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metadata
tags:
  - generated_from_trainer
datasets:
  - squad_kor_v1
model-index:
  - name: kobert-finetuned-squad_kor_v1
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: squad_kor_v1
          type: squad_kor_v1
          args: squad_kor_v1

kobert-finetuned-squad_kor_v1

This model is a fine-tuned version of monologg/kobert on the squad_kor_v1 dataset. It achieves the following results on the evaluation set:

  • Loss: 4.0928

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
4.0155 1.0 3808 4.0928

Framework versions

  • Transformers 4.10.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.11.0
  • Tokenizers 0.10.3