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NVILA-Lite-8B-quantumn-qa-train
File size: 51,134 Bytes 
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SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 4
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 5
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 7
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 6
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 1
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 3
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 0
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
SLURM_JOB_ID = 1038303
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 pool0-01683 pool0-01722 pool0-01867 pool0-01881 pool0-01893 pool0-01919 pool0-01939 
NODE_RANK = 2
GPUS_PER_NODE = 8
MASTER_ADDR = pool0-01504
MASTER_PORT = 25001
GLOBAL_TRAIN_BATCH_SIZE = 1024
GRADIENT_ACCUMULATION_STEPS = 4
PER_DEVICE_TRAIN_BATCH_SIZE = 4
DEFAULT_LEARNING_RATE: 2e-5
[2025-07-01 09:21:22,856] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:22,972] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,111] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,563] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,735] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,799] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,799] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,803] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,847] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,855] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,856] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:23,911] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,002] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,003] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,019] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,021] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,028] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,030] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,113] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,232] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,243] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,247] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,251] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,253] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,311] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,311] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,328] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,330] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,332] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,369] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,369] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,370] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,371] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,372] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,376] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,424] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,429] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,442] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,446] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,452] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,465] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,518] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,542] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,543] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,563] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,564] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,579] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:24,587] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,700] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,700] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,775] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,790] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,791] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,792] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,864] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,901] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:25,906] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,124] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,215] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,241] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,247] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,306] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,306] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,313] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-07-01 09:21:26,339] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:26,339] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:26,459] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:26,459] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:26,560] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:26,561] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:26,944] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:26,944] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,281] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,281] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,322] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,322] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,339] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,339] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,459] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,459] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,513] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,513] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,516] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,516] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,549] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,549] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,571] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,571] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,582] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,583] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,583] [INFO] [comm.py:625:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[2025-07-01 09:21:27,616] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,617] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,621] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,621] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,623] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,624] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,636] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,636] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,637] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,637] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,643] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,643] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,661] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,661] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,662] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,662] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,679] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,680] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,798] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,799] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,828] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,828] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,854] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,854] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,856] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,856] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,862] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,862] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,865] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,865] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,890] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,890] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,892] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,892] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,930] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,931] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,932] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,932] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,975] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,975] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,984] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,984] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,986] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,986] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,988] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,988] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:27,990] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:27,990] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,007] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,007] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,034] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,034] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,054] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,054] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,056] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,056] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,114] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,114] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,186] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,186] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,277] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,277] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,330] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,330] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,361] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,361] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,409] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,410] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:28,424] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:28,424] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,112] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,112] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,152] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,153] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,158] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,158] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,181] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,181] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,378] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,379] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,436] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,436] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,474] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,474] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,528] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,528] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,605] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,605] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,635] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,635] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,709] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,709] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,775] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,775] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,782] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,782] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,784] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,784] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,786] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,786] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:29,786] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2025-07-01 09:21:29,786] [INFO] [comm.py:594:init_distributed] cdb=None
[2025-07-01 09:21:43,807] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 7.61B parameters
[2025-07-01 09:21:52,746] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 8.03B parameters
[2025-07-01 09:21:53,403] [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%: 100.0000
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%: 100.0000trainable 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
[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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Parameter Offload: Total persistent parameters: 771184 in 421 params
{'loss': 1.2648, 'grad_norm': 130.75577214745246, 'learning_rate': 2e-05, 'epoch': 0.08}
{'loss': 1.2283, 'grad_norm': 126.67616596972118, 'learning_rate': 1.9659258262890683e-05, 'epoch': 0.15}
[2025-07-01 09:25:57,641] [WARNING] [stage3.py:1850:step] 1 pytorch allocator cache flushes since last step. this happens when there is high memory pressure and is detrimental to performance. if this is happening frequently consider adjusting settings to reduce memory consumption. If you are unable to make the cache flushes go away consider adding get_accelerator().empty_cache() calls in your training loop to ensure that all ranks flush their caches at the same time
{'loss': 0.4188, 'grad_norm': 56.84219933724937, 'learning_rate': 1.866025403784439e-05, 'epoch': 0.23}
{'loss': 2.4789, 'grad_norm': 89.42666319016989, 'learning_rate': 1.7071067811865477e-05, 'epoch': 0.31}
{'loss': 0.7853, 'grad_norm': 72.41844398977439, 'learning_rate': 1.5000000000000002e-05, 'epoch': 0.38}
{'loss': 8.2197, 'grad_norm': 799.0148731599335, 'learning_rate': 1.2588190451025209e-05, 'epoch': 0.46}
{'loss': 0.3008, 'grad_norm': 34.525610403243014, 'learning_rate': 1e-05, 'epoch': 0.54}
{'loss': 0.3999, 'grad_norm': 64.98250527603693, 'learning_rate': 7.411809548974792e-06, 'epoch': 0.62}
{'loss': 0.2575, 'grad_norm': 11.46902235575636, 'learning_rate': 5.000000000000003e-06, 'epoch': 0.69}
[2025-07-01 09:28:31,764] [WARNING] [stage3.py:1850:step] 1 pytorch allocator cache flushes since last step. this happens when there is high memory pressure and is detrimental to performance. if this is happening frequently consider adjusting settings to reduce memory consumption. If you are unable to make the cache flushes go away consider adding get_accelerator().empty_cache() calls in your training loop to ensure that all ranks flush their caches at the same time
{'loss': 0.3174, 'grad_norm': 42.63293180170212, 'learning_rate': 2.9289321881345257e-06, 'epoch': 0.77}
{'loss': 0.3054, 'grad_norm': 40.64988981794197, 'learning_rate': 1.339745962155613e-06, 'epoch': 0.85}
{'loss': 0.2827, 'grad_norm': 27.588182133457394, 'learning_rate': 3.4074173710931804e-07, 'epoch': 0.92}
{'loss': 0.2751, 'grad_norm': 17.48926557604337, 'learning_rate': 0.0, 'epoch': 1.0}
saving llm to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/tmp-checkpoint-13/llm
saving vision_tower to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/tmp-checkpoint-13/vision_tower
saving mm_projector to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/tmp-checkpoint-13/mm_projector
{'train_runtime': 323.0635, 'train_samples_per_second': 41.206, 'train_steps_per_second': 0.04, 'train_loss': 1.2718768601234143, 'epoch': 1.0}
saving llm to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/llm
saving vision_tower to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/vision_tower
saving mm_projector to runs/train/NVILA-Lite-8B-quantumn-qa-train/model/mm_projector
wandb: 
wandb: 🚀 View run NVILA-Lite-8B-quantumn-qa-train at: https://wandb.ai/ligeng-zhu/vila/runs/NVILA-Lite-8B-quantumn-qa-train