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

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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', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5e-05, 'decaysteps': 1245, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecay_rate': 0.01}
• —trainingprecision: mixedfloat16

Training results

Framework versions

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