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--- |
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library_name: transformers |
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license: mit |
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datasets: |
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- persiannlp/parsinlu_translation_en_fa |
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language: |
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- fa |
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pipeline_tag: text2text-generation |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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using Mt5-Base for english to persian translation |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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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. |
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- **Model type:** MT5-base. |
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- **Language(s) (NLP):** english to persian. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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this model train with 36.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet |
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#### Training Hyperparameters |
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- **Number of Epochs:** 2 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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- **Training Batch Size:** 8 |
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- **evaluation Batch Size:** 8 |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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this model test with 4.000 text en 2 fa from persiannlp/parsinlu_translation_en_fa dataSet |
