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# roberta_finetuned_astronomicalNER
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This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english)
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- Loss: 0.1416
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- Precision: 0.7659
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- Recall: 0.7986
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- F1: 0.7819
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- Accuracy: 0.9640
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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# roberta_finetuned_astronomicalNER
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This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) for NER on astronomical objects.
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The dataset comes from the Shared Task [DEAL: Detecting Entities in the Astrophysics Literature](https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks)
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The model achieves the following results on the evaluation set:
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- Loss: 0.1416
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- Precision: 0.7659
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- Recall: 0.7986
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- F1: 0.7819
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- Accuracy: 0.9640
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### Training hyperparameters
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The following hyperparameters were used during training:
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