translate-lt-eo / README.md
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Model card: correct licence metadata, add LICENSE, link windytranslate.com
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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-lt-eo
library_name: transformers
pipeline_tag: translation
tags:
- translation
- marian
---
# translate-lt-eo
> Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-lt-eo
Machine translation model, `lt` to `eo`, published by Windstorm Labs.
## Attribution
Derived from [`Helsinki-NLP/opus-mt-lt-eo`](https://huggingface.co/Helsinki-NLP/opus-mt-lt-eo), licensed **apache-2.0**.
Windstorm Labs did not train the original model. This notice provides the attribution the
licence requires.
## What was changed
**The weights in this repository have been modified from the original.** A deliberate, documented and reproducible numerical transformation applied to the base weights. It is not a training run and is not described as one.
| | |
|---|---|
| Method | `epsilon-noise-fog` |
| Tensors modified | **72 of 254** |
| Max absolute weight delta | **5.234e-07** |
| Verified | tensor-by-tensor against the upstream original, 2026-07-26 |
The comparison is tensor-level rather than file-level: safetensors and PyTorch `.bin`
containers hash differently even when the tensors inside are identical, so a file-hash
mismatch would prove nothing.
## Contents
A single transformers build in safetensors format, loadable directly:
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tok = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-eo")
model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-eo")
batch = tok(["<your text here>"], return_tensors="pt", padding=True)
print(tok.batch_decode(model.generate(**batch), skip_special_tokens=True))
```
Other builds of this pair, including CTranslate2 INT8, are not included in this repository.
## Evaluation
| Benchmark | chrF++ | BLEU | Band |
|---|---:|---:|---|
| FLORES-200 dev, 48 sentences (Lithuanian → Esperanto) | 19.70 | 2.61 | Limited |
Measured 2026-08-04; screening score, not a publication result. Bands: Excellent ≥60, Good 45–60, Usable 30–45, Limited 15–30, Not recommended <15 (chrF++).
## Limitations
- A single language direction: `lt` to `eo`.
- The evaluation above is a 48-sentence screening score, not a publication result. The weights are
verified to differ from the original; that is a statement about provenance.
- Quality is not monotonic with model size or with the amount of fine-tuning applied.