nlp04/korean_sentiment_analysis_kcelectra

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koreansentimentanalysis_kcelectra

This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9718
• —Micro f1 score: 70.7183
• —Auprc: 68.4562
• —Accuracy: 0.7072

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0

Training results

Framework versions

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