AWD-LSTM-MoS+PDR + dynamic evaluation (WT2)

Parameters

35M

Published

Aug 14, 2018

AWD-LSTM-MoS+PDR + dynamic evaluation (WT2) is an AI model developed by IBM (United States), first published in August 2018. 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 35,000,000 parameters. It was trained on roughly 2M datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 6 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: IBM
Country of organization: United States
Domain: Language
Task: Language modeling
Parameters: 35,000,000
Dataset size: 2M
Model accessibility: Unreleased
Open weights: No
Citations: 6
Epoch confidence: Confident