readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: gewerke
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # gewerke
  
  This model is a fine-tuned version of [svalabs/gbert-large-zeroshot-nli](https://huggingface.co/svalabs/gbert-large-zeroshot-nli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0089
  - F1: 0.9974
  
  ## Label-Übersetzung
  
  - 0 Abwasser-Wasser-Gasanlagen
  - 1 Andere Anlagen
  - 2 Gebäudeautomation
  - 3 Kälteanlagen
  - 4 Lufttechnische Anlagen
  - 5 Starkstromanlagen
  - 6 Wärmeversorungsanlagen
  
  ## 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: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.99  | 90   | 0.0444          | 0.9886 |
  | No log        | 1.99  | 180  | 0.0182          | 0.9947 |
  | No log        | 2.99  | 270  | 0.0103          | 0.9974 |
  | No log        | 3.99  | 360  | 0.0152          | 0.9946 |
  | No log        | 4.99  | 450  | 0.0089          | 0.9974 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  