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Klassifizierung-Sanitaer – AI Model by Simon17 | AlphaNeural AI
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Simon17
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Klassifizierung-Sanitaer
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Klassifizierung-Sanitaer
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: 0.4922
F1: 0.7374
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
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
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.4874
1.0
11
1.0656
0.6124
0.9892
2.0
22
0.6269
0.7374
0.5846
3.0
33
0.4922
0.7374
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
