[2021-03-16 01:59:19] Seeded: 5
[2021-03-16 01:59:19] Created experiment 0:
[2021-03-16 01:59:19]  - Model: mlp
[2021-03-16 01:59:19]  - Acquisition function: p-coreset
[2021-03-16 01:59:19] Loading blobsthin test set...
[2021-03-16 01:59:19] Generated 5000 blobs:
[2021-03-16 01:59:19] Class 0: 200
[2021-03-16 01:59:19] Class 1: 300
[2021-03-16 01:59:19] Class 2: 1000
[2021-03-16 01:59:19] Class 3: 100
[2021-03-16 01:59:19] Class 4: 50
[2021-03-16 01:59:19] Class 5: 200
[2021-03-16 01:59:19] Class 6: 400
[2021-03-16 01:59:19] Class 7: 1800
[2021-03-16 01:59:19] Class 8: 50
[2021-03-16 01:59:19] Class 9: 900
[2021-03-16 01:59:20] Saved figure to: ../data/blobsthin_data.png
[2021-03-16 01:59:20] Generated 5000 test points.
[2021-03-16 01:59:20] Saved figure to: ../data/blobsthin_test.png
[2021-03-16 01:59:20] Experiment repeat 1/4
[2021-03-16 01:59:20] Randomly labelled 50/5000
[2021-03-16 01:59:20] Showing labelled: True (50/5000 visible)
[2021-03-16 01:59:20] Running: experiment 0
[2021-03-16 01:59:20] Showing labelled: True (50/5000 visible)
[2021-03-16 01:59:20] mlp: initialized 1482 parameters.
[2021-03-16 01:59:20] Creating trainer with model on device: cuda
[2021-03-16 01:59:25] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:59:25] Training loss: 1.5627
[2021-03-16 01:59:25] Testing on 5000 data points...
[2021-03-16 01:59:25] Test accuracy: 0.5000
[2021-03-16 01:59:25] Score for 50 labels: 0.5000
[2021-03-16 01:59:25] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:59:25] Found 4950 unlabelled features.
[2021-03-16 01:59:25] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:25] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:26] Scoring random batches...
[2021-03-16 01:59:26] Showing labelled: True (75/5000 visible)
[2021-03-16 01:59:26] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:59:26] Training loss: 0.5950
[2021-03-16 01:59:26] Testing on 5000 data points...
[2021-03-16 01:59:26] Test accuracy: 0.5992
[2021-03-16 01:59:26] Score for 75 labels: 0.5992
[2021-03-16 01:59:26] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:59:26] Found 4925 unlabelled features.
[2021-03-16 01:59:26] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:26] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:27] Scoring random batches...
[2021-03-16 01:59:27] Showing labelled: True (100/5000 visible)
[2021-03-16 01:59:27] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:59:28] Training loss: 0.3169
[2021-03-16 01:59:28] Testing on 5000 data points...
[2021-03-16 01:59:28] Test accuracy: 0.6926
[2021-03-16 01:59:28] Score for 100 labels: 0.6926
[2021-03-16 01:59:28] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:59:28] Found 4900 unlabelled features.
[2021-03-16 01:59:28] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:28] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:28] Scoring random batches...
[2021-03-16 01:59:28] Showing labelled: True (125/5000 visible)
[2021-03-16 01:59:28] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:59:29] Training loss: 0.2542
[2021-03-16 01:59:29] Testing on 5000 data points...
[2021-03-16 01:59:29] Test accuracy: 0.6940
[2021-03-16 01:59:29] Score for 125 labels: 0.6940
[2021-03-16 01:59:29] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:59:29] Found 4875 unlabelled features.
[2021-03-16 01:59:29] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:30] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:30] Scoring random batches...
[2021-03-16 01:59:30] Showing labelled: True (150/5000 visible)
[2021-03-16 01:59:30] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:59:31] Training loss: 0.1641
[2021-03-16 01:59:31] Testing on 5000 data points...
[2021-03-16 01:59:31] Test accuracy: 0.8388
[2021-03-16 01:59:31] Score for 150 labels: 0.8388
[2021-03-16 01:59:31] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:59:31] Found 4850 unlabelled features.
[2021-03-16 01:59:31] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:31] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:32] Scoring random batches...
[2021-03-16 01:59:32] Showing labelled: True (175/5000 visible)
[2021-03-16 01:59:32] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:59:33] Training loss: 0.1037
[2021-03-16 01:59:33] Testing on 5000 data points...
[2021-03-16 01:59:33] Test accuracy: 0.9874
[2021-03-16 01:59:33] Score for 175 labels: 0.9874
[2021-03-16 01:59:33] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:59:33] Found 4825 unlabelled features.
[2021-03-16 01:59:33] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:33] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:34] Scoring random batches...
[2021-03-16 01:59:34] Showing labelled: True (200/5000 visible)
[2021-03-16 01:59:34] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:59:35] Training loss: 0.0625
[2021-03-16 01:59:35] Testing on 5000 data points...
[2021-03-16 01:59:35] Test accuracy: 0.9916
[2021-03-16 01:59:35] Score for 200 labels: 0.9916
[2021-03-16 01:59:35] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:59:35] Found 4800 unlabelled features.
[2021-03-16 01:59:35] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:35] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:36] Scoring random batches...
[2021-03-16 01:59:36] Showing labelled: True (225/5000 visible)
[2021-03-16 01:59:36] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:59:37] Training loss: 0.0394
[2021-03-16 01:59:37] Testing on 5000 data points...
[2021-03-16 01:59:37] Test accuracy: 0.9930
[2021-03-16 01:59:37] Score for 225 labels: 0.9930
[2021-03-16 01:59:37] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:59:37] Found 4775 unlabelled features.
[2021-03-16 01:59:37] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:38] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:38] Scoring random batches...
[2021-03-16 01:59:38] Showing labelled: True (250/5000 visible)
[2021-03-16 01:59:38] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:59:40] Training loss: 0.0267
[2021-03-16 01:59:40] Testing on 5000 data points...
[2021-03-16 01:59:40] Test accuracy: 0.9942
[2021-03-16 01:59:40] Score for 250 labels: 0.9942
[2021-03-16 01:59:40] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:59:40] Found 4750 unlabelled features.
[2021-03-16 01:59:40] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:40] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:41] Scoring random batches...
[2021-03-16 01:59:41] Showing labelled: True (275/5000 visible)
[2021-03-16 01:59:41] Training mlp across 275 data points in blobsthin...
[2021-03-16 01:59:43] Training loss: 0.0207
[2021-03-16 01:59:43] Testing on 5000 data points...
[2021-03-16 01:59:43] Test accuracy: 0.9964
[2021-03-16 01:59:43] Score for 275 labels: 0.9964
[2021-03-16 01:59:43] Showing labelled: False (4725/5000 visible)
[2021-03-16 01:59:43] Found 4725 unlabelled features.
[2021-03-16 01:59:43] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:43] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:43] Scoring random batches...
[2021-03-16 01:59:43] Showing labelled: True (300/5000 visible)
[2021-03-16 01:59:43] Training mlp across 300 data points in blobsthin...
[2021-03-16 01:59:45] Training loss: 0.0156
[2021-03-16 01:59:45] Testing on 5000 data points...
[2021-03-16 01:59:45] Test accuracy: 0.9966
[2021-03-16 01:59:45] Score for 300 labels: 0.9966
[2021-03-16 01:59:45] Experiment repeat 2/4
[2021-03-16 01:59:45] Randomly labelled 50/5000
[2021-03-16 01:59:45] Showing labelled: True (50/5000 visible)
[2021-03-16 01:59:45] Running: experiment 0
[2021-03-16 01:59:45] Showing labelled: True (50/5000 visible)
[2021-03-16 01:59:45] mlp: initialized 1482 parameters.
[2021-03-16 01:59:45] Creating trainer with model on device: cuda
[2021-03-16 01:59:45] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:59:45] Training loss: 1.0902
[2021-03-16 01:59:45] Testing on 5000 data points...
[2021-03-16 01:59:45] Test accuracy: 0.4944
[2021-03-16 01:59:45] Score for 50 labels: 0.4944
[2021-03-16 01:59:45] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:59:45] Found 4950 unlabelled features.
[2021-03-16 01:59:45] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:45] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:46] Scoring random batches...
[2021-03-16 01:59:46] Showing labelled: True (75/5000 visible)
[2021-03-16 01:59:46] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:59:46] Training loss: 0.5003
[2021-03-16 01:59:46] Testing on 5000 data points...
[2021-03-16 01:59:46] Test accuracy: 0.6000
[2021-03-16 01:59:46] Score for 75 labels: 0.6000
[2021-03-16 01:59:46] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:59:46] Found 4925 unlabelled features.
[2021-03-16 01:59:46] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:46] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:47] Scoring random batches...
[2021-03-16 01:59:47] Showing labelled: True (100/5000 visible)
[2021-03-16 01:59:47] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:59:47] Training loss: 0.3740
[2021-03-16 01:59:47] Testing on 5000 data points...
[2021-03-16 01:59:47] Test accuracy: 0.6004
[2021-03-16 01:59:47] Score for 100 labels: 0.6004
[2021-03-16 01:59:47] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:59:47] Found 4900 unlabelled features.
[2021-03-16 01:59:48] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:48] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:48] Scoring random batches...
[2021-03-16 01:59:48] Showing labelled: True (125/5000 visible)
[2021-03-16 01:59:48] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:59:49] Training loss: 0.2170
[2021-03-16 01:59:49] Testing on 5000 data points...
[2021-03-16 01:59:49] Test accuracy: 0.8186
[2021-03-16 01:59:49] Score for 125 labels: 0.8186
[2021-03-16 01:59:49] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:59:49] Found 4875 unlabelled features.
[2021-03-16 01:59:49] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:49] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:49] Scoring random batches...
[2021-03-16 01:59:49] Showing labelled: True (150/5000 visible)
[2021-03-16 01:59:49] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:59:50] Training loss: 0.1411
[2021-03-16 01:59:50] Testing on 5000 data points...
[2021-03-16 01:59:50] Test accuracy: 0.8836
[2021-03-16 01:59:50] Score for 150 labels: 0.8836
[2021-03-16 01:59:50] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:59:50] Found 4850 unlabelled features.
[2021-03-16 01:59:50] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:50] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:51] Scoring random batches...
[2021-03-16 01:59:51] Showing labelled: True (175/5000 visible)
[2021-03-16 01:59:51] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:59:52] Training loss: 0.0810
[2021-03-16 01:59:52] Testing on 5000 data points...
[2021-03-16 01:59:52] Test accuracy: 0.9922
[2021-03-16 01:59:52] Score for 175 labels: 0.9922
[2021-03-16 01:59:52] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:59:52] Found 4825 unlabelled features.
[2021-03-16 01:59:52] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:52] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:53] Scoring random batches...
[2021-03-16 01:59:53] Showing labelled: True (200/5000 visible)
[2021-03-16 01:59:53] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:59:54] Training loss: 0.0485
[2021-03-16 01:59:54] Testing on 5000 data points...
[2021-03-16 01:59:54] Test accuracy: 0.9936
[2021-03-16 01:59:54] Score for 200 labels: 0.9936
[2021-03-16 01:59:54] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:59:54] Found 4800 unlabelled features.
[2021-03-16 01:59:54] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:54] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:55] Scoring random batches...
[2021-03-16 01:59:55] Showing labelled: True (225/5000 visible)
[2021-03-16 01:59:55] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:59:56] Training loss: 0.0301
[2021-03-16 01:59:56] Testing on 5000 data points...
[2021-03-16 01:59:56] Test accuracy: 0.9948
[2021-03-16 01:59:56] Score for 225 labels: 0.9948
[2021-03-16 01:59:56] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:59:56] Found 4775 unlabelled features.
[2021-03-16 01:59:56] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:56] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:57] Scoring random batches...
[2021-03-16 01:59:57] Showing labelled: True (250/5000 visible)
[2021-03-16 01:59:57] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:59:58] Training loss: 0.0199
[2021-03-16 01:59:58] Testing on 5000 data points...
[2021-03-16 01:59:58] Test accuracy: 0.9948
[2021-03-16 01:59:58] Score for 250 labels: 0.9948
[2021-03-16 01:59:58] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:59:58] Found 4750 unlabelled features.
[2021-03-16 01:59:58] Training GMM (k=50) on labelled features...
[2021-03-16 01:59:58] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:59:59] Scoring random batches...
[2021-03-16 01:59:59] Showing labelled: True (275/5000 visible)
[2021-03-16 01:59:59] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:00:00] Training loss: 0.0146
[2021-03-16 02:00:00] Testing on 5000 data points...
[2021-03-16 02:00:00] Test accuracy: 0.9948
[2021-03-16 02:00:00] Score for 275 labels: 0.9948
[2021-03-16 02:00:00] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:00:00] Found 4725 unlabelled features.
[2021-03-16 02:00:00] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:01] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:01] Scoring random batches...
[2021-03-16 02:00:01] Showing labelled: True (300/5000 visible)
[2021-03-16 02:00:01] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:00:03] Training loss: 0.0110
[2021-03-16 02:00:03] Testing on 5000 data points...
[2021-03-16 02:00:03] Test accuracy: 0.9948
[2021-03-16 02:00:03] Score for 300 labels: 0.9948
[2021-03-16 02:00:03] Experiment repeat 3/4
[2021-03-16 02:00:03] Randomly labelled 50/5000
[2021-03-16 02:00:03] Showing labelled: True (50/5000 visible)
[2021-03-16 02:00:03] Running: experiment 0
[2021-03-16 02:00:03] Showing labelled: True (50/5000 visible)
[2021-03-16 02:00:03] mlp: initialized 1482 parameters.
[2021-03-16 02:00:03] Creating trainer with model on device: cuda
[2021-03-16 02:00:03] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:00:03] Training loss: 1.2947
[2021-03-16 02:00:03] Testing on 5000 data points...
[2021-03-16 02:00:03] Test accuracy: 0.5506
[2021-03-16 02:00:03] Score for 50 labels: 0.5506
[2021-03-16 02:00:03] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:00:03] Found 4950 unlabelled features.
[2021-03-16 02:00:03] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:03] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:04] Scoring random batches...
[2021-03-16 02:00:04] Showing labelled: True (75/5000 visible)
[2021-03-16 02:00:04] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:00:04] Training loss: 0.6608
[2021-03-16 02:00:04] Testing on 5000 data points...
[2021-03-16 02:00:04] Test accuracy: 0.6602
[2021-03-16 02:00:04] Score for 75 labels: 0.6602
[2021-03-16 02:00:04] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:00:04] Found 4925 unlabelled features.
[2021-03-16 02:00:04] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:05] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:05] Scoring random batches...
[2021-03-16 02:00:05] Showing labelled: True (100/5000 visible)
[2021-03-16 02:00:05] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:00:06] Training loss: 0.3460
[2021-03-16 02:00:06] Testing on 5000 data points...
[2021-03-16 02:00:06] Test accuracy: 0.8944
[2021-03-16 02:00:06] Score for 100 labels: 0.8944
[2021-03-16 02:00:06] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:00:06] Found 4900 unlabelled features.
[2021-03-16 02:00:06] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:06] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:06] Scoring random batches...
[2021-03-16 02:00:06] Showing labelled: True (125/5000 visible)
[2021-03-16 02:00:06] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:00:07] Training loss: 0.2082
[2021-03-16 02:00:07] Testing on 5000 data points...
[2021-03-16 02:00:07] Test accuracy: 0.8992
[2021-03-16 02:00:07] Score for 125 labels: 0.8992
[2021-03-16 02:00:07] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:00:07] Found 4875 unlabelled features.
[2021-03-16 02:00:07] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:07] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:08] Scoring random batches...
[2021-03-16 02:00:08] Showing labelled: True (150/5000 visible)
[2021-03-16 02:00:08] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:00:09] Training loss: 0.1325
[2021-03-16 02:00:09] Testing on 5000 data points...
[2021-03-16 02:00:09] Test accuracy: 0.9000
[2021-03-16 02:00:09] Score for 150 labels: 0.9000
[2021-03-16 02:00:09] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:00:09] Found 4850 unlabelled features.
[2021-03-16 02:00:09] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:09] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:09] Scoring random batches...
[2021-03-16 02:00:09] Showing labelled: True (175/5000 visible)
[2021-03-16 02:00:09] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:00:10] Training loss: 0.1123
[2021-03-16 02:00:10] Testing on 5000 data points...
[2021-03-16 02:00:10] Test accuracy: 0.9500
[2021-03-16 02:00:10] Score for 175 labels: 0.9500
[2021-03-16 02:00:10] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:00:10] Found 4825 unlabelled features.
[2021-03-16 02:00:11] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:11] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:11] Scoring random batches...
[2021-03-16 02:00:11] Showing labelled: True (200/5000 visible)
[2021-03-16 02:00:11] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:00:12] Training loss: 0.0852
[2021-03-16 02:00:12] Testing on 5000 data points...
[2021-03-16 02:00:12] Test accuracy: 0.9790
[2021-03-16 02:00:12] Score for 200 labels: 0.9790
[2021-03-16 02:00:12] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:00:12] Found 4800 unlabelled features.
[2021-03-16 02:00:12] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:13] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:13] Scoring random batches...
[2021-03-16 02:00:13] Showing labelled: True (225/5000 visible)
[2021-03-16 02:00:13] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:00:14] Training loss: 0.0583
[2021-03-16 02:00:14] Testing on 5000 data points...
[2021-03-16 02:00:14] Test accuracy: 0.9858
[2021-03-16 02:00:14] Score for 225 labels: 0.9858
[2021-03-16 02:00:14] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:00:14] Found 4775 unlabelled features.
[2021-03-16 02:00:14] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:15] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:15] Scoring random batches...
[2021-03-16 02:00:15] Showing labelled: True (250/5000 visible)
[2021-03-16 02:00:15] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:00:16] Training loss: 0.0443
[2021-03-16 02:00:16] Testing on 5000 data points...
[2021-03-16 02:00:16] Test accuracy: 0.9936
[2021-03-16 02:00:16] Score for 250 labels: 0.9936
[2021-03-16 02:00:16] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:00:16] Found 4750 unlabelled features.
[2021-03-16 02:00:16] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:17] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:17] Scoring random batches...
[2021-03-16 02:00:17] Showing labelled: True (275/5000 visible)
[2021-03-16 02:00:17] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:00:19] Training loss: 0.0321
[2021-03-16 02:00:19] Testing on 5000 data points...
[2021-03-16 02:00:19] Test accuracy: 0.9958
[2021-03-16 02:00:19] Score for 275 labels: 0.9958
[2021-03-16 02:00:19] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:00:19] Found 4725 unlabelled features.
[2021-03-16 02:00:19] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:19] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:19] Scoring random batches...
[2021-03-16 02:00:19] Showing labelled: True (300/5000 visible)
[2021-03-16 02:00:19] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:00:21] Training loss: 0.0237
[2021-03-16 02:00:21] Testing on 5000 data points...
[2021-03-16 02:00:21] Test accuracy: 0.9958
[2021-03-16 02:00:21] Score for 300 labels: 0.9958
[2021-03-16 02:00:21] Experiment repeat 4/4
[2021-03-16 02:00:21] Randomly labelled 50/5000
[2021-03-16 02:00:21] Showing labelled: True (50/5000 visible)
[2021-03-16 02:00:21] Running: experiment 0
[2021-03-16 02:00:21] Showing labelled: True (50/5000 visible)
[2021-03-16 02:00:21] mlp: initialized 1482 parameters.
[2021-03-16 02:00:21] Creating trainer with model on device: cuda
[2021-03-16 02:00:21] Training mlp across 50 data points in blobsthin...
[2021-03-16 02:00:21] Training loss: 1.1735
[2021-03-16 02:00:21] Testing on 5000 data points...
[2021-03-16 02:00:21] Test accuracy: 0.6846
[2021-03-16 02:00:21] Score for 50 labels: 0.6846
[2021-03-16 02:00:21] Showing labelled: False (4950/5000 visible)
[2021-03-16 02:00:21] Found 4950 unlabelled features.
[2021-03-16 02:00:21] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:21] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:22] Scoring random batches...
[2021-03-16 02:00:22] Showing labelled: True (75/5000 visible)
[2021-03-16 02:00:22] Training mlp across 75 data points in blobsthin...
[2021-03-16 02:00:22] Training loss: 0.5626
[2021-03-16 02:00:22] Testing on 5000 data points...
[2021-03-16 02:00:22] Test accuracy: 0.7444
[2021-03-16 02:00:22] Score for 75 labels: 0.7444
[2021-03-16 02:00:22] Showing labelled: False (4925/5000 visible)
[2021-03-16 02:00:22] Found 4925 unlabelled features.
[2021-03-16 02:00:22] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:22] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:23] Scoring random batches...
[2021-03-16 02:00:23] Showing labelled: True (100/5000 visible)
[2021-03-16 02:00:23] Training mlp across 100 data points in blobsthin...
[2021-03-16 02:00:23] Training loss: 0.2888
[2021-03-16 02:00:23] Testing on 5000 data points...
[2021-03-16 02:00:23] Test accuracy: 0.8874
[2021-03-16 02:00:23] Score for 100 labels: 0.8874
[2021-03-16 02:00:23] Showing labelled: False (4900/5000 visible)
[2021-03-16 02:00:23] Found 4900 unlabelled features.
[2021-03-16 02:00:24] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:24] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:24] Scoring random batches...
[2021-03-16 02:00:24] Showing labelled: True (125/5000 visible)
[2021-03-16 02:00:24] Training mlp across 125 data points in blobsthin...
[2021-03-16 02:00:25] Training loss: 0.1593
[2021-03-16 02:00:25] Testing on 5000 data points...
[2021-03-16 02:00:25] Test accuracy: 0.8996
[2021-03-16 02:00:25] Score for 125 labels: 0.8996
[2021-03-16 02:00:25] Showing labelled: False (4875/5000 visible)
[2021-03-16 02:00:25] Found 4875 unlabelled features.
[2021-03-16 02:00:25] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:25] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:25] Scoring random batches...
[2021-03-16 02:00:25] Showing labelled: True (150/5000 visible)
[2021-03-16 02:00:25] Training mlp across 150 data points in blobsthin...
[2021-03-16 02:00:26] Training loss: 0.0931
[2021-03-16 02:00:26] Testing on 5000 data points...
[2021-03-16 02:00:26] Test accuracy: 0.9188
[2021-03-16 02:00:26] Score for 150 labels: 0.9188
[2021-03-16 02:00:26] Showing labelled: False (4850/5000 visible)
[2021-03-16 02:00:26] Found 4850 unlabelled features.
[2021-03-16 02:00:26] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:26] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:27] Scoring random batches...
[2021-03-16 02:00:27] Showing labelled: True (175/5000 visible)
[2021-03-16 02:00:27] Training mlp across 175 data points in blobsthin...
[2021-03-16 02:00:28] Training loss: 0.0752
[2021-03-16 02:00:28] Testing on 5000 data points...
[2021-03-16 02:00:28] Test accuracy: 0.9706
[2021-03-16 02:00:28] Score for 175 labels: 0.9706
[2021-03-16 02:00:28] Showing labelled: False (4825/5000 visible)
[2021-03-16 02:00:28] Found 4825 unlabelled features.
[2021-03-16 02:00:28] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:28] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:29] Scoring random batches...
[2021-03-16 02:00:29] Showing labelled: True (200/5000 visible)
[2021-03-16 02:00:29] Training mlp across 200 data points in blobsthin...
[2021-03-16 02:00:30] Training loss: 0.0519
[2021-03-16 02:00:30] Testing on 5000 data points...
[2021-03-16 02:00:30] Test accuracy: 0.9740
[2021-03-16 02:00:30] Score for 200 labels: 0.9740
[2021-03-16 02:00:30] Showing labelled: False (4800/5000 visible)
[2021-03-16 02:00:30] Found 4800 unlabelled features.
[2021-03-16 02:00:30] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:30] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:31] Scoring random batches...
[2021-03-16 02:00:31] Showing labelled: True (225/5000 visible)
[2021-03-16 02:00:31] Training mlp across 225 data points in blobsthin...
[2021-03-16 02:00:32] Training loss: 0.0471
[2021-03-16 02:00:32] Testing on 5000 data points...
[2021-03-16 02:00:32] Test accuracy: 0.9892
[2021-03-16 02:00:32] Score for 225 labels: 0.9892
[2021-03-16 02:00:32] Showing labelled: False (4775/5000 visible)
[2021-03-16 02:00:32] Found 4775 unlabelled features.
[2021-03-16 02:00:32] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:32] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:33] Scoring random batches...
[2021-03-16 02:00:33] Showing labelled: True (250/5000 visible)
[2021-03-16 02:00:33] Training mlp across 250 data points in blobsthin...
[2021-03-16 02:00:34] Training loss: 0.0339
[2021-03-16 02:00:34] Testing on 5000 data points...
[2021-03-16 02:00:34] Test accuracy: 0.9918
[2021-03-16 02:00:34] Score for 250 labels: 0.9918
[2021-03-16 02:00:34] Showing labelled: False (4750/5000 visible)
[2021-03-16 02:00:34] Found 4750 unlabelled features.
[2021-03-16 02:00:34] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:34] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:35] Scoring random batches...
[2021-03-16 02:00:35] Showing labelled: True (275/5000 visible)
[2021-03-16 02:00:35] Training mlp across 275 data points in blobsthin...
[2021-03-16 02:00:37] Training loss: 0.0233
[2021-03-16 02:00:37] Testing on 5000 data points...
[2021-03-16 02:00:37] Test accuracy: 0.9938
[2021-03-16 02:00:37] Score for 275 labels: 0.9938
[2021-03-16 02:00:37] Showing labelled: False (4725/5000 visible)
[2021-03-16 02:00:37] Found 4725 unlabelled features.
[2021-03-16 02:00:37] Training GMM (k=50) on labelled features...
[2021-03-16 02:00:37] Training GMM (k=50) on unlabelled features...
[2021-03-16 02:00:38] Scoring random batches...
[2021-03-16 02:00:38] Showing labelled: True (300/5000 visible)
[2021-03-16 02:00:38] Training mlp across 300 data points in blobsthin...
[2021-03-16 02:00:39] Training loss: 0.0190
[2021-03-16 02:00:39] Testing on 5000 data points...
[2021-03-16 02:00:39] Test accuracy: 0.9944
[2021-03-16 02:00:39] Score for 300 labels: 0.9944
[2021-03-16 02:00:39] Updated results: ../results/p_coreset_focus_fewer_mc/results.json
