File size: 1,328 Bytes
a55a6e4 59293eb d1313b2 2da077c a55a6e4 ffaa239 a55a6e4 ffaa239 a55a6e4 ffaa239 a55a6e4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
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
|