True-Regularization+Finetune+Dynamic-Eval

Parameters

7M

Published

Apr 8, 2019

True-Regularization+Finetune+Dynamic-Eval is an AI model developed by Mobvoi and Williams College (China and United States), first published in April 2019. It works in the language domain, on tasks such as language modeling.

Epoch AI has no training-compute estimate for this model. The model has 7,000,000 parameters. It was trained on roughly 929K datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 26 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Mobvoi, Williams College
Country of organization: China, United States
Domain: Language
Task: Language modeling
Parameters: 7,000,000
Dataset size: 929K
Model accessibility: Unreleased
Open weights: No
Citations: 26
Epoch confidence: Confident