dost-asti/Embeddings

Model Description

As part of the ITANONG project's 10 billion-token Tagalog dataset, we have introduced a collection of pre-trained embedding models. These models were trained using the Formal text dataset from the renowned corpus which has been thoroughly detailed in our paper. Details of the embedding models can be seen below:

Embedding Technique	Variant	Model File Format	Embedding Size
Word2Vec	Skipgram	.bin	20
Word2Vec	Skipgram	.bin	30
Word2Vec	Skipgram	.bin	50
Word2Vec	Skipgram	.bin	100
Word2Vec	Skipgram	.bin	200
Word2Vec	Skipgram	.bin	300
Word2Vec	Skipgram	.txt	20
Word2Vec	Skipgram	.txt	30
Word2Vec	Skipgram	.txt	50
Word2Vec	Skipgram	.txt	100
Word2Vec	Skipgram	.txt	200
Word2Vec	Skipgram	.txt	300
Word2Vec	CBOW	.bin	20
Word2Vec	CBOW	.bin	30
Word2Vec	CBOW	.bin	50
Word2Vec	CBOW	.bin	100
Word2Vec	CBOW	.bin	200
Word2Vec	CBOW	.bin	300
Word2Vec	CBOW	.txt	20
Word2Vec	CBOW	.txt	30
Word2Vec	CBOW	.txt	50
Word2Vec	CBOW	.txt	100
Word2Vec	CBOW	.txt	200
Word2Vec	CBOW	.txt	300
FastText	Skipgram	.bin	20
FastText	Skipgram	.bin	30
FastText	Skipgram	.bin	50
FastText	Skipgram	.bin	100
FastText	Skipgram	.bin	200
FastText	Skipgram	.bin	300
FastText	Skipgram	.txt	20
FastText	Skipgram	.txt	30
FastText	Skipgram	.txt	50
FastText	Skipgram	.txt	100
FastText	Skipgram	.txt	200
FastText	Skipgram	.txt	300
FastText	CBOW	.bin	20
FastText	CBOW	.bin	30
FastText	CBOW	.bin	50
FastText	CBOW	.bin	100
FastText	CBOW	.bin	200
FastText	CBOW	.bin	300
FastText	CBOW	.txt	20
FastText	CBOW	.txt	30
FastText	CBOW	.txt	50
FastText	CBOW	.txt	100
FastText	CBOW	.txt	200
FastText	CBOW	.txt	300

Training Details

This model was trained using an Nvidia V100-32GB GPU on DOST-ASTI Computing and Archiving Research Environment (COARE) - https://asti.dost.gov.ph/projects/coare/

Training Data

The training dataset was compiled from both formal and informal sources, consisting of 194,001 instances from formal channels. More information on pre-processing and training parameters on our paper.

Citation

Paper : iTANONG-DS : A Collection of Benchmark Datasets for Downstream Natural Language Processing Tasks on Select Philippine Language

Bibtex:

@inproceedings{visperas-etal-2023-itanong,
    title = "i{TANONG}-{DS} : A Collection of Benchmark Datasets for Downstream Natural Language Processing Tasks on Select {P}hilippine Languages",
    author = "Visperas, Moses L.  and
      Borjal, Christalline Joie  and
      Adoptante, Aunhel John M  and
      Abacial, Danielle Shine R.  and
      Decano, Ma. Miciella  and
      Peramo, Elmer C",
    editor = "Abbas, Mourad  and
      Freihat, Abed Alhakim",
    booktitle = "Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023)",
    month = dec,
    year = "2023",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.icnlsp-1.34",
    pages = "316--323",
}