KUSOV4SZDQTEZAIBVRC25HUZX6R3JGGSCGSWVV4K7TB4N7LOGPTQC
train("DFMN1-5", 20, images, model)
train("DFMN1-5_Pomona", 20, images, model)
[ Info: Epoch: 7
┌ Info: train
└ accuracy = 0.9098
┌ Info: train
│ train_confusion_matrix =
│ 4×4 Matrix{Int64}:
│ 779 18 86 17
│ 21 852 68 39
│ 94 76 6086 144
└ 11 69 362 2414
28.936706 seconds (1.38 M allocations: 28.181 GiB, 14.27% gc time)
┌ Info: test
└ accuracy = 0.9063
┌ Info: test
│ test_confusion_matrix =
│ 4×4 Matrix{Int64}:
│ 747 10 95 15
│ 15 858 65 51
│ 99 59 5964 173
└ 9 60 392 2524
[ Info: Saved a best_model
model = "/media/david/SSD2/model_DFMN1-5_CPU_epoch-9-0.9737-2024-10-25.jld2"
glob_pattern = "Pomona-*/Pomona/Clips_2024-11-27/"
model = "/media/david/SSD2/DFMN_Inge/model_DFMN1-5_CPU_epoch-9-0.9737-2024-10-25.jld2"
model = "/media/david/SSD2/DFMN_Pomona/model_DFMN1-5_Pomona_CPU_epoch-8-0.9078-2024-11-26.jld2"
[compat]
Images = "0.25.3"
deps = ["Artifacts", "Dates", "Downloads", "FileWatching", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "Random", "SHA", "TOML", "Tar", "UUIDs", "p7zip_jll"]
deps = ["Artifacts", "Dates", "Downloads", "FileWatching", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"]
deps = ["LinearAlgebra", "RecipesBase", "Requires", "Setfield", "SparseArrays"]
git-tree-sha1 = "1a9cfb2dc2c2f1bd63f1906d72af39a79b49b736"
deps = ["LinearAlgebra", "OrderedCollections", "RecipesBase", "Requires", "Setfield", "SparseArrays"]
git-tree-sha1 = "adc25dbd4d13f148f3256b6d4743fe7e63a71c4a"