metadata

language:
  - yue
  - zh
  - multilingual
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - botisan-ai/cantonese-mandarin-translations
base_model: google/mt5-base
model-index:
  - name: output
    results: []

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