wehub-resource-sync
59 lines
1.9 KiB
Bash
59 lines
1.9 KiB
Bash
# 8 * 80G
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# docs: https://swift.readthedocs.io/en/latest/Instruction/GRPO/AdvancedResearch/deepeyes.html
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# First: Deploy Qwen2.5-VL-72B-Instruct for verify
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# CUDA_VISIBLE_DEVICES=4,5,6,7 \
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# swift deploy \
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# --model Qwen/Qwen2.5-VL-72B-Instruct \
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# --vllm_tensor_parallel_size 4
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# Second: Run swift rollout to deploy rollout server
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# MAX_PIXELS=602112 \
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# CUDA_VISIBLE_DEVICES=3 \
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# swift rollout \
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# --model Qwen/Qwen2.5-VL-7B-Instruct \
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# --vllm_use_async_engine true \
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# --external_plugins examples/train/grpo/plugin/deepeyes/deepeyes_plugin.py \
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# --multi_turn_scheduler deepeyes_scheduler \
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# --vllm_max_model_len 8192 \
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# --vllm_gpu_memory_utilization 0.8 \
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# --max_turns 5
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# Third: Run swift rlhf to train GRPO model
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MAX_PIXELS=602112 \
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CUDA_VISIBLE_DEVICES=0,1,2 \
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NPROC_PER_NODE=3 \
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swift rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen2.5-VL-7B-Instruct \
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--dataset "path/to/data_0.1.2_visual_toolbox_v2.parquet"\
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"path/to/data_v0.8_visual_toolbox_v2.parquet"\
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"path/to/data_thinklite_reasoning_acc.parquet" \
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--load_from_cache_file true \
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--use_vllm true \
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--vllm_mode server \
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--vllm_server_host 127.0.0.1 \
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--vllm_server_port 8001 \
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--offload_optimizer true \
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--offload_model true \
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--sleep_level 1 \
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--external_plugins examples/train/grpo/plugin/deepeyes/deepeyes_plugin.py \
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--reward_funcs deepeyes_reward \
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--tuner_type full \
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--torch_dtype bfloat16 \
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--max_completion_length 2048 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \
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--deepspeed zero3 \
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--learning_rate 1e-6 \
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--gradient_accumulation_steps 4 \
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--logging_steps 5 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--dataset_num_proc 4 \
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--num_generations 12 \
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--beta 0 \
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--temperature 0.9 \
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--report_to tensorboard swanlab \
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--log_completions true
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