vi-correction-t5

52101007-HuynhQuocTruong/vi-correction-t5

vi-correction-t5 is a machine learning model from 52101007-HuynhQuocTruong. 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: May 16, 2024
Updated: May 16, 2024
SHA: 08dfc525

Base models

Model card

From the Hugging Face model README

vi-correction-t5

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

Loss: 0.1465
Sacrebleu: 0.4788

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu
No log	0.992	93	0.1898	0.1884
No log	1.9947	187	0.1586	0.4429
No log	2.9973	281	0.1491	0.4715
No log	3.968	372	0.1465	0.4788

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 16, 2024
Updated: May 16, 2024