Model created to classify usser intents for LF6 project.
LF6_Serice_Classifier
This model is a fine-tuned version of dbmdz/bert-base-german-cased on an synthetic dataset. It achieves the following results on the evaluation set:
- Loss: 0.0457
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 |
|---|---|---|---|
| 0.2098 | 1.0 | 600 | 0.0646 |
| 0.0501 | 2.0 | 1200 | 0.0522 |
| 0.037 | 3.0 | 1800 | 0.0457 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Tokenizers 0.13.3
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