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vietnamese-correction-v2
somuch/vietnamese-correction-v2
vietnamese-correction-v2 is a machine learning model from somuch. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- May 22, 2024
- Updated
- May 22, 2024
- SHA
- a3ef4566
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. -->
vietnamese-correction-v2
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1686
- Sacrebleu: 19.4327
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- Created
- May 22, 2024
- Updated
- May 22, 2024