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results: []
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should probably proofread and complete it, then remove this comment. -->
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# ModernRadBERT-mlm
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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: 1.6936
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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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results: []
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# ModernRadBERT-mlm
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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: 1.6936
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https://www.johnpaulett.com/2025/modernbert-radiology-fine-tuning-masked-langage-model/
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**WARNING: For demonstration purposes only**
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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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