GPT-Neo Romanian 780M
This model is a GPT-Neo transformer decoder model designed using EleutherAI's replication of the GPT-3 architecture.
It was trained on a thoroughly cleaned corpus of Romanian text of about 40GB composed of Oscar, Opus, Wikipedia, literature and various other bits and pieces of text, joined together and deduplicated. It was trained for about a month, totaling 1.5M steps on a v3-32 TPU machine.
Authors:
- Dumitrescu Stefan
- Mihai Ilie
Evaluation
Evaluation to be added soon, also on https://github.com/dumitrescustefan/Romanian-Transformers
Acknowledgements
Thanks TPU Research Cloud for the TPUv3 machine needed to train this model!
- Downloads last month
- 203
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.