wehub-resource-sync
48 lines
1.4 KiB
Bash
48 lines
1.4 KiB
Bash
# OPSD Fixed Teacher Mode (Self-Distillation) - Megatron
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# Paper: Self-Distilled Reasoner (arXiv:2601.18734)
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# Teacher = base model (disable_adapter), Student = LoRA-adapted model
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# Dataset: open-r1/OpenThoughts-114k-math
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# Model: Qwen3-4B
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#
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# Hyperparameters aligned with paper's run_opsd.sh:
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# lr=2e-5, lora_r=64, lora_alpha=128, temp=1.2, beta=0.5, lmbda=1, effective batch=32
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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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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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megatron rlhf \
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--rlhf_type gkd \
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--model Qwen/Qwen3-4B \
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--teacher_model Qwen/Qwen3-4B \
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--external_plugins examples/train/rlhf/opsd/opsd_plugin.py \
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--dataset 'open-r1/OpenThoughts-114k-math' \
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--use_vllm true \
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--vllm_mode colocate \
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--vllm_gpu_memory_utilization 0.6 \
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--vllm_max_model_len 10240 \
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--tuner_type lora \
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--lora_rank 64 \
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--lora_alpha 128 \
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--sleep_level 1 \
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--lmbda 1.0 \
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--beta 0.5 \
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--temperature 1.2 \
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--sft_alpha 0 \
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--torch_dtype bfloat16 \
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--micro_batch_size 2 \
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--global_batch_size 32 \
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--train_iters 1000 \
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--lr 2e-5 \
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--save_steps 100 \
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--save_total_limit 10 \
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--logging_steps 1 \
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--max_length 8192 \
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--max_completion_length 2048 \
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--tensor_model_parallel_size 1 \
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--pipeline_model_parallel_size 1 \
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--attention_backend flash \
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--recompute_granularity selective \
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--finetune \
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--no_save_optim \
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--no_save_rng
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