| [18:22:46] longeval: T=65536 prompt_len=65512 max_new=24 n=100 greedy=1 gpus=3 |
| [18:22:46] haystack: /root/Adhi/BluTrain/dist/Context_Parallelism/Data_Loader/Data/b2_8192_16384/val_shard_00000.bin |
| [18:22:46] prompt signature changed -- regenerating prompts and clearing state |
| [18:22:46] generating prompts: niah_single |
| [18:22:51] fan-out: 1 GPU(s), NP=1 -> 1 concurrent job(s) |
| [18:22:51] 1 job(s) to run |
| [18:22:51] [gpu 3] cont64k / niah_single |
| [19:07:25] scoring cont64k / niah_single |
|
|
| === niah_single (prompt_len=65512, n=100) === |
| accuracy: 1/100 = 1.0% |
| depth acc (needle position in context) |
| 0.00 0/20 0.0% |
| 0.25 0/20 0.0% |
| 0.50 0/20 0.0% |
| 0.75 0/20 0.0% |
| 1.00 1/20 5.0% |
|
|
| --- 2 sample generations --- |
| [MISS] expect=8056020 |
| got= the number yof. Letâ credentials jacking wheel. IB Text Is to answer, as does |
| [MISS] expect=5343902 |
| got= not just what the output. Why do it better Insaid had two options and just the questions of what happens, when |
|
|
| wrote cont64k_len_65512/scores/cont64k_niah_single.csv |
| [19:07:25] building summary |
|
|
| === per-task accuracy % (secondary/descriptive: ~10 per depth cell) === |
| task cont64k |
| niah_single 1.0 |
|
|
| degenerate (<=1% for every model): ['niah_single'] |
| ALL tasks degenerate -> FLOOR EFFECT. Pooling everything anyway; |
| differences between models are untestable at this setting (no power). |
|
|
| === PRIMARY: accuracy % pooled by depth across tasks (+-95% Wilson) === |
| depth cont64k |
| 0.00 0.0+- 8.1 |
| 0.25 0.0+- 8.1 |
| 0.50 0.0+- 8.1 |
| 0.75 0.0+- 8.1 |
| 1.00 5.0+-11.4 |
|
|
| wrote cont64k_len_65512/summary.csv and cont64k_len_65512/depth_summary.csv |
| [19:07:25] DONE -> cont64k_len_65512/summary.csv |
|
|
