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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Model tree for sianbrumm/GPC_Brick_Klassifikator
Base model
dbmdz/bert-base-german-uncased