BACnet-Klassifizierung-Heizungstechnik

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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

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1