---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-cantonese-v1
  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. -->

# opus-mt-cantonese-v1

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7154
- Bleu: 1.4102
- Gen Len: 12.6992

## 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-06
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 62   | 3.7154          | 1.3724 | 12.7073 |
| No log        | 2.0   | 124  | 3.7185          | 1.3718 | 12.7398 |
| No log        | 3.0   | 186  | 3.7168          | 1.4342 | 12.6504 |
| No log        | 4.0   | 248  | 3.7168          | 1.4109 | 12.7805 |
| No log        | 5.0   | 310  | 3.7161          | 1.4265 | 12.7073 |
| No log        | 6.0   | 372  | 3.7150          | 1.4013 | 12.7114 |
| No log        | 7.0   | 434  | 3.7151          | 1.4102 | 12.7073 |
| No log        | 8.0   | 496  | 3.7152          | 1.3981 | 12.7439 |
| 2.0086        | 9.0   | 558  | 3.7152          | 1.4327 | 12.6951 |
| 2.0086        | 10.0  | 620  | 3.7154          | 1.4102 | 12.6992 |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2