Model Card for Model ID
Hungarian Part-of-speech tagger ModernBERT-base.
Model Description
The model performs POS tagging on long Hungarian texts. (8k context-window)
labels: ['ADJ', 'ADP', 'ADV', 'AUX', 'CCONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'VERB', 'X']
Accuracy on hu_szeged-ud-test (token-level): 87.6%
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- Developed by: Gábor Madarász
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- Language(s) (NLP): [More Information Needed]
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- Finetuned from model [optional]: GaborMadarasz/ModernBERT-base-hungarian
Model Sources [optional]
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Uses
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
Phase-1 finetune
UD Hungarian Szeged: https://universaldependencies.org/treebanks/hu_szeged/index.html
POS tagging performed with huSapcy (hu_core_news_lg) on Hungarian Wikipedia.
Phase-2 finetune
POS tagging performed with phase-1 fine-tuned ModernBERT on a subset of opensubtitles.
Training Hyperparameters
- Training regime: fp32
Metrics
Accuracy: 87.6
Results
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