pastells/en-zh-test

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: 3.6747
• Validation Loss: 4.4216
• Train Bleu: 0.0097
• Train Gen Len: 100.1395
• Epoch: 4

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
4.4659	4.4875	0.0102	99.2093	0
4.2023	4.4382	0.0588	34.8372	1
4.0009	4.4255	0.0568	34.5116	2
3.8234	4.4239	0.0641	33.3488	3
3.6747	4.4216	0.0097	100.1395	4

Framework versions

• Transformers 4.41.1
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1