wehub-resource-sync
64 lines
2.4 KiB
Bash
64 lines
2.4 KiB
Bash
export OMP_NUM_THREADS=8
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export NCCL_IB_DISABLE=0
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export NCCL_IB_GID_INDEX=3
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# export NCCL_IB_HCA=${ARNOLD_RDMA_DEVICE}
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export NCCL_SOCKET_IFNAME=eth0
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export NCCL_DEBUG=INFO
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VISION_MODEL_VERSION="openai/clip-vit-large-patch14-336"
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VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
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############### Pretrain ################
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# Stage 2
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PROMPT_VERSION="qwen_1_5"
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#torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \
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ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \
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llava/train/train_dpo.py \
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--deepspeed scripts/zero3.json \
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--model_name_or_path lmms-lab/LongVA-7B \
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--version $PROMPT_VERSION \
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--dpo_alpha 1.0 --beta 0.1 --gamma 0 \
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--data_path="/data/llava_video/shareVideoGPTV/dpo/sft_dpo_17k.jsonl" \
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--image_folder /data/llava_data \
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--video_folder /llava_video/shareVideoGPTV/frames/all_frames/ \
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--mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \
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--vision_tower ${VISION_MODEL_VERSION} \
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--mm_projector_type mlp2x_gelu \
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--mm_vision_select_layer -2 \
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--mm_use_im_start_end False \
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--mm_use_im_patch_token False \
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--mm_spatial_pool_stride 2 \
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--mm_resampler_type "spatial_pool" \
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--mm_spatial_pool_out_channels 1024 \
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--group_by_modality_length True \
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--image_aspect_ratio anyres \
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--image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \
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--mm_patch_merge_type unires \
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--bf16 True \
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--run_name $MID_RUN_NAME \
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--output_dir "/checkpoints/${MID_RUN_NAME}" \
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--num_train_epochs 3 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 16 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 3000 \
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--save_total_limit 1 \
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--learning_rate 5e-7 \
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--weight_decay 0. \
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--warmup_ratio 0.1 \
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--lr_scheduler_type "linear" \
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--logging_steps 1 \
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--tf32 True \
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--model_max_length 32768 \
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--gradient_checkpointing True \
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--dataloader_num_workers 16 \
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--lazy_preprocess True \
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--report_to wandb \
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--torch_compile True \
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--torch_compile_backend "inductor" \
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--dataloader_drop_last True \
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--attn_implementation sdpa |