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",[266,267],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_235":274,"_112":274,"_269":275,"_271":272},{"_235":268,"_112":268,"_269":270,"_271":272},"NLU","filter",{"_273":272,"_112":268},"category","label","field","NLP",{"_273":272,"_112":274},{"_152":1458,"_154":1459},"ngcApps",[1411],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1393":1394,"_1395":1396,"_1397":1398,"_1399":1400,"_1401":287,"_179":311,"_1402":1403,"_1391":59,"_1404":131,"_1405":131,"_1406":1407,"_1408":131,"_1409":1410},"amplitude",{"_1389":1390,"_1391":59,"_982":-7,"_1392":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBZmFsc2UlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1383":1384,"_1385":1386,"_1387":1388},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.4.0","defaultSearchSuggestions",{"_1256":209,"_1257":1258,"_1259":1260,"_1261":1262},"announcements",[],"consentState",{"_348":1246,"_1247":131,"_1248":34,"_1249":34,"_1250":1251},"consentConfig",{"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349},"showContactAdmin",1782433239631,[],[],[325,326,327,328,329],{"_48":63,"_50":73,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":70,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":64,"_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":53,"_54":55,"_56":57,"_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	1536
training_precision	AMP
epochs	6
dataset	WMT16 EN-DE