Upload folder using huggingface_hub

12_mini_head_two_masks_4_heads/args.json

@@ -1 +1 @@
-{"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_mini_head_two_masks_4_heads", "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": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "two_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": null, "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": "12_mini_head_two_masks_4_heads"}
+{"hellaswag": true, "attention_kind": "selective", "log_dir": "logs/repro_selective_pattern_rankings/12_mini_head_two_masks_4_heads", "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": "repro_selective_pattern_rankings", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1341, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "two_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": null, "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": "12_mini_head_two_masks_4_heads"}

12_mini_head_two_masks_4_heads/log2.txt

@@ -1,529 +1,529 @@
 max_steps: 4375
-0 val loss 11.2420
-0 val perplexity 76263.9609
-0 train 11.240036 (lr=4.1958e-06) (hash(x)=93356070)
-10 train 9.940853 (lr=4.6154e-05) (hash(x)=91253010)
-20 train 9.353481 (lr=8.8112e-05) (hash(x)=74934453)
-30 train 8.665646 (lr=1.3007e-04) (hash(x)=79278034)
-40 train 7.941756 (lr=1.7203e-04) (hash(x)=80107892)
-50 train 7.711990 (lr=2.1399e-04) (hash(x)=70745428)
-60 train 7.755013 (lr=2.5594e-04) (hash(x)=80077589)
-70 train 7.441728 (lr=2.9790e-04) (hash(x)=76213766)
-80 train 7.418779 (lr=3.3986e-04) (hash(x)=83218328)
-90 train 7.205741 (lr=3.8182e-04) (hash(x)=74855845)
-100 val loss 7.1074
-100 val perplexity 1220.9525
-100 train 6.936159 (lr=4.2378e-04) (hash(x)=82814902)
-110 train 6.885898 (lr=4.6573e-04) (hash(x)=84907741)
-120 train 6.721906 (lr=5.0769e-04) (hash(x)=82613223)
-130 train 6.565316 (lr=5.4965e-04) (hash(x)=83540876)
-140 train 6.534502 (lr=5.9161e-04) (hash(x)=75095216)
-150 train 6.598518 (lr=6.3357e-04) (hash(x)=97190944)
-160 train 6.523254 (lr=6.7552e-04) (hash(x)=82117809)
-170 train 6.415052 (lr=7.1748e-04) (hash(x)=70514724)
-180 train 6.371774 (lr=7.5944e-04) (hash(x)=81029624)
-190 train 6.260786 (lr=8.0140e-04) (hash(x)=78996841)
-200 val loss 6.2018
-200 val perplexity 493.6483
-200 train 6.205894 (lr=8.4336e-04) (hash(x)=79845097)
-210 train 6.079192 (lr=8.8531e-04) (hash(x)=78997683)
-220 train 6.013025 (lr=9.2727e-04) (hash(x)=74895865)
-230 train 6.144373 (lr=9.6923e-04) (hash(x)=80933276)
-240 train 5.838569 (lr=1.0112e-03) (hash(x)=77664606)
-250 train 5.900430 (lr=1.0531e-03) (hash(x)=75903930)
-260 train 5.794485 (lr=1.0951e-03) (hash(x)=82996853)
-270 train 5.731581 (lr=1.1371e-03) (hash(x)=73269568)
-280 train 5.651431 (lr=1.1790e-03) (hash(x)=82906427)
-290 train 5.582887 (lr=1.2210e-03) (hash(x)=71797895)
-300 val loss 5.7441
-300 val perplexity 312.3363
-300 train 5.448966 (lr=1.2629e-03) (hash(x)=85232249)
-310 train 5.382763 (lr=1.3049e-03) (hash(x)=75252489)
-320 train 5.469795 (lr=1.3469e-03) (hash(x)=74394644)
-330 train 5.571346 (lr=1.3888e-03) (hash(x)=82772910)
-340 train 5.633896 (lr=1.4308e-03) (hash(x)=81627464)
-350 train 5.606882 (lr=1.4727e-03) (hash(x)=84678053)
-360 train 5.525519 (lr=1.5147e-03) (hash(x)=81884128)
-370 train 5.566646 (lr=1.5566e-03) (hash(x)=76379242)
-380 train 5.358700 (lr=1.5986e-03) (hash(x)=98182875)
-390 train 5.331889 (lr=1.6406e-03) (hash(x)=79710436)
-400 val loss 5.3965
-400 val perplexity 220.6231
-400 train 5.329051 (lr=1.6825e-03) (hash(x)=79841071)
-410 train 5.273205 (lr=1.7245e-03) (hash(x)=75844151)
-420 train 5.275229 (lr=1.7664e-03) (hash(x)=73125036)
-430 train 5.323556 (lr=1.8084e-03) (hash(x)=84214858)
-440 train 5.201713 (lr=1.8503e-03) (hash(x)=80456994)
-450 train 5.189032 (lr=1.8923e-03) (hash(x)=76735962)
-460 train 5.100021 (lr=1.9343e-03) (hash(x)=81845446)
-470 train 4.907912 (lr=1.9762e-03) (hash(x)=76094689)
-480 train 5.032192 (lr=2.0182e-03) (hash(x)=83806686)
-490 train 4.845444 (lr=2.0601e-03) (hash(x)=84690227)
-500 val loss 5.2035
-500 val perplexity 181.9149
-500 train 4.930135 (lr=2.1021e-03) (hash(x)=71851938)
-510 train 5.056459 (lr=2.1441e-03) (hash(x)=77159346)
-520 train 5.095751 (lr=2.1860e-03) (hash(x)=80755753)
-530 train 5.226648 (lr=2.2280e-03) (hash(x)=75379679)
-540 train 5.128750 (lr=2.2699e-03) (hash(x)=82458619)
-550 train 5.071308 (lr=2.3119e-03) (hash(x)=86366396)
-560 train 5.115994 (lr=2.3538e-03) (hash(x)=85095044)
-570 train 5.059292 (lr=2.3958e-03) (hash(x)=78385159)
-580 train 4.988278 (lr=2.4378e-03) (hash(x)=79342394)
-590 train 5.003975 (lr=2.4797e-03) (hash(x)=70782192)
-600 val loss 5.0236
-600 val perplexity 151.9530
-600 train 4.993452 (lr=2.5217e-03) (hash(x)=76130353)
-610 train 4.928888 (lr=2.5636e-03) (hash(x)=74778440)
-620 train 4.876690 (lr=2.6056e-03) (hash(x)=79129709)
-630 train 4.776254 (lr=2.6476e-03) (hash(x)=76469962)
-640 train 4.767421 (lr=2.6895e-03) (hash(x)=78288049)
-650 train 4.718707 (lr=2.7315e-03) (hash(x)=76641388)
-660 train 4.662098 (lr=2.7734e-03) (hash(x)=75937906)
-670 train 4.626476 (lr=2.8154e-03) (hash(x)=74807157)
-680 train 4.533523 (lr=2.8573e-03) (hash(x)=77490144)
-690 train 4.579722 (lr=2.8993e-03) (hash(x)=72900124)
-700 val loss 4.8426
-700 val perplexity 126.7963
-700 train 4.535491 (lr=2.9413e-03) (hash(x)=73424218)
-710 train 4.841081 (lr=2.9832e-03) (hash(x)=86052345)
-720 train 4.813186 (lr=3.0000e-03) (hash(x)=77462613)
-730 train 4.815465 (lr=2.9999e-03) (hash(x)=79027471)
-740 train 4.771577 (lr=2.9997e-03) (hash(x)=78149992)
-750 train 4.711325 (lr=2.9994e-03) (hash(x)=89147499)
-760 train 4.760425 (lr=2.9990e-03) (hash(x)=74931538)
-770 train 4.710604 (lr=2.9985e-03) (hash(x)=89648204)
-780 train 4.754171 (lr=2.9979e-03) (hash(x)=83708293)
-790 train 4.747654 (lr=2.9972e-03) (hash(x)=84336512)
-800 val loss 4.7364
-800 val perplexity 114.0191
-800 train 4.658076 (lr=2.9964e-03) (hash(x)=75025285)
-810 train 4.575213 (lr=2.9955e-03) (hash(x)=79436536)
-820 train 4.571140 (lr=2.9945e-03) (hash(x)=90467390)
-830 train 4.609018 (lr=2.9934e-03) (hash(x)=77292020)
-840 train 4.530977 (lr=2.9922e-03) (hash(x)=75568927)
-850 train 4.566779 (lr=2.9909e-03) (hash(x)=79671781)
-860 train 4.653970 (lr=2.9896e-03) (hash(x)=84280943)
-870 train 4.639842 (lr=2.9881e-03) (hash(x)=80901294)
-880 train 4.747861 (lr=2.9865e-03) (hash(x)=81437584)
-890 train 4.613525 (lr=2.9848e-03) (hash(x)=73893778)
-900 val loss 4.6291
-900 val perplexity 102.4168
-900 train 4.561135 (lr=2.9830e-03) (hash(x)=74987794)
-910 train 4.582346 (lr=2.9811e-03) (hash(x)=93721374)
-920 train 4.561399 (lr=2.9792e-03) (hash(x)=79149678)
-930 train 4.518332 (lr=2.9771e-03) (hash(x)=83179387)
-940 train 4.519723 (lr=2.9749e-03) (hash(x)=89009978)
-950 train 4.514559 (lr=2.9726e-03) (hash(x)=76483735)
-960 train 4.442883 (lr=2.9703e-03) (hash(x)=78638850)
-970 train 4.482703 (lr=2.9678e-03) (hash(x)=90415206)
-980 train 4.422663 (lr=2.9652e-03) (hash(x)=90819195)
-990 train 4.550939 (lr=2.9626e-03) (hash(x)=85938852)
-1000 val loss 4.5322
-1000 val perplexity 92.9654
-1000 train 4.579810 (lr=2.9598e-03) (hash(x)=82436789)
-1010 train 4.653182 (lr=2.9570e-03) (hash(x)=63022149)
-1020 train 4.549386 (lr=2.9540e-03) (hash(x)=83501199)
-1030 train 4.531788 (lr=2.9510e-03) (hash(x)=77093326)
-1040 train 4.410017 (lr=2.9478e-03) (hash(x)=73437559)
-1050 train 4.501081 (lr=2.9446e-03) (hash(x)=84550388)
-1060 train 4.501962 (lr=2.9412e-03) (hash(x)=86184566)
-1070 train 4.489652 (lr=2.9378e-03) (hash(x)=85644922)
-1080 train 4.424041 (lr=2.9343e-03) (hash(x)=86179801)
-1090 train 4.402932 (lr=2.9307e-03) (hash(x)=82868303)
-1100 val loss 4.4718
-1100 val perplexity 87.5132
-1100 train 4.499373 (lr=2.9270e-03) (hash(x)=96780388)
-1110 train 4.438651 (lr=2.9231e-03) (hash(x)=87223122)
-1120 train 4.404775 (lr=2.9192e-03) (hash(x)=77292786)
-1130 train 4.432858 (lr=2.9152e-03) (hash(x)=88761375)
-1140 train 4.343794 (lr=2.9112e-03) (hash(x)=80956468)
-1150 train 4.514395 (lr=2.9070e-03) (hash(x)=84725462)
-1160 train 4.505074 (lr=2.9027e-03) (hash(x)=76098113)
-1170 train 4.481860 (lr=2.8983e-03) (hash(x)=84387685)
-1180 train 4.430638 (lr=2.8939e-03) (hash(x)=76120321)
-1190 train 4.390044 (lr=2.8893e-03) (hash(x)=85974065)
-1200 val loss 4.4093
-1200 val perplexity 82.2094
-1200 train 4.295907 (lr=2.8847e-03) (hash(x)=79340644)
-1210 train 4.386940 (lr=2.8800e-03) (hash(x)=88345025)
-1220 train 4.294219 (lr=2.8751e-03) (hash(x)=86406230)
-1230 train 4.291184 (lr=2.8702e-03) (hash(x)=80608975)
-1240 train 4.346940 (lr=2.8652e-03) (hash(x)=81635225)
-1250 train 4.178073 (lr=2.8601e-03) (hash(x)=82126376)
-1260 train 4.354239 (lr=2.8550e-03) (hash(x)=83737972)
-1270 train 4.263730 (lr=2.8497e-03) (hash(x)=81132345)
-1280 train 4.351253 (lr=2.8443e-03) (hash(x)=85850404)
-1290 train 4.362507 (lr=2.8389e-03) (hash(x)=83490640)
-1300 val loss 4.3699
-1300 val perplexity 79.0351
-1300 train 4.344353 (lr=2.8333e-03) (hash(x)=77545187)
-1310 train 4.386909 (lr=2.8277e-03) (hash(x)=86412685)
-1320 train 4.289270 (lr=2.8220e-03) (hash(x)=86429640)
-1330 train 4.421586 (lr=2.8162e-03) (hash(x)=79645281)
-1340 train 4.373103 (lr=2.8103e-03) (hash(x)=82668541)
-1350 train 4.243225 (lr=2.8044e-03) (hash(x)=73627248)
-1360 train 4.340163 (lr=2.7983e-03) (hash(x)=74845133)
-1370 train 4.246260 (lr=2.7922e-03) (hash(x)=77850497)
-1380 train 4.272773 (lr=2.7860e-03) (hash(x)=76143954)
-1390 train 4.289058 (lr=2.7797e-03) (hash(x)=80675544)
-1400 val loss 4.3509
-1400 val perplexity 77.5472
-1400 train 4.262638 (lr=2.7733e-03) (hash(x)=76010938)
-1410 train 4.308837 (lr=2.7668e-03) (hash(x)=81260300)
-1420 train 4.425436 (lr=2.7603e-03) (hash(x)=83803629)
-1430 train 4.256982 (lr=2.7536e-03) (hash(x)=83840110)
-1440 train 4.439260 (lr=2.7469e-03) (hash(x)=97711831)
-1450 train 4.317918 (lr=2.7401e-03) (hash(x)=81110139)
-1460 train 4.245255 (lr=2.7333e-03) (hash(x)=90942839)
-1470 train 4.279834 (lr=2.7263e-03) (hash(x)=80721564)
-1480 train 4.381854 (lr=2.7193e-03) (hash(x)=77852059)
-1490 train 4.271631 (lr=2.7121e-03) (hash(x)=80011365)
-1500 val loss 4.3123
-1500 val perplexity 74.6096
-1500 train 4.299050 (lr=2.7050e-03) (hash(x)=84496142)
-1510 train 4.235112 (lr=2.6977e-03) (hash(x)=70186729)
-1520 train 4.259984 (lr=2.6903e-03) (hash(x)=74854227)
-1530 train 4.170083 (lr=2.6829e-03) (hash(x)=77468161)
-1540 train 4.182879 (lr=2.6754e-03) (hash(x)=87853059)
-1550 train 4.125948 (lr=2.6678e-03) (hash(x)=71225436)
-1560 train 4.224872 (lr=2.6602e-03) (hash(x)=84072783)
-1570 train 4.270792 (lr=2.6525e-03) (hash(x)=72723098)
-1580 train 4.286922 (lr=2.6447e-03) (hash(x)=90409866)
-1590 train 4.362185 (lr=2.6368e-03) (hash(x)=87481378)
-1600 val loss 4.2878
-1600 val perplexity 72.8058
-1600 train 4.345473 (lr=2.6289e-03) (hash(x)=77643862)
-1610 train 4.227240 (lr=2.6208e-03) (hash(x)=88862575)
-1620 train 4.243417 (lr=2.6128e-03) (hash(x)=84612581)
-1630 train 4.281562 (lr=2.6046e-03) (hash(x)=87075989)
-1640 train 4.165307 (lr=2.5964e-03) (hash(x)=88277361)
-1650 train 4.289641 (lr=2.5881e-03) (hash(x)=78750236)
-1660 train 4.203935 (lr=2.5797e-03) (hash(x)=82604581)
-1670 train 4.051434 (lr=2.5713e-03) (hash(x)=68482265)
-1680 train 4.175556 (lr=2.5628e-03) (hash(x)=75088835)
-1690 train 4.119174 (lr=2.5542e-03) (hash(x)=66060989)
-1700 val loss 4.2849
-1700 val perplexity 72.5972
-1700 train 4.278515 (lr=2.5455e-03) (hash(x)=79986754)
-1710 train 4.265571 (lr=2.5368e-03) (hash(x)=83657930)
-1720 train 4.213717 (lr=2.5281e-03) (hash(x)=81754135)
-1730 train 4.291076 (lr=2.5192e-03) (hash(x)=78904427)
-1740 train 4.195489 (lr=2.5103e-03) (hash(x)=85920177)
-1750 train 4.249199 (lr=2.5014e-03) (hash(x)=86573211)
-1760 train 4.208619 (lr=2.4924e-03) (hash(x)=81737128)
-1770 train 4.201405 (lr=2.4833e-03) (hash(x)=77400968)
-1780 train 4.211268 (lr=2.4741e-03) (hash(x)=73545497)
-1790 train 4.467120 (lr=2.4649e-03) (hash(x)=71641943)
-1800 val loss 4.2419
-1800 val perplexity 69.5405
-1800 train 4.305399 (lr=2.4556e-03) (hash(x)=87819781)
-1810 train 4.165203 (lr=2.4463e-03) (hash(x)=86870770)
-1820 train 4.175344 (lr=2.4369e-03) (hash(x)=82522211)
-1830 train 4.264242 (lr=2.4275e-03) (hash(x)=61947437)
-1840 train 4.135664 (lr=2.4180e-03) (hash(x)=79865406)
-1850 train 4.103046 (lr=2.4084e-03) (hash(x)=79828721)
-1860 train 4.243790 (lr=2.3988e-03) (hash(x)=80869571)
-1870 train 4.236415 (lr=2.3891e-03) (hash(x)=73780971)
-1880 train 4.190911 (lr=2.3794e-03) (hash(x)=79249549)
-1890 train 4.255154 (lr=2.3696e-03) (hash(x)=81041904)
-1900 val loss 4.2199
-1900 val perplexity 68.0266
-1900 train 4.307925 (lr=2.3598e-03) (hash(x)=82456430)
-1910 train 4.086958 (lr=2.3499e-03) (hash(x)=82222135)
-1920 train 4.124751 (lr=2.3400e-03) (hash(x)=70033249)
-1930 train 4.117317 (lr=2.3300e-03) (hash(x)=72887360)
-1940 train 4.159861 (lr=2.3200e-03) (hash(x)=83251100)
-1950 train 4.198470 (lr=2.3099e-03) (hash(x)=79660266)
-1960 train 4.081805 (lr=2.2998e-03) (hash(x)=78919068)
-1970 train 4.184942 (lr=2.2896e-03) (hash(x)=94690431)
-1980 train 4.008284 (lr=2.2793e-03) (hash(x)=88153756)
-1990 train 4.072060 (lr=2.2691e-03) (hash(x)=77195688)
-2000 val loss 4.2029
-2000 val perplexity 66.8811
-2000 train 4.164206 (lr=2.2588e-03) (hash(x)=81308591)
-2010 train 4.215806 (lr=2.2484e-03) (hash(x)=80205479)
-2020 train 4.125370 (lr=2.2380e-03) (hash(x)=81008704)
-2030 train 4.199712 (lr=2.2275e-03) (hash(x)=82914358)
-2040 train 4.206254 (lr=2.2170e-03) (hash(x)=88064399)
-2050 train 4.215066 (lr=2.2065e-03) (hash(x)=82889390)
-2060 train 4.287767 (lr=2.1959e-03) (hash(x)=80913554)
-2070 train 4.122939 (lr=2.1853e-03) (hash(x)=78121791)
-2080 train 4.258066 (lr=2.1746e-03) (hash(x)=75356657)
-2090 train 4.084968 (lr=2.1639e-03) (hash(x)=74048412)
-2100 val loss 4.1799
-2100 val perplexity 65.3561
-2100 train 4.008971 (lr=2.1532e-03) (hash(x)=68928225)
-2110 train 4.056435 (lr=2.1424e-03) (hash(x)=93734745)
-2120 train 4.052356 (lr=2.1316e-03) (hash(x)=72878164)
-2130 train 4.184589 (lr=2.1208e-03) (hash(x)=71508226)
-2140 train 4.138065 (lr=2.1099e-03) (hash(x)=84168671)
-2150 train 4.075830 (lr=2.0990e-03) (hash(x)=74673639)
-2160 train 4.230323 (lr=2.0881e-03) (hash(x)=75470031)
-2170 train 4.183902 (lr=2.0771e-03) (hash(x)=74307890)
-2180 train 4.299235 (lr=2.0661e-03) (hash(x)=77214245)
-2190 train 4.080501 (lr=2.0550e-03) (hash(x)=88628359)
-2200 val loss 4.1588
-2200 val perplexity 63.9973
-2200 train 4.097248 (lr=2.0440e-03) (hash(x)=74779126)
-2210 train 4.139411 (lr=2.0329e-03) (hash(x)=79817976)
-2220 train 4.089433 (lr=2.0217e-03) (hash(x)=75258996)
-2230 train 4.063831 (lr=2.0106e-03) (hash(x)=88164047)
-2240 train 4.046165 (lr=1.9994e-03) (hash(x)=78580686)
-2250 train 3.983289 (lr=1.9882e-03) (hash(x)=76510617)
-2260 train 4.063706 (lr=1.9770e-03) (hash(x)=76043966)
-2270 train 4.040863 (lr=1.9657e-03) (hash(x)=73062098)
-2280 train 4.263340 (lr=1.9544e-03) (hash(x)=81885909)
-2290 train 4.198758 (lr=1.9431e-03) (hash(x)=81481741)
-2300 val loss 4.1389
-2300 val perplexity 62.7337
-2300 train 4.059488 (lr=1.9318e-03) (hash(x)=82104275)
-2310 train 4.106212 (lr=1.9205e-03) (hash(x)=82137309)
-2320 train 4.084636 (lr=1.9091e-03) (hash(x)=86741167)
-2330 train 4.095303 (lr=1.8977e-03) (hash(x)=84796263)
-2340 train 4.078651 (lr=1.8863e-03) (hash(x)=169966529)
-2350 train 3.948800 (lr=1.8749e-03) (hash(x)=80006061)
-2360 train 4.003560 (lr=1.8635e-03) (hash(x)=71090999)
-2370 train 4.132515 (lr=1.8520e-03) (hash(x)=86641850)
-2380 train 4.028872 (lr=1.8406e-03) (hash(x)=84573253)
-2390 train 4.066772 (lr=1.8291e-03) (hash(x)=74483764)
-2400 val loss 4.1306
-2400 val perplexity 62.2147
-2400 train 4.035884 (lr=1.8176e-03) (hash(x)=78327659)
-2410 train 4.103717 (lr=1.8061e-03) (hash(x)=77273627)
-2420 train 3.971237 (lr=1.7946e-03) (hash(x)=76938049)
-2430 train 3.975082 (lr=1.7830e-03) (hash(x)=98449442)
-2440 train 3.835277 (lr=1.7715e-03) (hash(x)=78157797)
-2450 train 3.872050 (lr=1.7600e-03) (hash(x)=80637582)
-2460 train 3.858847 (lr=1.7484e-03) (hash(x)=80023854)
-2470 train 3.927261 (lr=1.7368e-03) (hash(x)=86678884)
-2480 train 4.147916 (lr=1.7253e-03) (hash(x)=84086469)
-2490 train 4.170737 (lr=1.7137e-03) (hash(x)=83131141)
-2500 val loss 4.1087
-2500 val perplexity 60.8688
-2500 train 4.086477 (lr=1.7021e-03) (hash(x)=82583497)
-2510 train 4.148054 (lr=1.6906e-03) (hash(x)=79164326)
-2520 train 4.055951 (lr=1.6790e-03) (hash(x)=76456503)
-2530 train 4.108335 (lr=1.6674e-03) (hash(x)=82001228)
-2540 train 4.147784 (lr=1.6558e-03) (hash(x)=75615595)
-2550 train 4.097579 (lr=1.6442e-03) (hash(x)=78397869)
-2560 train 4.097293 (lr=1.6326e-03) (hash(x)=75547032)
-2570 train 4.008590 (lr=1.6210e-03) (hash(x)=89201025)
-2580 train 3.994000 (lr=1.6094e-03) (hash(x)=89856704)
-2590 train 4.003076 (lr=1.5979e-03) (hash(x)=82175682)
-2600 val loss 4.0901
-2600 val perplexity 59.7485
-2600 train 4.014291 (lr=1.5863e-03) (hash(x)=78312826)
-2610 train 3.998513 (lr=1.5747e-03) (hash(x)=77066588)
-2620 train 3.839815 (lr=1.5632e-03) (hash(x)=78666061)
-2630 train 3.841430 (lr=1.5516e-03) (hash(x)=93762143)
-2640 train 3.862225 (lr=1.5400e-03) (hash(x)=83191587)
-2650 train 3.778178 (lr=1.5285e-03) (hash(x)=87169585)
-2660 train 3.994931 (lr=1.5170e-03) (hash(x)=86426388)
-2670 train 4.129117 (lr=1.5054e-03) (hash(x)=76692638)
-2680 train 4.045564 (lr=1.4939e-03) (hash(x)=77446063)
-2690 train 4.049449 (lr=1.4824e-03) (hash(x)=79809050)
-2700 val loss 4.0838
-2700 val perplexity 59.3718
-2700 train 3.976361 (lr=1.4709e-03) (hash(x)=83116823)
-2710 train 4.090723 (lr=1.4594e-03) (hash(x)=75622148)
-2720 train 4.025764 (lr=1.4480e-03) (hash(x)=80690512)
-2730 train 4.089745 (lr=1.4365e-03) (hash(x)=78009984)
-2740 train 4.044170 (lr=1.4251e-03) (hash(x)=74205488)
-2750 train 4.052027 (lr=1.4137e-03) (hash(x)=91013332)
-2760 train 3.968884 (lr=1.4023e-03) (hash(x)=76954961)
-2770 train 3.982518 (lr=1.3909e-03) (hash(x)=79390317)
-2780 train 3.849474 (lr=1.3795e-03) (hash(x)=70168783)
-2790 train 4.015470 (lr=1.3682e-03) (hash(x)=76028417)
-2800 val loss 4.0644
-2800 val perplexity 58.2321
-2800 train 3.837266 (lr=1.3569e-03) (hash(x)=77656050)
-2810 train 3.879454 (lr=1.3456e-03) (hash(x)=94248216)
-2820 train 3.945576 (lr=1.3343e-03) (hash(x)=78305078)
-2830 train 3.858145 (lr=1.3230e-03) (hash(x)=79948848)
-2840 train 3.729096 (lr=1.3118e-03) (hash(x)=85341024)
-2850 train 4.031613 (lr=1.3006e-03) (hash(x)=78735170)
-2860 train 4.282998 (lr=1.2894e-03) (hash(x)=71616419)
-2870 train 4.050553 (lr=1.2783e-03) (hash(x)=78656517)
-2880 train 4.067604 (lr=1.2671e-03) (hash(x)=80073987)
-2890 train 3.997418 (lr=1.2560e-03) (hash(x)=76894809)
-2900 val loss 4.0398
-2900 val perplexity 56.8130
-2900 train 3.973112 (lr=1.2450e-03) (hash(x)=80499838)
-2910 train 4.022591 (lr=1.2339e-03) (hash(x)=72673354)
-2920 train 4.007917 (lr=1.2229e-03) (hash(x)=84265768)
-2930 train 4.034629 (lr=1.2119e-03) (hash(x)=79612060)
-2940 train 3.889514 (lr=1.2010e-03) (hash(x)=74970087)
-2950 train 4.046635 (lr=1.1901e-03) (hash(x)=84166818)
-2960 train 4.031668 (lr=1.1792e-03) (hash(x)=89410221)
-2970 train 3.972214 (lr=1.1684e-03) (hash(x)=75672566)
-2980 train 3.830431 (lr=1.1576e-03) (hash(x)=81760314)
-2990 train 3.806308 (lr=1.1468e-03) (hash(x)=80605200)
-3000 val loss 4.0389
-3000 val perplexity 56.7638
-3000 train 3.799681 (lr=1.1361e-03) (hash(x)=83804735)
-3010 train 3.725994 (lr=1.1254e-03) (hash(x)=77015303)
-3020 train 3.793949 (lr=1.1147e-03) (hash(x)=81464523)
-3030 train 3.988609 (lr=1.1041e-03) (hash(x)=80168230)
-3040 train 3.934301 (lr=1.0935e-03) (hash(x)=84817006)
-3050 train 4.039880 (lr=1.0830e-03) (hash(x)=71601811)
-3060 train 3.964794 (lr=1.0725e-03) (hash(x)=85499733)
-3070 train 4.017941 (lr=1.0620e-03) (hash(x)=78670408)
-3080 train 3.912703 (lr=1.0516e-03) (hash(x)=77120468)
-3090 train 4.017819 (lr=1.0412e-03) (hash(x)=77927426)
-3100 val loss 4.0168
-3100 val perplexity 55.5239
-3100 train 4.033545 (lr=1.0309e-03) (hash(x)=83998606)
-3110 train 3.933780 (lr=1.0207e-03) (hash(x)=77990218)
-3120 train 3.846051 (lr=1.0104e-03) (hash(x)=81623970)
-3130 train 3.823037 (lr=1.0002e-03) (hash(x)=75014781)
-3140 train 3.874909 (lr=9.9011e-04) (hash(x)=72591250)
-3150 train 3.886486 (lr=9.8002e-04) (hash(x)=81421847)
-3160 train 3.935823 (lr=9.6999e-04) (hash(x)=75112631)
-3170 train 4.031675 (lr=9.6000e-04) (hash(x)=87518033)
-3180 train 3.880362 (lr=9.5007e-04) (hash(x)=78648348)
-3190 train 3.998816 (lr=9.4019e-04) (hash(x)=78270029)
-3200 val loss 3.9974
-3200 val perplexity 54.4579
-3200 train 4.070870 (lr=9.3036e-04) (hash(x)=83380714)
-3210 train 4.263573 (lr=9.2058e-04) (hash(x)=67804991)
-3220 train 3.981577 (lr=9.1085e-04) (hash(x)=76968804)
-3230 train 3.917284 (lr=9.0118e-04) (hash(x)=75798670)
-3240 train 3.987289 (lr=8.9157e-04) (hash(x)=83192811)
-3250 train 3.931322 (lr=8.8201e-04) (hash(x)=81659789)
-3260 train 3.974842 (lr=8.7251e-04) (hash(x)=80622502)
-3270 train 3.940087 (lr=8.6307e-04) (hash(x)=85436511)
-3280 train 3.888876 (lr=8.5368e-04) (hash(x)=80589180)
-3290 train 4.024581 (lr=8.4435e-04) (hash(x)=85747193)
-3300 val loss 3.9925
-3300 val perplexity 54.1877
-3300 train 3.889544 (lr=8.3508e-04) (hash(x)=74635692)
-3310 train 3.874641 (lr=8.2588e-04) (hash(x)=82045455)
-3320 train 3.744339 (lr=8.1673e-04) (hash(x)=73249173)
-3330 train 3.707591 (lr=8.0764e-04) (hash(x)=71492338)
-3340 train 4.037749 (lr=7.9862e-04) (hash(x)=76374071)
-3350 train 4.009339 (lr=7.8966e-04) (hash(x)=80474064)
-3360 train 3.921067 (lr=7.8076e-04) (hash(x)=84390892)
-3370 train 3.966509 (lr=7.7192e-04) (hash(x)=83399949)
-3380 train 4.018016 (lr=7.6315e-04) (hash(x)=77648059)
-3390 train 3.992605 (lr=7.5445e-04) (hash(x)=80152701)
-3400 val loss 3.9707
-3400 val perplexity 53.0238
-3400 train 4.044931 (lr=7.4581e-04) (hash(x)=81952545)
-3410 train 3.997742 (lr=7.3724e-04) (hash(x)=80908993)
-3420 train 4.041810 (lr=7.2874e-04) (hash(x)=79610037)
-3430 train 3.897022 (lr=7.2030e-04) (hash(x)=87624382)
-3440 train 3.968519 (lr=7.1193e-04) (hash(x)=82336381)
-3450 train 3.943166 (lr=7.0363e-04) (hash(x)=87687835)
-3460 train 3.939703 (lr=6.9541e-04) (hash(x)=76376135)
-3470 train 3.857625 (lr=6.8725e-04) (hash(x)=79331391)
-3480 train 3.761054 (lr=6.7916e-04) (hash(x)=107002681)
-3490 train 3.847413 (lr=6.7114e-04) (hash(x)=77465514)
-3500 val loss 3.9683
-3500 val perplexity 52.8921
-3500 train 3.803287 (lr=6.6320e-04) (hash(x)=88237229)
-3510 train 3.875391 (lr=6.5533e-04) (hash(x)=81011739)
-3520 train 3.923555 (lr=6.4753e-04) (hash(x)=64643427)
-3530 train 4.201582 (lr=6.3981e-04) (hash(x)=78029539)
-3540 train 4.027355 (lr=6.3216e-04) (hash(x)=83188968)
-3550 train 4.050554 (lr=6.2458e-04) (hash(x)=86104185)
-3560 train 3.970918 (lr=6.1708e-04) (hash(x)=81993629)
-3570 train 3.948529 (lr=6.0966e-04) (hash(x)=72719368)
-3580 train 3.956050 (lr=6.0231e-04) (hash(x)=90091487)
-3590 train 3.841394 (lr=5.9504e-04) (hash(x)=77393152)
-3600 val loss 3.9487
-3600 val perplexity 51.8664
-3600 train 3.953414 (lr=5.8785e-04) (hash(x)=73103504)
-3610 train 3.955288 (lr=5.8074e-04) (hash(x)=84429400)
-3620 train 3.934010 (lr=5.7370e-04) (hash(x)=77021795)
-3630 train 3.883801 (lr=5.6675e-04) (hash(x)=92830605)
-3640 train 4.081987 (lr=5.5987e-04) (hash(x)=78313175)
-3650 train 3.878694 (lr=5.5308e-04) (hash(x)=85395549)
-3660 train 3.675702 (lr=5.4636e-04) (hash(x)=78114459)
-3670 train 3.802121 (lr=5.3973e-04) (hash(x)=74968316)
-3680 train 3.730803 (lr=5.3318e-04) (hash(x)=73358737)
-3690 train 3.823828 (lr=5.2671e-04) (hash(x)=76399442)
-3700 val loss 3.9488
-3700 val perplexity 51.8727
-3700 train 3.837596 (lr=5.2033e-04) (hash(x)=74039273)
-3710 train 4.010085 (lr=5.1402e-04) (hash(x)=79299680)
-3720 train 3.924351 (lr=5.0780e-04) (hash(x)=94701498)
-3730 train 4.005398 (lr=5.0167e-04) (hash(x)=75352071)
-3740 train 3.883553 (lr=4.9562e-04) (hash(x)=77909487)
-3750 train 3.991132 (lr=4.8965e-04) (hash(x)=73986730)
-3760 train 3.947338 (lr=4.8377e-04) (hash(x)=79325763)
-3770 train 3.993113 (lr=4.7798e-04) (hash(x)=72457818)
-3780 train 4.123717 (lr=4.7227e-04) (hash(x)=71775590)
-3790 train 4.009879 (lr=4.6665e-04) (hash(x)=82638943)
-3800 val loss 3.9316
-3800 val perplexity 50.9875
-3800 train 3.988941 (lr=4.6112e-04) (hash(x)=79965893)
-3810 train 3.927420 (lr=4.5567e-04) (hash(x)=72598235)
-3820 train 3.905786 (lr=4.5031e-04) (hash(x)=83113889)
-3830 train 3.966394 (lr=4.4504e-04) (hash(x)=74434590)
-3840 train 3.884064 (lr=4.3986e-04) (hash(x)=82860348)
-3850 train 3.822701 (lr=4.3477e-04) (hash(x)=78067565)
-3860 train 3.885835 (lr=4.2977e-04) (hash(x)=82592498)
-3870 train 3.814889 (lr=4.2486e-04) (hash(x)=81820733)
-3880 train 3.833953 (lr=4.2004e-04) (hash(x)=87709040)
-3890 train 3.878005 (lr=4.1530e-04) (hash(x)=70379093)
-3900 val loss 3.9248
-3900 val perplexity 50.6429
-3900 train 4.000222 (lr=4.1066e-04) (hash(x)=76597431)
-3910 train 3.884073 (lr=4.0611e-04) (hash(x)=90490716)
-3920 train 3.989560 (lr=4.0166e-04) (hash(x)=81970659)
-3930 train 3.971238 (lr=3.9729e-04) (hash(x)=81496334)
-3940 train 3.952162 (lr=3.9302e-04) (hash(x)=75717605)
-3950 train 3.899008 (lr=3.8884e-04) (hash(x)=82749357)
-3960 train 3.926837 (lr=3.8475e-04) (hash(x)=89355157)
-3970 train 3.882582 (lr=3.8076e-04) (hash(x)=78980403)
-3980 train 3.857445 (lr=3.7685e-04) (hash(x)=76627217)
-3990 train 3.857316 (lr=3.7305e-04) (hash(x)=72412879)
-4000 val loss 3.9193
-4000 val perplexity 50.3673
-4000 train 3.871494 (lr=3.6933e-04) (hash(x)=83018142)
-4010 train 3.888137 (lr=3.6572e-04) (hash(x)=81272436)
-4020 train 3.812459 (lr=3.6219e-04) (hash(x)=85497482)
-4030 train 3.884651 (lr=3.5876e-04) (hash(x)=85241734)
-4040 train 3.851225 (lr=3.5543e-04) (hash(x)=77925307)
-4050 train 3.854450 (lr=3.5219e-04) (hash(x)=84826179)
-4060 train 3.909109 (lr=3.4905e-04) (hash(x)=83606764)
-4070 train 3.823230 (lr=3.4600e-04) (hash(x)=80567590)
-4080 train 3.876994 (lr=3.4305e-04) (hash(x)=76860998)
-4090 train 3.911129 (lr=3.4019e-04) (hash(x)=74902328)
-4100 val loss 3.9074
-4100 val perplexity 49.7699
-4100 train 3.956040 (lr=3.3744e-04) (hash(x)=82832041)
-4110 train 3.834095 (lr=3.3477e-04) (hash(x)=79143262)
-4120 train 3.862065 (lr=3.3221e-04) (hash(x)=77038149)
-4130 train 4.043860 (lr=3.2974e-04) (hash(x)=86339074)
-4140 train 4.110851 (lr=3.2737e-04) (hash(x)=76686216)
-4150 train 3.882805 (lr=3.2510e-04) (hash(x)=70522682)
-4160 train 3.849910 (lr=3.2292e-04) (hash(x)=90958555)
-4170 train 3.871410 (lr=3.2085e-04) (hash(x)=91463532)
-4180 train 3.863433 (lr=3.1887e-04) (hash(x)=81959329)
-4190 train 3.820309 (lr=3.1699e-04) (hash(x)=83146752)
-4200 val loss 3.9104
-4200 val perplexity 49.9207
-4200 train 3.801174 (lr=3.1520e-04) (hash(x)=78361715)
-4210 train 3.953127 (lr=3.1352e-04) (hash(x)=87364889)
-4220 train 3.804209 (lr=3.1193e-04) (hash(x)=70465156)
-4230 train 3.960895 (lr=3.1044e-04) (hash(x)=84524081)
-4240 train 3.914124 (lr=3.0905e-04) (hash(x)=77824868)
-4250 train 3.929214 (lr=3.0776e-04) (hash(x)=81710711)
-4260 train 3.907346 (lr=3.0657e-04) (hash(x)=76362728)
-4270 train 3.899946 (lr=3.0548e-04) (hash(x)=83115208)
-4280 train 3.815095 (lr=3.0449e-04) (hash(x)=87218314)
-4290 train 3.973376 (lr=3.0359e-04) (hash(x)=74582673)
-4300 val loss 3.9046
-4300 val perplexity 49.6296
-4300 train 3.848432 (lr=3.0280e-04) (hash(x)=77379615)
-4310 train 3.824938 (lr=3.0210e-04) (hash(x)=78669579)
-4320 train 3.936286 (lr=3.0150e-04) (hash(x)=83066608)
-4330 train 3.904002 (lr=3.0101e-04) (hash(x)=83037340)
-4340 train 3.940283 (lr=3.0061e-04) (hash(x)=82849771)
-4350 train 3.878209 (lr=3.0031e-04) (hash(x)=76693985)
-4360 train 3.966424 (lr=3.0011e-04) (hash(x)=77745394)
-4370 train 3.931016 (lr=3.0001e-04) (hash(x)=79954388)
-4374 val loss 3.8982
-4374 val perplexity 49.3136
+0 val loss 11.2828
+0 val perplexity 79446.0234
+0 train 11.286331 (lr=4.1958e-06) (hash(x)=83426457)
+10 train 9.906208 (lr=4.6154e-05) (hash(x)=78934557)
+20 train 9.362267 (lr=8.8112e-05) (hash(x)=77027105)
+30 train 8.592892 (lr=1.3007e-04) (hash(x)=71598963)
+40 train 8.011431 (lr=1.7203e-04) (hash(x)=82386827)
+50 train 7.856654 (lr=2.1399e-04) (hash(x)=85920934)
+60 train 7.661503 (lr=2.5594e-04) (hash(x)=81616761)
+70 train 7.552011 (lr=2.9790e-04) (hash(x)=86773189)
+80 train 7.308474 (lr=3.3986e-04) (hash(x)=71973470)
+90 train 7.206971 (lr=3.8182e-04) (hash(x)=83854524)
+100 val loss 7.0813
+100 val perplexity 1189.5540
+100 train 6.997993 (lr=4.2378e-04) (hash(x)=77188949)
+110 train 6.925124 (lr=4.6573e-04) (hash(x)=72138399)
+120 train 6.788277 (lr=5.0769e-04) (hash(x)=80173123)
+130 train 6.603106 (lr=5.4965e-04) (hash(x)=71981857)
+140 train 6.586471 (lr=5.9161e-04) (hash(x)=75014146)
+150 train 6.462921 (lr=6.3357e-04) (hash(x)=83329326)
+160 train 6.314249 (lr=6.7552e-04) (hash(x)=76522382)
+170 train 6.600364 (lr=7.1748e-04) (hash(x)=88508613)
+180 train 6.357422 (lr=7.5944e-04) (hash(x)=90018376)
+190 train 6.293137 (lr=8.0140e-04) (hash(x)=79854209)
+200 val loss 6.2148
+200 val perplexity 500.1002
+200 train 6.350214 (lr=8.4336e-04) (hash(x)=78560782)
+210 train 6.190270 (lr=8.8531e-04) (hash(x)=83733723)
+220 train 6.033686 (lr=9.2727e-04) (hash(x)=79271902)
+230 train 6.007542 (lr=9.6923e-04) (hash(x)=83461326)
+240 train 5.944594 (lr=1.0112e-03) (hash(x)=90489642)
+250 train 5.903481 (lr=1.0531e-03) (hash(x)=79614895)
+260 train 5.834649 (lr=1.0951e-03) (hash(x)=88646240)
+270 train 5.824803 (lr=1.1371e-03) (hash(x)=85620399)
+280 train 5.863040 (lr=1.1790e-03) (hash(x)=89054642)
+290 train 5.616792 (lr=1.2210e-03) (hash(x)=81160339)
+300 val loss 5.7095
+300 val perplexity 301.7280
+300 train 5.692072 (lr=1.2629e-03) (hash(x)=75259104)
+310 train 5.566352 (lr=1.3049e-03) (hash(x)=84448689)
+320 train 5.478696 (lr=1.3469e-03) (hash(x)=88463193)
+330 train 5.620771 (lr=1.3888e-03) (hash(x)=76313584)
+340 train 5.602615 (lr=1.4308e-03) (hash(x)=84598604)
+350 train 5.466035 (lr=1.4727e-03) (hash(x)=80551549)
+360 train 5.556177 (lr=1.5147e-03) (hash(x)=77926207)
+370 train 5.520696 (lr=1.5566e-03) (hash(x)=78142578)
+380 train 5.450786 (lr=1.5986e-03) (hash(x)=80853941)
+390 train 5.491229 (lr=1.6406e-03) (hash(x)=73606747)
+400 val loss 5.4037
+400 val perplexity 222.2381
+400 train 5.355968 (lr=1.6825e-03) (hash(x)=75283154)
+410 train 5.462108 (lr=1.7245e-03) (hash(x)=77829445)
+420 train 5.354402 (lr=1.7664e-03) (hash(x)=92661009)
+430 train 5.237918 (lr=1.8084e-03) (hash(x)=74159185)
+440 train 5.162126 (lr=1.8503e-03) (hash(x)=77656452)
+450 train 5.158522 (lr=1.8923e-03) (hash(x)=78633015)
+460 train 5.150229 (lr=1.9343e-03) (hash(x)=79484077)
+470 train 5.162044 (lr=1.9762e-03) (hash(x)=85308160)
+480 train 5.229625 (lr=2.0182e-03) (hash(x)=86733273)
+490 train 5.129216 (lr=2.0601e-03) (hash(x)=77806270)
+500 val loss 5.1758
+500 val perplexity 176.9294
+500 train 5.161263 (lr=2.1021e-03) (hash(x)=79154473)
+510 train 5.218800 (lr=2.1441e-03) (hash(x)=82252738)
+520 train 5.114560 (lr=2.1860e-03) (hash(x)=79224242)
+530 train 5.171950 (lr=2.2280e-03) (hash(x)=77695815)
+540 train 5.053813 (lr=2.2699e-03) (hash(x)=72435526)
+550 train 5.009875 (lr=2.3119e-03) (hash(x)=78722012)
+560 train 5.050132 (lr=2.3538e-03) (hash(x)=86379154)
+570 train 4.915636 (lr=2.3958e-03) (hash(x)=75571834)
+580 train 4.914773 (lr=2.4378e-03) (hash(x)=75212674)
+590 train 4.924623 (lr=2.4797e-03) (hash(x)=83039622)
+600 val loss 4.9977
+600 val perplexity 148.0761
+600 train 4.880018 (lr=2.5217e-03) (hash(x)=75453059)
+610 train 4.804048 (lr=2.5636e-03) (hash(x)=78156260)
+620 train 4.911411 (lr=2.6056e-03) (hash(x)=73224372)
+630 train 4.882734 (lr=2.6476e-03) (hash(x)=86669689)
+640 train 4.852366 (lr=2.6895e-03) (hash(x)=76838089)
+650 train 4.891253 (lr=2.7315e-03) (hash(x)=77816509)
+660 train 4.895391 (lr=2.7734e-03) (hash(x)=78714357)
+670 train 4.791610 (lr=2.8154e-03) (hash(x)=67108441)
+680 train 4.748251 (lr=2.8573e-03) (hash(x)=74297523)
+690 train 4.863575 (lr=2.8993e-03) (hash(x)=81807227)
+700 val loss 4.8200
+700 val perplexity 123.9599
+700 train 4.686471 (lr=2.9413e-03) (hash(x)=80680202)
+710 train 4.779562 (lr=2.9832e-03) (hash(x)=81685619)
+720 train 4.747033 (lr=3.0000e-03) (hash(x)=88293912)
+730 train 4.679256 (lr=2.9999e-03) (hash(x)=81156131)
+740 train 4.633346 (lr=2.9997e-03) (hash(x)=73015886)
+750 train 4.738198 (lr=2.9994e-03) (hash(x)=78392112)
+760 train 4.695868 (lr=2.9990e-03) (hash(x)=82475322)
+770 train 4.666807 (lr=2.9985e-03) (hash(x)=73069343)
+780 train 4.866407 (lr=2.9979e-03) (hash(x)=93027554)
+790 train 4.687624 (lr=2.9972e-03) (hash(x)=73364444)
+800 val loss 4.7007
+800 val perplexity 110.0204
+800 train 4.698443 (lr=2.9964e-03) (hash(x)=78801867)
+810 train 4.680539 (lr=2.9955e-03) (hash(x)=82551837)
+820 train 4.519366 (lr=2.9945e-03) (hash(x)=78287067)
+830 train 4.562117 (lr=2.9934e-03) (hash(x)=82837338)
+840 train 4.492977 (lr=2.9922e-03) (hash(x)=72494345)
+850 train 4.556274 (lr=2.9909e-03) (hash(x)=80840474)
+860 train 4.452876 (lr=2.9896e-03) (hash(x)=77298722)
+870 train 4.477791 (lr=2.9881e-03) (hash(x)=80296151)
+880 train 4.577305 (lr=2.9865e-03) (hash(x)=72779638)
+890 train 4.571060 (lr=2.9848e-03) (hash(x)=78473759)
+900 val loss 4.6562
+900 val perplexity 105.2381
+900 train 4.551015 (lr=2.9830e-03) (hash(x)=76625599)
+910 train 4.633257 (lr=2.9811e-03) (hash(x)=82707605)
+920 train 4.562136 (lr=2.9792e-03) (hash(x)=73411530)
+930 train 4.824069 (lr=2.9771e-03) (hash(x)=84116802)
+940 train 4.593833 (lr=2.9749e-03) (hash(x)=84662792)
+950 train 4.461058 (lr=2.9726e-03) (hash(x)=77520125)
+960 train 4.600173 (lr=2.9703e-03) (hash(x)=83412876)
+970 train 4.547418 (lr=2.9678e-03) (hash(x)=76679743)
+980 train 4.555427 (lr=2.9652e-03) (hash(x)=83578850)
+990 train 4.559372 (lr=2.9626e-03) (hash(x)=73508305)
+1000 val loss 4.5499
+1000 val perplexity 94.6207
+1000 train 4.558197 (lr=2.9598e-03) (hash(x)=73551731)
+1010 train 4.397978 (lr=2.9570e-03) (hash(x)=75472577)
+1020 train 4.450787 (lr=2.9540e-03) (hash(x)=74288773)
+1030 train 4.511033 (lr=2.9510e-03) (hash(x)=74358518)
+1040 train 4.441741 (lr=2.9478e-03) (hash(x)=81742445)
+1050 train 4.296555 (lr=2.9446e-03) (hash(x)=84334093)
+1060 train 4.293860 (lr=2.9412e-03) (hash(x)=83112407)
+1070 train 4.442715 (lr=2.9378e-03) (hash(x)=75361341)
+1080 train 4.323700 (lr=2.9343e-03) (hash(x)=80067829)
+1090 train 4.321742 (lr=2.9307e-03) (hash(x)=75084510)
+1100 val loss 4.4956
+1100 val perplexity 89.6248
+1100 train 4.484448 (lr=2.9270e-03) (hash(x)=81272082)
+1110 train 4.477275 (lr=2.9231e-03) (hash(x)=79636180)
+1120 train 4.435353 (lr=2.9192e-03) (hash(x)=106787061)
+1130 train 4.519568 (lr=2.9152e-03) (hash(x)=82157433)
+1140 train 4.472306 (lr=2.9112e-03) (hash(x)=74242006)
+1150 train 4.511582 (lr=2.9070e-03) (hash(x)=77502116)
+1160 train 4.459952 (lr=2.9027e-03) (hash(x)=78658526)
+1170 train 4.474169 (lr=2.8983e-03) (hash(x)=88605653)
+1180 train 4.404093 (lr=2.8939e-03) (hash(x)=75715872)
+1190 train 4.365394 (lr=2.8893e-03) (hash(x)=85140216)
+1200 val loss 4.4185
+1200 val perplexity 82.9703
+1200 train 4.413062 (lr=2.8847e-03) (hash(x)=76843977)
+1210 train 4.409280 (lr=2.8800e-03) (hash(x)=74668022)
+1220 train 4.354440 (lr=2.8751e-03) (hash(x)=73771388)
+1230 train 4.294598 (lr=2.8702e-03) (hash(x)=79549890)
+1240 train 4.387101 (lr=2.8652e-03) (hash(x)=80768426)
+1250 train 4.264572 (lr=2.8601e-03) (hash(x)=78485732)
+1260 train 4.200811 (lr=2.8550e-03) (hash(x)=75297547)
+1270 train 4.229288 (lr=2.8497e-03) (hash(x)=80488390)
+1280 train 4.536900 (lr=2.8443e-03) (hash(x)=83986686)
+1290 train 4.488621 (lr=2.8389e-03) (hash(x)=80260787)
+1300 val loss 4.3912
+1300 val perplexity 80.7406
+1300 train 4.522745 (lr=2.8333e-03) (hash(x)=91333241)
+1310 train 4.354868 (lr=2.8277e-03) (hash(x)=76196195)
+1320 train 4.334889 (lr=2.8220e-03) (hash(x)=89902604)
+1330 train 4.403556 (lr=2.8162e-03) (hash(x)=80055610)
+1340 train 4.390299 (lr=2.8103e-03) (hash(x)=75933940)
+1350 train 4.358490 (lr=2.8044e-03) (hash(x)=82880341)
+1360 train 4.341515 (lr=2.7983e-03) (hash(x)=74279731)
+1370 train 4.328010 (lr=2.7922e-03) (hash(x)=80381849)
+1380 train 4.412302 (lr=2.7860e-03) (hash(x)=80656732)
+1390 train 4.207211 (lr=2.7797e-03) (hash(x)=75892076)
+1400 val loss 4.3670
+1400 val perplexity 78.8098
+1400 train 4.270935 (lr=2.7733e-03) (hash(x)=85316269)
+1410 train 4.237441 (lr=2.7668e-03) (hash(x)=76176954)
+1420 train 4.083758 (lr=2.7603e-03) (hash(x)=82873585)
+1430 train 4.157396 (lr=2.7536e-03) (hash(x)=76423569)
+1440 train 4.217734 (lr=2.7469e-03) (hash(x)=77452162)
+1450 train 4.280375 (lr=2.7401e-03) (hash(x)=81479795)
+1460 train 4.067278 (lr=2.7333e-03) (hash(x)=83885401)
+1470 train 4.267023 (lr=2.7263e-03) (hash(x)=88229400)
+1480 train 4.394376 (lr=2.7193e-03) (hash(x)=80388539)
+1490 train 4.349235 (lr=2.7121e-03) (hash(x)=76421482)
+1500 val loss 4.3241
+1500 val perplexity 75.4987
+1500 train 4.289557 (lr=2.7050e-03) (hash(x)=82020652)
+1510 train 4.294731 (lr=2.6977e-03) (hash(x)=80450641)
+1520 train 4.229042 (lr=2.6903e-03) (hash(x)=80425758)
+1530 train 4.291595 (lr=2.6829e-03) (hash(x)=77928744)
+1540 train 4.258931 (lr=2.6754e-03) (hash(x)=81682588)
+1550 train 4.407263 (lr=2.6678e-03) (hash(x)=76218138)
+1560 train 4.241416 (lr=2.6602e-03) (hash(x)=82961366)
+1570 train 4.111447 (lr=2.6525e-03) (hash(x)=80344260)
+1580 train 4.195801 (lr=2.6447e-03) (hash(x)=81840773)
+1590 train 4.094424 (lr=2.6368e-03) (hash(x)=79596457)
+1600 val loss 4.3060
+1600 val perplexity 74.1396
+1600 train 4.146108 (lr=2.6289e-03) (hash(x)=78425415)
+1610 train 4.279434 (lr=2.6208e-03) (hash(x)=80735884)
+1620 train 4.234827 (lr=2.6128e-03) (hash(x)=82867340)
+1630 train 4.279835 (lr=2.6046e-03) (hash(x)=81152826)
+1640 train 4.312287 (lr=2.5964e-03) (hash(x)=79292243)
+1650 train 4.207090 (lr=2.5881e-03) (hash(x)=85633419)
+1660 train 4.206246 (lr=2.5797e-03) (hash(x)=56879214)
+1670 train 4.189358 (lr=2.5713e-03) (hash(x)=78580566)
+1680 train 4.128489 (lr=2.5628e-03) (hash(x)=73904044)
+1690 train 4.156729 (lr=2.5542e-03) (hash(x)=80456616)
+1700 val loss 4.2627
+1700 val perplexity 71.0018
+1700 train 4.157961 (lr=2.5455e-03) (hash(x)=83453850)
+1710 train 4.153193 (lr=2.5368e-03) (hash(x)=81246482)
+1720 train 4.153788 (lr=2.5281e-03) (hash(x)=74302931)
+1730 train 4.176238 (lr=2.5192e-03) (hash(x)=76366637)
+1740 train 4.101587 (lr=2.5103e-03) (hash(x)=113414000)
+1750 train 4.123521 (lr=2.5014e-03) (hash(x)=80537001)
+1760 train 4.248558 (lr=2.4924e-03) (hash(x)=80610857)
+1770 train 4.314498 (lr=2.4833e-03) (hash(x)=89782327)
+1780 train 4.246590 (lr=2.4741e-03) (hash(x)=82999075)
+1790 train 4.293472 (lr=2.4649e-03) (hash(x)=82486297)
+1800 val loss 4.2564
+1800 val perplexity 70.5522
+1800 train 4.253897 (lr=2.4556e-03) (hash(x)=79159575)
+1810 train 4.246717 (lr=2.4463e-03) (hash(x)=82428296)
+1820 train 4.229787 (lr=2.4369e-03) (hash(x)=72754716)
+1830 train 4.129428 (lr=2.4275e-03) (hash(x)=66172446)
+1840 train 4.207934 (lr=2.4180e-03) (hash(x)=79104767)
+1850 train 4.210263 (lr=2.4084e-03) (hash(x)=71073869)
+1860 train 4.105842 (lr=2.3988e-03) (hash(x)=76923769)
+1870 train 4.203895 (lr=2.3891e-03) (hash(x)=77628946)
+1880 train 4.106905 (lr=2.3794e-03) (hash(x)=87651837)
+1890 train 4.209055 (lr=2.3696e-03) (hash(x)=79373565)
+1900 val loss 4.2355
+1900 val perplexity 69.0968
+1900 train 4.275647 (lr=2.3598e-03) (hash(x)=86194345)
+1910 train 4.200642 (lr=2.3499e-03) (hash(x)=80865794)
+1920 train 4.165070 (lr=2.3400e-03) (hash(x)=79368476)
+1930 train 4.172744 (lr=2.3300e-03) (hash(x)=79247868)
+1940 train 4.120127 (lr=2.3200e-03) (hash(x)=72845520)
+1950 train 4.140367 (lr=2.3099e-03) (hash(x)=83254637)
+1960 train 4.086664 (lr=2.2998e-03) (hash(x)=81975531)
+1970 train 4.173362 (lr=2.2896e-03) (hash(x)=72939168)
+1980 train 4.077135 (lr=2.2793e-03) (hash(x)=82280940)
+1990 train 4.050721 (lr=2.2691e-03) (hash(x)=78119475)
+2000 val loss 4.2136
+2000 val perplexity 67.5986
+2000 train 4.087288 (lr=2.2588e-03) (hash(x)=83046712)
+2010 train 4.146014 (lr=2.2484e-03) (hash(x)=73468195)
+2020 train 4.087158 (lr=2.2380e-03) (hash(x)=74809817)
+2030 train 4.076430 (lr=2.2275e-03) (hash(x)=76037020)
+2040 train 4.298106 (lr=2.2170e-03) (hash(x)=79058361)
+2050 train 4.187833 (lr=2.2065e-03) (hash(x)=85014027)
+2060 train 4.161737 (lr=2.1959e-03) (hash(x)=78616227)
+2070 train 4.140214 (lr=2.1853e-03) (hash(x)=75928855)
+2080 train 4.237118 (lr=2.1746e-03) (hash(x)=87553274)
+2090 train 4.142758 (lr=2.1639e-03) (hash(x)=79805596)
+2100 val loss 4.1945
+2100 val perplexity 66.3176
+2100 train 4.011424 (lr=2.1532e-03) (hash(x)=71523881)
+2110 train 4.156861 (lr=2.1424e-03) (hash(x)=78431736)
+2120 train 4.056497 (lr=2.1316e-03) (hash(x)=76846294)
+2130 train 4.080083 (lr=2.1208e-03) (hash(x)=72808367)
+2140 train 3.896003 (lr=2.1099e-03) (hash(x)=71871519)
+2150 train 4.026684 (lr=2.0990e-03) (hash(x)=79598530)
+2160 train 4.086583 (lr=2.0881e-03) (hash(x)=81709468)
+2170 train 4.058995 (lr=2.0771e-03) (hash(x)=74075345)
+2180 train 4.214379 (lr=2.0661e-03) (hash(x)=79292886)
+2190 train 4.144413 (lr=2.0550e-03) (hash(x)=84316039)
+2200 val loss 4.1830
+2200 val perplexity 65.5629
+2200 train 4.222255 (lr=2.0440e-03) (hash(x)=84083188)
+2210 train 4.140667 (lr=2.0329e-03) (hash(x)=87482474)
+2220 train 4.254497 (lr=2.0217e-03) (hash(x)=73018507)
+2230 train 4.124879 (lr=2.0106e-03) (hash(x)=80194063)
+2240 train 4.029892 (lr=1.9994e-03) (hash(x)=70761174)
+2250 train 4.088642 (lr=1.9882e-03) (hash(x)=78296069)
+2260 train 4.058685 (lr=1.9770e-03) (hash(x)=71486863)
+2270 train 4.065935 (lr=1.9657e-03) (hash(x)=73106274)
+2280 train 4.023127 (lr=1.9544e-03) (hash(x)=65724504)
+2290 train 4.141122 (lr=1.9431e-03) (hash(x)=77464207)
+2300 val loss 4.1786
+2300 val perplexity 65.2746
+2300 train 4.287225 (lr=1.9318e-03) (hash(x)=79718531)
+2310 train 4.151774 (lr=1.9205e-03) (hash(x)=79578564)
+2320 train 4.075782 (lr=1.9091e-03) (hash(x)=77538251)
+2330 train 4.189883 (lr=1.8977e-03) (hash(x)=77684942)
+2340 train 4.153886 (lr=1.8863e-03) (hash(x)=74747888)
+2350 train 4.100947 (lr=1.8749e-03) (hash(x)=88812932)
+2360 train 4.080767 (lr=1.8635e-03) (hash(x)=77049145)
+2370 train 3.920271 (lr=1.8520e-03) (hash(x)=76636845)
+2380 train 3.990987 (lr=1.8406e-03) (hash(x)=79589860)
+2390 train 4.023909 (lr=1.8291e-03) (hash(x)=73694984)
+2400 val loss 4.1424
+2400 val perplexity 62.9564
+2400 train 4.074643 (lr=1.8176e-03) (hash(x)=76483417)
+2410 train 4.068033 (lr=1.8061e-03) (hash(x)=81534661)
+2420 train 4.163315 (lr=1.7946e-03) (hash(x)=90012063)
+2430 train 4.095062 (lr=1.7830e-03) (hash(x)=78359537)
+2440 train 4.190225 (lr=1.7715e-03) (hash(x)=79027074)
+2450 train 4.186569 (lr=1.7600e-03) (hash(x)=68888678)
+2460 train 4.059834 (lr=1.7484e-03) (hash(x)=78596234)
+2470 train 4.018798 (lr=1.7368e-03) (hash(x)=78240870)
+2480 train 4.095221 (lr=1.7253e-03) (hash(x)=78765106)
+2490 train 4.114528 (lr=1.7137e-03) (hash(x)=80888122)
+2500 val loss 4.1257
+2500 val perplexity 61.9136
+2500 train 3.859569 (lr=1.7021e-03) (hash(x)=77282980)
+2510 train 3.980441 (lr=1.6906e-03) (hash(x)=73932499)
+2520 train 3.885580 (lr=1.6790e-03) (hash(x)=78258721)
+2530 train 4.055018 (lr=1.6674e-03) (hash(x)=84237884)
+2540 train 3.966310 (lr=1.6558e-03) (hash(x)=82107056)
+2550 train 4.297820 (lr=1.6442e-03) (hash(x)=77739889)
+2560 train 4.292686 (lr=1.6326e-03) (hash(x)=74186552)
+2570 train 4.121394 (lr=1.6210e-03) (hash(x)=80473388)
+2580 train 4.042549 (lr=1.6094e-03) (hash(x)=82259419)
+2590 train 4.120201 (lr=1.5979e-03) (hash(x)=78413433)
+2600 val loss 4.1073
+2600 val perplexity 60.7802
+2600 train 4.028818 (lr=1.5863e-03) (hash(x)=74502607)
+2610 train 4.034249 (lr=1.5747e-03) (hash(x)=76291308)
+2620 train 3.995912 (lr=1.5632e-03) (hash(x)=89544859)
+2630 train 3.997247 (lr=1.5516e-03) (hash(x)=72230079)
+2640 train 4.018834 (lr=1.5400e-03) (hash(x)=80712391)
+2650 train 3.970821 (lr=1.5285e-03) (hash(x)=81110141)
+2660 train 4.048407 (lr=1.5170e-03) (hash(x)=73706547)
+2670 train 3.960949 (lr=1.5054e-03) (hash(x)=75978602)
+2680 train 4.038310 (lr=1.4939e-03) (hash(x)=77181602)
+2690 train 3.952512 (lr=1.4824e-03) (hash(x)=73503073)
+2700 val loss 4.0985
+2700 val perplexity 60.2506
+2700 train 4.002494 (lr=1.4709e-03) (hash(x)=76450620)
+2710 train 4.091777 (lr=1.4594e-03) (hash(x)=82384092)
+2720 train 4.085136 (lr=1.4480e-03) (hash(x)=78992460)
+2730 train 4.084784 (lr=1.4365e-03) (hash(x)=89640628)
+2740 train 4.055937 (lr=1.4251e-03) (hash(x)=78958333)
+2750 train 4.087621 (lr=1.4137e-03) (hash(x)=75231323)
+2760 train 4.041368 (lr=1.4023e-03) (hash(x)=80141789)
+2770 train 3.959982 (lr=1.3909e-03) (hash(x)=78041972)
+2780 train 4.080272 (lr=1.3795e-03) (hash(x)=78824636)
+2790 train 3.901150 (lr=1.3682e-03) (hash(x)=88495681)
+2800 val loss 4.0804
+2800 val perplexity 59.1716
+2800 train 3.956493 (lr=1.3569e-03) (hash(x)=70894085)
+2810 train 3.895991 (lr=1.3456e-03) (hash(x)=80942795)
+2820 train 3.906981 (lr=1.3343e-03) (hash(x)=80086512)
+2830 train 3.883872 (lr=1.3230e-03) (hash(x)=76162076)
+2840 train 4.031344 (lr=1.3118e-03) (hash(x)=92909437)
+2850 train 4.167970 (lr=1.3006e-03) (hash(x)=82192377)
+2860 train 3.991079 (lr=1.2894e-03) (hash(x)=79981204)
+2870 train 4.062534 (lr=1.2783e-03) (hash(x)=86642658)
+2880 train 4.005857 (lr=1.2671e-03) (hash(x)=73934349)
+2890 train 4.109758 (lr=1.2560e-03) (hash(x)=81104933)
+2900 val loss 4.0621
+2900 val perplexity 58.0985
+2900 train 3.988972 (lr=1.2450e-03) (hash(x)=83259335)
+2910 train 4.023648 (lr=1.2339e-03) (hash(x)=76528489)
+2920 train 4.017714 (lr=1.2229e-03) (hash(x)=82547590)
+2930 train 3.862637 (lr=1.2119e-03) (hash(x)=84692438)
+2940 train 3.886798 (lr=1.2010e-03) (hash(x)=76395062)
+2950 train 3.891234 (lr=1.1901e-03) (hash(x)=79351043)
+2960 train 3.963682 (lr=1.1792e-03) (hash(x)=75184745)
+2970 train 3.903659 (lr=1.1684e-03) (hash(x)=73888960)
+2980 train 4.102394 (lr=1.1576e-03) (hash(x)=80237171)
+2990 train 4.056189 (lr=1.1468e-03) (hash(x)=80090496)
+3000 val loss 4.0599
+3000 val perplexity 57.9686
+3000 train 4.100723 (lr=1.1361e-03) (hash(x)=99715255)
+3010 train 4.056059 (lr=1.1254e-03) (hash(x)=73302575)
+3020 train 3.956450 (lr=1.1147e-03) (hash(x)=81162327)
+3030 train 3.999872 (lr=1.1041e-03) (hash(x)=78686601)
+3040 train 4.017196 (lr=1.0935e-03) (hash(x)=76186508)
+3050 train 4.144871 (lr=1.0830e-03) (hash(x)=94420278)
+3060 train 4.029797 (lr=1.0725e-03) (hash(x)=73930563)
+3070 train 4.062143 (lr=1.0620e-03) (hash(x)=78074700)
+3080 train 3.915427 (lr=1.0516e-03) (hash(x)=85521020)
+3090 train 3.967668 (lr=1.0412e-03) (hash(x)=77429090)
+3100 val loss 4.0346
+3100 val perplexity 56.5220
+3100 train 3.946910 (lr=1.0309e-03) (hash(x)=74319016)
+3110 train 3.950850 (lr=1.0207e-03) (hash(x)=81856930)
+3120 train 3.966238 (lr=1.0104e-03) (hash(x)=78854668)
+3130 train 3.803520 (lr=1.0002e-03) (hash(x)=78558831)
+3140 train 3.757164 (lr=9.9011e-04) (hash(x)=75419854)
+3150 train 3.744627 (lr=9.8002e-04) (hash(x)=72645078)
+3160 train 3.924897 (lr=9.6999e-04) (hash(x)=71954229)
+3170 train 3.853053 (lr=9.6000e-04) (hash(x)=83944062)
+3180 train 4.139953 (lr=9.5007e-04) (hash(x)=81719676)
+3190 train 4.123998 (lr=9.4019e-04) (hash(x)=78117157)
+3200 val loss 4.0186
+3200 val perplexity 55.6221
+3200 train 4.099495 (lr=9.3036e-04) (hash(x)=95062223)
+3210 train 3.990359 (lr=9.2058e-04) (hash(x)=78243969)
+3220 train 3.990211 (lr=9.1085e-04) (hash(x)=80840117)
+3230 train 4.070368 (lr=9.0118e-04) (hash(x)=89040111)
+3240 train 3.931151 (lr=8.9157e-04) (hash(x)=78018689)
+3250 train 4.017251 (lr=8.8201e-04) (hash(x)=71514679)
+3260 train 3.950819 (lr=8.7251e-04) (hash(x)=72142220)
+3270 train 3.898019 (lr=8.6307e-04) (hash(x)=81981079)
+3280 train 4.039700 (lr=8.5368e-04) (hash(x)=81221688)
+3290 train 3.924311 (lr=8.4435e-04) (hash(x)=84425616)
+3300 val loss 4.0029
+3300 val perplexity 54.7549
+3300 train 3.938393 (lr=8.3508e-04) (hash(x)=85200306)
+3310 train 3.920418 (lr=8.2588e-04) (hash(x)=90538542)
+3320 train 3.787085 (lr=8.1673e-04) (hash(x)=75045669)
+3330 train 3.688650 (lr=8.0764e-04) (hash(x)=91874178)
+3340 train 3.712383 (lr=7.9862e-04) (hash(x)=93115709)
+3350 train 3.739361 (lr=7.8966e-04) (hash(x)=80614131)
+3360 train 3.770380 (lr=7.8076e-04) (hash(x)=75966518)
+3370 train 3.928471 (lr=7.7192e-04) (hash(x)=52504673)
+3380 train 3.976027 (lr=7.6315e-04) (hash(x)=89845158)
+3390 train 4.535682 (lr=7.5445e-04) (hash(x)=84328133)
+3400 val loss 3.9968
+3400 val perplexity 54.4249
+3400 train 4.045430 (lr=7.4581e-04) (hash(x)=84410966)
+3410 train 3.988138 (lr=7.3724e-04) (hash(x)=81040312)
+3420 train 4.111779 (lr=7.2874e-04) (hash(x)=80573120)
+3430 train 3.892544 (lr=7.2030e-04) (hash(x)=77676972)
+3440 train 3.957338 (lr=7.1193e-04) (hash(x)=86131899)
+3450 train 3.975358 (lr=7.0363e-04) (hash(x)=75051359)
+3460 train 3.909394 (lr=6.9541e-04) (hash(x)=78319212)
+3470 train 3.961527 (lr=6.8725e-04) (hash(x)=75514502)
+3480 train 3.827725 (lr=6.7916e-04) (hash(x)=84577433)
+3490 train 3.995015 (lr=6.7114e-04) (hash(x)=76740859)
+3500 val loss 3.9811
+3500 val perplexity 53.5775
+3500 train 3.955020 (lr=6.6320e-04) (hash(x)=85221122)
+3510 train 3.882984 (lr=6.5533e-04) (hash(x)=78373676)
+3520 train 3.773505 (lr=6.4753e-04) (hash(x)=76713204)
+3530 train 3.673000 (lr=6.3981e-04) (hash(x)=86885732)
+3540 train 3.804622 (lr=6.3216e-04) (hash(x)=80751876)
+3550 train 3.771646 (lr=6.2458e-04) (hash(x)=80092170)
+3560 train 3.949727 (lr=6.1708e-04) (hash(x)=85501243)
+3570 train 4.046741 (lr=6.0966e-04) (hash(x)=87853218)
+3580 train 3.991044 (lr=6.0231e-04) (hash(x)=88313614)
+3590 train 3.921559 (lr=5.9504e-04) (hash(x)=75521063)
+3600 val loss 3.9756
+3600 val perplexity 53.2838
+3600 train 3.989742 (lr=5.8785e-04) (hash(x)=83721651)
+3610 train 3.878727 (lr=5.8074e-04) (hash(x)=94293884)
+3620 train 3.934310 (lr=5.7370e-04) (hash(x)=77296763)
+3630 train 4.064809 (lr=5.6675e-04) (hash(x)=77338405)
+3640 train 3.911325 (lr=5.5987e-04) (hash(x)=81223547)
+3650 train 3.951725 (lr=5.5308e-04) (hash(x)=78952410)
+3660 train 3.796055 (lr=5.4636e-04) (hash(x)=79846386)
+3670 train 3.956671 (lr=5.3973e-04) (hash(x)=80481480)
+3680 train 3.855377 (lr=5.3318e-04) (hash(x)=83821130)
+3690 train 3.785290 (lr=5.2671e-04) (hash(x)=85303368)
+3700 val loss 3.9603
+3700 val perplexity 52.4743
+3700 train 3.828219 (lr=5.2033e-04) (hash(x)=70393870)
+3710 train 3.809762 (lr=5.1402e-04) (hash(x)=81014823)
+3720 train 3.822173 (lr=5.0780e-04) (hash(x)=79155367)
+3730 train 3.800327 (lr=5.0167e-04) (hash(x)=86979929)
+3740 train 3.756806 (lr=4.9562e-04) (hash(x)=88193263)
+3750 train 4.065956 (lr=4.8965e-04) (hash(x)=89853653)
+3760 train 3.974889 (lr=4.8377e-04) (hash(x)=77692484)
+3770 train 4.048394 (lr=4.7798e-04) (hash(x)=83300185)
+3780 train 3.964279 (lr=4.7227e-04) (hash(x)=82443218)
+3790 train 3.814682 (lr=4.6665e-04) (hash(x)=90032898)
+3800 val loss 3.9469
+3800 val perplexity 51.7726
+3800 train 3.927063 (lr=4.6112e-04) (hash(x)=77605593)
+3810 train 3.986592 (lr=4.5567e-04) (hash(x)=82532796)
+3820 train 3.939422 (lr=4.5031e-04) (hash(x)=89648204)
+3830 train 4.022681 (lr=4.4504e-04) (hash(x)=83708293)
+3840 train 3.964045 (lr=4.3986e-04) (hash(x)=84336512)
+3850 train 3.925911 (lr=4.3477e-04) (hash(x)=75025285)
+3860 train 3.806261 (lr=4.2977e-04) (hash(x)=79436536)
+3870 train 3.852533 (lr=4.2486e-04) (hash(x)=90467390)
+3880 train 3.932883 (lr=4.2004e-04) (hash(x)=77292020)
+3890 train 3.822489 (lr=4.1530e-04) (hash(x)=75568927)
+3900 val loss 3.9461
+3900 val perplexity 51.7347
+3900 train 3.871303 (lr=4.1066e-04) (hash(x)=79671781)
+3910 train 3.934132 (lr=4.0611e-04) (hash(x)=84280943)
+3920 train 3.957806 (lr=4.0166e-04) (hash(x)=80901294)
+3930 train 4.035690 (lr=3.9729e-04) (hash(x)=81437584)
+3940 train 3.934170 (lr=3.9302e-04) (hash(x)=73893778)
+3950 train 3.877768 (lr=3.8884e-04) (hash(x)=74987794)
+3960 train 3.925899 (lr=3.8475e-04) (hash(x)=93721374)
+3970 train 3.936910 (lr=3.8076e-04) (hash(x)=79149678)
+3980 train 3.890261 (lr=3.7685e-04) (hash(x)=83179387)
+3990 train 3.914925 (lr=3.7305e-04) (hash(x)=89009978)
+4000 val loss 3.9333
+4000 val perplexity 51.0731
+4000 train 3.929021 (lr=3.6933e-04) (hash(x)=76483735)
+4010 train 3.816128 (lr=3.6572e-04) (hash(x)=78638850)
+4020 train 3.886682 (lr=3.6219e-04) (hash(x)=90415206)
+4030 train 3.836416 (lr=3.5876e-04) (hash(x)=90819195)
+4040 train 3.955806 (lr=3.5543e-04) (hash(x)=85938852)
+4050 train 3.981931 (lr=3.5219e-04) (hash(x)=82436789)
+4060 train 4.127342 (lr=3.4905e-04) (hash(x)=63022149)
+4070 train 3.959313 (lr=3.4600e-04) (hash(x)=83501199)
+4080 train 3.955446 (lr=3.4305e-04) (hash(x)=77093326)
+4090 train 3.829535 (lr=3.4019e-04) (hash(x)=73437559)
+4100 val loss 3.9248
+4100 val perplexity 50.6411
+4100 train 3.932780 (lr=3.3744e-04) (hash(x)=84550388)
+4110 train 3.951888 (lr=3.3477e-04) (hash(x)=86184566)
+4120 train 3.944233 (lr=3.3221e-04) (hash(x)=85644922)
+4130 train 3.887218 (lr=3.2974e-04) (hash(x)=86179801)
+4140 train 3.856702 (lr=3.2737e-04) (hash(x)=82868303)
+4150 train 3.954932 (lr=3.2510e-04) (hash(x)=96780388)
+4160 train 3.923052 (lr=3.2292e-04) (hash(x)=87223122)
+4170 train 3.902454 (lr=3.2085e-04) (hash(x)=77292786)
+4180 train 3.907773 (lr=3.1887e-04) (hash(x)=88761375)
+4190 train 3.806052 (lr=3.1699e-04) (hash(x)=80956468)
+4200 val loss 3.9218
+4200 val perplexity 50.4931
+4200 train 3.973460 (lr=3.1520e-04) (hash(x)=84725462)
+4210 train 3.959135 (lr=3.1352e-04) (hash(x)=76098113)
+4220 train 3.961047 (lr=3.1193e-04) (hash(x)=84387685)
+4230 train 3.914633 (lr=3.1044e-04) (hash(x)=76120321)
+4240 train 3.887979 (lr=3.0905e-04) (hash(x)=85974065)
+4250 train 3.814911 (lr=3.0776e-04) (hash(x)=79340644)
+4260 train 3.915934 (lr=3.0657e-04) (hash(x)=88345025)
+4270 train 3.822927 (lr=3.0548e-04) (hash(x)=86406230)
+4280 train 3.817116 (lr=3.0449e-04) (hash(x)=80608975)
+4290 train 3.868625 (lr=3.0359e-04) (hash(x)=81635225)
+4300 val loss 3.9188
+4300 val perplexity 50.3397
+4300 train 3.730527 (lr=3.0280e-04) (hash(x)=82126376)
+4310 train 3.888378 (lr=3.0210e-04) (hash(x)=83737972)
+4320 train 3.812414 (lr=3.0150e-04) (hash(x)=81132345)
+4330 train 3.877918 (lr=3.0101e-04) (hash(x)=85850404)
+4340 train 3.877436 (lr=3.0061e-04) (hash(x)=83490640)
+4350 train 3.895013 (lr=3.0031e-04) (hash(x)=77545187)
+4360 train 3.924293 (lr=3.0011e-04) (hash(x)=86412685)
+4370 train 3.825723 (lr=3.0001e-04) (hash(x)=86429640)
+4374 val loss 3.9108
+4374 val perplexity 49.9407

12_mini_head_two_masks_4_heads/model_04374.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:94761c08bb4dcd883626c9797222adbbd6dfed097cc210715fe0b12c755aa293
+oid sha256:309e45440b003ceaef00048e164db99d73850a4b1ee1004b6cf3554a2b5615af
 size 98537090

12_mini_head_two_masks_4_heads/optimizer_04374.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab93b5f165b2fca6726314a6cff0e171ab5cc58709fbefabe78457b8f6cd16d0
+oid sha256:ed5891e1d1b65b2efcde8ead0bf06328e61142c6959a730b1c2198d70b90b66b
 size 190793606