Package evaluation to test Tsunami on Julia 1.12.4 (422f456051*) started at 2026-01-29T14:06:36.905 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 8.1s ################################################################################ # Installation # Installing Tsunami... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [36e41bbe] + Tsunami v0.3.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.2 [ab4f0b2a] + BFloat16s v0.6.1 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.7 [9718e550] + Baselet v0.1.1 [e1450e63] + BufferedStreams v1.2.2 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [0b6fb165] + ChunkCodecCore v1.0.1 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.6 [f151be2c] + EnzymeCore v0.8.18 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.1 [1a297f60] + FillArrays v1.16.0 [53c48c17] + FixedPointNumbers v0.8.5 [587475ba] + Flux v0.16.8 [f6369f11] + ForwardDiff v1.3.1 [d9f16b24] + Functors v0.5.2 [0c68f7d7] + GPUArrays v11.3.4 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [7869d1d1] + IRTools v0.4.15 [a09fc81d] + ImageCore v0.10.5 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.3 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.39 [929cbde3] + LLVM v9.4.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.17.2 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [e94cdb99] + MosaicViews v0.3.4 [872c559c] + NNlib v0.9.33 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [6fe1bfb0] + OffsetArrays v1.17.0 [0b1bfda6] + OneHotArrays v0.2.10 [3bd65402] + Optimisers v0.4.7 [bac558e1] + OrderedCollections v1.8.1 [5432bcbf] + PaddedViews v0.5.12 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.6 [3349acd9] + ProtoBuf v1.2.0 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [431bcebd] + SciMLPublic v1.0.1 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [cae243ae] + StackViews v0.1.2 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [09ab397b] + StructArrays v0.7.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [899adc3e] + TensorBoardLogger v0.1.26 [62fd8b95] + TensorCore v0.1.1 [28d57a85] + Transducers v0.4.85 [36e41bbe] + Tsunami v0.3.1 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.38+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [3161d3a3] + Zstd_jll v1.5.7+1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [8bf52ea8] + CRC32c v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [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 v1.12.1 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets 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 v8.15.0+0 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Installation completed after 6.97s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.12/activate_set.jl:78 Precompiling package dependencies... Precompiling packages... 250507.6 ms ? Tsunami 371333.5 ms ✓ Tsunami → TsunamiEnzymeExt 1 dependency successfully precompiled in 632 seconds. 319 already precompiled. 1 dependencies failed but may be precompilable after restarting julia 2 dependencies had output during precompilation: ┌ Tsunami → TsunamiEnzymeExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Tsunami │ WARNING: Method definition rrule(Type{T}, Number...) where {T<:(StaticArraysCore.SArray{Tuple{S}, T, 1, S} where T where S)} in module StaticArraysChainRulesCoreExt at /home/pkgeval/.julia/packages/StaticArrays/IZgIP/ext/StaticArraysChainRulesCoreExt.jl:34 overwritten in module StaticArraysChainRulesCoreExt on the same line (check for duplicate calls to `include`). │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ Precompilation completed after 657.94s ################################################################################ # Testing # Testing Tsunami Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_A2sxaA/Project.toml` [a93c6f00] + DataFrames v1.8.1 [7da242da] + Enzyme v0.13.123 [eb30cadb] + MLDatasets v0.7.20 [d7d3b36b] + ParameterSchedulers v0.4.3 [f8b46487] + TestItemRunner v1.1.4 [1c621080] + TestItems v1.0.0 Updating `/tmp/jl_A2sxaA/Manifest.toml` [4c555306] + ArrayLayouts v1.12.2 [a963bdd2] + AtomsBase v0.5.2 ⌅ [ab4f0b2a] ↓ BFloat16s v0.6.1 ⇒ v0.5.1 [d1d4a3ce] + BitFlags v0.1.9 [336ed68f] + CSV v0.10.15 [46823bd8] + Chemfiles v0.10.43 [944b1d66] + CodecZlib v0.7.8 [35d6a980] + ColorSchemes v3.31.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [124859b0] + DataDeps v0.7.13 [a93c6f00] + DataFrames v1.8.1 ⌅ [864edb3b] ↓ DataStructures v0.19.3 ⇒ v0.18.22 [7da242da] + Enzyme v0.13.123 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [48062228] + FilePathsBase v0.9.24 [61eb1bfa] + GPUCompiler v1.8.2 [92fee26a] + GZip v0.6.2 [c27321d9] + Glob v1.4.0 [f67ccb44] + HDF5 v0.17.2 [cd3eb016] + HTTP v1.10.19 [c817782e] + ImageBase v0.1.7 [4e3cecfd] + ImageShow v0.3.8 ⌅ [4858937d] + InfiniteArrays v0.14.4 [e1ba4f0e] + Infinities v0.1.12 [842dd82b] + InlineStrings v1.4.5 [7d512f48] + InternedStrings v0.7.0 [41ab1584] + InvertedIndices v1.3.1 [0f8b85d8] + JSON3 v1.14.3 [b964fa9f] + LaTeXStrings v1.4.0 [5078a376] + LazyArrays v2.9.5 [8cdb02fc] + LazyModules v0.3.1 [e6f89c97] + LoggingExtras v1.2.0 [23992714] + MAT v0.11.4 [eb30cadb] + MLDatasets v0.7.20 [3da0fdf6] + MPIPreferences v0.1.11 [739be429] + MbedTLS v1.1.9 [15e1cf62] + NPZ v0.4.3 [d8793406] + ObjectFile v0.5.0 [4d8831e6] + OpenSSL v1.6.1 [65ce6f38] + PackageExtensionCompat v1.0.2 [d7d3b36b] + ParameterSchedulers v0.4.3 [69de0a69] + Parsers v2.8.3 [7b2266bf] + PeriodicTable v1.2.1 [fbb45041] + Pickle v0.3.6 [2dfb63ee] + PooledArrays v1.4.3 [08abe8d2] + PrettyTables v3.1.2 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.9 [777ac1f9] + SimpleBufferStream v1.2.0 [4db3bf67] + StridedViews v0.4.3 [69024149] + StringEncodings v0.3.7 [892a3eda] + StringManipulation v0.4.2 [53d494c1] + StructIO v0.3.1 [856f2bd8] + StructTypes v1.11.0 [f8b46487] + TestItemRunner v1.1.4 [1c621080] + TestItems v1.0.0 [e689c965] + Tracy v0.1.6 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [1986cc42] + Unitful v1.27.0 [a7773ee8] + UnitfulAtomic v1.0.0 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [a5390f91] + ZipFile v0.10.1 [78a364fa] + Chemfiles_jll v0.10.4+0 [7cc45869] + Enzyme_jll v0.0.243+0 ⌅ [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [ad6e5548] + LibTracyClient_jll v0.13.1+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [7cb0a576] + MPICH_jll v4.3.2+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.9+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] + libaec_jll v1.1.5+0 [3fa0cd96] + REPL v1.11.0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_A2sxaA/Project.toml` [a93c6f00] DataFrames v1.8.1 [7da242da] Enzyme v0.13.123 [587475ba] Flux v0.16.8 [d9f16b24] Functors v0.5.2 [7e8f7934] MLDataDevices v1.17.2 [eb30cadb] MLDatasets v0.7.20 [f1d291b0] MLUtils v0.4.8 [3bd65402] Optimisers v0.4.7 [d7d3b36b] ParameterSchedulers v0.4.3 [189a3867] Reexport v1.2.2 [10745b16] Statistics v1.11.1 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [36e41bbe] Tsunami v0.3.1 [44cfe95a] Pkg v1.12.1 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_A2sxaA/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4c555306] ArrayLayouts v1.12.2 [a9b6321e] Atomix v1.1.2 [a963bdd2] AtomsBase v0.5.2 ⌅ [ab4f0b2a] BFloat16s v0.5.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.7 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [46823bd8] Chemfiles v0.10.43 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.13 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.6 [7da242da] Enzyme v0.13.123 [f151be2c] EnzymeCore v0.8.18 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [53c48c17] FixedPointNumbers v0.8.5 [587475ba] Flux v0.16.8 [f6369f11] ForwardDiff v1.3.1 [d9f16b24] Functors v0.5.2 [0c68f7d7] GPUArrays v11.3.4 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.8.2 [92fee26a] GZip v0.6.2 [c27321d9] Glob v1.4.0 [f67ccb44] HDF5 v0.17.2 [cd3eb016] HTTP v1.10.19 [076d061b] HashArrayMappedTries v0.2.0 [7869d1d1] IRTools v0.4.15 [c817782e] ImageBase v0.1.7 [a09fc81d] ImageCore v0.10.5 [4e3cecfd] ImageShow v0.3.8 ⌅ [4858937d] InfiniteArrays v0.14.4 [e1ba4f0e] Infinities v0.1.12 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [7d512f48] InternedStrings v0.7.0 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.3 [692b3bcd] JLLWrappers v1.7.1 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [929cbde3] LLVM v9.4.4 [b964fa9f] LaTeXStrings v1.4.0 [5078a376] LazyArrays v2.9.5 [8cdb02fc] LazyModules v0.3.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [23992714] MAT v0.11.4 [c2834f40] MLCore v1.0.0 [7e8f7934] MLDataDevices v1.17.2 [eb30cadb] MLDatasets v0.7.20 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 [739be429] MbedTLS v1.1.9 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [e94cdb99] MosaicViews v0.3.4 [872c559c] NNlib v0.9.33 [15e1cf62] NPZ v0.4.3 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [d8793406] ObjectFile v0.5.0 [6fe1bfb0] OffsetArrays v1.17.0 [0b1bfda6] OneHotArrays v0.2.10 [4d8831e6] OpenSSL v1.6.1 [3bd65402] Optimisers v0.4.7 [bac558e1] OrderedCollections v1.8.1 [65ce6f38] PackageExtensionCompat v1.0.2 [5432bcbf] PaddedViews v0.5.12 [d7d3b36b] ParameterSchedulers v0.4.3 [69de0a69] Parsers v2.8.3 [7b2266bf] PeriodicTable v1.2.1 [fbb45041] Pickle v0.3.6 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v3.1.2 [33c8b6b6] ProgressLogging v0.1.6 [3349acd9] ProtoBuf v1.2.0 [43287f4e] PtrArrays v1.3.0 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [431bcebd] SciMLPublic v1.0.1 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [cae243ae] StackViews v0.1.2 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4db3bf67] StridedViews v0.4.3 [69024149] StringEncodings v0.3.7 [892a3eda] StringManipulation v0.4.2 [09ab397b] StructArrays v0.7.2 [53d494c1] StructIO v0.3.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [899adc3e] TensorBoardLogger v0.1.26 [62fd8b95] TensorCore v0.1.1 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [e689c965] Tracy v0.1.6 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [36e41bbe] Tsunami v0.3.1 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.27.0 [a7773ee8] UnitfulAtomic v1.0.0 [013be700] UnsafeAtomics v0.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [a5390f91] ZipFile v0.10.1 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [78a364fa] Chemfiles_jll v0.10.4+0 [7cc45869] Enzyme_jll v0.0.243+0 ⌅ [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.2+0 [dad2f222] LLVMExtra_jll v0.0.38+0 [ad6e5548] LibTracyClient_jll v0.13.1+0 [94ce4f54] Libiconv_jll v1.18.0+0 [7cb0a576] MPICH_jll v4.3.2+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.9+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [477f73a3] libaec_jll v1.1.5+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [8bf52ea8] CRC32c v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [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 v1.12.1 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets 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 v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 31591.4 ms ✓ TensorBoardLogger 7852.4 ms ✓ MLDataDevices → OneHotArraysExt 51121.0 ms ✓ MLDataDevices → MLUtilsExt 12213.6 ms ✓ MLDataDevices → GPUArraysSparseArraysExt 146347.7 ms ✓ Flux 103410.6 ms ✓ Tsunami 6 dependencies successfully precompiled in 359 seconds. 211 already precompiled. Precompiling packages... 100249.9 ms ✓ DataFrames 1 dependency successfully precompiled in 102 seconds. 35 already precompiled. Precompiling packages... 9266.6 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 10 seconds. 48 already precompiled. Precompiling packages... 10108.9 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 11 seconds. 63 already precompiled. Precompiling packages... 152169.2 ms ✓ Enzyme 1 dependency successfully precompiled in 153 seconds. 47 already precompiled. Precompiling packages... 28899.1 ms ✓ Enzyme → EnzymeSpecialFunctionsExt 28213.9 ms ✓ Enzyme → EnzymeStaticArraysExt 28472.9 ms ✓ Enzyme → EnzymeChainRulesCoreExt 24003.3 ms ✓ Enzyme → EnzymeLogExpFunctionsExt 26639.3 ms ✓ Enzyme → EnzymeGPUArraysCoreExt Info Given FluxEnzymeExt was explicitly requested, output will be shown live  ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ For the time being we recommend using 1.11 or LTS (1.10). │ │ For latest updates, check the status of support for Julia 1.12+ at │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 43313.6 ms ✓ Flux → FluxEnzymeExt 6 dependencies successfully precompiled in 183 seconds. 190 already precompiled. 6 dependencies had output during precompilation: ┌ Enzyme → EnzymeLogExpFunctionsExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeSpecialFunctionsExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeChainRulesCoreExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeGPUArraysCoreExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeStaticArraysExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Flux → FluxEnzymeExt │ [Output was shown above] └ Precompiling packages... 25016.4 ms ✓ Enzyme → EnzymeBFloat16sExt Info Given TsunamiEnzymeExt was explicitly requested, output will be shown live  ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ For the time being we recommend using 1.11 or LTS (1.10). │ │ For latest updates, check the status of support for Julia 1.12+ at │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 54079.0 ms ✓ Tsunami → TsunamiEnzymeExt 2 dependencies successfully precompiled in 82 seconds. 232 already precompiled. 2 dependencies had output during precompilation: ┌ Enzyme → EnzymeBFloat16sExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/Jkgzt/src/Enzyme.jl:1587 └ ┌ Tsunami → TsunamiEnzymeExt │ [Output was shown above] └ ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. Set `MLDATADEVICES_SILENCE_WARN_NO_GPU=1` to silence this warning. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) │ e. `OpenCL.jl` for OpenCL support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/Zv4TL/src/internal.jl:114 [ Info: GPUs available: false, used: false [ Info: Model Summary: LinearModel() # 1_000 parameters, plus 1_000 non-trainable [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters BatchNorm(3), # 6 parameters, plus 6 Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 6 trainable arrays, 29 parameters, # plus 2 non-trainable, 6 parameters, summarysize 596 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Train Epoch 1: 100%|██████████████████████| Time: 0:00:00 ( 0.76 ms/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.67 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_2 Train Epoch 1: 100%|██████████████████████| Time: 0:00:00 ( 0.43 ms/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.44 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Testing: 100%|████████████████████████████| Time: 0:00:00 (58.33 μs/it) a: 1.0 b: 2.0 Validation: 100%|█████████████████████████| Time: 0:00:00 (63.34 μs/it) a: 1.0 b: 2.0 [ Info: GPUs available: false, used: false [ Info: Model Summary: TestModule1( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), 1, 2, ) # Total: 4 arrays, 23 parameters, 324 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_1 Train Epoch 1: 50%|███████████ | ETA: 0:00:25 (25.52 s/it) Train Epoch 1: 100%|██████████████████████| Time: 0:00:25 (12.89 s/it) Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.54 ms/it) [ Info: GPUs available: false, used: false [ Info: Model Summary: TBLoggingModule( Chain( Dense(4 => 3, relu), # 15 parameters Dense(3 => 2), # 8 parameters ), true, true, true, true, ) # Total: 4 arrays, 23 parameters, 316 bytes. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_2 Train Epoch 1: 50%|███████████ | ETA: 0:00:04 ( 4.22 s/it) train/batch_idx_step: 1 train/loss_step: 4.37     Train Epoch 1: 100%|██████████████████████| Time: 0:00:04 ( 2.13 s/it) train/batch_idx_step: 2 train/loss_step: 1.52   Train Epoch 2: 100%|██████████████████████| Time: 0:00:00 ( 0.63 ms/it) train/batch_idx_step: 2 train/loss_step: 1.51   Train Epoch 3: 100%|██████████████████████| Time: 0:00:00 ( 0.55 ms/it) train/batch_idx_step: 2 train/loss_step: 1.51   Train Epoch 4: 100%|██████████████████████| Time: 0:00:00 ( 0.55 ms/it) train/batch_idx_step: 2 train/loss_step: 1.51 Test Summary: | Pass Total Time Package | 67 67 24m04.4s Precompiling packages... 2719.2 ms ✓ Accessors → UnitfulExt 1521.8 ms ✓ Chemfiles_jll 6796.1 ms ✓ AtomsBase 8128.5 ms ✓ ImageShow 8656.1 ms ✓ Pickle 5437.3 ms ✓ NPZ 7675.2 ms ✓ DataDeps 8442.3 ms ✓ MAT 6874.3 ms ✓ Chemfiles 42463.6 ms ✓ MLDatasets 10 dependencies successfully precompiled in 104 seconds. 204 already precompiled. Precompiling packages... 19181.0 ms ✓ InfiniteArrays 4185.0 ms ✓ InfiniteArrays → InfiniteArraysStatisticsExt 7520.4 ms ✓ ParameterSchedulers 3 dependencies successfully precompiled in 31 seconds. 35 already precompiled. Precompiling packages... 9945.7 ms ✓ Transducers → TransducersLazyArraysExt 1 dependency successfully precompiled in 12 seconds. 57 already precompiled. [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/test/tsunami_logs/run_3 [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/examples/MLP_MNIST/tsunami_logs/run_1 Val Epoch 0: 2%|▌ | ETA: 0:00:05 ( 0.13 s/it) accuracy/val: 0.148 loss/val: 2.35     Val Epoch 0: 4%|█ | ETA: 0:00:35 ( 0.78 s/it) accuracy/val: 0.133 loss/val: 2.34     Val Epoch 0: 36%|████████▋ | ETA: 0:00:02 (98.13 ms/it) accuracy/val: 0.113 loss/val: 2.35     Val Epoch 0: 64%|███████████████▍ | ETA: 0:00:01 (64.27 ms/it) accuracy/val: 0.112 loss/val: 2.35     Val Epoch 0: 98%|███████████████████████▌| ETA: 0:00:00 (44.16 ms/it) accuracy/val: 0.108 loss/val: 2.35     Val Epoch 0: 100%|████████████████████████| Time: 0:00:02 (43.36 ms/it) accuracy/val: 0.108 loss/val: 2.35   Train Epoch 1: 0%| | ETA: 1:39:19 (14.15 s/it) accuracy/train: 0.125 loss/train: 2.36     Train Epoch 1: 1%|▏ | ETA: 0:33:11 ( 4.75 s/it) accuracy/train: 0.562 loss/train: 2.44     Train Epoch 1: 1%|▎ | ETA: 0:19:58 ( 2.87 s/it) accuracy/train: 0.555 loss/train: 2.46     Train Epoch 1: 2%|▍ | ETA: 0:14:18 ( 2.07 s/it) accuracy/train: 0.703 loss/train: 1.39     Train Epoch 1: 2%|▌ | ETA: 0:11:09 ( 1.62 s/it) accuracy/train: 0.68 loss/train: 1.32     Train Epoch 1: 3%|▋ | ETA: 0:09:08 ( 1.34 s/it) accuracy/train: 0.812 loss/train: 0.501     Train Epoch 1: 3%|▋ | ETA: 0:07:47 ( 1.14 s/it) accuracy/train: 0.766 loss/train: 0.657     Train Epoch 1: 4%|▉ | ETA: 0:06:21 ( 0.94 s/it) accuracy/train: 0.844 loss/train: 0.476     Train Epoch 1: 4%|█ | ETA: 0:05:39 ( 0.84 s/it) accuracy/train: 0.883 loss/train: 0.367     Train Epoch 1: 5%|█▏ | ETA: 0:04:51 ( 0.73 s/it) accuracy/train: 0.93 loss/train: 0.295     Train Epoch 1: 6%|█▎ | ETA: 0:04:15 ( 0.64 s/it) accuracy/train: 0.867 loss/train: 0.49     Train Epoch 1: 6%|█▍ | ETA: 0:03:46 ( 0.57 s/it) accuracy/train: 0.867 loss/train: 0.353     Train Epoch 1: 7%|█▋ | ETA: 0:03:24 ( 0.52 s/it) accuracy/train: 0.898 loss/train: 0.291     Train Epoch 1: 8%|█▋ | ETA: 0:03:11 ( 0.49 s/it) accuracy/train: 0.93 loss/train: 0.256     Train Epoch 1: 8%|█▊ | ETA: 0:03:00 ( 0.47 s/it) accuracy/train: 0.914 loss/train: 0.326     Train Epoch 1: 9%|█▉ | ETA: 0:02:46 ( 0.43 s/it) accuracy/train: 0.914 loss/train: 0.342     Train Epoch 1: 9%|██ | ETA: 0:02:38 ( 0.41 s/it) accuracy/train: 0.875 loss/train: 0.26     Train Epoch 1: 10%|██▎ | ETA: 0:02:26 ( 0.39 s/it) accuracy/train: 0.961 loss/train: 0.224     Train Epoch 1: 10%|██▎ | ETA: 0:02:20 ( 0.37 s/it) accuracy/train: 0.914 loss/train: 0.299     Train Epoch 1: 11%|██▍ | ETA: 0:02:14 ( 0.36 s/it) accuracy/train: 0.945 loss/train: 0.286     Train Epoch 1: 11%|██▌ | ETA: 0:02:09 ( 0.35 s/it) accuracy/train: 0.938 loss/train: 0.205     Train Epoch 1: 12%|██▋ | ETA: 0:02:04 ( 0.33 s/it) accuracy/train: 0.914 loss/train: 0.258     Train Epoch 1: 12%|██▊ | ETA: 0:01:59 ( 0.32 s/it) accuracy/train: 0.953 loss/train: 0.223     Train Epoch 1: 13%|██▉ | ETA: 0:01:55 ( 0.31 s/it) accuracy/train: 0.914 loss/train: 0.239     Train Epoch 1: 13%|██▉ | ETA: 0:01:51 ( 0.30 s/it) accuracy/train: 0.945 loss/train: 0.185     Train Epoch 1: 14%|███ | ETA: 0:01:47 ( 0.29 s/it) accuracy/train: 0.938 loss/train: 0.233     Train Epoch 1: 14%|███▏ | ETA: 0:01:43 ( 0.29 s/it) accuracy/train: 0.914 loss/train: 0.209     Train Epoch 1: 15%|███▎ | ETA: 0:01:40 ( 0.28 s/it) accuracy/train: 0.898 loss/train: 0.296     Train Epoch 1: 15%|███▍ | ETA: 0:01:37 ( 0.27 s/it) accuracy/train: 0.922 loss/train: 0.282     Train Epoch 1: 16%|███▌ | ETA: 0:01:33 ( 0.26 s/it) accuracy/train: 0.891 loss/train: 0.317     Train Epoch 1: 17%|███▋ | ETA: 0:01:29 ( 0.25 s/it) accuracy/train: 0.891 loss/train: 0.342     Train Epoch 1: 17%|███▊ | ETA: 0:01:26 ( 0.25 s/it) accuracy/train: 0.898 loss/train: 0.355     Train Epoch 1: 18%|███▉ | ETA: 0:01:24 ( 0.24 s/it) accuracy/train: 0.875 loss/train: 0.38     Train Epoch 1: 18%|████ | ETA: 0:01:20 ( 0.23 s/it) accuracy/train: 0.922 loss/train: 0.215     Train Epoch 1: 19%|████▏ | ETA: 0:01:18 ( 0.23 s/it) accuracy/train: 0.922 loss/train: 0.267     Train Epoch 1: 19%|████▎ | ETA: 0:01:15 ( 0.22 s/it) accuracy/train: 0.953 loss/train: 0.193     Train Epoch 1: 20%|████▍ | ETA: 0:01:13 ( 0.22 s/it) accuracy/train: 0.914 loss/train: 0.216     Train Epoch 1: 21%|████▌ | ETA: 0:01:11 ( 0.21 s/it) accuracy/train: 0.914 loss/train: 0.236     Train Epoch 1: 21%|████▊ | ETA: 0:01:09 ( 0.21 s/it) accuracy/train: 0.914 loss/train: 0.238     Train Epoch 1: 22%|████▉ | ETA: 0:01:06 ( 0.20 s/it) accuracy/train: 0.922 loss/train: 0.189     Train Epoch 1: 23%|█████ | ETA: 0:01:05 ( 0.20 s/it) accuracy/train: 0.938 loss/train: 0.204     Train Epoch 1: 23%|█████ | ETA: 0:01:03 ( 0.20 s/it) accuracy/train: 0.914 loss/train: 0.367     Train Epoch 1: 24%|█████▎ | ETA: 0:01:01 ( 0.19 s/it) accuracy/train: 0.93 loss/train: 0.195     Train Epoch 1: 24%|█████▍ | ETA: 0:01:00 ( 0.19 s/it) accuracy/train: 0.922 loss/train: 0.188     Train Epoch 1: 25%|█████▍ | ETA: 0:00:59 ( 0.19 s/it) accuracy/train: 0.891 loss/train: 0.337     Train Epoch 1: 25%|█████▌ | ETA: 0:00:58 ( 0.18 s/it) accuracy/train: 0.961 loss/train: 0.132     Train Epoch 1: 26%|█████▋ | ETA: 0:00:56 ( 0.18 s/it) accuracy/train: 0.914 loss/train: 0.219     Train Epoch 1: 26%|█████▊ | ETA: 0:00:55 ( 0.18 s/it) accuracy/train: 0.953 loss/train: 0.148     Train Epoch 1: 27%|██████ | ETA: 0:00:53 ( 0.18 s/it) accuracy/train: 0.914 loss/train: 0.273     Train Epoch 1: 27%|██████ | ETA: 0:00:52 ( 0.17 s/it) accuracy/train: 0.945 loss/train: 0.15     Train Epoch 1: 28%|██████▎ | ETA: 0:00:51 ( 0.17 s/it) accuracy/train: 0.93 loss/train: 0.246     Train Epoch 1: 29%|██████▍ | ETA: 0:00:50 ( 0.17 s/it) accuracy/train: 0.922 loss/train: 0.207     Train Epoch 1: 30%|██████▌ | ETA: 0:00:48 ( 0.16 s/it) accuracy/train: 0.93 loss/train: 0.151     Train Epoch 1: 30%|██████▋ | ETA: 0:00:47 ( 0.16 s/it) accuracy/train: 0.961 loss/train: 0.159     Train Epoch 1: 31%|██████▊ | ETA: 0:00:46 ( 0.16 s/it) accuracy/train: 0.938 loss/train: 0.213     Train Epoch 1: 32%|██████▉ | ETA: 0:00:45 ( 0.16 s/it) accuracy/train: 0.961 loss/train: 0.164     Train Epoch 1: 32%|███████▏ | ETA: 0:00:44 ( 0.15 s/it) accuracy/train: 0.961 loss/train: 0.0831     Train Epoch 1: 33%|███████▎ | ETA: 0:00:43 ( 0.15 s/it) accuracy/train: 0.945 loss/train: 0.153     Train Epoch 1: 34%|███████▍ | ETA: 0:00:42 ( 0.15 s/it) accuracy/train: 0.953 loss/train: 0.175     Train Epoch 1: 34%|███████▌ | ETA: 0:00:41 ( 0.15 s/it) accuracy/train: 0.945 loss/train: 0.211     Train Epoch 1: 35%|███████▋ | ETA: 0:00:40 ( 0.15 s/it) accuracy/train: 0.953 loss/train: 0.139     Train Epoch 1: 36%|███████▉ | ETA: 0:00:39 ( 0.14 s/it) accuracy/train: 0.953 loss/train: 0.153     Train Epoch 1: 36%|████████ | ETA: 0:00:38 ( 0.14 s/it) accuracy/train: 0.906 loss/train: 0.342     Train Epoch 1: 37%|████████▏ | ETA: 0:00:37 ( 0.14 s/it) accuracy/train: 0.961 loss/train: 0.146     Train Epoch 1: 37%|████████▎ | ETA: 0:00:37 ( 0.14 s/it) accuracy/train: 0.945 loss/train: 0.168     Train Epoch 1: 38%|████████▍ | ETA: 0:00:36 ( 0.14 s/it) accuracy/train: 0.93 loss/train: 0.124     Train Epoch 1: 39%|████████▌ | ETA: 0:00:35 ( 0.14 s/it) accuracy/train: 0.945 loss/train: 0.134     Train Epoch 1: 39%|████████▋ | ETA: 0:00:34 ( 0.14 s/it) accuracy/train: 0.992 loss/train: 0.0642     Train Epoch 1: 40%|████████▊ | ETA: 0:00:34 ( 0.13 s/it) accuracy/train: 0.953 loss/train: 0.155     Train Epoch 1: 41%|████████▉ | ETA: 0:00:33 ( 0.13 s/it) accuracy/train: 0.953 loss/train: 0.125     Train Epoch 1: 41%|█████████▏ | ETA: 0:00:32 ( 0.13 s/it) accuracy/train: 0.953 loss/train: 0.16     Train Epoch 1: 42%|█████████▎ | ETA: 0:00:31 ( 0.13 s/it) accuracy/train: 0.961 loss/train: 0.205     Train Epoch 1: 42%|█████████▍ | ETA: 0:00:31 ( 0.13 s/it) accuracy/train: 0.945 loss/train: 0.25     Train Epoch 1: 43%|█████████▍ | ETA: 0:00:31 ( 0.13 s/it) accuracy/train: 0.969 loss/train: 0.114     Train Epoch 1: 43%|█████████▌ | ETA: 0:00:30 ( 0.13 s/it) accuracy/train: 0.961 loss/train: 0.114     Train Epoch 1: 44%|█████████▋ | ETA: 0:00:30 ( 0.13 s/it) accuracy/train: 0.969 loss/train: 0.125     Train Epoch 1: 44%|█████████▊ | ETA: 0:00:29 ( 0.13 s/it) accuracy/train: 0.961 loss/train: 0.165     Train Epoch 1: 45%|█████████▉ | ETA: 0:00:29 ( 0.13 s/it) accuracy/train: 0.938 loss/train: 0.188     Train Epoch 1: 45%|██████████ | ETA: 0:00:28 ( 0.12 s/it) accuracy/train: 0.945 loss/train: 0.206     Train Epoch 1: 46%|██████████▏ | ETA: 0:00:27 ( 0.12 s/it) accuracy/train: 0.977 loss/train: 0.0687     Train Epoch 1: 47%|██████████▎ | ETA: 0:00:27 ( 0.12 s/it) accuracy/train: 0.969 loss/train: 0.142     Train Epoch 1: 47%|██████████▍ | ETA: 0:00:26 ( 0.12 s/it) accuracy/train: 0.945 loss/train: 0.284     Train Epoch 1: 48%|██████████▌ | ETA: 0:00:26 ( 0.12 s/it) accuracy/train: 0.906 loss/train: 0.278     Train Epoch 1: 48%|██████████▋ | ETA: 0:00:26 ( 0.12 s/it) accuracy/train: 0.945 loss/train: 0.186     Train Epoch 1: 49%|██████████▊ | ETA: 0:00:25 ( 0.12 s/it) accuracy/train: 0.938 loss/train: 0.177     Train Epoch 1: 50%|██████████▉ | ETA: 0:00:25 ( 0.12 s/it) accuracy/train: 0.953 loss/train: 0.119     Train Epoch 1: 50%|███████████ | ETA: 0:00:24 ( 0.12 s/it) accuracy/train: 0.945 loss/train: 0.142     Train Epoch 1: 51%|███████████▎ | ETA: 0:00:24 ( 0.12 s/it) accuracy/train: 0.984 loss/train: 0.0935     Train Epoch 1: 51%|███████████▍ | ETA: 0:00:23 ( 0.12 s/it) accuracy/train: 0.945 loss/train: 0.16     Train Epoch 1: 52%|███████████▍ | ETA: 0:00:23 ( 0.12 s/it) accuracy/train: 0.953 loss/train: 0.214     Train Epoch 1: 53%|███████████▋ | ETA: 0:00:22 ( 0.11 s/it) accuracy/train: 0.953 loss/train: 0.142     Train Epoch 1: 53%|███████████▋ | ETA: 0:00:22 ( 0.11 s/it) accuracy/train: 0.977 loss/train: 0.101     Train Epoch 1: 54%|███████████▊ | ETA: 0:00:22 ( 0.11 s/it) accuracy/train: 0.93 loss/train: 0.197     Train Epoch 1: 54%|███████████▉ | ETA: 0:00:21 ( 0.11 s/it) accuracy/train: 0.953 loss/train: 0.122     Train Epoch 1: 55%|████████████ | ETA: 0:00:21 ( 0.11 s/it) accuracy/train: 0.953 loss/train: 0.127     Train Epoch 1: 55%|████████████▏ | ETA: 0:00:21 ( 0.11 s/it) accuracy/train: 0.906 loss/train: 0.202     Train Epoch 1: 55%|████████████▎ | ETA: 0:00:20 ( 0.11 s/it) accuracy/train: 0.977 loss/train: 0.0942     Train Epoch 1: 56%|████████████▎ | ETA: 0:00:20 ( 0.11 s/it) accuracy/train: 0.938 loss/train: 0.275     Train Epoch 1: 56%|████████████▍ | ETA: 0:00:20 ( 0.11 s/it) accuracy/train: 0.961 loss/train: 0.142     Train Epoch 1: 57%|████████████▌ | ETA: 0:00:19 ( 0.11 s/it) accuracy/train: 0.914 loss/train: 0.241     Train Epoch 1: 58%|████████████▋ | ETA: 0:00:19 ( 0.11 s/it) accuracy/train: 0.938 loss/train: 0.204     Train Epoch 1: 58%|████████████▉ | ETA: 0:00:19 ( 0.11 s/it) accuracy/train: 0.984 loss/train: 0.081     Train Epoch 1: 59%|█████████████ | ETA: 0:00:18 ( 0.11 s/it) accuracy/train: 0.953 loss/train: 0.242     Train Epoch 1: 60%|█████████████▏ | ETA: 0:00:18 ( 0.11 s/it) accuracy/train: 0.922 loss/train: 0.277     Train Epoch 1: 60%|█████████████▎ | ETA: 0:00:17 ( 0.11 s/it) accuracy/train: 0.938 loss/train: 0.218     Train Epoch 1: 61%|█████████████▍ | ETA: 0:00:17 ( 0.11 s/it) accuracy/train: 0.969 loss/train: 0.0809     Train Epoch 1: 61%|█████████████▌ | ETA: 0:00:17 ( 0.11 s/it) accuracy/train: 0.969 loss/train: 0.0727     Train Epoch 1: 62%|█████████████▋ | ETA: 0:00:16 ( 0.10 s/it) accuracy/train: 0.953 loss/train: 0.212     Train Epoch 1: 63%|█████████████▊ | ETA: 0:00:16 ( 0.10 s/it) accuracy/train: 0.977 loss/train: 0.1     Train Epoch 1: 63%|█████████████▉ | ETA: 0:00:16 ( 0.10 s/it) accuracy/train: 0.945 loss/train: 0.221     Train Epoch 1: 64%|██████████████ | ETA: 0:00:15 ( 0.10 s/it) accuracy/train: 0.938 loss/train: 0.256     Train Epoch 1: 64%|██████████████▏ | ETA: 0:00:15 ( 0.10 s/it) accuracy/train: 0.961 loss/train: 0.111     Train Epoch 1: 64%|██████████████▏ | ETA: 0:00:15 ( 0.10 s/it) accuracy/train: 0.906 loss/train: 0.327     Train Epoch 1: 65%|██████████████▎ | ETA: 0:00:15 ( 0.10 s/it) accuracy/train: 0.945 loss/train: 0.137     Train Epoch 1: 65%|██████████████▍ | ETA: 0:00:14 ( 0.10 s/it) accuracy/train: 0.984 loss/train: 0.0793     Train Epoch 1: 66%|██████████████▌ | ETA: 0:00:14 ( 0.10 s/it) accuracy/train: 0.992 loss/train: 0.0534     Train Epoch 1: 66%|██████████████▋ | ETA: 0:00:14 ( 0.10 s/it) accuracy/train: 0.93 loss/train: 0.153     Train Epoch 1: 67%|██████████████▊ | ETA: 0:00:14 ( 0.10 s/it) accuracy/train: 0.953 loss/train: 0.1     Train Epoch 1: 67%|██████████████▊ | ETA: 0:00:13 ( 0.10 s/it) accuracy/train: 0.922 loss/train: 0.232     Train Epoch 1: 68%|██████████████▉ | ETA: 0:00:13 ( 0.10 s/it) accuracy/train: 0.977 loss/train: 0.0973     Train Epoch 1: 68%|███████████████▏ | ETA: 0:00:13 ( 0.10 s/it) accuracy/train: 0.922 loss/train: 0.179     Train Epoch 1: 69%|███████████████▏ | ETA: 0:00:13 ( 0.10 s/it) accuracy/train: 0.922 loss/train: 0.188     Train Epoch 1: 69%|███████████████▎ | ETA: 0:00:12 ( 0.10 s/it) accuracy/train: 0.953 loss/train: 0.204     Train Epoch 1: 70%|███████████████▍ | ETA: 0:00:12 (99.22 ms/it) accuracy/train: 0.938 loss/train: 0.255     Train Epoch 1: 70%|███████████████▌ | ETA: 0:00:12 (98.91 ms/it) accuracy/train: 0.961 loss/train: 0.11     Train Epoch 1: 71%|███████████████▋ | ETA: 0:00:12 (98.44 ms/it) accuracy/train: 0.969 loss/train: 0.096     Train Epoch 1: 72%|███████████████▊ | ETA: 0:00:11 (97.96 ms/it) accuracy/train: 0.984 loss/train: 0.0673     Train Epoch 1: 73%|████████████████ | ETA: 0:00:11 (97.51 ms/it) accuracy/train: 0.945 loss/train: 0.173     Train Epoch 1: 73%|████████████████ | ETA: 0:00:11 (97.33 ms/it) accuracy/train: 0.938 loss/train: 0.328     Train Epoch 1: 73%|████████████████▏ | ETA: 0:00:10 (97.10 ms/it) accuracy/train: 0.922 loss/train: 0.212     Train Epoch 1: 74%|████████████████▎ | ETA: 0:00:10 (96.80 ms/it) accuracy/train: 0.938 loss/train: 0.176     Train Epoch 1: 75%|████████████████▍ | ETA: 0:00:10 (96.36 ms/it) accuracy/train: 0.953 loss/train: 0.113     Train Epoch 1: 75%|████████████████▌ | ETA: 0:00:10 (96.08 ms/it) accuracy/train: 0.93 loss/train: 0.208     Train Epoch 1: 76%|████████████████▋ | ETA: 0:00:09 (95.79 ms/it) accuracy/train: 0.961 loss/train: 0.106     Train Epoch 1: 76%|████████████████▊ | ETA: 0:00:09 (95.53 ms/it) accuracy/train: 0.953 loss/train: 0.108     Train Epoch 1: 77%|████████████████▉ | ETA: 0:00:09 (95.11 ms/it) accuracy/train: 0.922 loss/train: 0.293     Train Epoch 1: 77%|█████████████████ | ETA: 0:00:09 (94.84 ms/it) accuracy/train: 0.953 loss/train: 0.154     Train Epoch 1: 78%|█████████████████▏ | ETA: 0:00:08 (94.43 ms/it) accuracy/train: 0.969 loss/train: 0.0893     Train Epoch 1: 78%|█████████████████▎ | ETA: 0:00:08 (94.18 ms/it) accuracy/train: 0.922 loss/train: 0.239     Train Epoch 1: 79%|█████████████████▍ | ETA: 0:00:08 (93.79 ms/it) accuracy/train: 0.961 loss/train: 0.167     Train Epoch 1: 80%|█████████████████▋ | ETA: 0:00:07 (93.40 ms/it) accuracy/train: 0.953 loss/train: 0.124     Train Epoch 1: 81%|█████████████████▊ | ETA: 0:00:07 (93.02 ms/it) accuracy/train: 0.953 loss/train: 0.204     Train Epoch 1: 81%|█████████████████▉ | ETA: 0:00:07 (92.80 ms/it) accuracy/train: 0.953 loss/train: 0.153     Train Epoch 1: 82%|██████████████████ | ETA: 0:00:07 (92.43 ms/it) accuracy/train: 0.906 loss/train: 0.221     Train Epoch 1: 82%|██████████████████▏ | ETA: 0:00:06 (92.19 ms/it) accuracy/train: 0.961 loss/train: 0.154     Train Epoch 1: 83%|██████████████████▎ | ETA: 0:00:06 (91.98 ms/it) accuracy/train: 0.93 loss/train: 0.172     Train Epoch 1: 83%|██████████████████▎ | ETA: 0:00:06 (92.24 ms/it) accuracy/train: 0.961 loss/train: 0.222     Train Epoch 1: 84%|██████████████████▍ | ETA: 0:00:06 (92.03 ms/it) accuracy/train: 0.977 loss/train: 0.0986     Train Epoch 1: 84%|██████████████████▌ | ETA: 0:00:06 (91.82 ms/it) accuracy/train: 0.945 loss/train: 0.137     Train Epoch 1: 85%|██████████████████▋ | ETA: 0:00:05 (91.61 ms/it) accuracy/train: 0.961 loss/train: 0.0969     Train Epoch 1: 85%|██████████████████▊ | ETA: 0:00:05 (91.42 ms/it) accuracy/train: 0.961 loss/train: 0.121     Train Epoch 1: 86%|██████████████████▉ | ETA: 0:00:05 (94.42 ms/it) accuracy/train: 0.977 loss/train: 0.0889     Train Epoch 1: 86%|██████████████████▉ | ETA: 0:00:05 (94.18 ms/it) accuracy/train: 0.953 loss/train: 0.154     Train Epoch 1: 86%|███████████████████ | ETA: 0:00:05 (93.95 ms/it) accuracy/train: 0.953 loss/train: 0.14     Train Epoch 1: 87%|███████████████████▏ | ETA: 0:00:05 (93.59 ms/it) accuracy/train: 0.961 loss/train: 0.139     Train Epoch 1: 88%|███████████████████▍ | ETA: 0:00:04 (93.24 ms/it) accuracy/train: 0.961 loss/train: 0.0914     Train Epoch 1: 88%|███████████████████▌ | ETA: 0:00:04 (93.03 ms/it) accuracy/train: 0.969 loss/train: 0.0954     Train Epoch 1: 89%|███████████████████▌ | ETA: 0:00:04 (92.83 ms/it) accuracy/train: 0.953 loss/train: 0.139     Train Epoch 1: 89%|███████████████████▋ | ETA: 0:00:04 (92.63 ms/it) accuracy/train: 0.969 loss/train: 0.0897     Train Epoch 1: 90%|███████████████████▊ | ETA: 0:00:03 (92.44 ms/it) accuracy/train: 0.93 loss/train: 0.17     Train Epoch 1: 90%|███████████████████▉ | ETA: 0:00:03 (92.26 ms/it) accuracy/train: 0.969 loss/train: 0.0745     Train Epoch 1: 91%|████████████████████ | ETA: 0:00:03 (92.07 ms/it) accuracy/train: 0.977 loss/train: 0.132     Train Epoch 1: 91%|████████████████████▏ | ETA: 0:00:03 (91.88 ms/it) accuracy/train: 0.961 loss/train: 0.105     Train Epoch 1: 92%|████████████████████▏ | ETA: 0:00:03 (91.70 ms/it) accuracy/train: 0.922 loss/train: 0.296     Train Epoch 1: 92%|████████████████████▎ | ETA: 0:00:03 (91.51 ms/it) accuracy/train: 0.93 loss/train: 0.184     Train Epoch 1: 93%|████████████████████▍ | ETA: 0:00:02 (91.34 ms/it) accuracy/train: 0.969 loss/train: 0.109     Train Epoch 1: 93%|████████████████████▌ | ETA: 0:00:02 (91.16 ms/it) accuracy/train: 0.938 loss/train: 0.226     Train Epoch 1: 94%|████████████████████▋ | ETA: 0:00:02 (90.98 ms/it) accuracy/train: 0.961 loss/train: 0.239     Train Epoch 1: 94%|████████████████████▊ | ETA: 0:00:02 (90.80 ms/it) accuracy/train: 0.969 loss/train: 0.0834     Train Epoch 1: 95%|████████████████████▊ | ETA: 0:00:02 (90.63 ms/it) accuracy/train: 0.969 loss/train: 0.0863     Train Epoch 1: 95%|████████████████████▉ | ETA: 0:00:01 (90.45 ms/it) accuracy/train: 0.953 loss/train: 0.151     Train Epoch 1: 95%|█████████████████████ | ETA: 0:00:01 (90.28 ms/it) accuracy/train: 0.961 loss/train: 0.196     Train Epoch 1: 96%|█████████████████████▏| ETA: 0:00:01 (90.12 ms/it) accuracy/train: 0.977 loss/train: 0.0641     Train Epoch 1: 96%|█████████████████████▎| ETA: 0:00:01 (89.95 ms/it) accuracy/train: 0.977 loss/train: 0.0771     Train Epoch 1: 97%|█████████████████████▍| ETA: 0:00:01 (89.78 ms/it) accuracy/train: 0.945 loss/train: 0.216     Train Epoch 1: 97%|█████████████████████▍| ETA: 0:00:00 (89.62 ms/it) accuracy/train: 0.953 loss/train: 0.179     Train Epoch 1: 98%|█████████████████████▌| ETA: 0:00:00 (89.45 ms/it) accuracy/train: 0.961 loss/train: 0.0656     Train Epoch 1: 98%|█████████████████████▋| ETA: 0:00:00 (89.30 ms/it) accuracy/train: 0.961 loss/train: 0.104     Train Epoch 1: 99%|█████████████████████▊| ETA: 0:00:00 (89.02 ms/it) accuracy/train: 0.945 loss/train: 0.186     Train Epoch 1: 100%|█████████████████████▉| ETA: 0:00:00 (88.85 ms/it) accuracy/train: 0.961 loss/train: 0.13     Train Epoch 1: 100%|██████████████████████| Time: 0:00:37 (88.68 ms/it) accuracy/train: 0.955 loss/train: 0.142   Val Epoch 1: 28%|██████▋ | ETA: 0:00:00 ( 8.12 ms/it) accuracy/val: 0.969 loss/val: 0.0887        Val Epoch 1: 62%|██████████████▊ | ETA: 0:00:00 ( 7.29 ms/it) accuracy/val: 0.964 loss/val: 0.109        Val Epoch 1: 94%|██████████████████████▌ | ETA: 0:00:00 ( 7.14 ms/it) accuracy/val: 0.968 loss/val: 0.104        Val Epoch 1: 100%|████████████████████████| Time: 0:00:00 ( 7.15 ms/it) accuracy/val: 0.968 loss/val: 0.102      Train Epoch 2: 0%|▏ | ETA: 0:00:25 (60.52 ms/it) accuracy/train: 0.961 loss/train: 0.11     Train Epoch 2: 1%|▎ | ETA: 0:00:25 (59.81 ms/it) accuracy/train: 0.977 loss/train: 0.116     Train Epoch 2: 1%|▍ | ETA: 0:00:24 (59.36 ms/it) accuracy/train: 0.945 loss/train: 0.11     Train Epoch 2: 2%|▍ | ETA: 0:00:24 (59.21 ms/it) accuracy/train: 0.969 loss/train: 0.147     Train Epoch 2: 2%|▌ | ETA: 0:00:28 (69.93 ms/it) accuracy/train: 0.961 loss/train: 0.109     Train Epoch 2: 3%|▋ | ETA: 0:00:27 (66.81 ms/it) accuracy/train: 0.992 loss/train: 0.0269     Train Epoch 2: 3%|▊ | ETA: 0:00:26 (64.91 ms/it) accuracy/train: 0.969 loss/train: 0.0858     Train Epoch 2: 4%|▉ | ETA: 0:00:25 (63.38 ms/it) accuracy/train: 0.984 loss/train: 0.0881     Train Epoch 2: 4%|█ | ETA: 0:00:25 (62.24 ms/it) accuracy/train: 0.961 loss/train: 0.0834     Train Epoch 2: 5%|█ | ETA: 0:00:24 (61.22 ms/it) accuracy/train: 0.969 loss/train: 0.0687     Train Epoch 2: 5%|█▏ | ETA: 0:00:24 (60.92 ms/it) accuracy/train: 0.961 loss/train: 0.243     Train Epoch 2: 6%|█▎ | ETA: 0:00:24 (61.38 ms/it) accuracy/train: 0.969 loss/train: 0.109     Train Epoch 2: 6%|█▍ | ETA: 0:00:24 (61.85 ms/it) accuracy/train: 0.977 loss/train: 0.0537     Train Epoch 2: 7%|█▌ | ETA: 0:00:24 (61.19 ms/it) accuracy/train: 0.977 loss/train: 0.13     Train Epoch 2: 7%|█▋ | ETA: 0:00:23 (60.55 ms/it) accuracy/train: 0.945 loss/train: 0.13     Train Epoch 2: 8%|█▊ | ETA: 0:00:23 (59.58 ms/it) accuracy/train: 0.953 loss/train: 0.171     Train Epoch 2: 9%|█▉ | ETA: 0:00:22 (58.70 ms/it) accuracy/train: 0.977 loss/train: 0.0753     Train Epoch 2: 9%|██ | ETA: 0:00:22 (57.99 ms/it) accuracy/train: 0.977 loss/train: 0.0913     Train Epoch 2: 10%|██▏ | ETA: 0:00:22 (57.84 ms/it) accuracy/train: 0.977 loss/train: 0.0573     Train Epoch 2: 10%|██▎ | ETA: 0:00:21 (57.56 ms/it) accuracy/train: 0.969 loss/train: 0.121     Train Epoch 2: 11%|██▍ | ETA: 0:00:21 (57.24 ms/it) accuracy/train: 0.969 loss/train: 0.0819     Train Epoch 2: 11%|██▌ | ETA: 0:00:21 (56.78 ms/it) accuracy/train: 0.984 loss/train: 0.0535     Train Epoch 2: 12%|██▋ | ETA: 0:00:20 (56.41 ms/it) accuracy/train: 0.984 loss/train: 0.0407     Train Epoch 2: 13%|██▊ | ETA: 0:00:20 (56.37 ms/it) accuracy/train: 0.922 loss/train: 0.154     Train Epoch 2: 13%|██▉ | ETA: 0:00:20 (56.21 ms/it) accuracy/train: 0.961 loss/train: 0.111     Train Epoch 2: 14%|███ | ETA: 0:00:20 (56.03 ms/it) accuracy/train: 0.953 loss/train: 0.12     Train Epoch 2: 14%|███▏ | ETA: 0:00:20 (56.00 ms/it) accuracy/train: 0.969 loss/train: 0.128     Train Epoch 2: 14%|███▏ | ETA: 0:00:20 (56.06 ms/it) accuracy/train: 0.977 loss/train: 0.0772     Train Epoch 2: 15%|███▎ | ETA: 0:00:20 (56.12 ms/it) accuracy/train: 0.984 loss/train: 0.0699     Train Epoch 2: 15%|███▍ | ETA: 0:00:20 (56.10 ms/it) accuracy/train: 0.969 loss/train: 0.112     Train Epoch 2: 16%|███▌ | ETA: 0:00:19 (56.00 ms/it) accuracy/train: 0.984 loss/train: 0.0855     Train Epoch 2: 16%|███▋ | ETA: 0:00:19 (55.93 ms/it) accuracy/train: 0.969 loss/train: 0.123     Train Epoch 2: 17%|███▊ | ETA: 0:00:19 (55.90 ms/it) accuracy/train: 0.977 loss/train: 0.0555     Train Epoch 2: 17%|███▊ | ETA: 0:00:19 (55.90 ms/it) accuracy/train: 0.969 loss/train: 0.114     Train Epoch 2: 18%|███▉ | ETA: 0:00:19 (56.05 ms/it) accuracy/train: 0.961 loss/train: 0.13     Train Epoch 2: 18%|████ | ETA: 0:00:19 (55.97 ms/it) accuracy/train: 0.961 loss/train: 0.164     Train Epoch 2: 19%|████▏ | ETA: 0:00:19 (55.93 ms/it) accuracy/train: 0.953 loss/train: 0.183     Train Epoch 2: 19%|████▎ | ETA: 0:00:19 (55.89 ms/it) accuracy/train: 0.969 loss/train: 0.091     Train Epoch 2: 20%|████▍ | ETA: 0:00:18 (55.88 ms/it) accuracy/train: 0.977 loss/train: 0.0872     Train Epoch 2: 20%|████▍ | ETA: 0:00:18 (55.81 ms/it) accuracy/train: 0.953 loss/train: 0.147     Train Epoch 2: 21%|████▌ | ETA: 0:00:18 (55.73 ms/it) accuracy/train: 0.953 loss/train: 0.205     Train Epoch 2: 21%|████▊ | ETA: 0:00:18 (55.56 ms/it) accuracy/train: 0.945 loss/train: 0.169     Train Epoch 2: 22%|████▊ | ETA: 0:00:18 (55.49 ms/it) accuracy/train: 0.969 loss/train: 0.118     Train Epoch 2: 22%|████▉ | ETA: 0:00:18 (55.51 ms/it) accuracy/train: 0.984 loss/train: 0.0572     Train Epoch 2: 23%|█████ | ETA: 0:00:18 (55.50 ms/it) accuracy/train: 0.93 loss/train: 0.2     Train Epoch 2: 23%|█████▏ | ETA: 0:00:17 (55.46 ms/it) accuracy/train: 0.953 loss/train: 0.0901     Train Epoch 2: 24%|█████▎ | ETA: 0:00:17 (55.37 ms/it) accuracy/train: 0.945 loss/train: 0.189     Train Epoch 2: 24%|█████▍ | ETA: 0:00:17 (55.35 ms/it) accuracy/train: 0.945 loss/train: 0.213     Train Epoch 2: 25%|█████▍ | ETA: 0:00:17 (55.26 ms/it) accuracy/train: 0.945 loss/train: 0.0936     Train Epoch 2: 25%|█████▌ | ETA: 0:00:17 (55.21 ms/it) accuracy/train: 0.953 loss/train: 0.168     Train Epoch 2: 26%|█████▋ | ETA: 0:00:17 (55.14 ms/it) accuracy/train: 0.984 loss/train: 0.0621     Train Epoch 2: 26%|█████▊ | ETA: 0:00:17 (55.27 ms/it) accuracy/train: 0.953 loss/train: 0.145     Train Epoch 2: 27%|█████▉ | ETA: 0:00:17 (55.49 ms/it) accuracy/train: 0.945 loss/train: 0.146     Train Epoch 2: 27%|██████ | ETA: 0:00:17 (55.73 ms/it) accuracy/train: 0.961 loss/train: 0.194     Train Epoch 2: 27%|██████ | ETA: 0:00:17 (55.90 ms/it) accuracy/train: 0.969 loss/train: 0.0903     Train Epoch 2: 28%|██████▏ | ETA: 0:00:17 (56.07 ms/it) accuracy/train: 0.961 loss/train: 0.232     Train Epoch 2: 28%|██████▎ | ETA: 0:00:16 (56.26 ms/it) accuracy/train: 0.961 loss/train: 0.181     Train Epoch 2: 29%|██████▍ | ETA: 0:00:16 (56.05 ms/it) accuracy/train: 0.953 loss/train: 0.116     Train Epoch 2: 30%|██████▋ | ETA: 0:00:16 (55.58 ms/it) accuracy/train: 0.984 loss/train: 0.0597     Train Epoch 2: 31%|██████▊ | ETA: 0:00:16 (55.13 ms/it) accuracy/train: 0.992 loss/train: 0.0592     Train Epoch 2: 31%|██████▉ | ETA: 0:00:15 (54.69 ms/it) accuracy/train: 0.992 loss/train: 0.0384     Train Epoch 2: 32%|███████ | ETA: 0:00:15 (54.30 ms/it) accuracy/train: 0.969 loss/train: 0.172     Train Epoch 2: 33%|███████▎ | ETA: 0:00:15 (54.05 ms/it) accuracy/train: 0.984 loss/train: 0.0422     Train Epoch 2: 33%|███████▎ | ETA: 0:00:15 (54.03 ms/it) accuracy/train: 0.969 loss/train: 0.128     Train Epoch 2: 34%|███████▍ | ETA: 0:00:15 (53.98 ms/it) accuracy/train: 1.0 loss/train: 0.018     Train Epoch 2: 34%|███████▌ | ETA: 0:00:15 (53.97 ms/it) accuracy/train: 0.953 loss/train: 0.161     Train Epoch 2: 35%|███████▋ | ETA: 0:00:14 (53.86 ms/it) accuracy/train: 0.93 loss/train: 0.244     Train Epoch 2: 36%|███████▉ | ETA: 0:00:14 (53.76 ms/it) accuracy/train: 0.977 loss/train: 0.0549     Train Epoch 2: 36%|███████▉ | ETA: 0:00:14 (53.73 ms/it) accuracy/train: 0.938 loss/train: 0.197     Train Epoch 2: 36%|████████ | ETA: 0:00:14 (53.70 ms/it) accuracy/train: 0.945 loss/train: 0.228     Train Epoch 2: 37%|████████▏ | ETA: 0:00:14 (53.80 ms/it) accuracy/train: 0.93 loss/train: 0.312     Train Epoch 2: 37%|████████▎ | ETA: 0:00:14 (53.99 ms/it) accuracy/train: 0.922 loss/train: 0.166     Train Epoch 2: 38%|████████▍ | ETA: 0:00:14 (53.92 ms/it) accuracy/train: 0.93 loss/train: 0.198     Train Epoch 2: 39%|████████▌ | ETA: 0:00:13 (53.89 ms/it) accuracy/train: 0.938 loss/train: 0.178     Train Epoch 2: 39%|████████▋ | ETA: 0:00:13 (53.96 ms/it) accuracy/train: 0.961 loss/train: 0.131     Train Epoch 2: 40%|████████▊ | ETA: 0:00:13 (53.89 ms/it) accuracy/train: 0.969 loss/train: 0.0959     Train Epoch 2: 41%|████████▉ | ETA: 0:00:13 (53.81 ms/it) accuracy/train: 0.961 loss/train: 0.191     Train Epoch 2: 41%|█████████▏ | ETA: 0:00:13 (53.86 ms/it) accuracy/train: 0.953 loss/train: 0.146     Train Epoch 2: 42%|█████████▏ | ETA: 0:00:13 (53.84 ms/it) accuracy/train: 0.945 loss/train: 0.175     Train Epoch 2: 42%|█████████▍ | ETA: 0:00:13 (53.77 ms/it) accuracy/train: 0.961 loss/train: 0.0738     Train Epoch 2: 43%|█████████▌ | ETA: 0:00:12 (53.70 ms/it) accuracy/train: 0.961 loss/train: 0.112     Train Epoch 2: 44%|█████████▋ | ETA: 0:00:12 (53.69 ms/it) accuracy/train: 0.961 loss/train: 0.13     Train Epoch 2: 44%|█████████▊ | ETA: 0:00:12 (53.65 ms/it) accuracy/train: 0.953 loss/train: 0.164     Train Epoch 2: 45%|█████████▊ | ETA: 0:00:12 (53.64 ms/it) accuracy/train: 0.961 loss/train: 0.0614     Train Epoch 2: 45%|██████████ | ETA: 0:00:12 (53.58 ms/it) accuracy/train: 0.953 loss/train: 0.173     Train Epoch 2: 46%|██████████▏ | ETA: 0:00:12 (53.55 ms/it) accuracy/train: 0.969 loss/train: 0.0925     Train Epoch 2: 46%|██████████▎ | ETA: 0:00:12 (53.54 ms/it) accuracy/train: 0.992 loss/train: 0.0611     Train Epoch 2: 47%|██████████▍ | ETA: 0:00:11 (53.53 ms/it) accuracy/train: 0.984 loss/train: 0.0564     Train Epoch 2: 47%|██████████▍ | ETA: 0:00:11 (53.53 ms/it) accuracy/train: 0.977 loss/train: 0.0629     Train Epoch 2: 48%|██████████▌ | ETA: 0:00:11 (53.54 ms/it) accuracy/train: 0.992 loss/train: 0.0241     Train Epoch 2: 48%|██████████▋ | ETA: 0:00:11 (53.57 ms/it) accuracy/train: 0.961 loss/train: 0.142     Train Epoch 2: 49%|██████████▊ | ETA: 0:00:11 (53.58 ms/it) accuracy/train: 0.984 loss/train: 0.0553     Train Epoch 2: 49%|██████████▉ | ETA: 0:00:11 (53.58 ms/it) accuracy/train: 0.93 loss/train: 0.151     Train Epoch 2: 50%|███████████ | ETA: 0:00:11 (53.56 ms/it) accuracy/train: 0.961 loss/train: 0.146     Train Epoch 2: 50%|███████████ | ETA: 0:00:11 (53.58 ms/it) accuracy/train: 0.938 loss/train: 0.21     Train Epoch 2: 51%|███████████▏ | ETA: 0:00:11 (53.62 ms/it) accuracy/train: 0.977 loss/train: 0.0568     Train Epoch 2: 51%|███████████▎ | ETA: 0:00:11 (53.64 ms/it) accuracy/train: 0.953 loss/train: 0.0865     Train Epoch 2: 52%|███████████▍ | ETA: 0:00:10 (53.65 ms/it) accuracy/train: 0.953 loss/train: 0.125     Train Epoch 2: 52%|███████████▌ | ETA: 0:00:10 (53.66 ms/it) accuracy/train: 0.953 loss/train: 0.117     Train Epoch 2: 53%|███████████▋ | ETA: 0:00:10 (53.71 ms/it) accuracy/train: 0.961 loss/train: 0.159     Train Epoch 2: 53%|███████████▋ | ETA: 0:00:10 (53.73 ms/it) accuracy/train: 0.938 loss/train: 0.284     Train Epoch 2: 54%|███████████▊ | ETA: 0:00:10 (53.72 ms/it) accuracy/train: 0.953 loss/train: 0.152     Train Epoch 2: 54%|███████████▉ | ETA: 0:00:10 (53.72 ms/it) accuracy/train: 0.977 loss/train: 0.0713     Train Epoch 2: 55%|████████████ | ETA: 0:00:10 (53.74 ms/it) accuracy/train: 0.992 loss/train: 0.0309     Train Epoch 2: 55%|████████████▏ | ETA: 0:00:10 (53.70 ms/it) accuracy/train: 0.969 loss/train: 0.131     Train Epoch 2: 56%|████████████▎ | ETA: 0:00:10 (53.74 ms/it) accuracy/train: 0.977 loss/train: 0.0547     Train Epoch 2: 56%|████████████▍ | ETA: 0:00:09 (53.69 ms/it) accuracy/train: 0.922 loss/train: 0.304     Train Epoch 2: 57%|████████████▌ | ETA: 0:00:09 (53.70 ms/it) accuracy/train: 0.969 loss/train: 0.183     Train Epoch 2: 57%|████████████▋ | ETA: 0:00:09 (53.68 ms/it) accuracy/train: 0.953 loss/train: 0.115     Train Epoch 2: 58%|████████████▊ | ETA: 0:00:09 (53.66 ms/it) accuracy/train: 0.961 loss/train: 0.212     Train Epoch 2: 58%|████████████▉ | ETA: 0:00:09 (53.65 ms/it) accuracy/train: 0.984 loss/train: 0.0561     Train Epoch 2: 59%|█████████████ | ETA: 0:00:09 (53.60 ms/it) accuracy/train: 0.984 loss/train: 0.0443     Train Epoch 2: 59%|█████████████▏ | ETA: 0:00:09 (53.59 ms/it) accuracy/train: 0.961 loss/train: 0.0744     Train Epoch 2: 60%|█████████████▎ | ETA: 0:00:09 (53.68 ms/it) accuracy/train: 0.953 loss/train: 0.12     Train Epoch 2: 60%|█████████████▎ | ETA: 0:00:08 (53.68 ms/it) accuracy/train: 0.961 loss/train: 0.098     Train Epoch 2: 61%|█████████████▍ | ETA: 0:00:08 (53.68 ms/it) accuracy/train: 0.961 loss/train: 0.102     Train Epoch 2: 62%|█████████████▌ | ETA: 0:00:08 (53.66 ms/it) accuracy/train: 0.969 loss/train: 0.109     Train Epoch 2: 62%|█████████████▋ | ETA: 0:00:08 (53.67 ms/it) accuracy/train: 0.969 loss/train: 0.0931     Train Epoch 2: 63%|█████████████▊ | ETA: 0:00:08 (53.68 ms/it) accuracy/train: 0.945 loss/train: 0.174     Train Epoch 2: 63%|█████████████▉ | ETA: 0:00:08 (53.70 ms/it) accuracy/train: 0.977 loss/train: 0.0567     Train Epoch 2: 64%|██████████████ | ETA: 0:00:08 (53.71 ms/it) accuracy/train: 1.0 loss/train: 0.026     Train Epoch 2: 64%|██████████████▏ | ETA: 0:00:08 (53.73 ms/it) accuracy/train: 0.969 loss/train: 0.129     Train Epoch 2: 64%|██████████████▏ | ETA: 0:00:08 (53.70 ms/it) accuracy/train: 0.945 loss/train: 0.106     Train Epoch 2: 65%|██████████████▎ | ETA: 0:00:07 (53.68 ms/it) accuracy/train: 0.977 loss/train: 0.15     Train Epoch 2: 65%|██████████████▍ | ETA: 0:00:07 (53.67 ms/it) accuracy/train: 0.969 loss/train: 0.224     Train Epoch 2: 66%|██████████████▌ | ETA: 0:00:07 (53.67 ms/it) accuracy/train: 0.977 loss/train: 0.0581     Train Epoch 2: 66%|██████████████▋ | ETA: 0:00:07 (53.68 ms/it) accuracy/train: 0.977 loss/train: 0.0643     Train Epoch 2: 67%|██████████████▊ | ETA: 0:00:07 (53.70 ms/it) accuracy/train: 0.969 loss/train: 0.157     Train Epoch 2: 67%|██████████████▊ | ETA: 0:00:07 (53.69 ms/it) accuracy/train: 0.969 loss/train: 0.114     Train Epoch 2: 68%|██████████████▉ | ETA: 0:00:07 (53.68 ms/it) accuracy/train: 0.938 loss/train: 0.113     Train Epoch 2: 68%|███████████████ | ETA: 0:00:07 (53.69 ms/it) accuracy/train: 0.977 loss/train: 0.0658     Train Epoch 2: 69%|███████████████▏ | ETA: 0:00:07 (53.68 ms/it) accuracy/train: 0.953 loss/train: 0.125     Train Epoch 2: 69%|███████████████▎ | ETA: 0:00:06 (53.69 ms/it) accuracy/train: 0.945 loss/train: 0.148     Train Epoch 2: 70%|███████████████▍ | ETA: 0:00:06 (53.68 ms/it) accuracy/train: 0.961 loss/train: 0.184     Train Epoch 2: 70%|███████████████▍ | ETA: 0:00:06 (53.68 ms/it) accuracy/train: 0.977 loss/train: 0.0766     Train Epoch 2: 71%|███████████████▌ | ETA: 0:00:06 (53.68 ms/it) accuracy/train: 0.961 loss/train: 0.105     Train Epoch 2: 71%|███████████████▋ | ETA: 0:00:06 (53.70 ms/it) accuracy/train: 0.945 loss/train: 0.203     Train Epoch 2: 72%|███████████████▊ | ETA: 0:00:06 (53.70 ms/it) accuracy/train: 0.953 loss/train: 0.171     Train Epoch 2: 72%|███████████████▉ | ETA: 0:00:06 (53.71 ms/it) accuracy/train: 0.945 loss/train: 0.14     Train Epoch 2: 73%|████████████████ | ETA: 0:00:06 (53.78 ms/it) accuracy/train: 0.984 loss/train: 0.0487     Train Epoch 2: 73%|████████████████ | ETA: 0:00:06 (53.89 ms/it) accuracy/train: 0.953 loss/train: 0.114     Train Epoch 2: 73%|████████████████▏ | ETA: 0:00:06 (53.88 ms/it) accuracy/train: 0.969 loss/train: 0.112     Train Epoch 2: 74%|████████████████▎ | ETA: 0:00:05 (53.87 ms/it) accuracy/train: 0.977 loss/train: 0.0904     Train Epoch 2: 74%|████████████████▍ | ETA: 0:00:05 (53.87 ms/it) accuracy/train: 0.961 loss/train: 0.232     Train Epoch 2: 75%|████████████████▌ | ETA: 0:00:05 (53.89 ms/it) accuracy/train: 0.961 loss/train: 0.169     Train Epoch 2: 75%|████████████████▋ | ETA: 0:00:05 (53.91 ms/it) accuracy/train: 0.969 loss/train: 0.1     Train Epoch 2: 76%|████████████████▋ | ETA: 0:00:05 (53.93 ms/it) accuracy/train: 0.984 loss/train: 0.0394     Train Epoch 2: 76%|████████████████▊ | ETA: 0:00:05 (53.95 ms/it) accuracy/train: 0.969 loss/train: 0.0646     Train Epoch 2: 77%|████████████████▉ | ETA: 0:00:05 (53.94 ms/it) accuracy/train: 0.969 loss/train: 0.168     Train Epoch 2: 77%|█████████████████ | ETA: 0:00:05 (53.97 ms/it) accuracy/train: 0.977 loss/train: 0.0536     Train Epoch 2: 78%|█████████████████▏ | ETA: 0:00:05 (54.00 ms/it) accuracy/train: 0.961 loss/train: 0.113     Train Epoch 2: 78%|█████████████████▎ | ETA: 0:00:04 (54.02 ms/it) accuracy/train: 1.0 loss/train: 0.0193     Train Epoch 2: 79%|█████████████████▎ | ETA: 0:00:04 (54.08 ms/it) accuracy/train: 0.945 loss/train: 0.186     Train Epoch 2: 79%|█████████████████▍ | ETA: 0:00:04 (54.17 ms/it) accuracy/train: 0.953 loss/train: 0.113     Train Epoch 2: 80%|█████████████████▌ | ETA: 0:00:04 (54.29 ms/it) accuracy/train: 0.977 loss/train: 0.0824     Train Epoch 2: 80%|█████████████████▋ | ETA: 0:00:04 (54.37 ms/it) accuracy/train: 0.969 loss/train: 0.0829     Train Epoch 2: 81%|█████████████████▊ | ETA: 0:00:04 (54.37 ms/it) accuracy/train: 0.953 loss/train: 0.14     Train Epoch 2: 81%|█████████████████▉ | ETA: 0:00:04 (54.38 ms/it) accuracy/train: 0.977 loss/train: 0.0876     Train Epoch 2: 82%|█████████████████▉ | ETA: 0:00:04 (54.40 ms/it) accuracy/train: 0.977 loss/train: 0.0619     Train Epoch 2: 82%|██████████████████ | ETA: 0:00:04 (54.41 ms/it) accuracy/train: 0.961 loss/train: 0.173     Train Epoch 2: 82%|██████████████████▏ | ETA: 0:00:04 (54.41 ms/it) accuracy/train: 0.969 loss/train: 0.177     Train Epoch 2: 83%|██████████████████▎ | ETA: 0:00:03 (54.42 ms/it) accuracy/train: 0.984 loss/train: 0.0566     Train Epoch 2: 83%|██████████████████▍ | ETA: 0:00:03 (54.43 ms/it) accuracy/train: 0.945 loss/train: 0.202     Train Epoch 2: 84%|██████████████████▌ | ETA: 0:00:03 (54.43 ms/it) accuracy/train: 0.953 loss/train: 0.104     Train Epoch 2: 84%|██████████████████▌ | ETA: 0:00:03 (54.46 ms/it) accuracy/train: 0.969 loss/train: 0.0603     Train Epoch 2: 85%|██████████████████▋ | ETA: 0:00:03 (54.48 ms/it) accuracy/train: 0.961 loss/train: 0.204     Train Epoch 2: 85%|██████████████████▊ | ETA: 0:00:03 (54.53 ms/it) accuracy/train: 0.945 loss/train: 0.261     Train Epoch 2: 86%|██████████████████▉ | ETA: 0:00:03 (54.62 ms/it) accuracy/train: 0.984 loss/train: 0.0829     Train Epoch 2: 86%|███████████████████ | ETA: 0:00:03 (54.62 ms/it) accuracy/train: 0.992 loss/train: 0.0382     Train Epoch 2: 87%|███████████████████▏ | ETA: 0:00:03 (54.61 ms/it) accuracy/train: 0.938 loss/train: 0.195     Train Epoch 2: 87%|███████████████████▏ | ETA: 0:00:02 (54.63 ms/it) accuracy/train: 0.969 loss/train: 0.144     Train Epoch 2: 88%|███████████████████▎ | ETA: 0:00:02 (54.66 ms/it) accuracy/train: 0.969 loss/train: 0.0559     Train Epoch 2: 88%|███████████████████▍ | ETA: 0:00:02 (54.65 ms/it) accuracy/train: 0.977 loss/train: 0.065     Train Epoch 2: 89%|███████████████████▌ | ETA: 0:00:02 (54.68 ms/it) accuracy/train: 0.984 loss/train: 0.0588     Train Epoch 2: 89%|███████████████████▋ | ETA: 0:00:02 (54.69 ms/it) accuracy/train: 0.961 loss/train: 0.135     Train Epoch 2: 90%|███████████████████▊ | ETA: 0:00:02 (54.73 ms/it) accuracy/train: 1.0 loss/train: 0.0181     Train Epoch 2: 90%|███████████████████▊ | ETA: 0:00:02 (54.73 ms/it) accuracy/train: 0.969 loss/train: 0.147     Train Epoch 2: 91%|███████████████████▉ | ETA: 0:00:02 (54.73 ms/it) accuracy/train: 0.953 loss/train: 0.133     Train Epoch 2: 91%|████████████████████ | ETA: 0:00:02 (54.74 ms/it) accuracy/train: 0.938 loss/train: 0.194     Train Epoch 2: 91%|████████████████████▏ | ETA: 0:00:01 (54.76 ms/it) accuracy/train: 0.945 loss/train: 0.152     Train Epoch 2: 92%|████████████████████▎ | ETA: 0:00:01 (55.41 ms/it) accuracy/train: 0.969 loss/train: 0.086     Train Epoch 2: 92%|████████████████████▍ | ETA: 0:00:01 (55.43 ms/it) accuracy/train: 0.961 loss/train: 0.125     Train Epoch 2: 93%|████████████████████▍ | ETA: 0:00:01 (55.45 ms/it) accuracy/train: 0.969 loss/train: 0.141     Train Epoch 2: 93%|████████████████████▌ | ETA: 0:00:01 (55.47 ms/it) accuracy/train: 0.984 loss/train: 0.129     Train Epoch 2: 94%|████████████████████▋ | ETA: 0:00:01 (55.48 ms/it) accuracy/train: 0.914 loss/train: 0.186     Train Epoch 2: 94%|████████████████████▊ | ETA: 0:00:01 (58.55 ms/it) accuracy/train: 0.969 loss/train: 0.13     Train Epoch 2: 95%|████████████████████▉ | ETA: 0:00:01 (58.55 ms/it) accuracy/train: 0.969 loss/train: 0.129     Train Epoch 2: 95%|█████████████████████ | ETA: 0:00:01 (58.58 ms/it) accuracy/train: 0.977 loss/train: 0.0417     Train Epoch 2: 96%|█████████████████████ | ETA: 0:00:01 (58.57 ms/it) accuracy/train: 0.953 loss/train: 0.0854     Train Epoch 2: 96%|█████████████████████▏| ETA: 0:00:00 (58.57 ms/it) accuracy/train: 0.977 loss/train: 0.0625     Train Epoch 2: 97%|█████████████████████▎| ETA: 0:00:00 (58.57 ms/it) accuracy/train: 0.984 loss/train: 0.0383     Train Epoch 2: 97%|█████████████████████▍| ETA: 0:00:00 (58.58 ms/it) accuracy/train: 0.961 loss/train: 0.0983     Train Epoch 2: 98%|█████████████████████▌| ETA: 0:00:00 (58.60 ms/it) accuracy/train: 0.961 loss/train: 0.148     Train Epoch 2: 98%|█████████████████████▋| ETA: 0:00:00 (58.68 ms/it) accuracy/train: 0.961 loss/train: 0.182     Train Epoch 2: 99%|█████████████████████▋| ETA: 0:00:00 (58.73 ms/it) accuracy/train: 0.953 loss/train: 0.19     Train Epoch 2: 99%|█████████████████████▊| ETA: 0:00:00 (58.77 ms/it) accuracy/train: 0.953 loss/train: 0.131     Train Epoch 2: 100%|█████████████████████▉| ETA: 0:00:00 (58.79 ms/it) accuracy/train: 0.969 loss/train: 0.152     Train Epoch 2: 100%|██████████████████████| Time: 0:00:24 (58.81 ms/it) accuracy/train: 0.982 loss/train: 0.0517   Val Epoch 2: 30%|███████▏ | ETA: 0:00:00 ( 7.33 ms/it) accuracy/val: 0.963 loss/val: 0.135        Val Epoch 2: 60%|██████████████▎ | ETA: 0:00:00 ( 7.29 ms/it) accuracy/val: 0.966 loss/val: 0.127        Val Epoch 2: 89%|█████████████████████▌ | ETA: 0:00:00 ( 7.28 ms/it) accuracy/val: 0.967 loss/val: 0.116        Val Epoch 2: 100%|████████████████████████| Time: 0:00:00 ( 7.23 ms/it) accuracy/val: 0.967 loss/val: 0.117      Train Epoch 3: 0%|▏ | ETA: 0:00:26 (62.56 ms/it) accuracy/train: 0.969 loss/train: 0.0626     Train Epoch 3: 1%|▎ | ETA: 0:00:26 (62.36 ms/it) accuracy/train: 0.977 loss/train: 0.065     Train Epoch 3: 1%|▍ | ETA: 0:00:25 (62.03 ms/it) accuracy/train: 0.969 loss/train: 0.108     Train Epoch 3: 2%|▍ | ETA: 0:00:25 (62.09 ms/it) accuracy/train: 0.953 loss/train: 0.174     Train Epoch 3: 2%|▌ | ETA: 0:00:25 (61.85 ms/it) accuracy/train: 0.945 loss/train: 0.111     Train Epoch 3: 3%|▋ | ETA: 0:00:25 (62.48 ms/it) accuracy/train: 0.969 loss/train: 0.15     Train Epoch 3: 3%|▊ | ETA: 0:00:25 (62.37 ms/it) accuracy/train: 0.961 loss/train: 0.0899     Train Epoch 3: 4%|▉ | ETA: 0:00:25 (62.30 ms/it) accuracy/train: 0.984 loss/train: 0.0742     Train Epoch 3: 4%|█ | ETA: 0:00:25 (62.47 ms/it) accuracy/train: 0.969 loss/train: 0.0928     Train Epoch 3: 5%|█ | ETA: 0:00:25 (63.84 ms/it) accuracy/train: 0.977 loss/train: 0.0558     Train Epoch 3: 5%|█▏ | ETA: 0:00:25 (64.16 ms/it) accuracy/train: 0.969 loss/train: 0.0994     Train Epoch 3: 6%|█▎ | ETA: 0:00:25 (63.97 ms/it) accuracy/train: 0.992 loss/train: 0.03     Train Epoch 3: 6%|█▍ | ETA: 0:00:25 (63.84 ms/it) accuracy/train: 0.992 loss/train: 0.0219     Train Epoch 3: 7%|█▌ | ETA: 0:00:25 (63.69 ms/it) accuracy/train: 0.984 loss/train: 0.0464     Train Epoch 3: 7%|█▋ | ETA: 0:00:24 (63.49 ms/it) accuracy/train: 0.969 loss/train: 0.0809     Train Epoch 3: 8%|█▋ | ETA: 0:00:24 (63.28 ms/it) accuracy/train: 0.984 loss/train: 0.086     Train Epoch 3: 8%|█▊ | ETA: 0:00:24 (63.18 ms/it) accuracy/train: 0.977 loss/train: 0.0734     Train Epoch 3: 9%|█▉ | ETA: 0:00:24 (63.04 ms/it) accuracy/train: 0.969 loss/train: 0.0554     Train Epoch 3: 9%|██ | ETA: 0:00:24 (62.89 ms/it) accuracy/train: 1.0 loss/train: 0.0142     Train Epoch 3: 9%|██▏ | ETA: 0:00:23 (62.71 ms/it) accuracy/train: 0.984 loss/train: 0.0536     Train Epoch 3: 10%|██▎ | ETA: 0:00:23 (62.52 ms/it) accuracy/train: 0.992 loss/train: 0.0462     Train Epoch 3: 10%|██▎ | ETA: 0:00:23 (62.44 ms/it) accuracy/train: 0.984 loss/train: 0.0657     Train Epoch 3: 11%|██▍ | ETA: 0:00:23 (62.33 ms/it) accuracy/train: 0.984 loss/train: 0.051     Train Epoch 3: 11%|██▌ | ETA: 0:00:23 (62.26 ms/it) accuracy/train: 0.992 loss/train: 0.0211     Train Epoch 3: 12%|██▋ | ETA: 0:00:23 (62.22 ms/it) accuracy/train: 0.984 loss/train: 0.0466     Train Epoch 3: 12%|██▊ | ETA: 0:00:23 (62.17 ms/it) accuracy/train: 1.0 loss/train: 0.0129     Train Epoch 3: 13%|██▉ | ETA: 0:00:22 (62.11 ms/it) accuracy/train: 0.992 loss/train: 0.0276     Train Epoch 3: 13%|██▉ | ETA: 0:00:22 (62.10 ms/it) accuracy/train: 0.977 loss/train: 0.0523     Train Epoch 3: 14%|███ | ETA: 0:00:22 (62.13 ms/it) accuracy/train: 0.977 loss/train: 0.043     Train Epoch 3: 14%|███▏ | ETA: 0:00:22 (62.14 ms/it) accuracy/train: 0.977 loss/train: 0.0673     Train Epoch 3: 15%|███▎ | ETA: 0:00:22 (62.22 ms/it) accuracy/train: 0.992 loss/train: 0.0542     Train Epoch 3: 15%|███▍ | ETA: 0:00:22 (62.21 ms/it) accuracy/train: 0.984 loss/train: 0.0253     Train Epoch 3: 16%|███▌ | ETA: 0:00:22 (62.15 ms/it) accuracy/train: 0.984 loss/train: 0.0626     Train Epoch 3: 16%|███▌ | ETA: 0:00:21 (62.09 ms/it) accuracy/train: 0.984 loss/train: 0.0533     Train Epoch 3: 17%|███▋ | ETA: 0:00:21 (62.00 ms/it) accuracy/train: 0.984 loss/train: 0.0376     Train Epoch 3: 17%|███▊ | ETA: 0:00:21 (61.84 ms/it) accuracy/train: 0.984 loss/train: 0.0355     Train Epoch 3: 18%|███▉ | ETA: 0:00:21 (61.77 ms/it) accuracy/train: 0.984 loss/train: 0.0259     Train Epoch 3: 18%|████ | ETA: 0:00:21 (61.72 ms/it) accuracy/train: 0.977 loss/train: 0.0783     Train Epoch 3: 18%|████▏ | ETA: 0:00:21 (61.56 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 3: 19%|████▏ | ETA: 0:00:21 (61.77 ms/it) accuracy/train: 0.992 loss/train: 0.0406     Train Epoch 3: 19%|████▎ | ETA: 0:00:21 (62.02 ms/it) accuracy/train: 0.984 loss/train: 0.0265     Train Epoch 3: 20%|████▍ | ETA: 0:00:21 (62.25 ms/it) accuracy/train: 0.992 loss/train: 0.0167     Train Epoch 3: 20%|████▌ | ETA: 0:00:20 (62.33 ms/it) accuracy/train: 0.977 loss/train: 0.068     Train Epoch 3: 21%|████▋ | ETA: 0:00:20 (62.16 ms/it) accuracy/train: 0.969 loss/train: 0.0831     Train Epoch 3: 21%|████▊ | ETA: 0:00:20 (62.04 ms/it) accuracy/train: 0.969 loss/train: 0.125     Train Epoch 3: 22%|████▊ | ETA: 0:00:20 (62.05 ms/it) accuracy/train: 0.992 loss/train: 0.0456     Train Epoch 3: 22%|████▉ | ETA: 0:00:20 (62.80 ms/it) accuracy/train: 0.992 loss/train: 0.0251     Train Epoch 3: 23%|█████ | ETA: 0:00:20 (62.68 ms/it) accuracy/train: 0.984 loss/train: 0.0402     Train Epoch 3: 23%|█████▏ | ETA: 0:00:20 (62.51 ms/it) accuracy/train: 0.984 loss/train: 0.0592     Train Epoch 3: 24%|█████▎ | ETA: 0:00:20 (62.43 ms/it) accuracy/train: 0.984 loss/train: 0.0386     Train Epoch 3: 24%|█████▍ | ETA: 0:00:19 (62.40 ms/it) accuracy/train: 0.977 loss/train: 0.0822     Train Epoch 3: 25%|█████▍ | ETA: 0:00:19 (62.53 ms/it) accuracy/train: 0.977 loss/train: 0.0387     Train Epoch 3: 25%|█████▌ | ETA: 0:00:19 (62.66 ms/it) accuracy/train: 1.0 loss/train: 0.0118     Train Epoch 3: 26%|█████▋ | ETA: 0:00:19 (62.61 ms/it) accuracy/train: 0.984 loss/train: 0.0276     Train Epoch 3: 26%|█████▊ | ETA: 0:00:19 (62.54 ms/it) accuracy/train: 0.977 loss/train: 0.0861     Train Epoch 3: 27%|█████▉ | ETA: 0:00:19 (62.43 ms/it) accuracy/train: 0.977 loss/train: 0.113     Train Epoch 3: 27%|██████ | ETA: 0:00:19 (62.33 ms/it) accuracy/train: 0.984 loss/train: 0.0739     Train Epoch 3: 27%|██████ | ETA: 0:00:19 (62.21 ms/it) accuracy/train: 1.0 loss/train: 0.0107     Train Epoch 3: 28%|██████▏ | ETA: 0:00:18 (62.14 ms/it) accuracy/train: 1.0 loss/train: 0.00354     Train Epoch 3: 28%|██████▎ | ETA: 0:00:18 (62.09 ms/it) accuracy/train: 0.984 loss/train: 0.0373     Train Epoch 3: 29%|██████▍ | ETA: 0:00:18 (62.00 ms/it) accuracy/train: 0.984 loss/train: 0.034     Train Epoch 3: 29%|██████▌ | ETA: 0:00:18 (61.91 ms/it) accuracy/train: 0.984 loss/train: 0.0644     Train Epoch 3: 30%|██████▋ | ETA: 0:00:18 (61.82 ms/it) accuracy/train: 0.977 loss/train: 0.0638     Train Epoch 3: 30%|██████▋ | ETA: 0:00:18 (61.83 ms/it) accuracy/train: 0.969 loss/train: 0.091     Train Epoch 3: 31%|██████▊ | ETA: 0:00:18 (61.76 ms/it) accuracy/train: 1.0 loss/train: 0.0124     Train Epoch 3: 31%|██████▉ | ETA: 0:00:17 (61.78 ms/it) accuracy/train: 0.992 loss/train: 0.0354     Train Epoch 3: 32%|███████ | ETA: 0:00:17 (61.91 ms/it) accuracy/train: 0.984 loss/train: 0.0937     Train Epoch 3: 32%|███████▏ | ETA: 0:00:17 (61.96 ms/it) accuracy/train: 0.992 loss/train: 0.0282     Train Epoch 3: 33%|███████▎ | ETA: 0:00:17 (61.88 ms/it) accuracy/train: 0.984 loss/train: 0.0631     Train Epoch 3: 33%|███████▎ | ETA: 0:00:17 (61.82 ms/it) accuracy/train: 0.984 loss/train: 0.0437     Train Epoch 3: 34%|███████▍ | ETA: 0:00:17 (61.79 ms/it) accuracy/train: 0.969 loss/train: 0.0866     Train Epoch 3: 34%|███████▌ | ETA: 0:00:17 (61.72 ms/it) accuracy/train: 0.992 loss/train: 0.0297     Train Epoch 3: 35%|███████▋ | ETA: 0:00:17 (61.66 ms/it) accuracy/train: 0.984 loss/train: 0.0631     Train Epoch 3: 35%|███████▊ | ETA: 0:00:16 (61.59 ms/it) accuracy/train: 0.992 loss/train: 0.0119     Train Epoch 3: 36%|███████▉ | ETA: 0:00:16 (61.57 ms/it) accuracy/train: 0.984 loss/train: 0.0525     Train Epoch 3: 36%|███████▉ | ETA: 0:00:16 (61.52 ms/it) accuracy/train: 0.984 loss/train: 0.0171     Train Epoch 3: 36%|████████ | ETA: 0:00:16 (61.48 ms/it) accuracy/train: 1.0 loss/train: 0.0172     Train Epoch 3: 37%|████████▏ | ETA: 0:00:16 (61.46 ms/it) accuracy/train: 0.992 loss/train: 0.0285     Train Epoch 3: 37%|████████▎ | ETA: 0:00:16 (61.45 ms/it) accuracy/train: 0.992 loss/train: 0.0496     Train Epoch 3: 38%|████████▍ | ETA: 0:00:16 (61.39 ms/it) accuracy/train: 0.992 loss/train: 0.0221     Train Epoch 3: 38%|████████▌ | ETA: 0:00:15 (61.34 ms/it) accuracy/train: 0.984 loss/train: 0.0465     Train Epoch 3: 39%|████████▌ | ETA: 0:00:15 (61.30 ms/it) accuracy/train: 0.984 loss/train: 0.105     Train Epoch 3: 39%|████████▋ | ETA: 0:00:15 (61.36 ms/it) accuracy/train: 0.992 loss/train: 0.0146     Train Epoch 3: 40%|████████▊ | ETA: 0:00:15 (61.29 ms/it) accuracy/train: 0.984 loss/train: 0.0409     Train Epoch 3: 40%|████████▉ | ETA: 0:00:15 (61.27 ms/it) accuracy/train: 0.961 loss/train: 0.13     Train Epoch 3: 41%|█████████ | ETA: 0:00:15 (61.22 ms/it) accuracy/train: 1.0 loss/train: 0.0168     Train Epoch 3: 41%|█████████▏ | ETA: 0:00:15 (61.18 ms/it) accuracy/train: 1.0 loss/train: 0.00411     Train Epoch 3: 42%|█████████▏ | ETA: 0:00:15 (61.15 ms/it) accuracy/train: 0.992 loss/train: 0.0192     Train Epoch 3: 42%|█████████▎ | ETA: 0:00:14 (61.14 ms/it) accuracy/train: 0.969 loss/train: 0.0817     Train Epoch 3: 43%|█████████▍ | ETA: 0:00:14 (61.13 ms/it) accuracy/train: 0.984 loss/train: 0.056     Train Epoch 3: 43%|█████████▌ | ETA: 0:00:14 (61.10 ms/it) accuracy/train: 0.992 loss/train: 0.0345     Train Epoch 3: 44%|█████████▋ | ETA: 0:00:14 (61.08 ms/it) accuracy/train: 0.977 loss/train: 0.0953     Train Epoch 3: 44%|█████████▊ | ETA: 0:00:14 (61.03 ms/it) accuracy/train: 0.984 loss/train: 0.0594     Train Epoch 3: 45%|█████████▊ | ETA: 0:00:14 (60.99 ms/it) accuracy/train: 0.977 loss/train: 0.0648     Train Epoch 3: 45%|█████████▉ | ETA: 0:00:14 (61.00 ms/it) accuracy/train: 0.969 loss/train: 0.104     Train Epoch 3: 45%|██████████ | ETA: 0:00:14 (60.98 ms/it) accuracy/train: 0.984 loss/train: 0.0346     Train Epoch 3: 46%|██████████▏ | ETA: 0:00:13 (60.96 ms/it) accuracy/train: 0.977 loss/train: 0.145     Train Epoch 3: 46%|██████████▎ | ETA: 0:00:13 (60.95 ms/it) accuracy/train: 0.961 loss/train: 0.111     Train Epoch 3: 47%|██████████▍ | ETA: 0:00:13 (60.95 ms/it) accuracy/train: 0.969 loss/train: 0.0761     Train Epoch 3: 47%|██████████▍ | ETA: 0:00:13 (60.96 ms/it) accuracy/train: 0.977 loss/train: 0.0945     Train Epoch 3: 48%|██████████▌ | ETA: 0:00:13 (60.93 ms/it) accuracy/train: 1.0 loss/train: 0.0127     Train Epoch 3: 48%|██████████▋ | ETA: 0:00:13 (60.90 ms/it) accuracy/train: 0.961 loss/train: 0.114     Train Epoch 3: 49%|██████████▊ | ETA: 0:00:13 (60.85 ms/it) accuracy/train: 0.977 loss/train: 0.101     Train Epoch 3: 49%|██████████▉ | ETA: 0:00:13 (60.80 ms/it) accuracy/train: 0.977 loss/train: 0.0758     Train Epoch 3: 50%|███████████ | ETA: 0:00:12 (60.81 ms/it) accuracy/train: 1.0 loss/train: 0.0161     Train Epoch 3: 50%|███████████ | ETA: 0:00:12 (60.76 ms/it) accuracy/train: 0.984 loss/train: 0.0332     Train Epoch 3: 51%|███████████▏ | ETA: 0:00:12 (60.71 ms/it) accuracy/train: 0.992 loss/train: 0.0196     Train Epoch 3: 51%|███████████▎ | ETA: 0:00:12 (60.67 ms/it) accuracy/train: 0.984 loss/train: 0.0319     Train Epoch 3: 52%|███████████▍ | ETA: 0:00:12 (60.62 ms/it) accuracy/train: 0.984 loss/train: 0.0345     Train Epoch 3: 52%|███████████▌ | ETA: 0:00:12 (60.59 ms/it) accuracy/train: 0.992 loss/train: 0.0241     Train Epoch 3: 53%|███████████▋ | ETA: 0:00:12 (60.55 ms/it) accuracy/train: 0.992 loss/train: 0.0451     Train Epoch 3: 53%|███████████▋ | ETA: 0:00:11 (60.51 ms/it) accuracy/train: 0.984 loss/train: 0.0221     Train Epoch 3: 54%|███████████▊ | ETA: 0:00:11 (60.47 ms/it) accuracy/train: 0.984 loss/train: 0.0458     Train Epoch 3: 54%|███████████▉ | ETA: 0:00:11 (60.42 ms/it) accuracy/train: 1.0 loss/train: 0.0212     Train Epoch 3: 55%|████████████ | ETA: 0:00:11 (60.45 ms/it) accuracy/train: 0.977 loss/train: 0.0808     Train Epoch 3: 55%|████████████▏ | ETA: 0:00:11 (60.44 ms/it) accuracy/train: 0.984 loss/train: 0.0409     Train Epoch 3: 55%|████████████▎ | ETA: 0:00:11 (60.42 ms/it) accuracy/train: 0.984 loss/train: 0.0664     Train Epoch 3: 56%|████████████▎ | ETA: 0:00:11 (60.41 ms/it) accuracy/train: 0.984 loss/train: 0.0795     Train Epoch 3: 56%|████████████▍ | ETA: 0:00:11 (60.38 ms/it) accuracy/train: 0.953 loss/train: 0.136     Train Epoch 3: 57%|████████████▌ | ETA: 0:00:10 (60.39 ms/it) accuracy/train: 0.992 loss/train: 0.0303     Train Epoch 3: 57%|████████████▋ | ETA: 0:00:10 (60.38 ms/it) accuracy/train: 0.992 loss/train: 0.0153     Train Epoch 3: 58%|████████████▊ | ETA: 0:00:10 (60.38 ms/it) accuracy/train: 1.0 loss/train: 0.0154     Train Epoch 3: 58%|████████████▉ | ETA: 0:00:10 (60.38 ms/it) accuracy/train: 0.977 loss/train: 0.0592     Train Epoch 3: 59%|████████████▉ | ETA: 0:00:10 (60.37 ms/it) accuracy/train: 0.992 loss/train: 0.0245     Train Epoch 3: 59%|█████████████ | ETA: 0:00:10 (60.38 ms/it) accuracy/train: 0.977 loss/train: 0.0482     Train Epoch 3: 60%|█████████████▏ | ETA: 0:00:10 (60.38 ms/it) accuracy/train: 0.961 loss/train: 0.0761     Train Epoch 3: 60%|█████████████▎ | ETA: 0:00:10 (60.36 ms/it) accuracy/train: 0.984 loss/train: 0.0384     Train Epoch 3: 61%|█████████████▍ | ETA: 0:00:10 (60.34 ms/it) accuracy/train: 0.992 loss/train: 0.082     Train Epoch 3: 61%|█████████████▌ | ETA: 0:00:09 (60.29 ms/it) accuracy/train: 1.0 loss/train: 0.0134     Train Epoch 3: 62%|█████████████▌ | ETA: 0:00:09 (60.26 ms/it) accuracy/train: 0.992 loss/train: 0.0302     Train Epoch 3: 62%|█████████████▋ | ETA: 0:00:09 (60.23 ms/it) accuracy/train: 0.984 loss/train: 0.0382     Train Epoch 3: 63%|█████████████▊ | ETA: 0:00:09 (60.20 ms/it) accuracy/train: 0.984 loss/train: 0.0547     Train Epoch 3: 63%|█████████████▉ | ETA: 0:00:09 (60.16 ms/it) accuracy/train: 1.0 loss/train: 0.0115     Train Epoch 3: 64%|██████████████ | ETA: 0:00:09 (60.12 ms/it) accuracy/train: 0.984 loss/train: 0.0222     Train Epoch 3: 64%|██████████████▏ | ETA: 0:00:09 (60.10 ms/it) accuracy/train: 0.961 loss/train: 0.189     Train Epoch 3: 64%|██████████████▏ | ETA: 0:00:09 (60.06 ms/it) accuracy/train: 1.0 loss/train: 0.0207     Train Epoch 3: 65%|██████████████▎ | ETA: 0:00:08 (60.03 ms/it) accuracy/train: 0.992 loss/train: 0.0454     Train Epoch 3: 65%|██████████████▍ | ETA: 0:00:08 (60.01 ms/it) accuracy/train: 0.984 loss/train: 0.0436     Train Epoch 3: 66%|██████████████▌ | ETA: 0:00:08 (59.98 ms/it) accuracy/train: 1.0 loss/train: 0.00719     Train Epoch 3: 66%|██████████████▋ | ETA: 0:00:08 (59.96 ms/it) accuracy/train: 0.984 loss/train: 0.0788     Train Epoch 3: 67%|██████████████▊ | ETA: 0:00:08 (59.94 ms/it) accuracy/train: 0.984 loss/train: 0.0597     Train Epoch 3: 67%|██████████████▊ | ETA: 0:00:08 (59.91 ms/it) accuracy/train: 0.992 loss/train: 0.0468     Train Epoch 3: 68%|██████████████▉ | ETA: 0:00:08 (59.89 ms/it) accuracy/train: 0.992 loss/train: 0.0247     Train Epoch 3: 68%|███████████████ | ETA: 0:00:08 (59.86 ms/it) accuracy/train: 0.992 loss/train: 0.03     Train Epoch 3: 69%|███████████████▏ | ETA: 0:00:07 (59.83 ms/it) accuracy/train: 0.984 loss/train: 0.0272     Train Epoch 3: 69%|███████████████▎ | ETA: 0:00:07 (59.83 ms/it) accuracy/train: 0.984 loss/train: 0.0481     Train Epoch 3: 70%|███████████████▍ | ETA: 0:00:07 (59.81 ms/it) accuracy/train: 1.0 loss/train: 0.0127     Train Epoch 3: 70%|███████████████▍ | ETA: 0:00:07 (59.78 ms/it) accuracy/train: 0.977 loss/train: 0.0567     Train Epoch 3: 71%|███████████████▌ | ETA: 0:00:07 (59.74 ms/it) accuracy/train: 0.984 loss/train: 0.036     Train Epoch 3: 71%|███████████████▋ | ETA: 0:00:07 (59.71 ms/it) accuracy/train: 0.969 loss/train: 0.0528     Train Epoch 3: 72%|███████████████▊ | ETA: 0:00:07 (59.68 ms/it) accuracy/train: 0.992 loss/train: 0.0394     Train Epoch 3: 72%|███████████████▉ | ETA: 0:00:07 (59.64 ms/it) accuracy/train: 0.984 loss/train: 0.0583     Train Epoch 3: 73%|████████████████ | ETA: 0:00:06 (59.62 ms/it) accuracy/train: 0.992 loss/train: 0.0344     Train Epoch 3: 73%|████████████████ | ETA: 0:00:06 (59.59 ms/it) accuracy/train: 0.984 loss/train: 0.0391     Train Epoch 3: 73%|████████████████▏ | ETA: 0:00:06 (59.56 ms/it) accuracy/train: 0.969 loss/train: 0.0607     Train Epoch 3: 74%|████████████████▎ | ETA: 0:00:06 (59.54 ms/it) accuracy/train: 1.0 loss/train: 0.0133     Train Epoch 3: 74%|████████████████▍ | ETA: 0:00:06 (59.51 ms/it) accuracy/train: 0.984 loss/train: 0.0297     Train Epoch 3: 75%|████████████████▌ | ETA: 0:00:06 (59.48 ms/it) accuracy/train: 0.992 loss/train: 0.0249     Train Epoch 3: 75%|████████████████▋ | ETA: 0:00:06 (59.45 ms/it) accuracy/train: 0.992 loss/train: 0.0448     Train Epoch 3: 76%|████████████████▋ | ETA: 0:00:06 (59.43 ms/it) accuracy/train: 1.0 loss/train: 0.00206     Train Epoch 3: 76%|████████████████▊ | ETA: 0:00:05 (59.43 ms/it) accuracy/train: 0.992 loss/train: 0.0173     Train Epoch 3: 77%|████████████████▉ | ETA: 0:00:05 (59.45 ms/it) accuracy/train: 0.984 loss/train: 0.0417     Train Epoch 3: 77%|█████████████████ | ETA: 0:00:05 (59.42 ms/it) accuracy/train: 0.984 loss/train: 0.0248     Train Epoch 3: 78%|█████████████████▏ | ETA: 0:00:05 (59.40 ms/it) accuracy/train: 0.969 loss/train: 0.137     Train Epoch 3: 78%|█████████████████▎ | ETA: 0:00:05 (59.37 ms/it) accuracy/train: 0.984 loss/train: 0.0468     Train Epoch 3: 79%|█████████████████▎ | ETA: 0:00:05 (59.44 ms/it) accuracy/train: 0.992 loss/train: 0.03     Train Epoch 3: 79%|█████████████████▍ | ETA: 0:00:05 (59.42 ms/it) accuracy/train: 0.961 loss/train: 0.0637     Train Epoch 3: 80%|█████████████████▌ | ETA: 0:00:05 (59.42 ms/it) accuracy/train: 0.984 loss/train: 0.0528     Train Epoch 3: 80%|█████████████████▋ | ETA: 0:00:04 (59.42 ms/it) accuracy/train: 0.984 loss/train: 0.0776     Train Epoch 3: 81%|█████████████████▊ | ETA: 0:00:04 (59.40 ms/it) accuracy/train: 0.992 loss/train: 0.0231     Train Epoch 3: 81%|█████████████████▉ | ETA: 0:00:04 (59.40 ms/it) accuracy/train: 0.977 loss/train: 0.0473     Train Epoch 3: 82%|█████████████████▉ | ETA: 0:00:04 (59.37 ms/it) accuracy/train: 1.0 loss/train: 0.0142     Train Epoch 3: 82%|██████████████████ | ETA: 0:00:04 (59.36 ms/it) accuracy/train: 0.984 loss/train: 0.0505     Train Epoch 3: 82%|██████████████████▏ | ETA: 0:00:04 (59.33 ms/it) accuracy/train: 0.969 loss/train: 0.0957     Train Epoch 3: 83%|██████████████████▎ | ETA: 0:00:04 (59.31 ms/it) accuracy/train: 0.992 loss/train: 0.0216     Train Epoch 3: 83%|██████████████████▍ | ETA: 0:00:04 (59.29 ms/it) accuracy/train: 0.984 loss/train: 0.0313     Train Epoch 3: 84%|██████████████████▌ | ETA: 0:00:04 (59.27 ms/it) accuracy/train: 0.992 loss/train: 0.0143     Train Epoch 3: 84%|██████████████████▌ | ETA: 0:00:03 (59.24 ms/it) accuracy/train: 0.992 loss/train: 0.0264     Train Epoch 3: 85%|██████████████████▋ | ETA: 0:00:03 (59.23 ms/it) accuracy/train: 1.0 loss/train: 0.00523     Train Epoch 3: 85%|██████████████████▊ | ETA: 0:00:03 (59.21 ms/it) accuracy/train: 0.992 loss/train: 0.0281     Train Epoch 3: 86%|██████████████████▉ | ETA: 0:00:03 (59.20 ms/it) accuracy/train: 0.992 loss/train: 0.0275     Train Epoch 3: 86%|███████████████████ | ETA: 0:00:03 (59.18 ms/it) accuracy/train: 1.0 loss/train: 0.0163     Train Epoch 3: 87%|███████████████████▏ | ETA: 0:00:03 (59.16 ms/it) accuracy/train: 0.992 loss/train: 0.0291     Train Epoch 3: 87%|███████████████████▏ | ETA: 0:00:03 (59.15 ms/it) accuracy/train: 1.0 loss/train: 0.0137     Train Epoch 3: 88%|███████████████████▎ | ETA: 0:00:03 (59.13 ms/it) accuracy/train: 0.977 loss/train: 0.0662     Train Epoch 3: 88%|███████████████████▍ | ETA: 0:00:02 (59.12 ms/it) accuracy/train: 1.0 loss/train: 0.0103     Train Epoch 3: 89%|███████████████████▌ | ETA: 0:00:02 (59.10 ms/it) accuracy/train: 0.984 loss/train: 0.0548     Train Epoch 3: 89%|███████████████████▋ | ETA: 0:00:02 (59.08 ms/it) accuracy/train: 0.992 loss/train: 0.0356     Train Epoch 3: 90%|███████████████████▊ | ETA: 0:00:02 (59.05 ms/it) accuracy/train: 0.977 loss/train: 0.0663     Train Epoch 3: 90%|███████████████████▊ | ETA: 0:00:02 (59.04 ms/it) accuracy/train: 0.992 loss/train: 0.0618     Train Epoch 3: 91%|███████████████████▉ | ETA: 0:00:02 (59.03 ms/it) accuracy/train: 0.992 loss/train: 0.0136     Train Epoch 3: 91%|████████████████████ | ETA: 0:00:02 (59.01 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 3: 91%|████████████████████▏ | ETA: 0:00:02 (58.99 ms/it) accuracy/train: 0.992 loss/train: 0.0635     Train Epoch 3: 92%|████████████████████▎ | ETA: 0:00:02 (58.97 ms/it) accuracy/train: 1.0 loss/train: 0.00366     Train Epoch 3: 92%|████████████████████▍ | ETA: 0:00:01 (58.96 ms/it) accuracy/train: 0.984 loss/train: 0.101     Train Epoch 3: 93%|████████████████████▍ | ETA: 0:00:01 (58.95 ms/it) accuracy/train: 1.0 loss/train: 0.00324     Train Epoch 3: 93%|████████████████████▌ | ETA: 0:00:01 (58.94 ms/it) accuracy/train: 1.0 loss/train: 0.0147     Train Epoch 3: 94%|████████████████████▋ | ETA: 0:00:01 (58.92 ms/it) accuracy/train: 1.0 loss/train: 0.0173     Train Epoch 3: 94%|████████████████████▊ | ETA: 0:00:01 (58.90 ms/it) accuracy/train: 0.969 loss/train: 0.0509     Train Epoch 3: 95%|████████████████████▉ | ETA: 0:00:01 (58.88 ms/it) accuracy/train: 0.984 loss/train: 0.0368     Train Epoch 3: 95%|█████████████████████ | ETA: 0:00:01 (58.86 ms/it) accuracy/train: 1.0 loss/train: 0.0158     Train Epoch 3: 96%|█████████████████████ | ETA: 0:00:01 (58.86 ms/it) accuracy/train: 1.0 loss/train: 0.00543     Train Epoch 3: 96%|█████████████████████▏| ETA: 0:00:00 (58.84 ms/it) accuracy/train: 0.969 loss/train: 0.1     Train Epoch 3: 97%|█████████████████████▎| ETA: 0:00:00 (58.83 ms/it) accuracy/train: 0.984 loss/train: 0.0428     Train Epoch 3: 97%|█████████████████████▍| ETA: 0:00:00 (58.85 ms/it) accuracy/train: 1.0 loss/train: 0.0155     Train Epoch 3: 98%|█████████████████████▌| ETA: 0:00:00 (58.91 ms/it) accuracy/train: 0.992 loss/train: 0.0117     Train Epoch 3: 98%|█████████████████████▋| ETA: 0:00:00 (58.95 ms/it) accuracy/train: 1.0 loss/train: 0.00542     Train Epoch 3: 99%|█████████████████████▋| ETA: 0:00:00 (58.94 ms/it) accuracy/train: 1.0 loss/train: 0.00629     Train Epoch 3: 99%|█████████████████████▊| ETA: 0:00:00 (58.93 ms/it) accuracy/train: 1.0 loss/train: 0.0158     Train Epoch 3: 100%|█████████████████████▉| ETA: 0:00:00 (58.92 ms/it) accuracy/train: 0.984 loss/train: 0.047     Train Epoch 3: 100%|██████████████████████| Time: 0:00:24 (58.90 ms/it) accuracy/train: 0.982 loss/train: 0.0556 Val Epoch 3: 32%|███████▋ | ETA: 0:00:00 ( 6.93 ms/it) accuracy/val: 0.978 loss/val: 0.0733     Val Epoch 3: 66%|███████████████▉ | ETA: 0:00:00 ( 6.73 ms/it) accuracy/val: 0.978 loss/val: 0.0735     Val Epoch 3: 100%|████████████████████████| Time: 0:00:00 ( 6.61 ms/it) accuracy/val: 0.98 loss/val: 0.0722 [ Info: GPUs available: false, used: false [ Info: Model Summary: MLP( Chain( MLUtils.flatten, Dense(784 => 1024, relu), # 803_840 parameters Dense(1024 => 10), # 10_250 parameters ), ) # Total: 4 arrays, 814_090 parameters, 3.106 MiB. [ Info: Run Directory: /home/pkgeval/.julia/packages/Tsunami/5iz8R/examples/MLP_MNIST/tsunami_logs/run_2 Val Epoch 3: 32%|███████▋ | ETA: 0:00:00 ( 6.70 ms/it) accuracy/val: 0.981 loss/val: 0.0776     Val Epoch 3: 66%|███████████████▉ | ETA: 0:00:00 ( 6.64 ms/it) accuracy/val: 0.979 loss/val: 0.0775     Val Epoch 3: 98%|███████████████████████▌| ETA: 0:00:00 ( 6.75 ms/it) accuracy/val: 0.98 loss/val: 0.072     Val Epoch 3: 100%|████████████████████████| Time: 0:00:00 ( 6.74 ms/it) accuracy/val: 0.98 loss/val: 0.0722   Train Epoch 4: 0%|▏ | ETA: 0:00:26 (62.23 ms/it) accuracy/train: 0.984 loss/train: 0.0387     Train Epoch 4: 1%|▎ | ETA: 0:00:26 (62.71 ms/it) accuracy/train: 0.992 loss/train: 0.0266     Train Epoch 4: 1%|▍ | ETA: 0:00:26 (63.22 ms/it) accuracy/train: 1.0 loss/train: 0.00802     Train Epoch 4: 2%|▍ | ETA: 0:00:25 (62.76 ms/it) accuracy/train: 0.992 loss/train: 0.0293     Train Epoch 4: 2%|▌ | ETA: 0:00:25 (62.59 ms/it) accuracy/train: 1.0 loss/train: 0.00763     Train Epoch 4: 3%|▋ | ETA: 0:00:25 (62.71 ms/it) accuracy/train: 0.984 loss/train: 0.0375     Train Epoch 4: 3%|▊ | ETA: 0:00:25 (62.71 ms/it) accuracy/train: 1.0 loss/train: 0.00654     Train Epoch 4: 4%|▉ | ETA: 0:00:25 (62.73 ms/it) accuracy/train: 0.984 loss/train: 0.0247     Train Epoch 4: 4%|█ | ETA: 0:00:25 (62.64 ms/it) accuracy/train: 0.992 loss/train: 0.0221     Train Epoch 4: 5%|█ | ETA: 0:00:25 (62.50 ms/it) accuracy/train: 0.977 loss/train: 0.0433     Train Epoch 4: 5%|█▏ | ETA: 0:00:28 (71.44 ms/it) accuracy/train: 1.0 loss/train: 0.0163     Train Epoch 4: 6%|█▎ | ETA: 0:00:27 (70.19 ms/it) accuracy/train: 1.0 loss/train: 0.00314     Train Epoch 4: 6%|█▍ | ETA: 0:00:27 (69.13 ms/it) accuracy/train: 1.0 loss/train: 0.026     Train Epoch 4: 7%|█▌ | ETA: 0:00:26 (68.21 ms/it) accuracy/train: 1.0 loss/train: 0.00958     Train Epoch 4: 7%|█▋ | ETA: 0:00:26 (67.37 ms/it) accuracy/train: 0.992 loss/train: 0.0362     Train Epoch 4: 8%|█▋ | ETA: 0:00:25 (66.52 ms/it) accuracy/train: 0.992 loss/train: 0.0352     Train Epoch 4: 8%|█▊ | ETA: 0:00:25 (66.08 ms/it) accuracy/train: 0.992 loss/train: 0.0409     Train Epoch 4: 9%|█▉ | ETA: 0:00:25 (65.69 ms/it) accuracy/train: 1.0 loss/train: 0.00747     Train Epoch 4: 9%|██ | ETA: 0:00:25 (65.22 ms/it) accuracy/train: 0.992 loss/train: 0.0225     Train Epoch 4: 9%|██▏ | ETA: 0:00:24 (64.77 ms/it) accuracy/train: 1.0 loss/train: 0.0116     Train Epoch 4: 10%|██▎ | ETA: 0:00:24 (64.33 ms/it) accuracy/train: 0.984 loss/train: 0.0774     Train Epoch 4: 10%|██▎ | ETA: 0:00:24 (64.00 ms/it) accuracy/train: 0.984 loss/train: 0.0294     Train Epoch 4: 11%|██▍ | ETA: 0:00:24 (65.07 ms/it) accuracy/train: 0.992 loss/train: 0.0238     Train Epoch 4: 11%|██▌ | ETA: 0:00:24 (64.65 ms/it) accuracy/train: 0.977 loss/train: 0.112     Train Epoch 4: 12%|██▋ | ETA: 0:00:23 (64.36 ms/it) accuracy/train: 0.992 loss/train: 0.0367     Train Epoch 4: 12%|██▊ | ETA: 0:00:23 (64.49 ms/it) accuracy/train: 0.977 loss/train: 0.0451     Train Epoch 4: 13%|██▉ | ETA: 0:00:23 (64.73 ms/it) accuracy/train: 1.0 loss/train: 0.0121     Train Epoch 4: 13%|██▉ | ETA: 0:00:23 (64.88 ms/it) accuracy/train: 0.984 loss/train: 0.0705     Train Epoch 4: 14%|███ | ETA: 0:00:23 (65.37 ms/it) accuracy/train: 0.977 loss/train: 0.0345     Train Epoch 4: 14%|███▏ | ETA: 0:00:23 (65.27 ms/it) accuracy/train: 1.0 loss/train: 0.00381     Train Epoch 4: 15%|███▎ | ETA: 0:00:23 (65.09 ms/it) accuracy/train: 0.992 loss/train: 0.0231     Train Epoch 4: 15%|███▍ | ETA: 0:00:23 (64.83 ms/it) accuracy/train: 0.984 loss/train: 0.0311     Train Epoch 4: 16%|███▌ | ETA: 0:00:23 (64.79 ms/it) accuracy/train: 0.992 loss/train: 0.0248     Train Epoch 4: 16%|███▌ | ETA: 0:00:22 (64.71 ms/it) accuracy/train: 0.969 loss/train: 0.0659     Train Epoch 4: 17%|███▋ | ETA: 0:00:22 (64.57 ms/it) accuracy/train: 0.984 loss/train: 0.06     Train Epoch 4: 17%|███▊ | ETA: 0:00:22 (64.44 ms/it) accuracy/train: 0.992 loss/train: 0.0111     Train Epoch 4: 18%|███▉ | ETA: 0:00:22 (64.32 ms/it) accuracy/train: 1.0 loss/train: 0.00596     Train Epoch 4: 18%|████ | ETA: 0:00:22 (64.18 ms/it) accuracy/train: 0.984 loss/train: 0.0374     Train Epoch 4: 18%|████▏ | ETA: 0:00:22 (64.06 ms/it) accuracy/train: 0.984 loss/train: 0.0643     Train Epoch 4: 19%|████▏ | ETA: 0:00:21 (63.87 ms/it) accuracy/train: 0.984 loss/train: 0.0253     Train Epoch 4: 19%|████▎ | ETA: 0:00:21 (63.86 ms/it) accuracy/train: 0.992 loss/train: 0.0367     Train Epoch 4: 20%|████▍ | ETA: 0:00:21 (63.79 ms/it) accuracy/train: 1.0 loss/train: 0.00372     Train Epoch 4: 20%|████▌ | ETA: 0:00:21 (63.64 ms/it) accuracy/train: 0.984 loss/train: 0.0435     Train Epoch 4: 21%|████▋ | ETA: 0:00:21 (63.58 ms/it) accuracy/train: 0.984 loss/train: 0.0223     Train Epoch 4: 21%|████▊ | ETA: 0:00:21 (63.46 ms/it) accuracy/train: 0.992 loss/train: 0.0139     Train Epoch 4: 22%|████▊ | ETA: 0:00:20 (63.39 ms/it) accuracy/train: 0.977 loss/train: 0.041     Train Epoch 4: 22%|████▉ | ETA: 0:00:20 (63.54 ms/it) accuracy/train: 0.992 loss/train: 0.016     Train Epoch 4: 23%|█████ | ETA: 0:00:20 (63.47 ms/it) accuracy/train: 0.992 loss/train: 0.0165     Train Epoch 4: 23%|█████▏ | ETA: 0:00:20 (63.47 ms/it) accuracy/train: 1.0 loss/train: 0.0146     Train Epoch 4: 24%|█████▎ | ETA: 0:00:20 (63.65 ms/it) accuracy/train: 1.0 loss/train: 0.0218     Train Epoch 4: 24%|█████▍ | ETA: 0:00:20 (63.88 ms/it) accuracy/train: 0.992 loss/train: 0.0202     Train Epoch 4: 25%|█████▍ | ETA: 0:00:20 (64.00 ms/it) accuracy/train: 1.0 loss/train: 0.00496     Train Epoch 4: 25%|█████▌ | ETA: 0:00:20 (63.99 ms/it) accuracy/train: 0.992 loss/train: 0.0369     Train Epoch 4: 26%|█████▋ | ETA: 0:00:20 (64.00 ms/it) accuracy/train: 0.992 loss/train: 0.0492     Train Epoch 4: 26%|█████▊ | ETA: 0:00:19 (64.03 ms/it) accuracy/train: 0.984 loss/train: 0.0748     Train Epoch 4: 27%|█████▉ | ETA: 0:00:19 (63.91 ms/it) accuracy/train: 0.984 loss/train: 0.035     Train Epoch 4: 27%|██████ | ETA: 0:00:19 (63.85 ms/it) accuracy/train: 0.992 loss/train: 0.0208     Train Epoch 4: 27%|██████ | ETA: 0:00:19 (63.73 ms/it) accuracy/train: 0.992 loss/train: 0.0404     Train Epoch 4: 28%|██████▏ | ETA: 0:00:19 (63.70 ms/it) accuracy/train: 0.984 loss/train: 0.0291     Train Epoch 4: 28%|██████▎ | ETA: 0:00:19 (63.56 ms/it) accuracy/train: 0.992 loss/train: 0.0297     Train Epoch 4: 29%|██████▍ | ETA: 0:00:19 (63.43 ms/it) accuracy/train: 1.0 loss/train: 0.0113     Train Epoch 4: 29%|██████▌ | ETA: 0:00:18 (63.29 ms/it) accuracy/train: 0.992 loss/train: 0.0268     Train Epoch 4: 30%|██████▋ | ETA: 0:00:18 (63.15 ms/it) accuracy/train: 0.992 loss/train: 0.045     Train Epoch 4: 30%|██████▋ | ETA: 0:00:18 (63.26 ms/it) accuracy/train: 1.0 loss/train: 0.0134     Train Epoch 4: 31%|██████▊ | ETA: 0:00:18 (63.31 ms/it) accuracy/train: 0.984 loss/train: 0.023     Train Epoch 4: 31%|██████▉ | ETA: 0:00:18 (63.19 ms/it) accuracy/train: 0.992 loss/train: 0.0211     Train Epoch 4: 32%|███████ | ETA: 0:00:18 (63.08 ms/it) accuracy/train: 1.0 loss/train: 0.00516     Train Epoch 4: 32%|███████▏ | ETA: 0:00:18 (62.96 ms/it) accuracy/train: 0.992 loss/train: 0.023     Train Epoch 4: 33%|███████▎ | ETA: 0:00:17 (62.84 ms/it) accuracy/train: 0.984 loss/train: 0.0564     Train Epoch 4: 33%|███████▎ | ETA: 0:00:17 (62.76 ms/it) accuracy/train: 0.961 loss/train: 0.13     Train Epoch 4: 34%|███████▍ | ETA: 0:00:17 (62.66 ms/it) accuracy/train: 1.0 loss/train: 0.0241     Train Epoch 4: 34%|███████▌ | ETA: 0:00:17 (62.61 ms/it) accuracy/train: 1.0 loss/train: 0.0218     Train Epoch 4: 35%|███████▋ | ETA: 0:00:17 (62.53 ms/it) accuracy/train: 0.992 loss/train: 0.0148     Train Epoch 4: 35%|███████▊ | ETA: 0:00:17 (62.44 ms/it) accuracy/train: 1.0 loss/train: 0.0108     Train Epoch 4: 36%|███████▉ | ETA: 0:00:16 (62.38 ms/it) accuracy/train: 0.992 loss/train: 0.0303     Train Epoch 4: 36%|███████▉ | ETA: 0:00:16 (62.28 ms/it) accuracy/train: 1.0 loss/train: 0.0154     Train Epoch 4: 36%|████████ | ETA: 0:00:16 (62.22 ms/it) accuracy/train: 0.992 loss/train: 0.026     Train Epoch 4: 37%|████████▏ | ETA: 0:00:16 (62.13 ms/it) accuracy/train: 1.0 loss/train: 0.0103     Train Epoch 4: 37%|████████▎ | ETA: 0:00:16 (62.05 ms/it) accuracy/train: 0.984 loss/train: 0.0269     Train Epoch 4: 38%|████████▍ | ETA: 0:00:16 (61.99 ms/it) accuracy/train: 0.992 loss/train: 0.0193     Train Epoch 4: 38%|████████▌ | ETA: 0:00:16 (61.92 ms/it) accuracy/train: 1.0 loss/train: 0.00343     Train Epoch 4: 39%|████████▌ | ETA: 0:00:15 (61.84 ms/it) accuracy/train: 0.984 loss/train: 0.0373     Train Epoch 4: 39%|████████▋ | ETA: 0:00:15 (61.77 ms/it) accuracy/train: 0.984 loss/train: 0.0624     Train Epoch 4: 40%|████████▊ | ETA: 0:00:15 (61.71 ms/it) accuracy/train: 0.992 loss/train: 0.0382     Train Epoch 4: 40%|████████▉ | ETA: 0:00:15 (61.66 ms/it) accuracy/train: 0.984 loss/train: 0.0262     Train Epoch 4: 41%|█████████ | ETA: 0:00:15 (61.58 ms/it) accuracy/train: 1.0 loss/train: 0.00603     Train Epoch 4: 41%|█████████▏ | ETA: 0:00:15 (61.54 ms/it) accuracy/train: 1.0 loss/train: 0.00831     Train Epoch 4: 42%|█████████▏ | ETA: 0:00:15 (61.48 ms/it) accuracy/train: 1.0 loss/train: 0.0122     Train Epoch 4: 42%|█████████▎ | ETA: 0:00:14 (61.43 ms/it) accuracy/train: 0.977 loss/train: 0.13     Train Epoch 4: 43%|█████████▍ | ETA: 0:00:14 (61.37 ms/it) accuracy/train: 0.984 loss/train: 0.0222     Train Epoch 4: 43%|█████████▌ | ETA: 0:00:14 (61.33 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 4: 44%|█████████▋ | ETA: 0:00:14 (61.28 ms/it) accuracy/train: 0.992 loss/train: 0.0383     Train Epoch 4: 44%|█████████▊ | ETA: 0:00:14 (61.22 ms/it) accuracy/train: 0.992 loss/train: 0.028     Train Epoch 4: 45%|█████████▊ | ETA: 0:00:14 (61.19 ms/it) accuracy/train: 0.992 loss/train: 0.0147     Train Epoch 4: 45%|█████████▉ | ETA: 0:00:14 (61.13 ms/it) accuracy/train: 0.984 loss/train: 0.0274     Train Epoch 4: 45%|██████████ | ETA: 0:00:14 (61.09 ms/it) accuracy/train: 0.992 loss/train: 0.0408     Train Epoch 4: 46%|██████████▏ | ETA: 0:00:13 (61.06 ms/it) accuracy/train: 0.977 loss/train: 0.122     Train Epoch 4: 46%|██████████▎ | ETA: 0:00:13 (61.02 ms/it) accuracy/train: 0.992 loss/train: 0.0346     Train Epoch 4: 47%|██████████▍ | ETA: 0:00:13 (60.97 ms/it) accuracy/train: 0.977 loss/train: 0.111     Train Epoch 4: 47%|██████████▍ | ETA: 0:00:13 (60.94 ms/it) accuracy/train: 1.0 loss/train: 0.00341     Train Epoch 4: 48%|██████████▌ | ETA: 0:00:13 (60.90 ms/it) accuracy/train: 0.992 loss/train: 0.0199     Train Epoch 4: 48%|██████████▋ | ETA: 0:00:13 (60.85 ms/it) accuracy/train: 1.0 loss/train: 0.00278     Train Epoch 4: 49%|██████████▊ | ETA: 0:00:13 (60.81 ms/it) accuracy/train: 0.992 loss/train: 0.0147     Train Epoch 4: 49%|██████████▉ | ETA: 0:00:13 (60.76 ms/it) accuracy/train: 0.969 loss/train: 0.0569     Train Epoch 4: 50%|███████████ | ETA: 0:00:12 (60.71 ms/it) accuracy/train: 0.984 loss/train: 0.0634     Train Epoch 4: 50%|███████████ | ETA: 0:00:12 (60.77 ms/it) accuracy/train: 1.0 loss/train: 0.0105     Train Epoch 4: 51%|███████████▏ | ETA: 0:00:12 (60.74 ms/it) accuracy/train: 1.0 loss/train: 0.011     Train Epoch 4: 51%|███████████▎ | ETA: 0:00:12 (60.68 ms/it) accuracy/train: 0.992 loss/train: 0.028     Train Epoch 4: 52%|███████████▍ | ETA: 0:00:12 (60.64 ms/it) accuracy/train: 0.984 loss/train: 0.0439     Train Epoch 4: 52%|███████████▌ | ETA: 0:00:12 (60.60 ms/it) accuracy/train: 0.969 loss/train: 0.065     Train Epoch 4: 53%|███████████▋ | ETA: 0:00:12 (60.56 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 4: 53%|███████████▋ | ETA: 0:00:12 (60.61 ms/it) accuracy/train: 1.0 loss/train: 0.00798     Train Epoch 4: 54%|███████████▊ | ETA: 0:00:11 (60.57 ms/it) accuracy/train: 0.969 loss/train: 0.0509     Train Epoch 4: 54%|███████████▉ | ETA: 0:00:11 (60.53 ms/it) accuracy/train: 0.992 loss/train: 0.0142     Train Epoch 4: 55%|████████████ | ETA: 0:00:11 (60.50 ms/it) accuracy/train: 0.984 loss/train: 0.0445     Train Epoch 4: 55%|████████████▏ | ETA: 0:00:11 (60.46 ms/it) accuracy/train: 1.0 loss/train: 0.00888     Train Epoch 4: 55%|████████████▎ | ETA: 0:00:11 (60.44 ms/it) accuracy/train: 1.0 loss/train: 0.00493     Train Epoch 4: 56%|████████████▎ | ETA: 0:00:11 (60.40 ms/it) accuracy/train: 1.0 loss/train: 0.0153     Train Epoch 4: 56%|████████████▍ | ETA: 0:00:11 (60.37 ms/it) accuracy/train: 1.0 loss/train: 0.00865     Train Epoch 4: 57%|████████████▌ | ETA: 0:00:10 (60.33 ms/it) accuracy/train: 1.0 loss/train: 0.00727     Train Epoch 4: 57%|████████████▋ | ETA: 0:00:10 (60.31 ms/it) accuracy/train: 1.0 loss/train: 0.00947     Train Epoch 4: 58%|████████████▊ | ETA: 0:00:10 (60.30 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 4: 58%|████████████▉ | ETA: 0:00:10 (60.27 ms/it) accuracy/train: 1.0 loss/train: 0.0119     Train Epoch 4: 59%|████████████▉ | ETA: 0:00:10 (60.24 ms/it) accuracy/train: 0.992 loss/train: 0.0408     Train Epoch 4: 59%|█████████████ | ETA: 0:00:10 (60.23 ms/it) accuracy/train: 0.992 loss/train: 0.0296     Train Epoch 4: 60%|█████████████▏ | ETA: 0:00:10 (60.23 ms/it) accuracy/train: 1.0 loss/train: 0.00523     Train Epoch 4: 60%|█████████████▎ | ETA: 0:00:10 (60.20 ms/it) accuracy/train: 1.0 loss/train: 0.0177     Train Epoch 4: 61%|█████████████▍ | ETA: 0:00:09 (60.16 ms/it) accuracy/train: 0.992 loss/train: 0.0338     Train Epoch 4: 61%|█████████████▌ | ETA: 0:00:09 (60.12 ms/it) accuracy/train: 1.0 loss/train: 0.0122     Train Epoch 4: 62%|█████████████▌ | ETA: 0:00:09 (60.11 ms/it) accuracy/train: 0.992 loss/train: 0.0267     Train Epoch 4: 62%|█████████████▋ | ETA: 0:00:09 (60.08 ms/it) accuracy/train: 0.992 loss/train: 0.011     Train Epoch 4: 63%|█████████████▊ | ETA: 0:00:09 (60.03 ms/it) accuracy/train: 0.984 loss/train: 0.0277     Train Epoch 4: 63%|█████████████▉ | ETA: 0:00:09 (60.04 ms/it) accuracy/train: 0.992 loss/train: 0.0186     Train Epoch 4: 64%|██████████████ | ETA: 0:00:09 (60.00 ms/it) accuracy/train: 0.992 loss/train: 0.0193     Train Epoch 4: 64%|██████████████▏ | ETA: 0:00:09 (59.96 ms/it) accuracy/train: 1.0 loss/train: 0.0155     Train Epoch 4: 64%|██████████████▏ | ETA: 0:00:08 (59.99 ms/it) accuracy/train: 1.0 loss/train: 0.0073     Train Epoch 4: 65%|██████████████▎ | ETA: 0:00:08 (59.96 ms/it) accuracy/train: 1.0 loss/train: 0.0163     Train Epoch 4: 65%|██████████████▍ | ETA: 0:00:08 (59.96 ms/it) accuracy/train: 1.0 loss/train: 0.011     Train Epoch 4: 66%|██████████████▌ | ETA: 0:00:08 (59.93 ms/it) accuracy/train: 1.0 loss/train: 0.0168     Train Epoch 4: 66%|██████████████▋ | ETA: 0:00:08 (59.91 ms/it) accuracy/train: 1.0 loss/train: 0.0131     Train Epoch 4: 67%|██████████████▊ | ETA: 0:00:08 (59.88 ms/it) accuracy/train: 0.977 loss/train: 0.0933     Train Epoch 4: 67%|██████████████▊ | ETA: 0:00:08 (59.85 ms/it) accuracy/train: 0.984 loss/train: 0.052     Train Epoch 4: 68%|██████████████▉ | ETA: 0:00:08 (59.83 ms/it) accuracy/train: 0.992 loss/train: 0.0177     Train Epoch 4: 68%|███████████████ | ETA: 0:00:08 (59.82 ms/it) accuracy/train: 0.984 loss/train: 0.0607     Train Epoch 4: 69%|███████████████▏ | ETA: 0:00:07 (59.79 ms/it) accuracy/train: 1.0 loss/train: 0.0114     Train Epoch 4: 69%|███████████████▎ | ETA: 0:00:07 (59.76 ms/it) accuracy/train: 0.992 loss/train: 0.0602     Train Epoch 4: 70%|███████████████▍ | ETA: 0:00:07 (59.73 ms/it) accuracy/train: 0.992 loss/train: 0.0439     Train Epoch 4: 70%|███████████████▍ | ETA: 0:00:07 (59.74 ms/it) accuracy/train: 0.992 loss/train: 0.014     Train Epoch 4: 71%|███████████████▌ | ETA: 0:00:07 (59.71 ms/it) accuracy/train: 1.0 loss/train: 0.0189     Train Epoch 4: 71%|███████████████▋ | ETA: 0:00:07 (59.68 ms/it) accuracy/train: 1.0 loss/train: 0.00757     Train Epoch 4: 72%|███████████████▊ | ETA: 0:00:07 (59.65 ms/it) accuracy/train: 0.977 loss/train: 0.0363     Train Epoch 4: 72%|███████████████▉ | ETA: 0:00:07 (59.65 ms/it) accuracy/train: 0.977 loss/train: 0.0954     Train Epoch 4: 73%|████████████████ | ETA: 0:00:06 (59.62 ms/it) accuracy/train: 1.0 loss/train: 0.00584     Train Epoch 4: 73%|████████████████ | ETA: 0:00:06 (59.61 ms/it) accuracy/train: 0.992 loss/train: 0.0214     Train Epoch 4: 73%|████████████████▏ | ETA: 0:00:06 (59.58 ms/it) accuracy/train: 0.984 loss/train: 0.058     Train Epoch 4: 74%|████████████████▎ | ETA: 0:00:06 (59.59 ms/it) accuracy/train: 0.977 loss/train: 0.0836     Train Epoch 4: 74%|████████████████▍ | ETA: 0:00:06 (59.56 ms/it) accuracy/train: 0.984 loss/train: 0.0408     Train Epoch 4: 75%|████████████████▌ | ETA: 0:00:06 (59.53 ms/it) accuracy/train: 0.984 loss/train: 0.0335     Train Epoch 4: 75%|████████████████▋ | ETA: 0:00:06 (59.52 ms/it) accuracy/train: 0.984 loss/train: 0.0208     Train Epoch 4: 76%|████████████████▋ | ETA: 0:00:06 (59.51 ms/it) accuracy/train: 0.984 loss/train: 0.0354     Train Epoch 4: 76%|████████████████▊ | ETA: 0:00:05 (59.48 ms/it) accuracy/train: 0.992 loss/train: 0.0214     Train Epoch 4: 77%|████████████████▉ | ETA: 0:00:05 (59.46 ms/it) accuracy/train: 0.984 loss/train: 0.064     Train Epoch 4: 77%|█████████████████ | ETA: 0:00:05 (59.43 ms/it) accuracy/train: 0.992 loss/train: 0.0322     Train Epoch 4: 78%|█████████████████▏ | ETA: 0:00:05 (59.46 ms/it) accuracy/train: 1.0 loss/train: 0.00873     Train Epoch 4: 78%|█████████████████▎ | ETA: 0:00:05 (59.43 ms/it) accuracy/train: 0.992 loss/train: 0.0237     Train Epoch 4: 79%|█████████████████▎ | ETA: 0:00:05 (59.41 ms/it) accuracy/train: 0.992 loss/train: 0.0181     Train Epoch 4: 79%|█████████████████▍ | ETA: 0:00:05 (59.39 ms/it) accuracy/train: 0.984 loss/train: 0.0573     Train Epoch 4: 80%|█████████████████▌ | ETA: 0:00:05 (59.36 ms/it) accuracy/train: 1.0 loss/train: 0.00773     Train Epoch 4: 80%|█████████████████▋ | ETA: 0:00:04 (59.38 ms/it) accuracy/train: 0.992 loss/train: 0.0206     Train Epoch 4: 81%|█████████████████▊ | ETA: 0:00:04 (59.36 ms/it) accuracy/train: 0.977 loss/train: 0.0738     Train Epoch 4: 81%|█████████████████▉ | ETA: 0:00:04 (59.34 ms/it) accuracy/train: 0.992 loss/train: 0.028     Train Epoch 4: 82%|█████████████████▉ | ETA: 0:00:04 (59.32 ms/it) accuracy/train: 0.984 loss/train: 0.0816     Train Epoch 4: 82%|██████████████████ | ETA: 0:00:04 (59.29 ms/it) accuracy/train: 0.984 loss/train: 0.0407     Train Epoch 4: 82%|██████████████████▏ | ETA: 0:00:04 (59.31 ms/it) accuracy/train: 0.977 loss/train: 0.0399     Train Epoch 4: 83%|██████████████████▎ | ETA: 0:00:04 (59.99 ms/it) accuracy/train: 0.984 loss/train: 0.0365     Train Epoch 4: 83%|██████████████████▍ | ETA: 0:00:04 (59.97 ms/it) accuracy/train: 1.0 loss/train: 0.0073     Train Epoch 4: 84%|██████████████████▌ | ETA: 0:00:04 (59.97 ms/it) accuracy/train: 0.984 loss/train: 0.056     Train Epoch 4: 84%|██████████████████▌ | ETA: 0:00:03 (59.95 ms/it) accuracy/train: 1.0 loss/train: 0.00359     Train Epoch 4: 85%|██████████████████▋ | ETA: 0:00:03 (59.92 ms/it) accuracy/train: 0.984 loss/train: 0.024     Train Epoch 4: 85%|██████████████████▊ | ETA: 0:00:03 (63.50 ms/it) accuracy/train: 1.0 loss/train: 0.0136     Train Epoch 4: 86%|██████████████████▉ | ETA: 0:00:03 (63.45 ms/it) accuracy/train: 0.992 loss/train: 0.0342     Train Epoch 4: 86%|███████████████████ | ETA: 0:00:03 (63.40 ms/it) accuracy/train: 0.984 loss/train: 0.0437     Train Epoch 4: 87%|███████████████████▏ | ETA: 0:00:03 (63.38 ms/it) accuracy/train: 0.977 loss/train: 0.0503     Train Epoch 4: 87%|███████████████████▏ | ETA: 0:00:03 (63.33 ms/it) accuracy/train: 0.992 loss/train: 0.0282     Train Epoch 4: 88%|███████████████████▎ | ETA: 0:00:03 (63.29 ms/it) accuracy/train: 0.992 loss/train: 0.0204     Train Epoch 4: 88%|███████████████████▍ | ETA: 0:00:03 (63.28 ms/it) accuracy/train: 1.0 loss/train: 0.0085     Train Epoch 4: 89%|███████████████████▌ | ETA: 0:00:03 (63.22 ms/it) accuracy/train: 1.0 loss/train: 0.00782     Train Epoch 4: 89%|███████████████████▋ | ETA: 0:00:02 (63.20 ms/it) accuracy/train: 1.0 loss/train: 0.0105     Train Epoch 4: 90%|███████████████████▊ | ETA: 0:00:02 (63.17 ms/it) accuracy/train: 1.0 loss/train: 0.0108     Train Epoch 4: 90%|███████████████████▊ | ETA: 0:00:02 (63.16 ms/it) accuracy/train: 0.984 loss/train: 0.0455     Train Epoch 4: 91%|███████████████████▉ | ETA: 0:00:02 (63.16 ms/it) accuracy/train: 1.0 loss/train: 0.0156     Train Epoch 4: 91%|████████████████████ | ETA: 0:00:02 (63.16 ms/it) accuracy/train: 1.0 loss/train: 0.0114     Train Epoch 4: 91%|████████████████████▏ | ETA: 0:00:02 (63.15 ms/it) accuracy/train: 0.984 loss/train: 0.0279     Train Epoch 4: 92%|████████████████████▎ | ETA: 0:00:02 (63.14 ms/it) accuracy/train: 1.0 loss/train: 0.0166     Train Epoch 4: 92%|████████████████████▍ | ETA: 0:00:02 (63.11 ms/it) accuracy/train: 1.0 loss/train: 0.0102     Train Epoch 4: 93%|████████████████████▍ | ETA: 0:00:01 (63.08 ms/it) accuracy/train: 0.977 loss/train: 0.0583     Train Epoch 4: 93%|████████████████████▌ | ETA: 0:00:01 (63.09 ms/it) accuracy/train: 0.992 loss/train: 0.0226     Train Epoch 4: 94%|████████████████████▋ | ETA: 0:00:01 (63.16 ms/it) accuracy/train: 0.984 loss/train: 0.0286     Train Epoch 4: 94%|████████████████████▊ | ETA: 0:00:01 (63.15 ms/it) accuracy/train: 1.0 loss/train: 0.0133     Train Epoch 4: 95%|████████████████████▉ | ETA: 0:00:01 (63.13 ms/it) accuracy/train: 1.0 loss/train: 0.00529     Train Epoch 4: 95%|█████████████████████ | ETA: 0:00:01 (63.12 ms/it) accuracy/train: 0.984 loss/train: 0.0443     Train Epoch 4: 96%|█████████████████████ | ETA: 0:00:01 (63.11 ms/it) accuracy/train: 1.0 loss/train: 0.0102     Train Epoch 4: 96%|█████████████████████▏| ETA: 0:00:01 (63.10 ms/it) accuracy/train: 1.0 loss/train: 0.00694     Train Epoch 4: 97%|█████████████████████▎| ETA: 0:00:00 (63.09 ms/it) accuracy/train: 1.0 loss/train: 0.00735     Train Epoch 4: 97%|█████████████████████▍| ETA: 0:00:00 (63.07 ms/it) accuracy/train: 0.992 loss/train: 0.014     Train Epoch 4: 98%|█████████████████████▌| ETA: 0:00:00 (63.06 ms/it) accuracy/train: 0.992 loss/train: 0.0258     Train Epoch 4: 98%|█████████████████████▋| ETA: 0:00:00 (63.04 ms/it) accuracy/train: 0.984 loss/train: 0.0647     Train Epoch 4: 99%|█████████████████████▋| ETA: 0:00:00 (63.02 ms/it) accuracy/train: 0.984 loss/train: 0.0679     Train Epoch 4: 99%|█████████████████████▊| ETA: 0:00:00 (63.04 ms/it) accuracy/train: 1.0 loss/train: 0.00225     Train Epoch 4: 100%|█████████████████████▉| ETA: 0:00:00 (63.02 ms/it) accuracy/train: 0.992 loss/train: 0.011     Train Epoch 4: 100%|██████████████████████| Time: 0:00:26 (63.00 ms/it) accuracy/train: 0.991 loss/train: 0.0187   Val Epoch 4: 30%|███████▏ | ETA: 0:00:00 ( 7.42 ms/it) accuracy/val: 0.978 loss/val: 0.0828        Val Epoch 4: 62%|██████████████▊ | ETA: 0:00:00 ( 7.29 ms/it) accuracy/val: 0.978 loss/val: 0.0801        Val Epoch 4: 94%|██████████████████████▌ | ETA: 0:00:00 ( 7.25 ms/it) accuracy/val: 0.98 loss/val: 0.0714        Val Epoch 4: 100%|████████████████████████| Time: 0:00:00 ( 7.23 ms/it) accuracy/val: 0.98 loss/val: 0.0706      Train Epoch 5: 0%|▏ | ETA: 0:00:25 (61.19 ms/it) accuracy/train: 0.992 loss/train: 0.012     Train Epoch 5: 1%|▎ | ETA: 0:00:25 (60.66 ms/it) accuracy/train: 0.992 loss/train: 0.0437     Train Epoch 5: 1%|▍ | ETA: 0:00:25 (60.25 ms/it) accuracy/train: 1.0 loss/train: 0.00192     Train Epoch 5: 2%|▍ | ETA: 0:00:25 (60.47 ms/it) accuracy/train: 1.0 loss/train: 0.0169     Train Epoch 5: 2%|▌ | ETA: 0:00:24 (60.60 ms/it) accuracy/train: 1.0 loss/train: 0.0086     Train Epoch 5: 3%|▋ | ETA: 0:00:24 (60.48 ms/it) accuracy/train: 1.0 loss/train: 0.00808     Train Epoch 5: 3%|▊ | ETA: 0:00:24 (60.81 ms/it) accuracy/train: 0.992 loss/train: 0.03     Train Epoch 5: 4%|▉ | ETA: 0:00:24 (60.07 ms/it) accuracy/train: 0.992 loss/train: 0.00872     Train Epoch 5: 4%|█ | ETA: 0:00:24 (59.49 ms/it) accuracy/train: 0.984 loss/train: 0.0293     Train Epoch 5: 5%|█ | ETA: 0:00:23 (59.07 ms/it) accuracy/train: 0.992 loss/train: 0.0294     Train Epoch 5: 5%|█▏ | ETA: 0:00:23 (58.71 ms/it) accuracy/train: 1.0 loss/train: 0.0169     Train Epoch 5: 6%|█▎ | ETA: 0:00:23 (58.41 ms/it) accuracy/train: 1.0 loss/train: 0.011     Train Epoch 5: 6%|█▍ | ETA: 0:00:23 (58.12 ms/it) accuracy/train: 1.0 loss/train: 0.00824     Train Epoch 5: 7%|█▌ | ETA: 0:00:22 (57.91 ms/it) accuracy/train: 1.0 loss/train: 0.00176     Train Epoch 5: 7%|█▋ | ETA: 0:00:22 (57.76 ms/it) accuracy/train: 1.0 loss/train: 0.00932     Train Epoch 5: 8%|█▋ | ETA: 0:00:22 (57.61 ms/it) accuracy/train: 1.0 loss/train: 0.0124     Train Epoch 5: 8%|█▊ | ETA: 0:00:22 (57.45 ms/it) accuracy/train: 0.992 loss/train: 0.027     Train Epoch 5: 9%|█▉ | ETA: 0:00:22 (57.41 ms/it) accuracy/train: 1.0 loss/train: 0.00404     Train Epoch 5: 9%|██ | ETA: 0:00:21 (57.27 ms/it) accuracy/train: 0.992 loss/train: 0.0251     Train Epoch 5: 9%|██▏ | ETA: 0:00:21 (57.16 ms/it) accuracy/train: 0.992 loss/train: 0.0327     Train Epoch 5: 10%|██▎ | ETA: 0:00:21 (57.15 ms/it) accuracy/train: 0.992 loss/train: 0.0352     Train Epoch 5: 10%|██▎ | ETA: 0:00:21 (57.17 ms/it) accuracy/train: 0.984 loss/train: 0.0586     Train Epoch 5: 11%|██▍ | ETA: 0:00:21 (57.57 ms/it) accuracy/train: 0.992 loss/train: 0.0178     Train Epoch 5: 11%|██▌ | ETA: 0:00:21 (57.69 ms/it) accuracy/train: 0.992 loss/train: 0.015     Train Epoch 5: 12%|██▋ | ETA: 0:00:21 (57.81 ms/it) accuracy/train: 1.0 loss/train: 0.0109     Train Epoch 5: 12%|██▊ | ETA: 0:00:21 (57.85 ms/it) accuracy/train: 0.984 loss/train: 0.055     Train Epoch 5: 13%|██▉ | ETA: 0:00:21 (57.66 ms/it) accuracy/train: 0.992 loss/train: 0.0201     Train Epoch 5: 13%|██▉ | ETA: 0:00:21 (57.63 ms/it) accuracy/train: 1.0 loss/train: 0.00585     Train Epoch 5: 14%|███ | ETA: 0:00:20 (57.67 ms/it) accuracy/train: 0.992 loss/train: 0.0153     Train Epoch 5: 14%|███▏ | ETA: 0:00:20 (57.79 ms/it) accuracy/train: 1.0 loss/train: 0.0118     Train Epoch 5: 15%|███▎ | ETA: 0:00:20 (57.86 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 5: 15%|███▍ | ETA: 0:00:20 (57.92 ms/it) accuracy/train: 1.0 loss/train: 0.005     Train Epoch 5: 16%|███▌ | ETA: 0:00:20 (57.95 ms/it) accuracy/train: 1.0 loss/train: 0.0125     Train Epoch 5: 16%|███▌ | ETA: 0:00:20 (57.92 ms/it) accuracy/train: 0.992 loss/train: 0.0215     Train Epoch 5: 17%|███▋ | ETA: 0:00:20 (57.88 ms/it) accuracy/train: 0.992 loss/train: 0.0288     Train Epoch 5: 17%|███▊ | ETA: 0:00:20 (58.00 ms/it) accuracy/train: 0.992 loss/train: 0.0314     Train Epoch 5: 18%|███▉ | ETA: 0:00:20 (57.93 ms/it) accuracy/train: 0.992 loss/train: 0.0152     Train Epoch 5: 18%|████ | ETA: 0:00:20 (57.87 ms/it) accuracy/train: 1.0 loss/train: 0.00413     Train Epoch 5: 18%|████▏ | ETA: 0:00:19 (57.86 ms/it) accuracy/train: 0.992 loss/train: 0.0485     Train Epoch 5: 19%|████▏ | ETA: 0:00:19 (57.86 ms/it) accuracy/train: 0.984 loss/train: 0.035     Train Epoch 5: 19%|████▎ | ETA: 0:00:19 (57.83 ms/it) accuracy/train: 0.984 loss/train: 0.0578     Train Epoch 5: 20%|████▍ | ETA: 0:00:19 (57.83 ms/it) accuracy/train: 1.0 loss/train: 0.00355     Train Epoch 5: 20%|████▌ | ETA: 0:00:19 (57.90 ms/it) accuracy/train: 1.0 loss/train: 0.0101     Train Epoch 5: 21%|████▋ | ETA: 0:00:19 (57.87 ms/it) accuracy/train: 1.0 loss/train: 0.0109     Train Epoch 5: 21%|████▊ | ETA: 0:00:19 (57.83 ms/it) accuracy/train: 1.0 loss/train: 0.00131     Train Epoch 5: 22%|████▊ | ETA: 0:00:19 (57.85 ms/it) accuracy/train: 1.0 loss/train: 0.0104     Train Epoch 5: 22%|████▉ | ETA: 0:00:18 (57.85 ms/it) accuracy/train: 1.0 loss/train: 0.0083     Train Epoch 5: 23%|█████ | ETA: 0:00:18 (57.81 ms/it) accuracy/train: 1.0 loss/train: 0.00798     Train Epoch 5: 23%|█████▏ | ETA: 0:00:18 (57.76 ms/it) accuracy/train: 0.992 loss/train: 0.0173     Train Epoch 5: 24%|█████▎ | ETA: 0:00:18 (57.73 ms/it) accuracy/train: 1.0 loss/train: 0.00879     Train Epoch 5: 24%|█████▍ | ETA: 0:00:18 (57.70 ms/it) accuracy/train: 1.0 loss/train: 0.0102     Train Epoch 5: 25%|█████▍ | ETA: 0:00:18 (57.68 ms/it) accuracy/train: 1.0 loss/train: 0.0157     Train Epoch 5: 25%|█████▌ | ETA: 0:00:18 (57.64 ms/it) accuracy/train: 1.0 loss/train: 0.00835     Train Epoch 5: 26%|█████▋ | ETA: 0:00:18 (57.64 ms/it) accuracy/train: 1.0 loss/train: 0.00404     Train Epoch 5: 26%|█████▊ | ETA: 0:00:17 (57.61 ms/it) accuracy/train: 1.0 loss/train: 0.00999     Train Epoch 5: 27%|█████▉ | ETA: 0:00:17 (57.59 ms/it) accuracy/train: 1.0 loss/train: 0.0117     Train Epoch 5: 27%|██████ | ETA: 0:00:17 (57.63 ms/it) accuracy/train: 1.0 loss/train: 0.0069     Train Epoch 5: 27%|██████ | ETA: 0:00:17 (57.83 ms/it) accuracy/train: 1.0 loss/train: 0.00875     Train Epoch 5: 28%|██████▏ | ETA: 0:00:17 (57.86 ms/it) accuracy/train: 1.0 loss/train: 0.0101     Train Epoch 5: 28%|██████▎ | ETA: 0:00:17 (57.90 ms/it) accuracy/train: 1.0 loss/train: 0.00932     Train Epoch 5: 29%|██████▍ | ETA: 0:00:17 (57.94 ms/it) accuracy/train: 0.984 loss/train: 0.0532     Train Epoch 5: 29%|██████▌ | ETA: 0:00:17 (57.95 ms/it) accuracy/train: 1.0 loss/train: 0.00752     Train Epoch 5: 30%|██████▋ | ETA: 0:00:17 (58.00 ms/it) accuracy/train: 1.0 loss/train: 0.00236     Train Epoch 5: 30%|██████▋ | ETA: 0:00:17 (58.02 ms/it) accuracy/train: 0.992 loss/train: 0.0476     Train Epoch 5: 31%|██████▊ | ETA: 0:00:16 (58.07 ms/it) accuracy/train: 0.984 loss/train: 0.0375     Train Epoch 5: 31%|██████▉ | ETA: 0:00:16 (58.10 ms/it) accuracy/train: 0.992 loss/train: 0.0185     Train Epoch 5: 32%|███████ | ETA: 0:00:16 (58.11 ms/it) accuracy/train: 0.992 loss/train: 0.0122     Train Epoch 5: 32%|███████▏ | ETA: 0:00:16 (58.19 ms/it) accuracy/train: 0.992 loss/train: 0.0122     Train Epoch 5: 33%|███████▎ | ETA: 0:00:16 (58.18 ms/it) accuracy/train: 1.0 loss/train: 0.00989     Train Epoch 5: 33%|███████▎ | ETA: 0:00:16 (58.22 ms/it) accuracy/train: 1.0 loss/train: 0.00305     Train Epoch 5: 34%|███████▍ | ETA: 0:00:16 (58.26 ms/it) accuracy/train: 1.0 loss/train: 0.00943     Train Epoch 5: 34%|███████▌ | ETA: 0:00:16 (58.24 ms/it) accuracy/train: 1.0 loss/train: 0.00942     Train Epoch 5: 35%|███████▋ | ETA: 0:00:16 (58.27 ms/it) accuracy/train: 1.0 loss/train: 0.00948     Train Epoch 5: 35%|███████▊ | ETA: 0:00:15 (58.29 ms/it) accuracy/train: 1.0 loss/train: 0.00971     Train Epoch 5: 36%|███████▉ | ETA: 0:00:15 (58.27 ms/it) accuracy/train: 0.992 loss/train: 0.0202     Train Epoch 5: 36%|███████▉ | ETA: 0:00:15 (58.33 ms/it) accuracy/train: 0.984 loss/train: 0.0425     Train Epoch 5: 36%|████████ | ETA: 0:00:15 (58.32 ms/it) accuracy/train: 0.984 loss/train: 0.027     Train Epoch 5: 37%|████████▏ | ETA: 0:00:15 (58.32 ms/it) accuracy/train: 1.0 loss/train: 0.0077     Train Epoch 5: 37%|████████▎ | ETA: 0:00:15 (58.31 ms/it) accuracy/train: 1.0 loss/train: 0.0104     Train Epoch 5: 38%|████████▍ | ETA: 0:00:15 (58.36 ms/it) accuracy/train: 0.992 loss/train: 0.0259     Train Epoch 5: 38%|████████▌ | ETA: 0:00:15 (58.39 ms/it) accuracy/train: 0.984 loss/train: 0.0331     Train Epoch 5: 39%|████████▌ | ETA: 0:00:15 (58.39 ms/it) accuracy/train: 0.992 loss/train: 0.0106     Train Epoch 5: 39%|████████▋ | ETA: 0:00:14 (58.41 ms/it) accuracy/train: 1.0 loss/train: 0.0209     Train Epoch 5: 40%|████████▊ | ETA: 0:00:14 (58.40 ms/it) accuracy/train: 1.0 loss/train: 0.00532     Train Epoch 5: 40%|████████▉ | ETA: 0:00:14 (58.40 ms/it) accuracy/train: 1.0 loss/train: 0.0124     Train Epoch 5: 41%|█████████ | ETA: 0:00:14 (58.42 ms/it) accuracy/train: 1.0 loss/train: 0.0124     Train Epoch 5: 41%|█████████▏ | ETA: 0:00:14 (58.45 ms/it) accuracy/train: 1.0 loss/train: 0.00431     Train Epoch 5: 42%|█████████▏ | ETA: 0:00:14 (58.45 ms/it) accuracy/train: 1.0 loss/train: 0.00901     Train Epoch 5: 42%|█████████▎ | ETA: 0:00:14 (58.45 ms/it) accuracy/train: 1.0 loss/train: 0.00588     Train Epoch 5: 43%|█████████▍ | ETA: 0:00:14 (58.44 ms/it) accuracy/train: 0.992 loss/train: 0.0456     Train Epoch 5: 43%|█████████▌ | ETA: 0:00:14 (58.47 ms/it) accuracy/train: 0.992 loss/train: 0.0355     Train Epoch 5: 44%|█████████▋ | ETA: 0:00:13 (58.49 ms/it) accuracy/train: 1.0 loss/train: 0.00726     Train Epoch 5: 44%|█████████▊ | ETA: 0:00:13 (58.50 ms/it) accuracy/train: 0.992 loss/train: 0.0164     Train Epoch 5: 45%|█████████▊ | ETA: 0:00:13 (58.50 ms/it) accuracy/train: 0.984 loss/train: 0.0477     Train Epoch 5: 45%|█████████▉ | ETA: 0:00:13 (58.51 ms/it) accuracy/train: 1.0 loss/train: 0.0057     Train Epoch 5: 45%|██████████ | ETA: 0:00:13 (58.55 ms/it) accuracy/train: 1.0 loss/train: 0.0139     Train Epoch 5: 46%|██████████▏ | ETA: 0:00:13 (58.55 ms/it) accuracy/train: 1.0 loss/train: 0.00965     Train Epoch 5: 46%|██████████▎ | ETA: 0:00:13 (58.55 ms/it) accuracy/train: 0.992 loss/train: 0.021     Train Epoch 5: 47%|██████████▍ | ETA: 0:00:13 (58.56 ms/it) accuracy/train: 1.0 loss/train: 0.00638     Train Epoch 5: 47%|██████████▍ | ETA: 0:00:13 (58.56 ms/it) accuracy/train: 1.0 loss/train: 0.0136     Train Epoch 5: 48%|██████████▌ | ETA: 0:00:12 (58.58 ms/it) accuracy/train: 0.984 loss/train: 0.0216     Train Epoch 5: 48%|██████████▋ | ETA: 0:00:12 (58.58 ms/it) accuracy/train: 0.984 loss/train: 0.0355     Train Epoch 5: 49%|██████████▊ | ETA: 0:00:12 (58.59 ms/it) accuracy/train: 1.0 loss/train: 0.0217     Train Epoch 5: 49%|██████████▉ | ETA: 0:00:12 (58.61 ms/it) accuracy/train: 1.0 loss/train: 0.00568     Train Epoch 5: 50%|███████████ | ETA: 0:00:12 (58.62 ms/it) accuracy/train: 0.992 loss/train: 0.0603     Train Epoch 5: 50%|███████████ | ETA: 0:00:12 (58.62 ms/it) accuracy/train: 0.992 loss/train: 0.0187     Train Epoch 5: 51%|███████████▏ | ETA: 0:00:12 (58.63 ms/it) accuracy/train: 0.992 loss/train: 0.041     Train Epoch 5: 51%|███████████▎ | ETA: 0:00:12 (58.64 ms/it) accuracy/train: 0.984 loss/train: 0.0277     Train Epoch 5: 52%|███████████▍ | ETA: 0:00:11 (58.70 ms/it) accuracy/train: 1.0 loss/train: 0.00561     Train Epoch 5: 52%|███████████▌ | ETA: 0:00:11 (58.70 ms/it) accuracy/train: 0.992 loss/train: 0.0151     Train Epoch 5: 53%|███████████▋ | ETA: 0:00:11 (58.73 ms/it) accuracy/train: 1.0 loss/train: 0.00959     Train Epoch 5: 53%|███████████▋ | ETA: 0:00:11 (58.74 ms/it) accuracy/train: 1.0 loss/train: 0.0181     Train Epoch 5: 54%|███████████▊ | ETA: 0:00:11 (58.74 ms/it) accuracy/train: 1.0 loss/train: 0.0137     Train Epoch 5: 54%|███████████▉ | ETA: 0:00:11 (58.84 ms/it) accuracy/train: 1.0 loss/train: 0.0105     Train Epoch 5: 55%|████████████ | ETA: 0:00:11 (58.95 ms/it) accuracy/train: 1.0 loss/train: 0.00898     Train Epoch 5: 55%|████████████▏ | ETA: 0:00:11 (59.06 ms/it) accuracy/train: 1.0 loss/train: 0.00911     Train Epoch 5: 55%|████████████▎ | ETA: 0:00:11 (59.14 ms/it) accuracy/train: 1.0 loss/train: 0.00707     Train Epoch 5: 56%|████████████▎ | ETA: 0:00:11 (59.15 ms/it) accuracy/train: 0.984 loss/train: 0.0203     Train Epoch 5: 56%|████████████▍ | ETA: 0:00:10 (59.11 ms/it) accuracy/train: 1.0 loss/train: 0.0195     Train Epoch 5: 57%|████████████▌ | ETA: 0:00:10 (59.11 ms/it) accuracy/train: 1.0 loss/train: 0.0126     Train Epoch 5: 57%|████████████▋ | ETA: 0:00:10 (59.13 ms/it) accuracy/train: 1.0 loss/train: 0.00934     Train Epoch 5: 58%|████████████▊ | ETA: 0:00:10 (59.15 ms/it) accuracy/train: 1.0 loss/train: 0.00843     Train Epoch 5: 58%|████████████▉ | ETA: 0:00:10 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.00706     Train Epoch 5: 59%|████████████▉ | ETA: 0:00:10 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.00629     Train Epoch 5: 59%|█████████████ | ETA: 0:00:10 (59.14 ms/it) accuracy/train: 0.992 loss/train: 0.0486     Train Epoch 5: 60%|█████████████▏ | ETA: 0:00:10 (59.13 ms/it) accuracy/train: 0.984 loss/train: 0.0455     Train Epoch 5: 60%|█████████████▎ | ETA: 0:00:09 (59.15 ms/it) accuracy/train: 1.0 loss/train: 0.0148     Train Epoch 5: 61%|█████████████▍ | ETA: 0:00:09 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.00412     Train Epoch 5: 61%|█████████████▌ | ETA: 0:00:09 (59.17 ms/it) accuracy/train: 0.992 loss/train: 0.0326     Train Epoch 5: 62%|█████████████▌ | ETA: 0:00:09 (59.20 ms/it) accuracy/train: 1.0 loss/train: 0.00786     Train Epoch 5: 62%|█████████████▋ | ETA: 0:00:09 (59.18 ms/it) accuracy/train: 0.992 loss/train: 0.0166     Train Epoch 5: 63%|█████████████▊ | ETA: 0:00:09 (59.17 ms/it) accuracy/train: 1.0 loss/train: 0.00502     Train Epoch 5: 63%|█████████████▉ | ETA: 0:00:09 (59.17 ms/it) accuracy/train: 1.0 loss/train: 0.00537     Train Epoch 5: 64%|██████████████ | ETA: 0:00:09 (59.18 ms/it) accuracy/train: 0.992 loss/train: 0.013     Train Epoch 5: 64%|██████████████▏ | ETA: 0:00:08 (59.20 ms/it) accuracy/train: 1.0 loss/train: 0.0113     Train Epoch 5: 64%|██████████████▏ | ETA: 0:00:08 (59.21 ms/it) accuracy/train: 1.0 loss/train: 0.00207     Train Epoch 5: 65%|██████████████▎ | ETA: 0:00:08 (59.23 ms/it) accuracy/train: 1.0 loss/train: 0.0113     Train Epoch 5: 65%|██████████████▍ | ETA: 0:00:08 (59.28 ms/it) accuracy/train: 0.984 loss/train: 0.0358     Train Epoch 5: 66%|██████████████▌ | ETA: 0:00:08 (59.28 ms/it) accuracy/train: 1.0 loss/train: 0.00506     Train Epoch 5: 66%|██████████████▋ | ETA: 0:00:08 (59.24 ms/it) accuracy/train: 1.0 loss/train: 0.00464     Train Epoch 5: 67%|██████████████▊ | ETA: 0:00:08 (59.25 ms/it) accuracy/train: 1.0 loss/train: 0.0191     Train Epoch 5: 67%|██████████████▊ | ETA: 0:00:08 (59.24 ms/it) accuracy/train: 0.992 loss/train: 0.0217     Train Epoch 5: 68%|██████████████▉ | ETA: 0:00:08 (59.21 ms/it) accuracy/train: 1.0 loss/train: 0.00948     Train Epoch 5: 68%|███████████████ | ETA: 0:00:07 (59.18 ms/it) accuracy/train: 0.992 loss/train: 0.0237     Train Epoch 5: 69%|███████████████▏ | ETA: 0:00:07 (59.15 ms/it) accuracy/train: 0.992 loss/train: 0.0294     Train Epoch 5: 69%|███████████████▎ | ETA: 0:00:07 (59.18 ms/it) accuracy/train: 0.992 loss/train: 0.021     Train Epoch 5: 70%|███████████████▍ | ETA: 0:00:07 (59.24 ms/it) accuracy/train: 1.0 loss/train: 0.00994     Train Epoch 5: 70%|███████████████▍ | ETA: 0:00:07 (59.21 ms/it) accuracy/train: 0.992 loss/train: 0.024     Train Epoch 5: 71%|███████████████▌ | ETA: 0:00:07 (59.18 ms/it) accuracy/train: 1.0 loss/train: 0.00945     Train Epoch 5: 71%|███████████████▋ | ETA: 0:00:07 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.0149     Train Epoch 5: 72%|███████████████▊ | ETA: 0:00:07 (59.14 ms/it) accuracy/train: 1.0 loss/train: 0.00879     Train Epoch 5: 72%|███████████████▉ | ETA: 0:00:06 (59.13 ms/it) accuracy/train: 0.992 loss/train: 0.024     Train Epoch 5: 73%|████████████████ | ETA: 0:00:06 (59.13 ms/it) accuracy/train: 0.984 loss/train: 0.0209     Train Epoch 5: 73%|████████████████ | ETA: 0:00:06 (59.14 ms/it) accuracy/train: 1.0 loss/train: 0.0124     Train Epoch 5: 73%|████████████████▏ | ETA: 0:00:06 (59.14 ms/it) accuracy/train: 0.992 loss/train: 0.0177     Train Epoch 5: 74%|████████████████▎ | ETA: 0:00:06 (59.14 ms/it) accuracy/train: 0.992 loss/train: 0.0287     Train Epoch 5: 74%|████████████████▍ | ETA: 0:00:06 (59.15 ms/it) accuracy/train: 1.0 loss/train: 0.00645     Train Epoch 5: 75%|████████████████▌ | ETA: 0:00:06 (59.15 ms/it) accuracy/train: 0.992 loss/train: 0.0156     Train Epoch 5: 75%|████████████████▋ | ETA: 0:00:06 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.0115     Train Epoch 5: 76%|████████████████▋ | ETA: 0:00:06 (59.16 ms/it) accuracy/train: 1.0 loss/train: 0.00938     Train Epoch 5: 76%|████████████████▊ | ETA: 0:00:05 (59.17 ms/it) accuracy/train: 0.984 loss/train: 0.0283     Train Epoch 5: 77%|████████████████▉ | ETA: 0:00:05 (59.19 ms/it) accuracy/train: 0.977 loss/train: 0.0835     Train Epoch 5: 77%|█████████████████ | ETA: 0:00:05 (59.18 ms/it) accuracy/train: 0.992 loss/train: 0.0466     Train Epoch 5: 78%|█████████████████▏ | ETA: 0:00:05 (59.18 ms/it) accuracy/train: 1.0 loss/train: 0.021     Train Epoch 5: 78%|█████████████████▎ | ETA: 0:00:05 (59.19 ms/it) accuracy/train: 0.992 loss/train: 0.0259     Train Epoch 5: 79%|█████████████████▎ | ETA: 0:00:05 (59.19 ms/it) accuracy/train: 1.0 loss/train: 0.00578     Train Epoch 5: 79%|█████████████████▍ | ETA: 0:00:05 (59.20 ms/it) accuracy/train: 1.0 loss/train: 0.0103     Train Epoch 5: 80%|█████████████████▌ | ETA: 0:00:05 (59.20 ms/it) accuracy/train: 1.0 loss/train: 0.0156     Train Epoch 5: 80%|█████████████████▋ | ETA: 0:00:04 (59.25 ms/it) accuracy/train: 0.992 loss/train: 0.0177     Train Epoch 5: 81%|█████████████████▊ | ETA: 0:00:04 (59.31 ms/it) accuracy/train: 0.992 loss/train: 0.0286     Train Epoch 5: 81%|█████████████████▉ | ETA: 0:00:04 (59.38 ms/it) accuracy/train: 0.992 loss/train: 0.0386     Train Epoch 5: 82%|█████████████████▉ | ETA: 0:00:04 (59.45 ms/it) accuracy/train: 0.992 loss/train: 0.0302     Train Epoch 5: 82%|██████████████████ | ETA: 0:00:04 (59.44 ms/it) accuracy/train: 1.0 loss/train: 0.00574     Train Epoch 5: 82%|██████████████████▏ | ETA: 0:00:04 (59.46 ms/it) accuracy/train: 1.0 loss/train: 0.00993     Train Epoch 5: 83%|██████████████████▎ | ETA: 0:00:04 (59.45 ms/it) accuracy/train: 0.992 loss/train: 0.0359     Train Epoch 5: 83%|██████████████████▍ | ETA: 0:00:04 (59.44 ms/it) accuracy/train: 0.984 loss/train: 0.0536     Train Epoch 5: 84%|██████████████████▌ | ETA: 0:00:04 (59.42 ms/it) accuracy/train: 1.0 loss/train: 0.0109     Train Epoch 5: 84%|██████████████████▌ | ETA: 0:00:03 (59.51 ms/it) accuracy/train: 0.992 loss/train: 0.017     Train Epoch 5: 85%|██████████████████▋ | ETA: 0:00:03 (59.48 ms/it) accuracy/train: 0.992 loss/train: 0.0263     Train Epoch 5: 85%|██████████████████▊ | ETA: 0:00:03 (59.49 ms/it) accuracy/train: 1.0 loss/train: 0.0104     Train Epoch 5: 86%|██████████████████▉ | ETA: 0:00:03 (59.48 ms/it) accuracy/train: 0.984 loss/train: 0.0206     Train Epoch 5: 86%|███████████████████ | ETA: 0:00:03 (59.46 ms/it) accuracy/train: 0.992 loss/train: 0.0449     Train Epoch 5: 87%|███████████████████▏ | ETA: 0:00:03 (59.45 ms/it) accuracy/train: 0.992 loss/train: 0.0246     Train Epoch 5: 87%|███████████████████▏ | ETA: 0:00:03 (59.43 ms/it) accuracy/train: 1.0 loss/train: 0.0143     Train Epoch 5: 88%|███████████████████▎ | ETA: 0:00:03 (59.47 ms/it) accuracy/train: 1.0 loss/train: 0.0114     Train Epoch 5: 88%|███████████████████▍ | ETA: 0:00:02 (59.45 ms/it) accuracy/train: 1.0 loss/train: 0.0115     Train Epoch 5: 89%|███████████████████▌ | ETA: 0:00:02 (59.43 ms/it) accuracy/train: 1.0 loss/train: 0.00593     Train Epoch 5: 89%|███████████████████▋ | ETA: 0:00:02 (59.44 ms/it) accuracy/train: 0.984 loss/train: 0.034     Train Epoch 5: 90%|███████████████████▊ | ETA: 0:00:02 (59.49 ms/it) accuracy/train: 1.0 loss/train: 0.0152     Train Epoch 5: 90%|███████████████████▊ | ETA: 0:00:02 (59.50 ms/it) accuracy/train: 1.0 loss/train: 0.00268     Train Epoch 5: 91%|███████████████████▉ | ETA: 0:00:02 (59.49 ms/it) accuracy/train: 0.977 loss/train: 0.094     Train Epoch 5: 91%|████████████████████ | ETA: 0:00:02 (59.49 ms/it) accuracy/train: 1.0 loss/train: 0.00959     Train Epoch 5: 91%|████████████████████▏ | ETA: 0:00:02 (59.50 ms/it) accuracy/train: 0.992 loss/train: 0.0182     Train Epoch 5: 92%|████████████████████▎ | ETA: 0:00:02 (59.49 ms/it) accuracy/train: 0.992 loss/train: 0.0145     Train Epoch 5: 92%|████████████████████▍ | ETA: 0:00:01 (59.48 ms/it) accuracy/train: 0.984 loss/train: 0.0577     Train Epoch 5: 93%|████████████████████▍ | ETA: 0:00:01 (59.46 ms/it) accuracy/train: 0.992 loss/train: 0.048     Train Epoch 5: 93%|████████████████████▌ | ETA: 0:00:01 (59.45 ms/it) accuracy/train: 1.0 loss/train: 0.00663     Train Epoch 5: 94%|████████████████████▋ | ETA: 0:00:01 (59.44 ms/it) accuracy/train: 1.0 loss/train: 0.00717     Train Epoch 5: 94%|████████████████████▊ | ETA: 0:00:01 (59.42 ms/it) accuracy/train: 0.984 loss/train: 0.0306     Train Epoch 5: 95%|████████████████████▉ | ETA: 0:00:01 (59.40 ms/it) accuracy/train: 1.0 loss/train: 0.00596     Train Epoch 5: 95%|█████████████████████ | ETA: 0:00:01 (59.38 ms/it) accuracy/train: 0.992 loss/train: 0.0174     Train Epoch 5: 96%|█████████████████████ | ETA: 0:00:01 (59.36 ms/it) accuracy/train: 1.0 loss/train: 0.0151     Train Epoch 5: 96%|█████████████████████▏| ETA: 0:00:00 (59.36 ms/it) accuracy/train: 0.992 loss/train: 0.0278     Train Epoch 5: 97%|█████████████████████▎| ETA: 0:00:00 (59.34 ms/it) accuracy/train: 0.992 loss/train: 0.0392     Train Epoch 5: 97%|█████████████████████▍| ETA: 0:00:00 (59.32 ms/it) accuracy/train: 0.984 loss/train: 0.0363     Train Epoch 5: 98%|█████████████████████▌| ETA: 0:00:00 (59.31 ms/it) accuracy/train: 1.0 loss/train: 0.00532     Train Epoch 5: 98%|█████████████████████▋| ETA: 0:00:00 (59.30 ms/it) accuracy/train: 0.992 loss/train: 0.0164     Train Epoch 5: 99%|█████████████████████▋| ETA: 0:00:00 (59.30 ms/it) accuracy/train: 1.0 loss/train: 0.00853     Train Epoch 5: 99%|█████████████████████▊| ETA: 0:00:00 (59.28 ms/it) accuracy/train: 1.0 loss/train: 0.00987     Train Epoch 5: 100%|█████████████████████▉| ETA: 0:00:00 (59.28 ms/it) accuracy/train: 1.0 loss/train: 0.0104     Train Epoch 5: 100%|██████████████████████| Time: 0:00:25 (59.27 ms/it) accuracy/train: 0.991 loss/train: 0.0188 Val Epoch 5: 32%|███████▋ | ETA: 0:00:00 ( 6.98 ms/it) accuracy/val: 0.981 loss/val: 0.0766     Val Epoch 5: 64%|███████████████▍ | ETA: 0:00:00 ( 6.90 ms/it) accuracy/val: 0.982 loss/val: 0.0742     Val Epoch 5: 100%|████████████████████████| Time: 0:00:00 ( 6.61 ms/it) accuracy/val: 0.982 loss/val: 0.0687 Testing: 3%|▊ | ETA: 0:00:09 ( 0.13 s/it) accuracy/test: 0.988 loss/test: 0.0451     Testing: 23%|██████▍ | ETA: 0:00:01 (19.83 ms/it) accuracy/test: 0.974 loss/test: 0.0884     Testing: 43%|████████████ | ETA: 0:00:00 (14.32 ms/it) accuracy/test: 0.974 loss/test: 0.0922     Testing: 63%|█████████████████▊ | ETA: 0:00:00 (11.80 ms/it) accuracy/test: 0.978 loss/test: 0.0802     Testing: 85%|███████████████████████▊ | ETA: 0:00:00 (10.40 ms/it) accuracy/test: 0.982 loss/test: 0.0687     Testing: 100%|████████████████████████████| Time: 0:00:00 ( 9.73 ms/it) accuracy/test: 0.982 loss/test: 0.0671 Test Summary: | Total Time Examples | 0 7m34.0s Testing Tsunami tests passed Testing completed after 1955.05s PkgEval succeeded after 2660.02s