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README.md
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model-index:
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- name: undersampled-review-clf
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# undersampled-review-clf
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4412
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- F1 Macro: 0.7799
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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model-index:
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- name: undersampled-review-clf
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results: []
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datasets:
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- justina/yelp_boba_reviews
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# undersampled-review-clf
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on
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[justina/yelp-boba-reviews](https://huggingface.co/datasets/justina/yelp_boba_reviews) dataset. Undersampling techniques were used to optimize the model for predicting
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Yelp review ratings.
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It achieves the following results on the evaluation set:
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- Loss: 0.4412
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- F1 Macro: 0.7799
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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