--- language: - multilingual - en tags: - translation - transformers - marian - opus-mt - multi-en datasets: - TartarusXXX/synthetic-parallel-16lang-1-4m-gemini-3-1-flash-lite --- # synthetic-n2en-marian-transformers This repository contains a Marian NMT checkpoint packaged in OPUS-MT style. ## Model Details - Source language: `multi` (Multilingual) - Target language: `en` (English) - Task: translation - Framework: Marian NMT - Training data: `TartarusXXX/synthetic-parallel-16lang-1-4m-gemini-3-1-flash-lite` - Validation set: `bouquet-dev-n2en` Evaluation target languages: `tr`, `kmr`, `de`, `es`, `fr`, `el`, `bg`, `ru`, `ka`, `hy`, `fa`, `ckb`, `ur`, `ar` ## Validation - Best `bleu`: `28.8111` - Epoch: `9` - Update: `318000` - Timestamp: `2026-06-17 05:14:00` - Validation set: `bouquet-dev-n2en` Raw best line: ```text [2026-06-17 05:14:00] [valid] Ep. 9 : Up. 318000 : bleu : 28.8111 : new best ``` Recent validation results: | Timestamp | Epoch | Update | Metric | Score | Status | | --- | ---: | ---: | --- | ---: | --- | | 2026-06-17 03:29:32 | 8 | 291500 | bleu | 28.5341 | stalled 2 times (last best: 28.6381) | | 2026-06-17 05:14:00 | 9 | 318000 | bleu | 28.8111 | new best | | 2026-06-17 06:58:36 | 10 | 344500 | bleu | 28.621 | stalled 1 times (last best: 28.8111) | | 2026-06-17 08:41:49 | 10 | 371000 | bleu | 28.5135 | stalled 2 times (last best: 28.8111) | | 2026-06-17 10:26:14 | 11 | 397500 | bleu | 26.9018 | stalled 3 times (last best: 28.8111) | | 2026-06-17 12:10:50 | 12 | 424000 | bleu | 27.974 | stalled 4 times (last best: 28.8111) | | 2026-06-17 13:54:10 | 12 | 450500 | bleu | 27.0804 | stalled 5 times (last best: 28.8111) | | 2026-06-17 15:38:45 | 13 | 477000 | bleu | 27.3126 | stalled 6 times (last best: 28.8111) | | 2026-06-17 17:23:19 | 14 | 503500 | bleu | 27.4481 | stalled 7 times (last best: 28.8111) | | 2026-06-17 19:06:45 | 14 | 530000 | bleu | 26.43 | stalled 8 times (last best: 28.8111) | | 2026-06-17 20:51:24 | 15 | 556500 | bleu | 26.6759 | stalled 9 times (last best: 28.8111) | | 2026-06-17 22:36:11 | 16 | 583000 | bleu | 26.0265 | stalled 10 times (last best: 28.8111) | ## Files - `synthetic_parallel_16lang_1_4m_gemini_3_1_flash_lite.spm32k-spm32k.transformer.model1.npz.best-bleu.npz` - `synthetic_parallel_16lang_1_4m_gemini_3_1_flash_lite.spm32k-spm32k.vocab.yml` - `opus.trg.spm32k-model` - `opus.src.spm32k-model` - `hf-csv-synthetic.n2en.bouquet.transformer.mk` - `synthetic_parallel_16lang_1_4m_gemini_3_1_flash_lite.spm32k-spm32k.transformer.model1.npz.yml` - `synthetic_parallel_16lang_1_4m_gemini_3_1_flash_lite.spm32k-spm32k.transformer.train1.log` - `synthetic_parallel_16lang_1_4m_gemini_3_1_flash_lite.spm32k-spm32k.transformer.valid1.log` - `bouquet-dev-n2en.best-bleu.validation-style-spm.tsv` - `bouquet-dev-n2en.best-bleu.validation-style-spm.md` - `best-bleu.decoder.yml` - `translate_with_marian.py` ## Usage Install Marian and run: ```bash python translate_with_marian.py --decoder best-bleu.decoder.yml output.txt ``` The decoder YAML uses paths relative to this repository. ## Conversion Converted from the Marian checkpoint in `TartarusXXX/synthetic-n2en-marian` using the Transformers Marian converter. - Source language: `multi` - Target languages: `en` ## Transformers Usage ```python from transformers import AutoModelForSeq2SeqLM, AutoTokenizer model_name = "TartarusXXX/synthetic-n2en-marian-transformers" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForSeq2SeqLM.from_pretrained(model_name) # This model was trained as `multi` -> `en`. # If the Marian training data uses target-language tags, include the desired # target tag in the source sentence, following the training convention. inputs = tokenizer("Hello world!", return_tensors="pt") outputs = model.generate(**inputs) print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]) ```
