korean_sentiment_analysis_dataset3_best

nlp04/korean_sentiment_analysis_dataset3_best

korean_sentiment_analysis_dataset3_best is a text classification model from nlp04. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Jan 15, 2023
Updated: Jan 15, 2023
SHA: 346a8818

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Model card

From the Hugging Face model README

korean_sentiment_analysis_dataset3_best

This model is a fine-tuned version of klue/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6989
Micro f1 score: 76.6383
Auprc: 81.5157
Accuracy: 0.7664

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Micro f1 score	Auprc	Accuracy
0.7997	1.0	5080	0.6822	74.7769	79.4361	0.7478
0.4544	2.0	10160	0.6608	76.7429	81.1265	0.7674
0.5702	3.0	15240	0.6989	76.6383	81.5157	0.7664

Framework versions

Transformers 4.25.1
Pytorch 1.6.0
Datasets 2.7.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
Created: Jan 15, 2023
Updated: Jan 15, 2023