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SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 4
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 3
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 0
GPUS_PER_NODE = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 6
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 5
DEFAULT_LEARNING_RATE: 2e-5
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 1
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 2
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038254
SLURM_JOB_NAME = nvr_elm_llm:train/NVILA-Lite-8B-quantumn-qa-train
RUN_NAME = NVILA-Lite-8B-quantumn-qa-train
OUTPUT_DIR = runs/train/NVILA-Lite-8B-quantumn-qa-train
NNODES = 8
NODES = pool0-01504 pool0-01641 pool0-02076 pool0-01787 pool0-02443 pool0-02338 pool0-02349 pool0-02374
NODE_RANK = 7
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 2048
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 8
DEFAULT_LEARNING_RATE: 2e-5
[2025-07-01 08:54:00,867] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:00,974] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,467] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,563] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,572] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,576] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,592] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,592] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,612] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,764] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,764] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,769] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,775] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,779] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,783] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,847] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,880] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,960] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:01,962] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,013] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,021] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,035] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,048] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,054] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,099] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,101] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,102] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,114] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,145] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,187] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,188] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,189] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,193] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,194] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,265] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,373] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,373] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,383] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,383] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,387] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,389] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,656] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,664] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,693] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,731] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,756] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,756] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,776] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,782] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,785] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,788] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,791] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,835] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,839] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,841] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:02,851] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,212] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,212] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,217] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,217] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,245] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,247] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,247] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:03,254] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 08:54:04,150] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,150] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,274] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,274] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,839] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,839] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,847] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,847] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,895] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,895] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,913] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,913] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:04,932] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:04,932] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,228] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,229] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,229] [INFO] [comm.py:625:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[2025-07-01 08:54:05,261] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,261] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,276] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,276] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,281] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,281] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,286] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,286] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,287] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,287] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,292] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,293] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,293] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,293] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,295] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,295] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,297] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,297] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,303] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,303] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,303] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,303] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,340] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,340] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,391] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,391] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,391] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,391] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,392] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,392] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,393] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,393] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,395] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,395] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,429] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,429] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,462] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,462] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,478] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,478] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,539] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,539] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,575] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,575] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,684] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,685] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,698] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,698] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,801] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,801] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,816] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,817] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,843] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,843] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,862] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,862] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,965] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,965] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,994] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,995] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:05,997] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:05,997] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,071] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,071] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,124] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,124] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,126] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,126] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,131] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,131] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,149] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,149] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,173] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,173] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,186] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,186] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,217] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,217] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,236] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,236] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,269] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,269] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,278] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,278] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,285] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,285] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,289] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,289] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,291] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,291] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,299] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,299] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,302] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,302] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,313] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,313] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,539] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,539] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,666] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,666] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,687] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,687] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,691] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,691] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,711] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,711] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,729] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,730] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,735] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,735] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:06,776] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 08:54:06,776] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 08:54:23,138] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 7.61B parameters
[2025-07-01 08:54:31,001] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 8.03B parameters
[2025-07-01 08:54:31,607] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 8.09B parameters
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
[dist-0-of-64] LlavaLlamaModel(
(llm): Qwen2ForCausalLM(
(model): Qwen2Model(
(embed_tokens): Embedding(151648, 3584)
(layers): ModuleList(
(0-27): 28 x Qwen2DecoderLayer(
(self_attn): Qwen2FlashAttention2(
(q_proj): Linear(in_features=3584, out_features=3584, bias=True)
(k_proj): Linear(in_features=3584, out_features=512, bias=True)
(v_proj): Linear(in_features=3584, out_features=512, bias=True)
(o_proj): Linear(in_features=3584, out_features=3584, bias=False)
(rotary_emb): Qwen2RotaryEmbedding()
)
(mlp): Qwen2MLP(
(gate_proj): Linear(in_features=3584, out_features=18944, bias=False)
(up_proj): Linear(in_features=3584, out_features=18944, bias=False)
(down_proj): Linear(in_features=18944, out_features=3584, bias=False)
(act_fn): SiLU()
)
(input_layernorm): Qwen2RMSNorm((0,), eps=1e-06)
(post_attention_layernorm): Qwen2RMSNorm((0,), eps=1e-06)
)
)
(norm): Qwen2RMSNorm((0,), eps=1e-06)
(rotary_emb): Qwen2RotaryEmbedding()
)
(lm_head): Linear(in_features=3584, out_features=151648, bias=False)
)
(vision_tower): SiglipVisionTower(
(vision_tower): SiglipVisionModel(
(vision_model): SiglipVisionTransformer(
(embeddings): SiglipVisionEmbeddings(
(patch_embedding): Conv2d(3, 1152, kernel_size=(14, 14), stride=(14, 14), padding=valid)
(position_embedding): Embedding(1024, 1152)
)
(encoder): SiglipEncoder(
(layers): ModuleList(
(0-26): 27 x SiglipEncoderLayer(
(self_attn): SiglipFlashAttention2(
(k_proj): Linear(in_features=1152, out_features=1152, bias=True)
(v_proj): Linear(in_features=1152, out_features=1152, bias=True)
(q_proj): Linear(in_features=1152, out_features=1152, bias=True)
(out_proj): Linear(in_features=1152, out_features=1152, bias=True)
)
(layer_norm1): LayerNorm((1152,), eps=1e-06, elementwise_affine=True)
(mlp): SiglipMLP(
(activation_fn): PytorchGELUTanh()
(fc1): Linear(in_features=1152, out_features=4304, bias=True)
(fc2): Linear(in_features=4304, out_features=1152, bias=True)
)
(layer_norm2): LayerNorm((1152,), eps=1e-06, elementwise_affine=True)
)
)
)
(post_layernorm): LayerNorm((1152,), eps=1e-06, elementwise_affine=True)
)
)
)
(mm_projector): MultimodalProjector(
(layers): Sequential(
(0): DownSample3x3BlockFix()
(1): LayerNorm((10368,), eps=1e-05, elementwise_affine=True)
(2): Linear(in_features=10368, out_features=3456, bias=True)
(3): GELU(approximate='none')
(4): LayerNorm((3456,), eps=1e-05, elementwise_affine=True)
(5): Linear(in_features=3456, out_features=3584, bias=True)
(6): GELU(approximate='none')
(7): Linear(in_features=3584, out_features=3584, bias=True)
)
)
)
[dist-0-of-64] Tunable parameters:
language model True
[dist-0-of-64] vision tower True
[dist-0-of-64] mm projector True
trainable params: 8,087,063,152 || all params: 8,087,063,152 || trainable%: 100.0000
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length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 44: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.2750883102417s
[2025-07-01 08:57:05] Rank 22: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.0400447845459s
[2025-07-01 08:57:05] Rank 41: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.36503434181213s
[2025-07-01 08:57:05] Rank 29: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.6715350151062s
[2025-07-01 08:57:05] Rank 9: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.794335603714s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 47: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.25037503242493s
[2025-07-01 08:57:05] Rank 53: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.32664608955383s
[2025-07-01 08:57:05] Rank 26: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.59264469146729s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 0: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.4588851928711s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 25: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.56515669822693s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 10: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.8198959827423s
[2025-07-01 08:57:05] Rank 33: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.61562252044678s
[2025-07-01 08:57:05] Rank 55: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.15942478179932s
length of dataloader: 28 14336
[2025-07-01 08:57:05] Rank 39: Timer for terminate callback has been set.
Total limit: 240min
[GPU memory] before trainer 2.292407512664795
Pre terminate time: 10min elapsed_time: 179.74457502365112s
[2025-07-01 08:57:05] Rank 15: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 181.5756447315216s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 49: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.26583528518677s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 11: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.88644003868103s
[2025-07-01 08:57:05] Rank 60: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.95006847381592s
[2025-07-01 08:57:05] Rank 61: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.19447827339172s
length of dataloader: 28 14336
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 45: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.3910529613495s
[2025-07-01 08:57:05] Rank 58: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.2317771911621s
[2025-07-01 08:57:05] Rank 32: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.3425772190094s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 36: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.71157217025757s
[2025-07-01 08:57:05] Rank 28: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.64928483963013s
[2025-07-01 08:57:05] Rank 20: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.196674823761s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 57: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.0103840827942s
[2025-07-01 08:57:05] Rank 2: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.53355860710144s
[2025-07-01 08:57:05] Rank 19: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.20799660682678s
length of dataloader: 28 14336
length of dataloader: [GPU memory] before trainer28 14336
2.292407512664795
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 43: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.38389587402344s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 3: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.54649567604065s
[2025-07-01 08:57:05] Rank 52: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.3105661869049s
[2025-07-01 08:57:05] Rank 5: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.55701327323914s
[2025-07-01 08:57:05] Rank 54: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.3739037513733s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 17: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.306396484375s
[2025-07-01 08:57:05] Rank 16: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.22698402404785s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 4: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.58894228935242s
length of dataloader: 28 14336
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 38: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.79484272003174s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 23: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.23841524124146s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 35: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 179.92344903945923s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 56: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.1525583267212s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 48: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.58931589126587s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
[2025-07-01 08:57:05] Rank 7: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.75982356071472s
[2025-07-01 08:57:06] Rank 63: Timer for terminate callback has been set.
Total limit: 240min
Pre terminate time: 10min elapsed_time: 180.29284620285034s
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
length of dataloader: 28 14336
[GPU memory] before trainer 2.292407512664795
Parameter Offload: Total persistent parameters: 771184 in 421 params
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