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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: hensinki-en-es-finetuned-spanish-to-english-tateoba
    results: []

hensinki-en-es-finetuned-spanish-to-english-tateoba

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7389
  • Bleu: 47.2153
  • Gen Len: 13.8167

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.9651 1.0 7069 0.8372 43.0236 13.7961
0.8011 2.0 14138 0.7389 47.2153 13.8167

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2