| --- |
| license: apache-2.0 |
| base_model: Helsinki-NLP/opus-mt-en-zh |
| tags: |
| - translation |
| - generated_from_trainer |
| datasets: |
| - kde4 |
| metrics: |
| - bleu |
| model-index: |
| - name: marian-finetuned-kde4-en-to-zh-tw |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: kde4 |
| type: kde4 |
| config: en-zh_TW |
| split: train |
| args: en-zh_TW |
| metrics: |
| - name: Bleu |
| type: bleu |
| value: 40.065781493415884 |
| --- |
| |
| <!-- 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/e1805/huggingface/runs/nee38wft) |
| # marian-finetuned-kde4-en-to-zh-tw |
|
|
| 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 kde4 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9680 |
| - Bleu: 40.0658 |
|
|
| ## Model description |
|
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| More information needed |
|
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
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| ### Training results |
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| ### Framework versions |
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|
| - Transformers 4.42.4 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.15.0 |
| - Tokenizers 0.19.1 |
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|
