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rlt
This model is a fine-tuned version of 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
