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en-vi-machine-translation
binhphap5/en-vi-machine-translation
en-vi-machine-translation is a machine learning model from binhphap5. 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 custom Transformer encoder-decoder model. Training from scratch on iwslt2015-en-vi datasets.
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At a glance
- Library
- transformers
- Model type
- seq2seq_transformer
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Apr 4, 2025
- SHA
- cef49404
Model card
From the Hugging Face model README
en-vi-machine-translation
This is a custom Transformer encoder-decoder model. Training from scratch on iwslt2015-en-vi datasets.
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:
- train_batch_size:
- eval_batch_size:
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs:
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- seq2seq_transformer
- Created
- Feb 25, 2025
- Updated
- Apr 4, 2025