metadata

license: mit
base_model: VietAI/vit5-base
tags:
  - text2text-generation
  - generated_from_trainer
metrics:
  - rouge
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: 0.0456
Rouge1: 75.1415
Rouge2: 72.5591
Rougel: 74.7125
Rougelsum: 74.7157
Gen Len: 18.5922

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.101	1.0	7500	0.0456	75.1415	72.5591	74.7125	74.7157	18.5922

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1