Norwegian-intent-classifier

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1517
• Accuracy: 0.9729

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	Accuracy
0.1506	1.0	9799	0.1959	0.9609
0.109	2.0	19598	0.1526	0.9703
0.0692	3.0	29397	0.1517	0.9729

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.1+cu118
• Datasets 2.16.1
• Tokenizers 0.15.0