This repository focuses on fine-tuning the NLLB model using a custom translation dataset stored in GCS. The model is evaluated based on BLEU and ROUGE scores to assess its translation performance. Checkpoints and model outputs are uploaded to GCS, with training and evaluation strategies optimized for efficient cloud-based machine learning workflows - View it on GitHub