File size: 1,946 Bytes
f0d6538 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | #!/bin/bash
set -ex
CONDA_TORCHRUN=/mlx/users/jiashuo.fan/miniconda3/envs/abbie/bin/torchrun
export DISABLE_ZB=1
export USE_DETERMINISTIC_BACKWARD=0
export TORCH_NCCL_ENABLE_MONITORING=0
export WANDB_MODE=disabled
export WANDB_DISABLED=true
export UCX_ERROR_SIGNALS=""
export NCCL_IB_DISABLE=0
export UCX_TLS=rc,sm,self
cd /opt/tiger/Abbie
DATA_PATHS='[["/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat","100%"]]'
MODEL_PATH=/home/tiger/.cache/TiViLa-Qwen3-VL-8B-Instruct-Compliance
PROJNAME=qwen3_vl_cpt
EXPNAME=new_policy7w_v2_reformat
OUTDIR=/mnt/bn/bohanzhainas1/jiashuo/exp/new_policy7w_v2_reformat
LOG_DIR=/mlx/users/jiashuo.fan/playground/.claude/run_multinode_$(date +%Y%m%d_%H%M%S)
mkdir -p "$LOG_DIR"
echo "Node rank: ${ARNOLD_ID}, Nodes: ${ARNOLD_WORKER_NUM}, Master: ${METIS_WORKER_0_HOST}:${METIS_WORKER_0_PORT}"
echo "Logs: $LOG_DIR"
$CONDA_TORCHRUN \
--nproc_per_node=${ARNOLD_WORKER_GPU} \
--nnodes=${ARNOLD_WORKER_NUM} \
--node_rank=${ARNOLD_ID} \
--master_addr=${METIS_WORKER_0_HOST} \
--master_port=${METIS_WORKER_0_PORT} \
--log-dir="$LOG_DIR" \
tivila_trainer.py \
model.pretrained_path=${MODEL_PATH} \
optim.lr="1e-5" \
optim.visual_lr="1e-5" \
optim.lr_warmup_steps_ratio=0.03 \
trainer.output_path=${OUTDIR} \
trainer.project_name=${PROJNAME} \
trainer.experiment_name=${EXPNAME} \
trainer.log_interval=10 \
trainer.checkpoint_interval=850 \
trainer.checkpoint_hf_model=true \
data.patterns=${DATA_PATHS} \
data.transform_extra_kwargs.image_max_pixels=16777216 \
data.transform_extra_kwargs.video_max_pixels=307200 \
data.transform_extra_kwargs.video_max_frames=32 \
data.max_seq_len=8192 \
data.is_continuous_batch=true \
data.num_training_steps=99999999 \
data.chunks_per_step=4 \
model.recompute_attn=true \
model.activation_offloading=true \
model.visual_activation_offloading=true
|