BabyLM
Collection
UT Austin's model submissions to BabyLM challenge.
•
7 items
•
Updated
•
1
Lil-Bevo-X
Lil-Bevo-X is UT Austin's submission to the BabyLM challenge, specifically the strict track.
Model training regime:
- 5 epochs on MAESTRO dataset (85M non-language music tokens) combined with strict small dataset.
- 50 epochs of pretraining with sequence length of 128 on strict dataset.
- 150 epochs of pretraining with sequence length of 512 on strict dataset.
- 10 epochs of targeted MLM.
This README will be updated with more details soon.
- Downloads last month
- 23
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.