Package evaluation of SDeMo on Julia 1.13.0-DEV.771 (d887bd21ab*) started at 2025-06-22T17:02:32.670


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.86s


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

Installing SDeMo...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [3e5feb82] + SDeMo v1.4.1
    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 v0.25.120
  [ffbed154] + DocStringExtensions v0.9.5
  [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 v1.8.1
  [90014a1f] + PDMats v0.11.35
  [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 v1.4.1
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.1
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.5
  [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 v1.13.0
  [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 v8.14.1+1
  [e37daf67] + LibGit2_jll v1.9.0+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.5.20
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.5.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+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 4.05s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 36.55s


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

     Testing SDeMo
      Status `/tmp/jl_jMLQQv/Project.toml`
  [3e5feb82] SDeMo v1.4.1
  [10745b16] Statistics v1.11.1
  [f8b46487] TestItemRunner v1.1.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_jMLQQv/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 v0.25.120
  [ffbed154] DocStringExtensions v0.9.5
  [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 v1.8.1
  [90014a1f] PDMats v0.11.35
  [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 v1.4.1
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.1
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [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 v1.13.0
  [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 v8.14.1+1
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.13.1+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: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:90
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:90
[ Info: [ 2 vars.] MCC val. ≈ -0.0
[ Info: [ 3 vars.] MCC val. ≈ 0.458
[ Info: Optimal var. pool: [1, 12, 2]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:44
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:44
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:90
[ Info: [ 0 vars.] MCC val. ≈ -0.0
[ Info: [ 1 vars.] MCC val. ≈ 0.759
[ Info: [ 2 vars.] MCC val. ≈ 0.765
[ Info: Optimal var. pool: [5, 1]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:44
[ Info: [19 vars.] MCC val. ≈ -0.0
[ Info: [18 vars.] MCC val. ≈ 0.563
[ Info: [17 vars.] MCC val. ≈ 0.809
[ Info: [16 vars.] MCC val. ≈ 0.817
[ Info: [15 vars.] MCC val. ≈ 0.824
[ Info: Optimal var. pool: [2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 17, 18]
┌ Warning: backwardselection! will be deprecated - use variables! with BackwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:44
[ Info: [ 9 vars.] MCC val. ≈ -0.0
[ Info: [ 8 vars.] MCC val. ≈ 0.807
[ Info: Optimal var. pool: [1, 2, 3, 5, 6, 7, 8, 9]
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:90
[ Info: [ 2 vars.] MCC val. ≈ -0.0
[ Info: [ 3 vars.] MCC val. ≈ 0.391
[ Info: Optimal var. pool: [12, 13, 1]
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/vif.jl:24
┌ Warning: forwardselection! will be deprecated - use variables! with ForwardSelection instead
└ @ SDeMo ~/.julia/packages/SDeMo/NVAGC/src/variables/selection.jl:90
[ Info: [ 0 vars.] MCC val. ≈ -0.0
[ Info: [ 1 vars.] MCC val. ≈ 0.727
[ Info: [ 2 vars.] MCC val. ≈ 0.74
[ Info: [ 3 vars.] MCC val. ≈ 0.762
[ Info: Optimal var. pool: [5, 8, 15]
[ Info: Baseline mcc: -2.8367742685852565e-17
[ Info: Optimal 1 variables model - mcc ≈ 0.745
[ Info: Optimal 2 variables model - mcc ≈ 0.7548
[ Info: Optimal 3 variables model - mcc ≈ 0.7671
[ Info: Optimal 4 variables model - mcc ≈ 0.7831
[ Info: Optimal 5 variables model - mcc ≈ 0.7899
[ Info: Returning model with 5 variables - mcc ≈ 0.7899
[ Info: [  0%] LOSS: training ≈ 0.4871 validation ≈ 0.5173 (106%)
[ Info: [  1%] LOSS: training ≈ 0.4085 validation ≈ 0.4673 (114%)
[ Info: [  2%] LOSS: training ≈ 0.37   validation ≈ 0.4442 (120%)
[ Info: [  2%] LOSS: training ≈ 0.3472 validation ≈ 0.4312 (124%)
[ Info: [  2%] LOSS: training ≈ 0.3321 validation ≈ 0.4229 (127%)
[ Info: [  3%] LOSS: training ≈ 0.3213 validation ≈ 0.417  (130%)
[ Info: [  4%] LOSS: training ≈ 0.3131 validation ≈ 0.4125 (132%)
[ Info: [  4%] LOSS: training ≈ 0.3066 validation ≈ 0.409  (133%)
[ Info: [  4%] LOSS: training ≈ 0.3014 validation ≈ 0.406  (135%)
[ Info: [  5%] LOSS: training ≈ 0.297  validation ≈ 0.4035 (136%)
[ Info: [  6%] LOSS: training ≈ 0.2933 validation ≈ 0.4013 (137%)
[ Info: [  6%] LOSS: training ≈ 0.2901 validation ≈ 0.3993 (138%)
[ Info: [  6%] LOSS: training ≈ 0.2873 validation ≈ 0.3974 (138%)
[ Info: [  7%] LOSS: training ≈ 0.2848 validation ≈ 0.3958 (139%)
[ Info: [  8%] LOSS: training ≈ 0.2825 validation ≈ 0.3942 (140%)
[ Info: [  8%] LOSS: training ≈ 0.2805 validation ≈ 0.3927 (140%)
[ Info: [  8%] LOSS: training ≈ 0.2787 validation ≈ 0.3913 (140%)
[ Info: [  9%] LOSS: training ≈ 0.277  validation ≈ 0.39   (141%)
[ Info: [ 10%] LOSS: training ≈ 0.2754 validation ≈ 0.3888 (141%)
[ Info: [ 10%] LOSS: training ≈ 0.274  validation ≈ 0.3876 (141%)
[ Info: [ 10%] LOSS: training ≈ 0.2726 validation ≈ 0.3864 (142%)
[ Info: [ 11%] LOSS: training ≈ 0.2714 validation ≈ 0.3853 (142%)
[ Info: [ 12%] LOSS: training ≈ 0.2702 validation ≈ 0.3843 (142%)
[ Info: [ 12%] LOSS: training ≈ 0.2691 validation ≈ 0.3833 (142%)
[ Info: [ 12%] LOSS: training ≈ 0.2681 validation ≈ 0.3823 (143%)
[ Info: [ 13%] LOSS: training ≈ 0.2671 validation ≈ 0.3813 (143%)
[ Info: [ 14%] LOSS: training ≈ 0.2662 validation ≈ 0.3804 (143%)
[ Info: [ 14%] LOSS: training ≈ 0.2653 validation ≈ 0.3795 (143%)
[ Info: [ 14%] LOSS: training ≈ 0.2645 validation ≈ 0.3786 (143%)
[ Info: [ 15%] LOSS: training ≈ 0.2637 validation ≈ 0.3778 (143%)
[ Info: [ 16%] LOSS: training ≈ 0.2629 validation ≈ 0.3769 (143%)
[ Info: [ 16%] LOSS: training ≈ 0.2622 validation ≈ 0.3761 (143%)
[ Info: [ 16%] LOSS: training ≈ 0.2615 validation ≈ 0.3753 (144%)
[ Info: [ 17%] LOSS: training ≈ 0.2608 validation ≈ 0.3746 (144%)
[ Info: [ 18%] LOSS: training ≈ 0.2602 validation ≈ 0.3738 (144%)
[ Info: [ 18%] LOSS: training ≈ 0.2596 validation ≈ 0.3731 (144%)
[ Info: [ 18%] LOSS: training ≈ 0.259  validation ≈ 0.3724 (144%)
[ Info: [ 19%] LOSS: training ≈ 0.2584 validation ≈ 0.3717 (144%)
[ Info: [ 20%] LOSS: training ≈ 0.2579 validation ≈ 0.371  (144%)
[ Info: [ 20%] LOSS: training ≈ 0.2574 validation ≈ 0.3703 (144%)
[ Info: [ 20%] LOSS: training ≈ 0.2569 validation ≈ 0.3697 (144%)
[ Info: [ 21%] LOSS: training ≈ 0.2564 validation ≈ 0.369  (144%)
[ Info: [ 22%] LOSS: training ≈ 0.2559 validation ≈ 0.3684 (144%)
[ Info: [ 22%] LOSS: training ≈ 0.2555 validation ≈ 0.3678 (144%)
[ Info: [ 22%] LOSS: training ≈ 0.255  validation ≈ 0.3672 (144%)
[ Info: [ 23%] LOSS: training ≈ 0.2546 validation ≈ 0.3666 (144%)
[ Info: [ 24%] LOSS: training ≈ 0.2542 validation ≈ 0.366  (144%)
[ Info: [ 24%] LOSS: training ≈ 0.2538 validation ≈ 0.3655 (144%)
[ Info: [ 24%] LOSS: training ≈ 0.2534 validation ≈ 0.3649 (144%)
[ Info: [ 25%] LOSS: training ≈ 0.253  validation ≈ 0.3644 (144%)
[ Info: [ 26%] LOSS: training ≈ 0.2527 validation ≈ 0.3638 (144%)
[ Info: [ 26%] LOSS: training ≈ 0.2523 validation ≈ 0.3633 (144%)
[ Info: [ 26%] LOSS: training ≈ 0.252  validation ≈ 0.3628 (144%)
[ Info: [ 27%] LOSS: training ≈ 0.2516 validation ≈ 0.3623 (144%)
[ Info: [ 28%] LOSS: training ≈ 0.2513 validation ≈ 0.3618 (144%)
[ Info: [ 28%] LOSS: training ≈ 0.251  validation ≈ 0.3613 (144%)
[ Info: [ 28%] LOSS: training ≈ 0.2507 validation ≈ 0.3609 (144%)
[ Info: [ 29%] LOSS: training ≈ 0.2504 validation ≈ 0.3604 (144%)
[ Info: [ 30%] LOSS: training ≈ 0.2501 validation ≈ 0.36   (144%)
[ Info: [ 30%] LOSS: training ≈ 0.2499 validation ≈ 0.3595 (144%)
[ Info: [ 30%] LOSS: training ≈ 0.2496 validation ≈ 0.3591 (144%)
[ Info: [ 31%] LOSS: training ≈ 0.2493 validation ≈ 0.3586 (144%)
[ Info: [ 32%] LOSS: training ≈ 0.2491 validation ≈ 0.3582 (144%)
[ Info: [ 32%] LOSS: training ≈ 0.2488 validation ≈ 0.3578 (144%)
[ Info: [ 32%] LOSS: training ≈ 0.2486 validation ≈ 0.3574 (144%)
[ Info: [ 33%] LOSS: training ≈ 0.2483 validation ≈ 0.357  (144%)
[ Info: [ 34%] LOSS: training ≈ 0.2481 validation ≈ 0.3566 (144%)
[ Info: [ 34%] LOSS: training ≈ 0.2479 validation ≈ 0.3562 (144%)
[ Info: [ 34%] LOSS: training ≈ 0.2477 validation ≈ 0.3559 (144%)
[ Info: [ 35%] LOSS: training ≈ 0.2475 validation ≈ 0.3555 (144%)
[ Info: [ 36%] LOSS: training ≈ 0.2473 validation ≈ 0.3551 (144%)
[ Info: [ 36%] LOSS: training ≈ 0.2471 validation ≈ 0.3548 (144%)
[ Info: [ 36%] LOSS: training ≈ 0.2469 validation ≈ 0.3544 (144%)
[ Info: [ 37%] LOSS: training ≈ 0.2467 validation ≈ 0.3541 (144%)
[ Info: [ 38%] LOSS: training ≈ 0.2465 validation ≈ 0.3537 (144%)
[ Info: [ 38%] LOSS: training ≈ 0.2463 validation ≈ 0.3534 (143%)
[ Info: [ 38%] LOSS: training ≈ 0.2461 validation ≈ 0.3531 (143%)
[ Info: [ 39%] LOSS: training ≈ 0.246  validation ≈ 0.3528 (143%)
[ Info: [ 40%] LOSS: training ≈ 0.2458 validation ≈ 0.3524 (143%)
[ Info: [ 40%] LOSS: training ≈ 0.2456 validation ≈ 0.3521 (143%)
[ Info: [ 40%] LOSS: training ≈ 0.2455 validation ≈ 0.3518 (143%)
[ Info: [ 41%] LOSS: training ≈ 0.2453 validation ≈ 0.3515 (143%)
[ Info: [ 42%] LOSS: training ≈ 0.2452 validation ≈ 0.3512 (143%)
[ Info: [ 42%] LOSS: training ≈ 0.245  validation ≈ 0.351  (143%)
[ Info: [ 42%] LOSS: training ≈ 0.2449 validation ≈ 0.3507 (143%)
[ Info: [ 43%] LOSS: training ≈ 0.2447 validation ≈ 0.3504 (143%)
[ Info: [ 44%] LOSS: training ≈ 0.2446 validation ≈ 0.3501 (143%)
[ Info: [ 44%] LOSS: training ≈ 0.2444 validation ≈ 0.3498 (143%)
[ Info: [ 44%] LOSS: training ≈ 0.2443 validation ≈ 0.3496 (143%)
[ Info: [ 45%] LOSS: training ≈ 0.2442 validation ≈ 0.3493 (143%)
[ Info: [ 46%] LOSS: training ≈ 0.2441 validation ≈ 0.3491 (143%)
[ Info: [ 46%] LOSS: training ≈ 0.2439 validation ≈ 0.3488 (143%)
[ Info: [ 46%] LOSS: training ≈ 0.2438 validation ≈ 0.3486 (143%)
[ Info: [ 47%] LOSS: training ≈ 0.2437 validation ≈ 0.3483 (143%)
[ Info: [ 48%] LOSS: training ≈ 0.2436 validation ≈ 0.3481 (143%)
[ Info: [ 48%] LOSS: training ≈ 0.2435 validation ≈ 0.3478 (143%)
[ Info: [ 48%] LOSS: training ≈ 0.2433 validation ≈ 0.3476 (143%)
[ Info: [ 49%] LOSS: training ≈ 0.2432 validation ≈ 0.3474 (143%)
[ Info: [ 50%] LOSS: training ≈ 0.2431 validation ≈ 0.3472 (143%)
[ Info: [ 50%] LOSS: training ≈ 0.243  validation ≈ 0.3469 (143%)
[ Info: [ 50%] LOSS: training ≈ 0.2429 validation ≈ 0.3467 (143%)
[ Info: [ 51%] LOSS: training ≈ 0.2428 validation ≈ 0.3465 (143%)
[ Info: [ 52%] LOSS: training ≈ 0.2427 validation ≈ 0.3463 (143%)
[ Info: [ 52%] LOSS: training ≈ 0.2426 validation ≈ 0.3461 (143%)
[ Info: [ 52%] LOSS: training ≈ 0.2425 validation ≈ 0.3459 (143%)
[ Info: [ 53%] LOSS: training ≈ 0.2425 validation ≈ 0.3457 (143%)
[ Info: [ 54%] LOSS: training ≈ 0.2424 validation ≈ 0.3455 (143%)
[ Info: [ 54%] LOSS: training ≈ 0.2423 validation ≈ 0.3453 (143%)
[ Info: [ 55%] LOSS: training ≈ 0.2422 validation ≈ 0.3451 (142%)
[ Info: [ 55%] LOSS: training ≈ 0.2421 validation ≈ 0.3449 (142%)
[ Info: [ 56%] LOSS: training ≈ 0.242  validation ≈ 0.3447 (142%)
[ Info: [ 56%] LOSS: training ≈ 0.2419 validation ≈ 0.3446 (142%)
[ Info: [ 56%] LOSS: training ≈ 0.2419 validation ≈ 0.3444 (142%)
[ Info: [ 57%] LOSS: training ≈ 0.2418 validation ≈ 0.3442 (142%)
[ Info: [ 57%] LOSS: training ≈ 0.2417 validation ≈ 0.344  (142%)
[ Info: [ 58%] LOSS: training ≈ 0.2416 validation ≈ 0.3438 (142%)
[ Info: [ 58%] LOSS: training ≈ 0.2416 validation ≈ 0.3437 (142%)
[ Info: [ 59%] LOSS: training ≈ 0.2415 validation ≈ 0.3435 (142%)
[ Info: [ 60%] LOSS: training ≈ 0.2414 validation ≈ 0.3433 (142%)
[ Info: [ 60%] LOSS: training ≈ 0.2414 validation ≈ 0.3432 (142%)
[ Info: [ 60%] LOSS: training ≈ 0.2413 validation ≈ 0.343  (142%)
[ Info: [ 61%] LOSS: training ≈ 0.2412 validation ≈ 0.3429 (142%)
[ Info: [ 62%] LOSS: training ≈ 0.2412 validation ≈ 0.3427 (142%)
[ Info: [ 62%] LOSS: training ≈ 0.2411 validation ≈ 0.3426 (142%)
[ Info: [ 62%] LOSS: training ≈ 0.241  validation ≈ 0.3424 (142%)
[ Info: [ 63%] LOSS: training ≈ 0.241  validation ≈ 0.3423 (142%)
[ Info: [ 64%] LOSS: training ≈ 0.2409 validation ≈ 0.3421 (142%)
[ Info: [ 64%] LOSS: training ≈ 0.2409 validation ≈ 0.342  (142%)
[ Info: [ 64%] LOSS: training ≈ 0.2408 validation ≈ 0.3418 (142%)
[ Info: [ 65%] LOSS: training ≈ 0.2407 validation ≈ 0.3417 (142%)
[ Info: [ 66%] LOSS: training ≈ 0.2407 validation ≈ 0.3416 (142%)
[ Info: [ 66%] LOSS: training ≈ 0.2406 validation ≈ 0.3414 (142%)
[ Info: [ 66%] LOSS: training ≈ 0.2406 validation ≈ 0.3413 (142%)
[ Info: [ 67%] LOSS: training ≈ 0.2405 validation ≈ 0.3411 (142%)
[ Info: [ 68%] LOSS: training ≈ 0.2405 validation ≈ 0.341  (142%)
[ Info: [ 68%] LOSS: training ≈ 0.2404 validation ≈ 0.3409 (142%)
[ Info: [ 68%] LOSS: training ≈ 0.2404 validation ≈ 0.3408 (142%)
[ Info: [ 69%] LOSS: training ≈ 0.2403 validation ≈ 0.3406 (142%)
[ Info: [ 70%] LOSS: training ≈ 0.2403 validation ≈ 0.3405 (142%)
[ Info: [ 70%] LOSS: training ≈ 0.2402 validation ≈ 0.3404 (142%)
[ Info: [ 70%] LOSS: training ≈ 0.2402 validation ≈ 0.3403 (142%)
[ Info: [ 71%] LOSS: training ≈ 0.2401 validation ≈ 0.3402 (142%)
[ Info: [ 72%] LOSS: training ≈ 0.2401 validation ≈ 0.34   (142%)
[ Info: [ 72%] LOSS: training ≈ 0.2401 validation ≈ 0.3399 (142%)
[ Info: [ 72%] LOSS: training ≈ 0.24   validation ≈ 0.3398 (142%)
[ Info: [ 73%] LOSS: training ≈ 0.24   validation ≈ 0.3397 (142%)
[ Info: [ 74%] LOSS: training ≈ 0.2399 validation ≈ 0.3396 (142%)
[ Info: [ 74%] LOSS: training ≈ 0.2399 validation ≈ 0.3395 (142%)
[ Info: [ 74%] LOSS: training ≈ 0.2398 validation ≈ 0.3394 (141%)
[ Info: [ 75%] LOSS: training ≈ 0.2398 validation ≈ 0.3393 (141%)
[ Info: [ 76%] LOSS: training ≈ 0.2398 validation ≈ 0.3392 (141%)
[ Info: [ 76%] LOSS: training ≈ 0.2397 validation ≈ 0.3391 (141%)
[ Info: [ 76%] LOSS: training ≈ 0.2397 validation ≈ 0.339  (141%)
[ Info: [ 77%] LOSS: training ≈ 0.2397 validation ≈ 0.3389 (141%)
[ Info: [ 78%] LOSS: training ≈ 0.2396 validation ≈ 0.3388 (141%)
[ Info: [ 78%] LOSS: training ≈ 0.2396 validation ≈ 0.3387 (141%)
[ Info: [ 78%] LOSS: training ≈ 0.2396 validation ≈ 0.3386 (141%)
[ Info: [ 79%] LOSS: training ≈ 0.2395 validation ≈ 0.3385 (141%)
[ Info: [ 80%] LOSS: training ≈ 0.2395 validation ≈ 0.3384 (141%)
[ Info: [ 80%] LOSS: training ≈ 0.2395 validation ≈ 0.3383 (141%)
[ Info: [ 80%] LOSS: training ≈ 0.2394 validation ≈ 0.3382 (141%)
[ Info: [ 81%] LOSS: training ≈ 0.2394 validation ≈ 0.3381 (141%)
[ Info: [ 82%] LOSS: training ≈ 0.2394 validation ≈ 0.338  (141%)
[ Info: [ 82%] LOSS: training ≈ 0.2393 validation ≈ 0.3379 (141%)
[ Info: [ 82%] LOSS: training ≈ 0.2393 validation ≈ 0.3378 (141%)
[ Info: [ 83%] LOSS: training ≈ 0.2393 validation ≈ 0.3377 (141%)
[ Info: [ 84%] LOSS: training ≈ 0.2392 validation ≈ 0.3376 (141%)
[ Info: [ 84%] LOSS: training ≈ 0.2392 validation ≈ 0.3376 (141%)
[ Info: [ 84%] LOSS: training ≈ 0.2392 validation ≈ 0.3375 (141%)
[ Info: [ 85%] LOSS: training ≈ 0.2391 validation ≈ 0.3374 (141%)
[ Info: [ 86%] LOSS: training ≈ 0.2391 validation ≈ 0.3373 (141%)
[ Info: [ 86%] LOSS: training ≈ 0.2391 validation ≈ 0.3372 (141%)
[ Info: [ 86%] LOSS: training ≈ 0.2391 validation ≈ 0.3372 (141%)
[ Info: [ 87%] LOSS: training ≈ 0.239  validation ≈ 0.3371 (141%)
[ Info: [ 88%] LOSS: training ≈ 0.239  validation ≈ 0.337  (141%)
[ Info: [ 88%] LOSS: training ≈ 0.239  validation ≈ 0.3369 (141%)
[ Info: [ 88%] LOSS: training ≈ 0.239  validation ≈ 0.3368 (141%)
[ Info: [ 89%] LOSS: training ≈ 0.2389 validation ≈ 0.3368 (141%)
[ Info: [ 90%] LOSS: training ≈ 0.2389 validation ≈ 0.3367 (141%)
[ Info: [ 90%] LOSS: training ≈ 0.2389 validation ≈ 0.3366 (141%)
[ Info: [ 90%] LOSS: training ≈ 0.2389 validation ≈ 0.3365 (141%)
[ Info: [ 91%] LOSS: training ≈ 0.2388 validation ≈ 0.3365 (141%)
[ Info: [ 92%] LOSS: training ≈ 0.2388 validation ≈ 0.3364 (141%)
[ Info: [ 92%] LOSS: training ≈ 0.2388 validation ≈ 0.3363 (141%)
[ Info: [ 92%] LOSS: training ≈ 0.2388 validation ≈ 0.3363 (141%)
[ Info: [ 93%] LOSS: training ≈ 0.2388 validation ≈ 0.3362 (141%)
[ Info: [ 94%] LOSS: training ≈ 0.2387 validation ≈ 0.3361 (141%)
[ Info: [ 94%] LOSS: training ≈ 0.2387 validation ≈ 0.3361 (141%)
[ Info: [ 94%] LOSS: training ≈ 0.2387 validation ≈ 0.336  (141%)
[ Info: [ 95%] LOSS: training ≈ 0.2387 validation ≈ 0.3359 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2387 validation ≈ 0.3359 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2386 validation ≈ 0.3358 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2386 validation ≈ 0.3357 (141%)
[ Info: [ 97%] LOSS: training ≈ 0.2386 validation ≈ 0.3357 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2386 validation ≈ 0.3356 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2386 validation ≈ 0.3356 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2385 validation ≈ 0.3355 (141%)
[ Info: [ 99%] LOSS: training ≈ 0.2385 validation ≈ 0.3354 (141%)
[ Info: [100%] LOSS: training ≈ 0.2385 validation ≈ 0.3354 (141%)
[ Info: [100%] LOSS: training ≈ 0.2385 validation ≈ 0.3353 (141%)
[ 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       |  298    298  23m20.7s
     Testing SDeMo tests passed 

Testing completed after 1461.96s

PkgEval succeeded after 1527.46s