Comments (3)
多次遇到数据集比较大, 导致服务器内存不够问题。 请问作者有办法改成 hugging face 的datasets 用流失数据加载么?
内存196G,cpu 32核, GPU 8 v100-32G .
是batch化的训练的,你可以把batch调小点、把长度调小点;后面会做bit优化,让更小内存也能训
from chatglm_lora_multi-gpu.
怎么设置长度呀? 哪个参数
from chatglm_lora_multi-gpu.
multi_gpu_fintune_belle.py中的MAX_LENGTH是长度设置,--per_device_train_batch_size是batch的设置
from chatglm_lora_multi-gpu.
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from chatglm_lora_multi-gpu.