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