opus-mt-en-zh-finetuned-en-to-zh
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the None dataset.
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 10 | 4.0166 | 1.3628 | 416.6867 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cpu
- Datasets 1.14.0
- Tokenizers 0.10.3