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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
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Evaluation results