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This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
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
This model is intended to demonstrate my ability to solve a complex problem using technology.
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
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | RougeL | RougeLsum | Meteor |
---|---|---|---|---|---|---|---|---|---|
1.7738 | 1.0 | 900 | 1.2342 | 35.7436 | 0.5806 | 0.3941 | 0.5442 | 0.5444 | 0.5512 |