readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: rlt
    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. -->
  
  # rlt
  
  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: 0.0381
  - F1: 0.9901
  
  ## Label-Übersetzungen
  
  - 0	Abluft
  - 1	Abluftfilter
  - 2	Abluftventilator
  - 3	Andere
  - 4	Aussenluftklappe
  - 5	Befeuchter
  - 6	Brandschutz
  - 7	Brandschutzklappe
  - 8	Erhitzer
  - 9	Kühler
  - 10	Nacherhitzer
  - 11	RLT_Anlage
  - 12	Raum
  - 13	Ventilator
  - 14	Vorerhitzer
  - 15	Wärmerückgewinnung
  - 16	Zuluft
  - 17	Zuluftuftfilter
  - 18	Zuluftventilator
  
  ## 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        | 0.99  | 36   | 1.7080          | 0.4733 |
  | No log        | 1.99  | 72   | 0.3576          | 0.9228 |
  | No log        | 2.99  | 108  | 0.1345          | 0.9689 |
  | No log        | 3.99  | 144  | 0.0519          | 0.9883 |
  | No log        | 4.99  | 180  | 0.0410          | 0.9917 |
  | No log        | 5.99  | 216  | 0.0633          | 0.9881 |
  | No log        | 6.99  | 252  | 0.0398          | 0.9932 |
  | No log        | 7.99  | 288  | 0.0415          | 0.9897 |
  | No log        | 8.99  | 324  | 0.0424          | 0.9901 |
  | No log        | 9.99  | 360  | 0.0381          | 0.9901 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  