Package evaluation of SDeMo on Julia 1.13.0-DEV.453 (0d3c9b0bb4*) started at 2025-05-03T08:49:23.286


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.16s


################################################################################
# Installation
#

Installing SDeMo...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [3e5feb82] + SDeMo v1.4.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [66dad0bd] + AliasTables v1.1.3
  [7d9fca2a] + Arpack v0.5.4
  [34da2185] + Compat v4.16.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [31c24e10] + Distributions v0.25.119
  [ffbed154] + DocStringExtensions v0.9.4
  [1a297f60] + FillArrays v1.13.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [92d709cd] + IrrationalConstants v0.2.4
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e1d29d7a] + Missings v1.2.0
  [6f286f6a] + MultivariateStats v0.10.3
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.34
  [69de0a69] + Parsers v2.8.3
  [aea7be01] + PrecompileTools v1.3.2
  [21216c6a] + Preferences v1.4.3
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [189a3867] + Reexport v1.2.2
  [79098fc4] + Rmath v0.8.0
  [3e5feb82] + SDeMo v1.4.0
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.1
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
  [2913bbd2] + StatsBase v0.34.4
  [4c63d2b9] + StatsFuns v1.5.0
  [1c621080] + TestItems v1.0.0
⌅ [68821587] + Arpack_jll v3.5.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.12.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] + LibCURL_jll v8.12.1+1
  [e37daf67] + LibGit2_jll v1.9.0+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2024.12.31
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.0.16+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+0
  [8e850ede] + nghttp2_jll v1.65.0+0
  [3f19e933] + p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 4.13s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling packages...
   5705.5 ms  ✓ TestEnv
  1 dependency successfully precompiled in 6 seconds. 25 already precompiled.

Precompiling package dependencies...

Precompilation completed after 159.7s


################################################################################
# Testing
#

     Testing SDeMo
      Status `/tmp/jl_oUhqLi/Project.toml`
  [3e5feb82] SDeMo v1.4.0
  [10745b16] Statistics v1.11.1
  [f8b46487] TestItemRunner v1.1.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_oUhqLi/Manifest.toml`
  [66dad0bd] AliasTables v1.1.3
  [7d9fca2a] Arpack v0.5.4
  [34da2185] Compat v4.16.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [31c24e10] Distributions v0.25.119
  [ffbed154] DocStringExtensions v0.9.4
  [1a297f60] FillArrays v1.13.0
  [34004b35] HypergeometricFunctions v0.3.28
  [92d709cd] IrrationalConstants v0.2.4
  [692b3bcd] JLLWrappers v1.7.0
  [682c06a0] JSON v0.21.4
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e1d29d7a] Missings v1.2.0
  [6f286f6a] MultivariateStats v0.10.3
  [bac558e1] OrderedCollections v1.8.0
  [90014a1f] PDMats v0.11.34
  [69de0a69] Parsers v2.8.3
  [aea7be01] PrecompileTools v1.3.2
  [21216c6a] Preferences v1.4.3
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [189a3867] Reexport v1.2.2
  [79098fc4] Rmath v0.8.0
  [3e5feb82] SDeMo v1.4.0
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.1
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.4
  [4c63d2b9] StatsFuns v1.5.0
  [f8b46487] TestItemRunner v1.1.0
  [1c621080] TestItems v1.0.0
⌅ [68821587] Arpack_jll v3.5.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.12.1+1
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2024.12.31
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.0.16+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.12.0+0
  [8e850ede] nghttp2_jll v1.65.0+0
  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:90
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:90
[ Info: [ 2 vars.] MCC val. ≈ -0.0
[ Info: [ 3 vars.] MCC val. ≈ 0.483
[ Info: Optimal var. pool: [1, 12, 16]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:44
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:44
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:90
[ Info: [ 0 vars.] MCC val. ≈ -0.0
[ Info: [ 1 vars.] MCC val. ≈ 0.759
[ Info: [ 2 vars.] MCC val. ≈ 0.766
[ Info: Optimal var. pool: [8, 7]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:44
[ Info: [19 vars.] MCC val. ≈ -0.0
[ Info: [18 vars.] MCC val. ≈ 0.528
[ Info: [17 vars.] MCC val. ≈ 0.779
[ Info: [16 vars.] MCC val. ≈ 0.78
[ Info: [15 vars.] MCC val. ≈ 0.793
[ Info: [14 vars.] MCC val. ≈ 0.8
[ Info: Optimal var. pool: [1, 2, 3, 4, 6, 7, 8, 10, 11, 13, 14, 15, 16, 18]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:44
[ Info: [ 9 vars.] MCC val. ≈ -0.0
[ Info: [ 8 vars.] MCC val. ≈ 0.767
[ Info: [ 7 vars.] MCC val. ≈ 0.781
[ Info: [ 6 vars.] MCC val. ≈ 0.788
[ Info: [ 5 vars.] MCC val. ≈ 0.788
[ Info: [ 4 vars.] MCC val. ≈ 0.789
[ Info: Optimal var. pool: [2, 3, 6, 7]
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:90
[ Info: [ 2 vars.] MCC val. ≈ -0.0
[ Info: [ 3 vars.] MCC val. ≈ 0.511
[ Info: Optimal var. pool: [12, 13, 1]
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/selection.jl:90
[ Info: [ 0 vars.] MCC val. ≈ -0.0
[ Info: [ 1 vars.] MCC val. ≈ 0.734
[ Info: [ 2 vars.] MCC val. ≈ 0.755
[ Info: Optimal var. pool: [8, 5]
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/WBmCZ/src/variables/vif.jl:24
[ Info: Baseline mcc: -2.8367742685852565e-17
[ Info: Optimal 1 variables model - mcc ≈ 0.7311
[ Info: Optimal 2 variables model - mcc ≈ 0.7599
[ Info: Optimal 3 variables model - mcc ≈ 0.765
[ Info: Returning model with 4 variables - mcc ≈ 0.765
[ Info: [  0%] LOSS: training ≈ 0.4823 validation ≈ 0.5104 (106%)
[ Info: [  1%] LOSS: training ≈ 0.4051 validation ≈ 0.4616 (114%)
[ Info: [  2%] LOSS: training ≈ 0.3671 validation ≈ 0.44   (120%)
[ Info: [  2%] LOSS: training ≈ 0.3444 validation ≈ 0.4281 (124%)
[ Info: [  2%] LOSS: training ≈ 0.3292 validation ≈ 0.4207 (128%)
[ Info: [  3%] LOSS: training ≈ 0.3182 validation ≈ 0.4157 (131%)
[ Info: [  4%] LOSS: training ≈ 0.3098 validation ≈ 0.412  (133%)
[ Info: [  4%] LOSS: training ≈ 0.3031 validation ≈ 0.4091 (135%)
[ Info: [  4%] LOSS: training ≈ 0.2977 validation ≈ 0.4068 (137%)
[ Info: [  5%] LOSS: training ≈ 0.2931 validation ≈ 0.4048 (138%)
[ Info: [  6%] LOSS: training ≈ 0.2891 validation ≈ 0.4032 (139%)
[ Info: [  6%] LOSS: training ≈ 0.2857 validation ≈ 0.4017 (141%)
[ Info: [  6%] LOSS: training ≈ 0.2826 validation ≈ 0.4004 (142%)
[ Info: [  7%] LOSS: training ≈ 0.2799 validation ≈ 0.3992 (143%)
[ Info: [  8%] LOSS: training ≈ 0.2775 validation ≈ 0.3981 (143%)
[ Info: [  8%] LOSS: training ≈ 0.2753 validation ≈ 0.3971 (144%)
[ Info: [  8%] LOSS: training ≈ 0.2732 validation ≈ 0.3961 (145%)
[ Info: [  9%] LOSS: training ≈ 0.2713 validation ≈ 0.3952 (146%)
[ Info: [ 10%] LOSS: training ≈ 0.2696 validation ≈ 0.3944 (146%)
[ Info: [ 10%] LOSS: training ≈ 0.268  validation ≈ 0.3936 (147%)
[ Info: [ 10%] LOSS: training ≈ 0.2665 validation ≈ 0.3929 (147%)
[ Info: [ 11%] LOSS: training ≈ 0.2651 validation ≈ 0.3922 (148%)
[ Info: [ 12%] LOSS: training ≈ 0.2637 validation ≈ 0.3915 (148%)
[ Info: [ 12%] LOSS: training ≈ 0.2625 validation ≈ 0.3909 (149%)
[ Info: [ 12%] LOSS: training ≈ 0.2613 validation ≈ 0.3903 (149%)
[ Info: [ 13%] LOSS: training ≈ 0.2602 validation ≈ 0.3897 (150%)
[ Info: [ 14%] LOSS: training ≈ 0.2591 validation ≈ 0.3891 (150%)
[ Info: [ 14%] LOSS: training ≈ 0.2581 validation ≈ 0.3885 (151%)
[ Info: [ 14%] LOSS: training ≈ 0.2571 validation ≈ 0.388  (151%)
[ Info: [ 15%] LOSS: training ≈ 0.2562 validation ≈ 0.3875 (151%)
[ Info: [ 16%] LOSS: training ≈ 0.2553 validation ≈ 0.387  (152%)
[ Info: [ 16%] LOSS: training ≈ 0.2544 validation ≈ 0.3865 (152%)
[ Info: [ 16%] LOSS: training ≈ 0.2536 validation ≈ 0.386  (152%)
[ Info: [ 17%] LOSS: training ≈ 0.2528 validation ≈ 0.3856 (153%)
[ Info: [ 18%] LOSS: training ≈ 0.252  validation ≈ 0.3852 (153%)
[ Info: [ 18%] LOSS: training ≈ 0.2513 validation ≈ 0.3847 (153%)
[ Info: [ 18%] LOSS: training ≈ 0.2506 validation ≈ 0.3843 (153%)
[ Info: [ 19%] LOSS: training ≈ 0.2499 validation ≈ 0.3839 (154%)
[ Info: [ 20%] LOSS: training ≈ 0.2493 validation ≈ 0.3835 (154%)
[ Info: [ 20%] LOSS: training ≈ 0.2487 validation ≈ 0.3831 (154%)
[ Info: [ 20%] LOSS: training ≈ 0.248  validation ≈ 0.3828 (154%)
[ Info: [ 21%] LOSS: training ≈ 0.2475 validation ≈ 0.3824 (155%)
[ Info: [ 22%] LOSS: training ≈ 0.2469 validation ≈ 0.3821 (155%)
[ Info: [ 22%] LOSS: training ≈ 0.2463 validation ≈ 0.3817 (155%)
[ Info: [ 22%] LOSS: training ≈ 0.2458 validation ≈ 0.3814 (155%)
[ Info: [ 23%] LOSS: training ≈ 0.2453 validation ≈ 0.3811 (155%)
[ Info: [ 24%] LOSS: training ≈ 0.2448 validation ≈ 0.3808 (156%)
[ Info: [ 24%] LOSS: training ≈ 0.2443 validation ≈ 0.3805 (156%)
[ Info: [ 24%] LOSS: training ≈ 0.2438 validation ≈ 0.3802 (156%)
[ Info: [ 25%] LOSS: training ≈ 0.2434 validation ≈ 0.3799 (156%)
[ Info: [ 26%] LOSS: training ≈ 0.2429 validation ≈ 0.3796 (156%)
[ Info: [ 26%] LOSS: training ≈ 0.2425 validation ≈ 0.3793 (156%)
[ Info: [ 26%] LOSS: training ≈ 0.2421 validation ≈ 0.3791 (157%)
[ Info: [ 27%] LOSS: training ≈ 0.2416 validation ≈ 0.3788 (157%)
[ Info: [ 28%] LOSS: training ≈ 0.2413 validation ≈ 0.3786 (157%)
[ Info: [ 28%] LOSS: training ≈ 0.2409 validation ≈ 0.3784 (157%)
[ Info: [ 28%] LOSS: training ≈ 0.2405 validation ≈ 0.3781 (157%)
[ Info: [ 29%] LOSS: training ≈ 0.2401 validation ≈ 0.3779 (157%)
[ Info: [ 30%] LOSS: training ≈ 0.2398 validation ≈ 0.3777 (158%)
[ Info: [ 30%] LOSS: training ≈ 0.2394 validation ≈ 0.3775 (158%)
[ Info: [ 30%] LOSS: training ≈ 0.2391 validation ≈ 0.3773 (158%)
[ Info: [ 31%] LOSS: training ≈ 0.2388 validation ≈ 0.3771 (158%)
[ Info: [ 32%] LOSS: training ≈ 0.2384 validation ≈ 0.3769 (158%)
[ Info: [ 32%] LOSS: training ≈ 0.2381 validation ≈ 0.3767 (158%)
[ Info: [ 32%] LOSS: training ≈ 0.2378 validation ≈ 0.3765 (158%)
[ Info: [ 33%] LOSS: training ≈ 0.2375 validation ≈ 0.3764 (158%)
[ Info: [ 34%] LOSS: training ≈ 0.2372 validation ≈ 0.3762 (159%)
[ Info: [ 34%] LOSS: training ≈ 0.237  validation ≈ 0.376  (159%)
[ Info: [ 34%] LOSS: training ≈ 0.2367 validation ≈ 0.3759 (159%)
[ Info: [ 35%] LOSS: training ≈ 0.2364 validation ≈ 0.3757 (159%)
[ Info: [ 36%] LOSS: training ≈ 0.2362 validation ≈ 0.3756 (159%)
[ Info: [ 36%] LOSS: training ≈ 0.2359 validation ≈ 0.3754 (159%)
[ Info: [ 36%] LOSS: training ≈ 0.2357 validation ≈ 0.3753 (159%)
[ Info: [ 37%] LOSS: training ≈ 0.2354 validation ≈ 0.3752 (159%)
[ Info: [ 38%] LOSS: training ≈ 0.2352 validation ≈ 0.375  (159%)
[ Info: [ 38%] LOSS: training ≈ 0.235  validation ≈ 0.3749 (160%)
[ Info: [ 38%] LOSS: training ≈ 0.2347 validation ≈ 0.3748 (160%)
[ Info: [ 39%] LOSS: training ≈ 0.2345 validation ≈ 0.3747 (160%)
[ Info: [ 40%] LOSS: training ≈ 0.2343 validation ≈ 0.3746 (160%)
[ Info: [ 40%] LOSS: training ≈ 0.2341 validation ≈ 0.3745 (160%)
[ Info: [ 40%] LOSS: training ≈ 0.2339 validation ≈ 0.3744 (160%)
[ Info: [ 41%] LOSS: training ≈ 0.2337 validation ≈ 0.3743 (160%)
[ Info: [ 42%] LOSS: training ≈ 0.2335 validation ≈ 0.3742 (160%)
[ Info: [ 42%] LOSS: training ≈ 0.2333 validation ≈ 0.3741 (160%)
[ Info: [ 42%] LOSS: training ≈ 0.2331 validation ≈ 0.374  (160%)
[ Info: [ 43%] LOSS: training ≈ 0.2329 validation ≈ 0.3739 (161%)
[ Info: [ 44%] LOSS: training ≈ 0.2327 validation ≈ 0.3738 (161%)
[ Info: [ 44%] LOSS: training ≈ 0.2326 validation ≈ 0.3737 (161%)
[ Info: [ 44%] LOSS: training ≈ 0.2324 validation ≈ 0.3737 (161%)
[ Info: [ 45%] LOSS: training ≈ 0.2322 validation ≈ 0.3736 (161%)
[ Info: [ 46%] LOSS: training ≈ 0.2321 validation ≈ 0.3735 (161%)
[ Info: [ 46%] LOSS: training ≈ 0.2319 validation ≈ 0.3735 (161%)
[ Info: [ 46%] LOSS: training ≈ 0.2317 validation ≈ 0.3734 (161%)
[ Info: [ 47%] LOSS: training ≈ 0.2316 validation ≈ 0.3733 (161%)
[ Info: [ 48%] LOSS: training ≈ 0.2314 validation ≈ 0.3733 (161%)
[ Info: [ 48%] LOSS: training ≈ 0.2313 validation ≈ 0.3732 (161%)
[ Info: [ 48%] LOSS: training ≈ 0.2311 validation ≈ 0.3732 (161%)
[ Info: [ 49%] LOSS: training ≈ 0.231  validation ≈ 0.3731 (162%)
[ Info: [ 50%] LOSS: training ≈ 0.2309 validation ≈ 0.3731 (162%)
[ Info: [ 50%] LOSS: training ≈ 0.2307 validation ≈ 0.373  (162%)
[ Info: [ 50%] LOSS: training ≈ 0.2306 validation ≈ 0.373  (162%)
[ Info: [ 51%] LOSS: training ≈ 0.2305 validation ≈ 0.3729 (162%)
[ Info: [ 52%] LOSS: training ≈ 0.2303 validation ≈ 0.3729 (162%)
[ Info: [ 52%] LOSS: training ≈ 0.2302 validation ≈ 0.3728 (162%)
[ Info: [ 52%] LOSS: training ≈ 0.2301 validation ≈ 0.3728 (162%)
[ Info: [ 53%] LOSS: training ≈ 0.23   validation ≈ 0.3728 (162%)
[ Info: [ 54%] LOSS: training ≈ 0.2299 validation ≈ 0.3727 (162%)
[ Info: [ 54%] LOSS: training ≈ 0.2297 validation ≈ 0.3727 (162%)
[ Info: [ 55%] LOSS: training ≈ 0.2296 validation ≈ 0.3727 (162%)
[ Info: [ 55%] LOSS: training ≈ 0.2295 validation ≈ 0.3727 (162%)
[ Info: [ 56%] LOSS: training ≈ 0.2294 validation ≈ 0.3726 (162%)
[ Info: [ 56%] LOSS: training ≈ 0.2293 validation ≈ 0.3726 (162%)
[ Info: [ 56%] LOSS: training ≈ 0.2292 validation ≈ 0.3726 (163%)
[ Info: [ 57%] LOSS: training ≈ 0.2291 validation ≈ 0.3726 (163%)
[ Info: [ 57%] LOSS: training ≈ 0.229  validation ≈ 0.3725 (163%)
[ Info: [ 58%] LOSS: training ≈ 0.2289 validation ≈ 0.3725 (163%)
[ Info: [ 58%] LOSS: training ≈ 0.2288 validation ≈ 0.3725 (163%)
[ Info: [ 59%] LOSS: training ≈ 0.2287 validation ≈ 0.3725 (163%)
[ Info: [ 60%] LOSS: training ≈ 0.2286 validation ≈ 0.3725 (163%)
[ Info: [ 60%] LOSS: training ≈ 0.2285 validation ≈ 0.3725 (163%)
[ Info: [ 60%] LOSS: training ≈ 0.2284 validation ≈ 0.3725 (163%)
[ Info: [ 61%] LOSS: training ≈ 0.2283 validation ≈ 0.3724 (163%)
[ Info: [ 62%] LOSS: training ≈ 0.2282 validation ≈ 0.3724 (163%)
[ Info: [ 62%] LOSS: training ≈ 0.2282 validation ≈ 0.3724 (163%)
[ Info: [ 62%] LOSS: training ≈ 0.2281 validation ≈ 0.3724 (163%)
[ Info: [ 63%] LOSS: training ≈ 0.228  validation ≈ 0.3724 (163%)
[ Info: [ 64%] LOSS: training ≈ 0.2279 validation ≈ 0.3724 (163%)
[ Info: [ 64%] LOSS: training ≈ 0.2278 validation ≈ 0.3724 (163%)
[ Info: [ 64%] LOSS: training ≈ 0.2278 validation ≈ 0.3724 (164%)
[ Info: [ 65%] LOSS: training ≈ 0.2277 validation ≈ 0.3724 (164%)
[ Info: [ 66%] LOSS: training ≈ 0.2276 validation ≈ 0.3724 (164%)
[ Info: [ 66%] LOSS: training ≈ 0.2275 validation ≈ 0.3724 (164%)
[ Info: [ 66%] LOSS: training ≈ 0.2275 validation ≈ 0.3724 (164%)
[ Info: [ 67%] LOSS: training ≈ 0.2274 validation ≈ 0.3724 (164%)
[ Info: [ 68%] LOSS: training ≈ 0.2273 validation ≈ 0.3724 (164%)
[ Info: [ 68%] LOSS: training ≈ 0.2272 validation ≈ 0.3724 (164%)
[ Info: [ 68%] LOSS: training ≈ 0.2272 validation ≈ 0.3724 (164%)
[ Info: [ 69%] LOSS: training ≈ 0.2271 validation ≈ 0.3724 (164%)
[ Info: [ 70%] LOSS: training ≈ 0.227  validation ≈ 0.3724 (164%)
[ Info: [ 70%] LOSS: training ≈ 0.227  validation ≈ 0.3724 (164%)
[ Info: [ 70%] LOSS: training ≈ 0.2269 validation ≈ 0.3724 (164%)
[ Info: [ 71%] LOSS: training ≈ 0.2269 validation ≈ 0.3724 (164%)
[ Info: [ 72%] LOSS: training ≈ 0.2268 validation ≈ 0.3724 (164%)
[ Info: [ 72%] LOSS: training ≈ 0.2267 validation ≈ 0.3725 (164%)
[ Info: [ 72%] LOSS: training ≈ 0.2267 validation ≈ 0.3725 (164%)
[ Info: [ 73%] LOSS: training ≈ 0.2266 validation ≈ 0.3725 (164%)
[ Info: [ 74%] LOSS: training ≈ 0.2266 validation ≈ 0.3725 (164%)
[ Info: [ 74%] LOSS: training ≈ 0.2265 validation ≈ 0.3725 (164%)
[ Info: [ 74%] LOSS: training ≈ 0.2264 validation ≈ 0.3725 (165%)
[ Info: [ 75%] LOSS: training ≈ 0.2264 validation ≈ 0.3725 (165%)
[ Info: [ 76%] LOSS: training ≈ 0.2263 validation ≈ 0.3725 (165%)
[ Info: [ 76%] LOSS: training ≈ 0.2263 validation ≈ 0.3725 (165%)
[ Info: [ 76%] LOSS: training ≈ 0.2262 validation ≈ 0.3726 (165%)
[ Info: [ 77%] LOSS: training ≈ 0.2262 validation ≈ 0.3726 (165%)
[ Info: [ 78%] LOSS: training ≈ 0.2261 validation ≈ 0.3726 (165%)
[ Info: [ 78%] LOSS: training ≈ 0.2261 validation ≈ 0.3726 (165%)
[ Info: [ 78%] LOSS: training ≈ 0.226  validation ≈ 0.3726 (165%)
[ Info: [ 79%] LOSS: training ≈ 0.226  validation ≈ 0.3726 (165%)
[ Info: [ 80%] LOSS: training ≈ 0.2259 validation ≈ 0.3726 (165%)
[ Info: [ 80%] LOSS: training ≈ 0.2259 validation ≈ 0.3727 (165%)
[ Info: [ 80%] LOSS: training ≈ 0.2258 validation ≈ 0.3727 (165%)
[ Info: [ 81%] LOSS: training ≈ 0.2258 validation ≈ 0.3727 (165%)
[ Info: [ 82%] LOSS: training ≈ 0.2257 validation ≈ 0.3727 (165%)
[ Info: [ 82%] LOSS: training ≈ 0.2257 validation ≈ 0.3727 (165%)
[ Info: [ 82%] LOSS: training ≈ 0.2256 validation ≈ 0.3728 (165%)
[ Info: [ 83%] LOSS: training ≈ 0.2256 validation ≈ 0.3728 (165%)
[ Info: [ 84%] LOSS: training ≈ 0.2256 validation ≈ 0.3728 (165%)
[ Info: [ 84%] LOSS: training ≈ 0.2255 validation ≈ 0.3728 (165%)
[ Info: [ 84%] LOSS: training ≈ 0.2255 validation ≈ 0.3728 (165%)
[ Info: [ 85%] LOSS: training ≈ 0.2254 validation ≈ 0.3728 (165%)
[ Info: [ 86%] LOSS: training ≈ 0.2254 validation ≈ 0.3729 (165%)
[ Info: [ 86%] LOSS: training ≈ 0.2254 validation ≈ 0.3729 (165%)
[ Info: [ 86%] LOSS: training ≈ 0.2253 validation ≈ 0.3729 (166%)
[ Info: [ 87%] LOSS: training ≈ 0.2253 validation ≈ 0.3729 (166%)
[ Info: [ 88%] LOSS: training ≈ 0.2252 validation ≈ 0.3729 (166%)
[ Info: [ 88%] LOSS: training ≈ 0.2252 validation ≈ 0.373  (166%)
[ Info: [ 88%] LOSS: training ≈ 0.2252 validation ≈ 0.373  (166%)
[ Info: [ 89%] LOSS: training ≈ 0.2251 validation ≈ 0.373  (166%)
[ Info: [ 90%] LOSS: training ≈ 0.2251 validation ≈ 0.373  (166%)
[ Info: [ 90%] LOSS: training ≈ 0.2251 validation ≈ 0.3731 (166%)
[ Info: [ 90%] LOSS: training ≈ 0.225  validation ≈ 0.3731 (166%)
[ Info: [ 91%] LOSS: training ≈ 0.225  validation ≈ 0.3731 (166%)
[ Info: [ 92%] LOSS: training ≈ 0.225  validation ≈ 0.3731 (166%)
[ Info: [ 92%] LOSS: training ≈ 0.2249 validation ≈ 0.3731 (166%)
[ Info: [ 92%] LOSS: training ≈ 0.2249 validation ≈ 0.3732 (166%)
[ Info: [ 93%] LOSS: training ≈ 0.2249 validation ≈ 0.3732 (166%)
[ Info: [ 94%] LOSS: training ≈ 0.2248 validation ≈ 0.3732 (166%)
[ Info: [ 94%] LOSS: training ≈ 0.2248 validation ≈ 0.3732 (166%)
[ Info: [ 94%] LOSS: training ≈ 0.2248 validation ≈ 0.3733 (166%)
[ Info: [ 95%] LOSS: training ≈ 0.2247 validation ≈ 0.3733 (166%)
[ Info: [ 96%] LOSS: training ≈ 0.2247 validation ≈ 0.3733 (166%)
[ Info: [ 96%] LOSS: training ≈ 0.2247 validation ≈ 0.3733 (166%)
[ Info: [ 96%] LOSS: training ≈ 0.2246 validation ≈ 0.3734 (166%)
[ Info: [ 97%] LOSS: training ≈ 0.2246 validation ≈ 0.3734 (166%)
[ Info: [ 98%] LOSS: training ≈ 0.2246 validation ≈ 0.3734 (166%)
[ Info: [ 98%] LOSS: training ≈ 0.2245 validation ≈ 0.3734 (166%)
[ Info: [ 98%] LOSS: training ≈ 0.2245 validation ≈ 0.3735 (166%)
[ Info: [ 99%] LOSS: training ≈ 0.2245 validation ≈ 0.3735 (166%)
[ Info: [100%] LOSS: training ≈ 0.2245 validation ≈ 0.3735 (166%)
[ Info: [100%] LOSS: training ≈ 0.2244 validation ≈ 0.3735 (166%)
[ Info: [  0%] LOSS: training ≈ 0.4215
[ Info: [  1%] LOSS: training ≈ 0.3806
[ Info: [  2%] LOSS: training ≈ 0.3564
[ Info: [  2%] LOSS: training ≈ 0.3399
[ Info: [  2%] LOSS: training ≈ 0.3279
[ Info: [  3%] LOSS: training ≈ 0.3185
[ Info: [  4%] LOSS: training ≈ 0.311 
[ Info: [  4%] LOSS: training ≈ 0.3048
[ Info: [  4%] LOSS: training ≈ 0.2996
[ Info: [  5%] LOSS: training ≈ 0.2952
[ Info: [  6%] LOSS: training ≈ 0.2914
[ Info: [  6%] LOSS: training ≈ 0.2881
[ Info: [  6%] LOSS: training ≈ 0.2852
[ Info: [  7%] LOSS: training ≈ 0.2826
[ Info: [  8%] LOSS: training ≈ 0.2802
[ Info: [  8%] LOSS: training ≈ 0.2782
[ Info: [  8%] LOSS: training ≈ 0.2763
[ Info: [  9%] LOSS: training ≈ 0.2746
[ Info: [ 10%] LOSS: training ≈ 0.2731
[ Info: [ 10%] LOSS: training ≈ 0.2717
[ Info: [ 10%] LOSS: training ≈ 0.2704
[ Info: [ 11%] LOSS: training ≈ 0.2692
[ Info: [ 12%] LOSS: training ≈ 0.2681
[ Info: [ 12%] LOSS: training ≈ 0.2671
[ Info: [ 12%] LOSS: training ≈ 0.2662
[ Info: [ 13%] LOSS: training ≈ 0.2654
[ Info: [ 14%] LOSS: training ≈ 0.2646
[ Info: [ 14%] LOSS: training ≈ 0.2639
[ Info: [ 14%] LOSS: training ≈ 0.2632
[ Info: [ 15%] LOSS: training ≈ 0.2626
[ Info: [ 16%] LOSS: training ≈ 0.262 
[ Info: [ 16%] LOSS: training ≈ 0.2614
[ Info: [ 16%] LOSS: training ≈ 0.2609
[ Info: [ 17%] LOSS: training ≈ 0.2605
[ Info: [ 18%] LOSS: training ≈ 0.26  
[ Info: [ 18%] LOSS: training ≈ 0.2596
[ Info: [ 18%] LOSS: training ≈ 0.2592
[ Info: [ 19%] LOSS: training ≈ 0.2589
[ Info: [ 20%] LOSS: training ≈ 0.2585
[ Info: [ 20%] LOSS: training ≈ 0.2582
[ Info: [ 20%] LOSS: training ≈ 0.2579
[ Info: [ 21%] LOSS: training ≈ 0.2576
[ Info: [ 22%] LOSS: training ≈ 0.2573
[ Info: [ 22%] LOSS: training ≈ 0.2571
[ Info: [ 22%] LOSS: training ≈ 0.2568
[ Info: [ 23%] LOSS: training ≈ 0.2566
[ Info: [ 24%] LOSS: training ≈ 0.2564
[ Info: [ 24%] LOSS: training ≈ 0.2562
[ Info: [ 24%] LOSS: training ≈ 0.256 
[ Info: [ 25%] LOSS: training ≈ 0.2558
[ Info: [ 26%] LOSS: training ≈ 0.2557
[ Info: [ 26%] LOSS: training ≈ 0.2555
[ Info: [ 26%] LOSS: training ≈ 0.2554
[ Info: [ 27%] LOSS: training ≈ 0.2552
[ Info: [ 28%] LOSS: training ≈ 0.2551
[ Info: [ 28%] LOSS: training ≈ 0.255 
[ Info: [ 28%] LOSS: training ≈ 0.2548
[ Info: [ 29%] LOSS: training ≈ 0.2547
[ Info: [ 30%] LOSS: training ≈ 0.2546
[ Info: [ 30%] LOSS: training ≈ 0.2545
[ Info: [ 30%] LOSS: training ≈ 0.2544
[ Info: [ 31%] LOSS: training ≈ 0.2543
[ Info: [ 32%] LOSS: training ≈ 0.2542
[ Info: [ 32%] LOSS: training ≈ 0.2541
[ Info: [ 32%] LOSS: training ≈ 0.2541
[ Info: [ 33%] LOSS: training ≈ 0.254 
[ Info: [ 34%] LOSS: training ≈ 0.2539
[ Info: [ 34%] LOSS: training ≈ 0.2538
[ Info: [ 34%] LOSS: training ≈ 0.2538
[ Info: [ 35%] LOSS: training ≈ 0.2537
[ Info: [ 36%] LOSS: training ≈ 0.2536
[ Info: [ 36%] LOSS: training ≈ 0.2536
[ Info: [ 36%] LOSS: training ≈ 0.2535
[ Info: [ 37%] LOSS: training ≈ 0.2535
[ Info: [ 38%] LOSS: training ≈ 0.2534
[ Info: [ 38%] LOSS: training ≈ 0.2534
[ Info: [ 38%] LOSS: training ≈ 0.2533
[ Info: [ 39%] LOSS: training ≈ 0.2533
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 41%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.253 
[ Info: [ 43%] LOSS: training ≈ 0.253 
[ Info: [ 44%] LOSS: training ≈ 0.253 
[ Info: [ 44%] LOSS: training ≈ 0.2529
[ Info: [ 44%] LOSS: training ≈ 0.2529
[ Info: [ 45%] LOSS: training ≈ 0.2529
[ Info: [ 46%] LOSS: training ≈ 0.2529
[ Info: [ 46%] LOSS: training ≈ 0.2528
[ Info: [ 46%] LOSS: training ≈ 0.2528
[ Info: [ 47%] LOSS: training ≈ 0.2528
[ Info: [ 48%] LOSS: training ≈ 0.2528
[ Info: [ 48%] LOSS: training ≈ 0.2527
[ Info: [ 48%] LOSS: training ≈ 0.2527
[ Info: [ 49%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 51%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 53%] LOSS: training ≈ 0.2526
[ Info: [ 54%] LOSS: training ≈ 0.2526
[ Info: [ 54%] LOSS: training ≈ 0.2525
[ Info: [ 55%] LOSS: training ≈ 0.2525
[ Info: [ 55%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 57%] LOSS: training ≈ 0.2525
[ Info: [ 57%] LOSS: training ≈ 0.2525
[ Info: [ 58%] LOSS: training ≈ 0.2525
[ Info: [ 58%] LOSS: training ≈ 0.2525
[ Info: [ 59%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 61%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 63%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 65%] LOSS: training ≈ 0.2524
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 67%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 69%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 71%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 73%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 75%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 77%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2522
[ Info: [ 79%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 81%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 83%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 85%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 87%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 89%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 91%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 93%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 95%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 97%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 99%] LOSS: training ≈ 0.2522
[ Info: [100%] LOSS: training ≈ 0.2522
[ Info: [100%] LOSS: training ≈ 0.2522
Test Summary: | Pass  Total      Time
Package       |  294    294  17m57.3s
     Testing SDeMo tests passed 

Testing completed after 1139.91s

PkgEval succeeded after 1328.07s