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license: mit
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tags:
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model-index:
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---
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# SubRoBERTa: Reddit Subreddit Classification Model
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The model was evaluated using accuracy and F1-macro scores. The best model was selected based on the F1-macro score.
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## Environmental Impact
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- **Hardware Type:** GPU
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- **Hours used:** [Add your training time]
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- **Cloud Provider:** [Add your cloud provider if applicable]
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- **Compute Region:** [Add your region if applicable]
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- **Carbon Emitted:** [Add if you have this information]
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## Citation
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If you use this model in your research, please cite:
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@misc{SubRoBERTa,
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author = {Marco Allanda},
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title = {SubRoBERTa: Reddit Subreddit Classification Model},
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year = {
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publisher = {Hugging Face},
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journal = {Hugging Face Hub},
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howpublished = {\url{https://huggingface.co/marcoallanda/SubRoBERTa}}
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}
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```
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## Contact
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For questions or feedback, please open an issue on the [GitHub repository](https://github.com/marcoallanda/NLP-Project) or contact me through Hugging Face.
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---
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license: mit
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tags:
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- roberta
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- text-classification
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- reddit
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- nlp
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- sequence-classification
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- pytorch
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- transformers
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model-index:
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- name: SubRoBERTa
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results: []
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- FacebookAI/roberta-base
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---
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# SubRoBERTa: Reddit Subreddit Classification Model
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The model was evaluated using accuracy and F1-macro scores. The best model was selected based on the F1-macro score.
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## Citation
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If you use this model in your research, please cite:
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@misc{SubRoBERTa,
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author = {Marco Allanda},
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title = {SubRoBERTa: Reddit Subreddit Classification Model},
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year = {2025},
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publisher = {Hugging Face},
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journal = {Hugging Face Hub},
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howpublished = {\url{https://huggingface.co/marcoallanda/SubRoBERTa}}
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}
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```
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