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

The following image shows the GNMT model architecture:

$\"TrainingLoss\"$

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_tf1/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_tf1)\n- [NVIDIA model implementation on GitHub](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/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/TensorFlow/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 TensorFlow checkpoint (AMP)",["D",1680637301979],"publisher","NVIDIA Deep Learning Examples","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/dle/models/gnmt__tf1_ckpt","rawImageUrl","https://assets.nvidiagrid.net/ngc/logos/Deep-Learning-Examples.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[269,270],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_238":277,"_112":277,"_272":278,"_274":275},{"_238":271,"_112":271,"_272":273,"_274":275},"NLU","filter",{"_276":275,"_112":271},"category","label","field","NLP",{"_276":275,"_112":277},{"_152":1254,"_154":1255},"ngcApps",[1207],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1188":1189,"_1190":1191,"_1192":1193,"_1194":1195,"_1196":290,"_183":316,"_1197":1198,"_1199":59,"_1200":131,"_1201":131,"_1202":1203,"_1204":131,"_1205":1206},"amplitude",{"_1185":1186,"_828":-7,"_1187":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1179":1180,"_1181":1182,"_1183":1184},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787560845118,"1.12.0","defaultSearchSuggestions",{"_1067":211,"_1068":1069,"_1070":1071,"_1072":1073},"announcements",[],"consentState",{"_354":1057,"_1058":131,"_1059":34,"_1060":34,"_1061":1062},"consentConfig",{"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351,"_352":353,"_354":355},"showContactAdmin",1787560845119,[],[],[330,331,332,333,334,335],{"_48":62,"_50":72,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":69,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":67,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":62,"_50":63,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":147,"_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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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","nv_co","__uxq412__ses.88c1","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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Key	Value
bs	1536
training_precision	AMP
epochs	6
dataset	WMT16 EN-DE