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onedapperterm/LF6_Service_Classifier

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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LF6ServiceClassifier

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

  • —Loss: 0.0313

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
0.25681.06000.0639
0.05532.012000.0359
0.05153.018000.0313

Framework versions

  • —Transformers 4.29.2
  • —Pytorch 2.0.1
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3