---
license: apache-2.0
language:
- zh
- en
model-index:
  - name: skNMT-zh-en-1.2
    results:
      - task:
          type: translation
        metrics:
          - name: BLEU
            type: BLEU
            value: 20.4218
          - name: chrF
            type: chrf
            value: 50.2827
        dataset:
          name: WMT 2019
          type: wmt/wmt19
---
# skNMT-zh-en-1.2

The NMT (Neural Machine Translation) model trained by sparkastML for translating from Chinese to English.

This model use [OpenNMT](https://opennmt.net/) as its underlying structure.

## Usage

We have already exported the model into CTranslate2-compatible format. You can download the necessary files (`model.bin`, `config.json` and `shared_vocabulary.json`), 
and start with the [CTranslate2](https://github.com/OpenNMT/CTranslate2).

We alsow provide the training checkpoint and the sentencepiece model, so you can manually inference via OpenNMT.

## Model Details

- **Source Language:** Chinese (Simplified)
- **Target Language:** English
- **Training Time:** Totally 11.3 hours, 46,500 steps (~1×10¹⁸ FLOPs)
- **Training Device:**
  - RTX 3080 (20GB): step 0-20,000 
  - RTX 4070: step 20,000-46,500 
- **Corpus Size:** Over 10 million sentences
- **Validation BLEU Score:** 21.28
- **Validation Loss (Cross Entropy):** 3.152