Huang, Kunhao and Jiao, Lihua and He, Yuchen and Zhang, Ruiqin and Liang, Yuan and Wang, Yingshan}, title = {chat-dataset-baseline}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/hikariming/alpaca_chinese_dataset}}, }...
dataset(Arithmetic Reasoning): GSM8K, SVAMP, ASDiv, AQuA, MAWPS dataset(Commonsense Reasoning): CSQA, StrategyQA, Date, Sports, SayCan baseline: standard prompting LLM:基于5个LLM(GPT-3, LaMDA, PaLM, UL2 20B, Codex) 实验结论: (1)chain-of-thought...
dataset(Commonsense Reasoning): CSQA, StrategyQA, Date, Sports, SayCan baseline: standard prompting ...
4.1.1 Model Configuration ChatDB和Baseline对比 均采用GPT-3.5 Turbo,超参数温度设置为0 4.1.2 Dataset 四种操作,购买(从供应商)、售卖、返还、改价,70条记录。 对应如下: 同时采用的Prompt为: 4.1.3 Processing record 数据库模式的创建,通过LLM或人工,并采用方式1控制数据库 处理记录是one by one,符号化的...
为了使BERT能够处理不同的下游任务,对于每一个输入的Sequence(在BERT的原文中,作者用"Sentence"表示任意跨度的连续文本,而不是语言意义上的句子;用"Sequence"表示输入BERT的tokens序列,可以是一个句子也可以是被打包在一起的两个句子),在其最前面拼接一个特殊的...
baseline ZETT：端到端生成模型 ChatGPT：GPT-3.5-turbo UIE和USM 与USM和ZETT对比结果 与GPT系列模型...
此外,初代 GPT 将语言建模作为微调的辅助目标以帮助 Fine-tuning 阶段(a)提升泛化性,(b)加速模型收敛。具体地,整个 Fine-tuning 阶段的优化目标为: 相比Pre-training阶段,Fine-tuning 引入了额外的参数包含 和 delimiter tokens(分隔符) 的 embeddings。而 delimiter tokens 是针对 Fine-tuning 阶段不同的下游 task...
These question-answer pairs are referred to as your "golden dataset." A larger population might be required depending on the size and domain of your dataset. Avoid using LLMs to generate any of the data in your golden dataset. Deployment Flow The diagram shows the deployment flow for a ...
Include enough question-and-answer pairs to help ensure that the results of the tests are reliable. We recommend that you include at least 100-150 pairs. These questions and answers are also known as yourgolden dataset. A larger number of pairs might be required, depending on the size and ...
- 添加`DropDatasetDuplicate`类实现对大数据集的文档去重。 2023-12-29 - 更新模型代码(权重不变),可以直接使用`AutoModelForSeq2SeqLM.from_pretrained(...)`加载模型使用。 - 更新readme文档。 2023-12-18 - 补充利用`ChatLM-mini-0.2B`模型微调下游三元组信息抽取任务代码及抽取效果展示 。