opus-mt-zh-en-finetuned-chn-to-eng
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the dataset News Commentary v13 which you can find in EMNLP 2018 THIRD CONFERENCE ON MACHINE TRANSLATION (WMT18).
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- num_epochs: 10
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
- sentencepiece 0.1.99
- Downloads last month
- 10
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.