Prgrg/ja-en-dataset-v3.0-subset-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: 1.9548
• Validation Loss: 1.7305
• 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': 'Adam', 'weight_decay': 0.0, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'LinearWarmupCosineSchedule', 'config': {'initial_learning_rate': 0.0005, 'num_warmup_steps': 56362, 'num_training_steps': 563628}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.7629	1.9424	0
1.9548	1.7305	1

Framework versions

• Transformers 4.27.3
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2