I have made a working user interactive Gradio Language Translation model which translates any English sentence into French sentence. For this i have fine tuned a pre trained model which i have used from HuggingFace. Make a local directory of this repo in your computer using git clone function on your terminal and then in your terminal switch to the directory of this repo on your computer and then just type python gradio_LT.py to start the user interface for translation. I have saved the code in LS_Project_LT.ipynb

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset. I have used this model to convert English sentence to French. It achieves the following results on the evaluation set:

I have used the inbuilt features of transformers to make this model. The model is made from AutoModelForSeq2SeqLM and i have tokenized the dataset accoding to the pre trained model.

I have used the Sacrebleu method to evaluate my model which is generally used in language translation. It compares the number of common words in predicted and correct output and then gives its correctness.

I have used the Seq2SeqTrainer function to train my dataset over the pre trained model.The specific parameters are given below which i have used.

The following hyperparameters were used during training:

The model achieves the following results on the evaluation set:

I have made a separate file gradio_LT.py. By running this file you will directly see a gradio user interface through which you translate sentences. The only prerequisite is that transformers, gradio, sentencepiece should be pre downloaded in your environment.