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library_name: transformers
license: mit
datasets:
- persiannlp/parsinlu_translation_en_fa
language:
- fa
pipeline_tag: text2text-generation
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
using Mt5-Base for english to persian translation
### Model Description
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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
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this model train with 36.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet
#### Training Hyperparameters
- **Number of Epochs:** 2 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
- **Training Batch Size:** 8
- **evaluation Batch Size:** 8
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
this model test with 4.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet |