| language: | |
| - zh | |
| - yue | |
| - multilingual | |
| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - x-tech/cantonese-mandarin-translations | |
| base_model: google/mt5-base | |
| model-index: | |
| - name: output | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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: <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](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 | |