metadata
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: []
opus-mt-cantonese-v1
This model is a fine-tuned version of 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