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---
base_model: vinai/bartpho-syllable
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: nlp_vietnamese_spelling
results: []
---
<!-- 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. -->
# nlp_vietnamese_spelling
This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1084
- Sacrebleu: 19.1727
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 1.0565 | 0.25 | 1000 | 0.4944 | 13.1438 |
| 0.5878 | 0.5 | 2000 | 0.2775 | 16.2433 |
| 0.4367 | 0.75 | 3000 | 0.2222 | 17.0610 |
| 0.3627 | 1.0 | 4000 | 0.1793 | 17.9412 |
| 0.2672 | 1.25 | 5000 | 0.1533 | 18.3610 |
| 0.2305 | 1.5 | 6000 | 0.1429 | 18.4508 |
| 0.2164 | 1.75 | 7000 | 0.1296 | 18.8490 |
| 0.1948 | 2.01 | 8000 | 0.1205 | 19.0083 |
| 0.1537 | 2.26 | 9000 | 0.1167 | 19.0106 |
| 0.1491 | 2.51 | 10000 | 0.1131 | 19.0764 |
| 0.1414 | 2.76 | 11000 | 0.1084 | 19.1727 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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