Model: MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
Author: MoritzLaurer
Pipeline: zero-shot-classification
Library: transformers
Tags: transformers, pytorch, onnx, safetensors, deberta-v2, text-classification, zero-shot-classification, en, dataset:multi_nli, dataset:facebook/anli, dataset:fever, dataset:lingnli, dataset:alisawuffles/WANLI, arxiv:2104.07179, arxiv:2111.09543, license:mit, model-index, endpoints_compatible, deploy:azure, region:us
Card metadata: language: en
license: mit
tags: text-classification, zero-shot-classification
datasets: multi_nli, facebook/anli, fever, lingnli, alisawuffles/WANLI
metrics: accuracy
pipeline_tag: zero-shot-classification
model-index: name: DeBERTa-v3-large-mnli-fever-anli-ling-wanli
results: task: type: text-classification
name: Natural Language Inference
dataset: name: MultiNLI-matched
type: multi_nli
split: validation_matched
metrics: type: accuracy
value: 0,912
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: MultiNLI-mismatched
type: multi_nli
split: validation_mismatched
metrics: type: accuracy
value: 0,908
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: 0,702
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: ANLI-r3
type: anli
split: test_r3
metrics: type: accuracy
value: 0,64
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: WANLI
type: alisawuffles/WANLI
split: test
metrics: type: accuracy
value: 0,77
verified: no, task: type: text-classification
name: Natural Language Inference
dataset: name: LingNLI
type: lingnli
split: test
metrics: type: accuracy
value: 0,87
verified: no
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Created: 2022-06-06 18:28:10