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The model was fine-tuned on a subset of the `mteb/tweet-sentiment-extraction` dataset with emotional analyses generated synthetically by GPT-4.
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## Contributing and Support
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Please raise an issue here if you encounter any problems using the model. Contributions like fine-tuning on additional data or improving the model architecture are always welcome!
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## License
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The model is open source and free to use under the MIT license.
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The model was fine-tuned on a subset of the `mteb/tweet-sentiment-extraction` dataset with emotional analyses generated synthetically by GPT-4.
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## About me
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I'm a recent grad of Ohio State University where I did an undergraduate thesis on Synthetic Data Augmentation using LLMs. I've worked as an NLP consultant for a couple awesome startups, and now I'm looking for a role with an inspiring company who is as interested in the untapped potential of LMs as I am! [Here's my LinkedIn.](https://www.linkedin.com/in/henry-leonardi-a63851165/)
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## Contributing and Support
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Please raise an issue here if you encounter any problems using the model. Contributions like fine-tuning on additional data or improving the model architecture are always welcome!
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[Buy me a coffee!](https://www.buymeacoffee.com/helliun)
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## License
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The model is open source and free to use under the MIT license.
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