54] Found 4830 unlabelled features.
[2021-03-15 02:03:54] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:54] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:54] Scoring random batches...
[2021-03-15 02:03:54] Showing labelled: True (190/5000 visible)
[2021-03-15 02:03:54] Training mlp across 190 data points in blobsthin...
[2021-03-15 02:03:55] Training loss: 0.0558
[2021-03-15 02:03:55] Testing on 5000 data points...
[2021-03-15 02:03:55] Test accuracy: 0.9790
[2021-03-15 02:03:55] Score for 190 labels: 0.9790
[2021-03-15 02:03:55] Showing labelled: False (4810/5000 visible)
[2021-03-15 02:03:55] Found 4810 unlabelled features.
[2021-03-15 02:03:55] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:56] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:56] Scoring random batches...
[2021-03-15 02:03:56] Showing labelled: True (210/5000 visible)
[2021-03-15 02:03:56] Training mlp across 210 data points in blobsthin...
[2021-03-15 02:03:57] Training loss: 0.0412
[2021-03-15 02:03:57] Testing on 5000 data points...
[2021-03-15 02:03:57] Test accuracy: 0.9874
[2021-03-15 02:03:57] Score for 210 labels: 0.9874
[2021-03-15 02:03:57] Showing labelled: False (4790/5000 visible)
[2021-03-15 02:03:57] Found 4790 unlabelled features.
[2021-03-15 02:03:57] Training GMM (k=32) on labelled features...
[2021-03-15 02:03:58] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:03:58] Scoring random batches...
[2021-03-15 02:03:58] Showing labelled: True (230/5000 visible)
[2021-03-15 02:03:58] Training mlp across 230 data points in blobsthin...
[2021-03-15 02:04:00] Training loss: 0.0292
[2021-03-15 02:04:00] Testing on 5000 data points...
[2021-03-15 02:04:00] Test accuracy: 0.9896
[2021-03-15 02:04:00] Score for 230 labels: 0.9896
[2021-03-15 02:04:00] Showing labelled: False (4770/5000 visible)
[2021-03-15 02:04:00] Found 4770 unlabelled features.
[2021-03-15 02:04:00] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:00] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:00] Scoring random batches...
[2021-03-15 02:04:00] Showing labelled: True (250/5000 visible)
[2021-03-15 02:04:00] Training mlp across 250 data points in blobsthin...
[2021-03-15 02:04:02] Training loss: 0.0221
[2021-03-15 02:04:02] Testing on 5000 data points...
[2021-03-15 02:04:02] Test accuracy: 0.9936
[2021-03-15 02:04:02] Score for 250 labels: 0.9936
[2021-03-15 02:04:02] Showing labelled: False (4750/5000 visible)
[2021-03-15 02:04:02] Found 4750 unlabelled features.
[2021-03-15 02:04:02] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:02] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:02] Scoring random batches...
[2021-03-15 02:04:02] Showing labelled: True (270/5000 visible)
[2021-03-15 02:04:02] Training mlp across 270 data points in blobsthin...
[2021-03-15 02:04:04] Training loss: 0.0194
[2021-03-15 02:04:04] Testing on 5000 data points...
[2021-03-15 02:04:04] Test accuracy: 0.9962
[2021-03-15 02:04:04] Score for 270 labels: 0.9962
[2021-03-15 02:04:04] Showing labelled: False (4730/5000 visible)
[2021-03-15 02:04:04] Found 4730 unlabelled features.
[2021-03-15 02:04:04] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:04] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:05] Scoring random batches...
[2021-03-15 02:04:05] Showing labelled: True (290/5000 visible)
[2021-03-15 02:04:05] Training mlp across 290 data points in blobsthin...
[2021-03-15 02:04:07] Training loss: 0.0158
[2021-03-15 02:04:07] Testing on 5000 data points...
[2021-03-15 02:04:07] Test accuracy: 0.9960
[2021-03-15 02:04:07] Score for 290 labels: 0.9960
[2021-03-15 02:04:07] Showing labelled: False (4710/5000 visible)
[2021-03-15 02:04:07] Found 4710 unlabelled features.
[2021-03-15 02:04:07] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:07] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:08] Scoring random batches...
[2021-03-15 02:04:08] Showing labelled: True (310/5000 visible)
[2021-03-15 02:04:08] Training mlp across 310 data points in blobsthin...
[2021-03-15 02:04:10] Training loss: 0.0124
[2021-03-15 02:04:10] Testing on 5000 data points...
[2021-03-15 02:04:10] Test accuracy: 0.9970
[2021-03-15 02:04:10] Score for 310 labels: 0.9970
[2021-03-15 02:04:10] Experiment repeat 5/5
[2021-03-15 02:04:10] Randomly labelled 50/5000
[2021-03-15 02:04:10] Showing labelled: True (50/5000 visible)
[2021-03-15 02:04:10] Running: experiment 0
[2021-03-15 02:04:10] Showing labelled: True (50/5000 visible)
[2021-03-15 02:04:10] mlp: initialized 1482 parameters.
[2021-03-15 02:04:10] Creating trainer with model on device: cuda
[2021-03-15 02:04:10] Training mlp across 50 data points in blobsthin...
[2021-03-15 02:04:10] Training loss: 1.2828
[2021-03-15 02:04:10] Testing on 5000 data points...
[2021-03-15 02:04:10] Test accuracy: 0.4948
[2021-03-15 02:04:10] Score for 50 labels: 0.4948
[2021-03-15 02:04:10] Showing labelled: False (4950/5000 visible)
[2021-03-15 02:04:10] Found 4950 unlabelled features.
[2021-03-15 02:04:10] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:10] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:11] Scoring random batches...
[2021-03-15 02:04:11] Showing labelled: True (70/5000 visible)
[2021-03-15 02:04:11] Training mlp across 70 data points in blobsthin...
[2021-03-15 02:04:11] Training loss: 0.6129
[2021-03-15 02:04:11] Testing on 5000 data points...
[2021-03-15 02:04:11] Test accuracy: 0.6998
[2021-03-15 02:04:11] Score for 70 labels: 0.6998
[2021-03-15 02:04:11] Showing labelled: False (4930/5000 visible)
[2021-03-15 02:04:11] Found 4930 unlabelled features.
[2021-03-15 02:04:11] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:11] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:12] Scoring random batches...
[2021-03-15 02:04:12] Showing labelled: True (90/5000 visible)
[2021-03-15 02:04:12] Training mlp across 90 data points in blobsthin...
[2021-03-15 02:04:12] Training loss: 0.3383
[2021-03-15 02:04:12] Testing on 5000 data points...
[2021-03-15 02:04:13] Test accuracy: 0.8056
[2021-03-15 02:04:13] Score for 90 labels: 0.8056
[2021-03-15 02:04:13] Showing labelled: False (4910/5000 visible)
[2021-03-15 02:04:13] Found 4910 unlabelled features.
[2021-03-15 02:04:13] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:13] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:13] Scoring random batches...
[2021-03-15 02:04:13] Showing labelled: True (110/5000 visible)
[2021-03-15 02:04:13] Training mlp across 110 data points in blobsthin...
[2021-03-15 02:04:14] Training loss: 0.2124
[2021-03-15 02:04:14] Testing on 5000 data points...
[2021-03-15 02:04:14] Test accuracy: 0.9108
[2021-03-15 02:04:14] Score for 110 labels: 0.9108
[2021-03-15 02:04:14] Showing labelled: False (4890/5000 visible)
[2021-03-15 02:04:14] Found 4890 unlabelled features.
[2021-03-15 02:04:14] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:14] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:14] Scoring random batches...
[2021-03-15 02:04:14] Showing labelled: True (130/5000 visible)
[2021-03-15 02:04:14] Training mlp across 130 data points in blobsthin...
[2021-03-15 02:04:15] Training loss: 0.1171
[2021-03-15 02:04:15] Testing on 5000 data points...
[2021-03-15 02:04:15] Test accuracy: 0.9862
[2021-03-15 02:04:15] Score for 130 labels: 0.9862
[2021-03-15 02:04:15] Showing labelled: False (4870/5000 visible)
[2021-03-15 02:04:15] Found 4870 unlabelled features.
[2021-03-15 02:04:15] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:16] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:16] Scoring random batches...
[2021-03-15 02:04:16] Showing labelled: True (150/5000 visible)
[2021-03-15 02:04:16] Training mlp across 150 data points in blobsthin...
[2021-03-15 02:04:17] Training loss: 0.0782
[2021-03-15 02:04:17] Testing on 5000 data points...
[2021-03-15 02:04:17] Test accuracy: 0.9936
[2021-03-15 02:04:17] Score for 150 labels: 0.9936
[2021-03-15 02:04:17] Showing labelled: False (4850/5000 visible)
[2021-03-15 02:04:17] Found 4850 unlabelled features.
[2021-03-15 02:04:17] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:17] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:18] Scoring random batches...
[2021-03-15 02:04:18] Showing labelled: True (170/5000 visible)
[2021-03-15 02:04:18] Training mlp across 170 data points in blobsthin...
[2021-03-15 02:04:19] Training loss: 0.0509
[2021-03-15 02:04:19] Testing on 5000 data points...
[2021-03-15 02:04:19] Test accuracy: 0.9942
[2021-03-15 02:04:19] Score for 170 labels: 0.9942
[2021-03-15 02:04:19] Showing labelled: False (4830/5000 visible)
[2021-03-15 02:04:19] Found 4830 unlabelled features.
[2021-03-15 02:04:19] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:19] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:19] Scoring random batches...
[2021-03-15 02:04:19] Showing labelled: True (190/5000 visible)
[2021-03-15 02:04:19] Training mlp across 190 data points in blobsthin...
[2021-03-15 02:04:21] Training loss: 0.0340
[2021-03-15 02:04:21] Testing on 5000 data points...
[2021-03-15 02:04:21] Test accuracy: 0.9956
[2021-03-15 02:04:21] Score for 190 labels: 0.9956
[2021-03-15 02:04:21] Showing labelled: False (4810/5000 visible)
[2021-03-15 02:04:21] Found 4810 unlabelled features.
[2021-03-15 02:04:21] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:21] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:21] Scoring random batches...
[2021-03-15 02:04:21] Showing labelled: True (210/5000 visible)
[2021-03-15 02:04:21] Training mlp across 210 data points in blobsthin...
[2021-03-15 02:04:23] Training loss: 0.0231
[2021-03-15 02:04:23] Testing on 5000 data points...
[2021-03-15 02:04:23] Test accuracy: 0.9956
[2021-03-15 02:04:23] Score for 210 labels: 0.9956
[2021-03-15 02:04:23] Showing labelled: False (4790/5000 visible)
[2021-03-15 02:04:23] Found 4790 unlabelled features.
[2021-03-15 02:04:23] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:23] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:23] Scoring random batches...
[2021-03-15 02:04:23] Showing labelled: True (230/5000 visible)
[2021-03-15 02:04:23] Training mlp across 230 data points in blobsthin...
[2021-03-15 02:04:25] Training loss: 0.0167
[2021-03-15 02:04:25] Testing on 5000 data points...
[2021-03-15 02:04:25] Test accuracy: 0.9958
[2021-03-15 02:04:25] Score for 230 labels: 0.9958
[2021-03-15 02:04:25] Showing labelled: False (4770/5000 visible)
[2021-03-15 02:04:25] Found 4770 unlabelled features.
[2021-03-15 02:04:25] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:25] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:25] Scoring random batches...
[2021-03-15 02:04:25] Showing labelled: True (250/5000 visible)
[2021-03-15 02:04:25] Training mlp across 250 data points in blobsthin...
[2021-03-15 02:04:27] Training loss: 0.0152
[2021-03-15 02:04:27] Testing on 5000 data points...
[2021-03-15 02:04:27] Test accuracy: 0.9972
[2021-03-15 02:04:27] Score for 250 labels: 0.9972
[2021-03-15 02:04:27] Showing labelled: False (4750/5000 visible)
[2021-03-15 02:04:27] Found 4750 unlabelled features.
[2021-03-15 02:04:27] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:27] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:28] Scoring random batches...
[2021-03-15 02:04:28] Showing labelled: True (270/5000 visible)
[2021-03-15 02:04:28] Training mlp across 270 data points in blobsthin...
[2021-03-15 02:04:29] Training loss: 0.0133
[2021-03-15 02:04:29] Testing on 5000 data points...
[2021-03-15 02:04:29] Test accuracy: 0.9978
[2021-03-15 02:04:29] Score for 270 labels: 0.9978
[2021-03-15 02:04:29] Showing labelled: False (4730/5000 visible)
[2021-03-15 02:04:29] Found 4730 unlabelled features.
[2021-03-15 02:04:29] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:30] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:30] Scoring random batches...
[2021-03-15 02:04:30] Showing labelled: True (290/5000 visible)
[2021-03-15 02:04:30] Training mlp across 290 data points in blobsthin...
[2021-03-15 02:04:32] Training loss: 0.0114
[2021-03-15 02:04:32] Testing on 5000 data points...
[2021-03-15 02:04:32] Test accuracy: 0.9976
[2021-03-15 02:04:32] Score for 290 labels: 0.9976
[2021-03-15 02:04:32] Showing labelled: False (4710/5000 visible)
[2021-03-15 02:04:32] Found 4710 unlabelled features.
[2021-03-15 02:04:32] Training GMM (k=32) on labelled features...
[2021-03-15 02:04:32] Training GMM (k=32) on unlabelled features...
[2021-03-15 02:04:32] Scoring random batches...
[2021-03-15 02:04:32] Showing labelled: True (310/5000 visible)
[2021-03-15 02:04:32] Training mlp across 310 data points in blobsthin...
[2021-03-15 02:04:35] Training loss: 0.0098
[2021-03-15 02:04:35] Testing on 5000 data points...
[2021-03-15 02:04:35] Test accuracy: 0.9974
[2021-03-15 02:04:35] Score for 310 labels: 0.9974
[2021-03-15 02:04:35] Updated results: ../results/mine_pcoreset_lowaccept/results.json
