<!-- 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 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