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LF6_Service_Classifier
This model is a fine-tuned version of dbmdz/bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0313
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: 2e-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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2568 | 1.0 | 600 | 0.0639 |
| 0.0553 | 2.0 | 1200 | 0.0359 |
| 0.0515 | 3.0 | 1800 | 0.0313 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
