------------------------------------------------------------------------------------------------------------------------
Vector testing report
Params:
    conf: "conf/embeddings_validation_semi_supervised.hocon"

Collected 90 files with 0 errors

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Metric: "auroc"
                                scores_train                                                             
                                        mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                  
lgbm       baseline_0225               0.833 0.033   0.800   0.867 0.027  [0.802 0.814 0.842 0.838 0.871]
           baseline_0450               0.912 0.010   0.902   0.922 0.008  [0.909 0.905 0.905 0.920 0.921]
           baseline_0900               0.946 0.004   0.943   0.950 0.003  [0.950 0.949 0.942 0.945 0.946]
           baseline_1800               0.956 0.002   0.954   0.957 0.002  [0.958 0.955 0.955 0.954 0.956]
           baseline_3600               0.942 0.001   0.941   0.944 0.001  [0.942 0.944 0.941 0.941 0.943]
           cpc_embeddings_0225         0.925 0.015   0.910   0.940 0.012  [0.921 0.909 0.928 0.942 0.927]
           cpc_embeddings_0450         0.971 0.003   0.968   0.974 0.003  [0.974 0.972 0.968 0.971 0.969]
           cpc_embeddings_0900         0.990 0.002   0.989   0.992 0.001  [0.991 0.992 0.990 0.988 0.991]
           cpc_embeddings_1800         0.993 0.001   0.992   0.994 0.001  [0.994 0.993 0.994 0.992 0.993]
           cpc_embeddings_3600         0.989 0.001   0.988   0.990 0.001  [0.990 0.989 0.989 0.988 0.988]
           mles_embeddings_0225        0.947 0.011   0.936   0.959 0.009  [0.948 0.933 0.958 0.952 0.946]
           mles_embeddings_0450        0.983 0.002   0.981   0.985 0.002  [0.983 0.984 0.985 0.982 0.981]
           mles_embeddings_0900        0.996 0.001   0.995   0.997 0.001  [0.996 0.996 0.996 0.994 0.996]
           mles_embeddings_1800        0.998 0.001   0.997   0.998 0.001  [0.998 0.998 0.998 0.997 0.998]
           mles_embeddings_3600        0.996 0.000   0.995   0.996 0.000  [0.996 0.996 0.996 0.996 0.996]
nn         cpc_finetuning_0225         0.857 0.023   0.834   0.880 0.018  [0.882 0.865 0.832 0.855 0.851]
           cpc_finetuning_0450         0.837 0.027   0.809   0.864 0.022  [0.850 0.810 0.816 0.859 0.848]
           cpc_finetuning_0900         0.822 0.021   0.802   0.843 0.017  [0.850 0.808 0.816 0.824 0.814]
           cpc_finetuning_1800         0.823 0.010   0.813   0.834 0.008  [0.833 0.811 0.826 0.827 0.819]
           cpc_finetuning_3600         0.839 0.008   0.830   0.847 0.007  [0.848 0.833 0.844 0.835 0.833]
           mles_finetuning_0225        0.956 0.021   0.935   0.977 0.017  [0.965 0.949 0.972 0.965 0.929]
           mles_finetuning_0450        0.937 0.009   0.928   0.946 0.007  [0.927 0.936 0.939 0.947 0.937]
           mles_finetuning_0900        0.907 0.013   0.894   0.920 0.010  [0.920 0.908 0.913 0.893 0.901]
           mles_finetuning_1800        0.891 0.017   0.875   0.908 0.013  [0.898 0.868 0.897 0.899 0.896]
           mles_finetuning_3600        0.884 0.009   0.875   0.894 0.008  [0.892 0.872 0.886 0.884 0.887]
           target_scores_0225          0.853 0.018   0.836   0.871 0.014  [0.877 0.842 0.850 0.853 0.845]
           target_scores_0450          0.853 0.017   0.836   0.870 0.013  [0.850 0.839 0.871 0.862 0.843]
           target_scores_0900          0.856 0.015   0.841   0.871 0.012  [0.872 0.849 0.847 0.864 0.845]
           target_scores_1800          0.863 0.012   0.851   0.875 0.010  [0.865 0.847 0.870 0.863 0.871]
           target_scores_3600          0.873 0.008   0.865   0.882 0.007  [0.879 0.867 0.880 0.866 0.875]
                                scores_valid                                                             
                                        mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                  
lgbm       baseline_0225               0.732 0.019   0.714   0.751 0.015  [0.733 0.740 0.753 0.714 0.723]
           baseline_0450               0.756 0.022   0.734   0.778 0.017  [0.760 0.741 0.783 0.755 0.741]
           baseline_0900               0.777 0.022   0.755   0.799 0.018  [0.792 0.764 0.800 0.770 0.759]
           baseline_1800               0.794 0.020   0.774   0.814 0.016  [0.807 0.771 0.812 0.796 0.785]
           baseline_3600               0.807 0.013   0.794   0.820 0.010  [0.817 0.798 0.817 0.807 0.796]
           cpc_embeddings_0225         0.757 0.024   0.733   0.781 0.019  [0.763 0.743 0.788 0.743 0.747]
           cpc_embeddings_0450         0.769 0.031   0.739   0.800 0.025  [0.783 0.739 0.803 0.763 0.758]
           cpc_embeddings_0900         0.779 0.026   0.752   0.805 0.021  [0.799 0.750 0.800 0.771 0.773]
           cpc_embeddings_1800         0.790 0.021   0.770   0.811 0.017  [0.800 0.773 0.814 0.778 0.787]
           cpc_embeddings_3600         0.801 0.019   0.782   0.819 0.015  [0.816 0.779 0.814 0.797 0.797]
           mles_embeddings_0225        0.772 0.014   0.758   0.786 0.011  [0.784 0.768 0.784 0.764 0.760]
           mles_embeddings_0450        0.786 0.016   0.770   0.802 0.013  [0.792 0.781 0.805 0.774 0.776]
           mles_embeddings_0900        0.804 0.020   0.784   0.823 0.016  [0.820 0.783 0.817 0.793 0.807]
           mles_embeddings_1800        0.815 0.019   0.796   0.834 0.015  [0.823 0.792 0.832 0.808 0.820]
           mles_embeddings_3600        0.823 0.016   0.806   0.839 0.013  [0.832 0.802 0.829 0.817 0.834]
nn         cpc_finetuning_0225         0.756 0.021   0.735   0.777 0.017  [0.764 0.761 0.728 0.756 0.772]
           cpc_finetuning_0450         0.764 0.024   0.740   0.789 0.020  [0.760 0.789 0.737 0.775 0.759]
           cpc_finetuning_0900         0.767 0.026   0.742   0.793 0.021  [0.760 0.779 0.734 0.786 0.778]
           cpc_finetuning_1800         0.778 0.022   0.756   0.801 0.018  [0.756 0.796 0.761 0.788 0.789]
           cpc_finetuning_3600         0.793 0.023   0.770   0.816 0.019  [0.772 0.813 0.775 0.804 0.803]
           mles_finetuning_0225        0.763 0.022   0.741   0.785 0.018  [0.771 0.766 0.734 0.782 0.761]
           mles_finetuning_0450        0.778 0.017   0.762   0.795 0.014  [0.773 0.791 0.765 0.795 0.769]
           mles_finetuning_0900        0.790 0.025   0.765   0.814 0.020  [0.798 0.803 0.757 0.805 0.785]
           mles_finetuning_1800        0.804 0.026   0.778   0.829 0.021  [0.795 0.819 0.773 0.824 0.809]
           mles_finetuning_3600        0.816 0.022   0.794   0.837 0.018  [0.805 0.830 0.790 0.829 0.824]
           target_scores_0225          0.737 0.020   0.717   0.757 0.016  [0.750 0.756 0.720 0.736 0.723]
           target_scores_0450          0.755 0.024   0.732   0.779 0.019  [0.758 0.781 0.739 0.764 0.734]
           target_scores_0900          0.765 0.017   0.748   0.782 0.014  [0.769 0.780 0.750 0.774 0.751]
           target_scores_1800          0.789 0.017   0.772   0.806 0.014  [0.776 0.799 0.772 0.800 0.798]
           target_scores_3600          0.810 0.023   0.787   0.833 0.019  [0.803 0.823 0.780 0.826 0.817]
                                scores_test                                                             
                                       mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                 
lgbm       baseline_0225              0.783 0.017   0.766   0.800 0.014  [0.776 0.796 0.792 0.762 0.789]
           baseline_0450              0.802 0.016   0.786   0.818 0.013  [0.810 0.784 0.812 0.810 0.792]
           baseline_0900              0.813 0.008   0.805   0.821 0.007  [0.817 0.802 0.818 0.811 0.816]
           baseline_1800              0.817 0.013   0.804   0.831 0.011  [0.802 0.831 0.820 0.813 0.821]
           baseline_3600              0.828 0.004   0.824   0.832 0.003  [0.824 0.833 0.828 0.829 0.828]
           cpc_embeddings_0225        0.770 0.036   0.734   0.806 0.029  [0.760 0.793 0.789 0.724 0.785]
           cpc_embeddings_0450        0.773 0.009   0.764   0.782 0.007  [0.782 0.770 0.765 0.778 0.769]
           cpc_embeddings_0900        0.775 0.010   0.765   0.785 0.008  [0.784 0.775 0.781 0.774 0.763]
           cpc_embeddings_1800        0.792 0.006   0.786   0.799 0.005  [0.796 0.793 0.796 0.792 0.784]
           cpc_embeddings_3600        0.801 0.005   0.796   0.806 0.004  [0.803 0.804 0.797 0.806 0.796]
           mles_embeddings_0225       0.813 0.013   0.800   0.825 0.010  [0.823 0.804 0.821 0.800 0.814]
           mles_embeddings_0450       0.820 0.015   0.805   0.834 0.012  [0.815 0.821 0.816 0.839 0.808]
           mles_embeddings_0900       0.830 0.008   0.822   0.839 0.007  [0.826 0.829 0.822 0.837 0.837]
           mles_embeddings_1800       0.836 0.006   0.831   0.842 0.005  [0.832 0.836 0.833 0.836 0.844]
           mles_embeddings_3600       0.840 0.004   0.837   0.844 0.003  [0.836 0.844 0.842 0.839 0.842]
nn         cpc_finetuning_0225        0.783 0.017   0.766   0.800 0.014  [0.777 0.779 0.778 0.773 0.807]
           cpc_finetuning_0450        0.789 0.010   0.779   0.799 0.008  [0.779 0.793 0.785 0.800 0.789]
           cpc_finetuning_0900        0.803 0.017   0.786   0.820 0.014  [0.779 0.809 0.808 0.805 0.812]
           cpc_finetuning_1800        0.801 0.012   0.789   0.813 0.010  [0.784 0.807 0.807 0.801 0.806]
           cpc_finetuning_3600        0.809 0.005   0.803   0.814 0.004  [0.803 0.806 0.812 0.810 0.813]
           mles_finetuning_0225       0.781 0.006   0.775   0.787 0.005  [0.777 0.777 0.789 0.782 0.778]
           mles_finetuning_0450       0.804 0.013   0.791   0.817 0.010  [0.791 0.798 0.814 0.814 0.805]
           mles_finetuning_0900       0.808 0.004   0.803   0.812 0.004  [0.804 0.813 0.805 0.809 0.807]
           mles_finetuning_1800       0.813 0.007   0.806   0.820 0.006  [0.809 0.821 0.807 0.812 0.817]
           mles_finetuning_3600       0.820 0.006   0.815   0.826 0.005  [0.825 0.822 0.824 0.817 0.814]
           target_scores_0225         0.740 0.018   0.722   0.757 0.014  [0.727 0.727 0.749 0.736 0.759]
           target_scores_0450         0.756 0.009   0.747   0.765 0.008  [0.758 0.761 0.743 0.757 0.761]
           target_scores_0900         0.791 0.016   0.775   0.807 0.013  [0.782 0.788 0.809 0.799 0.778]
           target_scores_1800         0.806 0.007   0.799   0.813 0.005  [0.798 0.808 0.812 0.804 0.808]
           target_scores_3600         0.815 0.009   0.807   0.824 0.007  [0.805 0.824 0.818 0.814 0.813]

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Metric: "accuracy"
                                scores_train                                                             
                                        mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                  
lgbm       baseline_0225               0.755 0.025   0.729   0.780 0.020  [0.733 0.733 0.760 0.769 0.778]
           baseline_0450               0.833 0.028   0.804   0.861 0.023  [0.811 0.816 0.824 0.849 0.864]
           baseline_0900               0.875 0.010   0.865   0.884 0.008  [0.873 0.884 0.863 0.876 0.878]
           baseline_1800               0.891 0.006   0.885   0.897 0.005  [0.897 0.892 0.884 0.889 0.894]
           baseline_3600               0.872 0.002   0.870   0.875 0.002  [0.869 0.872 0.873 0.874 0.873]
           cpc_embeddings_0225         0.854 0.033   0.821   0.887 0.027  [0.831 0.822 0.871 0.884 0.862]
           cpc_embeddings_0450         0.911 0.009   0.902   0.920 0.007  [0.913 0.900 0.918 0.916 0.907]
           cpc_embeddings_0900         0.948 0.004   0.943   0.952 0.003  [0.949 0.948 0.952 0.943 0.946]
           cpc_embeddings_1800         0.960 0.005   0.954   0.965 0.004  [0.958 0.965 0.962 0.954 0.959]
           cpc_embeddings_3600         0.949 0.002   0.947   0.952 0.002  [0.952 0.951 0.948 0.949 0.948]
           mles_embeddings_0225        0.873 0.006   0.867   0.879 0.005  [0.867 0.871 0.871 0.880 0.876]
           mles_embeddings_0450        0.931 0.008   0.923   0.939 0.006  [0.936 0.936 0.922 0.927 0.936]
           mles_embeddings_0900        0.967 0.007   0.960   0.974 0.005  [0.969 0.972 0.964 0.959 0.971]
           mles_embeddings_1800        0.973 0.003   0.969   0.976 0.003  [0.972 0.976 0.975 0.969 0.971]
           mles_embeddings_3600        0.968 0.002   0.966   0.971 0.002  [0.968 0.971 0.966 0.969 0.968]
nn         cpc_finetuning_0225           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0450           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0900           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_1800           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_3600           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0225          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0450          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0900          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_1800          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_3600          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0225            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0450            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0900            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_1800            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_3600            nan   nan     nan     nan   nan            [nan nan nan nan nan]
                                scores_valid                                                             
                                        mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                  
lgbm       baseline_0225               0.674 0.017   0.658   0.691 0.014  [0.661 0.689 0.688 0.661 0.673]
           baseline_0450               0.681 0.014   0.667   0.694 0.011  [0.689 0.678 0.691 0.682 0.663]
           baseline_0900               0.708 0.021   0.687   0.729 0.017  [0.728 0.698 0.717 0.713 0.684]
           baseline_1800               0.721 0.019   0.701   0.740 0.015  [0.738 0.699 0.731 0.723 0.712]
           baseline_3600               0.736 0.023   0.713   0.760 0.019  [0.766 0.722 0.744 0.728 0.722]
           cpc_embeddings_0225         0.690 0.017   0.673   0.706 0.013  [0.681 0.682 0.713 0.687 0.684]
           cpc_embeddings_0450         0.696 0.025   0.671   0.720 0.020  [0.700 0.673 0.724 0.700 0.681]
           cpc_embeddings_0900         0.709 0.026   0.683   0.736 0.021  [0.738 0.687 0.724 0.701 0.697]
           cpc_embeddings_1800         0.715 0.017   0.699   0.732 0.013  [0.729 0.698 0.729 0.712 0.709]
           cpc_embeddings_3600         0.728 0.014   0.713   0.742 0.011  [0.739 0.714 0.737 0.731 0.717]
           mles_embeddings_0225        0.698 0.014   0.684   0.711 0.011  [0.700 0.699 0.710 0.700 0.680]
           mles_embeddings_0450        0.706 0.021   0.684   0.727 0.017  [0.716 0.711 0.726 0.691 0.684]
           mles_embeddings_0900        0.728 0.020   0.709   0.748 0.016  [0.738 0.710 0.747 0.713 0.734]
           mles_embeddings_1800        0.739 0.017   0.722   0.756 0.014  [0.733 0.720 0.758 0.743 0.741]
           mles_embeddings_3600        0.750 0.018   0.732   0.767 0.014  [0.764 0.734 0.741 0.742 0.766]
nn         cpc_finetuning_0225           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0450           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0900           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_1800           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_3600           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0225          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0450          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0900          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_1800          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_3600          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0225            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0450            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0900            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_1800            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_3600            nan   nan     nan     nan   nan            [nan nan nan nan nan]
                                scores_test                                                             
                                       mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                 
lgbm       baseline_0225              0.707 0.012   0.694   0.719 0.010  [0.692 0.716 0.716 0.704 0.706]
           baseline_0450              0.725 0.017   0.708   0.742 0.014  [0.714 0.708 0.726 0.740 0.736]
           baseline_0900              0.745 0.014   0.730   0.759 0.012  [0.740 0.728 0.746 0.752 0.758]
           baseline_1800              0.745 0.015   0.730   0.760 0.012  [0.734 0.756 0.738 0.736 0.760]
           baseline_3600              0.749 0.006   0.743   0.756 0.005  [0.752 0.750 0.756 0.744 0.744]
           cpc_embeddings_0225        0.700 0.022   0.677   0.722 0.018  [0.682 0.722 0.708 0.680 0.706]
           cpc_embeddings_0450        0.710 0.013   0.697   0.722 0.010  [0.724 0.716 0.702 0.700 0.706]
           cpc_embeddings_0900        0.711 0.019   0.692   0.729 0.015  [0.726 0.706 0.722 0.712 0.688]
           cpc_embeddings_1800        0.732 0.014   0.717   0.746 0.011  [0.738 0.732 0.726 0.746 0.716]
           cpc_embeddings_3600        0.741 0.009   0.732   0.750 0.007  [0.738 0.744 0.748 0.746 0.730]
           mles_embeddings_0225       0.729 0.011   0.718   0.740 0.009  [0.732 0.718 0.742 0.726 0.728]
           mles_embeddings_0450       0.744 0.027   0.717   0.772 0.022  [0.728 0.742 0.740 0.782 0.730]
           mles_embeddings_0900       0.748 0.010   0.738   0.758 0.008  [0.748 0.748 0.738 0.760 0.746]
           mles_embeddings_1800       0.754 0.014   0.740   0.767 0.011  [0.758 0.752 0.744 0.744 0.770]
           mles_embeddings_3600       0.756 0.012   0.744   0.767 0.010  [0.750 0.766 0.742 0.760 0.760]
nn         cpc_finetuning_0225          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0450          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_0900          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_1800          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_3600          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0225         nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0450         nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_0900         nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_1800         nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_3600         nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0225           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0450           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_0900           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_1800           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_3600           nan   nan     nan     nan   nan            [nan nan nan nan nan]

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Metric: "cnt_features"
                                scores_train scores_valid scores_test
                                        mean         mean        mean
model_name feature_name                                              
lgbm       baseline_0225                 362          362         362
           baseline_0450                 362          362         362
           baseline_0900                 362          362         362
           baseline_1800                 362          362         362
           baseline_3600                 362          362         362
           cpc_embeddings_0225           512          512         512
           cpc_embeddings_0450           512          512         512
           cpc_embeddings_0900           512          512         512
           cpc_embeddings_1800           512          512         512
           cpc_embeddings_3600           512          512         512
           mles_embeddings_0225         1024         1024        1024
           mles_embeddings_0450         1024         1024        1024
           mles_embeddings_0900         1024         1024        1024
           mles_embeddings_1800         1024         1024        1024
           mles_embeddings_3600         1024         1024        1024
nn         cpc_finetuning_0225           512          512         512
           cpc_finetuning_0450           512          512         512
           cpc_finetuning_0900           512          512         512
           cpc_finetuning_1800           512          512         512
           cpc_finetuning_3600           512          512         512
           mles_finetuning_0225          512          512         512
           mles_finetuning_0450          512          512         512
           mles_finetuning_0900          512          512         512
           mles_finetuning_1800          512          512         512
           mles_finetuning_3600          512          512         512
           target_scores_0225             48           48          48
           target_scores_0450             48           48          48
           target_scores_0900             48           48          48
           target_scores_1800             48           48          48
           target_scores_3600             48           48          48

------------------------------------------------------------------------------------------------------------------------
Metric: "cnt_samples"
                                scores_train scores_valid scores_test
                                        mean         mean        mean
model_name feature_name                                              
lgbm       baseline_0225                 225          900         500
           baseline_0450                 450          900         500
           baseline_0900                 900          900         500
           baseline_1800               1,800          900         500
           baseline_3600               3,600          900         500
           cpc_embeddings_0225           225          900         500
           cpc_embeddings_0450           450          900         500
           cpc_embeddings_0900           900          900         500
           cpc_embeddings_1800         1,800          900         500
           cpc_embeddings_3600         3,600          900         500
           mles_embeddings_0225          225          900         500
           mles_embeddings_0450          450          900         500
           mles_embeddings_0900          900          900         500
           mles_embeddings_1800        1,800          900         500
           mles_embeddings_3600        3,600          900         500
nn         cpc_finetuning_0225           225          900         500
           cpc_finetuning_0450           450          900         500
           cpc_finetuning_0900           900          900         500
           cpc_finetuning_1800         1,800          900         500
           cpc_finetuning_3600         3,600          900         500
           mles_finetuning_0225          225          900         500
           mles_finetuning_0450          450          900         500
           mles_finetuning_0900          900          900         500
           mles_finetuning_1800        1,800          900         500
           mles_finetuning_3600        3,600          900         500
           target_scores_0225            225          900         500
           target_scores_0450            450          900         500
           target_scores_0900            900          900         500
           target_scores_1800          1,800          900         500
           target_scores_3600          3,600          900         500

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End of report.     Current time: 2020-09-30 07:23:24
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