Update README.md

README.md

@@ -6,19 +6,19 @@ language:
 datasets:
 - JW300 + [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
 ---
-# byt5-base-eng_yor_mt
+# byt5-base-eng-yor-mt
 ## Model description
-**byt5_base_yor_eng_mt** is a **machine translation** model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a **strong baseline** for automatically translating texts from English to Yorùbá.  
+**byt5-base-eng-yor-mt** is a **machine translation** model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a **strong baseline** for automatically translating texts from English to Yorùbá.  
 
 Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
 
 #### 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.  
+This model is limited by its training dataset. This may not generalize well for all use cases in different domains.  
 ## Training data
 This model was fine-tuned on on  JW300 corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) dataset
 
 ## Training procedure
-This model was trained on a single NVIDIA V100 GPU
+This model was trained on NVIDIA V100 GPU
 
 ## Eval results on Test set (BLEU score)
 Fine-tuning byt5-base achieves **12.23 BLEU** on [Menyo-20k test set](https://arxiv.org/abs/2103.08647) while mt5-base achieves 9.82