Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the
Panjabi
(Gurmukhi script) model trained on 5MB of data, after accounting for an estimated byte premium of 2.22; content-matched text in Panjabi takes on average 2.22x 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: pan_guru is an
individual language
code. It is not contained in any macrolanguage codes contained in Goldfish (for script guru).
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: 33844224
Maximum sequence length: 512 tokens
Training text data (raw): 11.11MB
Training text data (byte premium scaled): 5.005MB
Training tokens: 1149440 (x10 epochs)
Vocabulary size: 40049
Compute cost: 868581475614720.0 FLOPs or ~0.1 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 pan_guru_5mb on huggingface.co
109
Total runs
0
24-hour runs
71
3-day runs
82
7-day runs
102
30-day runs
More Information About pan_guru_5mb huggingface.co Model
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