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Archive stopped generator: latest 39k, best validation 38k, results and best Gen-PPL provenance

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  1. iclr-debug-generator-decay27b-20260917/generator/checkpoint-iter-38000.pt +3 -0
  2. iclr-debug-generator-decay27b-20260917/generator/checkpoint-iter-39000.pt +3 -0
  3. iclr-debug-generator-decay27b-20260917/generator/exports/step-38000/ncp-config.yaml +179 -0
  4. iclr-debug-generator-decay27b-20260917/generator/exports/step-38000/ncp.pt +3 -0
  5. iclr-debug-generator-decay27b-20260917/generator/exports/step-38000/vqvae-config.yaml +117 -0
  6. iclr-debug-generator-decay27b-20260917/generator/exports/step-38000/vqvae.pt +3 -0
  7. iclr-debug-generator-decay27b-20260917/generator/exports/step-39000/ncp-config.yaml +179 -0
  8. iclr-debug-generator-decay27b-20260917/generator/exports/step-39000/ncp.pt +3 -0
  9. iclr-debug-generator-decay27b-20260917/generator/exports/step-39000/vqvae-config.yaml +117 -0
  10. iclr-debug-generator-decay27b-20260917/generator/exports/step-39000/vqvae.pt +3 -0
  11. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/README.md +7 -0
  12. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/STOPPED.json +10 -0
  13. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/STOP_REQUESTED.json +26 -0
  14. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/backup-manifest.json +316 -0
  15. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/config.yaml +223 -0
  16. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/git-provenance.json +3 -0
  17. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/manifest.json +517 -0
  18. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/progress.json +14 -0
  19. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/training-to-12875.log +0 -0
  20. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/training-to-25750.log +0 -0
  21. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/training-to-4769.log +0 -0
  22. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/training-to-51499.log +0 -0
  23. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/training-to-954.log +185 -0
  24. iclr-debug-generator-decay27b-20260917/generator/stopped-20260919/validation-curve.json +432 -0
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+ wandb: Run `wandb offline` to turn off syncing.
19
+ wandb: Syncing run iclr-debug-generator-decay27b-20260917-generator
20
+ wandb: ⭐️ View project at https://wandb.ai/mstok/iclr-debug
21
+ wandb: 🚀 View run at https://wandb.ai/mstok/iclr-debug/runs/iclr-debug-generator-decay27b-20260917-generator
22
+ NCP Transformer, Total parameter count: 104.61M
23
+ NCP Transformer, Non embedding parameter count: 104.30M
24
+ NCP Transformer, Total parameter count: 104.61M
25
+ NCP Transformer, Non embedding parameter count: 104.30M
26
+ NCP Transformer, Total parameter count: 104.61M
27
+ NCP Transformer, Non embedding parameter count: 104.30M
28
+ NCP Transformer, Total parameter count: 104.61M
29
+ NCP Transformer, Non embedding parameter count: 104.30M
30
+ NCP Transformer, Total parameter count: 104.61M
31
+ NCP Transformer, Non embedding parameter count: 104.30M
32
+ NCP Transformer, Total parameter count: 104.61M
33
+ NCP Transformer, Non embedding parameter count: 104.30M
34
+ NCP Transformer, Total parameter count: 104.61M
35
+ NCP Transformer, Non embedding parameter count: 104.30M
36
+ VQVAE, Total parameter count: 223.75M
37
+ VQVAE, Non embedding parameter count: 204.34M
38
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
39
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
40
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
41
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
42
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
43
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
44
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
45
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
46
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
47
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
48
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
49
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
50
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
51
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
52
+ NCP Transformer, Total parameter count: 104.61M
53
+ NCP Transformer, Non embedding parameter count: 104.30M
54
+ /home/ubuntu/mstok-runs/iclr-debug-generator-decay27b-20260917/train_iclr_debug.py:129: FutureWarning: `broadcast_buffers` is deprecated. Use `forward_sync_buffers` instead. IMPORTANT: unlike `broadcast_buffers=False`, `forward_sync_buffers=False` still syncs buffers at init. If you rely on buffers NOT being synced at init (e.g. rank-local buffers), keep using `broadcast_buffers=False` until `init_sync_buffers` is available.
55
+ ddp = DDP(model, device_ids=[local_rank] if device.type == "cuda" else None,
56
+ {"step": 1, "stop_at": 954, "target": 128747, "training/loss": 9.871083557605743, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.871083557605743, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.004180602006688963, "training/generator_lr": 4.444444444444444e-06, "training/grad_norm": 0.14711065590381622, "training/positions": 1048576, "training/nonpadding_tokens": 1048576, "throughput/steps_per_second": 0.040056736496171794, "throughput/raw_tokens_per_second": 42002.532528209835, "throughput/peak_reserved_gib": 23.4921875}
57
+ {"step": 10, "stop_at": 954, "target": 128747, "training/loss": 9.844660883148512, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.844660883148512, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.006423320791527313, "training/generator_lr": 2.4444444444444445e-05, "training/grad_norm": 0.11732996255159378, "training/positions": 10485760, "training/nonpadding_tokens": 10485517, "throughput/steps_per_second": 0.4089769276301097, "throughput/raw_tokens_per_second": 428832.34848962387, "throughput/peak_reserved_gib": 24.275390625}
58
+ {"step": 20, "stop_at": 954, "target": 128747, "training/loss": 9.761483243852854, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.761483243852854, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.10068392035953178, "training/generator_lr": 4.666666666666667e-05, "training/grad_norm": 0.07661070674657822, "training/positions": 20971520, "training/nonpadding_tokens": 20971118, "throughput/steps_per_second": 0.40854297967511893, "throughput/raw_tokens_per_second": 428381.8676224407, "throughput/peak_reserved_gib": 24.275390625}
59
+ {"step": 30, "stop_at": 954, "target": 128747, "training/loss": 9.691915126144886, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.691915126144886, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.12911201400501673, "training/generator_lr": 6.88888888888889e-05, "training/grad_norm": 0.06473804265260696, "training/positions": 31457280, "training/nonpadding_tokens": 31456759, "throughput/steps_per_second": 0.40819095946349926, "throughput/raw_tokens_per_second": 428014.38603798056, "throughput/peak_reserved_gib": 24.275390625}
60
+ {"step": 40, "stop_at": 954, "target": 128747, "training/loss": 9.617637950181962, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.617637950181962, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.14391722408026755, "training/generator_lr": 9.111111111111112e-05, "training/grad_norm": 0.05417126789689064, "training/positions": 41943040, "training/nonpadding_tokens": 41942305, "throughput/steps_per_second": 0.4082063528359705, "throughput/raw_tokens_per_second": 428026.6490153799, "throughput/peak_reserved_gib": 24.275390625}
61
+ {"step": 50, "stop_at": 954, "target": 128747, "training/loss": 9.540264104306697, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.540264104306697, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.1579304060409699, "training/generator_lr": 0.00011333333333333333, "training/grad_norm": 0.046573422849178314, "training/positions": 52428800, "training/nonpadding_tokens": 52427940, "throughput/steps_per_second": 0.40827410034268924, "throughput/raw_tokens_per_second": 428101.3196146814, "throughput/peak_reserved_gib": 24.275390625}
62
+ {"step": 60, "stop_at": 954, "target": 128747, "training/loss": 9.472410047054291, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.472410047054291, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.21007361778846154, "training/generator_lr": 0.00013555555555555556, "training/grad_norm": 0.040664225816726685, "training/positions": 62914560, "training/nonpadding_tokens": 62913625, "throughput/steps_per_second": 0.4082463355870231, "throughput/raw_tokens_per_second": 428074.2477369815, "throughput/peak_reserved_gib": 24.275390625}
63
+ {"step": 70, "stop_at": 954, "target": 128747, "training/loss": 9.417964617908002, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.417964617908002, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.2791727633779264, "training/generator_lr": 0.00015777777777777776, "training/grad_norm": 0.04755992069840431, "training/positions": 73400320, "training/nonpadding_tokens": 73399129, "throughput/steps_per_second": 0.40795361411389064, "throughput/raw_tokens_per_second": 427759.92526056565, "throughput/peak_reserved_gib": 24.275390625}
64
+ {"step": 80, "stop_at": 954, "target": 128747, "training/loss": 9.377101661264897, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.377101661264897, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.2935272522993311, "training/generator_lr": 0.00017999999999999998, "training/grad_norm": 0.03830907493829727, "training/positions": 83886080, "training/nonpadding_tokens": 83884677, "throughput/steps_per_second": 0.40793310448662184, "throughput/raw_tokens_per_second": 427740.2147883489, "throughput/peak_reserved_gib": 24.275390625}
65
+ {"step": 90, "stop_at": 954, "target": 128747, "training/loss": 9.345998856425286, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.345998856425286, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.4252586747491639, "training/generator_lr": 0.00020222222222222223, "training/grad_norm": 0.06383036077022552, "training/positions": 94371840, "training/nonpadding_tokens": 94370271, "throughput/steps_per_second": 0.40765827425937967, "throughput/raw_tokens_per_second": 427453.9154624506, "throughput/peak_reserved_gib": 24.275390625}
66
+ {"step": 100, "stop_at": 954, "target": 128747, "training/loss": 9.3251358166337, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.3251358166337, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.5700887724707357, "training/generator_lr": 0.00022444444444444446, "training/grad_norm": 0.10724775493144989, "training/positions": 104857600, "training/nonpadding_tokens": 104855825, "throughput/steps_per_second": 0.40800465790836943, "throughput/raw_tokens_per_second": 427815.4872749735, "throughput/peak_reserved_gib": 24.275390625}
67
+ {"step": 110, "stop_at": 954, "target": 128747, "training/loss": 9.30225510597229, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.30225510597229, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.7181506715091973, "training/generator_lr": 0.0002466666666666667, "training/grad_norm": 0.05290738120675087, "training/positions": 115343360, "training/nonpadding_tokens": 115341579, "throughput/steps_per_second": 0.40772746738335813, "throughput/raw_tokens_per_second": 427532.99220249173, "throughput/peak_reserved_gib": 24.275390625}
68
+ {"step": 120, "stop_at": 954, "target": 128747, "training/loss": 9.274820706248283, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.274820706248283, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 0.8931398933946488, "training/generator_lr": 0.00026888888888888893, "training/grad_norm": 0.05407208576798439, "training/positions": 125829120, "training/nonpadding_tokens": 125827327, "throughput/steps_per_second": 0.4078665861646931, "throughput/raw_tokens_per_second": 427678.62401432585, "throughput/peak_reserved_gib": 24.275390625}
69
+ {"step": 130, "stop_at": 954, "target": 128747, "training/loss": 9.250935723632574, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.250935723632574, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.034989679138796, "training/generator_lr": 0.00029111111111111113, "training/grad_norm": 0.09266811609268188, "training/positions": 136314880, "training/nonpadding_tokens": 136312889, "throughput/steps_per_second": 0.4080129739936707, "throughput/raw_tokens_per_second": 427824.5335615022, "throughput/peak_reserved_gib": 24.275390625}
70
+ {"step": 140, "stop_at": 954, "target": 128747, "training/loss": 9.215728542208671, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.215728542208671, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.2045473845108696, "training/generator_lr": 0.0003133333333333334, "training/grad_norm": 0.05760117992758751, "training/positions": 146800640, "training/nonpadding_tokens": 146798407, "throughput/steps_per_second": 0.4081664461218752, "throughput/raw_tokens_per_second": 427983.66178069526, "throughput/peak_reserved_gib": 24.275390625}
71
+ {"step": 150, "stop_at": 954, "target": 128747, "training/loss": 9.179465129226447, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.179465129226447, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.397830006270903, "training/generator_lr": 0.0003355555555555556, "training/grad_norm": 0.14713037014007568, "training/positions": 157286400, "training/nonpadding_tokens": 157284143, "throughput/steps_per_second": 0.40807877914102925, "throughput/raw_tokens_per_second": 427900.63452751393, "throughput/peak_reserved_gib": 24.275390625}
72
+ {"step": 160, "stop_at": 954, "target": 128747, "training/loss": 9.154566588997842, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.154566588997842, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.463449127299331, "training/generator_lr": 0.00035777777777777777, "training/grad_norm": 0.07448174804449081, "training/positions": 167772160, "training/nonpadding_tokens": 167769767, "throughput/steps_per_second": 0.40834239634819103, "throughput/raw_tokens_per_second": 428172.4831366104, "throughput/peak_reserved_gib": 24.275390625}
73
+ {"step": 170, "stop_at": 954, "target": 128747, "training/loss": 9.113213916867972, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.113213916867972, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.7127779447115385, "training/generator_lr": 0.00038, "training/grad_norm": 0.0707898736000061, "training/positions": 178257920, "training/nonpadding_tokens": 178255314, "throughput/steps_per_second": 0.408420565060771, "throughput/raw_tokens_per_second": 428251.3030711272, "throughput/peak_reserved_gib": 24.275390625}
74
+ {"step": 180, "stop_at": 954, "target": 128747, "training/loss": 9.085574293136597, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.085574293136597, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 1.8674700172449832, "training/generator_lr": 0.0004022222222222222, "training/grad_norm": 0.12432141602039337, "training/positions": 188743680, "training/nonpadding_tokens": 188740985, "throughput/steps_per_second": 0.4083875000309074, "throughput/raw_tokens_per_second": 428221.69658365846, "throughput/peak_reserved_gib": 24.275390625}
75
+ {"step": 190, "stop_at": 954, "target": 128747, "training/loss": 9.05402339398861, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.05402339398861, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.0216803407190636, "training/generator_lr": 0.00042444444444444447, "training/grad_norm": 0.07192572206258774, "training/positions": 199229440, "training/nonpadding_tokens": 199226665, "throughput/steps_per_second": 0.40873834507605844, "throughput/raw_tokens_per_second": 428589.94901971245, "throughput/peak_reserved_gib": 24.275390625}
76
+ {"step": 200, "stop_at": 954, "target": 128747, "training/loss": 9.018498958647251, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 9.018498958647251, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.2147180053302677, "training/generator_lr": 0.00044666666666666666, "training/grad_norm": 0.11893639713525772, "training/positions": 209715200, "training/nonpadding_tokens": 209712037, "throughput/steps_per_second": 0.40857115212668466, "throughput/raw_tokens_per_second": 428402.051851688, "throughput/peak_reserved_gib": 24.275390625}
77
+ {"step": 210, "stop_at": 954, "target": 128747, "training/loss": 8.987547859549522, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 8.987547859549522, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.3577713471989967, "training/generator_lr": 0.0004688888888888889, "training/grad_norm": 0.13652347028255463, "training/positions": 220200960, "training/nonpadding_tokens": 220197684, "throughput/steps_per_second": 0.40863238412289826, "throughput/raw_tokens_per_second": 428477.4932681116, "throughput/peak_reserved_gib": 24.275390625}
78
+ {"step": 220, "stop_at": 954, "target": 128747, "training/loss": 8.9624773144722, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 8.9624773144722, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.496359936768395, "training/generator_lr": 0.0004911111111111111, "training/grad_norm": 0.12405138462781906, "training/positions": 230686720, "training/nonpadding_tokens": 230683308, "throughput/steps_per_second": 0.4087982310250671, "throughput/raw_tokens_per_second": 428650.4542393988, "throughput/peak_reserved_gib": 24.275390625}
79
+ {"step": 230, "stop_at": 954, "target": 128747, "training/loss": 8.936211570352317, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 8.936211570352317, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.5985315635451505, "training/generator_lr": 0.0004999999536078684, "training/grad_norm": 0.10296963155269623, "training/positions": 241172480, "training/nonpadding_tokens": 241168894, "throughput/steps_per_second": 0.40878647647415084, "throughput/raw_tokens_per_second": 428636.57547066855, "throughput/peak_reserved_gib": 24.275390625}
80
+ {"step": 240, "stop_at": 954, "target": 128747, "training/loss": 8.90674582272768, "training/reconstruction_loss": 0.0, "training/vq_loss": 0.0, "training/ncp_loss": 8.90674582272768, "training/mstok_loss": 0.0, "training/semantic_loss": 0.0, "training/ncp_accuracy": 2.755632381375418, "training/generator_lr": 0.0004999995824709212, "training/grad_norm": 0.1342928558588028, "training/positions": 251658240, "training/nonpadding_tokens": 251654582, "throughput/steps_per_second": 0.4090183719025809, "throughput/raw_tokens_per_second": 428883.903403843, "throughput/peak_reserved_gib": 24.275390625}
81
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+ wandb: View run iclr-debug-generator-decay27b-20260917-generator at: https://wandb.ai/mstok/iclr-debug/runs/iclr-debug-generator-decay27b-20260917-generator
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+ wandb: WARNING wandb version 0.30.0 is available! To upgrade, please run:
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+ wandb: WARNING $ pip install wandb --upgrade
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+ wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with `wandb.require("core")`! See https://wandb.me/wandb-core for more information.
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