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kaelte
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: 0.1126
- F1: 0.9887
Label-Übersetzung
- 0 Freie_Kühlung
- 1 Kälteanlage_Allgemein
- 2 Kältemaschine
- 3 Kältespeicher
- 4 Rückkühlwerk
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 | 0.98 | 46 | 0.3264 | 0.9074 |
| No log | 1.98 | 92 | 0.1266 | 0.9590 |
| No log | 2.98 | 138 | 0.0603 | 0.9887 |
| No log | 3.98 | 184 | 0.1000 | 0.9887 |
| No log | 4.98 | 230 | 0.1075 | 0.9887 |
| No log | 5.98 | 276 | 0.1091 | 0.9887 |
| No log | 6.98 | 322 | 0.1109 | 0.9887 |
| No log | 7.98 | 368 | 0.1119 | 0.9887 |
| No log | 8.98 | 414 | 0.1124 | 0.9887 |
| No log | 9.98 | 460 | 0.1126 | 0.9887 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
