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BACnet-Klassifizierung-Heizungstechnik-bert-base-german-cased
This model is a fine-tuned version of bert-base-german-cased on the gart-labor "klassifizierung_heizung_v2" dataset. It achieves the following results on the evaluation set:
- Loss: 0.0798
- F1: [1. 1. 0.99 0.94117647 1. 0.90909091 1. 1. 1. 1. ]
Model description
This model makes it possible to classify the heating technology components described with the BACnet standard into different categories. The model is based on a German-language data set.
Intended uses & limitations
The model divides descriptive texts into the following categories of heating technology: CHP, District heating, Heating_circuit_consumer, Heating_system_general, Boiler, Circuit_generator(feeder), Buffer storage, Hot water preparation, Heat pump, Heat exchanger, Heat exchanger and Meter.
Training and evaluation data
The model is based on a German-language data set.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0281 | 0.9 | 8 | 0.0798 | [1. 1. 0.99 0.94117647 1. 0.90909091 1. 1. 1. 1. ] |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
