Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the
Akan
(Latin script) model trained on 49MB of data (all our data in the language), after accounting for an estimated byte premium of 1.57; content-matched text in Akan takes on average 1.57x as many UTF-8 bytes to encode as English.
The Goldfish models are trained primarily for comparability across languages and for low-resource languages; Goldfish performance for high-resource languages is not designed to be comparable with modern large language models (LLMs).
Note: aka_latn is a
macrolanguage
code. Individual language code twi_latn (Twi) is included in Goldfish, although with less data.
To access all Goldfish model details programmatically, see
https://github.com/tylerachang/goldfish/blob/main/model_details.json
.
All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
Details for this model specifically:
Architecture: gpt2
Parameters: 124770816
Maximum sequence length: 512 tokens
Training text data (raw): 77.97MB
Training text data (byte premium scaled): 49.515MB
Training tokens: 22551040 (x10 epochs)
Vocabulary size: 50000
Compute cost: 1.15078498025472e+17 FLOPs or ~10.9 NVIDIA A6000 GPU hours
Training datasets (percentages prior to deduplication):
@article{chang-etal-2024-goldfish,
title={Goldfish: Monolingual Language Models for 350 Languages},
author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
journal={Preprint},
year={2024},
}
Runs of goldfish-models aka_latn_full on huggingface.co
22
Total runs
0
24-hour runs
-3
3-day runs
-3
7-day runs
-2
30-day runs
More Information About aka_latn_full huggingface.co Model
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goldfish-models aka_latn_full online free url in huggingface.co:
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