Package evaluation of SDeMo on Julia 1.13.0-DEV.427 (855bef3b06*) started at 2025-04-23T20:42:31.399


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.53s


################################################################################
# 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 v2.8.2
  [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 v1.4.0
  [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 4.18s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 24.97s


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

     Testing SDeMo
      Status `/tmp/jl_Wl7EgC/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_Wl7EgC/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 v2.8.2
  [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 v1.4.0
  [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. ≈ 0.431
[ Info: [ 4 vars.] MCC val. ≈ 0.438
[ Info: [ 5 vars.] MCC val. ≈ 0.439
[ Info: [ 6 vars.] MCC val. ≈ 0.441
[ Info: [ 7 vars.] MCC val. ≈ 0.448
[ Info: Optimal var. pool: [1, 12, 19, 4, 18, 16, 8]
┌ 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. ≈ 0.738
[ Info: [ 2 vars.] MCC val. ≈ 0.772
[ Info: [ 3 vars.] MCC val. ≈ 0.793
[ Info: [ 4 vars.] MCC val. ≈ 0.807
[ Info: Optimal var. pool: [5, 3, 14, 6]
┌ 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. ≈ 0.511
[ Info: [17 vars.] MCC val. ≈ 0.752
[ Info: [16 vars.] MCC val. ≈ 0.759
[ Info: Optimal var. pool: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 16, 17, 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. ≈ 0.796
[ Info: [ 7 vars.] MCC val. ≈ 0.808
[ Info: Optimal var. pool: [2, 3, 4, 6, 7, 8, 9]
┌ 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. ≈ 0.449
[ 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. ≈ 0.739
[ Info: [ 2 vars.] MCC val. ≈ 0.794
[ Info: Optimal var. pool: [8, 7]
┌ 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 ≈ 0.7324
[ Info: Optimal 2 variables model - mcc ≈ 0.7546
[ Info: Optimal 3 variables model - mcc ≈ 0.7612
[ Info: Returning model with 4 variables - mcc ≈ 0.7612
[ Info: [  0%] LOSS: training ≈ 0.4927 validation ≈ 0.4851 ( 98%)
[ Info: [  1%] LOSS: training ≈ 0.421  validation ≈ 0.4207 (100%)
[ Info: [  2%] LOSS: training ≈ 0.3852 validation ≈ 0.3887 (101%)
[ Info: [  2%] LOSS: training ≈ 0.3634 validation ≈ 0.37   (102%)
[ Info: [  2%] LOSS: training ≈ 0.3485 validation ≈ 0.3578 (103%)
[ Info: [  3%] LOSS: training ≈ 0.3376 validation ≈ 0.3493 (103%)
[ Info: [  4%] LOSS: training ≈ 0.3291 validation ≈ 0.3432 (104%)
[ Info: [  4%] LOSS: training ≈ 0.3223 validation ≈ 0.3386 (105%)
[ Info: [  4%] LOSS: training ≈ 0.3166 validation ≈ 0.335  (106%)
[ Info: [  5%] LOSS: training ≈ 0.3118 validation ≈ 0.3322 (107%)
[ Info: [  6%] LOSS: training ≈ 0.3076 validation ≈ 0.3299 (107%)
[ Info: [  6%] LOSS: training ≈ 0.3039 validation ≈ 0.3281 (108%)
[ Info: [  6%] LOSS: training ≈ 0.3006 validation ≈ 0.3266 (109%)
[ Info: [  7%] LOSS: training ≈ 0.2977 validation ≈ 0.3254 (109%)
[ Info: [  8%] LOSS: training ≈ 0.295  validation ≈ 0.3243 (110%)
[ Info: [  8%] LOSS: training ≈ 0.2926 validation ≈ 0.3235 (111%)
[ Info: [  8%] LOSS: training ≈ 0.2903 validation ≈ 0.3227 (111%)
[ Info: [  9%] LOSS: training ≈ 0.2882 validation ≈ 0.3221 (112%)
[ Info: [ 10%] LOSS: training ≈ 0.2863 validation ≈ 0.3215 (112%)
[ Info: [ 10%] LOSS: training ≈ 0.2845 validation ≈ 0.3211 (113%)
[ Info: [ 10%] LOSS: training ≈ 0.2828 validation ≈ 0.3207 (113%)
[ Info: [ 11%] LOSS: training ≈ 0.2812 validation ≈ 0.3204 (114%)
[ Info: [ 12%] LOSS: training ≈ 0.2797 validation ≈ 0.3201 (114%)
[ Info: [ 12%] LOSS: training ≈ 0.2783 validation ≈ 0.3198 (115%)
[ Info: [ 12%] LOSS: training ≈ 0.277  validation ≈ 0.3196 (115%)
[ Info: [ 13%] LOSS: training ≈ 0.2757 validation ≈ 0.3194 (116%)
[ Info: [ 14%] LOSS: training ≈ 0.2745 validation ≈ 0.3192 (116%)
[ Info: [ 14%] LOSS: training ≈ 0.2733 validation ≈ 0.3191 (117%)
[ Info: [ 14%] LOSS: training ≈ 0.2722 validation ≈ 0.319  (117%)
[ Info: [ 15%] LOSS: training ≈ 0.2712 validation ≈ 0.3189 (118%)
[ Info: [ 16%] LOSS: training ≈ 0.2702 validation ≈ 0.3188 (118%)
[ Info: [ 16%] LOSS: training ≈ 0.2692 validation ≈ 0.3187 (118%)
[ Info: [ 16%] LOSS: training ≈ 0.2683 validation ≈ 0.3186 (119%)
[ Info: [ 17%] LOSS: training ≈ 0.2674 validation ≈ 0.3186 (119%)
[ Info: [ 18%] LOSS: training ≈ 0.2665 validation ≈ 0.3185 (120%)
[ Info: [ 18%] LOSS: training ≈ 0.2657 validation ≈ 0.3185 (120%)
[ Info: [ 18%] LOSS: training ≈ 0.2649 validation ≈ 0.3185 (120%)
[ Info: [ 19%] LOSS: training ≈ 0.2642 validation ≈ 0.3185 (121%)
[ Info: [ 20%] LOSS: training ≈ 0.2634 validation ≈ 0.3184 (121%)
[ Info: [ 20%] LOSS: training ≈ 0.2627 validation ≈ 0.3184 (121%)
[ Info: [ 20%] LOSS: training ≈ 0.262  validation ≈ 0.3184 (122%)
[ Info: [ 21%] LOSS: training ≈ 0.2614 validation ≈ 0.3184 (122%)
[ Info: [ 22%] LOSS: training ≈ 0.2607 validation ≈ 0.3185 (122%)
[ Info: [ 22%] LOSS: training ≈ 0.2601 validation ≈ 0.3185 (122%)
[ Info: [ 22%] LOSS: training ≈ 0.2595 validation ≈ 0.3185 (123%)
[ Info: [ 23%] LOSS: training ≈ 0.2589 validation ≈ 0.3185 (123%)
[ Info: [ 24%] LOSS: training ≈ 0.2583 validation ≈ 0.3185 (123%)
[ Info: [ 24%] LOSS: training ≈ 0.2578 validation ≈ 0.3186 (124%)
[ Info: [ 24%] LOSS: training ≈ 0.2572 validation ≈ 0.3186 (124%)
[ Info: [ 25%] LOSS: training ≈ 0.2567 validation ≈ 0.3186 (124%)
[ Info: [ 26%] LOSS: training ≈ 0.2562 validation ≈ 0.3187 (124%)
[ Info: [ 26%] LOSS: training ≈ 0.2557 validation ≈ 0.3187 (125%)
[ Info: [ 26%] LOSS: training ≈ 0.2553 validation ≈ 0.3187 (125%)
[ Info: [ 27%] LOSS: training ≈ 0.2548 validation ≈ 0.3188 (125%)
[ Info: [ 28%] LOSS: training ≈ 0.2544 validation ≈ 0.3188 (125%)
[ Info: [ 28%] LOSS: training ≈ 0.2539 validation ≈ 0.3189 (126%)
[ Info: [ 28%] LOSS: training ≈ 0.2535 validation ≈ 0.3189 (126%)
[ Info: [ 29%] LOSS: training ≈ 0.2531 validation ≈ 0.319  (126%)
[ Info: [ 30%] LOSS: training ≈ 0.2527 validation ≈ 0.319  (126%)
[ Info: [ 30%] LOSS: training ≈ 0.2523 validation ≈ 0.3191 (126%)
[ Info: [ 30%] LOSS: training ≈ 0.2519 validation ≈ 0.3192 (127%)
[ Info: [ 31%] LOSS: training ≈ 0.2515 validation ≈ 0.3192 (127%)
[ Info: [ 32%] LOSS: training ≈ 0.2512 validation ≈ 0.3193 (127%)
[ Info: [ 32%] LOSS: training ≈ 0.2508 validation ≈ 0.3194 (127%)
[ Info: [ 32%] LOSS: training ≈ 0.2505 validation ≈ 0.3194 (128%)
[ Info: [ 33%] LOSS: training ≈ 0.2502 validation ≈ 0.3195 (128%)
[ Info: [ 34%] LOSS: training ≈ 0.2498 validation ≈ 0.3196 (128%)
[ Info: [ 34%] LOSS: training ≈ 0.2495 validation ≈ 0.3196 (128%)
[ Info: [ 34%] LOSS: training ≈ 0.2492 validation ≈ 0.3197 (128%)
[ Info: [ 35%] LOSS: training ≈ 0.2489 validation ≈ 0.3198 (128%)
[ Info: [ 36%] LOSS: training ≈ 0.2486 validation ≈ 0.3199 (129%)
[ Info: [ 36%] LOSS: training ≈ 0.2483 validation ≈ 0.3199 (129%)
[ Info: [ 36%] LOSS: training ≈ 0.248  validation ≈ 0.32   (129%)
[ Info: [ 37%] LOSS: training ≈ 0.2478 validation ≈ 0.3201 (129%)
[ Info: [ 38%] LOSS: training ≈ 0.2475 validation ≈ 0.3202 (129%)
[ Info: [ 38%] LOSS: training ≈ 0.2472 validation ≈ 0.3203 (130%)
[ Info: [ 38%] LOSS: training ≈ 0.247  validation ≈ 0.3203 (130%)
[ Info: [ 39%] LOSS: training ≈ 0.2467 validation ≈ 0.3204 (130%)
[ Info: [ 40%] LOSS: training ≈ 0.2465 validation ≈ 0.3205 (130%)
[ Info: [ 40%] LOSS: training ≈ 0.2463 validation ≈ 0.3206 (130%)
[ Info: [ 40%] LOSS: training ≈ 0.246  validation ≈ 0.3207 (130%)
[ Info: [ 41%] LOSS: training ≈ 0.2458 validation ≈ 0.3208 (131%)
[ Info: [ 42%] LOSS: training ≈ 0.2456 validation ≈ 0.3209 (131%)
[ Info: [ 42%] LOSS: training ≈ 0.2454 validation ≈ 0.3209 (131%)
[ Info: [ 42%] LOSS: training ≈ 0.2451 validation ≈ 0.321  (131%)
[ Info: [ 43%] LOSS: training ≈ 0.2449 validation ≈ 0.3211 (131%)
[ Info: [ 44%] LOSS: training ≈ 0.2447 validation ≈ 0.3212 (131%)
[ Info: [ 44%] LOSS: training ≈ 0.2445 validation ≈ 0.3213 (131%)
[ Info: [ 44%] LOSS: training ≈ 0.2443 validation ≈ 0.3214 (132%)
[ Info: [ 45%] LOSS: training ≈ 0.2441 validation ≈ 0.3215 (132%)
[ Info: [ 46%] LOSS: training ≈ 0.244  validation ≈ 0.3216 (132%)
[ Info: [ 46%] LOSS: training ≈ 0.2438 validation ≈ 0.3217 (132%)
[ Info: [ 46%] LOSS: training ≈ 0.2436 validation ≈ 0.3218 (132%)
[ Info: [ 47%] LOSS: training ≈ 0.2434 validation ≈ 0.3219 (132%)
[ Info: [ 48%] LOSS: training ≈ 0.2432 validation ≈ 0.322  (132%)
[ Info: [ 48%] LOSS: training ≈ 0.2431 validation ≈ 0.3221 (132%)
[ Info: [ 48%] LOSS: training ≈ 0.2429 validation ≈ 0.3222 (133%)
[ Info: [ 49%] LOSS: training ≈ 0.2428 validation ≈ 0.3223 (133%)
[ Info: [ 50%] LOSS: training ≈ 0.2426 validation ≈ 0.3224 (133%)
[ Info: [ 50%] LOSS: training ≈ 0.2424 validation ≈ 0.3225 (133%)
[ Info: [ 50%] LOSS: training ≈ 0.2423 validation ≈ 0.3226 (133%)
[ Info: [ 51%] LOSS: training ≈ 0.2421 validation ≈ 0.3227 (133%)
[ Info: [ 52%] LOSS: training ≈ 0.242  validation ≈ 0.3227 (133%)
[ Info: [ 52%] LOSS: training ≈ 0.2418 validation ≈ 0.3228 (133%)
[ Info: [ 52%] LOSS: training ≈ 0.2417 validation ≈ 0.3229 (134%)
[ Info: [ 53%] LOSS: training ≈ 0.2416 validation ≈ 0.323  (134%)
[ Info: [ 54%] LOSS: training ≈ 0.2414 validation ≈ 0.3231 (134%)
[ Info: [ 54%] LOSS: training ≈ 0.2413 validation ≈ 0.3232 (134%)
[ Info: [ 55%] LOSS: training ≈ 0.2412 validation ≈ 0.3233 (134%)
[ Info: [ 55%] LOSS: training ≈ 0.241  validation ≈ 0.3234 (134%)
[ Info: [ 56%] LOSS: training ≈ 0.2409 validation ≈ 0.3235 (134%)
[ Info: [ 56%] LOSS: training ≈ 0.2408 validation ≈ 0.3236 (134%)
[ Info: [ 56%] LOSS: training ≈ 0.2407 validation ≈ 0.3237 (135%)
[ Info: [ 57%] LOSS: training ≈ 0.2405 validation ≈ 0.3238 (135%)
[ Info: [ 57%] LOSS: training ≈ 0.2404 validation ≈ 0.3239 (135%)
[ Info: [ 58%] LOSS: training ≈ 0.2403 validation ≈ 0.324  (135%)
[ Info: [ 58%] LOSS: training ≈ 0.2402 validation ≈ 0.3241 (135%)
[ Info: [ 59%] LOSS: training ≈ 0.2401 validation ≈ 0.3242 (135%)
[ Info: [ 60%] LOSS: training ≈ 0.24   validation ≈ 0.3243 (135%)
[ Info: [ 60%] LOSS: training ≈ 0.2399 validation ≈ 0.3244 (135%)
[ Info: [ 60%] LOSS: training ≈ 0.2398 validation ≈ 0.3245 (135%)
[ Info: [ 61%] LOSS: training ≈ 0.2397 validation ≈ 0.3246 (135%)
[ Info: [ 62%] LOSS: training ≈ 0.2396 validation ≈ 0.3247 (136%)
[ Info: [ 62%] LOSS: training ≈ 0.2395 validation ≈ 0.3248 (136%)
[ Info: [ 62%] LOSS: training ≈ 0.2394 validation ≈ 0.3249 (136%)
[ Info: [ 63%] LOSS: training ≈ 0.2393 validation ≈ 0.325  (136%)
[ Info: [ 64%] LOSS: training ≈ 0.2392 validation ≈ 0.3251 (136%)
[ Info: [ 64%] LOSS: training ≈ 0.2391 validation ≈ 0.3252 (136%)
[ Info: [ 64%] LOSS: training ≈ 0.239  validation ≈ 0.3253 (136%)
[ Info: [ 65%] LOSS: training ≈ 0.2389 validation ≈ 0.3254 (136%)
[ Info: [ 66%] LOSS: training ≈ 0.2388 validation ≈ 0.3255 (136%)
[ Info: [ 66%] LOSS: training ≈ 0.2387 validation ≈ 0.3256 (136%)
[ Info: [ 66%] LOSS: training ≈ 0.2386 validation ≈ 0.3257 (136%)
[ Info: [ 67%] LOSS: training ≈ 0.2386 validation ≈ 0.3258 (137%)
[ Info: [ 68%] LOSS: training ≈ 0.2385 validation ≈ 0.3259 (137%)
[ Info: [ 68%] LOSS: training ≈ 0.2384 validation ≈ 0.326  (137%)
[ Info: [ 68%] LOSS: training ≈ 0.2383 validation ≈ 0.3261 (137%)
[ Info: [ 69%] LOSS: training ≈ 0.2382 validation ≈ 0.3262 (137%)
[ Info: [ 70%] LOSS: training ≈ 0.2382 validation ≈ 0.3263 (137%)
[ Info: [ 70%] LOSS: training ≈ 0.2381 validation ≈ 0.3264 (137%)
[ Info: [ 70%] LOSS: training ≈ 0.238  validation ≈ 0.3265 (137%)
[ Info: [ 71%] LOSS: training ≈ 0.2379 validation ≈ 0.3266 (137%)
[ Info: [ 72%] LOSS: training ≈ 0.2379 validation ≈ 0.3267 (137%)
[ Info: [ 72%] LOSS: training ≈ 0.2378 validation ≈ 0.3268 (137%)
[ Info: [ 72%] LOSS: training ≈ 0.2377 validation ≈ 0.3269 (138%)
[ Info: [ 73%] LOSS: training ≈ 0.2376 validation ≈ 0.327  (138%)
[ Info: [ 74%] LOSS: training ≈ 0.2376 validation ≈ 0.3271 (138%)
[ Info: [ 74%] LOSS: training ≈ 0.2375 validation ≈ 0.3272 (138%)
[ Info: [ 74%] LOSS: training ≈ 0.2374 validation ≈ 0.3273 (138%)
[ Info: [ 75%] LOSS: training ≈ 0.2374 validation ≈ 0.3274 (138%)
[ Info: [ 76%] LOSS: training ≈ 0.2373 validation ≈ 0.3275 (138%)
[ Info: [ 76%] LOSS: training ≈ 0.2373 validation ≈ 0.3276 (138%)
[ Info: [ 76%] LOSS: training ≈ 0.2372 validation ≈ 0.3277 (138%)
[ Info: [ 77%] LOSS: training ≈ 0.2371 validation ≈ 0.3278 (138%)
[ Info: [ 78%] LOSS: training ≈ 0.2371 validation ≈ 0.3279 (138%)
[ Info: [ 78%] LOSS: training ≈ 0.237  validation ≈ 0.328  (138%)
[ Info: [ 78%] LOSS: training ≈ 0.2369 validation ≈ 0.3281 (138%)
[ Info: [ 79%] LOSS: training ≈ 0.2369 validation ≈ 0.3282 (139%)
[ Info: [ 80%] LOSS: training ≈ 0.2368 validation ≈ 0.3283 (139%)
[ Info: [ 80%] LOSS: training ≈ 0.2368 validation ≈ 0.3284 (139%)
[ Info: [ 80%] LOSS: training ≈ 0.2367 validation ≈ 0.3285 (139%)
[ Info: [ 81%] LOSS: training ≈ 0.2367 validation ≈ 0.3285 (139%)
[ Info: [ 82%] LOSS: training ≈ 0.2366 validation ≈ 0.3286 (139%)
[ Info: [ 82%] LOSS: training ≈ 0.2366 validation ≈ 0.3287 (139%)
[ Info: [ 82%] LOSS: training ≈ 0.2365 validation ≈ 0.3288 (139%)
[ Info: [ 83%] LOSS: training ≈ 0.2365 validation ≈ 0.3289 (139%)
[ Info: [ 84%] LOSS: training ≈ 0.2364 validation ≈ 0.329  (139%)
[ Info: [ 84%] LOSS: training ≈ 0.2363 validation ≈ 0.3291 (139%)
[ Info: [ 84%] LOSS: training ≈ 0.2363 validation ≈ 0.3292 (139%)
[ Info: [ 85%] LOSS: training ≈ 0.2363 validation ≈ 0.3293 (139%)
[ Info: [ 86%] LOSS: training ≈ 0.2362 validation ≈ 0.3294 (139%)
[ Info: [ 86%] LOSS: training ≈ 0.2362 validation ≈ 0.3295 (140%)
[ Info: [ 86%] LOSS: training ≈ 0.2361 validation ≈ 0.3296 (140%)
[ Info: [ 87%] LOSS: training ≈ 0.2361 validation ≈ 0.3296 (140%)
[ Info: [ 88%] LOSS: training ≈ 0.236  validation ≈ 0.3297 (140%)
[ Info: [ 88%] LOSS: training ≈ 0.236  validation ≈ 0.3298 (140%)
[ Info: [ 88%] LOSS: training ≈ 0.2359 validation ≈ 0.3299 (140%)
[ Info: [ 89%] LOSS: training ≈ 0.2359 validation ≈ 0.33   (140%)
[ Info: [ 90%] LOSS: training ≈ 0.2358 validation ≈ 0.3301 (140%)
[ Info: [ 90%] LOSS: training ≈ 0.2358 validation ≈ 0.3302 (140%)
[ Info: [ 90%] LOSS: training ≈ 0.2358 validation ≈ 0.3303 (140%)
[ Info: [ 91%] LOSS: training ≈ 0.2357 validation ≈ 0.3304 (140%)
[ Info: [ 92%] LOSS: training ≈ 0.2357 validation ≈ 0.3304 (140%)
[ Info: [ 92%] LOSS: training ≈ 0.2356 validation ≈ 0.3305 (140%)
[ Info: [ 92%] LOSS: training ≈ 0.2356 validation ≈ 0.3306 (140%)
[ Info: [ 93%] LOSS: training ≈ 0.2355 validation ≈ 0.3307 (140%)
[ Info: [ 94%] LOSS: training ≈ 0.2355 validation ≈ 0.3308 (140%)
[ Info: [ 94%] LOSS: training ≈ 0.2355 validation ≈ 0.3309 (141%)
[ Info: [ 94%] LOSS: training ≈ 0.2354 validation ≈ 0.331  (141%)
[ Info: [ 95%] LOSS: training ≈ 0.2354 validation ≈ 0.3311 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2354 validation ≈ 0.3311 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2353 validation ≈ 0.3312 (141%)
[ Info: [ 96%] LOSS: training ≈ 0.2353 validation ≈ 0.3313 (141%)
[ Info: [ 97%] LOSS: training ≈ 0.2352 validation ≈ 0.3314 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2352 validation ≈ 0.3315 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2352 validation ≈ 0.3316 (141%)
[ Info: [ 98%] LOSS: training ≈ 0.2351 validation ≈ 0.3316 (141%)
[ Info: [ 99%] LOSS: training ≈ 0.2351 validation ≈ 0.3317 (141%)
[ Info: [100%] LOSS: training ≈ 0.2351 validation ≈ 0.3318 (141%)
[ Info: [100%] LOSS: training ≈ 0.235  validation ≈ 0.3319 (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       |  297    297  26m49.8s
     Testing SDeMo tests passed 

Testing completed after 1661.8s

PkgEval succeeded after 1713.85s