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logs/cont64k_len_65512/gen/cont64k_niah_single.log ADDED
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+ === Llama Context Parallel Training Script (bluscriptCP) ===
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+ [CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels)
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+ ================ Configuration (bluscriptCP) ================
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+ d_model/layers : 1536 / 36
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+ q/kv heads : 12 / 4 (G=3, hd=128)
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+ ffn_hidden : 4096 (SwiGLU)
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+ context_length : 65536
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+ vocab_size : 50304 tying=0
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+ B x T : 1 x 65536
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+ world_size : 1 (dp=1 x cp=1)
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+ CP_ATTN_MODE : ring (load_balance=HeadTail)
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+ global_batch : 524288 (grad_accum=8)
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+ precision : bf16 Linears + fp32 norms/residual/logits (fp32 master weights in AdamW) [mask=15 QKV WO MLP HEAD]
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+ max_lr/min_lr : 0.0006 / 6e-05
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+ warmup/steps : 91 / 917 (cosine, no stable phase)
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+ checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp)
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+ =============================================================
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+ Initializing model on CUDA device 0...
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+ [YaRN] build_rope_cache: seq_len=65536 hd=128 scale=2.000 low=24 high=42 m=1.0693
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+ [InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/rank_0/blumodelcp_run4_step_1651.ckpt (base step 1651, loss 1.14331) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP
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+ Parameters: 1060624896
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+ Parameters per GPU: 1060624896
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+ max_steps: 917
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+ warmup_steps: 91
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+ [precision] bf16 params=217, all with fp32 master weights
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+ found 9 shards for split train
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+ found 1 shards for split val
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+ Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log8.csv (run 8)
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+ [rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base)
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+ Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run8_step_<N>.ckpt (every 50 steps, keep 6)
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+ [gen] 100 prompts x 65512 tok, max_new=24 greedy -> /root/Adhi/BluTrain/dist/Context_Parallelism/cont64k_len_65512/gen/cont64k_niah_single.csv
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+ [gen] 10/100
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+ [gen] 20/100
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+ [gen] 30/100
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+ [gen] 40/100
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+ [gen] 50/100
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+ [gen] 60/100
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+ [gen] 70/100
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+ [gen] 80/100
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+ [gen] 90/100
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+ [gen] 100/100
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+ [gen] wrote /root/Adhi/BluTrain/dist/Context_Parallelism/cont64k_len_65512/gen/cont64k_niah_single.csv
logs/cont64k_len_65512/master.log ADDED
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1
+ [18:22:46] longeval: T=65536 prompt_len=65512 max_new=24 n=100 greedy=1 gpus=3
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+ [18:22:46] haystack: /root/Adhi/BluTrain/dist/Context_Parallelism/Data_Loader/Data/b2_8192_16384/val_shard_00000.bin
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+ [18:22:46] prompt signature changed -- regenerating prompts and clearing state
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+ [18:22:46] generating prompts: niah_single
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+ niah_single 100 x 65512 tok -> cont64k_len_65512/prompts/niah_single_prompts.bin
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+ [18:22:51] fan-out: 1 GPU(s), NP=1 -> 1 concurrent job(s)
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+ [18:22:51] 1 job(s) to run
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+ [18:22:51] [gpu 3] cont64k / niah_single
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+ [19:07:25] scoring cont64k / niah_single
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+
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+ === niah_single (prompt_len=65512, n=100) ===
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+ accuracy: 1/100 = 1.0%
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+ depth acc (needle position in context)
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+ 0.00 0/20 0.0%
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+ 0.25 0/20 0.0%
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+ 0.50 0/20 0.0%
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+ 0.75 0/20 0.0%
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+ 1.00 1/20 5.0%
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+
20
+ --- 2 sample generations ---
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+ [MISS] expect=8056020
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+ got= the number yof. Let’ credentials jacking wheel. IB Text Is to answer, as does
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+ [MISS] expect=5343902
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+ got= not just what the output. Why do it better Insaid had two options and just the questions of what happens, when
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+
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+ wrote cont64k_len_65512/scores/cont64k_niah_single.csv
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+ [19:07:25] building summary
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+
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+ === per-task accuracy % (secondary/descriptive: ~10 per depth cell) ===
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+ task cont64k
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+ niah_single 1.0
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+
33
+ degenerate (<=1% for every model): ['niah_single']
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+ ALL tasks degenerate -> FLOOR EFFECT. Pooling everything anyway;
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+ differences between models are untestable at this setting (no power).
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+
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+ === PRIMARY: accuracy % pooled by depth across tasks (+-95% Wilson) ===
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+ depth cont64k
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+ 0.00 0.0+- 8.1
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+ 0.25 0.0+- 8.1
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+ 0.50 0.0+- 8.1
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+ 0.75 0.0+- 8.1
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+ 1.00 5.0+-11.4
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+
45
+ wrote cont64k_len_65512/summary.csv and cont64k_len_65512/depth_summary.csv
46
+ [19:07:25] DONE -> cont64k_len_65512/summary.csv
logs/cont64k_len_65512/prompts/.signature ADDED
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+ N=100|LEN=65512|DEPTHS=0.0,0.25,0.5,0.75,1.0|SEED=0|HAY=val_shard_00000.bin|HAYSZ=199754694
logs/cont64k_len_65512/prompts/niah_single_meta.json ADDED
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