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Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the
Kurdish
(Arabic script) model trained on 5MB of data, after accounting for an estimated byte premium of 1.57; content-matched text in Kurdish 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: kur_arab is a
macrolanguage
code. Individual language code ckb_arab (Central Kurdish) 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: 39087104
Maximum sequence length: 512 tokens
Training text data (raw): 7.85MB
Training text data (byte premium scaled): 5.005MB
Training tokens: 1137664 (x10 epochs)
Vocabulary size: 50000
Compute cost: 860097494384640.0 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 kur_arab_5mb on huggingface.co
17
Total runs
0
24-hour runs
-1
3-day runs
0
7-day runs
-15
30-day runs
More Information About kur_arab_5mb huggingface.co Model
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kur_arab_5mb is an open source model from GitHub that offers a free installation service, and any user can find kur_arab_5mb on GitHub to install. At the same time, huggingface.co provides the effect of kur_arab_5mb install, users can directly use kur_arab_5mb installed effect in huggingface.co for debugging and trial. It also supports api for free installation.