Upload sft_8frames.sh

sft_8frames.sh

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+#!/bin/bash
+# Set default values for distributed training parameters
+# 禁用WandB
+export WANDB_DISABLED=true
+# ===== GPU配置参数 =====
+# export CUDA_VISIBLE_DEVICES=0,1,2,3  # 使用4张GPU
+export CUDA_VISIBLE_DEVICES=0  # GPU编号
+export GPUS_PER_NODE=1               # 每个节点GPU数量
+export n_node=1                      # 单节点
+    export CURRENT_RANK=0                # 当前节点rank
+    export MASTER_ADDR="localhost"       # 主节点地址
+    export MASTER_PORT=48057             # 主节点端口
+
+llama3_model_path="/home/user/NaVILA/checkpoints/navila-llama3-8b-8f"
+GEOMETRY_ENCODER_TYPE="pi3"
+GEOMETRY_ENCODER_PATH="/home/user/NaVILA/checkpoints/Pi3"
+# GEOMETRY_ENCODER_TYPE="vggt"
+# GEOMETRY_ENCODER_PATH="/home/user/NaVILA/checkpoints/VGGT-1B"
+
+OUTPUT="/home/user/NaVILA/sft_8frames"
+
+# 检查是否有检查点可以resume
+if [ -d "$OUTPUT" ] && [ "$(ls -A $OUTPUT | grep -E 'tmp-checkpoint-|checkpoint-')" ]; then
+    echo "Found existing checkpoints, will resume from the latest one"
+    # 找到最新的检查点
+    LATEST_CHECKPOINT=$(ls -t $OUTPUT | grep -E 'tmp-checkpoint-|checkpoint-' | head -1)
+    RESUME_PATH="$OUTPUT/$LATEST_CHECKPOINT"
+    echo "Resuming from: $RESUME_PATH"
+    # 不删除输出目录，让训练自动resume
+else
+    echo "No existing checkpoints found, starting fresh training"
+    # rm -rf /home/user/NaVILA/output*
+    RESUME_PATH="$llama3_model_path"
+fi
+
+torchrun --nnodes=$n_node --nproc_per_node=$GPUS_PER_NODE --master_port=$MASTER_PORT \
+    --master_addr $MASTER_ADDR --node_rank=$CURRENT_RANK \
+    llava/train/train_mem.py \
+    --longvila_sampler True \
+    --deepspeed ./scripts/zero3.json \
+    --model_name_or_path $RESUME_PATH \
+    --version llama_3 \
+    --seed 3407 \
+    --data_mixture r2r+rxr \
+    --vision_tower google/siglip-so400m-patch14-384 \
+    --mm_vision_select_feature cls_patch \
+    --mm_projector mlp_downsample \
+    --num_video_frames 16 \
+    --tune_vision_tower False \
+    --tune_mm_projector True \
+    --tune_language_model True \
+    --mm_vision_select_layer -2 \
+    --mm_use_im_start_end False \
+    --mm_use_im_patch_token False \
+    --image_aspect_ratio resize \
+    --bf16 True \
+    --output_dir $OUTPUT \
+    --num_train_epochs 5 \
+    --per_device_train_batch_size 10 \
+    --gradient_accumulation_steps 2 \
+    --do_eval False \
+    --save_strategy "steps" \
+    --save_steps 2000 \
+    --fps 0.0 \
+    --save_total_limit 10 \
+    --learning_rate 1e-4 \
+    --mm_projector_lr 1e-5 \
+    --geometry_merger_lr 1e-4 \
+    --feature_fusion_lr 1e-4 \
+    --llm_lr 1e-6 \
+    --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 16 \
+    --lazy_preprocess True \
+    --report_to tensorboard \
+    --logging_dir $OUTPUT/runs \
+    --use_geometry_encoder True \
+    --geometry_encoder_type $GEOMETRY_ENCODER_TYPE \
+    --geometry_encoder_path $GEOMETRY_ENCODER_PATH \
+    --feature_fusion_method "residual" \
+    --voxel_size 0.2 \