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+---
+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