Cross Lingual Natural Language Inference On 1

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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