distilbert-base-german-cased-finetuned-esco_skills
This model is a fine-tuned version of distilbert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4925
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| No log | 1.0 | 3 | 9.1535 |
| No log | 2.0 | 6 | 8.6874 |
| No log | 3.0 | 9 | 8.3592 |
Framework versions
- Transformers 4.25.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2