language: fr
license: mit
tags:
- zero-shot-classification
- nli
pipeline_tag: zero-shot-classification
widget:
- text: >-
Selon certains physiciens, un univers parallèle, miroir du nôtre ou
relevant de ce que l'on appelle la théorie des branes, autoriserait des
neutrons à sortir de notre Univers pour y entrer à nouveau. L'idée a été
testée une nouvelle fois avec le réacteur nucléaire de l'Institut
Laue-Langevin à Grenoble, plus précisément en utilisant le détecteur de
l'expérience Stereo initialement conçu pour chasser des particules de
matière noire potentielles, les neutrinos stériles.
candidate_labels: politique, science, sport, santé
hypothesis_template: Ce texte parle de {}.
datasets:
- flue
DistilCamemBERT-NLI
We present DistilCamemBERT-NLI which is DistilCamemBERT fine-tuned for the Natural Language Inference (NLI) task for the French language, also known as recognizing textual entailment (RTE). This model is constructed on the XNLI dataset which consists to determine whether a premise entails, contradicts or neither entails nor contradicts a hypothesis.
This modelization is close to BaptisteDoyen/camembert-base-xnli based on CamemBERT model. The problem of the modelizations based on CamemBERT is at the scaling moment, for the production phase for example. Indeed, inference cost can be a technological issue. To counteract this effect, we propose this modelization which divides the inference time by 2 with the same consumption power thanks to DistilCamemBERT.
Dataset
The dataset (XNLI)[https://huggingface.co/datasets/xnli] is composed of 392,702 premises with their hypothesis for the train and 5,010 couples for the test.
| class | precision (%) | f1-score (%) | support |
|---|---|---|---|
| global | 77.70 | 77.45 | 5,010 |
| contradiction | 78.00 | 79.54 | 1,670 |
| entailment | 82.90 | 78.87 | 1,670 |
| neutral | 72.18 | 74.04 | 1,670 |
| NLI | time (ms) | MCC (x100) | | :--------- ----: | :-----------: | :------------: | | cmarkea/distilcamembert-base-nli | 51.35 | 66.24 | | BaptisteDoyen/camembert-base-xnli | 105.0 | 72.67 | | MoritzLaurer/mDeBERTa-v3-base-mnli-xnli | 299.18 | 75.15 |