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xlm-roberta-estonian-pos
PitchayaS/xlm-roberta-estonian-pos
xlm-roberta-estonian-pos is a token classification model from PitchayaS. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of FacebookAI/xlm-roberta-base for Estonian Part-of-Speech (POS) tagging. It is trained on the Universal Dependencies Treebank (UDT), specifically:
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 11, 2025
- Updated
- Nov 18, 2025
- SHA
- ca6abbc4
Base models
Model card
From the Hugging Face model README
Estonian POS Tagging Model (XLM-RoBERTa-Base)
This model is a fine-tuned version of FacebookAI/xlm-roberta-base for Estonian Part-of-Speech (POS) tagging.
It is trained on the Universal Dependencies Treebank (UDT), specifically:
The model provides strong token-level linguistic annotation performance and can be used for downstream Estonian NLP tasks.
Evaluation Results
POS tagging accuracy on UDT test datasets (EDT + EWT): 0.9775
| Label | Precision | Recall | F1-score | Support |
|---|---|---|---|---|
| ADJ | 0.96 | 0.96 | 0.96 | 4902 |
| ADP | 0.95 | 0.97 | 0.96 | 1134 |
| ADV | 0.97 | 0.98 | 0.97 | 6511 |
| AUX | 0.98 | 0.99 | 0.98 | 3409 |
| CCONJ | 0.99 | 0.99 | 0.99 | 2510 |
| DET | 0.91 | 0.93 | 0.92 | 1142 |
| INTJ | 0.85 | 0.83 | 0.84 | 129 |
| NOUN | 0.98 | 0.98 | 0.98 | 15336 |
| NUM | 0.97 | 0.95 | 0.96 | 1104 |
| PRON | 0.98 | 0.98 | 0.98 | 3425 |
| PROPN | 0.96 | 0.95 | 0.96 | 3805 |
| PUNCT | 1.00 | 1.00 | 1.00 | 9939 |
| SCONJ | 0.98 | 0.98 | 0.98 | 1459 |
| SYM | 0.85 | 0.73 | 0.79 | 63 |
| VERB | 0.99 | 0.98 | 0.98 | 6746 |
| X | 0.78 | 0.53 | 0.63 | 75 |
| Accuracy | — | — | 0.98 | 61689 |
| Macro avg | 0.94 | 0.92 | 0.93 | 61689 |
| Weighted avg | 0.98 | 0.98 | 0.98 | 61689 |
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- et
- Created
- Nov 11, 2025
- Updated
- Nov 18, 2025