OPUS-en-zh-space

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

• Train Loss: 2.1344
• Validation Loss: 2.1915
• Train Bleu: 1.2720
• Train Gen Len: 90.6944
• Epoch: 2

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Bleu	Train Gen Len	Epoch
2.6555	2.2808	0.9739	91.3556	0
2.2690	2.2206	1.2037	90.5667	1
2.1344	2.1915	1.2720	90.6944	2

Framework versions

• Transformers 4.41.1
• TensorFlow 2.15.0
• Datasets 2.19.2
• Tokenizers 0.19.1