Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning - 代码天地

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

企业开发 2023-07-11 21:24:17 阅读次数: 0

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转载自blog.csdn.net/weixin_48185819/article/details/124398857

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

论文分享|《Universal Language Model Fine-tuning for Text Classificatio》

《Universal Language Model Fine-tuning for Text Classification》翻译

将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》

【论文笔记】ULMFiT——Universal Language Model Fine-tuning for Text Classification

Re73 读论文：ULMFiT Universal Language Model Fine-tuning for Text Classification

Fine-Tuning Language Models from Human Preferences

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

caffe image recognization model and prototxt for transfer learning (fine-tuning)

Neural Network Dynamics for Model-Based Deep Reinforcement Learniing with Model-Free Fine-Tuning

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

【论文笔记】BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Language Model

Fine-tuning

什么是fine-tuning？

fine-tuning介绍

#论文阅读# Universial language model fine-tuing for text classification

模型微调fine-tuning

caffe中的fine-tuning

迁移学习/fine-tuning

fine-tuning（微调）的理解

language model and RNN

RNN Language Model 详解

【深度学习】：Language Model

Neural Network Language Model

【NLP】3 Language Model

A Neural Probabilistic Language Model

语言模型（language model）

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