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roberta-base_topic_classification_nyt_news

Text Classification
Transformers
PyTorch
roberta
topic
classification
news
Eval Results (legacy)
text-embeddings-inference
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  # roberta-base_topic_classification_nyt_news
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the NYT News dataset (https://www.kaggle.com/datasets/aryansingh0909/nyt-articles-21m-2000-present).
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  It achieves the following results on the test set of 51200 cases:
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  - Accuracy: 0.91
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  - F1: 0.91
 
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  # roberta-base_topic_classification_nyt_news
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the NYT News dataset, which contains 256,000 news titles from articles published from 2000 to the present (https://www.kaggle.com/datasets/aryansingh0909/nyt-articles-21m-2000-present).
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  It achieves the following results on the test set of 51200 cases:
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  - Accuracy: 0.91
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  - F1: 0.91