OPUS-en-zh-BEI_DE_3

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: 3.4374
• Validation Loss: 3.6565
• Train Bleu: 0.6300
• Train Gen Len: 94.5993
• 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
3.9844	3.7141	0.4650	93.8384	0
3.6472	3.6723	0.5867	93.3232	1
3.4374	3.6565	0.6300	94.5993	2

Framework versions

• Transformers 4.47.1
• TensorFlow 2.18.0
• Datasets 3.2.0
• Tokenizers 0.21.0