| ./move.sh | |
| cd src/r1-v | |
| export DEBUG_MODE="true" # Enable Debug if you want to see the rollout of model during RL | |
| export LOG_PATH="./debug_log_2b.txt" | |
| CUDA_VISIBLE_DEVICES=0,1,2,3 torchrun --nproc_per_node="4" \ | |
| --nnodes="1" \ | |
| --node_rank="0" \ | |
| --master_addr="127.0.0.1" \ | |
| --master_port="12349" \ | |
| src/open_r1/sft_video.py \ | |
| --output_dir "./log/Qwen2.5-VL-3B-Video-3B-cot-sft" \ | |
| --model_name_or_path "Qwen/Qwen2.5-VL-3B-Instruct" \ | |
| --dataset_name "./Video-R1-data/Video-R1-COT-165k.json" \ | |
| --deepspeed local_scripts/zero2_1.json \ | |
| --per_device_train_batch_size 1 \ | |
| --gradient_accumulation_steps 2 \ | |
| --learning_rate 1e-6 \ | |
| --logging_steps 1 \ | |
| --bf16 \ | |
| --report_to wandb \ | |
| --gradient_checkpointing true \ | |
| --attn_implementation flash_attention_2 \ | |
| --num_train_epochs 1 \ | |
| --run_name Qwen2.5-VL-3B-Video-cot-sft \ | |
| --save_steps 1000 \ | |
| --max_grad_norm 5 \ | |
| --save_only_model true \ | |
| python /cq_1/share_1603164/user/zongxia/workspace/gpu_burn.py |