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v2/model.pt

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+version https://git-lfs.github.com/spec/v1
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+size 17422074

v2/vocab.alphabet

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+ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"'`!^@#$%&.,?:;~-+*=_/\|[]{}()<> 

v3/8-aae-17_12_2024/model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e0f43a8232b0bfcd5cdecd21240e75ad82fe91855e4e55fb45bd26ddd24ac62e
+size 4504504

v3/8-laae-19_12_2024/log.txt

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+Namespace(alphabet=None, b1=0.5, b2=0.999, batch_size=16384, dim_d=512, dim_emb=64, dim_h=256, dim_z=64, dropout=0.3, epochs=20, lambda_adv=10.0, lambda_kl=0.0, lambda_p=0.1, load_model='', log_interval=100, lr=0.0005, max_len=8, model_type='aae', nlayers=1, no_cuda=False, noise=[0.0, 0.0, 0.0], save_dir='/mnt/hdd4/julia_dir/leo/pae/out/v3/8-laae-19_12_2024', train='/mnt/hdd4/julia_dir/leo/data/hashes.org-list/8/train.txt', valid='/mnt/hdd4/julia_dir/leo/data/hashes.org-list/8/valid.txt')
+# train on cuda device
+# vocab save /mnt/hdd4/julia_dir/leo/pae/out/v3/8-laae-19_12_2024/vocab.alphabet
+# 168000000 train passwords was loaded
+# 42553894 valid passwords was loaded
+# model aae with parameters was init: 1124580
+--------------------------------------------------------------------------------
+| epoch   1 |   100/ 10254 batches | rec  33.27, adv  0.70, |lvar|  0.64, loss_d  1.41, loss  40.37,
+| epoch   1 |   200/ 10254 batches | rec  30.43, adv  0.71, |lvar|  0.51, loss_d  1.40, loss  37.54,
+| epoch   1 |   300/ 10254 batches | rec  28.55, adv  0.72, |lvar|  0.31, loss_d  1.38, loss  35.78,
+| epoch   1 |   400/ 10254 batches | rec  27.20, adv  0.74, |lvar|  0.45, loss_d  1.37, loss  34.63,
+| epoch   1 |   500/ 10254 batches | rec  25.98, adv  0.73, |lvar|  0.30, loss_d  1.36, loss  33.36,
+| epoch   1 |   600/ 10254 batches | rec  25.45, adv  0.75, |lvar|  0.50, loss_d  1.36, loss  32.95,
+| epoch   1 |   700/ 10254 batches | rec  24.91, adv  0.75, |lvar|  0.44, loss_d  1.35, loss  32.46,
+| epoch   1 |   800/ 10254 batches | rec  24.63, adv  0.75, |lvar|  0.42, loss_d  1.35, loss  32.18,
+| epoch   1 |   900/ 10254 batches | rec  24.41, adv  0.75, |lvar|  0.68, loss_d  1.35, loss  31.98,
+| epoch   1 |  1000/ 10254 batches | rec  24.27, adv  0.75, |lvar|  1.04, loss_d  1.36, loss  31.91,
+| epoch   1 |  1100/ 10254 batches | rec  24.11, adv  0.76, |lvar|  1.25, loss_d  1.35, loss  31.79,
+| epoch   1 |  1200/ 10254 batches | rec  23.96, adv  0.75, |lvar|  2.21, loss_d  1.36, loss  31.67,
+| epoch   1 |  1300/ 10254 batches | rec  23.73, adv  0.74, |lvar|  3.40, loss_d  1.36, loss  31.52,
+| epoch   1 |  1400/ 10254 batches | rec  23.47, adv  0.74, |lvar|  4.55, loss_d  1.37, loss  31.30,
+| epoch   1 |  1500/ 10254 batches | rec  23.34, adv  0.73, |lvar|  5.71, loss_d  1.38, loss  31.24,
+| epoch   1 |  1600/ 10254 batches | rec  22.74, adv  0.73, |lvar|  7.08, loss_d  1.38, loss  30.73,
+| epoch   1 |  1700/ 10254 batches | rec  22.14, adv  0.72, |lvar|  9.20, loss_d  1.38, loss  30.24,
+| epoch   1 |  1800/ 10254 batches | rec  22.55, adv  0.72, |lvar|  10.71, loss_d  1.38, loss  30.81,
+| epoch   1 |  1900/ 10254 batches | rec  21.01, adv  0.71, |lvar|  12.71, loss_d  1.38, loss  29.43,
+| epoch   1 |  2000/ 10254 batches | rec  20.41, adv  0.72, |lvar|  14.06, loss_d  1.37, loss  29.00,
+| epoch   1 |  2100/ 10254 batches | rec  19.82, adv  0.72, |lvar|  15.74, loss_d  1.37, loss  28.58,
+| epoch   1 |  2200/ 10254 batches | rec  19.24, adv  0.72, |lvar|  17.34, loss_d  1.37, loss  28.16,
+| epoch   1 |  2300/ 10254 batches | rec  18.77, adv  0.72, |lvar|  18.73, loss_d  1.37, loss  27.85,
+| epoch   1 |  2400/ 10254 batches | rec  18.37, adv  0.72, |lvar|  19.88, loss_d  1.37, loss  27.57,
+| epoch   1 |  2500/ 10254 batches | rec  18.06, adv  0.72, |lvar|  20.69, loss_d  1.37, loss  27.35,
+| epoch   1 |  2600/ 10254 batches | rec  17.65, adv  0.72, |lvar|  21.89, loss_d  1.37, loss  27.05,
+| epoch   1 |  2700/ 10254 batches | rec  17.16, adv  0.72, |lvar|  23.65, loss_d  1.38, loss  26.68,
+| epoch   1 |  2800/ 10254 batches | rec  16.70, adv  0.72, |lvar|  24.96, loss_d  1.38, loss  26.35,
+| epoch   1 |  2900/ 10254 batches | rec  16.16, adv  0.71, |lvar|  26.46, loss_d  1.38, loss  25.94,
+| epoch   1 |  3000/ 10254 batches | rec  16.29, adv  0.71, |lvar|  27.74, loss_d  1.38, loss  26.16,
+| epoch   1 |  3100/ 10254 batches | rec  15.18, adv  0.71, |lvar|  29.46, loss_d  1.38, loss  25.21,
+| epoch   1 |  3200/ 10254 batches | rec  14.78, adv  0.71, |lvar|  30.43, loss_d  1.38, loss  24.93,
+| epoch   1 |  3300/ 10254 batches | rec  14.34, adv  0.71, |lvar|  31.57, loss_d  1.38, loss  24.61,
+| epoch   1 |  3400/ 10254 batches | rec  14.04, adv  0.71, |lvar|  32.53, loss_d  1.38, loss  24.41,
+| epoch   1 |  3500/ 10254 batches | rec  13.73, adv  0.71, |lvar|  33.37, loss_d  1.38, loss  24.18,
+| epoch   1 |  3600/ 10254 batches | rec  13.45, adv  0.71, |lvar|  34.05, loss_d  1.38, loss  23.97,
+| epoch   1 |  3700/ 10254 batches | rec  13.17, adv  0.71, |lvar|  34.66, loss_d  1.37, loss  23.78,
+| epoch   1 |  3800/ 10254 batches | rec  12.96, adv  0.71, |lvar|  35.27, loss_d  1.37, loss  23.63,
+| epoch   1 |  3900/ 10254 batches | rec  12.75, adv  0.71, |lvar|  35.85, loss_d  1.37, loss  23.47,
+| epoch   1 |  4000/ 10254 batches | rec  12.54, adv  0.71, |lvar|  36.29, loss_d  1.37, loss  23.31,
+| epoch   1 |  4100/ 10254 batches | rec  12.36, adv  0.72, |lvar|  36.68, loss_d  1.37, loss  23.18,
+| epoch   1 |  4200/ 10254 batches | rec  12.16, adv  0.72, |lvar|  37.06, loss_d  1.37, loss  23.02,
+| epoch   1 |  4300/ 10254 batches | rec  12.02, adv  0.72, |lvar|  37.38, loss_d  1.37, loss  22.93,
+| epoch   1 |  4400/ 10254 batches | rec  11.87, adv  0.72, |lvar|  37.69, loss_d  1.37, loss  22.81,
+| epoch   1 |  4500/ 10254 batches | rec  11.75, adv  0.72, |lvar|  38.06, loss_d  1.37, loss  22.74,
+| epoch   1 |  4600/ 10254 batches | rec  11.60, adv  0.72, |lvar|  38.38, loss_d  1.37, loss  22.63,
+| epoch   1 |  4700/ 10254 batches | rec  11.50, adv  0.72, |lvar|  38.62, loss_d  1.37, loss  22.54,
+| epoch   1 |  4800/ 10254 batches | rec  11.36, adv  0.72, |lvar|  38.99, loss_d  1.37, loss  22.43,
+| epoch   1 |  4900/ 10254 batches | rec  11.26, adv  0.72, |lvar|  39.16, loss_d  1.37, loss  22.36,
+| epoch   1 |  5000/ 10254 batches | rec  11.13, adv  0.72, |lvar|  39.38, loss_d  1.37, loss  22.26,
+| epoch   1 |  5100/ 10254 batches | rec  11.00, adv  0.72, |lvar|  39.66, loss_d  1.37, loss  22.14,
+| epoch   1 |  5200/ 10254 batches | rec  10.93, adv  0.72, |lvar|  39.86, loss_d  1.37, loss  22.11,
+| epoch   1 |  5300/ 10254 batches | rec  10.86, adv  0.72, |lvar|  40.07, loss_d  1.37, loss  22.05,
+| epoch   1 |  5400/ 10254 batches | rec  10.68, adv  0.72, |lvar|  40.31, loss_d  1.37, loss  21.90,
+| epoch   1 |  5500/ 10254 batches | rec  10.63, adv  0.72, |lvar|  40.53, loss_d  1.37, loss  21.88,
+| epoch   1 |  5600/ 10254 batches | rec  10.52, adv  0.72, |lvar|  40.74, loss_d  1.37, loss  21.79,
+| epoch   1 |  5700/ 10254 batches | rec  10.47, adv  0.72, |lvar|  40.87, loss_d  1.37, loss  21.75,
+| epoch   1 |  5800/ 10254 batches | rec  10.38, adv  0.72, |lvar|  41.08, loss_d  1.37, loss  21.67,
+| epoch   1 |  5900/ 10254 batches | rec  10.25, adv  0.72, |lvar|  41.33, loss_d  1.37, loss  21.57,
+| epoch   1 |  6000/ 10254 batches | rec  10.22, adv  0.72, |lvar|  41.41, loss_d  1.37, loss  21.55,
+| epoch   1 |  6100/ 10254 batches | rec  10.13, adv  0.72, |lvar|  41.63, loss_d  1.37, loss  21.48,
+| epoch   1 |  6200/ 10254 batches | rec  10.05, adv  0.72, |lvar|  41.88, loss_d  1.37, loss  21.43,
+| epoch   1 |  6300/ 10254 batches | rec  9.93, adv  0.72, |lvar|  42.27, loss_d  1.37, loss  21.34,
+| epoch   1 |  6400/ 10254 batches | rec  9.74, adv  0.72, |lvar|  42.82, loss_d  1.37, loss  21.19,
+| epoch   1 |  6500/ 10254 batches | rec  9.57, adv  0.72, |lvar|  43.37, loss_d  1.37, loss  21.07,
+| epoch   1 |  6600/ 10254 batches | rec  9.40, adv  0.72, |lvar|  43.77, loss_d  1.37, loss  20.94,

v3/8-laae-19_12_2024/vocab.alphabet

@@ -0,0 +1 @@
+ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"'`!^@#$%&.,?:;~-+*=_/\|[]{}()<> 

v3/8-vae-17_12_2024/model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d5faed19d5e5175f4708b3e732ffe563ecc4052408273f772c3e64cd769a58
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