Initial commit

2025-04-13 09:30:46 +08:00
commit 4f8972e88a
248 changed files with 34689 additions and 0 deletions
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+export OMP_NUM_THREADS=8
+export NCCL_IB_DISABLE=0
+export NCCL_IB_GID_INDEX=3
+export NCCL_SOCKET_IFNAME=eth0
+export NCCL_DEBUG=INFO
+VISION_MODEL_VERSION="google/siglip-so400m-patch14-384"
+VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
+
+############### Pretrain ################
+
+BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain"
+echo "BASE_RUN_NAME: ${BASE_RUN_NAME}"
+
+############### Finetune ################
+MIXTURE="qwen"
+
+# Stage 2
+PROMPT_VERSION="qwen_vla"
+RUN_NAME="llava-openvla-${MIXTURE}" 
+PREV_STAGE_CHECKPOINT="/mnt/d/temp/huggingface/hub/llava_qwen_vla" 
+# PREV_STAGE_CHECKPOINT="/mnt/d/ckpt/llava-openvla-qwen"
+echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}"
+echo "MID_RUN_NAME: ${RUN_NAME}"
+
+NUM_GPUS=1
+NNODES=1
+
+ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" \
+    llava/train/train_mem.py \
+    --deepspeed scripts/zero2.json \
+    --model_name_or_path $PREV_STAGE_CHECKPOINT \
+    --version $PROMPT_VERSION \
+    --data_path /root/code/openvla-llava/LLaVA-Next/scripts/train/vla.yaml \
+    --image_folder /root/code/openvla-llava/LLaVA-Next/images \
+    --mm_tunable_parts="mm_language_model" \
+    --mm_vision_tower_lr=2e-6 \
+    --vision_tower google/siglip-so400m-patch14-384 \
+    --mm_projector_type mlp2x_gelu \
+    --mm_vision_select_layer -2 \
+    --mm_use_im_start_end False \
+    --mm_use_im_patch_token False \
+    --group_by_modality_length True \
+    --image_aspect_ratio anyres_max_9 \
+    --image_grid_pinpoints  "(1x1),...,(6x6)" \
+    --mm_patch_merge_type spatial_unpad \
+    --bf16 True \
+    --run_name $RUN_NAME \
+    --output_dir /mnt/d/ckpt_3_28/$RUN_NAME \
+    --num_train_epochs 5 \
+    --per_device_train_batch_size 8 \
+    --per_device_eval_batch_size 100 \
+    --gradient_accumulation_steps 2 \
+    --evaluation_strategy "no" \
+    --save_strategy "steps" \
+    --save_steps 900 \
+    --save_total_limit 2 \
+    --learning_rate 1e-4 \
+    --weight_decay 0. \
+    --warmup_ratio 0.03 \
+    --lr_scheduler_type "cosine" \
+    --logging_steps 1 \
+    --tf32 True \
+    --model_max_length 4096 \
+    --gradient_checkpointing True \
+    --dataloader_num_workers 1 \
+    --lazy_preprocess True \
+    --report_to wandb \
+    --torch_compile True \
+    --torch_compile_backend "inductor" \
+    --dataloader_drop_last True \
+    --frames_upbound 1
+exit 0;
+
+# You can delete the sdpa attn_implementation if you want to use flash attn