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BR_BERTo model card (#6793)

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Rodolfo De Nadai
2020-08-30 08:02:46 -03:00
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model_cards/rdenadai/BR_BERTo/README.md
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@@ -14,13 +14,17 @@ Portuguese (Brazil) model for text inference.
## Params
Trained on a corpus of 5_258_624 sentences, with 132_807_374 non unique tokens (992_418 unique tokens).
Trained on a corpus of 6_993_330 sentences.
- Vocab size: 220_000
- RobertaForMaskedLM size : 32
- Num train epochs: 2
- Time to train: ~23hs (on GCP with a Nvidia T4)
- Vocab size: 150_000
- RobertaForMaskedLM size : 512
- Num train epochs: 3
- Time to train: ~10days (on GCP with a Nvidia T4)
I follow the great tutorial from HuggingFace team:
[How to train a new language model from scratch using Transformers and Tokenizers](https://huggingface.co/blog/how-to-train)
More infor here:
[BR_BERTo](https://github.com/rdenadai/BR-BERTo)