J1N2/kcbert-base-finetune-emotion-classification

results

This model is a fine-tuned version of beomi/kcbert-base on the None dataset.

Model description

This model is fine-tuned for the purpose of Korean sentence emotion analysis. The dataset used was a '한국어 감정 정보가 포함된 단발성 대화 데이터셋' from AI Hub.

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1