Prgrg/ja-en-JESC-v1.0

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

• Train Loss: 2.6718
• Validation Loss: 2.7199
• Epoch: 3

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': 0.0005, 'decay_steps': 100000, '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': 0.001}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
3.4950	3.1973	0
3.0956	2.9648	1
2.8593	2.8061	2
2.6718	2.7199	3

Framework versions

• Transformers 4.26.1
• TensorFlow 2.9.1
• Datasets 2.10.1
• Tokenizers 0.13.2