Add the 8k batch-size grid: 42 runs, dense and routed, batch 32 and 64
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +41 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stderr.log +291 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/validation.csv +2 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log +291 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/validation.csv +2 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log +291 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/validation.csv +2 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/stderr.log +173 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/validation.csv +2 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stderr.log +173 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/validation.csv +2 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/metrics.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/result.json +244 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stderr.log +173 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stdout.log +1 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/training.riglog +3 -0
- batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/validation.csv +2 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/diagnostics.riglog +3 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/metrics.json +240 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/result.json +240 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stderr.log +170 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stdout.log +1 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/training.riglog +0 -0
- batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/validation.csv +2 -0
.gitattributes
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version https://git-lfs.github.com/spec/v1
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oid sha256:42cededfc73667bcb02255deadc411c5e36b0ed3a8a993ef41a5601985ad0d9c
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size 280916
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/metrics.json
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{
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"artifacts": {
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"diagnostics": "diagnostics.riglog",
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"training_curve": "training.riglog",
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"validation_curve": "validation.csv"
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},
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"checkpoint": null,
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"contract": {
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/result.json
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@@ -0,0 +1,244 @@
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stderr.log
ADDED
|
@@ -0,0 +1,291 @@
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| 1 |
+
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)
|
| 2 |
+
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)
|
| 3 |
+
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)
|
| 4 |
+
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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 32 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 2dacd79ce81a │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 2,355 steps │
|
| 32 |
+
│ train tokens 617.35M │
|
| 33 |
+
│ traced FLOPs 846622.11T │
|
| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
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1430/2355 ━━━━━━━━━━━─────── loss 3.8809 lr 3.55e-03 |g| 0.110 410.70K tok/s
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| 189 |
+
1440/2355 ━━━━━━━━━━━─────── loss 3.9472 lr 3.50e-03 |g| 0.103 410.70K tok/s
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| 190 |
+
1450/2355 ━━━━━━━━━━━─────── loss 3.8784 lr 3.45e-03 |g| 0.103 410.70K tok/s
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| 191 |
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1460/2355 ━━━━━━━━━━━─────── loss 3.9854 lr 3.40e-03 |g| 0.102 410.70K tok/s
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| 192 |
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1470/2355 ━━━━━━━━━━━─────── loss 3.9467 lr 3.35e-03 |g| 0.108 410.70K tok/s
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| 193 |
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1480/2355 ━━━━━━━━━━━─────── loss 3.9223 lr 3.30e-03 |g| 0.101 410.71K tok/s
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| 194 |
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1490/2355 ━━━━━━━━━━━─────── loss 3.9412 lr 3.25e-03 |g| 0.105 410.71K tok/s
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| 195 |
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1500/2355 ━━━━━━━━━━━─────── loss 3.8896 lr 3.20e-03 |g| 0.091 410.71K tok/s
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| 196 |
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1510/2355 ━━━━━━━━━━━━────── loss 3.8803 lr 3.15e-03 |g| 0.100 410.71K tok/s
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| 197 |
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1520/2355 ━━━━━━━━━━━━────── loss 3.8364 lr 3.10e-03 |g| 0.090 410.71K tok/s
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| 198 |
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1530/2355 ━━━━━━━━━━━━────── loss 3.8746 lr 3.05e-03 |g| 0.094 410.72K tok/s
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| 199 |
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1540/2355 ━━━━━━━━━━━━────── loss 3.9106 lr 3.01e-03 |g| 0.093 410.72K tok/s
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| 200 |
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1550/2355 ━━━━━━━━━━━━────── loss 3.9031 lr 2.96e-03 |g| 0.095 410.72K tok/s
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| 201 |
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1560/2355 ━━━━━━━━━━━━────── loss 3.8982 lr 2.91e-03 |g| 0.124 410.72K tok/s
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| 202 |
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1570/2355 ━━━━━━━━━━━━────── loss 3.8533 lr 2.86e-03 |g| 0.103 410.72K tok/s
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| 203 |
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1580/2355 ━━━━━━━━━━━━────── loss 3.8916 lr 2.82e-03 |g| 0.090 410.72K tok/s
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| 204 |
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1590/2355 ━━━━━━━━━━━━────── loss 3.8693 lr 2.77e-03 |g| 0.088 410.73K tok/s
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| 205 |
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1600/2355 ━━━━━━━━━━━━────── loss 3.8762 lr 2.72e-03 |g| 0.098 410.73K tok/s
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| 206 |
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1610/2355 ━━━━━━━━━━━━────── loss 3.8081 lr 2.68e-03 |g| 0.105 410.73K tok/s
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| 207 |
+
1620/2355 ━━━━━━━━━━━━────── loss 3.8731 lr 2.63e-03 |g| 0.090 410.73K tok/s
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| 208 |
+
1630/2355 ━━━━━━━━━━━━────── loss 3.8041 lr 2.59e-03 |g| 0.101 410.73K tok/s
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| 209 |
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1640/2355 ━━━━━━━━━━━━━───── loss 3.8482 lr 2.54e-03 |g| 0.100 410.73K tok/s
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| 210 |
+
1650/2355 ━━━━━━━━━━━━━───── loss 3.8236 lr 2.50e-03 |g| 0.090 410.73K tok/s
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| 211 |
+
1660/2355 ━━━━━━━━━━━━━───── loss 3.8649 lr 2.45e-03 |g| 0.092 410.74K tok/s
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| 212 |
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1670/2355 ━━━━━━━━━━━━━───── loss 3.8523 lr 2.41e-03 |g| 0.087 410.74K tok/s
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| 213 |
+
1680/2355 ━━━━━━━━━━━━━───── loss 3.8307 lr 2.36e-03 |g| 0.100 410.74K tok/s
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| 214 |
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1690/2355 ━━━━━━━━━━━━━───── loss 3.8349 lr 2.32e-03 |g| 0.089 410.74K tok/s
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| 215 |
+
1700/2355 ━━━━━━━━━━━━━───── loss 3.7848 lr 2.28e-03 |g| 0.098 410.74K tok/s
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| 216 |
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1710/2355 ━━━━━━━━━━━━━───── loss 3.7880 lr 2.24e-03 |g| 0.097 410.74K tok/s
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| 217 |
+
1720/2355 ━━━━━━━━━━━━━───── loss 3.8267 lr 2.19e-03 |g| 0.102 410.75K tok/s
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| 218 |
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1730/2355 ━━━━━━━━━━━━━───── loss 3.8740 lr 2.15e-03 |g| 0.092 410.75K tok/s
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| 219 |
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1740/2355 ━━━━━━━━━━━━━───── loss 3.8498 lr 2.11e-03 |g| 0.100 410.75K tok/s
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| 220 |
+
1750/2355 ━━━━━━━━━━━━━───── loss 3.8178 lr 2.07e-03 |g| 0.090 410.75K tok/s
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| 221 |
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1760/2355 ━━━━━━━━━━━━━───── loss 3.8070 lr 2.03e-03 |g| 0.093 410.75K tok/s
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| 222 |
+
1770/2355 ━━━━━━━━━━━━━━──── loss 3.8419 lr 1.99e-03 |g| 0.093 410.75K tok/s
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| 223 |
+
1780/2355 ━━━━━━━━━━━━━━──── loss 3.7639 lr 1.95e-03 |g| 0.092 410.75K tok/s
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| 224 |
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1790/2355 ━━━━━━━━━━━━━━──── loss 3.7942 lr 1.92e-03 |g| 0.100 410.75K tok/s
|
| 225 |
+
1800/2355 ━━━━━━━━━━━━━━──── loss 3.8496 lr 1.88e-03 |g| 0.091 410.76K tok/s
|
| 226 |
+
1810/2355 ━━━━━━━━━━━━━━──── loss 3.8971 lr 1.84e-03 |g| 0.098 410.76K tok/s
|
| 227 |
+
1820/2355 ━━━━━━━━━━━━━━──── loss 3.8009 lr 1.80e-03 |g| 0.090 410.76K tok/s
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| 228 |
+
1830/2355 ━━━━━━━━━━━━━━──── loss 3.7877 lr 1.77e-03 |g| 0.089 410.76K tok/s
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| 229 |
+
1840/2355 ━━━━━━━━━━━━━━──── loss 3.7377 lr 1.73e-03 |g| 0.085 410.76K tok/s
|
| 230 |
+
1850/2355 ━━━━━━━━━━━━━━──── loss 3.8459 lr 1.70e-03 |g| 0.100 410.76K tok/s
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| 231 |
+
1860/2355 ━━━━━━━━━━━━━━──── loss 3.7855 lr 1.66e-03 |g| 0.096 410.76K tok/s
|
| 232 |
+
1870/2355 ━━━━━━━━━━━━━━──── loss 3.7318 lr 1.63e-03 |g| 0.099 410.76K tok/s
|
| 233 |
+
1880/2355 ━━━━━━━━━━━━━━──── loss 3.8917 lr 1.59e-03 |g| 0.089 410.76K tok/s
|
| 234 |
+
1890/2355 ━━━━━━━━━━━━━━──── loss 3.8201 lr 1.56e-03 |g| 0.100 410.77K tok/s
|
| 235 |
+
1900/2355 ━━━━━━━━━━━━━━━─── loss 3.7098 lr 1.53e-03 |g| 0.089 410.77K tok/s
|
| 236 |
+
1910/2355 ━━━━━━━━━━━━━━━─── loss 3.7218 lr 1.50e-03 |g| 0.092 410.77K tok/s
|
| 237 |
+
1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7977 lr 1.47e-03 |g| 0.089 410.77K tok/s
|
| 238 |
+
1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7829 lr 1.43e-03 |g| 0.104 410.77K tok/s
|
| 239 |
+
1940/2355 ━━━━━━━━━━━━━━━─── loss 3.7593 lr 1.40e-03 |g| 0.096 410.77K tok/s
|
| 240 |
+
1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7880 lr 1.38e-03 |g| 0.092 410.77K tok/s
|
| 241 |
+
1960/2355 ━━━━━━━━━━━━━━━─── loss 3.7556 lr 1.35e-03 |g| 0.089 410.77K tok/s
|
| 242 |
+
1970/2355 ━━━━━━━━━━━━━━━─── loss 3.7740 lr 1.32e-03 |g| 0.089 410.77K tok/s
|
| 243 |
+
1980/2355 ━━━━━━━━━━━━━━━─── loss 3.6645 lr 1.29e-03 |g| 0.090 410.77K tok/s
|
| 244 |
+
1990/2355 ━━━━━━━━━━━━━━━─── loss 3.7605 lr 1.26e-03 |g| 0.085 410.77K tok/s
|
| 245 |
+
2000/2355 ━━━━━━━━━━━━━━━─── loss 3.7344 lr 1.24e-03 |g| 0.085 410.78K tok/s
|
| 246 |
+
2010/2355 ━━━━━━━━━━━━━━━─── loss 3.7064 lr 1.21e-03 |g| 0.089 410.78K tok/s
|
| 247 |
+
2020/2355 ━━━━━━━━━━━━━━━─── loss 3.6689 lr 1.19e-03 |g| 0.094 410.78K tok/s
|
| 248 |
+
2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6857 lr 1.16e-03 |g| 0.088 410.78K tok/s
|
| 249 |
+
2040/2355 ━━━━━━━━━━━━━━━━── loss 3.7256 lr 1.14e-03 |g| 0.098 410.78K tok/s
|
| 250 |
+
2050/2355 ━━━━━━━━━━━━━━━━── loss 3.7326 lr 1.12e-03 |g| 0.096 410.78K tok/s
|
| 251 |
+
2060/2355 ━━━━━━━━━━━━━━━━── loss 3.6197 lr 1.10e-03 |g| 0.085 410.78K tok/s
|
| 252 |
+
2070/2355 ━━━━━━━━━━━━━━━━── loss 3.7289 lr 1.07e-03 |g| 0.092 410.78K tok/s
|
| 253 |
+
2080/2355 ━━━━━━━━━━━━━━━━── loss 3.7063 lr 1.05e-03 |g| 0.087 410.78K tok/s
|
| 254 |
+
2090/2355 ━━━━━━━━━━━━━━━━── loss 3.8047 lr 1.03e-03 |g| 0.092 410.78K tok/s
|
| 255 |
+
2100/2355 ━━━━━━━━━━━━━━━━── loss 3.7260 lr 1.01e-03 |g| 0.083 410.79K tok/s
|
| 256 |
+
2110/2355 ━━━━━━━━━━━━━━━━── loss 3.7082 lr 9.96e-04 |g| 0.093 410.79K tok/s
|
| 257 |
+
2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6769 lr 9.78e-04 |g| 0.089 410.79K tok/s
|
| 258 |
+
2130/2355 ━━━━━━━━━━━━━━━━── loss 3.6615 lr 9.61e-04 |g| 0.094 410.79K tok/s
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| 259 |
+
2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6746 lr 9.44e-04 |g| 0.082 410.79K tok/s
|
| 260 |
+
2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7717 lr 9.28e-04 |g| 0.086 410.79K tok/s
|
| 261 |
+
2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7638 lr 9.13e-04 |g| 0.091 410.79K tok/s
|
| 262 |
+
2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6649 lr 8.99e-04 |g| 0.100 410.79K tok/s
|
| 263 |
+
2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6461 lr 8.86e-04 |g| 0.086 410.79K tok/s
|
| 264 |
+
2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7153 lr 8.73e-04 |g| 0.085 410.79K tok/s
|
| 265 |
+
2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7361 lr 8.61e-04 |g| 0.088 410.79K tok/s
|
| 266 |
+
2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6298 lr 8.49e-04 |g| 0.093 410.80K tok/s
|
| 267 |
+
2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7332 lr 8.39e-04 |g| 0.091 410.80K tok/s
|
| 268 |
+
2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7324 lr 8.29e-04 |g| 0.089 410.80K tok/s
|
| 269 |
+
2240/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6953 lr 8.20e-04 |g| 0.090 410.80K tok/s
|
| 270 |
+
2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6263 lr 8.12e-04 |g| 0.083 410.80K tok/s
|
| 271 |
+
2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6175 lr 8.04e-04 |g| 0.088 410.80K tok/s
|
| 272 |
+
2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6844 lr 7.97e-04 |g| 0.090 410.80K tok/s
|
| 273 |
+
2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6803 lr 7.91e-04 |g| 0.094 410.80K tok/s
|
| 274 |
+
2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7361 lr 7.86e-04 |g| 0.092 410.80K tok/s
|
| 275 |
+
2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.8464 lr 7.81e-04 |g| 0.093 410.80K tok/s
|
| 276 |
+
2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7204 lr 7.77e-04 |g| 0.091 410.81K tok/s
|
| 277 |
+
2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6053 lr 7.74e-04 |g| 0.092 410.81K tok/s
|
| 278 |
+
2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7424 lr 7.72e-04 |g| 0.089 410.81K tok/s
|
| 279 |
+
2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7169 lr 7.71e-04 |g| 0.099 410.81K tok/s
|
| 280 |
+
2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7009 lr 7.70e-04 |g| 0.096 410.81K tok/s
|
| 281 |
+
2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6687 lr 7.70e-04 |g| 0.089 410.81K tok/s
|
| 282 |
+
|
| 283 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 284 |
+
|
| 285 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 286 |
+
|
| 287 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 288 |
+
|
| 289 |
+
✓ synchronized training 1502.784s (compilation excluded)
|
| 290 |
+
validation loss 3.6930 in 1.637s
|
| 291 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-7-s1337/stdout.log
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/metrics.json
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| 193 |
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"system": {
|
| 194 |
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"controller_process_index": 1,
|
| 195 |
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"device_count": 16,
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| 196 |
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"device_ids": [
|
| 197 |
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| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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5,
|
| 203 |
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6,
|
| 204 |
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7,
|
| 205 |
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8,
|
| 206 |
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9,
|
| 207 |
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10,
|
| 208 |
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11,
|
| 209 |
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12,
|
| 210 |
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13,
|
| 211 |
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14,
|
| 212 |
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15
|
| 213 |
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],
|
| 214 |
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"device_kinds": [
|
| 215 |
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"TPU v4"
|
| 216 |
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],
|
| 217 |
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"jax_version": "0.11.0",
|
| 218 |
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"jaxlib_version": "0.11.0",
|
| 219 |
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"libtpu_version": "0.0.44.1",
|
| 220 |
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"local_device_count": 4,
|
| 221 |
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"platform": "tpu",
|
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"process_count": 4,
|
| 223 |
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"process_indices": [
|
| 224 |
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| 225 |
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| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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2,
|
| 233 |
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2,
|
| 234 |
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2,
|
| 235 |
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2,
|
| 236 |
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3,
|
| 237 |
+
3,
|
| 238 |
+
3,
|
| 239 |
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3
|
| 240 |
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],
|
| 241 |
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"python_version": "3.12.13"
|
| 242 |
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},
|
| 243 |
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"track": "open"
|
| 244 |
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}
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stderr.log
ADDED
|
@@ -0,0 +1,291 @@
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| 1 |
+
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)
|
| 2 |
+
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)
|
| 3 |
+
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)
|
| 4 |
+
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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 32 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 2dacd79ce81a │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 2,355 steps │
|
| 32 |
+
│ train tokens 617.35M │
|
| 33 |
+
│ traced FLOPs 846622.11T │
|
| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
| 44 |
+
● Training train compiled in 74.16s, eval in 20.21s; periodic validation disabled
|
| 45 |
+
1/2355 ────────────────── loss 10.8898 lr 1.63e-05 |g| 2.553 285.63K tok/s
|
| 46 |
+
10/2355 ────────────────── loss 10.0583 lr 1.63e-04 |g| 2.074 382.79K tok/s
|
| 47 |
+
20/2355 ────────────────── loss 9.1689 lr 3.26e-04 |g| 2.026 396.70K tok/s
|
| 48 |
+
30/2355 ────────────────── loss 8.0959 lr 4.89e-04 |g| 1.587 401.51K tok/s
|
| 49 |
+
40/2355 ────────────────── loss 7.5933 lr 6.52e-04 |g| 0.594 403.90K tok/s
|
| 50 |
+
50/2355 ────────────────── loss 7.4589 lr 8.15e-04 |g| 0.429 405.41K tok/s
|
| 51 |
+
60/2355 ────────────────── loss 7.2556 lr 9.78e-04 |g| 0.398 406.40K tok/s
|
| 52 |
+
70/2355 ━───────────────── loss 7.1053 lr 1.14e-03 |g| 0.398 407.07K tok/s
|
| 53 |
+
80/2355 ━───────────────── loss 6.8759 lr 1.30e-03 |g| 0.369 407.57K tok/s
|
| 54 |
+
90/2355 ━───────────────── loss 6.7207 lr 1.47e-03 |g| 0.310 407.95K tok/s
|
| 55 |
+
100/2355 ━───────────────── loss 6.5266 lr 1.63e-03 |g| 0.352 408.26K tok/s
|
| 56 |
+
110/2355 ━───────────────── loss 6.4404 lr 1.79e-03 |g| 0.442 408.51K tok/s
|
| 57 |
+
120/2355 ━───────────────── loss 6.3370 lr 1.96e-03 |g| 0.514 408.72K tok/s
|
| 58 |
+
130/2355 ━───────────────── loss 6.3312 lr 2.12e-03 |g| 0.362 408.90K tok/s
|
| 59 |
+
140/2355 ━───────────────── loss 6.1480 lr 2.28e-03 |g| 0.541 409.05K tok/s
|
| 60 |
+
150/2355 ━───────────────── loss 5.9929 lr 2.45e-03 |g| 0.339 409.18K tok/s
|
| 61 |
+
160/2355 ━───────────────── loss 5.9872 lr 2.61e-03 |g| 0.337 409.29K tok/s
|
| 62 |
+
170/2355 ━───────────────── loss 5.8768 lr 2.77e-03 |g| 0.618 409.39K tok/s
|
| 63 |
+
180/2355 ━───────────────── loss 5.8516 lr 2.94e-03 |g| 0.431 409.48K tok/s
|
| 64 |
+
190/2355 ━───────────────── loss 5.7250 lr 3.10e-03 |g| 0.390 409.56K tok/s
|
| 65 |
+
200/2355 ━━──────────────── loss 5.7307 lr 3.26e-03 |g| 0.292 409.62K tok/s
|
| 66 |
+
210/2355 ━━──────────────── loss 5.6165 lr 3.42e-03 |g| 0.377 409.69K tok/s
|
| 67 |
+
220/2355 ━━──────────────── loss 5.6173 lr 3.59e-03 |g| 0.544 409.75K tok/s
|
| 68 |
+
230/2355 ━━──────────────── loss 5.5647 lr 3.75e-03 |g| 0.305 409.80K tok/s
|
| 69 |
+
240/2355 ━━──────────────── loss 5.5404 lr 3.85e-03 |g| 0.430 409.85K tok/s
|
| 70 |
+
250/2355 ━━──────────────── loss 5.3311 lr 3.85e-03 |g| 0.268 409.89K tok/s
|
| 71 |
+
260/2355 ━━──────────────── loss 5.3696 lr 3.85e-03 |g| 0.258 409.93K tok/s
|
| 72 |
+
270/2355 ━━──────────────── loss 5.2974 lr 3.85e-03 |g| 0.445 409.97K tok/s
|
| 73 |
+
280/2355 ━━──────────────── loss 5.2278 lr 3.84e-03 |g| 0.269 410.01K tok/s
|
| 74 |
+
290/2355 ━━──────────────── loss 5.1833 lr 3.84e-03 |g| 0.272 410.04K tok/s
|
| 75 |
+
300/2355 ━━──────────────── loss 5.1264 lr 3.84e-03 |g| 0.339 410.08K tok/s
|
| 76 |
+
310/2355 ━━──────────────── loss 5.1056 lr 3.84e-03 |g| 0.211 410.10K tok/s
|
| 77 |
+
320/2355 ━━──────────────── loss 5.0582 lr 3.84e-03 |g| 0.312 410.13K tok/s
|
| 78 |
+
330/2355 ━━━─────────────── loss 4.9833 lr 3.83e-03 |g| 0.219 410.16K tok/s
|
| 79 |
+
340/2355 ━━━─────────────── loss 5.0076 lr 3.83e-03 |g| 0.283 410.19K tok/s
|
| 80 |
+
350/2355 ━━━─────────────── loss 4.9582 lr 3.82e-03 |g| 0.271 410.21K tok/s
|
| 81 |
+
360/2355 ━━━─────────────── loss 4.9987 lr 3.82e-03 |g| 0.224 410.23K tok/s
|
| 82 |
+
370/2355 ━━━─────────────── loss 4.9721 lr 3.81e-03 |g| 0.327 410.25K tok/s
|
| 83 |
+
380/2355 ━━━─────────────── loss 4.9365 lr 3.81e-03 |g| 0.186 410.27K tok/s
|
| 84 |
+
390/2355 ━━━─────────────── loss 4.8770 lr 3.80e-03 |g| 0.207 410.29K tok/s
|
| 85 |
+
400/2355 ━━━─────────────── loss 4.9363 lr 3.80e-03 |g| 0.228 410.30K tok/s
|
| 86 |
+
410/2355 ━━━─────────────── loss 4.7990 lr 3.79e-03 |g| 0.252 410.32K tok/s
|
| 87 |
+
420/2355 ━━━─────────────── loss 4.8304 lr 3.78e-03 |g| 0.236 410.34K tok/s
|
| 88 |
+
430/2355 ━━━─────────────── loss 4.8144 lr 3.78e-03 |g| 0.192 410.35K tok/s
|
| 89 |
+
440/2355 ━━━─────────────── loss 4.8033 lr 3.77e-03 |g| 0.230 410.37K tok/s
|
| 90 |
+
450/2355 ━━━─────────────── loss 4.6646 lr 3.76e-03 |g| 0.208 410.38K tok/s
|
| 91 |
+
460/2355 ━━━━────────────── loss 4.7414 lr 3.75e-03 |g| 0.262 410.40K tok/s
|
| 92 |
+
470/2355 ━━━━────────────── loss 4.6923 lr 3.75e-03 |g| 0.225 410.41K tok/s
|
| 93 |
+
480/2355 ━━━━────────────── loss 4.6398 lr 3.74e-03 |g| 0.223 410.42K tok/s
|
| 94 |
+
490/2355 ━━━━────────────── loss 4.6647 lr 3.73e-03 |g| 0.260 410.43K tok/s
|
| 95 |
+
500/2355 ━━━━────────────── loss 4.6460 lr 3.72e-03 |g| 0.216 410.45K tok/s
|
| 96 |
+
510/2355 ━━━━────────────── loss 4.5206 lr 3.71e-03 |g| 0.164 410.46K tok/s
|
| 97 |
+
520/2355 ━━━━────────────── loss 4.4904 lr 3.70e-03 |g| 0.170 410.47K tok/s
|
| 98 |
+
530/2355 ━━━━────────────── loss 4.6185 lr 3.69e-03 |g| 0.171 410.48K tok/s
|
| 99 |
+
540/2355 ━━━━────────────── loss 4.5207 lr 3.68e-03 |g| 0.200 410.49K tok/s
|
| 100 |
+
550/2355 ━━━━────────────── loss 4.5483 lr 3.66e-03 |g| 0.177 410.50K tok/s
|
| 101 |
+
560/2355 ━━━━────────────── loss 4.4614 lr 3.65e-03 |g| 0.197 410.51K tok/s
|
| 102 |
+
570/2355 ━━━━────────────── loss 4.5597 lr 3.64e-03 |g| 0.197 410.52K tok/s
|
| 103 |
+
580/2355 ━━━━────────────── loss 4.5474 lr 3.63e-03 |g| 0.185 410.52K tok/s
|
| 104 |
+
590/2355 ━━━━━───────────── loss 4.4605 lr 3.62e-03 |g| 0.165 410.53K tok/s
|
| 105 |
+
600/2355 ━━━━━───────────── loss 4.3627 lr 3.60e-03 |g| 0.192 410.54K tok/s
|
| 106 |
+
610/2355 ━━━━━───────────── loss 4.4501 lr 3.59e-03 |g| 0.249 410.55K tok/s
|
| 107 |
+
620/2355 ━━━━━───────────── loss 4.3295 lr 3.58e-03 |g| 0.194 410.55K tok/s
|
| 108 |
+
630/2355 ━━━━━───────────── loss 4.3217 lr 3.56e-03 |g| 0.205 410.56K tok/s
|
| 109 |
+
640/2355 ━━━━━───────────── loss 4.3444 lr 3.55e-03 |g| 0.181 410.56K tok/s
|
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1900/2355 ━━━━━━━━━━━━━━━─── loss 3.6289 lr 7.64e-04 |g| 0.123 410.87K tok/s
|
| 236 |
+
1910/2355 ━━━━━━━━━━━━━━━─── loss 3.6453 lr 7.48e-04 |g| 0.128 410.87K tok/s
|
| 237 |
+
1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7171 lr 7.33e-04 |g| 0.120 410.87K tok/s
|
| 238 |
+
1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7025 lr 7.17e-04 |g| 0.125 410.87K tok/s
|
| 239 |
+
1940/2355 ━━━━━━━━━━━━━━━─── loss 3.6831 lr 7.02e-04 |g| 0.128 410.87K tok/s
|
| 240 |
+
1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7080 lr 6.88e-04 |g| 0.127 410.87K tok/s
|
| 241 |
+
1960/2355 ━━━━━━━━━━━━━━━─── loss 3.6802 lr 6.73e-04 |g| 0.119 410.87K tok/s
|
| 242 |
+
1970/2355 ━━━━━━━━━━━━━━━─── loss 3.6959 lr 6.59e-04 |g| 0.125 410.87K tok/s
|
| 243 |
+
1980/2355 ━━━━━━━━━━━━━━━─── loss 3.5848 lr 6.46e-04 |g| 0.119 410.87K tok/s
|
| 244 |
+
1990/2355 ━━━━━━━━━━━━━━━─── loss 3.6825 lr 6.32e-04 |g| 0.121 410.87K tok/s
|
| 245 |
+
2000/2355 ━━━━━━━━━━━━━━━─── loss 3.6565 lr 6.19e-04 |g| 0.122 410.88K tok/s
|
| 246 |
+
2010/2355 ━━━━━━━━━━━━━━━─── loss 3.6286 lr 6.07e-04 |g| 0.115 410.88K tok/s
|
| 247 |
+
2020/2355 ━━━━━━━━━━━━━━━─── loss 3.5943 lr 5.94e-04 |g| 0.128 410.88K tok/s
|
| 248 |
+
2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6117 lr 5.82e-04 |g| 0.119 410.88K tok/s
|
| 249 |
+
2040/2355 ━━━━━━━━━━━━━━━━── loss 3.6544 lr 5.70e-04 |g| 0.127 410.88K tok/s
|
| 250 |
+
2050/2355 ━━━━━━━━━━━━━━━━── loss 3.6545 lr 5.59e-04 |g| 0.128 410.88K tok/s
|
| 251 |
+
2060/2355 ━━━━━━━━━━━━━━━━── loss 3.5458 lr 5.48e-04 |g| 0.126 410.88K tok/s
|
| 252 |
+
2070/2355 ━━━━━━━━━━━━━━━━── loss 3.6604 lr 5.37e-04 |g| 0.128 410.88K tok/s
|
| 253 |
+
2080/2355 ━━━━━━━━━━━━━━━━── loss 3.6365 lr 5.27e-04 |g| 0.125 410.88K tok/s
|
| 254 |
+
2090/2355 ━━━━━━━━━━━━━━━━── loss 3.7300 lr 5.17e-04 |g| 0.111 410.88K tok/s
|
| 255 |
+
2100/2355 ━━━━━━━━━━━━━━━━── loss 3.6520 lr 5.07e-04 |g| 0.119 410.88K tok/s
|
| 256 |
+
2110/2355 ━━━━━━━━━━━━━━━━── loss 3.6359 lr 4.98e-04 |g| 0.125 410.88K tok/s
|
| 257 |
+
2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6016 lr 4.89e-04 |g| 0.124 410.88K tok/s
|
| 258 |
+
2130/2355 ━━━━━━━━━━━━━━━━── loss 3.5859 lr 4.80e-04 |g| 0.121 410.88K tok/s
|
| 259 |
+
2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6051 lr 4.72e-04 |g| 0.123 410.89K tok/s
|
| 260 |
+
2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7014 lr 4.64e-04 |g| 0.122 410.89K tok/s
|
| 261 |
+
2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6930 lr 4.57e-04 |g| 0.133 410.89K tok/s
|
| 262 |
+
2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5907 lr 4.50e-04 |g| 0.131 410.89K tok/s
|
| 263 |
+
2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5800 lr 4.43e-04 |g| 0.124 410.89K tok/s
|
| 264 |
+
2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6441 lr 4.36e-04 |g| 0.119 410.89K tok/s
|
| 265 |
+
2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6652 lr 4.30e-04 |g| 0.116 410.89K tok/s
|
| 266 |
+
2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5608 lr 4.25e-04 |g| 0.135 410.89K tok/s
|
| 267 |
+
2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6626 lr 4.19e-04 |g| 0.121 410.89K tok/s
|
| 268 |
+
2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6620 lr 4.15e-04 |g| 0.125 410.89K tok/s
|
| 269 |
+
2240/2355 ━━━━━━━━━��━━━━━━━─ loss 3.6272 lr 4.10e-04 |g| 0.126 410.89K tok/s
|
| 270 |
+
2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5587 lr 4.06e-04 |g| 0.119 410.89K tok/s
|
| 271 |
+
2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.5455 lr 4.02e-04 |g| 0.126 410.89K tok/s
|
| 272 |
+
2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6122 lr 3.99e-04 |g| 0.125 410.89K tok/s
|
| 273 |
+
2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6062 lr 3.96e-04 |g| 0.127 410.89K tok/s
|
| 274 |
+
2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6673 lr 3.93e-04 |g| 0.120 410.89K tok/s
|
| 275 |
+
2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7702 lr 3.91e-04 |g| 0.126 410.89K tok/s
|
| 276 |
+
2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6514 lr 3.89e-04 |g| 0.117 410.90K tok/s
|
| 277 |
+
2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5351 lr 3.87e-04 |g| 0.129 410.90K tok/s
|
| 278 |
+
2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6732 lr 3.86e-04 |g| 0.126 410.90K tok/s
|
| 279 |
+
2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6456 lr 3.85e-04 |g| 0.124 410.90K tok/s
|
| 280 |
+
2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6290 lr 3.85e-04 |g| 0.135 410.90K tok/s
|
| 281 |
+
2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5989 lr 3.85e-04 |g| 0.123 410.90K tok/s
|
| 282 |
+
|
| 283 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 284 |
+
|
| 285 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 286 |
+
|
| 287 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 288 |
+
|
| 289 |
+
✓ synchronized training 1502.456s (compilation excluded)
|
| 290 |
+
validation loss 3.6260 in 1.600s
|
| 291 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/stdout.log
ADDED
|
@@ -0,0 +1 @@
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+
RIG_RESULT={"artifacts":{"diagnostics":"diagnostics.riglog","training_curve":"training.riglog","validation_curve":"validation.csv"},"checkpoint":null,"contract":{"dataset_id":"fineweb-8b-gpt2","model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"model_id":"reference-gpt-v3-family","sequence_length":8192,"tokenizer_id":"gpt2"},"evaluations":{"fineweb":{"canonical":true,"loss":3.6259662806987762,"perplexity":37.561000099347744,"scored_tokens":2097152,"seconds":1.5996261850232258}},"implementation":{"attention_backend":"tpu_flash","attention_tuning":{"key_digest":"2dacd79ce81a3ea503efd3e78b3da9cb6e00fd24cdd8397b246ee12f01f31dce","resolution_source":"heuristic","tiles":{"block_kv":512,"block_kv_compute":256,"block_kv_dkv":512,"block_kv_dkv_compute":256,"block_kv_dq":512,"block_kv_dq_compute":256,"block_q":512,"block_q_dkv":512,"block_q_dkv_compute":256,"block_q_dq":256},"tune_seconds":0.0},"configuration":{"overrides":{"study_batch_size":32,"tokens_per_parameter_micros":5000000},"path":"config.yaml","profile":"dev","resolved":{"evaluation":{"eval_batches":8,"val_every":0,"val_probe_batches":8},"kernels":{"attention_backend":"tpu_flash","loss_backend":"tiled","vocab_tile_size":2048},"logging":{"diagnostics_every":10,"log_every":10},"model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"optimizer":{"adam_epsilon":1e-08,"beta1":0.9,"beta2":0.95,"effective":{"adam_epsilon_horizon_multiplier":1.0149924705223765,"beta1":0.9029323850057802,"beta2":0.95146619250289,"global_peak_learning_rate":0.0038485507168241435,"weight_decay_horizon_multiplier":0.9852289835069807},"grad_clip":0.0,"learning_rate":0.00390625,"min_lr_ratio":0.1,"warmup_steps":236,"weight_decay":0.1},"parameterization":{"attention_scale":"inverse_head_dim","base_depth":12,"base_width":384,"batch_multiplier":2.0,"data_multiplier":2.0604194304342345,"depth_alpha":1.0,"depth_multiplier":1.0,"embeddings":"untied","init_std":0.02,"name":"complete_d_p","width_multiplier":1.6666666666666667},"training":{"batch_size":32,"dtype":"bfloat16","sampling":"shuffled_epochs","seq_len":8192,"steps":2355,"tokens_per_parameter":5.0005339526492865,"train_tokens":617349120}},"schema_version":2,"sha256":"a4bad1be29b57d20ec7ae7b0d539f2e777d11f5539607655550b7afca185affe"},"loss_backend":"tiled","vocab_tile_size":2048},"metrics":{"achieved_tflops":563.4921742789804,"attention_tune_seconds":0.0,"base_learning_rate":0.00390625,"diagnostic_compile_seconds":94.36441941990051,"diagnostic_point_count":237,"diagnostics_every":10,"early_stopping_step":null,"estimated_total_flops":846622112926924800,"eval_compile_seconds":20.205589626915753,"expert_top_k":2,"experts":8,"final_validation_seconds":1.5996261850232258,"flop_accounting":{"by_site":{"dot_general":3116881674240,"pallas_call":1932735283200,"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":0.12806640324522284,"model_tier":"125m","parameter_count":123525760,"parameters":241628800,"schedule_steps":2355,"tokens_per_parameter":5.0005339526492865,"tokens_per_second":410893.3520710453,"tokens_processed":617349120,"total_compile_seconds":188.7349784367252,"total_parameter_count":241628800,"train_compile_seconds":74.16496938990895,"train_loss":3.5988523960113525,"train_seconds":1502.4558486730093,"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":3.6259662806987762,"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"}
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/training.riglog
ADDED
|
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:6a49ed0d29910de188b606ee534193ff9288d83c102fa7c0a319b7ec563b1cd5
|
| 3 |
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size 1341056
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-8-s1337/validation.csv
ADDED
|
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| 1 |
+
step,tokens_processed,kind,domain,validation_tokens,validation_loss,perplexity,validation_seconds,canonical
|
| 2 |
+
2355,617349120,fineweb,fineweb,2097152,3.6259662806987762,37.561000099347744,1.5996261850232258,true
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/diagnostics.riglog
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1fd081815a07d9a7abbb41087d2c0759523c5452d7202b161ee8d43014d14359
|
| 3 |
+
size 280916
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/metrics.json
ADDED
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@@ -0,0 +1,244 @@
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/result.json
ADDED
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@@ -0,0 +1,244 @@
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batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stderr.log
ADDED
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@@ -0,0 +1,291 @@
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| 1 |
+
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)
|
| 2 |
+
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)
|
| 3 |
+
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)
|
| 4 |
+
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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 32 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
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| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 2dacd79ce81a │
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| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
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| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
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| 30 |
+
│ diagnostics step 1 / every 10 / final │
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| 31 |
+
│ duration 2,355 steps │
|
| 32 |
+
│ train tokens 617.35M │
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| 33 |
+
│ traced FLOPs 846622.11T │
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| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
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| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
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| 37 |
+
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| 38 |
+
● Compiling train step compilation is outside train_seconds
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| 39 |
+
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| 40 |
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● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
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| 41 |
+
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| 42 |
+
● Compiling evaluation reused by probes and final validation
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| 43 |
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| 44 |
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● Training train compiled in 62.98s, eval in 18.75s; periodic validation disabled
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1350/2355 ━━━━━━━━━━──────── loss 3.8331 lr 9.88e-04 |g| 0.192 410.83K tok/s
|
| 181 |
+
1360/2355 ━━━━━━━━━━──────── loss 4.0162 lr 9.76e-04 |g| 0.206 410.83K tok/s
|
| 182 |
+
1370/2355 ━━━━━━━━━━──────── loss 3.8455 lr 9.63e-04 |g| 0.192 410.83K tok/s
|
| 183 |
+
1380/2355 ━━━━━━━━━━━─────── loss 3.9496 lr 9.50e-04 |g| 0.187 410.83K tok/s
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| 184 |
+
1390/2355 ━━━━━━━━━━━─────── loss 3.8504 lr 9.37e-04 |g| 0.247 410.84K tok/s
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| 185 |
+
1400/2355 ━━━━━━━━━━━─────── loss 3.9380 lr 9.25e-04 |g| 0.191 410.84K tok/s
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| 186 |
+
1410/2355 ━━━━━━━━━━━─────── loss 3.9747 lr 9.12e-04 |g| 0.189 410.84K tok/s
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| 187 |
+
1420/2355 ━━━━━━━━━━━─────── loss 3.8193 lr 8.99e-04 |g| 0.204 410.84K tok/s
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| 188 |
+
1430/2355 ━━━━━━━━━━━─────── loss 3.8266 lr 8.87e-04 |g| 0.196 410.84K tok/s
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| 189 |
+
1440/2355 ━━━━━━━━━━━─────── loss 3.8941 lr 8.74e-04 |g| 0.185 410.84K tok/s
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| 190 |
+
1450/2355 ━━━━━━━━━━━─────── loss 3.8293 lr 8.62e-04 |g| 0.183 410.84K tok/s
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| 191 |
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1460/2355 ━━━━━━━━━━━─────── loss 3.9347 lr 8.49e-04 |g| 0.188 410.84K tok/s
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| 192 |
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1470/2355 ━━━━━━━━━━━─────── loss 3.8931 lr 8.37e-04 |g| 0.188 410.84K tok/s
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| 193 |
+
1480/2355 ━━━━━━━━━━━─────── loss 3.8653 lr 8.24e-04 |g| 0.181 410.85K tok/s
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| 194 |
+
1490/2355 ━━━━━━━━━━━─────── loss 3.8860 lr 8.12e-04 |g| 0.173 410.85K tok/s
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| 195 |
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1500/2355 ━━━━━━━━━━━─────── loss 3.8348 lr 8.00e-04 |g| 0.176 410.85K tok/s
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| 196 |
+
1510/2355 ━━━━━━━━━━━━────── loss 3.8263 lr 7.88e-04 |g| 0.186 410.85K tok/s
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| 197 |
+
1520/2355 ━━━━━━━━━━━━────── loss 3.7930 lr 7.75e-04 |g| 0.185 410.85K tok/s
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| 198 |
+
1530/2355 ━━━━━━━━━━━━────── loss 3.8287 lr 7.63e-04 |g| 0.187 410.85K tok/s
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| 199 |
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1540/2355 ━━━━━━━━━━━━────── loss 3.8631 lr 7.51e-04 |g| 0.183 410.85K tok/s
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| 200 |
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1550/2355 ━━━━━━━━━━━━────── loss 3.8564 lr 7.39e-04 |g| 0.189 410.85K tok/s
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| 201 |
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1560/2355 ━━━━━━━━━━━━────── loss 3.8521 lr 7.27e-04 |g| 0.193 410.85K tok/s
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| 202 |
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1570/2355 ━━━━━━━━━━━━────── loss 3.8040 lr 7.16e-04 |g| 0.173 410.86K tok/s
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| 203 |
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1580/2355 ━━━━━━━━━━━━────── loss 3.8423 lr 7.04e-04 |g| 0.181 410.86K tok/s
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| 204 |
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1590/2355 ━━━━━━━━━━━━────── loss 3.8253 lr 6.92e-04 |g| 0.180 410.86K tok/s
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| 205 |
+
1600/2355 ━━━━━━━━━━━━────── loss 3.8301 lr 6.81e-04 |g| 0.187 410.86K tok/s
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| 206 |
+
1610/2355 ━━━━━━━━━━━━────── loss 3.7632 lr 6.69e-04 |g| 0.184 410.86K tok/s
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| 207 |
+
1620/2355 ━━━━━━━━━━━━────── loss 3.8304 lr 6.58e-04 |g| 0.183 410.86K tok/s
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| 208 |
+
1630/2355 ━━━━━━━━━━━━────── loss 3.7558 lr 6.46e-04 |g| 0.176 410.86K tok/s
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| 209 |
+
1640/2355 ━━━━━━━━━━━━━───── loss 3.8062 lr 6.35e-04 |g| 0.179 410.86K tok/s
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| 210 |
+
1650/2355 ━━━━━━━━━━━━━───── loss 3.7849 lr 6.24e-04 |g| 0.179 410.86K tok/s
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| 211 |
+
1660/2355 ━━━━━━━━━━━━━───── loss 3.8240 lr 6.13e-04 |g| 0.168 410.86K tok/s
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| 212 |
+
1670/2355 ━━━━━━━━━━━━━───── loss 3.8121 lr 6.02e-04 |g| 0.183 410.86K tok/s
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| 213 |
+
1680/2355 ━━━━━━━━━━━━━───── loss 3.7942 lr 5.91e-04 |g| 0.181 410.87K tok/s
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| 214 |
+
1690/2355 ━━━━━━━━━━━━━───── loss 3.7934 lr 5.80e-04 |g| 0.168 410.87K tok/s
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| 215 |
+
1700/2355 ━━━━━━━━━━━━━───── loss 3.7429 lr 5.70e-04 |g| 0.176 410.87K tok/s
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| 216 |
+
1710/2355 ━━━━━━━━━━━━━───── loss 3.7517 lr 5.59e-04 |g| 0.170 410.87K tok/s
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| 217 |
+
1720/2355 ━━━━━━━━━━━━━───── loss 3.7874 lr 5.49e-04 |g| 0.185 410.87K tok/s
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| 218 |
+
1730/2355 ━━━━━━━━━━━━━───── loss 3.8361 lr 5.38e-04 |g| 0.173 410.87K tok/s
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| 219 |
+
1740/2355 ━━━━━━━━━━━━━───── loss 3.8133 lr 5.28e-04 |g| 0.183 410.87K tok/s
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| 220 |
+
1750/2355 ━━━━━━━━━━━━━───── loss 3.7806 lr 5.18e-04 |g| 0.178 410.87K tok/s
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| 221 |
+
1760/2355 ━━━━━━━━━━━━━───── loss 3.7698 lr 5.08e-04 |g| 0.176 410.87K tok/s
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| 222 |
+
1770/2355 ━━━━━━━━━━━━━━──── loss 3.8022 lr 4.98e-04 |g| 0.175 410.87K tok/s
|
| 223 |
+
1780/2355 ━━━━━━━━━━━━━━──── loss 3.7269 lr 4.88e-04 |g| 0.174 410.87K tok/s
|
| 224 |
+
1790/2355 ━━━━━━━━━━━━━━──── loss 3.7636 lr 4.79e-04 |g| 0.189 410.87K tok/s
|
| 225 |
+
1800/2355 ━━━━━━━━━━━━━━──── loss 3.8174 lr 4.69e-04 |g| 0.199 410.87K tok/s
|
| 226 |
+
1810/2355 ━━━━━━━━━━━━━━──── loss 3.8608 lr 4.60e-04 |g| 0.194 410.87K tok/s
|
| 227 |
+
1820/2355 ━━━━━━━━━━━━━━──── loss 3.7684 lr 4.51e-04 |g| 0.179 410.88K tok/s
|
| 228 |
+
1830/2355 ━━━━━━━━━━━━━━──── loss 3.7541 lr 4.42e-04 |g| 0.183 410.88K tok/s
|
| 229 |
+
1840/2355 ━━━━━━━━━━━━━━──── loss 3.7080 lr 4.33e-04 |g| 0.172 410.88K tok/s
|
| 230 |
+
1850/2355 ━━━━━━━━━━━━━━──── loss 3.8153 lr 4.24e-04 |g| 0.186 410.88K tok/s
|
| 231 |
+
1860/2355 ━━━━━━━━━━━━━━──── loss 3.7569 lr 4.15e-04 |g| 0.182 410.88K tok/s
|
| 232 |
+
1870/2355 ━━━━━━━━━━━━━━──── loss 3.6996 lr 4.07e-04 |g| 0.176 410.88K tok/s
|
| 233 |
+
1880/2355 ━━━━━━━━━━━━━━──── loss 3.8588 lr 3.98e-04 |g| 0.170 410.88K tok/s
|
| 234 |
+
1890/2355 ━━━━━━━━━━━━━━──── loss 3.7904 lr 3.90e-04 |g| 0.186 410.88K tok/s
|
| 235 |
+
1900/2355 ━━━━━━━━━━━━━━━─── loss 3.6809 lr 3.82e-04 |g| 0.178 410.88K tok/s
|
| 236 |
+
1910/2355 ━━━━━━━━━━━━━━━─── loss 3.6985 lr 3.74e-04 |g| 0.174 410.88K tok/s
|
| 237 |
+
1920/2355 ━━━━━━━━━━━━━━━─── loss 3.7708 lr 3.66e-04 |g| 0.174 410.88K tok/s
|
| 238 |
+
1930/2355 ━━━━━━━━━━━━━━━─── loss 3.7525 lr 3.59e-04 |g| 0.170 410.88K tok/s
|
| 239 |
+
1940/2355 ━━━━━━━━━━━━━━━─── loss 3.7352 lr 3.51e-04 |g| 0.179 410.88K tok/s
|
| 240 |
+
1950/2355 ━━━━━━━━━━━━━━━─── loss 3.7620 lr 3.44e-04 |g| 0.180 410.88K tok/s
|
| 241 |
+
1960/2355 ━━━━━━━━━━━━━━━─── loss 3.7335 lr 3.37e-04 |g| 0.171 410.88K tok/s
|
| 242 |
+
1970/2355 ━━━━━━━━━━━━━━━─── loss 3.7525 lr 3.30e-04 |g| 0.172 410.88K tok/s
|
| 243 |
+
1980/2355 ━━━━━━━━━━━━━━━─── loss 3.6359 lr 3.23e-04 |g| 0.175 410.88K tok/s
|
| 244 |
+
1990/2355 ━━━━━━━━━━━━━━━─── loss 3.7387 lr 3.16e-04 |g| 0.173 410.89K tok/s
|
| 245 |
+
2000/2355 ━━━━━━━━━━━━━━━─── loss 3.7078 lr 3.10e-04 |g| 0.177 410.89K tok/s
|
| 246 |
+
2010/2355 ━━━━━━━━━━━━━━━─── loss 3.6807 lr 3.03e-04 |g| 0.167 410.89K tok/s
|
| 247 |
+
2020/2355 ━━━━━━━━━━━━━━━─── loss 3.6503 lr 2.97e-04 |g| 0.178 410.89K tok/s
|
| 248 |
+
2030/2355 ━━━━━━━━━━━━━━━━── loss 3.6632 lr 2.91e-04 |g| 0.172 410.89K tok/s
|
| 249 |
+
2040/2355 ━━━━━━━━━━━━━━━━── loss 3.7051 lr 2.85e-04 |g| 0.167 410.89K tok/s
|
| 250 |
+
2050/2355 ━━━━━━━━━━━━━━━━── loss 3.7128 lr 2.79e-04 |g| 0.188 410.89K tok/s
|
| 251 |
+
2060/2355 ━━━━━━━━━━━━━━━━── loss 3.5990 lr 2.74e-04 |g| 0.180 410.89K tok/s
|
| 252 |
+
2070/2355 ━━━━━━━━━━━━━━━━── loss 3.7124 lr 2.69e-04 |g| 0.181 410.89K tok/s
|
| 253 |
+
2080/2355 ━━━━━━━━━━━━━━━━── loss 3.6889 lr 2.63e-04 |g| 0.165 410.89K tok/s
|
| 254 |
+
2090/2355 ━━━━━━━━━━━━━━━━── loss 3.7850 lr 2.58e-04 |g| 0.167 410.89K tok/s
|
| 255 |
+
2100/2355 ━━━━━━━━━━━━━━━━── loss 3.7052 lr 2.54e-04 |g| 0.164 410.89K tok/s
|
| 256 |
+
2110/2355 ━━━━━━━━━━━━━━━━── loss 3.6924 lr 2.49e-04 |g| 0.174 410.89K tok/s
|
| 257 |
+
2120/2355 ━━━━━━━━━━━━━━━━── loss 3.6554 lr 2.44e-04 |g| 0.174 410.89K tok/s
|
| 258 |
+
2130/2355 ━━━━━━━━━━━━━━━━── loss 3.6447 lr 2.40e-04 |g| 0.170 410.89K tok/s
|
| 259 |
+
2140/2355 ━━━━━━━━━━━━━━━━── loss 3.6585 lr 2.36e-04 |g| 0.175 410.89K tok/s
|
| 260 |
+
2150/2355 ━━━━━━━━━━━━━━━━── loss 3.7553 lr 2.32e-04 |g| 0.173 410.89K tok/s
|
| 261 |
+
2160/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7478 lr 2.28e-04 |g| 0.189 410.89K tok/s
|
| 262 |
+
2170/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6477 lr 2.25e-04 |g| 0.181 410.90K tok/s
|
| 263 |
+
2180/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6307 lr 2.21e-04 |g| 0.164 410.90K tok/s
|
| 264 |
+
2190/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6958 lr 2.18e-04 |g| 0.171 410.90K tok/s
|
| 265 |
+
2200/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7186 lr 2.15e-04 |g| 0.160 410.90K tok/s
|
| 266 |
+
2210/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6171 lr 2.12e-04 |g| 0.179 410.90K tok/s
|
| 267 |
+
2220/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7203 lr 2.10e-04 |g| 0.176 410.90K tok/s
|
| 268 |
+
2230/2355 ━━━━━━━━━━━━━━━━━─ loss 3.7182 lr 2.07e-04 |g| 0.178 410.90K tok/s
|
| 269 |
+
2240/2355 ━━━━━━━━━��━━━━━━━─ loss 3.6848 lr 2.05e-04 |g| 0.174 410.90K tok/s
|
| 270 |
+
2250/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6122 lr 2.03e-04 |g| 0.165 410.90K tok/s
|
| 271 |
+
2260/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6035 lr 2.01e-04 |g| 0.175 410.90K tok/s
|
| 272 |
+
2270/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6723 lr 1.99e-04 |g| 0.176 410.90K tok/s
|
| 273 |
+
2280/2355 ━━━━━━━━━━━━━━━━━─ loss 3.6662 lr 1.98e-04 |g| 0.170 410.90K tok/s
|
| 274 |
+
2290/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7250 lr 1.96e-04 |g| 0.170 410.90K tok/s
|
| 275 |
+
2300/2355 ━━━━━━━━━━━━━━━━━━ loss 3.8301 lr 1.95e-04 |g| 0.197 410.90K tok/s
|
| 276 |
+
2310/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7114 lr 1.94e-04 |g| 0.167 410.90K tok/s
|
| 277 |
+
2320/2355 ━━━━━━━━━━━━━━━━━━ loss 3.5951 lr 1.94e-04 |g| 0.171 410.90K tok/s
|
| 278 |
+
2330/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7286 lr 1.93e-04 |g| 0.173 410.90K tok/s
|
| 279 |
+
2340/2355 ━━━━━━━━━━━━━━━━━━ loss 3.7009 lr 1.93e-04 |g| 0.176 410.90K tok/s
|
| 280 |
+
2350/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6877 lr 1.92e-04 |g| 0.193 410.90K tok/s
|
| 281 |
+
2355/2355 ━━━━━━━━━━━━━━━━━━ loss 3.6548 lr 1.92e-04 |g| 0.166 410.90K tok/s
|
| 282 |
+
|
| 283 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 284 |
+
|
| 285 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 286 |
+
|
| 287 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 288 |
+
|
| 289 |
+
✓ synchronized training 1502.441s (compilation excluded)
|
| 290 |
+
validation loss 3.6831 in 1.620s
|
| 291 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs32-lr2e-9-s1337/stdout.log
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
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batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/metrics.json
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| 1 |
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{
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| 193 |
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"system": {
|
| 194 |
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"controller_process_index": 1,
|
| 195 |
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"device_count": 16,
|
| 196 |
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"device_ids": [
|
| 197 |
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0,
|
| 198 |
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1,
|
| 199 |
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2,
|
| 200 |
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3,
|
| 201 |
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4,
|
| 202 |
+
5,
|
| 203 |
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6,
|
| 204 |
+
7,
|
| 205 |
+
8,
|
| 206 |
+
9,
|
| 207 |
+
10,
|
| 208 |
+
11,
|
| 209 |
+
12,
|
| 210 |
+
13,
|
| 211 |
+
14,
|
| 212 |
+
15
|
| 213 |
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],
|
| 214 |
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"device_kinds": [
|
| 215 |
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"TPU v4"
|
| 216 |
+
],
|
| 217 |
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"jax_version": "0.11.0",
|
| 218 |
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"jaxlib_version": "0.11.0",
|
| 219 |
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"libtpu_version": "0.0.44.1",
|
| 220 |
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"local_device_count": 4,
|
| 221 |
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"platform": "tpu",
|
| 222 |
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"process_count": 4,
|
| 223 |
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"process_indices": [
|
| 224 |
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0,
|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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1,
|
| 230 |
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1,
|
| 231 |
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1,
|
| 232 |
+
2,
|
| 233 |
+
2,
|
| 234 |
+
2,
|
| 235 |
+
2,
|
| 236 |
+
3,
|
| 237 |
+
3,
|
| 238 |
+
3,
|
| 239 |
+
3
|
| 240 |
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],
|
| 241 |
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"python_version": "3.12.13"
|
| 242 |
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},
|
| 243 |
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"track": "open"
|
| 244 |
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}
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/stderr.log
ADDED
|
@@ -0,0 +1,173 @@
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| 1 |
+
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)
|
| 2 |
+
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)
|
| 3 |
+
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)
|
| 4 |
+
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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 64 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 4a03491fb0eb │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 1,177 steps │
|
| 32 |
+
│ train tokens 617.09M │
|
| 33 |
+
│ traced FLOPs 846262.61T │
|
| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
| 44 |
+
● Training train compiled in 55.67s, eval in 22.48s; periodic validation disabled
|
| 45 |
+
1/1177 ────────────────── loss 10.8878 lr 9.22e-05 |g| 2.551 338.04K tok/s
|
| 46 |
+
10/1177 ────────────────── loss 8.9086 lr 9.22e-04 |g| 1.977 403.32K tok/s
|
| 47 |
+
20/1177 ────────────────── loss 7.6980 lr 1.84e-03 |g| 0.721 410.18K tok/s
|
| 48 |
+
30/1177 ────────────────── loss 7.7340 lr 2.77e-03 |g| 0.705 412.68K tok/s
|
| 49 |
+
40/1177 ━───────────────── loss 7.6891 lr 3.69e-03 |g| 0.491 414.07K tok/s
|
| 50 |
+
50/1177 ━───────────────── loss 7.4374 lr 4.61e-03 |g| 0.729 414.83K tok/s
|
| 51 |
+
60/1177 ━───────────────── loss 7.2717 lr 5.53e-03 |g| 0.363 415.26K tok/s
|
| 52 |
+
70/1177 ━───────────────── loss 7.2314 lr 6.46e-03 |g| 0.544 415.55K tok/s
|
| 53 |
+
80/1177 ━───────────────── loss 7.1500 lr 7.38e-03 |g| 0.343 415.76K tok/s
|
| 54 |
+
90/1177 ━───────────────── loss 7.0224 lr 8.30e-03 |g| 0.372 415.90K tok/s
|
| 55 |
+
100/1177 ━━──────────────── loss 6.9719 lr 9.22e-03 |g| 0.457 416.01K tok/s
|
| 56 |
+
110/1177 ━━──────────────── loss 6.9745 lr 1.01e-02 |g| 0.924 416.10K tok/s
|
| 57 |
+
120/1177 ━━──────────────── loss 6.8412 lr 1.09e-02 |g| 0.650 416.17K tok/s
|
| 58 |
+
130/1177 ━━──────────────── loss 6.6542 lr 1.09e-02 |g| 0.363 416.23K tok/s
|
| 59 |
+
140/1177 ━━──────────────── loss 6.5767 lr 1.09e-02 |g| 0.472 416.27K tok/s
|
| 60 |
+
150/1177 ━━──────────────── loss 6.4493 lr 1.09e-02 |g| 0.481 416.31K tok/s
|
| 61 |
+
160/1177 ━━──────────────── loss 6.3714 lr 1.08e-02 |g| 0.353 416.34K tok/s
|
| 62 |
+
170/1177 ━━━─────────────── loss 6.2705 lr 1.08e-02 |g| 0.288 416.37K tok/s
|
| 63 |
+
180/1177 ━━━─────────────── loss 6.2491 lr 1.08e-02 |g| 0.287 416.39K tok/s
|
| 64 |
+
190/1177 ━━━─────────────── loss 6.1249 lr 1.08e-02 |g| 0.219 416.42K tok/s
|
| 65 |
+
200/1177 ━━━─────────────── loss 6.1364 lr 1.07e-02 |g| 0.208 416.43K tok/s
|
| 66 |
+
210/1177 ━━━─────────────── loss 6.0603 lr 1.07e-02 |g| 0.213 416.44K tok/s
|
| 67 |
+
220/1177 ━━━─────────────── loss 5.9603 lr 1.07e-02 |g| 0.230 416.46K tok/s
|
| 68 |
+
230/1177 ━━━━────────────── loss 5.9052 lr 1.06e-02 |g| 0.207 416.48K tok/s
|
| 69 |
+
240/1177 ━━━━────────────── loss 5.8438 lr 1.06e-02 |g| 0.214 416.49K tok/s
|
| 70 |
+
250/1177 ━━━━────────────── loss 5.7820 lr 1.05e-02 |g| 0.160 416.50K tok/s
|
| 71 |
+
260/1177 ━━━━────────────── loss 5.7778 lr 1.05e-02 |g| 0.288 416.51K tok/s
|
| 72 |
+
270/1177 ━━━━────────────── loss 5.6957 lr 1.04e-02 |g| 0.118 416.52K tok/s
|
| 73 |
+
280/1177 ━━━━────────────── loss 5.6942 lr 1.03e-02 |g| 0.233 416.53K tok/s
|
| 74 |
+
290/1177 ━━━━────────────── loss 5.6443 lr 1.03e-02 |g| 0.174 416.54K tok/s
|
| 75 |
+
300/1177 ━━━━━───────────── loss 5.5234 lr 1.02e-02 |g| 0.125 416.55K tok/s
|
| 76 |
+
310/1177 ━━━━━───────────── loss 5.4968 lr 1.01e-02 |g| 0.176 416.56K tok/s
|
| 77 |
+
320/1177 ━━━━━───────────── loss 5.4448 lr 1.00e-02 |g| 0.275 416.56K tok/s
|
| 78 |
+
330/1177 ━━━━━───────────── loss 5.4664 lr 9.95e-03 |g| 0.114 416.57K tok/s
|
| 79 |
+
340/1177 ━━━━━───────────── loss 5.4613 lr 9.86e-03 |g| 0.144 416.58K tok/s
|
| 80 |
+
350/1177 ━━━━━───────────── loss 5.3406 lr 9.77e-03 |g| 0.284 416.58K tok/s
|
| 81 |
+
360/1177 ━━━━━━──────────── loss 5.3279 lr 9.68e-03 |g| 0.185 416.59K tok/s
|
| 82 |
+
370/1177 ━━━━━━──────────── loss 5.2443 lr 9.58e-03 |g| 0.152 416.60K tok/s
|
| 83 |
+
380/1177 ━━━━━━──────────── loss 5.2374 lr 9.48e-03 |g| 0.113 416.60K tok/s
|
| 84 |
+
390/1177 ━━━━━━──────────── loss 5.2448 lr 9.38e-03 |g| 0.157 416.61K tok/s
|
| 85 |
+
400/1177 ━━━━━━──────────── loss 5.1717 lr 9.27e-03 |g| 0.256 416.61K tok/s
|
| 86 |
+
410/1177 ━━━━━━──────────── loss 5.1499 lr 9.16e-03 |g| 0.094 416.62K tok/s
|
| 87 |
+
420/1177 ━━━━━━──────────── loss 5.0766 lr 9.05e-03 |g| 0.162 416.62K tok/s
|
| 88 |
+
430/1177 ━━━━━━━─────────── loss 5.0087 lr 8.93e-03 |g| 0.121 416.63K tok/s
|
| 89 |
+
440/1177 ━━━━━━━─────────── loss 5.0452 lr 8.82e-03 |g| 0.164 416.63K tok/s
|
| 90 |
+
450/1177 ━━━━━━━─────────── loss 5.0164 lr 8.70e-03 |g| 0.112 416.63K tok/s
|
| 91 |
+
460/1177 ━━━━━━━─────────── loss 4.9736 lr 8.57e-03 |g| 0.108 416.64K tok/s
|
| 92 |
+
470/1177 ━━━━━━━─────────── loss 4.9602 lr 8.45e-03 |g| 0.145 416.64K tok/s
|
| 93 |
+
480/1177 ━━━━━━━─────────── loss 4.9146 lr 8.32e-03 |g| 0.107 416.64K tok/s
|
| 94 |
+
490/1177 ━━━━━━━─────────── loss 4.8816 lr 8.19e-03 |g| 0.141 416.65K tok/s
|
| 95 |
+
500/1177 ━━━━━━━━────────── loss 4.7715 lr 8.06e-03 |g| 0.192 416.65K tok/s
|
| 96 |
+
510/1177 ━━━━━━━━────────── loss 4.7543 lr 7.93e-03 |g| 0.096 416.65K tok/s
|
| 97 |
+
520/1177 ━━━━━━━━────────── loss 4.8106 lr 7.80e-03 |g| 0.182 416.66K tok/s
|
| 98 |
+
530/1177 ━━━━━━━━────────── loss 4.6846 lr 7.66e-03 |g| 0.076 416.66K tok/s
|
| 99 |
+
540/1177 ━━━━━━━━────────── loss 4.6416 lr 7.52e-03 |g| 0.138 416.66K tok/s
|
| 100 |
+
550/1177 ━━━━━━━━────────── loss 4.6867 lr 7.38e-03 |g| 0.140 416.66K tok/s
|
| 101 |
+
560/1177 ━━━━━━━━━───────── loss 4.6403 lr 7.24e-03 |g| 0.124 416.67K tok/s
|
| 102 |
+
570/1177 ━━━━━━━━━───────── loss 4.6200 lr 7.10e-03 |g| 0.124 416.67K tok/s
|
| 103 |
+
580/1177 ━━━━━━━━━───────── loss 4.5755 lr 6.96e-03 |g| 0.108 416.67K tok/s
|
| 104 |
+
590/1177 ━━━━━━━━━───────── loss 4.5801 lr 6.82e-03 |g| 0.134 416.67K tok/s
|
| 105 |
+
600/1177 ━━━━━━━━━───────── loss 4.5741 lr 6.67e-03 |g| 0.113 416.67K tok/s
|
| 106 |
+
610/1177 ━━━━━━━━━───────── loss 4.4793 lr 6.53e-03 |g| 0.101 416.68K tok/s
|
| 107 |
+
620/1177 ━━━━━━━━━───────── loss 4.4664 lr 6.39e-03 |g| 0.092 416.68K tok/s
|
| 108 |
+
630/1177 ━━━━━━━━━━──────── loss 4.4489 lr 6.24e-03 |g| 0.091 416.68K tok/s
|
| 109 |
+
640/1177 ━━━━━━━━━━──────── loss 4.4691 lr 6.10e-03 |g| 0.124 416.68K tok/s
|
| 110 |
+
650/1177 ━━━━━━━━━━──────── loss 4.4399 lr 5.95e-03 |g| 0.112 416.68K tok/s
|
| 111 |
+
660/1177 ━━━━━━━━━━──────── loss 4.4126 lr 5.81e-03 |g| 0.090 416.68K tok/s
|
| 112 |
+
670/1177 ━━━━━━━━━━──────── loss 4.4205 lr 5.66e-03 |g| 0.128 416.68K tok/s
|
| 113 |
+
680/1177 ━━━━━━━━━━──────── loss 4.4501 lr 5.52e-03 |g| 0.116 416.68K tok/s
|
| 114 |
+
690/1177 ━━━━━━━━━━━─────── loss 4.3534 lr 5.37e-03 |g| 0.082 416.69K tok/s
|
| 115 |
+
700/1177 ━━━━━━━━━━━─────── loss 4.3827 lr 5.23e-03 |g| 0.125 416.69K tok/s
|
| 116 |
+
710/1177 ━━━━━━━━━━━─────── loss 4.3179 lr 5.08e-03 |g| 0.101 416.69K tok/s
|
| 117 |
+
720/1177 ━━━━━━━━━━━─────── loss 4.3328 lr 4.94e-03 |g| 0.104 416.69K tok/s
|
| 118 |
+
730/1177 ━━━━━━━━━━━─────── loss 4.3507 lr 4.80e-03 |g| 0.114 416.69K tok/s
|
| 119 |
+
740/1177 ━━━━━━━━━━━─────── loss 4.2704 lr 4.66e-03 |g| 0.088 416.69K tok/s
|
| 120 |
+
750/1177 ━━━━━━━━━━━─────── loss 4.2846 lr 4.52e-03 |g| 0.087 416.69K tok/s
|
| 121 |
+
760/1177 ━━━━━━━━━━━━────── loss 4.2126 lr 4.38e-03 |g| 0.102 416.70K tok/s
|
| 122 |
+
770/1177 ━━━━━━━━━━━━────── loss 4.2143 lr 4.25e-03 |g| 0.092 416.70K tok/s
|
| 123 |
+
780/1177 ━━━━━━━━━━━━────── loss 4.2455 lr 4.11e-03 |g| 0.094 416.70K tok/s
|
| 124 |
+
790/1177 ━━━━━━━━━━━━────── loss 4.2186 lr 3.98e-03 |g| 0.104 416.70K tok/s
|
| 125 |
+
800/1177 ━━━━━━━━━━━━────── loss 4.1947 lr 3.85e-03 |g| 0.082 416.70K tok/s
|
| 126 |
+
810/1177 ━━━━━━━━━━━━────── loss 4.1891 lr 3.72e-03 |g| 0.080 416.70K tok/s
|
| 127 |
+
820/1177 ━━━━━━━━━━━━━───── loss 4.1805 lr 3.59e-03 |g| 0.099 416.70K tok/s
|
| 128 |
+
830/1177 ━━━━━━━━━━━━━───── loss 4.1726 lr 3.46e-03 |g| 0.084 416.70K tok/s
|
| 129 |
+
840/1177 ━━━━━━━━━━━━━───── loss 4.1459 lr 3.34e-03 |g| 0.088 416.70K tok/s
|
| 130 |
+
850/1177 ━━━━━━━━━━━━━───── loss 4.1160 lr 3.22e-03 |g| 0.070 416.70K tok/s
|
| 131 |
+
860/1177 ━━━━━━━━━━━━━───── loss 4.1459 lr 3.10e-03 |g| 0.102 416.70K tok/s
|
| 132 |
+
870/1177 ━━━━━━━━━━━━━───── loss 4.1267 lr 2.98e-03 |g| 0.086 416.70K tok/s
|
| 133 |
+
880/1177 ━━━━━━━━━━━━━───── loss 4.1082 lr 2.87e-03 |g| 0.075 416.70K tok/s
|
| 134 |
+
890/1177 ━━━━━━━━━━━━━━──── loss 4.0423 lr 2.76e-03 |g| 0.084 416.71K tok/s
|
| 135 |
+
900/1177 ━━━━━━━━━━━━━━──── loss 4.1183 lr 2.65e-03 |g| 0.095 416.71K tok/s
|
| 136 |
+
910/1177 ━━━━━━━━━━━━━━──── loss 4.1142 lr 2.55e-03 |g| 0.070 416.71K tok/s
|
| 137 |
+
920/1177 ━━━━━━━━━━━━━━──── loss 4.0481 lr 2.44e-03 |g| 0.077 416.71K tok/s
|
| 138 |
+
930/1177 ━━━━━━━━━━━━━━──── loss 4.0537 lr 2.35e-03 |g| 0.080 416.71K tok/s
|
| 139 |
+
940/1177 ━━━━━━━━━━━━━━──── loss 4.1245 lr 2.25e-03 |g| 0.072 416.71K tok/s
|
| 140 |
+
950/1177 ━━━━━━━━━━━━━━━─── loss 3.9990 lr 2.16e-03 |g| 0.075 416.71K tok/s
|
| 141 |
+
960/1177 ━━━━━━━━━━━━━━━─── loss 4.0556 lr 2.07e-03 |g| 0.069 416.71K tok/s
|
| 142 |
+
970/1177 ━━━━━━━━━━━━━━━─── loss 4.0278 lr 1.98e-03 |g| 0.082 416.71K tok/s
|
| 143 |
+
980/1177 ━━━━━━━━━━━━━━━─── loss 4.0240 lr 1.90e-03 |g| 0.070 416.72K tok/s
|
| 144 |
+
990/1177 ━━━━━━━━━━━━━━━─── loss 3.9970 lr 1.82e-03 |g| 0.077 416.72K tok/s
|
| 145 |
+
1000/1177 ━━━━━━━━━━━━━━━─── loss 4.0145 lr 1.75e-03 |g| 0.078 416.72K tok/s
|
| 146 |
+
1010/1177 ━━━━━━━━━━━━━━━─── loss 4.0027 lr 1.68e-03 |g| 0.066 416.72K tok/s
|
| 147 |
+
1020/1177 ━━━━━━━━━━━━━━━━── loss 3.9859 lr 1.61e-03 |g| 0.074 416.72K tok/s
|
| 148 |
+
1030/1177 ━━━━━━━━━━━━━━━━── loss 3.9123 lr 1.55e-03 |g| 0.071 416.72K tok/s
|
| 149 |
+
1040/1177 ━━━━━━━━━━━━━━━━── loss 3.9462 lr 1.49e-03 |g| 0.068 416.72K tok/s
|
| 150 |
+
1050/1177 ━━━━━━━━━━━━━━━━── loss 3.9307 lr 1.43e-03 |g| 0.069 416.72K tok/s
|
| 151 |
+
1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9720 lr 1.38e-03 |g| 0.068 416.72K tok/s
|
| 152 |
+
1070/1177 ━━━━━━━━━━━━━━━━── loss 3.9895 lr 1.33e-03 |g| 0.064 416.72K tok/s
|
| 153 |
+
1080/1177 ━━━━━━━━━━━━━━━━━─ loss 4.0004 lr 1.29e-03 |g| 0.065 416.72K tok/s
|
| 154 |
+
1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9342 lr 1.25e-03 |g| 0.074 416.72K tok/s
|
| 155 |
+
1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9737 lr 1.22e-03 |g| 0.066 416.72K tok/s
|
| 156 |
+
1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9268 lr 1.18e-03 |g| 0.067 416.72K tok/s
|
| 157 |
+
1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9002 lr 1.16e-03 |g| 0.059 416.73K tok/s
|
| 158 |
+
1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9042 lr 1.14e-03 |g| 0.070 416.73K tok/s
|
| 159 |
+
1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9511 lr 1.12e-03 |g| 0.063 416.73K tok/s
|
| 160 |
+
1150/1177 ━━━━━━━━━━━━━━━━━━ loss 4.0302 lr 1.10e-03 |g| 0.067 416.73K tok/s
|
| 161 |
+
1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8920 lr 1.09e-03 |g| 0.063 416.73K tok/s
|
| 162 |
+
1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9374 lr 1.09e-03 |g| 0.074 416.73K tok/s
|
| 163 |
+
1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9455 lr 1.09e-03 |g| 0.066 416.73K tok/s
|
| 164 |
+
|
| 165 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 166 |
+
|
| 167 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 168 |
+
|
| 169 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 170 |
+
|
| 171 |
+
✓ synchronized training 1480.811s (compilation excluded)
|
| 172 |
+
validation loss 3.9276 in 3.232s
|
| 173 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/stdout.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
RIG_RESULT={"artifacts":{"diagnostics":"diagnostics.riglog","training_curve":"training.riglog","validation_curve":"validation.csv"},"checkpoint":null,"contract":{"dataset_id":"fineweb-8b-gpt2","model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"model_id":"reference-gpt-v3-family","sequence_length":8192,"tokenizer_id":"gpt2"},"evaluations":{"fineweb":{"canonical":true,"loss":3.9275612831115723,"perplexity":50.78298122059148,"scored_tokens":4194304,"seconds":3.2324380660429597}},"implementation":{"attention_backend":"tpu_flash","attention_tuning":{"key_digest":"4a03491fb0eb198a91ea86e29540b965f1dcced7c12e077dd02af3e5727e4f17","resolution_source":"heuristic","tiles":{"block_kv":512,"block_kv_compute":256,"block_kv_dkv":512,"block_kv_dkv_compute":256,"block_kv_dq":512,"block_kv_dq_compute":256,"block_q":512,"block_q_dkv":512,"block_q_dkv_compute":256,"block_q_dq":256},"tune_seconds":0.0},"configuration":{"overrides":{"study_batch_size":64,"tokens_per_parameter_micros":5000000},"path":"config.yaml","profile":"dev","resolved":{"evaluation":{"eval_batches":8,"val_every":0,"val_probe_batches":8},"kernels":{"attention_backend":"tpu_flash","loss_backend":"tiled","vocab_tile_size":2048},"logging":{"diagnostics_every":10,"log_every":10},"model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"optimizer":{"adam_epsilon":1e-08,"beta1":0.9,"beta2":0.95,"effective":{"adam_epsilon_horizon_multiplier":0.7177080587596594,"beta1":0.8058647700115604,"beta2":0.9029323850057801,"global_peak_learning_rate":0.0108853452384268,"weight_decay_horizon_multiplier":1.3933241905186304},"grad_clip":0.0,"learning_rate":0.0078125,"min_lr_ratio":0.1,"warmup_steps":118,"weight_decay":0.1},"parameterization":{"attention_scale":"inverse_head_dim","base_depth":12,"base_width":384,"batch_multiplier":4.0,"data_multiplier":2.0604194304342345,"depth_alpha":1.0,"depth_multiplier":1.0,"embeddings":"untied","init_std":0.02,"name":"complete_d_p","width_multiplier":1.6666666666666667},"training":{"batch_size":64,"dtype":"bfloat16","sampling":"shuffled_epochs","seq_len":8192,"steps":1177,"tokens_per_parameter":4.99841058366727,"train_tokens":617086976}},"schema_version":2,"sha256":"a4bad1be29b57d20ec7ae7b0d539f2e777d11f5539607655550b7afca185affe"},"loss_backend":"tiled","vocab_tile_size":2048},"metrics":{"achieved_tflops":571.4858927013744,"attention_tune_seconds":0.0,"base_learning_rate":0.0078125,"diagnostic_compile_seconds":92.16982561803889,"diagnostic_point_count":119,"diagnostics_every":10,"early_stopping_step":null,"estimated_total_flops":846262613091287040,"eval_compile_seconds":22.483402231009677,"expert_top_k":2,"experts":8,"final_validation_seconds":3.2324380660429597,"flop_accounting":{"by_site":{"dot_general":3116881674240,"pallas_call":1932735283200,"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":0.12988315743213055,"model_tier":"125m","parameter_count":123525760,"parameters":241628800,"schedule_steps":1177,"tokens_per_parameter":4.99841058366727,"tokens_per_second":416722.29860839923,"tokens_processed":617086976,"total_compile_seconds":170.32665001705755,"total_parameter_count":241628800,"train_compile_seconds":55.67342216800898,"train_loss":3.9454538822174072,"train_seconds":1480.8110294570215,"training_data_epochs":0.07811247541097503,"training_data_sharding":"rank_disjoint_shuffled_windows","training_sampling":"shuffled_epochs","training_steps":1177,"training_token_budget":617086976,"training_usable_tokens_per_epoch":7899979776,"validation_loss":3.9275612831115723,"validation_probe_count":0,"validation_probe_seconds":0.0,"validation_tokens":4194304},"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"}
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batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/training.riglog
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1225741edce46543096425eb06a83f627982119d2af6f66d69979a6eafafdb72
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size 671952
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-7-s1337/validation.csv
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
step,tokens_processed,kind,domain,validation_tokens,validation_loss,perplexity,validation_seconds,canonical
|
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1177,617086976,fineweb,fineweb,4194304,3.9275612831115723,50.78298122059148,3.2324380660429597,true
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/diagnostics.riglog
ADDED
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@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:fa8482aec59557eb7bd8fd25e22baeac24a22ca2d09291880c245d0ae56e9d11
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size 144508
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/metrics.json
ADDED
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@@ -0,0 +1,244 @@
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|
| 1 |
+
{
|
| 2 |
+
"artifacts": {
|
| 3 |
+
"diagnostics": "diagnostics.riglog",
|
| 4 |
+
"training_curve": "training.riglog",
|
| 5 |
+
"validation_curve": "validation.csv"
|
| 6 |
+
},
|
| 7 |
+
"checkpoint": null,
|
| 8 |
+
"contract": {
|
| 9 |
+
"dataset_id": "fineweb-8b-gpt2",
|
| 10 |
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"model": {
|
| 11 |
+
"d_model": 640,
|
| 12 |
+
"heads": 10,
|
| 13 |
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"layers": 12,
|
| 14 |
+
"mlp_activation": "gelu",
|
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batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/result.json
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@@ -0,0 +1,244 @@
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batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stderr.log
ADDED
|
@@ -0,0 +1,173 @@
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| 1 |
+
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)
|
| 2 |
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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)
|
| 3 |
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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)
|
| 4 |
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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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 64 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 4a03491fb0eb │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 1,177 steps │
|
| 32 |
+
│ train tokens 617.09M │
|
| 33 |
+
│ traced FLOPs 846262.61T │
|
| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
| 44 |
+
● Training train compiled in 57.76s, eval in 23.49s; periodic validation disabled
|
| 45 |
+
1/1177 ────────────────── loss 10.8878 lr 4.61e-05 |g| 2.551 338.65K tok/s
|
| 46 |
+
10/1177 ────────────────── loss 9.5319 lr 4.61e-04 |g| 2.042 403.87K tok/s
|
| 47 |
+
20/1177 ────────────────── loss 7.8546 lr 9.22e-04 |g| 1.157 410.45K tok/s
|
| 48 |
+
30/1177 ────────────────── loss 7.5947 lr 1.38e-03 |g| 0.555 412.73K tok/s
|
| 49 |
+
40/1177 ━───────────────── loss 7.6016 lr 1.84e-03 |g| 0.463 413.92K tok/s
|
| 50 |
+
50/1177 ━───────────────── loss 7.4234 lr 2.31e-03 |g| 0.640 414.62K tok/s
|
| 51 |
+
60/1177 ━───────────────── loss 7.3507 lr 2.77e-03 |g| 0.336 415.06K tok/s
|
| 52 |
+
70/1177 ━───────────────── loss 7.2994 lr 3.23e-03 |g| 0.414 415.37K tok/s
|
| 53 |
+
80/1177 ━───────────────── loss 7.2537 lr 3.69e-03 |g| 0.467 415.58K tok/s
|
| 54 |
+
90/1177 ━───────────────── loss 7.0824 lr 4.15e-03 |g| 0.327 415.73K tok/s
|
| 55 |
+
100/1177 ━━──────────────── loss 6.9305 lr 4.61e-03 |g| 0.472 415.84K tok/s
|
| 56 |
+
110/1177 ━━──────────────── loss 6.7770 lr 5.07e-03 |g| 0.510 415.93K tok/s
|
| 57 |
+
120/1177 ━━──────────────── loss 6.6925 lr 5.44e-03 |g| 0.457 416.00K tok/s
|
| 58 |
+
130/1177 ━━──────────────── loss 6.5740 lr 5.44e-03 |g| 0.396 416.06K tok/s
|
| 59 |
+
140/1177 ━━──────────────── loss 6.4429 lr 5.44e-03 |g| 0.458 416.11K tok/s
|
| 60 |
+
150/1177 ━━──────────────── loss 6.3317 lr 5.43e-03 |g| 0.308 416.15K tok/s
|
| 61 |
+
160/1177 ━━──────────────── loss 6.3037 lr 5.42e-03 |g| 0.576 416.19K tok/s
|
| 62 |
+
170/1177 ━━━─────────────── loss 6.2005 lr 5.41e-03 |g| 0.306 416.22K tok/s
|
| 63 |
+
180/1177 ━━━─────────────── loss 6.1879 lr 5.40e-03 |g| 0.554 416.25K tok/s
|
| 64 |
+
190/1177 ━━━─────────────── loss 6.0456 lr 5.39e-03 |g| 0.251 416.28K tok/s
|
| 65 |
+
200/1177 ━━━─────────────── loss 6.0151 lr 5.37e-03 |g| 0.291 416.30K tok/s
|
| 66 |
+
210/1177 ━━━─────────────── loss 5.9802 lr 5.35e-03 |g| 0.403 416.33K tok/s
|
| 67 |
+
220/1177 ━━━─────────────── loss 5.8574 lr 5.33e-03 |g| 0.496 416.35K tok/s
|
| 68 |
+
230/1177 ━━━━────────────── loss 5.7815 lr 5.31e-03 |g| 0.264 416.37K tok/s
|
| 69 |
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240/1177 ━━━━────────────── loss 5.7578 lr 5.28e-03 |g| 0.343 416.39K tok/s
|
| 70 |
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250/1177 ━━━━────────────── loss 5.7071 lr 5.26e-03 |g| 0.304 416.41K tok/s
|
| 71 |
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260/1177 ━━━━────────────── loss 5.6106 lr 5.23e-03 |g| 0.254 416.42K tok/s
|
| 72 |
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270/1177 ━━━━────────────── loss 5.5796 lr 5.20e-03 |g| 0.143 416.43K tok/s
|
| 73 |
+
280/1177 ━━━━────────────── loss 5.5326 lr 5.17e-03 |g| 0.289 416.45K tok/s
|
| 74 |
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290/1177 ━━━━────────────── loss 5.5373 lr 5.13e-03 |g| 0.151 416.46K tok/s
|
| 75 |
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300/1177 ━━━━━───────────── loss 5.3902 lr 5.09e-03 |g| 0.312 416.47K tok/s
|
| 76 |
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310/1177 ━━━━━───────────── loss 5.3979 lr 5.06e-03 |g| 0.240 416.48K tok/s
|
| 77 |
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320/1177 ━━━━━───────────── loss 5.3023 lr 5.02e-03 |g| 0.209 416.49K tok/s
|
| 78 |
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330/1177 ━━━━━───────────── loss 5.3853 lr 4.97e-03 |g| 0.245 416.50K tok/s
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| 79 |
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340/1177 ━━━━━───────────── loss 5.3544 lr 4.93e-03 |g| 0.230 416.50K tok/s
|
| 80 |
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350/1177 ━━━━━───────────── loss 5.2054 lr 4.89e-03 |g| 0.249 416.51K tok/s
|
| 81 |
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360/1177 ━━━━━━──────────── loss 5.2044 lr 4.84e-03 |g| 0.221 416.52K tok/s
|
| 82 |
+
370/1177 ━━━━━━──────────── loss 5.1283 lr 4.79e-03 |g| 0.146 416.53K tok/s
|
| 83 |
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380/1177 ━━━━━━──────────── loss 5.1408 lr 4.74e-03 |g| 0.218 416.53K tok/s
|
| 84 |
+
390/1177 ━━━━━━──────────── loss 5.1229 lr 4.69e-03 |g| 0.141 416.54K tok/s
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| 85 |
+
400/1177 ━━━━━━──────────── loss 5.0512 lr 4.63e-03 |g| 0.162 416.55K tok/s
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| 86 |
+
410/1177 ━━━━━━──────────── loss 5.0586 lr 4.58e-03 |g| 0.169 416.55K tok/s
|
| 87 |
+
420/1177 ━━━━━━──────────── loss 4.9881 lr 4.52e-03 |g| 0.222 416.56K tok/s
|
| 88 |
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430/1177 ━━━━━━━─────────── loss 4.9281 lr 4.47e-03 |g| 0.159 416.57K tok/s
|
| 89 |
+
440/1177 ━━━━━━━─────────── loss 4.9485 lr 4.41e-03 |g| 0.160 416.57K tok/s
|
| 90 |
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450/1177 ━━━━━━━─────────── loss 4.9409 lr 4.35e-03 |g| 0.218 416.58K tok/s
|
| 91 |
+
460/1177 ━━━━━━━─────────── loss 4.9136 lr 4.29e-03 |g| 0.157 416.58K tok/s
|
| 92 |
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470/1177 ━━━━━━━─────────── loss 4.9031 lr 4.22e-03 |g| 0.212 416.59K tok/s
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| 93 |
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480/1177 ━━━━━━━─────────── loss 4.8747 lr 4.16e-03 |g| 0.153 416.59K tok/s
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| 94 |
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490/1177 ━━━━━━━─────────── loss 4.8383 lr 4.10e-03 |g| 0.155 416.60K tok/s
|
| 95 |
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500/1177 ━━━━━━━━────────── loss 4.7242 lr 4.03e-03 |g| 0.154 416.60K tok/s
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| 96 |
+
510/1177 ━━━━━━━━────────── loss 4.7400 lr 3.97e-03 |g| 0.137 416.60K tok/s
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| 97 |
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520/1177 ━━━━━━━━────────── loss 4.7768 lr 3.90e-03 |g| 0.190 416.61K tok/s
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| 98 |
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530/1177 ━━━━━━━━────────── loss 4.6792 lr 3.83e-03 |g| 0.168 416.61K tok/s
|
| 99 |
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540/1177 ━━━━━━━━────────── loss 4.6247 lr 3.76e-03 |g| 0.143 416.61K tok/s
|
| 100 |
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550/1177 ━━━━━━━━────────── loss 4.6894 lr 3.69e-03 |g| 0.188 416.62K tok/s
|
| 101 |
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560/1177 ━━━━━━━━━───────── loss 4.6311 lr 3.62e-03 |g| 0.119 416.62K tok/s
|
| 102 |
+
570/1177 ━━━━━━━━━───────── loss 4.6175 lr 3.55e-03 |g| 0.135 416.62K tok/s
|
| 103 |
+
580/1177 ━━━━━━━━━───────── loss 4.5776 lr 3.48e-03 |g| 0.154 416.62K tok/s
|
| 104 |
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590/1177 ━━━━━━━━━───────── loss 4.5541 lr 3.41e-03 |g| 0.140 416.63K tok/s
|
| 105 |
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600/1177 ━━━━━━━━━───────── loss 4.5776 lr 3.34e-03 |g| 0.173 416.63K tok/s
|
| 106 |
+
610/1177 ━━━━━━━━━───────── loss 4.4775 lr 3.27e-03 |g| 0.160 416.63K tok/s
|
| 107 |
+
620/1177 ━━━━━━━━━───────── loss 4.4583 lr 3.19e-03 |g| 0.129 416.64K tok/s
|
| 108 |
+
630/1177 ━━━━━━━━━━──────── loss 4.4361 lr 3.12e-03 |g| 0.149 416.64K tok/s
|
| 109 |
+
640/1177 ━━━━━━━━━━──────── loss 4.4582 lr 3.05e-03 |g| 0.131 416.64K tok/s
|
| 110 |
+
650/1177 ━━━━━━━━━━──────── loss 4.4220 lr 2.98e-03 |g| 0.142 416.64K tok/s
|
| 111 |
+
660/1177 ━━━━━━━━━━──────── loss 4.4119 lr 2.90e-03 |g| 0.149 416.65K tok/s
|
| 112 |
+
670/1177 ━━━━━━━━━━──────── loss 4.4001 lr 2.83e-03 |g| 0.136 416.65K tok/s
|
| 113 |
+
680/1177 ━━━━━━━━━━──────── loss 4.4407 lr 2.76e-03 |g| 0.182 416.65K tok/s
|
| 114 |
+
690/1177 ━━━━━━━━━━━─────── loss 4.3512 lr 2.69e-03 |g| 0.121 416.65K tok/s
|
| 115 |
+
700/1177 ━━━━━━━━━━━─────── loss 4.3676 lr 2.61e-03 |g| 0.133 416.65K tok/s
|
| 116 |
+
710/1177 ━━━━━━━━━━━─────── loss 4.3051 lr 2.54e-03 |g| 0.150 416.66K tok/s
|
| 117 |
+
720/1177 ━━━━━━━━━━━─────── loss 4.3244 lr 2.47e-03 |g| 0.142 416.66K tok/s
|
| 118 |
+
730/1177 ━━━━━━━━━━━─────── loss 4.3428 lr 2.40e-03 |g| 0.165 416.66K tok/s
|
| 119 |
+
740/1177 ━━━━━━━━━━━─────── loss 4.2741 lr 2.33e-03 |g| 0.154 416.66K tok/s
|
| 120 |
+
750/1177 ━━━━━━━━━━━─────── loss 4.2800 lr 2.26e-03 |g| 0.116 416.66K tok/s
|
| 121 |
+
760/1177 ━━━━━━━━━━━━────── loss 4.2107 lr 2.19e-03 |g| 0.133 416.66K tok/s
|
| 122 |
+
770/1177 ━━━━━━━━━━━━────── loss 4.2130 lr 2.12e-03 |g| 0.136 416.67K tok/s
|
| 123 |
+
780/1177 ━━━━━━━━━━━━────── loss 4.2418 lr 2.06e-03 |g| 0.119 416.67K tok/s
|
| 124 |
+
790/1177 ━━━━━━━━━━━━────── loss 4.2156 lr 1.99e-03 |g| 0.125 416.67K tok/s
|
| 125 |
+
800/1177 ━━━━━━━━━━━━────── loss 4.1997 lr 1.92e-03 |g| 0.167 416.67K tok/s
|
| 126 |
+
810/1177 ━━━━━━━━━━━━────── loss 4.1953 lr 1.86e-03 |g| 0.125 416.67K tok/s
|
| 127 |
+
820/1177 ━━━━━━━━━━━━━───── loss 4.1808 lr 1.79e-03 |g| 0.149 416.67K tok/s
|
| 128 |
+
830/1177 ━━━━━━━━━━━━━───── loss 4.1743 lr 1.73e-03 |g| 0.101 416.68K tok/s
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| 129 |
+
840/1177 ━━━━━━━━━━━━━───── loss 4.1483 lr 1.67e-03 |g| 0.133 416.68K tok/s
|
| 130 |
+
850/1177 ━━━━━━━━━━━━━───── loss 4.1266 lr 1.61e-03 |g| 0.121 416.68K tok/s
|
| 131 |
+
860/1177 ━━━━━━━━━━━━━───── loss 4.1494 lr 1.55e-03 |g| 0.120 416.68K tok/s
|
| 132 |
+
870/1177 ━━━━━━━━━━━━━───── loss 4.1321 lr 1.49e-03 |g| 0.116 416.68K tok/s
|
| 133 |
+
880/1177 ━━━━━━━━━━━━━───── loss 4.1166 lr 1.43e-03 |g| 0.119 416.68K tok/s
|
| 134 |
+
890/1177 ━━━━━━━━━━━━━━──── loss 4.0469 lr 1.38e-03 |g| 0.119 416.69K tok/s
|
| 135 |
+
900/1177 ━━━━━━━━━━━━━━──── loss 4.1242 lr 1.33e-03 |g| 0.120 416.69K tok/s
|
| 136 |
+
910/1177 ━━━━━━━━━━━━━━──── loss 4.1245 lr 1.27e-03 |g| 0.100 416.69K tok/s
|
| 137 |
+
920/1177 ━━━━━━━━━━━━━━──── loss 4.0618 lr 1.22e-03 |g| 0.121 416.69K tok/s
|
| 138 |
+
930/1177 ━━━━━━━━━━━━━━──── loss 4.0673 lr 1.17e-03 |g| 0.105 416.69K tok/s
|
| 139 |
+
940/1177 ━━━━━━━━━━━━━━──── loss 4.1380 lr 1.13e-03 |g| 0.110 416.69K tok/s
|
| 140 |
+
950/1177 ━━━━━━━━━━━━━━━─── loss 4.0162 lr 1.08e-03 |g| 0.114 416.69K tok/s
|
| 141 |
+
960/1177 ━━━━━━━━━━━━━━━─── loss 4.0707 lr 1.03e-03 |g| 0.096 416.69K tok/s
|
| 142 |
+
970/1177 ━━━━━━━━━━━━━━━─── loss 4.0436 lr 9.92e-04 |g| 0.103 416.70K tok/s
|
| 143 |
+
980/1177 ━━━━━━━━━━━━━━━─── loss 4.0408 lr 9.51e-04 |g| 0.096 416.70K tok/s
|
| 144 |
+
990/1177 ━━━━━━━━━━━━━━━─── loss 4.0121 lr 9.12e-04 |g| 0.097 416.70K tok/s
|
| 145 |
+
1000/1177 ━━━━━━━━━━━━━━━─── loss 4.0351 lr 8.74e-04 |g| 0.108 416.70K tok/s
|
| 146 |
+
1010/1177 ━━━━━━━━━━━━━━━─── loss 4.0207 lr 8.39e-04 |g| 0.102 416.70K tok/s
|
| 147 |
+
1020/1177 ━━━━━━━━━━━━━━━━── loss 4.0060 lr 8.05e-04 |g| 0.091 416.70K tok/s
|
| 148 |
+
1030/1177 ━━━━━━━━━━━━━━━━── loss 3.9314 lr 7.73e-04 |g| 0.105 416.70K tok/s
|
| 149 |
+
1040/1177 ━━━━━━━━━━━━━━━━── loss 3.9681 lr 7.44e-04 |g| 0.101 416.70K tok/s
|
| 150 |
+
1050/1177 ━━━━━━━━━━━━━━━━── loss 3.9539 lr 7.16e-04 |g| 0.097 416.70K tok/s
|
| 151 |
+
1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9928 lr 6.90e-04 |g| 0.095 416.70K tok/s
|
| 152 |
+
1070/1177 ━━━━━━━━━━━━━━━━── loss 4.0104 lr 6.67e-04 |g| 0.094 416.70K tok/s
|
| 153 |
+
1080/1177 ━━━━━━━━━━━━━━━━━─ loss 4.0216 lr 6.45e-04 |g| 0.093 416.70K tok/s
|
| 154 |
+
1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9554 lr 6.25e-04 |g| 0.099 416.70K tok/s
|
| 155 |
+
1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9979 lr 6.08e-04 |g| 0.099 416.71K tok/s
|
| 156 |
+
1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9525 lr 5.92e-04 |g| 0.105 416.71K tok/s
|
| 157 |
+
1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9253 lr 5.79e-04 |g| 0.093 416.71K tok/s
|
| 158 |
+
1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9266 lr 5.68e-04 |g| 0.100 416.71K tok/s
|
| 159 |
+
1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9747 lr 5.59e-04 |g| 0.096 416.71K tok/s
|
| 160 |
+
1150/1177 ━━━━━━━━━━━━━━━━━━ loss 4.0545 lr 5.52e-04 |g| 0.115 416.71K tok/s
|
| 161 |
+
1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9172 lr 5.47e-04 |g| 0.097 416.71K tok/s
|
| 162 |
+
1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9637 lr 5.45e-04 |g| 0.105 416.71K tok/s
|
| 163 |
+
1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9722 lr 5.44e-04 |g| 0.111 416.71K tok/s
|
| 164 |
+
|
| 165 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 166 |
+
|
| 167 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 168 |
+
|
| 169 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 170 |
+
|
| 171 |
+
✓ synchronized training 1480.866s (compilation excluded)
|
| 172 |
+
validation loss 3.9533 in 3.261s
|
| 173 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-8-s1337/stdout.log
ADDED
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| 1 |
+
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| 194 |
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"controller_process_index": 1,
|
| 195 |
+
"device_count": 16,
|
| 196 |
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"device_ids": [
|
| 197 |
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0,
|
| 198 |
+
1,
|
| 199 |
+
2,
|
| 200 |
+
3,
|
| 201 |
+
4,
|
| 202 |
+
5,
|
| 203 |
+
6,
|
| 204 |
+
7,
|
| 205 |
+
8,
|
| 206 |
+
9,
|
| 207 |
+
10,
|
| 208 |
+
11,
|
| 209 |
+
12,
|
| 210 |
+
13,
|
| 211 |
+
14,
|
| 212 |
+
15
|
| 213 |
+
],
|
| 214 |
+
"device_kinds": [
|
| 215 |
+
"TPU v4"
|
| 216 |
+
],
|
| 217 |
+
"jax_version": "0.11.0",
|
| 218 |
+
"jaxlib_version": "0.11.0",
|
| 219 |
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"libtpu_version": "0.0.44.1",
|
| 220 |
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"local_device_count": 4,
|
| 221 |
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"platform": "tpu",
|
| 222 |
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"process_count": 4,
|
| 223 |
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"process_indices": [
|
| 224 |
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0,
|
| 225 |
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0,
|
| 226 |
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0,
|
| 227 |
+
0,
|
| 228 |
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1,
|
| 229 |
+
1,
|
| 230 |
+
1,
|
| 231 |
+
1,
|
| 232 |
+
2,
|
| 233 |
+
2,
|
| 234 |
+
2,
|
| 235 |
+
2,
|
| 236 |
+
3,
|
| 237 |
+
3,
|
| 238 |
+
3,
|
| 239 |
+
3
|
| 240 |
+
],
|
| 241 |
+
"python_version": "3.12.13"
|
| 242 |
+
},
|
| 243 |
+
"track": "open"
|
| 244 |
+
}
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stderr.log
ADDED
|
@@ -0,0 +1,173 @@
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| 1 |
+
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)
|
| 2 |
+
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)
|
| 3 |
+
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)
|
| 4 |
+
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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:a4bad1be29b5 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 125m · L12 D640 H10 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 241.63M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1.667 · mL=1 · mD=2.06 │
|
| 21 |
+
│ global batch 64 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 4a03491fb0eb │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 1,177 steps │
|
| 32 |
+
│ train tokens 617.09M │
|
| 33 |
+
│ traced FLOPs 846262.61T │
|
| 34 |
+
│ FLOP breakdown dot_general 3,116,881,674,240 (27.7%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
| 44 |
+
● Training train compiled in 64.97s, eval in 23.03s; periodic validation disabled
|
| 45 |
+
1/1177 ────────────────── loss 10.8878 lr 2.31e-05 |g| 2.551 383.09K tok/s
|
| 46 |
+
10/1177 ────────────────── loss 9.9191 lr 2.31e-04 |g| 2.061 408.12K tok/s
|
| 47 |
+
20/1177 ────────────────── loss 8.6661 lr 4.61e-04 |g| 1.946 412.53K tok/s
|
| 48 |
+
30/1177 ────────────────── loss 7.6044 lr 6.92e-04 |g| 0.715 414.02K tok/s
|
| 49 |
+
40/1177 ━───────────────── loss 7.4234 lr 9.22e-04 |g| 0.464 414.77K tok/s
|
| 50 |
+
50/1177 ━───────────────── loss 7.1989 lr 1.15e-03 |g| 0.634 415.20K tok/s
|
| 51 |
+
60/1177 ━───────────────── loss 7.0122 lr 1.38e-03 |g| 1.681 415.49K tok/s
|
| 52 |
+
70/1177 ━───────────────── loss 6.8700 lr 1.61e-03 |g| 1.044 415.68K tok/s
|
| 53 |
+
80/1177 ━───────────────── loss 6.6715 lr 1.84e-03 |g| 0.338 415.81K tok/s
|
| 54 |
+
90/1177 ━───────────────── loss 6.7620 lr 2.08e-03 |g| 0.909 415.92K tok/s
|
| 55 |
+
100/1177 ━━──────────────── loss 6.5768 lr 2.31e-03 |g| 0.522 416.02K tok/s
|
| 56 |
+
110/1177 ━━──────────────── loss 6.4230 lr 2.54e-03 |g| 0.568 416.09K tok/s
|
| 57 |
+
120/1177 ━━──────────────── loss 6.4201 lr 2.72e-03 |g| 0.771 416.15K tok/s
|
| 58 |
+
130/1177 ━━──────────────── loss 6.3489 lr 2.72e-03 |g| 0.551 416.20K tok/s
|
| 59 |
+
140/1177 ━━──────────────── loss 6.1487 lr 2.72e-03 |g| 0.255 416.24K tok/s
|
| 60 |
+
150/1177 ━━──────────────── loss 6.0479 lr 2.72e-03 |g| 0.503 416.28K tok/s
|
| 61 |
+
160/1177 ━━──────────────── loss 6.0287 lr 2.71e-03 |g| 0.532 416.31K tok/s
|
| 62 |
+
170/1177 ━━━─────────────── loss 5.8952 lr 2.71e-03 |g| 0.261 416.34K tok/s
|
| 63 |
+
180/1177 ━━━─────────────── loss 5.8274 lr 2.70e-03 |g| 0.373 416.37K tok/s
|
| 64 |
+
190/1177 ━━━─────────────── loss 5.7668 lr 2.69e-03 |g| 0.329 416.39K tok/s
|
| 65 |
+
200/1177 ━━━─────────────── loss 5.7169 lr 2.69e-03 |g| 0.239 416.41K tok/s
|
| 66 |
+
210/1177 ━━━─────────────── loss 5.6595 lr 2.68e-03 |g| 0.450 416.42K tok/s
|
| 67 |
+
220/1177 ━━━─────────────── loss 5.5675 lr 2.67e-03 |g| 0.271 416.44K tok/s
|
| 68 |
+
230/1177 ━━━━────────────── loss 5.5074 lr 2.65e-03 |g| 0.336 416.46K tok/s
|
| 69 |
+
240/1177 ━━━━────────────── loss 5.4572 lr 2.64e-03 |g| 0.407 416.47K tok/s
|
| 70 |
+
250/1177 ━━━━────────────── loss 5.3784 lr 2.63e-03 |g| 0.376 416.49K tok/s
|
| 71 |
+
260/1177 ━━━━────────────── loss 5.3231 lr 2.61e-03 |g| 0.313 416.50K tok/s
|
| 72 |
+
270/1177 ━━━━────────────── loss 5.3097 lr 2.60e-03 |g| 0.387 416.51K tok/s
|
| 73 |
+
280/1177 ━━━━────────────── loss 5.2161 lr 2.58e-03 |g| 0.316 416.52K tok/s
|
| 74 |
+
290/1177 ━━━━────────────── loss 5.2651 lr 2.57e-03 |g| 0.285 416.53K tok/s
|
| 75 |
+
300/1177 ━━━━━───────────── loss 5.1055 lr 2.55e-03 |g| 0.262 416.54K tok/s
|
| 76 |
+
310/1177 ━━━━━───────────── loss 5.0901 lr 2.53e-03 |g| 0.222 416.55K tok/s
|
| 77 |
+
320/1177 ━━━━━───────────── loss 5.0117 lr 2.51e-03 |g| 0.221 416.55K tok/s
|
| 78 |
+
330/1177 ━━━━━───────────── loss 5.1402 lr 2.49e-03 |g| 0.393 416.56K tok/s
|
| 79 |
+
340/1177 ━━━━━───────────── loss 5.0812 lr 2.47e-03 |g| 0.307 416.57K tok/s
|
| 80 |
+
350/1177 ━━━━━───────────── loss 4.9324 lr 2.44e-03 |g| 0.317 416.58K tok/s
|
| 81 |
+
360/1177 ━━━━━━──────────── loss 4.9604 lr 2.42e-03 |g| 0.351 416.58K tok/s
|
| 82 |
+
370/1177 ━━━━━━──────────── loss 4.8931 lr 2.39e-03 |g| 0.257 416.59K tok/s
|
| 83 |
+
380/1177 ━━━━━━──────────── loss 4.9143 lr 2.37e-03 |g| 0.380 416.59K tok/s
|
| 84 |
+
390/1177 ━━━━━━──────────── loss 4.9102 lr 2.34e-03 |g| 0.402 416.60K tok/s
|
| 85 |
+
400/1177 ━━━━━━──────────── loss 4.8115 lr 2.32e-03 |g| 0.244 416.60K tok/s
|
| 86 |
+
410/1177 ━━━━━━──────────── loss 4.8285 lr 2.29e-03 |g| 0.227 416.61K tok/s
|
| 87 |
+
420/1177 ━━━━━━──────────── loss 4.7587 lr 2.26e-03 |g| 0.253 416.61K tok/s
|
| 88 |
+
430/1177 ━━━━━━━─────────── loss 4.7274 lr 2.23e-03 |g| 0.353 416.62K tok/s
|
| 89 |
+
440/1177 ━━━━━━━─────────── loss 4.7315 lr 2.20e-03 |g| 0.245 416.62K tok/s
|
| 90 |
+
450/1177 ━━━━━━━─────────── loss 4.7361 lr 2.17e-03 |g| 0.289 416.63K tok/s
|
| 91 |
+
460/1177 ━━━━━━━─────────── loss 4.7015 lr 2.14e-03 |g| 0.226 416.63K tok/s
|
| 92 |
+
470/1177 ━━━━━━━─────────── loss 4.6907 lr 2.11e-03 |g| 0.282 416.64K tok/s
|
| 93 |
+
480/1177 ━━━━━━━─────────── loss 4.6704 lr 2.08e-03 |g| 0.204 416.64K tok/s
|
| 94 |
+
490/1177 ━━━━━━━─────────── loss 4.6409 lr 2.05e-03 |g| 0.260 416.64K tok/s
|
| 95 |
+
500/1177 ━━━━━━━━────────── loss 4.5364 lr 2.02e-03 |g| 0.243 416.64K tok/s
|
| 96 |
+
510/1177 ━━━━━━━━────────── loss 4.5566 lr 1.98e-03 |g| 0.228 416.65K tok/s
|
| 97 |
+
520/1177 ━━━━━━━━────────── loss 4.5966 lr 1.95e-03 |g| 0.240 416.65K tok/s
|
| 98 |
+
530/1177 ━━━━━━━━────────── loss 4.4976 lr 1.92e-03 |g| 0.170 416.65K tok/s
|
| 99 |
+
540/1177 ━━━━━━━━────────── loss 4.4752 lr 1.88e-03 |g| 0.234 416.65K tok/s
|
| 100 |
+
550/1177 ━━━━━━━━────────── loss 4.5181 lr 1.85e-03 |g| 0.276 416.66K tok/s
|
| 101 |
+
560/1177 ━━━━━━━━━───────── loss 4.4918 lr 1.81e-03 |g| 0.244 416.66K tok/s
|
| 102 |
+
570/1177 ━━━━━━━━━───────── loss 4.4761 lr 1.78e-03 |g| 0.196 416.66K tok/s
|
| 103 |
+
580/1177 ━━━━━━━━━───────── loss 4.4696 lr 1.74e-03 |g| 0.335 416.67K tok/s
|
| 104 |
+
590/1177 ━━━━━━━━━───────── loss 4.4265 lr 1.70e-03 |g| 0.206 416.67K tok/s
|
| 105 |
+
600/1177 ━━━━━━━━━───────── loss 4.4452 lr 1.67e-03 |g| 0.202 416.67K tok/s
|
| 106 |
+
610/1177 ━━━━━━━━━───────── loss 4.3528 lr 1.63e-03 |g| 0.260 416.67K tok/s
|
| 107 |
+
620/1177 ━━━━━━━━━───────── loss 4.3322 lr 1.60e-03 |g| 0.193 416.67K tok/s
|
| 108 |
+
630/1177 ━━━━━━━━━━──────── loss 4.3086 lr 1.56e-03 |g| 0.185 416.67K tok/s
|
| 109 |
+
640/1177 ━━━━━━━━━━──────── loss 4.3435 lr 1.52e-03 |g| 0.217 416.68K tok/s
|
| 110 |
+
650/1177 ━━━━━━━━━━──────── loss 4.3115 lr 1.49e-03 |g| 0.256 416.68K tok/s
|
| 111 |
+
660/1177 ━━━━━━━━━━──────── loss 4.2920 lr 1.45e-03 |g| 0.246 416.68K tok/s
|
| 112 |
+
670/1177 ━━━━━━━━━━──────── loss 4.2754 lr 1.42e-03 |g| 0.166 416.68K tok/s
|
| 113 |
+
680/1177 ━━━━━━━━━━──────── loss 4.3162 lr 1.38e-03 |g| 0.187 416.68K tok/s
|
| 114 |
+
690/1177 ━━━━━━━━━━━─────── loss 4.2402 lr 1.34e-03 |g| 0.172 416.68K tok/s
|
| 115 |
+
700/1177 ━━━━━━━━━━━─────── loss 4.2576 lr 1.31e-03 |g| 0.196 416.68K tok/s
|
| 116 |
+
710/1177 ━━━━━━━━━━━─────── loss 4.1906 lr 1.27e-03 |g| 0.188 416.69K tok/s
|
| 117 |
+
720/1177 ━━━━━━━━━━━─────── loss 4.2125 lr 1.24e-03 |g| 0.173 416.69K tok/s
|
| 118 |
+
730/1177 ━━━━━━━━━━━─────── loss 4.2375 lr 1.20e-03 |g| 0.191 416.69K tok/s
|
| 119 |
+
740/1177 ━━━━━━━━━━━─────── loss 4.1555 lr 1.16e-03 |g| 0.184 416.69K tok/s
|
| 120 |
+
750/1177 ━━━━━━━━━━━─────── loss 4.1730 lr 1.13e-03 |g| 0.166 416.69K tok/s
|
| 121 |
+
760/1177 ━━━━━━━━━━━━────── loss 4.1054 lr 1.10e-03 |g| 0.204 416.69K tok/s
|
| 122 |
+
770/1177 ━━━━━━━━━━━━────── loss 4.1084 lr 1.06e-03 |g| 0.196 416.69K tok/s
|
| 123 |
+
780/1177 ━━━━━━━━━━━━────── loss 4.1384 lr 1.03e-03 |g| 0.176 416.70K tok/s
|
| 124 |
+
790/1177 ━━━━━━━━━━━━────── loss 4.1143 lr 9.94e-04 |g| 0.180 416.70K tok/s
|
| 125 |
+
800/1177 ━━━━━━━━━━━━────── loss 4.0893 lr 9.61e-04 |g| 0.150 416.70K tok/s
|
| 126 |
+
810/1177 ━━━━━━━━━━━━────── loss 4.0917 lr 9.29e-04 |g| 0.183 416.70K tok/s
|
| 127 |
+
820/1177 ━━━━━━━━━━━━━───── loss 4.0787 lr 8.97e-04 |g| 0.174 416.70K tok/s
|
| 128 |
+
830/1177 ━━━━━━━━━━━━━───── loss 4.0812 lr 8.66e-04 |g| 0.160 416.70K tok/s
|
| 129 |
+
840/1177 ━━━━━━━━━━━━━───── loss 4.0497 lr 8.35e-04 |g| 0.170 416.70K tok/s
|
| 130 |
+
850/1177 ━━━━━━━━━━━━━───── loss 4.0274 lr 8.05e-04 |g| 0.174 416.70K tok/s
|
| 131 |
+
860/1177 ━━━━━━━━━━━━━───── loss 4.0527 lr 7.75e-04 |g| 0.149 416.71K tok/s
|
| 132 |
+
870/1177 ━━━━━━━━━━━━━───── loss 4.0392 lr 7.46e-04 |g| 0.166 416.71K tok/s
|
| 133 |
+
880/1177 ━━━━━━━━━━━━━───── loss 4.0238 lr 7.17e-04 |g| 0.152 416.71K tok/s
|
| 134 |
+
890/1177 ━━━━━━━━━━━━━━──── loss 3.9576 lr 6.90e-04 |g| 0.181 416.71K tok/s
|
| 135 |
+
900/1177 ━━━━━━━━━━━━━━──── loss 4.0324 lr 6.63e-04 |g| 0.154 416.71K tok/s
|
| 136 |
+
910/1177 ━━━━━━━━━━━━━━──── loss 4.0361 lr 6.37e-04 |g| 0.150 416.71K tok/s
|
| 137 |
+
920/1177 ━━━━━━━━━━━━━━──── loss 3.9714 lr 6.11e-04 |g| 0.132 416.71K tok/s
|
| 138 |
+
930/1177 ━━━━━━━━━━━━━━──── loss 3.9788 lr 5.86e-04 |g| 0.148 416.71K tok/s
|
| 139 |
+
940/1177 ━━━━━━━━━━━━━━──── loss 4.0510 lr 5.63e-04 |g| 0.143 416.71K tok/s
|
| 140 |
+
950/1177 ━━━━━━━━━━━━━━━─── loss 3.9274 lr 5.39e-04 |g| 0.159 416.71K tok/s
|
| 141 |
+
960/1177 ━━━━━━━━━━━━━━━─── loss 3.9896 lr 5.17e-04 |g| 0.145 416.72K tok/s
|
| 142 |
+
970/1177 ━━━━━━━━━━━━━━━─── loss 3.9605 lr 4.96e-04 |g| 0.141 416.72K tok/s
|
| 143 |
+
980/1177 ━━━━━━━━━━━━━━━─── loss 3.9602 lr 4.75e-04 |g| 0.147 416.72K tok/s
|
| 144 |
+
990/1177 ━━━━━━━━━━━━━━━─── loss 3.9284 lr 4.56e-04 |g| 0.136 416.72K tok/s
|
| 145 |
+
1000/1177 ━━━━━━━━━━━━━━━─── loss 3.9549 lr 4.37e-04 |g| 0.167 416.72K tok/s
|
| 146 |
+
1010/1177 ━━━━━━━━━━━━━━━─── loss 3.9407 lr 4.19e-04 |g| 0.139 416.72K tok/s
|
| 147 |
+
1020/1177 ━━━━━━━━━━━━━━━━── loss 3.9304 lr 4.03e-04 |g| 0.138 416.72K tok/s
|
| 148 |
+
1030/1177 ━━━━━━━━━━━━━━━━── loss 3.8554 lr 3.87e-04 |g| 0.150 416.72K tok/s
|
| 149 |
+
1040/1177 ━━━━━━━━━━━━━━━━── loss 3.8912 lr 3.72e-04 |g| 0.137 416.72K tok/s
|
| 150 |
+
1050/1177 ━━━━━━━━━━━━━━━━── loss 3.8740 lr 3.58e-04 |g| 0.137 416.72K tok/s
|
| 151 |
+
1060/1177 ━━━━━━━━━━━━━━━━── loss 3.9167 lr 3.45e-04 |g| 0.133 416.72K tok/s
|
| 152 |
+
1070/1177 ━━━━━━━━━━━━━━━━── loss 3.9334 lr 3.33e-04 |g| 0.131 416.72K tok/s
|
| 153 |
+
1080/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9488 lr 3.22e-04 |g| 0.134 416.72K tok/s
|
| 154 |
+
1090/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8832 lr 3.13e-04 |g| 0.137 416.72K tok/s
|
| 155 |
+
1100/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9231 lr 3.04e-04 |g| 0.128 416.73K tok/s
|
| 156 |
+
1110/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8785 lr 2.96e-04 |g| 0.136 416.73K tok/s
|
| 157 |
+
1120/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8529 lr 2.90e-04 |g| 0.133 416.73K tok/s
|
| 158 |
+
1130/1177 ━━━━━━━━━━━━━━━━━─ loss 3.8596 lr 2.84e-04 |g| 0.139 416.73K tok/s
|
| 159 |
+
1140/1177 ━━━━━━━━━━━━━━━━━─ loss 3.9028 lr 2.80e-04 |g| 0.131 416.73K tok/s
|
| 160 |
+
1150/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9847 lr 2.76e-04 |g| 0.153 416.73K tok/s
|
| 161 |
+
1160/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8442 lr 2.74e-04 |g| 0.134 416.73K tok/s
|
| 162 |
+
1170/1177 ━━━━━━━━━━━━━━━━━━ loss 3.8942 lr 2.72e-04 |g| 0.136 416.73K tok/s
|
| 163 |
+
1177/1177 ━━━━━━━━━━━━━━━━━━ loss 3.9041 lr 2.72e-04 |g| 0.142 416.73K tok/s
|
| 164 |
+
|
| 165 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 166 |
+
|
| 167 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 168 |
+
|
| 169 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 170 |
+
|
| 171 |
+
✓ synchronized training 1480.811s (compilation excluded)
|
| 172 |
+
validation loss 3.8838 in 3.277s
|
| 173 |
+
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/stdout.log
ADDED
|
@@ -0,0 +1 @@
|
|
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|
|
|
|
| 1 |
+
RIG_RESULT={"artifacts":{"diagnostics":"diagnostics.riglog","training_curve":"training.riglog","validation_curve":"validation.csv"},"checkpoint":null,"contract":{"dataset_id":"fineweb-8b-gpt2","model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"model_id":"reference-gpt-v3-family","sequence_length":8192,"tokenizer_id":"gpt2"},"evaluations":{"fineweb":{"canonical":true,"loss":3.883837252855301,"perplexity":48.61038799674616,"scored_tokens":4194304,"seconds":3.277047179057263}},"implementation":{"attention_backend":"tpu_flash","attention_tuning":{"key_digest":"4a03491fb0eb198a91ea86e29540b965f1dcced7c12e077dd02af3e5727e4f17","resolution_source":"heuristic","tiles":{"block_kv":512,"block_kv_compute":256,"block_kv_dkv":512,"block_kv_dkv_compute":256,"block_kv_dq":512,"block_kv_dq_compute":256,"block_q":512,"block_q_dkv":512,"block_q_dkv_compute":256,"block_q_dq":256},"tune_seconds":0.0},"configuration":{"overrides":{"study_batch_size":64,"tokens_per_parameter_micros":5000000},"path":"config.yaml","profile":"dev","resolved":{"evaluation":{"eval_batches":8,"val_every":0,"val_probe_batches":8},"kernels":{"attention_backend":"tpu_flash","loss_backend":"tiled","vocab_tile_size":2048},"logging":{"diagnostics_every":10,"log_every":10},"model":{"d_model":640,"heads":10,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"125m","vocab_size":50304},"optimizer":{"adam_epsilon":1e-08,"beta1":0.9,"beta2":0.95,"effective":{"adam_epsilon_horizon_multiplier":0.7177080587596594,"beta1":0.8058647700115604,"beta2":0.9029323850057801,"global_peak_learning_rate":0.0027213363096067,"weight_decay_horizon_multiplier":1.3933241905186304},"grad_clip":0.0,"learning_rate":0.001953125,"min_lr_ratio":0.1,"warmup_steps":118,"weight_decay":0.1},"parameterization":{"attention_scale":"inverse_head_dim","base_depth":12,"base_width":384,"batch_multiplier":4.0,"data_multiplier":2.0604194304342345,"depth_alpha":1.0,"depth_multiplier":1.0,"embeddings":"untied","init_std":0.02,"name":"complete_d_p","width_multiplier":1.6666666666666667},"training":{"batch_size":64,"dtype":"bfloat16","sampling":"shuffled_epochs","seq_len":8192,"steps":1177,"tokens_per_parameter":4.99841058366727,"train_tokens":617086976}},"schema_version":2,"sha256":"a4bad1be29b57d20ec7ae7b0d539f2e777d11f5539607655550b7afca185affe"},"loss_backend":"tiled","vocab_tile_size":2048},"metrics":{"achieved_tflops":571.4858213418325,"attention_tune_seconds":0.0,"base_learning_rate":0.001953125,"diagnostic_compile_seconds":91.94372585194651,"diagnostic_point_count":119,"diagnostics_every":10,"early_stopping_step":null,"estimated_total_flops":846262613091287040,"eval_compile_seconds":23.029963098000735,"expert_top_k":2,"experts":8,"final_validation_seconds":3.277047179057263,"flop_accounting":{"by_site":{"dot_general":3116881674240,"pallas_call":1932735283200,"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":0.12988314121405284,"model_tier":"125m","parameter_count":123525760,"parameters":241628800,"schedule_steps":1177,"tokens_per_parameter":4.99841058366727,"tokens_per_second":416722.2465736724,"tokens_processed":617086976,"total_compile_seconds":179.93901343795005,"total_parameter_count":241628800,"train_compile_seconds":64.9653244880028,"train_loss":3.9040632247924805,"train_seconds":1480.8112143609906,"training_data_epochs":0.07811247541097503,"training_data_sharding":"rank_disjoint_shuffled_windows","training_sampling":"shuffled_epochs","training_steps":1177,"training_token_budget":617086976,"training_usable_tokens_per_epoch":7899979776,"validation_loss":3.883837252855301,"validation_probe_count":0,"validation_probe_seconds":0.0,"validation_tokens":4194304},"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"}
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batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/training.riglog
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:41eccb1d4825c28bdfa4138ee12b03946049f801803055538cd3209cbc9fe6ab
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size 671952
|
batch-size-grid-8k/125m-moe-5tpp-bs64-lr2e-9-s1337/validation.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
| 1 |
+
step,tokens_processed,kind,domain,validation_tokens,validation_loss,perplexity,validation_seconds,canonical
|
| 2 |
+
1177,617086976,fineweb,fineweb,4194304,3.883837252855301,48.61038799674616,3.277047179057263,true
|
batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/diagnostics.riglog
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1e8ee23b970b55c76a9f69c19fb7912c4f9899a0b8f08b83e4d0a03da14c791d
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size 141040
|
batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/metrics.json
ADDED
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@@ -0,0 +1,240 @@
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|
| 1 |
+
{
|
| 2 |
+
"artifacts": {
|
| 3 |
+
"diagnostics": "diagnostics.riglog",
|
| 4 |
+
"training_curve": "training.riglog",
|
| 5 |
+
"validation_curve": "validation.csv"
|
| 6 |
+
},
|
| 7 |
+
"checkpoint": null,
|
| 8 |
+
"contract": {
|
| 9 |
+
"dataset_id": "fineweb-8b-gpt2",
|
| 10 |
+
"model": {
|
| 11 |
+
"d_model": 384,
|
| 12 |
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"heads": 6,
|
| 13 |
+
"layers": 12,
|
| 14 |
+
"mlp_activation": "gelu",
|
| 15 |
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"mlp_mult": 4,
|
| 16 |
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batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/result.json
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@@ -0,0 +1,240 @@
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batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stderr.log
ADDED
|
@@ -0,0 +1,170 @@
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| 1 |
+
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)
|
| 2 |
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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)
|
| 3 |
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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)
|
| 4 |
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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)
|
| 5 |
+
|
| 6 |
+
◆ GPT TPU RIG reference / jax
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
● Attention tile preflight resolving the shipped lookup or shape heuristic
|
| 10 |
+
╭─ run configuration ────────────────────────────────────────────────────────╮
|
| 11 |
+
│ experiment config config.yaml · dev · sha256:e3a9103e6016 │
|
| 12 |
+
│ devices 16 × TPU v4 │
|
| 13 |
+
│ JAX processes 4 (this rank 1) │
|
| 14 |
+
│ mesh data=16 (replicated model) │
|
| 15 |
+
│ dataset 79 train + 1 val shard(s) │
|
| 16 |
+
│ train / val tokens 7,900,000,000 / 100,000,000 │
|
| 17 |
+
│ downstream not requested │
|
| 18 |
+
│ model 60m · L12 D384 H6 RoPE RMSNorm GELU MLP×4 │
|
| 19 |
+
│ parameters 59.92M │
|
| 20 |
+
│ parameterization complete_d_p · mN=1 · mL=1 · mD=1 │
|
| 21 |
+
│ global batch 32 × 8192 tokens │
|
| 22 |
+
│ train sampling shuffled epochs · 7,899,979,776 unique targets/epoch │
|
| 23 |
+
│ compute bfloat16 │
|
| 24 |
+
│ attention tpu_flash │
|
| 25 |
+
│ attention tuning heuristic · key 830d965b4dc6 │
|
| 26 |
+
│ attention fwd q512 · kv512/256 │
|
| 27 |
+
│ attention dK/dV q512/256 · kv512/256 │
|
| 28 |
+
│ attention dQ q256 · kv512/256 │
|
| 29 |
+
│ output loss tiled CE (semantic 50,304, tile 2,048) │
|
| 30 |
+
│ diagnostics step 1 / every 10 / final │
|
| 31 |
+
│ duration 1,143 steps │
|
| 32 |
+
│ train tokens 299.63M │
|
| 33 |
+
│ traced FLOPs 221029.69T │
|
| 34 |
+
│ FLOP breakdown dot_general 2,332,173,533,184 (38.6%) · tpu_flash_ca… │
|
| 35 |
+
│ XProf disabled │
|
| 36 |
+
╰────────────────────────────────────────────────────────────────────────────╯
|
| 37 |
+
|
| 38 |
+
● Compiling train step compilation is outside train_seconds
|
| 39 |
+
|
| 40 |
+
● Compiling sparse diagnostics separate executable; compilation is outside train_seconds
|
| 41 |
+
|
| 42 |
+
● Compiling evaluation reused by probes and final validation
|
| 43 |
+
|
| 44 |
+
● Training train compiled in 30.75s, eval in 7.54s; periodic validation disabled
|
| 45 |
+
1/1143 ────────────────── loss 10.9059 lr 9.69e-05 |g| 3.578 1.06M tok/s
|
| 46 |
+
10/1143 ────────────────── loss 8.8411 lr 9.69e-04 |g| 1.531 1.36M tok/s
|
| 47 |
+
20/1143 ────────────────── loss 7.7440 lr 1.94e-03 |g| 0.993 1.43M tok/s
|
| 48 |
+
30/1143 ────────────────── loss 7.5405 lr 2.91e-03 |g| 0.301 1.45M tok/s
|
| 49 |
+
40/1143 ━───────────────── loss 7.4743 lr 3.88e-03 |g| 0.474 1.46M tok/s
|
| 50 |
+
50/1143 ━───────────────── loss 7.2820 lr 4.85e-03 |g| 0.289 1.47M tok/s
|
| 51 |
+
60/1143 ━───────────────── loss 7.1599 lr 5.82e-03 |g| 0.322 1.48M tok/s
|
| 52 |
+
70/1143 ━───────────────── loss 7.1322 lr 6.78e-03 |g| 0.396 1.48M tok/s
|
| 53 |
+
80/1143 ━───────────────── loss 7.0951 lr 7.75e-03 |g| 0.533 1.48M tok/s
|
| 54 |
+
90/1143 ━───────────────── loss 7.0788 lr 8.72e-03 |g| 0.263 1.48M tok/s
|
| 55 |
+
100/1143 ━━──────────────── loss 6.8993 lr 9.69e-03 |g| 0.406 1.49M tok/s
|
| 56 |
+
110/1143 ━━──���───────────── loss 6.8527 lr 1.07e-02 |g| 0.337 1.49M tok/s
|
| 57 |
+
120/1143 ━━──────────────── loss 6.7805 lr 1.10e-02 |g| 0.282 1.49M tok/s
|
| 58 |
+
130/1143 ━━──────────────── loss 6.8102 lr 1.10e-02 |g| 0.377 1.49M tok/s
|
| 59 |
+
140/1143 ━━──────────────── loss 6.6232 lr 1.10e-02 |g| 0.285 1.49M tok/s
|
| 60 |
+
150/1143 ━━──────────────── loss 6.5054 lr 1.10e-02 |g| 0.342 1.49M tok/s
|
| 61 |
+
160/1143 ━━━─────────────── loss 6.5052 lr 1.10e-02 |g| 0.332 1.49M tok/s
|
| 62 |
+
170/1143 ━━━─────────────── loss 6.4012 lr 1.10e-02 |g| 0.306 1.49M tok/s
|
| 63 |
+
180/1143 ━━━─────────────── loss 6.3490 lr 1.09e-02 |g| 0.235 1.49M tok/s
|
| 64 |
+
190/1143 ━━━─────────────── loss 6.2472 lr 1.09e-02 |g| 0.268 1.49M tok/s
|
| 65 |
+
200/1143 ━━━─────────────── loss 6.2365 lr 1.09e-02 |g| 0.182 1.49M tok/s
|
| 66 |
+
210/1143 ━━━─────────────── loss 6.1598 lr 1.08e-02 |g| 0.221 1.49M tok/s
|
| 67 |
+
220/1143 ━━━─────────────── loss 6.1108 lr 1.08e-02 |g| 0.119 1.49M tok/s
|
| 68 |
+
230/1143 ━━━━────────────── loss 6.1300 lr 1.07e-02 |g| 0.151 1.49M tok/s
|
| 69 |
+
240/1143 ━━━━────────────── loss 6.1268 lr 1.07e-02 |g| 0.202 1.49M tok/s
|
| 70 |
+
250/1143 ━━━━────────────── loss 5.8976 lr 1.06e-02 |g| 0.121 1.49M tok/s
|
| 71 |
+
260/1143 ━━━━────────────── loss 5.9578 lr 1.06e-02 |g| 0.189 1.50M tok/s
|
| 72 |
+
270/1143 ━━━━────────────── loss 5.8510 lr 1.05e-02 |g| 0.115 1.50M tok/s
|
| 73 |
+
280/1143 ━━━━────────────── loss 5.8138 lr 1.04e-02 |g| 0.207 1.50M tok/s
|
| 74 |
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| 113 |
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680/1143 ━━━━━━━━━━━─────── loss 4.8194 lr 5.30e-03 |g| 0.112 1.50M tok/s
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910/1143 ━━━━━━━━━━━━━━──── loss 4.5181 lr 2.31e-03 |g| 0.088 1.50M tok/s
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930/1143 ━━━━━━━━━━━━━━━─── loss 4.4903 lr 2.12e-03 |g| 0.084 1.50M tok/s
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| 139 |
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940/1143 ━━━━━━━━━━━━━━━─── loss 4.4484 lr 2.03e-03 |g| 0.086 1.50M tok/s
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| 140 |
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| 144 |
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990/1143 ━━━━━━━━━━━━━━━━── loss 4.4443 lr 1.64e-03 |g| 0.076 1.50M tok/s
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| 145 |
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1000/1143 ━━━━━━━━━━━━━━━━── loss 4.3446 lr 1.57e-03 |g| 0.067 1.50M tok/s
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| 146 |
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1010/1143 ━━━━━━━━━━━━━━━━── loss 4.4441 lr 1.51e-03 |g| 0.083 1.50M tok/s
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| 147 |
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| 148 |
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1030/1143 ━━━━━━━━━━━━━━━━── loss 4.3775 lr 1.40e-03 |g| 0.070 1.50M tok/s
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| 149 |
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1040/1143 ━━━━━━━━━━━━━━━━── loss 4.4050 lr 1.35e-03 |g| 0.082 1.50M tok/s
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| 150 |
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1050/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3567 lr 1.30e-03 |g| 0.082 1.50M tok/s
|
| 151 |
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1060/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3461 lr 1.26e-03 |g| 0.075 1.50M tok/s
|
| 152 |
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1070/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3595 lr 1.23e-03 |g| 0.082 1.50M tok/s
|
| 153 |
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1080/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3248 lr 1.20e-03 |g| 0.073 1.50M tok/s
|
| 154 |
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1090/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3748 lr 1.17e-03 |g| 0.089 1.50M tok/s
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| 155 |
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1100/1143 ━━━━━━━━━━━━━━━━━─ loss 4.4048 lr 1.15e-03 |g| 0.081 1.50M tok/s
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| 156 |
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1110/1143 ━━━━━━━━━━━━━━━━━─ loss 4.3058 lr 1.13e-03 |g| 0.076 1.50M tok/s
|
| 157 |
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1120/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3563 lr 1.12e-03 |g| 0.070 1.50M tok/s
|
| 158 |
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1130/1143 ━━━━━━━━━━━━━━━━━━ loss 4.2527 lr 1.11e-03 |g| 0.080 1.50M tok/s
|
| 159 |
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1140/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3288 lr 1.11e-03 |g| 0.075 1.50M tok/s
|
| 160 |
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1143/1143 ━━━━━━━━━━━━━━━━━━ loss 4.3668 lr 1.10e-03 |g| 0.079 1.50M tok/s
|
| 161 |
+
|
| 162 |
+
● Canonical validation 8 deterministic batches outside train_seconds
|
| 163 |
+
|
| 164 |
+
● Fresh-domain validation skipped; no downstream data supplied
|
| 165 |
+
|
| 166 |
+
● Artifacts training.riglog + validation.csv + diagnostics.riglog
|
| 167 |
+
|
| 168 |
+
✓ synchronized training 199.837s (compilation excluded)
|
| 169 |
+
validation loss 4.3400 in 0.499s
|
| 170 |
+
|
batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/stdout.log
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
RIG_RESULT={"artifacts":{"diagnostics":"diagnostics.riglog","training_curve":"training.riglog","validation_curve":"validation.csv"},"checkpoint":null,"contract":{"dataset_id":"fineweb-8b-gpt2","model":{"d_model":384,"heads":6,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"60m","vocab_size":50304},"model_id":"reference-gpt-v3-family","sequence_length":8192,"tokenizer_id":"gpt2"},"evaluations":{"fineweb":{"canonical":true,"loss":4.340004205703735,"perplexity":76.70786194815872,"scored_tokens":2097152,"seconds":0.4993955100653693}},"implementation":{"attention_backend":"tpu_flash","attention_tuning":{"key_digest":"830d965b4dc60d42d14e68085dc167d8e872107eedb4d39dae7fc864e2c06b9f","resolution_source":"heuristic","tiles":{"block_kv":512,"block_kv_compute":256,"block_kv_dkv":512,"block_kv_dkv_compute":256,"block_kv_dq":512,"block_kv_dq_compute":256,"block_q":512,"block_q_dkv":512,"block_q_dkv_compute":256,"block_q_dq":256},"tune_seconds":0.0},"configuration":{"overrides":{"study_batch_size":32,"tokens_per_parameter_micros":5000000},"path":"config.yaml","profile":"dev","resolved":{"evaluation":{"eval_batches":8,"val_every":0,"val_probe_batches":8},"kernels":{"attention_backend":"tpu_flash","loss_backend":"tiled","vocab_tile_size":2048},"logging":{"diagnostics_every":10,"log_every":10},"model":{"d_model":384,"heads":6,"layers":12,"mlp_activation":"gelu","mlp_mult":4,"normalization":"rms_norm","parameterization":"complete_d_p","position_encoding":"rope_base_10000","semantic_vocab_size":50304,"tied_embeddings":false,"tier":"60m","vocab_size":50304},"optimizer":{"adam_epsilon":1e-08,"beta1":0.9,"beta2":0.95,"effective":{"adam_epsilon_horizon_multiplier":0.7071067811865476,"beta1":0.8,"beta2":0.8999999999999999,"global_peak_learning_rate":0.011048543456039806,"weight_decay_horizon_multiplier":1.4142135623730951},"grad_clip":0.0,"learning_rate":0.0078125,"min_lr_ratio":0.1,"warmup_steps":114,"weight_decay":0.1},"parameterization":{"attention_scale":"inverse_head_dim","base_depth":12,"base_width":384,"batch_multiplier":2.0,"data_multiplier":1.0,"depth_alpha":1.0,"depth_multiplier":1.0,"embeddings":"untied","init_std":0.02,"name":"complete_d_p","width_multiplier":1.0},"training":{"batch_size":32,"dtype":"bfloat16","sampling":"shuffled_epochs","seq_len":8192,"steps":1143,"tokens_per_parameter":5.000660099848113,"train_tokens":299630592}},"schema_version":2,"sha256":"e3a9103e60160c720239a391afbec5aca213eaf0cecd971a2fb45fe709b764cd"},"loss_backend":"tiled","vocab_tile_size":2048},"metrics":{"achieved_tflops":1106.0485394685927,"attention_tune_seconds":0.0,"base_learning_rate":0.0078125,"diagnostic_compile_seconds":64.89848163595889,"diagnostic_point_count":116,"diagnostics_every":10,"early_stopping_step":null,"estimated_total_flops":221029692528918528,"eval_compile_seconds":7.537445341935381,"final_validation_seconds":0.4993955100653693,"flop_accounting":{"by_site":{"dot_general":2332173533184,"tpu_flash_causal_attention_bwd_dkv":1236950581248,"tpu_flash_causal_attention_bwd_dq":1236950581248,"tpu_flash_causal_attention_fwd":1236950581248},"elementwise_per_sequence":9192636658,"matmul_per_sequence":6043025276928,"method":"traced-jaxpr","warnings":[]},"flops_per_token":737673984,"mfu_estimate":0.2513746680610438,"model_tier":"60m","parameter_count":59918208,"parameters":59918208,"schedule_steps":1143,"tokens_per_parameter":5.000660099848113,"tokens_per_second":1499373.1153037285,"tokens_processed":299630592,"total_compile_seconds":103.18550181784667,"train_compile_seconds":30.749574839952402,"train_loss":4.366822242736816,"train_seconds":199.8372446069261,"training_data_epochs":0.037928020133706226,"training_data_sharding":"rank_disjoint_shuffled_windows","training_sampling":"shuffled_epochs","training_steps":1143,"training_token_budget":299630592,"training_usable_tokens_per_epoch":7899979776,"validation_loss":4.340004205703735,"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"}
|
batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/training.riglog
ADDED
|
Binary file (18.4 kB). View file
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|
batch-size-grid-8k/60m-8k-5tpp-bs32-lr2e-7-s1337/validation.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
step,tokens_processed,kind,domain,validation_tokens,validation_loss,perplexity,validation_seconds,canonical
|
| 2 |
+
1143,299630592,fineweb,fineweb,2097152,4.340004205703735,76.70786194815872,0.4993955100653693,true
|