Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the
Sindhi
(Arabic script) model trained on 459MB of data (all our data in the language), after accounting for an estimated byte premium of 1.59; content-matched text in Sindhi takes on average 1.59x 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: snd_arab is an
individual language
code. It is not contained in any macrolanguage codes contained in Goldfish (for script arab).
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): 729.10MB
Training text data (byte premium scaled): 459.145MB
Training tokens: 114626048 (x10 epochs)
Vocabulary size: 50000
Compute cost: 5.84994711011328e+17 FLOPs or ~55.3 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 snd_arab_full on huggingface.co
107
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
90
30-day runs
More Information About snd_arab_full huggingface.co Model
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goldfish-models snd_arab_full online free url in huggingface.co:
snd_arab_full is an open source model from GitHub that offers a free installation service, and any user can find snd_arab_full on GitHub to install. At the same time, huggingface.co provides the effect of snd_arab_full install, users can directly use snd_arab_full installed effect in huggingface.co for debugging and trial. It also supports api for free installation.