output
This model is a fine-tuned version of google/mt5-base on dataset x-tech/cantonese-mandarin-translations.
Model description
The model translates Mandarin sentences to Cantonese.
Intended uses & limitations
When you use the model, please make sure to add translate mandarin to cantonese: <sentence> (please note the space after colon) before the text you want to translate.
Training and evaluation data
Training Dataset: x-tech/cantonese-mandarin-translations
Training procedure
Training is based on example in transformers library
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Since we still need to set up validation set, we do not have any training results yet.
Framework versions
- Transformers 4.12.5
- Pytorch 1.8.1
- Datasets 1.15.1
- Tokenizers 0.10.3