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Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the
Azerbaijani
(Latin script) model trained on 1000MB of data, after accounting for an estimated byte premium of 1.30; content-matched text in Azerbaijani takes on average 1.30x 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: aze_latn is a
macrolanguage
code. Individual language code azj_latn (North Azerbaijani) 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): 1298.79MB
Training text data (byte premium scaled): 1000.005MB
Training tokens: 233091584 (x10 epochs)
Vocabulary size: 50000
Compute cost: 1.189600434192384e+18 FLOPs or ~112.5 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 aze_latn_1000mb on huggingface.co
38
Total runs
2
24-hour runs
3
3-day runs
12
7-day runs
12
30-day runs
More Information About aze_latn_1000mb huggingface.co Model
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aze_latn_1000mb is an open source model from GitHub that offers a free installation service, and any user can find aze_latn_1000mb on GitHub to install. At the same time, huggingface.co provides the effect of aze_latn_1000mb install, users can directly use aze_latn_1000mb installed effect in huggingface.co for debugging and trial. It also supports api for free installation.