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distilroberta-base-testingSB
This model is a fine-tuned version of distilroberta-base on a company specific, Danish dataset. It achieves the following results on the evaluation set:
- Loss: 1.0403
Model description
Customer-specific model used to embed asset management work orders in Danish
Intended uses & limitations
Customer-specific and trained for unsupervised categorization tasks
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: 3.0
Training results
Epoch Training Loss Validation Loss 1 0.988500 1.056376 2 0.996300 1.027803 3 0.990300 1.040270
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.98850 | 1.0 | 1461 | 1.5211 |
| 1.3179 | 2.0 | 2922 | 1.3314 |
| 1.1931 | 3.0 | 4383 | 1.2530 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
