Davlan
/

bert-base-multilingual-cased-finetuned-yoruba

Fill-Mask Transformers PyTorch TensorFlow JAX bert Inference Endpoints

Model card Files Files and versions Community

Davlan commited on May 9, 2021

Commit

b301f84

•

1 Parent(s): ae4e2be

updating yoruba readme

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -37,7 +37,7 @@ You can use this model with Transformers *pipeline* for masked token prediction.
 #### Limitations and bias
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.
 ## Training data
-This model was fine-tuned on Bible, JW300, [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt), [Yoruba Embedding corpus(https://huggingface.co/datasets/yoruba_text_c3) and [CC-Aligned](https://opus.nlpl.eu/), Wikipedia, news corpora (BBC Yoruba, VON Yoruba, Asejere, Alaroye), and other small datasets curated from friends.
 ## Training procedure
 This model was trained on a single NVIDIA V100 GPU

 #### Limitations and bias
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.
 ## Training data
+This model was fine-tuned on Bible, JW300, [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt), [Yoruba Embedding corpus](https://huggingface.co/datasets/yoruba_text_c3) and [CC-Aligned](https://opus.nlpl.eu/), Wikipedia, news corpora (BBC Yoruba, VON Yoruba, Asejere, Alaroye), and other small datasets curated from friends.
 ## Training procedure
 This model was trained on a single NVIDIA V100 GPU