--- library_name: transformers license: apache-2.0 base_model: Ellight/opus-mt-hi-en-finetuned-hi-to-en tags: - generated_from_trainer model-index: - name: opus-mt-hi-en-finetuned-hi-to-en-finetuned-hi-to-en-idioms results: [] --- # opus-mt-hi-en-finetuned-hi-to-en-finetuned-hi-to-en-idioms This model is a fine-tuned version of [Ellight/opus-mt-hi-en-finetuned-hi-to-en](https://huggingface.co/Ellight/opus-mt-hi-en-finetuned-hi-to-en) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 64 - eval_batch_size: 8 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.20.3