alexandrainst
/

scandi-nli-large

Zero-Shot Classification

text-classification

Inference Endpoints

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saattrupdan commited on Nov 30, 2022

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@@ -75,6 +75,7 @@ We report Matthew's Correlation Coefficient (MCC), macro-average F1-score as wel
 | `alexandrainst/scandi-nli-large` (this) | **73.80%** | **58.41%** | **86.98%** | 354M |
 | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 62.44% | 55.00% | 80.42% | 178M |
 | [`alexandrainst/scandi-nli-small`](https://huggingface.co/alexandrainst/scandi-nli-small) | 47.28% | 48.88% | 73.46% | **22M** |
 ## Training procedure

 | `alexandrainst/scandi-nli-large` (this) | **73.80%** | **58.41%** | **86.98%** | 354M |
 | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 62.44% | 55.00% | 80.42% | 178M |
 | [`alexandrainst/scandi-nli-small`](https://huggingface.co/alexandrainst/scandi-nli-small) | 47.28% | 48.88% | 73.46% | **22M** |
+| [`joeddav/xlm-roberta-large-xnli`](https://huggingface.co/joeddav/xlm-roberta-large-xnli) | 49.18% | 50.31% | 69.73% | 560M |
 ## Training procedure