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