megatron.bert-base.wordpiece-64k-pretok.25k-steps
This BERT model was trained using the NeMo library. The size of the model is a regular bert-large. The model was trained on more than 245GB of data, consisting mostly of web-data and Swedish newspaper text curated by the National Library of Sweden.
Training was done for 25k training steps using a batch size of 8k.
The model has multiple sibling models trained on the same dataset using different tokenizers or more/less parameters:
- megatron.bert-base.bpe-32k-no_pretok.25k-steps
- megatron.bert-base.bpe-64k-no_pretok.25k-steps
- megatron.bert-base.spe-bpe-32k-no_pretok.25k-steps
- megatron.bert-base.spe-bpe-32k-pretok.25k-steps
- megatron.bert-base.spe-bpe-64k-no_pretok.25k-steps
- megatron.bert-base.spe-bpe-64k-pretok.25k-steps
- megatron.bert-base.unigram-32k-no_pretok.25k-steps
- megatron.bert-base.unigram-32k-pretok.25k-steps
- megatron.bert-base.unigram-64k-no_pretok.25k-steps
- megatron.bert-base.unigram-64k-pretok.25k-steps
- megatron.bert-base.wordpiece-32k-no_pretok.25k-steps
- megatron.bert-base.wordpiece-32k-pretok.25k-steps
- megatron.bert-base.wordpiece-64k-no_pretok.25k-steps
- megatron.bert-base.wordpiece-64k-pretok.25k-steps
- megatron.bert-large.bpe-64k-no_pretok.25k-steps
- megatron.bert-large.spe-bpe-32k-pretok.25k-steps
- megatron.bert-large.unigram-32k-pretok.25k-steps
- megatron.bert-large.unigram-64k-pretok.25k-steps
- megatron.bert-large.wordpiece-32k-pretok.25k-steps
- megatron.bert-large.wordpiece-64k-pretok.25k-steps
Acknowledgements
The training was performed on the Luxembourg national supercomputer MeluXina. The authors gratefully acknowledge the LuxProvide teams for their expert support.
- Downloads last month
- 1
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.