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library_name: transformers
language:
- nan
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ZH
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_12_0
metrics:
- bleu
model-index:
- name: helsinki_new_ver4
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. -->
# helsinki_new_ver4
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ZH](https://huggingface.co/Helsinki-NLP/opus-mt-en-ZH) on the mozilla-foundation/common_voice_12_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5400
- Bleu: 2.4304
## 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: 23000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|
| 0.7027 | 0.6418 | 1000 | 0.6716 | 2.8141 |
| 0.6767 | 1.2837 | 2000 | 0.6546 | 9.1063 |
| 0.6526 | 1.9255 | 3000 | 0.6394 | 1.9859 |
| 0.643 | 2.5674 | 4000 | 0.6252 | 12.4882 |
| 0.6445 | 3.2092 | 5000 | 0.6118 | 8.8121 |
| 0.6326 | 3.8511 | 6000 | 0.6010 | 12.7405 |
| 0.604 | 4.4929 | 7000 | 0.5926 | 1.4845 |
| 0.5877 | 5.1348 | 8000 | 0.5827 | 12.9972 |
| 0.5721 | 5.7766 | 9000 | 0.5753 | 1.5982 |
| 0.5826 | 6.4185 | 10000 | 0.5672 | 1.6842 |
| 0.5622 | 7.0603 | 11000 | 0.5619 | 14.0609 |
| 0.5486 | 7.7022 | 12000 | 0.5557 | 14.2992 |
| 0.5451 | 8.3440 | 13000 | 0.5507 | 15.4044 |
| 0.5571 | 8.9859 | 14000 | 0.5463 | 8.4964 |
| 0.5448 | 9.6277 | 15000 | 0.5422 | 8.8203 |
| 0.5306 | 10.2696 | 16000 | 0.5400 | 2.4304 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
|