metadata

library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
  - text2text-generation
  - generated_from_trainer
metrics:
  - sacrebleu
model-index:
  - name: vietnamese-correction
    results: []

vietnamese-correction

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: 0.2561
Model Preparation Time: 0.0049
Sacrebleu: 27.4762

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Sacrebleu
0.1191	21.3333	20000	0.2198	0.0049	27.3651
0.009	42.6667	40000	0.2546	0.0049	27.4868

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3