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# ModernRadBERT-cui-classifier
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.1454
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- Precision Micro: 0.8664
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- Hamming Loss: 0.0327
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- Label Accuracy: 0.9673
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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# ModernRadBERT-cui-classifier
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [`unsloth/Radiology_mini`](https://huggingface.co/datasets/unsloth/Radiology_mini) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1454
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- Precision Micro: 0.8664
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- Hamming Loss: 0.0327
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- Label Accuracy: 0.9673
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https://www.johnpaulett.com/2025/modernbert-radiology-fine-tuning-classifier/
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## Model description
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More information needed
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## Intended uses & limitations
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**Not intended for real-world use**, was an example of MLM fine-tuning on a small radiology dataset.
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## Training and evaluation data
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