metadata
library_name: transformers
language:
- nan
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ZH
tags:
- generated_from_trainer
datasets:
- sarahwei/Taiwanese-Minnan-Sutiau
metrics:
- bleu
model-index:
- name: helsinki_new_ver6.0
results: []
helsinki_new_ver6.0
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ZH on the sarahwei/Taiwanese-Minnan-Sutiau dataset. It achieves the following results on the evaluation set:
- Loss: 0.6805
- Bleu: 0.7794
- Ter: 99.4557
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 14000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Ter |
|---|---|---|---|---|---|
| 1.0468 | 0.4230 | 1000 | 0.9170 | 0.0299 | 130.9748 |
| 0.905 | 0.8460 | 2000 | 0.8370 | 0.0696 | 112.0732 |
| 0.8412 | 1.2690 | 3000 | 0.7959 | 0.2321 | 106.4819 |
| 0.8053 | 1.6920 | 4000 | 0.7646 | 0.7019 | 100.2474 |
| 0.777 | 2.1151 | 5000 | 0.7416 | 0.8663 | 100.4453 |
| 0.757 | 2.5381 | 6000 | 0.7222 | 0.8328 | 100.2474 |
| 0.7492 | 2.9611 | 7000 | 0.7088 | 0.8269 | 100.0990 |
| 0.716 | 3.3841 | 8000 | 0.6968 | 0.7207 | 100.0495 |
| 0.7169 | 3.8071 | 9000 | 0.6877 | 0.8254 | 99.4062 |
| 0.6951 | 4.2301 | 10000 | 0.6805 | 0.7794 | 99.4557 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1