---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bart-base-cantonese-v6
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-cantonese-v6

This model is a fine-tuned version of [notebooks/cantonese/bart-base-chinese-v2](https://huggingface.co/notebooks/cantonese/bart-base-chinese-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2737
- Accuracy: 0.7885

## 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: 1e-06
- 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