metadata
base_model: vinai/bartpho-syllable
tags:
- vietnamese-model
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: nlp-vietnamese
results: []
nlp-vietnamese
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: 0.1109
- Sacrebleu: 18.8039
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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- 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 |
|---|---|---|---|---|
| No log | 0.992 | 62 | 0.7852 | 5.8526 |
| No log | 2.0 | 125 | 0.2320 | 12.5980 |
| No log | 2.992 | 187 | 0.1587 | 15.8119 |
| No log | 4.0 | 250 | 0.1222 | 17.9026 |
| No log | 4.96 | 310 | 0.1109 | 18.8039 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1