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: 0.3776
- Sacrebleu: 9.6073
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 1.6702 | 0.4803 | 500 | 0.8637 | 5.3242 |
| 1.0413 | 0.9606 | 1000 | 0.6961 | 6.4143 |
| 0.7764 | 1.4409 | 1500 | 0.5493 | 7.8371 |
| 0.6854 | 1.9212 | 2000 | 0.4883 | 8.3411 |
| 0.5523 | 2.4015 | 2500 | 0.4498 | 8.7689 |
| 0.5078 | 2.8818 | 3000 | 0.4146 | 9.2720 |
| 0.4226 | 3.3622 | 3500 | 0.4010 | 9.3349 |
| 0.4222 | 3.8425 | 4000 | 0.3924 | 9.4525 |
| 0.3832 | 4.3228 | 4500 | 0.3839 | 9.5898 |
| 0.3634 | 4.8031 | 5000 | 0.3776 | 9.6073 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1