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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_17_0
metrics:
- bleu
model-index:
- name: helsinki_new_ver3
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_ver3
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_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7044
- Bleu: 2.2015
## 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: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.9675 | 0.32 | 1000 | 1.0573 | 0.7690 |
| 0.9217 | 0.64 | 2000 | 0.9924 | 1.3531 |
| 0.8782 | 0.96 | 3000 | 0.9463 | 1.8407 |
| 0.8377 | 1.28 | 4000 | 0.9078 | 3.0190 |
| 0.8304 | 1.6 | 5000 | 0.8765 | 2.1759 |
| 0.8114 | 1.92 | 6000 | 0.8479 | 3.2072 |
| 0.7735 | 2.24 | 7000 | 0.8247 | 4.0669 |
| 0.7667 | 2.56 | 8000 | 0.8051 | 5.6676 |
| 0.7547 | 2.88 | 9000 | 0.7882 | 4.2755 |
| 0.7151 | 3.2 | 10000 | 0.7712 | 5.7800 |
| 0.7103 | 3.52 | 11000 | 0.7591 | 6.0659 |
| 0.7095 | 3.84 | 12000 | 0.7458 | 7.0038 |
| 0.7044 | 4.16 | 13000 | 0.7351 | 1.7120 |
| 0.6717 | 4.48 | 14000 | 0.7250 | 8.0104 |
| 0.6856 | 4.8 | 15000 | 0.7169 | 2.1741 |
| 0.6755 | 5.12 | 16000 | 0.7097 | 2.1614 |
| 0.6635 | 5.44 | 17000 | 0.7044 | 2.2015 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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