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  - bert
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  ---
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- # Model Card for baikal-sentiment-ball
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  # Model Details
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  More information needed
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- - **Developed by:** Princeton NLP group
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- - **Shared by [Optional]:** Princeton NLP group
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  - **Model type:** Feature Extraction
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  - **Language(s) (NLP):** More information needed
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  - **License:** More information needed
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- - **Parent Model:** BERT
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  - **Resources for more information:**
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- - [GitHub Repo](https://github.com/princeton-nlp/SimCSE)
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- - [Associated Paper](https://arxiv.org/abs/2104.08821)
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  # Uses
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  ## Training Data
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- The model craters note in the [Github Repository](https://github.com/princeton-nlp/SimCSE/blob/main/README.md)
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- > We train unsupervised SimCSE on 106 randomly sampled sentences from English Wikipedia, and train supervised SimCSE on the combination of MNLI and SNLI datasets (314k).
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  ## Training Procedure
 
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+ # Model Card for SynCSE-partial
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  # Model Details
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  More information needed
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+ - **Developed by:** SJTU-LIT
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+ - **Shared by [Optional]:** SJTU-LIT
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  - **Model type:** Feature Extraction
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  - **Language(s) (NLP):** More information needed
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  - **License:** More information needed
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+ - **Parent Model:** RoBERTa-base
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  - **Resources for more information:**
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+ - [GitHub Repo](https://github.com/SJTU-LIT/SynCSE/tree/main)
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+ - [Associated Paper](https://arxiv.org/abs/2305.15077)
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  # Uses
 
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  ## Training Data
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+ The model craters note in the [Github Repository](https://github.com/SJTU-LIT/SynCSE/blob/main/README.md)
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+ > We train
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  ## Training Procedure