artifacts sync (3069 files)

queue_gm3/ghc.log

@@ -25,3 +25,5 @@ Saving the dataset (1/1 shards): 100%|██████████| 250/250 [0
 dpo htmnpo_coherence htmnpo_conciseness htmnpo_correctness htmnpo_helpfulness inpo ipo ks maxmin nbs simpo unif 
 /NHNHOME/AIPR/sjkim/gtpref/train_gpu.sh: line 15: 962667 Killed                  CUDA_VISIBLE_DEVICES=${GA[$((g%NGA))]} $V -m accelerate.commands.launch --config_file $P/accelerate_configs/single_gpu.yaml --num_processes=1 --main_process_port=$((PB+g)) -m mnpo_scripts.run_mnpo $OUT/config.yaml > $OUT/train.log 2>&1
 TRAIN_DONE aiprlab-polymer
+===== MB round-1 task=hs2gemma anchor=/NHNHOME/AIPR/sjkim/policy_bases/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/ weights={"helpfulness":0.2500,"correctness":0.2500,"coherence":0.2500,"conciseness":0.2500} =====
+allresp built

queue_gm3/gks.log

@@ -76,3 +76,5 @@ Saving the dataset (1/1 shards): 100%|██████████| 250/250 [0
 Saving the dataset (1/1 shards): 100%|██████████| 250/250 [00:00<00:00, 48018.32 examples/s]
 [prep] pre_pref + pre_htobj built
 dpo htmnpo_coherence htmnpo_conciseness htmnpo_correctness htmnpo_helpfulness inpo ipo ks maxmin nbs simpo unif 
+===== MB round-1 task=hs2gemma anchor=/NHNHOME/AIPR/sjkim/policy_bases/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/ weights={"helpfulness": 0.25, "correctness": 0.25, "coherence": 0.25, "conciseness": 0.25} =====
+allresp built

queue_gm3/gnb.log

@@ -76,3 +76,5 @@ Saving the dataset (1/1 shards): 100%|██████████| 250/250 [0
 Saving the dataset (1/1 shards): 100%|██████████| 250/250 [00:00<00:00, 54030.81 examples/s]
 [prep] pre_pref + pre_htobj built
 dpo htmnpo_coherence htmnpo_conciseness htmnpo_correctness htmnpo_helpfulness inpo ipo ks maxmin nbs simpo unif 
+===== MB round-1 task=hs2gemma anchor=/NHNHOME/AIPR/sjkim/policy_bases/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/ weights={"helpfulness": 0.25, "correctness": 0.25, "coherence": 0.25, "conciseness": 0.25} =====
+allresp built

queue_gm3/gsp.log

@@ -25,3 +25,5 @@ Saving the dataset (1/1 shards): 100%|██████████| 250/250 [0
 dpo htmnpo_coherence htmnpo_conciseness htmnpo_correctness htmnpo_helpfulness inpo ipo ks maxmin nbs simpo unif 
 /NHNHOME/AIPR/sjkim/gtpref/train_gpu.sh: line 15: 963363 Killed                  CUDA_VISIBLE_DEVICES=${GA[$((g%NGA))]} $V -m accelerate.commands.launch --config_file $P/accelerate_configs/single_gpu.yaml --num_processes=1 --main_process_port=$((PB+g)) -m mnpo_scripts.run_mnpo $OUT/config.yaml > $OUT/train.log 2>&1
 TRAIN_DONE aiprlab-polymer
+===== MB round-1 task=hs2gemma anchor=/NHNHOME/AIPR/sjkim/policy_bases/models--google--gemma-2-9b-it/snapshots/11c9b309abf73637e4b6f9a3fa1e92e615547819/ weights={"helpfulness":0.2500,"correctness":0.2500,"coherence":0.2500,"conciseness":0.2500} =====
+allresp built

queue_gm3/queue.log

@@ -9,3 +9,9 @@
 [08-07 19:20] ===== gemma panel on GPUs 0 1 =====
 [08-07 19:20] chain gks arm=ks gpu=1 rounds='1 2 3 4 5 6 7 '
 [08-07 19:20] chain gnb arm=nbs gpu=0 rounds='1 2 3 4 5 6 7 '
+[08-07 21:56] ===== gemma panel on GPUs 2 3 =====
+[08-07 21:56] chain gks arm=ks gpu=2 rounds='1 2 3 4 5 6 7 '
+[08-07 21:56] chain gnb arm=nbs gpu=3 rounds='1 2 3 4 5 6 7 '
+[08-07 21:58] ===== gemma panel on GPUs 2 3 =====
+[08-07 21:58] chain gsp arm=simpo gpu=2 rounds='1 2 3 4 5 6 7 '
+[08-07 21:58] chain ghc arm=htmnpo_coherence gpu=3 rounds='1 2 3 4 5 6 7 '