README.md

metadata

license: mit
base_model: VietAI/vit5-base
tags:
  - text2text-generation
  - generated_from_trainer
metrics:
  - sacrebleu
model-index:
  - name: ViT5_Vietnamese_Correction
    results: []

ViT5_Vietnamese_Correction

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0413
• Sacrebleu: 34.6205

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: 5e-05
• train_batch_size: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu
0.0503	1.0	10000	0.0413	34.6205

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1