vietnamese-correction-v1

BaoPhanDuy/vietnamese-correction-v1

vietnamese-correction-v1 is a machine learning model from BaoPhanDuy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Oct 7, 2024
Updated: Oct 7, 2024
SHA: 700b9f20

Base models

Model card

From the Hugging Face model README

vietnamese-correction-v1

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2242
Model Preparation Time: 0.0043
Sacrebleu: 0.5538

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Sacrebleu
0.4186	0.4706	10000	0.2757	0.0043	0.5159
0.3003	0.9412	20000	0.2417	0.0043	0.5367
0.2747	1.4118	30000	0.2287	0.0043	0.5476
0.2641	1.8824	40000	0.2244	0.0043	0.5531

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 7, 2024
Updated: Oct 7, 2024