license:apache-2.0 region:us
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license: apache-2.0
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This repository contains a Seq2Seq translation model trained to translate between English and Ewe using a custom dataset. The model leverages a Seq2Seq architecture with LSTM layers to perform machine translation tasks.

📖 Overview

The Seq2Seq model is designed to translate sentences between English and Ewe using a recurrent neural network architecture. This project aims to provide a reliable translation model that can be fine-tuned or used directly for translation tasks involving the English and Ewe languages.

🛠️ Model Architecture

Encoder: Embedding layer followed by LSTM layers to encode the input sentence.
Decoder: Embedding layer followed by LSTM layers to generate the output sentence.
Output Layer: A fully connected layer to predict the next word in the sequence.
