Describe the issue I’m encountering a RuntimeError: expected scalar type BFloat16 but found Float error during fine-tuning LLAVA with LoRA enabled. This error occurs when I run the model on a machine with relatively small GPUs, which is ...
大模型微调(finetune)方法总结-LoRA,Adapter,Prefix-tuning,P-tuning,Prompt-tuning 发布于 2023-06-14 20:10・IP 属地北京 喜欢 分享收藏 举报 写下你的评论... 暂无评论登录知乎,您可以享受以下权益: 更懂你的优质内容 更专业的大咖答主 更深度的互动交流 更高效的创作环境立即登录/注册 ...
动机:LoRA的低秩限制了其记忆能力,设输入维数为d,输出维数为k,LoRA的秩为r,一共有r*(d+k)的参数,最高的秩应该是r' = sqrt(r*(d+k))才对,把LoRA的rank提高到r'或许能提高它的记忆能力。 方法:框架如图一上方所示,可训练参数为一个r' x r'的方阵M,前后有两个非参的降维和升维模块comp和decomp。关...
Global Batch Size = num of GPUs * per_device_train_batch_size * gradient_accumulation_steps, we recommand you always keep global batch size and learning rate as above except for lora tuning your model. conv_version is a hyperparameter used for choosing different chat templates for different ...
随着大模型的飞速发展,在短短一年间就有了大幅度的技术迭代更新,从LORA、QLORA.AdaLoRa、ZeroQuant、Flash Attention、KTO、PPO、DPO、蒸馏技术到模型增量学习数据处理、开源模型的理解等,几乎每天都有新的发展。.✨那什么是大模型微调?大模型微调(Fine-tuning)是指在已经预训练好的大型语言模型基础上,使用特定的...
Global Batch Size = num of GPUs * per_device_train_batch_size * gradient_accumulation_steps, we recommand you always keep global batch size and learning rate as above except for lora tuning your model. conv_version is a hyperparameter used for choosing different chat templates for different ...