这意味着,machine translations of the monolingual dataset bring diminishing returns as model capacity increases。These trends point to the possibility of avoiding the costly step of annotating data in more than one language when using large models(做多语种的大模型时,可以避免数据标注)。 T5 vs. mT5 ...
我们使用“Large”模型作为基准运行六次消融,修改各种设置:(i)将dropout rate增加到0.1,以期减少对低资源语言的过拟合,(ii)将序列长度减少为512,和T5中一样(iii)将预训练目标中的平均噪声跨度长度增加到10,因为我们观察到每个token的字符数少于T5;(iv)将语言采样指数α调整为MMNMT中和mBERT(Devlin,2018)使用的{0....
遵循原始的T5配方,我们考虑五个模型大小:Small(≈300M个参数),Base(580M),Large(1.2B),XL(3.7B)和XXL(13B)。与相应的T5模型变体相比,参数计数的增加来自mT5中使用的较大词汇表。请注意,由于mT5是一个编码器-解码器模型,它的参数大约是相应大小的仅编码器模型(如XLM-R)的两倍。例如,XLM-R的“Large”变体...
bart-large-mnli a distilled bart MNLI model. Zero-shot example: The model retains its text-to-text characteristic after fine-tuning. This means that our expected outputs will be text. During fine-tuning, the model learns to respond to the NLI task with a series of single token responses th...
mT5 achieved state-of-the-art benchmark scores across multiple languages. With offerings in “small”, “base”, “large”, “xl”, and “xxl”, mt5 has a variety of model sizes to suit a variety of needs. More information is available in the companion paper “mT5: A massively multiling...
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Natural Language InferenceRCBMT5 LargeAverage F10.366# 11 Accuracy0.454# 15 Compare Common Sense ReasoningRuCoSMT5 LargeAverage F10.57# 10 Compare EM0.562# 10 Compare Common Sense ReasoningRWSDMT5 LargeAccuracy0.669# 8 Compare Natural Language InferenceTERRaMT5 LargeAccuracy0.561# 16 ...
Order block hunter indicator is the best indicator for hunt the order blocks that area where there has been a large concentration of limit orders waiting to be executed Order blocks are identified on a chart by observing previous price action and looking for areas where the price experienced sign...
On Bilingual Lexicon Induction with Large Language Models (EMNLP 2023). Keywords: Bilingual Lexicon Induction, Word Translation, Large Language Models, LLMs. machine-translationpromptpytorchllamapromptszero-shot-learningmt5bilingual-lexicon-extractionfew-shot-learningmultilingual-modelsmultilingual-nlplow-resource...
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