[2021-03-15 01:57:12] Seeded: 5
[2021-03-15 01:57:12] Created experiment 0:
[2021-03-15 01:57:12]  - Model: mlp
[2021-03-15 01:57:12]  - Acquisition function: p-coreset
[2021-03-15 01:57:12] Loading blobsthin test set...
[2021-03-15 01:57:12] Generated 5000 blobs:
[2021-03-15 01:57:12] Class 0: 200
[2021-03-15 01:57:12] Class 1: 300
[2021-03-15 01:57:12] Class 2: 1000
[2021-03-15 01:57:12] Class 3: 100
[2021-03-15 01:57:12] Class 4: 50
[2021-03-15 01:57:12] Class 5: 200
[2021-03-15 01:57:12] Class 6: 400
[2021-03-15 01:57:12] Class 7: 1800
[2021-03-15 01:57:12] Class 8: 50
[2021-03-15 01:57:12] Class 9: 900
[2021-03-15 01:57:12] Saved figure to: ../data/blobsthin_data.png
[2021-03-15 01:57:12] Generated 5000 test points.
[2021-03-15 01:57:12] Saved figure to: ../data/blobsthin_test.png
[2021-03-15 01:57:12] Experiment repeat 1/5
[2021-03-15 01:57:12] Randomly labelled 50/5000
[2021-03-15 01:57:12] Showing labelled: True (50/5000 visible)
[2021-03-15 01:57:12] Running: experiment 0
[2021-03-15 01:57:12] Showing labelled: True (50/5000 visible)
[2021-03-15 01:57:12] mlp: initialized 1482 parameters.
[2021-03-15 01:57:12] Creating trainer with model on device: cuda
[2021-03-15 01:57:17] Training mlp across 50 data points in blobsthin...
[2021-03-15 01:57:18] Training loss: 1.5627
[2021-03-15 01:57:18] Testing on 5000 data points...
[2021-03-15 01:57:18] Test accuracy: 0.5000
[2021-03-15 01:57:18] Score for 50 labels: 0.5000
[2021-03-15 01:57:18] Showing labelled: False (4950/5000 visible)
[2021-03-15 01:57:18] Found 4950 unlabelled features.
[2021-03-15 01:57:18] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:18] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:18] Scoring random batches...
[2021-03-15 01:57:18] Showing labelled: True (70/5000 visible)
[2021-03-15 01:57:18] Training mlp across 70 data points in blobsthin...
[2021-03-15 01:57:19] Training loss: 0.6699
[2021-03-15 01:57:19] Testing on 5000 data points...
[2021-03-15 01:57:19] Test accuracy: 0.6140
[2021-03-15 01:57:19] Score for 70 labels: 0.6140
[2021-03-15 01:57:19] Showing labelled: False (4930/5000 visible)
[2021-03-15 01:57:19] Found 4930 unlabelled features.
[2021-03-15 01:57:19] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:19] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:19] Scoring random batches...
[2021-03-15 01:57:19] Showing labelled: True (90/5000 visible)
[2021-03-15 01:57:19] Training mlp across 90 data points in blobsthin...
[2021-03-15 01:57:20] Training loss: 0.3605
[2021-03-15 01:57:20] Testing on 5000 data points...
[2021-03-15 01:57:20] Test accuracy: 0.7948
[2021-03-15 01:57:20] Score for 90 labels: 0.7948
[2021-03-15 01:57:20] Showing labelled: False (4910/5000 visible)
[2021-03-15 01:57:20] Found 4910 unlabelled features.
[2021-03-15 01:57:20] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:20] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:21] Scoring random batches...
[2021-03-15 01:57:21] Showing labelled: True (110/5000 visible)
[2021-03-15 01:57:21] Training mlp across 110 data points in blobsthin...
[2021-03-15 01:57:22] Training loss: 0.2117
[2021-03-15 01:57:22] Testing on 5000 data points...
[2021-03-15 01:57:22] Test accuracy: 0.7984
[2021-03-15 01:57:22] Score for 110 labels: 0.7984
[2021-03-15 01:57:22] Showing labelled: False (4890/5000 visible)
[2021-03-15 01:57:22] Found 4890 unlabelled features.
[2021-03-15 01:57:22] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:22] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:22] Scoring random batches...
[2021-03-15 01:57:22] Showing labelled: True (130/5000 visible)
[2021-03-15 01:57:22] Training mlp across 130 data points in blobsthin...
[2021-03-15 01:57:23] Training loss: 0.1462
[2021-03-15 01:57:23] Testing on 5000 data points...
[2021-03-15 01:57:23] Test accuracy: 0.9266
[2021-03-15 01:57:23] Score for 130 labels: 0.9266
[2021-03-15 01:57:23] Showing labelled: False (4870/5000 visible)
[2021-03-15 01:57:23] Found 4870 unlabelled features.
[2021-03-15 01:57:23] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:23] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:24] Scoring random batches...
[2021-03-15 01:57:24] Showing labelled: True (150/5000 visible)
[2021-03-15 01:57:24] Training mlp across 150 data points in blobsthin...
[2021-03-15 01:57:25] Training loss: 0.0961
[2021-03-15 01:57:25] Testing on 5000 data points...
[2021-03-15 01:57:25] Test accuracy: 0.9824
[2021-03-15 01:57:25] Score for 150 labels: 0.9824
[2021-03-15 01:57:25] Showing labelled: False (4850/5000 visible)
[2021-03-15 01:57:25] Found 4850 unlabelled features.
[2021-03-15 01:57:25] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:25] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:26] Scoring random batches...
[2021-03-15 01:57:26] Showing labelled: True (170/5000 visible)
[2021-03-15 01:57:26] Training mlp across 170 data points in blobsthin...
[2021-03-15 01:57:27] Training loss: 0.0583
[2021-03-15 01:57:27] Testing on 5000 data points...
[2021-03-15 01:57:27] Test accuracy: 0.9932
[2021-03-15 01:57:27] Score for 170 labels: 0.9932
[2021-03-15 01:57:27] Showing labelled: False (4830/5000 visible)
[2021-03-15 01:57:27] Found 4830 unlabelled features.
[2021-03-15 01:57:27] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:27] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:28] Scoring random batches...
[2021-03-15 01:57:28] Showing labelled: True (190/5000 visible)
[2021-03-15 01:57:28] Training mlp across 190 data points in blobsthin...
[2021-03-15 01:57:29] Training loss: 0.0365
[2021-03-15 01:57:29] Testing on 5000 data points...
[2021-03-15 01:57:29] Test accuracy: 0.9934
[2021-03-15 01:57:29] Score for 190 labels: 0.9934
[2021-03-15 01:57:29] Showing labelled: False (4810/5000 visible)
[2021-03-15 01:57:29] Found 4810 unlabelled features.
[2021-03-15 01:57:29] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:29] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:30] Scoring random batches...
[2021-03-15 01:57:30] Showing labelled: True (210/5000 visible)
[2021-03-15 01:57:30] Training mlp across 210 data points in blobsthin...
[2021-03-15 01:57:31] Training loss: 0.0268
[2021-03-15 01:57:31] Testing on 5000 data points...
[2021-03-15 01:57:31] Test accuracy: 0.9956
[2021-03-15 01:57:31] Score for 210 labels: 0.9956
[2021-03-15 01:57:31] Showing labelled: False (4790/5000 visible)
[2021-03-15 01:57:31] Found 4790 unlabelled features.
[2021-03-15 01:57:31] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:32] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:32] Scoring random batches...
[2021-03-15 01:57:32] Showing labelled: True (230/5000 visible)
[2021-03-15 01:57:32] Training mlp across 230 data points in blobsthin...
[2021-03-15 01:57:34] Training loss: 0.0195
[2021-03-15 01:57:34] Testing on 5000 data points...
[2021-03-15 01:57:34] Test accuracy: 0.9954
[2021-03-15 01:57:34] Score for 230 labels: 0.9954
[2021-03-15 01:57:34] Showing labelled: False (4770/5000 visible)
[2021-03-15 01:57:34] Found 4770 unlabelled features.
[2021-03-15 01:57:34] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:34] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:34] Scoring random batches...
[2021-03-15 01:57:34] Showing labelled: True (250/5000 visible)
[2021-03-15 01:57:34] Training mlp across 250 data points in blobsthin...
[2021-03-15 01:57:36] Training loss: 0.0143
[2021-03-15 01:57:36] Testing on 5000 data points...
[2021-03-15 01:57:36] Test accuracy: 0.9960
[2021-03-15 01:57:36] Score for 250 labels: 0.9960
[2021-03-15 01:57:36] Showing labelled: False (4750/5000 visible)
[2021-03-15 01:57:36] Found 4750 unlabelled features.
[2021-03-15 01:57:36] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:36] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:37] Scoring random batches...
[2021-03-15 01:57:37] Showing labelled: True (270/5000 visible)
[2021-03-15 01:57:37] Training mlp across 270 data points in blobsthin...
[2021-03-15 01:57:38] Training loss: 0.0107
[2021-03-15 01:57:38] Testing on 5000 data points...
[2021-03-15 01:57:38] Test accuracy: 0.9964
[2021-03-15 01:57:38] Score for 270 labels: 0.9964
[2021-03-15 01:57:38] Showing labelled: False (4730/5000 visible)
[2021-03-15 01:57:38] Found 4730 unlabelled features.
[2021-03-15 01:57:38] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:39] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:39] Scoring random batches...
[2021-03-15 01:57:39] Showing labelled: True (290/5000 visible)
[2021-03-15 01:57:39] Training mlp across 290 data points in blobsthin...
[2021-03-15 01:57:41] Training loss: 0.0087
[2021-03-15 01:57:41] Testing on 5000 data points...
[2021-03-15 01:57:41] Test accuracy: 0.9964
[2021-03-15 01:57:41] Score for 290 labels: 0.9964
[2021-03-15 01:57:41] Showing labelled: False (4710/5000 visible)
[2021-03-15 01:57:41] Found 4710 unlabelled features.
[2021-03-15 01:57:41] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:41] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:42] Scoring random batches...
[2021-03-15 01:57:42] Showing labelled: True (310/5000 visible)
[2021-03-15 01:57:42] Training mlp across 310 data points in blobsthin...
[2021-03-15 01:57:44] Training loss: 0.0078
[2021-03-15 01:57:44] Testing on 5000 data points...
[2021-03-15 01:57:44] Test accuracy: 0.9972
[2021-03-15 01:57:44] Score for 310 labels: 0.9972
[2021-03-15 01:57:44] Experiment repeat 2/5
[2021-03-15 01:57:44] Randomly labelled 50/5000
[2021-03-15 01:57:44] Showing labelled: True (50/5000 visible)
[2021-03-15 01:57:44] Running: experiment 0
[2021-03-15 01:57:44] Showing labelled: True (50/5000 visible)
[2021-03-15 01:57:44] mlp: initialized 1482 parameters.
[2021-03-15 01:57:44] Creating trainer with model on device: cuda
[2021-03-15 01:57:44] Training mlp across 50 data points in blobsthin...
[2021-03-15 01:57:44] Training loss: 1.1217
[2021-03-15 01:57:44] Testing on 5000 data points...
[2021-03-15 01:57:44] Test accuracy: 0.5948
[2021-03-15 01:57:44] Score for 50 labels: 0.5948
[2021-03-15 01:57:44] Showing labelled: False (4950/5000 visible)
[2021-03-15 01:57:44] Found 4950 unlabelled features.
[2021-03-15 01:57:44] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:44] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:45] Scoring random batches...
[2021-03-15 01:57:45] Showing labelled: True (70/5000 visible)
[2021-03-15 01:57:45] Training mlp across 70 data points in blobsthin...
[2021-03-15 01:57:46] Training loss: 0.4761
[2021-03-15 01:57:46] Testing on 5000 data points...
[2021-03-15 01:57:46] Test accuracy: 0.7926
[2021-03-15 01:57:46] Score for 70 labels: 0.7926
[2021-03-15 01:57:46] Showing labelled: False (4930/5000 visible)
[2021-03-15 01:57:46] Found 4930 unlabelled features.
[2021-03-15 01:57:46] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:46] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:46] Scoring random batches...
[2021-03-15 01:57:46] Showing labelled: True (90/5000 visible)
[2021-03-15 01:57:46] Training mlp across 90 data points in blobsthin...
[2021-03-15 01:57:47] Training loss: 0.2670
[2021-03-15 01:57:47] Testing on 5000 data points...
[2021-03-15 01:57:47] Test accuracy: 0.7998
[2021-03-15 01:57:47] Score for 90 labels: 0.7998
[2021-03-15 01:57:47] Showing labelled: False (4910/5000 visible)
[2021-03-15 01:57:47] Found 4910 unlabelled features.
[2021-03-15 01:57:47] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:47] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:48] Scoring random batches...
[2021-03-15 01:57:48] Showing labelled: True (110/5000 visible)
[2021-03-15 01:57:48] Training mlp across 110 data points in blobsthin...
[2021-03-15 01:57:48] Training loss: 0.1695
[2021-03-15 01:57:48] Testing on 5000 data points...
[2021-03-15 01:57:48] Test accuracy: 0.8000
[2021-03-15 01:57:48] Score for 110 labels: 0.8000
[2021-03-15 01:57:48] Showing labelled: False (4890/5000 visible)
[2021-03-15 01:57:48] Found 4890 unlabelled features.
[2021-03-15 01:57:49] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:49] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:49] Scoring random batches...
[2021-03-15 01:57:49] Showing labelled: True (130/5000 visible)
[2021-03-15 01:57:49] Training mlp across 130 data points in blobsthin...
[2021-03-15 01:57:50] Training loss: 0.2006
[2021-03-15 01:57:50] Testing on 5000 data points...
[2021-03-15 01:57:50] Test accuracy: 0.7998
[2021-03-15 01:57:50] Score for 130 labels: 0.7998
[2021-03-15 01:57:50] Showing labelled: False (4870/5000 visible)
[2021-03-15 01:57:50] Found 4870 unlabelled features.
[2021-03-15 01:57:50] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:50] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:51] Scoring random batches...
[2021-03-15 01:57:51] Showing labelled: True (150/5000 visible)
[2021-03-15 01:57:51] Training mlp across 150 data points in blobsthin...
[2021-03-15 01:57:52] Training loss: 0.1245
[2021-03-15 01:57:52] Testing on 5000 data points...
[2021-03-15 01:57:52] Test accuracy: 0.9370
[2021-03-15 01:57:52] Score for 150 labels: 0.9370
[2021-03-15 01:57:52] Showing labelled: False (4850/5000 visible)
[2021-03-15 01:57:52] Found 4850 unlabelled features.
[2021-03-15 01:57:52] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:52] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:53] Scoring random batches...
[2021-03-15 01:57:53] Showing labelled: True (170/5000 visible)
[2021-03-15 01:57:53] Training mlp across 170 data points in blobsthin...
[2021-03-15 01:57:54] Training loss: 0.0863
[2021-03-15 01:57:54] Testing on 5000 data points...
[2021-03-15 01:57:54] Test accuracy: 0.9730
[2021-03-15 01:57:54] Score for 170 labels: 0.9730
[2021-03-15 01:57:54] Showing labelled: False (4830/5000 visible)
[2021-03-15 01:57:54] Found 4830 unlabelled features.
[2021-03-15 01:57:54] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:54] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:55] Scoring random batches...
[2021-03-15 01:57:55] Showing labelled: True (190/5000 visible)
[2021-03-15 01:57:55] Training mlp across 190 data points in blobsthin...
[2021-03-15 01:57:56] Training loss: 0.0714
[2021-03-15 01:57:56] Testing on 5000 data points...
[2021-03-15 01:57:56] Test accuracy: 0.9926
[2021-03-15 01:57:56] Score for 190 labels: 0.9926
[2021-03-15 01:57:56] Showing labelled: False (4810/5000 visible)
[2021-03-15 01:57:56] Found 4810 unlabelled features.
[2021-03-15 01:57:56] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:56] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:57] Scoring random batches...
[2021-03-15 01:57:57] Showing labelled: True (210/5000 visible)
[2021-03-15 01:57:57] Training mlp across 210 data points in blobsthin...
[2021-03-15 01:57:58] Training loss: 0.0548
[2021-03-15 01:57:58] Testing on 5000 data points...
[2021-03-15 01:57:58] Test accuracy: 0.9954
[2021-03-15 01:57:58] Score for 210 labels: 0.9954
[2021-03-15 01:57:58] Showing labelled: False (4790/5000 visible)
[2021-03-15 01:57:58] Found 4790 unlabelled features.
[2021-03-15 01:57:58] Training GMM (k=32) on labelled features...
[2021-03-15 01:57:59] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:57:59] Scoring random batches...
[2021-03-15 01:57:59] Showing labelled: True (230/5000 visible)
[2021-03-15 01:57:59] Training mlp across 230 data points in blobsthin...
[2021-03-15 01:58:01] Training loss: 0.0430
[2021-03-15 01:58:01] Testing on 5000 data points...
[2021-03-15 01:58:01] Test accuracy: 0.9962
[2021-03-15 01:58:01] Score for 230 labels: 0.9962
[2021-03-15 01:58:01] Showing labelled: False (4770/5000 visible)
[2021-03-15 01:58:01] Found 4770 unlabelled features.
[2021-03-15 01:58:01] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:01] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:01] Scoring random batches...
[2021-03-15 01:58:01] Showing labelled: True (250/5000 visible)
[2021-03-15 01:58:01] Training mlp across 250 data points in blobsthin...
[2021-03-15 01:58:03] Training loss: 0.0323
[2021-03-15 01:58:03] Testing on 5000 data points...
[2021-03-15 01:58:03] Test accuracy: 0.9974
[2021-03-15 01:58:03] Score for 250 labels: 0.9974
[2021-03-15 01:58:03] Showing labelled: False (4750/5000 visible)
[2021-03-15 01:58:03] Found 4750 unlabelled features.
[2021-03-15 01:58:03] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:03] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:04] Scoring random batches...
[2021-03-15 01:58:04] Showing labelled: True (270/5000 visible)
[2021-03-15 01:58:04] Training mlp across 270 data points in blobsthin...
[2021-03-15 01:58:05] Training loss: 0.0252
[2021-03-15 01:58:05] Testing on 5000 data points...
[2021-03-15 01:58:05] Test accuracy: 0.9978
[2021-03-15 01:58:05] Score for 270 labels: 0.9978
[2021-03-15 01:58:05] Showing labelled: False (4730/5000 visible)
[2021-03-15 01:58:05] Found 4730 unlabelled features.
[2021-03-15 01:58:05] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:06] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:06] Scoring random batches...
[2021-03-15 01:58:06] Showing labelled: True (290/5000 visible)
[2021-03-15 01:58:06] Training mlp across 290 data points in blobsthin...
[2021-03-15 01:58:08] Training loss: 0.0199
[2021-03-15 01:58:08] Testing on 5000 data points...
[2021-03-15 01:58:08] Test accuracy: 0.9978
[2021-03-15 01:58:08] Score for 290 labels: 0.9978
[2021-03-15 01:58:08] Showing labelled: False (4710/5000 visible)
[2021-03-15 01:58:08] Found 4710 unlabelled features.
[2021-03-15 01:58:08] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:08] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:09] Scoring random batches...
[2021-03-15 01:58:09] Showing labelled: True (310/5000 visible)
[2021-03-15 01:58:09] Training mlp across 310 data points in blobsthin...
[2021-03-15 01:58:11] Training loss: 0.0169
[2021-03-15 01:58:11] Testing on 5000 data points...
[2021-03-15 01:58:11] Test accuracy: 0.9984
[2021-03-15 01:58:11] Score for 310 labels: 0.9984
[2021-03-15 01:58:11] Experiment repeat 3/5
[2021-03-15 01:58:11] Randomly labelled 50/5000
[2021-03-15 01:58:11] Showing labelled: True (50/5000 visible)
[2021-03-15 01:58:11] Running: experiment 0
[2021-03-15 01:58:11] Showing labelled: True (50/5000 visible)
[2021-03-15 01:58:11] mlp: initialized 1482 parameters.
[2021-03-15 01:58:11] Creating trainer with model on device: cuda
[2021-03-15 01:58:11] Training mlp across 50 data points in blobsthin...
[2021-03-15 01:58:11] Training loss: 1.1707
[2021-03-15 01:58:11] Testing on 5000 data points...
[2021-03-15 01:58:11] Test accuracy: 0.4982
[2021-03-15 01:58:11] Score for 50 labels: 0.4982
[2021-03-15 01:58:11] Showing labelled: False (4950/5000 visible)
[2021-03-15 01:58:11] Found 4950 unlabelled features.
[2021-03-15 01:58:11] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:11] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:12] Scoring random batches...
[2021-03-15 01:58:12] Showing labelled: True (70/5000 visible)
[2021-03-15 01:58:12] Training mlp across 70 data points in blobsthin...
[2021-03-15 01:58:13] Training loss: 0.5144
[2021-03-15 01:58:13] Testing on 5000 data points...
[2021-03-15 01:58:13] Test accuracy: 0.7560
[2021-03-15 01:58:13] Score for 70 labels: 0.7560
[2021-03-15 01:58:13] Showing labelled: False (4930/5000 visible)
[2021-03-15 01:58:13] Found 4930 unlabelled features.
[2021-03-15 01:58:13] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:13] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:13] Scoring random batches...
[2021-03-15 01:58:13] Showing labelled: True (90/5000 visible)
[2021-03-15 01:58:13] Training mlp across 90 data points in blobsthin...
[2021-03-15 01:58:14] Training loss: 0.2270
[2021-03-15 01:58:14] Testing on 5000 data points...
[2021-03-15 01:58:14] Test accuracy: 0.8980
[2021-03-15 01:58:14] Score for 90 labels: 0.8980
[2021-03-15 01:58:14] Showing labelled: False (4910/5000 visible)
[2021-03-15 01:58:14] Found 4910 unlabelled features.
[2021-03-15 01:58:14] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:14] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:15] Scoring random batches...
[2021-03-15 01:58:15] Showing labelled: True (110/5000 visible)
[2021-03-15 01:58:15] Training mlp across 110 data points in blobsthin...
[2021-03-15 01:58:15] Training loss: 0.1663
[2021-03-15 01:58:15] Testing on 5000 data points...
[2021-03-15 01:58:16] Test accuracy: 0.9042
[2021-03-15 01:58:16] Score for 110 labels: 0.9042
[2021-03-15 01:58:16] Showing labelled: False (4890/5000 visible)
[2021-03-15 01:58:16] Found 4890 unlabelled features.
[2021-03-15 01:58:16] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:16] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:16] Scoring random batches...
[2021-03-15 01:58:16] Showing labelled: True (130/5000 visible)
[2021-03-15 01:58:16] Training mlp across 130 data points in blobsthin...
[2021-03-15 01:58:17] Training loss: 0.1092
[2021-03-15 01:58:17] Testing on 5000 data points...
[2021-03-15 01:58:17] Test accuracy: 0.9234
[2021-03-15 01:58:17] Score for 130 labels: 0.9234
[2021-03-15 01:58:17] Showing labelled: False (4870/5000 visible)
[2021-03-15 01:58:17] Found 4870 unlabelled features.
[2021-03-15 01:58:17] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:17] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:18] Scoring random batches...
[2021-03-15 01:58:18] Showing labelled: True (150/5000 visible)
[2021-03-15 01:58:18] Training mlp across 150 data points in blobsthin...
[2021-03-15 01:58:19] Training loss: 0.0779
[2021-03-15 01:58:19] Testing on 5000 data points...
[2021-03-15 01:58:19] Test accuracy: 0.9436
[2021-03-15 01:58:19] Score for 150 labels: 0.9436
[2021-03-15 01:58:19] Showing labelled: False (4850/5000 visible)
[2021-03-15 01:58:19] Found 4850 unlabelled features.
[2021-03-15 01:58:19] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:19] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:20] Scoring random batches...
[2021-03-15 01:58:20] Showing labelled: True (170/5000 visible)
[2021-03-15 01:58:20] Training mlp across 170 data points in blobsthin...
[2021-03-15 01:58:21] Training loss: 0.0629
[2021-03-15 01:58:21] Testing on 5000 data points...
[2021-03-15 01:58:21] Test accuracy: 0.9436
[2021-03-15 01:58:21] Score for 170 labels: 0.9436
[2021-03-15 01:58:21] Showing labelled: False (4830/5000 visible)
[2021-03-15 01:58:21] Found 4830 unlabelled features.
[2021-03-15 01:58:21] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:21] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:21] Scoring random batches...
[2021-03-15 01:58:21] Showing labelled: True (190/5000 visible)
[2021-03-15 01:58:21] Training mlp across 190 data points in blobsthin...
[2021-03-15 01:58:23] Training loss: 0.0518
[2021-03-15 01:58:23] Testing on 5000 data points...
[2021-03-15 01:58:23] Test accuracy: 0.9790
[2021-03-15 01:58:23] Score for 190 labels: 0.9790
[2021-03-15 01:58:23] Showing labelled: False (4810/5000 visible)
[2021-03-15 01:58:23] Found 4810 unlabelled features.
[2021-03-15 01:58:23] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:23] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:24] Scoring random batches...
[2021-03-15 01:58:24] Showing labelled: True (210/5000 visible)
[2021-03-15 01:58:24] Training mlp across 210 data points in blobsthin...
[2021-03-15 01:58:25] Training loss: 0.0401
[2021-03-15 01:58:25] Testing on 5000 data points...
[2021-03-15 01:58:25] Test accuracy: 0.9910
[2021-03-15 01:58:25] Score for 210 labels: 0.9910
[2021-03-15 01:58:25] Showing labelled: False (4790/5000 visible)
[2021-03-15 01:58:25] Found 4790 unlabelled features.
[2021-03-15 01:58:25] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:25] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:26] Scoring random batches...
[2021-03-15 01:58:26] Showing labelled: True (230/5000 visible)
[2021-03-15 01:58:26] Training mlp across 230 data points in blobsthin...
[2021-03-15 01:58:27] Training loss: 0.0299
[2021-03-15 01:58:27] Testing on 5000 data points...
[2021-03-15 01:58:27] Test accuracy: 0.9910
[2021-03-15 01:58:27] Score for 230 labels: 0.9910
[2021-03-15 01:58:27] Showing labelled: False (4770/5000 visible)
[2021-03-15 01:58:27] Found 4770 unlabelled features.
[2021-03-15 01:58:27] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:27] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:28] Scoring random batches...
[2021-03-15 01:58:28] Showing labelled: True (250/5000 visible)
[2021-03-15 01:58:28] Training mlp across 250 data points in blobsthin...
[2021-03-15 01:58:30] Training loss: 0.0242
[2021-03-15 01:58:30] Testing on 5000 data points...
[2021-03-15 01:58:30] Test accuracy: 0.9936
[2021-03-15 01:58:30] Score for 250 labels: 0.9936
[2021-03-15 01:58:30] Showing labelled: False (4750/5000 visible)
[2021-03-15 01:58:30] Found 4750 unlabelled features.
[2021-03-15 01:58:30] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:30] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:30] Scoring random batches...
[2021-03-15 01:58:30] Showing labelled: True (270/5000 visible)
[2021-03-15 01:58:30] Training mlp across 270 data points in blobsthin...
[2021-03-15 01:58:32] Training loss: 0.0194
[2021-03-15 01:58:32] Testing on 5000 data points...
[2021-03-15 01:58:32] Test accuracy: 0.9950
[2021-03-15 01:58:32] Score for 270 labels: 0.9950
[2021-03-15 01:58:32] Showing labelled: False (4730/5000 visible)
[2021-03-15 01:58:32] Found 4730 unlabelled features.
[2021-03-15 01:58:32] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:32] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:33] Scoring random batches...
[2021-03-15 01:58:33] Showing labelled: True (290/5000 visible)
[2021-03-15 01:58:33] Training mlp across 290 data points in blobsthin...
[2021-03-15 01:58:35] Training loss: 0.0158
[2021-03-15 01:58:35] Testing on 5000 data points...
[2021-03-15 01:58:35] Test accuracy: 0.9954
[2021-03-15 01:58:35] Score for 290 labels: 0.9954
[2021-03-15 01:58:35] Showing labelled: False (4710/5000 visible)
[2021-03-15 01:58:35] Found 4710 unlabelled features.
[2021-03-15 01:58:35] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:35] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:35] Scoring random batches...
[2021-03-15 01:58:35] Showing labelled: True (310/5000 visible)
[2021-03-15 01:58:35] Training mlp across 310 data points in blobsthin...
[2021-03-15 01:58:37] Training loss: 0.0142
[2021-03-15 01:58:37] Testing on 5000 data points...
[2021-03-15 01:58:37] Test accuracy: 0.9958
[2021-03-15 01:58:37] Score for 310 labels: 0.9958
[2021-03-15 01:58:37] Experiment repeat 4/5
[2021-03-15 01:58:37] Randomly labelled 50/5000
[2021-03-15 01:58:37] Showing labelled: True (50/5000 visible)
[2021-03-15 01:58:37] Running: experiment 0
[2021-03-15 01:58:37] Showing labelled: True (50/5000 visible)
[2021-03-15 01:58:37] mlp: initialized 1482 parameters.
[2021-03-15 01:58:37] Creating trainer with model on device: cuda
[2021-03-15 01:58:37] Training mlp across 50 data points in blobsthin...
[2021-03-15 01:58:38] Training loss: 0.9258
[2021-03-15 01:58:38] Testing on 5000 data points...
[2021-03-15 01:58:38] Test accuracy: 0.5000
[2021-03-15 01:58:38] Score for 50 labels: 0.5000
[2021-03-15 01:58:38] Showing labelled: False (4950/5000 visible)
[2021-03-15 01:58:38] Found 4950 unlabelled features.
[2021-03-15 01:58:38] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:38] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:38] Scoring random batches...
[2021-03-15 01:58:38] Showing labelled: True (70/5000 visible)
[2021-03-15 01:58:38] Training mlp across 70 data points in blobsthin...
[2021-03-15 01:58:39] Training loss: 0.4485
[2021-03-15 01:58:39] Testing on 5000 data points...
[2021-03-15 01:58:39] Test accuracy: 0.6000
[2021-03-15 01:58:39] Score for 70 labels: 0.6000
[2021-03-15 01:58:39] Showing labelled: False (4930/5000 visible)
[2021-03-15 01:58:39] Found 4930 unlabelled features.
[2021-03-15 01:58:39] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:39] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:40] Scoring random batches...
[2021-03-15 01:58:40] Showing labelled: True (90/5000 visible)
[2021-03-15 01:58:40] Training mlp across 90 data points in blobsthin...
[2021-03-15 01:58:40] Training loss: 0.3508
[2021-03-15 01:58:40] Testing on 5000 data points...
[2021-03-15 01:58:40] Test accuracy: 0.6924
[2021-03-15 01:58:40] Score for 90 labels: 0.6924
[2021-03-15 01:58:40] Showing labelled: False (4910/5000 visible)
[2021-03-15 01:58:40] Found 4910 unlabelled features.
[2021-03-15 01:58:41] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:41] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:41] Scoring random batches...
[2021-03-15 01:58:41] Showing labelled: True (110/5000 visible)
[2021-03-15 01:58:41] Training mlp across 110 data points in blobsthin...
[2021-03-15 01:58:42] Training loss: 0.2190
[2021-03-15 01:58:42] Testing on 5000 data points...
[2021-03-15 01:58:42] Test accuracy: 0.7120
[2021-03-15 01:58:42] Score for 110 labels: 0.7120
[2021-03-15 01:58:42] Showing labelled: False (4890/5000 visible)
[2021-03-15 01:58:42] Found 4890 unlabelled features.
[2021-03-15 01:58:42] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:42] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:43] Scoring random batches...
[2021-03-15 01:58:43] Showing labelled: True (130/5000 visible)
[2021-03-15 01:58:43] Training mlp across 130 data points in blobsthin...
[2021-03-15 01:58:44] Training loss: 0.1388
[2021-03-15 01:58:44] Testing on 5000 data points...
[2021-03-15 01:58:44] Test accuracy: 0.8280
[2021-03-15 01:58:44] Score for 130 labels: 0.8280
[2021-03-15 01:58:44] Showing labelled: False (4870/5000 visible)
[2021-03-15 01:58:44] Found 4870 unlabelled features.
[2021-03-15 01:58:44] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:44] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:45] Scoring random batches...
[2021-03-15 01:58:45] Showing labelled: True (150/5000 visible)
[2021-03-15 01:58:45] Training mlp across 150 data points in blobsthin...
[2021-03-15 01:58:46] Training loss: 0.1335
[2021-03-15 01:58:46] Testing on 5000 data points...
[2021-03-15 01:58:46] Test accuracy: 0.9648
[2021-03-15 01:58:46] Score for 150 labels: 0.9648
[2021-03-15 01:58:46] Showing labelled: False (4850/5000 visible)
[2021-03-15 01:58:46] Found 4850 unlabelled features.
[2021-03-15 01:58:46] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:46] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:47] Scoring random batches...
[2021-03-15 01:58:47] Showing labelled: True (170/5000 visible)
[2021-03-15 01:58:47] Training mlp across 170 data points in blobsthin...
[2021-03-15 01:58:48] Training loss: 0.0696
[2021-03-15 01:58:48] Testing on 5000 data points...
[2021-03-15 01:58:48] Test accuracy: 0.9864
[2021-03-15 01:58:48] Score for 170 labels: 0.9864
[2021-03-15 01:58:48] Showing labelled: False (4830/5000 visible)
[2021-03-15 01:58:48] Found 4830 unlabelled features.
[2021-03-15 01:58:48] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:48] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:49] Scoring random batches...
[2021-03-15 01:58:49] Showing labelled: True (190/5000 visible)
[2021-03-15 01:58:49] Training mlp across 190 data points in blobsthin...
[2021-03-15 01:58:50] Training loss: 0.0458
[2021-03-15 01:58:50] Testing on 5000 data points...
[2021-03-15 01:58:50] Test accuracy: 0.9896
[2021-03-15 01:58:50] Score for 190 labels: 0.9896
[2021-03-15 01:58:50] Showing labelled: False (4810/5000 visible)
[2021-03-15 01:58:50] Found 4810 unlabelled features.
[2021-03-15 01:58:50] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:50] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:51] Scoring random batches...
[2021-03-15 01:58:51] Showing labelled: True (210/5000 visible)
[2021-03-15 01:58:51] Training mlp across 210 data points in blobsthin...
[2021-03-15 01:58:52] Training loss: 0.0313
[2021-03-15 01:58:52] Testing on 5000 data points...
[2021-03-15 01:58:52] Test accuracy: 0.9928
[2021-03-15 01:58:52] Score for 210 labels: 0.9928
[2021-03-15 01:58:52] Showing labelled: False (4790/5000 visible)
[2021-03-15 01:58:52] Found 4790 unlabelled features.
[2021-03-15 01:58:52] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:52] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:53] Scoring random batches...
[2021-03-15 01:58:53] Showing labelled: True (230/5000 visible)
[2021-03-15 01:58:53] Training mlp across 230 data points in blobsthin...
[2021-03-15 01:58:54] Training loss: 0.0208
[2021-03-15 01:58:54] Testing on 5000 data points...
[2021-03-15 01:58:54] Test accuracy: 0.9940
[2021-03-15 01:58:54] Score for 230 labels: 0.9940
[2021-03-15 01:58:54] Showing labelled: False (4770/5000 visible)
[2021-03-15 01:58:54] Found 4770 unlabelled features.
[2021-03-15 01:58:54] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:54] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:55] Scoring random batches...
[2021-03-15 01:58:55] Showing labelled: True (250/5000 visible)
[2021-03-15 01:58:55] Training mlp across 250 data points in blobsthin...
[2021-03-15 01:58:57] Training loss: 0.0153
[2021-03-15 01:58:57] Testing on 5000 data points...
[2021-03-15 01:58:57] Test accuracy: 0.9942
[2021-03-15 01:58:57] Score for 250 labels: 0.9942
[2021-03-15 01:58:57] Showing labelled: False (4750/5000 visible)
[2021-03-15 01:58:57] Found 4750 unlabelled features.
[2021-03-15 01:58:57] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:57] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:58:57] Scoring random batches...
[2021-03-15 01:58:57] Showing labelled: True (270/5000 visible)
[2021-03-15 01:58:57] Training mlp across 270 data points in blobsthin...
[2021-03-15 01:58:59] Training loss: 0.0119
[2021-03-15 01:58:59] Testing on 5000 data points...
[2021-03-15 01:58:59] Test accuracy: 0.9944
[2021-03-15 01:58:59] Score for 270 labels: 0.9944
[2021-03-15 01:58:59] Showing labelled: False (4730/5000 visible)
[2021-03-15 01:58:59] Found 4730 unlabelled features.
[2021-03-15 01:58:59] Training GMM (k=32) on labelled features...
[2021-03-15 01:58:59] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:00] Scoring random batches...
[2021-03-15 01:59:00] Showing labelled: True (290/5000 visible)
[2021-03-15 01:59:00] Training mlp across 290 data points in blobsthin...
[2021-03-15 01:59:02] Training loss: 0.0088
[2021-03-15 01:59:02] Testing on 5000 data points...
[2021-03-15 01:59:02] Test accuracy: 0.9944
[2021-03-15 01:59:02] Score for 290 labels: 0.9944
[2021-03-15 01:59:02] Showing labelled: False (4710/5000 visible)
[2021-03-15 01:59:02] Found 4710 unlabelled features.
[2021-03-15 01:59:02] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:02] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:02] Scoring random batches...
[2021-03-15 01:59:02] Showing labelled: True (310/5000 visible)
[2021-03-15 01:59:02] Training mlp across 310 data points in blobsthin...
[2021-03-15 01:59:04] Training loss: 0.0071
[2021-03-15 01:59:04] Testing on 5000 data points...
[2021-03-15 01:59:04] Test accuracy: 0.9946
[2021-03-15 01:59:04] Score for 310 labels: 0.9946
[2021-03-15 01:59:04] Experiment repeat 5/5
[2021-03-15 01:59:04] Randomly labelled 50/5000
[2021-03-15 01:59:04] Showing labelled: True (50/5000 visible)
[2021-03-15 01:59:04] Running: experiment 0
[2021-03-15 01:59:04] Showing labelled: True (50/5000 visible)
[2021-03-15 01:59:04] mlp: initialized 1482 parameters.
[2021-03-15 01:59:04] Creating trainer with model on device: cuda
[2021-03-15 01:59:04] Training mlp across 50 data points in blobsthin...
[2021-03-15 01:59:05] Training loss: 1.3288
[2021-03-15 01:59:05] Testing on 5000 data points...
[2021-03-15 01:59:05] Test accuracy: 0.5000
[2021-03-15 01:59:05] Score for 50 labels: 0.5000
[2021-03-15 01:59:05] Showing labelled: False (4950/5000 visible)
[2021-03-15 01:59:05] Found 4950 unlabelled features.
[2021-03-15 01:59:05] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:05] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:06] Scoring random batches...
[2021-03-15 01:59:06] Showing labelled: True (70/5000 visible)
[2021-03-15 01:59:06] Training mlp across 70 data points in blobsthin...
[2021-03-15 01:59:06] Training loss: 0.5618
[2021-03-15 01:59:06] Testing on 5000 data points...
[2021-03-15 01:59:06] Test accuracy: 0.6848
[2021-03-15 01:59:06] Score for 70 labels: 0.6848
[2021-03-15 01:59:06] Showing labelled: False (4930/5000 visible)
[2021-03-15 01:59:06] Found 4930 unlabelled features.
[2021-03-15 01:59:06] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:06] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:07] Scoring random batches...
[2021-03-15 01:59:07] Showing labelled: True (90/5000 visible)
[2021-03-15 01:59:07] Training mlp across 90 data points in blobsthin...
[2021-03-15 01:59:08] Training loss: 0.2679
[2021-03-15 01:59:08] Testing on 5000 data points...
[2021-03-15 01:59:08] Test accuracy: 0.7004
[2021-03-15 01:59:08] Score for 90 labels: 0.7004
[2021-03-15 01:59:08] Showing labelled: False (4910/5000 visible)
[2021-03-15 01:59:08] Found 4910 unlabelled features.
[2021-03-15 01:59:08] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:08] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:08] Scoring random batches...
[2021-03-15 01:59:08] Showing labelled: True (110/5000 visible)
[2021-03-15 01:59:08] Training mlp across 110 data points in blobsthin...
[2021-03-15 01:59:09] Training loss: 0.1856
[2021-03-15 01:59:09] Testing on 5000 data points...
[2021-03-15 01:59:09] Test accuracy: 0.8618
[2021-03-15 01:59:09] Score for 110 labels: 0.8618
[2021-03-15 01:59:09] Showing labelled: False (4890/5000 visible)
[2021-03-15 01:59:09] Found 4890 unlabelled features.
[2021-03-15 01:59:09] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:09] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:10] Scoring random batches...
[2021-03-15 01:59:10] Showing labelled: True (130/5000 visible)
[2021-03-15 01:59:10] Training mlp across 130 data points in blobsthin...
[2021-03-15 01:59:11] Training loss: 0.1069
[2021-03-15 01:59:11] Testing on 5000 data points...
[2021-03-15 01:59:11] Test accuracy: 0.8986
[2021-03-15 01:59:11] Score for 130 labels: 0.8986
[2021-03-15 01:59:11] Showing labelled: False (4870/5000 visible)
[2021-03-15 01:59:11] Found 4870 unlabelled features.
[2021-03-15 01:59:11] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:11] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:11] Scoring random batches...
[2021-03-15 01:59:11] Showing labelled: True (150/5000 visible)
[2021-03-15 01:59:11] Training mlp across 150 data points in blobsthin...
[2021-03-15 01:59:12] Training loss: 0.0708
[2021-03-15 01:59:12] Testing on 5000 data points...
[2021-03-15 01:59:12] Test accuracy: 0.8998
[2021-03-15 01:59:12] Score for 150 labels: 0.8998
[2021-03-15 01:59:12] Showing labelled: False (4850/5000 visible)
[2021-03-15 01:59:12] Found 4850 unlabelled features.
[2021-03-15 01:59:13] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:13] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:13] Scoring random batches...
[2021-03-15 01:59:13] Showing labelled: True (170/5000 visible)
[2021-03-15 01:59:13] Training mlp across 170 data points in blobsthin...
[2021-03-15 01:59:14] Training loss: 0.0498
[2021-03-15 01:59:14] Testing on 5000 data points...
[2021-03-15 01:59:14] Test accuracy: 0.9162
[2021-03-15 01:59:14] Score for 170 labels: 0.9162
[2021-03-15 01:59:14] Showing labelled: False (4830/5000 visible)
[2021-03-15 01:59:14] Found 4830 unlabelled features.
[2021-03-15 01:59:14] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:14] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:15] Scoring random batches...
[2021-03-15 01:59:15] Showing labelled: True (190/5000 visible)
[2021-03-15 01:59:15] Training mlp across 190 data points in blobsthin...
[2021-03-15 01:59:16] Training loss: 0.0363
[2021-03-15 01:59:16] Testing on 5000 data points...
[2021-03-15 01:59:16] Test accuracy: 0.9464
[2021-03-15 01:59:16] Score for 190 labels: 0.9464
[2021-03-15 01:59:16] Showing labelled: False (4810/5000 visible)
[2021-03-15 01:59:16] Found 4810 unlabelled features.
[2021-03-15 01:59:16] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:16] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:17] Scoring random batches...
[2021-03-15 01:59:17] Showing labelled: True (210/5000 visible)
[2021-03-15 01:59:17] Training mlp across 210 data points in blobsthin...
[2021-03-15 01:59:18] Training loss: 0.0309
[2021-03-15 01:59:18] Testing on 5000 data points...
[2021-03-15 01:59:18] Test accuracy: 0.9828
[2021-03-15 01:59:18] Score for 210 labels: 0.9828
[2021-03-15 01:59:18] Showing labelled: False (4790/5000 visible)
[2021-03-15 01:59:18] Found 4790 unlabelled features.
[2021-03-15 01:59:18] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:18] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:19] Scoring random batches...
[2021-03-15 01:59:19] Showing labelled: True (230/5000 visible)
[2021-03-15 01:59:19] Training mlp across 230 data points in blobsthin...
[2021-03-15 01:59:20] Training loss: 0.0224
[2021-03-15 01:59:20] Testing on 5000 data points...
[2021-03-15 01:59:20] Test accuracy: 0.9832
[2021-03-15 01:59:20] Score for 230 labels: 0.9832
[2021-03-15 01:59:20] Showing labelled: False (4770/5000 visible)
[2021-03-15 01:59:20] Found 4770 unlabelled features.
[2021-03-15 01:59:20] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:21] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:21] Scoring random batches...
[2021-03-15 01:59:21] Showing labelled: True (250/5000 visible)
[2021-03-15 01:59:21] Training mlp across 250 data points in blobsthin...
[2021-03-15 01:59:23] Training loss: 0.0182
[2021-03-15 01:59:23] Testing on 5000 data points...
[2021-03-15 01:59:23] Test accuracy: 0.9868
[2021-03-15 01:59:23] Score for 250 labels: 0.9868
[2021-03-15 01:59:23] Showing labelled: False (4750/5000 visible)
[2021-03-15 01:59:23] Found 4750 unlabelled features.
[2021-03-15 01:59:23] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:23] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:24] Scoring random batches...
[2021-03-15 01:59:24] Showing labelled: True (270/5000 visible)
[2021-03-15 01:59:24] Training mlp across 270 data points in blobsthin...
[2021-03-15 01:59:25] Training loss: 0.0177
[2021-03-15 01:59:25] Testing on 5000 data points...
[2021-03-15 01:59:25] Test accuracy: 0.9918
[2021-03-15 01:59:25] Score for 270 labels: 0.9918
[2021-03-15 01:59:25] Showing labelled: False (4730/5000 visible)
[2021-03-15 01:59:25] Found 4730 unlabelled features.
[2021-03-15 01:59:25] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:25] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:26] Scoring random batches...
[2021-03-15 01:59:26] Showing labelled: True (290/5000 visible)
[2021-03-15 01:59:26] Training mlp across 290 data points in blobsthin...
[2021-03-15 01:59:28] Training loss: 0.0140
[2021-03-15 01:59:28] Testing on 5000 data points...
[2021-03-15 01:59:28] Test accuracy: 0.9926
[2021-03-15 01:59:28] Score for 290 labels: 0.9926
[2021-03-15 01:59:28] Showing labelled: False (4710/5000 visible)
[2021-03-15 01:59:28] Found 4710 unlabelled features.
[2021-03-15 01:59:28] Training GMM (k=32) on labelled features...
[2021-03-15 01:59:28] Training GMM (k=32) on unlabelled features...
[2021-03-15 01:59:29] Scoring random batches...
[2021-03-15 01:59:29] Showing labelled: True (310/5000 visible)
[2021-03-15 01:59:29] Training mlp across 310 data points in blobsthin...
[2021-03-15 01:59:31] Training loss: 0.0114
[2021-03-15 01:59:31] Testing on 5000 data points...
[2021-03-15 01:59:31] Test accuracy: 0.9920
[2021-03-15 01:59:31] Score for 310 labels: 0.9920
[2021-03-15 01:59:31] Updated results: ../results/mine_pcoreset/results.json
