---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cantonese-chinese-translation
  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. -->

# cantonese-chinese-translation

This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2373
- Bleu: 58.9213
- Chrf: 57.6665
- Gen Len: 12.8396

## 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: 2e-05
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Chrf    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|
| 0.3565        | 0.48  | 1000 | 0.2624          | 58.3152 | 56.9278 | 12.8539 |
| 0.3077        | 0.96  | 2000 | 0.2403          | 58.4429 | 57.226  | 12.8036 |
| 0.2297        | 1.44  | 3000 | 0.2469          | 58.6654 | 57.3437 | 12.8374 |
| 0.2256        | 1.92  | 4000 | 0.2373          | 58.9213 | 57.6665 | 12.8396 |
| 0.1711        | 2.39  | 5000 | 0.2427          | 58.8291 | 57.4604 | 12.8506 |
| 0.1694        | 2.87  | 6000 | 0.2500          | 58.4154 | 57.0752 | 12.813  |
| 0.1336        | 3.35  | 7000 | 0.2575          | 58.4311 | 57.0237 | 12.8415 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.13.3