
|          | vitaminc real | vitaminc synth  | MNLI   | ANLI   | WANLNI |
|----------|---------------|-----------------|--------|--------|--------|
| accuracy | 0.8800        | 0.9218          | 0.8696 | 0.5031 | 0.7298 |
{"license": "mit", "datasets": ["multi_nli", "tals/vitaminc", "anli", "alisawuffles/WANLI", "metaeval/lingnli"]}
transformers pytorch deberta-v2 text-classification dataset:multi_nli dataset:tals/vitaminc dataset:anli dataset:alisawuffles/WANLI dataset:metaeval/lingnli license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #dataset-multi_nli #dataset-tals/vitaminc #dataset-anli #dataset-alisawuffles/WANLI #dataset-metaeval/lingnli #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #deberta-v2 #text-classification #dataset-multi_nli #dataset-tals/vitaminc #dataset-anli #dataset-alisawuffles/WANLI #dataset-metaeval/lingnli #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #deberta-v2 #text-classification #dataset-multi_nli #dataset-tals/vitaminc #dataset-anli #dataset-alisawuffles/WANLI #dataset-metaeval/lingnli #license-mit #autotrain_compatible #endpoints_compatible #region-us 
