We pre-train ELECTRA small on the
TLMD
dataset, with over 40 million tokens.
Contained are trained Flax and PyTorch models.
Hyperparameters
The hyperparameters corresponding to model sizes mentioned above are as follows:
Model Size
L
AH
HS
FFN
P
Seq
SMALL
12
4
256
1024
14M
512
(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters; Seq = maximum sequence length.)
Framework versions
Transformers 4.12.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3
Citation
If you use this model in your product or research, please cite as follows:
@article{Fitsum2021TiPLMs,
author={Fitsum Gaim and Wonsuk Yang and Jong C. Park},
title={Monolingual Pre-trained Language Models for Tigrinya},
year=2021,
publisher={WiNLP 2021 at EMNLP 2021}
}
Runs of fgaim tielectra-small on huggingface.co
33
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
1
30-day runs
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