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
- Downloads last month
- 33
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.
Model tree for botisan-ai/mt5-translate-zh-yue
Base model
google/mt5-base