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README.md
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@@ -38,6 +38,8 @@ We have released three models for Scandinavian NLI, of different sizes:
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- [alexandrainst/scandi-nli-base](https://huggingface.co/alexandrainst/scandi-nli-base)
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- alexandrainst/scandi-nli-small (this)
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The performance and model size of each of them can be found in the Performance section below.
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The three languages are sampled equally during training, and they're validated on validation splits of [DanFEVER](https://aclanthology.org/2021.nodalida-main.pdf#page=439) and machine translated versions of [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) for Swedish and Norwegian Bokmål, sampled equally.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- [alexandrainst/scandi-nli-base](https://huggingface.co/alexandrainst/scandi-nli-base)
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- alexandrainst/scandi-nli-small (this)
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A demo of the large model can be found in [this Hugging Face Space](https://huggingface.co/spaces/alexandrainst/zero-shot-classification) - check it out!
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The performance and model size of each of them can be found in the Performance section below.
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The three languages are sampled equally during training, and they're validated on validation splits of [DanFEVER](https://aclanthology.org/2021.nodalida-main.pdf#page=439) and machine translated versions of [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) for Swedish and Norwegian Bokmål, sampled equally.
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The full training logs can be found in [this Weights and Biases report](https://wandb.ai/saattrupdan/huggingface/reports/ScandiNLI--VmlldzozMDQyOTk1?accessToken=r9crgxqvvigy2hatdjeobzwipz7f3id5vqg8ooksljhfw6wl0hv1b05asypsfj9v).
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### Training hyperparameters
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The following hyperparameters were used during training:
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