metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bart-base-cantonese-v4
    results: []

bart-base-cantonese-v4

This model is a fine-tuned version of notebooks/cantonese/bart-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9313
Accuracy: 0.8312

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Framework versions

Transformers 4.28.1
Pytorch 2.4.1+cu121
Datasets 2.19.1
Tokenizers 0.13.3