Fine-Tuning Details 训练参数 cosine schedule 初始学习率 2 × 10−5 2 epochs weight decay 0.1 batch size 64 sequence length 4096 tokens 采用packing 方法,将训练数据中 prompts 和 answers 连接起来填充序列长度 用special token 来分隔 prompt 和 answer 自回归训练,不计算用户 prompt 的 loss,只在 answ...
Fine-tuning指的是为一个已经经过预训练的模型进行额外训练,以使其更好的适应某些特定的任务或数据集。
美 英 v.精密[仔细]调校;仔细[妥贴]安排 网络微调;精确调整;精细调整 第三人称单数:fine-tunes现在分词:fine-tuning过去式:fine-tuned 同义词 v. perfect,tweak,modify,adjust,tune 英汉 英英 网络释义 v. 1. 精密[仔细]调校;仔细[妥贴]安排 例句...
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简介:嵌入(Embedding)、微调(Fine-tuning)和提示工程(Prompt Engineering)是人工智能领域中重要的概念。本文将深入探讨它们的定义、工作原理和实际应用,旨在帮助读者更好地理解和应用这些技术。 即刻调用文心一言能力 开通百度智能云千帆大模型平台服务自动获取1000000+免费tokens 立即体验 在人工智能领域,嵌入(Embedding)、...
微调(finetuning)对人的作用包括行为改变和知识获取。行为改变方面,包括学习更一致地回应、学会专注(如适度)以及发挥能力(如更擅长对话);知识获取方面,包括增加对新特定概念的了解、纠正旧的不正确信息。总的来说,微调既能带来行为改变,也能实现知识获取。
Prompt Tuning是一种为了解决模型重用问题而逐渐兴起的微调策略。与Fine Tuning不同,Prompt Tuning在旧任务上训练好的模型上直接进行新任务,而不需要重新训练整个模型。它通过添加一些可训练的prompt(提示)来实现这一点。 在Prompt Tuning中,预训练的模型被视为“frozen”(冻结的),即其参数不会在新任务上进行更新。
fine-tuning (redirected fromFinetuning) Financial Idioms fine-tune (fīn′to͞on′, -tyo͞on′) tr.v.fine-tuned,fine-tun·ing,fine-tunes To make small adjustments in for optimal performance or effectiveness:fine-tuned her investing strategy to maximize profits. ...
For details about Azure OpenAI models that are available for fine-tuning, see theAzure OpenAI Service models documentationor theAzure OpenAI models tablelater in this guide. For the Azure OpenAI Service models that you can fine tune, supported regions for fine-tuning include North Central US, Swe...
Every fine-tuning job starts from a base model, which defaults to curie. The choice of model influences both the performance of the model and the cost of running your fine-tuned model. Your model can be one of: ada, babbage, curie, or davinci. Visit our pricing page for details on fi...