README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - squad_kor_v1
model-index:
  - name: koelectra-base-discriminator-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

koelectra-base-discriminator-finetuned-squad_kor_v1

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

• Loss: 0.5589

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
0.5774	1.0	4025	0.5589

Framework versions

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