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Wiebke/bert-base-german-cased-germeval2024

sourceHugging Facemitupdated 2y agoView on Hugging Face
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bert-base-german-cased-germeval2024

This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.9423
  • —Accuracy: 0.4952
  • —F1: 0.5454

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1
0.92310.9831581.39250.43510.5393
0.48281.96611161.90500.50.5349
0.17642.94921742.31040.54810.5584
0.07373.93222322.60770.53120.5683
0.02974.91532902.94230.49520.5454

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1