[2021-03-16 01:56:40] Seeded: 5
[2021-03-16 01:56:40] Created experiment 0:
[2021-03-16 01:56:40]  - Model: mlp
[2021-03-16 01:56:40]  - Acquisition function: p-coreset
[2021-03-16 01:56:40] Loading blobsthin test set...
[2021-03-16 01:56:40] Generated 5000 blobs:
[2021-03-16 01:56:40] Class 0: 200
[2021-03-16 01:56:40] Class 1: 300
[2021-03-16 01:56:40] Class 2: 1000
[2021-03-16 01:56:40] Class 3: 100
[2021-03-16 01:56:40] Class 4: 50
[2021-03-16 01:56:40] Class 5: 200
[2021-03-16 01:56:40] Class 6: 400
[2021-03-16 01:56:40] Class 7: 1800
[2021-03-16 01:56:40] Class 8: 50
[2021-03-16 01:56:40] Class 9: 900
[2021-03-16 01:56:40] Saved figure to: ../data/blobsthin_data.png
[2021-03-16 01:56:40] Generated 5000 test points.
[2021-03-16 01:56:40] Saved figure to: ../data/blobsthin_test.png
[2021-03-16 01:56:40] Experiment repeat 1/4
[2021-03-16 01:56:40] Randomly labelled 50/5000
[2021-03-16 01:56:40] Showing labelled: True (50/5000 visible)
[2021-03-16 01:56:40] Running: experiment 0
[2021-03-16 01:56:40] Showing labelled: True (50/5000 visible)
[2021-03-16 01:56:40] mlp: initialized 1482 parameters.
[2021-03-16 01:56:40] Creating trainer with model on device: cuda
[2021-03-16 01:56:45] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:56:46] Training loss: 1.5627
[2021-03-16 01:56:46] Testing on 5000 data points...
[2021-03-16 01:56:46] Test accuracy: 0.5000
[2021-03-16 01:56:46] Score for 50 labels: 0.5000
[2021-03-16 01:56:46] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:56:46] Found 4950 unlabelled features.
[2021-03-16 01:56:46] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:46] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:46] Scoring random batches...
[2021-03-16 01:56:46] Showing labelled: True (75/5000 visible)
[2021-03-16 01:56:46] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:56:47] Training loss: 0.6558
[2021-03-16 01:56:47] Testing on 5000 data points...
[2021-03-16 01:56:47] Test accuracy: 0.6844
[2021-03-16 01:56:47] Score for 75 labels: 0.6844
[2021-03-16 01:56:47] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:56:47] Found 4925 unlabelled features.
[2021-03-16 01:56:47] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:47] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:47] Scoring random batches...
[2021-03-16 01:56:47] Showing labelled: True (100/5000 visible)
[2021-03-16 01:56:47] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:56:48] Training loss: 0.3042
[2021-03-16 01:56:48] Testing on 5000 data points...
[2021-03-16 01:56:48] Test accuracy: 0.6984
[2021-03-16 01:56:48] Score for 100 labels: 0.6984
[2021-03-16 01:56:48] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:56:48] Found 4900 unlabelled features.
[2021-03-16 01:56:48] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:48] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:49] Scoring random batches...
[2021-03-16 01:56:49] Showing labelled: True (125/5000 visible)
[2021-03-16 01:56:49] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:56:49] Training loss: 0.1823
[2021-03-16 01:56:49] Testing on 5000 data points...
[2021-03-16 01:56:49] Test accuracy: 0.7000
[2021-03-16 01:56:49] Score for 125 labels: 0.7000
[2021-03-16 01:56:49] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:56:49] Found 4875 unlabelled features.
[2021-03-16 01:56:49] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:50] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:50] Scoring random batches...
[2021-03-16 01:56:50] Showing labelled: True (150/5000 visible)
[2021-03-16 01:56:50] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:56:51] Training loss: 0.1737
[2021-03-16 01:56:51] Testing on 5000 data points...
[2021-03-16 01:56:51] Test accuracy: 0.7218
[2021-03-16 01:56:51] Score for 150 labels: 0.7218
[2021-03-16 01:56:51] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:56:51] Found 4850 unlabelled features.
[2021-03-16 01:56:51] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:51] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:52] Scoring random batches...
[2021-03-16 01:56:52] Showing labelled: True (175/5000 visible)
[2021-03-16 01:56:52] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:56:53] Training loss: 0.0864
[2021-03-16 01:56:53] Testing on 5000 data points...
[2021-03-16 01:56:53] Test accuracy: 0.8574
[2021-03-16 01:56:53] Score for 175 labels: 0.8574
[2021-03-16 01:56:53] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:56:53] Found 4825 unlabelled features.
[2021-03-16 01:56:53] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:53] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:54] Scoring random batches...
[2021-03-16 01:56:54] Showing labelled: True (200/5000 visible)
[2021-03-16 01:56:54] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:56:55] Training loss: 0.0501
[2021-03-16 01:56:55] Testing on 5000 data points...
[2021-03-16 01:56:55] Test accuracy: 0.8824
[2021-03-16 01:56:55] Score for 200 labels: 0.8824
[2021-03-16 01:56:55] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:56:55] Found 4800 unlabelled features.
[2021-03-16 01:56:55] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:55] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:56] Scoring random batches...
[2021-03-16 01:56:56] Showing labelled: True (225/5000 visible)
[2021-03-16 01:56:56] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:56:57] Training loss: 0.0314
[2021-03-16 01:56:57] Testing on 5000 data points...
[2021-03-16 01:56:57] Test accuracy: 0.8850
[2021-03-16 01:56:57] Score for 225 labels: 0.8850
[2021-03-16 01:56:57] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:56:57] Found 4775 unlabelled features.
[2021-03-16 01:56:57] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:57] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:56:57] Scoring random batches...
[2021-03-16 01:56:57] Showing labelled: True (250/5000 visible)
[2021-03-16 01:56:57] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:56:59] Training loss: 0.0330
[2021-03-16 01:56:59] Testing on 5000 data points...
[2021-03-16 01:56:59] Test accuracy: 0.8908
[2021-03-16 01:56:59] Score for 250 labels: 0.8908
[2021-03-16 01:56:59] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:56:59] Found 4750 unlabelled features.
[2021-03-16 01:56:59] Training GMM (k=50) on labelled features...
[2021-03-16 01:56:59] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:00] Scoring random batches...
[2021-03-16 01:57:00] Showing labelled: True (275/5000 visible)
[2021-03-16 01:57:00] Training mlp across 275 data points in blobsthin...
[2021-03-16 01:57:01] Training loss: 0.0208
[2021-03-16 01:57:01] Testing on 5000 data points...
[2021-03-16 01:57:01] Test accuracy: 0.9502
[2021-03-16 01:57:01] Score for 275 labels: 0.9502
[2021-03-16 01:57:01] Showing labelled: False (4725/5000 visible)
[2021-03-16 01:57:01] Found 4725 unlabelled features.
[2021-03-16 01:57:01] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:01] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:02] Scoring random batches...
[2021-03-16 01:57:02] Showing labelled: True (300/5000 visible)
[2021-03-16 01:57:02] Training mlp across 300 data points in blobsthin...
[2021-03-16 01:57:04] Training loss: 0.0142
[2021-03-16 01:57:04] Testing on 5000 data points...
[2021-03-16 01:57:04] Test accuracy: 0.9928
[2021-03-16 01:57:04] Score for 300 labels: 0.9928
[2021-03-16 01:57:04] Experiment repeat 2/4
[2021-03-16 01:57:04] Randomly labelled 50/5000
[2021-03-16 01:57:04] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:04] Running: experiment 0
[2021-03-16 01:57:04] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:04] mlp: initialized 1482 parameters.
[2021-03-16 01:57:04] Creating trainer with model on device: cuda
[2021-03-16 01:57:04] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:57:04] Training loss: 1.4536
[2021-03-16 01:57:04] Testing on 5000 data points...
[2021-03-16 01:57:04] Test accuracy: 0.3964
[2021-03-16 01:57:04] Score for 50 labels: 0.3964
[2021-03-16 01:57:04] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:57:04] Found 4950 unlabelled features.
[2021-03-16 01:57:04] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:04] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:05] Scoring random batches...
[2021-03-16 01:57:05] Showing labelled: True (75/5000 visible)
[2021-03-16 01:57:05] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:57:05] Training loss: 0.5377
[2021-03-16 01:57:05] Testing on 5000 data points...
[2021-03-16 01:57:05] Test accuracy: 0.6724
[2021-03-16 01:57:05] Score for 75 labels: 0.6724
[2021-03-16 01:57:05] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:57:05] Found 4925 unlabelled features.
[2021-03-16 01:57:05] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:05] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:06] Scoring random batches...
[2021-03-16 01:57:06] Showing labelled: True (100/5000 visible)
[2021-03-16 01:57:06] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:57:06] Training loss: 0.2653
[2021-03-16 01:57:06] Testing on 5000 data points...
[2021-03-16 01:57:06] Test accuracy: 0.6982
[2021-03-16 01:57:06] Score for 100 labels: 0.6982
[2021-03-16 01:57:06] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:57:06] Found 4900 unlabelled features.
[2021-03-16 01:57:06] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:06] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:07] Scoring random batches...
[2021-03-16 01:57:07] Showing labelled: True (125/5000 visible)
[2021-03-16 01:57:07] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:57:07] Training loss: 0.1453
[2021-03-16 01:57:07] Testing on 5000 data points...
[2021-03-16 01:57:07] Test accuracy: 0.7004
[2021-03-16 01:57:07] Score for 125 labels: 0.7004
[2021-03-16 01:57:07] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:57:07] Found 4875 unlabelled features.
[2021-03-16 01:57:08] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:08] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:08] Scoring random batches...
[2021-03-16 01:57:08] Showing labelled: True (150/5000 visible)
[2021-03-16 01:57:08] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:57:09] Training loss: 0.0849
[2021-03-16 01:57:09] Testing on 5000 data points...
[2021-03-16 01:57:09] Test accuracy: 0.7152
[2021-03-16 01:57:09] Score for 150 labels: 0.7152
[2021-03-16 01:57:09] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:57:09] Found 4850 unlabelled features.
[2021-03-16 01:57:09] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:09] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:10] Scoring random batches...
[2021-03-16 01:57:10] Showing labelled: True (175/5000 visible)
[2021-03-16 01:57:10] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:57:11] Training loss: 0.0551
[2021-03-16 01:57:11] Testing on 5000 data points...
[2021-03-16 01:57:11] Test accuracy: 0.7666
[2021-03-16 01:57:11] Score for 175 labels: 0.7666
[2021-03-16 01:57:11] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:57:11] Found 4825 unlabelled features.
[2021-03-16 01:57:11] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:11] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:11] Scoring random batches...
[2021-03-16 01:57:11] Showing labelled: True (200/5000 visible)
[2021-03-16 01:57:11] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:57:12] Training loss: 0.0427
[2021-03-16 01:57:12] Testing on 5000 data points...
[2021-03-16 01:57:12] Test accuracy: 0.7876
[2021-03-16 01:57:12] Score for 200 labels: 0.7876
[2021-03-16 01:57:12] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:57:12] Found 4800 unlabelled features.
[2021-03-16 01:57:12] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:13] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:13] Scoring random batches...
[2021-03-16 01:57:13] Showing labelled: True (225/5000 visible)
[2021-03-16 01:57:13] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:57:14] Training loss: 0.0300
[2021-03-16 01:57:14] Testing on 5000 data points...
[2021-03-16 01:57:15] Test accuracy: 0.7900
[2021-03-16 01:57:15] Score for 225 labels: 0.7900
[2021-03-16 01:57:15] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:57:15] Found 4775 unlabelled features.
[2021-03-16 01:57:15] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:15] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:16] Scoring random batches...
[2021-03-16 01:57:16] Showing labelled: True (250/5000 visible)
[2021-03-16 01:57:16] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:57:17] Training loss: 0.0211
[2021-03-16 01:57:17] Testing on 5000 data points...
[2021-03-16 01:57:17] Test accuracy: 0.7938
[2021-03-16 01:57:17] Score for 250 labels: 0.7938
[2021-03-16 01:57:17] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:57:17] Found 4750 unlabelled features.
[2021-03-16 01:57:17] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:17] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:18] Scoring random batches...
[2021-03-16 01:57:18] Showing labelled: True (275/5000 visible)
[2021-03-16 01:57:18] Training mlp across 275 data points in blobsthin...
[2021-03-16 01:57:19] Training loss: 0.0172
[2021-03-16 01:57:19] Testing on 5000 data points...
[2021-03-16 01:57:19] Test accuracy: 0.7948
[2021-03-16 01:57:19] Score for 275 labels: 0.7948
[2021-03-16 01:57:19] Showing labelled: False (4725/5000 visible)
[2021-03-16 01:57:19] Found 4725 unlabelled features.
[2021-03-16 01:57:20] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:20] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:21] Scoring random batches...
[2021-03-16 01:57:21] Showing labelled: True (300/5000 visible)
[2021-03-16 01:57:21] Training mlp across 300 data points in blobsthin...
[2021-03-16 01:57:22] Training loss: 0.0136
[2021-03-16 01:57:22] Testing on 5000 data points...
[2021-03-16 01:57:22] Test accuracy: 0.7950
[2021-03-16 01:57:22] Score for 300 labels: 0.7950
[2021-03-16 01:57:22] Experiment repeat 3/4
[2021-03-16 01:57:22] Randomly labelled 50/5000
[2021-03-16 01:57:22] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:22] Running: experiment 0
[2021-03-16 01:57:22] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:22] mlp: initialized 1482 parameters.
[2021-03-16 01:57:22] Creating trainer with model on device: cuda
[2021-03-16 01:57:22] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:57:22] Training loss: 1.2244
[2021-03-16 01:57:22] Testing on 5000 data points...
[2021-03-16 01:57:23] Test accuracy: 0.4388
[2021-03-16 01:57:23] Score for 50 labels: 0.4388
[2021-03-16 01:57:23] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:57:23] Found 4950 unlabelled features.
[2021-03-16 01:57:23] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:23] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:23] Scoring random batches...
[2021-03-16 01:57:23] Showing labelled: True (75/5000 visible)
[2021-03-16 01:57:23] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:57:24] Training loss: 0.6067
[2021-03-16 01:57:24] Testing on 5000 data points...
[2021-03-16 01:57:24] Test accuracy: 0.5840
[2021-03-16 01:57:24] Score for 75 labels: 0.5840
[2021-03-16 01:57:24] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:57:24] Found 4925 unlabelled features.
[2021-03-16 01:57:24] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:24] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:24] Scoring random batches...
[2021-03-16 01:57:24] Showing labelled: True (100/5000 visible)
[2021-03-16 01:57:24] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:57:25] Training loss: 0.3189
[2021-03-16 01:57:25] Testing on 5000 data points...
[2021-03-16 01:57:25] Test accuracy: 0.7596
[2021-03-16 01:57:25] Score for 100 labels: 0.7596
[2021-03-16 01:57:25] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:57:25] Found 4900 unlabelled features.
[2021-03-16 01:57:25] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:25] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:26] Scoring random batches...
[2021-03-16 01:57:26] Showing labelled: True (125/5000 visible)
[2021-03-16 01:57:26] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:57:26] Training loss: 0.1721
[2021-03-16 01:57:26] Testing on 5000 data points...
[2021-03-16 01:57:26] Test accuracy: 0.7954
[2021-03-16 01:57:26] Score for 125 labels: 0.7954
[2021-03-16 01:57:26] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:57:26] Found 4875 unlabelled features.
[2021-03-16 01:57:26] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:27] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:27] Scoring random batches...
[2021-03-16 01:57:27] Showing labelled: True (150/5000 visible)
[2021-03-16 01:57:27] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:57:28] Training loss: 0.1279
[2021-03-16 01:57:28] Testing on 5000 data points...
[2021-03-16 01:57:28] Test accuracy: 0.8162
[2021-03-16 01:57:28] Score for 150 labels: 0.8162
[2021-03-16 01:57:28] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:57:28] Found 4850 unlabelled features.
[2021-03-16 01:57:28] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:28] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:29] Scoring random batches...
[2021-03-16 01:57:29] Showing labelled: True (175/5000 visible)
[2021-03-16 01:57:29] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:57:30] Training loss: 0.0889
[2021-03-16 01:57:30] Testing on 5000 data points...
[2021-03-16 01:57:30] Test accuracy: 0.8512
[2021-03-16 01:57:30] Score for 175 labels: 0.8512
[2021-03-16 01:57:30] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:57:30] Found 4825 unlabelled features.
[2021-03-16 01:57:30] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:31] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:31] Scoring random batches...
[2021-03-16 01:57:31] Showing labelled: True (200/5000 visible)
[2021-03-16 01:57:31] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:57:32] Training loss: 0.0610
[2021-03-16 01:57:32] Testing on 5000 data points...
[2021-03-16 01:57:32] Test accuracy: 0.8748
[2021-03-16 01:57:32] Score for 200 labels: 0.8748
[2021-03-16 01:57:32] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:57:32] Found 4800 unlabelled features.
[2021-03-16 01:57:32] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:32] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:33] Scoring random batches...
[2021-03-16 01:57:33] Showing labelled: True (225/5000 visible)
[2021-03-16 01:57:33] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:57:34] Training loss: 0.0412
[2021-03-16 01:57:34] Testing on 5000 data points...
[2021-03-16 01:57:34] Test accuracy: 0.8840
[2021-03-16 01:57:34] Score for 225 labels: 0.8840
[2021-03-16 01:57:34] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:57:34] Found 4775 unlabelled features.
[2021-03-16 01:57:34] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:34] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:35] Scoring random batches...
[2021-03-16 01:57:35] Showing labelled: True (250/5000 visible)
[2021-03-16 01:57:35] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:57:36] Training loss: 0.0272
[2021-03-16 01:57:36] Testing on 5000 data points...
[2021-03-16 01:57:36] Test accuracy: 0.8880
[2021-03-16 01:57:36] Score for 250 labels: 0.8880
[2021-03-16 01:57:36] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:57:36] Found 4750 unlabelled features.
[2021-03-16 01:57:36] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:37] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:37] Scoring random batches...
[2021-03-16 01:57:37] Showing labelled: True (275/5000 visible)
[2021-03-16 01:57:37] Training mlp across 275 data points in blobsthin...
[2021-03-16 01:57:38] Training loss: 0.0193
[2021-03-16 01:57:38] Testing on 5000 data points...
[2021-03-16 01:57:38] Test accuracy: 0.8910
[2021-03-16 01:57:38] Score for 275 labels: 0.8910
[2021-03-16 01:57:38] Showing labelled: False (4725/5000 visible)
[2021-03-16 01:57:38] Found 4725 unlabelled features.
[2021-03-16 01:57:39] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:39] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:40] Scoring random batches...
[2021-03-16 01:57:40] Showing labelled: True (300/5000 visible)
[2021-03-16 01:57:40] Training mlp across 300 data points in blobsthin...
[2021-03-16 01:57:41] Training loss: 0.0238
[2021-03-16 01:57:41] Testing on 5000 data points...
[2021-03-16 01:57:41] Test accuracy: 0.8930
[2021-03-16 01:57:41] Score for 300 labels: 0.8930
[2021-03-16 01:57:41] Experiment repeat 4/4
[2021-03-16 01:57:41] Randomly labelled 50/5000
[2021-03-16 01:57:41] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:41] Running: experiment 0
[2021-03-16 01:57:41] Showing labelled: True (50/5000 visible)
[2021-03-16 01:57:41] mlp: initialized 1482 parameters.
[2021-03-16 01:57:41] Creating trainer with model on device: cuda
[2021-03-16 01:57:41] Training mlp across 50 data points in blobsthin...
[2021-03-16 01:57:41] Training loss: 1.1022
[2021-03-16 01:57:41] Testing on 5000 data points...
[2021-03-16 01:57:41] Test accuracy: 0.5990
[2021-03-16 01:57:41] Score for 50 labels: 0.5990
[2021-03-16 01:57:41] Showing labelled: False (4950/5000 visible)
[2021-03-16 01:57:41] Found 4950 unlabelled features.
[2021-03-16 01:57:42] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:42] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:42] Scoring random batches...
[2021-03-16 01:57:42] Showing labelled: True (75/5000 visible)
[2021-03-16 01:57:42] Training mlp across 75 data points in blobsthin...
[2021-03-16 01:57:43] Training loss: 0.5989
[2021-03-16 01:57:43] Testing on 5000 data points...
[2021-03-16 01:57:43] Test accuracy: 0.7000
[2021-03-16 01:57:43] Score for 75 labels: 0.7000
[2021-03-16 01:57:43] Showing labelled: False (4925/5000 visible)
[2021-03-16 01:57:43] Found 4925 unlabelled features.
[2021-03-16 01:57:43] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:43] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:43] Scoring random batches...
[2021-03-16 01:57:43] Showing labelled: True (100/5000 visible)
[2021-03-16 01:57:43] Training mlp across 100 data points in blobsthin...
[2021-03-16 01:57:44] Training loss: 0.3206
[2021-03-16 01:57:44] Testing on 5000 data points...
[2021-03-16 01:57:44] Test accuracy: 0.7998
[2021-03-16 01:57:44] Score for 100 labels: 0.7998
[2021-03-16 01:57:44] Showing labelled: False (4900/5000 visible)
[2021-03-16 01:57:44] Found 4900 unlabelled features.
[2021-03-16 01:57:44] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:44] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:44] Scoring random batches...
[2021-03-16 01:57:44] Showing labelled: True (125/5000 visible)
[2021-03-16 01:57:44] Training mlp across 125 data points in blobsthin...
[2021-03-16 01:57:45] Training loss: 0.2147
[2021-03-16 01:57:45] Testing on 5000 data points...
[2021-03-16 01:57:45] Test accuracy: 0.8684
[2021-03-16 01:57:45] Score for 125 labels: 0.8684
[2021-03-16 01:57:45] Showing labelled: False (4875/5000 visible)
[2021-03-16 01:57:45] Found 4875 unlabelled features.
[2021-03-16 01:57:45] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:45] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:46] Scoring random batches...
[2021-03-16 01:57:46] Showing labelled: True (150/5000 visible)
[2021-03-16 01:57:46] Training mlp across 150 data points in blobsthin...
[2021-03-16 01:57:47] Training loss: 0.1513
[2021-03-16 01:57:47] Testing on 5000 data points...
[2021-03-16 01:57:47] Test accuracy: 0.9830
[2021-03-16 01:57:47] Score for 150 labels: 0.9830
[2021-03-16 01:57:47] Showing labelled: False (4850/5000 visible)
[2021-03-16 01:57:47] Found 4850 unlabelled features.
[2021-03-16 01:57:47] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:47] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:48] Scoring random batches...
[2021-03-16 01:57:48] Showing labelled: True (175/5000 visible)
[2021-03-16 01:57:48] Training mlp across 175 data points in blobsthin...
[2021-03-16 01:57:49] Training loss: 0.0913
[2021-03-16 01:57:49] Testing on 5000 data points...
[2021-03-16 01:57:49] Test accuracy: 0.9940
[2021-03-16 01:57:49] Score for 175 labels: 0.9940
[2021-03-16 01:57:49] Showing labelled: False (4825/5000 visible)
[2021-03-16 01:57:49] Found 4825 unlabelled features.
[2021-03-16 01:57:49] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:49] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:50] Scoring random batches...
[2021-03-16 01:57:50] Showing labelled: True (200/5000 visible)
[2021-03-16 01:57:50] Training mlp across 200 data points in blobsthin...
[2021-03-16 01:57:51] Training loss: 0.0531
[2021-03-16 01:57:51] Testing on 5000 data points...
[2021-03-16 01:57:51] Test accuracy: 0.9944
[2021-03-16 01:57:51] Score for 200 labels: 0.9944
[2021-03-16 01:57:51] Showing labelled: False (4800/5000 visible)
[2021-03-16 01:57:51] Found 4800 unlabelled features.
[2021-03-16 01:57:51] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:51] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:52] Scoring random batches...
[2021-03-16 01:57:52] Showing labelled: True (225/5000 visible)
[2021-03-16 01:57:52] Training mlp across 225 data points in blobsthin...
[2021-03-16 01:57:53] Training loss: 0.0366
[2021-03-16 01:57:53] Testing on 5000 data points...
[2021-03-16 01:57:53] Test accuracy: 0.9954
[2021-03-16 01:57:53] Score for 225 labels: 0.9954
[2021-03-16 01:57:53] Showing labelled: False (4775/5000 visible)
[2021-03-16 01:57:53] Found 4775 unlabelled features.
[2021-03-16 01:57:53] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:53] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:54] Scoring random batches...
[2021-03-16 01:57:54] Showing labelled: True (250/5000 visible)
[2021-03-16 01:57:54] Training mlp across 250 data points in blobsthin...
[2021-03-16 01:57:55] Training loss: 0.0255
[2021-03-16 01:57:55] Testing on 5000 data points...
[2021-03-16 01:57:55] Test accuracy: 0.9960
[2021-03-16 01:57:55] Score for 250 labels: 0.9960
[2021-03-16 01:57:55] Showing labelled: False (4750/5000 visible)
[2021-03-16 01:57:55] Found 4750 unlabelled features.
[2021-03-16 01:57:55] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:56] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:56] Scoring random batches...
[2021-03-16 01:57:56] Showing labelled: True (275/5000 visible)
[2021-03-16 01:57:56] Training mlp across 275 data points in blobsthin...
[2021-03-16 01:57:58] Training loss: 0.0196
[2021-03-16 01:57:58] Testing on 5000 data points...
[2021-03-16 01:57:58] Test accuracy: 0.9966
[2021-03-16 01:57:58] Score for 275 labels: 0.9966
[2021-03-16 01:57:58] Showing labelled: False (4725/5000 visible)
[2021-03-16 01:57:58] Found 4725 unlabelled features.
[2021-03-16 01:57:58] Training GMM (k=50) on labelled features...
[2021-03-16 01:57:58] Training GMM (k=50) on unlabelled features...
[2021-03-16 01:57:59] Scoring random batches...
[2021-03-16 01:57:59] Showing labelled: True (300/5000 visible)
[2021-03-16 01:57:59] Training mlp across 300 data points in blobsthin...
[2021-03-16 01:58:00] Training loss: 0.0150
[2021-03-16 01:58:00] Testing on 5000 data points...
[2021-03-16 01:58:00] Test accuracy: 0.9966
[2021-03-16 01:58:00] Score for 300 labels: 0.9966
[2021-03-16 01:58:00] Updated results: ../results/p_coreset_focus/results.json
