Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,38 @@
|
|
1 |
-
---
|
2 |
-
license: cc-by-sa-4.0
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: cc-by-sa-4.0
|
3 |
+
datasets:
|
4 |
+
- Mitsua/wikidata-parallel-descriptions-en-ja
|
5 |
+
language:
|
6 |
+
- ja
|
7 |
+
- en
|
8 |
+
metrics:
|
9 |
+
- bleu
|
10 |
+
- chrf
|
11 |
+
library_name: transformers
|
12 |
+
pipeline_tag: translation
|
13 |
+
---
|
14 |
+
# ElanMT
|
15 |
+
This model is a tiny variant of [**ElanMT-BT-ja-en**](https://huggingface.co/Mitsua/elan-mt-bt-ja-en) and is trained from scratch exclusively on openly licensed data and Wikipedia back translated data using [**ElanMT-base-en-ja**](https://huggingface.co/Mitsua/elan-mt-base-en-ja).
|
16 |
+
|
17 |
+
## Model Details
|
18 |
+
This is a translation model based on [Marian MT](https://marian-nmt.github.io/) 4-layer encoder-decoder transformer architecture with sentencepiece tokenizer.
|
19 |
+
- **Developed by**: [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine
|
20 |
+
- **Model type**: Translation
|
21 |
+
- **Source Language**: Japanese
|
22 |
+
- **Target Language**: English
|
23 |
+
- **License**: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
|
24 |
+
|
25 |
+
## Usage
|
26 |
+
[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#usage)
|
27 |
+
|
28 |
+
## Training Data
|
29 |
+
[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#training-data)
|
30 |
+
|
31 |
+
## Training Procedure
|
32 |
+
[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#training-procedure)
|
33 |
+
|
34 |
+
## Evaluation
|
35 |
+
[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#evaluation)
|
36 |
+
|
37 |
+
## Disclaimer
|
38 |
+
The translated result may be very incorrect, harmful or biased. The model was developed to investigate achievable performance with only a relatively small, licensed corpus, and is not suitable for use cases requiring high translation accuracy. Under Section 5 of the CC BY-SA 4.0 License, ELAN MITSUA Project / Abstract Engine is not responsible for any direct or indirect loss caused by the use of the model.
|