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  ---
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  # skNMT-zh-en-1.2
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- <!-- Provide a quick summary of what the model is/does. -->
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- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
 
 
 
 
 
 
 
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  ## Model Details
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  - **Target Language:** English
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  - **Training Time:** Totally 11.3 hours, 46,500 steps (~1×10¹⁸ FLOPs)
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  - **Training Device:**
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- - RTX 3080 (20GB): 0-20,000 steps
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- - RTX 4070: 20,000-46,500 steps
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  - **Corpus Size:** Over 10 million sentences
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  - **Validation BLEU Score:** 21.28
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  - **Validation Loss (Cross Entropy):** 3.152
 
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  # skNMT-zh-en-1.2
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+ The NMT (Neural Machine Translation) model trained by sparkastML for translating from Chinese to English.
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+ This model use [OpenNMT](https://opennmt.net/) as its underlying structure.
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+ ## Usage
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+ We have already exported the model into CTranslate2-compatible format. You can download the necessary files (`model.bin`, `config.json` and `shared_vocabulary.json`),
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+ and start with the [CTranslate2](https://github.com/OpenNMT/CTranslate2).
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+ We alsow provide the training checkpoint and the sentencepiece model, so you can manually inference via OpenNMT.
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  ## Model Details
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  - **Target Language:** English
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  - **Training Time:** Totally 11.3 hours, 46,500 steps (~1×10¹⁸ FLOPs)
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  - **Training Device:**
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+ - RTX 3080 (20GB): step 0-20,000
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+ - RTX 4070: step 20,000-46,500
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  - **Corpus Size:** Over 10 million sentences
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  - **Validation BLEU Score:** 21.28
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  - **Validation Loss (Cross Entropy):** 3.152