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AppleNote/model_output

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Model Card

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model_output

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

  • —Loss: 0.1620
  • —Lrap: 0.8561

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
  • —trainbatchsize: 128
  • —evalbatchsize: 128
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossLrap
No log1.01180.18820.8315
No log2.02360.16200.8561

Framework versions

  • —Transformers 5.10.2
  • —Pytorch 2.11.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2