wehub-resource-sync
49 lines
1.3 KiB
Bash
Executable File
49 lines
1.3 KiB
Bash
Executable File
# pip install math_verify # reward function
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# GPU memory: 8 * 80GiB
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MAX_PIXELS=602112 \
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WANDB_API_KEY=xxx \
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
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NPROC_PER_NODE=8 \
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swift rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen2.5-VL-72B-Instruct \
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--tuner_type lora \
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--use_vllm true \
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--vllm_mode colocate \
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--vllm_gpu_memory_utilization 0.5 \
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--vllm_max_model_len 8192 \
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--vllm_tensor_parallel_size 4 \
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--dataset lmms-lab/multimodal-open-r1-8k-verified#1000 \
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--load_from_cache_file true \
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--external_plugins examples/train/grpo/plugin/plugin.py \
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--reward_funcs external_r1v_acc format \
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--reward_weights 1 0.1 \
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--torch_dtype bfloat16 \
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--attn_impl flash_attn \
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--num_train_epochs 1 \
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--max_length 8192 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--gradient_accumulation_steps 1 \
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--eval_steps 500 \
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--save_steps 500 \
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--learning_rate 1e-6 \
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--save_total_limit 2 \
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--logging_steps 1 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--max_completion_length 2048 \
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--num_generations 8 \
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--deepspeed zero3 \
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--temperature 1.1 \
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--top_p 1.0 \
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--top_k 80 \
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--log_completions true \
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--offload_optimizer true \
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--offload_model true \
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--move_model_batches 40 \
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--sleep_level 1 \
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--report_to wandb \
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--system examples/train/grpo/prompt.txt
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