Merge branch 'main' of https://huggingface.co/Unbabel/wmt20-comet-da into main

README.md

@@ -1,101 +1,104 @@
 ---
 pipeline_tag: translation
 language:
-  - multilingual
-  - af
-  - am
-  - ar
-  - as
-  - az
-  - be
-  - bg
-  - bn
-  - br
-  - bs
-  - ca
-  - cs
-  - cy
-  - da
-  - de
-  - el
-  - en
-  - eo
-  - es
-  - et
-  - eu
-  - fa
-  - fi
-  - fr
-  - fy
-  - ga
-  - gd
-  - gl
-  - gu
-  - ha
-  - he
-  - hi
-  - hr
-  - hu
-  - hy
-  - id
-  - is
-  - it
-  - ja
-  - jv
-  - ka
-  - kk
-  - km
-  - kn
-  - ko
-  - ku
-  - ky
-  - la
-  - lo
-  - lt
-  - lv
-  - mg
-  - mk
-  - ml
-  - mn
-  - mr
-  - ms
-  - my
-  - ne
-  - nl
-  - 'no'
-  - om
-  - or
-  - pa
-  - pl
-  - ps
-  - pt
-  - ro
-  - ru
-  - sa
-  - sd
-  - si
-  - sk
-  - sl
-  - so
-  - sq
-  - sr
-  - su
-  - sv
-  - sw
-  - ta
-  - te
-  - th
-  - tl
-  - tr
-  - ug
-  - uk
-  - ur
-  - uz
-  - vi
-  - xh
-  - yi
-  - zh
+- multilingual
+- af
+- am
+- ar
+- as
+- az
+- be
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- cy
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- fy
+- ga
+- gd
+- gl
+- gu
+- ha
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- jv
+- ka
+- kk
+- km
+- kn
+- ko
+- ku
+- ky
+- la
+- lo
+- lt
+- lv
+- mg
+- mk
+- ml
+- mn
+- mr
+- ms
+- my
+- ne
+- nl
+- 'no'
+- om
+- or
+- pa
+- pl
+- ps
+- pt
+- ro
+- ru
+- sa
+- sd
+- si
+- sk
+- sl
+- so
+- sq
+- sr
+- su
+- sv
+- sw
+- ta
+- te
+- th
+- tl
+- tr
+- ug
+- uk
+- ur
+- uz
+- vi
+- xh
+- yi
+- zh
 license: apache-2.0
+tags:
+- arXiv:2010.15535
+- PyTorch
 ---
 
 This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference.
@@ -106,7 +109,11 @@ This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receive
 
 [Unbabel’s Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101) (Rei et al., WMT 2020)
 
-## Usage (unbabel-comet)
+# License
+
+Apache-2.0
+
+# Usage (unbabel-comet)
 
 Using this model requires unbabel-comet to be installed:
 
@@ -138,16 +145,16 @@ model_output = model.predict(data, batch_size=8, gpus=1)
 print (model_output)
 ```
 
-## Intended uses
+# Intended uses
 
 Our model is intented to be used for **MT evaluation**. 
 
 Given a a triplet with (source sentence, translation, reference translation) outputs a single score. This score is unbounded but typically falls between -1 and 1 where 1 reflects a perfect translation.
 
-## Languages Covered:
+# Languages Covered:
 
 This model builds on top of XLM-R which cover the following languages:
 
 Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali Romanized, Bosnian, Breton, Bulgarian, Burmese, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskri, Scottish, Gaelic, Serbian, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uyghur, Uzbek, Vietnamese, Welsh, Western, Frisian, Xhosa, Yiddish.
 
-Thus, results for language pairs containing uncovered languages are unreliable!
+Thus, results for language pairs containing uncovered languages are unreliable!