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t5-translation-hanviet
nvtt1124/t5-translation-hanviet
t5-translation-hanviet is a machine learning model from nvtt1124. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- 279f44f6
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
t5-translation-hanviet
This model is a fine-tuned version of NVTT1124/t5-translation-hanviet on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0255
- eval_runtime: 3.8708
- eval_samples_per_second: 96.62
- eval_steps_per_second: 12.142
- epoch: 4.6036
- step: 778
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 5.5.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026