Edit model card

Model Card for Model ID

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.

[More Information Needed]

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

Downloads last month
9
Safetensors
Model size
582M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Nhoseinnia/MT5base_en2fa_translation