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ariansyahdedy/improved_modernbert-llm-router

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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improved_modernbert-llm-router

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

  • —Loss: 0.0806
  • —F1: 0.9793

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: 5e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
0.42791.01200.04910.9876
0.04742.02400.03390.9915
0.02633.03600.02500.9931
0.01524.04800.03980.9900
0.015.06000.08060.9793

Framework versions

  • —Transformers 4.48.0
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.1.0
  • —Tokenizers 0.21.0