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using Mt5-Base for english to persian translation

Model Description

This model is designed to automatically translate English text to Farsi, which uses the pre-trained model of MT5, which is a multilingual seq2seq model.

  • Model type: MT5-base.
  • Language(s) (NLP): english to persian.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

this model train with 36.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet

Training Hyperparameters

  • Number of Epochs: 2
  • Training Batch Size: 8
  • evaluation Batch Size: 8

Testing Data, Factors & Metrics

Testing Data

this model test with 4.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet

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Model size
582M params
Tensor type
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Dataset used to train Nhoseinnia/MT5base_en2fa_translation