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jtatman/distillbert-base-sst-myers-briggs-description-classifier

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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distillbert-base-sst-myers-briggs-description-classifier

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2855

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: 8
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 20

Training results

Training LossEpochStepValidation Loss
0.09361.025000.3422
0.15572.050000.2855
0.01553.075000.3021
0.14124.0100000.3687
0.00035.0125000.4161
0.00046.0150000.4081
0.00297.0175000.4592

Framework versions

  • —Transformers 4.46.3
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.20.3