---
base_model: /notebooks/cantonese/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-cantonese
  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. -->

# bart-base-cantonese

This model is a fine-tuned version of [/notebooks/cantonese/bart-base-chinese](https://huggingface.co//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