andrew-healey commited on
Commit
6a2802b
·
verified ·
1 Parent(s): c1ac8c5

Upload folder using huggingface_hub

Browse files
logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339/args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 264, "head_dim": 22, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": 4375, "warmup_steps": 250, "group": "fix_1_latent_mask", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "n_latent_masks", "selection_head_linear_combo_scale": 1.0, "protection_kind": "none", "leaky_relu_alpha": null, "leaky_relu_bias": null, "use_compile": true, "use_mini_model": false, "upload_to_hf": true, "seq_len": 256, "batch_size": 64, "total_batch_size": 131072, "protection_head_scaling_factor": 1.0, "protection_head_bias": 0.0, "n_sliced_masks": null, "n_latent_masks": 1, "init_latent_masks_to_identity": true, "latent_mask_scale": 0.125, "latent_mask_sigmoid": false, "S_layernorm": false, "mask_layernorm": false, "residual_attention_masks": false, "compute_base_shapes": false, "base_shapes_savefile": null, "mup": true, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": 0.003, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": "1_latent_mask_lr_30e-4_scale_0.125"}
logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339/dataloader_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ec6682852ed60a9d42cb4047300f65a04f87328c0ad7a4516be84d11b28f216
3
+ size 964
logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339/log2.txt ADDED
@@ -0,0 +1,529 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ max_steps: 4375
2
+ 0 val loss 11.2145
3
+ 0 val perplexity 74197.1016
4
+ 0 train 11.205517 (lr=4.1958e-06) (hash(x)=93356070)
5
+ 10 train 9.893142 (lr=4.6154e-05) (hash(x)=91253010)
6
+ 20 train 9.337500 (lr=8.8112e-05) (hash(x)=74934453)
7
+ 30 train 8.643623 (lr=1.3007e-04) (hash(x)=79278034)
8
+ 40 train 7.915657 (lr=1.7203e-04) (hash(x)=80107892)
9
+ 50 train 7.696733 (lr=2.1399e-04) (hash(x)=70745428)
10
+ 60 train 7.765840 (lr=2.5594e-04) (hash(x)=80077589)
11
+ 70 train 7.448135 (lr=2.9790e-04) (hash(x)=76213766)
12
+ 80 train 7.447195 (lr=3.3986e-04) (hash(x)=83218328)
13
+ 90 train 7.258025 (lr=3.8182e-04) (hash(x)=74855845)
14
+ 100 val loss 7.1569
15
+ 100 val perplexity 1282.9380
16
+ 100 train 6.990453 (lr=4.2378e-04) (hash(x)=82814902)
17
+ 110 train 6.962548 (lr=4.6573e-04) (hash(x)=84907741)
18
+ 120 train 6.773287 (lr=5.0769e-04) (hash(x)=82613223)
19
+ 130 train 6.631886 (lr=5.4965e-04) (hash(x)=83540876)
20
+ 140 train 6.582590 (lr=5.9161e-04) (hash(x)=75095216)
21
+ 150 train 6.654297 (lr=6.3357e-04) (hash(x)=97190944)
22
+ 160 train 6.557498 (lr=6.7552e-04) (hash(x)=82117809)
23
+ 170 train 6.449594 (lr=7.1748e-04) (hash(x)=70514724)
24
+ 180 train 6.397625 (lr=7.5944e-04) (hash(x)=81029624)
25
+ 190 train 6.292754 (lr=8.0140e-04) (hash(x)=78996841)
26
+ 200 val loss 6.2288
27
+ 200 val perplexity 507.1329
28
+ 200 train 6.233710 (lr=8.4336e-04) (hash(x)=79845097)
29
+ 210 train 6.116546 (lr=8.8531e-04) (hash(x)=78997683)
30
+ 220 train 6.040364 (lr=9.2727e-04) (hash(x)=74895865)
31
+ 230 train 6.178297 (lr=9.6923e-04) (hash(x)=80933276)
32
+ 240 train 5.867775 (lr=1.0112e-03) (hash(x)=77664606)
33
+ 250 train 5.945200 (lr=1.0531e-03) (hash(x)=75903930)
34
+ 260 train 5.827586 (lr=1.0951e-03) (hash(x)=82996853)
35
+ 270 train 5.766907 (lr=1.1371e-03) (hash(x)=73269568)
36
+ 280 train 5.691488 (lr=1.1790e-03) (hash(x)=82906427)
37
+ 290 train 5.619332 (lr=1.2210e-03) (hash(x)=71797895)
38
+ 300 val loss 5.7878
39
+ 300 val perplexity 326.3015
40
+ 300 train 5.504411 (lr=1.2629e-03) (hash(x)=85232249)
41
+ 310 train 5.414074 (lr=1.3049e-03) (hash(x)=75252489)
42
+ 320 train 5.520588 (lr=1.3469e-03) (hash(x)=74394644)
43
+ 330 train 5.610016 (lr=1.3888e-03) (hash(x)=82772910)
44
+ 340 train 5.661344 (lr=1.4308e-03) (hash(x)=81627464)
45
+ 350 train 5.639180 (lr=1.4727e-03) (hash(x)=84678053)
46
+ 360 train 5.572570 (lr=1.5147e-03) (hash(x)=81884128)
47
+ 370 train 5.596615 (lr=1.5566e-03) (hash(x)=76379242)
48
+ 380 train 5.407469 (lr=1.5986e-03) (hash(x)=98182875)
49
+ 390 train 5.396349 (lr=1.6406e-03) (hash(x)=79710436)
50
+ 400 val loss 5.4493
51
+ 400 val perplexity 232.5951
52
+ 400 train 5.389104 (lr=1.6825e-03) (hash(x)=79841071)
53
+ 410 train 5.339604 (lr=1.7245e-03) (hash(x)=75844151)
54
+ 420 train 5.329952 (lr=1.7664e-03) (hash(x)=73125036)
55
+ 430 train 5.375529 (lr=1.8084e-03) (hash(x)=84214858)
56
+ 440 train 5.279777 (lr=1.8503e-03) (hash(x)=80456994)
57
+ 450 train 5.256194 (lr=1.8923e-03) (hash(x)=76735962)
58
+ 460 train 5.177883 (lr=1.9343e-03) (hash(x)=81845446)
59
+ 470 train 4.999178 (lr=1.9762e-03) (hash(x)=76094689)
60
+ 480 train 5.130150 (lr=2.0182e-03) (hash(x)=83806686)
61
+ 490 train 4.940154 (lr=2.0601e-03) (hash(x)=84690227)
62
+ 500 val loss 5.2799
63
+ 500 val perplexity 196.3585
64
+ 500 train 5.016045 (lr=2.1021e-03) (hash(x)=71851938)
65
+ 510 train 5.138502 (lr=2.1441e-03) (hash(x)=77159346)
66
+ 520 train 5.193710 (lr=2.1860e-03) (hash(x)=80755753)
67
+ 530 train 5.282431 (lr=2.2280e-03) (hash(x)=75379679)
68
+ 540 train 5.203821 (lr=2.2699e-03) (hash(x)=82458619)
69
+ 550 train 5.162972 (lr=2.3119e-03) (hash(x)=86366396)
70
+ 560 train 5.199567 (lr=2.3538e-03) (hash(x)=85095044)
71
+ 570 train 5.162286 (lr=2.3958e-03) (hash(x)=78385159)
72
+ 580 train 5.118540 (lr=2.4378e-03) (hash(x)=79342394)
73
+ 590 train 5.109613 (lr=2.4797e-03) (hash(x)=70782192)
74
+ 600 val loss 5.1210
75
+ 600 val perplexity 167.4961
76
+ 600 train 5.103662 (lr=2.5217e-03) (hash(x)=76130353)
77
+ 610 train 5.016038 (lr=2.5636e-03) (hash(x)=74778440)
78
+ 620 train 4.985206 (lr=2.6056e-03) (hash(x)=79129709)
79
+ 630 train 4.896862 (lr=2.6476e-03) (hash(x)=76469962)
80
+ 640 train 4.896165 (lr=2.6895e-03) (hash(x)=78288049)
81
+ 650 train 4.861985 (lr=2.7315e-03) (hash(x)=76641388)
82
+ 660 train 4.778776 (lr=2.7734e-03) (hash(x)=75937906)
83
+ 670 train 4.761000 (lr=2.8154e-03) (hash(x)=74807157)
84
+ 680 train 4.680344 (lr=2.8573e-03) (hash(x)=77490144)
85
+ 690 train 4.731922 (lr=2.8993e-03) (hash(x)=72900124)
86
+ 700 val loss 5.0238
87
+ 700 val perplexity 151.9841
88
+ 700 train 4.722824 (lr=2.9413e-03) (hash(x)=73424218)
89
+ 710 train 4.995986 (lr=2.9832e-03) (hash(x)=86052345)
90
+ 720 train 4.984660 (lr=3.0000e-03) (hash(x)=77462613)
91
+ 730 train 5.003349 (lr=2.9999e-03) (hash(x)=79027471)
92
+ 740 train 4.961210 (lr=2.9997e-03) (hash(x)=78149992)
93
+ 750 train 4.930655 (lr=2.9994e-03) (hash(x)=89147499)
94
+ 760 train 4.960683 (lr=2.9990e-03) (hash(x)=74931538)
95
+ 770 train 4.922667 (lr=2.9985e-03) (hash(x)=89648204)
96
+ 780 train 4.995863 (lr=2.9979e-03) (hash(x)=83708293)
97
+ 790 train 5.018572 (lr=2.9972e-03) (hash(x)=84336512)
98
+ 800 val loss 4.9964
99
+ 800 val perplexity 147.8795
100
+ 800 train 4.926933 (lr=2.9964e-03) (hash(x)=75025285)
101
+ 810 train 4.909676 (lr=2.9955e-03) (hash(x)=79436536)
102
+ 820 train 5.065980 (lr=2.9945e-03) (hash(x)=90467390)
103
+ 830 train 5.167526 (lr=2.9934e-03) (hash(x)=77292020)
104
+ 840 train 5.064223 (lr=2.9922e-03) (hash(x)=75568927)
105
+ 850 train 5.085272 (lr=2.9909e-03) (hash(x)=79671781)
106
+ 860 train 5.266675 (lr=2.9896e-03) (hash(x)=84280943)
107
+ 870 train 5.226103 (lr=2.9881e-03) (hash(x)=80901294)
108
+ 880 train 5.453238 (lr=2.9865e-03) (hash(x)=81437584)
109
+ 890 train 5.382198 (lr=2.9848e-03) (hash(x)=73893778)
110
+ 900 val loss 5.4290
111
+ 900 val perplexity 227.9323
112
+ 900 train 5.359590 (lr=2.9830e-03) (hash(x)=74987794)
113
+ 910 train 5.383053 (lr=2.9811e-03) (hash(x)=93721374)
114
+ 920 train 5.424994 (lr=2.9792e-03) (hash(x)=79149678)
115
+ 930 train 5.557414 (lr=2.9771e-03) (hash(x)=83179387)
116
+ 940 train 5.555914 (lr=2.9749e-03) (hash(x)=89009978)
117
+ 950 train 5.547660 (lr=2.9726e-03) (hash(x)=76483735)
118
+ 960 train 5.561281 (lr=2.9703e-03) (hash(x)=78638850)
119
+ 970 train 5.671857 (lr=2.9678e-03) (hash(x)=90415206)
120
+ 980 train 5.810120 (lr=2.9652e-03) (hash(x)=90819195)
121
+ 990 train 6.272958 (lr=2.9626e-03) (hash(x)=85938852)
122
+ 1000 val loss 7.9441
123
+ 1000 val perplexity 2818.8711
124
+ 1000 train 7.884482 (lr=2.9598e-03) (hash(x)=82436789)
125
+ 1010 train 6.814630 (lr=2.9570e-03) (hash(x)=63022149)
126
+ 1020 train 6.769077 (lr=2.9540e-03) (hash(x)=83501199)
127
+ 1030 train 6.527783 (lr=2.9510e-03) (hash(x)=77093326)
128
+ 1040 train 6.677893 (lr=2.9478e-03) (hash(x)=73437559)
129
+ 1050 train 6.558738 (lr=2.9446e-03) (hash(x)=84550388)
130
+ 1060 train 6.761497 (lr=2.9412e-03) (hash(x)=86184566)
131
+ 1070 train 6.524655 (lr=2.9378e-03) (hash(x)=85644922)
132
+ 1080 train 6.428207 (lr=2.9343e-03) (hash(x)=86179801)
133
+ 1090 train 6.449162 (lr=2.9307e-03) (hash(x)=82868303)
134
+ 1100 val loss 6.5145
135
+ 1100 val perplexity 674.8774
136
+ 1100 train 6.543527 (lr=2.9270e-03) (hash(x)=96780388)
137
+ 1110 train 6.805699 (lr=2.9231e-03) (hash(x)=87223122)
138
+ 1120 train 6.716546 (lr=2.9192e-03) (hash(x)=77292786)
139
+ 1130 train 6.870414 (lr=2.9152e-03) (hash(x)=88761375)
140
+ 1140 train 6.831918 (lr=2.9112e-03) (hash(x)=80956468)
141
+ 1150 train 6.844891 (lr=2.9070e-03) (hash(x)=84725462)
142
+ 1160 train 6.953336 (lr=2.9027e-03) (hash(x)=76098113)
143
+ 1170 train 7.043128 (lr=2.8983e-03) (hash(x)=84387685)
144
+ 1180 train 7.249946 (lr=2.8939e-03) (hash(x)=76120321)
145
+ 1190 train 7.702798 (lr=2.8893e-03) (hash(x)=85974065)
146
+ 1200 val loss 7.3854
147
+ 1200 val perplexity 1612.2330
148
+ 1200 train 7.262916 (lr=2.8847e-03) (hash(x)=79340644)
149
+ 1210 train 7.297956 (lr=2.8800e-03) (hash(x)=88345025)
150
+ 1220 train 7.266304 (lr=2.8751e-03) (hash(x)=86406230)
151
+ 1230 train 7.295331 (lr=2.8702e-03) (hash(x)=80608975)
152
+ 1240 train 7.691692 (lr=2.8652e-03) (hash(x)=81635225)
153
+ 1250 train 7.243850 (lr=2.8601e-03) (hash(x)=82126376)
154
+ 1260 train 7.260544 (lr=2.8550e-03) (hash(x)=83737972)
155
+ 1270 train 7.081907 (lr=2.8497e-03) (hash(x)=81132345)
156
+ 1280 train 7.358902 (lr=2.8443e-03) (hash(x)=85850404)
157
+ 1290 train 7.392081 (lr=2.8389e-03) (hash(x)=83490640)
158
+ 1300 val loss 7.3235
159
+ 1300 val perplexity 1515.5194
160
+ 1300 train 7.274040 (lr=2.8333e-03) (hash(x)=77545187)
161
+ 1310 train 7.460943 (lr=2.8277e-03) (hash(x)=86412685)
162
+ 1320 train 7.500986 (lr=2.8220e-03) (hash(x)=86429640)
163
+ 1330 train 7.440027 (lr=2.8162e-03) (hash(x)=79645281)
164
+ 1340 train 7.225687 (lr=2.8103e-03) (hash(x)=82668541)
165
+ 1350 train 7.208192 (lr=2.8044e-03) (hash(x)=73627248)
166
+ 1360 train 7.158446 (lr=2.7983e-03) (hash(x)=74845133)
167
+ 1370 train 7.338128 (lr=2.7922e-03) (hash(x)=77850497)
168
+ 1380 train 7.341692 (lr=2.7860e-03) (hash(x)=76143954)
169
+ 1390 train 7.318113 (lr=2.7797e-03) (hash(x)=80675544)
170
+ 1400 val loss 7.3198
171
+ 1400 val perplexity 1509.9270
172
+ 1400 train 7.214077 (lr=2.7733e-03) (hash(x)=76010938)
173
+ 1410 train 7.364602 (lr=2.7668e-03) (hash(x)=81260300)
174
+ 1420 train 7.247366 (lr=2.7603e-03) (hash(x)=83803629)
175
+ 1430 train 7.350727 (lr=2.7536e-03) (hash(x)=83840110)
176
+ 1440 train 7.333153 (lr=2.7469e-03) (hash(x)=97711831)
177
+ 1450 train 7.173556 (lr=2.7401e-03) (hash(x)=81110139)
178
+ 1460 train 7.018660 (lr=2.7333e-03) (hash(x)=90942839)
179
+ 1470 train 6.988656 (lr=2.7263e-03) (hash(x)=80721564)
180
+ 1480 train 7.060610 (lr=2.7193e-03) (hash(x)=77852059)
181
+ 1490 train 6.939188 (lr=2.7121e-03) (hash(x)=80011365)
182
+ 1500 val loss 7.0207
183
+ 1500 val perplexity 1119.6165
184
+ 1500 train 7.026182 (lr=2.7050e-03) (hash(x)=84496142)
185
+ 1510 train 6.906285 (lr=2.6977e-03) (hash(x)=70186729)
186
+ 1520 train 7.108505 (lr=2.6903e-03) (hash(x)=74854227)
187
+ 1530 train 7.001370 (lr=2.6829e-03) (hash(x)=77468161)
188
+ 1540 train 7.055270 (lr=2.6754e-03) (hash(x)=87853059)
189
+ 1550 train 7.014011 (lr=2.6678e-03) (hash(x)=71225436)
190
+ 1560 train 7.075855 (lr=2.6602e-03) (hash(x)=84072783)
191
+ 1570 train 7.154444 (lr=2.6525e-03) (hash(x)=72723098)
192
+ 1580 train 7.096741 (lr=2.6447e-03) (hash(x)=90409866)
193
+ 1590 train 7.144741 (lr=2.6368e-03) (hash(x)=87481378)
194
+ 1600 val loss 7.1057
195
+ 1600 val perplexity 1218.8910
196
+ 1600 train 7.138794 (lr=2.6289e-03) (hash(x)=77643862)
197
+ 1610 train 7.228459 (lr=2.6208e-03) (hash(x)=88862575)
198
+ 1620 train 7.413017 (lr=2.6128e-03) (hash(x)=84612581)
199
+ 1630 train 7.380050 (lr=2.6046e-03) (hash(x)=87075989)
200
+ 1640 train 7.247164 (lr=2.5964e-03) (hash(x)=88277361)
201
+ 1650 train 7.211090 (lr=2.5881e-03) (hash(x)=78750236)
202
+ 1660 train 7.245454 (lr=2.5797e-03) (hash(x)=82604581)
203
+ 1670 train 7.187453 (lr=2.5713e-03) (hash(x)=68482265)
204
+ 1680 train 7.101226 (lr=2.5628e-03) (hash(x)=75088835)
205
+ 1690 train 7.121763 (lr=2.5542e-03) (hash(x)=66060989)
206
+ 1700 val loss 7.1460
207
+ 1700 val perplexity 1268.9634
208
+ 1700 train 7.134719 (lr=2.5455e-03) (hash(x)=79986754)
209
+ 1710 train 7.237673 (lr=2.5368e-03) (hash(x)=83657930)
210
+ 1720 train 7.121663 (lr=2.5281e-03) (hash(x)=81754135)
211
+ 1730 train 7.034142 (lr=2.5192e-03) (hash(x)=78904427)
212
+ 1740 train 7.116697 (lr=2.5103e-03) (hash(x)=85920177)
213
+ 1750 train 7.173929 (lr=2.5014e-03) (hash(x)=86573211)
214
+ 1760 train 7.136011 (lr=2.4924e-03) (hash(x)=81737128)
215
+ 1770 train 7.122250 (lr=2.4833e-03) (hash(x)=77400968)
216
+ 1780 train 7.220376 (lr=2.4741e-03) (hash(x)=73545497)
217
+ 1790 train 7.192985 (lr=2.4649e-03) (hash(x)=71641943)
218
+ 1800 val loss 7.2981
219
+ 1800 val perplexity 1477.5479
220
+ 1800 train 7.253676 (lr=2.4556e-03) (hash(x)=87819781)
221
+ 1810 train 7.227784 (lr=2.4463e-03) (hash(x)=86870770)
222
+ 1820 train 7.198609 (lr=2.4369e-03) (hash(x)=82522211)
223
+ 1830 train 7.218289 (lr=2.4275e-03) (hash(x)=61947437)
224
+ 1840 train 7.281321 (lr=2.4180e-03) (hash(x)=79865406)
225
+ 1850 train 7.261065 (lr=2.4084e-03) (hash(x)=79828721)
226
+ 1860 train 7.347232 (lr=2.3988e-03) (hash(x)=80869571)
227
+ 1870 train 7.305235 (lr=2.3891e-03) (hash(x)=73780971)
228
+ 1880 train 7.348927 (lr=2.3794e-03) (hash(x)=79249549)
229
+ 1890 train 7.344982 (lr=2.3696e-03) (hash(x)=81041904)
230
+ 1900 val loss 7.3551
231
+ 1900 val perplexity 1564.1530
232
+ 1900 train 7.397915 (lr=2.3598e-03) (hash(x)=82456430)
233
+ 1910 train 7.306715 (lr=2.3499e-03) (hash(x)=82222135)
234
+ 1920 train 7.292797 (lr=2.3400e-03) (hash(x)=70033249)
235
+ 1930 train 7.307279 (lr=2.3300e-03) (hash(x)=72887360)
236
+ 1940 train 7.359237 (lr=2.3200e-03) (hash(x)=83251100)
237
+ 1950 train 7.386228 (lr=2.3099e-03) (hash(x)=79660266)
238
+ 1960 train 7.342639 (lr=2.2998e-03) (hash(x)=78919068)
239
+ 1970 train 7.608257 (lr=2.2896e-03) (hash(x)=94690431)
240
+ 1980 train 7.375669 (lr=2.2793e-03) (hash(x)=88153756)
241
+ 1990 train 7.487187 (lr=2.2691e-03) (hash(x)=77195688)
242
+ 2000 val loss 7.5651
243
+ 2000 val perplexity 1929.6694
244
+ 2000 train 7.556475 (lr=2.2588e-03) (hash(x)=81308591)
245
+ 2010 train 7.558093 (lr=2.2484e-03) (hash(x)=80205479)
246
+ 2020 train 7.535404 (lr=2.2380e-03) (hash(x)=81008704)
247
+ 2030 train 7.584091 (lr=2.2275e-03) (hash(x)=82914358)
248
+ 2040 train 7.590535 (lr=2.2170e-03) (hash(x)=88064399)
249
+ 2050 train 7.626856 (lr=2.2065e-03) (hash(x)=82889390)
250
+ 2060 train 7.588338 (lr=2.1959e-03) (hash(x)=80913554)
251
+ 2070 train 7.598219 (lr=2.1853e-03) (hash(x)=78121791)
252
+ 2080 train 7.655114 (lr=2.1746e-03) (hash(x)=75356657)
253
+ 2090 train 7.561478 (lr=2.1639e-03) (hash(x)=74048412)
254
+ 2100 val loss 7.6861
255
+ 2100 val perplexity 2177.9463
256
+ 2100 train 7.588395 (lr=2.1532e-03) (hash(x)=68928225)
257
+ 2110 train 7.572789 (lr=2.1424e-03) (hash(x)=93734745)
258
+ 2120 train 7.585231 (lr=2.1316e-03) (hash(x)=72878164)
259
+ 2130 train 7.641449 (lr=2.1208e-03) (hash(x)=71508226)
260
+ 2140 train 7.801888 (lr=2.1099e-03) (hash(x)=84168671)
261
+ 2150 train 7.676418 (lr=2.0990e-03) (hash(x)=74673639)
262
+ 2160 train 7.732496 (lr=2.0881e-03) (hash(x)=75470031)
263
+ 2170 train 7.702290 (lr=2.0771e-03) (hash(x)=74307890)
264
+ 2180 train 7.702377 (lr=2.0661e-03) (hash(x)=77214245)
265
+ 2190 train 7.730570 (lr=2.0550e-03) (hash(x)=88628359)
266
+ 2200 val loss 7.7700
267
+ 2200 val perplexity 2368.5322
268
+ 2200 train 7.657488 (lr=2.0440e-03) (hash(x)=74779126)
269
+ 2210 train 7.690193 (lr=2.0329e-03) (hash(x)=79817976)
270
+ 2220 train 7.669353 (lr=2.0217e-03) (hash(x)=75258996)
271
+ 2230 train 7.725775 (lr=2.0106e-03) (hash(x)=88164047)
272
+ 2240 train 7.701596 (lr=1.9994e-03) (hash(x)=78580686)
273
+ 2250 train 7.730624 (lr=1.9882e-03) (hash(x)=76510617)
274
+ 2260 train 7.701021 (lr=1.9770e-03) (hash(x)=76043966)
275
+ 2270 train 7.770646 (lr=1.9657e-03) (hash(x)=73062098)
276
+ 2280 train 7.830359 (lr=1.9544e-03) (hash(x)=81885909)
277
+ 2290 train 7.782989 (lr=1.9431e-03) (hash(x)=81481741)
278
+ 2300 val loss 7.8674
279
+ 2300 val perplexity 2610.8328
280
+ 2300 train 7.873971 (lr=1.9318e-03) (hash(x)=82104275)
281
+ 2310 train 7.821762 (lr=1.9205e-03) (hash(x)=82137309)
282
+ 2320 train 7.788170 (lr=1.9091e-03) (hash(x)=86741167)
283
+ 2330 train 7.805592 (lr=1.8977e-03) (hash(x)=84796263)
284
+ 2340 train 8.030540 (lr=1.8863e-03) (hash(x)=169966529)
285
+ 2350 train 7.534948 (lr=1.8749e-03) (hash(x)=80006061)
286
+ 2360 train 7.715508 (lr=1.8635e-03) (hash(x)=71090999)
287
+ 2370 train 7.755747 (lr=1.8520e-03) (hash(x)=86641850)
288
+ 2380 train 7.719655 (lr=1.8406e-03) (hash(x)=84573253)
289
+ 2390 train 7.730046 (lr=1.8291e-03) (hash(x)=74483764)
290
+ 2400 val loss 7.7652
291
+ 2400 val perplexity 2357.2449
292
+ 2400 train 7.711062 (lr=1.8176e-03) (hash(x)=78327659)
293
+ 2410 train 7.705768 (lr=1.8061e-03) (hash(x)=77273627)
294
+ 2420 train 7.675417 (lr=1.7946e-03) (hash(x)=76938049)
295
+ 2430 train 7.735750 (lr=1.7830e-03) (hash(x)=98449442)
296
+ 2440 train 7.703193 (lr=1.7715e-03) (hash(x)=78157797)
297
+ 2450 train 7.709731 (lr=1.7600e-03) (hash(x)=80637582)
298
+ 2460 train 7.701936 (lr=1.7484e-03) (hash(x)=80023854)
299
+ 2470 train 7.728909 (lr=1.7368e-03) (hash(x)=86678884)
300
+ 2480 train 7.728809 (lr=1.7253e-03) (hash(x)=84086469)
301
+ 2490 train 7.841590 (lr=1.7137e-03) (hash(x)=83131141)
302
+ 2500 val loss 7.7663
303
+ 2500 val perplexity 2359.7573
304
+ 2500 train 7.754832 (lr=1.7021e-03) (hash(x)=82583497)
305
+ 2510 train 7.768126 (lr=1.6906e-03) (hash(x)=79164326)
306
+ 2520 train 7.751704 (lr=1.6790e-03) (hash(x)=76456503)
307
+ 2530 train 7.683052 (lr=1.6674e-03) (hash(x)=82001228)
308
+ 2540 train 7.747689 (lr=1.6558e-03) (hash(x)=75615595)
309
+ 2550 train 7.716981 (lr=1.6442e-03) (hash(x)=78397869)
310
+ 2560 train 7.687591 (lr=1.6326e-03) (hash(x)=75547032)
311
+ 2570 train 7.761646 (lr=1.6210e-03) (hash(x)=89201025)
312
+ 2580 train 7.695942 (lr=1.6094e-03) (hash(x)=89856704)
313
+ 2590 train 7.664876 (lr=1.5979e-03) (hash(x)=82175682)
314
+ 2600 val loss 7.7560
315
+ 2600 val perplexity 2335.5337
316
+ 2600 train 7.634276 (lr=1.5863e-03) (hash(x)=78312826)
317
+ 2610 train 7.667009 (lr=1.5747e-03) (hash(x)=77066588)
318
+ 2620 train 7.810843 (lr=1.5632e-03) (hash(x)=78666061)
319
+ 2630 train 7.698972 (lr=1.5516e-03) (hash(x)=93762143)
320
+ 2640 train 7.631283 (lr=1.5400e-03) (hash(x)=83191587)
321
+ 2650 train 7.679720 (lr=1.5285e-03) (hash(x)=87169585)
322
+ 2660 train 7.823438 (lr=1.5170e-03) (hash(x)=86426388)
323
+ 2670 train 7.838377 (lr=1.5054e-03) (hash(x)=76692638)
324
+ 2680 train 7.742966 (lr=1.4939e-03) (hash(x)=77446063)
325
+ 2690 train 7.754032 (lr=1.4824e-03) (hash(x)=79809050)
326
+ 2700 val loss 7.7558
327
+ 2700 val perplexity 2335.1931
328
+ 2700 train 7.714500 (lr=1.4709e-03) (hash(x)=83116823)
329
+ 2710 train 7.747803 (lr=1.4594e-03) (hash(x)=75622148)
330
+ 2720 train 7.658982 (lr=1.4480e-03) (hash(x)=80690512)
331
+ 2730 train 7.699152 (lr=1.4365e-03) (hash(x)=78009984)
332
+ 2740 train 7.697099 (lr=1.4251e-03) (hash(x)=74205488)
333
+ 2750 train 7.714989 (lr=1.4137e-03) (hash(x)=91013332)
334
+ 2760 train 7.637823 (lr=1.4023e-03) (hash(x)=76954961)
335
+ 2770 train 7.762323 (lr=1.3909e-03) (hash(x)=79390317)
336
+ 2780 train 7.703136 (lr=1.3795e-03) (hash(x)=70168783)
337
+ 2790 train 7.580880 (lr=1.3682e-03) (hash(x)=76028417)
338
+ 2800 val loss 7.7113
339
+ 2800 val perplexity 2233.4160
340
+ 2800 train 7.598492 (lr=1.3569e-03) (hash(x)=77656050)
341
+ 2810 train 7.641064 (lr=1.3456e-03) (hash(x)=94248216)
342
+ 2820 train 7.599107 (lr=1.3343e-03) (hash(x)=78305078)
343
+ 2830 train 7.628259 (lr=1.3230e-03) (hash(x)=79948848)
344
+ 2840 train 7.615584 (lr=1.3118e-03) (hash(x)=85341024)
345
+ 2850 train 7.680650 (lr=1.3006e-03) (hash(x)=78735170)
346
+ 2860 train 7.683688 (lr=1.2894e-03) (hash(x)=71616419)
347
+ 2870 train 7.704491 (lr=1.2783e-03) (hash(x)=78656517)
348
+ 2880 train 7.597815 (lr=1.2671e-03) (hash(x)=80073987)
349
+ 2890 train 7.574358 (lr=1.2560e-03) (hash(x)=76894809)
350
+ 2900 val loss 7.6274
351
+ 2900 val perplexity 2053.6113
352
+ 2900 train 7.605269 (lr=1.2450e-03) (hash(x)=80499838)
353
+ 2910 train 7.517460 (lr=1.2339e-03) (hash(x)=72673354)
354
+ 2920 train 7.470358 (lr=1.2229e-03) (hash(x)=84265768)
355
+ 2930 train 7.632172 (lr=1.2119e-03) (hash(x)=79612060)
356
+ 2940 train 7.469785 (lr=1.2010e-03) (hash(x)=74970087)
357
+ 2950 train 7.559792 (lr=1.1901e-03) (hash(x)=84166818)
358
+ 2960 train 7.547833 (lr=1.1792e-03) (hash(x)=89410221)
359
+ 2970 train 7.525341 (lr=1.1684e-03) (hash(x)=75672566)
360
+ 2980 train 7.451069 (lr=1.1576e-03) (hash(x)=81760314)
361
+ 2990 train 7.553949 (lr=1.1468e-03) (hash(x)=80605200)
362
+ 3000 val loss 7.5686
363
+ 3000 val perplexity 1936.4259
364
+ 3000 train 7.487489 (lr=1.1361e-03) (hash(x)=83804735)
365
+ 3010 train 7.506556 (lr=1.1254e-03) (hash(x)=77015303)
366
+ 3020 train 7.464118 (lr=1.1147e-03) (hash(x)=81464523)
367
+ 3030 train 7.523106 (lr=1.1041e-03) (hash(x)=80168230)
368
+ 3040 train 7.550062 (lr=1.0935e-03) (hash(x)=84817006)
369
+ 3050 train 7.459126 (lr=1.0830e-03) (hash(x)=71601811)
370
+ 3060 train 7.462350 (lr=1.0725e-03) (hash(x)=85499733)
371
+ 3070 train 7.477690 (lr=1.0620e-03) (hash(x)=78670408)
372
+ 3080 train 7.401551 (lr=1.0516e-03) (hash(x)=77120468)
373
+ 3090 train 7.491690 (lr=1.0412e-03) (hash(x)=77927426)
374
+ 3100 val loss 7.5105
375
+ 3100 val perplexity 1827.0911
376
+ 3100 train 7.415568 (lr=1.0309e-03) (hash(x)=83998606)
377
+ 3110 train 7.404271 (lr=1.0207e-03) (hash(x)=77990218)
378
+ 3120 train 7.417022 (lr=1.0104e-03) (hash(x)=81623970)
379
+ 3130 train 7.337148 (lr=1.0002e-03) (hash(x)=75014781)
380
+ 3140 train 7.394588 (lr=9.9011e-04) (hash(x)=72591250)
381
+ 3150 train 7.429943 (lr=9.8002e-04) (hash(x)=81421847)
382
+ 3160 train 7.441126 (lr=9.6999e-04) (hash(x)=75112631)
383
+ 3170 train 7.537056 (lr=9.6000e-04) (hash(x)=87518033)
384
+ 3180 train 7.595559 (lr=9.5007e-04) (hash(x)=78648348)
385
+ 3190 train 7.502960 (lr=9.4019e-04) (hash(x)=78270029)
386
+ 3200 val loss 7.5342
387
+ 3200 val perplexity 1871.0178
388
+ 3200 train 7.589988 (lr=9.3036e-04) (hash(x)=83380714)
389
+ 3210 train 7.517437 (lr=9.2058e-04) (hash(x)=67804991)
390
+ 3220 train 7.489972 (lr=9.1085e-04) (hash(x)=76968804)
391
+ 3230 train 7.472310 (lr=9.0118e-04) (hash(x)=75798670)
392
+ 3240 train 7.518950 (lr=8.9157e-04) (hash(x)=83192811)
393
+ 3250 train 7.477738 (lr=8.8201e-04) (hash(x)=81659789)
394
+ 3260 train 7.493557 (lr=8.7251e-04) (hash(x)=80622502)
395
+ 3270 train 7.558284 (lr=8.6307e-04) (hash(x)=85436511)
396
+ 3280 train 7.496195 (lr=8.5368e-04) (hash(x)=80589180)
397
+ 3290 train 7.492941 (lr=8.4435e-04) (hash(x)=85747193)
398
+ 3300 val loss 7.5646
399
+ 3300 val perplexity 1928.7900
400
+ 3300 train 7.533623 (lr=8.3508e-04) (hash(x)=74635692)
401
+ 3310 train 7.597345 (lr=8.2588e-04) (hash(x)=82045455)
402
+ 3320 train 7.462996 (lr=8.1673e-04) (hash(x)=73249173)
403
+ 3330 train 7.500311 (lr=8.0764e-04) (hash(x)=71492338)
404
+ 3340 train 7.579285 (lr=7.9862e-04) (hash(x)=76374071)
405
+ 3350 train 7.602466 (lr=7.8966e-04) (hash(x)=80474064)
406
+ 3360 train 7.597970 (lr=7.8076e-04) (hash(x)=84390892)
407
+ 3370 train 7.623841 (lr=7.7192e-04) (hash(x)=83399949)
408
+ 3380 train 7.592486 (lr=7.6315e-04) (hash(x)=77648059)
409
+ 3390 train 7.584790 (lr=7.5445e-04) (hash(x)=80152701)
410
+ 3400 val loss 7.5706
411
+ 3400 val perplexity 1940.3024
412
+ 3400 train 7.621054 (lr=7.4581e-04) (hash(x)=81952545)
413
+ 3410 train 7.586414 (lr=7.3724e-04) (hash(x)=80908993)
414
+ 3420 train 7.561053 (lr=7.2874e-04) (hash(x)=79610037)
415
+ 3430 train 7.547961 (lr=7.2030e-04) (hash(x)=87624382)
416
+ 3440 train 7.521791 (lr=7.1193e-04) (hash(x)=82336381)
417
+ 3450 train 7.494894 (lr=7.0363e-04) (hash(x)=87687835)
418
+ 3460 train 7.515392 (lr=6.9541e-04) (hash(x)=76376135)
419
+ 3470 train 7.517254 (lr=6.8725e-04) (hash(x)=79331391)
420
+ 3480 train 7.598111 (lr=6.7916e-04) (hash(x)=107002681)
421
+ 3490 train 7.438493 (lr=6.7114e-04) (hash(x)=77465514)
422
+ 3500 val loss 7.5644
423
+ 3500 val perplexity 1928.2300
424
+ 3500 train 7.539044 (lr=6.6320e-04) (hash(x)=88237229)
425
+ 3510 train 7.555108 (lr=6.5533e-04) (hash(x)=81011739)
426
+ 3520 train 7.277020 (lr=6.4753e-04) (hash(x)=64643427)
427
+ 3530 train 7.504449 (lr=6.3981e-04) (hash(x)=78029539)
428
+ 3540 train 7.692257 (lr=6.3216e-04) (hash(x)=83188968)
429
+ 3550 train 7.548464 (lr=6.2458e-04) (hash(x)=86104185)
430
+ 3560 train 7.581960 (lr=6.1708e-04) (hash(x)=81993629)
431
+ 3570 train 7.474650 (lr=6.0966e-04) (hash(x)=72719368)
432
+ 3580 train 7.510263 (lr=6.0231e-04) (hash(x)=90091487)
433
+ 3590 train 7.441160 (lr=5.9504e-04) (hash(x)=77393152)
434
+ 3600 val loss 7.5331
435
+ 3600 val perplexity 1868.9518
436
+ 3600 train 7.490921 (lr=5.8785e-04) (hash(x)=73103504)
437
+ 3610 train 7.538254 (lr=5.8074e-04) (hash(x)=84429400)
438
+ 3620 train 7.515536 (lr=5.7370e-04) (hash(x)=77021795)
439
+ 3630 train 7.561830 (lr=5.6675e-04) (hash(x)=92830605)
440
+ 3640 train 7.526217 (lr=5.5987e-04) (hash(x)=78313175)
441
+ 3650 train 7.497827 (lr=5.5308e-04) (hash(x)=85395549)
442
+ 3660 train 7.385332 (lr=5.4636e-04) (hash(x)=78114459)
443
+ 3670 train 7.490797 (lr=5.3973e-04) (hash(x)=74968316)
444
+ 3680 train 7.487492 (lr=5.3318e-04) (hash(x)=73358737)
445
+ 3690 train 7.622369 (lr=5.2671e-04) (hash(x)=76399442)
446
+ 3700 val loss 7.5734
447
+ 3700 val perplexity 1945.6593
448
+ 3700 train 7.454239 (lr=5.2033e-04) (hash(x)=74039273)
449
+ 3710 train 7.612136 (lr=5.1402e-04) (hash(x)=79299680)
450
+ 3720 train 7.594764 (lr=5.0780e-04) (hash(x)=94701498)
451
+ 3730 train 7.570533 (lr=5.0167e-04) (hash(x)=75352071)
452
+ 3740 train 7.555365 (lr=4.9562e-04) (hash(x)=77909487)
453
+ 3750 train 7.527324 (lr=4.8965e-04) (hash(x)=73986730)
454
+ 3760 train 7.643380 (lr=4.8377e-04) (hash(x)=79325763)
455
+ 3770 train 7.525124 (lr=4.7798e-04) (hash(x)=72457818)
456
+ 3780 train 7.636273 (lr=4.7227e-04) (hash(x)=71775590)
457
+ 3790 train 7.606275 (lr=4.6665e-04) (hash(x)=82638943)
458
+ 3800 val loss 7.5618
459
+ 3800 val perplexity 1923.3337
460
+ 3800 train 7.478692 (lr=4.6112e-04) (hash(x)=79965893)
461
+ 3810 train 7.439626 (lr=4.5567e-04) (hash(x)=72598235)
462
+ 3820 train 7.567735 (lr=4.5031e-04) (hash(x)=83113889)
463
+ 3830 train 7.554674 (lr=4.4504e-04) (hash(x)=74434590)
464
+ 3840 train 7.590422 (lr=4.3986e-04) (hash(x)=82860348)
465
+ 3850 train 7.470490 (lr=4.3477e-04) (hash(x)=78067565)
466
+ 3860 train 7.469129 (lr=4.2977e-04) (hash(x)=82592498)
467
+ 3870 train 7.521550 (lr=4.2486e-04) (hash(x)=81820733)
468
+ 3880 train 7.527872 (lr=4.2004e-04) (hash(x)=87709040)
469
+ 3890 train 7.561584 (lr=4.1530e-04) (hash(x)=70379093)
470
+ 3900 val loss 7.5609
471
+ 3900 val perplexity 1921.6287
472
+ 3900 train 7.564844 (lr=4.1066e-04) (hash(x)=76597431)
473
+ 3910 train 7.659160 (lr=4.0611e-04) (hash(x)=90490716)
474
+ 3920 train 7.533878 (lr=4.0166e-04) (hash(x)=81970659)
475
+ 3930 train 7.543488 (lr=3.9729e-04) (hash(x)=81496334)
476
+ 3940 train 7.475014 (lr=3.9302e-04) (hash(x)=75717605)
477
+ 3950 train 7.549742 (lr=3.8884e-04) (hash(x)=82749357)
478
+ 3960 train 7.559262 (lr=3.8475e-04) (hash(x)=89355157)
479
+ 3970 train 7.493369 (lr=3.8076e-04) (hash(x)=78980403)
480
+ 3980 train 7.499975 (lr=3.7685e-04) (hash(x)=76627217)
481
+ 3990 train 7.499601 (lr=3.7305e-04) (hash(x)=72412879)
482
+ 4000 val loss 7.5667
483
+ 4000 val perplexity 1932.7673
484
+ 4000 train 7.581849 (lr=3.6933e-04) (hash(x)=83018142)
485
+ 4010 train 7.495305 (lr=3.6572e-04) (hash(x)=81272436)
486
+ 4020 train 7.513122 (lr=3.6219e-04) (hash(x)=85497482)
487
+ 4030 train 7.684147 (lr=3.5876e-04) (hash(x)=85241734)
488
+ 4040 train 7.539821 (lr=3.5543e-04) (hash(x)=77925307)
489
+ 4050 train 7.575080 (lr=3.5219e-04) (hash(x)=84826179)
490
+ 4060 train 7.574292 (lr=3.4905e-04) (hash(x)=83606764)
491
+ 4070 train 7.566972 (lr=3.4600e-04) (hash(x)=80567590)
492
+ 4080 train 7.500980 (lr=3.4305e-04) (hash(x)=76860998)
493
+ 4090 train 7.442350 (lr=3.4019e-04) (hash(x)=74902328)
494
+ 4100 val loss 7.5614
495
+ 4100 val perplexity 1922.5625
496
+ 4100 train 7.549670 (lr=3.3744e-04) (hash(x)=82832041)
497
+ 4110 train 7.550259 (lr=3.3477e-04) (hash(x)=79143262)
498
+ 4120 train 7.560569 (lr=3.3221e-04) (hash(x)=77038149)
499
+ 4130 train 7.622752 (lr=3.2974e-04) (hash(x)=86339074)
500
+ 4140 train 7.482324 (lr=3.2737e-04) (hash(x)=76686216)
501
+ 4150 train 7.591799 (lr=3.2510e-04) (hash(x)=70522682)
502
+ 4160 train 7.600740 (lr=3.2292e-04) (hash(x)=90958555)
503
+ 4170 train 7.609562 (lr=3.2085e-04) (hash(x)=91463532)
504
+ 4180 train 7.524705 (lr=3.1887e-04) (hash(x)=81959329)
505
+ 4190 train 7.566608 (lr=3.1699e-04) (hash(x)=83146752)
506
+ 4200 val loss 7.5690
507
+ 4200 val perplexity 1937.2358
508
+ 4200 train 7.509293 (lr=3.1520e-04) (hash(x)=78361715)
509
+ 4210 train 7.582371 (lr=3.1352e-04) (hash(x)=87364889)
510
+ 4220 train 7.476169 (lr=3.1193e-04) (hash(x)=70465156)
511
+ 4230 train 7.566084 (lr=3.1044e-04) (hash(x)=84524081)
512
+ 4240 train 7.575255 (lr=3.0905e-04) (hash(x)=77824868)
513
+ 4250 train 7.543642 (lr=3.0776e-04) (hash(x)=81710711)
514
+ 4260 train 7.520569 (lr=3.0657e-04) (hash(x)=76362728)
515
+ 4270 train 7.513902 (lr=3.0548e-04) (hash(x)=83115208)
516
+ 4280 train 7.529957 (lr=3.0449e-04) (hash(x)=87218314)
517
+ 4290 train 7.557388 (lr=3.0359e-04) (hash(x)=74582673)
518
+ 4300 val loss 7.5763
519
+ 4300 val perplexity 1951.4451
520
+ 4300 train 7.567106 (lr=3.0280e-04) (hash(x)=77379615)
521
+ 4310 train 7.497431 (lr=3.0210e-04) (hash(x)=78669579)
522
+ 4320 train 7.568608 (lr=3.0150e-04) (hash(x)=83066608)
523
+ 4330 train 7.518753 (lr=3.0101e-04) (hash(x)=83037340)
524
+ 4340 train 7.622838 (lr=3.0061e-04) (hash(x)=82849771)
525
+ 4350 train 7.535008 (lr=3.0031e-04) (hash(x)=76693985)
526
+ 4360 train 7.515219 (lr=3.0011e-04) (hash(x)=77745394)
527
+ 4370 train 7.498968 (lr=3.0001e-04) (hash(x)=79954388)
528
+ 4374 val loss 7.5758
529
+ 4374 val perplexity 1950.4347
logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339/model_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db1ce157da93f90be0b7e452745a9bc13cd094af07491e0441f0448343d28c5b
3
+ size 97706482
logs/fix_1_latent_mask/1_latent_mask_lr_30e-4_scale_0.125_seed_1339/optimizer_04374.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9885b9f261170b81757fe54568bc2425a39baa54f88286ad7aa45c3e4ed5bb02
3
+ size 189135414