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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-english-to-spanish-tateoba
    results: []

hensinki-en-es-finetuned-english-to-spanish-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: 0.5236
  • Bleu: 58.629
  • Gen Len: 8.6642

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

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.5416 1.0 7069 0.5150 58.2349 8.6272
0.457 2.0 14138 0.5116 58.5559 8.6372
0.4021 3.0 21207 0.5172 58.7017 8.6416
0.3477 4.0 28276 0.5202 58.6269 8.6579
0.3254 5.0 35345 0.5236 58.629 8.6642

Framework versions

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