
# Fairseq Ro-En NMT WMT20 MLQE

This repository contains the Romanian-English model trained with the [fairseq toolkit](https://github.com/pytorch/fairseq) that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the [MLQE dataset](https://github.com/facebookresearch/mlqe).

The checkpoint was converted from the original fairseq checkpoint available [here](https://github.com/facebookresearch/mlqe/tree/master/nmt_models) using the `convert_fsmt_original_pytorch_checkpoint_to_pytorch.py` script from the 🤗 Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
{"language": ["en", "ro", "multilingual"], "license": "cc-by-sa-4.0", "tags": ["translation", "wmt20"], "datasets": ["wmt/europarl", "setimes"], "widget": [{"text": "Limba rom\u00e2n\u0103 este o limb\u0103 indo-european\u0103 din grupul italic \u0219i din subgrupul oriental al limbilor romanice. Printre limbile romanice, rom\u00e2na este a cincea dup\u0103 num\u0103rul de vorbitori, \u00een urma spaniolei, portughezei, francezei \u0219i italienei."}, {"text": "Scalia s-a n\u0103scut \u00een Trenton, statul New Jersey. A studiat la liceul Xavier High School din Manhattan, \u0219i apoi la colegiul de arte liberale al Universit\u0103\u021bii Georgetown din Washington, D.C."}, {"text": "Totu\u0219i, este amenin\u021bat\u0103 de alter\u0103ri ale habitatului s\u0103u, iar \u00een Ucraina \u0219i partea european\u0103 din arealul s\u0103u a Rusiei este \u00een declin rapid"}]}
transformers pytorch fsmt text2text-generation translation wmt20 en ro multilingual dataset:wmt/europarl dataset:setimes license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ro #multilingual #dataset-wmt/europarl #dataset-setimes #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# Fairseq Ro-En NMT WMT20 MLQE

This repository contains the Romanian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
# Fairseq Ro-En NMT WMT20 MLQE

This repository contains the Romanian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ro #multilingual #dataset-wmt/europarl #dataset-setimes #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Fairseq Ro-En NMT WMT20 MLQE

This repository contains the Romanian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.
TAGS
#transformers #pytorch #fsmt #text2text-generation #translation #wmt20 #en #ro #multilingual #dataset-wmt/europarl #dataset-setimes #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# Fairseq Ro-En NMT WMT20 MLQE

This repository contains the Romanian-English model trained with the fairseq toolkit that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the MLQE dataset.

The checkpoint was converted from the original fairseq checkpoint available here using the 'convert_fsmt_original_pytorch_checkpoint_to_pytorch.py' script from the  Transformers library (v4.26.0).

Please refer to the repositories linked above for additional information on usage, parameters and training data.