offiongbassey/efik-mt

Efik ↔ English Translation Model

This model provides machine translation between English and Efik. It was fine-tuned on 18k+ parallel sentences using the NLLB architecture and can be used for both direct translation and integration into multilingual NLP pipelines.

Uses

• Translate text between English and Efik.
• Assist in educational or localization projects involving Efik.
• Support research in low-resource language NLP.

Limitations

• Due to limited data, performance may decrease for long, complex, or domain-specific text.

How to Get Started

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("offiongbassey/efik-mt")
model = AutoModelForSeq2SeqLM.from_pretrained("offiongbassey/efik-mt")

# English → Efik
text = "My child is very sick and I need to take him to the hospital for treatment."
inputs = tokenizer(f"eng_Latn {text}", return_tensors="pt")
outputs = model.generate(**inputs, max_length=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

# Efik → English
text = "Okon ama adaha utom tọñọ usenubọk."
inputs = tokenizer(f"ibo_Latn {text}", return_tensors="pt")
outputs = model.generate(**inputs, max_length=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Details

• Architecture: NLLB
• Epochs trained: 8
• Learning Rate: 5e-05
• BLEU Scores:
  • EN → EF: 29.58
  • EF → EN: 32.14
• chrF:
  • EN → EF: 54.29
  • EF → EN: 48.78