nlp_vietnamese_spelling

VoTrongTinh/nlp_vietnamese_spelling

nlp_vietnamese_spelling is a machine learning model from VoTrongTinh. 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.

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

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At a glance

Library: transformers
Model type: mbart
Access: Public
Created: May 12, 2024
Updated: May 19, 2024
SHA: 5c1d1a6d

Base models

vinai/bartpho-syllable

Model card

From the Hugging Face model README

nlp_vietnamese_spelling

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: 0.1084
Sacrebleu: 19.1727

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu
1.0565	0.25	1000	0.4944	13.1438
0.5878	0.5	2000	0.2775	16.2433
0.4367	0.75	3000	0.2222	17.0610
0.3627	1.0	4000	0.1793	17.9412
0.2672	1.25	5000	0.1533	18.3610
0.2305	1.5	6000	0.1429	18.4508
0.2164	1.75	7000	0.1296	18.8490
0.1948	2.01	8000	0.1205	19.0083
0.1537	2.26	9000	0.1167	19.0106
0.1491	2.51	10000	0.1131	19.0764
0.1414	2.76	11000	0.1084	19.1727

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: mbart
Created: May 12, 2024
Updated: May 19, 2024