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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: korean_sentiment_analysis_kcelectra
    results: []

korean_sentiment_analysis_kcelectra

This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 on an unknown dataset.

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