metadata

base_model: /notebooks/cantonese/bart-base-chinese
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bart-base-cantonese
    results: []

bart-base-cantonese

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: 0.8513
Accuracy: 0.8363

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3.0

Training results

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0