Minor changes.

README.md

@@ -1,33 +1,17 @@
----
-license: mit
-metrics:
-  - bleu
-base_model:
-  - facebook/nllb-200-distilled-600M
-pipeline_tag: translation
-tags:
-  - Efik
-  - English
-  - Translation
-  - Africa
----
+
 # Efik ↔ English Translation Model
 
-This model provides **machine translation between English (eng_Latn) and Efik (efik_Latn)**. 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.  
+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  
+- Translate text between English and Efik.  
+- Assist in educational or localization projects involving Efik.
+- Support research in low-resource language NLP.  
 
 ### Limitations
-
-- Performance may decrease for **long, complex, or domain-specific text**  
-- Model trained on general domain data, may need additional fine-tuning for specialized applications  
+- Due to limited data, performance may decrease for **long, complex, or domain-specific text**.  
 
 ### How to Get Started
-
 ```python
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
@@ -48,17 +32,8 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
 ### Training Details
-
 - Architecture: NLLB
 - Epochs trained: 3
 - BLEU Scores:
   - EN → EF: 27.69
   - EF → EN: 30.95
-
-### Citation
-@misc{offiongbassey2025efikmt,
-  title={Efik ↔ English Translation Model},
-  author={Offiong Bassey},
-  year={2025},
-  url={https://huggingface.co/offiongbassey/efik-mt}
-}