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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: mariav/helsinki-opus-de-en-fine-tuned-wmt16
    results: []
datasets:
  - wmt16
language:
  - de
  - en
metrics:
  - bleu
pipeline_tag: translation

mariav/helsinki-opus-de-en-fine-tuned-wmt16

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on the wmt16. It achieves the following results on the evaluation set:

  • Train Loss: 1.0077
  • Validation Loss: 1.4381
  • Epoch: 4

Model description

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en with the dataset wmt16 for the pair of languages german-english. A tutorial for this task is available in the files.

Intended uses & limitations

Limitations: scholar use.

Training and evaluation data

Training done with keras from Transformers. Evaluation with Bleu score.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1245, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
1.5115 1.4061 0
1.2931 1.4111 1
1.1590 1.4200 2
1.0644 1.4324 3
1.0077 1.4381 4

Framework versions

  • Transformers 4.27.4
  • TensorFlow 2.12.0
  • Datasets 2.11.0
  • Tokenizers 0.13.2