add bge-small-en-v1.5 results
Browse files
README.md
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@@ -96,7 +96,8 @@ Below, you can see the F1 score on several text classification datasets. All tes
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| [Bart-large-mnli (407 M)](https://huggingface.co/facebook/bart-large-mnli) | 0.89 | 0.6887 | 0.3765 |
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| 98 |
| [Deberta-base-v3 (184 M)](https://huggingface.co/cross-encoder/nli-deberta-v3-base) | 0.85 | 0.6455 | 0.5095 |
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| Comprehendo (184M) | 0.90 | 0.7982 | 0.5660 |
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### Future reading
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Check our blogpost - ["The new milestone in zero-shot capabilities (it’s not Generative AI)."](https://medium.com/p/9b5a081fbf27), where we highlighted possible use-cases of the model and why next-token prediction is not the only way to achive amazing zero-shot capabilites.
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| 96 |
|-----------------------------|------|---------|----------|
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| 97 |
| [Bart-large-mnli (407 M)](https://huggingface.co/facebook/bart-large-mnli) | 0.89 | 0.6887 | 0.3765 |
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| 98 |
| [Deberta-base-v3 (184 M)](https://huggingface.co/cross-encoder/nli-deberta-v3-base) | 0.85 | 0.6455 | 0.5095 |
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| 99 |
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| [Comprehendo (184M)](https://huggingface.co/knowledgator/comprehend_it-base) | 0.90 | 0.7982 | 0.5660 |
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| 100 |
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| SetFit [BAAI/bge-small-en-v1.5 (33.4M)](https://huggingface.co/BAAI/bge-small-en-v1.5) | 0.86 | 0.5636 | 0.5754 |
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| 101 |
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### Future reading
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Check our blogpost - ["The new milestone in zero-shot capabilities (it’s not Generative AI)."](https://medium.com/p/9b5a081fbf27), where we highlighted possible use-cases of the model and why next-token prediction is not the only way to achive amazing zero-shot capabilites.
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