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en-dag-translator
abdulhafis/en-dag-translator
en-dag-translator is a translation model from abdulhafis. Use it when you need text moved from one language to another. The card lists the license as mit.
A custom Seq2Seq Encoder-Decoder Transformer translation model trained from scratch to translate English to Dagbani (ISO 639-3 dag).
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Public
Updated Aug 15, 2026
Repo size
828 MB
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.pt1.7 GB · 100%
At a glance
- Task
- Translation
- License
- mit
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 58f9a45b
Try a prompt
Model card
From the Hugging Face model README
English-to-Dagbani Seq2Seq Translation Model — translation_v1
A custom Seq2Seq Encoder-Decoder Transformer translation model trained from scratch to translate English to Dagbani (ISO 639-3 dag).
Metrics (Gold Standard Test Set)
| Metric | Value |
|---|---|
| Corpus BLEU | 0.00 |
| Corpus chrF++ | 0.00 |
| Parameters | 81.2M |
| Bilingual Tokenizer | dag_en_unigram_24k (SentencePiece unigram, joint 24k) |
Training Details
- Dataset: Clean English-Dagbani parallel corpus (~78k sentence pairs).
- Architecture: 6 encoder layers, 6 decoder layers, SwiGLU activation, RoPE positional embedding.
- Source Repository: https://github.com/pious2847/Dagbani-NLP_V2
Usage
The checkpoint can be loaded and executed using the source code in src/translation/eval_translation.py.
- Task
- Translation
- License
- mit
- Languages
- en, dag
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026