AntoineBlanot/roberta-nli

RoBERTa NLI (Natural Language Inference)

This model is a fine-tuned model of roberta-large after being trained on a mixture of NLI datasets.

This model can classify a pair of sentence (a premise and a claim) into 3 classes:

• 'entailment': the claim can logically be inferred from the premise
• 'contradiction': the claim contradicts the premise
• 'neutral': the premise is unrelated or do not provide sufficient information to validate the claim

This model can also be used for zero-shot classification tasks ! Please take a look at this repo for more information on zero-shot classification tasks.

Usage

This model has been trained in an efficient way and thus cannot be load directly from HuggingFace's hub. To use that model, please follow instructions on this repo.

For zero-shot classification tasks, please take a look at this repo.

Data used for training

• multi_nli
• snli
• scitail

Evaluation results

Data	Accuracy
MNLI (val. m)	0.894
MNLI (val. mm)	0.895
SNLI (val.)	0.920
SciTail (val.)	0.934