This model is a fine-tuned version of bert-base-german-cased on the gart-labor "klassifizierung_rlt_v2" dataset.
It achieves the following results on the evaluation set:
This model makes it possible to classify the components of room ventilation technology 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 ventilation technology categories:
Exhaust air, Exhaust air filter, Exhaust air fan, Other, Outside air damper, Humidifier, Fire protection, Fire damper, Heater, Cooler, Reheater, AHU, Room, Fan, Preheater, Heat recovery, Supply air, Supply air filter and supply air fan.
Training and evaluation data
The model is based on a German-language data set.
Training procedure
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
