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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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-
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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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- The results for this model can be found on the [Model2Vec results page](https://github.com/MinishLab/model2vec/blob/main/results/README.md).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Additional Resources
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  - sentence-transformers
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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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+ ## Results
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+
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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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+
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  ## Additional Resources
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