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"status": "ok", + "system": { + "controller_process_index": 1, + "device_count": 16, + "device_ids": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stderr.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..f02361ff12765a85558b19f10e3e8284d0800c14 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stderr.log @@ -0,0 +1,291 @@ +E0819 12:58:41.690545 3586505 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:58:41.690521 342854 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:58:41.690746 3487085 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:58:41.693099 3539938 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 2dacd79ce81a │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 2,355 steps │ + │ train tokens 617.35M │ + │ traced FLOPs 846622.11T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 55.07s, eval in 19.72s; periodic validation disabled + 1/2355 ────────────────── loss 10.8898 lr 3.26e-05 |g| 2.553 352.84K tok/s + 10/2355 ────────────────── loss 9.8014 lr 3.26e-04 |g| 2.068 367.65K tok/s + 20/2355 ────────────────── loss 8.3564 lr 6.52e-04 |g| 1.822 388.43K tok/s + 30/2355 ────────────────── loss 7.6603 lr 9.78e-04 |g| 0.638 395.85K tok/s + 40/2355 ────────────────── loss 7.5670 lr 1.30e-03 |g| 0.808 399.69K tok/s + 50/2355 ────────────────── loss 7.3878 lr 1.63e-03 |g| 0.528 402.07K tok/s + 60/2355 ────────────────── loss 7.2726 lr 1.96e-03 |g| 0.923 403.61K tok/s + 70/2355 ━───────────────── loss 7.0976 lr 2.28e-03 |g| 0.381 404.69K tok/s + 80/2355 ━───────────────── loss 6.9464 lr 2.61e-03 |g| 0.466 405.50K tok/s + 90/2355 ━───────────────── loss 6.8775 lr 2.94e-03 |g| 0.602 406.12K tok/s + 100/2355 ━───────────────── loss 6.6708 lr 3.26e-03 |g| 0.263 406.60K tok/s + 110/2355 ━───────────────── loss 6.6144 lr 3.59e-03 |g| 0.290 407.00K tok/s + 120/2355 ━───────────────── loss 6.5534 lr 3.91e-03 |g| 0.316 407.33K tok/s + 130/2355 ━───────────────── loss 6.5056 lr 4.24e-03 |g| 0.283 407.61K tok/s + 140/2355 ━───────────────── loss 6.4218 lr 4.57e-03 |g| 0.611 407.85K tok/s + 150/2355 ━───────────────── loss 6.2713 lr 4.89e-03 |g| 0.342 408.06K tok/s + 160/2355 ━───────────────── loss 6.2490 lr 5.22e-03 |g| 0.301 408.25K tok/s + 170/2355 ━───────────────── loss 6.1671 lr 5.54e-03 |g| 0.297 408.41K tok/s + 180/2355 ━───────────────── loss 6.1641 lr 5.87e-03 |g| 0.479 408.55K tok/s + 190/2355 ━───────────────── loss 6.0314 lr 6.20e-03 |g| 0.300 408.68K tok/s + 200/2355 ━━──────────────── loss 6.0790 lr 6.52e-03 |g| 0.390 408.80K tok/s + 210/2355 ━━──────────────── loss 5.9231 lr 6.85e-03 |g| 0.293 408.90K tok/s + 220/2355 ━━──────────────── loss 5.9398 lr 7.18e-03 |g| 0.294 409.00K tok/s + 230/2355 ━━──────────────── loss 5.8579 lr 7.50e-03 |g| 0.327 409.09K tok/s + 240/2355 ━━──────────────── loss 5.9066 lr 7.70e-03 |g| 0.334 409.17K tok/s + 250/2355 ━━──────────────── loss 5.6527 lr 7.70e-03 |g| 0.180 409.24K tok/s + 260/2355 ━━──────────────── loss 5.7118 lr 7.69e-03 |g| 0.229 409.31K tok/s + 270/2355 ━━──────────────── loss 5.6235 lr 7.69e-03 |g| 0.226 409.37K tok/s + 280/2355 ━━──────────────── loss 5.5548 lr 7.69e-03 |g| 0.215 409.43K tok/s + 290/2355 ━━──────────────── loss 5.5234 lr 7.69e-03 |g| 0.311 409.48K tok/s + 300/2355 ━━──────────────── loss 5.4287 lr 7.68e-03 |g| 0.162 409.53K tok/s + 310/2355 ━━──────────────── loss 5.4334 lr 7.68e-03 |g| 0.204 409.58K tok/s + 320/2355 ━━──────────────── loss 5.3460 lr 7.67e-03 |g| 0.142 409.63K tok/s + 330/2355 ━━━─────────────── loss 5.2926 lr 7.66e-03 |g| 0.235 409.67K tok/s + 340/2355 ━━━─────────────── loss 5.3027 lr 7.66e-03 |g| 0.174 409.71K tok/s + 350/2355 ━━━─────────────── loss 5.2416 lr 7.65e-03 |g| 0.141 409.74K tok/s + 360/2355 ━━━─────────────── loss 5.2808 lr 7.64e-03 |g| 0.160 409.78K tok/s + 370/2355 ━━━─────────────── loss 5.2425 lr 7.63e-03 |g| 0.172 409.81K tok/s + 380/2355 ━━━─────────────── loss 5.1991 lr 7.62e-03 |g| 0.146 409.84K tok/s + 390/2355 ━━━─────────────── loss 5.1235 lr 7.61e-03 |g| 0.132 409.87K tok/s + 400/2355 ━━━─────────────── loss 5.1954 lr 7.60e-03 |g| 0.168 409.90K tok/s + 410/2355 ━━━─────────────── loss 5.0411 lr 7.58e-03 |g| 0.124 409.92K tok/s + 420/2355 ━━━─────────────── loss 5.0584 lr 7.57e-03 |g| 0.121 409.95K tok/s + 430/2355 ━━━─────────────── loss 5.0380 lr 7.55e-03 |g| 0.129 409.97K tok/s + 440/2355 ━━━─────────────── loss 5.0272 lr 7.54e-03 |g| 0.133 410.00K tok/s + 450/2355 ━━━─────────────── loss 4.8721 lr 7.52e-03 |g| 0.134 410.02K tok/s + 460/2355 ━━━━────────────── loss 4.9264 lr 7.51e-03 |g| 0.142 410.04K tok/s + 470/2355 ━━━━────────────── loss 4.8835 lr 7.49e-03 |g| 0.171 410.06K tok/s + 480/2355 ━━━━────────────── loss 4.8356 lr 7.47e-03 |g| 0.126 410.08K tok/s + 490/2355 ━━━━────────────── loss 4.8203 lr 7.45e-03 |g| 0.110 410.10K tok/s + 500/2355 ━━━━────────────── loss 4.8148 lr 7.44e-03 |g| 0.111 410.12K tok/s + 510/2355 ━━━━────────────── loss 4.6826 lr 7.42e-03 |g| 0.160 410.14K tok/s + 520/2355 ━━━━────────────── loss 4.6472 lr 7.39e-03 |g| 0.131 410.16K tok/s + 530/2355 ━━━━────────────── loss 4.7656 lr 7.37e-03 |g| 0.119 410.17K tok/s + 540/2355 ━━━━────────────── loss 4.6647 lr 7.35e-03 |g| 0.137 410.19K tok/s + 550/2355 ━━━━────────────── loss 4.6964 lr 7.33e-03 |g| 0.130 410.20K tok/s + 560/2355 ━━━━────────────── loss 4.6136 lr 7.31e-03 |g| 0.171 410.22K tok/s + 570/2355 ━━━━────────────── loss 4.6965 lr 7.28e-03 |g| 0.134 410.23K tok/s + 580/2355 ━━━━────────────── loss 4.6808 lr 7.26e-03 |g| 0.115 410.25K tok/s + 590/2355 ━━━━━───────────── loss 4.6034 lr 7.23e-03 |g| 0.122 410.26K tok/s + 600/2355 ━━━━━───────────── loss 4.5040 lr 7.20e-03 |g| 0.132 410.27K tok/s + 610/2355 ━━━━━───────────── loss 4.5895 lr 7.18e-03 |g| 0.138 410.28K tok/s + 620/2355 ━━━━━───────────── loss 4.4768 lr 7.15e-03 |g| 0.119 410.29K tok/s + 630/2355 ━━━━━───────────── loss 4.4559 lr 7.12e-03 |g| 0.125 410.30K tok/s + 640/2355 ━━━━━───────────── loss 4.4822 lr 7.09e-03 |g| 0.118 410.31K tok/s + 650/2355 ━━━━━───────────── loss 4.4774 lr 7.06e-03 |g| 0.119 410.32K tok/s + 660/2355 ━━━━━───────────── loss 4.5281 lr 7.03e-03 |g| 0.116 410.33K tok/s + 670/2355 ━━━━━───────────── loss 4.4420 lr 7.00e-03 |g| 0.130 410.34K tok/s + 680/2355 ━━━━━───────────── loss 4.4904 lr 6.97e-03 |g| 0.109 410.35K tok/s + 690/2355 ━━━━━───────────── loss 4.4079 lr 6.94e-03 |g| 0.104 410.36K tok/s + 700/2355 ━━━━━───────────── loss 4.3737 lr 6.91e-03 |g| 0.121 410.37K tok/s + 710/2355 ━━━━━───────────── loss 4.3620 lr 6.88e-03 |g| 0.094 410.38K tok/s + 720/2355 ━━━━━━──────────── loss 4.3845 lr 6.84e-03 |g| 0.138 410.39K tok/s + 730/2355 ━━━━━━──────────── loss 4.4242 lr 6.81e-03 |g| 0.117 410.39K tok/s + 740/2355 ━━━━━━──────────── loss 4.2984 lr 6.77e-03 |g| 0.136 410.40K tok/s + 750/2355 ━━━━━━──────────── loss 4.3600 lr 6.74e-03 |g| 0.102 410.41K tok/s + 760/2355 ━━━━━━──────────── loss 4.2854 lr 6.70e-03 |g| 0.107 410.42K tok/s + 770/2355 ━━━━━━──────────── loss 4.3112 lr 6.67e-03 |g| 0.115 410.43K tok/s + 780/2355 ━━━━━━──────────── loss 4.3391 lr 6.63e-03 |g| 0.150 410.43K tok/s + 790/2355 ━━━━━━──────────── loss 4.3212 lr 6.59e-03 |g| 0.106 410.44K tok/s + 800/2355 ━━━━━━──────────── loss 4.2851 lr 6.56e-03 |g| 0.120 410.45K tok/s + 810/2355 ━━━━━━──────────── loss 4.2403 lr 6.52e-03 |g| 0.114 410.46K tok/s + 820/2355 ━━━━━━──────────── loss 4.3159 lr 6.48e-03 |g| 0.121 410.46K tok/s + 830/2355 ━━━━━━──────────── loss 4.3302 lr 6.44e-03 |g| 0.114 410.47K tok/s + 840/2355 ━━━━━━──────────── loss 4.2080 lr 6.40e-03 |g| 0.099 410.47K tok/s + 850/2355 ━━━━━━──────────── loss 4.2341 lr 6.36e-03 |g| 0.112 410.48K tok/s + 860/2355 ━━━━━━━─────────── loss 4.1769 lr 6.32e-03 |g| 0.138 410.49K tok/s + 870/2355 ━━━━━━━─────────── loss 4.2554 lr 6.28e-03 |g| 0.091 410.49K tok/s + 880/2355 ━━━━━━━─────────── loss 4.2170 lr 6.23e-03 |g| 0.120 410.50K tok/s + 890/2355 ━━━━━━━─────────── loss 4.3645 lr 6.19e-03 |g| 0.105 410.50K tok/s + 900/2355 ━━━━━━━─────────── loss 4.2298 lr 6.15e-03 |g| 0.101 410.51K tok/s + 910/2355 ━━━━━━━─────────── loss 4.2744 lr 6.11e-03 |g| 0.106 410.51K tok/s + 920/2355 ━━━━━━━─────────── loss 4.2202 lr 6.06e-03 |g| 0.135 410.52K tok/s + 930/2355 ━━━━━━━─────────── loss 4.2451 lr 6.02e-03 |g| 0.098 410.53K tok/s + 940/2355 ━━━━━━━─────────── loss 4.2019 lr 5.98e-03 |g| 0.132 410.53K tok/s + 950/2355 ━━━━━━━─────────── loss 4.1271 lr 5.93e-03 |g| 0.100 410.54K tok/s + 960/2355 ━━━━━━━─────────── loss 4.2457 lr 5.89e-03 |g| 0.094 410.54K tok/s + 970/2355 ━━━━━━━─────────── loss 4.1442 lr 5.84e-03 |g| 0.108 410.55K tok/s + 980/2355 ━━━━━━━─────────── loss 4.1980 lr 5.80e-03 |g| 0.102 410.55K tok/s + 990/2355 ━━━━━━━━────────── loss 4.2023 lr 5.75e-03 |g| 0.102 410.56K tok/s + 1000/2355 ━━━━━━━━────────── loss 4.0905 lr 5.70e-03 |g| 0.105 410.56K tok/s + 1010/2355 ━━━━━━━━────────── loss 4.2069 lr 5.66e-03 |g| 0.107 410.56K tok/s + 1020/2355 ━━━━━━━━────────── loss 4.1086 lr 5.61e-03 |g| 0.101 410.57K tok/s + 1030/2355 ━━━━━━━━────────── loss 4.1406 lr 5.56e-03 |g| 0.110 410.57K tok/s + 1040/2355 ━━━━━━━━────────── loss 4.1600 lr 5.51e-03 |g| 0.108 410.58K tok/s + 1050/2355 ━━━━━━━━────────── loss 4.1071 lr 5.47e-03 |g| 0.097 410.58K tok/s + 1060/2355 ━━━━━━━━────────── loss 4.0902 lr 5.42e-03 |g| 0.114 410.59K tok/s + 1070/2355 ━━━━━━━━────────── loss 4.1033 lr 5.37e-03 |g| 0.111 410.59K tok/s + 1080/2355 ━━━━━━━━────────── loss 4.0681 lr 5.32e-03 |g| 0.097 410.60K tok/s + 1090/2355 ━━━━━━━━────────── loss 4.1190 lr 5.27e-03 |g| 0.121 410.60K tok/s + 1100/2355 ━━━━━━━━────────── loss 4.1543 lr 5.22e-03 |g| 0.117 410.60K tok/s + 1110/2355 ━━━━━━━━────────── loss 4.0542 lr 5.17e-03 |g| 0.093 410.61K tok/s + 1120/2355 ━━━━━━━━━───────── loss 4.0902 lr 5.12e-03 |g| 0.098 410.61K tok/s + 1130/2355 ━━━━━━━━━───────── loss 3.9924 lr 5.07e-03 |g| 0.100 410.61K tok/s + 1140/2355 ━━━━━━━━━───────── loss 4.0638 lr 5.02e-03 |g| 0.103 410.62K tok/s + 1150/2355 ━━━━━━━━━───────── loss 4.0604 lr 4.97e-03 |g| 0.097 410.62K tok/s + 1160/2355 ━━━━━━━━━───────── loss 4.0704 lr 4.92e-03 |g| 0.104 410.62K tok/s + 1170/2355 ━━━━━━━━━───────── loss 3.9738 lr 4.87e-03 |g| 0.112 410.63K tok/s + 1180/2355 ━━━━━━━━━───────── loss 4.0464 lr 4.82e-03 |g| 0.099 410.63K tok/s + 1190/2355 ━━━━━━━━━───────── loss 4.0646 lr 4.77e-03 |g| 0.106 410.63K tok/s + 1200/2355 ━━━━━━━━━───────── loss 4.0370 lr 4.72e-03 |g| 0.098 410.64K tok/s + 1210/2355 ━━━━━━━━━───────── loss 4.0142 lr 4.67e-03 |g| 0.098 410.64K tok/s + 1220/2355 ━━━━━━━━━───────── loss 4.0257 lr 4.62e-03 |g| 0.097 410.64K tok/s + 1230/2355 ━━━━━━━━━───────── loss 3.9544 lr 4.57e-03 |g| 0.115 410.65K tok/s + 1240/2355 ━━━━━━━━━───────── loss 4.0244 lr 4.52e-03 |g| 0.092 410.65K tok/s + 1250/2355 ━━━━━━━━━━──────── loss 4.0119 lr 4.47e-03 |g| 0.109 410.65K tok/s + 1260/2355 ━━━━━━━━━━──────── loss 3.9899 lr 4.42e-03 |g| 0.106 410.66K tok/s + 1270/2355 ━━━━━━━━━━──────── loss 3.9479 lr 4.36e-03 |g| 0.100 410.66K tok/s + 1280/2355 ━━━━━━━━━━──────── loss 4.0359 lr 4.31e-03 |g| 0.091 410.66K tok/s + 1290/2355 ━━━━━━━━━━──────── loss 3.9621 lr 4.26e-03 |g| 0.116 410.66K tok/s + 1300/2355 ━━━━━━━━━━──────── loss 3.9959 lr 4.21e-03 |g| 0.101 410.67K tok/s + 1310/2355 ━━━━━━━━━━──────── loss 3.9904 lr 4.16e-03 |g| 0.112 410.67K tok/s + 1320/2355 ━━━━━━━━━━──────── loss 3.9754 lr 4.11e-03 |g| 0.099 410.67K tok/s + 1330/2355 ━━━━━━━━━━──────── loss 3.9091 lr 4.06e-03 |g| 0.098 410.67K tok/s + 1340/2355 ━━━━━━━━━━──────── loss 3.9192 lr 4.01e-03 |g| 0.097 410.68K tok/s + 1350/2355 ━━━━━━━━━━──────── loss 3.8845 lr 3.95e-03 |g| 0.110 410.68K tok/s + 1360/2355 ━━━━━━━━━━──────── loss 4.0713 lr 3.90e-03 |g| 0.098 410.68K tok/s + 1370/2355 ━━━━━━━━━━──────── loss 3.8968 lr 3.85e-03 |g| 0.113 410.68K tok/s + 1380/2355 ━━━━━━━━━━━─────── loss 4.0016 lr 3.80e-03 |g| 0.087 410.69K tok/s + 1390/2355 ━━━━━━━━━━━─────── loss 3.9081 lr 3.75e-03 |g| 0.126 410.69K tok/s + 1400/2355 ━━━━━━━━━━━─────── loss 3.9944 lr 3.70e-03 |g| 0.099 410.69K tok/s + 1410/2355 ━━━━━━━━━━━─────── loss 4.0314 lr 3.65e-03 |g| 0.094 410.69K tok/s + 1420/2355 ━━━━━━━━━━━─────── loss 3.8694 lr 3.60e-03 |g| 0.102 410.69K tok/s + 1430/2355 ━━━━━━━━━━━─────── loss 3.8809 lr 3.55e-03 |g| 0.110 410.70K tok/s + 1440/2355 ━━━━━━━━━━━─────── loss 3.9472 lr 3.50e-03 |g| 0.103 410.70K tok/s + 1450/2355 ━━━━━━━━━━━─────── loss 3.8784 lr 3.45e-03 |g| 0.103 410.70K tok/s + 1460/2355 ━━━━━━━━━━━─────── loss 3.9854 lr 3.40e-03 |g| 0.102 410.70K tok/s + 1470/2355 ━━━━━━━━━━━─────── loss 3.9467 lr 3.35e-03 |g| 0.108 410.70K tok/s + 1480/2355 ━━━━━━━━━━━─────── loss 3.9223 lr 3.30e-03 |g| 0.101 410.71K tok/s + 1490/2355 ━━━━━━━━━━━─────── loss 3.9412 lr 3.25e-03 |g| 0.105 410.71K tok/s + 1500/2355 ━━━━━━━━━━━─────── loss 3.8896 lr 3.20e-03 |g| 0.091 410.71K tok/s + 1510/2355 ━━━━━━━━━━━━────── loss 3.8803 lr 3.15e-03 |g| 0.100 410.71K tok/s + 1520/2355 ━━━━━━━━━━━━────── loss 3.8364 lr 3.10e-03 |g| 0.090 410.71K tok/s + 1530/2355 ━━━━━━━━━━━━────── loss 3.8746 lr 3.05e-03 |g| 0.094 410.72K tok/s + 1540/2355 ━━━━━━━━━━━━────── loss 3.9106 lr 3.01e-03 |g| 0.093 410.72K tok/s + 1550/2355 ━━━━━━━━━━━━────── loss 3.9031 lr 2.96e-03 |g| 0.095 410.72K tok/s + 1560/2355 ━━━━━━━━━━━━────── loss 3.8982 lr 2.91e-03 |g| 0.124 410.72K tok/s + 1570/2355 ━━━━━━━━━━━━────── loss 3.8533 lr 2.86e-03 |g| 0.103 410.72K tok/s + 1580/2355 ━━━━━━━━━━━━────── loss 3.8916 lr 2.82e-03 |g| 0.090 410.72K tok/s + 1590/2355 ━━━━━━━━━━━━────── loss 3.8693 lr 2.77e-03 |g| 0.088 410.73K tok/s + 1600/2355 ━━━━━━━━━━━━────── loss 3.8762 lr 2.72e-03 |g| 0.098 410.73K tok/s + 1610/2355 ━━━━━━━━━━━━────── loss 3.8081 lr 2.68e-03 |g| 0.105 410.73K tok/s + 1620/2355 ━━━━━━━━━━━━────── loss 3.8731 lr 2.63e-03 |g| 0.090 410.73K tok/s + 1630/2355 ━━━━━━━━━━━━────── loss 3.8041 lr 2.59e-03 |g| 0.101 410.73K tok/s + 1640/2355 ━━━━━━━━━━━━━───── loss 3.8482 lr 2.54e-03 |g| 0.100 410.73K tok/s + 1650/2355 ━━━━━━━━━━━━━───── loss 3.8236 lr 2.50e-03 |g| 0.090 410.73K tok/s + 1660/2355 ━━━━━━━━━━━━━───── loss 3.8649 lr 2.45e-03 |g| 0.092 410.74K tok/s + 1670/2355 ━━━━━━━━━━━━━───── loss 3.8523 lr 2.41e-03 |g| 0.087 410.74K tok/s + 1680/2355 ━━━━━━━━━━━━━───── loss 3.8307 lr 2.36e-03 |g| 0.100 410.74K tok/s + 1690/2355 ━━━━━━━━━━━━━───── loss 3.8349 lr 2.32e-03 |g| 0.089 410.74K tok/s + 1700/2355 ━━━━━━━━━━━━━───── loss 3.7848 lr 2.28e-03 |g| 0.098 410.74K tok/s + 1710/2355 ━━━━━━━━━━━━━───── loss 3.7880 lr 2.24e-03 |g| 0.097 410.74K tok/s + 1720/2355 ━━━━━━━━━━━━━───── loss 3.8267 lr 2.19e-03 |g| 0.102 410.75K tok/s + 1730/2355 ━━━━━━━━━━━━━───── loss 3.8740 lr 2.15e-03 |g| 0.092 410.75K tok/s + 1740/2355 ━━━━━━━━━━━━━───── loss 3.8498 lr 2.11e-03 |g| 0.100 410.75K tok/s + 1750/2355 ━━━━━━━━━━━━━───── loss 3.8178 lr 2.07e-03 |g| 0.090 410.75K tok/s + 1760/2355 ━━━━━━━━━━━━━───── loss 3.8070 lr 2.03e-03 |g| 0.093 410.75K tok/s + 1770/2355 ━━━━━━━━━━━━━━──── loss 3.8419 lr 1.99e-03 |g| 0.093 410.75K tok/s + 1780/2355 ━━━━━━━━━━━━━━──── loss 3.7639 lr 1.95e-03 |g| 0.092 410.75K tok/s + 1790/2355 ━━━━━━━━━━━━━━──── loss 3.7942 lr 1.92e-03 |g| 0.100 410.75K tok/s + 1800/2355 ━━━━━━━━━━━━━━──── loss 3.8496 lr 1.88e-03 |g| 0.091 410.76K tok/s + 1810/2355 ━━━━━━━━━━━━━━──── loss 3.8971 lr 1.84e-03 |g| 0.098 410.76K tok/s + 1820/2355 ━━━━━━━━━━━━━━──── loss 3.8009 lr 1.80e-03 |g| 0.090 410.76K tok/s + 1830/2355 ━━━━━━━━━━━━━━──── loss 3.7877 lr 1.77e-03 |g| 0.089 410.76K tok/s + 1840/2355 ━━━━━━━━━━━━━━──── loss 3.7377 lr 1.73e-03 |g| 0.085 410.76K tok/s + 1850/2355 ━━━━━━━━━━━━━━──── loss 3.8459 lr 1.70e-03 |g| 0.100 410.76K tok/s + 1860/2355 ━━━━━━━━━━━━━━──── loss 3.7855 lr 1.66e-03 |g| 0.096 410.76K tok/s + 1870/2355 ━━━━━━━━━━━━━━──── loss 3.7318 lr 1.63e-03 |g| 0.099 410.76K tok/s + 1880/2355 ━━━━━━━━━━━━━━──── loss 3.8917 lr 1.59e-03 |g| 0.089 410.76K tok/s + 1890/2355 ━━━━━━━━━━━━━━──── loss 3.8201 lr 1.56e-03 |g| 0.100 410.77K tok/s + 1900/2355 ━━━━━━━━━━━━━━━─── loss 3.7098 lr 1.53e-03 |g| 0.089 410.77K tok/s + 1910/2355 ━━━━━━━━━━━━━━━─── loss 3.7218 lr 1.50e-03 |g| 0.092 410.77K tok/s + 1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7977 lr 1.47e-03 |g| 0.089 410.77K tok/s + 1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7829 lr 1.43e-03 |g| 0.104 410.77K tok/s + 1940/2355 ━━━━━━━━━━━━━━━─── loss 3.7593 lr 1.40e-03 |g| 0.096 410.77K tok/s + 1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7880 lr 1.38e-03 |g| 0.092 410.77K tok/s + 1960/2355 ━━━━━━━━━━━━━━━─── loss 3.7556 lr 1.35e-03 |g| 0.089 410.77K tok/s + 1970/2355 ━━━━━━━━━━━━━━━─── loss 3.7740 lr 1.32e-03 |g| 0.089 410.77K tok/s + 1980/2355 ━━━━━━━━━━━━━━━─── loss 3.6645 lr 1.29e-03 |g| 0.090 410.77K tok/s + 1990/2355 ━━━━━━━━━━━━━━━─── loss 3.7605 lr 1.26e-03 |g| 0.085 410.77K tok/s + 2000/2355 ━━━━━━━━━━━━━━━─── loss 3.7344 lr 1.24e-03 |g| 0.085 410.78K tok/s + 2010/2355 ━━━━━━━━━━━━━━━─── loss 3.7064 lr 1.21e-03 |g| 0.089 410.78K tok/s + 2020/2355 ━━━━━━━━━━━━━━━─── loss 3.6689 lr 1.19e-03 |g| 0.094 410.78K tok/s + 2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6857 lr 1.16e-03 |g| 0.088 410.78K tok/s + 2040/2355 ━━━━━━━━━━━━━━━━── loss 3.7256 lr 1.14e-03 |g| 0.098 410.78K tok/s + 2050/2355 ━━━━━━━━━━━━━━━━── loss 3.7326 lr 1.12e-03 |g| 0.096 410.78K tok/s + 2060/2355 ━━━━━━━━━━━━━━━━── loss 3.6197 lr 1.10e-03 |g| 0.085 410.78K tok/s + 2070/2355 ━━━━━━━━━━━━━━━━── loss 3.7289 lr 1.07e-03 |g| 0.092 410.78K tok/s + 2080/2355 ━━━━━━━━━━━━━━━━── loss 3.7063 lr 1.05e-03 |g| 0.087 410.78K tok/s + 2090/2355 ━━━━━━━━━━━━━━━━── loss 3.8047 lr 1.03e-03 |g| 0.092 410.78K tok/s + 2100/2355 ━━━━━━━━━━━━━━━━── loss 3.7260 lr 1.01e-03 |g| 0.083 410.79K tok/s + 2110/2355 ━━━━━━━━━━━━━━━━── loss 3.7082 lr 9.96e-04 |g| 0.093 410.79K tok/s + 2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6769 lr 9.78e-04 |g| 0.089 410.79K tok/s + 2130/2355 ━━━━━━━━━━━━━━━━── loss 3.6615 lr 9.61e-04 |g| 0.094 410.79K tok/s + 2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6746 lr 9.44e-04 |g| 0.082 410.79K tok/s + 2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7717 lr 9.28e-04 |g| 0.086 410.79K tok/s + 2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7638 lr 9.13e-04 |g| 0.091 410.79K tok/s + 2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6649 lr 8.99e-04 |g| 0.100 410.79K tok/s + 2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6461 lr 8.86e-04 |g| 0.086 410.79K tok/s + 2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7153 lr 8.73e-04 |g| 0.085 410.79K tok/s + 2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7361 lr 8.61e-04 |g| 0.088 410.79K tok/s + 2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6298 lr 8.49e-04 |g| 0.093 410.80K tok/s + 2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7332 lr 8.39e-04 |g| 0.091 410.80K tok/s + 2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7324 lr 8.29e-04 |g| 0.089 410.80K tok/s + 2240/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6953 lr 8.20e-04 |g| 0.090 410.80K tok/s + 2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6263 lr 8.12e-04 |g| 0.083 410.80K tok/s + 2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6175 lr 8.04e-04 |g| 0.088 410.80K tok/s + 2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6844 lr 7.97e-04 |g| 0.090 410.80K tok/s + 2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6803 lr 7.91e-04 |g| 0.094 410.80K tok/s + 2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7361 lr 7.86e-04 |g| 0.092 410.80K tok/s + 2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.8464 lr 7.81e-04 |g| 0.093 410.80K tok/s + 2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7204 lr 7.77e-04 |g| 0.091 410.81K tok/s + 2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6053 lr 7.74e-04 |g| 0.092 410.81K tok/s + 2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7424 lr 7.72e-04 |g| 0.089 410.81K tok/s + 2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7169 lr 7.71e-04 |g| 0.099 410.81K tok/s + 2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7009 lr 7.70e-04 |g| 0.096 410.81K tok/s + 2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6687 lr 7.70e-04 |g| 0.089 410.81K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 1502.784s (compilation excluded) + validation loss 3.6930 in 1.637s + diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..1f65fdd28cf7aab10a077ae02b777dd0488e926c --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log @@ -0,0 +1 @@ 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"training_token_budget": 617349120, + "training_usable_tokens_per_epoch": 7899979776, + "validation_loss": 3.6259662806987762, + "validation_probe_count": 0, + "validation_probe_seconds": 0.0, + "validation_tokens": 2097152 + }, + "profile": "dev", + "schema_version": 1, + "seed": 1337, + "status": "ok", + "system": { + "controller_process_index": 1, + "device_count": 16, + "device_ids": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..78d986b66834c49a44b0baec7e72e0df3ae186f9 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log @@ -0,0 +1,291 @@ +E0819 12:30:01.694777 3464137 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:30:01.695075 317849 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:30:01.695897 3563762 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 12:30:01.697772 3517093 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 2dacd79ce81a │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 2,355 steps │ + │ train tokens 617.35M │ + │ traced FLOPs 846622.11T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 74.16s, eval in 20.21s; periodic validation disabled + 1/2355 ────────────────── loss 10.8898 lr 1.63e-05 |g| 2.553 285.63K tok/s + 10/2355 ────────────────── loss 10.0583 lr 1.63e-04 |g| 2.074 382.79K tok/s + 20/2355 ────────────────── loss 9.1689 lr 3.26e-04 |g| 2.026 396.70K tok/s + 30/2355 ────────────────── loss 8.0959 lr 4.89e-04 |g| 1.587 401.51K tok/s + 40/2355 ────────────────── loss 7.5933 lr 6.52e-04 |g| 0.594 403.90K tok/s + 50/2355 ────────────────── loss 7.4589 lr 8.15e-04 |g| 0.429 405.41K tok/s + 60/2355 ────────────────── loss 7.2556 lr 9.78e-04 |g| 0.398 406.40K tok/s + 70/2355 ━───────────────── loss 7.1053 lr 1.14e-03 |g| 0.398 407.07K tok/s + 80/2355 ━───────────────── loss 6.8759 lr 1.30e-03 |g| 0.369 407.57K tok/s + 90/2355 ━───────────────── loss 6.7207 lr 1.47e-03 |g| 0.310 407.95K tok/s + 100/2355 ━───────────────── loss 6.5266 lr 1.63e-03 |g| 0.352 408.26K tok/s + 110/2355 ━───────────────── loss 6.4404 lr 1.79e-03 |g| 0.442 408.51K tok/s + 120/2355 ━───────────────── loss 6.3370 lr 1.96e-03 |g| 0.514 408.72K tok/s + 130/2355 ━───────────────── loss 6.3312 lr 2.12e-03 |g| 0.362 408.90K tok/s + 140/2355 ━───────────────── loss 6.1480 lr 2.28e-03 |g| 0.541 409.05K tok/s + 150/2355 ━───────────────── loss 5.9929 lr 2.45e-03 |g| 0.339 409.18K tok/s + 160/2355 ━───────────────── loss 5.9872 lr 2.61e-03 |g| 0.337 409.29K tok/s + 170/2355 ━───────────────── loss 5.8768 lr 2.77e-03 |g| 0.618 409.39K tok/s + 180/2355 ━───────────────── loss 5.8516 lr 2.94e-03 |g| 0.431 409.48K tok/s + 190/2355 ━───────────────── loss 5.7250 lr 3.10e-03 |g| 0.390 409.56K tok/s + 200/2355 ━━──────────────── loss 5.7307 lr 3.26e-03 |g| 0.292 409.62K tok/s + 210/2355 ━━──────────────── loss 5.6165 lr 3.42e-03 |g| 0.377 409.69K tok/s + 220/2355 ━━──────────────── loss 5.6173 lr 3.59e-03 |g| 0.544 409.75K tok/s + 230/2355 ━━──────────────── loss 5.5647 lr 3.75e-03 |g| 0.305 409.80K tok/s + 240/2355 ━━──────────────── loss 5.5404 lr 3.85e-03 |g| 0.430 409.85K tok/s + 250/2355 ━━──────────────── loss 5.3311 lr 3.85e-03 |g| 0.268 409.89K tok/s + 260/2355 ━━──────────────── loss 5.3696 lr 3.85e-03 |g| 0.258 409.93K tok/s + 270/2355 ━━──────────────── loss 5.2974 lr 3.85e-03 |g| 0.445 409.97K tok/s + 280/2355 ━━──────────────── loss 5.2278 lr 3.84e-03 |g| 0.269 410.01K tok/s + 290/2355 ━━──────────────── loss 5.1833 lr 3.84e-03 |g| 0.272 410.04K tok/s + 300/2355 ━━──────────────── loss 5.1264 lr 3.84e-03 |g| 0.339 410.08K tok/s + 310/2355 ━━──────────────── loss 5.1056 lr 3.84e-03 |g| 0.211 410.10K tok/s + 320/2355 ━━──────────────── loss 5.0582 lr 3.84e-03 |g| 0.312 410.13K tok/s + 330/2355 ━━━─────────────── loss 4.9833 lr 3.83e-03 |g| 0.219 410.16K tok/s + 340/2355 ━━━─────────────── loss 5.0076 lr 3.83e-03 |g| 0.283 410.19K tok/s + 350/2355 ━━━─────────────── loss 4.9582 lr 3.82e-03 |g| 0.271 410.21K tok/s + 360/2355 ━━━─────────────── loss 4.9987 lr 3.82e-03 |g| 0.224 410.23K tok/s + 370/2355 ━━━─────────────── loss 4.9721 lr 3.81e-03 |g| 0.327 410.25K tok/s + 380/2355 ━━━─────────────── loss 4.9365 lr 3.81e-03 |g| 0.186 410.27K tok/s + 390/2355 ━━━─────────────── loss 4.8770 lr 3.80e-03 |g| 0.207 410.29K tok/s + 400/2355 ━━━─────────────── loss 4.9363 lr 3.80e-03 |g| 0.228 410.30K tok/s + 410/2355 ━━━─────────────── loss 4.7990 lr 3.79e-03 |g| 0.252 410.32K tok/s + 420/2355 ━━━─────────────── loss 4.8304 lr 3.78e-03 |g| 0.236 410.34K tok/s + 430/2355 ━━━─────────────── loss 4.8144 lr 3.78e-03 |g| 0.192 410.35K tok/s + 440/2355 ━━━─────────────── loss 4.8033 lr 3.77e-03 |g| 0.230 410.37K tok/s + 450/2355 ━━━─────────────── loss 4.6646 lr 3.76e-03 |g| 0.208 410.38K tok/s + 460/2355 ━━━━────────────── loss 4.7414 lr 3.75e-03 |g| 0.262 410.40K tok/s + 470/2355 ━━━━────────────── loss 4.6923 lr 3.75e-03 |g| 0.225 410.41K tok/s + 480/2355 ━━━━────────────── loss 4.6398 lr 3.74e-03 |g| 0.223 410.42K tok/s + 490/2355 ━━━━────────────── loss 4.6647 lr 3.73e-03 |g| 0.260 410.43K tok/s + 500/2355 ━━━━────────────── loss 4.6460 lr 3.72e-03 |g| 0.216 410.45K tok/s + 510/2355 ━━━━────────────── loss 4.5206 lr 3.71e-03 |g| 0.164 410.46K tok/s + 520/2355 ━━━━────────────── loss 4.4904 lr 3.70e-03 |g| 0.170 410.47K tok/s + 530/2355 ━━━━────────────── loss 4.6185 lr 3.69e-03 |g| 0.171 410.48K tok/s + 540/2355 ━━━━────────────── loss 4.5207 lr 3.68e-03 |g| 0.200 410.49K tok/s + 550/2355 ━━━━────────────── loss 4.5483 lr 3.66e-03 |g| 0.177 410.50K tok/s + 560/2355 ━━━━────────────── loss 4.4614 lr 3.65e-03 |g| 0.197 410.51K tok/s + 570/2355 ━━━━────────────── loss 4.5597 lr 3.64e-03 |g| 0.197 410.52K tok/s + 580/2355 ━━━━────────────── loss 4.5474 lr 3.63e-03 |g| 0.185 410.52K tok/s + 590/2355 ━━━━━───────────── loss 4.4605 lr 3.62e-03 |g| 0.165 410.53K tok/s + 600/2355 ━━━━━───────────── loss 4.3627 lr 3.60e-03 |g| 0.192 410.54K tok/s + 610/2355 ━━━━━───────────── loss 4.4501 lr 3.59e-03 |g| 0.249 410.55K tok/s + 620/2355 ━━━━━───────────── loss 4.3295 lr 3.58e-03 |g| 0.194 410.55K tok/s + 630/2355 ━━━━━───────────── loss 4.3217 lr 3.56e-03 |g| 0.205 410.56K tok/s + 640/2355 ━━━━━───────────── loss 4.3444 lr 3.55e-03 |g| 0.181 410.56K tok/s + 650/2355 ━━━━━───────────── loss 4.3320 lr 3.53e-03 |g| 0.149 410.57K tok/s + 660/2355 ━━━━━───────────── loss 4.3935 lr 3.52e-03 |g| 0.188 410.57K tok/s + 670/2355 ━━━━━───────────── loss 4.2930 lr 3.50e-03 |g| 0.151 410.58K tok/s + 680/2355 ━━━━━───────────── loss 4.3627 lr 3.49e-03 |g| 0.171 410.58K tok/s + 690/2355 ━━━━━───────────── loss 4.2661 lr 3.47e-03 |g| 0.165 410.59K tok/s + 700/2355 ━━━━━───────────── loss 4.2311 lr 3.45e-03 |g| 0.178 410.60K tok/s + 710/2355 ━━━━━───────────── loss 4.2298 lr 3.44e-03 |g| 0.180 410.60K tok/s + 720/2355 ━━━━━━──────────── loss 4.2472 lr 3.42e-03 |g| 0.181 410.61K tok/s + 730/2355 ━━━━━━──────────── loss 4.2871 lr 3.40e-03 |g| 0.185 410.61K tok/s + 740/2355 ━━━━━━──────────── loss 4.1613 lr 3.39e-03 |g| 0.157 410.62K tok/s + 750/2355 ━━━━━━──────────── loss 4.2300 lr 3.37e-03 |g| 0.192 410.62K tok/s + 760/2355 ━━━━━━──────────── loss 4.1573 lr 3.35e-03 |g| 0.159 410.63K tok/s + 770/2355 ━━━━━━──────────── loss 4.1849 lr 3.33e-03 |g| 0.158 410.63K tok/s + 780/2355 ━━━━━━──────────── loss 4.2020 lr 3.32e-03 |g| 0.158 410.64K tok/s + 790/2355 ━━━━━━──────────── loss 4.1927 lr 3.30e-03 |g| 0.155 410.64K tok/s + 800/2355 ━━━━━━──────────── loss 4.1536 lr 3.28e-03 |g| 0.146 410.65K tok/s + 810/2355 ━━━━━━──────────── loss 4.1121 lr 3.26e-03 |g| 0.172 410.65K tok/s + 820/2355 ━━━━━━──────────── loss 4.1904 lr 3.24e-03 |g| 0.152 410.66K tok/s + 830/2355 ━━━━━━──────────── loss 4.1977 lr 3.22e-03 |g| 0.147 410.66K tok/s + 840/2355 ━━━━━━──────────── loss 4.0873 lr 3.20e-03 |g| 0.180 410.66K tok/s + 850/2355 ━━━━━━──────────── loss 4.1051 lr 3.18e-03 |g| 0.156 410.67K tok/s + 860/2355 ━━━━━━━─────────── loss 4.0506 lr 3.16e-03 |g| 0.177 410.67K tok/s + 870/2355 ━━━━━━━─────────── loss 4.1354 lr 3.14e-03 |g| 0.139 410.68K tok/s + 880/2355 ━━━━━━━─────────── loss 4.0936 lr 3.12e-03 |g| 0.181 410.68K tok/s + 890/2355 ━━━━━━━─────────── loss 4.2484 lr 3.10e-03 |g| 0.160 410.69K tok/s + 900/2355 ━━━━━━━─────────── loss 4.0990 lr 3.07e-03 |g| 0.135 410.69K tok/s + 910/2355 ━━━━━━━─────────── loss 4.1574 lr 3.05e-03 |g| 0.145 410.69K tok/s + 920/2355 ━━━━━━━─────────── loss 4.0994 lr 3.03e-03 |g| 0.183 410.70K tok/s + 930/2355 ━━━━━━━─────────── loss 4.1277 lr 3.01e-03 |g| 0.140 410.70K tok/s + 940/2355 ━━━━━━━─────────── loss 4.0797 lr 2.99e-03 |g| 0.164 410.70K tok/s + 950/2355 ━━━━━━━─────────── loss 4.0093 lr 2.97e-03 |g| 0.151 410.71K tok/s + 960/2355 ━━━━━━━─────────── loss 4.1312 lr 2.94e-03 |g| 0.159 410.71K tok/s + 970/2355 ━━━━━━━─────────── loss 4.0273 lr 2.92e-03 |g| 0.165 410.71K tok/s + 980/2355 ━━━━━━━─────────── loss 4.0774 lr 2.90e-03 |g| 0.145 410.72K tok/s + 990/2355 ━━━━━━━━────────── loss 4.0836 lr 2.87e-03 |g| 0.140 410.72K tok/s + 1000/2355 ━━━━━━━━────────── loss 3.9710 lr 2.85e-03 |g| 0.140 410.72K tok/s + 1010/2355 ━━━━━━━━────────── loss 4.0904 lr 2.83e-03 |g| 0.159 410.73K tok/s + 1020/2355 ━━━━━━━━────────── loss 3.9862 lr 2.80e-03 |g| 0.133 410.73K tok/s + 1030/2355 ━━━━━━━━────────── loss 4.0264 lr 2.78e-03 |g| 0.166 410.73K tok/s + 1040/2355 ━━━━━━━━────────── loss 4.0442 lr 2.76e-03 |g| 0.135 410.73K tok/s + 1050/2355 ━━━━━━━━────────── loss 3.9891 lr 2.73e-03 |g| 0.158 410.74K tok/s + 1060/2355 ━━━━━━━━────────── loss 3.9767 lr 2.71e-03 |g| 0.155 410.74K tok/s + 1070/2355 ━━━━━━━━────────── loss 3.9921 lr 2.68e-03 |g| 0.148 410.74K tok/s + 1080/2355 ━━━━━━━━────────── loss 3.9566 lr 2.66e-03 |g| 0.149 410.74K tok/s + 1090/2355 ━━━━━━━━────────── loss 4.0104 lr 2.64e-03 |g| 0.176 410.75K tok/s + 1100/2355 ━━━━━━━━────────── loss 4.0390 lr 2.61e-03 |g| 0.141 410.75K tok/s + 1110/2355 ━━━━━━━━────────── loss 3.9485 lr 2.59e-03 |g| 0.143 410.75K tok/s + 1120/2355 ━━━━━━━━━───────── loss 3.9846 lr 2.56e-03 |g| 0.161 410.76K tok/s + 1130/2355 ━━━━━━━━━───────── loss 3.8862 lr 2.54e-03 |g| 0.139 410.76K tok/s + 1140/2355 ━━━━━━━━━───────── loss 3.9550 lr 2.51e-03 |g| 0.129 410.76K tok/s + 1150/2355 ━━━━━━━━━───────── loss 3.9503 lr 2.49e-03 |g| 0.145 410.76K tok/s + 1160/2355 ━━━━━━━━━───────── loss 3.9608 lr 2.46e-03 |g| 0.134 410.77K tok/s + 1170/2355 ━━━━━━━━━───────── loss 3.8613 lr 2.44e-03 |g| 0.159 410.77K tok/s + 1180/2355 ━━━━━━━━━───────── loss 3.9392 lr 2.41e-03 |g| 0.139 410.77K tok/s + 1190/2355 ━━━━━━━━━───────── loss 3.9561 lr 2.39e-03 |g| 0.146 410.77K tok/s + 1200/2355 ━━━━━━━━━───────── loss 3.9347 lr 2.36e-03 |g| 0.139 410.77K tok/s + 1210/2355 ━━━━━━━━━───────── loss 3.9060 lr 2.34e-03 |g| 0.150 410.78K tok/s + 1220/2355 ━━━━━━━━━───────── loss 3.9261 lr 2.31e-03 |g| 0.129 410.78K tok/s + 1230/2355 ━━━━━━━━━───────── loss 3.8529 lr 2.28e-03 |g| 0.148 410.78K tok/s + 1240/2355 ━━━━━━━━━───────── loss 3.9199 lr 2.26e-03 |g| 0.137 410.78K tok/s + 1250/2355 ━━━━━━━━━━──────── loss 3.9043 lr 2.23e-03 |g| 0.142 410.79K tok/s + 1260/2355 ━━━━━━━━━━──────── loss 3.8827 lr 2.21e-03 |g| 0.138 410.79K tok/s + 1270/2355 ━━━━━━━━━━──────── loss 3.8485 lr 2.18e-03 |g| 0.136 410.79K tok/s + 1280/2355 ━━━━━━━━━━──────── loss 3.9368 lr 2.16e-03 |g| 0.144 410.79K tok/s + 1290/2355 ━━━━━━━━━━──────── loss 3.8601 lr 2.13e-03 |g| 0.137 410.79K tok/s + 1300/2355 ━━━━━━━━━━──────── loss 3.8951 lr 2.11e-03 |g| 0.138 410.79K tok/s + 1310/2355 ━━━━━━━━━━──────── loss 3.8884 lr 2.08e-03 |g| 0.150 410.80K tok/s + 1320/2355 ━━━━━━━━━━──────── loss 3.8748 lr 2.05e-03 |g| 0.138 410.80K tok/s + 1330/2355 ━━━━━━━━━━──────── loss 3.8084 lr 2.03e-03 |g| 0.133 410.80K tok/s + 1340/2355 ━━━━━━━━━━──────── loss 3.8168 lr 2.00e-03 |g| 0.137 410.80K tok/s + 1350/2355 ━━━━━━━━━━──────── loss 3.7870 lr 1.98e-03 |g| 0.144 410.80K tok/s + 1360/2355 ━━━━━━━━━━──────── loss 3.9746 lr 1.95e-03 |g| 0.136 410.81K tok/s + 1370/2355 ━━━━━━━━━━──────── loss 3.8020 lr 1.93e-03 |g| 0.144 410.81K tok/s + 1380/2355 ━━━━━━━━━━━─────── loss 3.9067 lr 1.90e-03 |g| 0.134 410.81K tok/s + 1390/2355 ━━━━━━━━━━━─────── loss 3.8081 lr 1.87e-03 |g| 0.187 410.81K tok/s + 1400/2355 ━━━━━━━━━━━─────── loss 3.8961 lr 1.85e-03 |g| 0.123 410.81K tok/s + 1410/2355 ━━━━━━━━━━━─────── loss 3.9372 lr 1.82e-03 |g| 0.134 410.81K tok/s + 1420/2355 ━━━━━━━━━━━─────── loss 3.7765 lr 1.80e-03 |g| 0.141 410.82K tok/s + 1430/2355 ━━━━━━━━━━━─────── loss 3.7882 lr 1.77e-03 |g| 0.147 410.82K tok/s + 1440/2355 ━━━━━━━━━━━─────── loss 3.8506 lr 1.75e-03 |g| 0.136 410.82K tok/s + 1450/2355 ━━━━━━━━━━━─────── loss 3.7872 lr 1.72e-03 |g| 0.148 410.82K tok/s + 1460/2355 ━━━━━━━━━━━─────── loss 3.8952 lr 1.70e-03 |g| 0.145 410.82K tok/s + 1470/2355 ━━━━━━━━━━━─────── loss 3.8518 lr 1.67e-03 |g| 0.128 410.82K tok/s + 1480/2355 ━━━━━━━━━━━─────── loss 3.8224 lr 1.65e-03 |g| 0.130 410.82K tok/s + 1490/2355 ━━━━━━━━━━━─────── loss 3.8425 lr 1.62e-03 |g| 0.128 410.82K tok/s + 1500/2355 ━━━━━━━━━━━─────── loss 3.7951 lr 1.60e-03 |g| 0.128 410.83K tok/s + 1510/2355 ━━━━━━━━━━━━────── loss 3.7846 lr 1.58e-03 |g| 0.135 410.83K tok/s + 1520/2355 ━━━━━━━━━━━━────── loss 3.7451 lr 1.55e-03 |g| 0.132 410.83K tok/s + 1530/2355 ━━━━━━━━━━━━────── loss 3.7836 lr 1.53e-03 |g| 0.131 410.83K tok/s + 1540/2355 ━━━━━━━━━━━━────── loss 3.8155 lr 1.50e-03 |g| 0.125 410.83K tok/s + 1550/2355 ━━━━━━━━━━━━────── loss 3.8099 lr 1.48e-03 |g| 0.116 410.83K tok/s + 1560/2355 ━━━━━━━━━━━━────── loss 3.8045 lr 1.45e-03 |g| 0.141 410.83K tok/s + 1570/2355 ━━━━━━━━━━━━────── loss 3.7577 lr 1.43e-03 |g| 0.134 410.84K tok/s + 1580/2355 ━━━━━━━━━━━━────── loss 3.8039 lr 1.41e-03 |g| 0.130 410.84K tok/s + 1590/2355 ━━━━━━━━━━━━────── loss 3.7808 lr 1.38e-03 |g| 0.125 410.84K tok/s + 1600/2355 ━━━━━━━━━━━━────── loss 3.7867 lr 1.36e-03 |g| 0.132 410.84K tok/s + 1610/2355 ━━━━━━━━━━━━────── loss 3.7196 lr 1.34e-03 |g| 0.139 410.84K tok/s + 1620/2355 ━━━━━━━━━━━━────── loss 3.7851 lr 1.32e-03 |g| 0.134 410.84K tok/s + 1630/2355 ━━━━━━━━━━━━────── loss 3.7115 lr 1.29e-03 |g| 0.123 410.84K tok/s + 1640/2355 ━━━━━━━━━━━━━───── loss 3.7595 lr 1.27e-03 |g| 0.126 410.84K tok/s + 1650/2355 ━━━━━━━━━━━━━───── loss 3.7300 lr 1.25e-03 |g| 0.121 410.85K tok/s + 1660/2355 ━━━━━━━━━━━━━───── loss 3.7793 lr 1.23e-03 |g| 0.122 410.85K tok/s + 1670/2355 ━━━━━━━━━━━━━───── loss 3.7708 lr 1.20e-03 |g| 0.131 410.85K tok/s + 1680/2355 ━━━━━━━━━━━━━───── loss 3.7449 lr 1.18e-03 |g| 0.147 410.85K tok/s + 1690/2355 ━━━━━━━━━━━━━───── loss 3.7500 lr 1.16e-03 |g| 0.117 410.85K tok/s + 1700/2355 ━━━━━━━━━━━━━───── loss 3.6952 lr 1.14e-03 |g| 0.126 410.85K tok/s + 1710/2355 ━━━━━━━━━━━━━───── loss 3.7035 lr 1.12e-03 |g| 0.133 410.85K tok/s + 1720/2355 ━━━━━━━━━━━━━───── loss 3.7403 lr 1.10e-03 |g| 0.123 410.85K tok/s + 1730/2355 ━━━━━━━━━━━━━───── loss 3.7897 lr 1.08e-03 |g| 0.133 410.86K tok/s + 1740/2355 ━━━━━━━━━━━━━───── loss 3.7637 lr 1.06e-03 |g| 0.126 410.86K tok/s + 1750/2355 ━━━━━━━━━━━━━───── loss 3.7349 lr 1.04e-03 |g| 0.127 410.86K tok/s + 1760/2355 ━━━━━━━━━━━━━───── loss 3.7217 lr 1.02e-03 |g| 0.124 410.86K tok/s + 1770/2355 ━━━━━━━━━━━━━━──── loss 3.7550 lr 9.96e-04 |g| 0.126 410.86K tok/s + 1780/2355 ━━━━━━━━━━━━━━──── loss 3.6816 lr 9.77e-04 |g| 0.132 410.86K tok/s + 1790/2355 ━━━━━━━━━━━━━━──── loss 3.7133 lr 9.58e-04 |g| 0.131 410.86K tok/s + 1800/2355 ━━━━━━━━━━━━━━──── loss 3.7647 lr 9.39e-04 |g| 0.129 410.86K tok/s + 1810/2355 ━━━━━━━━━━━━━━──── loss 3.8152 lr 9.20e-04 |g| 0.135 410.86K tok/s + 1820/2355 ━━━━━━━━━━━━━━──── loss 3.7172 lr 9.02e-04 |g| 0.126 410.86K tok/s + 1830/2355 ━━━━━━━━━━━━━━──── loss 3.7048 lr 8.84e-04 |g| 0.137 410.86K tok/s + 1840/2355 ━━━━━━━━━━━━━━──── loss 3.6568 lr 8.66e-04 |g| 0.119 410.86K tok/s + 1850/2355 ━━━━━━━━━━━━━━──── loss 3.7626 lr 8.48e-04 |g| 0.134 410.86K tok/s + 1860/2355 ━━━━━━━━━━━━━━──── loss 3.7044 lr 8.31e-04 |g| 0.130 410.87K tok/s + 1870/2355 ━━━━━━━━━━━━━━──── loss 3.6491 lr 8.14e-04 |g| 0.124 410.87K tok/s + 1880/2355 ━━━━━━━━━━━━━━──── loss 3.8106 lr 7.97e-04 |g| 0.131 410.87K tok/s + 1890/2355 ━━━━━━━━━━━━━━──── loss 3.7408 lr 7.80e-04 |g| 0.145 410.87K tok/s + 1900/2355 ━━━━━━━━━━━━━━━─── loss 3.6289 lr 7.64e-04 |g| 0.123 410.87K tok/s + 1910/2355 ━━━━━━━━━━━━━━━─── loss 3.6453 lr 7.48e-04 |g| 0.128 410.87K tok/s + 1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7171 lr 7.33e-04 |g| 0.120 410.87K tok/s + 1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7025 lr 7.17e-04 |g| 0.125 410.87K tok/s + 1940/2355 ━━━━━━━━━━━━━━━─── loss 3.6831 lr 7.02e-04 |g| 0.128 410.87K tok/s + 1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7080 lr 6.88e-04 |g| 0.127 410.87K tok/s + 1960/2355 ━━━━━━━━━━━━━━━─── loss 3.6802 lr 6.73e-04 |g| 0.119 410.87K tok/s + 1970/2355 ━━━━━━━━━━━━━━━─── loss 3.6959 lr 6.59e-04 |g| 0.125 410.87K tok/s + 1980/2355 ━━━━━━━━━━━━━━━─── loss 3.5848 lr 6.46e-04 |g| 0.119 410.87K tok/s + 1990/2355 ━━━━━━━━━━━━━━━─── loss 3.6825 lr 6.32e-04 |g| 0.121 410.87K tok/s + 2000/2355 ━━━━━━━━━━━━━━━─── loss 3.6565 lr 6.19e-04 |g| 0.122 410.88K tok/s + 2010/2355 ━━━━━━━━━━━━━━━─── loss 3.6286 lr 6.07e-04 |g| 0.115 410.88K tok/s + 2020/2355 ━━━━━━━━━━━━━━━─── loss 3.5943 lr 5.94e-04 |g| 0.128 410.88K tok/s + 2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6117 lr 5.82e-04 |g| 0.119 410.88K tok/s + 2040/2355 ━━━━━━━━━━━━━━━━── loss 3.6544 lr 5.70e-04 |g| 0.127 410.88K tok/s + 2050/2355 ━━━━━━━━━━━━━━━━── loss 3.6545 lr 5.59e-04 |g| 0.128 410.88K tok/s + 2060/2355 ━━━━━━━━━━━━━━━━── loss 3.5458 lr 5.48e-04 |g| 0.126 410.88K tok/s + 2070/2355 ━━━━━━━━━━━━━━━━── loss 3.6604 lr 5.37e-04 |g| 0.128 410.88K tok/s + 2080/2355 ━━━━━━━━━━━━━━━━── loss 3.6365 lr 5.27e-04 |g| 0.125 410.88K tok/s + 2090/2355 ━━━━━━━━━━━━━━━━── loss 3.7300 lr 5.17e-04 |g| 0.111 410.88K tok/s + 2100/2355 ━━━━━━━━━━━━━━━━── loss 3.6520 lr 5.07e-04 |g| 0.119 410.88K tok/s + 2110/2355 ━━━━━━━━━━━━━━━━── loss 3.6359 lr 4.98e-04 |g| 0.125 410.88K tok/s + 2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6016 lr 4.89e-04 |g| 0.124 410.88K tok/s + 2130/2355 ━━━━━━━━━━━━━━━━── loss 3.5859 lr 4.80e-04 |g| 0.121 410.88K tok/s + 2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6051 lr 4.72e-04 |g| 0.123 410.89K tok/s + 2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7014 lr 4.64e-04 |g| 0.122 410.89K tok/s + 2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6930 lr 4.57e-04 |g| 0.133 410.89K tok/s + 2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5907 lr 4.50e-04 |g| 0.131 410.89K tok/s + 2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5800 lr 4.43e-04 |g| 0.124 410.89K tok/s + 2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6441 lr 4.36e-04 |g| 0.119 410.89K tok/s + 2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6652 lr 4.30e-04 |g| 0.116 410.89K tok/s + 2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5608 lr 4.25e-04 |g| 0.135 410.89K tok/s + 2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6626 lr 4.19e-04 |g| 0.121 410.89K tok/s + 2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6620 lr 4.15e-04 |g| 0.125 410.89K tok/s + 2240/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6272 lr 4.10e-04 |g| 0.126 410.89K tok/s + 2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5587 lr 4.06e-04 |g| 0.119 410.89K tok/s + 2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5455 lr 4.02e-04 |g| 0.126 410.89K tok/s + 2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6122 lr 3.99e-04 |g| 0.125 410.89K tok/s + 2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6062 lr 3.96e-04 |g| 0.127 410.89K tok/s + 2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6673 lr 3.93e-04 |g| 0.120 410.89K tok/s + 2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7702 lr 3.91e-04 |g| 0.126 410.89K tok/s + 2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6514 lr 3.89e-04 |g| 0.117 410.90K tok/s + 2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5351 lr 3.87e-04 |g| 0.129 410.90K tok/s + 2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6732 lr 3.86e-04 |g| 0.126 410.90K tok/s + 2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6456 lr 3.85e-04 |g| 0.124 410.90K tok/s + 2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6290 lr 3.85e-04 |g| 0.135 410.90K tok/s + 2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5989 lr 3.85e-04 |g| 0.123 410.90K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 1502.456s (compilation excluded) + validation loss 3.6260 in 1.600s + diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..9ff0d1866fb9e0ae67cf639f31d0441bf120048e --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log @@ -0,0 +1 @@ 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"tpu_flash_causal_attention_bwd_dkv": 2061584302080, + "tpu_flash_causal_attention_bwd_dq": 2061584302080, + "tpu_flash_causal_attention_fwd": 2061584302080 + }, + "elementwise_per_sequence": 13316361400, + "matmul_per_sequence": 11234369863680, + "method": "traced-jaxpr", + "warnings": [] + }, + "flops_per_token": 1371383040, + "mfu_estimate": 0.12806769011997554, + "model_tier": "125m", + "parameter_count": 123525760, + "parameters": 241628800, + "schedule_steps": 2355, + "tokens_per_parameter": 5.0005339526492865, + "tokens_per_second": 410897.48093128845, + "tokens_processed": 617349120, + "total_compile_seconds": 168.70230867085047, + "total_parameter_count": 241628800, + "train_compile_seconds": 62.97572565602604, + "train_loss": 3.6547751426696777, + "train_seconds": 1502.440751402988, + "training_data_epochs": 0.0781456582807333, + "training_data_sharding": "rank_disjoint_shuffled_windows", + "training_sampling": "shuffled_epochs", + "training_steps": 2355, + "training_token_budget": 617349120, + "training_usable_tokens_per_epoch": 7899979776, + "validation_loss": 3.6831141114234924, + "validation_probe_count": 0, + "validation_probe_seconds": 0.0, + "validation_tokens": 2097152 + }, + "profile": "dev", + "schema_version": 1, + "seed": 1337, + "status": "ok", + "system": { + "controller_process_index": 1, + "device_count": 16, + "device_ids": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..53d487fd7434cc82bcc151ab4f3446036552edde --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log @@ -0,0 +1,291 @@ +E0819 13:27:05.780017 3609271 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:27:05.780001 3509778 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:27:05.780651 367544 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:27:05.781315 3562422 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 2dacd79ce81a │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 2,355 steps │ + │ train tokens 617.35M │ + │ traced FLOPs 846622.11T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 62.98s, eval in 18.75s; periodic validation disabled + 1/2355 ────────────────── loss 10.8898 lr 8.15e-06 |g| 2.553 351.00K tok/s + 10/2355 ────────────────── loss 10.2153 lr 8.15e-05 |g| 2.070 389.18K tok/s + 20/2355 ────────────────── loss 9.7209 lr 1.63e-04 |g| 2.071 400.05K tok/s + 30/2355 ────────────────── loss 8.9607 lr 2.45e-04 |g| 1.977 403.72K tok/s + 40/2355 ────────────────── loss 8.1558 lr 3.26e-04 |g| 1.697 405.56K tok/s + 50/2355 ────────────────── loss 7.6205 lr 4.08e-04 |g| 0.833 406.67K tok/s + 60/2355 ────────────────── loss 7.4458 lr 4.89e-04 |g| 0.394 407.39K tok/s + 70/2355 ━───────────────── loss 7.2834 lr 5.71e-04 |g| 0.372 407.91K tok/s + 80/2355 ━───────────────── loss 7.0078 lr 6.52e-04 |g| 0.437 408.29K tok/s + 90/2355 ━───────────────── loss 6.8352 lr 7.34e-04 |g| 0.302 408.59K tok/s + 100/2355 ━───────────────── loss 6.6043 lr 8.15e-04 |g| 0.255 408.83K tok/s + 110/2355 ━───────────────── loss 6.4938 lr 8.97e-04 |g| 0.381 409.01K tok/s + 120/2355 ━───────────────── loss 6.4002 lr 9.78e-04 |g| 0.411 409.17K tok/s + 130/2355 ━───────────────── loss 6.3506 lr 1.06e-03 |g| 0.423 409.31K tok/s + 140/2355 ━───────────────── loss 6.1792 lr 1.14e-03 |g| 0.388 409.42K tok/s + 150/2355 ━───────────────── loss 6.0448 lr 1.22e-03 |g| 0.449 409.52K tok/s + 160/2355 ━───────────────── loss 6.0334 lr 1.30e-03 |g| 0.378 409.61K tok/s + 170/2355 ━───────────────── loss 5.8977 lr 1.39e-03 |g| 0.441 409.69K tok/s + 180/2355 ━───────────────── loss 5.8796 lr 1.47e-03 |g| 0.392 409.77K tok/s + 190/2355 ━───────────────── loss 5.7624 lr 1.55e-03 |g| 0.659 409.83K tok/s + 200/2355 ━━──────────────── loss 5.7640 lr 1.63e-03 |g| 0.330 409.89K tok/s + 210/2355 ━━──────────────── loss 5.6454 lr 1.71e-03 |g| 0.397 409.94K tok/s + 220/2355 ━━──────────────── loss 5.6435 lr 1.79e-03 |g| 0.432 409.99K tok/s + 230/2355 ━━──────────────── loss 5.6190 lr 1.88e-03 |g| 0.589 410.03K tok/s + 240/2355 ━━──────────────── loss 5.5678 lr 1.92e-03 |g| 0.320 410.07K tok/s + 250/2355 ━━──────────────── loss 5.3680 lr 1.92e-03 |g| 0.371 410.11K tok/s + 260/2355 ━━──────────────── loss 5.4295 lr 1.92e-03 |g| 0.449 410.14K tok/s + 270/2355 ━━──────────────── loss 5.3516 lr 1.92e-03 |g| 0.496 410.17K tok/s + 280/2355 ━━──────────────── loss 5.2794 lr 1.92e-03 |g| 0.404 410.20K tok/s + 290/2355 ━━──────────────── loss 5.2307 lr 1.92e-03 |g| 0.306 410.23K tok/s + 300/2355 ━━──────────────── loss 5.1644 lr 1.92e-03 |g| 0.298 410.25K tok/s + 310/2355 ━━──────────────── loss 5.1481 lr 1.92e-03 |g| 0.285 410.28K tok/s + 320/2355 ━━──────────────── loss 5.1027 lr 1.92e-03 |g| 0.374 410.30K tok/s + 330/2355 ━━━─────────────── loss 5.0177 lr 1.92e-03 |g| 0.272 410.32K tok/s + 340/2355 ━━━─────────────── loss 5.0470 lr 1.91e-03 |g| 0.321 410.34K tok/s + 350/2355 ━━━─────────────── loss 5.0103 lr 1.91e-03 |g| 0.484 410.36K tok/s + 360/2355 ━━━─────────────── loss 5.0479 lr 1.91e-03 |g| 0.323 410.38K tok/s + 370/2355 ━━━─────────────── loss 5.0105 lr 1.91e-03 |g| 0.419 410.40K tok/s + 380/2355 ━━━─────────────── loss 4.9764 lr 1.90e-03 |g| 0.288 410.41K tok/s + 390/2355 ━━━─────────────── loss 4.9193 lr 1.90e-03 |g| 0.245 410.43K tok/s + 400/2355 ━━━─────────────── loss 4.9790 lr 1.90e-03 |g| 0.260 410.44K tok/s + 410/2355 ━━━─────────────── loss 4.8361 lr 1.90e-03 |g| 0.232 410.45K tok/s + 420/2355 ━━━─────────────── loss 4.8665 lr 1.89e-03 |g| 0.237 410.47K tok/s + 430/2355 ━━━─────────────── loss 4.8682 lr 1.89e-03 |g| 0.285 410.48K tok/s + 440/2355 ━━━─────────────── loss 4.8584 lr 1.88e-03 |g| 0.255 410.49K tok/s + 450/2355 ━━━─────────────── loss 4.7065 lr 1.88e-03 |g| 0.255 410.50K tok/s + 460/2355 ━━━━────────────── loss 4.7880 lr 1.88e-03 |g| 0.276 410.52K tok/s + 470/2355 ━━━━────────────── loss 4.7352 lr 1.87e-03 |g| 0.261 410.53K tok/s + 480/2355 ━━━━────────────── loss 4.6887 lr 1.87e-03 |g| 0.245 410.54K tok/s + 490/2355 ━━━━────────────── loss 4.7128 lr 1.86e-03 |g| 0.293 410.55K tok/s + 500/2355 ━━━━────────────── loss 4.6999 lr 1.86e-03 |g| 0.281 410.55K tok/s + 510/2355 ━━━━────────────── loss 4.6046 lr 1.85e-03 |g| 0.287 410.56K tok/s + 520/2355 ━━━━────────────── loss 4.5768 lr 1.85e-03 |g| 0.238 410.57K tok/s + 530/2355 ━━━━────────────── loss 4.6987 lr 1.84e-03 |g| 0.236 410.58K tok/s + 540/2355 ━━━━────────────── loss 4.6099 lr 1.84e-03 |g| 0.232 410.59K tok/s + 550/2355 ━━━━────────────── loss 4.6328 lr 1.83e-03 |g| 0.236 410.59K tok/s + 560/2355 ━━━━────────────── loss 4.5550 lr 1.83e-03 |g| 0.271 410.60K tok/s + 570/2355 ━━━━────────────── loss 4.6451 lr 1.82e-03 |g| 0.215 410.61K tok/s + 580/2355 ━━━━────────────── loss 4.6603 lr 1.81e-03 |g| 0.222 410.62K tok/s + 590/2355 ━━━━━───────────── loss 4.5782 lr 1.81e-03 |g| 0.238 410.62K tok/s + 600/2355 ━━━━━───────────── loss 4.4699 lr 1.80e-03 |g| 0.264 410.63K tok/s + 610/2355 ━━━━━───────────── loss 4.5498 lr 1.79e-03 |g| 0.243 410.63K tok/s + 620/2355 ━━━━━───────────── loss 4.4345 lr 1.79e-03 |g| 0.272 410.64K tok/s + 630/2355 ━━━━━───────────── loss 4.4258 lr 1.78e-03 |g| 0.227 410.64K tok/s + 640/2355 ━━━━━───────────── loss 4.4395 lr 1.77e-03 |g| 0.212 410.65K tok/s + 650/2355 ━━━━━───────────── loss 4.4280 lr 1.77e-03 |g| 0.251 410.65K tok/s + 660/2355 ━━━━━───────────── loss 4.4925 lr 1.76e-03 |g| 0.219 410.66K tok/s + 670/2355 ━━━━━───────────── loss 4.3850 lr 1.75e-03 |g| 0.230 410.66K tok/s + 680/2355 ━━━━━───────────── loss 4.4640 lr 1.74e-03 |g| 0.228 410.67K tok/s + 690/2355 ━━━━━───────────── loss 4.3546 lr 1.74e-03 |g| 0.213 410.67K tok/s + 700/2355 ━━━━━───────────── loss 4.3161 lr 1.73e-03 |g| 0.225 410.67K tok/s + 710/2355 ━━━━━───────────── loss 4.3071 lr 1.72e-03 |g| 0.236 410.68K tok/s + 720/2355 ━━━━━━──────────── loss 4.3225 lr 1.71e-03 |g| 0.220 410.68K tok/s + 730/2355 ━━━━━━──────────── loss 4.3557 lr 1.70e-03 |g| 0.208 410.69K tok/s + 740/2355 ━━━━━━──────────── loss 4.2311 lr 1.69e-03 |g| 0.239 410.69K tok/s + 750/2355 ━━━━━━──────────── loss 4.2997 lr 1.68e-03 |g| 0.252 410.69K tok/s + 760/2355 ━━━━━━──────────── loss 4.2295 lr 1.68e-03 |g| 0.203 410.70K tok/s + 770/2355 ━━━━━━──────────── loss 4.2482 lr 1.67e-03 |g| 0.212 410.70K tok/s + 780/2355 ━━━━━━──────────── loss 4.2724 lr 1.66e-03 |g| 0.261 410.71K tok/s + 790/2355 ━━━━━━──────────── loss 4.2610 lr 1.65e-03 |g| 0.213 410.71K tok/s + 800/2355 ━━━━━━──────────── loss 4.2138 lr 1.64e-03 |g| 0.211 410.71K tok/s + 810/2355 ━━━━━━──────────── loss 4.1741 lr 1.63e-03 |g| 0.219 410.72K tok/s + 820/2355 ━━━━━━──────────── loss 4.2466 lr 1.62e-03 |g| 0.218 410.72K tok/s + 830/2355 ━━━━━━──────────── loss 4.2598 lr 1.61e-03 |g| 0.241 410.72K tok/s + 840/2355 ━━━━━━──────────── loss 4.1506 lr 1.60e-03 |g| 0.245 410.73K tok/s + 850/2355 ━━━━━━──────────── loss 4.1641 lr 1.59e-03 |g| 0.209 410.73K tok/s + 860/2355 ━━━━━━━─────────── loss 4.1074 lr 1.58e-03 |g| 0.232 410.73K tok/s + 870/2355 ━━━━━━━─────────── loss 4.1939 lr 1.57e-03 |g| 0.223 410.74K tok/s + 880/2355 ━━━━━━━─────────── loss 4.1450 lr 1.56e-03 |g| 0.243 410.74K tok/s + 890/2355 ━━━━━━━─────────── loss 4.2982 lr 1.55e-03 |g| 0.203 410.74K tok/s + 900/2355 ━━━━━━━─────────── loss 4.1595 lr 1.54e-03 |g| 0.190 410.75K tok/s + 910/2355 ━━━━━━━─────────── loss 4.2141 lr 1.53e-03 |g| 0.232 410.75K tok/s + 920/2355 ━━━━━━━─────────── loss 4.1533 lr 1.52e-03 |g| 0.204 410.75K tok/s + 930/2355 ━━━━━━━─────────── loss 4.1796 lr 1.50e-03 |g| 0.194 410.76K tok/s + 940/2355 ━━━━━━━─────────── loss 4.1307 lr 1.49e-03 |g| 0.202 410.76K tok/s + 950/2355 ━━━━━━━─────────── loss 4.0631 lr 1.48e-03 |g| 0.213 410.76K tok/s + 960/2355 ━━━━━━━─────────── loss 4.1813 lr 1.47e-03 |g| 0.221 410.76K tok/s + 970/2355 ━━━━━━━─────────── loss 4.0749 lr 1.46e-03 |g| 0.206 410.77K tok/s + 980/2355 ━━━━━━━─────────── loss 4.1270 lr 1.45e-03 |g| 0.220 410.77K tok/s + 990/2355 ━━━━━━━━────────── loss 4.1311 lr 1.44e-03 |g| 0.200 410.77K tok/s + 1000/2355 ━━━━━━━━────────── loss 4.0219 lr 1.43e-03 |g| 0.203 410.77K tok/s + 1010/2355 ━━━━━━━━────────── loss 4.1329 lr 1.41e-03 |g| 0.191 410.77K tok/s + 1020/2355 ━━━━━━━━────────── loss 4.0394 lr 1.40e-03 |g| 0.193 410.78K tok/s + 1030/2355 ━━━━━━━━────────── loss 4.0736 lr 1.39e-03 |g| 0.207 410.78K tok/s + 1040/2355 ━━━━━━━━────────── loss 4.0946 lr 1.38e-03 |g| 0.209 410.78K tok/s + 1050/2355 ━━━━━━━━────────── loss 4.0341 lr 1.37e-03 |g| 0.191 410.78K tok/s + 1060/2355 ━━━━━━━━────────── loss 4.0244 lr 1.35e-03 |g| 0.303 410.78K tok/s + 1070/2355 ━━━━━━━━────────── loss 4.0400 lr 1.34e-03 |g| 0.199 410.79K tok/s + 1080/2355 ━━━━━━━━────────── loss 4.0016 lr 1.33e-03 |g| 0.192 410.79K tok/s + 1090/2355 ━━━━━━━━────────── loss 4.0499 lr 1.32e-03 |g| 0.231 410.79K tok/s + 1100/2355 ━━━━━━━━────────── loss 4.0843 lr 1.31e-03 |g| 0.187 410.79K tok/s + 1110/2355 ━━━━━━━━────────── loss 3.9912 lr 1.29e-03 |g| 0.231 410.79K tok/s + 1120/2355 ━━━━━━━━━───────── loss 4.0272 lr 1.28e-03 |g| 0.197 410.80K tok/s + 1130/2355 ━━━━━━━━━───────── loss 3.9302 lr 1.27e-03 |g| 0.198 410.80K tok/s + 1140/2355 ━━━━━━━━━───────── loss 4.0000 lr 1.26e-03 |g| 0.182 410.80K tok/s + 1150/2355 ━━━━━━━━━───────── loss 3.9910 lr 1.24e-03 |g| 0.180 410.80K tok/s + 1160/2355 ━━━━━━━━━───────── loss 4.0065 lr 1.23e-03 |g| 0.209 410.80K tok/s + 1170/2355 ━━━━━━━━━───────── loss 3.9069 lr 1.22e-03 |g| 0.218 410.81K tok/s + 1180/2355 ━━━━━━━━━───────── loss 3.9828 lr 1.21e-03 |g| 0.189 410.81K tok/s + 1190/2355 ━━━━━━━━━───────── loss 3.9989 lr 1.19e-03 |g| 0.194 410.81K tok/s + 1200/2355 ━━━━━━━━━───────── loss 3.9772 lr 1.18e-03 |g| 0.186 410.81K tok/s + 1210/2355 ━━━━━━━━━───────── loss 3.9481 lr 1.17e-03 |g| 0.214 410.81K tok/s + 1220/2355 ━━━━━━━━━───────── loss 3.9629 lr 1.16e-03 |g| 0.170 410.81K tok/s + 1230/2355 ━━━━━━━━━───────── loss 3.8969 lr 1.14e-03 |g| 0.194 410.82K tok/s + 1240/2355 ━━━━━━━━━───────── loss 3.9602 lr 1.13e-03 |g| 0.182 410.82K tok/s + 1250/2355 ━━━━━━━━━━──────── loss 3.9476 lr 1.12e-03 |g| 0.200 410.82K tok/s + 1260/2355 ━━━━━━━━━━──────── loss 3.9252 lr 1.10e-03 |g| 0.195 410.82K tok/s + 1270/2355 ━━━━━━━━━━──────── loss 3.8922 lr 1.09e-03 |g| 0.188 410.82K tok/s + 1280/2355 ━━━━━━━━━━──────── loss 3.9776 lr 1.08e-03 |g| 0.198 410.82K tok/s + 1290/2355 ━━━━━━━━━━──────── loss 3.9054 lr 1.07e-03 |g| 0.193 410.82K tok/s + 1300/2355 ━━━━━━━━━━──────── loss 3.9381 lr 1.05e-03 |g| 0.202 410.82K tok/s + 1310/2355 ━━━━━━━━━━──────── loss 3.9318 lr 1.04e-03 |g| 0.197 410.82K tok/s + 1320/2355 ━━━━━━━━━━──────── loss 3.9124 lr 1.03e-03 |g| 0.189 410.83K tok/s + 1330/2355 ━━━━━━━━━━──────── loss 3.8515 lr 1.01e-03 |g| 0.177 410.83K tok/s + 1340/2355 ━━━━━━━━━━──────── loss 3.8586 lr 1.00e-03 |g| 0.191 410.83K tok/s + 1350/2355 ━━━━━━━━━━──────── loss 3.8331 lr 9.88e-04 |g| 0.192 410.83K tok/s + 1360/2355 ━━━━━━━━━━──────── loss 4.0162 lr 9.76e-04 |g| 0.206 410.83K tok/s + 1370/2355 ━━━━━━━━━━──────── loss 3.8455 lr 9.63e-04 |g| 0.192 410.83K tok/s + 1380/2355 ━━━━━━━━━━━─────── loss 3.9496 lr 9.50e-04 |g| 0.187 410.83K tok/s + 1390/2355 ━━━━━━━━━━━─────── loss 3.8504 lr 9.37e-04 |g| 0.247 410.84K tok/s + 1400/2355 ━━━━━━━━━━━─────── loss 3.9380 lr 9.25e-04 |g| 0.191 410.84K tok/s + 1410/2355 ━━━━━━━━━━━─────── loss 3.9747 lr 9.12e-04 |g| 0.189 410.84K tok/s + 1420/2355 ━━━━━━━━━━━─────── loss 3.8193 lr 8.99e-04 |g| 0.204 410.84K tok/s + 1430/2355 ━━━━━━━━━━━─────── loss 3.8266 lr 8.87e-04 |g| 0.196 410.84K tok/s + 1440/2355 ━━━━━━━━━━━─────── loss 3.8941 lr 8.74e-04 |g| 0.185 410.84K tok/s + 1450/2355 ━━━━━━━━━━━─────── loss 3.8293 lr 8.62e-04 |g| 0.183 410.84K tok/s + 1460/2355 ━━━━━━━━━━━─────── loss 3.9347 lr 8.49e-04 |g| 0.188 410.84K tok/s + 1470/2355 ━━━━━━━━━━━─────── loss 3.8931 lr 8.37e-04 |g| 0.188 410.84K tok/s + 1480/2355 ━━━━━━━━━━━─────── loss 3.8653 lr 8.24e-04 |g| 0.181 410.85K tok/s + 1490/2355 ━━━━━━━━━━━─────── loss 3.8860 lr 8.12e-04 |g| 0.173 410.85K tok/s + 1500/2355 ━━━━━━━━━━━─────── loss 3.8348 lr 8.00e-04 |g| 0.176 410.85K tok/s + 1510/2355 ━━━━━━━━━━━━────── loss 3.8263 lr 7.88e-04 |g| 0.186 410.85K tok/s + 1520/2355 ━━━━━━━━━━━━────── loss 3.7930 lr 7.75e-04 |g| 0.185 410.85K tok/s + 1530/2355 ━━━━━━━━━━━━────── loss 3.8287 lr 7.63e-04 |g| 0.187 410.85K tok/s + 1540/2355 ━━━━━━━━━━━━────── loss 3.8631 lr 7.51e-04 |g| 0.183 410.85K tok/s + 1550/2355 ━━━━━━━━━━━━────── loss 3.8564 lr 7.39e-04 |g| 0.189 410.85K tok/s + 1560/2355 ━━━━━━━━━━━━────── loss 3.8521 lr 7.27e-04 |g| 0.193 410.85K tok/s + 1570/2355 ━━━━━━━━━━━━────── loss 3.8040 lr 7.16e-04 |g| 0.173 410.86K tok/s + 1580/2355 ━━━━━━━━━━━━────── loss 3.8423 lr 7.04e-04 |g| 0.181 410.86K tok/s + 1590/2355 ━━━━━━━━━━━━────── loss 3.8253 lr 6.92e-04 |g| 0.180 410.86K tok/s + 1600/2355 ━━━━━━━━━━━━────── loss 3.8301 lr 6.81e-04 |g| 0.187 410.86K tok/s + 1610/2355 ━━━━━━━━━━━━────── loss 3.7632 lr 6.69e-04 |g| 0.184 410.86K tok/s + 1620/2355 ━━━━━━━━━━━━────── loss 3.8304 lr 6.58e-04 |g| 0.183 410.86K tok/s + 1630/2355 ━━━━━━━━━━━━────── loss 3.7558 lr 6.46e-04 |g| 0.176 410.86K tok/s + 1640/2355 ━━━━━━━━━━━━━───── loss 3.8062 lr 6.35e-04 |g| 0.179 410.86K tok/s + 1650/2355 ━━━━━━━━━━━━━───── loss 3.7849 lr 6.24e-04 |g| 0.179 410.86K tok/s + 1660/2355 ━━━━━━━━━━━━━───── loss 3.8240 lr 6.13e-04 |g| 0.168 410.86K tok/s + 1670/2355 ━━━━━━━━━━━━━───── loss 3.8121 lr 6.02e-04 |g| 0.183 410.86K tok/s + 1680/2355 ━━━━━━━━━━━━━───── loss 3.7942 lr 5.91e-04 |g| 0.181 410.87K tok/s + 1690/2355 ━━━━━━━━━━━━━───── loss 3.7934 lr 5.80e-04 |g| 0.168 410.87K tok/s + 1700/2355 ━━━━━━━━━━━━━───── loss 3.7429 lr 5.70e-04 |g| 0.176 410.87K tok/s + 1710/2355 ━━━━━━━━━━━━━───── loss 3.7517 lr 5.59e-04 |g| 0.170 410.87K tok/s + 1720/2355 ━━━━━━━━━━━━━───── loss 3.7874 lr 5.49e-04 |g| 0.185 410.87K tok/s + 1730/2355 ━━━━━━━━━━━━━───── loss 3.8361 lr 5.38e-04 |g| 0.173 410.87K tok/s + 1740/2355 ━━━━━━━━━━━━━───── loss 3.8133 lr 5.28e-04 |g| 0.183 410.87K tok/s + 1750/2355 ━━━━━━━━━━━━━───── loss 3.7806 lr 5.18e-04 |g| 0.178 410.87K tok/s + 1760/2355 ━━━━━━━━━━━━━───── loss 3.7698 lr 5.08e-04 |g| 0.176 410.87K tok/s + 1770/2355 ━━━━━━━━━━━━━━──── loss 3.8022 lr 4.98e-04 |g| 0.175 410.87K tok/s + 1780/2355 ━━━━━━━━━━━━━━──── loss 3.7269 lr 4.88e-04 |g| 0.174 410.87K tok/s + 1790/2355 ━━━━━━━━━━━━━━──── loss 3.7636 lr 4.79e-04 |g| 0.189 410.87K tok/s + 1800/2355 ━━━━━━━━━━━━━━──── loss 3.8174 lr 4.69e-04 |g| 0.199 410.87K tok/s + 1810/2355 ━━━━━━━━━━━━━━──── loss 3.8608 lr 4.60e-04 |g| 0.194 410.87K tok/s + 1820/2355 ━━━━━━━━━━━━━━──── loss 3.7684 lr 4.51e-04 |g| 0.179 410.88K tok/s + 1830/2355 ━━━━━━━━━━━━━━──── loss 3.7541 lr 4.42e-04 |g| 0.183 410.88K tok/s + 1840/2355 ━━━━━━━━━━━━━━──── loss 3.7080 lr 4.33e-04 |g| 0.172 410.88K tok/s + 1850/2355 ━━━━━━━━━━━━━━──── loss 3.8153 lr 4.24e-04 |g| 0.186 410.88K tok/s + 1860/2355 ━━━━━━━━━━━━━━──── loss 3.7569 lr 4.15e-04 |g| 0.182 410.88K tok/s + 1870/2355 ━━━━━━━━━━━━━━──── loss 3.6996 lr 4.07e-04 |g| 0.176 410.88K tok/s + 1880/2355 ━━━━━━━━━━━━━━──── loss 3.8588 lr 3.98e-04 |g| 0.170 410.88K tok/s + 1890/2355 ━━━━━━━━━━━━━━──── loss 3.7904 lr 3.90e-04 |g| 0.186 410.88K tok/s + 1900/2355 ━━━━━━━━━━━━━━━─── loss 3.6809 lr 3.82e-04 |g| 0.178 410.88K tok/s + 1910/2355 ━━━━━━━━━━━━━━━─── loss 3.6985 lr 3.74e-04 |g| 0.174 410.88K tok/s + 1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7708 lr 3.66e-04 |g| 0.174 410.88K tok/s + 1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7525 lr 3.59e-04 |g| 0.170 410.88K tok/s + 1940/2355 ━━━━━━━━━━━━━━━─── loss 3.7352 lr 3.51e-04 |g| 0.179 410.88K tok/s + 1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7620 lr 3.44e-04 |g| 0.180 410.88K tok/s + 1960/2355 ━━━━━━━━━━━━━━━─── loss 3.7335 lr 3.37e-04 |g| 0.171 410.88K tok/s + 1970/2355 ━━━━━━━━━━━━━━━─── loss 3.7525 lr 3.30e-04 |g| 0.172 410.88K tok/s + 1980/2355 ━━━━━━━━━━━━━━━─── loss 3.6359 lr 3.23e-04 |g| 0.175 410.88K tok/s + 1990/2355 ━━━━━━━━━━━━━━━─── loss 3.7387 lr 3.16e-04 |g| 0.173 410.89K tok/s + 2000/2355 ━━━━━━━━━━━━━━━─── loss 3.7078 lr 3.10e-04 |g| 0.177 410.89K tok/s + 2010/2355 ━━━━━━━━━━━━━━━─── loss 3.6807 lr 3.03e-04 |g| 0.167 410.89K tok/s + 2020/2355 ━━━━━━━━━━━━━━━─── loss 3.6503 lr 2.97e-04 |g| 0.178 410.89K tok/s + 2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6632 lr 2.91e-04 |g| 0.172 410.89K tok/s + 2040/2355 ━━━━━━━━━━━━━━━━── loss 3.7051 lr 2.85e-04 |g| 0.167 410.89K tok/s + 2050/2355 ━━━━━━━━━━━━━━━━── loss 3.7128 lr 2.79e-04 |g| 0.188 410.89K tok/s + 2060/2355 ━━━━━━━━━━━━━━━━── loss 3.5990 lr 2.74e-04 |g| 0.180 410.89K tok/s + 2070/2355 ━━━━━━━━━━━━━━━━── loss 3.7124 lr 2.69e-04 |g| 0.181 410.89K tok/s + 2080/2355 ━━━━━━━━━━━━━━━━── loss 3.6889 lr 2.63e-04 |g| 0.165 410.89K tok/s + 2090/2355 ━━━━━━━━━━━━━━━━── loss 3.7850 lr 2.58e-04 |g| 0.167 410.89K tok/s + 2100/2355 ━━━━━━━━━━━━━━━━── loss 3.7052 lr 2.54e-04 |g| 0.164 410.89K tok/s + 2110/2355 ━━━━━━━━━━━━━━━━── loss 3.6924 lr 2.49e-04 |g| 0.174 410.89K tok/s + 2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6554 lr 2.44e-04 |g| 0.174 410.89K tok/s + 2130/2355 ━━━━━━━━━━━━━━━━── loss 3.6447 lr 2.40e-04 |g| 0.170 410.89K tok/s + 2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6585 lr 2.36e-04 |g| 0.175 410.89K tok/s + 2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7553 lr 2.32e-04 |g| 0.173 410.89K tok/s + 2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7478 lr 2.28e-04 |g| 0.189 410.89K tok/s + 2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6477 lr 2.25e-04 |g| 0.181 410.90K tok/s + 2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6307 lr 2.21e-04 |g| 0.164 410.90K tok/s + 2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6958 lr 2.18e-04 |g| 0.171 410.90K tok/s + 2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7186 lr 2.15e-04 |g| 0.160 410.90K tok/s + 2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6171 lr 2.12e-04 |g| 0.179 410.90K tok/s + 2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7203 lr 2.10e-04 |g| 0.176 410.90K tok/s + 2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7182 lr 2.07e-04 |g| 0.178 410.90K tok/s + 2240/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6848 lr 2.05e-04 |g| 0.174 410.90K tok/s + 2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6122 lr 2.03e-04 |g| 0.165 410.90K tok/s + 2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6035 lr 2.01e-04 |g| 0.175 410.90K tok/s + 2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6723 lr 1.99e-04 |g| 0.176 410.90K tok/s + 2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6662 lr 1.98e-04 |g| 0.170 410.90K tok/s + 2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7250 lr 1.96e-04 |g| 0.170 410.90K tok/s + 2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.8301 lr 1.95e-04 |g| 0.197 410.90K tok/s + 2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7114 lr 1.94e-04 |g| 0.167 410.90K tok/s + 2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5951 lr 1.94e-04 |g| 0.171 410.90K tok/s + 2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7286 lr 1.93e-04 |g| 0.173 410.90K tok/s + 2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7009 lr 1.93e-04 |g| 0.176 410.90K tok/s + 2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6877 lr 1.92e-04 |g| 0.193 410.90K tok/s + 2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6548 lr 1.92e-04 |g| 0.166 410.90K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 1502.441s (compilation excluded) + validation loss 3.6831 in 1.620s + diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..cbfef5a6475665fa9d204bf8db76473fbb000d36 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log @@ -0,0 +1 @@ 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index 0000000000000000000000000000000000000000..f17b462fed363a17226311e2f5eb3c6b41929099 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/stderr.log @@ -0,0 +1,173 @@ +E0819 14:23:39.803717 3606685 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:23:39.803687 3554324 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:23:39.804403 3654200 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:23:39.804463 417483 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 4a03491fb0eb │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,177 steps │ + │ train tokens 617.09M │ + │ traced FLOPs 846262.61T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 55.67s, eval in 22.48s; periodic validation disabled + 1/1177 ────────────────── loss 10.8878 lr 9.22e-05 |g| 2.551 338.04K tok/s + 10/1177 ────────────────── loss 8.9086 lr 9.22e-04 |g| 1.977 403.32K tok/s + 20/1177 ────────────────── loss 7.6980 lr 1.84e-03 |g| 0.721 410.18K tok/s + 30/1177 ────────────────── loss 7.7340 lr 2.77e-03 |g| 0.705 412.68K tok/s + 40/1177 ━───────────────── loss 7.6891 lr 3.69e-03 |g| 0.491 414.07K tok/s + 50/1177 ━───────────────── loss 7.4374 lr 4.61e-03 |g| 0.729 414.83K tok/s + 60/1177 ━───────────────── loss 7.2717 lr 5.53e-03 |g| 0.363 415.26K tok/s + 70/1177 ━───────────────── loss 7.2314 lr 6.46e-03 |g| 0.544 415.55K tok/s + 80/1177 ━───────────────── loss 7.1500 lr 7.38e-03 |g| 0.343 415.76K tok/s + 90/1177 ━───────────────── loss 7.0224 lr 8.30e-03 |g| 0.372 415.90K tok/s + 100/1177 ━━──────────────── loss 6.9719 lr 9.22e-03 |g| 0.457 416.01K tok/s + 110/1177 ━━──────────────── loss 6.9745 lr 1.01e-02 |g| 0.924 416.10K tok/s + 120/1177 ━━──────────────── loss 6.8412 lr 1.09e-02 |g| 0.650 416.17K tok/s + 130/1177 ━━──────────────── loss 6.6542 lr 1.09e-02 |g| 0.363 416.23K tok/s + 140/1177 ━━──────────────── loss 6.5767 lr 1.09e-02 |g| 0.472 416.27K tok/s + 150/1177 ━━──────────────── loss 6.4493 lr 1.09e-02 |g| 0.481 416.31K tok/s + 160/1177 ━━──────────────── loss 6.3714 lr 1.08e-02 |g| 0.353 416.34K tok/s + 170/1177 ━━━─────────────── loss 6.2705 lr 1.08e-02 |g| 0.288 416.37K tok/s + 180/1177 ━━━─────────────── loss 6.2491 lr 1.08e-02 |g| 0.287 416.39K tok/s + 190/1177 ━━━─────────────── loss 6.1249 lr 1.08e-02 |g| 0.219 416.42K tok/s + 200/1177 ━━━─────────────── loss 6.1364 lr 1.07e-02 |g| 0.208 416.43K tok/s + 210/1177 ━━━─────────────── loss 6.0603 lr 1.07e-02 |g| 0.213 416.44K tok/s + 220/1177 ━━━─────────────── loss 5.9603 lr 1.07e-02 |g| 0.230 416.46K tok/s + 230/1177 ━━━━────────────── loss 5.9052 lr 1.06e-02 |g| 0.207 416.48K tok/s + 240/1177 ━━━━────────────── loss 5.8438 lr 1.06e-02 |g| 0.214 416.49K tok/s + 250/1177 ━━━━────────────── loss 5.7820 lr 1.05e-02 |g| 0.160 416.50K tok/s + 260/1177 ━━━━────────────── loss 5.7778 lr 1.05e-02 |g| 0.288 416.51K tok/s + 270/1177 ━━━━────────────── loss 5.6957 lr 1.04e-02 |g| 0.118 416.52K tok/s + 280/1177 ━━━━────────────── loss 5.6942 lr 1.03e-02 |g| 0.233 416.53K tok/s + 290/1177 ━━━━────────────── loss 5.6443 lr 1.03e-02 |g| 0.174 416.54K tok/s + 300/1177 ━━━━━───────────── loss 5.5234 lr 1.02e-02 |g| 0.125 416.55K tok/s + 310/1177 ━━━━━───────────── loss 5.4968 lr 1.01e-02 |g| 0.176 416.56K tok/s + 320/1177 ━━━━━───────────── loss 5.4448 lr 1.00e-02 |g| 0.275 416.56K tok/s + 330/1177 ━━━━━───────────── loss 5.4664 lr 9.95e-03 |g| 0.114 416.57K tok/s + 340/1177 ━━━━━───────────── loss 5.4613 lr 9.86e-03 |g| 0.144 416.58K tok/s + 350/1177 ━━━━━───────────── loss 5.3406 lr 9.77e-03 |g| 0.284 416.58K tok/s + 360/1177 ━━━━━━──────────── loss 5.3279 lr 9.68e-03 |g| 0.185 416.59K tok/s + 370/1177 ━━━━━━──────────── loss 5.2443 lr 9.58e-03 |g| 0.152 416.60K tok/s + 380/1177 ━━━━━━──────────── loss 5.2374 lr 9.48e-03 |g| 0.113 416.60K tok/s + 390/1177 ━━━━━━──────────── loss 5.2448 lr 9.38e-03 |g| 0.157 416.61K tok/s + 400/1177 ━━━━━━──────────── loss 5.1717 lr 9.27e-03 |g| 0.256 416.61K tok/s + 410/1177 ━━━━━━──────────── loss 5.1499 lr 9.16e-03 |g| 0.094 416.62K tok/s + 420/1177 ━━━━━━──────────── loss 5.0766 lr 9.05e-03 |g| 0.162 416.62K tok/s + 430/1177 ━━━━━━━─────────── loss 5.0087 lr 8.93e-03 |g| 0.121 416.63K tok/s + 440/1177 ━━━━━━━─────────── loss 5.0452 lr 8.82e-03 |g| 0.164 416.63K tok/s + 450/1177 ━━━━━━━─────────── loss 5.0164 lr 8.70e-03 |g| 0.112 416.63K tok/s + 460/1177 ━━━━━━━─────────── loss 4.9736 lr 8.57e-03 |g| 0.108 416.64K tok/s + 470/1177 ━━━━━━━─────────── loss 4.9602 lr 8.45e-03 |g| 0.145 416.64K tok/s + 480/1177 ━━━━━━━─────────── loss 4.9146 lr 8.32e-03 |g| 0.107 416.64K tok/s + 490/1177 ━━━━━━━─────────── loss 4.8816 lr 8.19e-03 |g| 0.141 416.65K tok/s + 500/1177 ━━━━━━━━────────── loss 4.7715 lr 8.06e-03 |g| 0.192 416.65K tok/s + 510/1177 ━━━━━━━━────────── loss 4.7543 lr 7.93e-03 |g| 0.096 416.65K tok/s + 520/1177 ━━━━━━━━────────── loss 4.8106 lr 7.80e-03 |g| 0.182 416.66K tok/s + 530/1177 ━━━━━━━━────────── loss 4.6846 lr 7.66e-03 |g| 0.076 416.66K tok/s + 540/1177 ━━━━━━━━────────── loss 4.6416 lr 7.52e-03 |g| 0.138 416.66K tok/s + 550/1177 ━━━━━━━━────────── loss 4.6867 lr 7.38e-03 |g| 0.140 416.66K tok/s + 560/1177 ━━━━━━━━━───────── loss 4.6403 lr 7.24e-03 |g| 0.124 416.67K tok/s + 570/1177 ━━━━━━━━━───────── loss 4.6200 lr 7.10e-03 |g| 0.124 416.67K tok/s + 580/1177 ━━━━━━━━━───────── loss 4.5755 lr 6.96e-03 |g| 0.108 416.67K tok/s + 590/1177 ━━━━━━━━━───────── loss 4.5801 lr 6.82e-03 |g| 0.134 416.67K tok/s + 600/1177 ━━━━━━━━━───────── loss 4.5741 lr 6.67e-03 |g| 0.113 416.67K tok/s + 610/1177 ━━━━━━━━━───────── loss 4.4793 lr 6.53e-03 |g| 0.101 416.68K tok/s + 620/1177 ━━━━━━━━━───────── loss 4.4664 lr 6.39e-03 |g| 0.092 416.68K tok/s + 630/1177 ━━━━━━━━━━──────── loss 4.4489 lr 6.24e-03 |g| 0.091 416.68K tok/s + 640/1177 ━━━━━━━━━━──────── loss 4.4691 lr 6.10e-03 |g| 0.124 416.68K tok/s + 650/1177 ━━━━━━━━━━──────── loss 4.4399 lr 5.95e-03 |g| 0.112 416.68K tok/s + 660/1177 ━━━━━━━━━━──────── loss 4.4126 lr 5.81e-03 |g| 0.090 416.68K tok/s + 670/1177 ━━━━━━━━━━──────── loss 4.4205 lr 5.66e-03 |g| 0.128 416.68K tok/s + 680/1177 ━━━━━━━━━━──────── loss 4.4501 lr 5.52e-03 |g| 0.116 416.68K tok/s + 690/1177 ━━━━━━━━━━━─────── loss 4.3534 lr 5.37e-03 |g| 0.082 416.69K tok/s + 700/1177 ━━━━━━━━━━━─────── loss 4.3827 lr 5.23e-03 |g| 0.125 416.69K tok/s + 710/1177 ━━━━━━━━━━━─────── loss 4.3179 lr 5.08e-03 |g| 0.101 416.69K tok/s + 720/1177 ━━━━━━━━━━━─────── loss 4.3328 lr 4.94e-03 |g| 0.104 416.69K tok/s + 730/1177 ━━━━━━━━━━━─────── loss 4.3507 lr 4.80e-03 |g| 0.114 416.69K tok/s + 740/1177 ━━━━━━━━━━━─────── loss 4.2704 lr 4.66e-03 |g| 0.088 416.69K tok/s + 750/1177 ━━━━━━━━━━━─────── loss 4.2846 lr 4.52e-03 |g| 0.087 416.69K tok/s + 760/1177 ━━━━━━━━━━━━────── loss 4.2126 lr 4.38e-03 |g| 0.102 416.70K tok/s + 770/1177 ━━━━━━━━━━━━────── loss 4.2143 lr 4.25e-03 |g| 0.092 416.70K tok/s + 780/1177 ━━━━━━━━━━━━────── loss 4.2455 lr 4.11e-03 |g| 0.094 416.70K tok/s + 790/1177 ━━━━━━━━━━━━────── loss 4.2186 lr 3.98e-03 |g| 0.104 416.70K tok/s + 800/1177 ━━━━━━━━━━━━────── loss 4.1947 lr 3.85e-03 |g| 0.082 416.70K tok/s + 810/1177 ━━━━━━━━━━━━────── loss 4.1891 lr 3.72e-03 |g| 0.080 416.70K tok/s + 820/1177 ━━━━━━━━━━━━━───── loss 4.1805 lr 3.59e-03 |g| 0.099 416.70K tok/s + 830/1177 ━━━━━━━━━━━━━───── loss 4.1726 lr 3.46e-03 |g| 0.084 416.70K tok/s + 840/1177 ━━━━━━━━━━━━━───── loss 4.1459 lr 3.34e-03 |g| 0.088 416.70K tok/s + 850/1177 ━━━━━━━━━━━━━───── loss 4.1160 lr 3.22e-03 |g| 0.070 416.70K tok/s + 860/1177 ━━━━━━━━━━━━━───── loss 4.1459 lr 3.10e-03 |g| 0.102 416.70K tok/s + 870/1177 ━━━━━━━━━━━━━───── loss 4.1267 lr 2.98e-03 |g| 0.086 416.70K tok/s + 880/1177 ━━━━━━━━━━━━━───── loss 4.1082 lr 2.87e-03 |g| 0.075 416.70K tok/s + 890/1177 ━━━━━━━━━━━━━━──── loss 4.0423 lr 2.76e-03 |g| 0.084 416.71K tok/s + 900/1177 ━━━━━━━━━━━━━━──── loss 4.1183 lr 2.65e-03 |g| 0.095 416.71K tok/s + 910/1177 ━━━━━━━━━━━━━━──── loss 4.1142 lr 2.55e-03 |g| 0.070 416.71K tok/s + 920/1177 ━━━━━━━━━━━━━━──── loss 4.0481 lr 2.44e-03 |g| 0.077 416.71K tok/s + 930/1177 ━━━━━━━━━━━━━━──── loss 4.0537 lr 2.35e-03 |g| 0.080 416.71K tok/s + 940/1177 ━━━━━━━━━━━━━━──── loss 4.1245 lr 2.25e-03 |g| 0.072 416.71K tok/s + 950/1177 ━━━━━━━━━━━━━━━─── loss 3.9990 lr 2.16e-03 |g| 0.075 416.71K tok/s + 960/1177 ━━━━━━━━━━━━━━━─── loss 4.0556 lr 2.07e-03 |g| 0.069 416.71K tok/s + 970/1177 ━━━━━━━━━━━━━━━─── loss 4.0278 lr 1.98e-03 |g| 0.082 416.71K tok/s + 980/1177 ━━━━━━━━━━━━━━━─── loss 4.0240 lr 1.90e-03 |g| 0.070 416.72K tok/s + 990/1177 ━━━━━━━━━━━━━━━─── loss 3.9970 lr 1.82e-03 |g| 0.077 416.72K tok/s + 1000/1177 ━━━━━━━━━━━━━━━─── loss 4.0145 lr 1.75e-03 |g| 0.078 416.72K tok/s + 1010/1177 ━━━━━━━━━━━━━━━─── loss 4.0027 lr 1.68e-03 |g| 0.066 416.72K tok/s + 1020/1177 ━━━━━━━━━━━━━━━━── loss 3.9859 lr 1.61e-03 |g| 0.074 416.72K tok/s + 1030/1177 ━━━━━━━━━━━━━━━━── loss 3.9123 lr 1.55e-03 |g| 0.071 416.72K tok/s + 1040/1177 ━━━━━━━━━━━━━━━━── loss 3.9462 lr 1.49e-03 |g| 0.068 416.72K tok/s + 1050/1177 ━━━━━━━━━━━━━━━━── loss 3.9307 lr 1.43e-03 |g| 0.069 416.72K tok/s + 1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9720 lr 1.38e-03 |g| 0.068 416.72K tok/s + 1070/1177 ━━━━━━━━━━━━━━━━── loss 3.9895 lr 1.33e-03 |g| 0.064 416.72K tok/s + 1080/1177 ━━━━━━━━━━━━━━━━━─ loss 4.0004 lr 1.29e-03 |g| 0.065 416.72K tok/s + 1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9342 lr 1.25e-03 |g| 0.074 416.72K tok/s + 1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9737 lr 1.22e-03 |g| 0.066 416.72K tok/s + 1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9268 lr 1.18e-03 |g| 0.067 416.72K tok/s + 1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9002 lr 1.16e-03 |g| 0.059 416.73K tok/s + 1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9042 lr 1.14e-03 |g| 0.070 416.73K tok/s + 1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9511 lr 1.12e-03 |g| 0.063 416.73K tok/s + 1150/1177 ━━━━━━━━━━━━━━━━━━ loss 4.0302 lr 1.10e-03 |g| 0.067 416.73K tok/s + 1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8920 lr 1.09e-03 |g| 0.063 416.73K tok/s + 1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9374 lr 1.09e-03 |g| 0.074 416.73K tok/s + 1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9455 lr 1.09e-03 |g| 0.066 416.73K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + 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index 0000000000000000000000000000000000000000..2f6a5e5bd852d6255d13c8f480015ef9b9ef7116 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stderr.log @@ -0,0 +1,173 @@ +E0819 13:55:27.615284 3631783 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:55:27.615501 3532184 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:55:27.616474 392761 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 13:55:27.620319 3584545 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 4a03491fb0eb │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,177 steps │ + │ train tokens 617.09M │ + │ traced FLOPs 846262.61T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 57.76s, eval in 23.49s; periodic validation disabled + 1/1177 ────────────────── loss 10.8878 lr 4.61e-05 |g| 2.551 338.65K tok/s + 10/1177 ────────────────── loss 9.5319 lr 4.61e-04 |g| 2.042 403.87K tok/s + 20/1177 ────────────────── loss 7.8546 lr 9.22e-04 |g| 1.157 410.45K tok/s + 30/1177 ────────────────── loss 7.5947 lr 1.38e-03 |g| 0.555 412.73K tok/s + 40/1177 ━───────────────── loss 7.6016 lr 1.84e-03 |g| 0.463 413.92K tok/s + 50/1177 ━───────────────── loss 7.4234 lr 2.31e-03 |g| 0.640 414.62K tok/s + 60/1177 ━───────────────── loss 7.3507 lr 2.77e-03 |g| 0.336 415.06K tok/s + 70/1177 ━───────────────── loss 7.2994 lr 3.23e-03 |g| 0.414 415.37K tok/s + 80/1177 ━───────────────── loss 7.2537 lr 3.69e-03 |g| 0.467 415.58K tok/s + 90/1177 ━───────────────── loss 7.0824 lr 4.15e-03 |g| 0.327 415.73K tok/s + 100/1177 ━━──────────────── loss 6.9305 lr 4.61e-03 |g| 0.472 415.84K tok/s + 110/1177 ━━──────────────── loss 6.7770 lr 5.07e-03 |g| 0.510 415.93K tok/s + 120/1177 ━━──────────────── loss 6.6925 lr 5.44e-03 |g| 0.457 416.00K tok/s + 130/1177 ━━──────────────── loss 6.5740 lr 5.44e-03 |g| 0.396 416.06K tok/s + 140/1177 ━━──────────────── loss 6.4429 lr 5.44e-03 |g| 0.458 416.11K tok/s + 150/1177 ━━──────────────── loss 6.3317 lr 5.43e-03 |g| 0.308 416.15K tok/s + 160/1177 ━━──────────────── loss 6.3037 lr 5.42e-03 |g| 0.576 416.19K tok/s + 170/1177 ━━━─────────────── loss 6.2005 lr 5.41e-03 |g| 0.306 416.22K tok/s + 180/1177 ━━━─────────────── loss 6.1879 lr 5.40e-03 |g| 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5.06e-03 |g| 0.240 416.48K tok/s + 320/1177 ━━━━━───────────── loss 5.3023 lr 5.02e-03 |g| 0.209 416.49K tok/s + 330/1177 ━━━━━───────────── loss 5.3853 lr 4.97e-03 |g| 0.245 416.50K tok/s + 340/1177 ━━━━━───────────── loss 5.3544 lr 4.93e-03 |g| 0.230 416.50K tok/s + 350/1177 ━━━━━───────────── loss 5.2054 lr 4.89e-03 |g| 0.249 416.51K tok/s + 360/1177 ━━━━━━──────────── loss 5.2044 lr 4.84e-03 |g| 0.221 416.52K tok/s + 370/1177 ━━━━━━──────────── loss 5.1283 lr 4.79e-03 |g| 0.146 416.53K tok/s + 380/1177 ━━━━━━──────────── loss 5.1408 lr 4.74e-03 |g| 0.218 416.53K tok/s + 390/1177 ━━━━━━──────────── loss 5.1229 lr 4.69e-03 |g| 0.141 416.54K tok/s + 400/1177 ━━━━━━──────────── loss 5.0512 lr 4.63e-03 |g| 0.162 416.55K tok/s + 410/1177 ━━━━━━──────────── loss 5.0586 lr 4.58e-03 |g| 0.169 416.55K tok/s + 420/1177 ━━━━━━──────────── loss 4.9881 lr 4.52e-03 |g| 0.222 416.56K tok/s + 430/1177 ━━━━━━━─────────── loss 4.9281 lr 4.47e-03 |g| 0.159 416.57K tok/s + 440/1177 ━━━━━━━─────────── loss 4.9485 lr 4.41e-03 |g| 0.160 416.57K tok/s + 450/1177 ━━━━━━━─────────── loss 4.9409 lr 4.35e-03 |g| 0.218 416.58K tok/s + 460/1177 ━━━━━━━─────────── loss 4.9136 lr 4.29e-03 |g| 0.157 416.58K tok/s + 470/1177 ━━━━━━━─────────── loss 4.9031 lr 4.22e-03 |g| 0.212 416.59K tok/s + 480/1177 ━━━━━━━─────────── loss 4.8747 lr 4.16e-03 |g| 0.153 416.59K tok/s + 490/1177 ━━━━━━━─────────── loss 4.8383 lr 4.10e-03 |g| 0.155 416.60K tok/s + 500/1177 ━━━━━━━━────────── loss 4.7242 lr 4.03e-03 |g| 0.154 416.60K tok/s + 510/1177 ━━━━━━━━────────── loss 4.7400 lr 3.97e-03 |g| 0.137 416.60K tok/s + 520/1177 ━━━━━━━━────────── loss 4.7768 lr 3.90e-03 |g| 0.190 416.61K tok/s + 530/1177 ━━━━━━━━────────── loss 4.6792 lr 3.83e-03 |g| 0.168 416.61K tok/s + 540/1177 ━━━━━━━━────────── loss 4.6247 lr 3.76e-03 |g| 0.143 416.61K tok/s + 550/1177 ━━━━━━━━────────── loss 4.6894 lr 3.69e-03 |g| 0.188 416.62K tok/s + 560/1177 ━━━━━━━━━───────── loss 4.6311 lr 3.62e-03 |g| 0.119 416.62K tok/s + 570/1177 ━━━━━━━━━───────── loss 4.6175 lr 3.55e-03 |g| 0.135 416.62K tok/s + 580/1177 ━━━━━━━━━───────── loss 4.5776 lr 3.48e-03 |g| 0.154 416.62K tok/s + 590/1177 ━━━━━━━━━───────── loss 4.5541 lr 3.41e-03 |g| 0.140 416.63K tok/s + 600/1177 ━━━━━━━━━───────── loss 4.5776 lr 3.34e-03 |g| 0.173 416.63K tok/s + 610/1177 ━━━━━━━━━───────── loss 4.4775 lr 3.27e-03 |g| 0.160 416.63K tok/s + 620/1177 ━━━━━━━━━───────── loss 4.4583 lr 3.19e-03 |g| 0.129 416.64K tok/s + 630/1177 ━━━━━━━━━━──────── loss 4.4361 lr 3.12e-03 |g| 0.149 416.64K tok/s + 640/1177 ━━━━━━━━━━──────── loss 4.4582 lr 3.05e-03 |g| 0.131 416.64K tok/s + 650/1177 ━━━━━━━━━━──────── loss 4.4220 lr 2.98e-03 |g| 0.142 416.64K tok/s + 660/1177 ━━━━━━━━━━──────── loss 4.4119 lr 2.90e-03 |g| 0.149 416.65K tok/s + 670/1177 ━━━━━━━━━━──────── loss 4.4001 lr 2.83e-03 |g| 0.136 416.65K tok/s + 680/1177 ━━━━━━━━━━──────── loss 4.4407 lr 2.76e-03 |g| 0.182 416.65K tok/s + 690/1177 ━━━━━━━━━━━─────── loss 4.3512 lr 2.69e-03 |g| 0.121 416.65K tok/s + 700/1177 ━━━━━━━━━━━─────── loss 4.3676 lr 2.61e-03 |g| 0.133 416.65K tok/s + 710/1177 ━━━━━━━━━━━─────── loss 4.3051 lr 2.54e-03 |g| 0.150 416.66K tok/s + 720/1177 ━━━━━━━━━━━─────── loss 4.3244 lr 2.47e-03 |g| 0.142 416.66K tok/s + 730/1177 ━━━━━━━━━━━─────── loss 4.3428 lr 2.40e-03 |g| 0.165 416.66K tok/s + 740/1177 ━━━━━━━━━━━─────── loss 4.2741 lr 2.33e-03 |g| 0.154 416.66K tok/s + 750/1177 ━━━━━━━━━━━─────── loss 4.2800 lr 2.26e-03 |g| 0.116 416.66K tok/s + 760/1177 ━━━━━━━━━━━━────── loss 4.2107 lr 2.19e-03 |g| 0.133 416.66K tok/s + 770/1177 ━━━━━━━━━━━━────── loss 4.2130 lr 2.12e-03 |g| 0.136 416.67K tok/s + 780/1177 ━━━━━━━━━━━━────── loss 4.2418 lr 2.06e-03 |g| 0.119 416.67K tok/s + 790/1177 ━━━━━━━━━━━━────── loss 4.2156 lr 1.99e-03 |g| 0.125 416.67K tok/s + 800/1177 ━━━━━━━━━━━━────── loss 4.1997 lr 1.92e-03 |g| 0.167 416.67K tok/s + 810/1177 ━━━━━━━━━━━━────── loss 4.1953 lr 1.86e-03 |g| 0.125 416.67K tok/s + 820/1177 ━━━━━━━━━━━━━───── loss 4.1808 lr 1.79e-03 |g| 0.149 416.67K tok/s + 830/1177 ━━━━━━━━━━━━━───── loss 4.1743 lr 1.73e-03 |g| 0.101 416.68K tok/s + 840/1177 ━━━━━━━━━━━━━───── loss 4.1483 lr 1.67e-03 |g| 0.133 416.68K tok/s + 850/1177 ━━━━━━━━━━━━━───── loss 4.1266 lr 1.61e-03 |g| 0.121 416.68K tok/s + 860/1177 ━━━━━━━━━━━━━───── loss 4.1494 lr 1.55e-03 |g| 0.120 416.68K tok/s + 870/1177 ━━━━━━━━━━━━━───── loss 4.1321 lr 1.49e-03 |g| 0.116 416.68K tok/s + 880/1177 ━━━━━━━━━━━━━───── loss 4.1166 lr 1.43e-03 |g| 0.119 416.68K tok/s + 890/1177 ━━━━━━━━━━━━━━──── loss 4.0469 lr 1.38e-03 |g| 0.119 416.69K tok/s + 900/1177 ━━━━━━━━━━━━━━──── loss 4.1242 lr 1.33e-03 |g| 0.120 416.69K tok/s + 910/1177 ━━━━━━━━━━━━━━──── loss 4.1245 lr 1.27e-03 |g| 0.100 416.69K tok/s + 920/1177 ━━━━━━━━━━━━━━──── loss 4.0618 lr 1.22e-03 |g| 0.121 416.69K tok/s + 930/1177 ━━━━━━━━━━━━━━──── loss 4.0673 lr 1.17e-03 |g| 0.105 416.69K tok/s + 940/1177 ━━━━━━━━━━━━━━──── loss 4.1380 lr 1.13e-03 |g| 0.110 416.69K tok/s + 950/1177 ━━━━━━━━━━━━━━━─── loss 4.0162 lr 1.08e-03 |g| 0.114 416.69K tok/s + 960/1177 ━━━━━━━━━━━━━━━─── loss 4.0707 lr 1.03e-03 |g| 0.096 416.69K tok/s + 970/1177 ━━━━━━━━━━━━━━━─── loss 4.0436 lr 9.92e-04 |g| 0.103 416.70K tok/s + 980/1177 ━━━━━━━━━━━━━━━─── loss 4.0408 lr 9.51e-04 |g| 0.096 416.70K tok/s + 990/1177 ━━━━━━━━━━━━━━━─── loss 4.0121 lr 9.12e-04 |g| 0.097 416.70K tok/s + 1000/1177 ━━━━━━━━━━━━━━━─── loss 4.0351 lr 8.74e-04 |g| 0.108 416.70K tok/s + 1010/1177 ━━━━━━━━━━━━━━━─── loss 4.0207 lr 8.39e-04 |g| 0.102 416.70K tok/s + 1020/1177 ━━━━━━━━━━━━━━━━── loss 4.0060 lr 8.05e-04 |g| 0.091 416.70K tok/s + 1030/1177 ━━━━━━━━━━━━━━━━── loss 3.9314 lr 7.73e-04 |g| 0.105 416.70K tok/s + 1040/1177 ━━━━━━━━━━━━━━━━── loss 3.9681 lr 7.44e-04 |g| 0.101 416.70K tok/s + 1050/1177 ━━━━━━━━━━━━━━━━── loss 3.9539 lr 7.16e-04 |g| 0.097 416.70K tok/s + 1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9928 lr 6.90e-04 |g| 0.095 416.70K tok/s + 1070/1177 ━━━━━━━━━━━━━━━━── loss 4.0104 lr 6.67e-04 |g| 0.094 416.70K tok/s + 1080/1177 ━━━━━━━━━━━━━━━━━─ loss 4.0216 lr 6.45e-04 |g| 0.093 416.70K tok/s + 1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9554 lr 6.25e-04 |g| 0.099 416.70K tok/s + 1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9979 lr 6.08e-04 |g| 0.099 416.71K tok/s + 1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9525 lr 5.92e-04 |g| 0.105 416.71K tok/s + 1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9253 lr 5.79e-04 |g| 0.093 416.71K tok/s + 1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9266 lr 5.68e-04 |g| 0.100 416.71K tok/s + 1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9747 lr 5.59e-04 |g| 0.096 416.71K tok/s + 1150/1177 ━━━━━━━━━━━━━━━━━━ loss 4.0545 lr 5.52e-04 |g| 0.115 416.71K tok/s + 1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9172 lr 5.47e-04 |g| 0.097 416.71K tok/s + 1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9637 lr 5.45e-04 |g| 0.105 416.71K tok/s + 1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9722 lr 5.44e-04 |g| 0.111 416.71K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 1480.866s (compilation excluded) + validation loss 3.9533 in 3.261s + diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stdout.log b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..8be9878b46070616dc0960951fbdd04d4f6d56ad --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stdout.log @@ -0,0 +1 @@ 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index 0000000000000000000000000000000000000000..5b9325eaa068a934913838cc0bcd0872b2da7bb1 --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stderr.log @@ -0,0 +1,173 @@ +E0819 14:51:40.804236 3628501 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:51:40.804418 3676249 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:51:40.806109 441927 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 14:51:40.808345 3576354 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │ + │ parameters 241.63M │ + │ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 4a03491fb0eb │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,177 steps │ + │ train tokens 617.09M │ + │ traced FLOPs 846262.61T │ + │ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 64.97s, eval in 23.03s; periodic validation disabled + 1/1177 ────────────────── loss 10.8878 lr 2.31e-05 |g| 2.551 383.09K tok/s + 10/1177 ────────────────── loss 9.9191 lr 2.31e-04 |g| 2.061 408.12K tok/s + 20/1177 ────────────────── loss 8.6661 lr 4.61e-04 |g| 1.946 412.53K tok/s + 30/1177 ────────────────── loss 7.6044 lr 6.92e-04 |g| 0.715 414.02K tok/s + 40/1177 ━───────────────── loss 7.4234 lr 9.22e-04 |g| 0.464 414.77K tok/s + 50/1177 ━───────────────── loss 7.1989 lr 1.15e-03 |g| 0.634 415.20K tok/s + 60/1177 ━───────────────── loss 7.0122 lr 1.38e-03 |g| 1.681 415.49K tok/s + 70/1177 ━───────────────── loss 6.8700 lr 1.61e-03 |g| 1.044 415.68K tok/s + 80/1177 ━───────────────── loss 6.6715 lr 1.84e-03 |g| 0.338 415.81K tok/s + 90/1177 ━───────────────── loss 6.7620 lr 2.08e-03 |g| 0.909 415.92K tok/s + 100/1177 ━━──────────────── loss 6.5768 lr 2.31e-03 |g| 0.522 416.02K tok/s + 110/1177 ━━──────────────── loss 6.4230 lr 2.54e-03 |g| 0.568 416.09K tok/s + 120/1177 ━━──────────────── loss 6.4201 lr 2.72e-03 |g| 0.771 416.15K tok/s + 130/1177 ━━──────────────── loss 6.3489 lr 2.72e-03 |g| 0.551 416.20K tok/s + 140/1177 ━━──────────────── loss 6.1487 lr 2.72e-03 |g| 0.255 416.24K tok/s + 150/1177 ━━──────────────── loss 6.0479 lr 2.72e-03 |g| 0.503 416.28K tok/s + 160/1177 ━━──────────────── loss 6.0287 lr 2.71e-03 |g| 0.532 416.31K tok/s + 170/1177 ━━━─────────────── loss 5.8952 lr 2.71e-03 |g| 0.261 416.34K tok/s + 180/1177 ━━━─────────────── loss 5.8274 lr 2.70e-03 |g| 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2.53e-03 |g| 0.222 416.55K tok/s + 320/1177 ━━━━━───────────── loss 5.0117 lr 2.51e-03 |g| 0.221 416.55K tok/s + 330/1177 ━━━━━───────────── loss 5.1402 lr 2.49e-03 |g| 0.393 416.56K tok/s + 340/1177 ━━━━━───────────── loss 5.0812 lr 2.47e-03 |g| 0.307 416.57K tok/s + 350/1177 ━━━━━───────────── loss 4.9324 lr 2.44e-03 |g| 0.317 416.58K tok/s + 360/1177 ━━━━━━──────────── loss 4.9604 lr 2.42e-03 |g| 0.351 416.58K tok/s + 370/1177 ━━━━━━──────────── loss 4.8931 lr 2.39e-03 |g| 0.257 416.59K tok/s + 380/1177 ━━━━━━──────────── loss 4.9143 lr 2.37e-03 |g| 0.380 416.59K tok/s + 390/1177 ━━━━━━──────────── loss 4.9102 lr 2.34e-03 |g| 0.402 416.60K tok/s + 400/1177 ━━━━━━──────────── loss 4.8115 lr 2.32e-03 |g| 0.244 416.60K tok/s + 410/1177 ━━━━━━──────────── loss 4.8285 lr 2.29e-03 |g| 0.227 416.61K tok/s + 420/1177 ━━━━━━──────────── loss 4.7587 lr 2.26e-03 |g| 0.253 416.61K tok/s + 430/1177 ━━━━━━━─────────── loss 4.7274 lr 2.23e-03 |g| 0.353 416.62K tok/s + 440/1177 ━━━━━━━─────────── loss 4.7315 lr 2.20e-03 |g| 0.245 416.62K tok/s + 450/1177 ━━━━━━━─────────── loss 4.7361 lr 2.17e-03 |g| 0.289 416.63K tok/s + 460/1177 ━━━━━━━─────────── loss 4.7015 lr 2.14e-03 |g| 0.226 416.63K tok/s + 470/1177 ━━━━━━━─────────── loss 4.6907 lr 2.11e-03 |g| 0.282 416.64K tok/s + 480/1177 ━━━━━━━─────────── loss 4.6704 lr 2.08e-03 |g| 0.204 416.64K tok/s + 490/1177 ━━━━━━━─────────── loss 4.6409 lr 2.05e-03 |g| 0.260 416.64K tok/s + 500/1177 ━━━━━━━━────────── loss 4.5364 lr 2.02e-03 |g| 0.243 416.64K tok/s + 510/1177 ━━━━━━━━────────── loss 4.5566 lr 1.98e-03 |g| 0.228 416.65K tok/s + 520/1177 ━━━━━━━━────────── loss 4.5966 lr 1.95e-03 |g| 0.240 416.65K tok/s + 530/1177 ━━━━━━━━────────── loss 4.4976 lr 1.92e-03 |g| 0.170 416.65K tok/s + 540/1177 ━━━━━━━━────────── loss 4.4752 lr 1.88e-03 |g| 0.234 416.65K tok/s + 550/1177 ━━━━━━━━────────── loss 4.5181 lr 1.85e-03 |g| 0.276 416.66K tok/s + 560/1177 ━━━━━━━━━───────── loss 4.4918 lr 1.81e-03 |g| 0.244 416.66K tok/s + 570/1177 ━━━━━━━━━───────── loss 4.4761 lr 1.78e-03 |g| 0.196 416.66K tok/s + 580/1177 ━━━━━━━━━───────── loss 4.4696 lr 1.74e-03 |g| 0.335 416.67K tok/s + 590/1177 ━━━━━━━━━───────── loss 4.4265 lr 1.70e-03 |g| 0.206 416.67K tok/s + 600/1177 ━━━━━━━━━───────── loss 4.4452 lr 1.67e-03 |g| 0.202 416.67K tok/s + 610/1177 ━━━━━━━━━───────── loss 4.3528 lr 1.63e-03 |g| 0.260 416.67K tok/s + 620/1177 ━━━━━━━━━───────── loss 4.3322 lr 1.60e-03 |g| 0.193 416.67K tok/s + 630/1177 ━━━━━━━━━━──────── loss 4.3086 lr 1.56e-03 |g| 0.185 416.67K tok/s + 640/1177 ━━━━━━━━━━──────── loss 4.3435 lr 1.52e-03 |g| 0.217 416.68K tok/s + 650/1177 ━━━━━━━━━━──────── loss 4.3115 lr 1.49e-03 |g| 0.256 416.68K tok/s + 660/1177 ━━━━━━━━━━──────── loss 4.2920 lr 1.45e-03 |g| 0.246 416.68K tok/s + 670/1177 ━━━━━━━━━━──────── loss 4.2754 lr 1.42e-03 |g| 0.166 416.68K tok/s + 680/1177 ━━━━━━━━━━──────── loss 4.3162 lr 1.38e-03 |g| 0.187 416.68K tok/s + 690/1177 ━━━━━━━━━━━─────── loss 4.2402 lr 1.34e-03 |g| 0.172 416.68K tok/s + 700/1177 ━━━━━━━━━━━─────── loss 4.2576 lr 1.31e-03 |g| 0.196 416.68K tok/s + 710/1177 ━━━━━━━━━━━─────── loss 4.1906 lr 1.27e-03 |g| 0.188 416.69K tok/s + 720/1177 ━━━━━━━━━━━─────── loss 4.2125 lr 1.24e-03 |g| 0.173 416.69K tok/s + 730/1177 ━━━━━━━━━━━─────── loss 4.2375 lr 1.20e-03 |g| 0.191 416.69K tok/s + 740/1177 ━━━━━━━━━━━─────── loss 4.1555 lr 1.16e-03 |g| 0.184 416.69K tok/s + 750/1177 ━━━━━━━━━━━─────── loss 4.1730 lr 1.13e-03 |g| 0.166 416.69K tok/s + 760/1177 ━━━━━━━━━━━━────── loss 4.1054 lr 1.10e-03 |g| 0.204 416.69K tok/s + 770/1177 ━━━━━━━━━━━━────── loss 4.1084 lr 1.06e-03 |g| 0.196 416.69K tok/s + 780/1177 ━━━━━━━━━━━━────── loss 4.1384 lr 1.03e-03 |g| 0.176 416.70K tok/s + 790/1177 ━━━━━━━━━━━━────── loss 4.1143 lr 9.94e-04 |g| 0.180 416.70K tok/s + 800/1177 ━━━━━━━━━━━━────── loss 4.0893 lr 9.61e-04 |g| 0.150 416.70K tok/s + 810/1177 ━━━━━━━━━━━━────── loss 4.0917 lr 9.29e-04 |g| 0.183 416.70K tok/s + 820/1177 ━━━━━━━━━━━━━───── loss 4.0787 lr 8.97e-04 |g| 0.174 416.70K tok/s + 830/1177 ━━━━━━━━━━━━━───── loss 4.0812 lr 8.66e-04 |g| 0.160 416.70K tok/s + 840/1177 ━━━━━━━━━━━━━───── loss 4.0497 lr 8.35e-04 |g| 0.170 416.70K tok/s + 850/1177 ━━━━━━━━━━━━━───── loss 4.0274 lr 8.05e-04 |g| 0.174 416.70K tok/s + 860/1177 ━━━━━━━━━━━━━───── loss 4.0527 lr 7.75e-04 |g| 0.149 416.71K tok/s + 870/1177 ━━━━━━━━━━━━━───── loss 4.0392 lr 7.46e-04 |g| 0.166 416.71K tok/s + 880/1177 ━━━━━━━━━━━━━───── loss 4.0238 lr 7.17e-04 |g| 0.152 416.71K tok/s + 890/1177 ━━━━━━━━━━━━━━──── loss 3.9576 lr 6.90e-04 |g| 0.181 416.71K tok/s + 900/1177 ━━━━━━━━━━━━━━──── loss 4.0324 lr 6.63e-04 |g| 0.154 416.71K tok/s + 910/1177 ━━━━━━━━━━━━━━──── loss 4.0361 lr 6.37e-04 |g| 0.150 416.71K tok/s + 920/1177 ━━━━━━━━━━━━━━──── loss 3.9714 lr 6.11e-04 |g| 0.132 416.71K tok/s + 930/1177 ━━━━━━━━━━━━━━──── loss 3.9788 lr 5.86e-04 |g| 0.148 416.71K tok/s + 940/1177 ━━━━━━━━━━━━━━──── loss 4.0510 lr 5.63e-04 |g| 0.143 416.71K tok/s + 950/1177 ━━━━━━━━━━━━━━━─── loss 3.9274 lr 5.39e-04 |g| 0.159 416.71K tok/s + 960/1177 ━━━━━━━━━━━━━━━─── loss 3.9896 lr 5.17e-04 |g| 0.145 416.72K tok/s + 970/1177 ━━━━━━━━━━━━━━━─── loss 3.9605 lr 4.96e-04 |g| 0.141 416.72K tok/s + 980/1177 ━━━━━━━━━━━━━━━─── loss 3.9602 lr 4.75e-04 |g| 0.147 416.72K tok/s + 990/1177 ━━━━━━━━━━━━━━━─── loss 3.9284 lr 4.56e-04 |g| 0.136 416.72K tok/s + 1000/1177 ━━━━━━━━━━━━━━━─── loss 3.9549 lr 4.37e-04 |g| 0.167 416.72K tok/s + 1010/1177 ━━━━━━━━━━━━━━━─── loss 3.9407 lr 4.19e-04 |g| 0.139 416.72K tok/s + 1020/1177 ━━━━━━━━━━━━━━━━── loss 3.9304 lr 4.03e-04 |g| 0.138 416.72K tok/s + 1030/1177 ━━━━━━━━━━━━━━━━── loss 3.8554 lr 3.87e-04 |g| 0.150 416.72K tok/s + 1040/1177 ━━━━━━━━━━━━━━━━── loss 3.8912 lr 3.72e-04 |g| 0.137 416.72K tok/s + 1050/1177 ━━━━━━━━━━━━━━━━── loss 3.8740 lr 3.58e-04 |g| 0.137 416.72K tok/s + 1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9167 lr 3.45e-04 |g| 0.133 416.72K tok/s + 1070/1177 ━━━━━━━━━━━━━━━━── loss 3.9334 lr 3.33e-04 |g| 0.131 416.72K tok/s + 1080/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9488 lr 3.22e-04 |g| 0.134 416.72K tok/s + 1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8832 lr 3.13e-04 |g| 0.137 416.72K tok/s + 1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9231 lr 3.04e-04 |g| 0.128 416.73K tok/s + 1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8785 lr 2.96e-04 |g| 0.136 416.73K tok/s + 1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8529 lr 2.90e-04 |g| 0.133 416.73K tok/s + 1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8596 lr 2.84e-04 |g| 0.139 416.73K tok/s + 1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9028 lr 2.80e-04 |g| 0.131 416.73K tok/s + 1150/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9847 lr 2.76e-04 |g| 0.153 416.73K tok/s + 1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8442 lr 2.74e-04 |g| 0.134 416.73K tok/s + 1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8942 lr 2.72e-04 |g| 0.136 416.73K tok/s + 1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9041 lr 2.72e-04 |g| 0.142 416.73K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 1480.811s (compilation excluded) + validation loss 3.8838 in 3.277s + diff --git a/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stdout.log b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..737068e7c99c7b787046fff59a30c000318e9f8f --- /dev/null +++ b/batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stdout.log @@ -0,0 +1 @@ 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"device_ids": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..13208a21be1e45d9c042236bc6491af5473ba1df --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stderr.log @@ -0,0 +1,170 @@ +E0819 08:19:57.000563 3222687 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:19:57.000899 3275435 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:19:57.001682 3320868 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:19:57.004682 43173 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 30.75s, eval in 7.54s; periodic validation disabled + 1/1143 ────────────────── loss 10.9059 lr 9.69e-05 |g| 3.578 1.06M tok/s + 10/1143 ────────────────── loss 8.8411 lr 9.69e-04 |g| 1.531 1.36M tok/s + 20/1143 ────────────────── loss 7.7440 lr 1.94e-03 |g| 0.993 1.43M tok/s + 30/1143 ────────────────── loss 7.5405 lr 2.91e-03 |g| 0.301 1.45M tok/s + 40/1143 ━───────────────── loss 7.4743 lr 3.88e-03 |g| 0.474 1.46M tok/s + 50/1143 ━───────────────── loss 7.2820 lr 4.85e-03 |g| 0.289 1.47M tok/s + 60/1143 ━───────────────── loss 7.1599 lr 5.82e-03 |g| 0.322 1.48M tok/s + 70/1143 ━───────────────── loss 7.1322 lr 6.78e-03 |g| 0.396 1.48M tok/s + 80/1143 ━───────────────── loss 7.0951 lr 7.75e-03 |g| 0.533 1.48M tok/s + 90/1143 ━───────────────── loss 7.0788 lr 8.72e-03 |g| 0.263 1.48M tok/s + 100/1143 ━━──────────────── loss 6.8993 lr 9.69e-03 |g| 0.406 1.49M tok/s + 110/1143 ━━──────────────── loss 6.8527 lr 1.07e-02 |g| 0.337 1.49M tok/s + 120/1143 ━━──────────────── loss 6.7805 lr 1.10e-02 |g| 0.282 1.49M tok/s + 130/1143 ━━──────────────── loss 6.8102 lr 1.10e-02 |g| 0.377 1.49M tok/s + 140/1143 ━━──────────────── loss 6.6232 lr 1.10e-02 |g| 0.285 1.49M tok/s + 150/1143 ━━──────────────── loss 6.5054 lr 1.10e-02 |g| 0.342 1.49M tok/s + 160/1143 ━━━─────────────── loss 6.5052 lr 1.10e-02 |g| 0.332 1.49M tok/s + 170/1143 ━━━─────────────── loss 6.4012 lr 1.10e-02 |g| 0.306 1.49M tok/s + 180/1143 ━━━─────────────── loss 6.3490 lr 1.09e-02 |g| 0.235 1.49M tok/s + 190/1143 ━━━─────────────── loss 6.2472 lr 1.09e-02 |g| 0.268 1.49M tok/s + 200/1143 ━━━─────────────── loss 6.2365 lr 1.09e-02 |g| 0.182 1.49M tok/s + 210/1143 ━━━─────────────── loss 6.1598 lr 1.08e-02 |g| 0.221 1.49M tok/s + 220/1143 ━━━─────────────── loss 6.1108 lr 1.08e-02 |g| 0.119 1.49M tok/s + 230/1143 ━━━━────────────── loss 6.1300 lr 1.07e-02 |g| 0.151 1.49M tok/s + 240/1143 ━━━━────────────── loss 6.1268 lr 1.07e-02 |g| 0.202 1.49M tok/s + 250/1143 ━━━━────────────── loss 5.8976 lr 1.06e-02 |g| 0.121 1.49M tok/s + 260/1143 ━━━━────────────── loss 5.9578 lr 1.06e-02 |g| 0.189 1.50M tok/s + 270/1143 ━━━━────────────── loss 5.8510 lr 1.05e-02 |g| 0.115 1.50M tok/s + 280/1143 ━━━━────────────── loss 5.8138 lr 1.04e-02 |g| 0.207 1.50M tok/s + 290/1143 ━━━━━───────────── loss 5.7899 lr 1.03e-02 |g| 0.138 1.50M tok/s + 300/1143 ━━━━━───────────── loss 5.7136 lr 1.03e-02 |g| 0.114 1.50M tok/s + 310/1143 ━━━━━───────────── loss 5.7685 lr 1.02e-02 |g| 0.354 1.50M tok/s + 320/1143 ━━━━━───────────── loss 5.6356 lr 1.01e-02 |g| 0.115 1.50M tok/s + 330/1143 ━━━━━───────────── loss 5.6095 lr 1.00e-02 |g| 0.192 1.50M tok/s + 340/1143 ━━━━━───────────── loss 5.5871 lr 9.91e-03 |g| 0.124 1.50M tok/s + 350/1143 ━━━━━━──────────── loss 5.5492 lr 9.81e-03 |g| 0.128 1.50M tok/s + 360/1143 ━━━━━━──────────── loss 5.5789 lr 9.71e-03 |g| 0.142 1.50M tok/s + 370/1143 ━━━━━━──────────── loss 5.5702 lr 9.61e-03 |g| 0.167 1.50M tok/s + 380/1143 ━━━━━━──────────── loss 5.5152 lr 9.50e-03 |g| 0.139 1.50M tok/s + 390/1143 ━━━━━━──────────── loss 5.4641 lr 9.39e-03 |g| 0.151 1.50M tok/s + 400/1143 ━━━━━━──────────── loss 5.5391 lr 9.27e-03 |g| 0.142 1.50M tok/s + 410/1143 ━━━━━━──────────── loss 5.4116 lr 9.15e-03 |g| 0.147 1.50M tok/s + 420/1143 ━━━━━━━─────────── loss 5.3795 lr 9.03e-03 |g| 0.109 1.50M tok/s + 430/1143 ━━━━━━━─────────── loss 5.4000 lr 8.91e-03 |g| 0.149 1.50M tok/s + 440/1143 ━━━━━━━─────────── loss 5.3829 lr 8.78e-03 |g| 0.160 1.50M tok/s + 450/1143 ━━━━━━━─────────── loss 5.2197 lr 8.65e-03 |g| 0.160 1.50M tok/s + 460/1143 ━━━━━━━─────────── loss 5.2791 lr 8.52e-03 |g| 0.135 1.50M tok/s + 470/1143 ━━━━━━━─────────── loss 5.2249 lr 8.39e-03 |g| 0.137 1.50M tok/s + 480/1143 ━━━━━━━━────────── loss 5.2072 lr 8.25e-03 |g| 0.096 1.50M tok/s + 490/1143 ━━━━━━━━────────── loss 5.2088 lr 8.12e-03 |g| 0.128 1.50M tok/s + 500/1143 ━━━━━━━━────────── loss 5.1754 lr 7.98e-03 |g| 0.109 1.50M tok/s + 510/1143 ━━━━━━━━────────── loss 5.1334 lr 7.84e-03 |g| 0.242 1.50M tok/s + 520/1143 ━━━━━━━━────────── loss 5.0425 lr 7.69e-03 |g| 0.113 1.50M tok/s + 530/1143 ━━━━━━━━────────── loss 5.1481 lr 7.55e-03 |g| 0.142 1.50M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.0730 lr 7.40e-03 |g| 0.194 1.50M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.0773 lr 7.26e-03 |g| 0.135 1.50M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.0073 lr 7.11e-03 |g| 0.160 1.50M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.0710 lr 6.96e-03 |g| 0.119 1.50M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.0818 lr 6.81e-03 |g| 0.168 1.50M tok/s + 590/1143 ━━━━━━━━━───────── loss 4.9868 lr 6.66e-03 |g| 0.152 1.50M tok/s + 600/1143 ━━━━━━━━━───────── loss 4.8760 lr 6.51e-03 |g| 0.105 1.50M tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.9449 lr 6.36e-03 |g| 0.099 1.50M tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.8350 lr 6.21e-03 |g| 0.153 1.50M tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.8031 lr 6.05e-03 |g| 0.084 1.50M tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.8123 lr 5.90e-03 |g| 0.129 1.50M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.8042 lr 5.75e-03 |g| 0.107 1.50M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.8595 lr 5.60e-03 |g| 0.126 1.50M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.7551 lr 5.45e-03 |g| 0.085 1.50M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.8194 lr 5.30e-03 |g| 0.112 1.50M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.7174 lr 5.15e-03 |g| 0.100 1.50M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.6933 lr 5.00e-03 |g| 0.105 1.50M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6724 lr 4.85e-03 |g| 0.119 1.50M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6769 lr 4.71e-03 |g| 0.111 1.50M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.7166 lr 4.56e-03 |g| 0.120 1.50M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5820 lr 4.42e-03 |g| 0.105 1.50M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.6397 lr 4.27e-03 |g| 0.115 1.50M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5721 lr 4.13e-03 |g| 0.119 1.50M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.5763 lr 4.00e-03 |g| 0.104 1.50M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.6139 lr 3.86e-03 |g| 0.096 1.50M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.6037 lr 3.72e-03 |g| 0.103 1.50M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.5456 lr 3.59e-03 |g| 0.094 1.50M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.5101 lr 3.46e-03 |g| 0.104 1.50M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.5728 lr 3.33e-03 |g| 0.097 1.50M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5899 lr 3.21e-03 |g| 0.117 1.50M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.4653 lr 3.08e-03 |g| 0.086 1.50M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.5004 lr 2.96e-03 |g| 0.110 1.50M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.4276 lr 2.85e-03 |g| 0.087 1.50M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.5013 lr 2.73e-03 |g| 0.086 1.50M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.4705 lr 2.62e-03 |g| 0.092 1.50M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.6079 lr 2.52e-03 |g| 0.077 1.50M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4843 lr 2.41e-03 |g| 0.087 1.50M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.5181 lr 2.31e-03 |g| 0.088 1.50M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4711 lr 2.21e-03 |g| 0.091 1.50M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4903 lr 2.12e-03 |g| 0.084 1.50M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.4484 lr 2.03e-03 |g| 0.086 1.50M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3765 lr 1.94e-03 |g| 0.079 1.50M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4927 lr 1.86e-03 |g| 0.089 1.50M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3831 lr 1.78e-03 |g| 0.080 1.50M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.4462 lr 1.71e-03 |g| 0.088 1.50M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.4443 lr 1.64e-03 |g| 0.076 1.50M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3446 lr 1.57e-03 |g| 0.067 1.50M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4441 lr 1.51e-03 |g| 0.083 1.50M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.3642 lr 1.45e-03 |g| 0.073 1.50M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3775 lr 1.40e-03 |g| 0.070 1.50M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.4050 lr 1.35e-03 |g| 0.082 1.50M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3567 lr 1.30e-03 |g| 0.082 1.50M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3461 lr 1.26e-03 |g| 0.075 1.50M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3595 lr 1.23e-03 |g| 0.082 1.50M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3248 lr 1.20e-03 |g| 0.073 1.50M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3748 lr 1.17e-03 |g| 0.089 1.50M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4048 lr 1.15e-03 |g| 0.081 1.50M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3058 lr 1.13e-03 |g| 0.076 1.50M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3563 lr 1.12e-03 |g| 0.070 1.50M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2527 lr 1.11e-03 |g| 0.080 1.50M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3288 lr 1.11e-03 |g| 0.075 1.50M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3668 lr 1.10e-03 |g| 0.079 1.50M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 199.837s (compilation excluded) + validation loss 4.3400 in 0.499s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..8d2864c921c17d513544a72e2628b3c21b8ffb39 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stdout.log @@ -0,0 +1 @@ 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11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..3e5a4079ff9d2b18c9681645816e34f4b5cc5588 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 08:25:22.845260 3326411 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:25:22.845605 3228165 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:25:22.846012 3281011 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:25:22.846847 49535 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 30.55s, eval in 7.54s; periodic validation disabled + 1/1143 ────────────────── loss 10.8844 lr 9.69e-05 |g| 3.366 1.14M tok/s + 10/1143 ────────────────── loss 8.8288 lr 9.69e-04 |g| 1.524 744.94K tok/s + 20/1143 ────────────────── loss 7.7680 lr 1.94e-03 |g| 0.406 995.80K tok/s + 30/1143 ────────────────── loss 7.7534 lr 2.91e-03 |g| 0.192 1.12M tok/s + 40/1143 ━───────────────── loss 7.7747 lr 3.88e-03 |g| 0.147 1.20M tok/s + 50/1143 ━───────────────── loss 7.7732 lr 4.85e-03 |g| 0.368 1.25M tok/s + 60/1143 ━───────────────── loss 7.7344 lr 5.82e-03 |g| 0.282 1.28M tok/s + 70/1143 ━───────────────── loss 7.7518 lr 6.78e-03 |g| 0.925 1.31M tok/s + 80/1143 ━───────────────── loss 7.6146 lr 7.75e-03 |g| 0.345 1.33M tok/s + 90/1143 ━───────────────── loss 7.7331 lr 8.72e-03 |g| 0.548 1.35M tok/s + 100/1143 ━━──────────────── loss 7.5717 lr 9.69e-03 |g| 0.275 1.36M tok/s + 110/1143 ━━──────────────── loss 7.4841 lr 1.07e-02 |g| 0.181 1.37M tok/s + 120/1143 ━━──────────────── loss 7.3940 lr 1.10e-02 |g| 0.326 1.38M tok/s + 130/1143 ━━──────────────── loss 7.4480 lr 1.10e-02 |g| 0.556 1.39M tok/s + 140/1143 ━━──────────────── loss 7.2338 lr 1.10e-02 |g| 0.152 1.40M tok/s + 150/1143 ━━──────────────── loss 7.1782 lr 1.10e-02 |g| 0.174 1.41M tok/s + 160/1143 ━━━─────────────── loss 7.0259 lr 1.10e-02 |g| 0.299 1.41M tok/s + 170/1143 ━━━─────────────── loss 6.9049 lr 1.10e-02 |g| 0.088 1.42M tok/s + 180/1143 ━━━─────────────── loss 6.8251 lr 1.09e-02 |g| 0.166 1.42M tok/s + 190/1143 ━━━─────────────── loss 6.7954 lr 1.09e-02 |g| 0.216 1.43M tok/s + 200/1143 ━━━─────────────── loss 6.6060 lr 1.09e-02 |g| 0.316 1.43M tok/s + 210/1143 ━━━─────────────── loss 6.5274 lr 1.08e-02 |g| 0.101 1.43M tok/s + 220/1143 ━━━─────────────── loss 6.5373 lr 1.08e-02 |g| 0.239 1.44M tok/s + 230/1143 ━━━━────────────── loss 6.4114 lr 1.07e-02 |g| 0.085 1.44M tok/s + 240/1143 ━━━━────────────── loss 6.3764 lr 1.07e-02 |g| 0.194 1.44M tok/s + 250/1143 ━━━━────────────── loss 6.3707 lr 1.06e-02 |g| 0.200 1.44M tok/s + 260/1143 ━━━━────────────── loss 6.2014 lr 1.06e-02 |g| 0.121 1.44M tok/s + 270/1143 ━━━━────────────── loss 6.3270 lr 1.05e-02 |g| 0.192 1.45M tok/s + 280/1143 ━━━━────────────── loss 6.1620 lr 1.04e-02 |g| 0.105 1.45M tok/s + 290/1143 ━━━━━───────────── loss 6.0808 lr 1.03e-02 |g| 0.109 1.45M tok/s + 300/1143 ━━━━━───────────── loss 6.1739 lr 1.03e-02 |g| 0.209 1.45M tok/s + 310/1143 ━━━━━───────────── loss 6.0719 lr 1.02e-02 |g| 0.124 1.45M tok/s + 320/1143 ━━━━━───────────── loss 6.0775 lr 1.01e-02 |g| 0.115 1.46M tok/s + 330/1143 ━━━━━───────────── loss 5.8888 lr 1.00e-02 |g| 0.122 1.46M tok/s + 340/1143 ━━━━━───────────── loss 5.8514 lr 9.91e-03 |g| 0.100 1.46M tok/s + 350/1143 ━━━━━━──────────── loss 5.9251 lr 9.81e-03 |g| 0.119 1.46M tok/s + 360/1143 ━━━━━━──────────── loss 5.8495 lr 9.71e-03 |g| 0.162 1.46M tok/s + 370/1143 ━━━━━━──────────── loss 5.7935 lr 9.61e-03 |g| 0.147 1.46M tok/s + 380/1143 ━━━━━━──────────── loss 5.6838 lr 9.50e-03 |g| 0.141 1.46M tok/s + 390/1143 ━━━━━━──────────── loss 5.6655 lr 9.39e-03 |g| 0.126 1.46M tok/s + 400/1143 ━━━━━━──────────── loss 5.6434 lr 9.27e-03 |g| 0.093 1.46M tok/s + 410/1143 ━━━━━━──────────── loss 5.6734 lr 9.15e-03 |g| 0.137 1.46M tok/s + 420/1143 ━━━━━━━─────────── loss 5.5493 lr 9.03e-03 |g| 0.114 1.47M tok/s + 430/1143 ━━━━━━━─────────── loss 5.6273 lr 8.91e-03 |g| 0.122 1.47M tok/s + 440/1143 ━━━━━━━─────────── loss 5.5608 lr 8.78e-03 |g| 0.162 1.47M tok/s + 450/1143 ━━━━━━━─────────── loss 5.5184 lr 8.65e-03 |g| 0.130 1.47M tok/s + 460/1143 ━━━━━━━─────────── loss 5.5200 lr 8.52e-03 |g| 0.117 1.47M tok/s + 470/1143 ━━━━━━━─────────── loss 5.4055 lr 8.39e-03 |g| 0.131 1.47M tok/s + 480/1143 ━━━━━━━━────────── loss 5.4589 lr 8.25e-03 |g| 0.094 1.47M tok/s + 490/1143 ━━━━━━━━────────── loss 5.4104 lr 8.12e-03 |g| 0.166 1.47M tok/s + 500/1143 ━━━━━━━━────────── loss 5.3921 lr 7.98e-03 |g| 0.150 1.47M tok/s + 510/1143 ━━━━━━━━────────── loss 5.3706 lr 7.84e-03 |g| 0.115 1.47M tok/s + 520/1143 ━━━━━━━━────────── loss 5.3134 lr 7.69e-03 |g| 0.138 1.47M tok/s + 530/1143 ━━━━━━━━────────── loss 5.3850 lr 7.55e-03 |g| 0.182 1.47M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.2269 lr 7.40e-03 |g| 0.130 1.47M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.2323 lr 7.26e-03 |g| 0.128 1.47M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.2644 lr 7.11e-03 |g| 0.112 1.47M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.2091 lr 6.96e-03 |g| 0.189 1.47M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.1870 lr 6.81e-03 |g| 0.093 1.48M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.1561 lr 6.66e-03 |g| 0.100 1.48M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.1378 lr 6.51e-03 |g| 0.087 1.48M tok/s + 610/1143 ━━━━━━━━━━──────── loss 5.1103 lr 6.36e-03 |g| 0.179 1.48M tok/s + 620/1143 ━━━━━━━━━━──────── loss 5.1012 lr 6.21e-03 |g| 0.116 1.48M tok/s + 630/1143 ━━━━━━━━━━──────── loss 5.0759 lr 6.05e-03 |g| 0.104 1.48M tok/s + 640/1143 ━━━━━━━━━━──────── loss 5.0055 lr 5.90e-03 |g| 0.129 1.48M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.9651 lr 5.75e-03 |g| 0.123 1.48M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.9732 lr 5.60e-03 |g| 0.110 1.48M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.9621 lr 5.45e-03 |g| 0.087 1.48M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 5.0706 lr 5.30e-03 |g| 0.082 1.48M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.8930 lr 5.15e-03 |g| 0.097 1.48M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.8405 lr 5.00e-03 |g| 0.084 1.48M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.9217 lr 4.85e-03 |g| 0.107 1.48M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.8388 lr 4.71e-03 |g| 0.095 1.48M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.8451 lr 4.56e-03 |g| 0.117 1.48M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.7387 lr 4.42e-03 |g| 0.121 1.48M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.7585 lr 4.27e-03 |g| 0.093 1.48M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.7113 lr 4.13e-03 |g| 0.114 1.48M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.7268 lr 4.00e-03 |g| 0.101 1.48M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.7577 lr 3.86e-03 |g| 0.087 1.48M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.7228 lr 3.72e-03 |g| 0.099 1.48M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.7560 lr 3.59e-03 |g| 0.137 1.48M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.6657 lr 3.46e-03 |g| 0.092 1.48M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.6325 lr 3.33e-03 |g| 0.097 1.48M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.6607 lr 3.21e-03 |g| 0.100 1.48M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.6273 lr 3.08e-03 |g| 0.090 1.48M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.6267 lr 2.96e-03 |g| 0.096 1.48M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.6170 lr 2.85e-03 |g| 0.096 1.48M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.7076 lr 2.73e-03 |g| 0.073 1.48M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.6147 lr 2.62e-03 |g| 0.102 1.48M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.6102 lr 2.52e-03 |g| 0.077 1.48M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.5691 lr 2.41e-03 |g| 0.099 1.48M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.5320 lr 2.31e-03 |g| 0.086 1.48M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.5442 lr 2.21e-03 |g| 0.084 1.48M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.5451 lr 2.12e-03 |g| 0.098 1.48M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.5228 lr 2.03e-03 |g| 0.086 1.48M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.5157 lr 1.94e-03 |g| 0.106 1.49M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4821 lr 1.86e-03 |g| 0.084 1.49M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.5493 lr 1.78e-03 |g| 0.082 1.49M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.5022 lr 1.71e-03 |g| 0.088 1.49M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.4450 lr 1.64e-03 |g| 0.079 1.49M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.4593 lr 1.57e-03 |g| 0.086 1.49M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4915 lr 1.51e-03 |g| 0.073 1.49M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.4642 lr 1.45e-03 |g| 0.095 1.49M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.5449 lr 1.40e-03 |g| 0.078 1.49M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.4413 lr 1.35e-03 |g| 0.077 1.49M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3667 lr 1.30e-03 |g| 0.071 1.49M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4579 lr 1.26e-03 |g| 0.078 1.49M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4315 lr 1.23e-03 |g| 0.068 1.49M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4066 lr 1.20e-03 |g| 0.085 1.49M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4510 lr 1.17e-03 |g| 0.079 1.49M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4355 lr 1.15e-03 |g| 0.072 1.49M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4443 lr 1.13e-03 |g| 0.082 1.49M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4402 lr 1.12e-03 |g| 0.090 1.49M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4233 lr 1.11e-03 |g| 0.075 1.49M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4312 lr 1.11e-03 |g| 0.088 1.49M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4600 lr 1.10e-03 |g| 0.087 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.417s (compilation excluded) + validation loss 4.4244 in 0.498s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..0e9263b88aa374f80db7eda5aac0380a110d2752 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1338/stdout.log @@ -0,0 +1 @@ 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11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..0b4fd41b996bca7568230e4a62e4ce3f53b9e355 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 08:30:49.206079 3233550 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:30:49.206342 3331889 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:30:49.206763 56011 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:30:49.208312 3286477 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.52s, eval in 7.39s; periodic validation disabled + 1/1143 ────────────────── loss 10.9095 lr 9.69e-05 |g| 3.887 844.36K tok/s + 10/1143 ────────────────── loss 8.8274 lr 9.69e-04 |g| 1.555 1.32M tok/s + 20/1143 ────────────────── loss 7.7434 lr 1.94e-03 |g| 0.637 1.40M tok/s + 30/1143 ────────────────── loss 7.7574 lr 2.91e-03 |g| 0.228 1.43M tok/s + 40/1143 ━───────────────── loss 7.7577 lr 3.88e-03 |g| 0.871 1.45M tok/s + 50/1143 ━───────────────── loss 7.5960 lr 4.85e-03 |g| 0.581 1.46M tok/s + 60/1143 ━───────────────── loss 7.4419 lr 5.82e-03 |g| 0.495 1.47M tok/s + 70/1143 ━───────────────── loss 7.3604 lr 6.78e-03 |g| 0.288 1.47M tok/s + 80/1143 ━───────────────── loss 7.4060 lr 7.75e-03 |g| 0.456 1.48M tok/s + 90/1143 ━───────────────── loss 7.3332 lr 8.72e-03 |g| 0.641 1.48M tok/s + 100/1143 ━━──────────────── loss 7.2372 lr 9.69e-03 |g| 0.399 1.48M tok/s + 110/1143 ━━──────────────── loss 7.1700 lr 1.07e-02 |g| 0.583 1.48M tok/s + 120/1143 ━━──────────────── loss 7.1036 lr 1.10e-02 |g| 0.196 1.48M tok/s + 130/1143 ━━──────────────── loss 7.0835 lr 1.10e-02 |g| 0.332 1.49M tok/s + 140/1143 ━━──────────────── loss 6.9739 lr 1.10e-02 |g| 0.252 1.49M tok/s + 150/1143 ━━──────────────── loss 6.9821 lr 1.10e-02 |g| 0.410 1.49M tok/s + 160/1143 ━━━─────────────── loss 6.9248 lr 1.10e-02 |g| 0.279 1.49M tok/s + 170/1143 ━━━─────────────── loss 6.8928 lr 1.10e-02 |g| 0.239 1.49M tok/s + 180/1143 ━━━─────────────── loss 6.6569 lr 1.09e-02 |g| 0.359 1.49M tok/s + 190/1143 ━━━─────────────── loss 6.6487 lr 1.09e-02 |g| 0.216 1.49M tok/s + 200/1143 ━━━─────────────── loss 6.5559 lr 1.09e-02 |g| 0.179 1.49M tok/s + 210/1143 ━━━─────────────── loss 6.5335 lr 1.08e-02 |g| 0.380 1.49M tok/s + 220/1143 ━━━─────────────── loss 6.5151 lr 1.08e-02 |g| 0.256 1.49M tok/s + 230/1143 ━━━━────────────── loss 6.3927 lr 1.07e-02 |g| 0.100 1.49M tok/s + 240/1143 ━━━━────────────── loss 6.3872 lr 1.07e-02 |g| 0.240 1.49M tok/s + 250/1143 ━━━━────────────── loss 6.1780 lr 1.06e-02 |g| 0.132 1.49M tok/s + 260/1143 ━━━━────────────── loss 6.2740 lr 1.06e-02 |g| 0.149 1.49M tok/s + 270/1143 ━━━━────────────── loss 6.1265 lr 1.05e-02 |g| 0.132 1.49M tok/s + 280/1143 ━━━━────────────── loss 6.1054 lr 1.04e-02 |g| 0.238 1.49M tok/s + 290/1143 ━━━━━───────────── loss 6.0282 lr 1.03e-02 |g| 0.152 1.49M tok/s + 300/1143 ━━━━━───────────── loss 6.0214 lr 1.03e-02 |g| 0.124 1.49M tok/s + 310/1143 ━━━━━───────────── loss 5.9387 lr 1.02e-02 |g| 0.178 1.49M tok/s + 320/1143 ━━━━━───────────── loss 5.8776 lr 1.01e-02 |g| 0.162 1.49M tok/s + 330/1143 ━━━━━───────────── loss 5.9269 lr 1.00e-02 |g| 0.164 1.50M tok/s + 340/1143 ━━━━━───────────── loss 5.8679 lr 9.91e-03 |g| 0.144 1.50M tok/s + 350/1143 ━━━━━━──────────── loss 5.7161 lr 9.81e-03 |g| 0.119 1.50M tok/s + 360/1143 ━━━━━━──────────── loss 5.7296 lr 9.71e-03 |g| 0.108 1.50M tok/s + 370/1143 ━━━━━━──────────── loss 5.6595 lr 9.61e-03 |g| 0.146 1.50M tok/s + 380/1143 ━━━━━━──────────── loss 5.6712 lr 9.50e-03 |g| 0.115 1.50M tok/s + 390/1143 ━━━━━━──────────── loss 5.6140 lr 9.39e-03 |g| 0.127 1.50M tok/s + 400/1143 ━━━━━━──────────── loss 5.6183 lr 9.27e-03 |g| 0.073 1.50M tok/s + 410/1143 ━━━━━━──────────── loss 5.6347 lr 9.15e-03 |g| 0.211 1.50M tok/s + 420/1143 ━━━━━━━─────────── loss 5.5722 lr 9.03e-03 |g| 0.181 1.50M tok/s + 430/1143 ━━━━━━━─────────── loss 5.5357 lr 8.91e-03 |g| 0.121 1.50M tok/s + 440/1143 ━━━━━━━─────────── loss 5.5444 lr 8.78e-03 |g| 0.198 1.50M tok/s + 450/1143 ━━━━━━━─────────── loss 5.4113 lr 8.65e-03 |g| 0.094 1.50M tok/s + 460/1143 ━━━━━━━─────────── loss 5.4894 lr 8.52e-03 |g| 0.266 1.50M tok/s + 470/1143 ━━━━━━━─────────── loss 5.3608 lr 8.39e-03 |g| 0.140 1.50M tok/s + 480/1143 ━━━━━━━━────────── loss 5.3805 lr 8.25e-03 |g| 0.121 1.50M tok/s + 490/1143 ━━━━━━━━────────── loss 5.3463 lr 8.12e-03 |g| 0.111 1.50M tok/s + 500/1143 ━━━━━━━━────────── loss 5.3254 lr 7.98e-03 |g| 0.077 1.50M tok/s + 510/1143 ━━━━━━━━────────── loss 5.2697 lr 7.84e-03 |g| 0.146 1.50M tok/s + 520/1143 ━━━━━━━━────────── loss 5.2985 lr 7.69e-03 |g| 0.082 1.50M tok/s + 530/1143 ━━━━━━━━────────── loss 5.2216 lr 7.55e-03 |g| 0.141 1.50M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.2843 lr 7.40e-03 |g| 0.110 1.50M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.1881 lr 7.26e-03 |g| 0.096 1.50M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.2449 lr 7.11e-03 |g| 0.115 1.50M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.1332 lr 6.96e-03 |g| 0.085 1.50M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.1419 lr 6.81e-03 |g| 0.184 1.50M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.1508 lr 6.66e-03 |g| 0.141 1.50M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.0815 lr 6.51e-03 |g| 0.121 1.50M tok/s + 610/1143 ━━━━━━━━━━──────── loss 5.0352 lr 6.36e-03 |g| 0.187 1.50M tok/s + 620/1143 ━━━━━━━━━━──────── loss 5.0303 lr 6.21e-03 |g| 0.079 1.50M tok/s + 630/1143 ━━━━━━━━━━──────── loss 5.0406 lr 6.05e-03 |g| 0.095 1.50M tok/s + 640/1143 ━━━━━━━━━━──────── loss 5.0294 lr 5.90e-03 |g| 0.078 1.50M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.9772 lr 5.75e-03 |g| 0.103 1.50M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.9684 lr 5.60e-03 |g| 0.090 1.50M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.9302 lr 5.45e-03 |g| 0.107 1.50M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.8928 lr 5.30e-03 |g| 0.136 1.50M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.8831 lr 5.15e-03 |g| 0.135 1.50M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.8371 lr 5.00e-03 |g| 0.091 1.50M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.8355 lr 4.85e-03 |g| 0.085 1.50M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.9009 lr 4.71e-03 |g| 0.119 1.50M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.8006 lr 4.56e-03 |g| 0.110 1.50M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.8029 lr 4.42e-03 |g| 0.121 1.50M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.7927 lr 4.27e-03 |g| 0.081 1.50M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.7973 lr 4.13e-03 |g| 0.106 1.50M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.7158 lr 4.00e-03 |g| 0.093 1.50M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.7066 lr 3.86e-03 |g| 0.087 1.50M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.6147 lr 3.72e-03 |g| 0.095 1.50M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.7718 lr 3.59e-03 |g| 0.075 1.50M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.6864 lr 3.46e-03 |g| 0.100 1.50M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.7017 lr 3.33e-03 |g| 0.090 1.50M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.6017 lr 3.21e-03 |g| 0.075 1.50M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.6206 lr 3.08e-03 |g| 0.123 1.50M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.5977 lr 2.96e-03 |g| 0.096 1.50M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.6059 lr 2.85e-03 |g| 0.090 1.50M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.5962 lr 2.73e-03 |g| 0.079 1.50M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.5653 lr 2.62e-03 |g| 0.099 1.50M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.6123 lr 2.52e-03 |g| 0.091 1.50M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.5961 lr 2.41e-03 |g| 0.089 1.50M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.5668 lr 2.31e-03 |g| 0.070 1.50M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.6068 lr 2.21e-03 |g| 0.080 1.50M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.5635 lr 2.12e-03 |g| 0.104 1.50M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.5225 lr 2.03e-03 |g| 0.100 1.50M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.4730 lr 1.94e-03 |g| 0.088 1.50M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.5259 lr 1.86e-03 |g| 0.071 1.50M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.5871 lr 1.78e-03 |g| 0.096 1.50M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.4815 lr 1.71e-03 |g| 0.076 1.50M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.5331 lr 1.64e-03 |g| 0.096 1.50M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.5196 lr 1.57e-03 |g| 0.079 1.50M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4677 lr 1.51e-03 |g| 0.082 1.50M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.4806 lr 1.45e-03 |g| 0.082 1.50M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.5379 lr 1.40e-03 |g| 0.078 1.50M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.5101 lr 1.35e-03 |g| 0.097 1.50M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4542 lr 1.30e-03 |g| 0.073 1.50M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3894 lr 1.26e-03 |g| 0.071 1.50M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4822 lr 1.23e-03 |g| 0.073 1.50M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4595 lr 1.20e-03 |g| 0.083 1.50M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4135 lr 1.17e-03 |g| 0.072 1.50M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4667 lr 1.15e-03 |g| 0.076 1.50M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4099 lr 1.13e-03 |g| 0.086 1.50M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4185 lr 1.12e-03 |g| 0.076 1.50M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3436 lr 1.11e-03 |g| 0.081 1.50M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3854 lr 1.11e-03 |g| 0.082 1.50M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3671 lr 1.10e-03 |g| 0.082 1.50M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 199.837s (compilation excluded) + validation loss 4.4244 in 0.497s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..2b7b765ccf36c659cdc11f410663aa296a9f30f7 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1339/stdout.log @@ -0,0 +1 @@ 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11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..7ff92ec8c27b523c0ae95ef52ebe88c7a8dbf631 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stderr.log @@ -0,0 +1,170 @@ +E0819 08:03:56.176954 3304391 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:03:56.177278 3206217 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:03:56.177582 3258964 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:03:56.177905 23968 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 29.67s, eval in 7.44s; periodic validation disabled + 1/1143 ────────────────── loss 10.9059 lr 4.85e-05 |g| 3.578 835.67K tok/s + 10/1143 ────────────────── loss 9.4964 lr 4.85e-04 |g| 1.590 1.17M tok/s + 20/1143 ────────────────── loss 7.9137 lr 9.69e-04 |g| 4.705 1.31M tok/s + 30/1143 ────────────────── loss 7.6366 lr 1.45e-03 |g| 0.345 1.37M tok/s + 40/1143 ━───────────────── loss 7.5407 lr 1.94e-03 |g| 0.464 1.40M tok/s + 50/1143 ━───────────────── loss 7.4807 lr 2.42e-03 |g| 0.601 1.42M tok/s + 60/1143 ━───────────────── loss 7.4638 lr 2.91e-03 |g| 0.379 1.43M tok/s + 70/1143 ━───────────────── loss 7.4192 lr 3.39e-03 |g| 0.401 1.44M tok/s + 80/1143 ━───────────────── loss 7.3580 lr 3.88e-03 |g| 0.679 1.45M tok/s + 90/1143 ━───────────────── loss 7.3771 lr 4.36e-03 |g| 0.399 1.45M tok/s + 100/1143 ━━──────────────── loss 7.1610 lr 4.85e-03 |g| 0.517 1.46M tok/s + 110/1143 ━━──────────────── loss 7.0803 lr 5.33e-03 |g| 0.556 1.46M tok/s + 120/1143 ━━──────────────── loss 7.1292 lr 5.52e-03 |g| 0.549 1.47M tok/s + 130/1143 ━━──────────────── loss 6.9423 lr 5.52e-03 |g| 0.310 1.47M tok/s + 140/1143 ━━──────────────── loss 6.7954 lr 5.52e-03 |g| 0.255 1.47M tok/s + 150/1143 ━━──────────────── loss 6.7067 lr 5.51e-03 |g| 0.336 1.47M tok/s + 160/1143 ━━━─────────────── loss 6.6843 lr 5.50e-03 |g| 0.277 1.47M tok/s + 170/1143 ━━━─────────────── loss 6.5516 lr 5.49e-03 |g| 0.302 1.48M tok/s + 180/1143 ━━━─────────────── loss 6.5267 lr 5.47e-03 |g| 0.272 1.48M tok/s + 190/1143 ━━━─────────────── loss 6.4519 lr 5.46e-03 |g| 0.418 1.48M tok/s + 200/1143 ━━━─────────────── loss 6.4463 lr 5.44e-03 |g| 0.293 1.48M tok/s + 210/1143 ━━━─────────────── loss 6.3527 lr 5.42e-03 |g| 0.348 1.48M tok/s + 220/1143 ━━━─────────────── loss 6.3683 lr 5.40e-03 |g| 0.430 1.48M tok/s + 230/1143 ━━━━────────────── loss 6.2980 lr 5.37e-03 |g| 0.380 1.48M tok/s + 240/1143 ━━━━────────────── loss 6.2762 lr 5.34e-03 |g| 0.210 1.48M tok/s + 250/1143 ━━━━────────────── loss 6.1268 lr 5.31e-03 |g| 0.319 1.48M tok/s + 260/1143 ━━━━────────────── loss 6.1487 lr 5.28e-03 |g| 0.227 1.48M tok/s + 270/1143 ━━━━────────────── loss 6.0953 lr 5.25e-03 |g| 0.384 1.48M tok/s + 280/1143 ━━━━────────────── loss 6.0003 lr 5.21e-03 |g| 0.179 1.49M tok/s + 290/1143 ━━━━━───────────── loss 5.9422 lr 5.17e-03 |g| 0.151 1.49M tok/s + 300/1143 ━━━━━───────────── loss 5.8920 lr 5.13e-03 |g| 0.164 1.49M tok/s + 310/1143 ━━━━━───────────── loss 5.9254 lr 5.09e-03 |g| 0.364 1.49M tok/s + 320/1143 ━━━━━───────────── loss 5.8565 lr 5.05e-03 |g| 0.349 1.49M tok/s + 330/1143 ━━━━━───────────── loss 5.7648 lr 5.00e-03 |g| 0.198 1.49M tok/s + 340/1143 ━━━━━───────────── loss 5.7482 lr 4.96e-03 |g| 0.222 1.49M tok/s + 350/1143 ━━━━━━──────────── loss 5.6917 lr 4.91e-03 |g| 0.145 1.49M tok/s + 360/1143 ━━━━━━──────────── loss 5.7603 lr 4.86e-03 |g| 0.167 1.49M tok/s + 370/1143 ━━━━━━──────────── loss 5.7142 lr 4.80e-03 |g| 0.169 1.49M tok/s + 380/1143 ━━━━━━──────────── loss 5.7004 lr 4.75e-03 |g| 0.217 1.49M tok/s + 390/1143 ━━━━━━──────────── loss 5.6011 lr 4.69e-03 |g| 0.232 1.49M tok/s + 400/1143 ━━━━━━──────────── loss 5.6622 lr 4.64e-03 |g| 0.144 1.49M tok/s + 410/1143 ━━━━━━──────────── loss 5.5556 lr 4.58e-03 |g| 0.181 1.49M tok/s + 420/1143 ━━━━━━━─────────── loss 5.5620 lr 4.52e-03 |g| 0.176 1.49M tok/s + 430/1143 ━━━━━━━─────────── loss 5.5356 lr 4.45e-03 |g| 0.217 1.49M tok/s + 440/1143 ━━━━━━━─────────── loss 5.5346 lr 4.39e-03 |g| 0.230 1.49M tok/s + 450/1143 ━━━━━━━─────────── loss 5.3645 lr 4.33e-03 |g| 0.170 1.49M tok/s + 460/1143 ━━━━━━━─────────── loss 5.4422 lr 4.26e-03 |g| 0.230 1.49M tok/s + 470/1143 ━━━━━━━─────────── loss 5.3758 lr 4.19e-03 |g| 0.152 1.49M tok/s + 480/1143 ━━━━━━━━────────── loss 5.3615 lr 4.13e-03 |g| 0.239 1.49M tok/s + 490/1143 ━━━━━━━━────────── loss 5.3647 lr 4.06e-03 |g| 0.211 1.49M tok/s + 500/1143 ━━━━━━━━────────── loss 5.3089 lr 3.99e-03 |g| 0.148 1.49M tok/s + 510/1143 ━━━━━━━━────────── loss 5.2398 lr 3.92e-03 |g| 0.173 1.49M tok/s + 520/1143 ━━━━━━━━────────── loss 5.2075 lr 3.85e-03 |g| 0.146 1.49M tok/s + 530/1143 ━━━━━━━━────────── loss 5.2967 lr 3.77e-03 |g| 0.138 1.49M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.2418 lr 3.70e-03 |g| 0.231 1.49M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.2302 lr 3.63e-03 |g| 0.136 1.49M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.1727 lr 3.55e-03 |g| 0.181 1.49M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.2439 lr 3.48e-03 |g| 0.169 1.49M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.2649 lr 3.41e-03 |g| 0.176 1.49M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.1698 lr 3.33e-03 |g| 0.158 1.49M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.1066 lr 3.25e-03 |g| 0.214 1.49M tok/s + 610/1143 ━━━━━━━━━━──────── loss 5.1471 lr 3.18e-03 |g| 0.163 1.49M tok/s + 620/1143 ━━━━━━━━━━──────── loss 5.0356 lr 3.10e-03 |g| 0.179 1.49M tok/s + 630/1143 ━━━━━━━━━━──────── loss 5.0217 lr 3.03e-03 |g| 0.159 1.49M tok/s + 640/1143 ━━━━━━━━━━──────── loss 5.0136 lr 2.95e-03 |g| 0.138 1.49M tok/s + 650/1143 ━━━━━━━━━━──────── loss 5.0257 lr 2.88e-03 |g| 0.137 1.49M tok/s + 660/1143 ━━━━━━━━━━──────── loss 5.0903 lr 2.80e-03 |g| 0.134 1.49M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.9791 lr 2.72e-03 |g| 0.174 1.49M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 5.0594 lr 2.65e-03 |g| 0.161 1.49M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.9580 lr 2.57e-03 |g| 0.142 1.49M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.9201 lr 2.50e-03 |g| 0.125 1.49M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.9090 lr 2.43e-03 |g| 0.158 1.49M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.9224 lr 2.35e-03 |g| 0.159 1.49M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.9428 lr 2.28e-03 |g| 0.129 1.49M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.8029 lr 2.21e-03 |g| 0.158 1.49M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.8471 lr 2.14e-03 |g| 0.146 1.49M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.8277 lr 2.07e-03 |g| 0.132 1.49M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.8017 lr 2.00e-03 |g| 0.163 1.49M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.8493 lr 1.93e-03 |g| 0.131 1.50M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.8422 lr 1.86e-03 |g| 0.145 1.50M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.7582 lr 1.80e-03 |g| 0.132 1.50M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.7268 lr 1.73e-03 |g| 0.127 1.50M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.7767 lr 1.67e-03 |g| 0.125 1.50M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.8111 lr 1.60e-03 |g| 0.133 1.50M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.6869 lr 1.54e-03 |g| 0.130 1.50M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.7330 lr 1.48e-03 |g| 0.120 1.50M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.6358 lr 1.42e-03 |g| 0.124 1.50M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.7080 lr 1.37e-03 |g| 0.133 1.50M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.6654 lr 1.31e-03 |g| 0.139 1.50M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.7995 lr 1.26e-03 |g| 0.145 1.50M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.6932 lr 1.21e-03 |g| 0.127 1.50M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.7264 lr 1.16e-03 |g| 0.129 1.50M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.6720 lr 1.11e-03 |g| 0.112 1.50M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.6761 lr 1.06e-03 |g| 0.117 1.50M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.6400 lr 1.01e-03 |g| 0.113 1.50M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.5801 lr 9.72e-04 |g| 0.109 1.50M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.6864 lr 9.30e-04 |g| 0.141 1.50M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.5689 lr 8.91e-04 |g| 0.133 1.50M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.6349 lr 8.54e-04 |g| 0.134 1.50M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.6285 lr 8.19e-04 |g| 0.112 1.50M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.5325 lr 7.86e-04 |g| 0.105 1.50M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.6238 lr 7.55e-04 |g| 0.116 1.50M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.5614 lr 7.26e-04 |g| 0.109 1.50M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.5579 lr 6.99e-04 |g| 0.116 1.50M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.5887 lr 6.74e-04 |g| 0.134 1.50M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5413 lr 6.52e-04 |g| 0.137 1.50M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5252 lr 6.32e-04 |g| 0.114 1.50M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5278 lr 6.14e-04 |g| 0.110 1.50M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5029 lr 5.98e-04 |g| 0.116 1.50M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5713 lr 5.85e-04 |g| 0.129 1.50M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5801 lr 5.74e-04 |g| 0.120 1.50M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4785 lr 5.65e-04 |g| 0.115 1.50M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.5321 lr 5.59e-04 |g| 0.103 1.50M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4195 lr 5.54e-04 |g| 0.113 1.50M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.5034 lr 5.53e-04 |g| 0.125 1.50M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.5401 lr 5.52e-04 |g| 0.115 1.50M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 200.201s (compilation excluded) + validation loss 4.5173 in 0.497s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..831e2cfb15ea13ae7c48fc4bd0a03781b2c64554 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1337/stdout.log @@ -0,0 +1 @@ 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11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..d1b87d22b0033bfd09df5fb1f5435f7764918627 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 08:09:17.109611 3264534 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:09:17.110498 3211764 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:09:17.111239 30470 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:09:17.113277 3309968 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.49s, eval in 7.67s; periodic validation disabled + 1/1143 ────────────────── loss 10.8844 lr 4.85e-05 |g| 3.366 832.94K tok/s + 10/1143 ────────────────── loss 9.4991 lr 4.85e-04 |g| 1.580 707.88K tok/s + 20/1143 ────────────────── loss 7.8640 lr 9.69e-04 |g| 0.877 962.19K tok/s + 30/1143 ────────────────── loss 7.6654 lr 1.45e-03 |g| 1.503 1.09M tok/s + 40/1143 ━───────────────── loss 7.5049 lr 1.94e-03 |g| 0.419 1.17M tok/s + 50/1143 ━───────────────── loss 7.4414 lr 2.42e-03 |g| 0.664 1.23M tok/s + 60/1143 ━───────────────── loss 7.1423 lr 2.91e-03 |g| 0.443 1.27M tok/s + 70/1143 ━───────────────── loss 7.1420 lr 3.39e-03 |g| 0.674 1.29M tok/s + 80/1143 ━───────────────── loss 7.0184 lr 3.88e-03 |g| 0.380 1.32M tok/s + 90/1143 ━───────────────── loss 6.8723 lr 4.36e-03 |g| 0.260 1.34M tok/s + 100/1143 ━━──────────────── loss 6.8758 lr 4.85e-03 |g| 0.528 1.35M tok/s + 110/1143 ━━──────────────── loss 6.7288 lr 5.33e-03 |g| 0.396 1.36M tok/s + 120/1143 ━━──────────────── loss 6.5746 lr 5.52e-03 |g| 0.267 1.37M tok/s + 130/1143 ━━──────────────── loss 6.5850 lr 5.52e-03 |g| 0.412 1.38M tok/s + 140/1143 ━━──────────────── loss 6.5223 lr 5.52e-03 |g| 0.265 1.39M tok/s + 150/1143 ━━──────────────── loss 6.4768 lr 5.51e-03 |g| 0.240 1.40M tok/s + 160/1143 ━━━─────────────── loss 6.4373 lr 5.50e-03 |g| 0.328 1.40M tok/s + 170/1143 ━━━─────────────── loss 6.4230 lr 5.49e-03 |g| 0.479 1.41M tok/s + 180/1143 ━━━─────────────── loss 6.3439 lr 5.47e-03 |g| 0.416 1.41M tok/s + 190/1143 ━━━─────────────── loss 6.2600 lr 5.46e-03 |g| 0.329 1.42M tok/s + 200/1143 ━━━─────────────── loss 6.0885 lr 5.44e-03 |g| 0.261 1.42M tok/s + 210/1143 ━━━─────────────── loss 6.1162 lr 5.42e-03 |g| 0.315 1.43M tok/s + 220/1143 ━━━─────────────── loss 6.0537 lr 5.40e-03 |g| 0.193 1.43M tok/s + 230/1143 ━━━━────────────── loss 5.9972 lr 5.37e-03 |g| 0.249 1.43M tok/s + 240/1143 ━━━━────────────── loss 5.9463 lr 5.34e-03 |g| 0.317 1.43M tok/s + 250/1143 ━━━━────────────── loss 5.9519 lr 5.31e-03 |g| 0.191 1.44M tok/s + 260/1143 ━━━━────────────── loss 5.8553 lr 5.28e-03 |g| 0.212 1.44M tok/s + 270/1143 ━━━━────────────── loss 5.8574 lr 5.25e-03 |g| 0.220 1.44M tok/s + 280/1143 ━━━━────────────── loss 5.8253 lr 5.21e-03 |g| 0.254 1.44M tok/s + 290/1143 ━━━━━───────────── loss 5.6985 lr 5.17e-03 |g| 0.178 1.45M tok/s + 300/1143 ━━━━━───────────── loss 5.7095 lr 5.13e-03 |g| 0.336 1.45M tok/s + 310/1143 ━━━━━───────────── loss 5.7322 lr 5.09e-03 |g| 0.175 1.45M tok/s + 320/1143 ━━━━━───────────── loss 5.7684 lr 5.05e-03 |g| 0.229 1.45M tok/s + 330/1143 ━━━━━───────────── loss 5.5835 lr 5.00e-03 |g| 0.222 1.45M tok/s + 340/1143 ━━━━━───────────── loss 5.6280 lr 4.96e-03 |g| 0.295 1.45M tok/s + 350/1143 ━━━━━━──────────── loss 5.6325 lr 4.91e-03 |g| 0.124 1.45M tok/s + 360/1143 ━━━━━━──────────── loss 5.5813 lr 4.86e-03 |g| 0.227 1.46M tok/s + 370/1143 ━━━━━━──────────── loss 5.5236 lr 4.80e-03 |g| 0.259 1.46M tok/s + 380/1143 ━━━━━━──────────── loss 5.4607 lr 4.75e-03 |g| 0.251 1.46M tok/s + 390/1143 ━━━━━━──────────── loss 5.4117 lr 4.69e-03 |g| 0.231 1.46M tok/s + 400/1143 ━━━━━━──────────── loss 5.4207 lr 4.64e-03 |g| 0.204 1.46M tok/s + 410/1143 ━━━━━━──────────── loss 5.4125 lr 4.58e-03 |g| 0.160 1.46M tok/s + 420/1143 ━━━━━━━─────────── loss 5.3259 lr 4.52e-03 |g| 0.204 1.46M tok/s + 430/1143 ━━━━━━━─────────── loss 5.3865 lr 4.45e-03 |g| 0.227 1.46M tok/s + 440/1143 ━━━━━━━─────────── loss 5.3370 lr 4.39e-03 |g| 0.171 1.46M tok/s + 450/1143 ━━━━━━━─────────── loss 5.3148 lr 4.33e-03 |g| 0.220 1.46M tok/s + 460/1143 ━━━━━━━─────────── loss 5.3207 lr 4.26e-03 |g| 0.176 1.47M tok/s + 470/1143 ━━━━━━━─────────── loss 5.1956 lr 4.19e-03 |g| 0.167 1.47M tok/s + 480/1143 ━━━━━━━━────────── loss 5.2873 lr 4.13e-03 |g| 0.190 1.47M tok/s + 490/1143 ━━━━━━━━────────── loss 5.2163 lr 4.06e-03 |g| 0.134 1.47M tok/s + 500/1143 ━━━━━━━━────────── loss 5.1952 lr 3.99e-03 |g| 0.145 1.47M tok/s + 510/1143 ━━━━━━━━────────── loss 5.1898 lr 3.92e-03 |g| 0.128 1.47M tok/s + 520/1143 ━━━━━━━━────────── loss 5.1442 lr 3.85e-03 |g| 0.171 1.47M tok/s + 530/1143 ━━━━━━━━────────── loss 5.1895 lr 3.77e-03 |g| 0.154 1.47M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.0373 lr 3.70e-03 |g| 0.140 1.47M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.0829 lr 3.63e-03 |g| 0.172 1.47M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.1057 lr 3.55e-03 |g| 0.189 1.47M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.0480 lr 3.48e-03 |g| 0.171 1.47M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.0356 lr 3.41e-03 |g| 0.114 1.47M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.0121 lr 3.33e-03 |g| 0.167 1.47M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.0006 lr 3.25e-03 |g| 0.160 1.47M tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.9614 lr 3.18e-03 |g| 0.119 1.47M tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.9539 lr 3.10e-03 |g| 0.115 1.47M tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.9428 lr 3.03e-03 |g| 0.181 1.47M tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.8681 lr 2.95e-03 |g| 0.140 1.48M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.8478 lr 2.88e-03 |g| 0.153 1.48M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.8528 lr 2.80e-03 |g| 0.174 1.48M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.8488 lr 2.72e-03 |g| 0.121 1.48M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.9729 lr 2.65e-03 |g| 0.156 1.48M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.7938 lr 2.57e-03 |g| 0.146 1.48M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.7419 lr 2.50e-03 |g| 0.135 1.48M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.8261 lr 2.43e-03 |g| 0.159 1.48M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.7482 lr 2.35e-03 |g| 0.132 1.48M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.7725 lr 2.28e-03 |g| 0.161 1.48M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.6419 lr 2.21e-03 |g| 0.145 1.48M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.6768 lr 2.14e-03 |g| 0.123 1.48M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.6361 lr 2.07e-03 |g| 0.147 1.48M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.6539 lr 2.00e-03 |g| 0.147 1.48M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.6868 lr 1.93e-03 |g| 0.113 1.48M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.6529 lr 1.86e-03 |g| 0.147 1.48M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.6915 lr 1.80e-03 |g| 0.135 1.48M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.6065 lr 1.73e-03 |g| 0.123 1.48M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.5698 lr 1.67e-03 |g| 0.133 1.48M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.6006 lr 1.60e-03 |g| 0.135 1.48M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.5798 lr 1.54e-03 |g| 0.133 1.48M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.5732 lr 1.48e-03 |g| 0.143 1.48M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.5661 lr 1.42e-03 |g| 0.139 1.48M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.6628 lr 1.37e-03 |g| 0.124 1.48M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.5689 lr 1.31e-03 |g| 0.142 1.48M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.5612 lr 1.26e-03 |g| 0.108 1.48M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.5308 lr 1.21e-03 |g| 0.132 1.48M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4943 lr 1.16e-03 |g| 0.124 1.48M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.5110 lr 1.11e-03 |g| 0.122 1.48M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.5106 lr 1.06e-03 |g| 0.109 1.48M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.4837 lr 1.01e-03 |g| 0.128 1.48M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.4818 lr 9.72e-04 |g| 0.122 1.48M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4552 lr 9.30e-04 |g| 0.114 1.48M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.5190 lr 8.91e-04 |g| 0.115 1.48M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.4724 lr 8.54e-04 |g| 0.125 1.48M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.4208 lr 8.19e-04 |g| 0.107 1.48M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.4345 lr 7.86e-04 |g| 0.115 1.48M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4707 lr 7.55e-04 |g| 0.115 1.48M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.4445 lr 7.26e-04 |g| 0.121 1.48M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.5274 lr 6.99e-04 |g| 0.104 1.48M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.4185 lr 6.74e-04 |g| 0.106 1.48M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3482 lr 6.52e-04 |g| 0.106 1.49M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4420 lr 6.32e-04 |g| 0.108 1.49M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4126 lr 6.14e-04 |g| 0.109 1.49M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3949 lr 5.98e-04 |g| 0.107 1.49M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4357 lr 5.85e-04 |g| 0.107 1.49M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4188 lr 5.74e-04 |g| 0.107 1.49M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4278 lr 5.65e-04 |g| 0.113 1.49M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4294 lr 5.59e-04 |g| 0.115 1.49M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4132 lr 5.54e-04 |g| 0.107 1.49M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4179 lr 5.53e-04 |g| 0.107 1.49M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4457 lr 5.52e-04 |g| 0.117 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.607s (compilation excluded) + validation loss 4.4125 in 0.497s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..b180199b6411e8fb6f108106e2cfd324b772524b --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1338/stdout.log @@ -0,0 +1 @@ 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+ 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..1e069970811658943381839dbd3b7f8a1236d52c --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 08:14:34.868262 3269952 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:14:34.868883 36800 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:14:34.869568 3315320 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:14:34.870055 3217149 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 31.29s, eval in 7.38s; periodic validation disabled + 1/1143 ────────────────── loss 10.9095 lr 4.85e-05 |g| 3.887 1.13M tok/s + 10/1143 ────────────────── loss 9.4897 lr 4.85e-04 |g| 1.618 746.08K tok/s + 20/1143 ────────────────── loss 7.8362 lr 9.69e-04 |g| 0.914 996.54K tok/s + 30/1143 ────────────────── loss 7.7345 lr 1.45e-03 |g| 0.621 1.12M tok/s + 40/1143 ━───────────────── loss 7.6049 lr 1.94e-03 |g| 0.300 1.20M tok/s + 50/1143 ━───────────────── loss 7.6308 lr 2.42e-03 |g| 0.665 1.25M tok/s + 60/1143 ━───────────────── loss 7.2448 lr 2.91e-03 |g| 0.281 1.28M tok/s + 70/1143 ━───────────────── loss 7.1665 lr 3.39e-03 |g| 0.288 1.31M tok/s + 80/1143 ━───────────────── loss 7.1717 lr 3.88e-03 |g| 0.314 1.33M tok/s + 90/1143 ━───────────────── loss 7.1067 lr 4.36e-03 |g| 0.434 1.35M tok/s + 100/1143 ━━──────────────── loss 7.0218 lr 4.85e-03 |g| 0.513 1.36M tok/s + 110/1143 ━━──────────────── loss 6.9056 lr 5.33e-03 |g| 0.343 1.37M tok/s + 120/1143 ━━──────────────── loss 6.8621 lr 5.52e-03 |g| 0.215 1.38M tok/s + 130/1143 ━━──────────────── loss 6.7790 lr 5.52e-03 |g| 0.469 1.39M tok/s + 140/1143 ━━──────────────── loss 6.6665 lr 5.52e-03 |g| 0.409 1.40M tok/s + 150/1143 ━━──────────────── loss 6.6508 lr 5.51e-03 |g| 0.477 1.41M tok/s + 160/1143 ━━━─────────────── loss 6.6273 lr 5.50e-03 |g| 0.339 1.41M tok/s + 170/1143 ━━━─────────────── loss 6.6003 lr 5.49e-03 |g| 0.356 1.42M tok/s + 180/1143 ━━━─────────────── loss 6.3334 lr 5.47e-03 |g| 0.304 1.42M tok/s + 190/1143 ━━━─────────────── loss 6.4130 lr 5.46e-03 |g| 0.266 1.42M tok/s + 200/1143 ━━━─────────────── loss 6.3585 lr 5.44e-03 |g| 0.335 1.43M tok/s + 210/1143 ━━━─────────────── loss 6.2860 lr 5.42e-03 |g| 0.226 1.43M tok/s + 220/1143 ━━━─────────────── loss 6.3204 lr 5.40e-03 |g| 0.383 1.43M tok/s + 230/1143 ━━━━────────────── loss 6.2904 lr 5.37e-03 |g| 0.226 1.44M tok/s + 240/1143 ━━━━────────────── loss 6.2333 lr 5.34e-03 |g| 0.213 1.44M tok/s + 250/1143 ━━━━────────────── loss 6.1379 lr 5.31e-03 |g| 0.432 1.44M tok/s + 260/1143 ━━━━────────────── loss 6.1619 lr 5.28e-03 |g| 0.210 1.44M tok/s + 270/1143 ━━━━────────────── loss 6.0184 lr 5.25e-03 |g| 0.229 1.45M tok/s + 280/1143 ━━━━────────────── loss 5.9804 lr 5.21e-03 |g| 0.293 1.45M tok/s + 290/1143 ━━━━━───────────── loss 5.9247 lr 5.17e-03 |g| 0.212 1.45M tok/s + 300/1143 ━━━━━───────────── loss 5.9642 lr 5.13e-03 |g| 0.257 1.45M tok/s + 310/1143 ━━━━━───────────── loss 5.8255 lr 5.09e-03 |g| 0.161 1.45M tok/s + 320/1143 ━━━━━───────────── loss 5.8070 lr 5.05e-03 |g| 0.189 1.45M tok/s + 330/1143 ━━━━━───────────── loss 5.8472 lr 5.00e-03 |g| 0.213 1.46M tok/s + 340/1143 ━━━━━───────────── loss 5.7744 lr 4.96e-03 |g| 0.185 1.46M tok/s + 350/1143 ━━━━━━──────────── loss 5.6634 lr 4.91e-03 |g| 0.273 1.46M tok/s + 360/1143 ━━━━━━──────────── loss 5.7101 lr 4.86e-03 |g| 0.326 1.46M tok/s + 370/1143 ━━━━━━──────────── loss 5.6158 lr 4.80e-03 |g| 0.219 1.46M tok/s + 380/1143 ━━━━━━──────────── loss 5.6294 lr 4.75e-03 |g| 0.164 1.46M tok/s + 390/1143 ━━━━━━──────────── loss 5.5444 lr 4.69e-03 |g| 0.165 1.46M tok/s + 400/1143 ━━━━━━──────────── loss 5.5851 lr 4.64e-03 |g| 0.179 1.46M tok/s + 410/1143 ━━━━━━──────────── loss 5.5908 lr 4.58e-03 |g| 0.177 1.46M tok/s + 420/1143 ━━━━━━━─────────── loss 5.4625 lr 4.52e-03 |g| 0.169 1.47M tok/s + 430/1143 ━━━━━━━─────────── loss 5.4893 lr 4.45e-03 |g| 0.202 1.47M tok/s + 440/1143 ━━━━━━━─────────── loss 5.4966 lr 4.39e-03 |g| 0.178 1.47M tok/s + 450/1143 ━━━━━━━─────────── loss 5.3821 lr 4.33e-03 |g| 0.181 1.47M tok/s + 460/1143 ━━━━━━━─────────── loss 5.4528 lr 4.26e-03 |g| 0.203 1.47M tok/s + 470/1143 ━━━━━━━─────────── loss 5.3480 lr 4.19e-03 |g| 0.205 1.47M tok/s + 480/1143 ━━━━━━━━────────── loss 5.3460 lr 4.13e-03 |g| 0.171 1.47M tok/s + 490/1143 ━━━━━━━━────────── loss 5.3266 lr 4.06e-03 |g| 0.190 1.47M tok/s + 500/1143 ━━━━━━━━────────── loss 5.2919 lr 3.99e-03 |g| 0.142 1.47M tok/s + 510/1143 ━━━━━━━━────────── loss 5.2400 lr 3.92e-03 |g| 0.182 1.47M tok/s + 520/1143 ━━━━━━━━────────── loss 5.2860 lr 3.85e-03 |g| 0.179 1.47M tok/s + 530/1143 ━━━━━━━━────────── loss 5.1889 lr 3.77e-03 |g| 0.178 1.47M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.2740 lr 3.70e-03 |g| 0.158 1.47M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.1808 lr 3.63e-03 |g| 0.149 1.47M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.2303 lr 3.55e-03 |g| 0.137 1.47M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.1418 lr 3.48e-03 |g| 0.229 1.47M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.1278 lr 3.41e-03 |g| 0.117 1.47M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.1493 lr 3.33e-03 |g| 0.166 1.48M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.0967 lr 3.25e-03 |g| 0.135 1.48M tok/s + 610/1143 ━━━━━━━━━━──────── loss 5.0413 lr 3.18e-03 |g| 0.182 1.48M tok/s + 620/1143 ━━━━━━━━━━──────── loss 5.0565 lr 3.10e-03 |g| 0.121 1.48M tok/s + 630/1143 ━━━━━━━━━━──────── loss 5.0741 lr 3.03e-03 |g| 0.116 1.48M tok/s + 640/1143 ━━━━━━━━━━──────── loss 5.0775 lr 2.95e-03 |g| 0.136 1.48M tok/s + 650/1143 ━━━━━━━━━━──────── loss 5.0173 lr 2.88e-03 |g| 0.127 1.48M tok/s + 660/1143 ━━━━━━━━━━──────── loss 5.0147 lr 2.80e-03 |g| 0.115 1.48M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.9782 lr 2.72e-03 |g| 0.129 1.48M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.9478 lr 2.65e-03 |g| 0.148 1.48M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.9731 lr 2.57e-03 |g| 0.190 1.48M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.9192 lr 2.50e-03 |g| 0.141 1.48M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.9104 lr 2.43e-03 |g| 0.129 1.48M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.9683 lr 2.35e-03 |g| 0.136 1.48M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.8929 lr 2.28e-03 |g| 0.161 1.48M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.8728 lr 2.21e-03 |g| 0.155 1.48M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.8864 lr 2.14e-03 |g| 0.189 1.48M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.8822 lr 2.07e-03 |g| 0.153 1.48M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.7903 lr 2.00e-03 |g| 0.148 1.48M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.7879 lr 1.93e-03 |g| 0.148 1.48M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.7001 lr 1.86e-03 |g| 0.143 1.48M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.8567 lr 1.80e-03 |g| 0.122 1.48M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.7606 lr 1.73e-03 |g| 0.113 1.48M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.7760 lr 1.67e-03 |g| 0.144 1.48M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.6915 lr 1.60e-03 |g| 0.132 1.48M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.6993 lr 1.54e-03 |g| 0.138 1.48M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.6788 lr 1.48e-03 |g| 0.134 1.48M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.6797 lr 1.42e-03 |g| 0.129 1.48M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.6754 lr 1.37e-03 |g| 0.129 1.48M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.6469 lr 1.31e-03 |g| 0.156 1.48M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.6896 lr 1.26e-03 |g| 0.133 1.48M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.6748 lr 1.21e-03 |g| 0.128 1.48M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.6521 lr 1.16e-03 |g| 0.125 1.48M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.6823 lr 1.11e-03 |g| 0.113 1.48M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.6447 lr 1.06e-03 |g| 0.133 1.48M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.5973 lr 1.01e-03 |g| 0.121 1.48M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.5509 lr 9.72e-04 |g| 0.140 1.48M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.6176 lr 9.30e-04 |g| 0.130 1.48M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.6678 lr 8.91e-04 |g| 0.125 1.48M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.5674 lr 8.54e-04 |g| 0.133 1.49M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.6094 lr 8.19e-04 |g| 0.129 1.49M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.6025 lr 7.86e-04 |g| 0.118 1.49M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.5467 lr 7.55e-04 |g| 0.125 1.49M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.5577 lr 7.26e-04 |g| 0.112 1.49M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.6099 lr 6.99e-04 |g| 0.118 1.49M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.6027 lr 6.74e-04 |g| 0.133 1.49M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5345 lr 6.52e-04 |g| 0.120 1.49M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4716 lr 6.32e-04 |g| 0.108 1.49M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5644 lr 6.14e-04 |g| 0.112 1.49M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5459 lr 5.98e-04 |g| 0.126 1.49M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5010 lr 5.85e-04 |g| 0.108 1.49M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5503 lr 5.74e-04 |g| 0.125 1.49M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4995 lr 5.65e-04 |g| 0.120 1.49M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.5058 lr 5.59e-04 |g| 0.117 1.49M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4279 lr 5.54e-04 |g| 0.127 1.49M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4738 lr 5.53e-04 |g| 0.113 1.49M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.4403 lr 5.52e-04 |g| 0.108 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.488s (compilation excluded) + validation loss 4.5082 in 0.502s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..6ca28196ed24d523a9296da95ce3787dc74f014e --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-8-s1339/stdout.log @@ -0,0 +1 @@ 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11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..6dbe325c76e1a8923845f25f18f0f618bac26d65 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stderr.log @@ -0,0 +1,170 @@ +E0819 08:36:05.136690 3238949 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:36:05.136884 3337800 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:36:05.137039 3291850 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:36:05.137455 62149 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 31.98s, eval in 8.20s; periodic validation disabled + 1/1143 ────────────────── loss 10.9059 lr 2.42e-05 |g| 3.578 827.90K tok/s + 10/1143 ────────────────── loss 9.8955 lr 2.42e-04 |g| 1.610 724.36K tok/s + 20/1143 ────────────────── loss 8.6635 lr 4.85e-04 |g| 1.595 977.06K tok/s + 30/1143 ────────────────── loss 7.6556 lr 7.27e-04 |g| 1.090 1.11M tok/s + 40/1143 ━───────────────── loss 7.6696 lr 9.69e-04 |g| 0.544 1.18M tok/s + 50/1143 ━───────────────── loss 7.5637 lr 1.21e-03 |g| 0.374 1.24M tok/s + 60/1143 ━───────────────── loss 7.4622 lr 1.45e-03 |g| 2.180 1.27M tok/s + 70/1143 ━───────────────── loss 7.3872 lr 1.70e-03 |g| 0.417 1.30M tok/s + 80/1143 ━───────────────── loss 7.2845 lr 1.94e-03 |g| 0.850 1.32M tok/s + 90/1143 ━───────────────── loss 7.0982 lr 2.18e-03 |g| 0.868 1.34M tok/s + 100/1143 ━━──────────────── loss 6.9316 lr 2.42e-03 |g| 0.534 1.36M tok/s + 110/1143 ━━──────────────── loss 6.7931 lr 2.67e-03 |g| 0.357 1.37M tok/s + 120/1143 ━━──────────────── loss 6.7110 lr 2.76e-03 |g| 0.424 1.38M tok/s + 130/1143 ━━──────────────── loss 6.7120 lr 2.76e-03 |g| 0.542 1.39M tok/s + 140/1143 ━━──────────────── loss 6.7219 lr 2.76e-03 |g| 0.598 1.39M tok/s + 150/1143 ━━──────────────── loss 6.4993 lr 2.75e-03 |g| 0.258 1.40M tok/s + 160/1143 ━━━─────────────── loss 6.4903 lr 2.75e-03 |g| 0.335 1.41M tok/s + 170/1143 ━━━─────────────── loss 6.3769 lr 2.74e-03 |g| 0.378 1.41M tok/s + 180/1143 ━━━─────────────── loss 6.3734 lr 2.74e-03 |g| 0.376 1.42M tok/s + 190/1143 ━━━─────────────── loss 6.2606 lr 2.73e-03 |g| 0.453 1.42M tok/s + 200/1143 ━━━─────────────── loss 6.2783 lr 2.72e-03 |g| 0.236 1.42M tok/s + 210/1143 ━━━─────────────── loss 6.1803 lr 2.71e-03 |g| 0.378 1.43M tok/s + 220/1143 ━━━─────────────── loss 6.1855 lr 2.70e-03 |g| 0.337 1.43M tok/s + 230/1143 ━━━━────────────── loss 6.1316 lr 2.68e-03 |g| 0.271 1.43M tok/s + 240/1143 ━━━━────────────── loss 6.1752 lr 2.67e-03 |g| 0.506 1.44M tok/s + 250/1143 ━━━━────────────── loss 5.9516 lr 2.66e-03 |g| 0.439 1.44M tok/s + 260/1143 ━━━━────────────── loss 6.0110 lr 2.64e-03 |g| 0.372 1.44M tok/s + 270/1143 ━━━━────────────── loss 5.9072 lr 2.62e-03 |g| 0.317 1.44M tok/s + 280/1143 ━━━━────────────── loss 5.8429 lr 2.61e-03 |g| 0.241 1.45M tok/s + 290/1143 ━━━━━───────────── loss 5.9195 lr 2.59e-03 |g| 0.509 1.45M tok/s + 300/1143 ━━━━━───────────── loss 5.7686 lr 2.57e-03 |g| 0.285 1.45M tok/s + 310/1143 ━━━━━───────────── loss 5.7634 lr 2.55e-03 |g| 0.251 1.45M tok/s + 320/1143 ━━━━━───────────── loss 5.7434 lr 2.52e-03 |g| 0.358 1.45M tok/s + 330/1143 ━━━━━───────────── loss 5.6366 lr 2.50e-03 |g| 0.188 1.45M tok/s + 340/1143 ━━━━━───────────── loss 5.6674 lr 2.48e-03 |g| 0.215 1.45M tok/s + 350/1143 ━━━━━━──────────── loss 5.6372 lr 2.45e-03 |g| 0.315 1.46M tok/s + 360/1143 ━━━━━━──────────── loss 5.6957 lr 2.43e-03 |g| 0.349 1.46M tok/s + 370/1143 ━━━━━━──────────── loss 5.6263 lr 2.40e-03 |g| 0.206 1.46M tok/s + 380/1143 ━━━━━━──────────── loss 5.6194 lr 2.37e-03 |g| 0.254 1.46M tok/s + 390/1143 ━━━━━━──────────── loss 5.5551 lr 2.35e-03 |g| 0.254 1.46M tok/s + 400/1143 ━━━━━━──────────── loss 5.6141 lr 2.32e-03 |g| 0.234 1.46M tok/s + 410/1143 ━━━━━━──────────── loss 5.4923 lr 2.29e-03 |g| 0.236 1.46M tok/s + 420/1143 ━━━━━━━─────────── loss 5.4988 lr 2.26e-03 |g| 0.270 1.46M tok/s + 430/1143 ━━━━━━━─────────── loss 5.5021 lr 2.23e-03 |g| 0.302 1.46M tok/s + 440/1143 ━━━━━━━─────────── loss 5.4660 lr 2.20e-03 |g| 0.257 1.46M tok/s + 450/1143 ━━━━━━━─────────── loss 5.3292 lr 2.16e-03 |g| 0.216 1.47M tok/s + 460/1143 ━━━━━━━─────────── loss 5.4049 lr 2.13e-03 |g| 0.271 1.47M tok/s + 470/1143 ━━━━━━━─────────── loss 5.3367 lr 2.10e-03 |g| 0.229 1.47M tok/s + 480/1143 ━━━━━━━━────────── loss 5.3392 lr 2.06e-03 |g| 0.301 1.47M tok/s + 490/1143 ━━━━━━━━────────── loss 5.3273 lr 2.03e-03 |g| 0.214 1.47M tok/s + 500/1143 ━━━━━━━━────────── loss 5.3062 lr 1.99e-03 |g| 0.262 1.47M tok/s + 510/1143 ━━━━━━━━────────── loss 5.2266 lr 1.96e-03 |g| 0.254 1.47M tok/s + 520/1143 ━━━━━━━━────────── loss 5.1809 lr 1.92e-03 |g| 0.211 1.47M tok/s + 530/1143 ━━━━━━━━────────── loss 5.2727 lr 1.89e-03 |g| 0.180 1.47M tok/s + 540/1143 ━━━━━━━━━───────── loss 5.2152 lr 1.85e-03 |g| 0.256 1.47M tok/s + 550/1143 ━━━━━━━━━───────── loss 5.2234 lr 1.81e-03 |g| 0.226 1.47M tok/s + 560/1143 ━━━━━━━━━───────── loss 5.1678 lr 1.78e-03 |g| 0.293 1.47M tok/s + 570/1143 ━━━━━━━━━───────── loss 5.2238 lr 1.74e-03 |g| 0.205 1.47M tok/s + 580/1143 ━━━━━━━━━───────── loss 5.2454 lr 1.70e-03 |g| 0.182 1.47M tok/s + 590/1143 ━━━━━━━━━───────── loss 5.1559 lr 1.66e-03 |g| 0.166 1.47M tok/s + 600/1143 ━━━━━━━━━───────── loss 5.0929 lr 1.63e-03 |g| 0.294 1.47M tok/s + 610/1143 ━━━━━━━━━━──────── loss 5.1409 lr 1.59e-03 |g| 0.209 1.47M tok/s + 620/1143 ━━━━━━━━━━──────── loss 5.0318 lr 1.55e-03 |g| 0.201 1.48M tok/s + 630/1143 ━━━━━━━━━━──────── loss 5.0235 lr 1.51e-03 |g| 0.206 1.48M tok/s + 640/1143 ━━━━━━━━━━──────── loss 5.0245 lr 1.48e-03 |g| 0.239 1.48M tok/s + 650/1143 ━━━━━━━━━━──────── loss 5.0188 lr 1.44e-03 |g| 0.171 1.48M tok/s + 660/1143 ━━━━━━━━━━──────── loss 5.0944 lr 1.40e-03 |g| 0.209 1.48M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.9844 lr 1.36e-03 |g| 0.205 1.48M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 5.0759 lr 1.32e-03 |g| 0.190 1.48M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.9710 lr 1.29e-03 |g| 0.198 1.48M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.9424 lr 1.25e-03 |g| 0.223 1.48M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.9244 lr 1.21e-03 |g| 0.208 1.48M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.9386 lr 1.18e-03 |g| 0.158 1.48M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.9623 lr 1.14e-03 |g| 0.166 1.48M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.8268 lr 1.10e-03 |g| 0.193 1.48M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.8733 lr 1.07e-03 |g| 0.201 1.48M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.8645 lr 1.03e-03 |g| 0.197 1.48M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.8329 lr 9.99e-04 |g| 0.194 1.48M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.9008 lr 9.65e-04 |g| 0.232 1.48M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.8949 lr 9.31e-04 |g| 0.190 1.48M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.8033 lr 8.98e-04 |g| 0.169 1.48M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.7788 lr 8.65e-04 |g| 0.179 1.48M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.8326 lr 8.33e-04 |g| 0.182 1.48M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.8743 lr 8.02e-04 |g| 0.171 1.48M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.7509 lr 7.71e-04 |g| 0.184 1.48M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.8155 lr 7.41e-04 |g| 0.177 1.48M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.7156 lr 7.12e-04 |g| 0.180 1.48M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.7771 lr 6.84e-04 |g| 0.146 1.48M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.7383 lr 6.56e-04 |g| 0.164 1.48M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.8731 lr 6.29e-04 |g| 0.180 1.48M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.7885 lr 6.03e-04 |g| 0.163 1.48M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.8196 lr 5.78e-04 |g| 0.192 1.48M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.7679 lr 5.53e-04 |g| 0.147 1.48M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.7652 lr 5.30e-04 |g| 0.157 1.48M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.7275 lr 5.07e-04 |g| 0.158 1.48M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.6932 lr 4.86e-04 |g| 0.147 1.48M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.7876 lr 4.65e-04 |g| 0.192 1.48M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.6600 lr 4.46e-04 |g| 0.147 1.48M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.7321 lr 4.27e-04 |g| 0.161 1.48M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.7186 lr 4.09e-04 |g| 0.155 1.48M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.6328 lr 3.93e-04 |g| 0.158 1.48M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.7157 lr 3.77e-04 |g| 0.137 1.48M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.6633 lr 3.63e-04 |g| 0.160 1.49M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.6590 lr 3.49e-04 |g| 0.163 1.49M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.6881 lr 3.37e-04 |g| 0.169 1.49M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6377 lr 3.26e-04 |g| 0.154 1.49M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6208 lr 3.16e-04 |g| 0.161 1.49M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6165 lr 3.07e-04 |g| 0.154 1.49M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6036 lr 2.99e-04 |g| 0.148 1.49M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6871 lr 2.92e-04 |g| 0.173 1.49M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.6732 lr 2.87e-04 |g| 0.166 1.49M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.5832 lr 2.83e-04 |g| 0.167 1.49M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.6350 lr 2.79e-04 |g| 0.154 1.49M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.5176 lr 2.77e-04 |g| 0.161 1.49M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.6040 lr 2.76e-04 |g| 0.146 1.49M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.6495 lr 2.76e-04 |g| 0.161 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.559s (compilation excluded) + validation loss 4.6214 in 0.498s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..3e7370146c4cd8445b236898d181d013ca94bf18 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1337/stdout.log @@ -0,0 +1 @@ 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+ 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..d1ed3199a2d5fd8b0b62d67f348a4d05405adc38 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 08:41:30.387915 3297375 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:41:30.387922 3244435 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:41:30.388904 3343320 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:41:30.392674 68479 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 30.13s, eval in 7.41s; periodic validation disabled + 1/1143 ────────────────── loss 10.8844 lr 2.42e-05 |g| 3.366 121.79K tok/s + 10/1143 ────────────────── loss 9.9003 lr 2.42e-04 |g| 1.600 481.01K tok/s + 20/1143 ────────────────── loss 8.6809 lr 4.85e-04 |g| 1.532 728.53K tok/s + 30/1143 ────────────────── loss 7.6548 lr 7.27e-04 |g| 0.959 879.36K tok/s + 40/1143 ━───────────────── loss 7.5611 lr 9.69e-04 |g| 0.699 980.86K tok/s + 50/1143 ━───────────────── loss 7.2937 lr 1.21e-03 |g| 0.658 1.05M tok/s + 60/1143 ━───────────────── loss 7.0726 lr 1.45e-03 |g| 1.151 1.11M tok/s + 70/1143 ━───────────────── loss 6.9256 lr 1.70e-03 |g| 1.033 1.15M tok/s + 80/1143 ━───────────────── loss 7.4123 lr 1.94e-03 |g| 4.839 1.19M tok/s + 90/1143 ━───────────────── loss 6.9041 lr 2.18e-03 |g| 1.454 1.21M tok/s + 100/1143 ━━──────────────── loss 6.6161 lr 2.42e-03 |g| 0.457 1.24M tok/s + 110/1143 ━━──────────────── loss 6.5159 lr 2.67e-03 |g| 0.483 1.26M tok/s + 120/1143 ━━──────────────── loss 6.4778 lr 2.76e-03 |g| 1.087 1.28M tok/s + 130/1143 ━━──────────────── loss 6.3319 lr 2.76e-03 |g| 0.508 1.29M tok/s + 140/1143 ━━──────────────── loss 6.2918 lr 2.76e-03 |g| 0.545 1.30M tok/s + 150/1143 ━━──────────────── loss 6.1930 lr 2.75e-03 |g| 0.403 1.31M tok/s + 160/1143 ━━━─────────────── loss 6.1572 lr 2.75e-03 |g| 0.456 1.32M tok/s + 170/1143 ━━━─────────────── loss 6.0638 lr 2.74e-03 |g| 0.578 1.33M tok/s + 180/1143 ━━━─────────────── loss 5.9522 lr 2.74e-03 |g| 0.273 1.34M tok/s + 190/1143 ━━━─────────────── loss 5.9532 lr 2.73e-03 |g| 0.516 1.35M tok/s + 200/1143 ━━━─────────────── loss 5.7522 lr 2.72e-03 |g| 0.422 1.36M tok/s + 210/1143 ━━━─────────────── loss 5.7635 lr 2.71e-03 |g| 0.628 1.36M tok/s + 220/1143 ━━━─────────────── loss 5.7398 lr 2.70e-03 |g| 0.453 1.37M tok/s + 230/1143 ━━━━────────────── loss 5.6702 lr 2.68e-03 |g| 0.355 1.37M tok/s + 240/1143 ━━━━────────────── loss 5.5843 lr 2.67e-03 |g| 0.352 1.38M tok/s + 250/1143 ━━━━────────────── loss 5.6338 lr 2.66e-03 |g| 0.376 1.38M tok/s + 260/1143 ━━━━────────────── loss 5.4968 lr 2.64e-03 |g| 0.286 1.39M tok/s + 270/1143 ━━━━────────────── loss 5.5138 lr 2.62e-03 |g| 0.320 1.39M tok/s + 280/1143 ━━━━────────────── loss 5.5007 lr 2.61e-03 |g| 0.417 1.39M tok/s + 290/1143 ━━━━━───────────── loss 5.3820 lr 2.59e-03 |g| 0.560 1.40M tok/s + 300/1143 ━━━━━───────────── loss 5.3669 lr 2.57e-03 |g| 0.415 1.40M tok/s + 310/1143 ━━━━━───────────── loss 5.4052 lr 2.55e-03 |g| 0.343 1.40M tok/s + 320/1143 ━━━━━───────────── loss 5.4277 lr 2.52e-03 |g| 0.300 1.41M tok/s + 330/1143 ━━━━━───────────── loss 5.2593 lr 2.50e-03 |g| 0.397 1.41M tok/s + 340/1143 ━━━━━───────────── loss 5.2285 lr 2.48e-03 |g| 0.374 1.41M tok/s + 350/1143 ━━━━━━──────────── loss 5.3094 lr 2.45e-03 |g| 0.492 1.41M tok/s + 360/1143 ━━━━━━──────────── loss 5.2381 lr 2.43e-03 |g| 0.359 1.42M tok/s + 370/1143 ━━━━━━──────────── loss 5.1598 lr 2.40e-03 |g| 0.265 1.42M tok/s + 380/1143 ━━━━━━──────────── loss 5.1269 lr 2.37e-03 |g| 0.348 1.42M tok/s + 390/1143 ━━━━━━──────────── loss 5.0648 lr 2.35e-03 |g| 0.303 1.42M tok/s + 400/1143 ━━━━━━──────────── loss 5.1082 lr 2.32e-03 |g| 0.391 1.43M tok/s + 410/1143 ━━━━━━──────────── loss 5.1033 lr 2.29e-03 |g| 0.275 1.43M tok/s + 420/1143 ━━━━━━━─────────── loss 5.0172 lr 2.26e-03 |g| 0.399 1.43M tok/s + 430/1143 ━━━━━━━─────────── loss 5.1023 lr 2.23e-03 |g| 0.348 1.43M tok/s + 440/1143 ━━━━━━━─────────── loss 5.0347 lr 2.20e-03 |g| 0.384 1.43M tok/s + 450/1143 ━━━━━━━─────────── loss 4.9865 lr 2.16e-03 |g| 0.218 1.43M tok/s + 460/1143 ━━━━━━━─────────── loss 5.0135 lr 2.13e-03 |g| 0.305 1.43M tok/s + 470/1143 ━━━━━━━─────────── loss 4.9114 lr 2.10e-03 |g| 0.318 1.44M tok/s + 480/1143 ━━━━━━━━────────── loss 4.9784 lr 2.06e-03 |g| 0.312 1.44M tok/s + 490/1143 ━━━━━━━━────────── loss 4.9337 lr 2.03e-03 |g| 0.317 1.44M tok/s + 500/1143 ━━━━━━━━────────── loss 4.9121 lr 1.99e-03 |g| 0.317 1.44M tok/s + 510/1143 ━━━━━━━━────────── loss 4.9097 lr 1.96e-03 |g| 0.342 1.44M tok/s + 520/1143 ━━━━━━━━────────── loss 4.8481 lr 1.92e-03 |g| 0.337 1.44M tok/s + 530/1143 ━━━━━━━━────────── loss 4.9150 lr 1.89e-03 |g| 0.278 1.44M tok/s + 540/1143 ━━━━━━━━━───────── loss 4.7598 lr 1.85e-03 |g| 0.265 1.44M tok/s + 550/1143 ━━━━━━━━━───────── loss 4.7905 lr 1.81e-03 |g| 0.233 1.44M tok/s + 560/1143 ━━━━━━━━━───────── loss 4.8287 lr 1.78e-03 |g| 0.288 1.45M tok/s + 570/1143 ━━━━━━━━━───────── loss 4.7656 lr 1.74e-03 |g| 0.222 1.45M tok/s + 580/1143 ━━━━━━━━━───────── loss 4.7821 lr 1.70e-03 |g| 0.258 1.45M tok/s + 590/1143 ━━━━━━━━━───────── loss 4.7522 lr 1.66e-03 |g| 0.249 1.45M tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7455 lr 1.63e-03 |g| 0.293 1.45M tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.7172 lr 1.59e-03 |g| 0.210 1.45M tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7166 lr 1.55e-03 |g| 0.297 1.45M tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7001 lr 1.51e-03 |g| 0.329 1.45M tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.6271 lr 1.48e-03 |g| 0.210 1.45M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.6120 lr 1.44e-03 |g| 0.267 1.45M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.6208 lr 1.40e-03 |g| 0.305 1.45M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6312 lr 1.36e-03 |g| 0.279 1.45M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.7590 lr 1.32e-03 |g| 0.294 1.46M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.5748 lr 1.29e-03 |g| 0.222 1.46M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.5216 lr 1.25e-03 |g| 0.266 1.46M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6105 lr 1.21e-03 |g| 0.190 1.46M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.5403 lr 1.18e-03 |g| 0.231 1.46M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.5749 lr 1.14e-03 |g| 0.280 1.46M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.4458 lr 1.10e-03 |g| 0.332 1.46M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.4769 lr 1.07e-03 |g| 0.181 1.46M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.4448 lr 1.03e-03 |g| 0.298 1.46M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.4575 lr 9.99e-04 |g| 0.256 1.46M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.4992 lr 9.65e-04 |g| 0.219 1.46M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.4587 lr 9.31e-04 |g| 0.218 1.46M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.5033 lr 8.98e-04 |g| 0.204 1.46M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4137 lr 8.65e-04 |g| 0.223 1.46M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.3879 lr 8.33e-04 |g| 0.191 1.46M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.4214 lr 8.02e-04 |g| 0.241 1.46M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.3952 lr 7.71e-04 |g| 0.205 1.46M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.3872 lr 7.41e-04 |g| 0.243 1.46M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.3891 lr 7.12e-04 |g| 0.208 1.46M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.4862 lr 6.84e-04 |g| 0.193 1.46M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.3929 lr 6.56e-04 |g| 0.188 1.47M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.3896 lr 6.29e-04 |g| 0.197 1.47M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.3570 lr 6.03e-04 |g| 0.216 1.47M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.3206 lr 5.78e-04 |g| 0.208 1.47M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.3438 lr 5.53e-04 |g| 0.182 1.47M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.3440 lr 5.30e-04 |g| 0.210 1.47M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3158 lr 5.07e-04 |g| 0.191 1.47M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3153 lr 4.86e-04 |g| 0.188 1.47M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.2854 lr 4.65e-04 |g| 0.168 1.47M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3553 lr 4.46e-04 |g| 0.183 1.47M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3063 lr 4.27e-04 |g| 0.202 1.47M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.2651 lr 4.09e-04 |g| 0.191 1.47M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.2737 lr 3.93e-04 |g| 0.175 1.47M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3039 lr 3.77e-04 |g| 0.179 1.47M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2785 lr 3.63e-04 |g| 0.176 1.47M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3758 lr 3.49e-04 |g| 0.184 1.47M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.2574 lr 3.37e-04 |g| 0.171 1.47M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1892 lr 3.26e-04 |g| 0.170 1.47M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2849 lr 3.16e-04 |g| 0.185 1.47M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2615 lr 3.07e-04 |g| 0.178 1.47M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2384 lr 2.99e-04 |g| 0.180 1.47M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2807 lr 2.92e-04 |g| 0.168 1.47M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2661 lr 2.87e-04 |g| 0.167 1.47M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2819 lr 2.83e-04 |g| 0.189 1.47M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2749 lr 2.79e-04 |g| 0.172 1.47M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2608 lr 2.77e-04 |g| 0.165 1.47M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2698 lr 2.76e-04 |g| 0.172 1.47M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2964 lr 2.76e-04 |g| 0.191 1.47M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 203.426s (compilation excluded) + validation loss 4.2640 in 0.497s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..d965dd752ccdda4e56f8b78be0235e11df8cf7c4 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1338/stdout.log @@ -0,0 +1 @@ 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+ 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..c502c99b7f30274d4f2a43859994f9812a0da50b --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 08:46:52.724351 3249887 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:46:52.724007 3302847 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:46:52.724470 74890 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:46:52.724800 3348725 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221029.69T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.71s, eval in 7.25s; periodic validation disabled + 1/1143 ────────────────── loss 10.9095 lr 2.42e-05 |g| 3.887 1.13M tok/s + 10/1143 ────────────────── loss 9.8911 lr 2.42e-04 |g| 1.641 1.37M tok/s + 20/1143 ────────────────── loss 8.6482 lr 4.85e-04 |g| 1.500 1.43M tok/s + 30/1143 ────────────────── loss 7.7228 lr 7.27e-04 |g| 0.462 1.46M tok/s + 40/1143 ━───────────────── loss 7.6023 lr 9.69e-04 |g| 0.408 1.47M tok/s + 50/1143 ━───────────────── loss 7.4012 lr 1.21e-03 |g| 1.602 1.47M tok/s + 60/1143 ━───────────────── loss 7.1098 lr 1.45e-03 |g| 0.347 1.48M tok/s + 70/1143 ━───────────────── loss 7.0207 lr 1.70e-03 |g| 0.688 1.48M tok/s + 80/1143 ━───────────────── loss 6.9240 lr 1.94e-03 |g| 0.828 1.48M tok/s + 90/1143 ━───────────────── loss 6.7930 lr 2.18e-03 |g| 0.858 1.49M tok/s + 100/1143 ━━──────────────── loss 6.6142 lr 2.42e-03 |g| 1.575 1.49M tok/s + 110/1143 ━━──────────────── loss 6.7286 lr 2.67e-03 |g| 1.331 1.49M tok/s + 120/1143 ━━──────────────── loss 6.6037 lr 2.76e-03 |g| 0.414 1.49M tok/s + 130/1143 ━━──────────────── loss 6.4835 lr 2.76e-03 |g| 0.839 1.49M tok/s + 140/1143 ━━──────────────── loss 6.3213 lr 2.76e-03 |g| 0.393 1.49M tok/s + 150/1143 ━━──────────────── loss 6.2574 lr 2.75e-03 |g| 0.563 1.49M tok/s + 160/1143 ━━━─────────────── loss 6.2429 lr 2.75e-03 |g| 0.330 1.49M tok/s + 170/1143 ━━━─────────────── loss 6.2526 lr 2.74e-03 |g| 0.514 1.49M tok/s + 180/1143 ━━━─────────────── loss 5.9585 lr 2.74e-03 |g| 0.326 1.49M tok/s + 190/1143 ━━━─────────────── loss 6.0312 lr 2.73e-03 |g| 0.389 1.49M tok/s + 200/1143 ━━━─────────────── loss 5.9394 lr 2.72e-03 |g| 0.484 1.49M tok/s + 210/1143 ━━━─────────────── loss 5.8038 lr 2.71e-03 |g| 0.301 1.49M tok/s + 220/1143 ━━━─────────────── loss 5.8756 lr 2.70e-03 |g| 0.276 1.49M tok/s + 230/1143 ━━━━────────────── loss 5.9306 lr 2.68e-03 |g| 0.513 1.50M tok/s + 240/1143 ━━━━────────────── loss 5.8095 lr 2.67e-03 |g| 0.265 1.50M tok/s + 250/1143 ━━━━────────────── loss 5.6578 lr 2.66e-03 |g| 0.277 1.50M tok/s + 260/1143 ━━━━────────────── loss 5.7543 lr 2.64e-03 |g| 0.368 1.50M tok/s + 270/1143 ━━━━────────────── loss 5.6611 lr 2.62e-03 |g| 0.356 1.50M tok/s + 280/1143 ━━━━────────────── loss 5.6007 lr 2.61e-03 |g| 0.622 1.50M tok/s + 290/1143 ━━━━━───────────── loss 5.5606 lr 2.59e-03 |g| 0.323 1.50M tok/s + 300/1143 ━━━━━───────────── loss 5.5798 lr 2.57e-03 |g| 0.445 1.50M tok/s + 310/1143 ━━━━━───────────── loss 5.4574 lr 2.55e-03 |g| 0.320 1.50M tok/s + 320/1143 ━━━━━───────────── loss 5.4280 lr 2.52e-03 |g| 0.275 1.50M tok/s + 330/1143 ━━━━━───────────── loss 5.4989 lr 2.50e-03 |g| 0.483 1.50M tok/s + 340/1143 ━━━━━───────────── loss 5.4201 lr 2.48e-03 |g| 0.266 1.50M tok/s + 350/1143 ━━━━━━──────────── loss 5.3166 lr 2.45e-03 |g| 0.504 1.50M tok/s + 360/1143 ━━━━━━──────────── loss 5.3405 lr 2.43e-03 |g| 0.343 1.50M tok/s + 370/1143 ━━━━━━──────────── loss 5.2524 lr 2.40e-03 |g| 0.287 1.50M tok/s + 380/1143 ━━━━━━──────────── loss 5.2934 lr 2.37e-03 |g| 0.294 1.50M tok/s + 390/1143 ━━━━━━──────────── loss 5.2142 lr 2.35e-03 |g| 0.340 1.50M tok/s + 400/1143 ━━━━━━──────────── loss 5.2797 lr 2.32e-03 |g| 0.360 1.50M tok/s + 410/1143 ━━━━━━──────────── loss 5.2506 lr 2.29e-03 |g| 0.257 1.50M tok/s + 420/1143 ━━━━━━━─────────── loss 5.1481 lr 2.26e-03 |g| 0.335 1.50M tok/s + 430/1143 ━━━━━━━─────────── loss 5.1706 lr 2.23e-03 |g| 0.351 1.50M tok/s + 440/1143 ━━━━━━━─────────── loss 5.1902 lr 2.20e-03 |g| 0.333 1.50M tok/s + 450/1143 ━━━━━━━─────────── loss 5.0711 lr 2.16e-03 |g| 0.377 1.50M tok/s + 460/1143 ━━━━━━━─────────── loss 5.1322 lr 2.13e-03 |g| 0.315 1.50M tok/s + 470/1143 ━━━━━━━─────────── loss 5.0583 lr 2.10e-03 |g| 0.377 1.50M tok/s + 480/1143 ━━━━━━━━────────── loss 5.0338 lr 2.06e-03 |g| 0.278 1.50M tok/s + 490/1143 ━━━━━━━━────────── loss 4.9928 lr 2.03e-03 |g| 0.268 1.50M tok/s + 500/1143 ━━━━━━━━────────── loss 5.0341 lr 1.99e-03 |g| 0.319 1.50M tok/s + 510/1143 ━━━━━━━━────────── loss 4.9387 lr 1.96e-03 |g| 0.299 1.50M tok/s + 520/1143 ━━━━━━━━────────── loss 5.0018 lr 1.92e-03 |g| 0.303 1.50M tok/s + 530/1143 ━━━━━━━━────────── loss 4.9113 lr 1.89e-03 |g| 0.312 1.50M tok/s + 540/1143 ━━━━━━━━━───────── loss 4.9951 lr 1.85e-03 |g| 0.255 1.50M tok/s + 550/1143 ━━━━━━━━━───────── loss 4.9117 lr 1.81e-03 |g| 0.320 1.50M tok/s + 560/1143 ━━━━━━━━━───────── loss 4.9776 lr 1.78e-03 |g| 0.281 1.50M tok/s + 570/1143 ━━━━━━━━━───────── loss 4.8585 lr 1.74e-03 |g| 0.311 1.50M tok/s + 580/1143 ━━━━━━━━━───────── loss 4.8906 lr 1.70e-03 |g| 0.350 1.50M tok/s + 590/1143 ━━━━━━━━━───────── loss 4.8910 lr 1.66e-03 |g| 0.313 1.50M tok/s + 600/1143 ━━━━━━━━━───────── loss 4.8437 lr 1.63e-03 |g| 0.323 1.50M tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.7841 lr 1.59e-03 |g| 0.326 1.50M tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.8097 lr 1.55e-03 |g| 0.275 1.50M tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.8372 lr 1.51e-03 |g| 0.309 1.50M tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.8295 lr 1.48e-03 |g| 0.233 1.50M tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.7885 lr 1.44e-03 |g| 0.300 1.50M tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7870 lr 1.40e-03 |g| 0.284 1.50M tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.7624 lr 1.36e-03 |g| 0.320 1.50M tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.7195 lr 1.32e-03 |g| 0.195 1.50M tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.7404 lr 1.29e-03 |g| 0.225 1.50M tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.7125 lr 1.25e-03 |g| 0.283 1.50M tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6914 lr 1.21e-03 |g| 0.213 1.50M tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.7566 lr 1.18e-03 |g| 0.236 1.50M tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.7184 lr 1.14e-03 |g| 0.289 1.50M tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.6821 lr 1.10e-03 |g| 0.228 1.50M tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.6947 lr 1.07e-03 |g| 0.224 1.50M tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.7109 lr 1.03e-03 |g| 0.192 1.50M tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.6190 lr 9.99e-04 |g| 0.224 1.50M tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.6172 lr 9.65e-04 |g| 0.258 1.50M tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.5441 lr 9.31e-04 |g| 0.227 1.50M tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.7090 lr 8.98e-04 |g| 0.208 1.50M tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.5956 lr 8.65e-04 |g| 0.178 1.50M tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.6156 lr 8.33e-04 |g| 0.198 1.50M tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5516 lr 8.02e-04 |g| 0.199 1.50M tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.5500 lr 7.71e-04 |g| 0.200 1.50M tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.5446 lr 7.41e-04 |g| 0.206 1.50M tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.5336 lr 7.12e-04 |g| 0.214 1.50M tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.5345 lr 6.84e-04 |g| 0.224 1.50M tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.4964 lr 6.56e-04 |g| 0.192 1.50M tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.5427 lr 6.29e-04 |g| 0.199 1.50M tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.5416 lr 6.03e-04 |g| 0.207 1.50M tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.5106 lr 5.78e-04 |g| 0.177 1.50M tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.5408 lr 5.53e-04 |g| 0.204 1.50M tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.5185 lr 5.30e-04 |g| 0.209 1.50M tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.4573 lr 5.07e-04 |g| 0.185 1.50M tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.4122 lr 4.86e-04 |g| 0.179 1.50M tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4981 lr 4.65e-04 |g| 0.186 1.50M tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.5368 lr 4.46e-04 |g| 0.204 1.50M tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.4401 lr 4.27e-04 |g| 0.196 1.50M tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.4744 lr 4.09e-04 |g| 0.220 1.50M tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.4715 lr 3.93e-04 |g| 0.176 1.50M tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4190 lr 3.77e-04 |g| 0.192 1.50M tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.4330 lr 3.63e-04 |g| 0.191 1.50M tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.4855 lr 3.49e-04 |g| 0.204 1.50M tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.4758 lr 3.37e-04 |g| 0.188 1.50M tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4038 lr 3.26e-04 |g| 0.182 1.50M tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3455 lr 3.16e-04 |g| 0.197 1.50M tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4387 lr 3.07e-04 |g| 0.179 1.50M tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4208 lr 2.99e-04 |g| 0.204 1.50M tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3758 lr 2.92e-04 |g| 0.166 1.50M tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4406 lr 2.87e-04 |g| 0.192 1.50M tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3733 lr 2.83e-04 |g| 0.187 1.50M tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3793 lr 2.79e-04 |g| 0.185 1.50M tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3031 lr 2.77e-04 |g| 0.177 1.50M tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3525 lr 2.76e-04 |g| 0.208 1.50M tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3144 lr 2.76e-04 |g| 0.175 1.50M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 199.745s (compilation excluded) + validation loss 4.3872 in 0.506s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..33769c862aa17ef2ca12f4884d978e1e127fc555 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-9-s1339/stdout.log @@ -0,0 +1 @@ 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THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:08:17.630974 100197 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.25s, eval in 9.40s; periodic validation disabled + 1/571 ────────────────── loss 10.9061 lr 2.74e-04 |g| 3.623 978.07K tok/s + 10/571 ────────────────── loss 7.7584 lr 2.74e-03 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━━━━━───────────── loss 6.9085 lr 1.45e-02 |g| 0.422 1.47M tok/s + 160/571 ━━━━━───────────── loss 6.7123 lr 1.43e-02 |g| 0.186 1.47M tok/s + 170/571 ━━━━━───────────── loss 6.6711 lr 1.40e-02 |g| 0.210 1.48M tok/s + 180/571 ━━━━━━──────────── loss 6.6236 lr 1.37e-02 |g| 0.174 1.48M tok/s + 190/571 ━━━━━━──────────── loss 6.5412 lr 1.34e-02 |g| 0.188 1.48M tok/s + 200/571 ━━━━━━──────────── loss 6.5418 lr 1.31e-02 |g| 0.156 1.48M tok/s + 210/571 ━━━━━━━─────────── loss 6.4216 lr 1.28e-02 |g| 0.162 1.48M tok/s + 220/571 ━━━━━━━─────────── loss 6.4117 lr 1.24e-02 |g| 0.229 1.48M tok/s + 230/571 ━━━━━━━─────────── loss 6.3265 lr 1.20e-02 |g| 0.195 1.48M tok/s + 240/571 ━━━━━━━━────────── loss 6.2698 lr 1.17e-02 |g| 0.124 1.48M tok/s + 250/571 ━━━━━━━━────────── loss 6.2284 lr 1.13e-02 |g| 0.140 1.48M tok/s + 260/571 ━━━━━━━━────────── loss 6.2120 lr 1.09e-02 |g| 0.296 1.48M tok/s + 270/571 ━━━━━━━━━───────── loss 6.1329 lr 1.05e-02 |g| 0.080 1.48M tok/s + 280/571 ━━━━━━━━━───────── loss 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0.077 1.48M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.5877 lr 4.35e-03 |g| 0.103 1.48M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.5348 lr 4.02e-03 |g| 0.110 1.48M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5785 lr 3.70e-03 |g| 0.124 1.48M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5566 lr 3.40e-03 |g| 0.072 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.5138 lr 3.12e-03 |g| 0.091 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.5180 lr 2.86e-03 |g| 0.106 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.4999 lr 2.62e-03 |g| 0.068 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4537 lr 2.41e-03 |g| 0.075 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.3664 lr 2.21e-03 |g| 0.078 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.3893 lr 2.05e-03 |g| 0.076 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.4129 lr 1.90e-03 |g| 0.057 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.3549 lr 1.78e-03 |g| 0.103 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.3387 lr 1.69e-03 |g| 0.097 1.48M tok/s + 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..b431cc307dcf1aea971787f4dec28ce68cbd9950 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stderr.log @@ -0,0 +1,113 @@ +E0819 09:13:37.733989 3277195 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:13:37.735134 3330321 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:13:37.736972 3376057 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:13:37.738311 106568 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 27.86s, eval in 9.45s; periodic validation disabled + 1/571 ────────────────── loss 10.8830 lr 2.74e-04 |g| 3.483 1.06M tok/s + 10/571 ────────────────── loss 7.7288 lr 2.74e-03 |g| 0.375 1.06M tok/s + 20/571 ━───────────────── loss 7.7522 lr 5.48e-03 |g| 0.281 1.24M tok/s + 30/571 ━───────────────── loss 7.9028 lr 8.22e-03 |g| 1.521 1.31M tok/s + 40/571 ━───────────────── loss 7.7236 lr 1.10e-02 |g| 0.441 1.35M tok/s + 50/571 ━━──────────────── loss 7.7727 lr 1.37e-02 |g| 0.751 1.38M tok/s + 60/571 ━━──────────────── loss 7.7376 lr 1.56e-02 |g| 0.646 1.39M tok/s + 70/571 ━━──────────────── loss 7.7528 lr 1.56e-02 |g| 0.558 1.41M tok/s + 80/571 ━━━─────────────── loss 7.6499 lr 1.56e-02 |g| 0.399 1.42M tok/s + 90/571 ━━━─────────────── loss 7.5621 lr 1.55e-02 |g| 0.324 1.42M tok/s + 100/571 ━━━─────────────── loss 7.3695 lr 1.54e-02 |g| 0.375 1.43M tok/s + 110/571 ━━━─────────────── loss 7.3641 lr 1.53e-02 |g| 0.533 1.44M tok/s + 120/571 ━━━━────────────── loss 7.2372 lr 1.51e-02 |g| 0.339 1.44M tok/s + 130/571 ━━━━────────────── loss 7.0573 lr 1.49e-02 |g| 0.301 1.44M tok/s + 140/571 ━━━━────────────── loss 6.9423 lr 1.47e-02 |g| 0.237 1.45M tok/s + 150/571 ━━━━━───────────── loss 6.7826 lr 1.45e-02 |g| 0.106 1.45M tok/s + 160/571 ━━━━━───────────── loss 6.7640 lr 1.43e-02 |g| 0.220 1.45M tok/s + 170/571 ━━━━━───────────── loss 6.5969 lr 1.40e-02 |g| 0.170 1.45M tok/s + 180/571 ━━━━━━──────────── loss 6.5550 lr 1.37e-02 |g| 0.137 1.46M tok/s + 190/571 ━━━━━━──────────── loss 6.4548 lr 1.34e-02 |g| 0.133 1.46M tok/s + 200/571 ━━━━━━──────────── loss 6.4630 lr 1.31e-02 |g| 0.244 1.46M tok/s + 210/571 ━━━━━━━─────────── loss 6.3886 lr 1.28e-02 |g| 0.175 1.46M tok/s + 220/571 ━━━━━━━─────────── loss 6.3627 lr 1.24e-02 |g| 0.194 1.46M tok/s + 230/571 ━━━━━━━─────────── loss 6.3721 lr 1.20e-02 |g| 0.288 1.46M tok/s + 240/571 ━━━━━━━━────────── loss 6.2388 lr 1.17e-02 |g| 0.113 1.46M tok/s + 250/571 ━━━━━━━━────────── loss 6.2304 lr 1.13e-02 |g| 0.159 1.47M tok/s + 260/571 ━━━━━━━━────────── loss 6.2157 lr 1.09e-02 |g| 0.198 1.47M tok/s + 270/571 ━━━━━━━━━───────── loss 6.1221 lr 1.05e-02 |g| 0.137 1.47M tok/s + 280/571 ━━━━━━━━━───────── loss 6.1032 lr 1.00e-02 |g| 0.089 1.47M tok/s + 290/571 ━━━━━━━━━───────── loss 6.0463 lr 9.62e-03 |g| 0.112 1.47M tok/s + 300/571 ━━━━━━━━━───────── loss 6.0752 lr 9.19e-03 |g| 0.127 1.47M tok/s + 310/571 ━━━━━━━━━━──────── loss 6.0403 lr 8.77e-03 |g| 0.104 1.47M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.9364 lr 8.34e-03 |g| 0.185 1.47M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.9166 lr 7.91e-03 |g| 0.085 1.47M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.9912 lr 7.48e-03 |g| 0.126 1.47M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.8431 lr 7.06e-03 |g| 0.091 1.47M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.8294 lr 6.64e-03 |g| 0.153 1.47M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.7682 lr 6.23e-03 |g| 0.073 1.47M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.7714 lr 5.83e-03 |g| 0.228 1.47M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.7135 lr 5.44e-03 |g| 0.111 1.47M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.6905 lr 5.07e-03 |g| 0.084 1.47M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.6292 lr 4.70e-03 |g| 0.190 1.47M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.6591 lr 4.35e-03 |g| 0.067 1.47M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.6160 lr 4.02e-03 |g| 0.066 1.48M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5835 lr 3.70e-03 |g| 0.083 1.48M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5602 lr 3.40e-03 |g| 0.092 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.5558 lr 3.12e-03 |g| 0.084 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.4960 lr 2.86e-03 |g| 0.102 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.4458 lr 2.62e-03 |g| 0.071 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4849 lr 2.41e-03 |g| 0.075 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.4330 lr 2.21e-03 |g| 0.069 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.4136 lr 2.05e-03 |g| 0.058 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.3975 lr 1.90e-03 |g| 0.077 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.4109 lr 1.78e-03 |g| 0.067 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.3676 lr 1.69e-03 |g| 0.062 1.48M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.3809 lr 1.62e-03 |g| 0.065 1.48M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.3814 lr 1.58e-03 |g| 0.069 1.48M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.3489 lr 1.56e-03 |g| 0.070 1.48M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.3594 lr 1.56e-03 |g| 0.065 1.48M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 202.491s (compilation excluded) + validation loss 5.3782 in 1.021s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..3c4549bed1203e7fa1443162d3da47e66bdc9698 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1338/stdout.log @@ -0,0 +1 @@ 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..6f30b93ac216180e9a915453f76efcfb023b6b31 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stderr.log @@ -0,0 +1,113 @@ +E0819 09:18:59.721926 3381537 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:18:59.722658 3282660 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:18:59.723308 3335825 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:18:59.723333 112819 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.00s, eval in 9.28s; periodic validation disabled + 1/571 ────────────────── loss 10.9071 lr 2.74e-04 |g| 3.763 1.29M tok/s + 10/571 ────────────────── loss 7.7714 lr 2.74e-03 |g| 1.424 1.43M tok/s + 20/571 ━───────────────── loss 7.8009 lr 5.48e-03 |g| 0.245 1.46M tok/s + 30/571 ━───────────────── loss 7.8048 lr 8.22e-03 |g| 0.823 1.47M tok/s + 40/571 ━───────────────── loss 7.7375 lr 1.10e-02 |g| 0.930 1.47M tok/s + 50/571 ━━──────────────── loss 7.6308 lr 1.37e-02 |g| 0.486 1.48M tok/s + 60/571 ━━──────────────── loss 7.7064 lr 1.56e-02 |g| 0.491 1.48M tok/s + 70/571 ━━──────────────── loss 7.6115 lr 1.56e-02 |g| 0.330 1.48M tok/s + 80/571 ━━━─────────────── loss 7.4049 lr 1.56e-02 |g| 0.256 1.48M tok/s + 90/571 ━━━─────────────── loss 7.4141 lr 1.55e-02 |g| 0.749 1.48M tok/s + 100/571 ━━━─────────────── loss 7.2953 lr 1.54e-02 |g| 0.617 1.48M tok/s + 110/571 ━━━─────────────── loss 7.1582 lr 1.53e-02 |g| 0.397 1.48M tok/s + 120/571 ━━━━────────────── loss 6.8479 lr 1.51e-02 |g| 0.207 1.48M tok/s + 130/571 ━━━━────────────── loss 6.7250 lr 1.49e-02 |g| 0.203 1.48M tok/s + 140/571 ━━━━────────────── loss 6.6249 lr 1.47e-02 |g| 0.241 1.49M tok/s + 150/571 ━━━━━───────────── loss 6.6363 lr 1.45e-02 |g| 0.375 1.49M tok/s + 160/571 ━━━━━───────────── loss 6.5510 lr 1.43e-02 |g| 0.233 1.49M tok/s + 170/571 ━━━━━───────────── loss 6.4922 lr 1.40e-02 |g| 0.193 1.49M tok/s + 180/571 ━━━━━━──────────── loss 6.4195 lr 1.37e-02 |g| 0.172 1.49M tok/s + 190/571 ━━━━━━──────────── loss 6.3224 lr 1.34e-02 |g| 0.197 1.49M tok/s + 200/571 ━━━━━━──────────── loss 6.2850 lr 1.31e-02 |g| 0.271 1.49M tok/s + 210/571 ━━━━━━━─────────── loss 6.2371 lr 1.28e-02 |g| 0.140 1.49M tok/s + 220/571 ━━━━━━━─────────── loss 6.2723 lr 1.24e-02 |g| 0.193 1.49M tok/s + 230/571 ━━━━━━━─────────── loss 6.2831 lr 1.20e-02 |g| 0.135 1.49M tok/s + 240/571 ━━━━━━━━────────── loss 6.1267 lr 1.17e-02 |g| 0.193 1.49M tok/s + 250/571 ━━━━━━━━────────── loss 6.0866 lr 1.13e-02 |g| 0.157 1.49M tok/s + 260/571 ━━━━━━━━────────── loss 6.0676 lr 1.09e-02 |g| 0.145 1.49M tok/s + 270/571 ━━━━━━━━━───────── loss 6.0271 lr 1.05e-02 |g| 0.197 1.49M tok/s + 280/571 ━━━━━━━━━───────── loss 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0.148 1.49M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.5450 lr 4.35e-03 |g| 0.112 1.49M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.4778 lr 4.02e-03 |g| 0.109 1.49M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.4584 lr 3.70e-03 |g| 0.082 1.49M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.4394 lr 3.40e-03 |g| 0.091 1.49M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.4007 lr 3.12e-03 |g| 0.095 1.49M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.3898 lr 2.86e-03 |g| 0.075 1.49M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.3599 lr 2.62e-03 |g| 0.063 1.49M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.3505 lr 2.41e-03 |g| 0.078 1.49M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.3724 lr 2.21e-03 |g| 0.060 1.49M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.3584 lr 2.05e-03 |g| 0.091 1.49M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.3266 lr 1.90e-03 |g| 0.056 1.49M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.2548 lr 1.78e-03 |g| 0.097 1.49M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.2766 lr 1.69e-03 |g| 0.067 1.49M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.2789 lr 1.62e-03 |g| 0.064 1.49M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.2539 lr 1.58e-03 |g| 0.076 1.49M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.2306 lr 1.56e-03 |g| 0.060 1.49M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.2662 lr 1.56e-03 |g| 0.068 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.146s (compilation excluded) + validation loss 5.2494 in 1.015s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..821ce74c94a0eacca3e8225899dbdf412c47904e --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-7-s1339/stdout.log @@ -0,0 +1 @@ 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..85c1b1f9973caa4fb85d0797ee3af1f812a9f981 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stderr.log @@ -0,0 +1,113 @@ +E0819 08:52:13.506931 3308282 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:52:13.507403 3354143 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:52:13.507920 3255277 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:52:13.508661 81187 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.35s, eval in 9.47s; periodic validation disabled + 1/571 ────────────────── loss 10.9061 lr 1.37e-04 |g| 3.623 1.27M tok/s + 10/571 ────────────────── loss 8.3227 lr 1.37e-03 |g| 1.383 1.08M tok/s + 20/571 ━───────────────── loss 7.7316 lr 2.74e-03 |g| 0.258 1.25M tok/s + 30/571 ━───────────────── loss 7.7388 lr 4.11e-03 |g| 0.881 1.32M tok/s + 40/571 ━───────────────── loss 7.6339 lr 5.48e-03 |g| 0.554 1.36M tok/s + 50/571 ━━──────────────── loss 7.5871 lr 6.85e-03 |g| 0.486 1.38M tok/s + 60/571 ━━──────────────── loss 7.7901 lr 7.81e-03 |g| 1.311 1.40M tok/s + 70/571 ━━──────────────── loss 7.5280 lr 7.80e-03 |g| 0.637 1.41M tok/s + 80/571 ━━━─────────────── loss 7.3640 lr 7.78e-03 |g| 0.490 1.42M tok/s + 90/571 ━━━─────────────── loss 7.3324 lr 7.74e-03 |g| 0.571 1.43M tok/s + 100/571 ━━━─────────────── loss 7.1463 lr 7.69e-03 |g| 0.415 1.44M tok/s + 110/571 ━━━─────────────── loss 6.9358 lr 7.63e-03 |g| 0.403 1.44M tok/s + 120/571 ━━━━────────────── loss 6.8130 lr 7.56e-03 |g| 0.548 1.44M tok/s + 130/571 ━━━━────────────── loss 6.7380 lr 7.47e-03 |g| 0.351 1.45M tok/s + 140/571 ━━━━────────────── loss 6.6194 lr 7.37e-03 |g| 0.448 1.45M tok/s + 150/571 ━━━━━───────────── loss 6.4930 lr 7.26e-03 |g| 0.289 1.45M tok/s + 160/571 ━━━━━───────────── loss 6.3938 lr 7.14e-03 |g| 0.258 1.46M tok/s + 170/571 ━━━━━───────────── loss 6.3930 lr 7.01e-03 |g| 0.298 1.46M tok/s + 180/571 ━━━━━━──────────── loss 6.3099 lr 6.86e-03 |g| 0.368 1.46M tok/s + 190/571 ━━━━━━──────────── loss 6.2525 lr 6.71e-03 |g| 0.348 1.46M tok/s + 200/571 ━━━━━━──────────── loss 6.2259 lr 6.55e-03 |g| 0.264 1.46M tok/s + 210/571 ━━━━━━━─────────── loss 6.1037 lr 6.38e-03 |g| 0.292 1.46M tok/s + 220/571 ━━━━━━━─────────── loss 6.0615 lr 6.21e-03 |g| 0.234 1.46M tok/s + 230/571 ━━━━━━━─────────── loss 6.0115 lr 6.02e-03 |g| 0.397 1.47M tok/s + 240/571 ━━━━━━━━────────── loss 5.9453 lr 5.83e-03 |g| 0.179 1.47M tok/s + 250/571 ━━━━━━━━────────── loss 5.9526 lr 5.64e-03 |g| 0.288 1.47M tok/s + 260/571 ━━━━━━━━────────── loss 5.8890 lr 5.44e-03 |g| 0.280 1.47M tok/s + 270/571 ━━━━━━━━━───────── loss 5.8552 lr 5.23e-03 |g| 0.232 1.47M tok/s + 280/571 ━━━━━━━━━───────── loss 5.7711 lr 5.02e-03 |g| 0.185 1.47M tok/s + 290/571 ━━━━━━━━━───────── loss 5.8213 lr 4.81e-03 |g| 0.224 1.47M tok/s + 300/571 ━━━━━━━━━───────── loss 5.6813 lr 4.60e-03 |g| 0.158 1.47M tok/s + 310/571 ━━━━━━━━━━──────── loss 5.6674 lr 4.38e-03 |g| 0.164 1.47M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.6002 lr 4.17e-03 |g| 0.208 1.47M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.6789 lr 3.95e-03 |g| 0.137 1.47M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.6703 lr 3.74e-03 |g| 0.134 1.47M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.5360 lr 3.53e-03 |g| 0.152 1.47M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.5469 lr 3.32e-03 |g| 0.148 1.47M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.4969 lr 3.12e-03 |g| 0.217 1.47M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.4890 lr 2.92e-03 |g| 0.155 1.47M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.4776 lr 2.72e-03 |g| 0.144 1.48M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.3999 lr 2.53e-03 |g| 0.114 1.48M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.4245 lr 2.35e-03 |g| 0.152 1.48M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.3764 lr 2.18e-03 |g| 0.165 1.48M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.3118 lr 2.01e-03 |g| 0.178 1.48M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.3465 lr 1.85e-03 |g| 0.121 1.48M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.3480 lr 1.70e-03 |g| 0.126 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.3177 lr 1.56e-03 |g| 0.114 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.3178 lr 1.43e-03 |g| 0.098 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.3105 lr 1.31e-03 |g| 0.103 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.2704 lr 1.20e-03 |g| 0.092 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.1871 lr 1.11e-03 |g| 0.106 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.2153 lr 1.02e-03 |g| 0.091 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.2454 lr 9.51e-04 |g| 0.081 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.1821 lr 8.91e-04 |g| 0.112 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.1682 lr 8.44e-04 |g| 0.085 1.48M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.2033 lr 8.10e-04 |g| 0.086 1.48M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.2010 lr 7.89e-04 |g| 0.080 1.48M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.1900 lr 7.81e-04 |g| 0.075 1.48M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.1403 lr 7.81e-04 |g| 0.090 1.48M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 202.356s (compilation excluded) + validation loss 5.1825 in 1.009s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..516d80ac318e6a084be20bd2c41b42b1ef2933f7 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1337/stdout.log @@ -0,0 +1 @@ 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..1d03ef00acc129fbac3d8865f1dca80bd92579be --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stderr.log @@ -0,0 +1,113 @@ +E0819 08:57:37.005834 3359561 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:57:37.006339 3260779 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:57:37.007387 87514 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 08:57:37.012020 3313816 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 26.91s, eval in 9.37s; periodic validation disabled + 1/571 ────────────────── loss 10.8830 lr 1.37e-04 |g| 3.483 1.27M tok/s + 10/571 ────────────────── loss 10.0618 lr 1.37e-03 |g| 63.641 1.35M tok/s + 20/571 ━───────────────── loss 7.7075 lr 2.74e-03 |g| 0.198 1.42M tok/s + 30/571 ━───────────────── loss 7.7986 lr 4.11e-03 |g| 0.616 1.44M tok/s + 40/571 ━───────────────── loss 7.8767 lr 5.48e-03 |g| 0.984 1.45M tok/s + 50/571 ━━──────────────── loss 7.7556 lr 6.85e-03 |g| 0.246 1.46M tok/s + 60/571 ━━──────────────── loss 7.7500 lr 7.81e-03 |g| 0.278 1.46M tok/s + 70/571 ━━──────────────── loss 7.7753 lr 7.80e-03 |g| 2.297 1.47M tok/s + 80/571 ━━━─────────────── loss 7.6602 lr 7.78e-03 |g| 0.336 1.47M tok/s + 90/571 ━━━─────────────── loss 7.6019 lr 7.74e-03 |g| 0.284 1.47M tok/s + 100/571 ━━━─────────────── loss 7.4073 lr 7.69e-03 |g| 0.346 1.47M tok/s + 110/571 ━━━─────────────── loss 7.2718 lr 7.63e-03 |g| 0.369 1.48M tok/s + 120/571 ━━━━────────────── loss 7.1579 lr 7.56e-03 |g| 0.320 1.48M tok/s + 130/571 ━━━━────────────── loss 7.0079 lr 7.47e-03 |g| 0.334 1.48M tok/s + 140/571 ━━━━────────────── loss 7.0213 lr 7.37e-03 |g| 0.623 1.48M tok/s + 150/571 ━━━━━───────────── loss 6.8513 lr 7.26e-03 |g| 0.471 1.48M tok/s + 160/571 ━━━━━───────────── loss 6.7506 lr 7.14e-03 |g| 0.408 1.48M tok/s + 170/571 ━━━━━───────────── loss 6.5429 lr 7.01e-03 |g| 0.362 1.48M tok/s + 180/571 ━━━━━━──────────── loss 6.4748 lr 6.86e-03 |g| 0.222 1.48M tok/s + 190/571 ━━━━━━──────────── loss 6.3681 lr 6.71e-03 |g| 0.286 1.48M tok/s + 200/571 ━━━━━━──────────── loss 6.3539 lr 6.55e-03 |g| 0.421 1.48M tok/s + 210/571 ━━━━━━━─────────── loss 6.2232 lr 6.38e-03 |g| 0.190 1.48M tok/s + 220/571 ━━━━━━━─────────── loss 6.2182 lr 6.21e-03 |g| 0.268 1.48M tok/s + 230/571 ━━━━━━━─────────── loss 6.2501 lr 6.02e-03 |g| 0.214 1.48M tok/s + 240/571 ━━━━━━━━────────── loss 6.1175 lr 5.83e-03 |g| 0.215 1.48M tok/s + 250/571 ━━━━━━━━────────── loss 6.0819 lr 5.64e-03 |g| 0.153 1.48M tok/s + 260/571 ━━━━━━━━────────── loss 6.0213 lr 5.44e-03 |g| 0.177 1.48M tok/s + 270/571 ━━━━━━━━━───────── loss 5.9467 lr 5.23e-03 |g| 0.193 1.48M tok/s + 280/571 ━━━━━━━━━───────── loss 5.9810 lr 5.02e-03 |g| 0.224 1.48M tok/s + 290/571 ━━━━━━━━━───────── loss 5.9054 lr 4.81e-03 |g| 0.244 1.48M tok/s + 300/571 ━━━━━━━━━───────── loss 5.9097 lr 4.60e-03 |g| 0.249 1.48M tok/s + 310/571 ━━━━━━━━━━──────── loss 5.8903 lr 4.38e-03 |g| 0.172 1.48M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.8103 lr 4.17e-03 |g| 0.218 1.48M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.8007 lr 3.95e-03 |g| 0.161 1.48M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.8563 lr 3.74e-03 |g| 0.196 1.48M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.7480 lr 3.53e-03 |g| 0.172 1.49M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.7006 lr 3.32e-03 |g| 0.183 1.49M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.6725 lr 3.12e-03 |g| 0.149 1.49M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.6319 lr 2.92e-03 |g| 0.128 1.49M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.6166 lr 2.72e-03 |g| 0.145 1.49M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.6017 lr 2.53e-03 |g| 0.091 1.49M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.5611 lr 2.35e-03 |g| 0.204 1.49M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.5925 lr 2.18e-03 |g| 0.127 1.49M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.5450 lr 2.01e-03 |g| 0.120 1.49M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5117 lr 1.85e-03 |g| 0.084 1.49M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5058 lr 1.70e-03 |g| 0.154 1.49M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.4952 lr 1.56e-03 |g| 0.163 1.49M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.4399 lr 1.43e-03 |g| 0.145 1.49M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.3856 lr 1.31e-03 |g| 0.075 1.49M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4305 lr 1.20e-03 |g| 0.091 1.49M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.3810 lr 1.11e-03 |g| 0.109 1.49M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.3673 lr 1.02e-03 |g| 0.081 1.49M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.3561 lr 9.51e-04 |g| 0.096 1.49M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.3837 lr 8.91e-04 |g| 0.111 1.49M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.3365 lr 8.44e-04 |g| 0.087 1.49M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.3448 lr 8.10e-04 |g| 0.081 1.49M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.3500 lr 7.89e-04 |g| 0.097 1.49M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.3228 lr 7.81e-04 |g| 0.075 1.49M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.3287 lr 7.81e-04 |g| 0.079 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.383s (compilation excluded) + validation loss 5.3488 in 1.017s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..a4c7ccbb5be2e163b5e53954d1b63d7b9e74e89a --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1338/stdout.log @@ -0,0 +1 @@ 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..e3b3d00ca59c9cbc38b2979431a79cbaa7aafd1b --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stderr.log @@ -0,0 +1,113 @@ +E0819 09:02:55.784558 3319350 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:02:55.784726 3365098 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:02:55.784775 3266196 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:02:55.784930 93809 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 30.46s, eval in 10.15s; periodic validation disabled + 1/571 ────────────────── loss 10.9071 lr 1.37e-04 |g| 3.763 1.10M tok/s + 10/571 ────────────────── loss 8.4215 lr 1.37e-03 |g| 1.599 1.41M tok/s + 20/571 ━───────────────── loss 7.7704 lr 2.74e-03 |g| 0.444 1.45M tok/s + 30/571 ━───────────────── loss 7.7164 lr 4.11e-03 |g| 0.411 1.46M tok/s + 40/571 ━───────────────── loss 7.7892 lr 5.48e-03 |g| 0.794 1.47M tok/s + 50/571 ━━──────────────── loss 7.7423 lr 6.85e-03 |g| 0.310 1.47M tok/s + 60/571 ━━──────────────── loss 7.7428 lr 7.81e-03 |g| 0.336 1.48M tok/s + 70/571 ━━──────────────── loss 7.5953 lr 7.80e-03 |g| 0.474 1.48M tok/s + 80/571 ━━━─────────────── loss 7.8744 lr 7.78e-03 |g| 1.208 1.48M tok/s + 90/571 ━━━─────────────── loss 7.4757 lr 7.74e-03 |g| 0.160 1.48M tok/s + 100/571 ━━━─────────────── loss 7.4898 lr 7.69e-03 |g| 0.420 1.48M tok/s + 110/571 ━━━─────────────── loss 7.4653 lr 7.63e-03 |g| 0.360 1.48M tok/s + 120/571 ━━━━────────────── loss 7.1962 lr 7.56e-03 |g| 0.208 1.48M tok/s + 130/571 ━━━━────────────── loss 7.3452 lr 7.47e-03 |g| 1.108 1.48M tok/s + 140/571 ━━━━────────────── loss 7.1144 lr 7.37e-03 |g| 0.409 1.48M tok/s + 150/571 ━━━━━───────────── loss 6.9104 lr 7.26e-03 |g| 0.187 1.48M tok/s + 160/571 ━━━━━───────────── loss 6.8321 lr 7.14e-03 |g| 0.225 1.48M tok/s + 170/571 ━━━━━───────────── loss 6.6980 lr 7.01e-03 |g| 0.189 1.48M tok/s + 180/571 ━━━━━━──────────── loss 6.6483 lr 6.86e-03 |g| 0.231 1.48M tok/s + 190/571 ━━━━━━──────────── loss 6.5538 lr 6.71e-03 |g| 0.313 1.48M tok/s + 200/571 ━━━━━━──────────── loss 6.4737 lr 6.55e-03 |g| 0.307 1.49M tok/s + 210/571 ━━━━━━━─────────── loss 6.4802 lr 6.38e-03 |g| 0.342 1.49M tok/s + 220/571 ━━━━━━━─────────── loss 6.3869 lr 6.21e-03 |g| 0.182 1.49M tok/s + 230/571 ━━━━━━━─────────── loss 6.3697 lr 6.02e-03 |g| 0.271 1.49M tok/s + 240/571 ━━━━━━━━────────── loss 6.2520 lr 5.83e-03 |g| 0.264 1.49M tok/s + 250/571 ━━━━━━━━────────── loss 6.1964 lr 5.64e-03 |g| 0.208 1.49M tok/s + 260/571 ━━━━━━━━────────── loss 6.1748 lr 5.44e-03 |g| 0.201 1.49M tok/s + 270/571 ━━━━━━━━━───────── loss 6.1563 lr 5.23e-03 |g| 0.212 1.49M tok/s + 280/571 ━━━━━━━━━───────── loss 6.0451 lr 5.02e-03 |g| 0.155 1.49M tok/s + 290/571 ━━━━━━━━━───────── loss 6.0210 lr 4.81e-03 |g| 0.192 1.49M tok/s + 300/571 ━━━━━━━━━───────── loss 5.9231 lr 4.60e-03 |g| 0.223 1.49M tok/s + 310/571 ━━━━━━━━━━──────── loss 5.9318 lr 4.38e-03 |g| 0.163 1.49M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.9457 lr 4.17e-03 |g| 0.234 1.49M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.8322 lr 3.95e-03 |g| 0.246 1.49M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.7641 lr 3.74e-03 |g| 0.096 1.49M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.7553 lr 3.53e-03 |g| 0.128 1.49M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.7906 lr 3.32e-03 |g| 0.137 1.49M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.7159 lr 3.12e-03 |g| 0.161 1.49M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.7358 lr 2.92e-03 |g| 0.170 1.49M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.6827 lr 2.72e-03 |g| 0.145 1.49M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.7046 lr 2.53e-03 |g| 0.134 1.49M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.5813 lr 2.35e-03 |g| 0.132 1.49M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.6143 lr 2.18e-03 |g| 0.105 1.49M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.5367 lr 2.01e-03 |g| 0.130 1.49M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5547 lr 1.85e-03 |g| 0.109 1.49M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5363 lr 1.70e-03 |g| 0.144 1.49M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.5018 lr 1.56e-03 |g| 0.093 1.49M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.5011 lr 1.43e-03 |g| 0.143 1.49M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.4710 lr 1.31e-03 |g| 0.081 1.49M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4525 lr 1.20e-03 |g| 0.082 1.49M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.4848 lr 1.11e-03 |g| 0.094 1.49M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.4692 lr 1.02e-03 |g| 0.084 1.49M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.4429 lr 9.51e-04 |g| 0.098 1.49M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.3799 lr 8.91e-04 |g| 0.105 1.49M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.4000 lr 8.44e-04 |g| 0.106 1.49M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.3993 lr 8.10e-04 |g| 0.086 1.49M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.3785 lr 7.89e-04 |g| 0.094 1.49M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.3572 lr 7.81e-04 |g| 0.081 1.49M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.3892 lr 7.81e-04 |g| 0.094 1.49M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 201.208s (compilation excluded) + validation loss 5.3766 in 1.007s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..57caef58210fd1415a8a8c20421ee07259b6b62e --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-8-s1339/stdout.log @@ -0,0 +1 @@ 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THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:24:22.892706 3288108 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 27.58s, eval in 9.11s; periodic validation disabled + 1/571 ────────────────── loss 10.9061 lr 6.85e-05 |g| 3.623 1.28M tok/s + 10/571 ────────────────── loss 9.1157 lr 6.85e-04 |g| 1.612 1.04M tok/s + 20/571 ━───────────────── loss 7.7245 lr 1.37e-03 |g| 0.239 1.23M tok/s + 30/571 ━───────────────── loss 10.5320 lr 2.06e-03 |g| 15.558 1.30M tok/s + 40/571 ━───────────────── loss 7.6990 lr 2.74e-03 |g| 0.257 1.35M tok/s + 50/571 ━━──────────────── loss 7.6883 lr 3.43e-03 |g| 0.266 1.37M tok/s + 60/571 ━━──────────────── loss 7.7162 lr 3.91e-03 |g| 0.311 1.39M tok/s + 70/571 ━━──────────────── loss 7.5483 lr 3.90e-03 |g| 0.458 1.40M tok/s + 80/571 ━━━─────────────── loss 7.6591 lr 3.89e-03 |g| 1.001 1.41M tok/s + 90/571 ━━━─────────────── loss 7.3805 lr 3.87e-03 |g| 0.504 1.42M tok/s + 100/571 ━━━─────────────── loss 7.2777 lr 3.85e-03 |g| 0.362 1.43M tok/s + 110/571 ━━━─────────────── loss 7.0707 lr 3.81e-03 |g| 0.279 1.43M tok/s + 120/571 ━━━━────────────── loss 6.9850 lr 3.78e-03 |g| 0.248 1.44M tok/s + 130/571 ━━━━────────────── loss 6.9486 lr 3.73e-03 |g| 0.311 1.44M tok/s + 140/571 ━━━━────────────── loss 6.8180 lr 3.68e-03 |g| 0.224 1.45M tok/s + 150/571 ━━━━━───────────── loss 6.7709 lr 3.63e-03 |g| 0.276 1.45M tok/s + 160/571 ━━━━━───────────── loss 6.7297 lr 3.57e-03 |g| 0.265 1.45M tok/s + 170/571 ━━━━━───────────── loss 6.6748 lr 3.50e-03 |g| 0.303 1.45M tok/s + 180/571 ━━━━━━──────────── loss 6.5967 lr 3.43e-03 |g| 0.274 1.45M tok/s + 190/571 ━━━━━━──────────── loss 6.5377 lr 3.36e-03 |g| 0.407 1.46M tok/s + 200/571 ━━━━━━──────────── loss 6.4812 lr 3.28e-03 |g| 0.269 1.46M tok/s + 210/571 ━━━━━━━─────────── loss 6.4461 lr 3.19e-03 |g| 0.412 1.46M tok/s + 220/571 ━━━━━━━─────────── loss 6.3720 lr 3.10e-03 |g| 0.413 1.46M tok/s + 230/571 ━━━━━━━─────────── loss 6.2475 lr 3.01e-03 |g| 0.274 1.46M tok/s + 240/571 ━━━━━━━━────────── loss 6.1906 lr 2.92e-03 |g| 0.153 1.46M tok/s + 250/571 ━━━━━━━━────────── loss 6.1540 lr 2.82e-03 |g| 0.248 1.46M tok/s + 260/571 ━━━━━━━━────────── loss 6.0832 lr 2.72e-03 |g| 0.185 1.47M tok/s + 270/571 ━━━━━━━━━───────── loss 6.0846 lr 2.62e-03 |g| 0.286 1.47M tok/s + 280/571 ━━━━━━━━━───────── loss 6.0393 lr 2.51e-03 |g| 0.286 1.47M tok/s + 290/571 ━━━━━━━━━───────── loss 6.0249 lr 2.41e-03 |g| 0.198 1.47M tok/s + 300/571 ━━━━━━━━━───────── loss 5.8926 lr 2.30e-03 |g| 0.260 1.47M tok/s + 310/571 ━━━━━━━━━━──────── loss 5.8957 lr 2.19e-03 |g| 0.359 1.47M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.7991 lr 2.08e-03 |g| 0.298 1.47M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.8839 lr 1.98e-03 |g| 0.292 1.47M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.8552 lr 1.87e-03 |g| 0.178 1.47M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.7451 lr 1.76e-03 |g| 0.232 1.47M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.7384 lr 1.66e-03 |g| 0.218 1.47M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.6816 lr 1.56e-03 |g| 0.193 1.47M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.6953 lr 1.46e-03 |g| 0.175 1.47M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.6774 lr 1.36e-03 |g| 0.140 1.47M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.5995 lr 1.27e-03 |g| 0.156 1.47M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.6220 lr 1.18e-03 |g| 0.175 1.47M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.5636 lr 1.09e-03 |g| 0.125 1.47M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.5097 lr 1.00e-03 |g| 0.131 1.47M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5441 lr 9.25e-04 |g| 0.150 1.47M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5604 lr 8.50e-04 |g| 0.177 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.5282 lr 7.80e-04 |g| 0.194 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.5248 lr 7.15e-04 |g| 0.142 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.5223 lr 6.56e-04 |g| 0.102 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4836 lr 6.02e-04 |g| 0.143 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.3969 lr 5.54e-04 |g| 0.105 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.4253 lr 5.11e-04 |g| 0.118 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.4540 lr 4.75e-04 |g| 0.114 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.3908 lr 4.46e-04 |g| 0.117 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.3803 lr 4.22e-04 |g| 0.100 1.48M tok/s + 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..6e3f64ffe0e7a4771856af95e8a169ef09bdd0e8 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stderr.log @@ -0,0 +1,113 @@ +E0819 09:29:42.499353 3293598 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:29:42.500183 3346761 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:29:42.500394 3392564 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:29:42.501819 125413 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 28.56s, eval in 9.48s; periodic validation disabled + 1/571 ────────────────── loss 10.8830 lr 6.85e-05 |g| 3.483 1.30M tok/s + 10/571 ────────────────── loss 9.1744 lr 6.85e-04 |g| 3.417 1.08M tok/s + 20/571 ━───────────────── loss 7.6993 lr 1.37e-03 |g| 0.224 1.25M tok/s + 30/571 ━───────────────── loss 7.7378 lr 2.06e-03 |g| 0.567 1.32M tok/s + 40/571 ━───────────────── loss 7.5840 lr 2.74e-03 |g| 0.414 1.36M tok/s + 50/571 ━━──────────────── loss 7.5410 lr 3.43e-03 |g| 0.240 1.38M tok/s + 60/571 ━━──────────────── loss 7.6460 lr 3.91e-03 |g| 0.386 1.40M tok/s + 70/571 ━━──────────────── loss 7.6928 lr 3.90e-03 |g| 0.386 1.41M tok/s + 80/571 ━━━─────────────── loss 7.3524 lr 3.89e-03 |g| 0.462 1.42M tok/s + 90/571 ━━━─────────────── loss 7.1921 lr 3.87e-03 |g| 0.331 1.43M tok/s + 100/571 ━━━─────────────── loss 7.0192 lr 3.85e-03 |g| 0.304 1.43M tok/s + 110/571 ━━━─────────────── loss 7.0425 lr 3.81e-03 |g| 0.291 1.44M tok/s + 120/571 ━━━━────────────── loss 6.9836 lr 3.78e-03 |g| 0.285 1.44M tok/s + 130/571 ━━━━────────────── loss 6.7899 lr 3.73e-03 |g| 0.264 1.45M tok/s + 140/571 ━━━━────────────── loss 6.8291 lr 3.68e-03 |g| 0.486 1.45M tok/s + 150/571 ━━━━━───────────── loss 6.7382 lr 3.63e-03 |g| 0.515 1.45M tok/s + 160/571 ━━━━━───────────── loss 6.6734 lr 3.57e-03 |g| 0.428 1.45M tok/s + 170/571 ━━━━━───────────── loss 6.5322 lr 3.50e-03 |g| 0.303 1.46M tok/s + 180/571 ━━━━━━──────────── loss 6.4910 lr 3.43e-03 |g| 0.163 1.46M tok/s + 190/571 ━━━━━━──────────── loss 6.5161 lr 3.36e-03 |g| 0.493 1.46M tok/s + 200/571 ━━━━━━──────────── loss 6.4122 lr 3.28e-03 |g| 0.328 1.46M tok/s + 210/571 ━━━━━━━─────────── loss 6.3221 lr 3.19e-03 |g| 0.323 1.46M tok/s + 220/571 ━━━━━━━─────────── loss 6.3308 lr 3.10e-03 |g| 0.495 1.46M tok/s + 230/571 ━━━━━━━─────────── loss 6.2912 lr 3.01e-03 |g| 0.216 1.47M tok/s + 240/571 ━━━━━━━━────────── loss 6.2424 lr 2.92e-03 |g| 0.341 1.47M tok/s + 250/571 ━━━━━━━━────────── loss 6.1474 lr 2.82e-03 |g| 0.312 1.47M tok/s + 260/571 ━━━━━━━━────────── loss 6.1242 lr 2.72e-03 |g| 0.291 1.47M tok/s + 270/571 ━━━━━━━━━───────── loss 6.0487 lr 2.62e-03 |g| 0.372 1.47M tok/s + 280/571 ━━━━━━━━━───────── loss 6.0428 lr 2.51e-03 |g| 0.286 1.47M tok/s + 290/571 ━━━━━━━━━───────── loss 5.9573 lr 2.41e-03 |g| 0.271 1.47M tok/s + 300/571 ━━━━━━━━━───────── loss 5.9607 lr 2.30e-03 |g| 0.173 1.47M tok/s + 310/571 ━━━━━━━━━━──────── loss 5.9470 lr 2.19e-03 |g| 0.271 1.47M tok/s + 320/571 ━━━━━━━━━━──────── loss 5.8619 lr 2.08e-03 |g| 0.265 1.47M tok/s + 330/571 ━━━━━━━━━━──────── loss 5.8515 lr 1.98e-03 |g| 0.196 1.47M tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.9188 lr 1.87e-03 |g| 0.251 1.47M tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.8009 lr 1.76e-03 |g| 0.199 1.47M tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.7515 lr 1.66e-03 |g| 0.245 1.47M tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.7393 lr 1.56e-03 |g| 0.187 1.47M tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.6993 lr 1.46e-03 |g| 0.172 1.47M tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.6808 lr 1.36e-03 |g| 0.196 1.47M tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.6740 lr 1.27e-03 |g| 0.173 1.48M tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.6119 lr 1.18e-03 |g| 0.190 1.48M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.6613 lr 1.09e-03 |g| 0.191 1.48M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.6179 lr 1.00e-03 |g| 0.171 1.48M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5903 lr 9.25e-04 |g| 0.166 1.48M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5782 lr 8.50e-04 |g| 0.167 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.5629 lr 7.80e-04 |g| 0.127 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.5138 lr 7.15e-04 |g| 0.133 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.4734 lr 6.56e-04 |g| 0.143 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.5170 lr 6.02e-04 |g| 0.114 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.4787 lr 5.54e-04 |g| 0.199 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.4594 lr 5.11e-04 |g| 0.101 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.4456 lr 4.75e-04 |g| 0.133 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.4717 lr 4.46e-04 |g| 0.130 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.4244 lr 4.22e-04 |g| 0.121 1.48M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.4365 lr 4.05e-04 |g| 0.124 1.48M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.4420 lr 3.95e-04 |g| 0.141 1.48M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.4136 lr 3.91e-04 |g| 0.126 1.48M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.4229 lr 3.91e-04 |g| 0.131 1.48M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 202.368s (compilation excluded) + validation loss 5.4416 in 1.012s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..305fddb56ef11270ed2424939f77260e00ba7b6d --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1338/stdout.log @@ -0,0 +1 @@ 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"process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stderr.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..e901ee1ae5fb4fd12a47336bca9f025449b1c5fe --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stderr.log @@ -0,0 +1,113 @@ +E0819 09:35:02.824545 3352272 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:35:02.825238 3299099 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:35:02.826366 131633 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:35:02.826406 3398039 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:e3a9103e6016 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 59.92M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220836.32T │ + │ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 27.77s, eval in 9.50s; periodic validation disabled + 1/571 ────────────────── loss 10.9071 lr 6.85e-05 |g| 3.763 1.27M tok/s + 10/571 ────────────────── loss 9.2212 lr 6.85e-04 |g| 1.980 1.05M tok/s + 20/571 ━───────────────── loss 7.7856 lr 1.37e-03 |g| 9.452 1.23M tok/s + 30/571 ━───────────────── loss 7.5620 lr 2.06e-03 |g| 0.452 1.31M tok/s + 40/571 ━───────────────── loss 7.6041 lr 2.74e-03 |g| 0.523 1.35M tok/s + 50/571 ━━──────────────── loss 7.5757 lr 3.43e-03 |g| 0.684 1.37M tok/s + 60/571 ━━──────────────── loss 7.4665 lr 3.91e-03 |g| 0.591 1.39M tok/s + 70/571 ━━──────────────── loss 7.3328 lr 3.90e-03 |g| 0.769 1.40M tok/s + 80/571 ━━━─────────────── loss 7.2206 lr 3.89e-03 |g| 0.550 1.41M tok/s + 90/571 ━━━─────────────── loss 7.0242 lr 3.87e-03 |g| 0.386 1.42M tok/s + 100/571 ━━━─────────────── loss 7.0265 lr 3.85e-03 |g| 0.410 1.43M tok/s + 110/571 ━━━─────────────── loss 7.1219 lr 3.81e-03 |g| 0.921 1.43M tok/s + 120/571 ━━━━────────────── loss 6.8355 lr 3.78e-03 |g| 0.280 1.44M tok/s + 130/571 ━━━━────────────── loss 6.8296 lr 3.73e-03 |g| 0.702 1.44M tok/s + 140/571 ━━━━────────────── loss 6.6108 lr 3.68e-03 |g| 0.210 1.45M tok/s + 150/571 ━━━━━───────────── loss 6.7366 lr 3.63e-03 |g| 0.854 1.45M tok/s + 160/571 ━━━━━───────────── loss 6.5497 lr 3.57e-03 |g| 0.407 1.45M tok/s + 170/571 ━━━━━───────────── loss 6.4598 lr 3.50e-03 |g| 0.287 1.45M tok/s + 180/571 ━━━━━━──────────── loss 6.4118 lr 3.43e-03 |g| 0.414 1.46M tok/s + 190/571 ━━━━━━──────────── loss 6.3972 lr 3.36e-03 |g| 0.452 1.46M tok/s + 200/571 ━━━━━━──────────── loss 6.3032 lr 3.28e-03 |g| 0.230 1.46M tok/s + 210/571 ━━━━━━━─────────── loss 6.2690 lr 3.19e-03 |g| 0.275 1.46M tok/s + 220/571 ━━━━━━━─────────── loss 6.3620 lr 3.10e-03 |g| 0.460 1.46M tok/s + 230/571 ━━━━━━━─────────── loss 6.2638 lr 3.01e-03 |g| 0.409 1.46M tok/s + 240/571 ━━━━━━━━────────── loss 6.1438 lr 2.92e-03 |g| 0.362 1.46M tok/s + 250/571 ━━━━━━━━────────── loss 6.0551 lr 2.82e-03 |g| 0.243 1.46M tok/s + 260/571 ━━━━━━━━────────── loss 6.0827 lr 2.72e-03 |g| 0.294 1.47M tok/s + 270/571 ━━━━━━━━━───────── loss 6.0516 lr 2.62e-03 |g| 0.404 1.47M tok/s + 280/571 ━━━━━━━━━───────── loss 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0.134 1.47M tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.5922 lr 1.09e-03 |g| 0.212 1.47M tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.5042 lr 1.00e-03 |g| 0.166 1.47M tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.5231 lr 9.25e-04 |g| 0.148 1.48M tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.5024 lr 8.50e-04 |g| 0.120 1.48M tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.4866 lr 7.80e-04 |g| 0.167 1.48M tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.4721 lr 7.15e-04 |g| 0.115 1.48M tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.4632 lr 6.56e-04 |g| 0.140 1.48M tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.4435 lr 6.02e-04 |g| 0.118 1.48M tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.4791 lr 5.54e-04 |g| 0.141 1.48M tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.4648 lr 5.11e-04 |g| 0.122 1.48M tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.4414 lr 4.75e-04 |g| 0.141 1.48M tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.3749 lr 4.46e-04 |g| 0.111 1.48M tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.3972 lr 4.22e-04 |g| 0.124 1.48M tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.4064 lr 4.05e-04 |g| 0.107 1.48M tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.3851 lr 3.95e-04 |g| 0.116 1.48M tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.3665 lr 3.91e-04 |g| 0.097 1.48M tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.3917 lr 3.91e-04 |g| 0.094 1.48M tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 202.520s (compilation excluded) + validation loss 5.3805 in 1.015s + diff --git a/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stdout.log b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..d6a3f810000fcfd813d5f513dd210d741316a0d7 --- /dev/null +++ b/batch-size-grid-8k/60m-8k-5tpp-bs64-lr2e-9-s1339/stdout.log @@ -0,0 +1 @@ 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aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:08:29.970858 167863 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:08:29.971184 3430111 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:08:29.971439 3331032 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 54.52s, eval in 18.73s; periodic validation disabled + 1/1143 ────────────────── loss 10.9471 lr 9.69e-05 |g| 2.528 624.68K tok/s + 10/1143 ────────────────── loss 8.8923 lr 9.69e-04 |g| 1.548 744.00K tok/s + 20/1143 ────────────────── loss 7.9252 lr 1.94e-03 |g| 1.556 774.65K tok/s + 30/1143 ────────────────── loss 7.7268 lr 2.91e-03 |g| 0.245 786.18K tok/s + 40/1143 ━───────────────── loss 7.6551 lr 3.88e-03 |g| 2.155 791.81K tok/s + 50/1143 ━───────────────── loss 7.4967 lr 4.85e-03 |g| 1.961 794.95K tok/s + 60/1143 ━───────────────── loss 7.5757 lr 5.82e-03 |g| 0.979 797.14K tok/s + 70/1143 ━───────────────── loss 7.4238 lr 6.78e-03 |g| 0.236 798.67K tok/s + 80/1143 ━───────────────── loss 7.4024 lr 7.75e-03 |g| 0.313 799.80K tok/s + 90/1143 ━───────────────── loss 7.2883 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━━━─────────────── loss 6.2963 lr 1.08e-02 |g| 0.230 804.26K tok/s + 230/1143 ━━━━────────────── loss 6.1998 lr 1.07e-02 |g| 0.185 804.36K tok/s + 240/1143 ━━━━────────────── loss 6.1559 lr 1.07e-02 |g| 0.142 804.45K tok/s + 250/1143 ━━━━────────────── loss 5.9964 lr 1.06e-02 |g| 0.090 804.53K tok/s + 260/1143 ━━━━────────────── loss 6.0120 lr 1.06e-02 |g| 0.143 804.61K tok/s + 270/1143 ━━━━────────────── loss 5.9565 lr 1.05e-02 |g| 0.120 804.68K tok/s + 280/1143 ━━━━────────────── loss 5.9035 lr 1.04e-02 |g| 0.193 804.75K tok/s + 290/1143 ━━━━━───────────── loss 5.8059 lr 1.03e-02 |g| 0.093 804.82K tok/s + 300/1143 ━━━━━───────────── loss 5.7459 lr 1.03e-02 |g| 0.112 804.87K tok/s + 310/1143 ━━━━━───────────── loss 5.7518 lr 1.02e-02 |g| 0.188 804.92K tok/s + 320/1143 ━━━━━───────────── loss 5.6749 lr 1.01e-02 |g| 0.118 804.98K tok/s + 330/1143 ━━━━━───────────── loss 5.6284 lr 1.00e-02 |g| 0.122 805.03K tok/s + 340/1143 ━━━━━───────────── loss 5.6053 lr 9.91e-03 |g| 0.111 805.07K tok/s + 350/1143 ━━━━━━──────────── loss 5.5622 lr 9.81e-03 |g| 0.155 805.09K tok/s + 360/1143 ━━━━━━──────────── loss 5.6040 lr 9.71e-03 |g| 0.144 805.13K tok/s + 370/1143 ━━━━━━──────────── loss 5.5812 lr 9.61e-03 |g| 0.156 805.18K tok/s + 380/1143 ━━━━━━──────────── loss 5.5379 lr 9.50e-03 |g| 0.107 805.22K tok/s + 390/1143 ━━━━━━──────────── loss 5.4658 lr 9.39e-03 |g| 0.240 805.24K tok/s + 400/1143 ━━━━━━──────────── loss 5.5073 lr 9.27e-03 |g| 0.107 805.28K tok/s + 410/1143 ━━━━━━──────────── loss 5.3863 lr 9.15e-03 |g| 0.174 805.31K tok/s + 420/1143 ━━━━━━━─────────── loss 5.3892 lr 9.03e-03 |g| 0.141 805.35K tok/s + 430/1143 ━━━━━━━─────────── loss 5.3563 lr 8.91e-03 |g| 0.123 805.38K tok/s + 440/1143 ━━━━━━━─────────── loss 5.3290 lr 8.78e-03 |g| 0.114 805.40K tok/s + 450/1143 ━━━━━━━─────────── loss 5.2073 lr 8.65e-03 |g| 0.207 805.43K tok/s + 460/1143 ━━━━━━━─────────── loss 5.2567 lr 8.52e-03 |g| 0.089 805.45K tok/s + 470/1143 ━━━━━━━─────────── loss 5.2024 lr 8.39e-03 |g| 0.098 805.48K tok/s + 480/1143 ━━━━━━━━────────── loss 5.1761 lr 8.25e-03 |g| 0.124 805.50K tok/s + 490/1143 ━━━━━━━━────────── loss 5.1622 lr 8.12e-03 |g| 0.086 805.52K tok/s + 500/1143 ━━━━━━━━────────── loss 5.1344 lr 7.98e-03 |g| 0.074 805.55K tok/s + 510/1143 ━━━━━━━━────────── loss 5.0386 lr 7.84e-03 |g| 0.109 805.57K tok/s + 520/1143 ━━━━━━━━────────── loss 4.9789 lr 7.69e-03 |g| 0.086 805.59K tok/s + 530/1143 ━━━━━━━━────────── loss 5.0731 lr 7.55e-03 |g| 0.068 805.61K tok/s + 540/1143 ━━━━━━━━━───────── loss 5.0369 lr 7.40e-03 |g| 0.275 805.63K tok/s + 550/1143 ━━━━━━━━━───────── loss 5.0026 lr 7.26e-03 |g| 0.070 805.64K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.9261 lr 7.11e-03 |g| 0.098 805.66K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.9981 lr 6.96e-03 |g| 0.090 805.67K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.9765 lr 6.81e-03 |g| 0.124 805.69K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.9178 lr 6.66e-03 |g| 0.114 805.70K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7997 lr 6.51e-03 |g| 0.086 805.72K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.8730 lr 6.36e-03 |g| 0.097 805.73K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7537 lr 6.21e-03 |g| 0.108 805.74K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7446 lr 6.05e-03 |g| 0.120 805.74K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.7492 lr 5.90e-03 |g| 0.079 805.75K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.7643 lr 5.75e-03 |g| 0.137 805.76K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7974 lr 5.60e-03 |g| 0.101 805.78K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6853 lr 5.45e-03 |g| 0.071 805.79K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.7536 lr 5.30e-03 |g| 0.097 805.80K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.6566 lr 5.15e-03 |g| 0.065 805.81K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.6309 lr 5.00e-03 |g| 0.090 805.82K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6094 lr 4.85e-03 |g| 0.081 805.83K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6171 lr 4.71e-03 |g| 0.099 805.85K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.6569 lr 4.56e-03 |g| 0.086 805.86K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5269 lr 4.42e-03 |g| 0.099 805.86K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.5862 lr 4.27e-03 |g| 0.103 805.87K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5134 lr 4.13e-03 |g| 0.069 805.88K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.5231 lr 4.00e-03 |g| 0.086 805.89K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.5563 lr 3.86e-03 |g| 0.095 805.90K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.5557 lr 3.72e-03 |g| 0.105 805.91K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.4906 lr 3.59e-03 |g| 0.080 805.92K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4579 lr 3.46e-03 |g| 0.090 805.93K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.5154 lr 3.33e-03 |g| 0.074 805.94K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5332 lr 3.21e-03 |g| 0.087 805.94K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.4145 lr 3.08e-03 |g| 0.085 805.95K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.4490 lr 2.96e-03 |g| 0.085 805.96K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.3706 lr 2.85e-03 |g| 0.077 805.97K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.4523 lr 2.73e-03 |g| 0.079 805.97K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.4162 lr 2.62e-03 |g| 0.081 805.98K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.5544 lr 2.52e-03 |g| 0.075 805.99K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4264 lr 2.41e-03 |g| 0.073 806.00K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4624 lr 2.31e-03 |g| 0.069 806.00K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4172 lr 2.21e-03 |g| 0.074 806.01K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4373 lr 2.12e-03 |g| 0.071 806.02K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3958 lr 2.03e-03 |g| 0.071 806.02K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3256 lr 1.94e-03 |g| 0.075 806.03K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4417 lr 1.86e-03 |g| 0.084 806.03K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3246 lr 1.78e-03 |g| 0.068 806.04K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3883 lr 1.71e-03 |g| 0.070 806.05K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3909 lr 1.64e-03 |g| 0.068 806.05K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.2922 lr 1.57e-03 |g| 0.073 806.05K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3922 lr 1.51e-03 |g| 0.078 806.06K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.3098 lr 1.45e-03 |g| 0.065 806.07K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3274 lr 1.40e-03 |g| 0.063 806.07K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3485 lr 1.35e-03 |g| 0.069 806.08K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3014 lr 1.30e-03 |g| 0.081 806.08K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2894 lr 1.26e-03 |g| 0.077 806.09K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3051 lr 1.23e-03 |g| 0.065 806.09K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2701 lr 1.20e-03 |g| 0.073 806.10K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3206 lr 1.17e-03 |g| 0.075 806.10K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3483 lr 1.15e-03 |g| 0.063 806.11K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2558 lr 1.13e-03 |g| 0.068 806.11K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3005 lr 1.12e-03 |g| 0.067 806.12K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2001 lr 1.11e-03 |g| 0.070 806.12K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2738 lr 1.11e-03 |g| 0.064 806.12K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3060 lr 1.10e-03 |g| 0.065 806.10K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.711s (compilation excluded) + validation loss 4.2733 in 0.923s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..78242e3512b39021378ad7e7370ecc8bfb93a613 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log @@ -0,0 +1 @@ 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0000000000000000000000000000000000000000..0a6f8d04ab359dbfe1af5ee8f8dd59815ab3b059 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 10:17:49.236818 3393057 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:17:49.237281 3339802 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:17:49.237366 3438870 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:17:49.237472 177799 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 52.77s, eval in 18.24s; periodic validation disabled + 1/1143 ────────────────── loss 10.9072 lr 9.69e-05 |g| 2.213 622.59K tok/s + 10/1143 ────────────────── loss 8.8627 lr 9.69e-04 |g| 1.529 742.05K tok/s + 20/1143 ────────────────── loss 7.8915 lr 1.94e-03 |g| 1.386 774.03K tok/s + 30/1143 ────────────────── loss 7.7044 lr 2.91e-03 |g| 0.476 785.62K tok/s + 40/1143 ━───────────────── loss 7.6263 lr 3.88e-03 |g| 0.602 791.15K tok/s + 50/1143 ━───────────────── loss 7.6036 lr 4.85e-03 |g| 0.936 794.53K tok/s + 60/1143 ━───────────────── loss 7.3870 lr 5.82e-03 |g| 0.855 796.73K tok/s + 70/1143 ━───────────────── loss 7.2252 lr 6.78e-03 |g| 0.502 798.27K tok/s + 80/1143 ━───────────────── loss 7.1325 lr 7.75e-03 |g| 0.414 799.44K tok/s + 90/1143 ━───────────────── loss 7.1631 lr 8.72e-03 |g| 0.406 800.34K tok/s + 100/1143 ━━──────────────── loss 7.0506 lr 9.69e-03 |g| 0.484 801.05K tok/s + 110/1143 ━━──────────────── loss 7.0372 lr 1.07e-02 |g| 0.605 801.64K tok/s + 120/1143 ━━──────────────── loss 6.8836 lr 1.10e-02 |g| 0.333 802.08K tok/s + 130/1143 ━━──────────────── loss 7.3374 lr 1.10e-02 |g| 0.958 802.44K tok/s + 140/1143 ━━──────────────── loss 6.8519 lr 1.10e-02 |g| 0.224 802.75K tok/s + 150/1143 ━━──────────────── loss 6.7812 lr 1.10e-02 |g| 0.239 803.02K tok/s + 160/1143 ━━━─────────────── loss 6.7968 lr 1.10e-02 |g| 0.228 803.26K tok/s + 170/1143 ━━━─────────────── loss 6.6295 lr 1.10e-02 |g| 0.165 803.45K tok/s + 180/1143 ━━━─────────────── loss 6.6068 lr 1.09e-02 |g| 0.263 803.63K tok/s + 190/1143 ━━━─────────────── loss 6.5935 lr 1.09e-02 |g| 0.340 803.78K tok/s + 200/1143 ━━━─────────────── loss 6.3592 lr 1.09e-02 |g| 0.211 803.92K tok/s + 210/1143 ━━━─────────────── loss 6.3781 lr 1.08e-02 |g| 0.318 804.04K tok/s + 220/1143 ━━━─────────────── loss 6.3272 lr 1.08e-02 |g| 0.130 804.16K tok/s + 230/1143 ━━━━────────────── loss 6.2352 lr 1.07e-02 |g| 0.218 804.27K tok/s + 240/1143 ━━━━────────────── loss 6.1430 lr 1.07e-02 |g| 0.164 804.37K tok/s + 250/1143 ━━━━────────────── loss 6.1956 lr 1.06e-02 |g| 0.159 804.46K tok/s + 260/1143 ━━━━────────────── loss 6.0568 lr 1.06e-02 |g| 0.202 804.54K tok/s + 270/1143 ━━━━────────────── loss 6.0621 lr 1.05e-02 |g| 0.157 804.62K tok/s + 280/1143 ━━━━────────────── loss 6.0132 lr 1.04e-02 |g| 0.136 804.69K tok/s + 290/1143 ━━━━━───────────── loss 5.8830 lr 1.03e-02 |g| 0.109 804.76K tok/s + 300/1143 ━━━━━───────────── loss 5.9071 lr 1.03e-02 |g| 0.141 804.83K tok/s + 310/1143 ━━━━━───────────── loss 5.9824 lr 1.02e-02 |g| 0.199 804.88K tok/s + 320/1143 ━━━━━───────────── loss 5.9215 lr 1.01e-02 |g| 0.122 804.94K tok/s + 330/1143 ━━━━━───────────── loss 5.7486 lr 1.00e-02 |g| 0.138 804.98K tok/s + 340/1143 ━━━━━───────────── loss 5.6780 lr 9.91e-03 |g| 0.110 805.03K tok/s + 350/1143 ━━━━━━──────────── loss 5.7646 lr 9.81e-03 |g| 0.116 805.08K tok/s + 360/1143 ━━━━━━──────────── loss 5.7146 lr 9.71e-03 |g| 0.129 805.13K tok/s + 370/1143 ━━━━━━──────────── loss 5.6355 lr 9.61e-03 |g| 0.110 805.17K tok/s + 380/1143 ━━━━━━──────────── loss 5.5160 lr 9.50e-03 |g| 0.093 805.21K tok/s + 390/1143 ━━━━━━──────────── loss 5.5179 lr 9.39e-03 |g| 0.100 805.25K tok/s + 400/1143 ━━━━━━──────────── loss 5.5123 lr 9.27e-03 |g| 0.118 805.28K tok/s + 410/1143 ━━━━━━──────────── loss 5.5208 lr 9.15e-03 |g| 0.200 805.32K tok/s + 420/1143 ━━━━━━━─────────── loss 5.4518 lr 9.03e-03 |g| 0.135 805.35K tok/s + 430/1143 ━━━━━━━─────────── loss 5.4633 lr 8.91e-03 |g| 0.094 805.38K tok/s + 440/1143 ━━━━━━━─────────── loss 5.4120 lr 8.78e-03 |g| 0.154 805.41K tok/s + 450/1143 ━━━━━━━─────────── loss 5.3712 lr 8.65e-03 |g| 0.092 805.43K tok/s + 460/1143 ━━━━━━━─────────── loss 5.3660 lr 8.52e-03 |g| 0.093 805.46K tok/s + 470/1143 ━━━━━━━─────────── loss 5.2612 lr 8.39e-03 |g| 0.187 805.49K tok/s + 480/1143 ━━━━━━━━────────── loss 5.3014 lr 8.25e-03 |g| 0.092 805.51K tok/s + 490/1143 ━━━━━━━━────────── loss 5.2649 lr 8.12e-03 |g| 0.125 805.53K tok/s + 500/1143 ━━━━━━━━────────── loss 5.2412 lr 7.98e-03 |g| 0.121 805.55K tok/s + 510/1143 ━━━━━━━━────────── loss 5.2118 lr 7.84e-03 |g| 0.079 805.57K tok/s + 520/1143 ━━━━━━━━────────── loss 5.1577 lr 7.69e-03 |g| 0.107 805.59K tok/s + 530/1143 ━━━━━━━━────────── loss 5.1978 lr 7.55e-03 |g| 0.090 805.62K tok/s + 540/1143 ━━━━━━━━━───────── loss 5.0470 lr 7.40e-03 |g| 0.084 805.63K tok/s + 550/1143 ━━━━━━━━━───────── loss 5.0576 lr 7.26e-03 |g| 0.086 805.65K tok/s + 560/1143 ━━━━━━━━━───────── loss 5.0887 lr 7.11e-03 |g| 0.108 805.67K tok/s + 570/1143 ━━━━━━━━━───────── loss 5.0233 lr 6.96e-03 |g| 0.121 805.68K tok/s + 580/1143 ━━━━━━━━━───────── loss 5.0265 lr 6.81e-03 |g| 0.124 805.70K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.9745 lr 6.66e-03 |g| 0.092 805.71K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.9537 lr 6.51e-03 |g| 0.087 805.73K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.9398 lr 6.36e-03 |g| 0.136 805.74K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.9060 lr 6.21e-03 |g| 0.069 805.76K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.8914 lr 6.05e-03 |g| 0.107 805.76K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.8302 lr 5.90e-03 |g| 0.115 805.77K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.7872 lr 5.75e-03 |g| 0.104 805.78K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7850 lr 5.60e-03 |g| 0.112 805.80K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.7891 lr 5.45e-03 |g| 0.072 805.81K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.8948 lr 5.30e-03 |g| 0.099 805.82K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.7360 lr 5.15e-03 |g| 0.096 805.83K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.6768 lr 5.00e-03 |g| 0.085 805.85K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.7746 lr 4.85e-03 |g| 0.093 805.86K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6907 lr 4.71e-03 |g| 0.126 805.87K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.7076 lr 4.56e-03 |g| 0.101 805.88K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5840 lr 4.42e-03 |g| 0.098 805.89K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.6184 lr 4.27e-03 |g| 0.093 805.90K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5737 lr 4.13e-03 |g| 0.084 805.91K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.5982 lr 4.00e-03 |g| 0.094 805.92K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.6300 lr 3.86e-03 |g| 0.094 805.93K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.5858 lr 3.72e-03 |g| 0.088 805.93K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.6372 lr 3.59e-03 |g| 0.089 805.94K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.5425 lr 3.46e-03 |g| 0.087 805.95K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.5120 lr 3.33e-03 |g| 0.073 805.96K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5378 lr 3.21e-03 |g| 0.081 805.97K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.5134 lr 3.08e-03 |g| 0.086 805.97K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.5098 lr 2.96e-03 |g| 0.099 805.98K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.4966 lr 2.85e-03 |g| 0.073 805.99K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.5962 lr 2.73e-03 |g| 0.085 806.00K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.5022 lr 2.62e-03 |g| 0.089 806.00K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.4943 lr 2.52e-03 |g| 0.067 806.01K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4592 lr 2.41e-03 |g| 0.093 806.02K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4186 lr 2.31e-03 |g| 0.087 806.02K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4356 lr 2.21e-03 |g| 0.077 806.02K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4371 lr 2.12e-03 |g| 0.068 806.03K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.4194 lr 2.03e-03 |g| 0.090 806.04K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.4094 lr 1.94e-03 |g| 0.088 806.04K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.3736 lr 1.86e-03 |g| 0.067 806.05K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.4437 lr 1.78e-03 |g| 0.074 806.05K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3966 lr 1.71e-03 |g| 0.072 806.06K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3439 lr 1.64e-03 |g| 0.069 806.07K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3501 lr 1.57e-03 |g| 0.068 806.06K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3880 lr 1.51e-03 |g| 0.086 806.07K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.3547 lr 1.45e-03 |g| 0.070 806.07K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.4473 lr 1.40e-03 |g| 0.068 806.08K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3365 lr 1.35e-03 |g| 0.069 806.08K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2633 lr 1.30e-03 |g| 0.063 806.09K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3572 lr 1.26e-03 |g| 0.069 806.10K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3290 lr 1.23e-03 |g| 0.063 806.10K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3065 lr 1.20e-03 |g| 0.068 806.10K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3489 lr 1.17e-03 |g| 0.067 806.11K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3355 lr 1.15e-03 |g| 0.074 806.11K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3460 lr 1.13e-03 |g| 0.070 806.12K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3448 lr 1.12e-03 |g| 0.089 806.12K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3260 lr 1.11e-03 |g| 0.067 806.13K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3327 lr 1.11e-03 |g| 0.074 806.13K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3564 lr 1.10e-03 |g| 0.085 806.11K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.705s (compilation excluded) + validation loss 4.3125 in 0.915s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1338/stdout.log 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0000000000000000000000000000000000000000..745b74e8513ce681806e80254af9990ef92e3e42 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 10:27:10.346797 187771 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:27:10.347021 3348701 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:27:10.347645 3401756 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:27:10.348055 3447763 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 53.89s, eval in 18.23s; periodic validation disabled + 1/1143 ────────────────── loss 10.8872 lr 9.69e-05 |g| 2.751 481.91K tok/s + 10/1143 ────────────────── loss 8.8315 lr 9.69e-04 |g| 1.645 718.43K tok/s + 20/1143 ────────────────── loss 7.8429 lr 1.94e-03 |g| 1.688 760.67K tok/s + 30/1143 ────────────────── loss 7.7083 lr 2.91e-03 |g| 0.604 776.06K tok/s + 40/1143 ━───────────────── loss 7.6786 lr 3.88e-03 |g| 1.264 783.96K tok/s + 50/1143 ━───────────────── loss 7.4564 lr 4.85e-03 |g| 0.288 788.73K tok/s + 60/1143 ━───────────────── loss 7.3377 lr 5.82e-03 |g| 0.345 791.88K tok/s + 70/1143 ━───────────────── loss 7.3077 lr 6.78e-03 |g| 0.376 794.11K tok/s + 80/1143 ━───────────────── loss 7.3238 lr 7.75e-03 |g| 0.626 795.75K tok/s + 90/1143 ━───────────────── loss 7.0737 lr 8.72e-03 |g| 0.236 797.02K tok/s + 100/1143 ━━──────────────── loss 6.8967 lr 9.69e-03 |g| 0.277 798.00K tok/s + 110/1143 ━━──────────────── loss 6.8004 lr 1.07e-02 |g| 0.219 798.79K tok/s + 120/1143 ━━──────────────── loss 6.8698 lr 1.10e-02 |g| 0.347 799.43K tok/s + 130/1143 ━━──────────────── loss 6.7833 lr 1.10e-02 |g| 0.386 799.98K tok/s + 140/1143 ━━──────────────── loss 6.6784 lr 1.10e-02 |g| 0.517 800.46K tok/s + 150/1143 ━━──────────────── loss 6.5092 lr 1.10e-02 |g| 0.378 800.87K tok/s + 160/1143 ━━━─────────────── loss 6.4946 lr 1.10e-02 |g| 0.179 801.23K tok/s + 170/1143 ━━━─────────────── loss 6.5050 lr 1.10e-02 |g| 0.202 801.54K tok/s + 180/1143 ━━━─────────────── loss 6.3017 lr 1.09e-02 |g| 0.377 801.81K tok/s + 190/1143 ━━━─────────────── loss 6.2779 lr 1.09e-02 |g| 0.201 802.06K tok/s + 200/1143 ━━━─────────────── loss 6.1576 lr 1.09e-02 |g| 0.216 802.29K tok/s + 210/1143 ━━━─────────────── loss 6.0962 lr 1.08e-02 |g| 0.314 802.49K tok/s + 220/1143 ━━━─────────────── loss 6.1780 lr 1.08e-02 |g| 0.229 802.68K tok/s + 230/1143 ━━━━────────────── loss 6.0855 lr 1.07e-02 |g| 0.124 802.85K tok/s + 240/1143 ━━━━────────────── loss 6.0167 lr 1.07e-02 |g| 0.166 803.00K tok/s + 250/1143 ━━━━────────────── loss 5.8843 lr 1.06e-02 |g| 0.298 803.15K tok/s + 260/1143 ━━━━────────────── loss 5.9572 lr 1.06e-02 |g| 0.148 803.28K tok/s + 270/1143 ━━━━────────────── loss 5.8265 lr 1.05e-02 |g| 0.140 803.40K tok/s + 280/1143 ━━━━────────────── loss 5.7767 lr 1.04e-02 |g| 0.299 803.47K tok/s + 290/1143 ━━━━━───────────── loss 5.7359 lr 1.03e-02 |g| 0.109 803.58K tok/s + 300/1143 ━━━━━───────────── loss 5.7276 lr 1.03e-02 |g| 0.112 803.68K tok/s + 310/1143 ━━━━━───────────── loss 5.6501 lr 1.02e-02 |g| 0.213 803.77K tok/s + 320/1143 ━━━━━───────────── loss 5.6249 lr 1.01e-02 |g| 0.146 803.85K tok/s + 330/1143 ━━━━━───────────── loss 5.6213 lr 1.00e-02 |g| 0.138 803.94K tok/s + 340/1143 ━━━━━───────────── loss 5.5748 lr 9.91e-03 |g| 0.147 804.01K tok/s + 350/1143 ━━━━━━──────────── loss 5.4337 lr 9.81e-03 |g| 0.120 804.08K tok/s + 360/1143 ━━━━━━──────────── loss 5.4679 lr 9.71e-03 |g| 0.181 804.15K tok/s + 370/1143 ━━━━━━──────────── loss 5.3710 lr 9.61e-03 |g| 0.084 804.21K tok/s + 380/1143 ━━━━━━──────────── loss 5.4125 lr 9.50e-03 |g| 0.129 804.28K tok/s + 390/1143 ━━━━━━──────────── loss 5.3319 lr 9.39e-03 |g| 0.144 804.32K tok/s + 400/1143 ━━━━━━──────────── loss 5.3880 lr 9.27e-03 |g| 0.124 804.38K tok/s + 410/1143 ━━━━━━──────────── loss 5.3470 lr 9.15e-03 |g| 0.119 804.43K tok/s + 420/1143 ━━━━━━━─────────── loss 5.2356 lr 9.03e-03 |g| 0.120 804.48K tok/s + 430/1143 ━━━━━━━─────────── loss 5.2436 lr 8.91e-03 |g| 0.129 804.53K tok/s + 440/1143 ━━━━━━━─────────── loss 5.2611 lr 8.78e-03 |g| 0.100 804.58K tok/s + 450/1143 ━━━━━━━─────────── loss 5.1357 lr 8.65e-03 |g| 0.108 804.63K tok/s + 460/1143 ━━━━━━━─────────── loss 5.2222 lr 8.52e-03 |g| 0.121 804.67K tok/s + 470/1143 ━━━━━━━─────────── loss 5.0811 lr 8.39e-03 |g| 0.079 804.71K tok/s + 480/1143 ━━━━━━━━────────── loss 5.1152 lr 8.25e-03 |g| 0.114 804.75K tok/s + 490/1143 ━━━━━━━━────────── loss 5.0249 lr 8.12e-03 |g| 0.075 804.79K tok/s + 500/1143 ━━━━━━━━────────── loss 5.0625 lr 7.98e-03 |g| 0.094 804.82K tok/s + 510/1143 ━━━━━━━━────────── loss 4.9535 lr 7.84e-03 |g| 0.099 804.86K tok/s + 520/1143 ━━━━━━━━────────── loss 5.0105 lr 7.69e-03 |g| 0.109 804.89K tok/s + 530/1143 ━━━━━━━━────────── loss 4.8840 lr 7.55e-03 |g| 0.108 804.92K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.9731 lr 7.40e-03 |g| 0.078 804.95K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.8639 lr 7.26e-03 |g| 0.072 804.98K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.9312 lr 7.11e-03 |g| 0.063 805.01K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.8071 lr 6.96e-03 |g| 0.089 805.04K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.7964 lr 6.81e-03 |g| 0.109 805.06K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.8279 lr 6.66e-03 |g| 0.097 805.09K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7482 lr 6.51e-03 |g| 0.103 805.11K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.7008 lr 6.36e-03 |g| 0.094 805.13K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7190 lr 6.21e-03 |g| 0.071 805.16K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7332 lr 6.05e-03 |g| 0.114 805.16K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.7150 lr 5.90e-03 |g| 0.092 805.19K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.6823 lr 5.75e-03 |g| 0.074 805.20K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.6859 lr 5.60e-03 |g| 0.104 805.22K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6313 lr 5.45e-03 |g| 0.080 805.24K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.6184 lr 5.30e-03 |g| 0.089 805.25K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.6334 lr 5.15e-03 |g| 0.125 805.27K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.5825 lr 5.00e-03 |g| 0.102 805.29K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.5723 lr 4.85e-03 |g| 0.083 805.31K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6567 lr 4.71e-03 |g| 0.103 805.32K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.5565 lr 4.56e-03 |g| 0.084 805.34K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5551 lr 4.42e-03 |g| 0.087 805.35K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.5556 lr 4.27e-03 |g| 0.092 805.36K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5584 lr 4.13e-03 |g| 0.084 805.37K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.4883 lr 4.00e-03 |g| 0.079 805.39K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.4812 lr 3.86e-03 |g| 0.066 805.40K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.3827 lr 3.72e-03 |g| 0.083 805.42K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.5558 lr 3.59e-03 |g| 0.079 805.43K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4605 lr 3.46e-03 |g| 0.079 805.43K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.4938 lr 3.33e-03 |g| 0.068 805.45K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.3858 lr 3.21e-03 |g| 0.072 805.46K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.4011 lr 3.08e-03 |g| 0.079 805.47K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.3838 lr 2.96e-03 |g| 0.068 805.48K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.4005 lr 2.85e-03 |g| 0.071 805.50K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.3923 lr 2.73e-03 |g| 0.088 805.51K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.3554 lr 2.62e-03 |g| 0.078 805.52K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.4029 lr 2.52e-03 |g| 0.074 805.53K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.3916 lr 2.41e-03 |g| 0.075 805.54K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.3631 lr 2.31e-03 |g| 0.069 805.55K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4057 lr 2.21e-03 |g| 0.073 805.56K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.3566 lr 2.12e-03 |g| 0.079 805.57K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3243 lr 2.03e-03 |g| 0.071 805.58K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.2765 lr 1.94e-03 |g| 0.077 805.59K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.3295 lr 1.86e-03 |g| 0.064 805.60K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3862 lr 1.78e-03 |g| 0.065 805.61K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.2897 lr 1.71e-03 |g| 0.073 805.62K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3398 lr 1.64e-03 |g| 0.070 805.63K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3259 lr 1.57e-03 |g| 0.066 805.64K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.2750 lr 1.51e-03 |g| 0.068 805.64K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2861 lr 1.45e-03 |g| 0.073 805.65K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3577 lr 1.40e-03 |g| 0.072 805.66K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3187 lr 1.35e-03 |g| 0.064 805.67K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2633 lr 1.30e-03 |g| 0.065 805.68K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2032 lr 1.26e-03 |g| 0.062 805.69K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2948 lr 1.23e-03 |g| 0.073 805.70K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2741 lr 1.20e-03 |g| 0.071 805.70K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2268 lr 1.17e-03 |g| 0.066 805.71K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2759 lr 1.15e-03 |g| 0.074 805.72K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2161 lr 1.13e-03 |g| 0.073 805.73K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2277 lr 1.12e-03 |g| 0.062 805.74K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1564 lr 1.11e-03 |g| 0.069 805.74K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1957 lr 1.11e-03 |g| 0.069 805.75K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1789 lr 1.10e-03 |g| 0.068 805.73K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.882s (compilation excluded) + validation loss 4.2288 in 0.914s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1339/stdout.log b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..d06ac10321932b65424ba285cee74b88234bd46d --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-7-s1339/stdout.log @@ -0,0 +1 @@ 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0000000000000000000000000000000000000000..e6d678909cfe8fd1ad6f35ebdfe8c1ebeafc6524 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log @@ -0,0 +1,170 @@ +E0819 09:40:23.525047 3357701 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:40:23.526447 137887 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:40:23.526593 3304588 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:40:23.526950 3403510 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.36s, eval in 19.17s; periodic validation disabled + 1/1143 ────────────────── loss 10.9471 lr 4.85e-05 |g| 2.528 233.55K tok/s + 10/1143 ────────────────── loss 9.5382 lr 4.85e-04 |g| 1.589 618.35K tok/s + 20/1143 ────────────────── loss 7.8318 lr 9.69e-04 |g| 0.867 700.31K tok/s + 30/1143 ────────────────── loss 7.7592 lr 1.45e-03 |g| 1.385 732.66K tok/s + 40/1143 ━───────────────── loss 7.5206 lr 1.94e-03 |g| 1.726 750.09K tok/s + 50/1143 ━───────────────── loss 7.3133 lr 2.42e-03 |g| 0.465 760.99K tok/s + 60/1143 ━───────────────── loss 7.2131 lr 2.91e-03 |g| 1.007 768.33K tok/s + 70/1143 ━───────────────── loss 7.1030 lr 3.39e-03 |g| 0.376 773.61K tok/s + 80/1143 ━───────────────── loss 7.1538 lr 3.88e-03 |g| 1.470 777.61K tok/s + 90/1143 ━───────────────── loss 6.9440 lr 4.36e-03 |g| 0.692 780.73K tok/s + 100/1143 ━━──────────────── loss 6.7744 lr 4.85e-03 |g| 0.290 783.23K tok/s + 110/1143 ━━──────────────── loss 6.7887 lr 5.33e-03 |g| 0.478 785.27K tok/s + 120/1143 ━━──────────────── loss 6.6410 lr 5.52e-03 |g| 0.494 786.99K tok/s + 130/1143 ━━──────────────── loss 6.5742 lr 5.52e-03 |g| 0.558 788.46K tok/s + 140/1143 ━━──────────────── loss 6.4678 lr 5.52e-03 |g| 0.280 789.73K tok/s + 150/1143 ━━──────────────── loss 6.3391 lr 5.51e-03 |g| 0.332 790.80K tok/s + 160/1143 ━━━─────────────── loss 6.3731 lr 5.50e-03 |g| 0.379 791.77K tok/s + 170/1143 ━━━─────────────── loss 6.1980 lr 5.49e-03 |g| 0.258 792.62K tok/s + 180/1143 ━━━─────────────── loss 6.2802 lr 5.47e-03 |g| 0.345 793.37K tok/s + 190/1143 ━━━─────────────── loss 6.0876 lr 5.46e-03 |g| 0.243 794.04K tok/s + 200/1143 ━━━─────────────── loss 6.1516 lr 5.44e-03 |g| 0.345 794.66K tok/s + 210/1143 ━━━─────────────── loss 6.0041 lr 5.42e-03 |g| 0.217 795.20K tok/s + 220/1143 ━━━─────────────── loss 6.0156 lr 5.40e-03 |g| 0.265 795.70K tok/s + 230/1143 ━━━━────────────── loss 5.9982 lr 5.37e-03 |g| 0.195 796.15K tok/s + 240/1143 ━━━━────────────── loss 5.9764 lr 5.34e-03 |g| 0.243 796.58K tok/s + 250/1143 ━━━━────────────── loss 5.7858 lr 5.31e-03 |g| 0.234 796.97K tok/s + 260/1143 ━━━━────────────── loss 5.8418 lr 5.28e-03 |g| 0.275 797.33K tok/s + 270/1143 ━━━━────────────── loss 5.7386 lr 5.25e-03 |g| 0.131 797.67K tok/s + 280/1143 ━━━━────────────── loss 5.7126 lr 5.21e-03 |g| 0.219 797.98K tok/s + 290/1143 ━━━━━───────────── loss 5.6949 lr 5.17e-03 |g| 0.353 798.26K tok/s + 300/1143 ━━━━━───────────── loss 5.5569 lr 5.13e-03 |g| 0.153 798.54K tok/s + 310/1143 ━━━━━───────────── loss 5.5896 lr 5.09e-03 |g| 0.198 798.79K tok/s + 320/1143 ━━━━━───────────── loss 5.5038 lr 5.05e-03 |g| 0.178 799.03K tok/s + 330/1143 ━━━━━───────────── loss 5.4652 lr 5.00e-03 |g| 0.210 799.25K tok/s + 340/1143 ━━━━━───────────── loss 5.4498 lr 4.96e-03 |g| 0.193 799.46K tok/s + 350/1143 ━━━━━━──────────── loss 5.4101 lr 4.91e-03 |g| 0.224 799.66K tok/s + 360/1143 ━━━━━━──────────── loss 5.4450 lr 4.86e-03 |g| 0.165 799.85K tok/s + 370/1143 ━━━━━━──────────── loss 5.4098 lr 4.80e-03 |g| 0.145 800.03K tok/s + 380/1143 ━━━━━━──────────── loss 5.3747 lr 4.75e-03 |g| 0.173 800.21K tok/s + 390/1143 ━━━━━━──────────── loss 5.3152 lr 4.69e-03 |g| 0.171 800.37K tok/s + 400/1143 ━━━━━━──────────── loss 5.3730 lr 4.64e-03 |g| 0.183 800.52K tok/s + 410/1143 ━━━━━━──────────── loss 5.2249 lr 4.58e-03 |g| 0.122 800.66K tok/s + 420/1143 ━━━━━━━─────────── loss 5.2518 lr 4.52e-03 |g| 0.144 800.79K tok/s + 430/1143 ━━━━━━━─────────── loss 5.2718 lr 4.45e-03 |g| 0.257 800.92K tok/s + 440/1143 ━━━━━━━─────────── loss 5.2161 lr 4.39e-03 |g| 0.128 801.05K tok/s + 450/1143 ━━━━━━━─────────── loss 5.0685 lr 4.33e-03 |g| 0.144 801.16K tok/s + 460/1143 ━━━━━━━─────────── loss 5.1356 lr 4.26e-03 |g| 0.115 801.28K tok/s + 470/1143 ━━━━━━━─────────── loss 5.0943 lr 4.19e-03 |g| 0.139 801.39K tok/s + 480/1143 ━━━━━━━━────────── loss 5.0777 lr 4.13e-03 |g| 0.191 801.48K tok/s + 490/1143 ━━━━━━━━────────── loss 5.0739 lr 4.06e-03 |g| 0.132 801.58K tok/s + 500/1143 ━━━━━━━━────────── loss 5.0505 lr 3.99e-03 |g| 0.131 801.68K tok/s + 510/1143 ━━━━━━━━────────── loss 4.9369 lr 3.92e-03 |g| 0.115 801.77K tok/s + 520/1143 ━━━━━━━━────────── loss 4.9155 lr 3.85e-03 |g| 0.135 801.86K tok/s + 530/1143 ━━━━━━━━────────── loss 5.0100 lr 3.77e-03 |g| 0.128 801.95K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.9216 lr 3.70e-03 |g| 0.158 802.03K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.9439 lr 3.63e-03 |g| 0.136 802.11K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.8589 lr 3.55e-03 |g| 0.131 802.19K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.9314 lr 3.48e-03 |g| 0.106 802.26K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.9359 lr 3.41e-03 |g| 0.136 802.33K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.8547 lr 3.33e-03 |g| 0.117 802.40K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7586 lr 3.25e-03 |g| 0.137 802.47K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.8178 lr 3.18e-03 |g| 0.117 802.54K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7056 lr 3.10e-03 |g| 0.124 802.60K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7083 lr 3.03e-03 |g| 0.142 802.64K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.6968 lr 2.95e-03 |g| 0.100 802.70K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.6879 lr 2.88e-03 |g| 0.093 802.76K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7566 lr 2.80e-03 |g| 0.129 802.81K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6473 lr 2.72e-03 |g| 0.129 802.87K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.7136 lr 2.65e-03 |g| 0.128 802.92K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.6113 lr 2.57e-03 |g| 0.097 802.97K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.5767 lr 2.50e-03 |g| 0.107 803.02K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.5659 lr 2.43e-03 |g| 0.100 803.07K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.5770 lr 2.35e-03 |g| 0.116 803.11K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.6104 lr 2.28e-03 |g| 0.111 803.16K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.4849 lr 2.21e-03 |g| 0.145 803.20K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.5412 lr 2.14e-03 |g| 0.130 803.24K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.4844 lr 2.07e-03 |g| 0.130 803.28K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.4863 lr 2.00e-03 |g| 0.119 803.32K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.5231 lr 1.93e-03 |g| 0.126 803.36K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.5185 lr 1.86e-03 |g| 0.132 803.39K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.4583 lr 1.80e-03 |g| 0.106 803.43K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4221 lr 1.73e-03 |g| 0.122 803.46K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.4887 lr 1.67e-03 |g| 0.123 803.50K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5020 lr 1.60e-03 |g| 0.109 803.53K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.3844 lr 1.54e-03 |g| 0.113 803.55K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.4143 lr 1.48e-03 |g| 0.115 803.58K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.3459 lr 1.42e-03 |g| 0.116 803.61K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.4287 lr 1.37e-03 |g| 0.099 803.64K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.3866 lr 1.31e-03 |g| 0.122 803.67K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.5320 lr 1.26e-03 |g| 0.107 803.70K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4066 lr 1.21e-03 |g| 0.099 803.73K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4446 lr 1.16e-03 |g| 0.110 803.76K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.3941 lr 1.11e-03 |g| 0.099 803.78K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4154 lr 1.06e-03 |g| 0.101 803.81K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3731 lr 1.01e-03 |g| 0.091 803.84K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3097 lr 9.72e-04 |g| 0.099 803.86K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.4243 lr 9.30e-04 |g| 0.106 803.89K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3068 lr 8.91e-04 |g| 0.095 803.92K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3741 lr 8.54e-04 |g| 0.094 803.95K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3774 lr 8.19e-04 |g| 0.096 803.97K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.2715 lr 7.86e-04 |g| 0.101 803.99K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3764 lr 7.55e-04 |g| 0.105 804.01K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2944 lr 7.26e-04 |g| 0.086 804.04K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3129 lr 6.99e-04 |g| 0.090 804.06K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3374 lr 6.74e-04 |g| 0.096 804.09K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2902 lr 6.52e-04 |g| 0.103 804.11K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2817 lr 6.32e-04 |g| 0.094 804.13K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2960 lr 6.14e-04 |g| 0.097 804.15K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2557 lr 5.98e-04 |g| 0.095 804.17K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3124 lr 5.85e-04 |g| 0.111 804.19K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3401 lr 5.74e-04 |g| 0.090 804.21K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2475 lr 5.65e-04 |g| 0.094 804.24K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2901 lr 5.59e-04 |g| 0.089 804.26K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1897 lr 5.54e-04 |g| 0.092 804.28K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2660 lr 5.53e-04 |g| 0.090 804.30K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3017 lr 5.52e-04 |g| 0.095 804.28K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 372.553s (compilation excluded) + validation loss 4.2686 in 0.908s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log 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0000000000000000000000000000000000000000..39d9334a7e6440303eef8fbe0868c8f3c10ca4ef --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 09:49:53.427465 3313574 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:49:53.427562 147920 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:49:53.428718 3412519 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:49:53.429030 3366571 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.88s, eval in 18.68s; periodic validation disabled + 1/1143 ────────────────── loss 10.9072 lr 4.85e-05 |g| 2.213 472.91K tok/s + 10/1143 ────────────────── loss 9.5372 lr 4.85e-04 |g| 1.579 706.76K tok/s + 20/1143 ────────────────── loss 7.8394 lr 9.69e-04 |g| 0.919 753.84K tok/s + 30/1143 ────────────────── loss 7.6574 lr 1.45e-03 |g| 17.100 770.78K tok/s + 40/1143 ━───────────────── loss 7.8687 lr 1.94e-03 |g| 0.730 780.01K tok/s + 50/1143 ━───────────────── loss 7.7673 lr 2.42e-03 |g| 0.225 786.14K tok/s + 60/1143 ━───────────────── loss 7.7089 lr 2.91e-03 |g| 0.466 790.27K tok/s + 70/1143 ━───────────────── loss 7.4881 lr 3.39e-03 |g| 0.714 792.94K tok/s + 80/1143 ━───────────────── loss 7.2426 lr 3.88e-03 |g| 0.529 794.80K tok/s + 90/1143 ━───────────────── loss 7.2359 lr 4.36e-03 |g| 0.624 796.23K tok/s + 100/1143 ━━──────────────── loss 7.0737 lr 4.85e-03 |g| 0.470 797.39K tok/s + 110/1143 ━━──────────────── loss 6.9810 lr 5.33e-03 |g| 0.450 798.27K tok/s + 120/1143 ━━──────────────── loss 6.8138 lr 5.52e-03 |g| 0.234 798.97K tok/s + 130/1143 ━━──────────────── loss 6.8080 lr 5.52e-03 |g| 0.375 799.57K tok/s + 140/1143 ━━──────────────── loss 6.7498 lr 5.52e-03 |g| 0.541 800.09K tok/s + 150/1143 ━━──────────────── loss 6.6767 lr 5.51e-03 |g| 0.313 800.46K tok/s + 160/1143 ━━━─────────────── loss 6.6150 lr 5.50e-03 |g| 0.460 800.83K tok/s + 170/1143 ━━━─────────────── loss 6.4800 lr 5.49e-03 |g| 0.307 801.15K tok/s + 180/1143 ━━━─────────────── loss 6.4465 lr 5.47e-03 |g| 0.362 801.44K tok/s + 190/1143 ━━━─────────────── loss 6.4515 lr 5.46e-03 |g| 0.426 801.71K tok/s + 200/1143 ━━━─────────────── loss 6.2197 lr 5.44e-03 |g| 0.276 801.94K tok/s + 210/1143 ━━━─────────────── loss 6.1640 lr 5.42e-03 |g| 0.278 802.15K tok/s + 220/1143 ━━━─────────────── loss 6.1506 lr 5.40e-03 |g| 0.174 802.35K tok/s + 230/1143 ━━━━────────────── loss 6.0752 lr 5.37e-03 |g| 0.212 802.52K tok/s + 240/1143 ━━━━────────────── loss 6.0112 lr 5.34e-03 |g| 0.265 802.69K tok/s + 250/1143 ━━━━────────────── loss 6.0954 lr 5.31e-03 |g| 0.329 802.85K tok/s + 260/1143 ━━━━────────────── loss 5.9236 lr 5.28e-03 |g| 0.295 802.99K tok/s + 270/1143 ━━━━────────────── loss 5.9204 lr 5.25e-03 |g| 0.278 803.12K tok/s + 280/1143 ━━━━────────────── loss 5.9541 lr 5.21e-03 |g| 0.374 803.24K tok/s + 290/1143 ━━━━━───────────── loss 5.7562 lr 5.17e-03 |g| 0.193 803.35K tok/s + 300/1143 ━━━━━───────────── loss 5.7790 lr 5.13e-03 |g| 0.361 803.46K tok/s + 310/1143 ━━━━━───────────── loss 5.7889 lr 5.09e-03 |g| 0.196 803.54K tok/s + 320/1143 ━━━━━───────────── loss 5.8185 lr 5.05e-03 |g| 0.241 803.63K tok/s + 330/1143 ━━━━━───────────── loss 5.5769 lr 5.00e-03 |g| 0.136 803.72K tok/s + 340/1143 ━━━━━───────────── loss 5.5940 lr 4.96e-03 |g| 0.182 803.80K tok/s + 350/1143 ━━━━━━──────────── loss 5.6410 lr 4.91e-03 |g| 0.167 803.87K tok/s + 360/1143 ━━━━━━──────────── loss 5.5636 lr 4.86e-03 |g| 0.163 803.94K tok/s + 370/1143 ━━━━━━──────────── loss 5.4968 lr 4.80e-03 |g| 0.149 804.01K tok/s + 380/1143 ━━━━━━──────────── loss 5.4323 lr 4.75e-03 |g| 0.197 804.07K tok/s + 390/1143 ━━━━━━──────────── loss 5.3792 lr 4.69e-03 |g| 0.197 804.12K tok/s + 400/1143 ━━━━━━──────────── loss 5.4034 lr 4.64e-03 |g| 0.189 804.19K tok/s + 410/1143 ━━━━━━──────────── loss 5.4211 lr 4.58e-03 |g| 0.244 804.24K tok/s + 420/1143 ━━━━━━━─────────── loss 5.2826 lr 4.52e-03 |g| 0.159 804.30K tok/s + 430/1143 ━━━━━━━─────────── loss 5.3642 lr 4.45e-03 |g| 0.172 804.34K tok/s + 440/1143 ━━━━━━━─────────── loss 5.3001 lr 4.39e-03 |g| 0.151 804.39K tok/s + 450/1143 ━━━━━━━─────────── loss 5.2577 lr 4.33e-03 |g| 0.134 804.43K tok/s + 460/1143 ━━━━━━━─────────── loss 5.2649 lr 4.26e-03 |g| 0.125 804.48K tok/s + 470/1143 ━━━━━━━─────────── loss 5.1447 lr 4.19e-03 |g| 0.152 804.51K tok/s + 480/1143 ━━━━━━━━────────── loss 5.2128 lr 4.13e-03 |g| 0.180 804.55K tok/s + 490/1143 ━━━━━━━━────────── loss 5.1621 lr 4.06e-03 |g| 0.129 804.59K tok/s + 500/1143 ━━━━━━━━────────── loss 5.1471 lr 3.99e-03 |g| 0.145 804.62K tok/s + 510/1143 ━━━━━━━━────────── loss 5.1355 lr 3.92e-03 |g| 0.144 804.66K tok/s + 520/1143 ━━━━━━━━────────── loss 5.0725 lr 3.85e-03 |g| 0.152 804.69K tok/s + 530/1143 ━━━━━━━━────────── loss 5.1266 lr 3.77e-03 |g| 0.112 804.72K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.9681 lr 3.70e-03 |g| 0.105 804.76K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.9965 lr 3.63e-03 |g| 0.139 804.79K tok/s + 560/1143 ━━━━━━━━━───────── loss 5.0261 lr 3.55e-03 |g| 0.156 804.82K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.9512 lr 3.48e-03 |g| 0.107 804.84K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.9775 lr 3.41e-03 |g| 0.152 804.87K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.9431 lr 3.33e-03 |g| 0.171 804.90K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.9131 lr 3.25e-03 |g| 0.130 804.93K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.8840 lr 3.18e-03 |g| 0.130 804.95K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.8669 lr 3.10e-03 |g| 0.112 804.98K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.8569 lr 3.03e-03 |g| 0.161 804.99K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.7869 lr 2.95e-03 |g| 0.105 805.01K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.7567 lr 2.88e-03 |g| 0.139 805.04K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7486 lr 2.80e-03 |g| 0.111 805.06K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.7664 lr 2.72e-03 |g| 0.121 805.08K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.8793 lr 2.65e-03 |g| 0.133 805.10K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.6992 lr 2.57e-03 |g| 0.113 805.12K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.6590 lr 2.50e-03 |g| 0.135 805.14K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.7384 lr 2.43e-03 |g| 0.113 805.16K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6633 lr 2.35e-03 |g| 0.109 805.17K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.6959 lr 2.28e-03 |g| 0.165 805.19K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5637 lr 2.21e-03 |g| 0.124 805.21K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.6006 lr 2.14e-03 |g| 0.136 805.23K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5569 lr 2.07e-03 |g| 0.130 805.25K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.5708 lr 2.00e-03 |g| 0.108 805.26K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.6083 lr 1.93e-03 |g| 0.120 805.28K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.5675 lr 1.86e-03 |g| 0.110 805.30K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.6104 lr 1.80e-03 |g| 0.106 805.31K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.5247 lr 1.73e-03 |g| 0.099 805.33K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.4938 lr 1.67e-03 |g| 0.122 805.34K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.5248 lr 1.60e-03 |g| 0.110 805.35K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.5021 lr 1.54e-03 |g| 0.103 805.37K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.4911 lr 1.48e-03 |g| 0.116 805.38K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.4926 lr 1.42e-03 |g| 0.121 805.39K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.5877 lr 1.37e-03 |g| 0.103 805.40K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.4896 lr 1.31e-03 |g| 0.101 805.42K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.4839 lr 1.26e-03 |g| 0.101 805.43K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4536 lr 1.21e-03 |g| 0.112 805.44K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4134 lr 1.16e-03 |g| 0.106 805.45K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4275 lr 1.11e-03 |g| 0.103 805.46K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4338 lr 1.06e-03 |g| 0.109 805.45K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.4064 lr 1.01e-03 |g| 0.101 805.46K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.4027 lr 9.72e-04 |g| 0.109 805.47K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.3715 lr 9.30e-04 |g| 0.091 805.48K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.4388 lr 8.91e-04 |g| 0.087 805.49K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3968 lr 8.54e-04 |g| 0.112 805.50K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3408 lr 8.19e-04 |g| 0.105 805.51K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3539 lr 7.86e-04 |g| 0.097 805.52K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3898 lr 7.55e-04 |g| 0.109 805.53K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.3592 lr 7.26e-04 |g| 0.109 805.54K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.4513 lr 6.99e-04 |g| 0.098 805.54K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3376 lr 6.74e-04 |g| 0.090 805.55K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2629 lr 6.52e-04 |g| 0.092 805.56K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3635 lr 6.32e-04 |g| 0.103 805.57K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3330 lr 6.14e-04 |g| 0.094 805.58K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3113 lr 5.98e-04 |g| 0.092 805.58K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3555 lr 5.85e-04 |g| 0.093 805.59K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3377 lr 5.74e-04 |g| 0.093 805.60K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3496 lr 5.65e-04 |g| 0.097 805.61K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3471 lr 5.59e-04 |g| 0.102 805.62K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3321 lr 5.54e-04 |g| 0.094 805.62K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3341 lr 5.53e-04 |g| 0.094 805.63K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3679 lr 5.52e-04 |g| 0.105 805.61K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.939s (compilation excluded) + validation loss 4.3190 in 0.911s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1338/stdout.log 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0000000000000000000000000000000000000000..48641deeb47cd488b503b90886a27289031091b7 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 09:59:11.423987 3322370 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:59:11.425035 3421352 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:59:11.425969 3375347 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 09:59:11.429889 157812 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.89s, eval in 17.86s; periodic validation disabled + 1/1143 ────────────────── loss 10.8872 lr 4.85e-05 |g| 2.751 471.52K tok/s + 10/1143 ────────────────── loss 9.4655 lr 4.85e-04 |g| 1.625 701.63K tok/s + 20/1143 ────────────────── loss 7.8112 lr 9.69e-04 |g| 1.031 750.76K tok/s + 30/1143 ────────────────── loss 7.6452 lr 1.45e-03 |g| 2.251 768.31K tok/s + 40/1143 ━───────────────── loss 7.4617 lr 1.94e-03 |g| 0.674 777.67K tok/s + 50/1143 ━───────────────── loss 7.4189 lr 2.42e-03 |g| 1.902 783.40K tok/s + 60/1143 ━───────────────── loss 7.1272 lr 2.91e-03 |g| 0.644 787.21K tok/s + 70/1143 ━───────────────── loss 7.0324 lr 3.39e-03 |g| 0.400 789.98K tok/s + 80/1143 ━───────────────── loss 7.1576 lr 3.88e-03 |g| 1.027 792.00K tok/s + 90/1143 ━───────────────── loss 7.0187 lr 4.36e-03 |g| 0.561 793.58K tok/s + 100/1143 ━━──────────────── loss 6.7236 lr 4.85e-03 |g| 0.459 794.86K tok/s + 110/1143 ━━──────────────── loss 6.6439 lr 5.33e-03 |g| 0.518 795.91K tok/s + 120/1143 ━━──────────────── loss 6.6918 lr 5.52e-03 |g| 0.574 796.74K tok/s + 130/1143 ━━──────────────── loss 6.5279 lr 5.52e-03 |g| 0.321 797.47K tok/s + 140/1143 ━━──────────────── loss 6.5424 lr 5.52e-03 |g| 0.369 798.07K tok/s + 150/1143 ━━──────────────── loss 6.4706 lr 5.51e-03 |g| 0.305 798.63K tok/s + 160/1143 ━━━─────────────── loss 6.4175 lr 5.50e-03 |g| 0.638 799.11K tok/s + 170/1143 ━━━─────────────── loss 6.3485 lr 5.49e-03 |g| 0.201 799.55K tok/s + 180/1143 ━━━─────────────── loss 6.1340 lr 5.47e-03 |g| 0.243 799.93K tok/s + 190/1143 ━━━─────────────── loss 6.1723 lr 5.46e-03 |g| 0.283 800.26K tok/s + 200/1143 ━━━─────────────── loss 6.0693 lr 5.44e-03 |g| 0.250 800.57K tok/s + 210/1143 ━━━─────────────── loss 5.9393 lr 5.42e-03 |g| 0.245 800.86K tok/s + 220/1143 ━━━─────────────── loss 6.0022 lr 5.40e-03 |g| 0.219 801.12K tok/s + 230/1143 ━━━━────────────── loss 6.0121 lr 5.37e-03 |g| 0.261 801.35K tok/s + 240/1143 ━━━━────────────── loss 5.9227 lr 5.34e-03 |g| 0.172 801.54K tok/s + 250/1143 ━━━━────────────── loss 5.7660 lr 5.31e-03 |g| 0.240 801.73K tok/s + 260/1143 ━━━━────────────── loss 5.8528 lr 5.28e-03 |g| 0.236 801.91K tok/s + 270/1143 ━━━━────────────── loss 5.7001 lr 5.25e-03 |g| 0.165 802.08K tok/s + 280/1143 ━━━━────────────── loss 5.6446 lr 5.21e-03 |g| 0.207 802.23K tok/s + 290/1143 ━━━━━───────────── loss 5.6188 lr 5.17e-03 |g| 0.167 802.38K tok/s + 300/1143 ━━━━━───────────── loss 5.6364 lr 5.13e-03 |g| 0.205 802.52K tok/s + 310/1143 ━━━━━───────────── loss 5.5003 lr 5.09e-03 |g| 0.126 802.65K tok/s + 320/1143 ━━━━━───────────── loss 5.4838 lr 5.05e-03 |g| 0.148 802.77K tok/s + 330/1143 ━━━━━───────────── loss 5.5523 lr 5.00e-03 |g| 0.230 802.88K tok/s + 340/1143 ━━━━━───────────── loss 5.4625 lr 4.96e-03 |g| 0.105 802.99K tok/s + 350/1143 ━━━━━━──────────── loss 5.3631 lr 4.91e-03 |g| 0.192 803.08K tok/s + 360/1143 ━━━━━━──────────── loss 5.3771 lr 4.86e-03 |g| 0.200 803.17K tok/s + 370/1143 ━━━━━━──────────── loss 5.3090 lr 4.80e-03 |g| 0.160 803.26K tok/s + 380/1143 ━━━━━━──────────── loss 5.3197 lr 4.75e-03 |g| 0.130 803.34K tok/s + 390/1143 ━━━━━━──────────── loss 5.2447 lr 4.69e-03 |g| 0.129 803.42K tok/s + 400/1143 ━━━━━━──────────── loss 5.3015 lr 4.64e-03 |g| 0.182 803.50K tok/s + 410/1143 ━━━━━━──────────── loss 5.2901 lr 4.58e-03 |g| 0.169 803.56K tok/s + 420/1143 ━━━━━━━─────────── loss 5.1733 lr 4.52e-03 |g| 0.170 803.63K tok/s + 430/1143 ━━━━━━━─────────── loss 5.1935 lr 4.45e-03 |g| 0.214 803.69K tok/s + 440/1143 ━━━━━━━─────────── loss 5.2084 lr 4.39e-03 |g| 0.144 803.75K tok/s + 450/1143 ━━━━━━━─────────── loss 5.0856 lr 4.33e-03 |g| 0.137 803.79K tok/s + 460/1143 ━━━━━━━─────────── loss 5.1613 lr 4.26e-03 |g| 0.156 803.84K tok/s + 470/1143 ━━━━━━━─────────── loss 5.0525 lr 4.19e-03 |g| 0.131 803.90K tok/s + 480/1143 ━━━━━━━━────────── loss 5.0621 lr 4.13e-03 |g| 0.110 803.95K tok/s + 490/1143 ━━━━━━━━────────── loss 5.0208 lr 4.06e-03 |g| 0.157 804.00K tok/s + 500/1143 ━━━━━━━━────────── loss 5.0343 lr 3.99e-03 |g| 0.126 804.05K tok/s + 510/1143 ━━━━━━━━────────── loss 4.9553 lr 3.92e-03 |g| 0.140 804.10K tok/s + 520/1143 ━━━━━━━━────────── loss 5.0094 lr 3.85e-03 |g| 0.161 804.14K tok/s + 530/1143 ━━━━━━━━────────── loss 4.9066 lr 3.77e-03 |g| 0.153 804.16K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.9840 lr 3.70e-03 |g| 0.107 804.20K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.8961 lr 3.63e-03 |g| 0.127 804.24K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.9557 lr 3.55e-03 |g| 0.134 804.28K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.8348 lr 3.48e-03 |g| 0.140 804.32K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.8488 lr 3.41e-03 |g| 0.143 804.35K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.8635 lr 3.33e-03 |g| 0.139 804.37K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7911 lr 3.25e-03 |g| 0.129 804.40K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.7315 lr 3.18e-03 |g| 0.123 804.43K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7668 lr 3.10e-03 |g| 0.150 804.45K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7599 lr 3.03e-03 |g| 0.130 804.46K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.7541 lr 2.95e-03 |g| 0.117 804.49K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.7192 lr 2.88e-03 |g| 0.117 804.52K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.7165 lr 2.80e-03 |g| 0.132 804.55K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6626 lr 2.72e-03 |g| 0.115 804.58K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.6555 lr 2.65e-03 |g| 0.132 804.60K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.6498 lr 2.57e-03 |g| 0.118 804.63K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.6153 lr 2.50e-03 |g| 0.133 804.66K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6116 lr 2.43e-03 |g| 0.114 804.68K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.6796 lr 2.35e-03 |g| 0.120 804.70K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.5886 lr 2.28e-03 |g| 0.123 804.73K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.5826 lr 2.21e-03 |g| 0.101 804.75K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.5890 lr 2.14e-03 |g| 0.111 804.76K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.5939 lr 2.07e-03 |g| 0.131 804.77K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.5208 lr 2.00e-03 |g| 0.132 804.79K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.5167 lr 1.93e-03 |g| 0.109 804.82K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.4202 lr 1.86e-03 |g| 0.113 804.84K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.5910 lr 1.80e-03 |g| 0.106 804.86K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4946 lr 1.73e-03 |g| 0.103 804.87K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.5284 lr 1.67e-03 |g| 0.121 804.89K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.4278 lr 1.60e-03 |g| 0.103 804.91K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.4388 lr 1.54e-03 |g| 0.115 804.93K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.4263 lr 1.48e-03 |g| 0.109 804.94K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.4349 lr 1.42e-03 |g| 0.101 804.96K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.4280 lr 1.37e-03 |g| 0.114 804.98K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.3947 lr 1.31e-03 |g| 0.111 804.99K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.4429 lr 1.26e-03 |g| 0.101 805.01K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.4311 lr 1.21e-03 |g| 0.100 805.02K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.4074 lr 1.16e-03 |g| 0.099 805.03K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.4440 lr 1.11e-03 |g| 0.096 805.05K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.4019 lr 1.06e-03 |g| 0.107 805.06K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3614 lr 1.01e-03 |g| 0.096 805.08K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3181 lr 9.72e-04 |g| 0.101 805.09K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.3803 lr 9.30e-04 |g| 0.101 805.11K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.4350 lr 8.91e-04 |g| 0.105 805.12K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3402 lr 8.54e-04 |g| 0.107 805.13K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.3813 lr 8.19e-04 |g| 0.107 805.15K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3725 lr 7.86e-04 |g| 0.093 805.16K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.3243 lr 7.55e-04 |g| 0.100 805.17K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.3357 lr 7.26e-04 |g| 0.099 805.18K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3986 lr 6.99e-04 |g| 0.103 805.19K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.3722 lr 6.74e-04 |g| 0.093 805.20K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3101 lr 6.52e-04 |g| 0.096 805.21K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2546 lr 6.32e-04 |g| 0.096 805.22K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3438 lr 6.14e-04 |g| 0.098 805.23K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3253 lr 5.98e-04 |g| 0.108 805.25K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2811 lr 5.85e-04 |g| 0.093 805.26K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3362 lr 5.74e-04 |g| 0.112 805.27K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2725 lr 5.65e-04 |g| 0.104 805.28K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2819 lr 5.59e-04 |g| 0.101 805.29K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2098 lr 5.54e-04 |g| 0.094 805.30K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2532 lr 5.53e-04 |g| 0.099 805.30K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2283 lr 5.52e-04 |g| 0.099 805.28K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 372.092s (compilation excluded) + validation loss 4.2807 in 0.913s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-8-s1339/stdout.log 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0000000000000000000000000000000000000000..ae47ccae8a70784223aa716187042cd7663da86d --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log @@ -0,0 +1,170 @@ +E0819 10:36:27.606602 3410571 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:36:27.607423 198904 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:36:27.607701 3456675 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:36:27.608371 3357498 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.96s, eval in 18.65s; periodic validation disabled + 1/1143 ────────────────── loss 10.9471 lr 2.42e-05 |g| 2.528 471.03K tok/s + 10/1143 ────────────────── loss 9.9447 lr 2.42e-04 |g| 1.604 674.87K tok/s + 20/1143 ────────────────── loss 8.6316 lr 4.85e-04 |g| 1.490 735.09K tok/s + 30/1143 ────────────────── loss 7.6216 lr 7.27e-04 |g| 0.420 757.57K tok/s + 40/1143 ━───────────────── loss 7.3598 lr 9.69e-04 |g| 0.339 769.25K tok/s + 50/1143 ━───────────────── loss 7.1565 lr 1.21e-03 |g| 0.520 776.45K tok/s + 60/1143 ━───────────────── loss 7.0651 lr 1.45e-03 |g| 0.620 781.32K tok/s + 70/1143 ━───────────────── loss 6.9480 lr 1.70e-03 |g| 0.436 784.81K tok/s + 80/1143 ━───────────────── loss 6.7076 lr 1.94e-03 |g| 0.284 787.45K tok/s + 90/1143 ━───────────────── loss 6.6667 lr 2.18e-03 |g| 0.462 789.50K tok/s + 100/1143 ━━──────────────── loss 6.5201 lr 2.42e-03 |g| 0.493 791.05K tok/s + 110/1143 ━━──────────────── loss 6.4494 lr 2.67e-03 |g| 0.650 792.44K tok/s + 120/1143 ━━──────────────── loss 6.4407 lr 2.76e-03 |g| 0.715 793.59K tok/s + 130/1143 ━━──────────────── loss 6.2841 lr 2.76e-03 |g| 0.285 794.55K tok/s + 140/1143 ━━──────────────── loss 6.1703 lr 2.76e-03 |g| 0.673 795.40K tok/s + 150/1143 ━━──────────────── loss 6.0017 lr 2.75e-03 |g| 0.494 796.12K tok/s + 160/1143 ━━━─────────────── loss 6.0238 lr 2.75e-03 |g| 0.472 796.74K tok/s + 170/1143 ━━━─────────────── loss 5.8534 lr 2.74e-03 |g| 0.311 797.30K tok/s + 180/1143 ━━━─────────────── loss 5.8962 lr 2.74e-03 |g| 0.463 797.80K tok/s + 190/1143 ━━━─────────────── loss 5.7385 lr 2.73e-03 |g| 0.407 798.24K tok/s + 200/1143 ━━━─────────────── loss 5.7871 lr 2.72e-03 |g| 0.349 798.65K tok/s + 210/1143 ━━━─────────────── loss 5.6657 lr 2.71e-03 |g| 0.422 799.01K tok/s + 220/1143 ━━━─────────────── loss 5.6486 lr 2.70e-03 |g| 0.260 799.33K tok/s + 230/1143 ━━━━────────────── loss 5.6163 lr 2.68e-03 |g| 0.329 799.60K tok/s + 240/1143 ━━━━────────────── loss 5.6011 lr 2.67e-03 |g| 0.368 799.89K tok/s + 250/1143 ━━━━────────────── loss 5.4197 lr 2.66e-03 |g| 0.393 800.14K tok/s + 260/1143 ━━━━────────────── loss 5.4495 lr 2.64e-03 |g| 0.336 800.37K tok/s + 270/1143 ━━━━────────────── loss 5.3538 lr 2.62e-03 |g| 0.272 800.59K tok/s + 280/1143 ━━━━────────────── loss 5.3472 lr 2.61e-03 |g| 0.508 800.79K tok/s + 290/1143 ━━━━━───────────── loss 5.2795 lr 2.59e-03 |g| 0.315 800.98K tok/s + 300/1143 ━━━━━───────────── loss 5.2152 lr 2.57e-03 |g| 0.373 801.17K tok/s + 310/1143 ━━━━━───────────── loss 5.2158 lr 2.55e-03 |g| 0.341 801.32K tok/s + 320/1143 ━━━━━───────────── loss 5.1690 lr 2.52e-03 |g| 0.284 801.48K tok/s + 330/1143 ━━━━━───────────── loss 5.0979 lr 2.50e-03 |g| 0.339 801.62K tok/s + 340/1143 ━━━━━───────────── loss 5.1123 lr 2.48e-03 |g| 0.250 801.76K tok/s + 350/1143 ━━━━━━──────────── loss 5.0922 lr 2.45e-03 |g| 0.458 801.89K tok/s + 360/1143 ━━━━━━──────────── loss 5.1254 lr 2.43e-03 |g| 0.283 802.01K tok/s + 370/1143 ━━━━━━──────────── loss 5.0952 lr 2.40e-03 |g| 0.360 802.13K tok/s + 380/1143 ━━━━━━──────────── loss 5.0595 lr 2.37e-03 |g| 0.230 802.25K tok/s + 390/1143 ━━━━━━──────────── loss 5.0175 lr 2.35e-03 |g| 0.358 802.35K tok/s + 400/1143 ━━━━━━──────────── loss 5.0595 lr 2.32e-03 |g| 0.258 802.45K tok/s + 410/1143 ━━━━━━──────────── loss 4.9468 lr 2.29e-03 |g| 0.389 802.54K tok/s + 420/1143 ━━━━━━━─────────── loss 4.9671 lr 2.26e-03 |g| 0.329 802.63K tok/s + 430/1143 ━━━━━━━─────────── loss 4.9472 lr 2.23e-03 |g| 0.249 802.71K tok/s + 440/1143 ━━━━━━━─────────── loss 4.9586 lr 2.20e-03 |g| 0.327 802.80K tok/s + 450/1143 ━━━━━━━─────────── loss 4.8033 lr 2.16e-03 |g| 0.242 802.87K tok/s + 460/1143 ━━━━━━━─────────── loss 4.8731 lr 2.13e-03 |g| 0.212 802.95K tok/s + 470/1143 ━━━━━━━─────────── loss 4.8317 lr 2.10e-03 |g| 0.211 803.02K tok/s + 480/1143 ━━━━━━━━────────── loss 4.7824 lr 2.06e-03 |g| 0.215 803.09K tok/s + 490/1143 ━━━━━━━━────────── loss 4.8189 lr 2.03e-03 |g| 0.300 803.15K tok/s + 500/1143 ━━━━━━━━────────── loss 4.7932 lr 1.99e-03 |g| 0.237 803.22K tok/s + 510/1143 ━━━━━━━━────────── loss 4.7037 lr 1.96e-03 |g| 0.247 803.28K tok/s + 520/1143 ━━━━━━━━────────── loss 4.6760 lr 1.92e-03 |g| 0.253 803.34K tok/s + 530/1143 ━━━━━━━━────────── loss 4.7941 lr 1.89e-03 |g| 0.215 803.40K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.7060 lr 1.85e-03 |g| 0.210 803.45K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.7386 lr 1.81e-03 |g| 0.250 803.50K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.6598 lr 1.78e-03 |g| 0.195 803.55K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.7488 lr 1.74e-03 |g| 0.190 803.60K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.7684 lr 1.70e-03 |g| 0.213 803.65K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.6891 lr 1.66e-03 |g| 0.227 803.70K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.5930 lr 1.63e-03 |g| 0.271 803.74K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.6704 lr 1.59e-03 |g| 0.248 803.78K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.5513 lr 1.55e-03 |g| 0.242 803.83K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.5476 lr 1.51e-03 |g| 0.194 803.84K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.5525 lr 1.48e-03 |g| 0.192 803.88K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.5550 lr 1.44e-03 |g| 0.222 803.92K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.6253 lr 1.40e-03 |g| 0.189 803.96K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.5128 lr 1.36e-03 |g| 0.189 803.99K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.6097 lr 1.32e-03 |g| 0.207 804.03K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.4933 lr 1.29e-03 |g| 0.197 804.06K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.4543 lr 1.25e-03 |g| 0.200 804.09K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.4429 lr 1.21e-03 |g| 0.204 804.12K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.4644 lr 1.18e-03 |g| 0.185 804.15K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.5005 lr 1.14e-03 |g| 0.230 804.18K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.3688 lr 1.10e-03 |g| 0.234 804.21K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.4255 lr 1.07e-03 |g| 0.224 804.24K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.3814 lr 1.03e-03 |g| 0.172 804.27K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.3825 lr 9.99e-04 |g| 0.185 804.30K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.4184 lr 9.65e-04 |g| 0.182 804.32K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.4111 lr 9.31e-04 |g| 0.178 804.35K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.3468 lr 8.98e-04 |g| 0.177 804.37K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.3101 lr 8.65e-04 |g| 0.172 804.40K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.3811 lr 8.33e-04 |g| 0.167 804.42K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.4026 lr 8.02e-04 |g| 0.180 804.44K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.2920 lr 7.71e-04 |g| 0.207 804.47K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.3187 lr 7.41e-04 |g| 0.181 804.49K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.2486 lr 7.12e-04 |g| 0.185 804.51K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.3324 lr 6.84e-04 |g| 0.152 804.53K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.2834 lr 6.56e-04 |g| 0.174 804.56K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.4339 lr 6.29e-04 |g| 0.156 804.58K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.3099 lr 6.03e-04 |g| 0.167 804.59K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.3617 lr 5.78e-04 |g| 0.180 804.61K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.3015 lr 5.53e-04 |g| 0.156 804.63K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.3202 lr 5.30e-04 |g| 0.153 804.65K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.2773 lr 5.07e-04 |g| 0.155 804.67K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.2171 lr 4.86e-04 |g| 0.147 804.69K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.3336 lr 4.65e-04 |g| 0.165 804.70K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.2189 lr 4.46e-04 |g| 0.147 804.72K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.2847 lr 4.27e-04 |g| 0.146 804.74K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.2842 lr 4.09e-04 |g| 0.158 804.75K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.1773 lr 3.93e-04 |g| 0.134 804.77K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.2882 lr 3.77e-04 |g| 0.146 804.78K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2064 lr 3.63e-04 |g| 0.172 804.80K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.2255 lr 3.49e-04 |g| 0.147 804.81K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.2498 lr 3.37e-04 |g| 0.142 804.81K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2005 lr 3.26e-04 |g| 0.145 804.82K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1866 lr 3.16e-04 |g| 0.139 804.84K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1985 lr 3.07e-04 |g| 0.144 804.85K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1697 lr 2.99e-04 |g| 0.134 804.87K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2290 lr 2.92e-04 |g| 0.177 804.88K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2521 lr 2.87e-04 |g| 0.143 804.89K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1625 lr 2.83e-04 |g| 0.162 804.91K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2095 lr 2.79e-04 |g| 0.152 804.92K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1015 lr 2.77e-04 |g| 0.149 804.93K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1839 lr 2.76e-04 |g| 0.154 804.94K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2232 lr 2.76e-04 |g| 0.157 804.92K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 372.259s (compilation excluded) + validation loss 4.1846 in 0.914s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log 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0000000000000000000000000000000000000000..828669fc7e9566989bf67b0209b20bbe6aeb3c06 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1338/stderr.log @@ -0,0 +1,170 @@ +E0819 10:45:47.401966 3366161 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:45:47.402748 3419303 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:45:47.403106 3465486 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:45:47.403487 208697 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 50.39s, eval in 17.98s; periodic validation disabled + 1/1143 ────────────────── loss 10.9072 lr 2.42e-05 |g| 2.213 484.50K tok/s + 10/1143 ────────────────── loss 9.9515 lr 2.42e-04 |g| 1.596 719.44K tok/s + 20/1143 ────────────────── loss 8.6412 lr 4.85e-04 |g| 1.463 760.77K tok/s + 30/1143 ────────────────── loss 7.6300 lr 7.27e-04 |g| 0.569 775.58K tok/s + 40/1143 ━───────────────── loss 7.5497 lr 9.69e-04 |g| 0.734 783.23K tok/s + 50/1143 ━───────────────── loss 7.3854 lr 1.21e-03 |g| 0.364 787.92K tok/s + 60/1143 ━───────────────── loss 7.2264 lr 1.45e-03 |g| 0.460 791.04K tok/s + 70/1143 ━───────────────── loss 7.1406 lr 1.70e-03 |g| 0.725 793.27K tok/s + 80/1143 ━───────────────── loss 6.9294 lr 1.94e-03 |g| 0.907 794.83K tok/s + 90/1143 ━───────────────── loss 6.9337 lr 2.18e-03 |g| 0.773 796.12K tok/s + 100/1143 ━━──────────────── loss 6.7167 lr 2.42e-03 |g| 0.271 797.17K tok/s + 110/1143 ━━──────────────── loss 6.7477 lr 2.67e-03 |g| 1.214 798.02K tok/s + 120/1143 ━━──────────────── loss 6.5204 lr 2.76e-03 |g| 0.241 798.73K tok/s + 130/1143 ━━──────────────── loss 6.5971 lr 2.76e-03 |g| 0.878 799.33K tok/s + 140/1143 ━━──────────────── loss 6.4683 lr 2.76e-03 |g| 0.390 799.84K tok/s + 150/1143 ━━──────────────── loss 6.3645 lr 2.75e-03 |g| 0.334 800.28K tok/s + 160/1143 ━━━─────────────── loss 6.3440 lr 2.75e-03 |g| 0.461 800.67K tok/s + 170/1143 ━━━─────────────── loss 6.2211 lr 2.74e-03 |g| 0.353 801.01K tok/s + 180/1143 ━━━─────────────── loss 6.1454 lr 2.74e-03 |g| 0.427 801.32K tok/s + 190/1143 ━━━─────────────── loss 6.0524 lr 2.73e-03 |g| 0.357 801.59K tok/s + 200/1143 ━━━─────────────── loss 5.9308 lr 2.72e-03 |g| 0.447 801.85K tok/s + 210/1143 ━━━─────────────── loss 5.8573 lr 2.71e-03 |g| 0.273 802.06K tok/s + 220/1143 ━━━─────────────── loss 5.8681 lr 2.70e-03 |g| 0.388 802.28K tok/s + 230/1143 ━━━━────────────── loss 5.7829 lr 2.68e-03 |g| 0.384 802.46K tok/s + 240/1143 ━━━━────────────── loss 5.6917 lr 2.67e-03 |g| 0.271 802.63K tok/s + 250/1143 ━━━━────────────── loss 5.7318 lr 2.66e-03 |g| 0.347 802.79K tok/s + 260/1143 ━━━━────────────── loss 5.6142 lr 2.64e-03 |g| 0.364 802.93K tok/s + 270/1143 ━━━━────────────── loss 5.6054 lr 2.62e-03 |g| 0.330 803.07K tok/s + 280/1143 ━━━━────────────── loss 5.5760 lr 2.61e-03 |g| 0.279 803.19K tok/s + 290/1143 ━━━━━───────────── loss 5.4372 lr 2.59e-03 |g| 0.286 803.31K tok/s + 300/1143 ━━━━━───────────── loss 5.4477 lr 2.57e-03 |g| 0.303 803.42K tok/s + 310/1143 ━━━━━───────────── loss 5.4885 lr 2.55e-03 |g| 0.378 803.52K tok/s + 320/1143 ━━━━━───────────── loss 5.5062 lr 2.52e-03 |g| 0.348 803.62K tok/s + 330/1143 ━━━━━───────────── loss 5.3197 lr 2.50e-03 |g| 0.301 803.71K tok/s + 340/1143 ━━━━━───────────── loss 5.2774 lr 2.48e-03 |g| 0.309 803.79K tok/s + 350/1143 ━━━━━━──────────── loss 5.3712 lr 2.45e-03 |g| 0.344 803.87K tok/s + 360/1143 ━━━━━━──────────── loss 5.3312 lr 2.43e-03 |g| 0.706 803.95K tok/s + 370/1143 ━━━━━━──────────── loss 5.2359 lr 2.40e-03 |g| 0.285 804.02K tok/s + 380/1143 ━━━━━━──────────── loss 5.1461 lr 2.37e-03 |g| 0.223 804.08K tok/s + 390/1143 ━━━━━━──────────── loss 5.1203 lr 2.35e-03 |g| 0.252 804.15K tok/s + 400/1143 ━━━━━━──────────── loss 5.1296 lr 2.32e-03 |g| 0.193 804.21K tok/s + 410/1143 ━━━━━━──────────── loss 5.1495 lr 2.29e-03 |g| 0.305 804.27K tok/s + 420/1143 ━━━━━━━─────────── loss 5.0487 lr 2.26e-03 |g| 0.252 804.32K tok/s + 430/1143 ━━━━━━━─────────── loss 5.1235 lr 2.23e-03 |g| 0.191 804.38K tok/s + 440/1143 ━━━━━━━─────────── loss 5.0548 lr 2.20e-03 |g| 0.208 804.43K tok/s + 450/1143 ━━━━━━━─────────── loss 5.0314 lr 2.16e-03 |g| 0.241 804.48K tok/s + 460/1143 ━━━━━━━─────────── loss 5.0450 lr 2.13e-03 |g| 0.227 804.52K tok/s + 470/1143 ━━━━━━━─────────── loss 4.9345 lr 2.10e-03 |g| 0.257 804.57K tok/s + 480/1143 ━━━━━━━━────────── loss 5.0122 lr 2.06e-03 |g| 0.284 804.61K tok/s + 490/1143 ━━━━━━━━────────── loss 4.9580 lr 2.03e-03 |g| 0.200 804.65K tok/s + 500/1143 ━━━━━━━━────────── loss 4.9382 lr 1.99e-03 |g| 0.277 804.69K tok/s + 510/1143 ━━━━━━━━────────── loss 4.9323 lr 1.96e-03 |g| 0.200 804.73K tok/s + 520/1143 ━━━━━━━━────────── loss 4.8702 lr 1.92e-03 |g| 0.269 804.76K tok/s + 530/1143 ━━━━━━━━────────── loss 4.9386 lr 1.89e-03 |g| 0.188 804.80K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.7896 lr 1.85e-03 |g| 0.234 804.83K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.8188 lr 1.81e-03 |g| 0.218 804.86K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.8530 lr 1.78e-03 |g| 0.216 804.90K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.7923 lr 1.74e-03 |g| 0.201 804.93K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.8015 lr 1.70e-03 |g| 0.213 804.96K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.7818 lr 1.66e-03 |g| 0.283 804.97K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.7697 lr 1.63e-03 |g| 0.269 805.00K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.7369 lr 1.59e-03 |g| 0.213 805.02K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.7345 lr 1.55e-03 |g| 0.207 805.05K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.7157 lr 1.51e-03 |g| 0.222 805.06K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.6465 lr 1.48e-03 |g| 0.194 805.09K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.6301 lr 1.44e-03 |g| 0.194 805.11K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.6385 lr 1.40e-03 |g| 0.215 805.13K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.6496 lr 1.36e-03 |g| 0.175 805.15K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.7862 lr 1.32e-03 |g| 0.237 805.17K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.5914 lr 1.29e-03 |g| 0.165 805.19K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.5404 lr 1.25e-03 |g| 0.238 805.21K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.6273 lr 1.21e-03 |g| 0.171 805.24K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.5564 lr 1.18e-03 |g| 0.214 805.26K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.5885 lr 1.14e-03 |g| 0.198 805.27K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.4559 lr 1.10e-03 |g| 0.219 805.28K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.4931 lr 1.07e-03 |g| 0.174 805.30K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.4533 lr 1.03e-03 |g| 0.244 805.32K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.4611 lr 9.99e-04 |g| 0.193 805.33K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.5083 lr 9.65e-04 |g| 0.188 805.35K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.4663 lr 9.31e-04 |g| 0.190 805.37K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.5128 lr 8.98e-04 |g| 0.176 805.38K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.4136 lr 8.65e-04 |g| 0.147 805.40K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.3863 lr 8.33e-04 |g| 0.184 805.41K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.4226 lr 8.02e-04 |g| 0.181 805.43K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.4052 lr 7.71e-04 |g| 0.169 805.44K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.3876 lr 7.41e-04 |g| 0.187 805.46K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.3909 lr 7.12e-04 |g| 0.180 805.46K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.4951 lr 6.84e-04 |g| 0.159 805.48K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.3910 lr 6.56e-04 |g| 0.157 805.49K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.3906 lr 6.29e-04 |g| 0.167 805.50K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.3556 lr 6.03e-04 |g| 0.178 805.51K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.3225 lr 5.78e-04 |g| 0.164 805.53K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.3459 lr 5.53e-04 |g| 0.167 805.54K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.3417 lr 5.30e-04 |g| 0.170 805.55K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.3107 lr 5.07e-04 |g| 0.146 805.56K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.3117 lr 4.86e-04 |g| 0.146 805.58K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.2803 lr 4.65e-04 |g| 0.142 805.59K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.3540 lr 4.46e-04 |g| 0.167 805.60K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.3011 lr 4.27e-04 |g| 0.166 805.61K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.2523 lr 4.09e-04 |g| 0.153 805.62K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.2685 lr 3.93e-04 |g| 0.143 805.63K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.2987 lr 3.77e-04 |g| 0.157 805.64K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2692 lr 3.63e-04 |g| 0.139 805.65K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3743 lr 3.49e-04 |g| 0.151 805.66K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.2504 lr 3.37e-04 |g| 0.154 805.67K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1758 lr 3.26e-04 |g| 0.137 805.68K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2774 lr 3.16e-04 |g| 0.144 805.69K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2526 lr 3.07e-04 |g| 0.151 805.70K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2299 lr 2.99e-04 |g| 0.153 805.71K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2728 lr 2.92e-04 |g| 0.145 805.72K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2569 lr 2.87e-04 |g| 0.153 805.73K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2706 lr 2.83e-04 |g| 0.162 805.74K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2643 lr 2.79e-04 |g| 0.131 805.74K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2504 lr 2.77e-04 |g| 0.141 805.75K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2554 lr 2.76e-04 |g| 0.134 805.76K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2921 lr 2.76e-04 |g| 0.146 805.74K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.879s (compilation excluded) + validation loss 4.2429 in 0.914s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1338/stdout.log 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0000000000000000000000000000000000000000..a3af4383b6289f46472cae1f733885e103f3fbd8 --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1339/stderr.log @@ -0,0 +1,170 @@ +E0819 10:54:58.268508 3374980 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:54:58.269267 3474200 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:54:58.269687 3427849 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 10:54:58.270093 218328 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 32 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 830d965b4dc6 │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 1,143 steps │ + │ train tokens 299.63M │ + │ traced FLOPs 221095.97T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 52.99s, eval in 17.94s; periodic validation disabled + 1/1143 ────────────────── loss 10.8872 lr 2.42e-05 |g| 2.751 643.90K tok/s + 10/1143 ────────────────── loss 9.8861 lr 2.42e-04 |g| 1.636 744.03K tok/s + 20/1143 ────────────────── loss 8.5720 lr 4.85e-04 |g| 1.463 774.28K tok/s + 30/1143 ────────────────── loss 7.7003 lr 7.27e-04 |g| 0.636 784.93K tok/s + 40/1143 ━───────────────── loss 7.4480 lr 9.69e-04 |g| 1.665 790.34K tok/s + 50/1143 ━───────────────── loss 7.1985 lr 1.21e-03 |g| 0.437 793.61K tok/s + 60/1143 ━───────────────── loss 6.9542 lr 1.45e-03 |g| 0.677 795.78K tok/s + 70/1143 ━───────────────── loss 6.8088 lr 1.70e-03 |g| 0.580 797.32K tok/s + 80/1143 ━───────────────── loss 6.7779 lr 1.94e-03 |g| 0.644 798.49K tok/s + 90/1143 ━───────────────── loss 6.6278 lr 2.18e-03 |g| 0.512 799.36K tok/s + 100/1143 ━━──────────────── loss 6.4963 lr 2.42e-03 |g| 0.651 800.09K tok/s + 110/1143 ━━──────────────── loss 6.4106 lr 2.67e-03 |g| 0.355 800.67K tok/s + 120/1143 ━━──────────────── loss 6.4178 lr 2.76e-03 |g| 0.381 801.15K tok/s + 130/1143 ━━──────────────── loss 6.2771 lr 2.76e-03 |g| 0.528 801.57K tok/s + 140/1143 ━━──────────────── loss 6.1570 lr 2.76e-03 |g| 0.385 801.94K tok/s + 150/1143 ━━──────────────── loss 6.0329 lr 2.75e-03 |g| 0.425 802.24K tok/s + 160/1143 ━━━─────────────── loss 6.0985 lr 2.75e-03 |g| 0.605 802.52K tok/s + 170/1143 ━━━─────────────── loss 6.0219 lr 2.74e-03 |g| 0.464 802.74K tok/s + 180/1143 ━━━─────────────── loss 5.8017 lr 2.74e-03 |g| 0.473 802.97K tok/s + 190/1143 ━━━─────────────── loss 5.8160 lr 2.73e-03 |g| 0.385 803.16K tok/s + 200/1143 ━━━─────────────── loss 5.7098 lr 2.72e-03 |g| 0.465 803.34K tok/s + 210/1143 ━━━─────────────── loss 5.5843 lr 2.71e-03 |g| 0.354 803.49K tok/s + 220/1143 ━━━─────────────── loss 5.6483 lr 2.70e-03 |g| 0.378 803.64K tok/s + 230/1143 ━━━━────────────── loss 5.6671 lr 2.68e-03 |g| 0.415 803.78K tok/s + 240/1143 ━━━━────────────── loss 5.5744 lr 2.67e-03 |g| 0.317 803.90K tok/s + 250/1143 ━━━━────────────── loss 5.4241 lr 2.66e-03 |g| 0.329 804.01K tok/s + 260/1143 ━━━━────────────── loss 5.5049 lr 2.64e-03 |g| 0.320 804.11K tok/s + 270/1143 ━━━━────────────── loss 5.3990 lr 2.62e-03 |g| 0.293 804.20K tok/s + 280/1143 ━━━━────────────── loss 5.2962 lr 2.61e-03 |g| 0.247 804.28K tok/s + 290/1143 ━━━━━───────────── loss 5.3000 lr 2.59e-03 |g| 0.317 804.36K tok/s + 300/1143 ━━━━━───────────── loss 5.3006 lr 2.57e-03 |g| 0.251 804.43K tok/s + 310/1143 ━━━━━───────────── loss 5.2045 lr 2.55e-03 |g| 0.376 804.50K tok/s + 320/1143 ━━━━━───────────── loss 5.1815 lr 2.52e-03 |g| 0.217 804.57K tok/s + 330/1143 ━━━━━───────────── loss 5.2133 lr 2.50e-03 |g| 0.306 804.63K tok/s + 340/1143 ━━━━━───────────── loss 5.1708 lr 2.48e-03 |g| 0.309 804.69K tok/s + 350/1143 ━━━━━━──────────── loss 5.0521 lr 2.45e-03 |g| 0.354 804.74K tok/s + 360/1143 ━━━━━━──────────── loss 5.0828 lr 2.43e-03 |g| 0.290 804.79K tok/s + 370/1143 ━━━━━━──────────── loss 5.0162 lr 2.40e-03 |g| 0.268 804.84K tok/s + 380/1143 ━━━━━━──────────── loss 5.0679 lr 2.37e-03 |g| 0.399 804.89K tok/s + 390/1143 ━━━━━━──────────── loss 4.9550 lr 2.35e-03 |g| 0.220 804.93K tok/s + 400/1143 ━━━━━━──────────── loss 5.0219 lr 2.32e-03 |g| 0.289 804.96K tok/s + 410/1143 ━━━━━━──────────── loss 5.0176 lr 2.29e-03 |g| 0.240 805.00K tok/s + 420/1143 ━━━━━━━─────────── loss 4.9096 lr 2.26e-03 |g| 0.342 805.03K tok/s + 430/1143 ━━━━━━━─────────── loss 4.9238 lr 2.23e-03 |g| 0.291 805.06K tok/s + 440/1143 ━━━━━━━─────────── loss 4.9407 lr 2.20e-03 |g| 0.197 805.10K tok/s + 450/1143 ━━━━━━━─────────── loss 4.8341 lr 2.16e-03 |g| 0.346 805.11K tok/s + 460/1143 ━━━━━━━─────────── loss 4.9150 lr 2.13e-03 |g| 0.324 805.14K tok/s + 470/1143 ━━━━━━━─────────── loss 4.8116 lr 2.10e-03 |g| 0.244 805.17K tok/s + 480/1143 ━━━━━━━━────────── loss 4.8203 lr 2.06e-03 |g| 0.370 805.21K tok/s + 490/1143 ━━━━━━━━────────── loss 4.7658 lr 2.03e-03 |g| 0.177 805.23K tok/s + 500/1143 ━━━━━━━━────────── loss 4.8150 lr 1.99e-03 |g| 0.221 805.26K tok/s + 510/1143 ━━━━━━━━────────── loss 4.7109 lr 1.96e-03 |g| 0.282 805.29K tok/s + 520/1143 ━━━━━━━━────────── loss 4.7786 lr 1.92e-03 |g| 0.209 805.31K tok/s + 530/1143 ━━━━━━━━────────── loss 4.6775 lr 1.89e-03 |g| 0.250 805.34K tok/s + 540/1143 ━━━━━━━━━───────── loss 4.7789 lr 1.85e-03 |g| 0.216 805.36K tok/s + 550/1143 ━━━━━━━━━───────── loss 4.6755 lr 1.81e-03 |g| 0.215 805.38K tok/s + 560/1143 ━━━━━━━━━───────── loss 4.7466 lr 1.78e-03 |g| 0.230 805.40K tok/s + 570/1143 ━━━━━━━━━───────── loss 4.6285 lr 1.74e-03 |g| 0.206 805.42K tok/s + 580/1143 ━━━━━━━━━───────── loss 4.6472 lr 1.70e-03 |g| 0.267 805.44K tok/s + 590/1143 ━━━━━━━━━───────── loss 4.6523 lr 1.66e-03 |g| 0.187 805.46K tok/s + 600/1143 ━━━━━━━━━───────── loss 4.6063 lr 1.63e-03 |g| 0.232 805.48K tok/s + 610/1143 ━━━━━━━━━━──────── loss 4.5354 lr 1.59e-03 |g| 0.235 805.50K tok/s + 620/1143 ━━━━━━━━━━──────── loss 4.5686 lr 1.55e-03 |g| 0.220 805.51K tok/s + 630/1143 ━━━━━━━━━━──────── loss 4.5818 lr 1.51e-03 |g| 0.207 805.51K tok/s + 640/1143 ━━━━━━━━━━──────── loss 4.5756 lr 1.48e-03 |g| 0.227 805.53K tok/s + 650/1143 ━━━━━━━━━━──────── loss 4.5479 lr 1.44e-03 |g| 0.200 805.52K tok/s + 660/1143 ━━━━━━━━━━──────── loss 4.5314 lr 1.40e-03 |g| 0.199 805.54K tok/s + 670/1143 ━━━━━━━━━━━─────── loss 4.4944 lr 1.36e-03 |g| 0.218 805.56K tok/s + 680/1143 ━━━━━━━━━━━─────── loss 4.4743 lr 1.32e-03 |g| 0.180 805.57K tok/s + 690/1143 ━━━━━━━━━━━─────── loss 4.4777 lr 1.29e-03 |g| 0.195 805.59K tok/s + 700/1143 ━━━━━━━━━━━─────── loss 4.4452 lr 1.25e-03 |g| 0.211 805.60K tok/s + 710/1143 ━━━━━━━━━━━─────── loss 4.4452 lr 1.21e-03 |g| 0.250 805.62K tok/s + 720/1143 ━━━━━━━━━━━─────── loss 4.5113 lr 1.18e-03 |g| 0.178 805.63K tok/s + 730/1143 ━━━━━━━━━━━─────── loss 4.4283 lr 1.14e-03 |g| 0.176 805.64K tok/s + 740/1143 ━━━━━━━━━━━━────── loss 4.4225 lr 1.10e-03 |g| 0.194 805.65K tok/s + 750/1143 ━━━━━━━━━━━━────── loss 4.4314 lr 1.07e-03 |g| 0.170 805.67K tok/s + 760/1143 ━━━━━━━━━━━━────── loss 4.4337 lr 1.03e-03 |g| 0.171 805.68K tok/s + 770/1143 ━━━━━━━━━━━━────── loss 4.3586 lr 9.99e-04 |g| 0.158 805.69K tok/s + 780/1143 ━━━━━━━━━━━━────── loss 4.3568 lr 9.65e-04 |g| 0.158 805.70K tok/s + 790/1143 ━━━━━━━━━━━━────── loss 4.2706 lr 9.31e-04 |g| 0.176 805.71K tok/s + 800/1143 ━━━━━━━━━━━━━───── loss 4.4345 lr 8.98e-04 |g| 0.155 805.72K tok/s + 810/1143 ━━━━━━━━━━━━━───── loss 4.3392 lr 8.65e-04 |g| 0.150 805.74K tok/s + 820/1143 ━━━━━━━━━━━━━───── loss 4.3775 lr 8.33e-04 |g| 0.162 805.75K tok/s + 830/1143 ━━━━━━━━━━━━━───── loss 4.2823 lr 8.02e-04 |g| 0.172 805.76K tok/s + 840/1143 ━━━━━━━━━━━━━───── loss 4.2847 lr 7.71e-04 |g| 0.155 805.77K tok/s + 850/1143 ━━━━━━━━━━━━━───── loss 4.2777 lr 7.41e-04 |g| 0.165 805.78K tok/s + 860/1143 ━━━━━━━━━━━━━━──── loss 4.2905 lr 7.12e-04 |g| 0.168 805.79K tok/s + 870/1143 ━━━━━━━━━━━━━━──── loss 4.2825 lr 6.84e-04 |g| 0.188 805.80K tok/s + 880/1143 ━━━━━━━━━━━━━━──── loss 4.2499 lr 6.56e-04 |g| 0.163 805.80K tok/s + 890/1143 ━━━━━━━━━━━━━━──── loss 4.2985 lr 6.29e-04 |g| 0.152 805.81K tok/s + 900/1143 ━━━━━━━━━━━━━━──── loss 4.2920 lr 6.03e-04 |g| 0.157 805.82K tok/s + 910/1143 ━━━━━━━━━━━━━━──── loss 4.2649 lr 5.78e-04 |g| 0.146 805.83K tok/s + 920/1143 ━━━━━━━━━━━━━━──── loss 4.3077 lr 5.53e-04 |g| 0.153 805.82K tok/s + 930/1143 ━━━━━━━━━━━━━━━─── loss 4.2659 lr 5.30e-04 |g| 0.164 805.83K tok/s + 940/1143 ━━━━━━━━━━━━━━━─── loss 4.2215 lr 5.07e-04 |g| 0.149 805.84K tok/s + 950/1143 ━━━━━━━━━━━━━━━─── loss 4.1803 lr 4.86e-04 |g| 0.141 805.85K tok/s + 960/1143 ━━━━━━━━━━━━━━━─── loss 4.2478 lr 4.65e-04 |g| 0.145 805.85K tok/s + 970/1143 ━━━━━━━━━━━━━━━─── loss 4.2997 lr 4.46e-04 |g| 0.162 805.86K tok/s + 980/1143 ━━━━━━━━━━━━━━━─── loss 4.2086 lr 4.27e-04 |g| 0.161 805.87K tok/s + 990/1143 ━━━━━━━━━━━━━━━━── loss 4.2507 lr 4.09e-04 |g| 0.176 805.87K tok/s + 1000/1143 ━━━━━━━━━━━━━━━━── loss 4.2392 lr 3.93e-04 |g| 0.137 805.88K tok/s + 1010/1143 ━━━━━━━━━━━━━━━━── loss 4.1927 lr 3.77e-04 |g| 0.164 805.88K tok/s + 1020/1143 ━━━━━━━━━━━━━━━━── loss 4.2000 lr 3.63e-04 |g| 0.145 805.89K tok/s + 1030/1143 ━━━━━━━━━━━━━━━━── loss 4.2730 lr 3.49e-04 |g| 0.147 805.90K tok/s + 1040/1143 ━━━━━━━━━━━━━━━━── loss 4.2446 lr 3.37e-04 |g| 0.146 805.90K tok/s + 1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1811 lr 3.26e-04 |g| 0.149 805.91K tok/s + 1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1268 lr 3.16e-04 |g| 0.136 805.92K tok/s + 1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2162 lr 3.07e-04 |g| 0.141 805.92K tok/s + 1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1980 lr 2.99e-04 |g| 0.163 805.93K tok/s + 1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1509 lr 2.92e-04 |g| 0.147 805.93K tok/s + 1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.2091 lr 2.87e-04 |g| 0.177 805.94K tok/s + 1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.1478 lr 2.83e-04 |g| 0.146 805.94K tok/s + 1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1559 lr 2.79e-04 |g| 0.142 805.95K tok/s + 1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.0850 lr 2.77e-04 |g| 0.150 805.95K tok/s + 1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1332 lr 2.76e-04 |g| 0.158 805.96K tok/s + 1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.1021 lr 2.76e-04 |g| 0.144 805.94K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 371.785s (compilation excluded) + validation loss 4.1592 in 0.910s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1339/stdout.log b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..15c36d724595a6034f1abefbb3d7e873fecd98ff --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs32-lr2e-9-s1339/stdout.log @@ -0,0 +1 @@ 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~ffffffffffe00000) +E0819 11:32:47.963962 3509863 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:32:47.964742 3463413 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:32:47.964852 257839 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220902.53T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.40s, eval in 22.98s; periodic validation disabled + 1/571 ────────────────── loss 10.9476 lr 2.74e-04 |g| 2.514 696.25K tok/s + 10/571 ────────────────── loss 7.8147 lr 2.74e-03 |g| 0.435 775.25K tok/s + 20/571 ━───────────────── loss 7.7860 lr 5.48e-03 |g| 0.626 795.43K tok/s + 30/571 ━───────────────── loss 7.6203 lr 8.22e-03 |g| 0.710 802.45K tok/s + 40/571 ━───────────────── loss 7.5742 lr 1.10e-02 |g| 0.761 805.86K tok/s + 50/571 ━━──────────────── loss 7.8234 lr 1.37e-02 |g| 1.090 807.82K tok/s + 60/571 ━━──────────────── loss 7.3344 lr 1.56e-02 |g| 0.672 809.14K tok/s + 70/571 ━━──────────────── loss 7.2136 lr 1.56e-02 |g| 0.649 810.04K tok/s + 80/571 ━━━─────────────── loss 7.0322 lr 1.56e-02 |g| 0.528 810.74K tok/s + 90/571 ━━━─────────────── loss 6.9942 lr 1.55e-02 |g| 0.420 811.24K tok/s + 100/571 ━━━─────────────── loss 6.8383 lr 1.54e-02 |g| 0.229 811.63K tok/s + 110/571 ━━━─────────────── loss 6.8090 lr 1.53e-02 |g| 0.456 811.94K tok/s + 120/571 ━━━━────────────── loss 6.7250 lr 1.51e-02 |g| 0.425 812.21K tok/s + 130/571 ━━━━────────────── loss 6.6295 lr 1.49e-02 |g| 0.318 812.43K tok/s + 140/571 ━━━━────────────── loss 6.4668 lr 1.47e-02 |g| 0.157 812.62K tok/s + 150/571 ━━━━━───────────── loss 6.4410 lr 1.45e-02 |g| 0.338 812.78K tok/s + 160/571 ━━━━━───────────── loss 6.3412 lr 1.43e-02 |g| 0.244 812.92K tok/s + 170/571 ━━━━━───────────── loss 6.3991 lr 1.40e-02 |g| 0.316 813.05K tok/s + 180/571 ━━━━━━──────────── loss 6.2937 lr 1.37e-02 |g| 0.164 813.16K tok/s + 190/571 ━━━━━━──────────── loss 6.2006 lr 1.34e-02 |g| 0.238 813.26K tok/s + 200/571 ━━━━━━──────────── loss 6.1935 lr 1.31e-02 |g| 0.257 813.35K tok/s + 210/571 ━━━━━━━─────────── loss 6.0821 lr 1.28e-02 |g| 0.128 813.43K tok/s + 220/571 ━━━━━━━─────────── loss 6.0378 lr 1.24e-02 |g| 0.086 813.50K tok/s + 230/571 ━━━━━━━─────────── loss 6.0237 lr 1.20e-02 |g| 0.217 813.57K tok/s + 240/571 ━━━━━━━━────────── loss 5.9361 lr 1.17e-02 |g| 0.179 813.63K tok/s + 250/571 ━━━━━━━━────────── loss 5.8899 lr 1.13e-02 |g| 0.098 813.69K tok/s + 260/571 ━━━━━━━━────────── loss 5.8447 lr 1.09e-02 |g| 0.122 813.75K tok/s + 270/571 ━━━━━━━━━───────── loss 5.8156 lr 1.05e-02 |g| 0.143 813.79K tok/s + 280/571 ━━━━━━━━━───────── loss 5.7776 lr 1.00e-02 |g| 0.141 813.83K tok/s + 290/571 ━━━━━━━━━───────── loss 5.8165 lr 9.62e-03 |g| 0.158 813.87K tok/s + 300/571 ━━━━━━━━━───────── loss 5.6426 lr 9.19e-03 |g| 0.127 813.90K tok/s + 310/571 ━━━━━━━━━━──────── loss 5.6857 lr 8.77e-03 |g| 0.143 813.94K tok/s + 320/571 ━━━━━━━━━━──────── loss 5.5707 lr 8.34e-03 |g| 0.175 813.97K tok/s + 330/571 ━━━━━━━━━━──────── loss 5.6203 lr 7.91e-03 |g| 0.084 814.00K tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.5971 lr 7.48e-03 |g| 0.068 814.04K tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.4878 lr 7.06e-03 |g| 0.123 814.06K tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.5004 lr 6.64e-03 |g| 0.183 814.08K tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.3879 lr 6.23e-03 |g| 0.097 814.11K tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.4009 lr 5.83e-03 |g| 0.132 814.13K tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.3911 lr 5.44e-03 |g| 0.079 814.16K tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.3206 lr 5.07e-03 |g| 0.089 814.18K tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.3403 lr 4.70e-03 |g| 0.113 814.20K tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.2572 lr 4.35e-03 |g| 0.111 814.23K tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.1887 lr 4.02e-03 |g| 0.104 814.25K tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.2214 lr 3.70e-03 |g| 0.074 814.27K tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.2180 lr 3.40e-03 |g| 0.101 814.27K tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.1909 lr 3.12e-03 |g| 0.081 814.28K tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.1745 lr 2.86e-03 |g| 0.068 814.29K tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.1656 lr 2.62e-03 |g| 0.073 814.30K tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.1192 lr 2.41e-03 |g| 0.054 814.31K tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.0335 lr 2.21e-03 |g| 0.062 814.32K tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.0558 lr 2.05e-03 |g| 0.068 814.32K tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.0879 lr 1.90e-03 |g| 0.077 814.33K tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.0142 lr 1.78e-03 |g| 0.054 814.34K tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 4.9941 lr 1.69e-03 |g| 0.056 814.35K tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.0294 lr 1.62e-03 |g| 0.050 814.36K tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.0332 lr 1.58e-03 |g| 0.066 814.37K tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.0198 lr 1.56e-03 |g| 0.057 814.38K tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 4.9639 lr 1.56e-03 |g| 0.072 814.35K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 367.625s (compilation excluded) + validation loss 4.9904 in 1.839s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1337/stdout.log b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1337/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..af90cf0119c52659b33132d38017cded8ef6e29d --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1337/stdout.log @@ -0,0 +1 @@ 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~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:42:16.577557 267856 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:42:16.578572 3472264 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:42:16.579229 3518868 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220902.53T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 58.50s, eval in 22.91s; periodic validation disabled + 1/571 ────────────────── loss 10.9063 lr 2.74e-04 |g| 2.266 713.20K tok/s + 10/571 ────────────────── loss 7.8088 lr 2.74e-03 |g| 0.570 772.34K tok/s + 20/571 ━───────────────── loss 8.4056 lr 5.48e-03 |g| 1.458 793.91K tok/s + 30/571 ━───────────────── loss 7.9520 lr 8.22e-03 |g| 1.179 801.42K tok/s + 40/571 ━───────────────── loss 7.7331 lr 1.10e-02 |g| 0.758 805.09K tok/s + 50/571 ━━──────────────── loss 7.6687 lr 1.37e-02 |g| 0.720 807.32K tok/s + 60/571 ━━──────────────── loss 7.7042 lr 1.56e-02 |g| 1.148 808.77K tok/s + 70/571 ━━──────────────── loss 7.4002 lr 1.56e-02 |g| 0.195 809.80K tok/s + 80/571 ━━━─────────────── loss 7.2380 lr 1.56e-02 |g| 0.306 810.53K tok/s + 90/571 ━━━─────────────── loss 7.1953 lr 1.55e-02 |g| 0.519 811.07K tok/s + 100/571 ━━━─────────────── loss 6.9476 lr 1.54e-02 |g| 0.385 811.47K tok/s + 110/571 ━━━─────────────── loss 6.8294 lr 1.53e-02 |g| 0.313 811.79K tok/s + 120/571 ━━━━────────────── loss 6.7428 lr 1.51e-02 |g| 0.261 812.06K tok/s + 130/571 ━━━━────────────── loss 6.6063 lr 1.49e-02 |g| 0.224 812.29K tok/s + 140/571 ━━━━────────────── loss 6.6434 lr 1.47e-02 |g| 0.240 812.49K tok/s + 150/571 ━━━━━───────────── loss 6.5786 lr 1.45e-02 |g| 0.181 812.66K tok/s + 160/571 ━━━━━───────────── loss 6.4914 lr 1.43e-02 |g| 0.153 812.80K tok/s + 170/571 ━━━━━───────────── loss 6.3794 lr 1.40e-02 |g| 0.205 812.93K tok/s + 180/571 ━━━━━━──────────── loss 6.3559 lr 1.37e-02 |g| 0.145 813.05K tok/s + 190/571 ━━━━━━──────────── loss 6.2392 lr 1.34e-02 |g| 0.158 813.15K tok/s + 200/571 ━━━━━━──────────── loss 6.2280 lr 1.31e-02 |g| 0.194 813.24K tok/s + 210/571 ━━━━━━━─────────── loss 6.1837 lr 1.28e-02 |g| 0.190 813.33K tok/s + 220/571 ━━━━━━━─────────── loss 6.1656 lr 1.24e-02 |g| 0.116 813.40K tok/s + 230/571 ━━━━━━━─────────── loss 6.1496 lr 1.20e-02 |g| 0.175 813.47K tok/s + 240/571 ━━━━━━━━────────── loss 6.0611 lr 1.17e-02 |g| 0.122 813.54K tok/s + 250/571 ━━━━━━━━────────── loss 6.0440 lr 1.13e-02 |g| 0.168 813.60K tok/s + 260/571 ━━━━━━━━────────── loss 5.9711 lr 1.09e-02 |g| 0.164 813.65K tok/s + 270/571 ━━━━━━━━━───────── loss 5.9021 lr 1.05e-02 |g| 0.111 813.70K tok/s + 280/571 ━━━━━━━━━───────── loss 5.9432 lr 1.00e-02 |g| 0.291 813.75K tok/s + 290/571 ━━━━━━━━━───────── loss 5.8392 lr 9.62e-03 |g| 0.112 813.79K tok/s + 300/571 ━━━━━━━━━───────── loss 5.8831 lr 9.19e-03 |g| 0.098 813.83K tok/s + 310/571 ━━━━━━━━━━──────── loss 5.8272 lr 8.77e-03 |g| 0.174 813.87K tok/s + 320/571 ━━━━━━━━━━──────── loss 5.7384 lr 8.34e-03 |g| 0.068 813.91K tok/s + 330/571 ━━━━━━━━━━──────── loss 5.7218 lr 7.91e-03 |g| 0.093 813.94K tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.8014 lr 7.48e-03 |g| 0.118 813.96K tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.6737 lr 7.06e-03 |g| 0.096 814.00K tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.6088 lr 6.64e-03 |g| 0.103 814.02K tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.5722 lr 6.23e-03 |g| 0.060 814.05K tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.5516 lr 5.83e-03 |g| 0.108 814.07K tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.5183 lr 5.44e-03 |g| 0.099 814.10K tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.5147 lr 5.07e-03 |g| 0.105 814.12K tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.4268 lr 4.70e-03 |g| 0.124 814.14K tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.4769 lr 4.35e-03 |g| 0.095 814.16K tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.4163 lr 4.02e-03 |g| 0.058 814.18K tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.3914 lr 3.70e-03 |g| 0.080 814.20K tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.3731 lr 3.40e-03 |g| 0.124 814.21K tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.3407 lr 3.12e-03 |g| 0.062 814.23K tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.2862 lr 2.86e-03 |g| 0.107 814.25K tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.2403 lr 2.62e-03 |g| 0.080 814.26K tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.2696 lr 2.41e-03 |g| 0.058 814.28K tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.2188 lr 2.21e-03 |g| 0.078 814.29K tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.2020 lr 2.05e-03 |g| 0.058 814.31K tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.1878 lr 1.90e-03 |g| 0.079 814.32K tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.2004 lr 1.78e-03 |g| 0.067 814.33K tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.1552 lr 1.69e-03 |g| 0.064 814.34K tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.1611 lr 1.62e-03 |g| 0.072 814.36K tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.1637 lr 1.58e-03 |g| 0.059 814.37K tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.1346 lr 1.56e-03 |g| 0.059 814.38K tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.1501 lr 1.56e-03 |g| 0.077 814.36K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 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"controller_process_index": 1, + "device_count": 16, + "device_ids": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15 + ], + "device_kinds": [ + "TPU v4" + ], + "jax_version": "0.11.0", + "jaxlib_version": "0.11.0", + "libtpu_version": "0.0.44.1", + "local_device_count": 4, + "platform": "tpu", + "process_count": 4, + "process_indices": [ + 0, + 0, + 0, + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 3 + ], + "python_version": "3.12.13" + }, + "track": "open" +} diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stderr.log b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stderr.log new file mode 100644 index 0000000000000000000000000000000000000000..b3164421e86f8bbf040320f3d2e035f1eeebbbbf --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stderr.log @@ -0,0 +1,113 @@ +E0819 11:51:45.697875 3428224 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:51:45.698474 3481282 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:51:45.698778 3527757 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) +E0819 11:51:45.699141 277829 hugepage_text.cc:340] RAW: File offset incorrectly aligned for file-backed THP: (600000 & ~ffffffffffe00000) = 0 != 1000 = (201000 & ~ffffffffffe00000) + + ◆ GPT TPU RIG reference / jax + + + ● Attention tile preflight resolving the shipped lookup or shape heuristic + ╭─ run configuration ────────────────────────────────────────────────────────╮ + │ experiment config config.yaml · dev · sha256:a4bad1be29b5 │ + │ devices 16 × TPU v4 │ + │ JAX processes 4 (this rank 1) │ + │ mesh data=16 (replicated model) │ + │ dataset 79 train + 1 val shard(s) │ + │ train / val tokens 7,900,000,000 / 100,000,000 │ + │ downstream not requested │ + │ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │ + │ parameters 102.51M │ + │ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │ + │ global batch 64 × 8192 tokens │ + │ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │ + │ compute bfloat16 │ + │ attention tpu_flash │ + │ attention tuning heuristic · key 6a5b398e13ed │ + │ attention fwd q512 · kv512/256 │ + │ attention dK/dV q512/256 · kv512/256 │ + │ attention dQ q256 · kv512/256 │ + │ output loss tiled CE (semantic 50,304, tile 2,048) │ + │ diagnostics step 1 / every 10 / final │ + │ duration 571 steps │ + │ train tokens 299.37M │ + │ traced FLOPs 220902.53T │ + │ FLOP breakdown dot_general 1,638,200,770,560 (27.1%) · tpu_flash_ca… │ + │ XProf disabled │ + ╰────────────────────────────────────────────────────────────────────────────╯ + + ● Compiling train step compilation is outside train_seconds + + ● Compiling sparse diagnostics separate executable; compilation is outside train_seconds + + ● Compiling evaluation reused by probes and final validation + + ● Training train compiled in 56.44s, eval in 23.71s; periodic validation disabled + 1/571 ────────────────── loss 10.8871 lr 2.74e-04 |g| 2.681 580.56K tok/s + 10/571 ────────────────── loss 7.7718 lr 2.74e-03 |g| 0.455 757.61K tok/s + 20/571 ━───────────────── loss 7.9685 lr 5.48e-03 |g| 1.074 786.32K tok/s + 30/571 ━───────────────── loss 7.9978 lr 8.22e-03 |g| 1.281 796.43K tok/s + 40/571 ━───────────────── loss 7.9684 lr 1.10e-02 |g| 0.731 801.38K tok/s + 50/571 ━━──────────────── loss 7.7560 lr 1.37e-02 |g| 0.762 804.41K tok/s + 60/571 ━━──────────────── loss 7.6312 lr 1.56e-02 |g| 0.453 806.43K tok/s + 70/571 ━━──────────────── loss 7.5657 lr 1.56e-02 |g| 0.603 807.88K tok/s + 80/571 ━━━─────────────── loss 7.3559 lr 1.56e-02 |g| 0.410 808.95K tok/s + 90/571 ━━━─────────────── loss 7.2030 lr 1.55e-02 |g| 0.472 809.75K tok/s + 100/571 ━━━─────────────── loss 7.1536 lr 1.54e-02 |g| 0.491 810.39K tok/s + 110/571 ━━━─────────────── loss 7.0407 lr 1.53e-02 |g| 0.428 810.85K tok/s + 120/571 ━━━━────────────── loss 6.9099 lr 1.51e-02 |g| 0.340 811.23K tok/s + 130/571 ━━━━────────────── loss 6.8329 lr 1.49e-02 |g| 0.213 811.56K tok/s + 140/571 ━━━━────────────── loss 6.6747 lr 1.47e-02 |g| 0.296 811.82K tok/s + 150/571 ━━━━━───────────── loss 6.6118 lr 1.45e-02 |g| 0.286 812.05K tok/s + 160/571 ━━━━━───────────── loss 6.4933 lr 1.43e-02 |g| 0.166 812.25K tok/s + 170/571 ━━━━━───────────── loss 6.4484 lr 1.40e-02 |g| 0.210 812.41K tok/s + 180/571 ━━━━━━──────────── loss 6.4018 lr 1.37e-02 |g| 0.126 812.56K tok/s + 190/571 ━━━━━━──────────── loss 6.3493 lr 1.34e-02 |g| 0.341 812.68K tok/s + 200/571 ━━━━━━──────────── loss 6.2445 lr 1.31e-02 |g| 0.135 812.80K tok/s + 210/571 ━━━━━━━─────────── loss 6.2592 lr 1.28e-02 |g| 0.184 812.91K tok/s + 220/571 ━━━━━━━─────────── loss 6.1939 lr 1.24e-02 |g| 0.221 813.00K tok/s + 230/571 ━━━━━━━─────────── loss 6.1706 lr 1.20e-02 |g| 0.176 813.09K tok/s + 240/571 ━━━━━━━━────────── loss 6.0544 lr 1.17e-02 |g| 0.184 813.18K tok/s + 250/571 ━━━━━━━━────────── loss 6.0057 lr 1.13e-02 |g| 0.146 813.26K tok/s + 260/571 ━━━━━━━━────────── loss 5.9997 lr 1.09e-02 |g| 0.125 813.33K tok/s + 270/571 ━━━━━━━━━───────── loss 5.9504 lr 1.05e-02 |g| 0.142 813.40K tok/s + 280/571 ━━━━━━━━━───────── loss 5.9081 lr 1.00e-02 |g| 0.193 813.45K tok/s + 290/571 ━━━━━━━━━───────── loss 5.8376 lr 9.62e-03 |g| 0.095 813.51K tok/s + 300/571 ━━━━━━━━━───────── loss 5.7721 lr 9.19e-03 |g| 0.144 813.56K tok/s + 310/571 ━━━━━━━━━━──────── loss 5.7377 lr 8.77e-03 |g| 0.083 813.61K tok/s + 320/571 ━━━━━━━━━━──────── loss 5.7336 lr 8.34e-03 |g| 0.163 813.65K tok/s + 330/571 ━━━━━━━━━━──────── loss 5.6871 lr 7.91e-03 |g| 0.142 813.69K tok/s + 340/571 ━━━━━━━━━━━─────── loss 5.6198 lr 7.48e-03 |g| 0.142 813.73K tok/s + 350/571 ━━━━━━━━━━━─────── loss 5.5775 lr 7.06e-03 |g| 0.064 813.77K tok/s + 360/571 ━━━━━━━━━━━─────── loss 5.6246 lr 6.64e-03 |g| 0.134 813.81K tok/s + 370/571 ━━━━━━━━━━━━────── loss 5.5530 lr 6.23e-03 |g| 0.116 813.84K tok/s + 380/571 ━━━━━━━━━━━━────── loss 5.5503 lr 5.83e-03 |g| 0.135 813.87K tok/s + 390/571 ━━━━━━━━━━━━────── loss 5.4891 lr 5.44e-03 |g| 0.106 813.89K tok/s + 400/571 ━━━━━━━━━━━━━───── loss 5.5245 lr 5.07e-03 |g| 0.098 813.91K tok/s + 410/571 ━━━━━━━━━━━━━───── loss 5.3703 lr 4.70e-03 |g| 0.065 813.94K tok/s + 420/571 ━━━━━━━━━━━━━───── loss 5.4081 lr 4.35e-03 |g| 0.071 813.96K tok/s + 430/571 ━━━━━━━━━━━━━━──── loss 5.3255 lr 4.02e-03 |g| 0.098 813.99K tok/s + 440/571 ━━━━━━━━━━━━━━──── loss 5.3382 lr 3.70e-03 |g| 0.090 814.01K tok/s + 450/571 ━━━━━━━━━━━━━━──── loss 5.3098 lr 3.40e-03 |g| 0.078 814.04K tok/s + 460/571 ━━━━━━━━━━━━━━━─── loss 5.2819 lr 3.12e-03 |g| 0.067 814.06K tok/s + 470/571 ━━━━━━━━━━━━━━━─── loss 5.2634 lr 2.86e-03 |g| 0.062 814.08K tok/s + 480/571 ━━━━━━━━━━━━━━━─── loss 5.2301 lr 2.62e-03 |g| 0.056 814.10K tok/s + 490/571 ━━━━━━━━━━━━━━━─── loss 5.2177 lr 2.41e-03 |g| 0.076 814.12K tok/s + 500/571 ━━━━━━━━━━━━━━━━── loss 5.2503 lr 2.21e-03 |g| 0.117 814.13K tok/s + 510/571 ━━━━━━━━━━━━━━━━── loss 5.2241 lr 2.05e-03 |g| 0.054 814.15K tok/s + 520/571 ━━━━━━━━━━━━━━━━── loss 5.1952 lr 1.90e-03 |g| 0.064 814.16K tok/s + 530/571 ━━━━━━━━━━━━━━━━━─ loss 5.1210 lr 1.78e-03 |g| 0.054 814.18K tok/s + 540/571 ━━━━━━━━━━━━━━━━━─ loss 5.1417 lr 1.69e-03 |g| 0.082 814.20K tok/s + 550/571 ━━━━━━━━━━━━━━━━━─ loss 5.1444 lr 1.62e-03 |g| 0.051 814.21K tok/s + 560/571 ━━━━━━━━━━━━━━━━━━ loss 5.1219 lr 1.58e-03 |g| 0.077 814.23K tok/s + 570/571 ━━━━━━━━━━━━━━━━━━ loss 5.0929 lr 1.56e-03 |g| 0.059 814.25K tok/s + 571/571 ━━━━━━━━━━━━━━━━━━ loss 5.1295 lr 1.56e-03 |g| 0.054 814.22K tok/s + + ● Canonical validation 8 deterministic batches outside train_seconds + + ● Fresh-domain validation skipped; no downstream data supplied + + ● Artifacts training.riglog + validation.csv + diagnostics.riglog + + ✓ synchronized training 367.681s (compilation excluded) + validation loss 5.0977 in 1.834s + diff --git a/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stdout.log b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..84c51b45363fa8fec1d9002cde70df708bb7cfad --- /dev/null +++ b/batch-size-grid-8k/60m-moe-5tpp-bs64-lr2e-7-s1339/stdout.log @@ -0,0 +1 @@ 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