Comments (3)
liangwq
commented on August 17, 2024
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.
2023March
commented on August 17, 2024
怎么设置长度呀？ 哪个参数
from chatglm_lora_multi-gpu.
rucieryi369
commented on August 17, 2024
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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