bert-base-multilingual-uncased-vietnamese_sentiment_analysis

TankuVie/bert-base-multilingual-uncased-vietnamese_sentiment_analysis

bert-base-multilingual-uncased-vietnamese_sentiment_analysis is a text classification model from TankuVie. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 28, 2023
Updated: Jul 28, 2023
SHA: f82df099

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Base models

Datasets

vietnamese_students_feedback

Model card

From the Hugging Face model README

bert-base-multilingual-uncased-vietnamese_sentiment_analysis

This model is a fine-tuned version of bert-base-multilingual-uncased on the vietnamese_students_feedback dataset. It achieves the following results on the evaluation set:

Loss: 0.2852
Accuracy: 0.9280

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4054	1.0	715	0.2864	0.9154
0.2643	2.0	1430	0.2852	0.9280

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 28, 2023
Updated: Jul 28, 2023