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_ver5.2
results: []
helsinki_new_ver5.2
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: 0.2017
- Bleu: 2.0589
- Ter: 93.3806
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: 3e-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 |
|---|---|---|---|---|---|
| 0.2448 | 0.4230 | 1000 | 0.2484 | 0.2369 | 95.6659 |
| 0.22 | 0.8460 | 2000 | 0.2238 | 0.4532 | 93.8534 |
| 0.1998 | 1.2690 | 3000 | 0.2154 | 0.5837 | 92.9078 |
| 0.1903 | 1.6920 | 4000 | 0.2099 | 0.8498 | 92.0410 |
| 0.175 | 2.1151 | 5000 | 0.2070 | 1.1658 | 93.2230 |
| 0.1675 | 2.5381 | 6000 | 0.2051 | 1.6545 | 93.2230 |
| 0.1684 | 2.9611 | 7000 | 0.2039 | 1.3913 | 92.1986 |
| 0.1573 | 3.3841 | 8000 | 0.2032 | 1.5844 | 92.0410 |
| 0.1564 | 3.8071 | 9000 | 0.2027 | 1.0087 | 104.3341 |
| 0.1532 | 4.2301 | 10000 | 0.2018 | 2.1594 | 92.9866 |
| 0.1486 | 4.6531 | 11000 | 0.2019 | 2.2898 | 93.8534 |
| 0.1576 | 5.0761 | 12000 | 0.2018 | 2.0100 | 92.4350 |
| 0.1439 | 5.4992 | 13000 | 0.2016 | 2.0117 | 93.3806 |
| 0.1486 | 5.9222 | 14000 | 0.2017 | 2.0589 | 93.3806 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1