Cross Lingual Natural Language Inference On 1

Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称	Accuracy	Paper Title
BERT	74.3%	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
X-CBOW	60.7%	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
X-BiLSTM	68.7%	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
XLM-R R4F	85.2%	Better Fine-Tuning by Reducing Representational Collapse

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