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This model is a fine-tuned version of google/mt5-base on dataset x-tech/cantonese-mandarin-translations.

Model description

The model translates Cantonese sentences to Mandarin.

Intended uses & limitations

When you use the model, please make sure to add translate cantonese to mandarin: <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
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This model can be loaded on the Inference API on-demand.

Dataset used to train botisan-ai/mt5-translate-yue-zh