opus-mt-en-zh-finetuned-en-to-zh
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the wmt19 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6765
- Bleu: 22.4693
- Gen Len: 19.699
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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.7238 | 1.0 | 6250 | 1.6765 | 22.4693 | 19.699 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for weege007/opus-mt-en-zh-finetuned-en-to-zh
Base model
Helsinki-NLP/opus-mt-en-zhDataset used to train weege007/opus-mt-en-zh-finetuned-en-to-zh
Evaluation results
- Bleu on wmt19self-reported22.469