2025-09-24 13:25:39,410 [INFO ] [logger.py:dumpArgs:73]	 Starting with arguments
{"name": "mnist", "dataset": {"path": "../../datasets/mnist", "image_size": 224, "sensor_size": 56}, "output": "./models/robust/mnist/", "seed": 1337, "verbose": 1, "cuda_index": 0, "masks": [], "drop": {"name": "block-dropout"}, "training_iterations": 1000, "batch_size": 50, "validate_every": 10, "patience": 5, "evaluate_training": false, "teacher": null, "optimizer": {"name": "adam"}, "scheduler": {}, "masked_weight": 1.0, "dirichlet_weight": 0.0, "clean_weight": 0.0, "use_logits": true, "input": null, "architecture": {"name": "resnet_dirichlet", "activation": "identity"}}
2025-09-24 13:25:39,410 [INFO ] [learn_dirichlet_network.py:<module>:77]	 Starting to train mnist
2025-09-24 13:25:39,410 [INFO ] [loader.py:getDatasetSplits:24]	 Loading MNIST dataset from ../../datasets/mnist
2025-09-24 13:25:39,410 [INFO ] [baselines.py:createMNISTDataset:69]	 Using 10 MNIST targets: ['0 - zero', '1 - one', '2 - two', '3 - three', '4 - four', '5 - five', '6 - six', '7 - seven', '8 - eight', '9 - nine']
2025-09-24 13:25:39,423 [INFO ] [baselines.py:getTransform:24]	 Resizing images from 28 to 224
2025-09-24 13:25:39,468 [INFO ] [torch_utils.py:split:72]	 Split training from 60000 into 42000 training images and 18000 validation images. Found 10000 testing images.
2025-09-24 13:25:39,497 [INFO ] [util.py:selectDevice:88]	 Using cuda:0 for tensor calculations
2025-09-24 13:25:39,631 [INFO ] [learn_dirichlet_network.py:<module>:105]	 Constructing neural network
2025-09-24 13:25:39,631 [INFO ] [loader.py:createRegressor:52]	 Using Resnet18 DMV architecture with {'activation': 'identity'}
2025-09-24 13:25:39,631 [INFO ] [loader.py:_ensureDatasetInfoSet:27]	 Constructing ResNet Dirichlet with 10 targets and 1 channels
2025-09-24 13:25:39,631 [INFO ] [resnet.py:__init__:47]	 Creating new Resnet with pretrained weights
2025-09-24 13:25:39,908 [INFO ] [resnet.py:__init__:62]	 Replacing final layer in Resnet for 10 classes
2025-09-24 13:25:39,908 [INFO ] [resnet.py:_createResnetConv2dWithChannels:100]	 Using randomized first layer weights for Resnet DMV
2025-09-24 13:25:39,919 [ERROR] [learn_dirichlet_network.py:<module>:121]	 Using new model to predict phi values
2025-09-24 13:25:39,919 [INFO ] [learn_dirichlet_network.py:<module>:125]	 Network has 11178506 parameters
2025-09-24 13:25:39,919 [INFO ] [util.py:getOptimizer:104]	 Adam optimizer configuration: {}
2025-09-24 13:25:39,923 [INFO ] [learn_dirichlet_network.py:<module>:161]	 Using random dropping with arguments {'name': 'block-dropout'}
2025-09-24 13:26:01,967 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 22.04262 seconds
2025-09-24 13:26:01,967 [INFO ] [learn_dirichlet_network.py:<module>:203]	 Initial validation accuracy tensor([0.1008])
2025-09-24 13:26:30,525 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 28.55809 seconds
2025-09-24 13:26:30,526 [INFO ] [learn_dirichlet_network.py:<module>:207]	 Initial validation error 2.3345284461975098
2025-09-24 13:26:30,526 [INFO ] [learn_dirichlet_network.py:<module>:210]	 Starting network learning
2025-09-24 13:28:10,543 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 1/1000 in 100.01218 seconds - error: 1.0104522589416731
2025-09-24 13:28:10,543 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 13:28:10,544 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 1 to ./models/robust/mnist/mnist-20250924-132539-1.pklz
2025-09-24 13:28:33,628 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 21.37821 seconds
2025-09-24 13:28:33,629 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.6903])
2025-09-24 13:29:01,758 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 28.12928 seconds
2025-09-24 13:29:01,758 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.868248701095581 < prev best 2.3345284461975098
2025-09-24 13:30:40,936 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 2/1000 in 99.17206 seconds - error: 0.8596701646134967
2025-09-24 13:32:23,424 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 3/1000 in 102.48710 seconds - error: 0.8411911798374994
2025-09-24 13:34:03,594 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 4/1000 in 100.16991 seconds - error: 0.8286036680142085
2025-09-24 13:35:41,421 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 5/1000 in 97.82734 seconds - error: 0.8129995494726159
2025-09-24 13:37:20,513 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 6/1000 in 99.09096 seconds - error: 0.629206819016309
2025-09-24 13:39:01,587 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 7/1000 in 101.07403 seconds - error: 0.5766567101081213
2025-09-24 13:40:44,020 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 8/1000 in 102.43253 seconds - error: 0.572689185788234
2025-09-24 13:42:26,521 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 9/1000 in 102.50151 seconds - error: 0.5597687027638867
2025-09-24 13:44:08,415 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 10/1000 in 101.89358 seconds - error: 0.5553306597506716
2025-09-24 13:45:48,799 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 11/1000 in 100.38369 seconds - error: 0.5554424057226806
2025-09-24 13:45:48,799 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 13:45:48,799 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 11 to ./models/robust/mnist/mnist-20250924-132539-11.pklz
2025-09-24 13:46:13,290 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 22.81526 seconds
2025-09-24 13:46:13,291 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8017])
2025-09-24 13:46:41,120 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 27.82813 seconds
2025-09-24 13:46:41,120 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5507063269615173 < prev best 0.868248701095581
2025-09-24 13:48:21,401 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 12/1000 in 100.27550 seconds - error: 0.5548143821280627
2025-09-24 13:50:01,450 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 13/1000 in 100.04938 seconds - error: 0.5491060115219581
2025-09-24 13:51:40,563 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 14/1000 in 99.11283 seconds - error: 0.5437268461322501
2025-09-24 13:53:20,591 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 15/1000 in 100.02778 seconds - error: 0.5466765902404275
2025-09-24 13:55:01,067 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 16/1000 in 100.47578 seconds - error: 0.5406543610528821
2025-09-24 13:56:44,216 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 17/1000 in 103.14866 seconds - error: 0.5412535850668238
2025-09-24 13:58:25,451 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 18/1000 in 101.23457 seconds - error: 0.5347939846593709
2025-09-24 14:00:05,652 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 19/1000 in 100.20075 seconds - error: 0.5311770293329443
2025-09-24 14:01:46,191 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 20/1000 in 100.53886 seconds - error: 0.5329414388963154
2025-09-24 14:03:30,908 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 21/1000 in 104.71743 seconds - error: 0.5308686666722808
2025-09-24 14:03:30,908 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 14:03:30,909 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 21 to ./models/robust/mnist/mnist-20250924-132539-21.pklz
2025-09-24 14:03:58,082 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 25.43446 seconds
2025-09-24 14:03:58,082 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8027])
2025-09-24 14:04:29,923 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 31.84113 seconds
2025-09-24 14:04:29,924 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5367571711540222 < prev best 0.5507063269615173
2025-09-24 14:06:22,312 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 22/1000 in 112.38332 seconds - error: 0.5294923150291045
2025-09-24 14:08:13,018 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 23/1000 in 110.70527 seconds - error: 0.5301910865874517
2025-09-24 14:10:05,196 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 24/1000 in 112.17840 seconds - error: 0.5259290128591515
2025-09-24 14:11:51,897 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 25/1000 in 106.70043 seconds - error: 0.5241194872629075
2025-09-24 14:13:47,634 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 26/1000 in 115.73702 seconds - error: 0.5264122233326946
2025-09-24 14:15:36,366 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 27/1000 in 108.73166 seconds - error: 0.5245279989604439
2025-09-24 14:17:23,146 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 28/1000 in 106.77978 seconds - error: 0.5243291278502771
2025-09-24 14:19:13,833 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 29/1000 in 110.68645 seconds - error: 0.5199381537735462
2025-09-24 14:21:07,964 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 30/1000 in 114.13167 seconds - error: 0.5162607968917915
2025-09-24 14:23:01,821 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 31/1000 in 113.85588 seconds - error: 0.5214203937067872
2025-09-24 14:23:01,821 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 14:23:01,821 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 31 to ./models/robust/mnist/mnist-20250924-132539-31.pklz
2025-09-24 14:23:29,909 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 26.43368 seconds
2025-09-24 14:23:29,909 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8024])
2025-09-24 14:24:02,647 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 32.73791 seconds
2025-09-24 14:24:02,647 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5330871939659119 < prev best 0.5367571711540222
2025-09-24 14:25:59,752 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 32/1000 in 117.09904 seconds - error: 0.5208600771524722
2025-09-24 14:27:50,743 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 33/1000 in 110.99115 seconds - error: 0.5168528417036646
2025-09-24 14:29:00,779 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 34/1000 in 70.03629 seconds - error: 0.5187009714366425
2025-09-24 14:30:10,389 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 35/1000 in 69.60947 seconds - error: 0.5160410544524591
2025-09-24 14:31:22,922 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 36/1000 in 72.53280 seconds - error: 0.5174757429531642
2025-09-24 14:32:31,026 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 37/1000 in 68.10412 seconds - error: 0.5143628693318792
2025-09-24 14:33:40,532 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 38/1000 in 69.50534 seconds - error: 0.5166377006808207
2025-09-24 14:34:50,134 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 39/1000 in 69.60166 seconds - error: 0.5154158521798395
2025-09-24 14:36:00,460 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 40/1000 in 70.32580 seconds - error: 0.5145322517979712
2025-09-24 14:37:10,876 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 41/1000 in 70.41580 seconds - error: 0.5127575905017909
2025-09-24 14:37:10,876 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 14:37:10,876 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 41 to ./models/robust/mnist/mnist-20250924-132539-41.pklz
2025-09-24 14:37:26,412 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 13.90279 seconds
2025-09-24 14:37:26,412 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8021])
2025-09-24 14:37:44,455 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.04315 seconds
2025-09-24 14:37:44,456 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.530176043510437 < prev best 0.5330871939659119
2025-09-24 14:38:54,301 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 42/1000 in 69.84001 seconds - error: 0.5086827456596352
2025-09-24 14:40:04,579 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 43/1000 in 70.27754 seconds - error: 0.5109453791131576
2025-09-24 14:41:14,774 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 44/1000 in 70.19535 seconds - error: 0.5131352909796295
2025-09-24 14:42:23,750 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 45/1000 in 68.97531 seconds - error: 0.5082972495240115
2025-09-24 14:43:34,074 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 46/1000 in 70.32454 seconds - error: 0.5070235712187631
2025-09-24 14:44:44,863 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 47/1000 in 70.78886 seconds - error: 0.5111578639064517
2025-09-24 14:45:55,619 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 48/1000 in 70.75577 seconds - error: 0.5119725295652946
2025-09-24 14:47:06,243 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 49/1000 in 70.62350 seconds - error: 0.5067456680926539
2025-09-24 14:48:16,505 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 50/1000 in 70.26206 seconds - error: 0.507339361522879
2025-09-24 14:49:26,987 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 51/1000 in 70.48197 seconds - error: 0.5089326448383785
2025-09-24 14:49:26,988 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 14:49:26,988 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 51 to ./models/robust/mnist/mnist-20250924-132539-51.pklz
2025-09-24 14:49:43,003 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.38579 seconds
2025-09-24 14:49:43,003 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8028])
2025-09-24 14:50:01,211 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.20764 seconds
2025-09-24 14:50:01,211 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5289043188095093 < prev best 0.530176043510437
2025-09-24 14:51:10,676 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 52/1000 in 69.45895 seconds - error: 0.5074507890357858
2025-09-24 14:52:19,828 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 53/1000 in 69.15227 seconds - error: 0.5098516952246428
2025-09-24 14:53:29,722 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 54/1000 in 69.89429 seconds - error: 0.5047221981875953
2025-09-24 14:54:38,813 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 55/1000 in 69.09049 seconds - error: 0.5038519177231051
2025-09-24 14:55:48,060 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 56/1000 in 69.24629 seconds - error: 0.5083771569210859
2025-09-24 14:56:57,335 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 57/1000 in 69.27569 seconds - error: 0.5048330738076142
2025-09-24 14:58:06,790 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 58/1000 in 69.45414 seconds - error: 0.5054680687863202
2025-09-24 14:59:16,067 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 59/1000 in 69.27700 seconds - error: 0.5040044287751828
2025-09-24 15:00:25,381 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 60/1000 in 69.31358 seconds - error: 0.5031378118409997
2025-09-24 15:01:37,002 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 61/1000 in 71.62154 seconds - error: 0.5032336198857852
2025-09-24 15:01:37,002 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 15:01:37,003 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 61 to ./models/robust/mnist/mnist-20250924-132539-61.pklz
2025-09-24 15:01:53,066 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.37949 seconds
2025-09-24 15:01:53,067 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8027])
2025-09-24 15:02:11,225 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.15816 seconds
2025-09-24 15:02:11,225 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5263655185699463 < prev best 0.5289043188095093
2025-09-24 15:03:20,974 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 62/1000 in 69.74337 seconds - error: 0.5035290370562246
2025-09-24 15:04:30,997 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 63/1000 in 70.02352 seconds - error: 0.5040652879380754
2025-09-24 15:05:40,709 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 64/1000 in 69.71149 seconds - error: 0.5006136966514445
2025-09-24 15:06:50,284 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 65/1000 in 69.57433 seconds - error: 0.5057871342592296
2025-09-24 15:08:00,150 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 66/1000 in 69.86616 seconds - error: 0.5033776243705125
2025-09-24 15:09:10,182 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 67/1000 in 70.03230 seconds - error: 0.503074764229712
2025-09-24 15:10:20,356 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 68/1000 in 70.17381 seconds - error: 0.5018491535048399
2025-09-24 15:11:30,936 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 69/1000 in 70.57907 seconds - error: 0.5018422335652368
2025-09-24 15:12:40,549 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 70/1000 in 69.61328 seconds - error: 0.5002225944683665
2025-09-24 15:13:50,247 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 71/1000 in 69.69770 seconds - error: 0.501498266708638
2025-09-24 15:13:50,247 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 15:13:50,247 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 71 to ./models/robust/mnist/mnist-20250924-132539-71.pklz
2025-09-24 15:14:06,510 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.68237 seconds
2025-09-24 15:14:06,511 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8028])
2025-09-24 15:14:26,836 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 20.32558 seconds
2025-09-24 15:14:26,836 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5258059501647949 < prev best 0.5263655185699463
2025-09-24 15:15:37,131 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 72/1000 in 70.28943 seconds - error: 0.49997053432854865
2025-09-24 15:16:49,516 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 73/1000 in 72.38528 seconds - error: 0.49920909725839185
2025-09-24 15:17:59,605 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 74/1000 in 70.08820 seconds - error: 0.5003702375328257
2025-09-24 15:19:08,853 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 75/1000 in 69.24819 seconds - error: 0.49917178001432194
2025-09-24 15:20:18,873 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 76/1000 in 70.01929 seconds - error: 0.5006456057319328
2025-09-24 15:21:29,333 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 77/1000 in 70.46023 seconds - error: 0.49989538029545827
2025-09-24 15:22:39,222 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 78/1000 in 69.88836 seconds - error: 0.49806614213046574
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2025-09-24 15:26:09,979 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 81/1000 in 69.81955 seconds - error: 0.4960541943176871
2025-09-24 15:26:09,979 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 15:26:09,980 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 81 to ./models/robust/mnist/mnist-20250924-132539-81.pklz
2025-09-24 15:26:25,708 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.16579 seconds
2025-09-24 15:26:25,708 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8026])
2025-09-24 15:26:43,747 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.03912 seconds
2025-09-24 15:26:43,748 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5277764201164246 > prev best 0.5258059501647949, patience 0 / 5
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2025-09-24 15:34:56,276 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 88/1000 in 69.47856 seconds - error: 0.49669097650441385
2025-09-24 15:36:06,613 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 89/1000 in 70.33683 seconds - error: 0.49776046366563864
2025-09-24 15:37:17,107 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 90/1000 in 70.49389 seconds - error: 0.49966733026362603
2025-09-24 15:38:27,236 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 91/1000 in 70.12908 seconds - error: 0.5001004008132787
2025-09-24 15:38:27,236 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 15:38:27,236 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 91 to ./models/robust/mnist/mnist-20250924-132539-91.pklz
2025-09-24 15:38:42,885 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.08816 seconds
2025-09-24 15:38:42,885 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8026])
2025-09-24 15:39:01,238 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.35268 seconds
2025-09-24 15:39:01,238 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.5230686068534851 < prev best 0.5258059501647949
2025-09-24 15:40:11,904 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 92/1000 in 70.66087 seconds - error: 0.4979127349420672
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2025-09-24 15:46:04,943 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 97/1000 in 71.21321 seconds - error: 0.49703173300340064
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2025-09-24 15:48:26,751 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 99/1000 in 70.90746 seconds - error: 0.49512968409274305
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2025-09-24 15:50:47,704 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 101/1000 in 70.21971 seconds - error: 0.4943835637310431
2025-09-24 15:50:47,704 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 15:50:47,704 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 101 to ./models/robust/mnist/mnist-20250924-132539-101.pklz
2025-09-24 15:51:03,475 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.14060 seconds
2025-09-24 15:51:03,476 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8028])
2025-09-24 15:51:23,502 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 20.02642 seconds
2025-09-24 15:51:23,503 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5233375430107117 > prev best 0.5230686068534851, patience 0 / 5
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2025-09-24 15:58:25,532 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 107/1000 in 70.42711 seconds - error: 0.4954763203327145
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2025-09-24 16:00:45,763 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 109/1000 in 69.98822 seconds - error: 0.4937908018628756
2025-09-24 16:01:57,073 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 110/1000 in 71.31042 seconds - error: 0.4919130769513902
2025-09-24 16:03:06,945 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 111/1000 in 69.87106 seconds - error: 0.49229591456907135
2025-09-24 16:03:06,945 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 16:03:06,945 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 111 to ./models/robust/mnist/mnist-20250924-132539-111.pklz
2025-09-24 16:03:22,596 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 13.97044 seconds
2025-09-24 16:03:22,597 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8029])
2025-09-24 16:03:40,800 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.20317 seconds
2025-09-24 16:03:40,800 [INFO ] [learn_dirichlet_network.py:<module>:276]	 Found new best model with error 0.517467737197876 < prev best 0.5230686068534851
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2025-09-24 16:10:40,528 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 117/1000 in 69.73848 seconds - error: 0.49068912061906994
2025-09-24 16:11:50,263 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 118/1000 in 69.73562 seconds - error: 0.49480714915054186
2025-09-24 16:13:00,668 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 119/1000 in 70.40415 seconds - error: 0.4914154754951596
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2025-09-24 16:15:19,101 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 121/1000 in 68.98818 seconds - error: 0.49236430727122793
2025-09-24 16:15:19,102 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 16:15:19,102 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 121 to ./models/robust/mnist/mnist-20250924-132539-121.pklz
2025-09-24 16:15:35,071 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.32753 seconds
2025-09-24 16:15:35,071 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8024])
2025-09-24 16:15:53,112 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.04106 seconds
2025-09-24 16:15:53,112 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5246797800064087 > prev best 0.517467737197876, patience 0 / 5
2025-09-24 16:17:03,892 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 122/1000 in 70.77996 seconds - error: 0.4918137574834483
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2025-09-24 16:24:04,464 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 128/1000 in 68.94368 seconds - error: 0.4917287450993345
2025-09-24 16:25:15,541 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 129/1000 in 71.07600 seconds - error: 0.49023310421478183
2025-09-24 16:26:24,969 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 130/1000 in 69.42847 seconds - error: 0.4923617483737568
2025-09-24 16:27:34,836 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 131/1000 in 69.86683 seconds - error: 0.49151573772763923
2025-09-24 16:27:34,836 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 16:27:34,837 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 131 to ./models/robust/mnist/mnist-20250924-132539-131.pklz
2025-09-24 16:27:50,430 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.04063 seconds
2025-09-24 16:27:50,431 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8021])
2025-09-24 16:28:10,031 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 19.59993 seconds
2025-09-24 16:28:10,031 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5368567705154419 > prev best 0.517467737197876, patience 1 / 5
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2025-09-24 16:30:29,964 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 133/1000 in 70.11261 seconds - error: 0.490910953655839
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2025-09-24 16:35:12,237 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 137/1000 in 70.12056 seconds - error: 0.49164643775494327
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2025-09-24 16:37:31,803 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 139/1000 in 69.47642 seconds - error: 0.49006296103554114
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2025-09-24 16:39:52,185 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 141/1000 in 70.48850 seconds - error: 0.4903243031707548
2025-09-24 16:39:52,185 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 16:39:52,185 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 141 to ./models/robust/mnist/mnist-20250924-132539-141.pklz
2025-09-24 16:40:07,912 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.17187 seconds
2025-09-24 16:40:07,912 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8027])
2025-09-24 16:40:26,310 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.39811 seconds
2025-09-24 16:40:26,310 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.530382513999939 > prev best 0.517467737197876, patience 2 / 5
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2025-09-24 16:46:17,581 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 146/1000 in 71.03671 seconds - error: 0.48984166891092346
2025-09-24 16:47:27,704 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 147/1000 in 70.12312 seconds - error: 0.4914996411473978
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2025-09-24 16:49:48,430 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 149/1000 in 70.77060 seconds - error: 0.4889956635112564
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2025-09-24 16:52:08,616 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 151/1000 in 70.42821 seconds - error: 0.4892588621271508
2025-09-24 16:52:08,616 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 16:52:08,617 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 151 to ./models/robust/mnist/mnist-20250924-132539-151.pklz
2025-09-24 16:52:25,045 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.83290 seconds
2025-09-24 16:52:25,046 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8027])
2025-09-24 16:52:43,233 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.18690 seconds
2025-09-24 16:52:43,233 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5303430557250977 > prev best 0.517467737197876, patience 3 / 5
2025-09-24 16:53:54,096 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 152/1000 in 70.86256 seconds - error: 0.4891955733742742
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2025-09-24 16:58:35,137 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 156/1000 in 69.65034 seconds - error: 0.48961602298631557
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2025-09-24 17:02:08,186 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 159/1000 in 71.42267 seconds - error: 0.489764622412622
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2025-09-24 17:04:26,860 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 161/1000 in 69.83888 seconds - error: 0.4877249152355251
2025-09-24 17:04:26,860 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 17:04:26,861 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 161 to ./models/robust/mnist/mnist-20250924-132539-161.pklz
2025-09-24 17:04:42,356 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 13.91637 seconds
2025-09-24 17:04:42,356 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8026])
2025-09-24 17:05:02,220 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 19.86335 seconds
2025-09-24 17:05:02,220 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5320172309875488 > prev best 0.517467737197876, patience 4 / 5
2025-09-24 17:06:12,039 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 162/1000 in 69.81926 seconds - error: 0.48906459614989306
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2025-09-24 17:12:04,635 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 167/1000 in 71.02150 seconds - error: 0.48774903523957447
2025-09-24 17:13:14,144 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 168/1000 in 69.50820 seconds - error: 0.48829758014707336
2025-09-24 17:14:25,463 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 169/1000 in 71.31869 seconds - error: 0.4866148374442543
2025-09-24 17:15:34,798 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 170/1000 in 69.33502 seconds - error: 0.48996238215338617
2025-09-24 17:16:46,273 [INFO ] [learn_dirichlet_network.py:<module>:246]	 mnist iteration 171/1000 in 71.47477 seconds - error: 0.4865081611577244
2025-09-24 17:16:46,273 [INFO ] [learn_dirichlet_network.py:<module>:251]	 Evaluating the model via validation data
2025-09-24 17:16:46,273 [INFO ] [learn_dirichlet_network.py:<module>:256]	 Saving model at iteration 171 to ./models/robust/mnist/mnist-20250924-132539-171.pklz
2025-09-24 17:17:01,962 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 14.11109 seconds
2025-09-24 17:17:01,962 [INFO ] [learn_dirichlet_network.py:<module>:263]	 Validation accuracy: tensor([0.8028])
2025-09-24 17:17:20,354 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 18.39212 seconds
2025-09-24 17:17:20,355 [INFO ] [learn_dirichlet_network.py:<module>:269]	 Worsening on valid 0.5272210836410522 > prev best 0.517467737197876, patience 5 / 5
2025-09-24 17:17:20,355 [INFO ] [learn_dirichlet_network.py:<module>:271]	 Exceeding patience 5, stopping training
2025-09-24 17:17:20,355 [INFO ] [learn_dirichlet_network.py:<module>:287]	 Network learning done in 13849.82898 secs
2025-09-24 17:17:20,374 [INFO ] [learn_dirichlet_network.py:<module>:296]	 Saving model to ./models/robust/mnist/mnist-20250924-132539.pklz
2025-09-24 17:18:06,711 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 44.55821 seconds
2025-09-24 17:18:06,712 [INFO ] [learn_dirichlet_network.py:<module>:309]	 Loss for train is 0.4931979477405548:
tensor([0.4932])
2025-09-24 17:18:25,841 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 19.12844 seconds
2025-09-24 17:18:25,841 [INFO ] [learn_dirichlet_network.py:<module>:309]	 Loss for validate is 0.5309150815010071:
tensor([0.5309])
2025-09-24 17:18:36,324 [INFO ] [regressor.py:evaluateData:67]	 Evaluated regressor with data loader in 10.48260 seconds
2025-09-24 17:18:36,324 [INFO ] [learn_dirichlet_network.py:<module>:309]	 Loss for test is 0.5380943417549133:
tensor([0.5381])
