README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
  - generated_from_keras_callback
model-index:
  - name: tuan1011nguyen/finetuned-en-to-vi
    results: []

tuan1011nguyen/finetuned-en-to-vi

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

• Train Loss: 1.6355
• Validation Loss: 1.2848
• Epoch: 0

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1203, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
1.6355	1.2848	0

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1