wehub-resource-sync
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
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os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'expandable_segments:True'
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if __name__ == '__main__':
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from swift.megatron import MegatronRLHFArguments, megatron_rlhf_main
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megatron_rlhf_main(
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MegatronRLHFArguments(
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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=True,
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no_save_optim=True,
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no_save_rng=True,
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))
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