Update README.md
Browse files
README.md
CHANGED
@@ -18,9 +18,16 @@ model-index:
|
|
18 |
---
|
19 |
# skNMT-zh-en-1.2
|
20 |
|
21 |
-
|
22 |
|
23 |
-
This
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
24 |
|
25 |
## Model Details
|
26 |
|
@@ -28,8 +35,8 @@ This modelcard aims to be a base template for new models. It has been generated
|
|
28 |
- **Target Language:** English
|
29 |
- **Training Time:** Totally 11.3 hours, 46,500 steps (~1×10¹⁸ FLOPs)
|
30 |
- **Training Device:**
|
31 |
-
- RTX 3080 (20GB): 0-20,000
|
32 |
-
- RTX 4070: 20,000-46,500
|
33 |
- **Corpus Size:** Over 10 million sentences
|
34 |
- **Validation BLEU Score:** 21.28
|
35 |
- **Validation Loss (Cross Entropy):** 3.152
|
|
|
18 |
---
|
19 |
# skNMT-zh-en-1.2
|
20 |
|
21 |
+
The NMT (Neural Machine Translation) model trained by sparkastML for translating from Chinese to English.
|
22 |
|
23 |
+
This model use [OpenNMT](https://opennmt.net/) as its underlying structure.
|
24 |
+
|
25 |
+
## Usage
|
26 |
+
|
27 |
+
We have already exported the model into CTranslate2-compatible format. You can download the necessary files (`model.bin`, `config.json` and `shared_vocabulary.json`),
|
28 |
+
and start with the [CTranslate2](https://github.com/OpenNMT/CTranslate2).
|
29 |
+
|
30 |
+
We alsow provide the training checkpoint and the sentencepiece model, so you can manually inference via OpenNMT.
|
31 |
|
32 |
## Model Details
|
33 |
|
|
|
35 |
- **Target Language:** English
|
36 |
- **Training Time:** Totally 11.3 hours, 46,500 steps (~1×10¹⁸ FLOPs)
|
37 |
- **Training Device:**
|
38 |
+
- RTX 3080 (20GB): step 0-20,000
|
39 |
+
- RTX 4070: step 20,000-46,500
|
40 |
- **Corpus Size:** Over 10 million sentences
|
41 |
- **Validation BLEU Score:** 21.28
|
42 |
- **Validation Loss (Cross Entropy):** 3.152
|