metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: hzg
results: []
hzg
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: 0.0046
- 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