nlp04/korean_sentiment_analysis_dataset3_best

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koreansentimentanalysisdataset3best

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.6.0
• —Datasets 2.7.1
• —Tokenizers 0.13.2