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GPC_Brick_Klassifikator – AI Model by sianbrumm | AlphaNeural AI
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GPC_Brick_Klassifikator
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transformers
safetensors
bert
text-classification
generated_from_trainer
dbmdz/bert-base-german-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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
