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# wandb result link: https://wandb.ai/tastelikefeet/tastelikefeet?nw=nwuseryuzezyz
# model link: https://www.modelscope.cn/models/swift/Qwen2-7B-Agent-GRPO
# WANDB_API_KEY=xxx \
NPROC_PER_NODE=7 \
swift rlhf \
--rlhf_type grpo \
--model Qwen/Qwen2.5-7B \
--train_type full \
--dataset LLM-Research/xlam-function-calling-60k \
--torch_dtype bfloat16 \
--num_train_epochs 1 \
--max_length 2048 \
--per_device_train_batch_size 7 \
--per_device_eval_batch_size 7 \
--eval_steps 2000 \
--save_steps 2000 \
--learning_rate 1e-6 \
--save_total_limit 2 \
--logging_steps 5 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--max_completion_length 1024 \
--reward_funcs toolbench react_format \
--num_generations 49 \
--use_vllm true \
--vllm_gpu_memory_utilization 0.7 \
--deepspeed zero3 \
--temperature 1.0 \
--stop_words Observation: \
--agent_template react_grpo \
--top_p 0.85 \
--top_k 50 \
--log_completions true \
--report_to wandb
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