Model Overview

The GNMT v2 model is an improved version of the first Google's Neural Machine Translation System with a modified attention mechanism.

Model Architecture

$\"ModelArchitecture\"$

Training

This model was trained using script available on NGC and in GitHub repo.

Dataset

The following datasets were used to train this model:

WMT16 English-German - Dataset for machine translation.

Performance

Performance numbers for this model are available in NGC.

References

License

This model was trained using open-source software available in Deep Learning Examples repository.\nFor terms of use, please refer to the license of the script and the datasets the model was derived from.

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Dataset for machine translation.\n\n\n## Performance\n\nPerformance numbers for this model are available in [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/gnmt_pyt/performance).\n\n## References\n- [Original paper](https://arxiv.org/abs/1609.08144)\n- [NVIDIA model implementation in NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/gnmt_pyt)\n- [NVIDIA model implementation on GitHub](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/GNMT)\n\n## License\n\nThis model was trained using open-source software available in [Deep Learning Examples](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/GNMT) repository.\nFor terms of use, please refer to the license of the script and the datasets the model was derived from.","displayName","GNMT PyTorch checkpoint (AMP)",["D",1680638332039],"publisher","NVIDIA Deep Learning Examples","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/dle/models/gnmt__pyt_ckpt","rawImageUrl","https://assets.nvidiagrid.net/ngc/logos/Deep-Learning-Examples.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[273,274],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_242":281,"_113":281,"_276":282,"_278":279},{"_242":275,"_113":275,"_276":277,"_278":279},"NLU","filter",{"_280":279,"_113":275},"category","label","field","NLP",{"_280":279,"_113":281},{"_153":1455,"_155":1456},"ngcApps",[1408],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1389":1390,"_1391":1392,"_1393":1394,"_1395":1396,"_1397":294,"_184":318,"_1398":1399,"_1400":59,"_1401":133,"_1402":133,"_1403":1404,"_1405":133,"_1406":1407},"amplitude",{"_1386":1387,"_990":-7,"_1388":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1380":1381,"_1382":1383,"_1384":1385},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1264":216,"_1265":1266,"_1267":1268,"_1269":1270},"announcements",[],"consentState",{"_355":1254,"_1255":34,"_1256":34,"_1257":133,"_1258":1259},"consentConfig",{"_337":338,"_339":340,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356},"showContactAdmin",1784168837637,[],[],[332,333,334,335,336],{"_48":62,"_50":73,"_52":68,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":69,"_52":68,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":63,"_52":68,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":68,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":68,"_54":-5,"_56":-5,"_58":59},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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Key	Value
bs	1024
training_precision	AMP
epochs	6
gpu	V100
dataset	WMT16 EN-DE