README.md

metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: kabelomalapane/Helsinki-NLP-opus-finetuned-en-to-zu
    results: []

kabelomalapane/Helsinki-NLP-opus-finetuned-en-to-zu

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

• Train Loss: 1.7292
• Validation Loss: 1.6529
• Epoch: 1

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 783, '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
2.1622	1.7379	0
1.7292	1.6529	1

Framework versions

• Transformers 4.16.2
• TensorFlow 2.8.0
• Datasets 1.18.3
• Tokenizers 0.11.0