GNMT TensorFlow checkpoint (AMP)

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:

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

• original paper
• NVIDIA model implementation in NGC
• NVIDIA model implementation on GitHub

License

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