| --- |
| license: apache-2.0 |
| base_model: Helsinki-NLP/opus-mt-en-zh |
| tags: |
| - generated_from_trainer |
| datasets: |
| - wmt19 |
| metrics: |
| - bleu |
| model-index: |
| - name: opus-mt-en-zh-finetuned-en-to-zh |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: wmt19 |
| type: wmt19 |
| config: zh-en |
| split: train |
| args: zh-en |
| metrics: |
| - name: Bleu |
| type: bleu |
| value: 22.4693 |
| --- |
| |
| <!-- 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. --> |
|
|
| # opus-mt-en-zh-finetuned-en-to-zh |
|
|
| 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 wmt19 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6765 |
| - Bleu: 22.4693 |
| - Gen Len: 19.699 |
|
|
| ## 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-05 |
| - 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: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 1.7238 | 1.0 | 6250 | 1.6765 | 22.4693 | 19.699 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
