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README.md
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- sentence-transformers
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---
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```
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Average (All) 52.46
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Average (MTEB) 51.66
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Classification 65.97
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Clustering 35.29
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PairClassification 78.17
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Reranking 50.92
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Retrieval 33.52
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STS 74.22
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Summarization 29.78
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PEARL 55.37
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WordSim 55.15
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```
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# potion-base-32M Model Card
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- Training: the distilled model is trained on the training data using Tokenlearn.
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- Post-training re-regularization: after training, the model is re-regularized by weighting the tokens based on their frequency, applying PCA, and finally applying [SIF weighting](https://openreview.net/pdf?id=SyK00v5xx).
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## Additional Resources
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- sentence-transformers
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# potion-base-32M Model Card
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- Training: the distilled model is trained on the training data using Tokenlearn.
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- Post-training re-regularization: after training, the model is re-regularized by weighting the tokens based on their frequency, applying PCA, and finally applying [SIF weighting](https://openreview.net/pdf?id=SyK00v5xx).
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## Results
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The results for this model are shown in the table below. The full Model2Vec results for all models can be found on the [Model2Vec results page](https://github.com/MinishLab/model2vec/blob/main/results/README.md).
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```
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Average (All) 52.46
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Average (MTEB) 51.66
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Classification 65.97
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Clustering 35.29
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PairClassification 78.17
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Reranking 50.92
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Retrieval 33.52
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STS 74.22
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Summarization 29.78
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PEARL 55.37
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WordSim 55.15
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```
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## Additional Resources
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