readme: ---
  language: 
  - ach 
  - en
  tags:
  - translation
  license: cc-by-4.0
  datasets:
  - JW300
  metrics:
  - bleu
  ---
  
  # HEL-ACH-EN
  
  ## Model description
  
  MT model translating Acholi to English initialized with weights from [opus-mt-luo-en](https://huggingface.co/Helsinki-NLP/opus-mt-luo-en) on HuggingFace.
  
  ## Intended uses & limitations
  Machine Translation experiments. Do not use for sensitive tasks.
  #### How to use
  
  ```python
  # You can include sample code which will be formatted
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  
  tokenizer = AutoTokenizer.from_pretrained("Ogayo/Hel-ach-en")
  
  model = AutoModelForSeq2SeqLM.from_pretrained("Ogayo/Hel-ach-en")
  
  ```
  
  #### Limitations and bias
  
  Trained on Jehovah Witnesses data so contains theirs and Christian views.
  
  ## Training data
  Trained on OPUS JW300 data.
  Initialized with weights from [opus-mt-luo-en](https://huggingface.co/Helsinki-NLP/opus-mt-luo-en?text=Bed+gi+nyasi+mar+chieng%27+nyuol+mopong%27+gi+mor%21#model_card)
  
  ## Training procedure
  
  Remove duplicates and rows with no alphabetic characters. Used GPU
  ## Eval results
  testset | BLEU 
  --- | --- 
  JW300.luo.en| 46.1
  