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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-es-finetuned-es-to-maq
    results: []

opus-mt-en-es-finetuned-es-to-maq

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7414
  • Bleu: 6.663
  • Gen Len: 94.437

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 199 2.3505 2.7386 127.0327
No log 2.0 398 2.0862 4.4403 97.3489
2.643 3.0 597 1.9576 5.2104 98.7116
2.643 4.0 796 1.8831 5.4016 98.4962
2.643 5.0 995 1.8320 5.6026 96.1826
1.9678 6.0 1194 1.7944 6.374 95.1398
1.9678 7.0 1393 1.7726 6.514 94.83
1.8281 8.0 1592 1.7551 6.7802 95.194
1.8281 9.0 1791 1.7451 6.7625 94.2091
1.8281 10.0 1990 1.7414 6.663 94.437

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3