Create metrics.log

metrics.log

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+Subset ['m0'] accuracies 
+{'m1': 0.6354, 'm2': 0.592, 'm3': 0.6089, 'm4': 0.4787}
+Mean subset ['m0'] accuracies : 0.57875
+Subset ['m1'] accuracies 
+{'m0': 0.5028, 'm2': 0.6489, 'm3': 0.6556, 'm4': 0.5353}
+Mean subset ['m1'] accuracies : 0.58565
+Subset ['m2'] accuracies 
+{'m0': 0.4902, 'm1': 0.6807, 'm3': 0.6379, 'm4': 0.5249}
+Mean subset ['m2'] accuracies : 0.5834250000000001
+Subset ['m3'] accuracies 
+{'m0': 0.5151, 'm1': 0.7395, 'm2': 0.6902, 'm4': 0.5657}
+Mean subset ['m3'] accuracies : 0.627625
+Subset ['m4'] accuracies 
+{'m0': 0.4535, 'm1': 0.6194, 'm2': 0.5888, 'm3': 0.5973}
+Mean subset ['m4'] accuracies : 0.56475
+Subset ['m0', 'm1'] accuracies 
+{'m2': 0.7575, 'm3': 0.797, 'm4': 0.6147}
+Mean subset ['m0', 'm1'] accuracies : 0.7230666666666666
+Subset ['m0', 'm2'] accuracies 
+{'m1': 0.7961, 'm3': 0.7815, 'm4': 0.6085}
+Mean subset ['m0', 'm2'] accuracies : 0.7286999999999999
+Subset ['m0', 'm3'] accuracies 
+{'m1': 0.8437, 'm2': 0.7746, 'm4': 0.618}
+Mean subset ['m0', 'm3'] accuracies : 0.7454333333333333
+Subset ['m0', 'm4'] accuracies 
+{'m1': 0.787, 'm2': 0.7183, 'm3': 0.7723}
+Mean subset ['m0', 'm4'] accuracies : 0.7592
+Subset ['m1', 'm2'] accuracies 
+{'m0': 0.5982, 'm3': 0.8002, 'm4': 0.6311}
+Mean subset ['m1', 'm2'] accuracies : 0.6765
+Subset ['m1', 'm3'] accuracies 
+{'m0': 0.61, 'm2': 0.7933, 'm4': 0.642}
+Mean subset ['m1', 'm3'] accuracies : 0.6817666666666667
+Subset ['m1', 'm4'] accuracies 
+{'m0': 0.5827, 'm2': 0.7571, 'm3': 0.7969}
+Mean subset ['m1', 'm4'] accuracies : 0.7122333333333333
+Subset ['m2', 'm3'] accuracies 
+{'m0': 0.6135, 'm1': 0.8535, 'm4': 0.6411}
+Mean subset ['m2', 'm3'] accuracies : 0.7027000000000001
+Subset ['m2', 'm4'] accuracies 
+{'m0': 0.5865, 'm1': 0.7976, 'm3': 0.7838}
+Mean subset ['m2', 'm4'] accuracies : 0.7226333333333335
+Subset ['m3', 'm4'] accuracies 
+{'m0': 0.5963, 'm1': 0.8431, 'm2': 0.7831}
+Mean subset ['m3', 'm4'] accuracies : 0.7408333333333333
+Subset ['m0', 'm1', 'm2'] accuracies 
+{'m3': 0.884, 'm4': 0.6554}
+Mean subset ['m0', 'm1', 'm2'] accuracies : 0.7697
+Subset ['m0', 'm1', 'm3'] accuracies 
+{'m2': 0.8448, 'm4': 0.6528}
+Mean subset ['m0', 'm1', 'm3'] accuracies : 0.7488
+Subset ['m0', 'm1', 'm4'] accuracies 
+{'m2': 0.8262, 'm3': 0.8799}
+Mean subset ['m0', 'm1', 'm4'] accuracies : 0.8530500000000001
+Subset ['m0', 'm2', 'm3'] accuracies 
+{'m1': 0.9102, 'm4': 0.6506}
+Mean subset ['m0', 'm2', 'm3'] accuracies : 0.7804
+Subset ['m0'] accuracies 
+{'m1': 0.634, 'm2': 0.589, 'm3': 0.6064, 'm4': 0.4893}
+Mean subset ['m0'] accuracies : 0.5796749999999999
+Subset ['m1'] accuracies 
+{'m0': 0.4946, 'm2': 0.6424, 'm3': 0.6501, 'm4': 0.5433}
+Mean subset ['m1'] accuracies : 0.5826
+Subset ['m2'] accuracies 
+{'m0': 0.4796, 'm1': 0.6785, 'm3': 0.6294, 'm4': 0.5215}
+Mean subset ['m2'] accuracies : 0.57725
+Subset ['m3'] accuracies 
+{'m0': 0.5166, 'm1': 0.7344, 'm2': 0.68, 'm4': 0.5639}
+Mean subset ['m3'] accuracies : 0.623725
+Subset ['m4'] accuracies 
+{'m0': 0.4515, 'm1': 0.6235, 'm2': 0.5899, 'm3': 0.602}
+Mean subset ['m4'] accuracies : 0.566725
+Subset ['m0', 'm1'] accuracies 
+{'m2': 0.7512, 'm3': 0.794, 'm4': 0.618}
+Mean subset ['m0', 'm1'] accuracies : 0.7210666666666666
+Subset ['m0', 'm2'] accuracies 
+{'m1': 0.7975, 'm3': 0.7821, 'm4': 0.6162}
+Mean subset ['m0', 'm2'] accuracies : 0.7319333333333334
+Subset ['m0', 'm3'] accuracies 
+{'m1': 0.8415, 'm2': 0.7741, 'm4': 0.6172}
+Mean subset ['m0', 'm3'] accuracies : 0.7442666666666667
+Subset ['m0', 'm4'] accuracies 
+{'m1': 0.7785, 'm2': 0.7208, 'm3': 0.7635}
+Mean subset ['m0', 'm4'] accuracies : 0.7542666666666666
+Subset ['m1', 'm2'] accuracies 
+{'m0': 0.6056, 'm3': 0.8028, 'm4': 0.636}
+Mean subset ['m1', 'm2'] accuracies : 0.6814666666666667
+Subset ['m1', 'm3'] accuracies 
+{'m0': 0.616, 'm2': 0.7975, 'm4': 0.6367}
+Mean subset ['m1', 'm3'] accuracies : 0.6834000000000001
+Subset ['m1', 'm4'] accuracies 
+{'m0': 0.5796, 'm2': 0.7538, 'm3': 0.7965}
+Mean subset ['m1', 'm4'] accuracies : 0.7099666666666667
+Subset ['m2', 'm3'] accuracies 
+{'m0': 0.6101, 'm1': 0.842, 'm4': 0.6407}
+Mean subset ['m2', 'm3'] accuracies : 0.6976
+Subset ['m2', 'm4'] accuracies 
+{'m0': 0.5831, 'm1': 0.7914, 'm3': 0.7776}
+Mean subset ['m2', 'm4'] accuracies : 0.7173666666666666
+Subset ['m3', 'm4'] accuracies 
+{'m0': 0.5932, 'm1': 0.8385, 'm2': 0.7796}
+Mean subset ['m3', 'm4'] accuracies : 0.7371
+Subset ['m0', 'm1', 'm2'] accuracies 
+{'m3': 0.8873, 'm4': 0.6525}
+Mean subset ['m0', 'm1', 'm2'] accuracies : 0.7699
+Subset ['m0', 'm1', 'm3'] accuracies 
+{'m2': 0.8437, 'm4': 0.6521}
+Mean subset ['m0', 'm1', 'm3'] accuracies : 0.7479
+Subset ['m0', 'm1', 'm4'] accuracies 
+{'m2': 0.8179, 'm3': 0.8803}
+Mean subset ['m0', 'm1', 'm4'] accuracies : 0.8491
+Subset ['m0', 'm2', 'm3'] accuracies 
+{'m1': 0.9097, 'm4': 0.6601}
+Mean subset ['m0', 'm2', 'm3'] accuracies : 0.7848999999999999
+Subset ['m0', 'm2', 'm4'] accuracies 
+{'m1': 0.8857, 'm3': 0.8755}
+Mean subset ['m0', 'm2', 'm4'] accuracies : 0.8806
+Subset ['m0', 'm3', 'm4'] accuracies 
+{'m1': 0.9037, 'm2': 0.8349}
+Mean subset ['m0', 'm3', 'm4'] accuracies : 0.8693
+Subset ['m1', 'm2', 'm3'] accuracies 
+{'m0': 0.6507, 'm4': 0.6671}
+Mean subset ['m1', 'm2', 'm3'] accuracies : 0.6589
+Subset ['m1', 'm2', 'm4'] accuracies 
+{'m0': 0.6391, 'm3': 0.8868}
+Mean subset ['m1', 'm2', 'm4'] accuracies : 0.76295
+Subset ['m1', 'm3', 'm4'] accuracies 
+{'m0': 0.6433, 'm2': 0.8492}
+Mean subset ['m1', 'm3', 'm4'] accuracies : 0.74625
+Subset ['m2', 'm3', 'm4'] accuracies 
+{'m0': 0.6368, 'm1': 0.9056}
+Mean subset ['m2', 'm3', 'm4'] accuracies : 0.7712
+Subset ['m0', 'm1', 'm2', 'm3'] accuracies 
+{'m4': 0.6559}
+Mean subset ['m0', 'm1', 'm2', 'm3'] accuracies : 0.6559
+Subset ['m0', 'm1', 'm2', 'm4'] accuracies 
+{'m3': 0.9293}
+Mean subset ['m0', 'm1', 'm2', 'm4'] accuracies : 0.9293
+Subset ['m0', 'm1', 'm3', 'm4'] accuracies 
+{'m2': 0.8774}
+Mean subset ['m0', 'm1', 'm3', 'm4'] accuracies : 0.8774
+Subset ['m0', 'm2', 'm3', 'm4'] accuracies 
+{'m1': 0.9395}
+Mean subset ['m0', 'm2', 'm3', 'm4'] accuracies : 0.9395
+Subset ['m1', 'm2', 'm3', 'm4'] accuracies 
+{'m0': 0.653}
+Mean subset ['m1', 'm2', 'm3', 'm4'] accuracies : 0.653
+Conditional accuracies for 1 modalities : 0.5859949999999999 +- 0.01961035058330165
+Conditional accuracies for 2 modalities : 0.7178433333333334 +- 0.023635261087338683
+Conditional accuracies for 3 modalities : 0.7841 +- 0.06326958590033602
+Conditional accuracies for 4 modalities : 0.8110199999999999 +- 0.12956551084297085
+Joint coherence : 0.03179999813437462
+Uploading JNF model to asenella/mmnistJNF_config2_ repo in HF hub...
+Creating mmnistJNF_config2_ in the HF hub since it does not exist...
+Successfully created mmnistJNF_config2_ in the HF hub!