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baseline/args.json

@@ -1 +1 @@
-{"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/baseline", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1337, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "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": null, "batch_size": 4, "total_batch_size": null, "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": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}
+{"hellaswag": true, "attention_kind": "selective", "log_dir": "allowing_more_selection_patterns/baseline", "resume_checkpoint": null, "resume_optimizer": false, "add_a_head": false, "add_head_to_start": true, "new_head_init": "normal", "n_heads": 12, "n_embd": 768, "head_dim": 64, "protect_bos_token": true, "prevent_from_masking_myself": true, "max_steps": null, "warmup_steps": null, "group": "allowing_more_selection_patterns", "use_wandb": true, "kill_self_after_run": false, "random_seed": 1339, "memory_penalty_epsilon": 0.1, "selection_head_linear_combo": "none", "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": null, "batch_size": 4, "total_batch_size": null, "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": false, "disable_selection": false, "mup_enable_coord_check_logging": false, "max_lr": null, "decay_lr": true, "readout_zero_init": false, "query_zero_init": false, "l1_loss": false, "debugpy": false, "key": null}

baseline/log2.txt

@@ -1,303 +1,303 @@
 max_steps: 2500
-0 val loss 10.9737
-0 val perplexity 58317.8945
-0 train 10.973824 (lr=8.3916e-07) (hash(x)=23347629)
-10 train 10.111941 (lr=9.2308e-06) (hash(x)=19636655)
-20 train 9.612789 (lr=1.7622e-05) (hash(x)=24490248)
-30 train 9.418690 (lr=2.6014e-05) (hash(x)=21733558)
-40 train 9.161636 (lr=3.4406e-05) (hash(x)=31750616)
-50 train 8.849428 (lr=4.2797e-05) (hash(x)=20041895)
-60 train 8.489235 (lr=5.1189e-05) (hash(x)=21416280)
-70 train 8.164173 (lr=5.9580e-05) (hash(x)=18066780)
-80 train 7.865506 (lr=6.7972e-05) (hash(x)=21809427)
-90 train 7.656304 (lr=7.6364e-05) (hash(x)=22061595)
-100 val loss 7.4483
-100 val perplexity 1716.9163
-100 train 7.400749 (lr=8.4755e-05) (hash(x)=17468914)
-110 train 7.208503 (lr=9.3147e-05) (hash(x)=20421520)
-120 train 7.228409 (lr=1.0154e-04) (hash(x)=23140133)
-130 train 7.090940 (lr=1.0993e-04) (hash(x)=20006835)
-140 train 6.848573 (lr=1.1832e-04) (hash(x)=18628134)
-150 train 6.815238 (lr=1.2671e-04) (hash(x)=21913447)
-160 train 6.760431 (lr=1.3510e-04) (hash(x)=22997297)
-170 train 6.547211 (lr=1.4350e-04) (hash(x)=17904821)
-180 train 6.407768 (lr=1.5189e-04) (hash(x)=18826982)
-190 train 6.488183 (lr=1.6028e-04) (hash(x)=21387716)
-200 val loss 6.3713
-200 val perplexity 584.8389
-200 train 6.291077 (lr=1.6867e-04) (hash(x)=16236395)
-210 train 6.170132 (lr=1.7706e-04) (hash(x)=21428681)
-220 train 6.310472 (lr=1.8545e-04) (hash(x)=20461738)
-230 train 6.141428 (lr=1.9385e-04) (hash(x)=20394865)
-240 train 6.032245 (lr=2.0224e-04) (hash(x)=18028671)
-250 train 5.879856 (lr=2.1063e-04) (hash(x)=18122073)
-260 train 5.798477 (lr=2.1902e-04) (hash(x)=22994143)
-270 train 6.009269 (lr=2.2741e-04) (hash(x)=20646260)
-280 train 5.863047 (lr=2.3580e-04) (hash(x)=23204708)
-290 train 5.759854 (lr=2.4420e-04) (hash(x)=17900252)
-300 val loss 5.7958
-300 val perplexity 328.9242
-300 train 5.641637 (lr=2.5259e-04) (hash(x)=19073819)
-310 train 5.807188 (lr=2.6098e-04) (hash(x)=22378232)
-320 train 5.714730 (lr=2.6937e-04) (hash(x)=19910430)
-330 train 5.637177 (lr=2.7776e-04) (hash(x)=25168753)
-340 train 5.525199 (lr=2.8615e-04) (hash(x)=20665256)
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-370 train 5.465904 (lr=3.1133e-04) (hash(x)=20435886)
-380 train 5.397383 (lr=3.1972e-04) (hash(x)=21255097)
-390 train 5.401009 (lr=3.2811e-04) (hash(x)=19596330)
-400 val loss 5.3366
-400 val perplexity 207.8033
-400 train 5.363309 (lr=3.3650e-04) (hash(x)=21789426)
-410 train 5.276180 (lr=3.4490e-04) (hash(x)=18366401)
-420 train 5.174843 (lr=3.5329e-04) (hash(x)=18614660)
-430 train 5.310909 (lr=3.6168e-04) (hash(x)=21649063)
-440 train 5.177170 (lr=3.7007e-04) (hash(x)=18505097)
-450 train 5.178087 (lr=3.7846e-04) (hash(x)=23434312)
-460 train 5.063648 (lr=3.8685e-04) (hash(x)=16584569)
-470 train 4.936549 (lr=3.9524e-04) (hash(x)=13447111)
-480 train 5.159476 (lr=4.0364e-04) (hash(x)=22645130)
-490 train 5.006290 (lr=4.1203e-04) (hash(x)=19362777)
-500 val loss 4.9944
-500 val perplexity 147.5845
-500 train 4.929747 (lr=4.2042e-04) (hash(x)=20921874)
-510 train 4.791442 (lr=4.2881e-04) (hash(x)=22123048)
-520 train 4.830326 (lr=4.3720e-04) (hash(x)=21215368)
-530 train 4.969443 (lr=4.4559e-04) (hash(x)=20717936)
-540 train 4.864767 (lr=4.5399e-04) (hash(x)=20118007)
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-560 train 4.649039 (lr=4.7077e-04) (hash(x)=19057180)
-570 train 4.831183 (lr=4.7916e-04) (hash(x)=19360553)
-580 train 4.737230 (lr=4.8755e-04) (hash(x)=18194693)
-590 train 4.624774 (lr=4.9594e-04) (hash(x)=19863826)
-600 val loss 4.5948
-600 val perplexity 98.9706
-600 train 4.550488 (lr=5.0434e-04) (hash(x)=21794551)
-610 train 4.509958 (lr=5.1273e-04) (hash(x)=18685622)
-620 train 4.404768 (lr=5.2112e-04) (hash(x)=23473104)
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-640 train 4.535685 (lr=5.3790e-04) (hash(x)=19234240)
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-660 train 4.272037 (lr=5.5469e-04) (hash(x)=23665543)
-670 train 4.429008 (lr=5.6308e-04) (hash(x)=22055313)
-680 train 4.391896 (lr=5.7147e-04) (hash(x)=22321668)
-690 train 4.508237 (lr=5.7986e-04) (hash(x)=21568926)
-700 val loss 4.3439
-700 val perplexity 77.0095
-700 train 4.349285 (lr=5.8825e-04) (hash(x)=19783143)
-710 train 4.275688 (lr=5.9664e-04) (hash(x)=21565258)
-720 train 4.361594 (lr=5.9999e-04) (hash(x)=16127212)
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-740 train 4.256943 (lr=5.9974e-04) (hash(x)=16454319)
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-770 train 4.085679 (lr=5.9874e-04) (hash(x)=17351653)
-780 train 4.108175 (lr=5.9824e-04) (hash(x)=21626120)
-790 train 4.263186 (lr=5.9765e-04) (hash(x)=16367412)
-800 val loss 4.1683
-800 val perplexity 64.6086
-800 train 4.119504 (lr=5.9698e-04) (hash(x)=22321504)
-810 train 4.002688 (lr=5.9623e-04) (hash(x)=19869755)
-820 train 4.173855 (lr=5.9540e-04) (hash(x)=24183665)
-830 train 4.149780 (lr=5.9449e-04) (hash(x)=19194113)
-840 train 3.995206 (lr=5.9349e-04) (hash(x)=17710503)
-850 train 4.026993 (lr=5.9241e-04) (hash(x)=17231851)
-860 train 4.149008 (lr=5.9126e-04) (hash(x)=20584272)
-870 train 4.048472 (lr=5.9002e-04) (hash(x)=17468790)
-880 train 3.973584 (lr=5.8869e-04) (hash(x)=22304409)
-890 train 4.070874 (lr=5.8729e-04) (hash(x)=18871567)
-900 val loss 4.0364
-900 val perplexity 56.6249
-900 train 4.014625 (lr=5.8581e-04) (hash(x)=20924720)
-910 train 3.928895 (lr=5.8425e-04) (hash(x)=21163464)
-920 train 3.866852 (lr=5.8262e-04) (hash(x)=20120862)
-930 train 4.041391 (lr=5.8090e-04) (hash(x)=19565198)
-940 train 3.958992 (lr=5.7911e-04) (hash(x)=18517540)
-950 train 3.931305 (lr=5.7723e-04) (hash(x)=18300759)
-960 train 3.965863 (lr=5.7529e-04) (hash(x)=21443001)
-970 train 3.911733 (lr=5.7326e-04) (hash(x)=15210971)
-980 train 4.072883 (lr=5.7116e-04) (hash(x)=20874579)
-990 train 3.992456 (lr=5.6899e-04) (hash(x)=20690802)
-1000 val loss 3.9428
-1000 val perplexity 51.5621
-1000 train 3.864140 (lr=5.6674e-04) (hash(x)=18635877)
-1010 train 3.980101 (lr=5.6442e-04) (hash(x)=21141462)
-1020 train 3.996318 (lr=5.6202e-04) (hash(x)=19483400)
-1030 train 3.901821 (lr=5.5956e-04) (hash(x)=24792825)
-1040 train 3.879690 (lr=5.5702e-04) (hash(x)=16743928)
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-1060 train 3.943355 (lr=5.5174e-04) (hash(x)=20546637)
-1070 train 3.842065 (lr=5.4899e-04) (hash(x)=13739753)
-1080 train 3.921352 (lr=5.4618e-04) (hash(x)=20071304)
-1090 train 3.852434 (lr=5.4330e-04) (hash(x)=19339656)
-1100 val loss 3.8737
-1100 val perplexity 48.1209
-1100 train 3.840385 (lr=5.4035e-04) (hash(x)=20039628)
-1110 train 3.898952 (lr=5.3734e-04) (hash(x)=19249691)
-1120 train 3.916404 (lr=5.3426e-04) (hash(x)=19048809)
-1130 train 3.843654 (lr=5.3113e-04) (hash(x)=19309000)
-1140 train 3.801544 (lr=5.2792e-04) (hash(x)=21787927)
-1150 train 3.715839 (lr=5.2466e-04) (hash(x)=19998536)
-1160 train 3.865678 (lr=5.2134e-04) (hash(x)=23724694)
-1170 train 3.885109 (lr=5.1796e-04) (hash(x)=17148204)
-1180 train 3.797027 (lr=5.1452e-04) (hash(x)=19511852)
-1190 train 3.773531 (lr=5.1102e-04) (hash(x)=19352862)
-1200 val loss 3.8026
-1200 val perplexity 44.8180
-1200 train 3.714751 (lr=5.0746e-04) (hash(x)=19530144)
-1210 train 3.901145 (lr=5.0386e-04) (hash(x)=19897392)
-1220 train 3.802177 (lr=5.0019e-04) (hash(x)=24402963)
-1230 train 3.720290 (lr=4.9648e-04) (hash(x)=18589754)
-1240 train 3.728300 (lr=4.9271e-04) (hash(x)=21951750)
-1250 train 3.802309 (lr=4.8889e-04) (hash(x)=18611379)
-1260 train 3.824818 (lr=4.8503e-04) (hash(x)=20338521)
-1270 train 3.739093 (lr=4.8111e-04) (hash(x)=18308405)
-1280 train 3.740676 (lr=4.7715e-04) (hash(x)=20920945)
-1290 train 3.705351 (lr=4.7315e-04) (hash(x)=20094152)
-1300 val loss 3.7477
-1300 val perplexity 42.4247
-1300 train 3.821512 (lr=4.6909e-04) (hash(x)=19003947)
-1310 train 3.780432 (lr=4.6500e-04) (hash(x)=19356356)
-1320 train 3.734794 (lr=4.6086e-04) (hash(x)=19390343)
-1330 train 3.672205 (lr=4.5669e-04) (hash(x)=17535982)
-1340 train 3.695519 (lr=4.5247e-04) (hash(x)=21959104)
-1350 train 3.795491 (lr=4.4822e-04) (hash(x)=21982099)
-1360 train 3.755167 (lr=4.4393e-04) (hash(x)=17176243)
-1370 train 3.698761 (lr=4.3960e-04) (hash(x)=21223627)
-1380 train 3.716665 (lr=4.3524e-04) (hash(x)=22462931)
-1390 train 3.738315 (lr=4.3085e-04) (hash(x)=19153464)
-1400 val loss 3.6977
-1400 val perplexity 40.3550
-1400 train 3.629280 (lr=4.2643e-04) (hash(x)=20146496)
-1410 train 3.688986 (lr=4.2197e-04) (hash(x)=21781327)
-1420 train 3.761765 (lr=4.1749e-04) (hash(x)=19234051)
-1430 train 3.809854 (lr=4.1298e-04) (hash(x)=20769898)
-1440 train 3.657742 (lr=4.0845e-04) (hash(x)=22042430)
-1450 train 3.680538 (lr=4.0389e-04) (hash(x)=20527387)
-1460 train 3.667914 (lr=3.9931e-04) (hash(x)=18925766)
-1470 train 3.664164 (lr=3.9470e-04) (hash(x)=18198851)
-1480 train 3.738787 (lr=3.9008e-04) (hash(x)=21847281)
-1490 train 3.710153 (lr=3.8544e-04) (hash(x)=15645274)
-1500 val loss 3.6543
-1500 val perplexity 38.6424
-1500 train 3.578695 (lr=3.8078e-04) (hash(x)=14693370)
-1510 train 3.588135 (lr=3.7610e-04) (hash(x)=21810857)
-1520 train 3.684349 (lr=3.7142e-04) (hash(x)=18980052)
-1530 train 3.709998 (lr=3.6671e-04) (hash(x)=22868842)
-1540 train 3.621936 (lr=3.6200e-04) (hash(x)=17289166)
-1550 train 3.707079 (lr=3.5728e-04) (hash(x)=18109373)
-1560 train 3.740611 (lr=3.5255e-04) (hash(x)=22377619)
-1570 train 3.568432 (lr=3.4781e-04) (hash(x)=20307182)
-1580 train 3.715766 (lr=3.4306e-04) (hash(x)=20391291)
-1590 train 3.584409 (lr=3.3831e-04) (hash(x)=18690939)
-1600 val loss 3.6192
-1600 val perplexity 37.3083
-1600 train 3.597387 (lr=3.3356e-04) (hash(x)=16719886)
-1610 train 3.589051 (lr=3.2881e-04) (hash(x)=16040840)
-1620 train 3.664560 (lr=3.2406e-04) (hash(x)=25795140)
-1630 train 3.667998 (lr=3.1931e-04) (hash(x)=21936964)
-1640 train 3.566886 (lr=3.1456e-04) (hash(x)=11593027)
-1650 train 3.623425 (lr=3.0982e-04) (hash(x)=23256718)
-1660 train 3.584052 (lr=3.0509e-04) (hash(x)=20289140)
-1670 train 3.588777 (lr=3.0036e-04) (hash(x)=18382509)
-1680 train 3.655182 (lr=2.9564e-04) (hash(x)=26604329)
-1690 train 3.622003 (lr=2.9093e-04) (hash(x)=22122534)
-1700 val loss 3.5880
-1700 val perplexity 36.1632
-1700 train 3.638704 (lr=2.8624e-04) (hash(x)=22884812)
-1710 train 3.583168 (lr=2.8156e-04) (hash(x)=18598496)
-1720 train 3.603663 (lr=2.7689e-04) (hash(x)=22147447)
-1730 train 3.608187 (lr=2.7224e-04) (hash(x)=18912135)
-1740 train 3.445968 (lr=2.6761e-04) (hash(x)=21952974)
-1750 train 3.559899 (lr=2.6299e-04) (hash(x)=18390978)
-1760 train 3.568171 (lr=2.5840e-04) (hash(x)=17979288)
-1770 train 3.575947 (lr=2.5383e-04) (hash(x)=18979099)
-1780 train 3.541605 (lr=2.4928e-04) (hash(x)=20511922)
-1790 train 3.595030 (lr=2.4476e-04) (hash(x)=21814060)
-1800 val loss 3.5618
-1800 val perplexity 35.2250
-1800 train 3.578795 (lr=2.4026e-04) (hash(x)=18076243)
-1810 train 3.571294 (lr=2.3580e-04) (hash(x)=19721209)
-1820 train 3.516656 (lr=2.3136e-04) (hash(x)=18140847)
-1830 train 3.581553 (lr=2.2695e-04) (hash(x)=22065413)
-1840 train 3.479596 (lr=2.2257e-04) (hash(x)=21166111)
-1850 train 3.481246 (lr=2.1823e-04) (hash(x)=21904302)
-1860 train 3.546546 (lr=2.1392e-04) (hash(x)=18283828)
-1870 train 3.504316 (lr=2.0965e-04) (hash(x)=20892773)
-1880 train 3.533027 (lr=2.0542e-04) (hash(x)=17781264)
-1890 train 3.503898 (lr=2.0122e-04) (hash(x)=20612962)
-1900 val loss 3.5391
-1900 val perplexity 34.4369
-1900 train 3.594285 (lr=1.9706e-04) (hash(x)=20421058)
-1910 train 3.567181 (lr=1.9295e-04) (hash(x)=18554808)
-1920 train 3.524355 (lr=1.8887e-04) (hash(x)=18189279)
-1930 train 3.539775 (lr=1.8485e-04) (hash(x)=19923279)
-1940 train 3.506746 (lr=1.8086e-04) (hash(x)=21665511)
-1950 train 3.526539 (lr=1.7692e-04) (hash(x)=22038489)
-1960 train 3.499939 (lr=1.7303e-04) (hash(x)=18896956)
-1970 train 3.528859 (lr=1.6919e-04) (hash(x)=20408383)
-1980 train 3.510734 (lr=1.6540e-04) (hash(x)=23039940)
-1990 train 3.643764 (lr=1.6166e-04) (hash(x)=20631172)
-2000 val loss 3.5196
-2000 val perplexity 33.7720
-2000 train 3.457407 (lr=1.5797e-04) (hash(x)=20206106)
-2010 train 3.553501 (lr=1.5433e-04) (hash(x)=21864020)
-2020 train 3.537772 (lr=1.5075e-04) (hash(x)=21391128)
-2030 train 3.500875 (lr=1.4723e-04) (hash(x)=18676636)
-2040 train 3.548269 (lr=1.4376e-04) (hash(x)=15987134)
-2050 train 3.543647 (lr=1.4035e-04) (hash(x)=23940769)
-2060 train 3.518487 (lr=1.3699e-04) (hash(x)=17152840)
-2070 train 3.488767 (lr=1.3370e-04) (hash(x)=22958445)
-2080 train 3.541727 (lr=1.3047e-04) (hash(x)=23616724)
-2090 train 3.511062 (lr=1.2730e-04) (hash(x)=16571283)
-2100 val loss 3.4991
-2100 val perplexity 33.0870
-2100 train 3.507874 (lr=1.2419e-04) (hash(x)=19070327)
-2110 train 3.553292 (lr=1.2115e-04) (hash(x)=20758626)
-2120 train 3.497998 (lr=1.1817e-04) (hash(x)=18397810)
-2130 train 3.485493 (lr=1.1525e-04) (hash(x)=18045234)
-2140 train 3.590516 (lr=1.1241e-04) (hash(x)=18969565)
-2150 train 3.527048 (lr=1.0963e-04) (hash(x)=17149701)
-2160 train 3.446316 (lr=1.0692e-04) (hash(x)=23075443)
-2170 train 3.479116 (lr=1.0427e-04) (hash(x)=17977337)
-2180 train 3.541360 (lr=1.0170e-04) (hash(x)=20657407)
-2190 train 3.528511 (lr=9.9199e-05) (hash(x)=19985933)
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