metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
widget:
- text: 12064SAN101WAZW05
- text: 11004SAN001AH01SM83
- text: 11004SAN002DE02SM46
- text: 11040HZG501WW01MT01
- text: Stör. Tauchpumpen fest
base_model: bert-base-german-cased
model-index:
- name: Klassifizierung-Sanitaer
results: []
Klassifizierung-Sanitaer
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4922
- F1: 0.7374
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.4874 | 1.0 | 11 | 1.0656 | 0.6124 |
| 0.9892 | 2.0 | 22 | 0.6269 | 0.7374 |
| 0.5846 | 3.0 | 33 | 0.4922 | 0.7374 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1