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afriteva_base
Model desription
AfriTeVa base is a sequence to sequence model pretrained on 10 African languages
Languages
Afaan Oromoo(orm), Amharic(amh), Gahuza(gah), Hausa(hau), Igbo(igb), Nigerian Pidgin(pcm), Somali(som), Swahili(swa), Tigrinya(tig), Yoruba(yor)
More information on the model, dataset:
The model
- 229M parameters encoder-decoder architecture (T5-like)
- 12 layers, 12 attention heads and 512 token sequence length
The dataset
- Multilingual: 10 African languages listed above
- 143 Million Tokens (1GB of text data)
- Tokenizer Vocabulary Size: 70,000 tokens
Training Procedure
For information on training procedures, please refer to the AfriTeVa paper or repository
BibTex entry and Citation info
coming soon ...