yudiwbs/marian-finetuned-kde4-en-to-id

Penjelasan: https://yudiwbs.wordpress.com/2023/09/01/fine-tune-model-machine-translation-inggris-indonesia-en-id/

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

• Train Loss: 0.5779
• Validation Loss: 0.6892
• Epoch: 2

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
1.0329	0.7683	0
0.7086	0.7042	1
0.5779	0.6892	2

Framework versions

• Transformers 4.32.1
• TensorFlow 2.12.0
• Datasets 2.14.4
• Tokenizers 0.13.3