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Trained on syssec-utd/segmentation-py312-pylingual-v1-tokenized using syssec-utd/py312-pylingual-v1-mlm

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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # py312-pylingual-v1-segmenter
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- This model is a fine-tuned version of [syssec-utd/py312-pylingual-v1-mlm](https://huggingface.co/syssec-utd/py312-pylingual-v1-mlm) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0053
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  - Precision: 0.9923
 
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  # py312-pylingual-v1-segmenter
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+ This model is a fine-tuned version of [syssec-utd/py312-pylingual-v1-mlm](https://huggingface.co/syssec-utd/py312-pylingual-v1-mlm) on the syssec-utd/segmentation-py312-pylingual-v1-tokenized dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0053
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  - Precision: 0.9923