指令微调(Instruction Fine-Tuning) 是大语言模型训练过程中的一个关键步骤,旨在通过在有监督的任务数据集上进行训练,使模型能够更好地理解人类指令并执行特定任务。这个过程在基础模型的基础上进一步优化模型…
BERT这种训练方式让模型在文本生成方面有很强的能力，因此，大家发现有时候不一定需要做fine-tuning即可让模型帮我们解决感兴趣的任务。只要我们把希望输出的部分删除掉，然后尽量构造与该输出有关的其它tokens即可。这就是prompt-tuning的一种想法！与输出相关的tokens组成的上下文信息即可理解为是一个prompt。Prompt通常...
LLaVA在训练时会分为两步: 1.Pre-training for Feature Alignment.这一步会冻结LLM和visual encoder的权重,训练projection,将图像特征Hv和LLM的wrod embeeding对齐。这一步使用的数据是图像和简单的文本描述,示例如下图所示. 2.Fine-tuning End-to-End.这一步会冻结viusual encoder,训练projection和LLM。在训练时...
微调大模型(Finetuning Large Language Models)—Instruction_tuning(三),指令微调,个人理解就是搞prompt模板,从而对输出内容进行标准化输出,本节实验感觉没啥内容,看看就好。
The fine-tuning medium of instruction policy is an innovative idea that provides a breakthrough from the traditional mode of English-medium schools vs Chinese-medium schools and thus brings a close to the age-long debate on the heated topic of medium of instruction in Hong Kong. The new ...
How would you finetune in this style with an instruction finetuning data set like Open-Orca?Collaborator syzymon commented Jul 8, 2023 Hi, thanks for an excellent question and suggestion of the dataset! We are planning to provide an example of fine-tuning our models using the huggingface ...
(2013). Will the new fine-tuning medium-of-instruction policy alleviate threats of dominance of English-medium instruction in Hong Kong? Current Issues in Language Planning, 14(1), 34-51.Poon, A.Y.K. (2013) Will the new fine-tuning medium of instruction policy alleviate the threats of ...
I fine-tuned an LLaMA 2 -13 B with QloRA, it was successfully trained and saved without any problem. However, when it comes to the inference part, the output repeats the instructions and makes the output useless. Some of the instructions from Alapca can generate useful output but most do...
Once you have one or more datasets that you want to fine-tune on, you can run the fine-tuning script from NeMo: TRAIN="[ /path/to/dataset_1.jsonl, /path/to/dataset_2.jsonl]"VALID="[/path/to/validation_data.jsonl]"VALID_NAMES="[your-validation-dataset-name]"CONCAT_SAMPLING_PROBS...
这些问题都来自弱智吧,一个被忽略的语料宝库。 高质量的语料 这两天出现了一篇有趣论文《COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning》,大意是《搞微调,还得拼质量》。 我们都知道,在大模型训练中,我们的中文数据集多多多多多多多多多多多多多多少少有点问题:要么是英文派生的,要么是...