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crawler_cat_brick_model

This model is a fine-tuned version of dbmdz/bert-base-german-uncased on an unknown dataset.

Model description

Ein BERT-Modell zur Klassifikation von Produkten in GPC-Brick-Klassen

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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