lwolfrat/bert-base-german-cased-holdout-1200-cluster

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bert-base-german-cased-holdout-1200-cluster

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: 0.2809
• —Accuracy: 0.9542
• —Precision Macro: 0.3181
• —Recall Macro: 0.3333
• —F1 Macro: 0.3255
• —Krippendorffs Alpha: -0.0158

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: 1.1200907414145304e-06
• —trainbatchsize: 1
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.53.1
• —Pytorch 2.7.1+cu126
• —Datasets 3.6.0
• —Tokenizers 0.21.2