readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: hzg
    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. -->
  
  # hzg
  
  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: 0.0046
  - F1: 1.0
  
  ## Label-Übersetzungen
  
  - 0	BHKW
  - 1	Fernwärme
  - 2	Heizkreis_Verbraucher
  - 3	Heizungsanlage_Allgemein
  - 4	Kessel
  - 5	Kreis_Erzeuger(Zubringer)
  - 6	Pufferspeicher
  - 7	Warmwasserbereitung
  - 8	Wärmepumpe
  - 9	Wärmetauscher
  - 10	Wärmeübertrager
  - 11	Zähler
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.96  | 17   | 0.7953          | 0.7786 |
  | No log        | 1.96  | 34   | 0.2800          | 0.9125 |
  | No log        | 2.96  | 51   | 0.0864          | 0.9929 |
  | No log        | 3.96  | 68   | 0.0355          | 0.9932 |
  | No log        | 4.96  | 85   | 0.0093          | 1.0    |
  | No log        | 5.96  | 102  | 0.0348          | 0.9929 |
  | No log        | 6.96  | 119  | 0.0045          | 1.0    |
  | No log        | 7.96  | 136  | 0.0055          | 1.0    |
  | No log        | 8.96  | 153  | 0.0047          | 1.0    |
  | No log        | 9.96  | 170  | 0.0046          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  