metadata

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

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

This model is a fine-tuned version of 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