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README.md
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model-index:
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- name: mbart-large-50-English_German_Translation
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mbart-large-50-English_German_Translation
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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## Model description
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Here is the link to the script I created to train this model:
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https://github.com/DunnBC22/NLP_Projects/blob/main/Machine%20Translation/NLP%20Translation%20Project-EN:DE.ipynb
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## Intended uses & limitations
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## Training and evaluation data
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Here is a the link to the page where I found this dataset:
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https://www.kaggle.com/datasets/hgultekin/paralel-translation-corpus-in-22-languages
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## Training procedure
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- Transformers 4.22.2
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- Pytorch 1.12.1
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- Datasets 2.5.2
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- Tokenizers 0.12.1
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model-index:
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- name: mbart-large-50-English_German_Translation
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results: []
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language:
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- en
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- de
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# mbart-large-50-English_German_Translation
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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## Model description
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Here is the link to the script I created to train this model: https://github.com/DunnBC22/NLP_Projects/blob/main/Machine%20Translation/NLP%20Translation%20Project-EN:DE.ipynb
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## Intended uses & limitations
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This model is intended to demonstrate my ability to solve a complex problem using technology.
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## Training and evaluation data
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Here is a the link to the page where I found this dataset: https://www.kaggle.com/datasets/hgultekin/paralel-translation-corpus-in-22-languages
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## Training procedure
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- Transformers 4.22.2
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- Pytorch 1.12.1
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- Datasets 2.5.2
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- Tokenizers 0.12.1
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