korean_sentiment_analysis_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
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_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