# botisan-ai /mt5-translate-zh-yue

 --- language: - zh - yue license: apache-2.0 tags: - generated_from_trainer model-index: - name: output results: [] datasets: - x-tech/cantonese-mandarin-translations --- # output This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on dataset [x-tech/cantonese-mandarin-translations](https://huggingface.co/datasets/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:  (please note the space after colon) before the text you want to translate. ## Training and evaluation data Training Dataset: [x-tech/cantonese-mandarin-translations](https://huggingface.co/datasets/x-tech/cantonese-mandarin-translations) ## Training procedure Training is based on [example in transformers library](https://github.com/huggingface/transformers/tree/master/examples/pytorch/translation) ### 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