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log_training.txt
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Loading training data..
Done loading training data..
>> layer highorderaggregator_1, dim: [21,512]
>> layer highorderaggregator_2, dim: [1536,512]
>> layer highorderaggregator_3, dim: [1536,512]
>> layer highorderaggregator_4, dim: [512,3]
sampling 200 subgraphs: time = 0.298 sec
[4mSTART PHASE 0[0m
[1mEpoch 0[0m
TRAIN (Ep avg): loss = 1.0935 mic = 0.3320 mac = 0.2508 train time = 7.0351 sec
[93m VALIDATION: loss = 0.2505 mic = 0.9930 mac = 0.9776[0m
Saving models ...
[1mEpoch 1[0m
TRAIN (Ep avg): loss = 0.2644 mic = 0.9854 mac = 0.9645 train time = 3.2824 sec
[93m VALIDATION: loss = 0.1196 mic = 0.9967 mac = 0.9897[0m
Saving models ...
[1mEpoch 2[0m
TRAIN (Ep avg): loss = 0.1304 mic = 0.9934 mac = 0.9845 train time = 3.3402 sec
[93m VALIDATION: loss = 0.0651 mic = 0.9996 mac = 0.9991[0m
Saving models ...
[1mEpoch 3[0m
TRAIN (Ep avg): loss = 0.0772 mic = 0.9921 mac = 0.9797 train time = 3.1384 sec
[93m VALIDATION: loss = 0.0399 mic = 0.9994 mac = 0.9977[0m
[1mEpoch 4[0m
TRAIN (Ep avg): loss = 0.0526 mic = 0.9922 mac = 0.9802 train time = 3.2063 sec
[93m VALIDATION: loss = 0.0267 mic = 0.9994 mac = 0.9981[0m
[1mEpoch 5[0m
TRAIN (Ep avg): loss = 0.0361 mic = 0.9945 mac = 0.9857 train time = 3.3812 sec
[93m VALIDATION: loss = 0.0203 mic = 0.9994 mac = 0.9981[0m
[1mEpoch 6[0m
TRAIN (Ep avg): loss = 0.0267 mic = 0.9958 mac = 0.9908 train time = 4.5234 sec
[93m VALIDATION: loss = 0.0170 mic = 0.9994 mac = 0.9981[0m
[1mEpoch 7[0m
TRAIN (Ep avg): loss = 0.0199 mic = 0.9958 mac = 0.9893 train time = 3.2652 sec
[93m VALIDATION: loss = 0.0150 mic = 0.9990 mac = 0.9969[0m
[1mEpoch 8[0m
TRAIN (Ep avg): loss = 0.0173 mic = 0.9955 mac = 0.9872 train time = 3.1362 sec
[93m VALIDATION: loss = 0.0137 mic = 0.9992 mac = 0.9979[0m
[1mEpoch 9[0m
TRAIN (Ep avg): loss = 0.0184 mic = 0.9954 mac = 0.9892 train time = 3.2045 sec
[93m VALIDATION: loss = 0.0127 mic = 0.9992 mac = 0.9979[0m
[1mEpoch 10[0m
TRAIN (Ep avg): loss = 0.0081 mic = 0.9991 mac = 0.9982 train time = 3.2792 sec
[93m VALIDATION: loss = 0.0130 mic = 0.9986 mac = 0.9951[0m
[1mEpoch 11[0m
TRAIN (Ep avg): loss = 0.0086 mic = 0.9975 mac = 0.9945 train time = 3.2452 sec
[93m VALIDATION: loss = 0.0100 mic = 1.0000 mac = 1.0000[0m
Saving models ...
[1mEpoch 12[0m
TRAIN (Ep avg): loss = 0.0073 mic = 0.9988 mac = 0.9971 train time = 3.1589 sec
[93m VALIDATION: loss = 0.0094 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 13[0m
TRAIN (Ep avg): loss = 0.0121 mic = 0.9966 mac = 0.9911 train time = 3.3886 sec
[93m VALIDATION: loss = 0.0112 mic = 0.9998 mac = 0.9991[0m
[1mEpoch 14[0m
TRAIN (Ep avg): loss = 0.0141 mic = 0.9957 mac = 0.9895 train time = 3.7169 sec
[93m VALIDATION: loss = 0.0109 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 15[0m
TRAIN (Ep avg): loss = 0.0092 mic = 0.9976 mac = 0.9943 train time = 3.4449 sec
[93m VALIDATION: loss = 0.0102 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 16[0m
TRAIN (Ep avg): loss = 0.0191 mic = 0.9958 mac = 0.9891 train time = 3.3802 sec
[93m VALIDATION: loss = 0.0098 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 17[0m
TRAIN (Ep avg): loss = 0.0119 mic = 0.9970 mac = 0.9925 train time = 3.1970 sec
[93m VALIDATION: loss = 0.0074 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 18[0m
TRAIN (Ep avg): loss = 0.0063 mic = 0.9995 mac = 0.9989 train time = 3.5444 sec
[93m VALIDATION: loss = 0.0063 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 19[0m
TRAIN (Ep avg): loss = 0.0156 mic = 0.9936 mac = 0.9826 train time = 3.5096 sec
[93m VALIDATION: loss = 0.0078 mic = 0.9986 mac = 0.9935[0m
[1mEpoch 20[0m
TRAIN (Ep avg): loss = 0.0137 mic = 0.9954 mac = 0.9870 train time = 5.1278 sec
[93m VALIDATION: loss = 0.0046 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 21[0m
TRAIN (Ep avg): loss = 0.0049 mic = 0.9991 mac = 0.9980 train time = 3.4757 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 22[0m
TRAIN (Ep avg): loss = 0.0123 mic = 0.9965 mac = 0.9909 train time = 3.3499 sec
[93m VALIDATION: loss = 0.0043 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 23[0m
TRAIN (Ep avg): loss = 0.0052 mic = 0.9993 mac = 0.9984 train time = 3.4692 sec
[93m VALIDATION: loss = 0.0049 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 24[0m
TRAIN (Ep avg): loss = 0.0199 mic = 0.9947 mac = 0.9845 train time = 3.4879 sec
[93m VALIDATION: loss = 0.0043 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 25[0m
TRAIN (Ep avg): loss = 0.0077 mic = 0.9979 mac = 0.9940 train time = 3.4087 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 26[0m
TRAIN (Ep avg): loss = 0.0073 mic = 0.9974 mac = 0.9927 train time = 3.3585 sec
[93m VALIDATION: loss = 0.0049 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 27[0m
TRAIN (Ep avg): loss = 0.0042 mic = 0.9995 mac = 0.9992 train time = 3.3538 sec
[93m VALIDATION: loss = 0.0057 mic = 0.9994 mac = 0.9976[0m
[1mEpoch 28[0m
TRAIN (Ep avg): loss = 0.0042 mic = 0.9995 mac = 0.9985 train time = 3.2842 sec
[93m VALIDATION: loss = 0.0050 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 29[0m
TRAIN (Ep avg): loss = 0.0077 mic = 0.9977 mac = 0.9947 train time = 3.3885 sec
[93m VALIDATION: loss = 0.0050 mic = 0.9949 mac = 0.9858[0m
[1mEpoch 30[0m
TRAIN (Ep avg): loss = 0.0107 mic = 0.9966 mac = 0.9926 train time = 3.4474 sec
[93m VALIDATION: loss = 0.0069 mic = 0.9942 mac = 0.9837[0m
[1mEpoch 31[0m
TRAIN (Ep avg): loss = 0.0080 mic = 0.9979 mac = 0.9952 train time = 3.8497 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 32[0m
TRAIN (Ep avg): loss = 0.0029 mic = 0.9996 mac = 0.9990 train time = 3.6905 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 33[0m
TRAIN (Ep avg): loss = 0.0039 mic = 0.9991 mac = 0.9979 train time = 3.8605 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 34[0m
TRAIN (Ep avg): loss = 0.0090 mic = 0.9973 mac = 0.9944 train time = 3.6630 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 35[0m
TRAIN (Ep avg): loss = 0.0029 mic = 0.9993 mac = 0.9986 train time = 3.2254 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 36[0m
TRAIN (Ep avg): loss = 0.0046 mic = 0.9982 mac = 0.9956 train time = 3.2341 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 37[0m
TRAIN (Ep avg): loss = 0.0089 mic = 0.9974 mac = 0.9930 train time = 3.2168 sec
[93m VALIDATION: loss = 0.0041 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 38[0m
TRAIN (Ep avg): loss = 0.0064 mic = 0.9982 mac = 0.9952 train time = 3.2754 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9992 mac = 0.9977[0m
[1mEpoch 39[0m
TRAIN (Ep avg): loss = 0.0068 mic = 0.9988 mac = 0.9969 train time = 3.4738 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 40[0m
TRAIN (Ep avg): loss = 0.0079 mic = 0.9984 mac = 0.9959 train time = 3.4459 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 41[0m
TRAIN (Ep avg): loss = 0.0067 mic = 0.9980 mac = 0.9952 train time = 4.3806 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 42[0m
TRAIN (Ep avg): loss = 0.0029 mic = 0.9993 mac = 0.9980 train time = 3.7360 sec
[93m VALIDATION: loss = 0.0042 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 43[0m
TRAIN (Ep avg): loss = 0.0064 mic = 0.9980 mac = 0.9949 train time = 3.4650 sec
[93m VALIDATION: loss = 0.0036 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 44[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9991 mac = 0.9980 train time = 4.0749 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 45[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9996 mac = 0.9990 train time = 3.4006 sec
[93m VALIDATION: loss = 0.0032 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 46[0m
TRAIN (Ep avg): loss = 0.0065 mic = 0.9984 mac = 0.9967 train time = 3.4608 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 47[0m
TRAIN (Ep avg): loss = 0.0039 mic = 0.9989 mac = 0.9977 train time = 3.1243 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 48[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9990 mac = 0.9975 train time = 3.5320 sec
[93m VALIDATION: loss = 0.0035 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 49[0m
TRAIN (Ep avg): loss = 0.0048 mic = 0.9988 mac = 0.9972 train time = 3.2469 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 50[0m
TRAIN (Ep avg): loss = 0.0063 mic = 0.9981 mac = 0.9945 train time = 3.5054 sec
[93m VALIDATION: loss = 0.0048 mic = 0.9992 mac = 0.9977[0m
[1mEpoch 51[0m
TRAIN (Ep avg): loss = 0.0047 mic = 0.9986 mac = 0.9968 train time = 3.3166 sec
[93m VALIDATION: loss = 0.0038 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 52[0m
TRAIN (Ep avg): loss = 0.0051 mic = 0.9984 mac = 0.9962 train time = 3.3998 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 53[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9995 mac = 0.9988 train time = 3.5556 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 54[0m
TRAIN (Ep avg): loss = 0.0045 mic = 0.9980 mac = 0.9947 train time = 3.3335 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 55[0m
TRAIN (Ep avg): loss = 0.0047 mic = 0.9990 mac = 0.9971 train time = 3.1520 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 56[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9989 mac = 0.9974 train time = 3.3749 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 57[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9989 mac = 0.9970 train time = 3.3259 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 58[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9991 mac = 0.9975 train time = 3.4825 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 59[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9996 mac = 0.9993 train time = 3.2803 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 60[0m
TRAIN (Ep avg): loss = 0.0034 mic = 0.9989 mac = 0.9975 train time = 3.3638 sec
[93m VALIDATION: loss = 0.0032 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 61[0m
TRAIN (Ep avg): loss = 0.0072 mic = 0.9982 mac = 0.9951 train time = 3.4411 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 62[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9995 mac = 0.9986 train time = 3.8967 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 63[0m
TRAIN (Ep avg): loss = 0.0037 mic = 0.9991 mac = 0.9977 train time = 3.2558 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 64[0m
TRAIN (Ep avg): loss = 0.0059 mic = 0.9979 mac = 0.9946 train time = 3.3873 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 65[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9996 mac = 0.9990 train time = 3.1806 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 66[0m
sampling 200 subgraphs: time = 0.335 sec
TRAIN (Ep avg): loss = 0.0053 mic = 0.9986 mac = 0.9963 train time = 3.4362 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 67[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9993 mac = 0.9981 train time = 3.2681 sec
[93m VALIDATION: loss = 0.0038 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 68[0m
TRAIN (Ep avg): loss = 0.0043 mic = 0.9993 mac = 0.9979 train time = 4.0294 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 69[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9996 mac = 0.9992 train time = 4.0570 sec
[93m VALIDATION: loss = 0.0035 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 70[0m
TRAIN (Ep avg): loss = 0.0035 mic = 0.9991 mac = 0.9975 train time = 4.0187 sec
[93m VALIDATION: loss = 0.0037 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 71[0m
TRAIN (Ep avg): loss = 0.0059 mic = 0.9984 mac = 0.9960 train time = 3.2739 sec
[93m VALIDATION: loss = 0.0032 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 72[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9995 mac = 0.9984 train time = 3.5454 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 73[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9998 mac = 0.9995 train time = 3.3823 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 74[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9998 mac = 0.9997 train time = 3.4501 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 75[0m
TRAIN (Ep avg): loss = 0.0030 mic = 0.9993 mac = 0.9985 train time = 3.5105 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 76[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9991 mac = 0.9976 train time = 3.8343 sec
[93m VALIDATION: loss = 0.0038 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 77[0m
TRAIN (Ep avg): loss = 0.0010 mic = 1.0000 mac = 1.0000 train time = 3.2891 sec
[93m VALIDATION: loss = 0.0035 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 78[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9998 mac = 0.9995 train time = 3.9063 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 79[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9986 mac = 0.9960 train time = 3.2393 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 80[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9993 mac = 0.9981 train time = 3.2303 sec
[93m VALIDATION: loss = 0.0037 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 81[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9998 mac = 0.9995 train time = 3.2989 sec
[93m VALIDATION: loss = 0.0038 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 82[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9996 mac = 0.9992 train time = 3.3790 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9996 mac = 0.9990[0m
[1mEpoch 83[0m
TRAIN (Ep avg): loss = 0.0014 mic = 1.0000 mac = 1.0000 train time = 3.2937 sec
[93m VALIDATION: loss = 0.0035 mic = 0.9996 mac = 0.9991[0m
[1mEpoch 84[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9991 mac = 0.9980 train time = 3.3173 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 85[0m
TRAIN (Ep avg): loss = 0.0062 mic = 0.9973 mac = 0.9931 train time = 3.6204 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 86[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9986 mac = 0.9959 train time = 3.4472 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 87[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9993 mac = 0.9983 train time = 3.2993 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 88[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9996 mac = 0.9992 train time = 3.7497 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 89[0m
TRAIN (Ep avg): loss = 0.0037 mic = 0.9988 mac = 0.9971 train time = 3.3040 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 90[0m
TRAIN (Ep avg): loss = 0.0033 mic = 0.9993 mac = 0.9980 train time = 3.4517 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9990[0m
[1mEpoch 91[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9988 mac = 0.9969 train time = 3.8392 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 92[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9986 mac = 0.9967 train time = 3.9377 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 93[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9996 mac = 0.9990 train time = 3.6330 sec
[93m VALIDATION: loss = 0.0036 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 94[0m
TRAIN (Ep avg): loss = 0.0032 mic = 0.9986 mac = 0.9966 train time = 3.4257 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 95[0m
TRAIN (Ep avg): loss = 0.0045 mic = 0.9993 mac = 0.9986 train time = 3.2657 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 96[0m
TRAIN (Ep avg): loss = 0.0043 mic = 0.9988 mac = 0.9967 train time = 3.8177 sec
[93m VALIDATION: loss = 0.0039 mic = 0.9996 mac = 0.9990[0m
[1mEpoch 97[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9996 mac = 0.9990 train time = 3.5908 sec
[93m VALIDATION: loss = 0.0042 mic = 0.9996 mac = 0.9990[0m
[1mEpoch 98[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9995 mac = 0.9985 train time = 3.4578 sec
[93m VALIDATION: loss = 0.0046 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 99[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9998 mac = 0.9995 train time = 3.4985 sec
[93m VALIDATION: loss = 0.0049 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 100[0m
TRAIN (Ep avg): loss = 0.0035 mic = 0.9982 mac = 0.9957 train time = 3.4981 sec
[93m VALIDATION: loss = 0.0050 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 101[0m
TRAIN (Ep avg): loss = 0.0056 mic = 0.9974 mac = 0.9924 train time = 3.2975 sec
[93m VALIDATION: loss = 0.0049 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 102[0m
TRAIN (Ep avg): loss = 0.0030 mic = 0.9988 mac = 0.9970 train time = 3.6166 sec
[93m VALIDATION: loss = 0.0048 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 103[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9995 mac = 0.9987 train time = 3.5644 sec
[93m VALIDATION: loss = 0.0052 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 104[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9995 mac = 0.9987 train time = 3.4666 sec
[93m VALIDATION: loss = 0.0052 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 105[0m
TRAIN (Ep avg): loss = 0.0008 mic = 1.0000 mac = 1.0000 train time = 3.6414 sec
[93m VALIDATION: loss = 0.0049 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 106[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9996 mac = 0.9990 train time = 3.6194 sec
[93m VALIDATION: loss = 0.0048 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 107[0m
TRAIN (Ep avg): loss = 0.0039 mic = 0.9990 mac = 0.9969 train time = 3.4290 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 108[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9986 mac = 0.9964 train time = 3.5179 sec
[93m VALIDATION: loss = 0.0046 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 109[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9993 mac = 0.9987 train time = 3.2298 sec
[93m VALIDATION: loss = 0.0043 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 110[0m
TRAIN (Ep avg): loss = 0.0072 mic = 0.9979 mac = 0.9949 train time = 3.2521 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 111[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9993 mac = 0.9985 train time = 3.3808 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 112[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9989 mac = 0.9971 train time = 3.5761 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 113[0m
TRAIN (Ep avg): loss = 0.0023 mic = 0.9990 mac = 0.9973 train time = 3.3947 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 114[0m
TRAIN (Ep avg): loss = 0.0047 mic = 0.9981 mac = 0.9947 train time = 3.5668 sec
[93m VALIDATION: loss = 0.0029 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 115[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9993 mac = 0.9984 train time = 3.5638 sec
[93m VALIDATION: loss = 0.0025 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 116[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9986 mac = 0.9960 train time = 3.5032 sec
[93m VALIDATION: loss = 0.0022 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 117[0m
TRAIN (Ep avg): loss = 0.0037 mic = 0.9989 mac = 0.9971 train time = 3.2446 sec
[93m VALIDATION: loss = 0.0023 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 118[0m
TRAIN (Ep avg): loss = 0.0042 mic = 0.9984 mac = 0.9960 train time = 3.3922 sec
[93m VALIDATION: loss = 0.0026 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 119[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9984 mac = 0.9951 train time = 3.3148 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 120[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9993 mac = 0.9985 train time = 3.1656 sec
[93m VALIDATION: loss = 0.0037 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 121[0m
TRAIN (Ep avg): loss = 0.0042 mic = 0.9979 mac = 0.9939 train time = 3.3670 sec
[93m VALIDATION: loss = 0.0038 mic = 0.9992 mac = 0.9977[0m
[1mEpoch 122[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9995 mac = 0.9986 train time = 3.6771 sec
[93m VALIDATION: loss = 0.0039 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 123[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9996 mac = 0.9990 train time = 3.5012 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 124[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9995 mac = 0.9985 train time = 3.2146 sec
[93m VALIDATION: loss = 0.0039 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 125[0m
TRAIN (Ep avg): loss = 0.0033 mic = 0.9988 mac = 0.9971 train time = 3.0457 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 126[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9998 mac = 0.9995 train time = 3.3415 sec
[93m VALIDATION: loss = 0.0029 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 127[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9993 mac = 0.9979 train time = 3.2534 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 128[0m
TRAIN (Ep avg): loss = 0.0009 mic = 1.0000 mac = 1.0000 train time = 3.1338 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 129[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9996 mac = 0.9994 train time = 3.5427 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 130[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9993 mac = 0.9981 train time = 3.0905 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 131[0m
TRAIN (Ep avg): loss = 0.0030 mic = 0.9993 mac = 0.9980 train time = 3.5440 sec
[93m VALIDATION: loss = 0.0062 mic = 0.9983 mac = 0.9948[0m
[1mEpoch 132[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9989 mac = 0.9972 train time = 3.2806 sec
[93m VALIDATION: loss = 0.0060 mic = 0.9983 mac = 0.9948[0m
[1mEpoch 133[0m
sampling 200 subgraphs: time = 0.332 sec
TRAIN (Ep avg): loss = 0.0053 mic = 0.9988 mac = 0.9970 train time = 3.6879 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9990 mac = 0.9971[0m
[1mEpoch 134[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9990 mac = 0.9977 train time = 3.0594 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 135[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9996 mac = 0.9992 train time = 3.2798 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 136[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9991 mac = 0.9974 train time = 3.3828 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 137[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9998 mac = 0.9995 train time = 3.2477 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 138[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9995 mac = 0.9987 train time = 3.4128 sec
[93m VALIDATION: loss = 0.0029 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 139[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9988 mac = 0.9967 train time = 3.3904 sec
[93m VALIDATION: loss = 0.0032 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 140[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9984 mac = 0.9963 train time = 3.2718 sec
[93m VALIDATION: loss = 0.0037 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 141[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9996 mac = 0.9991 train time = 3.3804 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 142[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9989 mac = 0.9971 train time = 3.1624 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 143[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9991 mac = 0.9976 train time = 3.4289 sec
[93m VALIDATION: loss = 0.0045 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 144[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9989 mac = 0.9974 train time = 3.2696 sec
[93m VALIDATION: loss = 0.0045 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 145[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9989 mac = 0.9973 train time = 3.1756 sec
[93m VALIDATION: loss = 0.0045 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 146[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9996 mac = 0.9990 train time = 3.1287 sec
[93m VALIDATION: loss = 0.0043 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 147[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9991 mac = 0.9978 train time = 3.3910 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 148[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9996 mac = 0.9990 train time = 3.4009 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 149[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9991 mac = 0.9977 train time = 3.5083 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 150[0m
TRAIN (Ep avg): loss = 0.0009 mic = 1.0000 mac = 1.0000 train time = 3.6065 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 151[0m
TRAIN (Ep avg): loss = 0.0008 mic = 1.0000 mac = 1.0000 train time = 3.3914 sec
[93m VALIDATION: loss = 0.0025 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 152[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9998 mac = 0.9995 train time = 3.2106 sec
[93m VALIDATION: loss = 0.0023 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 153[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9996 mac = 0.9990 train time = 3.4080 sec
[93m VALIDATION: loss = 0.0024 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 154[0m
TRAIN (Ep avg): loss = 0.0061 mic = 0.9982 mac = 0.9957 train time = 3.3809 sec
[93m VALIDATION: loss = 0.0026 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 155[0m
TRAIN (Ep avg): loss = 0.0042 mic = 0.9988 mac = 0.9965 train time = 3.4738 sec
[93m VALIDATION: loss = 0.0026 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 156[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9997 mac = 0.9991 train time = 3.1604 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 157[0m
TRAIN (Ep avg): loss = 0.0101 mic = 0.9968 mac = 0.9915 train time = 3.4128 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 158[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9995 mac = 0.9985 train time = 4.0095 sec
[93m VALIDATION: loss = 0.0038 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 159[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9993 mac = 0.9987 train time = 3.7784 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 160[0m
TRAIN (Ep avg): loss = 0.0077 mic = 0.9979 mac = 0.9941 train time = 3.8398 sec
[93m VALIDATION: loss = 0.0045 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 161[0m
TRAIN (Ep avg): loss = 0.0032 mic = 0.9993 mac = 0.9985 train time = 3.4583 sec
[93m VALIDATION: loss = 0.0046 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 162[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9989 mac = 0.9971 train time = 3.4906 sec
[93m VALIDATION: loss = 0.0053 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 163[0m
TRAIN (Ep avg): loss = 0.0040 mic = 0.9991 mac = 0.9984 train time = 3.5340 sec
[93m VALIDATION: loss = 0.0069 mic = 0.9988 mac = 0.9966[0m
[1mEpoch 164[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9995 mac = 0.9985 train time = 3.5118 sec
[93m VALIDATION: loss = 0.0060 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 165[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9995 mac = 0.9985 train time = 3.2755 sec
[93m VALIDATION: loss = 0.0036 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 166[0m
TRAIN (Ep avg): loss = 0.0011 mic = 1.0000 mac = 1.0000 train time = 3.4171 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 167[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9995 mac = 0.9985 train time = 3.3168 sec
[93m VALIDATION: loss = 0.0056 mic = 0.9981 mac = 0.9942[0m
[1mEpoch 168[0m
TRAIN (Ep avg): loss = 0.0045 mic = 0.9981 mac = 0.9948 train time = 3.3722 sec
[93m VALIDATION: loss = 0.0060 mic = 0.9975 mac = 0.9925[0m
[1mEpoch 169[0m
TRAIN (Ep avg): loss = 0.0047 mic = 0.9989 mac = 0.9972 train time = 3.3357 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9984 mac = 0.9954[0m
[1mEpoch 170[0m
TRAIN (Ep avg): loss = 0.0009 mic = 1.0000 mac = 1.0000 train time = 3.5481 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 171[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9995 mac = 0.9985 train time = 3.4687 sec
[93m VALIDATION: loss = 0.0027 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 172[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9998 mac = 0.9997 train time = 3.3772 sec
[93m VALIDATION: loss = 0.0023 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 173[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9995 mac = 0.9988 train time = 3.4942 sec
[93m VALIDATION: loss = 0.0022 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 174[0m
TRAIN (Ep avg): loss = 0.0040 mic = 0.9986 mac = 0.9961 train time = 3.1630 sec
[93m VALIDATION: loss = 0.0023 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 175[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9993 mac = 0.9981 train time = 3.3644 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 176[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9993 mac = 0.9980 train time = 3.5301 sec
[93m VALIDATION: loss = 0.0042 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 177[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9993 mac = 0.9988 train time = 3.2111 sec
[93m VALIDATION: loss = 0.0038 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 178[0m
TRAIN (Ep avg): loss = 0.0035 mic = 0.9986 mac = 0.9962 train time = 3.5066 sec
[93m VALIDATION: loss = 0.0039 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 179[0m
TRAIN (Ep avg): loss = 0.0029 mic = 0.9986 mac = 0.9964 train time = 3.3559 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 180[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9996 mac = 0.9990 train time = 3.3681 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 181[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9995 mac = 0.9986 train time = 3.1320 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 182[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9984 mac = 0.9961 train time = 3.7295 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 183[0m
TRAIN (Ep avg): loss = 0.0033 mic = 0.9986 mac = 0.9967 train time = 3.3864 sec
[93m VALIDATION: loss = 0.0028 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 184[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9986 mac = 0.9961 train time = 3.4389 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 185[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9996 mac = 0.9990 train time = 3.4629 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 186[0m
TRAIN (Ep avg): loss = 0.0031 mic = 0.9989 mac = 0.9969 train time = 3.5146 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 187[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9996 mac = 0.9994 train time = 3.5245 sec
[93m VALIDATION: loss = 0.0024 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 188[0m
TRAIN (Ep avg): loss = 0.0034 mic = 0.9982 mac = 0.9955 train time = 3.4867 sec
[93m VALIDATION: loss = 0.0020 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 189[0m
TRAIN (Ep avg): loss = 0.0032 mic = 0.9989 mac = 0.9972 train time = 3.2439 sec
[93m VALIDATION: loss = 0.0019 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 190[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9991 mac = 0.9980 train time = 3.5620 sec
[93m VALIDATION: loss = 0.0019 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 191[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9996 mac = 0.9990 train time = 3.2052 sec
[93m VALIDATION: loss = 0.0020 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 192[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9993 mac = 0.9979 train time = 3.3226 sec
[93m VALIDATION: loss = 0.0021 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 193[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9996 mac = 0.9992 train time = 3.3771 sec
[93m VALIDATION: loss = 0.0020 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 194[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9995 mac = 0.9985 train time = 3.3125 sec
[93m VALIDATION: loss = 0.0018 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 195[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.3878 sec
[93m VALIDATION: loss = 0.0018 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 196[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.7136 sec
[93m VALIDATION: loss = 0.0019 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 197[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9993 mac = 0.9986 train time = 3.4174 sec
[93m VALIDATION: loss = 0.0020 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 198[0m
TRAIN (Ep avg): loss = 0.0006 mic = 0.9998 mac = 0.9995 train time = 3.3707 sec
[93m VALIDATION: loss = 0.0022 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 199[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9996 mac = 0.9990 train time = 3.2357 sec
[93m VALIDATION: loss = 0.0024 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 200[0m
sampling 200 subgraphs: time = 0.329 sec
TRAIN (Ep avg): loss = 0.0010 mic = 0.9998 mac = 0.9995 train time = 3.4491 sec
[93m VALIDATION: loss = 0.0025 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 201[0m
TRAIN (Ep avg): loss = 0.0040 mic = 0.9984 mac = 0.9960 train time = 3.4003 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 202[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9995 mac = 0.9989 train time = 3.4222 sec
[93m VALIDATION: loss = 0.0030 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 203[0m
TRAIN (Ep avg): loss = 0.0046 mic = 0.9986 mac = 0.9969 train time = 3.3260 sec
[93m VALIDATION: loss = 0.0033 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 204[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9993 mac = 0.9980 train time = 3.3094 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 205[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9996 mac = 0.9994 train time = 3.3097 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 206[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9993 mac = 0.9984 train time = 3.3417 sec
[93m VALIDATION: loss = 0.0019 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 207[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9991 mac = 0.9974 train time = 3.3333 sec
[93m VALIDATION: loss = 0.0013 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 208[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9991 mac = 0.9975 train time = 3.3461 sec
[93m VALIDATION: loss = 0.0016 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 209[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9991 mac = 0.9975 train time = 3.4530 sec
[93m VALIDATION: loss = 0.0018 mic = 0.9996 mac = 0.9990[0m
[1mEpoch 210[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9998 mac = 0.9997 train time = 3.2961 sec
[93m VALIDATION: loss = 0.0018 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 211[0m
TRAIN (Ep avg): loss = 0.0055 mic = 0.9986 mac = 0.9964 train time = 3.1486 sec
[93m VALIDATION: loss = 0.0018 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 212[0m
TRAIN (Ep avg): loss = 0.0030 mic = 0.9989 mac = 0.9972 train time = 3.2410 sec
[93m VALIDATION: loss = 0.0020 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 213[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9989 mac = 0.9970 train time = 3.3348 sec
[93m VALIDATION: loss = 0.0025 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 214[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9996 mac = 0.9993 train time = 3.4587 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 215[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9989 mac = 0.9970 train time = 3.5305 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 216[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9995 mac = 0.9984 train time = 3.3996 sec
[93m VALIDATION: loss = 0.0047 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 217[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9993 mac = 0.9980 train time = 3.3447 sec
[93m VALIDATION: loss = 0.0046 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 218[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9993 mac = 0.9980 train time = 3.4689 sec
[93m VALIDATION: loss = 0.0045 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 219[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9989 mac = 0.9973 train time = 3.3801 sec
[93m VALIDATION: loss = 0.0047 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 220[0m
TRAIN (Ep avg): loss = 0.0006 mic = 0.9998 mac = 0.9995 train time = 3.4293 sec
[93m VALIDATION: loss = 0.0051 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 221[0m
TRAIN (Ep avg): loss = 0.0006 mic = 1.0000 mac = 1.0000 train time = 3.3976 sec
[93m VALIDATION: loss = 0.0050 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 222[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9995 mac = 0.9985 train time = 3.5401 sec
[93m VALIDATION: loss = 0.0042 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 223[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9996 mac = 0.9993 train time = 5.0165 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 224[0m
TRAIN (Ep avg): loss = 0.0024 mic = 0.9988 mac = 0.9965 train time = 3.3907 sec
[93m VALIDATION: loss = 0.0028 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 225[0m
TRAIN (Ep avg): loss = 0.0023 mic = 0.9995 mac = 0.9985 train time = 3.5068 sec
[93m VALIDATION: loss = 0.0028 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 226[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9993 mac = 0.9984 train time = 3.5491 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 227[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9996 mac = 0.9995 train time = 3.3493 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 228[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9988 mac = 0.9967 train time = 3.1986 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 229[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9989 mac = 0.9973 train time = 3.5204 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 230[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9993 mac = 0.9980 train time = 3.4347 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 231[0m
TRAIN (Ep avg): loss = 0.0006 mic = 0.9998 mac = 0.9997 train time = 3.2432 sec
[93m VALIDATION: loss = 0.0043 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 232[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9989 mac = 0.9969 train time = 3.1794 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 233[0m
TRAIN (Ep avg): loss = 0.0061 mic = 0.9986 mac = 0.9959 train time = 3.2567 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 234[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9996 mac = 0.9990 train time = 3.1408 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 235[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9995 mac = 0.9984 train time = 4.9741 sec
[93m VALIDATION: loss = 0.0046 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 236[0m
TRAIN (Ep avg): loss = 0.0009 mic = 1.0000 mac = 1.0000 train time = 3.2454 sec
[93m VALIDATION: loss = 0.0048 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 237[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9998 mac = 0.9995 train time = 3.1841 sec
[93m VALIDATION: loss = 0.0052 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 238[0m
TRAIN (Ep avg): loss = 0.0046 mic = 0.9979 mac = 0.9940 train time = 3.4909 sec
[93m VALIDATION: loss = 0.0054 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 239[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.3873 sec
[93m VALIDATION: loss = 0.0054 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 240[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9996 mac = 0.9990 train time = 3.2057 sec
[93m VALIDATION: loss = 0.0049 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 241[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9996 mac = 0.9990 train time = 3.3294 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 242[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9995 mac = 0.9988 train time = 3.2852 sec
[93m VALIDATION: loss = 0.0042 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 243[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9989 mac = 0.9969 train time = 3.3093 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 244[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.4786 sec
[93m VALIDATION: loss = 0.0042 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 245[0m
TRAIN (Ep avg): loss = 0.0032 mic = 0.9989 mac = 0.9972 train time = 3.3853 sec
[93m VALIDATION: loss = 0.0054 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 246[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9996 mac = 0.9992 train time = 3.3107 sec
[93m VALIDATION: loss = 0.0063 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 247[0m
TRAIN (Ep avg): loss = 0.0007 mic = 0.9998 mac = 0.9995 train time = 3.3463 sec
[93m VALIDATION: loss = 0.0058 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 248[0m
TRAIN (Ep avg): loss = 0.0025 mic = 0.9993 mac = 0.9984 train time = 3.1846 sec
[93m VALIDATION: loss = 0.0050 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 249[0m
TRAIN (Ep avg): loss = 0.0038 mic = 0.9982 mac = 0.9951 train time = 3.1701 sec
[93m VALIDATION: loss = 0.0042 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 250[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9996 mac = 0.9990 train time = 3.2816 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 251[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9990 mac = 0.9969 train time = 3.3018 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 252[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9995 mac = 0.9985 train time = 3.2761 sec
[93m VALIDATION: loss = 0.0024 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 253[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9995 mac = 0.9985 train time = 3.3696 sec
[93m VALIDATION: loss = 0.0022 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 254[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9995 mac = 0.9990 train time = 3.4127 sec
[93m VALIDATION: loss = 0.0020 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 255[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9996 mac = 0.9990 train time = 3.2278 sec
[93m VALIDATION: loss = 0.0020 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 256[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9993 mac = 0.9983 train time = 3.6076 sec
[93m VALIDATION: loss = 0.0019 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 257[0m
TRAIN (Ep avg): loss = 0.0004 mic = 0.9998 mac = 0.9997 train time = 3.4240 sec
[93m VALIDATION: loss = 0.0018 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 258[0m
TRAIN (Ep avg): loss = 0.0010 mic = 0.9996 mac = 0.9990 train time = 3.2655 sec
[93m VALIDATION: loss = 0.0017 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 259[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9993 mac = 0.9980 train time = 3.5039 sec
[93m VALIDATION: loss = 0.0017 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 260[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9995 mac = 0.9990 train time = 3.2570 sec
[93m VALIDATION: loss = 0.0016 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 261[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9995 mac = 0.9985 train time = 3.2496 sec
[93m VALIDATION: loss = 0.0015 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 262[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9986 mac = 0.9958 train time = 3.5485 sec
[93m VALIDATION: loss = 0.0016 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 263[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.2478 sec
[93m VALIDATION: loss = 0.0017 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 264[0m
TRAIN (Ep avg): loss = 0.0027 mic = 0.9993 mac = 0.9984 train time = 3.2264 sec
[93m VALIDATION: loss = 0.0021 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 265[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9989 mac = 0.9970 train time = 3.1696 sec
[93m VALIDATION: loss = 0.0024 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 266[0m
sampling 200 subgraphs: time = 0.335 sec
TRAIN (Ep avg): loss = 0.0016 mic = 0.9996 mac = 0.9994 train time = 3.2204 sec
[93m VALIDATION: loss = 0.0025 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 267[0m
TRAIN (Ep avg): loss = 0.0018 mic = 0.9991 mac = 0.9975 train time = 3.3045 sec
[93m VALIDATION: loss = 0.0028 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 268[0m
TRAIN (Ep avg): loss = 0.0005 mic = 1.0000 mac = 1.0000 train time = 3.2973 sec
[93m VALIDATION: loss = 0.0031 mic = 0.9998 mac = 0.9996[0m
[1mEpoch 269[0m
TRAIN (Ep avg): loss = 0.0017 mic = 0.9993 mac = 0.9979 train time = 3.2847 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 270[0m
TRAIN (Ep avg): loss = 0.0007 mic = 0.9998 mac = 0.9997 train time = 3.0655 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 271[0m
TRAIN (Ep avg): loss = 0.0002 mic = 1.0000 mac = 1.0000 train time = 3.4211 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 272[0m
TRAIN (Ep avg): loss = 0.0006 mic = 1.0000 mac = 1.0000 train time = 3.2650 sec
[93m VALIDATION: loss = 0.0028 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 273[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9998 mac = 0.9997 train time = 3.2596 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 274[0m
TRAIN (Ep avg): loss = 0.0022 mic = 0.9984 mac = 0.9954 train time = 3.3354 sec
[93m VALIDATION: loss = 0.0028 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 275[0m
TRAIN (Ep avg): loss = 0.0004 mic = 0.9998 mac = 0.9995 train time = 3.3339 sec
[93m VALIDATION: loss = 0.0030 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 276[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9995 mac = 0.9985 train time = 3.4282 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 277[0m
TRAIN (Ep avg): loss = 0.0005 mic = 0.9998 mac = 0.9997 train time = 3.3246 sec
[93m VALIDATION: loss = 0.0036 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 278[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9996 mac = 0.9990 train time = 3.1689 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 279[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9995 mac = 0.9985 train time = 3.1669 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 280[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9993 mac = 0.9980 train time = 3.1668 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 281[0m
TRAIN (Ep avg): loss = 0.0040 mic = 0.9991 mac = 0.9979 train time = 3.3834 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 282[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.2107 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 283[0m
TRAIN (Ep avg): loss = 0.0015 mic = 0.9993 mac = 0.9982 train time = 3.3825 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 284[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9993 mac = 0.9983 train time = 3.4088 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 285[0m
TRAIN (Ep avg): loss = 0.0005 mic = 0.9998 mac = 0.9997 train time = 3.4042 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 286[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9995 mac = 0.9987 train time = 3.4787 sec
[93m VALIDATION: loss = 0.0034 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 287[0m
TRAIN (Ep avg): loss = 0.0086 mic = 0.9975 mac = 0.9939 train time = 3.7288 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 288[0m
TRAIN (Ep avg): loss = 0.0007 mic = 1.0000 mac = 1.0000 train time = 3.1341 sec
[93m VALIDATION: loss = 0.0035 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 289[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9998 mac = 0.9995 train time = 3.1961 sec
[93m VALIDATION: loss = 0.0033 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 290[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9986 mac = 0.9963 train time = 3.2100 sec
[93m VALIDATION: loss = 0.0036 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 291[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9998 mac = 0.9995 train time = 3.1543 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 292[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9998 mac = 0.9995 train time = 3.1084 sec
[93m VALIDATION: loss = 0.0048 mic = 0.9992 mac = 0.9977[0m
[1mEpoch 293[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9995 mac = 0.9984 train time = 3.3616 sec
[93m VALIDATION: loss = 0.0045 mic = 0.9994 mac = 0.9983[0m
[1mEpoch 294[0m
TRAIN (Ep avg): loss = 0.0014 mic = 0.9995 mac = 0.9985 train time = 3.2642 sec
[93m VALIDATION: loss = 0.0040 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 295[0m
TRAIN (Ep avg): loss = 0.0045 mic = 0.9982 mac = 0.9964 train time = 3.3262 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 296[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9995 mac = 0.9984 train time = 3.1636 sec
[93m VALIDATION: loss = 0.0031 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 297[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9993 mac = 0.9989 train time = 3.1495 sec
[93m VALIDATION: loss = 0.0029 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 298[0m
TRAIN (Ep avg): loss = 0.0008 mic = 0.9998 mac = 0.9997 train time = 3.4754 sec
[93m VALIDATION: loss = 0.0026 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 299[0m
TRAIN (Ep avg): loss = 0.0013 mic = 0.9998 mac = 0.9997 train time = 3.1936 sec
[93m VALIDATION: loss = 0.0022 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 300[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9998 mac = 0.9997 train time = 3.3456 sec
[93m VALIDATION: loss = 0.0018 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 301[0m
TRAIN (Ep avg): loss = 0.0019 mic = 0.9993 mac = 0.9981 train time = 3.1380 sec
[93m VALIDATION: loss = 0.0018 mic = 0.9998 mac = 0.9994[0m
[1mEpoch 302[0m
TRAIN (Ep avg): loss = 0.0006 mic = 0.9996 mac = 0.9992 train time = 3.1218 sec
[93m VALIDATION: loss = 0.0021 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 303[0m
TRAIN (Ep avg): loss = 0.0001 mic = 1.0000 mac = 1.0000 train time = 3.2187 sec
[93m VALIDATION: loss = 0.0023 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 304[0m
TRAIN (Ep avg): loss = 0.0021 mic = 0.9993 mac = 0.9984 train time = 3.2261 sec
[93m VALIDATION: loss = 0.0023 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 305[0m
TRAIN (Ep avg): loss = 0.0002 mic = 1.0000 mac = 1.0000 train time = 3.2274 sec
[93m VALIDATION: loss = 0.0021 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 306[0m
TRAIN (Ep avg): loss = 0.0029 mic = 0.9996 mac = 0.9990 train time = 3.1376 sec
[93m VALIDATION: loss = 0.0016 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 307[0m
TRAIN (Ep avg): loss = 0.0041 mic = 0.9988 mac = 0.9968 train time = 3.3654 sec
[93m VALIDATION: loss = 0.0013 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 308[0m
TRAIN (Ep avg): loss = 0.0009 mic = 0.9996 mac = 0.9990 train time = 3.2681 sec
[93m VALIDATION: loss = 0.0011 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 309[0m
TRAIN (Ep avg): loss = 0.0005 mic = 1.0000 mac = 1.0000 train time = 3.3302 sec
[93m VALIDATION: loss = 0.0012 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 310[0m
TRAIN (Ep avg): loss = 0.0004 mic = 1.0000 mac = 1.0000 train time = 3.2720 sec
[93m VALIDATION: loss = 0.0016 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 311[0m
TRAIN (Ep avg): loss = 0.0009 mic = 1.0000 mac = 1.0000 train time = 3.2701 sec
[93m VALIDATION: loss = 0.0023 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 312[0m
TRAIN (Ep avg): loss = 0.0016 mic = 0.9995 mac = 0.9985 train time = 3.5755 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 313[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9998 mac = 0.9997 train time = 3.3238 sec
[93m VALIDATION: loss = 0.0025 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 314[0m
TRAIN (Ep avg): loss = 0.0003 mic = 1.0000 mac = 1.0000 train time = 3.2445 sec
[93m VALIDATION: loss = 0.0026 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 315[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9989 mac = 0.9972 train time = 3.0944 sec
[93m VALIDATION: loss = 0.0027 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 316[0m
TRAIN (Ep avg): loss = 0.0036 mic = 0.9986 mac = 0.9961 train time = 3.2082 sec
[93m VALIDATION: loss = 0.0032 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 317[0m
TRAIN (Ep avg): loss = 0.0026 mic = 0.9995 mac = 0.9988 train time = 3.2108 sec
[93m VALIDATION: loss = 0.0034 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 318[0m
TRAIN (Ep avg): loss = 0.0020 mic = 0.9993 mac = 0.9981 train time = 3.2645 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 319[0m
TRAIN (Ep avg): loss = 0.0028 mic = 0.9989 mac = 0.9973 train time = 3.2316 sec
[93m VALIDATION: loss = 0.0037 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 320[0m
TRAIN (Ep avg): loss = 0.0008 mic = 1.0000 mac = 1.0000 train time = 3.2405 sec
[93m VALIDATION: loss = 0.0038 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 321[0m
TRAIN (Ep avg): loss = 0.0012 mic = 0.9989 mac = 0.9973 train time = 3.3565 sec
[93m VALIDATION: loss = 0.0040 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 322[0m
TRAIN (Ep avg): loss = 0.0011 mic = 0.9996 mac = 0.9991 train time = 3.0089 sec
[93m VALIDATION: loss = 0.0039 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 323[0m
TRAIN (Ep avg): loss = 0.0057 mic = 0.9982 mac = 0.9948 train time = 3.3390 sec
[93m VALIDATION: loss = 0.0041 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 324[0m
TRAIN (Ep avg): loss = 0.0007 mic = 0.9996 mac = 0.9990 train time = 3.1764 sec
[93m VALIDATION: loss = 0.0044 mic = 1.0000 mac = 1.0000[0m
[1mEpoch 325[0m
TRAIN (Ep avg): loss = 0.0031 mic = 0.9986 mac = 0.9964 train time = 3.3431 sec
[93m VALIDATION: loss = 0.0045 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 326[0m
TRAIN (Ep avg): loss = 0.0005 mic = 0.9998 mac = 0.9995 train time = 3.2435 sec
[93m VALIDATION: loss = 0.0044 mic = 0.9996 mac = 0.9989[0m
[1mEpoch 327[0m
TRAIN (Ep avg): loss = 0.0005 mic = 1.0000 mac = 1.0000 train time = 3.2360 sec
[93m VALIDATION: loss = 0.0039 mic = 0.9996 mac = 0.9989[0m