diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..e63b201ff27d97e535854de8426a484583bb68d5 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_absent_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_absent_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_absent_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..6191dd5630dd08de6feac45e10b1dd5c4f761f91 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_absent_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_absent_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_absent_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..c4bfe55fa03afbe0e26fef5d4c928b1841143744 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_absent_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_absent_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_absent_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_absent_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..eac86a40bdaa76afd4449cd7700a8c6607d39257 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_null_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_null_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_null_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..385b44b08c2c8ef90033f03032854f12119486cd --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_null_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_null_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_null_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..97546f76f5f4ee86cbfc8929c67a099968697569 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_null_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_null_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_null_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_null_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..cfe64d7408937df209ad259a1958751355a7dada --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.25_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.25_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.25_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..87ffa7489b8d5f4a1035c3c351f241b03c59aa5f --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.25_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.25_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.25_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..151d419191bd41afc806340178d5b559cafc8401 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.25_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.25_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.25_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.25_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..52dfa5935e6771ebc6641014b992797d9dd50738 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.5_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.5_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.5_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..da9928f9874c60bed8a9e3956bb2cc58f70948ff --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.5_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.5_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.5_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..4cb8c03e9925253f313b99c0b16c8597921a7b8d --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.5_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.5_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.5_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.5_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..ef701ee0450391027c2f9ce87ca7183da4e59e9c --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.75_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.75_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.75_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..6d54e595050248852d653f7b6f9b3c92e448bce3 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.75_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.75_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.75_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..7c2df07c861bee7acdcd62c9bc885de1999e9ed2 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0.75_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0.75_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0.75_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0.75_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..1d2b9dd60d29fa4954935d505fe82d4791879565 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..a5d1dc92a75909630a4d948442a71113a282dc80 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..b60c3ecbb126a3b05c07b9acd52011f93c4ed649 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p0_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p0_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p0_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p0_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b0.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b0.log new file mode 100644 index 0000000000000000000000000000000000000000..2a82560ed4f07f97e84a4db6163bf4b677658bee --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b0.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p1_b0.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p1_b0.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p1_b0.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b1.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b1.log new file mode 100644 index 0000000000000000000000000000000000000000..d62a1afa96fa71f825adc6cd549cad1edc2a0498 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b1.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p1_b1.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p1_b1.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p1_b1.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b2.log b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b2.log new file mode 100644 index 0000000000000000000000000000000000000000..b93e63fa7b0bfc29fae2772f6160cb28a1f64090 --- /dev/null +++ b/logs/probe_run8/csv/1b_run8_T4096_ntk_p1_b2.log @@ -0,0 +1,45 @@ +=== Llama Context Parallel Training Script (bluscriptCP) === +[CP attn fusion] split (Stage-2 rope-once + Stage-3 Hopper causal-attn kernels) +[LongRoPE] factors=probe_run8/needles/lam_ntk_hd128_th500000_s1.txt n_hat=0 s=1 S_search=4096 (alone) +================ Configuration (bluscriptCP) ================ + d_model/layers : 1536 / 36 + q/kv heads : 12 / 4 (G=3, hd=128) + ffn_hidden : 4096 (SwiGLU) + context_length : 4096 + vocab_size : 50304 tying=0 + B x T : 1 x 4096 + world_size : 1 (dp=1 x cp=1) + CP_ATTN_MODE : ring (load_balance=HeadTail) + global_batch : 524288 (grad_accum=128) + optimizer : AdamW [DDP] + precision : fp32 everywhere + max_lr/min_lr : 0.0006 / 6e-05 + warmup/steps : 91 / 917 (cosine, no stable phase) + checkpointing : true (ckpt_freq=50, dir=checkpoints_bluscriptcp) +============================================================= +Initializing model on CUDA device 0... +[YaRN] build_rope_cache: seq_len=4096 hd=128 scale=1.000 low=7 high=25 m=1.0000 +[LongRoPE] build_rope_cache_longrope: seq_len=4096 hd=128 n_hat=0 lam0=1.0000 lam_last=1.0000 mscale=1.0000 +[InitFrom] weights loaded from /root/Adhi/BluTrain/dist/Context_Parallelism/checkpoints_bluscriptcp/blumodelcp_run8_step_1000.ckpt (base step 1000, loss 2.66226) -- optimizer state and RNG intentionally NOT restored; pair with CP_REWARMUP +Parameters: 1060624896 +Parameters per GPU: 1060624896 +max_steps: 917 +warmup_steps: 91 +found 100 shards for split train +found 1 shards for split val +[Resume] latest run 8 already complete at step 1003; starting a new run. +Saving logs to: CP_BluScreipt_Training_logs/CP_Training_log7.csv (run 7) +[rope_theta] 500000 compiled default (no sidecar -- legacy run, assuming it was trained at this base) +Checkpointing: ON -> checkpoints_bluscriptcp/blumodelcp_run7_step_.ckpt (every 50 steps, keep 6) +[eval] shared token stream: 32769 int32 tokens from probe_run8/needles/needle_T4096_p1_b2.bin (B forced to 1 for HF-scorer parity) +[eval] PPL-vs-position: 8 windows (skip=0) x B=1 Tglobal=4096 Tlocal=4096 cp=1 (YARN_SCALE via env) -> probe_run8/csv/ppl_needle_T4096_p1_b2.csv +[eval] per-position NLL: GPU +[eval] window 1/8 done +[eval] window 2/8 done +[eval] window 3/8 done +[eval] window 4/8 done +[eval] window 5/8 done +[eval] window 6/8 done +[eval] window 7/8 done +[eval] window 8/8 done +[eval] wrote probe_run8/csv/ppl_needle_T4096_p1_b2.csv (4096 positions, 8 windows) diff --git a/logs/probe_run8/csv/ppl_needle_T4096_absent_b0.csv b/logs/probe_run8/csv/ppl_needle_T4096_absent_b0.csv new file mode 100644 index 0000000000000000000000000000000000000000..593561158bff7b77f1637698164d06b3f471dbd2 --- /dev/null +++ b/logs/probe_run8/csv/ppl_needle_T4096_absent_b0.csv @@ -0,0 +1,4097 @@ +pos,count,mean_nll,ppl +0,8,9.219678,10093.808634 +1,8,6.502527,666.824306 +2,8,2.834699,17.025270 +3,8,6.102923,447.162942 +4,8,5.191602,179.756324 +5,8,4.262983,71.021541 +6,8,5.064948,158.372202 +7,8,3.404074,30.086423 +8,8,3.335341,28.087970 +9,8,3.245173,25.666156 +10,8,3.331116,27.969530 +11,8,3.529556,34.108835 +12,8,3.797323,44.581674 +13,8,2.320415,10.179899 +14,8,1.848134,6.347960 +15,8,2.806294,16.548476 +16,8,3.230664,25.296449 +17,8,2.960029,19.298534 +18,8,2.500278,12.185879 +19,8,4.462241,86.681511 +20,8,3.320536,27.675186 +21,8,3.488190,32.726656 +22,8,5.116411,166.735919 +23,8,2.995812,20.001585 +24,8,3.615663,37.175998 +25,8,2.627889,13.844510 +26,8,3.051437,21.145718 +27,8,3.619723,37.327225 +28,8,3.392922,29.752752 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