---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ro
tags:
- generated_from_trainer
model-index:
- name: translation-opus-mt-en-ro-finetuned-en-to-ro
  results: []
datasets:
- Open-Orca/OpenOrca
metrics:
- bleu
pipeline_tag: translation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# translation-opus-mt-en-ro-finetuned-en-to-ro

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3443
- eval_bleu: 27.5528
- eval_gen_len: 34.1251
- eval_runtime: 165.0632
- eval_samples_per_second: 12.111
- eval_steps_per_second: 0.757
- epoch: 2.0
- step: 76290

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0