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opus-mt-en-ro-finetuned-en-to-fr

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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ro
tags:
  - generated_from_trainer
model-index:
  - name: opus-mt-en-ro-finetuned-en-to-fr
    results: []

opus-mt-en-ro-finetuned-en-to-fr

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the None 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: 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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 438 1.2560 51.0691 31.9984

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cpu
  • Datasets 2.16.1
  • Tokenizers 0.15.0