metadata
base_model: vinai/bartpho-syllable
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: nlp_vietnamese_spelling
results: []
nlp_vietnamese_spelling
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: 0.1880
- Sacrebleu: 18.3011
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 |
|---|---|---|---|---|
| No log | 0.5020 | 1000 | 0.4600 | 13.7537 |
| No log | 1.0040 | 2000 | 0.3053 | 16.1411 |
| No log | 1.5060 | 3000 | 0.2361 | 17.3069 |
| No log | 2.0080 | 4000 | 0.1999 | 18.0085 |
| 0.5379 | 2.5100 | 5000 | 0.1880 | 18.3011 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1