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kcbert-base-finetuned-squad

This model is a fine-tuned version of beomi/kcbert-base on the klue dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6736

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: 3

Training results

Training Loss Epoch Step Validation Loss
1.2221 1.0 4245 1.2784
0.7673 2.0 8490 1.4099
0.4479 3.0 12735 1.6736

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Dataset used to train tucan9389/kcbert-base-finetuned-squad