---
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