metadata
base_model: vinai/bartpho-syllable
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: vi-correction-model
results: []
vi-correction-model
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: 0.2603
- Sacrebleu: 13.8971
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: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| No log | 0.96 | 12 | 0.7531 | 10.4358 |
| No log | 2.0 | 25 | 0.7129 | 10.4963 |
| No log | 2.96 | 37 | 0.4248 | 11.1595 |
| No log | 4.0 | 50 | 0.3501 | 11.6392 |
| No log | 4.96 | 62 | 0.3043 | 12.6744 |
| No log | 6.0 | 75 | 0.2758 | 13.4012 |
| No log | 6.96 | 87 | 0.2629 | 13.7842 |
| No log | 7.68 | 96 | 0.2603 | 13.8971 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1