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vietnamese-correction-203
Frankie202/vietnamese-correction-203
vietnamese-correction-203 is a machine learning model from Frankie202. 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
- Jun 10, 2024
- Updated
- Jun 11, 2024
- SHA
- e3f9b2f7
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-203
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: 0.1838
- Sacrebleu: 27.6927
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.3565 | 0.7529 | 2000 | 0.1943 | 26.5749 |
| 0.1717 | 1.5059 | 4000 | 0.1713 | 27.1811 |
| 0.116 | 2.2588 | 6000 | 0.1705 | 27.3551 |
| 0.076 | 3.0118 | 8000 | 0.1582 | 27.5668 |
| 0.0418 | 3.7647 | 10000 | 0.1674 | 27.5994 |
| 0.0278 | 4.5176 | 12000 | 0.1839 | 27.6218 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- Created
- Jun 10, 2024
- Updated
- Jun 11, 2024