iceman2434
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xlm-roberta-base-ft-udpos213-top5lang

Token Classification

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Model Specification

Model: XLM-RoBERTa (base-sized model)
Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, & Norwegian corpora (Top 5 Languages)
Training Details:
- Base configurations with learning rate 5e-5

Evaluation

Evaluation Dataset: Universal Dependencies Tagalog Ugnayan (Testing Set)
Tested in a zero-shot cross-lingual scenario on a Universal Dependencies Tagalog Ugnayan testing dataset (with 76.34% Accuracy)

POS Tags

ADJ – ADP – ADV – CCONJ – DET – INTJ – NOUN – NUM – PART – PRON – PROPN – PUNCT – SCONJ – VERB

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Inference Examples

Token Classification

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Dataset used to train iceman2434/xlm-roberta-base-ft-udpos213-top5lang

Collection including iceman2434/xlm-roberta-base-ft-udpos213-top5lang

Zero-Shot Cross-Lingual POS Tagging for Filipino

Collection of models involve: XLM-R and RoBERTa Monolingual and Combination (Top 2 to 5)https://aclanthology.org/2024.fieldmatters-1.9/ • 30 items • Updated Oct 21