We profile the GPU memory and training speed of both LoRA (LoRA (emb) refers to training the embedding and output layer, while LoRA has no trainable embedding and output layer) and Q-LoRA in the setup of single-GPU training. In this test, we experiment on a single A100-SXM4-80G GPU,...
シングルGPUトレーニングのセットアップにおいて、LoRA (LoRA(emb)はembeddingと出力層を学習させるが、LoRAはembeddingと出力層を学習させない) とQ-LoRAのGPUメモリとトレーニング速度をプロファイリングする。このテストでは、シングルA100-SXM4-80G GPUで実験し、CUDA 11.8とPytorch 2.0を使用...
给定一个文档D, Step1, 提取所有的候选关键短语,方法是遍历所有的n-gram, 用hierarchical架构来建模ngram表示:首先用预训练的语言模型如bert对文档D的词生成词嵌入H={h1,h2,...,hn};然后遍历ngram,用CNN把ngram的word emb集成到一个phrase embedding(g_i_k=CNN_k(h_i, ..., h_i+k-1)), Step2, ...
We profile the GPU memory and training speed of both LoRA (LoRA (emb) refers to training the embedding and output layer, while LoRA has no trainable embedding and output layer) and Q-LoRA in the setup of single-GPU training. In this test, we experiment on a single A100-SXM4-80G GPU,...