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README.md
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## Direct Use
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This model can be used for the task of feature extraction.
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## Downstream Use [Optional]
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More information needed.
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## Out-of-Scope Use
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The model should not be used to intentionally create hostile or alienating environments for people.
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# Bias, Risks, and Limitations
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Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
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## Recommendations
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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 use 26.2k generated synthetic train SynCSE-partial-RoBERTa-base.
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## Training Procedure
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### Preprocessing
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More information needed
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### Speeds, Sizes, Times
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More information needed
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# Evaluation
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### Factors
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### Metrics
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## Results
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# Model Examination
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The model craters note in the [associated paper](https://arxiv.org/pdf/2104.08821.pdf):
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# Technical Specifications [optional]
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## Model Architecture and Objective
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More information needed
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## Compute Infrastructure
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### Hardware
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### Software
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More information needed.
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# Citation
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# More Information [optional]
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More information needed
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# Model Card Contact
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## Direct Use
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This model can be used for the task of feature extraction.
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## Out-of-Scope Use
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The model should not be used to intentionally create hostile or alienating environments for people.
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# Bias, Risks, and Limitations
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Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
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## Recommendations
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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 use 26.2k generated synthetic train SynCSE-partial-RoBERTa-base.
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# Citation
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# More Information [optional]
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More information needed
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# Model Card Contact
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