update code file
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@@ -3,22 +3,11 @@ export NCCL_IB_DISABLE=0
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export NCCL_IB_GID_INDEX=3
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export NCCL_SOCKET_IFNAME=eth0
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export NCCL_DEBUG=INFO
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VISION_MODEL_VERSION="google/siglip-so400m-patch14-384"
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VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
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############### Pretrain ################
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BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain"
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echo "BASE_RUN_NAME: ${BASE_RUN_NAME}"
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############### Finetune ################
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MIXTURE="qwen"
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# Stage 2
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PROMPT_VERSION="qwen_vla"
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RUN_NAME="llava-openvla-${MIXTURE}"
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PREV_STAGE_CHECKPOINT="/mnt/d/temp/huggingface/hub/llava_qwen_vla"
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# PREV_STAGE_CHECKPOINT="/mnt/d/ckpt/llava-openvla-qwen"
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RUN_NAME="openvla-${MIXTURE}"
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PREV_STAGE_CHECKPOINT="models"
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echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}"
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echo "MID_RUN_NAME: ${RUN_NAME}"
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@@ -30,8 +19,8 @@ ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NN
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--deepspeed scripts/zero2.json \
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--model_name_or_path $PREV_STAGE_CHECKPOINT \
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--version $PROMPT_VERSION \
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--data_path /root/code/openvla-llava/LLaVA-Next/scripts/train/vla.yaml \
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--image_folder /root/code/openvla-llava/LLaVA-Next/images \
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--data_path scripts/train/vla.yaml \
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--image_folder /images \
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--mm_tunable_parts="mm_language_model" \
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--mm_vision_tower_lr=2e-6 \
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--vision_tower google/siglip-so400m-patch14-384 \
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@@ -45,7 +34,7 @@ ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NN
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--mm_patch_merge_type spatial_unpad \
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--bf16 True \
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--run_name $RUN_NAME \
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--output_dir /mnt/d/ckpt_3_28/$RUN_NAME \
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--output_dir /$RUN_NAME \
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--num_train_epochs 5 \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 100 \
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@@ -70,5 +59,3 @@ ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NN
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--dataloader_drop_last True \
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--frames_upbound 1
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exit 0;
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# You can delete the sdpa attn_implementation if you want to use flash attn
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