Model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
Author: MoritzLaurer
Pipeline: zero-shot-classification
Library: transformers
Tags: transformers, pytorch, onnx, safetensors, deberta-v2, text-classification, zero-shot-classification, nli, multilingual, zh, ja, ar, ko, de, fr, es, pt, hi, id, it, tr, ru, bn, ur, mr, ta, vi, fa, pl, uk, nl, sv, he, sw, ps, dataset:MoritzLaurer/multilingual-NLI-26lang-2mil7, dataset:xnli, dataset:multi_nli, dataset:facebook/anli, dataset:fever, dataset:lingnli, dataset:alisawuffles/WANLI, arxiv:2111.09543, arxiv:2104.07179, arxiv:1809.05053, arxiv:1911.02116, license:mit, model-index, endpoints_compatible, deploy:azure, region:us
Card metadata: language: multilingual, zh, ja, ar, ko, de, fr, es, pt, hi, id, it, tr, ru, bn, ur, mr, ta, vi, fa, pl, uk, nl, sv, he, sw, ps
license: mit
tags: zero-shot-classification, text-classification, nli, pytorch
datasets: MoritzLaurer/multilingual-NLI-26lang-2mil7, xnli, multi_nli, facebook/anli, fever, lingnli, alisawuffles/WANLI
metrics: accuracy
pipeline_tag: zero-shot-classification
widget: text: Angela Merkel ist eine Politikerin in Deutschland und Vorsitzende der CDU
candidate_labels: politics, economy, entertainment, environment
model-index: name: DeBERTa-v3-base-xnli-multilingual-nli-2mil7
results: task: type: text-classification
name: Natural Language Inference
dataset: name: MultiNLI-matched
type: multi_nli
split: validation_matched
metrics: type: accuracy
value: 0,857
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: MultiNLI-mismatched
type: multi_nli
split: validation_mismatched
metrics: type: accuracy
value: 0,856
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: ANLI-all
type: anli
split: test_r1+test_r2+test_r3
metrics: type: accuracy
value: 0,537
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: ANLI-r3
type: anli
split: test_r3
metrics: type: accuracy
value: 0,497
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: WANLI
type: alisawuffles/WANLI
split: test
metrics: type: accuracy
value: 0,732
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: LingNLI
type: lingnli
split: test
metrics: type: accuracy
value: 0,788
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: fever-nli
type: fever-nli
split: test
metrics: type: accuracy
value: 0,761
verified: no
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Created: 2022-08-22 16:59:35