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opus-mt-en-vi-finetuned-IWSLT15
tdobrxl/opus-mt-en-vi-finetuned-IWSLT15
opus-mt-en-vi-finetuned-IWSLT15 is a machine learning model from tdobrxl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is a fine-tuned version of the model Helsinki-NLP/opus-mt-en-vi on the dataset IWSLT'15 English-Vietnamese. Performance in terms of sacrebleu on the test set is as follows:
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At a glance
- Library
- transformers
- Model type
- marian
- Access
- Public
- Created
- Jun 3, 2022
- Updated
- Jun 6, 2022
- SHA
- 959db39d
Model card
From the Hugging Face model README
Overview
This is a fine-tuned version of the model Helsinki-NLP/opus-mt-en-vi on the dataset IWSLT'15 English-Vietnamese. Performance in terms of sacrebleu on the test set is as follows:
- Original opus-mt-en-vi: 29.83
- Fine-tuned opus-mt-en-vi: 37.35
Parameters
- learning_rate=2e-5
- batch_size: 32
- weight_decay=0.01
- num_train_epochs=1
Thoughts
- Model
Helsinki-NLP/opus-mt-en-viis small (around 260MB), and can be easily deployed to a cheap server (e.g., EC2 t2.medium) without a GPU - Easier and much faster to train compared to t5 or byt5.
- Library
- transformers
- Type
- marian
- Created
- Jun 3, 2022
- Updated
- Jun 6, 2022