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---
license: apache-2.0
language:
- sr
metrics:
- accuracy
- wer
library_name: transformers
tags:
- legal
---
# BERTić-COMtext-SR-legal-MSD-ekavica
**BERTić-COMtext-SR-legal-MSD-ekavica** is a variant of the [BERTić](https://huggingface.co/classla/bcms-bertic) model, fine-tuned on the task of morphosyntactic (MSD) tag prediction in Serbian legal texts written in the Ekavian pronunciation.
The model was fine-tuned for 15 epochs on the Ekavian variant of the [COMtext.SR.legal](https://github.com/ICEF-NLP/COMtext.SR) dataset.
# Benchmarking
This model was evaluated on the tasks of MSD prediction and lemmatization of Serbian legal texts.
Lemmatization was performed using the predicted MSD tags and the [srLex](http://hdl.handle.net/11356/1233) inflectional lexicon.
Accuracy and Word Error Rate were used as evaluation metrics.
This model was compared to:
- The [CLASSLA](http://pypi.org/project/classla/) library
- A variant of [BERTić](https://huggingface.co/classla/bcms-bertic) fine-tuned for MSD prediction using the [SETimes.SR 2.0](http://hdl.handle.net/11356/1843) corpus of newswire texts
- [SrBERTa](http://huggingface.co/nemanjaPetrovic/SrBERTa), a model specially trained on Serbian legal texts
All large language models were fine-tuned for 15 epochs.
CLASSLA and BERTić-SETimes were directly tested on the entire COMtext.SR.legal.ekavica corpus.
BERTić-COMtext-SR-legal-MSD-ekavica and SrBERTa were fine-tuned and evaluated on the COMtext.SR.legal.ekavica corpus using 10-fold CV.
The code and data to run these experiments is available on the [COMtext.SR GitHub repository](https://github.com/ICEF-NLP/COMtext.SR).
## Results
| Model | MSD ACC | MSD WER | Lemma ACC | Lemma WER |
| --------------------------------------------------------- | -------- | ---------- | --------- | ---------- |
| CLASSLA-SR (gold tokens) | 0.9144 | 0.0856 | 0.9432 | 0.0568 |
| *CLASSLA-SR (CLASSLA tokenizer)* | / | *0.0983* | / | *0.0739* |
| BERTić-SETimes (gold tokens) | 0.9231 | 0.0768 | 0.9649 | 0.0351 |
| *BERTić-SETimes.SR (CLASSLA tokenizer)* | / | *0.0884* | / | *0.0542* |
| BERTić-COMtext-SR-legal-MSD-ekavica (gold tokens) |**0.9674**| **0.0326** |**0.9666** | **0.0334** |
| *BERTić-COMtext-SR-legal-MSD-ekavica (CLASSLA tokenizer)* | / |***0.0447***| / |***0.0526***|
| SrBERTa (gold tokens) | 0.9288 | 0.0712 | 0.9391 | 0.0609 |
| *SrBERTa (CLASSLA tokenizer)* | / | *0.0851* | / | *0.0819* | |