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---
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license: apache-2.0
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tags:
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- translation
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datasets:
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- kde4
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metrics:
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- bleu
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model-index:
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- name: marian-finetuned-kde4-en-to-zh_TW-accelerate
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: kde4
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type: kde4
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args: en-zh_TW
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metrics:
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- name: Bleu
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type: bleu
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value: 40.07
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---
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# marian-finetuned-kde4-en-to-zh_TW-accelerate
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## Model description
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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.
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It achieves the following results on the evaluation set:
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- Bleu: 40.70
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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:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.11.0 |
